[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_154":155,"_156":157},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_104":85,"_27":53,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":25,"_121":-5,"_122":-5,"_123":124},"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":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":25},"version",8,"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.ts","latestPath","fileId","60d68b26-892c-11f1-8918-1607ee4eb77e","name","fileType","interval","content","import { blob } from \"https://esm.town/v/std/blob\";\n\n\ninterface JobRun {\n runId?: string;\n}\n\n\ninterface Job {\n\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\n\n\nexport default async function () {\n\n\n const APIFY_TOKEN =\n Deno.env.get(\"APIFY_TOKEN\");\n\n\n const RESEND_KEY =\n Deno.env.get(\"RESEND_KEY\");\n\n\n const YOUR_EMAIL =\n \"eakas000@gmail.com\";\n\n\n\n if (!APIFY_TOKEN || !RESEND_KEY) {\n\n console.error(\n \"Missing APIFY_TOKEN or RESEND_KEY\"\n );\n\n return;\n\n }\n\n\n\n const stored =\n await blob.getJSON(\n \"latestJobRunId\"\n ) as JobRun;\n\n\n\n if (!stored?.runId) {\n\n console.log(\n \"No Apify run found\"\n );\n\n return;\n\n }\n\n\n\n const runId =\n stored.runId;\n\n\n\n try {\n\n\n // =====================================================\n // APIFY STATUS CHECK\n // Do not wait. Val timeout safe.\n // =====================================================\n\n\n const statusRes =\n await fetch(\n\n `https://api.apify.com/v2/actor-runs/${runId}`,\n\n {\n\n headers: {\n\n Authorization:\n `Bearer ${APIFY_TOKEN}`\n\n }\n\n }\n\n );\n\n\n\n if (!statusRes.ok) {\n\n throw new Error(\n\n `Apify status failed: ${statusRes.status}`\n\n );\n\n }\n\n\n\n const statusData =\n await statusRes.json();\n\n\n\n const status =\n statusData.data?.status;\n\n\n\n console.log(\n \"Apify status:\",\n status\n );\n\n\n\n if (status !== \"SUCCEEDED\") {\n\n\n console.log(\n\n \"Apify still processing. Next cron run will retry.\"\n\n );\n\n\n return;\n\n }\n\n\n\n const datasetId =\n statusData.data.defaultDatasetId;\n\n\n\n // =====================================================\n // FETCH JOB DATA\n // =====================================================\n\n\n const itemsRes =\n await fetch(\n\n `https://api.apify.com/v2/datasets/${datasetId}/items?token=${APIFY_TOKEN}`\n\n );\n\n\n\n if (!itemsRes.ok) {\n\n\n console.error(\n\n \"Dataset fetch failed:\",\n\n itemsRes.status,\n\n await itemsRes.text()\n\n );\n\n\n return;\n\n }\n\n\n\n const linkedinJobs =\n await itemsRes.json() as Job[];\n\n\n\n\n\n // =====================================================\n // SCORING CONFIGURATION\n // Based on Eakas resume\n // =====================================================\n\n\n const titleKeywords = {\n\n\n excellent: [\n\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\n\n\n good: [\n\n \"developer\",\n\n \"engineer\",\n\n \"sde\",\n\n \"angular developer\",\n\n \"frontend engineer\"\n\n ]\n\n\n };\n\n\n\n\n const skillKeywords = {\n\n\n excellent: [\n\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\n\n\n good: [\n\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\n };\n\n\n\n\n const bfsKeywords = [\n\n \"bfsi\",\n\n \"banking\",\n\n \"finance\",\n\n \"fintech\",\n\n \"insurance\",\n\n \"payments\",\n\n \"trading\"\n\n ];\n\n\n\n\n const badStackKeywords = [\n\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\n\n\n\n const seniorKeywords = [\n\n \"senior\",\n\n \"lead\",\n\n \"principal\",\n\n \"staff\",\n\n \"architect\",\n\n \"manager\",\n\n \"director\"\n\n ];\n\n\n\n\n\n // =====================================================\n // EXPERIENCE FILTER\n // =====================================================\n\n\n function experiencePenalty(\n text:string\n ) {\n\n\n let penalty = 0;\n\n\n\n const matches =\n text.match(\n /(\\d+)\\+?\\s*years?/gi\n );\n\n\n\n if(matches) {\n\n\n matches.forEach(match=> {\n\n\n const years =\n parseInt(match);\n\n\n\n if(years >= 7) {\n\n penalty -= 20;\n\n }\n\n\n else if(years >= 5) {\n\n penalty -= 12;\n\n }\n\n\n else if(years >= 4) {\n\n penalty -= 5;\n\n }\n\n\n });\n\n\n }\n\n\n\n return penalty;\n\n }\n\n\n\n\n\n\n // =====================================================\n // JOB SCORE 0-10\n // =====================================================\n\n\n function scoreJob(\n job:Job\n ):number {\n\n\n const title =\n (job.title ?? \"\")\n .toLowerCase();\n\n\n\n const description =\n (job.description ?? \"\")\n .toLowerCase();\n\n\n\n const text =\n `${title} ${description}`;\n\n\n\n let score = 0;\n\n\n\n titleKeywords.excellent\n .forEach(k=>{\n\n\n if(title.includes(k)) {\n\n score += 15;\n\n }\n\n\n });\n\n\n\n titleKeywords.good\n .forEach(k=>{\n\n\n if(title.includes(k)) {\n\n score += 7;\n\n }\n\n\n });\n\n\n\n\n skillKeywords.excellent\n .forEach(k=>{\n\n\n if(text.includes(k)) {\n\n score += 8;\n\n }\n\n\n });\n\n\n\n\n skillKeywords.good\n .forEach(k=>{\n\n\n if(text.includes(k)) {\n\n score += 3;\n\n }\n\n\n });\n\n\n\n\n bfsKeywords\n .forEach(k=>{\n\n\n if(text.includes(k)) {\n\n score += 5;\n\n }\n\n\n });\n\n\n\n\n badStackKeywords\n .forEach(k=>{\n\n\n if(text.includes(k)) {\n\n score -= 15;\n\n }\n\n\n });\n\n\n\n\n seniorKeywords\n .forEach(k=>{\n\n\n if(title.includes(k)) {\n\n score -= 12;\n\n }\n\n\n });\n\n\n\n\n score +=\n experiencePenalty(text);\n\n\n\n\n let finalScore =\n Math.round(score / 10);\n\n\n\n\n if(finalScore < 0)\n\n finalScore = 0;\n\n\n\n if(finalScore > 10)\n\n finalScore = 10;\n\n\n\n return finalScore;\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 error,\n );\n }\n}","createdAt",["D",1785097964043],"branchVersion","branchId","7a094e3e-14b9-4960-9dec-f3fa4077c2ca","id","4835946f-b356-4c17-aa1f-a5581b15ecf2","linkedin-jobEU2",["D",1785095912120],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","","imageUrl","a626a7ed-9ac5-4ff4-95a8-898f4c196c7d","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019f9fcc-d892-722b-a890-ab5f8a8aba6d","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_95":94,"_103":99},"org",{"_95":94,"_96":97,"_98":99,"_18":55,"_100":101,"_102":25},"branch",{"_13":14,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"isOwned","main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","dummpreet676767","handle","displayName","dummpreet6767 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Diff · v8