🚀 Here's the PR! #67

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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.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/julep-ai/infuse/blob/01f5bad6fbb232346cca96590a3db211c299f4b9/agents-api/agents_api/models/agent/create_agent.py#L1-L75 https://github.com/julep-ai/infuse/blob/01f5bad6fbb232346cca96590a3db211c299f4b9/agents-api/README.md#L1-L175

Step 2: ⌨️ Coding

[X] Modify agents-api/agents_api/models/agent/create_agent.py ✓ https://github.com/julep-ai/infuse/commit/ac8a8b485b6a68683c07cebe074f5c6cf3e13a9b Edit

Modify agents-api/agents_api/models/agent/create_agent.py with contents:
• At the top of the `create_agent.py` file, add a module-level docstring that explains the module's purpose. For example: ```python """ This module contains the functionality for creating agents in the CozoDB database. It includes functions to construct and execute datalog queries for inserting new agent records. """ ```
• Directly above the `create_agent_query` function definition, add a docstring that describes the function's purpose, its parameters, and its return type. For example: ```python """ Constructs and executes a datalog query to create a new agent in the database. Parameters: - agent_id (UUID): The unique identifier for the agent. - developer_id (UUID): The unique identifier for the developer creating the agent. - name (str): The name of the agent. - about (str): A description of the agent. - instructions (list[str], optional): A list of instructions for using the agent. Defaults to an empty list. - model (str, optional): The model identifier for the agent. Defaults to "julep-ai/samantha-1-turbo". - metadata (dict, optional): A dictionary of metadata for the agent. Defaults to an empty dict. - default_settings (dict, optional): A dictionary of default settings for the agent. Defaults to an empty dict. - client (CozoClient, optional): The CozoDB client instance to use for the query. Defaults to a preconfigured client instance. Returns: pd.DataFrame: A DataFrame containing the results of the query execution. """ ```
• Add inline comments to complex or non-obvious parts of the `create_agent_query` function, especially where datalog queries are constructed and executed. For example, before the construction of `default_settings_query` and `agent_query`, add comments explaining what each query does: ```python # Construct a query to insert default settings for the new agent ``` ```python # Construct a query to insert the new agent record into the agents table ```
• Ensure that all added comments and docstrings are concise, relevant, and do not introduce any changes to the code's logic.

--- 
+++ 
@@ -1,3 +1,8 @@
+"""
+This module contains the functionality for creating agents in the CozoDB database.
+It includes functions to construct and execute datalog queries for inserting new agent records.
+"""
+
 from uuid import UUID

 import pandas as pd
@@ -7,6 +12,23 @@
 from ...common.utils.cozo import cozo_process_mutate_data

+"""
+Constructs and executes a datalog query to create a new agent in the database.
+
+Parameters:
+- agent_id (UUID): The unique identifier for the agent.
+- developer_id (UUID): The unique identifier for the developer creating the agent.
+- name (str): The name of the agent.
+- about (str): A description of the agent.
+- instructions (list[str], optional): A list of instructions for using the agent. Defaults to an empty list.
+- model (str, optional): The model identifier for the agent. Defaults to "julep-ai/samantha-1-turbo".
+- metadata (dict, optional): A dictionary of metadata for the agent. Defaults to an empty dict.
+- default_settings (dict, optional): A dictionary of default settings for the agent. Defaults to an empty dict.
+- client (CozoClient, optional): The CozoDB client instance to use for the query. Defaults to a preconfigured client instance.
+
+Returns:
+pd.DataFrame: A DataFrame containing the results of the query execution.
+"""
 def create_agent_query(
     agent_id: UUID,
     developer_id: UUID,
@@ -27,6 +49,7 @@
         }
     )

+    # Construct a query to insert default settings for the new agent
     # Create default agent settings
     default_settings_query = f"""
         ?[{settings_cols}] <- $settings_vals
@@ -36,6 +59,7 @@
         }}
     """
     # create the agent
+    # Construct a query to insert the new agent record into the agents table
     agent_query = """
         ?[agent_id, developer_id, model, name, about, metadata, instructions] <- [
             [$agent_id, $developer_id, $model, $name, $about, $metadata, $instructions]

[X] Running GitHub Actions for agents-api/agents_api/models/agent/create_agent.py ✓ Edit
Check agents-api/agents_api/models/agent/create_agent.py with contents:

Ran GitHub Actions for ac8a8b485b6a68683c07cebe074f5c6cf3e13a9b:

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_1d540.

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julep-ai / julep

Sweep: Add docstrings and comments to agents-api/agents_api/models/agent/create_agent.py #64

🚀 Here's the PR! #67

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Step 2: ⌨️ Coding

Step 3: 🔁 Code Review