chendelian
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Co-authored-by: Cursor <cursoragent@cursor.com>
110 lines
4.5 KiB
Python
110 lines
4.5 KiB
Python
"""仿真 RPA 档位：演示 RpaVideoSession + launch_persistent_browser（需浏览器，默认开发档）。"""
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from __future__ import annotations
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import asyncio
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import os
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from datetime import datetime
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from jiangchang_skill_core import config
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from jiangchang_skill_core.rpa import anti_detect, artifacts, errors, launch_persistent_browser
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from jiangchang_skill_core.rpa.human_login import wait_for_captcha_pass
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from jiangchang_skill_core.rpa.video_session import RpaVideoSession
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from util.constants import SKILL_SLUG
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from util.runtime_paths import get_skill_data_dir, get_skill_root
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from .base import AdapterBase, ExampleItem, ExampleResult
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class SimRpaAdapter(AdapterBase):
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name = "sim_rpa"
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def do_batch(self, target: str, items: list[ExampleItem]) -> ExampleResult:
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return asyncio.run(self._do_batch_async(target, items))
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async def _do_batch_async(self, target: str, items: list[ExampleItem]) -> ExampleResult:
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example_path = os.path.join(get_skill_root(), ".env.example")
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config.ensure_env_file(SKILL_SLUG, example_path)
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url = config.get("TARGET_BASE_URL") or target or "https://example.com"
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batch_id = f"sim_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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data_dir = get_skill_data_dir()
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profile_dir = os.path.join(data_dir, "browser-profile")
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os.makedirs(profile_dir, exist_ok=True)
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try:
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from playwright.async_api import async_playwright
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except ImportError:
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return ExampleResult(
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ok=False,
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serial_no=None,
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error_msg="playwright not installed",
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artifacts={},
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)
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artifact_paths: dict = {}
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async with RpaVideoSession(
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skill_slug=SKILL_SLUG,
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skill_data_dir=data_dir,
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batch_id=batch_id,
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title="技能仿真演示",
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) as video:
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video.step("正在打开目标页面")
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try:
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async with async_playwright() as pw:
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context = await launch_persistent_browser(
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pw,
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profile_dir=profile_dir,
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headless=config.get_bool("OPENCLAW_BROWSER_HEADLESS"),
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record_video_dir=video.record_video_dir,
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)
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page = context.pages[0] if context.pages else await context.new_page()
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await page.goto(url, wait_until="domcontentloaded", timeout=60_000)
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await anti_detect.human_mouse_wiggle(page)
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search = page.locator('input[type="search"], input[name="q"]').first
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if await search.count() > 0:
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demo_text = items[0].label if items else "openclaw-demo"
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video.step("正在填写演示内容")
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await anti_detect.human_type(page, search, demo_text)
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await anti_detect.human_delay_short()
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video.step("正在等待人工验证（如有）")
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if not await wait_for_captcha_pass(
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page,
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timeout_sec=config.get_int("HUMAN_WAIT_TIMEOUT", 180),
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):
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shot = await artifacts.capture_failure(
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page, data_dir, batch_id, "captcha"
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)
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if shot:
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artifact_paths["captcha"] = shot
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return ExampleResult(
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ok=False,
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serial_no=None,
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error_msg=errors.ERR_CAPTCHA_NEED_HUMAN,
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artifacts={**artifact_paths, **video.to_artifact_dict()},
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)
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video.step("演示任务完成")
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await context.close()
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except Exception as exc:
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video.step("演示异常结束")
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return ExampleResult(
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ok=False,
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serial_no=None,
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error_msg=str(exc),
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artifacts={**artifact_paths, **video.to_artifact_dict()},
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)
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arts = {"mode": "sim_rpa", "url": url, **artifact_paths, **video.to_artifact_dict()}
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if video.output_video_path:
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arts["video_path"] = video.output_video_path
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return ExampleResult(
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ok=True,
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serial_no=f"SIM-{len(items)}",
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error_msg=None,
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artifacts=arts,
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)
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