([\\s\\S]?)<\\/h3>([\\s\\S]?)(?=

|$)/g;\n let m;\n while ((m = sectionRegex.exec(html)) !== null) {\n const title = stripTags(m[1]);\n const content = m[2];\n if (!title) continue;\n blocks.push({\n object: \"block\",\n type: \"heading_2\",\n heading_2: {\n rich_text: [{ type: \"text\", text: { content: title.slice(0, 1900) } }],\n },\n });\n\n // h4\n const h4Re = /

([\\s\\S]*?)<\\/h4>/g;\n const h4Set = new Set();\n let h4m;\n while ((h4m = h4Re.exec(content)) !== null) {\n h4Set.add(h4m.index);\n const t = stripTags(h4m[1]);\n if (t) {\n blocks.push({\n object: \"block\",\n type: \"heading_3\",\n heading_3: {\n rich_text: [{ type: \"text\", text: { content: t.slice(0, 1900) } }],\n },\n });\n }\n }\n\n // 단락\n const paraRe = /

([\\s\\S]*?)<\\/p>/g;\n let pm;\n while ((pm = paraRe.exec(content)) !== null) {\n const t = stripTags(pm[1]);\n if (t) {\n blocks.push({\n object: \"block\",\n type: \"paragraph\",\n paragraph: {\n rich_text: [{ type: \"text\", text: { content: t.slice(0, 1900) } }],\n },\n });\n }\n }\n\n // 리스트\n const listRe = /<(ol|ul)>([\\s\\S]*?)<\\/\\1>/g;\n let lm;\n while ((lm = listRe.exec(content)) !== null) {\n const isOrdered = lm[1] === \"ol\";\n const itemRe = /

([\\s\\S]*?)<\\/li>/g;\n let im;\n while ((im = itemRe.exec(lm[2])) !== null) {\n const t = stripTags(im[1]);\n if (!t) continue;\n const key = isOrdered ? \"numbered_list_item\" : \"bulleted_list_item\";\n blocks.push({\n object: \"block\",\n type: key,\n [key]: {\n rich_text: [{ type: \"text\", text: { content: t.slice(0, 1900) } }],\n },\n });\n }\n }\n\n // 표 → 단락으로 (노션 table 블록은 children 구조가 복잡하므로 간단히 텍스트화)\n const tableRe = /([\\s\\S]*?)<\\/table>/g;\n let tm;\n while ((tm = tableRe.exec(content)) !== null) {\n const rowRe = /([\\s\\S]*?)<\\/tr>/g;\n let rm;\n const lines: string[] = [];\n while ((rm = rowRe.exec(tm[1])) !== null) {\n const cellRe = /]*>([\\s\\S]*?)<\\/t[hd]>/g;\n const cells: string[] = [];\n let cm;\n while ((cm = cellRe.exec(rm[1])) !== null) cells.push(stripTags(cm[1]));\n if (cells.length) lines.push(cells.join(\" | \"));\n }\n const text = lines.join(\"\\n\");\n if (text) {\n blocks.push({\n object: \"block\",\n type: \"code\",\n code: {\n rich_text: [{\n type: \"text\",\n text: { content: text.slice(0, 1900) },\n }],\n language: \"plain text\",\n },\n });\n }\n }\n }\n\n blocks.push({\n object: \"block\",\n type: \"paragraph\",\n paragraph: {\n rich_text: [\n { type: \"text\", text: { content: \"전체 인터랙티브 리포트: \" } },\n {\n type: \"text\",\n text: { content: \"리포트 열기\", link: { url: REPORT_URL } },\n },\n ],\n },\n });\n\n return blocks.slice(0, 100);\n}\n\nasync function createNotionPage(p: {\n date: string;\n summary: string;\n html: string;\n kpi: Record;\n totalRoas: number;\n pnRoas: number;\n tsRoas: number;\n status: string;\n}): Promise {\n const token = Deno.env.get(\"NOTION_TOKEN\");\n const dbId = Deno.env.get(\"NOTION_DB_ID\") || NOTION_DB_DEFAULT;\n if (!token) throw new Error(\"NOTION_TOKEN not set\");\n\n const resp = await fetch(\"https://api.notion.com/v1/pages\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n \"Notion-Version\": \"2022-06-28\",\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n parent: { database_id: dbId },\n properties: {\n \"날짜\": {\n title: [{ text: { content: `${p.date} 네이버 SA 일일 리포트` } }],\n },\n \"분석일\": { date: { start: p.date } },\n \"통합 ROAS (%)\": { number: p.totalRoas },\n \"풍년보감 광고비\": { number: p.kpi[\"풍년보감\"].spend },\n \"풍년보감 매출\": { number: p.kpi[\"풍년보감\"].rev },\n \"풍년보감 ROAS (%)\": { number: p.pnRoas },\n \"텅스페이스 광고비\": { number: p.kpi[\"텅스페이스\"].spend },\n \"텅스페이스 매출\": { number: p.kpi[\"텅스페이스\"].rev },\n \"텅스페이스 ROAS (%)\": { number: p.tsRoas },\n \"핵심 인사이트\": {\n rich_text: [{ text: { content: (p.summary || \"\").slice(0, 2000) } }],\n },\n \"상태\": { select: { name: p.status } },\n \"리포트 링크\": { url: REPORT_URL },\n },\n children: htmlToNotionBlocks(p.html),\n }),\n });\n if (!resp.ok) {\n throw new Error(\n `Notion API ${resp.status}: ${(await resp.text()).slice(0, 500)}`,\n );\n }\n const data = await resp.json();\n return data.id;\n}\n\nasync function fetchYesterdayKPI(targetDate: string) {\n const campaigns: any[] = await callNaver(\"/ncc/campaigns\");\n const cmap = new Map(\n campaigns.map((\n c: any,\n ) => [c.nccCampaignId, { ...c, brand: classifyBrand(c.name) }]),\n );\n const ids = campaigns.map((c: any) => c.nccCampaignId).join(\",\");\n const stats = await callNaver(\"/stats\", {\n ids,\n fields: '[\"impCnt\",\"clkCnt\",\"salesAmt\",\"ccnt\",\"ctr\",\"cpc\",\"convAmt\"]',\n timeRange: JSON.stringify({ since: targetDate, until: targetDate }),\n });\n const kpi: Record = {\n \"풍년보감\": { spend: 0, rev: 0, conv: 0 },\n \"텅스페이스\": { spend: 0, rev: 0, conv: 0 },\n };\n let wastedCount = 0;\n for (const s of (stats?.data || [])) {\n const c = cmap.get(s.id);\n if (!c) continue;\n kpi[c.brand].spend += s.salesAmt || 0;\n kpi[c.brand].rev += s.convAmt || 0;\n kpi[c.brand].conv += s.ccnt || 0;\n if ((s.salesAmt || 0) > 1000 && (s.convAmt || 0) === 0) wastedCount++;\n }\n const pnRoas = kpi[\"풍년보감\"].spend > 0\n ? Math.round(kpi[\"풍년보감\"].rev / kpi[\"풍년보감\"].spend * 100)\n : 0;\n const tsRoas = kpi[\"텅스페이스\"].spend > 0\n ? Math.round(kpi[\"텅스페이스\"].rev / kpi[\"텅스페이스\"].spend * 100)\n : 0;\n const totalSpend = kpi[\"풍년보감\"].spend + kpi[\"텅스페이스\"].spend;\n const totalRev = kpi[\"풍년보감\"].rev + kpi[\"텅스페이스\"].rev;\n const totalRoas = totalSpend > 0\n ? Math.round(totalRev / totalSpend * 100)\n : 0;\n let status = \"정상\";\n if (totalSpend === 0) status = \"데이터 부족\";\n else if (totalRoas < 300) status = \"경고\";\n else if (totalRoas < 700) status = \"검토 필요\";\n if (wastedCount >= 5 && (status === \"정상\" || status === \"검토 필요\")) {\n status = \"비효율 다수\";\n }\n return { kpi, pnRoas, tsRoas, totalRoas, status };\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n // ━━━ POST: AI 분석 저장 + 노션 페이지 생성 ━━━\n if (req.method === \"POST\") {\n if (url.searchParams.get(\"key\") !== Deno.env.get(\"WORKER_KEY\")) {\n return Response.json({ error: \"unauthorized\" }, { status: 401 });\n }\n try {\n const body = await req.json();\n const targetDate = body.date || dateKST(-1);\n const summary = body.summary || \"\";\n const html = body.html || \"\";\n\n // 1. blob 저장 (이전 동작)\n await blob.setJSON(BLOB_AI_KEY, {\n html,\n date: targetDate,\n summary,\n savedAt: new Date().toISOString(),\n });\n\n // 2. 노션 페이지 생성 (실패해도 blob은 이미 저장됨)\n let notionPageId: string | null = null;\n let notionError: string | null = null;\n try {\n const k = await fetchYesterdayKPI(targetDate);\n notionPageId = await createNotionPage({\n date: targetDate,\n summary,\n html,\n kpi: k.kpi,\n totalRoas: k.totalRoas,\n pnRoas: k.pnRoas,\n tsRoas: k.tsRoas,\n status: k.status,\n });\n } catch (err: any) {\n notionError = err.message;\n }\n\n return Response.json({\n ok: true,\n savedAt: new Date().toISOString(),\n notionPageId,\n notionError,\n });\n } catch (err: any) {\n return Response.json({ error: err.message }, { status: 500 });\n }\n }\n\n // ━━━ GET: 풀 리포트 ━━━\n const targetDate = url.searchParams.get(\"date\") || dateKST(-1);\n\n try {\n // 1. 캠페인 + 브랜드\n const campaigns: any[] = await callNaver(\"/ncc/campaigns\");\n const cmap = new Map(\n campaigns.map((\n c: any,\n ) => [c.nccCampaignId, { ...c, brand: classifyBrand(c.name) }]),\n );\n const ids = campaigns.map((c: any) => c.nccCampaignId).join(\",\");\n\n // 2. 어제 stats\n const yStats = await callNaver(\"/stats\", {\n ids,\n fields: '[\"impCnt\",\"clkCnt\",\"salesAmt\",\"ccnt\",\"ctr\",\"cpc\",\"convAmt\"]',\n timeRange: JSON.stringify({ since: targetDate, until: targetDate }),\n });\n\n // 3. 30일 트렌드 (오늘 제외, 전일까지 30일: -30 ~ -1)\n const trendByBrand: Record = {\n \"풍년보감\": [],\n \"텅스페이스\": [],\n };\n for (let i = -30; i <= -1; i++) {\n const d = dateKST(i);\n const ds = await callNaver(\"/stats\", {\n ids,\n fields: '[\"impCnt\",\"clkCnt\",\"salesAmt\",\"ccnt\",\"convAmt\"]',\n timeRange: JSON.stringify({ since: d, until: d }),\n });\n const bb: Record = {\n \"풍년보감\": { date: d, spend: 0, revenue: 0, imp: 0, clk: 0, conv: 0 },\n \"텅스페이스\": {\n date: d,\n spend: 0,\n revenue: 0,\n imp: 0,\n clk: 0,\n conv: 0,\n },\n };\n for (const s of (ds?.data || [])) {\n const c = cmap.get(s.id);\n if (!c) continue;\n const b = bb[c.brand];\n b.spend += s.salesAmt || 0;\n b.revenue += s.convAmt || 0;\n b.imp += s.impCnt || 0;\n b.clk += s.clkCnt || 0;\n b.conv += s.ccnt || 0;\n }\n trendByBrand[\"풍년보감\"].push(bb[\"풍년보감\"]);\n trendByBrand[\"텅스페이스\"].push(bb[\"텅스페이스\"]);\n }\n\n // 4. 캠페인 데이터\n const rowsByBrand: Record = {\n \"풍년보감\": [],\n \"텅스페이스\": [],\n };\n const activeKwCampaigns: Record = {\n \"풍년보감\": [],\n \"텅스페이스\": [],\n };\n for (const s of (yStats?.data || [])) {\n const c = cmap.get(s.id);\n if (!c) continue;\n const row = {\n id: s.id,\n name: c.name,\n tp: c.campaignTp || \"\",\n imp: s.impCnt || 0,\n clk: s.clkCnt || 0,\n ctr: s.ctr || 0,\n cpc: s.cpc || 0,\n spend: s.salesAmt || 0,\n conv: s.ccnt || 0,\n rev: s.convAmt || 0,\n roas: s.salesAmt > 0 ? Math.round((s.convAmt / s.salesAmt) * 100) : 0,\n };\n rowsByBrand[c.brand].push(row);\n if (\n KEYWORD_CAMPAIGN_TYPES.includes(c.campaignTp) &&\n (row.spend > 0 || row.imp > 0)\n ) {\n activeKwCampaigns[c.brand].push(s.id);\n }\n }\n for (const b of [\"풍년보감\", \"텅스페이스\"]) {\n rowsByBrand[b].sort((a: any, b: any) =>\n b.spend - a.spend\n );\n }\n\n // 5. 키워드\n const keywordsByBrand: Record = {\n \"풍년보감\": [],\n \"텅스페이스\": [],\n };\n for (const brand of [\"풍년보감\", \"텅스페이스\"]) {\n const results = await Promise.all(\n activeKwCampaigns[brand].map((cid: string) =>\n fetchCampaignKeywords(cid, targetDate).catch(() => [])\n ),\n );\n for (const arr of results) keywordsByBrand[brand].push(...arr);\n }\n\n // 6. 집계\n const summary: Record = {};\n for (const b of [\"풍년보감\", \"텅스페이스\"]) {\n const rows = rowsByBrand[b];\n const trend = trendByBrand[b];\n summary[b] = {\n ySpend: rows.reduce((s: number, r: any) => s + r.spend, 0),\n yRev: rows.reduce((s: number, r: any) => s + r.rev, 0),\n yConv: rows.reduce((s: number, r: any) => s + r.conv, 0),\n tSpend: trend.reduce((s, t) => s + t.spend, 0),\n tRev: trend.reduce((s, t) => s + t.revenue, 0),\n tConv: trend.reduce((s, t) => s + t.conv, 0),\n };\n summary[b].yRoas = summary[b].ySpend > 0\n ? Math.round(summary[b].yRev / summary[b].ySpend * 100)\n : 0;\n summary[b].tRoas = summary[b].tSpend > 0\n ? Math.round(summary[b].tRev / summary[b].tSpend * 100)\n : 0;\n }\n const overall = {\n ySpend: summary[\"풍년보감\"].ySpend + summary[\"텅스페이스\"].ySpend,\n yRev: summary[\"풍년보감\"].yRev + summary[\"텅스페이스\"].yRev,\n yConv: summary[\"풍년보감\"].yConv + summary[\"텅스페이스\"].yConv,\n tSpend: summary[\"풍년보감\"].tSpend + summary[\"텅스페이스\"].tSpend,\n tRev: summary[\"풍년보감\"].tRev + summary[\"텅스페이스\"].tRev,\n tConv: summary[\"풍년보감\"].tConv + summary[\"텅스페이스\"].tConv,\n yRoas: 0,\n tRoas: 0,\n };\n overall.yRoas = overall.ySpend > 0\n ? Math.round(overall.yRev / overall.ySpend * 100)\n : 0;\n overall.tRoas = overall.tSpend > 0\n ? Math.round(overall.tRev / overall.tSpend * 100)\n : 0;\n\n // 7. AI 분석 가져오기 (blob에서)\n let aiAnalysis: any = null;\n try {\n aiAnalysis = await blob.getJSON(BLOB_AI_KEY);\n } catch (e) { /* no analysis */ }\n\n const html = renderHTML({\n targetDate,\n trendByBrand,\n rowsByBrand,\n summary,\n overall,\n keywordsByBrand,\n aiAnalysis,\n });\n return new Response(html, {\n headers: {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Cache-Control\": \"public, max-age=1800\",\n },\n });\n } catch (err: any) {\n return new Response(\n `

Error

${err.message}\\n${\n        err.stack || \"\"\n      }

`,\n { status: 500, headers: { \"Content-Type\": \"text/html; charset=utf-8\" } },\n );\n }\n}\n\nfunction renderHTML(d: any): string {\n const fmt = (n: number) => n.toLocaleString(\"ko-KR\") + \"원\";\n const fmtN = (n: number) => n.toLocaleString(\"ko-KR\");\n const esc = (s: string) =>\n String(s).replace(/&/g, \"&\").replace(//g,\n \">\",\n );\n\n const renderKeywordsSection = (brand: string) => {\n const kws = d.keywordsByBrand[brand];\n if (!kws || kws.length === 0) {\n return `

🔍 키워드 데이터 없음

이 브랜드는 어제 활성된 파워링크/브랜드검색 캠페인이 없거나 노출/광고비가 없습니다.

쇼핑검색광고는 상품 기반이라 키워드 분석 대상이 아닙니다.

`;\n }\n const topSpend = [...kws].sort((a, b) => b.spend - a.spend).slice(0, 10);\n const topRoas = [...kws].filter((k) => k.spend >= 500 && k.rev > 0).sort((\n a,\n b,\n ) => b.roas - a.roas).slice(0, 10);\n const wasted = [...kws].filter((k) => k.spend > 1000 && k.rev === 0).sort((\n a,\n b,\n ) => b.spend - a.spend).slice(0, 5);\n\n const renderTable = (rows: any[]) => `\n

\n${\n rows.map((k) =>\n ``\n ).join(\"\")\n }\n

키워드	노출	클릭	CTR	CPC	광고비	전환	매출	ROAS
${esc(k.keyword)}	${\n fmtN(k.imp)\n }	${k.clk}	${k.ctr.toFixed(2)}%	${\n fmtN(k.cpc)\n }원	${fmt(k.spend)}	${k.conv}	${\n fmt(k.rev)\n }	${k.roas > 0 ? k.roas.toLocaleString() + \"%\" : \"-\"}

`;\n return `\n

📊 광고비 TOP 10

${renderTable(topSpend)}\n${\n topRoas.length > 0\n ? `

⭐ ROAS TOP 10 (최소 광고비 500원)

${\n renderTable(topRoas)\n }`\n : \"\"\n }\n${\n wasted.length > 0\n ? `

⚠️ 비효율 키워드 (광고비 1000원↑ / 매출 0)

${\n renderTable(wasted)\n }`\n : \"\"\n }\n

총 ${kws.length}개 활성 키워드

`;\n };\n\n const renderBrandSection = (brand: string, emoji: string, theme: string) => {\n const s = d.summary[brand];\n const rows = d.rowsByBrand[brand];\n const trend = d.trendByBrand[brand];\n const trendLabels = JSON.stringify(trend.map((t: any) => t.date.slice(5)));\n const trendSpend = JSON.stringify(trend.map((t: any) => t.spend));\n const trendRev = JSON.stringify(trend.map((t: any) => t.revenue));\n const trendRoas = JSON.stringify(\n trend.map((t: any) =>\n t.spend > 0 ? Math.round(t.revenue / t.spend * 100) : 0\n ),\n );\n\n const top5 = [...rows].filter((r: any) => r.rev > 0).sort((\n a: any,\n b: any,\n ) => b.roas - a.roas).slice(0, 5);\n const top5HTML = top5.map((r: any, i: number) =>\n `

${\n i + 1\n }위

${\n esc(r.name)\n }

광고비 ${fmt(r.spend)} → 매출 ${\n fmt(r.rev)\n }

1000 ? \"\" : \"badge-mid\"\n }\">ROAS ${r.roas.toLocaleString()}%

`\n ).join(\"\");\n const wasted = rows.filter((r: any) => r.spend > 0 && r.rev === 0).sort((\n a: any,\n b: any,\n ) => b.spend - a.spend).slice(0, 3);\n const wastedHTML = wasted.map((r: any) =>\n `

${\n esc(r.name)\n }

광고비 ${\n fmt(r.spend)\n } / 클릭 ${r.clk} / 매출 0원

`\n ).join(\"\");\n const trendRows = trend.map((t: any) => {\n const roas = t.spend > 0 ? Math.round(t.revenue / t.spend * 100) : 0;\n return `${t.date}${fmt(t.spend)}${\n fmtN(t.imp)\n }${t.clk}${t.conv}${\n fmt(t.revenue)\n }${roas.toLocaleString()}%`;\n }).join(\"\");\n const allRows =\n rows.map((r: any, i: number) =>\n `${i + 1}${esc(r.name)}${r.tp}${\n fmt(r.spend)\n }${fmtN(r.clk)}${r.conv}${\n fmt(r.rev)\n }${r.roas > 0 ? r.roas.toLocaleString() + \"%\" : \"-\"}`\n ).join(\"\") ||\n `전일 활성 캠페인 없음`;\n\n return `\n

${emoji} ${brand}

30일 광고비

${\n fmt(s.tSpend)\n }

30일 매출

${\n fmt(s.tRev)\n }

30일 ROAS

${s.tRoas.toLocaleString()}%

30일 전환

${s.tConv}건

전일 광고비

${\n fmt(s.ySpend)\n }

전일 매출

${\n fmt(s.yRev)\n }

전일 ROAS

${s.yRoas.toLocaleString()}%

전일 전환

${s.yConv}건

SA 효율 분석

\n${\n top5HTML\n ? `

⭐ ROAS TOP 5 캠페인

${top5HTML}`\n : '

전환된 캠페인 없음

'\n }\n${\n wastedHTML\n ? `

⚠️ 비효율 캠페인

${wastedHTML}`\n : \"\"\n }\n

SA 일별 분석 (30일)

광고비매출ROAS

\n${trendRows}

날짜	광고비	노출	클릭	전환	매출	ROAS

SA 키워드 분석

\n${renderKeywordsSection(brand)}\n

DA 디스플레이 (GFA)

🔌 GFA API 연동 대기 중

대행사 통해 자격증명 수신 후 즉시 통합.

📋 ${brand} 전체 캠페인 (전일)

\n${allRows}

#	캠페인명	유형	광고비	클릭	전환	매출	ROAS

\n`;\n };\n\n const overallChart = JSON.stringify({\n labels: d.trendByBrand[\"풍년보감\"].map((t: any) => t.date.slice(5)),\n pn: d.trendByBrand[\"풍년보감\"].map((t: any) => t.spend),\n ts: d.trendByBrand[\"텅스페이스\"].map((t: any) => t.spend),\n pnRev: d.trendByBrand[\"풍년보감\"].map((t: any) => t.revenue),\n tsRev: d.trendByBrand[\"텅스페이스\"].map((t: any) => t.revenue),\n });\n\n // AI 분석 섹션 렌더링\n let aiSection = \"\";\n if (d.aiAnalysis && d.aiAnalysis.html) {\n const generatedAt = d.aiAnalysis.savedAt\n ? new Date(d.aiAnalysis.savedAt).toLocaleString(\"ko-KR\", {\n timeZone: \"Asia/Seoul\",\n })\n : \"\";\n aiSection = `\n

🤖 AI 자동 분석 & 액션플랜

생성: ${generatedAt} KST · 캠페인/그룹/소재 3단계 분석

${d.aiAnalysis.html}

`;\n } else {\n aiSection = `\n

🤖 AI 자동 분석

매일 아침 07:30 KST에 자동 생성됩니다. 첫 분석은 내일 새벽부터 표시 예정.

`;\n }\n\n return `\n네이버 마케팅 통합 리포트 — ${d.targetDate}\n\n

\n\n

분석 기간: ${\n d.trendByBrand[\"풍년보감\"][0]?.date || \"\"\n } ~ ${d.targetDate} (오늘 제외, 전일까지 30일)

네이버 마케팅 통합 리포트

${\n d.trendByBrand[\"풍년보감\"][0]?.date || \"\"\n } ~ ${d.targetDate}

PNBG · 풍년보감 + 텅스페이스 · AI 분석 + 효율/일별/키워드

\n\n

전체 통합 KPI

30일 총 광고비

${\n fmt(d.overall.tSpend)\n }

30일 총 매출

${\n fmt(d.overall.tRev)\n }

30일 통합 ROAS

${d.overall.tRoas.toLocaleString()}%

30일 총 전환

${d.overall.tConv}건

전일 광고비

${\n fmt(d.overall.ySpend)\n }

전일 매출

${\n fmt(d.overall.yRev)\n }

전일 ROAS

${d.overall.yRoas.toLocaleString()}%

전일 전환

${d.overall.yConv}건

\n\n

📊 브랜드별 30일 비교

풍년보감 광고비텅스페이스 광고비풍년보감 매출텅스페이스 매출

\n\n${renderBrandSection(\"풍년보감\", \"🍯\", \"theme-pnbg\")}\n${renderBrandSection(\"텅스페이스\", \"🫧\", \"theme-ts\")}\n\n${aiSection}\n\n\n\n

\n\n`;\n}",[150],"0db5de5a-4ce7-11f1-b441-ee650bb23af1","naverOrders.ts","019e14cf-43f6-7268-b974-fbb12d9b6030",10,["D",1778469067627],9,"/**\n * 네이버 커머스API용 bcrypt 서명 생성기 + Make IP 진단 (val.town)\n * 환경변수: NAVER_CLIENT_ID, NAVER_CLIENT_SECRET, WORKER_KEY\n *\n * 응답에 source_ip 추가 → Make가 실제로 어떤 IP에서 호출하는지 확인 가능\n */\n\nimport bcrypt from \"npm:bcryptjs\";\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (url.searchParams.get(\"key\") !== Deno.env.get(\"WORKER_KEY\")) {\n return Response.json({ error: \"unauthorized\" }, { status: 401 });\n }\n\n const NAVER_CLIENT_ID = Deno.env.get(\"NAVER_CLIENT_ID\")!;\n const NAVER_CLIENT_SECRET = Deno.env.get(\"NAVER_CLIENT_SECRET\")!;\n\n // 호출자 IP 추출 (Make 등 클라이언트의 실제 outbound IP)\n const sourceIp = req.headers.get(\"x-forwarded-for\") ||\n req.headers.get(\"cf-connecting-ip\") ||\n req.headers.get(\"x-real-ip\") ||\n \"unknown\";\n\n try {\n const timestamp = Date.now();\n const password = `${NAVER_CLIENT_ID}_${timestamp}`;\n const hashed = bcrypt.hashSync(password, NAVER_CLIENT_SECRET);\n const signature = btoa(hashed);\n\n return Response.json({\n ok: true,\n client_id: NAVER_CLIENT_ID,\n timestamp: String(timestamp),\n signature: signature,\n source_ip: sourceIp, // ← Make가 실제로 어디서 호출하는지\n });\n } catch (err: any) {\n return Response.json(\n { error: \"exception\", message: err.message },\n { status: 500 },\n );\n }\n}",[158],"pulls",1,"branches",2,"forks","envVars",{"_174":176,"_177":61},"connections",{"_174":61,"_175":61},"count","unfilledCount",23,"emptyCount",{"_44":157,"_33":158,"_31":159,"_143":-5,"_42":43,"_41":160,"_144":25,"_39":188,"_13":162,"_35":36,"_37":163,"_24":27,"_147":-5,"_182":189,"_28":190},{"_44":149,"_33":150,"_31":151,"_143":-5,"_42":43,"_41":152,"_144":27,"_39":185,"_13":154,"_35":36,"_37":155,"_24":27,"_147":-5,"_182":186,"_28":187},{"_44":142,"_33":29,"_31":32,"_143":-5,"_42":43,"_41":14,"_144":27,"_39":181,"_13":146,"_35":36,"_37":38,"_24":27,"_147":-5,"_182":183,"_28":184},["D",1778665468778],"children",[],[29],["D",1778665430080],[],[150],["D",1778469067627],[],[158],["D",1778465580996],["D",1789578655349],{"_100":99,"_108":104},{"_100":99,"_101":102,"_103":104,"_18":55,"_105":106,"_107":27},{"_13":87,"_33":88,"_44":43,"_89":45,"_90":91,"_92":93,"_94":51,"_95":45,"_96":63,"_97":46,"_98":99},"ctx",{"_80":-5,"_129":229,"_230":231,"_232":233,"_234":27,"_235":27,"_236":27,"_237":25,"_238":-5,"_239":-7,"_240":-7,"_241":61,"_242":27,"_243":27,"_244":-5,"_245":27,"_246":27,"_247":27,"_248":-5},"ENV",{"_200":201,"_202":203,"_204":135,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","5015b8df46402d8bba4f485ecc37aec202b0e06b","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

([\\s\\S]*?)<\\/h3>([\\s\\S]*?)(?=

Error

🔍 키워드 데이터 없음

📊 광고비 TOP 10

⭐ ROAS TOP 10 (최소 광고비 500원)

⚠️ 비효율 키워드 (광고비 1000원↑ / 매출 0)

${emoji} ${brand}

SA 효율 분석

⭐ ROAS TOP 5 캠페인

⚠️ 비효율 캠페인

SA 일별 분석 (30일)

SA 키워드 분석

DA 디스플레이 (GFA)

🔌 GFA API 연동 대기 중

📋 ${brand} 전체 캠페인 (전일)

🤖 AI 자동 분석 & 액션플랜

🤖 AI 자동 분석

전체 통합 KPI

📊 브랜드별 30일 비교

([\\s\\S]?)<\\/h3>([\\s\\S]?)(?=

Diff · v36