| import os
|
|
|
| from fastapi import FastAPI, UploadFile, File
|
|
|
| from FraudDetectionAgent import CodeAgent
|
|
|
| app = FastAPI()
|
|
|
|
|
| @app.post("/detect-fraud/")
|
| async def detect_fraud(file: UploadFile = File(...)):
|
| contents = await file.read()
|
| temp_path = "temp_transactions.csv"
|
|
|
| with open(temp_path, "wb") as f:
|
| f.write(contents)
|
|
|
| agent = CodeAgent(data_path=temp_path)
|
| frauds = agent.run()
|
|
|
| os.remove(temp_path)
|
| return {"flagged_transactions": frauds}
|
|
|
|
|
| from fastapi import FastAPI, UploadFile, File
|
| from pydantic import BaseModel
|
| from FraudDetectionAgent import FraudDetectionAgent
|
| import pandas as pd
|
| import os
|
|
|
| app = FastAPI()
|
|
|
|
|
|
|
| class ChatMessage(BaseModel):
|
| message: str
|
|
|
|
|
| @app.post("/chat/")
|
| def chat_with_agent(msg: ChatMessage):
|
| user_input = msg.message.lower()
|
|
|
| if "fraud" in user_input:
|
| return {"response": "You can upload a CSV file at /detect-fraud/ to check for fraudulent transactions."}
|
| elif "hello" in user_input or "hi" in user_input:
|
| return {"response": "Hello! I can help you detect transaction frauds. Ask me how."}
|
| else:
|
| return {"response": "I'm still learning! Try asking about fraud detection or uploading a CSV."}
|
|
|
|
|
| @app.post("/detect-fraud/")
|
| async def detect_fraud(file: UploadFile = File(...)):
|
| contents = await file.read()
|
| temp_path = "temp_transactions.csv"
|
| with open(temp_path, "wb") as f:
|
| f.write(contents)
|
|
|
| agent = FraudDetectionAgent(data_path=temp_path)
|
| frauds = agent.run()
|
| os.remove(temp_path)
|
| return {"flagged_transactions": [f.to_dict() for f in frauds]}
|
|
|
|
|
| from fastapi import FastAPI, UploadFile, File
|
| from fastapi.middleware.cors import CORSMiddleware
|
| from pydantic import BaseModel
|
| from FraudDetectionAgent import CodeAgent
|
| import pandas as pd
|
| import os
|
|
|
| app = FastAPI()
|
|
|
|
|
| app.add_middleware(
|
| CORSMiddleware,
|
| allow_origins=["*"],
|
| allow_credentials=True,
|
| allow_methods=["*"],
|
| allow_headers=["*"],
|
| )
|
|
|
|
|
| class ChatMessage(BaseModel):
|
| message: str
|
|
|
|
|
| @app.post("/chat/")
|
| def chat_with_agent(msg: ChatMessage):
|
| text = msg.message.lower()
|
| if "fraud" in text:
|
| return {"response": "You can upload a CSV of transactions below and I'll tell you which ones look suspicious."}
|
| elif "hello" in text:
|
| return {"response": "Hi there! I'm your fraud detection assistant. Upload a CSV to get started."}
|
| else:
|
| return {
|
| "response": "I'm here to help with transaction fraud detection. Try asking about fraud or upload your data."}
|
|
|
|
|
| @app.post("/upload/")
|
| async def upload_file(file: UploadFile = File(...)):
|
| try:
|
| temp_file = "temp_data.csv"
|
| with open(temp_file, "wb") as f:
|
| f.write(await file.read())
|
|
|
| agent = FraudDetectionAgent(data_path=temp_file)
|
| frauds = agent.run()
|
| os.remove(temp_file)
|
|
|
| if not frauds:
|
| return {"response": "✅ No fraud detected!"}
|
|
|
| summary = "\n".join([
|
| f"- ID: {f.get('transaction_id')}, Amount: ${f.get('amount')}"
|
| for f in frauds[:5]
|
| ])
|
| return {"response": f"⚠️ Detected {len(frauds)} suspicious transactions:\n{summary}"}
|
|
|
| except Exception as e:
|
| return {"response": f"❌ Error processing file: {str(e)}"} |
