mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-04-08 03:00:28 -04:00
feat(platform): Add multimedia file support & add basic Video blocks
This commit is contained in:
Zamil Majdy
@@ -3,6 +3,7 @@ from typing import Any, List
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from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
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from backend.data.model import SchemaField
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from backend.util.file import store_temp_file
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from backend.util.mock import MockObject
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from backend.util.text import TextFormatter
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from backend.util.type import convert
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@@ -10,6 +11,41 @@ from backend.util.type import convert
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formatter = TextFormatter()
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class FileStoreBlock(Block):
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class Input(BlockSchema):
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file_in: str = SchemaField(
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description="The file to store in the temporary directory, it can be a URL, data URI, or local path."
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)
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class Output(BlockSchema):
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file_out: str = SchemaField(
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description="The relative path to the stored file in the temporary directory."
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)
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def __init__(self):
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super().__init__(
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id="cbb50872-625b-42f0-8203-a2ae78242d8a",
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description="Stores the input file in the temporary directory.",
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categories={BlockCategory.BASIC, BlockCategory.MULTIMEDIA},
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input_schema=FileStoreBlock.Input,
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output_schema=FileStoreBlock.Output,
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)
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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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**kwargs,
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) -> BlockOutput:
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file_path = store_temp_file(
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exec_id=graph_exec_id,
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file=input_data.file_in,
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return_content=False,
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)
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yield "file_out", file_path
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class StoreValueBlock(Block):
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"""
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This block allows you to provide a constant value as a block, in a stateless manner.
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@@ -151,7 +151,7 @@ class IdeogramModelBlock(Block):
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super().__init__(
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id="6ab085e2-20b3-4055-bc3e-08036e01eca6",
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description="This block runs Ideogram models with both simple and advanced settings.",
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categories={BlockCategory.AI},
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categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
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input_schema=IdeogramModelBlock.Input,
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output_schema=IdeogramModelBlock.Output,
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test_input={
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@@ -131,7 +131,7 @@ class ReplicateFluxAdvancedModelBlock(Block):
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super().__init__(
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id="90f8c45e-e983-4644-aa0b-b4ebe2f531bc",
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description="This block runs Flux models on Replicate with advanced settings.",
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categories={BlockCategory.AI},
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categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
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input_schema=ReplicateFluxAdvancedModelBlock.Input,
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output_schema=ReplicateFluxAdvancedModelBlock.Output,
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test_input={
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@@ -78,7 +78,7 @@ class CreateTalkingAvatarVideoBlock(Block):
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super().__init__(
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id="98c6f503-8c47-4b1c-a96d-351fc7c87dab",
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description="This block integrates with D-ID to create video clips and retrieve their URLs.",
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categories={BlockCategory.AI},
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categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
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input_schema=CreateTalkingAvatarVideoBlock.Input,
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output_schema=CreateTalkingAvatarVideoBlock.Output,
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test_input={
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@@ -53,7 +53,7 @@ class UnrealTextToSpeechBlock(Block):
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super().__init__(
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id="4ff1ff6d-cc40-4caa-ae69-011daa20c378",
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description="Converts text to speech using the Unreal Speech API",
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categories={BlockCategory.AI, BlockCategory.TEXT},
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categories={BlockCategory.AI, BlockCategory.TEXT, BlockCategory.MULTIMEDIA},
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input_schema=UnrealTextToSpeechBlock.Input,
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output_schema=UnrealTextToSpeechBlock.Output,
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test_input={
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251
autogpt_platform/backend/backend/blocks/video.py
Normal file
251
autogpt_platform/backend/backend/blocks/video.py
Normal file
@@ -0,0 +1,251 @@
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import os
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import tempfile
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from typing import Literal, Optional
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from moviepy.audio.io.AudioFileClip import AudioFileClip
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from moviepy.video.fx.Loop import Loop
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from moviepy.video.io.VideoFileClip import VideoFileClip
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from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
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from backend.data.model import SchemaField
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from backend.util.file import get_path, store_temp_file
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class MediaDurationBlock(Block):
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class Input(BlockSchema):
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media_in: str = 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(BlockSchema):
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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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error: str = SchemaField(
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description="Error message if something fails.", default=""
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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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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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**kwargs,
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) -> BlockOutput:
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# 1) Store the input media locally
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local_media_path = store_temp_file(
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exec_id=graph_exec_id,
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file=input_data.media_in,
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return_content=False,
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)
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media_abspath = get_path(graph_exec_id, local_media_path)
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# 2) Load the clip
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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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class LoopVideoBlock(Block):
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"""
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Block for looping (repeating) a video clip until a given duration or number of loops.
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"""
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class Input(BlockSchema):
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video_in: str = SchemaField(
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description="The input video (can be a URL, data URI, or local path)."
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)
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# Provide EITHER a `duration` or `n_loops` or both. We'll demonstrate `duration`.
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duration: Optional[float] = SchemaField(
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description="Target duration (in seconds) to loop the video to. If omitted, defaults to no looping.",
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default=None,
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ge=0.0,
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)
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n_loops: Optional[int] = SchemaField(
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description="Number of times to repeat the video. If omitted, defaults to 1 (no repeat).",
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default=None,
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ge=1,
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)
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output_return_type: Literal["file_path", "data_uri"] = SchemaField(
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description="How to return the output video. Either a relative path or base64 data URI.",
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default="file_path",
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)
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class Output(BlockSchema):
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video_out: str = SchemaField(
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description="Looped video returned either as a relative path or a data URI."
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)
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error: str = SchemaField(
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description="Error message if something fails.", default=""
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)
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def __init__(self):
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super().__init__(
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id="8bf9eef6-5451-4213-b265-25306446e94b",
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description="Block to loop a video to a given duration or number of repeats.",
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categories={BlockCategory.MULTIMEDIA},
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input_schema=LoopVideoBlock.Input,
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output_schema=LoopVideoBlock.Output,
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)
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def run(
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self,
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input_data: Input,
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*,
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node_exec_id: str,
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graph_exec_id: str,
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**kwargs,
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) -> BlockOutput:
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# 1) Store the input video locally
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local_video_path = store_temp_file(
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exec_id=graph_exec_id,
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file=input_data.video_in,
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return_content=False,
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)
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input_abspath = get_path(graph_exec_id, local_video_path)
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# 2) Load the clip
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clip = VideoFileClip(input_abspath)
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# 3) Apply the loop effect
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looped_clip = clip
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if input_data.duration:
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# Loop until we reach the specified duration
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looped_clip = looped_clip.with_effects([Loop(duration=input_data.duration)])
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elif input_data.n_loops:
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looped_clip = looped_clip.with_effects([Loop(n=input_data.n_loops)])
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else:
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raise ValueError("Either 'duration' or 'n_loops' must be provided.")
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assert isinstance(looped_clip, VideoFileClip)
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# 4) Save the looped output
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output_filename = f"{node_exec_id}_looped_{os.path.basename(local_video_path)}"
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output_abspath = get_path(graph_exec_id, output_filename)
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looped_clip = looped_clip.with_audio(clip.audio)
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looped_clip.write_videofile(output_abspath, codec="libx264", audio_codec="aac")
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# Return as data URI
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video_out = store_temp_file(
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exec_id=graph_exec_id,
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file=output_filename,
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return_content=input_data.output_return_type == "data_uri",
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)
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yield "video_out", video_out
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class AddAudioToVideoBlock(Block):
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"""
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Block that adds (attaches) an audio track to an existing video.
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Optionally scale the volume of the new track.
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"""
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class Input(BlockSchema):
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video_in: str = SchemaField(
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description="Video input (URL, data URI, or local path)."
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)
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audio_in: str = SchemaField(
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description="Audio input (URL, data URI, or local path)."
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)
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volume: float = SchemaField(
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description="Volume scale for the newly attached audio track (1.0 = original).",
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default=1.0,
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)
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output_return_type: Literal["file_path", "data_uri"] = SchemaField(
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description="Return the final output as a relative path or base64 data URI.",
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default="file_path",
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)
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class Output(BlockSchema):
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video_out: str = SchemaField(
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description="Final video (with attached audio), as a path or data URI."
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)
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error: str = SchemaField(
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description="Error message if something fails.", default=""
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)
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def __init__(self):
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super().__init__(
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id="3503748d-62b6-4425-91d6-725b064af509",
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description="Block to attach an audio file to a video file using moviepy.",
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categories={BlockCategory.MULTIMEDIA},
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input_schema=AddAudioToVideoBlock.Input,
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output_schema=AddAudioToVideoBlock.Output,
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test_input={
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"exec_id": "test_exec_id",
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"video_in": "https://sample-videos.com/video123/mp4/720/big_buck_bunny_720p_1mb.mp4",
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"audio_in": "https://www2.cs.uic.edu/~i101/SoundFiles/gettysburg10.wav",
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"volume": 0.8,
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"output_return_type": "file_path",
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},
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test_output=[("video_out", "final_video.mp4")],
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)
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def run(
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self,
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input_data: Input,
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*,
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node_exec_id: str,
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graph_exec_id: str,
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**kwargs,
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) -> BlockOutput:
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# 1) Store the inputs locally
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local_video_path = store_temp_file(
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exec_id=graph_exec_id,
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file=input_data.video_in,
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return_content=False,
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)
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local_audio_path = store_temp_file(
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exec_id=graph_exec_id,
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file=input_data.audio_in,
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return_content=False,
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)
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abs_temp_dir = os.path.join(tempfile.gettempdir(), "exec_file", graph_exec_id)
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video_abspath = os.path.join(abs_temp_dir, local_video_path)
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audio_abspath = os.path.join(abs_temp_dir, local_audio_path)
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# 2) Load video + audio with moviepy
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video_clip = VideoFileClip(video_abspath)
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audio_clip = AudioFileClip(audio_abspath)
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# Optionally scale volume
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if input_data.volume != 1.0:
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audio_clip = audio_clip.with_volume_scaled(input_data.volume)
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# 3) Attach the new audio track
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final_clip = video_clip.with_audio(audio_clip)
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# 4) Write to output file
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output_filename = (
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f"{node_exec_id}_audio_attached_{os.path.basename(local_video_path)}"
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)
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output_abspath = os.path.join(abs_temp_dir, output_filename)
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final_clip.write_videofile(output_abspath, codec="libx264", audio_codec="aac")
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# 5) Return either path or data URI
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video_out = store_temp_file(
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exec_id=graph_exec_id,
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file=output_filename,
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return_content=input_data.output_return_type == "data_uri",
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)
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yield "video_out", video_out
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@@ -66,6 +66,7 @@ class BlockCategory(Enum):
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)
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PRODUCTIVITY = "Block that helps with productivity"
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ISSUE_TRACKING = "Block that helps with issue tracking"
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MULTIMEDIA = "Block that interacts with multimedia content"
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def dict(self) -> dict[str, str]:
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return {"category": self.name, "description": self.value}
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@@ -169,7 +169,12 @@ def execute_node(
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log_metadata.info("Executed node with input", input=input_data_str)
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update_execution(ExecutionStatus.RUNNING)
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extra_exec_kwargs = {}
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extra_exec_kwargs: dict = {
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"graph_id": graph_id,
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"node_id": node_id,
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"graph_exec_id": graph_exec_id,
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"node_exec_id": node_exec_id,
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}
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# Last-minute fetch credentials + acquire a system-wide read-write lock to prevent
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# changes during execution. ⚠️ This means a set of credentials can only be used by
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# one (running) block at a time; simultaneous execution of blocks using same
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171
autogpt_platform/backend/backend/util/file.py
Normal file
171
autogpt_platform/backend/backend/util/file.py
Normal file
@@ -0,0 +1,171 @@
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import base64
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import mimetypes
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import os
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import re
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import tempfile
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import uuid
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from urllib.parse import urlparse
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import requests
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TEMP_DIR = tempfile.gettempdir()
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def get_path(exec_id: str, path: str) -> str:
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return os.path.join(TEMP_DIR, "exec_file", exec_id, path)
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def store_temp_file(exec_id: str, file: str, return_content: bool = False) -> str:
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"""
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Safely handle 'file' (a data URI, a URL, or a local path relative to {temp}/exec_file/{exec_id}),
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placing or verifying it under:
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{tempdir}/exec_file/{exec_id}/...
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If 'return_content=True', return a data URI (data:<mime>;base64,<content>).
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Otherwise, return the *relative path* (prefix stripped) inside that folder.
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What happens for each 'file' type:
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- Data URI (starting with "data:"):
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-> decode and store in a new random file in that folder
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- URL (http:// or https://):
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-> download and store in that folder
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- Local path (anything else):
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-> interpret as relative to that folder, verify it is inside & file exists
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(no copying, as it's presumably already there)
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:param exec_id: Unique identifier for the execution context.
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:param file: Data URI, URL, or local (relative) path.
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:param return_content: If True, return a data URI of the file content.
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If False, return the *relative* path inside the exec_id folder.
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:return: The requested result: data URI or relative path.
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"""
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# 1) Build the absolute base path for this exec_id
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temp_base = get_path(exec_id, "")
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os.makedirs(temp_base, exist_ok=True)
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# Helper to guess an extension from MIME
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def _extension_from_mime(mime: str) -> str:
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ext = mimetypes.guess_extension(mime, strict=False)
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return ext if ext else ".bin"
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# Helper to create a data URI from a local file
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def _file_to_data_uri(path: str) -> str:
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mime_type, _ = mimetypes.guess_type(path)
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if not mime_type:
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mime_type = "application/octet-stream"
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with open(path, "rb") as f:
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raw = f.read()
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b64 = base64.b64encode(raw).decode("utf-8")
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return f"data:{mime_type};base64,{b64}"
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# Helper to convert an absolute path (inside temp_base) to a relative path
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def _strip_base_prefix(absolute_path: str) -> str:
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# This will give a relative path from temp_base to absolute_path
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rel = os.path.relpath(absolute_path, start=temp_base)
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return rel
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# 2) Distinguish between data URI, URL, or local path
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if file.startswith("data:"):
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# === Data URI ===
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match = re.match(r"^data:([^;]+);base64,(.*)$", file, re.DOTALL)
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if not match:
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raise ValueError(
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"Invalid data URI format. Expected data:<mime>;base64,<data>"
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)
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mime_type = match.group(1).strip().lower()
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b64_content = match.group(2).strip()
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# Generate random filename with guessed extension
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extension = _extension_from_mime(mime_type)
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local_filename = str(uuid.uuid4()) + extension
|
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absolute_path = os.path.join(temp_base, local_filename)
|
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# Decode and write
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||||
raw_bytes = base64.b64decode(b64_content)
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||||
with open(absolute_path, "wb") as f:
|
||||
f.write(raw_bytes)
|
||||
|
||||
elif file.startswith("http://") or file.startswith("https://"):
|
||||
# === URL ===
|
||||
parsed_url = urlparse(file)
|
||||
basename = os.path.basename(parsed_url.path)
|
||||
if not basename:
|
||||
# If the URL path doesn't provide a usable name, use a UUID
|
||||
basename = str(uuid.uuid4())
|
||||
|
||||
absolute_path = os.path.join(temp_base, basename)
|
||||
|
||||
# Download
|
||||
resp = requests.get(file)
|
||||
resp.raise_for_status()
|
||||
with open(absolute_path, "wb") as f:
|
||||
f.write(resp.content)
|
||||
|
||||
else:
|
||||
# === Local path (relative to temp_base) ===
|
||||
# We do NOT allow absolute external paths. We interpret 'file' as a sub-path of temp_base.
|
||||
# Combine them
|
||||
combined_path = os.path.join(temp_base, file) # might be "subdir/image.png"
|
||||
|
||||
# Normalize to remove ".." or such
|
||||
absolute_path = os.path.normpath(combined_path)
|
||||
base_dir = os.path.normpath(temp_base)
|
||||
|
||||
# Verify it's still inside temp_base
|
||||
if (
|
||||
not absolute_path.startswith(base_dir + os.sep)
|
||||
and absolute_path != base_dir
|
||||
):
|
||||
raise ValueError(
|
||||
"Local file path is outside the temp_base directory. Access denied."
|
||||
)
|
||||
|
||||
# Check the file actually exists
|
||||
if not os.path.isfile(absolute_path):
|
||||
raise ValueError(f"Local file does not exist: {absolute_path}")
|
||||
|
||||
if return_content:
|
||||
return _file_to_data_uri(absolute_path)
|
||||
else:
|
||||
return _strip_base_prefix(absolute_path)
|
||||
|
||||
|
||||
# -------------------
|
||||
# Example usage
|
||||
# -------------------
|
||||
if __name__ == "__main__":
|
||||
exec_id_example = "test"
|
||||
file = "lips_movement.mp4"
|
||||
|
||||
print("File path:", store_temp_file(exec_id_example, file, return_content=False))
|
||||
print("File path:", store_temp_file(exec_id_example, file, return_content=True))
|
||||
|
||||
# # A) Data URI example
|
||||
# data_uri_input = "data:text/plain;base64," + base64.b64encode(
|
||||
# b"Hello from data URI!"
|
||||
# ).decode("utf-8")
|
||||
# result_data_uri = store_temp_file(
|
||||
# exec_id_example, data_uri_input, return_content=False
|
||||
# )
|
||||
# print("[Data URI] => Relative path:", result_data_uri)
|
||||
#
|
||||
# # B) URL example
|
||||
# url_input = "https://example.com/index.html"
|
||||
# result_url = store_temp_file(exec_id_example, url_input, return_content=True)
|
||||
# print("[URL] => Data URI (truncated):", result_url[:100], "...")
|
||||
#
|
||||
# # C) Local path example
|
||||
# # Suppose we previously stored a file named "somefile.txt" in that folder.
|
||||
# # Let's simulate that by making a file ourselves:
|
||||
# temp_base_for_exec = os.path.join(
|
||||
# tempfile.gettempdir(), "exec_file", exec_id_example
|
||||
# )
|
||||
# test_local_file = os.path.join(temp_base_for_exec, "somefile.txt")
|
||||
# with open(test_local_file, "w") as f:
|
||||
# f.write("Hello from a local file!\n")
|
||||
#
|
||||
# # Now refer to it by relative path:
|
||||
# result_local = store_temp_file(exec_id_example, "somefile.txt", return_content=True)
|
||||
# print("[Local path] => Data URI:", result_local)
|
||||
270
autogpt_platform/backend/poetry.lock
generated
270
autogpt_platform/backend/poetry.lock
generated
@@ -636,6 +636,18 @@ ssh = ["bcrypt (>=3.1.5)"]
|
||||
test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
|
||||
test-randomorder = ["pytest-randomly"]
|
||||
|
||||
[[package]]
|
||||
name = "decorator"
|
||||
version = "5.1.1"
|
||||
description = "Decorators for Humans"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
|
||||
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "defusedxml"
|
||||
version = "0.7.1"
|
||||
@@ -1659,6 +1671,57 @@ files = [
|
||||
[package.extras]
|
||||
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "imageio"
|
||||
version = "2.37.0"
|
||||
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "imageio-2.37.0-py3-none-any.whl", hash = "sha256:11efa15b87bc7871b61590326b2d635439acc321cf7f8ce996f812543ce10eed"},
|
||||
{file = "imageio-2.37.0.tar.gz", hash = "sha256:71b57b3669666272c818497aebba2b4c5f20d5b37c81720e5e1a56d59c492996"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
pillow = ">=8.3.2"
|
||||
|
||||
[package.extras]
|
||||
all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
|
||||
all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
|
||||
build = ["wheel"]
|
||||
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
|
||||
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
|
||||
ffmpeg = ["imageio-ffmpeg", "psutil"]
|
||||
fits = ["astropy"]
|
||||
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
|
||||
gdal = ["gdal"]
|
||||
itk = ["itk"]
|
||||
linting = ["black", "flake8"]
|
||||
pillow-heif = ["pillow-heif"]
|
||||
pyav = ["av"]
|
||||
rawpy = ["numpy (>2)", "rawpy"]
|
||||
test = ["fsspec[github]", "pytest", "pytest-cov"]
|
||||
tifffile = ["tifffile"]
|
||||
|
||||
[[package]]
|
||||
name = "imageio-ffmpeg"
|
||||
version = "0.6.0"
|
||||
description = "FFMPEG wrapper for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "imageio_ffmpeg-0.6.0-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.whl", hash = "sha256:9d2baaf867088508d4a3458e61eeb30e945c4ad8016025545f66c4b5aaef0a61"},
|
||||
{file = "imageio_ffmpeg-0.6.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b1ae3173414b5fc5f538a726c4e48ea97edc0d2cdc11f103afee655c463fa742"},
|
||||
{file = "imageio_ffmpeg-0.6.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1d47bebd83d2c5fc770720d211855f208af8a596c82d17730aa51e815cdee6dc"},
|
||||
{file = "imageio_ffmpeg-0.6.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c7e46fcec401dd990405049d2e2f475e2b397779df2519b544b8aab515195282"},
|
||||
{file = "imageio_ffmpeg-0.6.0-py3-none-win32.whl", hash = "sha256:196faa79366b4a82f95c0f4053191d2013f4714a715780f0ad2a68ff37483cc2"},
|
||||
{file = "imageio_ffmpeg-0.6.0-py3-none-win_amd64.whl", hash = "sha256:02fa47c83703c37df6bfe4896aab339013f62bf02c5ebf2dce6da56af04ffc0a"},
|
||||
{file = "imageio_ffmpeg-0.6.0.tar.gz", hash = "sha256:e2556bed8e005564a9f925bb7afa4002d82770d6b08825078b7697ab88ba1755"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "importlib-metadata"
|
||||
version = "8.5.0"
|
||||
@@ -1986,6 +2049,32 @@ files = [
|
||||
{file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "moviepy"
|
||||
version = "2.1.2"
|
||||
description = "Video editing with Python"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "moviepy-2.1.2-py3-none-any.whl", hash = "sha256:6cdc0d739110c8f347a224d72bd59eebaec010720d01eff290d37111bf545a73"},
|
||||
{file = "moviepy-2.1.2.tar.gz", hash = "sha256:22c57a7472f607eaad9fe80791df67c05082e1060fb74817c4eaac68e138ee77"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
decorator = ">=4.0.2,<6.0"
|
||||
imageio = ">=2.5,<3.0"
|
||||
imageio_ffmpeg = ">=0.2.0"
|
||||
numpy = ">=1.25.0"
|
||||
pillow = ">=9.2.0,<11.0"
|
||||
proglog = "<=1.0.0"
|
||||
python-dotenv = ">=0.10"
|
||||
|
||||
[package.extras]
|
||||
doc = ["Sphinx (==6.*)", "numpydoc (<2.0)", "pydata-sphinx-theme (==0.13)", "sphinx_design"]
|
||||
lint = ["black (>=23.7.0)", "flake8 (>=6.0.0)", "flake8-absolute-import (>=1.0)", "flake8-docstrings (>=1.7.0)", "flake8-implicit-str-concat (==0.4.0)", "flake8-rst-docstrings (>=0.3)", "isort (>=5.12)", "pre-commit (>=3.3)"]
|
||||
test = ["coveralls (>=3.0,<4.0)", "pytest (>=3.0.0,<7.0.0)", "pytest-cov (>=2.5.1,<3.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "multidict"
|
||||
version = "6.1.0"
|
||||
@@ -2115,6 +2204,71 @@ files = [
|
||||
{file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.2.2"
|
||||
description = "Fundamental package for array computing in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7079129b64cb78bdc8d611d1fd7e8002c0a2565da6a47c4df8062349fee90e3e"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ec6c689c61df613b783aeb21f945c4cbe6c51c28cb70aae8430577ab39f163e"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:40c7ff5da22cd391944a28c6a9c638a5eef77fcf71d6e3a79e1d9d9e82752715"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:995f9e8181723852ca458e22de5d9b7d3ba4da3f11cc1cb113f093b271d7965a"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b78ea78450fd96a498f50ee096f69c75379af5138f7881a51355ab0e11286c97"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3fbe72d347fbc59f94124125e73fc4976a06927ebc503ec5afbfb35f193cd957"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8e6da5cffbbe571f93588f562ed130ea63ee206d12851b60819512dd3e1ba50d"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:09d6a2032faf25e8d0cadde7fd6145118ac55d2740132c1d845f98721b5ebcfd"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-win32.whl", hash = "sha256:159ff6ee4c4a36a23fe01b7c3d07bd8c14cc433d9720f977fcd52c13c0098160"},
|
||||
{file = "numpy-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:64bd6e1762cd7f0986a740fee4dff927b9ec2c5e4d9a28d056eb17d332158014"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:642199e98af1bd2b6aeb8ecf726972d238c9877b0f6e8221ee5ab945ec8a2189"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6d9fc9d812c81e6168b6d405bf00b8d6739a7f72ef22a9214c4241e0dc70b323"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:c7d1fd447e33ee20c1f33f2c8e6634211124a9aabde3c617687d8b739aa69eac"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:451e854cfae0febe723077bd0cf0a4302a5d84ff25f0bfece8f29206c7bed02e"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd249bc894af67cbd8bad2c22e7cbcd46cf87ddfca1f1289d1e7e54868cc785c"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02935e2c3c0c6cbe9c7955a8efa8908dd4221d7755644c59d1bba28b94fd334f"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a972cec723e0563aa0823ee2ab1df0cb196ed0778f173b381c871a03719d4826"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d6d6a0910c3b4368d89dde073e630882cdb266755565155bc33520283b2d9df8"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-win32.whl", hash = "sha256:860fd59990c37c3ef913c3ae390b3929d005243acca1a86facb0773e2d8d9e50"},
|
||||
{file = "numpy-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:da1eeb460ecce8d5b8608826595c777728cdf28ce7b5a5a8c8ac8d949beadcf2"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ac9bea18d6d58a995fac1b2cb4488e17eceeac413af014b1dd26170b766d8467"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:23ae9f0c2d889b7b2d88a3791f6c09e2ef827c2446f1c4a3e3e76328ee4afd9a"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3074634ea4d6df66be04f6728ee1d173cfded75d002c75fac79503a880bf3825"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:8ec0636d3f7d68520afc6ac2dc4b8341ddb725039de042faf0e311599f54eb37"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ffbb1acd69fdf8e89dd60ef6182ca90a743620957afb7066385a7bbe88dc748"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0349b025e15ea9d05c3d63f9657707a4e1d471128a3b1d876c095f328f8ff7f0"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:463247edcee4a5537841d5350bc87fe8e92d7dd0e8c71c995d2c6eecb8208278"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9dd47ff0cb2a656ad69c38da850df3454da88ee9a6fde0ba79acceee0e79daba"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-win32.whl", hash = "sha256:4525b88c11906d5ab1b0ec1f290996c0020dd318af8b49acaa46f198b1ffc283"},
|
||||
{file = "numpy-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:5acea83b801e98541619af398cc0109ff48016955cc0818f478ee9ef1c5c3dcb"},
|
||||
{file = "numpy-2.2.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b208cfd4f5fe34e1535c08983a1a6803fdbc7a1e86cf13dd0c61de0b51a0aadc"},
|
||||
{file = "numpy-2.2.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d0bbe7dd86dca64854f4b6ce2ea5c60b51e36dfd597300057cf473d3615f2369"},
|
||||
{file = "numpy-2.2.2-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:22ea3bb552ade325530e72a0c557cdf2dea8914d3a5e1fecf58fa5dbcc6f43cd"},
|
||||
{file = "numpy-2.2.2-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:128c41c085cab8a85dc29e66ed88c05613dccf6bc28b3866cd16050a2f5448be"},
|
||||
{file = "numpy-2.2.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:250c16b277e3b809ac20d1f590716597481061b514223c7badb7a0f9993c7f84"},
|
||||
{file = "numpy-2.2.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0c8854b09bc4de7b041148d8550d3bd712b5c21ff6a8ed308085f190235d7ff"},
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{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"},
|
||||
{file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
|
||||
{file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
|
||||
fpx = ["olefile"]
|
||||
mic = ["olefile"]
|
||||
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
|
||||
typing = ["typing-extensions"]
|
||||
xmp = ["defusedxml"]
|
||||
|
||||
[[package]]
|
||||
name = "pinecone"
|
||||
version = "5.4.2"
|
||||
@@ -2438,6 +2690,21 @@ typing-extensions = ">=4.5.0"
|
||||
all = ["nodejs-bin"]
|
||||
node = ["nodejs-bin"]
|
||||
|
||||
[[package]]
|
||||
name = "proglog"
|
||||
version = "0.1.10"
|
||||
description = "Log and progress bar manager for console, notebooks, web..."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "proglog-0.1.10-py3-none-any.whl", hash = "sha256:19d5da037e8c813da480b741e3fa71fb1ac0a5b02bf21c41577c7f327485ec50"},
|
||||
{file = "proglog-0.1.10.tar.gz", hash = "sha256:658c28c9c82e4caeb2f25f488fff9ceace22f8d69b15d0c1c86d64275e4ddab4"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
tqdm = "*"
|
||||
|
||||
[[package]]
|
||||
name = "propcache"
|
||||
version = "0.2.1"
|
||||
@@ -2655,7 +2922,6 @@ files = [
|
||||
{file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bb89f0a835bcfc1d42ccd5f41f04870c1b936d8507c6df12b7737febc40f0909"},
|
||||
{file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f0c2d907a1e102526dd2986df638343388b94c33860ff3bbe1384130828714b1"},
|
||||
{file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f8157bed2f51db683f31306aa497311b560f2265998122abe1dce6428bd86567"},
|
||||
{file = "psycopg2_binary-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:27422aa5f11fbcd9b18da48373eb67081243662f9b46e6fd07c3eb46e4535142"},
|
||||
{file = "psycopg2_binary-2.9.10-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:eb09aa7f9cecb45027683bb55aebaaf45a0df8bf6de68801a6afdc7947bb09d4"},
|
||||
{file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b73d6d7f0ccdad7bc43e6d34273f70d587ef62f824d7261c4ae9b8b1b6af90e8"},
|
||||
{file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce5ab4bf46a211a8e924d307c1b1fcda82368586a19d0a24f8ae166f5c784864"},
|
||||
@@ -4448,4 +4714,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "341712d286b6a6fae89055bd21a55d8fa918973e446f6c0f0329a8493022cbae"
|
||||
content-hash = "6830ba6230336d92ab81081a22f19045d4885d8b4a00b5c0ec4f12c15af8bd18"
|
||||
|
||||
@@ -55,6 +55,7 @@ sqlalchemy = "^2.0.36"
|
||||
psycopg2-binary = "^2.9.10"
|
||||
google-cloud-storage = "^2.18.2"
|
||||
launchdarkly-server-sdk = "^9.8.0"
|
||||
moviepy = "^2.1.2"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
poethepoet = "^0.31.0"
|
||||
|
||||
@@ -11,9 +11,10 @@ const getYouTubeVideoId = (url: string) => {
|
||||
};
|
||||
|
||||
const isValidVideoUrl = (url: string): boolean => {
|
||||
const validUrl = /^(https?:\/\/)(www\.)?/i;
|
||||
const videoExtensions = /\.(mp4|webm|ogg)$/i;
|
||||
const youtubeRegex = /^(https?:\/\/)?(www\.)?(youtube\.com|youtu\.?be)\/.+$/;
|
||||
return videoExtensions.test(url) || youtubeRegex.test(url);
|
||||
return url.startsWith("data:video") || validUrl.test(url) && videoExtensions.test(url) || youtubeRegex.test(url);
|
||||
};
|
||||
|
||||
const isValidImageUrl = (url: string): boolean => {
|
||||
|
||||
Reference in New Issue
Block a user