#
# 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.
"""
Databricks hook.
This hook enable the submitting and running of jobs to the Databricks platform. Internally the
operators talk to the ``api/2.0/jobs/runs/submit``
`endpoint <https://docs.databricks.com/api/latest/jobs.html#runs-submit>`_.
"""
from __future__ import annotations
import copy
import platform
import time
from asyncio.exceptions import TimeoutError
from functools import cached_property
from typing import TYPE_CHECKING, Any
from urllib.parse import urlsplit
import aiohttp
import requests
from aiohttp.client_exceptions import ClientConnectorError
from requests import PreparedRequest, exceptions as requests_exceptions
from requests.auth import AuthBase, HTTPBasicAuth
from requests.exceptions import JSONDecodeError
from tenacity import (
AsyncRetrying,
RetryError,
Retrying,
retry_if_exception,
stop_after_attempt,
wait_exponential,
)
from airflow import __version__
from airflow.exceptions import AirflowException, AirflowOptionalProviderFeatureException
from airflow.providers_manager import ProvidersManager
try:
from airflow.sdk import BaseHook
except ImportError:
from airflow.hooks.base import BaseHook as BaseHook # type: ignore
if TYPE_CHECKING:
from airflow.models import Connection
# https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/how-to-use-vm-token
[docs]
TOKEN_REFRESH_LEAD_TIME = 120
[docs]
AZURE_MANAGEMENT_ENDPOINT = "https://management.core.windows.net/"
[docs]
DEFAULT_DATABRICKS_SCOPE = "2ff814a6-3304-4ab8-85cb-cd0e6f879c1d"
[docs]
OIDC_TOKEN_SERVICE_URL = "{}/oidc/v1/token"
[docs]
DEFAULT_AZURE_CREDENTIAL_SETTING_KEY = "use_default_azure_credential"
[docs]
class BaseDatabricksHook(BaseHook):
"""
Base for interaction with Databricks.
:param databricks_conn_id: Reference to the :ref:`Databricks connection <howto/connection:databricks>`.
:param timeout_seconds: The amount of time in seconds the requests library
will wait before timing-out.
:param retry_limit: The number of times to retry the connection in case of
service outages.
:param retry_delay: The number of seconds to wait between retries (it
might be a floating point number).
:param retry_args: An optional dictionary with arguments passed to ``tenacity.Retrying`` class.
:param caller: The name of the operator that is calling the hook.
"""
[docs]
conn_name_attr: str = "databricks_conn_id"
[docs]
default_conn_name = "databricks_default"
[docs]
conn_type = "databricks"
def __init__(
self,
databricks_conn_id: str = default_conn_name,
timeout_seconds: int = 180,
retry_limit: int = 3,
retry_delay: float = 1.0,
retry_args: dict[Any, Any] | None = None,
caller: str = "Unknown",
) -> None:
super().__init__()
[docs]
self.databricks_conn_id = databricks_conn_id
[docs]
self.timeout_seconds = timeout_seconds
if retry_limit < 1:
raise ValueError("Retry limit must be greater than or equal to 1")
[docs]
self.retry_limit = retry_limit
[docs]
self.retry_delay = retry_delay
[docs]
self.oauth_tokens: dict[str, dict] = {}
[docs]
self.token_timeout_seconds = 10
self._metadata_cache: dict[str, Any] = {}
self._metadata_expiry: float = 0
self._metadata_ttl: int = 300
def my_after_func(retry_state):
self._log_request_error(retry_state.attempt_number, retry_state.outcome)
if retry_args:
self.retry_args = copy.copy(retry_args)
self.retry_args["retry"] = retry_if_exception(self._retryable_error)
self.retry_args["after"] = my_after_func
else:
self.retry_args = {
"stop": stop_after_attempt(self.retry_limit),
"wait": wait_exponential(min=self.retry_delay, max=(2**retry_limit)),
"retry": retry_if_exception(self._retryable_error),
"after": my_after_func,
}
@cached_property
[docs]
def databricks_conn(self) -> Connection:
return self.get_connection(self.databricks_conn_id) # type: ignore[return-value]
[docs]
def get_conn(self) -> Connection:
return self.databricks_conn
@cached_property
@cached_property
[docs]
def user_agent_value(self) -> str:
manager = ProvidersManager()
package_name = manager.hooks[BaseDatabricksHook.conn_type].package_name # type: ignore[union-attr]
provider = manager.providers[package_name]
version = provider.version
python_version = platform.python_version()
system = platform.system().lower()
ua_string = (
f"databricks-airflow/{version} _/0.0.0 python/{python_version} os/{system} "
f"airflow/{__version__} operator/{self.caller}"
)
return ua_string
@cached_property
[docs]
def host(self) -> str:
if "host" in self.databricks_conn.extra_dejson:
host = self._parse_host(self.databricks_conn.extra_dejson["host"])
else:
host = self._parse_host(self.databricks_conn.host)
return host
[docs]
async def __aenter__(self):
self._session = aiohttp.ClientSession()
return self
[docs]
async def __aexit__(self, *err):
await self._session.close()
self._session = None
@staticmethod
def _parse_host(host: str) -> str:
"""
Parse host field data; this function is resistant to incorrect connection settings provided by users.
For example -- when users supply ``https://xx.cloud.databricks.com`` as the
host, we must strip out the protocol to get the host.::
h = DatabricksHook()
assert h._parse_host('https://xx.cloud.databricks.com') == \
'xx.cloud.databricks.com'
In the case where users supply the correct ``xx.cloud.databricks.com`` as the
host, this function is a no-op.::
assert h._parse_host('xx.cloud.databricks.com') == 'xx.cloud.databricks.com'
"""
urlparse_host = urlsplit(host).hostname
if urlparse_host:
# In this case, host = https://xx.cloud.databricks.com
return urlparse_host
# In this case, host = xx.cloud.databricks.com
return host
def _get_retry_object(self) -> Retrying:
"""
Instantiate a retry object.
:return: instance of Retrying class
"""
return Retrying(**self.retry_args)
def _a_get_retry_object(self) -> AsyncRetrying:
"""
Instantiate an async retry object.
:return: instance of AsyncRetrying class
"""
return AsyncRetrying(**self.retry_args)
def _get_sp_token(self, resource: str) -> str:
"""Get Service Principal token."""
sp_token = self.oauth_tokens.get(resource)
if sp_token and self._is_oauth_token_valid(sp_token):
return sp_token["access_token"]
self.log.info("Existing Service Principal token is expired, or going to expire soon. Refreshing...")
try:
for attempt in self._get_retry_object():
with attempt:
resp = requests.post(
resource,
auth=HTTPBasicAuth(self.databricks_conn.login, self.databricks_conn.password),
data="grant_type=client_credentials&scope=all-apis",
headers={
**self.user_agent_header,
"Content-Type": "application/x-www-form-urlencoded",
},
timeout=self.token_timeout_seconds,
)
resp.raise_for_status()
jsn = resp.json()
jsn["expires_on"] = int(time.time() + jsn["expires_in"])
self._is_oauth_token_valid(jsn)
self.oauth_tokens[resource] = jsn
break
except RetryError:
raise AirflowException(f"API requests to Databricks failed {self.retry_limit} times. Giving up.")
except requests_exceptions.HTTPError as e:
msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
raise AirflowException(msg)
return jsn["access_token"]
async def _a_get_sp_token(self, resource: str) -> str:
"""Async version of `_get_sp_token()`."""
sp_token = self.oauth_tokens.get(resource)
if sp_token and self._is_oauth_token_valid(sp_token):
return sp_token["access_token"]
self.log.info("Existing Service Principal token is expired, or going to expire soon. Refreshing...")
try:
async for attempt in self._a_get_retry_object():
with attempt:
async with self._session.post(
resource,
auth=aiohttp.BasicAuth(self.databricks_conn.login, self.databricks_conn.password),
data="grant_type=client_credentials&scope=all-apis",
headers={
**self.user_agent_header,
"Content-Type": "application/x-www-form-urlencoded",
},
timeout=self.token_timeout_seconds,
) as resp:
resp.raise_for_status()
jsn = await resp.json()
jsn["expires_on"] = int(time.time() + jsn["expires_in"])
self._is_oauth_token_valid(jsn)
self.oauth_tokens[resource] = jsn
break
except RetryError:
raise AirflowException(f"API requests to Databricks failed {self.retry_limit} times. Giving up.")
except requests_exceptions.HTTPError as e:
msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
raise AirflowException(msg)
return jsn["access_token"]
def _get_aad_token(self, resource: str) -> str:
"""
Get AAD token for given resource.
Supports managed identity or service principal auth.
:param resource: resource to issue token to
:return: AAD token, or raise an exception
"""
aad_token = self.oauth_tokens.get(resource)
if aad_token and self._is_oauth_token_valid(aad_token):
return aad_token["access_token"]
self.log.info("Existing AAD token is expired, or going to expire soon. Refreshing...")
try:
from azure.identity import ClientSecretCredential, ManagedIdentityCredential
for attempt in self._get_retry_object():
with attempt:
if self.databricks_conn.extra_dejson.get("use_azure_managed_identity", False):
token = ManagedIdentityCredential().get_token(f"{resource}/.default")
else:
credential = ClientSecretCredential(
client_id=self.databricks_conn.login,
client_secret=self.databricks_conn.password,
tenant_id=self.databricks_conn.extra_dejson["azure_tenant_id"],
)
token = credential.get_token(f"{resource}/.default")
jsn = {
"access_token": token.token,
"token_type": "Bearer",
"expires_on": token.expires_on,
}
self._is_oauth_token_valid(jsn)
self.oauth_tokens[resource] = jsn
break
except ImportError as e:
raise AirflowOptionalProviderFeatureException(e)
except RetryError:
raise AirflowException(f"API requests to Azure failed {self.retry_limit} times. Giving up.")
except requests_exceptions.HTTPError as e:
msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
raise AirflowException(msg)
return jsn["access_token"]
async def _a_get_aad_token(self, resource: str) -> str:
"""
Async version of `_get_aad_token()`.
:param resource: resource to issue token to
:return: AAD token, or raise an exception
"""
aad_token = self.oauth_tokens.get(resource)
if aad_token and self._is_oauth_token_valid(aad_token):
return aad_token["access_token"]
self.log.info("Existing AAD token is expired, or going to expire soon. Refreshing...")
try:
from azure.identity.aio import (
ClientSecretCredential as AsyncClientSecretCredential,
ManagedIdentityCredential as AsyncManagedIdentityCredential,
)
async for attempt in self._a_get_retry_object():
with attempt:
if self.databricks_conn.extra_dejson.get("use_azure_managed_identity", False):
async with AsyncManagedIdentityCredential() as credential:
token = await credential.get_token(f"{resource}/.default")
else:
async with AsyncClientSecretCredential(
client_id=self.databricks_conn.login,
client_secret=self.databricks_conn.password,
tenant_id=self.databricks_conn.extra_dejson["azure_tenant_id"],
) as credential:
token = await credential.get_token(f"{resource}/.default")
jsn = {
"access_token": token.token,
"token_type": "Bearer",
"expires_on": token.expires_on,
}
self._is_oauth_token_valid(jsn)
self.oauth_tokens[resource] = jsn
break
except ImportError as e:
raise AirflowOptionalProviderFeatureException(e)
except RetryError:
raise AirflowException(f"API requests to Azure failed {self.retry_limit} times. Giving up.")
except aiohttp.ClientResponseError as err:
raise AirflowException(f"Response: {err.message}, Status Code: {err.status}")
return jsn["access_token"]
def _get_aad_token_for_default_az_credential(self, resource: str) -> str:
"""
Get AAD token for given resource for workload identity.
Supports managed identity or service principal auth.
:param resource: resource to issue token to
:return: AAD token, or raise an exception
"""
aad_token = self.oauth_tokens.get(resource)
if aad_token and self._is_oauth_token_valid(aad_token):
return aad_token["access_token"]
self.log.info("Existing AAD token is expired, or going to expire soon. Refreshing...")
try:
from azure.identity import DefaultAzureCredential
for attempt in self._get_retry_object():
with attempt:
# This only works in an Azure Kubernetes Service Cluster given the following environment variables:
# AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_FEDERATED_TOKEN_FILE
#
# While there is a WorkloadIdentityCredential class, the below class is advised by Microsoft
# https://learn.microsoft.com/en-us/azure/aks/workload-identity-overview
token = DefaultAzureCredential().get_token(f"{resource}/.default")
jsn = {
"access_token": token.token,
"token_type": "Bearer",
"expires_on": token.expires_on,
}
self._is_oauth_token_valid(jsn)
self.oauth_tokens[resource] = jsn
break
except ImportError as e:
raise AirflowOptionalProviderFeatureException(e)
except RetryError:
raise AirflowException(f"API requests to Azure failed {self.retry_limit} times. Giving up.")
except requests_exceptions.HTTPError as e:
msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
raise AirflowException(msg)
return token.token
async def _a_get_aad_token_for_default_az_credential(self, resource: str) -> str:
"""
Get AAD token for given resource for workload identity.
Supports managed identity or service principal auth.
:param resource: resource to issue token to
:return: AAD token, or raise an exception
"""
aad_token = self.oauth_tokens.get(resource)
if aad_token and self._is_oauth_token_valid(aad_token):
return aad_token["access_token"]
self.log.info("Existing AAD token is expired, or going to expire soon. Refreshing...")
try:
from azure.identity.aio import (
DefaultAzureCredential as AsyncDefaultAzureCredential,
)
for attempt in self._get_retry_object():
with attempt:
# This only works in an Azure Kubernetes Service Cluster given the following environment variables:
# AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_FEDERATED_TOKEN_FILE
#
# While there is a WorkloadIdentityCredential class, the below class is advised by Microsoft
# https://learn.microsoft.com/en-us/azure/aks/workload-identity-overview
token = await AsyncDefaultAzureCredential().get_token(f"{resource}/.default")
jsn = {
"access_token": token.token,
"token_type": "Bearer",
"expires_on": token.expires_on,
}
self._is_oauth_token_valid(jsn)
self.oauth_tokens[resource] = jsn
break
except ImportError as e:
raise AirflowOptionalProviderFeatureException(e)
except RetryError:
raise AirflowException(f"API requests to Azure failed {self.retry_limit} times. Giving up.")
except requests_exceptions.HTTPError as e:
msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
raise AirflowException(msg)
return token.token
def _get_aad_headers(self) -> dict:
"""
Fill AAD headers if necessary (SPN is outside of the workspace).
:return: dictionary with filled AAD headers
"""
headers = {}
if "azure_resource_id" in self.databricks_conn.extra_dejson:
mgmt_token = self._get_aad_token(AZURE_MANAGEMENT_ENDPOINT)
headers["X-Databricks-Azure-Workspace-Resource-Id"] = self.databricks_conn.extra_dejson[
"azure_resource_id"
]
headers["X-Databricks-Azure-SP-Management-Token"] = mgmt_token
return headers
async def _a_get_aad_headers(self) -> dict:
"""
Async version of `_get_aad_headers()`.
:return: dictionary with filled AAD headers
"""
headers = {}
if "azure_resource_id" in self.databricks_conn.extra_dejson:
mgmt_token = await self._a_get_aad_token(AZURE_MANAGEMENT_ENDPOINT)
headers["X-Databricks-Azure-Workspace-Resource-Id"] = self.databricks_conn.extra_dejson[
"azure_resource_id"
]
headers["X-Databricks-Azure-SP-Management-Token"] = mgmt_token
return headers
@staticmethod
def _is_oauth_token_valid(token: dict, time_key="expires_on") -> bool:
"""
Check if an OAuth token is valid and hasn't expired yet.
:param sp_token: dict with properties of OAuth token
:param time_key: name of the key that holds the time of expiration
:return: true if token is valid, false otherwise
"""
if "access_token" not in token or token.get("token_type", "") != "Bearer" or time_key not in token:
raise AirflowException(f"Can't get necessary data from OAuth token: {token}")
return int(token[time_key]) > (int(time.time()) + TOKEN_REFRESH_LEAD_TIME)
def _check_azure_metadata_service(self) -> None:
"""
Check for Azure Metadata Service (with caching).
https://docs.microsoft.com/en-us/azure/virtual-machines/linux/instance-metadata-service
"""
if self._metadata_cache and time.time() < self._metadata_expiry:
return
try:
for attempt in self._get_retry_object():
with attempt:
response = requests.get(
AZURE_METADATA_SERVICE_INSTANCE_URL,
params={"api-version": "2021-02-01"},
headers={"Metadata": "true"},
timeout=2,
)
response.raise_for_status()
response_json = response.json()
self._validate_azure_metadata_service(response_json)
self._metadata_cache = response_json
self._metadata_expiry = time.time() + self._metadata_ttl
break
except RetryError:
raise ConnectionError(f"Failed to reach Azure Metadata Service after {self.retry_limit} retries.")
except (requests_exceptions.RequestException, ValueError) as e:
raise ConnectionError(f"Can't reach Azure Metadata Service: {e}")
async def _a_check_azure_metadata_service(self):
"""Async version of `_check_azure_metadata_service()`."""
if self._metadata_cache and time.time() < self._metadata_expiry:
return
try:
async for attempt in self._a_get_retry_object():
with attempt:
async with self._session.get(
url=AZURE_METADATA_SERVICE_INSTANCE_URL,
params={"api-version": "2021-02-01"},
headers={"Metadata": "true"},
timeout=2,
) as resp:
resp.raise_for_status()
response_json = await resp.json()
self._validate_azure_metadata_service(response_json)
self._metadata_cache = response_json
self._metadata_expiry = time.time() + self._metadata_ttl
break
except RetryError:
raise ConnectionError(f"Failed to reach Azure Metadata Service after {self.retry_limit} retries.")
except (aiohttp.ClientError, ValueError) as e:
raise ConnectionError(f"Can't reach Azure Metadata Service: {e}")
def _validate_azure_metadata_service(self, response_json: dict) -> None:
if "compute" not in response_json or "azEnvironment" not in response_json["compute"]:
raise ValueError(
f"Was able to fetch some metadata, but it doesn't look like Azure Metadata: {response_json}"
)
def _get_token(self, raise_error: bool = False) -> str | None:
if "token" in self.databricks_conn.extra_dejson:
self.log.info(
"Using token auth. For security reasons, please set token in Password field instead of extra"
)
return self.databricks_conn.extra_dejson["token"]
if not self.databricks_conn.login and self.databricks_conn.password:
self.log.debug("Using token auth.")
return self.databricks_conn.password
if "azure_tenant_id" in self.databricks_conn.extra_dejson:
if self.databricks_conn.login == "" or self.databricks_conn.password == "":
raise AirflowException("Azure SPN credentials aren't provided")
self.log.debug("Using AAD Token for SPN.")
return self._get_aad_token(DEFAULT_DATABRICKS_SCOPE)
if self.databricks_conn.extra_dejson.get("use_azure_managed_identity", False):
self.log.debug("Using AAD Token for managed identity.")
self._check_azure_metadata_service()
return self._get_aad_token(DEFAULT_DATABRICKS_SCOPE)
if self.databricks_conn.extra_dejson.get(DEFAULT_AZURE_CREDENTIAL_SETTING_KEY, False):
self.log.debug("Using default Azure Credential authentication.")
return self._get_aad_token_for_default_az_credential(DEFAULT_DATABRICKS_SCOPE)
if self.databricks_conn.extra_dejson.get("service_principal_oauth", False):
if self.databricks_conn.login == "" or self.databricks_conn.password == "":
raise AirflowException("Service Principal credentials aren't provided")
self.log.debug("Using Service Principal Token.")
return self._get_sp_token(OIDC_TOKEN_SERVICE_URL.format(self.databricks_conn.host))
if raise_error:
raise AirflowException("Token authentication isn't configured")
return None
async def _a_get_token(self, raise_error: bool = False) -> str | None:
if "token" in self.databricks_conn.extra_dejson:
self.log.info(
"Using token auth. For security reasons, please set token in Password field instead of extra"
)
return self.databricks_conn.extra_dejson["token"]
if not self.databricks_conn.login and self.databricks_conn.password:
self.log.debug("Using token auth.")
return self.databricks_conn.password
if "azure_tenant_id" in self.databricks_conn.extra_dejson:
if self.databricks_conn.login == "" or self.databricks_conn.password == "":
raise AirflowException("Azure SPN credentials aren't provided")
self.log.debug("Using AAD Token for SPN.")
return await self._a_get_aad_token(DEFAULT_DATABRICKS_SCOPE)
if self.databricks_conn.extra_dejson.get("use_azure_managed_identity", False):
self.log.debug("Using AAD Token for managed identity.")
await self._a_check_azure_metadata_service()
return await self._a_get_aad_token(DEFAULT_DATABRICKS_SCOPE)
if self.databricks_conn.extra_dejson.get(DEFAULT_AZURE_CREDENTIAL_SETTING_KEY, False):
self.log.debug("Using AzureDefaultCredential for authentication.")
return await self._a_get_aad_token_for_default_az_credential(DEFAULT_DATABRICKS_SCOPE)
if self.databricks_conn.extra_dejson.get("service_principal_oauth", False):
if self.databricks_conn.login == "" or self.databricks_conn.password == "":
raise AirflowException("Service Principal credentials aren't provided")
self.log.debug("Using Service Principal Token.")
return await self._a_get_sp_token(OIDC_TOKEN_SERVICE_URL.format(self.databricks_conn.host))
if raise_error:
raise AirflowException("Token authentication isn't configured")
return None
def _log_request_error(self, attempt_num: int, error: str) -> None:
self.log.error("Attempt %s API Request to Databricks failed with reason: %s", attempt_num, error)
def _endpoint_url(self, endpoint):
port = f":{self.databricks_conn.port}" if self.databricks_conn.port else ""
schema = self.databricks_conn.schema or "https"
return f"{schema}://{self.host}{port}/{endpoint}"
def _do_api_call(
self,
endpoint_info: tuple[str, str],
json: dict[str, Any] | None = None,
wrap_http_errors: bool = True,
):
"""
Perform an API call with retries.
:param endpoint_info: Tuple of method and endpoint
:param json: Parameters for this API call.
:return: If the api call returns a OK status code,
this function returns the response in JSON. Otherwise,
we throw an AirflowException.
"""
method, endpoint = endpoint_info
# Automatically prepend 'api/' prefix to all endpoint paths
full_endpoint = f"api/{endpoint}"
url = self._endpoint_url(full_endpoint)
aad_headers = self._get_aad_headers()
headers = {**self.user_agent_header, **aad_headers}
auth: AuthBase
token = self._get_token()
if token:
auth = _TokenAuth(token)
else:
self.log.info("Using basic auth.")
auth = HTTPBasicAuth(self.databricks_conn.login, self.databricks_conn.password)
request_func: Any
if method == "GET":
request_func = requests.get
elif method == "POST":
request_func = requests.post
elif method == "PATCH":
request_func = requests.patch
elif method == "DELETE":
request_func = requests.delete
else:
raise AirflowException("Unexpected HTTP Method: " + method)
try:
for attempt in self._get_retry_object():
with attempt:
self.log.debug(
"Initiating %s request to %s with payload: %s, headers: %s",
method,
url,
json,
headers,
)
response = request_func(
url,
json=json if method in ("POST", "PATCH") else None,
params=json if method == "GET" else None,
auth=auth,
headers=headers,
timeout=self.timeout_seconds,
)
self.log.debug("Response Status Code: %s", response.status_code)
self.log.debug("Response text: %s", response.text)
response.raise_for_status()
return response.json()
except RetryError:
raise AirflowException(f"API requests to Databricks failed {self.retry_limit} times. Giving up.")
except requests_exceptions.HTTPError as e:
if wrap_http_errors:
msg = f"Response: {e.response.content.decode()}, Status Code: {e.response.status_code}"
raise AirflowException(msg)
raise
async def _a_do_api_call(self, endpoint_info: tuple[str, str], json: dict[str, Any] | None = None):
"""
Async version of `_do_api_call()`.
:param endpoint_info: Tuple of method and endpoint
:param json: Parameters for this API call.
:return: If the api call returns a OK status code,
this function returns the response in JSON. Otherwise, throw an AirflowException.
"""
method, endpoint = endpoint_info
full_endpoint = f"api/{endpoint}"
url = self._endpoint_url(full_endpoint)
aad_headers = await self._a_get_aad_headers()
headers = {**self.user_agent_header, **aad_headers}
auth: aiohttp.BasicAuth
token = await self._a_get_token()
if token:
auth = BearerAuth(token)
else:
self.log.info("Using basic auth.")
auth = aiohttp.BasicAuth(self.databricks_conn.login, self.databricks_conn.password)
request_func: Any
if method == "GET":
request_func = self._session.get
elif method == "POST":
request_func = self._session.post
elif method == "PATCH":
request_func = self._session.patch
else:
raise AirflowException("Unexpected HTTP Method: " + method)
try:
async for attempt in self._a_get_retry_object():
with attempt:
self.log.debug(
"Initiating %s request to %s with payload: %s, headers: %s",
method,
url,
json,
headers,
)
async with request_func(
url,
json=json,
auth=auth,
headers={**headers, **self.user_agent_header},
timeout=self.timeout_seconds,
) as response:
self.log.debug("Response Status Code: %s", response.status)
self.log.debug("Response text: %s", response.text)
response.raise_for_status()
return await response.json()
except RetryError:
raise AirflowException(f"API requests to Databricks failed {self.retry_limit} times. Giving up.")
except aiohttp.ClientResponseError as err:
raise AirflowException(f"Response: {err.message}, Status Code: {err.status}")
@staticmethod
def _get_error_code(exception: BaseException) -> str:
if isinstance(exception, requests_exceptions.HTTPError):
try:
jsn = exception.response.json()
return jsn.get("error_code", "")
except JSONDecodeError:
pass
return ""
@staticmethod
def _retryable_error(exception: BaseException) -> bool:
if isinstance(exception, requests_exceptions.RequestException):
if isinstance(exception, (requests_exceptions.ConnectionError, requests_exceptions.Timeout)) or (
exception.response is not None
and (
exception.response.status_code >= 500
or exception.response.status_code == 429
or (
exception.response.status_code == 400
and BaseDatabricksHook._get_error_code(exception) == "COULD_NOT_ACQUIRE_LOCK"
)
)
):
return True
if isinstance(exception, aiohttp.ClientResponseError):
if exception.status >= 500 or exception.status == 429:
return True
if isinstance(exception, (ClientConnectorError, TimeoutError)):
return True
return False
class _TokenAuth(AuthBase):
"""
Helper class for requests Auth field.
AuthBase requires you to implement the ``__call__``
magic function.
"""
def __init__(self, token: str) -> None:
self.token = token
def __call__(self, r: PreparedRequest) -> PreparedRequest:
r.headers["Authorization"] = "Bearer " + self.token
return r
[docs]
class BearerAuth(aiohttp.BasicAuth):
"""aiohttp only ships BasicAuth, for Bearer auth we need a subclass of BasicAuth."""
def __new__(cls, token: str) -> BearerAuth:
return super().__new__(cls, token) # type: ignore
def __init__(self, token: str) -> None:
[docs]
def encode(self) -> str:
return f"Bearer {self.token}"