Improve TinyDB performance for *_ground_truth

great_ai/persistence/parallel_tinydb_driver.py

@@ -63,15 +63,11 @@ def does_match(d: Dict[str, Any]) -> bool:
                 )
             )
 
-        documents: List[Trace] = [
-            Trace.parse_obj(t)
-            for t in self._safe_execute(lambda db: db.search(does_match))
-        ]
-
+        documents = self._safe_execute(lambda db: db.search(does_match))
         if not documents:
             return [], 0
 
-        df = pd.DataFrame([d.to_flat_dict() for d in documents])
+        df = pd.DataFrame(documents)
 
         for f in conjunctive_filters:
             operator = f.operator.lower()
@@ -91,10 +87,7 @@ def does_match(d: Dict[str, Any]) -> bool:
 
         count = len(df)
         result = df.iloc[skip:] if take is None else df.iloc[skip : skip + take]
-        return [
-            next(d for d in documents if d.trace_id == trace_id)
-            for trace_id in result["trace_id"]
-        ], count
+        return [Trace.parse_obj(trace) for _, trace in result.iterrows()], count
 
     def update(self, id: str, new_version: Trace) -> None:
         self._safe_execute(
@@ -105,8 +98,10 @@ def delete(self, id: str) -> None:
         self._safe_execute(lambda db: db.remove(lambda d: d["trace_id"] == id))
 
     def delete_batch(self, ids: List[str]) -> None:
-        for i in ids:
-            self.delete(i)
+        with lock:
+            with TinyDB(self.path_to_db) as db:
+                for id in ids:
+                    db.remove(lambda d: d["trace_id"] == id)
 
     def _safe_execute(self, func: Callable[[TinyDB], Any]) -> Any:
         with lock: