seliseblocks-lmt 0.0.4

Logging, Monitoring, and Tracing library for Selise Blocks applications using Azure Service Bus and RabbitMQ.

Selise Blocks LMT

Selise Blocks LMT (Logging, Monitoring, and Tracing) library for Selise Blocks applications. It sends logs and traces to Azure Service Bus for centralized processing.

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Installation

Using pip:

pip install seliseblocks-lmt

Using uv:

uv add seliseblocks-lmt

Add to pyproject.toml:

[project]
dependencies = [
    "seliseblocks-lmt>=0.0.1",
]

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Complete Example

import logging
from fastapi import FastAPI, Request
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from blocks_lmt.log_config import configure_logger
from blocks_lmt.tracing import configure_tracing
from blocks_lmt.activity import Activity

app = FastAPI(title="Example Service with LMT")
FastAPIInstrumentor.instrument_app(app)

configure_logger(
    x_blocks_key="default-tenant",
    blocks_service_id="example-service",
    connection_string="Endpoint=sb://your-namespace.servicebus.windows.net/;..."
)

configure_tracing(
    x_blocks_key="default-tenant",
    blocks_service_id="example-service",
    connection_string="Endpoint=sb://your-namespace.servicebus.windows.net/;..."
)

logger = logging.getLogger(__name__)

@app.get("/")
async def root():
    logger.info("Root endpoint called")
    with Activity.start("handle_root_request") as activity:
        activity.set_property("endpoint", "/")
        return {"message": "Hello World"}

@app.get("/health")
async def health(request: Request):
    logger.info("Health endpoint called")
    Activity.set_current_properties({
        "http.query": str(dict(request.query_params)),
        "http.headers": str(dict(request.headers))
    })
    return {"status": "healthy"}

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Activity API Reference

Context Manager

with Activity.start("operation_name") as activity:
    activity.set_property("key", "value")
    activity.set_properties({"key1": "val1", "key2": "val2"})

Status Handling

from opentelemetry.trace import StatusCode

Activity.set_current_status(StatusCode.ERROR, "Error message")

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Best Practices

1. Always instrument FastAPI:

FastAPIInstrumentor.instrument_app(app)

2. Use context managers for activities to ensure proper cleanup:

with Activity.start("operation"):
    ...

3. Log inside active spans to maintain trace correlation:

logger.info("This log is trace-correlated")

4. Add meaningful properties to activities:

activity.set_property("user_id", user_id)

---

Dependencies

azure-servicebus = ">=7.14.2"
opentelemetry-api = ">=1.33.1"
opentelemetry-sdk = ">=1.33.1"
opentelemetry-instrumentation-fastapi = ">=0.54b1"