arcade-mcp/libs/arcade-core/arcade_core/telemetry.py
Sam Partee b6b4cd0a4c
🏗️ Restructure: Multi-Package Architecture + uv Migration (#412)
### Overview
Major restructuring from monolithic `arcade-ai` package to modular
library architecture with standardized uv-based dependency management.

![arcade-ai Monorepo
(2)](https://github.com/user-attachments/assets/25f102b0-bb87-4a04-9701-d227d05664b1)

### New Package Structure
- **`arcade-tdk`** - Lightweight toolkit development kit (core
decorators, auth)
- **`arcade-core`** - Core execution engine and catalog functionality  
- **`arcade-serve`** - FastAPI/MCP server components
- **`arcade-ai`** - Meta package that includes CLI functionality.
Optionally include evals via the `evals` extra. Optionally include all
packages via the `all` extra.

### Key Benefits
- **Lighter Dependencies**: Toolkits now depend only on `arcade-tdk` (~2
deps) vs full `arcade-ai` (~30+ deps)
- **Faster Builds**: uv provides 10-100x faster dependency resolution
and installation
- **Better Modularity**: Clear separation of concerns, consumers import
only what they need
- **Standard Tooling**: Eliminates custom poetry scripts, uses standard
Python packaging

### Migration Impact
- All 20 toolkits converted from poetry → uv with `arcade-tdk`
dependencies plus `arcade-ai[evals]` and `arcade-serve` dev
dependencies. When developing locally, devs should install toolkits via
`make install-local`.
- Modern Python 3.10+ type hints throughout
- Standardized build system with hatchling backend
- Enhanced Makefile with robust toolkit management commands
- Removed `arcade dev` CLI command
- Reduce the number of files created by `arcade new` and add an option
to not generate a tests and evals folder.

This foundation enables faster development cycles and cleaner dependency
chains for the growing toolkit ecosystem.

### Todo After this PR is merged
- [ ] Post-merge workflow(s) (release & publish containers, etc)
- [ ] Release order plan. @EricGustin suggests releasing in the
following order:
    1. `arcade-core` version 0.1.0
    2. `arcade-serve` version 0.1.0 and `arcade-tdk` version 0.1.0
    3. `arcade-ai` version 2.0.0
4. Patch release for all toolkits (all changes in toolkits are internal
refactors)
- [ ] [Update docs](https://github.com/ArcadeAI/docs/pull/318)

---------

Co-authored-by: Eric Gustin <eric@arcade.dev>
Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
2025-06-11 16:48:17 -07:00

130 lines
5.4 KiB
Python

import logging
import os
import urllib.parse
from typing import Optional
from fastapi import FastAPI
from opentelemetry import _logs, trace
from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from opentelemetry.metrics import Meter, get_meter_provider, set_meter_provider
from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
class ShutdownError(Exception):
pass
class OTELHandler:
def __init__(self, enable: bool = True, log_level: int = logging.INFO):
self.enable = enable
self.log_level = log_level
self._tracer_provider: Optional[TracerProvider] = None
self._tracer_span_exporter: Optional[OTLPSpanExporter] = None
self._meter_provider: Optional[MeterProvider] = None
self._meter_reader: Optional[PeriodicExportingMetricReader] = None
self._otlp_metric_exporter: Optional[OTLPMetricExporter] = None
self._logger_provider: Optional[LoggerProvider] = None
self._log_processor: Optional[BatchLogRecordProcessor] = None
self.environment = os.environ.get("ARCADE_ENVIRONMENT", "local")
def instrument_app(self, app: FastAPI) -> None:
if self.enable:
logging.info(
"🔎 Initializing OpenTelemetry. Use environment variables to configure the connection"
)
self.resource = Resource(
attributes={SERVICE_NAME: "arcade-worker", "environment": self.environment}
)
self._init_tracer()
self._init_metrics()
self._init_logging(self.log_level)
FastAPIInstrumentor().instrument_app(app)
def _init_tracer(self) -> None:
self._tracer_provider = TracerProvider(resource=self.resource)
trace.set_tracer_provider(self._tracer_provider)
# Create an OTLP exporter
self._tracer_span_exporter = OTLPSpanExporter()
try:
self._tracer_span_exporter.export([trace.get_tracer(__name__).start_span("ping")])
except Exception as e:
raise ConnectionError(
f"Could not connect to OpenTelemetry Tracer endpoint. Check OpenTelemetry configuration or disable: {e}"
)
# Create a batch span processor and add the exporter
span_processor = BatchSpanProcessor(self._tracer_span_exporter)
self._tracer_provider.add_span_processor(span_processor)
def _init_metrics(self) -> None:
self._otlp_metric_exporter = OTLPMetricExporter()
self._meter_reader = PeriodicExportingMetricReader(self._otlp_metric_exporter)
self._meter_provider = MeterProvider(
metric_readers=[self._meter_reader], resource=self.resource
)
set_meter_provider(self._meter_provider)
def get_meter(self) -> Meter:
return get_meter_provider().get_meter(__name__)
def _init_logging(self, log_level: int) -> None:
otlp_log_exporter = OTLPLogExporter()
self._logger_provider = LoggerProvider(resource=self.resource)
_logs.set_logger_provider(self._logger_provider)
# Create a batch span processor and add the exporter
self._log_processor = BatchLogRecordProcessor(otlp_log_exporter)
self._logger_provider.add_log_record_processor(self._log_processor)
handler = LoggingHandler(level=log_level, logger_provider=self._logger_provider)
logging.getLogger().addHandler(handler)
# Create a filter for urllib3 connection logs related to OpenTelemetry
class OTELConnectionFilter(logging.Filter):
def filter(self, record: logging.LogRecord) -> bool:
# Filter out connection logs to OpenTelemetry endpoints
parsed_url = urllib.parse.urlparse(
os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "")
)
domain = parsed_url.netloc.split(":")[0]
return not (domain and domain in str(getattr(record, "args", ())))
# Apply the filter to the urllib3 logger
urllib3_logger = logging.getLogger("urllib3.connectionpool")
urllib3_logger.addFilter(OTELConnectionFilter())
def _shutdown_tracer(self) -> None:
if self._tracer_span_exporter is None:
raise ShutdownError("Tracer provider not initialized. Failed to shutdown")
self._tracer_span_exporter.shutdown()
def _shutdown_metrics(self) -> None:
if self._otlp_metric_exporter is None:
raise ShutdownError("Meter provider not initialized. Failed to shutdown")
self._otlp_metric_exporter.shutdown()
def _shutdown_logging(self) -> None:
if self._logger_provider is None:
raise ShutdownError("Log provider not initialized. Failed to shutdown")
self._logger_provider.shutdown()
def shutdown(self) -> None:
self._shutdown_tracer()
self._shutdown_metrics()
self._shutdown_logging()