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🤖 AUTONOMOUS API - Model Management & Auto-Fix Endpoints
==========================================================
Provides API endpoints for:
1. Model persistence (list, load, delete, rollback)
2. Autonomous data operations (auto-fix, detect issues)
"""
import logging
from typing import Optional, List
from fastapi import APIRouter, HTTPException, UploadFile, File, Form, Header
from pydantic import BaseModel
import pandas as pd
import io
logger = logging.getLogger(__name__)
router = APIRouter()
# =============================================================================
# SECURITY HELPER - JWT Authentication
# =============================================================================
def get_secure_user_id(form_user_id: str, x_user_id: Optional[str], authorization: Optional[str]) -> str:
"""
Get verified user_id from JWT token or headers.
Priority: JWT token > X-User-ID header > Form data
"""
# 1. Try JWT token first (most secure)
if authorization:
try:
token = authorization.replace("Bearer ", "")
from core.auth import decode_jwt_token
payload = decode_jwt_token(token)
if payload and payload.get("sub"):
return payload["sub"]
except Exception as e:
logger.debug(f"JWT decode failed: {e}")
# 2. Try X-User-ID header (from authenticated frontend)
if x_user_id and x_user_id != "default":
return x_user_id
# 3. Fallback to form data (least secure)
if form_user_id and form_user_id != "default":
logger.warning(f"Using form user_id: {form_user_id} - consider using JWT")
return form_user_id
# 4. Generate guest fingerprint
import hashlib
import time
return f"guest_{hashlib.md5(str(time.time()).encode()).hexdigest()[:8]}"
# =============================================================================
# REQUEST/RESPONSE MODELS
# =============================================================================
class AutoFixRequest(BaseModel):
user_id: str
fix_missing: bool = True
fix_outliers: bool = True
fix_duplicates: bool = True
fix_types: bool = True
enrich_dates: bool = True
aggressive: bool = False
class ModelRollbackRequest(BaseModel):
user_id: str
version: int
# =============================================================================
# MODEL MANAGEMENT ENDPOINTS
# =============================================================================
@router.get("/models/{user_id}")
async def list_user_models(
user_id: str,
x_user_id: Optional[str] = Header(None, alias="X-User-ID"),
authorization: Optional[str] = Header(None, alias="Authorization")
):
"""
List all trained models for a user. SECURED.
Returns active model and version history with metrics.
"""
try:
# SECURITY: Verify user_id matches authenticated user
secure_user_id = get_secure_user_id(user_id, x_user_id, authorization)
from ml.model_persistence import model_persistence
models = model_persistence.list_models(secure_user_id)
if not models:
return {
"success": True,
"user_id": secure_user_id,
"has_models": False,
"models": [],
"message": "No trained models found. Train a model first."
}
return {
"success": True,
"user_id": secure_user_id,
"has_models": True,
"active_model": models[0].to_dict() if models else None,
"total_versions": len(models),
"models": [m.to_dict() for m in models]
}
except Exception as e:
logger.error(f"List models error: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/models/{user_id}/active")
async def get_active_model(
user_id: str,
x_user_id: Optional[str] = Header(None, alias="X-User-ID"),
authorization: Optional[str] = Header(None, alias="Authorization")
):
"""Get the currently active model for a user. SECURED."""
try:
# SECURITY: Verify user_id matches authenticated user
secure_user_id = get_secure_user_id(user_id, x_user_id, authorization)
from ml.model_persistence import model_persistence
metadata = model_persistence.get_metadata(secure_user_id)
if not metadata:
raise HTTPException(status_code=404, detail="No active model found")
return {
"success": True,
"model": metadata.to_dict()
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Get active model error: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.post("/models/rollback")
async def rollback_model(
request: ModelRollbackRequest,
x_user_id: Optional[str] = Header(None, alias="X-User-ID"),
authorization: Optional[str] = Header(None, alias="Authorization")
):
"""Rollback to a previous model version. SECURED."""
try:
# SECURITY: Verify user_id matches authenticated user
secure_user_id = get_secure_user_id(request.user_id, x_user_id, authorization)
from ml.model_persistence import model_persistence
success = model_persistence.rollback_to_version(secure_user_id, request.version)
if not success:
raise HTTPException(
status_code=404,
detail=f"Version {request.version} not found"
)
return {
"success": True,
"message": f"Rolled back to version {request.version}",
"active_version": request.version
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Rollback error: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.delete("/models/{user_id}")
async def delete_all_models(
user_id: str,
x_user_id: Optional[str] = Header(None, alias="X-User-ID"),
authorization: Optional[str] = Header(None, alias="Authorization")
):
"""Delete all models for a user. SECURED."""
try:
# SECURITY: Verify user_id matches authenticated user
secure_user_id = get_secure_user_id(user_id, x_user_id, authorization)
from ml.model_persistence import model_persistence
success = model_persistence.delete_model(secure_user_id)
return {
"success": success,
"message": f"All models deleted for user {secure_user_id}" if success else "No models found"
}
except Exception as e:
logger.error(f"Delete models error: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.delete("/models/{user_id}/version/{version}")
async def delete_model_version(
user_id: str,
version: int,
x_user_id: Optional[str] = Header(None, alias="X-User-ID"),
authorization: Optional[str] = Header(None, alias="Authorization")
):
"""Delete a specific model version. SECURED."""
try:
# SECURITY: Verify user_id matches authenticated user
secure_user_id = get_secure_user_id(user_id, x_user_id, authorization)
from ml.model_persistence import model_persistence
success = model_persistence.delete_model(secure_user_id, version)
if not success:
raise HTTPException(status_code=404, detail=f"Version {version} not found")
return {
"success": True,
"message": f"Deleted version {version}"
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Delete version error: {e}")
raise HTTPException(status_code=500, detail=str(e))
# =============================================================================
# AUTONOMOUS DATA OPERATIONS ENDPOINTS
# =============================================================================
@router.post("/auto-fix")
async def auto_fix_data(
file: UploadFile = File(...),
user_id: str = Form("default"),
fix_missing: bool = Form(True),
fix_outliers: bool = Form(True),
fix_duplicates: bool = Form(True),
fix_types: bool = Form(True),
enrich_dates: bool = Form(True),
aggressive: bool = Form(False),
x_user_id: Optional[str] = Header(None, alias="X-User-ID"),
authorization: Optional[str] = Header(None, alias="Authorization")
):
"""
🤖 Automatically fix data quality issues. SECURED.
Fixes applied:
- Missing value imputation (median/mode)
- Outlier capping (IQR method)
- Duplicate removal
- Data type corrections
- Date feature enrichment
Returns the fixed data and a detailed report.
"""
try:
# SECURITY: Get verified user_id
secure_user_id = get_secure_user_id(user_id, x_user_id, authorization)
from core.autonomous_data_ops import autonomous_data_ops
# Load file
content = await file.read()
filename = file.filename or "data.csv"
if filename.endswith('.csv'):
df = pd.read_csv(io.BytesIO(content))
else:
df = pd.read_excel(io.BytesIO(content))
logger.info(f"🤖 Auto-fix request: {filename} ({df.shape[0]} rows, {df.shape[1]} cols)")
# Apply autonomous fixes
df_fixed, report = autonomous_data_ops.auto_fix(
df,
fix_missing=fix_missing,
fix_outliers=fix_outliers,
fix_duplicates=fix_duplicates,
fix_types=fix_types,
enrich_dates=enrich_dates,
aggressive=aggressive
)
# Save fixed data to user storage with SECURE user_id
from pathlib import Path
save_dir = Path(f"./storage/users/{secure_user_id}/fixed_data")
save_dir.mkdir(parents=True, exist_ok=True)
fixed_filename = f"fixed_{filename}"
save_path = save_dir / fixed_filename
df_fixed.to_csv(save_path, index=False)
return {
"success": True,
"original_file": filename,
"fixed_file": fixed_filename,
"report": report.to_dict(),
"preview": {
"columns": list(df_fixed.columns),
"rows": df_fixed.head(10).to_dict(orient="records")
},
"message": f"Applied {len(report.fixes_applied)} fixes, quality improved from {report.quality_score_before:.0%} to {report.quality_score_after:.0%}"
}
except Exception as e:
logger.error(f"Auto-fix error: {e}")
import traceback
traceback.print_exc()
raise HTTPException(status_code=500, detail=str(e))
@router.post("/detect-issues")
async def detect_data_issues(
file: UploadFile = File(...)
):
"""
Detect data quality issues without fixing them.
Returns a report of issues and recommendations.
"""
try:
from core.autonomous_data_ops import autonomous_data_ops
# Load file
content = await file.read()
filename = file.filename or "data.csv"
if filename.endswith('.csv'):
df = pd.read_csv(io.BytesIO(content))
else:
df = pd.read_excel(io.BytesIO(content))
# Detect issues
issues = autonomous_data_ops.detect_issues(df)
recommendation = autonomous_data_ops.get_fix_recommendation(df)
return {
"success": True,
"filename": filename,
"shape": {"rows": len(df), "columns": len(df.columns)},
"issues": issues,
"recommendation": recommendation,
"issue_summary": {
"missing_value_columns": len(issues["missing_values"]),
"duplicate_rows": len(issues["duplicates"]) > 0,
"outlier_columns": len(issues["outliers"]),
"type_issues": len(issues["type_issues"])
}
}
except Exception as e:
logger.error(f"Detect issues error: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/all-users-with-models")
async def get_all_users_with_models():
"""Get list of all users who have trained models."""
try:
from ml.model_persistence import model_persistence
users = model_persistence.get_all_users_with_models()
return {
"success": True,
"total_users": len(users),
"users": users
}
except Exception as e:
logger.error(f"Get users error: {e}")
raise HTTPException(status_code=500, detail=str(e))
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