camelot-py/tests/test_lattice.py

97 lines
4.6 KiB
Python

# 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")
extractor = Lattice(Pdf(pdfname,
pagenos=[{'start': 2, 'end': 2}], clean=True))
tables = extractor.get_tables()
assert_equal(tables['pg-2'][0], 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')
extractor = Lattice(Pdf(pdfname, clean=True), fill='v', scale=40)
tables = extractor.get_tables()
assert_equal(tables['pg-1'][0], 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')
extractor = Lattice(Pdf(pdfname, clean=True), invert=True)
tables = extractor.get_tables()
assert_equal(tables['pg-1'][1], data)