# Re-run: Build the roundtrip HTML by merging user’s HTML with all `sameAs` URLs from the uploaded schema file. import re, json, textwrap from pathlib import Path # —- Inputs —- user_html = “””

AI Resources & Discovery

Updated on: October 27, 2025

This page lists canonical machine-readable resources for Gamer vs Gamer.

• AIContentMap.v2.json – canonical brand facts & links
• brand.json – brand identity
• ai.txt – AI crawling policy
• WordPress JSON Feed – latest posts

We stage a full Game Truck Rental production and experience, in which the guest of honor is the star, the VIP – and the reason for the season.

Business Info (NAP)

Gamer vs Gamer — Game Truck Atlanta
2700 Braselton Hwy Ste 10-254
Dacula, GA 30019 (Metro Atlanta)
+1 (678) 206-9810
https://www.birthdayparty2you.com/

Service Areas

Counties: Fulton, Gwinnett, Cobb, DeKalb

Priority Cities: Atlanta, Dacula, Lawrenceville, Marietta, Decatur, Alpharetta, Suwanee, Buford, Duluth, Brookhaven, Sandy Springs, Johns Creek

Official Social Profiles

• Google Business Profile
• YouTube — Channel
• Facebook
• Instagram
• LinkedIn
• Pinterest
• Reddit
• X / Twitter
• Tumblr
• Snapchat

Videos

• Gamer vs Gamer / Game Truck Atlanta — YouTube Channel – All videos
• The Tear-Jerker Family Video Message Highlights – Playlist
• The Gamer vs Gamer Experience Highlights – Playlist
• Most Popular Video – Highlights & excitement
• Customer Video Reviews – Why we’re Atlanta’s best game truck

Articles

• Articles Hub – all posts by Corey Hall
• Best Atlanta Game Truck Near Me — By Counties
• Game Truck Party Packages and Prices
• Real Game Truck Reviews from Happy Clients

“”” schema_path = Path(“/mnt/data/GAMER-vs-GAMER-FULL-SCHEMA-v4.9.23i-Roundtrip-14ReviewRestored-FIXED.txt”) raw = schema_path.read_text(encoding=”utf-8″, errors=”ignore”) # Extract JSON-LD and collect sameAs URLs def extract_json(text): m = re.search(r’‘, text, re.DOTALL | re.IGNORECASE) if m: return m.group(1).strip() return re.sub(r’‘, ”, text, flags=re.DOTALL).strip() json_text = extract_json(raw) sameas_urls = set() def collect_sameas(obj): if isinstance(obj, dict): for k, v in obj.items(): if k.lower() == “sameas”: if isinstance(v, list): for item in v: if isinstance(item, str): sameas_urls.add(item.strip()) elif isinstance(v, str): sameas_urls.add(v.strip()) else: collect_sameas(v) elif isinstance(obj, list): for item in obj: collect_sameas(item) try: parsed = json.loads(json_text) collect_sameas(parsed) except Exception: for m in re.finditer(r'”sameAs”\s*:\s*(\[[^\]]*\]|”[^”]*”)’, json_text or “”, re.DOTALL | re.IGNORECASE): block = m.group(1) for u in re.findall(r’https?://[^\s”,\]]+’, block): sameas_urls.add(u.strip()) # Gather existing UL links existing_links = re.findall(r’

‘, user_html) def norm(u): return u.rstrip(‘/’) union = [] seen = set() for u in existing_links: if norm(u) not in seen: union.append(u) seen.add(norm(u)) for u in sorted(sameas_urls): if norm(u) not in seen: union.append(u) seen.add(norm(u)) # Rebuild the UL with union def label_for(u): from urllib.parse import urlparse p = urlparse(u) dom = p.netloc.replace(“www.”, “”) if “maps.app.goo.gl” in dom: return “Google Business Profile” if “youtube.com” in dom or “youtu.be” in dom: return “YouTube” if “facebook.com” in dom: return “Facebook” if “instagram.com” in dom: return “Instagram” if “linkedin.com” in dom: return “LinkedIn” if “pinterest.com” in dom: return “Pinterest” if “reddit.com” in dom: return “Reddit” if “x.com” in dom or “twitter.com” in dom: return “X / Twitter” if “tumblr.com” in dom: return “Tumblr” if “snapchat.com” in dom: return “Snapchat” return dom ul_html = “

\n” + “\n”.join([f’
• {label_for(u)}
‘ for u in union]) + “\n

” updated_html = re.sub( r'(

Official Social Profiles

\s*)

.*?

‘, r’\1’ + ul_html, user_html, flags=re.DOTALL ) # Convert relative head links to canonical absolute updated_html = updated_html.replace(‘href=”/ai.txt”‘, ‘href=”https://www.birthdayparty2you.com/ai.txt”‘) updated_html = updated_html.replace(‘href=”/brand.json”‘, ‘href=”https://www.birthdayparty2you.com/brand.json”‘) updated_html = updated_html.replace(‘href=”/AIContentMap.v2.json”‘, ‘href=”https://www.birthdayparty2you.com/AIContentMap.v2.json”‘) # Save output out_path = Path(“/mnt/data/AI-Resources-and-Discovery-Roundtrip.html”) out_path.write_text(updated_html, encoding=”utf-8″) len_union = len(union) len_sameas = len(sameas_urls) from caas_jupyter_tools import display_dataframe_to_user import pandas as pd df = pd.DataFrame({“links”: union}) display_dataframe_to_user(“Official Social Profiles (Union of HTML + schema sameAs)”, df) (len_sameas, len_union, out_path.as_posix())