"""Auto-retry decision engine — next_query / plan_retry / merge_candidates. Pure, isolated from music.""" from __future__ import annotations import json from core.video.retry import MAX_ATTEMPTS, merge_candidates, next_query, plan_retry def test_next_query_movie_drops_year_then_exhausts(): ctx = {"scope": "movie", "title": "Dune", "year": 2021} assert next_query(ctx, []) == "Dune 2021" assert next_query(ctx, ["Dune 2021"]) == "Dune" # fall back to no-year assert next_query(ctx, ["Dune 2021", "Dune"]) is None # exhausted def test_next_query_tv_variants(): ep = {"scope": "episode", "title": "The Wire", "season": 2, "episode": 5} assert next_query(ep, []) == "The Wire S02E05" assert next_query(ep, ["The Wire S02E05"]) == "The Wire 2x05" se = {"scope": "season", "title": "The Wire", "season": 2} assert next_query(se, []) == "The Wire S02" assert next_query(se, ["The Wire S02"]) == "The Wire Season 2" def _row(**kw): base = {"attempts": 0, "candidates": "[]", "tried_files": "[]", "search_ctx": json.dumps({"scope": "movie", "title": "Dune", "year": 2021}), "tried_queries": json.dumps(["Dune 2021"])} base.update(kw) return base def test_plan_retry_next_candidate_first(): cands = [{"filename": "a.mkv", "username": "u"}, {"filename": "b.mkv", "username": "v"}] plan = plan_retry(_row(candidates=json.dumps(cands))) assert plan["action"] == "candidate" and plan["candidate"]["filename"] == "a.mkv" assert [c["filename"] for c in plan["rest"]] == ["b.mkv"] def test_plan_retry_skips_already_tried_candidate(): cands = [{"filename": "a.mkv"}, {"filename": "b.mkv"}] plan = plan_retry(_row(candidates=json.dumps(cands), tried_files=json.dumps(["a.mkv"]))) assert plan["action"] == "candidate" and plan["candidate"]["filename"] == "b.mkv" def test_plan_retry_requeries_when_candidates_exhausted(): plan = plan_retry(_row(candidates="[]")) # no candidates, year-query already tried assert plan["action"] == "requery" and plan["query"] == "Dune" # the no-year variant def test_plan_retry_fails_when_everything_exhausted(): plan = plan_retry(_row(candidates="[]", tried_queries=json.dumps(["Dune 2021", "Dune"]))) assert plan["action"] == "fail" def test_plan_retry_respects_budget(): cands = [{"filename": "a.mkv"}] plan = plan_retry(_row(candidates=json.dumps(cands), attempts=MAX_ATTEMPTS)) assert plan["action"] == "fail" and "budget" in plan["reason"] def test_merge_candidates_dedupes_against_tried(): new = [{"filename": "a.mkv", "username": "u", "title": "Dune.2021.1080p"}, {"filename": "b.mkv", "username": "v"}, {"filename": "a.mkv", "username": "w"}] out = merge_candidates(new, ["b.mkv"]) assert [c["filename"] for c in out] == ["a.mkv"] # b excluded (tried), dup a collapsed assert out[0]["release_title"] == "Dune.2021.1080p" # ── bounded search stops its slskd search (so they don't pile up) ───────────── def test_search_for_retry_stops_the_slskd_search(monkeypatch): """The bounded auto-grab search MUST stop its slskd search when done — slskd otherwise keeps each running ~60s, and back-to-back searches pile up and swamp it. Stopped even on an early break (12+ hits arrive fast).""" import core.video.slskd_search as ss from core.video import download_monitor as dm stopped = [] monkeypatch.setattr(ss, "start_search", lambda q: {"id": "S1"}) monkeypatch.setattr(ss, "poll_search", lambda sid: {"hits": list(range(12)), "total_files": 12}) monkeypatch.setattr(ss, "stop_search", lambda sid: stopped.append(sid)) res = dm._search_for_retry("Dune 2021") assert len(res["hits"]) == 12 and stopped == ["S1"] # early-broke AND stopped def test_search_for_retry_no_id_skips_stop(monkeypatch): import core.video.slskd_search as ss from core.video import download_monitor as dm stopped = [] monkeypatch.setattr(ss, "start_search", lambda q: {"configured": True, "error": "boom"}) monkeypatch.setattr(ss, "stop_search", lambda sid: stopped.append(sid)) res = dm._search_for_retry("x") assert res["hits"] == [] and res["started"] is False and res["error"] == "boom" assert stopped == [] # nothing started → nothing to stop