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Data layer tests β runnable immediately without an LLM or HF_TOKEN.
These tests verify that BPSDatabase correctly filters, searches, and returns
results from the bps_schools.db + FAISS vector store.
Grade encoding: K0=-2, K1=-1, K2=0, 1-12 as integers.
Jamaica Plain (JP) approximate center: lat=42.3097, lon=-71.1065
"""
import pytest
# ββ Grade / hard filter tests βββββββββββββββββββββββββββββββββββββββββββββββββ
class TestGradeFilters:
def test_grade_3_returns_results(self, db):
"""hard_filter(grade=3) must return at least one school."""
results = db.hard_filter(grade=3)
assert len(results) > 0, "Expected schools serving grade 3"
def test_grade_3_schools_span_grade(self, db):
"""Every result for grade=3 must have grade_min <= 3 <= grade_max."""
results = db.hard_filter(grade=3)
for school in results:
assert school["grade_min"] <= 3 <= school["grade_max"], (
f"{school['school']}: grade range "
f"[{school['grade_min']}, {school['grade_max']}] "
f"does not include 3"
)
def test_kindergarten_k2_returns_results(self, db):
"""K2 (grade=0) should return kindergarten schools."""
results = db.hard_filter(grade=0)
assert len(results) > 0, "Expected schools serving K2 (grade=0)"
def test_high_school_grade_9_returns_results(self, db):
"""Grade 9 should return high schools."""
results = db.hard_filter(grade=9)
assert len(results) > 0, "Expected schools serving grade 9"
def test_find_schools_by_grade_returns_list(self, db):
"""find_schools_by_grade(5) returns a non-empty list of dicts."""
results = db.find_schools_by_grade(5)
assert isinstance(results, list)
assert len(results) > 0
assert "school" in results[0]
def test_grade_out_of_range_returns_empty(self, db):
"""Grade 99 should return no schools."""
results = db.hard_filter(grade=99)
assert results == [], f"Expected empty list for grade=99, got {results}"
# ββ Semantic / vector search tests βββββββββββββββββββββββββββββββββββββββββββ
class TestSemanticSearch:
def test_spanish_language_returns_results(self, db):
"""semantic_search('Spanish dual language') should return results."""
results = db.semantic_search("Spanish dual language", top_k=5)
assert len(results) > 0, "Expected results for 'Spanish dual language'"
def test_semantic_search_has_required_fields(self, db):
"""Each result should have id, school, score, and description fields."""
results = db.semantic_search("arts program", top_k=3)
assert len(results) > 0
for r in results:
assert "id" in r, f"Missing 'id' in result: {r}"
assert "school" in r, f"Missing 'school' in result: {r}"
assert "score" in r, f"Missing 'score' in result: {r}"
assert "description" in r, f"Missing 'description' in result: {r}"
def test_language_filter_finds_language_schools(self, db):
"""hard_filter with has_language_program=1 should return schools with language programs."""
results = db.hard_filter(has_language_program=1)
assert len(results) > 0, "Expected schools with language programs"
for school in results:
assert school["has_language_program"] == 1, (
f"{school['school']} returned but has_language_program != 1"
)
def test_semantic_search_scores_are_sorted(self, db):
"""Semantic search results should be sorted by score descending."""
results = db.semantic_search("math and science", top_k=5)
if len(results) < 2:
pytest.skip("Not enough results to check sort order")
scores = [r["score"] for r in results]
assert scores == sorted(scores, reverse=True), (
"Semantic search results are not sorted by score descending"
)
def test_pre_filter_ids_respected(self, db):
"""semantic_search with pre_filter_ids should only return schools in the set."""
all_results = db.hard_filter(grade=5)
if len(all_results) < 2:
pytest.skip("Need at least 2 grade-5 schools for this test")
allowed_ids = {all_results[0]["id"]}
results = db.semantic_search("school", top_k=5, pre_filter_ids=allowed_ids)
for r in results:
assert r["id"] in allowed_ids, (
f"Result {r['school']} (id={r['id']}) not in pre_filter_ids"
)
# ββ Combined search tests βββββββββββββββββββββββββββββββββββββββββββββββββββββ
class TestCombinedSearch:
def test_combined_search_grade_and_query(self, db):
"""search(query, grade) should return grade-appropriate results."""
results = db.search(query="arts program", grade=5, top_k=5)
assert isinstance(results, list)
assert len(results) > 0
for school in results:
if "grade_min" in school and "grade_max" in school:
assert school["grade_min"] <= 5 <= school["grade_max"], (
f"{school['school']} does not serve grade 5"
)
def test_combined_search_with_language_filter(self, db):
"""search with has_language_program=1 should only return language schools."""
results = db.search(
query="Spanish language", grade=3,
has_language_program=1, top_k=5
)
for school in results:
if "has_language_program" in school:
assert school["has_language_program"] == 1
def test_search_returns_dicts(self, db):
"""search() should return a list of dicts."""
results = db.search(query="elementary school", grade=2, top_k=3)
assert isinstance(results, list)
if results:
assert isinstance(results[0], dict)
def test_search_no_query_uses_hard_filter_only(self, db):
"""search() with no query and a grade filter should still return results."""
results = db.search(grade=4, top_k=10)
assert len(results) > 0
def test_get_all_provider_types_returns_list(self, db):
"""get_all_provider_types() should return a non-empty list of strings."""
types = db.get_all_provider_types()
assert isinstance(types, list)
assert len(types) > 0
assert all(isinstance(t, str) for t in types)
assert "Boston Public School" in types, (
f"Expected 'Boston Public School' in provider types, got: {types}"
)
# ββ Proximity search tests ββββββββββββββββββββββββββββββββββββββββββββββββββββ
class TestProximitySearch:
# Jamaica Plain approximate center
JP_LAT = 42.3097
JP_LON = -71.1065
def test_jp_proximity_returns_results(self, db):
"""find_schools_near(JP coords) should return at least one school."""
results = db.find_schools_near(
lat=self.JP_LAT, lon=self.JP_LON, radius_miles=2.0
)
assert len(results) > 0, (
"Expected at least one school within 2 miles of Jamaica Plain"
)
def test_proximity_results_within_radius(self, db):
"""All proximity results should be within the requested radius."""
radius = 1.5
results = db.find_schools_near(
lat=self.JP_LAT, lon=self.JP_LON, radius_miles=radius
)
for school in results:
dist = school.get("distance_miles")
if dist is not None:
assert dist <= radius + 0.01, (
f"{school['school']} is {dist:.2f} miles away, "
f"exceeds radius of {radius}"
)
def test_proximity_results_sorted_by_distance(self, db):
"""Proximity results should be sorted nearest-first."""
results = db.find_schools_near(
lat=self.JP_LAT, lon=self.JP_LON, radius_miles=3.0
)
if len(results) < 2:
pytest.skip("Not enough results to check sort order")
distances = [r["distance_miles"] for r in results if "distance_miles" in r]
assert distances == sorted(distances), (
"Proximity results are not sorted by distance ascending"
)
def test_tiny_radius_returns_fewer_results(self, db):
"""A very small radius should return fewer results than a large radius."""
small = db.find_schools_near(
lat=self.JP_LAT, lon=self.JP_LON, radius_miles=0.1
)
large = db.find_schools_near(
lat=self.JP_LAT, lon=self.JP_LON, radius_miles=5.0
)
assert len(small) <= len(large), (
"Smaller radius returned more results than larger radius"
)
# ββ School detail tests βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
class TestSchoolDetail:
def test_get_school_detail_for_valid_id(self, db):
"""get_school_detail should return a dict for an existing school ID."""
all_schools = db.hard_filter(grade=5)
assert len(all_schools) > 0, "Need at least one school to test detail lookup"
school_id = all_schools[0]["id"]
detail = db.get_school_detail(school_id)
assert isinstance(detail, dict)
assert detail["id"] == school_id
assert "school" in detail
def test_get_school_detail_invalid_id_returns_none(self, db):
"""get_school_detail should return None for a non-existent ID."""
result = db.get_school_detail("nonexistent-school-id-xyz-999")
assert result is None
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