Merge pull request #27 from Aignosi/feature/SIENTIAPDE-1445
Enhance PI Web API Integration, Refactor Worker Setup, and Update Dependencies
This commit is contained in:
vitor-aignosi
@@ -19,6 +19,10 @@ REDIS_PASSWORD="pass"
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TEMPORAL_HOST=localhost:7233
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TEMPORAL_NAMESPACE=scouter
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PI_WEB_API_BASE_URL="https://piwebapi.link.com/piwebapi"
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PI_WEB_API_AUTH_TYPE="basic"
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PI_WEB_API_AUTH_TOKEN="password"
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LOG_LEVEL=INFO
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PROJECT_NAME=scouter
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@@ -3,5 +3,6 @@ psycopg2-binary
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sqlalchemy
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redis
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pymongo
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git+ssh://git@github.com/Aignosi/sientia-dataops-library.git@1.6.1
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prometheus-client
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git+ssh://git@github.com/Aignosi/sientia-dataops-library.git@1.7.1
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prometheus-client
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pycurl
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@@ -9,12 +9,13 @@ with workflow.unsafe.imports_passed_through():
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from sientia_do.observability.logger import Logger
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from sientia_do.temporal.activities.postgres import Postgres
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from scouter.activities.api import API
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from scouter.activities.gates import Gates
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from scouter.activities.mongodb import MongoDB
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from scouter.activities.redis import Redis
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class Activities(Postgres, Redis, Gates, MongoDB):
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class Activities(Postgres, Redis, Gates, MongoDB, API):
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"""
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Unified activities class that combines multiple data processing services.
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@@ -24,6 +25,7 @@ class Activities(Postgres, Redis, Gates, MongoDB):
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- Redis operations for caching and temporary storage
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- Data quality gates and filtering
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- MongoDB operations for data retrieval
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- PI Web API operations for external data ingestion
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- Notification handling and logging
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The class implements the multiple inheritance pattern to provide a unified
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@@ -35,6 +37,7 @@ class Activities(Postgres, Redis, Gates, MongoDB):
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postgres_config: dict[str, Any],
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redis_config: dict[str, Any],
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mongodb_config: dict[str, Any],
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api_config: dict[str, Any],
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logger: Logger,
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notification_handler: NotificationHandler,
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):
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@@ -48,6 +51,8 @@ class Activities(Postgres, Redis, Gates, MongoDB):
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Required fields: host, port, username, password
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mongodb_config (dict[str, Any]): MongoDB connection configuration.
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Required fields: connection_string, database_name
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api_config (dict[str, Any]): PI Web API configuration.
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Required fields: base_url, auth_type, auth_token
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logger (Logger): Logger instance for application logging
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notification_handler (NotificationHandler): Handler for system notifications
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"""
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@@ -100,6 +105,17 @@ class Activities(Postgres, Redis, Gates, MongoDB):
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metrics_controller=metrics_controller,
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)
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# Initialize API
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API.__init__(
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self,
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base_url=api_config['base_url'],
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auth_type=api_config['auth_type'],
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auth_token=api_config['auth_token'],
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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self.pod_id = getenv('HOSTNAME', 'localhost')
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def shutdown(self):
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@@ -113,3 +129,4 @@ class Activities(Postgres, Redis, Gates, MongoDB):
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MongoDB.close(self)
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Redis.close(self)
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Gates.close(self)
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API.close(self)
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139
scouter/activities/api.py
Normal file
139
scouter/activities/api.py
Normal file
@@ -0,0 +1,139 @@
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from temporalio import activity, workflow
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with workflow.unsafe.imports_passed_through():
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import traceback
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from typing import Any
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from sientia_do.notifications.handlers import NotificationHandler
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from sientia_do.notifications.models import NotificationLevel
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from sientia_do.observability.logger import Logger
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from sientia_do.observability.metrics_controller import MetricsController
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from sientia_do.observability.sientia_monitoring import SientiaMonitoring
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from sientia_do.temporal.constants import DATETIME_FORMAT_WITH_TZ
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from scouter.utils.clients.pi_web_api_client import PIWebAPIClient
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class API(SientiaMonitoring):
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"""
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PI Web API operations for data retrieval.
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This class provides Temporal activities for interacting with the PI Web API
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to retrieve tag values and historical data. It implements:
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- Tag value retrieval from PI Web API endpoints
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- Data quality filtering and validation
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- Error handling with notifications
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- Metrics collection for monitoring
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The class wraps the PIWebAPIClient to provide Temporal-aware activity methods
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that can be used in workflow orchestration.
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"""
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def __init__(
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self,
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base_url: str,
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auth_type: str,
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auth_token: str,
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logger: Logger,
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notification_handler: NotificationHandler,
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metrics_controller: MetricsController,
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) -> None:
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"""
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Initialize API activity with PI Web API client.
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Args:
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base_url (str): Base URL of the PI Web API server
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auth_type (str): Authentication type ('basic' or 'bearer')
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auth_token (str): Authentication token
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logger (Logger): Logger instance for operation logging
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notification_handler (NotificationHandler): Handler for system notifications
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metrics_controller (MetricsController): Controller for metrics collection
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"""
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SientiaMonitoring.__init__(self, logger, notification_handler, metrics_controller)
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self.pi_web_api_client = PIWebAPIClient(
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base_url=base_url,
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auth_config={
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'type': auth_type,
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'token': auth_token,
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},
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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def close(self) -> None:
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"""
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Close the PI Web API client and shutdown monitoring services.
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"""
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self.pi_web_api_client.close()
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SientiaMonitoring.shutdown(self)
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@activity.defn(name='get_tag_values')
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async def get_tag_values(self, input_data: dict[str, Any]) -> list[dict]:
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"""
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Retrieve tag values from PI Web API for specified WebIds.
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This activity fetches historical or real-time data from the PI Web API
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for a set of configured tags. It returns the data as a list of dictionaries
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suitable for further processing in the workflow.
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Args:
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input_data (dict[str, Any]): Activity input parameters.
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Required fields:
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- metadata (dict[str, Any]): Workflow execution metadata
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- endpoint (str): PI Web API endpoint path
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- web_ids (dict[str, str | None]): Tag names mapped to WebIds
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- period (dict[str, str]): Time period with 'start_time' field
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- api_timeout (int): Request timeout in seconds
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- max_count (int, optional): Maximum data points per tag. Defaults to 1
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Returns:
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list[dict]: List of data records, each containing:
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- timestamp: Data point timestamp
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- name: Tag name
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- value: Numeric value
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- tag: WebId
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Raises:
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PIMSRequestError: If API request fails
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Exception: If data retrieval or processing fails
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"""
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metadata = input_data['metadata']
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endpoint = input_data['endpoint']
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web_ids = input_data['web_ids']
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period = input_data['period']
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max_count = input_data.get('max_count', 1)
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api_timeout = input_data['api_timeout']
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self.info(f'Getting tag values from {endpoint}', metadata=metadata)
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self.debug(f'Web IDs: {web_ids}', metadata=metadata)
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try:
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latest_values = await self.pi_web_api_client.get_latest_values_df(
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endpoint=endpoint,
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web_ids=web_ids,
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start_time=period,
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max_count=max_count,
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metadata=metadata,
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timeout=api_timeout,
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)
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except Exception as e:
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await self.send_notification_async(
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metadata=metadata,
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notification_id='PI_WEB_API_REQUEST_ERROR',
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message=f'Error getting tag values from PI Web API: {e}',
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block='get_tag_values',
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level=NotificationLevel.ERROR,
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attachment_content=traceback.format_exc(),
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)
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raise e
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latest_values['timestamp'] = latest_values['timestamp'].dt.strftime(DATETIME_FORMAT_WITH_TZ)
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# Normalize the package timestamp
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latest_values['timestamp'] = latest_values['timestamp'].max()
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self.debug(f'Latest values: {latest_values}', metadata=metadata)
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self.info(f'Gathered {len(latest_values)} tag values', metadata=metadata)
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return latest_values.to_dict(orient='records')
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@@ -1,4 +1,5 @@
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from prometheus_client import Counter, Gauge
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from prometheus_client import Counter, Gauge, Histogram
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from sientia_do.observability.metrics import CORE_LABELS as SIENTIA_CORE_LABELS
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# Application health and status metrics
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APP_UP = Gauge(
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@@ -23,3 +24,23 @@ TAG_CHANGES_MONITOR = Gauge(
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'Current value change of each tag',
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[*CORE_LABELS, 'tag_name'],
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)
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# Generic REST client metrics
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GENERIC_REST_CLIENT_LAG = Histogram(
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'scouter_generic_rest_client_lag',
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'Lag time for a request to a generic REST client',
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SIENTIA_CORE_LABELS,
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)
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GENERIC_REST_READ_COUNT = Counter(
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'scouter_generic_rest_client_read_count',
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'Number of reads from a generic REST client',
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SIENTIA_CORE_LABELS,
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)
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GENERIC_REST_READ_ERROR_COUNT = Counter(
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'scouter_generic_rest_client_read_error_count',
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'Number of read errors from a generic REST client',
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SIENTIA_CORE_LABELS,
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)
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335
scouter/utils/clients/pi_web_api_client.py
Normal file
335
scouter/utils/clients/pi_web_api_client.py
Normal file
@@ -0,0 +1,335 @@
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import io
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import json
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import time
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import warnings
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from typing import Any
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from urllib.parse import urlencode
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import pandas as pd
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import pycurl
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from sientia_do.notifications.handlers import NotificationHandler
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from sientia_do.observability.logger import Logger
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from sientia_do.observability.metrics_controller import MetricsController
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from sientia_do.observability.sientia_monitoring import SientiaMonitoring
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from scouter import metrics
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warnings.simplefilter('ignore') # Ignore warnings such as 'verify=False'
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class PIMSRequestError(Exception):
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"""Generic error for failed requests to PI Web API using pycurl."""
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pass
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class PIWebAPIClient(SientiaMonitoring):
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"""
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Client for interacting with the PI Web API.
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This class provides a robust interface for querying historical and real-time
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data from OSIsoft PI systems through the PI Web API. It implements:
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- Asynchronous HTTP requests using pycurl
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- Authentication support (Basic and Bearer)
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- Automatic data normalization and timestamp handling
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- Comprehensive error handling and monitoring
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- Metrics collection for observability
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The client is designed for high-performance data retrieval with proper
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connection management and error recovery mechanisms.
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"""
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def __init__(
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self,
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base_url: str,
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auth_config: dict[str, Any],
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logger: Logger,
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notification_handler: NotificationHandler,
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metrics_controller: MetricsController,
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headers_config: dict[str, Any] | None = None,
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) -> None:
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"""
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Initialize the PI Web API client with connection parameters.
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Args:
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base_url (str): Base URL of the PI Web API server
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auth_config (dict[str, Any]): Authentication configuration.
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Required fields:
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- type (str): Authentication type ('basic' or 'bearer')
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- token (str): Authentication token
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logger (Logger): Logger instance for operation logging
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notification_handler (NotificationHandler): Handler for system notifications
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metrics_controller (MetricsController): Controller for metrics collection
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headers_config (dict[str, Any], optional): HTTP headers configuration.
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Default headers include content-type, accept, and x-requested-with
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max_concurrency (int, optional): Maximum number of concurrent requests. Defaults to 8
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"""
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if headers_config is None:
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headers_config = {
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'Content-Type': 'application/json',
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'Accept': 'application/json',
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'x-requested-with': 'XMLHttpRequest',
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}
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SientiaMonitoring.__init__(self, logger, notification_handler, metrics_controller)
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self.base_url = base_url.rstrip('/')
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# auth_config spec:
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# 'type': 'basic' or 'bearer',
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# 'token': 'token',
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self.auth_config = auth_config
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self.auth_config['type'] = self.auth_config['type'].lower()
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self.headers: dict[str, str] = headers_config
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self.authenticate()
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def close(self) -> None:
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"""
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Close the client and shutdown monitoring services.
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"""
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SientiaMonitoring.shutdown(self)
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def _to_clean_timestamp(self, series: pd.Series) -> pd.Series:
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"""
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Convert a Series of timestamps to datetime, UTC, and round to the nearest second.
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Args:
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series (pd.Series): Series containing timestamp values
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Returns:
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pd.Series: Cleaned timestamp series in UTC, floored to seconds
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"""
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series = pd.to_datetime(series, utc=True, errors='coerce')
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return series.dt.floor('s')
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def _extract_numeric(self, value: Any) -> float | None:
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"""
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Normalize a value (potentially nested) to float.
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This method handles PI Web API response values that may be nested
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in dictionaries or other structures, extracting the numeric value.
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Args:
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value (Any): Value to extract and normalize
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Returns:
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float | None: Numeric value as float, or None if conversion fails
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"""
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if isinstance(value, dict):
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value = value.get('Value', value)
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return pd.to_numeric(value, errors='coerce')
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def authenticate(self):
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"""
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Configure authentication headers based on auth_config.
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This method sets up the Authorization header using either Basic or Bearer
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authentication based on the configured authentication type.
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Raises:
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ValueError: If authentication type is not 'basic' or 'bearer'
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"""
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self.logger.info(f'Authenticating with {self.auth_config["type"]} authentication')
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if self.auth_config['type'] == 'basic':
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self.headers['Authorization'] = f'Basic {self.auth_config["token"]}'
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elif self.auth_config['type'] == 'bearer':
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self.headers['Authorization'] = f'Bearer {self.auth_config["token"]}'
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else:
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raise ValueError(f'Invalid authentication type: {self.auth_config["type"]}')
|
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async def _curl_get_json(
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self,
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url: str,
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params: list[tuple[str, str]] | None = None,
|
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timeout: int = 30,
|
||||
verify: bool = True,
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||||
metadata: dict[str, Any] | None = None,
|
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) -> dict[str, Any]:
|
||||
"""
|
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Perform a GET request using pycurl and return the decoded JSON response.
|
||||
|
||||
This method executes an asynchronous HTTP GET request with proper error handling,
|
||||
metrics collection, and timeout management. It automatically tracks request
|
||||
latency and emits monitoring metrics.
|
||||
|
||||
Args:
|
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url (str): Target URL for the GET request
|
||||
params (list[tuple[str, str]], optional): Query parameters as list of tuples.
|
||||
Each tuple contains (parameter_name, parameter_value)
|
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timeout (int, optional): Request timeout in seconds. Defaults to 30
|
||||
verify (bool, optional): Verify SSL certificates. Defaults to True
|
||||
metadata (dict[str, Any], optional): Workflow execution metadata for tracking
|
||||
|
||||
Returns:
|
||||
dict[str, Any]: Parsed JSON response body
|
||||
|
||||
Raises:
|
||||
PIMSRequestError: If HTTP error, connection error, or JSON parsing error occurs
|
||||
"""
|
||||
if metadata is None:
|
||||
metadata = {}
|
||||
|
||||
buffer = io.BytesIO()
|
||||
c = pycurl.Curl()
|
||||
|
||||
core_labels = self.get_core_labels(metadata=metadata, operation_type='get_json')
|
||||
|
||||
try:
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if params:
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||||
query_string = urlencode(params, doseq=True)
|
||||
full_url = f'{url}?{query_string}'
|
||||
else:
|
||||
full_url = url
|
||||
|
||||
c.setopt(pycurl.URL, full_url.encode('utf-8'))
|
||||
c.setopt(pycurl.WRITEDATA, buffer)
|
||||
|
||||
# Configure HTTP headers
|
||||
header_list = [f'{k}: {v}' for k, v in self.headers.items()]
|
||||
if header_list:
|
||||
c.setopt(pycurl.HTTPHEADER, header_list)
|
||||
|
||||
# Set request timeout
|
||||
c.setopt(pycurl.TIMEOUT, timeout)
|
||||
|
||||
# Configure SSL verification
|
||||
if not verify:
|
||||
c.setopt(pycurl.SSL_VERIFYPEER, 0)
|
||||
c.setopt(pycurl.SSL_VERIFYHOST, 0)
|
||||
|
||||
start_time = time.time()
|
||||
try:
|
||||
c.perform()
|
||||
except Exception as e:
|
||||
await self.emit_metric(
|
||||
metric_object=metrics.GENERIC_REST_READ_ERROR_COUNT,
|
||||
tags=core_labels,
|
||||
)
|
||||
raise e
|
||||
await self.observe_lag(
|
||||
start_time=start_time,
|
||||
metric_object=metrics.GENERIC_REST_CLIENT_LAG,
|
||||
tags=core_labels,
|
||||
)
|
||||
|
||||
status_code = c.getinfo(pycurl.RESPONSE_CODE)
|
||||
body = buffer.getvalue().decode('utf-8', errors='replace')
|
||||
|
||||
if status_code >= 400:
|
||||
await self.emit_metric(
|
||||
metric_object=metrics.GENERIC_REST_READ_ERROR_COUNT,
|
||||
tags=core_labels,
|
||||
)
|
||||
raise PIMSRequestError(f"HTTP {status_code} calling '{full_url}': {body[:200]}")
|
||||
|
||||
await self.emit_metric(
|
||||
metric_object=metrics.GENERIC_REST_READ_COUNT,
|
||||
tags=core_labels,
|
||||
)
|
||||
try:
|
||||
return json.loads(body)
|
||||
except json.JSONDecodeError as e:
|
||||
raise PIMSRequestError(
|
||||
f"Error decoding JSON response from '{full_url}': {e}; body: {body[:200]}"
|
||||
) from e
|
||||
|
||||
except pycurl.error as e:
|
||||
raise PIMSRequestError(f"Connection error calling '{url}': {e}") from e
|
||||
finally:
|
||||
c.close()
|
||||
|
||||
async def get_latest_values_df(
|
||||
self,
|
||||
web_ids: dict[str, dict[str, str]],
|
||||
endpoint: str,
|
||||
timeout: int = 30,
|
||||
start_time: str = '*-1d',
|
||||
end_time: str = '*',
|
||||
max_count: int | None = 1,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
) -> pd.DataFrame:
|
||||
"""
|
||||
Retrieve historical values for multiple WebIds using PI Web API streamsets.
|
||||
|
||||
This method queries the PI Web API's /streamsets/recorded endpoint to fetch
|
||||
historical data for multiple tags simultaneously. It returns a normalized
|
||||
DataFrame with timestamps, tag names, values, and WebIds.
|
||||
|
||||
Args:
|
||||
web_ids (dict[str, str | None]): Dictionary mapping tag names to their WebIds.
|
||||
None values are filtered out before querying
|
||||
endpoint (str): PI Web API endpoint path (e.g., '/streamsets/recorded')
|
||||
timeout (int, optional): Request timeout in seconds. Defaults to 30
|
||||
start_time (str, optional): Start time in PI Web API format (e.g., "*-50d").
|
||||
Defaults to "*-1d" (1 day ago)
|
||||
end_time (str, optional): End time in PI Web API format (e.g., "*").
|
||||
Defaults to "*" (current time)
|
||||
max_count (int, optional): Maximum number of data points per series.
|
||||
Defaults to 1. If None, maxCount parameter is not sent
|
||||
metadata (dict[str, Any], optional): Workflow execution metadata for tracking
|
||||
|
||||
Returns:
|
||||
pd.DataFrame: DataFrame with columns:
|
||||
- timestamp: Cleaned timestamp (UTC, floored to seconds)
|
||||
- name: Tag name
|
||||
- value: Numeric value (normalized)
|
||||
- tag: WebId of the tag
|
||||
Returns empty DataFrame if no data is found
|
||||
|
||||
Raises:
|
||||
PIMSRequestError: If API request fails or returns invalid data
|
||||
"""
|
||||
if metadata is None:
|
||||
metadata = {}
|
||||
|
||||
url = f'{self.base_url}{endpoint}'
|
||||
|
||||
# Build query parameters with WebIds (filtering out None values)
|
||||
params: list[tuple[str, str]] = [('webid', web_id['webid']) for web_id in web_ids.values()]
|
||||
params.extend(
|
||||
[
|
||||
('startTime', start_time),
|
||||
('endtime', end_time),
|
||||
('selectedFields', 'Items.Name;Items.Items.Timestamp;Items.Items.Value'),
|
||||
]
|
||||
)
|
||||
|
||||
params.append(('maxCount', str(max_count)))
|
||||
|
||||
data = await self._curl_get_json(
|
||||
url=url,
|
||||
params=params,
|
||||
timeout=timeout,
|
||||
verify=False,
|
||||
metadata=metadata,
|
||||
)
|
||||
|
||||
raw_data = data.get('Items', [])
|
||||
|
||||
records = []
|
||||
for entry in raw_data:
|
||||
tag_name = entry.get('Name')
|
||||
series_items = entry.get('Items', [])
|
||||
for it in series_items:
|
||||
if isinstance(it, dict) and 'Timestamp' in it and 'Value' in it:
|
||||
ts = it.get('Timestamp')
|
||||
val = it.get('Value')
|
||||
web_id = web_ids[tag_name]['webid']
|
||||
if ts is not None:
|
||||
records.append(
|
||||
{
|
||||
'timestamp': ts,
|
||||
'name': tag_name,
|
||||
'value': self._extract_numeric(val),
|
||||
'tag': web_id,
|
||||
}
|
||||
)
|
||||
|
||||
if not records:
|
||||
return pd.DataFrame()
|
||||
|
||||
df = pd.DataFrame.from_records(records)
|
||||
df['timestamp'] = self._to_clean_timestamp(df['timestamp'])
|
||||
|
||||
return df
|
||||
@@ -83,6 +83,23 @@ def build_mongodb_config() -> dict[str, Any]:
|
||||
}
|
||||
|
||||
|
||||
def build_api_config() -> dict[str, Any]:
|
||||
"""
|
||||
Build API connection configuration from environment variables.
|
||||
|
||||
Returns:
|
||||
dict[str, Any]: API configuration dictionary with keys:
|
||||
- base_url: API base URL (default: https://pi.example.com)
|
||||
- auth_type: API authentication type (default: basic)
|
||||
- auth_token: API authentication token (default: None)
|
||||
"""
|
||||
return {
|
||||
'base_url': getenv('PI_WEB_API_BASE_URL', 'https://pi.example.com'),
|
||||
'auth_type': getenv('PI_WEB_API_AUTH_TYPE', 'basic'),
|
||||
'auth_token': getenv('PI_WEB_API_AUTH_TOKEN', None),
|
||||
}
|
||||
|
||||
|
||||
def build_druid_config() -> dict[str, Any]:
|
||||
"""
|
||||
Build Apache Druid connection configuration from environment variables.
|
||||
|
||||
@@ -1,7 +1,9 @@
|
||||
import os
|
||||
import re
|
||||
from collections.abc import Sequence
|
||||
from typing import Any
|
||||
|
||||
from sientia_do.observability.logger import Logger
|
||||
from temporalio.client import Client
|
||||
from temporalio.worker import PollerBehaviorAutoscaling, Worker
|
||||
|
||||
@@ -19,14 +21,24 @@ parameters = [
|
||||
]
|
||||
|
||||
|
||||
def camel_to_snake(text: str) -> str:
|
||||
"""Convert camelCase or PascalCase to snake_case."""
|
||||
text = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text)
|
||||
text = re.sub('([a-z0-9])([A-Z])', r'\1_\2', text)
|
||||
return text.lower()
|
||||
|
||||
|
||||
def prepare_worker(
|
||||
main_workflow: type,
|
||||
other_workflows: Sequence[type],
|
||||
activities: Sequence[Any],
|
||||
temporal_client: Client,
|
||||
logger: Logger,
|
||||
) -> Worker:
|
||||
main_workflow_name = main_workflow.__name__.upper()
|
||||
|
||||
queue_name = f'{camel_to_snake(main_workflow.__name__)}-queue'
|
||||
|
||||
local_workflow_parameters = {}
|
||||
|
||||
for parameter in parameters:
|
||||
@@ -34,9 +46,11 @@ def prepare_worker(
|
||||
os.getenv(main_workflow_name + '_' + parameter[0], parameter[1])
|
||||
)
|
||||
|
||||
logger.info(f'Preparing worker for {main_workflow_name} with queue {queue_name}')
|
||||
|
||||
return Worker(
|
||||
temporal_client,
|
||||
task_queue='scouter-queue',
|
||||
task_queue=queue_name,
|
||||
workflows=[main_workflow, *other_workflows],
|
||||
activities=[*activities],
|
||||
max_concurrent_workflow_tasks=local_workflow_parameters['MAX_CONCURRENT_WORKFLOW_TASKS'],
|
||||
|
||||
@@ -15,10 +15,12 @@ with workflow.unsafe.imports_passed_through():
|
||||
from scouter import metrics
|
||||
from scouter.activities.activities import Activities
|
||||
from scouter.utils.connectors_config import (
|
||||
build_api_config,
|
||||
build_mongodb_config,
|
||||
build_postgres_config,
|
||||
build_redis_config,
|
||||
)
|
||||
from scouter.workflow.pi_web_api_scouter import PIWebAPIScouter
|
||||
from scouter.workflow.scouter import Scouter
|
||||
from scouter.workflow.sub_workflows.core_scouter import CoreScouter
|
||||
|
||||
@@ -103,6 +105,7 @@ async def main():
|
||||
postgres_config=build_postgres_config(),
|
||||
redis_config=build_redis_config(),
|
||||
mongodb_config=build_mongodb_config(),
|
||||
api_config=build_api_config(),
|
||||
)
|
||||
|
||||
logger.custom_info(f'Starting SDK Metrics Server on port {SDK_METRICS_PORT}...', metadata)
|
||||
@@ -137,7 +140,23 @@ async def main():
|
||||
activities.write_metrics,
|
||||
activities.store_data_package,
|
||||
],
|
||||
)
|
||||
logger=logger,
|
||||
),
|
||||
prepare_worker(
|
||||
temporal_client=temporal_client,
|
||||
main_workflow=PIWebAPIScouter,
|
||||
other_workflows=[CoreScouter],
|
||||
activities=[
|
||||
activities.get_tag_values,
|
||||
activities.data_quality_gate,
|
||||
activities.aggregate_data,
|
||||
activities.group_and_hold_data,
|
||||
activities.export_data_to_postgres,
|
||||
activities.write_metrics,
|
||||
activities.store_data_package,
|
||||
],
|
||||
logger=logger,
|
||||
),
|
||||
]
|
||||
|
||||
handlers = []
|
||||
|
||||
103
scouter/workflow/pi_web_api_scouter.py
Normal file
103
scouter/workflow/pi_web_api_scouter.py
Normal file
@@ -0,0 +1,103 @@
|
||||
from temporalio import workflow
|
||||
|
||||
with workflow.unsafe.imports_passed_through():
|
||||
from datetime import timedelta
|
||||
from typing import Any
|
||||
|
||||
from sientia_do.temporal.policies import retry_policy
|
||||
|
||||
from scouter.activities.activities import Activities
|
||||
|
||||
|
||||
@workflow.defn(name='pi_web_api_scouter')
|
||||
class PIWebAPIScouter:
|
||||
"""
|
||||
PI Web API Scouter workflow that orchestrates data ingestion from PI systems.
|
||||
|
||||
This workflow serves as the entry point for PI Web API data processing pipelines.
|
||||
Unlike the standard Scouter that loads from MongoDB, this workflow directly queries
|
||||
PI Web API endpoints to retrieve tag values and processes them for downstream use.
|
||||
|
||||
The workflow implements a direct API ingestion pattern with:
|
||||
- Real-time data retrieval from PI Web API
|
||||
- Configurable time periods and data point limits
|
||||
- Error handling and retry policies
|
||||
- Child workflow orchestration for data processing
|
||||
- Integration with CoreScouter for standardized processing
|
||||
"""
|
||||
|
||||
@workflow.run
|
||||
async def run(self, input_data: dict[str, Any]) -> None:
|
||||
"""
|
||||
Execute the PI Web API Scouter workflow.
|
||||
|
||||
This method orchestrates the complete data ingestion process from PI Web API:
|
||||
1. Retrieves tag values from PI Web API using configured WebIds
|
||||
2. Validates and normalizes the retrieved data
|
||||
3. Delegates data processing to the CoreScouter workflow
|
||||
|
||||
Args:
|
||||
input_data (dict[str, Any]): Configuration and parameters for the workflow execution.
|
||||
Required fields:
|
||||
- model_name (str): Name of the data model being processed
|
||||
- model_id (str): Unique identifier for the data model
|
||||
- schedule_name (str): Unique identifier for the data collection schedule
|
||||
- endpoint (str): PI Web API endpoint path (e.g., '/streamsets/recorded')
|
||||
- web_ids (dict[str, str | None]): Mapping of tag names to WebIds
|
||||
- period (dict[str, str]): Time period configuration with 'start_time'
|
||||
- api_timeout (int): Request timeout in seconds for PI Web API calls
|
||||
- max_count (int, optional): Maximum data points per tag. Defaults to 1
|
||||
- trigger_laborious (bool): Flag to enable intensive data processing
|
||||
- filters (dict[str, str]): Data quality filters configuration
|
||||
- schema (str): Target database schema for data export
|
||||
- table_name (str): Target table name for data export
|
||||
- retention_time (int): Data retention period in Redis (seconds)
|
||||
- model_tags (dict[str, Any]): Tag-specific configuration including:
|
||||
- data_range: [min, max] values for data validation
|
||||
- aggr_function: Aggregation method (avg, mdn, max, min, lts)
|
||||
- frequency: Data collection frequency in milliseconds
|
||||
- topics: List of Kafka topics for data routing
|
||||
|
||||
Returns:
|
||||
None: This workflow doesn't return data, it orchestrates data processing
|
||||
|
||||
Raises:
|
||||
WorkflowExecutionError: If workflow execution fails
|
||||
ActivityExecutionError: If any activity fails after retry attempts
|
||||
PIMSRequestError: If PI Web API request fails
|
||||
"""
|
||||
|
||||
input_data['workflow_name'] = 'scouter'
|
||||
|
||||
metadata = {
|
||||
'metadata': {
|
||||
'model_id': input_data['model_id'],
|
||||
'model_name': input_data['model_name'],
|
||||
'schedule_name': input_data['schedule_name'],
|
||||
'workflow_name': input_data['workflow_name'],
|
||||
}
|
||||
}
|
||||
|
||||
pi_web_api_query = input_data['pi_web_api_query']
|
||||
|
||||
data = await workflow.execute_local_activity_method(
|
||||
Activities.get_tag_values,
|
||||
{
|
||||
**metadata,
|
||||
'endpoint': pi_web_api_query['endpoint'],
|
||||
'web_ids': input_data['model_tags'],
|
||||
'period': pi_web_api_query['period'],
|
||||
'max_count': pi_web_api_query.get('max_count', 1),
|
||||
'api_timeout': pi_web_api_query['api_timeout'],
|
||||
},
|
||||
start_to_close_timeout=timedelta(seconds=60),
|
||||
retry_policy=retry_policy,
|
||||
)
|
||||
|
||||
if not data:
|
||||
return
|
||||
|
||||
input_data['data'] = data
|
||||
input_data['metadata'] = metadata
|
||||
|
||||
await workflow.execute_child_workflow('subworkflow.core_scouter', input_data)
|
||||
@@ -102,7 +102,7 @@ class CoreScouter:
|
||||
if held_data == {}:
|
||||
return
|
||||
|
||||
await workflow.execute_activity_method(
|
||||
data_exported = await workflow.execute_activity_method(
|
||||
Activities.export_data_to_postgres,
|
||||
{
|
||||
**metadata,
|
||||
@@ -110,11 +110,16 @@ class CoreScouter:
|
||||
'table_name': input_data['table_name'],
|
||||
'data': held_data,
|
||||
'timestamp_conversion': {'column': 'timestamp', 'format': DATETIME_FORMAT_WITH_TZ},
|
||||
'on_conflict': 'ignore',
|
||||
'unique_columns': ['model_id', 'timestamp', 'variable'],
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60),
|
||||
)
|
||||
|
||||
if data_exported.get('affected_rows', 0) <= 0:
|
||||
return
|
||||
|
||||
await workflow.execute_activity_method(
|
||||
Activities.write_metrics,
|
||||
{
|
||||
|
||||
984
tests.ipynb
Normal file
984
tests.ipynb
Normal file
@@ -0,0 +1,984 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "9d16b24a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from datetime import timedelta\n",
|
||||
"from typing import Any\n",
|
||||
"from temporalio import client\n",
|
||||
"from temporalio.client import WorkflowHandle\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"async def start_workflow_advanced(\n",
|
||||
" temporal_client: client.Client,\n",
|
||||
" workflow_name: str,\n",
|
||||
" workflow_input: dict[str, Any],\n",
|
||||
" workflow_id: str,\n",
|
||||
" task_queue: str,\n",
|
||||
" execution_timeout: timedelta | None = None,\n",
|
||||
" run_timeout: timedelta | None = None,\n",
|
||||
" task_timeout: timedelta | None = None,\n",
|
||||
") -> WorkflowHandle:\n",
|
||||
" handle = await temporal_client.start_workflow(\n",
|
||||
" workflow=workflow_name,\n",
|
||||
" arg=workflow_input,\n",
|
||||
" id=workflow_id or f\"{workflow_name}-{id(workflow_input)}\",\n",
|
||||
" task_queue=task_queue,\n",
|
||||
" execution_timeout=execution_timeout,\n",
|
||||
" run_timeout=run_timeout,\n",
|
||||
" task_timeout=task_timeout,\n",
|
||||
" )\n",
|
||||
" \n",
|
||||
" return handle"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"id": "5e344fb0",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"input_data = {\n",
|
||||
" \"debug_data_package\": False,\n",
|
||||
" \"execution_timeout_seconds\": 300,\n",
|
||||
" \"fill_missing_tags\": False,\n",
|
||||
" \"filters\": {\n",
|
||||
" \"NULL_VALUES_FILTER\": {\n",
|
||||
" \"policy\": \"DISCARD\"\n",
|
||||
" },\n",
|
||||
" \"OUT_OF_BOUNDS_FILTER\": {\n",
|
||||
" \"policy\": \"DISCARD\"\n",
|
||||
" }\n",
|
||||
" },\n",
|
||||
" \"frequency\": \"30s\",\n",
|
||||
" \"max_retry_policy\": 1,\n",
|
||||
" \"model_config\": {\n",
|
||||
" \"predict_flavor\": \"sklearn\",\n",
|
||||
" \"retention_minutes\": 0,\n",
|
||||
" \"target\": \"CI-W3A05F1\",\n",
|
||||
" \"transform_flavor\": \"sklearn\"\n",
|
||||
" },\n",
|
||||
" \"model_id\": \"10\",\n",
|
||||
" \"model_name\": \"Pi Web API Test Model\",\n",
|
||||
" \"model_tags\": {\n",
|
||||
" \"CI-W3W03S1\": {\n",
|
||||
" \"aggr_func\": \"avg\",\n",
|
||||
" \"data_range\": [\n",
|
||||
" -100000,\n",
|
||||
" 100000\n",
|
||||
" ],\n",
|
||||
" \"webid\": \"F1DP-7fYgsRTtUOa7V9NIwSujATFUAAAUElIQVZDXENJLVczVzAzUzE\"\n",
|
||||
" },\n",
|
||||
" \"CI-W3A05F1\": {\n",
|
||||
" \"aggr_func\": \"lts\",\n",
|
||||
" \"data_range\": [\n",
|
||||
" -100000,\n",
|
||||
" 100000\n",
|
||||
" ],\n",
|
||||
" \"webid\": \"F1DP-7fYgsRTtUOa7V9NIwSujAkVMAAAUElIQVZDXENJLVczQTA1RjE\"\n",
|
||||
" }\n",
|
||||
" },\n",
|
||||
" \"pi_web_api_query\": {\n",
|
||||
" \"endpoint\": \"/streamsets/recorded\",\n",
|
||||
" \"period\": \"*-1d\",\n",
|
||||
" \"max_count\": 1,\n",
|
||||
" \"api_timeout\": 5\n",
|
||||
" },\n",
|
||||
" \"offset\": \"0m\",\n",
|
||||
" \"retention_time\": 3600,\n",
|
||||
" \"schedule_name\": \"pi-web-api-scouter-test\",\n",
|
||||
" \"schema\": \"sientia_data\",\n",
|
||||
" \"table_name\": \"laborious_data\",\n",
|
||||
" \"task_timeout_seconds\": 300,\n",
|
||||
" \"trigger_laborious\": False,\n",
|
||||
" \"updated_at\": \"2025-08-13 18:35:01.600000+0000\",\n",
|
||||
" \"workflow_type\": \"pi_web_api_scouter\"\n",
|
||||
"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"id": "9350bff3",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from temporalio import client\n",
|
||||
"\n",
|
||||
"temporal_client = await client.Client.connect(\n",
|
||||
" target_host=\"localhost:7233\",\n",
|
||||
" namespace=\"scouter\"\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"id": "45712d7a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"\n",
|
||||
"import datetime\n",
|
||||
"\n",
|
||||
"now = datetime.datetime.now()\n",
|
||||
"\n",
|
||||
"handle = await start_workflow_advanced(\n",
|
||||
" temporal_client=temporal_client,\n",
|
||||
" workflow_name='pi_web_api_scouter',\n",
|
||||
" workflow_input=input_data,\n",
|
||||
" workflow_id='test_workflow_id_' + now.strftime('%Y%m%d%H%M%S'),\n",
|
||||
" task_queue='pi-web-api-scouter-queue',\n",
|
||||
" execution_timeout=timedelta(seconds=30),\n",
|
||||
" run_timeout=timedelta(seconds=30),\n",
|
||||
" task_timeout=timedelta(seconds=30),\n",
|
||||
")\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"id": "d065d0de",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"pi-web-api-scouter\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import re\n",
|
||||
"def camel_to_kebab(text: str) -> str:\n",
|
||||
" \"\"\"Convert camelCase or PascalCase to kebab-case.\"\"\"\n",
|
||||
" text = re.sub('(.)([A-Z][a-z]+)', r'\\1-\\2', text)\n",
|
||||
" text = re.sub('([a-z0-9])([A-Z])', r'\\1-\\2', text)\n",
|
||||
" return text.lower()\n",
|
||||
"\n",
|
||||
"print(camel_to_kebab('PiWebApiScouter'))\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"id": "72af4236",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "KeyError",
|
||||
"evalue": "'Items'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
|
||||
"\u001b[31mKeyError\u001b[39m Traceback (most recent call last)",
|
||||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[17]\u001b[39m\u001b[32m, line 42\u001b[39m\n\u001b[32m 39\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m tag \u001b[38;5;129;01min\u001b[39;00m TAG_NAMES:\n\u001b[32m 40\u001b[39m response = requests.get(url.replace(\u001b[33m'\u001b[39m\u001b[38;5;132;01m{tag}\u001b[39;00m\u001b[33m'\u001b[39m, tag), headers=headers).json()\n\u001b[32m 41\u001b[39m web_ids[tag] = {\n\u001b[32m---> \u001b[39m\u001b[32m42\u001b[39m \u001b[33m'\u001b[39m\u001b[33mwebid\u001b[39m\u001b[33m'\u001b[39m: \u001b[43mresponse\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mItems\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m]\u001b[49m[\u001b[32m0\u001b[39m][\u001b[33m'\u001b[39m\u001b[33mWebId\u001b[39m\u001b[33m'\u001b[39m],\n\u001b[32m 43\u001b[39m \u001b[33m'\u001b[39m\u001b[33maggr_func\u001b[39m\u001b[33m'\u001b[39m: \u001b[33m'\u001b[39m\u001b[33mlts\u001b[39m\u001b[33m'\u001b[39m,\n\u001b[32m 44\u001b[39m \u001b[33m'\u001b[39m\u001b[33mdata_range\u001b[39m\u001b[33m'\u001b[39m: [-\u001b[32m100000\u001b[39m, \u001b[32m100000\u001b[39m],\n\u001b[32m 45\u001b[39m }\n\u001b[32m 46\u001b[39m sleep(\u001b[32m0.5\u001b[39m)\n",
|
||||
"\u001b[31mKeyError\u001b[39m: 'Items'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import requests\n",
|
||||
"from time import sleep\n",
|
||||
"\n",
|
||||
"# Obter web id das seguintes tags:\n",
|
||||
"TAG_NAMES = [\n",
|
||||
" \"CI-W3A05F1\",\n",
|
||||
" \"CI-W3W03S1\", \"CI-W3W03I1\", \"CI-W3K01T1\", \"CI-W3W01A3\",\n",
|
||||
" \"CI-W3W01A2\", \"CI-W3W01A1\", \"CI-J3P01T1A\", \"CI-W3A50T1\", \"CI-W3A55T1\",\n",
|
||||
" \"CI-W3A55P1\", \"CI-W3V33P1\", \"CI-W3E01F1\", \"CI-W3A50A3\", \"CI-W3A50A2\",\n",
|
||||
" \"CI-W3A50A1\", \"CI-W3A50P1\", \"CI-W3W01P1\", \"CI-W3A71P1\", \"CI-W3W01P2\",\n",
|
||||
" \"CI-W3A71P2\", \"CI-W3A71P3\", \"CI-J3J01S1\", \"CI-W3P17S1\", \"CI-J3P03S1\",\n",
|
||||
" \"CI-W3K01S1\", \"CI-W3K14P1\", \"CI-W3K01T4\", \"CI-W3K01T2\", \n",
|
||||
"\n",
|
||||
" \"CI-W3FARCI_FSC\",\n",
|
||||
" \"CI-W3FARCI_MA\",\n",
|
||||
" \"CI-W3FARCI_MS\",\n",
|
||||
" \"CI-W3FARCI_P100\",\n",
|
||||
" \"CI-W3FARCI_p170\",\n",
|
||||
"\n",
|
||||
" \"CI-W3CLK_C3S\",\n",
|
||||
" \"CI-W3CLK_C3S_EXP\",\n",
|
||||
" \"CI-W3CLK_C3S_MD_EXP\",\n",
|
||||
" \"CI-W3CLK_C3S_MD_PETRO\",\n",
|
||||
" \"CI-W3V04P3\", \"CI-W3V04P1\",\n",
|
||||
" \"CI-W3W01G1\"\n",
|
||||
"]\n",
|
||||
"\n",
|
||||
"url = 'https://pivision.votorantimcimentos.com/piwebapi/dataservers/F1DS-7fYgsRTtUOa7V9NIwSujAUElIQVZD/points?namefilter={tag}'\n",
|
||||
"\n",
|
||||
"headers = {\n",
|
||||
" 'Content-Type': 'application/json',\n",
|
||||
" 'Accept': 'application/json',\n",
|
||||
" 'X-Requested-With': 'piwebapistreams', # Header recomendado pelo PI Web API\n",
|
||||
" 'Authorization': \"\"\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
"web_ids = {}\n",
|
||||
"\n",
|
||||
"for tag in TAG_NAMES:\n",
|
||||
" response = requests.get(url.replace('{tag}', tag), headers=headers).json()\n",
|
||||
" web_ids[tag] = {\n",
|
||||
" 'webid': response['Items'][0]['WebId'],\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000],\n",
|
||||
" }\n",
|
||||
" sleep(0.5)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "55793801",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'CI-W3A05F1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAkVMAAAUElIQVZDXENJLVczQTA1RjE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W03S1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujATFUAAAUElIQVZDXENJLVczVzAzUzE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W03I1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAS1UAAAUElIQVZDXENJLVczVzAzSTE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3K01T1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAklQAAAUElIQVZDXENJLVczSzAxVDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W01A3': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAOFUAAAUElIQVZDXENJLVczVzAxQTM',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W01A2': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAN1UAAAUElIQVZDXENJLVczVzAxQTI',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W01A1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujANlUAAAUElIQVZDXENJLVczVzAxQTE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-J3P01T1A': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAYUUAAAUElIQVZDXENJLUozUDAxVDFB',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A50T1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujArFMAAAUElIQVZDXENJLVczQTUwVDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A55T1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAxFMAAAUElIQVZDXENJLVczQTU1VDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A55P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAwVMAAAUElIQVZDXENJLVczQTU1UDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3V33P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAJVUAAAUElIQVZDXENJLVczVjMzUDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3E01F1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAzY0CAAUElIQVZDXENJLVczRTAxRjE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A50A3': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAqVMAAAUElIQVZDXENJLVczQTUwQTM',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A50A2': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAqFMAAAUElIQVZDXENJLVczQTUwQTI',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A50A1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAp1MAAAUElIQVZDXENJLVczQTUwQTE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A50P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAq1MAAAUElIQVZDXENJLVczQTUwUDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W01P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAPlUAAAUElIQVZDXENJLVczVzAxUDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A71P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAy1MAAAUElIQVZDXENJLVczQTcxUDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W01P2': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAP1UAAAUElIQVZDXENJLVczVzAxUDI',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A71P2': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAzFMAAAUElIQVZDXENJLVczQTcxUDI',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3A71P3': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAzVMAAAUElIQVZDXENJLVczQTcxUDM',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-J3J01S1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAMUUAAAUElIQVZDXENJLUozSjAxUzE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3P17S1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujA7VQAAAUElIQVZDXENJLVczUDE3UzE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-J3P03S1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAa0UAAAUElIQVZDXENJLUozUDAzUzE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3K01S1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAkFQAAAUElIQVZDXENJLVczSzAxUzE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3K14P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAuFQAAAUElIQVZDXENJLVczSzE0UDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3K01T4': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAl1QAAAUElIQVZDXENJLVczSzAxVDQ',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3K01T2': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAlVQAAAUElIQVZDXENJLVczSzAxVDI',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3FARCI_FSC': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAgVQAAAUElIQVZDXENJLVczRkFSQ0lfRlND',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3FARCI_MA': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAg1QAAAUElIQVZDXENJLVczRkFSQ0lfTUE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3FARCI_MS': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAhVQAAAUElIQVZDXENJLVczRkFSQ0lfTVM',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3FARCI_P100': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAiFQAAAUElIQVZDXENJLVczRkFSQ0lfUDEwMA',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3FARCI_p170': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAiVQAAAUElIQVZDXENJLVczRkFSQ0lfUDE3MA',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3CLK_C3S': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujA4lMAAAUElIQVZDXENJLVczQ0xLX0MzUw',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3CLK_C3S_EXP': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujA41MAAAUElIQVZDXENJLVczQ0xLX0MzU19FWFA',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3CLK_C3S_MD_EXP': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujA5VMAAAUElIQVZDXENJLVczQ0xLX0MzU19NRF9FWFA',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3CLK_C3S_MD_PETRO': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujA5lMAAAUElIQVZDXENJLVczQ0xLX0MzU19NRF9QRVRSTw',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3V04P3': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAElUAAAUElIQVZDXENJLVczVjA0UDM',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3V04P1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAEFUAAAUElIQVZDXENJLVczVjA0UDE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]},\n",
|
||||
" 'CI-W3W01G1': {'webid': 'F1DP-7fYgsRTtUOa7V9NIwSujAOlUAAAUElIQVZDXENJLVczVzAxRzE',\n",
|
||||
" 'aggr_func': 'lts',\n",
|
||||
" 'data_range': [-100000, 100000]}}"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"web_ids"
|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
"id": "2e0e3d5a",
|
||||
"metadata": {},
|
||||
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|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'Links': {},\n",
|
||||
" 'Items': [{'WebId': 'F1DP-7fYgsRTtUOa7V9NIwSujAkVMAAAUElIQVZDXENJLVczQTA1RjE',\n",
|
||||
" 'Name': 'CI-W3A05F1',\n",
|
||||
" 'Path': '\\\\\\\\PIHAVC\\\\CI-W3A05F1',\n",
|
||||
" 'Links': {'Source': 'https://pivision.votorantimcimentos.com/piwebapi/points/F1DP-7fYgsRTtUOa7V9NIwSujAkVMAAAUElIQVZDXENJLVczQTA1RjE'},\n",
|
||||
" 'Items': [{'Timestamp': '2025-12-17T18:12:49.2170104Z',\n",
|
||||
" 'Value': 273.3339,\n",
|
||||
" 'UnitsAbbreviation': '',\n",
|
||||
" 'Good': True,\n",
|
||||
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|
||||
" 'Substituted': False,\n",
|
||||
" 'Annotated': False}],\n",
|
||||
" 'UnitsAbbreviation': ''}]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 35,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"item = web_ids['CI-W3A05F1']['webid']\n",
|
||||
"\n",
|
||||
"requests.get(\n",
|
||||
" f'https://pivision.votorantimcimentos.com/piwebapi/streamsets/recorded',\n",
|
||||
" params={\n",
|
||||
" 'webid': item,\n",
|
||||
" 'startTime': '*-1d',\n",
|
||||
" 'endtime': '*',\n",
|
||||
" \"maxCount\": 1,\n",
|
||||
" },\n",
|
||||
" headers=headers\n",
|
||||
").json()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"id": "f8c425e2",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th>variable</th>\n",
|
||||
" <th>CI-J3J01S1</th>\n",
|
||||
" <th>CI-J3P01T1A</th>\n",
|
||||
" <th>CI-J3P03S1</th>\n",
|
||||
" <th>CI-W3A05F1</th>\n",
|
||||
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|
||||
" <th>CI-W3A50A2</th>\n",
|
||||
" <th>CI-W3A50A3</th>\n",
|
||||
" <th>CI-W3A50P1</th>\n",
|
||||
" <th>CI-W3A50T1</th>\n",
|
||||
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|
||||
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|
||||
" <th>CI-W3V33P1</th>\n",
|
||||
" <th>CI-W3W01A1</th>\n",
|
||||
" <th>CI-W3W01A2</th>\n",
|
||||
" <th>CI-W3W01A3</th>\n",
|
||||
" <th>CI-W3W01G1</th>\n",
|
||||
" <th>CI-W3W01P1</th>\n",
|
||||
" <th>CI-W3W01P2</th>\n",
|
||||
" <th>CI-W3W03I1</th>\n",
|
||||
" <th>CI-W3W03S1</th>\n",
|
||||
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|
||||
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|
||||
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|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>87.999020</td>\n",
|
||||
" <td>238.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>272.869100</td>\n",
|
||||
" <td>0.083338</td>\n",
|
||||
" <td>2.636171</td>\n",
|
||||
" <td>589.246400</td>\n",
|
||||
" <td>-0.923784</td>\n",
|
||||
" <td>383.722400</td>\n",
|
||||
" <td>-18.167961</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>259.565500</td>\n",
|
||||
" <td>0.008220</td>\n",
|
||||
" <td>4.190174</td>\n",
|
||||
" <td>376.848267</td>\n",
|
||||
" <td>600.466900</td>\n",
|
||||
" <td>-3.109598</td>\n",
|
||||
" <td>0.221798</td>\n",
|
||||
" <td>63.605830</td>\n",
|
||||
" <td>1545.50293</td>\n",
|
||||
" <td>2025-12-17 22:12:42</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>87.999020</td>\n",
|
||||
" <td>238.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>272.649200</td>\n",
|
||||
" <td>0.083338</td>\n",
|
||||
" <td>2.267340</td>\n",
|
||||
" <td>618.462100</td>\n",
|
||||
" <td>-0.771080</td>\n",
|
||||
" <td>381.468872</td>\n",
|
||||
" <td>-17.495136</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>263.099854</td>\n",
|
||||
" <td>0.008220</td>\n",
|
||||
" <td>2.611867</td>\n",
|
||||
" <td>435.797668</td>\n",
|
||||
" <td>600.466900</td>\n",
|
||||
" <td>-3.030156</td>\n",
|
||||
" <td>0.153527</td>\n",
|
||||
" <td>65.785706</td>\n",
|
||||
" <td>1545.50293</td>\n",
|
||||
" <td>2025-12-17 22:41:54</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>86.997925</td>\n",
|
||||
" <td>228.200012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>264.225372</td>\n",
|
||||
" <td>0.082358</td>\n",
|
||||
" <td>3.254068</td>\n",
|
||||
" <td>444.800200</td>\n",
|
||||
" <td>-0.789923</td>\n",
|
||||
" <td>389.007800</td>\n",
|
||||
" <td>-16.590466</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>223.346313</td>\n",
|
||||
" <td>0.085927</td>\n",
|
||||
" <td>9.447197</td>\n",
|
||||
" <td>343.596000</td>\n",
|
||||
" <td>600.000000</td>\n",
|
||||
" <td>-2.436767</td>\n",
|
||||
" <td>0.350289</td>\n",
|
||||
" <td>69.886520</td>\n",
|
||||
" <td>1616.15491</td>\n",
|
||||
" <td>2025-12-18 19:08:08</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>86.997925</td>\n",
|
||||
" <td>228.200012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>266.714172</td>\n",
|
||||
" <td>0.082361</td>\n",
|
||||
" <td>2.444070</td>\n",
|
||||
" <td>481.586060</td>\n",
|
||||
" <td>-0.551620</td>\n",
|
||||
" <td>390.612854</td>\n",
|
||||
" <td>-16.791473</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>240.661469</td>\n",
|
||||
" <td>0.085927</td>\n",
|
||||
" <td>9.324739</td>\n",
|
||||
" <td>462.062256</td>\n",
|
||||
" <td>600.000000</td>\n",
|
||||
" <td>-3.030156</td>\n",
|
||||
" <td>0.208616</td>\n",
|
||||
" <td>64.659730</td>\n",
|
||||
" <td>1628.22876</td>\n",
|
||||
" <td>2025-12-18 19:23:08</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>91.991210</td>\n",
|
||||
" <td>139.299988</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>280.392334</td>\n",
|
||||
" <td>0.082361</td>\n",
|
||||
" <td>1.835279</td>\n",
|
||||
" <td>436.144100</td>\n",
|
||||
" <td>-0.486019</td>\n",
|
||||
" <td>387.727000</td>\n",
|
||||
" <td>-17.495136</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>249.935165</td>\n",
|
||||
" <td>0.059602</td>\n",
|
||||
" <td>5.359922</td>\n",
|
||||
" <td>367.250300</td>\n",
|
||||
" <td>600.000000</td>\n",
|
||||
" <td>-3.286316</td>\n",
|
||||
" <td>0.276372</td>\n",
|
||||
" <td>59.949337</td>\n",
|
||||
" <td>1691.23462</td>\n",
|
||||
" <td>2025-12-18 19:31:54</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>5</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>230.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>268.893158</td>\n",
|
||||
" <td>0.083623</td>\n",
|
||||
" <td>2.572147</td>\n",
|
||||
" <td>410.169100</td>\n",
|
||||
" <td>-0.929219</td>\n",
|
||||
" <td>395.898200</td>\n",
|
||||
" <td>-16.390797</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>241.309967</td>\n",
|
||||
" <td>0.002000</td>\n",
|
||||
" <td>4.262301</td>\n",
|
||||
" <td>340.296700</td>\n",
|
||||
" <td>880.778200</td>\n",
|
||||
" <td>-3.671064</td>\n",
|
||||
" <td>0.248075</td>\n",
|
||||
" <td>65.195390</td>\n",
|
||||
" <td>1609.20154</td>\n",
|
||||
" <td>2025-12-18 19:34:28</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>6</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>230.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>269.359000</td>\n",
|
||||
" <td>0.083623</td>\n",
|
||||
" <td>2.636187</td>\n",
|
||||
" <td>417.679138</td>\n",
|
||||
" <td>-0.837243</td>\n",
|
||||
" <td>396.060272</td>\n",
|
||||
" <td>-16.390797</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>239.364624</td>\n",
|
||||
" <td>0.002000</td>\n",
|
||||
" <td>3.964616</td>\n",
|
||||
" <td>318.547300</td>\n",
|
||||
" <td>935.914368</td>\n",
|
||||
" <td>-3.477627</td>\n",
|
||||
" <td>0.248075</td>\n",
|
||||
" <td>63.284638</td>\n",
|
||||
" <td>1609.20154</td>\n",
|
||||
" <td>2025-12-18 19:35:19</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>7</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>230.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>268.651978</td>\n",
|
||||
" <td>0.083623</td>\n",
|
||||
" <td>2.483914</td>\n",
|
||||
" <td>404.910522</td>\n",
|
||||
" <td>-0.906091</td>\n",
|
||||
" <td>396.222473</td>\n",
|
||||
" <td>-16.390797</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>239.364624</td>\n",
|
||||
" <td>0.002000</td>\n",
|
||||
" <td>4.766942</td>\n",
|
||||
" <td>314.721130</td>\n",
|
||||
" <td>903.813232</td>\n",
|
||||
" <td>-3.797625</td>\n",
|
||||
" <td>0.248075</td>\n",
|
||||
" <td>64.601974</td>\n",
|
||||
" <td>1645.86389</td>\n",
|
||||
" <td>2025-12-18 19:39:04</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>230.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>270.836426</td>\n",
|
||||
" <td>0.083623</td>\n",
|
||||
" <td>2.748308</td>\n",
|
||||
" <td>403.442100</td>\n",
|
||||
" <td>-0.939606</td>\n",
|
||||
" <td>396.222473</td>\n",
|
||||
" <td>-16.390797</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>239.364624</td>\n",
|
||||
" <td>0.001362</td>\n",
|
||||
" <td>4.637836</td>\n",
|
||||
" <td>325.616100</td>\n",
|
||||
" <td>909.961060</td>\n",
|
||||
" <td>-3.605707</td>\n",
|
||||
" <td>0.248075</td>\n",
|
||||
" <td>62.869644</td>\n",
|
||||
" <td>1646.51428</td>\n",
|
||||
" <td>2025-12-18 19:40:58</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>227.700012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>270.715637</td>\n",
|
||||
" <td>0.089754</td>\n",
|
||||
" <td>2.644230</td>\n",
|
||||
" <td>425.803000</td>\n",
|
||||
" <td>-1.007370</td>\n",
|
||||
" <td>396.384521</td>\n",
|
||||
" <td>-16.725641</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>239.040222</td>\n",
|
||||
" <td>0.001361</td>\n",
|
||||
" <td>5.083293</td>\n",
|
||||
" <td>349.286682</td>\n",
|
||||
" <td>949.923500</td>\n",
|
||||
" <td>-3.702983</td>\n",
|
||||
" <td>0.208413</td>\n",
|
||||
" <td>65.850296</td>\n",
|
||||
" <td>1647.25537</td>\n",
|
||||
" <td>2025-12-18 20:12:23</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>10</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>227.700012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>270.661438</td>\n",
|
||||
" <td>0.078859</td>\n",
|
||||
" <td>2.628080</td>\n",
|
||||
" <td>435.462860</td>\n",
|
||||
" <td>-0.962243</td>\n",
|
||||
" <td>396.384521</td>\n",
|
||||
" <td>-17.031452</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>239.364441</td>\n",
|
||||
" <td>0.108690</td>\n",
|
||||
" <td>5.151842</td>\n",
|
||||
" <td>353.761353</td>\n",
|
||||
" <td>949.961060</td>\n",
|
||||
" <td>-3.733788</td>\n",
|
||||
" <td>0.207413</td>\n",
|
||||
" <td>64.788740</td>\n",
|
||||
" <td>1644.68042</td>\n",
|
||||
" <td>2025-12-19 03:26:44</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>11</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>227.700012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>270.725159</td>\n",
|
||||
" <td>0.078859</td>\n",
|
||||
" <td>2.628080</td>\n",
|
||||
" <td>424.227722</td>\n",
|
||||
" <td>-0.827545</td>\n",
|
||||
" <td>396.384521</td>\n",
|
||||
" <td>-17.031452</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>239.364441</td>\n",
|
||||
" <td>0.108690</td>\n",
|
||||
" <td>4.830516</td>\n",
|
||||
" <td>353.761353</td>\n",
|
||||
" <td>893.074000</td>\n",
|
||||
" <td>-3.733788</td>\n",
|
||||
" <td>0.207413</td>\n",
|
||||
" <td>64.788740</td>\n",
|
||||
" <td>1644.68042</td>\n",
|
||||
" <td>2025-12-19 03:32:37</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>12</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>227.700012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>269.977020</td>\n",
|
||||
" <td>0.078859</td>\n",
|
||||
" <td>3.799854</td>\n",
|
||||
" <td>350.998047</td>\n",
|
||||
" <td>-0.901527</td>\n",
|
||||
" <td>395.614441</td>\n",
|
||||
" <td>-18.777557</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>226.556274</td>\n",
|
||||
" <td>0.108690</td>\n",
|
||||
" <td>5.567447</td>\n",
|
||||
" <td>312.856700</td>\n",
|
||||
" <td>887.664734</td>\n",
|
||||
" <td>-3.445201</td>\n",
|
||||
" <td>0.188967</td>\n",
|
||||
" <td>65.376144</td>\n",
|
||||
" <td>1644.68042</td>\n",
|
||||
" <td>2025-12-19 03:59:20</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>13</th>\n",
|
||||
" <td>90.001220</td>\n",
|
||||
" <td>227.700012</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>269.098000</td>\n",
|
||||
" <td>0.078859</td>\n",
|
||||
" <td>3.325234</td>\n",
|
||||
" <td>401.663940</td>\n",
|
||||
" <td>-0.960138</td>\n",
|
||||
" <td>392.380127</td>\n",
|
||||
" <td>-16.966602</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>235.862518</td>\n",
|
||||
" <td>0.025195</td>\n",
|
||||
" <td>2.443661</td>\n",
|
||||
" <td>305.058400</td>\n",
|
||||
" <td>963.424100</td>\n",
|
||||
" <td>-3.654345</td>\n",
|
||||
" <td>0.188967</td>\n",
|
||||
" <td>64.824660</td>\n",
|
||||
" <td>1392.28394</td>\n",
|
||||
" <td>2025-12-19 04:07:07</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>14</th>\n",
|
||||
" <td>89.000120</td>\n",
|
||||
" <td>133.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>280.595900</td>\n",
|
||||
" <td>0.078859</td>\n",
|
||||
" <td>2.347593</td>\n",
|
||||
" <td>453.182526</td>\n",
|
||||
" <td>-0.409587</td>\n",
|
||||
" <td>389.169952</td>\n",
|
||||
" <td>-15.958172</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>238.099854</td>\n",
|
||||
" <td>0.025195</td>\n",
|
||||
" <td>5.168004</td>\n",
|
||||
" <td>417.250244</td>\n",
|
||||
" <td>852.529200</td>\n",
|
||||
" <td>-3.702983</td>\n",
|
||||
" <td>0.268095</td>\n",
|
||||
" <td>62.195198</td>\n",
|
||||
" <td>1645.46326</td>\n",
|
||||
" <td>2025-12-19 04:27:35</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>15</th>\n",
|
||||
" <td>91.002320</td>\n",
|
||||
" <td>130.000000</td>\n",
|
||||
" <td>100.442688</td>\n",
|
||||
" <td>283.037842</td>\n",
|
||||
" <td>0.109597</td>\n",
|
||||
" <td>2.547736</td>\n",
|
||||
" <td>364.069400</td>\n",
|
||||
" <td>-0.737562</td>\n",
|
||||
" <td>394.961900</td>\n",
|
||||
" <td>-18.296043</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>226.230900</td>\n",
|
||||
" <td>0.073010</td>\n",
|
||||
" <td>4.334429</td>\n",
|
||||
" <td>338.391663</td>\n",
|
||||
" <td>793.501953</td>\n",
|
||||
" <td>-4.727626</td>\n",
|
||||
" <td>0.003959</td>\n",
|
||||
" <td>72.804596</td>\n",
|
||||
" <td>1718.75586</td>\n",
|
||||
" <td>2025-12-21 14:12:47</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>16 rows × 33 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
"variable CI-J3J01S1 CI-J3P01T1A CI-J3P03S1 CI-W3A05F1 CI-W3A50A1 \\\n",
|
||||
"0 87.999020 238.000000 100.442688 272.869100 0.083338 \n",
|
||||
"1 87.999020 238.000000 100.442688 272.649200 0.083338 \n",
|
||||
"2 86.997925 228.200012 100.442688 264.225372 0.082358 \n",
|
||||
"3 86.997925 228.200012 100.442688 266.714172 0.082361 \n",
|
||||
"4 91.991210 139.299988 100.442688 280.392334 0.082361 \n",
|
||||
"5 90.001220 230.000000 100.442688 268.893158 0.083623 \n",
|
||||
"6 90.001220 230.000000 100.442688 269.359000 0.083623 \n",
|
||||
"7 90.001220 230.000000 100.442688 268.651978 0.083623 \n",
|
||||
"8 90.001220 230.000000 100.442688 270.836426 0.083623 \n",
|
||||
"9 90.001220 227.700012 100.442688 270.715637 0.089754 \n",
|
||||
"10 90.001220 227.700012 100.442688 270.661438 0.078859 \n",
|
||||
"11 90.001220 227.700012 100.442688 270.725159 0.078859 \n",
|
||||
"12 90.001220 227.700012 100.442688 269.977020 0.078859 \n",
|
||||
"13 90.001220 227.700012 100.442688 269.098000 0.078859 \n",
|
||||
"14 89.000120 133.000000 100.442688 280.595900 0.078859 \n",
|
||||
"15 91.002320 130.000000 100.442688 283.037842 0.109597 \n",
|
||||
"\n",
|
||||
"variable CI-W3A50A2 CI-W3A50A3 CI-W3A50P1 CI-W3A50T1 CI-W3A55P1 ... \\\n",
|
||||
"0 2.636171 589.246400 -0.923784 383.722400 -18.167961 ... \n",
|
||||
"1 2.267340 618.462100 -0.771080 381.468872 -17.495136 ... \n",
|
||||
"2 3.254068 444.800200 -0.789923 389.007800 -16.590466 ... \n",
|
||||
"3 2.444070 481.586060 -0.551620 390.612854 -16.791473 ... \n",
|
||||
"4 1.835279 436.144100 -0.486019 387.727000 -17.495136 ... \n",
|
||||
"5 2.572147 410.169100 -0.929219 395.898200 -16.390797 ... \n",
|
||||
"6 2.636187 417.679138 -0.837243 396.060272 -16.390797 ... \n",
|
||||
"7 2.483914 404.910522 -0.906091 396.222473 -16.390797 ... \n",
|
||||
"8 2.748308 403.442100 -0.939606 396.222473 -16.390797 ... \n",
|
||||
"9 2.644230 425.803000 -1.007370 396.384521 -16.725641 ... \n",
|
||||
"10 2.628080 435.462860 -0.962243 396.384521 -17.031452 ... \n",
|
||||
"11 2.628080 424.227722 -0.827545 396.384521 -17.031452 ... \n",
|
||||
"12 3.799854 350.998047 -0.901527 395.614441 -18.777557 ... \n",
|
||||
"13 3.325234 401.663940 -0.960138 392.380127 -16.966602 ... \n",
|
||||
"14 2.347593 453.182526 -0.409587 389.169952 -15.958172 ... \n",
|
||||
"15 2.547736 364.069400 -0.737562 394.961900 -18.296043 ... \n",
|
||||
"\n",
|
||||
"variable CI-W3V33P1 CI-W3W01A1 CI-W3W01A2 CI-W3W01A3 CI-W3W01G1 \\\n",
|
||||
"0 259.565500 0.008220 4.190174 376.848267 600.466900 \n",
|
||||
"1 263.099854 0.008220 2.611867 435.797668 600.466900 \n",
|
||||
"2 223.346313 0.085927 9.447197 343.596000 600.000000 \n",
|
||||
"3 240.661469 0.085927 9.324739 462.062256 600.000000 \n",
|
||||
"4 249.935165 0.059602 5.359922 367.250300 600.000000 \n",
|
||||
"5 241.309967 0.002000 4.262301 340.296700 880.778200 \n",
|
||||
"6 239.364624 0.002000 3.964616 318.547300 935.914368 \n",
|
||||
"7 239.364624 0.002000 4.766942 314.721130 903.813232 \n",
|
||||
"8 239.364624 0.001362 4.637836 325.616100 909.961060 \n",
|
||||
"9 239.040222 0.001361 5.083293 349.286682 949.923500 \n",
|
||||
"10 239.364441 0.108690 5.151842 353.761353 949.961060 \n",
|
||||
"11 239.364441 0.108690 4.830516 353.761353 893.074000 \n",
|
||||
"12 226.556274 0.108690 5.567447 312.856700 887.664734 \n",
|
||||
"13 235.862518 0.025195 2.443661 305.058400 963.424100 \n",
|
||||
"14 238.099854 0.025195 5.168004 417.250244 852.529200 \n",
|
||||
"15 226.230900 0.073010 4.334429 338.391663 793.501953 \n",
|
||||
"\n",
|
||||
"variable CI-W3W01P1 CI-W3W01P2 CI-W3W03I1 CI-W3W03S1 timestamp \n",
|
||||
"0 -3.109598 0.221798 63.605830 1545.50293 2025-12-17 22:12:42 \n",
|
||||
"1 -3.030156 0.153527 65.785706 1545.50293 2025-12-17 22:41:54 \n",
|
||||
"2 -2.436767 0.350289 69.886520 1616.15491 2025-12-18 19:08:08 \n",
|
||||
"3 -3.030156 0.208616 64.659730 1628.22876 2025-12-18 19:23:08 \n",
|
||||
"4 -3.286316 0.276372 59.949337 1691.23462 2025-12-18 19:31:54 \n",
|
||||
"5 -3.671064 0.248075 65.195390 1609.20154 2025-12-18 19:34:28 \n",
|
||||
"6 -3.477627 0.248075 63.284638 1609.20154 2025-12-18 19:35:19 \n",
|
||||
"7 -3.797625 0.248075 64.601974 1645.86389 2025-12-18 19:39:04 \n",
|
||||
"8 -3.605707 0.248075 62.869644 1646.51428 2025-12-18 19:40:58 \n",
|
||||
"9 -3.702983 0.208413 65.850296 1647.25537 2025-12-18 20:12:23 \n",
|
||||
"10 -3.733788 0.207413 64.788740 1644.68042 2025-12-19 03:26:44 \n",
|
||||
"11 -3.733788 0.207413 64.788740 1644.68042 2025-12-19 03:32:37 \n",
|
||||
"12 -3.445201 0.188967 65.376144 1644.68042 2025-12-19 03:59:20 \n",
|
||||
"13 -3.654345 0.188967 64.824660 1392.28394 2025-12-19 04:07:07 \n",
|
||||
"14 -3.702983 0.268095 62.195198 1645.46326 2025-12-19 04:27:35 \n",
|
||||
"15 -4.727626 0.003959 72.804596 1718.75586 2025-12-21 14:12:47 \n",
|
||||
"\n",
|
||||
"[16 rows x 33 columns]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from pandas import read_csv, to_datetime\n",
|
||||
"\n",
|
||||
"df = read_csv('/home/grezewave/Downloads/laborious_data_202512220821.csv')\n",
|
||||
"data = df.pivot(index='timestamp', columns='variable', values='value')\n",
|
||||
"data['timestamp'] = data.index\n",
|
||||
"\n",
|
||||
"#Remove tz from timestamp\n",
|
||||
"data['timestamp'] = to_datetime(data['timestamp'])\n",
|
||||
"data['timestamp'] = data['timestamp'].dt.tz_localize(None)\n",
|
||||
"\n",
|
||||
"# Back to string and add \"\"\n",
|
||||
"data['timestamp'] = data['timestamp'].dt.strftime('%Y-%m-%d %H:%M:%S')\n",
|
||||
"data.reset_index(drop=True, inplace=True)\n",
|
||||
"data.to_csv('VC-model-data.csv', index=False)\n",
|
||||
"\n",
|
||||
"display(data)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "venv",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.14"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -3,6 +3,7 @@ from unittest.mock import ANY, MagicMock, patch
|
||||
from sientia_do.temporal.activities.postgres import Postgres
|
||||
|
||||
from scouter.activities.activities import Activities
|
||||
from scouter.activities.api import API
|
||||
from scouter.activities.gates import Gates
|
||||
from scouter.activities.mongodb import MongoDB
|
||||
from scouter.activities.redis import Redis
|
||||
@@ -12,9 +13,15 @@ from scouter.activities.redis import Redis
|
||||
@patch('scouter.activities.activities.Postgres.__init__')
|
||||
@patch('scouter.activities.activities.Redis.__init__')
|
||||
@patch('scouter.activities.activities.Gates.__init__')
|
||||
@patch('scouter.activities.activities.API.__init__')
|
||||
@patch('scouter.activities.activities.MetricsController')
|
||||
def test___init__(
|
||||
mock_metrics_controller, mock_gates_init, mock_redis_init, mock_postgres_init, mock_mongodb_init
|
||||
mock_metrics_controller,
|
||||
mock_api_init,
|
||||
mock_gates_init,
|
||||
mock_redis_init,
|
||||
mock_postgres_init,
|
||||
mock_mongodb_init,
|
||||
):
|
||||
postgres_config = {
|
||||
'host': 'localhost',
|
||||
@@ -33,6 +40,12 @@ def test___init__(
|
||||
'database_name': 'test_database',
|
||||
}
|
||||
|
||||
api_config = {
|
||||
'base_url': 'https://api.example.com',
|
||||
'auth_type': 'bearer',
|
||||
'auth_token': 'test_token',
|
||||
}
|
||||
|
||||
logger = MagicMock()
|
||||
notification_handler = MagicMock()
|
||||
|
||||
@@ -40,6 +53,7 @@ def test___init__(
|
||||
postgres_config=postgres_config,
|
||||
redis_config=redis_config,
|
||||
mongodb_config=mongodb_config,
|
||||
api_config=api_config,
|
||||
logger=logger,
|
||||
notification_handler=notification_handler,
|
||||
)
|
||||
@@ -49,6 +63,7 @@ def test___init__(
|
||||
assert isinstance(activities, Redis)
|
||||
assert isinstance(activities, MongoDB)
|
||||
assert isinstance(activities, Gates)
|
||||
assert isinstance(activities, API)
|
||||
|
||||
mock_postgres_init.assert_called_once_with(
|
||||
ANY,
|
||||
@@ -91,20 +106,34 @@ def test___init__(
|
||||
metrics_controller=mock_metrics_controller.return_value,
|
||||
)
|
||||
|
||||
mock_api_init.assert_called_once_with(
|
||||
ANY,
|
||||
base_url=api_config['base_url'],
|
||||
auth_type=api_config['auth_type'],
|
||||
auth_token=api_config['auth_token'],
|
||||
logger=logger,
|
||||
notification_handler=notification_handler,
|
||||
metrics_controller=mock_metrics_controller.return_value,
|
||||
)
|
||||
|
||||
|
||||
@patch('scouter.activities.activities.Postgres.__init__')
|
||||
@patch('scouter.activities.activities.Redis.__init__')
|
||||
@patch('scouter.activities.activities.Gates.__init__')
|
||||
@patch('scouter.activities.activities.MongoDB.__init__')
|
||||
@patch('scouter.activities.activities.API.__init__')
|
||||
@patch('scouter.activities.activities.Postgres.close')
|
||||
@patch('scouter.activities.activities.MongoDB.close')
|
||||
@patch('scouter.activities.activities.Redis.close')
|
||||
@patch('scouter.activities.activities.Gates.close')
|
||||
@patch('scouter.activities.activities.API.close')
|
||||
def test_shutdown(
|
||||
mock_api_close,
|
||||
mock_gates_close,
|
||||
mock_redis_close,
|
||||
mock_mongodb_close,
|
||||
mock_postgres_close,
|
||||
_mock_api_init,
|
||||
_mock_mongodb_init,
|
||||
_mock_gates_init,
|
||||
_mock_redis_init,
|
||||
@@ -127,6 +156,12 @@ def test_shutdown(
|
||||
'database_name': 'test_database',
|
||||
}
|
||||
|
||||
api_config = {
|
||||
'base_url': 'https://api.example.com',
|
||||
'auth_type': 'bearer',
|
||||
'auth_token': 'test_token',
|
||||
}
|
||||
|
||||
logger = MagicMock()
|
||||
notification_handler = MagicMock()
|
||||
|
||||
@@ -134,6 +169,7 @@ def test_shutdown(
|
||||
postgres_config=postgres_config,
|
||||
redis_config=redis_config,
|
||||
mongodb_config=mongodb_config,
|
||||
api_config=api_config,
|
||||
logger=logger,
|
||||
notification_handler=notification_handler,
|
||||
)
|
||||
@@ -144,3 +180,4 @@ def test_shutdown(
|
||||
mock_mongodb_close.assert_called()
|
||||
mock_redis_close.assert_called()
|
||||
mock_gates_close.assert_called()
|
||||
mock_api_close.assert_called()
|
||||
|
||||
337
tests/activities/test_api.py
Normal file
337
tests/activities/test_api.py
Normal file
@@ -0,0 +1,337 @@
|
||||
from unittest.mock import ANY, AsyncMock, MagicMock, patch
|
||||
|
||||
import pandas as pd
|
||||
import pytest
|
||||
from sientia_do.notifications.models import NotificationLevel
|
||||
|
||||
from scouter.activities.api import API
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
@patch('scouter.activities.api.PIWebAPIClient')
|
||||
def api_activity(mock_pi_web_api_client):
|
||||
"""Fixture to create an API activity instance with mocked dependencies."""
|
||||
logger = MagicMock()
|
||||
notification_handler = MagicMock()
|
||||
metrics_controller = MagicMock()
|
||||
|
||||
activity = API(
|
||||
base_url='https://pi.example.com',
|
||||
auth_type='basic',
|
||||
auth_token='test_token',
|
||||
logger=logger,
|
||||
notification_handler=notification_handler,
|
||||
metrics_controller=metrics_controller,
|
||||
)
|
||||
|
||||
activity.logger = logger
|
||||
activity.notification_handler = notification_handler
|
||||
activity.metrics_controller = metrics_controller
|
||||
activity.pod_id = 'test_pod_id'
|
||||
|
||||
return activity
|
||||
|
||||
|
||||
metadata = {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'pi_web_api_scouter',
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@patch('scouter.activities.api.PIWebAPIClient')
|
||||
def test_api_initialization(mock_pi_web_api_client):
|
||||
"""Test API activity initialization."""
|
||||
logger = MagicMock()
|
||||
notification_handler = MagicMock()
|
||||
metrics_controller = MagicMock()
|
||||
|
||||
activity = API(
|
||||
base_url='https://pi.example.com',
|
||||
auth_type='basic',
|
||||
auth_token='test_token',
|
||||
logger=logger,
|
||||
notification_handler=notification_handler,
|
||||
metrics_controller=metrics_controller,
|
||||
)
|
||||
|
||||
mock_pi_web_api_client.assert_called_once_with(
|
||||
base_url='https://pi.example.com',
|
||||
auth_config={
|
||||
'type': 'basic',
|
||||
'token': 'test_token',
|
||||
},
|
||||
logger=logger,
|
||||
notification_handler=notification_handler,
|
||||
metrics_controller=metrics_controller,
|
||||
)
|
||||
|
||||
assert activity.pi_web_api_client is not None
|
||||
|
||||
|
||||
@patch('scouter.activities.api.SientiaMonitoring')
|
||||
def test_close(mock_sientia_monitoring, api_activity):
|
||||
"""Test close method."""
|
||||
api_activity.close()
|
||||
api_activity.pi_web_api_client.close.assert_called_once()
|
||||
mock_sientia_monitoring.shutdown.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_tag_values_success(api_activity):
|
||||
"""Test get_tag_values with successful data retrieval."""
|
||||
# Setup test data
|
||||
test_data = {
|
||||
**metadata,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'web_ids': {
|
||||
'tag1': {
|
||||
'webid': 'webid1',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
},
|
||||
'tag2': {
|
||||
'webid': 'webid2',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
},
|
||||
'tag3': {
|
||||
'webid': 'webid3',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
},
|
||||
},
|
||||
'period': '*-1d',
|
||||
'max_count': 10,
|
||||
'api_timeout': 30,
|
||||
}
|
||||
|
||||
# Mock DataFrame response
|
||||
mock_df = pd.DataFrame(
|
||||
{
|
||||
'timestamp': [
|
||||
'2023-01-01 12:00:00+0000',
|
||||
'2023-01-01 12:01:00+0000',
|
||||
'2023-01-01 12:02:00+0000',
|
||||
],
|
||||
'name': ['tag1', 'tag2', 'tag3'],
|
||||
'value': [10.5, 20.3, 30.7],
|
||||
'tag': ['webid1', 'webid2', 'webid3'],
|
||||
}
|
||||
)
|
||||
|
||||
mock_df['timestamp'] = pd.to_datetime(mock_df['timestamp'])
|
||||
|
||||
api_activity.pi_web_api_client.get_latest_values_df = AsyncMock(return_value=mock_df)
|
||||
|
||||
# Execute
|
||||
result = await api_activity.get_tag_values(test_data)
|
||||
|
||||
# Verify
|
||||
api_activity.pi_web_api_client.get_latest_values_df.assert_called_once_with(
|
||||
endpoint='/streamsets/recorded',
|
||||
web_ids={
|
||||
'tag1': {'webid': 'webid1', 'aggr_function': 'avg', 'data_range': [0, 100]},
|
||||
'tag2': {'webid': 'webid2', 'aggr_function': 'avg', 'data_range': [0, 100]},
|
||||
'tag3': {'webid': 'webid3', 'aggr_function': 'avg', 'data_range': [0, 100]},
|
||||
},
|
||||
start_time='*-1d',
|
||||
max_count=10,
|
||||
metadata=metadata['metadata'],
|
||||
timeout=30,
|
||||
)
|
||||
|
||||
assert len(result) == 3
|
||||
assert result[0]['name'] == 'tag1'
|
||||
assert result[0]['value'] == 10.5
|
||||
assert result[1]['name'] == 'tag2'
|
||||
assert result[2]['name'] == 'tag3'
|
||||
assert result[0]['timestamp'] == '2023-01-01 12:02:00+0000'
|
||||
assert result[1]['timestamp'] == '2023-01-01 12:02:00+0000'
|
||||
assert result[2]['timestamp'] == '2023-01-01 12:02:00+0000'
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_tag_values_with_default_max_count(api_activity):
|
||||
"""Test get_tag_values with default max_count value."""
|
||||
# Setup test data without max_count
|
||||
test_data = {
|
||||
**metadata,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'web_ids': {
|
||||
'tag1': {
|
||||
'webid': 'webid1',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
}
|
||||
},
|
||||
'period': '*-1h',
|
||||
'api_timeout': 15,
|
||||
}
|
||||
|
||||
mock_df = pd.DataFrame(
|
||||
{
|
||||
'timestamp': ['2023-01-01 12:00:00+0000'],
|
||||
'name': ['tag1'],
|
||||
'value': [42.0],
|
||||
'tag': ['webid1'],
|
||||
}
|
||||
)
|
||||
|
||||
mock_df['timestamp'] = pd.to_datetime(mock_df['timestamp'])
|
||||
|
||||
api_activity.pi_web_api_client.get_latest_values_df = AsyncMock(return_value=mock_df)
|
||||
|
||||
# Execute
|
||||
result = await api_activity.get_tag_values(test_data)
|
||||
|
||||
# Verify default max_count is 1
|
||||
api_activity.pi_web_api_client.get_latest_values_df.assert_called_once_with(
|
||||
endpoint='/streamsets/recorded',
|
||||
web_ids={'tag1': {'webid': 'webid1', 'aggr_function': 'avg', 'data_range': [0, 100]}},
|
||||
start_time='*-1h',
|
||||
max_count=1,
|
||||
metadata=metadata['metadata'],
|
||||
timeout=15,
|
||||
)
|
||||
|
||||
assert len(result) == 1
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_tag_values_with_none_webids(api_activity):
|
||||
"""Test get_tag_values with some None WebIds."""
|
||||
# Setup test data with None values
|
||||
test_data = {
|
||||
**metadata,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'web_ids': {
|
||||
'tag1': {
|
||||
'webid': 'webid1',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
},
|
||||
'tag2': None,
|
||||
'tag3': {
|
||||
'webid': 'webid3',
|
||||
'aggr_function': 'max',
|
||||
'data_range': [0, 200],
|
||||
},
|
||||
},
|
||||
'period': '*-1h',
|
||||
'max_count': 5,
|
||||
'api_timeout': 20,
|
||||
}
|
||||
|
||||
mock_df = pd.DataFrame(
|
||||
{
|
||||
'timestamp': ['2023-01-01 12:00:00+0000', '2023-01-01 12:01:00+0000'],
|
||||
'name': ['tag1', 'tag3'],
|
||||
'value': [10.5, 30.7],
|
||||
'tag': ['webid1', 'webid3'],
|
||||
}
|
||||
)
|
||||
|
||||
mock_df['timestamp'] = pd.to_datetime(mock_df['timestamp'])
|
||||
|
||||
api_activity.pi_web_api_client.get_latest_values_df = AsyncMock(return_value=mock_df)
|
||||
|
||||
# Execute
|
||||
result = await api_activity.get_tag_values(test_data)
|
||||
|
||||
# Verify - should only query non-None WebIds
|
||||
assert len(result) == 2
|
||||
assert all(r['name'] in ['tag1', 'tag3'] for r in result)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_tag_values_api_error(api_activity):
|
||||
"""Test get_tag_values when PI Web API client raises an error and sends notification."""
|
||||
# Setup test data
|
||||
test_data = {
|
||||
**metadata,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'web_ids': {
|
||||
'tag1': {
|
||||
'webid': 'webid1',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
}
|
||||
},
|
||||
'period': '*-1d',
|
||||
'max_count': 1,
|
||||
'api_timeout': 30,
|
||||
}
|
||||
|
||||
# Mock API error
|
||||
api_activity.pi_web_api_client.get_latest_values_df = AsyncMock(
|
||||
side_effect=Exception('PI Web API connection error')
|
||||
)
|
||||
api_activity.send_notification_async = AsyncMock()
|
||||
|
||||
# Execute and verify exception is raised
|
||||
with pytest.raises(Exception) as exc_info:
|
||||
await api_activity.get_tag_values(test_data)
|
||||
|
||||
assert str(exc_info.value) == 'PI Web API connection error'
|
||||
|
||||
# Verify notification was sent
|
||||
api_activity.send_notification_async.assert_called_once_with(
|
||||
metadata=metadata['metadata'],
|
||||
notification_id='PI_WEB_API_REQUEST_ERROR',
|
||||
message='Error getting tag values from PI Web API: PI Web API connection error',
|
||||
block='get_tag_values',
|
||||
level=NotificationLevel.ERROR,
|
||||
attachment_content=ANY,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_tag_values_with_nan_values(api_activity):
|
||||
"""Test get_tag_values handling NaN values in the DataFrame."""
|
||||
# Setup test data
|
||||
test_data = {
|
||||
**metadata,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'web_ids': {
|
||||
'tag1': {
|
||||
'webid': 'webid1',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
},
|
||||
'tag2': {
|
||||
'webid': 'webid2',
|
||||
'aggr_function': 'avg',
|
||||
'data_range': [0, 100],
|
||||
},
|
||||
},
|
||||
'period': '*-1d',
|
||||
'max_count': 1,
|
||||
'api_timeout': 30,
|
||||
}
|
||||
|
||||
# Mock DataFrame with NaN values
|
||||
mock_df = pd.DataFrame(
|
||||
{
|
||||
'timestamp': ['2023-01-01 12:00:00+0000', '2023-01-01 12:00:00+0000'],
|
||||
'name': ['tag1', 'tag2'],
|
||||
'value': [10.0, float('nan')],
|
||||
'tag': ['webid1', 'webid2'],
|
||||
}
|
||||
)
|
||||
|
||||
mock_df['timestamp'] = pd.to_datetime(mock_df['timestamp'])
|
||||
|
||||
api_activity.pi_web_api_client.get_latest_values_df = AsyncMock(return_value=mock_df)
|
||||
|
||||
# Execute
|
||||
result = await api_activity.get_tag_values(test_data)
|
||||
|
||||
# Verify
|
||||
assert len(result) == 2
|
||||
assert result[0]['value'] == 10.0
|
||||
# NaN should be preserved in the result
|
||||
assert pd.isna(result[1]['value'])
|
||||
0
tests/utils/clients/__init__.py
Normal file
0
tests/utils/clients/__init__.py
Normal file
560
tests/utils/clients/test_pi_web_api_client.py
Normal file
560
tests/utils/clients/test_pi_web_api_client.py
Normal file
@@ -0,0 +1,560 @@
|
||||
import json
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import pandas as pd
|
||||
import pycurl
|
||||
import pytest
|
||||
|
||||
from scouter.utils.clients.pi_web_api_client import PIMSRequestError, PIWebAPIClient
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_logger():
|
||||
return MagicMock()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_notification_handler():
|
||||
return AsyncMock()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_metrics_controller():
|
||||
return AsyncMock()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def auth_config_basic():
|
||||
return {'type': 'basic', 'token': 'test_token_123'}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def auth_config_bearer():
|
||||
return {'type': 'bearer', 'token': 'bearer_token_456'}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def pi_client(mock_logger, mock_notification_handler, mock_metrics_controller, auth_config_basic):
|
||||
return PIWebAPIClient(
|
||||
base_url='https://pi.example.com',
|
||||
auth_config=auth_config_basic,
|
||||
logger=mock_logger,
|
||||
notification_handler=mock_notification_handler,
|
||||
metrics_controller=mock_metrics_controller,
|
||||
)
|
||||
|
||||
|
||||
def test_init_with_basic_auth(
|
||||
mock_logger, mock_notification_handler, mock_metrics_controller, auth_config_basic
|
||||
):
|
||||
"""Test initialization with basic authentication"""
|
||||
client = PIWebAPIClient(
|
||||
base_url='https://pi.example.com/',
|
||||
auth_config=auth_config_basic,
|
||||
logger=mock_logger,
|
||||
notification_handler=mock_notification_handler,
|
||||
metrics_controller=mock_metrics_controller,
|
||||
)
|
||||
|
||||
assert client.base_url == 'https://pi.example.com'
|
||||
assert client.auth_config['type'] == 'basic'
|
||||
assert client.headers['Authorization'] == 'Basic test_token_123'
|
||||
assert client.headers['Content-Type'] == 'application/json'
|
||||
assert client.headers['Accept'] == 'application/json'
|
||||
mock_logger.info.assert_called_with('Authenticating with basic authentication')
|
||||
|
||||
|
||||
def test_init_with_bearer_auth(
|
||||
mock_logger, mock_notification_handler, mock_metrics_controller, auth_config_bearer
|
||||
):
|
||||
"""Test initialization with bearer authentication"""
|
||||
client = PIWebAPIClient(
|
||||
base_url='https://pi.example.com',
|
||||
auth_config=auth_config_bearer,
|
||||
logger=mock_logger,
|
||||
notification_handler=mock_notification_handler,
|
||||
metrics_controller=mock_metrics_controller,
|
||||
)
|
||||
|
||||
assert client.base_url == 'https://pi.example.com'
|
||||
assert client.auth_config['type'] == 'bearer'
|
||||
assert client.headers['Authorization'] == 'Bearer bearer_token_456'
|
||||
mock_logger.info.assert_called_with('Authenticating with bearer authentication')
|
||||
|
||||
|
||||
def test_init_with_custom_headers(
|
||||
mock_logger, mock_notification_handler, mock_metrics_controller, auth_config_basic
|
||||
):
|
||||
"""Test initialization with custom headers"""
|
||||
custom_headers = {
|
||||
'Content-Type': 'application/xml',
|
||||
'Custom-Header': 'custom_value',
|
||||
}
|
||||
|
||||
client = PIWebAPIClient(
|
||||
base_url='https://pi.example.com',
|
||||
auth_config=auth_config_basic,
|
||||
logger=mock_logger,
|
||||
notification_handler=mock_notification_handler,
|
||||
metrics_controller=mock_metrics_controller,
|
||||
headers_config=custom_headers,
|
||||
)
|
||||
|
||||
assert client.headers['Content-Type'] == 'application/xml'
|
||||
assert client.headers['Custom-Header'] == 'custom_value'
|
||||
assert client.headers['Authorization'] == 'Basic test_token_123'
|
||||
|
||||
|
||||
def test_authenticate_invalid_type(mock_logger, mock_notification_handler, mock_metrics_controller):
|
||||
"""Test that invalid authentication type raises ValueError"""
|
||||
invalid_auth_config = {'type': 'invalid', 'token': 'test_token'}
|
||||
|
||||
with pytest.raises(ValueError) as exc_info:
|
||||
PIWebAPIClient(
|
||||
base_url='https://pi.example.com',
|
||||
auth_config=invalid_auth_config,
|
||||
logger=mock_logger,
|
||||
notification_handler=mock_notification_handler,
|
||||
metrics_controller=mock_metrics_controller,
|
||||
)
|
||||
|
||||
assert 'Invalid authentication type: invalid' in str(exc_info.value)
|
||||
|
||||
|
||||
@patch('scouter.utils.clients.pi_web_api_client.SientiaMonitoring.shutdown')
|
||||
def test_close(mock_shutdown, pi_client):
|
||||
"""Test close method calls shutdown"""
|
||||
pi_client.close()
|
||||
|
||||
mock_shutdown.assert_called_once()
|
||||
|
||||
|
||||
def test_to_clean_timestamp(pi_client):
|
||||
"""Test timestamp cleaning and normalization"""
|
||||
timestamps = pd.Series(
|
||||
[
|
||||
'2025-01-15T10:30:45.123456Z',
|
||||
'2025-01-15T10:30:46.789012Z',
|
||||
'2025-01-15T10:30:47.999999Z',
|
||||
]
|
||||
)
|
||||
|
||||
result = pi_client._to_clean_timestamp(timestamps)
|
||||
|
||||
assert isinstance(result, pd.Series)
|
||||
assert result.dtype == 'datetime64[ns, UTC]'
|
||||
# Verify microseconds are floored to seconds
|
||||
assert result[0] == pd.Timestamp('2025-01-15T10:30:45Z')
|
||||
assert result[1] == pd.Timestamp('2025-01-15T10:30:46Z')
|
||||
assert result[2] == pd.Timestamp('2025-01-15T10:30:47Z')
|
||||
|
||||
|
||||
def test_to_clean_timestamp_with_invalid_values(pi_client):
|
||||
"""Test timestamp cleaning with invalid values returns NaT"""
|
||||
timestamps = pd.Series(['invalid', 'not_a_date', '2025-01-15T10:30:45Z'])
|
||||
|
||||
result = pi_client._to_clean_timestamp(timestamps)
|
||||
|
||||
assert pd.isna(result[0])
|
||||
assert pd.isna(result[1])
|
||||
assert result[2] == pd.Timestamp('2025-01-15T10:30:45Z')
|
||||
|
||||
|
||||
def test_extract_numeric_with_float(pi_client):
|
||||
"""Test extracting numeric value from float"""
|
||||
result = pi_client._extract_numeric(42.5)
|
||||
|
||||
assert result == 42.5
|
||||
|
||||
|
||||
def test_extract_numeric_with_int(pi_client):
|
||||
"""Test extracting numeric value from int"""
|
||||
result = pi_client._extract_numeric(42)
|
||||
|
||||
assert result == 42.0
|
||||
|
||||
|
||||
def test_extract_numeric_with_string(pi_client):
|
||||
"""Test extracting numeric value from string"""
|
||||
result = pi_client._extract_numeric('123.45')
|
||||
|
||||
assert result == 123.45
|
||||
|
||||
|
||||
def test_extract_numeric_with_dict(pi_client):
|
||||
"""Test extracting numeric value from dictionary"""
|
||||
result = pi_client._extract_numeric({'Value': 99.9})
|
||||
|
||||
assert result == 99.9
|
||||
|
||||
|
||||
def test_extract_numeric_with_invalid_value(pi_client):
|
||||
"""Test extracting numeric value from invalid value returns None/NaN"""
|
||||
result = pi_client._extract_numeric('invalid_number')
|
||||
|
||||
assert pd.isna(result)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_success(mock_curl_class, pi_client):
|
||||
"""Test successful GET request with JSON response"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
response_data = {'status': 'success', 'data': [1, 2, 3]}
|
||||
response_json = json.dumps(response_data).encode('utf-8')
|
||||
|
||||
def mock_perform():
|
||||
buffer = mock_curl.setopt.call_args_list[1][0][1]
|
||||
buffer.write(response_json)
|
||||
|
||||
mock_curl.perform.side_effect = mock_perform
|
||||
mock_curl.getinfo.return_value = 200
|
||||
|
||||
result = await pi_client._curl_get_json('https://pi.example.com/api/test')
|
||||
|
||||
assert result == response_data
|
||||
mock_curl.setopt.assert_any_call(pycurl.TIMEOUT, 30)
|
||||
mock_curl.perform.assert_called_once()
|
||||
mock_curl.close.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_with_params(mock_curl_class, pi_client):
|
||||
"""Test GET request with query parameters"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
response_data = {'result': 'ok'}
|
||||
response_json = json.dumps(response_data).encode('utf-8')
|
||||
|
||||
def mock_perform():
|
||||
buffer = mock_curl.setopt.call_args_list[1][0][1]
|
||||
buffer.write(response_json)
|
||||
|
||||
mock_curl.perform.side_effect = mock_perform
|
||||
mock_curl.getinfo.return_value = 200
|
||||
|
||||
params = [('key1', 'value1'), ('key2', 'value2')]
|
||||
result = await pi_client._curl_get_json('https://pi.example.com/api', params=params)
|
||||
|
||||
assert result == response_data
|
||||
# Verify URL includes query parameters
|
||||
set_url_call = [call for call in mock_curl.setopt.call_args_list if call[0][0] == pycurl.URL][0]
|
||||
assert b'key1=value1' in set_url_call[0][1]
|
||||
assert b'key2=value2' in set_url_call[0][1]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_http_error(mock_curl_class, pi_client):
|
||||
"""Test GET request with HTTP error response"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
error_response = b'{"error": "Not found"}'
|
||||
|
||||
def mock_perform():
|
||||
buffer = mock_curl.setopt.call_args_list[1][0][1]
|
||||
buffer.write(error_response)
|
||||
|
||||
mock_curl.perform.side_effect = mock_perform
|
||||
mock_curl.getinfo.return_value = 404
|
||||
|
||||
with pytest.raises(PIMSRequestError) as exc_info:
|
||||
await pi_client._curl_get_json('https://pi.example.com/api/notfound')
|
||||
|
||||
assert 'HTTP 404' in str(exc_info.value)
|
||||
mock_curl.close.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_connection_error(mock_curl_class, pi_client):
|
||||
"""Test GET request with connection error"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
mock_curl.perform.side_effect = pycurl.error('Connection failed')
|
||||
|
||||
with pytest.raises(PIMSRequestError) as exc_info:
|
||||
await pi_client._curl_get_json('https://pi.example.com/api/test')
|
||||
|
||||
assert 'Connection error' in str(exc_info.value)
|
||||
mock_curl.close.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_invalid_json(mock_curl_class, pi_client):
|
||||
"""Test GET request with invalid JSON response"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
invalid_json = b'This is not valid JSON'
|
||||
|
||||
def mock_perform():
|
||||
buffer = mock_curl.setopt.call_args_list[1][0][1]
|
||||
buffer.write(invalid_json)
|
||||
|
||||
mock_curl.perform.side_effect = mock_perform
|
||||
mock_curl.getinfo.return_value = 200
|
||||
|
||||
with pytest.raises(PIMSRequestError) as exc_info:
|
||||
await pi_client._curl_get_json('https://pi.example.com/api/test')
|
||||
|
||||
assert 'Error decoding JSON response' in str(exc_info.value)
|
||||
mock_curl.close.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_with_custom_timeout(mock_curl_class, pi_client):
|
||||
"""Test GET request with custom timeout"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
response_data = {'status': 'ok'}
|
||||
response_json = json.dumps(response_data).encode('utf-8')
|
||||
|
||||
def mock_perform():
|
||||
buffer = mock_curl.setopt.call_args_list[1][0][1]
|
||||
buffer.write(response_json)
|
||||
|
||||
mock_curl.perform.side_effect = mock_perform
|
||||
mock_curl.getinfo.return_value = 200
|
||||
|
||||
await pi_client._curl_get_json('https://pi.example.com/api/test', timeout=60)
|
||||
|
||||
mock_curl.setopt.assert_any_call(pycurl.TIMEOUT, 60)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.utils.clients.pi_web_api_client.pycurl.Curl')
|
||||
async def test_curl_get_json_without_ssl_verify(mock_curl_class, pi_client):
|
||||
"""Test GET request with SSL verification disabled"""
|
||||
mock_curl = MagicMock()
|
||||
mock_curl_class.return_value = mock_curl
|
||||
|
||||
response_data = {'status': 'ok'}
|
||||
response_json = json.dumps(response_data).encode('utf-8')
|
||||
|
||||
def mock_perform():
|
||||
buffer = mock_curl.setopt.call_args_list[1][0][1]
|
||||
buffer.write(response_json)
|
||||
|
||||
mock_curl.perform.side_effect = mock_perform
|
||||
mock_curl.getinfo.return_value = 200
|
||||
|
||||
await pi_client._curl_get_json('https://pi.example.com/api/test', verify=False)
|
||||
|
||||
mock_curl.setopt.assert_any_call(pycurl.SSL_VERIFYPEER, 0)
|
||||
mock_curl.setopt.assert_any_call(pycurl.SSL_VERIFYHOST, 0)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_success(mock_curl_get_json, pi_client):
|
||||
"""Test successful retrieval of latest values"""
|
||||
mock_curl_get_json.return_value = {
|
||||
'Items': [
|
||||
{
|
||||
'Name': 'tag1',
|
||||
'Items': [
|
||||
{'Timestamp': '2025-01-15T10:30:00Z', 'Value': 42.5},
|
||||
{'Timestamp': '2025-01-15T10:31:00Z', 'Value': 43.0},
|
||||
],
|
||||
},
|
||||
{
|
||||
'Name': 'tag2',
|
||||
'Items': [
|
||||
{'Timestamp': '2025-01-15T10:30:00Z', 'Value': 100.0},
|
||||
],
|
||||
},
|
||||
]
|
||||
}
|
||||
|
||||
web_ids = {
|
||||
'tag1': {'webid': 'webid1'},
|
||||
'tag2': {'webid': 'webid2'},
|
||||
}
|
||||
|
||||
result = await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
start_time='*-1d',
|
||||
end_time='*',
|
||||
max_count=10,
|
||||
)
|
||||
|
||||
assert isinstance(result, pd.DataFrame)
|
||||
assert len(result) == 3
|
||||
assert list(result.columns) == ['timestamp', 'name', 'value', 'tag']
|
||||
assert result['name'].tolist() == ['tag1', 'tag1', 'tag2']
|
||||
assert result['value'].tolist() == [42.5, 43.0, 100.0]
|
||||
|
||||
mock_curl_get_json.assert_called_once()
|
||||
call_args = mock_curl_get_json.call_args
|
||||
assert call_args[1]['url'] == 'https://pi.example.com/streamsets/recorded'
|
||||
assert call_args[1]['timeout'] == 30
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_with_custom_params(mock_curl_get_json, pi_client):
|
||||
"""Test get_latest_values_df with custom parameters"""
|
||||
mock_curl_get_json.return_value = {
|
||||
'Items': [
|
||||
{
|
||||
'Name': 'tag1',
|
||||
'Items': [
|
||||
{'Timestamp': '2025-01-15T10:30:00Z', 'Value': 42.5},
|
||||
],
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
web_ids = {'tag1': {'webid': 'webid1'}}
|
||||
metadata = {'model_id': 'test_model'}
|
||||
|
||||
result = await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
start_time='*-7d',
|
||||
end_time='*-1d',
|
||||
max_count=100,
|
||||
timeout=60,
|
||||
metadata=metadata,
|
||||
)
|
||||
|
||||
assert isinstance(result, pd.DataFrame)
|
||||
assert len(result) == 1
|
||||
|
||||
mock_curl_get_json.assert_called_once()
|
||||
call_args = mock_curl_get_json.call_args
|
||||
params = call_args[1]['params']
|
||||
|
||||
# Verify parameters
|
||||
assert ('startTime', '*-7d') in params
|
||||
assert ('endtime', '*-1d') in params
|
||||
assert ('maxCount', '100') in params
|
||||
assert call_args[1]['timeout'] == 60
|
||||
assert call_args[1]['metadata'] == metadata
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_empty_response(mock_curl_get_json, pi_client):
|
||||
"""Test get_latest_values_df with empty response"""
|
||||
mock_curl_get_json.return_value = {'Items': []}
|
||||
|
||||
web_ids = {'tag1': {'webid': 'webid1'}}
|
||||
|
||||
result = await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
)
|
||||
|
||||
assert isinstance(result, pd.DataFrame)
|
||||
assert len(result) == 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_no_items_in_tag(mock_curl_get_json, pi_client):
|
||||
"""Test get_latest_values_df when tag has no items"""
|
||||
mock_curl_get_json.return_value = {
|
||||
'Items': [
|
||||
{
|
||||
'Name': 'tag1',
|
||||
'Items': [],
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
web_ids = {'tag1': {'webid': 'webid1'}}
|
||||
|
||||
result = await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
)
|
||||
|
||||
assert isinstance(result, pd.DataFrame)
|
||||
assert len(result) == 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_with_missing_timestamp(mock_curl_get_json, pi_client):
|
||||
"""Test get_latest_values_df filters out items with missing timestamp"""
|
||||
mock_curl_get_json.return_value = {
|
||||
'Items': [
|
||||
{
|
||||
'Name': 'tag1',
|
||||
'Items': [
|
||||
{'Timestamp': '2025-01-15T10:30:00Z', 'Value': 42.5},
|
||||
{'Value': 43.0}, # Missing Timestamp
|
||||
{'Timestamp': None, 'Value': 44.0}, # None Timestamp
|
||||
],
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
web_ids = {'tag1': {'webid': 'webid1'}}
|
||||
|
||||
result = await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
)
|
||||
|
||||
assert isinstance(result, pd.DataFrame)
|
||||
assert len(result) == 1 # Only the first item should be included
|
||||
assert result['value'].tolist() == [42.5]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_with_nested_value(mock_curl_get_json, pi_client):
|
||||
"""Test get_latest_values_df with nested value extraction"""
|
||||
mock_curl_get_json.return_value = {
|
||||
'Items': [
|
||||
{
|
||||
'Name': 'tag1',
|
||||
'Items': [
|
||||
{'Timestamp': '2025-01-15T10:30:00Z', 'Value': {'Value': 42.5}},
|
||||
],
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
web_ids = {'tag1': {'webid': 'webid1'}}
|
||||
|
||||
result = await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
)
|
||||
|
||||
assert isinstance(result, pd.DataFrame)
|
||||
assert len(result) == 1
|
||||
assert result['value'].tolist() == [42.5]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch.object(PIWebAPIClient, '_curl_get_json', new_callable=AsyncMock)
|
||||
async def test_get_latest_values_df_default_max_count(mock_curl_get_json, pi_client):
|
||||
"""Test get_latest_values_df uses default max_count of 1"""
|
||||
mock_curl_get_json.return_value = {'Items': []}
|
||||
|
||||
web_ids = {'tag1': {'webid': 'webid1'}}
|
||||
|
||||
await pi_client.get_latest_values_df(
|
||||
web_ids=web_ids,
|
||||
endpoint='/streamsets/recorded',
|
||||
)
|
||||
|
||||
call_args = mock_curl_get_json.call_args
|
||||
params = call_args[1]['params']
|
||||
|
||||
assert ('maxCount', '1') in params
|
||||
@@ -4,6 +4,7 @@ from unittest.mock import patch
|
||||
import pytest
|
||||
|
||||
from scouter.utils.connectors_config import (
|
||||
build_api_config,
|
||||
build_druid_config,
|
||||
build_kafka_config,
|
||||
build_mongodb_config,
|
||||
@@ -154,6 +155,38 @@ def test_build_mongodb_config_with_env_vars():
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.usefixtures('mock_env_vars')
|
||||
def test_build_api_config_defaults():
|
||||
"""Test that build_api_config returns default values when no env vars are set"""
|
||||
config = build_api_config()
|
||||
|
||||
assert config == {
|
||||
'base_url': 'https://pi.example.com',
|
||||
'auth_type': 'basic',
|
||||
'auth_token': None,
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.usefixtures('mock_env_vars')
|
||||
def test_build_api_config_with_env_vars():
|
||||
"""Test that build_api_config uses env vars when set"""
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{
|
||||
'PI_WEB_API_BASE_URL': 'https://api.production.com',
|
||||
'PI_WEB_API_AUTH_TYPE': 'bearer',
|
||||
'PI_WEB_API_AUTH_TOKEN': 'secret_token_123',
|
||||
},
|
||||
):
|
||||
config = build_api_config()
|
||||
|
||||
assert config == {
|
||||
'base_url': 'https://api.production.com',
|
||||
'auth_type': 'bearer',
|
||||
'auth_token': 'secret_token_123',
|
||||
}
|
||||
|
||||
|
||||
def test_build_druid_config_defaults():
|
||||
"""Test that build_druid_config returns default values when no env vars are set"""
|
||||
config = build_druid_config()
|
||||
|
||||
@@ -20,6 +20,11 @@ async def test_core_scouter_workflow_success(mock_workflow, core_scouter):
|
||||
'grouped_data',
|
||||
'held_data',
|
||||
]
|
||||
mock_workflow.execute_activity_method.side_effect = [
|
||||
{'affected_rows': 10}, # export_data_to_postgres
|
||||
None, # write_metrics
|
||||
None, # store_data_package
|
||||
]
|
||||
await core_scouter.run(
|
||||
input_data={
|
||||
'metadata': {
|
||||
@@ -113,6 +118,22 @@ async def test_core_scouter_workflow_success(mock_workflow, core_scouter):
|
||||
'column': 'timestamp',
|
||||
'format': DATETIME_FORMAT_WITH_TZ,
|
||||
},
|
||||
'on_conflict': 'ignore',
|
||||
'unique_columns': ['model_id', 'timestamp', 'variable'],
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY,
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
mock_workflow.execute_activity_method.assert_has_calls(
|
||||
[
|
||||
call(
|
||||
Activities.write_metrics,
|
||||
{
|
||||
**expected_metadata,
|
||||
'tag_values': 'held_data',
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY,
|
||||
@@ -222,3 +243,161 @@ async def test_core_scouter_workflow_with_empty_data(mock_workflow, core_scouter
|
||||
)
|
||||
|
||||
assert mock_workflow.execute_local_activity_method.call_count == 3
|
||||
mock_workflow.execute_activity_method.assert_not_called()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.workflow.sub_workflows.core_scouter.workflow', new_callable=AsyncMock)
|
||||
async def test_core_scouter_workflow_with_zero_affected_rows(mock_workflow, core_scouter):
|
||||
"""
|
||||
Test that workflow stops after export when no rows are affected
|
||||
"""
|
||||
mock_workflow.execute_local_activity_method.side_effect = [
|
||||
'filtered_data',
|
||||
'grouped_data',
|
||||
'held_data',
|
||||
]
|
||||
mock_workflow.execute_activity_method.return_value = {'affected_rows': 0}
|
||||
|
||||
await core_scouter.run(
|
||||
input_data={
|
||||
'metadata': {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'test_workflow',
|
||||
}
|
||||
},
|
||||
'workflow_name': 'test_workflow',
|
||||
'schedule_name': 'test_schedule',
|
||||
'model_name': 'test_model',
|
||||
'model_id': 'test_model_id',
|
||||
'data': 'test_data',
|
||||
'trigger_laborious': False,
|
||||
'filters': {'test_filter': 'test_value'},
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'retention_time': 3600,
|
||||
'model_tags': {},
|
||||
'debug_data_package': True,
|
||||
'fill_missing_tags': False,
|
||||
}
|
||||
)
|
||||
|
||||
expected_metadata = {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'test_workflow',
|
||||
}
|
||||
}
|
||||
|
||||
mock_workflow.execute_activity_method.assert_called_once_with(
|
||||
Activities.export_data_to_postgres,
|
||||
{
|
||||
**expected_metadata,
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'data': 'held_data',
|
||||
'timestamp_conversion': {
|
||||
'column': 'timestamp',
|
||||
'format': DATETIME_FORMAT_WITH_TZ,
|
||||
},
|
||||
'on_conflict': 'ignore',
|
||||
'unique_columns': ['model_id', 'timestamp', 'variable'],
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch('scouter.workflow.sub_workflows.core_scouter.workflow', new_callable=AsyncMock)
|
||||
async def test_core_scouter_workflow_without_debug_data_package(mock_workflow, core_scouter):
|
||||
"""
|
||||
Test that store_data_package is not called when debug_data_package is False
|
||||
"""
|
||||
mock_workflow.execute_local_activity_method.side_effect = [
|
||||
'filtered_data',
|
||||
'grouped_data',
|
||||
'held_data',
|
||||
]
|
||||
mock_workflow.execute_activity_method.side_effect = [
|
||||
{'affected_rows': 5},
|
||||
None,
|
||||
]
|
||||
|
||||
await core_scouter.run(
|
||||
input_data={
|
||||
'metadata': {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'test_workflow',
|
||||
}
|
||||
},
|
||||
'workflow_name': 'test_workflow',
|
||||
'schedule_name': 'test_schedule',
|
||||
'model_name': 'test_model',
|
||||
'model_id': 'test_model_id',
|
||||
'data': 'test_data',
|
||||
'trigger_laborious': False,
|
||||
'filters': {'test_filter': 'test_value'},
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'retention_time': 3600,
|
||||
'model_tags': {},
|
||||
'debug_data_package': False,
|
||||
'fill_missing_tags': False,
|
||||
}
|
||||
)
|
||||
|
||||
expected_metadata = {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'test_workflow',
|
||||
}
|
||||
}
|
||||
|
||||
mock_workflow.execute_activity_method.assert_has_calls(
|
||||
[
|
||||
call(
|
||||
Activities.export_data_to_postgres,
|
||||
{
|
||||
**expected_metadata,
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'data': 'held_data',
|
||||
'timestamp_conversion': {
|
||||
'column': 'timestamp',
|
||||
'format': DATETIME_FORMAT_WITH_TZ,
|
||||
},
|
||||
'on_conflict': 'ignore',
|
||||
'unique_columns': ['model_id', 'timestamp', 'variable'],
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY,
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
mock_workflow.execute_activity_method.assert_has_calls(
|
||||
[
|
||||
call(
|
||||
Activities.write_metrics,
|
||||
{
|
||||
**expected_metadata,
|
||||
'tag_values': 'held_data',
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY,
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
assert mock_workflow.execute_activity_method.call_count == 2
|
||||
|
||||
133
tests/workflow/test_pi_web_api_scouter.py
Normal file
133
tests/workflow/test_pi_web_api_scouter.py
Normal file
@@ -0,0 +1,133 @@
|
||||
from unittest.mock import ANY, AsyncMock, patch
|
||||
|
||||
from pytest import fixture, mark
|
||||
|
||||
from scouter.activities.activities import Activities
|
||||
from scouter.workflow.pi_web_api_scouter import PIWebAPIScouter
|
||||
|
||||
|
||||
@fixture
|
||||
def pi_web_api_scouter():
|
||||
return PIWebAPIScouter()
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch('scouter.workflow.pi_web_api_scouter.workflow', new_callable=AsyncMock)
|
||||
async def test_pi_web_api_scouter_workflow(mock_workflow, pi_web_api_scouter):
|
||||
mock_workflow.execute_local_activity_method.return_value = 'test_data'
|
||||
await pi_web_api_scouter.run(
|
||||
input_data={
|
||||
'model_name': 'test_model',
|
||||
'model_id': 'test_model_id',
|
||||
'schedule_name': 'test_schedule',
|
||||
'model_tags': {'tag1': 'webid1', 'tag2': 'webid2'},
|
||||
'trigger_laborious': True,
|
||||
'filters': {'quality': 'good'},
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'retention_time': 3600,
|
||||
'pi_web_api_query': {
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'period': '*-1d',
|
||||
'max_count': 10,
|
||||
'api_timeout': 30,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
expected_metadata = {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'scouter',
|
||||
}
|
||||
}
|
||||
|
||||
mock_workflow.execute_local_activity_method.assert_called_once_with(
|
||||
Activities.get_tag_values,
|
||||
{
|
||||
**expected_metadata,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'web_ids': {'tag1': 'webid1', 'tag2': 'webid2'},
|
||||
'period': '*-1d',
|
||||
'api_timeout': 30,
|
||||
'max_count': 10,
|
||||
},
|
||||
start_to_close_timeout=ANY,
|
||||
retry_policy=ANY,
|
||||
)
|
||||
|
||||
mock_workflow.execute_child_workflow.assert_called_once_with(
|
||||
'subworkflow.core_scouter',
|
||||
{
|
||||
'model_name': 'test_model',
|
||||
'model_id': 'test_model_id',
|
||||
'schedule_name': 'test_schedule',
|
||||
'model_tags': {'tag1': 'webid1', 'tag2': 'webid2'},
|
||||
'trigger_laborious': True,
|
||||
'filters': {'quality': 'good'},
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'retention_time': 3600,
|
||||
'workflow_name': 'scouter',
|
||||
'data': 'test_data',
|
||||
'metadata': expected_metadata,
|
||||
'pi_web_api_query': {
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'period': '*-1d',
|
||||
'max_count': 10,
|
||||
'api_timeout': 30,
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch('scouter.workflow.pi_web_api_scouter.workflow', new_callable=AsyncMock)
|
||||
async def test_pi_web_api_scouter_workflow_empty(mock_workflow, pi_web_api_scouter):
|
||||
mock_workflow.execute_local_activity_method.return_value = []
|
||||
await pi_web_api_scouter.run(
|
||||
input_data={
|
||||
'model_name': 'test_model',
|
||||
'model_id': 'test_model_id',
|
||||
'schedule_name': 'test_schedule',
|
||||
'model_tags': {'tag1': 'webid1', 'tag2': 'webid2'},
|
||||
'trigger_laborious': True,
|
||||
'filters': {'quality': 'good'},
|
||||
'schema': 'test_schema',
|
||||
'table_name': 'test_table',
|
||||
'retention_time': 3600,
|
||||
'pi_web_api_query': {
|
||||
'endpoint': '/streamsets/recorded',
|
||||
'period': '*-1d',
|
||||
'max_count': 1,
|
||||
'api_timeout': 30,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
expected_metadata = {
|
||||
'metadata': {
|
||||
'model_id': 'test_model_id',
|
||||
'model_name': 'test_model',
|
||||
'schedule_name': 'test_schedule',
|
||||
'workflow_name': 'scouter',
|
||||
}
|
||||
}
|
||||
|
||||
mock_workflow.execute_local_activity_method.assert_called_once_with(
|
||||
Activities.get_tag_values,
|
||||
{
|
||||
**expected_metadata,
|
||||
'web_ids': {'tag1': 'webid1', 'tag2': 'webid2'},
|
||||
'period': '*-1d',
|
||||
'api_timeout': 30,
|
||||
'max_count': 1,
|
||||
'endpoint': '/streamsets/recorded',
|
||||
},
|
||||
start_to_close_timeout=ANY,
|
||||
retry_policy=ANY,
|
||||
)
|
||||
|
||||
mock_workflow.execute_child_workflow.assert_not_called()
|
||||
18
values.yaml
18
values.yaml
@@ -163,7 +163,7 @@ env:
|
||||
- name: GITHUB_REPO_URL
|
||||
value: "git@github.com:Aignosi/sientia-dataops-scouter_temporal.git"
|
||||
- name: GITHUB_BRANCH
|
||||
value: "release/SIENTIAPDE-1441"
|
||||
value: "feature/SIENTIAPDE-1445"
|
||||
- name: PYTHON_APP
|
||||
value: "scouter.worker.worker"
|
||||
|
||||
@@ -219,6 +219,16 @@ env:
|
||||
- name: MONGODB_DATABASE
|
||||
value: "sientia"
|
||||
|
||||
- name: PI_WEB_API_BASE_URL
|
||||
value: "https://pivision.votorantimcimentos.com/piwebapi"
|
||||
- name: PI_WEB_API_AUTH_TYPE
|
||||
value: "basic"
|
||||
- name: PI_WEB_API_AUTH_TOKEN
|
||||
valueFrom:
|
||||
secretKeyRef:
|
||||
name: pi-web-api-auth-token
|
||||
key: token
|
||||
|
||||
- name: PYPI_SERVER
|
||||
value: "http://library-distribution-server.library.svc.cluster.local:5000"
|
||||
|
||||
@@ -260,4 +270,8 @@ ssh:
|
||||
# kubectl create secret generic git-ssh-key-sientia-scouter-worker \
|
||||
# --namespace sientia \
|
||||
# --from-file=ssh-privatekey=git_key \
|
||||
# --type=kubernetes.io/ssh-auth
|
||||
# --type=kubernetes.io/ssh-auth
|
||||
|
||||
# kubectl create secret generic pi-web-api-auth-token \
|
||||
# --namespace sientia \
|
||||
# --from-literal=token=your-token-here
|
||||
Reference in New Issue
Block a user