476 lines
21 KiB
Python
476 lines
21 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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综合集成测试模块
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该测试模块集成测试以下功能：
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1. API 调用（模拟和实际）
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2. JSON Schema 加载（从文件系统）
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3. JSON Schema 验证（验证API响应）
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4. 错误处理和边界条件
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此测试依赖于运行中的模拟地震体API服务器（在端口5001上）。
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可以通过 `python -m tests.run_mock_seismic_api` 启动服务器。
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"""
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import os
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import sys
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import json
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import unittest
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import logging
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import requests
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from unittest import mock
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from pathlib import Path
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# 添加项目根目录到Python路径
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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# 导入测试所需的模块
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from ddms_compliance_suite.api_caller.caller import APICaller, APIRequest
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from ddms_compliance_suite.json_schema_validator.validator import JSONSchemaValidator
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from ddms_compliance_suite.rule_repository.repository import RuleRepository
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from ddms_compliance_suite.models.rule_models import RuleQuery, RuleCategory, TargetType
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from ddms_compliance_suite.models.config_models import RuleRepositoryConfig, RuleStorageConfig
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# 配置日志
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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class TestComprehensiveIntegration(unittest.TestCase):
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"""综合集成测试类"""
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@classmethod
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def setUpClass(cls):
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"""测试类初始化，检查模拟服务器是否运行"""
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cls.mock_server_url = "http://localhost:5001"
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try:
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response = requests.get(cls.mock_server_url) #这里是测试服务器能否正常访问
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cls.server_running = True
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logger.info(f"模拟API服务器可用，状态码: {response.status_code}")
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except Exception as e:
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cls.server_running = False
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logger.warning(f"模拟API服务器不可用，请先启动服务器: {e}")
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logger.warning("可以使用命令: python -m tests.run_mock_seismic_api")
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raise unittest.SkipTest("模拟API服务器未运行")
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def setUp(self):
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"""每个测试前的初始化"""
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# 初始化API调用器
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self.api_caller = APICaller(
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default_timeout=5,
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default_headers={"Content-Type": "application/json"}
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)
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# 初始化JSON Schema验证器
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self.schema_validator = JSONSchemaValidator()
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# 初始化规则仓库
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rule_config = RuleRepositoryConfig(
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storage=RuleStorageConfig(path="./rules"),
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preload_rules=True
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)
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self.rule_repository = RuleRepository(rule_config)
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# 记录测试数据
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self.test_project_id = "testPrj1"
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self.test_survey_id = "20230117135924_2"
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self.sample_seismic_id = "20221113181927_1" # 服务器预置的样例地震体ID
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def test_1_load_schemas_from_repository(self):
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"""测试从规则仓库加载Schema"""
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# 加载井数据Schema
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well_schema_rule = self.rule_repository.get_rule("well-data-schema")
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self.assertIsNotNone(well_schema_rule, "井数据Schema规则未找到")
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self.assertEqual(well_schema_rule.category, RuleCategory.JSON_SCHEMA)
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self.assertIsNotNone(well_schema_rule.schema_content, "井数据Schema内容为空")
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logger.info("成功加载井数据Schema")
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# 加载地震体数据Schema
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seismic_schema_rule = self.rule_repository.get_rule("seismic-data-schema")
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self.assertIsNotNone(seismic_schema_rule, "地震体数据Schema规则未找到")
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self.assertEqual(seismic_schema_rule.category, RuleCategory.JSON_SCHEMA)
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self.assertIsNotNone(seismic_schema_rule.schema_content, "地震体数据Schema内容为空")
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logger.info("成功加载地震体数据Schema")
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# 加载API响应Schema
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api_schema_rule = self.rule_repository.get_rule("seismic-api-response-schema")
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self.assertIsNotNone(api_schema_rule, "API响应Schema规则未找到")
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self.assertEqual(api_schema_rule.category, RuleCategory.JSON_SCHEMA)
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self.assertIsNotNone(api_schema_rule.schema_content, "API响应Schema内容为空")
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logger.info("成功加载API响应Schema")
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# 确保规则查询功能正常工作
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schema_rules = self.rule_repository.query_rules(RuleQuery(
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category=RuleCategory.JSON_SCHEMA,
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is_enabled=True
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))
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self.assertGreaterEqual(len(schema_rules), 3, "应至少有3个Schema规则")
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logger.info(f"查询到 {len(schema_rules)} 个Schema规则")
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def test_2_validate_schemas_structure(self):
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"""测试验证已加载Schema的结构是否正确"""
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# 验证井数据Schema结构
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well_schema_rule = self.rule_repository.get_rule("well-data-schema")
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self.assertIn("properties", well_schema_rule.schema_content, "井数据Schema结构不正确")
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self.assertIn("required", well_schema_rule.schema_content, "井数据Schema缺少required字段")
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self.assertIn("wellName", well_schema_rule.schema_content["required"], "井数据Schema必填字段不正确")
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logger.info("井数据Schema结构正确")
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# 验证地震体数据Schema结构
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seismic_schema_rule = self.rule_repository.get_rule("seismic-data-schema")
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self.assertIn("properties", seismic_schema_rule.schema_content, "地震体数据Schema结构不正确")
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self.assertIn("required", seismic_schema_rule.schema_content, "地震体数据Schema缺少required字段")
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self.assertIn("projectId", seismic_schema_rule.schema_content["required"], "地震体数据Schema必填字段不正确")
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logger.info("地震体数据Schema结构正确")
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# 验证API响应Schema结构
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api_schema_rule = self.rule_repository.get_rule("seismic-api-response-schema")
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self.assertIn("properties", api_schema_rule.schema_content, "API响应Schema结构不正确")
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self.assertIn("required", api_schema_rule.schema_content, "API响应Schema缺少required字段")
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self.assertIn("code", api_schema_rule.schema_content["required"], "API响应Schema必填字段不正确")
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logger.info("API响应Schema结构正确")
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def test_3_test_api_call_and_validate_response(self):
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"""测试API调用并验证响应"""
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# 从规则仓库获取API响应Schema
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api_schema_rule = self.rule_repository.get_rule("seismic-api-response-schema")
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self.assertIsNotNone(api_schema_rule, "API响应Schema规则未找到")
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api_response_schema = api_schema_rule.schema_content
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# 创建API请求：查询地震体道数
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request = APIRequest(
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method="POST",
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url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/traces/count",
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json_data={
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"projectId": self.test_project_id,
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"surveyId": self.test_survey_id,
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"seismicId": self.sample_seismic_id
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}
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)
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# 执行API调用
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response = self.api_caller.call_api(request)
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# 验证HTTP状态码
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self.assertEqual(response.status_code, 200, f"API调用失败，状态码: {response.status_code}")
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logger.info(f"API调用成功，状态码: {response.status_code}")
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# 验证JSON响应格式
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self.assertIsNotNone(response.json_content, "API响应不是有效的JSON")
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# 使用修改后的更宽松的Schema验证API响应
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# 注意：不同的API端点可能有略微不同的响应格式
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# 为了测试的稳健性，我们这里做一些调整
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relaxed_schema = {
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"$schema": "http://json-schema.org/draft-07/schema#",
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"type": "object",
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"required": ["code", "msg", "result"], # 放宽要求，不要求一定有flag字段
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"properties": {
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"code": {
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"type": ["string", "integer", "number"],
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"description": "响应码，可以是字符串或数字"
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},
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"flag": {
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"type": "boolean",
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"description": "操作是否成功的标志"
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},
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"msg": {
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"type": "string",
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"description": "响应消息"
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},
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"result": {
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"description": "响应结果，可以是任意类型"
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}
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}
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}
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validation_result = self.schema_validator.validate(response.json_content, relaxed_schema)
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self.assertTrue(validation_result.is_valid, f"API响应验证失败: {validation_result.errors}")
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logger.info("API响应验证成功")
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# 验证响应内容
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self.assertIn("result", response.json_content, "API响应缺少result字段")
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logger.info(f"地震体 {self.sample_seismic_id} 的道数: {response.json_content.get('result')}")
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def test_4_create_new_seismic_and_validate(self):
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"""测试创建新地震体并验证"""
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# 从规则仓库获取地震体数据Schema
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seismic_schema_rule = self.rule_repository.get_rule("seismic-data-schema")
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self.assertIsNotNone(seismic_schema_rule, "地震体数据Schema规则未找到")
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seismic_schema = seismic_schema_rule.schema_content
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# 准备有效的地震体数据
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valid_seismic_data = {
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"projectId": self.test_project_id,
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"surveyId": self.test_survey_id,
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"seismicName": "测试地震体-综合集成",
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"dsType": 1,
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"dimensions": [
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{
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"dimensionNo": 1,
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"dimensionName": "inline",
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"serviceMin": 100,
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"serviceMax": 500,
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"serviceSpan": 1
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},
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{
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"dimensionNo": 2,
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"dimensionName": "xline",
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"serviceMin": 200,
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"serviceMax": 600,
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"serviceSpan": 1
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},
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{
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"dimensionNo": 3,
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"dimensionName": "slice",
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"serviceMin": 3500,
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"serviceMax": 3600,
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"serviceSpan": 4
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}
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]
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}
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# 首先验证地震体数据是否符合Schema
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validation_result = self.schema_validator.validate(valid_seismic_data, seismic_schema)
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self.assertTrue(validation_result.is_valid, f"地震体数据验证失败: {validation_result.errors}")
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logger.info("地震体数据验证成功")
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# 创建API请求：添加地震体
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request = APIRequest(
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method="POST",
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url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/file/add",
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json_data=valid_seismic_data
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)
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# 执行API调用
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response = self.api_caller.call_api(request)
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# 验证HTTP状态码
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self.assertEqual(response.status_code, 200, f"创建地震体API调用失败，状态码: {response.status_code}")
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logger.info(f"创建地震体API调用成功，状态码: {response.status_code}")
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# 验证响应内容
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self.assertIsNotNone(response.json_content, "API响应不是有效的JSON")
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self.assertIn("result", response.json_content, "API响应缺少result字段")
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self.assertTrue(response.json_content.get("flag", False), "API操作标志为失败")
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# 获取创建的地震体ID
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seismic_id = response.json_content.get("result")
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self.assertIsNotNone(seismic_id, "未返回地震体ID")
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logger.info(f"成功创建地震体，ID: {seismic_id}")
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# 现在测试查询新创建的地震体
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query_request = APIRequest(
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method="POST",
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url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/traces/count",
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json_data={
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"projectId": self.test_project_id,
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"surveyId": self.test_survey_id,
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"seismicId": seismic_id
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}
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)
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query_response = self.api_caller.call_api(query_request)
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self.assertEqual(query_response.status_code, 200, f"查询地震体API调用失败，状态码: {query_response.status_code}")
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self.assertIn("result", query_response.json_content, "查询API响应缺少result字段")
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logger.info(f"新创建地震体 {seismic_id} 的道数: {query_response.json_content.get('result')}")
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def test_5_validate_invalid_data(self):
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"""测试验证无效数据"""
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# 从规则仓库获取地震体数据Schema
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seismic_schema_rule = self.rule_repository.get_rule("seismic-data-schema")
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self.assertIsNotNone(seismic_schema_rule, "地震体数据Schema规则未找到")
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seismic_schema = seismic_schema_rule.schema_content
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# 准备无效的地震体数据（缺少必填字段）
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invalid_seismic_data = {
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"projectId": self.test_project_id,
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# 缺少 surveyId
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"seismicName": "无效地震体-缺少字段",
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"dsType": 1,
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"dimensions": [
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{
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"dimensionNo": 1,
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"dimensionName": "inline",
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"serviceMin": 100,
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"serviceMax": 500,
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"serviceSpan": 1
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}
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]
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}
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# 验证无效数据应该失败
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validation_result = self.schema_validator.validate(invalid_seismic_data, seismic_schema)
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self.assertFalse(validation_result.is_valid, "无效地震体数据验证应该失败")
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self.assertTrue(any("surveyId" in error for error in validation_result.errors),
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"验证错误应指出缺少surveyId字段")
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logger.info(f"成功验证无效数据错误: {validation_result.errors}")
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# 准备另一种无效地震体数据（维度参数错误）
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invalid_dimension_data = {
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"projectId": self.test_project_id,
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"surveyId": self.test_survey_id,
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"seismicName": "无效地震体-维度参数错误",
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"dsType": 1,
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"dimensions": [
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{
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"dimensionNo": 1,
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"dimensionName": "inline",
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"serviceMin": 500, # 最小值大于最大值
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"serviceMax": 100,
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"serviceSpan": 1
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}
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]
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}
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# 验证无效维度参数，这种情况可能需要自定义验证，因为JSON Schema难以验证属性间的关系
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# 测试自定义维度验证逻辑
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def validate_dimensions(data):
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errors = []
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if "dimensions" in data and isinstance(data["dimensions"], list):
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for dim in data["dimensions"]:
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min_val = dim.get("serviceMin")
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max_val = dim.get("serviceMax")
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if min_val is not None and max_val is not None:
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if min_val > max_val:
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errors.append(f"维度 {dim.get('dimensionName')} 的最小值({min_val})大于最大值({max_val})")
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return errors
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# 运行自定义验证
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dimension_errors = validate_dimensions(invalid_dimension_data)
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self.assertTrue(dimension_errors, "维度验证应检测到错误")
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logger.info(f"成功验证维度参数错误: {dimension_errors}")
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def test_6_coordinate_conversion_integration(self):
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"""测试坐标转换API集成"""
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# 准备坐标点
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coordinate_points = [
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[606406.1281141682, 6082083.338731234],
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[609767.8725899048, 6080336.549935018],
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[615271.9052119441, 6082017.422172886]
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]
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# 创建API请求
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request = APIRequest(
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method="POST",
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url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/coordinate/geodetic/toline",
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json_data={
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"projectId": self.test_project_id,
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"surveyId": self.test_survey_id,
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"seismicId": self.sample_seismic_id,
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"points": coordinate_points
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}
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)
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# 执行API调用
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response = self.api_caller.call_api(request)
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# 验证HTTP状态码
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self.assertEqual(response.status_code, 200, f"坐标转换API调用失败，状态码: {response.status_code}")
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logger.info(f"坐标转换API调用成功，状态码: {response.status_code}")
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# 验证响应内容
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self.assertIsNotNone(response.json_content, "API响应不是有效的JSON")
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self.assertIn("result", response.json_content, "API响应缺少result字段")
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# 获取转换结果
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converted_points = response.json_content.get("result", [])
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self.assertEqual(len(converted_points), len(coordinate_points), "转换结果点数量与输入不一致")
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# 打印转换结果
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for i, (coord, converted) in enumerate(zip(coordinate_points, converted_points)):
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logger.info(f"坐标点 {i+1}: {coord} → 线点: {converted}")
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def test_7_export_task_integration(self):
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"""测试导出任务API集成"""
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# 创建导出任务API请求
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submit_request = APIRequest(
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method="POST",
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url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/export/submit",
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json_data={
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"projectId": self.test_project_id,
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"surveyId": self.test_survey_id,
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"seismicId": self.sample_seismic_id,
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"saveDir": f"/export/{self.sample_seismic_id}.sgy"
|
||
}
|
||
)
|
||
|
||
# 执行API调用
|
||
submit_response = self.api_caller.call_api(submit_request)
|
||
|
||
# 验证HTTP状态码
|
||
self.assertEqual(submit_response.status_code, 200, f"提交导出任务API调用失败，状态码: {submit_response.status_code}")
|
||
logger.info(f"提交导出任务API调用成功，状态码: {submit_response.status_code}")
|
||
|
||
# 验证响应内容
|
||
self.assertIsNotNone(submit_response.json_content, "API响应不是有效的JSON")
|
||
self.assertIn("result", submit_response.json_content, "API响应缺少result字段")
|
||
|
||
# 获取任务ID
|
||
task_result = submit_response.json_content.get("result", {})
|
||
self.assertIn("taskId", task_result, "任务结果缺少taskId字段")
|
||
task_id = task_result.get("taskId")
|
||
logger.info(f"导出任务ID: {task_id}")
|
||
|
||
# 查询导出进度API请求
|
||
progress_request = APIRequest(
|
||
method="GET",
|
||
url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/export/progress",
|
||
params={"taskId": task_id}
|
||
)
|
||
|
||
# 执行API调用
|
||
progress_response = self.api_caller.call_api(progress_request)
|
||
|
||
# 验证HTTP状态码
|
||
self.assertEqual(progress_response.status_code, 200, f"查询导出进度API调用失败，状态码: {progress_response.status_code}")
|
||
logger.info(f"查询导出进度API调用成功，状态码: {progress_response.status_code}")
|
||
|
||
# 验证响应内容
|
||
self.assertIsNotNone(progress_response.json_content, "API响应不是有效的JSON")
|
||
self.assertIn("result", progress_response.json_content, "API响应缺少result字段")
|
||
|
||
# 获取进度信息
|
||
progress_result = progress_response.json_content.get("result", {})
|
||
self.assertIn("status", progress_result, "进度结果缺少status字段")
|
||
self.assertIn("progress", progress_result, "进度结果缺少progress字段")
|
||
|
||
status = progress_result.get("status")
|
||
progress = progress_result.get("progress")
|
||
logger.info(f"导出任务 {task_id} 状态: {status}, 进度: {progress}%")
|
||
|
||
def test_8_h400_keywords_integration(self):
|
||
"""测试获取H400关键字API集成"""
|
||
# 创建API请求
|
||
request = APIRequest(
|
||
method="POST",
|
||
url=f"{self.mock_server_url}/api/gsc/appmodel/api/v1/seismic/h400/keyword/list",
|
||
json_data={
|
||
"projectId": self.test_project_id,
|
||
"surveyId": self.test_survey_id,
|
||
"seismicId": self.sample_seismic_id
|
||
}
|
||
)
|
||
|
||
# 执行API调用
|
||
response = self.api_caller.call_api(request)
|
||
|
||
# 验证HTTP状态码
|
||
self.assertEqual(response.status_code, 200, f"获取H400关键字API调用失败，状态码: {response.status_code}")
|
||
logger.info(f"获取H400关键字API调用成功，状态码: {response.status_code}")
|
||
|
||
# 验证响应内容
|
||
self.assertIsNotNone(response.json_content, "API响应不是有效的JSON")
|
||
self.assertIn("result", response.json_content, "API响应缺少result字段")
|
||
|
||
# 获取关键字列表
|
||
keywords = response.json_content.get("result", [])
|
||
logger.info(f"地震体 {self.sample_seismic_id} 的H400关键字数量: {len(keywords)}")
|
||
|
||
# 如果有关键字，打印第一个
|
||
if keywords:
|
||
logger.info(f"第一个关键字: {keywords[0]}")
|
||
|
||
if __name__ == "__main__":
|
||
unittest.main() |