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https://github.com/dograh-hq/dograh.git
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494c60d774
* feat: add recording feature in agents * chore: pin pipecat version * feat: show usage in UI * chore: update pipecat
73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
"""Pydantic schemas for workflow recording operations."""
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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from pydantic import BaseModel, Field
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class RecordingUploadRequestSchema(BaseModel):
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"""Request schema for getting a presigned upload URL."""
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workflow_id: int = Field(..., description="Workflow ID this recording belongs to")
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filename: str = Field(..., description="Original filename of the audio file")
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mime_type: str = Field(
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default="audio/wav", description="MIME type of the audio file"
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)
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file_size: int = Field(
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...,
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gt=0,
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le=5_242_880,
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description="File size in bytes (max 5MB)",
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)
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class RecordingUploadResponseSchema(BaseModel):
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"""Response schema with presigned upload URL."""
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upload_url: str = Field(..., description="Presigned URL for uploading the audio")
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recording_id: str = Field(..., description="Short unique recording ID")
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storage_key: str = Field(..., description="Storage key where file will be uploaded")
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class RecordingCreateRequestSchema(BaseModel):
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"""Request schema for creating a recording record after upload."""
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recording_id: str = Field(..., description="Short recording ID from upload step")
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workflow_id: int = Field(..., description="Workflow ID")
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tts_provider: str = Field(..., description="TTS provider (e.g. elevenlabs)")
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tts_model: str = Field(..., description="TTS model name")
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tts_voice_id: str = Field(..., description="TTS voice identifier")
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transcript: str = Field(
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..., description="User-provided transcript of the recording"
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)
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storage_key: str = Field(..., description="Storage key from upload step")
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metadata: Optional[Dict[str, Any]] = Field(
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default=None, description="Optional metadata (file_size, duration, etc.)"
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)
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class RecordingResponseSchema(BaseModel):
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"""Response schema for a single recording."""
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id: int
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recording_id: str
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workflow_id: int
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organization_id: int
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tts_provider: str
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tts_model: str
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tts_voice_id: str
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transcript: str
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storage_key: str
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storage_backend: str
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metadata: Dict[str, Any]
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created_by: int
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created_at: datetime
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is_active: bool
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class RecordingListResponseSchema(BaseModel):
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"""Response schema for list of recordings."""
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recordings: List[RecordingResponseSchema]
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total: int
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