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Tagger: Tag Replacement Tool
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Tagger is a versatile Java application designed to simplify the process of replacing tags within text content. It provides a user-friendly GUI that allows users to interactively replace tags in a structured manner. The application supports a wide range of features including tag extraction, tag comment retrieval, and advanced tag replacement options.
Features
Interactive GUI: Tagger offers an intuitive graphical user interface that allows users to seamlessly navigate and perform tag replacement operations.
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Tag Extraction: The application intelligently extracts tags from the provided content, making it easy for users to identify and manage tags.
- Interactive GUI: Tagger offers an intuitive graphical user interface that allows users to seamlessly navigate and perform tag replacement operations.
Tag Comment Retrieval: Tagger fetches tag comments associated with each tag, providing context to the user during the replacement process.
- Tag Extraction: The application intelligently extracts tags from the provided content, making it easy for users to identify and manage tags.
Advanced Tag Replacement: Users can replace tags with customized text, including the ability to handle nested tags and optional tag content.
- Tag Comment Retrieval: Tagger fetches tag comments associated with each tag, providing context to the user during the replacement process.
Configuration Support: Tagger reads configuration settings from a JSON file, allowing users to easily customize database connections, table names, and more.
- Advanced Tag Replacement: Users can replace tags with customized text, including the ability to handle nested tags and optional tag content.
Save and Load Data: Users can save and load data, enabling seamless work sessions across different instances of the application.
- Configuration Support: Tagger reads configuration settings from a JSON file, allowing users to easily customize database connections, table names, and more.
Data Persistence: The application stores tag replacement history, allowing users to review and track previous tag replacements.
- Save and Load Data: Users can save and load data, enabling seamless work sessions across different instances of the application.
Error Handling: Tagger provides informative error messages and visual alerts, including an error message for failed database connections.
- Data Persistence: The application stores tag replacement history, allowing users to review and track previous tag replacements.
Version Control: The project maintains a comprehensive version history, making it easy to track changes and updates.
- Error Handling: Tagger provides informative error messages and visual alerts, including an error message for failed database connections.
- Version Control: The project maintains a comprehensive version history, making it easy to track changes and updates.
Usage
Launch the application.
Select the mo_name from the dropdown.
Click the "Process" button to begin the tag replacement process.
For each tag, the application presents a replacement dialog allowing the user to customize replacement text.
Optional: Users can save and load data using the provided buttons in the GUI.
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1. Launch the application.
2. Select the `mo_name` from the dropdown.
3. Click the "Process" button to begin the tag replacement process.
4. For each tag, the application presents a replacement dialog allowing the user to customize replacement text.
5. Optional: Users can save and load data using the provided buttons in the GUI.
Getting Started
Clone this repository.
Build and run the application using your preferred Java IDE or command-line tools.
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1. Clone this repository:
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`git clone https://github.com/your-username/tagger.git`
2. Navigate to the project directory:
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`cd tagger`
3. Build and run the application using your preferred Java IDE or command-line tools. For example, using the command-line:
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`javac TagReplacementToolApp.java
java TagReplacementToolApp`
4. Set Up the Database: Configure the database connection details in the `trtconfig.json` file. You may need to set up your preferred database system (e.g., MySQL) and create the necessary tables (e.g., TABLE1_NAME and TABLE2_NAME) before running the application.
Configuration
Configuration settings are stored in the trtconfig.json file. Modify this file to adjust database connections, table names, and other parameters.
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Configuration settings are stored in the `trtconfig.json` file. Modify this file to adjust database connections, table names, and other parameters.
Contributing
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Contributions to this project are welcome. Feel free to submit bug reports, feature requests, and pull requests.
License
This project is licensed under the MIT License.
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This project is licensed under the [MIT License](https://chat.openai.com/c/LICENSE).