TaskInstanceApi.md

airflow_client.client.TaskInstanceApi

All URIs are relative to /api/v1

Method	HTTP request	Description
get_extra_links	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/links	List extra links
get_log	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/logs/{task_try_number}	Get logs
get_mapped_task_instance	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}	Get a mapped task instance
get_mapped_task_instance_dependencies	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/dependencies	Get task dependencies blocking task from getting scheduled.
get_mapped_task_instance_tries	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/tries	List mapped task instance tries
get_mapped_task_instance_try_details	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/tries/{task_try_number}	get mapped taskinstance try
get_mapped_task_instances	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/listMapped	List mapped task instances
get_task_instance	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}	Get a task instance
get_task_instance_dependencies	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/dependencies	Get task dependencies blocking task from getting scheduled.
get_task_instance_tries	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/tries	List task instance tries
get_task_instance_try_details	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/tries/{task_try_number}	get taskinstance try
get_task_instances	GET /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances	List task instances
get_task_instances_batch	POST /dags//dagRuns//taskInstances/list	List task instances (batch)
patch_mapped_task_instance	PATCH /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}	Updates the state of a mapped task instance
patch_task_instance	PATCH /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}	Updates the state of a task instance
set_mapped_task_instance_note	PATCH /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/{map_index}/setNote	Update the TaskInstance note.
set_task_instance_note	PATCH /dags/{dag_id}/dagRuns/{dag_run_id}/taskInstances/{task_id}/setNote	Update the TaskInstance note.

get_extra_links

ExtraLinkCollection get_extra_links(dag_id, dag_run_id, task_id)

List extra links

List extra links for task instance.

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.extra_link_collection import ExtraLinkCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.

    # example passing only required values which don't have defaults set
    try:
        # List extra links
        api_response = api_instance.get_extra_links(dag_id, dag_run_id, task_id)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_extra_links: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.

Return type

ExtraLinkCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_log

InlineResponse2001 get_log(dag_id, dag_run_id, task_id, task_try_number)

Get logs

Get logs for a specific task instance and its try number. To get log from specific character position, following way of using URLSafeSerializer can be used. Example: from itsdangerous.url_safe import URLSafeSerializer request_url = f\"api/v1/dags/{DAG_ID}/dagRuns/{RUN_ID}/taskInstances/{TASK_ID}/logs/1\" key = app.config[\"SECRET_KEY\"] serializer = URLSafeSerializer(key) token = serializer.dumps({\"log_pos\": 10000}) response = self.client.get( request_url, query_string={\"token\": token}, headers={\"Accept\": \"text/plain\"}, environ_overrides={\"REMOTE_USER\": \"test\"}, ) continuation_token = response.json[\"continuation_token\"] metadata = URLSafeSerializer(key).loads(continuation_token) log_pos = metadata[\"log_pos\"] end_of_log = metadata[\"end_of_log\"] If log_pos is passed as 10000 like the above example, it renders the logs starting from char position 10000 to last (not the end as the logs may be tailing behind in running state). This way pagination can be done with metadata as part of the token.

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.inline_response2001 import InlineResponse2001
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    task_try_number = 1 # int | The task try number.
    full_content = True # bool | A full content will be returned. By default, only the first fragment will be returned.  (optional)
    map_index = 1 # int | Filter on map index for mapped task. (optional)
    token = "token_example" # str | A token that allows you to continue fetching logs. If passed, it will specify the location from which the download should be continued.  (optional)

    # example passing only required values which don't have defaults set
    try:
        # Get logs
        api_response = api_instance.get_log(dag_id, dag_run_id, task_id, task_try_number)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_log: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get logs
        api_response = api_instance.get_log(dag_id, dag_run_id, task_id, task_try_number, full_content=full_content, map_index=map_index, token=token)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_log: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
task_try_number	int	The task try number.
full_content	bool	A full content will be returned. By default, only the first fragment will be returned.	[optional]
map_index	int	Filter on map index for mapped task.	[optional]
token	str	A token that allows you to continue fetching logs. If passed, it will specify the location from which the download should be continued.	[optional]

Return type

InlineResponse2001

Authorization

Basic, Kerberos

HTTP request headers

• Content-Type: Not defined
• Accept: application/json, text/plain

HTTP response details

Status code	Description	Response headers
200	Success.	-
400	Client specified an invalid argument.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_mapped_task_instance

TaskInstance get_mapped_task_instance(dag_id, dag_run_id, task_id, map_index)

Get a mapped task instance

Get details of a mapped task instance. New in version 2.3.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance import TaskInstance
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    map_index = 1 # int | The map index.

    # example passing only required values which don't have defaults set
    try:
        # Get a mapped task instance
        api_response = api_instance.get_mapped_task_instance(dag_id, dag_run_id, task_id, map_index)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instance: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
map_index	int	The map index.

Return type

TaskInstance

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_mapped_task_instance_dependencies

TaskInstanceDependencyCollection get_mapped_task_instance_dependencies(dag_id, dag_run_id, task_id, map_index)

Get task dependencies blocking task from getting scheduled.

Get task dependencies blocking task from getting scheduled. New in version 2.10.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_dependency_collection import TaskInstanceDependencyCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    map_index = 1 # int | The map index.

    # example passing only required values which don't have defaults set
    try:
        # Get task dependencies blocking task from getting scheduled.
        api_response = api_instance.get_mapped_task_instance_dependencies(dag_id, dag_run_id, task_id, map_index)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instance_dependencies: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
map_index	int	The map index.

Return type

TaskInstanceDependencyCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
400	Client specified an invalid argument.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_mapped_task_instance_tries

TaskInstanceCollection get_mapped_task_instance_tries(dag_id, dag_run_id, task_id, map_index)

List mapped task instance tries

Get details of all task instance tries. New in version 2.10.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_collection import TaskInstanceCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    map_index = 1 # int | The map index.
    limit = 100 # int | The numbers of items to return. (optional) if omitted the server will use the default value of 100
    offset = 0 # int | The number of items to skip before starting to collect the result set. (optional)
    order_by = "order_by_example" # str | The name of the field to order the results by. Prefix a field name with `-` to reverse the sort order.  *New in version 2.1.0*  (optional)

    # example passing only required values which don't have defaults set
    try:
        # List mapped task instance tries
        api_response = api_instance.get_mapped_task_instance_tries(dag_id, dag_run_id, task_id, map_index)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instance_tries: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # List mapped task instance tries
        api_response = api_instance.get_mapped_task_instance_tries(dag_id, dag_run_id, task_id, map_index, limit=limit, offset=offset, order_by=order_by)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instance_tries: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
map_index	int	The map index.
limit	int	The numbers of items to return.	[optional] if omitted the server will use the default value of 100
offset	int	The number of items to skip before starting to collect the result set.	[optional]
order_by	str	The name of the field to order the results by. Prefix a field name with `-` to reverse the sort order. New in version 2.1.0	[optional]

Return type

TaskInstanceCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_mapped_task_instance_try_details

TaskInstance get_mapped_task_instance_try_details(dag_id, dag_run_id, task_id, map_index, task_try_number)

get mapped taskinstance try

Get details of a mapped task instance try. New in version 2.10.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance import TaskInstance
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    map_index = 1 # int | The map index.
    task_try_number = 1 # int | The task try number.

    # example passing only required values which don't have defaults set
    try:
        # get mapped taskinstance try
        api_response = api_instance.get_mapped_task_instance_try_details(dag_id, dag_run_id, task_id, map_index, task_try_number)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instance_try_details: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
map_index	int	The map index.
task_try_number	int	The task try number.

Return type

TaskInstance

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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

get_mapped_task_instances

TaskInstanceCollection get_mapped_task_instances(dag_id, dag_run_id, task_id)

List mapped task instances

Get details of all mapped task instances. New in version 2.3.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_collection import TaskInstanceCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    limit = 100 # int | The numbers of items to return. (optional) if omitted the server will use the default value of 100
    offset = 0 # int | The number of items to skip before starting to collect the result set. (optional)
    execution_date_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal to the specified date.  This can be combined with execution_date_lte parameter to receive only the selected period.  (optional)
    execution_date_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less than or equal to the specified date.  This can be combined with execution_date_gte parameter to receive only the selected period.  (optional)
    start_date_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal the specified date.  This can be combined with start_date_lte parameter to receive only the selected period.  (optional)
    start_date_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less or equal the specified date.  This can be combined with start_date_gte parameter to receive only the selected period.  (optional)
    end_date_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal the specified date.  This can be combined with start_date_lte parameter to receive only the selected period.  (optional)
    end_date_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less than or equal to the specified date.  This can be combined with start_date_gte parameter to receive only the selected period.  (optional)
    updated_at_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal the specified date.  This can be combined with updated_at_lte parameter to receive only the selected period.  *New in version 2.6.0*  (optional)
    updated_at_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less or equal the specified date.  This can be combined with updated_at_gte parameter to receive only the selected period.  *New in version 2.6.0*  (optional)
    duration_gte = 3.14 # float | Returns objects greater than or equal to the specified values.  This can be combined with duration_lte parameter to receive only the selected period.  (optional)
    duration_lte = 3.14 # float | Returns objects less than or equal to the specified values.  This can be combined with duration_gte parameter to receive only the selected range.  (optional)
    state = [
        "state_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    pool = [
        "pool_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    queue = [
        "queue_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    executor = [
        "executor_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    order_by = "order_by_example" # str | The name of the field to order the results by. Prefix a field name with `-` to reverse the sort order.  *New in version 2.1.0*  (optional)

    # example passing only required values which don't have defaults set
    try:
        # List mapped task instances
        api_response = api_instance.get_mapped_task_instances(dag_id, dag_run_id, task_id)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instances: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # List mapped task instances
        api_response = api_instance.get_mapped_task_instances(dag_id, dag_run_id, task_id, limit=limit, offset=offset, execution_date_gte=execution_date_gte, execution_date_lte=execution_date_lte, start_date_gte=start_date_gte, start_date_lte=start_date_lte, end_date_gte=end_date_gte, end_date_lte=end_date_lte, updated_at_gte=updated_at_gte, updated_at_lte=updated_at_lte, duration_gte=duration_gte, duration_lte=duration_lte, state=state, pool=pool, queue=queue, executor=executor, order_by=order_by)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_mapped_task_instances: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
limit	int	The numbers of items to return.	[optional] if omitted the server will use the default value of 100
offset	int	The number of items to skip before starting to collect the result set.	[optional]
execution_date_gte	datetime	Returns objects greater or equal to the specified date. This can be combined with execution_date_lte parameter to receive only the selected period.	[optional]
execution_date_lte	datetime	Returns objects less than or equal to the specified date. This can be combined with execution_date_gte parameter to receive only the selected period.	[optional]
start_date_gte	datetime	Returns objects greater or equal the specified date. This can be combined with start_date_lte parameter to receive only the selected period.	[optional]
start_date_lte	datetime	Returns objects less or equal the specified date. This can be combined with start_date_gte parameter to receive only the selected period.	[optional]
end_date_gte	datetime	Returns objects greater or equal the specified date. This can be combined with start_date_lte parameter to receive only the selected period.	[optional]
end_date_lte	datetime	Returns objects less than or equal to the specified date. This can be combined with start_date_gte parameter to receive only the selected period.	[optional]
updated_at_gte	datetime	Returns objects greater or equal the specified date. This can be combined with updated_at_lte parameter to receive only the selected period. New in version 2.6.0	[optional]
updated_at_lte	datetime	Returns objects less or equal the specified date. This can be combined with updated_at_gte parameter to receive only the selected period. New in version 2.6.0	[optional]
duration_gte	float	Returns objects greater than or equal to the specified values. This can be combined with duration_lte parameter to receive only the selected period.	[optional]
duration_lte	float	Returns objects less than or equal to the specified values. This can be combined with duration_gte parameter to receive only the selected range.	[optional]
state	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
pool	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
queue	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
executor	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
order_by	str	The name of the field to order the results by. Prefix a field name with `-` to reverse the sort order. New in version 2.1.0	[optional]

Return type

TaskInstanceCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_task_instance

TaskInstance get_task_instance(dag_id, dag_run_id, task_id)

Get a task instance

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance import TaskInstance
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.

    # example passing only required values which don't have defaults set
    try:
        # Get a task instance
        api_response = api_instance.get_task_instance(dag_id, dag_run_id, task_id)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instance: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.

Return type

TaskInstance

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_task_instance_dependencies

TaskInstanceDependencyCollection get_task_instance_dependencies(dag_id, dag_run_id, task_id)

Get task dependencies blocking task from getting scheduled.

Get task dependencies blocking task from getting scheduled. New in version 2.10.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_dependency_collection import TaskInstanceDependencyCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.

    # example passing only required values which don't have defaults set
    try:
        # Get task dependencies blocking task from getting scheduled.
        api_response = api_instance.get_task_instance_dependencies(dag_id, dag_run_id, task_id)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instance_dependencies: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.

Return type

TaskInstanceDependencyCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
400	Client specified an invalid argument.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_task_instance_tries

TaskInstanceCollection get_task_instance_tries(dag_id, dag_run_id, task_id)

List task instance tries

Get details of all task instance tries. New in version 2.10.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_collection import TaskInstanceCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    limit = 100 # int | The numbers of items to return. (optional) if omitted the server will use the default value of 100
    offset = 0 # int | The number of items to skip before starting to collect the result set. (optional)
    order_by = "order_by_example" # str | The name of the field to order the results by. Prefix a field name with `-` to reverse the sort order.  *New in version 2.1.0*  (optional)

    # example passing only required values which don't have defaults set
    try:
        # List task instance tries
        api_response = api_instance.get_task_instance_tries(dag_id, dag_run_id, task_id)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instance_tries: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # List task instance tries
        api_response = api_instance.get_task_instance_tries(dag_id, dag_run_id, task_id, limit=limit, offset=offset, order_by=order_by)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instance_tries: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
limit	int	The numbers of items to return.	[optional] if omitted the server will use the default value of 100
offset	int	The number of items to skip before starting to collect the result set.	[optional]
order_by	str	The name of the field to order the results by. Prefix a field name with `-` to reverse the sort order. New in version 2.1.0	[optional]

Return type

TaskInstanceCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_task_instance_try_details

TaskInstance get_task_instance_try_details(dag_id, dag_run_id, task_id, task_try_number)

get taskinstance try

Get details of a task instance try. New in version 2.10.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance import TaskInstance
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    task_try_number = 1 # int | The task try number.

    # example passing only required values which don't have defaults set
    try:
        # get taskinstance try
        api_response = api_instance.get_task_instance_try_details(dag_id, dag_run_id, task_id, task_try_number)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instance_try_details: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
task_try_number	int	The task try number.

Return type

TaskInstance

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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get_task_instances

TaskInstanceCollection get_task_instances(dag_id, dag_run_id)

List task instances

This endpoint allows specifying ~ as the dag_id, dag_run_id to retrieve DAG runs for all DAGs and DAG runs.

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_collection import TaskInstanceCollection
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    execution_date_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal to the specified date.  This can be combined with execution_date_lte parameter to receive only the selected period.  (optional)
    execution_date_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less than or equal to the specified date.  This can be combined with execution_date_gte parameter to receive only the selected period.  (optional)
    start_date_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal the specified date.  This can be combined with start_date_lte parameter to receive only the selected period.  (optional)
    start_date_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less or equal the specified date.  This can be combined with start_date_gte parameter to receive only the selected period.  (optional)
    end_date_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal the specified date.  This can be combined with start_date_lte parameter to receive only the selected period.  (optional)
    end_date_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less than or equal to the specified date.  This can be combined with start_date_gte parameter to receive only the selected period.  (optional)
    updated_at_gte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects greater or equal the specified date.  This can be combined with updated_at_lte parameter to receive only the selected period.  *New in version 2.6.0*  (optional)
    updated_at_lte = dateutil_parser('1970-01-01T00:00:00.00Z') # datetime | Returns objects less or equal the specified date.  This can be combined with updated_at_gte parameter to receive only the selected period.  *New in version 2.6.0*  (optional)
    duration_gte = 3.14 # float | Returns objects greater than or equal to the specified values.  This can be combined with duration_lte parameter to receive only the selected period.  (optional)
    duration_lte = 3.14 # float | Returns objects less than or equal to the specified values.  This can be combined with duration_gte parameter to receive only the selected range.  (optional)
    state = [
        "state_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    pool = [
        "pool_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    queue = [
        "queue_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    executor = [
        "executor_example",
    ] # [str] | The value can be repeated to retrieve multiple matching values (OR condition). (optional)
    limit = 100 # int | The numbers of items to return. (optional) if omitted the server will use the default value of 100
    offset = 0 # int | The number of items to skip before starting to collect the result set. (optional)

    # example passing only required values which don't have defaults set
    try:
        # List task instances
        api_response = api_instance.get_task_instances(dag_id, dag_run_id)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instances: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # List task instances
        api_response = api_instance.get_task_instances(dag_id, dag_run_id, execution_date_gte=execution_date_gte, execution_date_lte=execution_date_lte, start_date_gte=start_date_gte, start_date_lte=start_date_lte, end_date_gte=end_date_gte, end_date_lte=end_date_lte, updated_at_gte=updated_at_gte, updated_at_lte=updated_at_lte, duration_gte=duration_gte, duration_lte=duration_lte, state=state, pool=pool, queue=queue, executor=executor, limit=limit, offset=offset)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instances: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
execution_date_gte	datetime	Returns objects greater or equal to the specified date. This can be combined with execution_date_lte parameter to receive only the selected period.	[optional]
execution_date_lte	datetime	Returns objects less than or equal to the specified date. This can be combined with execution_date_gte parameter to receive only the selected period.	[optional]
start_date_gte	datetime	Returns objects greater or equal the specified date. This can be combined with start_date_lte parameter to receive only the selected period.	[optional]
start_date_lte	datetime	Returns objects less or equal the specified date. This can be combined with start_date_gte parameter to receive only the selected period.	[optional]
end_date_gte	datetime	Returns objects greater or equal the specified date. This can be combined with start_date_lte parameter to receive only the selected period.	[optional]
end_date_lte	datetime	Returns objects less than or equal to the specified date. This can be combined with start_date_gte parameter to receive only the selected period.	[optional]
updated_at_gte	datetime	Returns objects greater or equal the specified date. This can be combined with updated_at_lte parameter to receive only the selected period. New in version 2.6.0	[optional]
updated_at_lte	datetime	Returns objects less or equal the specified date. This can be combined with updated_at_gte parameter to receive only the selected period. New in version 2.6.0	[optional]
duration_gte	float	Returns objects greater than or equal to the specified values. This can be combined with duration_lte parameter to receive only the selected period.	[optional]
duration_lte	float	Returns objects less than or equal to the specified values. This can be combined with duration_gte parameter to receive only the selected range.	[optional]
state	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
pool	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
queue	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
executor	[str]	The value can be repeated to retrieve multiple matching values (OR condition).	[optional]
limit	int	The numbers of items to return.	[optional] if omitted the server will use the default value of 100
offset	int	The number of items to skip before starting to collect the result set.	[optional]

Return type

TaskInstanceCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-

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get_task_instances_batch

TaskInstanceCollection get_task_instances_batch(list_task_instance_form)

List task instances (batch)

List task instances from all DAGs and DAG runs. This endpoint is a POST to allow filtering across a large number of DAG IDs, where as a GET it would run in to maximum HTTP request URL length limits.

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_collection import TaskInstanceCollection
from airflow_client.client.model.list_task_instance_form import ListTaskInstanceForm
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    list_task_instance_form = ListTaskInstanceForm(
        dag_ids=[
            "dag_ids_example",
        ],
        dag_run_ids=[
            "dag_run_ids_example",
        ],
        duration_gte=3.14,
        duration_lte=3.14,
        end_date_gte=dateutil_parser('1970-01-01T00:00:00.00Z'),
        end_date_lte=dateutil_parser('1970-01-01T00:00:00.00Z'),
        execution_date_gte=dateutil_parser('1970-01-01T00:00:00.00Z'),
        execution_date_lte=dateutil_parser('1970-01-01T00:00:00.00Z'),
        executor=[
            "executor_example",
        ],
        pool=[
            "pool_example",
        ],
        queue=[
            "queue_example",
        ],
        start_date_gte=dateutil_parser('1970-01-01T00:00:00.00Z'),
        start_date_lte=dateutil_parser('1970-01-01T00:00:00.00Z'),
        state=[
            TaskState("state_example"),
        ],
        task_ids=[
            "task_ids_example",
        ],
    ) # ListTaskInstanceForm | 

    # example passing only required values which don't have defaults set
    try:
        # List task instances (batch)
        api_response = api_instance.get_task_instances_batch(list_task_instance_form)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->get_task_instances_batch: %s\n" % e)

Parameters

Name	Type	Description	Notes
list_task_instance_form	ListTaskInstanceForm

Return type

TaskInstanceCollection

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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patch_mapped_task_instance

TaskInstanceReference patch_mapped_task_instance(dag_id, dag_run_id, task_id, map_index)

Updates the state of a mapped task instance

Updates the state for single mapped task instance. New in version 2.5.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_reference import TaskInstanceReference
from airflow_client.client.model.update_task_instance import UpdateTaskInstance
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    map_index = 1 # int | The map index.
    update_task_instance = UpdateTaskInstance(
        dry_run=True,
        new_state=UpdateTaskState("success"),
    ) # UpdateTaskInstance | Parameters of action (optional)

    # example passing only required values which don't have defaults set
    try:
        # Updates the state of a mapped task instance
        api_response = api_instance.patch_mapped_task_instance(dag_id, dag_run_id, task_id, map_index)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->patch_mapped_task_instance: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Updates the state of a mapped task instance
        api_response = api_instance.patch_mapped_task_instance(dag_id, dag_run_id, task_id, map_index, update_task_instance=update_task_instance)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->patch_mapped_task_instance: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
map_index	int	The map index.
update_task_instance	UpdateTaskInstance	Parameters of action	[optional]

Return type

TaskInstanceReference

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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patch_task_instance

TaskInstanceReference patch_task_instance(dag_id, dag_run_id, task_id, update_task_instance)

Updates the state of a task instance

Updates the state for single task instance. New in version 2.5.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance_reference import TaskInstanceReference
from airflow_client.client.model.update_task_instance import UpdateTaskInstance
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    update_task_instance = UpdateTaskInstance(
        dry_run=True,
        new_state=UpdateTaskState("success"),
    ) # UpdateTaskInstance | Parameters of action

    # example passing only required values which don't have defaults set
    try:
        # Updates the state of a task instance
        api_response = api_instance.patch_task_instance(dag_id, dag_run_id, task_id, update_task_instance)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->patch_task_instance: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
update_task_instance	UpdateTaskInstance	Parameters of action

Return type

TaskInstanceReference

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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set_mapped_task_instance_note

TaskInstance set_mapped_task_instance_note(dag_id, dag_run_id, task_id, map_index, set_task_instance_note)

Update the TaskInstance note.

Update the manual user note of a mapped Task Instance. New in version 2.5.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance import TaskInstance
from airflow_client.client.model.set_task_instance_note import SetTaskInstanceNote
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    map_index = 1 # int | The map index.
    set_task_instance_note = SetTaskInstanceNote(
        note="note_example",
    ) # SetTaskInstanceNote | Parameters of set Task Instance note.

    # example passing only required values which don't have defaults set
    try:
        # Update the TaskInstance note.
        api_response = api_instance.set_mapped_task_instance_note(dag_id, dag_run_id, task_id, map_index, set_task_instance_note)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->set_mapped_task_instance_note: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
map_index	int	The map index.
set_task_instance_note	SetTaskInstanceNote	Parameters of set Task Instance note.

Return type

TaskInstance

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
400	Client specified an invalid argument.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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set_task_instance_note

TaskInstance set_task_instance_note(dag_id, dag_run_id, task_id, set_task_instance_note)

Update the TaskInstance note.

Update the manual user note of a non-mapped Task Instance. New in version 2.5.0

Example

• Basic Authentication (Basic):

import time
import airflow_client.client
from airflow_client.client.api import task_instance_api
from airflow_client.client.model.error import Error
from airflow_client.client.model.task_instance import TaskInstance
from airflow_client.client.model.set_task_instance_note import SetTaskInstanceNote
from pprint import pprint
# Defining the host is optional and defaults to /api/v1
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "/api/v1"
)

# 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.

# Configure HTTP basic authorization: Basic
configuration = airflow_client.client.Configuration(
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD'
)

# 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 = task_instance_api.TaskInstanceApi(api_client)
    dag_id = "dag_id_example" # str | The DAG ID.
    dag_run_id = "dag_run_id_example" # str | The DAG run ID.
    task_id = "task_id_example" # str | The task ID.
    set_task_instance_note = SetTaskInstanceNote(
        note="note_example",
    ) # SetTaskInstanceNote | Parameters of set Task Instance note.

    # example passing only required values which don't have defaults set
    try:
        # Update the TaskInstance note.
        api_response = api_instance.set_task_instance_note(dag_id, dag_run_id, task_id, set_task_instance_note)
        pprint(api_response)
    except airflow_client.client.ApiException as e:
        print("Exception when calling TaskInstanceApi->set_task_instance_note: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str	The DAG ID.
dag_run_id	str	The DAG run ID.
task_id	str	The task ID.
set_task_instance_note	SetTaskInstanceNote	Parameters of set Task Instance note.

Return type

TaskInstance

Authorization

Basic, Kerberos

HTTP request headers

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

HTTP response details

Status code	Description	Response headers
200	Success.	-
400	Client specified an invalid argument.	-
401	Request not authenticated due to missing, invalid, authentication info.	-
403	Client does not have sufficient permission.	-
404	A specified resource is not found.	-

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