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Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Step 2: ⌨️ Coding

• Modify agents-api/agents_api/models/agent/patch_agent.py ✓ 4cc724a Edit

Modify agents-api/agents_api/models/agent/patch_agent.py with contents:
• At the top of the file, add a docstring explaining the purpose of the file. For example: """This module contains functions for patching agent data in the cozodb database. It includes utilities for generating and executing datalog queries."""
• Add a docstring to the "patch_agent_query" function describing its purpose, parameters, and return type. For example: """Patches agent data based on provided updates. Parameters: agent_id (UUID): The unique identifier for the agent. developer_id (UUID): The unique identifier for the developer. default_settings (dict, optional): Default settings to apply to the agent. **update_data: Arbitrary keyword arguments representing data to update. Returns: pd.DataFrame: The result of the query execution."""
• Add a comment before the agent update query construction (line 25) explaining the query's purpose. For example: "# Construct the query for updating agent information in the database."
• Add a comment before the settings update query construction (line 45) explaining the query's purpose. For example: "# Construct the query for updating agent's default settings in the database."
• Add a comment before combining the queries (line 57) to explain why and how the queries are combined. For example: "# Combine agent and settings update queries if default settings are provided."
• Ensure that all added comments and docstrings are concise and do not introduce any changes to the code's logic or functionality.

--- 
+++ 
@@ -13,6 +13,18 @@
     default_settings: dict = {},
     **update_data,
 ) -> pd.DataFrame:
+    """Patches agent data based on provided updates.
+
+    Parameters:
+    agent_id (UUID): The unique identifier for the agent.
+    developer_id (UUID): The unique identifier for the developer.
+    default_settings (dict, optional): Default settings to apply to the agent.
+    **update_data: Arbitrary keyword arguments representing data to update.
+
+    Returns:
+    pd.DataFrame: The result of the query execution.
+    """
+    # Construct the query for updating agent information in the database.
     # Agent update query
     agent_update_cols, agent_update_vals = cozo_process_mutate_data(
         {
@@ -35,6 +47,7 @@
     }}
     """
 
+    # Construct the query for updating agent's default settings in the database.
     # Settings update query
     settings_cols, settings_vals = cozo_process_mutate_data(
         {
@@ -54,6 +67,7 @@
     }}
     """
 
+    # Combine agent and settings update queries if default settings are provided.
     # Combine the queries
     queries = [agent_update_query]
 

• Running GitHub Actions for agents-api/agents_api/models/agent/patch_agent.py ✓ Edit

Check agents-api/agents_api/models/agent/patch_agent.py with contents:

Ran GitHub Actions for 4cc724afe0bf3c5e02d0428a9e5c4e50abb83a7c:

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/add_docstrings_and_comments_to_agentsapi_51adf.

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