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1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 | """Tests for the Gradio leaderboard app."""
import json
import sys
from pathlib import Path
from unittest.mock import patch
import pandas as pd
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent))
from app import (
AGENT_TYPE_COLORS,
DISPLAY_COLUMNS,
GAMES_JSONL,
MAX_SUBMITS_PER_HOUR,
MIN_GAMES_FOR_LEADERBOARD,
VALID_OPPONENTS,
_aggregate_agent_games,
_build_response,
_check_rate_limit,
_load_raw_games,
_process_identity,
_rebuild_leaderboard,
_safe_agent_link,
_safe_replay_link,
_sanitize_csv_value,
_save_raw_game,
_scenarios_catalog_df,
_scenarios_detail_md,
_scenarios_filter,
_single_game_row,
_submit_times,
_verified_badge,
_verify_hf_token,
add_type_badges,
build_app,
filter_leaderboard,
handle_upload,
handle_api_submit,
handle_api_submit_with_replay,
load_data,
validate_submission,
)
class TestLoadData:
"""Test data loading."""
def test_returns_dataframe(self):
df = load_data()
assert isinstance(df, pd.DataFrame)
def test_has_display_columns(self):
df = load_data()
for col in DISPLAY_COLUMNS:
assert col in df.columns, f"Missing column: {col}"
def test_has_rank_column(self):
df = load_data()
if len(df) > 0:
assert df["Rank"].iloc[0] == 1
def test_sorted_by_score_descending(self):
df = load_data()
if len(df) > 1:
scores = df["Score"].tolist()
assert scores == sorted(scores, reverse=True)
def test_handles_missing_file(self):
with patch("app.DATA_PATH", Path("/nonexistent/data.csv")):
df = load_data()
assert isinstance(df, pd.DataFrame)
assert len(df) == 0
class TestBadges:
"""Test type badge rendering."""
def test_scripted_badge_has_gold(self):
df = pd.DataFrame({"Type": ["Scripted"]})
result = add_type_badges(df)
assert "#ffcd75" in result["Type"].iloc[0]
def test_llm_badge_has_blue(self):
df = pd.DataFrame({"Type": ["LLM"]})
result = add_type_badges(df)
assert "#7497db" in result["Type"].iloc[0]
def test_rl_badge_has_gray(self):
df = pd.DataFrame({"Type": ["RL"]})
result = add_type_badges(df)
assert "#75809c" in result["Type"].iloc[0]
def test_all_types_have_colors(self):
for t in ["Scripted", "LLM", "RL"]:
assert t in AGENT_TYPE_COLORS
class TestFilter:
"""Test leaderboard filtering."""
def test_returns_dataframe(self):
df = filter_leaderboard("", [], "All")
assert isinstance(df, pd.DataFrame)
def test_search_filters_by_name(self):
df = filter_leaderboard("qwen", [], "All")
if len(df) > 0:
assert all("qwen" in str(row).lower() for row in df["Agent"])
def test_opponent_filter(self):
df = filter_leaderboard("", [], "Beginner")
if len(df) > 0:
assert all(df["Opponent"] == "Beginner")
def test_opponent_filter_hard(self):
df = filter_leaderboard("", [], "Hard")
# May be empty if no Hard entries exist
assert isinstance(df, pd.DataFrame)
class TestBuildApp:
"""Test app construction."""
def test_builds_without_error(self):
app = build_app()
assert app is not None
class TestValidateSubmission:
"""Test submission validation."""
def _valid_data(self):
return {
"agent_name": "TestBot",
"agent_type": "LLM",
"opponent": "Beginner",
"result": "loss",
"ticks": 27000,
"kills_cost": 1000,
"deaths_cost": 2900,
"assets_value": 9050,
}
def test_valid_submission(self):
valid, err = validate_submission(self._valid_data())
assert valid
assert err == ""
def test_missing_field(self):
data = {"agent_name": "Bot"}
valid, err = validate_submission(data)
assert not valid
assert "Missing required field" in err
def test_invalid_opponent(self):
data = self._valid_data()
data["opponent"] = "Brutal"
valid, err = validate_submission(data)
assert not valid
assert "Invalid opponent" in err
def test_invalid_agent_type(self):
data = self._valid_data()
data["agent_type"] = "MCTS"
valid, err = validate_submission(data)
assert not valid
assert "Invalid agent_type" in err
def test_all_opponents_accepted(self):
for opp in VALID_OPPONENTS:
data = self._valid_data()
data["opponent"] = opp
valid, _ = validate_submission(data)
assert valid, f"Opponent '{opp}' should be valid"
def test_all_agent_types_accepted(self):
for at in ["Scripted", "LLM", "RL"]:
data = self._valid_data()
data["agent_type"] = at
valid, _ = validate_submission(data)
assert valid, f"Agent type '{at}' should be valid"
class TestApiSubmit:
"""Test API submission handler."""
def test_valid_json(self, tmp_path):
data = {
"agent_name": "TestBot",
"agent_type": "LLM",
"opponent": "Easy",
"result": "win",
"win": True,
"ticks": 5000,
"kills_cost": 3000,
"deaths_cost": 1000,
"assets_value": 8000,
}
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
result = handle_api_submit(json.dumps(data))
assert "OK" in result
assert "TestBot" in result
def test_valid_json_with_hf_token(self, tmp_path):
data = {
"agent_name": "TestBot",
"agent_type": "LLM",
"opponent": "Easy",
"result": "win",
"win": True,
"ticks": 5000,
"kills_cost": 3000,
"deaths_cost": 1000,
"assets_value": 8000,
"hf_token": "hf_test",
}
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
patch("app._verify_hf_token", return_value=("testuser", "")):
result = handle_api_submit(json.dumps(data))
assert "OK" in result
assert "TestBot" in result
assert "1/5" in result
# Verify token is not in stored data
saved = json.loads(games_path.read_text().strip())
assert "hf_token" not in saved
assert saved["hf_username"] == "testuser"
def test_invalid_json(self):
_submit_times.clear()
result = handle_api_submit("not json")
assert "Invalid JSON" in result
def test_missing_fields(self):
_submit_times.clear()
result = handle_api_submit(json.dumps({"agent_name": "Bot"}))
assert "Validation error" in result
class TestDisplayColumns:
"""Test display column configuration."""
def test_replay_in_display_columns(self):
assert "Replay" in DISPLAY_COLUMNS
def test_display_columns_count(self):
assert len(DISPLAY_COLUMNS) == 15
class TestAgentUrl:
"""Test agent URL hyperlink rendering."""
def test_agent_url_in_submission(self, tmp_path):
data = {
"agent_name": "DeathBot",
"agent_type": "RL",
"agent_url": "https://github.com/user/deathbot",
"opponent": "Normal",
"result": "win",
"ticks": 5000,
"kills_cost": 3000,
"deaths_cost": 1000,
"assets_value": 8000,
}
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
result = handle_api_submit(json.dumps(data))
assert "OK" in result
assert "DeathBot" in result
def test_agent_url_renders_link(self):
"""When agent_url is set, Agent column should be a hyperlink."""
import tempfile
csv_content = (
"agent_name,agent_type,opponent,games,win_rate,score,"
"avg_kills,avg_deaths,kd_ratio,avg_economy,avg_game_length,"
"timestamp,replay_url,agent_url\n"
"DeathBot,RL,Normal,10,50.0,60.0,"
"2000,1500,1.33,9000,15000,"
"2026-02-26,,https://github.com/user/deathbot\n"
)
with tempfile.NamedTemporaryFile(
mode="w", suffix=".csv", delete=False
) as f:
f.write(csv_content)
temp_path = Path(f.name)
with patch("app.DATA_PATH", temp_path):
df = load_data()
assert '<a href="https://github.com/user/deathbot"' in df["Agent"].iloc[0]
temp_path.unlink(missing_ok=True)
def test_no_url_renders_plain_name(self):
"""When agent_url is empty, Agent column is plain text."""
import tempfile
csv_content = (
"agent_name,agent_type,opponent,games,win_rate,score,"
"avg_kills,avg_deaths,kd_ratio,avg_economy,avg_game_length,"
"timestamp,replay_url,agent_url\n"
"PlainBot,LLM,Easy,5,20.0,30.0,"
"1000,2000,0.5,5000,10000,"
"2026-02-26,,\n"
)
with tempfile.NamedTemporaryFile(
mode="w", suffix=".csv", delete=False
) as f:
f.write(csv_content)
temp_path = Path(f.name)
with patch("app.DATA_PATH", temp_path):
df = load_data()
assert df["Agent"].iloc[0] == "PlainBot"
temp_path.unlink(missing_ok=True)
class TestReplayColumn:
"""Test replay download link rendering."""
def test_replay_link_rendered(self):
"""Replay column shows download link when replay_url is set."""
import tempfile
csv_content = (
"agent_name,agent_type,opponent,games,win_rate,score,"
"avg_kills,avg_deaths,kd_ratio,avg_economy,avg_game_length,"
"timestamp,replay_url,agent_url\n"
"TestBot,LLM,Easy,1,0.0,18.0,"
"1000,2000,0.5,5000,10000,"
"2026-02-26,replay-test-123.orarep,\n"
)
with tempfile.NamedTemporaryFile(
mode="w", suffix=".csv", delete=False
) as f:
f.write(csv_content)
temp_path = Path(f.name)
with patch("app.DATA_PATH", temp_path):
df = load_data()
assert "/replays/replay-test-123.orarep" in df["Replay"].iloc[0]
assert "download" in df["Replay"].iloc[0]
temp_path.unlink(missing_ok=True)
def test_empty_replay_no_link(self):
"""Replay column is empty when no replay_url."""
df = load_data()
if len(df) > 0:
# The default test data has no replay
replay_val = df["Replay"].iloc[0]
assert replay_val == "" or not str(replay_val).strip()
class TestXssPrevention:
"""Test that user input is HTML-escaped to prevent XSS."""
def test_javascript_url_blocked(self):
"""javascript: URLs should NOT produce a clickable link."""
result = _safe_agent_link("Bot", "javascript:alert(1)")
assert "javascript:" not in result
assert "Bot" in result
def test_data_url_blocked(self):
result = _safe_agent_link("Bot", "data:text/html,<script>alert(1)</script>")
assert "data:" not in result
def test_html_in_name_escaped(self):
result = _safe_agent_link('<script>alert("xss")</script>', "")
assert "<script>" not in result
assert "<script>" in result
def test_quote_injection_in_url_escaped(self):
result = _safe_agent_link("Bot", 'https://ok.com" onclick="alert(1)')
assert 'onclick' not in result or '"' in result
def test_valid_https_url_works(self):
result = _safe_agent_link("Bot", "https://github.com/user/repo")
assert '<a href="https://github.com/user/repo"' in result
assert 'rel="noopener"' in result
def test_replay_link_sanitized(self):
result = _safe_replay_link('"><script>alert(1)</script>.orarep')
assert "<script>" not in result
def test_replay_path_traversal_stripped(self):
"""Path traversal characters (/) are stripped from replay filenames."""
result = _safe_replay_link("replay/../../../etc/passwd")
# The href after /replays/ should have no slashes (traversal stripped)
href_part = result.split('href="')[1].split('"')[0]
filename = href_part.replace("/replays/", "")
assert "/" not in filename
class TestInputValidation:
"""Test stricter input validation."""
def _valid_data(self):
return {
"agent_name": "TestBot",
"agent_type": "LLM",
"opponent": "Beginner",
"result": "loss",
"ticks": 27000,
"kills_cost": 1000,
"deaths_cost": 2900,
"assets_value": 9050,
}
def test_string_ticks_rejected(self):
data = self._valid_data()
data["ticks"] = "not a number"
valid, err = validate_submission(data)
assert not valid
assert "must be a number" in err
def test_dict_kills_rejected(self):
data = self._valid_data()
data["kills_cost"] = {"nested": True}
valid, err = validate_submission(data)
assert not valid
def test_long_agent_name_rejected(self):
data = self._valid_data()
data["agent_name"] = "A" * 101
valid, err = validate_submission(data)
assert not valid
assert "100 characters" in err
def test_javascript_agent_url_rejected(self):
data = self._valid_data()
data["agent_url"] = "javascript:alert(1)"
valid, err = validate_submission(data)
assert not valid
assert "HTTP(S)" in err
def test_valid_agent_url_accepted(self):
data = self._valid_data()
data["agent_url"] = "https://github.com/user/repo"
valid, _ = validate_submission(data)
assert valid
def test_empty_agent_url_accepted(self):
data = self._valid_data()
data["agent_url"] = ""
valid, _ = validate_submission(data)
assert valid
def test_long_agent_url_rejected(self):
data = self._valid_data()
data["agent_url"] = "https://example.com/" + "a" * 500
valid, err = validate_submission(data)
assert not valid
assert "500 characters" in err
class TestCsvSanitization:
"""Test CSV injection prevention."""
def test_formula_trigger_stripped(self):
assert _sanitize_csv_value("=cmd|'/c calc'!A0") == "cmd|'/c calc'!A0"
def test_plus_trigger_stripped(self):
assert _sanitize_csv_value("+cmd") == "cmd"
def test_at_trigger_stripped(self):
assert _sanitize_csv_value("@SUM(A1)") == "SUM(A1)"
def test_newlines_replaced(self):
assert _sanitize_csv_value("line1\nline2\rline3") == "line1 line2 line3"
def test_normal_string_unchanged(self):
assert _sanitize_csv_value("DeathBot-9000") == "DeathBot-9000"
def test_numbers_unchanged(self):
assert _sanitize_csv_value(42) == 42
assert _sanitize_csv_value(3.14) == 3.14
class TestRateLimiting:
"""Test rate limiting on submissions."""
def test_rate_limit_allows_normal_usage(self):
_submit_times.clear()
allowed, _ = _check_rate_limit("test_normal")
assert allowed
def test_rate_limit_blocks_after_max(self):
_submit_times.clear()
key = "test_flood"
for _ in range(MAX_SUBMITS_PER_HOUR):
allowed, _ = _check_rate_limit(key)
assert allowed
allowed, err = _check_rate_limit(key)
assert not allowed
assert "Rate limit" in err
def test_rate_limit_resets_after_expiry(self):
import time as _time
_submit_times.clear()
key = "test_expiry"
# Fill with old timestamps
_submit_times[key] = [_time.time() - 3601] * MAX_SUBMITS_PER_HOUR
allowed, _ = _check_rate_limit(key)
assert allowed
class TestSearchSafety:
"""Test that malformed regex doesn't crash the search."""
def test_invalid_regex_falls_back(self):
"""An invalid regex pattern should not raise an exception."""
df = filter_leaderboard("[invalid(regex", [], "All")
assert isinstance(df, pd.DataFrame)
# โโ New aggregation tests โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
class TestSaveRawGame:
"""Test raw game storage."""
def test_appends_to_jsonl(self, tmp_path):
games_path = tmp_path / "games.jsonl"
with patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
_save_raw_game({"agent_name": "Bot1", "result": "win"})
_save_raw_game({"agent_name": "Bot2", "result": "lose"})
lines = games_path.read_text().strip().splitlines()
assert len(lines) == 2
assert json.loads(lines[0])["agent_name"] == "Bot1"
assert json.loads(lines[1])["agent_name"] == "Bot2"
def test_also_writes_results_jsonl(self, tmp_path):
games_path = tmp_path / "games.jsonl"
with patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
_save_raw_game({"agent_name": "Bot1", "result": "win"})
jsonl_path = tmp_path / "results.jsonl"
assert jsonl_path.exists()
lines = jsonl_path.read_text().strip().splitlines()
assert len(lines) == 1
assert json.loads(lines[0])["agent_name"] == "Bot1"
class TestLoadRawGames:
"""Test raw game loading."""
def test_returns_empty_when_no_file(self, tmp_path):
games_path = tmp_path / "games.jsonl"
with patch("app.GAMES_JSONL", games_path):
assert _load_raw_games() == []
def test_loads_multiple_games(self, tmp_path):
games_path = tmp_path / "games.jsonl"
games_path.write_text(
'{"agent_name": "A"}\n'
'{"agent_name": "B"}\n'
)
with patch("app.GAMES_JSONL", games_path):
games = _load_raw_games()
assert len(games) == 2
assert games[0]["agent_name"] == "A"
def test_skips_invalid_json_lines(self, tmp_path):
games_path = tmp_path / "games.jsonl"
games_path.write_text(
'{"agent_name": "A"}\n'
'not valid json\n'
'{"agent_name": "B"}\n'
)
with patch("app.GAMES_JSONL", games_path):
games = _load_raw_games()
assert len(games) == 2
def test_skips_blank_lines(self, tmp_path):
games_path = tmp_path / "games.jsonl"
games_path.write_text(
'{"agent_name": "A"}\n'
'\n'
' \n'
'{"agent_name": "B"}\n'
)
with patch("app.GAMES_JSONL", games_path):
games = _load_raw_games()
assert len(games) == 2
class TestAggregation:
"""Test game aggregation logic."""
def _make_game(self, agent="Bot", opponent="Normal", win=True, kills=1000,
deaths=500, assets=5000, ticks=2000, hf_username="testuser"):
return {
"agent_name": agent,
"agent_type": "RL",
"opponent": opponent,
"result": "win" if win else "lose",
"win": win,
"kills_cost": kills,
"deaths_cost": deaths,
"assets_value": assets,
"ticks": ticks,
"timestamp": "2026-03-02",
"hf_username": hf_username,
}
def test_below_threshold_returns_none(self):
games = [self._make_game() for _ in range(MIN_GAMES_FOR_LEADERBOARD - 1)]
count, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert count == MIN_GAMES_FOR_LEADERBOARD - 1
assert agg is None
def test_at_threshold_returns_row(self):
games = [self._make_game() for _ in range(MIN_GAMES_FOR_LEADERBOARD)]
count, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert count == MIN_GAMES_FOR_LEADERBOARD
assert agg is not None
assert agg["games"] == MIN_GAMES_FOR_LEADERBOARD
assert agg["win_rate"] == 100.0
def test_applies_difficulty_multiplier(self):
games_normal = [self._make_game(opponent="Normal") for _ in range(5)]
games_hard = [self._make_game(opponent="Hard") for _ in range(5)]
_, agg_normal = _aggregate_agent_games("Bot", "RL", "Normal", games_normal, hf_username="testuser")
_, agg_hard = _aggregate_agent_games("Bot", "RL", "Hard", games_hard, hf_username="testuser")
assert agg_hard["score"] > agg_normal["score"]
def test_filters_by_agent_and_opponent(self):
games = (
[self._make_game(agent="Bot1", opponent="Normal") for _ in range(5)]
+ [self._make_game(agent="Bot2", opponent="Normal") for _ in range(3)]
+ [self._make_game(agent="Bot1", opponent="Hard") for _ in range(2)]
)
count1, agg1 = _aggregate_agent_games("Bot1", "RL", "Normal", games, hf_username="testuser")
count2, _ = _aggregate_agent_games("Bot2", "RL", "Normal", games, hf_username="testuser")
count3, _ = _aggregate_agent_games("Bot1", "RL", "Hard", games, hf_username="testuser")
assert count1 == 5
assert agg1 is not None
assert count2 == 3 # Below threshold
assert count3 == 2 # Below threshold
def test_mixed_results_aggregated(self):
games = [
self._make_game(win=True, kills=5000, deaths=1000),
self._make_game(win=True, kills=3000, deaths=2000),
self._make_game(win=False, kills=1000, deaths=4000),
self._make_game(win=True, kills=4000, deaths=1500),
self._make_game(win=False, kills=2000, deaths=3000),
]
count, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert count == 5
assert agg["win_rate"] == 60.0
assert agg["avg_kills"] == 3000 # (5000+3000+1000+4000+2000)/5
assert agg["games"] == 5
def test_kd_ratio_computed(self):
games = [self._make_game(kills=2000, deaths=1000) for _ in range(5)]
_, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert agg["kd_ratio"] == 2.0
def test_zero_deaths_kd_ratio(self):
games = [self._make_game(kills=1000, deaths=0) for _ in range(5)]
_, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert agg["kd_ratio"] == 5000.0 # 5000 total kills / max(0, 1)
def test_aggregation_includes_metadata(self):
games = [self._make_game() for _ in range(5)]
games[-1]["agent_url"] = "https://github.com/user/bot"
games[-1]["replay_url"] = "replay-bot.orarep"
_, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert agg["agent_url"] == "https://github.com/user/bot"
assert agg["replay_url"] == "replay-bot.orarep"
assert agg["difficulty"] == "Normal"
assert agg["verified"] is True
assert agg["hf_username"] == "testuser"
def test_filters_by_agent_type(self):
"""Different agent_types for the same name should not mix."""
games = (
[self._make_game(agent="Bot") for _ in range(5)] # agent_type="RL"
)
# Query with wrong agent_type
count, agg = _aggregate_agent_games("Bot", "LLM", "Normal", games, hf_username="testuser")
assert count == 0
assert agg is None
def test_win_field_fallback_to_result(self):
"""When 'win' field is missing, fall back to result=='win'."""
games = []
for _ in range(5):
g = self._make_game()
del g["win"]
g["result"] = "win"
games.append(g)
_, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="testuser")
assert agg["win_rate"] == 100.0
def test_anonymous_not_aggregated(self):
"""Games without hf_username should never be aggregated."""
games = [self._make_game(hf_username="") for _ in range(10)]
count, agg = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="")
assert count == 0
assert agg is None
def test_different_hf_users_not_mixed(self):
"""Games from different HF users should not be mixed."""
games = (
[self._make_game(hf_username="user_a") for _ in range(5)]
+ [self._make_game(hf_username="user_b") for _ in range(5)]
)
count_a, agg_a = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="user_a")
count_b, agg_b = _aggregate_agent_games("Bot", "RL", "Normal", games, hf_username="user_b")
assert count_a == 5
assert count_b == 5
assert agg_a is not None
assert agg_b is not None
class TestRebuildLeaderboard:
"""Test leaderboard rebuild from raw games."""
def test_filters_below_threshold(self, tmp_path):
data_path = tmp_path / "results.csv"
games_path = tmp_path / "games.jsonl"
with patch("app.DATA_PATH", data_path), \
patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
# Save 3 verified games for Bot1 (below threshold)
for _ in range(3):
_save_raw_game({
"agent_name": "Bot1", "agent_type": "RL", "opponent": "Normal",
"result": "win", "win": True, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000, "ticks": 2000,
"timestamp": "2026-03-02", "hf_username": "user1",
})
# Save 5 verified games for Bot2 (at threshold)
for _ in range(5):
_save_raw_game({
"agent_name": "Bot2", "agent_type": "RL", "opponent": "Normal",
"result": "win", "win": True, "kills_cost": 2000,
"deaths_cost": 1000, "assets_value": 8000, "ticks": 1500,
"timestamp": "2026-03-02", "hf_username": "user2",
})
_rebuild_leaderboard()
df = pd.read_csv(data_path)
# Only Bot2 aggregated (5 games). Bot1 below threshold (3 verified games).
verified_rows = df[df["verified"] == True]
assert len(verified_rows) == 1
assert verified_rows.iloc[0]["agent_name"] == "Bot2"
assert verified_rows.iloc[0]["games"] == 5
def test_rebuild_sorts_by_score(self, tmp_path):
data_path = tmp_path / "results.csv"
games_path = tmp_path / "games.jsonl"
with patch("app.DATA_PATH", data_path), \
patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
# Bot with worse stats
for _ in range(5):
_save_raw_game({
"agent_name": "WeakBot", "agent_type": "RL", "opponent": "Normal",
"result": "lose", "win": False, "kills_cost": 100,
"deaths_cost": 5000, "assets_value": 1000, "ticks": 5000,
"timestamp": "2026-03-02", "hf_username": "user1",
})
# Bot with better stats
for _ in range(5):
_save_raw_game({
"agent_name": "StrongBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "win": True, "kills_cost": 5000,
"deaths_cost": 500, "assets_value": 20000, "ticks": 1000,
"timestamp": "2026-03-02", "hf_username": "user2",
})
_rebuild_leaderboard()
df = pd.read_csv(data_path)
verified = df[df["verified"] == True]
assert len(verified) == 2
assert verified.iloc[0]["agent_name"] == "StrongBot"
assert verified.iloc[1]["agent_name"] == "WeakBot"
def test_rebuild_no_games_preserves_csv(self, tmp_path):
data_path = tmp_path / "results.csv"
games_path = tmp_path / "games.jsonl"
# Create an existing CSV
data_path.write_text("agent_name,score\nOldBot,50\n")
with patch("app.DATA_PATH", data_path), \
patch("app.GAMES_JSONL", games_path):
_rebuild_leaderboard()
# File should be unchanged (no games.jsonl = no rebuild)
assert "OldBot" in data_path.read_text()
def test_rebuild_no_qualifying_agents_with_anonymous(self, tmp_path):
"""Anonymous-only games still produce rows (unverified)."""
data_path = tmp_path / "results.csv"
games_path = tmp_path / "games.jsonl"
with patch("app.DATA_PATH", data_path), \
patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
for _ in range(2):
_save_raw_game({
"agent_name": "Bot1", "agent_type": "RL", "opponent": "Normal",
"result": "win", "win": True, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000, "ticks": 2000,
"timestamp": "2026-03-02", "hf_username": "",
})
_rebuild_leaderboard()
df = pd.read_csv(data_path)
assert len(df) == 2 # 2 anonymous individual rows
assert all(df["verified"] == False)
def test_rebuild_includes_difficulty_column(self, tmp_path):
data_path = tmp_path / "results.csv"
games_path = tmp_path / "games.jsonl"
with patch("app.DATA_PATH", data_path), \
patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
for _ in range(5):
_save_raw_game({
"agent_name": "Bot1", "agent_type": "RL", "opponent": "Hard",
"result": "win", "win": True, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000, "ticks": 2000,
"timestamp": "2026-03-02", "hf_username": "user1",
})
_rebuild_leaderboard()
df = pd.read_csv(data_path)
verified = df[df["verified"] == True]
assert "difficulty" in df.columns
assert verified.iloc[0]["difficulty"] == "Hard"
def test_rebuild_includes_verified_column(self, tmp_path):
data_path = tmp_path / "results.csv"
games_path = tmp_path / "games.jsonl"
with patch("app.DATA_PATH", data_path), \
patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
# Verified games
for _ in range(5):
_save_raw_game({
"agent_name": "VerifiedBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "win": True, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000, "ticks": 2000,
"timestamp": "2026-03-02", "hf_username": "hfuser",
})
# Anonymous game
_save_raw_game({
"agent_name": "AnonBot", "agent_type": "LLM", "opponent": "Normal",
"result": "win", "win": True, "kills_cost": 2000,
"deaths_cost": 500, "assets_value": 5000, "ticks": 2000,
"timestamp": "2026-03-02", "hf_username": "",
})
_rebuild_leaderboard()
df = pd.read_csv(data_path)
assert "verified" in df.columns
assert "hf_username" in df.columns
verified_rows = df[df["verified"] == True]
anon_rows = df[df["verified"] == False]
assert len(verified_rows) == 1
assert verified_rows.iloc[0]["agent_name"] == "VerifiedBot"
assert len(anon_rows) == 1
assert anon_rows.iloc[0]["agent_name"] == "AnonBot"
class TestFriendlyMessages:
"""Test submission response messages."""
def _mock_hf_verify(self, username="testuser"):
"""Return a patcher that makes _verify_hf_token return the given username."""
return patch("app._verify_hf_token", return_value=(username, ""))
def test_below_threshold_message(self, tmp_path):
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
self._mock_hf_verify():
data = {
"agent_name": "TestBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "ticks": 2000, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000,
"hf_token": "hf_test",
}
result = handle_api_submit(json.dumps(data))
assert "1/5" in result
assert "Play 4 more" in result
assert "leaderboard" in result
def test_at_threshold_message(self, tmp_path):
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
self._mock_hf_verify():
data = {
"agent_name": "TestBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "ticks": 2000, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000,
"hf_token": "hf_test",
}
# Submit 5 games
for _ in range(4):
handle_api_submit(json.dumps(data))
result = handle_api_submit(json.dumps(data))
assert "updated" in result
assert "5 games" in result
assert "score" in result
def test_singular_remaining_game(self, tmp_path):
"""When only 1 game remains, message should say 'game' not 'games'."""
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
self._mock_hf_verify():
data = {
"agent_name": "TestBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "ticks": 2000, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000,
"hf_token": "hf_test",
}
# Submit 4 games
for _ in range(3):
handle_api_submit(json.dumps(data))
result = handle_api_submit(json.dumps(data))
assert "4/5" in result
assert "Play 1 more game " in result # No 's' โ singular
def test_progress_increments(self, tmp_path):
"""Each submission should increment the game count."""
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
self._mock_hf_verify():
data = {
"agent_name": "TestBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "ticks": 2000, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000,
"hf_token": "hf_test",
}
r1 = handle_api_submit(json.dumps(data))
r2 = handle_api_submit(json.dumps(data))
r3 = handle_api_submit(json.dumps(data))
assert "1/5" in r1
assert "2/5" in r2
assert "3/5" in r3
def test_anonymous_message(self, tmp_path):
"""No hf_token โ anonymous message."""
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
data = {
"agent_name": "AnonBot", "agent_type": "RL", "opponent": "Normal",
"result": "win", "ticks": 2000, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000,
}
result = handle_api_submit(json.dumps(data))
assert "anonymous" in result.lower()
assert "AnonBot" in result
assert "HF token" in result
class TestHandleUploadAggregation:
"""Test the UI upload handler with aggregation."""
def _valid_data(self, hf_token="hf_test"):
d = {
"agent_name": "UploadBot",
"agent_type": "LLM",
"opponent": "Easy",
"result": "win",
"ticks": 3000,
"kills_cost": 2000,
"deaths_cost": 800,
"assets_value": 7000,
}
if hf_token:
d["hf_token"] = hf_token
return d
def _mock_hf_verify(self, username="testuser"):
return patch("app._verify_hf_token", return_value=(username, ""))
def test_upload_below_threshold_message(self, tmp_path):
"""Upload handler should show progress message below threshold."""
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
# Create a JSON file for upload
json_path = tmp_path / "upload.json"
json_path.write_text(json.dumps(self._valid_data()))
class FakeFile:
def __init__(self, p):
self.name = str(p)
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
self._mock_hf_verify():
msg, df = handle_upload(FakeFile(json_path), None)
assert "1/5" in msg
assert "UploadBot" in msg
assert "leaderboard" in msg
def test_upload_at_threshold_message(self, tmp_path):
"""Upload handler should show score when threshold reached."""
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
data = self._valid_data()
# Pre-seed 4 verified games
for _ in range(4):
safe = {k: v for k, v in data.items() if k != "hf_token"}
safe["hf_username"] = "testuser"
with open(games_path, "a") as f:
f.write(json.dumps(safe) + "\n")
json_path = tmp_path / "upload.json"
json_path.write_text(json.dumps(data))
class FakeFile:
def __init__(self, p):
self.name = str(p)
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path), \
self._mock_hf_verify():
msg, df = handle_upload(FakeFile(json_path), None)
assert "updated" in msg
assert "5 games" in msg
assert "score" in msg
def test_upload_anonymous_message(self, tmp_path):
"""Upload without HF token should show anonymous message."""
games_path = tmp_path / "games.jsonl"
data_path = tmp_path / "results.csv"
json_path = tmp_path / "upload.json"
json_path.write_text(json.dumps(self._valid_data(hf_token="")))
class FakeFile:
def __init__(self, p):
self.name = str(p)
_submit_times.clear()
with patch("app.GAMES_JSONL", games_path), \
patch("app.DATA_PATH", data_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
msg, df = handle_upload(FakeFile(json_path), None)
assert "anonymous" in msg.lower()
assert "UploadBot" in msg
# โโ HF Identity & Verification Tests โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
class TestVerifyHfToken:
"""Test HF token verification."""
def test_empty_token_returns_empty(self):
username, err = _verify_hf_token("")
assert username == ""
assert "no token" in err
def test_none_token_returns_empty(self):
username, err = _verify_hf_token(None)
assert username == ""
def test_valid_token_returns_username(self):
mock_api = type("MockHfApi", (), {
"whoami": lambda self, token: {"name": "alice"},
})()
with patch("huggingface_hub.HfApi", return_value=mock_api):
username, err = _verify_hf_token("hf_valid_token")
assert username == "alice"
assert err == ""
def test_invalid_token_returns_error(self):
mock_api = type("MockHfApi", (), {
"whoami": lambda self, token: (_ for _ in ()).throw(Exception("401 Unauthorized")),
})()
with patch("huggingface_hub.HfApi", return_value=mock_api):
username, err = _verify_hf_token("hf_bad_token")
assert username == ""
assert "invalid token" in err
class TestProcessIdentity:
"""Test the identity processing helper."""
def test_with_valid_token(self):
data = {"agent_name": "Bot", "hf_token": "hf_test"}
with patch("app._verify_hf_token", return_value=("alice", "")):
username, warning = _process_identity(data)
assert username == "alice"
assert warning == ""
assert data["hf_username"] == "alice"
assert "hf_token" not in data # Token should be popped
def test_with_invalid_token(self):
data = {"agent_name": "Bot", "hf_token": "hf_bad"}
with patch("app._verify_hf_token", return_value=("", "invalid")):
username, warning = _process_identity(data)
assert username == ""
assert "anonymous" in warning.lower() or "failed" in warning.lower()
assert data["hf_username"] == ""
def test_without_token(self):
data = {"agent_name": "Bot"}
username, warning = _process_identity(data)
assert username == ""
assert warning == ""
assert data["hf_username"] == ""
class TestVerifiedBadge:
"""Test the verified/unverified badge rendering."""
def test_verified_badge_green(self):
badge = _verified_badge(True)
assert "#4caf50" in badge
assert "Verified" in badge
def test_unverified_badge_orange(self):
badge = _verified_badge(False)
assert "#ff9800" in badge
assert "Unverified" in badge
def test_string_true(self):
badge = _verified_badge("True")
assert "Verified" in badge
assert "Unverified" not in badge
def test_string_false(self):
badge = _verified_badge("False")
assert "Unverified" in badge
class TestSingleGameRow:
"""Test anonymous single game row creation."""
def test_creates_unverified_row(self):
game = {
"agent_name": "AnonBot",
"agent_type": "LLM",
"opponent": "Normal",
"result": "win",
"win": True,
"kills_cost": 3000,
"deaths_cost": 1000,
"assets_value": 8000,
"ticks": 2000,
"timestamp": "2026-03-02T10:00:00Z",
"hf_username": "",
}
row = _single_game_row(game)
assert row["agent_name"] == "AnonBot"
assert row["verified"] is False
assert row["hf_username"] == ""
assert row["games"] == 1
assert row["win_rate"] == 100.0
assert row["score"] > 0
def test_loss_row(self):
game = {
"agent_name": "Bot",
"agent_type": "RL",
"opponent": "Hard",
"result": "lose",
"win": False,
"kills_cost": 500,
"deaths_cost": 3000,
"assets_value": 2000,
"ticks": 5000,
"timestamp": "2026-03-02",
"hf_username": "",
}
row = _single_game_row(game)
assert row["win_rate"] == 0.0
assert row["difficulty"] == "Hard"
class TestSaveRawGameStripsToken:
"""Verify hf_token is NOT persisted in games.jsonl."""
def test_token_stripped(self, tmp_path):
games_path = tmp_path / "games.jsonl"
with patch("app.GAMES_JSONL", games_path), \
patch("app.SUBMISSIONS_DIR", tmp_path):
_save_raw_game({
"agent_name": "Bot",
"hf_token": "hf_secret_token_123",
"hf_username": "alice",
})
saved = json.loads(games_path.read_text().strip())
assert "hf_token" not in saved
assert saved["hf_username"] == "alice"
class TestBuildResponse:
"""Test response message builder."""
def test_anonymous_response(self):
msg = _build_response("Bot", "RL", "Normal", "", "")
assert "anonymous" in msg.lower()
assert "HF token" in msg
def test_anonymous_with_warning(self):
msg = _build_response("Bot", "RL", "Normal", "", "Token failed.")
assert "Token failed" in msg
assert "anonymous" in msg.lower()
def test_verified_below_threshold(self, tmp_path):
games_path = tmp_path / "games.jsonl"
# Pre-seed 2 games
for _ in range(2):
with open(games_path, "a") as f:
f.write(json.dumps({
"agent_name": "Bot", "agent_type": "RL", "opponent": "Normal",
"hf_username": "alice", "win": True, "kills_cost": 1000,
"deaths_cost": 500, "assets_value": 5000, "ticks": 2000,
}) + "\n")
with patch("app.GAMES_JSONL", games_path):
msg = _build_response("Bot", "RL", "Normal", "alice", "")
assert "2/5" in msg
assert "Play 3 more" in msg
# โโ Play tab (human-labeling machine) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
class TestPlayTab:
"""The Phase 2 'Play' tab helpers โ humans play the same scenarios
LLM agents are scored on, by clicking the minimap."""
def test_play_scenarios_lists_active_packs(self):
from app import _play_scenarios
scen = _play_scenarios()
assert isinstance(scen, list)
# The bench has 200 active packs; a non-empty list of ids.
assert len(scen) > 10
assert all(isinstance(s, str) for s in scen)
def test_play_status_md_no_session(self):
from app import _play_status_md
assert "pick a scenario" in _play_status_md(None).lower()
def test_play_briefing_md_no_session_is_empty(self):
from app import _play_briefing_md
assert _play_briefing_md(None, [], []) == ""
def test_play_start_rejects_empty_pack(self):
from app import _play_start
out = _play_start(None, "", "easy", 1)
# (sess, sel, queue, objective, img, brief, status, units)
assert len(out) == 8
sess, sel, queue, objective, img, brief, status, units = out
assert sess is None
assert sel == [] and queue == []
assert "scenario" in status.lower()
def test_play_clear_queue_empties_queue(self):
from app import _play_clear_queue
out = _play_clear_queue(None, ["1001"])
assert len(out) == 4 # (queue, brief, units_df, img)
queue = out[0]
assert queue == []
def test_play_clear_selection_empties_selection(self):
from app import _play_clear_selection
out = _play_clear_selection(None, [])
assert len(out) == 4 # (sel, brief, units_df, img)
sel = out[0]
assert sel == []
def test_play_objective_md_empty_without_session(self):
from app import _play_objective_md
assert _play_objective_md(None) == ""
def test_play_units_df_empty_without_session(self):
from app import _PLAY_UNIT_COLS, _play_units_df
df = _play_units_df(None, [])
assert list(df.columns) == _PLAY_UNIT_COLS
assert len(df) == 0
assert _PLAY_UNIT_COLS == [
"sel", "unit", "type", "cell", "hp", "status"
]
# โโ Scenarios tab (interactive catalog) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
class TestScenariosTab:
"""The Scenarios tab โ interactive catalog of all active packs."""
def test_catalog_df_returns_dataframe(self):
df = _scenarios_catalog_df()
assert isinstance(df, pd.DataFrame)
def test_catalog_df_has_expected_columns(self):
df = _scenarios_catalog_df()
for col in ("ID", "Title", "Capability", "Map",
"Real-World Meaning", "Robotics Analogue"):
assert col in df.columns, f"Missing column: {col}"
def test_catalog_df_has_active_packs(self):
df = _scenarios_catalog_df()
assert len(df) > 10, "Expected many active packs"
def test_catalog_df_only_active_packs(self):
df = _scenarios_catalog_df()
assert len(df) > 0
caps = set(df["Capability"].unique())
assert caps <= {"perception", "reasoning", "action", "adversarial"}
def test_filter_by_capability(self):
df = _scenarios_filter("", ["perception"])
assert len(df) > 0
assert all(df["Capability"] == "perception")
def test_filter_by_search(self):
df = _scenarios_filter("combat", [
"perception", "reasoning", "action", "adversarial"
])
assert len(df) > 0
for _, row in df.iterrows():
matched = (
"combat" in row["ID"].lower()
or "combat" in row["Title"].lower()
or "combat" in row["Real-World Meaning"].lower()
)
assert matched, f"Row {row['ID']} doesn't match 'combat'"
def test_filter_empty_capabilities_returns_empty(self):
df = _scenarios_filter("", [])
assert len(df) == 0
def test_filter_no_match_returns_empty(self):
df = _scenarios_filter("zzz_nonexistent_pack_zzz", [
"perception", "reasoning", "action", "adversarial"
])
assert len(df) == 0
def test_detail_md_no_selection(self):
md = _scenarios_detail_md("")
assert "select" in md.lower() or "Select" in md
def test_detail_md_nonexistent_pack(self):
md = _scenarios_detail_md("zzz-no-such-pack-zzz")
assert "not found" in md.lower()
def test_detail_md_valid_pack(self):
df = _scenarios_catalog_df()
if len(df) == 0:
pytest.skip("no packs available")
pack_id = df.iloc[0]["ID"]
md = _scenarios_detail_md(pack_id)
assert pack_id in md
assert "WIN WHEN" in md or "Levels" in md
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