testsAndMisc/python_pkg/token_dashboard/tests/test_ab_build.py
Krzysztof kuhy Rudnicki 9cb4c81322
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token_audit: USD per todo note; build A/B meta
Links sessions to todo notes (note_claim.sh, todo-images prompts,
fuzzy first prompt >= 0.5, handoff chains), dates completions from
the status HLC in the first Firebase dump, and adds usd_per_note,
note_linked_usd_share, notes_done(_linked) to the snapshot, a WEEKLY
section and notes.json. token_dashboard stores the build-class A/B
(agent-ab-build.jsonl) as meta ab_build.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01WzxdWWMeapxnDcgk7HSw67
2026-11-01 19:24:21 +01:00

70 lines
2.5 KiB
Python

"""The build-class A/B (agent-ab-build.jsonl) is summarised on its own."""
from __future__ import annotations
import json
from typing import TYPE_CHECKING
from python_pkg.token_dashboard import ab, ingest, schema
from python_pkg.token_dashboard.tests.conftest import assistant, prompt, result, use
from python_pkg.token_dashboard.tests.conftest import write as write_jsonl
if TYPE_CHECKING:
from pathlib import Path
def _store(tmp_path: Path) -> Path:
root = tmp_path / "projects"
write_jsonl(
root / "p" / "s1.jsonl",
[
prompt("go", 0),
assistant("m1", 1, blocks=[use("t1", "Agent", description="Build x")]),
result("t1", 50, "done", toolUseResult={"agentId": "abc"}),
assistant("m2", 60, blocks=[use("t2", "Agent", description="Review y")]),
result("t2", 70, "done", toolUseResult={"agentId": "def"}),
],
)
db = tmp_path / "t.sqlite"
ingest.run(root, db, tmp_path / "report", 30.0)
return db
def _log(path: Path, rows: list[dict[str, str]]) -> Path:
path.write_text("\n".join(json.dumps(r) for r in rows), encoding="utf-8")
return path
def test_build_log_lands_in_its_own_meta_row(tmp_path: Path) -> None:
conn = schema.connect(_store(tmp_path))
judgment = _log(
tmp_path / "agent-ab.jsonl",
[{"tool_use_id": "t2", "arm": "opus", "class": "review"}],
)
build = _log(
tmp_path / "agent-ab-build.jsonl",
[{"tool_use_id": "t1", "arm": "sonnet", "class": "build"}],
)
ab.rebuild(conn, judgment, build)
stored = {
k: json.loads(v)
for k, v in conn.execute("SELECT key, value FROM meta WHERE key LIKE 'ab%'")
}
rows = conn.execute("SELECT tool_use_id FROM ab_rows").fetchall()
conn.close()
assert stored["ab"]["arms"]["opus"]["n"] == 1
assert stored["ab"]["arms"]["sonnet"]["n"] == 0
assert stored["ab_build"]["arms"]["sonnet"]["n"] == 1
assert stored["ab_build"]["arms"]["opus"]["n"] == 0
assert stored["ab_build"]["banner"]["text"].startswith("A/B build agents")
assert stored["ab"]["banner"]["text"].startswith("A/B judgment agents")
assert rows == [("t2",)]
def test_missing_build_log_stores_an_empty_summary(tmp_path: Path) -> None:
conn = schema.connect(_store(tmp_path))
ab.rebuild(conn, tmp_path / "none.jsonl", tmp_path / "none-build.jsonl")
raw = conn.execute("SELECT value FROM meta WHERE key = 'ab_build'").fetchone()
conn.close()
assert json.loads(raw[0])["arms"]["sonnet"]["n"] == 0