from fastapi import FastAPI, HTTPException, BackgroundTasks, Depends, Header, status from fastapi.middleware.cors import CORSMiddleware from fastapi.security import APIKeyHeader from pydantic import BaseModel, EmailStr, Field from typing import Optional, Tuple from enum import Enum import os import base64 import pickle import pandas as pd from dotenv import load_dotenv from langchain_openai import ChatOpenAI from langchain.schema import HumanMessage, SystemMessage from email.mime.text import MIMEText 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 from datetime import datetime import json # Load environment variables (not needed on Hugging Face, but harmless) load_dotenv() # ------------------------------------------ # Security Configuration # ------------------------------------------ API_PASSWORD = os.getenv("API_PASSWORD", "Synapse@2025") # Can be overridden by env var api_key_header = APIKeyHeader(name="X-API-Key", auto_error=False) def verify_api_key(api_key: Optional[str] = Depends(api_key_header)) -> str: """ Verify the API key/password provided in the request header. """ if api_key is None: raise HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="API Key required. Please provide X-API-Key header.", headers={"WWW-Authenticate": "ApiKey"}, ) if api_key != API_PASSWORD: raise HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid API Key", headers={"WWW-Authenticate": "ApiKey"}, ) return api_key # ------------------------------------------ # Helper: Write GOOGLE_CREDENTIALS_JSON to file if needed # ------------------------------------------ def ensure_credentials_file(): credentials_env = os.getenv("GOOGLE_CREDENTIALS_JSON") credentials_path = "credentials_SYNAPSE.json" if not os.path.exists(credentials_path): if not credentials_env: raise Exception("GOOGLE_CREDENTIALS_JSON not found in environment variables.") try: parsed_json = json.loads(credentials_env) except json.JSONDecodeError: raise Exception("Invalid JSON in GOOGLE_CREDENTIALS_JSON") with open(credentials_path, "w") as f: json.dump(parsed_json, f, indent=2) return credentials_path # ------------------------------------------ # FastAPI app # ------------------------------------------ app = FastAPI(title="Recruitment Message Generator API", version="1.0.0") app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) SCOPES = ["https://www.googleapis.com/auth/gmail.send"] openai_api_key = os.getenv("OPENAI_API_KEY") # ------------------------------------------ # Enums and Models # ------------------------------------------ class MessageType(str, Enum): OUTREACH = "outreach" INTRODUCTORY = "introductory" FOLLOWUP = "followup" class GenerateMessageRequest(BaseModel): job_evaluation: Optional[str] = Field(None, description="(Optional) Recruiter's evaluation of candidate for the job") sender_email: EmailStr reply_to_email: Optional[EmailStr] = Field(None, description="Recruiter's email for reply-to header") recipient_email: EmailStr candidate_name: str current_role: str current_company: str company_name: str role: str recruiter_name: str organisation: str message_type: MessageType send_email: bool = False past_conversation: Optional[str] = Field(None, description="(Optional) Previous messages with candidate") class FeedbackRequest(BaseModel): message: str feedback: str class AuthenticateRequest(BaseModel): email: EmailStr class AuthenticateResponse(BaseModel): success: bool message: str error: Optional[str] = None class MessageResponse(BaseModel): success: bool message: str email_sent: bool = False email_subject: Optional[str] = None error: Optional[str] = None class SendMessageRequest(BaseModel): subject: str email_body: str sender_email: EmailStr recipient_email: EmailStr reply_to_email: Optional[EmailStr] = None # ------------------------------------------ # Gmail Helper Functions # ------------------------------------------ def get_token_file_path(email: str) -> str: tokens_dir = "gmail_tokens" if not os.path.exists(tokens_dir): os.makedirs(tokens_dir) safe_email = email.replace("@", "_at_").replace(".", "_dot_") return os.path.join(tokens_dir, f"token_{safe_email}.pickle") def check_user_token_exists(email: str) -> bool: token_file = get_token_file_path(email) return os.path.exists(token_file) def load_user_credentials(email: str): token_file = get_token_file_path(email) if os.path.exists(token_file): try: with open(token_file, 'rb') as token: creds = pickle.load(token) return creds except Exception: if os.path.exists(token_file): os.remove(token_file) return None def save_user_credentials(email: str, creds): token_file = get_token_file_path(email) with open(token_file, 'wb') as token: pickle.dump(creds, token) def create_new_credentials(email: str): credentials_path = ensure_credentials_file() flow = InstalledAppFlow.from_client_secrets_file( credentials_path, SCOPES ) creds = flow.run_local_server(port=0) save_user_credentials(email, creds) return creds def authenticate_gmail(email: str, create_if_missing: bool = False): creds = load_user_credentials(email) if creds: if creds.expired and creds.refresh_token: try: creds.refresh(Request()) save_user_credentials(email, creds) except Exception: if create_if_missing: try: creds = create_new_credentials(email) except: return None else: return None elif not creds.valid: creds = None if not creds: if create_if_missing: try: creds = create_new_credentials(email) except: return None else: return None try: service = build("gmail", "v1", credentials=creds) return service except Exception: return None from email.mime.text import MIMEText def create_email_message(sender: str, to: str, subject: str, message_text: str, reply_to: Optional[str] = None, is_html: bool = False): if is_html: message = MIMEText(message_text, "html") else: message = MIMEText(message_text, "plain") message["To"] = to message["From"] = sender message["Subject"] = subject if reply_to: message["Reply-To"] = reply_to raw_message = base64.urlsafe_b64encode(message.as_bytes()).decode() return {"raw": raw_message} def send_gmail_message(service, user_id: str, message: dict): try: result = service.users().messages().send(userId=user_id, body=message).execute() return result is not None except HttpError: return False # ------------------------------------------ # LLM (OpenAI) Message Generation Helpers # ------------------------------------------ def refine_message_with_feedback( original_message: str, feedback: str, ) -> Tuple[str, str]: api_key = os.getenv("OPENAI_API_KEY") llm = ChatOpenAI( model="gpt-4o-mini", temperature=0.7, max_tokens=600, openai_api_key=api_key ) prompt = f""" Please refine the following recruitment message based on the provided feedback: ORIGINAL MESSAGE: {original_message} FEEDBACK: {feedback} Please provide your response in the following format: SUBJECT: [Your subject line here] BODY: [Your refined email body content here] Keep the same tone and intent as the original message, but incorporate the feedback to improve it. """ try: messages = [ SystemMessage(content="You are a professional recruitment message writer. Refine the given message based on feedback while maintaining professionalism and the original intent."), HumanMessage(content=prompt) ] response = llm.invoke(messages) content = response.content.strip() subject_line = "" body_content = "" lines = content.split('\n') body_found = False body_lines = [] for line in lines: if line.strip().startswith('SUBJECT:'): subject_line = line.replace('SUBJECT:', '').strip() elif line.strip().startswith('BODY:'): body_found = True elif body_found and line.strip(): body_lines.append(line) body_content = '\n'.join(body_lines).strip() if not subject_line: subject_line = "Recruitment Opportunity - Updated" if not body_content: body_content = content return subject_line, body_content except Exception as e: raise HTTPException(status_code=500, detail=f"Error refining message: {str(e)}") def generate_recruitment_message_with_subject( msg_type: str, company: str, role_title: str, recruiter: str, org: str, candidate: str, current_pos: str, evaluation: Optional[str] = None, feedback: Optional[str] = None, past_conversation: Optional[str] = None ) -> Tuple[str, str]: api_key = os.getenv("OPENAI_API_KEY") llm = ChatOpenAI( model="gpt-4o-mini", temperature=0.7, max_tokens=600, openai_api_key=api_key ) # Outreach: Only request consent if msg_type == "outreach": prompt = f""" Generate a professional initial outreach message to a candidate. - Introduce yourself as {recruiter} from {org} - Clearly state you are reaching out about an open role ({role_title}) at {company} - Ask if they are open to learning more or interested in a quick chat. - Do NOT discuss any job evaluation or judgment. - Explicitly request their consent to share more details. E.g., 'Would you be open to hearing more about this opportunity?' - Keep it short and friendly. - No placeholders like [Candidate Name] or [Role Title] in the output. """ else: base_prompt = f""" Generate a professional recruitment {msg_type} with the following details: - Company hiring: {company} - Role: {role_title} - Recruiter: {recruiter} from {org} - Candidate: {candidate} - Candidate's current position: {current_pos} """ if evaluation: base_prompt += f"- Evaluation: {evaluation}\n" prompt = base_prompt if msg_type == "introductory": prompt += """ Create an introductory message that: - Thanks the candidate for their initial response - Provides more details about the role and company - Explains why this opportunity aligns with their background - Suggests next steps (like a call or meeting) - Maintains a warm, professional tone - if in the Evaluation the verdict is rejected, Send a rejection message instead. """ else: # followup prompt += """ Create a follow-up message that: - References previous communication - Reiterates interest in the candidate - Addresses any potential concerns - Provides additional compelling reasons to consider the role - Includes a clear call to action """ # Use feedback if provided if feedback: prompt += f"\n\nPlease modify the message based on this feedback: {feedback}" # Use past conversation if provided if past_conversation: prompt += f""" Use the following past conversation as context to inform your reply: PAST CONVERSATION: {past_conversation} Write a reply message to the candidate, maintaining professionalism and continuity. """ prompt += """ Please provide your response in the following format: SUBJECT: [Your subject line here] BODY: [Your email body content here] """ try: messages = [ SystemMessage(content="You are a professional recruitment message writer. Generate both an email subject line and body content. Follow the exact format requested."), HumanMessage(content=prompt) ] response = llm.invoke(messages) content = response.content.strip() subject_line = "" body_content = "" lines = content.split('\n') body_found = False body_lines = [] for line in lines: if line.strip().startswith('SUBJECT:'): subject_line = line.replace('SUBJECT:', '').strip() elif line.strip().startswith('BODY:'): body_found = True elif body_found and line.strip(): body_lines.append(line) body_content = '\n'.join(body_lines).strip() if not subject_line: subject_line = f"Opportunity at {company} - {role_title}" if not body_content: body_content = content return subject_line, body_content except Exception as e: raise HTTPException(status_code=500, detail=f"Error generating message: {str(e)}") def format_email_html(body: str, sender_name: Optional[str]=None, sender_org: Optional[str]=None): """Wrap plain text body in an HTML template for better appearance.""" # Convert consecutive line breaks into HTML paragraphs import re # Smart paragraphing body = re.sub(r"\n\s*\n", "
", body.strip()) # Double newlines => new paragraph
body = re.sub(r"\n", "
", body) # Single newlines =>
# Optional signature
signature = ""
if sender_name or sender_org:
signature = "
Best regards,
"
if sender_name:
signature += f"{sender_name}
"
if sender_org:
signature += f"{sender_org}"
html = f"""
{body}
{signature} """ return html # ------------------------------------------ # FastAPI Endpoints # ------------------------------------------ @app.get("/") async def root(): """Root endpoint - public access""" return { "message": "Recruitment Message Generator API", "version": "1.0.0", "authentication": "Required for all endpoints except / and /health", "auth_header": "X-API-Key", "endpoints": [ "/generate-message", "/refine-message", "/authenticate", "/send-message", "/docs" ] } @app.post("/send-message", response_model=MessageResponse, dependencies=[Depends(verify_api_key)]) async def send_message(request: SendMessageRequest): try: # Authenticate sender service = authenticate_gmail(request.sender_email) if not service: return MessageResponse( success=False, message="", error="Gmail authentication failed" ) formatted_html = format_email_html( request.email_body ) # Create the email email_message = create_email_message( sender=request.sender_email, to=request.recipient_email, subject=request.subject, message_text=formatted_html, reply_to=request.reply_to_email, is_html=True ) # Send the email email_sent = send_gmail_message(service, "me", email_message) if email_sent: return MessageResponse( success=True, message="Email sent successfully.", email_sent=True, email_subject=request.subject ) else: return MessageResponse( success=False, message="", email_sent=False, email_subject=request.subject, error="Failed to send via Gmail API" ) except Exception as e: return MessageResponse( success=False, message="", error=str(e) ) @app.post("/generate-message", response_model=MessageResponse, dependencies=[Depends(verify_api_key)]) async def generate_message(request: GenerateMessageRequest, background_tasks: BackgroundTasks): try: current_position = f"{request.current_role} at {request.current_company}" email_subject, generated_message = generate_recruitment_message_with_subject( msg_type=request.message_type.value.replace('followup', 'follow-up'), company=request.company_name, role_title=request.role, recruiter=request.recruiter_name, org=request.organisation, candidate=request.candidate_name, current_pos=current_position, evaluation=request.job_evaluation, past_conversation=request.past_conversation ) email_sent = False if request.send_email: registered_users = [] if os.path.exists("registered_users.csv"): df = pd.read_csv("registered_users.csv") registered_users = df['email'].tolist() if 'email' in df.columns else [] if request.sender_email.lower() not in [user.lower() for user in registered_users]: return MessageResponse( success=True, message=generated_message, email_sent=False, email_subject=email_subject, error="Email not sent: Sender email is not registered" ) service = authenticate_gmail(request.sender_email) if service: formatted_html = format_email_html( generated_message, sender_name=request.recruiter_name, sender_org=request.organisation ) email_message = create_email_message( sender=request.sender_email, to=request.recipient_email, subject=email_subject, message_text=formatted_html, reply_to=request.reply_to_email, is_html=True ) email_sent = send_gmail_message(service, "me", email_message) if not email_sent: return MessageResponse( success=True, message=generated_message, email_sent=False, email_subject=email_subject, error="Email not sent: Failed to send via Gmail API" ) else: return MessageResponse( success=True, message=generated_message, email_sent=False, email_subject=email_subject, error="Email not sent: Gmail authentication failed" ) return MessageResponse( success=True, message=generated_message, email_sent=email_sent, email_subject=email_subject ) except Exception as e: return MessageResponse( success=False, message="", error=str(e) ) @app.post("/refine-message", response_model=MessageResponse, dependencies=[Depends(verify_api_key)]) async def refine_message(request: FeedbackRequest): try: email_subject, refined_message = refine_message_with_feedback( original_message=request.message, feedback=request.feedback ) return MessageResponse( success=True, message=refined_message, email_sent=False, email_subject=email_subject ) except Exception as e: return MessageResponse( success=False, message="", error=str(e) ) @app.post("/authenticate", response_model=AuthenticateResponse, dependencies=[Depends(verify_api_key)]) async def authenticate_user(request: AuthenticateRequest): try: if check_user_token_exists(request.email): service = authenticate_gmail(request.email, create_if_missing=False) if service: return AuthenticateResponse( success=True, message="User already authenticated and token is valid" ) else: service = authenticate_gmail(request.email, create_if_missing=True) if service: return AuthenticateResponse( success=True, message="Token refreshed successfully" ) else: return AuthenticateResponse( success=False, message="Failed to refresh token", error="Could not refresh existing token. Please check credentials.json" ) else: try: creds = create_new_credentials(request.email) if creds: return AuthenticateResponse( success=True, message="Authentication successful. Token created and saved." ) else: return AuthenticateResponse( success=False, message="Authentication failed", error="Failed to create credentials" ) except Exception as e: return AuthenticateResponse( success=False, message="Authentication failed", error=str(e) ) except Exception as e: return AuthenticateResponse( success=False, message="Authentication error", error=str(e) ) @app.get("/health") async def health_check(): """Health check endpoint - public access""" return {"status": "healthy", "timestamp": datetime.utcnow().isoformat()} # Protected documentation endpoint @app.get("/docs", dependencies=[Depends(verify_api_key)]) async def get_documentation(): """This will be handled by FastAPI's built-in docs""" pass if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=8000)