forked from HAL9000/cleveragents-core
freemo
a074b4846f
Remove FakeListLLM as a silent fallback in agent graph constructors (plan_generation.py, context_analysis.py, auto_debug.py). All three now raise ValueError when llm=None, making missing-provider errors explicit. Add Settings.mock_providers flag and validate_provider_availability() method. Update container.get_ai_provider() to check Settings.mock_providers first, with env-var fallback for backward compatibility. Add resolve_provider_by_name() helper to the provider registry and export it from cleveragents.providers. Add structlog trace logging to ProviderRegistry.get_default_provider_type() to record selection reasoning. Update all existing behave step files, robot tests, and benchmarks that relied on the implicit FakeListLLM default to pass an explicit LLM instance instead. Add new BDD tests (features/provider_fixes.feature with 17 scenarios), Robot Framework integration tests (robot/provider_detection_smoke.robot), and ASV benchmarks (benchmarks/provider_selection_bench.py). ISSUES CLOSED: #323
700 lines
26 KiB
Python
700 lines
26 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 langchain_community.llms import FakeListLLM
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from cleveragents.domain.models.core import Context
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def _default_test_llm() -> FakeListLLM:
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"""Create a FakeListLLM for test purposes."""
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return FakeListLLM(
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responses=[
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"Requirements: Add error handling with try-except blocks",
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"Generated code with proper error handling implementation",
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"Validation passed: Code follows best practices",
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]
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)
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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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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"]}',
|
|
# First attempt - generation (will fail validation)
|
|
"x = 1", # Too short
|
|
# First attempt - validation (FAIL)
|
|
'{"status": "FAIL", "message": "Code too short"}',
|
|
# Retry - generation
|
|
"def test():\n pass\n\nif __name__ == '__main__':\n test()\n",
|
|
# Retry - validation (PASS)
|
|
'{"status": "PASS", "message": "Looks good"}',
|
|
]
|
|
|
|
context.graph = None
|
|
from cleveragents.agents.plan_generation import PlanGenerationGraph
|
|
|
|
context.graph = PlanGenerationGraph(
|
|
llm=FakeListLLM(responses=responses), max_retries=2
|
|
)
|
|
|
|
context.project = Project(id=1, name="test_project", path=Path("/tmp/test"))
|
|
context.plan = Plan(id=1, project_id=1, name="test_plan", prompt="Test")
|
|
context.contexts = [Context(plan_id=1, path="test.py", content="# test")]
|
|
|
|
|
|
@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(llm=_default_test_llm())
|
|
|
|
|
|
@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
|
|
)
|