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Broad queries + scoring logic below do the filtering\n// instead of firing dozens of narrow queries.\nconst QUERIES: { query: string; country: string }[] = [\n { query: \"java spring boot developer\", country: \"in\" },\n { query: \"full stack developer angular java\", country: \"in\" },\n { query: \"software engineer remote\", country: \"in\" },\n { query: \"java backend developer\", country: \"de\" }, // Europe sample; swap/add as needed\n];\n\n// =====================================================================\n// SCORING\n// =====================================================================\n\ninterface NormalizedJob {\n title: string;\n company: string;\n location: string;\n link: string;\n description: string;\n salaryText: string;\n fundingStage: string;\n source: string;\n}\n\nconst titleKeywords = {\n excellent: [\n \"java engineer\", \"java developer\", \"spring boot\", \"full stack engineer\",\n \"full-stack engineer\", \"full stack developer\", \"full-stack developer\",\n \"backend engineer\", \"backend developer\", \"microservices engineer\",\n \"software engineer\", \"software developer\", \"application engineer\",\n \"application developer\", \"api engineer\", \"product engineer\",\n ],\n good: [\n \"developer\", \"engineer\", \"sde\", \"angular developer\", \"frontend engineer\",\n \"fullstack ai developer\", \"ai engineer\", \"platform engineer\", \"cloud engineer\",\n ],\n};\n\nconst skillKeywords = {\n excellent: [\n \"java\", \"spring boot\", \"microservices\", \"kafka\", \"angular\", \"typescript\",\n \"rest api\", \"oauth\", \"oidc\", \"jwt\",\n ],\n good: [\n \"docker\", \"kubernetes\", \"openshift\", \"jenkins\", \"ci/cd\", \"websocket\",\n \"mysql\", \"postgresql\", \"aws\", \"rxjs\", \"genai\", \"llm\", \"langchain\",\n \"machine learning\",\n ],\n};\n\nconst bfsKeywords = [\n \"bfsi\", \"banking\", \"finance\", \"fintech\", \"insurance\", \"payments\", \"trading\",\n];\n\nconst badStackKeywords = [\n \".net\", \"c#\", \"php\", \"ruby\", \"swift\", \"ios\", \"android\", \"salesforce\", \"sap abap\",\n];\n\nconst seniorKeywords = [\n \"senior\", \"lead\", \"principal\", \"staff\", \"architect\", \"manager\", \"director\",\n];\n\nconst juniorFitKeywords = [\n \"0-2 years\", \"1-3 years\", \"2-4 years\", \"2-3 years\", \"1-4 years\", \"junior\",\n \"associate software\", \"early career\", \"sde 1\", \"sde-1\", \"sde i\",\n \"software engineer i\",\n];\n\nconst fundingKeywords = [\n \"series a\", \"series b\", \"series c\", \"seed funded\", \"recently funded\",\n \"funded startup\", \"backed by\",\n];\n\nfunction experiencePenalty(text: string) {\n let penalty = 0;\n const matches = text.match(/(\\d+)\\+?\\s*years?/gi);\n if (matches) {\n matches.forEach((match) => {\n const years = parseInt(match);\n if (years >= 7) penalty -= 20;\n else if (years >= 5) penalty -= 12;\n else if (years >= 4) penalty -= 5;\n });\n }\n return penalty;\n}\n\nfunction salaryBonus(text: string): number {\n const lpaMatch = text.match(\n /(\\d+(?:\\.\\d+)?)\\s*(?:-|to)?\\s*(\\d+(?:\\.\\d+)?)?\\s*lpa/i,\n );\n if (lpaMatch) {\n const max = lpaMatch[2] ? parseFloat(lpaMatch[2]) : parseFloat(lpaMatch[1]);\n if (max >= 8) return 8;\n if (max >= 6) return 2;\n if (max < 4) return -10;\n }\n return 0;\n}\n\nfunction fundingBonus(job: NormalizedJob): number {\n let bonus = 0;\n const text = `${job.description} ${job.fundingStage}`.toLowerCase();\n fundingKeywords.forEach((k) => {\n if (text.includes(k)) bonus += 4;\n });\n return bonus;\n}\n\nfunction scoreJob(job: NormalizedJob): number {\n const title = job.title.toLowerCase();\n const description = job.description.toLowerCase();\n const text = `${title} ${description}`;\n\n let score = 0;\n\n titleKeywords.excellent.forEach((k) => { if (title.includes(k)) score += 15; });\n titleKeywords.good.forEach((k) => { if (title.includes(k)) score += 7; });\n skillKeywords.excellent.forEach((k) => { if (text.includes(k)) score += 8; });\n skillKeywords.good.forEach((k) => { if (text.includes(k)) score += 3; });\n bfsKeywords.forEach((k) => { if (text.includes(k)) score += 5; });\n badStackKeywords.forEach((k) => { if (text.includes(k)) score -= 15; });\n seniorKeywords.forEach((k) => { if (title.includes(k)) score -= 12; });\n juniorFitKeywords.forEach((k) => { if (text.includes(k)) score += 6; });\n\n score += experiencePenalty(text);\n score += salaryBonus(`${job.salaryText} ${description}`);\n score += fundingBonus(job);\n\n let finalScore = Math.round(score / 10);\n if (finalScore < 0) finalScore = 0;\n if (finalScore > 10) finalScore = 10;\n return finalScore;\n}\n\nfunction escapeHtml(value: string) {\n return value\n .replaceAll(\"&\", \"&\")\n .replaceAll(\"<\", \"<\")\n .replaceAll(\">\", \">\")\n .replaceAll('\"', \""\");\n}\n\nfunction dedupeKey(title: string, company: string) {\n return `${title}-${company}`.toLowerCase().trim();\n}\n\n// =====================================================================\n// JSEARCH NORMALIZATION — confirmed against real search-v2 response\n// =====================================================================\n\nfunction normalizeJsearchJob(raw: any): NormalizedJob {\n const salaryMin = raw.job_min_salary ?? \"\";\n const salaryMax = raw.job_max_salary ?? \"\";\n const salaryText = salaryMin || salaryMax\n ? `${salaryMin ?? \"\"}-${salaryMax ?? \"\"} ${raw.job_salary_currency ?? \"\"}`\n : \"\";\n\n const location = [raw.job_city, raw.job_state, raw.job_country]\n .filter(Boolean)\n .join(\", \");\n\n return {\n title: String(raw.job_title || \"Unknown role\"),\n company: String(raw.employer_name || \"Unknown\"),\n location: String(location || raw.job_country || \"\"),\n link: String(raw.job_apply_link || raw.job_google_link || \"#\"),\n description: String(raw.job_description || \"\"),\n salaryText,\n fundingStage: \"\", // JSearch doesn't provide this\n source: `jsearch:${raw.job_publisher || \"unknown\"}`,\n };\n}\n\n// =====================================================================\n// MAIN\n// =====================================================================\n\nexport default async function () {\n const RAPIDAPI_KEY = Deno.env.get(\"RAPIDAPI_KEY\");\n const RESEND_KEY = Deno.env.get(\"RESEND_KEY\");\n\n if (!RAPIDAPI_KEY || !RESEND_KEY) {\n console.error(\"Missing RAPIDAPI_KEY or RESEND_KEY\");\n return new Response(\"Missing config\", { status: 500 });\n }\n\n await sqlite.execute({\n sql: `\n CREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n title TEXT,\n company TEXT,\n location TEXT,\n link TEXT,\n score INTEGER,\n source TEXT,\n dedupe_key TEXT,\n created_at TEXT\n )\n `,\n args: [],\n });\n\n // =====================================================\n // FETCH FROM JSEARCH — one call per entry in QUERIES\n // =====================================================\n\n const allRawJobs: any[] = [];\n\n for (const { query, country } of QUERIES) {\n try {\n const url =\n `https://jsearch.p.rapidapi.com/search-v2?query=${encodeURIComponent(query)}&num_pages=1&country=${country}&date_posted=today`;\n\n const res = await fetch(url, {\n headers: {\n \"X-RapidAPI-Key\": RAPIDAPI_KEY,\n \"X-RapidAPI-Host\": \"jsearch.p.rapidapi.com\",\n },\n });\n\n console.log(\n `[${query} | ${country}] status=${res.status} remaining=${res.headers.get(\"x-ratelimit-requests-remaining\")}`,\n );\n\n if (!res.ok) {\n console.error(`[${query} | ${country}] failed:`, await res.text());\n continue;\n }\n\n const data = await res.json();\n\n // Confirmed shape: jobs live at data.data.jobs (not data.data)\n const items = Array.isArray(data?.data?.jobs) ? data.data.jobs : [];\n\n console.log(`[${query} | ${country}] got ${items.length} jobs`);\n allRawJobs.push(...items);\n } catch (err) {\n console.error(`[${query} | ${country}] error:`, err);\n }\n }\n\n console.log(`Total raw jobs fetched: ${allRawJobs.length}`);\n if (allRawJobs.length > 0) {\n console.log(\"Sample job keys:\", Object.keys(allRawJobs[0]));\n }\n\n // =====================================================\n // NORMALIZE + SCORE + DEDUPE WITHIN BATCH\n // =====================================================\n\n const normalizedJobs = allRawJobs.map(normalizeJsearchJob);\n\n const MIN_SCORE = 3;\n\n const scored = normalizedJobs\n .map((job) => ({ job, score: scoreJob(job) }))\n .filter((x) => x.score >= MIN_SCORE)\n .sort((a, b) => b.score - a.score);\n\n const seenInBatch = new Set();\n const batchJobs = scored.filter(({ job }) => {\n const key = dedupeKey(job.title, job.company);\n if (seenInBatch.has(key)) return false;\n seenInBatch.add(key);\n return true;\n });\n\n // =====================================================\n // DEDUPE AGAINST LAST 24H\n // =====================================================\n\n const cutoff = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();\n const recentResult = await sqlite.execute({\n sql: `SELECT dedupe_key FROM jobs WHERE created_at >= ?`,\n args: [cutoff],\n });\n const alreadySent = new Set(recentResult.rows.map((r: any) => r[0]));\n\n const finalJobs = batchJobs.filter(({ job }) => {\n const key = dedupeKey(job.title, job.company);\n return !alreadySent.has(key);\n });\n\n console.log(\n `Matching after scoring: ${batchJobs.length}, new (not sent in last 24h): ${finalJobs.length}`,\n );\n\n // =====================================================\n // BUILD + SEND EMAIL\n // =====================================================\n\n let html = `\n

Java / Spring Boot / Angular / Full-Stack Jobs (${new Date().toDateString()})

Source: JSearch | Matching score: 0 = irrelevant | 10 = perfect match

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

No new matching jobs this run.

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

${escapeHtml(job.title)}

\n Company: ${escapeHtml(job.company)}

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

\n Source: ${escapeHtml(job.source)}

\n Match Score: ${score}/10

\n Apply Now\n

\n `;\n });\n }\n\n if (finalJobs.length > 0) {\n const emailRes = await fetch(\"https://api.resend.com/emails\", {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${RESEND_KEY}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n from: \"onboarding@resend.dev\",\n to: YOUR_EMAIL,\n subject: `Java Jobs ${new Date().toDateString()} - JSearch (${finalJobs.length} new)`,\n html,\n }),\n });\n\n if (!emailRes.ok) {\n console.error(\"Email failed:\", emailRes.status, await emailRes.text());\n } else {\n console.log(`Email sent successfully. ${finalJobs.length} new jobs.`);\n }\n } else {\n console.log(\"No new jobs, skipping email.\");\n }\n\n // =====================================================\n // PERSIST + CLEANUP\n // =====================================================\n\n const now = new Date().toISOString();\n for (const { job, score } of finalJobs) {\n await sqlite.execute({\n sql: `INSERT INTO jobs (title, company, location, link, score, 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Code