| """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}", |
| |
| "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): |
| |
| 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"} |
| |
| 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 |
|
|
