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import base64
import json
import logging
import re
from concurrent.futures import ThreadPoolExecutor
from typing import Optional, List, Dict
import requests
from bs4 import BeautifulSoup
from models.models import Message, Attachment
from fastapi import WebSocket
from services import utils as ut
import asyncio
def get_company_type(company_name:str)->str:
company_types_dict ={'ao yun': 'wines and spirit', 'ardbeg': 'wines and spirit', 'belvedere': 'wines and spirit', 'bodega numanthia': 'wines and spirit', 'chandon': 'wines and spirit', 'château cheval blanc': 'wines and spirit', "château d'yquem": 'wines and spirit', 'château galoupet': 'wines and spirit', 'cheval des andes': 'wines and spirit', 'clos19': 'wines and spirit', 'cloudy bay': 'wines and spirit', 'colgin cellars': 'wines and spirit', 'dom pérignon': 'wines and spirit', 'domaine des lambrays': 'wines and spirit', 'eminente': 'wines and spirit', 'glenmorangie': 'wines and spirit', 'hennessy': 'wines and spirit', 'joseph phelps': 'wines and spirit', 'krug': 'wines and spirit', 'mercier': 'wines and spirit', 'moët & chandon': 'wines and spirit', 'newton vineyard': 'wines and spirit', 'ruinart': 'wines and spirit', 'terrazas de los andes': 'wines and spirit', 'veuve clicquot': 'wines and spirit', 'volcan de mi tierra': 'wines and spirit', 'woodinville': 'wines and spirit' , 'berluti': 'Fashion & Leather Goods', 'celine': 'Fashion & Leather Goods', 'christian dior': 'Fashion & Leather Goods', 'emilio pucci': 'Fashion & Leather Goods', 'fendi': 'Fashion & Leather Goods', 'givenchy': 'Fashion & Leather Goods', 'kenzo': 'Fashion & Leather Goods', 'loewe': 'Fashion & Leather Goods', 'loro piana': 'Fashion & Leather Goods', 'louis vuitton': 'Fashion & Leather Goods', 'marc jacobs': 'Fashion & Leather Goods', 'moynat': 'Fashion & Leather Goods', 'patou': 'Fashion & Leather Goods', 'rimowa': 'Fashion & Leather Goods','acqua di parma': 'Perfumes & Cosmetics', 'benefit cosmetics': 'Perfumes & Cosmetics', 'cha ling': 'Perfumes & Cosmetics', 'fenty beauty by rihanna': 'Perfumes & Cosmetics', 'fresh': 'Perfumes & Cosmetics', 'givenchy parfums': 'Perfumes & Cosmetics', 'guerlain': 'Perfumes & Cosmetics', 'kenzo parfums': 'Perfumes & Cosmetics', 'kvd beauty': 'Perfumes & Cosmetics', 'loewe perfumes': 'Perfumes & Cosmetics', 'maison francis kurkdjian': 'Perfumes & Cosmetics', 'make up for ever': 'Perfumes & Cosmetics', 'officine universelle buly': 'Perfumes & Cosmetics', 'olehenriksen': 'Perfumes & Cosmetics', 'parfums christian dior': 'Perfumes & Cosmetics', 'stella by stella mccartney': 'Perfumes & Cosmetics','bulgari': 'Watches & Jewelry', 'chaumet': 'Watches & Jewelry', 'fred': 'Watches & Jewelry', 'hublot': 'Watches & Jewelry', 'repossi': 'Watches & Jewelry', 'tag heuer': 'Watches & Jewelry', 'tiffany & co.': 'Watches & Jewelry', 'zenith': 'Watches & Jewelry','24s': 'Selective retailing', 'dfs': 'Selective retailing', 'la grande epicerie de paris': 'Selective retailing', 'le bon marché rive gauche': 'Selective retailing', 'sephora': 'Selective retailing','belmond': 'Other activities', 'cheval blanc': 'Other activities', 'connaissance des arts': 'Other activities', 'cova': 'Other activities', 'investir': 'Other activities', "jardin d'acclimatation": 'Other activities', 'le parisien': 'Other activities', 'les echos': 'Other activities', 'radio classique': 'Other activities', 'royal van lent': 'Other activities'}
print(company_types_dict["louis vuitton"])
return company_types_dict.get(company_name.lower(), 'Others')
async def get_messages(code: str,websocket:WebSocket,brand_name: Optional[str] = None):
access_token = code
g_query = f'(subject:"your order" OR subject:receipts OR subject:receipt OR subject:aankoopbon OR subject:reçu OR subject:invoice OR subject:invoices OR category:purchases) has:attachment'
if brand_name is not None:
g_query = f'(subject:"your order" OR subject:receipts OR subject:receipt OR subject: aankoopbon OR subject:reçu OR subject:invoice OR subject:invoices OR category:purchases OR from:{brand_name}) AND subject:{brand_name} has:attachment'
page_token = None
messages = []
logging.info("Inside get messages")
def fetch_message_wrapper(message_data):
message_id = message_data.get("id")
if message_id:
return fetch_message_data(access_token, message_id)
return None
while True:
gmail_url = f"https://www.googleapis.com/gmail/v1/users/me/messages?q={g_query}"
if page_token:
gmail_url += f"&pageToken={page_token}"
gmail_response = requests.get(gmail_url, headers={"Authorization": f"Bearer {access_token}"})
gmail_data = gmail_response.json()
print(len(gmail_data))
print(gmail_data)
if "messages" in gmail_data:
with ThreadPoolExecutor(max_workers=15) as executor:
futures=[executor.submit(fetch_message_wrapper, message_data) for message_data in
gmail_data["messages"]]
for future in futures:
message = future.result()
if message:
messages.append(message)
for message_data in messages:
await process_message(message_data,websocket,10000)
if "nextPageToken" in gmail_data:
page_token = gmail_data["nextPageToken"]
else:
break
print("printing messages")
print(messages)
return messages
async def process_message(message:Message, websocket:WebSocket, chunk_size:int):
logging.info("process_message")
if message:
message_json = message.to_json()
logging.info(f"{message_json}")
await send_message_in_chunks(websocket, message_json, chunk_size)
await websocket.send_text("NEXT_MESSAGE")
def fetch_message_data(access_token: str, message_id: str) -> Message:
message_url = f"https://www.googleapis.com/gmail/v1/users/me/messages/{message_id}"
message_response = requests.get(message_url, headers={"Authorization": f"Bearer {access_token}"})
message_data = message_response.json()
# print(message_data)
subject = extract_subject_from_mail(message_data)
company_from_mail = extract_domain_name(message_data['payload']['headers'], subject)
# body = extract_body_from_mail(message_data)
attachments,structed_attachment_data = extract_attachments_from_mail(access_token, message_data)
# high_level_company_type = get_company_type(company_from_mail)
# structed_attachment_data = extract_json_from_attachments(access_token , message_data)
# print("subject: ")
# print(subject)
# print("company name: ")
# print(company_from_mail)
# print("Printing the body of the mail: ")
# print(body)
# print("Printing attachment Data: ")
# print(attachments)
# print("Completed this mail.")
return Message(message_id=message_id,company=company_from_mail,structured_data = structed_attachment_data)
def extract_subject_from_mail(message_data: dict) -> str:
if 'payload' in message_data and 'headers' in message_data['payload']:
headers = message_data['payload']['headers']
for header in headers:
if header['name'] == 'Subject':
return header['value']
return ""
else:
return ""
def extract_domain_name(payload: dict, subject: str) -> str:
domain_name = 'others'
for fromdata in payload:
if fromdata['name'] == 'From':
domain_name = extract_domain_from_email(fromdata['value'])
break
if 'chanel' in subject.lower():
return 'chanel'
if 'louis vuitton' in subject.lower():
return 'Louis Vuitton'
return domain_name
def extract_domain_from_email(email_string: str) -> Optional[str]:
email_address = re.search(r'[\w\.-]+@[\w\.-]+', email_string).group()
domain = email_address.split('@')[-1].split('.')[0]
if email_address and domain:
return domain
else:
return None
# def extract_body_from_mail(message_data: dict) -> str:
# body = None
# if "payload" in message_data and "parts" in message_data["payload"]:
# for part in message_data["payload"]["parts"]:
# if 'mimeType' in part and (part['mimeType'] == 'text/plain' or part['mimeType'] == 'text/html'):
# body_data = part['body'].get('data', '')
# body_base64 = base64.urlsafe_b64decode(body_data)
# body = extract_text(body_base64)
# return body
def extract_body_from_mail(message_data: dict) -> str:
body = None
if "payload" in message_data:
payload = message_data["payload"]
if "parts" in payload:
for part in payload["parts"]:
if 'mimeType' in part and (part['mimeType'] == 'text/plain' or part['mimeType'] == 'text/html'):
body_data = part['body'].get('data', '')
if body_data:
body_base64 = base64.urlsafe_b64decode(body_data)
body = extract_text(body_base64)
elif 'body' in payload:
body_data = payload['body'].get('data', '')
if body_data:
body_base64 = base64.urlsafe_b64decode(body_data)
body = extract_text(body_base64)
elif 'parts' in payload['body']:
for part in payload['body']['parts']:
if 'mimeType' in part and (part['mimeType'] == 'text/plain' or part['mimeType'] == 'text/html'):
body_data = part['body'].get('data', '')
if body_data:
body_base64 = base64.urlsafe_b64decode(body_data)
body = extract_text(body_base64)
if not body:
body = message_data.get('snippet', '')
return body
def fetch_attachment_data(access_token: str, message_id: str, attachment_id: str) -> Dict:
attachment_url = f"https://www.googleapis.com/gmail/v1/users/me/messages/{message_id}/attachments/{attachment_id}"
attachment_response = requests.get(attachment_url, headers={"Authorization": f"Bearer {access_token}"})
return attachment_response.json()
def extract_attachments_from_mail(access_token: str, message_data: dict) -> List[Attachment]:
attachments = []
structured_data = []
if "payload" in message_data and "parts" in message_data["payload"]:
for part in message_data["payload"]["parts"]:
if "body" in part and "attachmentId" in part["body"]:
attachment_id = part["body"]["attachmentId"]
attachment_data = fetch_attachment_data(access_token, message_data["id"], attachment_id)
filename = part.get("filename", "untitled.txt")
data = attachment_data.get("data", "")
raw_text=ut.extract_text_from_attachment(filename , data)
struct_data = ut.strcuture_document_data(raw_text)
if struct_data:
structured_data.append(struct_data)
attachments.append(Attachment(attachment_len = len(attachment_data.get("data", "")),filename=filename, data=attachment_data.get("data", "")))
return attachments,structured_data
def extract_text(html_content: str) -> str:
if not html_content:
raise ValueError("HTML content is empty or None")
soup = BeautifulSoup(html_content, 'html.parser')
text = soup.get_text(separator=' ')
text = re.sub(r'\s+', ' ', text).strip()
return text
async def websocket_main(code: str, websocket: WebSocket,brand_name: Optional[str] = None):
access_token = code
# messages = get_messages(access_token,websocket,brand_name)
logging.info("access_token")
logging.info(access_token)
await websocket.send_text(access_token)
try:
await get_messages(access_token,websocket,brand_name)
# await websocket.send_text("completed execution of get_messages")
except Exception as e:
print("fucntion not called")
logging.info("function not called")
print(e)
logging.info(e)
# print(messages)
# # logging.info(f"brand_name:{brand_name}")
# await websocket.send_json({"total_messages": len(messages)})
# print("Total Length of messages")
# print(len(messages))
# chunk_size = 100000
# i=0
# for message in messages:
# message_json = message.to_json()
# logging.info(f"{i} th message")
# i=i+1
# await send_message_in_chunks(websocket, message_json, chunk_size)
# await websocket.send_text("NEXT_MESSAGE")
# await websocket.send_text("calling websocket.close()")
await websocket.close()
async def send_message_in_chunks(websocket: WebSocket, message_json: dict, chunk_size: int):
# if message_json['attachments'] is not None :
# for attch in message_json['attachments']:
# attachment_len = attch['attachment_len']
# print(body_len)
# print(attachment_len)
# if attachment_len == 0:
# attachment_len = None
# await websocket.send_json({"body_len":body_len ,"attachment_len":attachment_len})
message_str = json.dumps(message_json)
# print("Printing message_str")
# print(message_str)
# logging.info(message_str)
# await websocket.send_json({"file_len":len(file)})
for i in range(0, len(message_str), chunk_size):
await websocket.send_text(message_str[i:i + chunk_size])
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