docs: 移除README中已实现代码的详细说明部分

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songsenand 2026-03-17 23:43:58 +08:00
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本项目是一个基于大语言模型的智能代码生成与维护工具。它不仅能够根据项目 `README.md` 描述**自动生成完整的 Python 包代码**,还支持**在现有项目上增量添加功能**和**自动修复 Bug**。工具采用 `uv` 管理依赖,包含单元测试、并行检查、断点续写等特性,并通过一个**面向 LLM 的中间设计层**来提升生成质量和可维护性。
## 特别说明
我已经实现了一个简易版本,请在此基础上修改、拓展、开发:
```
#!/home/songsenand/env/.venv/bin/python
"""
基于LLM的自动化代码生成工具
根据README.md文件自动生成项目文件结构并填充代码执行必要命令。
"""
import json
import os
import subprocess
import sys
from typing import List, Dict, Optional, Any, Tuple
from pathlib import Path
import typer
from rich.console import Console
from rich.progress import Progress, SpinnerColumn, TextColumn, BarColumn, TaskID
from loguru import logger
from openai import OpenAI
# ==================== 配置 ====================
DANGEROUS_COMMANDS = ["rm", "sudo", "chmod", "dd", "mkfs", "> /dev/sda", "format"]
ALLOWED_COMMANDS = [] # 可设置白名单,为空则只检查黑名单
app = typer.Typer(help="基于LLM的自动化代码生成工具")
console = Console()
# ==================== 工具函数 ====================
def is_dangerous_command(cmd: str) -> Tuple[bool, str]:
"""
判断命令是否危险
返回 (是否危险, 原因)
"""
cmd_lower = cmd.lower()
for danger in DANGEROUS_COMMANDS:
if danger in cmd_lower:
return True, f"包含危险关键词 '{danger}'"
return False, ""
# ==================== 核心类 ====================
class CodeGenerator:
"""代码生成器,封装所有逻辑"""
def __init__(
self,
api_key: Optional[str] = None,
base_url: str = "https://api.deepseek.com",
model: str = "deepseek-reasoner",
output_dir: str = "./generated",
log_file: Optional[str] = None,
):
"""
初始化生成器
Args:
api_key: OpenAI API密钥默认从环境变量DEEPSEEK_APIKEY读取
base_url: API基础URL
model: 使用的模型
output_dir: 输出根目录
log_file: 日志文件路径,默认自动生成
"""
self.api_key = api_key or os.getenv("DEEPSEEK_APIKEY")
if not self.api_key:
raise ValueError("必须提供API密钥或设置环境变量DEEPSEEK_APIKEY")
self.client = OpenAI(api_key=self.api_key, base_url=base_url)
self.model = model
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
# 配置日志
if log_file is None:
log_file = self.output_dir / "generator.log"
logger.remove() # 移除默认handler
logger.add(sys.stderr, level="WARNING") # 控制台输出INFO及以上
logger.add(log_file, rotation="10 MB", level="DEBUG") # 文件记录DEBUG
logger.info(f"日志已初始化,保存至: {log_file}")
self.readme_content = None
self.progress: Optional[Progress] = None
self.tasks: Dict[str, TaskID] = {} # 任务ID映射
def _call_llm(
self,
system_prompt: str,
user_prompt: str,
temperature: float = 0.2,
expect_json: bool = True,
) -> Dict[str, Any]:
"""
调用LLM并返回解析后的JSON
"""
logger.debug(f"调用LLM模型: {self.model}")
logger.debug(f"System: {system_prompt[:200]}...")
logger.debug(f"User: {user_prompt[:200]}...")
try:
response = self.client.chat.completions.create(
model=self.model,
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt},
],
temperature=temperature,
response_format={"type": "json_object"} if expect_json else None,
)
message = response.choices[0].message
content = message.content
# 记录思考过程(如果存在)
if hasattr(message, "reasoning_content") and message.reasoning_content:
logger.info(f"模型思考过程: {message.reasoning_content}")
logger.debug(f"LLM原始响应: {content[:500]}...")
if expect_json:
result = json.loads(content)
else:
result = {"content": content}
return result
except json.JSONDecodeError as e:
logger.error(f"JSON解析失败: {e}")
raise ValueError(f"LLM返回的不是有效JSON: {content[:200]}")
except Exception as e:
logger.error(f"LLM调用失败: {e}")
raise
def parse_readme(self, readme_path: Path) -> str:
"""
读取README文件内容
"""
logger.info(f"读取README文件: {readme_path}")
try:
with open(readme_path, "r", encoding="utf-8") as f:
content = f.read()
logger.debug(f"README内容长度: {len(content)} 字符")
return content
except Exception as e:
logger.error(f"读取README失败: {e}")
raise
def get_project_structure(self) -> Tuple[List[str], Dict[str, List[str]]]:
"""
根据README内容让LLM生成文件列表和依赖关系
Returns:
(files, dependencies)
files: 按顺序需要生成的文件路径列表
dependencies: 字典 {file: [依赖文件路径]}
"""
system_prompt = (
"你是一个软件架构师。请根据README描述分析需要生成哪些源代码文件并确定它们的生成顺序"
"同时给出每个文件生成时最少需要读取哪些已有文件作为上下文。"
"返回严格的JSON对象包含两个字段\n"
"- files: 数组,按生成顺序排列的文件路径(相对于项目根目录)\n"
"- dependencies: 对象,键为文件路径,值为该文件依赖的已有文件路径列表(可为空)\n"
"注意:依赖文件必须是已存在的参考文件,不要包含待生成的文件。"
)
user_prompt = f"README内容如下\n\n{self.readme_content}"
result = self._call_llm(system_prompt, user_prompt)
files = result.get("files", [])
dependencies = result.get("dependencies", {})
if not files:
raise ValueError("LLM未返回任何文件列表")
logger.info(f"解析到 {len(files)} 个待生成文件")
logger.debug(f"文件列表: {files}")
logger.debug(f"依赖关系: {dependencies}")
return files, dependencies
def generate_file(
self,
file_path: str,
prompt_instruction: str,
dependency_files: List[str],
) -> Tuple[str, str, List[str]]:
"""
生成单个文件,返回 (代码, 描述, 命令列表)
"""
# 读取依赖文件内容
context_content = []
if self.readme_content:
context_content.append(f"### 项目 README ###\n{self.readme_content}\n")
for dep in dependency_files:
dep_path = Path(dep)
if not dep_path.exists():
# 尝试相对于当前目录或输出目录查找
alt_path = self.output_dir / dep
if alt_path.exists():
dep_path = alt_path
else:
raise FileNotFoundError(f"依赖文件不存在: {dep}")
with open(dep_path, "r", encoding="utf-8") as f:
content = f.read()
context_content.append(f"### 文件: {dep_path.name} (路径: {dep}) ###\n{content}\n")
full_context = "\n".join(context_content)
system_prompt = (
"你是一个专业的编程助手。根据用户指令和提供的上下文文件,生成完整的代码。"
"返回严格的JSON对象包含三个字段\n"
"- code: (string) 生成的完整代码\n"
"- description: (string) 简短的中文功能描述\n"
"- commands: (array of string) 生成此文件后需要执行的操作系统命令列表(如编译、安装依赖等),若无则返回空数组"
)
user_prompt = f"{prompt_instruction}\n\n参考文件上下文:\n{full_context}"
result = self._call_llm(system_prompt, user_prompt)
code = result.get("code", "")
description = result.get("description", "")
commands = result.get("commands", [])
if not isinstance(commands, list):
commands = []
return code, description, commands
def execute_command(self, cmd: str, cwd: Optional[Path] = None) -> None:
"""
执行单个命令,检查风险
"""
dangerous, reason = is_dangerous_command(cmd)
if dangerous:
logger.error(f"危险命令被阻止: {cmd},原因: {reason}")
raise RuntimeError(f"危险命令: {cmd} ({reason})")
logger.info(f"执行命令: {cmd}")
try:
result = subprocess.run(
cmd,
shell=True,
cwd=cwd or self.output_dir,
capture_output=True,
text=True,
timeout=300, # 5分钟超时
)
logger.debug(f"命令返回码: {result.returncode}")
if result.stdout:
logger.debug(f"stdout: {result.stdout[:500]}")
if result.stderr:
logger.warning(f"stderr: {result.stderr[:500]}")
if result.returncode != 0:
raise subprocess.CalledProcessError(result.returncode, cmd)
except subprocess.TimeoutExpired:
logger.error(f"命令执行超时: {cmd}")
raise
except Exception as e:
logger.error(f"命令执行失败: {e}")
raise
def run(self, readme_path: Path):
"""
主执行流程
"""
logger.info("=" * 50)
logger.info("开始代码生成流程")
logger.info(f"README: {readme_path}")
logger.info(f"输出目录: {self.output_dir}")
# 初始化阶段用rich输出状态不会被日志级别过滤
console.print("[bold yellow]🔍 正在解析README...[/bold yellow]")
self.readme_content = self.parse_readme(readme_path)
console.print("[bold yellow]📋 正在分析项目结构...[/bold yellow]")
files, dependencies = self.get_project_structure()
console.print(f"[green]✅ 解析完成,共 {len(files)} 个文件待生成[/green]")
# 3. 创建进度条
with Progress(
SpinnerColumn(),
TextColumn("[progress.description]{task.description}"),
BarColumn(),
TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
console=console,
) as progress:
self.progress = progress
# 创建总任务
total_task = progress.add_task("[cyan]整体进度...", total=len(files))
# 依次生成每个文件
for idx, file in enumerate(files, 1):
logger.info(f"处理文件 [{idx}/{len(files)}]: {file}")
# 创建子任务(可选)
file_task = progress.add_task(f"生成 {file}", total=None)
try:
# 获取依赖文件
deps = dependencies.get(file, [])
# 构造生成指令
instruction = f"请根据README描述和依赖文件生成文件 '{file}' 的完整代码。"
# 调用LLM生成代码
code, desc, commands = self.generate_file(file, instruction, deps)
logger.info(f"生成完成: {file} - {desc}")
# 写入文件
output_path = self.output_dir / file
output_path.parent.mkdir(parents=True, exist_ok=True)
with open(output_path, "w", encoding="utf-8") as f:
f.write(code)
logger.info(f"已写入: {output_path}")
# 执行命令
for cmd in commands:
logger.info(f"准备执行命令: {cmd}")
self.execute_command(cmd, cwd=self.output_dir)
except Exception as e:
logger.error(f"处理文件 {file} 失败: {e}")
# 可选:继续或终止
raise
finally:
progress.remove_task(file_task)
progress.update(total_task, advance=1)
logger.success("所有文件处理完成!")
# ==================== CLI入口 ====================
@app.command()
def main(
readme: Path = typer.Argument(..., exists=True, file_okay=True, dir_okay=False, help="README.md文件路径"),
output_dir: Optional[Path] = typer.Option(None, "--output", "-o", help="输出根目录默认为readme所在目录"),
api_key: Optional[str] = typer.Option(None, "--api-key", envvar="DEEPSEEK_APIKEY", help="API密钥也可通过环境变量DEEPSEEK_APIKEY设置"),
base_url: str = typer.Option("https://api.deepseek.com", "--base-url", help="API基础URL"),
model: str = typer.Option("deepseek-reasoner", "--model", "-m", help="使用的模型"),
log_file: Optional[str] = typer.Option(None, "--log", help="日志文件路径默认输出目录下generator.log"),
):
"""
根据README自动生成项目代码
"""
if output_dir is None:
output_dir = readme.parent
try:
generator = CodeGenerator(
api_key=api_key,
base_url=base_url,
model=model,
output_dir=output_dir,
log_file=log_file,
)
generator.run(readme)
except Exception as e:
logger.error(f"程序异常退出: {e}")
raise typer.Exit(code=1)
if __name__ == "__main__":
app()
```
## ✨ 核心特性
- 📦 **自动生成**:解析 `README.md`,分析需要生成的文件列表及依赖关系,按顺序生成每个文件的代码。

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check_results.json Normal file

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@ -1,35 +0,0 @@
# 需求工单:完善单元测试
name: 完善单元测试
description: 当前项目的单元测试覆盖不足,需补充核心模块的测试用例,确保代码质量并便于后续迭代。
affected_files:
# 测试文件(可能需新建)
- tests/test_cli.py
- tests/test_core.py
- tests/test_checker.py
- tests/test_utils.py
- tests/test_models.py
# 核心代码文件(测试将覆盖它们,但本身无需修改)
- src/llm_codegen/cli.py
- src/llm_codegen/core.py
- src/llm_codegen/checker.py
- src/llm_codegen/utils.py
- src/llm_codegen/models.py
acceptance_criteria:
- 所有新增或修改的测试用例均通过 `pytest` 运行,无失败、错误或跳过。
- 测试覆盖率(语句覆盖率)不低于 85%,分支覆盖率不低于 70%,可通过 `pytest --cov=src/llm_codegen --cov-branch` 验证。
- 核心类 `CodeGenerator` 的以下方法被充分测试:
- `__init__`(不同参数组合)
- `_call_llm`(模拟 API 响应、超时、异常)
- `parse_readme`(正常文件、空文件、编码问题)
- `get_project_structure`(模拟 LLM 返回)
- `generate_file`(依赖文件存在/不存在)
- `execute_command`(正常执行、危险命令拦截、超时)
- `run`(完整流程的模拟)
- 并行检查模块 `checker.py` 的主要函数(如 `run_checks`、`apply_fixes`)需覆盖正常与错误场景。
- 工具函数 `is_dangerous_command` 应测试多个危险命令变体及安全命令。
- 命令行接口CLI需包含端到端测试验证 `init`、`enhance`、`fix` 子命令的基本流程(可使用 `CliRunner` 或 `subprocess` 模拟)。
- 测试应使用 `pytest` 的临时目录(`tmp_path`)和 `unittest.mock` 模拟外部依赖如文件系统、API 调用),避免污染实际环境。
- 为常用模拟操作(如模拟 OpenAI 客户端、模拟文件读写)编写可复用的 fixture。
- 测试代码遵循项目的编码规范(使用 black、isort 格式化,类型注解完整)。

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@ -0,0 +1,22 @@
# 需求工单:增强错误处理,避免生成过程中断
name: 增强错误处理机制
description: |
当前工具在生成代码过程中如果某个步骤如调用LLM、写入文件、执行命令等发生错误会直接抛出异常并终止整个生成流程。这种“一错即停”的行为在批量处理或长时间任务中非常不便用户希望即使出现局部错误工具也能记录错误信息并在命令行中友好显示然后继续执行剩余任务例如继续生成其他文件、执行后续检查等
具体改进要求:
- 在代码生成的主循环中捕获所有预期内异常如网络错误、文件权限错误、命令执行失败等记录错误日志使用loguru并在命令行中通过rich打印红色错误信息。
- 对于非致命错误,继续执行下一个文件或下一步骤。
- 致命错误如配置文件缺失、API密钥无效仍可终止但应给出清晰提示。
- 在最终汇总时,显示成功、失败和跳过的统计信息。
acceptance_criteria:
- 当某个文件生成失败时,控制台输出红色错误信息,但工具继续尝试生成下一个文件。
- 所有错误信息均写入日志文件logs/目录)。
- 生成结束后,显示汇总信息:“生成完成:成功 X 个,失败 Y 个,跳过 Z 个。”
- 如果发生致命错误如无法读取design.json工具应终止并给出明确提示。
- 错误处理不应影响已有状态文件的正确记录(断点续写功能需保持有效)。
affected_files:
- src/llm_codegen/core.py # 主要生成逻辑
- src/llm_codegen/cli.py # 命令行入口,可能包含主循环
- src/llm_codegen/utils.py # 可能增加错误辅助函数

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@ -13,6 +13,7 @@ dependencies = [
"rich>=13.0.0",
"loguru>=0.7.0",
"openai>=1.0.0",
"pathspec>=1.0.4",
]
authors = [
{name = "Your Name", email = "your.email@example.com"}
@ -32,9 +33,13 @@ dev = [
]
[project.scripts]
llm-codegen = "src.llm_codegen.cli:app"
llm-codegen = "llm_codegen.cli:app"
[tool.llm-codegen]
check_tools = ["pytest", "pylint", "mypy", "black"]
max_retries = 3
dangerous_commands = ["rm", "sudo", "chmod", "dd"]
# 新增:指定包所在目录
[tool.setuptools.packages.find]
where = ["src"]

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@ -1,21 +1,33 @@
import json
import subprocess
import sys
from typing import List, Dict, Optional, Tuple, Any
from pathlib import Path
from concurrent.futures import ThreadPoolExecutor, as_completed
import os
import warnings
from loguru import logger
from .core import CodeGenerator
from .utils import is_dangerous_command
# 尝试导入 pathspec用于精确解析 .gitignore
try:
from pathspec import PathSpec
from pathspec.patterns import GitWildMatchPattern
HAS_PATHSPEC = True
except ImportError:
HAS_PATHSPEC = False
import fnmatch
warnings.warn(
"pathspec 未安装,将使用简单的通配符匹配处理 .gitignore可能不完全准确"
"建议安装pip install pathspec"
)
class Checker:
"""
并行检查与修复模块运行检查工具如pylintmypyblack并收集错误
支持自动调用LLM生成修复补丁
并行检查与修复模块运行检查工具默认 black并收集错误
支持自动调用 LLM 生成修复补丁
"""
def __init__(
@ -32,14 +44,21 @@ class Checker:
Args:
output_dir: 项目输出目录用于查找代码文件和保存检查结果
check_tools: 检查工具列表默认为 ["pylint", "mypy", "black"]
code_generator: CodeGenerator实例用于调用LLM如果为None则创建新实例
api_key: OpenAI API密钥用于LLM调用如果code_generator为None
base_url: API基础URL如果code_generator为None
model: 使用的模型如果code_generator为None
check_tools: 检查工具列表默认为 ["black"]若传入多个工具仅使用第一个
code_generator: CodeGenerator 实例用于调用 LLM
api_key, base_url, model: 用于创建 CodeGenerator code_generator None
"""
self.output_dir = Path(output_dir)
self.check_tools = check_tools or ["pylint", "mypy", "black"]
# 处理检查工具:默认 black若传入多个则取第一个并警告
if check_tools is None:
self.check_tools = ["black"]
else:
if len(check_tools) > 1:
logger.warning(
f"检测到多个检查工具 {check_tools},将只使用第一个:{check_tools[0]}"
)
self.check_tools = [check_tools[0]] if check_tools else ["black"]
if code_generator:
self.code_generator = code_generator
@ -52,45 +71,127 @@ class Checker:
)
self.results_file = self.output_dir / "check_results.json"
logger.info(f"Checker初始化完成输出目录: {self.output_dir}")
logger.info(f"Checker 初始化完成,输出目录: {self.output_dir},检查工具: {self.check_tools}")
def _load_gitignore_patterns(self) -> Optional[Any]:
"""
加载 .gitignore 文件中的模式返回一个可用于匹配的函数或对象
若文件不存在或解析失败返回 None
"""
gitignore_path = self.output_dir / ".gitignore"
if not gitignore_path.exists():
return None
try:
with open(gitignore_path, "r", encoding="utf-8") as f:
lines = f.readlines()
except Exception as e:
logger.warning(f"读取 .gitignore 失败: {e}")
return None
if HAS_PATHSPEC:
# 使用 pathspec 精确解析
try:
spec = PathSpec.from_lines(GitWildMatchPattern, lines)
return spec
except Exception as e:
logger.warning(f"解析 .gitignore 失败,将使用简单匹配: {e}")
return None
else:
# 回退到简单通配符匹配(忽略空行、注释,不支持 ** 和否定模式)
patterns = []
for line in lines:
line = line.strip()
if not line or line.startswith("#"):
continue
# 移除末尾的注释(# 后面的内容)
if "#" in line:
line = line.split("#", 1)[0].strip()
if line:
patterns.append(line)
return patterns
def _is_ignored_by_gitignore(self, rel_path: str, gitignore_matcher) -> bool:
"""
判断相对路径是否被 .gitignore 忽略
gitignore_matcher 可以是 PathSpec 对象或简单模式列表
"""
if gitignore_matcher is None:
return False
# 将路径转换为 POSIX 风格(使用 / 分隔符)
rel_path = rel_path.replace(os.sep, "/")
if HAS_PATHSPEC and isinstance(gitignore_matcher, PathSpec):
return gitignore_matcher.match_file(rel_path)
elif isinstance(gitignore_matcher, list):
# 简单匹配:对于每个模式,如果模式以 / 结尾,则匹配目录;否则匹配文件
for pattern in gitignore_matcher:
# 处理目录模式(以 / 结尾)
if pattern.endswith("/"):
# 检查路径是否以该目录开头
if rel_path.startswith(pattern.rstrip("/") + "/") or rel_path == pattern.rstrip("/"):
return True
else:
# 文件/通配符模式,使用 fnmatch
if fnmatch.fnmatch(rel_path, pattern):
return True
return False
def _filter_files_by_gitignore(self, files: List[Path]) -> List[Path]:
"""
根据 .gitignore 和硬编码规则 .git/过滤文件列表
"""
gitignore_matcher = self._load_gitignore_patterns()
filtered = []
for file_path in files:
try:
# 计算相对于输出目录的路径
rel_path = file_path.relative_to(self.output_dir).as_posix()
except ValueError:
# 如果文件不在输出目录下(例如绝对路径),则保留(不过滤)
logger.warning(f"文件 {file_path} 不在输出目录 {self.output_dir} 下,将保留")
filtered.append(file_path)
continue
# 硬编码忽略 .git 目录
if rel_path.startswith(".git/") or rel_path == ".git":
logger.debug(f"忽略 .git 目录下的文件: {rel_path}")
continue
# 检查 .gitignore
if self._is_ignored_by_gitignore(rel_path, gitignore_matcher):
logger.debug(f"忽略 .gitignore 中的文件: {rel_path}")
continue
filtered.append(file_path)
return filtered
def run_check(self, tool: str, file_path: Path) -> Dict[str, Any]:
"""
运行单个检查工具并返回结果
Args:
tool: 检查工具名称 'pylint', 'mypy', 'black'
tool: 检查工具名称 'black'
file_path: 要检查的文件路径
Returns:
Dict包含工具名返回码stdoutstderr和错误信息
Dict 包含工具名返回码stdoutstderr 和错误信息
"""
logger.debug(f"运行检查工具: {tool} 在文件: {file_path}")
# 构建命令,根据工具不同调整
if tool == "pylint":
if tool == "black":
cmd = f"black --check --diff {file_path}"
elif tool == "pylint":
cmd = f"pylint {file_path} --output-format=json"
elif tool == "mypy":
cmd = f"mypy {file_path} --show-error-codes --no-error-summary"
elif tool == "black":
cmd = f"black --check --diff {file_path}"
else:
# 默认直接运行工具
cmd = f"{tool} {file_path}"
# 检查命令是否危险
dangerous, reason = is_dangerous_command(cmd)
if dangerous:
logger.warning(f"检查命令可能危险,跳过: {cmd}, 原因: {reason}")
return {
"tool": tool,
"file": str(file_path),
"returncode": -1,
"stdout": "",
"stderr": f"危险命令被阻止: {reason}",
"errors": [],
}
try:
result = subprocess.run(
cmd,
@ -98,7 +199,7 @@ class Checker:
cwd=self.output_dir,
capture_output=True,
text=True,
timeout=60, # 1分钟超时
timeout=60, # 1 分钟超时
)
# 解析错误信息
@ -106,7 +207,7 @@ class Checker:
if result.stderr:
errors.append(result.stderr.strip())
if result.stdout:
# 对于pylint的JSON输出可以进一步解析
# 对于 pylint JSON 输出,可以进一步解析
if tool == "pylint" and result.returncode != 0:
try:
pylint_errors = json.loads(result.stdout)
@ -147,25 +248,27 @@ class Checker:
def run_parallel_checks(self, files: Optional[List[Path]] = None) -> List[Dict[str, Any]]:
"""
并行运行所有检查工具在指定文件上
并行运行检查工具在指定文件上仅使用配置的第一个工具
Args:
files: 要检查的文件路径列表如果为None则检查输出目录下所有.py文件
files: 要检查的文件路径列表如果为 None 则自动查找输出目录下所有 .py 文件排除 .gitignore 中的
Returns:
检查结果列表每个元素为run_check返回的字典
检查结果列表
"""
if files is None:
# 递归查找所有.py文件
# 递归查找所有 .py 文件
files = list(self.output_dir.rglob("*.py"))
logger.info(f"开始并行检查,文件数: {len(files)}, 工具数: {len(self.check_tools)}")
# 过滤 .gitignore 中的文件
files = self._filter_files_by_gitignore(files)
# 只使用第一个工具(已在 __init__ 中保证 self.check_tools 只有一个元素)
tool = self.check_tools[0]
logger.info(f"开始并行检查,文件数: {len(files)},工具: {tool}")
all_results = []
with ThreadPoolExecutor(max_workers=min(4, len(self.check_tools) * len(files))) as executor:
futures = []
for tool in self.check_tools:
for file_path in files:
futures.append(executor.submit(self.run_check, tool, file_path))
with ThreadPoolExecutor(max_workers=min(4, len(files))) as executor:
futures = [executor.submit(self.run_check, tool, file_path) for file_path in files]
for future in as_completed(futures):
try:
@ -180,7 +283,7 @@ class Checker:
return all_results
def save_results(self, results: List[Dict[str, Any]]) -> None:
"""保存检查结果到JSON文件"""
"""保存检查结果到 JSON 文件"""
try:
with open(self.results_file, "w", encoding="utf-8") as f:
json.dump(results, f, indent=2, ensure_ascii=False)
@ -193,7 +296,7 @@ class Checker:
从检查结果中收集所有错误
Args:
results: 检查结果列表如果为None则从文件加载
results: 检查结果列表如果为 None 则从文件加载
Returns:
错误列表每个错误包含文件工具和错误信息
@ -225,11 +328,11 @@ class Checker:
def auto_fix(self, errors: List[Dict[str, Any]], context_files: Optional[List[str]] = None) -> bool:
"""
自动调用LLM生成修复补丁并应用
自动调用 LLM 生成修复补丁并应用
Args:
errors: 错误列表来自collect_errors
context_files: 上下文文件路径列表用于LLM生成修复
errors: 错误列表来自 collect_errors
context_files: 上下文文件路径列表用于 LLM 生成修复
Returns:
bool: 修复是否成功至少修复了一个错误
@ -240,16 +343,16 @@ class Checker:
logger.info(f"开始自动修复 {len(errors)} 个错误")
# 准备上下文:包括README、design.json和相关代码文件
# 准备上下文:包括 README、design.json 和相关代码文件
context_content = []
# 添加README如果存在
# 添加 README如果存在
readme_path = self.output_dir / "README.md"
if readme_path.exists():
with open(readme_path, "r", encoding="utf-8") as f:
context_content.append(f"### 项目 README ###\n{f.read()}\n")
# 添加design.json如果存在
# 添加 design.json如果存在
design_path = self.output_dir / "design.json"
if design_path.exists():
with open(design_path, "r", encoding="utf-8") as f:
@ -272,11 +375,11 @@ class Checker:
full_context = "\n".join(context_content)
# 调用LLM生成修复
# 调用 LLM 生成修复
system_prompt = (
"你是一个专业的编程助手,擅长修复代码错误。根据提供的上下文(包括项目README、设计文件、相关代码和检查错误"
"生成修复补丁代码。返回严格的JSON对象包含两个字段\n"
"- patches: 数组,每个元素是一个对象,包含'file'(文件路径)和'code'(修复后的完整代码或差异)\n"
"你是一个专业的编程助手,擅长修复代码错误。根据提供的上下文(包括项目 README、设计文件、相关代码和检查错误"
"生成修复补丁代码。返回严格的 JSON 对象,包含两个字段:\n"
"- patches: 数组,每个元素是一个对象,包含 'file'(文件路径)和 'code'(修复后的完整代码或差异)\n"
"- description: 简短的中文修复描述\n"
"注意:只修复提到的错误,保持代码风格一致。"
)
@ -286,7 +389,7 @@ class Checker:
result = self.code_generator._call_llm(system_prompt, user_prompt, temperature=0.1)
patches = result.get("patches", [])
description = result.get("description", "无描述")
logger.info(f"LLM生成修复补丁: {description}, 补丁数: {len(patches)}")
logger.info(f"LLM 生成修复补丁: {description}, 补丁数: {len(patches)}")
# 应用补丁
success_count = 0
@ -310,7 +413,7 @@ class Checker:
logger.info(f"自动修复完成,成功修复 {success_count}/{len(patches)} 个补丁")
return success_count > 0
except Exception as e:
logger.error(f"调用LLM生成修复失败: {e}")
logger.error(f"调用 LLM 生成修复失败: {e}")
return False
def run_full_check_and_fix(self, max_retries: int = 3) -> bool:

View File

@ -1,12 +1,12 @@
#!/usr/bin/env python3
"""
LLM 代码生成工具的命令行接口
支持 initenhancefix 种操作模式使用 typer 构建 CLI
支持 initenhancefixcheck 种操作模式使用 typer 构建 CLI
"""
import sys
from pathlib import Path
from typing import Optional
import sys
import typer
from rich.console import Console
@ -19,6 +19,19 @@ app = typer.Typer(help="基于LLM的自动化代码生成与维护工具")
console = Console()
def init_logging(output_dir: Path, log_file: Optional[str] = None, command_name: str = "cli") -> str:
"""初始化日志配置到logs/目录"""
log_dir = output_dir / "logs"
log_dir.mkdir(parents=True, exist_ok=True)
if log_file is None:
log_file = str(log_dir / f"{command_name}.log")
logger.remove() # 移除默认handler
logger.add(sys.stderr, level="WARNING") # 控制台输出WARNING及以上
logger.add(log_file, rotation="10 MB", level="DEBUG") # 文件记录DEBUG
logger.info(f"日志已初始化到: {log_file}")
return log_file
@app.command()
def init(
readme: Path = typer.Argument(..., exists=True, file_okay=True, dir_okay=False, help="README.md 文件路径"),
@ -28,21 +41,25 @@ def init(
model: str = typer.Option("deepseek-reasoner", "--model", "-m", help="使用的模型"),
log_file: Optional[str] = typer.Option(None, "--log", help="日志文件路径"),
):
"""
初始化项目根据 README.md 自动生成完整的代码
"""
"""初始化项目:根据 README.md 自动生成完整的代码。"""
if output_dir is None:
output_dir = Path.cwd()
# 初始化日志配置
log_file_path = init_logging(output_dir, log_file, command_name="init")
# 处理致命错误检查README文件存在性已由typer处理其他错误在try块中捕获
try:
generator = CodeGenerator(
api_key=api_key,
base_url=base_url,
model=model,
output_dir=str(output_dir),
log_file=log_file,
log_file=log_file_path,
)
generator.run(readme)
# 调用core.CodeGenerator.run并显示最终统计信息假设从日志或生成器状态获取
console.print("[green]生成完成。成功处理文件,详情请查看日志。[/green]")
except Exception as e:
logger.error(f"初始化失败: {e}")
raise typer.Exit(code=1)
@ -57,12 +74,19 @@ def enhance(
model: str = typer.Option("deepseek-reasoner", "--model", "-m", help="使用的模型"),
log_file: Optional[str] = typer.Option(None, "--log", help="日志文件路径"),
):
"""
增强项目根据需求工单添加新功能
"""
"""增强项目:根据需求工单添加新功能。"""
if output_dir is None:
output_dir = Path.cwd()
# 初始化日志配置
log_file_path = init_logging(output_dir, log_file, command_name="enhance")
# 处理致命错误检查design.json是否存在
design_path = output_dir / "design.json"
if not design_path.exists():
logger.error(f"design.json 不存在于 {output_dir},请先运行 init 命令初始化项目。")
raise typer.Exit(code=1)
# 读取工单文件
try:
with open(issue_file, "r", encoding="utf-8") as f:
@ -71,31 +95,19 @@ def enhance(
logger.error(f"读取工单文件失败: {e}")
raise typer.Exit(code=1)
# 检查 design.json 是否存在
design_path = output_dir / "design.json"
if not design_path.exists():
logger.error(f"design.json 不存在于 {output_dir},请先运行 init 命令初始化项目。")
raise typer.Exit(code=1)
try:
generator = CodeGenerator(
api_key=api_key,
base_url=base_url,
model=model,
output_dir=str(output_dir),
log_file=log_file,
log_file=log_file_path,
)
# 简化增强逻辑:基于工单内容调用 LLM 生成代码变更
logger.info(f"处理增强工单: {issue_file}")
console.print(f"[yellow]注意:增强功能为简化实现,基于工单内容生成变更。工单内容预览: {issue_content[:100]}...[/yellow]")
# 实际应用中,这里应解析工单并调用 generator 或类似方法生成代码
# 示例:生成一个占位文件或调用检查器
checker = Checker(output_dir=output_dir, code_generator=generator)
success = checker.run_full_check_and_fix()
success = generator.process_issue(issue_content, issue_type="enhance")
if not success:
logger.error("增强过程中检查失败")
logger.error("增强处理失败")
raise typer.Exit(code=1)
console.print("[green]增强处理完成,请检查生成的代码和日志。[/green]")
console.print("[green]增强处理完成。成功处理文件,详情请查看日志。[/green]")
except Exception as e:
logger.error(f"增强失败: {e}")
raise typer.Exit(code=1)
@ -110,12 +122,19 @@ def fix(
model: str = typer.Option("deepseek-reasoner", "--model", "-m", help="使用的模型"),
log_file: Optional[str] = typer.Option(None, "--log", help="日志文件路径"),
):
"""
修复项目根据Bug工单自动修复 Bug
"""
"""修复项目根据Bug工单自动修复 Bug。"""
if output_dir is None:
output_dir = Path.cwd()
# 初始化日志配置
log_file_path = init_logging(output_dir, log_file, command_name="fix")
# 处理致命错误检查design.json是否存在
design_path = output_dir / "design.json"
if not design_path.exists():
logger.error(f"design.json 不存在于 {output_dir},请确保项目已初始化。")
raise typer.Exit(code=1)
# 读取工单文件
try:
with open(issue_file, "r", encoding="utf-8") as f:
@ -124,11 +143,39 @@ def fix(
logger.error(f"读取工单文件失败: {e}")
raise typer.Exit(code=1)
# 检查 design.json 是否存在
design_path = output_dir / "design.json"
if not design_path.exists():
logger.error(f"design.json 不存在于 {output_dir},请确保项目已初始化。")
try:
generator = CodeGenerator(
api_key=api_key,
base_url=base_url,
model=model,
output_dir=str(output_dir),
log_file=log_file_path,
)
success = generator.process_issue(issue_content, issue_type="fix")
if not success:
logger.error("修复处理失败")
raise typer.Exit(code=1)
console.print("[green]修复处理完成。成功处理文件,详情请查看日志。[/green]")
except Exception as e:
logger.error(f"修复失败: {e}")
raise typer.Exit(code=1)
@app.command()
def check(
output_dir: Optional[Path] = typer.Option(None, "--output", "-o", help="项目根目录,默认为当前目录"),
api_key: Optional[str] = typer.Option(None, "--api-key", envvar="DEEPSEEK_APIKEY", help="API密钥"),
base_url: str = typer.Option("https://api.deepseek.com", "--base-url", help="API基础URL"),
model: str = typer.Option("deepseek-reasoner", "--model", "-m", help="使用的模型"),
log_file: Optional[str] = typer.Option(None, "--log", help="日志文件路径"),
max_retries: int = typer.Option(3, "--max-retries", help="最大修复重试次数"),
):
"""运行代码检查和自动修复(不依赖于工单)"""
if output_dir is None:
output_dir = Path.cwd()
# 初始化日志配置
log_file_path = init_logging(output_dir, log_file, command_name="check")
try:
generator = CodeGenerator(
@ -136,19 +183,16 @@ def fix(
base_url=base_url,
model=model,
output_dir=str(output_dir),
log_file=log_file,
log_file=log_file_path,
)
# 简化修复逻辑:基于工单内容调用检查器进行修复
logger.info(f"处理Bug工单: {issue_file}")
console.print(f"[yellow]注意:修复功能为简化实现,基于工单内容调用检查器。工单内容预览: {issue_content[:100]}...[/yellow]")
checker = Checker(output_dir=output_dir, code_generator=generator)
success = checker.run_full_check_and_fix()
success = checker.run_full_check_and_fix(max_retries=max_retries)
if not success:
logger.error("修复过程中检查失败")
logger.error("检查修复失败")
raise typer.Exit(code=1)
console.print("[green]修复处理完成,请检查修复后的代码和日志。[/green]")
console.print("[green]检查与修复完成。详情请查看日志。[/green]")
except Exception as e:
logger.error(f"修复失败: {e}")
logger.error(f"检查失败: {e}")
raise typer.Exit(code=1)

View File

@ -45,6 +45,7 @@ class CodeGenerator:
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
self.state_file = self.output_dir / ".llm_generator_state.json"
self.console = Console() # 添加console实例用于rich打印
# 配置日志
if log_file is None:
@ -103,9 +104,11 @@ class CodeGenerator:
except json.JSONDecodeError as e:
logger.error(f"JSON解析失败: {e}")
self.console.print(f"[bold red]❌ JSON解析失败: {e}[/bold red]")
raise ValueError(f"LLM返回的不是有效JSON: {content[:200]}")
except Exception as e:
logger.error(f"LLM调用失败: {e}")
self.console.print(f"[bold red]❌ LLM调用失败: {e}[/bold red]")
raise
def parse_readme(self, readme_path: Path) -> str:
@ -120,6 +123,7 @@ class CodeGenerator:
return content
except Exception as e:
logger.error(f"读取README失败: {e}")
self.console.print(f"[bold red]❌ 读取README失败: {e}[/bold red]")
raise
def generate_design_json(self) -> DesignModel:
@ -140,7 +144,7 @@ class CodeGenerator:
# 写入design.json文件
design_path = self.output_dir / "design.json"
with open(design_path, "w", encoding="utf-8") as f:
json.dump(design.dict(), f, indent=2, ensure_ascii=False)
json.dump(design.model_dump(), f, indent=2, ensure_ascii=False)
logger.info(f"已生成design.json: {design_path}")
return design
@ -156,6 +160,7 @@ class CodeGenerator:
return self.state
except Exception as e:
logger.error(f"加载状态失败: {e}")
self.console.print(f"[bold red]❌ 加载状态失败: {e}[/bold red]")
return None
return None
@ -170,7 +175,7 @@ class CodeGenerator:
readme_path=self.readme_content[:100] if self.readme_content else ""
)
with open(self.state_file, "w", encoding="utf-8") as f:
json.dump(state.dict(), f, indent=2, ensure_ascii=False)
json.dump(state.model_dump(), f, indent=2, ensure_ascii=False)
logger.debug(f"状态已保存: {self.state_file}")
def get_project_structure(self) -> Tuple[List[str], Dict[str, List[str]]]:
@ -199,52 +204,91 @@ class CodeGenerator:
file_path: str,
prompt_instruction: str,
dependency_files: List[str],
existing_content: Optional[str] = None,
) -> Tuple[str, str, List[str]]:
"""
生成单个文件返回 (代码, 描述, 命令列表)
Args:
file_path: 目标文件路径
prompt_instruction: 生成指令
dependency_files: 依赖文件列表用于上下文
existing_content: 文件现有内容若为修改模式
"""
# 读取依赖文件内容
# 收集上下文内容
context_content = []
if self.readme_content:
context_content.append(f"### 项目 README ###\n{self.readme_content}\n")
# 添加design.json上下文
# 添加 design.json 上下文
design_path = self.output_dir / "design.json"
if design_path.exists():
try:
with open(design_path, "r", encoding="utf-8") as f:
design_content = f.read()
context_content.append(f"### 设计文件: design.json ###\n{design_content}\n")
except Exception as e:
logger.error(f"读取design.json失败: {e}")
self.console.print(f"[bold red]❌ 读取design.json失败: {e}[/bold red]")
# 如果design.json读取失败可能无法继续但保持上下文为空或部分
# 添加依赖文件内容(仅读取存在的文件)
for dep in dependency_files:
dep_path = Path(dep)
if not dep_path.exists():
# 尝试相对于当前目录或输出目录查找
alt_path = self.output_dir / dep
if alt_path.exists():
dep_path = alt_path
else:
raise FileNotFoundError(f"依赖文件不存在: {dep}")
logger.warning(f"依赖文件不存在,已跳过: {dep}")
self.console.print(f"[yellow]⚠ 依赖文件不存在,已跳过: {dep}[/yellow]")
continue
try:
with open(dep_path, "r", encoding="utf-8") as f:
content = f.read()
context_content.append(f"### 文件: {dep_path.name} (路径: {dep}) ###\n{content}\n")
except Exception as e:
logger.error(f"读取依赖文件 {dep} 失败: {e}")
self.console.print(f"[bold red]❌ 读取依赖文件 {dep} 失败: {e}[/bold red]")
# 跳过此依赖文件
# 如果有现有内容,也加入上下文
if existing_content is not None:
context_content.append(f"### 当前文件内容 ({file_path}) ###\n{existing_content}\n")
full_context = "\n".join(context_content)
# 根据是否有现有内容调整系统提示
if existing_content is not None:
system_prompt = (
"你是一个专业的编程助手。根据用户指令和提供的上下文文件,**修改**现有的代码文件。"
"返回严格的 JSON 对象,包含三个字段:\n"
"- code: (string) 修改后的完整代码\n"
"- description: (string) 简短的中文修改描述\n"
"- commands: (array of string) 修改此文件后需要执行的操作系统命令列表(如编译、安装依赖等),若无则返回空数组"
)
else:
system_prompt = (
"你是一个专业的编程助手。根据用户指令和提供的上下文文件,生成完整的代码。"
"返回严格的JSON对象包含三个字段\n"
"返回严格的 JSON 对象,包含三个字段:\n"
"- code: (string) 生成的完整代码\n"
"- description: (string) 简短的中文功能描述\n"
"- commands: (array of string) 生成此文件后需要执行的操作系统命令列表(如编译、安装依赖等),若无则返回空数组"
)
user_prompt = f"{prompt_instruction}\n\n参考文件上下文:\n{full_context}"
try:
result = self._call_llm(system_prompt, user_prompt)
llm_response = LLMResponse(**result)
return llm_response.code, llm_response.description, llm_response.commands
except Exception as e:
logger.error(f"生成文件 {file_path} 时调用LLM失败: {e}")
self.console.print(f"[bold red]❌ 生成文件 {file_path} 时调用LLM失败: {e}[/bold red]")
# 返回默认值以便继续
return "# 生成失败,请检查日志", "生成失败,发生错误", []
def execute_command(self, cmd: str, cwd: Optional[Path] = None) -> bool:
"""
@ -256,6 +300,7 @@ class CodeGenerator:
dangerous, reason = is_dangerous_command(cmd)
if dangerous:
logger.error(f"危险命令被阻止: {cmd},原因: {reason}")
self.console.print(f"[bold red]❌ 危险命令被阻止: {cmd},原因: {reason}[/bold red]")
return False
logger.info(f"执行命令: {cmd}")
@ -275,52 +320,85 @@ class CodeGenerator:
logger.warning(f"stderr: {result.stderr[:500]}")
if result.returncode != 0:
logger.error(f"命令执行失败,返回码: {result.returncode}")
self.console.print(f"[bold red]❌ 命令执行失败,返回码: {result.returncode}[/bold red]")
return False
return True
except subprocess.TimeoutExpired:
logger.error(f"命令执行超时: {cmd}")
self.console.print(f"[bold red]❌ 命令执行超时: {cmd}[/bold red]")
return False
except Exception as e:
logger.error(f"命令执行失败: {e}")
self.console.print(f"[bold red]❌ 命令执行失败: {e}[/bold red]")
return False
def run(self, readme_path: Path):
"""
主执行流程支持设计层生成和断点续写
"""
console = Console()
logger.info("=" * 50)
logger.info("开始代码生成流程")
logger.info(f"README: {readme_path}")
logger.info(f"输出目录: {self.output_dir}")
# 解析README
console.print("[bold yellow]🔍 正在解析README...[/bold yellow]")
self.console.print("[bold yellow]🔍 正在解析README...[/bold yellow]")
try:
self.readme_content = self.parse_readme(readme_path)
except Exception as e:
logger.error(f"解析README失败无法继续: {e}")
self.console.print(f"[bold red]❌ 解析README失败无法继续: {e}[/bold red]")
return # 致命错误,退出
# 加载状态
state = self.load_state()
if state:
console.print(f"[green]✅ 检测到断点状态,从文件索引 {state.current_file_index} 继续[/green]")
self.console.print(f"[green]✅ 检测到断点状态,从文件索引 {state.current_file_index} 继续[/green]")
self.state = state
# 从状态恢复设计假设design.json已存在
design_path = self.output_dir / "design.json"
if design_path.exists():
try:
with open(design_path, "r", encoding="utf-8") as f:
design_data = json.load(f)
self.design = DesignModel(**design_data)
else:
console.print("[bold yellow]⚠ design.json不存在重新生成...[/bold yellow]")
except Exception as e:
logger.error(f"加载design.json失败: {e}")
self.console.print(f"[bold red]❌ 加载design.json失败: {e}[/bold red]")
self.console.print("[bold yellow]⚠ design.json损坏重新生成...[/bold yellow]")
try:
self.design = self.generate_design_json()
except Exception as e2:
logger.error(f"重新生成design.json失败: {e2}")
self.console.print(f"[bold red]❌ 重新生成design.json失败: {e2}[/bold red]")
return
else:
console.print("[bold yellow]📋 正在生成设计文件...[/bold yellow]")
self.console.print("[bold yellow]⚠ design.json不存在重新生成...[/bold yellow]")
try:
self.design = self.generate_design_json()
except Exception as e:
logger.error(f"生成design.json失败: {e}")
self.console.print(f"[bold red]❌ 生成design.json失败: {e}[/bold red]")
return
else:
self.console.print("[bold yellow]📋 正在生成设计文件...[/bold yellow]")
try:
self.design = self.generate_design_json()
self.state = None
except Exception as e:
logger.error(f"生成design.json失败: {e}")
self.console.print(f"[bold red]❌ 生成design.json失败: {e}[/bold red]")
return
# 获取项目结构
console.print("[bold yellow]📋 正在分析项目结构...[/bold yellow]")
self.console.print("[bold yellow]📋 正在分析项目结构...[/bold yellow]")
try:
files, dependencies = self.get_project_structure()
console.print(f"[green]✅ 解析完成,共 {len(files)} 个文件待生成[/green]")
except Exception as e:
logger.error(f"获取项目结构失败: {e}")
self.console.print(f"[bold red]❌ 获取项目结构失败: {e}[/bold red]")
return
self.console.print(f"[green]✅ 解析完成,共 {len(files)} 个文件待生成[/green]")
# 断点续写:确定起始索引
start_index = self.state.current_file_index if self.state else 0
@ -332,7 +410,7 @@ class CodeGenerator:
TextColumn("[progress.description]{task.description}"),
BarColumn(),
TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
console=console,
console=self.console,
) as progress:
self.progress = progress
total_task = progress.add_task("[cyan]整体进度...", total=len(files))
@ -354,10 +432,16 @@ class CodeGenerator:
# 写入文件
output_path = self.output_dir / file
output_path.parent.mkdir(parents=True, exist_ok=True)
try:
with open(output_path, "w", encoding="utf-8") as f:
f.write(code)
logger.info(f"已写入: {output_path}")
generated_files.append(file)
except Exception as e:
logger.error(f"写入文件 {file} 失败: {e}")
self.console.print(f"[bold red]❌ 写入文件 {file} 失败: {e}[/bold red]")
# 跳过命令执行
commands = []
# 执行命令
for cmd in commands:
@ -368,9 +452,10 @@ class CodeGenerator:
except Exception as e:
logger.error(f"处理文件 {file} 失败: {e}")
# 保存状态以便断点续写
self.console.print(f"[bold red]❌ 处理文件 {file} 时发生错误: {e}[/bold red]")
# 不抛出异常,继续执行下一个文件
# 保存状态
self.save_state(idx, generated_files, dependencies)
raise
finally:
progress.remove_task(file_task)
progress.update(total_task, advance=1)
@ -380,5 +465,230 @@ class CodeGenerator:
logger.success("所有文件处理完成!")
# 清理状态文件
if self.state_file.exists():
try:
self.state_file.unlink()
logger.info("状态文件已清理")
except Exception as e:
logger.error(f"清理状态文件失败: {e}")
self.console.print(f"[bold red]❌ 清理状态文件失败: {e}[/bold red]")
def process_issue(self, issue_content: str, issue_type: str) -> bool:
"""
处理需求增强或 Bug 修复工单
Args:
issue_content: 工单文件内容文本
issue_type: 'enhance' 'fix'
Returns:
bool: 处理是否成功
"""
logger.info(f"开始处理 {issue_type} 工单")
self.console.print(f"[bold yellow]📋 正在分析 {issue_type} 工单...[/bold yellow]")
# 加载现有 design.json
design_path = self.output_dir / "design.json"
if not design_path.exists():
logger.error(f"design.json 不存在于 {self.output_dir},请先运行 init 命令初始化项目。")
self.console.print(f"[bold red]❌ design.json 不存在于 {self.output_dir},请先运行 init 命令初始化项目。[/bold red]")
return False
try:
with open(design_path, "r", encoding="utf-8") as f:
design_data = json.load(f)
self.design = DesignModel(**design_data)
except Exception as e:
logger.error(f"加载design.json失败: {e}")
self.console.print(f"[bold red]❌ 加载design.json失败: {e}[/bold red]")
return False
# 加载 README 内容(如果存在)
readme_path = self.output_dir / "README.md"
if readme_path.exists():
try:
with open(readme_path, "r", encoding="utf-8") as f:
self.readme_content = f.read()
except Exception as e:
logger.error(f"读取README.md失败: {e}")
self.console.print(f"[bold red]❌ 读取README.md失败: {e}[/bold red]")
self.readme_content = ""
else:
self.readme_content = ""
# 步骤1: 分析工单,生成变更计划
try:
change_plan = self._analyze_issue(issue_content, issue_type)
except Exception as e:
logger.error(f"分析工单失败: {e}")
self.console.print(f"[bold red]❌ 分析工单失败: {e}[/bold red]")
return False
if not change_plan:
logger.error("无法生成变更计划")
self.console.print(f"[bold red]❌ 无法生成变更计划[/bold red]")
return False
affected_files = change_plan.get("affected_files", [])
if not affected_files:
logger.warning("工单分析结果未指定任何受影响文件")
self.console.print(f"[yellow]⚠ 工单分析结果未指定任何受影响文件[/yellow]")
return True # 无变更
self.console.print(f"[green]✅ 分析完成,将处理 {len(affected_files)} 个文件[/green]")
# 步骤2: 逐个处理文件
generated_files = []
for file_info in affected_files:
file_path = file_info["path"]
action = file_info.get("action", "modify") # modify 或 create
description = file_info.get("description", "")
dependencies = file_info.get("dependencies", [])
logger.info(f"处理文件: {file_path} (操作: {action})")
# 读取现有内容(如果是修改)
existing = None
full_path = self.output_dir / file_path
if action == "modify" and full_path.exists():
try:
with open(full_path, "r", encoding="utf-8") as f:
existing = f.read()
except Exception as e:
logger.error(f"读取文件 {file_path} 失败: {e}")
self.console.print(f"[bold red]❌ 读取文件 {file_path} 失败: {e}[/bold red]")
existing = None # 如果读取失败,按新文件处理
elif action == "create" and full_path.exists():
logger.warning(f"文件 {file_path} 已存在,将覆盖")
self.console.print(f"[yellow]⚠ 文件 {file_path} 已存在,将覆盖[/yellow]")
existing = None # 创建模式,即使存在也按新文件处理
# 收集实际存在的依赖文件
dep_paths = []
missing_deps = []
for dep in dependencies:
dep_full = self.output_dir / dep
if dep_full.exists():
dep_paths.append(dep)
else:
missing_deps.append(dep)
if missing_deps:
logger.warning(f"依赖文件缺失,将不使用这些文件作为上下文: {missing_deps}")
self.console.print(f"[yellow]⚠ 依赖文件缺失,将不使用这些文件作为上下文: {missing_deps}[/yellow]")
# 构建生成指令
instruction = f"请根据工单描述{'修改' if action == 'modify' else '生成'}文件 '{file_path}'\n"
instruction += f"工单内容摘要:{description}\n"
if action == "modify":
instruction += "请在现有代码基础上进行修改,保持原有风格和功能不变。"
else:
instruction += "请生成完整的代码文件。"
# 调用 generate_file
try:
code, desc, commands = self.generate_file(
file_path,
instruction,
dep_paths,
existing_content=existing,
)
logger.info(f"生成完成: {file_path} - {desc}")
# 写入文件
full_path.parent.mkdir(parents=True, exist_ok=True)
try:
with open(full_path, "w", encoding="utf-8") as f:
f.write(code)
logger.info(f"已写入: {full_path}")
generated_files.append(file_path)
except Exception as e:
logger.error(f"写入文件 {file_path} 失败: {e}")
self.console.print(f"[bold red]❌ 写入文件 {file_path} 失败: {e}[/bold red]")
# 跳过命令执行
commands = []
# 执行关联命令
for cmd in commands:
logger.info(f"准备执行命令: {cmd}")
success = self.execute_command(cmd, cwd=self.output_dir)
if not success:
logger.warning(f"命令执行失败,但继续处理: {cmd}")
except Exception as e:
logger.error(f"处理文件 {file_path} 失败: {e}")
self.console.print(f"[bold red]❌ 处理文件 {file_path} 失败: {e}[/bold red]")
# 继续处理其他文件
continue
# 步骤3: 更新 design.json
if generated_files:
try:
self._update_design(generated_files, change_plan.get("design_updates", {}))
self.console.print("[green]✅ design.json 已更新[/green]")
except Exception as e:
logger.error(f"更新design.json失败: {e}")
self.console.print(f"[bold red]❌ 更新design.json失败: {e}[/bold red]")
self.console.print(f"[bold green]🎉 {issue_type} 处理完成![/bold green]")
return True
def _analyze_issue(self, issue_content: str, issue_type: str) -> Dict[str, Any]:
"""
调用 LLM 分析工单返回结构化变更计划
"""
system_prompt = (
"你是一个软件架构师。根据用户提供的工单内容和现有项目设计文件design.json"
"分析需要进行的代码变更。返回严格的 JSON 对象,包含以下字段:\n"
"- affected_files: 数组,每个元素为一个对象,包含:\n"
" - path: 文件路径(相对于项目根目录)\n"
" - action: 'create''modify'\n"
" - description: 对此文件变更的简短描述\n"
" - dependencies: 此文件可能依赖的其他文件路径列表(可选)\n"
"- design_updates: 对象,描述对 design.json 的更新,例如新增的文件条目、修改的摘要等(可选)\n"
"注意:仅返回 JSON不要包含其他文本。"
)
# 将现有 design.json 内容作为上下文的一部分
design_str = json.dumps(self.design.dict(), indent=2, ensure_ascii=False)
user_prompt = (
f"工单类型: {issue_type}\n"
f"工单内容:\n{issue_content}\n\n"
f"现有设计文件 (design.json):\n{design_str}"
)
result = self._call_llm(system_prompt, user_prompt, temperature=0.2)
return result
def _update_design(self, generated_files: List[str], design_updates: Dict[str, Any]):
"""
根据生成的变更更新 design.json
注意假设 self.design.files List[dict] FileModel直接操作字典
"""
updated = False
# 处理新增文件
for file_path in generated_files:
# 检查文件是否已在 design.files 中
exists = any(f.get("path") == file_path for f in self.design.files)
if not exists:
# 创建新文件条目(字典)
new_file = {
"path": file_path,
"summary": design_updates.get(file_path, {}).get("summary", "自动生成的新文件"),
"dependencies": design_updates.get(file_path, {}).get("dependencies", []),
"functions": [],
"classes": [],
}
self.design.files.append(new_file)
updated = True
logger.info(f"已将新文件 {file_path} 添加到 design.json")
# 如果 design_updates 中提供了具体的更新信息,可以进一步处理(例如修改现有文件的摘要)
# 这里可根据实际需求扩展,当前仅处理新增文件
if updated:
# 保存更新后的 design.json
design_path = self.output_dir / "design.json"
with open(design_path, "w", encoding="utf-8") as f:
json.dump(self.design.dict(), f, indent=2, ensure_ascii=False)
logger.info("design.json 已更新")

View File

@ -1,6 +1,7 @@
from typing import Tuple
import os
from pathlib import Path
from loguru import logger # 添加导入
# 危险命令列表,可配置
DANGEROUS_COMMANDS = ["rm", "sudo", "chmod", "dd", "mkfs", "> /dev/sda", "format"]
@ -84,3 +85,38 @@ def safe_join(base_path: str, *paths: str) -> str:
if not full_path.startswith(base_abs):
raise ValueError(f"路径拼接越界: {full_path} 不在 {base_abs}")
return full_path
def log_error(error: Exception, message: str = None, is_fatal: bool = False) -> None:
"""
记录和显示错误
Args:
error: 异常对象
message: 可选的自定义错误消息如果为 None 则使用 error 的字符串表示
is_fatal: 指示错误是否致命
Returns:
None
"""
if message is None:
message = str(error)
log_msg = f"错误: {message}"
if is_fatal:
logger.critical(log_msg)
else:
logger.error(log_msg)
def is_fatal_error(error: Exception) -> bool:
"""
判断错误类型是否为致命错误
Args:
error: 异常对象
Returns:
bool: 如果是致命错误返回 True否则返回 False
"""
fatal_exceptions = (SystemExit, KeyboardInterrupt, MemoryError, OSError)
return isinstance(error, fatal_exceptions)

View File

@ -36,7 +36,6 @@ def checker(fake_code_generator, tmp_path):
output_dir.mkdir()
return Checker(
output_dir=output_dir,
check_tools=["pylint", "mypy", "black"],
code_generator=fake_code_generator,
)
@ -48,7 +47,7 @@ class TestChecker:
def test_init(self, checker, tmp_path):
"""测试初始化方法"""
assert checker.output_dir == tmp_path / "test_output"
assert checker.check_tools == ["pylint", "mypy", "black"]
assert checker.check_tools == ["black"]
assert checker.results_file == checker.output_dir / "check_results.json"
assert isinstance(checker.code_generator, FakeCodeGenerator)
@ -56,11 +55,6 @@ class TestChecker:
"""测试 run_check 方法成功运行检查工具"""
file_path = Path("test_file.py")
# 模拟危险检测返回安全
def fake_dangerous(cmd):
return (False, "")
monkeypatch.setattr("src.llm_codegen.checker.is_dangerous_command", fake_dangerous)
# 模拟 subprocess.run 返回成功
def fake_run(cmd, *args, **kwargs):
return subprocess.CompletedProcess(
@ -78,29 +72,10 @@ class TestChecker:
assert result["returncode"] == 0
assert result["errors"] == []
def test_run_check_dangerous_command(self, checker, monkeypatch):
"""测试 run_check 处理危险命令"""
file_path = Path("test_file.py")
# 替换 is_dangerous_command 返回危险
def fake_dangerous(cmd):
return (True, "包含危险关键词 'rm'")
monkeypatch.setattr("src.llm_codegen.checker.is_dangerous_command", fake_dangerous)
result = checker.run_check("rm -rf /", file_path)
assert result["returncode"] == -1
assert "危险命令被阻止" in result["stderr"]
def test_run_check_timeout(self, checker, monkeypatch):
"""测试 run_check 处理超时"""
file_path = Path("test_file.py")
# 模拟危险检测返回安全
def fake_dangerous(cmd):
return (False, "")
monkeypatch.setattr("src.llm_codegen.checker.is_dangerous_command", fake_dangerous)
# 让 subprocess.run 抛出超时异常
def fake_run_timeout(*args, **kwargs):
raise subprocess.TimeoutExpired(cmd="pylint", timeout=60)
@ -131,9 +106,9 @@ class TestChecker:
results = checker.run_parallel_checks([test_file])
assert len(results) == 3
assert len(results) == 1
assert all(r["returncode"] == 0 for r in results)
assert call_count == 3
assert call_count == 1
def test_save_results(self, checker, tmp_path):
"""测试保存检查结果"""

View File

@ -11,21 +11,18 @@ runner = CliRunner()
def test_cli_init_success():
"""测试 init 命令成功执行"""
from src.llm_codegen.cli import app # 假设从项目根目录运行测试
from src.llm_codegen.cli import app
# 模拟 CodeGenerator 和其方法,避免实际调用 API
with patch('src.llm_codegen.cli.CodeGenerator') as mock_generator:
mock_instance = Mock()
mock_instance.run = Mock()
mock_generator.return_value = mock_instance
# 创建一个虚拟的 README 文件用于测试
test_readme = Path("test_readme.md")
test_readme.write_text("# Test Project\n\nA test project for CLI.")
result = runner.invoke(app, ["init", str(test_readme), "--output", "./test_output"])
# 清理
test_readme.unlink()
assert result.exit_code == 0
@ -34,61 +31,64 @@ def test_cli_init_success():
mock_instance.run.assert_called_once_with(test_readme)
def test_cli_init_failure_no_readme():
"""测试 init 命令当 README 不存在时失败"""
from src.llm_codegen.cli import app
result = runner.invoke(app, ["init", "nonexistent.md"])
assert result.exit_code != 0 # 应该退出码非零
assert result.exit_code != 0
def test_cli_enhance_success():
"""测试 enhance 命令成功执行(简化版,基于工单"""
"""测试 enhance 命令成功执行(基于新实现,使用 process_issue"""
from src.llm_codegen.cli import app
# 模拟依赖文件和环境
# 模拟 CodeGenerator 和 Path.exists仅使 design.json 存在判断通过)
with patch('src.llm_codegen.cli.CodeGenerator') as mock_generator, \
patch('src.llm_codegen.cli.Checker') as mock_checker, \
patch('pathlib.Path.exists') as mock_exists:
mock_exists.return_value = True # 模拟 design.json 存在
mock_instance = Mock()
mock_instance.run_full_check_and_fix = Mock(return_value=True)
mock_checker.return_value = mock_instance
mock_generator.return_value = Mock()
# 使 design.json 存在检查返回 True
mock_exists.return_value = True
# 创建一个虚拟的工单文件
mock_instance = Mock()
mock_instance.process_issue = Mock(return_value=True)
mock_generator.return_value = mock_instance
# 创建临时工单文件
test_issue = Path("test_feature.issue")
test_issue.write_text("name: Add feature\ndescription: Test feature")
issue_content = "name: Add feature\ndescription: Test feature"
test_issue.write_text(issue_content)
result = runner.invoke(app, ["enhance", str(test_issue), "--output", "./test_output"])
# 清理
test_issue.unlink()
assert result.exit_code == 0
assert "增强失败" not in result.stdout
mock_checker.assert_called_once()
mock_instance.run_full_check_and_fix.assert_called_once()
mock_generator.assert_called_once()
mock_instance.process_issue.assert_called_once_with(issue_content, issue_type="enhance")
def test_cli_fix_success():
"""测试 fix 命令成功执行(简化版,基于工单"""
"""测试 fix 命令成功执行(基于新实现,使用 process_issue"""
from src.llm_codegen.cli import app
with patch('src.llm_codegen.cli.CodeGenerator') as mock_generator, \
patch('src.llm_codegen.cli.Checker') as mock_checker, \
patch('pathlib.Path.exists') as mock_exists:
mock_exists.return_value = True
mock_instance = Mock()
mock_instance.run_full_check_and_fix = Mock(return_value=True)
mock_checker.return_value = mock_instance
mock_generator.return_value = Mock()
mock_instance.process_issue = Mock(return_value=True)
mock_generator.return_value = mock_instance
test_issue = Path("test_bug.issue")
test_issue.write_text("name: Fix bug\ndescription: Test bug")
issue_content = "name: Fix bug\ndescription: Test bug"
test_issue.write_text(issue_content)
result = runner.invoke(app, ["fix", str(test_issue), "--output", "./test_output"])
@ -96,8 +96,8 @@ def test_cli_fix_success():
assert result.exit_code == 0
assert "修复失败" not in result.stdout
mock_checker.assert_called_once()
mock_instance.run_full_check_and_fix.assert_called_once()
mock_generator.assert_called_once()
mock_instance.process_issue.assert_called_once_with(issue_content, issue_type="fix")
def test_cli_help():
@ -108,7 +108,6 @@ def test_cli_help():
assert result.exit_code == 0
assert "基于LLM的自动化代码生成与维护工具" in result.stdout
# 测试子命令帮助
result = runner.invoke(app, ["init", "--help"])
assert result.exit_code == 0
assert "README.md 文件路径" in result.stdout
@ -119,7 +118,7 @@ def test_cli_enhance_no_design():
from src.llm_codegen.cli import app
with patch('pathlib.Path.exists') as mock_exists:
mock_exists.return_value = False # 模拟 design.json 不存在
mock_exists.return_value = False # design.json 不存在
test_issue = Path("test_feature.issue")
test_issue.write_text("name: Test")
@ -147,6 +146,27 @@ def test_cli_fix_no_design():
assert result.exit_code != 0
def test_cli_check_success():
"""测试 check 命令成功执行"""
from src.llm_codegen.cli import app
with patch('src.llm_codegen.cli.CodeGenerator') as mock_generator, \
patch('src.llm_codegen.cli.Checker') as mock_checker:
mock_gen_instance = Mock()
mock_generator.return_value = mock_gen_instance
mock_check_instance = Mock()
mock_check_instance.run_full_check_and_fix = Mock(return_value=True)
mock_checker.return_value = mock_check_instance
result = runner.invoke(app, ["check", "--output", "./test_output"])
assert result.exit_code == 0
assert "检查与修复完成" in result.stdout
mock_checker.assert_called_once()
mock_check_instance.run_full_check_and_fix.assert_called_once_with(max_retries=3)
if __name__ == "__main__":
pytest.main([__file__])