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from sqlglot.executor.env import ENV
class Context:
"""
Execution context for sql expressions.
Context is used to hold relevant data tables which can then be queried on with eval.
References to columns can either be scalar or vectors. When set_row is used, column references
evaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient
evaluation of aggregation functions.
"""
def __init__(self, tables, env=None):
"""
Args
tables (dict): table_name -> Table, representing the scope of the current execution context
env (Optional[dict]): dictionary of functions within the execution context
"""
self.tables = tables
self.range_readers = {name: table.range_reader for name, table in self.tables.items()}
self.row_readers = {name: table.reader for name, table in tables.items()}
self.env = {**(env or {}), "scope": self.row_readers}
def eval(self, code):
return eval(code, ENV, self.env)
def eval_tuple(self, codes):
return tuple(self.eval(code) for code in codes)
def __iter__(self):
return self.table_iter(list(self.tables)[0])
def table_iter(self, table):
self.env["scope"] = self.row_readers
for reader in self.tables[table]:
yield reader, self
def sort(self, table, key):
table = self.tables[table]
def sort_key(row):
table.reader.row = row
return self.eval_tuple(key)
table.rows.sort(key=sort_key)
def set_row(self, table, row):
self.row_readers[table].row = row
self.env["scope"] = self.row_readers
def set_index(self, table, index):
self.row_readers[table].row = self.tables[table].rows[index]
self.env["scope"] = self.row_readers
def set_range(self, table, start, end):
self.range_readers[table].range = range(start, end)
self.env["scope"] = self.range_readers
def __getitem__(self, table):
return self.env["scope"][table]
def __contains__(self, table):
return table in self.tables
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