From: Nathan TeBlunthuis Date: Mon, 30 Mar 2020 04:49:57 +0000 (-0700) Subject: reorganize file structure X-Git-Url: https://code.communitydata.science/covid19.git/commitdiff_plain/09d171608f699eafe6528325938a892937a65302?ds=sidebyside;hp=-c reorganize file structure - move 'input' files to resources - outputs not meant for downstream go in output/intermediate - csv outputs for downstream go in output/csv --- 09d171608f699eafe6528325938a892937a65302 diff --git a/transliterations/data/output/daily_google_trends.csv b/transliterations/data/output/daily_google_trends.csv deleted file mode 100644 index 82e026b..0000000 --- a/transliterations/data/output/daily_google_trends.csv +++ /dev/null @@ -1,36 +0,0 @@ -date,term,top -2020-03-27,COVID-19,0 -2020-03-27,Boris Johnson,1 -2020-03-27,Thomas Massie,2 -2020-03-27,Ozark,3 -2020-03-27,Drew Brees,4 -2020-03-27,Bill Gates,5 -2020-03-27,Kourtney Kardashian,6 -2020-03-27,Doris Burke,7 -2020-03-27,Pope Francis,8 -2020-03-27,Krispy Kreme,9 -2020-03-27,Roman Reigns,10 -2020-03-27,A Million Little Things,11 -2020-03-27,Pearl Jam Gigaton,12 -2020-03-27,Gretchen Whitmer,13 -2020-03-27,Bill Ackman,14 -2020-03-27,Till Lindemann,15 -2020-03-27,Trish Regan,16 -2020-03-27,Steven Universe Future,17 -2020-03-27,Urbi et Orbi,18 -2020-03-27,Nc stay-at-home order,19 -2020-03-28,Dog,0 -2020-03-28,Tom Coburn,1 -2020-03-28,Cat,2 -2020-03-28,Weather radar,3 -2020-03-28,Horse,4 -2020-03-28,Elephant,5 -2020-03-28,Bear,6 -2020-03-28,Penguin,7 -2020-03-28,Joseph Lowery,8 -2020-03-28,North Carolina,9 -2020-03-28,Wolf,10 -2020-03-28,Predator: Hunting Grounds,11 -2020-03-28,Duck,12 -2020-03-28,Vivarium,13 -2020-03-28,Instacart strike,14 diff --git a/transliterations/data/output/wikidata_search_results.csv b/transliterations/data/output/wikidata_search_results.csv deleted file mode 100644 index 62f1565..0000000 --- a/transliterations/data/output/wikidata_search_results.csv +++ /dev/null @@ -1,2528 +0,0 @@ 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-коронавирус,Q86121504,85385233,27,2020-03-28T20:57:57Z -коронавирус,Q87651995,86891887,28,2020-03-28T20:57:57Z -коронавирус,Q87902950,87134177,29,2020-03-28T20:57:57Z -коронавирус,Q87346429,86580423,30,2020-03-28T20:57:57Z -коронавирус,Q86919406,86162326,31,2020-03-28T20:57:57Z -коронавирус,Q87748614,86985843,32,2020-03-28T20:57:57Z -sars-cov-2 or covid-19,Q82069695,81427064,0,2020-03-28T20:57:58Z -sars-cov-2 or covid-19,Q81068910,80438732,1,2020-03-28T20:57:58Z -sars-cov-2 or covid-19,Q88292589,87531485,2,2020-03-28T20:57:58Z -sars-cov-2 or covid-19,Q86717788,85963262,3,2020-03-28T20:57:58Z -on the origin and continuing evolution of sars-cov-2,Q87072039,86311079,0,2020-03-28T20:57:58Z -the proximal origin of sars-cov-2,Q87830056,87063085,0,2020-03-28T20:57:59Z -coronavirus,Q82069695,81427064,0,2020-03-28T20:57:59Z -coronavirus,Q57751738,57665961,1,2020-03-28T20:57:59Z -coronavirus,Q81068910,80438732,2,2020-03-28T20:57:59Z -coronavirus,Q85438966,84727446,3,2020-03-28T20:57:59Z 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-coronavirus,Q83873593,83181978,22,2020-03-28T20:57:59Z -coronavirus,Q88558997,87791428,23,2020-03-28T20:57:59Z -coronavirus,Q84104992,83408431,24,2020-03-28T20:57:59Z -coronavirus,Q87722485,86960649,25,2020-03-28T20:57:59Z -coronavirus,Q83889294,83197238,26,2020-03-28T20:57:59Z -coronavirus,Q86628344,85875295,27,2020-03-28T20:57:59Z -coronavirus,Q83761248,83072384,28,2020-03-28T20:57:59Z -coronavirus,Q83189805,82525152,29,2020-03-28T20:57:59Z -coronavirus,Q87719499,86957644,30,2020-03-28T20:57:59Z -coronavirus,Q24558699,26524771,31,2020-03-28T20:57:59Z -coronavirus,Q86458103,85707475,32,2020-03-28T20:57:59Z -coronavirus,Q83864933,83173486,33,2020-03-28T20:57:59Z -coronavirus,Q34193942,35634067,34,2020-03-28T20:57:59Z -coronavirus,Q5032409,4809085,35,2020-03-28T20:57:59Z -coronavirus,Q16983360,18587438,36,2020-03-28T20:57:59Z -coronavirus,Q86886544,86130461,37,2020-03-28T20:57:59Z -coronavirus,Q88161067,87405506,38,2020-03-28T20:57:59Z 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-coronavirus,Q88177016,87421137,56,2020-03-28T20:57:59Z -coronavirus,Q88509703,87743157,57,2020-03-28T20:57:59Z -coronavirus,Q84167106,83470327,58,2020-03-28T20:57:59Z -coronavirus,Q29615906,31261618,59,2020-03-28T20:57:59Z -coronavirus,Q88176276,87420400,60,2020-03-28T20:57:59Z -coronavirus,Q88175141,87419281,61,2020-03-28T20:57:59Z -coronavirus,Q85872065,85142665,62,2020-03-28T20:57:59Z -coronavirus,Q2132904,2058939,63,2020-03-28T20:57:59Z -coronavirus,Q88175947,87420079,64,2020-03-28T20:57:59Z -coronavirus,Q4950554,4731258,65,2020-03-28T20:57:59Z -coronavirus,Q34967815,36396055,66,2020-03-28T20:57:59Z -coronavirus,Q18907882,20464878,67,2020-03-28T20:57:59Z -coronavirus,Q22103916,24134729,68,2020-03-28T20:57:59Z -coronavirus,Q70920585,70583133,69,2020-03-28T20:57:59Z -coronavirus,Q87833915,87066869,70,2020-03-28T20:57:59Z -coronavirus,Q86756826,86002048,71,2020-03-28T20:57:59Z -coronavirus,Q84318312,83619880,72,2020-03-28T20:57:59Z 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-coronavirus,Q88176251,87420374,90,2020-03-28T20:57:59Z -coronavirus,Q88097247,87342263,91,2020-03-28T20:57:59Z -coronavirus,Q87715843,86954087,92,2020-03-28T20:57:59Z -coronavirus,Q84581246,83879685,93,2020-03-28T20:57:59Z -coronavirus,Q88366251,87603169,94,2020-03-28T20:57:59Z -coronavirus,Q28188496,29886347,95,2020-03-28T20:57:59Z -coronavirus,Q18965334,20522231,96,2020-03-28T20:57:59Z -coronavirus,Q88660202,87891143,97,2020-03-28T20:57:59Z -coronavirus,Q88660232,87891173,98,2020-03-28T20:57:59Z -coronavirus,Q7834605,7768222,99,2020-03-28T20:57:59Z -coronavirus,Q88366405,87603322,100,2020-03-28T20:57:59Z -coronavirus,Q88660197,87891138,101,2020-03-28T20:57:59Z -coronavirus,Q85939995,85206502,102,2020-03-28T20:57:59Z -coronavirus,Q88192895,87436692,103,2020-03-28T20:57:59Z -coronavirus,Q24808948,26771873,104,2020-03-28T20:57:59Z -coronavirus,Q88366271,87603189,105,2020-03-28T20:57:59Z -coronavirus,Q87070975,86310051,106,2020-03-28T20:57:59Z 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pandemic,Q87577656,86819583,4,2020-03-28T20:59:08Z -who pandemic,Q57107527,57024683,5,2020-03-28T20:59:08Z -who pandemic,Q57114045,57031195,6,2020-03-28T20:59:08Z -who pandemic,Q57112400,57029553,7,2020-03-28T20:59:08Z -who pandemic,Q57105317,57022474,8,2020-03-28T20:59:08Z -who pandemic,Q57119520,57036670,9,2020-03-28T20:59:08Z -who pandemic,Q57107520,57024676,10,2020-03-28T20:59:08Z -who pandemic,Q57114341,57031491,11,2020-03-28T20:59:08Z -who pandemic,Q57118178,57035326,12,2020-03-28T20:59:08Z -who pandemic,Q57116410,57033561,13,2020-03-28T20:59:08Z -who pandemic,Q57107144,57024300,14,2020-03-28T20:59:08Z -who pandemic,Q64066361,63768847,15,2020-03-28T20:59:08Z -who pandemic,Q57111429,57028582,16,2020-03-28T20:59:08Z -who pandemic,Q30388857,32000268,17,2020-03-28T20:59:08Z -who pandemic,Q57111453,57028606,18,2020-03-28T20:59:08Z -who pandemic,Q57107509,57024665,19,2020-03-28T20:59:08Z -who pandemic,Q57107537,57024693,20,2020-03-28T20:59:08Z -who pandemic,Q57108052,57025208,21,2020-03-28T20:59:08Z -who pandemic,Q57110409,57027562,22,2020-03-28T20:59:08Z -who pandemic,Q30370977,31982496,23,2020-03-28T20:59:08Z -who pandemic,Q30390039,32001440,24,2020-03-28T20:59:08Z -who pandemic,Q57116762,57033912,25,2020-03-28T20:59:08Z -who pandemic,Q57109222,57026375,26,2020-03-28T20:59:08Z -who pandemic,Q43244632,44473941,27,2020-03-28T20:59:08Z -who pandemic,Q57109871,57027024,28,2020-03-28T20:59:08Z -who pandemic,Q57109627,57026780,29,2020-03-28T20:59:08Z -who pandemic,Q57113575,57030727,30,2020-03-28T20:59:08Z -who pandemic,Q17654290,19247486,31,2020-03-28T20:59:08Z -who pandemic,Q59135891,59042804,32,2020-03-28T20:59:08Z -who pandemic,Q57107745,57024901,33,2020-03-28T20:59:08Z -who pandemic,Q30371229,31982745,34,2020-03-28T20:59:08Z -who pandemic,Q17654311,19247513,35,2020-03-28T20:59:08Z -who pandemic,Q44949030,46131050,36,2020-03-28T20:59:08Z -who pandemic,Q57096299,57013460,37,2020-03-28T20:59:08Z -who 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-коронавирус,Q84263196,83565290,5,2020-03-28T21:00:13Z -коронавирус,Q88573171,87805410,6,2020-03-28T21:00:13Z -коронавирус,Q83873577,83181964,7,2020-03-28T21:00:13Z -коронавирус,Q87193778,86430268,8,2020-03-28T21:00:13Z -коронавирус,Q57751738,57665961,9,2020-03-28T21:00:13Z -коронавирус,Q87250897,86486492,10,2020-03-28T21:00:13Z -коронавирус,Q84104992,83408431,11,2020-03-28T21:00:13Z -коронавирус,Q83189805,82525152,12,2020-03-28T21:00:13Z -коронавирус,Q85009501,84304300,13,2020-03-28T21:00:13Z -коронавирус,Q88551537,87784005,14,2020-03-28T21:00:13Z -коронавирус,Q87486535,86724640,15,2020-03-28T21:00:13Z -коронавирус,Q83889294,83197238,16,2020-03-28T21:00:13Z -коронавирус,Q83873593,83181978,17,2020-03-28T21:00:13Z -коронавирус,Q87592982,86834733,18,2020-03-28T21:00:13Z -коронавирус,Q87235177,86471226,19,2020-03-28T21:00:13Z -коронавирус,Q84166704,83469925,20,2020-03-28T21:00:13Z -коронавирус,Q87473205,86707213,21,2020-03-28T21:00:13Z -коронавирус,Q83872271,83180693,22,2020-03-28T21:00:13Z -коронавирус,Q87250752,86486349,23,2020-03-28T21:00:13Z -коронавирус,Q87068864,86307984,24,2020-03-28T21:00:13Z -коронавирус,Q17887638,19456197,25,2020-03-28T21:00:13Z -коронавирус,Q88008804,87237894,26,2020-03-28T21:00:13Z -коронавирус,Q86121504,85385233,27,2020-03-28T21:00:13Z -коронавирус,Q87651995,86891887,28,2020-03-28T21:00:13Z -коронавирус,Q87902950,87134177,29,2020-03-28T21:00:13Z -коронавирус,Q87346429,86580423,30,2020-03-28T21:00:13Z -коронавирус,Q86919406,86162326,31,2020-03-28T21:00:13Z -коронавирус,Q87748614,86985843,32,2020-03-28T21:00:13Z -sars-cov-2 or covid-19,Q82069695,81427064,0,2020-03-28T21:00:13Z -sars-cov-2 or covid-19,Q81068910,80438732,1,2020-03-28T21:00:13Z -sars-cov-2 or covid-19,Q88292589,87531485,2,2020-03-28T21:00:13Z -sars-cov-2 or covid-19,Q86717788,85963262,3,2020-03-28T21:00:13Z -on the origin and continuing evolution of sars-cov-2,Q87072039,86311079,0,2020-03-28T21:00:13Z -the proximal origin of sars-cov-2,Q87830056,87063085,0,2020-03-28T21:00:14Z -coronavirus,Q82069695,81427064,0,2020-03-28T21:00:14Z -coronavirus,Q57751738,57665961,1,2020-03-28T21:00:14Z -coronavirus,Q81068910,80438732,2,2020-03-28T21:00:14Z -coronavirus,Q85438966,84727446,3,2020-03-28T21:00:14Z -coronavirus,Q290805,281133,4,2020-03-28T21:00:14Z -coronavirus,Q84263196,83565290,5,2020-03-28T21:00:14Z -coronavirus,Q4902157,4683197,6,2020-03-28T21:00:14Z -coronavirus,Q278567,269284,7,2020-03-28T21:00:14Z -coronavirus,Q1134583,1081411,8,2020-03-28T21:00:14Z -coronavirus,Q86717788,85963262,9,2020-03-28T21:00:14Z -coronavirus,Q83741704,83052932,10,2020-03-28T21:00:14Z -coronavirus,Q16983356,18587433,11,2020-03-28T21:00:14Z -coronavirus,Q8351095,8310340,12,2020-03-28T21:00:14Z -coronavirus,Q83873577,83181964,13,2020-03-28T21:00:14Z -coronavirus,Q16991954,18596328,14,2020-03-28T21:00:14Z -coronavirus,Q83872291,83180713,15,2020-03-28T21:00:14Z -coronavirus,Q84055514,83360341,16,2020-03-28T21:00:14Z -coronavirus,Q87250860,86486455,17,2020-03-28T21:00:14Z -coronavirus,Q18975243,20532101,18,2020-03-28T21:00:14Z -coronavirus,Q86847911,86092058,19,2020-03-28T21:00:14Z -coronavirus,Q83872271,83180693,20,2020-03-28T21:00:14Z -coronavirus,Q84497971,83797612,21,2020-03-28T21:00:14Z -coronavirus,Q83873593,83181978,22,2020-03-28T21:00:14Z -coronavirus,Q88558997,87791428,23,2020-03-28T21:00:14Z -coronavirus,Q84104992,83408431,24,2020-03-28T21:00:14Z -coronavirus,Q87722485,86960649,25,2020-03-28T21:00:14Z -coronavirus,Q86628344,85875295,26,2020-03-28T21:00:14Z -coronavirus,Q83889294,83197238,27,2020-03-28T21:00:14Z -coronavirus,Q87719499,86957644,28,2020-03-28T21:00:14Z -coronavirus,Q83761248,83072384,29,2020-03-28T21:00:14Z -coronavirus,Q83189805,82525152,30,2020-03-28T21:00:14Z -coronavirus,Q24558699,26524771,31,2020-03-28T21:00:14Z -coronavirus,Q86458103,85707475,32,2020-03-28T21:00:14Z -coronavirus,Q83864933,83173486,33,2020-03-28T21:00:14Z -coronavirus,Q34193942,35634067,34,2020-03-28T21:00:14Z -coronavirus,Q5032409,4809085,35,2020-03-28T21:00:14Z -coronavirus,Q86886544,86130461,36,2020-03-28T21:00:14Z -coronavirus,Q16983360,18587438,37,2020-03-28T21:00:14Z -coronavirus,Q454829,429104,38,2020-03-28T21:00:14Z -coronavirus,Q88161067,87405506,39,2020-03-28T21:00:14Z -coronavirus,Q88175330,87419470,40,2020-03-28T21:00:14Z -coronavirus,Q24604486,26570146,41,2020-03-28T21:00:14Z -coronavirus,Q85173778,84463852,42,2020-03-28T21:00:14Z -coronavirus,Q86597685,85844983,43,2020-03-28T21:00:14Z -coronavirus,Q86521237,85769918,44,2020-03-28T21:00:14Z -coronavirus,Q86694873,85940486,45,2020-03-28T21:00:14Z -coronavirus,Q29615331,31261050,46,2020-03-28T21:00:14Z -coronavirus,Q87429464,86658557,47,2020-03-28T21:00:14Z -coronavirus,Q29618053,31263693,48,2020-03-28T21:00:14Z -coronavirus,Q85876114,85146673,49,2020-03-28T21:00:14Z -coronavirus,Q28200848,29898572,50,2020-03-28T21:00:14Z -coronavirus,Q84166704,83469925,51,2020-03-28T21:00:14Z -coronavirus,Q24523202,26491202,52,2020-03-28T21:00:14Z -coronavirus,Q88734777,87965183,53,2020-03-28T21:00:14Z -coronavirus,Q24549102,26516390,54,2020-03-28T21:00:14Z -coronavirus,Q84167106,83470327,55,2020-03-28T21:00:14Z -coronavirus,Q88509703,87743157,56,2020-03-28T21:00:14Z -coronavirus,Q88177016,87421137,57,2020-03-28T21:00:14Z -coronavirus,Q18965335,20522232,58,2020-03-28T21:00:14Z -coronavirus,Q88176276,87420400,59,2020-03-28T21:00:14Z -coronavirus,Q85872065,85142665,60,2020-03-28T21:00:14Z -coronavirus,Q88175141,87419281,61,2020-03-28T21:00:14Z -coronavirus,Q29615906,31261618,62,2020-03-28T21:00:14Z -coronavirus,Q2132904,2058939,63,2020-03-28T21:00:14Z -coronavirus,Q4950554,4731258,64,2020-03-28T21:00:14Z -coronavirus,Q88175947,87420079,65,2020-03-28T21:00:14Z -coronavirus,Q34967815,36396055,66,2020-03-28T21:00:14Z -coronavirus,Q84318312,83619880,67,2020-03-28T21:00:14Z -coronavirus,Q22103916,24134729,68,2020-03-28T21:00:14Z -coronavirus,Q86756826,86002048,69,2020-03-28T21:00:14Z -coronavirus,Q18907882,20464878,70,2020-03-28T21:00:14Z -coronavirus,Q70920585,70583133,71,2020-03-28T21:00:14Z -coronavirus,Q87833915,87066869,72,2020-03-28T21:00:14Z -coronavirus,Q2117529,2043835,73,2020-03-28T21:00:14Z -coronavirus,Q87652010,86891900,74,2020-03-28T21:00:14Z -coronavirus,Q24808944,26771869,75,2020-03-28T21:00:14Z -coronavirus,Q88366392,87603309,76,2020-03-28T21:00:14Z -coronavirus,Q86452405,85702034,77,2020-03-28T21:00:14Z -coronavirus,Q57773822,57688229,78,2020-03-28T21:00:14Z -coronavirus,Q84055415,83360242,79,2020-03-28T21:00:14Z -coronavirus,Q69324290,68990499,80,2020-03-28T21:00:14Z -coronavirus,Q83873580,83181967,81,2020-03-28T21:00:14Z -coronavirus,Q88366225,87603144,82,2020-03-28T21:00:14Z -coronavirus,Q88660189,87891130,83,2020-03-28T21:00:14Z -coronavirus,Q88366405,87603322,84,2020-03-28T21:00:14Z -coronavirus,Q87235177,86471226,85,2020-03-28T21:00:14Z -coronavirus,Q24808940,26771865,86,2020-03-28T21:00:14Z -coronavirus,Q87191204,86427766,87,2020-03-28T21:00:14Z -coronavirus,Q87068363,86307510,88,2020-03-28T21:00:14Z -coronavirus,Q33841118,35284420,89,2020-03-28T21:00:14Z -coronavirus,Q70920495,70583045,90,2020-03-28T21:00:14Z -coronavirus,Q88366251,87603169,91,2020-03-28T21:00:14Z -coronavirus,Q87715843,86954087,92,2020-03-28T21:00:14Z -coronavirus,Q88176251,87420374,93,2020-03-28T21:00:14Z -coronavirus,Q88097247,87342263,94,2020-03-28T21:00:14Z -coronavirus,Q88660220,87891161,95,2020-03-28T21:00:14Z -coronavirus,Q28188496,29886347,96,2020-03-28T21:00:14Z -coronavirus,Q84581246,83879685,97,2020-03-28T21:00:14Z -coronavirus,Q87473205,86707213,98,2020-03-28T21:00:14Z -coronavirus,Q88660202,87891143,99,2020-03-28T21:00:14Z -coronavirus,Q88660232,87891173,100,2020-03-28T21:00:14Z -coronavirus,Q7834605,7768222,101,2020-03-28T21:00:14Z 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a/transliterations/src/collect_trends.py b/transliterations/src/collect_trends.py index 16a5c93..1820bc5 100644 --- a/transliterations/src/collect_trends.py +++ b/transliterations/src/collect_trends.py @@ -18,7 +18,7 @@ def grouper(iterable, n, fillvalue=None): def get_daily_trends(): trendReq = TrendReq(backoff_factor=0.2) today_trending = trendReq.today_searches() - daily_trends_outfile = path.join("..","data","output","daily_google_trends.csv") + daily_trends_outfile = path.join("..","output","daily_google_trends.csv") write_header = False header = ['date','term','top'] @@ -26,7 +26,7 @@ def get_daily_trends(): if not path.exists(daily_trends_outfile): write_header = True - with open("../data/output/daily_google_trends.csv",'a',newline='') as of: + with open("../output/intermediate/daily_google_trends.csv",'a',newline='') as of: writer = csv.writer(of) if write_header: writer.writerow(header) @@ -59,7 +59,7 @@ def get_related_queries(stems): df = pd.concat(out[k]) df['date'] = str(datetime.now().date()) out[k] = df - outfile = path.join('..','data','output',f"related_searches_{k}.csv") + outfile = path.join('..','output','intermediate',f"related_searches_{k}.csv") if path.exists(outfile): mode = 'a' header = False @@ -69,7 +69,7 @@ def get_related_queries(stems): df.to_csv(outfile, mode=mode, header=header,index=False) -stems = [t.strip() for t in open("../data/input/base_terms.txt",'r')] +stems = [t.strip() for t in open("../resources/base_terms.txt",'r')] get_daily_trends() diff --git a/transliterations/src/compile_transliterated_phrases.sh b/transliterations/src/compile_transliterated_phrases.sh index 55fe211..6d633ee 100755 --- a/transliterations/src/compile_transliterated_phrases.sh +++ b/transliterations/src/compile_transliterated_phrases.sh @@ -6,11 +6,11 @@ echo "Reading Google trends" python3 collect_trends.py echo "Searching for Wikidata entities using base_terms.txt" -python3 wikidata_search.py ../data/input/base_terms.txt --output ../data/output/wikidata_search_results.csv +python3 wikidata_search.py ../resources/base_terms.txt --output ../output/intermediate/wikidata_search_results.csv echo "Searching for Wikidata entities using Google trends" -python3 wikidata_search.py ../data/output/related_searches_rising.csv ../data/output/related_searches_top.csv --use-gtrends --output ../data/output/wikidata_search_results_from_gtrends.csv +python3 wikidata_search.py ../output/intermediate/related_searches_rising.csv ../output/intermediate/related_searches_top.csv --use-gtrends --output ../output/intermediate/wikidata_search_results_from_gtrends.csv echo "Finding transliterations from Wikidata using sparql" -python3 wikidata_transliterations.py ../data/output/wikidata_search_results_from_gtrends.csv ../data/output/wikidata_search_results.csv --topN 10 20 --output ../data/output/$(date '+%Y-%m-%d')_wikidata_entity_labels.csv +python3 wikidata_transliterations.py ../output/intermediate/wikidata_search_results_from_gtrends.csv ../output/intermediate/wikidata_search_results.csv --topN 10 20 --output ../output/csv/$(date '+%Y-%m-%d')_wikidata_entity_labels.csv diff --git a/transliterations/src/wikidata_transliterations.py b/transliterations/src/wikidata_transliterations.py index 0856c9c..1ac956c 100644 --- a/transliterations/src/wikidata_transliterations.py +++ b/transliterations/src/wikidata_transliterations.py @@ -2,6 +2,7 @@ from wikidata_api_calls import run_sparql_query from itertools import chain, islice import csv from json import JSONDecodeError +from os import path class LabelData: __slots__ = ['entityid','label','langcode','is_alt'] @@ -84,6 +85,14 @@ def GetEntityLabels(entityids): return chain(*calls) +def find_new_output_file(output, i = 1): + if path.exists(output): + name, ext = path.splitext(output) + + return find_new_output_file(f"{name}_{i}.{ext}", i+1) + else: + return output + if __name__ == "__main__": import argparse parser = argparse.ArgumentParser("Use wikidata to find transliterations of terms") @@ -93,4 +102,6 @@ if __name__ == "__main__": args = parser.parse_args() - GetAllLabels(args.inputs, args.output, topNs=args.topN) + output = find_new_output_file(args.output) + + GetAllLabels(args.inputs, output, topNs=args.topN)