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feat: AI Quickaction to generate caption and alt text for images

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hugo
2026-02-13 22:48:15 +01:00
parent 7240bae3ec
commit 642c6f5294
10 changed files with 388 additions and 48 deletions
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1
src/main/engine/MetaEngine.ts
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@@ -13,6 +13,7 @@ export interface ProjectMetadata {
name: string;
description?: string;
dataPath?: string; // Custom path for project data
mainLanguage?: string; // Main language for AI-generated content (ISO code, e.g., 'en', 'de', 'es')
}
/**

129
src/main/engine/OpenCodeManager.ts
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@@ -1330,6 +1330,135 @@ Remember: Only suggest mappings from NEW items to EXISTING items. Consider langu
}
}
/**
* Analyze a media image and generate alt text and caption using AI
* This is a one-shot request that looks at the image and suggests metadata
*/
async analyzeMediaImage(mediaId: string, language: string = 'en'): Promise<{
success: boolean;
alt?: string;
caption?: string;
error?: string;
}> {
if (!this.apiKey) {
return { success: false, error: 'API key not configured. Please set your OpenCode API key in Settings.' };
}
// Get media metadata
const mediaItem = await this.mediaEngine.getMedia(mediaId);
if (!mediaItem) {
return { success: false, error: 'Media item not found' };
}
// Verify it's an image
if (!mediaItem.mimeType.startsWith('image/')) {
return { success: false, error: `Cannot analyze this file type: ${mediaItem.mimeType}. Only images are supported.` };
}
// Get the large thumbnail for better quality analysis (or medium as fallback)
let dataUrl = await this.mediaEngine.getThumbnailDataUrl(mediaId, 'large');
if (!dataUrl) {
dataUrl = await this.mediaEngine.getThumbnailDataUrl(mediaId, 'medium');
}
if (!dataUrl) {
return { success: false, error: 'Image thumbnail not available. Try regenerating thumbnails from Settings.' };
}
// Extract base64 data (remove data:image/webp;base64, prefix)
const base64Data = dataUrl.replace(/^data:image\/\w+;base64,/, '');
// Map language code to full name for clearer instructions
const languageNames: Record<string, string> = {
en: 'English', de: 'German', es: 'Spanish', fr: 'French', it: 'Italian',
pt: 'Portuguese', nl: 'Dutch', pl: 'Polish', ru: 'Russian', ja: 'Japanese',
zh: 'Chinese', ko: 'Korean', ar: 'Arabic', hi: 'Hindi', tr: 'Turkish',
sv: 'Swedish', da: 'Danish', no: 'Norwegian', fi: 'Finnish', cs: 'Czech',
};
const languageName = languageNames[language] || language;
const systemPrompt = `Generate concise alt text and caption for this image in ${languageName}.
ALT: Brief, objective description for screen readers (5-15 words). No "Image of" prefix.
CAPTION: Short, engaging blog caption (5-20 words).
Respond with JSON only: {"alt": "...", "caption": "..."}`;
try {
// Using Claude Sonnet 4.5 for best image analysis
const modelId = 'claude-sonnet-4-5';
const body = {
model: modelId,
max_tokens: 200,
system: systemPrompt,
messages: [
{
role: 'user',
content: [
{
type: 'image',
source: {
type: 'base64',
media_type: 'image/webp',
data: base64Data,
},
},
{
type: 'text',
text: 'Analyze and respond with JSON.',
},
],
},
],
};
const response = await this.httpRequest(ZEN_ANTHROPIC_URL, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'x-api-key': this.apiKey,
'Authorization': `Bearer ${this.apiKey}`,
'anthropic-version': '2023-06-01',
},
body: JSON.stringify(body),
});
if (response.statusCode !== 200) {
console.error('[OpenCodeManager] Image analysis failed:', response.body);
const errorMsg = this.parseErrorResponse(response);
return { success: false, error: errorMsg };
}
const data = JSON.parse(response.body);
// Extract text from Anthropic response
let responseText = '';
for (const block of data.content || []) {
if (block.type === 'text') {
responseText += block.text;
}
}
// Parse the JSON response
const jsonMatch = responseText.match(/\{[\s\S]*\}/);
if (!jsonMatch) {
console.error('[OpenCodeManager] No JSON found in image analysis response:', responseText);
return { success: false, error: 'Invalid response format from AI' };
}
const result = JSON.parse(jsonMatch[0]);
return {
success: true,
alt: result.alt || undefined,
caption: result.caption || undefined,
};
} catch (error) {
console.error('[OpenCodeManager] Error analyzing media image:', error);
return { success: false, error: (error as Error).message };
}
}
private httpRequest(
urlStr: string,
options: {

68
src/main/engine/PostEngine.ts
View File

@@ -542,14 +542,12 @@ export class PostEngine extends EventEmitter {
.offset(offset)
.all();
const items: PostData[] = [];
for (const dbPost of dbPosts) {
const postData = await this.getPost(dbPost.id);
if (postData) {
items.push(postData);
}
}
// For listing, we don't need to load content from filesystem.
// Use DB content for drafts, empty string for published posts.
// This avoids expensive filesystem reads for each post.
const items: PostData[] = dbPosts.map(dbPost =>
this.dbRowToPostData(dbPost, dbPost.content || '')
);
return {
items,
@@ -571,16 +569,9 @@ export class PostEngine extends EventEmitter {
.orderBy(desc(posts.createdAt))
.all();
const result: PostData[] = [];
for (const dbPost of dbPosts) {
const postData = await this.getPost(dbPost.id);
if (postData) {
result.push(postData);
}
}
return result;
// Use DB content for drafts, empty string for published posts.
// This avoids expensive filesystem reads.
return dbPosts.map(dbPost => this.dbRowToPostData(dbPost, dbPost.content || ''));
}
async getPostsByStatus(status: 'draft' | 'published' | 'archived'): Promise<PostData[]> {
@@ -595,16 +586,9 @@ export class PostEngine extends EventEmitter {
.orderBy(desc(posts.createdAt))
.all();
const result: PostData[] = [];
for (const dbPost of dbPosts) {
const postData = await this.getPost(dbPost.id);
if (postData) {
result.push(postData);
}
}
return result;
// Use DB content for drafts, empty string for published posts.
// This avoids expensive filesystem reads.
return dbPosts.map(dbPost => this.dbRowToPostData(dbPost, dbPost.content || ''));
}
async getPostsFiltered(filter: PostFilter): Promise<PostData[]> {
@@ -647,21 +631,21 @@ export class PostEngine extends EventEmitter {
let result: PostData[] = [];
for (const dbPost of dbPosts) {
const postData = await this.getPost(dbPost.id);
if (postData) {
// Client-side filtering for tags/categories (JSON array)
if (filter.tags && filter.tags.length > 0) {
const hasAllTags = filter.tags.every(tag => postData.tags.includes(tag));
if (!hasAllTags) continue;
}
if (filter.categories && filter.categories.length > 0) {
const hasAnyCategory = filter.categories.some(cat => postData.categories.includes(cat));
if (!hasAnyCategory) continue;
}
result.push(postData);
// Use DB data directly instead of reading from filesystem
const postData = this.dbRowToPostData(dbPost, dbPost.content || '');
// Client-side filtering for tags/categories (JSON array)
if (filter.tags && filter.tags.length > 0) {
const hasAllTags = filter.tags.every(tag => postData.tags.includes(tag));
if (!hasAllTags) continue;
}
if (filter.categories && filter.categories.length > 0) {
const hasAnyCategory = filter.categories.some(cat => postData.categories.includes(cat));
if (!hasAnyCategory) continue;
}
result.push(postData);
}
return result;