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arkonandClaude Opus 4.6
e7a9cbe442
Split 3 large files into 11 focused sub-modules via composition: ralph-tracker.ts (3,868 → ~2,400 LOC): - ralph-plan-tracker.ts: plan task tracking, checkpoints, history - ralph-fix-plan-watcher.ts: @fix_plan.md file watching - ralph-stall-detector.ts: iteration stall detection - ralph-status-parser.ts: RALPH_STATUS block parsing, circuit breaker respawn-controller.ts (3,611 → ~3,200 LOC): - respawn-patterns.ts: pure pattern detection functions - respawn-adaptive-timing.ts: adaptive timing with percentile calc - respawn-metrics.ts: cycle metrics tracking + aggregation - respawn-health.ts: pure health scoring functions session.ts (2,418 → ~1,800 LOC): - session-cli-builder.ts: CLI argument construction - session-auto-ops.ts: auto-compact/clear automation - session-task-cache.ts: task description LRU cache All external APIs preserved via delegation. Events forwarded through parent classes. Zero behavioral changes — all 436 tests pass. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
132 lines
3.3 KiB
TypeScript
132 lines
3.3 KiB
TypeScript
/**
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* @fileoverview Pure utility functions for terminal pattern detection in respawn controller.
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*
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* Extracted from respawn-controller.ts for modularity. These are stateless functions
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* and constants used to detect completion messages, working patterns, and token counts
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* in terminal output.
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*
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* @module respawn-patterns
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*/
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import { TOKEN_PATTERN } from './utils/index.js';
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// ========== Constants ==========
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/**
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* Pattern to detect completion messages from Claude Code.
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* Requires "Worked for" prefix to avoid false positives from bare time durations
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* in regular text (e.g., "wait for 5s", "run for 2m").
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*
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* Matches: "Worked for 2m 46s", "Worked for 46s", "Worked for 1h 2m 3s"
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* Does NOT match: "wait for 5s", "run for 2m", "for 3s the system..."
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*/
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const COMPLETION_TIME_PATTERN = /\bWorked\s+for\s+\d+[hms](\s*\d+[hms])*/i;
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/**
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* Patterns indicating Claude is ready for input (legacy fallback).
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* Used as secondary signals, not primary detection.
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*/
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export const PROMPT_PATTERNS = [
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'❯', // Standard prompt
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'\u276f', // Unicode variant
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'⏵', // Claude Code prompt variant
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];
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/**
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* Patterns indicating Claude is actively working.
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* When detected, resets all idle detection timers.
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* Note: ✻ and ✽ removed - they appear in completion messages too.
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*/
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export const WORKING_PATTERNS = [
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'Thinking',
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'Writing',
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'Reading',
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'Running',
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'Searching',
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'Editing',
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'Creating',
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'Deleting',
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'Analyzing',
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'Executing',
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'Synthesizing',
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'Brewing', // Claude's processing indicators
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'Compiling',
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'Building',
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'Installing',
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'Fetching',
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'Downloading',
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'Processing',
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'Generating',
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'Loading',
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'Starting',
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'Updating',
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'Checking',
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'Validating',
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'Testing',
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'Formatting',
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'Linting',
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'⠋',
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'⠙',
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'⠹',
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'⠸',
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'⠼',
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'⠴',
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'⠦',
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'⠧',
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'⠇',
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'⠏', // Spinner chars
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'◐',
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'◓',
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'◑',
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'◒', // Alternative spinners
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'⣾',
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'⣽',
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'⣻',
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'⢿',
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'⡿',
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'⣟',
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'⣯',
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'⣷', // Braille spinners
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];
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/**
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* Check if data contains a completion message pattern.
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* Matches "Worked for Xh Xm Xs" time duration patterns.
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*
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* @param data - Raw terminal output data
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* @returns True if completion message pattern is found
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*/
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export function isCompletionMessage(data: string): boolean {
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return COMPLETION_TIME_PATTERN.test(data);
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}
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/**
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* Check if a rolling window of terminal output contains working patterns.
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* The rolling window catches patterns split across chunks (e.g., "Thin" + "king").
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*
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* @param window - Rolling window of recent terminal output (already includes current data)
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* @returns True if any working pattern is found in the window
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*/
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export function hasWorkingPattern(window: string): boolean {
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return WORKING_PATTERNS.some((pattern) => window.includes(pattern));
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}
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/**
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* Extract token count from data if present.
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* Parses patterns like "123.4k tokens" or "1.5M tokens".
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*
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* @param data - Raw terminal output data
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* @returns Parsed token count, or null if no token pattern found
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*/
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export function extractTokenCount(data: string): number | null {
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const match = data.match(TOKEN_PATTERN);
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if (!match) return null;
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let count = parseFloat(match[1]);
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const suffix = match[2]?.toLowerCase();
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if (suffix === 'k') count *= 1000;
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else if (suffix === 'm') count *= 1000000;
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return Math.round(count);
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}
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