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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
An example to show an application instrumented with the OpenTelemetry flask instrumentation.
Calls made with the flask library will be automatically tracked and telemetry is exported to
application insights with the AzureMonitorTraceExporter.
See more info on the flask instrumentation here:
https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation/opentelemetry-instrumentation-flask
"""
import os
import flask
from opentelemetry import trace
from opentelemetry.instrumentation.flask import FlaskInstrumentor
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
# Enable instrumentation in the flask library.
FlaskInstrumentor().instrument()
app = flask.Flask(__name__)
trace.set_tracer_provider(TracerProvider())
tracer = trace.get_tracer(__name__)
span_processor = BatchSpanProcessor(
AzureMonitorTraceExporter.from_connection_string(
os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"]
)
)
trace.get_tracer_provider().add_span_processor(span_processor)
@app.route("/")
def test():
return "Test flask request"
if __name__ == "__main__":
app.run(host="localhost", port=8080, threaded=True)
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