[Trace] Support trace log (#2864)

* add opentelemetry

* add opentelemetry

* add opentelemetry on dequeue

* add opentelemetry on dequeue

* add opentelemetry on dequeue

fastdeploy/engine/engine.py

@@ -47,7 +47,8 @@ from fastdeploy.output.token_processor import (TokenProcessor,
                                                WarmUpTokenProcessor)
 from fastdeploy.splitwise.splitwise_connector import SplitwiseConnector
 from fastdeploy.utils import EngineError, console_logger, llm_logger
-
+from fastdeploy.metrics.trace_util import extract_from_metadata, start_span, start_span_request
+from opentelemetry import trace
 
 class LLMEngine(object):
     """
@@ -56,6 +57,7 @@ class LLMEngine(object):
     Attributes:
         cfg (Config): Configuration object containing all the parameters.
         cached_generated_tokens (queue.Queue): Queue to store generated tokens.
+        cached_generated_tokens (queue.Queue): Queue to store generated tokens.
         scheduler (LocalScheduler or GlobalScheduler): Scheduling tasks.
         input_processor (InputPreprocessor): Preprocessor for input data.
         resource_manager (ResourceManager): Manager for resource allocation.
@@ -376,6 +378,9 @@ class LLMEngine(object):
                 results: List[Tuple[str, Optional[str]]] = list()
                 if data:
                     request = Request.from_dict(data) 
+                    start_span("ENQUEUE_ZMQ", data, trace.SpanKind.PRODUCER)     
+                             
+
                     llm_logger.debug(f"Receive request: {request}")
 
                     err_msg = None
@@ -706,6 +711,8 @@ class LLMEngine(object):
         """
         Insert tasks to engine.
         """
+        for task in tasks:
+            start_span_request("DEQUEUE", task, trace.SpanKind.CONSUMER) 
         # TODO 返回至 scheduler
         if allocated:
             current_tasks = []

fastdeploy/engine/request.py

@@ -55,7 +55,8 @@ class Request:
                  guided_grammar: Optional[Any] = None,
                  structural_tag: Optional[Any] = None,
                  guided_json_object: Optional[bool] = None,
-                 enable_thinking: Optional[bool] = True) -> None:
+                 enable_thinking: Optional[bool] = True,
+                 trace_carrier: dict = dict()) -> None:
         self.request_id = request_id
         self.prompt = prompt
         self.prompt_token_ids = prompt_token_ids
@@ -91,6 +92,7 @@ class Request:
         self.multimodal_data = multimodal_data
 
         self.enable_thinking = enable_thinking
+        self.trace_carrier = trace_carrier
 
     @classmethod
     def from_dict(cls, d: dict):
@@ -120,7 +122,8 @@ class Request:
                    guided_grammar=d.get("guided_grammar", None),
                    structural_tag=d.get("structural_tag", None),
                    guided_json_object=d.get("guided_json_object", None),
-                   enable_thinking=d.get("enable_thinking", True))
+                   enable_thinking=d.get("enable_thinking", True),
+                   trace_carrier=d.get("trace_carrier", {}))
 
     def to_dict(self) -> dict:
         """convert Request into a serializable dict """
@@ -142,7 +145,8 @@ class Request:
             "raw_request": self.raw_request,
             "disaggregate_info": self.disaggregate_info,
             "draft_token_ids": self.draft_token_ids,
-            "enable_thinking": self.enable_thinking
+            "enable_thinking": self.enable_thinking,
+            "trace_carrier": self.trace_carrier
         }
         add_params = [
             "guided_json", "guided_regex", "guided_choice", "guided_grammar",

fastdeploy/entrypoints/openai/api_server.py

@@ -24,6 +24,7 @@ import zmq
 from fastapi import FastAPI, Request
 from fastapi.responses import JSONResponse, Response, StreamingResponse
 from prometheus_client import CONTENT_TYPE_LATEST
+from fastdeploy.metrics.trace_util import inject_to_metadata
 
 from fastdeploy.engine.args_utils import EngineArgs
 from fastdeploy.engine.engine import LLMEngine
@@ -210,6 +211,7 @@ async def create_chat_completion(request: ChatCompletionRequest):
             return JSONResponse(
                 content={"error": "Worker Service Not Healthy"},
                 status_code=304)
+    inject_to_metadata(request)
     generator = await app.state.chat_handler.create_chat_completion(request)
 
     if isinstance(generator, ErrorResponse):

fastdeploy/metrics/trace_util.py

@@ -0,0 +1,144 @@
+from opentelemetry.propagate import inject, extract
+from opentelemetry import trace
+
+import json
+import os
+
+# create global OpenTelemetry tracer
+tracer = trace.get_tracer(__name__)
+
+# OpenTelemetry Trace context store in metadata
+TRACE_CARRIER = "trace_carrier"
+
+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:
+            return
+        if is_opentelemetry_instrumented() == 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 is_opentelemetry_instrumented() == False:
+            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 is_opentelemetry_instrumented() == False:
+            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
+
+def is_opentelemetry_instrumented() -> bool:
+    """
+        check OpenTelemetry is start or not
+    """
+    try:
+        return (
+            os.getenv("OTEL_PYTHONE_DISABLED_INSTRUMENTATIONS") is not None
+            or os.getenv("OTEL_SERVICE_NAME") is not None
+            or os.getenv("OTEL_TRACES_EXPORTER") is not None
+        )
+    except Exception:
+        return False
+    
+    

requirements.txt

@@ -29,3 +29,9 @@ triton==3.3
 use-triton-in-paddle
 crcmod
 fastsafetensors==0.1.14
+opentelemetry-api>=1.24.0
+opentelemetry-sdk>=1.24.0
+opentelemetry-instrumentation-redis
+opentelemetry-instrumentation-mysql
+opentelemetry-distro 
+opentelemetry-exporter-otlp

setup.py

@@ -19,6 +19,9 @@ import re
 import sys
 import paddle
 import subprocess
+from setuptools import setup
+from setuptools.command.install import install
+from pathlib import Path
 from pathlib import Path
 from setuptools import Extension, find_packages, setup
 from setuptools.command.build_ext import build_ext
@@ -140,6 +143,15 @@ class CMakeBuild(build_ext):
                        cwd=build_temp,
                        check=True)
 
+class PostInstallCommand(install):
+    """在标准安装完成后执行自定义命令"""
+    def run(self):
+        # 先执行标准安装步骤
+        install.run(self)
+        # 执行自定义命令
+        subprocess.check_call(["opentelemetry-bootstrap", "-a", "install"])
+        subprocess.check_call(["pip", "install", "opentelemetry-instrumentation-fastapi"])
+
 def load_requirements():
     """Load dependencies from requirements.txt"""
     requirements_path = os.path.join(os.path.dirname(__file__),
@@ -169,6 +181,8 @@ def get_name():
 
 cmdclass_dict = {'bdist_wheel': CustomBdistWheel}
 cmdclass_dict['build_ext'] = CMakeBuild
+FASTDEPLOY_VERSION = os.environ.get("FASTDEPLOY_VERSION", "2.0.0-dev")
+cmdclass_dict['build_optl'] = PostInstallCommand
 
 setup(
     name=get_name(),
@@ -211,3 +225,4 @@ setup(
     python_requires=">=3.7",
     extras_require={"test": ["pytest>=6.0"]},
 )
+