universal-watcher 0.1.21

A universal watcher extendable for any kind of data.

Universal Watcher

Universal Watcher is a versatile and extendable Python package designed to monitor various data sources and notify users about new data through multiple notification platforms. Easily add support for new data sources and notification methods without modifying the core package.

Table of Contents

• Installation
• Usage
  • Creating a Watcher
  • Checking Watchers
  • Using a Custom Formatter
• Extending Universal Watcher
  • Adding a New Data Source
  • Adding a New Formatter
  • Adding a New Notification Platform
• Configuration
• Contributing
• License

Installation

Install via pip:

pip install universal_watcher

Or install from source:

git clone https://github.com/simon-ne/universal-watcher.git
cd universal-watcher
pip install .

Usage

Universal Watcher provides methods to create new watchers, check existing watchers for new data, and check all watchers at once.

Creating a Watcher

To create a new watcher, define the data source and notification platform parameters and register the watcher in the database. This setup allows you to monitor specific data sources and receive notifications through your chosen platforms.

from universal_watcher import Watcher

watcher = Watcher()
watcher.create(
    watcher_name="my_watcher",
    data_source_data={
        "name": "bazos_sk",
        "formatter": "email_formatter",
        "parameters": {
            "category": "auto",
            "location": "12345",
            "search": "sedan",
            "min_price": 5000,
            "max_price": 20000,
            "radius": 50
        }
    },
    notification_platform_data={
        "name": "email",
        "parameters": {
            "to": "[e-mail]"
        }
    }
)

Checking Watchers

• Check a Specific Watcher: Looks for new data and notifies the user if any new items are found.

  watcher.check("my_watcher")
  

• Check All Watchers: Iterates through all registered watchers, checking for new data and sending notifications as needed.

  watcher.check_all()
  

Using a Custom Formatter

• Create a custom formatter: Inherit from Formatter class, implement format_items method.

  # your_formatter.py
  from universal_watcher.core.classes.formatter.formatter import Formatter
  from universal_watcher.core.classes.data_source.data_source_item import (
      DataSourceItem,
  )
  from universal_watcher.core.classes.notification_platform.notification_platform_input import (
      NotificationPlatformInput,
  )
  
  
  class YourCustomFormatter(Formatter):
      def format_items(
          self, items: list[DataSourceItem]
      ) -> NotificationPlatformInput:
          # Implement formatting logic
          pass
  

• Use the custom formatter: Instead of using watcher.check() method, do the following.

  # main.py
  from universal_watcher import Watcher
  from your_formatter import YourCustomFormatter
  
  watcher = Watcher()
  new_items = watcher.get_new_data(watcher_name)
  notif_input = YourCustomFormatter().format_items(new_items)
  watcher.send_notification(watcher_name, notif_input)
  

Extending Universal Watcher

Universal Watcher is designed to be easily extensible. You can add new data sources, formatters, and notification platforms without altering the core package.

Adding a New Data Source

1. Create the Data Source Class: Inherit from DataSource and implement the required abstract methods.

2. Add Formatters: Each data source can have multiple formatters. Create formatter classes inheriting from Formatter.

3. Register the Data Source: Place your data source in the data_sources package and ensure it's discoverable via the setup.py script.

Example Structure:

universal_watcher/
  data_sources/
    your_data_source/
      __init__.py
      your_data_source.py
      formatters/
        your_formatter.py
      models/
        your_item.py
      services/
        your_service.py

Adding a New Formatter

1. Create Formatter Class: Inherit from Formatter and implement the format_items method.

2. Register Formatter: Add the formatter to the data source's config.py under the FORMATTERS dictionary.

# your_formatter.py
from universal_watcher.core.classes.formatter.formatter import Formatter

class YourFormatter(Formatter):
    def format_items(self, items):
        # Implement formatting logic
        pass

# config.py
from .your_formatter import YourFormatter

FORMATTERS = {
    'your_formatter': YourFormatter
}

Adding a New Notification Platform

1. Create Notification Platform Class: Inherit from NotificationPlatform and implement the required methods.

2. Register the Notification Platform: Place your platform in the notification_platforms package and ensure it's discoverable via the setup.py script.

Example Structure:

universal_watcher/
  notification_platforms/
    your_platform/
      __init__.py
      your_platform.py
      models/
        your_input.py
      services/
        your_service.py

Configuration

Use environment variables to manage sensitive configurations such as SMTP credentials. This ensures that sensitive information is not hard-coded and can be easily managed across different environments.

Example Environment Variables for Email Notification Platform:

• SMTP_HOST
• SMTP_PORT
• SMTP_ENCRYPTION
• SMTP_USERNAME
• SMTP_PASSWORD
• SMTP_SENDER_EMAIL

You can set these variables in your environment or use a .env file. Ensure that your environment variables are loaded before running the application.

Contributing

Contributions are welcome! Please open issues or submit pull requests for enhancements or bug fixes.

License

This project is licensed under the MIT License.