package bdb import ( "strings" "github.com/lbryio/sqlboiler/strmangle" ) // Column holds information about a database column. // Types are Go types, converted by TranslateColumnType. type Column struct { Name string Type string DBType string Default string Nullable bool Unique bool Validated bool // Postgres only extension bits // ArrType is the underlying data type of the Postgres // ARRAY type. See here: // https://www.postgresql.org/docs/9.1/static/infoschema-element-types.html ArrType *string UDTName string // MySQL only bits // Used to get full type, ex: // tinyint(1) instead of tinyint // Used for "tinyint-as-bool" flag FullDBType string // MS SQL only bits // Used to indicate that the value // for this column is auto generated by database on insert (i.e. - timestamp (old) or rowversion (new)) AutoGenerated bool } // ColumnNames of the columns. func ColumnNames(cols []Column) []string { names := make([]string, len(cols)) for i, c := range cols { names[i] = c.Name } return names } // ColumnDBTypes of the columns. func ColumnDBTypes(cols []Column) map[string]string { types := map[string]string{} for _, c := range cols { types[strmangle.TitleCase(c.Name)] = c.DBType } return types } // FilterColumnsByAuto generates the list of columns that have autogenerated values func FilterColumnsByAuto(auto bool, columns []Column) []Column { var cols []Column for _, c := range columns { if (auto && c.AutoGenerated) || (!auto && !c.AutoGenerated) { cols = append(cols, c) } } return cols } // FilterColumnsByDefault generates the list of columns that have default values func FilterColumnsByDefault(defaults bool, columns []Column) []Column { var cols []Column for _, c := range columns { if (defaults && len(c.Default) != 0) || (!defaults && len(c.Default) == 0) { cols = append(cols, c) } } return cols } // FilterColumnsByEnum generates the list of columns that are enum values. func FilterColumnsByEnum(columns []Column) []Column { var cols []Column for _, c := range columns { if strings.HasPrefix(c.DBType, "enum") { cols = append(cols, c) } } return cols }