7e0b777923
- Expanded package inclusion in `pyproject.toml` to support new modules. - Introduced new `adapters` and `protocol` packages for better organization. - Added backend adapter implementations for control plane integration. - Updated main application imports to reflect new package structure. - Removed deprecated core components and adjusted documentation accordingly. - Enhanced architecture documentation to clarify the new runtime and integration layers.
113 lines
4.3 KiB
Python
113 lines
4.3 KiB
Python
"""Default runtime service factory implementing core extension ports."""
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from __future__ import annotations
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from typing import Any
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from loguru import logger
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from runtime.ports import (
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ASRPort,
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ASRServiceSpec,
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LLMPort,
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LLMServiceSpec,
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RealtimeServiceFactory,
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TTSPort,
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TTSServiceSpec,
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)
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from providers.asr.buffered import BufferedASRService
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from providers.tts.dashscope import DashScopeTTSService
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from providers.llm.openai import MockLLMService, OpenAILLMService
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from providers.asr.openai_compatible import OpenAICompatibleASRService
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from providers.tts.openai_compatible import OpenAICompatibleTTSService
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from providers.tts.mock import MockTTSService
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_OPENAI_COMPATIBLE_PROVIDERS = {"openai_compatible", "openai-compatible", "siliconflow"}
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_SUPPORTED_LLM_PROVIDERS = {"openai", *_OPENAI_COMPATIBLE_PROVIDERS}
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class DefaultRealtimeServiceFactory(RealtimeServiceFactory):
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"""Build concrete runtime services from normalized specs."""
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_DEFAULT_DASHSCOPE_TTS_REALTIME_URL = "wss://dashscope.aliyuncs.com/api-ws/v1/realtime"
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_DEFAULT_DASHSCOPE_TTS_MODEL = "qwen3-tts-flash-realtime"
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_DEFAULT_OPENAI_COMPATIBLE_TTS_MODEL = "FunAudioLLM/CosyVoice2-0.5B"
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_DEFAULT_OPENAI_COMPATIBLE_ASR_MODEL = "FunAudioLLM/SenseVoiceSmall"
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@staticmethod
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def _normalize_provider(provider: Any) -> str:
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return str(provider or "").strip().lower()
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@staticmethod
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def _resolve_dashscope_mode(raw_mode: Any) -> str:
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mode = str(raw_mode or "commit").strip().lower()
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if mode in {"commit", "server_commit"}:
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return mode
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return "commit"
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def create_llm_service(self, spec: LLMServiceSpec) -> LLMPort:
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provider = self._normalize_provider(spec.provider)
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if provider in _SUPPORTED_LLM_PROVIDERS and spec.api_key:
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return OpenAILLMService(
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api_key=spec.api_key,
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base_url=spec.base_url,
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model=spec.model,
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system_prompt=spec.system_prompt,
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knowledge_config=spec.knowledge_config,
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knowledge_searcher=spec.knowledge_searcher,
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)
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logger.warning(
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"LLM provider unsupported or API key missing (provider={}); using mock LLM",
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provider or "-",
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)
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return MockLLMService()
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def create_tts_service(self, spec: TTSServiceSpec) -> TTSPort:
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provider = self._normalize_provider(spec.provider)
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if provider == "dashscope" and spec.api_key:
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return DashScopeTTSService(
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api_key=spec.api_key,
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api_url=spec.api_url or self._DEFAULT_DASHSCOPE_TTS_REALTIME_URL,
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voice=spec.voice,
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model=spec.model or self._DEFAULT_DASHSCOPE_TTS_MODEL,
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mode=self._resolve_dashscope_mode(spec.mode),
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sample_rate=spec.sample_rate,
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speed=spec.speed,
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)
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if provider in _OPENAI_COMPATIBLE_PROVIDERS and spec.api_key:
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return OpenAICompatibleTTSService(
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api_key=spec.api_key,
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api_url=spec.api_url,
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voice=spec.voice,
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model=spec.model or self._DEFAULT_OPENAI_COMPATIBLE_TTS_MODEL,
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sample_rate=spec.sample_rate,
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speed=spec.speed,
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)
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logger.warning(
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"TTS provider unsupported or API key missing (provider={}); using mock TTS",
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provider or "-",
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)
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return MockTTSService(sample_rate=spec.sample_rate)
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def create_asr_service(self, spec: ASRServiceSpec) -> ASRPort:
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provider = self._normalize_provider(spec.provider)
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if provider in _OPENAI_COMPATIBLE_PROVIDERS and spec.api_key:
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return OpenAICompatibleASRService(
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api_key=spec.api_key,
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api_url=spec.api_url,
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model=spec.model or self._DEFAULT_OPENAI_COMPATIBLE_ASR_MODEL,
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sample_rate=spec.sample_rate,
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language=spec.language,
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interim_interval_ms=spec.interim_interval_ms,
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min_audio_for_interim_ms=spec.min_audio_for_interim_ms,
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on_transcript=spec.on_transcript,
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)
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logger.info("Using buffered ASR service (provider={})", provider or "-")
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return BufferedASRService(sample_rate=spec.sample_rate, language=spec.language)
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