Apache Airflow Python Client

Overview

To facilitate management, Apache Airflow supports a range of REST API endpoints across its objects. This section provides an overview of the API design, methods, and supported use cases.

Most of the endpoints accept JSON as input and return JSON responses. This means that you must usually add the following headers to your request:

Content-type: application/json
Accept: application/json

Resources

The term resource refers to a single type of object in the Airflow metadata. An API is broken up by its endpoint's corresponding resource. The name of a resource is typically plural and expressed in camelCase. Example: dagRuns.

Resource names are used as part of endpoint URLs, as well as in API parameters and responses.

CRUD Operations

The platform supports Create, Read, Update, and Delete operations on most resources. You can review the standards for these operations and their standard parameters below.

Some endpoints have special behavior as exceptions.

Create

To create a resource, you typically submit an HTTP POST request with the resource's required metadata in the request body. The response returns a 201 Created response code upon success with the resource's metadata, including its internal id, in the response body.

Read

The HTTP GET request can be used to read a resource or to list a number of resources.

A resource's id can be submitted in the request parameters to read a specific resource. The response usually returns a 200 OK response code upon success, with the resource's metadata in the response body.

If a GET request does not include a specific resource id, it is treated as a list request. The response usually returns a 200 OK response code upon success, with an object containing a list of resources' metadata in the response body.

When reading resources, some common query parameters are usually available. e.g.:

/api/v2/connections?limit=25&offset=25

Query Parameter	Type	Description
limit	integer	Maximum number of objects to fetch. Usually 25 by default
offset	integer	Offset after which to start returning objects. For use with limit query parameter.

Update

Updating a resource requires the resource id, and is typically done using an HTTP PATCH request, with the fields to modify in the request body. The response usually returns a 200 OK response code upon success, with information about the modified resource in the response body.

Delete

Deleting a resource requires the resource id and is typically executing via an HTTP DELETE request. The response usually returns a 204 No Content response code upon success.

Conventions

• Resource names are plural and expressed in camelCase.

• Names are consistent between URL parameter name and field name.

• Field names are in snake_case.

{
    \"name\": \"string\",
    \"slots\": 0,
    \"occupied_slots\": 0,
    \"used_slots\": 0,
    \"queued_slots\": 0,
    \"open_slots\": 0
}

Update Mask

Update mask is available as a query parameter in patch endpoints. It is used to notify the API which fields you want to update. Using update_mask makes it easier to update objects by helping the server know which fields to update in an object instead of updating all fields. The update request ignores any fields that aren't specified in the field mask, leaving them with their current values.

Example:

import requests

resource = requests.get("/resource/my-id").json()
resource["my_field"] = "new-value"
requests.patch("/resource/my-id?update_mask=my_field", data=json.dumps(resource))

Versioning and Endpoint Lifecycle

• API versioning is not synchronized to specific releases of the Apache Airflow.
• APIs are designed to be backward compatible.
• Any changes to the API will first go through a deprecation phase.

Trying the API

You can use a third party client, such as curl, HTTPie, Postman or the Insomnia rest client to test the Apache Airflow API.

Note that you will need to pass authentication credentials. If your Airflow deployment supports Bearer token authentication, you can use the following example:

For example, here is how to pause a DAG with curl, using a Bearer token:

curl -X PATCH 'https://example.com/api/v2/dags/{dag_id}?update_mask=is_paused' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_ACCESS_TOKEN' \
  -d '{
      \"is_paused\": true
  }'

Using a graphical tool such as Postman or Insomnia, it is possible to import the API specifications directly:

1. Download the API specification by clicking the Download button at top of this document.
2. Import the JSON specification in the graphical tool of your choice.

• In Postman, you can click the import button at the top
• With Insomnia, you can just drag-and-drop the file on the UI

Note that with Postman, you can also generate code snippets by selecting a request and clicking on the Code button.

Enabling CORS

Cross-origin resource sharing (CORS) is a browser security feature that restricts HTTP requests that are initiated from scripts running in the browser.

For details on enabling/configuring CORS, see Enabling CORS.

Authentication

To be able to meet the requirements of many organizations, Airflow supports many authentication methods, and it is even possible to add your own method.

If you want to check which auth backend is currently set, you can use airflow config get-value api auth_backends command as in the example below.

$ airflow config get-value api auth_backends
airflow.providers.fab.auth_manager.api.auth.backend.basic_auth

The default is to deny all requests.

For details on configuring the authentication, see API Authorization.

Errors

We follow the error response format proposed in RFC 7807 also known as Problem Details for HTTP APIs. As with our normal API responses, your client must be prepared to gracefully handle additional members of the response.

Unauthenticated

This indicates that the request has not been applied because it lacks valid authentication credentials for the target resource. Please check that you have valid credentials.

PermissionDenied

This response means that the server understood the request but refuses to authorize it because it lacks sufficient rights to the resource. It happens when you do not have the necessary permission to execute the action you performed. You need to get the appropriate permissions in other to resolve this error.

BadRequest

This response means that the server cannot or will not process the request due to something that is perceived to be a client error (e.g., malformed request syntax, invalid request message framing, or deceptive request routing). To resolve this, please ensure that your syntax is correct.

NotFound

This client error response indicates that the server cannot find the requested resource.

MethodNotAllowed

Indicates that the request method is known by the server but is not supported by the target resource.

NotAcceptable

The target resource does not have a current representation that would be acceptable to the user agent, according to the proactive negotiation header fields received in the request, and the server is unwilling to supply a default representation.

AlreadyExists

The request could not be completed due to a conflict with the current state of the target resource, e.g. the resource it tries to create already exists.

Unknown

This means that the server encountered an unexpected condition that prevented it from fulfilling the request.

This Python package is automatically generated by the OpenAPI Generator project:

• API version: 2.9.0
• Package version: 2.9.0
• Build package: org.openapitools.codegen.languages.PythonClientCodegen

For more information, please visit https://airflow.apache.org

Requirements.

Python >=3.9

Installation & Usage

pip install

You can install the client using standard Python installation tools. It is hosted in PyPI with apache-airflow-client package id so the easiest way to get the latest version is to run:

pip install apache-airflow-client

If the python package is hosted on a repository, you can install directly using:

pip install git+https://github.com/apache/airflow-client-python.git

Import check

Then import the package:

import airflow_client.client

Getting Started

Please follow the installation procedure and then run the following:

import airflow_client.client
from airflow_client.client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(host="http://localhost")

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

configuration.access_token = os.environ["ACCESS_TOKEN"]


# Enter a context with an instance of the API client
with airflow_client.client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = airflow_client.client.AssetApi(api_client)
    create_asset_events_body = airflow_client.client.CreateAssetEventsBody()  # CreateAssetEventsBody |

    try:
        # Create Asset Event
        api_response = api_instance.create_asset_event(create_asset_events_body)
        print("The response of AssetApi->create_asset_event:\n")
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling AssetApi->create_asset_event: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to http://localhost

Class	Method	HTTP request	Description
AssetApi	create_asset_event	POST /api/v2/assets/events	Create Asset Event
AssetApi	delete_asset_queued_events	DELETE /api/v2/assets/{asset_id}/queuedEvents	Delete Asset Queued Events
AssetApi	delete_dag_asset_queued_event	DELETE /api/v2/dags/{dag_id}/assets/{asset_id}/queuedEvents	Delete Dag Asset Queued Event
AssetApi	delete_dag_asset_queued_events	DELETE /api/v2/dags/{dag_id}/assets/queuedEvents	Delete Dag Asset Queued Events
AssetApi	get_asset	GET /api/v2/assets/{asset_id}	Get Asset
AssetApi	get_asset_alias	GET /api/v2/assets/aliases/{asset_alias_id}	Get Asset Alias
AssetApi	get_asset_aliases	GET /api/v2/assets/aliases	Get Asset Aliases
AssetApi	get_asset_events	GET /api/v2/assets/events	Get Asset Events
AssetApi	get_asset_queued_events	GET /api/v2/assets/{asset_id}/queuedEvents	Get Asset Queued Events
AssetApi	get_assets	GET /api/v2/assets	Get Assets
AssetApi	get_dag_asset_queued_event	GET /api/v2/dags/{dag_id}/assets/{asset_id}/queuedEvents	Get Dag Asset Queued Event
AssetApi	get_dag_asset_queued_events	GET /api/v2/dags/{dag_id}/assets/queuedEvents	Get Dag Asset Queued Events
AssetApi	materialize_asset	POST /api/v2/assets/{asset_id}/materialize	Materialize Asset
BackfillApi	cancel_backfill	PUT /api/v2/backfills/{backfill_id}/cancel	Cancel Backfill
BackfillApi	create_backfill	POST /api/v2/backfills	Create Backfill
BackfillApi	create_backfill_dry_run	POST /api/v2/backfills/dry_run	Create Backfill Dry Run
BackfillApi	get_backfill	GET /api/v2/backfills/{backfill_id}	Get Backfill
BackfillApi	list_backfills	GET /api/v2/backfills	List Backfills
BackfillApi	pause_backfill	PUT /api/v2/backfills/{backfill_id}/pause	Pause Backfill
BackfillApi	unpause_backfill	PUT /api/v2/backfills/{backfill_id}/unpause	Unpause Backfill
ConfigApi	get_config	GET /api/v2/config	Get Config
ConfigApi	get_config_value	GET /api/v2/config/section/{section}/option/{option}	Get Config Value
ConnectionApi	bulk_connections	PATCH /api/v2/connections	Bulk Connections
ConnectionApi	create_default_connections	POST /api/v2/connections/defaults	Create Default Connections
ConnectionApi	delete_connection	DELETE /api/v2/connections/{connection_id}	Delete Connection
ConnectionApi	get_connection	GET /api/v2/connections/{connection_id}	Get Connection
ConnectionApi	get_connections	GET /api/v2/connections	Get Connections
ConnectionApi	patch_connection	PATCH /api/v2/connections/{connection_id}	Patch Connection
ConnectionApi	post_connection	POST /api/v2/connections	Post Connection
ConnectionApi	test_connection	POST /api/v2/connections/test	Test Connection
DAGApi	delete_dag	DELETE /api/v2/dags/{dag_id}	Delete Dag
DAGApi	get_dag	GET /api/v2/dags/{dag_id}	Get Dag
DAGApi	get_dag_details	GET /api/v2/dags/{dag_id}/details	Get Dag Details
DAGApi	get_dag_tags	GET /api/v2/dagTags	Get Dag Tags
DAGApi	get_dags	GET /api/v2/dags	Get Dags
DAGApi	patch_dag	PATCH /api/v2/dags/{dag_id}	Patch Dag
DAGApi	patch_dags	PATCH /api/v2/dags	Patch Dags
DAGParsingApi	reparse_dag_file	PUT /api/v2/parseDagFile/{file_token}	Reparse Dag File
DagReportApi	get_dag_reports	GET /api/v2/dagReports	Get Dag Reports
DagRunApi	clear_dag_run	POST /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/clear	Clear Dag Run
DagRunApi	delete_dag_run	DELETE /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}	Delete Dag Run
DagRunApi	get_dag_run	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}	Get Dag Run
DagRunApi	get_dag_runs	GET /api/v2/dags/{dag_id}/dagRuns	Get Dag Runs
DagRunApi	get_list_dag_runs_batch	POST /api/v2/dags/{dag_id}/dagRuns/list	Get List Dag Runs Batch
DagRunApi	get_upstream_asset_events	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/upstreamAssetEvents	Get Upstream Asset Events
DagRunApi	patch_dag_run	PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}	Patch Dag Run
DagRunApi	trigger_dag_run	POST /api/v2/dags/{dag_id}/dagRuns	Trigger Dag Run
DagSourceApi	get_dag_source	GET /api/v2/dagSources/{dag_id}	Get Dag Source
DagStatsApi	get_dag_stats	GET /api/v2/dagStats	Get Dag Stats
DagVersionApi	get_dag_version	GET /api/v2/dags/{dag_id}/dagVersions/{version_number}	Get Dag Version
DagVersionApi	get_dag_versions	GET /api/v2/dags/{dag_id}/dagVersions	Get Dag Versions
DagWarningApi	list_dag_warnings	GET /api/v2/dagWarnings	List Dag Warnings
EventLogApi	get_event_log	GET /api/v2/eventLogs/{event_log_id}	Get Event Log
EventLogApi	get_event_logs	GET /api/v2/eventLogs	Get Event Logs
ExtraLinksApi	get_extra_links	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/links	Get Extra Links
ImportErrorApi	get_import_error	GET /api/v2/importErrors/{import_error_id}	Get Import Error
ImportErrorApi	get_import_errors	GET /api/v2/importErrors	Get Import Errors
JobApi	get_jobs	GET /api/v2/jobs	Get Jobs
LoginApi	login	GET /api/v2/auth/login	Login
LoginApi	logout	GET /api/v2/auth/logout	Logout
MonitorApi	get_health	GET /api/v2/monitor/health	Get Health
PluginApi	get_plugins	GET /api/v2/plugins	Get Plugins
PoolApi	bulk_pools	PATCH /api/v2/pools	Bulk Pools
PoolApi	delete_pool	DELETE /api/v2/pools/{pool_name}	Delete Pool
PoolApi	get_pool	GET /api/v2/pools/{pool_name}	Get Pool
PoolApi	get_pools	GET /api/v2/pools	Get Pools
PoolApi	patch_pool	PATCH /api/v2/pools/{pool_name}	Patch Pool
PoolApi	post_pool	POST /api/v2/pools	Post Pool
ProviderApi	get_providers	GET /api/v2/providers	Get Providers
TaskApi	get_task	GET /api/v2/dags/{dag_id}/tasks/{task_id}	Get Task
TaskApi	get_tasks	GET /api/v2/dags/{dag_id}/tasks	Get Tasks
TaskInstanceApi	get_extra_links	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/links	Get Extra Links
TaskInstanceApi	get_log	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/logs/{try_number}	Get Log
TaskInstanceApi	get_mapped_task_instance	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}	Get Mapped Task Instance
TaskInstanceApi	get_mapped_task_instance_tries	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/tries	Get Mapped Task Instance Tries
TaskInstanceApi	get_mapped_task_instance_try_details	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/tries/{task_try_number}	Get Mapped Task Instance Try Details
TaskInstanceApi	get_mapped_task_instances	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/listMapped	Get Mapped Task Instances
TaskInstanceApi	get_task_instance	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}	Get Task Instance
TaskInstanceApi	get_task_instance_dependencies	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/dependencies	Get Task Instance Dependencies
TaskInstanceApi	get_task_instance_dependencies_by_map_index	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/dependencies	Get Task Instance Dependencies
TaskInstanceApi	get_task_instance_tries	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/tries	Get Task Instance Tries
TaskInstanceApi	get_task_instance_try_details	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/tries/{task_try_number}	Get Task Instance Try Details
TaskInstanceApi	get_task_instances	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances	Get Task Instances
TaskInstanceApi	get_task_instances_batch	POST /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/list	Get Task Instances Batch
TaskInstanceApi	patch_task_instance	PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}	Patch Task Instance
TaskInstanceApi	patch_task_instance_by_map_index	PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}	Patch Task Instance
TaskInstanceApi	patch_task_instance_dry_run	PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/dry_run	Patch Task Instance Dry Run
TaskInstanceApi	patch_task_instance_dry_run_by_map_index	PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/dry_run	Patch Task Instance Dry Run
TaskInstanceApi	post_clear_task_instances	POST /api/v2/dags/{dag_id}/clearTaskInstances	Post Clear Task Instances
VariableApi	bulk_variables	PATCH /api/v2/variables	Bulk Variables
VariableApi	delete_variable	DELETE /api/v2/variables/{variable_key}	Delete Variable
VariableApi	get_variable	GET /api/v2/variables/{variable_key}	Get Variable
VariableApi	get_variables	GET /api/v2/variables	Get Variables
VariableApi	patch_variable	PATCH /api/v2/variables/{variable_key}	Patch Variable
VariableApi	post_variable	POST /api/v2/variables	Post Variable
VersionApi	get_version	GET /api/v2/version	Get Version
XComApi	create_xcom_entry	POST /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/xcomEntries	Create Xcom Entry
XComApi	get_xcom_entries	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/xcomEntries	Get Xcom Entries
XComApi	get_xcom_entry	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/xcomEntries/{xcom_key}	Get Xcom Entry
XComApi	update_xcom_entry	PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/xcomEntries/{xcom_key}	Update Xcom Entry

Documentation For Models

• AppBuilderMenuItemResponse
• AppBuilderViewResponse
• AssetAliasCollectionResponse
• AssetAliasResponse
• AssetCollectionResponse
• AssetEventCollectionResponse
• AssetEventResponse
• AssetResponse
• BackfillCollectionResponse
• BackfillPostBody
• BackfillResponse
• BaseInfoResponse
• BulkAction
• BulkActionNotOnExistence
• BulkActionOnExistence
• BulkActionResponse
• BulkBodyConnectionBody
• BulkBodyConnectionBodyActionsInner
• BulkBodyPoolBody
• BulkBodyPoolBodyActionsInner
• BulkBodyVariableBody
• BulkBodyVariableBodyActionsInner
• BulkCreateActionConnectionBody
• BulkCreateActionPoolBody
• BulkCreateActionVariableBody
• BulkDeleteActionConnectionBody
• BulkDeleteActionPoolBody
• BulkDeleteActionVariableBody
• BulkResponse
• BulkUpdateActionConnectionBody
• BulkUpdateActionPoolBody
• BulkUpdateActionVariableBody
• ClearTaskInstancesBody
• ClearTaskInstancesBodyTaskIdsInner
• Config
• ConfigOption
• ConfigSection
• ConnectionBody
• ConnectionCollectionResponse
• ConnectionResponse
• ConnectionTestResponse
• Content
• CreateAssetEventsBody
• DAGCollectionResponse
• DAGDetailsResponse
• DAGPatchBody
• DAGResponse
• DAGRunClearBody
• DAGRunCollectionResponse
• DAGRunPatchBody
• DAGRunPatchStates
• DAGRunResponse
• DAGRunsBatchBody
• DAGSourceResponse
• DAGTagCollectionResponse
• DAGVersionCollectionResponse
• DAGWarningCollectionResponse
• DAGWarningResponse
• DagProcessorInfoResponse
• DagRunAssetReference
• DagRunState
• DagRunTriggeredByType
• DagRunType
• DagScheduleAssetReference
• DagStatsCollectionResponse
• DagStatsResponse
• DagStatsStateResponse
• DagTagResponse
• DagVersionResponse
• DagWarningType
• Detail
• DryRunBackfillCollectionResponse
• DryRunBackfillResponse
• EventLogCollectionResponse
• EventLogResponse
• ExtraLinkCollectionResponse
• FastAPIAppResponse
• FastAPIRootMiddlewareResponse
• HTTPExceptionResponse
• HTTPValidationError
• HealthInfoResponse
• ImportErrorCollectionResponse
• ImportErrorResponse
• JobCollectionResponse
• JobResponse
• PatchTaskInstanceBody
• PluginCollectionResponse
• PluginResponse
• PoolBody
• PoolCollectionResponse
• PoolPatchBody
• PoolResponse
• ProviderCollectionResponse
• ProviderResponse
• QueuedEventCollectionResponse
• QueuedEventResponse
• ReprocessBehavior
• ResponseClearDagRun
• ResponseGetXcomEntry
• SchedulerInfoResponse
• StructuredLogMessage
• TaskCollectionResponse
• TaskDependencyCollectionResponse
• TaskDependencyResponse
• TaskInstanceCollectionResponse
• TaskInstanceHistoryCollectionResponse
• TaskInstanceHistoryResponse
• TaskInstanceResponse
• TaskInstanceState
• TaskInstancesBatchBody
• TaskInstancesLogResponse
• TaskOutletAssetReference
• TaskResponse
• TimeDelta
• TriggerDAGRunPostBody
• TriggerResponse
• TriggererInfoResponse
• ValidationError
• ValidationErrorLocInner
• Value
• VariableBody
• VariableCollectionResponse
• VariableResponse
• VersionInfo
• XComCollectionResponse
• XComCreateBody
• XComResponse
• XComResponseNative
• XComResponseString
• XComUpdateBody

Documentation For Authorization

By default the generated client supports the three authentication schemes:

• Basic
• GoogleOpenID
• Kerberos
• OAuth2PasswordBearer

However, you can generate client and documentation with your own schemes by adding your own schemes in the security section of the OpenAPI specification. You can do it with Breeze CLI by adding the --security-schemes option to the breeze release-management prepare-python-client command.

Basic "smoke" tests

You can run basic smoke tests to check if the client is working properly - we have a simple test script that uses the API to run the tests. To do that, you need to:

• install the apache-airflow-client package as described above
• install rich Python package
• download the test_python_client.py file
• make sure you have test airflow installation running. Do not experiment with your production deployment
• configure your airflow webserver to enable basic authentication In the [api] section of your airflow.cfg set:

[api]
auth_backend = airflow.providers.fab.auth_manager.api.auth.backend.session,airflow.providers.fab.auth_manager.api.auth.backend.basic_auth

You can also set it by env variable: export AIRFLOW__API__AUTH_BACKENDS=airflow.providers.fab.auth_manager.api.auth.backend.session,airflow.providers.fab.auth_manager.api.auth.backend.basic_auth

• configure your airflow webserver to load example dags In the [core] section of your airflow.cfg set:

[core]
load_examples = True

You can also set it by env variable: export AIRFLOW__CORE__LOAD_EXAMPLES=True

• optionally expose configuration (NOTE! that this is dangerous setting). The script will happily run with the default setting, but if you want to see the configuration, you need to expose it. In the [webserver] section of your airflow.cfg set:

[api]
expose_config = True

You can also set it by env variable: export AIRFLOW__API__EXPOSE_CONFIG=True

• Configure your host/ip/user/password in the test_python_client.py file

import airflow_client

# get the access token from Airflow API Server via /auth/token
configuration = airflow_client.client.Configuration(host="http://localhost:8080", access_token=access_token)

• Run scheduler (or dag file processor you have setup with standalone dag file processor) for few parsing loops (you can pass --num-runs parameter to it or keep it running in the background). The script relies on example DAGs being serialized to the DB and this only happens when scheduler runs with core/load_examples set to True.

• Run webserver - reachable at the host/port for the test script you want to run. Make sure it had enough time to initialize.

Run python test_python_client.py and you should see colored output showing attempts to connect and status.

Notes for Large OpenAPI documents

If the OpenAPI document is large, imports in client.apis and client.models may fail with a RecursionError indicating the maximum recursion limit has been exceeded. In that case, there are a couple of solutions:

Solution 1: Use specific imports for apis and models like:

• from airflow_client.client.api.default_api import DefaultApi
• from airflow_client.client.model.pet import Pet

Solution 2: Before importing the package, adjust the maximum recursion limit as shown below:

import sys

sys.setrecursionlimit(1500)
import airflow_client.client
from airflow_client.client.api import *
from airflow_client.client.models import *

Authors

dev@airflow.apache.org