X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/34f8b9a23ee8dba8300d610c3aa88e86f7c5347b..ff96d52cb92966dd0c487e6452aeab70773cf3e6:/wikipedia/scripts/fetch_enwiki_daily_views.py

diff --git a/wikipedia/scripts/fetch_enwiki_daily_views.py b/wikipedia/scripts/fetch_enwiki_daily_views.py
new file mode 100755
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--- /dev/null
+++ b/wikipedia/scripts/fetch_enwiki_daily_views.py
@@ -0,0 +1,109 @@
+#!/usr/bin/env python3
+
+###############################################################################
+#
+# This script assumes the presence of the COVID-19 repo.
+# 
+# It (1) reads in the article list and then (2) calls the Wikimedia API to 
+# fetch view information for each article. Output is to (3) JSON and TSV.
+#
+###############################################################################
+
+import sys
+import requests
+import argparse
+import json
+import time
+import os.path
+import datetime
+import logging
+from csv import DictWriter
+import digobs
+#import feather #TBD
+
+def parse_args():
+    parser = argparse.ArgumentParser(description='Call the views API to collect Wikipedia view data.')
+    parser.add_argument('-o', '--output_folder', help='Where to save output', default="wikipedia/data", type=str)
+    parser.add_argument('-i', '--article_file', help='File listing article names', default="wikipedia/resources/enwp_wikiproject_covid19_articles.txt", type=str)
+    parser.add_argument('-d', '--query_date', help='Date if not yesterday, in YYYYMMDD format.', type=str)
+    parser.add_argument('-L', '--logging_level', help='Logging level. Options are debug, info, warning, error, critical. Default: info.', default='info', type=digobs.get_loglevel), 
+    parser.add_argument('-W', '--logging_destination', help='Logging destination file. (default: standard error)', type=str), 
+    args = parser.parse_args()
+    return(args)
+
+def main():
+
+    args = parse_args()
+
+    outputPath = args.output_folder
+    articleFile = args.article_file
+
+    #handle -d
+    if args.query_date:
+        query_date = args.query_date
+    else:
+        yesterday = datetime.datetime.today() - datetime.timedelta(days=1)
+        query_date = yesterday.strftime("%Y%m%d")
+
+    #handle -W
+    if args.logging_destination:
+        logging.basicConfig(filename=args.logging_destination, filemode='a', level=args.logging_level)
+    else:
+        logging.basicConfig(level=args.logging_level)
+
+    export_time = str(datetime.datetime.now())
+    export_date = datetime.datetime.today().strftime("%Y%m%d")
+
+    logging.info(f"Starting run at {export_time}")
+    logging.info(f"Last commit: {digobs.git_hash()}")
+
+    #1 Load up the list of article names
+    j_outfilename = os.path.join(outputPath, f"digobs_covid19-wikipedia-enwiki_dailyviews-{export_date}.json")
+    t_outfilename = os.path.join(outputPath, f"digobs_covid19-wikipedia-enwiki_dailyviews-{export_date}.tsv")
+
+    with open(articleFile, 'r') as infile:
+        articleList = list(map(str.strip, infile))
+
+    success = 0 #for logging how many work/fail
+    failure = 0 
+
+    #3 Save results as a JSON and TSV
+    with open(j_outfilename, 'w') as j_outfile, \
+         open(t_outfilename, 'w') as t_outfile:
+
+        #2 Repeatedly call the API with that list of names
+        for a in articleList:
+            url= f"https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/all-agents/{a}/daily/{query_date}00/{query_date}00"
+
+            response = requests.get(url)
+            if response.ok:
+                jd = response.json()["items"][0]
+                success = success + 1
+            else:
+                failure = failure + 1
+                logging.warning(f"Failure: {response.status_code} from {url}")
+
+            # start writing the CSV File if it doesn't exist yet
+            try:
+                dw
+            except NameError:
+                dw = DictWriter(t_outfile, sorted(jd.keys()), delimiter='\t')
+                dw.writeheader()
+
+            logging.debug(f"printing data: {jd}")
+
+            # write out the line of the json file
+            print(json.dumps(jd), file=j_outfile)
+
+            # write out of the csv file
+            dw.writerow(jd)
+
+    # f_Out = outputPath + "dailyviews" + query_date + ".feather"
+    # read the json back in and make a feather file? 
+    logging.debug(f"Run complete at {datetime.datetime.now()}")
+    logging.info(f"Processed {success} successful URLs and {failure} failures.")
+
+
+if __name__ == "__main__":
+
+    main()