From 5db62d4d0896436210009f894abb90f062116d7b Mon Sep 17 00:00:00 2001
From: CodeSteak <codesteak@shellf.art>
Date: Tue, 7 May 2019 21:18:05 +0200
Subject: [PATCH] test search by using examples in doc.

---
 .../src/persistency/search/mod.rs             | 115 ++++++++++++++++--
 1 file changed, 106 insertions(+), 9 deletions(-)

diff --git a/server/texture-sync-server/src/persistency/search/mod.rs b/server/texture-sync-server/src/persistency/search/mod.rs
index 70f03ed..c133618 100644
--- a/server/texture-sync-server/src/persistency/search/mod.rs
+++ b/server/texture-sync-server/src/persistency/search/mod.rs
@@ -10,26 +10,26 @@ pub struct Query {
 
 impl Query {
     pub fn search(&self, input: &mut Iterator<Item = &Texture>) -> Vec<Texture> {
-        let mut results: Vec<(u64, &Texture)> = Vec::new();
+        let mut results: Vec<(i64, &Texture)> = Vec::new();
 
         // We use pseudo decimal fixed point numbers here.
         // 1.000_000 = 1_000_000;
 
         // This is done, since algorithms like quicksort can fail on floats.
-        let required_score = self.required_score() * 1_000_000u64;
+        let required_score = self.required_score() * 1_000_000i64;
 
-        for texture in input {
-            let mut score = 0u64;
+        'texture_loop: for texture in input {
+            let mut score = 0i64;
 
             for (pos, filter) in self.filters.iter().enumerate() {
                 match filter.score(texture) {
                     Score::RequiredMatch(true) => (),
                     Score::RequiredMatch(false) => {
                         // skip this texture
-                        continue;
+                        continue 'texture_loop;
                     }
                     Score::Match(true) => {
-                        score += 1_000_000u64 * (1 + (0.1 / f64::sqrt(pos as f64 + 1.0)) as u64);
+                        score += 1_000_000i64 + ((100_000.0 / f64::sqrt(pos as f64 + 1.0)) as i64);
                     }
                     Score::Match(false) => (),
                 }
@@ -40,7 +40,7 @@ impl Query {
             }
         }
 
-        results.sort_by_key(|(score, _)| *score);
+        results.sort_by_key(|(score, _)| score * -1);
 
         results
             .iter()
@@ -48,8 +48,8 @@ impl Query {
             .collect::<Vec<Texture>>()
     }
 
-    fn required_score(&self) -> u64 {
-        let non_special = self.filters.iter().filter(|f| !f.is_special()).count() as u64;
+    fn required_score(&self) -> i64 {
+        let non_special = self.filters.iter().filter(|f| !f.is_special()).count() as i64;
 
         // ceil(non_special / 2)
         (non_special + 1) / 2
@@ -66,3 +66,100 @@ impl Query {
         Ok(result)
     }
 }
+
+#[cfg(test)]
+/// These tests check against the example section in the search design document.
+mod test {
+    use super::*;
+    use std::str::FromStr;
+
+    /// just a shorthand
+    fn tex(id: i32, name: &str, tags: &str, added_on: &str, resolution: u64) -> Texture {
+        Texture {
+            id: format!("{}", id), // Id should actaly be a uuid, but for testing this is fine.
+            name: name.to_string(),
+            tags: tags.split(",").map(|s| s.trim().to_string()).collect(),
+            added_on: Date::from_str(added_on).unwrap(),
+            resolution: (resolution, resolution),
+            format: TextureFormat::JPEG,
+            texture_hash: Sha256::from_data(b"Some Hash"),
+        }
+    }
+
+    // data of example section of search document.
+    fn test_data() -> Vec<Texture> {
+        vec![
+            tex(
+                1,
+                "wood_185841",
+                "Holz, Dunkel, Rot, Edel",
+                "2019-05-15",
+                4 * 1024,
+            ),
+            tex(2, "wood_84846", "Holz, Hell", "2019-05-13", 2 * 1024),
+            tex(3, "silk_large", "Stoff, Rot, Edel", "2018-01-01", 8 * 1024),
+            tex(4, "cotton_xxx", "Stoff, Rot, Rau", "2018-02-01", 2048),
+            tex(5, "green_frabric", "Grün, Stoff", "2018-03-01", 1024),
+            tex(6, "tin54_45", "Metall, Hell", "2018-03-01", 4 * 1024),
+            tex(7, "copper4_1k", "Rot, Metall", "2016-03-01", 1024),
+            tex(
+                8,
+                "rusty_metall",
+                "Rot, Metall, Rost, Dunkel",
+                "2015-03-01",
+                8 * 1024,
+            ),
+        ]
+    }
+
+    fn assert_query(query: &str, expected: Vec<u8>) {
+        let q = Query::parse(
+            &query
+                .split_whitespace()
+                .map(|s| s.to_string())
+                .collect::<Vec<String>>(),
+        )
+        .unwrap();
+
+        let data = test_data();
+
+        let result = q.search(&mut data.iter());
+
+        let only_ids = result
+            .into_iter()
+            .map(|tex| tex.id.parse::<u8>().unwrap())
+            .collect::<Vec<u8>>();
+
+        assert_eq!(only_ids, expected)
+    }
+
+    #[test]
+    fn test_examples_from_doc_1() {
+        assert_query("Holz Dunkel", vec![1, 2, 8]);
+    }
+
+    #[test]
+    fn test_examples_from_doc_2() {
+        assert_query("n:wood_", vec![1, 2]);
+    }
+
+    #[test]
+    fn test_examples_from_doc_3() {
+        assert_query("before:2019-05-31 after:2019-04-30", vec![1, 2]);
+    }
+
+    #[test]
+    fn test_examples_from_doc_4() {
+        assert_query("Stoff Rot Edel", vec![3, 4, 1]);
+    }
+
+    #[test]
+    fn test_examples_from_doc_5() {
+        assert_query("Stoff Rot !Edel", vec![4, 3, 5, 7, 8]);
+    }
+
+    #[test]
+    fn test_examples_from_doc_6() {
+        assert_query("Metall Dunkel res:4k", vec![8, 6, 1]);
+    }
+}