Files
pokemon-disco/disco.py
pi-bot-01 c0ec0f947b Match product.png layout: image, name, stock, barcode, SKU/UPC
- Switched from pandoc markdown to direct LaTeX for precise layout control
- Each product gets its own page matching the mockup:
  • Large bordered product image (centered)
  • Product name (bold, left)
  • Stock + price line
  • Bordered UPC-A barcode (centered)
  • SKU and UPC text (small, left)
- Fixed WebP→PNG image conversion (DG CDN serves WebP as .jpg)
- Compile directly with pdflatex (pandoc strips images from raw .tex)
- Output: 5.6MB PDF, 7 pages, 6 products with real images and barcodes
2026-03-21 22:59:29 -07:00

493 lines
17 KiB
Python

#!/usr/bin/env python3
"""
Pokemon Discovery (disco.py)
Scrapes Pokemon TCG pack & tin products from Dollar General and generates a PDF catalog.
Usage:
python disco.py # Full run: scrape + generate PDF
python disco.py --scrape-only # Just scrape, output JSON
python disco.py --pdf-only FILE.json # Just generate PDF from existing JSON
"""
import json
import os
import re
import subprocess
import sys
import time
import requests
from datetime import datetime
from pathlib import Path
from urllib.parse import urljoin, quote
import barcode
from barcode.writer import ImageWriter
from bs4 import BeautifulSoup
from PIL import Image, ImageDraw, ImageFont
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
HAR_FILE = "www.dollargeneral.com_Archive [26-03-21 15-14-28].har"
BASE_URL = "https://www.dollargeneral.com"
OUTPUT_DIR = Path("catalog_output")
IMAGES_DIR = OUTPUT_DIR / "images"
BARCODES_DIR = OUTPUT_DIR / "barcodes"
HEADERS = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:148.0) Gecko/20100101 Firefox/148.0",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9",
}
# Keywords that identify card packs and tins (case-insensitive)
CARD_TIN_KEYWORDS = ["pack", "tin", "booster", "card game", "tcg"]
# ---------------------------------------------------------------------------
# Step 1 — Product Discovery (from HAR file API responses)
# ---------------------------------------------------------------------------
def extract_products_from_har(har_path: str) -> list[dict]:
"""Parse HAR file and extract all Pokemon products from API responses."""
print(f"📦 Reading HAR file: {har_path}")
with open(har_path, "r", encoding="utf-8") as f:
har = json.load(f)
api_url = "https://dggo.dollargeneral.com/omni/api/v2/category/search/provider"
unique: dict[str, dict] = {}
for entry in har["log"]["entries"]:
req = entry["request"]
resp = entry["response"]
if req["url"] != api_url or req["method"] != "POST":
continue
text = resp.get("content", {}).get("text", "")
if not text:
continue
try:
data = json.loads(text)
except json.JSONDecodeError:
continue
for item in data.get("ItemList", {}).get("Items", []):
upc = str(item.get("UPC", ""))
if upc and upc not in unique:
unique[upc] = item
print(f" Found {len(unique)} unique products in HAR data")
return list(unique.values())
def rootsv_to_sku(rootsv: str) -> str:
"""Convert rootSV like '0419363_1' to SKU like '41936301'."""
if not rootsv:
return ""
parts = rootsv.split("_")
base = parts[0].lstrip("0")
suffix = parts[1] if len(parts) > 1 else ""
return base + suffix
def build_product_url(upc: str) -> str:
"""Construct a Dollar General product page URL from a UPC."""
return f"{BASE_URL}/p/pokemon-product/{upc}"
def filter_card_and_tin_products(raw_items: list[dict]) -> list[dict]:
"""Keep only products whose description contains card/pack/tin keywords."""
filtered = []
for item in raw_items:
desc = item.get("Description", "").lower()
if any(kw in desc for kw in CARD_TIN_KEYWORDS):
filtered.append(item)
return filtered
def normalize_product(item: dict) -> dict:
"""Convert raw API item into a clean product dict."""
upc = str(item.get("UPC", ""))
rootsv = item.get("rootSV", "")
sku = rootsv_to_sku(rootsv)
qty = item.get("AvailableQty", 0)
return {
"title": item.get("Description", "Unknown Product"),
"sku": sku,
"upc": upc,
"price": f"${item.get('Price', 0):.2f}",
"stock": f"In Stock ({qty})" if qty and qty > 0 else "Out of Stock",
"quantity": qty,
"image_url": item.get("Image", ""),
"rating": item.get("AverageRating", 0),
"reviews": item.get("RatingReviewCount", 0),
"url": build_product_url(upc),
}
# ---------------------------------------------------------------------------
# Step 2 — Enrich from product pages (get real URL slug, extra details)
# ---------------------------------------------------------------------------
def enrich_from_product_page(product: dict) -> dict:
"""Visit the actual product page to get the real URL and any missing data."""
upc = product["upc"]
sku = product["sku"]
# Try to get the real product page
# DG product pages can be accessed by UPC at search
search_url = f"{BASE_URL}/search?q={upc}"
try:
resp = requests.get(search_url, headers=HEADERS, timeout=15)
if resp.status_code == 200:
soup = BeautifulSoup(resp.text, "html.parser")
# Look for the canonical product link
links = soup.select(f'a[href*="/p/"][href*="{upc}"]')
if links:
href = links[0].get("href", "")
product["url"] = urljoin(BASE_URL, href)
except Exception:
pass
# Also try visiting the product page directly by known pattern
# The image URL contains the DG item number: dg-XXXXXXXX-1
img_url = product.get("image_url", "")
match = re.search(r"dg-(\d+)-", img_url)
if match:
dg_item = match.group(1)
# This is the item number used in the SKU
if not product.get("sku"):
product["sku"] = dg_item
return product
# ---------------------------------------------------------------------------
# Step 3 — Download images & generate barcodes
# ---------------------------------------------------------------------------
def download_image(url: str, dest: Path) -> Path | None:
"""Download image from URL, convert to PNG for LaTeX compatibility."""
if not url:
return None
try:
resp = requests.get(url, headers=HEADERS, timeout=15)
resp.raise_for_status()
# Convert to PNG regardless of source format (handles WebP, etc.)
from io import BytesIO
img = Image.open(BytesIO(resp.content)).convert("RGB")
png_dest = dest.with_suffix(".png")
img.save(png_dest, "PNG")
return png_dest
except Exception as e:
print(f" ⚠ Image download failed: {e}")
return None
def make_placeholder(dest: Path, text: str = "No Image") -> Path:
"""Create a simple placeholder image."""
img = Image.new("RGB", (300, 300), "#e0e0e0")
draw = ImageDraw.Draw(img)
try:
font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 20)
except Exception:
font = ImageFont.load_default()
bbox = draw.textbbox((0, 0), text, font=font)
tw, th = bbox[2] - bbox[0], bbox[3] - bbox[1]
draw.text(((300 - tw) / 2, (300 - th) / 2), text, fill="#888", font=font)
img.save(dest)
return dest
def generate_barcode(sku: str, dest_dir: Path) -> Path | None:
"""Generate a UPC-A barcode PNG from a SKU. Returns path to the .png file."""
digits = re.sub(r"\D", "", sku)
if not digits:
return None
# UPC-A needs exactly 11 digits (12th is check digit, auto-calculated)
digits = digits[-11:].zfill(11)
try:
upc_cls = barcode.get_barcode_class("upca")
bc = upc_cls(digits, writer=ImageWriter())
# barcode lib appends .png automatically
out = dest_dir / f"barcode_{sku}"
saved = bc.save(
str(out),
options={
"module_width": 0.3,
"module_height": 15.0,
"quiet_zone": 6.5,
"font_size": 10,
"text_distance": 5.0,
},
)
return Path(saved)
except Exception as e:
print(f" ⚠ Barcode generation failed for {sku}: {e}")
return None
# ---------------------------------------------------------------------------
# Step 4 — Generate PDF via pandoc
# ---------------------------------------------------------------------------
def generate_catalog_pdf(products: list[dict]) -> Path | None:
"""Build a LaTeX file and convert to PDF with pandoc.
Layout per page (matching product.png mockup):
┌─────────────────────┐
│ │
│ Product Image │ ← large, centered, bordered
│ │
└─────────────────────┘
Name ← product title, bold
Stk ← stock / price info
┌─────────────────────┐
│ UPC-A Barcode │ ← centered, bordered
└─────────────────────┘
SKU: XXXXXXX ← small text
UPC: XXXXXXXXXXXX ← small text
"""
timestamp_label = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
timestamp_file = datetime.now().strftime("%Y%m%d_%H%M%S")
# Build LaTeX document directly for precise layout control
latex_lines = [
r"\documentclass[11pt,letterpaper]{article}",
r"\usepackage[margin=0.75in]{geometry}",
r"\usepackage{graphicx}",
r"\usepackage{fancybox}",
r"\usepackage{xcolor}",
r"\usepackage{parskip}",
r"\usepackage[utf8]{inputenc}",
r"\usepackage[T1]{fontenc}",
r"\usepackage{lmodern}",
r"\usepackage{hyperref}",
r"\pagestyle{empty}",
r"\begin{document}",
"",
# Title page
r"\begin{center}",
r"{\Huge\bfseries Pokemon TCG Product Catalog}\\[0.5cm]",
r"{\Large Dollar General}\\[0.3cm]",
r"{\large Generated: " + timestamp_label + r"}\\[0.2cm]",
r"{\large " + str(len(products)) + r" Cards \& Tins}",
r"\end{center}",
r"\newpage",
"",
]
for i, prod in enumerate(products, 1):
title = prod["title"]
sku = prod["sku"]
upc = prod["upc"]
price = prod["price"]
stock = prod["stock"]
# Download product image
img_dest = IMAGES_DIR / f"product_{i}_{sku}.jpg"
img_path = download_image(prod.get("image_url"), img_dest)
if not img_path:
img_path = make_placeholder(
IMAGES_DIR / f"product_{i}_{sku}_placeholder.png", title[:30]
)
# Generate barcode
bc_path = generate_barcode(sku, BARCODES_DIR)
# Escape LaTeX special characters in text fields
safe_title = (
title.replace("&", r"\&")
.replace("%", r"\%")
.replace("$", r"\$")
.replace("#", r"\#")
.replace("_", r"\_")
.replace("é", r"\'e")
)
safe_stock = stock.replace("&", r"\&")
safe_price = price.replace("$", r"\$")
# Absolute paths for LaTeX
abs_img = str(img_path.resolve())
abs_bc = str(bc_path.resolve()) if bc_path else None
latex_lines += [
r"\begin{center}",
# Product image — large, centered, with border
r"\fbox{\includegraphics[width=0.7\textwidth,height=0.45\textheight,keepaspectratio]{"
+ abs_img
+ r"}}",
r"\end{center}",
r"\vspace{0.4cm}",
"",
# Name — bold, large
r"{\Large\bfseries " + safe_title + r"}",
"",
r"\vspace{0.15cm}",
"",
# Stock and price
r"{\large " + safe_stock + r" \hfill " + safe_price + r"}",
"",
r"\vspace{0.5cm}",
"",
]
# Barcode — centered, bordered
if abs_bc:
latex_lines += [
r"\begin{center}",
r"\fbox{\includegraphics[width=0.55\textwidth]{"
+ abs_bc
+ r"}}",
r"\end{center}",
r"\vspace{0.15cm}",
"",
]
# SKU and UPC — small text
latex_lines += [
r"{\small SKU: \texttt{" + sku + r"}}\\",
r"{\small UPC: \texttt{" + upc + r"}}",
"",
]
# Page break between products (not after last)
if i < len(products):
latex_lines.append(r"\newpage")
latex_lines.append("")
print(f" ✅ [{i}/{len(products)}] {title}")
latex_lines.append(r"\end{document}")
# Write .tex file
tex_file = OUTPUT_DIR / f"pokemon_catalog_{timestamp_file}.tex"
tex_file.write_text("\n".join(latex_lines), encoding="utf-8")
print(f"\n📝 LaTeX source: {tex_file}")
# Compile to PDF with pdflatex directly (pandoc strips images from raw .tex)
pdf_file = OUTPUT_DIR / f"pokemon_catalog_{timestamp_file}.pdf"
for engine in ["pdflatex", "xelatex"]:
try:
result = subprocess.run(
[engine, "-interaction=nonstopmode",
f"-output-directory={OUTPUT_DIR}", str(tex_file)],
capture_output=True, text=True, timeout=120,
)
if pdf_file.exists() and pdf_file.stat().st_size > 1000:
# Clean up LaTeX temp files
for ext in [".aux", ".log", ".out"]:
tmp = pdf_file.with_suffix(ext)
if tmp.exists():
tmp.unlink()
print(
f"📄 PDF generated: {pdf_file} ({pdf_file.stat().st_size // 1024} KB)"
)
return pdf_file
except FileNotFoundError:
continue
except Exception:
continue
print(f"⚠ PDF generation failed. LaTeX source available at: {tex_file}")
return None
# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------
def main():
args = sys.argv[1:]
# Handle --pdf-only mode
if "--pdf-only" in args:
idx = args.index("--pdf-only")
json_file = args[idx + 1] if idx + 1 < len(args) else None
if not json_file or not Path(json_file).exists():
print(f"Usage: {sys.argv[0]} --pdf-only <products.json>")
sys.exit(1)
products = json.loads(Path(json_file).read_text())
for d in [OUTPUT_DIR, IMAGES_DIR, BARCODES_DIR]:
d.mkdir(parents=True, exist_ok=True)
print(f"\n🖨️ Generating PDF from {json_file} ({len(products)} products)...")
generate_catalog_pdf(products)
return
scrape_only = "--scrape-only" in args
# --- Banner ---
timestamp_file = datetime.now().strftime("%Y%m%d_%H%M%S")
print("=" * 60)
print(" 🔍 Pokemon Discovery (pokemon-disco)")
print(" Dollar General — Pokemon TCG Cards & Tins")
print(f" {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print("=" * 60)
# --- Step 1: Extract from HAR ---
if not Path(HAR_FILE).exists():
print(f"\n❌ HAR file not found: {HAR_FILE}")
print(" Capture a HAR file from the Pokemon page in your browser")
print(" and place it in the project directory.")
sys.exit(1)
raw_items = extract_products_from_har(HAR_FILE)
# --- Step 2: Filter for Cards & Tins ---
print(f"\n🎯 Filtering for card packs and tins...")
card_tin_items = filter_card_and_tin_products(raw_items)
print(f" {len(card_tin_items)} of {len(raw_items)} products match (pack/tin/booster/tcg)")
if not card_tin_items:
print("❌ No card or tin products found.")
sys.exit(1)
# Show what was filtered out
excluded = [i for i in raw_items if i not in card_tin_items]
if excluded:
print(f"\n Excluded {len(excluded)} non-card/tin products:")
for item in excluded:
print(f"{item.get('Description', '?')}")
# --- Step 3: Normalize ---
print(f"\n📋 Processing {len(card_tin_items)} products...")
products = [normalize_product(item) for item in card_tin_items]
# Print summary table
print()
print(f" {'#':<3} {'Title':<55} {'SKU':<12} {'Price':<8} {'Stock'}")
print(f" {''*3} {''*55} {''*12} {''*8} {''*15}")
for i, p in enumerate(products, 1):
title = p['title'][:53]
print(f" {i:<3} {title:<55} {p['sku']:<12} {p['price']:<8} {p['stock']}")
# --- Step 4: Save JSON ---
json_file = f"pokemon_tcg_products_{timestamp_file}.json"
Path(json_file).write_text(json.dumps(products, indent=2, ensure_ascii=False))
print(f"\n💾 Product data: {json_file}")
if scrape_only:
print("\n✅ Scrape complete (--scrape-only). Run with --pdf-only to generate catalog.")
return
# --- Step 5: Generate PDF ---
for d in [OUTPUT_DIR, IMAGES_DIR, BARCODES_DIR]:
d.mkdir(parents=True, exist_ok=True)
print(f"\n🖨️ Generating PDF catalog...")
pdf_path = generate_catalog_pdf(products)
# --- Done ---
print("\n" + "=" * 60)
if pdf_path:
print(f" ✅ COMPLETE!")
print(f" 📄 PDF Catalog: {pdf_path}")
print(f" 💾 Product JSON: {json_file}")
print(f" 🏷️ Barcodes: {BARCODES_DIR}/")
print(f" 🖼️ Images: {IMAGES_DIR}/")
else:
print(f" ⚠ PDF generation failed — markdown file available in {OUTPUT_DIR}/")
print(f" 💾 Product JSON: {json_file}")
print("=" * 60)
if __name__ == "__main__":
main()