新增corner_mirror去重特效接口

pyproject.toml

@@ -13,13 +13,17 @@ dependencies = [
     "httpx>=0.28.1",
     "loguru>=0.7.3",
     "modal>=0.74.57",
+    "noisereduce>=3.0.3",
+    "pedalboard==0.9.2",
     "psutil>=7.0.0",
     "pydantic>=2.11.3",
     "pydantic-settings>=2.9.1",
+    "pyloudnorm>=0.1.1",
     "python-ffmpeg>=2.0.12",
     "requests>=2.32.3",
     "scalar-fastapi>=1.0.3",
     "sentry-sdk[loguru]>=2.26.1",
+    "soundfile>=0.13.1",
     "tencentcloud-sdk-python-common>=3.0.1363",
     "tencentcloud-sdk-python-vod>=3.0.1363",
     "tqdm>=4.67.1",

src/cluster/ffmpeg_worker/Utils/SentryUtils.py

@@ -0,0 +1,39 @@
+from typing import Optional, Tuple, Any
+import psutil
+import sentry_sdk
+
+
+class SentryUtils:
+    @staticmethod
+    def capture_hardware_info() -> Tuple[Any, int, Any]:
+        cpu_freq = psutil.cpu_freq()
+        cpu_count = psutil.cpu_count()
+        mem = psutil.virtual_memory()
+
+        return (cpu_freq, cpu_count, mem)
+
+    @staticmethod
+    def sentry_tracker(sentry_trace_id: Optional[str], sentry_baggage: Optional[str],
+                       op: Optional[str], name: Optional[str], fn_id: str):
+        def decorator(func):
+            def wrapper(*args, **kwargs):
+                if sentry_trace_id and sentry_baggage:
+                    transaction = sentry_sdk.continue_trace(environ_or_headers={"sentry-trace": sentry_trace_id,
+                                                                                "baggage": sentry_baggage, })
+                else:
+                    transaction = sentry_sdk.start_transaction(op='modal.function', name='Modal Function直接调用')
+                with transaction:
+                    with transaction.start_child(op=op, name=name) as span:
+                        cpu_freq, cpu_count, mem = SentryUtils.capture_hardware_info()
+                        total_mb = mem.total >> 20
+                        # available_mb = mem.available >> 20
+                        sentry_sdk.set_tag('fn.id', fn_id)
+                        span.set_data('cpu.count', cpu_count)
+                        span.set_data('cpu.frequency', f"{cpu_freq.current / 1000:.2f} GHz")
+                        span.set_data('memory.available', f"{total_mb} Mb")
+                        result = func(*args, **kwargs)
+                return result
+
+            return wrapper
+
+        return decorator

src/cluster/ffmpeg_worker/Utils/VideoUtils.py

@@ -0,0 +1,86 @@
+from typing import Union, List, Tuple
+from pydantic import BaseModel, ConfigDict, computed_field
+from ffmpeg import FFmpeg
+from ffmpeg.asyncio import FFmpeg as AsyncFFmpeg
+
+
+class MediaStream(BaseModel):
+    duration: float
+    codec_name: str
+
+    model_config = ConfigDict(extra='allow')
+
+
+class AudioStream(MediaStream):
+    sample_rate: str
+    # bit_depth : str
+    # sample_fmt: str
+
+    model_config = ConfigDict(extra='allow')
+
+
+class VideoStream(MediaStream):
+    width: int
+    height: int
+    bit_rate: int
+    avg_frame_rate: str
+
+    @computed_field
+    @property
+    def video_bitrate(self) -> str:
+        return str(int(self.bit_rate / 1000)) + 'k'
+
+    @computed_field
+    @property
+    def video_frame_rate(self) -> float:
+        numerator, denominator = map(int, self.avg_frame_rate.split('/'))
+        if denominator != 0:
+            return numerator / denominator
+        return 0
+
+    model_config = ConfigDict(extra='allow')
+
+
+class VideoMetadata(BaseModel):
+    streams: List[Union[VideoStream, AudioStream]]
+
+    model_config = ConfigDict(extra='allow')
+
+
+class VideoUtils:
+
+    @staticmethod
+    def ffprobe_video_format(media_path: str) -> VideoStream:
+        ffprobe = FFmpeg(executable="ffprobe").input(
+            media_path, print_format="json", show_streams=None
+        )
+        video_metadata = VideoMetadata.model_validate_json(ffprobe.execute())
+        return video_metadata.streams[0]
+
+    @staticmethod
+    async def ffprobe_video_format_async(media_path: str) -> VideoStream:
+        ffprobe = AsyncFFmpeg(executable="ffprobe").input(
+            media_path, print_format="json", show_streams=None
+        )
+        video_metadata = VideoMetadata.model_validate_json(await ffprobe.execute())
+        return video_metadata.streams[0]
+
+    @staticmethod
+    def ffprobe_video_size(media_path: str) -> Tuple[int, int]:
+        """
+        :param media_path: local path to video
+        :return: video_width, video_height
+        """
+        ffprobe = FFmpeg(executable="ffprobe").input(
+            media_path, print_format="json", show_streams=None
+        )
+        video_metadata = VideoMetadata.model_validate_json(ffprobe.execute())
+        return video_metadata.streams[0].width, video_metadata.streams[0].height
+
+    @staticmethod
+    async def ffprobe_video_size_async(media_path: str) -> Tuple[int, int]:
+        ffprobe = AsyncFFmpeg(executable="ffprobe").input(
+            media_path, print_format="json", show_streams=None
+        )
+        video_metadata = VideoMetadata.model_validate_json(await ffprobe.execute())
+        return video_metadata.streams[0].width, video_metadata.streams[0].height

src/cluster/ffmpeg_worker/model.py

@@ -7,8 +7,8 @@ from src.cluster.ffmpeg_worker.Utils.TimeUtils import TimeDelta
 
 
 class FFMpegSliceSegment(BaseModel):
-    start: TimeDelta = Field(description="FFMPEG segment start time from 0")
-    end: TimeDelta = Field(description="FFMPEG segment end time from 0")
+    start: TimeDelta = Field(description="视频切割的开始时间点秒数, 可为浮点小数(精确到小数点后3位,毫秒级)")
+    end: TimeDelta = Field(description="视频切割的结束时间点秒数, 可为浮点小数(精确到小数点后3位,毫秒级)")
 
     @computed_field
     @property

src/cluster/ffmpeg_worker/worker.py

@@ -3,10 +3,13 @@ import modal
 ffmpeg_worker_image = (
     modal.Image.debian_slim(python_version="3.11")
     .apt_install('ffmpeg')
-    .pip_install('sentry-sdk', 'loguru', 'pydantic', 'pydantic_settings', 'httpx', 'python-ffmpeg', 'psutil', 'backoff')
+    .pip_install('sentry-sdk', 'loguru', 'pydantic', 'pydantic_settings', 'httpx', 'python-ffmpeg', 'psutil', 'backoff',
+                 'pedalboard==0.9.2', 'soundfile', 'pyloudnorm', 'noisereduce')
     .add_local_python_source("src.cluster.config", copy=True)
-    .add_local_python_source("src.cluster.ffmpeg_worker.model", copy=True)
+    .add_local_python_source("src.cluster.ffmpeg_worker", copy=True)
+    # .add_local_python_source("ffmpeg_worker", copy=True)
     .add_local_python_source("src.cluster.video_downloader.model", copy=True)
+    # .env({"PYTHONPATH": "/root/src"})
 )
 
 app = modal.App(image=ffmpeg_worker_image, )
@@ -16,16 +19,33 @@ with ffmpeg_worker_image.imports():
     from loguru import logger
     from ffmpeg.asyncio import FFmpeg
     from src.cluster.config import config
+    from src.cluster.ffmpeg_worker.Utils.SentryUtils import SentryUtils
     from src.cluster.ffmpeg_worker.Utils.PathUtils import FileUtils
+    from src.cluster.ffmpeg_worker.Utils.VideoUtils import VideoUtils
+    from src.cluster.ffmpeg_worker.model import FFMpegSliceSegment
     from src.cluster.video_downloader.model import (MediaSources,
                                                     MediaSource,
                                                     MediaCache,
                                                     MediaProtocol,
                                                     MediaCacheStatus)
     from src.cluster.web.model import SentryTransactionInfo
-    from src.cluster.ffmpeg_worker.model import FFMpegSliceSegment
     import shutil, psutil, os, backoff, json, sentry_sdk
     from modal import current_function_call_id
+    import soundfile as sf
+    import pyloudnorm as pyln
+    import noisereduce as nr
+    from pedalboard import (
+        Pedalboard,
+        Compressor,
+        Limiter,
+        HighpassFilter,
+        LowpassFilter,
+        Gain,
+        Reverb,
+        Chorus,
+        Distortion,
+    )
+    from pedalboard.io import AudioFile
 
     sentry_sdk.init(
         dsn="https://75cca970bfcc3d45d24361e7c0f1833c@sentry.bowongai.com/4",
@@ -70,6 +90,41 @@ with ffmpeg_worker_image.imports():
         return (cpu_freq, cpu_count, mem)
 
 
+    def ffmpeg_init():
+        ffmpeg_cmd = FFmpeg().option('y').option('hide_banner')
+
+        @ffmpeg_cmd.on("start")
+        def on_start(arguments: list[str]):
+            try:
+                filter_index = arguments.index("-filter_complex")
+                filter_content = arguments[filter_index + 1]
+                arguments[filter_index + 1] = f'"{filter_content}"'
+                args = " ".join(arguments)
+                logger.info(f"FFmpeg command:{args}")
+                arguments[filter_index + 1] = filter_content
+            except ValueError:
+                args = " ".join(arguments)
+                logger.info(f"FFmpeg command:{args}")
+
+        @ffmpeg_cmd.on("progress")
+        def on_progress(progress):
+            logger.info(f"处理进度: {progress}")
+
+        @ffmpeg_cmd.on("completed")
+        def on_completed():
+            logger.info(f"FFMpeg task completed.")
+
+        @ffmpeg_cmd.on("stderr")
+        def on_stderr(line: str):
+            if line.startswith('Error'):
+                logger.error(line)
+                raise RuntimeError(line)
+            else:
+                logger.warning(line)
+
+        return ffmpeg_cmd
+
+
     @backoff.on_exception(backoff.constant, exception=Exception, max_tries=5, max_time=60, raise_on_giveup=True)
     def local_copy_to_s3(local_outputs: List[str]) -> List[str]:
         s3_outputs = []
@@ -85,8 +140,7 @@ with ffmpeg_worker_image.imports():
 
 
     @app.function(
-        cpu=12, timeout=1800,
-        memory=6144,
+        timeout=1800,
         cloud="aws",
         # region='ap-northeast',
         max_containers=config.ffmpeg_worker_concurrency,
@@ -242,8 +296,7 @@ with ffmpeg_worker_image.imports():
 
 
     @app.function(
-        cpu=12, timeout=900,
-        memory=6144,
+        timeout=900,
         cloud="aws",
         max_containers=config.ffmpeg_worker_concurrency,
         volumes={
@@ -257,6 +310,7 @@ with ffmpeg_worker_image.imports():
     @modal.concurrent(max_inputs=1)
     async def ffmpeg_slice_media(media: MediaSource,
                                  markers: List[FFMpegSliceSegment],
+                                 webhook: Optional[str],  # todo : handle webhook callback
                                  sentry_trace: Optional[SentryTransactionInfo] = None) -> Tuple[
         List[str], Optional[SentryTransactionInfo]]:
 
@@ -269,9 +323,12 @@ with ffmpeg_worker_image.imports():
             ffmpeg_cmd = FFmpeg().option('y').option('hide_banner').input(cache.cache_filepath)
             filter_complex: List[str] = []
             for index, marker in enumerate(media_markers):
-                segment_out_index = f"cut{index}"
-                filter_complex.append(
-                    f"[0]trim=start={marker.start.total_seconds()}:end={marker.end.total_seconds()},setpts=PTS-STARTPTS[{segment_out_index}]")
+                filter_complex.extend(
+                    [
+                        f"[v:0]trim=start={marker.start.total_seconds()}:end={marker.end.total_seconds()},setpts=PTS-STARTPTS[cut{index}]",
+                        f"[a:0]atrim=start={marker.start.total_seconds()}:end={marker.end.total_seconds()},asetpts=PTS-STARTPTS[acut{index}]",
+                    ]
+                )
             ffmpeg_cmd.option('filter_complex', ';'.join(filter_complex))
 
             for i, marker in enumerate(media_markers):
@@ -282,7 +339,83 @@ with ffmpeg_worker_image.imports():
                 os.makedirs(workdir, exist_ok=True)
                 outputs.append(output_filepath)
                 ffmpeg_cmd.output(output_filepath,
-                                  map=f"[cut{i}]",
+                                  map=[f"[cut{i}]", f"[acut{i}]"],
+                                  reset_timestamps="1",
+                                  sc_threshold="0",
+                                  g="1",
+                                  force_key_frames="expr:gte(t,n_forced*1)",
+                                  vcodec="libx264",
+                                  acodec="aac",
+                                  crf=16,
+                                  r=30, )
+
+            @ffmpeg_cmd.on("start")
+            def on_start(arguments: list[str]):
+                try:
+                    filter_index = arguments.index("-filter_complex")
+                    filter_content = arguments[filter_index + 1]
+                    arguments[filter_index + 1] = f'"{filter_content}"'
+                    args = " ".join(arguments)
+                    logger.info(f"FFmpeg command:{args}")
+                    arguments[filter_index + 1] = filter_content
+                except ValueError:
+                    args = " ".join(arguments)
+                    logger.info(f"FFmpeg command:{args}")
+
+            @ffmpeg_cmd.on("progress")
+            def on_progress(progress):
+                logger.info(f"处理进度: {progress}")
+
+            @ffmpeg_cmd.on("completed")
+            def on_completed():
+                logger.info(f"FFMpeg task completed.")
+
+            @ffmpeg_cmd.on("stderr")
+            def on_stderr(line: str):
+                if line.startswith('Error'):
+                    logger.error(line)
+                    raise RuntimeError(line)
+                else:
+                    logger.warning(line)
+
+            await ffmpeg_cmd.execute()
+
+            s3_outputs = local_copy_to_s3(outputs)
+
+            return s3_outputs
+
+        @sentry_sdk.trace
+        async def ffmpeg_hls_slice_process(media_source: MediaSource, media_markers: List[FFMpegSliceSegment],
+                                           fn_id: str) -> List[str]:
+            hls_m3u8_url = media_source.url
+            logger.info(hls_m3u8_url)
+            outputs: List[str] = []
+            ffmpeg_cmd = FFmpeg().option('y').option('hide_banner').input(hls_m3u8_url,
+                                                                          protocol_whitelist="file,http,https,tcp,tls",
+                                                                          reconnect="1",  # 自动重连
+                                                                          reconnect_streamed="1",
+                                                                          reconnect_delay_max="5")
+            filter_complex: List[str] = []
+            for index, marker in enumerate(media_markers):
+                filter_complex.extend(
+                    [
+                        f"[v:0]trim=start={marker.start.total_seconds()}:end={marker.end.total_seconds()},setpts=PTS-STARTPTS[cut{index}]",
+                        f"[a:0]atrim=start={marker.start.total_seconds()}:end={marker.end.total_seconds()},asetpts=PTS-STARTPTS[acut{index}]",
+                    ]
+                )
+            ffmpeg_cmd.option('filter_complex', ';'.join(filter_complex))
+            for i, marker in enumerate(media_markers):
+                paths = hls_m3u8_url.split(".")[:-1]
+                paths.append('mp4')
+                output_filepath = '.'.join(paths)
+                filename = FileUtils.file_path_extend(os.path.basename(output_filepath), str(i))
+                output_filepath = f"{output_path_prefix}/slice/outputs/{fn_id}/{filename}"
+                output_filepath = output_filepath.replace('//', '/')
+                workdir = os.path.dirname(output_filepath)
+                os.makedirs(workdir, exist_ok=True)
+                outputs.append(output_filepath)
+                ffmpeg_cmd.output(output_filepath,
+                                  map=[f"[cut{i}]", f"[acut{i}]"],
                                   reset_timestamps="1",
                                   sc_threshold="0",
                                   g="1",
@@ -348,73 +481,50 @@ with ffmpeg_worker_image.imports():
                 span.set_data('cpu.count', cpu_count)
                 span.set_data('cpu.frequency', f"{cpu_freq.current / 1000:.2f} GHz")
                 span.set_data('memory.available', f"{total_mb} Mb")
-                outputs = await ffmpeg_slice_process(media_source=media, media_markers=markers, fn_id=fn_id)
+                match media.protocol:
+                    case MediaProtocol.hls:
+                        outputs = await ffmpeg_hls_slice_process(media_source=media, media_markers=markers, fn_id=fn_id)
+                    case _:
+                        outputs = await ffmpeg_slice_process(media_source=media, media_markers=markers, fn_id=fn_id)
 
         return outputs, sentry_trace
 
 
-    @app.local_entrypoint()
-    async def test():
-        from ffmpeg import FFmpeg
+    @app.function(
+        timeout=600,
+        cloud="aws",
+        max_containers=config.ffmpeg_worker_concurrency,
+        volumes={
+            s3_mount: modal.CloudBucketMount(
+                bucket_name=config.s3_bucket_name,
+                secret=modal.Secret.from_name("aws-s3-secret",
+                                              environment_name=config.environment),
+            ),
+        },
+    )
+    @modal.concurrent(max_inputs=1)
+    async def ffmpeg_extract_audio(media_source: MediaSource,
+                                   webhook: Optional[str],  # todo handle webhook callback
+                                   sentry_trace: Optional[SentryTransactionInfo] = None) -> Tuple[
+        Optional[str], Optional[SentryTransactionInfo]]:
 
-        async def ffmpeg_process(media_sources: List[str], output_filepath: str) -> None:
-            ffmpeg_cmd = FFmpeg().option('y').option('hide_banner')
+        fn_id = current_function_call_id()
+        cpu_freq, cpu_count, mem = capture_hardware_info()
+        total_mb = mem.total >> 20
+        available_mb = mem.available >> 20
+        logger.info((f"[{fn_id}] Current CPUs {cpu_count} * {cpu_freq.current / 1000:.2f} GHz"))
+        logger.info(f"Current Memories {available_mb} Mb / {total_mb} Mb | {mem.percent}% used")
 
-            input_videos = []
-            for media_source in media_sources:
-                # cache = get_cache_filepath(media_source)
-                ffmpeg_cmd.input(media_source)
-                input_videos.append(media_source)
+        @sentry_sdk.trace
+        async def ffmpeg_process(media: MediaSource, fn_id: str) -> str:
+            cache = get_cache_filepath(media)
+            ffprobe_cmd = FFmpeg('ffprobe').input(cache.cache_filepath,
+                                                  v="quiet",
+                                                  print_format="json",
+                                                  select_streams="a",
+                                                  show_entries="stream=codec_type")
 
-            target_width = 1080
-            target_height = 1920
-
-            # video_info = await print_media_streams_info(media_paths=input_videos)
-
-            filter_complex = []
-            total_videos = len(input_videos)
-
-            # 2. 统一所有视频的格式、分辨率和帧率
-            for i in range(total_videos):
-                filter_complex.extend(
-                    [
-                        # 先缩放到统一分辨率，然后设置帧率和格式
-                        f"[{i}:v]scale={target_width}:{target_height}:force_original_aspect_ratio=decrease,"
-                        f"pad={target_width}:{target_height}:(ow-iw)/2:(oh-ih)/2,"
-                        f"setsar=1:1,"  # 新增强制设置SAR
-                        f"fps=30,format=yuv420p[v{i}]",
-                        f"[{i}:a]aformat=sample_fmts=fltp:sample_rates=44100:channel_layouts=stereo[a{i}]",
-                    ]
-                )
-
-            # 3. 准备处理后的视频流和音频流的连接字符串
-            video_streams = "".join(f"[v{i}]" for i in range(total_videos))
-            audio_streams = "".join(f"[a{i}]" for i in range(total_videos))
-
-            # 4. 使用concat过滤器合并视频和音频
-            filter_complex.extend(
-                [
-                    f"{video_streams}concat=n={total_videos}:v=1:a=0[vconcated]",
-                    f"{audio_streams}concat=n={total_videos}:v=0:a=1[aconcated]",
-                ]
-            )
-
-            ffmpeg_cmd.output(
-                output_filepath,
-                {
-                    "filter_complex": ";".join(filter_complex),
-                    "map": ["[vconcated]", "[aconcated]"],
-                    "vcodec": "libx264",
-                    "crf": 16,
-                    "r": 30,
-                    "acodec": "aac",
-                    "ar": 44100,
-                    "ac": 2,
-                    "ab": "192k",
-                },
-            )
-
-            @ffmpeg_cmd.on("start")
+            @ffprobe_cmd.on("start")
             def on_start(arguments: list[str]):
                 try:
                     filter_index = arguments.index("-filter_complex")
@@ -427,15 +537,15 @@ with ffmpeg_worker_image.imports():
                     args = " ".join(arguments)
                     logger.info(f"FFmpeg command:{args}")
 
-            @ffmpeg_cmd.on("progress")
+            @ffprobe_cmd.on("progress")
             def on_progress(progress):
                 logger.info(f"处理进度: {progress}")
 
-            @ffmpeg_cmd.on("completed")
+            @ffprobe_cmd.on("completed")
             def on_completed():
                 logger.info(f"FFMpeg task completed.")
 
-            @ffmpeg_cmd.on("stderr")
+            @ffprobe_cmd.on("stderr")
             def on_stderr(line: str):
                 if line.startswith('Error'):
                     logger.error(line)
@@ -443,13 +553,125 @@ with ffmpeg_worker_image.imports():
                 else:
                     logger.warning(line)
 
-            ffmpeg_cmd.execute()
+            audio_check_bytes = await ffprobe_cmd.execute()
+            audio_check = json.loads(audio_check_bytes)
+            logger.info(audio_check)
+            if len(audio_check['streams']) == 0:
+                raise RuntimeError(f"Media has no audio streams.")
+            output_path = f"{output_path_prefix}/extract_audio/outputs/{fn_id}/output.wav"
+            os.makedirs(os.path.dirname(output_path), exist_ok=True)
+            ffmpeg_cmd = ffmpeg_init()
+            ffmpeg_cmd.input(cache.cache_filepath).output(output_path,
+                                                          map="0:a",
+                                                          acodec="pcm_s16le",
+                                                          ar=44100,
+                                                          ac=1)
 
-        medias = [
-            "./videos/1397757910405340824_0.mp4",
-            "./videos/1397757910405340824_1.mp4",
-            "./videos/1397757910405340824_2.mp4",
-            "./videos/1397757910405340824_3.mp4",
-            "./videos/1397757910405340824_4.mp4"
-        ]
-        await ffmpeg_process(medias, "./videos/output.mp4")
+            await ffmpeg_cmd.execute()
+            s3_outputs = local_copy_to_s3([output_path])
+            return s3_outputs[0]
+
+        if sentry_trace:
+            transaction = sentry_sdk.continue_trace(environ_or_headers={"sentry-trace": sentry_trace.x_trace_id,
+                                                                        "baggage": sentry_trace.x_baggage, })
+        else:
+            transaction = sentry_sdk.start_transaction(op='modal.function', name="Modal Function直接调用")
+            sentry_trace = SentryTransactionInfo(x_trace_id=sentry_sdk.get_traceparent(),
+                                                 x_baggage=sentry_sdk.get_baggage())
+        with transaction:
+            with transaction.start_child(op='ffmpeg.extract.audio', name='视频切割任务') as span:
+                sentry_sdk.set_tag('fn.id', fn_id)
+                span.set_data('fn.id', fn_id)
+                span.set_data('cpu.count', cpu_count)
+                span.set_data('cpu.frequency', f"{cpu_freq.current / 1000:.2f} GHz")
+                span.set_data('memory.available', f"{total_mb} Mb")
+                match media_source.protocol:
+                    case MediaProtocol.hls:
+                        return None, sentry_trace
+                    case _:
+                        output = await ffmpeg_process(media_source, fn_id=fn_id)
+                        return output, sentry_trace
+
+
+    async def ffmpeg_overlay_gif(media: MediaSource, gif: MediaSource):
+        raise NotImplementedError
+
+
+    @app.function(
+        timeout=600,
+        cloud="aws",
+        max_containers=config.ffmpeg_worker_concurrency,
+        volumes={
+            s3_mount: modal.CloudBucketMount(
+                bucket_name=config.s3_bucket_name,
+                secret=modal.Secret.from_name("aws-s3-secret",
+                                              environment_name=config.environment),
+            ),
+        }, )
+    @modal.concurrent(max_inputs=1)
+    async def ffmpeg_corner_mirror(media: MediaSource,
+                                   mirror_scale_down_size: int = 6,
+                                   mirror_from_right: bool = True,
+                                   mirror_position: tuple[float, float] = (40, 40),
+                                   sentry_trace: Optional[SentryTransactionInfo] = None):
+        fn_id = current_function_call_id()
+
+        @SentryUtils.sentry_tracker(name="视频镜像去重", op="ffmpeg.mirror", fn_id=fn_id,
+                                    sentry_trace_id=sentry_trace.x_trace_id if sentry_trace else None,
+                                    sentry_baggage=sentry_trace.x_baggage if sentry_trace else None)
+        async def ffmpeg_process(media: MediaSource, func_id: str, mirror_scale_down_size: int = 6,
+                                 mirror_from_right: bool = True,
+                                 mirror_position: tuple[float, float] = (40, 40)) -> str:
+            cache = get_cache_filepath(media)
+            media_filepath = cache.cache_filepath
+            video_metadata = VideoUtils.ffprobe_video_format(media_filepath)
+            mirror_x = (
+                f"main_w-overlay_w-{mirror_position[0]}"
+                if mirror_from_right
+                else str(mirror_position[0])
+            )
+            filter_complex = [
+                "[0:v]split[original][mirror]",
+                f"[mirror]hflip,scale=iw/{mirror_scale_down_size}:-1,format=rgba[flipped]",
+                "[flipped]split[fm1][fm2]",
+                f"[fm2]format=gray,geq=lum='255*(1-pow(min(1,2*sqrt(pow(X/W-0.5,2)+pow(Y/H-0.5,2))),1.5))':a='if(lt(pow(X/W-0.5,2)+pow(Y/H-0.5,2),0.15),(1-pow(2*sqrt(pow(X/W-0.5,2)+pow(Y/H-0.5,2)),1.5))*255,0)'[fm2Blur]",
+                "[fm1][fm2Blur]alphamerge[flipped_blured]",
+                f"[original][flipped_blured]overlay=x={mirror_x}:y=main_h-overlay_h-{mirror_position[1]}[video]",
+            ]
+
+            output_path = f"{output_path_prefix}/corner_mirror/outputs/{func_id}/output.mp4"
+            os.makedirs(os.path.dirname(output_path), exist_ok=True)
+            ffmpeg_cmd = ffmpeg_init()
+
+            ffmpeg_cmd.input(media_filepath).output(output_path,
+                                                    options={
+                                                        "filter_complex": ";".join(filter_complex)
+                                                    },
+                                                    map=["[video]", "0:a"],
+                                                    vcodec="libx264",
+                                                    crf=16,
+                                                    b=video_metadata.video_bitrate,  # 视频码率
+                                                    r=video_metadata.video_frame_rate  # 帧率
+                                                    )
+            await ffmpeg_cmd.execute()
+            s3_outputs = local_copy_to_s3([output_path])
+            return s3_outputs[0]
+
+        result = await ffmpeg_process(media=media, mirror_scale_down_size=mirror_scale_down_size, func_id=fn_id,
+                                      mirror_from_right=mirror_from_right, mirror_position=mirror_position)
+        if not sentry_trace:
+            sentry_trace = SentryTransactionInfo(x_trace_id=sentry_sdk.get_traceparent(),
+                                                 x_baggage=sentry_sdk.get_baggage())
+        return result, sentry_trace
+
+
+    async def ffmpeg_zoom_loop(media: MediaSource, duration: int = 6, zoom: float = 0.1):
+        raise NotImplementedError
+
+
+    async def ffmpeg_bgm_nosie_reduce(media: MediaSource, bgm: MediaSource, ):
+        raise NotImplementedError
+
+
+    async def ffmpeg_subtitle_apply(media: MediaSource, subtitle: MediaSource):
+        raise NotImplementedError

src/cluster/video_downloader/model.py

@@ -1,3 +1,4 @@
+import os
 from datetime import datetime
 from enum import Enum
 from typing import List, Union, Optional, Any, Dict
@@ -10,6 +11,7 @@ class MediaProtocol(str, Enum):
     s3 = "s3"
     vod = "vod"
     cos = "cos"
+    hls = "hls"
 
 
 class MediaCacheStatus(str, Enum):
@@ -30,19 +32,43 @@ class MediaSource(BaseModel):
     @classmethod
     def from_str(cls, mediaUrl: str) -> 'MediaSource':
         if mediaUrl.startswith('http://') or mediaUrl.startswith('https://'):
-            return MediaSource(url=mediaUrl, protocol=MediaProtocol.http, cache_key=mediaUrl)
+            return MediaSource(url=mediaUrl,
+                               protocol=MediaProtocol.http,
+                               endpoint=None,
+                               bucket=None,
+                               cache_key=mediaUrl)
         elif mediaUrl.startswith('s3://'):  # s3://{endpoint}/{bucket}/{url}
             paths = mediaUrl[5:].split('/')
-            return MediaSource(url='/'.join(paths[2:]), protocol=MediaProtocol.s3, endpoint=paths[0], bucket=paths[1],
+            return MediaSource(url='/'.join(paths[2:]),
+                               protocol=MediaProtocol.s3,
+                               endpoint=paths[0],
+                               bucket=paths[1],
                                cache_key=mediaUrl)
         elif mediaUrl.startswith('vod://'):  # vod://{endpoint}/{subAppId}/{fileId}
             paths = mediaUrl[6:].split('/')
-            return MediaSource(url=paths[2], protocol=MediaProtocol.vod, bucket=paths[1], endpoint=paths[0],
+            # 兼容有文件类型后缀和没有文件类型后缀的格式
+            url = paths[2] if '.' in os.path.basename(paths[2]) else paths[2] + ".mp4"
+            return MediaSource(url=url,
+                               protocol=MediaProtocol.vod,
+                               bucket=paths[1],
+                               endpoint=paths[0],
                                cache_key=mediaUrl)
         elif mediaUrl.startswith('cos://'):  # cos://{endpoint}/{bucket}/{url}
             paths = mediaUrl[6:].split('/')
-            return MediaSource(url='/'.join(paths[2:]), protocol=MediaProtocol.cos, endpoint=paths[0], bucket=paths[1],
+            return MediaSource(url='/'.join(paths[2:]),
+                               protocol=MediaProtocol.cos,
+                               endpoint=paths[0],
+                               bucket=paths[1],
                                cache_key=mediaUrl)
+        elif mediaUrl.startswith('hls://'):
+            # hls://merge-local-1324682537.cos.ap-shanghai.myqcloud.com/streams/1264/30322.m3u8
+            paths = mediaUrl[6:]
+            return MediaSource(url=f"https://{paths}",
+                               protocol=MediaProtocol.hls,
+                               endpoint=None,
+                               bucket=None,
+                               cache_key=mediaUrl
+                               )
         else:
             raise ValidationError("mediaUrl必须以http[s]、s3或vod协议开头")
 
@@ -60,16 +86,25 @@ class MediaSource(BaseModel):
         }
 
     def get_cdn_url(self) -> str:
-        if self.protocol == MediaProtocol.vod:
-            return f"{self.protocol.value}/{self.endpoint}/{self.bucket}/{self.url}.mp4"
-        elif self.protocol == MediaProtocol.s3:
+        if self.protocol == MediaProtocol.s3:
             return f"{self.url}"
+        elif self.protocol == MediaProtocol.http:
+            return f"{self.protocol.value}/{self.url}"
         return f"{self.protocol.value}/{self.endpoint}/{self.bucket}/{self.url}"
 
 
+class CachedMediaSource(MediaSource):
+    cached_s3_path: str = Field(description="s3上的相对缓存路径")
+
+
 class MediaSources(BaseModel):
     inputs: List[MediaSource] = Field(examples=[
-        ["vod://ap-shanghai/1500034234/1397757910405340824", "vod://ap-shanghai/1500034234/1397757910403699452"]])
+        [
+            "vod://ap-shanghai/1500034234/1397757910405340824.mp4",
+            "vod://ap-shanghai/1500034234/1397757910403699452.mp4",
+            "s3://ap-northeast-2/modal-media-cache/concat/outputs/fc-01JTPV5FCNA74CKX3N3214XJPD/output.mp4"
+        ]
+    ], description="支持多种协议['vod://', 's3://'], 计划支持['cos://', http://]")
 
     @field_validator('inputs', mode='before')
     @classmethod

src/cluster/video_downloader/worker.py

@@ -118,7 +118,8 @@ with downloader_image.imports():
             logger.info(f"Downloading media {media}")
             request = vod_request_models.DescribeMediaInfosRequest()
             request.SubAppId = int(media.bucket)
-            request.FileIds = [media.url]
+            # 兼容fileId带文件类型的格式和不带文件类型的格式
+            request.FileIds = [media.url.split('.')[0] if '.' in media.url else media.url]
             response = vod_client.DescribeMediaInfos(request)
             if len(response.MediaInfoSet) > 0:
                 media_info = response.MediaInfoSet[0].BasicInfo
@@ -138,34 +139,42 @@ with downloader_image.imports():
                                 on_progress_callback=on_progress_update)
             return local_cache_filepath
 
-        def download_large_file(url: str, output_path: str, on_progress_callback: callable(float) = None) -> None:
+        def download_large_file(url: str, output_path: str, protocol: MediaProtocol = MediaProtocol.vod,
+                                on_progress_callback: callable(float) = None) -> None:
             # 配置日志
             logger.info(f"Starting download from {url}")
             try:
                 # 使用 httpx 发送 HEAD 请求获取文件大小
+                # 设置请求头，支持断点续传
+                headers = {'Range': 'bytes=0-'}
                 with httpx.Client() as client:
-                    head_response = client.head(url)
-                    file_size = int(head_response.headers.get('content-length', 0))
-                    remote_crc64 = int(head_response.headers.get('X-Cos-Hash-Crc64ecma', 0))
-                    logger.info(f"File size: {file_size / (1024 * 1024 * 1024):.2f} GB")
-                    # 设置请求头，支持断点续传
-                    headers = {'Range': 'bytes=0-'}
-                    if os.path.exists(output_path):
-                        local_file_size = os.path.getsize(output_path)
-                        logger.info(f"File size match check {local_file_size} = {file_size}")
-                        if local_file_size == file_size:
-                            logger.info(f"Check file CRC64...")
-                            # CRC64使用ECMA-182标准校验 ref: https://cloud.tencent.com/document/product/436/40334#python-sdk
-                            c64 = crcmod.mkCrcFun(0x142F0E1EBA9EA3693, initCrc=0, xorOut=0xffffffffffffffff, rev=True)
-                            with open(output_path, "rb") as local_file:
-                                local_crc64 = c64(local_file.read())
-                            logger.info(f"File crc64 check {local_crc64} = {remote_crc64}")
-                            if local_crc64 == remote_crc64:
-                                logger.success("File size verification passed!")
-                            return
-                        # 发起流式请求
+                    match protocol:
+                        case MediaProtocol.vod:
+                            head_response = client.head(url)
+                            file_size = int(head_response.headers.get('content-length', 0))
+                            remote_crc64 = int(head_response.headers.get('X-Cos-Hash-Crc64ecma', 0))
+                            logger.info(f"File size: {file_size / (1024 * 1024 * 1024):.2f} GB")
+
+                            if os.path.exists(output_path):
+                                local_file_size = os.path.getsize(output_path)
+                                logger.info(f"File size match check {local_file_size} = {file_size}")
+                                if local_file_size == file_size:
+                                    logger.info(f"Check file CRC64...")
+                                    # CRC64使用ECMA-182标准校验 ref: https://cloud.tencent.com/document/product/436/40334#python-sdk
+                                    c64 = crcmod.mkCrcFun(0x142F0E1EBA9EA3693, initCrc=0, xorOut=0xffffffffffffffff,
+                                                          rev=True)
+                                    with open(output_path, "rb") as local_file:
+                                        local_crc64 = c64(local_file.read())
+                                    logger.info(f"File crc64 check {local_crc64} = {remote_crc64}")
+                                    if local_crc64 == remote_crc64:
+                                        logger.success("File size verification passed!")
+                                    return
+
+                    logger.info(f"Downloading {url}...")
+                    # 发起流式请求
                     with client.stream('GET', url, headers=headers) as response:
                         response.raise_for_status()
+                        file_size = int(response.headers.get('content-length', 0))
                         # 设置进度条
                         progress_bar = tqdm(
                             total=file_size,
@@ -187,7 +196,8 @@ with downloader_image.imports():
                                     progress_bar.update(len(chunk))
                                     # 每下载100MB记录一次日志
                                     if downloaded_size % (100 * 1024 * 1024) == 0:
-                                        logger.info(f"Downloaded: {downloaded_size / (1024 * 1024 * 1024):.2f} GB")
+                                        logger.info(
+                                            f"Downloaded: {downloaded_size / (1024 * 1024 * 1024):.2f} GB")
 
                         progress_bar.close()
 
@@ -242,22 +252,32 @@ with downloader_image.imports():
                     process_span.set_data("messaging.message.retry.count", 0)
                     process_span.set_data("cache.key", media.cache_key)
                     volume_cache_path = None
+                    media_cache_downloading = MediaCache(status=MediaCacheStatus.downloading,
+                                                         downloader_id=fn_id)
                     match media.protocol:
                         case MediaProtocol.vod:
-                            media_cache_downloading = MediaCache(status=MediaCacheStatus.downloading,
-                                                                 downloader_id=fn_id)
-
-                            def on_progress_callback(progress: float):
-                                media_cache_downloading.progress = progress
-                                caches_data = {media.cache_key: media_cache_downloading}
-                                modal_kv.put(media.cache_key, media_cache_downloading.model_dump_json())
-                                batch_update_cloudflare_kv(caches_data)
+                            # def on_progress_callback(progress: float):
+                            #     media_cache_downloading.progress = progress
+                            #     caches_data = {media.cache_key: media_cache_downloading}
+                            #     modal_kv.put(media.cache_key, media_cache_downloading.model_dump_json())
+                            #     batch_update_cloudflare_kv(caches_data)
 
                             try:
                                 volume_cache_path = vod_download(media)
                                 process_span.set_status("success")
                             except Exception as e:
-                                logger.error(f"An unexpected error occurred: {str(e)}")
+                                logger.exception(e)
+                                media_cache_downloading.status = MediaCacheStatus.failed
+                                caches = {f"{media.cache_key}": media_cache_downloading}
+                                modal_kv.put(media.cache_key, media_cache_downloading)
+                                batch_update_cloudflare_kv(caches)
+                                process_span.set_status("failed")
+                        case MediaProtocol.http:
+                            try:
+
+                                download_large_file(url=url, output_path=local_cache_filepath)
+                            except Exception as e:
+                                logger.exception(e)
                                 media_cache_downloading.status = MediaCacheStatus.failed
                                 caches = {f"{media.cache_key}": media_cache_downloading}
                                 modal_kv.put(media.cache_key, media_cache_downloading)

src/cluster/web/model.py

@@ -1,6 +1,6 @@
 from enum import Enum
 from typing import List, Union, Any, Optional
-from pydantic import BaseModel, Field, field_validator, ConfigDict
+from pydantic import BaseModel, Field, field_validator, ConfigDict, HttpUrl
 from src.cluster.ffmpeg_worker.model import FFMpegSliceSegment
 from src.cluster.video_downloader.model import MediaSource, MediaSources
 
@@ -15,21 +15,6 @@ class SentryTransactionInfo(BaseModel):
     x_baggage: str = Field(description="Sentry Transaction baggage")
 
 
-class FFMPEGSliceRequest(BaseModel):
-    media: MediaSource = Field(description="FFMPEG Slice Media Source")
-    markers: List[FFMpegSliceSegment] = Field(description="FFMPEG Slice Marker List")
-
-    @field_validator('media', mode='before')
-    @classmethod
-    def parse_inputs(cls, v: Union[str, MediaSource]):
-        if isinstance(v, str):
-            return MediaSource.from_str(v)
-        elif isinstance(v, MediaSource):
-            return v
-        else:
-            raise TypeError(v)
-
-
 class FFMPEGSliceTaskStatusRequest(BaseModel):
     taskId: str = Field(description="任务Id")
 
@@ -46,16 +31,98 @@ class TaskStatus(str, Enum):
     expired = "expired"
 
 
+class ErrorCode(int, Enum):
+    SUCCESS = 0
+    PARAM_ERROR = 10001
+    NOT_FOUND = 10002
+    UNAUTHORIZED = 10003
+    FORBIDDEN = 10004
+    BUSINESS_ERROR = 10005
+    SYSTEM_ERROR = 99999
+
+
+class WebhookMethodEnum(str, Enum):
+    GET = "get"
+    POST = "post"
+
+
+class WebhookNotify(BaseModel):
+    endpoint: HttpUrl = Field(description="Webhook回调端点", examples=["https://webhook.example.com"])
+    method: WebhookMethodEnum = Field(description="Webhook回调请求方法", examples=["get", "post"])
+    authentication: Optional[str] = Field(description="Webhook authentication回调请求降权token，如不需要鉴权则不填",
+                                          examples=["Bearer 123456"])
+
+
+class BaseFFMPEGTaskRequest(BaseModel):
+    webhook: Optional[WebhookNotify] = Field(description="Task webhook", default=None)
+
+
 class BaseFFMPEGTaskStatusResponse(BaseModel):
     taskId: str = Field(description="任务Id")
     status: TaskStatus = Field(description="任务运行状态")
     error: Optional[str] = Field(description="任务错误原因", default=None)
+    code: Optional[int] = Field(description="任务错误原因代码", default=None)
 
     model_config = ConfigDict(extra='ignore')
 
 
+class FFMPEGSliceRequest(BaseFFMPEGTaskRequest):
+    media: MediaSource = Field(description="待切割的媒体源")
+    markers: List[FFMpegSliceSegment] = Field(description="切割标记数组")
+
+    @field_validator('media', mode='before')
+    @classmethod
+    def parse_inputs(cls, v: Union[str, MediaSource]):
+        if isinstance(v, str):
+            return MediaSource.from_str(v)
+        elif isinstance(v, MediaSource):
+            return v
+        else:
+            raise TypeError(v)
+
+
 class FFMPEGSliceTaskStatusResponse(BaseFFMPEGTaskStatusResponse):
     result: Optional[List[str]] = Field(default=None, description="任务运行结果")
 
+
+class FFMPEGConcatRequest(BaseFFMPEGTaskRequest):
+    medias: MediaSources = Field(description="待合并的媒体源")
+
+
 class FFMPEGConcatTaskStatusResponse(BaseFFMPEGTaskStatusResponse):
-    result: Optional[str] = Field(default=None, description="任务运行结果")
+    result: Optional[str] = Field(default=None, description="任务运行结果")
+
+
+class FFMPEGExtractAudioRequest(BaseFFMPEGTaskRequest):
+    media: MediaSource = Field(description="待提取音频的媒体源")
+
+    @field_validator('media', mode='before')
+    @classmethod
+    def parse_inputs(cls, v: Union[str, MediaSource]):
+        if isinstance(v, str):
+            return MediaSource.from_str(v)
+        elif isinstance(v, MediaSource):
+            return v
+        else:
+            raise TypeError(v)
+
+
+class FFMPEGExtractAudioTaskStatusResponse(BaseFFMPEGTaskStatusResponse):
+    result: Optional[str] = Field(default=None, description="任务运行结果")
+
+
+class FFMPEGCornerMirrorRequest(BaseFFMPEGTaskRequest):
+    media: MediaSource = Field(description="")
+
+    @field_validator('media', mode='before')
+    @classmethod
+    def parse_inputs(cls, v: Union[str, MediaSource]):
+        if isinstance(v, str):
+            return MediaSource.from_str(v)
+        elif isinstance(v, MediaSource):
+            return v
+        else:
+            raise TypeError(v)
+
+class FFMPEGCornerMirrorTaskStatusResponse(BaseFFMPEGTaskStatusResponse):
+    result: Optional[str] = Field(default=None, description="任务运行结果")

src/cluster/web/worker.py

@@ -24,14 +24,23 @@ with fastapi_image.imports():
     from starlette import status
     from scalar_fastapi import get_scalar_api_reference
     import sentry_sdk
-    from sentry_sdk.integrations.loguru import LoguruIntegration
-    from sentry_sdk.integrations.loguru import LoggingLevels
+    from sentry_sdk.integrations.loguru import LoguruIntegration, LoggingLevels
     from sentry_sdk.integrations.fastapi import FastApiIntegration
     from src.cluster.config import config
-    from src.cluster.video_downloader.model import MediaSource, MediaSources, MediaCacheStatus, MediaCache, \
-        CacheResult, DownloadResult
-    from src.cluster.web.model import SentryTransactionInfo, SentryTransactionHeader, FFMPEGSliceRequest, \
-        FFMPEGSliceTaskStatusResponse, FFMPEGConcatTaskStatusResponse, TaskStatus, ModalTaskResponse
+    from src.cluster.video_downloader.model import (MediaSource, MediaSources, MediaCacheStatus, MediaCache,
+                                                    CacheResult, DownloadResult)
+    from src.cluster.web.model import (TaskStatus, ErrorCode,
+                                       SentryTransactionInfo,
+                                       SentryTransactionHeader,
+                                       ModalTaskResponse,
+                                       FFMPEGSliceRequest,
+                                       FFMPEGConcatRequest,
+                                       FFMPEGExtractAudioRequest,
+                                       FFMPEGCornerMirrorRequest,
+                                       FFMPEGSliceTaskStatusResponse,
+                                       FFMPEGConcatTaskStatusResponse,
+                                       FFMPEGExtractAudioTaskStatusResponse,
+                                       FFMPEGCornerMirrorTaskStatusResponse)
 
     fastapi_app = modal.App(image=fastapi_image)
 
@@ -148,39 +157,51 @@ with fastapi_image.imports():
 
         @sentry_sdk.trace
         async def get_modal_task_status(task_id: str) -> Tuple[
-            TaskStatus, Optional[str], Optional[Any], Optional[SentryTransactionInfo]]:
+            TaskStatus, Optional[int], Optional[str], Optional[Any], Optional[SentryTransactionInfo]]:
             """
 
             :param task_id:
-            :return: (TaskStaus, errorReason, results, sentryTransactionInfo)
+            :return: (TaskStaus, errorCode, errorReason, results, sentryTransactionInfo)
             """
-            fn_task = modal.FunctionCall.from_id(task_id)
-            call_graph = fn_task.get_call_graph()
-            task = call_graph[0]
-            match task.status:
-                case InputStatus.PENDING:
-                    return TaskStatus.running, None, None, None
-                case InputStatus.SUCCESS:
-                    try:
-                        results, sentry_trace = fn_task.get(timeout=2)
-                        return TaskStatus.success, None, results, sentry_trace
-                    except modal.exception.OutputExpiredError:
-                        return TaskStatus.expired, None, None, None
-                    except TimeoutError:
-                        return TaskStatus.running, None, None, None
-                    except Exception as e:
-                        logger.exception(e)
-                        raise e
-                case _:
-                    error = 'FAILURE'
-                    match task.status:
-                        case InputStatus.INIT_FAILURE:
-                            error = 'INIT_FAILURE'
-                        case InputStatus.TERMINATED:
-                            error = 'TERMINATED'
-                        case InputStatus.TIMEOUT:
-                            error = 'TIMEOUT'
-                    return TaskStatus.failed, error, None, None
+            try:
+                fn_task = modal.FunctionCall.from_id(task_id)
+                call_graph = fn_task.get_call_graph()
+                root = call_graph[0]
+                if len(root.children) == 0:
+                    return TaskStatus.expired, ErrorCode.NOT_FOUND.value, "NOT_FOUND", None, None
+                task = root.children[0]
+                if not task.function_call_id == task_id:
+                    return TaskStatus.expired, ErrorCode.NOT_FOUND.value, "NOT_FOUND", None, None
+
+                logger.info(task)
+                logger.info(f"Task function call status: {task.status}")
+                match task.status:
+                    case InputStatus.PENDING:
+                        return TaskStatus.running, None, None, None, None
+                    case InputStatus.SUCCESS:
+                        try:
+                            results, sentry_trace = fn_task.get(timeout=2)
+                            return TaskStatus.success, ErrorCode.SUCCESS.value, None, results, sentry_trace
+                        except modal.exception.OutputExpiredError:
+                            return TaskStatus.expired, ErrorCode.NOT_FOUND.value, "EXPIRED", None, None
+                        except TimeoutError:
+                            return TaskStatus.running, None, None, None, None
+                        except Exception as e:
+                            logger.exception(e)
+                            return TaskStatus.failed, ErrorCode.SYSTEM_ERROR.value, 'FAILURE', None, None
+                    case _:
+                        error = 'FAILURE'
+                        match task.status:
+                            case InputStatus.INIT_FAILURE:
+                                error = 'INIT_FAILURE'
+                            case InputStatus.TERMINATED:
+                                error = 'TERMINATED'
+                            case InputStatus.TIMEOUT:
+                                error = 'TIMEOUT'
+                        return TaskStatus.failed, ErrorCode.SYSTEM_ERROR.value, error, None, None
+            except Exception as e:
+                logger.exception(e)
+                return TaskStatus.failed, ErrorCode.NOT_FOUND.value, "NOT_FOUND", None, None
 
         @web_app.get("/scalar", include_in_schema=False)
         async def scalar():
@@ -352,19 +373,21 @@ with fastapi_image.imports():
                      },
                      dependencies=[Depends(verify_token)])
         async def slice_media(task_id: str, response: Response) -> FFMPEGSliceTaskStatusResponse:
-            task_status, reason, results, transaction = await get_modal_task_status(task_id)
+            task_status, code, reason, results, transaction = await get_modal_task_status(task_id)
             if transaction:
                 response.headers["x-trace-id"] = transaction.x_trace_id
                 response.headers["x-baggage"] = transaction.x_baggage
-            return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=task_status, error=reason, result=results)
+            return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=task_status, code=code, error=reason,
+                                                 result=results)
 
         @web_app.post("/ffmpeg/concat",
                       tags=["发起任务"],
                       summary="发起合并任务",
                       description="依据AI分析的结果发起合并任务",
                       dependencies=[Depends(verify_token)])
-        async def concat_media(medias: MediaSources,
+        async def concat_media(body: FFMPEGConcatRequest,
                                headers: Annotated[SentryTransactionHeader, Header()]) -> ModalTaskResponse:
+            medias = body.medias
             fn = modal.Function.from_name(config.app_name, "ffmpeg_concat_medias",
                                           environment_name=config.environment)
             sentry_trace = None
@@ -385,10 +408,81 @@ with fastapi_image.imports():
                      },
                      dependencies=[Depends(verify_token)])
         async def concat_media_status(task_id: str, response: Response) -> FFMPEGConcatTaskStatusResponse:
-            task_status, reason, results, transaction = await get_modal_task_status(task_id)
+            task_status, code, reason, results, transaction = await get_modal_task_status(task_id)
             if transaction:
                 response.headers["x-trace-id"] = transaction.x_trace_id
                 response.headers["x-baggage"] = transaction.x_baggage
-            return FFMPEGConcatTaskStatusResponse(taskId=task_id, status=task_status, error=reason, result=results)
+            return FFMPEGConcatTaskStatusResponse(taskId=task_id, status=task_status,
+                                                  code=code, error=reason,
+                                                  result=results)
+
+        @web_app.post("/ffmpeg/extract-audio",
+                      tags=["发起任务"],
+                      summary="发起音频提取任务",
+                      description="提取视频文件的音频",
+                      dependencies=[Depends(verify_token)]
+                      )
+        async def extract_audio(body: FFMPEGExtractAudioRequest,
+                                headers: Annotated[SentryTransactionHeader, Header()]) -> ModalTaskResponse:
+            media = body.media
+            fn = modal.Function.from_name(config.app_name, "ffmpeg_extract_audio",
+                                          environment_name=config.environment)
+            sentry_trace = None
+            if headers.x_trace_id and headers.x_baggage:
+                sentry_trace = SentryTransactionInfo(x_trace_id=headers.x_trace_id, x_baggage=headers.x_baggage)
+            fn_call = fn.spawn(media, sentry_trace)
+            return ModalTaskResponse(success=True, taskId=fn_call.object_id)
+
+        @web_app.get("/ffmpeg/extract-audio/{task_id}",
+                     tags=["查询任务"],
+                     summary="查询音频提取任务状态",
+                     description="查询音频提取任务状态",
+                     responses={
+                         status.HTTP_200_OK: {
+                             "description": "",
+                             "headers": sentry_header_schema
+                         },
+                     },
+                     dependencies=[Depends(verify_token)])
+        async def extract_audio_status(task_id: str, response: Response) -> FFMPEGExtractAudioTaskStatusResponse:
+            task_status, code, reason, results, transaction = await get_modal_task_status(task_id)
+            if transaction:
+                response.headers["x-trace-id"] = transaction.x_trace_id
+                response.headers["x-baggage"] = transaction.x_baggage
+
+            return FFMPEGExtractAudioTaskStatusResponse(taskId=task_id, status=task_status, code=code,
+                                                        error=reason, result=results)
+
+        @web_app.post("/ffmpeg/corner-mirror", tags=["发起任务"], summary="发起镜像小窗去重任务",
+                      description="发起镜像小窗去重任务", dependencies=[Depends(verify_token)])
+        async def corner_mirror(body: FFMPEGCornerMirrorRequest,
+                                headers: Annotated[SentryTransactionHeader, Header()]) -> ModalTaskResponse:
+            media = body.media
+            fn = modal.Function.from_name(config.app_name, "ffmpeg_corner_mirror",
+                                          environment_name=config.environment)
+            sentry_trace = None
+            if headers.x_trace_id and headers.x_baggage:
+                sentry_trace = SentryTransactionInfo(x_trace_id=headers.x_trace_id, x_baggage=headers.x_baggage)
+            fn_call = fn.spawn(media=media, sentry_trace=sentry_trace)
+            return ModalTaskResponse(success=True, taskId=fn_call.object_id)
+
+        @web_app.get("/ffmpeg/corner-mirror/{task_id}",
+                     tags=["查询任务"],
+                     summary="查询镜像小窗去重任务状态",
+                     description="<UNK>",
+                     responses={
+                         status.HTTP_200_OK: {
+                             "description": "",
+                             "headers": sentry_header_schema
+                         },
+                     },
+                     dependencies=[Depends(verify_token)])
+        async def corner_mirror_status(task_id: str, response: Response) -> FFMPEGCornerMirrorTaskStatusResponse:
+            task_status, code, reason, result, transaction = await get_modal_task_status(task_id)
+            if transaction:
+                response.headers["x-trace-id"] = transaction.x_trace_id
+                response.headers["x-baggage"] = transaction.x_baggage
+            return FFMPEGCornerMirrorTaskStatusResponse(taskId=task_id, status=task_status, code=code,
+                                                        error=reason, result=result)
 
         return web_app

uv.lock

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+[[package]]
+name = "cffi"
+version = "1.17.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621 }
+wheels = [
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+
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 version = "3.4.2"
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