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# %%
# !pip install requests
# %%
# pip install pygsheets
# %%
import requests
import json
import pandas as pd
import threading
from threading import Timer
from threading import Thread
import queue
import time
# from __future__ import print_function
from googleapiclient.discovery import build
from google.oauth2 import service_account
import pygsheets
import numpy as np
from datetime import datetime
# from save_thread_result import ThreadWithResult
from threading import Thread, Event
prjnamesURL= 'https://docs.google.com/spreadsheets/d/1I4P7wiCXTAwnld0YQfUJC8bPtuiETna1HGWVuHbuDBk/edit#gid=0'
prjpartsURL= 'https://docs.google.com/spreadsheets/d/1I4P7wiCXTAwnld0YQfUJC8bPtuiETna1HGWVuHbuDBk/edit#gid=2102042200'
prjsectionsURL= 'https://docs.google.com/spreadsheets/d/1I4P7wiCXTAwnld0YQfUJC8bPtuiETna1HGWVuHbuDBk/edit#gid=1708565170'
dfNames=pd.DataFrame()
dfParts=pd.DataFrame()
que= queue.Queue()
returnString=''
#FIRST TIME ONLY , DONT CALL UNLESS NEEDED
def AuthorizeGoogleSheets():
SCOPES = [
'https://www.googleapis.com/auth/spreadsheets',
'https://www.googleapis.com/auth/drive'
]
credentials = service_account.Credentials.from_service_account_file('credentials.json', scopes=SCOPES)
spreadsheet_service = build('sheets', 'v4', credentials=credentials)
drive_service = build('drive', 'v3', credentials=credentials)
gc = pygsheets.authorize(custom_credentials=credentials, client_secret='credentials.json')
return spreadsheet_service,drive_service,gc
# %% #FIRST TIME ONLY , DONT CALL UNLESS NEEDED
def createSheet():
spreadsheet_service,drive_service,gc=AuthorizeGoogleSheets()
#create sheet
titles=gc.spreadsheet_titles()
if 'API tables Output' in titles:
ws=gc.open(str('API tables Output'))
spreadsheetId=ws.id
else:
spreadsheet_details = {
'properties': {
'title': 'API tables Output'
}
}
sheet = spreadsheet_service.spreadsheets().create(body=spreadsheet_details,
fields='spreadsheetId').execute()
spreadsheetId = sheet.get('spreadsheetId')
permission1 = {
'type': 'anyone',
'role': 'writer',
# 'emailAddress': 'marthe.adr@gmail.com'
}
drive_service.permissions().create(fileId=spreadsheetId, body=permission1).execute()
ws = gc.open_by_key(spreadsheetId)
projectNamesSheet = ws.worksheet(0)
projectNamesSheet.title='Project Names'#first sheet
ws.add_worksheet("Project Parts") # secondsheet
ws.add_worksheet("Sections") # thirdsheet
print('SPREADHSEET IDDDD=====',spreadsheetId)
return ws,gc,spreadsheetId
# %% [markdown]
# # **New** API
# %%
def APIValues():
query={'loginname':'Marthe','password':'marthemain'}
#token="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJodHRwOi8vc2NoZW1hcy54bWxzb2FwLm9yZy93cy8yMDA1LzA1L2lkZW50aXR5L2NsYWltcy9uYW1lIjoiQURSIiwibmJmIjoiMTY4MDg1OTgzMyIsImV4cCI6IjE2ODA5MDMwMzMifQ.-FULhKD_M-cyIdSMMIYDlEo9DoZtc00yIlyXIPuyLZI"
head={'Content-Type':'application/json'}
response=requests.post(url="https://console.trevorsadd.co.uk/account/login",json=query,headers=head)
key=response.text
head={'Content-Type':'application/json;charset=UTF-8',"Authorization":'Bearer {}'.format(key)}
response=requests.post(url="https://console.trevorsadd.co.uk/project/getprojectslist",json=query,headers=head)
dict1=response.json()
return dict1
# %% [markdown]
# ### Generate Tables
# %%
def GenerateTables():
dict1=APIValues()
##First table should ONLY contain: All project Ids and names
#Second table should contain ProjId,ProjectPartId,ProjectPart
#Third table should contain ProjId,ProjectPartId,ProjectSection
table1=pd.DataFrame(columns= ['ProjectId','ProjectName'])
table2=pd.DataFrame(columns= ['ProjectId','ProjectPartId','ProjectPart'])
table3=pd.DataFrame(columns= ['ProjectId','ProjectPartId','ProjectSection'])
for item in dict1:
table1 = pd.concat([table1, pd.DataFrame([[item.get('id'),item.get('projectname')]], columns=table1.columns)], ignore_index=True)
projectPartsList=item.get('projectparts')
for part in projectPartsList:
table2= pd.concat([table2,pd.DataFrame([[item.get('id'),part.get('id'),part.get('name')]], columns=table2.columns)], ignore_index=True)
sections=part.get('projectsections')
for section in sections:
table3= pd.concat([table3,pd.DataFrame([[item.get('id'),section.get('projectPartId'),section.get('section')]], columns=table3.columns)], ignore_index=True)
# table1 = pd.concat([table1, pd.DataFrame([['2222','trial1']], columns=table1.columns)], ignore_index=True)
# table2= pd.concat([table2,pd.DataFrame([['2222','66','partname']], columns=table2.columns)], ignore_index=True)
# table3= pd.concat([table3,pd.DataFrame([['2222','66','newSectionsss']], columns=table3.columns)], ignore_index=True)
return table1,table2,table3
# Set Tables to Sheets
def AppendtablestoSheets():
gc=AuthorizeGoogleSheets()[2]
ws = gc.open_by_key('1I4P7wiCXTAwnld0YQfUJC8bPtuiETna1HGWVuHbuDBk')
table1,table2,table3= GenerateTables()
projectNamesSheet=ws.worksheet_by_title('Project Names')
projectPartsSheet=ws.worksheet_by_title('Project Parts')
projectSectionsSheet=ws.worksheet_by_title('Sections')
projectNamesSheet.clear()
projectPartsSheet.clear()
projectSectionsSheet.clear()
#append tables to google sheets
projectNamesSheet.set_dataframe(start='A1',df=table1)
projectPartsSheet.set_dataframe(start='A1',df=table2)
projectSectionsSheet.set_dataframe(start='A1',df=table3)
# return table1,table2,table3
# %%
#-------------------------------------------------------------------------------CALL THIS FUNCTION TO BEGIN----------------------------------------------------------------------
#--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
def getPrjNames(url=prjnamesURL):
#url first sheet of names
url_1 = url.replace('/edit#gid=', '/export?format=csv&gid=')
df = pd.read_csv(url_1)
return df['ProjectName'].tolist(), df['ProjectId'].tolist()
# %%
def getprjParts(chosenprjid,urlNames=prjnamesURL,urlparts=prjpartsURL):
url_2 = urlparts.replace('/edit#gid=', '/export?format=csv&gid=')
global dfParts
dfParts = pd.read_csv(url_2)
print(chosenprjid,dfParts)
dfParts= dfParts.iloc[np.where(dfParts['ProjectId']==int(chosenprjid))]
parts=dfParts['ProjectPart'].tolist()
partsIds=dfParts['ProjectPartId'].tolist()
print(parts)
print(partsIds)
return parts,partsIds
# %%
def getprjSections(chosenprjid, chosenpartid,urlSection=prjsectionsURL):
#GetprojectSections
url_1 = urlSection.replace('/edit#gid=', '/export?format=csv&gid=')
dfSections = pd.read_csv(url_1)
if chosenprjid and chosenpartid:
dfSections=dfSections.iloc[np.where((dfSections['ProjectId']==int(chosenprjid)) & (dfSections['ProjectPartId']==int(chosenpartid)) ) ]
sections=dfSections['ProjectSection'].tolist()
return sections
else:
return
# ##############################################################################
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