mirror of
https://github.com/restic/restic.git
synced 2024-08-20 11:23:24 +02:00
Among others, this updates minio-go, so that the new "eu-west-3" zone for AWS is supported.
824 lines
22 KiB
Go
824 lines
22 KiB
Go
// Copyright 2015 Google Inc. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package bigquery
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import (
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"encoding/base64"
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"errors"
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"fmt"
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"math"
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"reflect"
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"strconv"
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"time"
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"cloud.google.com/go/civil"
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bq "google.golang.org/api/bigquery/v2"
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)
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// Value stores the contents of a single cell from a BigQuery result.
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type Value interface{}
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// ValueLoader stores a slice of Values representing a result row from a Read operation.
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// See RowIterator.Next for more information.
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type ValueLoader interface {
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Load(v []Value, s Schema) error
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}
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// valueList converts a []Value to implement ValueLoader.
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type valueList []Value
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// Load stores a sequence of values in a valueList.
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// It resets the slice length to zero, then appends each value to it.
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func (vs *valueList) Load(v []Value, _ Schema) error {
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*vs = append((*vs)[:0], v...)
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return nil
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}
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// valueMap converts a map[string]Value to implement ValueLoader.
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type valueMap map[string]Value
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// Load stores a sequence of values in a valueMap.
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func (vm *valueMap) Load(v []Value, s Schema) error {
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if *vm == nil {
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*vm = map[string]Value{}
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}
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loadMap(*vm, v, s)
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return nil
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}
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func loadMap(m map[string]Value, vals []Value, s Schema) {
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for i, f := range s {
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val := vals[i]
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var v interface{}
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switch {
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case val == nil:
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v = val
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case f.Schema == nil:
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v = val
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case !f.Repeated:
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m2 := map[string]Value{}
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loadMap(m2, val.([]Value), f.Schema)
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v = m2
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default: // repeated and nested
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sval := val.([]Value)
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vs := make([]Value, len(sval))
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for j, e := range sval {
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m2 := map[string]Value{}
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loadMap(m2, e.([]Value), f.Schema)
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vs[j] = m2
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}
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v = vs
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}
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m[f.Name] = v
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}
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}
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type structLoader struct {
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typ reflect.Type // type of struct
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err error
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ops []structLoaderOp
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vstructp reflect.Value // pointer to current struct value; changed by set
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}
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// A setFunc is a function that sets a struct field or slice/array
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// element to a value.
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type setFunc func(v reflect.Value, val interface{}) error
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// A structLoaderOp instructs the loader to set a struct field to a row value.
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type structLoaderOp struct {
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fieldIndex []int
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valueIndex int
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setFunc setFunc
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repeated bool
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}
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var errNoNulls = errors.New("bigquery: NULL values cannot be read into structs")
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func setAny(v reflect.Value, x interface{}) error {
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if x == nil {
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return errNoNulls
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}
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v.Set(reflect.ValueOf(x))
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return nil
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}
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func setInt(v reflect.Value, x interface{}) error {
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if x == nil {
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return errNoNulls
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}
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xx := x.(int64)
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if v.OverflowInt(xx) {
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return fmt.Errorf("bigquery: value %v overflows struct field of type %v", xx, v.Type())
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}
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v.SetInt(xx)
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return nil
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}
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func setUint(v reflect.Value, x interface{}) error {
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if x == nil {
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return errNoNulls
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}
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xx := x.(int64)
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if xx < 0 || v.OverflowUint(uint64(xx)) {
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return fmt.Errorf("bigquery: value %v overflows struct field of type %v", xx, v.Type())
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}
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v.SetUint(uint64(xx))
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return nil
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}
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func setFloat(v reflect.Value, x interface{}) error {
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if x == nil {
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return errNoNulls
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}
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xx := x.(float64)
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if v.OverflowFloat(xx) {
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return fmt.Errorf("bigquery: value %v overflows struct field of type %v", xx, v.Type())
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}
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v.SetFloat(xx)
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return nil
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}
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func setBool(v reflect.Value, x interface{}) error {
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if x == nil {
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return errNoNulls
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}
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v.SetBool(x.(bool))
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return nil
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}
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func setString(v reflect.Value, x interface{}) error {
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if x == nil {
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return errNoNulls
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}
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v.SetString(x.(string))
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return nil
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}
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func setBytes(v reflect.Value, x interface{}) error {
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if x == nil {
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v.SetBytes(nil)
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} else {
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v.SetBytes(x.([]byte))
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}
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return nil
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}
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func setNull(v reflect.Value, x interface{}, build func() interface{}) error {
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if x == nil {
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v.Set(reflect.Zero(v.Type()))
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} else {
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n := build()
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v.Set(reflect.ValueOf(n))
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}
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return nil
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}
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// set remembers a value for the next call to Load. The value must be
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// a pointer to a struct. (This is checked in RowIterator.Next.)
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func (sl *structLoader) set(structp interface{}, schema Schema) error {
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if sl.err != nil {
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return sl.err
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}
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sl.vstructp = reflect.ValueOf(structp)
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typ := sl.vstructp.Type().Elem()
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if sl.typ == nil {
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// First call: remember the type and compile the schema.
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sl.typ = typ
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ops, err := compileToOps(typ, schema)
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if err != nil {
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sl.err = err
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return err
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}
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sl.ops = ops
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} else if sl.typ != typ {
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return fmt.Errorf("bigquery: struct type changed from %s to %s", sl.typ, typ)
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}
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return nil
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}
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// compileToOps produces a sequence of operations that will set the fields of a
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// value of structType to the contents of a row with schema.
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func compileToOps(structType reflect.Type, schema Schema) ([]structLoaderOp, error) {
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var ops []structLoaderOp
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fields, err := fieldCache.Fields(structType)
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if err != nil {
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return nil, err
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}
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for i, schemaField := range schema {
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// Look for an exported struct field with the same name as the schema
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// field, ignoring case (BigQuery column names are case-insensitive,
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// and we want to act like encoding/json anyway).
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structField := fields.Match(schemaField.Name)
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if structField == nil {
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// Ignore schema fields with no corresponding struct field.
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continue
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}
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op := structLoaderOp{
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fieldIndex: structField.Index,
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valueIndex: i,
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}
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t := structField.Type
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if schemaField.Repeated {
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if t.Kind() != reflect.Slice && t.Kind() != reflect.Array {
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return nil, fmt.Errorf("bigquery: repeated schema field %s requires slice or array, but struct field %s has type %s",
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schemaField.Name, structField.Name, t)
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}
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t = t.Elem()
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op.repeated = true
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}
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if schemaField.Type == RecordFieldType {
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// Field can be a struct or a pointer to a struct.
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if t.Kind() == reflect.Ptr {
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t = t.Elem()
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}
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if t.Kind() != reflect.Struct {
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return nil, fmt.Errorf("bigquery: field %s has type %s, expected struct or *struct",
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structField.Name, structField.Type)
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}
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nested, err := compileToOps(t, schemaField.Schema)
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if err != nil {
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return nil, err
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}
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op.setFunc = func(v reflect.Value, val interface{}) error {
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return setNested(nested, v, val)
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}
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} else {
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op.setFunc = determineSetFunc(t, schemaField.Type)
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if op.setFunc == nil {
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return nil, fmt.Errorf("bigquery: schema field %s of type %s is not assignable to struct field %s of type %s",
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schemaField.Name, schemaField.Type, structField.Name, t)
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}
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}
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ops = append(ops, op)
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}
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return ops, nil
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}
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// determineSetFunc chooses the best function for setting a field of type ftype
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// to a value whose schema field type is stype. It returns nil if stype
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// is not assignable to ftype.
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// determineSetFunc considers only basic types. See compileToOps for
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// handling of repetition and nesting.
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func determineSetFunc(ftype reflect.Type, stype FieldType) setFunc {
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switch stype {
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case StringFieldType:
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if ftype.Kind() == reflect.String {
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return setString
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}
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if ftype == typeOfNullString {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullString{StringVal: x.(string), Valid: true}
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})
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}
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}
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case BytesFieldType:
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if ftype == typeOfByteSlice {
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return setBytes
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}
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case IntegerFieldType:
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if isSupportedUintType(ftype) {
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return setUint
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} else if isSupportedIntType(ftype) {
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return setInt
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}
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if ftype == typeOfNullInt64 {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullInt64{Int64: x.(int64), Valid: true}
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})
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}
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}
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case FloatFieldType:
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switch ftype.Kind() {
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case reflect.Float32, reflect.Float64:
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return setFloat
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}
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if ftype == typeOfNullFloat64 {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullFloat64{Float64: x.(float64), Valid: true}
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})
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}
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}
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case BooleanFieldType:
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if ftype.Kind() == reflect.Bool {
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return setBool
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}
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if ftype == typeOfNullBool {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullBool{Bool: x.(bool), Valid: true}
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})
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}
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}
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case TimestampFieldType:
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if ftype == typeOfGoTime {
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return setAny
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}
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if ftype == typeOfNullTimestamp {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullTimestamp{Timestamp: x.(time.Time), Valid: true}
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})
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}
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}
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case DateFieldType:
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if ftype == typeOfDate {
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return setAny
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}
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if ftype == typeOfNullDate {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullDate{Date: x.(civil.Date), Valid: true}
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})
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}
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}
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case TimeFieldType:
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if ftype == typeOfTime {
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return setAny
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}
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if ftype == typeOfNullTime {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullTime{Time: x.(civil.Time), Valid: true}
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})
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}
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}
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case DateTimeFieldType:
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if ftype == typeOfDateTime {
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return setAny
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}
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if ftype == typeOfNullDateTime {
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return func(v reflect.Value, x interface{}) error {
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return setNull(v, x, func() interface{} {
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return NullDateTime{DateTime: x.(civil.DateTime), Valid: true}
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})
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}
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}
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}
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return nil
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}
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func (sl *structLoader) Load(values []Value, _ Schema) error {
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if sl.err != nil {
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return sl.err
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}
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return runOps(sl.ops, sl.vstructp.Elem(), values)
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}
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// runOps executes a sequence of ops, setting the fields of vstruct to the
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// supplied values.
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func runOps(ops []structLoaderOp, vstruct reflect.Value, values []Value) error {
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for _, op := range ops {
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field := vstruct.FieldByIndex(op.fieldIndex)
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var err error
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if op.repeated {
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err = setRepeated(field, values[op.valueIndex].([]Value), op.setFunc)
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} else {
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err = op.setFunc(field, values[op.valueIndex])
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}
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if err != nil {
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return err
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}
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}
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return nil
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}
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func setNested(ops []structLoaderOp, v reflect.Value, val interface{}) error {
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// v is either a struct or a pointer to a struct.
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if v.Kind() == reflect.Ptr {
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// If the value is nil, set the pointer to nil.
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if val == nil {
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v.Set(reflect.Zero(v.Type()))
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return nil
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}
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// If the pointer is nil, set it to a zero struct value.
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if v.IsNil() {
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v.Set(reflect.New(v.Type().Elem()))
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}
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v = v.Elem()
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}
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return runOps(ops, v, val.([]Value))
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}
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func setRepeated(field reflect.Value, vslice []Value, setElem setFunc) error {
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vlen := len(vslice)
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var flen int
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switch field.Type().Kind() {
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case reflect.Slice:
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// Make a slice of the right size, avoiding allocation if possible.
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switch {
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case field.Len() < vlen:
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field.Set(reflect.MakeSlice(field.Type(), vlen, vlen))
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case field.Len() > vlen:
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field.SetLen(vlen)
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}
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flen = vlen
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case reflect.Array:
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flen = field.Len()
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if flen > vlen {
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// Set extra elements to their zero value.
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z := reflect.Zero(field.Type().Elem())
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for i := vlen; i < flen; i++ {
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field.Index(i).Set(z)
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}
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}
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default:
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return fmt.Errorf("bigquery: impossible field type %s", field.Type())
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}
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for i, val := range vslice {
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if i < flen { // avoid writing past the end of a short array
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if err := setElem(field.Index(i), val); err != nil {
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return err
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}
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}
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}
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return nil
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}
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// A ValueSaver returns a row of data to be inserted into a table.
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type ValueSaver interface {
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// Save returns a row to be inserted into a BigQuery table, represented
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// as a map from field name to Value.
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// If insertID is non-empty, BigQuery will use it to de-duplicate
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// insertions of this row on a best-effort basis.
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Save() (row map[string]Value, insertID string, err error)
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}
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// ValuesSaver implements ValueSaver for a slice of Values.
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type ValuesSaver struct {
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Schema Schema
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// If non-empty, BigQuery will use InsertID to de-duplicate insertions
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// of this row on a best-effort basis.
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InsertID string
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Row []Value
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}
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// Save implements ValueSaver.
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func (vls *ValuesSaver) Save() (map[string]Value, string, error) {
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m, err := valuesToMap(vls.Row, vls.Schema)
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return m, vls.InsertID, err
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}
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func valuesToMap(vs []Value, schema Schema) (map[string]Value, error) {
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if len(vs) != len(schema) {
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return nil, errors.New("Schema does not match length of row to be inserted")
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}
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m := make(map[string]Value)
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for i, fieldSchema := range schema {
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if vs[i] == nil {
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m[fieldSchema.Name] = nil
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continue
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}
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if fieldSchema.Type != RecordFieldType {
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m[fieldSchema.Name] = toUploadValue(vs[i], fieldSchema)
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continue
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}
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// Nested record, possibly repeated.
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vals, ok := vs[i].([]Value)
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if !ok {
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return nil, errors.New("nested record is not a []Value")
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}
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if !fieldSchema.Repeated {
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value, err := valuesToMap(vals, fieldSchema.Schema)
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if err != nil {
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return nil, err
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}
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m[fieldSchema.Name] = value
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continue
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}
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// A repeated nested field is converted into a slice of maps.
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var maps []Value
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for _, v := range vals {
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sv, ok := v.([]Value)
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if !ok {
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return nil, errors.New("nested record in slice is not a []Value")
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}
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value, err := valuesToMap(sv, fieldSchema.Schema)
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if err != nil {
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return nil, err
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}
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maps = append(maps, value)
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}
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m[fieldSchema.Name] = maps
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}
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return m, nil
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}
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// StructSaver implements ValueSaver for a struct.
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// The struct is converted to a map of values by using the values of struct
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// fields corresponding to schema fields. Additional and missing
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// fields are ignored, as are nested struct pointers that are nil.
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type StructSaver struct {
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// Schema determines what fields of the struct are uploaded. It should
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// match the table's schema.
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Schema Schema
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// If non-empty, BigQuery will use InsertID to de-duplicate insertions
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// of this row on a best-effort basis.
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InsertID string
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// Struct should be a struct or a pointer to a struct.
|
|
Struct interface{}
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|
}
|
|
|
|
// Save implements ValueSaver.
|
|
func (ss *StructSaver) Save() (row map[string]Value, insertID string, err error) {
|
|
vstruct := reflect.ValueOf(ss.Struct)
|
|
row, err = structToMap(vstruct, ss.Schema)
|
|
if err != nil {
|
|
return nil, "", err
|
|
}
|
|
return row, ss.InsertID, nil
|
|
}
|
|
|
|
func structToMap(vstruct reflect.Value, schema Schema) (map[string]Value, error) {
|
|
if vstruct.Kind() == reflect.Ptr {
|
|
vstruct = vstruct.Elem()
|
|
}
|
|
if !vstruct.IsValid() {
|
|
return nil, nil
|
|
}
|
|
m := map[string]Value{}
|
|
if vstruct.Kind() != reflect.Struct {
|
|
return nil, fmt.Errorf("bigquery: type is %s, need struct or struct pointer", vstruct.Type())
|
|
}
|
|
fields, err := fieldCache.Fields(vstruct.Type())
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
for _, schemaField := range schema {
|
|
// Look for an exported struct field with the same name as the schema
|
|
// field, ignoring case.
|
|
structField := fields.Match(schemaField.Name)
|
|
if structField == nil {
|
|
continue
|
|
}
|
|
val, err := structFieldToUploadValue(vstruct.FieldByIndex(structField.Index), schemaField)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
// Add the value to the map, unless it is nil.
|
|
if val != nil {
|
|
m[schemaField.Name] = val
|
|
}
|
|
}
|
|
return m, nil
|
|
}
|
|
|
|
// structFieldToUploadValue converts a struct field to a value suitable for ValueSaver.Save, using
|
|
// the schemaField as a guide.
|
|
// structFieldToUploadValue is careful to return a true nil interface{} when needed, so its
|
|
// caller can easily identify a nil value.
|
|
func structFieldToUploadValue(vfield reflect.Value, schemaField *FieldSchema) (interface{}, error) {
|
|
if schemaField.Repeated && (vfield.Kind() != reflect.Slice && vfield.Kind() != reflect.Array) {
|
|
return nil, fmt.Errorf("bigquery: repeated schema field %s requires slice or array, but value has type %s",
|
|
schemaField.Name, vfield.Type())
|
|
}
|
|
|
|
// A non-nested field can be represented by its Go value, except for civil times.
|
|
if schemaField.Type != RecordFieldType {
|
|
return toUploadValueReflect(vfield, schemaField), nil
|
|
}
|
|
// A non-repeated nested field is converted into a map[string]Value.
|
|
if !schemaField.Repeated {
|
|
m, err := structToMap(vfield, schemaField.Schema)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if m == nil {
|
|
return nil, nil
|
|
}
|
|
return m, nil
|
|
}
|
|
// A repeated nested field is converted into a slice of maps.
|
|
if vfield.Len() == 0 {
|
|
return nil, nil
|
|
}
|
|
var vals []Value
|
|
for i := 0; i < vfield.Len(); i++ {
|
|
m, err := structToMap(vfield.Index(i), schemaField.Schema)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
vals = append(vals, m)
|
|
}
|
|
return vals, nil
|
|
}
|
|
|
|
func toUploadValue(val interface{}, fs *FieldSchema) interface{} {
|
|
if fs.Type == TimeFieldType || fs.Type == DateTimeFieldType {
|
|
return toUploadValueReflect(reflect.ValueOf(val), fs)
|
|
}
|
|
return val
|
|
}
|
|
|
|
func toUploadValueReflect(v reflect.Value, fs *FieldSchema) interface{} {
|
|
switch fs.Type {
|
|
case TimeFieldType:
|
|
if v.Type() == typeOfNullTime {
|
|
return v.Interface()
|
|
}
|
|
return civilToUploadValue(v, fs, func(v reflect.Value) string {
|
|
return CivilTimeString(v.Interface().(civil.Time))
|
|
})
|
|
case DateTimeFieldType:
|
|
if v.Type() == typeOfNullDateTime {
|
|
return v.Interface()
|
|
}
|
|
return civilToUploadValue(v, fs, func(v reflect.Value) string {
|
|
return CivilDateTimeString(v.Interface().(civil.DateTime))
|
|
})
|
|
default:
|
|
if !fs.Repeated || v.Len() > 0 {
|
|
return v.Interface()
|
|
}
|
|
// The service treats a null repeated field as an error. Return
|
|
// nil to omit the field entirely.
|
|
return nil
|
|
}
|
|
}
|
|
|
|
func civilToUploadValue(v reflect.Value, fs *FieldSchema, cvt func(reflect.Value) string) interface{} {
|
|
if !fs.Repeated {
|
|
return cvt(v)
|
|
}
|
|
if v.Len() == 0 {
|
|
return nil
|
|
}
|
|
s := make([]string, v.Len())
|
|
for i := 0; i < v.Len(); i++ {
|
|
s[i] = cvt(v.Index(i))
|
|
}
|
|
return s
|
|
}
|
|
|
|
// CivilTimeString returns a string representing a civil.Time in a format compatible
|
|
// with BigQuery SQL. It rounds the time to the nearest microsecond and returns a
|
|
// string with six digits of sub-second precision.
|
|
//
|
|
// Use CivilTimeString when using civil.Time in DML, for example in INSERT
|
|
// statements.
|
|
func CivilTimeString(t civil.Time) string {
|
|
if t.Nanosecond == 0 {
|
|
return t.String()
|
|
} else {
|
|
micro := (t.Nanosecond + 500) / 1000 // round to nearest microsecond
|
|
t.Nanosecond = 0
|
|
return t.String() + fmt.Sprintf(".%06d", micro)
|
|
}
|
|
}
|
|
|
|
// CivilDateTimeString returns a string representing a civil.DateTime in a format compatible
|
|
// with BigQuery SQL. It separate the date and time with a space, and formats the time
|
|
// with CivilTimeString.
|
|
//
|
|
// Use CivilDateTimeString when using civil.DateTime in DML, for example in INSERT
|
|
// statements.
|
|
func CivilDateTimeString(dt civil.DateTime) string {
|
|
return dt.Date.String() + " " + CivilTimeString(dt.Time)
|
|
}
|
|
|
|
// convertRows converts a series of TableRows into a series of Value slices.
|
|
// schema is used to interpret the data from rows; its length must match the
|
|
// length of each row.
|
|
func convertRows(rows []*bq.TableRow, schema Schema) ([][]Value, error) {
|
|
var rs [][]Value
|
|
for _, r := range rows {
|
|
row, err := convertRow(r, schema)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
rs = append(rs, row)
|
|
}
|
|
return rs, nil
|
|
}
|
|
|
|
func convertRow(r *bq.TableRow, schema Schema) ([]Value, error) {
|
|
if len(schema) != len(r.F) {
|
|
return nil, errors.New("schema length does not match row length")
|
|
}
|
|
var values []Value
|
|
for i, cell := range r.F {
|
|
fs := schema[i]
|
|
v, err := convertValue(cell.V, fs.Type, fs.Schema)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
values = append(values, v)
|
|
}
|
|
return values, nil
|
|
}
|
|
|
|
func convertValue(val interface{}, typ FieldType, schema Schema) (Value, error) {
|
|
switch val := val.(type) {
|
|
case nil:
|
|
return nil, nil
|
|
case []interface{}:
|
|
return convertRepeatedRecord(val, typ, schema)
|
|
case map[string]interface{}:
|
|
return convertNestedRecord(val, schema)
|
|
case string:
|
|
return convertBasicType(val, typ)
|
|
default:
|
|
return nil, fmt.Errorf("got value %v; expected a value of type %s", val, typ)
|
|
}
|
|
}
|
|
|
|
func convertRepeatedRecord(vals []interface{}, typ FieldType, schema Schema) (Value, error) {
|
|
var values []Value
|
|
for _, cell := range vals {
|
|
// each cell contains a single entry, keyed by "v"
|
|
val := cell.(map[string]interface{})["v"]
|
|
v, err := convertValue(val, typ, schema)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
values = append(values, v)
|
|
}
|
|
return values, nil
|
|
}
|
|
|
|
func convertNestedRecord(val map[string]interface{}, schema Schema) (Value, error) {
|
|
// convertNestedRecord is similar to convertRow, as a record has the same structure as a row.
|
|
|
|
// Nested records are wrapped in a map with a single key, "f".
|
|
record := val["f"].([]interface{})
|
|
if len(record) != len(schema) {
|
|
return nil, errors.New("schema length does not match record length")
|
|
}
|
|
|
|
var values []Value
|
|
for i, cell := range record {
|
|
// each cell contains a single entry, keyed by "v"
|
|
val := cell.(map[string]interface{})["v"]
|
|
fs := schema[i]
|
|
v, err := convertValue(val, fs.Type, fs.Schema)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
values = append(values, v)
|
|
}
|
|
return values, nil
|
|
}
|
|
|
|
// convertBasicType returns val as an interface with a concrete type specified by typ.
|
|
func convertBasicType(val string, typ FieldType) (Value, error) {
|
|
switch typ {
|
|
case StringFieldType:
|
|
return val, nil
|
|
case BytesFieldType:
|
|
return base64.StdEncoding.DecodeString(val)
|
|
case IntegerFieldType:
|
|
return strconv.ParseInt(val, 10, 64)
|
|
case FloatFieldType:
|
|
return strconv.ParseFloat(val, 64)
|
|
case BooleanFieldType:
|
|
return strconv.ParseBool(val)
|
|
case TimestampFieldType:
|
|
f, err := strconv.ParseFloat(val, 64)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
secs := math.Trunc(f)
|
|
nanos := (f - secs) * 1e9
|
|
return Value(time.Unix(int64(secs), int64(nanos)).UTC()), nil
|
|
case DateFieldType:
|
|
return civil.ParseDate(val)
|
|
case TimeFieldType:
|
|
return civil.ParseTime(val)
|
|
case DateTimeFieldType:
|
|
return civil.ParseDateTime(val)
|
|
default:
|
|
return nil, fmt.Errorf("unrecognized type: %s", typ)
|
|
}
|
|
}
|