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Merge pull request #3346 from lonvia/reduce-artificial-importance
Reduce default importance
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@@ -130,7 +130,7 @@ BEGIN
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-- Still nothing? Fall back to a default.
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-- Still nothing? Fall back to a default.
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IF result.importance is null THEN
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IF result.importance is null THEN
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result.importance := 0.75001 - (rank_search::float / 40);
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result.importance := 0.40001 - (rank_search::float / 75);
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END IF;
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END IF;
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{% if 'secondary_importance' in db.tables %}
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{% if 'secondary_importance' in db.tables %}
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@@ -233,7 +233,7 @@ class BaseResult:
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of the value or an artificial value computed from the place's
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of the value or an artificial value computed from the place's
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search rank.
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search rank.
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"""
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"""
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return self.importance or (0.7500001 - (self.rank_search/40.0))
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return self.importance or (0.40001 - (self.rank_search/75.0))
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def localize(self, locales: Locales) -> None:
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def localize(self, locales: Locales) -> None:
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@@ -700,7 +700,7 @@ class PlaceSearch(AbstractSearch):
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or (details.viewbox is not None and details.viewbox.area < 0.5):
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or (details.viewbox is not None and details.viewbox.area < 0.5):
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sql = sql.order_by(
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sql = sql.order_by(
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penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
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penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
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else_=0.75001-(sa.cast(tsearch.c.search_rank, sa.Float())/40)))
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else_=0.40001-(sa.cast(tsearch.c.search_rank, sa.Float())/75)))
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sql = sql.add_columns(t.c.importance)
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sql = sql.add_columns(t.c.importance)
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@@ -77,7 +77,7 @@ def test_search_details_minimal():
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'admin_level': 15,
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'admin_level': 15,
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'names': {},
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'names': {},
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'localname': '',
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'localname': '',
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'calculated_importance': pytest.approx(0.0000001),
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'calculated_importance': pytest.approx(0.00001),
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'rank_address': 30,
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'rank_address': 30,
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'rank_search': 30,
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'rank_search': 30,
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'isarea': False,
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'isarea': False,
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@@ -37,7 +37,7 @@ def test_minimal_detailed_result():
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assert res.lon == 23.1
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assert res.lon == 23.1
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assert res.lat == 0.5
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assert res.lat == 0.5
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assert res.calculated_importance() == pytest.approx(0.0000001)
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assert res.calculated_importance() == pytest.approx(0.00001)
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def test_detailed_result_custom_importance():
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def test_detailed_result_custom_importance():
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res = DetailedResult(SourceTable.PLACEX,
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res = DetailedResult(SourceTable.PLACEX,
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