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AQuery/engine/expr.py

72 lines
2.3 KiB

from engine.ast import ast_node
class expr(ast_node):
name='expr'
builtin_func_maps = {
'max': 'max',
'min': 'min',
'avg':'avg',
'sum':'sum',
'mins': 'mins',
'maxs': 'maxs'
}
binary_ops = {
'sub':'-',
'add':'+',
'mul':'*',
'div':'%',
'mod':'mod',
'and':'&',
'or':'|',
'gt':'>',
'lt':'<',
}
unary_ops = {
'neg' : '-',
'not' : '~'
}
def __init__(self, parent, node):
ast_node.__init__(self, parent, node, None)
def init(self, _):
from engine.projection import projection
parent = self.parent
self.isvector = parent.isvector if type(parent) is expr else False
if type(parent) in [projection, expr]:
self.datasource = parent.datasource
else:
self.datasource = self.context.datasource
self.udf_map = parent.context.udf_map
self.k9expr = ''
self.func_maps = {**self.udf_map, **self.builtin_func_maps}
def produce(self, node):
if type(node) is dict:
for key, val in node.items():
if key in self.func_maps:
self.k9expr += f"{self.func_maps[key]}("
# if type(val) in [dict, str]:
self.k9expr += expr(self, val).k9expr
self.k9expr += ')'
elif key in self.binary_ops:
l = expr(self, val[0]).k9expr
r = expr(self, val[1]).k9expr
self.k9expr += f'({l}{self.binary_ops[key]}{r})'
elif key in self.unary_ops:
self.k9expr += f'({expr(self, val).k9expr}{self.unary_ops[key]})'
else:
print(f'Undefined expr: {key}{val}')
elif type(node) is str:
p = self.parent
while type(p) is expr and not p.isvector:
p.isvector = True
p = p.parent
self.k9expr = self.datasource.parse_tablenames(node)
elif type(node) is bool:
self.k9expr = '1' if node else '0'
else:
self.k9expr = f'{node}'
def __str__(self):
return self.k9expr