Richard T
136 lines
4.3 KiB
Python
136 lines
4.3 KiB
Python
"""
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Test result schemas for tracking test execution outcomes.
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Results include detailed error information for debugging and
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categorization for guiding iteration strategy.
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"""
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from datetime import datetime
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from enum import Enum
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from typing import Any
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from pydantic import BaseModel, Field
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class ErrorCategory(str, Enum):
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"""
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Category of test failure for guiding iteration.
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Each category has different implications for how to fix:
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- LOGIC_ERROR: Goal definition is wrong → update success_criteria/constraints
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- IMPLEMENTATION_ERROR: Code bug → fix nodes/edges in Agent stage
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- EDGE_CASE: New scenario discovered → add new test only
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"""
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LOGIC_ERROR = "logic_error"
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IMPLEMENTATION_ERROR = "implementation_error"
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EDGE_CASE = "edge_case"
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class TestResult(BaseModel):
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"""
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Result of a single test execution.
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Captures:
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- Pass/fail status with timing
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- Actual vs expected output
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- Error details for debugging
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- Runtime logs and execution path
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"""
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__test__ = False # Not a pytest test class
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test_id: str
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passed: bool
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duration_ms: int = Field(ge=0, description="Test execution time in milliseconds")
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# Output comparison
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actual_output: Any = None
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expected_output: Any = None
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# Error details (populated on failure)
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error_message: str | None = None
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error_category: ErrorCategory | None = None
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stack_trace: str | None = None
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# Runtime data for debugging
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runtime_logs: list[dict[str, Any]] = Field(default_factory=list, description="Log entries from test execution")
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node_outputs: dict[str, Any] = Field(default_factory=dict, description="Output from each node executed during test")
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execution_path: list[str] = Field(default_factory=list, description="Sequence of nodes executed")
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# Associated run ID (links to Runtime data)
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run_id: str | None = Field(default=None, description="Runtime run ID for detailed analysis")
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timestamp: datetime = Field(default_factory=datetime.now)
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model_config = {"extra": "allow"}
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def summary_dict(self) -> dict[str, Any]:
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"""Return a summary dict for quick overview."""
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return {
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"test_id": self.test_id,
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"passed": self.passed,
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"duration_ms": self.duration_ms,
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"error_category": self.error_category.value if self.error_category else None,
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"error_message": self.error_message[:100] if self.error_message else None,
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}
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class TestSuiteResult(BaseModel):
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"""
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Aggregate result from running a test suite.
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Provides summary statistics and individual results.
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"""
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__test__ = False # Not a pytest test class
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goal_id: str
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total: int
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passed: int
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failed: int
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errors: int = 0 # Tests that couldn't run (e.g., exceptions in setup)
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skipped: int = 0
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results: list[TestResult] = Field(default_factory=list)
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duration_ms: int = Field(default=0, description="Total execution time in milliseconds")
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timestamp: datetime = Field(default_factory=datetime.now)
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model_config = {"extra": "allow"}
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@property
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def all_passed(self) -> bool:
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"""Check if all tests passed."""
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return self.failed == 0 and self.errors == 0
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@property
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def pass_rate(self) -> float:
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"""Calculate pass rate."""
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if self.total == 0:
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return 0.0
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return self.passed / self.total
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def summary_dict(self) -> dict[str, Any]:
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"""Return summary for reporting."""
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return {
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"goal_id": self.goal_id,
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"overall_passed": self.all_passed,
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"summary": {
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"total": self.total,
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"passed": self.passed,
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"failed": self.failed,
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"errors": self.errors,
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"skipped": self.skipped,
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},
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"pass_rate": f"{self.pass_rate:.1%}",
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"duration_ms": self.duration_ms,
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}
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def get_failed_results(self) -> list[TestResult]:
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"""Get all failed test results for debugging."""
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return [r for r in self.results if not r.passed]
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def get_results_by_category(self, category: ErrorCategory) -> list[TestResult]:
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"""Get failed results by error category."""
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return [r for r in self.results if not r.passed and r.error_category == category]
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