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Create app.py
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app.py
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import time, re, socket
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from contextlib import closing
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import httpx
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import gradio as gr
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from bs4 import BeautifulSoup
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import tldextract
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TIMEOUT = 8.0
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UA = "VAX-FakeFastLite/1.0 (+https://vibeaxis.com)"
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EDGE_HINT_HEADERS = [
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"cf-cache-status","x-cache","x-cache-hits","x-ser","server-timing",
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"x-worker-cache","x-akamai-transformed","x-cdn","x-amz-cf-pop","via"
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]
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CACHE_HEADERS = [
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"cache-control","age","etag","last-modified","vary","expires","pragma","surrogate-control"
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]
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def first_byte_timing(url: str) -> float | None:
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"""
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Approximate TTFB by timing a streamed GET until first chunk.
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This is not a lab-grade metric but it’s consistent enough for “fake-fast” sniffing.
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"""
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try:
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with httpx.Client(http2=False, timeout=TIMEOUT, headers={"User-Agent": UA}, follow_redirects=True) as c:
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start = time.perf_counter()
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with c.stream("GET", url) as r:
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for chunk in r.iter_bytes():
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if chunk:
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return (time.perf_counter() - start) * 1000.0
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except Exception:
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return None
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def fetch(url: str):
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if not re.match(r'^https?://', url, flags=re.I):
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url = "https://" + url
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errors = []
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try:
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with httpx.Client(http2=False, timeout=TIMEOUT, headers={"User-Agent": UA}, follow_redirects=True) as c:
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head = c.head(url)
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# fallback if HEAD blocked
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if head.status_code >= 400 or int(head.headers.get("content-length", "0")) == 0:
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head = c.get(url)
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html = c.get(url).text
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except Exception as e:
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return {"error": f"Request failed: {e}"}
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# Parse DOM counts
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scripts = re.findall(r"<script\b", html, flags=re.I)
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inlines = re.findall(r"<script\b[^>]*>(?!\s*</script>)", html, flags=re.I)
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css_links = re.findall(r"<link\b[^>]*rel=[\"']stylesheet[\"']", html, flags=re.I)
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soup = BeautifulSoup(html, "lxml")
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title = (soup.title.string.strip() if soup.title and soup.title.string else "")
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# Edge vs origin hints
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edge = {}
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for h in EDGE_HINT_HEADERS:
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if h in head.headers:
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edge[h] = head.headers.get(h)
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cache = {}
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for h in CACHE_HEADERS:
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if h in head.headers:
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cache[h] = head.headers.get(h)
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# CDN-ish tell via "via" or known server banners
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via = head.headers.get("via", "") + " " + head.headers.get("server", "")
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cdnish = any(k in via.lower() for k in ["cloudflare","akamai","fastly","cache","cdn","cloudfront","varnish"])
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# TTFB approx
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ttfb_ms = first_byte_timing(url)
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# Heuristics
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script_count = len(scripts)
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inline_count = len(inlines)
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css_count = len(css_links)
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cache_control = head.headers.get("cache-control","").lower()
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max_age = None
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if "max-age=" in cache_control:
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try:
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max_age = int(re.search(r"max-age=(\d+)", cache_control).group(1))
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except Exception:
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max_age = None
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age_hdr = head.headers.get("age")
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try:
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age_val = int(age_hdr) if age_hdr is not None else None
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except:
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age_val = None
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cf_status = head.headers.get("cf-cache-status","").lower()
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# Verdict: “fake-fast-ish” if CDN says HIT but TTFB still chunky and DOM heavy
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flags = []
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if ttfb_ms is not None and ttfb_ms > 800:
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flags.append(f"High TTFB ({ttfb_ms:.0f} ms)")
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if cdnish and ("hit" in cf_status or (age_val and age_val > 0)):
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flags.append("Edge cache present")
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if script_count > 20:
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flags.append(f"Script buffet ({script_count})")
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if inline_count > 3:
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flags.append(f"Inline scripts ({inline_count})")
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if css_count > 6:
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flags.append(f"Many stylesheets ({css_count})")
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# “Fake-fast smell” score (0–100)
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score = 0
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if ttfb_ms is None:
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score += 15
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else:
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if ttfb_ms > 1500: score += 45
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elif ttfb_ms > 800: score += 30
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elif ttfb_ms > 400: score += 15
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if cdnish: score += 10
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if "hit" in cf_status: score += 10
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if script_count > 20: score += 15
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if inline_count > 3: score += 10
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if css_count > 6: score += 10
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if max_age is not None and max_age < 60: score += 10
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verdict = (
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"Likely Fake-Fast (edge cache masking slow origin)"
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if score >= 60 else
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"Borderline (mixed signals)"
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if score >= 35 else
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"Looks Clean (at a glance)"
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)
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return {
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"url": url,
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"title": title,
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"ttfb_ms": None if ttfb_ms is None else round(ttfb_ms, 1),
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"headers_edge": edge,
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"headers_cache": cache,
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"counts": {
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"scripts_total": script_count,
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"scripts_inline": inline_count,
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"stylesheets": css_count
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},
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"flags": flags,
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"score_0_100": score,
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"verdict": verdict,
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}
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def ui_analyze(url):
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data = fetch(url)
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if "error" in data:
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return data["error"], None, None, None, None
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| 153 |
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summary = f"**{data['verdict']}** — score {data['score_0_100']}/100"
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meta = f"**TTFB:** {data['ttfb_ms']} ms • **Scripts:** {data['counts']['scripts_total']} (inline {data['counts']['scripts_inline']}) • **CSS:** {data['counts']['stylesheets']}"
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edge = "\n".join([f"- **{k}:** {v}" for k,v in (data['headers_edge'] or {}).items()])
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cache = "\n".join([f"- **{k}:** {v}" for k,v in (data['headers_cache'] or {}).items()])
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| 158 |
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flags = ", ".join(data["flags"]) if data["flags"] else "—"
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| 159 |
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md_summary = f"{summary}\n\n{meta}\n\n**Signals:** {flags}"
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md_edge = edge or "—"
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md_cache = cache or "—"
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return md_summary, md_edge, md_cache, data["url"], data.get("title","")
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="mint", secondary_hue="sky")) as demo:
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gr.Markdown("# Fake-Fast Lite\n**Sniffs edge-cache lipstick on a slow origin.** Not a lab test, just fast receipts.")
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| 168 |
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with gr.Row():
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url = gr.Textbox(label="URL", placeholder="https://example.com")
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go = gr.Button("Analyze", variant="primary")
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| 171 |
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out_summary = gr.Markdown()
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| 172 |
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with gr.Row():
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out_edge = gr.Markdown(label="Edge / CDN Hints")
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out_cache = gr.Markdown(label="Cache Headers")
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with gr.Row():
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out_url = gr.Textbox(label="Final URL", interactive=False)
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out_title = gr.Textbox(label="Page Title", interactive=False)
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| 178 |
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go.click(fn=ui_analyze, inputs=url, outputs=[out_summary, out_edge, out_cache, out_url, out_title])
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if __name__ == "__main__":
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demo.launch()
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