Files
personal-ai-assistant/backend/app/models/message.py
dolgolyov.alexei 70469beef8 Phase 2: Chat & AI Core — Claude API streaming, chat UI, admin context
Backend:
- Chat, Message, ContextFile models + Alembic migration
- Chat CRUD with per-user limit enforcement (max_chats)
- SSE streaming endpoint: saves user message, streams Claude response,
  saves assistant message with token usage metadata
- Context assembly: primary context file + conversation history
- Admin context CRUD (GET/PUT with version tracking)
- Anthropic SDK integration with async streaming
- Chat ownership isolation (users can't access each other's chats)

Frontend:
- Chat page with sidebar chat list + main chat window
- Real-time SSE streaming via fetch + ReadableStream
- Message bubbles with Markdown rendering (react-markdown)
- Auto-growing message input (Enter to send, Shift+Enter newline)
- Zustand chat store for streaming state management
- Admin primary context editor with unsaved changes warning
- Updated routing: /chat, /chat/:chatId, /admin/context
- Enabled Chat and Admin sidebar navigation
- English + Russian translations for all new UI

Infrastructure:
- nginx: disabled proxy buffering for SSE support
- Added ANTHROPIC_API_KEY and CLAUDE_MODEL to config

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-19 12:38:30 +03:00

21 lines
714 B
Python

import uuid
from sqlalchemy import ForeignKey, String, Text
from sqlalchemy.dialects.postgresql import JSONB, UUID
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.database import Base
class Message(Base):
__tablename__ = "messages"
chat_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("chats.id", ondelete="CASCADE"), nullable=False, index=True
)
role: Mapped[str] = mapped_column(String(20), nullable=False)
content: Mapped[str] = mapped_column(Text, nullable=False)
metadata_: Mapped[dict | None] = mapped_column("metadata", JSONB, nullable=True)
chat: Mapped["Chat"] = relationship(back_populates="messages") # noqa: F821