Nova cloud #66
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Nova cloud #66
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This commit introduces the initial scaffolding and a functional prototype for the Polaris Agent, a system designed to automate marketing and business growth campaigns. The key components are: - A clear project structure with `polaris` for source code and `tests` for future testing. - Core data models (`Client`, `Campaign`, `Task`) defined in `polaris/models.py` to represent the system's entities. - A basic task execution engine within the `Campaign` class. - A sample task (`SendWelcomeEmailTask`) to demonstrate functionality. - An entry point (`main.py`) that runs a sample campaign. - A `.gitignore` file to exclude temporary Python files. This prototype serves as the foundation for future development of more complex tasks and features for the Polaris Agent.
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This commit updates the `README.md` file to include a comprehensive, user-provided list of 'Awesome Jules Prompts' in Spanish. The file has been completely rewritten to serve as a curated collection of prompts, organized into relevant categories. Unrelated files from a previous, abandoned task (the 'Polaris Agent') have been removed to focus the repository on its new purpose of maintaining the prompts list.
This commit transitions the chatbot project from a local prototype to a production-ready application. - Configured `bot.py` for production by disabling debug mode and setting the host. - Added Gunicorn as a dependency for a robust production server. - Created `start.sh` to define the production startup command. - Cleaned up the repository by removing log files, updating `.gitignore`, and pruning unnecessary dependencies from `requirements.txt`.
This commit adds a comprehensive deployment guide (`INSTRUCCIONES.md`) to the repository. This guide provides step-by-step instructions for deploying the Flask-based chatbot to the Render cloud platform. The main `README.md` has been updated with a prominent link to this new guide to ensure easy access. This change finalizes the project's preparation for deployment.
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This commit introduces the initial scaffolding and a functional prototype for the Polaris Agent, a system designed to automate marketing and business growth campaigns.
The key components are:
polarisfor source code andtestsfor future testing.Client,Campaign,Task) defined inpolaris/models.pyto represent the system's entities.Campaignclass.SendWelcomeEmailTask) to demonstrate functionality.main.py) that runs a sample campaign..gitignorefile to exclude temporary Python files.This prototype serves as the foundation for future development of more complex tasks and features for the Polaris Agent.
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