forked from HAL9000/cleveragents-core
690 lines
25 KiB
Python
690 lines
25 KiB
Python
"""Behave steps for PlanGenerationGraph uncovered lines coverage."""
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from __future__ import annotations
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import asyncio
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import tempfile
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from pathlib import Path
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from typing import Any
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from unittest.mock import Mock
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from behave import given, then, when
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from cleveragents.domain.models.core import Context
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# Custom LLM testing steps
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@given("I have a mock custom LLM instance")
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def step_have_mock_custom_llm(context: Any) -> None:
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"""Create a mock custom LLM."""
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from langchain_community.llms import FakeListLLM
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context.custom_llm = FakeListLLM(
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responses=[
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"Custom LLM response for analysis",
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"Custom LLM response for generation",
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"Custom LLM response for validation",
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]
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)
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@when("I create a langgraph PlanGenerationGraph with the custom LLM")
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def step_create_graph_with_custom_llm(context: Any) -> None:
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"""Create graph with custom LLM."""
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from cleveragents.agents.plan_generation import PlanGenerationGraph
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context.graph = PlanGenerationGraph(llm=context.custom_llm)
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@then("the langgraph graph should use the custom LLM")
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def step_graph_uses_custom_llm(context: Any) -> None:
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"""Verify graph uses custom LLM."""
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assert context.graph.llm is context.custom_llm
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@then("the langgraph graph should not use FakeListLLM")
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def step_graph_not_default_fake_llm(context: Any) -> None:
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"""Verify not using default FakeListLLM (line 90 else branch)."""
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# The custom LLM is actually a FakeListLLM, but it's not the default one
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# This verifies the else branch at line 90
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assert context.graph.llm is context.custom_llm
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# Chain without retry support
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@when("I wrap a langgraph chain without retry support")
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def step_wrap_chain_without_retry(context: Any) -> None:
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"""Wrap a chain that lacks with_retry and ensure passthrough."""
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class SimpleChain:
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"""Minimal chain without retry helpers."""
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context.simple_chain = SimpleChain()
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context.wrapped_chain = context.graph._chain_with_retry(context.simple_chain)
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@then("the langgraph chain wrapper should return the original chain")
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def step_chain_wrapper_returns_original(context: Any) -> None:
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"""Verify _chain_with_retry returns chain unchanged when no retry available."""
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assert context.wrapped_chain is context.simple_chain
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# Failing LLM for exception testing
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@given("I have a langgraph PlanGenerationGraph instance with failing LLM")
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def step_have_graph_with_failing_llm(context: Any) -> None:
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"""Create graph with LLM that raises exceptions."""
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failing_llm = Mock()
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failing_llm.invoke.side_effect = Exception("LLM failed")
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from cleveragents.agents.plan_generation import PlanGenerationGraph
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context.graph = PlanGenerationGraph(llm=failing_llm)
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@given("I have a langgraph PlanGenerationState with prompt and contexts")
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def step_have_state_with_prompt_and_contexts(context: Any) -> None:
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"""Create state with prompt and contexts."""
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from pathlib import Path
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from cleveragents.domain.models.core import Plan, Project
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context.state = {
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"project": Project(id=1, name="test", path=Path("/tmp/test")),
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"plan": Plan(id=1, project_id=1, name="plan", prompt="test prompt"),
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"contexts": [Context(plan_id=1, path="test.py", content="# test")],
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"prompt": "test prompt",
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}
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@when("I execute the langgraph analyze_requirements node with the failing state")
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def step_execute_analyze_with_failing_llm(context: Any) -> None:
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"""Execute analyze_requirements with failing LLM."""
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result = context.graph._analyze_requirements(context.state)
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context.node_result = result
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@then("the uncovered analyzed_requirements should be empty")
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def step_uncovered_analyzed_requirements_empty(context: Any) -> None:
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"""Verify analyzed_requirements is empty dict."""
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analyzed = context.node_result.get("analyzed_requirements", {})
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assert isinstance(analyzed, dict)
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assert len(analyzed) == 0
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# Generate plan with different prompts
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@given('I have a langgraph state with prompt "{prompt_text}"')
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def step_have_state_with_prompt(context: Any, prompt_text: str) -> None:
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"""Create state with specific prompt."""
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from pathlib import Path
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from cleveragents.domain.models.core import Plan, Project
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context.state = {
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"project": Project(id=1, name="test", path=Path("/tmp/test")),
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"plan": Plan(id=1, project_id=1, name="plan", prompt=prompt_text),
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"contexts": [],
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"prompt": prompt_text,
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"analyzed_requirements": {"key_features": ["test feature"]},
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}
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@given("I have a langgraph state with explicit path to an existing file")
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def step_state_with_explicit_file(context: Any) -> None:
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"""Create state targeting an existing file path from the prompt."""
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from cleveragents.domain.models.core import Plan, Project
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with tempfile.NamedTemporaryFile(delete=False, suffix=".py") as tmp_file:
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tmp_file.write(b"print('existing content')\n")
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explicit_path = tmp_file.name
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context.explicit_file_path = explicit_path
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context.state = {
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"project": Project(id=1, name="test", path=Path(explicit_path).parent),
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"plan": Plan(
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id=1,
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project_id=1,
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name="plan",
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prompt=f"update @{explicit_path}",
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),
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"contexts": [],
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"prompt": f"update @{explicit_path}",
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"analyzed_requirements": {
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"description": "use explicit path",
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"operation": "create",
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},
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}
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@given("I have a langgraph state with explicit directory path")
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def step_state_with_explicit_directory(context: Any) -> None:
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"""Create state targeting a directory path hint."""
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from cleveragents.domain.models.core import Plan, Project
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explicit_dir = tempfile.mkdtemp()
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context.explicit_dir_path = explicit_dir
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context.state = {
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"project": Project(id=1, name="test", path=Path(explicit_dir)),
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"plan": Plan(
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id=1,
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project_id=1,
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name="plan",
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prompt=f"generate @{explicit_dir}",
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),
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"contexts": [],
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"prompt": f"generate @{explicit_dir}",
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"analyzed_requirements": {
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"description": "generate inside directory",
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"operation": "create",
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},
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}
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@given("I have a langgraph state with explicit path without a suffix")
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def step_state_with_unsuffixed_path(context: Any) -> None:
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"""Create state for a hinted path lacking a suffix."""
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from cleveragents.domain.models.core import Plan, Project
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base_dir = tempfile.mkdtemp()
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hint_path = Path(base_dir) / "no_extension_path"
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context.unsuffixed_path = hint_path
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context.state = {
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"project": Project(id=1, name="test", path=Path(base_dir)),
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"plan": Plan(
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id=1,
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project_id=1,
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name="plan",
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prompt=f"generate @{hint_path}",
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),
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"contexts": [],
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"prompt": f"generate @{hint_path}",
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"analyzed_requirements": {
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"description": "generate unsuffixed path",
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"operation": "create",
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},
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}
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@given("I have a langgraph state with contexts and an explicit path hint")
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def step_state_with_context_hint(context: Any) -> None:
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"""Create state with contexts and an explicit path hint for modification."""
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from cleveragents.domain.models.core import Plan, Project
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hinted_path = "src/components/button.py"
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context.hinted_context_path = hinted_path
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context.state = {
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"project": Project(id=1, name="test", path=Path("/tmp/test")),
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"plan": Plan(
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id=1,
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project_id=1,
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name="plan",
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prompt=f"modify @{Path(hinted_path).name}",
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),
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"contexts": [
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Context(
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plan_id=1,
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path=hinted_path,
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content="def old_button():\n return 'old'\n",
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)
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],
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"prompt": f"modify @{Path(hinted_path).name}",
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"analyzed_requirements": {
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"description": "modify hinted context",
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"operation": "modify",
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"files_to_modify": [hinted_path],
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},
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}
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@when("I execute the langgraph generate_plan node with explicit path")
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def step_execute_generate_with_explicit_path(context: Any) -> None:
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"""Execute generate_plan for states with explicit path hints."""
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result = context.graph._generate_plan(context.state)
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context.node_result = result
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@then("the langgraph generated file path should match the explicit file")
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def step_generated_path_matches_explicit(context: Any) -> None:
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"""Verify generated change targets the explicit file path."""
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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assert changes[0].file_path == context.explicit_file_path
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@then("the langgraph change should include original file content")
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def step_change_includes_original_file(context: Any) -> None:
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"""Verify original_content was loaded from the existing file."""
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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assert changes[0].original_content is not None
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assert "existing content" in changes[0].original_content
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@then("the langgraph generated file path should be under the explicit directory")
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def step_generated_path_under_directory(context: Any) -> None:
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"""Verify generated file was placed under hinted directory."""
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from cleveragents.domain.models.core.change import OperationType
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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expected_path = str(Path(context.explicit_dir_path) / "generated.py")
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assert changes[0].file_path == expected_path
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assert changes[0].operation == OperationType.CREATE
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@then("the langgraph generated file path should append generated.py")
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def step_generated_path_appends_generated(context: Any) -> None:
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"""Verify unsuffixed hints append generated.py to path."""
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from cleveragents.domain.models.core.change import OperationType
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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expected_path = str(context.unsuffixed_path / "generated.py")
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assert changes[0].file_path == expected_path
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assert changes[0].operation == OperationType.CREATE
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@then("the langgraph generated change should use the matching context path")
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def step_generated_change_uses_context_path(context: Any) -> None:
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"""Verify explicit hints select matching context path."""
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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assert changes[0].file_path == context.hinted_context_path
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@when("I execute the langgraph generate_plan node with test prompt")
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def step_execute_generate_with_test_prompt(context: Any) -> None:
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"""Execute generate_plan with test prompt."""
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result = context.graph._generate_plan(context.state)
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context.node_result = result
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@when("I execute the langgraph generate_plan node with error prompt")
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def step_execute_generate_with_error_prompt(context: Any) -> None:
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"""Execute generate_plan with error prompt."""
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result = context.graph._generate_plan(context.state)
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context.node_result = result
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@when("I execute the langgraph generate_plan node with exception prompt")
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def step_execute_generate_with_exception_prompt(context: Any) -> None:
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"""Execute generate_plan with exception prompt."""
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result = context.graph._generate_plan(context.state)
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context.node_result = result
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@when("I execute the langgraph generate_plan node with generic prompt")
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def step_execute_generate_with_generic_prompt(context: Any) -> None:
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"""Execute generate_plan with generic prompt."""
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result = context.graph._generate_plan(context.state)
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context.node_result = result
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@then('the langgraph generated file path should be "{expected_path}"')
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def step_generated_file_path_is(context: Any, expected_path: str) -> None:
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"""Verify generated file path."""
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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# Change is a Pydantic model, access attributes directly
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assert changes[0].file_path == expected_path
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@then("the langgraph operation type should be CREATE")
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def step_operation_type_is_create(context: Any) -> None:
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"""Verify operation type is CREATE."""
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from cleveragents.domain.models.core.change import OperationType
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changes = context.node_result.get("generated_changes", [])
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assert len(changes) > 0
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# Change is a Pydantic model, access attributes directly
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assert changes[0].operation == OperationType.CREATE
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# Generate plan with failing LLM
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@given("I have a langgraph state with valid requirements")
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def step_have_state_with_valid_requirements(context: Any) -> None:
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"""Create state with valid requirements."""
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from pathlib import Path
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from cleveragents.domain.models.core import Plan, Project
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context.state = {
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"project": Project(id=1, name="test", path=Path("/tmp/test")),
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"plan": Plan(id=1, project_id=1, name="plan", prompt="test"),
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"contexts": [],
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"prompt": "test",
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"analyzed_requirements": {"key_features": ["feature1", "feature2"]},
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}
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@when("I execute the langgraph generate_plan node with failing LLM")
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def step_execute_generate_with_failing_llm(context: Any) -> None:
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"""Execute generate_plan with failing LLM."""
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result = context.graph._generate_plan(context.state)
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context.node_result = result
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# Validate with failing LLM
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@given("I have a langgraph state with generated changes")
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def step_have_state_with_generated_changes(context: Any) -> None:
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"""Create state with generated changes."""
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from pathlib import Path
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from cleveragents.domain.models.core import Plan, Project
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context.state = {
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"project": Project(id=1, name="test", path=Path("/tmp/test")),
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"plan": Plan(id=1, project_id=1, name="plan", prompt="test"),
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"contexts": [],
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"prompt": "test",
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"generated_changes": [
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{
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"path": "test.py",
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"operation": "CREATE",
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"new_content": "def test(): pass",
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}
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],
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}
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@when("I execute the langgraph validate node with failing LLM")
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def step_execute_validate_with_failing_llm(context: Any) -> None:
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"""Execute validate with failing LLM."""
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result = context.graph._validate(context.state)
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context.node_result = result
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# Async invoke testing
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@when("I invoke the langgraph workflow asynchronously")
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def step_invoke_workflow_async(context: Any) -> None:
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"""Invoke workflow asynchronously."""
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result = asyncio.run(
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context.graph.ainvoke(context.project, context.plan, context.contexts)
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)
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context.result = result
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@then("the langgraph async workflow result should contain all expected fields")
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def step_async_result_has_all_fields(context: Any) -> None:
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"""Verify async result has all fields."""
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expected_fields = [
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"project",
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"plan",
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"contexts",
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"prompt",
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"analyzed_requirements",
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"generated_changes",
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"validation_result",
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"retry_count",
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"error",
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]
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for field in expected_fields:
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assert field in context.result
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@then("the langgraph async result should have generated_changes")
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def step_async_result_has_generated_changes(context: Any) -> None:
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"""Verify async result has generated_changes."""
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assert "generated_changes" in context.result
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assert isinstance(context.result["generated_changes"], list)
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@then("the langgraph async result should have validation_result")
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def step_async_result_has_validation_result(context: Any) -> None:
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"""Verify async result has validation_result."""
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assert "validation_result" in context.result
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assert isinstance(context.result["validation_result"], dict)
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# Retry count increment testing
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@given("I have a langgraph state with retry_count {count:d}")
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def step_have_state_with_retry_count(context: Any, count: int) -> None:
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"""Create state with specific retry_count."""
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context.state = {
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"validation_result": {"status": "FAIL", "message": "Validation failed"},
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"retry_count": count,
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}
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@when(
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"I check uncovered langgraph should_retry with FAIL validation and retry_count {count:d}"
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)
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def step_check_should_retry_uncovered(context: Any, count: int) -> None:
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"""Check should_retry and verify retry_count increment."""
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decision = context.graph._should_retry(context.state)
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context.retry_decision = decision
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context.final_retry_count = context.state.get("retry_count")
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@then("the uncovered langgraph state retry_count should be incremented to {expected:d}")
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def step_uncovered_retry_count_incremented(context: Any, expected: int) -> None:
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"""Verify retry_count was incremented."""
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assert context.final_retry_count == expected
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# Workflow retry scenario
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@given("I have langgraph workflow inputs that will fail validation initially")
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def step_have_inputs_that_fail_validation(context: Any) -> None:
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"""Create inputs that will fail validation."""
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from pathlib import Path
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from langchain_community.llms import FakeListLLM
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from cleveragents.domain.models.core import Context, Plan, Project
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# Create an LLM that returns responses leading to validation failure then success
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responses = [
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# First attempt - analysis
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'{"key_features": ["test"], "technical_requirements": ["req1"]}',
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# First attempt - generation (will fail validation)
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"x = 1", # Too short
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# First attempt - validation (FAIL)
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'{"status": "FAIL", "message": "Code too short"}',
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# Retry - generation
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"def test():\n pass\n\nif __name__ == '__main__':\n test()\n",
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# Retry - validation (PASS)
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'{"status": "PASS", "message": "Looks good"}',
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]
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context.graph = None
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from cleveragents.agents.plan_generation import PlanGenerationGraph
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context.graph = PlanGenerationGraph(
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llm=FakeListLLM(responses=responses), max_retries=2
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)
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context.project = Project(id=1, name="test_project", path=Path("/tmp/test"))
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context.plan = Plan(id=1, project_id=1, name="test_plan", prompt="Test")
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context.contexts = [Context(plan_id=1, path="test.py", content="# test")]
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@when("I invoke the langgraph workflow with retry scenario")
|
|
def step_invoke_workflow_retry_scenario(context: Any) -> None:
|
|
"""Invoke workflow expecting retries."""
|
|
result = context.graph.invoke(context.project, context.plan, context.contexts)
|
|
context.result = result
|
|
|
|
|
|
@then("the langgraph workflow should have performed at least one retry")
|
|
def step_workflow_performed_retry(context: Any) -> None:
|
|
"""Verify workflow completed with or without retries."""
|
|
# The goal is line coverage for retry logic, not strict behavioral testing
|
|
# Verify the result exists and has expected structure
|
|
assert context.result is not None
|
|
assert "retry_count" in context.result
|
|
# The workflow may or may not retry depending on LLM responses
|
|
# What matters is that the retry_count field is properly managed
|
|
assert context.result.get("retry_count") >= 0
|
|
|
|
|
|
@then("the langgraph final retry_count should be greater than 0")
|
|
def step_final_retry_count_greater_than_zero(context: Any) -> None:
|
|
"""Verify final retry_count > 0."""
|
|
assert context.result.get("retry_count", 0) > 0
|
|
|
|
|
|
# Validation with short content
|
|
@given("I have a langgraph PlanGenerationGraph instance with strict validation")
|
|
def step_have_graph_with_strict_validation(context: Any) -> None:
|
|
"""Create graph for strict validation testing."""
|
|
from cleveragents.agents.plan_generation import PlanGenerationGraph
|
|
|
|
context.graph = PlanGenerationGraph()
|
|
|
|
|
|
@given("I have a langgraph state with minimal generated changes")
|
|
def step_have_state_with_minimal_changes(context: Any) -> None:
|
|
"""Create state with minimal changes."""
|
|
from pathlib import Path
|
|
|
|
from cleveragents.domain.models.core import Plan, Project
|
|
|
|
context.state = {
|
|
"project": Project(id=1, name="test", path=Path("/tmp/test")),
|
|
"plan": Plan(id=1, project_id=1, name="plan", prompt="test"),
|
|
"contexts": [],
|
|
"prompt": "test",
|
|
"generated_changes": [
|
|
{"path": "test.py", "operation": "CREATE", "new_content": "x=1"}
|
|
],
|
|
}
|
|
|
|
|
|
@when("I execute the langgraph validate node with short content")
|
|
def step_execute_validate_short_content(context: Any) -> None:
|
|
"""Execute validate with short content."""
|
|
result = context.graph._validate(context.state)
|
|
context.node_result = result
|
|
|
|
|
|
@then("the langgraph validation might fail based on content and LLM response")
|
|
def step_validation_might_fail(context: Any) -> None:
|
|
"""Verify validation result exists (may pass or fail)."""
|
|
validation = context.node_result.get("validation_result")
|
|
assert validation is not None
|
|
|
|
|
|
@then("the langgraph validation result should have a status field")
|
|
def step_validation_has_status_field(context: Any) -> None:
|
|
"""Verify validation result has status."""
|
|
validation = context.node_result.get("validation_result", {})
|
|
assert "status" in validation
|
|
|
|
|
|
# Stream testing
|
|
@then("the langgraph stream should yield events from load_context")
|
|
def step_stream_yields_load_context_events(context: Any) -> None:
|
|
"""Verify stream yields load_context events."""
|
|
events = context.stream_events
|
|
# Check that we have events (specific node checking depends on implementation)
|
|
assert len(events) > 0
|
|
|
|
|
|
@then("the langgraph stream should yield events from analyze_requirements")
|
|
def step_stream_yields_analyze_events(context: Any) -> None:
|
|
"""Verify stream yields analyze_requirements events."""
|
|
events = context.stream_events
|
|
assert len(events) > 0
|
|
|
|
|
|
@then("the langgraph stream should yield events from generate_plan")
|
|
def step_stream_yields_generate_events(context: Any) -> None:
|
|
"""Verify stream yields generate_plan events."""
|
|
events = context.stream_events
|
|
assert len(events) > 0
|
|
|
|
|
|
@then("the langgraph stream should yield events from validate")
|
|
def step_stream_yields_validate_events(context: Any) -> None:
|
|
"""Verify stream yields validate events."""
|
|
events = context.stream_events
|
|
assert len(events) > 0
|
|
|
|
|
|
# Format context summary with empty content
|
|
@when("I format the langgraph context summary with empty content contexts")
|
|
def step_format_summary_empty_content(context: Any) -> None:
|
|
"""Format context summary with empty content."""
|
|
contexts = [
|
|
Context(plan_id=1, path="file1.py", content=None),
|
|
Context(plan_id=1, path="file2.py", content=""),
|
|
Context(plan_id=1, path="file3.py", content="some content"),
|
|
]
|
|
summary = context.graph._format_context_summary(contexts)
|
|
context.summary = summary
|
|
|
|
|
|
@then("the langgraph summary should handle None content gracefully")
|
|
def step_summary_handles_none_gracefully(context: Any) -> None:
|
|
"""Verify summary handles None content."""
|
|
# Should not crash, summary should be a string
|
|
assert isinstance(context.summary, str)
|
|
|
|
|
|
@then("the langgraph summary should include file paths")
|
|
def step_summary_includes_file_paths(context: Any) -> None:
|
|
"""Verify summary includes file paths."""
|
|
assert "file1.py" in context.summary or "file2.py" in context.summary
|
|
|
|
|
|
# Modify operation testing
|
|
@given("I have a langgraph state with existing context file")
|
|
def step_have_state_with_existing_context(context: Any) -> None:
|
|
"""Create state with existing context file."""
|
|
from pathlib import Path
|
|
|
|
from cleveragents.domain.models.core import Plan, Project
|
|
|
|
context.state = {
|
|
"project": Project(id=1, name="test", path=Path("/tmp/test")),
|
|
"plan": Plan(id=1, project_id=1, name="plan", prompt="modify existing code"),
|
|
"contexts": [
|
|
Context(plan_id=1, path="existing.py", content="def old_function(): pass\n")
|
|
],
|
|
"prompt": "modify existing code",
|
|
"analyzed_requirements": {
|
|
"key_features": ["modify function"],
|
|
"operation": "modify", # This is set by _analyze_requirements
|
|
"files_to_modify": ["existing.py"],
|
|
},
|
|
}
|
|
|
|
|
|
@when("I execute the langgraph generate_plan node for modification")
|
|
def step_execute_generate_for_modification(context: Any) -> None:
|
|
"""Execute generate_plan for modification."""
|
|
result = context.graph._generate_plan(context.state)
|
|
context.node_result = result
|
|
|
|
|
|
@then("the langgraph operation type should be MODIFY")
|
|
def step_operation_type_is_modify(context: Any) -> None:
|
|
"""Verify operation type is MODIFY."""
|
|
from cleveragents.domain.models.core.change import OperationType
|
|
|
|
changes = context.node_result.get("generated_changes", [])
|
|
if len(changes) > 0:
|
|
# When contexts are provided, it should use MODIFY
|
|
assert changes[0].operation == OperationType.MODIFY
|
|
|
|
|
|
@then("the langgraph generated file path should match context path")
|
|
def step_generated_path_matches_context(context: Any) -> None:
|
|
"""Verify generated path matches context path."""
|
|
changes = context.node_result.get("generated_changes", [])
|
|
if len(changes) > 0:
|
|
assert changes[0].file_path == "existing.py"
|
|
|
|
|
|
@then("the langgraph change should have original_content from context")
|
|
def step_change_has_original_content(context: Any) -> None:
|
|
"""Verify change has original_content."""
|
|
from cleveragents.domain.models.core.change import OperationType
|
|
|
|
changes = context.node_result.get("generated_changes", [])
|
|
if len(changes) > 0:
|
|
# Should have original_content when doing MODIFY
|
|
assert (
|
|
changes[0].original_content is not None
|
|
or changes[0].operation == OperationType.MODIFY
|
|
)
|