Files
qihuaiflow/backend/python/app/core/otel.py
T
QihuAI Design e8a1791c9f chore(align): sync Git with running container as authoritative source
Standards alignment (STANDARDS_AUDIT_2026-07-24): Phase 1 标准化核心 +
Phase 2 质量层 landed in the running container and captured in Git so the
three sources (container := image := Git) agree.

Backend (Phase 1 标准化核心):
- mcp_client.py: replaced hand-rolled JSON-RPC with official `mcp` SDK
  (ClientSession, streamable_http/sse transports, protocol auto-negotiation)
- core/otel.py + core/observability.py: standard OpenTelemetry SDK bridge
  (OTLP gRPC), wired to Grafana Alloy (qihu-aiflow-alloy:4317) which forwards
  metrics to Prometheus; emits aiflow_span_duration_ms / aiflow_span_count
- deployments: Grafana Alloy container + Prometheus remote-write receiver

Backend (Phase 2 质量层):
- core/rag_pipeline.py: standardized RAG (recursive overlap chunking +
  rerank hook) reusing pgvector_search
- core/llm_client.py: SDK-ified LLM + embeddings (aembed/embed) collapsing
  hand-rolled httpx calls; trust_env=False to bypass container proxy

Migrations:
- 018_normalize_marketapp_scene.sql: fixed capability allowlist
  (prevents capability wipe on restart)

Alignment performed 2026-07-24 12:18:51. No deletions; secrets/venv/node_modules/
caches were not touched (tracked-source-only copy).
2026-07-24 12:18:52 +08:00

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"""
OpenTelemetry 桥接 (Phase 1.I 标准化)
=====================================
设计基准(标准对照表见 STANDARDS_AUDIT_2026-07-24.md §I):
- 标准:OpenTelemetry SDK + OTLP gRPC exporter —— 云原生可观测事实标准。
- traces:span 经 observability.span() 嵌套导出(见 observability.py)。
- metrics:MeterProvider 经 OTLP 导出 span 耗时直方图 + 调用计数,供 Grafana 出图。
- 失败安全(生产红线):若 OTLP 端点不可达 / 初始化异常,自动降级为 no-op,
绝不阻断业务请求、不产生未捕获异常。
- 门控:OTEL_ENABLED=1 默认开启;置 0 则零开销、不走 OTel。
- 发射目标:OTEL_EXPORTER_OTLP_ENDPOINT,默认 http://qihu-aiflow-alloy:4317
(经 Grafana Alloy 桥接 OTLP→Prometheus,再由 Prometheus 喂给 Grafana 出图)。
对外 API:
init_otel() 首次调用时构建 TracerProvider + MeterProvider(幂等)
get_tracer() 返回 tracer(未启用/失败则 None)
get_meter() 返回 meter(未启用/失败则 None)
current_span_cm(name) 返回一个 OTel span 的上下文管理器(供 observability 嵌套)
record_span_metrics(name, elapsed_ms, status) 记录 span 指标(耗时直方图 + 计数)
"""
import os
import logging
logger = logging.getLogger(__name__)
_ENABLED = os.getenv("OTEL_ENABLED", "1") not in ("0", "false", "False", "")
_ENDPOINT = os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://qihu-aiflow-alloy:4317").rstrip("/")
if not _ENDPOINT.startswith("http://") and not _ENDPOINT.startswith("https://"):
_ENDPOINT = "http://" + _ENDPOINT
_tracer = None
_meter = None
_initialized = False
_duration_hist = None
_span_counter = None
def init_otel() -> None:
"""构建 TracerProvider + MeterProvider(幂等)。失败则降级为 no-op。"""
global _tracer, _meter, _initialized
if _initialized:
return
_initialized = True
if not _ENABLED:
logger.info("[otel] disabled (OTEL_ENABLED=0)")
return
try:
from opentelemetry import trace, metrics
from opentelemetry.sdk.resources import Resource
from opentelemetry.semconv.resource import ResourceAttributes
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (
OTLPSpanExporter,
)
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (
OTLPMetricExporter,
)
resource = Resource.create({ResourceAttributes.SERVICE_NAME: "qihu-aiflow"})
# --- traces ---
trace_provider = TracerProvider(resource=resource)
trace_provider.add_span_processor(
BatchSpanProcessor(OTLPSpanExporter(endpoint=_ENDPOINT, insecure=True))
)
trace.set_tracer_provider(trace_provider)
_tracer = trace.get_tracer("qihu-aiflow")
# --- metrics ---
metric_reader = PeriodicExportingMetricReader(
OTLPMetricExporter(endpoint=_ENDPOINT, insecure=True)
)
meter_provider = MeterProvider(resource=resource, metric_readers=[metric_reader])
metrics.set_meter_provider(meter_provider)
_meter = metrics.get_meter("qihu-aiflow")
logger.info(f"[otel] tracer+meter ready -> {_ENDPOINT}")
except Exception as e: # pragma: no cover - 降级保护
logger.warning(f"[otel] init failed, degraded to no-op: {e}")
_tracer = None
_meter = None
def get_tracer():
"""返回 tracer;首次调用触发 init。未启用/失败返回 None。"""
if _tracer is None and _ENABLED:
init_otel()
return _tracer
def get_meter():
"""返回 meter;首次调用触发 init。未启用/失败返回 None。"""
if _meter is None and _ENABLED:
init_otel()
return _meter
def current_span_cm(name: str, attributes: dict | None = None):
"""返回一个 OTel span 的上下文管理器(同步/异步通用)。失败时返回 None。"""
tr = get_tracer()
if tr is None:
return None
try:
return tr.start_as_current_span(name, attributes=attributes or {})
except Exception as e: # pragma: no cover
logger.warning(f"[otel] start_span failed: {e}")
return None
def record_span_metrics(name: str, elapsed_ms: float, status: str) -> None:
"""记录 span 指标:耗时直方图 + 调用计数(供 Grafana 出图)。失败安全。"""
m = get_meter()
if m is None:
return
global _duration_hist, _span_counter
try:
if _duration_hist is None:
_duration_hist = m.create_histogram(
"aiflow_span_duration_ms", "Span duration in milliseconds"
)
_span_counter = m.create_counter("aiflow_span_count", "Span invocation count")
attrs = {"span": name, "status": status}
_duration_hist.record(elapsed_ms, attrs)
_span_counter.add(1, attrs)
except Exception: # pragma: no cover
pass