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test_dagbuilder.py
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test_dagbuilder.py
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import datetime
import functools
import os
from pathlib import Path
from unittest.mock import mock_open, patch
import pendulum
import pytest
from airflow import DAG
from packaging import version
from dagfactory.dagbuilder import Dataset
try:
from airflow.providers.http.sensors.http import HttpSensor
except ImportError:
from airflow.sensors.http_sensor import HttpSensor
try:
from airflow.sensors.sql_sensor import SqlSensor
except ImportError:
from airflow.providers.common.sql.sensors.sql import SqlSensor
try:
from airflow.operators.bash import BashOperator
except ImportError:
from airflow.operators.bash_operator import BashOperator
try:
from airflow.operators.python import PythonOperator
except ImportError:
from airflow.operators.python_operator import PythonOperator
try:
from airflow.version import version as AIRFLOW_VERSION
except ImportError:
from airflow import __version__ as AIRFLOW_VERSION
from dagfactory import dagbuilder
if version.parse(AIRFLOW_VERSION) >= version.parse("2.3.0"):
from airflow.models import MappedOperator
else:
MappedOperator = None
# pylint: disable=ungrouped-imports,invalid-name
here = Path(__file__).parent
PROJECT_ROOT_PATH = str(here.parent)
DEFAULT_CONFIG = {
"default_args": {
"owner": "default_owner",
"start_date": datetime.date(2018, 3, 1),
"end_date": datetime.date(2018, 3, 5),
"retries": 1,
"retry_delay_sec": 300,
},
"concurrency": 1,
"max_active_runs": 1,
"dagrun_timeout_sec": 600,
"schedule_interval": "0 1 * * *",
}
DAG_CONFIG = {
"doc_md": "##here is a doc md string",
"default_args": {"owner": "custom_owner"},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"tags": ["tag1", "tag2"],
"render_template_as_native_obj": True,
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"dependencies": ["task_1"],
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"dependencies": ["task_1"],
},
},
}
DAG_CONFIG_TASK_GROUP = {
"default_args": {"owner": "custom_owner"},
"schedule_interval": "0 3 * * *",
"task_groups": {
"task_group_1": {
"tooltip": "this is a task group",
"dependencies": ["task_1"],
},
"task_group_2": {
"dependencies": ["task_group_1"],
},
"task_group_3": {},
},
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"task_group_name": "task_group_1",
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"task_group_name": "task_group_1",
"dependencies": ["task_2"],
},
"task_4": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 4",
"dependencies": ["task_group_1"],
},
"task_5": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 5",
"task_group_name": "task_group_2",
},
"task_6": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 6",
"task_group_name": "task_group_2",
"dependencies": ["task_5"],
},
},
}
DAG_CONFIG_DYNAMIC_TASK_MAPPING = {
"default_args": {"owner": "custom_owner"},
"description": "This is an example dag with dynamic task mapping",
"schedule_interval": "0 4 * * *",
"tasks": {
"request": {
"operator": "airflow.operators.python_operator.PythonOperator",
"python_callable_name": "example_task_mapping",
"python_callable_file": os.path.realpath(__file__),
},
"process_1": {
"operator": "airflow.operators.python_operator.PythonOperator",
"python_callable_name": "expand_task",
"python_callable_file": os.path.realpath(__file__),
"partial": {"op_kwargs": {"test_id": "test"}},
"expand": {"op_args": {"request_output": "request.output"}},
},
},
}
DAG_CONFIG_CALLBACK = {
"doc_md": "##here is a doc md string",
"default_args": {
"owner": "custom_owner",
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"on_execute_callback": f"{__name__}.print_context_callback",
"on_retry_callback": f"{__name__}.print_context_callback",
},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"tags": ["tag1", "tag2"],
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"sla_miss_callback": f"{__name__}.print_context_callback",
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"on_execute_callback": f"{__name__}.print_context_callback",
"on_retry_callback": f"{__name__}.print_context_callback",
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"dependencies": ["task_1"],
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"on_execute_callback": f"{__name__}.print_context_callback",
"on_retry_callback": f"{__name__}.print_context_callback",
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"dependencies": ["task_1"],
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"on_execute_callback": f"{__name__}.print_context_callback",
"on_retry_callback": f"{__name__}.print_context_callback",
},
},
}
DAG_CONFIG_CALLBACK_NAME_AND_FILE = {
"doc_md": "##here is a doc md string",
"default_args": {
"owner": "custom_owner",
},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"tags": ["tag1", "tag2"],
"on_failure_callback_name": "print_context_callback",
"on_failure_callback_file": __file__,
"on_success_callback_name": "print_context_callback",
"on_success_callback_file": __file__,
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"dependencies": ["task_1"],
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"dependencies": ["task_1"],
},
},
}
DAG_CONFIG_CALLBACK_NAME_AND_FILE_DEFAULT_ARGS = {
"doc_md": "##here is a doc md string",
"default_args": {
"owner": "custom_owner",
"on_failure_callback_name": "print_context_callback",
"on_failure_callback_file": __file__,
"on_success_callback_name": "print_context_callback",
"on_success_callback_file": __file__,
},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"tags": ["tag1", "tag2"],
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"dependencies": ["task_1"],
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"dependencies": ["task_1"],
},
},
}
# Alternative way to define callbacks (only "on_failure_callbacks" for now, more to come)
DAG_CONFIG_CALLBACK_WITH_PARAMETERS = {
"doc_md": "##here is a doc md string",
"default_args": {
"owner": "custom_owner",
"on_failure_callback": {
"callback": f"{__name__}.empty_callback_with_params",
"param_1": "value_1",
"param_2": "value_2",
},
},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"tags": ["tag1", "tag2"],
"on_failure_callback": {
"callback": f"{__name__}.empty_callback_with_params",
"param_1": "value_1",
"param_2": "value_2",
},
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
},
},
}
DAG_CONFIG_PROVIDER_CALLBACK_WITH_PARAMETERS = {
"doc_md": "##here is a doc md string",
"default_args": {
"owner": "custom_owner",
"on_failure_callback": {
"callback": "airflow.providers.slack.notifications.slack.send_slack_notification",
"slack_conn_id": "slack_conn_id",
"text": f"""
Sample, multi-line callback text.
""",
"channel": "#channel",
"username": "username",
},
},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"tags": ["tag1", "tag2"],
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
},
},
}
UTC = pendulum.timezone("UTC")
DAG_CONFIG_TASK_GROUP_WITH_CALLBACKS = {
"default_args": {"owner": "custom_owner"},
"schedule_interval": "0 3 * * *",
"task_groups": {
"task_group_1": {
"tooltip": "this is a task group",
"default_args": {
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"on_execute_callback": f"{__name__}.print_context_callback",
"on_retry_callback": f"{__name__}.print_context_callback",
},
},
},
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"task_group_name": "task_group_1",
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"task_group_name": "task_group_1",
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"task_group_name": "task_group_1",
"dependencies": ["task_2"],
},
"task_4": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 4",
"dependencies": ["task_group_1"],
},
},
}
class MockTaskGroup:
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
class MockPythonOperator(MockTaskGroup):
"""
Mock PythonOperator
"""
def test_get_dag_params():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
expected = {
"doc_md": "##here is a doc md string",
"dag_id": "test_dag",
"default_args": {
"owner": "custom_owner",
"start_date": datetime.datetime(2018, 3, 1, 0, 0, tzinfo=UTC),
"end_date": datetime.datetime(2018, 3, 5, 0, 0, tzinfo=UTC),
"retries": 1,
"retry_delay": datetime.timedelta(seconds=300),
},
"description": "this is an example dag",
"schedule_interval": "0 3 * * *",
"concurrency": 1,
"max_active_runs": 1,
"dagrun_timeout": datetime.timedelta(seconds=600),
"render_template_as_native_obj": True,
"tags": ["tag1", "tag2"],
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"dependencies": ["task_1"],
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"dependencies": ["task_1"],
},
},
}
actual = td.get_dag_params()
assert actual == expected
def test_get_dag_params_no_start_date():
td = dagbuilder.DagBuilder("test_dag", {}, {})
with pytest.raises(Exception):
td.get_dag_params()
def test_make_task_valid():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.bash_operator.BashOperator"
task_params = {
"task_id": "test_task",
"bash_command": "echo 1",
"execution_timeout_secs": 5,
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert actual.bash_command == "echo 1"
assert isinstance(actual, BashOperator)
def test_make_task_bad_operator():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "not_real"
task_params = {"task_id": "test_task", "bash_command": "echo 1"}
with pytest.raises(Exception):
td.make_task(operator, task_params)
def test_make_task_missing_required_param():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.bash_operator.BashOperator"
task_params = {"task_id": "test_task"}
with pytest.raises(Exception):
td.make_task(operator, task_params)
def print_test():
print("test")
def expand_task(x, test_id):
print(test_id)
print(x)
return [x]
def example_task_mapping():
return [[1], [2], [3]]
def test_make_python_operator():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.python_operator.PythonOperator"
task_params = {
"task_id": "test_task",
"python_callable_name": "print_test",
"python_callable_file": os.path.realpath(__file__),
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.python_callable)
assert isinstance(actual, PythonOperator)
def test_make_python_operator_with_callable_str():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.python_operator.PythonOperator"
task_params = {
"task_id": "test_task",
"python_callable": "builtins.print",
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.python_callable)
assert isinstance(actual, PythonOperator)
def test_make_python_operator_missing_param():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.python_operator.PythonOperator"
task_params = {"task_id": "test_task", "python_callable_name": "print_test"}
with pytest.raises(Exception):
td.make_task(operator, task_params)
def test_make_python_operator_missing_params():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.python_operator.PythonOperator"
task_params = {"task_id": "test_task"}
with pytest.raises(Exception):
td.make_task(operator, task_params)
def test_make_http_sensor():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.http_sensor.HttpSensor"
task_params = {
"task_id": "test_task",
"http_conn_id": "test-http",
"method": "GET",
"endpoint": "",
"response_check_name": "print_test",
"response_check_file": os.path.realpath(__file__),
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.response_check)
assert isinstance(actual, HttpSensor)
def test_make_http_sensor_lambda():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.http_sensor.HttpSensor"
task_params = {
"task_id": "test_task",
"http_conn_id": "test-http",
"method": "GET",
"endpoint": "",
"response_check_lambda": 'lambda response: "ok" in response.text',
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.response_check)
assert isinstance(actual, HttpSensor)
def test_make_sql_sensor_success():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.sql_sensor.SqlSensor"
task_params = {
"task_id": "test_task",
"conn_id": "test-sql",
"sql": "SELECT 1 AS status;",
"success_check_name": "print_test",
"success_check_file": os.path.realpath(__file__),
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.success)
assert isinstance(actual, SqlSensor)
def test_make_sql_sensor_success_lambda():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.sql_sensor.SqlSensor"
task_params = {
"task_id": "test_task",
"conn_id": "test-sql",
"sql": "SELECT 1 AS status;",
"success_check_lambda": "lambda res: res > 0",
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.success)
assert isinstance(actual, SqlSensor)
def test_make_sql_sensor_failure():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.sql_sensor.SqlSensor"
task_params = {
"task_id": "test_task",
"conn_id": "test-sql",
"sql": "SELECT 1 AS status;",
"failure_check_name": "print_test",
"failure_check_file": os.path.realpath(__file__),
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert not callable(actual.success)
assert callable(actual.failure)
assert isinstance(actual, SqlSensor)
def test_make_sql_sensor_failure_lambda():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.sql_sensor.SqlSensor"
task_params = {
"task_id": "test_task",
"conn_id": "test-sql",
"sql": "SELECT 1 AS status;",
"failure_check_lambda": "lambda res: res > 0",
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert not callable(actual.success)
assert callable(actual.failure)
assert isinstance(actual, SqlSensor)
def test_make_http_sensor_missing_param():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.sensors.http_sensor.HttpSensor"
task_params = {
"task_id": "test_task",
"http_conn_id": "test-http",
"method": "GET",
"endpoint": "",
"response_check_name": "print_test",
}
with pytest.raises(Exception):
td.make_task(operator, task_params)
def test_build():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
actual = td.build()
assert actual["dag_id"] == "test_dag"
assert isinstance(actual["dag"], DAG)
assert len(actual["dag"].tasks) == 3
assert actual["dag"].task_dict["task_1"].downstream_task_ids == {"task_2", "task_3"}
if version.parse(AIRFLOW_VERSION) >= version.parse("1.10.8"):
assert actual["dag"].tags == ["tag1", "tag2", "dagfactory"]
def test_get_dag_params_dag_with_task_group():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_TASK_GROUP, DEFAULT_CONFIG)
expected = {
"default_args": {
"owner": "custom_owner",
"start_date": datetime.datetime(2018, 3, 1, 0, 0, tzinfo=UTC),
"end_date": datetime.datetime(2018, 3, 5, 0, 0, tzinfo=UTC),
"retries": 1,
"retry_delay": datetime.timedelta(seconds=300),
},
"schedule_interval": "0 3 * * *",
"task_groups": {
"task_group_1": {
"tooltip": "this is a task group",
"dependencies": ["task_1"],
},
"task_group_2": {"dependencies": ["task_group_1"]},
"task_group_3": {},
},
"tasks": {
"task_1": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 1",
},
"task_2": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 2",
"task_group_name": "task_group_1",
},
"task_3": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 3",
"task_group_name": "task_group_1",
"dependencies": ["task_2"],
},
"task_4": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 4",
"dependencies": ["task_group_1"],
},
"task_5": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 5",
"task_group_name": "task_group_2",
},
"task_6": {
"operator": "airflow.operators.bash_operator.BashOperator",
"bash_command": "echo 6",
"task_group_name": "task_group_2",
"dependencies": ["task_5"],
},
},
"concurrency": 1,
"max_active_runs": 1,
"dag_id": "test_dag",
"dagrun_timeout": datetime.timedelta(seconds=600),
}
if version.parse(AIRFLOW_VERSION) < version.parse("2.0.0"):
error_message = "`task_groups` key can only be used with Airflow 2.x.x"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
else:
assert td.get_dag_params() == expected
def test_build_task_groups():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_TASK_GROUP, DEFAULT_CONFIG)
if version.parse(AIRFLOW_VERSION) < version.parse("2.0.0"):
error_message = "`task_groups` key can only be used with Airflow 2.x.x"
with pytest.raises(Exception, match=error_message):
td.build()
else:
actual = td.build()
task_group_1 = {t for t in actual["dag"].task_dict if t.startswith("task_group_1")}
task_group_2 = {t for t in actual["dag"].task_dict if t.startswith("task_group_2")}
assert actual["dag_id"] == "test_dag"
assert isinstance(actual["dag"], DAG)
assert len(actual["dag"].tasks) == 6
assert actual["dag"].task_dict["task_1"].downstream_task_ids == {"task_group_1.task_2"}
assert actual["dag"].task_dict["task_group_1.task_2"].downstream_task_ids == {"task_group_1.task_3"}
assert actual["dag"].task_dict["task_group_1.task_3"].downstream_task_ids == {
"task_4",
"task_group_2.task_5",
}
assert actual["dag"].task_dict["task_group_2.task_5"].downstream_task_ids == {
"task_group_2.task_6",
}
assert {"task_group_1.task_2", "task_group_1.task_3"} == task_group_1
assert {"task_group_2.task_5", "task_group_2.task_6"} == task_group_2
def test_build_task_groups_with_callbacks():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_TASK_GROUP_WITH_CALLBACKS, DEFAULT_CONFIG)
if version.parse(AIRFLOW_VERSION) < version.parse("2.2.0"):
error_message = "`task_groups` key can only be used with Airflow 2.x.x"
with pytest.raises(Exception, match=error_message):
td.build()
else:
actual = td.build()
assert actual["dag_id"] == "test_dag"
assert isinstance(actual["dag"], DAG)
assert callable(
actual["dag"].task_group.get_task_group_dict()["task_group_1"].default_args["on_failure_callback"]
)
assert callable(
actual["dag"].task_group.get_task_group_dict()["task_group_1"].default_args["on_execute_callback"]
)
assert callable(
actual["dag"].task_group.get_task_group_dict()["task_group_1"].default_args["on_success_callback"]
)
assert callable(
actual["dag"].task_group.get_task_group_dict()["task_group_1"].default_args["on_retry_callback"]
)
@patch("dagfactory.dagbuilder.TaskGroup", new=MockTaskGroup)
def test_make_task_groups():
task_group_dict = {
"task_group": {
"tooltip": "this is a task group",
},
}
dag = "dag"
task_groups = dagbuilder.DagBuilder.make_task_groups(task_group_dict, dag)
expected = MockTaskGroup(tooltip="this is a task group", group_id="task_group", dag=dag)
if version.parse(AIRFLOW_VERSION) < version.parse("2.0.0"):
assert task_groups == {}
else:
assert task_groups["task_group"].__dict__ == expected.__dict__
def test_make_task_groups_empty():
task_groups = dagbuilder.DagBuilder.make_task_groups({}, None)
assert task_groups == {}
def print_context_callback(context, **kwargs):
print(context)
def empty_callback_with_params(context, param_1, param_2, **kwargs):
# Context is the first parameter passed into the callback
print(param_1)
print(param_2)
def test_make_task_with_callback():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
operator = "airflow.operators.python_operator.PythonOperator"
task_params = {
"task_id": "test_task",
"python_callable_name": "print_test",
"python_callable_file": os.path.realpath(__file__),
"on_failure_callback": f"{__name__}.print_context_callback",
"on_success_callback": f"{__name__}.print_context_callback",
"on_execute_callback": f"{__name__}.print_context_callback",
"on_retry_callback": f"{__name__}.print_context_callback",
}
actual = td.make_task(operator, task_params)
assert actual.task_id == "test_task"
assert callable(actual.python_callable)
assert isinstance(actual, PythonOperator)
assert callable(actual.on_failure_callback)
assert callable(actual.on_success_callback)
if version.parse(AIRFLOW_VERSION) >= version.parse("2.0.0"):
assert callable(actual.on_execute_callback)
assert callable(actual.on_retry_callback)
@pytest.mark.callbacks
def test_dag_with_callback_name_and_file():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_CALLBACK_NAME_AND_FILE, DEFAULT_CONFIG)
dag = td.build().get("dag")
# Verify that the callbacks have been set up properly per DAG after specifying:
# - 'on_success_callback_file' & 'on_success_callback_name' for 'on_success_callback'
# - 'on_failure_callback_file' & 'on_failure_callback_name' for 'on_failure_callback'
assert "on_success_callback" in td.dag_config
assert "on_failure_callback" in td.dag_config
assert callable(td.dag_config["on_success_callback"])
assert callable(td.dag_config["on_failure_callback"])
assert td.dag_config["on_success_callback"].__name__ == "print_context_callback"
assert td.dag_config["on_success_callback"].__name__ == "print_context_callback"
# Ensure that no callbacks were directly provided at the task level.
for td_task_id, td_task in dag.task_dict.items():
assert not callable(td_task.on_success_callback)
assert not callable(td_task.on_failure_callback)
@pytest.mark.callbacks
def test_dag_with_callback_name_and_file_default_args():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_CALLBACK_NAME_AND_FILE_DEFAULT_ARGS, DEFAULT_CONFIG)
dag = td.build().get("dag")
# Verify that the callbacks have been set up properly per DAG and tasks after specifying through default_args:
# - 'on_success_callback_file' & 'on_success_callback_name' for 'on_success_callback'
# - 'on_failure_callback_file' & 'on_failure_callback_name' for 'on_failure_callback'
td_default_args = td.dag_config.get("default_args")
assert "on_success_callback" in td_default_args
assert "on_failure_callback" in td_default_args
assert callable(td_default_args["on_success_callback"])
assert callable(td_default_args["on_failure_callback"])
for td_task_id, td_task in dag.task_dict.items():
assert callable(td_task.on_success_callback)
assert callable(td_task.on_failure_callback)
assert td_task.on_success_callback.__name__ == "print_context_callback"
assert td_task.on_success_callback.__name__ == "print_context_callback"
def test_make_timetable():
if version.parse(AIRFLOW_VERSION) >= version.parse("2.0.0"):
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG, DEFAULT_CONFIG)
timetable = "airflow.timetables.interval.CronDataIntervalTimetable"
timetable_params = {"cron": "0 8,16 * * 1-5", "timezone": "UTC"}
actual = td.make_timetable(timetable, timetable_params)
assert actual.periodic
try:
assert actual.can_run
except AttributeError:
# can_run attribute was removed and replaced with can_be_scheduled in later versions of Airflow.
assert actual.can_be_scheduled
def test_make_dag_with_callback():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_CALLBACK, DEFAULT_CONFIG)
td.build()
@pytest.mark.callbacks
@pytest.mark.parametrize(
"callback_type,in_default_args", [("on_failure_callback", False), ("on_failure_callback", True)]
)
def test_dag_with_on_callback_str(callback_type, in_default_args):
# Using a different config (DAG_CONFIG_CALLBACK) than below
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_CALLBACK, DEFAULT_CONFIG)
td.build()
config_obj = td.dag_config.get("default_args") if in_default_args else td.dag_config
# Validate the .set_callback() method works as expected when importing a string,
assert callback_type in config_obj
assert callable(config_obj.get(callback_type))
assert config_obj.get(callback_type).__name__ == "print_context_callback"
@pytest.mark.callbacks
@pytest.mark.parametrize(
"callback_type,in_default_args", [("on_failure_callback", False), ("on_failure_callback", True)]
)
def test_dag_with_on_callback_and_params(callback_type, in_default_args):
# Import the DAG using the callback config that was build above
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_CALLBACK_WITH_PARAMETERS, DEFAULT_CONFIG)
td.build()
config_obj = td.dag_config.get("default_args") if in_default_args else td.dag_config
# Check to see if callback_type is in the DAG config, and the type of value that is returned, pull the callback
assert callback_type in config_obj
on_callback: functools.partial = config_obj.get(callback_type)
assert isinstance(on_callback, functools.partial)
assert callable(on_callback)
assert on_callback.func.__name__ == "empty_callback_with_params"
# Parameters
assert "param_1" in on_callback.keywords
assert on_callback.keywords.get("param_1") == "value_1"
assert "param_2" in on_callback.keywords
assert on_callback.keywords.get("param_2") == "value_2"
@pytest.mark.callbacks
def test_dag_with_provider_callback():
if version.parse(AIRFLOW_VERSION) >= version.parse("2.6.0"):
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_PROVIDER_CALLBACK_WITH_PARAMETERS, DEFAULT_CONFIG)
td.build()
# Check to see if the on_failure_callback exists and that it's a callback
assert td.dag_config.get("default_args").get("on_failure_callback")
on_failure_callback = td.dag_config.get("default_args").get("on_failure_callback")
assert callable(on_failure_callback)
# Check values
assert on_failure_callback.slack_conn_id == "slack_conn_id"
assert on_failure_callback.channel == "#channel"
assert on_failure_callback.username == "username"
def test_get_dag_params_with_template_searchpath():
from dagfactory import utils
td = dagbuilder.DagBuilder("test_dag", {"template_searchpath": ["./sql"]}, DEFAULT_CONFIG)
error_message = "template_searchpath must be absolute paths"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
td = dagbuilder.DagBuilder("test_dag", {"template_searchpath": ["/sql"]}, DEFAULT_CONFIG)
error_message = "template_searchpath must be existing paths"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
td = dagbuilder.DagBuilder("test_dag", {"template_searchpath": "./sql"}, DEFAULT_CONFIG)
error_message = "template_searchpath must be absolute paths"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
td = dagbuilder.DagBuilder("test_dag", {"template_searchpath": "/sql"}, DEFAULT_CONFIG)
error_message = "template_searchpath must be existing paths"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
assert utils.check_template_searchpath(123) == False
assert utils.check_template_searchpath(PROJECT_ROOT_PATH) == True
assert utils.check_template_searchpath([PROJECT_ROOT_PATH]) == True
def test_get_dag_params_with_render_template_as_native_obj():
td = dagbuilder.DagBuilder("test_dag", {"render_template_as_native_obj": "true"}, DEFAULT_CONFIG)
error_message = "render_template_as_native_obj should be bool type!"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
false = lambda x: print(x)
td = dagbuilder.DagBuilder("test_dag", {"render_template_as_native_obj": false}, DEFAULT_CONFIG)
error_message = "render_template_as_native_obj should be bool type!"
with pytest.raises(Exception, match=error_message):
td.get_dag_params()
def test_make_task_with_duplicated_partial_kwargs():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_DYNAMIC_TASK_MAPPING, DEFAULT_CONFIG)
operator = "airflow.operators.bash_operator.BashOperator"
task_params = {
"task_id": "task_bash",
"bash_command": "echo 2",
"partial": {"bash_command": "echo 4"},
}
with pytest.raises(Exception):
td.make_task(operator, task_params)
def test_dynamic_task_mapping():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_DYNAMIC_TASK_MAPPING, DEFAULT_CONFIG)
if version.parse(AIRFLOW_VERSION) < version.parse("2.3.0"):
error_message = "Dynamic task mapping available only in Airflow >= 2.3.0"
with pytest.raises(Exception, match=error_message):
td.build()
else:
operator = "airflow.operators.python_operator.PythonOperator"
task_params = {
"task_id": "process",
"python_callable_name": "expand_task",
"python_callable_file": os.path.realpath(__file__),
"partial": {"op_kwargs": {"test_id": "test"}},
"expand": {"op_args": {"request_output": "request.output"}},
}
actual = td.make_task(operator, task_params)
assert isinstance(actual, MappedOperator)
def test_replace_expand_string_with_xcom():
td = dagbuilder.DagBuilder("test_dag", DAG_CONFIG_DYNAMIC_TASK_MAPPING, DEFAULT_CONFIG)
if version.parse(AIRFLOW_VERSION) < version.parse("2.3.0"):
with pytest.raises(Exception):
td.build()
else:
from airflow.models.xcom_arg import XComArg
task_conf_output = {"expand": {"key_1": "task_1.output"}}