def str_to_sqltype(expr):
import re
import sqlalchemy.types as sqltypes
norm_expr = expr.lower()
if norm_expr.startswith('integer'):
match_result = re.match(r'integer\((\d+)\)', norm_expr)
if match_result is not None:
return sqltypes.BIGINT() if int(match_result.group(1)) > 11 else sqltypes.INTEGER()
return sqltypes.BIGINT()
if norm_expr == 'decimal':
return sqltypes.DECIMAL()
if norm_expr == 'date':
return sqltypes.DATETIME()
if norm_expr == 'bool' or norm_expr == 'boolean':
return sqltypes.BOOLEAN()
if norm_expr.startswith('string'):
match_result = re.match(r'string\((\d+)\)', norm_expr)
if match_result is not None:
maxlen = int(match_result.group(1))
return sqltypes.VARCHAR(maxlen) if maxlen < 65536 else sqltypes.TEXT
return sqltypes.TEXT()
raise RuntimeError("Unsupported data type [" + expr + "]")
python类BOOLEAN的实例源码
def sqltype_to_stdtype(sqltype):
import sqlalchemy.types as sqltypes
if isinstance(sqltype, (sqltypes.VARCHAR, sqltypes.CHAR, sqltypes.TEXT, sqltypes.Enum, sqltypes.String)):
return _STRING_TYPE
if isinstance(sqltype, (sqltypes.DATETIME, sqltypes.DATE, sqltypes.TIME, sqltypes.TIMESTAMP)):
return _DATE_TYPE
if isinstance(sqltype, (sqltypes.INTEGER, sqltypes.BIGINT, sqltypes.SMALLINT, sqltypes.Integer)):
return _INTEGER_TYPE
if isinstance(sqltype, (sqltypes.REAL, sqltypes.DECIMAL, sqltypes.NUMERIC, sqltypes.FLOAT)):
return _DECIMAL_TYPE
if isinstance(sqltype, sqltypes.BOOLEAN):
return _BOOLEAN_TYPE
def stdtype_to_sqltype(stdtype):
import sqlalchemy.types as sqltypes
if isinstance(stdtype, stdtypes.StringType):
return sqltypes.VARCHAR(length=stdtype.max_len) if 0 < stdtype.max_len < 65536 else sqltypes.TEXT()
if isinstance(stdtype, stdtypes.BoolType):
return sqltypes.BOOLEAN()
if isinstance(stdtype, stdtypes.DateType):
return sqltypes.DATE() if stdtype.only_date else sqltypes.TIMESTAMP()
if isinstance(stdtype, stdtypes.IntegerType):
return sqltypes.BIGINT() if stdtype.length > 11 else sqltypes.INTEGER()
if isinstance(stdtype, stdtypes.DecimalType):
return sqltypes.DECIMAL()
if isinstance(stdtype, stdtypes.ArrayType):
return sqltypes.ARRAY(item_type=stdtype.item_type)
