Download tools/web_tools.py from Haster1137/AI_Forum: direct link, hf CLI and curl.
- Browser
- Download file 5.66 kB
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https://huggingface.co/datasets/Haster1137/AI_Forum/resolve/main/tools/web_tools.py
- Command line
-
hf download hf://datasets/Haster1137/AI_Forum/tools/web_tools.py
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curl -L -o web_tools.py https://huggingface.co/datasets/Haster1137/AI_Forum/resolve/main/tools/web_tools.py
5.66 kB
| """Internet access for the local model (stdlib only). | |
| CLI: | |
| python web_tools.py search "query" [-n 8] | |
| python web_tools.py fetch URL [--max 20000] | |
| python web_tools.py hf-note REPO PATH_IN_REPO "text" [--type model|dataset|space] [--append] | |
| Import: from web_tools import search, fetch, hf_note | |
| search -> needs SearXNG running (searxng\\start_searxng.bat) on 127.0.0.1:8888 | |
| fetch -> direct HTTP GET, returns readable text | |
| hf_note -> writes/appends a note file in a Hugging Face repo; token from env | |
| HF_TOKEN (or HUGGINGFACE_HUB_TOKEN, or file tools\\hf_token.txt) | |
| """ | |
| import argparse, base64, gzip, json, os, re, sys, urllib.error, urllib.parse, urllib.request | |
| from html.parser import HTMLParser | |
| HERE = os.path.dirname(os.path.abspath(__file__)) | |
| SEARX = os.environ.get("SEARXNG_URL", "http://127.0.0.1:8888") | |
| UA = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) LocalAgent/1.0" | |
| def _get(url, headers=None, timeout=30, data=None, method=None): | |
| h = {"User-Agent": UA, "Accept-Encoding": "gzip"} | |
| h.update(headers or {}) | |
| req = urllib.request.Request(url, data=data, headers=h, method=method) | |
| with urllib.request.urlopen(req, timeout=timeout) as r: | |
| body = r.read() | |
| if r.headers.get("Content-Encoding") == "gzip": | |
| body = gzip.decompress(body) | |
| return r.headers, body | |
| def search(query, n=8, engines=None): | |
| """Return [{title,url,content,engines}] from the local SearXNG.""" | |
| p = {"q": query, "format": "json"} | |
| if engines: | |
| p["engines"] = engines | |
| try: | |
| _, b = _get(SEARX + "/search?" + urllib.parse.urlencode(p), timeout=40) | |
| except Exception as e: | |
| raise RuntimeError("SearXNG not reachable at %s (start searxng\\start_searxng.bat): %s" % (SEARX, e)) | |
| res = json.loads(b).get("results", [])[:n] | |
| return [{"title": r.get("title"), "url": r.get("url"), | |
| "content": (r.get("content") or "")[:300], "engines": r.get("engines")} for r in res] | |
| class _Text(HTMLParser): | |
| SKIP = {"script", "style", "noscript", "svg", "head", "nav", "footer", "form"} | |
| def __init__(self): | |
| super().__init__(convert_charrefs=True) | |
| self.out, self.skip = [], 0 | |
| def handle_starttag(self, t, a): | |
| if t in self.SKIP: | |
| self.skip += 1 | |
| elif t in ("p", "div", "br", "li", "tr", "h1", "h2", "h3", "h4", "pre", "section", "article"): | |
| self.out.append("\n") | |
| def handle_endtag(self, t): | |
| if t in self.SKIP and self.skip: | |
| self.skip -= 1 | |
| def handle_data(self, d): | |
| if not self.skip: | |
| self.out.append(d) | |
| def fetch(url, max_chars=20000): | |
| """GET a URL; HTML is reduced to text, JSON/text returned as is.""" | |
| h, b = _get(url, timeout=30) | |
| ct = h.get("Content-Type", "") | |
| m = re.search(r"charset=([\w-]+)", ct) | |
| txt = b.decode(m.group(1) if m else "utf-8", "replace") | |
| if "html" in ct.lower() or txt.lstrip()[:15].lower().startswith(("<!doctype", "<html")): | |
| p = _Text() | |
| p.feed(txt) | |
| txt = re.sub(r"[ \t]+", " ", "".join(p.out)) | |
| txt = re.sub(r"\n\s*\n+", "\n\n", txt).strip() | |
| return txt[:max_chars] | |
| def _token(): | |
| t = os.environ.get("HF_TOKEN") or os.environ.get("HUGGINGFACE_HUB_TOKEN") | |
| if not t: | |
| f = os.path.join(HERE, "hf_token.txt") | |
| if os.path.isfile(f): | |
| t = open(f).read().strip() | |
| if not t: | |
| raise RuntimeError("No Hugging Face token: set HF_TOKEN or put it in tools\\hf_token.txt") | |
| return t | |
| def hf_note(repo, path, text, repo_type="model", append=False, message="agent note"): | |
| """Create/overwrite (or append to) a text file in an HF repo via the commit API.""" | |
| tok = _token() | |
| base = "https://huggingface.co" | |
| seg = {"model": "models", "dataset": "datasets", "space": "spaces"}[repo_type] | |
| if append: | |
| rp = "" if repo_type == "model" else seg + "/" | |
| try: | |
| _, old = _get("%s/%s%s/resolve/main/%s" % (base, rp, repo, urllib.parse.quote(path)), | |
| headers={"Authorization": "Bearer " + tok}) | |
| text = old.decode("utf-8", "replace").rstrip("\n") + "\n" + text | |
| except urllib.error.HTTPError as e: | |
| if e.code != 404: | |
| raise | |
| lines = [json.dumps({"key": "header", "value": {"summary": message}}), | |
| json.dumps({"key": "file", "value": {"content": base64.b64encode(text.encode()).decode(), | |
| "path": path, "encoding": "base64"}})] | |
| _, b = _get("%s/api/%s/%s/commit/main" % (base, seg, repo), | |
| headers={"Authorization": "Bearer " + tok, "Content-Type": "application/x-ndjson"}, | |
| data="\n".join(lines).encode(), method="POST") | |
| return json.loads(b) | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| sub = ap.add_subparsers(dest="cmd", required=True) | |
| s = sub.add_parser("search"); s.add_argument("query"); s.add_argument("-n", type=int, default=8) | |
| f = sub.add_parser("fetch"); f.add_argument("url"); f.add_argument("--max", type=int, default=20000) | |
| n = sub.add_parser("hf-note"); n.add_argument("repo"); n.add_argument("path"); n.add_argument("text") | |
| n.add_argument("--type", default="model", choices=["model", "dataset", "space"]) | |
| n.add_argument("--append", action="store_true") | |
| a = ap.parse_args() | |
| if a.cmd == "search": | |
| print(json.dumps(search(a.query, a.n), indent=1, ensure_ascii=False)) | |
| elif a.cmd == "fetch": | |
| print(fetch(a.url, a.max)) | |
| else: | |
| print(json.dumps(hf_note(a.repo, a.path, a.text, a.type, a.append))) | |
| if __name__ == "__main__": | |
| sys.stdout.reconfigure(encoding="utf-8") | |
| main() | |