ply-rs
基于 Rust 原生内核的高性能现代 Python LALR(1) 词法与语法分析器生成器。
ply-rs 是经典项目 PLY 的现代继任者。它在保留纯 Python 灵活定义、正则语义与用户回调的前提下，将核心计算（词法分词、LALR 构表、LR 状态机解析）下沉至 Rust 原生层，大幅提升了执行性能与构表效率。
分发包名称为 ply-rs，在 Python 中直接 import ply_rs 即可使用。
核心特性
- 现代声明式 API：提供基于类和装饰器（
@token、@rule）的现代接口，定义清晰，语法与类型友好。 - 平滑生态兼容：完全兼容 PLY (
ply_rs.compat.ply) 与 SLY (ply_rs.compat.sly)，几乎零成本迁移。 - Rust 原生加速：词法扫描、LALR(1) 分析表生成和 LR 分析器状态机均基于 Rust 实现（通过 PyO3 绑定），消解大规模文法构表与解析开销。
- 严格保持 Python 正则语义：词法引擎优先使用 Rust 原生正则多模式匹配；对复杂或特殊的 Python 正则特性，自动回退到 Python
re匹配单规则，速度与兼容性兼得。 - 分析表冻结（Freeze）：支持将已计算好的分析表固化为只读快照（
frozen=True），避免重复构表与校验，显著提升执行吞吐。 - Python 原生语义动作：语法的归约动作、AST 构造以及错误恢复（
errok()、restart()）均直接在 Python 中编写与执行。
- 分层解耦：用户通过高层 Python API 声明文法规则，Python 适配层将结构化定义传递至 Rust 扩展模块
ply_rs._core_rs。 - 原生高速核心：Rust 负责词法分词切片、LALR(1) 分析表计算与 LR 状态机推进，数据通过原生内存高效流转。
- 按需双向协作：遇到复杂正则特性时，Rust 词法引擎按需单规则调用 Python
re；语法分析器在归约和捕获语法错误时，直接触发用户的 Python 语义动作与错误恢复。
快速上手
1. 安装
运行环境要求 Python 3.9+。
从 PyPI 安装：
pip install ply-rs
或者从源码构建安装（需本地安装 Rust 工具链）：
pip install maturin
maturin develop --release
2. Modern API 基础示例
以四则运算计算器为例（完整示例见 examples/calculator.py）：
from ply_rs import Lexer, Parser, token, rule
# 1. 定义词法分析器
class CalculatorLexer(Lexer):
ignore = " \t"
literals = {"(", ")"}
PLUS = r"\+"
TIMES = r"\*"
@token(r"\d+")
def NUMBER(self, tok):
tok.value = int(tok.value)
return tok
# 2. 定义语法分析器
class CalculatorParser(Parser):
tokens = CalculatorLexer.tokens
precedence = [
("left", ["PLUS"]),
("left", ["TIMES"]),
]
@rule("expr : expr PLUS expr")
def add(self, p):
return p[1] + p[3]
@rule("expr : expr TIMES expr")
def multiply(self, p):
return p[1] * p[3]
@rule("expr : '(' expr ')'")
def group(self, p):
return p[2]
@rule("expr : NUMBER")
def number(self, p):
return p[1]
# 3. 运行解析
lexer = CalculatorLexer()
parser = CalculatorParser()
result = parser.parse(lexer.tokenize("(2 + 3) * 4"))
print(result) # 输出 20
使用指南
1. 现代 API（Modern API）
词法规则与优先级
- 类属性直接定义简单正则，例如
PLUS = r"\+"。 - 需要转换值或附加逻辑时使用
@token(pattern, priority=N)装饰器。 - 优先级数值较大的规则先匹配；相同优先级按声明顺序匹配。
- 支持定义状态：
states = (("name", "inclusive"), ("other", "exclusive"))，并可通过ignore_<state>指定特定状态下的忽略字符。
语法规则与操作符优先级
- 规则定义支持
:或::=，例如@rule("expr : expr PLUS expr")。 - 多条规则可合并在同一个规则字符串中，以
|分隔。 - 操作符优先级列表格式为
precedence = [("left", ["PLUS", "MINUS"]), ("right", ["UMINUS"])]。
语义动作传参
- 代理模式（默认）：回调接收单个参数
p，通过p[1]索引或p.NUMBER符号名访问右部各符号值。 - 直接传值模式：声明
@rule(..., action_style="values")，语义动作函数将按形参直接接收右部展开的值（例如def add(self, left, op, right): return left + right）。
分析表冻结（Freeze）优化
当语法规则确定不再动态变更时，建议开启冻结模式：
# 方式一：类定义中声明
class MyParser(Parser):
frozen = True
...
# 方式二：实例化时指定或手动调用
parser = MyParser(frozen=True)
# 或 parser.freeze()
冻结后，分析器将生成完全独立的只读分析表快照，跳过后续调用时的动态修改监听与全量比对，执行速度更快。
2. 兼容 PLY 与 SLY
已有项目可直接替换导入路径平滑迁移：
兼容 PLY
将原先的 ply.lex 与 ply.yacc 替换为：
from ply_rs.compat.ply import lex, yacc
# 原有 t_* 规则、p_* 函数及 docstring 保持原样即可直接运行
lexer = lex.lex()
parser = yacc.yacc()
兼容 SLY
将原先的 sly 替换为：
from ply_rs.compat.sly import Lexer, Parser, _
class CalcLexer(Lexer):
...
class CalcParser(Parser):
@_("expr PLUS expr")
def expr(self, p):
return p.expr0 + p.expr1
支持 @_ 装饰器、属性代理访问及面向对象类继承。
3. 核心层底层控制（Core API）
如果需要构建定制语言工具链或获取分析诊断信息，可以直接调用核心层接口：
Grammar：编程式注册产生式、操作符优先级与开始符号。LRTable：生成 LALR(1) 分析表，支持检查conflicts与冲突项明细ConflictRecord。DiagnosticsFormatter：导出易读的文法分析报告与冲突诊断。LRParser与LexerEngine：底层的独立分析器引擎驱动。
from ply_rs import Grammar, LRTable, LRParser, LexerEngine
开源协议
本项目采用 MIT 许可证。
1 maintainer
Metadata
1 maintainer
Release files for ply-rs 0.1.0
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