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{ blob } from \"https://esm.town/v/std/blob\";\n\ninterface JobRun {\n runId?: string;\n}\n\ninterface Job {\n title?: string;\n company?: string;\n companyName?: string;\n description?: string;\n location?: string;\n link?: string;\n url?: string;\n jobUrl?: string;\n relevanceScore?: number;\n}\n\ninterface ApifyRunData {\n defaultDatasetId: string;\n status: string;\n}\n\nexport default async function () {\n const APIFY_TOKEN = Deno.env.get(\"APIFY_TOKEN\");\n const RESEND_KEY = Deno.env.get(\"RESEND_KEY\");\n\n const YOUR_EMAIL = \"eakas000@gmail.com\";\n\n if (!APIFY_TOKEN || !RESEND_KEY) {\n console.error(\n \"Missing APIFY_TOKEN or RESEND_KEY\",\n );\n return;\n }\n\n const stored = await blob.getJSON(\"latestJobRunId\") as JobRun;\n\n if (!stored?.runId) {\n console.log(\n \"No Apify run found.\",\n );\n return;\n }\n\n const runId = stored.runId;\n\n // -----------------------------------\n // Wait for Apify completion\n // -----------------------------------\n\n async function waitForApifyCompletion(\n runId: string,\n attempts = 20,\n delay = 30000,\n ): Promise {\n for (\n let attempt = 1;\n attempt <= attempts;\n attempt++\n ) {\n const response = await fetch(\n `https://api.apify.com/v2/actor-runs/${runId}?token=${APIFY_TOKEN}`,\n );\n\n if (!response.ok) {\n throw new Error(\n `Apify status check failed: ${response.status}`,\n );\n }\n\n const data = await response.json();\n\n const status = data.data?.status;\n\n console.log(\n `Apify status ${attempt}/${attempts}: ${status}`,\n );\n\n if (status === \"SUCCEEDED\") {\n return {\n defaultDatasetId: data.data.defaultDatasetId,\n status,\n };\n }\n\n if (\n status === \"FAILED\" ||\n status === \"ABORTED\" ||\n status === \"TIMED-OUT\"\n ) {\n throw new Error(\n `Apify failed with status: ${status}`,\n );\n }\n\n await new Promise((resolve) => setTimeout(resolve, delay));\n }\n\n throw new Error(\n \"Apify did not finish within timeout\",\n );\n }\n\n try {\n const completedRun = await waitForApifyCompletion(runId);\n\n const datasetId = completedRun.defaultDatasetId;\n\n // -----------------------------------\n // Fetch LinkedIn jobs\n // -----------------------------------\n\n const itemsRes = await fetch(\n `https://api.apify.com/v2/datasets/${datasetId}/items?token=${APIFY_TOKEN}`,\n );\n\n if (!itemsRes.ok) {\n console.error(\n \"Dataset fetch failed:\",\n itemsRes.status,\n await itemsRes.text(),\n );\n\n return;\n }\n\n const linkedinJobs = await itemsRes.json() as Job[];\n\n // -----------------------------------\n // Scoring configuration\n // -----------------------------------\n\n const titleKeywords = {\n high: [\n \"java\",\n \"spring boot\",\n \"spring\",\n \"angular\",\n \"full stack\",\n \"full-stack\",\n \"backend\",\n \"microservices\",\n ],\n\n medium: [\n \"software engineer\",\n \"sde\",\n \"developer\",\n \"engineer\",\n ],\n };\n\n const bodyKeywords = {\n high: [\n \"java\",\n \"spring boot\",\n \"angular\",\n \"microservices\",\n \"kafka\",\n \"oauth\",\n \"oidc\",\n \"jwt\",\n \"rest api\",\n \"soap\",\n ],\n\n medium: [\n \"typescript\",\n \"javascript\",\n \"rxjs\",\n \"kubernetes\",\n \"openshift\",\n \"jenkins\",\n \"ci/cd\",\n \"docker\",\n \"websocket\",\n ],\n\n low: [\n \"react\",\n \"node\",\n \"sql\",\n \"mysql\",\n \"postgresql\",\n \"aws\",\n \"agile\",\n \"jira\",\n ],\n };\n\n const domainBonusKeywords = [\n \"bfsi\",\n \"fintech\",\n \"banking\",\n \"financial services\",\n \"insurance\",\n \"payments\",\n \"trading\",\n ];\n\n const negativeKeywords = [\n \".net\",\n \"c#\",\n \"php\",\n \"ruby on rails\",\n \"ios native\",\n \"swift\",\n \"android native\",\n \"kotlin mobile\",\n \"golang lead\",\n \"rust\",\n \"scala\",\n \"sap abap\",\n \"salesforce developer\",\n ];\n\n const seniorityRedFlags = [\n \"10+ years\",\n \"8+ years\",\n \"7+ years\",\n \"staff engineer\",\n \"principal engineer\",\n \"architect\",\n \"engineering manager\",\n \"director of engineering\",\n \"vp of engineering\",\n ];\n\n function scoreJob(job: Job) {\n const title = (job.title ?? \"\")\n .toLowerCase();\n\n const description = (job.description ?? \"\")\n .toLowerCase();\n\n const company = (\n job.company ??\n job.companyName ??\n \"\"\n )\n .toLowerCase();\n\n const text = `${title} ${description} ${company}`;\n\n let score = 0;\n\n titleKeywords.high.forEach((k) => {\n if (title.includes(k)) {\n score += 5;\n }\n });\n\n titleKeywords.medium.forEach((k) => {\n if (title.includes(k)) {\n score += 2;\n }\n });\n\n bodyKeywords.high.forEach((k) => {\n if (text.includes(k)) {\n score += 3;\n }\n });\n\n bodyKeywords.medium.forEach((k) => {\n if (text.includes(k)) {\n score += 2;\n }\n });\n\n bodyKeywords.low.forEach((k) => {\n if (text.includes(k)) {\n score += 1;\n }\n });\n\n domainBonusKeywords.forEach((k) => {\n if (text.includes(k)) {\n score += 4;\n }\n });\n\n negativeKeywords.forEach((k) => {\n if (text.includes(k)) {\n score -= 6;\n }\n });\n\n seniorityRedFlags.forEach((k) => {\n if (text.includes(k)) {\n score -= 8;\n }\n });\n\n return score;\n }\n\n const MIN_SCORE = 6;\n\n const scoredJobs = linkedinJobs\n .map((job) => ({\n ...job,\n\n relevanceScore: scoreJob(job),\n }))\n .filter((job) =>\n (job.relevanceScore ?? 0) >=\n MIN_SCORE\n )\n .sort((a, b) =>\n (b.relevanceScore ?? 0) -\n (a.relevanceScore ?? 0)\n );\n\n // -----------------------------------\n // Remove duplicates\n // -----------------------------------\n\n const seen = new Set();\n\n const jobs = scoredJobs.filter((job) => {\n const key = `${job.title}-${job.company ?? job.companyName}`\n .toLowerCase();\n\n if (seen.has(key)) {\n return false;\n }\n\n seen.add(key);\n\n return true;\n });\n\n function escapeHtml(value: string) {\n return value\n .replaceAll(\"&\", \"&\")\n .replaceAll(\"<\", \"<\")\n .replaceAll(\">\", \">\")\n .replaceAll('\"', \""\");\n }\n\n // -----------------------------------\n // Build email\n // -----------------------------------\n\n let html = `\n

\n Job Matches - ${new Date().toDateString()}\n

\n `;\n\n if (jobs.length === 0) {\n html += \"

No matching jobs found.

\";\n } else {\n jobs.forEach((job) => {\n html += `\n\n

\n\n\n \n ${escapeHtml(job.title ?? \"Unknown\")}\n \n\n
\n\n Company:\n ${\n escapeHtml(\n job.company ??\n job.companyName ??\n \"Unknown\",\n )\n }\n\n
\n\n Location:\n ${\n escapeHtml(\n job.location ?? \"\",\n )\n }\n\n
\n\n Score:\n ${job.relevanceScore}\n\n\n
\n\n \n Apply\n \n\n\n

\n\n `;\n });\n }\n\n // -----------------------------------\n // Send email\n // -----------------------------------\n\n const emailRes = await fetch(\n \"https://api.resend.com/emails\",\n {\n method: \"POST\",\n\n headers: {\n Authorization: `Bearer ${RESEND_KEY}`,\n\n \"Content-Type\": \"application/json\",\n },\n\n body: JSON.stringify({\n from: \"onboarding@resend.dev\",\n\n to: YOUR_EMAIL,\n\n subject: `Job Matches - ${new Date().toDateString()}`,\n\n html,\n }),\n },\n );\n\n if (!emailRes.ok) {\n console.error(\n \"Email failed:\",\n await emailRes.text(),\n );\n\n return;\n }\n\n console.log(\n `Email sent. ${jobs.length} jobs`,\n );\n\n // Remove processed run\n await blob.delete(\n \"latestJobRunId\",\n );\n } catch (error) {\n console.error(\n \"Pipeline failed:\",\n error,\n );\n }\n}","import { blob } from \"https://esm.town/v/std/blob\";\n\ninterface JobRun {\n runId?: string;\n}\n\ninterface Job {\n title?: string;\n\n company?: string;\n\n companyName?: string;\n\n description?: string;\n\n location?: string;\n\n link?: string;\n\n url?: string;\n\n jobUrl?: string;\n\n relevanceScore?: number;\n}\n\nexport default async function () {\n const APIFY_TOKEN = Deno.env.get(\"APIFY_TOKEN\");\n\n const RESEND_KEY = Deno.env.get(\"RESEND_KEY\");\n\n const YOUR_EMAIL = \"eakas000@gmail.com\";\n\n if (!APIFY_TOKEN || !RESEND_KEY) {\n console.error(\n \"Missing APIFY_TOKEN or RESEND_KEY\",\n );\n\n return;\n }\n\n const stored = await blob.getJSON(\n \"latestJobRunId\",\n ) as JobRun;\n\n if (!stored?.runId) {\n console.log(\n \"No Apify run found\",\n );\n\n return;\n }\n\n const runId = stored.runId;\n\n try {\n // =====================================================\n // APIFY STATUS CHECK\n // Do not wait. Val timeout safe.\n // =====================================================\n\n const statusRes = await fetch(\n `https://api.apify.com/v2/actor-runs/${runId}`,\n {\n headers: {\n Authorization: `Bearer ${APIFY_TOKEN}`,\n },\n },\n );\n\n if (!statusRes.ok) {\n throw new Error(\n `Apify status failed: ${statusRes.status}`,\n );\n }\n\n const statusData = await statusRes.json();\n\n const status = statusData.data?.status;\n\n console.log(\n \"Apify status:\",\n status,\n );\n\n if (status !== \"SUCCEEDED\") {\n console.log(\n \"Apify still processing. Next cron run will retry.\",\n );\n\n return;\n }\n\n const datasetId = statusData.data.defaultDatasetId;\n\n // =====================================================\n // FETCH JOB DATA\n // =====================================================\n\n const itemsRes = await fetch(\n `https://api.apify.com/v2/datasets/${datasetId}/items?token=${APIFY_TOKEN}`,\n );\n\n if (!itemsRes.ok) {\n console.error(\n \"Dataset fetch failed:\",\n itemsRes.status,\n await itemsRes.text(),\n );\n\n return;\n }\n\n const linkedinJobs = await itemsRes.json() as Job[];\n\n // =====================================================\n // SCORING CONFIGURATION\n // Based on Eakas resume\n // =====================================================\n\n const titleKeywords = {\n excellent: [\n \"java engineer\",\n\n \"java developer\",\n\n \"spring boot\",\n\n \"full stack engineer\",\n\n \"full-stack engineer\",\n\n \"backend engineer\",\n\n \"microservices engineer\",\n\n \"software engineer\",\n\n \"application engineer\",\n\n \"api engineer\",\n ],\n\n good: [\n \"developer\",\n\n \"engineer\",\n\n \"sde\",\n\n \"angular developer\",\n\n \"frontend engineer\",\n ],\n };\n\n const skillKeywords = {\n excellent: [\n \"java\",\n\n \"spring boot\",\n\n \"microservices\",\n\n \"kafka\",\n\n \"angular\",\n\n \"typescript\",\n\n \"rest api\",\n\n \"oauth\",\n\n \"oidc\",\n\n \"jwt\",\n ],\n\n good: [\n \"docker\",\n\n \"kubernetes\",\n\n \"openshift\",\n\n \"jenkins\",\n\n \"ci/cd\",\n\n \"websocket\",\n\n \"mysql\",\n\n \"postgresql\",\n\n \"aws\",\n\n \"rxjs\",\n ],\n };\n\n const bfsKeywords = [\n \"bfsi\",\n\n \"banking\",\n\n \"finance\",\n\n \"fintech\",\n\n \"insurance\",\n\n \"payments\",\n\n \"trading\",\n ];\n\n const badStackKeywords = [\n \".net\",\n\n \"c#\",\n\n \"php\",\n\n \"ruby\",\n\n \"swift\",\n\n \"ios\",\n\n \"android\",\n\n \"salesforce\",\n\n \"sap abap\",\n ];\n\n const seniorKeywords = [\n \"senior\",\n\n \"lead\",\n\n \"principal\",\n\n \"staff\",\n\n \"architect\",\n\n \"manager\",\n\n \"director\",\n ];\n\n // =====================================================\n // EXPERIENCE FILTER\n // =====================================================\n\n function experiencePenalty(\n text: string,\n ) {\n let penalty = 0;\n\n const matches = text.match(\n /(\\d+)\\+?\\s*years?/gi,\n );\n\n if (matches) {\n matches.forEach((match) => {\n const years = parseInt(match);\n\n if (years >= 7) {\n penalty -= 20;\n } else if (years >= 5) {\n penalty -= 12;\n } else if (years >= 4) {\n penalty -= 5;\n }\n });\n }\n\n return penalty;\n }\n\n // =====================================================\n // JOB SCORE 0-10\n // =====================================================\n\n function scoreJob(\n job: Job,\n ): number {\n const title = (job.title ?? \"\")\n .toLowerCase();\n\n const description = (job.description ?? \"\")\n .toLowerCase();\n\n const text = `${title} ${description}`;\n\n let score = 0;\n\n titleKeywords.excellent\n .forEach((k) => {\n if (title.includes(k)) {\n score += 15;\n }\n });\n\n titleKeywords.good\n .forEach((k) => {\n if (title.includes(k)) {\n score += 7;\n }\n });\n\n skillKeywords.excellent\n .forEach((k) => {\n if (text.includes(k)) {\n score += 8;\n }\n });\n\n skillKeywords.good\n .forEach((k) => {\n if (text.includes(k)) {\n score += 3;\n }\n });\n\n bfsKeywords\n .forEach((k) => {\n if (text.includes(k)) {\n score += 5;\n }\n });\n\n badStackKeywords\n .forEach((k) => {\n if (text.includes(k)) {\n score -= 15;\n }\n });\n\n seniorKeywords\n .forEach((k) => {\n if (title.includes(k)) {\n score -= 12;\n }\n });\n\n score += experiencePenalty(text);\n\n let finalScore = Math.round(score / 10);\n\n if (finalScore < 0) {\n finalScore = 0;\n }\n\n if (finalScore > 10) {\n finalScore = 10;\n }\n\n return finalScore;\n }\n\n // =====================================================\n // APPLY SCORING\n // =====================================================\n\n const MIN_SCORE = 5;\n\n const scoredJobs = linkedinJobs\n .map((job) => ({\n ...job,\n\n relevanceScore: scoreJob(job),\n }))\n .filter((job) =>\n (job.relevanceScore ?? 0) >=\n MIN_SCORE\n )\n .sort((a, b) =>\n (b.relevanceScore ?? 0) -\n (a.relevanceScore ?? 0)\n );\n\n // =====================================================\n // REMOVE DUPLICATES\n // =====================================================\n\n const seen = new Set();\n\n const jobs = scoredJobs.filter((job) => {\n const key = `${job.title ?? \"\"}-${\n job.company ??\n job.companyName ??\n \"\"\n }`\n .toLowerCase();\n\n if (seen.has(key)) {\n return false;\n }\n\n seen.add(key);\n\n return true;\n });\n\n console.log(\n `Matching jobs after scoring: ${jobs.length}`,\n );\n\n // =====================================================\n // HTML ESCAPE\n // =====================================================\n\n function escapeHtml(\n value: string,\n ) {\n return value\n .replaceAll(\n \"&\",\n \"&\",\n )\n .replaceAll(\n \"<\",\n \"<\",\n )\n .replaceAll(\n \">\",\n \">\",\n )\n .replaceAll(\n '\"',\n \""\",\n );\n }\n\n // =====================================================\n // BUILD EMAIL\n // =====================================================\n\n let html = `\n\n\n

\n\n Java / Spring Boot / Angular Jobs\n\n (${new Date().toDateString()})\n\n

\n\n\n

\n\n Matching score:\n\n 0 = irrelevant\n\n |\n\n 10 = perfect match\n\n

\n\n\n `;\n\n if (jobs.length === 0) {\n html += `\n\n

\n\n No suitable jobs found today.\n\n

\n\n `;\n } else {\n jobs.forEach((job) => {\n html += `\n\n\n

\n\n\n

\n\n ${\n escapeHtml(\n job.title ?? \"Unknown role\",\n )\n }\n\n

\n\n\n\n \n\n Company:\n\n \n\n ${\n escapeHtml(\n job.company ??\n job.companyName ??\n \"Unknown\",\n )\n }\n\n\n

\n\n\n\n \n\n Location:\n\n \n\n\n ${\n escapeHtml(\n job.location ?? \"\",\n )\n }\n\n\n

\n\n\n\n \n\n Match Score:\n\n \n\n\n ${job.relevanceScore}/10\n\n\n\n

\n\n\n\n \n\n Apply Now\n\n \n\n\n\n

\n\n\n `;\n });\n }\n\n // =====================================================\n // SEND EMAIL THROUGH RESEND\n // =====================================================\n\n const emailRes = await fetch(\n \"https://api.resend.com/emails\",\n {\n method: \"POST\",\n\n headers: {\n Authorization: `Bearer ${RESEND_KEY}`,\n\n \"Content-Type\": \"application/json\",\n },\n\n body: JSON.stringify({\n from: \"onboarding@resend.dev\",\n\n to: YOUR_EMAIL,\n\n subject: `Java Jobs ${new Date().toDateString()}`,\n\n html,\n }),\n },\n );\n\n if (!emailRes.ok) {\n console.error(\n \"Email failed:\",\n emailRes.status,\n await emailRes.text(),\n );\n\n return;\n }\n\n console.log(\n `Email sent successfully. ${jobs.length} jobs found.`,\n );\n\n // =====================================================\n // DELETE PROCESSED RUN\n // =====================================================\n\n await blob.delete(\n \"latestJobRunId\",\n );\n } catch (error) {\n console.error(\n \"Pipeline failed:\",\n 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Diff · v9