Backend: - FastAPI WebSocket /ws endpoint with streaming via LangGraph astream - LangGraph Supervisor connecting 3 mock agents (order_lookup, order_actions, fallback) - YAML Agent Registry with Pydantic validation and immutable configs - PostgresSaver checkpoint persistence via langgraph-checkpoint-postgres - Session TTL with 30-min sliding window and interrupt extension - LLM provider abstraction (Anthropic/OpenAI/Google) - Token usage + cost tracking callback handler - Input validation: message size cap, thread_id format, content length - Security: no hardcoded defaults, startup API key validation, no input reflection Frontend: - React 19 + TypeScript + Vite chat UI - WebSocket hook with reconnect + exponential backoff - Streaming token display with agent attribution - Interrupt approval/reject UI for write operations - Collapsible tool call viewer Testing: - 87 unit tests, 87% coverage (exceeds 80% requirement) - Ruff lint + format clean Infrastructure: - Docker Compose (PostgreSQL 16 + backend) - pyproject.toml with full dependency management
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
"""Tests for app.graph module."""
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from __future__ import annotations
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from typing import TYPE_CHECKING
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from app.graph import SUPERVISOR_PROMPT, build_agent_nodes, build_graph
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if TYPE_CHECKING:
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from app.registry import AgentRegistry
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@pytest.mark.unit
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class TestBuildAgentNodes:
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def test_creates_correct_number_of_nodes(self, sample_registry: AgentRegistry) -> None:
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mock_llm = MagicMock()
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nodes = build_agent_nodes(sample_registry, mock_llm)
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assert len(nodes) == 3
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def test_nodes_are_runnable(self, sample_registry: AgentRegistry) -> None:
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mock_llm = MagicMock()
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nodes = build_agent_nodes(sample_registry, mock_llm)
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for node in nodes:
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assert hasattr(node, "invoke") or hasattr(node, "ainvoke")
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@pytest.mark.unit
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class TestBuildGraph:
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def test_graph_compiles_with_mock_checkpointer(self, sample_registry: AgentRegistry) -> None:
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mock_llm = MagicMock()
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mock_llm.bind_tools = MagicMock(return_value=mock_llm)
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mock_llm.with_structured_output = MagicMock(return_value=mock_llm)
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mock_checkpointer = AsyncMock()
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graph = build_graph(sample_registry, mock_llm, mock_checkpointer)
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assert graph is not None
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def test_supervisor_prompt_contains_routing_info(self) -> None:
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assert "order_lookup" in SUPERVISOR_PROMPT
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assert "order_actions" in SUPERVISOR_PROMPT
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assert "fallback" in SUPERVISOR_PROMPT
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