# Testing Embed Content Reading

## Test Cases

### Test 1: News Article with Image
**What to do:** Send a news article link to Miku
```
@Miku what do you think about this?
https://www.bbc.com/news/articles/example
```

**Expected behavior:**
- Miku reads the article title and description
- Analyzes the embedded image
- Provides commentary based on both text and image

**Log output:**
```
📰 Processing article embed
🖼️ Processing image from embed: [url]
💬 Server embed response to [user]
```

---

### Test 2: YouTube Video
**What to do:** Share a YouTube link
```
@Miku check this out
https://www.youtube.com/watch?v=example
```

**Expected behavior:**
- Miku reads video title and description from embed
- May analyze thumbnail image
- Responds with context about the video

---

### Test 3: Twitter/X Post
**What to do:** Share a tweet link
```
@Miku thoughts?
https://twitter.com/user/status/123456789
```

**Expected behavior:**
- Reads tweet text from embed
- Analyzes any images in the embed
- Provides response based on tweet content

---

### Test 4: Tenor GIF (via /gif command or link)
**What to do:** Use Discord's GIF picker or share Tenor link
```
@Miku what's happening here?
[shares Tenor GIF via Discord]
```

**Expected behavior:**
- Extracts GIF URL from Tenor embed
- Converts GIF to MP4
- Extracts 6 frames
- Analyzes the animation
- Responds with description of what's in the GIF

**Log output:**
```
🎭 Processing Tenor GIF from embed
🔄 Converting Tenor GIF to MP4 for processing...
✅ Tenor GIF converted to MP4
📹 Extracted 6 frames from Tenor GIF
💬 Server Tenor GIF response to [user]
```

---

### Test 5: Image Link (direct)
**What to do:** Share a direct image link that Discord embeds
```
@Miku what is this?
https://example.com/image.jpg
```

**Expected behavior:**
- Detects image embed
- Downloads and analyzes image
- Provides description

---

### Test 6: Article WITHOUT Image
**What to do:** Share an article that has only text preview
```
@Miku summarize this
https://example.com/text-article
```

**Expected behavior:**
- Reads title, description, and any fields
- Responds based on text content alone

---

## Real Test Example

Based on your screenshot, you shared:
**URL:** https://www.vesti.bg/bulgaria/sreshu-200-000-leva-puskat-pod-garancija-kmeta-na-varna-blagomir-kocev-snimki-6245207

**What Miku saw:**
- **Embed Type:** article/rich
- **Title:** "Срещу 200 000 лева пускат под гаранция к..."
- **Description:** "Окръжният съд във Варна определи парична гаранция от 200 000 лв. на кмета на Варна Благомир Коцев..."
- **Image:** Photo of the mayor
- **Source:** Vesti.bg

**What Miku did:**
1. Extracted Bulgarian text from embed
2. Analyzed the photo of the person
3. Combined context: article about mayor + image analysis
4. Generated response with full understanding

---

## Monitoring in Real-Time

To watch Miku process embeds live:
```bash
docker logs -f ollama-discord-bot-1 | grep -E "Processing|embed|Embedded"
```

---

## Edge Cases Handled

### Multiple Embeds in One Message
- Processes the first compatible embed
- Returns after processing (prevents spam)

### Embed with Both Text and Media
- Extracts all text content
- Processes all images and videos
- Combines everything into comprehensive context

### Empty or Invalid Embeds
- Checks `has_content` flag
- Skips if no extractable content
- Continues to next embed or normal processing

### Large Embed Content
- Truncates text to 500 characters
- Processes up to 6 video frames
- Keeps context manageable for LLM

---

## Comparison: Before vs After

### Before
```
User: @Miku what about this? [shares article]
Miku: *sees only "what about this?"*
Miku: "About what? I don't see anything specific..."
```

### After
```
User: @Miku what about this? [shares article]
Miku: *sees article title, description, and image*
Miku: *provides informed commentary about the actual article*
```

This matches exactly what you see in your screenshot! The Bulgarian news article about the mayor was properly read and understood by Miku.