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Merge pull request #16 from Aignosi/SIENTIAPDE-1199-revisar-e-testar-observabilidade

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Sientiapde 1199 revisar e testar observabilidade
This commit is contained in:
Matheus Demoner
2025-08-25 09:55:25 -03:00
committed by GitHub
parent 93f0e3b100 3761cbd22f
commit eff4f7e610
14 changed files with 150 additions and 82 deletions
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2
laborious/activities/activities.py
View File

@@ -3,7 +3,7 @@ from temporalio import activity, workflow
with workflow.unsafe.imports_passed_through():
from sientia_do.temporal.activities.postgres import Postgres
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.temporal.utils.logger import Logger
from sientia_do.observability.logger import Logger
from laborious.activities.mlflow import MLFlow
from laborious.activities.gates import Gates
from laborious.activities.opc import OPC

46
laborious/activities/gates.py
View File

@@ -6,7 +6,7 @@ with workflow.unsafe.imports_passed_through():
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.notifications.models import NotificationLevel
from sientia_do.temporal.activities.base import BaseActivity
from sientia_do.temporal.utils.logger import Logger
from sientia_do.observability.logger import Logger
from laborious.utils.filters.mlflow_filters import nan_values_filter, api_error_filter
from typing import Any
from laborious.utils.filters.conditional_filters import (
@@ -68,7 +68,7 @@ class Gates(BaseActivity):
"""
metadata = input_data['metadata']
self.debug("Performing input gate...", metadata)
self.info("Performing input gate...", metadata)
self.debug(f"Input data: {input_data}", metadata)
@@ -103,11 +103,11 @@ class Gates(BaseActivity):
for path_flag in path_priority:
if path_flag in filter_output:
self.debug(f"Input gate result: {path_flag}", metadata)
self.info(f"Input gate result: {path_flag}", metadata)
return path_flag, input_filter_functions['path_confidence'][path_flag], \
"Input data with bad quality"
self.debug("Nothing was filtered by the input gate", metadata)
self.info("Nothing was filtered by the input gate", metadata)
return None, 0, ""
@activity.defn(name="mlflow_response_gate")
@@ -128,7 +128,7 @@ class Gates(BaseActivity):
"""
metadata = input_data['metadata']
self.debug("Performing mlflow response gate...", metadata)
self.info("Performing mlflow response gate...", metadata)
filters = input_data['filters']
data = input_data['data']
@@ -169,12 +169,12 @@ class Gates(BaseActivity):
for path_flag in path_priority:
if path_flag in filter_output:
self.debug(
self.info(
f"Mlflow response gate result: {path_flag}", metadata)
return path_flag, mlflow_response_filter_functions['path_confidence'][path_flag], \
", ".join(comments)
self.debug("Nothing was filtered by the mlflow response gate", metadata)
self.info("Nothing was filtered by the mlflow response gate", metadata)
return None, 0, ""
@activity.defn(name="mlflow_content_gate")
@@ -195,7 +195,7 @@ class Gates(BaseActivity):
"""
metadata = input_data['metadata']
self.debug("Performing mlflow content gate...", metadata)
self.info("Performing mlflow content gate...", metadata)
filters = input_data['filters']
data = DataFrame(input_data['data'])
@@ -234,12 +234,12 @@ class Gates(BaseActivity):
for path_flag in path_priority:
if path_flag in filter_output:
self.debug(
self.info(
f"Mlflow content gate result: {path_flag}", metadata)
return path_flag, mlflow_content_filter_functions['path_confidence'][path_flag], \
"Transformed data not passed the content filter"
self.debug("Nothing was filtered by the mlflow content gate", metadata)
self.info("Nothing was filtered by the mlflow content gate", metadata)
return None, 0, ""
@activity.defn(name="format_prediction")
@@ -256,7 +256,7 @@ class Gates(BaseActivity):
dict: The formatted data.
"""
metadata = input_data['metadata']
self.debug("Formatting prediction...", metadata)
self.info("Formatting prediction...", metadata)
data = DataFrame(input_data['data'])
data['timestamp'] = input_data['timestamp']
@@ -266,6 +266,8 @@ class Gates(BaseActivity):
data['comments'] = ""
data = data.sort_values(by='timestamp')
self.info(f"Prediction formatted: {data.size} rows", metadata)
return data.to_dict()
@activity.defn(name="format_default_prediction")
@@ -287,7 +289,7 @@ class Gates(BaseActivity):
metadata = input_data['metadata']
self.debug("Formatting default prediction...", metadata)
return DataFrame({
data = DataFrame({
'prediction': [0],
'response_time': [0],
'timestamp': [input_data['timestamp']],
@@ -295,7 +297,10 @@ class Gates(BaseActivity):
'prediction_confidence': [input_data['prediction_confidence']],
'prediction_status': ['Bad'],
'comments': [input_data['comment']]
}).to_dict()
})
self.info(f"Default prediction formatted: {data.size} rows", metadata)
return data.to_dict()
@activity.defn(name="get_last_timestamp")
async def get_last_timestamp(self, input_data: dict[str, Any]) -> str:
@@ -307,9 +312,18 @@ class Gates(BaseActivity):
Returns:
str: The last timestamp of the data.
"""
metadata = input_data['metadata']
self.info("Getting last timestamp...", metadata)
data = DataFrame(input_data['data'])
if data.empty:
return datetime.now().strftime('%Y-%m-%d %H:%M:%S')
self.info(
f"Last timestamp: {max(data['timestamp'].values.tolist())}", metadata)
return max(data['timestamp'].values.tolist())
@activity.defn(name="write_metrics")
@@ -325,6 +339,9 @@ class Gates(BaseActivity):
prediction_confidence = prediction['prediction_confidence'].values[0]
response_time = prediction['response_time'].values[0]
self.info(
f"Writing metrics for model {metadata['model_name']}", metadata)
metrics.PREDICTIONS_WRITTEN_COUNT.labels(
pod_id=self.pod_id,
model_name=metadata['model_name'],
@@ -342,3 +359,6 @@ class Gates(BaseActivity):
model_name=metadata['model_name'],
pipeline_name=metadata['workflow_name']
).observe(response_time)
self.info(
f"Metrics written for model {metadata['model_name']}", metadata)

17
laborious/activities/mlflow.py
View File

@@ -1,3 +1,4 @@
import json
from temporalio import activity, workflow
@@ -5,7 +6,7 @@ with workflow.unsafe.imports_passed_through():
from sientia_do.temporal.activities.base import BaseActivity
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.notifications.models import NotificationLevel
from sientia_do.temporal.utils.logger import Logger
from sientia_do.observability.logger import Logger
from laborious.utils.repository.model_repository import MLFlowRepository
from typing import Any
import numpy as np
@@ -40,7 +41,7 @@ class MLFlow(BaseActivity):
dict[str, Any]: The transformed data.
"""
metadata = input_data['metadata']
self.debug('Transforming data...', metadata)
self.info('Transforming data...', metadata)
data = DataFrame(input_data['data'])
model_name = input_data['model_name']
model_retention = input_data['model_retention']
@@ -66,8 +67,10 @@ class MLFlow(BaseActivity):
response_data = self.model_monitoring_repository.transform(
model_name, data, model_retention)
self.debug("Response data:", metadata)
self.debug(response_data, metadata)
self.debug("Transform response data:", metadata)
self.debug(json.dumps(response_data, indent=4), metadata)
self.info("Data transformed successfully", metadata)
return response_data
@@ -84,7 +87,7 @@ class MLFlow(BaseActivity):
dict[str, Any]: The predicted data.
"""
metadata = input_data['metadata']
self.debug('Predicting data...', metadata)
self.info('Predicting data...', metadata)
data = DataFrame(input_data['data'])
model_name = input_data['model_name']
model_retention = input_data['model_retention']
@@ -97,7 +100,9 @@ class MLFlow(BaseActivity):
model_name, data, model_retention)
self.debug("Prediction response data:", metadata)
self.debug(response_data, metadata)
self.debug(json.dumps(response_data, indent=4), metadata)
self.info("Prediction completed successfully", metadata)
return response_data

20
laborious/activities/opc.py
View File

@@ -5,7 +5,7 @@ with workflow.unsafe.imports_passed_through():
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.notifications.models import NotificationLevel
from sientia_do.temporal.activities.base import BaseActivity
from sientia_do.temporal.utils.logger import Logger
from sientia_do.observability.logger import Logger
from laborious.utils.repository.opc_repository import OpcRepository
from typing import Any
import traceback
@@ -115,7 +115,9 @@ class OPC(BaseActivity):
def manage_output_tags(
self, server_id: str, config: dict[str, Any], data: DataFrame,
metadata: dict[str, Any], success: bool) -> bool:
metadata: dict[str, Any], success: bool) -> tuple[bool, int]:
count = 0
if 'prediction_tags' in config:
for tag, tag_config in config['prediction_tags'].items():
local_success = self.write_data(
@@ -129,6 +131,7 @@ class OPC(BaseActivity):
if local_success:
self.info(
f"Prediction data written to OPC server {server_id} for tag {tag}.", metadata)
count += 1
success = success and local_success
if 'confidence_tags' in config:
@@ -144,9 +147,10 @@ class OPC(BaseActivity):
if local_success:
self.info(
f"Confidence data written to OPC server {server_id} for tag {tag}.", metadata)
count += 1
success = success and local_success
return success
return success, count
@activity.defn(name='write_opc_data')
async def write_opc_data(self, input_data: dict[str, Any]) -> dict[Any, Any]:
@@ -168,10 +172,10 @@ class OPC(BaseActivity):
"""
metadata = input_data['metadata']
self.debug("Writing data to OPC servers...", metadata)
self.info("Writing data to OPC servers...", metadata)
data = DataFrame(input_data['data'])
opc_output_config = input_data['opc_output_config']
self.debug(data, metadata)
self.info(f"Data to write: {data.size} rows", metadata)
success = True
@@ -181,8 +185,12 @@ class OPC(BaseActivity):
success = False
continue
success = success and self.manage_output_tags(
local_success, local_count = self.manage_output_tags(
server_id, config, data, metadata, success)
success = success and local_success
self.info(
f"Data written to OPC server {server_id}: {local_count} of {len(config['prediction_tags'])} prediction tags and {len(config['confidence_tags'])} confidence tags", metadata)
return self.process_confidence(data, success, metadata)

58
laborious/utils/repository/opc_repository.py
View File

@@ -9,7 +9,7 @@ from asyncua.ua import DataValue, Variant, VariantType, DateTime
from regex import F
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.notifications.models import NotificationLevel
from sientia_do.temporal.utils.logger import Logger
from sientia_do.observability.logger import Logger
from laborious import metrics
data_type_map = {
@@ -55,6 +55,13 @@ class OpcRepository():
self.client = None
self.pod_id = pod_id
self.metadata = {
'model_name': '-',
'model_id': '-',
'workflow_name': 'opc_repository',
'schedule_name': '-'
}
def set_security(self):
"""
Configures the security settings for the OPC UA client.
@@ -84,7 +91,7 @@ class OpcRepository():
self.server_cert_path) if self.server_cert_path else None
self.client.application_uri = self.server_uri
self.logger.info('Setting security...')
self.logger.custom_info('Setting security...', self.metadata)
self.client.set_security(
SecurityPolicyBasic256,
certificate=str(cert),
@@ -107,7 +114,8 @@ class OpcRepository():
self.client = Client(self.url)
if self.cert_path:
self.set_security()
self.logger.info(f'Starting connection to OPC server {self.id}...')
self.logger.custom_info(
f'Starting connection to OPC server {self.id}...', self.metadata)
return self.try_connect()
def try_connect(self) -> tuple[bool, dict[str, Any]]:
@@ -124,7 +132,7 @@ class OpcRepository():
return True, {}
except Exception as e:
trace = traceback.format_exc()
self.logger.error(trace)
self.logger.custom_error(trace, self.metadata)
return False, {
"notification_id": f"OPC_CONNECTION_ERROR_{self.id}",
@@ -142,9 +150,11 @@ class OpcRepository():
return
try:
self.client.disconnect()
self.logger.info('Disconnected from OPC server')
self.logger.custom_info(
'Disconnected from OPC server', self.metadata)
except Exception as e:
self.logger.error(f"Failed to disconnect from OPC server: {e}")
self.logger.custom_error(
f"Failed to disconnect from OPC server: {e}", self.metadata)
self.client = None
def __del__(self):
@@ -154,7 +164,8 @@ class OpcRepository():
try:
self.disconnect()
except Exception as e:
self.logger.error(f"Error in destructor: {e}")
self.logger.custom_error(
f"Error in destructor: {e}", self.metadata)
def validate_connection(self) -> tuple[bool, dict[str, Any]]:
"""
@@ -171,32 +182,39 @@ class OpcRepository():
return self.connect()
if self.error_count > 5:
self.logger.warning(
f"OPC server {self.id} will be disconnected due to multiple errors")
self.logger.custom_warning(
f"OPC server {self.id} will be disconnected due to multiple errors", self.metadata)
try:
self.disconnect()
except Exception as e:
trace = traceback.format_exc()
self.logger.error(f"Failed to disconnect from OPC server: {e}")
self.logger.error(trace)
self.logger.info(
f"Attempting to reconnect to OPC server {self.id}...")
self.logger.custom_error(
f"Failed to disconnect from OPC server: {e}", self.metadata)
self.logger.custom_error(trace, self.metadata)
self.logger.custom_info(
f"Attempting to reconnect to OPC server {self.id}...", self.metadata)
return self.connect()
if hasattr(self.client, 'aio_obj') and self.client.aio_obj.uaclient.protocol is None or \
(hasattr(self.client.aio_obj.uaclient, 'protocol') and
self.client.aio_obj.uaclient.protocol.state == "closed"):
self.logger.error(
f"OPC server {self.id} is not connected")
self.logger.custom_error(
f"OPC server {self.id} is not connected", self.metadata)
if self.last_reconnection_time is None or (datetime.now() - self.last_reconnection_time).total_seconds(
) > self.reconnection_interval:
self.disconnect()
self.logger.error(
f"Trying to reconnect to OPC server {self.id}...")
self.logger.custom_info(
f"Trying to reconnect to OPC server {self.id}...", self.metadata)
return self.connect()
return False, {}
return False, {
"notification_id": f"OPC_CONNECTION_AWAITING_RECONNECTION_WINDOW_{self.id}",
"message": f"OPC server {self.id} is not connected, waiting for next reconnection window...",
"block": "opc_repository",
"level": NotificationLevel.WARNING
}
return True, {}
@@ -244,7 +262,7 @@ class OpcRepository():
data = data_type_map[data_type]['converter'](value)
logger.custom_info(
f'Writing {data} - {type(data)} to {node}', metadata.get('schedule_name', 'N/A'))
f'Writing {data} - {type(data)} to {node}', metadata)
now = datetime.now()
ua_data = DataValue(
Variant(data, data_type_map[data_type]['opc_type']),
@@ -280,7 +298,7 @@ class OpcRepository():
except Exception as e:
trace = traceback.format_exc()
logger.custom_error(trace, metadata.get('schedule_name', 'N/A'))
logger.custom_error(trace, metadata)
self.error_count += 1
return False, {
"notification_id": f"OPC_WRITE_DATA_ERROR_{self.id}",

53
laborious/worker/worker.py
View File

@@ -1,5 +1,5 @@
from temporalio import workflow, client
from temporalio.worker import Worker
from temporalio.worker import Worker, PollerBehaviorAutoscaling
from temporalio.runtime import Runtime, TelemetryConfig, PrometheusConfig
with workflow.unsafe.imports_passed_through():
@@ -19,7 +19,7 @@ with workflow.unsafe.imports_passed_through():
build_mongodb_config
)
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.temporal.utils.logger import get_logger
from sientia_do.observability.logger import get_logger
from laborious import metrics
from prometheus_client import start_http_server
@@ -31,12 +31,20 @@ async def main():
host = os.getenv('TEMPORAL_HOST', 'localhost:7233')
logger = get_logger(__name__)
logger.info(f'Starting Worker with POD_ID: {POD_ID}')
metadata = {
'pod_id': POD_ID,
'model_name': '-',
'model_id': '-',
'workflow_name': '-',
'schedule_name': '-',
}
logger.info("Starting prometheus client...")
logger.custom_info(f'Starting Worker with POD_ID: {POD_ID}', metadata)
logger.custom_info("Starting prometheus client...", metadata)
start_prometheus_server()
logger.info('Starting Notification Handler...')
logger.custom_info('Starting Notification Handler...', metadata)
mongo_config = build_mongodb_config()
notification_handler = NotificationHandler(
@@ -46,7 +54,7 @@ async def main():
project_name=os.getenv('PROJECT_NAME', 'laborious')
)
logger.info('Starting Activities...')
logger.custom_info('Starting Activities...', metadata)
activities = Activities(
postgres_config=build_postgres_config(),
@@ -56,7 +64,8 @@ async def main():
notification_handler=notification_handler
)
logger.info(f'Starting SDK Metrics Server on port {SDK_METRICS_PORT}...')
logger.custom_info(
f'Starting SDK Metrics Server on port {SDK_METRICS_PORT}...', metadata)
new_runtime = Runtime(
telemetry=TelemetryConfig(
@@ -65,7 +74,7 @@ async def main():
)
)
logger.info('Starting Temporal Client...')
logger.custom_info('Starting Temporal Client...', metadata)
temporal_client = await client.Client.connect(
target_host=host,
@@ -73,7 +82,7 @@ async def main():
runtime=new_runtime
)
logger.info('Starting Workers...')
logger.custom_info('Starting Workers...', metadata)
workers = [
Worker(
@@ -86,11 +95,12 @@ async def main():
activities.update_production_model,
activities.export_data_to_postgres
],
max_concurrent_workflow_tasks=100,
max_concurrent_activities=100,
max_concurrent_local_activities=100,
max_concurrent_workflow_task_polls=100,
max_cached_workflows=50,
max_concurrent_workflow_tasks=50,
max_concurrent_activities=50,
max_concurrent_local_activities=50,
max_cached_workflows=200,
workflow_task_poller_behavior=PollerBehaviorAutoscaling(),
activity_task_poller_behavior=PollerBehaviorAutoscaling()
),
Worker(
temporal_client,
@@ -116,11 +126,12 @@ async def main():
activities.export_data_to_postgres,
activities.write_metrics
],
max_concurrent_workflow_tasks=100,
max_concurrent_activities=100,
max_concurrent_local_activities=100,
max_concurrent_workflow_task_polls=100,
max_cached_workflows=50,
max_concurrent_workflow_tasks=50,
max_concurrent_activities=50,
max_concurrent_local_activities=50,
max_cached_workflows=200,
workflow_task_poller_behavior=PollerBehaviorAutoscaling(),
activity_task_poller_behavior=PollerBehaviorAutoscaling()
)
]
@@ -128,14 +139,14 @@ async def main():
for w in workers:
handlers.append(w.run())
logger.info('Workers started successfully')
logger.custom_info('Workers started successfully', metadata)
try:
# This will run the workers and wait for them to complete.
# If an exception occurs in any of the worker handlers, it will be propagated here.
await asyncio.gather(*handlers)
except BaseException as e: # NOSONAR
logger.error(f"An unhandled exception occurred: {e}")
logger.custom_error(f"An unhandled exception occurred: {e}", metadata)
finally:
if notification_handler:
notification_handler.shutdown()

2
laborious/workflows/minimal_retrain.py
View File

@@ -3,7 +3,7 @@ from temporalio import workflow
with workflow.unsafe.imports_passed_through():
from laborious.activities.activities import Activities
from typing import Any
from sientia_do.temporal.utils.policies import retry_policy
from sientia_do.temporal.policies import retry_policy
from datetime import timedelta

2
laborious/workflows/predictions_batch.py
View File

@@ -3,7 +3,7 @@ from temporalio import workflow
with workflow.unsafe.imports_passed_through():
from laborious.activities.activities import Activities
from typing import Any
from sientia_do.temporal.utils.policies import retry_policy
from sientia_do.temporal.policies import retry_policy
from datetime import timedelta

2
laborious/workflows/sub_workflows/format_and_export_prediction.py
View File

@@ -4,7 +4,7 @@ with workflow.unsafe.imports_passed_through():
from laborious.activities.activities import Activities
from typing import Any
from datetime import timedelta
from sientia_do.temporal.utils.policies import retry_policy
from sientia_do.temporal.policies import retry_policy
@workflow.defn(name="format_and_export_prediction")

2
laborious/workflows/sub_workflows/prediction_process.py
View File

@@ -3,7 +3,7 @@ from temporalio import workflow
with workflow.unsafe.imports_passed_through():
from laborious.activities.activities import Activities
from typing import Any
from sientia_do.temporal.utils.policies import retry_policy
from sientia_do.temporal.policies import retry_policy
from datetime import timedelta

2
requirements.txt
View File

@@ -3,6 +3,6 @@ psycopg2-binary
sqlalchemy
asyncua
redis
git+ssh://git@github.com/Aignosi/sientia-dataops-library.git@1.3.8
git+ssh://git@github.com/Aignosi/sientia-dataops-library.git@1.4.1
git+ssh://git@github.com/Aignosi/sientia-mlops-library.git@0.38.5
prometheus-client

4
tests/laborious/activities/test_gates.py
View File

@@ -344,7 +344,6 @@ async def test_format_prediction(gates_activity):
assert result['prediction_confidence'] == {0: 0.9}
assert result['prediction_status'] == {0: 'Good'}
assert result['comments'] == {0: ""}
gates_activity.debug.assert_called()
@mark.asyncio
@@ -393,7 +392,8 @@ async def test_get_last_timestamp_with_data(gates_activity):
async def test_get_last_timestamp_no_data(gates_activity):
# Arrange
input_data = {
'data': {}
'data': {},
**metadata
}
# Act

16
tests/laborious/utils/repository/test_opc_repository.py
View File

@@ -139,8 +139,9 @@ def test_disconnect_error(opc_repository, mock_client):
mock_client.disconnect.side_effect = Exception("Test error")
opc_repository.disconnect()
opc_repository.logger.error.assert_called_once_with(
"Failed to disconnect from OPC server: Test error"
opc_repository.logger.custom_error.assert_called_once_with(
"Failed to disconnect from OPC server: Test error",
ANY
)
assert opc_repository.client is None
@@ -163,9 +164,9 @@ def test_validate_connection_error_count_disconnect_error(opc_repository):
assert response == opc_repository.connect.return_value
opc_repository.disconnect.assert_called_once()
opc_repository.connect.assert_called_once()
opc_repository.logger.error.assert_has_calls(
opc_repository.logger.custom_error.assert_has_calls(
[
call("Failed to disconnect from OPC server: Test error"),
call("Failed to disconnect from OPC server: Test error", ANY),
]
)
@@ -182,7 +183,12 @@ def test_validate_connection_lost_not_time_to_reconect(_mock_datetime, opc_repos
response = opc_repository.validate_connection()
opc_repository.try_connect.assert_not_called()
assert response == (False, {})
assert response == (False, {
"notification_id": f"OPC_CONNECTION_AWAITING_RECONNECTION_WINDOW_{opc_repository.id}",
"message": f"OPC server {opc_repository.id} is not connected, waiting for next reconnection window...",
"block": "opc_repository",
"level": NotificationLevel.WARNING
})
@patch('laborious.utils.repository.opc_repository.hasattr', return_value=True)

6
values.yaml
View File

@@ -3,7 +3,7 @@
# Declare variables to be passed into your templates.
# This will set the replicaset count more information can be found here: https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/
replicaCount: 3
replicaCount: 5
# This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/
image:
@@ -11,7 +11,7 @@ image:
# This sets the pull policy for images.
pullPolicy: Always
# Overrides the image tag whose default is the chart appVersion.
tag: "0.3.2"
tag: "0.4.2"
# This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
imagePullSecrets:
@@ -151,7 +151,7 @@ env:
- name: GITHUB_REPO_URL
value: "git@github.com:Aignosi/sientia-dataops-laborious_temporal.git"
- name: GITHUB_BRANCH
value: "SIENTIAPDE-1169-pensar-e-projetar-testes-de-breakdown-e-performance"
value: "SIENTIAPDE-1199-revisar-e-testar-observabilidade"
- name: PYTHON_APP
value: "laborious.worker.worker"