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airflow_client.client.DagRunApi

All URIs are relative to http://localhost

Method HTTP request Description
clear_dag_run POST /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/clear Clear Dag Run
delete_dag_run DELETE /api/v2/dags/{dag_id}/dagRuns/{dag_run_id} Delete Dag Run
get_dag_run GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id} Get Dag Run
get_dag_runs GET /api/v2/dags/{dag_id}/dagRuns Get Dag Runs
get_list_dag_runs_batch POST /api/v2/dags/{dag_id}/dagRuns/list Get List Dag Runs Batch
get_upstream_asset_events GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/upstreamAssetEvents Get Upstream Asset Events
patch_dag_run PATCH /api/v2/dags/{dag_id}/dagRuns/{dag_run_id} Patch Dag Run
trigger_dag_run POST /api/v2/dags/{dag_id}/dagRuns Trigger Dag Run
wait_dag_run_until_finished GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/wait Experimental: Wait for a dag run to complete, and return task results if requested.

clear_dag_run

ResponseClearDagRun clear_dag_run(dag_id, dag_run_id, dag_run_clear_body)

Clear Dag Run

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.dag_run_clear_body import DAGRunClearBody
from airflow_client.client.models.response_clear_dag_run import ResponseClearDagRun
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 
    dag_run_clear_body = airflow_client.client.DAGRunClearBody() # DAGRunClearBody | 

    try:
        # Clear Dag Run
        api_response = api_instance.clear_dag_run(dag_id, dag_run_id, dag_run_clear_body)
        print("The response of DagRunApi->clear_dag_run:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->clear_dag_run: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_run_id str
dag_run_clear_body DAGRunClearBody

Return type

ResponseClearDagRun

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: application/json
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

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delete_dag_run

delete_dag_run(dag_id, dag_run_id)

Delete Dag Run

Delete a Dag Run entry.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 

    try:
        # Delete Dag Run
        api_instance.delete_dag_run(dag_id, dag_run_id)
    except Exception as e:
        print("Exception when calling DagRunApi->delete_dag_run: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_run_id str

Return type

void (empty response body)

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
204 Successful Response -
400 Bad Request -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_dag_run

DAGRunResponse get_dag_run(dag_id, dag_run_id)

Get Dag Run

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.dag_run_response import DAGRunResponse
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 

    try:
        # Get Dag Run
        api_response = api_instance.get_dag_run(dag_id, dag_run_id)
        print("The response of DagRunApi->get_dag_run:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->get_dag_run: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_run_id str

Return type

DAGRunResponse

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_dag_runs

DAGRunCollectionResponse get_dag_runs(dag_id, cursor=cursor, limit=limit, offset=offset, run_after_gte=run_after_gte, run_after_gt=run_after_gt, run_after_lte=run_after_lte, run_after_lt=run_after_lt, logical_date_gte=logical_date_gte, logical_date_gt=logical_date_gt, logical_date_lte=logical_date_lte, logical_date_lt=logical_date_lt, start_date_gte=start_date_gte, start_date_gt=start_date_gt, start_date_lte=start_date_lte, start_date_lt=start_date_lt, end_date_gte=end_date_gte, end_date_gt=end_date_gt, end_date_lte=end_date_lte, end_date_lt=end_date_lt, duration_gte=duration_gte, duration_gt=duration_gt, duration_lte=duration_lte, duration_lt=duration_lt, updated_at_gte=updated_at_gte, updated_at_gt=updated_at_gt, updated_at_lte=updated_at_lte, updated_at_lt=updated_at_lt, conf_contains=conf_contains, run_type=run_type, state=state, dag_version=dag_version, bundle_version=bundle_version, order_by=order_by, run_id_pattern=run_id_pattern, run_id_prefix_pattern=run_id_prefix_pattern, triggering_user_name_pattern=triggering_user_name_pattern, triggering_user_name_prefix_pattern=triggering_user_name_prefix_pattern, dag_id_pattern=dag_id_pattern, dag_id_prefix_pattern=dag_id_prefix_pattern, partition_key_pattern=partition_key_pattern, partition_key_prefix_pattern=partition_key_prefix_pattern, consuming_asset_pattern=consuming_asset_pattern)

Get Dag Runs

Get all Dag Runs.

This endpoint allows specifying ~ as the dag_id to retrieve Dag Runs for all Dags.

Supports two pagination modes:

Offset (default): use limit and offset query parameters. Returns total_entries.

Cursor: pass cursor (empty string for the first page, then next_cursor from the response). When cursor is provided, offset is ignored and total_entries is not returned. next_cursor is null when there are no more pages; previous_cursor is null on the first page.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.dag_run_collection_response import DAGRunCollectionResponse
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    cursor = 'cursor_example' # str | Cursor for keyset-based pagination. Pass an empty string for the first page, then use ``next_cursor`` from the response. When ``cursor`` is provided, ``offset`` is ignored. (optional)
    limit = 50 # int |  (optional) (default to 50)
    offset = 0 # int |  (optional) (default to 0)
    run_after_gte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    run_after_gt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    run_after_lte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    run_after_lt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    logical_date_gte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    logical_date_gt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    logical_date_lte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    logical_date_lt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    start_date_gte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    start_date_gt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    start_date_lte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    start_date_lt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    end_date_gte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    end_date_gt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    end_date_lte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    end_date_lt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    duration_gte = 3.4 # float |  (optional)
    duration_gt = 3.4 # float |  (optional)
    duration_lte = 3.4 # float |  (optional)
    duration_lt = 3.4 # float |  (optional)
    updated_at_gte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    updated_at_gt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    updated_at_lte = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    updated_at_lt = '2013-10-20T19:20:30+01:00' # datetime |  (optional)
    conf_contains = 'conf_contains_example' # str |  (optional)
    run_type = ['run_type_example'] # List[str] |  (optional)
    state = ['state_example'] # List[str] |  (optional)
    dag_version = [56] # List[int] |  (optional)
    bundle_version = 'bundle_version_example' # str |  (optional)
    order_by = ["id"] # List[str] | Attributes to order by, multi criteria sort is supported. Prefix with `-` for descending order. Supported attributes: `id, state, dag_id, run_id, logical_date, run_after, start_date, end_date, updated_at, conf, duration, dag_run_id` (optional) (default to ["id"])
    run_id_pattern = 'run_id_pattern_example' # str | SQL LIKE expression — use `%` / `_` wildcards (e.g. `%customer_%`). or the pipe `|` operator for OR logic (e.g. `dag1 | dag2`). Regular expressions are **not** supported.   **Performance note:** this full-match pattern is evaluated as ``ILIKE '%term%'`` and most of the time prevents the database from using B-tree indexes, which can be very slow on large tables. Prefer the equivalent ``run_id_prefix_pattern`` parameter when possible. (optional)
    run_id_prefix_pattern = 'run_id_prefix_pattern_example' # str | Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe `|` operator for OR logic (e.g. `dag1|dag2`). Use `~` to match all. Wildcard characters (`%`, `_`) are treated as literal characters. Trailing non-alphanumeric characters in the prefix are stripped before matching so the range scan stays index-compatible under locale-aware collations — e.g. `test_` effectively matches items starting with `test`, and `s3://` matches items starting with `s3`. (optional)
    triggering_user_name_pattern = 'triggering_user_name_pattern_example' # str | SQL LIKE expression — use `%` / `_` wildcards (e.g. `%customer_%`). or the pipe `|` operator for OR logic (e.g. `dag1 | dag2`). Regular expressions are **not** supported.   **Performance note:** this full-match pattern is evaluated as ``ILIKE '%term%'`` and most of the time prevents the database from using B-tree indexes, which can be very slow on large tables. Prefer the equivalent ``triggering_user_name_prefix_pattern`` parameter when possible. (optional)
    triggering_user_name_prefix_pattern = 'triggering_user_name_prefix_pattern_example' # str | Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe `|` operator for OR logic (e.g. `dag1|dag2`). Use `~` to match all. Wildcard characters (`%`, `_`) are treated as literal characters. Trailing non-alphanumeric characters in the prefix are stripped before matching so the range scan stays index-compatible under locale-aware collations — e.g. `test_` effectively matches items starting with `test`, and `s3://` matches items starting with `s3`. (optional)
    dag_id_pattern = 'dag_id_pattern_example' # str | SQL LIKE expression — use `%` / `_` wildcards (e.g. `%customer_%`). or the pipe `|` operator for OR logic (e.g. `dag1 | dag2`). Regular expressions are **not** supported.   **Performance note:** this full-match pattern is evaluated as ``ILIKE '%term%'`` and most of the time prevents the database from using B-tree indexes, which can be very slow on large tables. Prefer the equivalent ``dag_id_prefix_pattern`` parameter when possible. (optional)
    dag_id_prefix_pattern = 'dag_id_prefix_pattern_example' # str | Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe `|` operator for OR logic (e.g. `dag1|dag2`). Use `~` to match all. Wildcard characters (`%`, `_`) are treated as literal characters. Trailing non-alphanumeric characters in the prefix are stripped before matching so the range scan stays index-compatible under locale-aware collations — e.g. `test_` effectively matches items starting with `test`, and `s3://` matches items starting with `s3`. (optional)
    partition_key_pattern = 'partition_key_pattern_example' # str | SQL LIKE expression — use `%` / `_` wildcards (e.g. `%customer_%`). or the pipe `|` operator for OR logic (e.g. `dag1 | dag2`). Regular expressions are **not** supported.   **Performance note:** this full-match pattern is evaluated as ``ILIKE '%term%'`` and most of the time prevents the database from using B-tree indexes, which can be very slow on large tables. Prefer the equivalent ``partition_key_prefix_pattern`` parameter when possible. (optional)
    partition_key_prefix_pattern = 'partition_key_prefix_pattern_example' # str | Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe `|` operator for OR logic (e.g. `dag1|dag2`). Use `~` to match all. Wildcard characters (`%`, `_`) are treated as literal characters. Trailing non-alphanumeric characters in the prefix are stripped before matching so the range scan stays index-compatible under locale-aware collations — e.g. `test_` effectively matches items starting with `test`, and `s3://` matches items starting with `s3`. (optional)
    consuming_asset_pattern = 'consuming_asset_pattern_example' # str | Filter by consuming asset name or URI using pattern matching (optional)

    try:
        # Get Dag Runs
        api_response = api_instance.get_dag_runs(dag_id, cursor=cursor, limit=limit, offset=offset, run_after_gte=run_after_gte, run_after_gt=run_after_gt, run_after_lte=run_after_lte, run_after_lt=run_after_lt, logical_date_gte=logical_date_gte, logical_date_gt=logical_date_gt, logical_date_lte=logical_date_lte, logical_date_lt=logical_date_lt, start_date_gte=start_date_gte, start_date_gt=start_date_gt, start_date_lte=start_date_lte, start_date_lt=start_date_lt, end_date_gte=end_date_gte, end_date_gt=end_date_gt, end_date_lte=end_date_lte, end_date_lt=end_date_lt, duration_gte=duration_gte, duration_gt=duration_gt, duration_lte=duration_lte, duration_lt=duration_lt, updated_at_gte=updated_at_gte, updated_at_gt=updated_at_gt, updated_at_lte=updated_at_lte, updated_at_lt=updated_at_lt, conf_contains=conf_contains, run_type=run_type, state=state, dag_version=dag_version, bundle_version=bundle_version, order_by=order_by, run_id_pattern=run_id_pattern, run_id_prefix_pattern=run_id_prefix_pattern, triggering_user_name_pattern=triggering_user_name_pattern, triggering_user_name_prefix_pattern=triggering_user_name_prefix_pattern, dag_id_pattern=dag_id_pattern, dag_id_prefix_pattern=dag_id_prefix_pattern, partition_key_pattern=partition_key_pattern, partition_key_prefix_pattern=partition_key_prefix_pattern, consuming_asset_pattern=consuming_asset_pattern)
        print("The response of DagRunApi->get_dag_runs:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->get_dag_runs: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
cursor str Cursor for keyset-based pagination. Pass an empty string for the first page, then use ``next_cursor`` from the response. When ``cursor`` is provided, ``offset`` is ignored. [optional]
limit int [optional] [default to 50]
offset int [optional] [default to 0]
run_after_gte datetime [optional]
run_after_gt datetime [optional]
run_after_lte datetime [optional]
run_after_lt datetime [optional]
logical_date_gte datetime [optional]
logical_date_gt datetime [optional]
logical_date_lte datetime [optional]
logical_date_lt datetime [optional]
start_date_gte datetime [optional]
start_date_gt datetime [optional]
start_date_lte datetime [optional]
start_date_lt datetime [optional]
end_date_gte datetime [optional]
end_date_gt datetime [optional]
end_date_lte datetime [optional]
end_date_lt datetime [optional]
duration_gte float [optional]
duration_gt float [optional]
duration_lte float [optional]
duration_lt float [optional]
updated_at_gte datetime [optional]
updated_at_gt datetime [optional]
updated_at_lte datetime [optional]
updated_at_lt datetime [optional]
conf_contains str [optional]
run_type List[str] [optional]
state List[str] [optional]
dag_version List[int] [optional]
bundle_version str [optional]
order_by List[str] Attributes to order by, multi criteria sort is supported. Prefix with `-` for descending order. Supported attributes: `id, state, dag_id, run_id, logical_date, run_after, start_date, end_date, updated_at, conf, duration, dag_run_id` [optional] [default to ["id"]]
run_id_pattern str SQL LIKE expression — use `%` / `` wildcards (e.g. `%customer%`). or the pipe ` ` operator for OR logic (e.g. `dag1
run_id_prefix_pattern str Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe ` ` operator for OR logic (e.g. `dag1
triggering_user_name_pattern str SQL LIKE expression — use `%` / `` wildcards (e.g. `%customer%`). or the pipe ` ` operator for OR logic (e.g. `dag1
triggering_user_name_prefix_pattern str Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe ` ` operator for OR logic (e.g. `dag1
dag_id_pattern str SQL LIKE expression — use `%` / `` wildcards (e.g. `%customer%`). or the pipe ` ` operator for OR logic (e.g. `dag1
dag_id_prefix_pattern str Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe ` ` operator for OR logic (e.g. `dag1
partition_key_pattern str SQL LIKE expression — use `%` / `` wildcards (e.g. `%customer%`). or the pipe ` ` operator for OR logic (e.g. `dag1
partition_key_prefix_pattern str Prefix match — returns items whose value starts with the given string (case-sensitive, index-friendly). Use the pipe ` ` operator for OR logic (e.g. `dag1
consuming_asset_pattern str Filter by consuming asset name or URI using pattern matching [optional]

Return type

DAGRunCollectionResponse

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_list_dag_runs_batch

DAGRunCollectionResponse get_list_dag_runs_batch(dag_id, dag_runs_batch_body)

Get List Dag Runs Batch

Get a list of Dag Runs.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.dag_run_collection_response import DAGRunCollectionResponse
from airflow_client.client.models.dag_runs_batch_body import DAGRunsBatchBody
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_runs_batch_body = airflow_client.client.DAGRunsBatchBody() # DAGRunsBatchBody | 

    try:
        # Get List Dag Runs Batch
        api_response = api_instance.get_list_dag_runs_batch(dag_id, dag_runs_batch_body)
        print("The response of DagRunApi->get_list_dag_runs_batch:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->get_list_dag_runs_batch: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_runs_batch_body DAGRunsBatchBody

Return type

DAGRunCollectionResponse

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: application/json
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_upstream_asset_events

AssetEventCollectionResponse get_upstream_asset_events(dag_id, dag_run_id)

Get Upstream Asset Events

If dag run is asset-triggered, return the asset events that triggered it.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.asset_event_collection_response import AssetEventCollectionResponse
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 

    try:
        # Get Upstream Asset Events
        api_response = api_instance.get_upstream_asset_events(dag_id, dag_run_id)
        print("The response of DagRunApi->get_upstream_asset_events:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->get_upstream_asset_events: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_run_id str

Return type

AssetEventCollectionResponse

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

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patch_dag_run

DAGRunResponse patch_dag_run(dag_id, dag_run_id, dag_run_patch_body, update_mask=update_mask)

Patch Dag Run

Modify a Dag Run.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.dag_run_patch_body import DAGRunPatchBody
from airflow_client.client.models.dag_run_response import DAGRunResponse
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 
    dag_run_patch_body = airflow_client.client.DAGRunPatchBody() # DAGRunPatchBody | 
    update_mask = ['update_mask_example'] # List[str] |  (optional)

    try:
        # Patch Dag Run
        api_response = api_instance.patch_dag_run(dag_id, dag_run_id, dag_run_patch_body, update_mask=update_mask)
        print("The response of DagRunApi->patch_dag_run:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->patch_dag_run: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_run_id str
dag_run_patch_body DAGRunPatchBody
update_mask List[str] [optional]

Return type

DAGRunResponse

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: application/json
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
400 Bad Request -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

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trigger_dag_run

DAGRunResponse trigger_dag_run(dag_id, trigger_dag_run_post_body)

Trigger Dag Run

Trigger a Dag.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
import airflow_client.client
from airflow_client.client.models.dag_run_response import DAGRunResponse
from airflow_client.client.models.trigger_dag_run_post_body import TriggerDAGRunPostBody
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = None # object | 
    trigger_dag_run_post_body = airflow_client.client.TriggerDAGRunPostBody() # TriggerDAGRunPostBody | 

    try:
        # Trigger Dag Run
        api_response = api_instance.trigger_dag_run(dag_id, trigger_dag_run_post_body)
        print("The response of DagRunApi->trigger_dag_run:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->trigger_dag_run: %s\n" % e)

Parameters

Name Type Description Notes
dag_id object
trigger_dag_run_post_body TriggerDAGRunPostBody

Return type

DAGRunResponse

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: application/json
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 Successful Response -
400 Bad Request -
401 Unauthorized -
403 Forbidden -
404 Not Found -
409 Conflict -
422 Validation Error -

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wait_dag_run_until_finished

object wait_dag_run_until_finished(dag_id, dag_run_id, interval, result=result)

Experimental: Wait for a dag run to complete, and return task results if requested.

🚧 This is an experimental endpoint and may change or be removed without notice.Successful response are streamed as newline-delimited JSON (NDJSON). Each line is a JSON object representing the Dag run state.

Example

  • OAuth Authentication (OAuth2PasswordBearer):
  • Bearer Authentication (HTTPBearer):
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"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_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.DagRunApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 
    interval = 3.4 # float | Seconds to wait between dag run state checks
    result = ['result_example'] # List[str] | Collect result XCom from task. Can be set multiple times. (optional)

    try:
        # Experimental: Wait for a dag run to complete, and return task results if requested.
        api_response = api_instance.wait_dag_run_until_finished(dag_id, dag_run_id, interval, result=result)
        print("The response of DagRunApi->wait_dag_run_until_finished:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling DagRunApi->wait_dag_run_until_finished: %s\n" % e)

Parameters

Name Type Description Notes
dag_id str
dag_run_id str
interval float Seconds to wait between dag run state checks
result List[str] Collect result XCom from task. Can be set multiple times. [optional]

Return type

object

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json, application/x-ndjson

HTTP response details

Status code Description Response headers
200 Successful Response -
401 Unauthorized -
403 Forbidden -
404 Not Found -
422 Validation Error -

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