From 72c42c74db16e17c8cfcdda6959a54e0d94097f3 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 1 Sep 2018 16:23:54 +0530 Subject: [PATCH 01/39] Remove ocr --- camelot/__init__.py | 2 +- camelot/ocr.py | 331 -------------------------------------------- tools/camelot | 186 ------------------------- 3 files changed, 1 insertion(+), 518 deletions(-) delete mode 100644 camelot/ocr.py diff --git a/camelot/__init__.py b/camelot/__init__.py index 55aee51..b9b5f18 100644 --- a/camelot/__init__.py +++ b/camelot/__init__.py @@ -1,3 +1,3 @@ __version__ = '1.2.0' -__all__ = ['pdf', 'lattice', 'stream', 'ocr'] +__all__ = ['pdf', 'lattice', 'stream'] diff --git a/camelot/ocr.py b/camelot/ocr.py deleted file mode 100644 index 48d1983..0000000 --- a/camelot/ocr.py +++ /dev/null @@ -1,331 +0,0 @@ -import os -import copy -import logging -import subprocess - -import pyocr -from PIL import Image - -from .table import Table -from .imgproc import (adaptive_threshold, find_lines, find_table_contours, - find_table_joints, remove_lines, find_cuts) -from .utils import merge_close_values, encode_list - - -__all__ = ['OCRLattice', 'OCRStream'] -logger = logging.getLogger('app_logger') - - -class OCRLattice: - """Lattice, but for images. - - Parameters - ---------- - table_area : list - List of strings of the form x1,y1,x2,y2 where - (x1, y1) -> left-top and (x2, y2) -> right-bottom in OpenCV's - coordinate space, denoting table areas to analyze. - (optional, default: None) - - mtol : list - List of ints specifying m-tolerance parameters. - (optional, default: [2]) - - blocksize : int - Size of a pixel neighborhood that is used to calculate a - threshold value for the pixel: 3, 5, 7, and so on. - (optional, default: 15) - - threshold_constant : float - Constant subtracted from the mean or weighted mean - (see the details below). Normally, it is positive but may be - zero or negative as well. - (optional, default: -2) - - dpi : int - Dots per inch. - (optional, default: 300) - - layout : int - Tesseract page segmentation mode. - (optional, default: 7) - - lang : string - Language to be used for OCR. - (optional, default: 'eng') - - scale : int - Used to divide the height/width of a pdf to get a structuring - element for image processing. - (optional, default: 15) - - iterations : int - Number of iterations for dilation. - (optional, default: 0) - - debug : string - {'contour', 'line', 'joint', 'table'} - Set to one of the above values to generate a matplotlib plot - of detected contours, lines, joints and the table generated. - (optional, default: None) - """ - def __init__(self, table_area=None, mtol=[2], blocksize=15, threshold_constant=-2, - dpi=300, layout=7, lang="eng", scale=15, iterations=0, debug=None): - - self.method = 'ocrl' - self.table_area = table_area - self.mtol = mtol - self.blocksize = blocksize - self.threshold_constant = threshold_constant - self.tool = pyocr.get_available_tools()[0] # fix this - self.dpi = dpi - self.layout = layout - self.lang = lang - self.scale = scale - self.iterations = iterations - self.debug = debug - - def get_tables(self, pdfname): - if self.tool is None: - return None - - bname, __ = os.path.splitext(pdfname) - imagename = ''.join([bname, '.png']) - logger.info('Processing {0}.'.format(os.path.basename(bname))) - - gs_call = [ - "-q", "-sDEVICE=png16m", "-o", imagename, "-r{0}".format(self.dpi), - pdfname - ] - if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): - gs_call.insert(0, "gs") - else: - gs_call.insert(0, "gsc") - subprocess.call(gs_call, stdout=open(os.devnull, 'w'), - stderr=subprocess.STDOUT) - - img, threshold = adaptive_threshold(imagename, blocksize=self.blocksize, - c=self.threshold_constant) - vmask, v_segments = find_lines(threshold, direction='vertical', - scale=self.scale, iterations=self.iterations) - hmask, h_segments = find_lines(threshold, direction='horizontal', - scale=self.scale, iterations=self.iterations) - - if self.table_area is not None: - areas = [] - for area in self.table_area: - x1, y1, x2, y2 = area.split(",") - x1 = int(float(x1)) - y1 = int(float(y1)) - x2 = int(float(x2)) - y2 = int(float(y2)) - areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) - table_bbox = find_table_joints(areas, vmask, hmask) - else: - contours = find_table_contours(vmask, hmask) - table_bbox = find_table_joints(contours, vmask, hmask) - - if self.debug: - self.debug_images = (img, table_bbox) - self.debug_segments = (v_segments, h_segments) - self.debug_tables = [] - - if len(self.mtol) == 1 and self.mtol[0] == 2: - mtolerance = copy.deepcopy(self.mtol) * len(table_bbox) - else: - mtolerance = copy.deepcopy(self.mtol) - - page = {} - tables = {} - table_no = 0 - for k in sorted(table_bbox.keys(), key=lambda x: x[1]): - table_data = {} - cols, rows = zip(*table_bbox[k]) - cols, rows = list(cols), list(rows) - cols.extend([k[0], k[2]]) - rows.extend([k[1], k[3]]) - cols = merge_close_values(sorted(cols), mtol=mtolerance[table_no]) - rows = merge_close_values(sorted(rows, reverse=True), mtol=mtolerance[table_no]) - cols = [(cols[i], cols[i + 1]) - for i in range(0, len(cols) - 1)] - rows = [(rows[i], rows[i + 1]) - for i in range(0, len(rows) - 1)] - table = Table(cols, rows) - if self.debug: - self.debug_tables.append(table) - table.image = img[k[3]:k[1],k[0]:k[2]] - for i in range(len(table.cells)): - for j in range(len(table.cells[i])): - x1 = int(table.cells[i][j].x1) - y1 = int(table.cells[i][j].y1) - x2 = int(table.cells[i][j].x2) - y2 = int(table.cells[i][j].y2) - table.cells[i][j].image = img[y1:y2,x1:x2] - text = self.tool.image_to_string( - Image.fromarray(table.cells[i][j].image), - lang=self.lang, - builder=pyocr.builders.TextBuilder(tesseract_layout=self.layout) - ) - table.cells[i][j].add_text(text) - ar = table.get_list() - ar.reverse() - ar = encode_list(ar) - table_data['data'] = ar - tables['table-{0}'.format(table_no + 1)] = table_data - table_no += 1 - page[os.path.basename(bname)] = tables - - if self.debug: - return None - - return page - - -class OCRStream: - """Stream, but for images. - - Parameters - ---------- - table_area : list - List of strings of the form x1,y1,x2,y2 where - (x1, y1) -> left-top and (x2, y2) -> right-bottom in OpenCV's - coordinate space, denoting table areas to analyze. - (optional, default: None) - - columns : list - List of strings where each string is comma-separated values of - x-coordinates in OpenCV's coordinate space. - (optional, default: None) - - blocksize : int - Size of a pixel neighborhood that is used to calculate a - threshold value for the pixel: 3, 5, 7, and so on. - (optional, default: 15) - - threshold_constant : float - Constant subtracted from the mean or weighted mean - (see the details below). Normally, it is positive but may be - zero or negative as well. - (optional, default: -2) - - dpi : int - Dots per inch. - (optional, default: 300) - - layout : int - Tesseract page segmentation mode. - (optional, default: 7) - - lang : string - Language to be used for OCR. - (optional, default: 'eng') - - line_scale : int - Line scaling factor. - (optional, default: 15) - - char_scale : int - Char scaling factor. - (optional, default: 200) - """ - def __init__(self, table_area=None, columns=None, blocksize=15, - threshold_constant=-2, dpi=300, layout=7, lang="eng", - line_scale=15, char_scale=200, debug=False): - - self.method = 'ocrs' - self.table_area = table_area - self.columns = columns - self.blocksize = blocksize - self.threshold_constant = threshold_constant - self.tool = pyocr.get_available_tools()[0] # fix this - self.dpi = dpi - self.layout = layout - self.lang = lang - self.line_scale = line_scale - self.char_scale = char_scale - self.debug = debug - - def get_tables(self, pdfname): - if self.tool is None: - return None - - bname, __ = os.path.splitext(pdfname) - imagename = ''.join([bname, '.png']) - logger.info('Processing {0}.'.format(os.path.basename(bname))) - - gs_call = [ - "-q", "-sDEVICE=png16m", "-o", imagename, "-r{0}".format(self.dpi), - pdfname - ] - if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): - gs_call.insert(0, "gs") - else: - gs_call.insert(0, "gsc") - subprocess.call(gs_call, stdout=open(os.devnull, 'w'), - stderr=subprocess.STDOUT) - - img, threshold = adaptive_threshold(imagename, blocksize=self.blocksize, - c=self.threshold_constant) - threshold = remove_lines(threshold, line_scale=self.line_scale) - height, width = threshold.shape - if self.debug: - self.debug_images = img - return None - - if self.table_area is not None: - if self.columns is not None: - if len(self.table_area) != len(self.columns): - raise ValueError("{0}: Length of table area and columns" - " should be equal.".format(os.path.basename(bname))) - - table_bbox = {} - for area in self.table_area: - x1, y1, x2, y2 = area.split(",") - x1 = int(float(x1)) - y1 = int(float(y1)) - x2 = int(float(x2)) - y2 = int(float(y2)) - table_bbox[(x1, y1, x2, y2)] = None - else: - table_bbox = {(0, 0, width, height): None} - - page = {} - tables = {} - table_no = 0 - for k in sorted(table_bbox.keys(), key=lambda x: x[1]): - if self.columns is None: - raise NotImplementedError - else: - table_data = {} - table_image = threshold[k[1]:k[3],k[0]:k[2]] - cols = self.columns[table_no].split(',') - cols = [float(c) for c in cols] - cols.insert(0, k[0]) - cols.append(k[2]) - cols = [(cols[i] - k[0], cols[i + 1] - k[0]) for i in range(0, len(cols) - 1)] - y_cuts = find_cuts(table_image, char_scale=self.char_scale) - rows = [(y_cuts[i], y_cuts[i + 1]) for i in range(0, len(y_cuts) - 1)] - table = Table(cols, rows) - for i in range(len(table.cells)): - for j in range(len(table.cells[i])): - x1 = int(table.cells[i][j].x1) - y1 = int(table.cells[i][j].y1) - x2 = int(table.cells[i][j].x2) - y2 = int(table.cells[i][j].y2) - table.cells[i][j].image = table_image[y1:y2,x1:x2] - cell_image = Image.fromarray(table.cells[i][j].image) - text = self.tool.image_to_string( - cell_image, - lang=self.lang, - builder=pyocr.builders.TextBuilder(tesseract_layout=self.layout) - ) - table.cells[i][j].add_text(text) - ar = table.get_list() - ar.reverse() - ar = encode_list(ar) - table_data['data'] = ar - tables['table-{0}'.format(table_no + 1)] = table_data - table_no += 1 - page[os.path.basename(bname)] = tables - - return page \ No newline at end of file diff --git a/tools/camelot b/tools/camelot index 0918fe1..61a687f 100755 --- a/tools/camelot +++ b/tools/camelot @@ -18,7 +18,6 @@ from PyPDF2 import PdfFileReader from camelot.pdf import Pdf from camelot.lattice import Lattice from camelot.stream import Stream -from camelot.ocr import OCRLattice, OCRStream from camelot import utils @@ -54,8 +53,6 @@ options: camelot methods: lattice Looks for lines between data. stream Looks for spaces between data. - ocrl Lattice, but for images. - ocrs Stream, but for images. See 'camelot -h' for more information on a specific method. """ @@ -107,51 +104,6 @@ options: """ -ocrl_doc = """ -Lattice, but for images. - -usage: - camelot ocrl [-t ...] [-m ...] [options] [--] - -options: - -t, --tarea Specific table areas to analyze. - -m, --mtol Tolerance to account for when merging lines - which are very close. [default: 2] - -b, --blocksize See adaptive threshold doc. [default: 15] - -C, --constant See adaptive threshold doc. [default: -2] - -D, --dpi Dots per inch, specify image quality to be used for OCR. - [default: 300] - -g, --layout Tesseract page segmentation mode. [default: 7] - -l, --lang Specify language to be used for OCR. [default: eng] - -s, --scale Scaling factor. Large scaling factor leads to - smaller lines being detected. [default: 15] - -I, --iterations Number of iterations for dilation. [default: 0] - -d, --debug Debug by visualizing pdf geometry. - (contour,line,joint,table) Example: -d table -""" - -ocrs_doc = """ -Stream, but for images. - -usage: - camelot ocrs [-t ...] [-c ...] [options] [--] - -options: - -t, --tarea Specific table areas to analyze. - -c, --columns Comma-separated list of column x-coordinates. - Example: -c 10.1,20.2,30.3 - -b, --blocksize See adaptive threshold doc. [default: 15] - -C, --constant See adaptive threshold doc. [default: -2] - -D, --dpi Dots per inch, specify image quality to be used for OCR. - [default: 300] - -g, --layout Tesseract page segmentation mode. [default: 7] - -l, --lang Specify language to be used for OCR. [default: eng] - -G, --line-scale Line scaling factor. [default: 15] - -S, --char-scale Char scaling factor. [default: 200] - -d, --debug Debug by visualizing image. -""" - - def plot_table_barchart(r, c, p, pno, tno): row_idx = [i + 1 for i, row in enumerate(r)] col_idx = [i + 1 for i, col in enumerate(c)] @@ -376,10 +328,6 @@ if __name__ == '__main__': args.update(docopt(lattice_doc, argv=argv)) elif args[''] == 'stream': args.update(docopt(stream_doc, argv=argv)) - elif args[''] == 'ocrl': - args.update(docopt(ocrl_doc, argv=argv)) - elif args[''] == 'ocrs': - args.update(docopt(ocrs_doc, argv=argv)) filename = args[''] filedir = os.path.dirname(args['']) @@ -551,140 +499,6 @@ if __name__ == '__main__': except Exception as e: logger.exception(e.message, exc_info=True) sys.exit() - elif args[''] == 'ocrl': - try: - kwargs = { - 'table_area': args['--tarea'] if args['--tarea'] else None, - 'mtol': [int(m) for m in args['--mtol']], - 'blocksize': int(args['--blocksize']), - 'threshold_constant': float(args['--constant']), - 'dpi': int(args['--dpi']), - 'layout': int(args['--layout']), - 'lang': args['--lang'], - 'scale': int(args['--scale']), - 'iterations': int(args['--iterations']), - 'debug': args['--debug'] - } - manager = Pdf(OCRLattice(**kwargs), filename, pagenos=p, clean=True, - parallel=args['--parallel']) - data = manager.extract() - - processing_time = time.time() - start_time - logger.info("Finished processing in " + str(processing_time) + " seconds") - - if args['--plot']: - if args['--output']: - pngname = os.path.join(args['--output'], os.path.basename(pngname)) - plot_type = args['--plot'].split(',') - if 'page' in plot_type: - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - plot_table_barchart(table['r_nempty_cells'], - table['c_nempty_cells'], - table['empty_p'], - page_number, - table_number) - - if 'all' in plot_type: - plot_all_barchart(data, pngname) - - if 'rc' in plot_type: - plot_rc_piechart(data, pngname) - - if args['--print-stats']: - print_stats(data, processing_time) - - if args['--save-stats']: - if args['--output']: - scorename = os.path.join(args['--output'], os.path.basename(scorename)) - with open(scorename, 'w') as score_file: - score_file.write('table,nrows,ncols,empty_p,line_p,text_p,score\n') - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - score_file.write('{0},{1},{2},{3},{4},{5},{6}\n'.format( - ''.join([page_number, '_', table_number]), - table['nrows'], - table['ncols'], - table['empty_p'], - table['line_p'], - table['text_p'], - table['score'])) - if args['--debug']: - manager.debug_plot() - except Exception as e: - logger.exception(e.message, exc_info=True) - sys.exit() - elif args[''] == 'ocrs': - try: - kwargs = { - 'table_area': args['--tarea'] if args['--tarea'] else None, - 'columns': args['--columns'] if args['--columns'] else None, - 'blocksize': int(args['--blocksize']), - 'threshold_constant': float(args['--constant']), - 'dpi': int(args['--dpi']), - 'layout': int(args['--layout']), - 'lang': args['--lang'], - 'line_scale': int(args['--line-scale']), - 'char_scale': int(args['--char-scale']), - 'debug': args['--debug'] - } - manager = Pdf(OCRStream(**kwargs), filename, pagenos=p, clean=True, - parallel=args['--parallel']) - data = manager.extract() - - processing_time = time.time() - start_time - logger.info("Finished processing in " + str(processing_time) + " seconds") - - if args['--plot']: - if args['--output']: - pngname = os.path.join(args['--output'], os.path.basename(pngname)) - plot_type = args['--plot'].split(',') - if 'page' in plot_type: - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - plot_table_barchart(table['r_nempty_cells'], - table['c_nempty_cells'], - table['empty_p'], - page_number, - table_number) - - if 'all' in plot_type: - plot_all_barchart(data, pngname) - - if 'rc' in plot_type: - plot_rc_piechart(data, pngname) - - if args['--print-stats']: - print_stats(data, processing_time) - - if args['--save-stats']: - if args['--output']: - scorename = os.path.join(args['--output'], os.path.basename(scorename)) - with open(scorename, 'w') as score_file: - score_file.write('table,nrows,ncols,empty_p,line_p,text_p,score\n') - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - score_file.write('{0},{1},{2},{3},{4},{5},{6}\n'.format( - ''.join([page_number, '_', table_number]), - table['nrows'], - table['ncols'], - table['empty_p'], - table['line_p'], - table['text_p'], - table['score'])) - if args['--debug']: - manager.debug_plot() - except Exception as e: - logger.exception(e.message, exc_info=True) - sys.exit() if args.get('--debug') is not None and args['--debug']: print("See 'camelot -h' for various parameters you can tweak.") From d65ee180e58bf1453b6475f75acb2f491aade351 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 1 Sep 2018 16:26:15 +0530 Subject: [PATCH 02/39] Update README --- README.md | 2 -- requirements.txt | 1 - 2 files changed, 3 deletions(-) diff --git a/README.md b/README.md index 5cb4fc0..f588557 100644 --- a/README.md +++ b/README.md @@ -47,8 +47,6 @@ options: camelot methods: lattice Looks for lines between data. stream Looks for spaces between data. - ocrl Lattice, but for images. - ocrs Stream, but for images. See 'camelot <method> -h' for more information on a specific method. diff --git a/requirements.txt b/requirements.txt index 826e271..61b0ccd 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,6 +4,5 @@ nose pdfminer pyexcel-xlsx Pillow -pyocr PyPDF2 Sphinx From ae64264d3e8218a13ce024b6043811a77829504b Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sun, 2 Sep 2018 19:04:24 +0530 Subject: [PATCH 03/39] Update README and requirements --- README.md | 14 +++++--------- requirements.txt | 16 ++++++++-------- 2 files changed, 13 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index f588557..c002f09 100644 --- a/README.md +++ b/README.md @@ -55,11 +55,7 @@ See 'camelot <method> -h' for more information on a specific method. Currently, camelot works under Python 2.7. -The required dependencies include [numpy](http://www.numpy.org/), [OpenCV](http://opencv.org/) and [ImageMagick](http://www.imagemagick.org/script/index.php). - -### Optional - -You'll need to install [Tesseract](https://github.com/tesseract-ocr/tesseract) if you want to extract tables from image based pdfs. Also, you'll need a tesseract language pack if your pdf isn't in english. +The required dependencies include [numpy](http://www.numpy.org/), [OpenCV](http://opencv.org/) and [ghostscript](https://www.ghostscript.com/). ## Installation @@ -71,26 +67,26 @@ pip install -U pip setuptools ### Installing dependencies -numpy can be install using `pip`. OpenCV and imagemagick can be installed using your system's default package manager. +numpy can be install using `pip`. OpenCV and ghostscript can be installed using your system's default package manager. #### Linux * Arch Linux 
-sudo pacman -S opencv imagemagick
+sudo pacman -S opencv ghostscript
* Ubuntu 
-sudo apt-get install libopencv-dev python-opencv imagemagick
+sudo apt-get install libopencv-dev python-opencv python-tk ghostscript
#### OS X 
-brew install homebrew/science/opencv imagemagick
+brew install homebrew/science/opencv ghostscript
Finally, `cd` into the project directory and install by diff --git a/requirements.txt b/requirements.txt index 61b0ccd..0535f0c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,8 @@ -docopt -matplotlib -nose -pdfminer -pyexcel-xlsx -Pillow -PyPDF2 -Sphinx +docopt==0.6.2 +matplotlib==2.2.3 +nose==1.3.7 +pdfminer==20140328 +pyexcel-xlsx==0.5.6 +Pillow==5.2.0 +PyPDF2==1.26.0 +Sphinx==1.8.0b1 \ No newline at end of file From c689735da2cf6cbf3b0626a1179936ae072d6651 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Tue, 4 Sep 2018 03:49:43 +0530 Subject: [PATCH 04/39] Move cell and table to core --- camelot/__init__.py | 7 +- camelot/__version__.py | 1 + camelot/cell.py | 128 ------------------------------- camelot/cli.py | 0 camelot/{table.py => core.py} | 139 +++++++++++++++++++++++++++++++++- camelot/lattice.py | 2 +- camelot/stream.py | 2 +- 7 files changed, 144 insertions(+), 135 deletions(-) create mode 100644 camelot/__version__.py delete mode 100644 camelot/cell.py create mode 100644 camelot/cli.py rename camelot/{table.py => core.py} (73%) diff --git a/camelot/__init__.py b/camelot/__init__.py index b9b5f18..25dd606 100644 --- a/camelot/__init__.py +++ b/camelot/__init__.py @@ -1,3 +1,6 @@ -__version__ = '1.2.0' +from .core import * +from .__version__ import __version__ -__all__ = ['pdf', 'lattice', 'stream'] + +def read_pdf(filepath, pages='1', grid=True): + pass \ No newline at end of file diff --git a/camelot/__version__.py b/camelot/__version__.py new file mode 100644 index 0000000..b794fd4 --- /dev/null +++ b/camelot/__version__.py @@ -0,0 +1 @@ +__version__ = '0.1.0' diff --git a/camelot/cell.py b/camelot/cell.py deleted file mode 100644 index 8dfe8d3..0000000 --- a/camelot/cell.py +++ /dev/null @@ -1,128 +0,0 @@ -class Cell: - """Cell. - Defines a cell object with coordinates relative to a left-bottom - origin, which is also PDFMiner's coordinate space. - - Parameters - ---------- - x1 : float - x-coordinate of left-bottom point. - - y1 : float - y-coordinate of left-bottom point. - - x2 : float - x-coordinate of right-top point. - - y2 : float - y-coordinate of right-top point. - - Attributes - ---------- - lb : tuple - Tuple representing left-bottom coordinates. - - lt : tuple - Tuple representing left-top coordinates. - - rb : tuple - Tuple representing right-bottom coordinates. - - rt : tuple - Tuple representing right-top coordinates. - - bbox : tuple - Tuple representing the cell's bounding box using the - lower-bottom and right-top coordinates. - - left : bool - Whether or not cell is bounded on the left. - - right : bool - Whether or not cell is bounded on the right. - - top : bool - Whether or not cell is bounded on the top. - - bottom : bool - Whether or not cell is bounded on the bottom. - - text_objects : list - List of text objects assigned to cell. - - text : string - Text assigned to cell. - - spanning_h : bool - Whether or not cell spans/extends horizontally. - - spanning_v : bool - Whether or not cell spans/extends vertically. - """ - - def __init__(self, x1, y1, x2, y2): - - self.x1 = x1 - self.y1 = y1 - self.x2 = x2 - self.y2 = y2 - self.lb = (x1, y1) - self.lt = (x1, y2) - self.rb = (x2, y1) - self.rt = (x2, y2) - self.bbox = (x1, y1, x2, y2) - self.left = False - self.right = False - self.top = False - self.bottom = False - self.text_objects = [] - self.text = '' - self.spanning_h = False - self.spanning_v = False - self.image = None - - def add_text(self, text): - """Adds text to cell. - - Parameters - ---------- - text : string - """ - self.text = ''.join([self.text, text]) - - def get_text(self): - """Returns text assigned to cell. - - Returns - ------- - text : string - """ - return self.text - - def add_object(self, t_object): - """Adds PDFMiner text object to cell. - - Parameters - ---------- - t_object : object - """ - self.text_objects.append(t_object) - - def get_objects(self): - """Returns list of text objects assigned to cell. - - Returns - ------- - text_objects : list - """ - return self.text_objects - - def get_bounded_edges(self): - """Returns the number of edges by which a cell is bounded. - - Returns - ------- - bounded_edges : int - """ - self.bounded_edges = self.top + self.bottom + self.left + self.right - return self.bounded_edges diff --git a/camelot/cli.py b/camelot/cli.py new file mode 100644 index 0000000..e69de29 diff --git a/camelot/table.py b/camelot/core.py similarity index 73% rename from camelot/table.py rename to camelot/core.py index fc1a45e..0934961 100644 --- a/camelot/table.py +++ b/camelot/core.py @@ -1,9 +1,138 @@ import numpy as np - -from .cell import Cell +import pandas as pd -class Table: +class Cell(object): + """Cell. + Defines a cell object with coordinates relative to a left-bottom + origin, which is also PDFMiner's coordinate space. + + Parameters + ---------- + x1 : float + x-coordinate of left-bottom point. + + y1 : float + y-coordinate of left-bottom point. + + x2 : float + x-coordinate of right-top point. + + y2 : float + y-coordinate of right-top point. + + Attributes + ---------- + lb : tuple + Tuple representing left-bottom coordinates. + + lt : tuple + Tuple representing left-top coordinates. + + rb : tuple + Tuple representing right-bottom coordinates. + + rt : tuple + Tuple representing right-top coordinates. + + bbox : tuple + Tuple representing the cell's bounding box using the + lower-bottom and right-top coordinates. + + left : bool + Whether or not cell is bounded on the left. + + right : bool + Whether or not cell is bounded on the right. + + top : bool + Whether or not cell is bounded on the top. + + bottom : bool + Whether or not cell is bounded on the bottom. + + text_objects : list + List of text objects assigned to cell. + + text : string + Text assigned to cell. + + spanning_h : bool + Whether or not cell spans/extends horizontally. + + spanning_v : bool + Whether or not cell spans/extends vertically. + """ + + def __init__(self, x1, y1, x2, y2): + + self.x1 = x1 + self.y1 = y1 + self.x2 = x2 + self.y2 = y2 + self.lb = (x1, y1) + self.lt = (x1, y2) + self.rb = (x2, y1) + self.rt = (x2, y2) + self.bbox = (x1, y1, x2, y2) + self.left = False + self.right = False + self.top = False + self.bottom = False + self.text_objects = [] + self.text = '' + self.spanning_h = False + self.spanning_v = False + self.image = None + + def add_text(self, text): + """Adds text to cell. + + Parameters + ---------- + text : string + """ + self.text = ''.join([self.text, text]) + + def get_text(self): + """Returns text assigned to cell. + + Returns + ------- + text : string + """ + return self.text + + def add_object(self, t_object): + """Adds PDFMiner text object to cell. + + Parameters + ---------- + t_object : object + """ + self.text_objects.append(t_object) + + def get_objects(self): + """Returns list of text objects assigned to cell. + + Returns + ------- + text_objects : list + """ + return self.text_objects + + def get_bounded_edges(self): + """Returns the number of edges by which a cell is bounded. + + Returns + ------- + bounded_edges : int + """ + self.bounded_edges = self.top + self.bottom + self.left + self.right + return self.bounded_edges + + +class Table(object): """Table. Defines a table object with coordinates relative to a left-bottom origin, which is also PDFMiner's coordinate space. @@ -234,3 +363,7 @@ class Table: ar.append([self.cells[r][c].get_text().strip() for c in range(len(self.cols))]) return ar + + +class TableSet(object): + pass \ No newline at end of file diff --git a/camelot/lattice.py b/camelot/lattice.py index 40803f6..2dd471d 100644 --- a/camelot/lattice.py +++ b/camelot/lattice.py @@ -8,9 +8,9 @@ import copy_reg import warnings import subprocess +from .core import Table from .imgproc import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) -from .table import Table from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, merge_close_values, get_table_index, get_score, count_empty, encode_list, get_text_objects, get_page_layout) diff --git a/camelot/stream.py b/camelot/stream.py index e794d6a..ae0ef4a 100644 --- a/camelot/stream.py +++ b/camelot/stream.py @@ -8,7 +8,7 @@ import warnings import numpy as np -from .table import Table +from .core import Table from .utils import (text_in_bbox, get_table_index, get_score, count_empty, encode_list, get_text_objects, get_page_layout) From 0c9e21d8818d8ce90ba3eb5c5c7594e148ea64ee Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Tue, 4 Sep 2018 03:53:30 +0530 Subject: [PATCH 05/39] Update README --- README.md | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index c002f09..7efc6f2 100644 --- a/README.md +++ b/README.md @@ -5,11 +5,22 @@ Camelot is a Python 2.7 library and command-line tool for getting tables out of ## Usage 
-from camelot.pdf import Pdf
-from camelot.lattice import Lattice
-
-manager = Pdf(Lattice(), "/path/to/pdf")
-tables = manager.extract()
+>>> import camelot
+>>> tables = camelot.read_pdf("foo.pdf")
+>>> tables
+<TableSet n=2>
+>>> tables.to_csv(zip=True) # to_json, to_excel, to_html
+>>> tables[0]
+<Table shape=(3,4)>
+>>> tables[0].parsing_report
+{
+    "accuracy": 96,
+    "whitespace": 80,
+    "time_taken": 0.5,
+    "page": 1
+}
+>>> tables[0].to_csv("foo.csv") # to_json, to_excel, to_html
+>>> df = tables[0].to_df()
Camelot comes with a CLI where you can specify page numbers, output format, output directory etc. By default, the output files are placed in the same directory as the PDF. From 5d29f0c21c0af5bd17e31a86507c8a4fa2d1e844 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Tue, 4 Sep 2018 07:02:30 +0530 Subject: [PATCH 06/39] Move Pdf class to core as FileHandler --- camelot/core.py | 222 ++++++++++++++------------------------- camelot/pdf.py | 268 ------------------------------------------------ 2 files changed, 79 insertions(+), 411 deletions(-) delete mode 100644 camelot/pdf.py diff --git a/camelot/core.py b/camelot/core.py index 0934961..91cb1bd 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -1,69 +1,14 @@ +import os +import tempfile + import numpy as np import pandas as pd +from PyPDF2 import PdfFileReader, PdfFileWriter + +from .utils import get_page_layout, get_text_objects, get_rotation class Cell(object): - """Cell. - Defines a cell object with coordinates relative to a left-bottom - origin, which is also PDFMiner's coordinate space. - - Parameters - ---------- - x1 : float - x-coordinate of left-bottom point. - - y1 : float - y-coordinate of left-bottom point. - - x2 : float - x-coordinate of right-top point. - - y2 : float - y-coordinate of right-top point. - - Attributes - ---------- - lb : tuple - Tuple representing left-bottom coordinates. - - lt : tuple - Tuple representing left-top coordinates. - - rb : tuple - Tuple representing right-bottom coordinates. - - rt : tuple - Tuple representing right-top coordinates. - - bbox : tuple - Tuple representing the cell's bounding box using the - lower-bottom and right-top coordinates. - - left : bool - Whether or not cell is bounded on the left. - - right : bool - Whether or not cell is bounded on the right. - - top : bool - Whether or not cell is bounded on the top. - - bottom : bool - Whether or not cell is bounded on the bottom. - - text_objects : list - List of text objects assigned to cell. - - text : string - Text assigned to cell. - - spanning_h : bool - Whether or not cell spans/extends horizontally. - - spanning_v : bool - Whether or not cell spans/extends vertically. - """ - def __init__(self, x1, y1, x2, y2): self.x1 = x1 @@ -86,76 +31,23 @@ class Cell(object): self.image = None def add_text(self, text): - """Adds text to cell. - - Parameters - ---------- - text : string - """ self.text = ''.join([self.text, text]) def get_text(self): - """Returns text assigned to cell. - - Returns - ------- - text : string - """ return self.text def add_object(self, t_object): - """Adds PDFMiner text object to cell. - - Parameters - ---------- - t_object : object - """ self.text_objects.append(t_object) def get_objects(self): - """Returns list of text objects assigned to cell. - - Returns - ------- - text_objects : list - """ return self.text_objects def get_bounded_edges(self): - """Returns the number of edges by which a cell is bounded. - - Returns - ------- - bounded_edges : int - """ self.bounded_edges = self.top + self.bottom + self.left + self.right return self.bounded_edges class Table(object): - """Table. - Defines a table object with coordinates relative to a left-bottom - origin, which is also PDFMiner's coordinate space. - - Parameters - ---------- - cols : list - List of tuples representing column x-coordinates in increasing - order. - - rows : list - List of tuples representing row y-coordinates in decreasing - order. - - Attributes - ---------- - cells : list - List of cell objects with row-major ordering. - - nocont_ : int - Number of lines that did not contribute to setting cell edges. - """ - def __init__(self, cols, rows): self.cols = cols @@ -166,8 +58,6 @@ class Table(object): self.image = None def set_all_edges(self): - """Sets all table edges to True. - """ for r in range(len(self.rows)): for c in range(len(self.cols)): self.cells[r][c].left = True @@ -177,8 +67,6 @@ class Table(object): return self def set_border_edges(self): - """Sets table border edges to True. - """ for r in range(len(self.rows)): self.cells[r][0].left = True self.cells[r][len(self.cols) - 1].right = True @@ -188,19 +76,6 @@ class Table(object): return self def set_edges(self, vertical, horizontal, jtol=2): - """Sets a cell's edges to True depending on whether they - overlap with lines found by imgproc. - - Parameters - ---------- - vertical : list - List of vertical lines detected by imgproc. Coordinates - scaled and translated to the PDFMiner's coordinate space. - - horizontal : list - List of horizontal lines detected by imgproc. Coordinates - scaled and translated to the PDFMiner's coordinate space. - """ for v in vertical: # find closest x coord # iterate over y coords and find closest points @@ -308,10 +183,6 @@ class Table(object): return self def set_spanning(self): - """Sets a cell's spanning_h or spanning_v attribute to True - depending on whether the cell spans/extends horizontally or - vertically. - """ for r in range(len(self.rows)): for c in range(len(self.cols)): bound = self.cells[r][c].get_bounded_edges() @@ -351,13 +222,6 @@ class Table(object): return self def get_list(self): - """Returns a two-dimensional list of text assigned to each - cell. - - Returns - ------- - ar : list - """ ar = [] for r in range(len(self.rows)): ar.append([self.cells[r][c].get_text().strip() @@ -366,4 +230,76 @@ class Table(object): class TableSet(object): - pass \ No newline at end of file + pass + + +class FileHandler(object): + def __init__(self, filename, pages='1'): + self.filename = filename + if not self.filename.endswith('.pdf'): + raise TypeError("File format not supported.") + self.pages = __get_pages(pages) + self.temp = tempfile.mkdtemp() + + @staticmethod + def __get_pages(filename, pages): + p = {} + if pages == '1': + p.append({'start': 1, 'end': 1}) + else: + infile = PdfFileReader(open(filename, 'rb'), strict=False) + if pages == 'all': + p.append({'start': 1, 'end': infile.getNumPages()}) + else: + for r in pages.split(','): + if '-' in r: + a, b = r.split('-') + if b == 'end': + b = infile.getNumPages() + p.append({'start': int(a), 'end': int(b)}) + else: + p.append({'start': int(r), 'end': int(r)}) + return p + + @staticmethod + def __save_page(filename, page, temp): + with open(filename, 'rb') as fileobj: + infile = PdfFileReader(fileobj, strict=False) + fpath = os.path.join(temp, 'page-{0}.pdf'.format(page)) + fname, fext = os.path.splitext(fpath) + p = infile.getPage(page - 1) + outfile = PdfFileWriter() + outfile.addPage(p) + with open(fpath, 'wb') as f: + outfile.write(f) + layout, dim = get_page_layout(fpath) + # fix rotated pdf + lttextlh = get_text_objects(layout, ltype="lh") + lttextlv = get_text_objects(layout, ltype="lv") + ltchar = get_text_objects(layout, ltype="char") + rotation = get_rotation(lttextlh, lttextlv, ltchar) + if rotation != '': + fpath_new = ''.join([fname.replace('page', 'p'), '_rotated', fext]) + os.rename(fpath, fpath_new) + infile = PdfFileReader(open(fpath_new, 'rb'), strict=False) + outfile = PdfFileWriter() + p = infile.getPage(0) + if rotation == 'left': + p.rotateClockwise(90) + elif rotation == 'right': + p.rotateCounterClockwise(90) + outfile.addPage(p) + with open(fpath, 'wb') as f: + outfile.write(f) + + def parse(self): + for p in self.pages: + __save_page(self.filename, p, self.temp) + pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) + for p in self.pagenos] + tables = {} + for p in pages: + table = self.parser.get_tables(p) + if table is not None: + tables.update(table) + return tables \ No newline at end of file diff --git a/camelot/pdf.py b/camelot/pdf.py deleted file mode 100644 index 08fd26c..0000000 --- a/camelot/pdf.py +++ /dev/null @@ -1,268 +0,0 @@ -import os -import shutil -import tempfile -import itertools -import multiprocessing as mp -from functools import partial - -import cv2 -from PyPDF2 import PdfFileReader, PdfFileWriter - -from .utils import get_page_layout, get_text_objects, get_rotation - - -__all__ = ['Pdf'] - - -def _parse_page_numbers(pagenos): - """Converts list of dicts to list of ints. - - Parameters - ---------- - pagenos : list - List of dicts representing page ranges. A dict must have only - two keys named 'start' and 'end' having int as their value. - - Returns - ------- - page_numbers : list - List of int page numbers. - """ - page_numbers = [] - for p in pagenos: - page_numbers.extend(range(p['start'], p['end'] + 1)) - page_numbers = sorted(set(page_numbers)) - return page_numbers - - -def _save_page(temp, pdfname, pageno): - with open(pdfname, 'rb') as pdffile: - infile = PdfFileReader(pdffile, strict=False) - sp_path = os.path.join(temp, 'page-{0}.pdf'.format(pageno)) - sp_name, sp_ext = os.path.splitext(sp_path) - page = infile.getPage(pageno - 1) - outfile = PdfFileWriter() - outfile.addPage(page) - with open(sp_path, 'wb') as f: - outfile.write(f) - layout, dim = get_page_layout(sp_path) - lttextlh = get_text_objects(layout, ltype="lh") - lttextlv = get_text_objects(layout, ltype="lv") - ltchar = get_text_objects(layout, ltype="char") - rotation = get_rotation(lttextlh, lttextlv, ltchar) - if rotation != '': - sp_new_path = ''.join([sp_name.replace('page', 'p'), '_rotated', sp_ext]) - os.rename(sp_path, sp_new_path) - sp_in = PdfFileReader(open(sp_new_path, 'rb'), - strict=False) - sp_out = PdfFileWriter() - sp_page = sp_in.getPage(0) - if rotation == 'left': - sp_page.rotateClockwise(90) - elif rotation == 'right': - sp_page.rotateCounterClockwise(90) - sp_out.addPage(sp_page) - with open(sp_path, 'wb') as pdf_out: - sp_out.write(pdf_out) - - -class Pdf: - """Pdf manager. - Handles all operations like temp directory creation, splitting file - into single page pdfs, running extraction using multiple processes - and removing the temp directory. - - Parameters - ---------- - extractor : object - camelot.stream.Stream or camelot.lattice.Lattice extractor - object. - - pdfname : string - Path to pdf file. - - pagenos : list - List of dicts representing page ranges. A dict must have only - two keys named 'start' and 'end' having int as their value. - (optional, default: [{'start': 1, 'end': 1}]) - - parallel : bool - Whether or not to run using multiple processes. - (optional, default: False) - - clean : bool - Whether or not to remove the temp directory. - (optional, default: False) - """ - - def __init__(self, extractor, pdfname, pagenos=[{'start': 1, 'end': 1}], - parallel=False, clean=False): - - self.extractor = extractor - self.pdfname = pdfname - if not self.pdfname.endswith('.pdf'): - raise TypeError("File format not supported.") - self.pagenos = _parse_page_numbers(pagenos) - self.parallel = parallel - if self.parallel: - self.cpu_count = mp.cpu_count() - self.pool = mp.Pool(processes=self.cpu_count) - self.clean = clean - self.temp = tempfile.mkdtemp() - - def split(self): - """Splits file into single page pdfs. - """ - if self.parallel: - pfunc = partial(_save_page, self.temp, self.pdfname) - self.pool.map(pfunc, self.pagenos) - else: - for p in self.pagenos: - _save_page(self.temp, self.pdfname, p) - - - def extract(self): - """Runs table extraction by calling extractor.get_tables - on all single page pdfs. - """ - self.split() - pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) - for p in self.pagenos] - if self.parallel: - tables = self.pool.map(self.extractor.get_tables, pages) - tables = {k: v for d in tables if d is not None for k, v in d.items()} - else: - tables = {} - if self.extractor.debug: - if self.extractor.method == 'stream': - self.debug = self.extractor.debug - self.debug_text = [] - elif self.extractor.method in ['lattice', 'ocrl']: - self.debug = self.extractor.debug - self.debug_images = [] - self.debug_segments = [] - self.debug_tables = [] - elif self.extractor.method == 'ocrs': - self.debug = self.extractor.debug - self.debug_images = [] - for p in pages: - table = self.extractor.get_tables(p) - if table is not None: - tables.update(table) - if self.extractor.debug: - if self.extractor.method == 'stream': - self.debug_text.append(self.extractor.debug_text) - elif self.extractor.method in ['lattice', 'ocr']: - self.debug_images.append(self.extractor.debug_images) - self.debug_segments.append(self.extractor.debug_segments) - self.debug_tables.append(self.extractor.debug_tables) - elif self.extractor.method == 'ocrs': - self.debug_images.append(self.extractor.debug_images) - if self.clean: - self.remove_tempdir() - return tables - - def remove_tempdir(self): - """Removes temporary directory that was created to save single - page pdfs and their images. - """ - shutil.rmtree(self.temp) - - def debug_plot(self): - """Generates a matplotlib plot based on the selected extractor - debug option. - """ - import matplotlib.pyplot as plt - import matplotlib.patches as patches - - if self.debug is True: - if hasattr(self, 'debug_text'): - for text in self.debug_text: - fig = plt.figure() - ax = fig.add_subplot(111, aspect='equal') - xs, ys = [], [] - for t in text: - xs.extend([t[0], t[1]]) - ys.extend([t[2], t[3]]) - ax.add_patch( - patches.Rectangle( - (t[0], t[1]), - t[2] - t[0], - t[3] - t[1] - ) - ) - ax.set_xlim(min(xs) - 10, max(xs) + 10) - ax.set_ylim(min(ys) - 10, max(ys) + 10) - plt.show() - elif hasattr(self, 'debug_images'): - for img in self.debug_images: - plt.imshow(img) - plt.show() - elif self.debug == 'contour': - try: - for img, table_bbox in self.debug_images: - for t in table_bbox.keys(): - cv2.rectangle(img, (t[0], t[1]), - (t[2], t[3]), (255, 0, 0), 3) - plt.imshow(img) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - elif self.debug == 'joint': - try: - for img, table_bbox in self.debug_images: - x_coord = [] - y_coord = [] - for k in table_bbox.keys(): - for coord in table_bbox[k]: - x_coord.append(coord[0]) - y_coord.append(coord[1]) - max_x, max_y = max(x_coord), max(y_coord) - plt.plot(x_coord, y_coord, 'ro') - plt.axis([0, max_x + 100, max_y + 100, 0]) - plt.imshow(img) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - elif self.debug == 'line': - try: - for v_s, h_s in self.debug_segments: - for v in v_s: - plt.plot([v[0], v[2]], [v[1], v[3]]) - for h in h_s: - plt.plot([h[0], h[2]], [h[1], h[3]]) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - elif self.debug == 'table': - try: - for tables in self.debug_tables: - for table in tables: - for r in range(len(table.rows)): - for c in range(len(table.cols)): - if table.cells[r][c].left: - plt.plot([table.cells[r][c].lb[0], - table.cells[r][c].lt[0]], - [table.cells[r][c].lb[1], - table.cells[r][c].lt[1]]) - if table.cells[r][c].right: - plt.plot([table.cells[r][c].rb[0], - table.cells[r][c].rt[0]], - [table.cells[r][c].rb[1], - table.cells[r][c].rt[1]]) - if table.cells[r][c].top: - plt.plot([table.cells[r][c].lt[0], - table.cells[r][c].rt[0]], - [table.cells[r][c].lt[1], - table.cells[r][c].rt[1]]) - if table.cells[r][c].bottom: - plt.plot([table.cells[r][c].lb[0], - table.cells[r][c].rb[0]], - [table.cells[r][c].lb[1], - table.cells[r][c].rb[1]]) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - else: - raise UserWarning("This method can only be called after" - " debug has been specified.") \ No newline at end of file From e3aabb720feee934a450b330139d1a87a471da06 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Tue, 4 Sep 2018 21:28:37 +0530 Subject: [PATCH 07/39] Add stream and lattice to parsers --- camelot/__init__.py | 5 +- camelot/cli.py | 1 + camelot/core.py | 14 +- camelot/{imgproc.py => image_processing.py} | 0 camelot/io.py | 5 + camelot/lattice.py | 382 -------------------- camelot/{stream.py => parsers.py} | 365 ++++++++++++++++++- 7 files changed, 380 insertions(+), 392 deletions(-) rename camelot/{imgproc.py => image_processing.py} (100%) create mode 100644 camelot/io.py delete mode 100644 camelot/lattice.py rename camelot/{stream.py => parsers.py} (51%) diff --git a/camelot/__init__.py b/camelot/__init__.py index 25dd606..24ff0f1 100644 --- a/camelot/__init__.py +++ b/camelot/__init__.py @@ -1,6 +1,3 @@ -from .core import * from .__version__ import __version__ - -def read_pdf(filepath, pages='1', grid=True): - pass \ No newline at end of file +from .io import * \ No newline at end of file diff --git a/camelot/cli.py b/camelot/cli.py index e69de29..302830e 100644 --- a/camelot/cli.py +++ b/camelot/cli.py @@ -0,0 +1 @@ +import click \ No newline at end of file diff --git a/camelot/core.py b/camelot/core.py index 91cb1bd..2cca37d 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -10,7 +10,6 @@ from .utils import get_page_layout, get_text_objects, get_rotation class Cell(object): def __init__(self, x1, y1, x2, y2): - self.x1 = x1 self.y1 = y1 self.x2 = x2 @@ -30,6 +29,9 @@ class Cell(object): self.spanning_v = False self.image = None + def __repr__(self): + pass + def add_text(self, text): self.text = ''.join([self.text, text]) @@ -49,7 +51,6 @@ class Cell(object): class Table(object): def __init__(self, cols, rows): - self.cols = cols self.rows = rows self.cells = [[Cell(c[0], r[1], c[1], r[0]) @@ -57,6 +58,9 @@ class Table(object): self.nocont_ = 0 self.image = None + def __repr__(self): + pass + def set_all_edges(self): for r in range(len(self.rows)): for c in range(len(self.cols)): @@ -230,7 +234,11 @@ class Table(object): class TableSet(object): - pass + def __init__(self): + pass + + def __repr__(self): + pass class FileHandler(object): diff --git a/camelot/imgproc.py b/camelot/image_processing.py similarity index 100% rename from camelot/imgproc.py rename to camelot/image_processing.py diff --git a/camelot/io.py b/camelot/io.py new file mode 100644 index 0000000..a78cf3a --- /dev/null +++ b/camelot/io.py @@ -0,0 +1,5 @@ +from .core import * + + +def read_pdf(filepath, pages='1', grid=True): + pass \ No newline at end of file diff --git a/camelot/lattice.py b/camelot/lattice.py deleted file mode 100644 index 2dd471d..0000000 --- a/camelot/lattice.py +++ /dev/null @@ -1,382 +0,0 @@ -from __future__ import division -import os -import sys -import copy -import types -import logging -import copy_reg -import warnings -import subprocess - -from .core import Table -from .imgproc import (adaptive_threshold, find_lines, find_table_contours, - find_table_joints) -from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, - merge_close_values, get_table_index, get_score, count_empty, - encode_list, get_text_objects, get_page_layout) - - -__all__ = ['Lattice'] -logger = logging.getLogger('app_logger') - - -def _reduce_method(m): - if m.im_self is None: - return getattr, (m.im_class, m.im_func.func_name) - else: - return getattr, (m.im_self, m.im_func.func_name) -copy_reg.pickle(types.MethodType, _reduce_method) - - -def _reduce_index(t, idx, shift_text): - """Reduces index of a text object if it lies within a spanning - cell. - - Parameters - ---------- - table : object - camelot.table.Table - - idx : list - List of tuples of the form (r_idx, c_idx, text). - - shift_text : list - {'l', 'r', 't', 'b'} - Select one or more from above and pass them as a list to - specify where the text in a spanning cell should flow. - - Returns - ------- - indices : list - List of tuples of the form (idx, text) where idx is the reduced - index of row/column and text is the an lttextline substring. - """ - indices = [] - for r_idx, c_idx, text in idx: - for d in shift_text: - if d == 'l': - if t.cells[r_idx][c_idx].spanning_h: - while not t.cells[r_idx][c_idx].left: - c_idx -= 1 - if d == 'r': - if t.cells[r_idx][c_idx].spanning_h: - while not t.cells[r_idx][c_idx].right: - c_idx += 1 - if d == 't': - if t.cells[r_idx][c_idx].spanning_v: - while not t.cells[r_idx][c_idx].top: - r_idx -= 1 - if d == 'b': - if t.cells[r_idx][c_idx].spanning_v: - while not t.cells[r_idx][c_idx].bottom: - r_idx += 1 - indices.append((r_idx, c_idx, text)) - return indices - - -def _fill_spanning(t, fill=None): - """Fills spanning cells. - - Parameters - ---------- - t : object - camelot.table.Table - - fill : list - {'h', 'v'} - Specify to fill spanning cells in horizontal or vertical - direction. - (optional, default: None) - - Returns - ------- - t : object - camelot.table.Table - """ - for f in fill: - if f == "h": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_h and not t.cells[i][j].left: - t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) - elif f == "v": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_v and not t.cells[i][j].top: - t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) - return t - - -class Lattice: - """Lattice looks for lines in the pdf to form a table. - - If you want to give fill and mtol for each table when specifying - multiple table areas, make sure that the length of fill and mtol - is equal to the length of table_area. Mapping between them is based - on index. - - Parameters - ---------- - table_area : list - List of strings of the form x1,y1,x2,y2 where - (x1, y1) -> left-top and (x2, y2) -> right-bottom in PDFMiner's - coordinate space, denoting table areas to analyze. - (optional, default: None) - - fill : list - List of strings specifying directions to fill spanning cells. - {'h', 'v'} to fill spanning cells in horizontal or vertical - direction. - (optional, default: None) - - mtol : list - List of ints specifying m-tolerance parameters. - (optional, default: [2]) - - jtol : list - List of ints specifying j-tolerance parameters. - (optional, default: [2]) - - blocksize : int - Size of a pixel neighborhood that is used to calculate a - threshold value for the pixel: 3, 5, 7, and so on. - (optional, default: 15) - - threshold_constant : float - Constant subtracted from the mean or weighted mean - (see the details below). Normally, it is positive but may be - zero or negative as well. - (optional, default: -2) - - scale : int - Used to divide the height/width of a pdf to get a structuring - element for image processing. - (optional, default: 15) - - iterations : int - Number of iterations for dilation. - (optional, default: 0) - - invert : bool - Whether or not to invert the image. Useful when pdfs have - tables with lines in background. - (optional, default: False) - - margins : tuple - PDFMiner margins. (char_margin, line_margin, word_margin) - (optional, default: (1.0, 0.5, 0.1)) - - split_text : bool - Whether or not to split a text line if it spans across - different cells. - (optional, default: False) - - flag_size : bool - Whether or not to highlight a substring using - if its size is different from rest of the string, useful for - super and subscripts. - (optional, default: True) - - shift_text : list - {'l', 'r', 't', 'b'} - Select one or more from above and pass them as a list to - specify where the text in a spanning cell should flow. - (optional, default: ['l', 't']) - - debug : string - {'contour', 'line', 'joint', 'table'} - Set to one of the above values to generate a matplotlib plot - of detected contours, lines, joints and the table generated. - (optional, default: None) - """ - def __init__(self, table_area=None, fill=None, mtol=[2], jtol=[2], - blocksize=15, threshold_constant=-2, scale=15, iterations=0, - invert=False, margins=(1.0, 0.5, 0.1), split_text=False, - flag_size=True, shift_text=['l', 't'], debug=None): - - self.method = 'lattice' - self.table_area = table_area - self.fill = fill - self.mtol = mtol - self.jtol = jtol - self.blocksize = blocksize - self.threshold_constant = threshold_constant - self.scale = scale - self.iterations = iterations - self.invert = invert - self.char_margin, self.line_margin, self.word_margin = margins - self.split_text = split_text - self.flag_size = flag_size - self.shift_text = shift_text - self.debug = debug - - def get_tables(self, pdfname): - """Expects a single page pdf as input with rotation corrected. - - Parameters - ---------- - pdfname : string - Path to single page pdf file. - - Returns - ------- - page : dict - """ - layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, - line_margin=self.line_margin, word_margin=self.word_margin) - lttextlh = get_text_objects(layout, ltype="lh") - lttextlv = get_text_objects(layout, ltype="lv") - ltchar = get_text_objects(layout, ltype="char") - width, height = dim - bname, __ = os.path.splitext(pdfname) - logger.info('Processing {0}.'.format(os.path.basename(bname))) - if not ltchar: - warnings.warn("{0}: Page contains no text.".format( - os.path.basename(bname))) - return {os.path.basename(bname): None} - - imagename = ''.join([bname, '.png']) - gs_call = [ - "-q", "-sDEVICE=png16m", "-o", imagename, "-r600", pdfname - ] - if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): - gs_call.insert(0, "gs") - else: - gs_call.insert(0, "gsc") - subprocess.call(gs_call, stdout=open(os.devnull, 'w'), - stderr=subprocess.STDOUT) - - img, threshold = adaptive_threshold(imagename, invert=self.invert, - blocksize=self.blocksize, c=self.threshold_constant) - pdf_x = width - pdf_y = height - img_x = img.shape[1] - img_y = img.shape[0] - sc_x_image = img_x / float(pdf_x) - sc_y_image = img_y / float(pdf_y) - sc_x_pdf = pdf_x / float(img_x) - sc_y_pdf = pdf_y / float(img_y) - factors_image = (sc_x_image, sc_y_image, pdf_y) - factors_pdf = (sc_x_pdf, sc_y_pdf, img_y) - - vmask, v_segments = find_lines(threshold, direction='vertical', - scale=self.scale, iterations=self.iterations) - hmask, h_segments = find_lines(threshold, direction='horizontal', - scale=self.scale, iterations=self.iterations) - - if self.table_area is not None: - areas = [] - for area in self.table_area: - x1, y1, x2, y2 = area.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) - x1, y1, x2, y2 = scale_to_image((x1, y1, x2, y2), factors_image) - areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) - table_bbox = find_table_joints(areas, vmask, hmask) - else: - contours = find_table_contours(vmask, hmask) - table_bbox = find_table_joints(contours, vmask, hmask) - - if len(self.mtol) == 1 and self.mtol[0] == 2: - mtolerance = copy.deepcopy(self.mtol) * len(table_bbox) - else: - mtolerance = copy.deepcopy(self.mtol) - - if len(self.jtol) == 1 and self.jtol[0] == 2: - jtolerance = copy.deepcopy(self.jtol) * len(table_bbox) - else: - jtolerance = copy.deepcopy(self.jtol) - - if self.debug: - self.debug_images = (img, table_bbox) - - table_bbox, v_segments, h_segments = scale_to_pdf(table_bbox, v_segments, - h_segments, factors_pdf) - - if self.debug: - self.debug_segments = (v_segments, h_segments) - self.debug_tables = [] - - page = {} - tables = {} - # sort tables based on y-coord - for table_no, k in enumerate(sorted(table_bbox.keys(), key=lambda x: x[1], reverse=True)): - # select elements which lie within table_bbox - table_data = {} - t_bbox = {} - v_s, h_s = segments_bbox(k, v_segments, h_segments) - t_bbox['horizontal'] = text_in_bbox(k, lttextlh) - t_bbox['vertical'] = text_in_bbox(k, lttextlv) - char_bbox = text_in_bbox(k, ltchar) - table_data['text_p'] = 100 * (1 - (len(char_bbox) / len(ltchar))) - for direction in t_bbox: - t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) - cols, rows = zip(*table_bbox[k]) - cols, rows = list(cols), list(rows) - cols.extend([k[0], k[2]]) - rows.extend([k[1], k[3]]) - # sort horizontal and vertical segments - cols = merge_close_values(sorted(cols), mtol=mtolerance[table_no]) - rows = merge_close_values( - sorted(rows, reverse=True), mtol=mtolerance[table_no]) - # make grid using x and y coord of shortlisted rows and cols - cols = [(cols[i], cols[i + 1]) - for i in range(0, len(cols) - 1)] - rows = [(rows[i], rows[i + 1]) - for i in range(0, len(rows) - 1)] - - table = Table(cols, rows) - # set table edges to True using ver+hor lines - table = table.set_edges(v_s, h_s, jtol=jtolerance[table_no]) - nouse = table.nocont_ / (len(v_s) + len(h_s)) - table_data['line_p'] = 100 * (1 - nouse) - # set spanning cells to True - table = table.set_spanning() - # set table border edges to True - table = table.set_border_edges() - - if self.debug: - self.debug_tables.append(table) - - assignment_errors = [] - table_data['split_text'] = [] - table_data['superscript'] = [] - for direction in ['vertical', 'horizontal']: - for t in t_bbox[direction]: - indices, error = get_table_index( - table, t, direction, split_text=self.split_text, - flag_size=self.flag_size) - if indices[:2] != (-1, -1): - assignment_errors.append(error) - indices = _reduce_index(table, indices, shift_text=self.shift_text) - if len(indices) > 1: - table_data['split_text'].append(indices) - for r_idx, c_idx, text in indices: - if all(s in text for s in ['', '']): - table_data['superscript'].append((r_idx, c_idx, text)) - table.cells[r_idx][c_idx].add_text(text) - score = get_score([[100, assignment_errors]]) - table_data['score'] = score - - if self.fill is not None: - table = _fill_spanning(table, fill=self.fill) - ar = table.get_list() - ar = encode_list(ar) - table_data['data'] = ar - empty_p, r_nempty_cells, c_nempty_cells = count_empty(ar) - table_data['empty_p'] = empty_p - table_data['r_nempty_cells'] = r_nempty_cells - table_data['c_nempty_cells'] = c_nempty_cells - table_data['nrows'] = len(ar) - table_data['ncols'] = len(ar[0]) - tables['table-{0}'.format(table_no + 1)] = table_data - page[os.path.basename(bname)] = tables - - if self.debug: - return None - - return page \ No newline at end of file diff --git a/camelot/stream.py b/camelot/parsers.py similarity index 51% rename from camelot/stream.py rename to camelot/parsers.py index ae0ef4a..f47f51a 100644 --- a/camelot/stream.py +++ b/camelot/parsers.py @@ -1,19 +1,24 @@ from __future__ import division import os +import sys import copy import types import logging import copy_reg import warnings +import subprocess import numpy as np -from .core import Table -from .utils import (text_in_bbox, get_table_index, get_score, count_empty, +from .core import TableSet +from .image_processing import (adaptive_threshold, find_lines, find_table_contours, + find_table_joints) +from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, + merge_close_values, get_table_index, get_score, count_empty, encode_list, get_text_objects, get_page_layout) -__all__ = ['Stream'] +__all__ = ['Stream', 'Lattice'] logger = logging.getLogger('app_logger') @@ -425,4 +430,358 @@ class Stream: tables['table-{0}'.format(table_no + 1)] = table_data page[os.path.basename(bname)] = tables + return page + + +def _reduce_index(t, idx, shift_text): + """Reduces index of a text object if it lies within a spanning + cell. + + Parameters + ---------- + table : object + camelot.table.Table + + idx : list + List of tuples of the form (r_idx, c_idx, text). + + shift_text : list + {'l', 'r', 't', 'b'} + Select one or more from above and pass them as a list to + specify where the text in a spanning cell should flow. + + Returns + ------- + indices : list + List of tuples of the form (idx, text) where idx is the reduced + index of row/column and text is the an lttextline substring. + """ + indices = [] + for r_idx, c_idx, text in idx: + for d in shift_text: + if d == 'l': + if t.cells[r_idx][c_idx].spanning_h: + while not t.cells[r_idx][c_idx].left: + c_idx -= 1 + if d == 'r': + if t.cells[r_idx][c_idx].spanning_h: + while not t.cells[r_idx][c_idx].right: + c_idx += 1 + if d == 't': + if t.cells[r_idx][c_idx].spanning_v: + while not t.cells[r_idx][c_idx].top: + r_idx -= 1 + if d == 'b': + if t.cells[r_idx][c_idx].spanning_v: + while not t.cells[r_idx][c_idx].bottom: + r_idx += 1 + indices.append((r_idx, c_idx, text)) + return indices + + +def _fill_spanning(t, fill=None): + """Fills spanning cells. + + Parameters + ---------- + t : object + camelot.table.Table + + fill : list + {'h', 'v'} + Specify to fill spanning cells in horizontal or vertical + direction. + (optional, default: None) + + Returns + ------- + t : object + camelot.table.Table + """ + for f in fill: + if f == "h": + for i in range(len(t.cells)): + for j in range(len(t.cells[i])): + if t.cells[i][j].get_text().strip() == '': + if t.cells[i][j].spanning_h and not t.cells[i][j].left: + t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) + elif f == "v": + for i in range(len(t.cells)): + for j in range(len(t.cells[i])): + if t.cells[i][j].get_text().strip() == '': + if t.cells[i][j].spanning_v and not t.cells[i][j].top: + t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) + return t + + +class Lattice: + """Lattice looks for lines in the pdf to form a table. + + If you want to give fill and mtol for each table when specifying + multiple table areas, make sure that the length of fill and mtol + is equal to the length of table_area. Mapping between them is based + on index. + + Parameters + ---------- + table_area : list + List of strings of the form x1,y1,x2,y2 where + (x1, y1) -> left-top and (x2, y2) -> right-bottom in PDFMiner's + coordinate space, denoting table areas to analyze. + (optional, default: None) + + fill : list + List of strings specifying directions to fill spanning cells. + {'h', 'v'} to fill spanning cells in horizontal or vertical + direction. + (optional, default: None) + + mtol : list + List of ints specifying m-tolerance parameters. + (optional, default: [2]) + + jtol : list + List of ints specifying j-tolerance parameters. + (optional, default: [2]) + + blocksize : int + Size of a pixel neighborhood that is used to calculate a + threshold value for the pixel: 3, 5, 7, and so on. + (optional, default: 15) + + threshold_constant : float + Constant subtracted from the mean or weighted mean + (see the details below). Normally, it is positive but may be + zero or negative as well. + (optional, default: -2) + + scale : int + Used to divide the height/width of a pdf to get a structuring + element for image processing. + (optional, default: 15) + + iterations : int + Number of iterations for dilation. + (optional, default: 0) + + invert : bool + Whether or not to invert the image. Useful when pdfs have + tables with lines in background. + (optional, default: False) + + margins : tuple + PDFMiner margins. (char_margin, line_margin, word_margin) + (optional, default: (1.0, 0.5, 0.1)) + + split_text : bool + Whether or not to split a text line if it spans across + different cells. + (optional, default: False) + + flag_size : bool + Whether or not to highlight a substring using + if its size is different from rest of the string, useful for + super and subscripts. + (optional, default: True) + + shift_text : list + {'l', 'r', 't', 'b'} + Select one or more from above and pass them as a list to + specify where the text in a spanning cell should flow. + (optional, default: ['l', 't']) + + debug : string + {'contour', 'line', 'joint', 'table'} + Set to one of the above values to generate a matplotlib plot + of detected contours, lines, joints and the table generated. + (optional, default: None) + """ + def __init__(self, table_area=None, fill=None, mtol=[2], jtol=[2], + blocksize=15, threshold_constant=-2, scale=15, iterations=0, + invert=False, margins=(1.0, 0.5, 0.1), split_text=False, + flag_size=True, shift_text=['l', 't'], debug=None): + + self.method = 'lattice' + self.table_area = table_area + self.fill = fill + self.mtol = mtol + self.jtol = jtol + self.blocksize = blocksize + self.threshold_constant = threshold_constant + self.scale = scale + self.iterations = iterations + self.invert = invert + self.char_margin, self.line_margin, self.word_margin = margins + self.split_text = split_text + self.flag_size = flag_size + self.shift_text = shift_text + self.debug = debug + + def get_tables(self, pdfname): + """Expects a single page pdf as input with rotation corrected. + + Parameters + ---------- + pdfname : string + Path to single page pdf file. + + Returns + ------- + page : dict + """ + layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, + line_margin=self.line_margin, word_margin=self.word_margin) + lttextlh = get_text_objects(layout, ltype="lh") + lttextlv = get_text_objects(layout, ltype="lv") + ltchar = get_text_objects(layout, ltype="char") + width, height = dim + bname, __ = os.path.splitext(pdfname) + logger.info('Processing {0}.'.format(os.path.basename(bname))) + if not ltchar: + warnings.warn("{0}: Page contains no text.".format( + os.path.basename(bname))) + return {os.path.basename(bname): None} + + imagename = ''.join([bname, '.png']) + gs_call = [ + "-q", "-sDEVICE=png16m", "-o", imagename, "-r600", pdfname + ] + if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): + gs_call.insert(0, "gs") + else: + gs_call.insert(0, "gsc") + subprocess.call(gs_call, stdout=open(os.devnull, 'w'), + stderr=subprocess.STDOUT) + + img, threshold = adaptive_threshold(imagename, invert=self.invert, + blocksize=self.blocksize, c=self.threshold_constant) + pdf_x = width + pdf_y = height + img_x = img.shape[1] + img_y = img.shape[0] + sc_x_image = img_x / float(pdf_x) + sc_y_image = img_y / float(pdf_y) + sc_x_pdf = pdf_x / float(img_x) + sc_y_pdf = pdf_y / float(img_y) + factors_image = (sc_x_image, sc_y_image, pdf_y) + factors_pdf = (sc_x_pdf, sc_y_pdf, img_y) + + vmask, v_segments = find_lines(threshold, direction='vertical', + scale=self.scale, iterations=self.iterations) + hmask, h_segments = find_lines(threshold, direction='horizontal', + scale=self.scale, iterations=self.iterations) + + if self.table_area is not None: + areas = [] + for area in self.table_area: + x1, y1, x2, y2 = area.split(",") + x1 = float(x1) + y1 = float(y1) + x2 = float(x2) + y2 = float(y2) + x1, y1, x2, y2 = scale_to_image((x1, y1, x2, y2), factors_image) + areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) + table_bbox = find_table_joints(areas, vmask, hmask) + else: + contours = find_table_contours(vmask, hmask) + table_bbox = find_table_joints(contours, vmask, hmask) + + if len(self.mtol) == 1 and self.mtol[0] == 2: + mtolerance = copy.deepcopy(self.mtol) * len(table_bbox) + else: + mtolerance = copy.deepcopy(self.mtol) + + if len(self.jtol) == 1 and self.jtol[0] == 2: + jtolerance = copy.deepcopy(self.jtol) * len(table_bbox) + else: + jtolerance = copy.deepcopy(self.jtol) + + if self.debug: + self.debug_images = (img, table_bbox) + + table_bbox, v_segments, h_segments = scale_to_pdf(table_bbox, v_segments, + h_segments, factors_pdf) + + if self.debug: + self.debug_segments = (v_segments, h_segments) + self.debug_tables = [] + + page = {} + tables = {} + # sort tables based on y-coord + for table_no, k in enumerate(sorted(table_bbox.keys(), key=lambda x: x[1], reverse=True)): + # select elements which lie within table_bbox + table_data = {} + t_bbox = {} + v_s, h_s = segments_bbox(k, v_segments, h_segments) + t_bbox['horizontal'] = text_in_bbox(k, lttextlh) + t_bbox['vertical'] = text_in_bbox(k, lttextlv) + char_bbox = text_in_bbox(k, ltchar) + table_data['text_p'] = 100 * (1 - (len(char_bbox) / len(ltchar))) + for direction in t_bbox: + t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) + cols, rows = zip(*table_bbox[k]) + cols, rows = list(cols), list(rows) + cols.extend([k[0], k[2]]) + rows.extend([k[1], k[3]]) + # sort horizontal and vertical segments + cols = merge_close_values(sorted(cols), mtol=mtolerance[table_no]) + rows = merge_close_values( + sorted(rows, reverse=True), mtol=mtolerance[table_no]) + # make grid using x and y coord of shortlisted rows and cols + cols = [(cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1)] + rows = [(rows[i], rows[i + 1]) + for i in range(0, len(rows) - 1)] + + table = Table(cols, rows) + # set table edges to True using ver+hor lines + table = table.set_edges(v_s, h_s, jtol=jtolerance[table_no]) + nouse = table.nocont_ / (len(v_s) + len(h_s)) + table_data['line_p'] = 100 * (1 - nouse) + # set spanning cells to True + table = table.set_spanning() + # set table border edges to True + table = table.set_border_edges() + + if self.debug: + self.debug_tables.append(table) + + assignment_errors = [] + table_data['split_text'] = [] + table_data['superscript'] = [] + for direction in ['vertical', 'horizontal']: + for t in t_bbox[direction]: + indices, error = get_table_index( + table, t, direction, split_text=self.split_text, + flag_size=self.flag_size) + if indices[:2] != (-1, -1): + assignment_errors.append(error) + indices = _reduce_index(table, indices, shift_text=self.shift_text) + if len(indices) > 1: + table_data['split_text'].append(indices) + for r_idx, c_idx, text in indices: + if all(s in text for s in ['', '']): + table_data['superscript'].append((r_idx, c_idx, text)) + table.cells[r_idx][c_idx].add_text(text) + score = get_score([[100, assignment_errors]]) + table_data['score'] = score + + if self.fill is not None: + table = _fill_spanning(table, fill=self.fill) + ar = table.get_list() + ar = encode_list(ar) + table_data['data'] = ar + empty_p, r_nempty_cells, c_nempty_cells = count_empty(ar) + table_data['empty_p'] = empty_p + table_data['r_nempty_cells'] = r_nempty_cells + table_data['c_nempty_cells'] = c_nempty_cells + table_data['nrows'] = len(ar) + table_data['ncols'] = len(ar[0]) + tables['table-{0}'.format(table_no + 1)] = table_data + page[os.path.basename(bname)] = tables + + if self.debug: + return None + return page \ No newline at end of file From 941994f0bfb90dfa6c8bffb267bd4297f267b14e Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Tue, 4 Sep 2018 23:34:49 +0530 Subject: [PATCH 08/39] Make present code work with new API --- camelot/__init__.py | 2 +- camelot/core.py | 80 +------------------------------------------ camelot/handlers.py | 83 +++++++++++++++++++++++++++++++++++++++++++++ camelot/io.py | 8 +++-- camelot/parsers.py | 2 +- 5 files changed, 91 insertions(+), 84 deletions(-) create mode 100644 camelot/handlers.py diff --git a/camelot/__init__.py b/camelot/__init__.py index 24ff0f1..b762cea 100644 --- a/camelot/__init__.py +++ b/camelot/__init__.py @@ -1,3 +1,3 @@ from .__version__ import __version__ -from .io import * \ No newline at end of file +from .io import read_pdf \ No newline at end of file diff --git a/camelot/core.py b/camelot/core.py index 2cca37d..0b7a21b 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -1,11 +1,5 @@ -import os -import tempfile - import numpy as np import pandas as pd -from PyPDF2 import PdfFileReader, PdfFileWriter - -from .utils import get_page_layout, get_text_objects, get_rotation class Cell(object): @@ -238,76 +232,4 @@ class TableSet(object): pass def __repr__(self): - pass - - -class FileHandler(object): - def __init__(self, filename, pages='1'): - self.filename = filename - if not self.filename.endswith('.pdf'): - raise TypeError("File format not supported.") - self.pages = __get_pages(pages) - self.temp = tempfile.mkdtemp() - - @staticmethod - def __get_pages(filename, pages): - p = {} - if pages == '1': - p.append({'start': 1, 'end': 1}) - else: - infile = PdfFileReader(open(filename, 'rb'), strict=False) - if pages == 'all': - p.append({'start': 1, 'end': infile.getNumPages()}) - else: - for r in pages.split(','): - if '-' in r: - a, b = r.split('-') - if b == 'end': - b = infile.getNumPages() - p.append({'start': int(a), 'end': int(b)}) - else: - p.append({'start': int(r), 'end': int(r)}) - return p - - @staticmethod - def __save_page(filename, page, temp): - with open(filename, 'rb') as fileobj: - infile = PdfFileReader(fileobj, strict=False) - fpath = os.path.join(temp, 'page-{0}.pdf'.format(page)) - fname, fext = os.path.splitext(fpath) - p = infile.getPage(page - 1) - outfile = PdfFileWriter() - outfile.addPage(p) - with open(fpath, 'wb') as f: - outfile.write(f) - layout, dim = get_page_layout(fpath) - # fix rotated pdf - lttextlh = get_text_objects(layout, ltype="lh") - lttextlv = get_text_objects(layout, ltype="lv") - ltchar = get_text_objects(layout, ltype="char") - rotation = get_rotation(lttextlh, lttextlv, ltchar) - if rotation != '': - fpath_new = ''.join([fname.replace('page', 'p'), '_rotated', fext]) - os.rename(fpath, fpath_new) - infile = PdfFileReader(open(fpath_new, 'rb'), strict=False) - outfile = PdfFileWriter() - p = infile.getPage(0) - if rotation == 'left': - p.rotateClockwise(90) - elif rotation == 'right': - p.rotateCounterClockwise(90) - outfile.addPage(p) - with open(fpath, 'wb') as f: - outfile.write(f) - - def parse(self): - for p in self.pages: - __save_page(self.filename, p, self.temp) - pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) - for p in self.pagenos] - tables = {} - for p in pages: - table = self.parser.get_tables(p) - if table is not None: - tables.update(table) - return tables \ No newline at end of file + pass \ No newline at end of file diff --git a/camelot/handlers.py b/camelot/handlers.py new file mode 100644 index 0000000..83fe4ae --- /dev/null +++ b/camelot/handlers.py @@ -0,0 +1,83 @@ +import os +import tempfile + +from PyPDF2 import PdfFileReader, PdfFileWriter + +from .parsers import Stream, Lattice +from .utils import get_page_layout, get_text_objects, get_rotation + + +class PDFHandler(object): + def __init__(self, filename, pages='1'): + self.filename = filename + if not self.filename.endswith('.pdf'): + raise TypeError("File format not supported.") + self.pages = self.__get_pages(self.filename, pages) + self.temp = tempfile.mkdtemp() + + def __get_pages(self, filename, pages): + # refactor + page_numbers = [] + if pages == '1': + page_numbers.append({'start': 1, 'end': 1}) + else: + infile = PdfFileReader(open(filename, 'rb'), strict=False) + if pages == 'all': + page_numbers.append({'start': 1, 'end': infile.getNumPages()}) + else: + for r in pages.split(','): + if '-' in r: + a, b = r.split('-') + if b == 'end': + b = infile.getNumPages() + page_numbers.append({'start': int(a), 'end': int(b)}) + else: + page_numbers.append({'start': int(r), 'end': int(r)}) + P = [] + for p in page_numbers: + P.extend(range(p['start'], p['end'] + 1)) + return sorted(set(P)) + + def __save_page(self, filename, page, temp): + # refactor + with open(filename, 'rb') as fileobj: + infile = PdfFileReader(fileobj, strict=False) + fpath = os.path.join(temp, 'page-{0}.pdf'.format(page)) + fname, fext = os.path.splitext(fpath) + p = infile.getPage(page - 1) + outfile = PdfFileWriter() + outfile.addPage(p) + with open(fpath, 'wb') as f: + outfile.write(f) + layout, dim = get_page_layout(fpath) + # fix rotated pdf + lttextlh = get_text_objects(layout, ltype="lh") + lttextlv = get_text_objects(layout, ltype="lv") + ltchar = get_text_objects(layout, ltype="char") + rotation = get_rotation(lttextlh, lttextlv, ltchar) + if rotation != '': + fpath_new = ''.join([fname.replace('page', 'p'), '_rotated', fext]) + os.rename(fpath, fpath_new) + infile = PdfFileReader(open(fpath_new, 'rb'), strict=False) + outfile = PdfFileWriter() + p = infile.getPage(0) + if rotation == 'left': + p.rotateClockwise(90) + elif rotation == 'right': + p.rotateCounterClockwise(90) + outfile.addPage(p) + with open(fpath, 'wb') as f: + outfile.write(f) + + def parse(self, mesh=False, **kwargs): + for p in self.pages: + self.__save_page(self.filename, p, self.temp) + pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) + for p in self.pages] + tables = {} + parser = Stream(**kwargs) if not mesh else Lattice(**kwargs) + for p in pages: + table = parser.get_tables(p) + if table is not None: + tables.update(table) + return tables \ No newline at end of file diff --git a/camelot/io.py b/camelot/io.py index a78cf3a..fcae040 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -1,5 +1,7 @@ -from .core import * +from .handlers import PDFHandler -def read_pdf(filepath, pages='1', grid=True): - pass \ No newline at end of file +def read_pdf(filepath, pages='1', mesh=False, **kwargs): + # explicit type conversion + p = PDFHandler(filepath, pages) + return p.parse(mesh=mesh, **kwargs) \ No newline at end of file diff --git a/camelot/parsers.py b/camelot/parsers.py index f47f51a..c175fee 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -10,7 +10,7 @@ import subprocess import numpy as np -from .core import TableSet +from .core import Table from .image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, From b9d77cb983e8d836ea9b9c42aa4e607e37722d84 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Wed, 5 Sep 2018 15:18:31 +0530 Subject: [PATCH 09/39] Decouple debug geometry from tables --- README.md | 4 +- camelot/__init__.py | 3 +- camelot/core.py | 70 +++++- camelot/handlers.py | 11 +- camelot/io.py | 3 +- camelot/parsers.py | 580 ++++++++++++++++++++++---------------------- camelot/plot.py | 98 ++++++++ 7 files changed, 463 insertions(+), 306 deletions(-) create mode 100644 camelot/plot.py diff --git a/README.md b/README.md index 7efc6f2..4a5227f 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Camelot is a Python 2.7 library and command-line tool for getting tables out of >>> import camelot >>> tables = camelot.read_pdf("foo.pdf") >>> tables -<TableSet n=2> +<TableList n=2> >>> tables.to_csv(zip=True) # to_json, to_excel, to_html >>> tables[0] <Table shape=(3,4)> @@ -19,8 +19,8 @@ Camelot is a Python 2.7 library and command-line tool for getting tables out of "time_taken": 0.5, "page": 1 } +>>> df = tables[0].df >>> tables[0].to_csv("foo.csv") # to_json, to_excel, to_html ->>> df = tables[0].to_df() Camelot comes with a CLI where you can specify page numbers, output format, output directory etc. By default, the output files are placed in the same directory as the PDF. diff --git a/camelot/__init__.py b/camelot/__init__.py index b762cea..9762184 100644 --- a/camelot/__init__.py +++ b/camelot/__init__.py @@ -1,3 +1,4 @@ from .__version__ import __version__ -from .io import read_pdf \ No newline at end of file +from .io import read_pdf +from .plot import plot_geometry \ No newline at end of file diff --git a/camelot/core.py b/camelot/core.py index 0b7a21b..ec74eb3 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -21,7 +21,6 @@ class Cell(object): self.text = '' self.spanning_h = False self.spanning_v = False - self.image = None def __repr__(self): pass @@ -49,8 +48,6 @@ class Table(object): self.rows = rows self.cells = [[Cell(c[0], r[1], c[1], r[0]) for c in cols] for r in rows] - self.nocont_ = 0 - self.image = None def __repr__(self): pass @@ -127,7 +124,7 @@ class Table(object): J += 1 for h in horizontal: - # find closest y coord + # find closest y coord # iterate over x coords and find closest points i = [i for i, t in enumerate(self.rows) if np.isclose(h[1], t[0], atol=jtol)] @@ -227,9 +224,66 @@ class Table(object): return ar -class TableSet(object): - def __init__(self): - pass +class TableList(list): + def __init__(self, tables): + self._tables = tables def __repr__(self): - pass \ No newline at end of file + return '<{} tables={}>'.format( + self.__class__.__name__, len(self._tables)) + + +class Geometry(object): + def __init__(self): + self._text = [] + self._images = [] + self._segments = [] + self._tables = [] + + @property + def text(self): + return self._text + + @text.setter + def text(self, t): + self._text = t + + @property + def images(self): + return self._images + + @images.setter + def images(self, i): + self._images = i + + @property + def segments(self): + return self._segments + + @segments.setter + def segments(self, s): + self._segments = s + + @property + def tables(self): + return self._tables + + @tables.setter + def tables(self, tb): + self._tables = tb + + +class GeometryList(object): + def __init__(self, geometry): + self._text = [g.text for g in geometry] + self._images = [g.images for g in geometry] + self._segments = [g.segments for g in geometry] + self._tables = [g.tables for g in geometry] + + def __repr__(self): + return '<{} text={} images={} segments={} tables={}>'.format( + self.__class__.__name__, + len(self._text), + len(self._images), + len(self._segments), + len(self._tables)) \ No newline at end of file diff --git a/camelot/handlers.py b/camelot/handlers.py index 83fe4ae..35f14f4 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -74,10 +74,11 @@ class PDFHandler(object): self.__save_page(self.filename, p, self.temp) pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) for p in self.pages] - tables = {} + tables = [] + geometry = [] parser = Stream(**kwargs) if not mesh else Lattice(**kwargs) for p in pages: - table = parser.get_tables(p) - if table is not None: - tables.update(table) - return tables \ No newline at end of file + t, g = parser.extract_tables(p) + tables.extend(t) + geometry.extend(g) + return TableList(tables), GeometryList(geometry) \ No newline at end of file diff --git a/camelot/io.py b/camelot/io.py index fcae040..c2b319b 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -4,4 +4,5 @@ from .handlers import PDFHandler def read_pdf(filepath, pages='1', mesh=False, **kwargs): # explicit type conversion p = PDFHandler(filepath, pages) - return p.parse(mesh=mesh, **kwargs) \ No newline at end of file + tables, __ = p.parse(mesh=mesh, **kwargs) + return tables \ No newline at end of file diff --git a/camelot/parsers.py b/camelot/parsers.py index c175fee..205743c 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -10,7 +10,7 @@ import subprocess import numpy as np -from .core import Table +from .core import Table, Geometry from .image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, @@ -30,192 +30,6 @@ def _reduce_method(m): copy_reg.pickle(types.MethodType, _reduce_method) -def _text_bbox(t_bbox): - """Returns bounding box for the text present on a page. - - Parameters - ---------- - t_bbox : dict - Dict with two keys 'horizontal' and 'vertical' with lists of - LTTextLineHorizontals and LTTextLineVerticals respectively. - - Returns - ------- - text_bbox : tuple - Tuple of the form (x0, y0, x1, y1) in PDFMiner's coordinate - space. - """ - xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) - ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]]) - xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]]) - ymax = max([t.y1 for direction in t_bbox for t in t_bbox[direction]]) - text_bbox = (xmin, ymin, xmax, ymax) - return text_bbox - - -def _group_rows(text, ytol=2): - """Groups PDFMiner text objects into rows using their - y-coordinates taking into account some tolerance ytol. - - Parameters - ---------- - text : list - List of PDFMiner text objects. - - ytol : int - Tolerance parameter. - (optional, default: 2) - - Returns - ------- - rows : list - Two-dimensional list of text objects grouped into rows. - """ - row_y = 0 - rows = [] - temp = [] - for t in text: - # is checking for upright necessary? - # if t.get_text().strip() and all([obj.upright for obj in t._objs if - # type(obj) is LTChar]): - if t.get_text().strip(): - if not np.isclose(row_y, t.y0, atol=ytol): - rows.append(sorted(temp, key=lambda t: t.x0)) - temp = [] - row_y = t.y0 - temp.append(t) - rows.append(sorted(temp, key=lambda t: t.x0)) - __ = rows.pop(0) # hacky - return rows - - -def _merge_columns(l, mtol=0): - """Merges column boundaries if they overlap or lie within some - tolerance mtol. - - Parameters - ---------- - l : list - List of column coordinate tuples. - - mtol : int - TODO - (optional, default: 0) - - Returns - ------- - merged : list - List of merged column coordinate tuples. - """ - merged = [] - for higher in l: - if not merged: - merged.append(higher) - else: - lower = merged[-1] - if mtol >= 0: - if (higher[0] <= lower[1] or - np.isclose(higher[0], lower[1], atol=mtol)): - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - elif mtol < 0: - if higher[0] <= lower[1]: - if np.isclose(higher[0], lower[1], atol=abs(mtol)): - merged.append(higher) - else: - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - return merged - - -def _join_rows(rows_grouped, text_y_max, text_y_min): - """Makes row coordinates continuous. - - Parameters - ---------- - rows_grouped : list - Two-dimensional list of text objects grouped into rows. - - text_y_max : int - - text_y_min : int - - Returns - ------- - rows : list - List of continuous row coordinate tuples. - """ - row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) - if len(r) > 0 else 0 for r in rows_grouped] - rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] - rows.insert(0, text_y_max) - rows.append(text_y_min) - rows = [(rows[i], rows[i + 1]) - for i in range(0, len(rows) - 1)] - return rows - - -def _join_columns(cols, text_x_min, text_x_max): - """Makes column coordinates continuous. - - Parameters - ---------- - cols : list - List of column coordinate tuples. - - text_x_min : int - - text_y_max : int - - Returns - ------- - cols : list - Updated list of column coordinate tuples. - """ - cols = sorted(cols) - cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) - for i in range(0, len(cols) - 1)] - return cols - - -def _add_columns(cols, text, ytol): - """Adds columns to existing list by taking into account - the text that lies outside the current column coordinates. - - Parameters - ---------- - cols : list - List of column coordinate tuples. - - text : list - List of PDFMiner text objects. - - ytol : int - Tolerance parameter. - - Returns - ------- - cols : list - Updated list of column coordinate tuples. - """ - if text: - text = _group_rows(text, ytol=ytol) - elements = [len(r) for r in text] - new_cols = [(t.x0, t.x1) - for r in text if len(r) == max(elements) for t in r] - cols.extend(_merge_columns(sorted(new_cols))) - return cols - - class Stream: """Stream looks for spaces between text elements to form a table. @@ -283,7 +97,193 @@ class Stream: self.flag_size = flag_size self.debug = debug - def get_tables(self, pdfname): + @staticmethod + def _text_bbox(t_bbox): + """Returns bounding box for the text present on a page. + + Parameters + ---------- + t_bbox : dict + Dict with two keys 'horizontal' and 'vertical' with lists of + LTTextLineHorizontals and LTTextLineVerticals respectively. + + Returns + ------- + text_bbox : tuple + Tuple of the form (x0, y0, x1, y1) in PDFMiner's coordinate + space. + """ + xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) + ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]]) + xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]]) + ymax = max([t.y1 for direction in t_bbox for t in t_bbox[direction]]) + text_bbox = (xmin, ymin, xmax, ymax) + return text_bbox + + @staticmethod + def _group_rows(text, ytol=2): + """Groups PDFMiner text objects into rows using their + y-coordinates taking into account some tolerance ytol. + + Parameters + ---------- + text : list + List of PDFMiner text objects. + + ytol : int + Tolerance parameter. + (optional, default: 2) + + Returns + ------- + rows : list + Two-dimensional list of text objects grouped into rows. + """ + row_y = 0 + rows = [] + temp = [] + for t in text: + # is checking for upright necessary? + # if t.get_text().strip() and all([obj.upright for obj in t._objs if + # type(obj) is LTChar]): + if t.get_text().strip(): + if not np.isclose(row_y, t.y0, atol=ytol): + rows.append(sorted(temp, key=lambda t: t.x0)) + temp = [] + row_y = t.y0 + temp.append(t) + rows.append(sorted(temp, key=lambda t: t.x0)) + __ = rows.pop(0) # hacky + return rows + + @staticmethod + def _merge_columns(l, mtol=0): + """Merges column boundaries if they overlap or lie within some + tolerance mtol. + + Parameters + ---------- + l : list + List of column coordinate tuples. + + mtol : int + TODO + (optional, default: 0) + + Returns + ------- + merged : list + List of merged column coordinate tuples. + """ + merged = [] + for higher in l: + if not merged: + merged.append(higher) + else: + lower = merged[-1] + if mtol >= 0: + if (higher[0] <= lower[1] or + np.isclose(higher[0], lower[1], atol=mtol)): + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + elif mtol < 0: + if higher[0] <= lower[1]: + if np.isclose(higher[0], lower[1], atol=abs(mtol)): + merged.append(higher) + else: + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + return merged + + @staticmethod + def _join_rows(rows_grouped, text_y_max, text_y_min): + """Makes row coordinates continuous. + + Parameters + ---------- + rows_grouped : list + Two-dimensional list of text objects grouped into rows. + + text_y_max : int + + text_y_min : int + + Returns + ------- + rows : list + List of continuous row coordinate tuples. + """ + row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) + if len(r) > 0 else 0 for r in rows_grouped] + rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] + rows.insert(0, text_y_max) + rows.append(text_y_min) + rows = [(rows[i], rows[i + 1]) + for i in range(0, len(rows) - 1)] + return rows + + @staticmethod + def _add_columns(cols, text, ytol): + """Adds columns to existing list by taking into account + the text that lies outside the current column coordinates. + + Parameters + ---------- + cols : list + List of column coordinate tuples. + + text : list + List of PDFMiner text objects. + + ytol : int + Tolerance parameter. + + Returns + ------- + cols : list + Updated list of column coordinate tuples. + """ + if text: + text = Stream._group_rows(text, ytol=ytol) + elements = [len(r) for r in text] + new_cols = [(t.x0, t.x1) + for r in text if len(r) == max(elements) for t in r] + cols.extend(Stream._merge_columns(sorted(new_cols))) + return cols + + @staticmethod + def _join_columns(cols, text_x_min, text_x_max): + """Makes column coordinates continuous. + + Parameters + ---------- + cols : list + List of column coordinate tuples. + + text_x_min : int + + text_y_max : int + + Returns + ------- + cols : list + Updated list of column coordinate tuples. + """ + cols = sorted(cols) + cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1)] + return cols + + def extract_tables(self, pdfname): """Expects a single page pdf as input with rotation corrected. Parameters @@ -308,11 +308,13 @@ class Stream: os.path.basename(bname))) return {os.path.basename(bname): None} + g = Geometry() if self.debug: - self.debug_text = [] - self.debug_text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlh]) - self.debug_text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlv]) - return None + text = [] + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlh]) + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlv]) + g.text = text + return [None], [g] if self.table_area is not None: if self.columns is not None: @@ -354,9 +356,9 @@ class Stream: table_data['text_p'] = 100 * (1 - (len(char_bbox) / len(ltchar))) for direction in t_bbox: t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) - text_x_min, text_y_min, text_x_max, text_y_max = _text_bbox(t_bbox) - rows_grouped = _group_rows(t_bbox['horizontal'], ytol=ytolerance[table_no]) - rows = _join_rows(rows_grouped, text_y_max, text_y_min) + text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(t_bbox) + rows_grouped = self._group_rows(t_bbox['horizontal'], ytol=ytolerance[table_no]) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) elements = [len(r) for r in rows_grouped] guess = False @@ -380,7 +382,7 @@ class Stream: os.path.basename(bname))) cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r] - cols = _merge_columns(sorted(cols), mtol=mtolerance[table_no]) + cols = self._merge_columns(sorted(cols), mtol=mtolerance[table_no]) inner_text = [] for i in range(1, len(cols)): left = cols[i - 1][1] @@ -392,8 +394,8 @@ class Stream: for t in t_bbox[direction] if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] inner_text.extend(outer_text) - cols = _add_columns(cols, inner_text, ytolerance[table_no]) - cols = _join_columns(cols, text_x_min, text_x_max) + cols = self._add_columns(cols, inner_text, ytolerance[table_no]) + cols = self._join_columns(cols, text_x_min, text_x_max) table = Table(cols, rows) table = table.set_all_edges() @@ -433,87 +435,6 @@ class Stream: return page -def _reduce_index(t, idx, shift_text): - """Reduces index of a text object if it lies within a spanning - cell. - - Parameters - ---------- - table : object - camelot.table.Table - - idx : list - List of tuples of the form (r_idx, c_idx, text). - - shift_text : list - {'l', 'r', 't', 'b'} - Select one or more from above and pass them as a list to - specify where the text in a spanning cell should flow. - - Returns - ------- - indices : list - List of tuples of the form (idx, text) where idx is the reduced - index of row/column and text is the an lttextline substring. - """ - indices = [] - for r_idx, c_idx, text in idx: - for d in shift_text: - if d == 'l': - if t.cells[r_idx][c_idx].spanning_h: - while not t.cells[r_idx][c_idx].left: - c_idx -= 1 - if d == 'r': - if t.cells[r_idx][c_idx].spanning_h: - while not t.cells[r_idx][c_idx].right: - c_idx += 1 - if d == 't': - if t.cells[r_idx][c_idx].spanning_v: - while not t.cells[r_idx][c_idx].top: - r_idx -= 1 - if d == 'b': - if t.cells[r_idx][c_idx].spanning_v: - while not t.cells[r_idx][c_idx].bottom: - r_idx += 1 - indices.append((r_idx, c_idx, text)) - return indices - - -def _fill_spanning(t, fill=None): - """Fills spanning cells. - - Parameters - ---------- - t : object - camelot.table.Table - - fill : list - {'h', 'v'} - Specify to fill spanning cells in horizontal or vertical - direction. - (optional, default: None) - - Returns - ------- - t : object - camelot.table.Table - """ - for f in fill: - if f == "h": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_h and not t.cells[i][j].left: - t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) - elif f == "v": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_v and not t.cells[i][j].top: - t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) - return t - - class Lattice: """Lattice looks for lines in the pdf to form a table. @@ -617,7 +538,88 @@ class Lattice: self.shift_text = shift_text self.debug = debug - def get_tables(self, pdfname): + @staticmethod + def _reduce_index(t, idx, shift_text): + """Reduces index of a text object if it lies within a spanning + cell. + + Parameters + ---------- + table : object + camelot.table.Table + + idx : list + List of tuples of the form (r_idx, c_idx, text). + + shift_text : list + {'l', 'r', 't', 'b'} + Select one or more from above and pass them as a list to + specify where the text in a spanning cell should flow. + + Returns + ------- + indices : list + List of tuples of the form (idx, text) where idx is the reduced + index of row/column and text is the an lttextline substring. + """ + indices = [] + for r_idx, c_idx, text in idx: + for d in shift_text: + if d == 'l': + if t.cells[r_idx][c_idx].spanning_h: + while not t.cells[r_idx][c_idx].left: + c_idx -= 1 + if d == 'r': + if t.cells[r_idx][c_idx].spanning_h: + while not t.cells[r_idx][c_idx].right: + c_idx += 1 + if d == 't': + if t.cells[r_idx][c_idx].spanning_v: + while not t.cells[r_idx][c_idx].top: + r_idx -= 1 + if d == 'b': + if t.cells[r_idx][c_idx].spanning_v: + while not t.cells[r_idx][c_idx].bottom: + r_idx += 1 + indices.append((r_idx, c_idx, text)) + return indices + + + def _fill_spanning(t, fill=None): + """Fills spanning cells. + + Parameters + ---------- + t : object + camelot.table.Table + + fill : list + {'h', 'v'} + Specify to fill spanning cells in horizontal or vertical + direction. + (optional, default: None) + + Returns + ------- + t : object + camelot.table.Table + """ + for f in fill: + if f == "h": + for i in range(len(t.cells)): + for j in range(len(t.cells[i])): + if t.cells[i][j].get_text().strip() == '': + if t.cells[i][j].spanning_h and not t.cells[i][j].left: + t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) + elif f == "v": + for i in range(len(t.cells)): + for j in range(len(t.cells[i])): + if t.cells[i][j].get_text().strip() == '': + if t.cells[i][j].spanning_v and not t.cells[i][j].top: + t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) + return t + + def extract_tables(self, pdfname): """Expects a single page pdf as input with rotation corrected. Parameters @@ -696,15 +698,16 @@ class Lattice: else: jtolerance = copy.deepcopy(self.jtol) + g = Geometry() if self.debug: - self.debug_images = (img, table_bbox) + g.images = [(img, table_bbox)] table_bbox, v_segments, h_segments = scale_to_pdf(table_bbox, v_segments, h_segments, factors_pdf) if self.debug: - self.debug_segments = (v_segments, h_segments) - self.debug_tables = [] + g.segments = [(v_segments, h_segments)] + _tables = [] page = {} tables = {} @@ -737,15 +740,13 @@ class Lattice: table = Table(cols, rows) # set table edges to True using ver+hor lines table = table.set_edges(v_s, h_s, jtol=jtolerance[table_no]) - nouse = table.nocont_ / (len(v_s) + len(h_s)) - table_data['line_p'] = 100 * (1 - nouse) # set spanning cells to True table = table.set_spanning() # set table border edges to True table = table.set_border_edges() if self.debug: - self.debug_tables.append(table) + _tables.append(table) assignment_errors = [] table_data['split_text'] = [] @@ -757,7 +758,7 @@ class Lattice: flag_size=self.flag_size) if indices[:2] != (-1, -1): assignment_errors.append(error) - indices = _reduce_index(table, indices, shift_text=self.shift_text) + indices = self._reduce_index(table, indices, shift_text=self.shift_text) if len(indices) > 1: table_data['split_text'].append(indices) for r_idx, c_idx, text in indices: @@ -768,7 +769,7 @@ class Lattice: table_data['score'] = score if self.fill is not None: - table = _fill_spanning(table, fill=self.fill) + table = self._fill_spanning(table, fill=self.fill) ar = table.get_list() ar = encode_list(ar) table_data['data'] = ar @@ -782,6 +783,7 @@ class Lattice: page[os.path.basename(bname)] = tables if self.debug: - return None + g.tables = _tables + return [None], [g] return page \ No newline at end of file diff --git a/camelot/plot.py b/camelot/plot.py new file mode 100644 index 0000000..92bcd69 --- /dev/null +++ b/camelot/plot.py @@ -0,0 +1,98 @@ +import matplotlib.pyplot as plt +import matplotlib.patches as patches + +from .handlers import PDFHandler + + +def plot_geometry(filepath, pages='1', mesh=False, geometry_type='text', **kwargs): + # explicit type conversion + p = PDFHandler(filepath, pages) + kwargs.update({'debug': geometry_type}) + __, geometry = p.parse(mesh=mesh, **kwargs) + + if geometry_type == 'text': + for text in geometry.text: + fig = plt.figure() + ax = fig.add_subplot(111, aspect='equal') + xs, ys = [], [] + for t in text: + xs.extend([t[0], t[1]]) + ys.extend([t[2], t[3]]) + ax.add_patch( + patches.Rectangle( + (t[0], t[1]), + t[2] - t[0], + t[3] - t[1] + ) + ) + ax.set_xlim(min(xs) - 10, max(xs) + 10) + ax.set_ylim(min(ys) - 10, max(ys) + 10) + plt.show() + elif geometry_type == 'contour': + try: + for img, table_bbox in geometry.images: + for t in table_bbox.keys(): + cv2.rectangle(img, (t[0], t[1]), + (t[2], t[3]), (255, 0, 0), 3) + plt.imshow(img) + plt.show() + except AttributeError: + raise ValueError("This option can only be used with Lattice.") + elif geometry_type == 'joint': + try: + for img, table_bbox in geometry.images: + x_coord = [] + y_coord = [] + for k in table_bbox.keys(): + for coord in table_bbox[k]: + x_coord.append(coord[0]) + y_coord.append(coord[1]) + max_x, max_y = max(x_coord), max(y_coord) + plt.plot(x_coord, y_coord, 'ro') + plt.axis([0, max_x + 100, max_y + 100, 0]) + plt.imshow(img) + plt.show() + except AttributeError: + raise ValueError("This option can only be used with Lattice.") + elif geometry_type == 'line': + try: + for v_s, h_s in geometry.segments: + for v in v_s: + plt.plot([v[0], v[2]], [v[1], v[3]]) + for h in h_s: + plt.plot([h[0], h[2]], [h[1], h[3]]) + plt.show() + except AttributeError: + raise ValueError("This option can only be used with Lattice.") + elif geometry_type == 'table': + try: + for tables in geometry.tables: + for table in tables: + for r in range(len(table.rows)): + for c in range(len(table.cols)): + if table.cells[r][c].left: + plt.plot([table.cells[r][c].lb[0], + table.cells[r][c].lt[0]], + [table.cells[r][c].lb[1], + table.cells[r][c].lt[1]]) + if table.cells[r][c].right: + plt.plot([table.cells[r][c].rb[0], + table.cells[r][c].rt[0]], + [table.cells[r][c].rb[1], + table.cells[r][c].rt[1]]) + if table.cells[r][c].top: + plt.plot([table.cells[r][c].lt[0], + table.cells[r][c].rt[0]], + [table.cells[r][c].lt[1], + table.cells[r][c].rt[1]]) + if table.cells[r][c].bottom: + plt.plot([table.cells[r][c].lb[0], + table.cells[r][c].rb[0]], + [table.cells[r][c].lb[1], + table.cells[r][c].rb[1]]) + plt.show() + except AttributeError: + raise ValueError("This option can only be used with Lattice.") + else: + raise UserWarning("This method can only be called after" + " debug has been specified.") \ No newline at end of file From 9124e3374c5d0aec61b53a7c7725d3839effacdd Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Wed, 5 Sep 2018 18:20:46 +0530 Subject: [PATCH 10/39] Add properties to Table --- camelot/core.py | 70 +++++++- camelot/handlers.py | 3 +- camelot/parsers.py | 405 +++++--------------------------------------- camelot/utils.py | 4 +- 4 files changed, 110 insertions(+), 372 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index ec74eb3..9089593 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -1,5 +1,4 @@ import numpy as np -import pandas as pd class Cell(object): @@ -48,9 +47,15 @@ class Table(object): self.rows = rows self.cells = [[Cell(c[0], r[1], c[1], r[0]) for c in cols] for r in rows] + self._df = None + self._shape = (0, 0) + self._accuracy = 0 + self._whitespace = 0 + self._order = None + self._page = None def __repr__(self): - pass + return '<{} shape={}>'.format(self.__class__.__name__, self._shape) def set_all_edges(self): for r in range(len(self.rows)): @@ -216,12 +221,61 @@ class Table(object): return self - def get_list(self): - ar = [] + @property + def data(self): + d = [] for r in range(len(self.rows)): - ar.append([self.cells[r][c].get_text().strip() + d.append([self.cells[r][c].get_text().strip() for c in range(len(self.cols))]) - return ar + return d + + @property + def df(self): + return self._df + + @df.setter + def df(self, dataframe): + self._df = dataframe + + @property + def shape(self): + return self._shape + + @shape.setter + def shape(self, s): + self._shape = s + + @property + def accuracy(self): + return self._accuracy + + @accuracy.setter + def accuracy(self, a): + self._accuracy = a + + @property + def whitespace(self): + return self._whitespace + + @whitespace.setter + def whitespace(self, w): + self._whitespace = w + + @property + def order(self): + return self._order + + @order.setter + def order(self, o): + self._order = o + + @property + def page(self): + return self._page + + @page.setter + def page(self, p): + self._page = p class TableList(list): @@ -236,8 +290,8 @@ class TableList(list): class Geometry(object): def __init__(self): self._text = [] - self._images = [] - self._segments = [] + self._images = () + self._segments = () self._tables = [] @property diff --git a/camelot/handlers.py b/camelot/handlers.py index 35f14f4..dce3b05 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -3,6 +3,7 @@ import tempfile from PyPDF2 import PdfFileReader, PdfFileWriter +from .core import TableList, GeometryList from .parsers import Stream, Lattice from .utils import get_page_layout, get_text_objects, get_rotation @@ -80,5 +81,5 @@ class PDFHandler(object): for p in pages: t, g = parser.extract_tables(p) tables.extend(t) - geometry.extend(g) + geometry.append(g) return TableList(tables), GeometryList(geometry) \ No newline at end of file diff --git a/camelot/parsers.py b/camelot/parsers.py index 205743c..20820da 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -9,13 +9,14 @@ import warnings import subprocess import numpy as np +import pandas as pd from .core import Table, Geometry from .image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, - merge_close_values, get_table_index, get_score, count_empty, - encode_list, get_text_objects, get_page_layout) + merge_close_values, get_table_index, compute_accuracy, count_empty, + get_text_objects, get_page_layout, encode_) __all__ = ['Stream', 'Lattice'] @@ -31,58 +32,6 @@ copy_reg.pickle(types.MethodType, _reduce_method) class Stream: - """Stream looks for spaces between text elements to form a table. - - If you want to give columns, ytol or mtol for each table - when specifying multiple table areas, make sure that their length - is equal to the length of table_area. Mapping between them is based - on index. - - If you don't want to specify columns for the some tables in a pdf - page having multiple tables, pass them as empty strings. - For example: ['', 'x1,x2,x3,x4', ''] - - Parameters - ---------- - table_area : list - List of strings of the form x1,y1,x2,y2 where - (x1, y1) -> left-top and (x2, y2) -> right-bottom in PDFMiner's - coordinate space, denoting table areas to analyze. - (optional, default: None) - - columns : list - List of strings where each string is comma-separated values of - x-coordinates in PDFMiner's coordinate space. - (optional, default: None) - - ytol : list - List of ints specifying the y-tolerance parameters. - (optional, default: [2]) - - mtol : list - List of ints specifying the m-tolerance parameters. - (optional, default: [0]) - - margins : tuple - PDFMiner margins. (char_margin, line_margin, word_margin) - (optional, default: (1.0, 0.5, 0.1)) - - split_text : bool - Whether or not to split a text line if it spans across - different cells. - (optional, default: False) - - flag_size : bool - Whether or not to highlight a substring using - if its size is different from rest of the string, useful for - super and subscripts. - (optional, default: True) - - debug : bool - Set to True to generate a matplotlib plot of - LTTextLineHorizontals in order to select table_area, columns. - (optional, default: False) - """ def __init__(self, table_area=None, columns=None, ytol=[2], mtol=[0], margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, debug=False): @@ -99,20 +48,6 @@ class Stream: @staticmethod def _text_bbox(t_bbox): - """Returns bounding box for the text present on a page. - - Parameters - ---------- - t_bbox : dict - Dict with two keys 'horizontal' and 'vertical' with lists of - LTTextLineHorizontals and LTTextLineVerticals respectively. - - Returns - ------- - text_bbox : tuple - Tuple of the form (x0, y0, x1, y1) in PDFMiner's coordinate - space. - """ xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]]) xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]]) @@ -122,23 +57,6 @@ class Stream: @staticmethod def _group_rows(text, ytol=2): - """Groups PDFMiner text objects into rows using their - y-coordinates taking into account some tolerance ytol. - - Parameters - ---------- - text : list - List of PDFMiner text objects. - - ytol : int - Tolerance parameter. - (optional, default: 2) - - Returns - ------- - rows : list - Two-dimensional list of text objects grouped into rows. - """ row_y = 0 rows = [] temp = [] @@ -158,23 +76,6 @@ class Stream: @staticmethod def _merge_columns(l, mtol=0): - """Merges column boundaries if they overlap or lie within some - tolerance mtol. - - Parameters - ---------- - l : list - List of column coordinate tuples. - - mtol : int - TODO - (optional, default: 0) - - Returns - ------- - merged : list - List of merged column coordinate tuples. - """ merged = [] for higher in l: if not merged: @@ -203,22 +104,6 @@ class Stream: @staticmethod def _join_rows(rows_grouped, text_y_max, text_y_min): - """Makes row coordinates continuous. - - Parameters - ---------- - rows_grouped : list - Two-dimensional list of text objects grouped into rows. - - text_y_max : int - - text_y_min : int - - Returns - ------- - rows : list - List of continuous row coordinate tuples. - """ row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) if len(r) > 0 else 0 for r in rows_grouped] rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] @@ -230,25 +115,6 @@ class Stream: @staticmethod def _add_columns(cols, text, ytol): - """Adds columns to existing list by taking into account - the text that lies outside the current column coordinates. - - Parameters - ---------- - cols : list - List of column coordinate tuples. - - text : list - List of PDFMiner text objects. - - ytol : int - Tolerance parameter. - - Returns - ------- - cols : list - Updated list of column coordinate tuples. - """ if text: text = Stream._group_rows(text, ytol=ytol) elements = [len(r) for r in text] @@ -259,22 +125,6 @@ class Stream: @staticmethod def _join_columns(cols, text_x_min, text_x_max): - """Makes column coordinates continuous. - - Parameters - ---------- - cols : list - List of column coordinate tuples. - - text_x_min : int - - text_y_max : int - - Returns - ------- - cols : list - Updated list of column coordinate tuples. - """ cols = sorted(cols) cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] cols.insert(0, text_x_min) @@ -284,17 +134,6 @@ class Stream: return cols def extract_tables(self, pdfname): - """Expects a single page pdf as input with rotation corrected. - - Parameters - --------- - pdfname : string - Path to single page pdf file. - - Returns - ------- - page : dict - """ layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, line_margin=self.line_margin, word_margin=self.word_margin) lttextlh = get_text_objects(layout, ltype="lh") @@ -314,7 +153,6 @@ class Stream: text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlh]) text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlv]) g.text = text - return [None], [g] if self.table_area is not None: if self.columns is not None: @@ -343,17 +181,13 @@ class Stream: else: mtolerance = copy.deepcopy(self.mtol) - page = {} - tables = {} + _tables = [] # sort tables based on y-coord for table_no, k in enumerate(sorted(table_bbox.keys(), key=lambda x: x[1], reverse=True)): # select elements which lie within table_bbox - table_data = {} t_bbox = {} t_bbox['horizontal'] = text_in_bbox(k, lttextlh) t_bbox['vertical'] = text_in_bbox(k, lttextlv) - char_bbox = text_in_bbox(k, ltchar) - table_data['text_p'] = 100 * (1 - (len(char_bbox) / len(ltchar))) for direction in t_bbox: t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(t_bbox) @@ -399,124 +233,38 @@ class Stream: table = Table(cols, rows) table = table.set_all_edges() - assignment_errors = [] - table_data['split_text'] = [] - table_data['superscript'] = [] + pos_errors = [] for direction in t_bbox: for t in t_bbox[direction]: indices, error = get_table_index( table, t, direction, split_text=self.split_text, flag_size=self.flag_size) - assignment_errors.append(error) - if len(indices) > 1: - table_data['split_text'].append(indices) - for r_idx, c_idx, text in indices: - if all(s in text for s in ['', '']): - table_data['superscript'].append((r_idx, c_idx, text)) - table.cells[r_idx][c_idx].add_text(text) + if indices[:2] != (-1, -1): + pos_errors.append(error) + for r_idx, c_idx, text in indices: + table.cells[r_idx][c_idx].add_text(text) if guess: - score = get_score([[66, assignment_errors], [34, [len_non_mode / len(elements)]]]) + accuracy = compute_accuracy([[66, pos_errors], [34, [len_non_mode / len(elements)]]]) else: - score = get_score([[100, assignment_errors]]) + accuracy = compute_accuracy([[100, pos_errors]]) - table_data['score'] = score - ar = table.get_list() - ar = encode_list(ar) - table_data['data'] = ar - empty_p, r_nempty_cells, c_nempty_cells = count_empty(ar) - table_data['empty_p'] = empty_p - table_data['r_nempty_cells'] = r_nempty_cells - table_data['c_nempty_cells'] = c_nempty_cells - table_data['nrows'] = len(ar) - table_data['ncols'] = len(ar[0]) - tables['table-{0}'.format(table_no + 1)] = table_data - page[os.path.basename(bname)] = tables + data = table.data + data = encode_(data) + table.df = pd.DataFrame(data) + table.shape = table.df.shape - return page + whitespace, __, __ = count_empty(data) + table.accuracy = accuracy + table.whitespace = whitespace + table.order = table_no + 1 + table.page = os.path.basename(bname).replace('page-', '') + + _tables.append(table) + + return _tables, g class Lattice: - """Lattice looks for lines in the pdf to form a table. - - If you want to give fill and mtol for each table when specifying - multiple table areas, make sure that the length of fill and mtol - is equal to the length of table_area. Mapping between them is based - on index. - - Parameters - ---------- - table_area : list - List of strings of the form x1,y1,x2,y2 where - (x1, y1) -> left-top and (x2, y2) -> right-bottom in PDFMiner's - coordinate space, denoting table areas to analyze. - (optional, default: None) - - fill : list - List of strings specifying directions to fill spanning cells. - {'h', 'v'} to fill spanning cells in horizontal or vertical - direction. - (optional, default: None) - - mtol : list - List of ints specifying m-tolerance parameters. - (optional, default: [2]) - - jtol : list - List of ints specifying j-tolerance parameters. - (optional, default: [2]) - - blocksize : int - Size of a pixel neighborhood that is used to calculate a - threshold value for the pixel: 3, 5, 7, and so on. - (optional, default: 15) - - threshold_constant : float - Constant subtracted from the mean or weighted mean - (see the details below). Normally, it is positive but may be - zero or negative as well. - (optional, default: -2) - - scale : int - Used to divide the height/width of a pdf to get a structuring - element for image processing. - (optional, default: 15) - - iterations : int - Number of iterations for dilation. - (optional, default: 0) - - invert : bool - Whether or not to invert the image. Useful when pdfs have - tables with lines in background. - (optional, default: False) - - margins : tuple - PDFMiner margins. (char_margin, line_margin, word_margin) - (optional, default: (1.0, 0.5, 0.1)) - - split_text : bool - Whether or not to split a text line if it spans across - different cells. - (optional, default: False) - - flag_size : bool - Whether or not to highlight a substring using - if its size is different from rest of the string, useful for - super and subscripts. - (optional, default: True) - - shift_text : list - {'l', 'r', 't', 'b'} - Select one or more from above and pass them as a list to - specify where the text in a spanning cell should flow. - (optional, default: ['l', 't']) - - debug : string - {'contour', 'line', 'joint', 'table'} - Set to one of the above values to generate a matplotlib plot - of detected contours, lines, joints and the table generated. - (optional, default: None) - """ def __init__(self, table_area=None, fill=None, mtol=[2], jtol=[2], blocksize=15, threshold_constant=-2, scale=15, iterations=0, invert=False, margins=(1.0, 0.5, 0.1), split_text=False, @@ -540,28 +288,6 @@ class Lattice: @staticmethod def _reduce_index(t, idx, shift_text): - """Reduces index of a text object if it lies within a spanning - cell. - - Parameters - ---------- - table : object - camelot.table.Table - - idx : list - List of tuples of the form (r_idx, c_idx, text). - - shift_text : list - {'l', 'r', 't', 'b'} - Select one or more from above and pass them as a list to - specify where the text in a spanning cell should flow. - - Returns - ------- - indices : list - List of tuples of the form (idx, text) where idx is the reduced - index of row/column and text is the an lttextline substring. - """ indices = [] for r_idx, c_idx, text in idx: for d in shift_text: @@ -586,24 +312,6 @@ class Lattice: def _fill_spanning(t, fill=None): - """Fills spanning cells. - - Parameters - ---------- - t : object - camelot.table.Table - - fill : list - {'h', 'v'} - Specify to fill spanning cells in horizontal or vertical - direction. - (optional, default: None) - - Returns - ------- - t : object - camelot.table.Table - """ for f in fill: if f == "h": for i in range(len(t.cells)): @@ -620,17 +328,6 @@ class Lattice: return t def extract_tables(self, pdfname): - """Expects a single page pdf as input with rotation corrected. - - Parameters - ---------- - pdfname : string - Path to single page pdf file. - - Returns - ------- - page : dict - """ layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, line_margin=self.line_margin, word_margin=self.word_margin) lttextlh = get_text_objects(layout, ltype="lh") @@ -700,27 +397,22 @@ class Lattice: g = Geometry() if self.debug: - g.images = [(img, table_bbox)] + g.images = (img, table_bbox) table_bbox, v_segments, h_segments = scale_to_pdf(table_bbox, v_segments, h_segments, factors_pdf) if self.debug: - g.segments = [(v_segments, h_segments)] - _tables = [] + g.segments = (v_segments, h_segments) - page = {} - tables = {} + _tables = [] # sort tables based on y-coord for table_no, k in enumerate(sorted(table_bbox.keys(), key=lambda x: x[1], reverse=True)): # select elements which lie within table_bbox - table_data = {} t_bbox = {} v_s, h_s = segments_bbox(k, v_segments, h_segments) t_bbox['horizontal'] = text_in_bbox(k, lttextlh) t_bbox['vertical'] = text_in_bbox(k, lttextlv) - char_bbox = text_in_bbox(k, ltchar) - table_data['text_p'] = 100 * (1 - (len(char_bbox) / len(ltchar))) for direction in t_bbox: t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) cols, rows = zip(*table_bbox[k]) @@ -745,45 +437,36 @@ class Lattice: # set table border edges to True table = table.set_border_edges() - if self.debug: - _tables.append(table) - - assignment_errors = [] - table_data['split_text'] = [] - table_data['superscript'] = [] + pos_errors = [] for direction in ['vertical', 'horizontal']: for t in t_bbox[direction]: indices, error = get_table_index( table, t, direction, split_text=self.split_text, flag_size=self.flag_size) if indices[:2] != (-1, -1): - assignment_errors.append(error) + pos_errors.append(error) indices = self._reduce_index(table, indices, shift_text=self.shift_text) - if len(indices) > 1: - table_data['split_text'].append(indices) for r_idx, c_idx, text in indices: - if all(s in text for s in ['', '']): - table_data['superscript'].append((r_idx, c_idx, text)) table.cells[r_idx][c_idx].add_text(text) - score = get_score([[100, assignment_errors]]) - table_data['score'] = score + accuracy = compute_accuracy([[100, pos_errors]]) if self.fill is not None: table = self._fill_spanning(table, fill=self.fill) - ar = table.get_list() - ar = encode_list(ar) - table_data['data'] = ar - empty_p, r_nempty_cells, c_nempty_cells = count_empty(ar) - table_data['empty_p'] = empty_p - table_data['r_nempty_cells'] = r_nempty_cells - table_data['c_nempty_cells'] = c_nempty_cells - table_data['nrows'] = len(ar) - table_data['ncols'] = len(ar[0]) - tables['table-{0}'.format(table_no + 1)] = table_data - page[os.path.basename(bname)] = tables + + data = table.data + data = encode_(data) + table.df = pd.DataFrame(data) + table.shape = table.df.shape + + whitespace, __, __ = count_empty(data) + table.accuracy = accuracy + table.whitespace = whitespace + table.order = table_no + 1 + table.page = os.path.basename(bname).replace('page-', '') + + _tables.append(table) if self.debug: g.tables = _tables - return [None], [g] - return page \ No newline at end of file + return _tables, g \ No newline at end of file diff --git a/camelot/utils.py b/camelot/utils.py index 3640b37..650e62a 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -557,7 +557,7 @@ def get_table_index(table, t, direction, split_text=False, flag_size=True): return [(r_idx, c_idx, t.get_text().strip('\n'))], error -def get_score(error_weights): +def compute_accuracy(error_weights): """Calculates score based on weights assigned to various parameters, and their error percentages. @@ -648,7 +648,7 @@ def count_empty(d): return empty_p, r_nempty_cells, c_nempty_cells -def encode_list(ar): +def encode_(ar): """Encodes list of text. Parameters From 73e52939f5d295f521e4ba4846f5b3c3e36367c5 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Wed, 5 Sep 2018 18:50:10 +0530 Subject: [PATCH 11/39] Add parsing_report property --- camelot/core.py | 19 +++++++++++++++++++ camelot/parsers.py | 4 ++-- 2 files changed, 21 insertions(+), 2 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 9089593..0c66d7a 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -1,3 +1,5 @@ +import json + import numpy as np @@ -277,6 +279,17 @@ class Table(object): def page(self, p): self._page = p + @property + def parsing_report(self): + # pretty? + report = { + 'accuracy': self._accuracy, + 'whitespace': self._whitespace, + 'order': self._order, + 'page': self._page + } + return report + class TableList(list): def __init__(self, tables): @@ -286,6 +299,12 @@ class TableList(list): return '<{} tables={}>'.format( self.__class__.__name__, len(self._tables)) + def __len__(self): + return len(self._tables) + + def __getitem__(self, idx): + return self._tables[idx] + class Geometry(object): def __init__(self): diff --git a/camelot/parsers.py b/camelot/parsers.py index 20820da..50bd8a5 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -257,7 +257,7 @@ class Stream: table.accuracy = accuracy table.whitespace = whitespace table.order = table_no + 1 - table.page = os.path.basename(bname).replace('page-', '') + table.page = int(os.path.basename(bname).replace('page-', '')) _tables.append(table) @@ -462,7 +462,7 @@ class Lattice: table.accuracy = accuracy table.whitespace = whitespace table.order = table_no + 1 - table.page = os.path.basename(bname).replace('page-', '') + table.page = int(os.path.basename(bname).replace('page-', '')) _tables.append(table) From 08cbababca5c1fbd01edf46949cc41105b40d806 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Wed, 5 Sep 2018 19:00:30 +0530 Subject: [PATCH 12/39] Add properties to GeometryList --- camelot/core.py | 18 +++++++++++++++++- camelot/plot.py | 1 + 2 files changed, 18 insertions(+), 1 deletion(-) diff --git a/camelot/core.py b/camelot/core.py index 0c66d7a..d25a810 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -359,4 +359,20 @@ class GeometryList(object): len(self._text), len(self._images), len(self._segments), - len(self._tables)) \ No newline at end of file + len(self._tables)) + + @property + def text(self): + return self._text + + @property + def images(self): + return self._images + + @property + def segments(self): + return self._segments + + @property + def tables(self): + return self._tables \ No newline at end of file diff --git a/camelot/plot.py b/camelot/plot.py index 92bcd69..0b37ed9 100644 --- a/camelot/plot.py +++ b/camelot/plot.py @@ -1,3 +1,4 @@ +import cv2 import matplotlib.pyplot as plt import matplotlib.patches as patches From bf63432494fd604f98eaf7c7320e4163212d1adf Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Wed, 5 Sep 2018 19:04:40 +0530 Subject: [PATCH 13/39] Remove docstrings --- camelot/image_processing.py | 135 ------------- camelot/utils.py | 382 ------------------------------------ 2 files changed, 517 deletions(-) diff --git a/camelot/image_processing.py b/camelot/image_processing.py index 1621bea..fc284e4 100644 --- a/camelot/image_processing.py +++ b/camelot/image_processing.py @@ -8,35 +8,6 @@ from .utils import merge_tuples def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): - """Thresholds an image using OpenCV's adaptiveThreshold. - - Parameters - ---------- - imagename : string - Path to image file. - - invert : bool - Whether or not to invert the image. Useful when pdfs have - tables with lines in background. - (optional, default: False) - - blocksize: int - Size of a pixel neighborhood that is used to calculate a - threshold value for the pixel: 3, 5, 7, and so on. - - c: float - Constant subtracted from the mean or weighted mean - (see the details below). Normally, it is positive but may be - zero or negative as well. - - Returns - ------- - img : object - numpy.ndarray representing the original image. - - threshold : object - numpy.ndarray representing the thresholded image. - """ img = cv2.imread(imagename) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) @@ -50,38 +21,6 @@ def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): def find_lines(threshold, direction='horizontal', scale=15, iterations=0): - """Finds horizontal and vertical lines by applying morphological - transformations on an image. - - Parameters - ---------- - threshold : object - numpy.ndarray representing the thresholded image. - - direction : string - Specifies whether to find vertical or horizontal lines. - (default: 'horizontal') - - scale : int - Used to divide the height/width to get a structuring element - for morph transform. - (optional, default: 15) - - iterations : int - Number of iterations for dilation. - (optional, default: 2) - - Returns - ------- - dmask : object - numpy.ndarray representing pixels where vertical/horizontal - lines lie. - - lines : list - List of tuples representing vertical/horizontal lines with - coordinates relative to a left-top origin in - OpenCV's coordinate space. - """ lines = [] if direction == 'vertical': @@ -118,23 +57,6 @@ def find_lines(threshold, direction='horizontal', scale=15, iterations=0): def find_table_contours(vertical, horizontal): - """Finds table boundaries using OpenCV's findContours. - - Parameters - ---------- - vertical : object - numpy.ndarray representing pixels where vertical lines lie. - - horizontal : object - numpy.ndarray representing pixels where horizontal lines lie. - - Returns - ------- - cont : list - List of tuples representing table boundaries. Each tuple is of - the form (x, y, w, h) where (x, y) -> left-top, w -> width and - h -> height in OpenCV's coordinate space. - """ mask = vertical + horizontal try: @@ -154,30 +76,6 @@ def find_table_contours(vertical, horizontal): def find_table_joints(contours, vertical, horizontal): - """Finds joints/intersections present inside each table boundary. - - Parameters - ---------- - contours : list - List of tuples representing table boundaries. Each tuple is of - the form (x, y, w, h) where (x, y) -> left-top, w -> width and - h -> height in OpenCV's coordinate space. - - vertical : object - numpy.ndarray representing pixels where vertical lines lie. - - horizontal : object - numpy.ndarray representing pixels where horizontal lines lie. - - Returns - ------- - tables : dict - Dict with table boundaries as keys and list of intersections - in that boundary as their value. - - Keys are of the form (x1, y1, x2, y2) where (x1, y1) -> lb - and (x2, y2) -> rt in OpenCV's coordinate space. - """ joints = np.bitwise_and(vertical, horizontal) tables = {} for c in contours: @@ -202,23 +100,6 @@ def find_table_joints(contours, vertical, horizontal): def remove_lines(threshold, line_scale=15): - """Removes lines from a thresholded image. - - Parameters - ---------- - threshold : object - numpy.ndarray representing the thresholded image. - - line_scale : int - Line scaling factor. - (optional, default: 15) - - Returns - ------- - threshold : object - numpy.ndarray representing the thresholded image - with horizontal and vertical lines removed. - """ size = threshold.shape[0] // line_scale vertical_erode_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) horizontal_erode_el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1)) @@ -236,22 +117,6 @@ def remove_lines(threshold, line_scale=15): def find_cuts(threshold, char_scale=200): - """Finds cuts made by text projections on y-axis. - - Parameters - ---------- - threshold : object - numpy.ndarray representing the thresholded image. - - char_scale : int - Char scaling factor. - (optional, default: 200) - - Returns - ------- - y_cuts : list - List of cuts on y-axis. - """ size = threshold.shape[0] // char_scale char_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) diff --git a/camelot/utils.py b/camelot/utils.py index 650e62a..df82a8a 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -19,61 +19,16 @@ from pdfminer.layout import (LAParams, LTAnno, LTChar, LTTextLineHorizontal, def translate(x1, x2): - """Translates x2 by x1. - - Parameters - ---------- - x1 : float - - x2 : float - - Returns - ------- - x2 : float - """ x2 += x1 return x2 def scale(x, s): - """Scales x by scaling factor s. - - Parameters - ---------- - x : float - - s : float - - Returns - ------- - x : float - """ x *= s return x def rotate(x1, y1, x2, y2, angle): - """Rotates point x2, y2 about point x1, y1 by angle. - - Parameters - ---------- - x1 : float - - y1 : float - - x2 : float - - y2 : float - - angle : float - Angle in radians. - - Returns - ------- - xnew : float - - ynew : float - """ s = np.sin(angle) c = np.cos(angle) x2 = translate(-x1, x2) @@ -86,28 +41,6 @@ def rotate(x1, y1, x2, y2, angle): def scale_to_image(k, factors): - """Translates and scales PDFMiner coordinates to OpenCV's coordinate - space. - - Parameters - ---------- - k : tuple - Tuple (x1, y1, x2, y2) representing table bounding box where - (x1, y1) -> lt and (x2, y2) -> rb in PDFMiner's coordinate - space. - - factors : tuple - Tuple (scaling_factor_x, scaling_factor_y, pdf_y) where the - first two elements are scaling factors and pdf_y is height of - pdf. - - Returns - ------- - knew : tuple - Tuple (x1, y1, x2, y2) representing table bounding box where - (x1, y1) -> lt and (x2, y2) -> rb in OpenCV's coordinate - space. - """ x1, y1, x2, y2 = k scaling_factor_x, scaling_factor_y, pdf_y = factors x1 = scale(x1, scaling_factor_x) @@ -119,34 +52,6 @@ def scale_to_image(k, factors): def scale_to_pdf(tables, v_segments, h_segments, factors): - """Translates and scales OpenCV coordinates to PDFMiner's coordinate - space. - - Parameters - ---------- - tables : dict - Dict with table boundaries as keys and list of intersections - in that boundary as their value. - - v_segments : list - List of vertical line segments. - - h_segments : list - List of horizontal line segments. - - factors : tuple - Tuple (scaling_factor_x, scaling_factor_y, img_y) where the - first two elements are scaling factors and img_y is height of - image. - - Returns - ------- - tables_new : dict - - v_segments_new : dict - - h_segments_new : dict - """ scaling_factor_x, scaling_factor_y, img_y = factors tables_new = {} for k in tables.keys(): @@ -179,12 +84,6 @@ def scale_to_pdf(tables, v_segments, h_segments, factors): def setup_logging(log_filepath): - """Setup logging - Args: - log_filepath (string): Path to log file - Returns: - logging.Logger: Logger object - """ logger = logging.getLogger("app_logger") logger.setLevel(logging.DEBUG) # Log File Handler (Associating one log file per webservice run) @@ -206,27 +105,6 @@ def setup_logging(log_filepath): def get_rotation(lttextlh, lttextlv, ltchar): - """Detects if text in table is vertical or not using the current - transformation matrix (CTM) and returns its orientation. - - Parameters - ---------- - lttextlh : list - List of PDFMiner LTTextLineHorizontal objects. - - lttextlv : list - List of PDFMiner LTTextLineVertical objects. - - ltchar : list - List of PDFMiner LTChar objects. - - Returns - ------- - rotation : string - {'', 'left', 'right'} - '' if text in table is upright, 'left' if rotated 90 degree - anti-clockwise and 'right' if rotated 90 degree clockwise. - """ rotation = '' hlen = len([t for t in lttextlh if t.get_text().strip()]) vlen = len([t for t in lttextlv if t.get_text().strip()]) @@ -238,29 +116,6 @@ def get_rotation(lttextlh, lttextlv, ltchar): def segments_bbox(bbox, v_segments, h_segments): - """Returns all line segments present inside a - table's bounding box. - - Parameters - ---------- - bbox : tuple - Tuple (x1, y1, x2, y2) representing table bounding box where - (x1, y1) -> lb and (x2, y2) -> rt in PDFMiner's coordinate space. - - v_segments : list - List of vertical line segments. - - h_segments : list - List of vertical horizontal segments. - - Returns - ------- - v_s : list - List of vertical line segments that lie inside table. - - h_s : list - List of horizontal line segments that lie inside table. - """ lb = (bbox[0], bbox[1]) rt = (bbox[2], bbox[3]) v_s = [v for v in v_segments if v[1] > lb[1] - 2 and @@ -271,23 +126,6 @@ def segments_bbox(bbox, v_segments, h_segments): def text_in_bbox(bbox, text): - """Returns all text objects present inside a - table's bounding box. - - Parameters - ---------- - bbox : tuple - Tuple (x1, y1, x2, y2) representing table bounding box where - (x1, y1) -> lb and (x2, y2) -> rt in PDFMiner's coordinate space. - - text : list - List of PDFMiner text objects. - - Returns - ------- - t_bbox : list - List of PDFMiner text objects that lie inside table. - """ lb = (bbox[0], bbox[1]) rt = (bbox[2], bbox[3]) t_bbox = [t for t in text if lb[0] - 2 <= (t.x0 + t.x1) / 2.0 @@ -297,20 +135,6 @@ def text_in_bbox(bbox, text): def remove_close_values(ar, mtol=2): - """Removes values which are within a tolerance of mtol of another value - present in list. - - Parameters - ---------- - ar : list - - mtol : int - (optional, default: 2) - - Returns - ------- - ret : list - """ ret = [] for a in ar: if not ret: @@ -325,20 +149,6 @@ def remove_close_values(ar, mtol=2): def merge_close_values(ar, mtol=2): - """Merges values which are within a tolerance of mtol by calculating - a moving mean. - - Parameters - ---------- - ar : list - - mtol : int - (optional, default: 2) - - Returns - ------- - ret : list - """ ret = [] for a in ar: if not ret: @@ -354,22 +164,6 @@ def merge_close_values(ar, mtol=2): def flag_on_size(textline, direction): - """Flags a super/subscript by enclosing it with . May give - false positives. - - Parameters - ---------- - textline : list - List of PDFMiner LTChar objects. - - direction : string - {'horizontal', 'vertical'} - Direction of the PDFMiner LTTextLine object. - - Returns - ------- - fstring : string - """ if direction == 'horizontal': d = [(t.get_text(), np.round(t.height, decimals=6)) for t in textline if not isinstance(t, LTAnno)] elif direction == 'vertical': @@ -396,33 +190,6 @@ def flag_on_size(textline, direction): def split_textline(table, textline, direction, flag_size=True): - """Splits PDFMiner LTTextLine into substrings if it spans across - multiple rows/columns. - - Parameters - ---------- - table : object - camelot.pdf.Pdf - - textline : object - PDFMiner LTTextLine object. - - direction : string - {'horizontal', 'vertical'} - Direction of the PDFMiner LTTextLine object. - - flag_size : bool - Whether or not to highlight a substring using - if its size is different from rest of the string, useful for - super and subscripts. - (optional, default: True) - - Returns - ------- - grouped_chars : list - List of tuples of the form (idx, text) where idx is the index - of row/column and text is the an lttextline substring. - """ idx = 0 cut_text = [] bbox = textline.bbox @@ -474,47 +241,6 @@ def split_textline(table, textline, direction, flag_size=True): def get_table_index(table, t, direction, split_text=False, flag_size=True): - """Gets indices of the cell where given text object lies by - comparing their y and x-coordinates. - - Parameters - ---------- - table : object - camelot.table.Table - - t : object - PDFMiner LTTextLine object. - - direction : string - {'horizontal', 'vertical'} - Direction of the PDFMiner LTTextLine object. - - split_text : bool - Whether or not to split a text line if it spans across - multiple cells. - (optional, default: False) - - flag_size : bool - Whether or not to highlight a substring using - if its size is different from rest of the string, useful for - super and subscripts. - (optional, default: True) - - Returns - ------- - indices : list - List of tuples of the form (idx, text) where idx is the index - of row/column and text is the an lttextline substring. - - error : float - Assignment error, percentage of text area that lies outside - a cell. - +-------+ - | | - | [Text bounding box] - | | - +-------+ - """ r_idx, c_idx = [-1] * 2 for r in range(len(table.rows)): if ((t.y0 + t.y1) / 2.0 < table.rows[r][0] and @@ -558,20 +284,6 @@ def get_table_index(table, t, direction, split_text=False, flag_size=True): def compute_accuracy(error_weights): - """Calculates score based on weights assigned to various parameters, - and their error percentages. - - Parameters - ---------- - error_weights : list - Two-dimensional list of the form [[p1, e1], [p2, e2], ...] - where pn is the weight assigned to list of errors en. - Sum of pn should be equal to 100. - - Returns - ------- - score : float - """ SCORE_VAL = 100 try: score = 0 @@ -587,16 +299,6 @@ def compute_accuracy(error_weights): def remove_empty(d): - """Removes empty rows and columns from a two-dimensional list. - - Parameters - ---------- - d : list - - Returns - ------- - d : list - """ for i, row in enumerate(d): if row == [''] * len(row): d.pop(i) @@ -607,23 +309,6 @@ def remove_empty(d): def count_empty(d): - """Counts empty rows and columns in a two-dimensional list. - - Parameters - ---------- - d : list - - Returns - ------- - n_empty_rows : list - Number of empty rows. - - n_empty_cols : list - Number of empty columns. - - empty_p : float - Percentage of empty cells. - """ empty_p = 0 r_nempty_cells, c_nempty_cells = [], [] for i in d: @@ -649,41 +334,11 @@ def count_empty(d): def encode_(ar): - """Encodes list of text. - - Parameters - ---------- - ar : list - - Returns - ------- - ar : list - """ ar = [[r.encode('utf-8') for r in row] for row in ar] return ar def get_text_objects(layout, ltype="char", t=None): - """Recursively parses pdf layout to get a list of - text objects. - - Parameters - ---------- - layout : object - PDFMiner LTPage object. - - ltype : string - {'char', 'lh', 'lv'} - Specify 'char', 'lh', 'lv' to get LTChar, LTTextLineHorizontal, - and LTTextLineVertical objects respectively. - - t : list - - Returns - ------- - t : list - List of PDFMiner text objects. - """ if ltype == "char": LTObject = LTChar elif ltype == "lh": @@ -705,33 +360,6 @@ def get_text_objects(layout, ltype="char", t=None): def get_page_layout(pname, char_margin=1.0, line_margin=0.5, word_margin=0.1, detect_vertical=True, all_texts=True): - """Returns a PDFMiner LTPage object and page dimension of a single - page pdf. See https://euske.github.io/pdfminer/ to get definitions - of kwargs. - - Parameters - ---------- - pname : string - Path to pdf file. - - char_margin : float - - line_margin : float - - word_margin : float - - detect_vertical : bool - - all_texts : bool - - Returns - ------- - layout : object - PDFMiner LTPage object. - - dim : tuple - pdf page dimension of the form (width, height). - """ with open(pname, 'r') as f: parser = PDFParser(f) document = PDFDocument(parser) @@ -755,16 +383,6 @@ def get_page_layout(pname, char_margin=1.0, line_margin=0.5, word_margin=0.1, def merge_tuples(tuples): - """Merges a list of overlapping tuples. - - Parameters - ---------- - tuples : list - - Returns - ------- - merged : list - """ merged = list(tuples[0]) for s, e in tuples: if s <= merged[1]: From a4d3165e9417817d9710ab8da23703afbdbaf5b6 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Wed, 5 Sep 2018 19:35:46 +0530 Subject: [PATCH 14/39] Add docstring stubs --- camelot/core.py | 171 ++++++++++++++++++++++++++ camelot/handlers.py | 14 +++ camelot/image_processing.py | 71 +++++++++++ camelot/io.py | 13 ++ camelot/parsers.py | 26 ++++ camelot/plot.py | 10 ++ camelot/utils.py | 238 ++++++++++++++++++++++++++++++++++++ 7 files changed, 543 insertions(+) diff --git a/camelot/core.py b/camelot/core.py index d25a810..87cb6ae 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -4,6 +4,9 @@ import numpy as np class Cell(object): + """ + + """ def __init__(self, x1, y1, x2, y2): self.x1 = x1 self.y1 = y1 @@ -27,23 +30,56 @@ class Cell(object): pass def add_text(self, text): + """ + + Parameters + ---------- + text + """ self.text = ''.join([self.text, text]) def get_text(self): + """ + + Returns + ------- + + """ return self.text def add_object(self, t_object): + """ + + Parameters + ---------- + t_object + """ self.text_objects.append(t_object) def get_objects(self): + """ + + Returns + ------- + + """ return self.text_objects def get_bounded_edges(self): + """ + + Returns + ------- + + """ self.bounded_edges = self.top + self.bottom + self.left + self.right return self.bounded_edges class Table(object): + """ + + """ def __init__(self, cols, rows): self.cols = cols self.rows = rows @@ -60,6 +96,12 @@ class Table(object): return '<{} shape={}>'.format(self.__class__.__name__, self._shape) def set_all_edges(self): + """ + + Returns + ------- + + """ for r in range(len(self.rows)): for c in range(len(self.cols)): self.cells[r][c].left = True @@ -69,6 +111,12 @@ class Table(object): return self def set_border_edges(self): + """ + + Returns + ------- + + """ for r in range(len(self.rows)): self.cells[r][0].left = True self.cells[r][len(self.cols) - 1].right = True @@ -78,6 +126,18 @@ class Table(object): return self def set_edges(self, vertical, horizontal, jtol=2): + """ + + Parameters + ---------- + vertical + horizontal + jtol + + Returns + ------- + + """ for v in vertical: # find closest x coord # iterate over y coords and find closest points @@ -185,6 +245,12 @@ class Table(object): return self def set_spanning(self): + """ + + Returns + ------- + + """ for r in range(len(self.rows)): for c in range(len(self.cols)): bound = self.cells[r][c].get_bounded_edges() @@ -225,6 +291,12 @@ class Table(object): @property def data(self): + """ + + Returns + ------- + + """ d = [] for r in range(len(self.rows)): d.append([self.cells[r][c].get_text().strip() @@ -233,6 +305,12 @@ class Table(object): @property def df(self): + """ + + Returns + ------- + + """ return self._df @df.setter @@ -241,6 +319,12 @@ class Table(object): @property def shape(self): + """ + + Returns + ------- + + """ return self._shape @shape.setter @@ -249,6 +333,12 @@ class Table(object): @property def accuracy(self): + """ + + Returns + ------- + + """ return self._accuracy @accuracy.setter @@ -257,6 +347,12 @@ class Table(object): @property def whitespace(self): + """ + + Returns + ------- + + """ return self._whitespace @whitespace.setter @@ -265,6 +361,12 @@ class Table(object): @property def order(self): + """ + + Returns + ------- + + """ return self._order @order.setter @@ -273,6 +375,12 @@ class Table(object): @property def page(self): + """ + + Returns + ------- + + """ return self._page @page.setter @@ -281,6 +389,12 @@ class Table(object): @property def parsing_report(self): + """ + + Returns + ------- + + """ # pretty? report = { 'accuracy': self._accuracy, @@ -292,6 +406,9 @@ class Table(object): class TableList(list): + """ + + """ def __init__(self, tables): self._tables = tables @@ -307,6 +424,9 @@ class TableList(list): class Geometry(object): + """ + + """ def __init__(self): self._text = [] self._images = () @@ -315,6 +435,12 @@ class Geometry(object): @property def text(self): + """ + + Returns + ------- + + """ return self._text @text.setter @@ -323,6 +449,12 @@ class Geometry(object): @property def images(self): + """ + + Returns + ------- + + """ return self._images @images.setter @@ -331,6 +463,12 @@ class Geometry(object): @property def segments(self): + """ + + Returns + ------- + + """ return self._segments @segments.setter @@ -339,6 +477,12 @@ class Geometry(object): @property def tables(self): + """ + + Returns + ------- + + """ return self._tables @tables.setter @@ -347,6 +491,9 @@ class Geometry(object): class GeometryList(object): + """ + + """ def __init__(self, geometry): self._text = [g.text for g in geometry] self._images = [g.images for g in geometry] @@ -363,16 +510,40 @@ class GeometryList(object): @property def text(self): + """ + + Returns + ------- + + """ return self._text @property def images(self): + """ + + Returns + ------- + + """ return self._images @property def segments(self): + """ + + Returns + ------- + + """ return self._segments @property def tables(self): + """ + + Returns + ------- + + """ return self._tables \ No newline at end of file diff --git a/camelot/handlers.py b/camelot/handlers.py index dce3b05..c4bcfd8 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -9,6 +9,9 @@ from .utils import get_page_layout, get_text_objects, get_rotation class PDFHandler(object): + """ + + """ def __init__(self, filename, pages='1'): self.filename = filename if not self.filename.endswith('.pdf'): @@ -71,6 +74,17 @@ class PDFHandler(object): outfile.write(f) def parse(self, mesh=False, **kwargs): + """ + + Parameters + ---------- + mesh + kwargs + + Returns + ------- + + """ for p in self.pages: self.__save_page(self.filename, p, self.temp) pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) diff --git a/camelot/image_processing.py b/camelot/image_processing.py index fc284e4..a1526ef 100644 --- a/camelot/image_processing.py +++ b/camelot/image_processing.py @@ -8,6 +8,19 @@ from .utils import merge_tuples def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): + """ + + Parameters + ---------- + imagename + invert + blocksize + c + + Returns + ------- + + """ img = cv2.imread(imagename) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) @@ -21,6 +34,19 @@ def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): def find_lines(threshold, direction='horizontal', scale=15, iterations=0): + """ + + Parameters + ---------- + threshold + direction + scale + iterations + + Returns + ------- + + """ lines = [] if direction == 'vertical': @@ -57,6 +83,17 @@ def find_lines(threshold, direction='horizontal', scale=15, iterations=0): def find_table_contours(vertical, horizontal): + """ + + Parameters + ---------- + vertical + horizontal + + Returns + ------- + + """ mask = vertical + horizontal try: @@ -76,6 +113,18 @@ def find_table_contours(vertical, horizontal): def find_table_joints(contours, vertical, horizontal): + """ + + Parameters + ---------- + contours + vertical + horizontal + + Returns + ------- + + """ joints = np.bitwise_and(vertical, horizontal) tables = {} for c in contours: @@ -100,6 +149,17 @@ def find_table_joints(contours, vertical, horizontal): def remove_lines(threshold, line_scale=15): + """ + + Parameters + ---------- + threshold + line_scale + + Returns + ------- + + """ size = threshold.shape[0] // line_scale vertical_erode_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) horizontal_erode_el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1)) @@ -117,6 +177,17 @@ def remove_lines(threshold, line_scale=15): def find_cuts(threshold, char_scale=200): + """ + + Parameters + ---------- + threshold + char_scale + + Returns + ------- + + """ size = threshold.shape[0] // char_scale char_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) diff --git a/camelot/io.py b/camelot/io.py index c2b319b..54f8ef5 100644 --- a/camelot/io.py +++ b/camelot/io.py @@ -2,6 +2,19 @@ from .handlers import PDFHandler def read_pdf(filepath, pages='1', mesh=False, **kwargs): + """ + + Parameters + ---------- + filepath + pages + mesh + kwargs + + Returns + ------- + + """ # explicit type conversion p = PDFHandler(filepath, pages) tables, __ = p.parse(mesh=mesh, **kwargs) diff --git a/camelot/parsers.py b/camelot/parsers.py index 50bd8a5..c9b5d2a 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -32,6 +32,9 @@ copy_reg.pickle(types.MethodType, _reduce_method) class Stream: + """ + + """ def __init__(self, table_area=None, columns=None, ytol=[2], mtol=[0], margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, debug=False): @@ -134,6 +137,16 @@ class Stream: return cols def extract_tables(self, pdfname): + """ + + Parameters + ---------- + pdfname + + Returns + ------- + + """ layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, line_margin=self.line_margin, word_margin=self.word_margin) lttextlh = get_text_objects(layout, ltype="lh") @@ -265,6 +278,9 @@ class Stream: class Lattice: + """ + + """ def __init__(self, table_area=None, fill=None, mtol=[2], jtol=[2], blocksize=15, threshold_constant=-2, scale=15, iterations=0, invert=False, margins=(1.0, 0.5, 0.1), split_text=False, @@ -328,6 +344,16 @@ class Lattice: return t def extract_tables(self, pdfname): + """ + + Parameters + ---------- + pdfname + + Returns + ------- + + """ layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, line_margin=self.line_margin, word_margin=self.word_margin) lttextlh = get_text_objects(layout, ltype="lh") diff --git a/camelot/plot.py b/camelot/plot.py index 0b37ed9..793764e 100644 --- a/camelot/plot.py +++ b/camelot/plot.py @@ -6,6 +6,16 @@ from .handlers import PDFHandler def plot_geometry(filepath, pages='1', mesh=False, geometry_type='text', **kwargs): + """ + + Parameters + ---------- + filepath + pages + mesh + geometry_type + kwargs + """ # explicit type conversion p = PDFHandler(filepath, pages) kwargs.update({'debug': geometry_type}) diff --git a/camelot/utils.py b/camelot/utils.py index df82a8a..c6b1705 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -19,16 +19,52 @@ from pdfminer.layout import (LAParams, LTAnno, LTChar, LTTextLineHorizontal, def translate(x1, x2): + """ + + Parameters + ---------- + x1 + x2 + + Returns + ------- + + """ x2 += x1 return x2 def scale(x, s): + """ + + Parameters + ---------- + x + s + + Returns + ------- + + """ x *= s return x def rotate(x1, y1, x2, y2, angle): + """ + + Parameters + ---------- + x1 + y1 + x2 + y2 + angle + + Returns + ------- + + """ s = np.sin(angle) c = np.cos(angle) x2 = translate(-x1, x2) @@ -41,6 +77,17 @@ def rotate(x1, y1, x2, y2, angle): def scale_to_image(k, factors): + """ + + Parameters + ---------- + k + factors + + Returns + ------- + + """ x1, y1, x2, y2 = k scaling_factor_x, scaling_factor_y, pdf_y = factors x1 = scale(x1, scaling_factor_x) @@ -52,6 +99,19 @@ def scale_to_image(k, factors): def scale_to_pdf(tables, v_segments, h_segments, factors): + """ + + Parameters + ---------- + tables + v_segments + h_segments + factors + + Returns + ------- + + """ scaling_factor_x, scaling_factor_y, img_y = factors tables_new = {} for k in tables.keys(): @@ -84,6 +144,16 @@ def scale_to_pdf(tables, v_segments, h_segments, factors): def setup_logging(log_filepath): + """ + + Parameters + ---------- + log_filepath + + Returns + ------- + + """ logger = logging.getLogger("app_logger") logger.setLevel(logging.DEBUG) # Log File Handler (Associating one log file per webservice run) @@ -105,6 +175,18 @@ def setup_logging(log_filepath): def get_rotation(lttextlh, lttextlv, ltchar): + """ + + Parameters + ---------- + lttextlh + lttextlv + ltchar + + Returns + ------- + + """ rotation = '' hlen = len([t for t in lttextlh if t.get_text().strip()]) vlen = len([t for t in lttextlv if t.get_text().strip()]) @@ -116,6 +198,18 @@ def get_rotation(lttextlh, lttextlv, ltchar): def segments_bbox(bbox, v_segments, h_segments): + """ + + Parameters + ---------- + bbox + v_segments + h_segments + + Returns + ------- + + """ lb = (bbox[0], bbox[1]) rt = (bbox[2], bbox[3]) v_s = [v for v in v_segments if v[1] > lb[1] - 2 and @@ -126,6 +220,17 @@ def segments_bbox(bbox, v_segments, h_segments): def text_in_bbox(bbox, text): + """ + + Parameters + ---------- + bbox + text + + Returns + ------- + + """ lb = (bbox[0], bbox[1]) rt = (bbox[2], bbox[3]) t_bbox = [t for t in text if lb[0] - 2 <= (t.x0 + t.x1) / 2.0 @@ -135,6 +240,17 @@ def text_in_bbox(bbox, text): def remove_close_values(ar, mtol=2): + """ + + Parameters + ---------- + ar + mtol + + Returns + ------- + + """ ret = [] for a in ar: if not ret: @@ -149,6 +265,17 @@ def remove_close_values(ar, mtol=2): def merge_close_values(ar, mtol=2): + """ + + Parameters + ---------- + ar + mtol + + Returns + ------- + + """ ret = [] for a in ar: if not ret: @@ -164,6 +291,17 @@ def merge_close_values(ar, mtol=2): def flag_on_size(textline, direction): + """ + + Parameters + ---------- + textline + direction + + Returns + ------- + + """ if direction == 'horizontal': d = [(t.get_text(), np.round(t.height, decimals=6)) for t in textline if not isinstance(t, LTAnno)] elif direction == 'vertical': @@ -190,6 +328,19 @@ def flag_on_size(textline, direction): def split_textline(table, textline, direction, flag_size=True): + """ + + Parameters + ---------- + table + textline + direction + flag_size + + Returns + ------- + + """ idx = 0 cut_text = [] bbox = textline.bbox @@ -241,6 +392,20 @@ def split_textline(table, textline, direction, flag_size=True): def get_table_index(table, t, direction, split_text=False, flag_size=True): + """ + + Parameters + ---------- + table + t + direction + split_text + flag_size + + Returns + ------- + + """ r_idx, c_idx = [-1] * 2 for r in range(len(table.rows)): if ((t.y0 + t.y1) / 2.0 < table.rows[r][0] and @@ -284,6 +449,16 @@ def get_table_index(table, t, direction, split_text=False, flag_size=True): def compute_accuracy(error_weights): + """ + + Parameters + ---------- + error_weights + + Returns + ------- + + """ SCORE_VAL = 100 try: score = 0 @@ -299,6 +474,16 @@ def compute_accuracy(error_weights): def remove_empty(d): + """ + + Parameters + ---------- + d + + Returns + ------- + + """ for i, row in enumerate(d): if row == [''] * len(row): d.pop(i) @@ -309,6 +494,16 @@ def remove_empty(d): def count_empty(d): + """ + + Parameters + ---------- + d + + Returns + ------- + + """ empty_p = 0 r_nempty_cells, c_nempty_cells = [], [] for i in d: @@ -334,11 +529,33 @@ def count_empty(d): def encode_(ar): + """ + + Parameters + ---------- + ar + + Returns + ------- + + """ ar = [[r.encode('utf-8') for r in row] for row in ar] return ar def get_text_objects(layout, ltype="char", t=None): + """ + + Parameters + ---------- + layout + ltype + t + + Returns + ------- + + """ if ltype == "char": LTObject = LTChar elif ltype == "lh": @@ -360,6 +577,21 @@ def get_text_objects(layout, ltype="char", t=None): def get_page_layout(pname, char_margin=1.0, line_margin=0.5, word_margin=0.1, detect_vertical=True, all_texts=True): + """ + + Parameters + ---------- + pname + char_margin + line_margin + word_margin + detect_vertical + all_texts + + Returns + ------- + + """ with open(pname, 'r') as f: parser = PDFParser(f) document = PDFDocument(parser) @@ -383,6 +615,12 @@ def get_page_layout(pname, char_margin=1.0, line_margin=0.5, word_margin=0.1, def merge_tuples(tuples): + """ + + Parameters + ---------- + tuples + """ merged = list(tuples[0]) for s, e in tuples: if s <= merged[1]: From 96af09d9cd559212ca2081f9cdadbe3cf361eeca Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Thu, 6 Sep 2018 05:28:34 +0530 Subject: [PATCH 15/39] Add BaseParser and refactor extract_tables --- camelot/handlers.py | 2 +- camelot/parsers.py | 513 +++++++++++++++++++++++--------------------- camelot/utils.py | 6 +- 3 files changed, 268 insertions(+), 253 deletions(-) diff --git a/camelot/handlers.py b/camelot/handlers.py index c4bcfd8..f231d96 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -91,8 +91,8 @@ class PDFHandler(object): for p in self.pages] tables = [] geometry = [] - parser = Stream(**kwargs) if not mesh else Lattice(**kwargs) for p in pages: + parser = Stream(**kwargs) if not mesh else Lattice(**kwargs) t, g = parser.extract_tables(p) tables.extend(t) geometry.append(g) diff --git a/camelot/parsers.py b/camelot/parsers.py index c9b5d2a..ac9216e 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -14,7 +14,7 @@ import pandas as pd from .core import Table, Geometry from .image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) -from .utils import (scale_to_pdf, scale_to_image, segments_bbox, text_in_bbox, +from .utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, merge_close_values, get_table_index, compute_accuracy, count_empty, get_text_objects, get_page_layout, encode_) @@ -31,17 +31,40 @@ def _reduce_method(m): copy_reg.pickle(types.MethodType, _reduce_method) -class Stream: +class BaseParser(object): + # init objects + # no tables condition + # convert pdf to image - lattice + # image processing - lattice + # user given table area condition + # scale image components to pdf components - lattice + # compute cols and rows for each table + # create table for each table + + def _generate_layout(self, filename): + self.filename = filename + self.layout, self.dimensions = get_page_layout( + self.filename, + char_margin=self.char_margin, + line_margin=self.line_margin, + word_margin=self.word_margin) + self.horizontal_text = get_text_objects(self.layout, ltype="lh") + self.vertical_text = get_text_objects(self.layout, ltype="lv") + self.pdf_width, self.pdf_height = self.dimensions + self.basename, __ = os.path.splitext(self.filename) + self.g = Geometry() + + +class Stream(BaseParser): """ """ - def __init__(self, table_area=None, columns=None, ytol=[2], mtol=[0], + def __init__(self, table_area=None, columns=None, ytol=2, mtol=0, margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, debug=False): - - self.method = 'stream' self.table_area = table_area self.columns = columns + self._validate_columns() self.ytol = ytol self.mtol = mtol self.char_margin, self.line_margin, self.word_margin = margins @@ -49,6 +72,12 @@ class Stream: self.flag_size = flag_size self.debug = debug + def _validate_columns(self): + if self.table_area is not None and self.columns is not None: + if len(self.table_area) != len(self.columns): + raise ValueError("Length of table_area and columns" + " should be equal.") + @staticmethod def _text_bbox(t_bbox): xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) @@ -136,43 +165,8 @@ class Stream: for i in range(0, len(cols) - 1)] return cols - def extract_tables(self, pdfname): - """ - - Parameters - ---------- - pdfname - - Returns - ------- - - """ - layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, - line_margin=self.line_margin, word_margin=self.word_margin) - lttextlh = get_text_objects(layout, ltype="lh") - lttextlv = get_text_objects(layout, ltype="lv") - ltchar = get_text_objects(layout, ltype="char") - width, height = dim - bname, __ = os.path.splitext(pdfname) - logger.info('Processing {0}.'.format(os.path.basename(bname))) - if not lttextlh: - warnings.warn("{0}: Page contains no text.".format( - os.path.basename(bname))) - return {os.path.basename(bname): None} - - g = Geometry() - if self.debug: - text = [] - text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlh]) - text.extend([(t.x0, t.y0, t.x1, t.y1) for t in lttextlv]) - g.text = text - + def _generate_table_bbox(self): if self.table_area is not None: - if self.columns is not None: - if len(self.table_area) != len(self.columns): - raise ValueError("{0}: Length of table area and columns" - " should be equal.".format(os.path.basename(bname))) - table_bbox = {} for area in self.table_area: x1, y1, x2, y2 = area.split(",") @@ -182,111 +176,133 @@ class Stream: y2 = float(y2) table_bbox[(x1, y2, x2, y1)] = None else: - table_bbox = {(0, 0, width, height): None} + table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None} + self.table_bbox = table_bbox - if len(self.ytol) == 1 and self.ytol[0] == 2: - ytolerance = copy.deepcopy(self.ytol) * len(table_bbox) - else: - ytolerance = copy.deepcopy(self.ytol) + def _generate_columns_and_rows(self, table_idx, tk): + # select elements which lie within table_bbox + t_bbox = {} + t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) + t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) + self.t_bbox = t_bbox - if len(self.mtol) == 1 and self.mtol[0] == 0: - mtolerance = copy.deepcopy(self.mtol) * len(table_bbox) + for direction in self.t_bbox: + self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) + + text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox) + rows_grouped = self._group_rows(self.t_bbox['horizontal'], ytol=self.ytol) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) + elements = [len(r) for r in rows_grouped] + + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + cols = self.columns[table_idx].split(',') + cols = [float(c) for c in cols] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] else: - mtolerance = copy.deepcopy(self.mtol) + ncols = max(set(elements), key=elements.count) + if ncols == 1: + # no tables condition + warnings.warn("No tables found on {}".format( + os.path.basename(self.basename))) + cols = [(t.x0, t.x1) + for r in rows_grouped if len(r) == ncols for t in r] + cols = self._merge_columns(sorted(cols), mtol=self.mtol) + inner_text = [] + for i in range(1, len(cols)): + left = cols[i - 1][1] + right = cols[i][0] + inner_text.extend([t for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > left and t.x1 < right]) + outer_text = [t for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] + inner_text.extend(outer_text) + cols = self._add_columns(cols, inner_text, self.ytol) + cols = self._join_columns(cols, text_x_min, text_x_max) + + return cols, rows + + def _generate_table(self, table_idx, cols, rows): + table = Table(cols, rows) + table = table.set_all_edges() + pos_errors = [] + for direction in self.t_bbox: + for t in self.t_bbox[direction]: + indices, error = get_table_index( + table, t, direction, split_text=self.split_text, + flag_size=self.flag_size) + if indices[:2] != (-1, -1): + pos_errors.append(error) + for r_idx, c_idx, text in indices: + table.cells[r_idx][c_idx].add_text(text) + accuracy = compute_accuracy([[100, pos_errors]]) + + data = table.data + data = encode_(data) + table.df = pd.DataFrame(data) + table.shape = table.df.shape + + whitespace, __, __ = count_empty(data) + table.accuracy = accuracy + table.whitespace = whitespace + table.order = table_idx + 1 + table.page = int(os.path.basename(self.basename).replace('page-', '')) + + return table + + def extract_tables(self, filename): + """ + + Parameters + ---------- + filename + + Returns + ------- + + """ + logger.info('Processing {}'.format(os.path.basename(filename))) + self._generate_layout(filename) + + if not self.horizontal_text: + warnings.warn("No tables found on {}".format( + os.path.basename(self.basename))) + return [], self.g + + if self.debug: + text = [] + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) + self.g.text = text + + self._generate_table_bbox() _tables = [] # sort tables based on y-coord - for table_no, k in enumerate(sorted(table_bbox.keys(), key=lambda x: x[1], reverse=True)): - # select elements which lie within table_bbox - t_bbox = {} - t_bbox['horizontal'] = text_in_bbox(k, lttextlh) - t_bbox['vertical'] = text_in_bbox(k, lttextlv) - for direction in t_bbox: - t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) - text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(t_bbox) - rows_grouped = self._group_rows(t_bbox['horizontal'], ytol=ytolerance[table_no]) - rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - elements = [len(r) for r in rows_grouped] - - guess = False - if self.columns is not None and self.columns[table_no] != "": - # user has to input boundary columns too - # take (0, width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_no].split(',') - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - else: - guess = True - ncols = max(set(elements), key=elements.count) - len_non_mode = len(filter(lambda x: x != ncols, elements)) - if ncols == 1: - # no tables detected - warnings.warn("{0}: Page contains no tables.".format( - os.path.basename(bname))) - cols = [(t.x0, t.x1) - for r in rows_grouped if len(r) == ncols for t in r] - cols = self._merge_columns(sorted(cols), mtol=mtolerance[table_no]) - inner_text = [] - for i in range(1, len(cols)): - left = cols[i - 1][1] - right = cols[i][0] - inner_text.extend([t for direction in t_bbox - for t in t_bbox[direction] - if t.x0 > left and t.x1 < right]) - outer_text = [t for direction in t_bbox - for t in t_bbox[direction] - if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] - inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, ytolerance[table_no]) - cols = self._join_columns(cols, text_x_min, text_x_max) - - table = Table(cols, rows) - table = table.set_all_edges() - pos_errors = [] - for direction in t_bbox: - for t in t_bbox[direction]: - indices, error = get_table_index( - table, t, direction, split_text=self.split_text, - flag_size=self.flag_size) - if indices[:2] != (-1, -1): - pos_errors.append(error) - for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].add_text(text) - if guess: - accuracy = compute_accuracy([[66, pos_errors], [34, [len_non_mode / len(elements)]]]) - else: - accuracy = compute_accuracy([[100, pos_errors]]) - - data = table.data - data = encode_(data) - table.df = pd.DataFrame(data) - table.shape = table.df.shape - - whitespace, __, __ = count_empty(data) - table.accuracy = accuracy - table.whitespace = whitespace - table.order = table_no + 1 - table.page = int(os.path.basename(bname).replace('page-', '')) - + for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), + key=lambda x: x[1], reverse=True)): + cols, rows = self._generate_columns_and_rows(table_idx, tk) + table = self._generate_table(table_idx, cols, rows) _tables.append(table) - return _tables, g + return _tables, self.g -class Lattice: +class Lattice(BaseParser): """ """ - def __init__(self, table_area=None, fill=None, mtol=[2], jtol=[2], + def __init__(self, table_area=None, fill=None, mtol=2, jtol=2, blocksize=15, threshold_constant=-2, scale=15, iterations=0, invert=False, margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, shift_text=['l', 't'], debug=None): - - self.method = 'lattice' self.table_area = table_area self.fill = fill self.mtol = mtol @@ -326,7 +342,7 @@ class Lattice: indices.append((r_idx, c_idx, text)) return indices - + @staticmethod def _fill_spanning(t, fill=None): for f in fill: if f == "h": @@ -343,33 +359,10 @@ class Lattice: t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) return t - def extract_tables(self, pdfname): - """ - - Parameters - ---------- - pdfname - - Returns - ------- - - """ - layout, dim = get_page_layout(pdfname, char_margin=self.char_margin, - line_margin=self.line_margin, word_margin=self.word_margin) - lttextlh = get_text_objects(layout, ltype="lh") - lttextlv = get_text_objects(layout, ltype="lv") - ltchar = get_text_objects(layout, ltype="char") - width, height = dim - bname, __ = os.path.splitext(pdfname) - logger.info('Processing {0}.'.format(os.path.basename(bname))) - if not ltchar: - warnings.warn("{0}: Page contains no text.".format( - os.path.basename(bname))) - return {os.path.basename(bname): None} - - imagename = ''.join([bname, '.png']) + def _generate_image(self): + self.imagename = ''.join([self.basename, '.png']) gs_call = [ - "-q", "-sDEVICE=png16m", "-o", imagename, "-r600", pdfname + "-q", "-sDEVICE=png16m", "-o", self.imagename, "-r600", self.filename ] if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): gs_call.insert(0, "gs") @@ -378,23 +371,22 @@ class Lattice: subprocess.call(gs_call, stdout=open(os.devnull, 'w'), stderr=subprocess.STDOUT) - img, threshold = adaptive_threshold(imagename, invert=self.invert, + def _generate_table_bbox(self): + self.image, self.threshold = adaptive_threshold(self.imagename, invert=self.invert, blocksize=self.blocksize, c=self.threshold_constant) - pdf_x = width - pdf_y = height - img_x = img.shape[1] - img_y = img.shape[0] - sc_x_image = img_x / float(pdf_x) - sc_y_image = img_y / float(pdf_y) - sc_x_pdf = pdf_x / float(img_x) - sc_y_pdf = pdf_y / float(img_y) - factors_image = (sc_x_image, sc_y_image, pdf_y) - factors_pdf = (sc_x_pdf, sc_y_pdf, img_y) + image_width = self.image.shape[1] + image_height = self.image.shape[0] + image_width_scaler = image_width / float(self.pdf_width) + image_height_scaler = image_height / float(self.pdf_height) + pdf_width_scaler = self.pdf_width / float(image_width) + pdf_height_scaler = self.pdf_height / float(image_height) + image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height) + pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height) - vmask, v_segments = find_lines(threshold, direction='vertical', - scale=self.scale, iterations=self.iterations) - hmask, h_segments = find_lines(threshold, direction='horizontal', - scale=self.scale, iterations=self.iterations) + vertical_mask, vertical_segments = find_lines(self.threshold, + direction='vertical', scale=self.scale, iterations=self.iterations) + horizontal_mask, horizontal_segments = find_lines(self.threshold, + direction='horizontal', scale=self.scale, iterations=self.iterations) if self.table_area is not None: areas = [] @@ -404,95 +396,118 @@ class Lattice: y1 = float(y1) x2 = float(x2) y2 = float(y2) - x1, y1, x2, y2 = scale_to_image((x1, y1, x2, y2), factors_image) + x1, y1, x2, y2 = scale_pdf((x1, y1, x2, y2), image_scalers) areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) - table_bbox = find_table_joints(areas, vmask, hmask) + table_bbox = find_table_joints(areas, vertical_mask, horizontal_mask) else: - contours = find_table_contours(vmask, hmask) - table_bbox = find_table_joints(contours, vmask, hmask) + contours = find_table_contours(vertical_mask, horizontal_mask) + table_bbox = find_table_joints(contours, vertical_mask, horizontal_mask) - if len(self.mtol) == 1 and self.mtol[0] == 2: - mtolerance = copy.deepcopy(self.mtol) * len(table_bbox) - else: - mtolerance = copy.deepcopy(self.mtol) + self.table_bbox_unscaled = copy.deepcopy(table_bbox) - if len(self.jtol) == 1 and self.jtol[0] == 2: - jtolerance = copy.deepcopy(self.jtol) * len(table_bbox) - else: - jtolerance = copy.deepcopy(self.jtol) + self.table_bbox, self.vertical_segments, self.horizontal_segments = scale_image( + table_bbox, vertical_segments, horizontal_segments, pdf_scalers) - g = Geometry() - if self.debug: - g.images = (img, table_bbox) + def _generate_columns_and_rows(self, table_idx, tk): + # select elements which lie within table_bbox + t_bbox = {} + v_s, h_s = segments_in_bbox( + tk, self.vertical_segments, self.horizontal_segments) + t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) + t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) + self.t_bbox = t_bbox - table_bbox, v_segments, h_segments = scale_to_pdf(table_bbox, v_segments, - h_segments, factors_pdf) + for direction in t_bbox: + t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) + + cols, rows = zip(*self.table_bbox[tk]) + cols, rows = list(cols), list(rows) + cols.extend([tk[0], tk[2]]) + rows.extend([tk[1], tk[3]]) + # sort horizontal and vertical segments + cols = merge_close_values(sorted(cols), mtol=self.mtol) + rows = merge_close_values(sorted(rows, reverse=True), mtol=self.mtol) + # make grid using x and y coord of shortlisted rows and cols + cols = [(cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1)] + rows = [(rows[i], rows[i + 1]) + for i in range(0, len(rows) - 1)] + + return cols, rows, v_s, h_s + + def _generate_table(self, table_idx, cols, rows, v_s, h_s): + table = Table(cols, rows) + # set table edges to True using ver+hor lines + table = table.set_edges(v_s, h_s, jtol=self.jtol) + # set spanning cells to True + table = table.set_spanning() + # set table border edges to True + table = table.set_border_edges() + + pos_errors = [] + for direction in self.t_bbox: + for t in self.t_bbox[direction]: + indices, error = get_table_index( + table, t, direction, split_text=self.split_text, + flag_size=self.flag_size) + if indices[:2] != (-1, -1): + pos_errors.append(error) + indices = Lattice._reduce_index(table, indices, shift_text=self.shift_text) + for r_idx, c_idx, text in indices: + table.cells[r_idx][c_idx].add_text(text) + accuracy = compute_accuracy([[100, pos_errors]]) + + if self.fill is not None: + table = Lattice._fill_spanning(table, fill=self.fill) + + data = table.data + data = encode_(data) + table.df = pd.DataFrame(data) + table.shape = table.df.shape + + whitespace, __, __ = count_empty(data) + table.accuracy = accuracy + table.whitespace = whitespace + table.order = table_idx + 1 + table.page = int(os.path.basename(self.basename).replace('page-', '')) + + return table + + def extract_tables(self, filename): + """ + + Parameters + ---------- + filename + + Returns + ------- + + """ + logger.info('Processing {}'.format(os.path.basename(filename))) + self._generate_layout(filename) + + if not self.horizontal_text: + warnings.warn("No tables found on {}".format( + os.path.basename(self.basename))) + return [], self.g + + self._generate_image() + self._generate_table_bbox() if self.debug: - g.segments = (v_segments, h_segments) + self.g.images = (self.image, self.table_bbox_unscaled) + self.g.segments = (self.vertical_segments, self.horizontal_segments) _tables = [] # sort tables based on y-coord - for table_no, k in enumerate(sorted(table_bbox.keys(), key=lambda x: x[1], reverse=True)): - # select elements which lie within table_bbox - t_bbox = {} - v_s, h_s = segments_bbox(k, v_segments, h_segments) - t_bbox['horizontal'] = text_in_bbox(k, lttextlh) - t_bbox['vertical'] = text_in_bbox(k, lttextlv) - for direction in t_bbox: - t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) - cols, rows = zip(*table_bbox[k]) - cols, rows = list(cols), list(rows) - cols.extend([k[0], k[2]]) - rows.extend([k[1], k[3]]) - # sort horizontal and vertical segments - cols = merge_close_values(sorted(cols), mtol=mtolerance[table_no]) - rows = merge_close_values( - sorted(rows, reverse=True), mtol=mtolerance[table_no]) - # make grid using x and y coord of shortlisted rows and cols - cols = [(cols[i], cols[i + 1]) - for i in range(0, len(cols) - 1)] - rows = [(rows[i], rows[i + 1]) - for i in range(0, len(rows) - 1)] - - table = Table(cols, rows) - # set table edges to True using ver+hor lines - table = table.set_edges(v_s, h_s, jtol=jtolerance[table_no]) - # set spanning cells to True - table = table.set_spanning() - # set table border edges to True - table = table.set_border_edges() - - pos_errors = [] - for direction in ['vertical', 'horizontal']: - for t in t_bbox[direction]: - indices, error = get_table_index( - table, t, direction, split_text=self.split_text, - flag_size=self.flag_size) - if indices[:2] != (-1, -1): - pos_errors.append(error) - indices = self._reduce_index(table, indices, shift_text=self.shift_text) - for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].add_text(text) - accuracy = compute_accuracy([[100, pos_errors]]) - - if self.fill is not None: - table = self._fill_spanning(table, fill=self.fill) - - data = table.data - data = encode_(data) - table.df = pd.DataFrame(data) - table.shape = table.df.shape - - whitespace, __, __ = count_empty(data) - table.accuracy = accuracy - table.whitespace = whitespace - table.order = table_no + 1 - table.page = int(os.path.basename(bname).replace('page-', '')) - + for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), + key=lambda x: x[1], reverse=True)): + cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk) + table = self._generate_table(table_idx, cols, rows, v_s, h_s) _tables.append(table) if self.debug: - g.tables = _tables + self.g.tables = _tables - return _tables, g \ No newline at end of file + return _tables, self.g \ No newline at end of file diff --git a/camelot/utils.py b/camelot/utils.py index c6b1705..6ec04af 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -76,7 +76,7 @@ def rotate(x1, y1, x2, y2, angle): return xnew, ynew -def scale_to_image(k, factors): +def scale_pdf(k, factors): """ Parameters @@ -98,7 +98,7 @@ def scale_to_image(k, factors): return knew -def scale_to_pdf(tables, v_segments, h_segments, factors): +def scale_image(tables, v_segments, h_segments, factors): """ Parameters @@ -197,7 +197,7 @@ def get_rotation(lttextlh, lttextlv, ltchar): return rotation -def segments_bbox(bbox, v_segments, h_segments): +def segments_in_bbox(bbox, v_segments, h_segments): """ Parameters From d0005101a782c61a30f9728616049ef72f316a70 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Thu, 6 Sep 2018 05:55:05 +0530 Subject: [PATCH 16/39] Add BaseParser docstring stub --- camelot/handlers.py | 2 +- camelot/parsers.py | 39 ++++++++++++++++++--------------------- 2 files changed, 19 insertions(+), 22 deletions(-) diff --git a/camelot/handlers.py b/camelot/handlers.py index f231d96..c4bcfd8 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -91,8 +91,8 @@ class PDFHandler(object): for p in self.pages] tables = [] geometry = [] + parser = Stream(**kwargs) if not mesh else Lattice(**kwargs) for p in pages: - parser = Stream(**kwargs) if not mesh else Lattice(**kwargs) t, g = parser.extract_tables(p) tables.extend(t) geometry.append(g) diff --git a/camelot/parsers.py b/camelot/parsers.py index ac9216e..d45c441 100644 --- a/camelot/parsers.py +++ b/camelot/parsers.py @@ -32,15 +32,9 @@ copy_reg.pickle(types.MethodType, _reduce_method) class BaseParser(object): - # init objects - # no tables condition - # convert pdf to image - lattice - # image processing - lattice - # user given table area condition - # scale image components to pdf components - lattice - # compute cols and rows for each table - # create table for each table + """ + """ def _generate_layout(self, filename): self.filename = filename self.layout, self.dimensions = get_page_layout( @@ -229,7 +223,7 @@ class Stream(BaseParser): return cols, rows - def _generate_table(self, table_idx, cols, rows): + def _generate_table(self, table_idx, cols, rows, **kwargs): table = Table(cols, rows) table = table.set_all_edges() pos_errors = [] @@ -276,12 +270,6 @@ class Stream(BaseParser): os.path.basename(self.basename))) return [], self.g - if self.debug: - text = [] - text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) - text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) - self.g.text = text - self._generate_table_bbox() _tables = [] @@ -292,6 +280,12 @@ class Stream(BaseParser): table = self._generate_table(table_idx, cols, rows) _tables.append(table) + if self.debug: + text = [] + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) + self.g.text = text + return _tables, self.g @@ -435,7 +429,12 @@ class Lattice(BaseParser): return cols, rows, v_s, h_s - def _generate_table(self, table_idx, cols, rows, v_s, h_s): + def _generate_table(self, table_idx, cols, rows, **kwargs): + v_s = kwargs.get('v_s') + h_s = kwargs.get('h_s') + if v_s is None or h_s is None: + raise ValueError('No segments found on {}'.format(self.basename)) + table = Table(cols, rows) # set table edges to True using ver+hor lines table = table.set_edges(v_s, h_s, jtol=self.jtol) @@ -495,19 +494,17 @@ class Lattice(BaseParser): self._generate_image() self._generate_table_bbox() - if self.debug: - self.g.images = (self.image, self.table_bbox_unscaled) - self.g.segments = (self.vertical_segments, self.horizontal_segments) - _tables = [] # sort tables based on y-coord for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True)): cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk) - table = self._generate_table(table_idx, cols, rows, v_s, h_s) + table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s) _tables.append(table) if self.debug: + self.g.images = (self.image, self.table_bbox_unscaled) + self.g.segments = (self.vertical_segments, self.horizontal_segments) self.g.tables = _tables return _tables, self.g \ No newline at end of file From b91df8a1b8b7a42fb1aa9fc17fd1f76bfb8346c1 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Thu, 6 Sep 2018 06:13:58 +0530 Subject: [PATCH 17/39] Create parsers module --- camelot/parsers.py | 510 ------------------------------------ camelot/parsers/__init__.py | 2 + camelot/parsers/base.py | 20 ++ camelot/parsers/lattice.py | 244 +++++++++++++++++ camelot/parsers/stream.py | 260 ++++++++++++++++++ camelot/utils.py | 2 +- 6 files changed, 527 insertions(+), 511 deletions(-) delete mode 100644 camelot/parsers.py create mode 100644 camelot/parsers/__init__.py create mode 100644 camelot/parsers/base.py create mode 100644 camelot/parsers/lattice.py create mode 100644 camelot/parsers/stream.py diff --git a/camelot/parsers.py b/camelot/parsers.py deleted file mode 100644 index d45c441..0000000 --- a/camelot/parsers.py +++ /dev/null @@ -1,510 +0,0 @@ -from __future__ import division -import os -import sys -import copy -import types -import logging -import copy_reg -import warnings -import subprocess - -import numpy as np -import pandas as pd - -from .core import Table, Geometry -from .image_processing import (adaptive_threshold, find_lines, find_table_contours, - find_table_joints) -from .utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, - merge_close_values, get_table_index, compute_accuracy, count_empty, - get_text_objects, get_page_layout, encode_) - - -__all__ = ['Stream', 'Lattice'] -logger = logging.getLogger('app_logger') - - -def _reduce_method(m): - if m.im_self is None: - return getattr, (m.im_class, m.im_func.func_name) - else: - return getattr, (m.im_self, m.im_func.func_name) -copy_reg.pickle(types.MethodType, _reduce_method) - - -class BaseParser(object): - """ - - """ - def _generate_layout(self, filename): - self.filename = filename - self.layout, self.dimensions = get_page_layout( - self.filename, - char_margin=self.char_margin, - line_margin=self.line_margin, - word_margin=self.word_margin) - self.horizontal_text = get_text_objects(self.layout, ltype="lh") - self.vertical_text = get_text_objects(self.layout, ltype="lv") - self.pdf_width, self.pdf_height = self.dimensions - self.basename, __ = os.path.splitext(self.filename) - self.g = Geometry() - - -class Stream(BaseParser): - """ - - """ - def __init__(self, table_area=None, columns=None, ytol=2, mtol=0, - margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, - debug=False): - self.table_area = table_area - self.columns = columns - self._validate_columns() - self.ytol = ytol - self.mtol = mtol - self.char_margin, self.line_margin, self.word_margin = margins - self.split_text = split_text - self.flag_size = flag_size - self.debug = debug - - def _validate_columns(self): - if self.table_area is not None and self.columns is not None: - if len(self.table_area) != len(self.columns): - raise ValueError("Length of table_area and columns" - " should be equal.") - - @staticmethod - def _text_bbox(t_bbox): - xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) - ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]]) - xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]]) - ymax = max([t.y1 for direction in t_bbox for t in t_bbox[direction]]) - text_bbox = (xmin, ymin, xmax, ymax) - return text_bbox - - @staticmethod - def _group_rows(text, ytol=2): - row_y = 0 - rows = [] - temp = [] - for t in text: - # is checking for upright necessary? - # if t.get_text().strip() and all([obj.upright for obj in t._objs if - # type(obj) is LTChar]): - if t.get_text().strip(): - if not np.isclose(row_y, t.y0, atol=ytol): - rows.append(sorted(temp, key=lambda t: t.x0)) - temp = [] - row_y = t.y0 - temp.append(t) - rows.append(sorted(temp, key=lambda t: t.x0)) - __ = rows.pop(0) # hacky - return rows - - @staticmethod - def _merge_columns(l, mtol=0): - merged = [] - for higher in l: - if not merged: - merged.append(higher) - else: - lower = merged[-1] - if mtol >= 0: - if (higher[0] <= lower[1] or - np.isclose(higher[0], lower[1], atol=mtol)): - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - elif mtol < 0: - if higher[0] <= lower[1]: - if np.isclose(higher[0], lower[1], atol=abs(mtol)): - merged.append(higher) - else: - upper_bound = max(lower[1], higher[1]) - lower_bound = min(lower[0], higher[0]) - merged[-1] = (lower_bound, upper_bound) - else: - merged.append(higher) - return merged - - @staticmethod - def _join_rows(rows_grouped, text_y_max, text_y_min): - row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) - if len(r) > 0 else 0 for r in rows_grouped] - rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] - rows.insert(0, text_y_max) - rows.append(text_y_min) - rows = [(rows[i], rows[i + 1]) - for i in range(0, len(rows) - 1)] - return rows - - @staticmethod - def _add_columns(cols, text, ytol): - if text: - text = Stream._group_rows(text, ytol=ytol) - elements = [len(r) for r in text] - new_cols = [(t.x0, t.x1) - for r in text if len(r) == max(elements) for t in r] - cols.extend(Stream._merge_columns(sorted(new_cols))) - return cols - - @staticmethod - def _join_columns(cols, text_x_min, text_x_max): - cols = sorted(cols) - cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) - for i in range(0, len(cols) - 1)] - return cols - - def _generate_table_bbox(self): - if self.table_area is not None: - table_bbox = {} - for area in self.table_area: - x1, y1, x2, y2 = area.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) - table_bbox[(x1, y2, x2, y1)] = None - else: - table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None} - self.table_bbox = table_bbox - - def _generate_columns_and_rows(self, table_idx, tk): - # select elements which lie within table_bbox - t_bbox = {} - t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) - t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) - self.t_bbox = t_bbox - - for direction in self.t_bbox: - self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) - - text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox) - rows_grouped = self._group_rows(self.t_bbox['horizontal'], ytol=self.ytol) - rows = self._join_rows(rows_grouped, text_y_max, text_y_min) - elements = [len(r) for r in rows_grouped] - - if self.columns is not None and self.columns[table_idx] != "": - # user has to input boundary columns too - # take (0, pdf_width) by default - # similar to else condition - # len can't be 1 - cols = self.columns[table_idx].split(',') - cols = [float(c) for c in cols] - cols.insert(0, text_x_min) - cols.append(text_x_max) - cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] - else: - ncols = max(set(elements), key=elements.count) - if ncols == 1: - # no tables condition - warnings.warn("No tables found on {}".format( - os.path.basename(self.basename))) - cols = [(t.x0, t.x1) - for r in rows_grouped if len(r) == ncols for t in r] - cols = self._merge_columns(sorted(cols), mtol=self.mtol) - inner_text = [] - for i in range(1, len(cols)): - left = cols[i - 1][1] - right = cols[i][0] - inner_text.extend([t for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > left and t.x1 < right]) - outer_text = [t for direction in self.t_bbox - for t in self.t_bbox[direction] - if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] - inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, self.ytol) - cols = self._join_columns(cols, text_x_min, text_x_max) - - return cols, rows - - def _generate_table(self, table_idx, cols, rows, **kwargs): - table = Table(cols, rows) - table = table.set_all_edges() - pos_errors = [] - for direction in self.t_bbox: - for t in self.t_bbox[direction]: - indices, error = get_table_index( - table, t, direction, split_text=self.split_text, - flag_size=self.flag_size) - if indices[:2] != (-1, -1): - pos_errors.append(error) - for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].add_text(text) - accuracy = compute_accuracy([[100, pos_errors]]) - - data = table.data - data = encode_(data) - table.df = pd.DataFrame(data) - table.shape = table.df.shape - - whitespace, __, __ = count_empty(data) - table.accuracy = accuracy - table.whitespace = whitespace - table.order = table_idx + 1 - table.page = int(os.path.basename(self.basename).replace('page-', '')) - - return table - - def extract_tables(self, filename): - """ - - Parameters - ---------- - filename - - Returns - ------- - - """ - logger.info('Processing {}'.format(os.path.basename(filename))) - self._generate_layout(filename) - - if not self.horizontal_text: - warnings.warn("No tables found on {}".format( - os.path.basename(self.basename))) - return [], self.g - - self._generate_table_bbox() - - _tables = [] - # sort tables based on y-coord - for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), - key=lambda x: x[1], reverse=True)): - cols, rows = self._generate_columns_and_rows(table_idx, tk) - table = self._generate_table(table_idx, cols, rows) - _tables.append(table) - - if self.debug: - text = [] - text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) - text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) - self.g.text = text - - return _tables, self.g - - -class Lattice(BaseParser): - """ - - """ - def __init__(self, table_area=None, fill=None, mtol=2, jtol=2, - blocksize=15, threshold_constant=-2, scale=15, iterations=0, - invert=False, margins=(1.0, 0.5, 0.1), split_text=False, - flag_size=True, shift_text=['l', 't'], debug=None): - self.table_area = table_area - self.fill = fill - self.mtol = mtol - self.jtol = jtol - self.blocksize = blocksize - self.threshold_constant = threshold_constant - self.scale = scale - self.iterations = iterations - self.invert = invert - self.char_margin, self.line_margin, self.word_margin = margins - self.split_text = split_text - self.flag_size = flag_size - self.shift_text = shift_text - self.debug = debug - - @staticmethod - def _reduce_index(t, idx, shift_text): - indices = [] - for r_idx, c_idx, text in idx: - for d in shift_text: - if d == 'l': - if t.cells[r_idx][c_idx].spanning_h: - while not t.cells[r_idx][c_idx].left: - c_idx -= 1 - if d == 'r': - if t.cells[r_idx][c_idx].spanning_h: - while not t.cells[r_idx][c_idx].right: - c_idx += 1 - if d == 't': - if t.cells[r_idx][c_idx].spanning_v: - while not t.cells[r_idx][c_idx].top: - r_idx -= 1 - if d == 'b': - if t.cells[r_idx][c_idx].spanning_v: - while not t.cells[r_idx][c_idx].bottom: - r_idx += 1 - indices.append((r_idx, c_idx, text)) - return indices - - @staticmethod - def _fill_spanning(t, fill=None): - for f in fill: - if f == "h": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_h and not t.cells[i][j].left: - t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) - elif f == "v": - for i in range(len(t.cells)): - for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_v and not t.cells[i][j].top: - t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) - return t - - def _generate_image(self): - self.imagename = ''.join([self.basename, '.png']) - gs_call = [ - "-q", "-sDEVICE=png16m", "-o", self.imagename, "-r600", self.filename - ] - if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): - gs_call.insert(0, "gs") - else: - gs_call.insert(0, "gsc") - subprocess.call(gs_call, stdout=open(os.devnull, 'w'), - stderr=subprocess.STDOUT) - - def _generate_table_bbox(self): - self.image, self.threshold = adaptive_threshold(self.imagename, invert=self.invert, - blocksize=self.blocksize, c=self.threshold_constant) - image_width = self.image.shape[1] - image_height = self.image.shape[0] - image_width_scaler = image_width / float(self.pdf_width) - image_height_scaler = image_height / float(self.pdf_height) - pdf_width_scaler = self.pdf_width / float(image_width) - pdf_height_scaler = self.pdf_height / float(image_height) - image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height) - pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height) - - vertical_mask, vertical_segments = find_lines(self.threshold, - direction='vertical', scale=self.scale, iterations=self.iterations) - horizontal_mask, horizontal_segments = find_lines(self.threshold, - direction='horizontal', scale=self.scale, iterations=self.iterations) - - if self.table_area is not None: - areas = [] - for area in self.table_area: - x1, y1, x2, y2 = area.split(",") - x1 = float(x1) - y1 = float(y1) - x2 = float(x2) - y2 = float(y2) - x1, y1, x2, y2 = scale_pdf((x1, y1, x2, y2), image_scalers) - areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) - table_bbox = find_table_joints(areas, vertical_mask, horizontal_mask) - else: - contours = find_table_contours(vertical_mask, horizontal_mask) - table_bbox = find_table_joints(contours, vertical_mask, horizontal_mask) - - self.table_bbox_unscaled = copy.deepcopy(table_bbox) - - self.table_bbox, self.vertical_segments, self.horizontal_segments = scale_image( - table_bbox, vertical_segments, horizontal_segments, pdf_scalers) - - def _generate_columns_and_rows(self, table_idx, tk): - # select elements which lie within table_bbox - t_bbox = {} - v_s, h_s = segments_in_bbox( - tk, self.vertical_segments, self.horizontal_segments) - t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) - t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) - self.t_bbox = t_bbox - - for direction in t_bbox: - t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) - - cols, rows = zip(*self.table_bbox[tk]) - cols, rows = list(cols), list(rows) - cols.extend([tk[0], tk[2]]) - rows.extend([tk[1], tk[3]]) - # sort horizontal and vertical segments - cols = merge_close_values(sorted(cols), mtol=self.mtol) - rows = merge_close_values(sorted(rows, reverse=True), mtol=self.mtol) - # make grid using x and y coord of shortlisted rows and cols - cols = [(cols[i], cols[i + 1]) - for i in range(0, len(cols) - 1)] - rows = [(rows[i], rows[i + 1]) - for i in range(0, len(rows) - 1)] - - return cols, rows, v_s, h_s - - def _generate_table(self, table_idx, cols, rows, **kwargs): - v_s = kwargs.get('v_s') - h_s = kwargs.get('h_s') - if v_s is None or h_s is None: - raise ValueError('No segments found on {}'.format(self.basename)) - - table = Table(cols, rows) - # set table edges to True using ver+hor lines - table = table.set_edges(v_s, h_s, jtol=self.jtol) - # set spanning cells to True - table = table.set_spanning() - # set table border edges to True - table = table.set_border_edges() - - pos_errors = [] - for direction in self.t_bbox: - for t in self.t_bbox[direction]: - indices, error = get_table_index( - table, t, direction, split_text=self.split_text, - flag_size=self.flag_size) - if indices[:2] != (-1, -1): - pos_errors.append(error) - indices = Lattice._reduce_index(table, indices, shift_text=self.shift_text) - for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].add_text(text) - accuracy = compute_accuracy([[100, pos_errors]]) - - if self.fill is not None: - table = Lattice._fill_spanning(table, fill=self.fill) - - data = table.data - data = encode_(data) - table.df = pd.DataFrame(data) - table.shape = table.df.shape - - whitespace, __, __ = count_empty(data) - table.accuracy = accuracy - table.whitespace = whitespace - table.order = table_idx + 1 - table.page = int(os.path.basename(self.basename).replace('page-', '')) - - return table - - def extract_tables(self, filename): - """ - - Parameters - ---------- - filename - - Returns - ------- - - """ - logger.info('Processing {}'.format(os.path.basename(filename))) - self._generate_layout(filename) - - if not self.horizontal_text: - warnings.warn("No tables found on {}".format( - os.path.basename(self.basename))) - return [], self.g - - self._generate_image() - self._generate_table_bbox() - - _tables = [] - # sort tables based on y-coord - for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), - key=lambda x: x[1], reverse=True)): - cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk) - table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s) - _tables.append(table) - - if self.debug: - self.g.images = (self.image, self.table_bbox_unscaled) - self.g.segments = (self.vertical_segments, self.horizontal_segments) - self.g.tables = _tables - - return _tables, self.g \ No newline at end of file diff --git a/camelot/parsers/__init__.py b/camelot/parsers/__init__.py new file mode 100644 index 0000000..e046b46 --- /dev/null +++ b/camelot/parsers/__init__.py @@ -0,0 +1,2 @@ +from .stream import Stream +from .lattice import Lattice \ No newline at end of file diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py new file mode 100644 index 0000000..16eb083 --- /dev/null +++ b/camelot/parsers/base.py @@ -0,0 +1,20 @@ +from ..core import Geometry +from ..utils import get_page_layout, get_text_objects + + +class BaseParser(object): + """ + + """ + def _generate_layout(self, filename): + self.filename = filename + self.layout, self.dimensions = get_page_layout( + self.filename, + char_margin=self.char_margin, + line_margin=self.line_margin, + word_margin=self.word_margin) + self.horizontal_text = get_text_objects(self.layout, ltype="lh") + self.vertical_text = get_text_objects(self.layout, ltype="lv") + self.pdf_width, self.pdf_height = self.dimensions + self.basename, __ = os.path.splitext(self.filename) + self.g = Geometry() \ No newline at end of file diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py new file mode 100644 index 0000000..a8067ab --- /dev/null +++ b/camelot/parsers/lattice.py @@ -0,0 +1,244 @@ +from __future__ import division +import os +import sys +import copy +import types +import logging +import copy_reg +import warnings +import subprocess + +import numpy as np +import pandas as pd + +from .base import BaseParser +from ..core import Table +from ..utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, + merge_close_values, get_table_index, compute_accuracy, + count_empty, encode_) +from ..image_processing import (adaptive_threshold, find_lines, + find_table_contours, find_table_joints) + + +logger = logging.getLogger('camelot') + + +class Lattice(BaseParser): + """ + + """ + def __init__(self, table_area=None, fill=None, mtol=2, jtol=2, + blocksize=15, threshold_constant=-2, scale=15, iterations=0, + invert=False, margins=(1.0, 0.5, 0.1), split_text=False, + flag_size=True, shift_text=['l', 't'], debug=None): + self.table_area = table_area + self.fill = fill + self.mtol = mtol + self.jtol = jtol + self.blocksize = blocksize + self.threshold_constant = threshold_constant + self.scale = scale + self.iterations = iterations + self.invert = invert + self.char_margin, self.line_margin, self.word_margin = margins + self.split_text = split_text + self.flag_size = flag_size + self.shift_text = shift_text + self.debug = debug + + @staticmethod + def _reduce_index(t, idx, shift_text): + indices = [] + for r_idx, c_idx, text in idx: + for d in shift_text: + if d == 'l': + if t.cells[r_idx][c_idx].spanning_h: + while not t.cells[r_idx][c_idx].left: + c_idx -= 1 + if d == 'r': + if t.cells[r_idx][c_idx].spanning_h: + while not t.cells[r_idx][c_idx].right: + c_idx += 1 + if d == 't': + if t.cells[r_idx][c_idx].spanning_v: + while not t.cells[r_idx][c_idx].top: + r_idx -= 1 + if d == 'b': + if t.cells[r_idx][c_idx].spanning_v: + while not t.cells[r_idx][c_idx].bottom: + r_idx += 1 + indices.append((r_idx, c_idx, text)) + return indices + + @staticmethod + def _fill_spanning(t, fill=None): + for f in fill: + if f == "h": + for i in range(len(t.cells)): + for j in range(len(t.cells[i])): + if t.cells[i][j].get_text().strip() == '': + if t.cells[i][j].spanning_h and not t.cells[i][j].left: + t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) + elif f == "v": + for i in range(len(t.cells)): + for j in range(len(t.cells[i])): + if t.cells[i][j].get_text().strip() == '': + if t.cells[i][j].spanning_v and not t.cells[i][j].top: + t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) + return t + + def _generate_image(self): + self.imagename = ''.join([self.basename, '.png']) + gs_call = [ + "-q", "-sDEVICE=png16m", "-o", self.imagename, "-r600", self.filename + ] + if "ghostscript" in subprocess.check_output(["gs", "-version"]).lower(): + gs_call.insert(0, "gs") + else: + gs_call.insert(0, "gsc") + subprocess.call(gs_call, stdout=open(os.devnull, 'w'), + stderr=subprocess.STDOUT) + + def _generate_table_bbox(self): + self.image, self.threshold = adaptive_threshold(self.imagename, invert=self.invert, + blocksize=self.blocksize, c=self.threshold_constant) + image_width = self.image.shape[1] + image_height = self.image.shape[0] + image_width_scaler = image_width / float(self.pdf_width) + image_height_scaler = image_height / float(self.pdf_height) + pdf_width_scaler = self.pdf_width / float(image_width) + pdf_height_scaler = self.pdf_height / float(image_height) + image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height) + pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height) + + vertical_mask, vertical_segments = find_lines(self.threshold, + direction='vertical', scale=self.scale, iterations=self.iterations) + horizontal_mask, horizontal_segments = find_lines(self.threshold, + direction='horizontal', scale=self.scale, iterations=self.iterations) + + if self.table_area is not None: + areas = [] + for area in self.table_area: + x1, y1, x2, y2 = area.split(",") + x1 = float(x1) + y1 = float(y1) + x2 = float(x2) + y2 = float(y2) + x1, y1, x2, y2 = scale_pdf((x1, y1, x2, y2), image_scalers) + areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) + table_bbox = find_table_joints(areas, vertical_mask, horizontal_mask) + else: + contours = find_table_contours(vertical_mask, horizontal_mask) + table_bbox = find_table_joints(contours, vertical_mask, horizontal_mask) + + self.table_bbox_unscaled = copy.deepcopy(table_bbox) + + self.table_bbox, self.vertical_segments, self.horizontal_segments = scale_image( + table_bbox, vertical_segments, horizontal_segments, pdf_scalers) + + def _generate_columns_and_rows(self, table_idx, tk): + # select elements which lie within table_bbox + t_bbox = {} + v_s, h_s = segments_in_bbox( + tk, self.vertical_segments, self.horizontal_segments) + t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) + t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) + self.t_bbox = t_bbox + + for direction in t_bbox: + t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) + + cols, rows = zip(*self.table_bbox[tk]) + cols, rows = list(cols), list(rows) + cols.extend([tk[0], tk[2]]) + rows.extend([tk[1], tk[3]]) + # sort horizontal and vertical segments + cols = merge_close_values(sorted(cols), mtol=self.mtol) + rows = merge_close_values(sorted(rows, reverse=True), mtol=self.mtol) + # make grid using x and y coord of shortlisted rows and cols + cols = [(cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1)] + rows = [(rows[i], rows[i + 1]) + for i in range(0, len(rows) - 1)] + + return cols, rows, v_s, h_s + + def _generate_table(self, table_idx, cols, rows, **kwargs): + v_s = kwargs.get('v_s') + h_s = kwargs.get('h_s') + if v_s is None or h_s is None: + raise ValueError('No segments found on {}'.format(self.basename)) + + table = Table(cols, rows) + # set table edges to True using ver+hor lines + table = table.set_edges(v_s, h_s, jtol=self.jtol) + # set spanning cells to True + table = table.set_spanning() + # set table border edges to True + table = table.set_border_edges() + + pos_errors = [] + for direction in self.t_bbox: + for t in self.t_bbox[direction]: + indices, error = get_table_index( + table, t, direction, split_text=self.split_text, + flag_size=self.flag_size) + if indices[:2] != (-1, -1): + pos_errors.append(error) + indices = Lattice._reduce_index(table, indices, shift_text=self.shift_text) + for r_idx, c_idx, text in indices: + table.cells[r_idx][c_idx].add_text(text) + accuracy = compute_accuracy([[100, pos_errors]]) + + if self.fill is not None: + table = Lattice._fill_spanning(table, fill=self.fill) + + data = table.data + data = encode_(data) + table.df = pd.DataFrame(data) + table.shape = table.df.shape + + whitespace, __, __ = count_empty(data) + table.accuracy = accuracy + table.whitespace = whitespace + table.order = table_idx + 1 + table.page = int(os.path.basename(self.basename).replace('page-', '')) + + return table + + def extract_tables(self, filename): + """ + + Parameters + ---------- + filename + + Returns + ------- + + """ + logger.info('Processing {}'.format(os.path.basename(filename))) + self._generate_layout(filename) + + if not self.horizontal_text: + warnings.warn("No tables found on {}".format( + os.path.basename(self.basename))) + return [], self.g + + self._generate_image() + self._generate_table_bbox() + + _tables = [] + # sort tables based on y-coord + for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), + key=lambda x: x[1], reverse=True)): + cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk) + table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s) + _tables.append(table) + + if self.debug: + self.g.images = (self.image, self.table_bbox_unscaled) + self.g.segments = (self.vertical_segments, self.horizontal_segments) + self.g.tables = _tables + + return _tables, self.g \ No newline at end of file diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py new file mode 100644 index 0000000..3daa9e6 --- /dev/null +++ b/camelot/parsers/stream.py @@ -0,0 +1,260 @@ +from __future__ import division +import os +import sys +import copy +import types +import logging +import copy_reg +import warnings +import subprocess + +import numpy as np +import pandas as pd + +from .base import BaseParser +from ..core import Table +from ..utils import (text_in_bbox, get_table_index, compute_accuracy, + count_empty, encode_) + + +logger = logging.getLogger('camelot') + + +class Stream(BaseParser): + """ + + """ + def __init__(self, table_area=None, columns=None, ytol=2, mtol=0, + margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, + debug=False): + self.table_area = table_area + self.columns = columns + self._validate_columns() + self.ytol = ytol + self.mtol = mtol + self.char_margin, self.line_margin, self.word_margin = margins + self.split_text = split_text + self.flag_size = flag_size + self.debug = debug + + def _validate_columns(self): + if self.table_area is not None and self.columns is not None: + if len(self.table_area) != len(self.columns): + raise ValueError("Length of table_area and columns" + " should be equal") + + @staticmethod + def _text_bbox(t_bbox): + xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) + ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]]) + xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]]) + ymax = max([t.y1 for direction in t_bbox for t in t_bbox[direction]]) + text_bbox = (xmin, ymin, xmax, ymax) + return text_bbox + + @staticmethod + def _group_rows(text, ytol=2): + row_y = 0 + rows = [] + temp = [] + for t in text: + # is checking for upright necessary? + # if t.get_text().strip() and all([obj.upright for obj in t._objs if + # type(obj) is LTChar]): + if t.get_text().strip(): + if not np.isclose(row_y, t.y0, atol=ytol): + rows.append(sorted(temp, key=lambda t: t.x0)) + temp = [] + row_y = t.y0 + temp.append(t) + rows.append(sorted(temp, key=lambda t: t.x0)) + __ = rows.pop(0) # hacky + return rows + + @staticmethod + def _merge_columns(l, mtol=0): + merged = [] + for higher in l: + if not merged: + merged.append(higher) + else: + lower = merged[-1] + if mtol >= 0: + if (higher[0] <= lower[1] or + np.isclose(higher[0], lower[1], atol=mtol)): + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + elif mtol < 0: + if higher[0] <= lower[1]: + if np.isclose(higher[0], lower[1], atol=abs(mtol)): + merged.append(higher) + else: + upper_bound = max(lower[1], higher[1]) + lower_bound = min(lower[0], higher[0]) + merged[-1] = (lower_bound, upper_bound) + else: + merged.append(higher) + return merged + + @staticmethod + def _join_rows(rows_grouped, text_y_max, text_y_min): + row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) + if len(r) > 0 else 0 for r in rows_grouped] + rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] + rows.insert(0, text_y_max) + rows.append(text_y_min) + rows = [(rows[i], rows[i + 1]) + for i in range(0, len(rows) - 1)] + return rows + + @staticmethod + def _add_columns(cols, text, ytol): + if text: + text = Stream._group_rows(text, ytol=ytol) + elements = [len(r) for r in text] + new_cols = [(t.x0, t.x1) + for r in text if len(r) == max(elements) for t in r] + cols.extend(Stream._merge_columns(sorted(new_cols))) + return cols + + @staticmethod + def _join_columns(cols, text_x_min, text_x_max): + cols = sorted(cols) + cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) + for i in range(0, len(cols) - 1)] + return cols + + def _generate_table_bbox(self): + if self.table_area is not None: + table_bbox = {} + for area in self.table_area: + x1, y1, x2, y2 = area.split(",") + x1 = float(x1) + y1 = float(y1) + x2 = float(x2) + y2 = float(y2) + table_bbox[(x1, y2, x2, y1)] = None + else: + table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None} + self.table_bbox = table_bbox + + def _generate_columns_and_rows(self, table_idx, tk): + # select elements which lie within table_bbox + t_bbox = {} + t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) + t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) + self.t_bbox = t_bbox + + for direction in self.t_bbox: + self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) + + text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox) + rows_grouped = self._group_rows(self.t_bbox['horizontal'], ytol=self.ytol) + rows = self._join_rows(rows_grouped, text_y_max, text_y_min) + elements = [len(r) for r in rows_grouped] + + if self.columns is not None and self.columns[table_idx] != "": + # user has to input boundary columns too + # take (0, pdf_width) by default + # similar to else condition + # len can't be 1 + cols = self.columns[table_idx].split(',') + cols = [float(c) for c in cols] + cols.insert(0, text_x_min) + cols.append(text_x_max) + cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] + else: + ncols = max(set(elements), key=elements.count) + if ncols == 1: + # no tables condition + warnings.warn("No tables found on {}".format( + os.path.basename(self.basename))) + cols = [(t.x0, t.x1) + for r in rows_grouped if len(r) == ncols for t in r] + cols = self._merge_columns(sorted(cols), mtol=self.mtol) + inner_text = [] + for i in range(1, len(cols)): + left = cols[i - 1][1] + right = cols[i][0] + inner_text.extend([t for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > left and t.x1 < right]) + outer_text = [t for direction in self.t_bbox + for t in self.t_bbox[direction] + if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] + inner_text.extend(outer_text) + cols = self._add_columns(cols, inner_text, self.ytol) + cols = self._join_columns(cols, text_x_min, text_x_max) + + return cols, rows + + def _generate_table(self, table_idx, cols, rows, **kwargs): + table = Table(cols, rows) + table = table.set_all_edges() + pos_errors = [] + for direction in self.t_bbox: + for t in self.t_bbox[direction]: + indices, error = get_table_index( + table, t, direction, split_text=self.split_text, + flag_size=self.flag_size) + if indices[:2] != (-1, -1): + pos_errors.append(error) + for r_idx, c_idx, text in indices: + table.cells[r_idx][c_idx].add_text(text) + accuracy = compute_accuracy([[100, pos_errors]]) + + data = table.data + data = encode_(data) + table.df = pd.DataFrame(data) + table.shape = table.df.shape + + whitespace, __, __ = count_empty(data) + table.accuracy = accuracy + table.whitespace = whitespace + table.order = table_idx + 1 + table.page = int(os.path.basename(self.basename).replace('page-', '')) + + return table + + def extract_tables(self, filename): + """ + + Parameters + ---------- + filename + + Returns + ------- + + """ + logger.info('Processing {}'.format(os.path.basename(filename))) + self._generate_layout(filename) + + if not self.horizontal_text: + warnings.warn("No tables found on {}".format( + os.path.basename(self.basename))) + return [], self.g + + self._generate_table_bbox() + + _tables = [] + # sort tables based on y-coord + for table_idx, tk in enumerate(sorted(self.table_bbox.keys(), + key=lambda x: x[1], reverse=True)): + cols, rows = self._generate_columns_and_rows(table_idx, tk) + table = self._generate_table(table_idx, cols, rows) + _tables.append(table) + + if self.debug: + text = [] + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) + self.g.text = text + + return _tables, self.g \ No newline at end of file diff --git a/camelot/utils.py b/camelot/utils.py index 6ec04af..39ab918 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -154,7 +154,7 @@ def setup_logging(log_filepath): ------- """ - logger = logging.getLogger("app_logger") + logger = logging.getLogger("camelot") logger.setLevel(logging.DEBUG) # Log File Handler (Associating one log file per webservice run) log_file_handler = logging.FileHandler(log_filepath, From 42d7a4ac02125f815c6522e4880222f07a9593eb Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Thu, 6 Sep 2018 06:15:13 +0530 Subject: [PATCH 18/39] Add import os --- camelot/parsers/base.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 16eb083..0c1b54b 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -1,3 +1,5 @@ +import os + from ..core import Geometry from ..utils import get_page_layout, get_text_objects From ffeb853c552f2acc449d76948c9c6a22afee7c55 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Thu, 6 Sep 2018 06:21:54 +0530 Subject: [PATCH 19/39] Rename plot.py to plotting.py --- camelot/__init__.py | 2 +- camelot/{plot.py => plotting.py} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename camelot/{plot.py => plotting.py} (100%) diff --git a/camelot/__init__.py b/camelot/__init__.py index 9762184..6e416e4 100644 --- a/camelot/__init__.py +++ b/camelot/__init__.py @@ -1,4 +1,4 @@ from .__version__ import __version__ from .io import read_pdf -from .plot import plot_geometry \ No newline at end of file +from .plotting import plot_geometry \ No newline at end of file diff --git a/camelot/plot.py b/camelot/plotting.py similarity index 100% rename from camelot/plot.py rename to camelot/plotting.py From 557189da2434794dbac8e7a2ae8d703aaa45f43e Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Thu, 6 Sep 2018 07:42:41 +0530 Subject: [PATCH 20/39] Refactor core --- camelot/core.py | 203 +++++++++++++++---------------------- camelot/parsers/lattice.py | 29 +++--- camelot/parsers/stream.py | 7 +- 3 files changed, 97 insertions(+), 142 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 87cb6ae..9f98f16 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -16,64 +16,47 @@ class Cell(object): self.lt = (x1, y2) self.rb = (x2, y1) self.rt = (x2, y2) - self.bbox = (x1, y1, x2, y2) self.left = False self.right = False self.top = False self.bottom = False - self.text_objects = [] - self.text = '' - self.spanning_h = False - self.spanning_v = False + self.hspan = False + self.vspan = False + self._text = '' def __repr__(self): - pass + return ''.format(self.__class__.__name__, self._shape) - def set_all_edges(self): - """ - - Returns - ------- - - """ - for r in range(len(self.rows)): - for c in range(len(self.cols)): - self.cells[r][c].left = True - self.cells[r][c].right = True - self.cells[r][c].top = True - self.cells[r][c].bottom = True - return self - - def set_border_edges(self): + def set_border(self): """ Returns @@ -125,6 +93,18 @@ class Table(object): self.cells[len(self.rows) - 1][c].bottom = True return self + def set_all_edges(self): + """ + + Returns + ------- + + """ + for row in self.cells: + for cell in row: + cell.left = cell.right = cell.top = cell.bottom = True + return self + def set_edges(self, vertical, horizontal, jtol=2): """ @@ -140,7 +120,7 @@ class Table(object): """ for v in vertical: # find closest x coord - # iterate over y coords and find closest points + # iterate over y coords and find closest start and end points i = [i for i, t in enumerate(self.cols) if np.isclose(v[0], t[0], atol=jtol)] j = [j for j, t in enumerate(self.rows) @@ -148,51 +128,50 @@ class Table(object): k = [k for k, t in enumerate(self.rows) if np.isclose(v[1], t[0], atol=jtol)] if not j: - self.nocont_ += 1 continue J = j[0] if i == [0]: # only left edge - I = i[0] + L = i[0] if k: K = k[0] while J < K: - self.cells[J][I].left = True + self.cells[J][L].left = True J += 1 else: K = len(self.rows) while J < K: - self.cells[J][I].left = True + self.cells[J][L].left = True J += 1 elif i == []: # only right edge - I = len(self.cols) - 1 + L = len(self.cols) - 1 if k: K = k[0] while J < K: - self.cells[J][I].right = True + self.cells[J][L].right = True J += 1 else: K = len(self.rows) while J < K: - self.cells[J][I].right = True + self.cells[J][L].right = True J += 1 else: # both left and right edges - I = i[0] + L = i[0] if k: K = k[0] while J < K: - self.cells[J][I].left = True - self.cells[J][I - 1].right = True + self.cells[J][L].left = True + self.cells[J][L - 1].right = True J += 1 else: K = len(self.rows) while J < K: - self.cells[J][I].left = True - self.cells[J][I - 1].right = True + self.cells[J][L].left = True + self.cells[J][L - 1].right = True J += 1 for h in horizontal: # find closest y coord - # iterate over x coords and find closest points + # iterate over x coords and find closest start and end points i = [i for i, t in enumerate(self.rows) if np.isclose(h[1], t[0], atol=jtol)] j = [j for j, t in enumerate(self.cols) @@ -200,93 +179,78 @@ class Table(object): k = [k for k, t in enumerate(self.cols) if np.isclose(h[2], t[0], atol=jtol)] if not j: - self.nocont_ += 1 continue J = j[0] if i == [0]: # only top edge - I = i[0] + L = i[0] if k: K = k[0] while J < K: - self.cells[I][J].top = True + self.cells[L][J].top = True J += 1 else: K = len(self.cols) while J < K: - self.cells[I][J].top = True + self.cells[L][J].top = True J += 1 elif i == []: # only bottom edge I = len(self.rows) - 1 if k: K = k[0] while J < K: - self.cells[I][J].bottom = True + self.cells[L][J].bottom = True J += 1 else: K = len(self.cols) while J < K: - self.cells[I][J].bottom = True + self.cells[L][J].bottom = True J += 1 else: # both top and bottom edges - I = i[0] + L = i[0] if k: K = k[0] while J < K: - self.cells[I][J].top = True - self.cells[I - 1][J].bottom = True + self.cells[L][J].top = True + self.cells[L - 1][J].bottom = True J += 1 else: K = len(self.cols) while J < K: - self.cells[I][J].top = True - self.cells[I - 1][J].bottom = True + self.cells[L][J].top = True + self.cells[L - 1][J].bottom = True J += 1 return self - def set_spanning(self): + def set_span(self): """ Returns ------- """ - for r in range(len(self.rows)): - for c in range(len(self.cols)): - bound = self.cells[r][c].get_bounded_edges() - if bound == 4: + for row in self.cells: + for cell in row: + left = cell.left + right = cell.right + top = cell.top + bottom = cell.bottom + if cell.bound == 4: continue - elif bound == 3: - if not self.cells[r][c].left: - if (self.cells[r][c].right and - self.cells[r][c].top and - self.cells[r][c].bottom): - self.cells[r][c].spanning_h = True - elif not self.cells[r][c].right: - if (self.cells[r][c].left and - self.cells[r][c].top and - self.cells[r][c].bottom): - self.cells[r][c].spanning_h = True - elif not self.cells[r][c].top: - if (self.cells[r][c].left and - self.cells[r][c].right and - self.cells[r][c].bottom): - self.cells[r][c].spanning_v = True - elif not self.cells[r][c].bottom: - if (self.cells[r][c].left and - self.cells[r][c].right and - self.cells[r][c].top): - self.cells[r][c].spanning_v = True - elif bound == 2: - if self.cells[r][c].left and self.cells[r][c].right: - if (not self.cells[r][c].top and - not self.cells[r][c].bottom): - self.cells[r][c].spanning_v = True - elif self.cells[r][c].top and self.cells[r][c].bottom: - if (not self.cells[r][c].left and - not self.cells[r][c].right): - self.cells[r][c].spanning_h = True - + elif cell.bound == 3: + if not left and (right and top and bottom): + cell.hspan = True + elif not right and (left and top and bottom): + cell.hspan = True + elif not top and (left and right and bottom): + cell.vspan = True + elif not bottom and (left and right and top): + cell.vspan = True + elif cell.bound == 2: + if left and right and (not top and not bottom): + cell.vspan = True + elif top and bottom and (not left and not right): + cell.hspan = True return self @property @@ -298,9 +262,8 @@ class Table(object): """ d = [] - for r in range(len(self.rows)): - d.append([self.cells[r][c].get_text().strip() - for c in range(len(self.cols))]) + for row in self.cells: + d.append([cell.text.strip() for cell in row]) return d @property @@ -405,7 +368,7 @@ class Table(object): return report -class TableList(list): +class TableList(object): """ """ diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index a8067ab..282a96a 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -1,10 +1,7 @@ from __future__ import division import os -import sys import copy -import types import logging -import copy_reg import warnings import subprocess @@ -52,19 +49,19 @@ class Lattice(BaseParser): for r_idx, c_idx, text in idx: for d in shift_text: if d == 'l': - if t.cells[r_idx][c_idx].spanning_h: + if t.cells[r_idx][c_idx].hspan: while not t.cells[r_idx][c_idx].left: c_idx -= 1 if d == 'r': - if t.cells[r_idx][c_idx].spanning_h: + if t.cells[r_idx][c_idx].hspan: while not t.cells[r_idx][c_idx].right: c_idx += 1 if d == 't': - if t.cells[r_idx][c_idx].spanning_v: + if t.cells[r_idx][c_idx].vspan: while not t.cells[r_idx][c_idx].top: r_idx -= 1 if d == 'b': - if t.cells[r_idx][c_idx].spanning_v: + if t.cells[r_idx][c_idx].vspan: while not t.cells[r_idx][c_idx].bottom: r_idx += 1 indices.append((r_idx, c_idx, text)) @@ -76,15 +73,15 @@ class Lattice(BaseParser): if f == "h": for i in range(len(t.cells)): for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_h and not t.cells[i][j].left: - t.cells[i][j].add_text(t.cells[i][j - 1].get_text()) + if t.cells[i][j].text.strip() == '': + if t.cells[i][j].hspan and not t.cells[i][j].left: + t.cells[i][j].text = t.cells[i][j - 1].text elif f == "v": for i in range(len(t.cells)): for j in range(len(t.cells[i])): - if t.cells[i][j].get_text().strip() == '': - if t.cells[i][j].spanning_v and not t.cells[i][j].top: - t.cells[i][j].add_text(t.cells[i - 1][j].get_text()) + if t.cells[i][j].text.strip() == '': + if t.cells[i][j].vspan and not t.cells[i][j].top: + t.cells[i][j].text = t.cells[i - 1][j].text return t def _generate_image(self): @@ -173,9 +170,9 @@ class Lattice(BaseParser): # set table edges to True using ver+hor lines table = table.set_edges(v_s, h_s, jtol=self.jtol) # set spanning cells to True - table = table.set_spanning() + table = table.set_span() # set table border edges to True - table = table.set_border_edges() + table = table.set_border() pos_errors = [] for direction in self.t_bbox: @@ -187,7 +184,7 @@ class Lattice(BaseParser): pos_errors.append(error) indices = Lattice._reduce_index(table, indices, shift_text=self.shift_text) for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].add_text(text) + table.cells[r_idx][c_idx].text = text accuracy = compute_accuracy([[100, pos_errors]]) if self.fill is not None: diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 3daa9e6..1849a0c 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -1,12 +1,7 @@ from __future__ import division import os -import sys -import copy -import types import logging -import copy_reg import warnings -import subprocess import numpy as np import pandas as pd @@ -206,7 +201,7 @@ class Stream(BaseParser): if indices[:2] != (-1, -1): pos_errors.append(error) for r_idx, c_idx, text in indices: - table.cells[r_idx][c_idx].add_text(text) + table.cells[r_idx][c_idx].text = text accuracy = compute_accuracy([[100, pos_errors]]) data = table.data From ed1641e26f27d66f7583d3ffa558fa537f7d856c Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Fri, 7 Sep 2018 02:34:59 +0530 Subject: [PATCH 21/39] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 4a5227f..88dcafe 100644 --- a/README.md +++ b/README.md @@ -85,13 +85,13 @@ numpy can be install using `pip`. OpenCV and ghostscript can be installed using * Arch Linux 
-sudo pacman -S opencv ghostscript
+sudo pacman -S opencv tk ghostscript
* Ubuntu 
-sudo apt-get install libopencv-dev python-opencv python-tk ghostscript
+sudo apt-get install python-opencv python-tk ghostscript
#### OS X From 0c329634e738be01c937d724f47826fbe8d5843a Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Fri, 7 Sep 2018 05:13:34 +0530 Subject: [PATCH 22/39] Add export to TableList and Table --- README.md | 4 +- camelot/core.py | 373 +++++++++++++++---------------------- camelot/handlers.py | 10 +- camelot/parsers/base.py | 2 +- camelot/parsers/lattice.py | 8 +- camelot/parsers/stream.py | 18 +- 6 files changed, 169 insertions(+), 246 deletions(-) diff --git a/README.md b/README.md index 4a5227f..b5a3e8b 100644 --- a/README.md +++ b/README.md @@ -9,9 +9,10 @@ Camelot is a Python 2.7 library and command-line tool for getting tables out of >>> tables = camelot.read_pdf("foo.pdf") >>> tables <TableList n=2> ->>> tables.to_csv(zip=True) # to_json, to_excel, to_html +>>> tables.export("foo.csv", f="csv", compress=True) # json, excel, html >>> tables[0] <Table shape=(3,4)> +>>> tables[0].to_csv("foo.csv") # to_json, to_excel, to_html >>> tables[0].parsing_report { "accuracy": 96, @@ -20,7 +21,6 @@ Camelot is a Python 2.7 library and command-line tool for getting tables out of "page": 1 } >>> df = tables[0].df ->>> tables[0].to_csv("foo.csv") # to_json, to_excel, to_html Camelot comes with a CLI where you can specify page numbers, output format, output directory etc. By default, the output files are placed in the same directory as the PDF. diff --git a/camelot/core.py b/camelot/core.py index 9f98f16..2003979 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -1,6 +1,10 @@ +import os import json +import zipfile +import tempfile import numpy as np +import pandas as pd class Cell(object): @@ -68,16 +72,46 @@ class Table(object): self.rows = rows self.cells = [[Cell(c[0], r[1], c[1], r[0]) for c in cols] for r in rows] - self._df = None - self._shape = (0, 0) - self._accuracy = 0 - self._whitespace = 0 - self._order = None - self._page = None + self.df = None + self.shape = (0, 0) + self.accuracy = 0 + self.whitespace = 0 + self.order = None + self.page = None def __repr__(self): return '<{} shape={}>'.format(self.__class__.__name__, self._shape) + @property + def data(self): + """ + + Returns + ------- + + """ + d = [] + for row in self.cells: + d.append([cell.text.strip() for cell in row]) + return d + + @property + def parsing_report(self): + """ + + Returns + ------- + + """ + # pretty? + report = { + 'accuracy': self.accuracy, + 'whitespace': self.whitespace, + 'order': self.order, + 'page': self.page + } + return report + def set_border(self): """ @@ -253,119 +287,38 @@ class Table(object): cell.hspan = True return self - @property - def data(self): - """ - - Returns - ------- - - """ - d = [] - for row in self.cells: - d.append([cell.text.strip() for cell in row]) - return d - - @property - def df(self): - """ - - Returns - ------- - - """ - return self._df - - @df.setter - def df(self, dataframe): - self._df = dataframe - - @property - def shape(self): - """ - - Returns - ------- - - """ - return self._shape - - @shape.setter - def shape(self, s): - self._shape = s - - @property - def accuracy(self): - """ - - Returns - ------- - - """ - return self._accuracy - - @accuracy.setter - def accuracy(self, a): - self._accuracy = a - - @property - def whitespace(self): - """ - - Returns - ------- - - """ - return self._whitespace - - @whitespace.setter - def whitespace(self, w): - self._whitespace = w - - @property - def order(self): - """ - - Returns - ------- - - """ - return self._order - - @order.setter - def order(self, o): - self._order = o - - @property - def page(self): - """ - - Returns - ------- - - """ - return self._page - - @page.setter - def page(self, p): - self._page = p - - @property - def parsing_report(self): - """ - - Returns - ------- - - """ - # pretty? - report = { - 'accuracy': self._accuracy, - 'whitespace': self._whitespace, - 'order': self._order, - 'page': self._page + def to_csv(self, path, **kwargs): + kw = { + 'encoding': 'utf-8', + 'index': False, + 'quoting': 1 } - return report + kw.update(kwargs) + self.df.to_csv(path, **kw) + + def to_json(self, path, **kwargs): + kw = { + 'orient': 'records' + } + kw.update(kwargs) + json_string = self.df.to_json(**kw) + with open(path, 'w') as f: + f.write(json_string) + + def to_excel(self, path, **kwargs): + kw = { + 'sheet_name': 'page-{}-table-{}'.format(self.page, self.order), + 'encoding': 'utf-8' + } + kw.update(kwargs) + writer = pd.ExcelWriter(path) + self.df.to_excel(writer, **kw) + writer.save() + + def to_html(self, path, **kwargs): + html_string = self.df.to_html(**kwargs) + with open(path, 'w') as f: + f.write(html_string) class TableList(object): @@ -385,72 +338,82 @@ class TableList(object): def __getitem__(self, idx): return self._tables[idx] + @staticmethod + def _format_func(table, f): + return getattr(table, 'to_{}'.format(f)) + + def _write_file(self, f=None, **kwargs): + dirname = kwargs.get('dirname') + root = kwargs.get('root') + ext = kwargs.get('ext') + for table in self._tables: + filename = os.path.join('{}-page-{}-table-{}{}'.format( + root, table.page, table.order, ext)) + filepath = os.path.join(dirname, filename) + to_format = self._format_func(table, f) + to_format(filepath) + + def _compress_dir(self, **kwargs): + path = kwargs.get('path') + dirname = kwargs.get('dirname') + root = kwargs.get('root') + ext = kwargs.get('ext') + zipname = os.path.join(os.path.dirname(path), root) + '.zip' + with zipfile.ZipFile(zipname, 'w', allowZip64=True) as z: + for table in self._tables: + filename = os.path.join('{}-page-{}-table-{}{}'.format( + root, table.page, table.order, ext)) + filepath = os.path.join(dirname, filename) + z.write(filepath, os.path.basename(filepath)) + + def export(self, path, f='csv', compress=False): + dirname = os.path.dirname(path) + basename = os.path.basename(path) + root, ext = os.path.splitext(basename) + if compress: + dirname = tempfile.mkdtemp() + + kwargs = { + 'path': path, + 'dirname': dirname, + 'root': root, + 'ext': ext + } + + if f in ['csv', 'json', 'html']: + self._write_file(f=f, **kwargs) + if compress: + self._compress_dir(**kwargs) + elif f == 'excel': + filepath = os.path.join(dirname, basename) + writer = pd.ExcelWriter(filepath) + for table in self._tables: + sheet_name = 'page-{}-table-{}'.format(table.page, table.order) + table.df.to_excel(writer, sheet_name=sheet_name, encoding='utf-8') + writer.save() + if compress: + zipname = os.path.join(os.path.dirname(path), root) + '.zip' + with zipfile.ZipFile(zipname, 'w', allowZip64=True) as z: + z.write(filepath, os.path.basename(filepath)) + class Geometry(object): """ """ def __init__(self): - self._text = [] - self._images = () - self._segments = () - self._tables = [] + self.text = [] + self.images = () + self.segments = () + self.tables = [] - @property - def text(self): - """ - - Returns - ------- - - """ - return self._text - - @text.setter - def text(self, t): - self._text = t - - @property - def images(self): - """ - - Returns - ------- - - """ - return self._images - - @images.setter - def images(self, i): - self._images = i - - @property - def segments(self): - """ - - Returns - ------- - - """ - return self._segments - - @segments.setter - def segments(self, s): - self._segments = s - - @property - def tables(self): - """ - - Returns - ------- - - """ - return self._tables - - @tables.setter - def tables(self, tb): - self._tables = tb + def __repr__(self): + return '<{} text={} images={} segments={} tables={}>'.format( + self.__class__.__name__, + len(self.text), + len(self.images), + len(self.segments), + len(self.tables)) class GeometryList(object): @@ -458,55 +421,15 @@ class GeometryList(object): """ def __init__(self, geometry): - self._text = [g.text for g in geometry] - self._images = [g.images for g in geometry] - self._segments = [g.segments for g in geometry] - self._tables = [g.tables for g in geometry] + self.text = [g.text for g in geometry] + self.images = [g.images for g in geometry] + self.segments = [g.segments for g in geometry] + self.tables = [g.tables for g in geometry] def __repr__(self): return '<{} text={} images={} segments={} tables={}>'.format( self.__class__.__name__, - len(self._text), - len(self._images), - len(self._segments), - len(self._tables)) - - @property - def text(self): - """ - - Returns - ------- - - """ - return self._text - - @property - def images(self): - """ - - Returns - ------- - - """ - return self._images - - @property - def segments(self): - """ - - Returns - ------- - - """ - return self._segments - - @property - def tables(self): - """ - - Returns - ------- - - """ - return self._tables \ No newline at end of file + len(self.text), + len(self.images), + len(self.segments), + len(self.tables)) \ No newline at end of file diff --git a/camelot/handlers.py b/camelot/handlers.py index c4bcfd8..af4db00 100644 --- a/camelot/handlers.py +++ b/camelot/handlers.py @@ -17,7 +17,7 @@ class PDFHandler(object): if not self.filename.endswith('.pdf'): raise TypeError("File format not supported.") self.pages = self.__get_pages(self.filename, pages) - self.temp = tempfile.mkdtemp() + self.tempdir = tempfile.mkdtemp() def __get_pages(self, filename, pages): # refactor @@ -47,7 +47,7 @@ class PDFHandler(object): with open(filename, 'rb') as fileobj: infile = PdfFileReader(fileobj, strict=False) fpath = os.path.join(temp, 'page-{0}.pdf'.format(page)) - fname, fext = os.path.splitext(fpath) + froot, fext = os.path.splitext(fpath) p = infile.getPage(page - 1) outfile = PdfFileWriter() outfile.addPage(p) @@ -60,7 +60,7 @@ class PDFHandler(object): ltchar = get_text_objects(layout, ltype="char") rotation = get_rotation(lttextlh, lttextlv, ltchar) if rotation != '': - fpath_new = ''.join([fname.replace('page', 'p'), '_rotated', fext]) + fpath_new = ''.join([froot.replace('page', 'p'), '_rotated', fext]) os.rename(fpath, fpath_new) infile = PdfFileReader(open(fpath_new, 'rb'), strict=False) outfile = PdfFileWriter() @@ -86,8 +86,8 @@ class PDFHandler(object): """ for p in self.pages: - self.__save_page(self.filename, p, self.temp) - pages = [os.path.join(self.temp, 'page-{0}.pdf'.format(p)) + self.__save_page(self.filename, p, self.tempdir) + pages = [os.path.join(self.tempdir, 'page-{0}.pdf'.format(p)) for p in self.pages] tables = [] geometry = [] diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py index 0c1b54b..79cb986 100644 --- a/camelot/parsers/base.py +++ b/camelot/parsers/base.py @@ -18,5 +18,5 @@ class BaseParser(object): self.horizontal_text = get_text_objects(self.layout, ltype="lh") self.vertical_text = get_text_objects(self.layout, ltype="lv") self.pdf_width, self.pdf_height = self.dimensions - self.basename, __ = os.path.splitext(self.filename) + self.rootname, __ = os.path.splitext(self.filename) self.g = Geometry() \ No newline at end of file diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 282a96a..a758af7 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -85,7 +85,7 @@ class Lattice(BaseParser): return t def _generate_image(self): - self.imagename = ''.join([self.basename, '.png']) + self.imagename = ''.join([self.rootname, '.png']) gs_call = [ "-q", "-sDEVICE=png16m", "-o", self.imagename, "-r600", self.filename ] @@ -164,7 +164,7 @@ class Lattice(BaseParser): v_s = kwargs.get('v_s') h_s = kwargs.get('h_s') if v_s is None or h_s is None: - raise ValueError('No segments found on {}'.format(self.basename)) + raise ValueError('No segments found on {}'.format(self.rootname)) table = Table(cols, rows) # set table edges to True using ver+hor lines @@ -199,7 +199,7 @@ class Lattice(BaseParser): table.accuracy = accuracy table.whitespace = whitespace table.order = table_idx + 1 - table.page = int(os.path.basename(self.basename).replace('page-', '')) + table.page = int(os.path.basename(self.rootname).replace('page-', '')) return table @@ -219,7 +219,7 @@ class Lattice(BaseParser): if not self.horizontal_text: warnings.warn("No tables found on {}".format( - os.path.basename(self.basename))) + os.path.basename(self.rootname))) return [], self.g self._generate_image() diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 1849a0c..fe3a3e8 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -32,12 +32,6 @@ class Stream(BaseParser): self.flag_size = flag_size self.debug = debug - def _validate_columns(self): - if self.table_area is not None and self.columns is not None: - if len(self.table_area) != len(self.columns): - raise ValueError("Length of table_area and columns" - " should be equal") - @staticmethod def _text_bbox(t_bbox): xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]]) @@ -125,6 +119,12 @@ class Stream(BaseParser): for i in range(0, len(cols) - 1)] return cols + def _validate_columns(self): + if self.table_area is not None and self.columns is not None: + if len(self.table_area) != len(self.columns): + raise ValueError("Length of table_area and columns" + " should be equal") + def _generate_table_bbox(self): if self.table_area is not None: table_bbox = {} @@ -169,7 +169,7 @@ class Stream(BaseParser): if ncols == 1: # no tables condition warnings.warn("No tables found on {}".format( - os.path.basename(self.basename))) + os.path.basename(self.rootname))) cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r] cols = self._merge_columns(sorted(cols), mtol=self.mtol) @@ -213,7 +213,7 @@ class Stream(BaseParser): table.accuracy = accuracy table.whitespace = whitespace table.order = table_idx + 1 - table.page = int(os.path.basename(self.basename).replace('page-', '')) + table.page = int(os.path.basename(self.rootname).replace('page-', '')) return table @@ -233,7 +233,7 @@ class Stream(BaseParser): if not self.horizontal_text: warnings.warn("No tables found on {}".format( - os.path.basename(self.basename))) + os.path.basename(self.rootname))) return [], self.g self._generate_table_bbox() From 09ac8f46403a51658cfddf63d62f6c5eef9fc621 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Fri, 7 Sep 2018 05:17:09 +0530 Subject: [PATCH 23/39] Add property n to TableList --- camelot/core.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/camelot/core.py b/camelot/core.py index 2003979..015c533 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -342,6 +342,10 @@ class TableList(object): def _format_func(table, f): return getattr(table, 'to_{}'.format(f)) + @property + def n(self): + return len(self._tables) + def _write_file(self, f=None, **kwargs): dirname = kwargs.get('dirname') root = kwargs.get('root') From 20acda22591d5f91ef3f9c569cc33340b7087e0e Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Fri, 7 Sep 2018 05:53:19 +0530 Subject: [PATCH 24/39] Fix current logging --- camelot/parsers/lattice.py | 7 ++-- camelot/parsers/stream.py | 8 ++--- camelot/utils.py | 65 +++++++++++++++++++------------------- 3 files changed, 39 insertions(+), 41 deletions(-) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index a758af7..8b0fc2b 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -2,7 +2,6 @@ from __future__ import division import os import copy import logging -import warnings import subprocess import numpy as np @@ -12,12 +11,12 @@ from .base import BaseParser from ..core import Table from ..utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, merge_close_values, get_table_index, compute_accuracy, - count_empty, encode_) + count_empty, encode_, setup_logging) from ..image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) -logger = logging.getLogger('camelot') +logger = setup_logging(__name__) class Lattice(BaseParser): @@ -218,7 +217,7 @@ class Lattice(BaseParser): self._generate_layout(filename) if not self.horizontal_text: - warnings.warn("No tables found on {}".format( + logger.info("No tables found on {}".format( os.path.basename(self.rootname))) return [], self.g diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index fe3a3e8..37e9bcf 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -1,7 +1,6 @@ from __future__ import division import os import logging -import warnings import numpy as np import pandas as pd @@ -12,7 +11,7 @@ from ..utils import (text_in_bbox, get_table_index, compute_accuracy, count_empty, encode_) -logger = logging.getLogger('camelot') +logger = setup_logging(__name__) class Stream(BaseParser): @@ -167,8 +166,7 @@ class Stream(BaseParser): else: ncols = max(set(elements), key=elements.count) if ncols == 1: - # no tables condition - warnings.warn("No tables found on {}".format( + logger.info("No tables found on {}".format( os.path.basename(self.rootname))) cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r] @@ -232,7 +230,7 @@ class Stream(BaseParser): self._generate_layout(filename) if not self.horizontal_text: - warnings.warn("No tables found on {}".format( + logger.info("No tables found on {}".format( os.path.basename(self.rootname))) return [], self.g diff --git a/camelot/utils.py b/camelot/utils.py index 39ab918..7eaad84 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -18,6 +18,34 @@ from pdfminer.layout import (LAParams, LTAnno, LTChar, LTTextLineHorizontal, LTTextLineVertical) +def setup_logging(name): + """ + + Parameters + ---------- + name + + Returns + ------- + + """ + logger = logging.getLogger(name) + + format_string = '%(asctime)s - %(levelname)s - %(funcName)s - %(message)s' + formatter = logging.Formatter(format_string, datefmt='%Y-%m-%dT%H:%M:%S') + + handler = logging.StreamHandler() + handler.setLevel(logging.INFO) + handler.setFormatter(formatter) + + logger.addHandler(handler) + + return logger + + +logger = setup_logging(__name__) + + def translate(x1, x2): """ @@ -143,37 +171,6 @@ def scale_image(tables, v_segments, h_segments, factors): return tables_new, v_segments_new, h_segments_new -def setup_logging(log_filepath): - """ - - Parameters - ---------- - log_filepath - - Returns - ------- - - """ - logger = logging.getLogger("camelot") - logger.setLevel(logging.DEBUG) - # Log File Handler (Associating one log file per webservice run) - log_file_handler = logging.FileHandler(log_filepath, - mode='a', - encoding='utf-8') - log_file_handler.setLevel(logging.DEBUG) - format_string = '%(asctime)s - %(levelname)s - %(funcName)s - %(message)s' - formatter = logging.Formatter(format_string, datefmt='%Y-%m-%dT%H:%M:%S') - log_file_handler.setFormatter(formatter) - logger.addHandler(log_file_handler) - # Stream Log Handler (For console) - stream_log_handler = logging.StreamHandler() - stream_log_handler.setLevel(logging.INFO) - formatter = logging.Formatter(format_string, datefmt='%Y-%m-%dT%H:%M:%S') - stream_log_handler.setFormatter(formatter) - logger.addHandler(stream_log_handler) - return logger - - def get_rotation(lttextlh, lttextlv, ltchar): """ @@ -419,7 +416,11 @@ def get_table_index(table, t, direction, split_text=False, flag_size=True): else: lt_col_overlap.append(-1) if len(filter(lambda x: x != -1, lt_col_overlap)) == 0: - logging.warning("Text did not fit any column.") + text = t.get_text().strip('\n') + text_range = (t.x0, t.x1) + col_range = (table.cols[0][0], table.cols[-1][1]) + logger.info("{} {} does not lie in column range {}".format( + text, text_range, col_range)) r_idx = r c_idx = lt_col_overlap.index(max(lt_col_overlap)) break From b3f840bba99419c169dcc28d361f2dbe54bbf0fa Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Fri, 7 Sep 2018 06:04:45 +0530 Subject: [PATCH 25/39] Change utils function names --- camelot/parsers/lattice.py | 4 ++-- camelot/parsers/stream.py | 4 ++-- camelot/utils.py | 48 +++++++++++++++++++------------------- 3 files changed, 28 insertions(+), 28 deletions(-) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 8b0fc2b..727e00b 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -11,7 +11,7 @@ from .base import BaseParser from ..core import Table from ..utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, merge_close_values, get_table_index, compute_accuracy, - count_empty, encode_, setup_logging) + count_empty_strings, encode_, setup_logging) from ..image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) @@ -194,7 +194,7 @@ class Lattice(BaseParser): table.df = pd.DataFrame(data) table.shape = table.df.shape - whitespace, __, __ = count_empty(data) + whitespace, __, __ = count_empty_strings(data) table.accuracy = accuracy table.whitespace = whitespace table.order = table_idx + 1 diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 37e9bcf..9d12384 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -8,7 +8,7 @@ import pandas as pd from .base import BaseParser from ..core import Table from ..utils import (text_in_bbox, get_table_index, compute_accuracy, - count_empty, encode_) + count_empty_strings, encode_) logger = setup_logging(__name__) @@ -207,7 +207,7 @@ class Stream(BaseParser): table.df = pd.DataFrame(data) table.shape = table.df.shape - whitespace, __, __ = count_empty(data) + whitespace, __, __ = count_empty_strings(data) table.accuracy = accuracy table.whitespace = whitespace table.order = table_idx + 1 diff --git a/camelot/utils.py b/camelot/utils.py index 7eaad84..c957a4e 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -287,7 +287,7 @@ def merge_close_values(ar, mtol=2): return ret -def flag_on_size(textline, direction): +def flag_font_size(textline, direction): """ Parameters @@ -381,7 +381,7 @@ def split_textline(table, textline, direction, flag_size=True): grouped_chars = [] for key, chars in groupby(cut_text, itemgetter(0, 1)): if flag_size: - grouped_chars.append((key[0], key[1], flag_on_size([t[2] for t in chars], direction))) + grouped_chars.append((key[0], key[1], flag_font_size([t[2] for t in chars], direction))) else: gchars = [t[2].get_text() for t in chars] grouped_chars.append((key[0], key[1], ''.join(gchars).strip('\n'))) @@ -444,7 +444,7 @@ def get_table_index(table, t, direction, split_text=False, flag_size=True): return split_textline(table, t, direction, flag_size=flag_size), error else: if flag_size: - return [(r_idx, c_idx, flag_on_size(t._objs, direction))], error + return [(r_idx, c_idx, flag_font_size(t._objs, direction))], error else: return [(r_idx, c_idx, t.get_text().strip('\n'))], error @@ -474,27 +474,7 @@ def compute_accuracy(error_weights): return score -def remove_empty(d): - """ - - Parameters - ---------- - d - - Returns - ------- - - """ - for i, row in enumerate(d): - if row == [''] * len(row): - d.pop(i) - d = zip(*d) - d = [list(row) for row in d if any(row)] - d = zip(*d) - return d - - -def count_empty(d): +def count_empty_strings(d): """ Parameters @@ -529,6 +509,26 @@ def count_empty(d): return empty_p, r_nempty_cells, c_nempty_cells +def remove_empty_strings(d): + """ + + Parameters + ---------- + d + + Returns + ------- + + """ + for i, row in enumerate(d): + if row == [''] * len(row): + d.pop(i) + d = zip(*d) + d = [list(row) for row in d if any(row)] + d = zip(*d) + return d + + def encode_(ar): """ From e615580e5541005e17bb8008d1d6a70ffa50d789 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Fri, 7 Sep 2018 06:25:13 +0530 Subject: [PATCH 26/39] Fix plot_geometry --- camelot/parsers/lattice.py | 6 +- camelot/parsers/stream.py | 7 ++- camelot/plotting.py | 117 ++++++++++++++++--------------------- 3 files changed, 59 insertions(+), 71 deletions(-) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index 727e00b..bf4fca3 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -232,7 +232,11 @@ class Lattice(BaseParser): table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s) _tables.append(table) - if self.debug: + if self.debug is not None: + text = [] + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) + text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) + self.g.text = text self.g.images = (self.image, self.table_bbox_unscaled) self.g.segments = (self.vertical_segments, self.horizontal_segments) self.g.tables = _tables diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 9d12384..1976505 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -8,7 +8,7 @@ import pandas as pd from .base import BaseParser from ..core import Table from ..utils import (text_in_bbox, get_table_index, compute_accuracy, - count_empty_strings, encode_) + count_empty_strings, encode_, setup_logging) logger = setup_logging(__name__) @@ -20,7 +20,7 @@ class Stream(BaseParser): """ def __init__(self, table_area=None, columns=None, ytol=2, mtol=0, margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, - debug=False): + debug=None): self.table_area = table_area self.columns = columns self._validate_columns() @@ -244,10 +244,11 @@ class Stream(BaseParser): table = self._generate_table(table_idx, cols, rows) _tables.append(table) - if self.debug: + if self.debug is not None: text = [] text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text]) text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text]) self.g.text = text + self.g.tables = _tables return _tables, self.g \ No newline at end of file diff --git a/camelot/plotting.py b/camelot/plotting.py index 793764e..7d4e4d3 100644 --- a/camelot/plotting.py +++ b/camelot/plotting.py @@ -39,71 +39,54 @@ def plot_geometry(filepath, pages='1', mesh=False, geometry_type='text', **kwarg ax.set_xlim(min(xs) - 10, max(xs) + 10) ax.set_ylim(min(ys) - 10, max(ys) + 10) plt.show() - elif geometry_type == 'contour': - try: - for img, table_bbox in geometry.images: - for t in table_bbox.keys(): - cv2.rectangle(img, (t[0], t[1]), - (t[2], t[3]), (255, 0, 0), 3) - plt.imshow(img) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - elif geometry_type == 'joint': - try: - for img, table_bbox in geometry.images: - x_coord = [] - y_coord = [] - for k in table_bbox.keys(): - for coord in table_bbox[k]: - x_coord.append(coord[0]) - y_coord.append(coord[1]) - max_x, max_y = max(x_coord), max(y_coord) - plt.plot(x_coord, y_coord, 'ro') - plt.axis([0, max_x + 100, max_y + 100, 0]) - plt.imshow(img) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - elif geometry_type == 'line': - try: - for v_s, h_s in geometry.segments: - for v in v_s: - plt.plot([v[0], v[2]], [v[1], v[3]]) - for h in h_s: - plt.plot([h[0], h[2]], [h[1], h[3]]) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") elif geometry_type == 'table': - try: - for tables in geometry.tables: - for table in tables: - for r in range(len(table.rows)): - for c in range(len(table.cols)): - if table.cells[r][c].left: - plt.plot([table.cells[r][c].lb[0], - table.cells[r][c].lt[0]], - [table.cells[r][c].lb[1], - table.cells[r][c].lt[1]]) - if table.cells[r][c].right: - plt.plot([table.cells[r][c].rb[0], - table.cells[r][c].rt[0]], - [table.cells[r][c].rb[1], - table.cells[r][c].rt[1]]) - if table.cells[r][c].top: - plt.plot([table.cells[r][c].lt[0], - table.cells[r][c].rt[0]], - [table.cells[r][c].lt[1], - table.cells[r][c].rt[1]]) - if table.cells[r][c].bottom: - plt.plot([table.cells[r][c].lb[0], - table.cells[r][c].rb[0]], - [table.cells[r][c].lb[1], - table.cells[r][c].rb[1]]) - plt.show() - except AttributeError: - raise ValueError("This option can only be used with Lattice.") - else: - raise UserWarning("This method can only be called after" - " debug has been specified.") \ No newline at end of file + for tables in geometry.tables: + for table in tables: + for row in table.cells: + for cell in row: + if cell.left: + plt.plot([cell.lb[0], cell.lt[0]], + [cell.lb[1], cell.lt[1]]) + if cell.right: + plt.plot([cell.rb[0], cell.rt[0]], + [cell.rb[1], cell.rt[1]]) + if cell.top: + plt.plot([cell.lt[0], cell.rt[0]], + [cell.lt[1], cell.rt[1]]) + if cell.bottom: + plt.plot([cell.lb[0], cell.rb[0]], + [cell.lb[1], cell.rb[1]]) + plt.show() + elif geometry_type == 'contour': + if not mesh: + raise ValueError("Use mesh=True") + for img, table_bbox in geometry.images: + for t in table_bbox.keys(): + cv2.rectangle(img, (t[0], t[1]), + (t[2], t[3]), (255, 0, 0), 3) + plt.imshow(img) + plt.show() + elif geometry_type == 'joint': + if not mesh: + raise ValueError("Use mesh=True") + for img, table_bbox in geometry.images: + x_coord = [] + y_coord = [] + for k in table_bbox.keys(): + for coord in table_bbox[k]: + x_coord.append(coord[0]) + y_coord.append(coord[1]) + max_x, max_y = max(x_coord), max(y_coord) + plt.plot(x_coord, y_coord, 'ro') + plt.axis([0, max_x + 100, max_y + 100, 0]) + plt.imshow(img) + plt.show() + elif geometry_type == 'line': + if not mesh: + raise ValueError("Use mesh=True") + for v_s, h_s in geometry.segments: + for v in v_s: + plt.plot([v[0], v[2]], [v[1], v[3]]) + for h in h_s: + plt.plot([h[0], h[2]], [h[1], h[3]]) + plt.show() \ No newline at end of file From d02e5ac6028c59684e237133926e9fbde90e733c Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 8 Sep 2018 01:42:26 +0530 Subject: [PATCH 27/39] Fix code in README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ac28387..6e82334 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ Camelot is a Python 2.7 library and command-line tool for getting tables out of { "accuracy": 96, "whitespace": 80, - "time_taken": 0.5, + "order": 1, "page": 1 } >>> df = tables[0].df From 6948f16f1367045cc01dac4f45410354223726bf Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 8 Sep 2018 01:56:16 +0530 Subject: [PATCH 28/39] Update README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6e82334..a2d9810 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# camelot +# Camelot: PDF Table Parsing for Humans Camelot is a Python 2.7 library and command-line tool for getting tables out of PDF files. From 0f2876a679018969d44e9b522b870b790dcad7aa Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 8 Sep 2018 01:58:56 +0530 Subject: [PATCH 29/39] Update README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a2d9810..3dbaa79 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Camelot: PDF Table Parsing for Humans -Camelot is a Python 2.7 library and command-line tool for getting tables out of PDF files. +Camelot is a Python 2.7 library and command-line tool for extracting tabular data from PDF files. ## Usage From 04383920b41bbdf461a4868df8054ebb477ab667 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 8 Sep 2018 05:38:43 +0530 Subject: [PATCH 30/39] Rename parser keyword arguments --- camelot/core.py | 16 +++++----- camelot/image_processing.py | 26 ++++++++-------- camelot/parsers/lattice.py | 59 ++++++++++++++++++++----------------- camelot/parsers/stream.py | 36 +++++++++++----------- camelot/utils.py | 12 ++++---- 5 files changed, 77 insertions(+), 72 deletions(-) diff --git a/camelot/core.py b/camelot/core.py index 015c533..e3f9bb3 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -139,14 +139,14 @@ class Table(object): cell.left = cell.right = cell.top = cell.bottom = True return self - def set_edges(self, vertical, horizontal, jtol=2): + def set_edges(self, vertical, horizontal, joint_close_tol=2): """ Parameters ---------- vertical horizontal - jtol + joint_close_tol Returns ------- @@ -156,11 +156,11 @@ class Table(object): # find closest x coord # iterate over y coords and find closest start and end points i = [i for i, t in enumerate(self.cols) - if np.isclose(v[0], t[0], atol=jtol)] + if np.isclose(v[0], t[0], atol=joint_close_tol)] j = [j for j, t in enumerate(self.rows) - if np.isclose(v[3], t[0], atol=jtol)] + if np.isclose(v[3], t[0], atol=joint_close_tol)] k = [k for k, t in enumerate(self.rows) - if np.isclose(v[1], t[0], atol=jtol)] + if np.isclose(v[1], t[0], atol=joint_close_tol)] if not j: continue J = j[0] @@ -207,11 +207,11 @@ class Table(object): # find closest y coord # iterate over x coords and find closest start and end points i = [i for i, t in enumerate(self.rows) - if np.isclose(h[1], t[0], atol=jtol)] + if np.isclose(h[1], t[0], atol=joint_close_tol)] j = [j for j, t in enumerate(self.cols) - if np.isclose(h[0], t[0], atol=jtol)] + if np.isclose(h[0], t[0], atol=joint_close_tol)] k = [k for k, t in enumerate(self.cols) - if np.isclose(h[2], t[0], atol=jtol)] + if np.isclose(h[2], t[0], atol=joint_close_tol)] if not j: continue J = j[0] diff --git a/camelot/image_processing.py b/camelot/image_processing.py index a1526ef..bdd82fb 100644 --- a/camelot/image_processing.py +++ b/camelot/image_processing.py @@ -7,13 +7,13 @@ import numpy as np from .utils import merge_tuples -def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): +def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2): """ Parameters ---------- imagename - invert + process_background blocksize c @@ -24,7 +24,7 @@ def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): img = cv2.imread(imagename) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) - if invert: + if process_background: threshold = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, blocksize, c) else: @@ -33,14 +33,14 @@ def adaptive_threshold(imagename, invert=False, blocksize=15, c=-2): return img, threshold -def find_lines(threshold, direction='horizontal', scale=15, iterations=0): +def find_lines(threshold, direction='horizontal', line_size_scaling=15, iterations=0): """ Parameters ---------- threshold direction - scale + line_size_scaling iterations Returns @@ -50,10 +50,10 @@ def find_lines(threshold, direction='horizontal', scale=15, iterations=0): lines = [] if direction == 'vertical': - size = threshold.shape[0] // scale + size = threshold.shape[0] // line_size_scaling el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) elif direction == 'horizontal': - size = threshold.shape[1] // scale + size = threshold.shape[1] // line_size_scaling el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1)) elif direction is None: raise ValueError("Specify direction as either 'vertical' or" @@ -148,19 +148,19 @@ def find_table_joints(contours, vertical, horizontal): return tables -def remove_lines(threshold, line_scale=15): +def remove_lines(threshold, line_size_scaling=15): """ Parameters ---------- threshold - line_scale + line_size_scaling Returns ------- """ - size = threshold.shape[0] // line_scale + size = threshold.shape[0] // line_size_scaling vertical_erode_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) horizontal_erode_el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1)) dilate_el = cv2.getStructuringElement(cv2.MORPH_RECT, (10, 10)) @@ -176,19 +176,19 @@ def remove_lines(threshold, line_scale=15): return threshold -def find_cuts(threshold, char_scale=200): +def find_cuts(threshold, char_size_scaling=200): """ Parameters ---------- threshold - char_scale + char_size_scaling Returns ------- """ - size = threshold.shape[0] // char_scale + size = threshold.shape[0] // char_size_scaling char_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) threshold = cv2.erode(threshold, char_el) diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index bf4fca3..ba79230 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -10,7 +10,7 @@ import pandas as pd from .base import BaseParser from ..core import Table from ..utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, - merge_close_values, get_table_index, compute_accuracy, + merge_close_lines, get_table_index, compute_accuracy, count_empty_strings, encode_, setup_logging) from ..image_processing import (adaptive_threshold, find_lines, find_table_contours, find_table_joints) @@ -23,23 +23,24 @@ class Lattice(BaseParser): """ """ - def __init__(self, table_area=None, fill=None, mtol=2, jtol=2, - blocksize=15, threshold_constant=-2, scale=15, iterations=0, - invert=False, margins=(1.0, 0.5, 0.1), split_text=False, - flag_size=True, shift_text=['l', 't'], debug=None): + def __init__(self, table_area=None, process_background=False, + line_size_scaling=15, copy_text=None, shift_text=['l', 't'], + split_text=False, flag_size=True, line_close_tol=2, + joint_close_tol=2, blocksize=15, threshold_constant=-2, + iterations=0, margins=(1.0, 0.5, 0.1), debug=None): self.table_area = table_area - self.fill = fill - self.mtol = mtol - self.jtol = jtol - self.blocksize = blocksize - self.threshold_constant = threshold_constant - self.scale = scale - self.iterations = iterations - self.invert = invert - self.char_margin, self.line_margin, self.word_margin = margins + self.process_background = process_background + self.line_size_scaling = line_size_scaling + self.copy_text = copy_text + self.shift_text = shift_text self.split_text = split_text self.flag_size = flag_size - self.shift_text = shift_text + self.line_close_tol = line_close_tol + self.joint_close_tol = joint_close_tol + self.blocksize = blocksize + self.threshold_constant = threshold_constant + self.iterations = iterations + self.char_margin, self.line_margin, self.word_margin = margins self.debug = debug @staticmethod @@ -67,8 +68,8 @@ class Lattice(BaseParser): return indices @staticmethod - def _fill_spanning(t, fill=None): - for f in fill: + def _copy_spanning_text(t, copy_text=None): + for f in copy_text: if f == "h": for i in range(len(t.cells)): for j in range(len(t.cells[i])): @@ -96,7 +97,7 @@ class Lattice(BaseParser): stderr=subprocess.STDOUT) def _generate_table_bbox(self): - self.image, self.threshold = adaptive_threshold(self.imagename, invert=self.invert, + self.image, self.threshold = adaptive_threshold(self.imagename, process_background=self.process_background, blocksize=self.blocksize, c=self.threshold_constant) image_width = self.image.shape[1] image_height = self.image.shape[0] @@ -107,10 +108,12 @@ class Lattice(BaseParser): image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height) pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height) - vertical_mask, vertical_segments = find_lines(self.threshold, - direction='vertical', scale=self.scale, iterations=self.iterations) - horizontal_mask, horizontal_segments = find_lines(self.threshold, - direction='horizontal', scale=self.scale, iterations=self.iterations) + vertical_mask, vertical_segments = find_lines( + self.threshold, direction='vertical', + line_size_scaling=self.line_size_scaling, iterations=self.iterations) + horizontal_mask, horizontal_segments = find_lines( + self.threshold, direction='horizontal', + line_size_scaling=self.line_size_scaling, iterations=self.iterations) if self.table_area is not None: areas = [] @@ -149,8 +152,10 @@ class Lattice(BaseParser): cols.extend([tk[0], tk[2]]) rows.extend([tk[1], tk[3]]) # sort horizontal and vertical segments - cols = merge_close_values(sorted(cols), mtol=self.mtol) - rows = merge_close_values(sorted(rows, reverse=True), mtol=self.mtol) + cols = merge_close_lines( + sorted(cols), line_close_tol=self.line_close_tol) + rows = merge_close_lines( + sorted(rows, reverse=True), line_close_tol=self.line_close_tol) # make grid using x and y coord of shortlisted rows and cols cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] @@ -167,7 +172,7 @@ class Lattice(BaseParser): table = Table(cols, rows) # set table edges to True using ver+hor lines - table = table.set_edges(v_s, h_s, jtol=self.jtol) + table = table.set_edges(v_s, h_s, joint_close_tol=self.joint_close_tol) # set spanning cells to True table = table.set_span() # set table border edges to True @@ -186,8 +191,8 @@ class Lattice(BaseParser): table.cells[r_idx][c_idx].text = text accuracy = compute_accuracy([[100, pos_errors]]) - if self.fill is not None: - table = Lattice._fill_spanning(table, fill=self.fill) + if self.copy_text is not None: + table = Lattice._copy_spanning_text(table, copy_text=self.copy_text) data = table.data data = encode_(data) diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 1976505..12f4b6b 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -18,17 +18,17 @@ class Stream(BaseParser): """ """ - def __init__(self, table_area=None, columns=None, ytol=2, mtol=0, - margins=(1.0, 0.5, 0.1), split_text=False, flag_size=True, - debug=None): + def __init__(self, table_area=None, columns=None, split_text=False, + flag_size=True, row_close_tol=2, col_close_tol=0, + margins=(1.0, 0.5, 0.1), debug=None): self.table_area = table_area self.columns = columns self._validate_columns() - self.ytol = ytol - self.mtol = mtol - self.char_margin, self.line_margin, self.word_margin = margins self.split_text = split_text self.flag_size = flag_size + self.row_close_tol = row_close_tol + self.col_close_tol = col_close_tol + self.char_margin, self.line_margin, self.word_margin = margins self.debug = debug @staticmethod @@ -41,7 +41,7 @@ class Stream(BaseParser): return text_bbox @staticmethod - def _group_rows(text, ytol=2): + def _group_rows(text, row_close_tol=2): row_y = 0 rows = [] temp = [] @@ -50,7 +50,7 @@ class Stream(BaseParser): # if t.get_text().strip() and all([obj.upright for obj in t._objs if # type(obj) is LTChar]): if t.get_text().strip(): - if not np.isclose(row_y, t.y0, atol=ytol): + if not np.isclose(row_y, t.y0, atol=row_close_tol): rows.append(sorted(temp, key=lambda t: t.x0)) temp = [] row_y = t.y0 @@ -60,24 +60,24 @@ class Stream(BaseParser): return rows @staticmethod - def _merge_columns(l, mtol=0): + def _merge_columns(l, col_close_tol=0): merged = [] for higher in l: if not merged: merged.append(higher) else: lower = merged[-1] - if mtol >= 0: + if col_close_tol >= 0: if (higher[0] <= lower[1] or - np.isclose(higher[0], lower[1], atol=mtol)): + np.isclose(higher[0], lower[1], atol=col_close_tol)): upper_bound = max(lower[1], higher[1]) lower_bound = min(lower[0], higher[0]) merged[-1] = (lower_bound, upper_bound) else: merged.append(higher) - elif mtol < 0: + elif col_close_tol < 0: if higher[0] <= lower[1]: - if np.isclose(higher[0], lower[1], atol=abs(mtol)): + if np.isclose(higher[0], lower[1], atol=abs(col_close_tol)): merged.append(higher) else: upper_bound = max(lower[1], higher[1]) @@ -99,9 +99,9 @@ class Stream(BaseParser): return rows @staticmethod - def _add_columns(cols, text, ytol): + def _add_columns(cols, text, row_close_tol): if text: - text = Stream._group_rows(text, ytol=ytol) + text = Stream._group_rows(text, row_close_tol=row_close_tol) elements = [len(r) for r in text] new_cols = [(t.x0, t.x1) for r in text if len(r) == max(elements) for t in r] @@ -149,7 +149,7 @@ class Stream(BaseParser): self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox) - rows_grouped = self._group_rows(self.t_bbox['horizontal'], ytol=self.ytol) + rows_grouped = self._group_rows(self.t_bbox['horizontal'], row_close_tol=self.row_close_tol) rows = self._join_rows(rows_grouped, text_y_max, text_y_min) elements = [len(r) for r in rows_grouped] @@ -170,7 +170,7 @@ class Stream(BaseParser): os.path.basename(self.rootname))) cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r] - cols = self._merge_columns(sorted(cols), mtol=self.mtol) + cols = self._merge_columns(sorted(cols), col_close_tol=self.col_close_tol) inner_text = [] for i in range(1, len(cols)): left = cols[i - 1][1] @@ -182,7 +182,7 @@ class Stream(BaseParser): for t in self.t_bbox[direction] if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] inner_text.extend(outer_text) - cols = self._add_columns(cols, inner_text, self.ytol) + cols = self._add_columns(cols, inner_text, self.row_close_tol) cols = self._join_columns(cols, text_x_min, text_x_max) return cols, rows diff --git a/camelot/utils.py b/camelot/utils.py index c957a4e..d132b5a 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -236,13 +236,13 @@ def text_in_bbox(bbox, text): return t_bbox -def remove_close_values(ar, mtol=2): +def remove_close_lines(ar, line_close_tol=2): """ Parameters ---------- ar - mtol + line_close_tol Returns ------- @@ -254,20 +254,20 @@ def remove_close_values(ar, mtol=2): ret.append(a) else: temp = ret[-1] - if np.isclose(temp, a, atol=mtol): + if np.isclose(temp, a, atol=line_close_tol): pass else: ret.append(a) return ret -def merge_close_values(ar, mtol=2): +def merge_close_lines(ar, line_close_tol=2): """ Parameters ---------- ar - mtol + line_close_tol Returns ------- @@ -279,7 +279,7 @@ def merge_close_values(ar, mtol=2): ret.append(a) else: temp = ret[-1] - if np.isclose(temp, a, atol=mtol): + if np.isclose(temp, a, atol=line_close_tol): temp = (temp + a) / 2.0 ret[-1] = temp else: From 9d2708171b04722157e8d141fcd31d3c25b867c7 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 8 Sep 2018 05:47:32 +0530 Subject: [PATCH 31/39] Remove old CLI code --- tools/camelot | 508 -------------------------------------------------- 1 file changed, 508 deletions(-) delete mode 100755 tools/camelot diff --git a/tools/camelot b/tools/camelot deleted file mode 100755 index 61a687f..0000000 --- a/tools/camelot +++ /dev/null @@ -1,508 +0,0 @@ -#!/usr/bin/env python2 -from __future__ import print_function -import os -import csv -import sys -import glob -import time -import zipfile -import warnings -import cStringIO - -import numpy as np -from docopt import docopt -from collections import Counter -import matplotlib.pyplot as plt -from PyPDF2 import PdfFileReader - -from camelot.pdf import Pdf -from camelot.lattice import Lattice -from camelot.stream import Stream -from camelot import utils - - -doc = """ -Camelot: PDF parsing made simpler! - -usage: - camelot [options] [...] - -options: - -h, --help Show this screen. - -v, --version Show version. - -p, --pages Comma-separated list of page numbers. - Example: -p 1,3-6,10 [default: 1] - -P, --parallel Parallelize the parsing process. - -f, --format Output format. (csv,tsv,zip,html,json,xlsx) [default: csv] - -l, --log Log to file. - -o, --output Output directory. - -M, --cmargin Char margin. Chars closer than cmargin are - grouped together to form a word. [default: 1.0] - -L, --lmargin Line margin. Lines closer than lmargin are - grouped together to form a textbox. [default: 0.5] - -W, --wmargin Word margin. Insert blank spaces between chars - if distance between words is greater than word - margin. [default: 0.1] - -J, --split_text Split text lines if they span across multiple cells. - -K, --flag_size Flag substring if its size differs from the whole string. - Useful for super and subscripts. - -X, --print-stats List stats on the parsing process. - -Y, --save-stats Save stats to a file. - -Z, --plot Plot distributions. (page,all,rc) - -camelot methods: - lattice Looks for lines between data. - stream Looks for spaces between data. - -See 'camelot -h' for more information on a specific method. -""" - -lattice_doc = """ -Lattice method looks for lines between text to form a table. - -usage: - camelot lattice [-t ...] [-F ...] [-m ...] - [-j ...] [options] [--] - -options: - -t, --tarea Specific table areas to analyze. - -F, --fill Fill data in horizontal and/or vertical spanning - cells. Example: -F h, -F v, -F hv - -m, --mtol Tolerance to account for when merging lines - which are very close. [default: 2] - -j, --jtol Tolerance to account for when matching line endings - with intersections. [default: 2] - -b, --blocksize See adaptive threshold doc. [default: 15] - -C, --constant See adaptive threshold doc. [default: -2] - -s, --scale Scaling factor. Large scaling factor leads to - smaller lines being detected. [default: 15] - -I, --iterations Number of iterations for dilation. [default: 0] - -i, --invert Invert pdf image to make sure that lines are - in foreground. - -T, --shift_text Specify where the text in a spanning cell - should flow, order-sensitive. [default: lt] - -d, --debug Debug by visualizing pdf geometry. - (contour,line,joint,table) Example: -d table -""" - -stream_doc = """ -Stream method looks for whitespaces between text to form a table. - -usage: - camelot stream [-t ...] [-c ...] [-m ...] - [-y ...] [options] [--] - -options: - -t, --tarea Specific table areas to analyze. - -c, --columns Comma-separated list of column x-coordinates. - Example: -c 10.1,20.2,30.3 - -m, --mtol Tolerance to account for when merging columns - together. [default: 0] - -y, --ytol Tolerance to account for when grouping rows - together. [default: 2] - -d, --debug Debug by visualizing textboxes. -""" - - -def plot_table_barchart(r, c, p, pno, tno): - row_idx = [i + 1 for i, row in enumerate(r)] - col_idx = [i + 1 for i, col in enumerate(c)] - r_index = np.arange(len(r)) - c_index = np.arange(len(c)) - width = 0.7 - - plt.figure(figsize=(8, 6)) - plt.subplot(2, 1, 1) - plt.title('Percentage of empty cells in table: {0:.2f}'.format(p)) - plt.xlabel('row index') - plt.ylabel('number of non-empty cells in row') - plt.bar(r_index, r) - plt.xticks(r_index + width * 0.5, row_idx) - plt.ylim(0, len(c)) - - plt.subplot(2, 1, 2) - plt.xlabel('column index') - plt.ylabel('number of non-empty cells in column') - plt.bar(c_index, c) - plt.xticks(c_index + width * 0.5, col_idx) - plt.ylim(0, len(r)) - plt.savefig(''.join([pno, '_', tno, '.png']), dpi=300) - - -def plot_all_barchart(data, output): - r_empty_cells = [] - for page_number in data.keys(): - page = data[page_number] - for table_number in page.keys(): - table = page[table_number] - r_empty_cells.extend([r / float(table['ncols']) for r in table['r_nempty_cells']]) - c = Counter(r_empty_cells) - if 0.0 not in c: - c.update({0.0: 0}) - if 1.0 not in c: - c.update({1.0: 0}) - - plt.figure(figsize=(8, 6)) - plt.xlabel('percentage of non-empty cells in a row') - plt.ylabel('percentage of rows processed') - row_p = [count / float(sum(c.values())) for count in c.values()] - plt.bar(c.keys(), row_p, align='center', width=0.05) - plt.ylim(0, 1.0) - plt.savefig(''.join([output, '_all.png']), dpi=300) - - -def plot_rc_piechart(data, output): - from matplotlib import cm - - tables = 0 - rows, cols = [], [] - for page_number in data.keys(): - page = data[page_number] - for table_number in page.keys(): - table = page[table_number] - tables += 1 - rows.append(table['nrows']) - cols.append(table['ncols']) - - r = Counter(rows) - c = Counter(cols) - - plt.figure(figsize=(8, 6)) - cs1 = cm.Set1(np.arange(len(r)) / float(len(r))) - ax1 = plt.subplot(211, aspect='equal') - ax1.pie(r.values(), colors=cs1, labels=r.keys(), startangle=90) - ax1.set_title('row distribution across tables') - - cs2 = cm.Set1(np.arange(len(c)) / float(len(c))) - ax2 = plt.subplot(212, aspect='equal') - ax2.pie(c.values(), colors=cs2, labels=c.keys(), startangle=90) - ax2.set_title('column distribution across tables') - plt.savefig(''.join([output, '_rc.png']), dpi=300) - - -def print_stats(data, p_time): - from operator import itemgetter - from itertools import groupby - - scores = [] - continuous_tables = [] - total_tables = 0 - for page_number in data.keys(): - page = data[page_number] - total_tables += len(page.keys()) - for table_number in page.keys(): - table = page[table_number] - continuous_tables.append((page_number, table_number, table['ncols'])) - scores.append(table['score']) - avg_score = np.mean(scores) - - ct_pages = [] - header_string = "" - if len(continuous_tables) > 1: - tables = sorted(continuous_tables, key=lambda x: (int(x[0][5:]), int(x[1][6:]))) - for k, g in groupby(tables, key=itemgetter(2)): - g = list(g) - tables_same_ncols = set([int(t[0][5:]) for t in g]) - tables_same_ncols = sorted(list(tables_same_ncols)) - for K, G in groupby(enumerate(tables_same_ncols), key=lambda (i, x): i - x): - G = list(G) - ct_pages.append((str(G[0][1]), str(G[-1][1]))) - - result_headers = [] - for ct in ct_pages: - header_idx = {} - possible_headers = [] - ncols = 0 - for page_number in range(int(ct[0]), int(ct[1]) + 1): - page = data['page-{0}'.format(page_number)] - for table_number in page.keys(): - table = page[table_number] - ncols = table['ncols'] - for i, row in enumerate(table['data']): - try: - header_idx[tuple(row)].append(i) - except KeyError: - header_idx[tuple(row)] = [i] - possible_headers = sorted(header_idx, key=lambda k: len(header_idx[k]), reverse=True)[:10] - possible_headers = filter(lambda z: len(z) == ncols, - [filter(lambda x: x != '', p_h) for p_h in possible_headers]) - modes = [] - for p_h in possible_headers: - try: - modes.append((p_h, max(set(header_idx[p_h]), key=header_idx[p_h].count))) - except KeyError: - pass - header = modes[modes.index(min(modes, key=lambda x: x[1]))][0] - result_headers.append(header) - - header_string = "Multi-page table headers*:\n" - header_string = ''.join([header_string, '\n'.join(['pages {0} -> {1}{2}{3}'.format( - '-'.join([cr[0][0], cr[0][1]]), '"', '","'.join(cr[1]), '"') for cr in zip( - ct_pages, result_headers)])]) - - avg_time = "Time taken per page: {0:.2f} seconds\n".format( - p_time / float(len(data))) if len(data) not in [0, 1] else "" - equal_ncols = "\nMulti-page tables on*: {0}\n".format( - ', '.join(['-'.join(ct) for ct in ct_pages])) if len(data) not in [0, 1] else "" - stats = [len(data), p_time, avg_time, total_tables, avg_score, equal_ncols] - stat_string = ("Pages processed: {0}\nTime taken: {1:.2f} seconds\n" - "{2}Tables found: {3}\nAverage score: {4:.2f}{5}".format(*stats)) - - print(''.join([stat_string, header_string])) - - -def convert_to_html(table): - html = '' - html = ''.join([html, '\n']) - for row in table: - html = ''.join([html, ' \n']) - for data in row: - html = ''.join([html, ' \n']) - html = ''.join([html, ' \n']) - html = ''.join([html, '
', data, '
\n']) - return html - - -def write_to_disk(data, f='csv', output=None, filename=None): - # raise something if filename and/or output are None - fname = os.path.basename(filename) - froot, __ = os.path.splitext(fname) - if f in ['csv', 'tsv']: - delimiter = ',' if f == 'csv' else '\t' - for page_number in sorted(data.keys()): - if data[page_number] is not None: - for table_number in sorted(data[page_number].keys()): - dsvname = '{0}.{1}'.format(''.join([page_number, '_', table_number]), f) - with open(os.path.join(output, dsvname), 'w') as outfile: - writer = csv.writer( - outfile, delimiter=delimiter, quoting=csv.QUOTE_ALL) - for row in data[page_number][table_number]['data']: - writer.writerow(row) - elif f == 'zip': - csv_zip = os.path.join(output, '{0}.zip'.format(froot)) - with zipfile.ZipFile(csv_zip, 'w', zipfile.ZIP_DEFLATED, allowZip64=True) \ - as zfile: - for page_number in sorted(data.keys()): - if data[page_number] is not None: - for table_number in sorted(data[page_number].keys()): - csvname = '{0}.{1}'.format(''.join([page_number, '_', table_number]), 'csv') - outfile = cStringIO.StringIO() - writer = csv.writer( - outfile, delimiter=',', quoting=csv.QUOTE_ALL) - for row in data[page_number][table_number]['data']: - writer.writerow(row) - zfile.writestr(csvname, outfile.getvalue()) - outfile.close() - elif f == 'html': - htmlname = '{0}.html'.format(froot) - for page_number in sorted(data.keys()): - for table_number in sorted(data[page_number].keys()): - with open(os.path.join(output, htmlname), 'a') as htmlfile: - htmlfile.write(convert_to_html(data[page_number][table_number]['data'])) - elif f == 'json': - import json - with open(os.path.join(output, '{0}.json'.format(froot)), 'w') \ - as jsonfile: - json.dump(data, jsonfile) - elif f == 'xlsx': - try: - from pyexcel_xlsx import save_data - from collections import OrderedDict - xlsx_data = OrderedDict() - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - for table_number in sorted(data[page_number].keys(), key=lambda x: int(x[6:])): - sheet_name = ''.join([page_number, '_', table_number]) - xlsx_data.update({sheet_name: - [row for row in data[page_number][table_number]['data']]}) - save_data(os.path.join(output, '{0}.xlsx'.format(froot)), xlsx_data) - except ImportError: - print("link to install docs") - - -if __name__ == '__main__': - start_time = time.time() - - args = docopt(doc, version='0.1', options_first=True) - argv = [args['']] + args[''] - if args[''] == 'lattice': - args.update(docopt(lattice_doc, argv=argv)) - elif args[''] == 'stream': - args.update(docopt(stream_doc, argv=argv)) - - filename = args[''] - filedir = os.path.dirname(args['']) - logname, __ = os.path.splitext(filename) - logname = ''.join([logname, '.log']) - scorename, __ = os.path.splitext(filename) - scorename = ''.join([scorename, '_info.csv']) - pngname, __ = os.path.splitext(filename) - - FORMAT = '%(asctime)s - %(levelname)s - %(message)s' - if args['--log'] is not None: - logger = utils.setup_logging(args['--log']) - else: - logger = utils.setup_logging(os.path.join(os.getcwd(), 'camelot.log')) - - p = [] - if args['--pages'] == '1': - p.append({'start': 1, 'end': 1}) - else: - infile = PdfFileReader(open(filename, 'rb'), strict=False) - if args['--pages'] == 'all': - p.append({'start': 1, 'end': infile.getNumPages()}) - else: - for r in args['--pages'].split(','): - if '-' in r: - a, b = r.split('-') - if b == 'end': - b = infile.getNumPages() - p.append({'start': int(a), 'end': int(b)}) - else: - p.append({'start': int(r), 'end': int(r)}) - - logger.info('Applying {0} method on {1}'.format(args[''], - os.path.basename(filename))) - margins = (float(args['--cmargin']), float(args['--lmargin']), - float(args['--wmargin'])) - if args[''] == 'lattice': - try: - kwargs = { - 'table_area': args['--tarea'] if args['--tarea'] else None, - 'fill': args['--fill'] if args['--fill'] else None, - 'mtol': [int(m) for m in args['--mtol']], - 'jtol': [int(j) for j in args['--jtol']], - 'blocksize': int(args['--blocksize']), - 'threshold_constant': float(args['--constant']), - 'scale': int(args['--scale']), - 'iterations': int(args['--iterations']), - 'invert': args['--invert'], - 'margins': margins, - 'split_text': args['--split_text'], - 'flag_size': args['--flag_size'], - 'shift_text': list(args['--shift_text']) if args['--shift_text'] else ['l', 't'], - 'debug': args['--debug'] - } - manager = Pdf(Lattice(**kwargs), filename, pagenos=p, clean=True, - parallel=args['--parallel']) - data = manager.extract() - - processing_time = time.time() - start_time - logger.info("Finished processing in " + str(processing_time) + " seconds") - - if args['--plot']: - if args['--output']: - pngname = os.path.join(args['--output'], os.path.basename(pngname)) - plot_type = args['--plot'].split(',') - if 'page' in plot_type: - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - plot_table_barchart(table['r_nempty_cells'], - table['c_nempty_cells'], - table['empty_p'], - page_number, - table_number) - - if 'all' in plot_type: - plot_all_barchart(data, pngname) - - if 'rc' in plot_type: - plot_rc_piechart(data, pngname) - - if args['--print-stats']: - print_stats(data, processing_time) - - if args['--save-stats']: - if args['--output']: - scorename = os.path.join(args['--output'], os.path.basename(scorename)) - with open(scorename, 'w') as score_file: - score_file.write('table,nrows,ncols,empty_p,line_p,text_p,score\n') - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - score_file.write('{0},{1},{2},{3},{4},{5},{6}\n'.format( - ''.join([page_number, '_', table_number]), - table['nrows'], - table['ncols'], - table['empty_p'], - table['line_p'], - table['text_p'], - table['score'])) - if args['--debug']: - manager.debug_plot() - except Exception as e: - logger.exception(e.message, exc_info=True) - sys.exit() - elif args[''] == 'stream': - try: - kwargs = { - 'table_area': args['--tarea'] if args['--tarea'] else None, - 'columns': args['--columns'] if args['--columns'] else None, - 'ytol': [int(y) for y in args['--ytol']], - 'mtol': [int(m) for m in args['--mtol']], - 'margins': margins, - 'split_text': args['--split_text'], - 'flag_size': args['--flag_size'], - 'debug': args['--debug'] - } - manager = Pdf(Stream(**kwargs), filename, pagenos=p, clean=True, - parallel=args['--parallel']) - data = manager.extract() - - processing_time = time.time() - start_time - logger.info("Finished processing in " + str(processing_time) + " seconds") - - if args['--plot']: - if args['--output']: - pngname = os.path.join(args['--output'], os.path.basename(pngname)) - plot_type = args['--plot'].split(',') - if 'page' in plot_type: - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - plot_table_barchart(table['r_nempty_cells'], - table['c_nempty_cells'], - table['empty_p'], - page_number, - table_number) - - if 'all' in plot_type: - plot_all_barchart(data, pngname) - - if 'rc' in plot_type: - plot_rc_piechart(data, pngname) - - if args['--print-stats']: - print_stats(data, processing_time) - - if args['--save-stats']: - if args['--output']: - scorename = os.path.join(args['--output'], os.path.basename(scorename)) - with open(scorename, 'w') as score_file: - score_file.write('table,nrows,ncols,empty_p,,score\n') - for page_number in sorted(data.keys(), key=lambda x: int(x[5:])): - page = data[page_number] - for table_number in sorted(page.keys(), key=lambda x: int(x[6:])): - table = page[table_number] - score_file.write('{0},{1},{2},{3},{4}\n'.format( - ''.join([page_number, '_', table_number]), - table['nrows'], - table['ncols'], - table['empty_p'], - table['score'])) - - if args['--debug']: - manager.debug_plot() - except Exception as e: - logger.exception(e.message, exc_info=True) - sys.exit() - - if args.get('--debug') is not None and args['--debug']: - print("See 'camelot -h' for various parameters you can tweak.") - else: - output = filedir if args['--output'] is None else args['--output'] - write_to_disk(data, f=args['--format'], - output=output, filename=filename) From e0b55f06931383431938b0900bb78a6568a66769 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sat, 8 Sep 2018 18:38:59 +0530 Subject: [PATCH 32/39] Remove examples and debug, restructure tests dir --- debug/hough_opencv.py | 53 ------ debug/hough_skimage.py | 75 -------- debug/houghp_skimage.py | 49 ----- debug/morph_transform.py | 114 ------------ debug/plot_geo.py | 167 ------------------ debug/plot_intensity.py | 69 -------- debug/print_text.py | 83 --------- debug/threshold.py | 41 ----- examples/demo_lattice.py | 11 -- examples/demo_lattice_fill.py | 13 -- examples/demo_lattice_invert.py | 13 -- examples/demo_lattice_rotation.py | 11 -- examples/demo_lattice_twotables.py | 11 -- examples/demo_stream.py | 8 - examples/demo_stream_columns.py | 13 -- examples/files/consistent_rows.pdf | Bin 184194 -> 0 bytes examples/files/inconsistent_rows.pdf | Bin 45085 -> 0 bytes examples/files/left_rotated_table.pdf | Bin 16638 -> 0 bytes examples/files/right_rotated_table.pdf | Bin 17035 -> 0 bytes tests/budget_2014-15.pdf | Bin 338830 -> 0 bytes tests/column_span_1.pdf | Bin 15014 -> 0 bytes tests/column_span_2.pdf | Bin 24313 -> 0 bytes tests/{ => files}/agstat.pdf | Bin tests/{ => files}/assam.pdf | 0 {examples => tests}/files/budget_2014-15.pdf | Bin {examples => tests}/files/column_span_1.pdf | Bin {examples => tests}/files/column_span_2.pdf | Bin tests/{ => files}/district_health.pdf | Bin tests/{ => files}/electoral_roll.pdf | Bin tests/{ => 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tests/row_span_2.pdf delete mode 100644 tests/twotables_1.pdf delete mode 100644 tests/twotables_2.pdf diff --git a/debug/hough_opencv.py b/debug/hough_opencv.py deleted file mode 100644 index 79140f8..0000000 --- a/debug/hough_opencv.py +++ /dev/null @@ -1,53 +0,0 @@ -""" -usage: python hough_opencv.py file.png - -finds lines present in an image using opencv's hough transform. -""" - -import sys -import time - -import cv2 -import numpy as np -import matplotlib.pyplot as plt - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -@timeit -def main(): - image = cv2.imread(sys.argv[1]) - print "image dimensions -> {0}".format(image.shape) - gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) - edges = cv2.Canny(gray, 50, 150, apertureSize=3) - - lines = cv2.HoughLines(edges, 1, np.pi / 180, 200) - print "found {0} lines".format(len(lines)) - for line in lines: - r, theta = line[0] - # filter horizontal and vertical lines - if theta == 0 or np.isclose(theta, np.pi / 2): - x0 = r * np.cos(theta) - y0 = r * np.sin(theta) - x1 = int(x0 + 10000 * (-np.sin(theta))) - y1 = int(y0 + 10000 * (np.cos(theta))) - x2 = int(x0 - 10000 * (-np.sin(theta))) - y2 = int(y0 - 10000 * (np.cos(theta))) - cv2.line(image, (x1, y1), (x2, y2), (0, 0, 255), 5) - plt.imshow(image) - plt.show() - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() \ No newline at end of file diff --git a/debug/hough_skimage.py b/debug/hough_skimage.py deleted file mode 100644 index 93012fc..0000000 --- a/debug/hough_skimage.py +++ /dev/null @@ -1,75 +0,0 @@ -""" -usage: python hough_skimage.py file.png - -finds lines present in an image using scikit-image's hough transform. -""" - -import sys -import time - -import cv2 -import numpy as np -from scipy.misc import imread -import matplotlib.pyplot as plt -from skimage.transform import hough_line, hough_line_peaks - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -@timeit -def main(): - image = cv2.imread(sys.argv[1]) - print "image dimensions -> {0}".format(image.shape) - ret, binary = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY) - binary = np.min(binary, axis=2) - binary = np.where(binary == 255, 0, 255) - rows, cols = binary.shape - pixel = np.zeros(binary.shape) - - fig, ax = plt.subplots(1, 1, figsize=(8,4)) - ax.imshow(image, cmap=plt.cm.gray) - - theta_in = np.linspace(0, np.pi / 2, 10) - h, theta, d = hough_line(binary, theta_in) - for _, angle, dist in zip(*hough_line_peaks(h, theta, d)): - x0 = dist * np.cos(angle) - y0 = dist * np.sin(angle) - x1 = int(x0 + 1000 * (-np.sin(angle))) - y1 = int(y0 + 1000 * (np.cos(angle))) - x2 = int(x0 - 1000 * (-np.sin(angle))) - y2 = int(y0 - 1000 * (np.cos(angle))) - ax.plot((x1, x2), (y1, y2), '-r') - a = np.cos(angle) - b = np.sin(angle) - x = np.arange(binary.shape[1]) - y = np.arange(binary.shape[0]) - x = a * x - y = b * y - R = np.round(np.add(y.reshape((binary.shape[0], 1)), x.reshape((1, binary.shape[1])))) - pixel += np.isclose(R, np.round(dist)) - - pixel = np.clip(pixel, 0, 1) - pixel = np.where(pixel == 1, 0, 1) - binary = np.where(binary == 0, 255, 0) - binary *= pixel.astype(np.int64) - ax.imshow(binary, cmap=plt.cm.gray) - ax.axis((0, cols, rows, 0)) - ax.set_title('Detected lines') - ax.set_axis_off() - ax.set_adjustable('box-forced') - plt.show() - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() \ No newline at end of file diff --git a/debug/houghp_skimage.py b/debug/houghp_skimage.py deleted file mode 100644 index c7b9aec..0000000 --- a/debug/houghp_skimage.py +++ /dev/null @@ -1,49 +0,0 @@ -""" -usage: python hough_prob.py file.png - -finds lines present in an image using scikit-image's hough transform. -""" - -import sys -import time - -from scipy.misc import imread -import matplotlib.pyplot as plt -from skimage.feature import canny -from skimage.transform import probabilistic_hough_line - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -@timeit -def main(): - image = imread(sys.argv[1], mode='L') - edges = canny(image, 2, 1, 25) - lines = probabilistic_hough_line(edges, threshold=1000) - - fig, ax = plt.subplots(1, 1, figsize=(8,4), sharex=True, sharey=True) - ax.imshow(edges * 0) - - for line in lines: - p0, p1 = line - ax.plot((p0[0], p1[0]), (p0[1], p1[1])) - - ax.set_title('Probabilistic Hough') - ax.set_axis_off() - ax.set_adjustable('box-forced') - plt.show() - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() \ No newline at end of file diff --git a/debug/morph_transform.py b/debug/morph_transform.py deleted file mode 100644 index cd6a6b9..0000000 --- a/debug/morph_transform.py +++ /dev/null @@ -1,114 +0,0 @@ -""" -usage: python morph_transform.py file.png scale={int} invert={bool} - -finds lines present in an image using opencv's morph transform. -""" - -import sys -import time - -import cv2 -import numpy as np -import matplotlib.pyplot as plt - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -def mt(imagename, scale=40, invert=False): - img = cv2.imread(imagename) - gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) - if invert: - threshold = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 15, -2) - else: - threshold = cv2.adaptiveThreshold(np.invert(gray), 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 15, -2) - vertical = threshold - horizontal = threshold - - verticalsize = vertical.shape[0] / scale - horizontalsize = horizontal.shape[1] / scale - - ver = cv2.getStructuringElement(cv2.MORPH_RECT, (1, verticalsize)) - hor = cv2.getStructuringElement(cv2.MORPH_RECT, (horizontalsize, 1)) - - vertical = cv2.erode(vertical, ver, (-1, -1)) - vertical = cv2.dilate(vertical, ver, (-1, -1)) - - horizontal = cv2.erode(horizontal, hor, (-1, -1)) - horizontal = cv2.dilate(horizontal, hor, (-1, -1)) - - mask = vertical + horizontal - joints = np.bitwise_and(vertical, horizontal) - contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) - contours = sorted(contours, key=cv2.contourArea, reverse=True)[:10] - - tables = {} - for c in contours: - x, y, w, h = cv2.boundingRect(c) - x1, x2 = x, x + w - y1, y2 = y, y + h - # find number of non-zero values in joints using what boundingRect returns - roi = joints[y:y+h, x:x+w] - jc, _ = cv2.findContours(roi, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE) - if len(jc) <= 4: # remove contours with less than <=4 joints - continue - joint_coords = [] - for j in jc: - jx, jy, jw, jh = cv2.boundingRect(j) - c1, c2 = x + (2*jx + jw) / 2, y + (2*jy + jh) / 2 - joint_coords.append((c1, c2)) - tables[(x1, y2, x2, y1)] = joint_coords - - vcontours, _ = cv2.findContours(vertical, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) - for vc in vcontours: - x, y, w, h = cv2.boundingRect(vc) - x1, x2 = x, x + w - y1, y2 = y, y + h - plt.plot([(x1 + x2) / 2, (x1 + x2) / 2], [y2, y1]) - - hcontours, _ = cv2.findContours(horizontal, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) - for hc in hcontours: - x, y, w, h = cv2.boundingRect(hc) - x1, x2 = x, x + w - y1, y2 = y, y + h - plt.plot([x1, x2], [(y1 + y2) / 2, (y1 + y2) / 2]) - - x_coord = [] - y_coord = [] - for k in tables.keys(): - for coord in tables[k]: - x_coord.append(coord[0]) - y_coord.append(coord[1]) - plt.plot(x_coord, y_coord, 'ro') - - plt.imshow(img) - plt.show() - return tables - - -@timeit -def main(): - try: - scale = int(sys.argv[2].split('=')[1]) - except IndexError: - scale = 40 - try: - invert = bool(sys.argv[3].split('=')[1]) - except IndexError: - invert = False - t = mt(sys.argv[1], scale=scale, invert=invert) - print 'tables found: ', len(t.keys()) - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() diff --git a/debug/plot_geo.py b/debug/plot_geo.py deleted file mode 100644 index 3f7aaf9..0000000 --- a/debug/plot_geo.py +++ /dev/null @@ -1,167 +0,0 @@ -""" -usage: python plot_geo.py file.pdf - python plot_geo.py file.pdf file.png - -prints lines and rectangles present in a pdf file. -""" - -import sys -import time - -import cv2 -import numpy as np -import matplotlib.pyplot as plt -import matplotlib.patches as patches -from pdfminer.pdfpage import PDFPage -from pdfminer.pdfdevice import PDFDevice -from pdfminer.pdfparser import PDFParser -from pdfminer.pdfdocument import PDFDocument -from pdfminer.converter import PDFPageAggregator -from pdfminer.pdfinterp import PDFResourceManager -from pdfminer.pdfinterp import PDFPageInterpreter -from pdfminer.layout import LAParams, LTLine, LTRect -from pdfminer.pdfpage import PDFTextExtractionNotAllowed - - -MIN_LENGTH = 1 -pdf_x, pdf_y, image_x, image_y = [0] * 4 - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -def remove_coords(coords): - merged = [] - for coord in coords: - if not merged: - merged.append(coord) - else: - last = merged[-1] - if np.isclose(last, coord, atol=2): - pass - else: - merged.append(coord) - return merged - - -def parse_layout(pdfname): - global pdf_x, pdf_y - def is_horizontal(line): - if line[0] == line[2]: - return True - return False - - def is_vertical(line): - if line[1] == line[3]: - return True - return False - - vertical, horizontal = [], [] - with open(pdfname, 'rb') as f: - parser = PDFParser(f) - document = PDFDocument(parser) - if not document.is_extractable: - raise PDFTextExtractionNotAllowed - laparams = LAParams() - rsrcmgr = PDFResourceManager() - device = PDFPageAggregator(rsrcmgr, laparams=laparams) - interpreter = PDFPageInterpreter(rsrcmgr, device) - for page in PDFPage.create_pages(document): - interpreter.process_page(page) - layout = device.get_result() - pdf_x, pdf_y = layout.bbox[2], layout.bbox[3] - for obj in layout._objs: - if isinstance(obj, LTLine): - line = (obj.x0, obj.y0, obj.x1, obj.y1) - if is_vertical(line): - vertical.append(line) - elif is_horizontal(line): - horizontal.append(line) - elif isinstance(obj, LTRect): - vertical.append((obj.x0, obj.y1, obj.x0, obj.y0)) - vertical.append((obj.x1, obj.y1, obj.x1, obj.y0)) - horizontal.append((obj.x0, obj.y1, obj.x1, obj.y1)) - horizontal.append((obj.x0, obj.y0, obj.x1, obj.y0)) - return vertical, horizontal - - -def hough_transform(imagename): - global pdf_x, pdf_y, image_x, image_y - img = cv2.imread(imagename) - image_x, image_y = img.shape[1], img.shape[0] - gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) - edges = cv2.Canny(gray, 50, 150, apertureSize=3) - lines = cv2.HoughLines(edges, 1, np.pi/180, 1000) - x = [] - for line in lines: - r, theta = line[0] - x0 = r * np.cos(theta) - x0 *= pdf_x / float(image_x) - x.append(x0) - y = [] - for line in lines: - r, theta = line[0] - y0 = r * np.sin(theta) - y0 = abs(y0 - image_y) - y0 *= pdf_y / float(image_y) - y.append(y0) - x = remove_coords(sorted(set([x0 for x0 in x if x0 > 0]))) - y = remove_coords(sorted(set(y), reverse=True)) - return x, y - - -def plot_lines1(vertical, horizontal): - fig = plt.figure() - ax = fig.add_subplot(111, aspect='equal') - ax.set_xlim(0, 1000) - ax.set_ylim(0, 1000) - - vertical = filter(lambda x: abs(x[1] - x[3]) > MIN_LENGTH, vertical) - horizontal = filter(lambda x: abs(x[0] - x[2]) > MIN_LENGTH, horizontal) - for v in vertical: - ax.plot([v[0], v[2]], [v[1], v[3]]) - for h in horizontal: - ax.plot([h[0], h[2]], [h[1], h[3]]) - plt.show() - - -def plot_lines2(imagename, vertical, horizontal): - x, y = hough_transform(imagename) - fig = plt.figure() - ax = fig.add_subplot(111, aspect='equal') - ax.set_xlim(0, 1000) - ax.set_ylim(0, 1000) - - for x0 in x: - for v in vertical: - if np.isclose(x0, v[0], atol=2): - ax.plot([v[0], v[2]], [v[1], v[3]]) - for y0 in y: - for h in horizontal: - if np.isclose(y0, h[1], atol=2): - ax.plot([h[0], h[2]], [h[1], h[3]]) - plt.show() - - -@timeit -def main(): - vertical, horizontal = parse_layout(sys.argv[1]) - if len(sys.argv) == 2: - plot_lines1(vertical, horizontal) - elif len(sys.argv) == 3: - plot_lines1(vertical, horizontal) - plot_lines2(sys.argv[2], vertical, horizontal) - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() \ No newline at end of file diff --git a/debug/plot_intensity.py b/debug/plot_intensity.py deleted file mode 100644 index 87c386b..0000000 --- a/debug/plot_intensity.py +++ /dev/null @@ -1,69 +0,0 @@ -""" -usage: python plot_intensity.py file.png threshold - -plots sum of pixel intensities on both axes for an image. -""" -import sys -import time -from itertools import groupby -from operator import itemgetter - -import cv2 -import numpy as np -import matplotlib.pyplot as plt -from pylab import barh - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -def plot_barchart(ar): - n = len(ar) - ind = np.arange(n) - width = 0.35 - plt.bar(ind, ar, width, color='r', zorder=1) - plt.show() - - -def merge_lines(lines): - ranges = [] - for k, g in groupby(enumerate(lines), lambda (i, x): i-x): - group = map(itemgetter(1), g) - ranges.append((group[0], group[-1])) - merged = [] - for r in ranges: - merged.append((r[0] + r[1]) / 2) - return merged - - -def plot_lines(image, lines): - for y in lines: - plt.plot([0, image.shape[1]], [y, y]) - plt.imshow(image) - plt.show() - - -@timeit -def main(): - image = cv2.imread(sys.argv[1]) - gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) - threshold = cv2.adaptiveThreshold(np.invert(gray), 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 15, -2) - y_proj = np.sum(threshold, axis=1) - line_threshold = int(sys.argv[2]) - lines = np.where(y_proj < line_threshold)[0] - lines = merge_lines(lines) - plot_lines(image, lines) - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() diff --git a/debug/print_text.py b/debug/print_text.py deleted file mode 100644 index 1ab83d2..0000000 --- a/debug/print_text.py +++ /dev/null @@ -1,83 +0,0 @@ -""" -usage: python print_text.py file.pdf - -prints horizontal and vertical text lines present in a pdf file. -""" - -import sys -import time -from pprint import pprint - -from pdfminer.layout import LAParams -from pdfminer.pdfpage import PDFPage -from pdfminer.pdfdevice import PDFDevice -from pdfminer.pdfparser import PDFParser -from pdfminer.pdfdocument import PDFDocument -from pdfminer.converter import PDFPageAggregator -from pdfminer.pdfinterp import PDFPageInterpreter -from pdfminer.pdfinterp import PDFResourceManager -from pdfminer.pdfpage import PDFTextExtractionNotAllowed -from pdfminer.layout import (LAParams, LTChar, LTAnno, LTTextBoxHorizontal, - LTTextLineHorizontal, LTTextLineVertical, LTLine) - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -def extract_text_objects(layout, LTObject, t=None): - if t is None: - t = [] - try: - for obj in layout._objs: - if isinstance(obj, LTObject): - t.append(obj) - else: - t += extract_text_objects(obj, LTObject) - except AttributeError: - pass - return t - - -@timeit -def main(): - with open(sys.argv[1], 'rb') as f: - parser = PDFParser(f) - document = PDFDocument(parser) - if not document.is_extractable: - raise PDFTextExtractionNotAllowed - # 2.0, 0.5, 0.1 - kwargs = { - 'char_margin': 1.0, - 'line_margin': 0.5, - 'word_margin': 0.1, - 'detect_vertical': True - } - laparams = LAParams(**kwargs) - rsrcmgr = PDFResourceManager() - device = PDFPageAggregator(rsrcmgr, laparams=laparams) - interpreter = PDFPageInterpreter(rsrcmgr, device) - for page in PDFPage.create_pages(document): - interpreter.process_page(page) - layout = device.get_result() - lh = extract_text_objects(layout, LTTextLineHorizontal) - lv = extract_text_objects(layout, LTTextLineVertical) - print "number of horizontal text lines -> {0}".format(len(lh)) - print "horizontal text lines ->" - pprint([t.get_text() for t in lh]) - print "number of vertical text lines -> {0}".format(len(lv)) - print "vertical text lines ->" - pprint([t.get_text() for t in lv]) - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() \ No newline at end of file diff --git a/debug/threshold.py b/debug/threshold.py deleted file mode 100644 index ea716b2..0000000 --- a/debug/threshold.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -usage: python threshold.py file.png blocksize threshold_constant - -shows thresholded image. -""" - -import sys -import time - -import cv2 -import numpy as np -import matplotlib.pyplot as plt - - -def timeit(func): - def timed(*args, **kw): - start = time.time() - result = func(*args, **kw) - end = time.time() - print 'Function: %r took: %2.4f seconds' % (func.__name__, end - start) - return result - return timed - - -@timeit -def main(): - img = cv2.imread(sys.argv[1]) - gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) - blocksize = int(sys.argv[2]) - threshold_constant = float(sys.argv[3]) - threshold = cv2.adaptiveThreshold(np.invert(gray), 255, - cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, blocksize, threshold_constant) - plt.imshow(img) - plt.show() - - -if __name__ == '__main__': - if len(sys.argv) == 1: - print __doc__ - else: - main() \ No newline at end of file diff --git a/examples/demo_lattice.py b/examples/demo_lattice.py deleted file mode 100644 index b3ff2ea..0000000 --- a/examples/demo_lattice.py +++ /dev/null @@ -1,11 +0,0 @@ -from camelot import Pdf -from camelot import Lattice - - -extractor = Lattice(Pdf("files/column_span_1.pdf", clean=True), scale=30) -tables = extractor.get_tables() -print tables - -extractor = Lattice(Pdf("files/column_span_2.pdf"), clean=True, scale=30) -tables = extractor.get_tables() -print tables diff --git a/examples/demo_lattice_fill.py b/examples/demo_lattice_fill.py deleted file mode 100644 index 3546b00..0000000 --- a/examples/demo_lattice_fill.py +++ /dev/null @@ -1,13 +0,0 @@ -from camelot import Pdf -from camelot import Lattice - - -extractor = Lattice( - Pdf("files/row_span_1.pdf", clean=True), fill='v', scale=40) -tables = extractor.get_tables() -print tables - -extractor = Lattice( - Pdf("files/row_span_2.pdf", clean=True), fill='v', scale=30) -tables = extractor.get_tables() -print tables diff --git a/examples/demo_lattice_invert.py b/examples/demo_lattice_invert.py deleted file mode 100644 index a0bf41e..0000000 --- a/examples/demo_lattice_invert.py +++ /dev/null @@ -1,13 +0,0 @@ -from camelot import Pdf -from camelot import Lattice - - -extractor = Lattice(Pdf("files/lines_in_background_1.pdf", - clean=True), scale=30, invert=True) -tables = extractor.get_tables() -print tables - -extractor = Lattice(Pdf("files/lines_in_background_2.pdf", - clean=True), scale=30, invert=True) -tables = extractor.get_tables() -print tables diff --git a/examples/demo_lattice_rotation.py b/examples/demo_lattice_rotation.py deleted file mode 100644 index d201cf1..0000000 --- a/examples/demo_lattice_rotation.py +++ /dev/null @@ -1,11 +0,0 @@ -from camelot import Pdf -from camelot import Lattice - - -extractor = Lattice(Pdf("files/left_rotated_table.pdf", clean=True), scale=30) -tables = extractor.get_tables() -print tables - -extractor = Lattice(Pdf("files/right_rotated_table.pdf", clean=True), scale=30) -tables = extractor.get_tables() -print tables diff --git a/examples/demo_lattice_twotables.py b/examples/demo_lattice_twotables.py deleted file mode 100644 index 91c6b93..0000000 --- a/examples/demo_lattice_twotables.py +++ /dev/null @@ -1,11 +0,0 @@ -from camelot import Pdf -from camelot import Lattice - - -extractor = Lattice(Pdf("files/twotables_1.pdf", clean=True), scale=40) -tables = extractor.get_tables() -print tables - -extractor = Lattice(Pdf("files/twotables_2.pdf", clean=True), scale=30) -tables = extractor.get_tables() -print tables diff --git a/examples/demo_stream.py b/examples/demo_stream.py deleted file mode 100644 index baee02f..0000000 --- a/examples/demo_stream.py +++ /dev/null @@ -1,8 +0,0 @@ -from camelot import Pdf -from camelot import Stream - - -extractor = Stream(Pdf("files/budget_2014-15.pdf", - char_margin=1.0, clean=True)) -tables = extractor.get_tables() -print tables diff --git a/examples/demo_stream_columns.py b/examples/demo_stream_columns.py deleted file mode 100644 index 79cc6cb..0000000 --- a/examples/demo_stream_columns.py +++ /dev/null @@ -1,13 +0,0 @@ -from camelot import Pdf -from camelot import Stream - - -extractor = Stream(Pdf("files/inconsistent_rows.pdf", char_margin=1.0), - columns="65,95,285,640,715,780", ytol=10) -tables = extractor.get_tables() -print tables - -extractor = Stream(Pdf("files/consistent_rows.pdf", char_margin=1.0), - columns="28,67,180,230,425,475,700", ytol=5) -tables = extractor.get_tables() -print tables diff --git a/examples/files/consistent_rows.pdf b/examples/files/consistent_rows.pdf deleted file mode 100644 index e0213aa96c405601e7d6131f3a7cd0b5834a52b9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 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tests/{test_stream.py => test_camelot.py} | 120 ++++++++++++++++++++- tests/test_lattice.py | 125 ---------------------- 2 files changed, 117 insertions(+), 128 deletions(-) rename tests/{test_stream.py => test_camelot.py} (73%) delete mode 100644 tests/test_lattice.py diff --git a/tests/test_stream.py b/tests/test_camelot.py similarity index 73% rename from tests/test_stream.py rename to tests/test_camelot.py index a947b2b..14253a8 100644 --- a/tests/test_stream.py +++ b/tests/test_camelot.py @@ -1,10 +1,9 @@ -# coding: utf8 import os from nose.tools import assert_equal from camelot.pdf import Pdf -from camelot.stream import Stream +from camelot.lattice import Lattice testdir = os.path.dirname(os.path.abspath(__file__)) @@ -217,4 +216,119 @@ def test_stream_table_rotation(): pdfname = os.path.join(testdir, "right_rotated_table_2.pdf") manager = Pdf(Stream(flag_size=False), pdfname, clean=True) tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) \ No newline at end of file + assert_equal(tables["page-1"]["table-1"]["data"], data) + + +def test_lattice_basic(): + + data = [ + ["Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""], + ["","","","Improved Speed","Decreased Accel","Eliminate Stops","Decreased Idle"], + ["2012_2","3.30","1.3","5.9%","9.5%","29.2%","17.4%"], + ["2145_1","0.68","11.2","2.4%","0.1%","9.5%","2.7%"], + ["4234_1","0.59","58.7","8.5%","1.3%","8.5%","3.3%"], + ["2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"], + ["4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"] + ] + pdfname = os.path.join(testdir, + "tabula_test_pdfs/icdar2013-dataset/competition-dataset-us/us-030.pdf") + manager = Pdf(Lattice(), pdfname, pagenos=[{'start': 2, 'end': 2}], + clean=True) + tables = manager.extract() + assert_equal(tables['page-2']['table-1']['data'], data) + + +def test_lattice_fill(): + + data = [ + ["Plan Type","County","Plan Name","Totals"], + ["GMC","Sacramento","Anthem Blue Cross","164,380"], + ["GMC","Sacramento","Health Net","126,547"], + ["GMC","Sacramento","Kaiser Foundation","74,620"], + ["GMC","Sacramento","Molina Healthcare","59,989"], + ["GMC","San Diego","Care 1st Health Plan","71,831"], + ["GMC","San Diego","Community Health Group","264,639"], + ["GMC","San Diego","Health Net","72,404"], + ["GMC","San Diego","Kaiser","50,415"], + ["GMC","San Diego","Molina Healthcare","206,430"], + ["GMC","Total GMC Enrollment","","1,091,255"], + ["COHS","Marin","Partnership Health Plan of CA","36,006"], + ["COHS","Mendocino","Partnership Health Plan of CA","37,243"], + ["COHS","Napa","Partnership Health Plan of CA","28,398"], + ["COHS","Solano","Partnership Health Plan of CA","113,220"], + ["COHS","Sonoma","Partnership Health Plan of CA","112,271"], + ["COHS","Yolo","Partnership Health Plan of CA","52,674"], + ["COHS","Del Norte","Partnership Health Plan of CA","11,242"], + ["COHS","Humboldt","Partnership Health Plan of CA","49,911"], + ["COHS","Lake","Partnership Health Plan of CA","29,149"], + ["COHS","Lassen","Partnership Health Plan of CA","7,360"], + ["COHS","Modoc","Partnership Health Plan of CA","2,940"], + ["COHS","Shasta","Partnership Health Plan of CA","61,763"], + ["COHS","Siskiyou","Partnership Health Plan of CA","16,715"], + ["COHS","Trinity","Partnership Health Plan of CA","4,542"], + ["COHS","Merced","Central California Alliance for Health","123,907"], + ["COHS","Monterey","Central California Alliance for Health","147,397"], + ["COHS","Santa Cruz","Central California Alliance for Health","69,458"], + ["COHS","Santa Barbara","CenCal","117,609"], + ["COHS","San Luis Obispo","CenCal","55,761"], + ["COHS","Orange","CalOptima","783,079"], + ["COHS","San Mateo","Health Plan of San Mateo","113,202"], + ["COHS","Ventura","Gold Coast Health Plan","202,217"], + ["COHS","Total COHS Enrollment","","2,176,064"], + ["Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"], + ["PCCM","Los Angeles","AIDS Healthcare Foundation","828"], + ["PCCM","San Francisco","Family Mosaic","25"], + ["PCCM","Total PHP Enrollment","","853"], + ["All Models Total Enrollments","","","10,132,875"], + ["Source: Data Warehouse 12/14/15","","",""] + ] + pdfname = os.path.join(testdir, 'row_span_1.pdf') + manager = Pdf(Lattice(fill='v', scale=40), pdfname, clean=True) + tables = manager.extract() + assert_equal(tables['page-1']['table-1']['data'], data) + + +def test_lattice_invert(): + + data = [ + ["State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"], + ["Delhi","1.12.2009","8","17","1.29","3,665","2,409","1,000"], + ["Rajasthan","2.12.2009 to 19.12.2009","","","","","",""], + ["Gujarat","20.12.2009 to 3.1.2010","6","13","6.03","3,810","2,317","1,453"], + ["Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"], + ["Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"], + ["Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"], + ["Total","","47","92","11.81","22,455","19,584","10,644"] + ] + pdfname = os.path.join(testdir, 'lines_in_background_1.pdf') + manager = Pdf(Lattice(invert=True), pdfname, clean=True) + tables = manager.extract() + assert_equal(tables['page-1']['table-2']['data'], data) + + +def test_lattice_table_rotation(): + + data = [ + ["State","Nutritional Assessment (No. of individuals)","","","","IYCF Practices (No. of mothers: 2011-12)","Blood Pressure (No. of adults: 2011-12)","","Fasting Blood Sugar (No. of adults:2011-12)",""], + ["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"], + ["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"], + ["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"], + ["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"], + ["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"], + ["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"], + ["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"], + ["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"], + ["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"], + ["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"], + ["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"], + ["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"] + ] + pdfname = os.path.join(testdir, 'left_rotated_table_1.pdf') + manager = Pdf(Lattice(), pdfname, clean=True) + tables = manager.extract() + assert_equal(tables['page-1']['table-1']['data'], data) + + pdfname = os.path.join(testdir, 'right_rotated_table_1.pdf') + manager = Pdf(Lattice(), pdfname, clean=True) + tables = manager.extract() + assert_equal(tables['page-1']['table-1']['data'], data) \ No newline at end of file diff --git a/tests/test_lattice.py b/tests/test_lattice.py deleted file mode 100644 index 818e16a..0000000 --- a/tests/test_lattice.py +++ /dev/null @@ -1,125 +0,0 @@ -# coding: utf8 -import os - -from nose.tools import assert_equal - -from camelot.pdf import Pdf -from camelot.lattice import Lattice - - -testdir = os.path.dirname(os.path.abspath(__file__)) - - -def test_lattice_basic(): - - data = [ - ["Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""], - ["","","","Improved Speed","Decreased Accel","Eliminate Stops","Decreased Idle"], - ["2012_2","3.30","1.3","5.9%","9.5%","29.2%","17.4%"], - ["2145_1","0.68","11.2","2.4%","0.1%","9.5%","2.7%"], - ["4234_1","0.59","58.7","8.5%","1.3%","8.5%","3.3%"], - ["2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"], - ["4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"] - ] - pdfname = os.path.join(testdir, - "tabula_test_pdfs/icdar2013-dataset/competition-dataset-us/us-030.pdf") - manager = Pdf(Lattice(), pdfname, pagenos=[{'start': 2, 'end': 2}], - clean=True) - tables = manager.extract() - assert_equal(tables['page-2']['table-1']['data'], data) - - -def test_lattice_fill(): - - data = [ - ["Plan Type","County","Plan Name","Totals"], - ["GMC","Sacramento","Anthem Blue Cross","164,380"], - ["GMC","Sacramento","Health Net","126,547"], - ["GMC","Sacramento","Kaiser Foundation","74,620"], - ["GMC","Sacramento","Molina Healthcare","59,989"], - ["GMC","San Diego","Care 1st Health Plan","71,831"], - ["GMC","San Diego","Community Health Group","264,639"], - ["GMC","San Diego","Health Net","72,404"], - ["GMC","San Diego","Kaiser","50,415"], - ["GMC","San Diego","Molina Healthcare","206,430"], - ["GMC","Total GMC Enrollment","","1,091,255"], - ["COHS","Marin","Partnership Health Plan of CA","36,006"], - ["COHS","Mendocino","Partnership Health Plan of CA","37,243"], - ["COHS","Napa","Partnership Health Plan of CA","28,398"], - ["COHS","Solano","Partnership Health Plan of CA","113,220"], - ["COHS","Sonoma","Partnership Health Plan of CA","112,271"], - ["COHS","Yolo","Partnership Health Plan of CA","52,674"], - ["COHS","Del Norte","Partnership Health Plan of CA","11,242"], - ["COHS","Humboldt","Partnership Health Plan of CA","49,911"], - ["COHS","Lake","Partnership Health Plan of CA","29,149"], - ["COHS","Lassen","Partnership Health Plan of CA","7,360"], - ["COHS","Modoc","Partnership Health Plan of CA","2,940"], - ["COHS","Shasta","Partnership Health Plan of CA","61,763"], - ["COHS","Siskiyou","Partnership Health Plan of CA","16,715"], - ["COHS","Trinity","Partnership Health Plan of CA","4,542"], - ["COHS","Merced","Central California Alliance for Health","123,907"], - ["COHS","Monterey","Central California Alliance for Health","147,397"], - ["COHS","Santa Cruz","Central California Alliance for Health","69,458"], - ["COHS","Santa Barbara","CenCal","117,609"], - ["COHS","San Luis Obispo","CenCal","55,761"], - ["COHS","Orange","CalOptima","783,079"], - ["COHS","San Mateo","Health Plan of San Mateo","113,202"], - ["COHS","Ventura","Gold Coast Health Plan","202,217"], - ["COHS","Total COHS Enrollment","","2,176,064"], - ["Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"], - ["PCCM","Los Angeles","AIDS Healthcare Foundation","828"], - ["PCCM","San Francisco","Family Mosaic","25"], - ["PCCM","Total PHP Enrollment","","853"], - ["All Models Total Enrollments","","","10,132,875"], - ["Source: Data Warehouse 12/14/15","","",""] - ] - pdfname = os.path.join(testdir, 'row_span_1.pdf') - manager = Pdf(Lattice(fill='v', scale=40), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-1']['data'], data) - - -def test_lattice_invert(): - - data = [ - ["State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"], - ["Delhi","1.12.2009","8","17","1.29","3,665","2,409","1,000"], - ["Rajasthan","2.12.2009 to 19.12.2009","","","","","",""], - ["Gujarat","20.12.2009 to 3.1.2010","6","13","6.03","3,810","2,317","1,453"], - ["Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"], - ["Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"], - ["Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"], - ["Total","","47","92","11.81","22,455","19,584","10,644"] - ] - pdfname = os.path.join(testdir, 'lines_in_background_1.pdf') - manager = Pdf(Lattice(invert=True), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-2']['data'], data) - - -def test_lattice_table_rotation(): - - data = [ - ["State","Nutritional Assessment (No. of individuals)","","","","IYCF Practices (No. of mothers: 2011-12)","Blood Pressure (No. of adults: 2011-12)","","Fasting Blood Sugar (No. of adults:2011-12)",""], - ["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"], - ["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"], - ["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"], - ["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"], - ["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"], - ["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"], - ["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"], - ["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"], - ["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"], - ["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"], - ["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"], - ["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"] - ] - pdfname = os.path.join(testdir, 'left_rotated_table_1.pdf') - manager = Pdf(Lattice(), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-1']['data'], data) - - pdfname = os.path.join(testdir, 'right_rotated_table_1.pdf') - manager = Pdf(Lattice(), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-1']['data'], data) \ No newline at end of file From 7c3e531b07226505d3ad6664ac054ef08e26d7d5 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sun, 9 Sep 2018 05:29:24 +0530 Subject: [PATCH 34/39] Port tests --- .gitignore | 2 + camelot/core.py | 4 +- camelot/parsers/lattice.py | 12 +- camelot/parsers/stream.py | 2 +- setup.py | 4 +- ..._table_1.pdf => anticlockwise_table_1.pdf} | Bin ..._table_2.pdf => anticlockwise_table_2.pdf} | Bin ...ackground_1.pdf => background_lines_1.pdf} | Bin ...ackground_2.pdf => background_lines_2.pdf} | Bin ...ated_table_1.pdf => clockwise_table_1.pdf} | Bin ...ated_table_2.pdf => clockwise_table_2.pdf} | Bin tests/test_camelot.py | 334 ------------------ tests/test_common.py | 80 +++++ tests/test_data.py | 189 ++++++++++ 14 files changed, 281 insertions(+), 346 deletions(-) rename tests/files/{left_rotated_table_1.pdf => anticlockwise_table_1.pdf} (100%) rename tests/files/{left_rotated_table_2.pdf => anticlockwise_table_2.pdf} (100%) rename tests/files/{lines_in_background_1.pdf => background_lines_1.pdf} (100%) rename tests/files/{lines_in_background_2.pdf => background_lines_2.pdf} (100%) rename tests/files/{right_rotated_table_1.pdf => clockwise_table_1.pdf} (100%) rename tests/files/{right_rotated_table_2.pdf => clockwise_table_2.pdf} (100%) delete mode 100644 tests/test_camelot.py create mode 100644 tests/test_common.py create mode 100644 tests/test_data.py diff --git a/.gitignore b/.gitignore index 14fc340..5351894 100644 --- a/.gitignore +++ b/.gitignore @@ -6,3 +6,5 @@ build/ dist/ *.egg-info/ .coverage + +.pytest_cache/ diff --git a/camelot/core.py b/camelot/core.py index e3f9bb3..2417291 100644 --- a/camelot/core.py +++ b/camelot/core.py @@ -29,7 +29,7 @@ class Cell(object): self._text = '' def __repr__(self): - return ''.format( self.x1, self.y1, self.x2, self.y2) @property @@ -80,7 +80,7 @@ class Table(object): self.page = None def __repr__(self): - return '<{} shape={}>'.format(self.__class__.__name__, self._shape) + return '<{} shape={}>'.format(self.__class__.__name__, self.shape) @property def data(self): diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py index ba79230..15663dc 100644 --- a/camelot/parsers/lattice.py +++ b/camelot/parsers/lattice.py @@ -25,8 +25,8 @@ class Lattice(BaseParser): """ def __init__(self, table_area=None, process_background=False, line_size_scaling=15, copy_text=None, shift_text=['l', 't'], - split_text=False, flag_size=True, line_close_tol=2, - joint_close_tol=2, blocksize=15, threshold_constant=-2, + split_text=False, flag_size=False, line_close_tol=2, + joint_close_tol=2, threshold_blocksize=15, threshold_constant=-2, iterations=0, margins=(1.0, 0.5, 0.1), debug=None): self.table_area = table_area self.process_background = process_background @@ -37,7 +37,7 @@ class Lattice(BaseParser): self.flag_size = flag_size self.line_close_tol = line_close_tol self.joint_close_tol = joint_close_tol - self.blocksize = blocksize + self.threshold_blocksize = threshold_blocksize self.threshold_constant = threshold_constant self.iterations = iterations self.char_margin, self.line_margin, self.word_margin = margins @@ -98,7 +98,7 @@ class Lattice(BaseParser): def _generate_table_bbox(self): self.image, self.threshold = adaptive_threshold(self.imagename, process_background=self.process_background, - blocksize=self.blocksize, c=self.threshold_constant) + blocksize=self.threshold_blocksize, c=self.threshold_constant) image_width = self.image.shape[1] image_height = self.image.shape[0] image_width_scaler = image_width / float(self.pdf_width) @@ -173,10 +173,10 @@ class Lattice(BaseParser): table = Table(cols, rows) # set table edges to True using ver+hor lines table = table.set_edges(v_s, h_s, joint_close_tol=self.joint_close_tol) - # set spanning cells to True - table = table.set_span() # set table border edges to True table = table.set_border() + # set spanning cells to True + table = table.set_span() pos_errors = [] for direction in self.t_bbox: diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py index 12f4b6b..e1a4980 100644 --- a/camelot/parsers/stream.py +++ b/camelot/parsers/stream.py @@ -19,7 +19,7 @@ class Stream(BaseParser): """ def __init__(self, table_area=None, columns=None, split_text=False, - flag_size=True, row_close_tol=2, col_close_tol=0, + flag_size=False, row_close_tol=2, col_close_tol=0, margins=(1.0, 0.5, 0.1), debug=None): self.table_area = table_area self.columns = columns diff --git a/setup.py b/setup.py index 1d1d4ec..b496b51 100644 --- a/setup.py +++ b/setup.py @@ -48,10 +48,8 @@ def setup_package(): author=AUTHOR, author_email=AUTHOR_EMAIL, license=LICENSE, - keywords='parse scrape pdf table', packages=['camelot'], - install_requires=reqs, - scripts=['tools/camelot']) + install_requires=reqs) try: from setuptools import setup diff --git a/tests/files/left_rotated_table_1.pdf b/tests/files/anticlockwise_table_1.pdf similarity index 100% rename from tests/files/left_rotated_table_1.pdf rename to tests/files/anticlockwise_table_1.pdf diff --git a/tests/files/left_rotated_table_2.pdf b/tests/files/anticlockwise_table_2.pdf similarity index 100% rename from tests/files/left_rotated_table_2.pdf rename to tests/files/anticlockwise_table_2.pdf diff --git a/tests/files/lines_in_background_1.pdf b/tests/files/background_lines_1.pdf similarity index 100% rename from tests/files/lines_in_background_1.pdf rename to tests/files/background_lines_1.pdf diff --git a/tests/files/lines_in_background_2.pdf b/tests/files/background_lines_2.pdf similarity index 100% rename from tests/files/lines_in_background_2.pdf rename to tests/files/background_lines_2.pdf diff --git a/tests/files/right_rotated_table_1.pdf b/tests/files/clockwise_table_1.pdf similarity index 100% rename from tests/files/right_rotated_table_1.pdf rename to tests/files/clockwise_table_1.pdf diff --git a/tests/files/right_rotated_table_2.pdf b/tests/files/clockwise_table_2.pdf similarity index 100% rename from tests/files/right_rotated_table_2.pdf rename to tests/files/clockwise_table_2.pdf diff --git a/tests/test_camelot.py b/tests/test_camelot.py deleted file mode 100644 index 14253a8..0000000 --- a/tests/test_camelot.py +++ /dev/null @@ -1,334 +0,0 @@ -import os - -from nose.tools import assert_equal - -from camelot.pdf import Pdf -from camelot.lattice import Lattice - - -testdir = os.path.dirname(os.path.abspath(__file__)) - - -def test_stream_basic(): - - data = [ - ["", "Table 6.", ""], - ["", "U.S. Production, Imports, Exports, and Net Supply of Conventional Pesticides", ""], - ["", "at Producer Level, 1994/95 Estimates.", ""], - ["", "Active Ingredient", "Sales Value"], - ["", "(in billions of lbs.)", "(in billions of dollars)"], - ["Category", "1994/95", "1994/95"], - ["U.S. Production", "1.3", "7.0"], - ["U.S. Imports", "0.2", "2.2"], - ["Total Supply", "1.5", "9.2"], - ["U.S. Exports", "0.5", "2.6"], - ["Net Supply/Usage", "1.0", "6.6"], - ["SOURCE:", "EPA estimates based on ACPA Surveys, Department of Commerce Publications, tabulations and other", ""], - ["sources.", "", ""], - ["16\xe2\x80\x9494/95 Pesticides Industry Sales And Usage", "", ""] - ] - - pdfname = os.path.join(testdir, "tabula_test_pdfs/us-024.pdf") - manager = Pdf(Stream(), pdfname, pagenos=[{"start": 1, "end": 1}], - clean=True) - tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) - - -def test_stream_missing_value(): - - data = [ - ["Bhandara - Key Indicators","","","",""], - ["","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""], - ["Indicators","TOTAL","RURAL","TOTAL","RURAL"], - ["Reported Prevalence of Morbidity","","","",""], - ["Any Injury .....................................................................................................................................","1.9","2.1","",""], - ["Acute Illness .................................................................................................................................","4.5","5.6","",""], - ["Chronic Illness ..............................................................................................................................","5.1","4.1","",""], - ["Reported Prevalence of Chronic Illness during last one year (%)","","","",""], - ["Disease of respiratory system ......................................................................................................","11.7","15.0","",""], - ["Disease of cardiovascular system ................................................................................................","8.9","9.3","",""], - ["Persons suffering from tuberculosis .............................................................................................","2.2","1.5","",""], - ["Anaemia Status by Haemoglobin Level14 (%)","","","",""], - ["Children (6-59 months) having anaemia ......................................................................................","68.5","71.9","",""], - ["Children (6-59 months) having severe anaemia ..........................................................................","6.7","9.4","",""], - ["Children (6-9 Years) having anaemia - Male ................................................................................","67.1","71.4","",""], - ["Children (6-9 Years) having severe anaemia - Male ....................................................................","4.4","2.4","",""], - ["Children (6-9 Years) having anaemia - Female ...........................................................................","52.4","48.8","",""], - ["Children (6-9 Years) having severe anaemia - Female ................................................................","1.2","0.0","",""], - ["Children (6-14 years) having anaemia - Male .............................................................................","50.8","62.5","",""], - ["Children (6-14 years) having severe anaemia - Male ..................................................................","3.7","3.6","",""], - ["Children (6-14 years) having anaemia - Female .........................................................................","48.3","50.0","",""], - ["Children (6-14 years) having severe anaemia - Female ..............................................................","4.3","6.1","",""], - ["Children (10-19 Years15) having anaemia - Male .........................................................................","37.9","51.2","",""], - ["Children (10-19 Years15) having severe anaemia - Male .............................................................","3.5","4.0","",""], - ["Children (10-19 Years15) having anaemia - Female .....................................................................","46.6","52.1","",""], - ["Children (10-19 Years15) having severe anaemia - Female .........................................................","6.4","6.5","",""], - ["Adolescents (15-19 years) having anaemia ................................................................................","39.4","46.5","",""], - ["Adolescents (15-19 years) having severe anaemia .....................................................................","5.4","5.1","",""], - ["Pregnant women (15-49 aged) having anaemia ..........................................................................","48.8","51.5","",""], - ["Pregnant women (15-49 aged) having severe anaemia ..............................................................","7.1","8.8","",""], - ["Women (15-49 aged) having anaemia .........................................................................................","45.2","51.7","",""], - ["Women (15-49 aged) having severe anaemia .............................................................................","4.8","5.9","",""], - ["Persons (20 years and above) having anaemia ...........................................................................","37.8","42.1","",""], - ["Persons (20 years and above) having Severe anaemia ..............................................................","4.6","4.8","",""], - ["Blood Sugar Level (age 18 years and above) (%)","","","",""], - ["Blood Sugar Level >140 mg/dl (high) ...........................................................................................","12.9","11.1","",""], - ["Blood Sugar Level >160 mg/dl (very high) ...................................................................................","7.0","5.1","",""], - ["Hypertension (age 18 years and above) (%)","","","",""], - ["Above Normal Range (Systolic >140 mm of Hg & Diastolic >90 mm of Hg ) ..............................","23.8","22.8","",""], - ["Moderately High (Systolic >160 mm of Hg & Diastolic >100 mm of Hg ) .....................................","8.2","7.1","",""], - ["Very High (Systolic >180 mm of Hg & Diastolic >110 mm of Hg ) ...............................................","3.7","3.1","",""], - ["14 Any anaemia below 11g/dl, severe anaemia below 7g/dl. 15 Excluding age group 19 years","","","",""], - ["Chronic Illness :Any person with symptoms persisting for longer than one month is defined as suffering from chronic illness","","","",""], - ["4","","","",""] - ] - pdfname = os.path.join(testdir, "missing_values.pdf") - manager = Pdf(Stream(flag_size=False), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) - - -def test_stream_single_table_area(): - - data = [ - ["","One Withholding"], - ["Payroll Period","Allowance"], - ["Weekly","$71.15"], - ["Biweekly","142.31"], - ["Semimonthly","154.17"], - ["Monthly","308.33"], - ["Quarterly","925.00"], - ["Semiannually","1,850.00"], - ["Annually","3,700.00"], - ["Daily or Miscellaneous","14.23"], - ["(each day of the payroll period)",""] - ] - pdfname = os.path.join(testdir, "tabula_test_pdfs/us-007.pdf") - manager = Pdf(Stream(table_area=["320,500,573,335"]), - pdfname, pagenos=[{"start": 1, "end": 1}], clean=True) - tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) - - -def test_stream_columns(): - - data = [ - ["Clave","Nombre Entidad","Clave","Nombre Municipio","Clave","Nombre Localidad"], - ["Entidad","","Municipio","","Localidad",""], - ["01","Aguascalientes","001","Aguascalientes","0094","Granja Adelita"], - ["01","Aguascalientes","001","Aguascalientes","0096","Agua Azul"], - ["01","Aguascalientes","001","Aguascalientes","0100","Rancho Alegre"], - ["01","Aguascalientes","001","Aguascalientes","0102","Los Arbolitos [Rancho]"], - ["01","Aguascalientes","001","Aguascalientes","0104","Ardillas de Abajo (Las Ardillas)"], - ["01","Aguascalientes","001","Aguascalientes","0106","Arellano"], - ["01","Aguascalientes","001","Aguascalientes","0112","Bajío los Vázquez"], - ["01","Aguascalientes","001","Aguascalientes","0113","Bajío de Montoro"], - ["01","Aguascalientes","001","Aguascalientes","0114","Residencial San Nicolás [Baños la Cantera]"], - ["01","Aguascalientes","001","Aguascalientes","0120","Buenavista de Peñuelas"], - ["01","Aguascalientes","001","Aguascalientes","0121","Cabecita 3 Marías (Rancho Nuevo)"], - ["01","Aguascalientes","001","Aguascalientes","0125","Cañada Grande de Cotorina"], - ["01","Aguascalientes","001","Aguascalientes","0126","Cañada Honda [Estación]"], - ["01","Aguascalientes","001","Aguascalientes","0127","Los Caños"], - ["01","Aguascalientes","001","Aguascalientes","0128","El Cariñán"], - ["01","Aguascalientes","001","Aguascalientes","0129","El Carmen [Granja]"], - ["01","Aguascalientes","001","Aguascalientes","0135","El Cedazo (Cedazo de San Antonio)"], - ["01","Aguascalientes","001","Aguascalientes","0138","Centro de Arriba (El Taray)"], - ["01","Aguascalientes","001","Aguascalientes","0139","Cieneguilla (La Lumbrera)"], - ["01","Aguascalientes","001","Aguascalientes","0141","Cobos"], - ["01","Aguascalientes","001","Aguascalientes","0144","El Colorado (El Soyatal)"], - ["01","Aguascalientes","001","Aguascalientes","0146","El Conejal"], - ["01","Aguascalientes","001","Aguascalientes","0157","Cotorina de Abajo"], - ["01","Aguascalientes","001","Aguascalientes","0162","Coyotes"], - ["01","Aguascalientes","001","Aguascalientes","0166","La Huerta (La Cruz)"], - ["01","Aguascalientes","001","Aguascalientes","0170","Cuauhtémoc (Las Palomas)"], - ["01","Aguascalientes","001","Aguascalientes","0171","Los Cuervos (Los Ojos de Agua)"], - ["01","Aguascalientes","001","Aguascalientes","0172","San José [Granja]"], - ["01","Aguascalientes","001","Aguascalientes","0176","La Chiripa"], - ["01","Aguascalientes","001","Aguascalientes","0182","Dolores"], - ["01","Aguascalientes","001","Aguascalientes","0183","Los Dolores"], - ["01","Aguascalientes","001","Aguascalientes","0190","El Duraznillo"], - ["01","Aguascalientes","001","Aguascalientes","0191","Los Durón"], - ["01","Aguascalientes","001","Aguascalientes","0197","La Escondida"], - ["01","Aguascalientes","001","Aguascalientes","0201","Brande Vin [Bodegas]"], - ["01","Aguascalientes","001","Aguascalientes","0207","Valle Redondo"], - ["01","Aguascalientes","001","Aguascalientes","0209","La Fortuna"], - ["01","Aguascalientes","001","Aguascalientes","0212","Lomas del Gachupín"], - ["01","Aguascalientes","001","Aguascalientes","0213","El Carmen (Gallinas Güeras) [Rancho]"], - ["01","Aguascalientes","001","Aguascalientes","0216","La Gloria"], - ["01","Aguascalientes","001","Aguascalientes","0226","Hacienda Nueva"], - ] - pdfname = os.path.join(testdir, "mexican_towns.pdf") - manager = Pdf(Stream(columns=["67,180,230,425,475"], ytol=[10]), pdfname, - clean=True) - tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) - - -def test_stream_table_rotation(): - - data = [ - ["","","Table 21 Current use of contraception by background characteristics—Continued","","","","","","","","","","","","","","",""], - ["","","","","","","Modern method","","","","","","","Traditional method","","","",""], - ["","","","Any","","","","","","","Other","Any","","","","Not","","Number"], - ["","","Any","modern","Female","Male","","","","Condom/","modern","traditional","","With-","Folk","currently","","of"], - ["","Background characteristic","method","method","sterilization","sterilization","Pill","IUD","Injectables","Nirodh","method","method","Rhythm","drawal","method","using","Total","women"], - ["","Caste/tribe","","","","","","","","","","","","","","","",""], - ["","Scheduled caste","74.8","55.8","42.9","0.9","9.7","0.0","0.2","2.2","0.0","19.0","11.2","7.4","0.4","25.2","100.0","1,363"], - ["","Scheduled tribe","59.3","39.0","26.8","0.6","6.4","0.6","1.2","3.5","0.0","20.3","10.4","5.8","4.1","40.7","100.0","256"], - ["","Other backward class","71.4","51.1","34.9","0.0","8.6","1.4","0.0","6.2","0.0","20.4","12.6","7.8","0.0","28.6","100.0","211"], - ["","Other","71.1","48.8","28.2","0.8","13.3","0.9","0.3","5.2","0.1","22.3","12.9","9.1","0.3","28.9","100.0","3,319"], - ["","Wealth index","","","","","","","","","","","","","","","",""], - ["","Lowest","64.5","48.6","34.3","0.5","10.5","0.6","0.7","2.0","0.0","15.9","9.9","4.6","1.4","35.5","100.0","1,258"], - ["","Second","68.5","50.4","36.2","1.1","11.4","0.5","0.1","1.1","0.0","18.1","11.2","6.7","0.2","31.5","100.0","1,317"], - ["","Middle","75.5","52.8","33.6","0.6","14.2","0.4","0.5","3.4","0.1","22.7","13.4","8.9","0.4","24.5","100.0","1,018"], - ["","Fourth","73.9","52.3","32.0","0.5","12.5","0.6","0.2","6.3","0.2","21.6","11.5","9.9","0.2","26.1","100.0","908"], - ["","Highest","78.3","44.4","19.5","1.0","9.7","1.4","0.0","12.7","0.0","33.8","18.2","15.6","0.0","21.7","100.0","733"], - ["","Number of living children","","","","","","","","","","","","","","","",""], - ["","No children","25.1","7.6","0.3","0.5","2.0","0.0","0.0","4.8","0.0","17.5","9.0","8.5","0.0","74.9","100.0","563"], - ["","1 child","66.5","32.1","3.7","0.7","20.1","0.7","0.1","6.9","0.0","34.3","18.9","15.2","0.3","33.5","100.0","1,190"], - ["","1 son","66.8","33.2","4.1","0.7","21.1","0.5","0.3","6.6","0.0","33.5","21.2","12.3","0.0","33.2","100.0","672"], - ["","No sons","66.1","30.7","3.1","0.6","18.8","0.8","0.0","7.3","0.0","35.4","15.8","19.0","0.6","33.9","100.0","517"], - ["","2 children","81.6","60.5","41.8","0.9","11.6","0.8","0.3","4.8","0.2","21.1","12.2","8.3","0.6","18.4","100.0","1,576"], - ["","1 or more sons","83.7","64.2","46.4","0.9","10.8","0.8","0.4","4.8","0.1","19.5","11.1","7.6","0.7","16.3","100.0","1,268"], - ["","No sons","73.2","45.5","23.2","1.0","15.1","0.9","0.0","4.8","0.5","27.7","16.8","11.0","0.0","26.8","100.0","308"], - ["","3 children","83.9","71.2","57.7","0.8","9.8","0.6","0.5","1.8","0.0","12.7","8.7","3.3","0.8","16.1","100.0","961"], - ["","1 or more sons","85.0","73.2","60.3","0.9","9.4","0.5","0.5","1.6","0.0","11.8","8.1","3.0","0.7","15.0","100.0","860"], - ["","No sons","74.7","53.8","35.3","0.0","13.7","1.6","0.0","3.2","0.0","20.9","13.4","6.1","1.5","25.3","100.0","101"], - ["","4+ children","74.3","58.1","45.1","0.6","8.7","0.6","0.7","2.4","0.0","16.1","9.9","5.4","0.8","25.7","100.0","944"], - ["","1 or more sons","73.9","58.2","46.0","0.7","8.3","0.7","0.7","1.9","0.0","15.7","9.4","5.5","0.8","26.1","100.0","901"], - ["","No sons","(82.1)","(57.3)","(25.6)","(0.0)","(17.8)","(0.0)","(0.0)","(13.9)","(0.0)","(24.8)","(21.3)","(3.5)","(0.0)","(17.9)","100.0","43"], - ["","Total","71.2","49.9","32.2","0.7","11.7","0.6","0.3","4.3","0.1","21.3","12.3","8.4","0.5","28.8","100.0","5,234"], - ["","NFHS-2 (1998-99)","66.6","47.3","32.0","1.8","9.2","1.4","na","2.9","na","na","8.7","9.8","na","33.4","100.0","4,116"], - ["","NFHS-1 (1992-93)","57.7","37.6","26.5","4.3","3.6","1.3","0.1","1.9","na","na","11.3","8.3","na","42.3","100.0","3,970"], - ["","","Note: If more than one method is used, only the most effective method is considered in this tabulation. Total includes women for whom caste/tribe was not known or is missing, who are","","","","","","","","","","","","","","",""], - ["","not shown separately.","","","","","","","","","","","","","","","",""], - ["","na = Not available","","","","","","","","","","","","","","","",""], - ["","","ns = Not shown; see table 2b, footnote 1","","","","","","","","","","","","","","",""], - ["","( ) Based on 25-49 unweighted cases.","","","","","","","","","","","","","","","",""], - ["","","","","","","","","54","","","","","","","","",""] - ] - pdfname = os.path.join(testdir, "left_rotated_table_2.pdf") - manager = Pdf(Stream(flag_size=False), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) - - pdfname = os.path.join(testdir, "right_rotated_table_2.pdf") - manager = Pdf(Stream(flag_size=False), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables["page-1"]["table-1"]["data"], data) - - -def test_lattice_basic(): - - data = [ - ["Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""], - ["","","","Improved Speed","Decreased Accel","Eliminate Stops","Decreased Idle"], - ["2012_2","3.30","1.3","5.9%","9.5%","29.2%","17.4%"], - ["2145_1","0.68","11.2","2.4%","0.1%","9.5%","2.7%"], - ["4234_1","0.59","58.7","8.5%","1.3%","8.5%","3.3%"], - ["2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"], - ["4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"] - ] - pdfname = os.path.join(testdir, - "tabula_test_pdfs/icdar2013-dataset/competition-dataset-us/us-030.pdf") - manager = Pdf(Lattice(), pdfname, pagenos=[{'start': 2, 'end': 2}], - clean=True) - tables = manager.extract() - assert_equal(tables['page-2']['table-1']['data'], data) - - -def test_lattice_fill(): - - data = [ - ["Plan Type","County","Plan Name","Totals"], - ["GMC","Sacramento","Anthem Blue Cross","164,380"], - ["GMC","Sacramento","Health Net","126,547"], - ["GMC","Sacramento","Kaiser Foundation","74,620"], - ["GMC","Sacramento","Molina Healthcare","59,989"], - ["GMC","San Diego","Care 1st Health Plan","71,831"], - ["GMC","San Diego","Community Health Group","264,639"], - ["GMC","San Diego","Health Net","72,404"], - ["GMC","San Diego","Kaiser","50,415"], - ["GMC","San Diego","Molina Healthcare","206,430"], - ["GMC","Total GMC Enrollment","","1,091,255"], - ["COHS","Marin","Partnership Health Plan of CA","36,006"], - ["COHS","Mendocino","Partnership Health Plan of CA","37,243"], - ["COHS","Napa","Partnership Health Plan of CA","28,398"], - ["COHS","Solano","Partnership Health Plan of CA","113,220"], - ["COHS","Sonoma","Partnership Health Plan of CA","112,271"], - ["COHS","Yolo","Partnership Health Plan of CA","52,674"], - ["COHS","Del Norte","Partnership Health Plan of CA","11,242"], - ["COHS","Humboldt","Partnership Health Plan of CA","49,911"], - ["COHS","Lake","Partnership Health Plan of CA","29,149"], - ["COHS","Lassen","Partnership Health Plan of CA","7,360"], - ["COHS","Modoc","Partnership Health Plan of CA","2,940"], - ["COHS","Shasta","Partnership Health Plan of CA","61,763"], - ["COHS","Siskiyou","Partnership Health Plan of CA","16,715"], - ["COHS","Trinity","Partnership Health Plan of CA","4,542"], - ["COHS","Merced","Central California Alliance for Health","123,907"], - ["COHS","Monterey","Central California Alliance for Health","147,397"], - ["COHS","Santa Cruz","Central California Alliance for Health","69,458"], - ["COHS","Santa Barbara","CenCal","117,609"], - ["COHS","San Luis Obispo","CenCal","55,761"], - ["COHS","Orange","CalOptima","783,079"], - ["COHS","San Mateo","Health Plan of San Mateo","113,202"], - ["COHS","Ventura","Gold Coast Health Plan","202,217"], - ["COHS","Total COHS Enrollment","","2,176,064"], - ["Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"], - ["PCCM","Los Angeles","AIDS Healthcare Foundation","828"], - ["PCCM","San Francisco","Family Mosaic","25"], - ["PCCM","Total PHP Enrollment","","853"], - ["All Models Total Enrollments","","","10,132,875"], - ["Source: Data Warehouse 12/14/15","","",""] - ] - pdfname = os.path.join(testdir, 'row_span_1.pdf') - manager = Pdf(Lattice(fill='v', scale=40), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-1']['data'], data) - - -def test_lattice_invert(): - - data = [ - ["State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"], - ["Delhi","1.12.2009","8","17","1.29","3,665","2,409","1,000"], - ["Rajasthan","2.12.2009 to 19.12.2009","","","","","",""], - ["Gujarat","20.12.2009 to 3.1.2010","6","13","6.03","3,810","2,317","1,453"], - ["Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"], - ["Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"], - ["Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"], - ["Total","","47","92","11.81","22,455","19,584","10,644"] - ] - pdfname = os.path.join(testdir, 'lines_in_background_1.pdf') - manager = Pdf(Lattice(invert=True), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-2']['data'], data) - - -def test_lattice_table_rotation(): - - data = [ - ["State","Nutritional Assessment (No. of individuals)","","","","IYCF Practices (No. of mothers: 2011-12)","Blood Pressure (No. of adults: 2011-12)","","Fasting Blood Sugar (No. of adults:2011-12)",""], - ["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"], - ["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"], - ["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"], - ["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"], - ["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"], - ["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"], - ["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"], - ["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"], - ["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"], - ["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"], - ["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"], - ["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"] - ] - pdfname = os.path.join(testdir, 'left_rotated_table_1.pdf') - manager = Pdf(Lattice(), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-1']['data'], data) - - pdfname = os.path.join(testdir, 'right_rotated_table_1.pdf') - manager = Pdf(Lattice(), pdfname, clean=True) - tables = manager.extract() - assert_equal(tables['page-1']['table-1']['data'], data) \ No newline at end of file diff --git a/tests/test_common.py b/tests/test_common.py new file mode 100644 index 0000000..52f966a --- /dev/null +++ b/tests/test_common.py @@ -0,0 +1,80 @@ +import os + +import pandas as pd + +import camelot + +from test_data import * + +testdir = os.path.dirname(os.path.abspath(__file__)) +testdir = os.path.join(testdir, "files") + + +def test_stream(): + pass + + +def test_stream_table_rotated(): + df = pd.DataFrame(data_stream_table_rotated) + + filename = os.path.join(testdir, "clockwise_table_2.pdf") + tables = camelot.read_pdf(filename) + assert df.equals(tables[0].df) + + filename = os.path.join(testdir, "anticlockwise_table_2.pdf") + tables = camelot.read_pdf(filename) + assert df.equals(tables[0].df) + + +def test_stream_table_area(): + df = pd.DataFrame(data_stream_table_area_single) + + filename = os.path.join(testdir, "tabula/us-007.pdf") + tables = camelot.read_pdf(filename, table_area=["320,500,573,335"]) + assert df.equals(tables[0].df) + + +def test_stream_columns(): + df = pd.DataFrame(data_stream_columns) + + filename = os.path.join(testdir, "mexican_towns.pdf") + tables = camelot.read_pdf( + filename, columns=["67,180,230,425,475"], row_close_tol=10) + assert df.equals(tables[0].df) + + +def test_lattice(): + df = pd.DataFrame(data_lattice) + + filename = os.path.join(testdir, + "tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf") + tables = camelot.read_pdf(filename, pages="2", mesh=True) + assert df.equals(tables[0].df) + + +def test_lattice_table_rotated(): + df = pd.DataFrame(data_lattice_table_rotated) + + filename = os.path.join(testdir, "clockwise_table_1.pdf") + tables = camelot.read_pdf(filename, mesh=True) + assert df.equals(tables[0].df) + + filename = os.path.join(testdir, "anticlockwise_table_1.pdf") + tables = camelot.read_pdf(filename, mesh=True) + assert df.equals(tables[0].df) + + +def test_lattice_process_background(): + df = pd.DataFrame(data_lattice_process_background) + + filename = os.path.join(testdir, "background_lines_1.pdf") + tables = camelot.read_pdf(filename, mesh=True, process_background=True) + assert df.equals(tables[1].df) + + +def test_lattice_copy_text(): + df = pd.DataFrame(data_lattice_copy_text) + + filename = os.path.join(testdir, "row_span_1.pdf") + tables = camelot.read_pdf(filename, mesh=True, line_size_scaling=60, copy_text="v") + assert df.equals(tables[0].df) \ No newline at end of file diff --git a/tests/test_data.py b/tests/test_data.py new file mode 100644 index 0000000..3582937 --- /dev/null +++ b/tests/test_data.py @@ -0,0 +1,189 @@ +# -*- coding: utf-8 -*- + +data_stream_table_rotated = [ + ["","","Table 21 Current use of contraception by background characteristics—Continued","","","","","","","","","","","","","","",""], + ["","","","","","","Modern method","","","","","","","Traditional method","","","",""], + ["","","","Any","","","","","","","Other","Any","","","","Not","","Number"], + ["","","Any","modern","Female","Male","","","","Condom/","modern","traditional","","With-","Folk","currently","","of"], + ["","Background characteristic","method","method","sterilization","sterilization","Pill","IUD","Injectables","Nirodh","method","method","Rhythm","drawal","method","using","Total","women"], + ["","Caste/tribe","","","","","","","","","","","","","","","",""], + ["","Scheduled caste","74.8","55.8","42.9","0.9","9.7","0.0","0.2","2.2","0.0","19.0","11.2","7.4","0.4","25.2","100.0","1,363"], + ["","Scheduled tribe","59.3","39.0","26.8","0.6","6.4","0.6","1.2","3.5","0.0","20.3","10.4","5.8","4.1","40.7","100.0","256"], + ["","Other backward class","71.4","51.1","34.9","0.0","8.6","1.4","0.0","6.2","0.0","20.4","12.6","7.8","0.0","28.6","100.0","211"], + ["","Other","71.1","48.8","28.2","0.8","13.3","0.9","0.3","5.2","0.1","22.3","12.9","9.1","0.3","28.9","100.0","3,319"], + ["","Wealth index","","","","","","","","","","","","","","","",""], + ["","Lowest","64.5","48.6","34.3","0.5","10.5","0.6","0.7","2.0","0.0","15.9","9.9","4.6","1.4","35.5","100.0","1,258"], + ["","Second","68.5","50.4","36.2","1.1","11.4","0.5","0.1","1.1","0.0","18.1","11.2","6.7","0.2","31.5","100.0","1,317"], + ["","Middle","75.5","52.8","33.6","0.6","14.2","0.4","0.5","3.4","0.1","22.7","13.4","8.9","0.4","24.5","100.0","1,018"], + ["","Fourth","73.9","52.3","32.0","0.5","12.5","0.6","0.2","6.3","0.2","21.6","11.5","9.9","0.2","26.1","100.0","908"], + ["","Highest","78.3","44.4","19.5","1.0","9.7","1.4","0.0","12.7","0.0","33.8","18.2","15.6","0.0","21.7","100.0","733"], + ["","Number of living children","","","","","","","","","","","","","","","",""], + ["","No children","25.1","7.6","0.3","0.5","2.0","0.0","0.0","4.8","0.0","17.5","9.0","8.5","0.0","74.9","100.0","563"], + ["","1 child","66.5","32.1","3.7","0.7","20.1","0.7","0.1","6.9","0.0","34.3","18.9","15.2","0.3","33.5","100.0","1,190"], + ["","1 son","66.8","33.2","4.1","0.7","21.1","0.5","0.3","6.6","0.0","33.5","21.2","12.3","0.0","33.2","100.0","672"], + ["","No sons","66.1","30.7","3.1","0.6","18.8","0.8","0.0","7.3","0.0","35.4","15.8","19.0","0.6","33.9","100.0","517"], + ["","2 children","81.6","60.5","41.8","0.9","11.6","0.8","0.3","4.8","0.2","21.1","12.2","8.3","0.6","18.4","100.0","1,576"], + ["","1 or more sons","83.7","64.2","46.4","0.9","10.8","0.8","0.4","4.8","0.1","19.5","11.1","7.6","0.7","16.3","100.0","1,268"], + ["","No sons","73.2","45.5","23.2","1.0","15.1","0.9","0.0","4.8","0.5","27.7","16.8","11.0","0.0","26.8","100.0","308"], + ["","3 children","83.9","71.2","57.7","0.8","9.8","0.6","0.5","1.8","0.0","12.7","8.7","3.3","0.8","16.1","100.0","961"], + ["","1 or more sons","85.0","73.2","60.3","0.9","9.4","0.5","0.5","1.6","0.0","11.8","8.1","3.0","0.7","15.0","100.0","860"], + ["","No sons","74.7","53.8","35.3","0.0","13.7","1.6","0.0","3.2","0.0","20.9","13.4","6.1","1.5","25.3","100.0","101"], + ["","4+ children","74.3","58.1","45.1","0.6","8.7","0.6","0.7","2.4","0.0","16.1","9.9","5.4","0.8","25.7","100.0","944"], + ["","1 or more sons","73.9","58.2","46.0","0.7","8.3","0.7","0.7","1.9","0.0","15.7","9.4","5.5","0.8","26.1","100.0","901"], + ["","No sons","(82.1)","(57.3)","(25.6)","(0.0)","(17.8)","(0.0)","(0.0)","(13.9)","(0.0)","(24.8)","(21.3)","(3.5)","(0.0)","(17.9)","100.0","43"], + ["","Total","71.2","49.9","32.2","0.7","11.7","0.6","0.3","4.3","0.1","21.3","12.3","8.4","0.5","28.8","100.0","5,234"], + ["","NFHS-2 (1998-99)","66.6","47.3","32.0","1.8","9.2","1.4","na","2.9","na","na","8.7","9.8","na","33.4","100.0","4,116"], + ["","NFHS-1 (1992-93)","57.7","37.6","26.5","4.3","3.6","1.3","0.1","1.9","na","na","11.3","8.3","na","42.3","100.0","3,970"], + ["","","Note: If more than one method is used, only the most effective method is considered in this tabulation. Total includes women for whom caste/tribe was not known or is missing, who are","","","","","","","","","","","","","","",""], + ["","not shown separately.","","","","","","","","","","","","","","","",""], + ["","na = Not available","","","","","","","","","","","","","","","",""], + ["","","ns = Not shown; see table 2b, footnote 1","","","","","","","","","","","","","","",""], + ["","( ) Based on 25-49 unweighted cases.","","","","","","","","","","","","","","","",""], + ["","","","","","","","","54","","","","","","","","",""] +] + + +data_stream_table_area_single = [ + ["","One Withholding"], + ["Payroll Period","Allowance"], + ["Weekly","$71.15"], + ["Biweekly","142.31"], + ["Semimonthly","154.17"], + ["Monthly","308.33"], + ["Quarterly","925.00"], + ["Semiannually","1,850.00"], + ["Annually","3,700.00"], + ["Daily or Miscellaneous","14.23"], + ["(each day of the payroll period)",""] +] + + +data_stream_columns = [ + ["Clave","Nombre Entidad","Clave","Nombre Municipio","Clave","Nombre Localidad"], + ["Entidad","","Municipio","","Localidad",""], + ["01","Aguascalientes","001","Aguascalientes","0094","Granja Adelita"], + ["01","Aguascalientes","001","Aguascalientes","0096","Agua Azul"], + ["01","Aguascalientes","001","Aguascalientes","0100","Rancho Alegre"], + ["01","Aguascalientes","001","Aguascalientes","0102","Los Arbolitos [Rancho]"], + ["01","Aguascalientes","001","Aguascalientes","0104","Ardillas de Abajo (Las Ardillas)"], + ["01","Aguascalientes","001","Aguascalientes","0106","Arellano"], + ["01","Aguascalientes","001","Aguascalientes","0112","Bajío los Vázquez"], + ["01","Aguascalientes","001","Aguascalientes","0113","Bajío de Montoro"], + ["01","Aguascalientes","001","Aguascalientes","0114","Residencial San Nicolás [Baños la Cantera]"], + ["01","Aguascalientes","001","Aguascalientes","0120","Buenavista de Peñuelas"], + ["01","Aguascalientes","001","Aguascalientes","0121","Cabecita 3 Marías (Rancho Nuevo)"], + ["01","Aguascalientes","001","Aguascalientes","0125","Cañada Grande de Cotorina"], + ["01","Aguascalientes","001","Aguascalientes","0126","Cañada Honda [Estación]"], + ["01","Aguascalientes","001","Aguascalientes","0127","Los Caños"], + ["01","Aguascalientes","001","Aguascalientes","0128","El Cariñán"], + ["01","Aguascalientes","001","Aguascalientes","0129","El Carmen [Granja]"], + ["01","Aguascalientes","001","Aguascalientes","0135","El Cedazo (Cedazo de San Antonio)"], + ["01","Aguascalientes","001","Aguascalientes","0138","Centro de Arriba (El Taray)"], + ["01","Aguascalientes","001","Aguascalientes","0139","Cieneguilla (La Lumbrera)"], + ["01","Aguascalientes","001","Aguascalientes","0141","Cobos"], + ["01","Aguascalientes","001","Aguascalientes","0144","El Colorado (El Soyatal)"], + ["01","Aguascalientes","001","Aguascalientes","0146","El Conejal"], + ["01","Aguascalientes","001","Aguascalientes","0157","Cotorina de Abajo"], + ["01","Aguascalientes","001","Aguascalientes","0162","Coyotes"], + ["01","Aguascalientes","001","Aguascalientes","0166","La Huerta (La Cruz)"], + ["01","Aguascalientes","001","Aguascalientes","0170","Cuauhtémoc (Las Palomas)"], + ["01","Aguascalientes","001","Aguascalientes","0171","Los Cuervos (Los Ojos de Agua)"], + ["01","Aguascalientes","001","Aguascalientes","0172","San José [Granja]"], + ["01","Aguascalientes","001","Aguascalientes","0176","La Chiripa"], + ["01","Aguascalientes","001","Aguascalientes","0182","Dolores"], + ["01","Aguascalientes","001","Aguascalientes","0183","Los Dolores"], + ["01","Aguascalientes","001","Aguascalientes","0190","El Duraznillo"], + ["01","Aguascalientes","001","Aguascalientes","0191","Los Durón"], + ["01","Aguascalientes","001","Aguascalientes","0197","La Escondida"], + ["01","Aguascalientes","001","Aguascalientes","0201","Brande Vin [Bodegas]"], + ["01","Aguascalientes","001","Aguascalientes","0207","Valle Redondo"], + ["01","Aguascalientes","001","Aguascalientes","0209","La Fortuna"], + ["01","Aguascalientes","001","Aguascalientes","0212","Lomas del Gachupín"], + ["01","Aguascalientes","001","Aguascalientes","0213","El Carmen (Gallinas Güeras) [Rancho]"], + ["01","Aguascalientes","001","Aguascalientes","0216","La Gloria"], + ["01","Aguascalientes","001","Aguascalientes","0226","Hacienda Nueva"], +] + + +data_lattice = [ + ["Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""], + ["","","","Improved Speed","Decreased Accel","Eliminate Stops","Decreased Idle"], + ["2012_2","3.30","1.3","5.9%","9.5%","29.2%","17.4%"], + ["2145_1","0.68","11.2","2.4%","0.1%","9.5%","2.7%"], + ["4234_1","0.59","58.7","8.5%","1.3%","8.5%","3.3%"], + ["2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"], + ["4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"] +] + + +data_lattice_table_rotated = [ + ["State","Nutritional Assessment (No. of individuals)","","","","IYCF Practices (No. of mothers: 2011-12)","Blood Pressure (No. of adults: 2011-12)","","Fasting Blood Sugar (No. of adults:2011-12)",""], + ["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"], + ["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"], + ["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"], + ["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"], + ["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"], + ["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"], + ["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"], + ["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"], + ["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"], + ["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"], + ["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"], + ["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"] +] + + +data_lattice_process_background = [ + ["State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"], + ["Delhi","1.12.2009","8","17","1.29","3,665","2,409","1,000"], + ["Rajasthan","2.12.2009 to 19.12.2009","","","","","",""], + ["Gujarat","20.12.2009 to 3.1.2010","6","13","6.03","3,810","2,317","1,453"], + ["Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"], + ["Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"], + ["Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"], + ["Total","","47","92","11.81","22,455","19,584","10,644"] +] + + +data_lattice_copy_text = [ + ["Plan Type","County","Plan Name","Totals"], + ["GMC","Sacramento","Anthem Blue Cross","164,380"], + ["GMC","Sacramento","Health Net","126,547"], + ["GMC","Sacramento","Kaiser Foundation","74,620"], + ["GMC","Sacramento","Molina Healthcare","59,989"], + ["GMC","San Diego","Care 1st Health Plan","71,831"], + ["GMC","San Diego","Community Health Group","264,639"], + ["GMC","San Diego","Health Net","72,404"], + ["GMC","San Diego","Kaiser","50,415"], + ["GMC","San Diego","Molina Healthcare","206,430"], + ["GMC","Total GMC Enrollment","","1,091,255"], + ["COHS","Marin","Partnership Health Plan of CA","36,006"], + ["COHS","Mendocino","Partnership Health Plan of CA","37,243"], + ["COHS","Napa","Partnership Health Plan of CA","28,398"], + ["COHS","Solano","Partnership Health Plan of CA","113,220"], + ["COHS","Sonoma","Partnership Health Plan of CA","112,271"], + ["COHS","Yolo","Partnership Health Plan of CA","52,674"], + ["COHS","Del Norte","Partnership Health Plan of CA","11,242"], + ["COHS","Humboldt","Partnership Health Plan of CA","49,911"], + ["COHS","Lake","Partnership Health Plan of CA","29,149"], + ["COHS","Lassen","Partnership Health Plan of CA","7,360"], + ["COHS","Modoc","Partnership Health Plan of CA","2,940"], + ["COHS","Shasta","Partnership Health Plan of CA","61,763"], + ["COHS","Siskiyou","Partnership Health Plan of CA","16,715"], + ["COHS","Trinity","Partnership Health Plan of CA","4,542"], + ["COHS","Merced","Central California Alliance for Health","123,907"], + ["COHS","Monterey","Central California Alliance for Health","147,397"], + ["COHS","Santa Cruz","Central California Alliance for Health","69,458"], + ["COHS","Santa Barbara","CenCal","117,609"], + ["COHS","San Luis Obispo","CenCal","55,761"], + ["COHS","Orange","CalOptima","783,079"], + ["COHS","San Mateo","Health Plan of San Mateo","113,202"], + ["COHS","Ventura","Gold Coast Health Plan","202,217"], + ["COHS","Total COHS Enrollment","","2,176,064"], + ["Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"], + ["PCCM","Los Angeles","AIDS Healthcare Foundation","828"], + ["PCCM","San Francisco","Family Mosaic","25"], + ["PCCM","Total PHP Enrollment","","853"], + ["All Models Total Enrollments","","","10,132,875"], + ["Source: Data Warehouse 12/14/15","","",""] +] \ No newline at end of file From c91a9bb36da64c8b686512707208490b1405b75f Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sun, 9 Sep 2018 05:36:07 +0530 Subject: [PATCH 35/39] Add future import --- camelot/image_processing.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/camelot/image_processing.py b/camelot/image_processing.py index bdd82fb..ec2b384 100644 --- a/camelot/image_processing.py +++ b/camelot/image_processing.py @@ -1,3 +1,4 @@ +from __future__ import division from itertools import groupby from operator import itemgetter @@ -75,9 +76,9 @@ def find_lines(threshold, direction='horizontal', line_size_scaling=15, iteratio x1, x2 = x, x + w y1, y2 = y, y + h if direction == 'vertical': - lines.append(((x1 + x2) / 2, y2, (x1 + x2) / 2, y1)) + lines.append(((x1 + x2) // 2, y2, (x1 + x2) // 2, y1)) elif direction == 'horizontal': - lines.append((x1, (y1 + y2) / 2, x2, (y1 + y2) / 2)) + lines.append((x1, (y1 + y2) // 2, x2, (y1 + y2) // 2)) return dmask, lines @@ -141,7 +142,7 @@ def find_table_joints(contours, vertical, horizontal): joint_coords = [] for j in jc: jx, jy, jw, jh = cv2.boundingRect(j) - c1, c2 = x + (2 * jx + jw) / 2, y + (2 * jy + jh) / 2 + c1, c2 = x + (2 * jx + jw) // 2, y + (2 * jy + jh) // 2 joint_coords.append((c1, c2)) tables[(x, y + h, x + w, y)] = joint_coords @@ -204,5 +205,5 @@ def find_cuts(threshold, char_size_scaling=200): contours = [cv2.boundingRect(c) for c in contours] y_cuts = [(c[1], c[1] + c[3]) for c in contours] y_cuts = list(merge_tuples(sorted(y_cuts))) - y_cuts = [(y_cuts[i][0] + y_cuts[i - 1][1]) / 2 for i in range(1, len(y_cuts))] + y_cuts = [(y_cuts[i][0] + y_cuts[i - 1][1]) // 2 for i in range(1, len(y_cuts))] return sorted(y_cuts, reverse=True) \ No newline at end of file From e75045053ac34c9eb219bbf11d1235e44150cbd5 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sun, 9 Sep 2018 05:36:45 +0530 Subject: [PATCH 36/39] Remove Makefile --- Makefile | 31 ------------------------------- 1 file changed, 31 deletions(-) delete mode 100644 Makefile diff --git a/Makefile b/Makefile deleted file mode 100644 index f4183af..0000000 --- a/Makefile +++ /dev/null @@ -1,31 +0,0 @@ -PYTHON ?= python -NOSETESTS ?= nosetests - -help: - @echo "Please use \`make ' where is one of" - @echo " clean" - @echo " dev to install in develop mode" - @echo " undev to uninstall develop mode" - @echo " install to install for all users" - @echo " test to run tests" - @echo " test-coverage to run tests with coverage report" - -clean: - $(PYTHON) setup.py clean - rm -rf dist - -dev: - $(PYTHON) setup.py develop - -undev: - $(PYTHON) setup.py develop --uninstall - -install: - $(PYTHON) setup.py install - -test: - $(NOSETESTS) -s -v - -test-coverage: - rm -rf coverage .coverage - $(NOSETESTS) -s -v --with-coverage From 16c6b8d45d62cf31b24eee19ef34d333f3993a09 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sun, 9 Sep 2018 05:41:42 +0530 Subject: [PATCH 37/39] Add setup.cfg --- setup.cfg | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 setup.cfg diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..730f976 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,6 @@ +[aliases] +test=pytest + +[tool:pytest] +addopts = --verbose +python_files = tests/test_*.py From 9878de4dfc6eb35eef8ad6bf0717c41713bd1742 Mon Sep 17 00:00:00 2001 From: Vinayak Mehta Date: Sun, 9 Sep 2018 10:00:22 +0530 Subject: [PATCH 38/39] Add docstrings and update docs --- .gitignore | 2 + README.md | 65 ++----- camelot/core.py | 186 ++++++++++++------- camelot/handlers.py | 69 +++++-- camelot/image_processing.py | 112 ++++++++--- camelot/io.py | 85 ++++++++- camelot/parsers/base.py | 3 +- camelot/parsers/lattice.py | 117 ++++++++++-- camelot/parsers/stream.py | 146 +++++++++++++-- camelot/plotting.py | 98 +++++++++- camelot/utils.py | 360 +++++++++++++++++++++++------------- docs/api.rst | 38 +++- docs/index.rst | 100 ++++------ requirements-dev.txt | 11 ++ requirements.txt | 10 +- setup.py | 16 +- 16 files changed, 997 insertions(+), 421 deletions(-) create mode 100644 requirements-dev.txt diff --git a/.gitignore b/.gitignore index 5351894..4fd453c 100644 --- a/.gitignore +++ b/.gitignore @@ -8,3 +8,5 @@ dist/ .coverage .pytest_cache/ +_build/ +_static/ diff --git a/README.md b/README.md index 3dbaa79..372cc09 100644 --- a/README.md +++ b/README.md @@ -23,50 +23,9 @@ Camelot is a Python 2.7 library and command-line tool for extracting tabular dat >>> df = tables[0].df -Camelot comes with a CLI where you can specify page numbers, output format, output directory etc. By default, the output files are placed in the same directory as the PDF. - -
-Camelot: PDF parsing made simpler!
-
-usage:
- camelot [options] <method> [<args>...]
-
-options:
- -h, --help                Show this screen.
- -v, --version             Show version.
- -V, --verbose             Verbose.
- -p, --pages <pageno>      Comma-separated list of page numbers.
-                           Example: -p 1,3-6,10  [default: 1]
- -P, --parallel            Parallelize the parsing process.
- -f, --format <format>     Output format. (csv,tsv,html,json,xlsx) [default: csv]
- -l, --log                 Log to file.
- -o, --output <directory>  Output directory.
- -M, --cmargin <cmargin>   Char margin. Chars closer than cmargin are
-                           grouped together to form a word. [default: 2.0]
- -L, --lmargin <lmargin>   Line margin. Lines closer than lmargin are
-                           grouped together to form a textbox. [default: 0.5]
- -W, --wmargin <wmargin>   Word margin. Insert blank spaces between chars
-                           if distance between words is greater than word
-                           margin. [default: 0.1]
- -J, --split_text          Split text lines if they span across multiple cells.
- -K, --flag_size           Flag substring if its size differs from the whole string.
-                           Useful for super and subscripts.
- -X, --print-stats         List stats on the parsing process.
- -Y, --save-stats          Save stats to a file.
- -Z, --plot <dist>         Plot distributions. (page,all,rc)
-
-camelot methods:
- lattice  Looks for lines between data.
- stream   Looks for spaces between data.
-
-See 'camelot <method> -h' for more information on a specific method.
-
- ## Dependencies -Currently, camelot works under Python 2.7. - -The required dependencies include [numpy](http://www.numpy.org/), [OpenCV](http://opencv.org/) and [ghostscript](https://www.ghostscript.com/). +The dependencies include [tk](https://wiki.tcl.tk/3743) and [ghostscript](https://www.ghostscript.com/). ## Installation @@ -78,22 +37,22 @@ pip install -U pip setuptools ### Installing dependencies -numpy can be install using `pip`. OpenCV and ghostscript can be installed using your system's default package manager. +tk and ghostscript can be installed using your system's default package manager. #### Linux -* Arch Linux - -
-sudo pacman -S opencv tk ghostscript
-
- * Ubuntu 
 sudo apt-get install python-opencv python-tk ghostscript
+* Arch Linux + +
+sudo pacman -S opencv tk ghostscript
+
+ #### OS X 
@@ -103,7 +62,7 @@ brew install homebrew/science/opencv ghostscript
 Finally, `cd` into the project directory and install by
 
 
-make install
+python setup.py install
 

 
 ## Development
@@ -118,14 +77,14 @@ git clone https://github.com/socialcopsdev/camelot.git
 
 ### Contributing
 
-See [Contributing doc]().
+See [Contributing guidelines]().
 
 ### Testing
 
 
-make test
+python setup.py test
 

 
 ## License
 
-BSD License
+BSD License
\ No newline at end of file
diff --git a/camelot/core.py b/camelot/core.py
index 2417291..f400fe8 100644
--- a/camelot/core.py
+++ b/camelot/core.py
@@ -8,9 +8,48 @@ import pandas as pd
 
 
 class Cell(object):
-    """
+    """Defines a cell in a table with coordinates relative to a
+    left-bottom origin. (pdf coordinate space)
+
+    Parameters
+    ----------
+    x1 : float
+        x-coordinate of left-bottom point.
+    y1 : float
+        y-coordinate of left-bottom point.
+    x2 : float
+        x-coordinate of right-top point.
+    y2 : float
+        y-coordinate of right-top point.
+
+    Attributes
+    ----------
+    lb : tuple
+        Tuple representing left-bottom coordinates.
+    lt : tuple
+        Tuple representing left-top coordinates.
+    rb : tuple
+        Tuple representing right-bottom coordinates.
+    rt : tuple
+        Tuple representing right-top coordinates.
+    left : bool
+        Whether or not cell is bounded on the left.
+    right : bool
+        Whether or not cell is bounded on the right.
+    top : bool
+        Whether or not cell is bounded on the top.
+    bottom : bool
+        Whether or not cell is bounded on the bottom.
+    hspan : bool
+        Whether or not cell spans horizontally.
+    vspan : bool
+        Whether or not cell spans vertically.
+    text : string
+        Text assigned to cell.
+    bound
 
     """
+
     def __init__(self, x1, y1, x2, y2):
         self.x1 = x1
         self.y1 = y1
@@ -34,37 +73,48 @@ class Cell(object):
 
     @property
     def text(self):
-        """
-
-        Returns
-        -------
-
-        """
         return self._text
 
     @text.setter
     def text(self, t):
-        """
-
-        Parameters
-        ----------
-        t
-        """
         self._text = ''.join([self._text, t])
 
     @property
     def bound(self):
-        """
-
-        Returns
-        -------
-
+        """The number of sides on which the cell is bounded.
         """
         return self.top + self.bottom + self.left + self.right
 
 
 class Table(object):
-    """
+    """Defines a table with coordinates relative to a left-bottom
+    origin. (pdf coordinate space)
+
+    Parameters
+    ----------
+    cols : list
+        List of tuples representing column x-coordinates in increasing
+        order.
+    rows : list
+        List of tuples representing row y-coordinates in decreasing
+        order.
+
+    Attributes
+    ----------
+    df : object
+        pandas.DataFrame
+    shape : tuple
+        Shape of the table.
+    accuracy : float
+        Accuracy with which text was assigned to the cell.
+    whitespace : float
+        Percentage of whitespace in the table.
+    order : int
+        Table number on pdf page.
+    page : int
+        Pdf page number.
+    data
+    parsing_report
 
     """
     def __init__(self, cols, rows):
@@ -84,11 +134,7 @@ class Table(object):
 
     @property
     def data(self):
-        """
-
-        Returns
-        -------
-
+        """Returns two-dimensional list of strings in table.
         """
         d = []
         for row in self.cells:
@@ -97,11 +143,8 @@ class Table(object):
 
     @property
     def parsing_report(self):
-        """
-
-        Returns
-        -------
-
+        """Returns a parsing report with accuracy, %whitespace,
+        table number on page and page number.
         """
         # pretty?
         report = {
@@ -112,27 +155,8 @@ class Table(object):
         }
         return report
 
-    def set_border(self):
-        """
-
-        Returns
-        -------
-
-        """
-        for r in range(len(self.rows)):
-            self.cells[r][0].left = True
-            self.cells[r][len(self.cols) - 1].right = True
-        for c in range(len(self.cols)):
-            self.cells[0][c].top = True
-            self.cells[len(self.rows) - 1][c].bottom = True
-        return self
-
     def set_all_edges(self):
-        """
-
-        Returns
-        -------
-
+        """Sets all table edges to True.
         """
         for row in self.cells:
             for cell in row:
@@ -140,16 +164,16 @@ class Table(object):
         return self
 
     def set_edges(self, vertical, horizontal, joint_close_tol=2):
-        """
+        """Sets a cell's edges to True depending on whether the cell's
+        coordinates overlap with the line's coordinates within a
+        tolerance.
 
         Parameters
         ----------
-        vertical
-        horizontal
-        joint_close_tol
-
-        Returns
-        -------
+        vertical : list
+            List of detected vertical lines.
+        horizontal : list
+            List of detected horizontal lines.
 
         """
         for v in vertical:
@@ -256,12 +280,20 @@ class Table(object):
 
         return self
 
-    def set_span(self):
+    def set_border(self):
+        """Sets table border edges to True.
         """
+        for r in range(len(self.rows)):
+            self.cells[r][0].left = True
+            self.cells[r][len(self.cols) - 1].right = True
+        for c in range(len(self.cols)):
+            self.cells[0][c].top = True
+            self.cells[len(self.rows) - 1][c].bottom = True
+        return self
 
-        Returns
-        -------
-
+    def set_span(self):
+        """Sets a cell's hspan or vspan attribute to True depending
+        on whether the cell spans horizontally or vertically.
         """
         for row in self.cells:
             for cell in row:
@@ -288,6 +320,8 @@ class Table(object):
         return self
 
     def to_csv(self, path, **kwargs):
+        """Write Table to a comma-separated values (csv) file.
+        """
         kw = {
             'encoding': 'utf-8',
             'index': False,
@@ -297,6 +331,8 @@ class Table(object):
         self.df.to_csv(path, **kw)
 
     def to_json(self, path, **kwargs):
+        """Write Table to a JSON file.
+        """
         kw = {
             'orient': 'records'
         }
@@ -306,6 +342,8 @@ class Table(object):
             f.write(json_string)
 
     def to_excel(self, path, **kwargs):
+        """Write Table to an Excel file.
+        """
         kw = {
             'sheet_name': 'page-{}-table-{}'.format(self.page, self.order),
             'encoding': 'utf-8'
@@ -316,13 +354,21 @@ class Table(object):
         writer.save()
 
     def to_html(self, path, **kwargs):
+        """Write Table to an HTML file.
+        """
         html_string = self.df.to_html(**kwargs)
         with open(path, 'w') as f:
             f.write(html_string)
 
 
 class TableList(object):
-    """
+    """Defines a list of camelot.core.Table objects. Each table can
+    be accessed using its index.
+
+    Attributes
+    ----------
+    n : int
+        Number of tables in the list.
 
     """
     def __init__(self, tables):
@@ -371,6 +417,18 @@ class TableList(object):
                 z.write(filepath, os.path.basename(filepath))
 
     def export(self, path, f='csv', compress=False):
+        """Exports the list of tables to specified file format.
+
+        Parameters
+        ----------
+        path : str
+            Filepath
+        f : str
+            File format. Can be csv, json, excel and html.
+        compress : bool
+            Whether or not to add files to a ZIP archive.
+
+        """
         dirname = os.path.dirname(path)
         basename = os.path.basename(path)
         root, ext = os.path.splitext(basename)
@@ -402,9 +460,6 @@ class TableList(object):
 
 
 class Geometry(object):
-    """
-
-    """
     def __init__(self):
         self.text = []
         self.images = ()
@@ -421,9 +476,6 @@ class Geometry(object):
 
 
 class GeometryList(object):
-    """
-
-    """
     def __init__(self, geometry):
         self.text = [g.text for g in geometry]
         self.images = [g.images for g in geometry]
diff --git a/camelot/handlers.py b/camelot/handlers.py
index af4db00..8585432 100644
--- a/camelot/handlers.py
+++ b/camelot/handlers.py
@@ -9,18 +9,43 @@ from .utils import get_page_layout, get_text_objects, get_rotation
 
 
 class PDFHandler(object):
-    """
+    """Handles all operations like temp directory creation, splitting
+    file into single page pdfs, parsing each pdf and then removing the
+    temp directory.
+
+    Parameter
+    ---------
+    filename : str
+        Path to pdf file.
+    pages : str
+        Comma-separated page numbers to parse.
+        Example: 1,3,4 or 1,4-end
 
     """
     def __init__(self, filename, pages='1'):
         self.filename = filename
         if not self.filename.endswith('.pdf'):
             raise TypeError("File format not supported.")
-        self.pages = self.__get_pages(self.filename, pages)
+        self.pages = self._get_pages(self.filename, pages)
         self.tempdir = tempfile.mkdtemp()
 
-    def __get_pages(self, filename, pages):
-        # refactor
+    def _get_pages(self, filename, pages):
+        """Converts pages string to list of ints.
+
+        Parameters
+        ----------
+        filename : str
+            Path to pdf file.
+        pages : str
+            Comma-separated page numbers to parse.
+            Example: 1,3,4 or 1,4-end
+
+        Returns
+        -------
+        P : list
+            List of int page numbers.
+
+        """
         page_numbers = []
         if pages == '1':
             page_numbers.append({'start': 1, 'end': 1})
@@ -42,8 +67,19 @@ class PDFHandler(object):
             P.extend(range(p['start'], p['end'] + 1))
         return sorted(set(P))
 
-    def __save_page(self, filename, page, temp):
-        # refactor
+    def _save_page(self, filename, page, temp):
+        """Saves specified page from pdf into a temporary directory.
+
+        Parameters
+        ----------
+        filename : str
+            Path to pdf file.
+        page : int
+            Page number
+        temp : str
+            Tmp directory
+
+        """
         with open(filename, 'rb') as fileobj:
             infile = PdfFileReader(fileobj, strict=False)
             fpath = os.path.join(temp, 'page-{0}.pdf'.format(page))
@@ -65,28 +101,37 @@ class PDFHandler(object):
                 infile = PdfFileReader(open(fpath_new, 'rb'), strict=False)
                 outfile = PdfFileWriter()
                 p = infile.getPage(0)
-                if rotation == 'left':
+                if rotation == 'anticlockwise':
                     p.rotateClockwise(90)
-                elif rotation == 'right':
+                elif rotation == 'clockwise':
                     p.rotateCounterClockwise(90)
                 outfile.addPage(p)
                 with open(fpath, 'wb') as f:
                     outfile.write(f)
 
     def parse(self, mesh=False, **kwargs):
-        """
+        """Extracts tables by calling parser.get_tables on all single
+        page pdfs.
 
         Parameters
         ----------
-        mesh
-        kwargs
+        mesh : bool (default: False)
+            Whether or not to use Lattice method of parsing. Stream
+            is used by default.
+        kwargs : dict
+            See camelot.read_pdf kwargs.
 
         Returns
         -------
+        tables : camelot.core.TableList
+            List of tables found in pdf.
+        geometry : camelot.core.GeometryList
+            List of geometry objects (contours, lines, joints)
+            found in pdf.
 
         """
         for p in self.pages:
-            self.__save_page(self.filename, p, self.tempdir)
+            self._save_page(self.filename, p, self.tempdir)
         pages = [os.path.join(self.tempdir, 'page-{0}.pdf'.format(p))
                  for p in self.pages]
         tables = []
diff --git a/camelot/image_processing.py b/camelot/image_processing.py
index ec2b384..23923b2 100644
--- a/camelot/image_processing.py
+++ b/camelot/image_processing.py
@@ -9,17 +9,31 @@ from .utils import merge_tuples
 
 
 def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2):
-    """
+    """Thresholds an image using OpenCV's adaptiveThreshold.
 
     Parameters
     ----------
-    imagename
-    process_background
-    blocksize
-    c
+    imagename : string
+        Path to image file.
+    process_background : bool, optional (default: False)
+        Whether or not to process lines that are in background.
+    blocksize : int, optional (default: 15)
+        Size of a pixel neighborhood that is used to calculate a
+        threshold value for the pixel: 3, 5, 7, and so on.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    c : int, optional (default: -2)
+        Constant subtracted from the mean or weighted mean.
+        Normally, it is positive but may be zero or negative as well.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
 
     Returns
     -------
+    img : object
+        numpy.ndarray representing the original image.
+    threshold : object
+        numpy.ndarray representing the thresholded image.
 
     """
     img = cv2.imread(imagename)
@@ -35,17 +49,35 @@ def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2):
 
 
 def find_lines(threshold, direction='horizontal', line_size_scaling=15, iterations=0):
-    """
+    """Finds horizontal and vertical lines by applying morphological
+    transformations on an image.
 
     Parameters
     ----------
-    threshold
-    direction
-    line_size_scaling
-    iterations
+    threshold : object
+        numpy.ndarray representing the thresholded image.
+    direction : string, optional (default: 'horizontal')
+        Specifies whether to find vertical or horizontal lines.
+    line_size_scaling : int, optional (default: 15)
+        Factor by which the page dimensions will be divided to get
+        smallest length of lines that should be detected.
+
+        The larger this value, smaller the detected lines. Making it
+        too large will lead to text being detected as lines.
+    iterations : int, optional (default: 0)
+        Number of times for erosion/dilation is applied.
+
+        For more information, refer `OpenCV's dilate `_.
 
     Returns
     -------
+    dmask : object
+        numpy.ndarray representing pixels where vertical/horizontal
+        lines lie.
+    lines : list
+        List of tuples representing vertical/horizontal lines with
+        coordinates relative to a left-top origin in
+        image coordinate space.
 
     """
     lines = []
@@ -84,15 +116,21 @@ def find_lines(threshold, direction='horizontal', line_size_scaling=15, iteratio
 
 
 def find_table_contours(vertical, horizontal):
-    """
+    """Finds table boundaries using OpenCV's findContours.
 
     Parameters
     ----------
-    vertical
-    horizontal
+    vertical : object
+        numpy.ndarray representing pixels where vertical lines lie.
+    horizontal : object
+        numpy.ndarray representing pixels where horizontal lines lie.
 
     Returns
     -------
+    cont : list
+        List of tuples representing table boundaries. Each tuple is of
+        the form (x, y, w, h) where (x, y) -> left-top, w -> width and
+        h -> height in image coordinate space.
 
     """
     mask = vertical + horizontal
@@ -114,16 +152,26 @@ def find_table_contours(vertical, horizontal):
 
 
 def find_table_joints(contours, vertical, horizontal):
-    """
+    """Finds joints/intersections present inside each table boundary.
 
     Parameters
     ----------
-    contours
-    vertical
-    horizontal
+    contours : list
+        List of tuples representing table boundaries. Each tuple is of
+        the form (x, y, w, h) where (x, y) -> left-top, w -> width and
+        h -> height in image coordinate space.
+    vertical : object
+        numpy.ndarray representing pixels where vertical lines lie.
+    horizontal : object
+        numpy.ndarray representing pixels where horizontal lines lie.
 
     Returns
     -------
+    tables : dict
+        Dict with table boundaries as keys and list of intersections
+        in that boundary as their value.
+        Keys are of the form (x1, y1, x2, y2) where (x1, y1) -> lb
+        and (x2, y2) -> rt in image coordinate space.
 
     """
     joints = np.bitwise_and(vertical, horizontal)
@@ -150,15 +198,24 @@ def find_table_joints(contours, vertical, horizontal):
 
 
 def remove_lines(threshold, line_size_scaling=15):
-    """
+    """Removes lines from a thresholded image.
 
     Parameters
     ----------
-    threshold
-    line_size_scaling
+    threshold : object
+        numpy.ndarray representing the thresholded image.
+    line_size_scaling : int, optional (default: 15)
+        Factor by which the page dimensions will be divided to get
+        smallest length of lines that should be detected.
+
+        The larger this value, smaller the detected lines. Making it
+        too large will lead to text being detected as lines.
 
     Returns
     -------
+    threshold : object
+        numpy.ndarray representing the thresholded image
+        with horizontal and vertical lines removed.
 
     """
     size = threshold.shape[0] // line_size_scaling
@@ -178,16 +235,23 @@ def remove_lines(threshold, line_size_scaling=15):
 
 
 def find_cuts(threshold, char_size_scaling=200):
-    """
+    """Finds cuts made by text projections on y-axis.
 
     Parameters
     ----------
-    threshold
-    char_size_scaling
+    threshold : object
+        numpy.ndarray representing the thresholded image.
+    line_size_scaling : int, optional (default: 200)
+        Factor by which the page dimensions will be divided to get
+        smallest length of lines that should be detected.
+
+        The larger this value, smaller the detected lines. Making it
+        too large will lead to text being detected as lines.
 
     Returns
     -------
-
+    y_cuts : list
+        List of cuts on y-axis.
     """
     size = threshold.shape[0] // char_size_scaling
     char_el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size))
diff --git a/camelot/io.py b/camelot/io.py
index 54f8ef5..33007d4 100644
--- a/camelot/io.py
+++ b/camelot/io.py
@@ -2,20 +2,93 @@ from .handlers import PDFHandler
 
 
 def read_pdf(filepath, pages='1', mesh=False, **kwargs):
-    """
+    """Read PDF and return parsed data tables.
+
+    Note: kwargs annotated with ^ can only be used with mesh=False
+    and kwargs annotated with * can only be used with mesh=True.
 
     Parameters
     ----------
-    filepath
-    pages
-    mesh
-    kwargs
+    filepath : str
+        Path to pdf file.
+    pages : str
+        Comma-separated page numbers to parse.
+        Example: 1,3,4 or 1,4-end
+    mesh : bool (default: False)
+        Whether or not to use Lattice method of parsing. Stream
+        is used by default.
+    table_area : list, optional (default: None)
+        List of table areas to analyze as strings of the form
+        x1,y1,x2,y2 where (x1, y1) -> left-top and
+        (x2, y2) -> right-bottom in pdf coordinate space.
+    columns^ : list, optional (default: None)
+        List of column x-coordinates as strings where the coordinates
+        are comma-separated.
+    split_text : bool, optional (default: False)
+        Whether or not to split a text line if it spans across
+        multiple cells.
+    flag_size : bool, optional (default: False)
+        Whether or not to highlight a substring using 
+        if its size is different from rest of the string, useful for
+        super and subscripts.
+    row_close_tol^ : int, optional (default: 2)
+        Rows will be formed by combining text vertically
+        within this tolerance.
+    col_close_tol^ : int, optional (default: 0)
+        Columns will be formed by combining text horizontally
+        within this tolerance.
+    process_background* : bool, optional (default: False)
+        Whether or not to process lines that are in background.
+    line_size_scaling* : int, optional (default: 15)
+        Factor by which the page dimensions will be divided to get
+        smallest length of lines that should be detected.
+
+        The larger this value, smaller the detected lines. Making it
+        too large will lead to text being detected as lines.
+    copy_text* : list, optional (default: None)
+        {'h', 'v'}
+        Select one or more strings from above and pass them as a list
+        to specify the direction in which text should be copied over
+        when a cell spans multiple rows or columns.
+    shift_text* : list, optional (default: ['l', 't'])
+        {'l', 'r', 't', 'b'}
+        Select one or more strings from above and pass them as a list
+        to specify where the text in a spanning cell should flow.
+    line_close_tol* : int, optional (default: 2)
+        Tolerance parameter used to merge vertical and horizontal
+        detected lines which lie close to each other.
+    joint_close_tol* : int, optional (default: 2)
+        Tolerance parameter used to decide whether the detected lines
+        and points lie close to each other.
+    threshold_blocksize : int, optional (default: 15)
+        Size of a pixel neighborhood that is used to calculate a
+        threshold value for the pixel: 3, 5, 7, and so on.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    threshold_constant : int, optional (default: -2)
+        Constant subtracted from the mean or weighted mean.
+        Normally, it is positive but may be zero or negative as well.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    iterations : int, optional (default: 0)
+        Number of times for erosion/dilation is applied.
+
+        For more information, refer `OpenCV's dilate `_.
+    margins : tuple
+        PDFMiner margins. (char_margin, line_margin, word_margin)
+
+        For for information, refer `PDFMiner docs `_.
+    debug : bool, optional (default: False)
+        Whether or not to return all text objects on the page
+        which can be used to generate a matplotlib plot, to get
+        values for table_area(s) and debugging.
 
     Returns
     -------
+    tables : camelot.core.TableList
 
     """
-    # explicit type conversion
+    # validate kwargs?
     p = PDFHandler(filepath, pages)
     tables, __ = p.parse(mesh=mesh, **kwargs)
     return tables
\ No newline at end of file
diff --git a/camelot/parsers/base.py b/camelot/parsers/base.py
index 79cb986..3ffe146 100644
--- a/camelot/parsers/base.py
+++ b/camelot/parsers/base.py
@@ -5,8 +5,7 @@ from ..utils import get_page_layout, get_text_objects
 
 
 class BaseParser(object):
-    """
-
+    """Defines a base parser.
     """
     def _generate_layout(self, filename):
         self.filename = filename
diff --git a/camelot/parsers/lattice.py b/camelot/parsers/lattice.py
index 15663dc..40a9040 100644
--- a/camelot/parsers/lattice.py
+++ b/camelot/parsers/lattice.py
@@ -11,7 +11,7 @@ from .base import BaseParser
 from ..core import Table
 from ..utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox,
                      merge_close_lines, get_table_index, compute_accuracy,
-                     count_empty_strings, encode_, setup_logging)
+                     compute_whitespace, setup_logging, encode_)
 from ..image_processing import (adaptive_threshold, find_lines,
                                 find_table_contours, find_table_joints)
 
@@ -20,14 +20,74 @@ logger = setup_logging(__name__)
 
 
 class Lattice(BaseParser):
-    """
+    """Lattice method of parsing looks for lines between text
+    to form a table.
+
+    Parameters
+    ----------
+    table_area : list, optional (default: None)
+        List of table areas to analyze as strings of the form
+        x1,y1,x2,y2 where (x1, y1) -> left-top and
+        (x2, y2) -> right-bottom in pdf coordinate space.
+    process_background : bool, optional (default: False)
+        Whether or not to process lines that are in background.
+    line_size_scaling : int, optional (default: 15)
+        Factor by which the page dimensions will be divided to get
+        smallest length of lines that should be detected.
+
+        The larger this value, smaller the detected lines. Making it
+        too large will lead to text being detected as lines.
+    copy_text : list, optional (default: None)
+        {'h', 'v'}
+        Select one or more strings from above and pass them as a list
+        to specify the direction in which text should be copied over
+        when a cell spans multiple rows or columns.
+    shift_text : list, optional (default: ['l', 't'])
+        {'l', 'r', 't', 'b'}
+        Select one or more strings from above and pass them as a list
+        to specify where the text in a spanning cell should flow.
+    split_text : bool, optional (default: False)
+        Whether or not to split a text line if it spans across
+        multiple cells.
+    flag_size : bool, optional (default: False)
+        Whether or not to highlight a substring using 
+        if its size is different from rest of the string, useful for
+        super and subscripts.
+    line_close_tol : int, optional (default: 2)
+        Tolerance parameter used to merge vertical and horizontal
+        detected lines which lie close to each other.
+    joint_close_tol : int, optional (default: 2)
+        Tolerance parameter used to decide whether the detected lines
+        and points lie close to each other.
+    threshold_blocksize : int, optional (default: 15)
+        Size of a pixel neighborhood that is used to calculate a
+        threshold value for the pixel: 3, 5, 7, and so on.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    threshold_constant : int, optional (default: -2)
+        Constant subtracted from the mean or weighted mean.
+        Normally, it is positive but may be zero or negative as well.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    iterations : int, optional (default: 0)
+        Number of times for erosion/dilation is applied.
+
+        For more information, refer `OpenCV's dilate `_.
+    margins : tuple
+        PDFMiner margins. (char_margin, line_margin, word_margin)
+
+        For for information, refer `PDFMiner docs `_.
+    debug : bool, optional (default: False)
+        Whether or not to return all text objects on the page
+        which can be used to generate a matplotlib plot, to get
+        values for table_area(s) and debugging.
 
     """
     def __init__(self, table_area=None, process_background=False,
                  line_size_scaling=15, copy_text=None, shift_text=['l', 't'],
                  split_text=False, flag_size=False, line_close_tol=2,
                  joint_close_tol=2, threshold_blocksize=15, threshold_constant=-2,
-                 iterations=0, margins=(1.0, 0.5, 0.1), debug=None):
+                 iterations=0, margins=(1.0, 0.5, 0.1), debug=False):
         self.table_area = table_area
         self.process_background = process_background
         self.line_size_scaling = line_size_scaling
@@ -45,6 +105,27 @@ class Lattice(BaseParser):
 
     @staticmethod
     def _reduce_index(t, idx, shift_text):
+        """Reduces index of a text object if it lies within a spanning
+        cell.
+
+        Parameters
+        ----------
+        table : camelot.core.Table
+        idx : list
+            List of tuples of the form (r_idx, c_idx, text).
+        shift_text : list
+            {'l', 'r', 't', 'b'}
+            Select one or more strings from above and pass them as a
+            list to specify where the text in a spanning cell should
+            flow.
+
+        Returns
+        -------
+        indices : list
+            List of tuples of the form (r_idx, c_idx, text) where
+            r_idx and c_idx are new row and column indices for text.
+
+        """
         indices = []
         for r_idx, c_idx, text in idx:
             for d in shift_text:
@@ -69,6 +150,22 @@ class Lattice(BaseParser):
 
     @staticmethod
     def _copy_spanning_text(t, copy_text=None):
+        """Copies over text in empty spanning cells.
+
+        Parameters
+        ----------
+        t : camelot.core.Table
+        copy_text : list, optional (default: None)
+            {'h', 'v'}
+            Select one or more strings from above and pass them as a list
+            to specify the direction in which text should be copied over
+            when a cell spans multiple rows or columns.
+
+        Returns
+        -------
+        t : camelot.core.Table
+
+        """
         for f in copy_text:
             if f == "h":
                 for i in range(len(t.cells)):
@@ -199,7 +296,7 @@ class Lattice(BaseParser):
         table.df = pd.DataFrame(data)
         table.shape = table.df.shape
 
-        whitespace, __, __ = count_empty_strings(data)
+        whitespace = compute_whitespace(data)
         table.accuracy = accuracy
         table.whitespace = whitespace
         table.order = table_idx + 1
@@ -208,16 +305,6 @@ class Lattice(BaseParser):
         return table
 
     def extract_tables(self, filename):
-        """
-
-        Parameters
-        ----------
-        filename
-
-        Returns
-        -------
-
-        """
         logger.info('Processing {}'.format(os.path.basename(filename)))
         self._generate_layout(filename)
 
@@ -237,7 +324,7 @@ class Lattice(BaseParser):
             table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s)
             _tables.append(table)
 
-        if self.debug is not None:
+        if self.debug:
             text = []
             text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text])
             text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text])
diff --git a/camelot/parsers/stream.py b/camelot/parsers/stream.py
index e1a4980..f547bf0 100644
--- a/camelot/parsers/stream.py
+++ b/camelot/parsers/stream.py
@@ -8,19 +8,54 @@ import pandas as pd
 from .base import BaseParser
 from ..core import Table
 from ..utils import (text_in_bbox, get_table_index, compute_accuracy,
-                     count_empty_strings, encode_, setup_logging)
+                     compute_whitespace, setup_logging, encode_)
 
 
 logger = setup_logging(__name__)
 
 
 class Stream(BaseParser):
-    """
+    """Stream method of parsing looks for spaces between text
+    to form a table.
+
+    If you want to specify columns when specifying multiple table
+    areas, make sure that the length of both lists are equal.
+
+    Parameters
+    ----------
+    table_area : list, optional (default: None)
+        List of table areas to analyze as strings of the form
+        x1,y1,x2,y2 where (x1, y1) -> left-top and
+        (x2, y2) -> right-bottom in pdf coordinate space.
+    columns : list, optional (default: None)
+        List of column x-coordinates as strings where the coordinates
+        are comma-separated.
+    split_text : bool, optional (default: False)
+        Whether or not to split a text line if it spans across
+        multiple cells.
+    flag_size : bool, optional (default: False)
+        Whether or not to highlight a substring using 
+        if its size is different from rest of the string, useful for
+        super and subscripts.
+    row_close_tol : int, optional (default: 2)
+        Rows will be formed by combining text vertically
+        within this tolerance.
+    col_close_tol : int, optional (default: 0)
+        Columns will be formed by combining text horizontally
+        within this tolerance.
+    margins : tuple, optional (default: (1.0, 0.5, 0.1))
+        PDFMiner margins. (char_margin, line_margin, word_margin)
+
+        For for information, refer `PDFMiner docs `_.
+    debug : bool, optional (default: False)
+        Whether or not to return all text objects on the page
+        which can be used to generate a matplotlib plot, to get
+        values for table_area(s), columns and debugging.
 
     """
     def __init__(self, table_area=None, columns=None, split_text=False,
                  flag_size=False, row_close_tol=2, col_close_tol=0,
-                 margins=(1.0, 0.5, 0.1), debug=None):
+                 margins=(1.0, 0.5, 0.1), debug=False):
         self.table_area = table_area
         self.columns = columns
         self._validate_columns()
@@ -33,6 +68,20 @@ class Stream(BaseParser):
 
     @staticmethod
     def _text_bbox(t_bbox):
+        """Returns bounding box for the text present on a page.
+
+        Parameters
+        ----------
+        t_bbox : dict
+            Dict with two keys 'horizontal' and 'vertical' with lists of
+            LTTextLineHorizontals and LTTextLineVerticals respectively.
+
+        Returns
+        -------
+        text_bbox : tuple
+            Tuple (x0, y0, x1, y1) in pdf coordinate space.
+
+        """
         xmin = min([t.x0 for direction in t_bbox for t in t_bbox[direction]])
         ymin = min([t.y0 for direction in t_bbox for t in t_bbox[direction]])
         xmax = max([t.x1 for direction in t_bbox for t in t_bbox[direction]])
@@ -42,6 +91,21 @@ class Stream(BaseParser):
 
     @staticmethod
     def _group_rows(text, row_close_tol=2):
+        """Groups PDFMiner text objects into rows vertically
+        within a tolerance.
+
+        Parameters
+        ----------
+        text : list
+            List of PDFMiner text objects.
+        row_close_tol : int, optional (default: 2)
+
+        Returns
+        -------
+        rows : list
+            Two-dimensional list of text objects grouped into rows.
+
+        """
         row_y = 0
         rows = []
         temp = []
@@ -61,6 +125,21 @@ class Stream(BaseParser):
 
     @staticmethod
     def _merge_columns(l, col_close_tol=0):
+        """Merges column boundaries horizontally if they overlap
+        or lie within a tolerance.
+
+        Parameters
+        ----------
+        l : list
+            List of column x-coordinate tuples.
+        col_close_tol : int, optional (default: 0)
+
+        Returns
+        -------
+        merged : list
+            List of merged column x-coordinate tuples.
+
+        """
         merged = []
         for higher in l:
             if not merged:
@@ -89,6 +168,21 @@ class Stream(BaseParser):
 
     @staticmethod
     def _join_rows(rows_grouped, text_y_max, text_y_min):
+        """Makes row coordinates continuous.
+
+        Parameters
+        ----------
+        rows_grouped : list
+            Two-dimensional list of text objects grouped into rows.
+        text_y_max : int
+        text_y_min : int
+
+        Returns
+        -------
+        rows : list
+            List of continuous row y-coordinate tuples.
+
+        """
         row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r)
                     if len(r) > 0 else 0 for r in rows_grouped]
         rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))]
@@ -100,6 +194,23 @@ class Stream(BaseParser):
 
     @staticmethod
     def _add_columns(cols, text, row_close_tol):
+        """Adds columns to existing list by taking into account
+        the text that lies outside the current column x-coordinates.
+
+        Parameters
+        ----------
+        cols : list
+            List of column x-coordinate tuples.
+        text : list
+            List of PDFMiner text objects.
+        ytol : int
+
+        Returns
+        -------
+        cols : list
+            Updated list of column x-coordinate tuples.
+
+        """
         if text:
             text = Stream._group_rows(text, row_close_tol=row_close_tol)
             elements = [len(r) for r in text]
@@ -110,6 +221,21 @@ class Stream(BaseParser):
 
     @staticmethod
     def _join_columns(cols, text_x_min, text_x_max):
+        """Makes column coordinates continuous.
+
+        Parameters
+        ----------
+        cols : list
+            List of column x-coordinate tuples.
+        text_x_min : int
+        text_y_max : int
+
+        Returns
+        -------
+        cols : list
+            Updated list of column x-coordinate tuples.
+
+        """
         cols = sorted(cols)
         cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))]
         cols.insert(0, text_x_min)
@@ -207,7 +333,7 @@ class Stream(BaseParser):
         table.df = pd.DataFrame(data)
         table.shape = table.df.shape
 
-        whitespace, __, __ = count_empty_strings(data)
+        whitespace = compute_whitespace(data)
         table.accuracy = accuracy
         table.whitespace = whitespace
         table.order = table_idx + 1
@@ -216,16 +342,6 @@ class Stream(BaseParser):
         return table
 
     def extract_tables(self, filename):
-        """
-
-        Parameters
-        ----------
-        filename
-
-        Returns
-        -------
-
-        """
         logger.info('Processing {}'.format(os.path.basename(filename)))
         self._generate_layout(filename)
 
@@ -244,7 +360,7 @@ class Stream(BaseParser):
             table = self._generate_table(table_idx, cols, rows)
             _tables.append(table)
 
-        if self.debug is not None:
+        if self.debug:
             text = []
             text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.horizontal_text])
             text.extend([(t.x0, t.y0, t.x1, t.y1) for t in self.vertical_text])
diff --git a/camelot/plotting.py b/camelot/plotting.py
index 7d4e4d3..2d0bb3c 100644
--- a/camelot/plotting.py
+++ b/camelot/plotting.py
@@ -6,19 +6,101 @@ from .handlers import PDFHandler
 
 
 def plot_geometry(filepath, pages='1', mesh=False, geometry_type='text', **kwargs):
-    """
+    """Plot geometry found on pdf page based on type specified,
+    useful for debugging and playing with different parameters to get
+    the best output.
+
+    Note: kwargs annotated with ^ can only be used with mesh=False
+    and kwargs annotated with * can only be used with mesh=True.
 
     Parameters
     ----------
-    filepath
-    pages
-    mesh
-    geometry_type
-    kwargs
+    filepath : str
+        Path to pdf file.
+    pages : str
+        Comma-separated page numbers to parse.
+        Example: 1,3,4 or 1,4-end
+    mesh : bool (default: False)
+        Whether or not to use Lattice method of parsing. Stream
+        is used by default.
+    geometry_type : str, optional (default: 'text')
+        'text' : Plot text objects found on page, useful to get
+                 table_area and columns coordinates.
+        'table' : Plot parsed table.
+        'contour'* : Plot detected rectangles.
+        'joint'* : Plot detected line intersections.
+        'line'* : Plot detected lines.
+    table_area : list, optional (default: None)
+        List of table areas to analyze as strings of the form
+        x1,y1,x2,y2 where (x1, y1) -> left-top and
+        (x2, y2) -> right-bottom in pdf coordinate space.
+    columns^ : list, optional (default: None)
+        List of column x-coordinates as strings where the coordinates
+        are comma-separated.
+    split_text : bool, optional (default: False)
+        Whether or not to split a text line if it spans across
+        multiple cells.
+    flag_size : bool, optional (default: False)
+        Whether or not to highlight a substring using 
+        if its size is different from rest of the string, useful for
+        super and subscripts.
+    row_close_tol^ : int, optional (default: 2)
+        Rows will be formed by combining text vertically
+        within this tolerance.
+    col_close_tol^ : int, optional (default: 0)
+        Columns will be formed by combining text horizontally
+        within this tolerance.
+    process_background* : bool, optional (default: False)
+        Whether or not to process lines that are in background.
+    line_size_scaling* : int, optional (default: 15)
+        Factor by which the page dimensions will be divided to get
+        smallest length of lines that should be detected.
+
+        The larger this value, smaller the detected lines. Making it
+        too large will lead to text being detected as lines.
+    copy_text* : list, optional (default: None)
+        {'h', 'v'}
+        Select one or more strings from above and pass them as a list
+        to specify the direction in which text should be copied over
+        when a cell spans multiple rows or columns.
+    shift_text* : list, optional (default: ['l', 't'])
+        {'l', 'r', 't', 'b'}
+        Select one or more strings from above and pass them as a list
+        to specify where the text in a spanning cell should flow.
+    line_close_tol* : int, optional (default: 2)
+        Tolerance parameter used to merge vertical and horizontal
+        detected lines which lie close to each other.
+    joint_close_tol* : int, optional (default: 2)
+        Tolerance parameter used to decide whether the detected lines
+        and points lie close to each other.
+    threshold_blocksize : int, optional (default: 15)
+        Size of a pixel neighborhood that is used to calculate a
+        threshold value for the pixel: 3, 5, 7, and so on.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    threshold_constant : int, optional (default: -2)
+        Constant subtracted from the mean or weighted mean.
+        Normally, it is positive but may be zero or negative as well.
+
+        For more information, refer `OpenCV's adaptiveThreshold `_.
+    iterations : int, optional (default: 0)
+        Number of times for erosion/dilation is applied.
+
+        For more information, refer `OpenCV's dilate `_.
+    margins : tuple
+        PDFMiner margins. (char_margin, line_margin, word_margin)
+
+        For for information, refer `PDFMiner docs `_.
+    debug : bool, optional (default: False)
+        Whether or not to return all text objects on the page
+        which can be used to generate a matplotlib plot, to get
+        values for table_area(s) and debugging.
+
     """
-    # explicit type conversion
+    # validate kwargs?
     p = PDFHandler(filepath, pages)
-    kwargs.update({'debug': geometry_type})
+    debug = True if geometry_type else False
+    kwargs.update({'debug': debug})
     __, geometry = p.parse(mesh=mesh, **kwargs)
 
     if geometry_type == 'text':
diff --git a/camelot/utils.py b/camelot/utils.py
index d132b5a..075c0df 100644
--- a/camelot/utils.py
+++ b/camelot/utils.py
@@ -19,14 +19,15 @@ from pdfminer.layout import (LAParams, LTAnno, LTChar, LTTextLineHorizontal,
 
 
 def setup_logging(name):
-    """
+    """Sets up a logger with StreamHandler.
 
     Parameters
     ----------
-    name
+    name : str
 
     Returns
     -------
+    logger : logging.Logger
 
     """
     logger = logging.getLogger(name)
@@ -47,15 +48,16 @@ logger = setup_logging(__name__)
 
 
 def translate(x1, x2):
-    """
+    """Translates x2 by x1.
 
     Parameters
     ----------
-    x1
-    x2
+    x1 : float
+    x2 : float
 
     Returns
     -------
+    x2 : float
 
     """
     x2 += x1
@@ -63,15 +65,16 @@ def translate(x1, x2):
 
 
 def scale(x, s):
-    """
+    """Scales x by scaling factor s.
 
     Parameters
     ----------
-    x
-    s
+    x : float
+    s : float
 
     Returns
     -------
+    x : float
 
     """
     x *= s
@@ -79,18 +82,21 @@ def scale(x, s):
 
 
 def rotate(x1, y1, x2, y2, angle):
-    """
+    """Rotates point x2, y2 about point x1, y1 by angle.
 
     Parameters
     ----------
-    x1
-    y1
-    x2
-    y2
-    angle
+    x1 : float
+    y1 : float
+    x2 : float
+    y2 : float
+    angle : float
+        Angle in radians.
 
     Returns
     -------
+    xnew : float
+    ynew : float
 
     """
     s = np.sin(angle)
@@ -105,15 +111,26 @@ def rotate(x1, y1, x2, y2, angle):
 
 
 def scale_pdf(k, factors):
-    """
+    """Translates and scales pdf coordinate space to image
+    coordinate space.
 
     Parameters
     ----------
-    k
-    factors
+    k : tuple
+        Tuple (x1, y1, x2, y2) representing table bounding box where
+        (x1, y1) -> lt and (x2, y2) -> rb in PDFMiner coordinate
+        space.
+    factors : tuple
+        Tuple (scaling_factor_x, scaling_factor_y, pdf_y) where the
+        first two elements are scaling factors and pdf_y is height of
+        pdf.
 
     Returns
     -------
+    knew : tuple
+        Tuple (x1, y1, x2, y2) representing table bounding box where
+        (x1, y1) -> lt and (x2, y2) -> rb in OpenCV coordinate
+        space.
 
     """
     x1, y1, x2, y2 = k
@@ -127,17 +144,28 @@ def scale_pdf(k, factors):
 
 
 def scale_image(tables, v_segments, h_segments, factors):
-    """
+    """Translates and scales image coordinate space to pdf
+    coordinate space.
 
     Parameters
     ----------
-    tables
-    v_segments
-    h_segments
-    factors
+    tables : dict
+        Dict with table boundaries as keys and list of intersections
+        in that boundary as value.
+    v_segments : list
+        List of vertical line segments.
+    h_segments : list
+        List of horizontal line segments.
+    factors : tuple
+        Tuple (scaling_factor_x, scaling_factor_y, img_y) where the
+        first two elements are scaling factors and img_y is height of
+        image.
 
     Returns
     -------
+    tables_new : dict
+    v_segments_new : dict
+    h_segments_new : dict
 
     """
     scaling_factor_x, scaling_factor_y, img_y = factors
@@ -172,16 +200,23 @@ def scale_image(tables, v_segments, h_segments, factors):
 
 
 def get_rotation(lttextlh, lttextlv, ltchar):
-    """
+    """Detects if text in table is rotated or not using the current
+    transformation matrix (CTM) and returns its orientation.
 
     Parameters
     ----------
-    lttextlh
-    lttextlv
-    ltchar
+    lttextlh : list
+        List of PDFMiner LTTextLineHorizontal objects.
+    lttextlv : list
+        List of PDFMiner LTTextLineVertical objects.
+    ltchar : list
+        List of PDFMiner LTChar objects.
 
     Returns
     -------
+    rotation : string
+        '' if text in table is upright, 'left' if rotated 90 degree
+        anticlockwise and 'right' if rotated 90 degree clockwise.
 
     """
     rotation = ''
@@ -190,21 +225,30 @@ def get_rotation(lttextlh, lttextlv, ltchar):
     if hlen < vlen:
         clockwise = sum(t.matrix[1] < 0 and t.matrix[2] > 0 for t in ltchar)
         anticlockwise = sum(t.matrix[1] > 0 and t.matrix[2] < 0 for t in ltchar)
-        rotation = 'left' if clockwise < anticlockwise else 'right'
+        rotation = 'clockwise' if clockwise < anticlockwise else 'anticlockwise'
     return rotation
 
 
 def segments_in_bbox(bbox, v_segments, h_segments):
-    """
+    """Returns all line segments present inside a bounding box.
 
     Parameters
     ----------
-    bbox
-    v_segments
-    h_segments
+    bbox : tuple
+        Tuple (x1, y1, x2, y2) representing a bounding box where
+        (x1, y1) -> lb and (x2, y2) -> rt in PDFMiner coordinate
+        space.
+    v_segments : list
+        List of vertical line segments.
+    h_segments : list
+        List of vertical horizontal segments.
 
     Returns
     -------
+    v_s : list
+        List of vertical line segments that lie inside table.
+    h_s : list
+        List of horizontal line segments that lie inside table.
 
     """
     lb = (bbox[0], bbox[1])
@@ -217,35 +261,42 @@ def segments_in_bbox(bbox, v_segments, h_segments):
 
 
 def text_in_bbox(bbox, text):
-    """
+    """Returns all text objects present inside a bounding box.
 
     Parameters
     ----------
-    bbox
-    text
+    bbox : tuple
+        Tuple (x1, y1, x2, y2) representing a bounding box where
+        (x1, y1) -> lb and (x2, y2) -> rt in PDFMiner coordinate
+        space.
+    text : List of PDFMiner text objects.
 
     Returns
     -------
+    t_bbox : list
+        List of PDFMiner text objects that lie inside table.
 
     """
     lb = (bbox[0], bbox[1])
     rt = (bbox[2], bbox[3])
     t_bbox = [t for t in text if lb[0] - 2 <= (t.x0 + t.x1) / 2.0
-                 <= rt[0] + 2 and lb[1] - 2 <= (t.y0 + t.y1) / 2.0
-                 <= rt[1] + 2]
+                <= rt[0] + 2 and lb[1] - 2 <= (t.y0 + t.y1) / 2.0
+                <= rt[1] + 2]
     return t_bbox
 
 
 def remove_close_lines(ar, line_close_tol=2):
-    """
+    """Removes lines which are within a tolerance, based on their x or
+    y axis projections.
 
     Parameters
     ----------
-    ar
-    line_close_tol
+    ar : list
+    line_close_tol : int, optional (default: 2)
 
     Returns
     -------
+    ret : list
 
     """
     ret = []
@@ -262,15 +313,17 @@ def remove_close_lines(ar, line_close_tol=2):
 
 
 def merge_close_lines(ar, line_close_tol=2):
-    """
+    """Merges lines which are within a tolerance by calculating a
+    moving mean, based on their x or y axis projections.
 
     Parameters
     ----------
-    ar
-    line_close_tol
+    ar : list
+    line_close_tol : int, optional (default: 2)
 
     Returns
     -------
+    ret : list
 
     """
     ret = []
@@ -288,15 +341,19 @@ def merge_close_lines(ar, line_close_tol=2):
 
 
 def flag_font_size(textline, direction):
-    """
+    """Flags super/subscripts in text by enclosing them with .
+    May give false positives.
 
     Parameters
     ----------
-    textline
-    direction
+    textline : list
+        List of PDFMiner LTChar objects.
+    direction : string
+        Direction of the PDFMiner LTTextLine object.
 
     Returns
     -------
+    fstring : string
 
     """
     if direction == 'horizontal':
@@ -324,18 +381,27 @@ def flag_font_size(textline, direction):
     return fstring
 
 
-def split_textline(table, textline, direction, flag_size=True):
-    """
+def split_textline(table, textline, direction, flag_size=False):
+    """Splits PDFMiner LTTextLine into substrings if it spans across
+    multiple rows/columns.
 
     Parameters
     ----------
-    table
-    textline
-    direction
-    flag_size
+    table : camelot.core.Table
+    textline : object
+        PDFMiner LTTextLine object.
+    direction : string
+        Direction of the PDFMiner LTTextLine object.
+    flag_size : bool, optional (default: False)
+        Whether or not to highlight a substring using 
+        if its size is different from rest of the string, useful for
+        super and subscripts.
 
     Returns
     -------
+    grouped_chars : list
+        List of tuples of the form (idx, text) where idx is the index
+        of row/column and text is the an lttextline substring.
 
     """
     idx = 0
@@ -388,19 +454,38 @@ def split_textline(table, textline, direction, flag_size=True):
     return grouped_chars
 
 
-def get_table_index(table, t, direction, split_text=False, flag_size=True):
-    """
+def get_table_index(table, t, direction, split_text=False, flag_size=False):
+    """Gets indices of the table cell where given text object lies by
+    comparing their y and x-coordinates.
 
     Parameters
     ----------
-    table
-    t
-    direction
-    split_text
-    flag_size
+    table : camelot.core.Table
+    t : object
+        PDFMiner LTTextLine object.
+    direction : string
+        Direction of the PDFMiner LTTextLine object.
+    split_text : bool, optional (default: False)
+        Whether or not to split a text line if it spans across
+        multiple cells.
+    flag_size : bool, optional (default: False)
+        Whether or not to highlight a substring using 
+        if its size is different from rest of the string, useful for
+        super and subscripts.
 
     Returns
     -------
+    indices : list
+        List of tuples of the form (r_idx, c_idx, text) where r_idx
+        and c_idx are row and column indices.
+    error : float
+        Assignment error, percentage of text area that lies outside
+        a cell.
+        +-------+
+        |       |
+        |   [Text bounding box]
+        |       |
+        +-------+
 
     """
     r_idx, c_idx = [-1] * 2
@@ -450,14 +535,19 @@ def get_table_index(table, t, direction, split_text=False, flag_size=True):
 
 
 def compute_accuracy(error_weights):
-    """
+    """Calculates a score based on weights assigned to various
+    parameters and their error percentages.
 
     Parameters
     ----------
-    error_weights
+    error_weights : list
+        Two-dimensional list of the form [[p1, e1], [p2, e2], ...]
+        where pn is the weight assigned to list of errors en.
+        Sum of pn should be equal to 100.
 
     Returns
     -------
+    score : float
 
     """
     SCORE_VAL = 100
@@ -474,50 +564,40 @@ def compute_accuracy(error_weights):
     return score
 
 
-def count_empty_strings(d):
-    """
+def compute_whitespace(d):
+    """Calculates the percentage of empty strings in a
+    two-dimensional list.
 
     Parameters
     ----------
-    d
+    d : list
 
     Returns
     -------
+    whitespace : float
+        Percentage of empty cells.
 
     """
-    empty_p = 0
+    whitespace = 0
     r_nempty_cells, c_nempty_cells = [], []
     for i in d:
         for j in i:
             if j.strip() == '':
-                empty_p += 1
-    empty_p = 100 * (empty_p / float(len(d) * len(d[0])))
-    for row in d:
-        r_nempty_c = 0
-        for r in row:
-            if r.strip() != '':
-                r_nempty_c += 1
-        r_nempty_cells.append(r_nempty_c)
-    d = zip(*d)
-    d = [list(col) for col in d]
-    for col in d:
-        c_nempty_c = 0
-        for c in col:
-            if c.strip() != '':
-                c_nempty_c += 1
-        c_nempty_cells.append(c_nempty_c)
-    return empty_p, r_nempty_cells, c_nempty_cells
+                whitespace += 1
+    whitespace = 100 * (whitespace / float(len(d) * len(d[0])))
+    return whitespace
 
 
-def remove_empty_strings(d):
-    """
+def remove_empty(d):
+    """Removes empty rows and columns from a two-dimensional list.
 
     Parameters
     ----------
-    d
+    d : list
 
     Returns
     -------
+    d : list
 
     """
     for i, row in enumerate(d):
@@ -530,70 +610,46 @@ def remove_empty_strings(d):
 
 
 def encode_(ar):
-    """
+    """Encodes two-dimensional list into unicode.
 
     Parameters
     ----------
-    ar
+    ar : list
 
     Returns
     -------
+    ar : list
 
     """
     ar = [[r.encode('utf-8') for r in row] for row in ar]
     return ar
 
 
-def get_text_objects(layout, ltype="char", t=None):
-    """
-
-    Parameters
-    ----------
-    layout
-    ltype
-    t
-
-    Returns
-    -------
-
-    """
-    if ltype == "char":
-        LTObject = LTChar
-    elif ltype == "lh":
-        LTObject = LTTextLineHorizontal
-    elif ltype == "lv":
-        LTObject = LTTextLineVertical
-    if t is None:
-        t = []
-    try:
-        for obj in layout._objs:
-            if isinstance(obj, LTObject):
-                t.append(obj)
-            else:
-                t += get_text_objects(obj, ltype=ltype)
-    except AttributeError:
-        pass
-    return t
-
-
-def get_page_layout(pname, char_margin=1.0, line_margin=0.5, word_margin=0.1,
+def get_page_layout(filename, char_margin=1.0, line_margin=0.5, word_margin=0.1,
                detect_vertical=True, all_texts=True):
-    """
+    """Returns a PDFMiner LTPage object and page dimension of a single
+    page pdf. See https://euske.github.io/pdfminer/ to get definitions
+    of kwargs.
 
     Parameters
     ----------
-    pname
-    char_margin
-    line_margin
-    word_margin
-    detect_vertical
-    all_texts
+    filename : string
+        Path to pdf file.
+    char_margin : float
+    line_margin : float
+    word_margin : float
+    detect_vertical : bool
+    all_texts : bool
 
     Returns
     -------
+    layout : object
+        PDFMiner LTPage object.
+    dim : tuple
+        Dimension of pdf page in the form (width, height).
 
     """
-    with open(pname, 'r') as f:
+    with open(filename, 'r') as f:
         parser = PDFParser(f)
         document = PDFDocument(parser)
         if not document.is_extractable:
@@ -615,12 +671,56 @@ def get_page_layout(pname, char_margin=1.0, line_margin=0.5, word_margin=0.1,
         return layout, dim
 
 
-def merge_tuples(tuples):
-    """
+def get_text_objects(layout, ltype="char", t=None):
+    """Recursively parses pdf layout to get a list of
+    PDFMiner text objects.
 
     Parameters
     ----------
-    tuples
+    layout : object
+        PDFMiner LTPage object.
+    ltype : string
+        Specify 'char', 'lh', 'lv' to get LTChar, LTTextLineHorizontal,
+        and LTTextLineVertical objects respectively.
+    t : list
+
+    Returns
+    -------
+    t : list
+        List of PDFMiner text objects.
+
+    """
+    if ltype == "char":
+        LTObject = LTChar
+    elif ltype == "lh":
+        LTObject = LTTextLineHorizontal
+    elif ltype == "lv":
+        LTObject = LTTextLineVertical
+    if t is None:
+        t = []
+    try:
+        for obj in layout._objs:
+            if isinstance(obj, LTObject):
+                t.append(obj)
+            else:
+                t += get_text_objects(obj, ltype=ltype)
+    except AttributeError:
+        pass
+    return t
+
+
+def merge_tuples(tuples):
+    """Merges a list of overlapping tuples.
+
+    Parameters
+    ----------
+    tuples : list
+        List of tuples where a tuple is a single axis coordinate pair.
+
+    Yields
+    ------
+    tuple
+
     """
     merged = list(tuples[0])
     for s, e in tuples:
diff --git a/docs/api.rst b/docs/api.rst
index 99a9e7f..3bd0f3d 100644
--- a/docs/api.rst
+++ b/docs/api.rst
@@ -4,17 +4,37 @@
 API Reference
 =============
 
-Pdf
-===
-.. automodule:: camelot.pdf
+camelot.read_pdf
+================
+.. automodule:: camelot.read_pdf
    :members:
 
-Lattice
-=======
-.. automodule:: camelot.lattice
+camelot.handlers.PDFHandler
+===========================
+.. automodule:: camelot.handlers.PDFHandler
    :members:
 
-Stream
-======
-.. automodule:: camelot.stream
+camelot.parsers.Stream
+======================
+.. automodule:: camelot.parsers.Stream
+   :members:
+
+camelot.parsers.Lattice
+=======================
+.. automodule:: camelot.parsers.Lattice
+   :members:
+
+camelot.core.Cell
+=================
+.. automodule:: camelot.core.Cell
+   :members:
+
+camelot.core.Table
+==================
+.. automodule:: camelot.core.Table
+   :members:
+
+camelot.core.TableList
+======================
+.. automodule:: camelot.core.TableList
    :members:
\ No newline at end of file
diff --git a/docs/index.rst b/docs/index.rst
index b186ad7..4b91c69 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -3,11 +3,11 @@
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
-==================================
-Camelot: pdf parsing made simpler!
-==================================
+=====================================
+Camelot: PDF Table Parsing for Humans
+=====================================
 
-Camelot is a Python 2.7 library and command-line tool for getting tables out of pdf files.
+Camelot is a Python 2.7 library and command-line tool for extracting tabular data from PDF files.
 
 Why another pdf table parsing library?
 ======================================
@@ -32,12 +32,22 @@ Usage
 
 ::
 
-    >>> from camelot.pdf import Pdf
-    >>> from camelot.lattice import Lattice
-
-    >>> manager = Pdf(Lattice(), 'us-030.pdf')
-    >>> tables = manager.extract()
-    >>> print tables['page-1']['table-1']['data']
+    >>> import camelot
+    >>> tables = camelot.read_pdf("foo.pdf")
+    >>> tables
+    
+    >>> tables.export("foo.csv", f="csv", compress=True) # json, excel, html
+    >>> tables[0]
+    
+    >>> tables[0].to_csv("foo.csv") # to_json, to_excel, to_html
+    >>> tables[0].parsing_report
+    {
+        "accuracy": 96,
+        "whitespace": 80,
+        "order": 1,
+        "page": 1
+    }
+    >>> df = tables[0].df
 
 .. csv-table::
    :header: "Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""
@@ -49,45 +59,6 @@ Usage
    "2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"
    "4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"
 
-Camelot comes with a CLI where you can specify page numbers, output format, output directory etc. By default, the output files are placed in the same directory as the PDF.
-
-::
-
-    Camelot: PDF parsing made simpler!
-
-    usage:
-     camelot [options]  [...]
-
-    options:
-     -h, --help                Show this screen.
-     -v, --version             Show version.
-     -V, --verbose             Verbose.
-     -p, --pages       Comma-separated list of page numbers.
-                               Example: -p 1,3-6,10  [default: 1]
-     -P, --parallel            Parallelize the parsing process.
-     -f, --format      Output format. (csv,tsv,html,json,xlsx) [default: csv]
-     -l, --log                 Log to file.
-     -o, --output   Output directory.
-     -M, --cmargin    Char margin. Chars closer than cmargin are
-                               grouped together to form a word. [default: 1.0]
-     -L, --lmargin    Line margin. Lines closer than lmargin are
-                               grouped together to form a textbox. [default: 0.5]
-     -W, --wmargin    Word margin. Insert blank spaces between chars
-                               if distance between words is greater than word
-                               margin. [default: 0.1]
-     -J, --split_text          Split text lines if they span across multiple cells.
-     -K, --flag_size           Flag substring if its size differs from the whole string.
-                               Useful for super and subscripts.
-     -X, --print-stats         List stats on the parsing process.
-     -Y, --save-stats          Save stats to a file.
-     -Z, --plot          Plot distributions. (page,all,rc)
-
-    camelot methods:
-     lattice  Looks for lines between data.
-     stream   Looks for spaces between data.
-
-    See 'camelot  -h' for more information on a specific method.
-
 Installation
 ============
 
@@ -95,42 +66,41 @@ Make sure you have the most updated versions for `pip` and `setuptools`. You can
 
     pip install -U pip setuptools
 
-The required dependencies include `numpy`_, `OpenCV`_ and `ImageMagick`_.
+The dependencies include `tk`_ and `ghostscript`_.
 
-.. _numpy: http://www.numpy.org/
-.. _OpenCV: http://opencv.org/
-.. _ImageMagick: http://www.imagemagick.org/script/index.php
+.. _tk: https://wiki.tcl.tk/3743
+.. _ghostscript: https://www.ghostscript.com/
 
 Installing dependencies
 -----------------------
 
-numpy can be install using `pip`. OpenCV and imagemagick can be installed using your system's default package manager.
+tk and ghostscript can be installed using your system's default package manager.
 
 Linux
 ^^^^^
 
-* Arch Linux
-
-::
-
-    sudo pacman -S opencv imagemagick
-
 * Ubuntu
 
 ::
 
-    sudo apt-get install libopencv-dev python-opencv imagemagick
+    sudo apt-get install python-opencv python-tk ghostscript
+
+* Arch Linux
+
+::
+
+    sudo pacman -S opencv tk ghostscript
 
 OS X
 ^^^^
 
 ::
 
-    brew install homebrew/science/opencv imagemagick
+    brew install homebrew/science/opencv ghostscript
 
 Finally, `cd` into the project directory and install by::
 
-    make install
+    python setup.py install
 
 API Reference
 =============
@@ -150,14 +120,14 @@ You can check the latest sources with the command::
 Contributing
 ------------
 
-See :doc:`Contributing doc `.
+See :doc:`Contributing guidelines `.
 
 Testing
 -------
 
 ::
 
-    make test
+    python setup.py test
 
 License
 =======
diff --git a/requirements-dev.txt b/requirements-dev.txt
new file mode 100644
index 0000000..d907a0b
--- /dev/null
+++ b/requirements-dev.txt
@@ -0,0 +1,11 @@
+click==6.7
+matplotlib==2.2.3
+numpy==1.13.3
+opencv-python==3.4.2.17
+pandas==0.23.4
+pdfminer==20140328
+Pillow==5.2.0
+PyPDF2==1.26.0
+pytest==3.8.0
+pytest-runner==4.2
+Sphinx==1.8.0b1
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 0535f0c..d1a33b7 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,8 +1,8 @@
-docopt==0.6.2
+click==6.7
 matplotlib==2.2.3
-nose==1.3.7
+numpy==1.13.3
+opencv-python==3.4.2.17
+pandas==0.23.4
 pdfminer==20140328
-pyexcel-xlsx==0.5.6
 Pillow==5.2.0
-PyPDF2==1.26.0
-Sphinx==1.8.0b1
\ No newline at end of file
+PyPDF2==1.26.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
index b496b51..14c0516 100644
--- a/setup.py
+++ b/setup.py
@@ -4,12 +4,12 @@ import camelot
 
 NAME = 'camelot'
 VERSION = camelot.__version__
-DESCRIPTION = 'camelot parses tables from PDFs!'
+DESCRIPTION = 'PDF Table Parsing for Humans'
 with open('README.md') as f:
     LONG_DESCRIPTION = f.read()
 URL = 'https://github.com/socialcopsdev/camelot'
 AUTHOR = 'Vinayak Mehta'
-AUTHOR_EMAIL = 'vinayak@socialcops.com'
+AUTHOR_EMAIL = 'vmehta94@gmail.com'
 LICENSE = 'BSD License'
 
 opencv_min_version = '2.4.8'
@@ -58,18 +58,14 @@ def setup_package():
 
     opencv_status = get_opencv_status()
     opencv_req_str = "camelot requires OpenCV >= {0}.\n".format(opencv_min_version)
-    instructions = ("Installation instructions are available in the README at "
-                    "https://github.com/socialcopsdev/camelot")
 
     if opencv_status['up_to_date'] is False:
         if opencv_status['version']:
-            raise ImportError("Your installation of OpenCV "
-                              "{0} is out-of-date.\n{1}{2}"
-                              .format(opencv_status['version'],
-                                      opencv_req_str, instructions))
+            raise ImportError("Your installation of OpenCV {} is out-of-date.\n{}"
+                              .format(opencv_status['version'], opencv_req_str))
         else:
-            raise ImportError("OpenCV is not installed.\n{0}{1}"
-                              .format(opencv_req_str, instructions))
+            raise ImportError("OpenCV is not installed.\n{}"
+                              .format(opencv_req_str))
 
     setup(**metadata)
 

From 9a6ed555c804681cc343d080f89c8d0f275a116c Mon Sep 17 00:00:00 2001
From: Vinayak Mehta 
Date: Sun, 9 Sep 2018 10:04:54 +0530
Subject: [PATCH 39/39] Fix get_rotation

---
 camelot/utils.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/camelot/utils.py b/camelot/utils.py
index 075c0df..3e87fe5 100644
--- a/camelot/utils.py
+++ b/camelot/utils.py
@@ -215,8 +215,9 @@ def get_rotation(lttextlh, lttextlv, ltchar):
     Returns
     -------
     rotation : string
-        '' if text in table is upright, 'left' if rotated 90 degree
-        anticlockwise and 'right' if rotated 90 degree clockwise.
+        '' if text in table is upright, 'anticlockwise' if
+        rotated 90 degree anticlockwise and 'clockwise' if
+        rotated 90 degree clockwise.
 
     """
     rotation = ''
@@ -225,7 +226,7 @@ def get_rotation(lttextlh, lttextlv, ltchar):
     if hlen < vlen:
         clockwise = sum(t.matrix[1] < 0 and t.matrix[2] > 0 for t in ltchar)
         anticlockwise = sum(t.matrix[1] > 0 and t.matrix[2] < 0 for t in ltchar)
-        rotation = 'clockwise' if clockwise < anticlockwise else 'anticlockwise'
+        rotation = 'anticlockwise' if clockwise < anticlockwise else 'clockwise'
     return rotation