Files
ai-training-monitor/backend/app/api/routes/samples.py
2025-01-23 09:27:40 +01:00

65 lines
1.8 KiB
Python

from typing import List
from fastapi import APIRouter, HTTPException, Query, Request
from fastapi.responses import Response
from app.models.sample import Sample
router = APIRouter()
@router.get("/list", response_model=List[Sample])
async def list_samples(
request: Request,
limit: int = Query(20, ge=1, le=1000),
offset: int = Query(0, ge=0)
):
"""
List sample images with pagination
"""
try:
sample_manager = request.app.state.sample_manager
return await sample_manager.list_samples(limit, offset)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/latest", response_model=List[Sample])
async def get_latest_samples(
request: Request,
count: int = Query(5, ge=1, le=20)
):
"""
Get the most recent sample images
"""
try:
sample_manager = request.app.state.sample_manager
return await sample_manager.get_latest_samples(count)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/image/{filename}")
async def get_sample_image(
request: Request,
filename: str):
"""
Get a specific sample image
"""
try:
sample_manager = request.app.state.sample_manager
image_data = await sample_manager.get_sample_data(filename)
# Try to determine content type from filename
content_type = "image/jpeg" # default
if filename.lower().endswith('.png'):
content_type = "image/png"
elif filename.lower().endswith('.gif'):
content_type = "image/gif"
return Response(
content=bytes(image_data),
media_type=content_type
)
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))