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# [DEF:Spec:010-refactor-cli-to-web]
# @TITLE: Refactor CLI Scripts to Web Application
# @STATUS: DRAFT
# @AUTHOR: Kilo Code
# @CREATED: 2026-01-07
## Clarifications
### Session 2026-01-07
- Q: Кто должен иметь доступ к новым веб-инструментам (Поиск, Маппинг, Отладка)? → A: Все аутентифицированные пользователи.
- Q: Нужно ли сохранять конфигурации подключений для маппинга (источник, детали подключения) для повторного использования, или они вводятся каждый раз заново? → A: Сохранять для повторного использования (удобство пользователя).
- Q: Скрипт `backup_script.py` указан в списке на удаление, но функциональность резервного копирования не описана в требованиях. Нужно ли переносить функцию бэкапа в веб-интерфейс? → A: Функциональность бэкапа уже реализована в рамках задачи 009-backup-scheduler и доступна через TaskManager. Скрипт `backup_script.py` можно удалять, так как его заменяет новая система.
## 1. Overview
### 1.1. Problem Statement
The system currently relies on a set of command-line scripts for critical operations like searching datasets, mapping columns, and debugging. This requires users to have SSH access and knowledge of terminal commands, creating a disjointed user experience compared to the main Web Application. It also leads to maintenance overhead as core logic is duplicated between the CLI tools and the Web backend.
### 1.2. Goal
Integrate the functionality of the standalone CLI tools directly into the Web Application. This will provide a unified interface for all system operations, simplify maintenance by centralizing logic, and eliminate the need for direct terminal access.
### 1.3. Scope
* **In Scope:**
* Integration of Dataset Search functionality into the Web UI.
* Integration of Dataset Mapping functionality into the Web UI.
* Integration of System Debugging tools into the Web UI.
* Removal of legacy command-line scripts and their specific dependencies.
* Verification that existing Backup functionality (from 009-backup-scheduler) fully covers the legacy `backup_script.py` capabilities before removal.
* **Out of Scope:**
* Major redesign of the existing Web UI (functionality will be added using existing patterns).
* Changes to the core business logic of the tools (porting existing logic only).
## 2. User Scenarios
### 2.1. Search Datasets
* **Before:** User logs in via SSH, runs a python script, edits the script to change the query, and reads text output in the terminal.
* **After:** User logs into the Web App, navigates to the "Search" tool, enters a query, and views results in a structured list within the browser.
### 2.2. Map Dataset Columns
* **Before:** User prepares a config or arguments and runs a python script from the terminal.
* **After:** User navigates to the "Dataset Mapper" tool in the Web App, fills out a form with source details, and executes the mapping. Progress is visible in the application's task list.
### 2.3. System Debugging
* **Before:** User runs various debug scripts manually to test connectivity or API structure.
* **After:** User navigates to a "Debug" section in the Web App, selects a diagnostic routine (e.g., "Test DB API"), and views the report in the application logs.
## 3. Functional Requirements
### 3.1. Web-Based Dataset Search
* The system must provide a user interface to search for text patterns across all Superset datasets.
* Users must be able to select the target environment.
* The system must display search results including the Dataset Name, Field Name, and the matching text context.
### 3.2. Web-Based Dataset Mapping
* The system must provide a user interface to map dataset column names/comments from external sources (e.g., Database, File).
* Users must be able to specify the source type and connection details via the UI.
* Connection configurations must be saved for reuse to improve user convenience.
* The system must provide feedback on the success or failure of the mapping operation.
### 3.3. Web-Based Diagnostics
* The system must provide a user interface to trigger system diagnostic routines.
* Supported diagnostics must include:
* Retrieving dataset structure for debugging.
* Testing Database API connectivity and response structure.
* Results must be viewable within the application.
### 3.4. Legacy Cleanup
* The system must function independently of the legacy CLI scripts.
* The legacy CLI scripts must be removed to prevent usage of deprecated tools.
### 3.5. Security & Access
* All authenticated users must have access to Search, Mapping, and Debugging tools.
## 4. Success Criteria
* **Unified Experience:** Users can perform Search, Mapping, and Debugging tasks entirely through the Web UI without using a terminal.
* **Feature Parity:** All capabilities previously available in the CLI scripts are available in the Web Application.
* **Clean Codebase:** The project no longer contains standalone CLI scripts (`search_script.py`, `run_mapper.py`, `migration_script.py`, `backup_script.py`, `debug_db_api.py`, `get_dataset_structure.py`).
* **Dependency Reduction:** The codebase no longer relies on CLI-specific libraries (e.g., `whiptail`).
## 5. Assumptions
* The existing Web Application plugin architecture supports the addition of these new tools.
* The existing logging and task management systems in the Web Application can handle the output from these tools.
# [/DEF:Spec:010-refactor-cli-to-web]