File size: 12,543 Bytes
dae9b98 c609854 dae9b98 3139aea dae9b98 3139aea a990b85 dae9b98 c609854 3139aea c609854 dae9b98 c609854 dae9b98 c609854 dae9b98 c609854 dae9b98 c79be8a dae9b98 3139aea dae9b98 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 |
import os
import pickle
import base64
from google.auth.transport.requests import Request
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload, MediaIoBaseUpload, MediaIoBaseDownload
import io
from pathlib import Path
import logging
logger = logging.getLogger(__name__)
# --- CONFIGURATION ---
# Get credentials from environment variables
CLIENT_ID = os.getenv("GOOGLE_CLIENT_ID")
CLIENT_SECRET = os.getenv("GOOGLE_CLIENT_SECRET")
# Google Drive folder IDs
EXPORTS_FOLDER_ID = "1k5iP4egzLrGJwnHkMhxt9bAkaCiieojO" # For Excel exports
IMAGES_FOLDER_ID = "1gd280IqcAzpAFTPeYsZjoBUOU9S7Zx3c" # For business card images
# Scopes define the level of access you are requesting.
SCOPES = ['https://www.googleapis.com/auth/drive.file']
TOKEN_PICKLE_FILE = 'token.pickle'
def get_drive_service():
"""Authenticates with Google and returns a Drive service object."""
creds = None
# --- NEW CODE FOR DEPLOYMENT ENVIRONMENTS ---
# If token file doesn't exist, try to create it from environment variable
if not os.path.exists(TOKEN_PICKLE_FILE):
encoded_token = os.environ.get('GOOGLE_TOKEN_BASE64')
if encoded_token:
logger.info("Found token in environment variable. Recreating token.pickle file.")
try:
decoded_token = base64.b64decode(encoded_token)
with open(TOKEN_PICKLE_FILE, "wb") as token_file:
token_file.write(decoded_token)
logger.info("Successfully recreated token.pickle from environment variable")
except Exception as e:
logger.error(f"Failed to decode token from environment variable: {e}")
# --- END OF NEW CODE ---
# The file token.pickle stores the user's access and refresh tokens.
if os.path.exists(TOKEN_PICKLE_FILE):
with open(TOKEN_PICKLE_FILE, 'rb') as token:
creds = pickle.load(token)
# 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:
logger.info("Refreshing expired credentials")
creds.refresh(Request())
else:
if not CLIENT_ID or not CLIENT_SECRET:
raise ValueError("GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET environment variables are required")
logger.info("Starting OAuth flow for new credentials")
# Use client_config dictionary instead of a client_secret.json file
client_config = {
"installed": {
"client_id": CLIENT_ID,
"client_secret": CLIENT_SECRET,
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://oauth2.googleapis.com/token",
"redirect_uris": ["http://localhost"]
}
}
flow = InstalledAppFlow.from_client_config(client_config, SCOPES)
creds = flow.run_local_server(port=0)
# Save the credentials for the next run
with open(TOKEN_PICKLE_FILE, 'wb') as token:
pickle.dump(creds, token)
logger.info("Saved new credentials to token.pickle")
return build('drive', 'v3', credentials=creds)
def upload_file_to_drive(service, file_path=None, file_data=None, filename=None, folder_id=None, mimetype='application/octet-stream'):
"""
Uploads a file to a specific folder in Google Drive.
Args:
service: Google Drive service object
file_path: Path to local file (for file uploads)
file_data: Bytes data (for in-memory uploads)
filename: Name for the file in Drive
folder_id: ID of the target folder
mimetype: MIME type of the file
Returns:
dict: File information (id, webViewLink) or None if failed
"""
try:
if file_path and os.path.exists(file_path):
# Upload from local file
if not filename:
filename = os.path.basename(file_path)
media = MediaFileUpload(file_path, mimetype=mimetype, resumable=True)
logger.info(f"Uploading file from path: {file_path}")
elif file_data and filename:
# Upload from bytes data
file_io = io.BytesIO(file_data)
media = MediaIoBaseUpload(file_io, mimetype=mimetype, resumable=True)
logger.info(f"Uploading file from memory: {filename}")
else:
logger.error("Either file_path or (file_data + filename) must be provided")
return None
# Define the file's metadata
file_metadata = {
'name': filename,
'parents': [folder_id] if folder_id else []
}
logger.info(f"Uploading '{filename}' to Google Drive folder {folder_id}")
# Execute the upload request
file = service.files().create(
body=file_metadata,
media_body=media,
fields='id, webViewLink, name'
).execute()
logger.info(f"✅ File uploaded successfully!")
logger.info(f" File ID: {file.get('id')}")
logger.info(f" File Name: {file.get('name')}")
logger.info(f" View Link: {file.get('webViewLink')}")
return {
'id': file.get('id'),
'name': file.get('name'),
'webViewLink': file.get('webViewLink')
}
except Exception as e:
logger.error(f"Failed to upload file to Google Drive: {e}")
return None
def upload_excel_to_exports_folder(service, file_path=None, file_data=None, filename=None):
"""Upload Excel file to the exports folder."""
return upload_file_to_drive(
service,
file_path=file_path,
file_data=file_data,
filename=filename,
folder_id=EXPORTS_FOLDER_ID,
mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
)
def upload_image_to_images_folder(service, file_path=None, file_data=None, filename=None, mimetype='image/png'):
"""Upload image file to the images folder."""
return upload_file_to_drive(
service,
file_path=file_path,
file_data=file_data,
filename=filename,
folder_id=IMAGES_FOLDER_ID,
mimetype=mimetype
)
def list_files_in_folder(service, folder_id, max_results=100):
"""List files in a specific Google Drive folder."""
try:
query = f"'{folder_id}' in parents"
results = service.files().list(
q=query,
pageSize=max_results,
fields="files(id, name, size, createdTime, webViewLink)"
).execute()
files = results.get('files', [])
logger.info(f"Found {len(files)} files in folder {folder_id}")
return files
except Exception as e:
logger.error(f"Failed to list files in folder {folder_id}: {e}")
return []
def download_file_from_drive(service, file_id, file_path):
"""Download a file from Google Drive to local path."""
try:
request = service.files().get_media(fileId=file_id)
with open(file_path, 'wb') as local_file:
downloader = MediaIoBaseDownload(local_file, request)
done = False
while done is False:
status, done = downloader.next_chunk()
logger.info(f"Successfully downloaded file {file_id} to {file_path}")
return True
except Exception as e:
logger.error(f"Failed to download file {file_id}: {e}")
return False
def delete_file_from_drive(service, file_id):
"""Delete a file from Google Drive."""
try:
service.files().delete(fileId=file_id).execute()
logger.info(f"Successfully deleted file {file_id} from Google Drive")
return True
except Exception as e:
logger.error(f"Failed to delete file {file_id}: {e}")
return False
def get_existing_cumulative_file(service):
"""Find and return the existing cumulative Excel file from exports folder."""
try:
exports_files = list_files_in_folder(service, EXPORTS_FOLDER_ID)
cumulative_files = []
for file in exports_files:
if file['name'] == 'all_business_cards_total.xlsx':
cumulative_files.append(file)
if cumulative_files:
logger.info(f"Found {len(cumulative_files)} cumulative files")
# Return the most recent one (by creation time)
most_recent = max(cumulative_files, key=lambda x: x['createdTime'])
logger.info(f"Most recent cumulative file: {most_recent['name']} (ID: {most_recent['id']})")
return most_recent
else:
logger.info("No existing cumulative file found")
return None
except Exception as e:
logger.error(f"Failed to get existing cumulative file: {e}")
return None
def cleanup_duplicate_cumulative_files(service):
"""Remove duplicate cumulative files, keeping only the most recent one."""
try:
exports_files = list_files_in_folder(service, EXPORTS_FOLDER_ID)
cumulative_files = []
for file in exports_files:
if file['name'] == 'all_business_cards_total.xlsx':
cumulative_files.append(file)
if len(cumulative_files) > 1:
logger.info(f"Found {len(cumulative_files)} duplicate cumulative files, cleaning up...")
# Sort by creation time and keep the most recent one
cumulative_files.sort(key=lambda x: x['createdTime'], reverse=True)
files_to_delete = cumulative_files[1:] # All except the most recent
for file in files_to_delete:
logger.info(f"Deleting duplicate file: {file['name']} (ID: {file['id']})")
delete_file_from_drive(service, file['id'])
logger.info(f"Cleaned up {len(files_to_delete)} duplicate files")
return len(files_to_delete)
else:
logger.info("No duplicate cumulative files found")
return 0
except Exception as e:
logger.error(f"Failed to cleanup duplicate files: {e}")
return 0
def cleanup_old_current_run_files(service, keep_count=5):
"""Clean up old current run files, keeping only the most recent ones."""
try:
exports_files = list_files_in_folder(service, EXPORTS_FOLDER_ID)
current_run_files = []
for file in exports_files:
if file['name'].startswith('current_run_') and file['name'].endswith('.xlsx'):
current_run_files.append(file)
if len(current_run_files) > keep_count:
logger.info(f"Found {len(current_run_files)} current run files, keeping {keep_count} most recent...")
# Sort by creation time and keep the most recent ones
current_run_files.sort(key=lambda x: x['createdTime'], reverse=True)
files_to_delete = current_run_files[keep_count:] # All except the most recent ones
for file in files_to_delete:
logger.info(f"Deleting old current run file: {file['name']} (ID: {file['id']})")
delete_file_from_drive(service, file['id'])
logger.info(f"Cleaned up {len(files_to_delete)} old current run files")
return len(files_to_delete)
else:
logger.info(f"Found {len(current_run_files)} current run files, no cleanup needed")
return 0
except Exception as e:
logger.error(f"Failed to cleanup old current run files: {e}")
return 0
if __name__ == '__main__':
# Test the Google Drive connection
try:
drive_service = get_drive_service()
logger.info("Google Drive service initialized successfully")
# List files in both folders to verify access
exports_files = list_files_in_folder(drive_service, EXPORTS_FOLDER_ID)
images_files = list_files_in_folder(drive_service, IMAGES_FOLDER_ID)
print(f"Exports folder contains {len(exports_files)} files")
print(f"Images folder contains {len(images_files)} files")
except Exception as e:
logger.error(f"Failed to initialize Google Drive: {e}") |