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* feat: Add ChatKit integration with a new frontend application - Created a new frontend application using React and Vite for the ChatKit integration. - Added essential files including package.json, vite.config.ts, and Tailwind CSS configuration. - Implemented core components: App, Home, ChatKitPanel, ThemeToggle, and hooks for color scheme management. - Established SQLite-based store implementation for ChatKit data persistence in store.py. - Integrated theme toggling functionality for light and dark modes. - Set up ESLint and TypeScript configurations for better development experience. * git ignore * fix mypy * add mising file * minimal frontend for chatkit sample * update ignore files * version * set python version lowerbound on chatkit * update project settings for chatkit * update setup * update setup * update setup * update setup * weather widget * add select city widget sample * remove widget helper * update chatkit to include file attachments and cover more thread item types * update readme with mermaid diagram * update diagram * update instructions * update chatkit dependency * fix converter imports * move to demos/ * move to demos/ -- rename references * support multiple session instead of using global variable in sample * support chunk streaming * fix tests * Update python/samples/demos/chatkit-integration/store.py Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> * use local host --------- Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
122 lines
4.5 KiB
Python
122 lines
4.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""File-based AttachmentStore implementation for ChatKit.
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This module provides a simple AttachmentStore implementation that stores
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uploaded files on the local filesystem. In production, you should use
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cloud storage like S3, Azure Blob Storage, or Google Cloud Storage.
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"""
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from pathlib import Path
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from typing import Any, TYPE_CHECKING
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from chatkit.store import AttachmentStore
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from chatkit.types import Attachment, AttachmentCreateParams, FileAttachment, ImageAttachment
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from pydantic import AnyUrl
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if TYPE_CHECKING:
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from store import SQLiteStore
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class FileBasedAttachmentStore(AttachmentStore[dict[str, Any]]):
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"""File-based AttachmentStore that stores files on local disk.
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This implementation stores uploaded files in a local directory and provides
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upload URLs that point to the FastAPI upload endpoint. It supports both
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image and file attachments.
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Features:
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- Stores files in a local uploads directory
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- Generates upload URLs for two-phase upload
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- Generates preview URLs for images
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- Proper cleanup on deletion
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Note: This is for demonstration purposes. In production, use cloud storage
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with signed URLs for better security and scalability.
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"""
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def __init__(
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self,
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uploads_dir: str = "./uploads",
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base_url: str = "http://localhost:8001",
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data_store: "SQLiteStore | None" = None,
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):
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"""Initialize the file-based attachment store.
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Args:
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uploads_dir: Directory where uploaded files will be stored
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base_url: Base URL for generating upload and preview URLs
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data_store: Optional data store to persist attachment metadata
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"""
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self.uploads_dir = Path(uploads_dir)
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self.base_url = base_url.rstrip("/")
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self.data_store = data_store
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# Create uploads directory if it doesn't exist
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self.uploads_dir.mkdir(parents=True, exist_ok=True)
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def get_file_path(self, attachment_id: str) -> Path:
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"""Get the filesystem path for an attachment."""
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return self.uploads_dir / attachment_id
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async def delete_attachment(self, attachment_id: str, context: dict[str, Any]) -> None:
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"""Delete an attachment and its file from disk."""
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file_path = self.get_file_path(attachment_id)
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if file_path.exists():
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file_path.unlink()
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async def create_attachment(
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self, input: AttachmentCreateParams, context: dict[str, Any]
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) -> Attachment:
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"""Create an attachment with upload URL for two-phase upload.
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This creates the attachment metadata and returns upload URLs that
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the client will use to POST the actual file bytes.
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"""
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# Generate unique ID for this attachment
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attachment_id = self.generate_attachment_id(input.mime_type, context)
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# Generate upload URL that points to our FastAPI upload endpoint
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upload_url = f"{self.base_url}/upload/{attachment_id}"
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# Create appropriate attachment type based on MIME type
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if input.mime_type.startswith("image/"):
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# For images, also provide a preview URL
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preview_url = f"{self.base_url}/preview/{attachment_id}"
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attachment = ImageAttachment(
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id=attachment_id,
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type="image",
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mime_type=input.mime_type,
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name=input.name,
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upload_url=AnyUrl(upload_url),
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preview_url=AnyUrl(preview_url),
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)
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else:
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# For files, just provide upload URL
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attachment = FileAttachment(
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id=attachment_id,
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type="file",
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mime_type=input.mime_type,
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name=input.name,
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upload_url=AnyUrl(upload_url),
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)
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# Save attachment metadata to data store so it's available during upload
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if self.data_store is not None:
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await self.data_store.save_attachment(attachment, context)
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return attachment
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async def read_attachment_bytes(self, attachment_id: str) -> bytes:
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"""Read the raw bytes of an uploaded attachment.
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This is used by the ThreadItemConverter to create base64-encoded
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content for sending to the Agent Framework.
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"""
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file_path = self.get_file_path(attachment_id)
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if not file_path.exists():
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raise FileNotFoundError(f"Attachment {attachment_id} not found on disk")
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return file_path.read_bytes()
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