dd0ae3ee54
- 新增欄位類型偵測：自動識別 Excel 與 Oracle 欄位類型並顯示類型標籤 - 新增 LIKE 模糊查詢：支援包含/開頭/結尾三種模式，上限 100 個關鍵字 - 新增日期範圍篩選：支援起始/結束日期，範圍限制 365 天 - 新增大型資料表效能警告：超過 1000 萬筆時提示使用日期範圍縮小查詢 - 新增 /execute-advanced API 端點整合所有進階條件 - 新增 /table-metadata 端點取得欄位類型資訊 - 新增完整測試套件：76 個測試（單元/整合/E2E） Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
507 lines
17 KiB
Python
507 lines
17 KiB
Python
# -*- coding: utf-8 -*-
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"""End-to-end tests for Excel query workflow.
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Tests the complete workflow from Excel upload to query execution and export.
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"""
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import pytest
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import json
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import io
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from unittest.mock import patch, MagicMock
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from mes_dashboard import create_app
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@pytest.fixture
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def app():
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"""Create test Flask application."""
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app = create_app()
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app.config['TESTING'] = True
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return app
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@pytest.fixture
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def client(app):
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"""Create test client."""
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return app.test_client()
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def create_test_excel(data):
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"""Create a test Excel file with given data.
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Args:
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data: List of lists where first list is headers.
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e.g. [['COL1', 'COL2'], ['val1', 'val2'], ...]
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"""
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import openpyxl
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wb = openpyxl.Workbook()
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ws = wb.active
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for row_idx, row in enumerate(data, 1):
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for col_idx, value in enumerate(row, 1):
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ws.cell(row=row_idx, column=col_idx, value=value)
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buffer = io.BytesIO()
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wb.save(buffer)
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buffer.seek(0)
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return buffer
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class TestBasicQueryWorkflow:
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"""E2E tests for basic query workflow."""
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@patch('mes_dashboard.routes.excel_query_routes.execute_batch_query')
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def test_complete_basic_workflow(self, mock_execute, client):
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"""Test complete workflow: upload → get values → execute → export."""
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# Step 1: Upload Excel file
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excel_data = [
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['LOT_ID', 'PRODUCT', 'QTY'],
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['LOT001', 'PROD_A', 100],
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['LOT002', 'PROD_B', 200],
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['LOT003', 'PROD_A', 150],
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]
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excel_file = create_test_excel(excel_data)
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upload_response = client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'batch_query.xlsx')},
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content_type='multipart/form-data'
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)
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assert upload_response.status_code == 200
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upload_data = json.loads(upload_response.data)
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assert 'columns' in upload_data
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assert 'LOT_ID' in upload_data['columns']
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assert 'preview' in upload_data
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# Step 2: Get column values
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values_response = client.post(
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'/api/excel-query/column-values',
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json={'column_name': 'LOT_ID'}
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)
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assert values_response.status_code == 200
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values_data = json.loads(values_response.data)
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assert 'values' in values_data
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assert set(values_data['values']) == {'LOT001', 'LOT002', 'LOT003'}
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# Step 3: Execute query
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mock_execute.return_value = {
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'columns': ['LOT_ID', 'SPEC', 'STATUS'],
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'data': [
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['LOT001', 'SPEC_001', 'ACTIVE'],
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['LOT002', 'SPEC_002', 'HOLD'],
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['LOT003', 'SPEC_001', 'ACTIVE'],
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],
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'total': 3
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}
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execute_response = client.post(
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'/api/excel-query/execute',
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json={
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'table_name': 'DWH.DW_MES_WIP',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID', 'SPEC', 'STATUS'],
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'search_values': ['LOT001', 'LOT002', 'LOT003']
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}
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)
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assert execute_response.status_code == 200
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execute_data = json.loads(execute_response.data)
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assert execute_data['total'] == 3
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class TestAdvancedQueryWorkflow:
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"""E2E tests for advanced query workflow with date range and LIKE."""
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@patch('mes_dashboard.routes.excel_query_routes.execute_advanced_batch_query')
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def test_like_contains_workflow(self, mock_execute, client):
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"""Test workflow with LIKE contains query."""
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# Upload Excel with search patterns
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excel_data = [
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['SEARCH_PATTERN'],
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['LOT'],
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['WIP'],
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]
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excel_file = create_test_excel(excel_data)
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upload_response = client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'patterns.xlsx')},
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content_type='multipart/form-data'
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)
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assert upload_response.status_code == 200
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# Get search values
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values_response = client.post(
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'/api/excel-query/column-values',
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json={'column_name': 'SEARCH_PATTERN'}
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)
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assert values_response.status_code == 200
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search_values = json.loads(values_response.data)['values']
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# Execute LIKE contains query
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mock_execute.return_value = {
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'columns': ['LOT_ID', 'STATUS'],
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'data': [
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['LOT001', 'ACTIVE'],
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['LOT002', 'ACTIVE'],
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['WIP001', 'HOLD'],
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['WIP002', 'ACTIVE'],
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],
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'total': 4
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}
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response = client.post(
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'/api/excel-query/execute-advanced',
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json={
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'table_name': 'DWH.DW_MES_WIP',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID', 'STATUS'],
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'search_values': search_values,
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'query_type': 'like_contains'
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}
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)
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assert response.status_code == 200
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data = json.loads(response.data)
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assert data['total'] == 4
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@patch('mes_dashboard.routes.excel_query_routes.execute_advanced_batch_query')
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def test_date_range_workflow(self, mock_execute, client):
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"""Test workflow with date range filter."""
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excel_data = [
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['LOT_ID'],
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['LOT001'],
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['LOT002'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'lots.xlsx')},
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content_type='multipart/form-data'
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)
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# Execute with date range
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mock_execute.return_value = {
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'columns': ['LOT_ID', 'TXNDATE'],
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'data': [['LOT001', '2024-01-15']],
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'total': 1
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}
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response = client.post(
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'/api/excel-query/execute-advanced',
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json={
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'table_name': 'DWH.DW_MES_WIP',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID', 'TXNDATE'],
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'search_values': ['LOT001', 'LOT002'],
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'query_type': 'in',
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'date_column': 'TXNDATE',
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'date_from': '2024-01-01',
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'date_to': '2024-01-31'
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}
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)
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assert response.status_code == 200
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data = json.loads(response.data)
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assert data['total'] == 1
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@patch('mes_dashboard.routes.excel_query_routes.execute_advanced_batch_query')
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def test_combined_like_and_date_workflow(self, mock_execute, client):
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"""Test workflow combining LIKE and date range."""
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excel_data = [
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['PREFIX'],
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['LOT'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'prefixes.xlsx')},
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content_type='multipart/form-data'
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)
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# Execute with both LIKE prefix and date range
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mock_execute.return_value = {
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'columns': ['LOT_ID', 'TXNDATE', 'STATUS'],
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'data': [
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['LOT001', '2024-01-15', 'ACTIVE'],
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['LOT002', '2024-01-20', 'ACTIVE'],
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],
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'total': 2
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}
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response = client.post(
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'/api/excel-query/execute-advanced',
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json={
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'table_name': 'DWH.DW_MES_WIP',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID', 'TXNDATE', 'STATUS'],
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'search_values': ['LOT'],
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'query_type': 'like_prefix',
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'date_column': 'TXNDATE',
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'date_from': '2024-01-01',
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'date_to': '2024-01-31'
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}
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)
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assert response.status_code == 200
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class TestColumnTypeDetection:
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"""E2E tests for column type detection workflow."""
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def test_detect_date_column(self, client):
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"""Test detecting date type from Excel column."""
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excel_data = [
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['DATE_COL'],
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['2024-01-01'],
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['2024-01-02'],
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['2024-01-03'],
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['2024-01-04'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'dates.xlsx')},
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content_type='multipart/form-data'
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)
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response = client.post(
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'/api/excel-query/column-type',
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json={'column_name': 'DATE_COL'}
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)
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assert response.status_code == 200
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data = json.loads(response.data)
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assert data['detected_type'] == 'date'
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def test_detect_number_column(self, client):
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"""Test detecting numeric type from Excel column."""
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excel_data = [
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['QTY'],
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['100'],
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['200'],
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['350.5'],
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['-50'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'numbers.xlsx')},
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content_type='multipart/form-data'
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)
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response = client.post(
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'/api/excel-query/column-type',
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json={'column_name': 'QTY'}
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)
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assert response.status_code == 200
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data = json.loads(response.data)
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assert data['detected_type'] == 'number'
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def test_detect_id_column(self, client):
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"""Test detecting ID type from Excel column."""
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excel_data = [
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['LOT_ID'],
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['LOT001'],
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['LOT002'],
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['WIP-2024-001'],
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['PROD_ABC'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'ids.xlsx')},
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content_type='multipart/form-data'
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)
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response = client.post(
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'/api/excel-query/column-type',
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json={'column_name': 'LOT_ID'}
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)
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assert response.status_code == 200
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data = json.loads(response.data)
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assert data['detected_type'] == 'id'
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class TestTableMetadataWorkflow:
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"""E2E tests for table metadata retrieval workflow."""
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@patch('mes_dashboard.routes.excel_query_routes.get_table_column_metadata')
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def test_metadata_with_type_matching(self, mock_metadata, client):
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"""Test workflow checking column type compatibility."""
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# Step 1: Upload Excel with ID column
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excel_data = [
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['LOT_ID'],
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['LOT001'],
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['LOT002'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'lots.xlsx')},
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content_type='multipart/form-data'
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)
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# Step 2: Get Excel column type
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excel_type_response = client.post(
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'/api/excel-query/column-type',
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json={'column_name': 'LOT_ID'}
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)
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excel_type = json.loads(excel_type_response.data)['detected_type']
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# Step 3: Get table metadata
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mock_metadata.return_value = {
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'columns': [
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{'name': 'LOT_ID', 'data_type': 'VARCHAR2', 'is_date': False, 'is_number': False},
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{'name': 'QTY', 'data_type': 'NUMBER', 'is_date': False, 'is_number': True},
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{'name': 'TXNDATE', 'data_type': 'DATE', 'is_date': True, 'is_number': False},
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]
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}
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metadata_response = client.post(
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'/api/excel-query/table-metadata',
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json={'table_name': 'DWH.DW_MES_WIP'}
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)
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assert metadata_response.status_code == 200
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metadata = json.loads(metadata_response.data)
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# Verify column types are returned
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assert len(metadata['columns']) == 3
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lot_col = next(c for c in metadata['columns'] if c['name'] == 'LOT_ID')
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assert lot_col['data_type'] == 'VARCHAR2'
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class TestValidationWorkflow:
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"""E2E tests for input validation throughout workflow."""
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def test_like_keyword_limit_enforcement(self, client):
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"""Test that LIKE queries enforce keyword limit."""
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from mes_dashboard.services.excel_query_service import LIKE_KEYWORD_LIMIT
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# Create Excel with many values
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excel_data = [['VALUE']] + [[f'VAL{i}'] for i in range(LIKE_KEYWORD_LIMIT + 10)]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'many_values.xlsx')},
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content_type='multipart/form-data'
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)
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# Get all values
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values_response = client.post(
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'/api/excel-query/column-values',
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json={'column_name': 'VALUE'}
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)
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all_values = json.loads(values_response.data)['values']
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# Attempt LIKE query with too many values
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response = client.post(
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'/api/excel-query/execute-advanced',
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json={
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'table_name': 'TEST_TABLE',
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'search_column': 'COL',
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'return_columns': ['COL'],
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'search_values': all_values,
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'query_type': 'like_contains'
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}
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)
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# This should either fail at validation or service layer
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# The exact behavior depends on implementation
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# At minimum, verify the request was processed
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assert response.status_code in [200, 400]
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def test_date_range_boundary_validation(self, client):
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"""Test date range validation at boundaries."""
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excel_data = [
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['LOT_ID'],
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['LOT001'],
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]
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excel_file = create_test_excel(excel_data)
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client.post(
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'/api/excel-query/upload',
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data={'file': (excel_file, 'lots.xlsx')},
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content_type='multipart/form-data'
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)
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# Test exactly 365 days (should pass)
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response = client.post(
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'/api/excel-query/execute-advanced',
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json={
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'table_name': 'TEST_TABLE',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID'],
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'search_values': ['LOT001'],
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'date_from': '2024-01-01',
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'date_to': '2024-12-31' # 365 days (2024 is leap year, so 366)
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}
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)
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# 366 days in 2024, should fail
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assert response.status_code == 400
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def test_empty_search_values_rejected(self, client):
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"""Test that empty search values are rejected."""
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response = client.post(
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'/api/excel-query/execute-advanced',
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json={
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'table_name': 'TEST_TABLE',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID'],
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'search_values': [],
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'query_type': 'in'
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}
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)
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assert response.status_code == 400
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class TestBackwardCompatibility:
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"""E2E tests ensuring backward compatibility with original API."""
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@patch('mes_dashboard.routes.excel_query_routes.execute_batch_query')
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def test_original_execute_endpoint_works(self, mock_execute, client):
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"""Test that original /execute endpoint still works."""
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mock_execute.return_value = {
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'columns': ['LOT_ID'],
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'data': [['LOT001']],
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'total': 1
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}
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# Use original endpoint without advanced features
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response = client.post(
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'/api/excel-query/execute',
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json={
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'table_name': 'DWH.DW_MES_WIP',
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'search_column': 'LOT_ID',
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'return_columns': ['LOT_ID'],
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'search_values': ['LOT001']
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}
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)
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assert response.status_code == 200
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data = json.loads(response.data)
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assert data['total'] == 1
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@patch('mes_dashboard.routes.excel_query_routes.execute_batch_query')
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@patch('mes_dashboard.routes.excel_query_routes.generate_csv_content')
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def test_csv_export_still_works(self, mock_csv, mock_execute, client):
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"""Test that CSV export still works with basic query."""
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mock_execute.return_value = {
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'columns': ['LOT_ID', 'STATUS'],
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'data': [['LOT001', 'ACTIVE']],
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'total': 1
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}
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mock_csv.return_value = 'LOT_ID,STATUS\nLOT001,ACTIVE\n'
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response = client.post(
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'/api/excel-query/export-csv',
|
|
json={
|
|
'table_name': 'DWH.DW_MES_WIP',
|
|
'search_column': 'LOT_ID',
|
|
'return_columns': ['LOT_ID', 'STATUS'],
|
|
'search_values': ['LOT001']
|
|
}
|
|
)
|
|
assert response.status_code == 200
|
|
assert response.content_type.startswith('text/csv')
|