Fix formatting issues to pass pre-commit checks

Author: codegen-sh[bot]

codegen-examples/examples/Deployer.sh

@@ -38,24 +38,24 @@ deploy_examples() {
     local examples=("$@")
     local pids=()
     local results=()
-    
+
     echo -e "${BLUE}Starting deployment of ${#examples[@]} examples...${NC}"
-    
+
     # Start all deployments in the background
     for example in "${examples[@]}"; do
         local example_dir=$(dirname "$example")
         local example_name=$(basename "$example_dir")
-        
+
         echo -e "${YELLOW}Deploying ${example_name}...${NC}"
-        
+
         # Change to the example directory and run deploy.sh
         (cd "$example_dir" && ./deploy.sh > /tmp/deploy_${example_name}.log 2>&1)&
-        
+
         # Store the PID and example name
         pids+=($!)
         results+=("$example_name")
     done
-    
+
     # Wait for all deployments to finish
     for i in "${!pids[@]}"; do
         if wait "${pids[$i]}"; then
@@ -65,7 +65,7 @@ deploy_examples() {
             echo -e "${YELLOW}See log at /tmp/deploy_${results[$i]}.log${NC}"
         fi
     done
-    
+
     echo -e "${BLUE}All deployments completed.${NC}"
 }
 
@@ -74,29 +74,29 @@ main() {
     # Check if Modal CLI is installed and authenticated
     check_modal_cli
     check_modal_auth
-    
+
     # Find all examples with deploy.sh scripts
     examples=($(find_examples))
-    
+
     if [ ${#examples[@]} -eq 0 ]; then
         echo -e "${RED}No examples with deploy.sh scripts found.${NC}"
         exit 1
     fi
-    
+
     # Display the list of available examples
     echo -e "${BLUE}Available examples:${NC}"
     for i in "${!examples[@]}"; do
         local example_dir=$(dirname "${examples[$i]}")
         local example_name=$(basename "$example_dir")
         echo -e "${YELLOW}$((i+1)).${NC} $example_name"
     done
-    
+
     # Prompt for selection
     echo -e "${BLUE}Enter the numbers of the examples you want to deploy (space-separated), or 'all' for all examples:${NC}"
     read -r selection
-    
+
     selected_examples=()
-    
+
     if [ "$selection" == "all" ]; then
         selected_examples=("${examples[@]}")
     else
@@ -109,28 +109,28 @@ main() {
             fi
         done
     fi
-    
+
     if [ ${#selected_examples[@]} -eq 0 ]; then
         echo -e "${RED}No valid examples selected.${NC}"
         exit 1
     fi
-    
+
     # Confirm the selection
     echo -e "${BLUE}You selected the following examples:${NC}"
     for example in "${selected_examples[@]}"; do
         local example_dir=$(dirname "$example")
         local example_name=$(basename "$example_dir")
         echo -e "${YELLOW}•${NC} $example_name"
     done
-    
+
     echo -e "${BLUE}Do you want to deploy these examples? (y/n)${NC}"
     read -r confirm
-    
+
     if [ "$confirm" != "y" ] && [ "$confirm" != "Y" ]; then
         echo -e "${RED}Deployment cancelled.${NC}"
         exit 0
     fi
-    
+
     # Deploy the selected examples
     deploy_examples "${selected_examples[@]}"
 }

codegen-examples/examples/README.md

@@ -65,8 +65,8 @@ These examples demonstrate how to integrate Codegen with other tools:
 Before running these examples, ensure you have:
 
 1. Python 3.10+ installed
-2. Codegen SDK installed: `pip install codegen==0.52.19`
-3. For Modal examples, Modal CLI installed: `pip install modal`
+1. Codegen SDK installed: `pip install codegen==0.52.19`
+1. For Modal examples, Modal CLI installed: `pip install modal`
 
 ## Using the Deployer Script
 
@@ -75,20 +75,23 @@ The `Deployer.sh` script allows you to interactively select and deploy multiple
 To use it:
 
 1. Make sure the script is executable:
+
    ```bash
    chmod +x Deployer.sh
    ```
 
-2. Run the script:
+1. Run the script:
+
    ```bash
    ./Deployer.sh
    ```
 
-3. Select the examples you want to deploy when prompted:
+1. Select the examples you want to deploy when prompted:
+
    - Enter the numbers of the examples (space-separated)
    - Or enter 'all' to deploy all examples
 
-4. Confirm your selection
+1. Confirm your selection
 
 The script will deploy the selected examples concurrently and show the deployment status.
 
@@ -97,4 +100,3 @@ The script will deploy the selected examples concurrently and show the deploymen
 - [Codegen Documentation](https://docs.codegen.com)
 - [Modal Documentation](https://modal.com/docs/guide)
 - [Codegen GitHub Repository](https://github.com/Zeeeepa/codegen)
-

codegen-examples/examples/hello_world/README.md

@@ -12,6 +12,7 @@ This is a simple example that demonstrates how to deploy a basic Modal applicati
 ## Prerequisites
 
 Before you begin, ensure you have the following installed:
+
 - Python 3.10+
 - [Modal CLI](https://modal.com/docs/guide/cli-reference)
 - [Codegen SDK](https://docs.codegen.com)
@@ -65,8 +66,8 @@ The web endpoint returns a JSON response with the following structure:
 This example includes three main components:
 
 1. **Regular Function**: `hello()` - A simple function that returns a greeting
-2. **Web Endpoint**: `web_hello()` - A web endpoint that returns a JSON greeting
-3. **Scheduled Function**: `scheduled_hello()` - A function that runs every hour
+1. **Web Endpoint**: `web_hello()` - A web endpoint that returns a JSON greeting
+1. **Scheduled Function**: `scheduled_hello()` - A function that runs every hour
 
 ## Local Testing
 
@@ -83,16 +84,15 @@ This will run the application locally and call the `hello()` function with the a
 You can customize this example by:
 
 1. Adding more functions to the Modal app
-2. Changing the schedule for the scheduled function
-3. Adding more complex logic to the functions
-4. Integrating with other Codegen features
+1. Changing the schedule for the scheduled function
+1. Adding more complex logic to the functions
+1. Integrating with other Codegen features
 
 ## Troubleshooting
 
 If you encounter issues:
 
 1. Ensure you have the correct version of Modal and Codegen installed
-2. Check that you're authenticated with Modal
-3. Verify that the Modal CLI is installed correctly
-4. Check the Modal logs for detailed error information
-
+1. Check that you're authenticated with Modal
+1. Verify that the Modal CLI is installed correctly
+1. Check the Modal logs for detailed error information

codegen-examples/examples/hello_world/app.py

@@ -10,20 +10,23 @@
 # Create an image with Python dependencies
 image = modal.Image.debian_slim().pip_install(["codegen==0.52.19"])
 
+
 # Define a function that will run on Modal
 @app.function(image=image)
 def hello(name: str = "world"):
     """Say hello to someone."""
     print(f"Hello, {name}!")
     return f"Hello, {name}!"
 
+
 # Define a web endpoint
 @app.function(image=image, keep_warm=1)
 @modal.web_endpoint(method="GET")
 def web_hello(name: str = "world"):
     """Web endpoint that says hello to someone."""
     return {"message": f"Hello, {name}!"}
 
+
 # Define a scheduled function that runs every hour
 @app.function(image=image)
 @modal.schedule(rate="1 hour")
@@ -32,10 +35,10 @@ def scheduled_hello():
     print("Hello, it's time for a scheduled greeting!")
     return "Hello, it's time for a scheduled greeting!"
 
+
 if __name__ == "__main__":
     # This block is executed when running the script directly
     with app.run():
         # Call the function locally
         result = hello.remote("Modal")
         print(f"Result from remote function: {result}")
-

codegen-examples/examples/linear_webhooks/README.md

@@ -12,6 +12,7 @@ This example demonstrates how to deploy a Modal application that handles Linear
 ## Prerequisites
 
 Before you begin, ensure you have the following installed:
+
 - Python 3.10+
 - [Modal CLI](https://modal.com/docs/guide/cli-reference)
 - [Codegen SDK](https://docs.codegen.com)
@@ -57,12 +58,12 @@ This will deploy the application to Modal and provide you with a URL to configur
 ## Linear Webhook Configuration
 
 1. Go to your Linear workspace settings
-2. Navigate to "API" > "Webhooks"
-3. Click "New Webhook"
-4. Enter the URL provided by the deployment script
-5. Select the events you want to receive (e.g., "Issues")
-6. Copy the webhook secret and add it to your `.env` file
-7. Click "Create webhook"
+1. Navigate to "API" > "Webhooks"
+1. Click "New Webhook"
+1. Enter the URL provided by the deployment script
+1. Select the events you want to receive (e.g., "Issues")
+1. Copy the webhook secret and add it to your `.env` file
+1. Click "Create webhook"
 
 ## Customizing Event Handlers
 
@@ -78,6 +79,7 @@ def handle_comment(self, data: dict):
 ## Available Event Types
 
 Linear supports the following event types:
+
 - Issue
 - Comment
 - Project
@@ -94,15 +96,14 @@ Linear supports the following event types:
 If you encounter issues:
 
 1. Ensure you have the correct version of Modal and Codegen installed
-2. Check that you're authenticated with Modal
-3. Verify that your Linear API key and webhook secret are correct
-4. Check the Modal logs for detailed error information
-5. Verify that the webhook URL is correctly configured in Linear
+1. Check that you're authenticated with Modal
+1. Verify that your Linear API key and webhook secret are correct
+1. Check the Modal logs for detailed error information
+1. Verify that the webhook URL is correctly configured in Linear
 
 ## Security Considerations
 
 - Keep your Linear API key and webhook secret secure
 - Use environment variables for sensitive information
 - Consider adding authentication to your webhook endpoint
 - Validate webhook signatures to ensure requests are coming from Linear
-

codegen-examples/examples/linear_webhooks/deploy.sh

@@ -25,13 +25,13 @@ fi
 if [ ! -f .env ]; then
     echo -e "${YELLOW}Warning: .env file not found.${NC}"
     echo -e "Creating .env file from template..."
-    
+
     if [ -f .env.template ]; then
         cp .env.template .env
         echo -e "${YELLOW}Please edit the .env file with your Linear API key and webhook secret.${NC}"
         echo -e "Do you want to continue with deployment? (y/n)"
         read -r continue
-        
+
         if [ "$continue" != "y" ] && [ "$continue" != "Y" ]; then
             echo -e "${RED}Deployment cancelled.${NC}"
             exit 0

codegen-examples/examples/modal_repo_analytics/README.md

@@ -12,6 +12,7 @@ This example demonstrates how to deploy a Modal application that uses Codegen to
 ## Prerequisites
 
 Before you begin, ensure you have the following installed:
+
 - Python 3.10+
 - [Modal CLI](https://modal.com/docs/guide/cli-reference)
 - [Codegen SDK](https://docs.codegen.com)
@@ -71,15 +72,14 @@ If there's an error, the `status` field will be set to `"error"` and the `error`
 You can customize this example by:
 
 1. Adding more metrics to the `RepoMetrics` model
-2. Extending the `analyze_repo` function to extract additional information
-3. Adding authentication to the API endpoint
+1. Extending the `analyze_repo` function to extract additional information
+1. Adding authentication to the API endpoint
 
 ## Troubleshooting
 
 If you encounter issues:
 
 1. Ensure you have the correct version of Modal and Codegen installed
-2. Check that you're authenticated with Modal
-3. Verify that the repository name is in the correct format (`owner/repo`)
-4. Check the Modal logs for detailed error information
-
+1. Check that you're authenticated with Modal
+1. Verify that the repository name is in the correct format (`owner/repo`)
+1. Check the Modal logs for detailed error information

codegen-examples/examples/modal_repo_rag/README.md

@@ -13,6 +13,7 @@ This example demonstrates how to deploy a Modal application that uses Codegen's
 ## Prerequisites
 
 Before you begin, ensure you have the following installed:
+
 - Python 3.10+
 - [Modal CLI](https://modal.com/docs/guide/cli-reference)
 - [Codegen SDK](https://docs.codegen.com)
@@ -47,9 +48,10 @@ You can deploy this example to Modal using the provided deploy script:
 ```
 
 This will:
+
 1. Create a Modal volume for storing vector indices (if it doesn't exist)
-2. Deploy the application to Modal
-3. Provide you with a URL to access the API
+1. Deploy the application to Modal
+1. Provide you with a URL to access the API
 
 ## Usage
 
@@ -93,25 +95,24 @@ If there's an error, the `status` field will be set to `"error"` and the `error`
 ## How It Works
 
 1. The application creates or loads a vector index for the specified repository
-2. When a question is asked, it finds the most relevant code snippets using semantic search
-3. It then uses OpenAI's API to generate an answer based on the retrieved code context
-4. The vector indices are stored in a Modal volume for persistence between runs
+1. When a question is asked, it finds the most relevant code snippets using semantic search
+1. It then uses OpenAI's API to generate an answer based on the retrieved code context
+1. The vector indices are stored in a Modal volume for persistence between runs
 
 ## Customization
 
 You can customize this example by:
 
 1. Changing the LLM model (currently uses GPT-4 Turbo)
-2. Adjusting the number of context snippets retrieved
-3. Modifying the prompt template for better answers
-4. Adding authentication to the API endpoint
+1. Adjusting the number of context snippets retrieved
+1. Modifying the prompt template for better answers
+1. Adding authentication to the API endpoint
 
 ## Troubleshooting
 
 If you encounter issues:
 
 1. Ensure you have the correct version of Modal and Codegen installed
-2. Check that you're authenticated with Modal
-3. Verify that your OpenAI API key is set correctly
-4. Check the Modal logs for detailed error information
-
+1. Check that you're authenticated with Modal
+1. Verify that your OpenAI API key is set correctly
+1. Check the Modal logs for detailed error information