Python sqlalchemy.engine.default.replace() Examples
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code examples of sqlalchemy.engine.default.replace().
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Example #1
Source File: base.py From planespotter with MIT License | 5 votes |
def _get_column_info(self, name, type_, nullable, autoincrement, default, precision, scale, length): coltype = self.ischema_names.get(type_, None) kwargs = {} if coltype in (NUMERIC, DECIMAL): args = (precision, scale) elif coltype == FLOAT: args = (precision,) elif coltype in (CHAR, VARCHAR, UNICHAR, UNIVARCHAR, NCHAR, NVARCHAR): args = (length,) else: args = () if coltype: coltype = coltype(*args, **kwargs) # is this necessary # if is_array: # coltype = ARRAY(coltype) else: util.warn("Did not recognize type '%s' of column '%s'" % (type_, name)) coltype = sqltypes.NULLTYPE if default: default = default.replace("DEFAULT", "").strip() default = re.sub("^'(.*)'$", lambda m: m.group(1), default) else: default = None column_info = dict(name=name, type=coltype, nullable=nullable, default=default, autoincrement=autoincrement) return column_info
Example #2
Source File: base.py From pyRevit with GNU General Public License v3.0 | 5 votes |
def _get_column_info(self, name, type_, nullable, autoincrement, default, precision, scale, length): coltype = self.ischema_names.get(type_, None) kwargs = {} if coltype in (NUMERIC, DECIMAL): args = (precision, scale) elif coltype == FLOAT: args = (precision,) elif coltype in (CHAR, VARCHAR, UNICHAR, UNIVARCHAR, NCHAR, NVARCHAR): args = (length,) else: args = () if coltype: coltype = coltype(*args, **kwargs) # is this necessary # if is_array: # coltype = ARRAY(coltype) else: util.warn("Did not recognize type '%s' of column '%s'" % (type_, name)) coltype = sqltypes.NULLTYPE if default: default = default.replace("DEFAULT", "").strip() default = re.sub("^'(.*)'$", lambda m: m.group(1), default) else: default = None column_info = dict(name=name, type=coltype, nullable=nullable, default=default, autoincrement=autoincrement) return column_info
Example #3
Source File: base.py From jarvis with GNU General Public License v2.0 | 5 votes |
def _get_column_info(self, name, type_, nullable, autoincrement, default, precision, scale, length): coltype = self.ischema_names.get(type_, None) kwargs = {} if coltype in (NUMERIC, DECIMAL): args = (precision, scale) elif coltype == FLOAT: args = (precision,) elif coltype in (CHAR, VARCHAR, UNICHAR, UNIVARCHAR, NCHAR, NVARCHAR): args = (length,) else: args = () if coltype: coltype = coltype(*args, **kwargs) # is this necessary # if is_array: # coltype = ARRAY(coltype) else: util.warn("Did not recognize type '%s' of column '%s'" % (type_, name)) coltype = sqltypes.NULLTYPE if default: default = default.replace("DEFAULT", "").strip() default = re.sub("^'(.*)'$", lambda m: m.group(1), default) else: default = None column_info = dict(name=name, type=coltype, nullable=nullable, default=default, autoincrement=autoincrement) return column_info
Example #4
Source File: base.py From android_universal with MIT License | 5 votes |
def _get_column_info(self, name, type_, nullable, autoincrement, default, precision, scale, length): coltype = self.ischema_names.get(type_, None) kwargs = {} if coltype in (NUMERIC, DECIMAL): args = (precision, scale) elif coltype == FLOAT: args = (precision,) elif coltype in (CHAR, VARCHAR, UNICHAR, UNIVARCHAR, NCHAR, NVARCHAR): args = (length,) else: args = () if coltype: coltype = coltype(*args, **kwargs) # is this necessary # if is_array: # coltype = ARRAY(coltype) else: util.warn("Did not recognize type '%s' of column '%s'" % (type_, name)) coltype = sqltypes.NULLTYPE if default: default = default.replace("DEFAULT", "").strip() default = re.sub("^'(.*)'$", lambda m: m.group(1), default) else: default = None column_info = dict(name=name, type=coltype, nullable=nullable, default=default, autoincrement=autoincrement) return column_info
Example #5
Source File: base.py From sqlalchemy with MIT License | 4 votes |
def _get_column_info( self, name, type_, nullable, autoincrement, default, precision, scale, length, ): coltype = self.ischema_names.get(type_, None) kwargs = {} if coltype in (NUMERIC, DECIMAL): args = (precision, scale) elif coltype == FLOAT: args = (precision,) elif coltype in (CHAR, VARCHAR, UNICHAR, UNIVARCHAR, NCHAR, NVARCHAR): args = (length,) else: args = () if coltype: coltype = coltype(*args, **kwargs) # is this necessary # if is_array: # coltype = ARRAY(coltype) else: util.warn( "Did not recognize type '%s' of column '%s'" % (type_, name) ) coltype = sqltypes.NULLTYPE if default: default = default.replace("DEFAULT", "").strip() default = re.sub("^'(.*)'$", lambda m: m.group(1), default) else: default = None column_info = dict( name=name, type=coltype, nullable=nullable, default=default, autoincrement=autoincrement, ) return column_info