Files
evo-ai/.venv/lib/python3.10/site-packages/google/cloud/bigquery/opentelemetry_tracing.py
2025-04-25 15:30:54 -03:00

165 lines
6.0 KiB
Python

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
from contextlib import contextmanager
from google.api_core.exceptions import GoogleAPICallError # type: ignore
logger = logging.getLogger(__name__)
try:
from opentelemetry import trace # type: ignore
from opentelemetry.instrumentation.utils import http_status_to_status_code # type: ignore
from opentelemetry.trace.status import Status # type: ignore
HAS_OPENTELEMETRY = True
_warned_telemetry = True
except ImportError:
HAS_OPENTELEMETRY = False
_warned_telemetry = False
_default_attributes = {
"db.system": "BigQuery"
} # static, default values assigned to all spans
@contextmanager
def create_span(name, attributes=None, client=None, job_ref=None):
"""Creates a ContextManager for a Span to be exported to the configured exporter.
If no configuration exists yields None.
Args:
name (str): Name that will be set for the span being created
attributes (Optional[dict]):
Additional attributes that pertain to
the specific API call (i.e. not a default attribute)
client (Optional[google.cloud.bigquery.client.Client]):
Pass in a Client object to extract any attributes that may be
relevant to it and add them to the created spans.
job_ref (Optional[google.cloud.bigquery.job._AsyncJob])
Pass in a _AsyncJob object to extract any attributes that may be
relevant to it and add them to the created spans.
Yields:
opentelemetry.trace.Span: Yields the newly created Span.
Raises:
google.api_core.exceptions.GoogleAPICallError:
Raised if a span could not be yielded or issue with call to
OpenTelemetry.
"""
global _warned_telemetry
final_attributes = _get_final_span_attributes(attributes, client, job_ref)
if not HAS_OPENTELEMETRY:
if not _warned_telemetry:
logger.debug(
"This service is instrumented using OpenTelemetry. "
"OpenTelemetry or one of its components could not be imported; "
"please add compatible versions of opentelemetry-api and "
"opentelemetry-instrumentation packages in order to get BigQuery "
"Tracing data."
)
_warned_telemetry = True
yield None
return
tracer = trace.get_tracer(__name__)
# yield new span value
with tracer.start_as_current_span(name=name, attributes=final_attributes) as span:
try:
yield span
except GoogleAPICallError as error:
if error.code is not None:
span.set_status(Status(http_status_to_status_code(error.code)))
raise
def _get_final_span_attributes(attributes=None, client=None, job_ref=None):
"""Compiles attributes from: client, job_ref, user-provided attributes.
Attributes from all of these sources are merged together. Note the
attributes are added sequentially based on perceived order of precedence:
i.e. attributes added last may overwrite attributes added earlier.
Args:
attributes (Optional[dict]):
Additional attributes that pertain to
the specific API call (i.e. not a default attribute)
client (Optional[google.cloud.bigquery.client.Client]):
Pass in a Client object to extract any attributes that may be
relevant to it and add them to the final_attributes
job_ref (Optional[google.cloud.bigquery.job._AsyncJob])
Pass in a _AsyncJob object to extract any attributes that may be
relevant to it and add them to the final_attributes.
Returns: dict
"""
collected_attributes = _default_attributes.copy()
if client:
collected_attributes.update(_set_client_attributes(client))
if job_ref:
collected_attributes.update(_set_job_attributes(job_ref))
if attributes:
collected_attributes.update(attributes)
final_attributes = {k: v for k, v in collected_attributes.items() if v is not None}
return final_attributes
def _set_client_attributes(client):
return {"db.name": client.project, "location": client.location}
def _set_job_attributes(job_ref):
job_attributes = {
"db.name": job_ref.project,
"job_id": job_ref.job_id,
"state": job_ref.state,
}
job_attributes["hasErrors"] = job_ref.error_result is not None
if job_ref.created is not None:
job_attributes["timeCreated"] = job_ref.created.isoformat()
if job_ref.started is not None:
job_attributes["timeStarted"] = job_ref.started.isoformat()
if job_ref.ended is not None:
job_attributes["timeEnded"] = job_ref.ended.isoformat()
if job_ref.location is not None:
job_attributes["location"] = job_ref.location
if job_ref.parent_job_id is not None:
job_attributes["parent_job_id"] = job_ref.parent_job_id
if job_ref.num_child_jobs is not None:
job_attributes["num_child_jobs"] = job_ref.num_child_jobs
total_bytes_billed = getattr(job_ref, "total_bytes_billed", None)
if total_bytes_billed is not None:
job_attributes["total_bytes_billed"] = total_bytes_billed
total_bytes_processed = getattr(job_ref, "total_bytes_processed", None)
if total_bytes_processed is not None:
job_attributes["total_bytes_processed"] = total_bytes_processed
return job_attributes