SIENTIAPDE-1030
Add comprehensive tests and utility functions for orchestrator activities - Introduced tests for the new Formatters class, covering methods for processing schedules and slots. - Enhanced SlotManager tests with update and delete slot functionalities. - Added TemporalManager tests for creating, updating, and deleting schedules, including frequency parsing. - Implemented utility functions for orchestrator operations, including frequency parsing and tag configuration building. - Created tests for utility functions to ensure correct behavior and integration with orchestrator activities. - Established a new converters module for parsing frequency strings into seconds.
This commit is contained in:
vitor-aignosi
4
.env
4
.env
@@ -1,4 +0,0 @@
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# === Simulator Git Repo ===
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# Use SSH format because the Dockerfile uses SSH to clone
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SIMULATOR_GIT_REPO=git@github.com:Aignosi/sientia-dataops-opc_simulator.git
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SIMULATOR_GIT_BRANCH=main
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@@ -15,6 +15,8 @@ services:
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networks:
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- sientia-network
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couchbase:
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image: couchbase/server:7.2.0
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container_name: couchbase
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@@ -62,6 +64,59 @@ services:
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networks:
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- sientia-network
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kafka:
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image: bitnami/kafka:3.7 # Using a specific Kafka version for stability
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container_name: kafka
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ports:
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- "9092:9092" # For clients connecting from the host machine or outside Docker network
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environment:
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# KRaft (Kafka Raft without Zookeeper) settings
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KAFKA_CFG_NODE_ID: '0'
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KAFKA_CFG_PROCESS_ROLES: 'broker,controller'
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KAFKA_CFG_CONTROLLER_LISTENER_NAMES: 'CONTROLLER'
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# Listeners: <PROTOCOL>://<HOST/IP>:<PORT>
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# PLAINTEXT_EXTERNAL for host access, INTERNAL for container-to-container communication
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KAFKA_CFG_LISTENERS: 'PLAINTEXT_EXTERNAL://0.0.0.0:9092,INTERNAL://0.0.0.0:19092,CONTROLLER://0.0.0.0:9093'
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# Advertised Listeners: How clients (including Kafka-UI) will connect
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KAFKA_CFG_ADVERTISED_LISTENERS: 'PLAINTEXT_EXTERNAL://localhost:9092,INTERNAL://kafka:19092'
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KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP: 'CONTROLLER:PLAINTEXT,PLAINTEXT_EXTERNAL:PLAINTEXT,INTERNAL:PLAINTEXT'
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KAFKA_CFG_INTER_BROKER_LISTENER_NAME: 'INTERNAL'
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KAFKA_CFG_CONTROLLER_QUORUM_VOTERS: '0@kafka:9093' # Node 0 is at kafka:9093 for controller comms
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# Single node cluster settings (important for KRaft single node)
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KAFKA_CFG_OFFSETS_TOPIC_REPLICATION_FACTOR: '1'
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KAFKA_CFG_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: '1'
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KAFKA_CFG_TRANSACTION_STATE_LOG_MIN_ISR: '1'
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KAFKA_CFG_DEFAULT_REPLICATION_FACTOR: '1' # For auto-created topics
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KAFKA_CFG_NUM_PARTITIONS: '1' # Default partitions for auto-created topics
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KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE: 'true' # Convenient for development
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volumes:
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- kafka_data:/bitnami/kafka # Bitnami Kafka data directory
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networks:
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- sientia-network
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healthcheck:
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# Checks if Kafka is ready by trying to list topics using the internal listener
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test: ["CMD-SHELL", "/opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka:19092 --list > /dev/null || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 5
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kafka-ui:
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image: provectuslabs/kafka-ui:latest
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container_name: kafka-ui
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ports:
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- "8082:8080" # Kafka UI will be accessible on host's port 8082
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environment:
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KAFKA_CLUSTERS_0_NAME: sientia-local-kafka
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KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: kafka:19092 # Connects to Kafka's internal listener
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# DYNAMIC_CONFIG_ENABLED: 'true' # Optional: To allow config changes through UI
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depends_on:
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kafka: # Ensures Kafka starts and is healthy before Kafka UI
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condition: service_healthy
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networks:
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- sientia-network
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networks:
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sientia-network:
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@@ -73,4 +128,6 @@ volumes:
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couchbase_data:
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driver: local
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redis_data:
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driver: local
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kafka_data:
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driver: local
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@@ -5,12 +5,13 @@ with workflow.unsafe.imports_passed_through():
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from orchestrator.activities.couchbase import Couchbase
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from orchestrator.activities.temporal_manager import TemporalManager
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from orchestrator.activities.slot_manager import SlotManager
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from orchestrator.activities.formatters import Formatters
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from typing import Any
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from logging import Logger
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from sientia_do.notifications.handlers import NotificationHandler
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class Activities(Couchbase, TemporalManager, SlotManager):
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class Activities(Couchbase, TemporalManager, SlotManager, Formatters):
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def __init__(self,
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temporal_client: Client,
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@@ -39,6 +40,10 @@ class Activities(Couchbase, TemporalManager, SlotManager):
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logger=logger,
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notification_handler=notification_handler)
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Formatters.__init__(self,
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logger=logger,
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notification_handler=notification_handler)
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@activity.defn(name="prepare_activity")
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async def prepare_activity(self, input_data: dict[str, Any]):
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await super().prepare_activity(input_data)
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@@ -1,10 +1,16 @@
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from sientia_do.notifications.models import NotificationLevel
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from temporalio import activity, workflow
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with workflow.unsafe.imports_passed_through():
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from sientia_do.temporal.activities.base import BaseActivity
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import json
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from typing import Any
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from logging import Logger
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from sientia_do.notifications.handlers import NotificationHandler
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from sientia_do.temporal.activities.base import BaseActivity
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from orchestrator.utils.orchestrator_functions import (
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scouter, predictions_batch, gather_read_tags, build_tag_config
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)
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from math import ceil
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class Formatters(BaseActivity):
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@@ -13,7 +19,22 @@ class Formatters(BaseActivity):
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notification_handler=notification_handler)
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@activity.defn(name="process_schedules")
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async def process_schedules(self, input_data: dict[str, Any]):
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async def process_schedules(self, input_data: dict[str, Any]) -> dict[str, Any]:
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"""
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Process schedules. Generates a schedule config dictionary
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based on the input data workflow type.
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Args:
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- input_data (dict[str, Any]): The input data containing
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the schedules to process.
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- pipelines (list[dict[str, Any]]): The schedules to process.
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Returns:
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- dict[str, Any]: The schedule config dictionary
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"""
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self.logger.info("Processing schedules...")
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pipelines = input_data['pipelines']
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schedule_config = {}
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@@ -21,115 +42,291 @@ class Formatters(BaseActivity):
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for pipeline in pipelines:
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if pipeline['workflow_type'] == 'scouter':
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schedule_config[pipeline['schedule_name']] = scouter(pipeline)
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elif pipeline['workflow_type'] == 'predictions_batch':
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schedule_config[pipeline['schedule_name']
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] = predictions_batch(pipeline)
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return schedule_config
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@activity.defn(name="process_slots")
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async def process_slots(self, input_data: dict[str, Any]) -> dict[str, Any]:
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"""
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Extracts all read tags from input pipelines, divides them into slots and
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returns a slot config dictionary. If no ingestor is available, only one slot
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is created.
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def common_config(config: dict[str, Any]):
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return {
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"workflow_type": "scouter",
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"schedule_name": config['schedule_name'],
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"frequency": config.get('frequency', '1m'),
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"max_retry_policy": config.get('max_retry_policy', 1),
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Args:
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- input_data (dict[str, Any]): The input data containing
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the schedules to process.
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- pipelines (list[dict[str, Any]]): The schedules to process.
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- opc_servers (list[str]): The OPC servers to create ingestor config.
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- active_ingestors (list[str]): The active ingestors to divide into slots.
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"model_id": config['model_id'],
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"model_name": config['model_name'],
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}
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Returns:
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- dict[str, Any]: The slot config dictionary
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"""
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self.logger.info("Processing slots...")
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def scouter(config: dict[str, Any]):
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filters = {}
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for f in config['filters']:
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filters[f['filter_name']] = {
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"policy": f['policy']
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pipelines = input_data['pipelines']
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opc_servers_list = input_data['opc_servers']
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active_ingestors = input_data['active_ingestors']
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opc_servers = {}
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for server in opc_servers_list:
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opc_servers[server['server_name']] = {
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**server,
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}
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tags = list(gather_read_tags(pipelines).values())
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number_of_tags = len(tags)
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number_of_slots = len(active_ingestors) if active_ingestors else 1
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tags_per_slot = ceil(number_of_tags / number_of_slots)
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slot_config = {}
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last_index = 0
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for i in range(1, number_of_slots):
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slot_config[f"{i}"] = {}
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for tag in tags[last_index:last_index + tags_per_slot]:
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slot_config = build_tag_config(
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tag, slot_config.copy(), opc_servers, i)
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last_index += tags_per_slot
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slot_config[f"{number_of_slots}"] = {}
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for tag in tags[last_index:]:
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slot_config = build_tag_config(
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tag, slot_config.copy(), opc_servers, number_of_slots)
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return slot_config
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@activity.defn(name="create_schedule_config")
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async def create_schedule_config(self,
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input_data: dict[str, Any]) -> dict[str, Any]:
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"""
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Creates a schedule config dictionary based on the input data.
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Checks the existing schedule config and updates it with the new schedule config,
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deleting unnecessary schedules, creating new schedules and updating existing schedules.
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Args:
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- input_data (dict[str, Any]): The input data containing
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the schedules to process.
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- current_schedule_config (dict[str, Any]): The current schedule
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config in Temporal server.
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- schedule_config (dict[str, Any]): The schedule config to process.
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Returns:
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- dict[str, Any]: The schedule config dictionary
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"""
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self.logger.info("Creating schedule config...")
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current_schedule_config = input_data['current_schedule_config']
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schedule_config = input_data['schedule_config']
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to_update = {}
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to_create = {}
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to_delete = []
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for schedule_name, schedule in schedule_config.items():
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if schedule_name in current_schedule_config:
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if schedule != current_schedule_config[schedule_name]['data']:
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to_update[schedule_name] = schedule
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elif schedule_name not in current_schedule_config:
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to_create[schedule_name] = schedule
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for schedule_name in current_schedule_config:
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if schedule_name not in schedule_config:
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to_delete.append(schedule_name)
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return {
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"to_update": to_update,
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"to_create": to_create,
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"to_delete": to_delete
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}
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tags = {}
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for tag in config['read_tags']:
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tags[tag['tag_name']] = {
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"aggr_func": tag.get('aggr_func', 'lts'),
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"data_range": tag.get('data_range', [-100, 100])
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@activity.defn(name="create_slot_config")
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async def create_slot_config(self,
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input_data: dict[str, Any]) -> dict[str, Any]:
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"""
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Creates a slot config dictionary based on the input data.
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Checks the existing slot config and updates it with the new slot config,
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deleting unnecessary slots.
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Args:
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- input_data (dict[str, Any]): The input data containing
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the slots to process.
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- current_slot_config (dict[str, Any]): The current slot
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config in Temporal server.
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- slot_config (dict[str, Any]): The slot config to process.
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Returns:
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- dict[str, Any]: The slot config dictionary
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"""
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self.logger.info("Creating slot config...")
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current_slot_config = input_data['current_slot_config']
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slot_config = input_data['slot_config']
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to_delete = []
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number_of_current_slots = len(current_slot_config)
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number_of_slots = len(slot_config)
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if number_of_current_slots > number_of_slots:
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to_delete = [str(i) for i in range(
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number_of_slots + 1, number_of_current_slots + 1)]
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return {
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"to_delete": to_delete,
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"to_insert": slot_config
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}
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return {
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**common_config(config),
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def send_success_report(self, message: str, notification_id: str) -> None:
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self.notification_handler.build_and_send_notification(
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notification_id,
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message,
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"report_orchestration",
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NotificationLevel.INFO
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)
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"topic": f"raw_{config['schedule_name']}",
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"trigger_laborious": False,
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"filters": filters,
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"schema": "sientia_data",
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"table_name": "laborious_data",
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"retention_time": config.get('tag_retention_minutes', 60) * 60,
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"model_tags": tags
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}
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def send_error_report(self, message: str, notification_id: str,
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attachment: dict[str, Any]) -> None:
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self.notification_handler.build_and_send_notification(
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notification_id,
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message,
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"report_orchestration",
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NotificationLevel.ERROR,
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attachment_content=json.dumps(attachment, indent=4, sort_keys=True)
|
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)
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def parse_report(self, input_data: dict[str, Any]) -> tuple[list[str], list[str]]:
|
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success_keys = [key for key, value
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in input_data.items() if value['success']]
|
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|
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def overlap_filter_config(base_filter_config: dict[str, Any], config: dict[str, Any]):
|
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for fil in config['filters']:
|
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base_filter_config[fil['filter_name']] = {
|
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"policy": fil['policy'],
|
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"config": fil.get('config', {})
|
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}
|
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error_keys = [key for key, value
|
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in input_data.items() if not value['success']]
|
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|
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return base_filter_config
|
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return success_keys, error_keys
|
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|
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@activity.defn(name="report_schedule_orchestration")
|
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async def report_schedule_orchestration(self,
|
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input_data: dict[str, Any]) -> None:
|
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"""
|
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Reports the orchestration result to the notification handler.
|
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|
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def process_path_priority(path_priority: list[str]):
|
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for priority in path_priority[:]:
|
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if priority not in ["STOP", "CONTINUE", "REPEAT"]:
|
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path_priority.remove(priority)
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the orchestration result.
|
||||
- created_schedules (dict[str, Any]): The created schedules.
|
||||
- updated_schedules (dict[str, Any]): The updated schedules.
|
||||
- deleted_schedules (list[str]): The deleted schedules.
|
||||
"""
|
||||
|
||||
if len(path_priority) != 3:
|
||||
for priority in ["STOP", "CONTINUE", "REPEAT"]:
|
||||
if priority not in path_priority:
|
||||
path_priority.append(priority)
|
||||
self.logger.info("Reporting orchestration...")
|
||||
|
||||
return path_priority
|
||||
created_schedules = input_data['created_schedules']
|
||||
updated_schedules = input_data['updated_schedules']
|
||||
deleted_schedules = input_data['deleted_schedules']
|
||||
|
||||
# Send report for created schedules
|
||||
if len(created_schedules) > 0:
|
||||
success_keys, error_keys = self.parse_report(created_schedules)
|
||||
|
||||
def predictions_batch(config: dict[str, Any]):
|
||||
tags = {}
|
||||
for tag in config['write_tags']:
|
||||
if tag['server_name'] not in tags:
|
||||
tags[tag['server_name']] = {}
|
||||
if len(success_keys) > 0:
|
||||
self.send_success_report(
|
||||
f"Created schedules: \n {', '.join(success_keys)}",
|
||||
"REPORT_ORCHESTRATION_CREATED_SCHEDULES"
|
||||
)
|
||||
|
||||
tag_type = tag['type']
|
||||
if len(error_keys) > 0:
|
||||
self.send_error_report(
|
||||
f"Failed to create schedules: \n {', '.join(error_keys)}",
|
||||
"REPORT_ORCHESTRATION_CREATED_SCHEDULES",
|
||||
created_schedules
|
||||
)
|
||||
|
||||
if tag_type == 'prediction' or tag_type == 'confidence':
|
||||
tag_type_str = f"{tag_type}_tags"
|
||||
# Send report for updated schedules
|
||||
if len(updated_schedules) > 0:
|
||||
success_keys, error_keys = self.parse_report(updated_schedules)
|
||||
|
||||
if tag_type_str not in tags[tag['server_name']]:
|
||||
tags[tag['server_name']][tag_type_str] = {}
|
||||
if len(success_keys) > 0:
|
||||
self.send_success_report(
|
||||
f"Updated schedules: \n {', '.join(success_keys)}",
|
||||
"REPORT_ORCHESTRATION_UPDATED_SCHEDULES"
|
||||
)
|
||||
|
||||
tags[tag['server_name']][tag_type_str][tag['addr']] = {
|
||||
"data_type": tag.get('data_type', 'float'),
|
||||
}
|
||||
if len(error_keys) > 0:
|
||||
self.send_error_report(
|
||||
f"Failed to update schedules: \n {', '.join(error_keys)}",
|
||||
"REPORT_ORCHESTRATION_UPDATED_SCHEDULES",
|
||||
updated_schedules
|
||||
)
|
||||
|
||||
path_priority = process_path_priority(config.get(
|
||||
'path_priority', ["STOP", "CONTINUE", "REPEAT"]))
|
||||
if len(deleted_schedules) > 0:
|
||||
success_keys, error_keys = self.parse_report(deleted_schedules)
|
||||
|
||||
return {
|
||||
**common_config(config),
|
||||
if len(success_keys) > 0:
|
||||
self.send_success_report(
|
||||
f"Deleted schedules: \n {', '.join(success_keys)}",
|
||||
"REPORT_ORCHESTRATION_DELETED_SCHEDULES"
|
||||
)
|
||||
|
||||
"query": config['query'],
|
||||
"schema": "sientia_data",
|
||||
"table_name": "predictions",
|
||||
"retention_time": config.get('model_retention_minutes', 60) * 60,
|
||||
"opc_output_config": tags,
|
||||
"input_filters": overlap_filter_config({
|
||||
"EMPTY_DATA": {
|
||||
"policy": "STOP"
|
||||
}
|
||||
}, config['input_filters']),
|
||||
"mlflow_transform_filters": overlap_filter_config({
|
||||
"API_ERROR": {
|
||||
"policy": "STOP"
|
||||
}
|
||||
}, config['mlflow_transform_filters']),
|
||||
"mlflow_predict_filters": overlap_filter_config({
|
||||
"API_ERROR": {
|
||||
"policy": "STOP"
|
||||
}
|
||||
}, config['mlflow_predict_filters']),
|
||||
"path_priority": path_priority
|
||||
}
|
||||
if len(error_keys) > 0:
|
||||
self.send_error_report(
|
||||
f"Failed to delete schedules: \n {', '.join(error_keys)}",
|
||||
"REPORT_ORCHESTRATION_DELETED_SCHEDULES",
|
||||
deleted_schedules
|
||||
)
|
||||
|
||||
@activity.defn(name="report_slot_orchestration")
|
||||
async def report_slot_orchestration(self,
|
||||
input_data: dict[str, Any]) -> None:
|
||||
"""
|
||||
Reports the orchestration result to the notification handler.
|
||||
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the orchestration result.
|
||||
- inserted_slots (dict[str, Any]): The inserted slots.
|
||||
- deleted_slots (list[str]): The deleted slots.
|
||||
"""
|
||||
|
||||
self.logger.info("Reporting orchestration...")
|
||||
|
||||
inserted_slots = input_data['inserted_slots']
|
||||
deleted_slots = input_data['deleted_slots']
|
||||
|
||||
if len(inserted_slots) > 0:
|
||||
success_keys, error_keys = self.parse_report(inserted_slots)
|
||||
|
||||
if len(success_keys) > 0:
|
||||
self.send_success_report(
|
||||
f"Inserted slots: \n {', '.join(success_keys)}",
|
||||
"REPORT_ORCHESTRATION_INSERTED_SLOTS"
|
||||
)
|
||||
|
||||
if len(error_keys) > 0:
|
||||
self.send_error_report(
|
||||
f"Failed to insert slots: \n {', '.join(error_keys)}",
|
||||
"REPORT_ORCHESTRATION_INSERTED_SLOTS",
|
||||
inserted_slots
|
||||
)
|
||||
|
||||
if len(deleted_slots) > 0:
|
||||
success_keys, error_keys = self.parse_report(deleted_slots)
|
||||
|
||||
if len(success_keys) > 0:
|
||||
self.send_success_report(
|
||||
f"Deleted slots: \n {', '.join(success_keys)}",
|
||||
"REPORT_ORCHESTRATION_DELETED_SLOTS"
|
||||
)
|
||||
|
||||
if len(error_keys) > 0:
|
||||
self.send_error_report(
|
||||
f"Failed to delete slots: \n {', '.join(error_keys)}",
|
||||
"REPORT_ORCHESTRATION_DELETED_SLOTS",
|
||||
deleted_slots
|
||||
)
|
||||
|
||||
@@ -32,23 +32,20 @@ class SlotManager(Redis):
|
||||
|
||||
slot_keys = self.redis_client.keys("slot:opc_tags:*")
|
||||
|
||||
if slot_keys:
|
||||
decoded_keys = [key.decode('utf-8') for key in slot_keys]
|
||||
values = self.redis_client.mget(decoded_keys)
|
||||
self.logger.debug("Slot keys: %s", slot_keys)
|
||||
|
||||
for i, key in enumerate(decoded_keys):
|
||||
value = values[i]
|
||||
if value is not None:
|
||||
try:
|
||||
opc_slots[key] = value.decode('utf-8')
|
||||
except (UnicodeDecodeError, AttributeError):
|
||||
opc_slots[key] = value
|
||||
else:
|
||||
opc_slots[key] = None
|
||||
if slot_keys:
|
||||
if isinstance(slot_keys[0], bytes):
|
||||
decoded_keys = [key.decode('utf-8') for key in slot_keys]
|
||||
else:
|
||||
decoded_keys = slot_keys
|
||||
|
||||
for key in decoded_keys:
|
||||
opc_slots[key] = self.get(key)
|
||||
|
||||
self.logger.info(f"Loaded {len(opc_slots)} OPC slots")
|
||||
|
||||
self.logger.debug("OPC slots: \n %s",
|
||||
self.logger.debug("Loaded: \n %s",
|
||||
json.dumps(opc_slots, indent=4, sort_keys=True))
|
||||
|
||||
return opc_slots
|
||||
@@ -71,3 +68,86 @@ class SlotManager(Redis):
|
||||
self.logger.debug("Active ingestors: \n %s", active_ingestors)
|
||||
|
||||
return [ingestor.decode('utf-8') for ingestor in active_ingestors]
|
||||
|
||||
@activity.defn(name="update_slots")
|
||||
async def update_slots(self, input_data: dict[str, Any]) -> dict[str, Any]:
|
||||
"""
|
||||
Update OPC slots in Redis
|
||||
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the slots to update.
|
||||
- to_insert (dict[str, Any]): The slots to insert.
|
||||
|
||||
Returns:
|
||||
- report (dict[str, Any]): A report of the updated slots.
|
||||
"""
|
||||
|
||||
to_insert = input_data['to_insert']
|
||||
self.logger.info("Updating OPC slots...")
|
||||
|
||||
report = {}
|
||||
|
||||
for slot in to_insert:
|
||||
try:
|
||||
self.set(f"slot:opc_tags:{slot}",
|
||||
to_insert[slot], ttl=None)
|
||||
report[slot] = {
|
||||
"success": True,
|
||||
"message": "Slot updated successfully"
|
||||
}
|
||||
except Exception as e:
|
||||
self.logger.error("Failed to update slot %s: %s",
|
||||
slot, str(e))
|
||||
report[slot] = {
|
||||
"success": False,
|
||||
"message": str(e)
|
||||
}
|
||||
|
||||
self.logger.info(f"Updated {len(to_insert)} OPC slots")
|
||||
|
||||
self.logger.debug("Report: \n %s",
|
||||
json.dumps(report, indent=4, sort_keys=True))
|
||||
|
||||
return report
|
||||
|
||||
@activity.defn(name="delete_slots")
|
||||
async def delete_slots(self, input_data: dict[str, Any]) -> dict[str, Any]:
|
||||
"""
|
||||
Delete OPC slots from Redis
|
||||
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the slots to delete.
|
||||
- to_delete (list[str]): The slots to delete.
|
||||
|
||||
Returns:
|
||||
- report (dict[str, Any]): A report of the deleted slots.
|
||||
"""
|
||||
|
||||
to_delete = input_data['to_delete']
|
||||
self.logger.info("Deleting OPC slots...")
|
||||
|
||||
report = {}
|
||||
|
||||
for slot in to_delete:
|
||||
try:
|
||||
self.redis_client.delete(f"slot:opc_tags:{slot}")
|
||||
report[slot] = {
|
||||
"success": True,
|
||||
"message": "Slot deleted successfully"
|
||||
}
|
||||
except Exception as e:
|
||||
self.logger.error("Failed to delete slot %s: %s",
|
||||
slot, str(e))
|
||||
report[slot] = {
|
||||
"success": False,
|
||||
"message": str(e)
|
||||
}
|
||||
|
||||
self.logger.info(f"Deleted {len(to_delete)} OPC slots")
|
||||
|
||||
self.logger.debug("Report: \n %s",
|
||||
json.dumps(report, indent=4, sort_keys=True))
|
||||
|
||||
return report
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
from temporalio import activity, workflow
|
||||
from temporalio.client import Client
|
||||
from temporalio.client import (
|
||||
Client, Schedule, ScheduleActionStartWorkflow, ScheduleIntervalSpec, ScheduleSpec, ScheduleUpdate, ScheduleUpdateInput)
|
||||
from temporalio.common import SearchAttributeKey, SearchAttributePair, TypedSearchAttributes
|
||||
|
||||
with workflow.unsafe.imports_passed_through():
|
||||
from typing import Any
|
||||
@@ -8,7 +10,9 @@ with workflow.unsafe.imports_passed_through():
|
||||
from sientia_do.temporal.activities.base import BaseActivity
|
||||
from google.protobuf.json_format import MessageToDict
|
||||
import base64
|
||||
from datetime import timedelta
|
||||
import json
|
||||
from orchestrator.utils.converters import parse_frequency
|
||||
|
||||
|
||||
class TemporalManager(BaseActivity):
|
||||
@@ -17,6 +21,13 @@ class TemporalManager(BaseActivity):
|
||||
|
||||
self.temporal_client = temporal_client
|
||||
|
||||
self.schedule_handles = {}
|
||||
|
||||
self.model_id_id_key = SearchAttributeKey.for_keyword("model_id")
|
||||
self.model_name_id_key = SearchAttributeKey.for_keyword("model_name")
|
||||
self.orchestrated_id_key = SearchAttributeKey.for_keyword(
|
||||
"orchestrated")
|
||||
|
||||
BaseActivity.__init__(self,
|
||||
logger=logger,
|
||||
notification_handler=notification_handler)
|
||||
@@ -41,7 +52,9 @@ class TemporalManager(BaseActivity):
|
||||
if search_attrs.get("Orchestrated", ["false"]) == ["true"]:
|
||||
schedule_id = schedule.id
|
||||
|
||||
handle = self.temporal_client.get_schedule(schedule_id)
|
||||
handle = self.temporal_client.get_schedule_handle(schedule_id)
|
||||
|
||||
self.schedule_handles[schedule_id] = handle
|
||||
|
||||
desc = await handle.describe()
|
||||
|
||||
@@ -54,7 +67,6 @@ class TemporalManager(BaseActivity):
|
||||
orchestrated_schedules[schedule_id] = {
|
||||
'frequency': frequency,
|
||||
'data': json.loads(data),
|
||||
'handle': handle
|
||||
}
|
||||
|
||||
self.logger.info("Found %d orchestrated schedules",
|
||||
@@ -64,3 +76,190 @@ class TemporalManager(BaseActivity):
|
||||
orchestrated_schedules)
|
||||
|
||||
return orchestrated_schedules
|
||||
|
||||
@activity.defn(name="create_schedules")
|
||||
async def create_schedules(self, input_data: dict[str, Any]) -> dict[str, Any]:
|
||||
"""
|
||||
Create schedules in Temporal
|
||||
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the schedules to create.
|
||||
- schedules (dict[str, Any]): The schedules to create.
|
||||
|
||||
Returns:
|
||||
- dict[str, Any]: A report of the created schedules.
|
||||
"""
|
||||
|
||||
schedules = input_data['schedules']
|
||||
|
||||
report = {}
|
||||
|
||||
for schedule_name, schedule in schedules.items():
|
||||
search_attributes = TypedSearchAttributes([
|
||||
SearchAttributePair(
|
||||
key=self.model_id_id_key,
|
||||
value=schedule['model_id']
|
||||
),
|
||||
SearchAttributePair(
|
||||
key=self.model_name_id_key,
|
||||
value=schedule['model_name']
|
||||
),
|
||||
SearchAttributePair(
|
||||
key=self.orchestrated_id_key,
|
||||
value="true"
|
||||
)
|
||||
])
|
||||
workflow_type = schedule['workflow_type']
|
||||
|
||||
try:
|
||||
await self.temporal_client.create_schedule(
|
||||
schedule_name,
|
||||
Schedule(
|
||||
action=ScheduleActionStartWorkflow(
|
||||
workflow=workflow_type,
|
||||
args=schedule,
|
||||
id=schedule_name,
|
||||
task_queue=f"{workflow_type}-queue"
|
||||
),
|
||||
spec=ScheduleSpec(
|
||||
intervals=[
|
||||
ScheduleIntervalSpec(
|
||||
every=timedelta(seconds=parse_frequency(
|
||||
schedule.get('frequency', '1m')))
|
||||
)
|
||||
]
|
||||
)
|
||||
),
|
||||
search_attributes=search_attributes
|
||||
)
|
||||
|
||||
report[schedule_name] = {
|
||||
"success": True,
|
||||
"message": "Schedule created successfully"
|
||||
}
|
||||
except Exception as e:
|
||||
self.logger.error("Failed to create schedule %s: %s",
|
||||
schedule_name, str(e))
|
||||
report[schedule_name] = {
|
||||
"success": False,
|
||||
"message": str(e)
|
||||
}
|
||||
|
||||
self.logger.info(f"Processed {len(schedules)} schedules")
|
||||
|
||||
self.logger.debug("\n %s",
|
||||
json.dumps(report, indent=4, sort_keys=True))
|
||||
|
||||
return report
|
||||
|
||||
@activity.defn(name="update_schedules")
|
||||
async def update_schedules(self, input_data: dict[str, Any]) -> dict[str, Any]:
|
||||
"""
|
||||
Update schedules in Temporal
|
||||
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the schedules to update.
|
||||
- schedules (dict[str, Any]): The schedules to update.
|
||||
|
||||
Returns:
|
||||
- dict[str, Any]: A report of the updated schedules.
|
||||
"""
|
||||
|
||||
schedules = input_data['schedules']
|
||||
|
||||
report = {}
|
||||
|
||||
for schedule_name, schedule in schedules.items():
|
||||
try:
|
||||
handler = self.schedule_handles.get(schedule_name)
|
||||
|
||||
if not handler:
|
||||
raise ValueError(f"Schedule {schedule_name} not found")
|
||||
|
||||
async def update_schedule(input_data: ScheduleUpdateInput) -> ScheduleUpdate:
|
||||
schedule_action = input_data.description.schedule.action
|
||||
|
||||
if hasattr(schedule_action, "args"):
|
||||
schedule_action.args = schedule
|
||||
|
||||
input_data.description.schedule.spec.intervals = [
|
||||
ScheduleIntervalSpec(
|
||||
every=timedelta(seconds=parse_frequency(
|
||||
schedule.get('frequency', '1m')))
|
||||
)
|
||||
]
|
||||
|
||||
return ScheduleUpdate(schedule=input_data.description.schedule)
|
||||
|
||||
await handler.update(update_schedule)
|
||||
|
||||
del update_schedule
|
||||
|
||||
report[schedule_name] = {
|
||||
"success": True,
|
||||
"message": "Schedule updated successfully"
|
||||
}
|
||||
except Exception as e:
|
||||
self.logger.error("Failed to update schedule %s: %s",
|
||||
schedule_name, str(e))
|
||||
report[schedule_name] = {
|
||||
"success": False,
|
||||
"message": str(e)
|
||||
}
|
||||
|
||||
self.logger.info(f"Processed {len(schedules)} schedules")
|
||||
|
||||
self.logger.debug("\n %s",
|
||||
json.dumps(report, indent=4, sort_keys=True))
|
||||
|
||||
return report
|
||||
|
||||
@activity.defn(name="delete_schedules")
|
||||
async def delete_schedules(self, input_data: dict[str, Any]) -> dict[str, Any]:
|
||||
"""
|
||||
Delete schedules in Temporal
|
||||
|
||||
Args:
|
||||
- input_data (dict[str, Any]): The input data containing
|
||||
the schedules to delete.
|
||||
- schedules (list[str]): The schedules to delete.
|
||||
|
||||
Returns:
|
||||
- dict[str, Any]: A report of the deleted schedules.
|
||||
"""
|
||||
|
||||
schedules = input_data['schedules']
|
||||
|
||||
report = {}
|
||||
|
||||
for schedule_name in schedules:
|
||||
try:
|
||||
handler = self.schedule_handles.get(schedule_name)
|
||||
|
||||
if not handler:
|
||||
raise ValueError(f"Schedule {schedule_name} not found")
|
||||
|
||||
await handler.delete()
|
||||
|
||||
del self.schedule_handles[schedule_name]
|
||||
|
||||
report[schedule_name] = {
|
||||
"success": True,
|
||||
"message": "Schedule deleted successfully"
|
||||
}
|
||||
except Exception as e:
|
||||
self.logger.error("Failed to delete schedule %s: %s",
|
||||
schedule_name, str(e))
|
||||
report[schedule_name] = {
|
||||
"success": False,
|
||||
"message": str(e)
|
||||
}
|
||||
|
||||
self.logger.info(f"Processed {len(schedules)} schedules")
|
||||
|
||||
self.logger.debug("\n %s",
|
||||
json.dumps(report, indent=4, sort_keys=True))
|
||||
|
||||
return report
|
||||
|
||||
@@ -1,42 +1,18 @@
|
||||
from os import getenv
|
||||
import json
|
||||
|
||||
|
||||
def build_postgres_config():
|
||||
def build_redis_config():
|
||||
return {
|
||||
'host': getenv('POSTGRES_HOST', 'localhost'),
|
||||
'port': int(getenv('POSTGRES_PORT', '5432')),
|
||||
'user': getenv('POSTGRES_USER', 'sientia'),
|
||||
'password': getenv('POSTGRES_PASSWORD', 'sientia'),
|
||||
'dbname': getenv('POSTGRES_DBNAME', 'sientia'),
|
||||
'min_connections': int(getenv('POSTGRES_MIN_CONNECTIONS', '5')),
|
||||
'max_connections': int(getenv('POSTGRES_MAX_CONNECTIONS', '20'))
|
||||
'host': getenv('REDIS_HOST', 'localhost'),
|
||||
'port': int(getenv('REDIS_PORT', '6379')),
|
||||
'username': getenv('REDIS_USERNAME', None),
|
||||
'password': getenv('REDIS_PASSWORD', None)
|
||||
}
|
||||
|
||||
|
||||
def build_mlflow_config():
|
||||
def build_couchbase_config():
|
||||
return {
|
||||
'host': getenv('MLFLOW_HOST', 'http://localhost'),
|
||||
'port': int(getenv('MLFLOW_PORT', '5080')),
|
||||
'username': getenv('MLFLOW_USERNAME', 'aignosi'),
|
||||
'password': getenv('MLFLOW_PASSWORD', 'aignosi')
|
||||
}
|
||||
|
||||
|
||||
def build_opc_config():
|
||||
opc_raw = getenv('OPC_CONFIG', None)
|
||||
|
||||
if opc_raw:
|
||||
return json.loads(opc_raw)
|
||||
|
||||
return {
|
||||
'opc': {
|
||||
'name': getenv('OPC_NAME', 'opc'),
|
||||
'url': getenv('OPC_URL', 'opc.tcp://localhost:4840'),
|
||||
'server_uri': getenv('OPC_SERVER_URI', 'opc.tcp://localhost:4840'),
|
||||
'cert_path': getenv('OPC_CERT_PATH', None),
|
||||
'private_key_path': getenv('OPC_PRIVATE_KEY_PATH', None),
|
||||
'server_cert_path': getenv('OPC_SERVER_CERT_PATH', None),
|
||||
'reconnection_interval': int(getenv('OPC_RECONNECTION_INTERVAL', '120'))
|
||||
}
|
||||
'connection_string': getenv('COUCHBASE_CONNECTION_STRING', 'couchbase://localhost'),
|
||||
'username': getenv('COUCHBASE_USERNAME', 'sientia'),
|
||||
'password': getenv('COUCHBASE_PASSWORD', 'sientia')
|
||||
}
|
||||
|
||||
14
orchestrator/utils/converters.py
Normal file
14
orchestrator/utils/converters.py
Normal file
@@ -0,0 +1,14 @@
|
||||
def parse_frequency(frequency: str) -> int:
|
||||
"""
|
||||
Parse frequency string to seconds
|
||||
"""
|
||||
if frequency.endswith("s"):
|
||||
return int(frequency[:-1])
|
||||
elif frequency.endswith("m"):
|
||||
return int(frequency[:-1]) * 60
|
||||
elif frequency.endswith("h"):
|
||||
return int(frequency[:-1]) * 60 * 60
|
||||
elif frequency.endswith("d"):
|
||||
return int(frequency[:-1]) * 60 * 60 * 24
|
||||
else:
|
||||
raise ValueError("Invalid frequency")
|
||||
162
orchestrator/utils/orchestrator_functions.py
Normal file
162
orchestrator/utils/orchestrator_functions.py
Normal file
@@ -0,0 +1,162 @@
|
||||
from typing import Any
|
||||
|
||||
|
||||
def common_config(config: dict[str, Any]):
|
||||
return {
|
||||
"workflow_type": config['workflow_type'],
|
||||
"schedule_name": config['schedule_name'],
|
||||
"frequency": config.get('frequency', '1m'),
|
||||
"max_retry_policy": config.get('max_retry_policy', 1),
|
||||
|
||||
"model_id": config['model_id'],
|
||||
"model_name": config['model_name'],
|
||||
}
|
||||
|
||||
|
||||
def scouter(config: dict[str, Any]):
|
||||
filters = {}
|
||||
for f in config.get('filters', []):
|
||||
filters[f['filter_name']] = {
|
||||
"policy": f['policy']
|
||||
}
|
||||
|
||||
tags = {}
|
||||
for tag in config['read_tags']:
|
||||
tags[tag['tag_name']] = {
|
||||
"aggr_func": tag.get('aggr_func', 'lts'),
|
||||
"data_range": tag.get('data_range', [-100, 100])
|
||||
}
|
||||
|
||||
return {
|
||||
**common_config(config),
|
||||
|
||||
"topic": f"raw_{config['schedule_name']}",
|
||||
"trigger_laborious": False,
|
||||
"filters": filters,
|
||||
"schema": "sientia_data",
|
||||
"table_name": "laborious_data",
|
||||
"retention_time": config.get('tag_retention_minutes', 60) * 60,
|
||||
"model_tags": tags
|
||||
}
|
||||
|
||||
|
||||
def overlap_filter_config(base_filter_config: dict[str, Any], config: list[dict[str, Any]]):
|
||||
for fil in config:
|
||||
base_filter_config[fil['filter_name']] = {
|
||||
"policy": fil['policy'],
|
||||
"config": fil.get('config', {})
|
||||
}
|
||||
|
||||
return base_filter_config
|
||||
|
||||
|
||||
def process_path_priority(path_priority: list[str]):
|
||||
for priority in path_priority[:]:
|
||||
if priority not in ["STOP", "CONTINUE", "REPEAT"]:
|
||||
path_priority.remove(priority)
|
||||
|
||||
for priority in ["STOP", "CONTINUE", "REPEAT"]:
|
||||
if priority not in path_priority:
|
||||
path_priority.append(priority)
|
||||
|
||||
return path_priority[0:3]
|
||||
|
||||
|
||||
def predictions_batch(config: dict[str, Any]):
|
||||
tags = {}
|
||||
for tag in config['write_tags']:
|
||||
if tag['server_name'] not in tags:
|
||||
tags[tag['server_name']] = {}
|
||||
|
||||
tag_type = tag['type']
|
||||
|
||||
if tag_type == 'prediction' or tag_type == 'confidence':
|
||||
tag_type_str = f"{tag_type}_tags"
|
||||
|
||||
if tag_type_str not in tags[tag['server_name']]:
|
||||
tags[tag['server_name']][tag_type_str] = {}
|
||||
|
||||
tags[tag['server_name']][tag_type_str][tag['addr']] = {
|
||||
"data_type": tag.get('data_type', 'float'),
|
||||
}
|
||||
|
||||
path_priority = process_path_priority(config.get(
|
||||
'path_priority', ["STOP", "CONTINUE", "REPEAT"]))
|
||||
|
||||
return {
|
||||
**common_config(config),
|
||||
|
||||
"query": config['query'],
|
||||
"schema": "sientia_data",
|
||||
"table_name": "predictions",
|
||||
"retention_time": config.get('model_retention_minutes', 60) * 60,
|
||||
"opc_output_config": tags,
|
||||
"input_filters": overlap_filter_config({
|
||||
"EMPTY_DATA": {
|
||||
"policy": "STOP",
|
||||
"config": {}
|
||||
}
|
||||
}, config['input_filters']),
|
||||
"mlflow_transform_filters": overlap_filter_config({
|
||||
"API_ERROR": {
|
||||
"policy": "STOP",
|
||||
"config": {}
|
||||
}
|
||||
}, config['mlflow_transform_filters']),
|
||||
"mlflow_predict_filters": overlap_filter_config({
|
||||
"API_ERROR": {
|
||||
"policy": "STOP",
|
||||
"config": {}
|
||||
}
|
||||
}, config['mlflow_predict_filters']),
|
||||
"path_priority": path_priority
|
||||
}
|
||||
|
||||
|
||||
def gather_read_tags(pipelines: list[dict[str, Any]]) -> dict[str, Any]:
|
||||
"""
|
||||
Gathers all read tags from input pipelines.
|
||||
|
||||
Args:
|
||||
- pipelines (list[dict[str, Any]]): The schedules to process.
|
||||
|
||||
Returns:
|
||||
- dict[str, Any]: The read tags dictionary
|
||||
"""
|
||||
|
||||
tags = {}
|
||||
|
||||
# Get all read tags from pipelines
|
||||
for pipeline in pipelines:
|
||||
for tag in pipeline['read_tags']:
|
||||
tag_string = f"{tag['server_name']}:{tag['tag_address']}"
|
||||
if tag_string not in tags:
|
||||
tags[tag_string] = {
|
||||
**tag,
|
||||
"topics": []
|
||||
}
|
||||
|
||||
tags[tag_string]['topics'].append(
|
||||
f"raw_{pipeline['schedule_name']}")
|
||||
|
||||
return tags
|
||||
|
||||
|
||||
def build_tag_config(tag: dict[str, Any], slot_config: dict[str, Any],
|
||||
opc_servers: dict[str, Any], i: int):
|
||||
server_name = tag['server_name']
|
||||
if server_name not in slot_config[f"{i}"]:
|
||||
slot_config[f"{i}"][server_name] = {
|
||||
"name": server_name,
|
||||
"url": opc_servers[server_name]['url'],
|
||||
"server_uri": opc_servers[server_name]['uri'],
|
||||
"tags": {}
|
||||
}
|
||||
for name, spec in opc_servers[server_name].get('security_spec', {}).items():
|
||||
slot_config[f"{i}"][server_name][name] = spec
|
||||
|
||||
slot_config[f"{i}"][server_name]["tags"][tag['tag_address']] = {
|
||||
**tag,
|
||||
}
|
||||
|
||||
return slot_config
|
||||
@@ -1,22 +1,18 @@
|
||||
from temporalio import workflow, client
|
||||
from temporalio.worker import Worker
|
||||
import sys
|
||||
|
||||
with workflow.unsafe.imports_passed_through():
|
||||
import os
|
||||
import sys
|
||||
import asyncio
|
||||
from laborious.workflows.predictions_batch import PredictionsBatch
|
||||
from laborious.workflows.sub_workflows.prediction_process import PredictionProcess
|
||||
from laborious.workflows.sub_workflows.format_and_export_prediction import \
|
||||
FormatAndExportPrediction
|
||||
from laborious.activities.activities import Activities
|
||||
from laborious.utils.logger import get_logger
|
||||
from laborious.utils.connectors_config import (
|
||||
build_postgres_config,
|
||||
build_mlflow_config,
|
||||
build_opc_config
|
||||
from orchestrator.workflows.orchestrator import Orchestrator
|
||||
from orchestrator.activities.activities import Activities
|
||||
from orchestrator.utils.connectors_config import (
|
||||
build_couchbase_config,
|
||||
build_redis_config,
|
||||
)
|
||||
from sientia_do.notifications.handlers import NotificationHandler
|
||||
from sientia_do.temporal.utils.logger import get_logger
|
||||
|
||||
|
||||
async def main():
|
||||
@@ -30,21 +26,7 @@ async def main():
|
||||
notification_handler = NotificationHandler(
|
||||
servers=os.getenv('KAFKA_BOOTSTRAP_SERVERS', 'http://localhost:9092'),
|
||||
logger=logger,
|
||||
project_name=os.getenv('PROJECT_NAME', 'laborious'),
|
||||
pipeline_name='-',
|
||||
trigger_name='-',
|
||||
model_name='-',
|
||||
model='-'
|
||||
)
|
||||
|
||||
logger.info('Starting Activities...')
|
||||
|
||||
activities = Activities(
|
||||
postgres_config=build_postgres_config(),
|
||||
mlflow_config=build_mlflow_config(),
|
||||
opc_config=build_opc_config(),
|
||||
logger=logger,
|
||||
notification_handler=notification_handler
|
||||
project_name=os.getenv('PROJECT_NAME', 'orchestrator'),
|
||||
)
|
||||
|
||||
logger.info('Starting Temporal Client...')
|
||||
@@ -54,33 +36,45 @@ async def main():
|
||||
namespace=os.getenv('TEMPORAL_NAMESPACE', 'default')
|
||||
)
|
||||
|
||||
logger.info('Starting Activities...')
|
||||
|
||||
activities = Activities(
|
||||
temporal_client=temporal_client,
|
||||
couchbase_config=build_couchbase_config(),
|
||||
redis_config=build_redis_config(),
|
||||
logger=logger,
|
||||
notification_handler=notification_handler
|
||||
)
|
||||
|
||||
logger.info('Starting Workers...')
|
||||
|
||||
workers = [
|
||||
Worker(
|
||||
temporal_client,
|
||||
task_queue='predictions-queue',
|
||||
workflows=[PredictionsBatch, PredictionProcess,
|
||||
FormatAndExportPrediction],
|
||||
task_queue='orchestrator-queue',
|
||||
workflows=[Orchestrator],
|
||||
activities=[
|
||||
# Base
|
||||
activities.prepare_activity,
|
||||
# MLFlow
|
||||
activities.request_predict,
|
||||
activities.request_transform,
|
||||
# Gates
|
||||
activities.input_gate,
|
||||
activities.mlflow_response_gate,
|
||||
activities.mlflow_content_gate,
|
||||
activities.format_prediction,
|
||||
activities.format_default_prediction,
|
||||
activities.get_last_timestamp,
|
||||
# OPC
|
||||
activities.write_opc_data,
|
||||
# Postgres
|
||||
activities.load_custom_query,
|
||||
activities.repeat_last_prediction,
|
||||
activities.export_data_to_postgres
|
||||
# Redis
|
||||
activities.load_active_ingestors,
|
||||
activities.load_opc_slots,
|
||||
activities.update_slots,
|
||||
activities.delete_slots,
|
||||
# Couchbase
|
||||
activities.load_query_from_couchbase,
|
||||
# Temporal
|
||||
activities.load_schedule,
|
||||
activities.create_schedules,
|
||||
activities.update_schedules,
|
||||
activities.delete_schedules,
|
||||
# Formatters
|
||||
activities.process_schedules,
|
||||
activities.process_slots,
|
||||
activities.create_schedule_config,
|
||||
activities.create_slot_config,
|
||||
activities.report_schedule_orchestration,
|
||||
activities.report_slot_orchestration,
|
||||
]
|
||||
)
|
||||
]
|
||||
|
||||
@@ -50,7 +50,7 @@ class Orchestrator:
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
slot_config_handler = workflow.execute_local_activity_method(
|
||||
current_slot_config_handler = workflow.execute_local_activity_method(
|
||||
Activities.load_opc_slots,
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
@@ -64,6 +64,127 @@ class Orchestrator:
|
||||
|
||||
pipeline_config = await pipeline_config_handler
|
||||
orchestrated_schedules = await orchestrated_schedules_handler
|
||||
slot_config = await slot_config_handler
|
||||
current_slot_config = await current_slot_config_handler
|
||||
opc_servers = await opc_servers_handler
|
||||
active_ingestors = await active_ingestors_handler
|
||||
|
||||
schedules_config_handler = workflow.execute_local_activity_method(
|
||||
Activities.process_schedules,
|
||||
{
|
||||
'pipelines': pipeline_config
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
slot_config_handler = workflow.execute_local_activity_method(
|
||||
Activities.process_slots,
|
||||
{
|
||||
'opc_servers': opc_servers,
|
||||
'active_ingestors': active_ingestors,
|
||||
'pipelines': pipeline_config,
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
schedules_config = await schedules_config_handler
|
||||
slot_config = await slot_config_handler
|
||||
|
||||
schedule_actions_handler = workflow.execute_local_activity_method(
|
||||
Activities.create_schedule_config,
|
||||
{
|
||||
'current_schedule_config': orchestrated_schedules,
|
||||
'schedule_config': schedules_config
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
slot_actions_handler = workflow.execute_local_activity_method(
|
||||
Activities.create_slot_config,
|
||||
{
|
||||
'current_slot_config': current_slot_config,
|
||||
'slot_config': slot_config
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
schedule_actions = await schedule_actions_handler
|
||||
slot_actions = await slot_actions_handler
|
||||
|
||||
slot_deletion_report_handler = workflow.execute_activity_method(
|
||||
Activities.delete_slots,
|
||||
{
|
||||
'to_delete': slot_actions['to_delete']
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
slot_insertion_report_handler = workflow.execute_activity_method(
|
||||
Activities.update_slots,
|
||||
{
|
||||
'to_insert': slot_actions['to_insert']
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
schedule_deletion_report_handler = workflow.execute_activity_method(
|
||||
Activities.delete_schedules,
|
||||
{
|
||||
'schedules': schedule_actions['to_delete']
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
schedule_insertion_report_handler = workflow.execute_activity_method(
|
||||
Activities.create_schedules,
|
||||
{
|
||||
'schedules': schedule_actions['to_create']
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
schedule_update_report_handler = workflow.execute_activity_method(
|
||||
Activities.update_schedules,
|
||||
{
|
||||
'schedules': schedule_actions['to_update']
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
slot_deletion_report = await slot_deletion_report_handler
|
||||
slot_insertion_report = await slot_insertion_report_handler
|
||||
schedule_deletion_report = await schedule_deletion_report_handler
|
||||
schedule_insertion_report = await schedule_insertion_report_handler
|
||||
schedule_update_report = await schedule_update_report_handler
|
||||
|
||||
schedule_report_handler = workflow.execute_activity_method(
|
||||
Activities.report_schedule_orchestration,
|
||||
{
|
||||
'created_schedules': schedule_insertion_report,
|
||||
'updated_schedules': schedule_update_report,
|
||||
'deleted_schedules': schedule_deletion_report
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
slot_report_handler = workflow.execute_activity_method(
|
||||
Activities.report_slot_orchestration,
|
||||
{
|
||||
'inserted_slots': slot_insertion_report,
|
||||
'deleted_slots': slot_deletion_report
|
||||
},
|
||||
retry_policy=retry_policy,
|
||||
start_to_close_timeout=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
await schedule_report_handler
|
||||
await slot_report_handler
|
||||
|
||||
501
test.ipynb
501
test.ipynb
@@ -136,19 +136,33 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 81,
|
||||
"execution_count": 2,
|
||||
"id": "bb750ae6",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<temporalio.client.ScheduleHandle at 0x76f314e5df90>"
|
||||
]
|
||||
},
|
||||
"execution_count": 81,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
"ename": "ScheduleAlreadyRunningError",
|
||||
"evalue": "Schedule already running",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
|
||||
"\u001b[31mRPCError\u001b[39m Traceback (most recent call last)",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/service.py:1243\u001b[39m, in \u001b[36m_BridgeServiceClient._rpc_call\u001b[39m\u001b[34m(self, rpc, req, resp_type, service, retry, metadata, timeout)\u001b[39m\n\u001b[32m 1242\u001b[39m client = \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m._connected_client()\n\u001b[32m-> \u001b[39m\u001b[32m1243\u001b[39m resp = \u001b[38;5;28;01mawait\u001b[39;00m client.call(\n\u001b[32m 1244\u001b[39m service=service,\n\u001b[32m 1245\u001b[39m rpc=rpc,\n\u001b[32m 1246\u001b[39m req=req,\n\u001b[32m 1247\u001b[39m resp_type=resp_type,\n\u001b[32m 1248\u001b[39m retry=retry,\n\u001b[32m 1249\u001b[39m metadata=metadata,\n\u001b[32m 1250\u001b[39m timeout=timeout,\n\u001b[32m 1251\u001b[39m )\n\u001b[32m 1252\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m LOG_PROTOS:\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/bridge/client.py:151\u001b[39m, in \u001b[36mClient.call\u001b[39m\u001b[34m(self, service, rpc, req, resp_type, retry, metadata, timeout)\u001b[39m\n\u001b[32m 150\u001b[39m resp = resp_type()\n\u001b[32m--> \u001b[39m\u001b[32m151\u001b[39m resp.ParseFromString(\u001b[38;5;28;01mawait\u001b[39;00m resp_fut)\n\u001b[32m 152\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n",
|
||||
"\u001b[31mRPCError\u001b[39m: (6, 'Workflow execution is already running. WorkflowId: temporal-sys-scheduler:meu-schedule-id5, RunId: 01971d9e-b19b-7e25-8f60-ba4ed95e12e4.', b'\\x08\\x06\\x12\\x88\\x01Workflow execution is already running. WorkflowId: temporal-sys-scheduler:meu-schedule-id5, RunId: 01971d9e-b19b-7e25-8f60-ba4ed95e12e4.\\x1a\\xa7\\x01\\nWtype.googleapis.com/temporal.api.errordetails.v1.WorkflowExecutionAlreadyStartedFailure\\x12L\\n$6ae80236-ccbf-45b5-8282-1ef14a559b59\\x12$01971d9e-b19b-7e25-8f60-ba4ed95e12e4')",
|
||||
"\nDuring handling of the above exception, another exception occurred:\n",
|
||||
"\u001b[31mRPCError\u001b[39m Traceback (most recent call last)",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/client.py:6430\u001b[39m, in \u001b[36m_ClientImpl.create_schedule\u001b[39m\u001b[34m(self, input)\u001b[39m\n\u001b[32m 6427\u001b[39m temporalio.converter.encode_search_attributes(\n\u001b[32m 6428\u001b[39m \u001b[38;5;28minput\u001b[39m.search_attributes, request.search_attributes\n\u001b[32m 6429\u001b[39m )\n\u001b[32m-> \u001b[39m\u001b[32m6430\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client.workflow_service.create_schedule(\n\u001b[32m 6431\u001b[39m request,\n\u001b[32m 6432\u001b[39m retry=\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[32m 6433\u001b[39m metadata=\u001b[38;5;28minput\u001b[39m.rpc_metadata,\n\u001b[32m 6434\u001b[39m timeout=\u001b[38;5;28minput\u001b[39m.rpc_timeout,\n\u001b[32m 6435\u001b[39m )\n\u001b[32m 6436\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m RPCError \u001b[38;5;28;01mas\u001b[39;00m err:\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/service.py:1170\u001b[39m, in \u001b[36mServiceCall.__call__\u001b[39m\u001b[34m(self, req, retry, metadata, timeout)\u001b[39m\n\u001b[32m 1155\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Invoke underlying client with the given request.\u001b[39;00m\n\u001b[32m 1156\u001b[39m \n\u001b[32m 1157\u001b[39m \u001b[33;03mArgs:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1168\u001b[39m \u001b[33;03m RPCError: Any RPC error that occurs during the call.\u001b[39;00m\n\u001b[32m 1169\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m1170\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m.service_client._rpc_call(\n\u001b[32m 1171\u001b[39m \u001b[38;5;28mself\u001b[39m.name,\n\u001b[32m 1172\u001b[39m req,\n\u001b[32m 1173\u001b[39m \u001b[38;5;28mself\u001b[39m.resp_type,\n\u001b[32m 1174\u001b[39m service=\u001b[38;5;28mself\u001b[39m.service,\n\u001b[32m 1175\u001b[39m retry=retry,\n\u001b[32m 1176\u001b[39m metadata=metadata,\n\u001b[32m 1177\u001b[39m timeout=timeout,\n\u001b[32m 1178\u001b[39m )\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/service.py:1258\u001b[39m, in \u001b[36m_BridgeServiceClient._rpc_call\u001b[39m\u001b[34m(self, rpc, req, resp_type, service, retry, metadata, timeout)\u001b[39m\n\u001b[32m 1257\u001b[39m status, message, details = err.args\n\u001b[32m-> \u001b[39m\u001b[32m1258\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m RPCError(message, RPCStatusCode(status), details)\n",
|
||||
"\u001b[31mRPCError\u001b[39m: Workflow execution is already running. WorkflowId: temporal-sys-scheduler:meu-schedule-id5, RunId: 01971d9e-b19b-7e25-8f60-ba4ed95e12e4.",
|
||||
"\nDuring handling of the above exception, another exception occurred:\n",
|
||||
"\u001b[31mScheduleAlreadyRunningError\u001b[39m Traceback (most recent call last)",
|
||||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 17\u001b[39m\n\u001b[32m 13\u001b[39m customer_id_key = SearchAttributeKey.for_keyword(\u001b[33m\"\u001b[39m\u001b[33mOrchestrated\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 14\u001b[39m search_attributes = TypedSearchAttributes([\n\u001b[32m 15\u001b[39m SearchAttributePair(customer_id_key, \u001b[33m\"\u001b[39m\u001b[33mtrue\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 16\u001b[39m ])\n\u001b[32m---> \u001b[39m\u001b[32m17\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m temporal_client.create_schedule(\n\u001b[32m 18\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mmeu-schedule-id5\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 19\u001b[39m Schedule(\n\u001b[32m 20\u001b[39m action=ScheduleActionStartWorkflow(\n\u001b[32m 21\u001b[39m \u001b[33m'\u001b[39m\u001b[33mscouter-test2\u001b[39m\u001b[33m'\u001b[39m,\n\u001b[32m 22\u001b[39m {\n\u001b[32m 23\u001b[39m \u001b[33m'\u001b[39m\u001b[33margs\u001b[39m\u001b[33m'\u001b[39m: {\n\u001b[32m 24\u001b[39m \u001b[33m'\u001b[39m\u001b[33marg1\u001b[39m\u001b[33m'\u001b[39m: \u001b[33m'\u001b[39m\u001b[33mvalue1\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 25\u001b[39m }\n\u001b[32m 26\u001b[39m },\n\u001b[32m 27\u001b[39m \u001b[38;5;28mid\u001b[39m=\u001b[33m\"\u001b[39m\u001b[33mworkflow-id-unico\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 28\u001b[39m task_queue=\u001b[33m\"\u001b[39m\u001b[33mnome-da-task-queue\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 29\u001b[39m ),\n\u001b[32m 30\u001b[39m spec=ScheduleSpec(\n\u001b[32m 31\u001b[39m intervals=[ScheduleIntervalSpec(every=timedelta(minutes=\u001b[32m10\u001b[39m))]\n\u001b[32m 32\u001b[39m )\n\u001b[32m 33\u001b[39m ),\n\u001b[32m 34\u001b[39m search_attributes=search_attributes,\n\u001b[32m 35\u001b[39m )\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/client.py:1308\u001b[39m, in \u001b[36mClient.create_schedule\u001b[39m\u001b[34m(self, id, schedule, trigger_immediately, backfill, memo, search_attributes, static_summary, static_details, rpc_metadata, rpc_timeout)\u001b[39m\n\u001b[32m 1275\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Create a schedule and return its handle.\u001b[39;00m\n\u001b[32m 1276\u001b[39m \n\u001b[32m 1277\u001b[39m \u001b[33;03mArgs:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1305\u001b[39m \u001b[33;03m running.\u001b[39;00m\n\u001b[32m 1306\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 1307\u001b[39m temporalio.common._warn_on_deprecated_search_attributes(search_attributes)\n\u001b[32m-> \u001b[39m\u001b[32m1308\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m._impl.create_schedule(\n\u001b[32m 1309\u001b[39m CreateScheduleInput(\n\u001b[32m 1310\u001b[39m \u001b[38;5;28mid\u001b[39m=\u001b[38;5;28mid\u001b[39m,\n\u001b[32m 1311\u001b[39m schedule=schedule,\n\u001b[32m 1312\u001b[39m trigger_immediately=trigger_immediately,\n\u001b[32m 1313\u001b[39m backfill=backfill,\n\u001b[32m 1314\u001b[39m memo=memo,\n\u001b[32m 1315\u001b[39m search_attributes=search_attributes,\n\u001b[32m 1316\u001b[39m rpc_metadata=rpc_metadata,\n\u001b[32m 1317\u001b[39m rpc_timeout=rpc_timeout,\n\u001b[32m 1318\u001b[39m )\n\u001b[32m 1319\u001b[39m )\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/client.py:6445\u001b[39m, in \u001b[36m_ClientImpl.create_schedule\u001b[39m\u001b[34m(self, input)\u001b[39m\n\u001b[32m 6437\u001b[39m already_started = (\n\u001b[32m 6438\u001b[39m err.status == RPCStatusCode.ALREADY_EXISTS\n\u001b[32m 6439\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m err.grpc_status.details\n\u001b[32m (...)\u001b[39m\u001b[32m 6442\u001b[39m )\n\u001b[32m 6443\u001b[39m )\n\u001b[32m 6444\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m already_started:\n\u001b[32m-> \u001b[39m\u001b[32m6445\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ScheduleAlreadyRunningError()\n\u001b[32m 6446\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[32m 6447\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ScheduleHandle(\u001b[38;5;28mself\u001b[39m._client, \u001b[38;5;28minput\u001b[39m.id)\n",
|
||||
"\u001b[31mScheduleAlreadyRunningError\u001b[39m: Schedule already running"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
@@ -191,7 +205,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 86,
|
||||
"execution_count": 2,
|
||||
"id": "1bd82225",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -200,474 +214,13 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Getting orchestrated schedules...\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id5', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id5\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test2\"\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id4', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id4\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test2\"\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id3', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id3\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test2\"\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id2', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 50, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 50, 0, 37623, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='workflow-id-unico-2025-05-29T19:50:00Z', first_execution_run_id='01971d98-265a-7285-b46f-cf09bcf2d301'))], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id2\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test2\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548200\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548200\n",
|
||||
" nanos: 37623285\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"workflow-id-unico-2025-05-29T19:50:00Z\"\n",
|
||||
" run_id: \"01971d98-265a-7285-b46f-cf09bcf2d301\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 0, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 0, 0, 37788, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='workflow-id-unico-2025-05-29T19:00:00Z', first_execution_run_id='01971d6a-5fa1-70f8-8371-60ad11587b77'))], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748545200\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748545200\n",
|
||||
" nanos: 37788631\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"workflow-id-unico-2025-05-29T19:00:00Z\"\n",
|
||||
" run_id: \"01971d6a-5fa1-70f8-8371-60ad11587b77\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='laborious_test', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='predictions_batch'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=60), offset=datetime.timedelta(0))], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 53, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 53, 0, 35750, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:53:00Z', first_execution_run_id='01971d9a-e57f-700b-953b-bdb3b05810e2')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 54, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 54, 0, 35780, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:54:00Z', first_execution_run_id='01971d9b-cfde-7f39-8b38-b7e62fee1f82')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 55, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 55, 0, 34329, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:55:00Z', first_execution_run_id='01971d9c-ba3c-7d27-9db7-72759ebabc76')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 56, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 56, 0, 49214, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:56:00Z', first_execution_run_id='01971d9d-a4a9-7b55-a77b-fd450e768ccf')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 57, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 57, 0, 36109, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:57:00Z', first_execution_run_id='01971d9e-8eff-7608-9b10-0ed1875df9fe'))], next_action_times=[datetime.datetime(2025, 5, 29, 19, 58, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 59, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 1, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 2, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[]), search_attributes={}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"laborious_test\"\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 60\n",
|
||||
" }\n",
|
||||
" phase {\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"predictions_batch\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548380\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548380\n",
|
||||
" nanos: 35750962\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:53:00Z\"\n",
|
||||
" run_id: \"01971d9a-e57f-700b-953b-bdb3b05810e2\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548440\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548440\n",
|
||||
" nanos: 35780414\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:54:00Z\"\n",
|
||||
" run_id: \"01971d9b-cfde-7f39-8b38-b7e62fee1f82\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" nanos: 34329717\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:55:00Z\"\n",
|
||||
" run_id: \"01971d9c-ba3c-7d27-9db7-72759ebabc76\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" nanos: 49214684\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:56:00Z\"\n",
|
||||
" run_id: \"01971d9d-a4a9-7b55-a77b-fd450e768ccf\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" nanos: 36109875\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:57:00Z\"\n",
|
||||
" run_id: \"01971d9e-8eff-7608-9b10-0ed1875df9fe\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548680\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548740\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548860\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548920\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='scouter-opcua-pipeline', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=30), offset=datetime.timedelta(0))], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 55, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 55, 0, 26130, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:55:00Z', first_execution_run_id='01971d9c-ba35-7b2a-b596-effe9939c7c7')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 55, 30, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 55, 30, 26550, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:55:30Z', first_execution_run_id='01971d9d-2f66-7012-bd77-e5809b8c4c7a')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 56, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 56, 0, 39848, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:56:00Z', first_execution_run_id='01971d9d-a4a1-7ba9-9205-21f157fe6e54')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 56, 30, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 56, 30, 39791, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:56:30Z', first_execution_run_id='01971d9e-19d2-7358-96d3-261e203faaa7')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 57, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 57, 0, 28221, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:57:00Z', first_execution_run_id='01971d9e-8ef8-72af-a903-1391b5e06c2f'))], next_action_times=[datetime.datetime(2025, 5, 29, 19, 57, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 58, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 58, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 59, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 59, 30, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[]), search_attributes={}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"scouter-opcua-pipeline\"\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 30\n",
|
||||
" }\n",
|
||||
" phase {\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" nanos: 26130839\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:55:00Z\"\n",
|
||||
" run_id: \"01971d9c-ba35-7b2a-b596-effe9939c7c7\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548530\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548530\n",
|
||||
" nanos: 26550164\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:55:30Z\"\n",
|
||||
" run_id: \"01971d9d-2f66-7012-bd77-e5809b8c4c7a\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" nanos: 39848794\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:56:00Z\"\n",
|
||||
" run_id: \"01971d9d-a4a1-7ba9-9205-21f157fe6e54\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548590\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548590\n",
|
||||
" nanos: 39791709\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:56:30Z\"\n",
|
||||
" run_id: \"01971d9e-19d2-7358-96d3-261e203faaa7\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" nanos: 28221068\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:57:00Z\"\n",
|
||||
" run_id: \"01971d9e-8ef8-72af-a903-1391b5e06c2f\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548650\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548680\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548710\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548740\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548770\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {}\n",
|
||||
"Found %d orchestrated schedules 5\n"
|
||||
"Found %d orchestrated schedules 5\n",
|
||||
"Orchestrated schedules: %s {'meu-schedule-id5': {'frequency': 600, 'data': {'args': {'arg1': 'value1'}}, 'handle': <temporalio.client.ScheduleHandle object at 0x701334390f10>}, 'meu-schedule-id4': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d0b10>}, 'meu-schedule-id3': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d0a90>}, 'meu-schedule-id2': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d0ed0>}, 'meu-schedule-id': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d1190>}}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"schedules = await manager.load_schedule({})"
|
||||
"schedules = await manager.load_schedule()"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -4,12 +4,15 @@ from orchestrator.activities.activities import Activities
|
||||
from orchestrator.activities.couchbase import Couchbase
|
||||
from orchestrator.activities.temporal_manager import TemporalManager
|
||||
from orchestrator.activities.slot_manager import SlotManager
|
||||
from orchestrator.activities.formatters import Formatters
|
||||
|
||||
|
||||
@patch('orchestrator.activities.couchbase.Couchbase.__init__')
|
||||
@patch('orchestrator.activities.temporal_manager.TemporalManager.__init__')
|
||||
@patch('orchestrator.activities.slot_manager.SlotManager.__init__')
|
||||
def test___init__(mock_slot_manager_init, mock_temporal_manager_init,
|
||||
@patch('orchestrator.activities.formatters.Formatters.__init__')
|
||||
def test___init__(mock_formatters_init, mock_slot_manager_init,
|
||||
mock_temporal_manager_init,
|
||||
mock_couchbase_init):
|
||||
|
||||
couchbase_config = {
|
||||
@@ -41,6 +44,7 @@ def test___init__(mock_slot_manager_init, mock_temporal_manager_init,
|
||||
assert isinstance(activities, Couchbase)
|
||||
assert isinstance(activities, TemporalManager)
|
||||
assert isinstance(activities, SlotManager)
|
||||
assert isinstance(activities, Formatters)
|
||||
|
||||
mock_slot_manager_init.assert_called_once_with(
|
||||
ANY,
|
||||
@@ -68,6 +72,12 @@ def test___init__(mock_slot_manager_init, mock_temporal_manager_init,
|
||||
notification_handler=notification_handler
|
||||
)
|
||||
|
||||
mock_formatters_init.assert_called_once_with(
|
||||
ANY,
|
||||
logger=logger,
|
||||
notification_handler=notification_handler
|
||||
)
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch('orchestrator.activities.couchbase.Cluster')
|
||||
|
||||
480
tests/orchestrator/activities/test_formatters.py
Normal file
480
tests/orchestrator/activities/test_formatters.py
Normal file
@@ -0,0 +1,480 @@
|
||||
from unittest.mock import MagicMock, patch, call, ANY
|
||||
import json
|
||||
from pytest import fixture, mark
|
||||
from sientia_do.notifications.models import NotificationLevel
|
||||
from orchestrator.activities.formatters import Formatters
|
||||
from orchestrator.utils.orchestrator_functions import build_tag_config
|
||||
|
||||
|
||||
@fixture
|
||||
def formatters():
|
||||
return Formatters(
|
||||
logger=MagicMock(),
|
||||
notification_handler=MagicMock()
|
||||
)
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch("orchestrator.activities.formatters.scouter",
|
||||
return_value="test_scouter")
|
||||
@patch("orchestrator.activities.formatters.predictions_batch",
|
||||
return_value="test_predictions_batch")
|
||||
async def test_process_schedules(mock_predictions_batch, mock_scouter, formatters):
|
||||
input_data = {
|
||||
"pipelines": [
|
||||
{
|
||||
"schedule_name": "test_schedule_name",
|
||||
"workflow_type": "scouter",
|
||||
"model_name": "test_model_name",
|
||||
"model_id": "test_model_id"
|
||||
},
|
||||
{
|
||||
"schedule_name": "test_schedule_name2",
|
||||
"workflow_type": "predictions_batch",
|
||||
"model_name": "test_model_name",
|
||||
"model_id": "test_model_id"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
result = await formatters.process_schedules(input_data)
|
||||
|
||||
assert result == {
|
||||
"test_schedule_name": "test_scouter",
|
||||
"test_schedule_name2": "test_predictions_batch"
|
||||
}
|
||||
|
||||
mock_scouter.assert_called_once_with(input_data['pipelines'][0])
|
||||
mock_predictions_batch.assert_called_once_with(input_data['pipelines'][1])
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch("orchestrator.activities.formatters.gather_read_tags",
|
||||
return_value={
|
||||
"test_server_name:test_tag_address": {
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address",
|
||||
"topics": ["raw_test_schedule"]
|
||||
},
|
||||
"test_server_name2:test_tag_address2": {
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address2",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
},
|
||||
"test_server_name2:test_tag_address3": {
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address3",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
}
|
||||
})
|
||||
@patch("orchestrator.activities.formatters.build_tag_config", side_effect=build_tag_config)
|
||||
async def test_process_slots(mock_build_tag_config, mock_gather_read_tags, formatters):
|
||||
input_data = {
|
||||
"opc_servers": [
|
||||
{
|
||||
"server_name": "test_server_name",
|
||||
"url": "test_url",
|
||||
"uri": "test_uri",
|
||||
"security_spec": {
|
||||
"test_name": "test_spec"
|
||||
}
|
||||
},
|
||||
{
|
||||
"server_name": "test_server_name2",
|
||||
"url": "test_url2",
|
||||
"uri": "test_uri2"
|
||||
}
|
||||
],
|
||||
"active_ingestors": [
|
||||
"test_active_ingestor1",
|
||||
"test_active_ingestor2"
|
||||
],
|
||||
"pipelines": "test_gather_read_tags"
|
||||
}
|
||||
|
||||
result = await formatters.process_slots(input_data)
|
||||
|
||||
mock_gather_read_tags.assert_called_once_with(input_data['pipelines'])
|
||||
mock_build_tag_config.assert_has_calls([
|
||||
call(
|
||||
{
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address",
|
||||
"topics": ["raw_test_schedule"]
|
||||
},
|
||||
ANY,
|
||||
{
|
||||
"test_server_name": {
|
||||
"server_name": "test_server_name",
|
||||
"url": "test_url",
|
||||
"uri": "test_uri",
|
||||
"security_spec": {
|
||||
"test_name": "test_spec"
|
||||
}
|
||||
},
|
||||
"test_server_name2": {
|
||||
"server_name": "test_server_name2",
|
||||
"url": "test_url2",
|
||||
"uri": "test_uri2"
|
||||
}
|
||||
},
|
||||
1
|
||||
)
|
||||
])
|
||||
mock_build_tag_config.assert_has_calls([
|
||||
call(
|
||||
{
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address2",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
},
|
||||
ANY,
|
||||
{
|
||||
"test_server_name": {
|
||||
"server_name": "test_server_name",
|
||||
"url": "test_url",
|
||||
"uri": "test_uri",
|
||||
"security_spec": {
|
||||
"test_name": "test_spec"
|
||||
}
|
||||
},
|
||||
"test_server_name2": {
|
||||
"server_name": "test_server_name2",
|
||||
"url": "test_url2",
|
||||
"uri": "test_uri2"
|
||||
}
|
||||
},
|
||||
1
|
||||
)
|
||||
])
|
||||
mock_build_tag_config.assert_has_calls([
|
||||
call(
|
||||
{
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address3",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
},
|
||||
ANY,
|
||||
{
|
||||
"test_server_name": {
|
||||
"server_name": "test_server_name",
|
||||
"url": "test_url",
|
||||
"uri": "test_uri",
|
||||
"security_spec": {
|
||||
"test_name": "test_spec"
|
||||
}
|
||||
},
|
||||
"test_server_name2": {
|
||||
"server_name": "test_server_name2",
|
||||
"url": "test_url2",
|
||||
"uri": "test_uri2"
|
||||
}
|
||||
},
|
||||
2
|
||||
)
|
||||
])
|
||||
|
||||
assert result == {
|
||||
"1": {
|
||||
"test_server_name": {
|
||||
"name": "test_server_name",
|
||||
"url": "test_url",
|
||||
"server_uri": "test_uri",
|
||||
"test_name": "test_spec",
|
||||
"tags": {
|
||||
"test_tag_address": {
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address",
|
||||
"topics": ["raw_test_schedule"]
|
||||
}
|
||||
}
|
||||
},
|
||||
"test_server_name2": {
|
||||
"name": "test_server_name2",
|
||||
"url": "test_url2",
|
||||
"server_uri": "test_uri2",
|
||||
"tags": {
|
||||
"test_tag_address2": {
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address2",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"2": {
|
||||
"test_server_name2": {
|
||||
"name": "test_server_name2",
|
||||
"url": "test_url2",
|
||||
"server_uri": "test_uri2",
|
||||
"tags": {
|
||||
"test_tag_address3": {
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address3",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_create_schedule_config(formatters):
|
||||
input_data = {
|
||||
"current_schedule_config": {
|
||||
"test_schedule_name_to_delete": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"}
|
||||
},
|
||||
"test_schedule_name_to_update": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"}
|
||||
}
|
||||
},
|
||||
"schedule_config": {
|
||||
"test_schedule_name_to_create": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"}
|
||||
},
|
||||
"test_schedule_name_to_update": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test2"}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
result = await formatters.create_schedule_config(input_data)
|
||||
|
||||
assert result == {
|
||||
"to_create": {
|
||||
"test_schedule_name_to_create": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"}
|
||||
}
|
||||
},
|
||||
"to_update": {
|
||||
"test_schedule_name_to_update": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test2"}
|
||||
}
|
||||
},
|
||||
"to_delete": [
|
||||
"test_schedule_name_to_delete"
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_create_slot_config(formatters):
|
||||
input_data = {
|
||||
"current_slot_config": {
|
||||
"1": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"}
|
||||
},
|
||||
"2": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"}
|
||||
}
|
||||
},
|
||||
"slot_config": {
|
||||
"1": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test2"}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
result = await formatters.create_slot_config(input_data)
|
||||
|
||||
assert result == {
|
||||
"to_delete": [
|
||||
"2"
|
||||
],
|
||||
"to_insert": {
|
||||
"1": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test2"}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
def test_send_success_report(formatters):
|
||||
formatters.send_success_report("test_message", "test_notification_id")
|
||||
formatters.notification_handler.build_and_send_notification.assert_called_once_with(
|
||||
"test_notification_id",
|
||||
"test_message",
|
||||
"report_orchestration",
|
||||
NotificationLevel.INFO
|
||||
)
|
||||
|
||||
|
||||
def test_send_error_report(formatters):
|
||||
formatters.send_error_report(
|
||||
"test_message", "test_notification_id", {"test": "test"})
|
||||
formatters.notification_handler.build_and_send_notification.assert_called_once_with(
|
||||
"test_notification_id",
|
||||
"test_message",
|
||||
"report_orchestration",
|
||||
NotificationLevel.ERROR,
|
||||
attachment_content=json.dumps(
|
||||
{"test": "test"}, indent=4, sort_keys=True)
|
||||
)
|
||||
|
||||
|
||||
def test_parse_report(formatters):
|
||||
input_data = {
|
||||
"test_schedule_name_to_create": {
|
||||
"success": True
|
||||
},
|
||||
"test_schedule_name_to_create_error": {
|
||||
"success": False,
|
||||
"error": "test_error"
|
||||
}
|
||||
}
|
||||
|
||||
result = formatters.parse_report(input_data)
|
||||
|
||||
assert result == (
|
||||
["test_schedule_name_to_create"],
|
||||
["test_schedule_name_to_create_error"]
|
||||
)
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_report_schedule_orchestration(formatters):
|
||||
formatters.parse_report = MagicMock(
|
||||
side_effect=formatters.parse_report
|
||||
)
|
||||
formatters.send_success_report = MagicMock()
|
||||
formatters.send_error_report = MagicMock()
|
||||
|
||||
input_data = {
|
||||
"created_schedules": {
|
||||
"test_schedule_name_to_create": {
|
||||
"success": True
|
||||
},
|
||||
"test_schedule_name_to_create_error": {
|
||||
"success": False,
|
||||
"error": "test_error"
|
||||
}
|
||||
},
|
||||
"updated_schedules": {
|
||||
"test_schedule_name_to_update": {
|
||||
"success": True
|
||||
},
|
||||
"test_schedule_name_to_update_error": {
|
||||
"success": False,
|
||||
"error": "test_error"
|
||||
}
|
||||
},
|
||||
"deleted_schedules": {
|
||||
"test_schedule_name_to_delete": {
|
||||
"success": True
|
||||
},
|
||||
"test_schedule_name_to_delete_error": {
|
||||
"success": False,
|
||||
"error": "test_error"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
await formatters.report_schedule_orchestration(input_data)
|
||||
|
||||
formatters.parse_report.assert_has_calls([
|
||||
call(input_data['created_schedules']),
|
||||
call(input_data['updated_schedules']),
|
||||
call(input_data['deleted_schedules'])
|
||||
])
|
||||
formatters.send_success_report.assert_has_calls([
|
||||
call(
|
||||
"Created schedules: \n test_schedule_name_to_create",
|
||||
"REPORT_ORCHESTRATION_CREATED_SCHEDULES"
|
||||
),
|
||||
call(
|
||||
"Updated schedules: \n test_schedule_name_to_update",
|
||||
"REPORT_ORCHESTRATION_UPDATED_SCHEDULES"
|
||||
),
|
||||
call(
|
||||
"Deleted schedules: \n test_schedule_name_to_delete",
|
||||
"REPORT_ORCHESTRATION_DELETED_SCHEDULES"
|
||||
)
|
||||
])
|
||||
formatters.send_error_report.assert_has_calls([
|
||||
call(
|
||||
"Failed to create schedules: \n test_schedule_name_to_create_error",
|
||||
"REPORT_ORCHESTRATION_CREATED_SCHEDULES",
|
||||
input_data['created_schedules']
|
||||
),
|
||||
call(
|
||||
"Failed to update schedules: \n test_schedule_name_to_update_error",
|
||||
"REPORT_ORCHESTRATION_UPDATED_SCHEDULES",
|
||||
input_data['updated_schedules']
|
||||
),
|
||||
call(
|
||||
"Failed to delete schedules: \n test_schedule_name_to_delete_error",
|
||||
"REPORT_ORCHESTRATION_DELETED_SCHEDULES",
|
||||
input_data['deleted_schedules']
|
||||
)
|
||||
])
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_report_slot_orchestration(formatters):
|
||||
formatters.parse_report = MagicMock(
|
||||
side_effect=formatters.parse_report
|
||||
)
|
||||
formatters.send_success_report = MagicMock()
|
||||
formatters.send_error_report = MagicMock()
|
||||
|
||||
input_data = {
|
||||
"inserted_slots": {
|
||||
"test_slot_name_to_create": {
|
||||
"success": True
|
||||
},
|
||||
"test_slot_name_to_create_error": {
|
||||
"success": False,
|
||||
"error": "test_error"
|
||||
}
|
||||
},
|
||||
"deleted_slots": {
|
||||
"test_slot_name_to_delete": {
|
||||
"success": True
|
||||
},
|
||||
"test_slot_name_to_delete_error": {
|
||||
"success": False,
|
||||
"error": "test_error"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
await formatters.report_slot_orchestration(input_data)
|
||||
|
||||
formatters.parse_report.assert_has_calls([
|
||||
call(input_data['inserted_slots']),
|
||||
call(input_data['deleted_slots'])
|
||||
])
|
||||
formatters.send_success_report.assert_has_calls([
|
||||
call(
|
||||
"Inserted slots: \n test_slot_name_to_create",
|
||||
"REPORT_ORCHESTRATION_INSERTED_SLOTS"
|
||||
),
|
||||
call(
|
||||
"Deleted slots: \n test_slot_name_to_delete",
|
||||
"REPORT_ORCHESTRATION_DELETED_SLOTS"
|
||||
)
|
||||
])
|
||||
formatters.send_error_report.assert_has_calls([
|
||||
call(
|
||||
"Failed to insert slots: \n test_slot_name_to_create_error",
|
||||
"REPORT_ORCHESTRATION_INSERTED_SLOTS",
|
||||
input_data['inserted_slots']
|
||||
),
|
||||
call(
|
||||
"Failed to delete slots: \n test_slot_name_to_delete_error",
|
||||
"REPORT_ORCHESTRATION_DELETED_SLOTS",
|
||||
input_data['deleted_slots']
|
||||
)
|
||||
])
|
||||
@@ -1,4 +1,4 @@
|
||||
from unittest.mock import MagicMock, patch
|
||||
from unittest.mock import MagicMock, patch, call
|
||||
from pytest import mark, fixture
|
||||
from orchestrator.activities.slot_manager import SlotManager
|
||||
|
||||
@@ -55,3 +55,66 @@ async def test_load_active_ingestors(slot_manager):
|
||||
|
||||
assert response == ["heartbeat:ingestor:1",
|
||||
"heartbeat:ingestor:2", "heartbeat:ingestor:3"]
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_update_slots(slot_manager):
|
||||
slot_manager.set = MagicMock(
|
||||
side_effect=[
|
||||
None,
|
||||
Exception("Test exception")
|
||||
]
|
||||
)
|
||||
|
||||
response = await slot_manager.update_slots({
|
||||
"to_insert": {
|
||||
"1": "value1",
|
||||
"2": "value2"
|
||||
}
|
||||
})
|
||||
|
||||
slot_manager.set.assert_has_calls([
|
||||
call("slot:opc_tags:1", "value1", ttl=None),
|
||||
call("slot:opc_tags:2", "value2", ttl=None)
|
||||
])
|
||||
|
||||
assert response == {
|
||||
"1": {
|
||||
"success": True,
|
||||
"message": "Slot updated successfully"
|
||||
},
|
||||
"2": {
|
||||
"success": False,
|
||||
"message": "Test exception"
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_delete_slots(slot_manager):
|
||||
slot_manager.redis_client.delete = MagicMock(
|
||||
side_effect=[
|
||||
None,
|
||||
Exception("Test exception")
|
||||
]
|
||||
)
|
||||
|
||||
response = await slot_manager.delete_slots({
|
||||
"to_delete": ["1", "2"]
|
||||
})
|
||||
|
||||
slot_manager.redis_client.delete.assert_has_calls([
|
||||
call("slot:opc_tags:1"),
|
||||
call("slot:opc_tags:2")
|
||||
])
|
||||
|
||||
assert response == {
|
||||
"1": {
|
||||
"success": True,
|
||||
"message": "Slot deleted successfully"
|
||||
},
|
||||
"2": {
|
||||
"success": False,
|
||||
"message": "Test exception"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,8 +1,10 @@
|
||||
from unittest.mock import MagicMock, patch, AsyncMock
|
||||
from unittest.mock import MagicMock, patch, AsyncMock, call
|
||||
from datetime import timedelta
|
||||
import base64
|
||||
import json
|
||||
from pytest import fixture, mark
|
||||
from orchestrator.activities.temporal_manager import TemporalManager
|
||||
from orchestrator.utils.converters import parse_frequency
|
||||
|
||||
|
||||
@fixture
|
||||
@@ -41,7 +43,7 @@ async def test_load_schedule(_mock_message_to_dict, temporal_manager):
|
||||
|
||||
temporal_manager.temporal_client.list_schedules = AsyncMock(
|
||||
return_value=async_iter())
|
||||
temporal_manager.temporal_client.get_schedule.return_value = MagicMock(
|
||||
temporal_manager.temporal_client.get_schedule_handle.return_value = MagicMock(
|
||||
describe=AsyncMock(
|
||||
return_value=MagicMock(
|
||||
schedule=MagicMock(
|
||||
@@ -57,7 +59,7 @@ async def test_load_schedule(_mock_message_to_dict, temporal_manager):
|
||||
)
|
||||
)
|
||||
)
|
||||
temporal_manager.temporal_client.get_schedule.return_value.describe \
|
||||
temporal_manager.temporal_client.get_schedule_handle.return_value.describe \
|
||||
.return_value.schedule.spec = MagicMock(
|
||||
intervals=[
|
||||
MagicMock(
|
||||
@@ -74,7 +76,205 @@ async def test_load_schedule(_mock_message_to_dict, temporal_manager):
|
||||
assert response == {
|
||||
"test-schedule-id": {
|
||||
"frequency": 60,
|
||||
"data": {"test": "test"},
|
||||
"handle": temporal_manager.temporal_client.get_schedule.return_value
|
||||
"data": {"test": "test"}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch("orchestrator.activities.temporal_manager.parse_frequency",
|
||||
side_effect=parse_frequency)
|
||||
@patch("orchestrator.activities.temporal_manager.Schedule")
|
||||
@patch("orchestrator.activities.temporal_manager.ScheduleActionStartWorkflow")
|
||||
@patch("orchestrator.activities.temporal_manager.ScheduleIntervalSpec")
|
||||
@patch("orchestrator.activities.temporal_manager.ScheduleSpec")
|
||||
@patch("orchestrator.activities.temporal_manager.TypedSearchAttributes")
|
||||
@patch("orchestrator.activities.temporal_manager.SearchAttributePair")
|
||||
async def test_create_schedule(
|
||||
mock_search_attribute_pair,
|
||||
mock_typed_search_attributes,
|
||||
mock_schedule_spec,
|
||||
mock_schedule_interval_spec,
|
||||
mock_schedule_action_start_workflow,
|
||||
mock_schedule,
|
||||
mock_parse_frequency,
|
||||
temporal_manager):
|
||||
|
||||
input_data = {
|
||||
"schedules": {
|
||||
"test-schedule": {
|
||||
"model_id": 1,
|
||||
"model_name": "test-model-name",
|
||||
"workflow_type": "test-workflow",
|
||||
"frequency": "1m",
|
||||
"data": {"test": "test"}
|
||||
},
|
||||
"test-schedule-invalid-frequency": {
|
||||
"model_id": 2,
|
||||
"model_name": "test-model-name",
|
||||
"workflow_type": "test-workflow",
|
||||
"frequency": "10y",
|
||||
"data": {"test": "test"}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
temporal_manager.temporal_client.create_schedule = AsyncMock()
|
||||
|
||||
report = await temporal_manager.create_schedules(input_data)
|
||||
|
||||
temporal_manager.temporal_client.create_schedule.assert_called_once_with(
|
||||
"test-schedule",
|
||||
mock_schedule.return_value,
|
||||
search_attributes=mock_typed_search_attributes.return_value
|
||||
)
|
||||
|
||||
mock_schedule.assert_called_once_with(
|
||||
action=mock_schedule_action_start_workflow.return_value,
|
||||
spec=mock_schedule_spec.return_value
|
||||
)
|
||||
|
||||
mock_schedule_action_start_workflow.assert_has_calls([
|
||||
call(
|
||||
workflow="test-workflow",
|
||||
args=input_data['schedules']['test-schedule'],
|
||||
id="test-schedule",
|
||||
task_queue="test-workflow-queue"
|
||||
),
|
||||
call(
|
||||
workflow="test-workflow",
|
||||
args=input_data['schedules']['test-schedule-invalid-frequency'],
|
||||
id="test-schedule-invalid-frequency",
|
||||
task_queue="test-workflow-queue"
|
||||
)
|
||||
])
|
||||
|
||||
mock_schedule_spec.assert_called_once_with(
|
||||
intervals=[
|
||||
mock_schedule_interval_spec.return_value
|
||||
]
|
||||
)
|
||||
|
||||
mock_schedule_interval_spec.assert_called_once_with(
|
||||
every=timedelta(seconds=60)
|
||||
)
|
||||
|
||||
mock_parse_frequency.assert_has_calls([
|
||||
call("1m"),
|
||||
call("10y")
|
||||
])
|
||||
|
||||
mock_typed_search_attributes.assert_has_calls([
|
||||
call([
|
||||
mock_search_attribute_pair.return_value,
|
||||
mock_search_attribute_pair.return_value,
|
||||
mock_search_attribute_pair.return_value
|
||||
]),
|
||||
call([
|
||||
mock_search_attribute_pair.return_value,
|
||||
mock_search_attribute_pair.return_value,
|
||||
mock_search_attribute_pair.return_value
|
||||
])
|
||||
])
|
||||
|
||||
mock_search_attribute_pair.assert_has_calls([
|
||||
call(
|
||||
key=temporal_manager.model_id_id_key,
|
||||
value=1
|
||||
),
|
||||
call(
|
||||
key=temporal_manager.model_name_id_key,
|
||||
value="test-model-name"
|
||||
),
|
||||
call(
|
||||
key=temporal_manager.orchestrated_id_key,
|
||||
value="true"
|
||||
)
|
||||
])
|
||||
|
||||
assert report == {
|
||||
"test-schedule": {
|
||||
"success": True,
|
||||
"message": "Schedule created successfully"
|
||||
},
|
||||
"test-schedule-invalid-frequency": {
|
||||
"success": False,
|
||||
"message": "Invalid frequency"
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
@patch("orchestrator.activities.temporal_manager.parse_frequency",
|
||||
side_effect=parse_frequency)
|
||||
@patch("orchestrator.activities.temporal_manager.ScheduleIntervalSpec")
|
||||
async def test_update_schedules(
|
||||
_mock_schedule_interval_spec,
|
||||
_mock_parse_frequency,
|
||||
temporal_manager):
|
||||
input_mock = MagicMock(
|
||||
args=MagicMock()
|
||||
)
|
||||
temporal_manager.schedule_handles = {
|
||||
"test-schedule": MagicMock(
|
||||
update=AsyncMock(
|
||||
update=AsyncMock(
|
||||
side_effect=lambda f: f(input_mock)
|
||||
)
|
||||
)
|
||||
)
|
||||
}
|
||||
input_data = {
|
||||
"schedules": {
|
||||
"test-schedule": {
|
||||
"frequency": "1m",
|
||||
"data": {"test": "test"}
|
||||
},
|
||||
"test-schedule_no_handler": {
|
||||
"frequency": "1m",
|
||||
"data": {"test": "test"}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
report = await temporal_manager.update_schedules(input_data)
|
||||
|
||||
temporal_manager.schedule_handles['test-schedule'].update.assert_called_once()
|
||||
|
||||
assert report == {
|
||||
"test-schedule": {
|
||||
"success": True,
|
||||
"message": "Schedule updated successfully"
|
||||
},
|
||||
"test-schedule_no_handler": {
|
||||
"success": False,
|
||||
"message": "Schedule test-schedule_no_handler not found"
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_delete_schedules(temporal_manager):
|
||||
temporal_manager.schedule_handles = {
|
||||
"test-schedule": MagicMock(
|
||||
delete=AsyncMock()
|
||||
)
|
||||
}
|
||||
input_data = {
|
||||
"schedules": [
|
||||
"test-schedule", "test-schedule_no_handler"
|
||||
]
|
||||
}
|
||||
|
||||
report = await temporal_manager.delete_schedules(input_data)
|
||||
|
||||
assert report == {
|
||||
"test-schedule": {
|
||||
"success": True,
|
||||
"message": "Schedule deleted successfully"
|
||||
},
|
||||
"test-schedule_no_handler": {
|
||||
"success": False,
|
||||
"message": "Schedule test-schedule_no_handler not found"
|
||||
}
|
||||
}
|
||||
|
||||
325
tests/orchestrator/utils/test_orchestrator_functions.py
Normal file
325
tests/orchestrator/utils/test_orchestrator_functions.py
Normal file
@@ -0,0 +1,325 @@
|
||||
from unittest.mock import patch, call
|
||||
from orchestrator.utils.orchestrator_functions import (
|
||||
common_config,
|
||||
scouter,
|
||||
predictions_batch,
|
||||
overlap_filter_config,
|
||||
process_path_priority,
|
||||
gather_read_tags,
|
||||
build_tag_config
|
||||
)
|
||||
|
||||
|
||||
def test_common_config():
|
||||
config = {
|
||||
"schedule_name": "test_schedule",
|
||||
"model_id": "test_model_id",
|
||||
"model_name": "test_model_name"
|
||||
}
|
||||
result = common_config(config)
|
||||
expected = {
|
||||
"workflow_type": "scouter",
|
||||
"schedule_name": "test_schedule",
|
||||
"frequency": "1m",
|
||||
"max_retry_policy": 1,
|
||||
"model_id": "test_model_id",
|
||||
"model_name": "test_model_name"
|
||||
}
|
||||
assert result == expected
|
||||
|
||||
|
||||
def test_scouter():
|
||||
config = {
|
||||
"schedule_name": "test_schedule",
|
||||
"model_id": "test_model_id",
|
||||
"model_name": "test_model_name",
|
||||
"filters": [
|
||||
{
|
||||
"filter_name": "test_filter_name",
|
||||
"policy": "test_policy"
|
||||
}
|
||||
],
|
||||
"read_tags": [
|
||||
{
|
||||
"tag_name": "test_tag_name",
|
||||
"aggr_func": "test_aggr_func",
|
||||
"data_range": [1, 2]
|
||||
}
|
||||
],
|
||||
"tag_retention_minutes": 10
|
||||
}
|
||||
result = scouter(config)
|
||||
expected = {
|
||||
"workflow_type": "scouter",
|
||||
"schedule_name": "test_schedule",
|
||||
"frequency": "1m",
|
||||
"max_retry_policy": 1,
|
||||
"model_id": "test_model_id",
|
||||
"model_name": "test_model_name",
|
||||
"topic": "raw_test_schedule",
|
||||
"trigger_laborious": False,
|
||||
"filters": {
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy"
|
||||
}
|
||||
},
|
||||
"schema": "sientia_data",
|
||||
"table_name": "laborious_data",
|
||||
"retention_time": 10 * 60,
|
||||
"model_tags": {
|
||||
"test_tag_name": {
|
||||
"aggr_func": "test_aggr_func",
|
||||
"data_range": [1, 2]
|
||||
}
|
||||
}
|
||||
}
|
||||
assert result == expected
|
||||
|
||||
|
||||
def test_overlap_filter_config():
|
||||
config = [
|
||||
{
|
||||
"filter_name": "test_filter_name",
|
||||
"policy": "test_policy"
|
||||
},
|
||||
{
|
||||
"filter_name": "test_filter_name2",
|
||||
"policy": "test_policy2"
|
||||
}
|
||||
]
|
||||
result = overlap_filter_config({
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy"
|
||||
}
|
||||
}, config)
|
||||
expected = {
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy",
|
||||
"config": {}
|
||||
},
|
||||
"test_filter_name2": {
|
||||
"policy": "test_policy2",
|
||||
"config": {}
|
||||
}
|
||||
}
|
||||
assert result == expected
|
||||
|
||||
|
||||
def test_process_path_priority():
|
||||
config = ["OTHER", "STOP", "CONTINUE"]
|
||||
result = process_path_priority(config)
|
||||
expected = ["STOP", "CONTINUE", "REPEAT"]
|
||||
assert result == expected
|
||||
|
||||
|
||||
@patch('orchestrator.utils.orchestrator_functions.overlap_filter_config',
|
||||
return_value={
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy",
|
||||
"config": {}
|
||||
}
|
||||
})
|
||||
@patch('orchestrator.utils.orchestrator_functions.process_path_priority',
|
||||
return_value=["STOP", "CONTINUE", "REPEAT"])
|
||||
def test_predictions_batch(mock_process_path_priority,
|
||||
mock_overlap_filter_config):
|
||||
config = {
|
||||
"schedule_name": "test_schedule",
|
||||
"workflow_type": "predictions_batch",
|
||||
"model_id": "test_model_id",
|
||||
"model_name": "test_model_name",
|
||||
"query": "test_query",
|
||||
"write_tags": [
|
||||
{
|
||||
"server_name": "test_server_name",
|
||||
"type": "prediction",
|
||||
"addr": "test_addr"
|
||||
},
|
||||
{
|
||||
"server_name": "test_server_name",
|
||||
"type": "confidence",
|
||||
"addr": "test_addr"
|
||||
}
|
||||
],
|
||||
"input_filters": [
|
||||
{
|
||||
"filter_name": "test_filter_name",
|
||||
"policy": "test_policy"
|
||||
}
|
||||
],
|
||||
"mlflow_transform_filters": [
|
||||
{
|
||||
"filter_name": "test_filter_name",
|
||||
"policy": "test_policy"
|
||||
}
|
||||
],
|
||||
"mlflow_predict_filters": [
|
||||
{
|
||||
"filter_name": "test_filter_name",
|
||||
"policy": "test_policy"
|
||||
}
|
||||
],
|
||||
"path_priority": ["STOP", "CONTINUE", "REPEAT"],
|
||||
}
|
||||
|
||||
result = predictions_batch(config)
|
||||
|
||||
mock_overlap_filter_config.assert_has_calls([
|
||||
call({
|
||||
"EMPTY_DATA": {
|
||||
"policy": "STOP",
|
||||
"config": {}
|
||||
}
|
||||
}, config['input_filters'])
|
||||
])
|
||||
mock_overlap_filter_config.assert_has_calls([
|
||||
call({
|
||||
"API_ERROR": {
|
||||
"policy": "STOP",
|
||||
"config": {}
|
||||
}
|
||||
}, config['mlflow_transform_filters'])
|
||||
])
|
||||
mock_overlap_filter_config.assert_has_calls([
|
||||
call({
|
||||
"API_ERROR": {
|
||||
"policy": "STOP",
|
||||
"config": {}
|
||||
}
|
||||
}, config['mlflow_predict_filters'])
|
||||
])
|
||||
mock_process_path_priority.assert_called_once_with(config['path_priority'])
|
||||
|
||||
expected = {
|
||||
"workflow_type": "predictions_batch",
|
||||
"schedule_name": "test_schedule",
|
||||
"frequency": "1m",
|
||||
"max_retry_policy": 1,
|
||||
"model_id": "test_model_id",
|
||||
"model_name": "test_model_name",
|
||||
"query": "test_query",
|
||||
"schema": "sientia_data",
|
||||
"table_name": "predictions",
|
||||
"retention_time": 60 * 60,
|
||||
"opc_output_config": {
|
||||
"test_server_name": {
|
||||
"prediction_tags": {
|
||||
"test_addr": {
|
||||
"data_type": "float"
|
||||
}
|
||||
},
|
||||
"confidence_tags": {
|
||||
"test_addr": {
|
||||
"data_type": "float"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"input_filters": {
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy",
|
||||
"config": {}
|
||||
}
|
||||
},
|
||||
"mlflow_transform_filters": {
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy",
|
||||
"config": {}
|
||||
}
|
||||
},
|
||||
"mlflow_predict_filters": {
|
||||
"test_filter_name": {
|
||||
"policy": "test_policy",
|
||||
"config": {}
|
||||
}
|
||||
},
|
||||
"path_priority": ["STOP", "CONTINUE", "REPEAT"]
|
||||
}
|
||||
assert result == expected
|
||||
|
||||
|
||||
def test_gather_read_tags():
|
||||
pipelines = [
|
||||
{
|
||||
"schedule_name": "test_schedule",
|
||||
"read_tags": [
|
||||
{
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"schedule_name": "test_schedule2",
|
||||
"read_tags": [
|
||||
{
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address2"
|
||||
},
|
||||
{
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address3"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
|
||||
result = gather_read_tags(pipelines)
|
||||
|
||||
expected = {
|
||||
"test_server_name:test_tag_address": {
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address",
|
||||
"topics": ["raw_test_schedule"]
|
||||
},
|
||||
"test_server_name2:test_tag_address2": {
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address2",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
},
|
||||
"test_server_name2:test_tag_address3": {
|
||||
"server_name": "test_server_name2",
|
||||
"tag_address": "test_tag_address3",
|
||||
"topics": ["raw_test_schedule2"]
|
||||
}
|
||||
}
|
||||
|
||||
assert result == expected
|
||||
|
||||
|
||||
def test_build_tag_config():
|
||||
tag = {
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address"
|
||||
}
|
||||
opc_servers = {
|
||||
"test_server_name": {
|
||||
"url": "test_url",
|
||||
"uri": "test_uri",
|
||||
"security_spec": {
|
||||
"test_name": "test_spec"
|
||||
}
|
||||
}
|
||||
}
|
||||
slot_config = {
|
||||
"1": {}
|
||||
}
|
||||
i = 1
|
||||
result = build_tag_config(tag, slot_config, opc_servers, i)
|
||||
expected = {
|
||||
"1": {
|
||||
"test_server_name": {
|
||||
"name": "test_server_name",
|
||||
"url": "test_url",
|
||||
"server_uri": "test_uri",
|
||||
"tags": {
|
||||
"test_tag_address": {
|
||||
"server_name": "test_server_name",
|
||||
"tag_address": "test_tag_address"
|
||||
}
|
||||
},
|
||||
"test_name": "test_spec"
|
||||
}
|
||||
}
|
||||
}
|
||||
assert result == expected
|
||||
@@ -79,3 +79,111 @@ async def test_run(workflow_mock, orchestrator):
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_local_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.process_schedules,
|
||||
{
|
||||
'pipelines': workflow_mock.execute_local_activity_method.return_value
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_local_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.process_slots,
|
||||
{
|
||||
'opc_servers': workflow_mock.execute_local_activity_method.return_value,
|
||||
'active_ingestors': workflow_mock.execute_local_activity_method.return_value,
|
||||
'pipelines': workflow_mock.execute_local_activity_method.return_value,
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_local_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.create_schedule_config,
|
||||
{
|
||||
'current_schedule_config': workflow_mock.execute_local_activity_method.return_value,
|
||||
'schedule_config': workflow_mock.execute_local_activity_method.return_value
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_local_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.create_slot_config,
|
||||
{
|
||||
'current_slot_config': workflow_mock.execute_local_activity_method.return_value,
|
||||
'slot_config': workflow_mock.execute_local_activity_method.return_value
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.delete_slots,
|
||||
{
|
||||
'to_delete':
|
||||
workflow_mock.execute_local_activity_method.return_value['to_delete']
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.update_slots,
|
||||
{
|
||||
'to_insert':
|
||||
workflow_mock.execute_local_activity_method.return_value['to_insert']
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.delete_schedules,
|
||||
{
|
||||
'schedules':
|
||||
workflow_mock.execute_local_activity_method.return_value['to_delete']
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.create_schedules,
|
||||
{
|
||||
'schedules':
|
||||
workflow_mock.execute_local_activity_method.return_value['to_create']
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
workflow_mock.execute_activity_method.assert_has_calls([
|
||||
call(
|
||||
Activities.update_schedules,
|
||||
{
|
||||
'schedules':
|
||||
workflow_mock.execute_local_activity_method.return_value['to_update']
|
||||
},
|
||||
retry_policy=ANY,
|
||||
start_to_close_timeout=ANY
|
||||
)
|
||||
])
|
||||
|
||||
Reference in New Issue
Block a user