[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_175":176,"_177":178},"routes/_app.x.$handle.$name",{"_97":96,"_32":45,"_105":85,"_27":106,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":118,"_119":120,"_121":25,"_122":123,"_124":49,"_125":-5,"_126":-5,"_127":128},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":31,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",2,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","2b8b40e4-27b0-11f0-aecd-569c3dd06744","name","fileType","http","content","import { versionLogger } from \"https://esm.town/v/willthereader/versionLoggger\";\n\nfunction App() {\n let url = \"\";\n let chapterTitles = \"\";\n let result = null;\n let loading = false;\n\n const handleSubmit = async (e) => {\n e.preventDefault();\n loading = true;\n updateUI();\n console.log(`Fetching threadmarks for URL: ${url}`);\n try {\n result = await fetchThreadmarksFromServer(url, chapterTitles);\n } catch (error) {\n console.log(`Error occurred while fetching threadmarks: ${error.message}`);\n result = { error: error.message };\n }\n loading = false;\n updateUI();\n };\n\n const updateUI = () => {\n const root = document.getElementById(\"root\");\n root.innerHTML = `\n

Threadmark Fetcher and Comparator

\n \n ${\n result\n ? `\n

Result:

\n ${\n result.error\n ? `\n

Error: ${result.error}

\n ${\n result.stack\n ? `\n

Error Details

${result.stack}

\n `\n : \"\"\n }\n

\n `\n : `\n

Correctly Retrieved (In Order):

${title}

\n \n

Retrieved Out of Order:

${\n item.expectedIndex === -1\n ? `${item.title} (Unexpected, found at position: ${item.foundIndex + 1})`\n : `${item.title} (Expected position: ${item.expectedIndex + 1}, Found position: ${\n item.foundIndex + 1\n })`\n }

Summary:

Total expected: ${result.totalExpected}
Total retrieved: ${result.totalRetrieved}
Correctly retrieved (in order): ${result.correctOrder.length}
Retrieved out of order: ${result.outOfOrder.length - result.unexpectedCount}
Unexpected threadmarks: ${result.unexpectedCount}
Not retrieved: ${result.notRetrievedCount}

\n \n

Chapter Titles Not Retrieved:

${title}

\n \n

All Retrieved Threadmarks:

\n ${threadmark.title}\n

\n `\n }\n

\n `\n : \"\"\n }\n

[\\s\\S]*?]*href=\"([^\"]*)\"[^>]*>([\\s\\S]*?)<\\/a>/g;\n let match;\n\n while ((match = regex.exec(data)) !== null) {\n const url = match[1];\n const title = match[2].replace(/<[^>]*>/g, \"\").trim();\n // console.log(`[DEBUG] Found threadmark - URL: ${url}, Title: ${title}`);\n threadmarks.push({ url, title });\n }\n\n console.log(`[INFO] Extracted ${threadmarks.length} threadmarks from the HTML data`);\n return threadmarks;\n}\n\nfunction compareThreadmarks(expectedTitles, retrievedThreadmarks) {\n const expectedTitlesArray = expectedTitles.split(\"\\n\").map(title => title.trim()).filter(title => title !== \"\");\n const retrievedTitles = retrievedThreadmarks.map(threadmark => threadmark.title);\n\n const correctOrder = [];\n const outOfOrder = [];\n let notRetrievedCount = expectedTitlesArray.length;\n const notRetrieved = [...expectedTitlesArray];\n let lastCorrectIndex = -1;\n\n retrievedTitles.forEach((title, index) => {\n const expectedIndex = expectedTitlesArray.indexOf(title);\n if (expectedIndex !== -1) {\n notRetrievedCount--;\n if (expectedIndex > lastCorrectIndex) {\n correctOrder.push(title);\n lastCorrectIndex = expectedIndex;\n notRetrieved.splice(notRetrieved.indexOf(title), 1);\n } else {\n outOfOrder.push({ title, expectedIndex, foundIndex: index });\n }\n } else {\n outOfOrder.push({ title, expectedIndex: -1, foundIndex: index });\n }\n });\n\n return {\n correctOrder,\n outOfOrder,\n notRetrievedCount,\n allThreadmarks: retrievedThreadmarks,\n totalExpected: expectedTitlesArray.length,\n totalRetrieved: retrievedTitles.length,\n notRetrieved,\n unexpectedCount: retrievedTitles.length\n - (correctOrder.length + outOfOrder.length - (outOfOrder.filter(item => item.expectedIndex === -1).length)),\n };\n}\n\nfunction client() {\n console.log(\"Initializing client-side application\");\n const app = App();\n app.updateUI();\n}\n\nif (typeof document !== \"undefined\") {\n client();\n}\n\nexport default async function server(request) {\n console.log(`Received ${request.method} request for path: ${new URL(request.url).pathname}`);\n\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/api/threadmarks\") {\n const apiKey = Deno.env.get(\"ScrapingBeeAPIkey\");\n if (!apiKey) {\n console.error(\"[ERROR] API key not found in environment variables\");\n return new Response(JSON.stringify({ error: \"API key not found in environment variables\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n try {\n const { url, chapterTitles } = await request.json();\n console.log(`[INFO] Received request to fetch threadmarks for URL: ${url}`);\n const threadmarks = await getThreadmarkUrls(url, apiKey);\n console.log(`[INFO] Retrieved ${threadmarks.length} threadmarks`);\n\n try {\n const comparisonResult = compareThreadmarks(chapterTitles, threadmarks);\n console.log(`[INFO] Comparison completed`);\n\n return new Response(JSON.stringify(comparisonResult), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (comparisonError) {\n console.error(\"[ERROR] Error in threadmark comparison:\");\n console.error(`[ERROR] Error name: ${comparisonError.name}`);\n console.error(`[ERROR] Error message: ${comparisonError.message}`);\n console.error(`[DEBUG] Error stack: ${comparisonError.stack}`);\n throw comparisonError; // Re-throw to be caught by the outer catch block\n }\n } catch (error) {\n console.error(\"[ERROR] Error in threadmark fetching or comparison:\");\n console.error(`[ERROR] Error name: ${error.name}`);\n console.error(`[ERROR] Error message: ${error.message}`);\n console.error(`[DEBUG] Error stack: ${error.stack}`);\n return new Response(\n JSON.stringify({\n error: `Error fetching threadmarks: ${error.message}`,\n stack: error.stack,\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n console.log(\"[INFO] Serving HTML page\");\n return new Response(\n `\n \n \n \n \n \n Threadmark Fetcher and Comparator\n \n \n \n

Threadmark Fetcher and Comparator

\n \n ${\n result\n ? `\n

Result:

\n ${\n result.error\n ? `\n

Error: ${result.error}

\n ${\n result.stack\n ? `\n

Error Details

${result.stack}

\n `\n : \"\"\n }\n

\n `\n : `\n

Correctly Retrieved (In Order):

${title}

\n \n

Retrieved Out of Order:

${\n item.expectedIndex === -1\n ? `${item.title} (Unexpected, found at position: ${item.foundIndex + 1})`\n : `${item.title} (Expected position: ${item.expectedIndex + 1}, Found position: ${\n item.foundIndex + 1\n })`\n }

Summary:

Total expected: ${result.totalExpected}
Total retrieved: ${result.totalRetrieved}
Correctly retrieved (in order): ${result.correctOrder.length}
Retrieved out of order: ${result.outOfOrder.length - result.unexpectedCount}
Unexpected threadmarks: ${result.unexpectedCount}
Not retrieved: ${result.notRetrievedCount}

\n \n

Chapter Titles Not Retrieved:

${title}

\n \n

All Retrieved Threadmarks:

\n ${threadmark.title}\n

\n `\n }\n

\n `\n : \"\"\n }\n

\n `;\n\n document.getElementById(\"threadmarkForm\").addEventListener(\"submit\", handleSubmit);\n document.getElementById(\"urlInput\").addEventListener(\"input\", (e) => {\n url = e.target.value;\n });\n document.getElementById(\"chapterTitlesInput\").addEventListener(\"input\", (e) => {\n chapterTitles = e.target.value;\n });\n };\n\n return { updateUI };\n}\n\nasync function fetchThreadmarksFromServer(url, chapterTitles) {\n const response = await fetch(\"/api/threadmarks\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ url, chapterTitles }),\n });\n const data = await response.json();\n if (!response.ok) {\n throw new Error(data.error || `HTTP error! status: ${response.status}`);\n }\n return data;\n}\n\nasync function getThreadmarkUrls(baseUrl, apiKey) {\n versionLogger(import.meta.url);\n console.log(`[START] Threadmark URL fetch for base URL: ${baseUrl}`);\n const startTime = Date.now();\n\n const categories = [1]; // Only testing category 1 (threadmarks)\n let allThreadmarks = [];\n\n for (const category of categories) {\n try {\n const threadmarkUrl = `${baseUrl}/threadmarks?hide_wrapper=1&display=embedded&threadmark_category=${category}`;\n console.log(`[INFO] Constructing URL for category ${category}: ${threadmarkUrl}`);\n\n const jsScenario = {\n instructions: [\n { wait_for: \".structItem-cell--main[data-xf-click=\\\"threadmark-fetcher\\\"]\" },\n { click: \".structItem-cell--main[data-xf-click=\\\"threadmark-fetcher\\\"]\" },\n { wait: 2000 },\n {\n evaluate: `\n function clickNextThreadmarkButton() {\n const buttons = document.querySelectorAll('.structItem-cell--main[data-xf-click=\"threadmark-fetcher\"]');\n console.log(\\`Found \\${buttons.length} threadmark buttons\\`);\n if (buttons.length > 0) {\n console.log(\\`Clicking button: \\${buttons[0].getAttribute('data-fetchurl')}\\`);\n buttons[0].click();\n return true;\n }\n console.log('No more buttons to click');\n return false;\n }\n\n let attempts = 0;\n const maxAttempts = 20; // Increased from 10 to 20\n \n function attemptClick() {\n console.log(\\`Attempt \\${attempts + 1} started\\`);\n if (attempts < maxAttempts) {\n if (clickNextThreadmarkButton()) {\n attempts++;\n console.log(\\`Attempt \\${attempts}: Clicked a button, waiting 3 seconds...\\`);\n setTimeout(() => {\n console.log(\\`Total threadmarks after click: \\${document.querySelectorAll('.structItem-title.threadmark_depth0').length}\\`);\n attemptClick();\n }, 3000);\n } else {\n console.log('No more buttons to click, ending attempts');\n }\n } else {\n console.log(\\`Reached maximum attempts (\\${maxAttempts})\\`);\n }\n console.log(\\`Total threadmarks found: \\${document.querySelectorAll('.structItem-title.threadmark_depth0').length}\\`);\n }\n\n console.log('Starting to click threadmark buttons');\n attemptClick();\n\n // Verify selectors\n console.log('Verifying selectors:');\n console.log(\\`Threadmark buttons: \\${document.querySelectorAll('.structItem-cell--main[data-xf-click=\"threadmark-fetcher\"]').length}\\`);\n console.log(\\`Threadmark titles: \\${document.querySelectorAll('.structItem-title.threadmark_depth0').length}\\`);\n console.log(\\`Hidden threadmarks indicator: \\${document.querySelectorAll('.structItem--threadmark-filler').length}\\`);\n\n // Log page structure\n console.log('Page structure:');\n console.log(document.body.innerHTML);\n`,\n },\n ],\n };\n\n const scrapingBeeUrl = `https://app.scrapingbee.com/api/v1/?api_key=${apiKey}&url=${\n encodeURIComponent(threadmarkUrl)\n }&render_js=true&block_resources=false&wait_for=.structItem-cell--main[data-xf-click=\"threadmark-fetcher\"]&js_scenario=${\n encodeURIComponent(JSON.stringify(jsScenario))\n }`;\n console.log(`[INFO] Sending GET request to ScrapingBee API for category ${category}`);\n console.log(`[DEBUG] JS Scenario: ${JSON.stringify(jsScenario, null, 2)}`);\n\n const requestStartTime = Date.now();\n const response = await fetch(scrapingBeeUrl);\n console.log(\n `Response received. Status: ${response.status}, Headers: ${\n JSON.stringify(Object.fromEntries(response.headers))\n }`,\n );\n console.log(\n `[INFO] Received response for category ${category} in ${\n Date.now() - requestStartTime\n } ms. Status: ${response.status}`,\n );\n console.log(`[DEBUG] Response headers: ${JSON.stringify(Object.fromEntries(response.headers), null, 2)}`);\n const requestDuration = Date.now() - requestStartTime;\n console.log(\n `[INFO] Received response for category ${category} in ${requestDuration} ms. Status: ${response.status}`,\n );\n\n console.log(\n `[DEBUG] Response headers for category ${category}: ${\n JSON.stringify(Object.fromEntries(response.headers), null, 2)\n }`,\n );\n\n if (!response.ok) {\n const errorBody = await response.text();\n console.error(\n `[ERROR] Server error for category ${category}. Status: ${response.status}, Response body: ${errorBody}`,\n );\n throw new Error(`Server error: ${response.status} - ${errorBody}`);\n }\n\n const data = await response.text();\n console.log(\n `Raw data received. Length: ${data.length}, First 500 chars: ${data.slice(0, 500)}, Last 500 chars: ${\n data.slice(-500)\n }`,\n );\n console.log(`[INFO] Data received for category ${category}. Length: ${data.length} characters`);\n\n if (data.length === 0) {\n console.error(`[ERROR] Received empty response for category ${category}`);\n throw new Error(\"Received empty response from server\");\n }\n\n console.log(`[DEBUG] Raw data snippet for category ${category}: ${data.slice(0, 2000)}...`);\n console.log(`[DEBUG] Last part of raw data: ${data.slice(-2000)}`);\n console.log(`[DEBUG] Total data length: ${data.length}`);\n console.log(`[DEBUG] Checking for pagination: ${data.includes(\"pagination\") ? \"Found\" : \"Not found\"}`);\n\n const threadmarks = parseThreadmarks(data);\n console.log(\n `Parsed ${threadmarks.length} threadmarks. First: ${JSON.stringify(threadmarks[0])}, Last: ${\n JSON.stringify(threadmarks[threadmarks.length - 1])\n }`,\n );\n console.log(`[INFO] Parsed ${threadmarks.length} threadmarks from category ${category}`);\n if (threadmarks.length > 0) {\n console.log(`[DEBUG] First 3 threadmarks: ${JSON.stringify(threadmarks.slice(0, 3), null, 2)}`);\n } else {\n console.log(`[WARN] No threadmarks found in category ${category}`);\n }\n console.log(`[INFO] Parsed ${threadmarks.length} threadmarks from category ${category}`);\n\n if (threadmarks.length === 0) {\n console.warn(`[WARN] No threadmarks found in category ${category}`);\n } else {\n console.log(\n `[INFO] First 3 threadmarks from category ${category}: ${JSON.stringify(threadmarks.slice(0, 3), null, 2)}`,\n );\n }\n\n allThreadmarks = allThreadmarks.concat(threadmarks);\n } catch (error) {\n console.error(`[ERROR] Exception during fetching or parsing for category ${category}:`);\n console.error(`[ERROR] Error name: ${error.name}`);\n console.error(`[ERROR] Error message: ${error.message}`);\n console.error(`[DEBUG] Error stack: ${error.stack}`);\n throw error; // Re-throw the error to be caught by the caller\n }\n }\n\n const totalDuration = Date.now() - startTime;\n console.log(\n `[END] Finished fetching threadmarks for all categories in ${totalDuration} ms. Total threadmarks found: ${allThreadmarks.length}`,\n );\n\n if (allThreadmarks.length > 0) {\n console.log(`[INFO] First 3 threadmarks overall: ${JSON.stringify(allThreadmarks.slice(0, 3), null, 2)}`);\n return allThreadmarks;\n } else {\n console.warn(`[WARN] No threadmarks found across all categories`);\n throw new Error(\"No threadmarks found\");\n }\n}\n\nfunction parseThreadmarks(data) {\n console.log(`[INFO] Starting to parse threadmarks from HTML data. Total data length: ${data.length}`);\n const threadmarks = [];\n const regex = /

[\\s\\S]*?]*href=\"([^\"]*)\"[^>]*>([\\s\\S]*?)<\\/a>/g;\n let match;\n let count = 0;\n\n while ((match = regex.exec(data)) !== null) {\n // console.log(`Matched threadmark: ${match[2].replace(/<[^>]*>/g, \"\").trim()} at position ${match.index}`);\n count++;\n const url = match[1];\n const title = match[2].replace(/<[^>]*>/g, \"\").trim();\n threadmarks.push({ url, title });\n if (count % 100 === 0) {\n console.log(`[INFO] Processed ${count} threadmarks so far`);\n }\n }\n\n console.log(`[INFO] Extracted ${threadmarks.length} threadmarks from the HTML data`);\n console.log(`[DEBUG] First threadmark: ${JSON.stringify(threadmarks[0])}`);\n console.log(`[DEBUG] Last threadmark: ${JSON.stringify(threadmarks[threadmarks.length - 1])}`);\n return threadmarks;\n}\n\nfunction compareThreadmarks(expectedTitles, retrievedThreadmarks) {\n const expectedTitlesArray = expectedTitles.split(\"\\n\").map(title => title.trim()).filter(title => title !== \"\");\n const retrievedTitles = retrievedThreadmarks.map(threadmark => threadmark.title);\n\n const correctOrder = [];\n const outOfOrder = [];\n let notRetrievedCount = expectedTitlesArray.length;\n const notRetrieved = [...expectedTitlesArray];\n let lastCorrectIndex = -1;\n\n retrievedTitles.forEach((title, index) => {\n const expectedIndex = expectedTitlesArray.indexOf(title);\n if (expectedIndex !== -1) {\n notRetrievedCount--;\n if (expectedIndex > lastCorrectIndex) {\n correctOrder.push(title);\n lastCorrectIndex = expectedIndex;\n notRetrieved.splice(notRetrieved.indexOf(title), 1);\n } else {\n outOfOrder.push({ title, expectedIndex, foundIndex: index });\n }\n } else {\n outOfOrder.push({ title, expectedIndex: -1, foundIndex: index });\n }\n });\n\n return {\n correctOrder,\n outOfOrder,\n notRetrievedCount,\n allThreadmarks: retrievedThreadmarks,\n totalExpected: expectedTitlesArray.length,\n totalRetrieved: retrievedTitles.length,\n notRetrieved,\n unexpectedCount: retrievedTitles.length\n - (correctOrder.length + outOfOrder.length - (outOfOrder.filter(item => item.expectedIndex === -1).length)),\n };\n}\n\nfunction client() {\n console.log(\"Initializing client-side application\");\n const app = App();\n app.updateUI();\n}\n\nif (typeof document !== \"undefined\") {\n client();\n}\n\nexport default async function server(request) {\n console.log(`Received ${request.method} request for path: ${new URL(request.url).pathname}`);\n\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/api/threadmarks\") {\n const apiKey = Deno.env.get(\"ScrapingBeeAPIkey\");\n if (!apiKey) {\n console.error(\"[ERROR] API key not found in environment variables\");\n return new Response(JSON.stringify({ error: \"API key not found in environment variables\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n try {\n const { url, chapterTitles } = await request.json();\n console.log(`[INFO] Received request to fetch threadmarks for URL: ${url}`);\n const threadmarks = await getThreadmarkUrls(url, apiKey);\n console.log(`[INFO] Retrieved ${threadmarks.length} threadmarks`);\n\n try {\n const comparisonResult = compareThreadmarks(chapterTitles, threadmarks);\n console.log(`[INFO] Comparison completed`);\n\n return new Response(JSON.stringify(comparisonResult), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (comparisonError) {\n console.error(\"[ERROR] Error in threadmark comparison:\");\n console.error(`[ERROR] Error name: ${comparisonError.name}`);\n console.error(`[ERROR] Error message: ${comparisonError.message}`);\n console.error(`[DEBUG] Error stack: ${comparisonError.stack}`);\n throw comparisonError; // Re-throw to be caught by the outer catch block\n }\n } catch (error) {\n console.error(\"[ERROR] Error in threadmark fetching or comparison:\");\n console.error(`[ERROR] Error name: ${error.name}`);\n console.error(`[ERROR] Error message: ${error.message}`);\n console.error(`[DEBUG] Error stack: ${error.stack}`);\n return new Response(\n JSON.stringify({\n error: `Error fetching threadmarks: ${error.message}`,\n stack: error.stack,\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n console.log(\"[INFO] Serving HTML page\");\n return new Response(\n `\n \n \n \n \n \n Threadmark Fetcher and Comparator\n \n \n \n

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}\n\nconst CSS = `\nbody {\n font-family: Arial, sans-serif;\n max-width: 800px;\n margin: 0 auto;\n padding: 20px;\n}\ninput[type=\"url\"], textarea {\n width: 100%;\n padding: 10px;\n margin-bottom: 10px;\n}\nbutton {\n padding: 10px 20px;\n}\npre {\n background-color: #f4f4f4;\n padding: 10px;\n border-radius: 5px;\n white-space: pre-wrap;\n word-wrap: 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Diff · v2