Datasets:
Tasks:
Text Generation
Languages:
English
Size:
n<1K
Tags:
code
notebooks
training-scripts
dataset:Nanthasit/sakthai-kaggle-notebooks
license-mit
dataset-card
License:
Download scripts/web-agent-job.py from Nanthasit/sakthai-kaggle-notebooks: direct link, hf CLI and curl.
- Browser
- Download file 5.55 kB
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https://huggingface.co/datasets/Nanthasit/sakthai-kaggle-notebooks/resolve/d31cd5c8fdbf7c76fcc469825364e3ed16454a35/scripts/web-agent-job.py
- Command line
-
hf download hf://datasets/Nanthasit/sakthai-kaggle-notebooks@d31cd5c8fdbf7c76fcc469825364e3ed16454a35/scripts/web-agent-job.py
-
curl -L -o web-agent-job.py https://huggingface.co/datasets/Nanthasit/sakthai-kaggle-notebooks/resolve/d31cd5c8fdbf7c76fcc469825364e3ed16454a35/scripts/web-agent-job.py
5.55 kB
| #!/usr/bin/env python3 | |
| # /// script | |
| # dependencies = ["smolagents", "transformers>=4.44", "torch>=2.0", "playwright>=1.40", "accelerate", "bitsandbytes", "pillow"] | |
| # /// | |
| """SakThai Web Agent — headless browser automation via HF Jobs. | |
| Root cause analysis of previous failures: | |
| - Jobs 1-2: docstring format wrong (needs Google-style multi-line) — fixed | |
| - Jobs 3-4: `type` tool name conflicts with Python builtin (shadows in BASE_PYTHON_TOOLS) — fix: inject into executor state | |
| - Job 5: Playwright "cannot switch thread" error — fix: threading.local for per-thread pages | |
| - All jobs wasted ~$3 due to launching before verifying locally — NEVER again | |
| Usage: uv run python web-agent-job.py <url> <task>""" | |
| import sys, os, subprocess, json, threading | |
| subprocess.run(["playwright", "install", "chromium", "--with-deps"], capture_output=True) | |
| from smolagents import CodeAgent, TransformersModel, tool | |
| from playwright.sync_api import sync_playwright | |
| # threading.local keeps a separate Playwright page per thread | |
| # smolagents spawns a new thread per step via ThreadPoolExecutor timeout | |
| _tls = threading.local() | |
| def _ensure_page(): | |
| if not hasattr(_tls, "page") or _tls.page is None: | |
| pw = sync_playwright().start() | |
| browser = pw.chromium.launch(headless=True, args=["--no-sandbox"]) | |
| _tls.page = browser.new_page() | |
| _tls.pw = pw | |
| _tls.browser = browser | |
| return _tls.page | |
| def navigate(url: str) -> str: | |
| """Navigate to a webpage. | |
| Args: | |
| url: The full URL to visit | |
| """ | |
| _ensure_page().goto(url, wait_until="domcontentloaded") | |
| return f"Navigated to {url}" | |
| def click(target: str) -> str: | |
| """Click an element by selector or text. | |
| Args: | |
| target: CSS selector, text label, or coordinate | |
| """ | |
| _ensure_page().click(target) | |
| return f"Clicked {target}" | |
| # NOTE: Cannot name this function 'type' because Python's builtin type() shadows it. | |
| # The agent's code executor checks state dict first, then static_tools (which includes | |
| # BASE_PYTHON_TOOLS['type'] = builtin type). By injecting into state after agent creation, | |
| # our tool takes precedence. See below in main(). | |
| def type_into(selector: str, text: str) -> str: | |
| """Type text into a field. | |
| Args: | |
| selector: CSS selector for the input field | |
| text: The text to type | |
| """ | |
| _ensure_page().fill(selector, text) | |
| return f"Typed into {selector}" | |
| def select(selector: str, value: str) -> str: | |
| """Select from dropdown. | |
| Args: | |
| selector: CSS selector for the select element | |
| value: The option value to select | |
| """ | |
| _ensure_page().select_option(selector, value) | |
| return f"Selected {value}" | |
| def extract(selector: str = "body") -> str: | |
| """Extract text content. | |
| Args: | |
| selector: CSS selector to extract text from | |
| """ | |
| return _ensure_page().inner_text(selector)[:2000] | |
| def scroll(direction: str = "down") -> str: | |
| """Scroll the page. | |
| Args: | |
| direction: up, down, top, or bottom | |
| """ | |
| cmds = {"up": "window.scrollBy(0,-500)", "down": "window.scrollBy(0,500)", | |
| "top": "window.scrollTo(0,0)", "bottom": "window.scrollTo(0,document.body.scrollHeight)"} | |
| _ensure_page().evaluate(cmds.get(direction, cmds["down"])) | |
| return f"Scrolled {direction}" | |
| def wait(ms: int = 1000) -> str: | |
| """Wait for milliseconds. | |
| Args: | |
| ms: Time to wait in milliseconds | |
| """ | |
| _ensure_page().wait_for_timeout(ms) | |
| return f"Waited {ms}ms" | |
| def press_key(key: str) -> str: | |
| """Press a keyboard key. | |
| Args: | |
| key: Key to press (e.g. Enter, Tab, Escape) | |
| """ | |
| _ensure_page().keyboard.press(key) | |
| return f"Pressed {key}" | |
| def screenshot() -> str: | |
| """Take screenshot.""" | |
| _ensure_page().screenshot() | |
| return "Screenshot taken" | |
| def go_back() -> str: | |
| """Go back to previous page.""" | |
| _ensure_page().go_back() | |
| return "Went back" | |
| def done(answer: str = "") -> str: | |
| """Mark task as complete. | |
| Args: | |
| answer: The final answer or summary | |
| """ | |
| return f"DONE: {answer}" | |
| tools = [navigate, click, type_into, select, extract, scroll, wait, press_key, screenshot, go_back, done] | |
| url = sys.argv[1] if len(sys.argv) > 1 else "https://www.google.com" | |
| task = sys.argv[2] if len(sys.argv) > 2 else "search for sakthai coder browser" | |
| prompt = (f"Go to {url} and {task}. Use navigate(), click(), type_into(), " | |
| f"select(), extract(), scroll(), wait(), press_key(), go_back(), screenshot(), " | |
| f"and done() as needed. When finished, call done() with a summary.") | |
| print(f"URL: {url}", flush=True) | |
| print(f"Task: {task}", flush=True) | |
| print("Loading model Nanthasit/sakthai-coder-browser...", flush=True) | |
| from transformers import BitsAndBytesConfig | |
| import torch | |
| quant = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4", | |
| bnb_4bit_compute_dtype=torch.float16, bnb_4bit_use_double_quant=True) | |
| model = TransformersModel( | |
| model_id="Nanthasit/sakthai-coder-browser", | |
| device_map="auto", torch_dtype="auto", max_new_tokens=512, | |
| model_kwargs={"quantization_config": quant}, | |
| ) | |
| agent = CodeAgent(tools=tools, model=model, max_steps=10, verbosity_level=2) | |
| # Inject type_into as 'type' into executor state so it takes precedence over | |
| # BASE_PYTHON_TOOLS['type'] (builtin). evaluate_name checks state FIRST, then static_tools. | |
| agent.python_executor.state["type"] = agent.tools["type_into"] | |
| result = agent.run(prompt) | |
| print(f"\nResult: {result}", flush=True) | |