commit 11fba088da4651d97152dcdb277b31613e9a8678
Author: valenti <avalenti@azurian.com>
Date:   Mon Sep 7 18:35:26 2026 +0000

    first

diff --git a/README.md b/README.md
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+# FFmpeg API
+
+FastAPI service that exposes FFmpeg over HTTP for three explicit conversion workflows through a single endpoint:
+
+- `video_to_mp4`
+- `audio_to_mp3`
+- `audio_image_to_mp4`
+
+The API is designed to run with Uvicorn and prefer CUDA/NVIDIA acceleration by default through `h264_nvenc`.
+
+Available H.264 video codecs:
+
+- `libx264`
+- `h264_nvenc`
+
+## Requirements
+
+- Python virtual environment available at `/home/azurian/.venv`
+- FFmpeg installed on the host and available in `PATH`
+- FFmpeg build with support for `libx264`
+- Optional NVIDIA-enabled FFmpeg build with support for `h264_nvenc`
+
+## Install
+
+```bash
+cd /home/azurian/ffmppppeg-api
+/home/azurian/.venv/bin/pip install -r requirements.txt
+```
+
+## Start
+
+Using the launcher:
+
+```bash
+/home/azurian/start-convert.sh
+```
+
+Or directly with Uvicorn:
+
+```bash
+cd /home/azurian/ffmppppeg-api
+/home/azurian/.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8022
+```
+
+Start in CUDA-only mode:
+
+```bash
+cd /home/azurian/ffmppppeg-api
+FORCE_CUDA=1 /home/azurian/.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8022
+```
+
+## Health Check
+
+```bash
+curl http://IP_DEL_SERVER:8022/health
+```
+
+## API Contract
+
+### Endpoint
+
+```text
+POST /convert
+```
+
+### Query Parameters
+
+- `mode`: `video_to_mp4`, `audio_to_mp3`, or `audio_image_to_mp4`
+- `codec`: `libx264` or `h264_nvenc` for video modes, default `h264_nvenc`
+- `preset`: optional video preset, default `medium` for `libx264` and `p4` for `h264_nvenc`
+- `audio_bitrate`: audio bitrate for `audio_to_mp3`, default `192k`
+- `width`: output width for `audio_image_to_mp4`, default `1920`
+- `height`: output height for `audio_image_to_mp4`, default `1080`
+- `fps`: output frame rate for `audio_image_to_mp4`, default `30`
+- `logo_width`: logo width in pixels for `audio_image_to_mp4`, default `280`
+- `margin`: top/right logo margin for `audio_image_to_mp4`, default `24`
+
+Recommended output parameters:
+
+- Video codec: H.264 via `h264_nvenc`
+- Audio codec: `aac`
+- Pixel format: `yuv420p`
+- Container: `mp4`
+- Flags: `+faststart`
+
+Fallback:
+
+- `libx264` remains available if you need a CPU-only fallback path.
+
+CUDA enforcement:
+
+- If you start the server with `FORCE_CUDA=1`, every video output must use `h264_nvenc`.
+- With `FORCE_CUDA=1`, requests that specify `libx264` return HTTP 400.
+- `audio_to_mp3` is unaffected because it does not produce video output.
+
+## Modes
+
+### 1. `video_to_mp4`
+
+Multipart fields:
+
+- `file`: input video file
+
+Example:
+
+```bash
+curl -X POST "http://IP_DEL_SERVER:8022/convert?mode=video_to_mp4&codec=h264_nvenc&preset=p4" \
+  -F "file=@/path/input.mov" \
+  --output output.mp4
+```
+
+### 2. `audio_to_mp3`
+
+Multipart fields:
+
+- `audio`: input audio file
+
+You can also send the audio file as `file`, but `audio` is the recommended field name.
+
+Example:
+
+```bash
+curl -X POST "http://IP_DEL_SERVER:8022/convert?mode=audio_to_mp3&audio_bitrate=192k" \
+  -F "audio=@/path/input.wav" \
+  --output output.mp3
+```
+
+### 3. `audio_image_to_mp4`
+
+Multipart fields:
+
+- `audio`: input audio file
+- `background`: background image or background video
+- `logo`: overlay logo image
+
+Supported background image formats:
+
+- `.jpg`
+- `.jpeg`
+- `.png`
+- `.webp`
+
+Supported background video formats:
+
+- `.mp4`
+- `.mov`
+- `.mkv`
+- `.avi`
+- `.webm`
+- `.m4v`
+
+Supported audio formats:
+
+- `.wav`
+- `.mp3`
+- `.m4a`
+- `.aac`
+- `.flac`
+- `.ogg`
+
+Example with image background:
+
+```bash
+curl -X POST "http://IP_DEL_SERVER:8022/convert?mode=audio_image_to_mp4&codec=h264_nvenc&preset=p4&width=1920&height=1080&fps=30&logo_width=280&margin=24" \
+  -F "audio=@/path/voice.wav" \
+  -F "background=@/path/background.jpg" \
+  -F "logo=@/path/logo.png" \
+  --output output.mp4
+```
+
+Example with video background:
+
+```bash
+curl -X POST "http://IP_DEL_SERVER:8022/convert?mode=audio_image_to_mp4&codec=h264_nvenc&preset=p4" \
+  -F "audio=@/path/voice.wav" \
+  -F "background=@/path/background.mp4" \
+  -F "logo=@/path/logo.png" \
+  --output output.mp4
+```
+
+## Notes
+
+- Temporary files are cleaned up automatically on success and error paths.
+- FFmpeg failures are returned as HTTP 500 responses with the process error message.
+- CORS is enabled for network access from other machines on the local network.
diff --git a/__pycache__/main.cpython-313.pyc b/__pycache__/main.cpython-313.pyc
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diff --git a/main.py b/main.py
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+from __future__ import annotations
+
+import asyncio
+import contextlib
+import os
+import shutil
+import tempfile
+from pathlib import Path
+from typing import Literal
+
+from fastapi import FastAPI, File, HTTPException, Query, UploadFile
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from starlette.background import BackgroundTask
+
+
+FFMPEG_BINARY = os.getenv("FFMPEG_BINARY", "ffmpeg")
+ALLOWED_CODECS = {"libx264", "h264_nvenc"}
+DEFAULT_CODEC = "h264_nvenc"
+DEFAULT_X264_PRESET = "medium"
+DEFAULT_NVENC_PRESET = "p4"
+FORCE_CUDA = os.getenv("FORCE_CUDA", "").strip().lower() in {"1", "true", "yes", "on"}
+OUTPUT_EXTENSION = ".mp4"
+CHUNK_SIZE = 1024 * 1024
+IMAGE_EXTENSIONS = {".jpg", ".jpeg", ".png", ".webp"}
+VIDEO_EXTENSIONS = {".mp4", ".mov", ".mkv", ".avi", ".webm", ".m4v"}
+AUDIO_EXTENSIONS = {".wav", ".mp3", ".m4a", ".aac", ".flac", ".ogg"}
+
+
+app = FastAPI(
+    title="FFmpeg Hardware API",
+    description=(
+        "API FastAPI per conversione media in MP4/MP3 ottimizzata per CUDA con "
+        "`h264_nvenc` come default. Imposta `FORCE_CUDA=1` per accettare solo codec NVIDIA."
+    ),
+    version="1.0.0",
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=False,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+CodecType = Literal["libx264", "h264_nvenc"]
+ConvertMode = Literal["video_to_mp4", "audio_to_mp3", "audio_image_to_mp4"]
+
+
+async def save_upload_file(upload_file: UploadFile, destination: Path) -> None:
+    with destination.open("wb") as buffer:
+        while chunk := await upload_file.read(CHUNK_SIZE):
+            buffer.write(chunk)
+    await upload_file.close()
+
+
+def validate_codec(codec: str) -> None:
+    if codec not in ALLOWED_CODECS:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Unsupported codec. Allowed values: {', '.join(sorted(ALLOWED_CODECS))}",
+        )
+    if FORCE_CUDA and codec != "h264_nvenc":
+        raise HTTPException(
+            status_code=400,
+            detail="FORCE_CUDA is enabled. Only `h264_nvenc` is allowed for video outputs.",
+        )
+
+
+def resolve_preset(codec: str, preset: str | None) -> str:
+    if preset:
+        return preset
+    if codec == "h264_nvenc":
+        return DEFAULT_NVENC_PRESET
+    return DEFAULT_X264_PRESET
+
+
+def background_kind(path: Path) -> str:
+    suffix = path.suffix.lower()
+    if suffix in IMAGE_EXTENSIONS:
+        return "image"
+    if suffix in VIDEO_EXTENSIONS:
+        return "video"
+    raise HTTPException(
+        status_code=400,
+        detail=(
+            "Unsupported background format. Use an image "
+            f"({', '.join(sorted(IMAGE_EXTENSIONS))}) or a video "
+            f"({', '.join(sorted(VIDEO_EXTENSIONS))})."
+        ),
+    )
+
+
+def ensure_filename(upload: UploadFile | None, field_name: str) -> str:
+    if upload is None or not upload.filename:
+        raise HTTPException(status_code=400, detail=f"Missing uploaded file for field '{field_name}'.")
+    return upload.filename
+
+
+def audio_kind(path: Path) -> str:
+    suffix = path.suffix.lower()
+    if suffix in AUDIO_EXTENSIONS:
+        return "audio"
+    raise HTTPException(
+        status_code=400,
+        detail=f"Unsupported audio format. Allowed values: {', '.join(sorted(AUDIO_EXTENSIONS))}.",
+    )
+
+
+async def run_ffmpeg_command(command: list[str], error_prefix: str) -> None:
+    process = await asyncio.create_subprocess_exec(
+        *command,
+        stdout=asyncio.subprocess.PIPE,
+        stderr=asyncio.subprocess.PIPE,
+    )
+    stdout, stderr = await process.communicate()
+
+    if process.returncode != 0:
+        error_message = (stderr or stdout).decode("utf-8", errors="replace").strip()
+        raise HTTPException(
+            status_code=500,
+            detail=f"{error_prefix}: {error_message or 'unknown error'}",
+        )
+
+
+async def run_ffmpeg(
+    input_path: Path,
+    output_path: Path,
+    codec: str,
+    preset: str,
+) -> None:
+    command = [FFMPEG_BINARY, "-y", "-hide_banner", "-loglevel", "error"]
+
+    if codec == "h264_nvenc":
+        command.extend(["-hwaccel", "cuda", "-hwaccel_output_format", "cuda"])
+
+    command.extend(
+        [
+            "-i",
+            str(input_path),
+            "-map",
+            "0:v:0",
+            "-map",
+            "0:a?",
+            "-c:v",
+            codec,
+            "-preset",
+            preset,
+            "-pix_fmt",
+            "yuv420p",
+            "-movflags",
+            "+faststart",
+            "-c:a",
+            "aac",
+            "-b:a",
+            "192k",
+            str(output_path),
+        ]
+    )
+    await run_ffmpeg_command(command, "FFmpeg conversion failed")
+
+
+async def run_ffmpeg_audio_to_mp3(
+    input_path: Path,
+    output_path: Path,
+    bitrate: str,
+) -> None:
+    audio_kind(input_path)
+    command = [
+        FFMPEG_BINARY,
+        "-y",
+        "-hide_banner",
+        "-loglevel",
+        "error",
+        "-i",
+        str(input_path),
+        "-vn",
+        "-codec:a",
+        "libmp3lame",
+        "-b:a",
+        bitrate,
+        str(output_path),
+    ]
+    await run_ffmpeg_command(command, "FFmpeg audio conversion failed")
+
+
+async def run_ffmpeg_compose(
+    background_path: Path,
+    logo_path: Path,
+    audio_path: Path,
+    output_path: Path,
+    codec: str,
+    preset: str,
+    width: int,
+    height: int,
+    fps: int,
+    logo_width: int,
+    margin: int,
+) -> None:
+    kind = background_kind(background_path)
+
+    scale_background = (
+        f"scale={width}:{height}:force_original_aspect_ratio=decrease,"
+        f"pad={width}:{height}:(ow-iw)/2:(oh-ih)/2:color=black"
+    )
+    filter_complex = (
+        f"[0:v]{scale_background}[bg];"
+        f"[1:v]scale={logo_width}:-1[logo];"
+        f"[bg][logo]overlay=W-w-{margin}:{margin}:format=auto[v]"
+    )
+
+    command = [
+        FFMPEG_BINARY,
+        "-y",
+        "-hide_banner",
+        "-loglevel",
+        "error",
+    ]
+
+    if kind == "image":
+        command.extend(["-loop", "1"])
+    elif codec == "h264_nvenc":
+        # Keep CPU filters, but still ask FFmpeg to prefer CUDA decoding for video backgrounds.
+        command.extend(["-hwaccel", "cuda"])
+
+    command.extend(
+        [
+            "-i",
+            str(background_path),
+            "-i",
+            str(logo_path),
+            "-i",
+            str(audio_path),
+            "-filter_complex",
+            filter_complex,
+            "-map",
+            "[v]",
+            "-map",
+            "2:a:0",
+            "-c:v",
+            codec,
+            "-preset",
+            preset,
+            "-r",
+            str(fps),
+            "-pix_fmt",
+            "yuv420p",
+            "-movflags",
+            "+faststart",
+            "-c:a",
+            "aac",
+            "-b:a",
+            "192k",
+            "-shortest",
+            str(output_path),
+        ]
+    )
+
+    await run_ffmpeg_command(command, "FFmpeg compose failed")
+
+
+def cleanup_temp_dir(temp_dir: str) -> None:
+    shutil.rmtree(temp_dir, ignore_errors=True)
+
+
+def output_filename(stem: str, suffix: str) -> str:
+    safe_stem = stem or "converted"
+    return f"{safe_stem}{suffix}"
+
+
+@app.get("/health")
+async def healthcheck() -> dict[str, str]:
+    return {"status": "ok"}
+
+
+@app.post("/convert")
+async def convert_media(
+    mode: ConvertMode = Query(
+        "video_to_mp4",
+        description="Conversion mode: video_to_mp4, audio_to_mp3, audio_image_to_mp4.",
+    ),
+    file: UploadFile | None = File(None),
+    audio: UploadFile | None = File(None),
+    background: UploadFile | None = File(None),
+    logo: UploadFile | None = File(None),
+    codec: CodecType = Query(
+        DEFAULT_CODEC,
+        description="Codec video consentito. `h264_nvenc` e' il default ottimizzato per CUDA; `libx264` resta disponibile come fallback.",
+    ),
+    preset: str | None = Query(
+        None,
+        description="Preset opzionale. Default automatico: `medium` per libx264, `p4` per h264_nvenc.",
+    ),
+    audio_bitrate: str = Query("192k", description="Audio bitrate for audio_to_mp3 mode."),
+    width: int = Query(1920, ge=320, le=7680, description="Final video width for audio_image_to_mp4."),
+    height: int = Query(1080, ge=240, le=4320, description="Final video height for audio_image_to_mp4."),
+    fps: int = Query(30, ge=1, le=120, description="Frame rate for audio_image_to_mp4."),
+    logo_width: int = Query(280, ge=32, le=2048, description="Logo width in pixels."),
+    margin: int = Query(24, ge=0, le=500, description="Logo margin from top/right border."),
+):
+    temp_dir = tempfile.mkdtemp(prefix="ffmpeg-api-")
+    uploads = {
+        "file": file,
+        "audio": audio,
+        "background": background,
+        "logo": logo,
+    }
+
+    try:
+        if mode == "video_to_mp4":
+            validate_codec(codec)
+            resolved_preset = resolve_preset(codec, preset)
+            filename = ensure_filename(file, "file")
+            input_suffix = Path(filename).suffix or ".bin"
+            input_path = Path(temp_dir) / f"input{input_suffix}"
+            output_stem = Path(filename).stem or "converted"
+            output_path = Path(temp_dir) / f"{output_stem}_{codec}{OUTPUT_EXTENSION}"
+
+            await save_upload_file(file, input_path)
+            await run_ffmpeg(input_path=input_path, output_path=output_path, codec=codec, preset=resolved_preset)
+            media_type = "video/mp4"
+
+        elif mode == "audio_to_mp3":
+            filename = ensure_filename(audio or file, "audio")
+            audio_upload = audio or file
+            input_suffix = Path(filename).suffix or ".bin"
+            input_path = Path(temp_dir) / f"input_audio{input_suffix}"
+            output_stem = Path(filename).stem or "converted"
+            output_path = Path(temp_dir) / output_filename(output_stem, ".mp3")
+
+            await save_upload_file(audio_upload, input_path)
+            await run_ffmpeg_audio_to_mp3(input_path=input_path, output_path=output_path, bitrate=audio_bitrate)
+            media_type = "audio/mpeg"
+
+        elif mode == "audio_image_to_mp4":
+            validate_codec(codec)
+            resolved_preset = resolve_preset(codec, preset)
+            audio_filename = ensure_filename(audio, "audio")
+            background_filename = ensure_filename(background, "background")
+            logo_filename = ensure_filename(logo, "logo")
+
+            background_path = Path(temp_dir) / f"background{Path(background_filename).suffix or '.bin'}"
+            logo_path = Path(temp_dir) / f"logo{Path(logo_filename).suffix or '.bin'}"
+            audio_path = Path(temp_dir) / f"audio{Path(audio_filename).suffix or '.bin'}"
+            output_stem = Path(audio_filename).stem or "composed"
+            output_path = Path(temp_dir) / f"{output_stem}_{codec}{OUTPUT_EXTENSION}"
+
+            await save_upload_file(background, background_path)
+            await save_upload_file(logo, logo_path)
+            await save_upload_file(audio, audio_path)
+
+            await run_ffmpeg_compose(
+                background_path=background_path,
+                logo_path=logo_path,
+                audio_path=audio_path,
+                output_path=output_path,
+                codec=codec,
+                preset=resolved_preset,
+                width=width,
+                height=height,
+                fps=fps,
+                logo_width=logo_width,
+                margin=margin,
+            )
+            media_type = "video/mp4"
+
+        else:
+            raise HTTPException(status_code=400, detail=f"Unsupported mode: {mode}")
+
+        if not output_path.exists():
+            raise HTTPException(status_code=500, detail="FFmpeg did not produce any output file.")
+
+        return FileResponse(
+            path=output_path,
+            media_type=media_type,
+            filename=output_path.name,
+            background=BackgroundTask(cleanup_temp_dir, temp_dir),
+        )
+    except HTTPException:
+        cleanup_temp_dir(temp_dir)
+        raise
+    except Exception as exc:
+        cleanup_temp_dir(temp_dir)
+        raise HTTPException(status_code=500, detail=f"Unexpected error: {exc}") from exc
+    finally:
+        for upload in uploads.values():
+            if upload is not None:
+                with contextlib.suppress(Exception):
+                    await upload.close()
diff --git a/requirements.txt b/requirements.txt
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+fastapi>=0.116.0,<1.0.0
+uvicorn[standard]>=0.35.0,<1.0.0
+python-multipart>=0.0.20,<1.0.0