我正在使用 Azure Application Insights 进行日志记录。我正在尝试设置一个环境,让我的所有日志都具有相同的跟踪 ID/请求 ID 以提高可见性。
在记录请求的文档中,使用以下代码:
from flask import Flask
from opencensus.ext.azure.trace_exporter import AzureExporter
from opencensus.ext.flask.flask_middleware import FlaskMiddleware
from opencensus.trace.samplers import ProbabilitySampler
app = Flask(__name__)
middleware = FlaskMiddleware(
app,
exporter=AzureExporter(connection_string="InstrumentationKey=<your-ikey-here>"),
sampler=ProbabilitySampler(rate=1.0),
)
@app.route('/')
def hello():
return 'Hello World!'
if __name__ == '__main__':
app.run(host='localhost', port=8080, threaded=True)
请求已成功记录在 Azure Monitor 中,其请求 ID 为 operation_Id。
我可以添加具有相同 operation_Id 和traces的日志,并且我将能够查看某些请求中的跟踪记录:
from opencensus.ext.azure.trace_exporter import AzureExporter
from opencensus.ext.azure.log_exporter import AzureLogHandler
from opencensus.ext.flask.flask_middleware import FlaskMiddleware
from opencensus.trace.samplers import ProbabilitySampler
from opencensus.trace import config_integration
from opencensus.trace.samplers import AlwaysOnSampler
from opencensus.trace.tracer import Tracer
config_integration.trace_integrations(['logging'])
logging.basicConfig(format='%(asctime)s traceId=%(traceId)s spanId=%(spanId)s %(message)s')
tracer = Tracer(sampler=AlwaysOnSampler())
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.addHandler(AzureLogHandler(
connection_string='InstrumentationKey=...')
)
app = Flask(__name__)
middleware = FlaskMiddleware(
app,
exporter=AzureExporter(connection_string="InstrumentationKey=..."),
sampler=ProbabilitySampler(rate=1.0),
)
但是,如何在响应中将这个同时记录在请求和跟踪中的 trace-id 作为标头写入用户呢?