Files
siftlode/backend/tests/test_feed_relevance_window.py
T
peter 4aaaaa7860 chore(comments): drop epic, sprint and review-round ids from the code
The code cited its plan instead of saying why: `E28 review J4`, `(R6 S3b)`, `S1 justified…`,
`deep-review round 5`. That plan lives in the private ops repo, so for every reader of this one the
citation was noise, and a sentence whose subject was the plan step ("round 2 showed…") hid its
lesson behind an id. Each one is gone and the "why" kept: a bare citation is deleted, a sentence
carrying a lesson is reworded around it ("a later attempt showed…").

Measured (`scripts/audit_metrics.py`, product code): 652 lines in 270 files carried an epic code by
the definition the next commit holds (507 / 241 by the old, two-digit-only one) -> 0. Across all
code, tests, scripts and configs: ~1100 epic-code lines plus ~320 sprint/round ids.

Behaviour unchanged, checked mechanically: every changed .py file has the same AST once docstrings
are blanked; css/sh/toml/yml/json files are identical once comments are stripped; the only
non-comment changes in TS/JS are test titles, one description string in a contract table, and five
ESLint messages, whose text is all the gates snapshot diff holds. Not touched: Markdown (docs and
the changelog keep their history), Alembic migrations, TV episode notation (`S2 · E5`), DESIGN.md
ids (`C1`, `B4`, `S3h`), tracker ids (`SEC-16`, `DX-17`).

One stale claim fixed on the way: test_hls_reaper's docstring said the player checkpoints "every
10 s whether or not it is playing", which plex/stream.py calls wrong; it now says what the code does.
2026-10-05 00:19:39 +02:00

134 lines
4.8 KiB
Python

"""Relevance ranks only the newest RANK_WINDOW matches, DB-lane.
A broad word ("a") matched most of the prod library and ts_rank read every match's tsvector: 6.8 s a page.
The ranking now covers the newest RANK_WINDOW matches and the rest follow newest first. The window's start
rides the cursor, so a video ingested mid-scroll cannot push a row behind the cursor and repeat it.
"""
import base64
import json
from datetime import datetime, timezone
import pytest
from app import feedquery
from app.models import Channel, Subscription, User, Video
def _video(vid: str, day: int, title: str) -> Video:
return Video(
id=vid,
channel_id="UCw",
published_at=datetime(2024, 1, day, tzinfo=timezone.utc),
title=title,
is_short=False,
live_status="none",
via_search=False,
via_explore=False,
)
def _seed(db) -> User:
db.add(Channel(id="UCw", title="Window"))
user = User(email="window@example.com", email_verified=True)
db.add(user)
db.flush()
db.add(Subscription(user_id=user.id, channel_id="UCw", priority=0, hidden=False))
# m1 is the oldest and the strongest match, m4 the strongest of the newest three; the rest tie on one
# title "foo" each (ts_rank counts occurrences, it does not normalise by length).
db.add_all(
[
_video("m1", 1, "foo foo foo foo foo"),
_video("m2", 2, "foo and some other words here"),
_video("m3", 3, "foo plus some filler words"),
_video("m4", 4, "foo foo foo"),
_video("m5", 5, "foo with a longer title"),
_video("m6", 6, "foo with yet another title"),
]
)
db.commit()
return user
def _ids(client, cursor=None, limit=50):
url = f"/api/feed?q=foo&sort=relevance&limit={limit}"
if cursor:
url += f"&cursor={cursor}"
resp = client.get(url)
assert resp.status_code == 200, resp.text
body = resp.json()
return [it["id"] for it in body["items"]], body["next_cursor"]
def test_a_specific_word_ranks_every_match(db, as_user):
client = as_user(_seed(db))
ids, _ = _ids(client)
assert ids[:2] == ["m1", "m4"], ids
def test_a_broad_word_ranks_the_newest_window_and_the_rest_follow_newest_first(
db, as_user, monkeypatch
):
monkeypatch.setattr(feedquery, "RANK_WINDOW", 3)
client = as_user(_seed(db))
ids, _ = _ids(client)
assert ids[0] == "m4", ids # the strongest of the newest three
assert sorted(ids[:3]) == ["m4", "m5", "m6"], ids
assert ids[3:] == ["m3", "m2", "m1"], ids # past the window: newest first, m1 not ranked
def test_paging_keeps_the_window_page_one_ranked_against(db, as_user, monkeypatch):
monkeypatch.setattr(feedquery, "RANK_WINDOW", 3)
client = as_user(_seed(db))
full, _ = _ids(client)
first, cursor = _ids(client, limit=2)
assert first == full[:2]
# A newer match lands mid-scroll. Ranked against a recomputed window, m4 (shown on page one) would
# fall out of it to rank 0, sort behind the cursor and come back on page two.
db.add(_video("m7", 7, "foo arriving while the reader scrolls"))
db.commit()
walked = list(first)
while cursor:
page, cursor = _ids(client, cursor, limit=2)
walked.extend(page)
assert len(walked) == len(set(walked)), walked
assert set(full) <= set(walked), walked
@pytest.mark.parametrize(
("window", "limit"),
# 3: the page is read as its two halves (the window ranked, the rest newest first), and pages of 2
# and 3 cross the window's edge mid-page and exactly at it. 2000: one ranked query.
[(3, 2), (3, 3), (2000, 2)],
)
def test_cursor_walk_matches_the_unpaged_order(db, as_user, monkeypatch, window, limit):
monkeypatch.setattr(feedquery, "RANK_WINDOW", window)
client = as_user(_seed(db))
full, _ = _ids(client)
if window == 3:
assert full == ["m4", "m6", "m5", "m3", "m2", "m1"]
walked, cursor = _ids(client, limit=limit)
while cursor:
page, cursor = _ids(client, cursor, limit=limit)
walked.extend(page)
assert walked == full
@pytest.mark.parametrize(
"payload",
[
{"k": [5, None], "id": "m1", "w": "2024-01-01T00:00:00+00:00"}, # null published_at
{"k": [5, "2024-01-03T00:00:00+00:00"], "id": "m1", "w": "2024-01-01T00:00:00"}, # naive w
{"k": [5, "2024-01-03T00:00:00"], "id": "m1", "w": "2024-01-01T00:00:00+00:00"}, # naive k
],
)
def test_a_hand_made_relevance_cursor_is_refused_not_a_crash(db, as_user, payload):
# The page halves compare the cursor's timestamp with the window's in Python: a null or a naive
# one raised there, past the route's 400 — a 500.
client = as_user(_seed(db))
cursor = base64.urlsafe_b64encode(json.dumps(payload).encode()).decode()
resp = client.get(f"/api/feed?q=foo&sort=relevance&limit=2&cursor={cursor}")
assert resp.status_code == 400, resp.text