busya
f87ebf5d4b
- Gradio 5.50.0 ChatInterface with type='messages' streaming - LangGraph create_react_agent with InMemorySaver checkpointer - 4 @tool functions: search_dashboards, get_health_summary, list_environments, get_task_status - Structured ChatMessage metadata (7 discriminator types: stream_token, tool_start/end/error, confirm_required, confirm_resolved, error) - HITL resume via second submit() with interrupt_before/Command - Dual-identity RBAC: service JWT + user JWT for tool calls - File upload (10 MB limit, pdfplumber/xlsx/JSON parser) - Conversation persistence via POST /api/agent/conversations/save - REST API: list, history, archive conversations; multi-tab gate; LLM config - LLM provider selection via Admin -> LLM Settings (assistant_planner_provider) - Svelte 5 AgentChatModel with stream event queue, dedup, stream_status watcher - MarkdownRenderer using svelte-markdown with semantic Tailwind tokens - ToolCallCard (3 states: executing/completed/failed) - ConversationList with search, date grouping, infinite scroll - ConnectionIndicator with Gradio health status - /agent route with two-column layout - Vite proxy /api/agent/gradio -> Gradio SSE - Fixed: not_() SQLAlchemy operator, route collision with _admin_routes - Fixed: conversation_id -> id normalization, .pyc cache staleness - Fixed: event.data array parsing (Gradio returns [jsonStr, null]) - Requirements pinned: gradio==5.50.0, pydantic>=2.7,<=2.12.3
76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
# #region Alembic.AddAgentConversations [C:2] [TYPE Function] [SEMANTICS alembic,migration,agent]
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# @BRIEF Add agent_conversations and agent_messages tables for Gradio Agent Chat.
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# @RELATION DEPENDS_ON -> [Models.Agent]
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"""add agent conversations
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Revision ID: f2b3c4d5e6f7
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Revises: f0e9d8c7b6a5
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Create Date: 2026-06-09 13:30:00.000000
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision: str = "f2b3c4d5e6f7"
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down_revision: Union[str, None] = "f0e9d8c7b6a5"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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# ### commands auto generated by Alembic - please adjust! ###
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op.create_table(
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"agent_conversations",
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sa.Column("id", sa.String(), nullable=False),
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sa.Column("user_id", sa.String(), nullable=False),
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sa.Column("title", sa.String(256), nullable=False, server_default="New Conversation"),
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sa.Column("is_archived", sa.Boolean(), nullable=False, server_default=sa.text("false")),
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sa.Column("created_at", sa.DateTime(), server_default=sa.func.now()),
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sa.Column("updated_at", sa.DateTime(), server_default=sa.func.now()),
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sa.PrimaryKeyConstraint("id"),
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)
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op.create_index(
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op.f("ix_agent_conversations_user_id"),
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"agent_conversations",
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["user_id"],
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unique=False,
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)
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op.create_table(
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"agent_messages",
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sa.Column("id", sa.String(), nullable=False),
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sa.Column(
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"conversation_id",
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sa.String(),
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sa.ForeignKey("agent_conversations.id"),
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nullable=False,
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),
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sa.Column("role", sa.String(16), nullable=False),
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sa.Column("text", sa.Text(), nullable=True),
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sa.Column("state", sa.String(32), nullable=True),
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sa.Column("tool_calls", sa.JSON(), nullable=True),
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sa.Column("attachments", sa.JSON(), nullable=True),
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sa.Column("created_at", sa.DateTime(), server_default=sa.func.now()),
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sa.PrimaryKeyConstraint("id"),
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)
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op.create_index(
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op.f("ix_agent_messages_conversation_id"),
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"agent_messages",
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["conversation_id"],
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unique=False,
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)
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# ### end Alembic commands ###
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def downgrade() -> None:
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# ### commands auto generated by Alembic - please adjust! ###
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op.drop_index(op.f("ix_agent_messages_conversation_id"), table_name="agent_messages")
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op.drop_table("agent_messages")
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op.drop_index(op.f("ix_agent_conversations_user_id"), table_name="agent_conversations")
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op.drop_table("agent_conversations")
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# ### end Alembic commands ###
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# #endregion Alembic.AddAgentConversations
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