added wikiupdater

.gitignore

@@ -160,3 +160,5 @@ cython_debug/
 #.idea/
 
 activate.sh
+logs/
+pywikibot-Athulvis.lwp

new_schema.txt

@@ -0,0 +1 @@
+[{"name":"date","type":"string","title":{"en":"Date"}},{"name":"covishield","type":"number","title":{"en":"Covishield"}},{"name":"covaxin","type":"number","title":{"en":"Covaxin"}},{"name":"sputnik","type":"number","title":{"en":"Sputnik"}},{"name":"corbevax","type":"number","title":{"en":"Corbevax"}},{"name":"covovax","type":"number","title":{"en":"Covovax"}},{"name":"dose1","type":"number","title":{"en":"Dose 1"}},{"name":"dose2","type":"number","title":{"en":"Dose 2"}},{"name":"precautiondose","type":"number","title":{"en":"Precaution Dose"}}]

old_schema.txt

@@ -0,0 +1 @@
+[{"name":"date","type":"string","title":{"en":"Date"}},{"name":"covishield","type":"number","title":{"en":"Covishield"}},{"name":"covaxin","type":"number","title":{"en":"Covaxin"}},{"name":"sputnik","type":"number","title":{"en":"Sputnik"}},{"name":"dose1","type":"number","title":{"en":"Dose 1"}},{"name":"dose2","type":"number","title":{"en":"Dose 2"}}]

wikiupdater.py

@@ -0,0 +1,88 @@
+import pywikibot
+import pandas as pd
+from pathlib import Path
+from ast import literal_eval
+
+import time
+
+
+fpath = Path("vaccine_data").glob('**/*.csv')
+
+
+files = [x for x in fpath if x.is_file()]
+
+with open("old_schema.txt",'r') as f:
+    old_schema = f.read() 
+
+with open("new_schema.txt",'r') as f:
+    new_schema = f.read()   
+
+def header_fixer(pout):
+
+    pmod = pout.split('"data":')[0]+'"data":'
+    wdata = literal_eval(pout.split('"data":')[1][:-1])
+    if old_schema in pmod:
+        updt_pmod = pmod.replace(old_schema, new_schema)
+        updt = 0
+    else:
+        updt_pmod = pout[:-2]
+        updt = 1
+
+    return updt_pmod, updt, wdata  
+
+def string_data(file, wdata):
+
+
+    df = pd.read_csv(file)
+    df2 = df[['date', 'covishield',	'covaxin', 'sputnik', 'corbevax',
+        'covovax','Total dose 1', 'Total dose 2', 'Total Precuation dose' ]]
+
+    if len(wdata[0]) != len(df2.columns):
+        diff_json = df2.to_json(orient="values")
+    else:
+        wdf = pd.DataFrame(wdata, columns=df2.columns)
+
+        merge_df = pd.merge(df2,wdf, on=list(df2.columns), how='inner')
+        df_diff = df2[~df2['date'].isin(merge_df['date'])]
+        if df_diff.empty:
+                diff_json = 0
+        else:
+                diff_json = df_diff.to_json(orient="values")
+    return diff_json
+
+
+def main(district):
+
+    site = pywikibot.Site('commons', 'commons')  
+    if district == 'kerala':
+        page = pywikibot.Page(site, 'Data:COVID-19/Vaccinations/India/Kerala.tab')
+    else:
+        page = pywikibot.Page(site, f'Data:COVID-19/Vaccinations/India/Kerala/{district}.tab')
+
+
+
+    text = page.text
+
+    pmod, updt, wdata = header_fixer(text)
+
+    covid_json = string_data(files[-1], wdata)
+
+    if covid_json !=0 :
+        if updt == 0:
+
+            page.text = pmod + covid_json + "}"
+            page.save('Replacing data')
+        elif updt == 1:
+            pmod += "," + covid_json[1:] + "}"
+            page.text = pmod
+            page.save('Replacing data')
+
+
+
+if __name__=="__main__":
+
+    for dist in files:
+        district = dist.stem
+        print(district)
+        main(district)
+        time.sleep(5)