* 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 * fix: memoir empty state and repair withdrawn 0020_chapters_book_id stamp Show empty memoir UI when the chapter list succeeds with no items; treat auth/404 as non-fatal.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>
147 lines
5.0 KiB
Python
147 lines
5.0 KiB
Python
"""
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OpenTelemetry 初始化:traces / metrics / logs 导出至 OTLP Collector。
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在 ``setup_logging()`` 之后、FastAPI / Celery 应用创建前调用 ``setup_telemetry(service_name=...)``。
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``OTEL_ENABLED=false`` 时无操作,便于测试与无 Collector 环境。
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"""
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from __future__ import annotations
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import logging
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from typing import TYPE_CHECKING
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from opentelemetry import metrics, trace
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from opentelemetry._logs import set_logger_provider
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from opentelemetry.exporter.otlp.proto.grpc._log_exporter import OTLPLogExporter
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from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter
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from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
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from opentelemetry.instrumentation.celery import CeleryInstrumentor
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from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
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from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor
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from opentelemetry.instrumentation.logging import LoggingInstrumentor
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from opentelemetry.instrumentation.redis import RedisInstrumentor
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from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor
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from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
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from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
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from opentelemetry.sdk.metrics import MeterProvider
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from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
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from opentelemetry.sdk.resources import Resource
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import BatchSpanProcessor
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from opentelemetry.sdk.trace.sampling import ParentBasedTraceIdRatio
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from app.core.config import settings
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if TYPE_CHECKING:
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from fastapi import FastAPI
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_initialized = False
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_otel_logging_handler: LoggingHandler | None = None
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def _build_resource(service_name: str) -> Resource:
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return Resource.create(
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{
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"service.name": service_name,
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"deployment.environment": settings.app_environment,
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"service.version": "0.2.0",
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}
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)
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def _build_sampler():
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from opentelemetry.sdk.trace.sampling import (
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ALWAYS_OFF,
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ALWAYS_ON,
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TraceIdRatioBased,
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)
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name = (settings.otel_traces_sampler or "always_on").strip().lower()
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arg = settings.otel_traces_sampler_arg
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if name in ("always_on", "alwayson"):
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return ALWAYS_ON
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if name in ("always_off", "alwaysoff"):
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return ALWAYS_OFF
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ratio = 0.1 if arg is None else arg
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if name == "traceidratio":
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return TraceIdRatioBased(ratio)
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return ParentBasedTraceIdRatio(ratio)
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def setup_telemetry(*, service_name: str) -> None:
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"""配置 OTLP exporter 与自动 instrumentation(幂等)。"""
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global _initialized, _otel_logging_handler
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if _initialized or not settings.otel_enabled:
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return
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endpoint = settings.otel_exporter_otlp_endpoint.rstrip("/")
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insecure = settings.otel_exporter_otlp_insecure
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resource = _build_resource(service_name)
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span_exporter = OTLPSpanExporter(endpoint=endpoint, insecure=insecure)
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tracer_provider = TracerProvider(resource=resource, sampler=_build_sampler())
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tracer_provider.add_span_processor(BatchSpanProcessor(span_exporter))
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trace.set_tracer_provider(tracer_provider)
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metric_exporter = OTLPMetricExporter(endpoint=endpoint, insecure=insecure)
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metric_reader = PeriodicExportingMetricReader(
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metric_exporter,
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export_interval_millis=settings.otel_metric_export_interval_ms,
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)
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meter_provider = MeterProvider(resource=resource, metric_readers=[metric_reader])
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metrics.set_meter_provider(meter_provider)
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log_exporter = OTLPLogExporter(endpoint=endpoint, insecure=insecure)
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log_provider = LoggerProvider(resource=resource)
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log_provider.add_log_record_processor(BatchLogRecordProcessor(log_exporter))
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set_logger_provider(log_provider)
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LoggingInstrumentor().instrument(set_logging_format=True)
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_otel_logging_handler = LoggingHandler(
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level=logging.NOTSET,
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logger_provider=log_provider,
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)
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logging.getLogger().addHandler(_otel_logging_handler)
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HTTPXClientInstrumentor().instrument()
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RedisInstrumentor().instrument()
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SQLAlchemyInstrumentor().instrument()
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_initialized = True
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def instrument_fastapi_app(app: FastAPI) -> None:
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if not settings.otel_enabled:
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return
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FastAPIInstrumentor.instrument_app(
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app,
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excluded_urls="/health",
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)
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def instrument_celery() -> None:
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if not settings.otel_enabled:
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return
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CeleryInstrumentor().instrument()
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def get_tracer(name: str):
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return trace.get_tracer(name)
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def get_meter(name: str):
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return metrics.get_meter(name)
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def current_trace_context() -> dict[str, str]:
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"""返回当前 span 的 trace_id / span_id(十六进制),无活跃 span 时为空 dict。"""
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span = trace.get_current_span()
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ctx = span.get_span_context()
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if not ctx.is_valid:
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return {}
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return {
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"trace_id": format(ctx.trace_id, "032x"),
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"span_id": format(ctx.span_id, "016x"),
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}
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