harej

import requests
import csv
from collections import defaultdict


def get_citation(inputstring):
    r = requests.get("https://citoid.wikimedia.org/api?format=mediawiki&search=" + inputstring)
    return r.json()[0]

harej

# Step 1: Get list of any Wikidata item with NPG ID and anything that is a subclass of chemical hazard
# Step 2: Iterate through each item for invoked items and properties
#         (for claim in claims; for subclaim in claim: 'Q' + str(subclaim['mainsnak']['data-value']['value']['numeric-id'])
#          and subclaim['mainsnak']['property'] where claim[0]['datatype'] == 'wikibase-item')
# Step 3: De-duplicate to generate exhaustive list of each item/property of interest to NIOSH
# Step 4: Check labels: en, es, zh, fr, de
# Step 5: Prepare HTML table that lists each item/property of interest, highlighting cells where values are missing
# Step 6: Take percentages of coverage in each language; save to a timestamped log

import requests

harej

# public domain

from bs4 import BeautifulSoup
import requests

def main():
    manifest = {}
    
    for id in range(1, 687):  # starting with PGCH #1 and going to #686, the last one
        if id == 553:  # this one is irregular and should be skipped