[AI学习笔记]代码生成实战：DeepSeek AST解析深度解析与应用

class ASTBuilder:
    def __init__(self, language):
        self.language = language
        self.parser = self._initialize_parser()
    
    def build_ast(self, code):
        """从源代码构建AST"""
        tree = self.parser.parse(code)
        return self._convert_to_abstract_tree(tree)
    
    def _initialize_parser(self):
        """初始化语言特定的解析器"""
        if self.language == "python":
            return PythonParser()
        elif self.language == "javascript":
            return JavaScriptParser()
        else:
            raise ValueError(f"Unsupported language: {self.language}")
    
    def _convert_to_abstract_tree(self, concrete_tree):
        """将具体语法树转换为抽象语法树"""
        abstract_nodes = []
        for node in concrete_tree.nodes:
            if isinstance(node, (FunctionDef, ClassDef)):
                abstract_nodes.append(self._create_abstract_node(node))
        return abstract_nodes

class SemanticAnalyzer:
    def __init__(self, ast):
        self.ast = ast
        self.symbol_table = {}
        self.data_flow = []
    
    def analyze(self):
        """执行语义分析"""
        for node in self.ast:
            self._analyze_node(node)
        return {
            "symbol_table": self.symbol_table,
            "data_flow": self.data_flow
        }
    
    def _analyze_node(self, node):
        """分析单个节点的语义"""
        if node.type == "function":
            self.symbol_table[node.name] = {
                "type": "function",
                "parameters": node.parameters,
                "return_type": node.return_type
            }
        elif node.type == "variable":
            self.symbol_table[node.name] = {
                "type": "variable",
                "scope": node.scope
            }

# 创建虚拟环境
python -m venv deepseek-env
source deepseek-env/bin/activate

# 安装依赖
pip install torch==1.12.0
pip install tree-sitter==0.20.0
pip install transformers==4.20.0
pip install redis==4.1.0

from deepseek.parser import ASTBuilder

# 初始化Python语言的AST构建器
ast_builder = ASTBuilder(language="python")

# 构建示例代码的AST
sample_code = """
def fibonacci(n):
    a, b = 0, 1
    result = []
    for _ in range(n):
        result.append(a)
        a, b = b, a + b
    return result
"""

ast = ast_builder.build_ast(sample_code)
print("AST结构:", ast)

from deepseek.analyzer import SemanticAnalyzer

# 初始化语义分析器
analyzer = SemanticAnalyzer(ast)

# 执行语义分析
semantic_info = analyzer.analyze()
print("符号表:", semantic_info["symbol_table"])
print("数据流:", semantic_info["data_flow"])

from deepseek.generator import CodeGenerator

# 初始化代码生成器
generator = CodeGenerator(target_language="javascript")

# 生成JavaScript代码
js_code = generator.generate(semantic_info)
print("生成的JavaScript代码:")
print(js_code)

from deepseek.validator import CodeValidator

# 初始化代码验证器
validator = CodeValidator()

# 验证生成的JavaScript代码
validation_result = validator.validate(js_code)
print("验证结果:", validation_result)

# 部署示例
docker-compose up -d redis
python scripts/init_parsers.py
uvicorn deepseek.api:app --host 0.0.0.0 --port 8000

import unittest
from deepseek.generator import CodeGenerator

class TestCodeGenerator(unittest.TestCase):
    def setUp(self):
        self.generator = CodeGenerator(target_language="python")
    
    def test_fibonacci_generation(self):
        # 语义信息模拟
        semantic_info = {
            "symbol_table": {
                "fibonacci": {
                    "type": "function",
                    "parameters": ["n"],
                    "return_type": "list"
                }
            },
            "data_flow": [
                {"type": "variable", "name": "a", "scope": "function"},
                {"type": "variable", "name": "b", "scope": "function"}
            ]
        }
        
        # 生成代码
        code = self.generator.generate(semantic_info)
        
        # 验证结果
        self.assertIn("def fibonacci(n):", code)
        self.assertIn("return result", code)

def test_end_to_end():
    # 初始化组件
    ast_builder = ASTBuilder(language="python")
    analyzer = SemanticAnalyzer()
    generator = CodeGenerator(target_language="javascript")
    validator = CodeValidator()
    
    # 输入代码
    input_code = "def add(a, b): return a + b"
    
    # 完整流程测试
    ast = ast_builder.build_ast(input_code)
    semantic_info = analyzer.analyze(ast)
    js_code = generator.generate(semantic_info)
    validation = validator.validate(js_code)
    
    # 验证结果
    assert validation["success"] == True
    assert "function add(a, b) {" in js_code
    assert "return a + b;" in js_code