feat: Add test case generator sqlpage version

Author: vidhyagopinadh

support/Qualityfolio[md-generator]/README.md

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+# Text to Markdown Converter - SQLPage Application
+
+A simple web application built with SQLPage that allows you to enter text and convert it to downloadable markdown files.
+
+## Features
+
+- ✍️ **Text Entry Form**: Enter title and content through a user-friendly web interface
+- 💾 **Database Storage**: All entries are saved in a SQLite database
+- 📋 **Entry Management**: View all saved entries in a searchable, sortable table
+- ⬇️ **Markdown Export**: Download any entry as a properly formatted `.md` file
+- 🎨 **Markdown Support**: Use markdown syntax in your content (bold, italic, headings, etc.)
+
+## Prerequisites
+
+You need to have SQLPage installed. Download it from:
+- **Official releases**: https://github.com/lovasoa/SQLpage/releases
+- **Or use Docker**: `docker pull lovasoa/sqlpage`
+
+## Installation
+
+1. **Download SQLPage** (if not already installed):
+   - Go to https://github.com/lovasoa/SQLpage/releases
+   - Download the appropriate version for Windows
+   - Extract `sqlpage.exe` to this project directory or add it to your PATH
+
+2. **Navigate to the project directory**:
+   ```powershell
+   cd "d:\MyFolder Ajesh\MyProjects\QualitiFolio_MD_SqlPage\QF_SQLPAGE"
+   ```
+
+## Running the Application
+
+1. **Start the SQLPage server**:
+   ```powershell
+   sqlpage
+   ```
+   
+   Or if sqlpage.exe is in the project directory:
+   ```powershell
+   .\sqlpage.exe
+   ```
+
+2. **Open your browser** and navigate to:
+   ```
+   http://localhost:8080
+   ```
+
+3. The database will be created automatically on first run.
+
+## Usage
+
+### Creating a New Entry
+
+1. On the home page, enter a **Title** for your entry
+2. Enter your **Content** in the text area (you can use markdown syntax)
+3. Click **Save Entry**
+4. You'll see a success message confirming the entry was saved
+
+### Viewing Saved Entries
+
+1. Click **View Saved Entries** from the home page
+2. You'll see a table with all your entries showing:
+   - ID
+   - Title
+   - Preview (first 100 characters)
+   - Creation date/time
+   - Download link
+
+### Downloading as Markdown
+
+1. In the entries list, click the **Download** link for any entry
+2. A `.md` file will be downloaded with:
+   - Title as H1 heading
+   - Creation timestamp
+   - Full content
+
+## Project Structure
+
+```
+QF_SQLPAGE/
+├── sqlpage/
+│   ├── migrations/
+│   │   └── 001_create_text_entries.sql    # Database schema
+│   └── sqlpage.json                        # Configuration
+├── index.sql                               # Main page with entry form
+├── save_entry.sql                          # Form submission handler
+├── entries.sql                             # List all entries
+├── download.sql                            # Generate markdown download
+└── README.md                               # This file
+```
+
+## Database Schema
+
+The application uses a single table `text_entries`:
+
+| Column     | Type     | Description                    |
+|------------|----------|--------------------------------|
+| id         | INTEGER  | Primary key (auto-increment)   |
+| title      | TEXT     | Entry title                    |
+| content    | TEXT     | Entry content                  |
+| created_at | DATETIME | Timestamp (auto-generated)     |
+
+## Markdown Format
+
+Downloaded files follow this format:
+
+```markdown
+# [Entry Title]
+
+---
+
+**Created:** [Timestamp]
+
+---
+
+[Entry Content]
+```
+
+## Troubleshooting
+
+**Server won't start:**
+- Make sure port 8080 is not already in use
+- Check that sqlpage.exe has execution permissions
+
+**Database errors:**
+- The database file `sqlpage.db` will be created automatically
+- If you see migration errors, delete `sqlpage.db` and restart
+
+**Download not working:**
+- Make sure your browser allows downloads
+- Check that the entry ID exists in the database
+
+## Technologies Used
+
+- **SQLPage**: Web framework using SQL files
+- **SQLite**: Embedded database
+- **Markdown**: Text formatting syntax
+
+## License
+
+This project is open source and available for personal and commercial use.

support/Qualityfolio[md-generator]/api/ai_plan_scope.sql

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+-- AI Generate Plan Scope
+-- Input: requirement_text
+-- Output: JSON { "refined_text": "..." }
+
+SET requirements = COALESCE(:requirement_text, '');
+
+-- Build prompt
+SET prompt = 'You are a QA Lead. Based on the following requirements, generate a high-level "Test Plan Scope" organized into these three specific sections:
+
+**Objectives**
+(Bullet points of testing objectives)
+
+**Risks**
+(Bullet points of potential risks)
+
+**Cycle Goals**
+(Bullet points of goals for this specific cycle)
+
+Input Requirements:
+' || $requirements || '
+
+Return the result in clear Markdown format. 
+IMPORTANT: Use "**Header**" (Bold) format for the section titles. 
+Do NOT use "###" or other markdown headers (e.g., do NOT use ### **Objectives**).
+Do not add any other introductory text.';
+
+-- Call AI API
+SET api_key = COALESCE(
+    sqlpage.environment_variable('API_KEY'), 
+    sqlpage.environment_variable('GROQ_API_KEY'), 
+    sqlpage.environment_variable('GEMINI_API_KEY')
+);
+SET api_endpoint = COALESCE(
+    sqlpage.environment_variable('ANTIGRAVITY_API_ENDPOINT'),
+    'https://api.groq.com/openai/v1/chat/completions'
+);
+SET is_groq = CASE WHEN $api_endpoint LIKE '%groq.com%' THEN 1 ELSE 0 END;
+SET api_model = COALESCE(sqlpage.environment_variable('GROQ_MODEL'), 'llama-3.3-70b-versatile');
+
+SET api_response = CASE 
+    WHEN $is_groq = 1 THEN
+        sqlpage.fetch(json_object(
+            'url', $api_endpoint,
+            'method', 'POST',
+            'headers', json_object(
+                'Content-Type', 'application/json',
+                'Authorization', 'Bearer ' || $api_key
+            ),
+            'body', json_object(
+                'model', $api_model,
+                'messages', json_array(
+                    json_object('role', 'user', 'content', $prompt)
+                )
+            )
+        ))
+    ELSE
+        sqlpage.fetch(json_object(
+            'url', $api_endpoint || '?key=' || $api_key,
+            'method', 'POST',
+            'headers', json_object('Content-Type', 'application/json'),
+            'body', json_object(
+                'contents', json_array(
+                    json_object('parts', json_array(json_object('text', $prompt)))
+                )
+            )
+        ))
+END;
+
+-- Extract generated text
+SET generated_text = CASE 
+    WHEN $is_groq = 1 THEN json_extract($api_response, '$.choices[0].message.content')
+    ELSE json_extract($api_response, '$.candidates[0].content.parts[0].text')
+END;
+
+SET generated_text = COALESCE($generated_text, 'Error generating content.');
+
+-- Return JSON
+SELECT 'json' AS component;
+SELECT json_object(
+    'success', CASE WHEN $generated_text = 'Error generating content.' THEN 0 ELSE 1 END,
+    'refined_text', $generated_text
+) AS contents;

support/Qualityfolio[md-generator]/api/ai_refine.sql

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+-- AI Refine Requirement Details
+-- Input: requirement_text
+-- Output: JSON { "refined_text": "..." }
+
+SET requirements = COALESCE(:requirement_text, '');
+
+-- Build prompt
+SET prompt = 'You are a QA expert. Refine the following Requirement Details and organize it into these three specific sections:
+
+** Requirement Scope**
+(High-level summary of what is in scope)
+
+** Functional Requirements**
+(Bulleted list of specific behaviors)
+
+** Acceptance Criteria**
+(Bulleted list of verifiable criteria)
+
+Input Text:
+' || $requirements || '
+
+Return the result in clear Markdown format. 
+IMPORTANT: Use "** " as the header prefix and "**" as the suffix for the three sections above (e.g., ** Requirement Scope**). Do NOT use "###" or other markdown headers. Do not add any other introductory text.';
+
+-- Call AI API
+SET api_key = COALESCE(
+    sqlpage.environment_variable('API_KEY'), 
+    sqlpage.environment_variable('GROQ_API_KEY'), 
+    sqlpage.environment_variable('GEMINI_API_KEY')
+);
+SET api_endpoint = COALESCE(
+    sqlpage.environment_variable('ANTIGRAVITY_API_ENDPOINT'),
+    'https://api.groq.com/openai/v1/chat/completions'
+);
+SET is_groq = CASE WHEN $api_endpoint LIKE '%groq.com%' THEN 1 ELSE 0 END;
+SET api_model = COALESCE(sqlpage.environment_variable('GROQ_MODEL'), 'llama-3.3-70b-versatile');
+
+SET api_response = CASE 
+    WHEN $is_groq = 1 THEN
+        sqlpage.fetch(json_object(
+            'url', $api_endpoint,
+            'method', 'POST',
+            'headers', json_object(
+                'Content-Type', 'application/json',
+                'Authorization', 'Bearer ' || $api_key
+            ),
+            'body', json_object(
+                'model', $api_model,
+                'messages', json_array(
+                    json_object('role', 'user', 'content', $prompt)
+                )
+            )
+        ))
+    ELSE
+        sqlpage.fetch(json_object(
+            'url', $api_endpoint || '?key=' || $api_key,
+            'method', 'POST',
+            'headers', json_object('Content-Type', 'application/json'),
+            'body', json_object(
+                'contents', json_array(
+                    json_object('parts', json_array(json_object('text', $prompt)))
+                )
+            )
+        ))
+END;
+
+
+
+-- Extract generated text
+SET generated_text = CASE 
+    WHEN $is_groq = 1 THEN json_extract($api_response, '$.choices[0].message.content')
+    ELSE json_extract($api_response, '$.candidates[0].content.parts[0].text')
+END;
+
+SET generated_text = COALESCE($generated_text, 'Error generating content.');
+
+-- Return JSON
+SELECT 'json' AS component;
+SELECT json_object(
+    'success', CASE WHEN $generated_text = 'Error generating content.' THEN 0 ELSE 1 END,
+    'refined_text', $generated_text
+) AS contents;