Files
MyGoNavi/frontend/src/components/FindInDatabaseModal.tsx
Syngnat af90936fcc 🐛 fix(frontend): 修复 Redis 搜索匹配与输入交互体验
- Redis Key 搜索默认补全包含匹配并支持 ASCII 大小写不敏感
- Redis 标签页增加连接名与 host 摘要,区分同名 db 标签
- 抽取 inputAutoCap、redisSearchPattern、tabDisplay 共享工具并补充回归测试
- 覆盖连接配置、Redis 搜索、表设计、表概览和数据表筛选输入的自动纠正问题
- 在 macOS 文本输入面板关闭局部毛玻璃,修复输入法切换出现透明框
2026-04-16 18:07:38 +08:00

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import React, { useState, useRef, useCallback, useMemo } from 'react';
import { Modal, Input, Button, Table, Progress, Space, Tag, message, Tooltip, Select, Empty } from 'antd';
import { SearchOutlined, StopOutlined, EyeOutlined, DatabaseOutlined } from '@ant-design/icons';
import { DBQuery, DBGetTables, DBGetAllColumns } from '../../wailsjs/go/app/App';
import { quoteIdentPart, escapeLiteral } from '../utils/sql';
import { useStore } from '../store';
import { buildOverlayWorkbenchTheme } from '../utils/overlayWorkbenchTheme';
import { buildRpcConnectionConfig } from '../utils/connectionRpcConfig';
import { isMacLikePlatform } from '../utils/appearance';
interface FindInDatabaseModalProps {
open: boolean;
onClose: () => void;
connectionId: string;
dbName: string;
}
interface SearchResultItem {
tableName: string;
matchedColumns: string[];
matchCount: number;
rows: Record<string, any>[];
columns: string[];
}
/** 判断数据库列类型是否为文本类型(只搜索文本字段) */
const isTextColumnType = (colType: string): boolean => {
const t = (colType || '').toLowerCase().trim();
// 显式排除非文本类型
if (/^(int|bigint|smallint|tinyint|mediumint|float|double|decimal|numeric|real|money|smallmoney|bit|boolean|bool)/.test(t)) return false;
if (/^(date|time|datetime|timestamp|year|interval)/.test(t)) return false;
if (/^(blob|binary|varbinary|image|bytea|raw|long raw)/.test(t)) return false;
if (/^(geometry|geography|point|line|polygon|spatial)/.test(t)) return false;
if (/^(json|jsonb|xml|uuid|uniqueidentifier)/.test(t)) return false;
if (/^(serial|bigserial|smallserial|autoincrement|identity)/.test(t)) return false;
// 文本类型正匹配
if (/^(varchar|char|nvarchar|nchar|text|ntext|tinytext|mediumtext|longtext|string|clob|nclob|character)/.test(t)) return true;
if (t === 'sysname' || t === 'sql_variant') return true;
// 未知类型默认尝试搜索
return true;
};
/** 根据 dbType 构建限制返回行数的 SELECT SQL */
const buildLimitedSelectSQL = (dbType: string, baseSql: string, limit: number): string => {
const normalizedType = (dbType || '').toLowerCase();
switch (normalizedType) {
case 'sqlserver':
case 'mssql':
return baseSql.replace(/^SELECT\b/i, `SELECT TOP ${limit}`);
case 'oracle':
case 'dameng':
return `${baseSql} FETCH FIRST ${limit} ROWS ONLY`;
default:
return `${baseSql} LIMIT ${limit}`;
}
};
const MAX_MATCH_ROWS_PER_TABLE = 100;
const FindInDatabaseModal: React.FC<FindInDatabaseModalProps> = ({ open, onClose, connectionId, dbName }) => {
const [keyword, setKeyword] = useState('');
const [matchMode, setMatchMode] = useState<'contains' | 'exact'>('contains');
const [searching, setSearching] = useState(false);
const [results, setResults] = useState<SearchResultItem[]>([]);
const [progress, setProgress] = useState({ current: 0, total: 0, tableName: '' });
const [expandedTable, setExpandedTable] = useState<string | null>(null);
const cancelledRef = useRef(false);
const connections = useStore(state => state.connections);
const theme = useStore(state => state.theme);
const disableLocalBackdropFilter = isMacLikePlatform();
const conn = useMemo(() => connections.find(c => c.id === connectionId), [connections, connectionId]);
const dbType = useMemo(() => (conn?.config?.type || 'mysql').toLowerCase(), [conn]);
const wt = useMemo(() => {
const isDark = theme === 'dark';
return buildOverlayWorkbenchTheme(isDark, { disableBackdropFilter: disableLocalBackdropFilter });
}, [disableLocalBackdropFilter, theme]);
const buildConfig = useCallback(() => {
if (!conn) return null;
return {
...conn.config,
port: Number(conn.config.port),
password: conn.config.password || "",
database: conn.config.database || "",
useSSH: conn.config.useSSH || false,
ssh: conn.config.ssh || { host: "", port: 22, user: "", password: "", keyPath: "" }
};
}, [conn]);
const handleSearch = useCallback(async () => {
const searchKeyword = keyword.trim();
if (!searchKeyword) {
message.warning('请输入搜索关键字');
return;
}
const config = buildConfig();
if (!config) {
message.error('未找到连接配置');
return;
}
setSearching(true);
setResults([]);
setExpandedTable(null);
cancelledRef.current = false;
try {
// 1. 获取所有表
const tablesRes = await DBGetTables(buildRpcConnectionConfig(config) as any, dbName);
if (!tablesRes.success) {
message.error('获取表列表失败: ' + tablesRes.message);
setSearching(false);
return;
}
const tableRows: any[] = Array.isArray(tablesRes.data) ? tablesRes.data : [];
const tableNames = tableRows.map((row: any) => Object.values(row)[0] as string).filter(Boolean);
if (tableNames.length === 0) {
message.info('当前数据库没有表');
setSearching(false);
return;
}
setProgress({ current: 0, total: tableNames.length, tableName: '' });
// 2. 获取所有列信息(返回 any[],含 tableName/name/type 字段)
const allColsRes = await DBGetAllColumns(buildRpcConnectionConfig(config) as any, dbName);
const allColumns: any[] = (allColsRes?.success && Array.isArray(allColsRes.data)) ? allColsRes.data : [];
// 按表名分组
const columnsByTable: Record<string, Array<{ name: string; type: string }>> = {};
allColumns.forEach((col: any) => {
const tbl = col.tableName || '';
if (!columnsByTable[tbl]) columnsByTable[tbl] = [];
columnsByTable[tbl].push({ name: col.name, type: col.type || '' });
});
const searchResults: SearchResultItem[] = [];
const escapedKeyword = escapeLiteral(searchKeyword);
// 3. 逐表搜索
for (let i = 0; i < tableNames.length; i++) {
if (cancelledRef.current) break;
const tableName = tableNames[i];
setProgress({ current: i + 1, total: tableNames.length, tableName });
// 获取该表的文本列
const tableCols = columnsByTable[tableName] || [];
const textCols = tableCols.filter(c => isTextColumnType(c.type));
if (textCols.length === 0) continue;
// 构建 WHERE 子句
const castType = (dbType === 'sqlserver' || dbType === 'mssql') ? 'NVARCHAR(MAX)' : 'CHAR';
const whereConditions = textCols.map(c => {
const quotedCol = quoteIdentPart(dbType, c.name);
if (matchMode === 'exact') {
return `CAST(${quotedCol} AS ${castType}) = '${escapedKeyword}'`;
}
return `CAST(${quotedCol} AS ${castType}) LIKE '%${escapedKeyword}%'`;
});
const quotedTable = quoteIdentPart(dbType, tableName);
const baseSql = `SELECT * FROM ${quotedTable} WHERE ${whereConditions.join(' OR ')}`;
const sql = buildLimitedSelectSQL(dbType, baseSql, MAX_MATCH_ROWS_PER_TABLE);
try {
const res = await DBQuery(buildRpcConnectionConfig(config) as any, dbName, sql);
if (res.success && Array.isArray(res.data) && res.data.length > 0) {
// 检查哪些列实际匹配了
const matchedCols = new Set<string>();
const lowerKeyword = searchKeyword.toLowerCase();
res.data.forEach((row: any) => {
textCols.forEach(c => {
const val = row[c.name];
if (val != null) {
const strVal = String(val).toLowerCase();
if (matchMode === 'exact' ? strVal === lowerKeyword : strVal.includes(lowerKeyword)) {
matchedCols.add(c.name);
}
}
});
});
if (matchedCols.size > 0) {
const columns = Object.keys(res.data[0]);
searchResults.push({
tableName,
matchedColumns: Array.from(matchedCols),
matchCount: res.data.length,
rows: res.data,
columns,
});
setResults([...searchResults]);
}
}
} catch {
// 单表查询失败不中断整体搜索
}
}
if (!cancelledRef.current) {
setResults([...searchResults]);
if (searchResults.length === 0) {
message.info('未找到匹配的数据');
}
}
} catch (e: any) {
message.error('搜索出错: ' + (e?.message || String(e)));
} finally {
setSearching(false);
}
}, [keyword, matchMode, dbName, dbType, buildConfig]);
const handleCancel = useCallback(() => {
cancelledRef.current = true;
}, []);
const handleClose = useCallback(() => {
cancelledRef.current = true;
setResults([]);
setExpandedTable(null);
setProgress({ current: 0, total: 0, tableName: '' });
onClose();
}, [onClose]);
// 汇总表的列定义
const summaryColumns = useMemo(() => [
{
title: '表名',
dataIndex: 'tableName',
key: 'tableName',
width: 220,
render: (text: string) => (
<span style={{ fontWeight: 500, color: wt.titleText }}>
<DatabaseOutlined style={{ marginRight: 6, color: wt.iconColor }} />
{text}
</span>
),
},
{
title: '匹配列',
dataIndex: 'matchedColumns',
key: 'matchedColumns',
render: (cols: string[]) => (
<Space size={4} wrap>
{cols.map(col => (
<Tag key={col} color="blue" style={{ margin: 0, fontSize: 12 }}>{col}</Tag>
))}
</Space>
),
},
{
title: '命中行数',
dataIndex: 'matchCount',
key: 'matchCount',
width: 100,
align: 'center' as const,
render: (count: number) => (
<Tag color={count >= MAX_MATCH_ROWS_PER_TABLE ? 'orange' : 'green'}>
{count >= MAX_MATCH_ROWS_PER_TABLE ? `${count}` : count}
</Tag>
),
},
{
title: '操作',
key: 'action',
width: 80,
align: 'center' as const,
render: (_: any, record: SearchResultItem) => (
<Tooltip title={expandedTable === record.tableName ? '收起详情' : '查看详情'}>
<Button
type="text"
size="small"
icon={<EyeOutlined />}
onClick={(e) => { e.stopPropagation(); setExpandedTable(prev => prev === record.tableName ? null : record.tableName); }}
style={{ color: wt.iconColor }}
/>
</Tooltip>
),
},
], [wt, expandedTable]);
// 展开的详情行 - 动态列
const expandedResult = useMemo(() => {
if (!expandedTable) return null;
return results.find(r => r.tableName === expandedTable);
}, [expandedTable, results]);
const detailColumns = useMemo(() => {
if (!expandedResult) return [];
const lowerKeyword = keyword.trim().toLowerCase();
return expandedResult.columns.map(col => ({
title: col,
dataIndex: col,
key: col,
width: 180,
ellipsis: true,
render: (value: any) => {
const strVal = value != null ? String(value) : '';
const isMatch = expandedResult.matchedColumns.includes(col) &&
strVal.toLowerCase().includes(lowerKeyword);
return (
<Tooltip title={strVal} placement="topLeft">
<span style={isMatch ? { background: 'rgba(255, 193, 7, 0.3)', padding: '1px 3px', borderRadius: 3 } : undefined}>
{strVal || <span style={{ color: wt.mutedText }}>NULL</span>}
</span>
</Tooltip>
);
},
}));
}, [expandedResult, keyword, wt]);
const percent = progress.total > 0 ? Math.round((progress.current / progress.total) * 100) : 0;
return (
<Modal
title={
<span style={{ color: wt.titleText, fontWeight: 600 }}>
<SearchOutlined style={{ marginRight: 8, color: wt.iconColor }} />
{dbName}
</span>
}
open={open}
onCancel={handleClose}
footer={null}
width={960}
styles={{
content: {
background: wt.shellBg,
borderRadius: 16,
border: wt.shellBorder,
boxShadow: wt.shellShadow,
backdropFilter: wt.shellBackdropFilter,
WebkitBackdropFilter: wt.shellBackdropFilter,
},
header: { background: 'transparent', borderBottom: 'none', paddingBottom: 8 },
body: { paddingTop: 8 },
}}
destroyOnClose
>
<div style={{ display: 'flex', flexDirection: 'column', gap: 16 }}>
{/* 搜索栏 */}
<div style={{ display: 'flex', gap: 8, alignItems: 'center' }}>
<Input
placeholder="输入要搜索的字符串..."
value={keyword}
onChange={e => setKeyword(e.target.value)}
onPressEnter={!searching ? handleSearch : undefined}
style={{ flex: 1 }}
disabled={searching}
autoFocus
/>
<Select
value={matchMode}
onChange={v => setMatchMode(v)}
disabled={searching}
style={{ width: 110 }}
options={[
{ label: '包含', value: 'contains' },
{ label: '精确匹配', value: 'exact' },
]}
/>
{searching ? (
<Button icon={<StopOutlined />} danger onClick={handleCancel}>
</Button>
) : (
<Button type="primary" icon={<SearchOutlined />} onClick={handleSearch} disabled={!keyword.trim()}>
</Button>
)}
</div>
{/* 进度条 */}
{searching && (
<div style={{ display: 'flex', flexDirection: 'column', gap: 4 }}>
<Progress
percent={percent}
size="small"
status="active"
strokeColor={wt.iconColor}
/>
<span style={{ fontSize: 12, color: wt.mutedText }}>
{progress.tableName}... ({progress.current}/{progress.total})
</span>
</div>
)}
{/* 结果汇总表 */}
{results.length > 0 && (
<div style={{ display: 'flex', flexDirection: 'column', gap: 8 }}>
<div style={{ fontSize: 13, color: wt.mutedText, fontWeight: 500 }}>
{results.length}
{searching && '(搜索进行中...'}
</div>
<Table
dataSource={results}
columns={summaryColumns}
rowKey="tableName"
size="small"
pagination={false}
style={{ borderRadius: 8, overflow: 'hidden' }}
scroll={{ y: expandedTable ? 200 : 400 }}
onRow={(record) => ({
style: {
cursor: 'pointer',
background: expandedTable === record.tableName ? wt.hoverBg : undefined,
},
onClick: () => setExpandedTable(prev => prev === record.tableName ? null : record.tableName),
})}
/>
</div>
)}
{/* 详情展开 */}
{expandedResult && (
<div style={{
border: wt.sectionBorder,
borderRadius: 8,
background: wt.sectionBg,
overflow: 'hidden',
}}>
<div style={{
padding: '8px 12px',
borderBottom: wt.sectionBorder,
fontSize: 13,
fontWeight: 500,
color: wt.titleText,
display: 'flex',
alignItems: 'center',
justifyContent: 'space-between',
}}>
<span>
<DatabaseOutlined style={{ marginRight: 6 }} />
{expandedResult.tableName}
</span>
<Tag color="blue">{expandedResult.rows.length} </Tag>
</div>
<Table
dataSource={expandedResult.rows.map((row, i) => ({ ...row, __rowIdx: i }))}
columns={detailColumns}
rowKey="__rowIdx"
size="small"
pagination={{ pageSize: 20, size: 'small', showSizeChanger: false }}
scroll={{ x: Math.max(800, expandedResult.columns.length * 180) }}
style={{ fontSize: 12 }}
/>
</div>
)}
{/* 无结果且搜索完成 */}
{!searching && results.length === 0 && progress.total > 0 && (
<Empty description="未找到匹配的数据" style={{ margin: '24px 0' }} />
)}
</div>
</Modal>
);
};
export default FindInDatabaseModal;