priv-goals

A privacy-focused goal-tracking application that runs locally on your machine. Track your goals, habits, and tasks with the help of AI, without sharing your data with third-party servers (NOTE: depends on your chosen configuration).

[UNDER DEVELOPMENT] This project is currently under development and not yet ready for active use. Bare functionality is implemented and available for exploration. Please check back later for updates.

Features

• 🔒 Privacy First: All data stored locally by default
• 🤖 AI-Powered: Uses your preferred LLM for natural interaction
• 📊 Flexible Storage: Choose between local CSV or Google Sheets
• 🎯 Goal Tracking: Track status, progress, and completion
• ⏰ Duration Tracking: Monitor expected vs actual completion time
• 📝 Notes & Updates: Add context and track progress
• 🔑 Secure Credentials: All sensitive keys stored in system keyring

Installation

Quick Install

pip install priv-goals
priv-goals --setup

Requirements

• Python 3.8 or higher
• An API key for your preferred LLM provider (OpenAI, Anthropic, etc.)
• For Google Sheets storage: Google Cloud service account credentials
• System keyring (usually pre-installed on most operating systems)

Detailed Installation Steps

1. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install from PyPI:

   pip install priv-goals

3. Run the setup wizard:

   priv-goals --setup

   The setup wizard will guide you through:

   • Choosing your LLM provider (OpenAI, Anthropic, Ollama, or custom)
   • Securely storing your API key in the system keyring
   • Selecting and configuring your model preferences
   • Choosing your storage backend (local CSV or Google Sheets)
   • Setting up any additional required credentials

4. Start the application:

   priv-goals

Configuration

Configuration is stored in ~/.priv-goals/config.yml. Sensitive credentials like API keys and service account details are stored securely in your system's keyring.

Example configuration:

provider: openai
api_key: $KEYRING_OPENAI_API_KEY
api_base: https://api.openai.com/v1
model: gpt-4
storage_type: csv

Storage Options

Local CSV (Default)

• Data stored in ~/.priv-goals/goals.csv
• Complete privacy, no external services required
• Suitable for personal use

Google Sheets

• Requires Google Cloud service account credentials
• Great for team collaboration
• Accessible from multiple devices
• To set up:
  1. Create a Google Cloud project
  2. Enable Google Sheets API
  3. Create a service account and download credentials
  4. Run priv-goals --setup and select Google Sheets storage
  5. Your credentials will be securely stored in the system keyring

Usage

1. Start the application:

   priv-goals

2. Access the web interface: Open your browser and navigate to http://localhost:7860

3. Interact naturally:

   • "Add a new goal to read a book by next month"
   • "Show me my current goals"
   • "Mark the reading goal as complete"
   • "Add a note to my exercise goal"

Command Line Reference

Help Message

usage: priv-goals [-h] [--setup] [--port PORT] [--config CONFIG] [--debug]
                  [--log-dir LOG_DIR] [--version]

Privacy-focused goal tracking application with AI assistance.

options:
  -h, --help           show this help message and exit
  --setup              Run the interactive setup wizard
  --port PORT          Port to run the web interface on (default: 7860)
  --config CONFIG      Path to configuration file (default: ~/.priv-goals/config.yml)
  --debug              Enable debug mode with additional logging
  --log-dir LOG_DIR    Directory for log files (default: ~/.priv-goals/logs)
  --version           Show program's version number and exit

Examples:
  priv-goals                 # Start the application
  priv-goals --setup         # Run the setup wizard
  priv-goals --port 8080     # Start on specific port
  priv-goals --config ~/my-config.yml  # Use custom config file

Common Commands

1. View help:

   priv-goals --help

2. Run setup wizard:

   priv-goals --setup

3. Start on custom port:

   priv-goals --port 8080

4. Enable debug logging:

   priv-goals --debug

5. Use custom config file:

   priv-goals --config ~/custom-config.yml

6. Check version:

   priv-goals --version

Security Notes

• All sensitive credentials (API keys, service account details) are stored in your system's secure keyring
• No credentials are stored in plain text
• Temporary credential files are automatically cleaned up
• Local CSV files are stored in your home directory
• Google Sheets credentials are only used when needed and stored securely

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Roadmap

1️⃣ Goal Management Enhancements

• Delete/remove goals from the tracker.
• Rename goals for better organization.
• Revert a completed goal back to "in progress."
• Allow users to enter a duplicate goal (e.g., "read a book") if a similar goal was previously completed.
• Allow the user to "un-delete" a goal that was removed by mistake. (Partially working thanks to assistant's memory.)
• Allow multiple lists (e.g., short-term, long-term, personal, work, etc.) for better organization.
• Implement a "priority" column for goals, so users can prioritize their tasks.

2️⃣ Time Tracking & Scheduling

• Track timestamps: When a goal is created, when it is completed, and how long it took.
• Calculate and display average completion time for goals.
• Add an "Expected Duration" column, which can be optional or open-ended (e.g., "some time next week").
• Prompt the user for an expected duration when adding a goal if they don’t specify one (but allow them to decline).

3️⃣ AI & Usability Improvements

• Handle edge cases (e.g., a goal named "complete" should not confuse the system).
• Implement semantic goal identification, so similar goals (e.g., "read a book" vs. "read any book") are recognized as the same.
• Make notes about the current status of a goal, which the AI can process and provide feedback on.
• Implement local storage for goals, so the user can access their goals privately offline.
• Implement alternate LLMs (e.g., local models) for more flexibility.
  • Implement alternate LLMs using liteLLM - works for proprietary models, e.g., Claude.
  • Implement local LLMs.
• Test the app's ability to edit and update goals (e.g., changing name of a goal).
• Allow user to modify spreadsheet schema (e.g., add new columns for additional information).

4️⃣ User Experience & UI

• Create a persistent view of the goal list, instead of requiring the user to ask to view it each time.
• Improve the logic for refreshing the goal list after a new goal is added or an existing goal is updated.
• Display an initial welcome message from the AI, describing the available functionality of the app.
• Implement LLM-switching functionality to allow users to switch between different models.

5️⃣ Debugging & Logging

• Create a logging system to record every conversation during development for debugging purposes.

6️⃣ Codebase & Documentation

7️⃣ Security & Privacy

• Implement authentication (optional) for local CSV storage.

8️⃣ CLI

• Add command to print configuration to the CLI.

License

This project is licensed under the GNU Affero General Public License (AGPLv3).

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Contributing

Contributions are welcome! Please fork the repository and submit a pull request for review.