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40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
"""Resolved runtime configuration for video-generation providers.
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Unlike image generation, text-to-video has no synchronous OpenAI standard: the
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common shape is an async task (submit → poll → download). This dataclass carries
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the generation knobs plus the polling budget used by the async-task adapter.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from deeptutor.services.generation_http import AUTH_BEARER
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@dataclass(slots=True)
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class VideogenConfig:
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"""Resolved text-to-video configuration for one generation call."""
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model: str
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provider_name: str = "volcengine"
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adapter: str = "async_task"
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auth_style: str = AUTH_BEARER
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api_key: str = ""
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base_url: str = ""
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api_version: str | None = None
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extra_headers: dict[str, str] = field(default_factory=dict)
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# Provider/model-specific generation knobs. Empty → omit.
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aspect_ratio: str = "" # e.g. "16:9"
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duration: str = "" # seconds, free-form (e.g. "5")
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resolution: str = "" # e.g. "720p" | "1080p"
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# Polling budget. ``request_timeout`` bounds each submit/poll HTTP call;
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# ``poll_timeout`` bounds the whole render; ``poll_interval`` is the gap
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# between status checks.
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request_timeout: int = 60
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poll_interval: float = 5.0
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poll_timeout: int = 600
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__all__ = ["VideogenConfig"]
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