mentat/query-algebrizer/tests/fulltext.rs
Richard Newman 6797a606b5 Preliminary work for vocabulary management. r=emily,nalexander
Pre: export AttributeBuilder from mentat_db.
Pre: fix module-level comment for tx/src/entities.rs.
Pre: rename some `to_` conversions to `into_`.
Pre: make AttributeBuilder::unique less verbose.
Pre: split out a HasSchema trait to abstract over Schema.
Pre: rename SchemaMap/schema_map to AttributeMap/attribute_map.
Pre: TypedValue/NamespacedKeyword conversions.
Pre: turn Unique and ValueType into TypedValue::Keyword.
Pre: export IntoResult.
Pre: export NamespacedKeyword from mentat_core.
Pre: use intern_set in tx.
Pre: add InternSet::len.
Pre: comment gardening.
Pre: remove inaccurate TODO from TxReport comment.
2018-01-23 08:25:32 -08:00

103 lines
3.3 KiB
Rust

// Copyright 2016 Mozilla
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use
// this file except in compliance with the License. You may obtain a copy of the
// License at http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
extern crate mentat_core;
extern crate mentat_query;
extern crate mentat_query_algebrizer;
extern crate mentat_query_parser;
use mentat_core::{
Attribute,
Entid,
Schema,
ValueType,
};
use mentat_query_parser::{
parse_find_string,
};
use mentat_query::{
NamespacedKeyword,
};
use mentat_query_algebrizer::{
ConjoiningClauses,
algebrize,
};
// These are helpers that tests use to build Schema instances.
fn associate_ident(schema: &mut Schema, i: NamespacedKeyword, e: Entid) {
schema.entid_map.insert(e, i.clone());
schema.ident_map.insert(i.clone(), e);
}
fn add_attribute(schema: &mut Schema, e: Entid, a: Attribute) {
schema.attribute_map.insert(e, a);
}
fn prepopulated_schema() -> Schema {
let mut schema = Schema::default();
associate_ident(&mut schema, NamespacedKeyword::new("foo", "name"), 65);
associate_ident(&mut schema, NamespacedKeyword::new("foo", "description"), 66);
associate_ident(&mut schema, NamespacedKeyword::new("foo", "parent"), 67);
associate_ident(&mut schema, NamespacedKeyword::new("foo", "age"), 68);
associate_ident(&mut schema, NamespacedKeyword::new("foo", "height"), 69);
add_attribute(&mut schema, 65, Attribute {
value_type: ValueType::String,
multival: false,
..Default::default()
});
add_attribute(&mut schema, 66, Attribute {
value_type: ValueType::String,
fulltext: true,
multival: true,
..Default::default()
});
add_attribute(&mut schema, 67, Attribute {
value_type: ValueType::String,
multival: true,
..Default::default()
});
add_attribute(&mut schema, 68, Attribute {
value_type: ValueType::Long,
multival: false,
..Default::default()
});
add_attribute(&mut schema, 69, Attribute {
value_type: ValueType::Long,
multival: false,
..Default::default()
});
schema
}
fn alg(schema: &Schema, input: &str) -> ConjoiningClauses {
let parsed = parse_find_string(input).expect("query input to have parsed");
algebrize(schema.into(), parsed).expect("algebrizing to have succeeded").cc
}
#[test]
fn test_apply_fulltext() {
let schema = prepopulated_schema();
// If you use a non-FTS attribute, we will short-circuit.
let query = r#"[:find ?val
:where [(fulltext $ :foo/name "hello") [[?entity ?val _ _]]]]"#;
assert!(alg(&schema, query).is_known_empty());
// If you get a type mismatch, we will short-circuit.
let query = r#"[:find ?val
:where [(fulltext $ :foo/description "hello") [[?entity ?val ?tx ?score]]]
[?score :foo/bar _]]"#;
assert!(alg(&schema, query).is_known_empty());
}