add a batch of tests

meilisearch/tests/vector/mod.rs

@@ -1,5 +1,8 @@
+mod settings;
+
 use meili_snap::{json_string, snapshot};
 
+use crate::common::index::Index;
 use crate::common::{GetAllDocumentsOptions, Server};
 use crate::json;
 
@@ -147,3 +150,78 @@ async fn add_remove_user_provided() {
     }
     "###);
 }
+
+async fn generate_default_user_provided_documents(server: &Server) -> Index {
+    let index = server.index("doggo");
+    let (value, code) = server.set_features(json!({"vectorStore": true})).await;
+    snapshot!(code, @"200 OK");
+    snapshot!(value, @r###"
+    {
+      "vectorStore": true,
+      "metrics": false,
+      "logsRoute": false
+    }
+    "###);
+
+    let (response, code) = index
+        .update_settings(json!({
+          "embedders": {
+              "manual": {
+                  "source": "userProvided",
+                  "dimensions": 3,
+              }
+          },
+        }))
+        .await;
+    snapshot!(code, @"202 Accepted");
+    server.wait_task(response.uid()).await;
+
+    let documents = json!([
+      {"id": 0, "name": "kefir", "_vectors": { "manual": [0, 0, 0] }},
+      {"id": 1, "name": "echo", "_vectors": { "manual": [1, 1, 1] }},
+      {"id": 2, "name": "billou", "_vectors": { "manual": [[2, 2, 2], [2, 2, 3]] }},
+      {"id": 3, "name": "intel", "_vectors": { "manual": { "userProvided": true, "embeddings": [3, 3, 3] }}},
+      {"id": 4, "name": "max", "_vectors": { "manual": { "userProvided": true, "embeddings": [[4, 4, 4], [4, 4, 5]] }}},
+    ]);
+    let (value, code) = index.add_documents(documents, None).await;
+    snapshot!(code, @"202 Accepted");
+    index.wait_task(value.uid()).await;
+
+    index
+}
+
+#[actix_rt::test]
+async fn clear_documents() {
+    let server = Server::new().await;
+    let index = generate_default_user_provided_documents(&server).await;
+
+    let (value, _code) = index.clear_all_documents().await;
+    index.wait_task(value.uid()).await;
+
+    // Make sure the documents DB has been cleared
+    let (documents, _code) = index
+        .get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
+        .await;
+    snapshot!(json_string!(documents), @r###"
+    {
+      "results": [],
+      "offset": 0,
+      "limit": 20,
+      "total": 0
+    }
+    "###);
+
+    // Make sure the arroy DB has been cleared
+    let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
+    snapshot!(json_string!(documents), @r###"
+    {
+      "hits": [],
+      "query": "",
+      "processingTimeMs": 0,
+      "limit": 20,
+      "offset": 0,
+      "estimatedTotalHits": 0,
+      "semanticHitCount": 0
+    }
+    "###);
+}