Files
FastDeploy/fastdeploy/metrics/trace_util.py
sg263 c71d955e9c [Trace]fix opentelemetry can not work in uvicorn (#2907)
* add opentelemetry

* add opentelemetry

* add opentelemetry on dequeue

* add opentelemetry on dequeue

* add opentelemetry on dequeue

* fix opentelemetry-instrumentation-fastapi

* fix annotation

* fix opentelemetry-bootstrap

* fix opentelemetry-bootstrap

* fix opentelemetry can not work in uvicorn

* remove unless import

* move conf to env

* fix useless commit

---------

Co-authored-by: shige <shige@baidu.com>
2025-07-17 23:16:29 +08:00

198 lines
6.7 KiB
Python

from opentelemetry.propagate import inject, extract
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace.export import ConsoleSpanExporter
from opentelemetry.sdk.resources import Resource
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from fastapi import FastAPI
from fastdeploy.utils import (llm_logger)
from fastdeploy import envs
import json
# OpenTelemetry Trace context store in metadata
TRACE_CARRIER = "trace_carrier"
traces_enable = False
tracer = trace.get_tracer(__name__)
def set_up():
try:
# when TRACES_ENABLED=true start trace
global traces_enable
traces_enable = envs.TRACES_ENABLE.lower() == "true"
if not traces_enable:
llm_logger.warning("Opentelemetry is DISABLED.")
return
llm_logger.info("Opentelemetry is ENABLED, configuring...")
# --- read env ---
service_name = envs.FD_SERVICE_NAME
host_name = envs.FD_HOST_NAME
# --- set attributes (Service Name, Host Name, etc.) ---
resource_attributes = {
"service.name": service_name
}
if host_name:
resource_attributes["host.name"] = host_name
resource = Resource(attributes=resource_attributes)
# --- set Exporter ---
exporter_type = envs.TRACES_EXPORTER.lower()
if exporter_type == "otlp":
endpoint = envs.EXPORTER_OTLP_ENDPOINT # should be set
headers = envs.EXPORTER_OTLP_HEADERS # e.g., "Authentication=***,k2=v2"
otlp_exporter = OTLPSpanExporter(
endpoint=endpoint,
headers=dict(item.split("=") for item in headers.split(",")) if headers else None
)
processor = BatchSpanProcessor(otlp_exporter)
llm_logger.info(f"Using OTLP Exporter, sending to {endpoint} with headers {headers}")
else: # default console
processor = BatchSpanProcessor(ConsoleSpanExporter())
llm_logger.info("Using Console Exporter.")
# --- set Tracer Provider ---
provider = TracerProvider(resource=resource)
provider.add_span_processor(processor)
trace.set_tracer_provider(provider)
global tracer
tracer = trace.get_tracer(__name__)
except:
llm_logger.error("set_up failed")
pass
def instrument(app: FastAPI):
try:
set_up()
if traces_enable:
llm_logger.info("Applying instrumentors...")
FastAPIInstrumentor.instrument_app(app)
except:
llm_logger.info("instrument failed")
pass
def inject_to_metadata(request, metadata_attr='metadata'):
"""
Inject OpenTelemetry trace context into the metadata field of the request.
Parameters:
request: can be a dict or object, with metadata attributes or fields.
metadata_attr: the field name of metadata, default is 'metadata'.
Operation:
- If metadata does not exist, create a new one and mount it on the request.
- Inject the current trace context as a JSON string and store it in metadata.
- Use the key TRACE_CARRIER to store the injected content.
Note:
- This function is a non-blocking operation, and errors are silently ignored.
- If there is no metadata attribute in the request, an empty dict will be created for it as its attribute
"""
try:
if request is None or traces_enable == False:
return
metadata = request.get(metadata_attr) if isinstance(request, dict) else getattr(request, metadata_attr, None)
if metadata is None:
metadata = {}
if isinstance(request, dict):
request[metadata_attr] = metadata
else:
setattr(request, metadata_attr, metadata)
trace_carrier = {}
inject(trace_carrier)
trace_carrier_json_string = json.dumps(trace_carrier)
metadata[TRACE_CARRIER] = trace_carrier_json_string
except:
pass
def extract_from_metadata(request, metadata_attr='metadata'):
"""
Extract trace context from metadata of request object (dict or class instance).
Parameters:
request: can be a dictionary or any object, containing metadata attributes or fields.
metadata_attr: metadata field name, default is 'metadata'.
Returns:
- Extraction success: returns OpenTelemetry context object (Context)
- Extraction failure or exception: returns None
"""
try:
metadata = request.get(metadata_attr) if isinstance(request, dict) else getattr(request, metadata_attr, None)
if metadata is None:
return None
trace_carrier_json_string = metadata.get(TRACE_CARRIER)
if trace_carrier_json_string is None:
return None
trace_carrier = json.loads(trace_carrier_json_string)
ctx = extract(trace_carrier)
return ctx
except:
return None
def extract_from_request(request):
"""
Extract trace context from trace_carrier of request object (dict or class instance).
Parameters:
request: can be a dictionary or any object, containing metadata attributes or fields.
metadata_attr: metadata field name, default is 'metadata'.
Returns:
- Extraction success: returns OpenTelemetry context object (Context)
- Extraction failure or exception: returns None
"""
try:
trace_carrier_info = getattr(request, TRACE_CARRIER, None)
if trace_carrier_info is None:
return None
trace_carrier = json.loads(trace_carrier_info)
ctx = extract(trace_carrier)
return ctx
except:
return None
def start_span(span_name, request, kind=trace.SpanKind.CLIENT):
"""
just start a new span in request trace context
"""
try:
if not traces_enable:
return
# extract Trace context from request.metadata.trace_carrier
ctx = extract_from_metadata(request)
with tracer.start_as_current_span(span_name, context=ctx, kind=kind) as span:
pass
except:
pass
def start_span_request(span_name, request, kind=trace.SpanKind.CLIENT):
"""
just start a new span in request trace context
"""
try:
if not traces_enable:
return
# extract Trace context from request.metadata.trace_carrier
ctx = extract_from_request(request)
with tracer.start_as_current_span(span_name, context=ctx, kind=kind) as span:
pass
except:
pass