import anthropic, base64, json
from pathlib import Path
client = anthropic.Anthropic()

def extract_invoice_data(image_path: str) -> dict:
    """Extract structured data from an invoice image."""
    data = base64.b64encode(Path(image_path).read_bytes()).decode()
    mime = "image/png" if image_path.endswith(".png") else "image/jpeg"

    resp = client.messages.create(
        model="claude-sonnet-4-6", max_tokens=500,
        messages=[{"role":"user", "content":[
            {"type":"image", "source":{"type":"base64", "media_type":mime, "data":data}},
            {"type":"text", "text": """Extract the following from this invoice as JSON:
{
  "vendor_name": "",
  "invoice_number": "",
  "date": "YYYY-MM-DD",
  "line_items": [{"description": "", "quantity": 0, "unit_price": 0.00, "total": 0.00}],
  "subtotal": 0.00,
  "tax": 0.00,
  "total": 0.00,
  "payment_terms": ""
}
Return ONLY valid JSON. If a field is not visible, use null."""}
        ]}]
    )
    return json.loads(resp.content[0].text)

You:
[Attached: screenshot of ThreadCo's Shopify analytics dashboard]

Analyse this dashboard and answer:
1. What is the trend in daily orders over the past 30 days?
2. Which product category has the highest revenue?
3. What is the conversion rate shown, and how does it compare to
   e-commerce benchmarks (typically 2-3%)?
4. Are there any anomalies or concerning patterns?

Present your findings as a brief executive summary for Maya.

You:
[Attached: screenshot of ThreadCo's product page on mobile]

Review this mobile product page for:
1. Accessibility: Are there contrast issues? Is text readable?
   Are interactive elements large enough for touch (44x44px minimum)?
2. UX: Is the call-to-action ("Add to Cart") prominent?
   Is the price clearly visible? Is the size selector intuitive?
3. Responsiveness: Does the layout use the mobile viewport well?
   Are there any elements that look broken or misaligned?
4. Brand consistency: Does it match ThreadCo's brand (clean,
   sustainable, no-nonsense)?

For each issue, suggest a specific fix.

# shopmate/vision/photo_description.py
# Maya uploads a product photo -> ShopMate writes the description
import anthropic, base64
from pathlib import Path
client = anthropic.Anthropic()

SYSTEM = """You are a ThreadCo copywriter. When given a product photo:
1. Identify the garment type, colours, print/design, and apparent material
2. Write a 2-sentence product description in ThreadCo's voice:
   - Friendly, direct, never corporate
   - Always mention sustainability
   - No exclamation marks
   - Forbidden words: vibrant, perfect, stylish, must-have"""

def describe_from_photo(image_path: str, extra_info: str = "") -> str:
    """Generate a product description directly from a product photo."""
    data = base64.b64encode(Path(image_path).read_bytes()).decode()
    mime = "image/png" if image_path.endswith(".png") else "image/jpeg"
    resp = client.messages.create(
        model="claude-sonnet-4-6", max_tokens=150,
        system=SYSTEM,
        messages=[{"role":"user", "content":[
            {"type":"image","source":{"type":"base64","media_type":mime,"data":data}},
            {"type":"text", "text": f"Write the ThreadCo product description.{' Extra info: ' + extra_info if extra_info else ''}"}
        ]}]
    )
    return resp.content[0].text

def batch_describe_photos(photo_dir: str) -> list[dict]:
    """Process a folder of product photos in one go."""
    results = []
    for path in Path(photo_dir).glob("*.jpg"):
        desc = describe_from_photo(str(path))
        results.append({"file": path.name, "description": desc})
        print(f"{path.name}: {desc[:80]}...")
    return results

# Usage: Maya drags her product photos into a folder, runs one command
# results = batch_describe_photos("new_season_photos/")

You:
[Image 1: ThreadCo's product page — current version]
[Image 2: ThreadCo's product page — new design mockup]

Compare these two versions of our product page:
1. What changed between the current version and the new design?
2. Which version has better visual hierarchy for the price and CTA?
3. Are there any accessibility regressions in the new design?
4. Rate both designs 1-10 for mobile usability.

Be specific — reference elements by position and describe what you see.