#!/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. # ############################################################################### #1 Load up the list of article names #2 Repeatedly call the API with that list of names #3 Save results as a TSV import requests import argparse import json import csv import time import os.path import datetime #import feather def parse_args(): parser = argparse.ArgumentParser(description='Call the views API repeatedly.') parser.add_argument('-o', '--output_folder', help='Where to save output', default="../data/", type=str) parser.add_argument('-i', '--article_file', help='File listing article names', default="../resources/articles.txt", type=str) parser.add_argument('-d', '--query_date', help='Date if not yesterday, in YYYYMMDD format please.', type=str) args = parser.parse_args() return(args) def main(): args = parse_args() outputPath = args.output_folder articleFile = args.article_file if (args.query_date): queryDate = args.query_date else: yesterday = datetime.datetime.today() - datetime.timedelta(days=1) queryDate = yesterday.strftime("%Y%m%d") queryDate = queryDate + "00" #requires specifying hours articleList = [] with open(articleFile, 'r') as infileHandle: #theInfile = csv.reader(infileHandle, quotechar='"') theInfile = csv.reader(infileHandle) next(theInfile) #skip header for currentLine in theInfile: articleList.append(currentLine) j_Out = outputPath + "dailyviews" + queryDate + ".json" t_Out = outputPath + "dailyviews" + queryDate + ".tsv" j = [] i = 0 #iterator to deal with end of file for a in articleList: a = a[0] #destringify i = i+1 url= "https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/all-agents/" url= url + a + "/daily/" + queryDate + "/" + queryDate #for now, single date at a time response = requests.get(url) if response.ok: jd = json.loads(response.content) j.append(jd["items"][0]) time.sleep(.1) #all data in j now, make json file with open(j_Out, 'w') as j_outfile: json.dump(j, j_outfile, indent=2) with open(t_Out, 'w') as t_outfile: dw = csv.DictWriter(t_outfile, sorted(j[0].keys()), delimiter='\t') dw.writeheader() dw.writerows(j) f_Out = outputPath + "dailyviews" + queryDate + ".feather" #read the json back in and make a feather file? if __name__ == "__main__": main()