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{ CodeConnectJSON } from '../connect/figma_connect'\nimport { logger, underline, highlight, warn } from '../common/logging'\nimport { getApiUrl, getHeaders } from './figma_rest_api'\nimport { exitWithFeedbackMessage } from './helpers'\nimport { parseFigmaNode } from './validation'\nimport { isFetchError, request } from '../common/fetch'\n\nconst COMPONENT_BROWSER_CONFLICT_REASON = 'Code Connect UI mapping already exists'\n\nconst RETRY_DELAYS_MS = [5_000, 15_000, 30_000]\n\nasync function postWithRetry<T>(\n  apiUrl: string,\n  batch: CodeConnectJSON[],\n  accessToken: string,\n  useOAuth = false,\n): Promise<{ data: T }> {\n  for (let attempt = 0; attempt <= RETRY_DELAYS_MS.length; attempt++) {\n    try {\n      return await request.post<T>(apiUrl, batch, { headers: getHeaders(accessToken, useOAuth) })\n    } catch (err) {\n      if (isFetchError(err) && (err.response.status === 429 || err.response.status >= 500)) {\n        if (attempt === RETRY_DELAYS_MS.length) {\n          throw err\n        }\n        const retryAfterSec = err.response.headers.get('Retry-After')\n        const delayMs = retryAfterSec\n          ? parseInt(retryAfterSec, 10) * 1_000\n          : RETRY_DELAYS_MS[attempt]\n        logger.warn(\n          `Received ${err.response.status}, retrying in ${delayMs / 1000}s (attempt ${attempt + 1}/${RETRY_DELAYS_MS.length})...`,\n        )\n        await new Promise((resolve) => setTimeout(resolve, delayMs))\n      } else {\n        throw err\n      }\n    }\n  }\n  throw new Error('Unreachable')\n}\n\ninterface Args {\n  accessToken: string\n  useOAuth?: boolean\n  docs: CodeConnectJSON[]\n  batchSize?: number\n  verbose: boolean\n  apiUrl?: string\n  force?: boolean\n}\n\ninterface UploadResponse {\n  status: number\n  error: boolean\n  meta: {\n    success: boolean\n    published_count: number\n    failed_count: number\n    published_nodes: Array<{ figmaNode: string; label: string }>\n    failed_nodes: Array<{ figmaNode: string; label: string; reason: string }>\n  }\n}\n\n/**\n * Returns a string representation of the code connect JSON\n * @param doc - The code connect JSON\n * @returns A string representation of the code connect JSON\n */\nfunction codeConnectStr(doc: CodeConnectJSON): string {\n  return `${highlight(doc.component ?? '')}${doc.variant ? `(${Object.entries(doc.variant).map(([key, value]) => `${key}=${value}`)})` : ''} ${underline(doc.figmaNode)}`\n}\n\n/**\n * Extracts the fileKey and nodeId from the Figma node URL and returns a key in the format of fileKey-nodeId\n * @param figmaNode - The Figma node URL\n * @returns The key in the format of fileKey-nodeId\n */\nfunction getKeyFromFigmaNode(figmaNode: string): string {\n  const url = new URL(figmaNode)\n\n  // Extract fileKey from path (after /file/ or /design/)\n  const pathMatch = url.pathname.match(/\\/(file|design)\\/([A-Za-z0-9]+)/)\n  const fileKey = pathMatch ? pathMatch[2] : ''\n\n  // Extract nodeId from query parameter and convert format (1-24 -> 1:24)\n  const nodeIdParam = url.searchParams.get('node-id') || ''\n  const nodeId = nodeIdParam.replace(/-/g, ':')\n\n  return `${fileKey}-${nodeId}`\n}\n\n/**\n * Creates a map from fileKey-nodeId to original docs for easy lookup\n */\nexport function createDocsMap(\n  docs: CodeConnectJSON[],\n  verbose: boolean,\n): Map<string, CodeConnectJSON[]> {\n  const docsMap = new Map<string, CodeConnectJSON[]>()\n\n  for (const doc of docs) {\n    const parsedData = parseFigmaNode(verbose, doc)\n    if (!parsedData) {\n      continue\n    }\n\n    const mapKey = `${parsedData.fileKey}-${parsedData.nodeId}`\n    if (!docsMap.has(mapKey)) {\n      docsMap.set(mapKey, [])\n    }\n\n    docsMap.get(mapKey)?.push(doc)\n  }\n\n  return docsMap\n}\n\nexport async function upload({\n  accessToken,\n  useOAuth = false,\n  docs,\n  batchSize,\n  verbose,\n  apiUrl: apiUrlOverride,\n  force,\n}: Args) {\n  const apiUrl =\n    getApiUrl(docs?.[0]?.figmaNode ?? '', apiUrlOverride) +\n    '/code_connect' +\n    (force ? '?force=true' : '')\n\n  // Strip internal fields before uploading to Figma\n  const cleanedDocs = docs.map((doc) => {\n    const { _codeConnectFilePath, ...cleanDoc } = doc\n    return cleanDoc as CodeConnectJSON\n  })\n\n  try {\n    logger.info(`Uploading to Figma...`)\n\n    // Create a map from fileKey-nodeId to original docs for detailed output\n    const docsMap = createDocsMap(cleanedDocs, verbose)\n\n    let allUploadedNodes = new Set<string>()\n    let allFailedNodes = new Map<string, string>() // key -> failure reason\n\n    if (batchSize) {\n      if (typeof batchSize !== 'number') {\n        logger.error('Batch size must be a number')\n        exitWithFeedbackMessage(1)\n      }\n\n      // batch together based on fileKey + nodeId as all variants etc of the same node should be uploaded together\n      // Otherwise, the server will overwrite the previous upload\n      const groupedDocs = cleanedDocs.reduce(\n        (acc, doc) => {\n          const parsedData = parseFigmaNode(verbose, doc)\n\n          if (!parsedData) {\n            exitWithFeedbackMessage(1)\n          }\n\n          const { fileKey, nodeId } = parsedData\n          const accKey = fileKey + ',' + nodeId\n          if (!acc[accKey]) {\n            acc[accKey] = []\n          }\n          acc[accKey].push(doc)\n          return acc\n        },\n        {} as Record<string, CodeConnectJSON[]>,\n      )\n\n      const batchedDocs: CodeConnectJSON[][] = []\n      const nodeKeys = Object.keys(groupedDocs)\n\n      for (let i = 0; i < nodeKeys.length; i += batchSize) {\n        const batch: CodeConnectJSON[] = []\n        for (let j = i; j < i + batchSize && j < nodeKeys.length; j++) {\n          const nodeKey = nodeKeys[j]\n          batch.push(...groupedDocs[nodeKey])\n        }\n        batchedDocs.push(batch)\n      }\n\n      let currentBatch = 1\n      const noOfBatches = batchedDocs.length\n      for (const batch of batchedDocs) {\n        process.stderr.write('\\x1b[2K\\x1b[0G')\n        process.stderr.write(`Uploading batch ${currentBatch}/${noOfBatches}`)\n\n        var size = Buffer.byteLength(JSON.stringify(batch)) / (1024 * 1024)\n\n        // Server has a limit of 5mb\n        if (size > 5) {\n          logger.error(\n            `Failed to upload to Figma: The request is too large (${size.toFixed(2)}mb).`,\n          )\n          logger.error(\n            'Please try reducing the size of uploads by splitting them into smaller requests by running again and decreasing the --batch-size parameter.',\n          )\n          exitWithFeedbackMessage(1)\n        }\n\n        logger.debug(`Uploading ${size.toFixed(2)}mb to Figma`)\n\n        const response = await postWithRetry<UploadResponse>(apiUrl, batch, accessToken, useOAuth)\n\n        const data = response.data\n\n        if (data.meta?.published_nodes) {\n          data.meta.published_nodes.forEach((node) =>\n            allUploadedNodes.add(getKeyFromFigmaNode(node.figmaNode)),\n          )\n        }\n        if (data.meta?.failed_nodes) {\n          data.meta.failed_nodes.forEach((node) =>\n            allFailedNodes.set(getKeyFromFigmaNode(node.figmaNode), node.reason),\n          )\n        }\n\n        currentBatch++\n      }\n      process.stderr.write(`\\n`)\n    } else {\n      var size = Buffer.byteLength(JSON.stringify(cleanedDocs)) / (1024 * 1024)\n\n      // Server has a limit of 5mb\n      if (size > 5) {\n        logger.error(`Failed to upload to Figma: The request is too large (${size.toFixed(2)}mb).`)\n        logger.error(\n          'Please try reducing the size of uploads by splitting them into smaller requests by running again with the --batch-size parameter. You can do also this by running on different subdirectories using the --dir flag or by iteratively adjusting the includes field in the configuration.',\n        )\n        exitWithFeedbackMessage(1)\n      }\n\n      logger.debug(`Uploading ${size.toFixed(2)}mb to Figma`)\n      logger.info(`Uploading to ${apiUrl}`)\n\n      const response = await postWithRetry<UploadResponse>(\n        apiUrl,\n        cleanedDocs,\n        accessToken,\n        useOAuth,\n      )\n\n      const data = response.data\n\n      if (data.meta?.published_nodes) {\n        data.meta.published_nodes.forEach((node) =>\n          allUploadedNodes.add(getKeyFromFigmaNode(node.figmaNode)),\n        )\n      }\n      if (data.meta?.failed_nodes) {\n        data.meta.failed_nodes.forEach((node) =>\n          allFailedNodes.set(getKeyFromFigmaNode(node.figmaNode), node.reason),\n        )\n      }\n    }\n\n    // Separate successful and failed uploads\n    const successfulDocsByLabel: Record<string, CodeConnectJSON[]> = {}\n    const failedDocsByLabel: Record<string, Array<{ doc: CodeConnectJSON; reason: string }>> = {}\n\n    for (const [mapKey, nodeDocs] of docsMap.entries()) {\n      for (const doc of nodeDocs) {\n        const label = doc.label\n        const docKey = getKeyFromFigmaNode(doc.figmaNode)\n        const isUploaded = allUploadedNodes.has(docKey)\n        const failureReason = allFailedNodes.get(docKey)\n\n        if (isUploaded) {\n          if (!successfulDocsByLabel[label]) {\n            successfulDocsByLabel[label] = []\n          }\n          successfulDocsByLabel[label].push(doc)\n        } else if (failureReason) {\n          if (!failedDocsByLabel[label]) {\n            failedDocsByLabel[label] = []\n          }\n          failedDocsByLabel[label].push({ doc, reason: failureReason })\n        }\n      }\n    }\n\n    for (const [label, docs] of Object.entries(successfulDocsByLabel)) {\n      logger.info(\n        `Successfully uploaded to Figma, for ${label}:\\n${docs.map((doc) => `-> ${codeConnectStr(doc)}`).join('\\n')}`,\n      )\n    }\n\n    if (Object.keys(failedDocsByLabel).length > 0) {\n      let hasComponentBrowserConflicts = false\n      for (const [label, failedItems] of Object.entries(failedDocsByLabel)) {\n        const conflicts = failedItems.filter((item) =>\n          item.reason.includes(COMPONENT_BROWSER_CONFLICT_REASON),\n        )\n        const otherFailures = failedItems.filter(\n          (item) => !item.reason.includes(COMPONENT_BROWSER_CONFLICT_REASON),\n        )\n\n        if (conflicts.length > 0) {\n          hasComponentBrowserConflicts = true\n          logger.warn(\n            warn(\n              `Warning: ${conflicts.length} node(s) already have UI-created Code Connect mappings in Figma for label \"${label}\":\\n${conflicts.map((item) => `-> ${codeConnectStr(item.doc)}`).join('\\n')}`,\n            ),\n          )\n        }\n\n        if (otherFailures.length > 0) {\n          logger.error(\n            `Failed to upload to Figma, for ${label}:\\n${otherFailures.map((item) => `-> ${codeConnectStr(item.doc)} (${item.reason})`).join('\\n')}`,\n          )\n        }\n      }\n\n      if (hasComponentBrowserConflicts && !force) {\n        logger.warn(\n          warn(\n            `Re-run with --force to overwrite the existing UI-created mappings with your Code Connect files.`,\n          ),\n        )\n      }\n    }\n  } catch (err) {\n    if (isFetchError(err)) {\n      if (err.response) {\n        logger.error(\n          `Failed to upload to Figma (${err.response.status}): ${err.response.status} ${err.data?.message}`,\n        )\n      } else {\n        logger.error(`Failed to upload to Figma: ${err.message}`)\n      }\n      logger.debug(JSON.stringify(err?.data))\n    } else {\n      logger.error(`Failed to upload to Figma: ${err}`)\n    }\n    exitWithFeedbackMessage(1)\n  }\n}\n"]}