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Fixes appid=2046626712 failure (click_image_uncheck returned but slide pipeline assumed fg_elem_list). Migrates base_url to turing.captcha.qcloud.com, adds pure-function classifier, registry-based pipeline dispatch, and a GPT-5.4 vision solver for image_select. Ports slide and icon_click into the new layout and deletes _legacy_solver.py. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Evidence from artifacts/harvest/compare.json showed two issues with the original rules: fg_binding_list (not fg_elem_list) is the exclusive slide marker, and shape_click's instruction is "请依次点击：" with empty post-colon text, which would have collided with icon_click. Rule 4 now excludes shape_click via ins_elem_cfg absence and non-empty-after-colon check. Also documents instruction smart-quote stripping for the LLM prompt and fixes elem_id handling to be a hardcoded empty string. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
13 tasks covering settings/env migration, classifier module, pipeline package with registry, LLM vision client, slide/icon_click port, legacy cleanup, and end-to-end manual verification. Each task has file paths, full code, exact commands, expected output, and a commit step. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
… LLM fields via .env
…legacy/icon_match
…y for image+verify
Live E2E testing against appid=2046626712 proved: - turing.captcha.qcloud.com/cap_union_prehandle → HTTP 403 - turing.captcha.qcloud.com/cap_union_new_getcapbysig → HTTP 200 with 0 bytes - t.captcha.qq.com for all three endpoints works: prehandle (200, valid JSONP), image download (200, 63 KB JPEG), verify POST (200, parseable). Removes the prehandle_url / base_url split (introduced earlier today when we were mid-diagnosis) and points everything at t.captcha.qq.com. This restores the domain used in the user's original (pre-refactor) working log for the prehandle/image calls. verify already wrote back to the same host, so nothing to change there. Tencent still rejects verify with errorCode=9 — that's TDC/fingerprint level detection, not an endpoint issue. Separate follow-up. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ory handling - Add event_dispatch.js to manage mouse event simulation for slider, click, and multi-click trajectories. - Introduce invariants.js to handle server-rejected fields for TDC data. - Create profile.js to define a fingerprint profile for jsdom based on a real Chrome environment. - Enhance tdc_executor.js to orchestrate TDC.js execution, including fetching scripts and dispatching trajectories. - Update nodejs_jsdom.py to support new trajectory structure and improve error handling. - Remove scrapling_browser.py as it is replaced by the new Node.js based approach. - Add trajectory building functions to generate realistic click and image selection trajectories.
…s and update solve_pow to support min/max sleep times
…dom TDC refactor design document.
…ons; add TCaptcha 2.0 loader example and success image
…ing, testing, and release management
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