5 from datetime import datetime, timedelta
8 from os import path, mkdir
9 from functools import partial
10 from itertools import chain
12 if __name__ == "__main__":
14 parser = argparse.ArgumentParser(description="Get a list of pages related to COVID19, pandemic, and SARS-COV2 virus related entities.")
15 parser.add_argument('-o', '--output_folder', help='Where to save output', default="wikipedia/data", type=str)
16 parser.add_argument('-L', '--logging_level', help='Logging level. Options are debug, info, warning, error, critical. Default: info.', default='info', type=digobs.get_loglevel)
17 parser.add_argument('-W', '--logging_destination', help='Logging destination file. (default: standard error)', type=argparse.FileType('a'))
18 parser.add_argument('-d', '--query_date', help='Date if not yesterday, in YYYYMMDD format.', type=lambda s: datetime.strptime(s, "%Y%m%d"))
20 parser.add_argument('-i', '--input_file', help="Input a file of page names from the English Wikiproject.", type=argparse.FileType('r'), default='./wikipedia/resources/enwp_wikiproject_covid19_articles.txt')
22 parser.add_argument('-b', '--input_db', help="Input a path to a sqlite3 database from the real-time-covid-tracker project", type = sqlite3.connect, default='real-time-wiki-covid-tracker/AllWikidataItems.sqlite')
24 args = parser.parse_args()
26 conn.row_factory = sqlite3.Row
30 query_date = args.query_date.strftime("%Y%m%d")
32 yesterday = datetime.today() - timedelta(days=1)
33 query_date = yesterday.strftime("%Y%m%d")
35 digobs.init_logging(args)
37 logging.info(f"Destructively outputting results to {args.output_folder}")
39 #1 Load up the list of article names
41 logging.info("loading info from database")
42 projects = [row['project'] for row in conn.execute("SELECT DISTINCT project from pagesPerProjectTable;").fetchall()]
47 for project in projects:
48 project_folder = path.join(args.output_folder, project)
49 if not path.exists(project.folder):
52 dump_folder = path.join(projct.folder, export_date)
53 if not path.exists(dump_folder):
56 logging.info(f"Getting page views for {project}")
57 rows = conn.execute(f"SELECT DISTINCT page from pagesPerProjectTable WHERE project='{project}';").fetchall()
58 pages = (row['page'] for row in rows)
60 # special case for english, we have a wikiproject input file
61 if project == "en.wikipedia":
62 pages = chain(pages, map(str.strip,args.input_file))
64 call_view_api = partial(digobs.call_view_api, project=project, query_date = query_date)
66 responses = map(call_view_api, pages)
68 j_outfilename = path.join(j_output_folder, f"digobs_covid19_{project}_dailyviews-{query_date}.json")
69 t_outfilename = path.join(t_output_folder, f"digobs_covid19_{project}_dailyviews-{query_date}.tsv")
71 with open(j_outfilename, 'w') as j_outfile, \
72 open(t_outfilename, 'w') as t_outfile:
74 proj_successes, proj_failures = digobs.process_view_responses(responses, j_outfile, t_outfile, logging)
75 logging.info(f"(Processed {proj_successes} successes and {proj_failures} for {project}")
76 successes = proj_successes + successes
77 failures = proj_failures + failures
80 # f_Out = outputPath + "dailyviews" + query_date + ".feather"
81 # read the json back in and make a feather file?
82 logging.debug(f"Run complete at {datetime.now()}")
83 logging.info(f"Processed {successes} successful URLs and {failures} failures.")