mbcp/litedoc/docstring/parser.py

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"""
Google docstring parser for Python.
"""
from typing import Optional
from litedoc.docstring.docstring import Docstring
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class Parser:
...
class GoogleDocstringParser(Parser):
_tokens = {
"Args" : "args",
"Arguments" : "args",
"参数" : "args",
"Return" : "return",
"Returns" : "return",
"返回" : "return",
"Attribute" : "attribute",
"Attributes" : "attribute",
"属性" : "attribute",
"Raises" : "raises",
"Raise" : "raises",
"引发" : "raises",
"Example" : "example",
"Examples" : "example",
"示例" : "example",
"Yields" : "yields",
"Yield" : "yields",
"产出" : "yields",
"Requires" : "requires",
"Require" : "requires",
"需要" : "requires",
"FrontMatter": "front_matter",
"前言" : "front_matter",
}
def __init__(self, docstring: str, indent: int = 4):
self.lines = docstring.splitlines()
self.indent = indent
self.lineno = 0 # Current line number
self.char = 0 # Current character position
self.docstring = Docstring()
def read_line(self, move: bool = True) -> str:
"""
每次读取一行
Args:
move: 是否移动指针
Returns:
"""
if self.lineno >= len(self.lines):
return ""
line = self.lines[self.lineno]
if move:
self.lineno += 1
return line
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def match_token(self) -> Optional[str]:
"""
解析下一行的token
Returns:
"""
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for token in self._tokens:
line = self.read_line(move=False)
if line.strip().startswith(token):
self.lineno += 1
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return self._tokens[token]
return None
def parse_args(self):
"""
依次解析后面的参数行直到缩进小于等于当前行的缩进
"""
while line := self.match_next_line():
if ":" in line:
name, desc = line.split(":", 1)
self.docstring.add_arg(name.strip(), desc.strip())
else:
self.docstring.add_arg(line.strip())
def parse_return(self):
"""
解析返回值行
"""
if line := self.match_next_line():
self.docstring.add_return(line.strip())
def parse_raises(self):
"""
解析异常行
"""
while line := self.match_next_line():
if ":" in line:
name, desc = line.split(":", 1)
self.docstring.add_raise(name.strip(), desc.strip())
else:
self.docstring.add_raise(line.strip())
def parse_example(self):
"""
解析示例行
"""
while line := self.match_next_line():
if ":" in line:
name, desc = line.split(":", 1)
self.docstring.add_example(name.strip(), desc.strip())
else:
self.docstring.add_example(line.strip())
def parse_attrs(self):
"""
解析属性行
"""
while line := self.match_next_line():
if ":" in line:
name, desc = line.split(":", 1)
self.docstring.add_attrs(name.strip(), desc.strip())
else:
self.docstring.add_attrs(line.strip())
def match_next_line(self) -> Optional[str]:
"""
在一个子解析器中解析下一行直到缩进小于等于当前行的缩进
Returns:
"""
line = self.read_line(move=False)
if line.startswith(" " * self.indent):
self.lineno += 1
return line[self.indent:]
else:
return None
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def parse(self) -> Docstring:
"""
逐行解析直到遇到EOS
最开始未解析到的内容全部加入desc
Returns:
"""
add_desc = True
while self.lineno < len(self.lines):
token = self.match_token()
if token is None and add_desc:
self.docstring.add_desc(self.lines[self.lineno].strip())
if token is not None:
add_desc = False
match token:
case "args":
self.parse_args()
case "return":
self.parse_return()
case "attribute":
self.parse_attrs()
case "raises":
self.parse_raises()
case "example":
self.parse_example()
case _:
self.lineno += 1
return self.docstring
class NumpyDocstringParser(Parser):
...
class ReStructuredParser(Parser):
...
def parse(docstring: str, parser: str = "google", indent: int = 4) -> Docstring:
if parser == "google":
return GoogleDocstringParser(docstring, indent).parse()
else:
raise ValueError(f"Unknown parser: {parser}")