# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
"""Handler that integrates with Stackdriver."""
from __future__ import annotations
import logging
import warnings
from collections.abc import Collection
from functools import cached_property
from typing import TYPE_CHECKING
from urllib.parse import urlencode
from google.cloud import logging as gcp_logging
from google.cloud.logging import Resource
from google.cloud.logging.handlers.transports import BackgroundThreadTransport, Transport
from google.cloud.logging_v2.services.logging_service_v2 import LoggingServiceV2Client
from google.cloud.logging_v2.types import ListLogEntriesRequest, ListLogEntriesResponse
from airflow.exceptions import RemovedInAirflow3Warning
from airflow.providers.google.cloud.utils.credentials_provider import get_credentials_and_project_id
from airflow.providers.google.common.consts import CLIENT_INFO
from airflow.providers.google.version_compat import AIRFLOW_V_3_0_PLUS
from airflow.utils.log.trigger_handler import ctx_indiv_trigger
from airflow.utils.types import NOTSET, ArgNotSet
if TYPE_CHECKING:
from google.auth.credentials import Credentials
from airflow.models import TaskInstance
[docs]DEFAULT_LOGGER_NAME = "airflow"
_GLOBAL_RESOURCE = Resource(type="global", labels={})
_DEFAULT_SCOPESS = frozenset(
["https://www.googleapis.com/auth/logging.read", "https://www.googleapis.com/auth/logging.write"]
)
[docs]class StackdriverTaskHandler(logging.Handler):
"""
Handler that directly makes Stackdriver logging API calls.
This is a Python standard ``logging`` handler using that can be used to
route Python standard logging messages directly to the Stackdriver
Logging API.
It can also be used to save logs for executing tasks. To do this, you should set as a handler with
the name "tasks". In this case, it will also be used to read the log for display in Web UI.
This handler supports both an asynchronous and synchronous transport.
:param gcp_key_path: Path to Google Cloud Credential JSON file.
If omitted, authorization based on `the Application Default Credentials
<https://cloud.google.com/docs/authentication/production#finding_credentials_automatically>`__ will
be used.
:param scopes: OAuth scopes for the credentials,
:param name: the name of the custom log in Stackdriver Logging. Defaults
to 'airflow'. The name of the Python logger will be represented
in the ``python_logger`` field.
:param transport: Class for creating new transport objects. It should
extend from the base :class:`google.cloud.logging.handlers.Transport` type and
implement :meth`google.cloud.logging.handlers.Transport.send`. Defaults to
:class:`google.cloud.logging.handlers.BackgroundThreadTransport`. The other
option is :class:`google.cloud.logging.handlers.SyncTransport`.
:param resource: (Optional) Monitored resource of the entry, defaults
to the global resource type.
:param labels: (Optional) Mapping of labels for the entry.
"""
[docs] LABEL_TASK_ID = "task_id"
[docs] LABEL_DAG_ID = "dag_id"
[docs] LABEL_LOGICAL_DATE = "logical_date" if AIRFLOW_V_3_0_PLUS else "execution_date"
[docs] LABEL_TRY_NUMBER = "try_number"
[docs] LOG_VIEWER_BASE_URL = "https://console.cloud.google.com/logs/viewer"
[docs] LOG_NAME = "Google Stackdriver"
[docs] trigger_supported = True
[docs] trigger_should_queue = False
[docs] trigger_should_wrap = False
[docs] trigger_send_end_marker = False
def __init__(
self,
gcp_key_path: str | None = None,
scopes: Collection[str] | None = _DEFAULT_SCOPESS,
name: str | ArgNotSet = NOTSET,
transport: type[Transport] = BackgroundThreadTransport,
resource: Resource = _GLOBAL_RESOURCE,
labels: dict[str, str] | None = None,
gcp_log_name: str = DEFAULT_LOGGER_NAME,
):
if name is not NOTSET:
warnings.warn(
"Param `name` is deprecated and will be removed in a future release. "
"Please use `gcp_log_name` instead. ",
RemovedInAirflow3Warning,
stacklevel=2,
)
gcp_log_name = str(name)
super().__init__()
self.gcp_key_path: str | None = gcp_key_path
self.scopes: Collection[str] | None = scopes
self.gcp_log_name: str = gcp_log_name
self.transport_type: type[Transport] = transport
self.resource: Resource = resource
self.labels: dict[str, str] | None = labels
self.task_instance_labels: dict[str, str] | None = {}
self.task_instance_hostname = "default-hostname"
@cached_property
def _credentials_and_project(self) -> tuple[Credentials, str]:
credentials, project = get_credentials_and_project_id(
key_path=self.gcp_key_path, scopes=self.scopes, disable_logging=True
)
return credentials, project
@property
def _client(self) -> gcp_logging.Client:
"""The Cloud Library API client."""
credentials, project = self._credentials_and_project
client = gcp_logging.Client(
credentials=credentials,
project=project,
client_info=CLIENT_INFO,
)
return client
@property
def _logging_service_client(self) -> LoggingServiceV2Client:
"""The Cloud logging service v2 client."""
credentials, _ = self._credentials_and_project
client = LoggingServiceV2Client(
credentials=credentials,
client_info=CLIENT_INFO,
)
return client
@cached_property
def _transport(self) -> Transport:
"""Object responsible for sending data to Stackdriver."""
# The Transport object is badly defined (no init) but in the docs client/name as constructor
# arguments are a requirement for any class that derives from Transport class, hence ignore:
return self.transport_type(self._client, self.gcp_log_name) # type: ignore[call-arg]
def _get_labels(self, task_instance=None):
if task_instance:
ti_labels = self._task_instance_to_labels(task_instance)
else:
ti_labels = self.task_instance_labels
labels: dict[str, str] | None
if self.labels and ti_labels:
labels = {}
labels.update(self.labels)
labels.update(ti_labels)
elif self.labels:
labels = self.labels
elif ti_labels:
labels = ti_labels
else:
labels = None
return labels or {}
[docs] def emit(self, record: logging.LogRecord) -> None:
"""
Actually log the specified logging record.
:param record: The record to be logged.
"""
message = self.format(record)
ti = None
if getattr(record, ctx_indiv_trigger.name, None):
ti = getattr(record, "task_instance", None) # trigger context
labels = self._get_labels(ti)
self._transport.send(record, message, resource=self.resource, labels=labels)
[docs] def set_context(self, task_instance: TaskInstance) -> None:
"""
Configure the logger to add information with information about the current task.
:param task_instance: Currently executed task
"""
self.task_instance_labels = self._task_instance_to_labels(task_instance)
self.task_instance_hostname = task_instance.hostname
[docs] def read(
self, task_instance: TaskInstance, try_number: int | None = None, metadata: dict | None = None
) -> tuple[list[tuple[tuple[str, str]]], list[dict[str, str | bool]]]:
"""
Read logs of given task instance from Stackdriver logging.
:param task_instance: task instance object
:param try_number: task instance try_number to read logs from. If None
it returns all logs
:param metadata: log metadata. It is used for steaming log reading and auto-tailing.
:return: a tuple of (
list of (one element tuple with two element tuple - hostname and logs)
and list of metadata)
"""
if try_number is not None and try_number < 1:
logs = f"Error fetching the logs. Try number {try_number} is invalid."
return [((self.task_instance_hostname, logs),)], [{"end_of_log": "true"}]
if not metadata:
metadata = {}
ti_labels = self._task_instance_to_labels(task_instance)
if try_number is not None:
ti_labels[self.LABEL_TRY_NUMBER] = str(try_number)
else:
del ti_labels[self.LABEL_TRY_NUMBER]
log_filter = self._prepare_log_filter(ti_labels)
next_page_token = metadata.get("next_page_token", None)
all_pages = "download_logs" in metadata and metadata["download_logs"]
messages, end_of_log, next_page_token = self._read_logs(log_filter, next_page_token, all_pages)
new_metadata: dict[str, str | bool] = {"end_of_log": end_of_log}
if next_page_token:
new_metadata["next_page_token"] = next_page_token
return [((self.task_instance_hostname, messages),)], [new_metadata]
def _prepare_log_filter(self, ti_labels: dict[str, str]) -> str:
"""
Prepare the filter that chooses which log entries to fetch.
More information:
https://cloud.google.com/logging/docs/reference/v2/rest/v2/entries/list#body.request_body.FIELDS.filter
https://cloud.google.com/logging/docs/view/advanced-queries
:param ti_labels: Task Instance's labels that will be used to search for logs
:return: logs filter
"""
def escape_label_key(key: str) -> str:
return f'"{key}"' if "." in key else key
def escale_label_value(value: str) -> str:
escaped_value = value.replace("\\", "\\\\").replace('"', '\\"')
return f'"{escaped_value}"'
_, project = self._credentials_and_project
log_filters = [
f"resource.type={escale_label_value(self.resource.type)}",
f'logName="projects/{project}/logs/{self.gcp_log_name}"',
]
for key, value in self.resource.labels.items():
log_filters.append(f"resource.labels.{escape_label_key(key)}={escale_label_value(value)}")
for key, value in ti_labels.items():
log_filters.append(f"labels.{escape_label_key(key)}={escale_label_value(value)}")
return "\n".join(log_filters)
def _read_logs(
self, log_filter: str, next_page_token: str | None, all_pages: bool
) -> tuple[str, bool, str | None]:
"""
Send requests to the Stackdriver service and downloads logs.
:param log_filter: Filter specifying the logs to be downloaded.
:param next_page_token: The token of the page from which the log download will start.
If None is passed, it will start from the first page.
:param all_pages: If True is passed, all subpages will be downloaded. Otherwise, only the first
page will be downloaded
:return: A token that contains the following items:
* string with logs
* Boolean value describing whether there are more logs,
* token of the next page
"""
messages = []
new_messages, next_page_token = self._read_single_logs_page(
log_filter=log_filter,
page_token=next_page_token,
)
messages.append(new_messages)
if all_pages:
while next_page_token:
new_messages, next_page_token = self._read_single_logs_page(
log_filter=log_filter, page_token=next_page_token
)
messages.append(new_messages)
if not messages:
break
end_of_log = True
next_page_token = None
else:
end_of_log = not bool(next_page_token)
return "\n".join(messages), end_of_log, next_page_token
def _read_single_logs_page(self, log_filter: str, page_token: str | None = None) -> tuple[str, str]:
"""
Send requests to the Stackdriver service and downloads single pages with logs.
:param log_filter: Filter specifying the logs to be downloaded.
:param page_token: The token of the page to be downloaded. If None is passed, the first page will be
downloaded.
:return: Downloaded logs and next page token
"""
_, project = self._credentials_and_project
request = ListLogEntriesRequest(
resource_names=[f"projects/{project}"],
filter=log_filter,
page_token=page_token,
order_by="timestamp asc",
page_size=1000,
)
response = self._logging_service_client.list_log_entries(request=request)
page: ListLogEntriesResponse = next(response.pages)
messages: list[str] = []
for entry in page.entries:
if "message" in (entry.json_payload or {}):
messages.append(entry.json_payload["message"]) # type: ignore
elif entry.text_payload:
messages.append(entry.text_payload)
return "\n".join(messages), page.next_page_token
@classmethod
def _task_instance_to_labels(cls, ti: TaskInstance) -> dict[str, str]:
return {
cls.LABEL_TASK_ID: ti.task_id,
cls.LABEL_DAG_ID: ti.dag_id,
cls.LABEL_LOGICAL_DATE: str(ti.logical_date.isoformat())
if AIRFLOW_V_3_0_PLUS
else str(ti.execution_date.isoformat()),
cls.LABEL_TRY_NUMBER: str(ti.try_number),
}
@property
[docs] def log_name(self):
"""Return log name."""
return self.LOG_NAME
@cached_property
def _resource_path(self):
segments = [self.resource.type]
for key, value in self.resource.labels:
segments += [key]
segments += [value]
return "/".join(segments)
[docs] def get_external_log_url(self, task_instance: TaskInstance, try_number: int) -> str:
"""
Create an address for an external log collecting service.
:param task_instance: task instance object
:param try_number: task instance try_number to read logs from
:return: URL to the external log collection service
"""
_, project_id = self._credentials_and_project
ti_labels = self._task_instance_to_labels(task_instance)
ti_labels[self.LABEL_TRY_NUMBER] = str(try_number)
log_filter = self._prepare_log_filter(ti_labels)
url_query_string = {
"project": project_id,
"interval": "NO_LIMIT",
"resource": self._resource_path,
"advancedFilter": log_filter,
}
url = f"{self.LOG_VIEWER_BASE_URL}?{urlencode(url_query_string)}"
return url
[docs] def close(self) -> None:
self._transport.flush()