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"""This module contains Google Cloud Functions operators."""
from __future__ import annotations
import re
from typing import TYPE_CHECKING, Any, Sequence
from googleapiclient.errors import HttpError
from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.functions import CloudFunctionsHook
from airflow.providers.google.cloud.links.cloud_functions import (
CloudFunctionsDetailsLink,
CloudFunctionsListLink,
)
from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
from airflow.providers.google.cloud.utils.field_validator import (
GcpBodyFieldValidator,
GcpFieldValidationException,
)
from airflow.version import version
if TYPE_CHECKING:
from airflow.utils.context import Context
def _validate_available_memory_in_mb(value):
if int(value) <= 0:
raise GcpFieldValidationException("The available memory has to be greater than 0")
def _validate_max_instances(value):
if int(value) <= 0:
raise GcpFieldValidationException("The max instances parameter has to be greater than 0")
[docs]CLOUD_FUNCTION_VALIDATION: list[dict[str, Any]] = [
dict(name="name", regexp="^.+$"),
dict(name="description", regexp="^.+$", optional=True),
dict(name="entryPoint", regexp=r"^.+$", optional=True),
dict(name="runtime", regexp=r"^.+$", optional=True),
dict(name="timeout", regexp=r"^.+$", optional=True),
dict(name="availableMemoryMb", custom_validation=_validate_available_memory_in_mb, optional=True),
dict(name="labels", optional=True),
dict(name="environmentVariables", optional=True),
dict(name="network", regexp=r"^.+$", optional=True),
dict(name="maxInstances", optional=True, custom_validation=_validate_max_instances),
dict(
name="source_code",
type="union",
fields=[
dict(name="sourceArchiveUrl", regexp=r"^.+$"),
dict(name="sourceRepositoryUrl", regexp=r"^.+$", api_version="v1beta2"),
dict(name="sourceRepository", type="dict", fields=[dict(name="url", regexp=r"^.+$")]),
dict(name="sourceUploadUrl"),
],
),
dict(
name="trigger",
type="union",
fields=[
dict(
name="httpsTrigger",
type="dict",
fields=[
# This dict should be empty at input (url is added at output)
],
),
dict(
name="eventTrigger",
type="dict",
fields=[
dict(name="eventType", regexp=r"^.+$"),
dict(name="resource", regexp=r"^.+$"),
dict(name="service", regexp=r"^.+$", optional=True),
dict(
name="failurePolicy",
type="dict",
optional=True,
fields=[dict(name="retry", type="dict", optional=True)],
),
],
),
],
),
]
[docs]class CloudFunctionDeployFunctionOperator(GoogleCloudBaseOperator):
"""
Create or update a function in Google Cloud Functions.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudFunctionDeployFunctionOperator`
:param location: Google Cloud region where the function should be created.
:param body: Body of the Cloud Functions definition. The body must be a
Cloud Functions dictionary as described in:
https://cloud.google.com/functions/docs/reference/rest/v1/projects.locations.functions
. Different API versions require different variants of the Cloud Functions
dictionary.
:param project_id: (Optional) Google Cloud project ID where the function
should be created.
:param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
Default 'google_cloud_default'.
:param api_version: (Optional) API version used (for example v1 - default - or
v1beta1).
:param zip_path: Path to zip file containing source code of the function. If the path
is set, the sourceUploadUrl should not be specified in the body or it should
be empty. Then the zip file will be uploaded using the upload URL generated
via generateUploadUrl from the Cloud Functions API.
:param validate_body: If set to False, body validation is not performed.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
# [START gcf_function_deploy_template_fields]
[docs] template_fields: Sequence[str] = (
"body",
"project_id",
"location",
"gcp_conn_id",
"api_version",
"impersonation_chain",
)
# [END gcf_function_deploy_template_fields]
def __init__(
self,
*,
location: str,
body: dict,
project_id: str | None = None,
gcp_conn_id: str = "google_cloud_default",
api_version: str = "v1",
zip_path: str | None = None,
validate_body: bool = True,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
self.project_id = project_id
self.location = location
self.body = body
self.gcp_conn_id = gcp_conn_id
self.api_version = api_version
self.zip_path = zip_path
self.zip_path_preprocessor = ZipPathPreprocessor(body, zip_path)
self._field_validator: GcpBodyFieldValidator | None = None
self.impersonation_chain = impersonation_chain
if validate_body:
self._field_validator = GcpBodyFieldValidator(CLOUD_FUNCTION_VALIDATION, api_version=api_version)
self._validate_inputs()
super().__init__(**kwargs)
def _validate_inputs(self) -> None:
if not self.location:
raise AirflowException("The required parameter 'location' is missing")
if not self.body:
raise AirflowException("The required parameter 'body' is missing")
self.zip_path_preprocessor.preprocess_body()
def _validate_all_body_fields(self) -> None:
if self._field_validator:
self._field_validator.validate(self.body)
def _create_new_function(self, hook) -> None:
hook.create_new_function(project_id=self.project_id, location=self.location, body=self.body)
def _update_function(self, hook) -> None:
hook.update_function(self.body["name"], self.body, self.body.keys())
def _check_if_function_exists(self, hook) -> bool:
name = self.body.get("name")
if not name:
raise GcpFieldValidationException(f"The 'name' field should be present in body: '{self.body}'.")
try:
hook.get_function(name)
except HttpError as e:
status = e.resp.status
if status == 404:
return False
raise e
return True
def _upload_source_code(self, hook):
return hook.upload_function_zip(
project_id=self.project_id, location=self.location, zip_path=self.zip_path
)
def _set_airflow_version_label(self) -> None:
if "labels" not in self.body.keys():
self.body["labels"] = {}
self.body["labels"].update({"airflow-version": "v" + version.replace(".", "-").replace("+", "-")})
[docs] def execute(self, context: Context):
hook = CloudFunctionsHook(
gcp_conn_id=self.gcp_conn_id,
api_version=self.api_version,
impersonation_chain=self.impersonation_chain,
)
if self.zip_path_preprocessor.should_upload_function():
self.body[GCF_SOURCE_UPLOAD_URL] = self._upload_source_code(hook)
self._validate_all_body_fields()
self._set_airflow_version_label()
if not self._check_if_function_exists(hook):
self._create_new_function(hook)
else:
self._update_function(hook)
project_id = self.project_id or hook.project_id
if project_id:
CloudFunctionsDetailsLink.persist(
context=context,
task_instance=self,
location=self.location,
project_id=project_id,
function_name=self.body["name"].split("/")[-1],
)
[docs]GCF_SOURCE_ARCHIVE_URL = "sourceArchiveUrl"
[docs]GCF_SOURCE_UPLOAD_URL = "sourceUploadUrl"
[docs]SOURCE_REPOSITORY = "sourceRepository"
[docs]GCF_ZIP_PATH = "zip_path"
[docs]class ZipPathPreprocessor:
"""
Pre-processes zip path parameter.
Responsible for checking if the zip path parameter is correctly specified in
relation with source_code body fields. Non empty zip path parameter is special because
it is mutually exclusive with sourceArchiveUrl and sourceRepository body fields.
It is also mutually exclusive with non-empty sourceUploadUrl.
The pre-process modifies sourceUploadUrl body field in special way when zip_path
is not empty. An extra step is run when execute method is called and sourceUploadUrl
field value is set in the body with the value returned by generateUploadUrl Cloud
Function API method.
:param body: Body passed to the create/update method calls.
:param zip_path: (optional) Path to zip file containing source code of the function. If the path
is set, the sourceUploadUrl should not be specified in the body or it should
be empty. Then the zip file will be uploaded using the upload URL generated
via generateUploadUrl from the Cloud Functions API.
"""
[docs] upload_function: bool | None = None
def __init__(self, body: dict, zip_path: str | None = None) -> None:
self.body = body
self.zip_path = zip_path
@staticmethod
def _is_present_and_empty(dictionary, field) -> bool:
return field in dictionary and not dictionary[field]
def _verify_upload_url_and_no_zip_path(self) -> None:
if self._is_present_and_empty(self.body, GCF_SOURCE_UPLOAD_URL):
if not self.zip_path:
raise AirflowException(
"Parameter '{url}' is empty in the body and argument '{path}' "
"is missing or empty. You need to have non empty '{path}' "
"when '{url}' is present and empty.".format(url=GCF_SOURCE_UPLOAD_URL, path=GCF_ZIP_PATH)
)
def _verify_upload_url_and_zip_path(self) -> None:
if GCF_SOURCE_UPLOAD_URL in self.body and self.zip_path:
if not self.body[GCF_SOURCE_UPLOAD_URL]:
self.upload_function = True
else:
raise AirflowException(
f"Only one of '{GCF_SOURCE_UPLOAD_URL}' in body or '{GCF_ZIP_PATH}' argument allowed. "
f"Found both."
)
def _verify_archive_url_and_zip_path(self) -> None:
if GCF_SOURCE_ARCHIVE_URL in self.body and self.zip_path:
raise AirflowException(
f"Only one of '{GCF_SOURCE_ARCHIVE_URL}' in body or '{GCF_ZIP_PATH}' argument allowed. "
f"Found both."
)
[docs] def should_upload_function(self) -> bool:
"""Checks if function source should be uploaded."""
if self.upload_function is None:
raise AirflowException("validate() method has to be invoked before should_upload_function")
return self.upload_function
[docs] def preprocess_body(self) -> None:
"""Modifies sourceUploadUrl body field in special way when zip_path is not empty."""
self._verify_archive_url_and_zip_path()
self._verify_upload_url_and_zip_path()
self._verify_upload_url_and_no_zip_path()
if self.upload_function is None:
self.upload_function = False
[docs]FUNCTION_NAME_PATTERN = "^projects/[^/]+/locations/[^/]+/functions/[^/]+$"
[docs]FUNCTION_NAME_COMPILED_PATTERN = re.compile(FUNCTION_NAME_PATTERN)
[docs]class CloudFunctionDeleteFunctionOperator(GoogleCloudBaseOperator):
"""
Deletes the specified function from Google Cloud Functions.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudFunctionDeleteFunctionOperator`
:param name: A fully-qualified function name, matching
the pattern: `^projects/[^/]+/locations/[^/]+/functions/[^/]+$`
:param gcp_conn_id: The connection ID to use to connect to Google Cloud.
:param api_version: API version used (for example v1 or v1beta1).
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
# [START gcf_function_delete_template_fields]
[docs] template_fields: Sequence[str] = (
"name",
"gcp_conn_id",
"api_version",
"impersonation_chain",
)
# [END gcf_function_delete_template_fields]
def __init__(
self,
*,
name: str,
gcp_conn_id: str = "google_cloud_default",
api_version: str = "v1",
impersonation_chain: str | Sequence[str] | None = None,
project_id: str | None = None,
**kwargs,
) -> None:
self.name = name
self.project_id = project_id
self.gcp_conn_id = gcp_conn_id
self.api_version = api_version
self.impersonation_chain = impersonation_chain
self._validate_inputs()
super().__init__(**kwargs)
def _validate_inputs(self) -> None:
if not self.name:
raise AttributeError("Empty parameter: name")
else:
pattern = FUNCTION_NAME_COMPILED_PATTERN
if not pattern.match(self.name):
raise AttributeError(f"Parameter name must match pattern: {FUNCTION_NAME_PATTERN}")
[docs] def execute(self, context: Context):
hook = CloudFunctionsHook(
gcp_conn_id=self.gcp_conn_id,
api_version=self.api_version,
impersonation_chain=self.impersonation_chain,
)
try:
project_id = self.project_id or hook.project_id
if project_id:
CloudFunctionsListLink.persist(
context=context,
task_instance=self,
project_id=project_id,
)
return hook.delete_function(self.name)
except HttpError as e:
status = e.resp.status
if status == 404:
self.log.info("The function does not exist in this project")
return None
else:
self.log.error("An error occurred. Exiting.")
raise e
[docs]class CloudFunctionInvokeFunctionOperator(GoogleCloudBaseOperator):
"""
Invokes a deployed Cloud Function. To be used for testing purposes as very limited traffic is allowed.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudFunctionDeployFunctionOperator`
:param function_id: ID of the function to be called
:param input_data: Input to be passed to the function
:param location: The location where the function is located.
:param project_id: Optional, Google Cloud Project project_id where the function belongs.
If set to None or missing, the default project_id from the Google Cloud connection is used.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
:return: None
"""
[docs] template_fields: Sequence[str] = (
"function_id",
"input_data",
"location",
"project_id",
"impersonation_chain",
)
def __init__(
self,
*,
function_id: str,
input_data: dict,
location: str,
project_id: str | None = None,
gcp_conn_id: str = "google_cloud_default",
api_version: str = "v1",
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.function_id = function_id
self.input_data = input_data
self.location = location
self.project_id = project_id
self.gcp_conn_id = gcp_conn_id
self.api_version = api_version
self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context):
hook = CloudFunctionsHook(
api_version=self.api_version,
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
self.log.info("Calling function %s.", self.function_id)
result = hook.call_function(
function_id=self.function_id,
input_data=self.input_data,
location=self.location,
project_id=self.project_id,
)
self.log.info("Function called successfully. Execution id %s", result.get("executionId"))
self.xcom_push(context=context, key="execution_id", value=result.get("executionId"))
project_id = self.project_id or hook.project_id
if project_id:
CloudFunctionsDetailsLink.persist(
context=context,
task_instance=self,
location=self.location,
project_id=project_id,
function_name=self.function_id,
)
return result
