Add environment configuration and local development documentation
- Parameterize CORS_ORIGINS in docker-compose.swarm.yml - Add .env.example with configuration options - Create comprehensive LOCAL_DEVELOPMENT.md guide - Update README.md with environment variable documentation - Provide alternatives for local development without production domain 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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anthonyrawlins
315
coordinate_rosewood_qa.py
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315
coordinate_rosewood_qa.py
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#!/usr/bin/env python3
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"""
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Direct coordination script for ROSEWOOD UI/UX QA testing
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Since the main Hive coordination service is having issues, this script
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directly coordinates with ROSEWOOD for comprehensive UI/UX testing
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"""
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import json
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import requests
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import time
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from pathlib import Path
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import os
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# ROSEWOOD Configuration
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ROSEWOOD_ENDPOINT = "http://192.168.1.132:11434"
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ROSEWOOD_MODEL = "deepseek-r1:8b"
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# Project paths
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PROJECT_ROOT = Path("/home/tony/AI/projects/hive")
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FRONTEND_DIR = PROJECT_ROOT / "frontend"
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def test_rosewood_connection():
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"""Test if ROSEWOOD is accessible"""
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try:
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response = requests.get(f"{ROSEWOOD_ENDPOINT}/api/tags", timeout=10)
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return response.status_code == 200
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except Exception as e:
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print(f"❌ Cannot connect to ROSEWOOD: {e}")
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return False
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def get_file_content(file_path):
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"""Get file content safely"""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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return f.read()
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except Exception as e:
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print(f"⚠️ Could not read {file_path}: {e}")
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return None
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def collect_frontend_files():
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"""Collect all relevant frontend files for analysis"""
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files_to_analyze = []
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# Key files to examine
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key_files = [
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"src/App.tsx",
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"src/main.tsx",
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"src/types/workflow.ts",
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"index.html",
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"src/index.css",
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"package.json",
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"tailwind.config.js",
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"vite.config.ts"
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]
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for file_path in key_files:
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full_path = FRONTEND_DIR / file_path
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if full_path.exists():
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content = get_file_content(full_path)
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if content:
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files_to_analyze.append({
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"path": str(full_path),
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"relative_path": file_path,
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"content": content,
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"size": len(content)
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})
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# Collect additional React components
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src_dir = FRONTEND_DIR / "src"
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if src_dir.exists():
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for ext in ['*.tsx', '*.ts', '*.jsx', '*.js']:
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for file_path in src_dir.rglob(ext):
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if file_path.is_file() and file_path.stat().st_size < 50000: # Skip very large files
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content = get_file_content(file_path)
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if content:
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rel_path = file_path.relative_to(FRONTEND_DIR)
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files_to_analyze.append({
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"path": str(file_path),
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"relative_path": str(rel_path),
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"content": content,
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"size": len(content)
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})
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return files_to_analyze
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def send_qa_request_to_rosewood(files_data):
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"""Send comprehensive QA testing request to ROSEWOOD"""
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# Prepare the comprehensive QA testing prompt
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qa_prompt = f"""
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🐝 HIVE UI/UX COMPREHENSIVE QA TESTING TASK
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You are ROSEWOOD, a specialized Quality Assurance and Testing agent with expertise in:
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- UI/UX Quality Assurance
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- Accessibility Testing
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- Visual Design Analysis
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- User Experience Evaluation
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- Frontend Code Review
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- React/TypeScript Testing
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**MISSION**: Perform comprehensive UI/UX QA testing on the Hive distributed AI orchestration platform frontend.
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**FRONTEND CODEBASE ANALYSIS**:
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{len(files_data)} files provided for analysis:
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"""
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# Add file contents to prompt
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for file_info in files_data:
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qa_prompt += f"\n{'='*80}\n"
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qa_prompt += f"FILE: {file_info['relative_path']}\n"
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qa_prompt += f"SIZE: {file_info['size']} characters\n"
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qa_prompt += f"{'='*80}\n"
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qa_prompt += file_info['content']
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qa_prompt += f"\n{'='*80}\n"
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qa_prompt += """
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**COMPREHENSIVE QA TESTING REQUIREMENTS**:
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1. **Frontend Code Analysis**:
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- Review React/TypeScript code structure and quality
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- Identify coding best practices and anti-patterns
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- Check component architecture and reusability
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- Analyze state management and data flow
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- Review type definitions and interfaces
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2. **User Interface Testing**:
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- Evaluate visual design consistency
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- Check responsive design implementation
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- Assess component rendering and layout
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- Verify color scheme and typography
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- Test navigation and user workflows
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3. **Accessibility Testing**:
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- Screen reader compatibility assessment
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- Keyboard navigation evaluation
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- Color contrast and readability analysis
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- WCAG compliance review
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- Semantic HTML structure evaluation
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4. **User Experience Evaluation**:
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- Workflow efficiency assessment
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- Error handling and user feedback analysis
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- Information architecture review
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- Performance optimization opportunities
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- Mobile responsiveness evaluation
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5. **Technical Quality Assessment**:
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- Code maintainability and scalability
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- Security considerations
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- Performance optimization
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- Bundle size and loading efficiency
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- Browser compatibility
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**DELIVERABLES REQUIRED**:
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1. **Detailed QA Testing Report** with:
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- Executive summary of findings
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- Categorized issues by severity (Critical, High, Medium, Low)
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- Specific recommendations for each issue
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- Code examples and proposed fixes
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2. **UI/UX Issues List** with:
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- Visual design inconsistencies
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- Layout and responsiveness problems
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- User interaction issues
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- Navigation problems
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3. **Accessibility Compliance Assessment** with:
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- WCAG compliance level evaluation
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- Specific accessibility violations found
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- Recommendations for improvement
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- Priority accessibility fixes
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4. **User Experience Recommendations** with:
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- Workflow optimization suggestions
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- User interface improvements
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- Performance enhancement opportunities
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- Mobile experience recommendations
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5. **Priority Matrix** with:
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- Critical issues requiring immediate attention
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- High-priority improvements for next release
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- Medium-priority enhancements
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- Low-priority nice-to-have improvements
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**RESPONSE FORMAT**:
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Structure your response as a comprehensive QA report with clear sections, bullet points, and specific actionable recommendations. Include code snippets where relevant and prioritize issues by impact on user experience.
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Begin your comprehensive QA analysis now!
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"""
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# Send request to ROSEWOOD
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print("📡 Sending QA testing request to ROSEWOOD...")
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try:
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response = requests.post(
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f"{ROSEWOOD_ENDPOINT}/api/generate",
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json={
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"model": ROSEWOOD_MODEL,
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"prompt": qa_prompt,
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"stream": False,
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"options": {
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"temperature": 0.3,
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"top_p": 0.9,
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"max_tokens": 8192
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}
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},
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timeout=300 # 5 minute timeout for comprehensive analysis
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)
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if response.status_code == 200:
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result = response.json()
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return result.get('response', '')
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else:
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print(f"❌ Error from ROSEWOOD: {response.status_code}")
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return None
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except Exception as e:
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print(f"❌ Error communicating with ROSEWOOD: {e}")
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return None
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def save_qa_report(qa_report):
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"""Save the QA report to file"""
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timestamp = int(time.time())
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report_file = PROJECT_ROOT / f"results/rosewood_qa_report_{timestamp}.md"
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# Ensure results directory exists
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os.makedirs(PROJECT_ROOT / "results", exist_ok=True)
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try:
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with open(report_file, 'w', encoding='utf-8') as f:
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f.write("# 🐝 HIVE UI/UX Comprehensive QA Testing Report\n")
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f.write("**Generated by ROSEWOOD QA Agent**\n\n")
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f.write(f"**Generated:** {time.strftime('%Y-%m-%d %H:%M:%S')}\n")
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f.write(f"**Agent:** ROSEWOOD (deepseek-r1:8b)\n")
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f.write(f"**Endpoint:** {ROSEWOOD_ENDPOINT}\n\n")
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f.write("---\n\n")
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f.write(qa_report)
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print(f"✅ QA report saved to: {report_file}")
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return str(report_file)
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except Exception as e:
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print(f"❌ Error saving QA report: {e}")
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return None
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def main():
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"""Main coordination function"""
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print("🐝 HIVE UI/UX QA Testing Coordination")
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print("=" * 60)
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print(f"🎯 Target: ROSEWOOD ({ROSEWOOD_ENDPOINT})")
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print(f"📁 Frontend: {FRONTEND_DIR}")
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print()
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# Test ROSEWOOD connection
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if not test_rosewood_connection():
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print("❌ Cannot connect to ROSEWOOD. Ensure it's running and accessible.")
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return
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print("✅ ROSEWOOD is accessible")
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# Collect frontend files
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print("📁 Collecting frontend files for analysis...")
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files_data = collect_frontend_files()
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if not files_data:
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print("❌ No frontend files found for analysis")
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return
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print(f"✅ Collected {len(files_data)} files for analysis")
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total_size = sum(f['size'] for f in files_data)
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print(f"📊 Total content size: {total_size:,} characters")
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# Send QA request to ROSEWOOD
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print("\n🔄 Initiating comprehensive QA testing...")
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qa_report = send_qa_request_to_rosewood(files_data)
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if qa_report:
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print("✅ QA testing completed successfully!")
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print(f"📄 Report length: {len(qa_report):,} characters")
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# Save the report
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report_file = save_qa_report(qa_report)
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if report_file:
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print(f"\n🎉 QA testing coordination completed successfully!")
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print(f"📋 Report saved to: {report_file}")
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# Display summary
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print("\n" + "=" * 60)
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print("📊 QA TESTING SUMMARY")
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print("=" * 60)
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print(f"✅ Agent: ROSEWOOD (deepseek-r1:8b)")
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print(f"✅ Files analyzed: {len(files_data)}")
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print(f"✅ Report generated: {report_file}")
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print(f"✅ Content analyzed: {total_size:,} characters")
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print()
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# Show first part of the report
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print("📋 QA REPORT PREVIEW:")
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print("-" * 40)
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preview = qa_report[:1000] + "..." if len(qa_report) > 1000 else qa_report
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print(preview)
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print("-" * 40)
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else:
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print("❌ Failed to save QA report")
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else:
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print("❌ QA testing failed")
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if __name__ == "__main__":
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main()
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