Move tests into one file
Vinayak Mehta
parent
e0b55f0693
commit
c4d3cac4fb
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@ -1,10 +1,9 @@
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# coding: utf8
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import os
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from nose.tools import assert_equal
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from camelot.pdf import Pdf
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from camelot.stream import Stream
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from camelot.lattice import Lattice
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testdir = os.path.dirname(os.path.abspath(__file__))
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@ -217,4 +216,119 @@ def test_stream_table_rotation():
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pdfname = os.path.join(testdir, "right_rotated_table_2.pdf")
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manager = Pdf(Stream(flag_size=False), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables["page-1"]["table-1"]["data"], data)
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assert_equal(tables["page-1"]["table-1"]["data"], data)
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def test_lattice_basic():
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data = [
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["Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""],
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["","","","Improved Speed","Decreased Accel","Eliminate Stops","Decreased Idle"],
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["2012_2","3.30","1.3","5.9%","9.5%","29.2%","17.4%"],
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["2145_1","0.68","11.2","2.4%","0.1%","9.5%","2.7%"],
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["4234_1","0.59","58.7","8.5%","1.3%","8.5%","3.3%"],
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["2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"],
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["4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"]
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]
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pdfname = os.path.join(testdir,
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"tabula_test_pdfs/icdar2013-dataset/competition-dataset-us/us-030.pdf")
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manager = Pdf(Lattice(), pdfname, pagenos=[{'start': 2, 'end': 2}],
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clean=True)
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tables = manager.extract()
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assert_equal(tables['page-2']['table-1']['data'], data)
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def test_lattice_fill():
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data = [
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["Plan Type","County","Plan Name","Totals"],
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["GMC","Sacramento","Anthem Blue Cross","164,380"],
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["GMC","Sacramento","Health Net","126,547"],
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["GMC","Sacramento","Kaiser Foundation","74,620"],
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["GMC","Sacramento","Molina Healthcare","59,989"],
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["GMC","San Diego","Care 1st Health Plan","71,831"],
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["GMC","San Diego","Community Health Group","264,639"],
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["GMC","San Diego","Health Net","72,404"],
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["GMC","San Diego","Kaiser","50,415"],
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["GMC","San Diego","Molina Healthcare","206,430"],
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["GMC","Total GMC Enrollment","","1,091,255"],
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["COHS","Marin","Partnership Health Plan of CA","36,006"],
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["COHS","Mendocino","Partnership Health Plan of CA","37,243"],
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["COHS","Napa","Partnership Health Plan of CA","28,398"],
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["COHS","Solano","Partnership Health Plan of CA","113,220"],
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["COHS","Sonoma","Partnership Health Plan of CA","112,271"],
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["COHS","Yolo","Partnership Health Plan of CA","52,674"],
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["COHS","Del Norte","Partnership Health Plan of CA","11,242"],
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["COHS","Humboldt","Partnership Health Plan of CA","49,911"],
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["COHS","Lake","Partnership Health Plan of CA","29,149"],
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["COHS","Lassen","Partnership Health Plan of CA","7,360"],
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["COHS","Modoc","Partnership Health Plan of CA","2,940"],
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["COHS","Shasta","Partnership Health Plan of CA","61,763"],
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["COHS","Siskiyou","Partnership Health Plan of CA","16,715"],
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["COHS","Trinity","Partnership Health Plan of CA","4,542"],
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["COHS","Merced","Central California Alliance for Health","123,907"],
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["COHS","Monterey","Central California Alliance for Health","147,397"],
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["COHS","Santa Cruz","Central California Alliance for Health","69,458"],
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["COHS","Santa Barbara","CenCal","117,609"],
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["COHS","San Luis Obispo","CenCal","55,761"],
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["COHS","Orange","CalOptima","783,079"],
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["COHS","San Mateo","Health Plan of San Mateo","113,202"],
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["COHS","Ventura","Gold Coast Health Plan","202,217"],
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["COHS","Total COHS Enrollment","","2,176,064"],
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["Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"],
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["PCCM","Los Angeles","AIDS Healthcare Foundation","828"],
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["PCCM","San Francisco","Family Mosaic","25"],
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["PCCM","Total PHP Enrollment","","853"],
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["All Models Total Enrollments","","","10,132,875"],
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["Source: Data Warehouse 12/14/15","","",""]
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]
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pdfname = os.path.join(testdir, 'row_span_1.pdf')
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manager = Pdf(Lattice(fill='v', scale=40), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-1']['data'], data)
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def test_lattice_invert():
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data = [
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["State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"],
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["Delhi","1.12.2009","8","17","1.29","3,665","2,409","1,000"],
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["Rajasthan","2.12.2009 to 19.12.2009","","","","","",""],
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["Gujarat","20.12.2009 to 3.1.2010","6","13","6.03","3,810","2,317","1,453"],
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["Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"],
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["Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"],
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["Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"],
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["Total","","47","92","11.81","22,455","19,584","10,644"]
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]
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pdfname = os.path.join(testdir, 'lines_in_background_1.pdf')
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manager = Pdf(Lattice(invert=True), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-2']['data'], data)
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def test_lattice_table_rotation():
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data = [
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["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)",""],
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["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"],
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["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"],
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["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"],
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["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"],
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["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"],
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["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"],
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["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"],
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["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"],
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["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"],
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["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"],
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["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"],
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["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"]
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]
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pdfname = os.path.join(testdir, 'left_rotated_table_1.pdf')
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manager = Pdf(Lattice(), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-1']['data'], data)
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pdfname = os.path.join(testdir, 'right_rotated_table_1.pdf')
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manager = Pdf(Lattice(), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-1']['data'], data)
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@ -1,125 +0,0 @@
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# coding: utf8
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import os
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from nose.tools import assert_equal
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from camelot.pdf import Pdf
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from camelot.lattice import Lattice
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testdir = os.path.dirname(os.path.abspath(__file__))
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def test_lattice_basic():
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data = [
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["Cycle Name","KI (1/km)","Distance (mi)","Percent Fuel Savings","","",""],
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["","","","Improved Speed","Decreased Accel","Eliminate Stops","Decreased Idle"],
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["2012_2","3.30","1.3","5.9%","9.5%","29.2%","17.4%"],
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["2145_1","0.68","11.2","2.4%","0.1%","9.5%","2.7%"],
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["4234_1","0.59","58.7","8.5%","1.3%","8.5%","3.3%"],
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["2032_2","0.17","57.8","21.7%","0.3%","2.7%","1.2%"],
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["4171_1","0.07","173.9","58.1%","1.6%","2.1%","0.5%"]
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]
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pdfname = os.path.join(testdir,
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"tabula_test_pdfs/icdar2013-dataset/competition-dataset-us/us-030.pdf")
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manager = Pdf(Lattice(), pdfname, pagenos=[{'start': 2, 'end': 2}],
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clean=True)
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tables = manager.extract()
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assert_equal(tables['page-2']['table-1']['data'], data)
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def test_lattice_fill():
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data = [
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["Plan Type","County","Plan Name","Totals"],
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["GMC","Sacramento","Anthem Blue Cross","164,380"],
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["GMC","Sacramento","Health Net","126,547"],
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["GMC","Sacramento","Kaiser Foundation","74,620"],
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["GMC","Sacramento","Molina Healthcare","59,989"],
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["GMC","San Diego","Care 1st Health Plan","71,831"],
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["GMC","San Diego","Community Health Group","264,639"],
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["GMC","San Diego","Health Net","72,404"],
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["GMC","San Diego","Kaiser","50,415"],
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["GMC","San Diego","Molina Healthcare","206,430"],
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["GMC","Total GMC Enrollment","","1,091,255"],
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["COHS","Marin","Partnership Health Plan of CA","36,006"],
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["COHS","Mendocino","Partnership Health Plan of CA","37,243"],
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["COHS","Napa","Partnership Health Plan of CA","28,398"],
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["COHS","Solano","Partnership Health Plan of CA","113,220"],
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["COHS","Sonoma","Partnership Health Plan of CA","112,271"],
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["COHS","Yolo","Partnership Health Plan of CA","52,674"],
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["COHS","Del Norte","Partnership Health Plan of CA","11,242"],
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["COHS","Humboldt","Partnership Health Plan of CA","49,911"],
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["COHS","Lake","Partnership Health Plan of CA","29,149"],
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["COHS","Lassen","Partnership Health Plan of CA","7,360"],
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["COHS","Modoc","Partnership Health Plan of CA","2,940"],
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["COHS","Shasta","Partnership Health Plan of CA","61,763"],
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["COHS","Siskiyou","Partnership Health Plan of CA","16,715"],
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["COHS","Trinity","Partnership Health Plan of CA","4,542"],
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["COHS","Merced","Central California Alliance for Health","123,907"],
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["COHS","Monterey","Central California Alliance for Health","147,397"],
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["COHS","Santa Cruz","Central California Alliance for Health","69,458"],
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["COHS","Santa Barbara","CenCal","117,609"],
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["COHS","San Luis Obispo","CenCal","55,761"],
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["COHS","Orange","CalOptima","783,079"],
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["COHS","San Mateo","Health Plan of San Mateo","113,202"],
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["COHS","Ventura","Gold Coast Health Plan","202,217"],
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["COHS","Total COHS Enrollment","","2,176,064"],
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["Subtotal for Two-Plan, Regional Model, GMC and COHS","","","10,132,022"],
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["PCCM","Los Angeles","AIDS Healthcare Foundation","828"],
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["PCCM","San Francisco","Family Mosaic","25"],
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["PCCM","Total PHP Enrollment","","853"],
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["All Models Total Enrollments","","","10,132,875"],
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["Source: Data Warehouse 12/14/15","","",""]
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]
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pdfname = os.path.join(testdir, 'row_span_1.pdf')
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manager = Pdf(Lattice(fill='v', scale=40), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-1']['data'], data)
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def test_lattice_invert():
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data = [
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["State","Date","Halt stations","Halt days","Persons directly reached(in lakh)","Persons trained","Persons counseled","Persons testedfor HIV"],
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["Delhi","1.12.2009","8","17","1.29","3,665","2,409","1,000"],
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["Rajasthan","2.12.2009 to 19.12.2009","","","","","",""],
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["Gujarat","20.12.2009 to 3.1.2010","6","13","6.03","3,810","2,317","1,453"],
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["Maharashtra","4.01.2010 to 1.2.2010","13","26","1.27","5,680","9,027","4,153"],
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["Karnataka","2.2.2010 to 22.2.2010","11","19","1.80","5,741","3,658","3,183"],
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["Kerala","23.2.2010 to 11.3.2010","9","17","1.42","3,559","2,173","855"],
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["Total","","47","92","11.81","22,455","19,584","10,644"]
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]
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pdfname = os.path.join(testdir, 'lines_in_background_1.pdf')
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manager = Pdf(Lattice(invert=True), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-2']['data'], data)
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def test_lattice_table_rotation():
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data = [
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["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)",""],
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["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"],
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["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"],
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["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"],
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["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"],
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["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"],
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["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"],
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["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"],
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["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"],
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["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"],
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["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"],
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["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"],
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["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"]
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]
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pdfname = os.path.join(testdir, 'left_rotated_table_1.pdf')
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manager = Pdf(Lattice(), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-1']['data'], data)
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pdfname = os.path.join(testdir, 'right_rotated_table_1.pdf')
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manager = Pdf(Lattice(), pdfname, clean=True)
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tables = manager.extract()
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assert_equal(tables['page-1']['table-1']['data'], data)
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