fa42757916
* add staging ios app build script * feat(api): add OpenTelemetry LGTM stack for local observability Wire OTel traces, metrics, and logs through a collector to Tempo, Prometheus, and Loki, with custom LLM instrumentation, dev compose overlay, Grafana provisioning, env templates, and development.sh auto-start. Co-authored-by: Cursor <cursoragent@cursor.com> * feat: expand observability, harden dev tooling, and fix expo staging UX Add business and LLM Prometheus metrics with Grafana dashboards, alerting, and a metrics verification script. Wire telemetry through adapters and core LLM paths, and document the local LGTM workflow. Fix development.sh for macOS bash 3.2, open Grafana and eval-web in Chrome, and repair eval-web auto-open (unbound EVAL_WEB_BROWSER_SCHEDULED). Merge internal-eval into the main dev script with improved compose handling. Require EXPO_PUBLIC_* at build time, improve iOS HTTP ATS for staging IPs, show memoir empty state instead of load errors when no chapters exist, and add jest env setup plus chapter list response normalization. Co-authored-by: Cursor <cursoragent@cursor.com> * chore: enable Grafana Assistant Cursor plugin Co-authored-by: Cursor <cursoragent@cursor.com> * fix: memoir empty state and repair withdrawn 0020_chapters_book_id stamp Show empty memoir UI when the chapter list succeeds with no items; treat auth/404 as non-fatal. Extend alembic revision repair so local dev DBs stamped with the removed 0020_chapters_book_id migration can roll back and upgrade to 0019. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Kevin <kevin@brighteng.org> Co-authored-by: Cursor <cursoragent@cursor.com>
84 lines
3.3 KiB
Python
84 lines
3.3 KiB
Python
"""Tencent Cloud ASR adapter — implements ASRProvider port."""
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import asyncio
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import base64
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from app.core.business_telemetry import business_span
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from app.core.logging import get_logger
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from app.ports.asr import ASRTranscriptionError
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logger = get_logger(__name__)
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class TencentASRProvider:
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def __init__(self, secret_id: str, secret_key: str):
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self._secret_id = secret_id
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self._secret_key = secret_key
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self._client = None
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def _get_client(self):
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if self._client is not None:
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return self._client
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try:
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from tencentcloud.asr.v20190614 import asr_client
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from tencentcloud.common import credential
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from tencentcloud.common.profile.client_profile import ClientProfile
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from tencentcloud.common.profile.http_profile import HttpProfile
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cred = credential.Credential(self._secret_id, self._secret_key)
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http_profile = HttpProfile()
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http_profile.endpoint = "asr.tencentcloudapi.com"
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client_profile = ClientProfile()
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client_profile.httpProfile = http_profile
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self._client = asr_client.AsrClient(cred, "", client_profile)
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return self._client
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except Exception as e:
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logger.error("Tencent ASR client init failed: {}", e)
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return None
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def ensure_ready(self) -> bool:
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return bool(self._secret_id and self._secret_key and self._get_client())
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async def transcribe(self, audio: bytes, format: str = "m4a") -> str:
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with business_span("asr.transcribe", provider="tencent"):
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return await self._transcribe_inner(audio, format)
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async def _transcribe_inner(self, audio: bytes, format: str) -> str:
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client = self._get_client()
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if not client:
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raise ASRTranscriptionError(
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"Tencent ASR client not initialized (check credentials)"
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)
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try:
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from tencentcloud.asr.v20190614 import models
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audio_base64 = base64.b64encode(audio).decode("utf-8")
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req = models.SentenceRecognitionRequest()
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req.EngSerViceType = "16k_zh"
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req.SourceType = 1
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# 小写；与文档一致。iOS 常见为 m4a(AAC) 容器，与 16k 引擎匹配
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req.VoiceFormat = (format or "m4a").lower()
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req.Data = audio_base64
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req.DataLen = len(audio)
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# 腾讯 SDK 为同步阻塞调用；放到线程池里避免卡住事件循环。
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resp = await asyncio.to_thread(client.SentenceRecognition, req)
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text = (resp.Result or "").strip()
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if text:
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return text
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err = getattr(resp, "Error", None) or getattr(resp, "Message", None)
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logger.warning(
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"Tencent ASR empty Result, audio_len={} format={} err={}",
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len(audio),
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req.VoiceFormat,
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err,
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)
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raise ASRTranscriptionError(
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"Tencent ASR empty Result (check sample rate / format / audio)"
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)
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except ASRTranscriptionError:
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raise
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except Exception as e:
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logger.error("Tencent ASR transcribe failed: {}", e, exc_info=True)
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raise ASRTranscriptionError(f"Tencent ASR transcribe failed: {e!s}") from e
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