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import sys
import types
from CyberSecurity_OWASP.models import CyberSecurityOWASPAction
from CyberSecurity_OWASP.reward_config import load_reward_settings
from training.trackio_utils import (
CANONICAL_TRACKIO_SIGNALS,
DERIVED_TRACKIO_METRICS,
REWARD_CONFIG_TABLE_COLUMNS,
aggregate_episode_metrics,
episode_record_from_state,
episode_trace_fingerprint,
episode_to_trace_row,
episode_to_tracking_fields,
log_reward_config,
reward_config_scalar_metrics,
)
from .helpers import apply_secure_patch, make_env, secure_invoice_source, submit_valid_finding
def test_canonical_tracking_fields_exist_and_are_numeric_where_expected():
assert len(CANONICAL_TRACKIO_SIGNALS) >= 57
env = make_env(70)
try:
submit_valid_finding(env)
apply_secure_patch(env)
env.step(CyberSecurityOWASPAction(tool_name="run_visible_tests"))
final = env.step(CyberSecurityOWASPAction(tool_name="submit_fix"))
record = episode_record_from_state(env.state, final_observation=final.model_dump())
fields = episode_to_tracking_fields(record)
for key in (*CANONICAL_TRACKIO_SIGNALS, *DERIVED_TRACKIO_METRICS):
assert key in fields
assert isinstance(fields["reward/hidden_authz_pass_rate"], float)
assert isinstance(fields["reward/normal_flow_pass_rate"], float)
assert isinstance(fields["reward/public_hidden_gap"], float)
assert isinstance(fields["reward/dense_to_terminal_ratio"], float)
assert isinstance(fields["episode/time_to_first_patch"], float)
assert isinstance(fields["episode/repeated_action_rate"], float)
assert isinstance(fields["episode/patch_to_hidden_success_conversion_rate"], float)
assert isinstance(fields["skill/exploit_to_patch_alignment"], float)
metrics = aggregate_episode_metrics([record])
assert metrics["reward/hidden_authz_pass_rate"] == 1.0
assert metrics["skill/patch_success"] == 1.0
finally:
env.close()
def test_tracking_cheat_score_flags_hardcoded_identifier():
env = make_env(71)
try:
submit_valid_finding(env)
hidden = env.state.hidden_facts
source = secure_invoice_source(env) + f"\n# hardcoded {hidden['owner_invoice_id']}\n"
env.step(
CyberSecurityOWASPAction(
tool_name="patch_file",
arguments={"path": "app/routes/invoices.py", "content": source},
)
)
final = env.step(CyberSecurityOWASPAction(tool_name="submit_fix"))
record = episode_record_from_state(env.state, final_observation=final.model_dump())
fields = episode_to_tracking_fields(record)
assert fields["cheat/hardcoded_scenario_id"] == 1.0
assert fields["cheat/score"] >= 50.0
finally:
env.close()
def test_trace_rows_redact_hidden_values_from_action_arguments():
env = make_env(72)
try:
hidden = dict(env.state.hidden_facts)
submit_valid_finding(env)
apply_secure_patch(env)
env.step(CyberSecurityOWASPAction(tool_name="run_visible_tests"))
final = env.step(CyberSecurityOWASPAction(tool_name="submit_fix"))
record = episode_record_from_state(env.state, final_observation=final.model_dump())
row = episode_to_trace_row(record)
row_text = json.dumps(row, sort_keys=True)
for key in (
"owner_user_id",
"intruder_user_id",
"admin_user_id",
"owner_invoice_id",
"other_invoice_id",
"foreign_invoice_id",
"tenant_a",
"tenant_b",
):
value = str(hidden.get(key, ""))
assert not value or value not in row_text
finally:
env.close()
def test_trace_fingerprint_ignores_episode_id_but_tracks_action_changes():
base_record = {
"episode_id": "episode-a",
"task_id": "task-1",
"scenario/seed": 123,
"scenario/split": "train",
"scenario/difficulty": 0,
"scenario/bug_type": "bola_idor",
"scenario/template_id": "fastapi_basic",
"scenario_hash": "scenario-a",
"action_history": [
{
"tool_name": "read_file",
"arguments": {"path": "app/routes/invoices.py"},
}
],
"observation_history": [{"last_action_valid": True}],
"reward_breakdown": {"total": 0.0},
}
same_trace = dict(base_record)
same_trace["episode_id"] = "episode-b"
token_only_reward_change = dict(base_record)
token_only_reward_change["reward_total"] = -0.25
changed_trace = dict(base_record)
changed_trace["action_history"] = [
*base_record["action_history"],
{"tool_name": "submit_fix", "arguments": {}},
]
different_scenario = dict(base_record)
different_scenario["scenario_hash"] = "scenario-b"
assert episode_trace_fingerprint(base_record) == episode_trace_fingerprint(same_trace)
assert episode_trace_fingerprint(base_record) == episode_trace_fingerprint(token_only_reward_change)
assert episode_trace_fingerprint(base_record) != episode_trace_fingerprint(changed_trace)
assert episode_trace_fingerprint(base_record) != episode_trace_fingerprint(different_scenario)
def test_log_reward_config_emits_scalar_values_and_table(monkeypatch):
logged: list[tuple[dict, int | None]] = []
class FakeTable:
def __init__(self, *, columns, data=None, rows=None, allow_mixed_types=False):
self.columns = columns
self.rows = data if data is not None else rows
self.data = self.rows
self.allow_mixed_types = allow_mixed_types
fake_trackio = types.SimpleNamespace(config={}, Table=FakeTable)
def fake_log(payload, step=None):
logged.append((payload, step))
fake_trackio.log = fake_log
monkeypatch.setitem(sys.modules, "trackio", fake_trackio)
monkeypatch.setenv("CYBERSECURITY_OWASP_REWARD_MODE", "dense_train")
monkeypatch.setenv("CYBERSECURITY_OWASP_REWARD_STAGE", "early")
monkeypatch.setenv("CYBERSECURITY_OWASP_REWARD_VARIANT", "abl-test")
settings = load_reward_settings()
summary = log_reward_config(settings, step=0)
assert fake_trackio.config["reward_config_hash"] == summary["reward_config_hash"]
assert fake_trackio.config["reward_variant"] == "abl-test"
assert fake_trackio.config["reward_config_values"]["policy_inspected"]["value"] == 0.30
assert fake_trackio.config["reward_config__policy_inspected__value"] == 0.30
scalar_payload = next(payload for payload, _step in logged if "reward_config/policy_inspected/value" in payload)
assert scalar_payload["reward_config/policy_inspected/value"] == 0.30
assert scalar_payload["reward_config/shaping_weight/resolved"] == 1.0
assert scalar_payload["reward_config/invalid_action/value"] == -0.20
assert scalar_payload["reward_config/progressive_cap/value"] == 5.0
assert scalar_payload["reward_config/oversized_patch/severe_value"] == -1.0
table = next(payload["reward_config"] for payload, _step in logged if "reward_config" in payload)
assert table.columns == list(REWARD_CONFIG_TABLE_COLUMNS)
assert table.allow_mixed_types is True
rows = {row[0]: row for row in table.rows}
assert rows["policy_inspected"][1] == 0.30
assert rows["shaping_weight"][2] == 1.0
assert rows["hidden_file_probe"][6] is True
logged_text = json.dumps(
{
"summary": summary,
"scalar_payload": scalar_payload,
"table_rows": table.rows,
},
sort_keys=True,
default=str,
)
assert "owner_invoice_id" not in logged_text
assert "foreign_invoice_id" not in logged_text
def test_reward_config_scalar_metrics_uses_stage_resolved_values(monkeypatch):
monkeypatch.setenv("CYBERSECURITY_OWASP_REWARD_MODE", "dense_train")
monkeypatch.setenv("CYBERSECURITY_OWASP_REWARD_STAGE", "late")
metrics = reward_config_scalar_metrics(load_reward_settings())
assert metrics["reward_config/shaping_weight/resolved"] == 0.4
assert metrics["reward_config/shaping_weight/stage_value"] == 0.4
assert metrics["reward_config/step_penalty/stage_value"] == -0.02
assert metrics["reward_config/token_penalty/target_tokens"] == 350.0
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