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.

.env

@@ -1,4 +0,0 @@
-# === Simulator Git Repo ===
-# Use SSH format because the Dockerfile uses SSH to clone
-SIMULATOR_GIT_REPO=git@github.com:Aignosi/sientia-dataops-opc_simulator.git
-SIMULATOR_GIT_BRANCH=main

docker-compose.yml

@@ -15,6 +15,8 @@ services:
     networks:
       - sientia-network
 
+  
+
   couchbase:
     image: couchbase/server:7.2.0
     container_name: couchbase
@@ -62,6 +64,59 @@ services:
     networks:
       - sientia-network
 
+  kafka:
+    image: bitnami/kafka:3.7 # Using a specific Kafka version for stability
+    container_name: kafka
+    ports:
+      - "9092:9092" # For clients connecting from the host machine or outside Docker network
+    environment:
+      # KRaft (Kafka Raft without Zookeeper) settings
+      KAFKA_CFG_NODE_ID: '0'
+      KAFKA_CFG_PROCESS_ROLES: 'broker,controller'
+      KAFKA_CFG_CONTROLLER_LISTENER_NAMES: 'CONTROLLER'
+      # Listeners: <PROTOCOL>://<HOST/IP>:<PORT>
+      # PLAINTEXT_EXTERNAL for host access, INTERNAL for container-to-container communication
+      KAFKA_CFG_LISTENERS: 'PLAINTEXT_EXTERNAL://0.0.0.0:9092,INTERNAL://0.0.0.0:19092,CONTROLLER://0.0.0.0:9093'
+      # Advertised Listeners: How clients (including Kafka-UI) will connect
+      KAFKA_CFG_ADVERTISED_LISTENERS: 'PLAINTEXT_EXTERNAL://localhost:9092,INTERNAL://kafka:19092'
+      KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP: 'CONTROLLER:PLAINTEXT,PLAINTEXT_EXTERNAL:PLAINTEXT,INTERNAL:PLAINTEXT'
+      KAFKA_CFG_INTER_BROKER_LISTENER_NAME: 'INTERNAL'
+      KAFKA_CFG_CONTROLLER_QUORUM_VOTERS: '0@kafka:9093' # Node 0 is at kafka:9093 for controller comms
+
+      # Single node cluster settings (important for KRaft single node)
+      KAFKA_CFG_OFFSETS_TOPIC_REPLICATION_FACTOR: '1'
+      KAFKA_CFG_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: '1'
+      KAFKA_CFG_TRANSACTION_STATE_LOG_MIN_ISR: '1'
+      KAFKA_CFG_DEFAULT_REPLICATION_FACTOR: '1' # For auto-created topics
+      KAFKA_CFG_NUM_PARTITIONS: '1' # Default partitions for auto-created topics
+
+      KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE: 'true' # Convenient for development
+    volumes:
+      - kafka_data:/bitnami/kafka # Bitnami Kafka data directory
+    networks:
+      - sientia-network
+    healthcheck:
+      # Checks if Kafka is ready by trying to list topics using the internal listener
+      test: ["CMD-SHELL", "/opt/bitnami/kafka/bin/kafka-topics.sh --bootstrap-server kafka:19092 --list > /dev/null || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+
+  kafka-ui:
+    image: provectuslabs/kafka-ui:latest
+    container_name: kafka-ui
+    ports:
+      - "8082:8080" # Kafka UI will be accessible on host's port 8082
+    environment:
+      KAFKA_CLUSTERS_0_NAME: sientia-local-kafka
+      KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: kafka:19092 # Connects to Kafka's internal listener
+      # DYNAMIC_CONFIG_ENABLED: 'true' # Optional: To allow config changes through UI
+    depends_on:
+      kafka: # Ensures Kafka starts and is healthy before Kafka UI
+        condition: service_healthy
+    networks:
+      - sientia-network
+
 
 networks:
   sientia-network:
@@ -73,4 +128,6 @@ volumes:
   couchbase_data:
     driver: local
   redis_data:
+    driver: local
+  kafka_data:
     driver: local

orchestrator/activities/activities.py

@@ -5,12 +5,13 @@ with workflow.unsafe.imports_passed_through():
     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
     from typing import Any
     from logging import Logger
     from sientia_do.notifications.handlers import NotificationHandler
 
 
-class Activities(Couchbase, TemporalManager, SlotManager):
+class Activities(Couchbase, TemporalManager, SlotManager, Formatters):
 
     def __init__(self,
                  temporal_client: Client,
@@ -39,6 +40,10 @@ class Activities(Couchbase, TemporalManager, SlotManager):
                              logger=logger,
                              notification_handler=notification_handler)
 
+        Formatters.__init__(self,
+                            logger=logger,
+                            notification_handler=notification_handler)
+
     @activity.defn(name="prepare_activity")
     async def prepare_activity(self, input_data: dict[str, Any]):
         await super().prepare_activity(input_data)

orchestrator/activities/formatters.py

@@ -1,10 +1,16 @@
+from sientia_do.notifications.models import NotificationLevel
 from temporalio import activity, workflow
 
 with workflow.unsafe.imports_passed_through():
-    from sientia_do.temporal.activities.base import BaseActivity
+    import json
     from typing import Any
     from logging import Logger
     from sientia_do.notifications.handlers import NotificationHandler
+    from sientia_do.temporal.activities.base import BaseActivity
+    from orchestrator.utils.orchestrator_functions import (
+        scouter, predictions_batch, gather_read_tags, build_tag_config
+    )
+    from math import ceil
 
 
 class Formatters(BaseActivity):
@@ -13,7 +19,22 @@ class Formatters(BaseActivity):
                               notification_handler=notification_handler)
 
     @activity.defn(name="process_schedules")
-    async def process_schedules(self, input_data: dict[str, Any]):
+    async def process_schedules(self, input_data: dict[str, Any]) -> dict[str, Any]:
+        """
+        Process schedules. Generates a schedule config dictionary
+        based on the input data workflow type.
+
+        Args:
+            - input_data (dict[str, Any]): The input data containing
+              the schedules to process.
+                - pipelines (list[dict[str, Any]]): The schedules to process.
+
+        Returns:
+            - dict[str, Any]: The schedule config dictionary
+        """
+
+        self.logger.info("Processing schedules...")
+
         pipelines = input_data['pipelines']
 
         schedule_config = {}
@@ -21,115 +42,291 @@ class Formatters(BaseActivity):
         for pipeline in pipelines:
             if pipeline['workflow_type'] == 'scouter':
                 schedule_config[pipeline['schedule_name']] = scouter(pipeline)
+            elif pipeline['workflow_type'] == 'predictions_batch':
+                schedule_config[pipeline['schedule_name']
+                                ] = predictions_batch(pipeline)
 
         return schedule_config
 
+    @activity.defn(name="process_slots")
+    async def process_slots(self, input_data: dict[str, Any]) -> dict[str, Any]:
+        """
+        Extracts all read tags from input pipelines, divides them into slots and
+        returns a slot config dictionary. If no ingestor is available, only one slot
+        is created.
 
-def common_config(config: dict[str, Any]):
+        Args:
-    return {
+            - input_data (dict[str, Any]): The input data containing
-        "workflow_type": "scouter",
+              the schedules to process.
-        "schedule_name": config['schedule_name'],
+                - pipelines (list[dict[str, Any]]): The schedules to process.
-        "frequency": config.get('frequency', '1m'),
+                - opc_servers (list[str]): The OPC servers to create ingestor config.
-        "max_retry_policy": config.get('max_retry_policy', 1),
+                - active_ingestors (list[str]): The active ingestors to divide into slots.
 
-        "model_id": config['model_id'],
+        Returns:
-        "model_name": config['model_name'],
+            - dict[str, Any]: The slot config dictionary
-    }
+        """
 
+        self.logger.info("Processing slots...")
 
-def scouter(config: dict[str, Any]):
+        pipelines = input_data['pipelines']
-    filters = {}
+        opc_servers_list = input_data['opc_servers']
-    for f in config['filters']:
+        active_ingestors = input_data['active_ingestors']
-        filters[f['filter_name']] = {
+
-            "policy": f['policy']
+        opc_servers = {}
+        for server in opc_servers_list:
+            opc_servers[server['server_name']] = {
+                **server,
+            }
+
+        tags = list(gather_read_tags(pipelines).values())
+
+        number_of_tags = len(tags)
+        number_of_slots = len(active_ingestors) if active_ingestors else 1
+        tags_per_slot = ceil(number_of_tags / number_of_slots)
+
+        slot_config = {}
+        last_index = 0
+
+        for i in range(1, number_of_slots):
+            slot_config[f"{i}"] = {}
+            for tag in tags[last_index:last_index + tags_per_slot]:
+                slot_config = build_tag_config(
+                    tag, slot_config.copy(), opc_servers, i)
+            last_index += tags_per_slot
+
+        slot_config[f"{number_of_slots}"] = {}
+        for tag in tags[last_index:]:
+            slot_config = build_tag_config(
+                tag, slot_config.copy(), opc_servers, number_of_slots)
+
+        return slot_config
+
+    @activity.defn(name="create_schedule_config")
+    async def create_schedule_config(self,
+                                     input_data: dict[str, Any]) -> dict[str, Any]:
+        """
+        Creates a schedule config dictionary based on the input data.
+        Checks the existing schedule config and updates it with the new schedule config,
+        deleting unnecessary schedules, creating new schedules and updating existing schedules.
+
+        Args:
+            - input_data (dict[str, Any]): The input data containing
+              the schedules to process.
+                - current_schedule_config (dict[str, Any]): The current schedule
+                config in Temporal server.
+                - schedule_config (dict[str, Any]): The schedule config to process.
+
+        Returns:
+            - dict[str, Any]: The schedule config dictionary
+        """
+
+        self.logger.info("Creating schedule config...")
+
+        current_schedule_config = input_data['current_schedule_config']
+        schedule_config = input_data['schedule_config']
+
+        to_update = {}
+        to_create = {}
+        to_delete = []
+
+        for schedule_name, schedule in schedule_config.items():
+            if schedule_name in current_schedule_config:
+                if schedule != current_schedule_config[schedule_name]['data']:
+                    to_update[schedule_name] = schedule
+
+            elif schedule_name not in current_schedule_config:
+                to_create[schedule_name] = schedule
+
+        for schedule_name in current_schedule_config:
+            if schedule_name not in schedule_config:
+                to_delete.append(schedule_name)
+
+        return {
+            "to_update": to_update,
+            "to_create": to_create,
+            "to_delete": to_delete
         }
 
-    tags = {}
+    @activity.defn(name="create_slot_config")
-    for tag in config['read_tags']:
+    async def create_slot_config(self,
-        tags[tag['tag_name']] = {
+                                 input_data: dict[str, Any]) -> dict[str, Any]:
-            "aggr_func": tag.get('aggr_func', 'lts'),
+        """
-            "data_range": tag.get('data_range', [-100, 100])
+        Creates a slot config dictionary based on the input data.
+        Checks the existing slot config and updates it with the new slot config,
+        deleting unnecessary slots.
+
+        Args:
+            - input_data (dict[str, Any]): The input data containing
+              the slots to process.
+                - current_slot_config (dict[str, Any]): The current slot
+                config in Temporal server.
+                - slot_config (dict[str, Any]): The slot config to process.
+
+        Returns:
+            - dict[str, Any]: The slot config dictionary
+        """
+
+        self.logger.info("Creating slot config...")
+
+        current_slot_config = input_data['current_slot_config']
+        slot_config = input_data['slot_config']
+        to_delete = []
+
+        number_of_current_slots = len(current_slot_config)
+        number_of_slots = len(slot_config)
+
+        if number_of_current_slots > number_of_slots:
+            to_delete = [str(i) for i in range(
+                number_of_slots + 1, number_of_current_slots + 1)]
+
+        return {
+            "to_delete": to_delete,
+            "to_insert": slot_config
         }
 
-    return {
+    def send_success_report(self, message: str, notification_id: str) -> None:
-        **common_config(config),
+        self.notification_handler.build_and_send_notification(
+            notification_id,
+            message,
+            "report_orchestration",
+            NotificationLevel.INFO
+        )
 
-        "topic": f"raw_{config['schedule_name']}",
+    def send_error_report(self, message: str, notification_id: str,
-        "trigger_laborious": False,
+                          attachment: dict[str, Any]) -> None:
-        "filters": filters,
+        self.notification_handler.build_and_send_notification(
-        "schema": "sientia_data",
+            notification_id,
-        "table_name": "laborious_data",
+            message,
-        "retention_time": config.get('tag_retention_minutes', 60) * 60,
+            "report_orchestration",
-        "model_tags": tags
+            NotificationLevel.ERROR,
-    }
+            attachment_content=json.dumps(attachment, indent=4, sort_keys=True)
+        )
 
+    def parse_report(self, input_data: dict[str, Any]) -> tuple[list[str], list[str]]:
+        success_keys = [key for key, value
+                        in input_data.items() if value['success']]
 
-def overlap_filter_config(base_filter_config: dict[str, Any], config: dict[str, Any]):
+        error_keys = [key for key, value
-    for fil in config['filters']:
+                      in input_data.items() if not value['success']]
-        base_filter_config[fil['filter_name']] = {
-            "policy": fil['policy'],
-            "config": fil.get('config', {})
-        }
 
-    return base_filter_config
+        return success_keys, error_keys
 
+    @activity.defn(name="report_schedule_orchestration")
+    async def report_schedule_orchestration(self,
+                                            input_data: dict[str, Any]) -> None:
+        """
+        Reports the orchestration result to the notification handler.
 
-def process_path_priority(path_priority: list[str]):
+        Args:
-    for priority in path_priority[:]:
+            - input_data (dict[str, Any]): The input data containing
-        if priority not in ["STOP", "CONTINUE", "REPEAT"]:
+              the orchestration result.
-            path_priority.remove(priority)
+                - 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:
+        self.logger.info("Reporting orchestration...")
-        for priority in ["STOP", "CONTINUE", "REPEAT"]:
-            if priority not in path_priority:
-                path_priority.append(priority)
 
-    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]):
+            if len(success_keys) > 0:
-    tags = {}
+                self.send_success_report(
-    for tag in config['write_tags']:
+                    f"Created schedules: \n {', '.join(success_keys)}",
-        if tag['server_name'] not in tags:
+                    "REPORT_ORCHESTRATION_CREATED_SCHEDULES"
-            tags[tag['server_name']] = {}
+                )
 
-        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':
+        # Send report for updated schedules
-            tag_type_str = f"{tag_type}_tags"
+        if len(updated_schedules) > 0:
+            success_keys, error_keys = self.parse_report(updated_schedules)
 
-            if tag_type_str not in tags[tag['server_name']]:
+            if len(success_keys) > 0:
-                tags[tag['server_name']][tag_type_str] = {}
+                self.send_success_report(
+                    f"Updated schedules: \n {', '.join(success_keys)}",
+                    "REPORT_ORCHESTRATION_UPDATED_SCHEDULES"
+                )
 
-            tags[tag['server_name']][tag_type_str][tag['addr']] = {
+            if len(error_keys) > 0:
-                "data_type": tag.get('data_type', 'float'),
+                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(
+        if len(deleted_schedules) > 0:
-        'path_priority', ["STOP", "CONTINUE", "REPEAT"]))
+            success_keys, error_keys = self.parse_report(deleted_schedules)
 
-    return {
+            if len(success_keys) > 0:
-        **common_config(config),
+                self.send_success_report(
+                    f"Deleted schedules: \n {', '.join(success_keys)}",
+                    "REPORT_ORCHESTRATION_DELETED_SCHEDULES"
+                )
 
-        "query": config['query'],
+            if len(error_keys) > 0:
-        "schema": "sientia_data",
+                self.send_error_report(
-        "table_name": "predictions",
+                    f"Failed to delete schedules: \n {', '.join(error_keys)}",
-        "retention_time": config.get('model_retention_minutes', 60) * 60,
+                    "REPORT_ORCHESTRATION_DELETED_SCHEDULES",
-        "opc_output_config": tags,
+                    deleted_schedules
-        "input_filters": overlap_filter_config({
+                )
-            "EMPTY_DATA": {
+
-                "policy": "STOP"
+    @activity.defn(name="report_slot_orchestration")
-            }
+    async def report_slot_orchestration(self,
-        }, config['input_filters']),
+                                        input_data: dict[str, Any]) -> None:
-        "mlflow_transform_filters": overlap_filter_config({
+        """
-            "API_ERROR": {
+        Reports the orchestration result to the notification handler.
-                "policy": "STOP"
+
-            }
+        Args:
-        }, config['mlflow_transform_filters']),
+            - input_data (dict[str, Any]): The input data containing
-        "mlflow_predict_filters": overlap_filter_config({
+              the orchestration result.
-            "API_ERROR": {
+                - inserted_slots (dict[str, Any]): The inserted slots.
-                "policy": "STOP"
+                - deleted_slots (list[str]): The deleted slots.
-            }
+        """
-        }, config['mlflow_predict_filters']),
+
-        "path_priority": path_priority
+        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
+                )

orchestrator/activities/slot_manager.py

@@ -32,23 +32,20 @@ class SlotManager(Redis):
 
         slot_keys = self.redis_client.keys("slot:opc_tags:*")
 
-        if slot_keys:
+        self.logger.debug("Slot keys: %s", slot_keys)
-            decoded_keys = [key.decode('utf-8') for key in slot_keys]
-            values = self.redis_client.mget(decoded_keys)
 
-            for i, key in enumerate(decoded_keys):
+        if slot_keys:
-                value = values[i]
+            if isinstance(slot_keys[0], bytes):
-                if value is not None:
+                decoded_keys = [key.decode('utf-8') for key in slot_keys]
-                    try:
+            else:
-                        opc_slots[key] = value.decode('utf-8')
+                decoded_keys = slot_keys
-                    except (UnicodeDecodeError, AttributeError):
+
-                        opc_slots[key] = value
+            for key in decoded_keys:
-                else:
+                opc_slots[key] = self.get(key)
-                    opc_slots[key] = None
 
         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

orchestrator/activities/temporal_manager.py

@@ -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

orchestrator/utils/connectors_config.py

@@ -1,42 +1,18 @@
 from os import getenv
-import json
 
 
-def build_postgres_config():
+def build_redis_config():
     return {
-        'host': getenv('POSTGRES_HOST', 'localhost'),
+        'host': getenv('REDIS_HOST', 'localhost'),
-        'port': int(getenv('POSTGRES_PORT', '5432')),
+        'port': int(getenv('REDIS_PORT', '6379')),
-        'user': getenv('POSTGRES_USER', 'sientia'),
+        'username': getenv('REDIS_USERNAME', None),
-        'password': getenv('POSTGRES_PASSWORD', 'sientia'),
+        'password': getenv('REDIS_PASSWORD', None)
-        'dbname': getenv('POSTGRES_DBNAME', 'sientia'),
-        'min_connections': int(getenv('POSTGRES_MIN_CONNECTIONS', '5')),
-        'max_connections': int(getenv('POSTGRES_MAX_CONNECTIONS', '20'))
     }
 
 
-def build_mlflow_config():
+def build_couchbase_config():
     return {
-        'host': getenv('MLFLOW_HOST', 'http://localhost'),
+        'connection_string': getenv('COUCHBASE_CONNECTION_STRING', 'couchbase://localhost'),
-        'port': int(getenv('MLFLOW_PORT', '5080')),
+        'username': getenv('COUCHBASE_USERNAME', 'sientia'),
-        'username': getenv('MLFLOW_USERNAME', 'aignosi'),
+        'password': getenv('COUCHBASE_PASSWORD', 'sientia')
-        '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'))
-        }
     }

orchestrator/utils/converters.py

@@ -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")

orchestrator/utils/orchestrator_functions.py

@@ -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

orchestrator/worker/worker.py

@@ -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 orchestrator.workflows.orchestrator import Orchestrator
-    from laborious.workflows.sub_workflows.prediction_process import PredictionProcess
+    from orchestrator.activities.activities import Activities
-    from laborious.workflows.sub_workflows.format_and_export_prediction import \
+    from orchestrator.utils.connectors_config import (
-        FormatAndExportPrediction
+        build_couchbase_config,
-    from laborious.activities.activities import Activities
+        build_redis_config,
-    from laborious.utils.logger import get_logger
-    from laborious.utils.connectors_config import (
-        build_postgres_config,
-        build_mlflow_config,
-        build_opc_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'),
+        project_name=os.getenv('PROJECT_NAME', 'orchestrator'),
-        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
     )
 
     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',
+            task_queue='orchestrator-queue',
-            workflows=[PredictionsBatch, PredictionProcess,
+            workflows=[Orchestrator],
-                       FormatAndExportPrediction],
             activities=[
                 # Base
                 activities.prepare_activity,
-                # MLFlow
+                # Redis
-                activities.request_predict,
+                activities.load_active_ingestors,
-                activities.request_transform,
+                activities.load_opc_slots,
-                # Gates
+                activities.update_slots,
-                activities.input_gate,
+                activities.delete_slots,
-                activities.mlflow_response_gate,
+                # Couchbase
-                activities.mlflow_content_gate,
+                activities.load_query_from_couchbase,
-                activities.format_prediction,
+                # Temporal
-                activities.format_default_prediction,
+                activities.load_schedule,
-                activities.get_last_timestamp,
+                activities.create_schedules,
-                # OPC
+                activities.update_schedules,
-                activities.write_opc_data,
+                activities.delete_schedules,
-                # Postgres
+                # Formatters
-                activities.load_custom_query,
+                activities.process_schedules,
-                activities.repeat_last_prediction,
+                activities.process_slots,
-                activities.export_data_to_postgres
+                activities.create_schedule_config,
+                activities.create_slot_config,
+                activities.report_schedule_orchestration,
+                activities.report_slot_orchestration,
             ]
         )
     ]

orchestrator/workflows/orchestrator.py

@@ -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

test.ipynb

@@ -136,19 +136,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 2,
    "id": "bb750ae6",
    "metadata": {},
    "outputs": [
     {
-     "data": {
+     "ename": "ScheduleAlreadyRunningError",
-      "text/plain": [
+     "evalue": "Schedule already running",
-       "<temporalio.client.ScheduleHandle at 0x76f314e5df90>"
+     "output_type": "error",
-      ]
+     "traceback": [
-     },
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-     "execution_count": 81,
+      "\u001b[31mRPCError\u001b[39m                                  Traceback (most recent call last)",
-     "metadata": {},
+      "\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",
-     "output_type": "execute_result"
+      "\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",
+      "Found %d orchestrated schedules 5\n",
-      "search_attributes {\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"
-      "  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"
      ]
     }
    ],
    "source": [
-    "schedules = await manager.load_schedule({})"
+    "schedules = await manager.load_schedule()"
    ]
   },
   {

tests/orchestrator/activities/test_activities.py

@@ -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')

tests/orchestrator/activities/test_formatters.py

@@ -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']
+        )
+    ])

tests/orchestrator/activities/test_slot_manager.py

@@ -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"
+        }
+    }

tests/orchestrator/activities/test_temporal_manager.py

@@ -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"},
+            "data": {"test": "test"}
-            "handle": temporal_manager.temporal_client.get_schedule.return_value
+        }
+    }
+
+
+@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"
         }
     }

tests/orchestrator/utils/test_orchestrator_functions.py

@@ -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

tests/orchestrator/workflows/test_orchestrator.py

@@ -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
+        )
+    ])