Claude-Code-Workflow/apply-fuzzy.py

#!/usr/bin/env python3
import re

with open('ccw/src/tools/smart-search.js', 'r', encoding='utf-8') as f:
    content = f.read()

# Step 1: Add buildFuzzyRegex after detectRelationship
fuzzy_regex_func = r'''
/**
 * Build fuzzy regex pattern for approximate matching
 * @param {string} query - Search query string
 * @param {number} maxDistance - Edit distance tolerance (default: 1)
 * @returns {string} - Regex pattern suitable for ripgrep -e flag
 */
function buildFuzzyRegex(query, maxDistance = 1) {
  const escaped = query.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
  let pattern;
  if (maxDistance === 1) {
    pattern = escaped.split('').map(c => {
      const upper = c.toUpperCase();
      const lower = c.toLowerCase();
      if (upper !== lower) {
        return `[${upper}${lower}]`;
      }
      return c;
    }).join('');
  } else if (maxDistance === 2) {
    pattern = escaped.split('').map(c => `${c}?`).join('.*');
  } else {
    pattern = escaped;
  }
  if (/^[a-zA-Z0-9_]+$/.test(query)) {
    pattern = `\\b${pattern}\\b`;
  }
  return pattern;
}
'''

content = re.sub(
    r'(function detectRelationship\(query\) \{[^}]+\})\n\n(/\*\*\n \* Classify)',
    r'\1' + fuzzy_regex_func + r'\n\2',
    content
)

# Step 2: Add fuzzy param to buildRipgrepCommand
content = content.replace(
    "const { query, paths = ['.'], contextLines = 0, maxResults = 100, includeHidden = false } = params;",
    "const { query, paths = ['.'], contextLines = 0, maxResults = 100, includeHidden = false, fuzzy = false } = params;"
)

# Step 3: Replace literal matching with fuzzy conditional
content = re.sub(
    r'  // Use literal/fixed string matching for exact mode\n  args\.push\(\'-F\', query\);',
    r'''  // Use fuzzy regex or literal matching based on mode
  if (fuzzy) {
    args.push('-i', '-e', buildFuzzyRegex(query));
  } else {
    args.push('-F', query);
  }''',
    content
)

# Step 4: Update executeAutoMode fuzzy case
fuzzy_case = '''    case 'fuzzy':
      // Execute fuzzy mode and enrich result with classification metadata
      const fuzzyResult = await executeFuzzyMode(params);
      return {
        ...fuzzyResult,
        metadata: {
          ...fuzzyResult.metadata,
          classified_as: classification.mode,
          confidence: classification.confidence,
          reasoning: classification.reasoning
        }
      };

    case 'semantic':'''

content = re.sub(
    r"    case 'fuzzy':\n    case 'semantic':",
    fuzzy_case,
    content
)

# Step 5: Replace executeFuzzyMode
fuzzy_impl = '''async function executeFuzzyMode(params) {
  const { query, paths = [], contextLines = 0, maxResults = 100, includeHidden = false } = params;

  // Check ripgrep availability
  if (!checkToolAvailability('rg')) {
    return {
      success: false,
      error: 'ripgrep not available - please install ripgrep (rg) to use fuzzy search mode'
    };
  }

  // Build ripgrep command with fuzzy=true
  const { command, args } = buildRipgrepCommand({
    query,
    paths: paths.length > 0 ? paths : ['.'],
    contextLines,
    maxResults,
    includeHidden,
    fuzzy: true
  });

  return new Promise((resolve) => {
    const child = spawn(command, args, {
      cwd: process.cwd(),
      stdio: ['ignore', 'pipe', 'pipe']
    });

    let stdout = '';
    let stderr = '';

    child.stdout.on('data', (data) => {
      stdout += data.toString();
    });

    child.stderr.on('data', (data) => {
      stderr += data.toString();
    });

    child.on('close', (code) => {
      const results = [];

      if (code === 0 || (code === 1 && stdout.trim())) {
        const lines = stdout.split('\\n').filter(line => line.trim());

        for (const line of lines) {
          try {
            const item = JSON.parse(line);
            if (item.type === 'match') {
              const match = {
                file: item.data.path.text,
                line: item.data.line_number,
                column: item.data.submatches && item.data.submatches[0] ? item.data.submatches[0].start + 1 : 1,
                content: item.data.lines.text.trim()
              };
              results.push(match);
            }
          } catch (err) {
            continue;
          }
        }

        resolve({
          success: true,
          results,
          metadata: {
            mode: 'fuzzy',
            backend: 'ripgrep-regex',
            fuzzy_strategy: 'approximate regex',
            count: results.length,
            query
          }
        });
      } else {
        resolve({
          success: false,
          error: `ripgrep execution failed with code ${code}: ${stderr}`,
          results: []
        });
      }
    });

    child.on('error', (error) => {
      resolve({
        success: false,
        error: `Failed to spawn ripgrep: ${error.message}`,
        results: []
      });
    });
  });
}'''

content = re.sub(
    r'async function executeFuzzyMode\(params\) \{.*?  \}\n\}',
    fuzzy_impl,
    content,
    flags=re.DOTALL
)

with open('ccw/src/tools/smart-search.js', 'w', encoding='utf-8') as f:
    f.write(content)

print('Fuzzy mode implementation applied successfully')