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| 1 | +# Licensed to the Apache Software Foundation (ASF) under one |
| 2 | +# or more contributor license agreements. See the NOTICE file |
| 3 | +# distributed with this work for additional information |
| 4 | +# regarding copyright ownership. The ASF licenses this file |
| 5 | +# to you under the Apache License, Version 2.0 (the |
| 6 | +# "License"); you may not use this file except in compliance |
| 7 | +# with the License. You may obtain a copy of the License at |
| 8 | +# |
| 9 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +# |
| 11 | +# Unless required by applicable law or agreed to in writing, |
| 12 | +# software distributed under the License is distributed on an |
| 13 | +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 14 | +# KIND, either express or implied. See the License for the |
| 15 | +# specific language governing permissions and limitations |
| 16 | +# under the License. |
| 17 | + |
| 18 | +from __future__ import annotations |
| 19 | + |
| 20 | +from datetime import datetime, timezone |
| 21 | + |
| 22 | +import pytest |
| 23 | + |
| 24 | +from airflow.api_fastapi.common.db.dags import generate_dag_with_latest_run_query |
| 25 | +from airflow.api_fastapi.common.parameters import SortParam |
| 26 | +from airflow.models import DagModel |
| 27 | +from airflow.models.dagrun import DagRun |
| 28 | +from airflow.utils.state import DagRunState |
| 29 | +from airflow.utils.timezone import utcnow |
| 30 | + |
| 31 | +from tests_common.test_utils.db import clear_db_dags, clear_db_runs |
| 32 | + |
| 33 | +pytestmark = pytest.mark.db_test |
| 34 | + |
| 35 | + |
| 36 | +class TestGenerateDagWithLatestRunQuery: |
| 37 | + """Unit tests for generate_dag_with_latest_run_query function.""" |
| 38 | + |
| 39 | + @staticmethod |
| 40 | + def _clear_db(): |
| 41 | + clear_db_runs() |
| 42 | + clear_db_dags() |
| 43 | + |
| 44 | + @pytest.fixture(autouse=True) |
| 45 | + def setup_teardown(self): |
| 46 | + """Setup and teardown for each test.""" |
| 47 | + self._clear_db() |
| 48 | + yield |
| 49 | + self._clear_db() |
| 50 | + |
| 51 | + @pytest.fixture |
| 52 | + def dag_with_queued_run(self, session): |
| 53 | + """Returns a DAG with a QUEUED DagRun and null start_date.""" |
| 54 | + |
| 55 | + dag_id = "dag_with_queued_run" |
| 56 | + |
| 57 | + # Create DagModel |
| 58 | + dag_model = DagModel( |
| 59 | + dag_id=dag_id, |
| 60 | + is_stale=False, |
| 61 | + is_paused=False, |
| 62 | + fileloc="/tmp/dag.py", |
| 63 | + ) |
| 64 | + session.add(dag_model) |
| 65 | + session.flush() |
| 66 | + |
| 67 | + # Create DagRun with start_date=None (QUEUED state) |
| 68 | + dagrun = DagRun( |
| 69 | + dag_id=dag_id, |
| 70 | + run_id="manual__queued", |
| 71 | + run_type="manual", |
| 72 | + logical_date=utcnow(), |
| 73 | + state=DagRunState.QUEUED, |
| 74 | + start_date=None, |
| 75 | + ) |
| 76 | + session.add(dagrun) |
| 77 | + session.commit() |
| 78 | + |
| 79 | + return dag_model, dagrun |
| 80 | + |
| 81 | + @pytest.fixture |
| 82 | + def dag_with_running_run(self, session): |
| 83 | + """Returns a DAG with a RUNNING DagRun and a valid start_date.""" |
| 84 | + |
| 85 | + dag_id = "dag_with_running_run" |
| 86 | + |
| 87 | + # Create DagModel |
| 88 | + dag_model = DagModel( |
| 89 | + dag_id=dag_id, |
| 90 | + is_stale=False, |
| 91 | + is_paused=False, |
| 92 | + fileloc="/tmp/dag2.py", |
| 93 | + ) |
| 94 | + session.add(dag_model) |
| 95 | + session.flush() |
| 96 | + |
| 97 | + # Create DagRun with start_date set (RUNNING state) |
| 98 | + start_time = utcnow() |
| 99 | + dagrun = DagRun( |
| 100 | + dag_id=dag_id, |
| 101 | + run_id="manual__running", |
| 102 | + run_type="manual", |
| 103 | + logical_date=start_time, |
| 104 | + state=DagRunState.RUNNING, |
| 105 | + start_date=start_time, |
| 106 | + ) |
| 107 | + session.add(dagrun) |
| 108 | + session.commit() |
| 109 | + |
| 110 | + return dag_model, dagrun |
| 111 | + |
| 112 | + def test_includes_queued_run_without_start_date(self, dag_with_queued_run, session): |
| 113 | + """DAGs with QUEUED runs and null start_date should be included when no filters are applied, and joined DagRun state must not be None.""" |
| 114 | + dag_model, _ = dag_with_queued_run |
| 115 | + query = generate_dag_with_latest_run_query( |
| 116 | + max_run_filters=[], |
| 117 | + order_by=SortParam(allowed_attrs=["dag_id"], model=DagModel).set_value("dag_id"), |
| 118 | + ) |
| 119 | + |
| 120 | + # Also fetch joined DagRun's state and start_date |
| 121 | + extended_query = query.add_columns(DagRun.state, DagRun.start_date) |
| 122 | + result = session.execute(extended_query).fetchall() |
| 123 | + dag_row = next((row for row in result if row[0].dag_id == dag_model.dag_id), None) |
| 124 | + assert dag_row is not None |
| 125 | + dagrun_state = dag_row[1] |
| 126 | + assert dagrun_state is not None, "Joined DagRun state must not be None" |
| 127 | + |
| 128 | + def test_includes_queued_run_when_ordering_by_state( |
| 129 | + self, dag_with_queued_run, dag_with_running_run, session |
| 130 | + ): |
| 131 | + """DAGs with QUEUED runs and null start_date, and RUNNING runs must all have joined DagRun info not None.""" |
| 132 | + queued_dag_model, _ = dag_with_queued_run |
| 133 | + running_dag_model, _ = dag_with_running_run |
| 134 | + |
| 135 | + query = generate_dag_with_latest_run_query( |
| 136 | + max_run_filters=[], |
| 137 | + order_by=SortParam(allowed_attrs=["last_run_state"], model=DagModel).set_value("last_run_state"), |
| 138 | + ) |
| 139 | + extended_query = query.add_columns(DagRun.state, DagRun.start_date) |
| 140 | + result = session.execute(extended_query).fetchall() |
| 141 | + |
| 142 | + # QUEUED DAG |
| 143 | + queued_row = next((row for row in result if row[0].dag_id == queued_dag_model.dag_id), None) |
| 144 | + assert queued_row is not None |
| 145 | + assert queued_row[1] is not None, "Joined DagRun state for QUEUED DAG must not be None" |
| 146 | + # RUNNING DAG |
| 147 | + running_row = next((row for row in result if row[0].dag_id == running_dag_model.dag_id), None) |
| 148 | + assert running_row is not None |
| 149 | + assert running_row[1] is not None, "Joined DagRun state for RUNNING DAG must not be None" |
| 150 | + assert running_row[2] is not None, "Joined DagRun start_date for RUNNING DAG must not be None" |
| 151 | + |
| 152 | + def test_includes_queued_run_when_ordering_by_start_date( |
| 153 | + self, dag_with_queued_run, dag_with_running_run, session |
| 154 | + ): |
| 155 | + """DAGs with QUEUED runs and RUNNING runs must all have joined DagRun info not None when ordering by start_date.""" |
| 156 | + queued_dag_model, _ = dag_with_queued_run |
| 157 | + running_dag_model, _ = dag_with_running_run |
| 158 | + |
| 159 | + query = generate_dag_with_latest_run_query( |
| 160 | + max_run_filters=[], |
| 161 | + order_by=SortParam(allowed_attrs=["last_run_start_date"], model=DagModel).set_value( |
| 162 | + "last_run_start_date" |
| 163 | + ), |
| 164 | + ) |
| 165 | + extended_query = query.add_columns(DagRun.state, DagRun.start_date) |
| 166 | + result = session.execute(extended_query).fetchall() |
| 167 | + |
| 168 | + # QUEUED DAG |
| 169 | + queued_row = next((row for row in result if row[0].dag_id == queued_dag_model.dag_id), None) |
| 170 | + assert queued_row is not None |
| 171 | + assert queued_row[1] is not None, "Joined DagRun state for QUEUED DAG must not be None" |
| 172 | + # RUNNING DAG |
| 173 | + running_row = next((row for row in result if row[0].dag_id == running_dag_model.dag_id), None) |
| 174 | + assert running_row is not None |
| 175 | + assert running_row[1] is not None, "Joined DagRun state for RUNNING DAG must not be None" |
| 176 | + assert running_row[2] is not None, "Joined DagRun start_date for RUNNING DAG must not be None" |
| 177 | + |
| 178 | + def test_latest_queued_run_without_start_date_is_included(self, session): |
| 179 | + """Even if the latest DagRun is QUEUED+start_date=None, joined DagRun state must not be None.""" |
| 180 | + dag_id = "dag_with_multiple_runs" |
| 181 | + dag_model = DagModel( |
| 182 | + dag_id=dag_id, |
| 183 | + is_stale=False, |
| 184 | + is_paused=False, |
| 185 | + fileloc="/tmp/dag3.py", |
| 186 | + ) |
| 187 | + session.add(dag_model) |
| 188 | + session.flush() |
| 189 | + older_run = DagRun( |
| 190 | + dag_id=dag_id, |
| 191 | + run_id="manual__older", |
| 192 | + run_type="manual", |
| 193 | + logical_date=datetime(2025, 1, 1, tzinfo=timezone.utc), |
| 194 | + state=DagRunState.SUCCESS, |
| 195 | + start_date=datetime(2025, 1, 1, tzinfo=timezone.utc), |
| 196 | + ) |
| 197 | + session.add(older_run) |
| 198 | + newer_run = DagRun( |
| 199 | + dag_id=dag_id, |
| 200 | + run_id="manual__newer_queued", |
| 201 | + run_type="manual", |
| 202 | + logical_date=utcnow(), |
| 203 | + state=DagRunState.QUEUED, |
| 204 | + start_date=None, |
| 205 | + ) |
| 206 | + session.add(newer_run) |
| 207 | + session.commit() |
| 208 | + query = generate_dag_with_latest_run_query( |
| 209 | + max_run_filters=[], |
| 210 | + order_by=SortParam(allowed_attrs=["last_run_state"], model=DagModel).set_value("last_run_state"), |
| 211 | + ) |
| 212 | + extended_query = query.add_columns(DagRun.state, DagRun.start_date) |
| 213 | + result = session.execute(extended_query).fetchall() |
| 214 | + dag_row = next((row for row in result if row[0].dag_id == dag_id), None) |
| 215 | + assert dag_row is not None |
| 216 | + assert dag_row[1] is not None, ( |
| 217 | + "Even if latest DagRun is QUEUED+start_date=None, state must not be None" |
| 218 | + ) |
| 219 | + |
| 220 | + def test_queued_runs_with_null_start_date_are_properly_joined( |
| 221 | + self, dag_with_queued_run, dag_with_running_run, session |
| 222 | + ): |
| 223 | + """ |
| 224 | + Verifies that DAGs with null start_date are properly joined in the query. |
| 225 | +
|
| 226 | + If a WHERE clause filters out null start_dates, these DAGs would be excluded. |
| 227 | + This test ensures they are still present and joined correctly. |
| 228 | + """ |
| 229 | + |
| 230 | + queued_dag_model, _ = dag_with_queued_run |
| 231 | + running_dag_model, _ = dag_with_running_run |
| 232 | + query = generate_dag_with_latest_run_query( |
| 233 | + max_run_filters=[], |
| 234 | + order_by=SortParam(allowed_attrs=["last_run_state"], model=DagModel).set_value("last_run_state"), |
| 235 | + ) |
| 236 | + extended_query = query.add_columns(DagRun.state, DagRun.start_date) |
| 237 | + |
| 238 | + result = session.execute(extended_query).fetchall() |
| 239 | + |
| 240 | + # Find results for each DAG |
| 241 | + queued_dag_result = None |
| 242 | + running_dag_result = None |
| 243 | + |
| 244 | + for row in result: |
| 245 | + dag_model = row[0] |
| 246 | + if dag_model.dag_id == queued_dag_model.dag_id: |
| 247 | + queued_dag_result = row |
| 248 | + elif dag_model.dag_id == running_dag_model.dag_id: |
| 249 | + running_dag_result = row |
| 250 | + |
| 251 | + # Assert both DAGs are present |
| 252 | + assert queued_dag_result is not None, f"Queued DAG {queued_dag_model.dag_id} should be in results" |
| 253 | + assert running_dag_result is not None, f"Running DAG {running_dag_model.dag_id} should be in results" |
| 254 | + |
| 255 | + # if WHERE start_date IS NOT NULL is present, |
| 256 | + # the queued DAG should have NO DagRun information joined (state=None, start_date=None) |
| 257 | + # But the running DAG should have DagRun information joined |
| 258 | + |
| 259 | + queued_dagrun_state = queued_dag_result[1] |
| 260 | + running_dagrun_state = running_dag_result[1] |
| 261 | + assert queued_dagrun_state is not None, ( |
| 262 | + "Queued DAG should have DagRun state joined, but got None. " |
| 263 | + "This suggests the WHERE start_date IS NOT NULL condition is excluding it." |
| 264 | + ) |
| 265 | + assert running_dagrun_state is not None, "Running DAG should have DagRun state joined" |
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