// Mock data for the prototype.
// Each website maps to three communities; each community has sentiment,
// trending keywords, posts (Relevance/Hot/Top/New), and blueprint guidance.

const SITES_DB = {
  "legitreach.com": {
    name: "legitreach.com",
    label: "Community intelligence platform",
    communities: [
      {
        id: "c1",
        name: "r/Entrepreneur",
        members: "4.1M",
        active: "2,310 online",
        overlap: 0.74,
        sentiment: [
          { label: "Positive",  value: 47, color: "#5cd197" },
          { label: "Neutral",   value: 28, color: "#888"    },
          { label: "Curious",   value: 16, color: "#f0c054" },
          { label: "Critical",  value: 9,  color: "#e07b7b" },
        ],
        posts: [
          { id: "p1", author: "u/dispatch_co",  title: "I killed our $40k/mo ad budget and our pipeline actually grew", score: 1247, comments: 318, age: "3h",  rel: 0.94, hot: 0.91, top: 0.99, new: 0.42, flair: "Discussion" },
          { id: "p2", author: "u/main_st_h",    title: "Founder voice > AI replies — 12 month case study with numbers", score:  642, comments: 184, age: "6h",  rel: 0.89, hot: 0.74, top: 0.82, new: 0.34, flair: "Case Study" },
          { id: "p3", author: "u/late_night_pm",title: "Anyone else completely burnt out on LinkedIn growth-hacks?",     score:  208, comments:  96, age: "1h",  rel: 0.78, hot: 0.96, top: 0.41, new: 0.88, flair: "Vent" },
          { id: "p4", author: "u/saas_in_3yrs", title: "How we got our first 100 customers from Reddit (no ads)",        score:  912, comments: 244, age: "11h", rel: 0.86, hot: 0.62, top: 0.93, new: 0.18, flair: "Lessons" },
          { id: "p5", author: "u/the_kraken",   title: "PMF feels like fog — what helped you finally see it?",            score:   84, comments:  31, age: "22m", rel: 0.71, hot: 0.84, top: 0.22, new: 0.97, flair: "Question" },
          { id: "p6", author: "u/forge_works",  title: "We open-sourced our community-led GTM playbook",                 score:  531, comments: 128, age: "14h", rel: 0.81, hot: 0.51, top: 0.78, new: 0.11, flair: "Resource" },
          { id: "p7", author: "u/q_for_pms",    title: "Stop reading distribution advice from people with no distribution", score: 1421, comments: 392, age: "9h", rel: 0.74, hot: 0.79, top: 0.95, new: 0.27, flair: "Hot Take" },
        ],
        blueprint: [
          { kind: "read",  title: "A post worth reading",
            line: "u/saas_in_3yrs broke down a no-ads path to 100 customers — the comment thread is where the real signal is.",
            postRef: "How we got our first 100 customers from Reddit (no ads)",
            cta: "Open thread" },
          { kind: "join",  title: "Join the conversation",
            line: "u/late_night_pm just opened a vent thread about LinkedIn fatigue. Genuine empathy beats a pitch here — 96 comments and still hot.",
            postRef: "Anyone else completely burnt out on LinkedIn growth-hacks?",
            cta: "Draft reply" },
          { kind: "give",  title: "Give back to the community",
            line: "Three founders are asking how to find PMF. Share the framework you actually used — no link, no funnel, just the answer.",
            postRef: "PMF feels like fog — what helped you finally see it?",
            cta: "Write answer" },
        ],
        trending: {
          author: "u/dispatch_co",
          title: "I killed our $40k/mo ad budget and our pipeline actually grew",
          score: 1247,
          comments: 318,
          age: "3h"
        },
        suggestedComment:
          "We dropped paid last quarter too. The thing nobody talks about: most of the early signal lives in comment threads, not posts. Curious — are you mining the comments or just the OPs?",
        suggestedPost: {
          title: "We tracked 67 founders who quit paid ads. Here is what worked.",
          body: "Pulled this together from a month of customer-discovery calls. Sharing the three patterns that mapped to lower CAC across 14 verticals…"
        }
      },
      {
        id: "c2",
        name: "r/SmallBusiness",
        members: "2.8M",
        active: "1,180 online",
        overlap: 0.61,
        sentiment: [
          { label: "Positive",  value: 38, color: "#5cd197" },
          { label: "Neutral",   value: 34, color: "#888"    },
          { label: "Curious",   value: 14, color: "#f0c054" },
          { label: "Critical",  value: 14, color: "#e07b7b" },
        ],
        posts: [
          { id: "p1", author: "u/main_st_bakery",  title: "Our 'social media manager' was just running ChatGPT on autopilot — feel betrayed", score: 892, comments: 241, age: "5h",  rel: 0.96, hot: 0.93, top: 0.92, new: 0.41, flair: "Vent" },
          { id: "p2", author: "u/corner_florist",  title: "Killed our agency retainer. 4 months later: more leads, less spend.",                score: 612, comments: 178, age: "9h",  rel: 0.88, hot: 0.68, top: 0.84, new: 0.22, flair: "Win" },
          { id: "p3", author: "u/cafe_owner_x",    title: "Google review pulled down — what's the actual escalation path in 2026?",             score:  92, comments:  44, age: "38m", rel: 0.74, hot: 0.95, top: 0.18, new: 0.99, flair: "Help" },
          { id: "p4", author: "u/sole_prop_22",    title: "How do I actually sound human online when I am genuinely too busy?",                  score: 188, comments:  72, age: "2h",  rel: 0.81, hot: 0.86, top: 0.32, new: 0.78, flair: "Question" },
          { id: "p5", author: "u/dt_dental",       title: "Audited 8 agencies this quarter. 6 were running pure GPT. AMA.",                       score: 731, comments: 312, age: "14h", rel: 0.85, hot: 0.59, top: 0.88, new: 0.14, flair: "AMA" },
          { id: "p6", author: "u/ts_handmade",     title: "Trust signals that actually moved conversion (no, not badges)",                       score: 421, comments:  98, age: "20h", rel: 0.79, hot: 0.42, top: 0.74, new: 0.08, flair: "Lessons" },
        ],
        blueprint: [
          { kind: "read",  title: "A post worth reading",
            line: "u/dt_dental audited eight social agencies and shared the patterns. The comments are full of owners realising they were paying for bots.",
            postRef: "Audited 8 agencies this quarter. 6 were running pure GPT. AMA.",
            cta: "Open thread" },
          { kind: "join",  title: "Join the conversation",
            line: "u/main_st_bakery is venting about an agency that ran ChatGPT on autopilot. Don't pitch — just acknowledge. Three competitors already tried and were called out.",
            postRef: "Our 'social media manager' was just running ChatGPT on autopilot",
            cta: "Draft reply" },
          { kind: "give",  title: "Give back to the community",
            line: "u/cafe_owner_x needs the real Google review escalation path — most replies are guessing. Share the steps that actually work.",
            postRef: "Google review pulled down — what's the actual escalation path in 2026?",
            cta: "Write answer" },
        ],
        trending: {
          author: "u/main_st_bakery",
          title: "Our 'social media manager' was just running ChatGPT on autopilot — feel betrayed",
          score: 892,
          comments: 241,
          age: "5h"
        },
        suggestedComment:
          "This is the third post like this I've seen this week. The tell is usually reply cadence — too even, no idle hours. Worth asking the agency for their tooling stack on the next renewal.",
        suggestedPost: {
          title: "Audit your agency: 4 reply-pattern checks that catch bot armies in 5 min",
          body: "Sharing the checklist we use internally. Walks through reply-cadence, emoji frequency, and the dead-giveaway 'fluent but generic' tell…"
        }
      },
      {
        id: "c3",
        name: "r/marketing",
        members: "1.5M",
        active: "892 online",
        overlap: 0.58,
        sentiment: [
          { label: "Positive",  value: 41, color: "#5cd197" },
          { label: "Neutral",   value: 31, color: "#888"    },
          { label: "Curious",   value: 18, color: "#f0c054" },
          { label: "Critical",  value: 10, color: "#e07b7b" },
        ],
        posts: [
          { id: "p1", author: "u/cmo_diaries",     title: "Reddit is the most under-priced B2B channel of 2026. Change my mind.", score: 1842, comments: 487, age: "7h",  rel: 0.97, hot: 0.92, top: 0.98, new: 0.32, flair: "Hot Take" },
          { id: "p2", author: "u/attrib_geek",     title: "Dark social isn't dark, your tracking is bad",                          score:  734, comments: 198, age: "4h",  rel: 0.88, hot: 0.88, top: 0.81, new: 0.62, flair: "Discussion" },
          { id: "p3", author: "u/growth_zoe",      title: "We mapped 100 community threads to revenue. Sharing the spreadsheet.",  score:  512, comments: 142, age: "12h", rel: 0.92, hot: 0.61, top: 0.86, new: 0.16, flair: "Resource" },
          { id: "p4", author: "u/new_to_b2b",      title: "First-touch attribution feels broken for community-led GTM. Help?",     score:  118, comments:  54, age: "44m", rel: 0.80, hot: 0.94, top: 0.24, new: 0.96, flair: "Question" },
          { id: "p5", author: "u/podcast_funnel",  title: "Podcast-first GTM: 18 months in, here is what we'd undo",               score:  398, comments:  88, age: "18h", rel: 0.74, hot: 0.48, top: 0.71, new: 0.09, flair: "Lessons" },
          { id: "p6", author: "u/cmo_redux",       title: "Stop calling everything dark social and just measure intent.",          score:  221, comments:  74, age: "2h",  rel: 0.76, hot: 0.85, top: 0.44, new: 0.82, flair: "Hot Take" },
        ],
        blueprint: [
          { kind: "read",  title: "A post worth reading",
            line: "u/cmo_diaries argues Reddit is the most under-priced B2B channel of 2026 — and the 487-comment debate has the actual receipts.",
            postRef: "Reddit is the most under-priced B2B channel of 2026.",
            cta: "Open thread" },
          { kind: "join",  title: "Join the conversation",
            line: "u/attrib_geek is reframing dark social as bad tracking. CMOs are split — a well-cited counterpoint right now has high upside.",
            postRef: "Dark social isn't dark, your tracking is bad",
            cta: "Draft reply" },
          { kind: "give",  title: "Give back to the community",
            line: "u/new_to_b2b is asking for an attribution model that works for community-led GTM. Share yours, with the failure modes — not just the diagram.",
            postRef: "First-touch attribution feels broken for community-led GTM. Help?",
            cta: "Write answer" },
        ],
        trending: {
          author: "u/cmo_diaries",
          title: "Reddit is the most under-priced B2B channel of 2026. Change my mind.",
          score: 1842,
          comments: 487,
          age: "7h"
        },
        suggestedComment:
          "Hard agree. The compounding part is what most teams miss — a reply from month one keeps surfacing in search forever. We measured a 9× lift on cost-per-qualified-lead vs LinkedIn for the same effort.",
        suggestedPost: {
          title: "Mapping subreddit conversations to closed-won pipeline — what we found",
          body: "Six-month study, 14 SaaS companies, manual + LegitReach tagging. The threads that closed deals weren't the ones with the most upvotes…"
        }
      },
    ]
  },
  "dispatch.co": {
    name: "dispatch.co",
    label: "Headless commerce for indie brands",
    communities: [
      { id: "c1", name: "r/shopify",       members: "320K", active: "412 online", overlap: 0.68 },
      { id: "c2", name: "r/ecommerce",     members: "510K", active: "684 online", overlap: 0.55 },
      { id: "c3", name: "r/indiebiz",      members: "84K",  active: "121 online", overlap: 0.49 },
    ]
  },
  "linenfield.co": {
    name: "linenfield.co",
    label: "Heritage linen, direct from mill",
    communities: [
      { id: "c1", name: "r/malefashionadvice", members: "5.2M", active: "1.8K online", overlap: 0.51 },
      { id: "c2", name: "r/buyitforlife",      members: "1.9M", active: "604 online",  overlap: 0.62 },
      { id: "c3", name: "r/sewing",            members: "830K", active: "298 online",  overlap: 0.41 },
    ]
  }
};

// Default placeholders for the agency-view sites that don't have full data —
// reuse legitreach insights but adapt names lightly.
function getSite(host) {
  const base = SITES_DB[host] || SITES_DB["legitreach.com"];
  if (base.communities[0].sentiment) return base;
  const ref = SITES_DB["legitreach.com"];
  return {
    ...base,
    communities: base.communities.map((c, i) => ({
      ...c,
      sentiment: ref.communities[i].sentiment,
      posts:     ref.communities[i].posts,
      blueprint: ref.communities[i].blueprint,
      trending:  ref.communities[i].trending,
      suggestedComment: ref.communities[i].suggestedComment,
      suggestedPost:    ref.communities[i].suggestedPost,
    }))
  };
}

// Each stage has substages with a counter target the UI can tick up against.
// Totals are tuned to feel like work, not filler.
const LOAD_STAGES = [
  {
    key: "site", label: "indexing site", ms: 5000,
    substages: [
      { msg: "resolving DNS",          counter: { label: "ms",    from: 0, to: 184 } },
      { msg: "fetching homepage",      counter: { label: "kB",    from: 0, to: 412 } },
      { msg: "parsing sitemap",        counter: { label: "urls",  from: 0, to: 142 } },
      { msg: "extracting brand voice", counter: { label: "tokens",from: 0, to: 8400 } },
      { msg: "tagging keywords",       counter: { label: "tags",  from: 0, to: 67 } },
    ],
  },
  {
    key: "sentiment", label: "measuring sentiment", ms: 8000,
    substages: [
      { msg: "scanning subreddits",        counter: { label: "scanned", from: 0, to: 14823 } },
      { msg: "computing semantic distance",counter: { label: "vectors", from: 0, to: 6212 } },
      { msg: "filtering 24h window",       counter: { label: "threads", from: 0, to: 9418 } },
      { msg: "scoring tone",               counter: { label: "scored",  from: 0, to: 1842 } },
      { msg: "ranking keywords",           counter: { label: "terms",   from: 0, to: 16 } },
    ],
  },
  {
    key: "engagement", label: "ranking posts", ms: 7000,
    substages: [
      { msg: "pulling top-of-feed",        counter: { label: "posts",     from: 0, to: 482 } },
      { msg: "scoring relevance",          counter: { label: "scored",    from: 0, to: 482 } },
      { msg: "checking mod rules",         counter: { label: "rules",     from: 0, to: 14 } },
      { msg: "filtering self-promo",       counter: { label: "filtered",  from: 0, to: 28 } },
      { msg: "consolidating shortlist",    counter: { label: "ready",     from: 0, to: 7 } },
    ],
  },
  {
    key: "blueprint", label: "drafting blueprint", ms: 6000,
    substages: [
      { msg: "finding worth-reading post", counter: { label: "candidates", from: 0, to: 47 } },
      { msg: "composing reply angle",      counter: { label: "drafts",     from: 0, to: 6 } },
      { msg: "shaping give-back answer",   counter: { label: "outlines",   from: 0, to: 4 } },
      { msg: "self-promo ratio",           counter: { label: "ratio",      from: 0, to: 12 } },
      { msg: "ready",                      counter: { label: "actions",    from: 0, to: 3 } },
    ],
  },
];

// Old name kept for compatibility.
const LOADING_STAGES = [
  { label: "Authenticating handshake",        detail: "TLS · legitimacy probe",                   ms: 700 },
  { label: "Indexing website",                detail: "crawl · 142 URLs · sitemap parsed",        ms: 1200 },
  { label: "Extracting brand signal",         detail: "tone · vocabulary · positioning",          ms: 900 },
  { label: "Mapping Reddit communities",      detail: "14,800 subreddits · semantic match",       ms: 1300 },
  { label: "Scoring 24h conversation overlap",detail: "language-as-physics · field simulation",   ms: 1100 },
  { label: "Generating community insights",   detail: "human-in-loop ready",                      ms: 900 },
];

// ─── Map raw API responses → the site data shape Terminal expects ───────────
//
// scanData  = POST /api/tech-week/magic-scan response
// curateData = POST /api/tech-week/curate response (may be null while curating)
//
function mapApiDataToSite(host, scanData, curateData) {
  // magic-scan returns "brandProfile" as the key
  const { brandProfile: brand, community } = scanData;
  const { sentiment: sResult, engagement, creation } = curateData || {};

  function formatAge(utc) {
    if (!utc) return "—";
    const diff = Math.floor(Date.now() / 1000 - utc);
    if (diff < 3600)  return Math.floor(diff / 60)   + "m";
    if (diff < 86400) return Math.floor(diff / 3600)  + "h";
    return Math.floor(diff / 86400) + "d";
  }

  const sub = community.subreddit || "";
  const communityName = sub.startsWith("r/") ? sub : "r/" + sub;

  // Sentiment — real breakdown from Gemini (based on actual upvote_ratio + post content)
  // Falls back to placeholder while curate is still loading (curateData null)
  const bd = curateData && curateData.sentimentBreakdown;
  const sentimentData = [
    { label: "Positive", value: bd ? bd.positive : 45, color: "#5cd197" },
    { label: "Neutral",  value: bd ? bd.neutral  : 30, color: "#888"    },
    { label: "Curious",  value: bd ? bd.curious  : 16, color: "#f0c054" },
    { label: "Critical", value: bd ? bd.critical :  9, color: "#e07b7b" },
  ];

  // Posts for the Engagement tab.
  // Primary: engagementPosts from curate — the top hot posts that are NOT in
  // the blueprint. Gives the user fresh material to respond to.
  // Fallback: the 2 blueprint-selected posts (old behaviour, used while curate
  // is still loading or if engagementPosts is absent).
  var posts = [];
  var rawEngPosts = curateData && curateData.engagementPosts;
  if (rawEngPosts && rawEngPosts.length > 0) {
    // Compute sort scores from real Reddit data
    var maxScore = Math.max.apply(null, rawEngPosts.map(function(p) { return p.score || 1; }));
    var nowSec = Math.floor(Date.now() / 1000);
    var times = rawEngPosts.map(function(p) { return p.created_utc || nowSec; });
    var oldestTime = Math.min.apply(null, times);
    var newestTime = Math.max.apply(null, times);
    var timeSpan = Math.max(newestTime - oldestTime, 1);

    rawEngPosts.forEach(function(p) {
      var scoreNorm  = Math.min(1, (p.score || 0) / maxScore);
      var upvote     = p.upvote_ratio != null ? p.upvote_ratio : 0.75;
      var recency    = ((p.created_utc || oldestTime) - oldestTime) / timeSpan;
      posts.push({
        id:       p.id,
        author:   "u/" + (p.author || "unknown"),
        title:    p.title || "",
        score:    p.score || 0,
        comments: p.num_comments || 0,
        age:      formatAge(p.created_utc),
        rel:  Math.round((0.6 * scoreNorm + 0.4 * upvote) * 100) / 100,
        hot:  Math.round(upvote * 100) / 100,
        top:  Math.round(scoreNorm * 100) / 100,
        new:  Math.round(recency * 100) / 100,
        flair: p.link_flair_text || "",
        url:      p.url || null,
        permalink: p.permalink || ""
      });
    });
  } else {
    // Fallback while curate hasn't resolved yet
    if (sResult && sResult.post) {
      posts.push({
        id: sResult.post.id || "sr1",
        author: "u/" + (sResult.post.author || "unknown"),
        title: sResult.post.title || "",
        score: sResult.post.score || 0,
        comments: sResult.post.num_comments || 0,
        age: formatAge(sResult.post.created_utc),
        rel: 0.94, hot: 0.62, top: 0.81, new: 0.45,
        flair: "Read",
        url: sResult.post.url || null,
        permalink: sResult.post.permalink || ""
      });
    }
    if (engagement && engagement.post) {
      posts.push({
        id: engagement.post.id || "er1",
        author: "u/" + (engagement.post.author || "unknown"),
        title: engagement.post.title || "",
        score: engagement.post.score || 0,
        comments: engagement.post.num_comments || 0,
        age: formatAge(engagement.post.created_utc),
        rel: 0.89, hot: 0.92, top: 0.74, new: 0.38,
        flair: "Hot",
        url: engagement.post.url || null,
        permalink: engagement.post.permalink || ""
      });
    }
  }

  // Blueprint cards — read / join / give
  // postUrl present on read/join so the CTA button opens Reddit directly.
  // give has no existing post URL (it's an original post suggestion).
  var blueprint = [
    {
      kind: "read",
      title: "A post worth reading",
      line: (sResult && sResult.communityInsight) ||
            "Read this thread to understand what this community cares about.",
      postRef:  (sResult && sResult.post && sResult.post.title) || "",
      postUrl:  (sResult && sResult.post && sResult.post.url) || null,
      score:    (sResult && sResult.post && sResult.post.score) || 0,
      comments: (sResult && sResult.post && sResult.post.num_comments) || 0,
      age:      (sResult && sResult.post) ? formatAge(sResult.post.created_utc) : "—",
      cta: "Open thread"
    },
    {
      kind: "join",
      title: "Join the conversation",
      line: (engagement && engagement.whyThisPost) ||
            "This post is ready for a thoughtful, value-adding reply.",
      postRef:  (engagement && engagement.post && engagement.post.title) || "",
      postUrl:  (engagement && engagement.post && engagement.post.url) || null,
      score:    (engagement && engagement.post && engagement.post.score) || 0,
      comments: (engagement && engagement.post && engagement.post.num_comments) || 0,
      age:      (engagement && engagement.post) ? formatAge(engagement.post.created_utc) : "—",
      cta: "Draft reply"
    },
    {
      kind: "give",
      title: "Give back to the community",
      line: (creation && (creation.postingTips ||
             (creation.contentOutline || []).slice(0, 2).join(" "))) ||
            "Share your expertise with an original post.",
      postRef: (creation && creation.suggestedTitle) || "Write an original post",
      postUrl:  null,
      cta: "Write post"
    }
  ];

  // trending = engagement post (drives ActionModal upvote/comment targets)
  var trending = {
    author: (engagement && engagement.post)
      ? "u/" + (engagement.post.author || "unknown") : "",
    title:    (engagement && engagement.post && engagement.post.title) || "",
    score:    (engagement && engagement.post && engagement.post.score)    || 0,
    comments: (engagement && engagement.post && engagement.post.num_comments) || 0,
    age:      (engagement && engagement.post)
      ? formatAge(engagement.post.created_utc) : "",
    url:      (engagement && engagement.post && engagement.post.url) || null
  };

  // nicheScore is on brandProfile: 1=niche 2=mid 3=commodity
  // niche → tight overlap (high), commodity → broad (lower)
  var overlap = brand.nicheScore
    ? Math.max(0.30, Math.round((4 - brand.nicheScore) / 3 * 100) / 100)
    : 0.65;

  return {
    name:  host,
    label: brand.tagline || brand.businessDescription || host,
    communities: [{
      id:      "c1",
      name:    communityName,
      members: (curateData && curateData.communityStats && curateData.communityStats.subscribers) || community.size || "—",
      active:  (curateData && curateData.communityStats && curateData.communityStats.activeUsers)  || "Live",
      overlap: overlap,
      sentiment: sentimentData,
      posts:     posts,
      blueprint: blueprint,
      trending:  trending,
      suggestedComment: (engagement && engagement.draftComment) || "Share your thoughts here…",
      suggestedPost: {
        title: (creation && creation.suggestedTitle) || "",
        body:  (creation && (creation.contentOutline || []).join("\n\n")) || ""
      }
    }]
  };
}

Object.assign(window, { SITES_DB, getSite, LOADING_STAGES, LOAD_STAGES, mapApiDataToSite });