fix(basic.gblib): Refresh data source.
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@ -2924,4 +2924,122 @@ export class SystemKeywords {
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}
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}
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public async refreshDataSourceCache({ pid, connectionName }) {
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const { min, user, params, step } = await DialogKeywords.getProcessInfo(pid);
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let sqliteFilePath = path.join('work', GBUtil.getGBAIPath(min.botId), `${connectionName}.sqlite`);
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// Step 1: Clean the SQLite file if it already exists
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if (await GBUtil.exists(sqliteFilePath)) {
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await fs.unlink(sqliteFilePath); // Remove the file
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GBLogEx.info(min, `${sqliteFilePath} has been cleaned.`);
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}
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// Step 2: Connect to SQLite (Local)
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const sqlite = new Sequelize({
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dialect: 'sqlite',
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storage: sqliteFilePath
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});
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// Get the connection details from the min object
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let con = min[connectionName];
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const dialect = con.dialect.name;
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// Step 3: Get the list of all tables from the source database
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const tables = await GBUtil.listTables(dialect, con);
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// Function to map source database datatypes to SQLite-compatible datatypes
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const mapToSQLiteType = (columnType) => {
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const typeMapping = {
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'VARCHAR': DataTypes.STRING,
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'CHAR': DataTypes.STRING,
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'TEXT': DataTypes.TEXT,
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'TINYINT': DataTypes.INTEGER,
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'SMALLINT': DataTypes.INTEGER,
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'MEDIUMINT': DataTypes.INTEGER,
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'INT': DataTypes.INTEGER,
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'INTEGER': DataTypes.INTEGER,
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'BIGINT': DataTypes.BIGINT,
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'FLOAT': DataTypes.FLOAT,
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'DOUBLE': DataTypes.DOUBLE,
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'DECIMAL': DataTypes.DECIMAL,
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'DATE': DataTypes.DATE,
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'DATETIME': DataTypes.DATE,
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'TIMESTAMP': DataTypes.DATE,
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'BLOB': DataTypes.BLOB,
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'BOOLEAN': DataTypes.BOOLEAN,
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// Add more mappings as needed
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};
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return typeMapping[columnType.toUpperCase()] || DataTypes.STRING;
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};
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// Step 4: Retrieve and export data for each table
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for (const table of tables) {
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// Retrieve rows from the source table
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const [rows] = await con.query(`SELECT * FROM ${table}`);
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if (rows.length === 0) continue; // Skip if the table has no data
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// Get the schema for the current table from the source database
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const columns = await con.queryInterface.describeTable(table);
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// Create a schema object for SQLite
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const schema = {};
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let pkAdded = false;
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Object.keys(columns).forEach(col => {
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const columnType = columns[col].type;
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// Map source type to SQLite type
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schema[col] = {
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type: mapToSQLiteType(columnType)
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};
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// If the column is named 'id' or 'Id', set it as the primary key
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if (! pkAdded && (col.toLowerCase() === 'id' || col.toLowerCase() === 'internal_id')) {
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schema[col].primaryKey = true;
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pkAdded = true;
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}
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});
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// Define the model dynamically for each table in SQLite
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const Model = sqlite.define(table, schema, { timestamps: false });
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// Sync the model (create table)
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await Model.sync({ force: true });
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// Transform data to match schema types before bulk insert
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const transformedRows = rows.map(row => {
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const transformedRow = {};
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for (const key in row) {
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const columnType = schema[key].type;
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// Handle different data types
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if (columnType === DataTypes.STRING) {
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transformedRow[key] = row[key] !== null ? String(row[key]) : null; // Convert to string
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} else if (columnType === DataTypes.INTEGER || columnType === DataTypes.BIGINT) {
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transformedRow[key] = row[key] !== null ? Number(row[key]) : null; // Convert to number
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} else if (columnType === DataTypes.FLOAT || columnType === DataTypes.DOUBLE) {
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transformedRow[key] = row[key] !== null ? parseFloat(row[key]) : null; // Convert to float
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} else if (columnType === DataTypes.BOOLEAN) {
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transformedRow[key] = row[key] !== null ? Boolean(row[key]) : null; // Convert to boolean
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} else if (columnType === DataTypes.DATE) {
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transformedRow[key] = row[key] !== null ? new Date(row[key]) : null; // Convert to date
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} else {
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transformedRow[key] = row[key]; // Keep original value for unsupported types
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}
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}
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return transformedRow;
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});
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// Bulk insert rows into the SQLite table
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await Model.bulkCreate(transformedRows);
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}
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GBLogEx.info(min, `All tables have been successfully exported to ${sqliteFilePath}`);
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// Close SQLite connection
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await sqlite.close();
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}
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}
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}
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