AIP-72: Allow retrieving Variable from Task Context

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named {pr_number}.significant.rst or {issue_number}.significant.rst, in newsfragments.

[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.

[amoghrajesh]

closes: #45421

Summary of changes

1. Added a minimal Variable user-facing definition which will be used in DAG files by DAG authors
2. Added logic to get Variables in the context - both in "value" and "json" format

• "value" is the raw form
• "json" is the deserialised json form, we are trying to keep the contract between SDK and API server simple, they interact only in strings and the responsibility of serialising + deserialising lies on the client before sending it to the task sdk, not on the API server. This will enable multi language support too.

Object Glossary

-VariableResponse is auto-generated and tightly coupled with the API schema.
-VariableResult is runtime-specific and meant for internal communication between Supervisor & Task Runner.
-Variable class here is where the public-facing, user-relevant aspects are exposed, hiding internal details.

Testing

DAG:

from __future__ import annotations
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import dag
class CustomOperator(BaseOperator):
def execute(self, context):
import os
os.environ["AIRFLOW_VAR_HI_MESSAGE"] = "hello_world"
os.environ["AIRFLOW_VAR_JSON_VAR"] = "{\r\n \"key1\": \"value1\",\r\n \"key2\": \"value2\",\r\n \"enabled\": true,\r\n \"threshold\": 42\r\n}"
task_id = context["task_instance"].task_id
print(f"Hello World {task_id}!")
print(context)
print(context["var"]["value"].hi_message)
print(context["var"]["json"].json_var)
@dag()
def var_from_context():
CustomOperator(task_id="hello")
var_from_context()

This dag tests both the scenarios of a regular value context as well as json.

Case1: Variables found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:37:34.612546 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.613168 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.616934 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:37:34.617131 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:37:34.641905 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:37:34.642284 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:37:34.642393 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:37:34.037857+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9e-dadf-72eb-a47b-6c36e0fea3b7'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:37:34.037857+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 37, 34, 492777, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 37, 34, 37857, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:37:34.037857+00:00', 'ts_nodash': '20250106T123734', 'ts_nodash_with_tz': '20250106T123734.037857+0000'} [task] chan=stdout
2025-01-06 12:37:34.642268 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:37:34.648998 [info ] Variable(key='hi_message', value='hello_world', description=None) [task] chan=stdout
2025-01-06 12:37:34.649000 [debug ] Sending request [task] json={"key":"json_var","type":"GetVariable"}
2025-01-06 12:37:34.652506 [warning ] Pydantic serializer warnings:
Expected `str` but got `dict` with value `{'api_key': '12345', 'region': 'us-east-1'}` - serialized value may not be as expected [py.warnings] category=UserWarning filename=/usr/local/lib/python3.9/site-packages/pydantic/main.py lineno=426
2025-01-06 12:37:34.652586 [debug ] Sending request [task] json={"state":"success","end_date":"2025-01-06T12:37:34.652550Z","type":"TaskState"}
2025-01-06 12:37:34.652845 [info ] Variable(key='json_var', value={'api_key': '12345', 'region': 'us-east-1'}, description=None) [task] chan=stdout

Case 2: Variable not found

Logs:

2c27ff9a5949
▶ Log message source details
2025-01-06 12:34:57.712062 [info ] Filling up the DagBag from /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.712579 [debug ] Importing /files/dags/var_from_context.py [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717120 [debug ] Loaded DAG <DAG: var_from_context> [airflow.models.dagbag.DagBag]
2025-01-06 12:34:57.717434 [debug ] DAG file parsed [task] file=/files/dags/var_from_context.py
2025-01-06 12:34:57.743903 [warning ] CustomOperator.execute cannot be called outside TaskInstance! [airflow.task.operators.unusual_prefix_c6632fd34e048ff55a9057c21ee5a54c16b99828_var_from_context.CustomOperator]
2025-01-06 12:34:57.744163 [info ] Hello World hello! [task] chan=stdout
2025-01-06 12:34:57.744270 [info ] {'dag': <DAG: var_from_context>, 'inlets': [], 'map_index_template': None, 'outlets': [], 'run_id': 'manual__2025-01-06T12:34:56.856856+00:00', 'task': <Task(CustomOperator): hello>, 'task_instance': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'ti': RuntimeTaskInstance(id=UUID('01943b9c-74e4-7b93-ba7e-7401dde98944'), task_id='hello', dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', try_number=1, map_index=-1, task=<Task(CustomOperator): hello>), 'var': {'json': <VariableAccessor (dynamic access)>, 'value': <VariableAccessor (dynamic access)>}, 'conn': <ConnectionAccessor (dynamic access)>, 'dag_run': DagRun(dag_id='var_from_context', run_id='manual__2025-01-06T12:34:56.856856+00:00', logical_date=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_start=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), data_interval_end=datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), start_date=datetime.datetime(2025, 1, 6, 12, 34, 57, 589490, tzinfo=TzInfo(UTC)), end_date=None, run_type=<DagRunType.MANUAL: 'manual'>, conf={}), 'data_interval_end': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'data_interval_start': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'logical_date': datetime.datetime(2025, 1, 6, 12, 34, 56, 856856, tzinfo=TzInfo(UTC)), 'ds': '2025-01-06', 'ds_nodash': '20250106', 'task_instance_key_str': 'var_from_context__hello__20250106', 'ts': '2025-01-06T12:34:56.856856+00:00', 'ts_nodash': '20250106T123456', 'ts_nodash_with_tz': '20250106T123456.856856+0000'} [task] chan=stdout
2025-01-06 12:34:57.744177 [debug ] Sending request [task] json={"key":"hi_message","type":"GetVariable"}
2025-01-06 12:34:57.749149 [debug ] Sending request [task] json={"state":"failed","end_date":"2025-01-06T12:34:57.749108Z","type":"TaskState"}

TODO:

• Writing variables from task SDK

---

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[kaxil]

Few nits but lgtm

[amoghrajesh]

Unrelated failure. Merging.