我在(dlkpipelinesv1:composer-1.13.0-airflow-1.10.12)环境上创建并运行了一个google-cloud-composer环境。我能够手动触发这些dags,并使用调度程序,但当涉及到通过cloud-functions检测google-cloud-storage桶中的更改时,我会陷入困境。
请注意,我有另一个GC-Composer环境(pipelines:composer-1.7.5-airflow-1.10.2),它使用相同的google云功能来触发相关的dags,而则在运行。
我遵循本指南来创建触发dags的函数。因此,我检索了以下变量:
PROJECT_ID = <project_id>
CLIENT_ID = <client_id_retrieved_by_running_the_code_in_the_guide_within_my_gcp_console>
WEBSERVER_ID = <airflow_webserver_id>
DAG_NAME = <dag_to_trigger>
WEBSERVER_URL = f"https://{WEBSERVER_ID}.appspot.com/api/experimental/dags/{DAG_NAME}/dag_runs"
def file_listener(event, context):
"""Entry point of the cloud function: Triggered by a change to a Cloud Storage bucket.
Args:
event (dict): Event payload.
context (google.cloud.functions.Context): Metadata for the event.
"""
logging.info("Running the file listener process")
logging.info(f"event : {event}")
logging.info(f"context : {context}")
file = event
if file["size"] == "0" or "DTM_DATALAKE_AUDIT_COMPTAGE" not in file["name"] or ".filepart" in file["name"].lower():
logging.info("no matching file")
exit(0)
logging.info(f"File listener detected the presence of : {file['name']}.")
# id_token = authorize_iap()
# make_iap_request({"file_name": file["name"]}, id_token)
make_iap_request(url=WEBSERVER_URL, client_id=CLIENT_ID, method="POST")
def make_iap_request(url, client_id, method="GET", **kwargs):
"""Makes a request to an application protected by Identity-Aware Proxy.
Args:
url: The Identity-Aware Proxy-protected URL to fetch.
client_id: The client ID used by Identity-Aware Proxy.
method: The request method to use
('GET', 'OPTIONS', 'HEAD', 'POST', 'PUT', 'PATCH', 'DELETE')
**kwargs: Any of the parameters defined for the request function:
https://github.com/requests/requests/blob/master/requests/api.py
If no timeout is provided, it is set to 90 by default.
Returns:
The page body, or raises an exception if the page couldn't be retrieved.
"""
# Set the default timeout, if missing
if "timeout" not in kwargs:
kwargs["timeout"] = 90
# Obtain an OpenID Connect (OIDC) token from metadata server or using service account.
open_id_connect_token = id_token.fetch_id_token(Request(), client_id)
logging.info(f"Retrieved open id connect (bearer) token {open_id_connect_token}")
# Fetch the Identity-Aware Proxy-protected URL, including an authorization header containing "Bearer " followed by a
# Google-issued OpenID Connect token for the service account.
resp = requests.request(method, url, headers={"Authorization": f"Bearer {open_id_connect_token}"}, **kwargs)
if resp.status_code == 403:
raise Exception("Service account does not have permission to access the IAP-protected application.")
elif resp.status_code != 200:
raise Exception(f"Bad response from application: {resp.status_code} / {resp.headers} / {resp.text}")
else:
logging.info(f"Response status - {resp.status_code}")
return resp.json这是在GC-函数中运行的代码,我使用以下代码分别检查了dlkpipelinesv1和样条中的环境细节:
credentials, _ = google.auth.default(
scopes=['https://www.googleapis.com/auth/cloud-platform'])
authed_session = google.auth.transport.requests.AuthorizedSession(
credentials)
# project_id = 'YOUR_PROJECT_ID'
# location = 'us-central1'
# composer_environment = 'YOUR_COMPOSER_ENVIRONMENT_NAME'
environment_url = (
'https://composer.googleapis.com/v1beta1/projects/{}/locations/{}'
'/environments/{}').format(project_id, location, composer_environment)
composer_response = authed_session.request('GET', environment_url)
environment_data = composer_response.json()两者使用相同的服务帐户来运行,即相同的IAM角色。虽然我注意到了以下不同的细节:
在旧环境中:
"airflowUri": "https://p5<hidden_value>-tp.appspot.com",
"privateEnvironmentConfig": { "privateClusterConfig": {} },在新的环境中:
"airflowUri": "https://da<hidden_value>-tp.appspot.com",
"privateEnvironmentConfig": {
"privateClusterConfig": {},
"webServerIpv4CidrBlock": "<hidden_value>",
"cloudSqlIpv4CidrBlock": "<hidden_value>"
}用于发出post请求的服务帐户具有以下角色:
Cloud Functions Service Agent
Composer Administrator
Composer User
Service Account Token Creator
Service Account User运行my环境的服务帐户具有以下角色:
BigQuery Admin
Composer Worker
Service Account Token Creator
Storage Object Admin但是,当向气流API发出403 - Forbidden请求时,我仍然在Log Explorer中接收post。
编辑2020-11-16:
我更新了最新的make_iap_request代码。我在安全服务中修改了IAP,但是我找不到将接受来自云功能的HTTP: post请求的IAP服务器.请参见下面的图像,无论如何,我将服务帐户添加到默认和CRM IAP资源中,以防万一,但我仍然会收到以下错误:
Exception: Service account does not have permission to access the IAP-protected application.主要的问题是: IAP在这里有什么利害关系?以及如何将我的服务帐户添加为此IAP的用户。
我遗漏了什么?

发布于 2020-12-01 11:12:35
有一个配置参数会导致对API的所有请求都被拒绝.
在文档中,我们需要覆盖以下气流配置:
[api]
auth_backend = airflow.api.auth.backend.deny_all转到
[api]
auth_backend = airflow.api.auth.backend.default这个细节是非常重要的,而且谷歌的文档中没有提到.
有用的链接:
发布于 2020-11-16 02:25:20
抛出403的代码就是它过去的工作方式。在2020年中期发生了巨大的变化。与其使用requests对令牌进行HTTP调用,不如使用谷歌的OAuth2库
from google.oauth2 import id_token
from google.auth.transport.requests import Request
open_id_connect_token = id_token.fetch_id_token(Request(), client_id)请参阅这个例子
发布于 2020-11-18 18:20:09
我遵循了触发DAGs中的步骤,并在我的env中工作过,请参阅下面的建议。
Componser环境的启动和运行是一个很好的开始。通过这个过程,您只需要上传新的DAG (trigger_response_dag.py),并在第一次打开气流UI时使用python脚本或从登录页面获取clientID (以.apps.googleusercontent.com结束)。
在Cloud方面,我注意到Node.js和Python的指令组合在一起,例如,USER_AGENT只适用于Node.js。而常规的make_iap_request只适用于python。我希望以下几点有助于解决你的问题:
${projectId}@appspot.gserviceaccount.com,其默认角色是Editor,这意味着它可以广泛访问GCP服务,包括Composer。在python中,我认为身份验证是由client_id管理的,因为令牌是用id检索的。请确保SA具有此编辑器角色,并且不要忘记指定指南中指定的serviceAccountTokenCreator。USER_AGENT = 'gcf-event-trigger'。在python中,这似乎不是必要的。Archive,需要将其更改为Finalize/Create。如果设置为Archive,则当您上传对象时,触发器将无法工作,DAG也不会启动。基本上,根据指南,我只需在Node.js中更改以下值:
// The project that holds your function. Replace <YOUR-PROJECT-ID>
const PROJECT_ID = '<YOUR-PROJECT-ID>';
// Navigate to your webserver's login page and get this from the URL
const CLIENT_ID = '<ALPHANUMERIC>.apps.googleusercontent.com';
// This should be part of your webserver's URL in the Env's detail page: {tenant-project-id}.appspot.com.
const WEBSERVER_ID = 'v90eaaaa11113fp-tp';
// The name of the DAG you wish to trigger. It's DAG's name in the script trigger_response_dag.py you uploaded to your Env.
const DAG_NAME = 'composer_sample_trigger_response_dag';对于Python,我只更改了这些参数:
client_id = '<ALPHANUMERIC>.apps.googleusercontent.com'
# This should be part of your webserver's URL:
# {tenant-project-id}.appspot.com
webserver_id = 'v90eaaaa11113fp-tp'
# Change dag_name only if you are not using the example
dag_name = 'composer_sample_trigger_response_dag'https://stackoverflow.com/questions/64847488
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