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AQuery/engine/scan.py

107 lines
4.7 KiB

from xmlrpc.client import Boolean
from engine.ast import ColRef, TableInfo, View, ast_node
from engine.utils import base62uuid
from engine.expr import expr
class scan(ast_node):
name = 'scan'
class filter(ast_node):
name = 'filter'
def __init__(self, parent: "ast_node", node, materialize = False, context = None):
self.materialize = materialize
super().__init__(parent, node, context)
def init(self, _):
self.datasource = self.context.datasource
self.view = View(self.context, self.datasource)
self.value = None
def spawn(self, node):
# TODO: deal with subqueries
return super().spawn(node)
def __materialize__(self):
if self.materialize:
cols = [] if self.datasource is None else self.datasource.columns
self.output = TableInfo('tn'+base62uuid(6), cols, self.context)
self.output.construct()
if type(self.value) is View: # cond filtered on tables.
self.emit(f'{self.value.name}:&{self.value.name}')
for o, c in zip(self.output.columns,self.value.table.columns):
self.emit(f'{o.cname}:{c.cname}[{self.value.name}]')
elif self.value is not None: # cond is scalar
tmpVar = 't'+base62uuid(7)
self.emit(f'{tmpVar}:{self.value}')
for o, c in zip(self.output.columns, self.datasource.columns):
self.emit(f'{o.cname}:$[{tmpVar};{c.cname};()]')
def consume(self, node):
# TODO: optimizations after converting expr to cnf
if type(node) is bool and node and self.materialize:
self.output = self.context.datasource if node else None
self.value = '1' if node else '0'
else:
if type(node) is dict:
def short_circuit(op, idx, inv = True):
v = filter(self, node[op][idx]).value
inv_filter = lambda x: not x if inv else x
if type(v) is bool and inv_filter(v):
self.value = inv_filter(v)
self.__materialize__()
return None
return v
def binary(l, r, _ty = '&'):
if type(l) is bool:
self.value = r
elif type(r) is bool:
self.value = l
elif type(l) is View:
if type(r) is View:
self.emit(f"{l.name}: {l.name} {_ty} {r.name if type(r) is View else f'({r})'}")
self.value = l
elif type(l) is str:
if type(r) is str:
self.value = f'({l}){_ty}({r})'
else:
self.emit(f'{r.name}:{r.name} {_ty} ({l})')
self.value = r
if 'and' in node:
l = short_circuit('and', 0)
if l is not None:
r = short_circuit('and', 1)
if r is not None:
binary(l, r)
elif 'or' in node:
l = short_circuit('or', 0, False)
if l is not None:
r = short_circuit('or', 1, False)
if r is not None:
binary(l, r, '|')
elif 'not' in node:
v = filter(self, node['not']).value
if type(v) is bool:
self.value = not v
self.__materialize__()
elif type(v) is View:
if len(v.table.columns) > 0:
all_rows = View(self.context, v.table)
self.emit(f'{all_rows.name}:(#{v.table.columns[0].cname})#1')
self.emit(f'{v.name}:{all_rows.name}-{v.name}')
self.value = v
else:
self.value = '~(' + v + ')'
# TODO: arithmetic ops connecting logical ops.
else:
e = expr(self, node)
if e.isvector:
v = View(self.context, self.datasource)
v.construct()
self.emit(f'{v.name}:{e.cexpr}')
self.value = v
else:
self.value = e.cexpr
self.__materialize__()
print(node)