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import json
import sqlite3
import tempfile
import unittest
from datetime import datetime
from pathlib import Path
from zoneinfo import ZoneInfo
from codex_usage_profiler.core import build_report
from codex_usage_profiler.render import render_html, render_markdown
class UsageProfilerTests(unittest.TestCase):
def test_aggregates_threads_edges_and_rollout_breakdowns(self) -> None:
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp)
state = root / "state_5.sqlite"
sessions_dir = root / "sessions"
sessions_dir.mkdir()
main_rollout = sessions_dir / "rollout-main.jsonl"
child_rollout = sessions_dir / "rollout-child.jsonl"
_write_rollout(
main_rollout,
[
{"type": "turn_context", "payload": {"model": "gpt-5.4", "cwd": "/home/test/project"}},
{"type": "event_msg", "payload": {"type": "task_started"}},
{
"type": "event_msg",
"payload": {
"type": "token_count",
"info": {
"total_token_usage": {
"input_tokens": 70,
"cached_input_tokens": 20,
"output_tokens": 25,
"reasoning_output_tokens": 5,
"total_tokens": 100,
}
},
},
},
],
malformed=True,
)
_write_rollout(
child_rollout,
[
{"type": "turn_context", "payload": {"model": "gpt-5.4-mini", "cwd": "/home/test/project"}},
{
"type": "event_msg",
"payload": {
"type": "token_count",
"info": {
"total_token_usage": {
"input_tokens": 35,
"cached_input_tokens": 10,
"output_tokens": 12,
"reasoning_output_tokens": 3,
"total_tokens": 50,
}
},
},
},
],
)
_create_state(
state,
[
{
"id": "main",
"rollout_path": str(main_rollout),
"created_at_ms": _epoch_ms("2026-04-20T22:30:00+00:00"),
"updated_at_ms": _epoch_ms("2026-04-20T23:00:00+00:00"),
"model_provider": "openai",
"cwd": "/home/test/project",
"title": "Main work",
"tokens_used": 100,
"agent_nickname": "",
"agent_role": "",
"model": None,
},
{
"id": "child",
"rollout_path": str(child_rollout),
"created_at_ms": _epoch_ms("2026-04-21T10:00:00+00:00"),
"updated_at_ms": _epoch_ms("2026-04-21T10:05:00+00:00"),
"model_provider": "openai",
"cwd": "/home/test/project",
"title": "Explore",
"tokens_used": 50,
"agent_nickname": "Noether",
"agent_role": "explorer",
"model": "gpt-5.4-mini",
},
],
[("main", "child")],
)
report = build_report(
state_path=state,
sessions_dir=sessions_dir,
tz_name="Europe/Berlin",
now=datetime(2026, 4, 22, 12, tzinfo=ZoneInfo("Europe/Berlin")),
)
self.assertEqual(report.total_tokens, 150)
self.assertEqual(report.daily[0].label, "2026-04-21")
self.assertEqual(report.daily[0].tokens, 150)
self.assertEqual(report.weekly[0].label, "2026-W17")
self.assertEqual({bucket.label: bucket.tokens for bucket in report.by_kind}, {"main": 100, "subagent": 50})
self.assertEqual({bucket.label: bucket.tokens for bucket in report.by_role}, {"main": 100, "explorer": 50})
self.assertEqual({bucket.label: bucket.tokens for bucket in report.by_model}, {"gpt-5.4": 100, "gpt-5.4-mini": 50})
self.assertEqual(report.rollout_totals.total_tokens, 150)
self.assertEqual(report.rollout_totals.cached_input_tokens, 30)
self.assertEqual(len(report.warnings), 1)
def test_days_filter_uses_local_calendar_days(self) -> None:
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp)
state = root / "state_5.sqlite"
sessions_dir = root / "sessions"
sessions_dir.mkdir()
_create_state(
state,
[
{
"id": "old",
"rollout_path": "",
"created_at_ms": _epoch_ms("2026-04-18T12:00:00+00:00"),
"updated_at_ms": _epoch_ms("2026-04-18T12:00:00+00:00"),
"model_provider": "openai",
"cwd": "/tmp/a",
"title": "Old",
"tokens_used": 99,
"agent_nickname": "",
"agent_role": "",
"model": "gpt-5.4",
},
{
"id": "new",
"rollout_path": "",
"created_at_ms": _epoch_ms("2026-04-21T12:00:00+00:00"),
"updated_at_ms": _epoch_ms("2026-04-21T12:00:00+00:00"),
"model_provider": "openai",
"cwd": "/tmp/a",
"title": "New",
"tokens_used": 10,
"agent_nickname": "",
"agent_role": "",
"model": "gpt-5.4",
},
],
[],
)
report = build_report(
state_path=state,
sessions_dir=sessions_dir,
tz_name="Europe/Berlin",
days=2,
now=datetime(2026, 4, 22, 12, tzinfo=ZoneInfo("Europe/Berlin")),
)
self.assertEqual(len(report.sessions), 1)
self.assertEqual(report.sessions[0].thread_id, "new")
self.assertEqual(report.total_tokens, 10)
def test_renderers_include_expected_sections_and_escape_html(self) -> None:
with tempfile.TemporaryDirectory() as tmp:
root = Path(tmp)
state = root / "state_5.sqlite"
sessions_dir = root / "sessions"
sessions_dir.mkdir()
_create_state(
state,
[
{
"id": "s1",
"rollout_path": "",
"created_at_ms": _epoch_ms("2026-04-21T12:00:00+00:00"),
"updated_at_ms": _epoch_ms("2026-04-21T12:00:00+00:00"),
"model_provider": "openai",
"cwd": "/tmp/a",
"title": "<unsafe>",
"tokens_used": 10,
"agent_nickname": "",
"agent_role": "",
"model": "gpt-5.4",
}
],
[],
)
report = build_report(
state_path=state,
sessions_dir=sessions_dir,
tz_name="Europe/Berlin",
now=datetime(2026, 4, 22, 12, tzinfo=ZoneInfo("Europe/Berlin")),
)
markdown = render_markdown(report)
html = render_html(report)
self.assertIn("## Daily Tokens", markdown)
self.assertIn("## Top Sessions", markdown)
self.assertNotIn("<unsafe>", html)
self.assertNotIn("<unsafe>", html)
def _create_state(state: Path, rows: list[dict[str, object]], edges: list[tuple[str, str]]) -> None:
with sqlite3.connect(state) as conn:
conn.execute(
"""
CREATE TABLE threads (
id TEXT PRIMARY KEY,
rollout_path TEXT NOT NULL,
created_at INTEGER NOT NULL,
updated_at INTEGER NOT NULL,
created_at_ms INTEGER,
updated_at_ms INTEGER,
model_provider TEXT NOT NULL,
cwd TEXT NOT NULL,
title TEXT NOT NULL,
tokens_used INTEGER NOT NULL,
agent_nickname TEXT,
agent_role TEXT,
model TEXT
)
"""
)
conn.execute(
"""
CREATE TABLE thread_spawn_edges (
parent_thread_id TEXT NOT NULL,
child_thread_id TEXT NOT NULL PRIMARY KEY
)
"""
)
for row in rows:
conn.execute(
"""
INSERT INTO threads (
id,
rollout_path,
created_at,
updated_at,
created_at_ms,
updated_at_ms,
model_provider,
cwd,
title,
tokens_used,
agent_nickname,
agent_role,
model
)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
row["id"],
row["rollout_path"],
int(row["created_at_ms"]) // 1000,
int(row["updated_at_ms"]) // 1000,
row["created_at_ms"],
row["updated_at_ms"],
row["model_provider"],
row["cwd"],
row["title"],
row["tokens_used"],
row["agent_nickname"],
row["agent_role"],
row["model"],
),
)
for parent, child in edges:
conn.execute(
"INSERT INTO thread_spawn_edges (parent_thread_id, child_thread_id) VALUES (?, ?)",
(parent, child),
)
def _write_rollout(path: Path, events: list[dict[str, object]], malformed: bool = False) -> None:
with path.open("w", encoding="utf-8") as handle:
for event in events:
handle.write(json.dumps(event) + "\n")
if malformed:
handle.write("{not-json\n")
def _epoch_ms(value: str) -> int:
return int(datetime.fromisoformat(value).timestamp() * 1000)
if __name__ == "__main__":
unittest.main()
|