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120 lines
4.2 KiB
Python
120 lines
4.2 KiB
Python
"""Tests for _validate_topics() pure logic in topic_generator.
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Tests cover:
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- Length filtering (min 2, max 30)
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- Case-insensitive deduplication
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- Whitespace stripping
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- max_topics enforcement
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- Empty/falsy topic handling
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- Output normalization to lowercase
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"""
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from local_deep_research.news.utils.topic_generator import _validate_topics
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class TestValidateTopics:
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"""Tests for _validate_topics()."""
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# -- basic functionality -------------------------------------------
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def test_valid_topics_pass_through(self):
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result = _validate_topics(["AI", "Climate"], max_topics=5)
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assert result == ["ai", "climate"]
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def test_output_normalized_to_lowercase(self):
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result = _validate_topics(
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["CLIMATE Change", "AI Research"], max_topics=5
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)
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assert result == ["climate change", "ai research"]
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# -- length filtering ----------------------------------------------
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def test_single_char_topics_filtered(self):
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result = _validate_topics(["a", "AI", "b"], max_topics=5)
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assert result == ["ai"]
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def test_exactly_two_char_topic_kept(self):
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result = _validate_topics(["AI"], max_topics=5)
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assert result == ["ai"]
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def test_topics_over_30_chars_filtered(self):
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long_topic = "a" * 31
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result = _validate_topics([long_topic, "valid"], max_topics=5)
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assert result == ["valid"]
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def test_exactly_30_char_topic_kept(self):
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topic = "a" * 30
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result = _validate_topics([topic], max_topics=5)
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assert result == [topic]
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# -- deduplication -------------------------------------------------
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def test_case_insensitive_dedup(self):
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result = _validate_topics(["AI", "ai", "Ai", "aI"], max_topics=5)
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assert result == ["ai"]
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def test_dedup_preserves_first_occurrence_normalized(self):
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result = _validate_topics(
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["Climate", "Economy", "climate"], max_topics=5
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)
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assert result == ["climate", "economy"]
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# -- whitespace handling -------------------------------------------
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def test_leading_trailing_whitespace_stripped(self):
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result = _validate_topics([" AI ", " Climate "], max_topics=5)
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assert result == ["ai", "climate"]
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def test_whitespace_only_topic_filtered(self):
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result = _validate_topics([" ", "valid"], max_topics=5)
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assert result == ["valid"]
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# -- empty / falsy handling ----------------------------------------
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def test_empty_string_filtered(self):
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result = _validate_topics(["", "valid"], max_topics=5)
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assert result == ["valid"]
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def test_none_topic_filtered(self):
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"""None values should be skipped (falsy check)."""
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result = _validate_topics([None, "valid"], max_topics=5)
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assert result == ["valid"]
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def test_all_invalid_returns_fallback(self):
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result = _validate_topics(["", "a", None], max_topics=5)
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assert result == ["[No valid topics]"]
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def test_empty_list_returns_fallback(self):
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result = _validate_topics([], max_topics=5)
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assert result == ["[No valid topics]"]
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# -- max_topics enforcement ----------------------------------------
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def test_max_topics_limits_output(self):
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topics = ["one", "two", "three", "four", "five"]
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result = _validate_topics(topics, max_topics=3)
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assert len(result) == 3
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assert result == ["one", "two", "three"]
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def test_max_topics_one(self):
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result = _validate_topics(["first", "second"], max_topics=1)
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assert result == ["first"]
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def test_fewer_topics_than_max(self):
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result = _validate_topics(["one", "two"], max_topics=10)
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assert result == ["one", "two"]
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# -- combined edge cases -------------------------------------------
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def test_dedup_then_max_topics(self):
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"""Dedup reduces count, max_topics applied after."""
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topics = ["AI", "ai", "Climate", "climate", "Economy"]
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result = _validate_topics(topics, max_topics=2)
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assert result == ["ai", "climate"]
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def test_length_filter_then_dedup(self):
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"""Short topics filtered before dedup counting."""
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topics = ["a", "AI", "AI"]
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result = _validate_topics(topics, max_topics=5)
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assert result == ["ai"]
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