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statewise_get_data.py
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statewise_get_data.py
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import os
import re
import json
from numpy import False_
import requests
import datetime
import pandas as pd
from bs4 import BeautifulSoup
from read_ocr import run_for_ocr
from read_pdf import read_pdf_from_url
OUTPUTS_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '_outputs')
OUTPUT_TXT = os.path.join(os.path.dirname(os.path.abspath(__file__)), '_outputs', 'output.txt')
MOHFW_URL = 'https://www.mohfw.gov.in/data/datanew.json'
api_state_wise = 'https://data.covid19bharat.org/csv/latest/state_wise.csv'
def _get_mohfw_data(name):
'''Fetch state-wise data from MOHFW website.
Inputs:
name: state name, eg: Ladakh
Returns:
dict: [{
'districtName': '',
'confirmed': 12345,
...
}]
'''
datum = (pd.read_json(MOHFW_URL))
# .set_index('state_name'))
# .loc[name])
#print(datum)
datum['state_name'] = datum['state_name'].str.replace('[^a-zA-Z\s]', '', regex=True)
datum = datum.replace('', 0, regex=True)
datum['death_reconsille'] = datum['death_reconsille'].astype(int)
datum['total'] = datum['total'].astype(int)
datum = datum.loc[datum['state_name'] == name]
#print(datum.head(2).to_string(index=False))
#print(datum.dtypes)
#print(datum['death_reconsille'],datum['new_death'],datum['death'])
if str(datum['death_reconsille']) != 0:
#print(datum['death_reconsille'],datum['new_death'],datum['death'])
dDno = datum['new_death'] - datum['death'] + datum['death_reconsille']
else:
dDno = datum['new_death'] - datum['death']
#print('dD = ',dDno.to_string(index=False))
return [{
'districtName': name,
'confirmed': datum['new_positive'].to_string(index=False),
'recovered': datum['new_cured'].to_string(index=False),
'deceased': datum['new_death'].to_string(index=False),
'active': datum['new_active'].to_string(index=False),
'dC': (datum['new_positive'] - datum['positive']).to_string(index=False),
'dR': (datum['new_cured'] - datum['cured']).to_string(index=False),
'dD': dDno.to_string(index=False)
}]
def _get_api_statewise_data(name):
'''Fetch state-wise data from MOHFW website.
Inputs:
name: state name, eg: Ladakh
Returns:
dict: [{
'StateName': '',
'confirmed': 12345,
...
}]
'''
datum = (pd.read_csv(api_state_wise)
.set_index('State')
.loc[name])
return [{
'stateName': name,
'api_C': datum['Confirmed'],
'api_R': datum['Recovered'],
'api_D': datum['Deaths'],
'api_A': datum['Active']
}]
def ap_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
#if opt['skip_output'] == False:
# response = requests.request('GET', opt['url'], verify=False)
# soup = BeautifulSoup(response.content, 'html.parser')
# table = soup.find('table', {'class': 'table'}).find_all('tr')
# districts_data = []
# for row in table[1:]:
# Ignoring 1st row containing table headers
# d = row.find_all('td')
# districts_data.append({
# 'districtName': d[0].get_text(),
# 'confirmed': int(d[1].get_text().strip()),
# 'recovered': int(d[2].get_text().strip()),
# 'deceased': int(d[3].get_text().strip())
# })
'''
elif opt['type'] == 'pdf':
if opt['skip_output'] == False:
read_pdf_from_url(opt)
to_correct = []
needs_correction = False
linesArray = []
districtDictionary = {}
districts_data = []
csv_file = os.path.join(OUTPUTS_DIR, '{}.csv'.format(opt['state_code'].lower()))
try:
with open(csv_file, "r") as upFile:
for line in upFile:
linesArray = line.split(',')
if len(linesArray) != 4:
needs_correction = True
linesArray.insert(0, '--> Issue with')
to_correct.append(linesArray)
continue
districtDictionary = {}
districtDictionary['districtName'] = linesArray[0].strip()
districtDictionary['confirmed'] = int(linesArray[1])
districtDictionary['recovered'] = int(linesArray[2])
districtDictionary['deceased'] = int(linesArray[3]) if len(re.sub('\n', '', linesArray[3])) != 0 else 0
districts_data.append(districtDictionary)
except Exception as e:
return {
'needs_correction': True,
'to_correct': e,
'output': csv_file
}
upFile.close()
if needs_correction:
return {
'needs_correction': True,
'to_correct': to_correct,
'output': csv_file
}
elif opt['type'] == 'image':
if opt['skip_output'] == False:
run_for_ocr(opt)
to_correct = []
needs_correction = False
linesArray = []
districtDictionary = {}
districts_data = []
splitArray = []
try:
with open(OUTPUT_TXT, "r") as upFile:
for line in upFile:
splitArray = re.sub('\n', '', line.strip()).split('|')
linesArray = splitArray[0].split(',')
if len(linesArray) != 6:
needs_correction = True
linesArray.insert(0, '--> Issue with')
to_correct.append(linesArray)
continue
if linesArray[0].strip() == "Total":
continue
districtDictionary = {}
districtDictionary['districtName'] = linesArray[0].strip()
districtDictionary['confirmed'] = int(linesArray[2].strip())
districtDictionary['recovered'] = int(linesArray[4].strip())
districtDictionary['deceased'] = int(linesArray[5].strip())
districts_data.append(districtDictionary)
except Exception as e:
return {
'needs_correction': True,
'output': OUTPUT_TXT,
'to_correct': e
}
upFile.close()
if needs_correction:
return {
'needs_correction': True,
'output': OUTPUT_TXT,
'to_correct': to_correct
}
'''
#return districts_data
def an_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
def ar_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
'''
elif opt['type'] == 'image':
if opt['skip_output'] == False:
run_for_ocr(opt)
to_correct = []
needs_correction = False
districts_data = []
additionalDistrictInfo = {}
additionalDistrictInfo['districtName'] = 'Papum Pare'
additionalDistrictInfo['confirmed'] = 0
additionalDistrictInfo['recovered'] = 0
additionalDistrictInfo['deceased'] = 0
try:
with open(OUTPUT_TXT, "r") as upFile:
for line in upFile:
if 'Total' in line:
continue
linesArray = line.split('|')[0].split(',')
NcolReq = 14
if len(linesArray) != NcolReq:
NcolErr = '--> Ncol='+str(len(linesArray))+' (NcolReq='+str(NcolReq)+')'
needs_correction = True
linesArray.insert(0, NcolErr)
to_correct.append(', '.join(linesArray))
continue
# take total of `Papum Pare` & `Capital Complex` under a single district called `Papum Pare`
# Anjaw , 4 , 21079 , 20891 , 19823 , 1068 , 0 , 0 , 0 , 0 , 0 , 0 , 1065, 3
if linesArray[0].strip() == "Capital Complex" or linesArray[0].strip() == "Papum Pare":
additionalDistrictInfo['confirmed'] += int(linesArray[5])
additionalDistrictInfo['recovered'] += int(linesArray[12])
additionalDistrictInfo['deceased'] += int(linesArray[13]) if len(re.sub('\n', '', linesArray[13])) != 0 else 0
continue
districtDictionary = {}
districtName = linesArray[0].strip()
districtDictionary['districtName'] = linesArray[0].strip()
districtDictionary['confirmed'] = int(linesArray[5])
districtDictionary['recovered'] = int(linesArray[12])
districtDictionary['deceased'] = int(linesArray[13]) if len(re.sub('\n', '', linesArray[13])) != 0 else 0
districts_data.append(districtDictionary)
except Exception as e:
return {
'needs_correction': True,
'output': OUTPUT_TXT,
'to_correct': e
}
# lastly, add the additional district calculated for `Papum Pare`
districts_data.append(additionalDistrictInfo)
upFile.close()
if needs_correction:
return {
'needs_correction': True,
'output': OUTPUT_TXT,
'to_correct': to_correct
}
return districts_data
'''
def as_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
if opt['type'] == 'image':
if opt['skip_output'] == False:
run_for_ocr(opt)
needs_correction = False
to_correct = []
linesArray = []
districtDictionary = {}
districts_data = []
splitArray = []
print('\n*** Do Manual entry of Recovered and Deaths\nDistrictwise Hospitalized \n')
try:
with open(OUTPUT_TXT, "r") as upFile:
for line in upFile:
splitArray = re.sub('\n', '', line.strip()).split('|')
linesArray = splitArray[0].split(',')
NcolReq = 4
if len(linesArray) != NcolReq:
NcolErr = '--> Ncol='+str(len(linesArray))+' (NcolReq='+str(NcolReq)+')'
needs_correction = True
linesArray.insert(0, NcolErr)
to_correct.append(linesArray)
continue
## Why is this not fixed in `as_districts.meta` ??
if int(linesArray[len(linesArray) - 1]) > 0:
if ((linesArray[0].strip() == 'Kamrup Metro') or (linesArray[0].strip() == 'Metro')):
print("Kamrup Metropolitan,Assam,AS,{},Hospitalized".format(linesArray[len(linesArray) - 1].strip()))
elif linesArray[0].strip() == 'Kamrup Rural':
print("Kamrup,Assam,AS,{},Hospitalized".format(linesArray[len(linesArray) - 1].strip()))
elif linesArray[0].strip() == 'South Salmara':
print("South Salmara Mankachar,Assam,AS,{},Hospitalized".format(linesArray[len(linesArray) - 1].strip()))
elif linesArray[0].strip() == 'Hasao':
print("Dima Hasao,Assam,AS,{},Hospitalized".format(linesArray[len(linesArray) - 1].strip()))
else:
print("{},Assam,AS,{},Hospitalized".format(linesArray[0].strip(), linesArray[len(linesArray) - 1].strip()))
# districtDictionary['districtName'] = linesArray[0].strip()
# districtDictionary['confirmed'] = linesArray[len(linesArray) - 1].strip()
# districts_data.append(districtDictionary)
except Exception as e:
return {
'needs_correction': True,
'to_correct': e,
'output': OUTPUT_TXT
}
if needs_correction:
return {
'needs_correction': True,
'to_correct': to_correct,
'output': OUTPUT_TXT
}
return districts_data
def br_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
if opt['type'] == 'image':
if opt['skip_output'] == False:
run_for_ocr(opt)
to_correct = []
needs_correction = False
linesArray = []
districtDictionary = {}
districts_data = []
Dno=0
try:
with open(OUTPUT_TXT, "r") as upFile:
for line in upFile:
linesArray = line.split('|')[0].split(',')
NcolReq = 5
if len(linesArray) != NcolReq:
NcolErr = '--> Ncol='+str(len(linesArray))+' (NcolReq='+str(NcolReq)+')'
needs_correction = True
linesArray.insert(0, NcolErr)
to_correct.append(linesArray)
continue
districtDictionary = {}
districtDictionary['districtName'] = linesArray[0]
districtDictionary['confirmed'] = int(linesArray[1])
districtDictionary['recovered'] = int(linesArray[2])
districtDictionary['deceased'] = int(linesArray[3])
#districtDictionary['deceased'] = int(linesArray[5])
districts_data.append(districtDictionary)
Dno = Dno + 1
except Exception as e:
return {
'needs_correction': True,
'output': OUTPUT_TXT,
'to_correct': e
}
upFile.close()
if needs_correction:
return {
'needs_correction': True,
'output': OUTPUT_TXT,
'to_correct': to_correct
}
print('\n+++++++++++++++++++++++++++++++++++++++++++++++')
print('Districts scraped = ',Dno)
print('+++++++++++++++++++++++++++++++++++++++++++++++')
return districts_data
def ch_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
'''
import urllib
#file download
htm_string_1 = 'http://chdpr.gov.in/cadmin/uploads/downloads/Media_Bulletin_on_'
htm_string_3 = '.docx'
upstring = ''
#bull_date_string = '06-07-2022'
bull_date_string = datetime.datetime.today().strftime('%d-%m-%Y')
bull_date_print = datetime.datetime.today().strftime('%d/%m/%Y')
htm_string= htm_string_1+bull_date_string+htm_string_3
churl=htm_string
#print(htm_string)
filename = '_inputs/'+opt['state_code']+'.docx'
try:
urllib.request.urlretrieve(htm_string, filename)
#extract text from DOCX
#http://etienned.github.io/posts/extract-text-from-word-docx-simply/
try:
from xml.etree.cElementTree import XML
except ImportError:
from xml.etree.ElementTree import XML
import zipfile
"""
Module that extract text from MS XML Word document (.docx).
(Inspired by python-docx <https://github.com/mikemaccana/python-docx>)
"""
WORD_NAMESPACE = '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}'
PARA = WORD_NAMESPACE + 'p'
TEXT = WORD_NAMESPACE + 't'
def get_docx_text(path):
"""
Take the path of a docx file as argument, return the text in unicode.
"""
document = zipfile.ZipFile(path)
xml_content = document.read('word/document.xml')
document.close()
tree = XML(xml_content)
paragraphs = []
for paragraph in tree.getiterator(PARA):
texts = [node.text
for node in paragraph.getiterator(TEXT)
if node.text]
if texts:
paragraphs.append(''.join(texts))
return '|'.join(paragraphs)
#use above sub to Get the txt from docx
text = get_docx_text(filename)
text = text.replace(' ','')
#print(text)
#extract dC dR dD Tests
newcasespat = re.compile(r'newpositivecases\|(\d+)\|')
newcases = re.search(newcasespat, text)
newcases = newcases[1]
newcases = str(int(newcases))
recpat = re.compile(r'Today(\d+)patients')
rec = re.search(recpat, text)
rec = rec[1]
rec = str(int(rec))
#deathpat = re.compile(r'death(\d+)')
#death = re.search(deathpat, text)
#death = death[1]
#death = str(int(death))
testpat = re.compile(r'SamplesTested\|(\d+)')
testno = re.search(testpat, text)
testno = testno[1]
#print(testdate,newcases,rec,testno)
if newcases != '0':
upstring += opt['name']+','+opt['state_code']+','+newcases+',Hospitalized,,,'+churl+'\n'
if rec != '0':
upstring += opt['name']+','+opt['state_code']+','+rec+',Recovered,,,'+churl+'\n'
#if death != '0':
# upstring += opt['name']+','+opt['state_code']+','+death+',Deceased,,,'+churl+'\n'
teststring = bull_date_print+','+opt['name']+',,,,'+testno+',Tested,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,'+churl+'\n'
print('\n On '+bull_date_print+' Cases data for copy & paste \n')
print(upstring,'\n')
print('\n TESTs data for copy & paste \n')
print(teststring,'\n')
except:
print("Todays Bulletin yet to come. check website")
return {
'needs_correction': False
}
response = requests.request("GET", opt['url'])
soup = BeautifulSoup(response.content, 'html.parser')
divs = soup.find("div", {"class": "col-lg-8 col-md-9 form-group pt-10"}).find_all("div", {"class": "col-md-3"})
districtDictionary = {}
districts_data = []
districtDictionary['districtName'] = 'Chandigarh'
for index, row in enumerate(divs):
if index > 2:
continue
dataPoints = row.find("div", {"class": "card-body"}).get_text()
if index == 0:
districtDictionary['confirmed'] = int(dataPoints)
if index == 1:
districtDictionary['recovered'] = int(dataPoints)
if index == 2:
districtDictionary['deceased'] = int(dataPoints)
districts_data.append(districtDictionary)
return districts_data
'''
def ct_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
if opt['type'] == 'pdf':
if opt['skip_output'] == False:
read_pdf_from_url(opt)
needs_correction = False
to_correct = []
linesArray = []
districtDictionary = {}
districts_data = []
csv_file = os.path.join(OUTPUTS_DIR, '{}.csv'.format(opt['state_code'].lower()))
try:
with open(csv_file, "r") as upFile:
for line in upFile:
linesArray = line.split(',')
NcolReq = 4
if len(linesArray) != NcolReq:
NcolErr = '--> Ncol='+str(len(linesArray))+' (NcolReq='+str(NcolReq)+')'
needs_correction = True
linesArray.insert(0, NcolErr)
to_correct.append(linesArray)
continue
districtDictionary = {}
districtDictionary['districtName'] = linesArray[0].strip()
districtDictionary['confirmed'] = int(linesArray[1])
districtDictionary['recovered'] = int(linesArray[2])
districtDictionary['deceased'] = int(linesArray[3]) if len(re.sub('\n', '', linesArray[3])) != 0 else 0
districts_data.append(districtDictionary)
except Exception as e:
return {
'needs_correction': True,
'to_correct': e,
'output': csv_file
}
upFile.close()
if needs_correction:
return {
'needs_correction': True,
'to_correct': to_correct,
'output': csv_file
}
elif opt['type'] == 'image':
if opt['skip_output'] == False:
run_for_ocr(opt)
to_correct = []
needs_correction = False
linesArray = []
districtDictionary = {}
districts_data = []
splitArray = []
#columns reduced to remove dD & D
# nColRef = 9
# print('\nDeaths today column is not scraped if empty. \n last two columns should be clipped for file submission\n')
try:
with open(OUTPUT_TXT, "r") as upFile:
for line in upFile:
splitArray = re.sub('\n', '', line.strip()).split('|')
linesArray = splitArray[0].split(',')
NcolReq = 9
if len(linesArray) != NcolReq:
NcolErr = '--> Ncol='+str(len(linesArray))+' (NcolReq='+str(NcolReq)+')'
needs_correction = True
linesArray.insert(0, NcolErr)
to_correct.append(linesArray)
continue
if linesArray[0].strip() == "Total":
continue
districtDictionary = {}
districtDictionary['districtName'] = linesArray[0].strip()
districtDictionary['confirmed'] = int(linesArray[2].strip())
districtDictionary['recovered'] = int(linesArray[7].strip())
#districtDictionary['deceased'] = int(linesArray[10].strip())
districtDictionary['deceased'] = int(linesArray[2].strip()) - (int(linesArray[7].strip()) + int(linesArray[8].strip()))
districts_data.append(districtDictionary)
except Exception as e:
return {
'needs_correction': True,
'to_correct': e,
'output': OUTPUT_TXT
}
upFile.close()
if needs_correction:
return {
'needs_correction': True,
'to_correct': to_correct,
'output': OUTPUT_TXT
}
return districts_data
def dd_get_data(opt):
pass
def dl_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
def dn_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
def ga_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
'''
response = requests.request('GET', opt['url'])
soup = BeautifulSoup(response.content, 'html.parser')
table = soup.find_all("div", {"class": "vc_col-md-2"})
districts_data = []
for index, row in enumerate(table):
# print(row.get_text())
districtDictionary = {}
districts_data.append(districtDictionary)
return districts_data
'''
def gj_get_data(opt):
districts_data = []
if opt['type'] == 'mohfw':
data=_get_mohfw_data(opt['name'])
api_data=_get_api_statewise_data(opt['name'])
#if (not (int(data[0]['dC']) == (int(data[0]['dR']) + int(data[0]['dD']))) and (((int(data[0]['active']) != api_data[0]['api_A'])) and (int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0)))):
if ((int((data[0]['dC']) != 0) or (int(data[0]['dR']) != 0) or (int(data[0]['dD']) != 0))):
print('\n***WARNING*** CHECK sheet for prior entry before pasting.')
print('State level ('+opt['name']+' : '+opt['state_code']+') dC, dR, dD')
print('-*-'*20,'\n')
if int(data[0]['dC']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dC'])+',Hospitalized,,,'+MOHFW_URL)
if int(data[0]['dR']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dR'])+',Recovered,,,'+MOHFW_URL)
if int(data[0]['dD']) != 0:
print(opt['name']+','+opt['state_code']+','+str(data[0]['dD'])+',Deceased,,,'+MOHFW_URL)
else:
print('\n NO DELTAS')
print('1) No changes or 2) MOHFW yet to update data. Please try after sometime to verify')
return {
'needs_correction': False
}
return districts_data
if opt['type'] == 'html':
response = requests.request('GET', opt['url'])
soup = BeautifulSoup(response.content, 'html.parser')
table = soup.find('table', {'id': 'tbl'}).find_all('tr')
districts_data = []
for row in table[1:]:
# Ignoring 1st row containing table headers
d = row.find_all('td')
districts_data.append({
'districtName': d[0].get_text(),
'confirmed': int(d[1].get_text().strip()),
'recovered': int(d[3].get_text().strip()),
'deceased': int(d[5].get_text().strip())
})
return districts_data
if opt['type'] == 'pdf':
if opt['skip_output'] == False:
read_pdf_from_url(opt)
needs_correction = False
to_correct = []
linesArray = []
districts_data = []
csv_file = os.path.join(OUTPUTS_DIR, '{}.csv'.format(opt['state_code'].lower()))
print('\n+++++++++++++++++++++++++++++++++++++++++++++++')
print('Current Deltas directly from bulletin\nEnsure current data is not entered already')
print('+++++++++++++++++++++++++++++++++++++++++++++++\n')
try:
with open(csv_file, "r") as upFile:
for line in upFile:
linesArray = line.split(',')
NcolReq = 4
if len(linesArray) != NcolReq:
NcolErr = '--> Ncol='+str(len(linesArray))+' (NcolReq='+str(NcolReq)+')'
needs_correction = True
linesArray.insert(0, NcolErr)
to_correct.append(linesArray)
continue
#Directly printout current deltas given in bulletin
if 'Surat' in linesArray[0].strip():
dt_name = 'Surat'
elif 'Vadodara' in linesArray[0].strip():
dt_name = 'Vadodara'
elif 'Rajkot' in linesArray[0].strip():
dt_name = 'Rajkot'
elif 'Bhavnagar' in linesArray[0].strip():
dt_name = 'Bhavnagar'
elif 'Jamnagar' in linesArray[0].strip():
dt_name = 'Jamnagar'
#elif 'Gir' in linesArray[0].strip():
# dt_name = 'Gir'
elif 'Junagadh' in linesArray[0].strip():
dt_name = 'Junagadh'
elif 'Aanand' in linesArray[0].strip():
dt_name = 'Anand'
elif 'Aravali' in linesArray[0].strip():
dt_name = 'Aravalli'
elif 'Devbhuvam Dwarka' in linesArray[0].strip():
dt_name = 'Devbhumi Dwarka'
elif 'Gandhinagar' in linesArray[0].strip():
dt_name = 'Gandhinagar'
elif 'Kachchh' in linesArray[0].strip():
dt_name = 'Kutch'