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