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Running on Zero
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from pathlib import Path
from scripts.publish_codex_trace_dataset import RedactionResult, TextCaps, build_dataset
class FakePrivacyRedactor:
def redact_many(self, texts: list[str]) -> list[RedactionResult]:
results: list[RedactionResult] = []
for text in texts:
count = text.count("Alice Smith") + text.count("alice@example.com")
redacted = text.replace("Alice Smith", "[PRIVATE_PERSON]")
redacted = redacted.replace("alice@example.com", "[PRIVATE_EMAIL]")
labels = {"PRIVATE": count} if count else {}
results.append(RedactionResult(text=redacted, count=count, labels=labels))
return results
def write_jsonl(path: Path, records: list[dict]) -> None:
path.write_text(
"\n".join(json.dumps(record, ensure_ascii=False) for record in records) + "\n",
encoding="utf-8",
)
def test_codex_trace_dataset_selects_minimizes_and_redacts(tmp_path: Path) -> None:
project_root = tmp_path / "hackathon-advisor"
project_root.mkdir()
session_root = tmp_path / "sessions"
session_root.mkdir()
session_file = session_root / "rollout-test.jsonl"
home_secret_path = str(Path.home() / "Documents" / "private-note.txt")
token = "hf_" + "a" * 24
write_jsonl(
session_file,
[
{
"type": "session_meta",
"timestamp": "2026-06-08T00:00:00Z",
"payload": {
"id": "session-1",
"cwd": str(project_root),
"originator": "Codex Desktop",
"base_instructions": {"do_not_publish": True},
"dynamic_tools": ["internal"],
"git": {"repository_url": "https://github.com/example/hackathon-advisor.git"},
},
},
{
"type": "turn_context",
"timestamp": "2026-06-08T00:00:01Z",
"payload": {
"turn_id": "turn-1",
"cwd": str(project_root),
"workspace_roots": [str(project_root)],
"collaboration_mode": {"mode": "default", "settings": "internal"},
},
},
{
"type": "event_msg",
"timestamp": "2026-06-08T00:00:02Z",
"payload": {
"type": "user_message",
"turn_id": "turn-1",
"message": (
f"Help Alice Smith at alice@example.com using {home_secret_path} "
f"and HF_TOKEN={token}"
),
},
},
{
"type": "response_item",
"timestamp": "2026-06-08T00:00:03Z",
"payload": {
"type": "message",
"role": "developer",
"content": [{"type": "input_text", "text": "internal prompt"}],
},
},
{
"type": "response_item",
"timestamp": "2026-06-08T00:00:04Z",
"payload": {
"type": "message",
"role": "user",
"content": [
{
"type": "input_text",
"text": (
f"Help Alice Smith at alice@example.com using {home_secret_path} "
f"and HF_TOKEN={token}"
),
}
],
},
},
{
"type": "response_item",
"timestamp": "2026-06-08T00:00:05Z",
"payload": {
"type": "function_call",
"name": "exec_command",
"arguments": json.dumps({"cmd": "pytest", "workdir": str(project_root)}),
"call_id": "call-1",
},
},
{
"type": "response_item",
"timestamp": "2026-06-08T00:00:06Z",
"payload": {
"type": "function_call_output",
"call_id": "call-1",
"output": "0123456789" * 12,
},
},
{
"type": "compacted",
"timestamp": "2026-06-08T00:00:07Z",
"payload": {"replacement_history": ["internal"]},
},
],
)
out_dir = tmp_path / "dataset"
manifest = build_dataset(
project_root=project_root,
session_roots=[session_root],
include_terms=[],
out_dir=out_dir,
redactor=FakePrivacyRedactor(),
privacy_model_id="openai/privacy-filter",
privacy_model_revision="test",
privacy_device="test",
min_score=0.5,
record_batch_size=2,
text_caps=TextCaps(
message=200,
tool_argument=200,
tool_output=80,
other=200,
),
)
rows = [
json.loads(line)
for line in (out_dir / "codex_sessions.jsonl").read_text(encoding="utf-8").splitlines()
]
dataset_text = "\n".join(json.dumps(row, ensure_ascii=False) for row in rows)
assert manifest["selected_session_count"] == 1
assert manifest["published_record_count"] == 5
assert manifest["dropped_record_count"] == 3
assert manifest["redaction_count"] == 2
assert manifest["truncated_field_count"] == 1
assert manifest["truncated_char_count"] > 0
assert len(manifest["sessions"][0]["source_sha256"]) == 64
assert all(row["session_id"] == "session-1" for row in rows)
assert "$PROJECT_ROOT" in dataset_text
assert str(project_root) not in dataset_text
assert str(Path.home()) not in dataset_text
assert token not in dataset_text
assert "base_instructions" not in dataset_text
assert "dynamic_tools" not in dataset_text
assert "internal prompt" not in dataset_text
assert "replacement_history" not in dataset_text
assert "role" not in dataset_text
assert "alice@example.com" not in dataset_text
assert "Alice Smith" not in dataset_text
assert "[PRIVATE_EMAIL]" in dataset_text
assert "[PRIVATE_PERSON]" in dataset_text
assert "[truncated" in dataset_text
def test_build_dataset_redacts_caller_home_when_run_home_differs(tmp_path: Path, monkeypatch) -> None:
# Simulates the Modal container, where Path.home() is /root rather than the user's
# machine. The caller's real home must travel via path_redaction_prefixes to be redacted;
# this guards the unified --location code path that passes [project, caller-home] on both lanes.
project_root = tmp_path / "hackathon-advisor"
project_root.mkdir()
session_root = tmp_path / "sessions"
session_root.mkdir()
caller_home = "/home/realuser"
secret_path = f"{caller_home}/Documents/private-note.txt"
write_jsonl(
session_root / "rollout-test.jsonl",
[
{
"type": "session_meta",
"timestamp": "2026-06-08T00:00:00Z",
"payload": {
"id": "session-1",
"cwd": str(project_root),
"git": {"repository_url": "https://github.com/example/hackathon-advisor.git"},
},
},
{
"type": "event_msg",
"timestamp": "2026-06-08T00:00:01Z",
"payload": {
"type": "user_message",
"turn_id": "turn-1",
"message": f"please open {secret_path} for the hackathon-advisor project",
},
},
],
)
# Container home differs from the caller's real home.
monkeypatch.setattr(Path, "home", staticmethod(lambda: Path("/root")))
out_dir = tmp_path / "dataset"
manifest = build_dataset(
project_root=project_root,
session_roots=[session_root],
include_terms=[],
out_dir=out_dir,
redactor=FakePrivacyRedactor(),
privacy_model_id="openai/privacy-filter",
privacy_model_revision="test",
privacy_device="test",
min_score=0.5,
record_batch_size=2,
text_caps=TextCaps(message=200, tool_argument=200, tool_output=80, other=200),
path_redaction_prefixes=[caller_home, str(project_root)],
)
dataset_text = (out_dir / "codex_sessions.jsonl").read_text(encoding="utf-8")
assert manifest["published_record_count"] >= 1
assert caller_home not in dataset_text
assert "~/Documents/private-note.txt" in dataset_text
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