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PDowneyPDowney
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Workflow
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‎.github/workflows/gemini-issue-assistant.yml‎

Lines changed: 113 additions & 35 deletions
Original file line numberDiff line numberDiff line change
@@ -26,10 +26,73 @@ jobs:
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with:
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node-version: '20'
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- name: Install Gemini CLI
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- name: Install Google AI SDK and Create Analysis Script
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run: |
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npm install -g @google/generative-ai
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npm install -g @google/generative-ai-cli || echo "CLI install failed, using direct API"
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echo "🔧 Installing Google AI SDK..."
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npm install @google/generative-ai
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echo "📦 Creating Gemini analysis script..."
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cat > gemini-analyze.js << 'SCRIPT_EOF'
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const { GoogleGenerativeAI } = require('@google/generative-ai');
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const fs = require('fs');
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async function analyzeIssue() {
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try {
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const apiKey = process.env.GEMINI_API_KEY;
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if (!apiKey) {
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throw new Error('GEMINI_API_KEY environment variable not found');
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}
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console.log('🔑 API key configured, length:', apiKey.length);
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console.log('🤖 Initializing Gemini AI...');
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const genAI = new GoogleGenerativeAI(apiKey);
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const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });
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const prompt = fs.readFileSync('analysis_prompt.txt', 'utf8');
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console.log('📝 Prompt loaded, size:', prompt.length, 'characters');
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console.log('🚀 Generating analysis...');
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const result = await model.generateContent(prompt);
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const response = await result.response;
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const text = response.text();
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fs.writeFileSync('gemini_response.txt', text);
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console.log('✅ Analysis completed successfully');
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console.log('📄 Result size:', text.length, 'characters');
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} catch (error) {
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console.error('❌ Gemini analysis failed:', error.message);
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console.error('🔍 Full error details:', error);
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const fallbackContent = [
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'## 🤖 AI Analysis Status',
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'',
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'The automated AI analysis encountered an issue: ' + error.message,
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'',
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'This may be due to:',
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'- API key configuration issues',
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'- Network connectivity problems',
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'- Gemini API rate limits or service issues',
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'- Invalid prompt format or size',
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'',
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'### Manual Review Recommended',
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'Please review this issue manually and check the repository for related code.',
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''
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].join('\n');
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fs.writeFileSync('gemini_response.txt', fallbackContent);
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process.exit(1);
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}
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}
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analyzeIssue().catch(error => {
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console.error('Fatal error:', error);
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process.exit(1);
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});
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SCRIPT_EOF
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echo "✅ Analysis script created successfully"
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- name: Determine analysis type
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id: analysis-type
@@ -51,6 +114,35 @@ jobs:
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echo "type=skip" >> $GITHUB_OUTPUT
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fi
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- name: Scan Codebase for Context
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id: scan-code
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run: |
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echo "📋 Scanning codebase for relevant context..."
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# Get recent commits for context
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echo "📜 Recent commits:" > codebase_context.txt
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git log --oneline -5 >> codebase_context.txt
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echo "" >> codebase_context.txt
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# Get main plugin files for context
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echo "📁 Main plugin files:" >> codebase_context.txt
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find . -name "*.php" -path "./.*" -prune -o -name "*.php" -print | head -10 | while read file; do
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if [ -f "$file" ]; then
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echo "=== $file ===" >> codebase_context.txt
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head -30 "$file" >> codebase_context.txt
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echo "" >> codebase_context.txt
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fi
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done
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# Check if we collected context
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if [ -s codebase_context.txt ]; then
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echo "✅ Codebase context collected: $(wc -l < codebase_context.txt) lines"
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echo "context-available=true" >> $GITHUB_OUTPUT
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else
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echo "⚠️ No codebase context found"
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echo "context-available=false" >> $GITHUB_OUTPUT
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fi
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- name: Create analysis prompt
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env:
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ANALYSIS_TYPE: ${{ steps.analysis-type.outputs.type }}
@@ -59,6 +151,7 @@ jobs:
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ISSUE_AUTHOR: ${{ github.event.issue.user.login }}
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COMMENT_BODY: ${{ github.event.comment.body }}
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COMMENT_AUTHOR: ${{ github.event.comment.user.login }}
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CONTEXT_AVAILABLE: ${{ steps.scan-code.outputs.context-available }}
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run: |
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# Skip analysis if not relevant
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if [ "$ANALYSIS_TYPE" = "skip" ]; then
@@ -110,8 +203,16 @@ jobs:
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echo "" >> analysis_prompt.txt
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echo "REPOSITORY CONTEXT: WordPress plugin project (WordPress 6.5+, PHP 7.4+)" >> analysis_prompt.txt
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fi
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# Add codebase context if available
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if [ "$CONTEXT_AVAILABLE" = "true" ]; then
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echo "" >> analysis_prompt.txt
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echo "CODEBASE CONTEXT FOR REFERENCE:" >> analysis_prompt.txt
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cat codebase_context.txt >> analysis_prompt.txt
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fi
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- name: Run Gemini Analysis
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- name: Run AI Analysis
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id: ai-analysis
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env:
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GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
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ANALYSIS_SKIPPED: ${{ steps.analysis-type.outputs.analysis-skipped }}
@@ -121,41 +222,18 @@ jobs:
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exit 0
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fi
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echo "Starting Gemini analysis..."
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echo "🤖 Starting AI issue analysis with official Google SDK..."
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echo "📝 Prompt file size: $(wc -c < analysis_prompt.txt) bytes"
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# Try different methods to run Gemini analysis
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if command -v gemini &> /dev/null; then
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echo "Using Gemini CLI..."
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gemini analyze --file analysis_prompt.txt --model gemini-pro > gemini_response.txt 2>&1 || {
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echo "Gemini CLI failed, trying direct API..."
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node -e "
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const { GoogleGenerativeAI } = require('@google/generative-ai');
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const fs = require('fs');
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const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
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const model = genAI.getGenerativeModel({ model: 'gemini-pro' });
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const prompt = fs.readFileSync('analysis_prompt.txt', 'utf8');
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model.generateContent(prompt).then(result => {
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const response = result.response;
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console.log(response.text());
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}).catch(console.error);
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" > gemini_response.txt 2>&1
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}
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if node gemini-analyze.js; then
229+
echo "analysis-success=true" >> $GITHUB_OUTPUT
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echo "✅ AI analysis completed successfully"
143231
else
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echo "Using Node.js direct API..."
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node -e "
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const { GoogleGenerativeAI } = require('@google/generative-ai');
147-
const fs = require('fs');
148-
const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
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const model = genAI.getGenerativeModel({ model: 'gemini-pro' });
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const prompt = fs.readFileSync('analysis_prompt.txt', 'utf8');
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model.generateContent(prompt).then(result => {
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const response = result.response;
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console.log(response.text());
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}).catch(console.error);
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" > gemini_response.txt 2>&1
232+
echo "analysis-success=false" >> $GITHUB_OUTPUT
233+
echo "❌ AI analysis failed - check logs for details"
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fi
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# Output analysis results
236+
# Format the response
159237
echo "## 🤖 Gemini Issue Analysis" > formatted_response.txt
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echo "" >> formatted_response.txt
161239
if [ -s gemini_response.txt ]; then

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