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Browse files- Dockerfile +31 -0
- app.py +263 -0
- requirements.txt +15 -0
Dockerfile
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# ============================================================
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# Image Compressor Pro — Python Backend (HuggingFace Spaces)
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# ============================================================
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FROM python:3.11-slim
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# System dependencies for Pillow and pillow-heif
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libheif-dev \
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libavif-dev \
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libjpeg-turbo-progs \
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libjpeg62-turbo-dev \
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libwebp-dev \
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libtiff-dev \
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libffi-dev \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Install Python dependencies first (Docker layer caching)
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY app.py .
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# HuggingFace Spaces expects port 7860
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EXPOSE 7860
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# Production: use multiple workers for concurrency
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "4", "--log-level", "info"]
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app.py
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"""
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Image Compressor Pro — Python Backend (FastAPI + Pillow)
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========================================================
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A high-performance, concurrent image compression API designed to replace
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the Node.js + Sharp backend. Uses Pillow (with pillow-heif for HEIF/AVIF)
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and FastAPI with StreamingResponse for efficient, non-blocking I/O.
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Deployment target: HuggingFace Spaces (Docker) or local testing.
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"""
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import io
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import logging
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from contextlib import asynccontextmanager
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from concurrent.futures import ThreadPoolExecutor
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from fastapi import FastAPI, Request, Query, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, PlainTextResponse
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from starlette.concurrency import run_in_threadpool
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from PIL import Image
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# ---------------------------------------------------------------------------
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# Optional: HEIF / AVIF support via pillow-heif
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# ---------------------------------------------------------------------------
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try:
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import pillow_heif
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pillow_heif.register_heif_opener() # enables Image.open() for HEIF/AVIF
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HEIF_AVAILABLE = True
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except ImportError:
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HEIF_AVAILABLE = False
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# ---------------------------------------------------------------------------
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# Logging
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# ---------------------------------------------------------------------------
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s | %(levelname)-7s | %(message)s",
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datefmt="%H:%M:%S",
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)
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log = logging.getLogger("compressor")
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# ---------------------------------------------------------------------------
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# Thread pool — used to offload CPU-bound Pillow work
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# ---------------------------------------------------------------------------
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MAX_WORKERS = 4
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_pool = ThreadPoolExecutor(max_workers=MAX_WORKERS)
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# ---------------------------------------------------------------------------
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# Lifespan (startup / shutdown)
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# ---------------------------------------------------------------------------
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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log.info("Compressor backend starting (workers=%d)", MAX_WORKERS)
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if HEIF_AVAILABLE:
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log.info("pillow-heif is available — HEIF/AVIF support enabled")
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else:
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log.warning("pillow-heif not installed — HEIF/AVIF output disabled")
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yield
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_pool.shutdown(wait=False)
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log.info("Compressor backend shut down")
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# ---------------------------------------------------------------------------
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# App
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# ---------------------------------------------------------------------------
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app = FastAPI(
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title="Image Compressor Pro API",
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version="1.0.0",
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lifespan=lifespan,
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)
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# CORS — allow all origins so the frontend can call from any domain
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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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# ---------------------------------------------------------------------------
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# Constants
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# ---------------------------------------------------------------------------
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MAX_FILE_SIZE = 20 * 1024 * 1024 # 20 MB
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# MIME types for each supported output format
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MIME_MAP = {
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"jpeg": "image/jpeg",
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"png": "image/png",
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"webp": "image/webp",
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"avif": "image/avif",
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"heif": "image/heic",
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"tiff": "image/tiff",
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}
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# ---------------------------------------------------------------------------
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# Core compression logic (runs in thread pool)
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# ---------------------------------------------------------------------------
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def _compress_image(raw_bytes: bytes, quality: int, fmt: str) -> bytes:
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"""
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Open *raw_bytes* as an image, compress it into *fmt* at the given
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*quality*, and return the resulting bytes.
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This is intentionally a **synchronous** function because Pillow is
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CPU-bound. It is called via ``run_in_threadpool`` so the event loop
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is never blocked.
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"""
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img = Image.open(io.BytesIO(raw_bytes))
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# Convert RGBA → RGB for formats that don't support alpha
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if fmt in ("jpeg", "tiff") and img.mode in ("RGBA", "LA", "PA"):
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background = Image.new("RGB", img.size, (255, 255, 255))
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background.paste(img, mask=img.split()[-1]) # alpha composite
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img = background
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elif fmt in ("jpeg",) and img.mode != "RGB":
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img = img.convert("RGB")
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out_buffer = io.BytesIO()
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if fmt == "jpeg":
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img.save(
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out_buffer,
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format="JPEG",
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quality=quality,
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optimize=True,
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progressive=True,
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subsampling="4:2:0" if quality < 90 else "4:4:4",
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)
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elif fmt == "png":
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# PNG quality mapped to compress_level (0-9, higher = smaller)
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compress_level = max(1, min(9, 9 - (quality // 12)))
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img.save(
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out_buffer,
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format="PNG",
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compress_level=compress_level,
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optimize=True,
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)
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elif fmt == "webp":
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img.save(
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out_buffer,
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format="WEBP",
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quality=quality,
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method=4, # 0-6, higher = slower + better compression
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)
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elif fmt == "avif":
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if not HEIF_AVAILABLE:
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raise ValueError("AVIF output requires pillow-heif (not installed)")
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img.save(
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out_buffer,
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format="AVIF",
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quality=quality,
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)
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elif fmt == "heif":
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if not HEIF_AVAILABLE:
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raise ValueError("HEIF output requires pillow-heif (not installed)")
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img.save(
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out_buffer,
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format="HEIF",
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quality=quality,
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)
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elif fmt == "tiff":
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img.save(
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out_buffer,
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format="TIFF",
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compression="tiff_lzw", # lossless LZW compression
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)
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else:
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raise ValueError(f"Unsupported format: {fmt}")
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out_buffer.seek(0)
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return out_buffer.getvalue()
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# ---------------------------------------------------------------------------
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# Routes
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# ---------------------------------------------------------------------------
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@app.get("/ping", response_class=PlainTextResponse)
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async def health_check():
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"""Simple health-check endpoint compatible with the Node backend."""
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return "pong"
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@app.get("/", response_class=PlainTextResponse)
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async def root():
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"""Root endpoint — useful for HuggingFace Spaces health probes."""
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return "Image Compressor Pro API is running"
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@app.post("/api/process-stream")
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async def process_stream(
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request: Request,
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quality: int = Query(default=80, ge=1, le=100),
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format: str = Query(default="jpeg", pattern="^(jpeg|png|webp|avif|heif|tiff)$"),
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):
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| 195 |
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"""
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| 196 |
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Receive a raw image in the request body (Content-Type: image/*),
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compress it using Pillow, and stream the result back.
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Query parameters
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----------------
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quality : int (1–100)
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Compression quality. Higher = better quality, larger file.
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format : str
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Target output format (jpeg, png, webp, avif, heif, tiff).
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This mirrors the Node.js backend's ``POST /api/process-stream`` contract
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so the frontend works without changes.
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"""
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# ---- Read the incoming image bytes (with size guard) ----
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body = await request.body()
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| 211 |
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if len(body) == 0:
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raise HTTPException(status_code=400, detail="Empty request body")
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if len(body) > MAX_FILE_SIZE:
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raise HTTPException(
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status_code=413,
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detail=f"File too large ({len(body)} bytes). Max is {MAX_FILE_SIZE} bytes.",
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)
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# ---- Check HEIF/AVIF availability ----
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| 220 |
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if format in ("avif", "heif") and not HEIF_AVAILABLE:
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raise HTTPException(
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status_code=400,
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detail=f"{format.upper()} format requires pillow-heif which is not installed.",
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)
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# ---- Offload CPU-bound compression to thread pool ----
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try:
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compressed = await run_in_threadpool(_compress_image, body, quality, format)
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+
except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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| 231 |
+
except Exception as e:
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log.exception("Compression failed")
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raise HTTPException(status_code=500, detail=f"Compression error: {e}")
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| 234 |
+
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+
# ---- Stream result back ----
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mime = MIME_MAP.get(format, "application/octet-stream")
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| 237 |
+
|
| 238 |
+
return StreamingResponse(
|
| 239 |
+
io.BytesIO(compressed),
|
| 240 |
+
media_type=mime,
|
| 241 |
+
headers={
|
| 242 |
+
"Content-Disposition": f"attachment; filename=compressed_image.{format}",
|
| 243 |
+
"Content-Length": str(len(compressed)),
|
| 244 |
+
"X-Original-Size": str(len(body)),
|
| 245 |
+
"X-Compressed-Size": str(len(compressed)),
|
| 246 |
+
},
|
| 247 |
+
)
|
| 248 |
+
|
| 249 |
+
|
| 250 |
+
# ---------------------------------------------------------------------------
|
| 251 |
+
# Entry point for local development
|
| 252 |
+
# ---------------------------------------------------------------------------
|
| 253 |
+
if __name__ == "__main__":
|
| 254 |
+
import uvicorn
|
| 255 |
+
|
| 256 |
+
uvicorn.run(
|
| 257 |
+
"app:app",
|
| 258 |
+
host="0.0.0.0",
|
| 259 |
+
port=7860,
|
| 260 |
+
workers=1, # single worker for local dev; increase for prod
|
| 261 |
+
log_level="info",
|
| 262 |
+
reload=True, # auto-reload on code changes during dev
|
| 263 |
+
)
|
requirements.txt
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# ============================================================
|
| 2 |
+
# Image Compressor Pro — Python Backend Dependencies
|
| 3 |
+
# ============================================================
|
| 4 |
+
# Core
|
| 5 |
+
fastapi>=0.115.0
|
| 6 |
+
uvicorn[standard]>=0.30.0
|
| 7 |
+
python-multipart>=0.0.9
|
| 8 |
+
|
| 9 |
+
# Image processing
|
| 10 |
+
Pillow>=10.4.0
|
| 11 |
+
pillow-heif>=0.18.0 # HEIF / AVIF read & write support
|
| 12 |
+
|
| 13 |
+
# Performance (optional but recommended)
|
| 14 |
+
httptools>=0.6.0 # faster HTTP parsing for uvicorn
|
| 15 |
+
uvloop>=0.20.0; sys_platform != "win32" # faster event loop (Linux/Mac only)
|