"""Article cleaning and the balanced selection policy.""" from __future__ import annotations import pandas as pd import pytest from ehekim.corpus import clean_articles, parent_id_for, select_articles def make_frame(counts: dict[str, int], body_len: int = 800) -> pd.DataFrame: rows = [] for source, n in counts.items(): for i in range(n): rows.append( { "url": f"https://{source}.example/makale-{i}", "title": f"{source} makale {i}", # Unique bodies so the text-dedup step does not remove them. "text": f"{source}-{i} " + ("kelime " * body_len), "source": source, } ) return pd.DataFrame(rows) class TestCleanArticles: def test_drops_null_and_short_and_nonhttp(self): df = pd.DataFrame( [ {"url": "https://a.test/1", "title": "t", "text": "x" * 900, "source": "acibadem"}, {"url": "https://a.test/2", "title": "t", "text": None, "source": "acibadem"}, {"url": "https://a.test/3", "title": "t", "text": "kısa", "source": "acibadem"}, {"url": "ftp://a.test/4", "title": "t", "text": "y" * 900, "source": "acibadem"}, ] ) out = clean_articles(df, min_chars=400) assert out["url"].tolist() == ["https://a.test/1"] def test_removes_duplicate_urls_and_duplicate_bodies(self): body = "z" * 900 df = pd.DataFrame( [ {"url": "https://a.test/1", "title": "t", "text": body, "source": "acibadem"}, {"url": "https://a.test/1", "title": "t", "text": body, "source": "acibadem"}, {"url": "https://a.test/2", "title": "t", "text": body, "source": "liv"}, ] ) assert len(clean_articles(df, min_chars=400)) == 1 def test_drops_boilerplate_pages(self): df = pd.DataFrame( [ { "url": "https://a.test/cookie", "title": "Çerez", "text": "Çerez politikası hakkında bilgilendirme. " + ("metin " * 200), "source": "acibadem", }, {"url": "https://a.test/ok", "title": "t", "text": "q" * 900, "source": "acibadem"}, ] ) assert clean_articles(df, min_chars=400)["url"].tolist() == ["https://a.test/ok"] class TestSelectArticles: def test_returns_exactly_the_target_count(self): df = clean_articles(make_frame({"acibadem": 500, "liv": 300, "atlas": 200})) assert len(select_articles(df, target=300)) == 300 def test_balances_across_sources_instead_of_following_raw_proportions(self): # Acıbadem outnumbers Atlas 10:1 in the raw data. df = clean_articles(make_frame({"acibadem": 1000, "liv": 500, "atlas": 100})) counts = select_articles(df, target=150).groupby("source").size().to_dict() assert set(counts) == {"acibadem", "liv", "atlas"} # Equal quota, not proportional: each source contributes ~50. assert max(counts.values()) - min(counts.values()) <= 1 def test_redistributes_when_a_source_cannot_fill_its_quota(self): df = clean_articles(make_frame({"acibadem": 500, "liv": 500, "atlas": 10})) counts = select_articles(df, target=300).groupby("source").size().to_dict() assert counts["atlas"] == 10 assert sum(counts.values()) == 300 def test_is_deterministic_for_a_fixed_seed(self): df = clean_articles(make_frame({"acibadem": 300, "liv": 300})) first = select_articles(df, target=100, seed=42)["url"].tolist() second = select_articles(df, target=100, seed=42)["url"].tolist() assert first == second def test_caps_at_available_when_target_exceeds_corpus(self): df = clean_articles(make_frame({"acibadem": 20, "liv": 20})) assert len(select_articles(df, target=1000)) == 40 class TestParentId: def test_is_stable_and_url_specific(self): assert parent_id_for("https://a.test/1") == parent_id_for("https://a.test/1") assert parent_id_for("https://a.test/1") != parent_id_for("https://a.test/2") assert len(parent_id_for("https://a.test/1")) == 16