def _token_nud_star(self, token):
left = ast.identity()
if self._current_token() == 'rbracket':
right = ast.identity()
else:
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.value_projection(left, right)
def _token_nud_star(self, token):
left = ast.identity()
if self._current_token() == 'rbracket':
right = ast.identity()
else:
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.value_projection(left, right)
def _token_nud_lbracket(self, token):
if self._current_token() in ['number', 'colon']:
right = self._parse_index_expression()
# We could optimize this and remove the identity() node.
# We don't really need an index_expression node, we can
# just use emit an index node here if we're not dealing
# with a slice.
return self._project_if_slice(ast.identity(), right)
elif self._current_token() == 'star' and \
self._lookahead(1) == 'rbracket':
self._advance()
self._advance()
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.projection(ast.identity(), right)
else:
return self._parse_multi_select_list()
def _token_nud_lbracket(self, token):
if self._current_token() in ['number', 'colon']:
right = self._parse_index_expression()
# We could optimize this and remove the identity() node.
# We don't really need an index_expression node, we can
# just use emit an index node here if we're not dealing
# with a slice.
return self._project_if_slice(ast.identity(), right)
elif self._current_token() == 'star' and \
self._lookahead(1) == 'rbracket':
self._advance()
self._advance()
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.projection(ast.identity(), right)
else:
return self._parse_multi_select_list()
def _token_led_filter(self, left):
# Filters are projections.
condition = self._expression(0)
self._match('rbracket')
if self._current_token() == 'flatten':
right = ast.identity()
else:
right = self._parse_projection_rhs(self.BINDING_POWER['filter'])
return ast.filter_projection(left, right, condition)
def _token_led_filter(self, left):
# Filters are projections.
condition = self._expression(0)
self._match('rbracket')
if self._current_token() == 'flatten':
right = ast.identity()
else:
right = self._parse_projection_rhs(self.BINDING_POWER['filter'])
return ast.filter_projection(left, right, condition)
def _token_nud_lbracket(self, token):
if self._current_token() in ['number', 'colon']:
return self._parse_index_expression()
elif self._current_token() == 'star' and \
self._lookahead(1) == 'rbracket':
self._advance()
self._advance()
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.projection(ast.identity(), right)
else:
return self._parse_multi_select_list()
def _token_nud_lbracket(self, token):
if self._current_token() in ['number', 'colon']:
return self._parse_index_expression()
elif self._current_token() == 'star' and \
self._lookahead(1) == 'rbracket':
self._advance()
self._advance()
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.projection(ast.identity(), right)
else:
return self._parse_multi_select_list()
def _token_nud_lbracket(self, token):
if self._current_token() == 'number':
node = ast.index(self._lookahead_token(0)['value'])
self._advance()
self._match('rbracket')
return node
elif self._current_token() == 'star' and \
self._lookahead(1) == 'rbracket':
self._advance()
self._advance()
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.projection(ast.identity(), right)
else:
return self._parse_multi_select_list()
def _token_nud_lbracket(self, token):
if self._current_token() == 'number':
node = ast.index(self._lookahead_token(0)['value'])
self._advance()
self._match('rbracket')
return node
elif self._current_token() == 'star' and \
self._lookahead(1) == 'rbracket':
self._advance()
self._advance()
right = self._parse_projection_rhs(self.BINDING_POWER['star'])
return ast.projection(ast.identity(), right)
else:
return self._parse_multi_select_list()
def _parse_projection_rhs(self, binding_power):
# Parse the right hand side of the projection.
if self.BINDING_POWER[self._current_token()] < self._PROJECTION_STOP:
# BP of 10 are all the tokens that stop a projection.
right = ast.identity()
elif self._current_token() == 'lbracket':
right = self._expression(binding_power)
elif self._current_token() == 'filter':
right = self._expression(binding_power)
elif self._current_token() == 'dot':
self._match('dot')
right = self._parse_dot_rhs(binding_power)
else:
self._raise_parse_error_for_token(self._lookahead_token(0),
'syntax error')
return right
def _parse_projection_rhs(self, binding_power):
# Parse the right hand side of the projection.
if self.BINDING_POWER[self._current_token()] < 10:
# BP of 10 are all the tokens that stop a projection.
right = ast.identity()
elif self._current_token() == 'lbracket':
right = self._expression(binding_power)
elif self._current_token() == 'filter':
right = self._expression(binding_power)
elif self._current_token() == 'dot':
self._match('dot')
right = self._parse_dot_rhs(binding_power)
else:
t = self._lookahead_token(0)
lex_position = t['start']
actual_value = t['value']
actual_type = t['type']
raise exceptions.ParseError(lex_position, actual_value,
actual_type, 'syntax error')
return right
def _parse_projection_rhs(self, binding_power):
# Parse the right hand side of the projection.
if self.BINDING_POWER[self._current_token()] < 10:
# BP of 10 are all the tokens that stop a projection.
right = ast.identity()
elif self._current_token() == 'lbracket':
right = self._expression(binding_power)
elif self._current_token() == 'filter':
right = self._expression(binding_power)
elif self._current_token() == 'dot':
self._match('dot')
right = self._parse_dot_rhs(binding_power)
else:
t = self._lookahead_token(0)
lex_position = t['start']
actual_value = t['value']
actual_type = t['type']
raise exceptions.ParseError(lex_position, actual_value,
actual_type, 'syntax error')
return right
def _token_nud_flatten(self, token):
left = ast.flatten(ast.identity())
right = self._parse_projection_rhs(
self.BINDING_POWER['flatten'])
return ast.projection(left, right)
def _token_nud_filter(self, token):
return self._token_led_filter(ast.identity())
def _token_nud_flatten(self, token):
left = ast.flatten(ast.identity())
right = self._parse_projection_rhs(
self.BINDING_POWER['flatten'])
return ast.projection(left, right)
def _token_nud_filter(self, token):
return self._token_led_filter(ast.identity())
