test_es_query_builder.py
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from types import SimpleNamespace
from typing import Any, Dict
import numpy as np
from search.es_query_builder import ESQueryBuilder
def _builder() -> ESQueryBuilder:
return ESQueryBuilder(
match_fields=["title.en^3.0", "brief.en^1.0"],
multilingual_fields=["title", "brief"],
core_multilingual_fields=["title", "brief"],
shared_fields=[],
text_embedding_field="title_embedding",
image_embedding_field="image_embedding.vector",
default_language="en",
)
def _recall_root(es_body: Dict[str, Any]) -> Dict[str, Any]:
query_root = es_body["query"]
if "bool" in query_root and query_root["bool"].get("must"):
query_root = query_root["bool"]["must"][0]
if "function_score" in query_root:
query_root = query_root["function_score"]["query"]
return query_root
def _recall_should_clauses(es_body: Dict[str, Any]) -> list[Dict[str, Any]]:
root = _recall_root(es_body)
should = root.get("bool", {}).get("should")
if should:
return should
return [root]
def test_knn_clause_moves_under_query_should_and_uses_outer_filters():
qb = _builder()
q = qb.build_query(
query_text="bags",
query_vector=np.array([0.1, 0.2, 0.3]),
range_filters={"min_price": {"gte": 50, "lt": 100}},
enable_knn=True,
)
assert "knn" not in q
should = _recall_should_clauses(q)
assert any(clause.get("knn", {}).get("_name") == "knn_query" for clause in should)
assert q["query"]["bool"]["filter"] == [{"range": {"min_price": {"gte": 50, "lt": 100}}}]
def test_knn_clause_uses_outer_query_filter_when_disjunctive_filters_present():
qb = _builder()
facets = [SimpleNamespace(field="category_name", disjunctive=True)]
q = qb.build_query(
query_text="bags",
query_vector=np.array([0.1, 0.2, 0.3]),
filters={"category_name": ["A", "B"], "vendor": "Nike"},
range_filters={"min_price": {"gte": 50, "lt": 100}},
facet_configs=facets,
enable_knn=True,
)
assert "knn" not in q
assert q["query"]["bool"]["filter"] == [
{"term": {"vendor": "Nike"}},
{"range": {"min_price": {"gte": 50, "lt": 100}}},
]
assert q["post_filter"] == {"terms": {"category_name": ["A", "B"]}}
def test_knn_clause_has_name_and_no_embedded_filter():
qb = _builder()
q = qb.build_query(
query_text="bags",
query_vector=np.array([0.1, 0.2, 0.3]),
enable_knn=True,
)
should = _recall_should_clauses(q)
knn_clause = next(clause["knn"] for clause in should if clause.get("knn", {}).get("_name") == "knn_query")
assert "filter" not in knn_clause
assert knn_clause["_name"] == "knn_query"
def test_text_query_contains_only_base_and_translation_named_queries():
qb = _builder()
parsed_query = SimpleNamespace(
rewritten_query="dress",
detected_language="en",
translations={"en": "dress", "zh": "连衣裙"},
)
q = qb.build_query(
query_text="dress",
parsed_query=parsed_query,
enable_knn=False,
)
should = _recall_should_clauses(q)
names = [clause["bool"]["_name"] for clause in should]
assert names == ["base_query", "base_query_trans_zh"]
base_should = should[0]["bool"]["should"]
assert [clause["multi_match"]["type"] for clause in base_should] == ["best_fields", "phrase"]
def test_text_query_skips_duplicate_translation_same_as_base():
qb = _builder()
parsed_query = SimpleNamespace(
rewritten_query="dress",
detected_language="en",
translations={"en": "dress"},
)
q = qb.build_query(
query_text="dress",
parsed_query=parsed_query,
enable_knn=False,
)
root = _recall_root(q)
assert root["bool"]["_name"] == "base_query"
assert [clause["multi_match"]["type"] for clause in root["bool"]["should"]] == ["best_fields", "phrase"]
def test_product_title_exclusion_filter_is_applied_once_on_outer_query():
qb = _builder()
parsed_query = SimpleNamespace(
rewritten_query="fitted dress",
detected_language="en",
translations={"zh": "修身 连衣裙"},
product_title_exclusion_profile=SimpleNamespace(
is_active=True,
all_zh_title_exclusions=lambda: ["宽松"],
all_en_title_exclusions=lambda: ["loose", "relaxed"],
),
)
q = qb.build_query(
query_text="fitted dress",
query_vector=np.array([0.1, 0.2, 0.3]),
parsed_query=parsed_query,
enable_knn=True,
)
expected_filter = {
"bool": {
"must_not": [
{
"bool": {
"should": [
{"match_phrase": {"title.zh": {"query": "宽松"}}},
{"match_phrase": {"title.en": {"query": "loose"}}},
{"match_phrase": {"title.en": {"query": "relaxed"}}},
],
"minimum_should_match": 1,
}
}
]
}
}
assert expected_filter in q["query"]["bool"]["filter"]
should = _recall_should_clauses(q)
knn_clause = next(clause["knn"] for clause in should if clause.get("knn", {}).get("_name") == "knn_query")
assert "filter" not in knn_clause
def test_image_knn_clause_is_added_alongside_base_translation_and_text_knn():
qb = _builder()
parsed_query = SimpleNamespace(
rewritten_query="street tee",
detected_language="en",
translations={"zh": "街头短袖"},
)
q = qb.build_query(
query_text="street tee",
query_vector=np.array([0.1, 0.2, 0.3]),
image_query_vector=np.array([0.4, 0.5, 0.6]),
parsed_query=parsed_query,
enable_knn=True,
)
should = _recall_should_clauses(q)
names = [
clause["bool"]["_name"] if "bool" in clause else clause["knn"]["_name"]
for clause in should
]
assert names == ["base_query", "base_query_trans_zh", "knn_query", "image_knn_query"]
image_knn = next(clause["knn"] for clause in should if clause.get("knn", {}).get("_name") == "image_knn_query")
assert image_knn["field"] == "image_embedding.vector"