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from fastapi import FastAPI, HTTPException, UploadFile, File, Request, BackgroundTasks, Form
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from httpx import Timeout
import httpx
import logging
import base64
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
import json
from datetime import datetime
import pytz
from typing import List, Optional, Dict
from google.oauth2 import service_account
from googleapiclient.discovery import build
from io import BytesIO
import google.generativeai as genai
import os
import requests
from google.cloud import vision
import aiohttp
from typing import Tuple
# start application
app = FastAPI()
# allow all origins
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Allows all origins
allow_credentials=True, # Allows credentials (such as cookies) to be sent with requests
allow_methods=["*"], # Allows all methods
allow_headers=["*"], # Allows all headers
)
# set up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logging.info("Application starting up")
request_timeout = Timeout(1000.0, connect=600.0)
# set up firebase
# Load Firebase configuration from a file
with open('/app/secrets/fb_secret.json', 'r') as f:
firebase_configuration = json.load(f)
firebase_credentials = credentials.Certificate(firebase_configuration)
firebase_admin.initialize_app(firebase_credentials, {
'projectId': firebase_configuration['project_id'],
})
firestore_db = firestore.client()
users_collection_ref = firestore_db.collection('users')
transactions_collection_ref = firestore_db.collection('transactions')
SCOPES = ['https://www.googleapis.com/auth/spreadsheets','https://www.googleapis.com/auth/drive']
with open('/app/secrets/openai_key.txt', 'r') as f:
OPENAI_KEY = f.read()
APICredential = service_account.Credentials.from_service_account_file(
'/app/secrets/googleapi_secret.json', scopes=SCOPES)
sheet_service = build('sheets', 'v4', credentials=APICredential)
drive_service = build('drive', 'v3', credentials=APICredential)
with open('/app/secrets/gemini_key.txt', 'r') as f:
api_key = f.read()
genai.configure(api_key=api_key)
# Create the model
generation_config = {
"temperature": 1,
"top_p": 0.95,
"top_k": 64,
"max_output_tokens": 8192,
"response_mime_type": "application/json",
}
model = genai.GenerativeModel(
model_name="gemini-1.5-flash",
generation_config=generation_config,
# safety_settings = Adjust safety settings
# See https://ai.google.dev/gemini-api/docs/safety-settings
)
# first three are "๋ฑ๋ก์ผ์", "์ธ๋ค์ผ", "๋ฐ๋ก๊ฐ๊ธฐ",
receipt_sheet_headers = ['๋ฐํ์ผ', '์ํธ', '์ฌ์
์๋ฒํธ', 'ํฉ๊ณ๊ธ์ก', '๋ด์ญ', '์นด๋๋ฒํธ', '์นด๋์ข
๋ฅ', '์น์ธ๋ฒํธ', '๊ธฐํ']
# at index 1 '๋ฑ๋ก ์ผ์', at last index '๋ช
ํจ๋ณด๊ธฐ'
business_card_sheet_headers = ['์ด๋ฆ', 'ํ์ฌ๋ช
', '์์ ๋ฐ ์ง์', '์ฃผ์', '์ ํ' ,'ํด๋ํฐ', 'ํฉ์ค','e-mail','ํํ์ด์ง']
sms_sheet_headers = ['๋ ์ง', '๊ณ์ข', '์
๊ธ', '์ถ๊ธ', '์์ก', '๋ฌธ์']
contact_sheet_headers = ['์ด๋ฆ', '์ ํ๋ฒํธ1', '์ ํ๋ฒํธ2', '์ ํ๋ฒํธ3', '์ด๋ฉ์ผ์ฃผ์1', '์ด๋ฉ์ผ์ฃผ์2', '์ด๋ฉ์ผ์ฃผ์3', '๊ทธ๋ฃน']
receipts_ss = 1395967745
business_cards_ss = 1733555840
contacts_ss = 1729750548
sms_ss = 1891574758
kst = pytz.timezone('Asia/Seoul')
class SheetUpdateRequest(BaseModel):
target_sheet_id: int
data: list
def convert_dicts_to_list(dicts: List[Dict], headers: List[str], add_link: bool = False,
image_id: str = '', link_text: str = '',
link_position: int = -1) -> List[List[str]]:
rows = []
# timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
timestamp = datetime.now(kst).strftime("%Y-%m-%d %H:%M:%S")
for dict_item in dicts:
# row = list(dict_item.values())
# row = [str(value) for value in dict_item.values()]
row = [str(dict_item.get(header, '')) for header in headers]
# Always add timestamp to the first index
row.insert(0, timestamp)
if add_link:
# Ensure the list length is at least 9
while len(row) < 9:
row.append('')
if link_position == -1: # Append link at the end
row.append(f'=HYPERLINK("https://drive.google.com/file/d/{image_id}/view?usp=sharing", "{link_text}")')
else:
row.insert(link_position, f'=HYPERLINK("https://drive.google.com/file/d/{image_id}/view?usp=sharing", "{link_text}")')
rows.append(row)
# print(rows)
return rows
async def download_file_from_drive(file_id: str) -> Tuple[bytes, str]:
"""
Downloads a file from Google Drive using the file ID
and returns the file content as bytes and the MIME type.
"""
try:
# URL for downloading the file from Google Drive
url = f"https://drive.google.com/uc?export=download&id={file_id}"
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
if response.status == 200:
content = await response.read()
mime_type = response.headers.get('Content-Type', 'application/octet-stream')
return content, mime_type
else:
raise HTTPException(status_code=500, detail=f"Failed to download file, status code: {response.status}")
except Exception as e:
logging.error(f"Error downloading file from Drive: {e}")
raise HTTPException(status_code=500, detail="Failed to download file from Drive")
async def request_gpt4o_completion(image_id: str, user_credit: int):
try:
# Step 1: Download the image file from Google Drive
file_content, mime_type = await download_file_from_drive(image_id)
# Step 3: Get text data from the image using Google Cloud Vision
client = vision.ImageAnnotatorClient()
image = vision.Image(content=file_content)
response = client.text_detection(image=image)
texts = response.text_annotations
if response.error.message:
logging.error(f"Error in Google Cloud Vision API: {response.error.message}")
raise Exception(
"{}\nFor more info on error messages, check: "
"https://cloud.google.com/apis/design/errors".format(response.error.message)
)
# Extract all detected text
extracted_text = texts[0].description if texts else ""
# Step 4: Prepare the prompt for Gemini
prompt = f'''
#Direction
You are an employee of finance department of a company. For each task well done, you will be rewarded $1,000 bonus.
The boss has come to your office and gave you a task of transfering the content of receipts and business cards onto a google spreadsheet.
He hands you two things.
One, is a paper containing guideline and example.
Two, is an OCR text.
#Guideline
-strictly adhere to the given content of OCR text.
-it could be of receipt(s) or business card(s) but not both
-sort any other info that couldn't be classified as "๊ธฐํ"
-format the extracted information as a JSON object with two main keys: 'receipts' and 'busi_cards'.
-ensure the total number of receipts and business cards combined does not exceed 500.
#Example
##Receipts
Input
์์ฑ๋ง์ผ
์ฌ์
์๋ฒํธ: 727-27-01455
๋ํ์:ํ์ ์ฑ
์ฃผ
์: ๊ฒฝ๊ธฐ ์ํฅ์ ๋ฐฐ๊ณง3๋ก 96
์ ํ ๋ฒํธ: 031-431-1544
ํ๋งค์ผ: 24-02-23 20:10, ๊ธ์์ผ ๊ณ์ฐ๋:001
NO. ์ํ๋ช
๋จ๊ฐ ์๋ ๊ธ์ก
001 ๋ํ๋ฆฌ๋ฒ์ฏ
200092
1,000
1. 1,000 #
002 ์๋ฐฐ์ถ
200071
(#)๋ฉด์ธ๋ฌผํ:
ํฉ
๊ณ:
์ ์ฉ์นด๋์ง๋ถ:
โ
์นด๋์ ์ฉ์น์ธ
็ซ
1,800 1 1.800 #
2,800
2,800
2,800
๊ฐ๋งน์ ๋ช
์์ฑ๋ง์ผ
์นด๋๋ฒํธ
4673-09**-****-515*
์นด๋๋ช
: KB๊ตญ๋ฏผ์ฒดํฌ
์ ํ๋งค์
: KB๊ตญ๋ฏผ์นด๋ ๋ฌด์๋ช
: 00111521584
์น์ธ๊ธ์ก: 2,800
(์ผ์๋ถ)
์น์ธ๋ฒํธ: 30014507, ์ ํNo:201036
์ ์ถ VAN: JTNET-๋ฆฌ๋๊ธฐ
์ ์์น์ธ
๊ฐ์ฌํฉ๋๋ค.
๊ฑฐ๋NO:0223007835 ๊ณ์ฐ์: ๊ด๋ฆฌ์(001)
2502230078357
Output
๋ฐํ์ผ: 2024/02/23 20:10
์ํธ: ์์ฑ๋ง์ผ
์ฌ์
์๋ฒํธ: 727-27-01455
ํฉ๊ณ๊ธ์ก: 2,800
๋ด์ญ:
๋ํ๋ฆฌ๋ฒ์ฏ 1,000์ 1๊ฐ
์๋ฐฐ์ถ 1,800์ 1๊ฐ
์นด๋๋ฒํธ: 4673-09**-****-515*
์นด๋์ข
๋ฅ: KB๊ตญ๋ฏผ์ฒดํฌ
์น์ธ๋ฒํธ: 30014507
๊ธฐํ: ๋ํ์: ํ์ ์ฑ, ์ฃผ์: ๊ฒฝ๊ธฐ ์ํฅ์ ๋ฐฐ๊ณง3๋ก 96, ์ ํ ๋ฒํธ: 031-431-1544, ๋ฉด์ธ๋ฌผํ: 2,800, ํฉ๊ณ: 2,800, ์ ์ฉ์นด๋์ง๋ถ:2,800, ์ ํNo:201036, ์ ์ถ VAN: JTNET-๋ฆฌ๋๊ธฐ, ๊ฑฐ๋NO:0223007835 ๊ณ์ฐ์: ๊ด๋ฆฌ์(001)
##Business Cards
Input
๋ฐ์ฅ์
์์ดํ๋ฆฌ๋ง
ํ์ฅ/์ ์ฑ
์ฌ์
ํ
R&D์ฌ์
์ค
Over the MIRACLE
๊ฒฝ๊ธฐ๋ ํ์ฑ์ ์ ๋จ๋ฉด ๋ง๋
๋ก 98๋ฒ๊ธธ 55 10์ธต (์ฐ) 18523
Mobile 010-9582-0925
Tel (031) 000-0000
Fax (031) 000-0000
Email iprima@iprima.com
www.iprima.com
Output
์ด๋ฆ: ๋ฐ์ฅ์
ํ์ฌ๋ช
: ์์ดํ๋ฆฌ๋ง
์์ ๋ฐ ์ง์: ํ์ฅ/์ ์ฑ
์ฌ์
ํ R&D์ฌ์
์ค
์ฃผ์: ๊ฒฝ๊ธฐ๋ ํ์ฑ์ ์ ๋จ๋ฉด ๋ง๋
๋ก 98๋ฒ๊ธธ 55 (์ฐํธ๋ฒํธ) 18523
์ ํ: (031) 000-0000
ํด๋ํฐ: (031) 000-0000
ํฉ์ค: 010-0000-0000
e-mail: iprima@gmail.com
ํํ์ด์ง: www.iprima.com
๊ธฐํ: Over the MIRACLE
Image content: {extracted_text}
'''
logging.info("Prompt prepared for Gemini model: " + prompt)
# Generate content using the Gemini model
response = model.generate_content(
contents=[
prompt
]
)
# Check if the response has text content
if response.text:
logging.info("Parsing Gemini model response")
json_response = json.loads(response.text)
logging.info(f"JSON response parsed: {response.text}")
return json.dumps(json_response)
else:
logging.error("Gemini model did not return a text response")
raise Exception("Gemini model did not return a text response")
except Exception as e:
logging.error(f"Error in request_gpt4o_completion: {str(e)}")
raise HTTPException(status_code=500, detail=f"Failure: {str(e)}")
async def move_file_to_folder(file_id, current_parents, new_parents):
try:
# Ensure current_parents is a list of parent IDs
if not isinstance(current_parents, list):
current_parents = [current_parents]
if not isinstance(new_parents, list):
new_parents = [new_parents]
# Retrieve the existing parents to remove
file = drive_service.files().get(fileId=file_id, fields='parents').execute()
existing_parents = file.get('parents')
logging.info(f"Existing parents of the file {file_id}: {existing_parents}")
# Remove only the current parents
parents_to_remove = [parent for parent in current_parents if parent in existing_parents]
parents_to_add = [parent for parent in new_parents if parent not in existing_parents]
previous_parents = ",".join(parents_to_remove)
logging.info(f"Parents to remove: {parents_to_remove}")
logging.info(f"Parents to add: {parents_to_add}")
# Move the file to the new folders while keeping it in yungsoogi folder
if parents_to_add:
file = drive_service.files().update(
fileId=file_id,
addParents=",".join(parents_to_add),
removeParents=previous_parents,
fields='id, parents'
).execute()
logging.info(f"File {file_id} moved to new folders {new_parents}.")
else:
logging.info(f"File {file_id} already in the target folders {new_parents}.")
except Exception as e:
logging.error(f"Failed to move file {file_id} to new folders: {e}")
async def update_user_sheet(spreadsheet_id:str, sheet_name:str, data: List[List[str]], is_reset: Optional[bool] = False):
print(f"Spreadsheet ID: {spreadsheet_id}, Sheet Name: {sheet_name}, Data: {data}")
# Get all the sheets in the spreadsheet
sheet_metadata = sheet_service.spreadsheets().get(spreadsheetId=spreadsheet_id).execute()
sheets = sheet_metadata.get('sheets', '')
# Find the sheet by name
sheet = next((sheet for sheet in sheets if sheet['properties']['title'] == sheet_name), None)
if not sheet:
raise ValueError(f"Sheet '{sheet_name}' not found in the spreadsheet.")
sheet_id = sheet['properties']['sheetId']
# Rest of the function remains the same
no_of_rows = len(data)
no_of_cols = len(data[0])
if is_reset:
new_sheet_name = f"{sheet_name} {datetime.now(kst).strftime('%Y-%m-%d %H:%M')}"
duplicate_requests = [{
"duplicateSheet": {
"sourceSheetId": sheet_id,
"newSheetName": new_sheet_name
}
}]
duplicate_response = sheet_service.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet_id,
body={
'requests': duplicate_requests
}
).execute()
sheet_id = duplicate_response['replies'][0]['duplicateSheet']['properties']['sheetId']
sheet_name = new_sheet_name
# Insert new rows
requests = [
{
"updateSheetProperties": {
"properties": {
"sheetId": sheet_id,
"hidden": False
},
"fields": "hidden"
}
},
{
"insertDimension": {
"range": {
"sheetId": sheet_id,
"dimension": "ROWS",
"startIndex": 1,
"endIndex": no_of_rows + 1
},
"inheritFromBefore": False,
}
}]
response = sheet_service.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet_id,
body={
'requests': requests
}
).execute()
update_body = {
'values': data
}
start_column = 'A'
end_column = chr(ord(start_column) + no_of_cols - 1)
range_to_update = f'{sheet_name}!{start_column}2:{end_column}{no_of_rows + 1}'
result = sheet_service.spreadsheets().values().update(
spreadsheetId=spreadsheet_id,
range=range_to_update,
valueInputOption='USER_ENTERED',
body=update_body
).execute()
# Format the cells
for row_index, row in enumerate(data):
for col_index, cell_value in enumerate(row):
if cell_value.startswith('=HYPERLINK'):
color = {"red": 0, "green": 0, "blue": 1} # Blue for hyperlinks
else:
color = {"red": 0, "green": 0, "blue": 0} # Black for other text
requests = [
{
"repeatCell": {
"range": {
"sheetId": sheet_id,
"startRowIndex": row_index + 1,
"endRowIndex": row_index + 2,
"startColumnIndex": col_index,
"endColumnIndex": col_index + 1
},
"cell": {
"userEnteredFormat": {
"textFormat": {
"foregroundColor": color
}
}
},
"fields": "userEnteredFormat.textFormat.foregroundColor"
}
}
]
response = sheet_service.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet_id,
body={
'requests': requests
}
).execute()
async def copy_sms_sheet(phone_no: str, spreadsheet_id: str):
requests = [
{
"duplicateSheet": {
"sourceSheetId": sms_ss,
"newSheetName": 'SMS ' + phone_no
}
}
]
response = sheet_service.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet_id,
body={
'requests': requests
}
).execute()
print(response)
new_sheet_id = response['replies'][0]['duplicateSheet']['properties']['sheetId']
unhide_request = [{
"updateSheetProperties": {
"properties": {
"sheetId": new_sheet_id,
"hidden": False
},
"fields": "hidden"
}
}]
sheet_service.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet_id,
body={
'requests': unhide_request
}
).execute()
return new_sheet_id
async def update_fb_transaction(transaction_ref: firestore.DocumentReference, no_sms: Optional[int] = 0, no_contacts: Optional[int] = 0, no_receipts: Optional[int] = 0, no_business_cards: Optional[int] = 0):
try:
# Update the transaction
transaction_ref.update({
"no_sms": firestore.Increment(no_sms),
"no_contacts": firestore.Increment(no_contacts),
"no_receipts": firestore.Increment(no_receipts),
"no_business_cards": firestore.Increment(no_business_cards)
})
return {"status": "Success"}
except Exception as e:
logging.error(f"Error updating transaction: {e}")
return {"status": f"Error: {str(e)}"}
@app.post("/check-userdoc")
async def check_user_doc(user_id: str = Form(...)):
user_ref = users_collection_ref.document(user_id)
user = user_ref.get()
if user.exists:
return {"dbUserExists": True}
transaction_ref = transactions_collection_ref.document(user_id)
transaction = transaction_ref.get()
if not transaction.exists:
transaction_ref.set({
"no_sms": 0,
"no_contacts": 0,
"no_receipts": 0,
"no_business_cards": 0,
"purchased_credit": {
"image_detection": 100,
"sync_data": 500,
},
"uid": user_id,
})
return {"dbUserExists": False}
template_sheet_id = '1i5mrmlTs5sPWtx2mBtc_f-zm1D3x21r1T_77guki8_8'
@app.post("/edit-spreadsheet")
async def edit_spreadsheet(target_sheet_id: str = Form(...)):
try:
# Retrieve the target spreadsheet's metadata
target_spreadsheet = sheet_service.spreadsheets().get(spreadsheetId=target_sheet_id).execute()
# Collect all sheet IDs in the target spreadsheet
target_sheet_ids = [sheet['properties']['sheetId'] for sheet in target_spreadsheet.get('sheets', [])]
# Prepare batch update request to delete existing sheets
requests = []
for sheet_id in target_sheet_ids:
requests.append({
"deleteSheet": {
"sheetId": sheet_id
}
})
# Retrieve the template spreadsheet's metadata
template_spreadsheet = sheet_service.spreadsheets().get(spreadsheetId=template_sheet_id).execute()
# Iterate through each sheet in the template spreadsheet
for sheet in template_spreadsheet.get('sheets', []):
sheet_id = sheet['properties']['sheetId']
# Use the copyTo method to copy the sheet to the target spreadsheet
copy_request = sheet_service.spreadsheets().sheets().copyTo(
spreadsheetId=template_sheet_id,
sheetId=sheet_id,
body={"destinationSpreadsheetId": target_sheet_id}
)
copy_response = copy_request.execute()
# Get the copied sheet ID
copied_sheet_id = copy_response['sheetId']
# Rename the copied sheet to remove "Copy of"
copied_sheet_title = sheet['properties']['title'].replace("Copy of ", "")
rename_request = {
"updateSheetProperties": {
"properties": {
"sheetId": copied_sheet_id,
"title": copied_sheet_title
},
"fields": "title"
}
}
# Execute rename request
sheet_service.spreadsheets().batchUpdate(
spreadsheetId=target_sheet_id,
body={"requests": [rename_request]}
).execute()
logging.info(f"Sheet {sheet['properties']['title']} copied and renamed to {copied_sheet_title} in {target_sheet_id}.")
if requests:
# Execute batch update to delete sheets
batch_update_request = {"requests": requests}
sheet_service.spreadsheets().batchUpdate(
spreadsheetId=target_sheet_id,
body=batch_update_request
).execute()
logging.info(f"Deleted existing sheets in target spreadsheet {target_sheet_id}.")
logging.info(f"All sheets from template {template_sheet_id} copied to {target_sheet_id}.")
return {"message": "Spreadsheet copied successfully"}
except Exception as e:
logging.error(f"Failed to copy sheets: {e}")
return {"error": str(e)}
async def create_shortcut(file_id, parent_folder_id, name):
try:
file_metadata = {
'name': name,
'mimeType': 'application/vnd.google-apps.shortcut',
'parents': [parent_folder_id],
'shortcutDetails': {
'targetId': file_id
}
}
shortcut = drive_service.files().create(body=file_metadata, fields='id').execute()
return shortcut.get('id')
except Exception as e:
logging.error(f"Failed to create shortcut: {e}")
return None
async def update_user_sheets_and_folders(user_data, transaction_ref, transaction_data, image_id):
try:
parent_folders = [user_data['gDrive_metadata']['yungsoogi'], user_data['gDrive_metadata']['uploaded']]
dataJson = await request_gpt4o_completion(image_id, transaction_data['purchased_credit']['image_detection'])
if dataJson is None:
return {"error": "An error occurred while processing the image"}
data = json.loads(dataJson)
# Check if 'receipts' key exists and the length
found_receipt_no = len(data['receipts']) if 'receipts' in data else 0
found_business_cards_no = len(data['busi_cards']) if 'busi_cards' in data else 0
new_folder = None
secondary_folder = None
# timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
timestamp = datetime.now(kst).strftime("%Y-%m-%d %H:%M:%S")
# https://drive.google.com/file/d/1cFIA09PBqFjM8YvIz1D60p7HMGk1uBvo/view?usp=sharing
download_image_url = f"https://drive.google.com/uc?id={image_id}&export=download"
image_url = f"https://drive.google.com/file/d/{image_id}/view?usp=sharing"
# ์ด๋ฏธ์ง๋ฅผ ๋ณด์ฌ์ฃผ์ด์ผ ํ ๋ =image({image_url})๋ฅผ ์ฌ์ฉํ๊ณ ๊ฐ ์ ์๋ ๊ฒฝ๋ก๋ฅผ ๋ง๋ค๋๋ =HYPERLINK({image_url}, '๋ฐ๋ก๊ฐ๊ธฐ')๋ฅผ ์ฌ์ฉํ์ธ์.
# Determine the primary folder to move the image to and secondary folder for shortcut
if found_receipt_no > 0:
new_folder = user_data['gDrive_metadata']['receipts']
receipts_data = convert_dicts_to_list(
data['receipts'],
receipt_sheet_headers,
add_link=True,
image_id=image_id,
link_text="๋ฐ๋ก๊ฐ๊ธฐ",
link_position=1 # Link third
)
print(receipts_data)
await update_user_sheet(user_data['gDrive_metadata']['spreadsheet'], "์์์ฆ", receipts_data)
if found_business_cards_no > 0:
if new_folder is None:
new_folder = user_data['gDrive_metadata']['business_cards']
else:
secondary_folder = user_data['gDrive_metadata']['business_cards']
business_cards_data = convert_dicts_to_list(
data['busi_cards'],
business_card_sheet_headers,
add_link=True,
image_id=image_id,
link_text="๋ช
ํจ๋ณด๊ธฐ",
link_position=-1 # Link at the end
)
await update_user_sheet(user_data['gDrive_metadata']['spreadsheet'], "๋ช
ํจ", business_cards_data)
print(f"{found_receipt_no}, {found_business_cards_no}")
status = await update_fb_transaction(
transaction_ref,
no_receipts=found_receipt_no,
no_business_cards=found_business_cards_no
)
if status['status'] == "Success":
if new_folder:
await move_file_to_folder(image_id, parent_folders, [new_folder])
if secondary_folder:
await create_shortcut(image_id, secondary_folder, f"Shortcut to {image_id}")
return {"success": True}
else:
logging.error(f"Transaction update failed with status: {status['status']}")
return {"error": "An error has occurred while updating the transaction"}
except Exception as e:
logging.error(f"An error occurred: {e}")
# Move the image file to the error folder
await move_file_to_folder(image_id, parent_folders, [user_data['gDrive_metadata']['error']])
return {"error": str(e)}
@app.post("/process-image")
async def process_photo(background_tasks: BackgroundTasks, image_id: str = Form(...), user_id: str = Form(...)):
transaction_ref = transactions_collection_ref.document(user_id)
transaction = transaction_ref.get()
if not transaction.exists:
transaction_ref.set({
"no_sms": 0,
"no_contacts": 0,
"no_receipts": 0,
"no_business_cards": 0,
"purchased_credit": {
"image_detection": 100,
"sync_data": 500,
}
})
transaction = transaction_ref.get()
transaction_data = transaction.to_dict()
if transaction_data['no_receipts'] + transaction_data['no_business_cards'] >= transaction_data['purchased_credit']['image_detection']:
return {"error": "You have reached the limit of the number of items you can process. Please upgrade your plan."}
user_ref = users_collection_ref.document(user_id)
user = user_ref.get()
user_data = user.to_dict()
background_tasks.add_task(update_user_sheets_and_folders, user_data, transaction_ref, transaction_data, image_id)
return {"success": True}
@app.post("/sync-data")
async def process_photo(data_json: str = Form(...), user_id: str = Form(...)):
# print(data_json)
data: Dict[str, Any] = json.loads(data_json)
transaction_ref = transactions_collection_ref.document(user_id)
transaction = transaction_ref.get()
if not transaction.exists:
transaction_ref.set({
"no_sms": 0,
"no_contacts": 0,
"no_receipts": 0,
"no_business_cards": 0,
"purchased_credit": {
"image_detection": 100,
"sync_data": 500,
}
})
transaction = transaction_ref.get()
transaction_data = transaction.to_dict()
if transaction_data['no_contacts'] + transaction_data['no_sms'] >= transaction_data['purchased_credit']['sync_data']:
return {"error": "You have reached the limit of the number of items you can process. Please upgrade your plan."}
user_ref = users_collection_ref.document(user_id)
user = user_ref.get()
user_data = user.to_dict()
try:
if data['isContacts']:
await update_user_sheet(user_data['gDrive_metadata']['spreadsheet'], "์ฐ๋ฝ์ฒ", data['data'], True)
transaction_data['no_contacts'] += len(data['data'])
transaction_ref.update({'no_contacts': transaction_data['no_contacts']})
else:
if 'sms_ids' not in user_data:
print('No sms_ids')
user_data['sms_ids'] = {}
existing_phones = set(user_data.get('sms_ids', {}).keys())
new_phones = [phone['address'] for phone in data['data'] if phone['address'] not in existing_phones]
print(f"Existing phones: {existing_phones}")
for phone_address in new_phones:
new_sheet_id = await copy_sms_sheet(phone_address, user_data['gDrive_metadata']['spreadsheet'])
print(f"New sheet id: {new_sheet_id}")
user_data['sms_ids'][phone_address] = {'sheet_id': new_sheet_id, 'last_updated': "1970-01-01T00:00:00.000"}
print(user_data['sms_ids'])
updated_sms_count = 0
for phone in data['data']:
last_updated = user_data['sms_ids'][phone['address']]['last_updated']
print(f"Last updated: {last_updated}")
# Convert last_updated to datetime for comparison
last_updated_dt = datetime.fromisoformat(last_updated)
update_message = [sms for sms in phone['sms'] if datetime.fromisoformat(sms[0]) > last_updated_dt]
print(f"Update message: {update_message}")
if not update_message:
continue
sheet_id = user_data['sms_ids'][phone['address']]['sheet_id']
print(f"Sheet ID: {sheet_id}")
await update_user_sheet(user_data['gDrive_metadata']['spreadsheet'], sheet_id, 'SMS ' + phone['address'], update_message, False)
user_data['sms_ids'][phone['address']]['last_updated'] = phone['sms'][0][0]
updated_sms_count += len(update_message)
user_ref.update({'sms_ids': user_data['sms_ids']})
transaction_data['no_sms'] += updated_sms_count
transaction_ref.update({'no_sms': transaction_data['no_sms']})
return {"success": True}
except Exception as e:
logging.error(f"An error occurred: {e}")
return {"error": str(e)} |