feat: 搜索改为子串匹配,支持多关键词、排除词与分页加载

- 不再依赖 zhparser 分词:关键词按空格拆分,全部需在描述或语音转写中以子串出现;-词 表示排除
- 英文/数字关键词要求词首对齐,避免 ai 命中 said
- 按描述/转写命中次数打分,同分按发布时间倒序;总数随查询一并返回
- 返回结构化高亮片段(descParts / snippet),前端高亮描述与转写命中位置
- 前端显示描述/语音命中标记、真实结果总数,并支持加载更多

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-11-08 22:43:15 +08:00
co-authored by Claude Opus 5.5
parent 11d9d35002
commit 182ca9cf05
3 changed files with 489 additions and 257 deletions
+165 -196
View File
@@ -1,36 +1,36 @@
import { NextResponse } from "next/server";
import { isVideoContentTag } from "@/lib/video-tags";
import { json } from "@/lib/json";
import { getFileUrl } from "@/lib/minio";
import { prisma } from "@/lib/prisma";
import {
buildSnippet,
highlightAll,
parseSearchQuery,
termToPgPattern,
} from "@/lib/search";
import { isVideoContentTag } from "@/lib/video-tags";
type SearchRow = {
id: string;
awemeId: string;
type: "video" | "image";
rank: number;
snippet: string;
score: number;
inDesc: boolean;
inTranscript: boolean;
rawDesc: string;
rawTranscript: string;
contentTags: string[];
total: number;
};
function sanitizeSnippetHtml(snippet: string) {
return snippet
.replaceAll("&", "&amp;")
.replaceAll("<", "&lt;")
.replaceAll(">", "&gt;")
.replaceAll("&lt;mark&gt;", "<mark>")
.replaceAll("&lt;/mark&gt;", "</mark>");
}
export async function GET(req: Request) {
const { searchParams } = new URL(req.url);
const q = (searchParams.get("q") || "").trim();
const rawTag = (searchParams.get("tag") || "").trim();
const contentTag = rawTag && isVideoContentTag(rawTag) ? rawTag : null;
const page = Math.max(1, Number(searchParams.get("page") || 1));
const page = Math.max(1, Math.floor(Number(searchParams.get("page")) || 1));
const limit = Math.min(
50,
Math.max(1, Number(searchParams.get("limit") || 20)),
Math.max(1, Math.floor(Number(searchParams.get("limit")) || 20)),
);
const offset = (page - 1) * limit;
@@ -38,129 +38,85 @@ export async function GET(req: Request) {
return NextResponse.json({ error: "Invalid tag" }, { status: 400 });
}
if (!q && !contentTag) {
return NextResponse.json({ results: [], total: 0 });
const { terms, excludes } = parseSearchQuery(q);
if (terms.length === 0 && !contentTag) {
return json({ results: [], total: 0, page, limit, terms });
}
// 关键词已在 parseSearchQuery 里转为小写,这里转成正则后与 lower() 后的文本匹配
const patterns = terms.map(termToPgPattern);
const excludePatterns = excludes.map(termToPgPattern);
try {
// 核心查询:Postgres 中文全文检索(视频转写 + 视频desc + 图文desc)+ 相关度排序 + 摘要高亮
// 说明:
// - 合并搜索来源:VideoTranscript.transcript_zh_tsv、Video.desc 与 ImagePost.desc
// - 使用 UNION ALL 合并视频和图文的搜索结果
// - rank 取两者匹配得分的最大值,snippet 优先展示转写匹配,否则展示 desc 匹配
const rows = q
? await prisma.$queryRaw<SearchRow[]>`
WITH tsq AS (
SELECT websearch_to_tsquery('zhcfg', ${q}) AS query
// 子串匹配:每个关键词都必须出现在「描述 + 语音转写」里(不区分大小写),
// 不依赖分词,所以输入任意片段都能搜到。数据量小,全表扫描足够快。
// 打分:描述命中权重更高,按出现次数累加(设上限防止长转写刷分);同分按发布时间倒序。
// 没有关键词、只按标签筛选时,score 都是 0,等价于按时间排序。
const rows = await prisma.$queryRaw<SearchRow[]>`
WITH params AS (
SELECT ${patterns}::text[] AS terms, ${excludePatterns}::text[] AS excludes
),
docs AS (
SELECT
v.aweme_id AS "awemeId",
'video'::text AS type,
v."desc" AS "rawDesc",
COALESCE(array_to_string(vt.transcript, E'\n'), '') AS "rawTranscript",
v.created_at AS created,
v.manual_content_tags AS "contentTags"
FROM "Video" v
LEFT JOIN "VideoTranscript" vt ON vt."videoId" = v.aweme_id
WHERE ${contentTag}::text IS NULL
OR v.manual_content_tags @> ARRAY[${contentTag}]::text[]
UNION ALL
SELECT
ip.aweme_id,
'image'::text,
ip."desc",
'',
ip.created_at,
ARRAY[]::text[]
FROM "ImagePost" ip
WHERE ${contentTag}::text IS NULL
),
lowered AS (
SELECT docs.*, lower(docs."rawDesc") AS d, lower(docs."rawTranscript") AS t
FROM docs
),
matched AS (
SELECT
l.*,
COALESCE((
SELECT SUM(
4 * LEAST(regexp_count(l.d, term), 3)
+ LEAST(regexp_count(l.t, term), 10)
)
FROM unnest(p.terms) term
), 0)::float8 AS score,
EXISTS (SELECT 1 FROM unnest(p.terms) term WHERE l.d ~ term) AS "inDesc",
EXISTS (SELECT 1 FROM unnest(p.terms) term WHERE l.t ~ term) AS "inTranscript"
FROM lowered l, params p
WHERE NOT EXISTS (
SELECT 1 FROM unnest(p.terms) term
WHERE l.d !~ term AND l.t !~ term
)
-- 视频搜索结果
SELECT
COALESCE(vt.id, 'desc:' || v.aweme_id) AS id,
v.aweme_id AS "awemeId",
'video'::text AS type,
GREATEST(
COALESCE(ts_rank(vt.transcript_zh_tsv, tsq.query), 0),
COALESCE(ts_rank(to_tsvector('zhcfg', v.desc), tsq.query), 0)
) AS rank,
CASE
WHEN vt.transcript_zh_tsv @@ tsq.query THEN
ts_headline(
'zhcfg',
array_to_string(vt.transcript, ' '),
tsq.query,
'StartSel=<mark>,StopSel=</mark>,MaxFragments=2,MinWords=2,MaxWords=20'
)
ELSE
ts_headline(
'zhcfg',
v.desc,
tsq.query,
'StartSel=<mark>,StopSel=</mark>,MaxFragments=2,MinWords=2,MaxWords=20'
)
END AS snippet,
v.manual_content_tags AS "contentTags"
FROM "Video" v
LEFT JOIN "VideoTranscript" vt ON vt."videoId" = v.aweme_id,
tsq
WHERE
(vt.transcript_zh_tsv @@ tsq.query OR to_tsvector('zhcfg', v.desc) @@ tsq.query)
AND CASE
WHEN ${contentTag}::text IS NULL THEN TRUE
ELSE v.manual_content_tags @> ARRAY[${contentTag}]::text[]
END
UNION ALL
-- 图文搜索结果
SELECT
'img_desc:' || ip.aweme_id AS id,
ip.aweme_id AS "awemeId",
'image'::text AS type,
ts_rank(to_tsvector('zhcfg', ip.desc), tsq.query) AS rank,
ts_headline(
'zhcfg',
ip.desc,
tsq.query,
'StartSel=<mark>,StopSel=</mark>,MaxFragments=2,MinWords=2,MaxWords=20'
) AS snippet,
ARRAY[]::text[] AS "contentTags"
FROM "ImagePost" ip, tsq
WHERE to_tsvector('zhcfg', ip.desc) @@ tsq.query
AND ${contentTag}::text IS NULL
ORDER BY rank DESC
OFFSET ${offset}
LIMIT ${limit};
`
: await prisma.$queryRaw<SearchRow[]>`
SELECT
COALESCE(vt.id, 'tag:' || v.aweme_id) AS id,
v.aweme_id AS "awemeId",
'video'::text AS type,
1.0::double precision AS rank,
COALESCE(
NULLIF(array_to_string(vt.transcript[1:2], ' '), ''),
v.desc,
'标签匹配'
) AS snippet,
v.manual_content_tags AS "contentTags"
FROM "Video" v
LEFT JOIN "VideoTranscript" vt ON vt."videoId" = v.aweme_id
WHERE v.manual_content_tags @> ARRAY[${contentTag}]::text[]
ORDER BY v.created_at DESC
OFFSET ${offset}
LIMIT ${limit};
`;
// 查询总数(参数化,避免注入)
const totalRows = q
? await prisma.$queryRaw<{ count: number }[]>`
WITH tsq AS (
SELECT websearch_to_tsquery('zhcfg', ${q}) AS query
AND NOT EXISTS (
SELECT 1 FROM unnest(p.excludes) x
WHERE l.d ~ x OR l.t ~ x
)
SELECT (
(SELECT COUNT(*)::int FROM "Video" v
LEFT JOIN "VideoTranscript" vt ON vt."videoId" = v.aweme_id
WHERE (vt.transcript_zh_tsv @@ tsq.query OR to_tsvector('zhcfg', v.desc) @@ tsq.query)
AND CASE
WHEN ${contentTag}::text IS NULL THEN TRUE
ELSE v.manual_content_tags @> ARRAY[${contentTag}]::text[]
END)
+
(SELECT COUNT(*)::int FROM "ImagePost" ip
WHERE to_tsvector('zhcfg', ip.desc) @@ tsq.query
AND ${contentTag}::text IS NULL)
) AS count
FROM tsq;
`
: await prisma.$queryRaw<{ count: number }[]>`
SELECT COUNT(*)::int AS count
FROM "Video" v
LEFT JOIN "VideoTranscript" vt ON vt."videoId" = v.aweme_id
WHERE v.manual_content_tags @> ARRAY[${contentTag}]::text[];
`;
)
SELECT
"awemeId", type, score, "inDesc", "inTranscript",
"rawDesc", "rawTranscript", "contentTags",
(COUNT(*) OVER ())::int AS total
FROM matched
ORDER BY score DESC, created DESC, "awemeId"
OFFSET ${offset}
LIMIT ${limit};
`;
// 分离视频和图文ID
const videoIds = rows
.filter((r) => r.type === "video")
.map((r) => r.awemeId);
@@ -168,79 +124,92 @@ export async function GET(req: Request) {
.filter((r) => r.type === "image")
.map((r) => r.awemeId);
// 批量查询视频元信息
const videos =
const [videos, imagePosts] = await Promise.all([
videoIds.length > 0
? (
await prisma.video.findMany({
where: { aweme_id: { in: videoIds } },
select: {
aweme_id: true,
desc: true,
cover_url: true,
video_url: true,
duration_ms: true,
author: true,
},
})
).map((v) => ({
...v,
cover_url: getFileUrl(v.cover_url || ""),
author: {
...v.author,
avatar_url: getFileUrl(v.author.avatar_url || ""),
? prisma.video.findMany({
where: { aweme_id: { in: videoIds } },
select: {
aweme_id: true,
desc: true,
cover_url: true,
video_url: true,
duration_ms: true,
author: true,
},
video_url: getFileUrl(v.video_url || ""),
}))
: [];
// 批量查询图文元信息
const imagePosts =
})
: [],
imagePostIds.length > 0
? (
await prisma.imagePost.findMany({
where: { aweme_id: { in: imagePostIds } },
select: {
aweme_id: true,
desc: true,
author: true,
images: {
orderBy: { order: "asc" },
take: 1,
select: {
url: true,
width: true,
height: true,
},
},
? prisma.imagePost.findMany({
where: { aweme_id: { in: imagePostIds } },
select: {
aweme_id: true,
desc: true,
author: true,
images: {
orderBy: { order: "asc" },
take: 1,
select: { url: true, width: true, height: true },
},
})
).map((ip) => ({
...ip,
author: {
...ip.author,
avatar_url: getFileUrl(ip.author.avatar_url || ""),
},
cover_url: ip.images[0] ? getFileUrl(ip.images[0].url) : null,
}))
: [];
})
: [],
]);
const videoMap = new Map(
videos.map((v) => [
v.aweme_id,
{
...v,
cover_url: getFileUrl(v.cover_url || ""),
video_url: getFileUrl(v.video_url || ""),
author: {
...v.author,
avatar_url: getFileUrl(v.author.avatar_url || ""),
},
},
]),
);
const imagePostMap = new Map(
imagePosts.map((ip) => [
ip.aweme_id,
{
...ip,
author: {
...ip.author,
avatar_url: getFileUrl(ip.author.avatar_url || ""),
},
cover_url: ip.images[0] ? getFileUrl(ip.images[0].url) : null,
},
]),
);
return json({
results: rows.map((r) => ({
...r,
snippet: sanitizeSnippetHtml(r.snippet),
video:
r.type === "video"
? videos.find((v) => v.aweme_id === r.awemeId)
: undefined,
imagePost:
r.type === "image"
? imagePosts.find((ip) => ip.aweme_id === r.awemeId)
: undefined,
})),
total: totalRows?.[0]?.count ?? 0,
results: rows.map((r) => {
const matchedIn: ("desc" | "transcript")[] = [];
if (r.inDesc) matchedIn.push("desc");
if (r.inTranscript) matchedIn.push("transcript");
return {
id: `${r.type}:${r.awemeId}`,
awemeId: r.awemeId,
type: r.type,
score: r.score,
matchedIn,
contentTags: r.contentTags,
descParts: highlightAll(r.rawDesc, terms),
// 转写命中时给出命中片段;只按标签筛选时给出转写开头作为预览
snippet:
r.inTranscript || (terms.length === 0 && r.rawTranscript)
? buildSnippet(r.rawTranscript, terms)
: null,
video: r.type === "video" ? videoMap.get(r.awemeId) : undefined,
imagePost:
r.type === "image" ? imagePostMap.get(r.awemeId) : undefined,
};
}),
total: rows[0]?.total ?? 0,
page,
limit,
terms,
});
} catch (err) {
console.error("Search error:", err);