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Use \\\\x60 for backtick characters inside generated code strings.\n */\n\nexport interface FlowBlock {\n id: string;\n type: BlockType;\n params: Record;\n label?: string;\n}\n\nexport type BlockType =\n | \"click\" | \"type_text\" | \"press_key\" | \"scroll\" | \"hover\"\n | \"select_option\" | \"set_date_input\" | \"upload_file\" | \"handle_dialog\"\n | \"get_element_text\" | \"get_link_url\" | \"get_page_url\"\n | \"get_element_attribute\" | \"get_element_html\" | \"get_clipboard\"\n | \"save_file\" | \"take_screenshot\" | \"generate_pdf\"\n | \"visit\" | \"go_back\" | \"go_forward\" | \"reload_page\"\n | \"loop_spreadsheet_rows\" | \"add_spreadsheet_row\"\n | \"update_spreadsheet_row\" | \"find_spreadsheet_row\"\n | \"loop_elements\" | \"loop_pages\" | \"loop\" | \"loop_list_items\"\n | \"if\" | \"else\" | \"while\" | \"end\" | \"break\"\n | \"create_tab\" | \"get_active_tab_id\" | \"select_tab\" | \"close_tab\"\n | \"run_script\" | \"get_date\" | \"wait\" | \"wait_for_element\"\n | \"show_alert\" | \"make_http_request\" | \"assert\" | \"run_flow\"\n | \"comment\" | \"solve_captcha\" | \"solve_hcaptcha\"\n | \"solve_hcaptcha_vision\" | \"solve_captcha_vision\";\n\nexport function compileBlock(block: FlowBlock): string {\n const p = block.params;\n const id = block.id;\n\n switch (block.type) {\n case \"click\":\n return `\n// Block: Click [${id}]\nawait page.click(${JSON.stringify(p.selector ?? \"\")}, {\n button: ${JSON.stringify(p.button ?? \"left\")},\n clickCount: ${p.clickCount ?? 1},\n delay: ${p.delay ?? 0},\n});`;\n\n case \"type_text\":\n return `\n// Block: Type Text [${id}]\nawait page.fill(${JSON.stringify(p.selector ?? \"\")}, ${JSON.stringify(p.text ?? \"\")});`;\n\n case \"press_key\":\n return `\n// Block: Press Key [${id}]\nawait page.keyboard.press(${JSON.stringify(p.key ?? \"Enter\")});`;\n\n case \"scroll\":\n return `\n// Block: Scroll [${id}]\nawait page.evaluate(({ selector, deltaX, deltaY }) => {\n const el = selector ? document.querySelector(selector) : window;\n if (el) el.scrollBy(deltaX, deltaY);\n}, { selector: ${JSON.stringify(p.selector ?? null)}, deltaX: ${p.deltaX ?? 0}, deltaY: ${p.deltaY ?? 300} });`;\n\n case \"hover\":\n return `\n// Block: Hover [${id}]\nawait page.hover(${JSON.stringify(p.selector ?? \"\")});`;\n\n case \"select_option\":\n return `\n// Block: Select Option [${id}]\nawait page.selectOption(${JSON.stringify(p.selector ?? \"\")}, ${JSON.stringify(p.value ?? \"\")});`;\n\n case \"set_date_input\":\n return `\n// Block: Set Date Input [${id}]\nawait page.fill(${JSON.stringify(p.selector ?? \"\")}, ${JSON.stringify(p.date ?? \"\")});`;\n\n case \"upload_file\":\n return `\n// Block: Upload File [${id}]\n{\n const fileUrl = ${JSON.stringify(p.fileUrl ?? \"\")};\n const fileName = fileUrl.split('/').pop() || 'file';\n const resp = await page.evaluate(async (url) => {\n const r = await fetch(url);\n const buf = await r.arrayBuffer();\n return Array.from(new Uint8Array(buf));\n }, fileUrl);\n const buffer = Buffer.from(resp);\n await page.setInputFiles(${JSON.stringify(p.selector ?? \"input[type=file]\")}, {\n name: fileName,\n mimeType: ${JSON.stringify(p.mimeType ?? \"application/octet-stream\")},\n buffer,\n });\n}`;\n\n case \"handle_dialog\":\n return `\n// Block: Handle Dialog [${id}]\npage.once('dialog', async (dialog) => {\n const action = ${JSON.stringify(p.action ?? \"accept\")};\n if (action === 'accept') {\n await dialog.accept(${JSON.stringify(p.promptText ?? \"\")});\n } else {\n await dialog.dismiss();\n }\n});`;\n\n case \"get_element_text\":\n return `\n// Block: Get Element Text [${id}]\nresults[${JSON.stringify(id)}] = await page.textContent(${JSON.stringify(p.selector ?? \"\")});`;\n\n case \"get_link_url\":\n return `\n// Block: Get Link URL [${id}]\nresults[${JSON.stringify(id)}] = await page.getAttribute(${JSON.stringify(p.selector ?? \"a\")}, 'href');`;\n\n case \"get_page_url\":\n return `\n// Block: Get Page URL [${id}]\nresults[${JSON.stringify(id)}] = page.url();`;\n\n case \"get_element_attribute\":\n return `\n// Block: Get Element Attribute [${id}]\nresults[${JSON.stringify(id)}] = await page.getAttribute(\n ${JSON.stringify(p.selector ?? \"\")},\n ${JSON.stringify(p.attribute ?? \"\")},\n);`;\n\n case \"get_element_html\":\n return `\n// Block: Get Element HTML [${id}]\nresults[${JSON.stringify(id)}] = await page.innerHTML(${JSON.stringify(p.selector ?? \"\")});`;\n\n case \"get_clipboard\":\n return `\n// Block: Get Clipboard [${id}]\nresults[${JSON.stringify(id)}] = await page.evaluate(() => navigator.clipboard.readText());`;\n\n case \"save_file\":\n return `\n// Block: Save File [${id}]\n{\n const [download] = await Promise.all([\n page.waitForEvent('download'),\n page.goto(${JSON.stringify(p.url ?? \"\")}),\n ]);\n const path = await download.path();\n results[${JSON.stringify(id)}] = { suggestedFilename: download.suggestedFilename(), path };\n}`;\n\n case \"take_screenshot\":\n return `\n// Block: Take Screenshot [${id}]\n{\n const screenshotBuf = await page.screenshot({\n type: 'png',\n fullPage: ${p.fullPage ?? false},\n ${p.selector ? `clip: await page.locator(${JSON.stringify(p.selector)}).boundingBox() ?? undefined,` : \"\"}\n });\n results[${JSON.stringify(id)}] = screenshotBuf.toString('base64');\n}`;\n\n case \"generate_pdf\":\n return `\n// Block: Generate PDF [${id}]\n{\n const pdfBuf = await page.pdf({ format: ${JSON.stringify(p.format ?? \"A4\")} });\n results[${JSON.stringify(id)}] = pdfBuf.toString('base64');\n}`;\n\n case \"visit\":\n return `\n// Block: Visit [${id}]\nawait page.goto(${JSON.stringify(p.url ?? \"\")}, {\n waitUntil: ${JSON.stringify(p.waitUntil ?? \"domcontentloaded\")},\n timeout: ${p.timeout ?? 30000},\n});`;\n\n case \"go_back\":\n return `\n// Block: Go Back [${id}]\nawait page.goBack();`;\n\n case \"go_forward\":\n return `\n// Block: Go Forward [${id}]\nawait page.goForward();`;\n\n case \"reload_page\":\n return `\n// Block: Reload Page [${id}]\nawait page.reload();`;\n\n case \"loop_spreadsheet_rows\":\n case \"add_spreadsheet_row\":\n case \"update_spreadsheet_row\":\n case \"find_spreadsheet_row\":\n return `\n// Block: ${block.type} [${id}]\nconsole.log('Spreadsheet block skipped (OAuth not configured)');`;\n\n case \"loop\":\n return `\n// Block: Loop ${p.count ?? 1} times [${id}]\nfor (let _i = 0; _i < ${p.count ?? 1}; _i++) {`;\n\n case \"loop_elements\":\n return `\n// Block: Loop Elements [${id}]\n{\n const _elements = await page.locator(${JSON.stringify(p.selector ?? \"\")}).all();\n for (const element of _elements) {`;\n\n case \"loop_pages\":\n return `\n// Block: Loop Pages [${id}]\nlet _hasNextPage = true;\nwhile (_hasNextPage) {`;\n\n case \"loop_list_items\":\n return `\n// Block: Loop List Items [${id}]\n{\n const _listItems = ${JSON.stringify(p.items ?? [])};\n for (const item of _listItems) {`;\n\n case \"if\":\n return `\n// Block: If [${id}]\nif (${p.condition ?? \"true\"}) {`;\n\n case \"else\":\n return `\n// Block: Else [${id}]\n} else {`;\n\n case \"while\":\n return `\n// Block: While [${id}]\nwhile (${p.condition ?? \"true\"}) {`;\n\n case \"end\":\n return `\n// Block: End [${id}]\n}`;\n\n case \"break\":\n return `\n// Block: Break [${id}]\nbreak;`;\n\n case \"create_tab\":\n return `\n// Block: Create Tab [${id}]\n{\n const _newPage = await context.newPage();\n if (${JSON.stringify(p.url ?? \"\")}) await _newPage.goto(${JSON.stringify(p.url ?? \"\")});\n results[${JSON.stringify(id)}] = context.pages().length - 1;\n}`;\n\n case \"get_active_tab_id\":\n return `\n// Block: Get Active Tab ID [${id}]\nresults[${JSON.stringify(id)}] = context.pages().indexOf(page);`;\n\n case \"select_tab\":\n return `\n// Block: Select Tab [${id}]\n{\n const _tabIndex = ${p.tabIndex ?? 0};\n const _pages = context.pages();\n if (_pages[_tabIndex]) {\n page = _pages[_tabIndex];\n await page.bringToFront();\n }\n}`;\n\n case \"close_tab\":\n return `\n// Block: Close Tab [${id}]\n{\n const _tabIndex = ${p.tabIndex ?? -1};\n const _pages = context.pages();\n const _target = _tabIndex >= 0 ? _pages[_tabIndex] : page;\n if (_target) await _target.close();\n}`;\n\n case \"run_script\":\n return `\n// Block: Run Script [${id}]\n{\n const _scriptResult = await page.evaluate(() => {\n ${p.script ?? \"\"}\n });\n results[${JSON.stringify(id)}] = _scriptResult;\n}`;\n\n case \"get_date\":\n return `\n// Block: Get Date [${id}]\nresults[${JSON.stringify(id)}] = new Date().toISOString();`;\n\n case \"wait\":\n return `\n// Block: Wait ${p.ms ?? 1000}ms [${id}]\nawait page.waitForTimeout(${p.ms ?? 1000});`;\n\n case \"wait_for_element\":\n return `\n// Block: Wait For Element [${id}]\nawait page.waitForSelector(${JSON.stringify(p.selector ?? \"\")}, {\n state: ${JSON.stringify(p.state ?? \"visible\")},\n timeout: ${p.timeout ?? 30000},\n});`;\n\n case \"show_alert\":\n return `\n// Block: Show Alert [${id}]\nawait page.evaluate((msg) => alert(msg), ${JSON.stringify(p.message ?? \"\")});`;\n\n case \"make_http_request\":\n return `\n// Block: Make HTTP Request [${id}]\n{\n const _resp = await page.evaluate(async ({ url, method, headers, body }) => {\n const r = await fetch(url, {\n method,\n headers: headers || {},\n body: body ? JSON.stringify(body) : undefined,\n });\n const text = await r.text();\n return { status: r.status, body: text };\n }, {\n url: ${JSON.stringify(p.url ?? \"\")},\n method: ${JSON.stringify(p.method ?? \"GET\")},\n headers: ${JSON.stringify(p.headers ?? {})},\n body: ${JSON.stringify(p.body ?? null)},\n });\n results[${JSON.stringify(id)}] = _resp;\n}`;\n\n case \"assert\":\n return `\n// Block: Assert [${id}]\n{\n const _assertValue = ${p.actual ?? \"true\"};\n const _expected = ${JSON.stringify(p.expected ?? true)};\n if (String(_assertValue) !== String(_expected)) {\n throw new Error('Assert failed [${id}]: expected ' + _expected + ' but got ' + _assertValue);\n }\n results[${JSON.stringify(id)}] = true;\n}`;\n\n case \"run_flow\":\n return `\n// Block: Run Flow [${id}]\nconsole.log('Run Flow block: sub-flow ${JSON.stringify(p.flowId)} invoked separately');`;\n\n case \"comment\":\n return `\n// Comment [${id}]: ${p.text ?? \"\"}`;\n\n case \"solve_captcha\":\n return `\n// Block: Solve Captcha [${id}]\nawait page.waitForTimeout(2000);\nconsole.log('Captcha block: extension handles automatically');`;\n\n // ── solve_hcaptcha: index-based grid solver (original) ───────────────\n case \"solve_hcaptcha\": {\n const geminiApiKey = Deno.env.get(\"GEMINI_API_KEY\") ?? \"\";\n const maxRounds = Number(p.maxRounds ?? 5);\n const geminiModel = String(p.geminiModel ?? \"gemini-2.5-flash\");\n const waitAfterClick = Number(p.waitAfterClickMs ?? 3000);\n\n return `\n// Block: Solve hCaptcha (index-based) [${id}]\n{\n const _gKey = ${JSON.stringify(geminiApiKey)};\n const _gModel = ${JSON.stringify(geminiModel)};\n const _maxR = ${maxRounds};\n const _wait = ${waitAfterClick};\n\n async function _callGeminiIdx(b64, task) {\n const url = \"https://generativelanguage.googleapis.com/v1beta/models/\" + _gModel + \":generateContent?key=\" + _gKey;\n const body = {\n contents: [{ parts: [\n { text: \"hCaptcha task: '\" + task + \"'. Grid is 3x3 (indices 0-8). Return ONLY a JSON array of 0-indexed positions matching the task. Example: [1,3,4]. If none match: [].\" },\n { inline_data: { mime_type: \"image/jpeg\", data: b64 } },\n ]}],\n generationConfig: { temperature: 0.1, maxOutputTokens: 128 },\n };\n const r = await fetch(url, { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify(body) });\n if (!r.ok) throw new Error(\"Gemini \" + r.status + \": \" + await r.text());\n const d = await r.json();\n return d?.candidates?.[0]?.content?.parts?.[0]?.text ?? \"[]\";\n }\n\n function _parseIdxArr(text) {\n try { const m = text.match(/\\\\[.*?\\\\]/s); return m ? JSON.parse(m[0]) : []; }\n catch { return []; }\n }\n\n console.log(\"[hCaptcha] Looking for checkbox frame...\");\n const _cbSels = [\n \"iframe[title*='hCaptcha checkbox']\",\n \"iframe[title*='Widget containing checkbox']\",\n \"iframe[title*='hộp kiểm']\",\n ];\n\n let _cbFrame = null;\n for (let _t = 0; _t < 15; _t++) {\n for (const s of _cbSels) {\n try { if (await page.locator(s).isVisible()) { _cbFrame = page.frameLocator(s); break; } } catch {}\n }\n if (_cbFrame) break;\n await page.waitForTimeout(1000);\n }\n\n if (!_cbFrame) {\n results[${JSON.stringify(id)}] = { success: false, reason: \"checkbox_not_found\" };\n } else {\n const _cb = _cbFrame.locator(\"#checkbox\");\n try {\n await _cb.waitFor({ state: \"visible\", timeout: 10000 });\n if (await _cb.getAttribute(\"aria-checked\") === \"true\") {\n results[${JSON.stringify(id)}] = { success: true, reason: \"already_checked\" };\n } else {\n await _cb.click({ force: true });\n let _chalFrame = null;\n for (let _i = 0; _i < 40; _i++) {\n try {\n if (await _cbFrame.locator(\"#checkbox\").getAttribute(\"aria-checked\") === \"true\") {\n _chalFrame = \"solved\"; break;\n }\n } catch {}\n for (const _f of page.frames()) {\n try {\n if (await _f.locator(\".prompt-text\").isVisible() || await _f.locator(\".challenge-view\").isVisible()) {\n _chalFrame = _f; break;\n }\n } catch {}\n }\n if (_chalFrame) break;\n if (_i > 0 && _i % 8 === 0) {\n try { await _cbFrame.locator(\"#checkbox\").click({ force: true }); } catch {}\n }\n await page.waitForTimeout(1000);\n }\n if (_chalFrame === \"solved\") {\n results[${JSON.stringify(id)}] = { success: true, reason: \"instant_solve\" };\n } else if (!_chalFrame) {\n const v = await _cbFrame.locator(\"#checkbox\").getAttribute(\"aria-checked\").catch(() => null);\n results[${JSON.stringify(id)}] = v === \"true\"\n ? { success: true, reason: \"late_solve\" }\n : { success: false, reason: \"challenge_not_found\" };\n } else {\n let _solved = false;\n for (let _r = 0; _r < _maxR; _r++) {\n let _vis = false;\n try { _vis = await _chalFrame.locator(\".prompt-text\").isVisible() || await _chalFrame.locator(\".challenge-view\").isVisible(); } catch {}\n if (!_vis) { _solved = true; break; }\n let _prompt = \"\";\n try { _prompt = (await _chalFrame.locator(\".prompt-text\").innerText()).trim(); } catch {}\n if (!_prompt) continue;\n let _b64 = \"\";\n try { _b64 = (await _chalFrame.locator(\".challenge-view\").screenshot()).toString(\"base64\"); } catch { continue; }\n let _idxs = [];\n try { _idxs = _parseIdxArr(await _callGeminiIdx(_b64, _prompt)); } catch { continue; }\n console.log(\"[hCaptcha] Prompt: \" + _prompt + \" | Indices: \" + JSON.stringify(_idxs));\n let _cells = _chalFrame.locator(\".task-image\");\n if (await _cells.count() === 0) _cells = _chalFrame.locator(\".task\");\n for (const _idx of _idxs) {\n try { await _cells.nth(_idx).click(); await page.waitForTimeout(100); } catch {}\n }\n try { await _chalFrame.locator(\".button-submit\").click(); } catch {}\n await page.waitForTimeout(_wait);\n try { if (await _cbFrame.locator(\"#checkbox\").getAttribute(\"aria-checked\") === \"true\") { _solved = true; break; } } catch {}\n }\n results[${JSON.stringify(id)}] = _solved\n ? { success: true, reason: \"solved_by_gemini\" }\n : { success: false, reason: \"max_rounds_exceeded\" };\n }\n }\n } catch (e) {\n results[${JSON.stringify(id)}] = { success: false, reason: e.message };\n }\n }\n}`;\n }\n\n // ── solve_hcaptcha_vision: batch coordinate solver for hCaptcha ─────\n case \"solve_hcaptcha_vision\": {\n const hv_apiKey = Deno.env.get(\"GEMINI_API_KEY\") ?? \"\";\n const hv_model = String(p.geminiModel ?? \"gemini-2.5-flash\");\n const hv_rounds = Number(p.maxTurns ?? 5);\n const hv_click = Number(p.turnDelayMs ?? 300);\n const hv_imgType = String(p.screenshotType ?? \"jpeg\");\n\n // NOTE: all backticks in generated code use \\x60 escape to avoid\n // breaking the outer template literal in executor.ts\n return `\n// Block: Solve hCaptcha — Vision Batch [${id}]\n// One Gemini call per round: returns ALL image coords + Verify coord at once.\n{\n const _apiKey = ${JSON.stringify(hv_apiKey)};\n const _model = ${JSON.stringify(hv_model)};\n const _maxRounds = ${hv_rounds};\n const _clickMs = ${hv_click};\n const _imgType = ${JSON.stringify(hv_imgType)};\n\n async function _hvShot() {\n const buf = await page.screenshot({ type: _imgType, fullPage: false });\n return { b64: buf.toString(\"base64\"), mime: \"image/\" + _imgType };\n }\n\n async function _hvSolved() {\n for (const s of [\"iframe[title*='hCaptcha']\",\"iframe[title*='Widget containing checkbox']\",\"iframe[title*=\\x27hộp kiểm\\x27]\"]) {\n try { const v = await page.frameLocator(s).locator(\"#checkbox\").getAttribute(\"aria-checked\",{timeout:600}); if(v===\"true\") return true; } catch {}\n }\n return false;\n }\n\n async function _hvAnalyze(b64, mime) {\n const url = \"https://generativelanguage.googleapis.com/v1beta/models/\" + _model + \":generateContent?key=\" + _apiKey;\n const prompt = [\n \"You are solving an hCaptcha image-grid challenge.\",\n \"Look at this screenshot carefully. Find the challenge popup with a task text and a grid of images.\",\n \"\",\n \"RESPOND WITH RAW JSON ONLY — absolutely no markdown, no code fences, no explanation:\",\n \"{\",\n ' \"task\": \"\",',\n ' \"clicks\": [{\"x\":,\"y\":,\"reason\":\"\"}, ...],',\n ' \"verify\": {\"x\":,\"y\":},',\n ' \"status\": \"ready\",',\n ' \"reason\": \"\"',\n \"}\",\n \"\",\n \"Rules:\",\n \"- clicks[] = pixel coords of CENTER of EVERY image matching the task. Can be [].\",\n \"- verify = pixel coords of the Verify button.\",\n \"- status: ready | no_challenge | loading\",\n \"- x,y are absolute pixels in the screenshot (top-left=0,0).\",\n \"- DO NOT wrap in markdown. The response must start with { and end with }.\",\n ].join(\"\\\\n\");\n const r = await fetch(url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n contents: [{ role: \"user\", parts: [{ text: prompt }, { inline_data: { mime_type: mime, data: b64 } }] }],\n generationConfig: { temperature: 0.05, maxOutputTokens: 600 },\n }),\n });\n if (!r.ok) throw new Error(\"Gemini \" + r.status + \": \" + (await r.text()).slice(0,150));\n const d = await r.json();\n return d?.candidates?.[0]?.content?.parts?.[0]?.text ?? '{\"status\":\"failed\",\"reason\":\"empty\"}';\n }\n\n function _hvParse(raw) {\n if (!raw) return { status: \"failed\", clicks: [] };\n let s = raw.trim();\n // Strip any markdown fences using char codes (96 = backtick)\n const fence = String.fromCharCode(96,96,96);\n const fi = s.indexOf(fence);\n const li = s.lastIndexOf(fence);\n if (fi !== -1 && li > fi) {\n s = s.slice(fi + 3, li);\n const nl = s.indexOf(\"\\\\n\");\n if (nl !== -1 && nl < 10) s = s.slice(nl + 1); // strip \"json\\\\n\" language hint\n }\n s = s.trim();\n try { return JSON.parse(s); } catch {}\n const m = s.match(/\\\\{[\\\\s\\\\S]*\\\\}/);\n if (m) { try { return JSON.parse(m[0]); } catch {} }\n console.warn(\"[hCaptchaVision] Parse fail: \" + s.slice(0,100));\n return { status: \"failed\", reason: \"parse_error\", clicks: [] };\n }\n\n console.log(\"[hCaptchaVision] Starting batch solver...\");\n let _cbClicked = false;\n for (let _t = 0; _t < 15 && !_cbClicked; _t++) {\n for (const s of [\"iframe[title*='hCaptcha']\",\"iframe[title*='Widget containing checkbox']\"]) {\n try {\n if (await page.locator(s).isVisible({ timeout: 500 })) {\n await page.frameLocator(s).locator(\"#checkbox\").click({ force: true });\n console.log(\"[hCaptchaVision] Checkbox clicked.\");\n _cbClicked = true; break;\n }\n } catch {}\n }\n if (!_cbClicked) await page.waitForTimeout(1000);\n }\n await page.waitForTimeout(2000);\n\n if (await _hvSolved()) {\n console.log(\"[hCaptchaVision] Instantly solved!\");\n results[${JSON.stringify(id)}] = { success: true, rounds: 0, reason: \"instant_solve\" };\n } else {\n const _log = [];\n let _ok = false;\n for (let _r = 0; _r < _maxRounds; _r++) {\n console.log(\"[hCaptchaVision] Round \" + (_r+1) + \"/\" + _maxRounds);\n let _s; try { _s = await _hvShot(); } catch(e) { await page.waitForTimeout(1000); continue; }\n let _raw; try { _raw = await _hvAnalyze(_s.b64, _s.mime); console.log(\"[hCaptchaVision] Raw: \" + _raw.slice(0,180)); }\n catch(e) { console.warn(\"[hCaptchaVision] Gemini err: \"+e.message); await page.waitForTimeout(2000); continue; }\n const _resp = _hvParse(_raw);\n _log.push({ r: _r+1, task: _resp.task, n: (_resp.clicks||[]).length, status: _resp.status });\n if (_resp.status === \"no_challenge\") { _ok = true; break; }\n if (_resp.status === \"loading\") { await page.waitForTimeout(2000); _r--; continue; }\n const _cl = Array.isArray(_resp.clicks) ? _resp.clicks : [];\n console.log(\"[hCaptchaVision] Task: \" + _resp.task + \" | \" + _cl.length + \" clicks\");\n for (const _c of _cl) {\n if (typeof _c.x===\"number\" && typeof _c.y===\"number\") {\n console.log(\"[hCaptchaVision] click (\"+_c.x+\",\"+_c.y+\") \"+(_c.reason||\"\"));\n try { await page.mouse.click(_c.x, _c.y); } catch {}\n await page.waitForTimeout(_clickMs);\n }\n }\n if (_resp.verify && typeof _resp.verify.x===\"number\") {\n try { await page.mouse.click(_resp.verify.x, _resp.verify.y); } catch {}\n } else {\n for (const vs of [\".button-submit\",\"button:has-text('Verify')\"]) {\n try { if (await page.locator(vs).isVisible({timeout:400})) { await page.locator(vs).click(); break; } } catch {}\n }\n }\n await page.waitForTimeout(2500);\n if (await _hvSolved()) { console.log(\"[hCaptchaVision] Solved round \"+(_r+1)); _ok = true; break; }\n }\n results[${JSON.stringify(id)}] = { success: _ok, rounds: _log, reason: _ok ? \"solved\" : \"max_rounds_exceeded\" };\n console.log(\"[hCaptchaVision] Final: success=\" + _ok);\n }\n}`;\n }\n\n // ── solve_captcha_vision: generic batch solver for ANY captcha ───────\n case \"solve_captcha_vision\": {\n const cv_apiKey = Deno.env.get(\"GEMINI_API_KEY\") ?? \"\";\n const cv_model = String(p.geminiModel ?? \"gemini-2.5-flash\");\n const cv_maxRounds = Number(p.maxRounds ?? 5);\n const cv_clickMs = Number(p.clickDelayMs ?? 300);\n const cv_verifyMs = Number(p.afterVerifyMs ?? 2500);\n const cv_imgType = String(p.screenshotType ?? \"jpeg\");\n const cv_hint = String(p.captchaHint ?? \"image selection CAPTCHA\");\n\n return `\n// Block: Solve CAPTCHA — Vision Batch [${id}]\n// Works for hCaptcha, eBay DataDome, Imperva, FunCaptcha, etc.\n{\n const _apiKey = ${JSON.stringify(cv_apiKey)};\n const _model = ${JSON.stringify(cv_model)};\n const _maxRounds = ${cv_maxRounds};\n const _clickMs = ${cv_clickMs};\n const _verifyMs = ${cv_verifyMs};\n const _imgType = ${JSON.stringify(cv_imgType)};\n const _hint = ${JSON.stringify(cv_hint)};\n\n async function _cvShot() {\n const buf = await page.screenshot({ type: _imgType, fullPage: false });\n return { b64: buf.toString(\"base64\"), mime: \"image/\" + _imgType };\n }\n\n async function _cvAnalyze(b64, mime) {\n const url = \"https://generativelanguage.googleapis.com/v1beta/models/\" + _model + \":generateContent?key=\" + _apiKey;\n const prompt = [\n \"You are solving a \" + _hint + \" visible in this browser screenshot.\",\n \"\",\n \"TASK: Find the challenge task text, identify ALL matching images, and find the Verify button.\",\n \"\",\n \"RESPOND WITH RAW JSON ONLY — no markdown, no code fences, response must start with { and end with }:\",\n \"{\",\n ' \"task\": \"\",',\n ' \"clicks\": [{\"x\":,\"y\":,\"reason\":\"\"}, ...],',\n ' \"verify\": {\"x\":,\"y\":},',\n ' \"status\": \"ready\",',\n ' \"reason\": \"\"',\n \"}\",\n \"\",\n \"Rules:\",\n \"- x,y = pixel coords of CENTER of each element (top-left=0,0).\",\n \"- clicks[] = ALL images matching the task. Empty [] if no matches.\",\n \"- verify = coords of Verify/Submit/Check button.\",\n \"- status: ready | no_captcha | loading\",\n ].join(\"\\\\n\");\n const r = await fetch(url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n contents: [{ role: \"user\", parts: [{ text: prompt }, { inline_data: { mime_type: mime, data: b64 } }] }],\n generationConfig: { temperature: 0.05, maxOutputTokens: 600 },\n }),\n });\n if (!r.ok) throw new Error(\"Gemini \" + r.status + \": \" + (await r.text()).slice(0,150));\n const d = await r.json();\n return d?.candidates?.[0]?.content?.parts?.[0]?.text ?? '{\"status\":\"failed\",\"reason\":\"empty\"}';\n }\n\n function _cvParse(raw) {\n if (!raw) return { status: \"failed\", clicks: [] };\n let s = raw.trim();\n // Strip markdown fences via char codes (96 = backtick)\n const fence = String.fromCharCode(96,96,96);\n const fi = s.indexOf(fence);\n const li = s.lastIndexOf(fence);\n if (fi !== -1 && li > fi) {\n s = s.slice(fi + 3, li);\n const nl = s.indexOf(\"\\\\n\");\n if (nl !== -1 && nl < 10) s = s.slice(nl + 1);\n }\n s = s.trim();\n try { return JSON.parse(s); } catch {}\n const m = s.match(/\\\\{[\\\\s\\\\S]*\\\\}/);\n if (m) { try { return JSON.parse(m[0]); } catch {} }\n console.warn(\"[CaptchaVision] Parse fail: \" + s.slice(0,100));\n return { status: \"failed\", reason: \"parse_error\", clicks: [] };\n }\n\n async function _cvSolved(initUrl) {\n if (page.url() !== initUrl) return true;\n for (const s of [\"iframe[title*='hCaptcha']\",\"iframe[title*='Widget containing checkbox']\"]) {\n try { const v = await page.frameLocator(s).locator(\"#checkbox\").getAttribute(\"aria-checked\",{timeout:400}); if(v===\"true\") return true; } catch {}\n }\n return false;\n }\n\n console.log(\"[CaptchaVision] Starting: \" + _hint);\n const _initUrl = page.url();\n const _log = [];\n let _ok = false;\n\n for (let _r = 0; _r < _maxRounds; _r++) {\n console.log(\"[CaptchaVision] Round \" + (_r+1) + \"/\" + _maxRounds);\n let _s; try { _s = await _cvShot(); } catch(e) { await page.waitForTimeout(1000); continue; }\n let _raw;\n try {\n _raw = await _cvAnalyze(_s.b64, _s.mime);\n console.log(\"[CaptchaVision] Raw: \" + _raw.slice(0,200));\n } catch(e) { console.warn(\"[CaptchaVision] Gemini err: \"+e.message); await page.waitForTimeout(2000); continue; }\n const _resp = _cvParse(_raw);\n _log.push({ r: _r+1, task: _resp.task, n: (_resp.clicks||[]).length, status: _resp.status });\n if (_resp.status === \"no_captcha\") { _ok = true; break; }\n if (_resp.status === \"loading\") { await page.waitForTimeout(2000); _r--; continue; }\n if (_resp.status === \"failed\") { await page.waitForTimeout(1500); continue; }\n const _cl = Array.isArray(_resp.clicks) ? _resp.clicks : [];\n console.log(\"[CaptchaVision] Task: \" + _resp.task + \" | \" + _cl.length + \" clicks\");\n for (const _c of _cl) {\n if (typeof _c.x===\"number\" && typeof _c.y===\"number\") {\n console.log(\"[CaptchaVision] click (\"+_c.x+\",\"+_c.y+\") \"+(_c.reason||\"\"));\n try { await page.mouse.click(_c.x, _c.y); } catch {}\n await page.waitForTimeout(_clickMs);\n }\n }\n if (_resp.verify && typeof _resp.verify.x===\"number\") {\n console.log(\"[CaptchaVision] Verify click (\"+_resp.verify.x+\",\"+_resp.verify.y+\")\");\n try { await page.mouse.click(_resp.verify.x, _resp.verify.y); } catch {}\n } else {\n for (const vs of [\"button:has-text('Verify')\",\"button:has-text('Submit')\",\".verify-button\",\"input[value='Verify']\"]) {\n try { if (await page.locator(vs).isVisible({timeout:400})) { await page.locator(vs).click(); break; } } catch {}\n }\n }\n await page.waitForTimeout(_verifyMs);\n if (await _cvSolved(_initUrl)) {\n console.log(\"[CaptchaVision] Solved round \" + (_r+1));\n _ok = true; break;\n }\n console.log(\"[CaptchaVision] Not solved, next round...\");\n }\n\n results[${JSON.stringify(id)}] = { success: _ok, rounds: _log, reason: _ok ? \"solved\" : \"max_rounds_exceeded\" };\n console.log(\"[CaptchaVision] Final: success=\" + _ok + \" rounds=\" + _log.length);\n}`;\n }\n\n default:\n return `\n// Block: Unknown type \"${(block as FlowBlock).type}\" [${id}]\nconsole.warn('Unknown block type: ${(block as FlowBlock).type}');`;\n }\n}\n\nexport function compileFlow(blocks: FlowBlock[]): string {\n const blockCode = blocks.map(compileBlock).join(\"\\n\");\n return `\n// ── Auto-generated Playwright flow ──────────────────────────────────────\nconst results = {};\n\n${blockCode}\n\nreturn results;\n`;\n}\n","deleted","label",[100],"permalink","https://www.val.town/x/adminh/browser_agent/code/executor.ts","extension","actionData","errors"]