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ai-agent-book/chapter7/elo-leaderboard/tests/test_analyze_empty_history.py
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ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

40 lines
1.4 KiB
Python

"""Empty rating history must not crash analyze_rating_changes / get_rating_history."""
import pandas as pd
from animation import prepare_animation_data
from leaderboard import (
analyze_rating_changes,
build_historical_leaderboards,
get_rating_history,
)
def test_get_rating_history_empty_keeps_columns():
hist = build_historical_leaderboards(
pd.DataFrame(columns=["model_a", "model_b", "winner"]),
[(pd.Timestamp("2020-01-01"), pd.DataFrame(columns=["model_a", "model_b", "winner"]))],
)
rh = get_rating_history(hist)
assert list(rh.columns) == ["date", "model", "rating", "rank", "matches", "wins"]
assert len(rh) == 0
def test_analyze_empty_history_returns_empty_frame():
empty = pd.DataFrame(columns=["date", "model", "rating", "rank", "matches", "wins"])
stats = analyze_rating_changes(empty)
assert len(stats) == 0
assert "model" in stats.columns
def test_analyze_after_empty_historical_leaderboards():
hist = build_historical_leaderboards(
pd.DataFrame(columns=["model_a", "model_b", "winner"]),
[(pd.Timestamp("2020-01-01"), pd.DataFrame(columns=["model_a", "model_b", "winner"]))],
)
rh = get_rating_history(hist)
stats = analyze_rating_changes(rh)
assert len(stats) == 0
anim = prepare_animation_data(rh)
assert anim["frames"] == []
assert anim["total_frames"] == 0