modularize

parser.py

@@ -0,0 +1,47 @@
+from bs4 import BeautifulSoup
+import csv
+
+from config import HTML_FILENAME, CSV_FILENAME, exclude_names
+from utils import clean_artist_name, force_star_flag
+
+def generate_csv():
+    print("📝 Generating CSV...")
+    with open(HTML_FILENAME, "r", encoding="utf-8") as f:
+        soup = BeautifulSoup(f, "html.parser")
+
+    rows = soup.select("table.waffle tbody tr")[3:]
+
+    data = []
+    starring = True
+
+    for row in rows:
+        cells = row.find_all("td")
+        if len(cells) < 4:
+            continue
+
+        link_tag = cells[0].find("a")
+        artist_name_raw = link_tag.get_text(strip=True) if link_tag else cells[0].get_text(strip=True)
+        artist_url = link_tag["href"] if link_tag else ""
+        if not artist_url:
+            continue
+
+        if "AI Models" in artist_name_raw:
+            starring = False
+
+        artist_name_clean = clean_artist_name(artist_name_raw)
+        if artist_name_clean in exclude_names or "🚩" in artist_name_raw:
+            continue
+
+        best = force_star_flag(starring)
+        credit = cells[1].get_text(strip=True)
+        updated = cells[2].get_text(strip=True)
+        links_work = cells[3].get_text(strip=True)
+
+        data.append([artist_name_clean, artist_url, credit, links_work, updated, best])
+
+    with open(CSV_FILENAME, "w", newline='', encoding="utf-8") as csvfile:
+        writer = csv.writer(csvfile, quoting=csv.QUOTE_ALL)
+        writer.writerow(["Artist Name", "URL", "Credit", "Links Work", "Updated", "Best"])
+        writer.writerows(data)
+
+    print(f"✅ CSV saved as {CSV_FILENAME}")