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104 lines
3.9 KiB
104 lines
3.9 KiB
from engine.ast import ast_node
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class expr(ast_node):
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name='expr'
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builtin_func_maps = {
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'max': 'max',
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'min': 'min',
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'avg': 'avg',
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'sum': 'sum',
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'mod':'mod',
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'mins': ['mins', 'minsw'],
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'maxs': ['maxs', 'maxsw'],
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'avgs': ['avgs', 'avgsw'],
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'sums': ['sums', 'sumsw'],
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}
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binary_ops = {
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'sub':'-',
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'add':'+',
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'mul':'*',
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'div':'%',
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'and':'&',
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'or':'|',
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'gt':'>',
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'lt':'<',
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}
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compound_ops = {
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'ge' : [2, lambda x: f'~({x[0]}<{x[1]})'],
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'le' : [2, lambda x: f'~({x[0]}>{x[1]})'],
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}
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unary_ops = {
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'neg' : '-',
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'not' : '~'
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}
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coumpound_generating_ops = ['mod', 'mins', 'maxs', 'sums'] + \
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list( binary_ops.keys()) + list(compound_ops.keys()) + list(unary_ops.keys() )
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def __init__(self, parent, node):
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ast_node.__init__(self, parent, node, None)
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def init(self, _):
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from engine.projection import projection
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parent = self.parent
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self.isvector = parent.isvector if type(parent) is expr else False
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self.is_compound = parent.is_compound if type(parent) is expr else False
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if type(parent) in [projection, expr]:
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self.datasource = parent.datasource
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else:
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self.datasource = self.context.datasource
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self.udf_map = parent.context.udf_map
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self.k9expr = ''
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self.func_maps = {**self.udf_map, **self.builtin_func_maps}
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def produce(self, node):
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if type(node) is dict:
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for key, val in node.items():
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if key in self.func_maps:
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# if type(val) in [dict, str]:
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if type(val) is list and len(val) > 1:
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k9func = self.func_maps[key]
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k9func = k9func[len(val) - 1] if type(k9func) is list else k9func
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self.k9expr += f"{k9func}["
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for i, p in enumerate(val):
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self.k9expr += expr(self, p).k9expr + (';'if i<len(val)-1 else '')
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else:
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funcname = self.func_maps[key]
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funcname = funcname[0] if type(funcname) is list else funcname
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self.k9expr += f"{funcname}["
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self.k9expr += expr(self, val).k9expr
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self.k9expr += ']'
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elif key in self.binary_ops:
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l = expr(self, val[0]).k9expr
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r = expr(self, val[1]).k9expr
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self.k9expr += f'({l}{self.binary_ops[key]}{r})'
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elif key in self.compound_ops:
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x = []
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if type(val) is list:
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for v in val:
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x.append(expr(self, v).k9expr)
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self.k9expr = self.compound_ops[key][1](x)
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elif key in self.unary_ops:
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self.k9expr += f'({expr(self, val).k9expr}{self.unary_ops[key]})'
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else:
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print(f'Undefined expr: {key}{val}')
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if key in self.coumpound_generating_ops and not self.is_compound:
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self.is_compound = True
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p = self.parent
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while type(p) is expr and not p.is_compound:
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p.is_compound = True
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p = p.parent
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elif type(node) is str:
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p = self.parent
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while type(p) is expr and not p.isvector:
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p.isvector = True
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p = p.parent
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self.k9expr = self.datasource.parse_tablenames(node)
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elif type(node) is bool:
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self.k9expr = '1' if node else '0'
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else:
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self.k9expr = f'{node}'
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def __str__(self):
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return self.k9expr |