feat(eval): LLM-as-judge evaluators, dataset item fixes, and Experiments runs #13

Merged
gitea_admin merged 6 commits from fix/dataset-item-url-safe-ids into main 2026-08-31 18:34:03 +00:00
2 changed files with 110 additions and 1 deletions
Showing only changes of commit 1534a99630 - Show all commits
+15 -1
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@@ -111,6 +111,20 @@ def ensure_score_configs() -> dict:
# 2. Dataset from recorded reviews
# ---------------------------------------------------------------------------
def item_id(repo: str, pr) -> str:
"""A dataset-item id that survives being put in a URL path.
The obvious `{repo}#{pr}` is unusable: the UI routes items as
`/datasets/{id}/items/{item_id}`, so the `/` in `owner/repo` splits into
extra path segments and everything after the `#` is a fragment the browser
never sends. The item is created fine and then 404s when opened.
Session ids elsewhere keep the `{repo}#{pr}` form — those are never path
segments, and `feedback_scores` depends on that shape.
"""
return f"{repo.replace('/', '__')}__pr{pr}"
def read_review_items(db_path: str) -> list[dict]:
"""One dataset item per (repo, pr) the reviewer has run on.
@@ -140,7 +154,7 @@ def read_review_items(db_path: str) -> list[dict]:
).fetchall()
items.append(
{
"id": f'{row["repo"]}#{row["pr"]}',
"id": item_id(row["repo"], row["pr"]),
"input": {
"repo": row["repo"],
"pr": int(row["pr"]),
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@@ -0,0 +1,95 @@
"""Tests for the eval bootstrap's dataset-item construction."""
import os
import sqlite3
import sys
import urllib.parse
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "pilot"))
import eval_bootstrap as eb # noqa: E402
# --- item_id --------------------------------------------------------------
def test_item_id_has_no_path_separator():
"""A `/` would split the UI's item route into extra path segments."""
assert "/" not in eb.item_id("netcracker/interview", 29)
def test_item_id_has_no_fragment_marker():
"""Everything after a `#` is a fragment the browser never sends."""
assert "#" not in eb.item_id("netcracker/interview", 29)
def test_item_id_survives_a_url_round_trip():
"""The id must appear verbatim in a path, needing no percent-encoding."""
ident = eb.item_id("netcracker/interview", 29)
assert urllib.parse.quote(ident, safe="") == ident
def test_item_id_keeps_repo_and_pr_readable():
assert eb.item_id("netcracker/interview", 29) == "netcracker__interview__pr29"
def test_item_id_is_unique_per_pr():
assert eb.item_id("o/r", 1) != eb.item_id("o/r", 2)
def test_item_id_is_unique_per_repo():
assert eb.item_id("o/one", 1) != eb.item_id("o/two", 1)
def test_item_id_accepts_a_string_pr():
assert eb.item_id("o/r", "29") == eb.item_id("o/r", 29)
# --- read_review_items ----------------------------------------------------
def _db(tmp_path, rows, findings=()):
path = str(tmp_path / "feedback.db")
conn = sqlite3.connect(path)
conn.execute(
"CREATE TABLE review (repo TEXT, pr INTEGER, posted_at INTEGER, head_sha TEXT)"
)
conn.execute(
"CREATE TABLE inline_finding (repo TEXT, pr INTEGER, path TEXT, line INTEGER,"
" severity TEXT, problem TEXT, fix TEXT)"
)
conn.executemany("INSERT INTO review VALUES (?,?,?,?)", rows)
conn.executemany("INSERT INTO inline_finding VALUES (?,?,?,?,?,?,?)", findings)
conn.commit()
conn.close()
return path
def test_items_use_url_safe_ids(tmp_path):
path = _db(tmp_path, [("netcracker/interview", 29, 100, "abc")])
items = eb.read_review_items(path)
assert [i["id"] for i in items] == ["netcracker__interview__pr29"]
def test_item_input_keeps_the_real_repo_name(tmp_path):
"""The id is mangled for the URL; the payload must stay faithful."""
path = _db(tmp_path, [("netcracker/interview", 29, 100, "abc")])
item = eb.read_review_items(path)[0]
assert item["input"]["repo"] == "netcracker/interview"
assert item["input"]["pr"] == 29
def test_one_item_per_pr_not_per_review(tmp_path):
path = _db(
tmp_path,
[
("o/r", 1, 100, "a"),
("o/r", 1, 200, "b"),
("o/r", 2, 300, "c"),
],
)
items = eb.read_review_items(path)
assert [i["id"] for i in items] == ["o__r__pr1", "o__r__pr2"]
assert items[0]["metadata"]["reviews_run"] == 2
def test_items_are_not_flagged_as_human_labelled(tmp_path):
path = _db(tmp_path, [("o/r", 1, 100, "a")])
assert eb.read_review_items(path)[0]["metadata"]["labelled_by_human"] is False