import "server-only";

import { computePlacementScore, computeScore, type RankedPost } from "@/lib/ranking";
import {
  DEFAULT_WEB_SEARCH_MAX_QUERIES,
  formatGoogleAfterDate,
  PLACEMENT_WEB_SEARCH_MAX_AGE_DAYS,
  PLACEMENT_WEB_SEARCH_MAX_QUERIES,
  PLACEMENT_WEB_SEARCH_TARGET_POSTS,
} from "@/lib/scan-recency";
import {
  isBraveSearchConfigured,
  type BraveWebSearchOptions,
} from "@/lib/services/web-search";
import type { KeywordPriority } from "@/lib/search";
import {
  type ContentBandInput,
  isInContentBand,
} from "@/lib/research-content-band";
import { hasPlacementIntent, looksLikeCasualChat } from "@/lib/topic-anchor";
import type { SearchIntent, SearchTagType } from "@/lib/types/research";
import {
  isAccountTag,
  normalizeThreadsPostUrl,
  normalizeUsername,
  type SimilarAccount,
} from "@/lib/types/research";
import { searchWebThorough } from "@/lib/services/web-search";
import { runWithConcurrency } from "@/lib/utils/concurrency";

export type ScanPostSource = "account" | "keyword" | "web";

export type WebDiscoveredPost = RankedPost & {
  searchTag?: string;
  scanSource?: ScanPostSource;
};

const SOURCE_PRIORITY: Record<ScanPostSource, number> = {
  account: 3,
  keyword: 2,
  web: 1,
};

const SOURCE_SCORE_BOOST: Record<ScanPostSource, number> = {
  account: 1.35,
  keyword: 1,
  web: 0.85,
};

function postKey(post: {
  permalink?: string;
  externalId?: string;
  authorName?: string;
  text: string;
}) {
  return (
    post.permalink ??
    post.externalId ??
    `${post.authorName ?? ""}:${post.text.trim().slice(0, 120)}`
  );
}

function withSource(
  post: RankedPost & { searchTag?: string },
  scanSource: ScanPostSource
): WebDiscoveredPost {
  return {
    ...post,
    scanSource,
    score: post.score * SOURCE_SCORE_BOOST[scanSource],
  };
}

interface TagSearchMeta {
  searchIntent?: SearchIntent;
  searchType?: SearchTagType;
}

/** 每個關鍵字只組 1 條高訊號查詢，控制 Brave 額度 */
function buildPlacementKeywordQueries(tag: string, meta?: TagSearchMeta): string[] {
  const after = formatGoogleAfterDate(PLACEMENT_WEB_SEARCH_MAX_AGE_DAYS);
  const isNeedTag =
    meta?.searchIntent === "需求" ||
    meta?.searchIntent === "求助" ||
    meta?.searchIntent === "痛點";
  const intent = isNeedTag ? "求推薦" : "請問";
  return [`site:threads.com "${tag}" ${intent} after:${after}`];
}

function resolveBraveQueryCap(placementMode: boolean): number {
  const raw = process.env.SCAN_BRAVE_MAX_QUERIES?.trim();
  const parsed = raw ? Number.parseInt(raw, 10) : NaN;
  if (Number.isFinite(parsed) && parsed > 0) {
    return Math.min(parsed, placementMode ? 20 : 30);
  }
  return placementMode ? PLACEMENT_WEB_SEARCH_MAX_QUERIES : DEFAULT_WEB_SEARCH_MAX_QUERIES;
}

function buildKeywordQueries(
  tag: string,
  placementMode: boolean,
  meta?: TagSearchMeta
): string[] {
  if (placementMode) return buildPlacementKeywordQueries(tag, meta);
  return [`site:threads.com "${tag}"`, `site:threads.net "${tag}"`];
}

function passesPlacementWebFilter(
  text: string,
  placementMode: boolean,
  contentBand?: ContentBandInput
): boolean {
  if (!placementMode) return true;
  if (looksLikeCasualChat(text)) return false;
  if (!hasPlacementIntent(text)) return false;
  if (contentBand && !isInContentBand(text, contentBand)) return false;
  return true;
}

function scoreDiscoveredPost(
  raw: {
    text: string;
    permalink: string;
    authorName: string;
    externalId: string;
    postedAt?: Date;
    likeCount?: number;
    replyCount?: number;
  },
  placementMode: boolean
): number {
  return placementMode ? computePlacementScore(raw) : computeScore(raw);
}

function parsePostFromUrl(
  link: string,
  title: string,
  snippet: string,
  searchTag: string,
  scanSource: ScanPostSource = "web",
  placementMode = false
): WebDiscoveredPost | null {
  const permalink = normalizeThreadsPostUrl(link);
  if (!permalink) return null;

  const match = permalink.match(/threads\.com\/@([^/]+)\/post\/([^/?#]+)/i);
  if (!match) return null;

  const text = [title.trim(), snippet.trim()].filter(Boolean).join(" — ");
  if (text.length < 8) return null;

  const authorName = match[1];
  const externalId = match[2];
  const raw = { text, permalink, authorName, externalId };

  return withSource(
    {
      ...raw,
      score: scoreDiscoveredPost(raw, placementMode),
      searchTag,
    },
    scanSource
  );
}

/** 研究地圖裡發現帳號時附帶的參考貼文，直接當高品質種子。 */
export function postFromSimilarAccountSeed(account: SimilarAccount): WebDiscoveredPost | null {
  if (!account.postUrl) return null;
  const permalink = normalizeThreadsPostUrl(account.postUrl);
  if (!permalink) return null;

  const match = permalink.match(/threads\.com\/@([^/]+)\/post\/([^/?#]+)/i);
  if (!match) return null;

  const username = normalizeUsername(account.username) || match[1];
  const tag = `@${username}`;
  const text = (account.reason || `相似帳號 @${username} 的參考貼文`).slice(0, 280);
  const raw = {
    text,
    permalink,
    authorName: username,
    externalId: match[2],
  };

  return withSource(
    {
      ...raw,
      score: computeScore(raw) * 1.2,
      searchTag: tag,
    },
    "account"
  );
}

export interface WebDiscoverOptions {
  perQueryLimit?: number;
  /** 置入模式：優先找求助／求推薦貼文，並用 after: 篩近期 */
  placementMode?: boolean;
  /** 平行查詢數（預設置入 2、一般 2） */
  concurrency?: number;
  /** 標籤的 searchIntent / searchType，用於組更精準的網搜查詢 */
  tagMeta?: Map<string, TagSearchMeta>;
  /** 置入模式：研究地圖的受眾問題／內容支柱／排除項 */
  contentBand?: ContentBandInput;
  /** Brave 網搜最多幾次查詢；達標或超額即停 */
  maxQueries?: number;
  /** 找到足夠貼文後停止 */
  targetPosts?: number;
  /** 0 表示不跑 Brave 網搜 */
  braveQueryBudget?: number;
  /** MVP：僅 high priority 使用 Brave */
  keywordPriority?: KeywordPriority;
  onProgress?: (message: string) => void | Promise<void>;
}

function resolveBraveSearchOptions(
  placementMode: boolean,
  keywordPriority?: KeywordPriority
): BraveWebSearchOptions {
  const priority = keywordPriority ?? (placementMode ? "high" : "medium");
  return {
    patrolMode: true,
    priority,
    threadsOnly: true,
  };
}

/** 用 Brave Search 找 Threads 貼文連結（Threads API／爬蟲不足時的補充）。 */
export async function discoverPostsViaWebSearch(
  tags: string[],
  options?: WebDiscoverOptions
): Promise<WebDiscoveredPost[]> {
  const perQueryLimit = options?.perQueryLimit ?? 10;
  const placementMode = options?.placementMode ?? false;
  const contentBand = options?.contentBand;
  const concurrency = options?.concurrency ?? 2;
  const maxQueries =
    options?.maxQueries ?? options?.braveQueryBudget ?? resolveBraveQueryCap(placementMode);
  const targetPosts =
    options?.targetPosts ?? (placementMode ? PLACEMENT_WEB_SEARCH_TARGET_POSTS : 30);
  const onProgress = options?.onProgress;
  const braveOptions = resolveBraveSearchOptions(placementMode, options?.keywordPriority);
  const keywordTags = tags.filter((t) => !isAccountTag(t));
  if (keywordTags.length === 0 && !contentBand) return [];

  if (braveOptions.priority !== "high") {
    await onProgress?.("略過 Brave 網搜（僅 high priority keyword 使用 Brave）");
    return [];
  }

  if (maxQueries <= 0) {
    await onProgress?.("已略過 Brave 網搜（額度保護）");
    return [];
  }

  type QueryJob = { tag: string; query: string };
  const jobs: QueryJob[] = [];
  for (const tag of keywordTags) {
    const meta = options?.tagMeta?.get(tag);
    for (const query of buildKeywordQueries(tag, placementMode, meta)) {
      jobs.push({ tag, query });
    }
  }

  if (placementMode && contentBand) {
    const after = formatGoogleAfterDate(PLACEMENT_WEB_SEARCH_MAX_AGE_DAYS);
    const bandPhrases = [
      ...contentBand.questions.slice(0, 2),
      ...contentBand.pillars.slice(0, 1),
    ]
      .map((p) => p.trim())
      .filter((p) => p.length >= 4 && p.length <= 16);
    for (const phrase of bandPhrases) {
      jobs.push({
        tag: phrase,
        query: `site:threads.com "${phrase}" 求推薦 after:${after}`,
      });
    }
  }

  const seen = new Set<string>();
  const posts: WebDiscoveredPost[] = [];
  let queriesUsed = 0;
  let jobIndex = 0;

  const mergeFound = (found: WebDiscoveredPost[]) => {
    for (const post of found) {
      const key = postKey(post);
      if (seen.has(key)) continue;
      seen.add(key);
      posts.push(post);
    }
  };

  const runJob = async (job: QueryJob): Promise<WebDiscoveredPost[]> => {
    try {
      const { results } = await searchWebThorough(job.query, perQueryLimit, braveOptions);
      const found: WebDiscoveredPost[] = [];
      for (const item of results) {
        const post = parsePostFromUrl(
          item.link,
          item.title,
          item.snippet,
          job.tag,
          "web",
          placementMode
        );
        if (post && passesPlacementWebFilter(post.text, placementMode, contentBand)) {
          found.push(post);
        }
      }
      return found;
    } catch {
      return [];
    }
  };

  while (
    jobIndex < jobs.length &&
    queriesUsed < maxQueries &&
    posts.length < targetPosts
  ) {
    const chunk = jobs.slice(jobIndex, jobIndex + concurrency);
    jobIndex += chunk.length;
    queriesUsed += chunk.length;

    const batches = await runWithConcurrency(chunk, runJob, {
      concurrency,
      staggerMs: placementMode ? [600, 1400] : [2000, 5000],
    });
    mergeFound(batches.flat());

    await onProgress?.(
      `網搜 ${queriesUsed}/${Math.min(maxQueries, jobs.length)} 次 · 已找到 ${posts.length} 篇` +
        (posts.length >= targetPosts ? "（達標，停止）" : "")
    );
  }

  if (posts.length === 0 && !isBraveSearchConfigured()) {
    await onProgress?.("未設定 BRAVE_SEARCH_API_KEY，請以 Threads API／瀏覽器海巡為主");
  }

  return posts.sort((a, b) => b.score - a.score);
}

/** 對相似帳號用 site:@username 網搜，在無法開瀏覽器時也能補到帳號向貼文。 */
export async function discoverPostsFromSimilarAccounts(
  accounts: SimilarAccount[],
  options?: {
    perAccountLimit?: number;
    placementMode?: boolean;
    keywordPriority?: KeywordPriority;
  }
): Promise<WebDiscoveredPost[]> {
  const placementMode = options?.placementMode ?? false;
  const braveOptions = resolveBraveSearchOptions(placementMode, options?.keywordPriority);
  const useBrave = braveOptions.priority === "high";
  const perAccountLimit = options?.perAccountLimit ?? 10;
  const seen = new Set<string>();
  const posts: WebDiscoveredPost[] = [];

  for (const account of accounts) {
    const username = normalizeUsername(account.username);
    if (!username) continue;
    const tag = `@${username}`;

    // account.reason 是「為何推薦此帳號」，不是貼文原文；不可把它冒充成貼文顯示。

    const after = placementMode ? ` after:${formatGoogleAfterDate(PLACEMENT_WEB_SEARCH_MAX_AGE_DAYS)}` : "";
    const queries = placementMode
      ? [
          `site:threads.com/@${username} 求推薦${after}`,
          `site:threads.com/@${username} 請益${after}`,
          `site:threads.com/@${username}${after}`,
          `site:threads.net/@${username}${after}`,
        ]
      : [`site:threads.com/@${username}`, `site:threads.net/@${username}`];

    if (!useBrave) continue;

    for (const query of queries) {
      try {
        const { results } = await searchWebThorough(query, perAccountLimit, braveOptions);
        for (const item of results) {
          const post = parsePostFromUrl(
            item.link,
            item.title,
            item.snippet,
            tag,
            "account",
            placementMode
          );
          if (!post) continue;
          const key = postKey(post);
          if (seen.has(key)) continue;
          seen.add(key);
          posts.push(post);
        }
      } catch {
        // 單一帳號失敗不阻擋整次海巡
      }
    }
  }

  return posts.sort((a, b) => b.score - a.score);
}

function pickPreferredPost(
  existing: WebDiscoveredPost,
  incoming: WebDiscoveredPost
): WebDiscoveredPost {
  const existingPriority = SOURCE_PRIORITY[existing.scanSource ?? "keyword"];
  const incomingPriority = SOURCE_PRIORITY[incoming.scanSource ?? "keyword"];
  if (incomingPriority > existingPriority) return incoming;
  if (incomingPriority < existingPriority) return existing;
  return incoming.score >= existing.score ? incoming : existing;
}

export function mergeScanPosts(
  primary: WebDiscoveredPost[],
  supplemental: WebDiscoveredPost[],
  max: number
): WebDiscoveredPost[] {
  const byKey = new Map<string, WebDiscoveredPost>();

  for (const post of [...primary, ...supplemental]) {
    const key = postKey(post);
    const existing = byKey.get(key);
    byKey.set(key, existing ? pickPreferredPost(existing, post) : post);
  }

  return [...byKey.values()].sort((a, b) => b.score - a.score).slice(0, max);
}

export function tagPostSource<T extends RankedPost & { searchTag?: string }>(
  post: T,
  scanSource: ScanPostSource
): WebDiscoveredPost {
  return withSource(post, scanSource);
}