Fix merge conflict

This commit is contained in:
Vinayak Mehta
2018-12-17 15:33:38 +05:30
63 changed files with 2109 additions and 583 deletions
+14
View File
@@ -2,10 +2,21 @@
import logging
from click import HelpFormatter
from .__version__ import __version__
from .io import read_pdf
from .plotting import PlotMethods
def _write_usage(self, prog, args='', prefix='Usage: '):
return self._write_usage('camelot', args, prefix=prefix)
# monkey patch click.HelpFormatter
HelpFormatter._write_usage = HelpFormatter.write_usage
HelpFormatter.write_usage = _write_usage
# set up logging
logger = logging.getLogger('camelot')
@@ -15,3 +26,6 @@ handler = logging.StreamHandler()
handler.setFormatter(formatter)
logger.addHandler(handler)
# instantiate plot method
plot = PlotMethods()
+16
View File
@@ -0,0 +1,16 @@
# -*- coding: utf-8 -*-
from __future__ import absolute_import
__all__ = ('main',)
def main():
from camelot.cli import cli
cli()
if __name__ == "__main__":
main()
+14 -2
View File
@@ -1,11 +1,23 @@
# -*- coding: utf-8 -*-
VERSION = (0, 2, 1)
VERSION = (0, 5, 0)
PRERELEASE = None # alpha, beta or rc
REVISION = None
def generate_version(version, prerelease=None, revision=None):
version_parts = ['.'.join(map(str, version))]
if prerelease is not None:
version_parts.append('-{}'.format(prerelease))
if revision is not None:
version_parts.append('.{}'.format(revision))
return ''.join(version_parts)
__title__ = 'camelot-py'
__description__ = 'PDF Table Extraction for Humans.'
__url__ = 'http://camelot-py.readthedocs.io/'
__version__ = '.'.join(map(str, VERSION))
__version__ = generate_version(VERSION, prerelease=PRERELEASE, revision=REVISION)
__author__ = 'Vinayak Mehta'
__author_email__ = 'vmehta94@gmail.com'
__license__ = 'MIT License'
+43 -20
View File
@@ -3,9 +3,14 @@
import logging
import click
try:
import matplotlib.pyplot as plt
except ImportError:
_HAS_MPL = False
else:
_HAS_MPL = True
from . import __version__
from .io import read_pdf
from . import __version__, read_pdf, plot
logger = logging.getLogger('camelot')
@@ -25,8 +30,10 @@ pass_config = click.make_pass_decorator(Config)
@click.group()
@click.version_option(version=__version__)
@click.option('-q', '--quiet', is_flag=False, help='Suppress logs and warnings.')
@click.option('-p', '--pages', default='1', help='Comma-separated page numbers.'
' Example: 1,3,4 or 1,4-end.')
@click.option('-pw', '--password', help='Password for decryption.')
@click.option('-o', '--output', help='Output file path.')
@click.option('-f', '--format',
type=click.Choice(['csv', 'json', 'excel', 'html']),
@@ -47,7 +54,7 @@ def cli(ctx, *args, **kwargs):
@cli.command('lattice')
@click.option('-T', '--table_area', default=[], multiple=True,
@click.option('-T', '--table_areas', default=[], multiple=True,
help='Table areas to process. Example: x1,y1,x2,y2'
' where x1, y1 -> left-top and x2, y2 -> right-bottom.')
@click.option('-back', '--process_background', is_flag=True,
@@ -78,8 +85,8 @@ def cli(ctx, *args, **kwargs):
@click.option('-I', '--iterations', default=0,
help='Number of times for erosion/dilation will be applied.')
@click.option('-plot', '--plot_type',
type=click.Choice(['text', 'table', 'contour', 'joint', 'line']),
help='Plot geometry found on PDF page, for debugging.')
type=click.Choice(['text', 'grid', 'contour', 'joint', 'line']),
help='Plot elements found on PDF page for visual debugging.')
@click.argument('filepath', type=click.Path(exists=True))
@pass_config
def lattice(c, *args, **kwargs):
@@ -89,31 +96,39 @@ def lattice(c, *args, **kwargs):
output = conf.pop('output')
f = conf.pop('format')
compress = conf.pop('zip')
quiet = conf.pop('quiet')
plot_type = kwargs.pop('plot_type')
filepath = kwargs.pop('filepath')
kwargs.update(conf)
table_area = list(kwargs['table_area'])
kwargs['table_area'] = None if not table_area else table_area
table_areas = list(kwargs['table_areas'])
kwargs['table_areas'] = None if not table_areas else table_areas
copy_text = list(kwargs['copy_text'])
kwargs['copy_text'] = None if not copy_text else copy_text
kwargs['shift_text'] = list(kwargs['shift_text'])
tables = read_pdf(filepath, pages=pages, flavor='lattice', **kwargs)
click.echo('Found {} tables'.format(tables.n))
if plot_type is not None:
for table in tables:
table.plot(plot_type)
if not _HAS_MPL:
raise ImportError('matplotlib is required for plotting.')
else:
if output is None:
raise click.UsageError('Please specify output file path using --output')
if f is None:
raise click.UsageError('Please specify output file format using --format')
tables = read_pdf(filepath, pages=pages, flavor='lattice',
suppress_stdout=quiet, **kwargs)
click.echo('Found {} tables'.format(tables.n))
if plot_type is not None:
for table in tables:
plot(table, kind=plot_type)
plt.show()
else:
tables.export(output, f=f, compress=compress)
@cli.command('stream')
@click.option('-T', '--table_area', default=[], multiple=True,
@click.option('-T', '--table_areas', default=[], multiple=True,
help='Table areas to process. Example: x1,y1,x2,y2'
' where x1, y1 -> left-top and x2, y2 -> right-bottom.')
@click.option('-C', '--columns', default=[], multiple=True,
@@ -123,8 +138,8 @@ def lattice(c, *args, **kwargs):
@click.option('-c', '--col_close_tol', default=0, help='Tolerance parameter'
' used to combine text horizontally, to generate columns.')
@click.option('-plot', '--plot_type',
type=click.Choice(['text', 'table']),
help='Plot geometry found on PDF page for debugging.')
type=click.Choice(['text', 'grid', 'contour', 'textedge']),
help='Plot elements found on PDF page for visual debugging.')
@click.argument('filepath', type=click.Path(exists=True))
@pass_config
def stream(c, *args, **kwargs):
@@ -134,23 +149,31 @@ def stream(c, *args, **kwargs):
output = conf.pop('output')
f = conf.pop('format')
compress = conf.pop('zip')
quiet = conf.pop('quiet')
plot_type = kwargs.pop('plot_type')
filepath = kwargs.pop('filepath')
kwargs.update(conf)
table_area = list(kwargs['table_area'])
kwargs['table_area'] = None if not table_area else table_area
table_areas = list(kwargs['table_areas'])
kwargs['table_areas'] = None if not table_areas else table_areas
columns = list(kwargs['columns'])
kwargs['columns'] = None if not columns else columns
tables = read_pdf(filepath, pages=pages, flavor='stream', **kwargs)
click.echo('Found {} tables'.format(tables.n))
if plot_type is not None:
for table in tables:
table.plot(plot_type)
if not _HAS_MPL:
raise ImportError('matplotlib is required for plotting.')
else:
if output is None:
raise click.UsageError('Please specify output file path using --output')
if f is None:
raise click.UsageError('Please specify output file format using --format')
tables = read_pdf(filepath, pages=pages, flavor='stream',
suppress_stdout=quiet, **kwargs)
click.echo('Found {} tables'.format(tables.n))
if plot_type is not None:
for table in tables:
plot(table, kind=plot_type)
plt.show()
else:
tables.export(output, f=f, compress=compress)
+199 -29
View File
@@ -3,11 +3,208 @@
import os
import zipfile
import tempfile
from itertools import chain
from operator import itemgetter
import numpy as np
import pandas as pd
from .plotting import *
# minimum number of vertical textline intersections for a textedge
# to be considered valid
TEXTEDGE_REQUIRED_ELEMENTS = 4
# y coordinate tolerance for extending textedge
TEXTEDGE_EXTEND_TOLERANCE = 50
# padding added to table area on the left, right and bottom
TABLE_AREA_PADDING = 10
class TextEdge(object):
"""Defines a text edge coordinates relative to a left-bottom
origin. (PDF coordinate space)
Parameters
----------
x : float
x-coordinate of the text edge.
y0 : float
y-coordinate of bottommost point.
y1 : float
y-coordinate of topmost point.
align : string, optional (default: 'left')
{'left', 'right', 'middle'}
Attributes
----------
intersections: int
Number of intersections with horizontal text rows.
is_valid: bool
A text edge is valid if it intersections with at least
TEXTEDGE_REQUIRED_ELEMENTS horizontal text rows.
"""
def __init__(self, x, y0, y1, align='left'):
self.x = x
self.y0 = y0
self.y1 = y1
self.align = align
self.intersections = 0
self.is_valid = False
def __repr__(self):
return '<TextEdge x={} y0={} y1={} align={} valid={}>'.format(
round(self.x, 2), round(self.y0, 2), round(self.y1, 2), self.align, self.is_valid)
def update_coords(self, x, y0):
"""Updates the text edge's x and bottom y coordinates and sets
the is_valid attribute.
"""
if np.isclose(self.y0, y0, atol=TEXTEDGE_EXTEND_TOLERANCE):
self.x = (self.intersections * self.x + x) / float(self.intersections + 1)
self.y0 = y0
self.intersections += 1
# a textedge is valid only if it extends uninterrupted
# over a required number of textlines
if self.intersections > TEXTEDGE_REQUIRED_ELEMENTS:
self.is_valid = True
class TextEdges(object):
"""Defines a dict of left, right and middle text edges found on
the PDF page. The dict has three keys based on the alignments,
and each key's value is a list of camelot.core.TextEdge objects.
"""
def __init__(self):
self._textedges = {'left': [], 'right': [], 'middle': []}
@staticmethod
def get_x_coord(textline, align):
"""Returns the x coordinate of a text row based on the
specified alignment.
"""
x_left = textline.x0
x_right = textline.x1
x_middle = x_left + (x_right - x_left) / 2.0
x_coord = {'left': x_left, 'middle': x_middle, 'right': x_right}
return x_coord[align]
def find(self, x_coord, align):
"""Returns the index of an existing text edge using
the specified x coordinate and alignment.
"""
for i, te in enumerate(self._textedges[align]):
if np.isclose(te.x, x_coord, atol=0.5):
return i
return None
def add(self, textline, align):
"""Adds a new text edge to the current dict.
"""
x = self.get_x_coord(textline, align)
y0 = textline.y0
y1 = textline.y1
te = TextEdge(x, y0, y1, align=align)
self._textedges[align].append(te)
def update(self, textline):
"""Updates an existing text edge in the current dict.
"""
for align in ['left', 'right', 'middle']:
x_coord = self.get_x_coord(textline, align)
idx = self.find(x_coord, align)
if idx is None:
self.add(textline, align)
else:
self._textedges[align][idx].update_coords(x_coord, textline.y0)
def generate(self, textlines):
"""Generates the text edges dict based on horizontal text
rows.
"""
for tl in textlines:
if len(tl.get_text().strip()) > 1: # TODO: hacky
self.update(tl)
def get_relevant(self):
"""Returns the list of relevant text edges (all share the same
alignment) based on which list intersects horizontal text rows
the most.
"""
intersections_sum = {
'left': sum(te.intersections for te in self._textedges['left'] if te.is_valid),
'right': sum(te.intersections for te in self._textedges['right'] if te.is_valid),
'middle': sum(te.intersections for te in self._textedges['middle'] if te.is_valid)
}
# TODO: naive
# get vertical textedges that intersect maximum number of
# times with horizontal textlines
relevant_align = max(intersections_sum.items(), key=itemgetter(1))[0]
return self._textedges[relevant_align]
def get_table_areas(self, textlines, relevant_textedges):
"""Returns a dict of interesting table areas on the PDF page
calculated using relevant text edges.
"""
def pad(area, average_row_height):
x0 = area[0] - TABLE_AREA_PADDING
y0 = area[1] - TABLE_AREA_PADDING
x1 = area[2] + TABLE_AREA_PADDING
# add a constant since table headers can be relatively up
y1 = area[3] + average_row_height * 5
return (x0, y0, x1, y1)
# sort relevant textedges in reading order
relevant_textedges.sort(key=lambda te: (-te.y0, te.x))
table_areas = {}
for te in relevant_textedges:
if te.is_valid:
if not table_areas:
table_areas[(te.x, te.y0, te.x, te.y1)] = None
else:
found = None
for area in table_areas:
# check for overlap
if te.y1 >= area[1] and te.y0 <= area[3]:
found = area
break
if found is None:
table_areas[(te.x, te.y0, te.x, te.y1)] = None
else:
table_areas.pop(found)
updated_area = (
found[0], min(te.y0, found[1]), max(found[2], te.x), max(found[3], te.y1))
table_areas[updated_area] = None
# extend table areas based on textlines that overlap
# vertically. it's possible that these textlines were
# eliminated during textedges generation since numbers and
# chars/words/sentences are often aligned differently.
# drawback: table areas that have paragraphs on their sides
# will include the paragraphs too.
sum_textline_height = 0
for tl in textlines:
sum_textline_height += tl.y1 - tl.y0
found = None
for area in table_areas:
# check for overlap
if tl.y0 >= area[1] and tl.y1 <= area[3]:
found = area
break
if found is not None:
table_areas.pop(found)
updated_area = (
min(tl.x0, found[0]), min(tl.y0, found[1]), max(found[2], tl.x1), max(found[3], tl.y1))
table_areas[updated_area] = None
average_textline_height = sum_textline_height / float(len(textlines))
# add some padding to table areas
table_areas_padded = {}
for area in table_areas:
table_areas_padded[pad(area, average_textline_height)] = None
return table_areas_padded
class Cell(object):
@@ -251,7 +448,7 @@ class Table(object):
self.cells[L][J].top = True
J += 1
elif i == []: # only bottom edge
I = len(self.rows) - 1
L = len(self.rows) - 1
if k:
K = k[0]
while J < K:
@@ -321,33 +518,6 @@ class Table(object):
cell.hspan = True
return self
def plot(self, geometry_type):
"""Plot geometry found on PDF page based on geometry_type
specified, useful for debugging and playing with different
parameters to get the best output.
Parameters
----------
geometry_type : str
The geometry type for which a plot should be generated.
Can be 'text', 'table', 'contour', 'joint', 'line'
"""
if self.flavor == 'stream' and geometry_type in ['contour', 'joint', 'line']:
raise NotImplementedError("{} cannot be plotted with flavor='stream'".format(
geometry_type))
if geometry_type == 'text':
plot_text(self._text)
elif geometry_type == 'table':
plot_table(self)
elif geometry_type == 'contour':
plot_contour(self._image)
elif geometry_type == 'joint':
plot_joint(self._image)
elif geometry_type == 'line':
plot_line(self._segments)
def to_csv(self, path, **kwargs):
"""Writes Table to a comma-separated values (csv) file.
+20 -10
View File
@@ -1,6 +1,7 @@
# -*- coding: utf-8 -*-
import os
import sys
from PyPDF2 import PdfFileReader, PdfFileWriter
@@ -21,14 +22,22 @@ class PDFHandler(object):
Path to PDF file.
pages : str, optional (default: '1')
Comma-separated page numbers.
Example: 1,3,4 or 1,4-end.
Example: '1,3,4' or '1,4-end'.
password : str, optional (default: None)
Password for decryption.
"""
def __init__(self, filename, pages='1'):
def __init__(self, filename, pages='1', password=None):
self.filename = filename
if not self.filename.endswith('.pdf'):
if not filename.lower().endswith('.pdf'):
raise NotImplementedError("File format not supported")
self.pages = self._get_pages(self.filename, pages)
if password is None:
self.password = ''
else:
self.password = password
if sys.version_info[0] < 3:
self.password = self.password.encode('ascii')
def _get_pages(self, filename, pages):
"""Converts pages string to list of ints.
@@ -52,6 +61,8 @@ class PDFHandler(object):
page_numbers.append({'start': 1, 'end': 1})
else:
infile = PdfFileReader(open(filename, 'rb'), strict=False)
if infile.isEncrypted:
infile.decrypt(self.password)
if pages == 'all':
page_numbers.append({'start': 1, 'end': infile.getNumPages()})
else:
@@ -84,7 +95,7 @@ class PDFHandler(object):
with open(filename, 'rb') as fileobj:
infile = PdfFileReader(fileobj, strict=False)
if infile.isEncrypted:
infile.decrypt('')
infile.decrypt(self.password)
fpath = os.path.join(temp, 'page-{0}.pdf'.format(page))
froot, fext = os.path.splitext(fpath)
p = infile.getPage(page - 1)
@@ -103,7 +114,7 @@ class PDFHandler(object):
os.rename(fpath, fpath_new)
infile = PdfFileReader(open(fpath_new, 'rb'), strict=False)
if infile.isEncrypted:
infile.decrypt('')
infile.decrypt(self.password)
outfile = PdfFileWriter()
p = infile.getPage(0)
if rotation == 'anticlockwise':
@@ -114,7 +125,7 @@ class PDFHandler(object):
with open(fpath, 'wb') as f:
outfile.write(f)
def parse(self, flavor='lattice', **kwargs):
def parse(self, flavor='lattice', suppress_stdout=False, **kwargs):
"""Extracts tables by calling parser.get_tables on all single
page PDFs.
@@ -123,6 +134,8 @@ class PDFHandler(object):
flavor : str (default: 'lattice')
The parsing method to use ('lattice' or 'stream').
Lattice is used by default.
suppress_stdout : str (default: False)
Suppress logs and warnings.
kwargs : dict
See camelot.read_pdf kwargs.
@@ -130,9 +143,6 @@ class PDFHandler(object):
-------
tables : camelot.core.TableList
List of tables found in PDF.
geometry : camelot.core.GeometryList
List of geometry objects (contours, lines, joints) found
in PDF.
"""
tables = []
@@ -143,6 +153,6 @@ class PDFHandler(object):
for p in self.pages]
parser = Lattice(**kwargs) if flavor == 'lattice' else Stream(**kwargs)
for p in pages:
t = parser.extract_tables(p)
t = parser.extract_tables(p, suppress_stdout=suppress_stdout)
tables.extend(t)
return TableList(tables)
+18 -8
View File
@@ -1,10 +1,12 @@
# -*- coding: utf-8 -*-
import warnings
from .handlers import PDFHandler
from .utils import validate_input, remove_extra
def read_pdf(filepath, pages='1', flavor='lattice', **kwargs):
def read_pdf(filepath, pages='1', password=None, flavor='lattice',
suppress_stdout=False, **kwargs):
"""Read PDF and return extracted tables.
Note: kwargs annotated with ^ can only be used with flavor='stream'
@@ -16,11 +18,15 @@ def read_pdf(filepath, pages='1', flavor='lattice', **kwargs):
Path to PDF file.
pages : str, optional (default: '1')
Comma-separated page numbers.
Example: 1,3,4 or 1,4-end.
Example: '1,3,4' or '1,4-end'.
password : str, optional (default: None)
Password for decryption.
flavor : str (default: 'lattice')
The parsing method to use ('lattice' or 'stream').
Lattice is used by default.
table_area : list, optional (default: None)
suppress_stdout : bool, optional (default: True)
Print all logs and warnings.
table_areas : list, optional (default: None)
List of table area strings of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in PDF coordinate space.
@@ -85,8 +91,12 @@ def read_pdf(filepath, pages='1', flavor='lattice', **kwargs):
raise NotImplementedError("Unknown flavor specified."
" Use either 'lattice' or 'stream'")
validate_input(kwargs, flavor=flavor)
p = PDFHandler(filepath, pages)
kwargs = remove_extra(kwargs, flavor=flavor)
tables = p.parse(flavor=flavor, **kwargs)
return tables
with warnings.catch_warnings():
if suppress_stdout:
warnings.simplefilter("ignore")
validate_input(kwargs, flavor=flavor)
p = PDFHandler(filepath, pages=pages, password=password)
kwargs = remove_extra(kwargs, flavor=flavor)
tables = p.parse(flavor=flavor, suppress_stdout=suppress_stdout, **kwargs)
return tables
+17 -11
View File
@@ -31,7 +31,7 @@ class Lattice(BaseParser):
Parameters
----------
table_area : list, optional (default: None)
table_areas : list, optional (default: None)
List of table area strings of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in PDF coordinate space.
@@ -79,12 +79,12 @@ class Lattice(BaseParser):
For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
"""
def __init__(self, table_area=None, process_background=False,
def __init__(self, table_areas=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), **kwargs):
self.table_area = table_area
self.table_areas = table_areas
self.process_background = process_background
self.line_size_scaling = line_size_scaling
self.copy_text = copy_text
@@ -210,9 +210,9 @@ class Lattice(BaseParser):
self.threshold, direction='horizontal',
line_size_scaling=self.line_size_scaling, iterations=self.iterations)
if self.table_area is not None:
if self.table_areas is not None:
areas = []
for area in self.table_area:
for area in self.table_areas:
x1, y1, x2, y2 = area.split(",")
x1 = float(x1)
y1 = float(y1)
@@ -237,10 +237,11 @@ class Lattice(BaseParser):
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))
t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
self.t_bbox = t_bbox
cols, rows = zip(*self.table_bbox[tk])
cols, rows = list(cols), list(rows)
@@ -274,7 +275,9 @@ class Lattice(BaseParser):
table = table.set_span()
pos_errors = []
for direction in self.t_bbox:
# TODO: have a single list in place of two directional ones?
# sorted on x-coordinate based on reading order i.e. LTR or RTL
for direction in ['vertical', 'horizontal']:
for t in self.t_bbox[direction]:
indices, error = get_table_index(
table, t, direction, split_text=self.split_text,
@@ -307,12 +310,14 @@ class Lattice(BaseParser):
table._text = _text
table._image = (self.image, self.table_bbox_unscaled)
table._segments = (self.vertical_segments, self.horizontal_segments)
table._textedges = None
return table
def extract_tables(self, filename):
def extract_tables(self, filename, suppress_stdout=False):
self._generate_layout(filename)
logger.info('Processing {}'.format(os.path.basename(self.rootname)))
if not suppress_stdout:
logger.info('Processing {}'.format(os.path.basename(self.rootname)))
if not self.horizontal_text:
warnings.warn("No tables found on {}".format(
@@ -328,6 +333,7 @@ class Lattice(BaseParser):
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)
table._bbox = tk
_tables.append(table)
return _tables
+65 -19
View File
@@ -9,7 +9,7 @@ import numpy as np
import pandas as pd
from .base import BaseParser
from ..core import Table
from ..core import TextEdges, Table
from ..utils import (text_in_bbox, get_table_index, compute_accuracy,
compute_whitespace)
@@ -26,7 +26,7 @@ class Stream(BaseParser):
Parameters
----------
table_area : list, optional (default: None)
table_areas : list, optional (default: None)
List of table area strings of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in PDF coordinate space.
@@ -50,10 +50,10 @@ class Stream(BaseParser):
For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
"""
def __init__(self, table_area=None, columns=None, split_text=False,
def __init__(self, table_areas=None, columns=None, split_text=False,
flag_size=False, row_close_tol=2, col_close_tol=0,
margins=(1.0, 0.5, 0.1), **kwargs):
self.table_area = table_area
self.table_areas = table_areas
self.columns = columns
self._validate_columns()
self.split_text = split_text
@@ -116,7 +116,7 @@ class Stream(BaseParser):
row_y = t.y0
temp.append(t)
rows.append(sorted(temp, key=lambda t: t.x0))
__ = rows.pop(0) # hacky
__ = rows.pop(0) # TODO: hacky
return rows
@staticmethod
@@ -241,15 +241,42 @@ class Stream(BaseParser):
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"
if self.table_areas is not None and self.columns is not None:
if len(self.table_areas) != len(self.columns):
raise ValueError("Length of table_areas and columns"
" should be equal")
def _nurminen_table_detection(self, textlines):
"""A general implementation of the table detection algorithm
described by Anssi Nurminen's master's thesis.
Link: https://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3
Assumes that tables are situated relatively far apart
vertically.
"""
# TODO: add support for arabic text #141
# sort textlines in reading order
textlines.sort(key=lambda x: (-x.y0, x.x0))
textedges = TextEdges()
# generate left, middle and right textedges
textedges.generate(textlines)
# select relevant edges
relevant_textedges = textedges.get_relevant()
self.textedges.extend(relevant_textedges)
# guess table areas using textlines and relevant edges
table_bbox = textedges.get_table_areas(textlines, relevant_textedges)
# treat whole page as table area if no table areas found
if not len(table_bbox):
table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None}
return table_bbox
def _generate_table_bbox(self):
if self.table_area is not None:
self.textedges = []
if self.table_areas is not None:
table_bbox = {}
for area in self.table_area:
for area in self.table_areas:
x1, y1, x2, y2 = area.split(",")
x1 = float(x1)
y1 = float(y1)
@@ -257,7 +284,8 @@ class Stream(BaseParser):
y2 = float(y2)
table_bbox[(x1, y2, x2, y1)] = None
else:
table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None}
# find tables based on nurminen's detection algorithm
table_bbox = self._nurminen_table_detection(self.horizontal_text)
self.table_bbox = table_bbox
def _generate_columns_and_rows(self, table_idx, tk):
@@ -265,10 +293,11 @@ class Stream(BaseParser):
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))
t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
self.t_bbox = t_bbox
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'], row_close_tol=self.row_close_tol)
@@ -286,10 +315,21 @@ class Stream(BaseParser):
cols.append(text_x_max)
cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)]
else:
# calculate mode of the list of number of elements in
# each row to guess the number of columns
ncols = max(set(elements), key=elements.count)
if ncols == 1:
warnings.warn("No tables found on {}".format(
os.path.basename(self.rootname)))
# if mode is 1, the page usually contains not tables
# but there can be cases where the list can be skewed,
# try to remove all 1s from list in this case and
# see if the list contains elements, if yes, then use
# the mode after removing 1s
elements = list(filter(lambda x: x != 1, elements))
if len(elements):
ncols = max(set(elements), key=elements.count)
else:
warnings.warn("No tables found in table area {}".format(
table_idx + 1))
cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r]
cols = self._merge_columns(sorted(cols), col_close_tol=self.col_close_tol)
inner_text = []
@@ -311,8 +351,11 @@ class Stream(BaseParser):
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:
# TODO: have a single list in place of two directional ones?
# sorted on x-coordinate based on reading order i.e. LTR or RTL
for direction in ['vertical', 'horizontal']:
for t in self.t_bbox[direction]:
indices, error = get_table_index(
table, t, direction, split_text=self.split_text,
@@ -341,12 +384,14 @@ class Stream(BaseParser):
table._text = _text
table._image = None
table._segments = None
table._textedges = self.textedges
return table
def extract_tables(self, filename):
def extract_tables(self, filename, suppress_stdout=False):
self._generate_layout(filename)
logger.info('Processing {}'.format(os.path.basename(self.rootname)))
if not suppress_stdout:
logger.info('Processing {}'.format(os.path.basename(self.rootname)))
if not self.horizontal_text:
warnings.warn("No tables found on {}".format(
@@ -361,6 +406,7 @@ class Stream(BaseParser):
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)
table._bbox = tk
_tables.append(table)
return _tables
+223 -87
View File
@@ -1,108 +1,244 @@
import cv2
import matplotlib.pyplot as plt
import matplotlib.patches as patches
# -*- coding: utf-8 -*-
try:
import matplotlib.pyplot as plt
import matplotlib.patches as patches
except ImportError:
_HAS_MPL = False
else:
_HAS_MPL = True
def plot_text(text):
"""Generates a plot for all text present on the PDF page.
class PlotMethods(object):
def __call__(self, table, kind='text', filename=None):
"""Plot elements found on PDF page based on kind
specified, useful for debugging and playing with different
parameters to get the best output.
Parameters
----------
text : list
Parameters
----------
table: camelot.core.Table
A Camelot Table.
kind : str, optional (default: 'text')
{'text', 'grid', 'contour', 'joint', 'line'}
The element type for which a plot should be generated.
filepath: str, optional (default: None)
Absolute path for saving the generated plot.
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
xs, ys = [], []
for t in text:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.add_patch(
patches.Rectangle(
(t[0], t[1]),
t[2] - t[0],
t[3] - t[1]
Returns
-------
fig : matplotlib.fig.Figure
"""
if not _HAS_MPL:
raise ImportError('matplotlib is required for plotting.')
if table.flavor == 'lattice' and kind in ['textedge']:
raise NotImplementedError("Lattice flavor does not support kind='{}'".format(
kind))
elif table.flavor == 'stream' and kind in ['joint', 'line']:
raise NotImplementedError("Stream flavor does not support kind='{}'".format(
kind))
plot_method = getattr(self, kind)
return plot_method(table)
def text(self, table):
"""Generates a plot for all text elements present
on the PDF page.
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
xs, ys = [], []
for t in table._text:
xs.extend([t[0], t[2]])
ys.extend([t[1], 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()
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
return fig
def grid(self, table):
"""Generates a plot for the detected table grids
on the PDF page.
def plot_table(table):
"""Generates a plot for the table.
Parameters
----------
table : camelot.core.Table
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
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()
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
for row in table.cells:
for cell in row:
if cell.left:
ax.plot([cell.lb[0], cell.lt[0]],
[cell.lb[1], cell.lt[1]])
if cell.right:
ax.plot([cell.rb[0], cell.rt[0]],
[cell.rb[1], cell.rt[1]])
if cell.top:
ax.plot([cell.lt[0], cell.rt[0]],
[cell.lt[1], cell.rt[1]])
if cell.bottom:
ax.plot([cell.lb[0], cell.rb[0]],
[cell.lb[1], cell.rb[1]])
return fig
def contour(self, table):
"""Generates a plot for all table boundaries present
on the PDF page.
def plot_contour(image):
"""Generates a plot for all table boundaries present on the
PDF page.
Parameters
----------
table : camelot.core.Table
Parameters
----------
image : tuple
Returns
-------
fig : matplotlib.fig.Figure
"""
img, table_bbox = image
for t in table_bbox.keys():
cv2.rectangle(img, (t[0], t[1]),
(t[2], t[3]), (255, 0, 0), 20)
plt.imshow(img)
plt.show()
"""
try:
img, table_bbox = table._image
_FOR_LATTICE = True
except TypeError:
img, table_bbox = (None, {table._bbox: None})
_FOR_LATTICE = False
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
xs, ys = [], []
if not _FOR_LATTICE:
for t in table._text:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.add_patch(
patches.Rectangle(
(t[0], t[1]),
t[2] - t[0],
t[3] - t[1],
color='blue'
)
)
def plot_joint(image):
"""Generates a plot for all line intersections present on the
PDF page.
for t in table_bbox.keys():
ax.add_patch(
patches.Rectangle(
(t[0], t[1]),
t[2] - t[0],
t[3] - t[1],
fill=False,
color='red'
)
)
if not _FOR_LATTICE:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
Parameters
----------
image : tuple
if _FOR_LATTICE:
ax.imshow(img)
return fig
"""
img, table_bbox = image
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])
plt.plot(x_coord, y_coord, 'ro')
plt.imshow(img)
plt.show()
def textedge(self, table):
"""Generates a plot for relevant textedges.
Parameters
----------
table : camelot.core.Table
def plot_line(segments):
"""Generates a plot for all line segments present on the PDF page.
Returns
-------
fig : matplotlib.fig.Figure
Parameters
----------
segments : tuple
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
xs, ys = [], []
for t in table._text:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.add_patch(
patches.Rectangle(
(t[0], t[1]),
t[2] - t[0],
t[3] - t[1],
color='blue'
)
)
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
"""
vertical, horizontal = segments
for v in vertical:
plt.plot([v[0], v[2]], [v[1], v[3]])
for h in horizontal:
plt.plot([h[0], h[2]], [h[1], h[3]])
plt.show()
for te in table._textedges:
ax.plot([te.x, te.x],
[te.y0, te.y1])
return fig
def joint(self, table):
"""Generates a plot for all line intersections present
on the PDF page.
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
img, table_bbox = table._image
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
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])
ax.plot(x_coord, y_coord, 'ro')
ax.imshow(img)
return fig
def line(self, table):
"""Generates a plot for all line segments present
on the PDF page.
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
vertical, horizontal = table._segments
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]])
return fig
+4 -4
View File
@@ -344,9 +344,9 @@ def flag_font_size(textline, direction):
fchars = [t[0] for t in chars]
if ''.join(fchars).strip():
flist.append(''.join(fchars))
fstring = ''.join(flist).strip('\n')
fstring = ''.join(flist)
else:
fstring = ''.join([t.get_text() for t in textline]).strip('\n')
fstring = ''.join([t.get_text() for t in textline])
return fstring
@@ -419,7 +419,7 @@ def split_textline(table, textline, direction, flag_size=False):
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')))
grouped_chars.append((key[0], key[1], ''.join(gchars)))
return grouped_chars
@@ -500,7 +500,7 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
if flag_size:
return [(r_idx, c_idx, flag_font_size(t._objs, direction))], error
else:
return [(r_idx, c_idx, t.get_text().strip('\n'))], error
return [(r_idx, c_idx, t.get_text())], error
def compute_accuracy(error_weights):