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main.py
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import os.path
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
import plotly.express as px
from alive_progress import alive_bar
from datetime import datetime, timedelta
import pandas as pd
SCOPES = ['https://www.googleapis.com/auth/drive.metadata.readonly']
def main():
creds = None
# The file token.json stores the user's access and refresh tokens, and is
# created automatically when the authorization flow completes for the first
# time.
if os.path.exists('token.json'):
creds = Credentials.from_authorized_user_file('token.json', SCOPES)
# If there are no (valid) credentials available, let the user log in.
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file(
'credentials.json', SCOPES)
creds = flow.run_local_server(port=0)
# Save the credentials for the next run
with open('token.json', 'w') as token:
token.write(creds.to_json())
df = pd.DataFrame(columns=('name', 'start', 'end', 'link'))
try:
service = build('drive', 'v3', credentials=creds)
num = 10000
pageToken = None
with alive_bar(num) as bar:
for i in range(int(num/1000)):
# Call the Drive v3 API
results = service.files().list(
q="'itmmckernan@gmail.com' in owners",
pageSize=1000, fields="nextPageToken, files(name, webViewLink, createdTime, modifiedTime)", pageToken=pageToken).execute()
items = results.get('files', [])
pageToken = results.get('nextPageToken')
if not items:
print('No files found.')
return
for item in items:
bar()
fmt_string = '%Y-%m-%dT%H:%M:%S.'
createdTime = datetime.strptime(item['createdTime'][:-4], fmt_string)
modifiedTime = datetime.strptime(item['modifiedTime'][:-4], fmt_string)
df = df.append(dict(name=item['name'], start=createdTime, end=modifiedTime, link=item['webViewLink']), ignore_index=True)
print(item)
except HttpError as error:
print(f'An error occurred: {error}')
df.to_pickle('out.pkl')
fig = px.timeline(df, x_start="start", x_end="end", y="name")
fig.update_yaxes(autorange="reversed") # otherwise tasks are listed from the bottom up
fig.show()
if __name__ == '__main__':
main()