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All 5 Python recipes and their markdown docs used a synchronous, kwargs-based API that doesn't match the real github-copilot-sdk: - client.start() -> await client.start() (all methods are async) - create_session(model=...) -> create_session(SessionConfig(model=...)) - session.send(prompt=...) -> session.send(MessageOptions(prompt=...)) - session.wait_for_idle() -> session.send_and_wait() (wait_for_idle doesn't exist) - event['type']/event['data']['content'] -> event.type/event.data.content - All code wrapped in async def main() + asyncio.run(main()) Verified all imports resolve against github-copilot-sdk.
3.4 KiB
3.4 KiB
Grouping Files by Metadata
Use Copilot to intelligently organize files in a folder based on their metadata.
Runnable example: recipe/managing_local_files.py
cd recipe && pip install -r requirements.txt python managing_local_files.py
Example scenario
You have a folder with many files and want to organize them into subfolders based on metadata like file type, creation date, size, or other attributes. Copilot can analyze the files and suggest or execute a grouping strategy.
Example code
import asyncio
import os
from copilot import (
CopilotClient, SessionConfig, MessageOptions,
SessionEvent, SessionEventType,
)
async def main():
# Create and start client
client = CopilotClient()
await client.start()
# Create session
session = await client.create_session(SessionConfig(model="gpt-5"))
done = asyncio.Event()
# Event handler
def handle_event(event: SessionEvent):
if event.type == SessionEventType.ASSISTANT_MESSAGE:
print(f"\nCopilot: {event.data.content}")
elif event.type == SessionEventType.TOOL_EXECUTION_START:
print(f" → Running: {event.data.tool_name}")
elif event.type == SessionEventType.TOOL_EXECUTION_COMPLETE:
print(f" ✓ Completed: {event.data.tool_call_id}")
elif event.type.value == "session.idle":
done.set()
session.on(handle_event)
# Ask Copilot to organize files
target_folder = os.path.expanduser("~/Downloads")
await session.send(MessageOptions(prompt=f"""
Analyze the files in "{target_folder}" and organize them into subfolders.
1. First, list all files and their metadata
2. Preview grouping by file extension
3. Create appropriate subfolders (e.g., "images", "documents", "videos")
4. Move each file to its appropriate subfolder
Please confirm before moving any files.
"""))
await done.wait()
await session.destroy()
await client.stop()
if __name__ == "__main__":
asyncio.run(main())
Grouping strategies
By file extension
# Groups files like:
# images/ -> .jpg, .png, .gif
# documents/ -> .pdf, .docx, .txt
# videos/ -> .mp4, .avi, .mov
By creation date
# Groups files like:
# 2024-01/ -> files created in January 2024
# 2024-02/ -> files created in February 2024
By file size
# Groups files like:
# tiny-under-1kb/
# small-under-1mb/
# medium-under-100mb/
# large-over-100mb/
Dry-run mode
For safety, you can ask Copilot to only preview changes:
await session.send(MessageOptions(prompt=f"""
Analyze files in "{target_folder}" and show me how you would organize them
by file type. DO NOT move any files - just show me the plan.
"""))
Custom grouping with AI analysis
Let Copilot determine the best grouping based on file content:
await session.send(MessageOptions(prompt=f"""
Look at the files in "{target_folder}" and suggest a logical organization.
Consider:
- File names and what they might contain
- File types and their typical uses
- Date patterns that might indicate projects or events
Propose folder names that are descriptive and useful.
"""))
Safety considerations
- Confirm before moving: Ask Copilot to confirm before executing moves
- Handle duplicates: Consider what happens if a file with the same name exists
- Preserve originals: Consider copying instead of moving for important files