text: import dataclasses
  import enum
  import typing
  
  import regex
  
  from amino.schema_parser import Schema, SchemaType
  
  whitespace_regex = regex.compile(r"[\s]+")
  name_regex = regex.compile(r"[A-Za-z_]+")
  parenthesis_open_regex = regex.compile(r"[(]+")
  parenthesis_close_regex = regex.compile(r"[)]+")
  int_literal_regex = regex.compile(r"[\d]+")
  string_literal_regex = regex.compile(r"'[^']*'")
  symbol_regex = regex.compile("[^a-zA-Z0-9\\s'\"]+")
  
  
  class TokenType(enum.Enum):
      whitespace = enum.auto()
      name = enum.auto()
      int_literal = enum.auto()
      string_literal = enum.auto()
      symbol = enum.auto()
      parenthesis_open = enum.auto()
      parenthesis_close = enum.auto()
  
  
  token_map = {
      parenthesis_open_regex: TokenType.parenthesis_open,
      parenthesis_close_regex: TokenType.parenthesis_close,
      whitespace_regex: TokenType.whitespace,
      int_literal_regex: TokenType.int_literal,
      symbol_regex: TokenType.symbol,
      string_literal_regex: TokenType.string_literal,
      name_regex: TokenType.name,
  }
  
  
  token_return_type_map = {
      parenthesis_open_regex: TokenType.parenthesis_open,
      parenthesis_close_regex: TokenType.parenthesis_close,
      whitespace_regex: TokenType.whitespace,
      int_literal_regex: TokenType.int_literal,
      symbol_regex: TokenType.symbol,
      string_literal_regex: TokenType.string_literal,
      name_regex: TokenType.name,
  }
  
  
  @dataclasses.dataclass
  class Token:
      value: str
      token_type: TokenType
      pos_start: int
      pos_end: int
  
  
  class PositionType(enum.Enum):
      prefix = enum.auto()
      infix = enum.auto()
      postfix = enum.auto()
  
  
  @dataclasses.dataclass
  class Keyword:
      name: str
      position_type: PositionType
      return_type: SchemaType
      arity: int
  
  
  @dataclasses.dataclass
  class Name:
      name: str
      return_type: SchemaType
  
  
  @dataclasses.dataclass
  class Paren:
      pass
  
  
  @dataclasses.dataclass
  class Symbol:
      token: str
      position_type: PositionType
      return_type: SchemaType
      arity: int
  
  
  @dataclasses.dataclass
  class Literal:
      value: str
      type: SchemaType
  
  
  @dataclasses.dataclass
  class LookupSymbol:
      token: dict[str, Symbol]
      position_type: dict[PositionType, Symbol]
  
  
  EQ = Symbol("=", PositionType.infix, SchemaType.bool, 2)
  GT = Symbol(">", PositionType.infix, SchemaType.bool, 2)
  LT = Symbol("<", PositionType.infix, SchemaType.bool, 2)
  GTE = Symbol(">=", PositionType.infix, SchemaType.bool, 2)
  LTE = Symbol("<=", PositionType.infix, SchemaType.bool, 2)
  
  
  def builtin_symbols() -> LookupSymbol:
      funcs = [
          EQ,
          GT,
          LT,
          GTE,
          LTE,
      ]
  
      func_types = {_t: [] for _t in PositionType}
      for f in funcs:
          func_types[f.position_type].append(f.token)
  
      return LookupSymbol({f.token: f for f in funcs}, func_types)
  
  
  @dataclasses.dataclass
  class LookupKeyword:
      name: dict[str, Keyword]
      position_type: dict[PositionType, Keyword]
  
      def get_type(self, name: str) -> Keyword:
          return self.name[name]
  
  
  AND = Keyword("and", PositionType.infix, SchemaType.bool, 2)
  OR = Keyword("or", PositionType.infix, SchemaType.bool, 2)
  NOT = Keyword("not", PositionType.prefix, SchemaType.bool, 1)
  
  
  def builtin_keywords() -> LookupKeyword:
      funcs = [
          AND,
          OR,
          NOT,
      ]
  
      func_types = {_t: [] for _t in PositionType}
      for f in funcs:
          func_types[f.position_type].append(f.name)
  
      return LookupKeyword({f.name: f for f in funcs}, func_types)
  
  
  @dataclasses.dataclass
  class NodeType:
      type: Keyword | Symbol | Paren
      arguments: list[Keyword | Symbol | Literal | Name | Paren]
      parent: typing.Optional["NodeType"]
  
  
  class Parser:
      def __init__(self, target, schema: Schema):
          self.original_target: str = target
          self.schema: Schema = schema
          self.pos: int = 0
          self.cur_pos_end: int | None = None
          self.tree = None
          self.cur_node = None
          self.token_stack = []
  
      def parse_all(self):
          while len(self.original_target[self.pos :]) > 0:
              token = self.next_token()
              match token:
                  case Token(token_type=TokenType.string_literal):
                      self.parse_literal(token, SchemaType.str)
                  case Token(token_type=TokenType.int_literal):
                      self.parse_literal(token, SchemaType.int)
                  case Token(token_type=TokenType.symbol):
                      self.parse_symbol(token)
                  case Token(token_type=TokenType.name):
                      self.parse_name(token)
                  case Token(token_type=TokenType.whitespace):
                      pass
  
              self.next()
  
          return self.tree
  
      def peek(self, pos: int):
          return self.next_token(pos, move=False)
  
      def next_token(self, pos: int | None = None, move=True) -> Token:
          pos = pos if pos else self.pos
  
          target = self.original_target[pos:]
          for pattern, token_type in token_map.items():
              match_obj = pattern.match(target)
              if match_obj is None:
                  continue
              value = match_obj.group(0)
              if move:
                  self.cur_pos_end = match_obj.end()
              token = Token(value, token_type, match_obj.start(), match_obj.end())
              if token.token_type is TokenType.whitespace:
                  self.next()
                  return self.next_token()
  
              return token
          else:
              raise Exception(f"Unexpected characters at {self.original_target[pos:]}")
  
      def next(self, next_pos: int | None = None):
  
          if self.cur_pos_end is not None:
  
              # if it's None, we've already advanced it in some other case
              next_pos = next_pos if next_pos else max(self.cur_pos_end, self.pos)
              self.pos = next_pos + 1
              self.cur_pos_end = None
  
      def parse_literal(self, token: Token, schema_type: SchemaType):
          el = Literal(token.value, schema_type)
          if self.tree is None:
              self.token_stack.append(el)
          elif self.tree:
              self.cur_node.arguments.append(el)
          return el
  
      def parse_symbol(self, token: Token) -> NodeType:
          lookup_symbols = builtin_symbols()
          symbol: Symbol = lookup_symbols.token[token.value]
          if self.tree is None:
              node = NodeType(symbol, [self.token_stack.pop()], parent=None)
              self.cur_node = node
              self.tree = node
          elif self.tree:
              pass
          return node
  
      def parse_name(self, token: Token):
          match token.value:
              case name if return_type := self.schema.get_type(name):
                  el = Name(name, return_type)
  
                  if self.tree is None:
                      self.token_stack.append(el)
                  elif self.tree:
                      self.cur_node.arguments.append(el)
  
              case name if keyword := builtin_keywords().get_type(name):
                  if self.tree is None:
                      node = NodeType(keyword, [self.token_stack.pop()], parent=None)
                      self.cur_node = node
                      self.tree = node
                  elif self.tree:
                      pass
              case _:
                  raise Exception(f"Unknown name {token.value}")
          return
  
      def expect(self, token_types: list[TokenType]) -> Token | None:
          token: Token = self.peek(self.cur_pos_end + 1)
          if token.token_type in token_types:
              return token
          return None
  