SIENTIAPDE-1312
Update Redis and CoreScouter to incorporate 'fill_missing_tags' parameter in data processing. Adjusted related tests to ensure proper handling of missing tags, enhancing overall functionality and consistency across workflows.
This commit is contained in:
@@ -220,7 +220,6 @@ class Redis(RedisBase):
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data_hold = {tag: content for tag, content in data_hold.items() if tag in tags}
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data_hold = {tag: content for tag, content in data_hold.items() if tag in tags}
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self.debug(f'Data hold after removing removed tags: {data_hold}', metadata=metadata)
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self.debug(f'Data hold after removing removed tags: {data_hold}', metadata=metadata)
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to_register_metrics = []
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to_register_metrics = []
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for _, row in data.iterrows():
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for _, row in data.iterrows():
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value = row['value']
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value = row['value']
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@@ -229,7 +228,7 @@ class Redis(RedisBase):
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to_register_metrics.append((row['name'], value))
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to_register_metrics.append((row['name'], value))
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if fill_missing_tags:
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if fill_missing_tags:
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self.debug("Filling missing tags in data package", metadata=metadata)
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self.debug('Filling missing tags in data package', metadata=metadata)
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missing_tags = [tag for tag in tags if tag not in list(data_hold.keys())]
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missing_tags = [tag for tag in tags if tag not in list(data_hold.keys())]
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for tag in missing_tags:
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for tag in missing_tags:
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@@ -93,7 +93,7 @@ class CoreScouter:
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'model_id': input_data['model_id'],
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'model_id': input_data['model_id'],
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'model_tags': input_data['model_tags'],
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'model_tags': input_data['model_tags'],
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'retention_time': input_data['retention_time'],
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'retention_time': input_data['retention_time'],
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'fill_missing_tags': input_data.get['fill_missing_tags']
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'fill_missing_tags': input_data['fill_missing_tags'],
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},
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},
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retry_policy=retry_policy,
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retry_policy=retry_policy,
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start_to_close_timeout=timedelta(seconds=60),
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start_to_close_timeout=timedelta(seconds=60),
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@@ -216,6 +216,7 @@ async def test_group_and_hold_data_new_key(redis_activity):
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}
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}
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).to_dict('records'),
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).to_dict('records'),
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'fill_missing_tags': False,
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}
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}
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# Mock get to return None for new key
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# Mock get to return None for new key
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@@ -243,7 +244,7 @@ async def test_group_and_hold_data_new_key(redis_activity):
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@pytest.mark.asyncio
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@pytest.mark.asyncio
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async def test_group_and_hold_data_update_existing(redis_activity):
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async def test_group_and_hold_data_update_existing_fill_missing(redis_activity):
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"""Test updating existing data with group_and_hold_data"""
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"""Test updating existing data with group_and_hold_data"""
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# Setup initial data in Redis
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# Setup initial data in Redis
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existing_data = {'sensor1': 20.0, 'sensor2': 28.0, 'timestamp': '2023-01-01 11:00:00'}
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existing_data = {'sensor1': 20.0, 'sensor2': 28.0, 'timestamp': '2023-01-01 11:00:00'}
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@@ -262,7 +263,13 @@ async def test_group_and_hold_data_update_existing(redis_activity):
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'timestamp': ['2023-01-01 12:00:00'] * 2,
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'timestamp': ['2023-01-01 12:00:00'] * 2,
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}
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}
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).to_dict('records'),
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).to_dict('records'),
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2', 'sensor3': 'sensor3'},
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'model_tags': {
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'sensor1': 'sensor1',
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'sensor2': 'sensor2',
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'sensor3': 'sensor3',
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'sensor4': 'sensor4',
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},
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'fill_missing_tags': True,
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}
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}
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# Mock get to return existing data
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# Mock get to return existing data
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@@ -274,10 +281,15 @@ async def test_group_and_hold_data_update_existing(redis_activity):
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# Verify the result
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# Verify the result
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expected_result = {
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expected_result = {
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'timestamp': {0: '2023-01-01 12:00:00', 1: '2023-01-01 12:00:00', 2: '2023-01-01 12:00:00'},
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'timestamp': {
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'variable': {0: 'sensor1', 1: 'sensor2', 2: 'sensor3'},
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0: '2023-01-01 12:00:00',
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'value': {0: 25.5, 1: 28.0, 2: 42.0},
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1: '2023-01-01 12:00:00',
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'model_id': {0: 1, 1: 1, 2: 1},
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2: '2023-01-01 12:00:00',
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3: '2023-01-01 12:00:00',
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},
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'variable': {0: 'sensor1', 1: 'sensor2', 2: 'sensor3', 3: 'sensor4'},
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'value': {0: 25.5, 1: 28.0, 2: 42.0, 3: None},
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'model_id': {0: 1, 1: 1, 2: 1, 3: 1},
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}
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}
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assert result == expected_result
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assert result == expected_result
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@@ -289,6 +301,7 @@ async def test_group_and_hold_data_update_existing(redis_activity):
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'sensor1': 25.5,
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'sensor1': 25.5,
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'sensor2': 28.0,
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'sensor2': 28.0,
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'sensor3': 42.0,
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'sensor3': 42.0,
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'sensor4': None,
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'timestamp': '2023-01-01 12:00:00',
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'timestamp': '2023-01-01 12:00:00',
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}
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}
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assert kwargs['ttl'] == 3600
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assert kwargs['ttl'] == 3600
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@@ -312,6 +325,7 @@ async def test_group_and_hold_data_with_none_values(redis_activity):
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}
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}
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).to_dict('records'),
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).to_dict('records'),
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'fill_missing_tags': False,
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}
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}
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# Mock get to return None for new key
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# Mock get to return None for new key
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@@ -337,6 +351,7 @@ async def test_group_and_hold_data_empty_dataframe(redis_activity):
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'retention_time': 3600,
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'retention_time': 3600,
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'data': DataFrame(columns=['name', 'value', 'timestamp']).to_dict('records'),
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'data': DataFrame(columns=['name', 'value', 'timestamp']).to_dict('records'),
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'fill_missing_tags': False,
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}
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}
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redis_activity.get = MagicMock(return_value=None)
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redis_activity.get = MagicMock(return_value=None)
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@@ -358,6 +373,7 @@ async def test_group_and_hold_data_error_get(redis_activity):
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'model_id': 1,
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'model_id': 1,
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'data': DataFrame(columns=['name', 'value', 'timestamp']).to_dict('records'),
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'data': DataFrame(columns=['name', 'value', 'timestamp']).to_dict('records'),
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'fill_missing_tags': False,
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}
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}
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redis_activity.get = MagicMock(side_effect=Exception('test'))
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redis_activity.get = MagicMock(side_effect=Exception('test'))
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@@ -393,6 +409,7 @@ async def test_group_and_hold_data_error_set(redis_activity):
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'model_id': 1,
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'model_id': 1,
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'data': DataFrame(columns=['name', 'value', 'timestamp']).to_dict('records'),
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'data': DataFrame(columns=['name', 'value', 'timestamp']).to_dict('records'),
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'model_tags': {'sensor1': 'sensor1', 'sensor2': 'sensor2'},
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'fill_missing_tags': False,
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}
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}
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existing_data = {'sensor1': 20.0, 'sensor2': 28.0, 'timestamp': '2023-01-01 11:00:00'}
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existing_data = {'sensor1': 20.0, 'sensor2': 28.0, 'timestamp': '2023-01-01 11:00:00'}
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@@ -42,6 +42,7 @@ async def test_core_scouter_workflow_success(mock_workflow, core_scouter):
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'retention_time': 3600,
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'retention_time': 3600,
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'model_tags': {},
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'model_tags': {},
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'debug_data_package': True,
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'debug_data_package': True,
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'fill_missing_tags': False,
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}
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}
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)
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)
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@@ -91,6 +92,7 @@ async def test_core_scouter_workflow_success(mock_workflow, core_scouter):
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'model_id': 'test_model_id',
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'model_id': 'test_model_id',
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'retention_time': 3600,
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'retention_time': 3600,
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'model_tags': {},
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'model_tags': {},
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'fill_missing_tags': False,
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},
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},
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retry_policy=ANY,
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retry_policy=ANY,
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start_to_close_timeout=ANY,
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start_to_close_timeout=ANY,
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@@ -161,6 +163,7 @@ async def test_core_scouter_workflow_with_empty_data(mock_workflow, core_scouter
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'table_name': 'test_table',
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'table_name': 'test_table',
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'retention_time': 3600,
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'retention_time': 3600,
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'model_tags': {},
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'model_tags': {},
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'fill_missing_tags': False,
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}
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}
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)
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)
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@@ -210,6 +213,7 @@ async def test_core_scouter_workflow_with_empty_data(mock_workflow, core_scouter
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'model_id': 'test_model_id',
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'model_id': 'test_model_id',
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'retention_time': 3600,
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'retention_time': 3600,
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'model_tags': {},
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'model_tags': {},
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'fill_missing_tags': False,
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},
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},
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retry_policy=ANY,
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retry_policy=ANY,
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start_to_close_timeout=ANY,
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start_to_close_timeout=ANY,
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