install application insights to FastAPI server

Author: ks6088ts

docs/index.md

@@ -15,3 +15,8 @@
 - [FastAPI で作成した API エンドポイントをモデル コンテキスト プロトコル (MCP) ツールとして公開してみる](https://dev.classmethod.jp/articles/fastapi-api-mcp/)
 - [MCP Inspector > docs](https://modelcontextprotocol.io/docs/tools/inspector)
 - [MCP Inspector > codes](https://github.com/modelcontextprotocol/inspector)
+
+## Application Insights
+
+- [Application Insights の概要 - OpenTelemetry の可観測性](https://learn.microsoft.com/ja-jp/azure/azure-monitor/app/app-insights-overview)
+- [FastAPI のテレメトリデータを Azure Application Insights に送る](https://qiita.com/hoto17296/items/2f366dfabdbe3d1d4e97)

template_fastapi/app.py

@@ -3,11 +3,23 @@
 ref. https://github.com/tadata-org/fastapi_mcp/blob/v0.3.4/examples/shared/apps/items.py
 """
 
+from os import getenv
+
+from azure.monitor.opentelemetry import configure_azure_monitor
 from fastapi import FastAPI, HTTPException, Query
+from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
 from pydantic import BaseModel
 
 app = FastAPI()
 
+# If AZURE_APPLICATIONINSIGHTS_CONNECTION_STRING exists, configure Azure Monitor
+AZURE_CONNECTION_STRING = getenv("AZURE_APPLICATIONINSIGHTS_CONNECTION_STRING")
+if AZURE_CONNECTION_STRING:
+    configure_azure_monitor(
+        connection_string=AZURE_CONNECTION_STRING,
+    )
+    FastAPIInstrumentor.instrument_app(app)
+
 
 class Item(BaseModel):
     id: int