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manual_slop/tests/test_mma_usage_stats.py
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ed bacddc8549 feat(type_aliases): add per-aggregate dataclasses for metadata_promotion_20260624
TIER-2 READ AGENTS.md conductor/workflow.md conductor/edit_workflow.md conductor/tier2/githooks/forbidden-files.txt conductor/tracks/tier2_leak_prevention_20260620/spec.md conductor/code_styleguides/data_oriented_design.md conductor/code_styleguides/error_handling.md conductor/code_styleguides/type_aliases.md before Phase 0 Tasks 0.1, 0.2, 0.4.

Phase 0 of metadata_promotion_20260624. 11 NEW per-aggregate dataclasses added to src/type_aliases.py (CommsLogEntry, HistoryMessage, FileItem, ToolDefinition, SessionInsights, DiscussionSettings, CustomSlice, MMAUsageStats, ProviderPayload, UIPanelConfig, PathInfo) + RAGChunk added to src/rag_engine.py. Metadata: TypeAlias = dict[str, Any] preserved unchanged as the catch-all for collapsed codepaths. Each dataclass has paired to_dict()/from_dict() methods.

11 regression-guard test files created with 5-7 tests each (~70 tests total). All tests PASS.

The existing tests/test_type_aliases.py was updated to reflect the NEW design (CommsLogEntry etc. are now classes, not aliases to Metadata).

Conventions: 1-space indentation, CRLF preserved, no comments.
2026-06-25 14:47:18 -04:00

51 lines
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Python

"""Tests for MMAUsageStats in src/type_aliases.py
Per-aggregate dataclass regression-guard for the metadata_promotion_20260624 track.
CONVENTION: 1-space indentation. NO COMMENTS.
"""
from __future__ import annotations
from dataclasses import FrozenInstanceError
import pytest
from src.type_aliases import MMAUsageStats
def test_constructor_with_kwargs() -> None:
u = MMAUsageStats(model="gpt-4", input=100, output=200)
assert u.model == "gpt-4"
assert u.input == 100
assert u.output == 200
def test_field_access() -> None:
u = MMAUsageStats(model="claude-3")
assert u.model == "claude-3"
def test_frozen_raises_on_mutation() -> None:
u = MMAUsageStats()
with pytest.raises(FrozenInstanceError):
u.model = "x"
def test_to_dict_roundtrip() -> None:
u = MMAUsageStats(model="m", input=10, output=20)
d = u.to_dict()
assert d["model"] == "m"
assert d["input"] == 10
assert d["output"] == 20
def test_default_values() -> None:
u = MMAUsageStats()
assert u.model == "unknown"
assert u.input == 0
assert u.output == 0
def test_hashability() -> None:
u = MMAUsageStats(model="x")
assert hash(u) is not None