adjust prompt and feishu message style
This commit is contained in:
@@ -7,7 +7,7 @@ from app.config import get_settings
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import json
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from openai import OpenAI
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from app.message import send_requirement_result, send_test_cases, send_message_to_feishu, send_generate_code
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from app.message import send_requirement_result, send_test_cases, send_message_to_feishu, send_generate_code, send_workflow_start
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from app.models import RequirementAnalysis, TestCaseResult, CodeGenerationResult
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# 初始化日志
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@@ -58,10 +58,12 @@ class PMAgent:
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response = self.client.chat.completions.create(
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model=self.settings.model,
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messages=[
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{"role": "system", "content": "你是一个资深的产品经理，擅长需求分析和拆解，输出必须是严格的 JSON 格式。"},
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{"role": "user", "content": prompt}
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],
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temperature=0.7,
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max_tokens=2000
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temperature=0.2,
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max_tokens=2000,
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response_format={"type": "json_object"}
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)
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# 提取响应内容
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@@ -117,7 +119,7 @@ class QAAgent:
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{requirement_analysis["summary"]}
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"""
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prompt = f"""你是一个资深的QA工程师。根据以下需求信息，生成全面的测试用例和测试策略。
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prompt = f"""你是一个资深的Java QA工程师。根据以下需求信息，生成全面的Java测试用例和测试策略。所有测试用例必须基于Java语言，步骤和预期结果要符合Java的类型系统、异常机制和JUnit测试框架。
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{requirement_text}
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@@ -130,7 +132,7 @@ class QAAgent:
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"precondition": "前置条件",
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"steps": ["步骤1", "步骤2", ...],
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"expected_result": "预期结果",
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"test_type": "功能测试|性能测试|安全测试"
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"test_type": "必须从以下值中选择一个：功能测试、性能测试、安全测试"
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}},
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...
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],
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@@ -143,17 +145,21 @@ class QAAgent:
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2. 为每个边缘情况生成1个测试用例
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3. 生成至少1个性能测试用例
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4. 生成至少1个安全测试用例
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5. 测试用例要包含明确的步骤和预期结果
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5. 测试用例要包含明确的步骤和预期结果，步骤和预期结果必须符合Java语言特性（不要出现Python或其他语言的描述）
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6. 步骤和预期结果必须用自然语言描述，不得包含任何代码片段或代码块，不要出现 ```、assert、assertEquals 等代码语法
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7. 测试策略不要出现JUnit或者Java这种字眼，应该是针对需求的测试方法论和思路描述，覆盖计划要说明如何确保测试覆盖所有功能和边界情况
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返回ONLY JSON内容，不要有其他文字。"""
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response = self.client.chat.completions.create(
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model=self.settings.model,
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messages=[
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{"role": "system", "content": "你是一个资深的 Java QA 工程师，擅长为 Java 应用程序设计测试用例，所有测试步骤和预期结果必须基于 Java 语言特性（如 JUnit、强类型系统、异常机制等），输出必须是严格的 JSON 格式。"},
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{"role": "user", "content": prompt}
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],
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temperature=0.7,
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max_tokens=3000
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temperature=0.2,
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max_tokens=3000,
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response_format={"type": "json_object"}
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)
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content = response.choices[0].message.content
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@@ -208,10 +214,17 @@ class DevAgent:
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{requirement_analysis["summary"]}
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"""
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test_cases_text = chr(10).join(
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f"- [{c['test_id']}] {c['test_name']}（类型：{c.get('test_type', '未分类')}）｜预期结果：{c['expected_result']}"
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for c in test_cases["test_cases"]
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)
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test_summary = f"""
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测试用例数量: {len(test_cases["test_cases"])}
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测试策略: {test_cases["test_strategy"]}
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覆盖计划: {test_cases["coverage_plan"]}
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关键测试用例列表：
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{test_cases_text}
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"""
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prompt = f"""你是一个资深的Java开发工程师。根据以下需求和测试用例，生成高质量的Java实现代码和单元测试代码。
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@@ -225,13 +238,13 @@ class DevAgent:
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"java_code": "完整的Java实现代码（包含主类和必要的辅助类）",
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"unit_tests": "使用JUnit的单元测试代码",
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"implementation_notes": "实现说明和注意事项",
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"unit_tests_count": "生成的单元测试数量",
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"passed_tests_count": "通过的单元测试数量"
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"unit_tests_count": "生成的单元测试总数量（整数）",
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"passed_tests_count": "基于代码逻辑分析，预期可通过的单元测试数量（整数）"
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}}
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Java代码要求：
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1. 遵循Java编码规范和最佳实践
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2. 包含详细的代码注释
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2. 包含详细的代码注释，所有多行注释必须以 /* 开头、以 */ 结尾，Javadoc注释以 /** 开头、以 */ 结尾，绝对不能用单独的 / 作为注释结尾
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3. 包含异常处理
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4. 支持所有的功能需求
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5. 考虑非功能需求（性能、安全等）
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@@ -243,17 +256,17 @@ Java代码要求：
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4. 使用有意义的测试方法名称
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5. 测试代码要清晰易读
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通过的单元测试数量一定要是你真实运行了单元测试之后得到的真实数字，不能伪造
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返回ONLY JSON内容，不要有其他文字。"""
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response = self.client.chat.completions.create(
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model=self.settings.model,
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messages=[
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{"role": "system", "content": "你是一个资深的 Java 开发工程师，擅长编写高质量代码和单元测试，输出必须是严格的 JSON 格式。"},
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{"role": "user", "content": prompt}
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],
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temperature=0.7,
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max_tokens=8192
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temperature=0.2,
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max_tokens=8192,
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response_format={"type": "json_object"}
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)
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content = response.choices[0].message.content
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@@ -282,7 +295,7 @@ async def orchestrate_agents(simple_requirement: str) -> dict:
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包含所有Agent结果的完整字典
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"""
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send_message_to_feishu(f"收到新需求: {simple_requirement}")
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send_workflow_start(simple_requirement)
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# Step 1: PM Agent 分析需求
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pm_agent = PMAgent()
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requirement_analysis = pm_agent.analyze_requirement(simple_requirement)
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387
app/message.py
387
app/message.py
@@ -7,189 +7,164 @@ from app.models import RequirementAnalysis, TestCaseResult, CodeGenerationResult
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webhook_url = "https://open.feishu.cn/open-apis/bot/v2/hook/0cd37406-31b8-424a-a3da-c11ce465ac29"
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def send_message_to_feishu(message: str):
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data = {
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"msg_type": "text",
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"content": {
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"text": message
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}
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}
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_TYPE_EMOJI = {
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"功能测试": "🧩",
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"性能测试": "⚡",
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"安全测试": "🔒",
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}
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def _post(data: dict):
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requests.post(
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webhook_url,
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headers={"Content-Type": "application/json"},
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data=json.dumps(data)
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data=json.dumps(data, ensure_ascii=False)
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)
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def _make_card(title: str, color: str, elements: list) -> dict:
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return {
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"msg_type": "interactive",
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"card": {
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"config": {"wide_screen_mode": True},
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"header": {
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"title": {"tag": "plain_text", "content": title},
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"template": color
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},
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"elements": elements
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}
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}
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def send_message_to_feishu(message: str):
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_post({"msg_type": "text", "content": {"text": message}})
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def send_workflow_start(requirement: str):
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elements = [
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{
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"tag": "markdown",
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"content": f"收到新需求：\n\n**{requirement}**"
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},
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{"tag": "hr"},
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{
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"tag": "markdown",
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"content": "🤖 **AI 将按以下流程自动处理，请稍候...**"
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},
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{
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"tag": "column_set",
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"flex_mode": "stretch",
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"background_style": "default",
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"columns": [
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{
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"tag": "column",
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"width": "weighted",
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"weight": 1,
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"background_style": "blue-300",
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"elements": [{
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"tag": "markdown",
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"content": "\n **📌 需求分析**\n\n - 功能需求拆解\n - 非功能需求识别\n - 验收标准制定\n - 边界情况梳理\n "
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}]
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},
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{
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"tag": "column",
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"width": "auto",
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"elements": [{"tag": "markdown", "content": "\n\n\n\n**→**"}]
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},
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{
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"tag": "column",
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"width": "weighted",
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"weight": 1,
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"background_style": "sunflower-300",
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"elements": [{
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"tag": "markdown",
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"content": "\n **🧪 测试用例生成**\n\n - 功能测试用例\n - 性能测试用例\n - 安全测试用例\n - 测试策略规划\n - 测试覆盖计划\n "
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}]
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},
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{
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"tag": "column",
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"width": "auto",
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"elements": [{"tag": "markdown", "content": "\n\n\n\n**→**"}]
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},
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{
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"tag": "column",
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"width": "weighted",
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"weight": 1,
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"background_style": "green-300",
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"elements": [{
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"tag": "markdown",
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"content": "\n **💻 代码生成**\n\n - 实现思路\n - 业务代码\n - 单元测试代码\n - 测试执行报告\n "
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}]
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}
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]
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}
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]
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_post(_make_card("🚀 AI 全自动开发流程启动", "purple", elements))
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def send_requirement_result(requirement_analysis: RequirementAnalysis):
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data = {
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"msg_type": "interactive",
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"card": {
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"config": {
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"wide_screen_mode": True
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},
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"header": {
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"title": {
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"tag": "plain_text",
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"content": "📌 需求分析结果"
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},
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"template": "blue"
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},
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"elements": [
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{
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"tag": "markdown",
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"content": f"---\n**📎 总结：**\n\n{requirement_analysis['summary']}"
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},
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{
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"tag": "markdown",
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"content": f"### 🧩 功能需求\n\n{chr(10).join([f'- {req}' for req in requirement_analysis['functional_requirements']])}"
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},
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{
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"tag": "markdown",
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"content": f"### 🚀 非功能需求\n\n{chr(10).join([f'- {req}' for req in requirement_analysis['non_functional_requirements']])}"
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},
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{
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"tag": "markdown",
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"content": f"### ⚠️ 边界情况\n\n{chr(10).join([f'- {case}' for case in requirement_analysis['edge_cases']])}"
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},
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{
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"tag": "markdown",
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"content": f"### ✅ 验收标准\n\n{chr(10).join([f'- {criteria}' for criteria in requirement_analysis['acceptance_criteria']])}"
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}
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]
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}
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}
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elements = [
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{"tag": "markdown", "content": f"**📎 需求总结**\n\n{requirement_analysis['summary']}"},
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{"tag": "hr"},
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{"tag": "markdown", "content": "**🧩 功能需求**\n\n" + "\n".join(f"- {r}" for r in requirement_analysis["functional_requirements"])},
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{"tag": "hr"},
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{"tag": "markdown", "content": "**🚀 非功能需求**\n\n" + "\n".join(f"- {r}" for r in requirement_analysis["non_functional_requirements"])},
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{"tag": "hr"},
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{"tag": "markdown", "content": "**⚠️ 边界情况**\n\n" + "\n".join(f"- {c}" for c in requirement_analysis["edge_cases"])},
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{"tag": "hr"},
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{"tag": "markdown", "content": "**✅ 验收标准**\n\n" + "\n".join(f"- {c}" for c in requirement_analysis["acceptance_criteria"])},
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]
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_post(_make_card("📌 需求分析结果", "blue", elements))
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requests.post(
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webhook_url,
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headers={"Content-Type": "application/json"},
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data=json.dumps(data)
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)
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def send_generate_code(code_result: CodeGenerationResult):
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implementation_notes_data = {
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"msg_type": "interactive",
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"card": {
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"config": {
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"wide_screen_mode": True
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},
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"header": {
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"title": {
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"tag": "plain_text",
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"content": "📌 代码生成结果 - 实现思路"
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},
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"template": "green"
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},
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"elements": [
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{
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"tag": "markdown",
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"content": code_result['implementation_notes']
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}
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]
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}
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}
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# 实现思路
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_post(_make_card(
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"📌 代码生成结果 — 实现思路", "green",
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[{"tag": "markdown", "content": code_result["implementation_notes"]}]
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))
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java_code_data = {
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"msg_type": "interactive",
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"card": {
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"config": {
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"wide_screen_mode": True
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},
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"header": {
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"title": {
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"tag": "plain_text",
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"content": "📌 代码生成结果 - 业务代码"
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},
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"template": "green"
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},
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"elements": [
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{
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"tag": "markdown",
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"content": code_result['java_code']
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}
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]
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}
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}
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# 业务代码
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_post(_make_card(
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"💻 代码生成结果 — 业务代码", "green",
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[{"tag": "markdown", "content": f"```java\n{code_result['java_code']}\n```"}]
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))
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unit_tests_data = {
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"msg_type": "interactive",
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"card": {
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"config": {
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"wide_screen_mode": True
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},
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"header": {
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"title": {
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"tag": "plain_text",
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"content": "🚀 代码生成结果 - 测试代码"
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},
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"template": "green"
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},
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"elements": [
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{
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"tag": "markdown",
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"content": code_result['unit_tests']
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}
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]
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}
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}
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# 单元测试代码
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_post(_make_card(
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"🧪 代码生成结果 — 单元测试代码", "green",
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[{"tag": "markdown", "content": f"```java\n{code_result['unit_tests']}\n```"}]
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))
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passed_tests_data = {
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"msg_type": "interactive",
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"card": {
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"config": {
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"wide_screen_mode": True
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},
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"header": {
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"title": {
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"tag": "plain_text",
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"content": "🚀 代码生成结果 - 单元测试执行结果"
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},
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"template": "green"
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},
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"elements": [
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{
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"tag": "markdown",
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"content": f"""
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### 📊 测试统计
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# 单元测试执行结果
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try:
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total = int(code_result["unit_tests_count"])
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passed = int(code_result["passed_tests_count"])
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failed = total - passed
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rate = f"{passed / total * 100:.0f}%" if total > 0 else "—"
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status = "✅ 全部通过" if failed == 0 else f"⚠️ {failed} 个未通过"
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failed_display = f"{failed} ❌" if failed > 0 else "0"
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except (ValueError, TypeError):
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total = code_result["unit_tests_count"]
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passed = code_result["passed_tests_count"]
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failed_display, rate, status = "—", "—", "—"
|
||||
|
||||
- **总用例数：** {code_result['unit_tests_count']}
|
||||
- **通过：** {code_result['passed_tests_count']}
|
||||
"""
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
requests.post(
|
||||
webhook_url,
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=json.dumps(implementation_notes_data)
|
||||
result_md = (
|
||||
f"**总用例数：** {total}\n\n"
|
||||
f"**通过：** {passed} ✅\n\n"
|
||||
f"**未通过：** {failed_display}\n\n"
|
||||
f"**通过率：** {rate}\n\n"
|
||||
f"---\n\n"
|
||||
f"**整体状态：** {status}"
|
||||
)
|
||||
_post(_make_card(
|
||||
"📊 代码生成结果 — 单元测试执行结果", "green",
|
||||
[{"tag": "markdown", "content": result_md}]
|
||||
))
|
||||
|
||||
requests.post(
|
||||
webhook_url,
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=json.dumps(java_code_data)
|
||||
)
|
||||
|
||||
requests.post(
|
||||
webhook_url,
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=json.dumps(unit_tests_data)
|
||||
)
|
||||
requests.post(
|
||||
webhook_url,
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=json.dumps(passed_tests_data)
|
||||
)
|
||||
|
||||
def send_test_cases(test_case: TestCaseResult):
|
||||
|
||||
requests.post(
|
||||
webhook_url,
|
||||
headers={"Content-Type": "application/json"},
|
||||
data=json.dumps(build_full_feishu_card(test_case))
|
||||
)
|
||||
_post(build_full_feishu_card(test_case))
|
||||
|
||||
|
||||
def build_full_feishu_card(data: TestCaseResult) -> dict:
|
||||
@@ -198,76 +173,44 @@ def build_full_feishu_card(data: TestCaseResult) -> dict:
|
||||
type_counter = defaultdict(int)
|
||||
grouped_cases = defaultdict(list)
|
||||
|
||||
# 分组 + 统计
|
||||
for case in test_cases:
|
||||
t_type = case.get("test_type", "未分类")
|
||||
type_counter[t_type] += 1
|
||||
grouped_cases[t_type].append(case)
|
||||
|
||||
total = len(test_cases)
|
||||
|
||||
elements = []
|
||||
|
||||
# 📊 统计
|
||||
stats_text = "### 📊 测试统计\n\n"
|
||||
stats_text += f"- 总用例数：**{total}**\n"
|
||||
for k, v in type_counter.items():
|
||||
stats_text += f"- {k}：{v}\n"
|
||||
# 测试统计
|
||||
stats_lines = [f"**📊 测试用例统计**\n", f"- 总用例数：**{total}**"]
|
||||
for t_type, count in type_counter.items():
|
||||
emoji = _TYPE_EMOJI.get(t_type, "📋")
|
||||
stats_lines.append(f"- {emoji} {t_type}：**{count}**")
|
||||
elements.append({"tag": "markdown", "content": "\n".join(stats_lines)})
|
||||
|
||||
elements.append({
|
||||
"tag": "markdown",
|
||||
"content": stats_text
|
||||
})
|
||||
|
||||
# 🗂 分组 + 全量展示
|
||||
# 分组展示
|
||||
for test_type, cases in grouped_cases.items():
|
||||
elements.append({
|
||||
"tag": "markdown",
|
||||
"content": f"---\n## 🗂 {test_type}"
|
||||
})
|
||||
emoji = _TYPE_EMOJI.get(test_type, "📋")
|
||||
elements.append({"tag": "hr"})
|
||||
elements.append({"tag": "markdown", "content": f"## {emoji} {test_type}"})
|
||||
|
||||
for case in cases:
|
||||
steps_text = "\n".join([f" {i+1}. {s}" for i, s in enumerate(case.get("steps", []))])
|
||||
steps_text = "\n".join(f" {i + 1}. {s}" for i, s in enumerate(case.get("steps", [])))
|
||||
case_text = (
|
||||
f"**{case.get('test_id')} · {case.get('test_name')}**\n\n"
|
||||
f"- **前置条件：** {case.get('precondition')}\n"
|
||||
f"- **执行步骤：**\n{steps_text}\n"
|
||||
f"- **期望结果：** {case.get('expected_result')}"
|
||||
)
|
||||
elements.append({"tag": "markdown", "content": case_text})
|
||||
|
||||
case_text = f"""### {case.get('test_id')} - {case.get('test_name')}
|
||||
# 测试策略
|
||||
elements.append({"tag": "hr"})
|
||||
elements.append({"tag": "markdown", "content": f"**🧠 测试策略**\n\n{data.get('test_strategy')}"})
|
||||
|
||||
- **前置条件：** {case.get('precondition')}
|
||||
- **执行步骤：**
|
||||
{steps_text}
|
||||
- **期望结果：** {case.get('expected_result')}
|
||||
"""
|
||||
# 覆盖计划
|
||||
elements.append({"tag": "hr"})
|
||||
elements.append({"tag": "markdown", "content": f"**🎯 覆盖计划**\n\n{data.get('coverage_plan')}"})
|
||||
|
||||
elements.append({
|
||||
"tag": "markdown",
|
||||
"content": case_text
|
||||
})
|
||||
|
||||
# 🧠 测试策略
|
||||
elements.append({
|
||||
"tag": "markdown",
|
||||
"content": f"---\n### 🧠 测试策略\n\n{data.get('test_strategy')}"
|
||||
})
|
||||
|
||||
# 🎯 覆盖计划
|
||||
elements.append({
|
||||
"tag": "markdown",
|
||||
"content": f"---\n### 🎯 覆盖计划\n\n{data.get('coverage_plan')}"
|
||||
})
|
||||
|
||||
return {
|
||||
"msg_type": "interactive",
|
||||
"card": {
|
||||
"config": {
|
||||
"wide_screen_mode": True
|
||||
},
|
||||
"header": {
|
||||
"title": {
|
||||
"tag": "plain_text",
|
||||
"content": "🧪 自动化测试用例结果"
|
||||
},
|
||||
"template": "blue"
|
||||
},
|
||||
"elements": elements
|
||||
}
|
||||
}
|
||||
return _make_card("🧪 自动化测试用例结果", "blue", elements)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user