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https://github.com/temporal-community/temporal-ai-agent.git
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Enhance Dev Experience and Code Quality (#41)
* Format codebase to satisfy linters * fixing pylance and ruff-checked files * contributing md, and type and formatting fixes * setup file capitalization * test fix
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@@ -1,12 +1,12 @@
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import asyncio
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from shared.config import get_temporal_client
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from workflows.agent_goal_workflow import AgentGoalWorkflow
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async def main():
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# Create client connected to server at the given address
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client = await Client.connect("localhost:7233")
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client = await get_temporal_client()
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workflow_id = "agent-workflow"
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@@ -1,6 +1,7 @@
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from tools.search_flights import search_flights
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import json
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from tools.search_flights import search_flights
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# Example usage
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if __name__ == "__main__":
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search_args = {"city": "Sydney", "month": "July"}
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@@ -1,6 +1,7 @@
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from tools.search_flights import search_flights
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import json
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from tools.search_flights import search_flights
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if __name__ == "__main__":
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# Suppose user typed "new" for New York, "lon" for London
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flights = search_flights("London", "JFK", "2025-01-15", "2025-01-23")
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@@ -1,12 +1,10 @@
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import asyncio
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import concurrent.futures
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from temporalio.worker import Worker
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from activities.tool_activities import dynamic_tool_activity
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from shared.config import get_temporal_client, TEMPORAL_LEGACY_TASK_QUEUE
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from shared.config import TEMPORAL_LEGACY_TASK_QUEUE, get_temporal_client
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async def main():
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@@ -24,7 +22,9 @@ async def main():
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activity_executor=activity_executor,
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)
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print(f"Starting legacy worker, connecting to task queue: {TEMPORAL_LEGACY_TASK_QUEUE}")
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print(
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f"Starting legacy worker, connecting to task queue: {TEMPORAL_LEGACY_TASK_QUEUE}"
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)
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await worker.run()
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@@ -1,16 +1,15 @@
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import asyncio
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import concurrent.futures
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import os
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from dotenv import load_dotenv
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import logging
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import os
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from dotenv import load_dotenv
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from temporalio.worker import Worker
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from activities.tool_activities import ToolActivities, dynamic_tool_activity
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from shared.config import TEMPORAL_TASK_QUEUE, get_temporal_client
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from workflows.agent_goal_workflow import AgentGoalWorkflow
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from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE
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async def main():
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# Load environment variables
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@@ -5,7 +5,6 @@ from shared.config import get_temporal_client
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async def main():
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# Connect to Temporal and signal the workflow
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client = await get_temporal_client()
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