o2o-infinith-demo/supabase/functions/generate-report/index.ts

468 lines
23 KiB
TypeScript

import "@supabase/functions-js/edge-runtime.d.ts";
import { createClient } from "https://esm.sh/@supabase/supabase-js@2";
import { normalizeInstagramHandle } from "../_shared/normalizeHandles.ts";
import { PERPLEXITY_MODEL } from "../_shared/config.ts";
const corsHeaders = {
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Headers":
"authorization, x-client-info, apikey, content-type",
};
interface ReportRequest {
// V2: reportId-based (Phase 3 — uses data already in DB)
reportId?: string;
// V3: clinic + run IDs for new schema
clinicId?: string;
runId?: string;
// V1 compat: url-based (legacy single-call flow)
url?: string;
clinicName?: string;
}
Deno.serve(async (req) => {
if (req.method === "OPTIONS") {
return new Response("ok", { headers: corsHeaders });
}
try {
const body = (await req.json()) as ReportRequest;
const PERPLEXITY_API_KEY = Deno.env.get("PERPLEXITY_API_KEY");
if (!PERPLEXITY_API_KEY) throw new Error("PERPLEXITY_API_KEY not configured");
const supabaseUrl = Deno.env.get("SUPABASE_URL")!;
const supabaseKey = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY")!;
const supabase = createClient(supabaseUrl, supabaseKey);
// ─── V2 Pipeline: reportId provided (Phase 1 & 2 already ran) ───
if (body.reportId) {
const { data: row, error: fetchErr } = await supabase
.from("marketing_reports")
.select("*")
.eq("id", body.reportId)
.single();
if (fetchErr || !row) throw new Error(`Report not found: ${fetchErr?.message}`);
await supabase.from("marketing_reports").update({ status: "generating" }).eq("id", body.reportId);
const channelData = row.channel_data || {};
const analysisData = row.analysis_data || {};
const scrapeData = row.scrape_data || {};
const clinic = scrapeData.clinic || {};
const verified = row.verified_channels || {};
// Build real data summary for AI prompt
const channelSummary = buildChannelSummary(channelData, verified);
const marketSummary = JSON.stringify(analysisData.analysis || {}, null, 2).slice(0, 8000);
const reportPrompt = `
당신은 프리미엄 의료 마케팅 전문 분석가입니다. 아래 **실제 수집된 데이터**를 기반으로 종합 마케팅 리포트를 생성해주세요.
⚠️ 중요: 아래 데이터에 없는 수치는 절대 추측하지 마세요. 데이터가 없으면 "데이터 없음"으로 표시하세요.
## 병원 기본 정보
- 병원명: ${clinic.clinicName || row.clinic_name}
- 주소: ${clinic.address || ""}
- 전화: ${clinic.phone || ""}
- 시술: ${(clinic.services || []).join(", ")}
- 의료진: ${JSON.stringify(clinic.doctors || []).slice(0, 500)}
- 슬로건: ${clinic.slogan || ""}
## 실제 채널 데이터 (수집 완료)
${channelSummary}
## 시장 분석 데이터
${marketSummary}
## 웹사이트 브랜딩
${JSON.stringify(scrapeData.branding || {}, null, 2).slice(0, 1000)}
## 리포트 형식 (반드시 아래 JSON 구조로 응답)
{
"clinicInfo": {
"name": "병원명 (한국어)",
"nameEn": "영문 병원명",
"established": "개원년도",
"address": "주소",
"phone": "전화번호",
"services": ["시술1", "시술2"],
"doctors": [{"name": "의사명", "specialty": "전문분야"}]
},
"executiveSummary": "경영진 요약 (3-5문장)",
"overallScore": 0-100,
"channelAnalysis": {
"naverBlog": { "score": 0-100, "status": "active|inactive|not_found", "posts": 0, "recommendation": "추천사항", "diagnosis": [{"issue": "문제", "severity": "critical|warning|good", "recommendation": "개선안"}] },
"instagram": { "score": 0-100, "status": "active|inactive|not_found", "followers": 실제수치, "posts": 실제수치, "recommendation": "추천사항", "diagnosis": [{"issue": "문제", "severity": "critical|warning|good", "recommendation": "개선안"}] },
"youtube": { "score": 0-100, "status": "active|inactive|not_found", "subscribers": 실제수치, "recommendation": "추천사항", "diagnosis": [{"issue": "문제", "severity": "critical|warning|good", "recommendation": "개선안"}] },
"naverPlace": { "score": 0-100, "rating": 실제수치, "reviews": 실제수치, "recommendation": "추천사항" },
"gangnamUnni": { "score": 0-100, "rating": 실제수치, "ratingScale": 10, "reviews": 실제수치, "status": "active|not_found", "recommendation": "추천사항" },
"website": { "score": 0-100, "issues": [], "recommendation": "추천사항", "trackingPixels": [{"name": "이름", "installed": true}], "snsLinksOnSite": true, "additionalDomains": [], "mainCTA": "주요 CTA" }
},
"newChannelProposals": [{ "channel": "채널명", "priority": "P0|P1|P2", "rationale": "근거" }],
"competitors": [{ "name": "경쟁병원", "strengths": [], "weaknesses": [], "marketingChannels": [] }],
"keywords": { "primary": [{"keyword": "키워드", "monthlySearches": 0, "competition": "high|medium|low"}], "longTail": [{"keyword": "키워드"}] },
"targetAudience": { "primary": { "ageRange": "", "gender": "", "interests": [], "channels": [] } },
"brandIdentity": [{ "area": "영역", "asIs": "현재", "toBe": "개선" }],
"kpiTargets": [{ "metric": "지표명 (실제 수집된 수치 기반으로 현실적 목표 설정)", "current": "현재 실제 수치", "target3Month": "3개월 목표", "target12Month": "12개월 목표" }],
"recommendations": [{ "priority": "high|medium|low", "category": "카테고리", "title": "제목", "description": "설명", "expectedImpact": "효과" }],
"marketTrends": ["트렌드1"]
}
`;
const aiRes = await fetch("https://api.perplexity.ai/chat/completions", {
method: "POST",
headers: { "Content-Type": "application/json", Authorization: `Bearer ${PERPLEXITY_API_KEY}` },
body: JSON.stringify({
model: PERPLEXITY_MODEL,
messages: [
{ role: "system", content: "You are a Korean medical marketing analyst. Respond ONLY with valid JSON, no markdown code blocks. Use Korean for text fields. 강남언니 rating is 10-point scale. Use ONLY the provided real data — never invent metrics." },
{ role: "user", content: reportPrompt },
],
temperature: 0.3,
}),
});
const aiData = await aiRes.json();
let reportText = aiData.choices?.[0]?.message?.content || "";
const jsonMatch = reportText.match(/```(?:json)?\n?([\s\S]*?)```/);
if (jsonMatch) reportText = jsonMatch[1];
let report;
try { report = JSON.parse(reportText); } catch { report = { raw: reportText, parseError: true }; }
// ─── Post-processing: Inject Vision Analysis data directly ───
// Perplexity may ignore Vision data in prompt, so we force-inject critical fields
const vision = channelData.visionAnalysis as Record<string, unknown> | undefined;
if (vision) {
// Force-inject foundingYear if Vision found it but Perplexity didn't
if (vision.foundingYear && (!report.clinicInfo?.established || report.clinicInfo.established === "데이터 없음")) {
report.clinicInfo = report.clinicInfo || {};
report.clinicInfo.established = String(vision.foundingYear);
console.log(`[report] Injected foundingYear from Vision: ${vision.foundingYear}`);
}
if (vision.operationYears && (!report.clinicInfo?.established || report.clinicInfo.established === "데이터 없음")) {
const year = new Date().getFullYear() - Number(vision.operationYears);
report.clinicInfo = report.clinicInfo || {};
report.clinicInfo.established = String(year);
console.log(`[report] Calculated foundingYear from operationYears: ${vision.operationYears}${year}`);
}
// Force-inject doctors from Vision if report has none
const visionDoctors = vision.doctors as { name: string; specialty: string; position?: string }[] | undefined;
if (visionDoctors?.length && (!report.clinicInfo?.doctors?.length)) {
report.clinicInfo = report.clinicInfo || {};
report.clinicInfo.doctors = visionDoctors;
console.log(`[report] Injected ${visionDoctors.length} doctors from Vision`);
}
// Force-inject 강남언니 data from Vision if channelAnalysis has none/zero
const guVision = vision.gangnamUnniStats as Record<string, unknown> | undefined;
if (guVision) {
report.channelAnalysis = report.channelAnalysis || {};
const existing = report.channelAnalysis.gangnamUnni;
if (!existing || existing.score === 0 || !existing.rating) {
const rating = parseFloat(String(guVision.rating || 0));
const reviewStr = String(guVision.reviews || "0").replace(/[^0-9]/g, "");
const reviews = parseInt(reviewStr) || 0;
// Score: rating 10점 만점 기준 + 리뷰 수 보정
const ratingScore = Math.min(rating * 10, 100);
const reviewBonus = Math.min(reviews / 1000, 10); // 1000리뷰당 +1, max +10
const score = Math.round(Math.min(ratingScore + reviewBonus, 100));
report.channelAnalysis.gangnamUnni = {
...(existing || {}),
score,
rating,
ratingScale: 10,
reviews,
doctors: Number(guVision.doctors) || 0,
status: "active",
recommendation: `평점 ${guVision.rating}/10, 리뷰 ${guVision.reviews}건 — 강남언니에서 활발한 활동`,
};
console.log(`[report] Injected gangnamUnni from Vision: score=${score}, rating=${rating}, reviews=${reviews}`);
}
}
// Store Vision analysis separately for frontend
report.visionAnalysis = vision;
}
// Embed channel enrichment data for frontend mergeEnrichment()
report.channelEnrichment = channelData;
report.enrichedAt = new Date().toISOString();
// Embed screenshots as evidence for frontend EvidenceGallery
const screenshots = (channelData.screenshots || []) as Record<string, unknown>[];
if (screenshots.length > 0) {
report.screenshots = screenshots.map((ss: Record<string, unknown>) => ({
id: ss.id,
url: ss.url, // data URI or Storage URL
channel: ss.channel,
capturedAt: ss.capturedAt,
caption: ss.caption,
sourceUrl: ss.sourceUrl,
}));
}
// Embed verified handles
const igHandles = (verified.instagram || []).filter((v: { verified: boolean }) => v.verified).map((v: { handle: string }) => v.handle);
report.socialHandles = {
instagram: igHandles.length > 0 ? igHandles : null,
youtube: verified.youtube?.verified ? verified.youtube.handle : null,
facebook: verified.facebook?.verified ? verified.facebook.handle : null,
};
// Legacy: marketing_reports
await supabase.from("marketing_reports").update({
report,
status: "complete",
pipeline_completed_at: new Date().toISOString(),
updated_at: new Date().toISOString(),
}).eq("id", body.reportId);
// V3: analysis_runs + clinics
const v3RunId = body.runId || null;
const v3ClinicId = body.clinicId || null;
if (v3RunId) {
try {
await supabase.from("analysis_runs").update({
report,
status: "complete",
pipeline_completed_at: new Date().toISOString(),
}).eq("id", v3RunId);
} catch (e) { console.error("V3 run update error:", e); }
}
if (v3ClinicId) {
try {
await supabase.from("clinics").update({
last_analyzed_at: new Date().toISOString(),
established_year: report.clinicInfo?.established ? parseInt(report.clinicInfo.established) || null : null,
updated_at: new Date().toISOString(),
}).eq("id", v3ClinicId);
} catch (e) { console.error("V3 clinic update error:", e); }
}
return new Response(
JSON.stringify({
success: true,
reportId: body.reportId,
report,
metadata: {
url: row.url,
clinicName: row.clinic_name,
generatedAt: new Date().toISOString(),
dataSources: { scraping: true, marketAnalysis: true, aiGeneration: !report.parseError },
socialHandles: report.socialHandles,
address: clinic.address || "",
services: clinic.services || [],
},
}),
{ headers: { ...corsHeaders, "Content-Type": "application/json" } },
);
}
// ─── V1 Legacy: url-based single-call flow (backwards compat) ───
const { url, clinicName } = body;
if (!url) {
return new Response(JSON.stringify({ error: "URL or reportId is required" }), { status: 400, headers: { ...corsHeaders, "Content-Type": "application/json" } });
}
// Call scrape-website
const scrapeRes = await fetch(`${supabaseUrl}/functions/v1/scrape-website`, {
method: "POST", headers: { "Content-Type": "application/json", Authorization: `Bearer ${supabaseKey}` },
body: JSON.stringify({ url, clinicName }),
});
const scrapeResult = await scrapeRes.json();
if (!scrapeResult.success) throw new Error(`Scraping failed: ${scrapeResult.error}`);
const clinic = scrapeResult.data.clinic;
const resolvedName = clinicName || clinic.clinicName || url;
const services = clinic.services || [];
const address = clinic.address || "";
// Call analyze-market
const analyzeRes = await fetch(`${supabaseUrl}/functions/v1/analyze-market`, {
method: "POST", headers: { "Content-Type": "application/json", Authorization: `Bearer ${supabaseKey}` },
body: JSON.stringify({ clinicName: resolvedName, services, address, scrapeData: scrapeResult.data }),
});
const analyzeResult = await analyzeRes.json();
// Generate report with Perplexity (legacy prompt)
const reportPrompt = `당신은 프리미엄 의료 마케팅 전문 분석가입니다. 아래 데이터를 기반으로 종합 마케팅 인텔리전스 리포트를 생성해주세요.
## 수집된 데이터
### 병원 정보
${JSON.stringify(scrapeResult.data, null, 2).slice(0, 6000)}
### 시장 분석
${JSON.stringify(analyzeResult.data?.analysis || {}, null, 2).slice(0, 4000)}
## 리포트 형식 (반드시 아래 JSON 구조로 응답)
{
"clinicInfo": { "name": "병원명", "nameEn": "영문명", "established": "개원년도", "address": "주소", "phone": "전화", "services": [], "doctors": [], "socialMedia": { "instagramAccounts": [], "youtube": "", "facebook": "", "naverBlog": "" } },
"executiveSummary": "요약", "overallScore": 0-100,
"channelAnalysis": { "naverBlog": { "score": 0-100, "status": "active|inactive", "recommendation": "" }, "instagram": { "score": 0-100, "followers": 0, "recommendation": "" }, "youtube": { "score": 0-100, "subscribers": 0, "recommendation": "" }, "naverPlace": { "score": 0-100, "rating": 0, "reviews": 0 }, "gangnamUnni": { "score": 0-100, "rating": 0, "ratingScale": 10, "reviews": 0, "status": "active|not_found" }, "website": { "score": 0-100, "issues": [], "trackingPixels": [], "snsLinksOnSite": false, "mainCTA": "" } },
"brandIdentity": [{ "area": "", "asIs": "", "toBe": "" }],
"kpiTargets": [{ "metric": "", "current": "", "target3Month": "", "target12Month": "" }],
"recommendations": [{ "priority": "high|medium|low", "category": "", "title": "", "description": "", "expectedImpact": "" }],
"newChannelProposals": [{ "channel": "", "priority": "P0|P1|P2", "rationale": "" }],
"marketTrends": []
}`;
const aiRes = await fetch("https://api.perplexity.ai/chat/completions", {
method: "POST",
headers: { "Content-Type": "application/json", Authorization: `Bearer ${PERPLEXITY_API_KEY}` },
body: JSON.stringify({
model: PERPLEXITY_MODEL,
messages: [
{ role: "system", content: "You are a Korean medical marketing analyst. Respond ONLY with valid JSON, no markdown code blocks. Korean for text fields. 강남언니 rating uses 10-point scale." },
{ role: "user", content: reportPrompt },
],
temperature: 0.3,
}),
});
const aiData = await aiRes.json();
let reportText = aiData.choices?.[0]?.message?.content || "";
const jsonMatch = reportText.match(/```(?:json)?\n?([\s\S]*?)```/);
if (jsonMatch) reportText = jsonMatch[1];
let report;
try { report = JSON.parse(reportText); } catch { report = { raw: reportText, parseError: true }; }
// Merge social handles
const scrapeSocial = clinic.socialMedia || {};
const aiSocial = report?.clinicInfo?.socialMedia || {};
const aiIgAccounts: string[] = Array.isArray(aiSocial.instagramAccounts) ? aiSocial.instagramAccounts : aiSocial.instagram ? [aiSocial.instagram] : [];
const scrapeIg = scrapeSocial.instagram ? [scrapeSocial.instagram] : [];
const igHandles = [...new Set([...aiIgAccounts, ...scrapeIg].map((h: string) => normalizeInstagramHandle(h)).filter((h): h is string => h !== null))];
const pickNonEmpty = (...vals: (string | null | undefined)[]): string | null => vals.find(v => v && v.trim().length > 0) || null;
const normalizedHandles = {
instagram: igHandles.length > 0 ? igHandles : null,
youtube: pickNonEmpty(aiSocial.youtube, scrapeSocial.youtube),
facebook: pickNonEmpty(aiSocial.facebook, scrapeSocial.facebook),
blog: pickNonEmpty(aiSocial.naverBlog, scrapeSocial.blog),
};
report.socialHandles = normalizedHandles;
// Save
const { data: saved, error: saveError } = await supabase.from("marketing_reports").insert({
url, clinic_name: resolvedName, report, scrape_data: scrapeResult.data, analysis_data: analyzeResult.data, status: "complete",
}).select("id").single();
if (saveError) console.error("DB save error:", saveError);
return new Response(
JSON.stringify({
success: true, reportId: saved?.id || null, report,
metadata: { url, clinicName: resolvedName, generatedAt: new Date().toISOString(), dataSources: { scraping: scrapeResult.success, marketAnalysis: analyzeResult.success, aiGeneration: !report.parseError }, socialHandles: normalizedHandles, saveError: saveError?.message || null, address, services },
}),
{ headers: { ...corsHeaders, "Content-Type": "application/json" } },
);
} catch (error) {
return new Response(
JSON.stringify({ success: false, error: error.message }),
{ status: 500, headers: { ...corsHeaders, "Content-Type": "application/json" } },
);
}
});
// ─── Helper: Build channel summary from collected data ───
function buildChannelSummary(channelData: Record<string, unknown>, verified: Record<string, unknown>): string {
const parts: string[] = [];
// Instagram
const igAccounts = channelData.instagramAccounts as Record<string, unknown>[] | undefined;
if (igAccounts?.length) {
for (const ig of igAccounts) {
parts.push(`### Instagram @${ig.username}`);
parts.push(`- 팔로워: ${(ig.followers as number || 0).toLocaleString()}명, 게시물: ${ig.posts}`);
parts.push(`- 비즈니스 계정: ${ig.isBusinessAccount ? 'O' : 'X'}`);
parts.push(`- Bio: ${(ig.bio as string || '').slice(0, 200)}`);
}
} else {
parts.push("### Instagram: 데이터 없음");
}
// YouTube
const yt = channelData.youtube as Record<string, unknown> | undefined;
if (yt) {
parts.push(`### YouTube ${yt.handle || yt.channelName}`);
parts.push(`- 구독자: ${(yt.subscribers as number || 0).toLocaleString()}명, 영상: ${yt.totalVideos}개, 총 조회수: ${(yt.totalViews as number || 0).toLocaleString()}`);
parts.push(`- 채널 설명: ${(yt.description as string || '').slice(0, 300)}`);
const videos = yt.videos as Record<string, unknown>[] | undefined;
if (videos?.length) {
parts.push(`- 인기 영상 TOP ${videos.length}:`);
for (const v of videos.slice(0, 5)) {
parts.push(` - "${v.title}" (조회수: ${(v.views as number || 0).toLocaleString()}, 좋아요: ${v.likes})`);
}
}
} else {
parts.push("### YouTube: 데이터 없음");
}
// Facebook
const fb = channelData.facebook as Record<string, unknown> | undefined;
if (fb) {
parts.push(`### Facebook ${fb.pageName}`);
parts.push(`- 팔로워: ${(fb.followers as number || 0).toLocaleString()}, 좋아요: ${fb.likes}`);
parts.push(`- 소개: ${(fb.intro as string || '').slice(0, 200)}`);
}
// 강남언니
const gu = channelData.gangnamUnni as Record<string, unknown> | undefined;
if (gu) {
parts.push(`### 강남언니 ${gu.name}`);
parts.push(`- 평점: ${gu.rating}/10, 리뷰: ${(gu.totalReviews as number || 0).toLocaleString()}`);
const doctors = gu.doctors as Record<string, unknown>[] | undefined;
if (doctors?.length) {
parts.push(`- 등록 의사: ${doctors.map(d => `${d.name}(${d.specialty})`).join(', ')}`);
}
}
// Google Maps
const gm = channelData.googleMaps as Record<string, unknown> | undefined;
if (gm) {
parts.push(`### Google Maps ${gm.name}`);
parts.push(`- 평점: ${gm.rating}/5, 리뷰: ${gm.reviewCount}`);
}
// Naver
const nb = channelData.naverBlog as Record<string, unknown> | undefined;
if (nb) {
parts.push(`### 네이버 블로그: 검색결과 ${nb.totalResults}`);
}
const np = channelData.naverPlace as Record<string, unknown> | undefined;
if (np) {
parts.push(`### 네이버 플레이스: ${np.name} (${np.category})`);
}
// Vision Analysis (from Gemini Vision on screenshots)
const vision = channelData.visionAnalysis as Record<string, unknown> | undefined;
if (vision) {
parts.push("\n### Vision Analysis (스크린샷 기반 추출 데이터)");
if (vision.foundingYear) parts.push(`- 개원 연도: ${vision.foundingYear}`);
if (vision.operationYears) parts.push(`- 운영 기간: ${vision.operationYears}`);
const doctors = vision.doctors as { name: string; specialty: string; position?: string }[] | undefined;
if (doctors?.length) {
parts.push(`- 의료진 (스크린샷 확인): ${doctors.map(d => `${d.name}(${d.specialty}${d.position ? ', ' + d.position : ''})`).join(', ')}`);
}
const certs = vision.certifications as string[] | undefined;
if (certs?.length) parts.push(`- 인증: ${certs.join(', ')}`);
const services = vision.serviceCategories as string[] | undefined;
if (services?.length) parts.push(`- 시술 카테고리: ${services.join(', ')}`);
const slogans = vision.slogans as string[] | undefined;
if (slogans?.length) parts.push(`- 슬로건: ${slogans.join(' / ')}`);
const ytStats = vision.youtubeStats as Record<string, string> | undefined;
if (ytStats) parts.push(`- YouTube (스크린샷): 구독자 ${ytStats.subscribers || '?'}, 영상 ${ytStats.videos || '?'}`);
const igStats = vision.instagramStats as Record<string, string> | undefined;
if (igStats) parts.push(`- Instagram (스크린샷): 팔로워 ${igStats.followers || '?'}, 게시물 ${igStats.posts || '?'}`);
const guStats = vision.gangnamUnniStats as Record<string, unknown> | undefined;
if (guStats) parts.push(`- 강남언니 (스크린샷): 평점 ${guStats.rating || '?'}/10, 리뷰 ${guStats.reviews || '?'}건, 의사 ${guStats.doctors || '?'}`);
}
return parts.join("\n");
}