Enhance Code Consistency Across Repository with .editorconfig (#19023)

api/core/rag/retrieval/template_prompts.py

@@ -50,7 +50,7 @@ You are a text metadata extract engine that extract text's metadata based on use
 # Your task is to ONLY extract the metadatas that exist in the input text from the provided metadata list and Use the following operators ["=", "!=", ">", "<", ">=", "<="] to express logical relationships, then return result in JSON format with the key "metadata_fields" and value "metadata_field_value" and comparison operator "comparison_operator".
 ### Format
 The input text is in the variable input_text. Metadata are specified as a list in the variable metadata_fields.
-### Constraint 
+### Constraint
 DO NOT include anything other than the JSON array in your response.
 ### Example
 Here is the chat example between human and assistant, inside <example></example> XML tags.
@@ -59,7 +59,7 @@ User:{{"input_text": ["I want to know which company’s email address test@examp
 Assistant:{{"metadata_map": [{{"metadata_field_name": "email", "metadata_field_value": "test@example.com", "comparison_operator": "="}}]}}
 User:{{"input_text": "What are the movies with a score of more than 9 in 2024?", "metadata_fields": ["name", "year", "rating", "country"]}}
 Assistant:{{"metadata_map": [{{"metadata_field_name": "year", "metadata_field_value": "2024", "comparison_operator": "="}, {{"metadata_field_name": "rating", "metadata_field_value": "9", "comparison_operator": ">"}}]}}
-</example> 
+</example>
 ### User Input
 {{"input_text" : "{input_text}", "metadata_fields" : {metadata_fields}}}
 ### Assistant Output