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CaliBrain
1b17fe179a
"David Petrie" as "D. Petrie", then ranked the answer by the full name to recover the precision the surname gave up. The two halves disagreed. author_affinity needs two agreeing tokens before it calls a name the same person, so "Petrie" - the name on the filenames a surname search exists to reach - matched one and came back AUTHOR_MISMATCH. It therefore sorted below "Unknown" and level with "Gordon Petrie", a different author who merely shares the surname. The widened query pulled those rows in and the ranker buried them. Falling short of agreement is now separated from disagreeing with it. A name whose every token fits the one asked for is an abbreviation of it and ranks AUTHOR_PARTIAL, between agreement and "no author reported"; a name carrying a token that fits nothing still ranks AUTHOR_MISMATCH. Nothing that agreed before changes tier - "Homer"/"Homer Simpson" is still a match, since the extra token must not demote a mononym that already met its one-token requirement - so Prowlarr's #1293 ordering is unchanged except that a tracker listing a bare surname stops being read as the wrong author. Measured on the issue's own case, wanted "David Petrie": before: D Petrie, Unknown, Petrie, Gordon Petrie after: D Petrie, Petrie, Unknown, Gordon Petrie Second fix, same release: a book with no title posted the surname on its own. _build_query fell back to book.search_title or book.title, which is empty on exactly the path where the plan has no title variants, so the line reaching the channel was "@search Petrie" - not a search for anything, and the kind of bare over-broad post is_available refuses unaddressed queries to avoid. It now returns "" and the existing "No search query could be built" guard takes it. Tested with make python-lint, python-format, python-dead-code, python-typecheck and python-test.
221 lines
8.4 KiB
Python
221 lines
8.4 KiB
Python
"""What the IRC source posts to the channel, and how it orders the answer.
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A search bot ANDs every term against a filename, so a given name the channel
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spells differently returns nothing at all. Measured against irchighway's
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#ebooks: "Revelations David Petrie" was answered "no results", while
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"Revelations Petrie" returned 9 matches.
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"""
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import pytest
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from shelfmark.core.author_match import search_surname
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from shelfmark.core.search_plan import build_release_search_plan
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from shelfmark.metadata_providers import BookMetadata
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from shelfmark.release_sources import Release
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from shelfmark.release_sources.irc.source import IRCReleaseSource
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def _release(author, server="OnlineBot"):
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return Release(
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source="irc",
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source_id=f"line-{author}-{server}",
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title="Revelations",
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extra={"author": author, "server": server},
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)
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class TestSearchSurname:
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@pytest.mark.parametrize(
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("author", "expected"),
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[
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# The bug: the channel abbreviates the given name, so only the surname
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# is common to both spellings.
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("David Petrie", "Petrie"),
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("D. Petrie", "Petrie"),
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("Kurt Vonnegut Jr.", "Vonnegut"),
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("Homer", "Homer"),
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("", ""),
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],
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)
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def test_trims_to_the_token_both_spellings_share(self, author, expected):
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assert search_surname(author) == expected
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def test_a_particle_is_dropped_with_the_given_names(self):
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# "Le Guin" loses its particle, which costs precision, not matches: the
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# remaining token is still a substring of the filename that the full name
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# would have matched, and _rank_by_author restores the precision.
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assert search_surname("Ursula K. Le Guin") == "Guin"
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class TestQueryPostedToChannel:
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def test_query_carries_the_surname_not_the_given_name(self):
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# Through the real plan builder, so the query cannot drift from what
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# build_release_search_plan actually produces.
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book = BookMetadata(
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provider="hardcover", provider_id="1", title="Revelations", authors=["David Petrie"]
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)
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query = IRCReleaseSource()._build_query(book, build_release_search_plan(book))
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assert query == "Revelations Petrie"
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def test_manual_query_is_posted_verbatim(self):
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book = BookMetadata(
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provider="hardcover", provider_id="1", title="Revelations", authors=["David Petrie"]
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)
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plan = build_release_search_plan(book, manual_query="revelations petrie epub")
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query = IRCReleaseSource()._build_query(book, plan)
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assert query == "revelations petrie epub"
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def test_an_isbn_fallback_query_stays_authorless(self):
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# The ISBN variant carries author="" on purpose; appending a surname would
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# make an already-narrow query require the author in the filename too.
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book = BookMetadata(
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provider="hardcover",
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provider_id="1",
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title="",
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isbn_13="9780306406157",
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authors=["David Petrie"],
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)
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query = IRCReleaseSource()._build_query(book, build_release_search_plan(book))
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assert query == "9780306406157"
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def test_title_alone_when_no_author_is_known(self):
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book = BookMetadata(provider="hardcover", provider_id="1", title="Beowulf")
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assert IRCReleaseSource()._build_query(book, build_release_search_plan(book)) == "Beowulf"
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def test_a_book_with_no_title_is_not_searched_by_surname_alone(self):
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# "@search Petrie" asks the bot for every Petrie it holds. It is not a
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# search for anything, and a bare over-broad line posted to a public
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# channel is what gets the nick banned - so no query is built at all.
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book = BookMetadata(provider="hardcover", provider_id="1", title="", authors=["D. Petrie"])
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plan = build_release_search_plan(book)
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assert plan.title_variants == []
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assert plan.author == "D. Petrie"
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assert IRCReleaseSource()._build_query(book, plan) == ""
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class TestAuthorOrdersTheAnswer:
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def test_requested_author_leads_and_the_rest_stay_visible(self):
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source = IRCReleaseSource()
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source._online_servers = {"OnlineBot"}
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releases = [
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_release("Gordon Petrie"),
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# What the parser writes when a filename has no " - " separator; it
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# must not sort below a result that named a different author.
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_release("Unknown"),
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# The shape the surname query exists to reach: the channel filed this
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# under the surname alone, so it agrees with everything known about
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# "David Petrie" and contradicts none of it.
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_release("Petrie"),
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_release("D Petrie"),
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]
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ranked = source._rank_by_author(releases, "David Petrie")
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assert [release.extra["author"] for release in ranked] == [
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"D Petrie",
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"Petrie",
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"Unknown",
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"Gordon Petrie",
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]
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def test_an_offline_server_does_not_outrank_one_that_can_answer(self):
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# Downloading addresses one named bot and waits 120s for it, so a matching
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# author on a bot that left the channel is worse than a mismatch that is there.
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source = IRCReleaseSource()
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source._online_servers = {"OnlineBot"}
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releases = [
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_release("Gordon Petrie", server="OnlineBot"),
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_release("D Petrie", server="DeadBot"),
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]
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ranked = source._rank_by_author(releases, "David Petrie")
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assert [release.extra["server"] for release in ranked] == ["OnlineBot", "DeadBot"]
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def test_no_requested_author_leaves_the_order_the_bot_sent(self):
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source = IRCReleaseSource()
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releases = [_release("Gordon Petrie"), _release("D Petrie")]
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assert source._rank_by_author(releases, "") == releases
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def test_search_posts_the_surname_and_ranks_the_cached_answer(monkeypatch):
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"""End to end: the line reaching the channel, and ordering on the cached path.
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The cached path matters because one cache entry is keyed by query alone, so it
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is shared by every book that produced that query - the order has to follow the
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author being asked for now, not the one that filled the cache.
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"""
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import shelfmark.release_sources.irc.source as irc_source
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source = IRCReleaseSource()
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sent: list[str] = []
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class FakeClient:
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online_servers: set[str] = {"OnlineBot"}
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def send_message(self, _channel: str, message: str) -> None:
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sent.append(message)
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def wait_for_dcc(self, **_kwargs: object) -> None:
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return None
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monkeypatch.setattr(
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irc_source,
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"_config_text",
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lambda key: {
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"IRC_SERVER": "irc.example.net",
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"IRC_CHANNEL": "ebooks",
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"IRC_NICK": "tester",
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"IRC_SEARCH_BOT": "search",
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}.get(key, ""),
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)
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irc_source._recent_message_sends.clear()
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monkeypatch.setattr(source, "is_available", lambda: True)
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monkeypatch.setattr(irc_source, "_enforce_rate_limit", lambda: None)
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monkeypatch.setattr(irc_source, "_emit_status", lambda *_args, **_kwargs: None)
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monkeypatch.setattr(
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"shelfmark.release_sources.irc.cache.cache_results",
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lambda *_args, **_kwargs: None,
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)
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monkeypatch.setattr(
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"shelfmark.release_sources.irc.connection_manager.connection_manager.get_connection",
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lambda **_kwargs: FakeClient(),
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)
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monkeypatch.setattr(
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"shelfmark.release_sources.irc.connection_manager.connection_manager.release_connection",
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lambda _client: None,
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)
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monkeypatch.setattr(
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"shelfmark.release_sources.irc.cache.get_cached_results",
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lambda *_args, **_kwargs: None,
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)
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book = BookMetadata(
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provider="hardcover", provider_id="1", title="Revelations", authors=["David Petrie"]
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)
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source.search(book, build_release_search_plan(book), expand_search=True)
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assert sent == ["@search Revelations Petrie"]
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# Same query, now served from cache for the same author: the match leads.
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monkeypatch.setattr(
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"shelfmark.release_sources.irc.cache.get_cached_results",
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lambda *_args, **_kwargs: {
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"releases": [_release("Gordon Petrie"), _release("D Petrie")],
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"online_servers": ["OnlineBot"],
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},
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)
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cached = source.search(book, build_release_search_plan(book))
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assert [release.extra["author"] for release in cached] == ["D Petrie", "Gordon Petrie"]
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