mirror of
https://github.com/pacnpal/Roo-Code.git
synced 2025-12-20 04:11:10 -05:00
Improve strategies and confidence system
This commit is contained in:
@@ -1,8 +1,8 @@
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import { diff_match_patch } from 'diff-match-patch';
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import * as git from 'isomorphic-git';
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import { fs as memfs, vol } from 'memfs';
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import { Hunk } from './types';
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import { getDMPSimilarity } from './search-strategies';
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import { Change, EditResult, Hunk } from './types';
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import { getDMPSimilarity, validateEditResult } from './search-strategies';
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// Helper function to infer indentation
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function inferIndentation(line: string, contextLines: string[], previousIndent: string = ''): string {
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@@ -27,12 +27,6 @@ function inferIndentation(line: string, contextLines: string[], previousIndent:
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return previousIndent;
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}
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export type EditResult = {
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confidence: number;
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result: string[];
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strategy: string;
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};
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// Context matching edit strategy
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export function applyContextMatching(hunk: Hunk, content: string[], matchPosition: number): EditResult {
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if (matchPosition === -1) {
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@@ -43,6 +37,8 @@ export function applyContextMatching(hunk: Hunk, content: string[], matchPositio
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let sourceIndex = matchPosition;
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let previousIndent = '';
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const hunkChanges = hunk.changes.filter(c => c.type !== 'context');
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for (const change of hunk.changes) {
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if (change.type === 'context') {
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newResult.push(change.originalLine || (change.indent + change.content));
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@@ -66,10 +62,12 @@ export function applyContextMatching(hunk: Hunk, content: string[], matchPositio
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const similarity = getDMPSimilarity(
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content.slice(matchPosition, matchPosition + hunk.changes.length).join('\n'),
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newResult.slice(matchPosition, matchPosition + hunk.changes.length).join('\n')
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);
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)
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const confidence = validateEditResult(hunk, newResult.slice(matchPosition, matchPosition + hunkChanges.length + 1).join('\n'));
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return {
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confidence: similarity,
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confidence: similarity * confidence,
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result: newResult,
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strategy: 'context'
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};
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@@ -82,41 +80,53 @@ export function applyDMP(hunk: Hunk, content: string[], matchPosition: number):
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}
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const dmp = new diff_match_patch();
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const currentText = content.join('\n');
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const contextLines = hunk.changes
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.filter(c => c.type === 'context')
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.map(c => c.content);
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const editRegion = content.slice(matchPosition, matchPosition + hunk.changes.length);
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const editText = editRegion.join('\n');
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// Build the target text sequentially like in applyContextMatching
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let targetText = '';
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let previousIndent = '';
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for (const change of hunk.changes) {
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if (change.type === 'context') {
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targetText += (change.originalLine || (change.indent + change.content)) + '\n';
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previousIndent = change.indent;
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} else if (change.type === 'add') {
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const indent = change.indent || inferIndentation(change.content,
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hunk.changes.filter(c => c.type === 'context').map(c => c.originalLine || ''),
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previousIndent
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);
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targetText += indent + change.content + '\n';
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previousIndent = indent;
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}
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// Skip remove changes as they shouldn't appear in target
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}
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// Create a patch from the hunk with proper indentation
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const patch = dmp.patch_make(
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currentText,
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hunk.changes.reduce((acc, change) => {
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if (change.type === 'add') {
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const indent = change.indent || inferIndentation(change.content, contextLines);
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return acc + indent + change.content + '\n';
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}
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if (change.type === 'remove') {
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return acc.replace(change.content + '\n', '');
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}
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return acc + change.content + '\n';
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}, '')
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);
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// Trim the trailing newline
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targetText = targetText.replace(/\n$/, '');
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const [patchedText] = dmp.patch_apply(patch, currentText);
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const similarity = getDMPSimilarity(
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content.slice(matchPosition, matchPosition + hunk.changes.length).join('\n'),
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patchedText
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);
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const patch = dmp.patch_make(editText, targetText);
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const [patchedText] = dmp.patch_apply(patch, editText);
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// Construct result with edited portion
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const newResult = [
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...content.slice(0, matchPosition),
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...patchedText.split('\n'),
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...content.slice(matchPosition + hunk.changes.length)
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];
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const similarity = getDMPSimilarity(editText, patchedText)
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const confidence = validateEditResult(hunk, patchedText);
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return {
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confidence: similarity,
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result: patchedText.split('\n'),
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confidence: similarity * confidence,
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result: newResult,
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strategy: 'dmp'
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};
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}
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// Git edit strategy
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export async function applyGit(hunk: Hunk, content: string[], matchPosition: number): Promise<EditResult> {
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// Git edit strategy with cherry-pick approach
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async function applyGit(hunk: Hunk, content: string[], matchPosition: number): Promise<EditResult> {
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if (matchPosition === -1) {
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return { confidence: 0, result: content, strategy: 'git' };
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}
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@@ -124,26 +134,55 @@ export async function applyGit(hunk: Hunk, content: string[], matchPosition: num
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vol.reset();
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try {
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// Initialize git repo
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await git.init({ fs: memfs, dir: '/' });
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const originalContent = content.join('\n');
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await memfs.promises.writeFile('/file.txt', originalContent);
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// Create original content - only use the edit region
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const editRegion = content.slice(matchPosition, matchPosition + hunk.changes.length);
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const editText = editRegion.join('\n');
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await memfs.promises.writeFile('/file.txt', editText);
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await git.add({ fs: memfs, dir: '/', filepath: 'file.txt' });
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await git.commit({
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fs: memfs,
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dir: '/',
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author: { name: 'Temp', email: 'temp@example.com' },
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message: 'Initial commit'
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message: 'Original'
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});
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const originalHash = await git.resolveRef({ fs: memfs, dir: '/', ref: 'HEAD' });
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await git.branch({ fs: memfs, dir: '/', ref: 'patch-branch' });
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await git.checkout({ fs: memfs, dir: '/', ref: 'patch-branch' });
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const lines = originalContent.split('\n');
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const newLines = [...lines];
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let offset = matchPosition;
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// Create search content (content with removals)
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const searchLines = [...editRegion];
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let offset = 0;
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for (const change of hunk.changes) {
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if (change.type === 'remove') {
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const index = searchLines.findIndex(
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(line, i) => i >= offset && line.trimLeft() === change.content
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);
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if (index !== -1) {
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searchLines.splice(index, 1);
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}
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}
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if (change.type !== 'add') {
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offset++;
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}
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}
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// Create search branch and commit
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await git.branch({ fs: memfs, dir: '/', ref: 'search' });
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await git.checkout({ fs: memfs, dir: '/', ref: 'search' });
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await memfs.promises.writeFile('/file.txt', searchLines.join('\n'));
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await git.add({ fs: memfs, dir: '/', filepath: 'file.txt' });
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await git.commit({
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fs: memfs,
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dir: '/',
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author: { name: 'Temp', email: 'temp@example.com' },
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message: 'Search state'
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});
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const searchHash = await git.resolveRef({ fs: memfs, dir: '/', ref: 'HEAD' });
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// Create replace content (with additions)
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const replaceLines = [...searchLines];
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offset = 0;
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const contextLines = hunk.changes
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.filter(c => c.type === 'context')
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.map(c => c.content);
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@@ -151,42 +190,108 @@ export async function applyGit(hunk: Hunk, content: string[], matchPosition: num
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for (const change of hunk.changes) {
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if (change.type === 'add') {
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const indent = change.indent || inferIndentation(change.content, contextLines);
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newLines.splice(offset, 0, indent + change.content);
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replaceLines.splice(offset, 0, indent + change.content);
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offset++;
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} else if (change.type === 'remove') {
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const index = newLines.findIndex(
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(line, i) => i >= offset && line.trimLeft() === change.content
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);
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if (index !== -1) {
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newLines.splice(index, 1);
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}
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} else {
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} else if (change.type !== 'remove') {
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offset++;
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}
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}
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const modifiedContent = newLines.join('\n');
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await memfs.promises.writeFile('/file.txt', modifiedContent);
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// Create replace branch and commit
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await git.branch({ fs: memfs, dir: '/', ref: 'replace' });
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await git.checkout({ fs: memfs, dir: '/', ref: 'replace' });
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await memfs.promises.writeFile('/file.txt', replaceLines.join('\n'));
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await git.add({ fs: memfs, dir: '/', filepath: 'file.txt' });
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await git.commit({
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fs: memfs,
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dir: '/',
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author: { name: 'Temp', email: 'temp@example.com' },
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message: 'Apply changes'
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message: 'Replace state'
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});
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const replaceHash = await git.resolveRef({ fs: memfs, dir: '/', ref: 'HEAD' });
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const similarity = getDMPSimilarity(
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content.slice(matchPosition, matchPosition + hunk.changes.length).join('\n'),
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newLines.slice(matchPosition, matchPosition + hunk.changes.length).join('\n')
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);
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// Try both strategies:
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// 1. OSR: Cherry-pick replace onto original
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// 2. SR-SO: Apply search->replace changes to search->original
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return {
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confidence: similarity,
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result: newLines,
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strategy: 'git'
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};
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// Strategy 1: OSR
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await git.checkout({ fs: memfs, dir: '/', ref: originalHash });
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try {
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await git.merge({
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fs: memfs,
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dir: '/',
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ours: originalHash,
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theirs: replaceHash,
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author: { name: 'Temp', email: 'temp@example.com' },
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message: 'Cherry-pick OSR'
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});
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const osrResult = (await memfs.promises.readFile('/file.txt')).toString();
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const osrSimilarity = getDMPSimilarity(editText, osrResult)
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const confidence = validateEditResult(hunk, osrResult);
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if (osrSimilarity * confidence > 0.9) {
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// Construct result with edited portion
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const newResult = [
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...content.slice(0, matchPosition),
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...osrResult.split('\n'),
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...content.slice(matchPosition + hunk.changes.length)
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];
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return {
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confidence: osrSimilarity,
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result: newResult,
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strategy: 'git-osr'
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};
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}
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} catch (error) {
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console.log('OSR strategy failed:', error);
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}
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// Strategy 2: SR-SO
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await git.checkout({ fs: memfs, dir: '/', ref: searchHash });
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try {
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// First apply original changes
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await git.merge({
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fs: memfs,
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dir: '/',
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ours: searchHash,
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theirs: originalHash,
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author: { name: 'Temp', email: 'temp@example.com' },
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message: 'Apply original changes'
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});
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// Then apply replace changes
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await git.merge({
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fs: memfs,
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dir: '/',
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ours: 'HEAD',
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theirs: replaceHash,
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author: { name: 'Temp', email: 'temp@example.com' },
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message: 'Apply replace changes'
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});
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const srsoResult = (await memfs.promises.readFile('/file.txt')).toString();
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const srsoSimilarity = getDMPSimilarity(editText, srsoResult)
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const confidence = validateEditResult(hunk, srsoResult);
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// Construct result with edited portion
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const newResult = [
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...content.slice(0, matchPosition),
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...srsoResult.split('\n'),
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...content.slice(matchPosition + hunk.changes.length)
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];
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return {
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confidence: srsoSimilarity * confidence,
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result: newResult,
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strategy: 'git-srso'
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};
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} catch (error) {
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console.log('SR-SO strategy failed:', error);
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return { confidence: 0, result: content, strategy: 'git' };
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}
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} catch (error) {
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console.log('Git strategy failed:', error);
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return { confidence: 0, result: content, strategy: 'git' };
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} finally {
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vol.reset();
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@@ -195,9 +300,11 @@ export async function applyGit(hunk: Hunk, content: string[], matchPosition: num
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// Main edit function that tries strategies sequentially
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export async function applyEdit(hunk: Hunk, content: string[], matchPosition: number, confidence: number, debug: boolean = false): Promise<EditResult> {
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// Don't attempt any edits if confidence is too low and not in debug mode
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const MIN_CONFIDENCE = 0.9;
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if (confidence < MIN_CONFIDENCE && !debug) {
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if (confidence < MIN_CONFIDENCE) {
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console.log(`Search confidence (${confidence}) below minimum threshold (${MIN_CONFIDENCE}), skipping edit`);
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return { confidence: 0, result: content, strategy: 'none' };
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}
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@@ -211,15 +318,18 @@ export async function applyEdit(hunk: Hunk, content: string[], matchPosition: nu
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if (debug) {
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// In debug mode, try all strategies and return the first success
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const results = await Promise.all(strategies.map(async strategy => {
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console.log(`Attempting edit with ${strategy.name} strategy...`);
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const result = await strategy.apply();
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console.log(`Strategy ${strategy.name} succeeded with confidence ${result.confidence}`);
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return result;
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}));
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const successfulResults = results.filter(result => result.confidence > MIN_CONFIDENCE);
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if (successfulResults.length > 0) {
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return successfulResults.reduce((best, current) =>
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const bestResult = successfulResults.reduce((best, current) =>
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current.confidence > best.confidence ? current : best
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);
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return bestResult;
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}
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} else {
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// Normal mode - try strategies sequentially until one succeeds
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@@ -162,7 +162,8 @@ Your diff here
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): Promise<DiffResult> {
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const MIN_CONFIDENCE = 0.9
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const parsedDiff = this.parseUnifiedDiff(diffContent)
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let result = originalContent.split("\n")
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const originalLines = originalContent.split("\n")
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let result = [...originalLines]
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for (const hunk of parsedDiff.hunks) {
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const contextStr = prepareSearchString(hunk.changes)
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@@ -1,7 +1,7 @@
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import { compareTwoStrings } from 'string-similarity';
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import { closest } from 'fastest-levenshtein';
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import { diff_match_patch } from 'diff-match-patch';
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import { Change } from './types';
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import { Change, Hunk } from './types';
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export type SearchResult = {
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index: number;
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@@ -32,10 +32,70 @@ export function getDMPSimilarity(original: string, modified: string): number {
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dmp.diff_cleanupSemantic(diffs);
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const patches = dmp.patch_make(original, diffs);
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const [expectedText] = dmp.patch_apply(patches, original);
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const similarity = evaluateSimilarity(expectedText, modified);
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return similarity;
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}
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// Helper function to validate edit results using hunk information
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// Returns a confidence reduction value between 0 and 1
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// Example: If similarity is 0.8 and MIN_CONFIDENCE is 0.95,
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// returns 0.1 (0.5 * (1 - 0.8)) to reduce confidence proportionally but with less impact.
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// If similarity >= MIN_CONFIDENCE, returns 0 (no reduction).
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export function validateEditResult(hunk: Hunk, result: string): number {
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const hunkDeepCopy: Hunk = JSON.parse(JSON.stringify(hunk));
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// Create skeleton of original content (context + removed lines)
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const originalSkeleton = hunkDeepCopy.changes
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.filter(change => change.type === 'context' || change.type === 'remove')
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.map(change => change.content)
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.join('\n');
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// Create skeleton of expected result (context + added lines)
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const expectedSkeleton = hunkDeepCopy.changes
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.filter(change => change.type === 'context' || change.type === 'add')
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.map(change => change.content)
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.join('\n');
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// Compare with original content
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const originalSimilarity = evaluateSimilarity(originalSkeleton, result);
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// If result is too similar to original, it means changes weren't applied
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if (originalSimilarity > 0.9) {
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console.log('Result too similar to original content:', originalSimilarity);
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return 0.5; // Significant confidence reduction
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}
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// Compare with expected result
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const expectedSimilarity = evaluateSimilarity(expectedSkeleton, result);
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console.log('Original similarity:', originalSimilarity);
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console.log('Expected similarity:', expectedSimilarity);
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console.log('originalSkeleton:', originalSkeleton);
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console.log('expectedSkeleton:', expectedSkeleton);
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console.log('result:', result);
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// Scale between 0.98 and 1.0 (4% impact) based on expected similarity
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const multiplier = expectedSimilarity < MIN_CONFIDENCE
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? 0.96 + (0.04 * expectedSimilarity)
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: 1;
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return multiplier;
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}
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// Helper function to validate context lines against original content
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function validateContextLines(searchStr: string, content: string): number {
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// Extract just the context lines from the search string
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const contextLines = searchStr.split('\n')
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.filter(line => !line.startsWith('-')); // Exclude removed lines
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// Compare context lines with content
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const similarity = evaluateSimilarity(contextLines.join('\n'), content);
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// Context lines must match very closely, or confidence drops significantly
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return similarity < MIN_CONFIDENCE ? similarity * 0.3 : similarity;
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}
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// Exact match strategy
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export function findExactMatch(searchStr: string, content: string[], startIndex: number = 0): SearchResult {
|
||||
const contentStr = content.slice(startIndex).join('\n');
|
||||
@@ -48,10 +108,13 @@ export function findExactMatch(searchStr: string, content: string[], startIndex:
|
||||
startIndex + contentStr.slice(0, exactMatch).split('\n').length - 1 + searchLines.length
|
||||
).join('\n');
|
||||
|
||||
const dmpValid = getDMPSimilarity(searchStr, matchedContent) >= MIN_CONFIDENCE;
|
||||
const similarity = getDMPSimilarity(searchStr, matchedContent);
|
||||
const contextSimilarity = validateContextLines(searchStr, matchedContent);
|
||||
const confidence = Math.min(similarity, contextSimilarity);
|
||||
|
||||
return {
|
||||
index: startIndex + contentStr.slice(0, exactMatch).split('\n').length - 1,
|
||||
confidence: dmpValid ? 1.0 : 0.9,
|
||||
confidence,
|
||||
strategy: 'exact'
|
||||
};
|
||||
}
|
||||
@@ -70,8 +133,9 @@ export function findSimilarityMatch(searchStr: string, content: string[], startI
|
||||
const windowStr = content.slice(i, i + searchLines.length).join('\n');
|
||||
const score = compareTwoStrings(searchStr, windowStr);
|
||||
if (score > bestScore && score >= minScore) {
|
||||
const dmpValid = getDMPSimilarity(searchStr, windowStr) >= MIN_CONFIDENCE;
|
||||
const adjustedScore = dmpValid ? score : score * 0.9;
|
||||
const similarity = getDMPSimilarity(searchStr, windowStr);
|
||||
const contextSimilarity = validateContextLines(searchStr, windowStr);
|
||||
const adjustedScore = Math.min(similarity, contextSimilarity) * score;
|
||||
|
||||
if (adjustedScore > bestScore) {
|
||||
bestScore = adjustedScore;
|
||||
@@ -99,10 +163,13 @@ export function findLevenshteinMatch(searchStr: string, content: string[], start
|
||||
if (candidates.length > 0) {
|
||||
const closestMatch = closest(searchStr, candidates);
|
||||
const index = startIndex + candidates.indexOf(closestMatch);
|
||||
const dmpValid = getDMPSimilarity(searchStr, closestMatch) >= MIN_CONFIDENCE;
|
||||
const similarity = getDMPSimilarity(searchStr, closestMatch);
|
||||
const contextSimilarity = validateContextLines(searchStr, closestMatch);
|
||||
const confidence = Math.min(similarity, contextSimilarity) * 0.7; // Still apply Levenshtein penalty
|
||||
|
||||
return {
|
||||
index,
|
||||
confidence: dmpValid ? 0.7 : 0.6,
|
||||
confidence,
|
||||
strategy: 'levenshtein'
|
||||
};
|
||||
}
|
||||
|
||||
@@ -11,4 +11,10 @@ export type Hunk = {
|
||||
|
||||
export type Diff = {
|
||||
hunks: Hunk[];
|
||||
};
|
||||
};
|
||||
|
||||
export type EditResult = {
|
||||
confidence: number;
|
||||
result: string[];
|
||||
strategy: string;
|
||||
};
|
||||
Reference in New Issue
Block a user