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plan2code/plan2code-metrics/src/analyzer.ts
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/**
* analyzer.ts
* Reads aggregated.json + prompt file contents, builds analysis prompt, invokes AI.
*/
import fs from 'fs';
import path from 'path';
import type { AggregatedMetrics } from './types.js';
import { invokeLLM, type AgentType } from './invoke-llm.js';
const ANALYZE_PROMPT_PATH = new URL('../src/prompts/analyze.md', import.meta.url).pathname
.replace(/^\/([A-Za-z]:)/, '$1'); // Fix Windows path
// ── Helpers ───────────────────────────────────────────────────────────────────
function readPromptFiles(plan2codeRoot: string): Record<string, string> {
const srcDir = path.join(plan2codeRoot, 'src');
const promptFiles = [
'plan2code-1--plan.md',
'plan2code-1b--revise-plan.md',
'plan2code-2--document.md',
'plan2code-3--implement.md',
'plan2code-4--finalize.md',
'plan2code---init.md',
'plan2code---init-update.md',
'plan2code---quick-task.md',
];
const contents: Record<string, string> = {};
for (const file of promptFiles) {
try {
contents[file] = fs.readFileSync(path.join(srcDir, file), 'utf8');
} catch {
contents[file] = '(file not found)';
}
}
return contents;
}
function interpolate(template: string, vars: Record<string, string>): string {
let result = template;
for (const [key, value] of Object.entries(vars)) {
result = result.replaceAll(`{{${key}}}`, value);
}
return result;
}
function generateDiagnosisId(): string {
const now = new Date();
const ts = now.toISOString().replace(/[-:T.Z]/g, '').slice(0, 14);
return `diag-${ts}`;
}
// ── Main analyzer ─────────────────────────────────────────────────────────────
export interface AnalyzerOptions {
aggregatedPath: string; // Path to aggregated.json
plan2codeRoot: string; // Path to plan2code repo root
proposalsDir: string; // Where to save diagnosis output
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model?: string; // AI model to use (default: agent's default)
agent?: AgentType; // Agent to use (default: claude-code)
}
export async function runAnalysis(opts: AnalyzerOptions): Promise<string> {
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const { aggregatedPath, plan2codeRoot, proposalsDir, model = 'default', agent = 'claude-code' } = opts;
// Load aggregated metrics
let aggregated: AggregatedMetrics | null = null;
try {
aggregated = JSON.parse(fs.readFileSync(aggregatedPath, 'utf8')) as AggregatedMetrics;
} catch {
throw new Error(`Could not read aggregated metrics at ${aggregatedPath}. Run "Collect metrics" and "Import run data" first.`);
}
if (aggregated.total_runs === 0) {
throw new Error('No runs in aggregated metrics. Collect and import some runs first.');
}
// Read prompt files
const promptContents = readPromptFiles(plan2codeRoot);
// Format for interpolation
const promptContentsStr = Object.entries(promptContents)
.map(([file, content]) => `## ${file}\n\n${content}`)
.join('\n\n---\n\n');
const aggregatedStr = JSON.stringify(aggregated, null, 2);
// Load analyze prompt template
let analyzeTemplate: string;
try {
analyzeTemplate = fs.readFileSync(ANALYZE_PROMPT_PATH, 'utf8');
} catch {
// Fallback: look relative to cwd
const altPath = path.join(process.cwd(), 'src', 'prompts', 'analyze.md');
analyzeTemplate = fs.readFileSync(altPath, 'utf8');
}
const fullPrompt = interpolate(analyzeTemplate, {
aggregatedMetrics: aggregatedStr,
promptContents: promptContentsStr,
});
// Invoke Claude
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console.log(`\nInvoking AI analysis (agent: ${agent}, model: ${model === 'default' ? 'user default' : model})...`);
console.log('This may take a minute...\n');
let diagnosisContent: string;
try {
diagnosisContent = await invokeLLM({
prompt: fullPrompt,
model,
agent,
timeout: 300_000,
});
} catch (err) {
throw new Error(`AI invocation failed: ${err instanceof Error ? err.message : String(err)}\n\nMake sure the ${agent} CLI is installed and authenticated.`);
}
// Save diagnosis
const diagId = generateDiagnosisId();
fs.mkdirSync(proposalsDir, { recursive: true });
const diagPath = path.join(proposalsDir, `${diagId}-diagnosis.md`);
fs.writeFileSync(diagPath, diagnosisContent, 'utf8');
console.log(`Diagnosis saved to: ${diagPath}`);
return diagPath;
}