lint

Author: blink1073

.evergreen/config.yml

@@ -567,4 +567,4 @@ buildvariants:
     run_on:
       - ubuntu2204-small
     tasks:
-      - name: test-self-community
+      - name: test-self-community

.evergreen/lint_config.py

@@ -16,7 +16,7 @@
 
 CURRENT_DIR = Path(__file__).parent.resolve()
 CONFIG_YML = CURRENT_DIR / "config.yml"
-VALID_LANGUAGES = {"python", "golang", "javascript", "csharp"}
+VALID_LANGUAGES = {"python", "golang", "javascript", "csharp", "self"}
 
 
 def load_yaml_file(file_path: str) -> Dict[Any, Any]:

.evergreen/mongodb-community-search/config.env

@@ -1,2 +1,2 @@
 DATABASE=test
-REPO_NAME=.
+REPO_NAME=.

.evergreen/mongodb-community-search/mongot.conf

@@ -23,4 +23,4 @@ logging:
 embedding:
    queryKeyFile: /etc/voyage-api-query-key
    indexingKeyFile: /etc/voyage-api-indexing-key
-   providerEndpoint: https://api.voyageai.com/v1/embeddings
+   providerEndpoint: https://api.voyageai.com/v1/embeddings

.evergreen/mongodb-community-search/run.sh

@@ -2,7 +2,7 @@
 set -eu
 
 SCRIPT_DIR=$(realpath "$(dirname ${BASH_SOURCE[0]})")
-ROOT_DIR=$(dirname $(dirname $SCRIPT_DIR))
+ROOT_DIR=$(dirname "$(dirname $SCRIPT_DIR)")
 
 . $ROOT_DIR/env.sh
 . $ROOT_DIR/.evergreen/utils.sh
@@ -18,4 +18,4 @@ source .venv/bin/activate
 pip install pymongo
 
 python self_test.py
-popd
+popd

.evergreen/mongodb-community-search/self_test.py

@@ -40,39 +40,42 @@
 )
 
 # Create auto-embed index (private preview-style syntax)
-movies.create_search_index(model=SearchIndexModel(
-    name="auto_embed_plot_index",
-    type="vectorSearch",
-    definition={
-        "fields": [
-            {
-                "type": "text",
-                "path": "plot",
-                "model": "voyage-3-large",
-            },
-        ],
-    })
+movies.create_search_index(
+    model=SearchIndexModel(
+        name="auto_embed_plot_index",
+        type="vectorSearch",
+        definition={
+            "fields": [
+                {
+                    "type": "text",
+                    "path": "plot",
+                    "model": "voyage-3-large",
+                },
+            ],
+        },
+    )
 )
 
 # Create normal vector index
-movies.create_search_index(model=SearchIndexModel(
-    name="plot_vector_index",
-    type="vectorSearch",
-    definition={
-        "fields": [
-            {
-                "type": "vector",
-                "path": "plot_embeddings",
-                "numDimensions": 1024,
-                "similarity": "cosine",
-                "quantization": "none",
-            },
-        ],
-    })
+movies.create_search_index(
+    model=SearchIndexModel(
+        name="plot_vector_index",
+        type="vectorSearch",
+        definition={
+            "fields": [
+                {
+                    "type": "vector",
+                    "path": "plot_embeddings",
+                    "numDimensions": 1024,
+                    "similarity": "cosine",
+                    "quantization": "none",
+                },
+            ],
+        },
+    )
 )
 
 
-
 # Run vector search aggregation using auto-embed index
 cursor = movies.aggregate(
     [
@@ -90,4 +93,4 @@
 
 for doc in cursor:
     print(doc)
-    assert doc['title'] == "Breathe"
+    assert doc["title"] == "Breathe"

.pre-commit-config.yaml

@@ -53,6 +53,7 @@ repos:
     rev: "v2.2.6"
     hooks:
       - id: codespell
+        args: ["-L", "damon"]
 
   - repo: local
     hooks:
@@ -61,4 +62,4 @@ repos:
         entry: python3 .evergreen/lint_config.py
         language: system
         files: .evergreen/config.yml
-        args: ['--languages=python,golang,javascript,csharp']
+        args: ['--languages=python,golang,javascript,csharp,self']