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92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 ab3c5c9 92385b3 5c6ed00 92385b3 ab3c5c9 92385b3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | from fastapi import FastAPI, HTTPException, Body
from pydantic import BaseModel
import uvicorn
from models.pii_masker import PIIMasker
from models.classifier import EmailClassifier
from utils.utils import preprocess_email
# Initialize FastAPI app
app = FastAPI(title="Email Classification API",
description="API for classifying support emails and masking PII",
version="1.0.0")
# Initialize PII masker and classifier
pii_masker = PIIMasker()
classifier = EmailClassifier(model_path="models/email_classifier.joblib")
class EmailRequest(BaseModel):
email_body: str
class EmailResponse(BaseModel):
input_email_body: str
list_of_masked_entities: list
masked_email: str
category_of_the_email: str
@app.post("/classify-email", response_model=EmailResponse)
async def classify_email(request: EmailRequest = Body(...)):
"""
Classify an email and mask PII information.
Args:
request: Email request object containing the email body
Returns:
dict: Response with masked email and classification
"""
try:
email_body = request.email_body
# Mask PII
masked_email, entities = pii_masker.mask_pii(email_body)
# Preprocess for classification
processed_email = preprocess_email(masked_email)
# Classify email
category = classifier.classify(processed_email)
# Prepare response
response = {
"input_email_body": email_body,
"list_of_masked_entities": entities,
"masked_email": masked_email,
"category_of_the_email": category
}
return response
except Exception as e:
error_msg = f"Error processing request: {str(e)}"
raise HTTPException(status_code=500, detail=error_msg)
@app.get("/health")
async def health_check():
"""
Health check endpoint.
Returns:
dict: Status message
"""
return {"status": "healthy"}
# For local development
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
|