Tower: upload cetmix_tower_aws 18.0.1.0.1 (was 18.0.1.0.1, via marketplace)

addons/cetmix_tower_aws/readme/CONFIGURE.md

@@ -0,0 +1,42 @@
+**Prerequisites**
+
+The module has `boto3` defined in its external dependencies, which means, you should install the Python `boto3` package manually if you don't have automatic package installation configured in your Odoo environment. Run `pip install boto3` to install it.  
+
+**Setting up AWS Access**
+
+1. **Create AWS Access Keys**
+
+   To use the AWS integration with Cetmix Tower, you need to create AWS access keys:
+   
+   - Follow the [official AWS documentation](https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html) (https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html) for creating IAM access keys
+   - It's recommended to create a dedicated IAM user with appropriate permissions for Cetmix Tower
+   - Store your access key ID and secret access key securely - you'll need them in the next step
+
+2. **Configure AWS Secrets in Cetmix Tower**
+
+   Create two secrets in Cetmix Tower to store your AWS credentials:
+   
+   - Navigate to `Cetmix Tower > Settings > Keys and Secrets`
+   - Create a new Secret with:
+     - Name: `AWS Access Key`
+     - Reference: `aws_access_key`
+     - Key Type: `Secret`
+   - Enter your AWS access key ID in the Secret Value tab
+   - Similarly, create another Secret with:
+     - Name: `AWS Secret Access Key`
+     - Reference: `aws_secret_access_key`
+     - Key Type: `Secret`
+   - Enter your AWS secret access key in the Secret Value tab
+
+   > Note: These secrets will be accessible as `#!cxtower.secret.aws_access_key!#` and `#!cxtower.secret.aws_secret_access_key!#` in your commands.
+
+3. **Configure AWS Region**
+
+   Create a variable to define your AWS region:
+   
+   - Navigate to `Cetmix Tower > Settings > Variables`
+   - Create a new Variable with:
+     - Name: `AWS Region Name`
+     - Reference: `aws_region_name`
+     - Type: `String`
+   - Set your AWS region (e.g., `us-east-1`, `eu-west-1`) as the value

addons/cetmix_tower_aws/readme/CONTEXT.md

@@ -0,0 +1,5 @@
+Although Amazon Web Services (AWS) allows API calls without using an SDK, we found that
+integrating the Amazon SDK into Cetmix Tower makes provisioning, configuring, and
+maintaining AWS instances more convenient for the end user. However, not all Cetmix
+Tower users require this functionality, so to avoid overloading the system, we have
+included it in a separate module.

addons/cetmix_tower_aws/readme/DESCRIPTION.md

@@ -0,0 +1,6 @@
+**⚠️ DISCLAIMER: TECHNICAL MODULE**
+
+This module integrates Boto3 library, the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, into the Cetmix Tower.
+
+> **This is a technical module intended for system administrators or DevOps professionals.** It may involve server configuration, infrastructure management, or advanced setup outside the standard Odoo interface. Not intended for direct use by end users.
+

addons/cetmix_tower_aws/readme/USAGE.md

@@ -0,0 +1,121 @@
+Please check the [official Boto3 Documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html) (https://boto3.amazonaws.com/v1/documentation/api/latest/index.html) for the detailed information about the services and methods provided by the Boto3 library.
+
+> **Disclaimer**: The following example demonstrates one of many possible commands you can create and run with this module. The boto3 library provides access to the full range of AWS services and methods - this is just a starting point to help you get familiar with the integration.
+
+## Example of Cetmix Tower Python Command to List EC2 Instances
+
+### Navigate to Command Creation
+- Go to `Cetmix Tower > Commands > Commands`
+- Click the `Create` button
+
+### Configure Command Settings
+- Set a descriptive `Name` (e.g., "List AWS EC2 Instances")
+- Leave `Reference` blank to generate automatically (or set a custom reference)
+- Select `Action`: "Execute Python code"
+- Set `Access Level`: Choose appropriate level (e.g., "Manager")
+- Optional: Set `Default Path` if needed
+- Optional: Add `Tags` (e.g., "aws", "ec2") for better organization
+
+### Add Required Variables
+- In the `Variables` tab, add the previously configured variable:
+  - `aws_region_name`
+
+### Add Required Secrets
+- In the `Secrets` field, add the previously configured secrets:
+  - `aws_access_key`
+  - `aws_secret_access_key`
+
+### Write Python Code
+- Go to the `Code` tab
+- Enter the following Python code:
+
+    ```python
+    # List EC2 instances using boto3
+    result = {"exit_code": 0, "message": None}
+
+    session = boto3.Session(
+        aws_access_key_id=#!cxtower.secret.aws_access_key!#,
+        aws_secret_access_key=#!cxtower.secret.aws_secret_access_key!#,
+        region_name={{ aws_region_name }}
+    )
+    ec2 = session.client('ec2')
+    instances = ec2.describe_instances()
+
+    instance_details = []
+    for reservation in instances['Reservations']:
+        for instance in reservation['Instances']:
+            instance_detail = "Instance ID: " + instance['InstanceId']
+            instance_detail += ", Type: " + instance.get('InstanceType', 'Unknown')
+            instance_detail += ", State: " + instance.get('State', {}).get('Name', 'Unknown')
+            instance_details.append(instance_detail)
+
+    if instance_details:
+        result["message"] = "Found " + str(len(instance_details)) + " EC2 instances:\n" + "\n".join(instance_details)
+    else:
+        result["message"] = "No EC2 instances found"
+    ```
+
+### Save the Command
+- Click the `Save` button to create the command
+
+## Running the AWS EC2 Command
+
+### Navigate to Server
+- Go to `Cetmix Tower > Servers > Servers`
+- Open the server where you want to run the command
+
+### Execute Command from Server
+- Click the `Command` button at the top of the server form
+- In the popup dialog:
+  - Select your AWS EC2 command from the dropdown
+  - Verify the variable values (if any need adjustment)
+  - Click `Run` to execute
+
+### View Command Results
+- After execution, the command log will display showing:
+  - The command executed
+  - Execution status
+  - Output message containing EC2 instance details if successful
+
+## Example Output
+
+For a successful execution with EC2 instances:
+
+```bash
+Found 3 EC2 instances:
+Instance ID: i-0abc123def456789, Type: t2.micro, State: running
+Instance ID: i-0def456abc789123, Type: t3.medium, State: stopped
+Instance ID: i-0789abc123def456, Type: m5.large, State: running
+```
+
+For a successful execution with no EC2 instances:
+
+```bash
+No EC2 instances found
+```
+
+## Creating Additional AWS Commands
+
+The cetmix_tower_aws module provides access to the boto3 Python library for AWS service integration. Here are some common services you can use:
+
+```python
+# Standard client initialization pattern
+client = boto3.client(
+    'service_name',  # Replace with: ec2, s3, rds, cloudwatch, etc.
+    region_name={{ aws_region_name }},
+    aws_access_key_id=#!cxtower.secret.aws_access_key!#,
+    aws_secret_access_key=#!cxtower.secret.aws_secret_access_key!#
+)
+
+# Or use resource interface for object-oriented access
+resource = boto3.resource(
+    'service_name',  # Replace with: ec2, s3, etc.
+    region_name={{ aws_region_name }},
+    aws_access_key_id=#!cxtower.secret.aws_access_key!#,
+    aws_secret_access_key=#!cxtower.secret.aws_secret_access_key!#
+)
+```
+
+Popular AWS services include: EC2 (compute), S3 (storage), RDS (databases), and CloudWatch (monitoring).
+
+For more details, see the [AWS Boto3 Documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html).