fix: VectorCache from Json parse error in sync command

codeqai/app.py

@@ -140,6 +140,7 @@ def run():
         vector_store.sync_documents(documents)
         save_vector_cache(vector_store.vector_cache, f"{repo_name}.json")
         spinner.stop()
+        print("⚙️  Vector store synced with current git checkout.")
 
     llm = LLM(
         llm_host=LlmHost[config["llm-host"].upper().replace("-", "_")],
@@ -156,6 +157,8 @@ def run():
     console = Console()
     while True:
         choice = None
+        if args.action == "sync":
+            break
         if args.action == "search":
             search_pattern = input("🔎 Enter a search pattern: ")
             spinner = yaspin(text="🤖 Processing...", color="green")

codeqai/cache.py

@@ -2,6 +2,7 @@
 import os
 import platform
 from pathlib import Path
+from typing import Dict
 
 
 class VectorCache:
@@ -11,7 +12,7 @@ def __init__(self, filename, vector_ids, commit_hash):
         self.commit_hash = commit_hash
 
     @classmethod
-    def from_json(cls, json_data):
+    def from_json(cls, json_data) -> "VectorCache":
         filename = json_data.get("filename")
         vector_ids = json_data.get("vector_ids", [])
         commit_hash = json_data.get("commit_hash", "")
@@ -25,9 +26,12 @@ def to_json(self):
         }
 
 
-def load_vector_cache(filename):
+def load_vector_cache(filename) -> Dict[str, VectorCache]:
     with open(get_cache_path() + "/" + filename, "r") as vector_cache_file:
-        vector_cache = json.load(vector_cache_file, object_hook=VectorCache.from_json)
+        vector_cache_json = json.load(vector_cache_file)
+    vector_cache = {}
+    for key, value in vector_cache_json.items():
+        vector_cache[key] = VectorCache.from_json(value)
     return vector_cache
 
 

tests/vector_store_test.py

@@ -37,19 +37,12 @@ def test_sync_documents(modified_vector_entries, vector_entries, vector_cache):
     assert len(vector_store.db.index_to_docstore_id) == 4
     vector_store.vector_cache = vector_cache
 
-    for id in vector_store.db.index_to_docstore_id.values():
-        print(vector_store.db.docstore.search(id))
-
     for vector_id in vector_store.db.index_to_docstore_id.values():
         vector_store.vector_cache[
             vector_store.db.docstore.search(vector_id).metadata["filename"]
         ].vector_ids.append(vector_id)
     vector_store.sync_documents(modified_vector_entries)
 
-    print("After sync")
-    for id in vector_store.db.index_to_docstore_id.values():
-        print(vector_store.db.docstore.search(id))
-
     assert len(vector_store.db.index_to_docstore_id) == 5
 
     for vector_id in vector_store.db.index_to_docstore_id.values():