83 lines
2.0 KiB
Python
83 lines
2.0 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Literal
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RunnerKind = Literal["agent_runtime"]
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ModeKind = Literal["router_only", "router_rag", "full_chain"]
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@dataclass(slots=True, frozen=True)
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class CaseInput:
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repo_path: Path | None = None
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project_id: str | None = None
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rag_session_id: str | None = None
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@dataclass(slots=True, frozen=True)
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class RouterExpectation:
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intent: str | None = None
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sub_intent: str | None = None
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graph_id: str | None = None
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conversation_mode: str | None = None
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@dataclass(slots=True, frozen=True)
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class RetrievalExpectation:
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non_empty: bool | None = None
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min_rows: int | None = None
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direct_symbol_test_hits_max: int | None = None
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path_scope_contains: tuple[str, ...] = ()
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symbol_candidates_contain: tuple[str, ...] = ()
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layers_include: tuple[str, ...] = ()
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@dataclass(slots=True, frozen=True)
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class LlmExpectation:
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non_empty: bool | None = None
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contains_all: tuple[str, ...] = ()
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excludes: tuple[str, ...] = ()
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@dataclass(slots=True, frozen=True)
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class PipelineExpectation:
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answer_mode: str | None = None
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@dataclass(slots=True, frozen=True)
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class CaseExpectations:
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router: RouterExpectation = RouterExpectation()
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retrieval: RetrievalExpectation = RetrievalExpectation()
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llm: LlmExpectation = LlmExpectation()
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pipeline: PipelineExpectation = PipelineExpectation()
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@dataclass(slots=True, frozen=True)
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class V3Case:
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case_id: str
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runner: RunnerKind
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mode: ModeKind
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query: str
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source_file: Path
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input: CaseInput = CaseInput()
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expectations: CaseExpectations = CaseExpectations()
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notes: str = ""
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tags: tuple[str, ...] = ()
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@dataclass(slots=True, frozen=True)
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class ExecutionPayload:
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actual: dict
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details: dict
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@dataclass(slots=True)
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class V3CaseResult:
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case: V3Case
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actual: dict
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details: dict
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passed: bool
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mismatches: list[str] = field(default_factory=list)
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