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adding test for range facet min max
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@ -1634,6 +1634,99 @@ TEST_F(CollectionFacetingTest, RangeFacetTypo) {
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collectionManager.drop_collection("coll1");
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}
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TEST_F(CollectionFacetingTest, RangeFacetsFloatRange) {
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std::vector<field> fields = {field("name", field_types::STRING, false),
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field("inches", field_types::FLOAT, true),};
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Collection* coll1 = collectionManager.create_collection(
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"coll1", 1, fields, "", 0, "", {}, {}).get();
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nlohmann::json doc;
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doc["id"] = "0";
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doc["name"] = "TV 1";
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doc["inches"] = 32.4;
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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doc["id"] = "1";
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doc["name"] = "TV 2";
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doc["inches"] = 55;
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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doc["id"] = "2";
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doc["name"] = "TV 3";
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doc["inches"] = 55.6;
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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auto results = coll1->search("*", {},
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"", {"inches(small:[0, 55.5])"},
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{}, {2}, 10,
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1, FREQUENCY, {true},
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10, spp::sparse_hash_set<std::string>(),
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spp::sparse_hash_set<std::string>(), 10, "", 30, 4, "", 10, {}, {}, {}, 0,
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"<mark>", "</mark>", {}, 1000,
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true, false, true, "", true).get();
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ASSERT_EQ(1, results["facet_counts"][0]["counts"].size());
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ASSERT_EQ(2, (int) results["facet_counts"][0]["counts"][0]["count"]);
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ASSERT_EQ("small", results["facet_counts"][0]["counts"][0]["value"]);
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}
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TEST_F(CollectionFacetingTest, RangeFacetsMinMaxRange) {
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std::vector<field> fields = {field("name", field_types::STRING, false),
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field("inches", field_types::FLOAT, true),};
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Collection* coll1 = collectionManager.create_collection(
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"coll1", 1, fields, "", 0, "", {}, {}).get();
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nlohmann::json doc;
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doc["id"] = "0";
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doc["name"] = "TV 1";
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doc["inches"] = 32.4;
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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doc["id"] = "1";
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doc["name"] = "TV 2";
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doc["inches"] = 55;
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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doc["id"] = "2";
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doc["name"] = "TV 3";
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doc["inches"] = 55.6;
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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auto results = coll1->search("*", {},
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"", {"inches(small:[0, 55], large:[55, ])"},
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{}, {2}, 10,
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1, FREQUENCY, {true},
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10, spp::sparse_hash_set<std::string>(),
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spp::sparse_hash_set<std::string>(), 10, "", 30, 4, "", 10, {}, {}, {}, 0,
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"<mark>", "</mark>", {}, 1000,
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true, false, true, "", true).get();
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ASSERT_EQ(2, results["facet_counts"][0]["counts"].size());
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ASSERT_EQ(2, (int) results["facet_counts"][0]["counts"][0]["count"]);
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ASSERT_EQ("small", results["facet_counts"][0]["counts"][0]["value"]);
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ASSERT_EQ(1, (int) results["facet_counts"][0]["counts"][1]["count"]);
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ASSERT_EQ("large", results["facet_counts"][0]["counts"][1]["value"]);
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results = coll1->search("*", {},
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"", {"inches(small:[,55])"},
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{}, {2}, 10,
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1, FREQUENCY, {true},
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10, spp::sparse_hash_set<std::string>(),
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spp::sparse_hash_set<std::string>(), 10, "", 30, 4, "", 10, {}, {}, {}, 0,
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"<mark>", "</mark>", {}, 1000,
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true, false, true, "", true).get();
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ASSERT_EQ(1, results["facet_counts"][0]["counts"].size());
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ASSERT_EQ(2, (int) results["facet_counts"][0]["counts"][0]["count"]);
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ASSERT_EQ("small", results["facet_counts"][0]["counts"][0]["value"]);
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}
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TEST_F(CollectionFacetingTest, SampleFacetCounts) {
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nlohmann::json schema = R"({
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"name": "coll1",
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