🚀 Here's the PR! #68

See Sweep's progress at the progress dashboard!

💎 Sweep Pro: I'm using GPT-4. You have unlimited GPT-4 tickets. (tracking ID: d947d5fbfc)

[!TIP] I can email you next time I complete a pull request if you set up your email here!

Actions (click)

[ ] ↻ Restart Sweep

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/f6b5b6eb9f19e096265b4b05a6f31e063317ba32 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,
@@ -28,6 +50,7 @@
     )

     # Create default agent settings
+    # Construct a query to insert default settings for the new agent
     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 f6b5b6eb9f19e096265b4b05a6f31e063317ba32:

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_bf351.

🎉 Latest improvements to Sweep:

New dashboard launched for real-time tracking of Sweep issues, covering all stages from search to coding.
Integration of OpenAI's latest Assistant API for more efficient and reliable code planning and editing, improving speed by 3x.
Use the GitHub issues extension for creating Sweep issues directly from your editor.

💡 To recreate the pull request edit the issue title or description. ^{Something wrong? Let us know.}

This is an automated message generated by Sweep AI.

julep-ai / julep

Sweep: Add docstrings and comments to agents-api/agents_api/models/agent/create_agent.py #62

🚀 Here's the PR! #68

Actions (click)

Step 1: 🔎 Searching

Step 2: ⌨️ Coding

Step 3: 🔁 Code Review