0274bb470a
- app/models/video_models.py: ExtractFramesRequest, VideoToTextRequest, FrameInfo, VideoJobCallback, VideoAcceptedResponse - app/services/video_service.py: interval+keyframe frame extraction, uniform-sample video-to-text, HTTP callback, temp file cleanup - app/routers/video.py: size check helper (_check_video_size via head_object), BackgroundTasks enqueue for both endpoints - tests: 6 service + 4 router tests, 10/10 passing
39 lines
732 B
Python
39 lines
732 B
Python
from pydantic import BaseModel
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class ExtractFramesRequest(BaseModel):
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file_path: str
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source_id: int
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job_id: int
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mode: str = "interval"
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frame_interval: int = 30
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class VideoToTextRequest(BaseModel):
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file_path: str
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source_id: int
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job_id: int
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start_sec: float
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end_sec: float
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model: str | None = None
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prompt_template: str | None = None
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class FrameInfo(BaseModel):
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frame_index: int
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time_sec: float
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frame_path: str
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class VideoJobCallback(BaseModel):
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job_id: int
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status: str
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frames: list[FrameInfo] | None = None
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output_path: str | None = None
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error_message: str | None = None
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class VideoAcceptedResponse(BaseModel):
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message: str
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job_id: int
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