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https://github.com/Significant-Gravitas/AutoGPT.git
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feat(blocks): migrate MediaDurationBlock from media.py
Per review feedback from @majdyz - consolidating video blocks
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71
autogpt_platform/backend/backend/blocks/video/duration.py
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71
autogpt_platform/backend/backend/blocks/video/duration.py
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"""MediaDurationBlock - Get the duration of a media file."""
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from moviepy.audio.io.AudioFileClip import AudioFileClip
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from moviepy.video.io.VideoFileClip import VideoFileClip
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from backend.data.block import (
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Block,
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BlockCategory,
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BlockOutput,
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BlockSchemaInput,
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BlockSchemaOutput,
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)
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from backend.data.model import SchemaField
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from backend.util.file import MediaFileType, get_exec_file_path, store_media_file
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class MediaDurationBlock(Block):
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"""Get the duration of a media file."""
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class Input(BlockSchemaInput):
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media_in: MediaFileType = SchemaField(
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description="Media input (URL, data URI, or local path)."
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)
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is_video: bool = SchemaField(
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description="Whether the media is a video (True) or audio (False).",
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default=True,
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)
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class Output(BlockSchemaOutput):
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duration: float = SchemaField(
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description="Duration of the media file (in seconds)."
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)
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def __init__(self):
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super().__init__(
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id="d8b91fd4-da26-42d4-8ecb-8b196c6d84b6",
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description="Block to get the duration of a media file.",
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categories={BlockCategory.MULTIMEDIA},
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input_schema=MediaDurationBlock.Input,
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output_schema=MediaDurationBlock.Output,
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)
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async def run(
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self,
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input_data: Input,
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*,
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graph_exec_id: str,
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user_id: str,
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**kwargs,
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) -> BlockOutput:
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# 1) Store the input media locally
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local_media_path = await store_media_file(
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graph_exec_id=graph_exec_id,
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file=input_data.media_in,
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user_id=user_id,
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return_content=False,
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)
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media_abspath = get_exec_file_path(graph_exec_id, local_media_path)
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# 2) Load the clip
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clip = None
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try:
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if input_data.is_video:
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clip = VideoFileClip(media_abspath)
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else:
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clip = AudioFileClip(media_abspath)
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yield "duration", clip.duration
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finally:
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if clip:
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clip.close()
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