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T
fegger 59df2f6856 Refactor Ollama client and related components 
Update error handling and improve streaming capabilities in the Ollama client and related components. Key changes
include:

- Simplify error types and improve error handling
- Refactor streaming logic to use async generators
- Update tool execution and vault indexing
- Improve utility functions and types
- Update test files to reflect changes
2026-05-05 17:09:16 +02:00

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<h1><a href="index.html">All files</a> vault-indexer.ts</h1>
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<span class="strong">99.16% </span>
<span class="quiet">Statements</span>
<span class='fraction'>119/120</span>
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<span class="strong">91.66% </span>
<span class="quiet">Branches</span>
<span class='fraction'>33/36</span>
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<span class="strong">100% </span>
<span class="quiet">Functions</span>
<span class='fraction'>16/16</span>
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<span class="strong">99.09% </span>
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<span class='fraction'>110/111</span>
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<a name='L319'></a><a href='#L319'>319</a>
<a name='L320'></a><a href='#L320'>320</a>
<a name='L321'></a><a href='#L321'>321</a>
<a name='L322'></a><a href='#L322'>322</a>
<a name='L323'></a><a href='#L323'>323</a>
<a name='L324'></a><a href='#L324'>324</a>
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<a name='L329'></a><a href='#L329'>329</a>
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<a name='L333'></a><a href='#L333'>333</a>
<a name='L334'></a><a href='#L334'>334</a>
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<a name='L336'></a><a href='#L336'>336</a>
<a name='L337'></a><a href='#L337'>337</a>
<a name='L338'></a><a href='#L338'>338</a>
<a name='L339'></a><a href='#L339'>339</a>
<a name='L340'></a><a href='#L340'>340</a>
<a name='L341'></a><a href='#L341'>341</a>
<a name='L342'></a><a href='#L342'>342</a>
<a name='L343'></a><a href='#L343'>343</a>
<a name='L344'></a><a href='#L344'>344</a>
<a name='L345'></a><a href='#L345'>345</a>
<a name='L346'></a><a href='#L346'>346</a>
<a name='L347'></a><a href='#L347'>347</a>
<a name='L348'></a><a href='#L348'>348</a>
<a name='L349'></a><a href='#L349'>349</a>
<a name='L350'></a><a href='#L350'>350</a>
<a name='L351'></a><a href='#L351'>351</a>
<a name='L352'></a><a href='#L352'>352</a>
<a name='L353'></a><a href='#L353'>353</a>
<a name='L354'></a><a href='#L354'>354</a>
<a name='L355'></a><a href='#L355'>355</a>
<a name='L356'></a><a href='#L356'>356</a>
<a name='L357'></a><a href='#L357'>357</a>
<a name='L358'></a><a href='#L358'>358</a>
<a name='L359'></a><a href='#L359'>359</a>
<a name='L360'></a><a href='#L360'>360</a>
<a name='L361'></a><a href='#L361'>361</a>
<a name='L362'></a><a href='#L362'>362</a>
<a name='L363'></a><a href='#L363'>363</a>
<a name='L364'></a><a href='#L364'>364</a>
<a name='L365'></a><a href='#L365'>365</a>
<a name='L366'></a><a href='#L366'>366</a>
<a name='L367'></a><a href='#L367'>367</a>
<a name='L368'></a><a href='#L368'>368</a>
<a name='L369'></a><a href='#L369'>369</a>
<a name='L370'></a><a href='#L370'>370</a>
<a name='L371'></a><a href='#L371'>371</a>
<a name='L372'></a><a href='#L372'>372</a>
<a name='L373'></a><a href='#L373'>373</a>
<a name='L374'></a><a href='#L374'>374</a>
<a name='L375'></a><a href='#L375'>375</a>
<a name='L376'></a><a href='#L376'>376</a>
<a name='L377'></a><a href='#L377'>377</a>
<a name='L378'></a><a href='#L378'>378</a>
<a name='L379'></a><a href='#L379'>379</a>
<a name='L380'></a><a href='#L380'>380</a>
<a name='L381'></a><a href='#L381'>381</a>
<a name='L382'></a><a href='#L382'>382</a>
<a name='L383'></a><a href='#L383'>383</a>
<a name='L384'></a><a href='#L384'>384</a>
<a name='L385'></a><a href='#L385'>385</a>
<a name='L386'></a><a href='#L386'>386</a>
<a name='L387'></a><a href='#L387'>387</a>
<a name='L388'></a><a href='#L388'>388</a>
<a name='L389'></a><a href='#L389'>389</a>
<a name='L390'></a><a href='#L390'>390</a>
<a name='L391'></a><a href='#L391'>391</a>
<a name='L392'></a><a href='#L392'>392</a>
<a name='L393'></a><a href='#L393'>393</a>
<a name='L394'></a><a href='#L394'>394</a>
<a name='L395'></a><a href='#L395'>395</a>
<a name='L396'></a><a href='#L396'>396</a>
<a name='L397'></a><a href='#L397'>397</a>
<a name='L398'></a><a href='#L398'>398</a></td><td class="line-coverage quiet"><span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">31x</span>
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<span class="cline-any cline-yes">15x</span>
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<span class="cline-any cline-yes">38x</span>
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<span class="cline-any cline-yes">268x</span>
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<span class="cline-any cline-yes">841x</span>
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<span class="cline-any cline-yes">841x</span>
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<span class="cline-any cline-yes">60x</span>
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<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">60x</span>
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<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">60x</span>
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<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">60x</span>
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<span class="cline-any cline-yes">58x</span>
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<span class="cline-any cline-yes">60x</span>
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<span class="cline-any cline-yes">58x</span>
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<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">58x</span>
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<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">58x</span>
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<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">64x</span>
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<span class="cline-any cline-yes">64x</span>
<span class="cline-any cline-yes">1x</span>
<span class="cline-any cline-neutral">&nbsp;</span>
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<span class="cline-any cline-yes">64x</span>
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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">import { Vault, TFile } from 'obsidian';
import { VaultIndexEntry } from './types';
&nbsp;
const MAX_CONTENT_PREVIEW_LENGTH = 500;
const BATCH_SIZE = 10;
const MAX_TOKENS = 10000;
const TITLE_WEIGHT = 10;
const HEADING_WEIGHT = 5;
const FRONTMATTER_WEIGHT = 8;
const FIRST_PARAGRAPH_WEIGHT = 3;
const BODY_WEIGHT = 1;
const PHRASE_MATCH_BONUS = 2;
const EXACT_WORD_MATCH_BONUS = 1.5;
&nbsp;
interface TokenizedContent {
text: string;
tokens: string[];
title: string;
titleTokens: string[];
headings: string[];
headingTokens: string[][];
frontmatter: Record&lt;string, string&gt;;
frontmatterTokens: string[];
firstParagraph: string;
firstParagraphTokens: string[];
}
&nbsp;
export class VaultIndexer {
private vault: Vault;
&nbsp;
constructor(vault: Vault) {
this.vault = vault;
}
&nbsp;
async searchVault(query: string, limit: number = <span class="branch-0 cbranch-no" title="branch not covered" >5)</span>: Promise&lt;VaultIndexEntry[]&gt; {
const files = this.vault.getMarkdownFiles();
const results: VaultIndexEntry[] = [];
&nbsp;
const queryTokens = this.tokenize(query);
if (queryTokens.length === 0) {
return [];
}
&nbsp;
// Process files in batches with concurrency limit
for (let i = 0; i &lt; files.length; i += BATCH_SIZE) {
const batch = files.slice(i, i + BATCH_SIZE);
const batchResults = await Promise.allSettled(
batch.map(async (file) =&gt; {
const fullContent = await this.vault.read(file);
const tokenized = this.tokenizeContent(fullContent, file);
const score = this.calculateWeightedScore(tokenized, query, queryTokens);
&nbsp;
if (score &gt; 0) {
return {
title: file.basename,
content: fullContent.substring(0, MAX_CONTENT_PREVIEW_LENGTH),
score,
} as VaultIndexEntry;
}
return null;
})
);
&nbsp;
for (const result of batchResults) {
if (result.status === 'fulfilled' &amp;&amp; result.value !== null) {
results.push(result.value);
} else if (result.status === 'rejected') {
console.warn(
`[VaultIndexer] Failed to read file: ${result.reason instanceof Error ? result.reason.message : <span class="branch-1 cbranch-no" title="branch not covered" >String(result.reason)}</span>`
);
}
}
}
&nbsp;
return results.sort((a, b) =&gt; b.score - a.score).slice(0, limit);
}
&nbsp;
/**
* Tokenize a string into lowercase words, filtering out stop words and very short tokens
*/
private tokenize(text: string): string[] {
return text
.toLowerCase()
.replace(/[^\w\s]/g, ' ')
.split(/\s+/)
.filter((token) =&gt; {
// Filter out common stop words and very short tokens
const stopWords = new Set([
'a',
'an',
'the',
'and',
'or',
'but',
'in',
'on',
'at',
'to',
'for',
'of',
'with',
'by',
'is',
'are',
'was',
'were',
'be',
'been',
'have',
'has',
'had',
'do',
'does',
'did',
'will',
'would',
'could',
'should',
'may',
'might',
'must',
'shall',
'can',
'need',
'dare',
'ought',
'used',
'it',
'its',
'this',
'that',
'these',
'those',
'i',
'you',
'he',
'she',
'we',
'they',
'me',
'him',
'her',
'us',
'them',
'my',
'your',
'his',
'our',
'their',
'mine',
'yours',
'hers',
'ours',
'theirs',
'what',
'which',
'who',
'whom',
'whose',
'where',
'when',
'why',
'how',
'not',
'no',
'nor',
'so',
'if',
'then',
'than',
'too',
'very',
'just',
'about',
'above',
'after',
'again',
'all',
'am',
'any',
'as',
'because',
'before',
'being',
'below',
'between',
'both',
'during',
'each',
'few',
'further',
'get',
'got',
'here',
'into',
'more',
'most',
'much',
'myself',
'nothing',
'only',
'other',
'out',
'over',
'own',
'same',
'some',
'such',
'there',
'through',
'under',
'until',
'up',
'while',
'why',
'yes',
'also',
'from',
]);
return token.length &gt; 1 &amp;&amp; !stopWords.has(token);
});
}
&nbsp;
/**
* Tokenize markdown content into structured components
*/
private tokenizeContent(content: string, file: TFile): TokenizedContent {
const title = file.basename;
const titleTokens = this.tokenize(title);
&nbsp;
// Extract headings
const headingRegex = /^(#{1,6})\s+(.+)$/gm;
const headings: string[] = [];
let match: RegExpExecArray | null;
const headingRegexState = /^(#{1,6})\s+(.+)$/gm;
&nbsp;
while ((match = headingRegexState.exec(content)) !== null) {
headings.push(match[2]);
}
&nbsp;
// Extract frontmatter (YAML between --- markers)
const frontmatter: Record&lt;string, string&gt; = {};
const frontmatterRegex = /^---\n([\s\S]*?)\n---/;
const frontmatterMatch = frontmatterRegex.exec(content);
if (frontmatterMatch) {
const frontmatterContent = frontmatterMatch[1];
const lines = frontmatterContent.split('\n');
for (const line of lines) {
const colonIndex = line.indexOf(':');
if (colonIndex &gt; 0) {
const key = line.substring(0, colonIndex).trim();
const value = line.substring(colonIndex + 1).trim();
frontmatter[key] = value;
}
}
}
&nbsp;
// Get frontmatter tokens from values
const frontmatterTokens = this.tokenize(Object.values(frontmatter).join(' '));
&nbsp;
// Extract first paragraph (non-empty lines after frontmatter, stop at paragraph break)
const cleanContent = content.replace(/^---\n[\s\S]*?\n---/, '').trim();
const lines = cleanContent.split('\n');
let firstParagraph = '';
for (const line of lines) {
const trimmed = line.trim();
// Stop at empty line (paragraph break)
if (!trimmed) {
break;
}
// Skip headings
if (trimmed.startsWith('#')) {
continue;
}
firstParagraph += trimmed + ' ';
if (firstParagraph.length &gt; 200) {
break;
}
}
const firstParagraphTokens = this.tokenize(firstParagraph);
&nbsp;
// Get body tokens (limit to prevent memory issues with huge files)
const bodyText = cleanContent.substring(0, MAX_TOKENS);
const tokens = this.tokenize(bodyText);
&nbsp;
return {
text: bodyText,
tokens,
title,
titleTokens,
headings,
headingTokens: headings.map((h) =&gt; this.tokenize(h)),
frontmatter,
frontmatterTokens,
firstParagraph,
firstParagraphTokens,
};
}
&nbsp;
/**
* Calculate a weighted score based on where query tokens appear
* Uses a combination of position weighting, exact matching, and phrase matching
*/
private calculateWeightedScore(
tokenized: TokenizedContent,
query: string,
queryTokens: string[]
): number {
let score = 0;
const queryLower = query.toLowerCase();
const contentLower = tokenized.text.toLowerCase();
const contentWithBoundaries = '\\b' + contentLower + '\\b';
&nbsp;
// Check for exact phrase match (bonus)
if (queryLower.length &gt; 0 &amp;&amp; contentLower.includes(queryLower)) {
score += PHRASE_MATCH_BONUS * queryTokens.length;
}
&nbsp;
for (const queryToken of queryTokens) {
let tokenScore = 0;
&nbsp;
// Title match (highest priority)
if (tokenized.titleTokens.some((t) =&gt; this.exactMatch(t, queryToken))) {
tokenScore += TITLE_WEIGHT;
}
&nbsp;
// Frontmatter match (high priority - often contains tags/categories)
if (tokenized.frontmatterTokens.some((t) =&gt; this.exactMatch(t, queryToken))) {
tokenScore += FRONTMATTER_WEIGHT;
}
&nbsp;
// Heading match (high priority)
for (const headingTokens of tokenized.headingTokens) {
if (headingTokens.some((t) =&gt; this.exactMatch(t, queryToken))) {
tokenScore += HEADING_WEIGHT;
break; // Only count once per query token
}
}
&nbsp;
// First paragraph match (medium priority - likely contains topic summary)
if (tokenized.firstParagraphTokens.some((t) =&gt; this.exactMatch(t, queryToken))) {
tokenScore += FIRST_PARAGRAPH_WEIGHT;
}
&nbsp;
// Body match (lowest priority)
const bodyMatchCount = tokenized.tokens.filter((t) =&gt; this.exactMatch(t, queryToken)).length;
if (bodyMatchCount &gt; 0) {
// Use logarithmic scaling to prevent very frequent words from dominating
tokenScore += BODY_WEIGHT * Math.log(1 + bodyMatchCount);
}
&nbsp;
// Exact word boundary bonus
if (new RegExp(`\\b${queryToken}\\b`).test(contentLower)) {
tokenScore *= EXACT_WORD_MATCH_BONUS;
}
&nbsp;
score += tokenScore;
}
&nbsp;
// Normalize by document length to prevent bias toward longer documents
// Use a gentle normalization: divide by log of token count + 1
const lengthNorm = Math.log(1 + tokenized.tokens.length / 100);
<span class="missing-if-branch" title="if path not taken" >I</span>if (lengthNorm &gt; 1) {
<span class="cstat-no" title="statement not covered" > score /= lengthNorm;</span>
}
&nbsp;
return score;
}
&nbsp;
/**
* Check for exact or stemmed word match
* Handles plurals and common suffixes
*/
private exactMatch(textToken: string, queryToken: string): boolean {
// Exact match
if (textToken === queryToken) {
return true;
}
&nbsp;
// Handle plurals
if (queryToken.endsWith('s') &amp;&amp; textToken === queryToken.slice(0, -1)) {
return true;
}
if (textToken.endsWith('s') &amp;&amp; textToken.slice(0, -1) === queryToken) {
return true;
}
&nbsp;
// Handle -ed and -ing suffixes (simple stemmer)
const stem = (word: string): string =&gt; {
if (word.endsWith('ing')) return word.slice(0, -3);
if (word.endsWith('ed')) return word.slice(0, -2);
return word;
};
&nbsp;
return stem(textToken) === stem(queryToken);
}
}
&nbsp;</pre></td></tr></table></pre>
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