hana-cli
Version:
HANA Developer Command Line Interface
311 lines (255 loc) • 9.68 kB
JavaScript
// @ts-nocheck
import * as chai from 'chai'
import * as chaiAsPromised from 'chai-as-promised'
import sinon from 'sinon'
import * as fs from 'fs'
import * as path from 'path'
import yargsModule from 'yargs'
chai.use(chaiAsPromised.default)
const expect = chai.expect
const yargs = yargsModule
/**
* @test Import Command Tests
* Test suite for the import functionality
*/
describe('@all @import', () => {
let importCmd
let sandbox
let tempDir
beforeEach(async () => {
sandbox = sinon.createSandbox()
importCmd = await import('../bin/import.js')
tempDir = fs.mkdtempSync('hana-cli-test-')
})
afterEach(() => {
sandbox.restore()
// Clean up temp files
try {
if (fs.existsSync(tempDir)) {
fs.rmSync(tempDir, { recursive: true })
}
} catch (error) {
// Ignore cleanup errors
}
})
describe('parseCSVLine', () => {
it('should parse simple CSV line', () => {
const { parseCSVLine } = importCmd
// Since parseCSVLine might not be exported, we'll test through actual CSV parsing
// This test will be simplified for now
})
})
describe('parseCSVContent', () => {
it('should parse CSV content with headers', () => {
const testCSV = `Name,Age,Email
John,30,john@example.com
Jane,25,jane@example.com`
const { parseCSVContent } = importCmd
// Since functions are not exported, we test the file reading capability
})
})
describe('import command export', () => {
it('should have command property', () => {
expect(importCmd.command).to.equal('import')
})
it('should have aliases property', () => {
expect(importCmd.aliases).to.include('imp')
expect(importCmd.aliases).to.include('uploadData')
})
it('should have describe property', () => {
expect(importCmd.describe).to.exist
})
it('should have builder property', () => {
expect(importCmd.builder).to.be.a('function')
})
it('should have handler property', () => {
expect(importCmd.handler).to.be.a('function')
})
it('should have inputPrompts property', () => {
expect(importCmd.inputPrompts).to.be.an('object')
expect(importCmd.inputPrompts).to.have.property('filename')
expect(importCmd.inputPrompts).to.have.property('table')
expect(importCmd.inputPrompts).to.have.property('output')
expect(importCmd.inputPrompts).to.have.property('matchMode')
expect(importCmd.inputPrompts).to.have.property('batchSize')
expect(importCmd.inputPrompts).to.have.property('worksheet')
expect(importCmd.inputPrompts).to.have.property('startRow')
expect(importCmd.inputPrompts).to.have.property('skipEmptyRows')
expect(importCmd.inputPrompts).to.have.property('excelCacheMode')
})
})
describe('builder configuration', () => {
it('should configure filename option', () => {
const yargsInstance = yargs([])
const built = importCmd.builder(yargsInstance)
// Test will be adapted based on actual builder implementation
})
it('should configure output choices as csv or excel', () => {
// Builder should limit output to csv or excel only
})
it('should configure matchMode choices', () => {
// Builder should limit matchMode to order, name, or auto
})
it('should provide truncate boolean option', () => {
// Truncate should be a boolean flag
})
it('should default schema to CURRENT_SCHEMA when omitted', async () => {
const parser = importCmd.builder(yargs([])
.help(false)
.version(false)
.exitProcess(false))
const argv = await parser.parse(['--filename', 'data.csv', '--table', 'DUMMY'])
expect(argv.schema).to.equal('**CURRENT_SCHEMA**')
})
it('should parse explicit schema value', async () => {
const parser = importCmd.builder(yargs([])
.help(false)
.version(false)
.exitProcess(false))
const argv = await parser.parse(['--filename', 'data.csv', '--table', 'DUMMY', '--schema', 'MYSCHEMA'])
expect(argv.schema).to.equal('MYSCHEMA')
})
})
describe('import functionality (mock)', () => {
it('should handle CSV files', async () => {
// Create a test CSV file
const testCSVPath = path.join(tempDir, 'test.csv')
const csvContent = `ID,Name,Value
1,John,100
2,Jane,200`
fs.writeFileSync(testCSVPath, csvContent)
// Verify file exists
expect(fs.existsSync(testCSVPath)).to.be.true
})
it('should handle Excel files', async () => {
// Since Excel requires ExcelJS library, just verify import has expectations for it
})
it('should support column matching by order', () => {
// Test column matching logic would go here
})
it('should support column matching by name', () => {
// Test name-based matching
})
it('should support auto column matching', () => {
// Test auto mode (name first, then order)
})
})
describe('error handling', () => {
it('should handle missing files', async () => {
// Test file not found scenario
})
it('should handle invalid CSV format', async () => {
// Test malformed CSV
})
it('should handle Excel reading errors', async () => {
// Test corrupt Excel file
})
it('should handle database connection errors', async () => {
// Test DB connection issues
})
it('should handle table not found errors', async () => {
// Test non-existent table
})
it('should handle column mismatch errors', async () => {
// Test when no columns can be matched
})
})
describe('new enhancement features', () => {
describe('batch size configuration', () => {
it('should accept valid batch size (1-10000)', () => {
expect(importCmd.inputPrompts.batchSize).to.exist
expect(importCmd.inputPrompts.batchSize.type).to.equal('number')
})
it('should have default batch size in builder', () => {
// Default batch size should be 1000
const mockYargs = {
options: (opts) => mockYargs,
example: (cmd, desc) => mockYargs,
wrap: (columns) => mockYargs,
epilog: (text) => mockYargs,
option: () => mockYargs
}
const built = importCmd.builder(mockYargs)
// Verify default through builder
})
it('should validate batch size range', () => {
// Test that batch size between 1-10000 is accepted
// Should reject batch sizes < 1 or > 10000
})
})
describe('Excel worksheet selection', () => {
it('should support worksheet parameter', () => {
expect(importCmd.inputPrompts.worksheet).to.exist
expect(importCmd.inputPrompts.worksheet.type).to.equal('number')
})
it('should default to worksheet 1', () => {
// Verify default worksheet is 1 (first sheet)
})
it('should allow selecting different worksheets', () => {
// Test worksheet selection from 1 to N
})
})
describe('Excel start row configuration', () => {
it('should support startRow parameter', () => {
expect(importCmd.inputPrompts.startRow).to.exist
expect(importCmd.inputPrompts.startRow.type).to.equal('number')
})
it('should default to row 1', () => {
// Verify default start row is 1
})
it('should handle headers at different rows', () => {
// Test when headers are on row 2, 3, etc.
})
})
describe('Excel skip empty rows', () => {
it('should support skipEmptyRows parameter', () => {
expect(importCmd.inputPrompts.skipEmptyRows).to.exist
expect(importCmd.inputPrompts.skipEmptyRows.type).to.equal('boolean')
})
it('should default to true', () => {
// Verify default is to skip empty rows
})
it('should allow including empty rows when set to false', () => {
// Test with skipEmptyRows=false
})
})
describe('Excel cache mode', () => {
it('should support excelCacheMode parameter', () => {
expect(importCmd.inputPrompts.excelCacheMode).to.exist
expect(importCmd.inputPrompts.excelCacheMode.type).to.equal('string')
})
it('should default to cache mode', () => {
// Verify default cache mode is 'cache'
})
it('should support cache, emit, and ignore modes', () => {
// Test all three cache modes: cache, emit, ignore
})
it('should handle cache mode for memory efficiency', () => {
// Test that 'cache' mode uses more memory but is faster
})
it('should handle emit mode for streaming', () => {
// Test that 'emit' mode uses less memory
})
it('should handle ignore mode', () => {
// Test that 'ignore' mode skips shared strings
})
})
describe('integration of new features', () => {
it('should combine batch size with Excel options', () => {
// Test using custom batch size with Excel import
})
it('should combine worksheet selection with start row', () => {
// Test importing from specific worksheet starting at specific row
})
it('should combine all Excel options', () => {
// Test using worksheet, startRow, skipEmptyRows, and cacheMode together
})
it('should work with large batch sizes for performance', () => {
// Test batch size of 5000 or 10000 for high-volume imports
})
it('should work with small batch sizes for large rows', () => {
// Test batch size of 100 or 500 for large row data
})
})
})
})