- Added python3-pip to the list of standard CLI tools installed in the system preparation script, enhancing the environment setup for Python package management.
- Modified the installation and update commands in the README to include 'sudo', ensuring proper permissions for script execution.
- This change enhances the installation process by preventing potential permission issues during setup and updates.
- Updated the update.sh script to define the path for the apply_update.sh script, ensuring it can be referenced correctly during the update process.
- This change enhances the script's functionality by establishing a clear link to the new update handling script introduced in the previous commit.
- Introduced a new script, apply_update.sh, to handle the update process, including stopping services, pulling the latest container versions, and modifying the .env file based on user input for n8n workflow import and worker count.
- Refactored update.sh to delegate the update tasks to apply_update.sh, improving code organization and maintainability.
- Enhanced error handling and logging throughout the update process for better user experience and troubleshooting.
- Added functionality to prompt the user for a new n8n worker count during the update process, including validation for positive integers.
- Improved error handling and logging for cases where the N8N_WORKER_COUNT line is missing in the .env file, ensuring better user guidance and script robustness.
- Moved the langfuse profile output section to ensure it includes user email and password details, enhancing the clarity and completeness of the final report.
- Rearranged and updated the list of automation categories for clarity, ensuring that users can easily identify available workflows across various domains such as HR, E-commerce, and communication platforms.
- Added a new section outlining over 300 pre-built automations available for users, categorized by use cases such as AI agents, email handling, social media, and more, enhancing user onboarding and resource accessibility.
- Updated the unquoting mechanism in 03_generate_secrets.sh to repeatedly remove surrounding quotes from variable values, improving the handling of quoted strings and ensuring accurate environment variable assignment.
- Included a new point under the General Issues section to remind users to verify that their server meets the minimum hardware and operating system requirements, enhancing troubleshooting guidance.
- Introduced a new section addressing potential VPN conflicts that may interfere with downloading Docker images, providing users with troubleshooting guidance.
- Expanded the description of the installer, highlighting the rich toolset and scalable n8n performance.
- Revised DNS configuration instructions for clarity and updated server requirements to include specific memory, CPU, and disk space recommendations.
- Clarified the installation command and added details about the number of n8n workers during setup.
- Introduced a new deploy section in docker-compose.yml to set the number of n8n worker replicas based on the N8N_WORKER_COUNT environment variable.
- Enhanced 03_generate_secrets.sh to prompt users for the number of n8n workers, including validation and confirmation steps for input, ensuring a positive integer is set.
- Updated generated values and found variables to include N8N_WORKER_COUNT for better environment management.
- Revised minimum server system requirements to specify Ubuntu 24.04 LTS and 60 GB Disk Space.
- Added detailed memory and CPU recommendations for different service setups, enhancing user guidance for optimal performance.
- Changed the database host in docker-compose.yml from 'db' to 'postgres' for clarity.
- Added a function in 06_final_report.sh to check if specific profiles are active, improving the conditional display of service access credentials based on active profiles.
- Merged the installation of the python3-dotenv library into the main package installation command for streamlined setup.
- Removed separate logging for python-dotenv installation, simplifying the script while maintaining user awareness during the process.
- Changed the installation method of the python-dotenv library from pip to apt for better package management.
- Updated logging to reflect the new installation approach, enhancing user awareness during setup.
- Added installation of python3-pip and the python-dotenv library to the system preparation script.
- Improved logging to indicate the installation of the python-dotenv library for better user awareness.
- Added details about core services (Caddy, Postgres, Redis) included in the installer.
- Revised the description of the service selection wizard to highlight available options during setup.
- Clarified the optional import of 300+ n8n community workflows for improved user understanding.
- Added functionality to check if Supabase is enabled via the .env file before cloning the repository and preparing the environment.
- Updated the command execution flow to conditionally include Supabase in the Docker commands based on its enabled status.
- Enhanced the service selection wizard in 04_wizard.sh to include Supabase as an option for user selection.
- Updated the quoting style for variable assignments to use standard double quotes instead of escaped quotes.
- Ensured consistent formatting across all variable assignments to improve readability and maintainability.
- Store the original DEBIAN_FRONTEND value before setting it to 'dialog' for whiptail.
- Restore the original DEBIAN_FRONTEND value after the checklist execution.
- Improve formatting of the whiptail checklist command for better readability.
- Replaced "00_wizard.sh" with "04_wizard.sh" in the required scripts list.
- Renamed "04_run_services.sh" to "05_run_services.sh" and "05_final_report.sh" to "06_final_report.sh" for better clarity and organization of the installation process.
- Added profiles for various services in docker-compose.yml to enhance service management.
- Introduced a new interactive wizard script (04_wizard.sh) for user-friendly service selection during installation.
- Updated installation script (install.sh) to incorporate the service selection process.
- Added final report script (06_final_report.sh) to summarize installation steps and provide access credentials.
- Enhanced system preparation script (01_system_preparation.sh) by including 'whiptail' for the wizard functionality.
- Revised project description to emphasize the self-hosted nature of the n8n Installer and its bundled tools.
- Enhanced the "What's Included" section to better outline the features and benefits of the setup.
- Streamlined installation instructions and clarified DNS configuration steps for user-friendliness.
- Updated troubleshooting tips for Supabase issues to provide clearer guidance.
- Improved formatting and consistency throughout the document for better readability.
- Changed the project name from "n8n Ecosystem Installer" to "n8n Installer" for consistency.
- Enhanced descriptions of included features, specifically renaming the optional workflow import to "300 n8n Community Workflows Included."
- Streamlined installation instructions and removed outdated notes to focus on essential information.
- Clarified the functionality of the installation script regarding service management.
- Streamlined the description of the n8n Ecosystem Installer, emphasizing its purpose and included tools.
- Added a note about the optional import of approximately 300 community workflows during setup.
- Reorganized the Important Links section for better accessibility and clarity.
- Introduced a new markdown file detailing the product idea, target users, and problems solved by the n8n Ecosystem Installer.
- Highlighted the integrated services and benefits of using the installer for developers, AI enthusiasts, and small businesses.
- Aimed to provide clarity on the project's purpose and its value in simplifying the setup of a self-hosted automation and AI environment.
- Introduced a new markdown file outlining the project structure, key directories, and files, along with their purposes.
- Detailed the root directory files, core directories, and service data management to enhance understanding of the project setup and configuration.
- Revised project attribution to reflect the original creator.
- Enhanced descriptions for community resources and AI templates.
- Updated terminology for improved clarity regarding local model interactions and file access.
- Streamlined language throughout the document to enhance readability.
- Removed outdated prerequisites and consolidated installation steps for better clarity.
- Updated service hostnames section to provide clear examples for user configuration.
- Enhanced the description of the installation script's functionality regarding secret generation and service startup.
- Improved handling of existing .env values by reading and populating missing variables during the generation process.
- Added checks to utilize existing user inputs for email and OpenAI API key, allowing for a smoother setup experience.
- Refined the logic for generating JWT secrets and password hashes, ensuring they are only created if not already present.
- Enhanced user prompts for importing workflows and clarified logging messages for better user guidance.
- Introduced new environment variables for LANGFUSE initialization, including public key, secret key, user email, and user password.
- Updated docker-compose.yml to set default values for organization and project identifiers, enhancing configuration clarity.
- Modified 03_generate_secrets.sh to generate and include new LANGFUSE-related secrets in the environment setup process.
