4eeddc4b1f
Modular async pipeline: FrameSource->Vision->context and STT/text->Brain->TTS. All stages are Protocols; mock backends run end-to-end with no deps/keys. Real backends included: mss screen capture, Claude vision+brain (guarded imports).
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
"""Configuration. Each field names a backend; the factory maps names -> classes.
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Defaults are all "mock" so the skeleton runs out of the box. Flip individual
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fields (via env or code) as real backends land.
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Env overrides (optional):
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WSAI_SOURCE, WSAI_VISION, WSAI_STT, WSAI_TTS, WSAI_BRAIN, WSAI_TEXT
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WSAI_CAPTURE_INTERVAL
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"""
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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@dataclass
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class Settings:
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source: str = "mock" # mock | mss
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vision: str = "mock" # mock | claude
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stt: str | None = "mock" # mock | (whisper) | None
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tts: str | None = "mock" # mock | (melo) | None
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brain: str = "mock" # mock | claude
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text: str | None = None # None | (discord)
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capture_interval: float = 1.5
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anthropic_model: str = "claude-sonnet-4-5"
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@classmethod
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def from_env(cls) -> "Settings":
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def opt(name: str, default):
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v = os.environ.get(name)
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return default if v is None else (None if v.lower() == "none" else v)
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return cls(
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source=opt("WSAI_SOURCE", "mock"),
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vision=opt("WSAI_VISION", "mock"),
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stt=opt("WSAI_STT", "mock"),
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tts=opt("WSAI_TTS", "mock"),
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brain=opt("WSAI_BRAIN", "mock"),
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text=opt("WSAI_TEXT", None),
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capture_interval=float(os.environ.get("WSAI_CAPTURE_INTERVAL", "1.5")),
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)
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@classmethod
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def mock(cls) -> "Settings":
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return cls()
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@classmethod
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def live(cls) -> "Settings":
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"""A realistic local config: capture this screen, Claude eyes+brain,
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mock voice (until STT/TTS backends are wired)."""
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return cls(source="mss", vision="claude", brain="claude", stt="mock", tts="mock")
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