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0bd7547 754345f 0bd7547 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 | import json
from agent.core.session_uploader import (
_PERSONAL_TOKEN_ENV,
_resolve_token,
_update_upload_status,
_upload_dataset_card,
_write_claude_code_payload,
_write_row_payload,
dataset_card_readme,
to_claude_code_jsonl,
)
HF_SECRET = "hf_" + "a" * 30
ANTHROPIC_SECRET = "sk-ant-" + "b" * 24
GITHUB_SECRET = "ghp_" + "c" * 36
def test_dataset_card_readme_has_metadata_and_public_warning():
readme = dataset_card_readme("lewtun/ml-intern-sessions")
assert readme.startswith("---\n")
assert 'pretty_name: "ML Intern Session Traces"' in readme
assert "task_categories:\n- text-generation" in readme
assert "- agent-traces" in readme
assert "- coding-agent" in readme
assert "- ml-intern" in readme
assert 'path: "sessions/**/*.jsonl"' in readme
assert "ML Intern demo: https://smolagents-ml-intern.hf.space" in readme
assert "ML Intern CLI: https://github.com/huggingface/ml-intern" in readme
assert "Repository: https://huggingface.co/datasets/" not in readme
assert (
"**WARNING: no comprehensive redaction or human review has been performed for this dataset.**"
in readme
)
assert "automated best-effort scrubbing" in readme
assert "Do not make this dataset public" in readme
def test_upload_dataset_card_only_for_claude_code_format():
class FakeApi:
def __init__(self):
self.calls = []
def upload_file(self, **kwargs):
self.calls.append(kwargs)
api = FakeApi()
_upload_dataset_card(api, "lewtun/ml-intern-sessions", "hf_token", "row")
assert api.calls == []
_upload_dataset_card(api, "lewtun/ml-intern-sessions", "hf_token", "claude_code")
assert len(api.calls) == 1
assert api.calls[0]["path_in_repo"] == "README.md"
assert api.calls[0]["repo_id"] == "lewtun/ml-intern-sessions"
assert api.calls[0]["repo_type"] == "dataset"
assert api.calls[0]["token"] == "hf_token"
assert (
b"no comprehensive redaction or human review" in api.calls[0]["path_or_fileobj"]
)
def test_personal_token_env_takes_precedence_for_hf_token(monkeypatch):
monkeypatch.setenv(_PERSONAL_TOKEN_ENV, "personal-token")
monkeypatch.setenv("HF_TOKEN", "env-token")
assert _resolve_token("HF_TOKEN") == "personal-token"
def test_update_upload_status_preserves_other_uploader_fields(tmp_path):
session_file = tmp_path / "session_123.json"
session_file.write_text(
json.dumps(
{
"session_id": "123",
"upload_status": "success",
"upload_url": "https://huggingface.co/datasets/org/sessions",
"personal_upload_status": "pending",
}
)
)
_update_upload_status(
str(session_file),
"personal_upload_status",
"personal_upload_url",
"success",
"https://huggingface.co/datasets/user/ml-intern-sessions",
)
data = json.loads(session_file.read_text())
assert data["upload_status"] == "success"
assert data["upload_url"] == "https://huggingface.co/datasets/org/sessions"
assert data["personal_upload_status"] == "success"
assert (
data["personal_upload_url"]
== "https://huggingface.co/datasets/user/ml-intern-sessions"
)
def test_claude_code_jsonl_uses_message_timestamps():
events = to_claude_code_jsonl(
{
"session_id": "session-123",
"model_name": "anthropic/claude-opus-4-6",
"session_start_time": "2026-01-01T00:00:00",
"messages": [
{
"role": "user",
"content": "hello",
"timestamp": "2026-01-01T00:00:01",
},
{
"role": "assistant",
"content": "hi",
"timestamp": "2026-01-01T00:00:02",
},
{
"role": "tool",
"tool_call_id": "call-1",
"content": "ok",
"timestamp": "2026-01-01T00:00:03",
},
],
}
)
assert [event["timestamp"] for event in events] == [
"2026-01-01T00:00:01",
"2026-01-01T00:00:02",
"2026-01-01T00:00:03",
]
def test_row_payload_scrubs_messages_events_and_tools(tmp_path):
tmp_file = tmp_path / "row.jsonl"
data = {
"session_id": "session-123",
"user_id": "lewtun",
"session_start_time": "2026-01-01T00:00:00",
"session_end_time": "2026-01-01T00:00:03",
"model_name": "anthropic/claude-opus-4-6",
"total_cost_usd": 0.01,
"messages": [{"role": "user", "content": f"token {HF_SECRET}"}],
"events": [{"type": "debug", "content": f"key {ANTHROPIC_SECRET}"}],
"tools": [{"name": "bash", "env": f"GITHUB_TOKEN={GITHUB_SECRET}"}],
}
_write_row_payload(data, str(tmp_file))
payload = tmp_file.read_text()
assert HF_SECRET not in payload
assert ANTHROPIC_SECRET not in payload
assert GITHUB_SECRET not in payload
assert "[REDACTED_HF_TOKEN]" in payload
assert "[REDACTED_ANTHROPIC_KEY]" in payload
assert "GITHUB_TOKEN=[REDACTED]" in payload
def test_claude_code_payload_scrubs_messages_before_conversion(tmp_path):
tmp_file = tmp_path / "claude_code.jsonl"
data = {
"session_id": "session-123",
"model_name": "anthropic/claude-opus-4-6",
"session_start_time": "2026-01-01T00:00:00",
"messages": [
{
"role": "user",
"content": f"token {HF_SECRET}",
"timestamp": "2026-01-01T00:00:01",
},
{
"role": "assistant",
"content": "running tool",
"tool_calls": [
{
"id": "call-1",
"function": {
"name": "bash",
"arguments": json.dumps({"key": ANTHROPIC_SECRET}),
},
}
],
"timestamp": "2026-01-01T00:00:02",
},
{
"role": "tool",
"tool_call_id": "call-1",
"content": f"GITHUB_TOKEN={GITHUB_SECRET}",
"timestamp": "2026-01-01T00:00:03",
},
],
}
_write_claude_code_payload(data, str(tmp_file))
payload = tmp_file.read_text()
assert HF_SECRET not in payload
assert ANTHROPIC_SECRET not in payload
assert GITHUB_SECRET not in payload
assert "[REDACTED_HF_TOKEN]" in payload
assert "[REDACTED_ANTHROPIC_KEY]" in payload
assert "GITHUB_TOKEN=[REDACTED]" in payload
|