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lilleman 72a6ef9071
Tests / vet + fmt + tests (pull_request) Successful in 1m2s
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Name the typed spelling for a column read whose values hold the datatype beside it, and say holding for a datatype taken from a column read
2026-09-15 21:44:36 +02:00

210 lines
6.7 KiB
Go

package fejkdata
import (
"errors"
"fmt"
)
// DataType is what a record column holds, which decides how a record writes its value.
type DataType int
// The datatypes a column declares with "datatype"; a column without one is a string.
const (
DataTypeString DataType = iota
DataTypeInteger
DataTypeNumber
DataTypeBoolean
)
var (
dataTypeNames = [...]string{"string", "integer", "number", "boolean"}
dataTypeNouns = [...]string{"text", "an integer", "a number", "a boolean"}
)
// String is the datatype as data spells it.
func (d DataType) String() string {
if d < 0 || int(d) >= len(dataTypeNames) {
return fmt.Sprintf("DataType(%d)", int(d))
}
return dataTypeNames[d]
}
// position is where a JSON value sits, which decides whether it may carry a datatype or
// be null.
type position int
const (
inFormat position = iota // rendered by a format, so neither
atTop // a category or an inline template, whose fields may be columns
inColumn // a column, or a choice item standing in for one
)
// datatypeOf reads a template's "datatype" (default DataTypeString).
func datatypeOf(m map[string]any, pos position) (DataType, error) {
v, ok := m["datatype"]
if !ok {
return DataTypeString, nil
}
name, ok := v.(string)
if !ok {
return 0, fmt.Errorf("datatype must be a string, got %T", v)
}
if name == DataTypeString.String() {
return 0, fmt.Errorf("datatype %q is the default, so it has no effect; drop it", name)
}
for d := DataTypeInteger; d <= DataTypeBoolean; d++ {
if name != d.String() {
continue
}
if pos != inColumn {
return 0, errors.New("datatype only types a record column — a field of the top-level template — so it has no effect here")
}
return d, nil
}
return 0, fmt.Errorf(`datatype takes "integer", "number" or "boolean", got %q`, name)
}
// checkColumns rejects a record column whose items hold different datatypes, checking a column
// after the columns its items read, so a column read is named before its readers.
func checkColumns(s nodeScope) error {
checked := map[node]bool{}
var check func(path, name string, column node) error
check = func(path, name string, column node) error {
if checked[column] {
return nil
}
checked[column] = true
items, _ := columnItems(column)
for _, it := range items {
if r := it.readsColumn; r != nil {
if err := check(r.a.key[1:], r.a.tail[0], r.column); err != nil {
return err
}
}
}
if _, err := columnDatatype(column); err != nil {
return fmt.Errorf("%s: field %q: %w", path, name, err)
}
return nil
}
return s(func(path string, n node) error {
t, ok := n.(*template)
if !ok || !t.record {
return nil
}
for _, name := range recordColumns(t) {
if err := check(path, name, t.fields[name]); err != nil {
return err
}
}
return nil
})
}
// columnDatatype is the datatype a column's items hold. They must agree, since a
// column holds one; a column only ever null is a string.
func columnDatatype(n node) (DataType, error) {
items, _ := columnItems(n)
if len(items) == 0 {
return DataTypeString, nil
}
first := itemDatatype(items[0])
for _, t := range items[1:] {
if d := itemDatatype(t); d != first {
return first, disagreement(items[0], first, t, d)
}
}
return first, nil
}
// itemDatatype is the datatype a column item declares, else that of the column it is.
func itemDatatype(t *template) DataType {
if t.datatype != DataTypeString {
return t.datatype
}
return readDatatype(t)
}
// readDatatype is the datatype of the column t is, reading it by one reference alone; a string
// when t reads none.
func readDatatype(t *template) DataType {
if t.readsColumn == nil {
return DataTypeString
}
items, _ := columnItems(t.readsColumn.column)
if len(items) == 0 {
return DataTypeString
}
return itemDatatype(items[0]) // checkColumns refuses that column where its items disagree
}
// columnItems is a column's template items, its choices unwrapped, and whether one is null.
func columnItems(n node) (items []*template, nullable bool) {
var collect func(node)
collect = func(n node) {
switch n := n.(type) {
case *choice:
for _, it := range n.items {
collect(it)
}
case *template:
items = append(items, n)
case *null:
nullable = true
}
}
collect(n)
return items, nullable
}
// disagreement names the fix for two items of one column holding different datatypes.
func disagreement(a *template, da DataType, b *template, db DataType) error {
bare, typed, want := b, a, da
if da == DataTypeString {
bare, typed, want = a, b, db
}
switch {
case da != DataTypeString && db != DataTypeString:
return bothTyped(a, da, b, db)
case typed.datatype == DataTypeString && (&valueProof{}).columnItem(bare).not[want] != "":
return fmt.Errorf(`item %q is not %s, the datatype item %q takes from the column it reads; to read that column as text, %s`, bare.format, dataTypeNouns[want], typed.format, asText(typed))
case bare.fromString: // an object may carry a weight, which this spelling would drop
return fmt.Errorf(`item %q declares no datatype, and a column holds one; write it as {"format":%q,"datatype":%q}`, bare.format, bare.format, want)
}
return fmt.Errorf(`item %q declares no datatype beside one holding %s; a column holds one, so give it "datatype": %q`, bare.format, want, want)
}
// bothTyped names the fix for two items holding different datatypes: the one taking its datatype
// from the column it reads is typed as the other where its values prove it, else read as text.
func bothTyped(a *template, da DataType, b *template, db DataType) error {
read, other := a, db
if a.datatype != DataTypeString {
read, other = b, da
}
switch {
case read.datatype != DataTypeString:
return fmt.Errorf("its items hold %s and %s; a column holds one datatype", da, db)
case (&valueProof{}).columnItem(read).not[other] == "":
return fmt.Errorf("its items hold %s and %s; a column holds one datatype, so %s", da, db, typedAs(read, other))
}
return fmt.Errorf("its items hold %s and %s; a column holds one datatype, so to read %q as text, %s", da, db, read.format, asText(read))
}
// typedAs names the spelling giving a column-read item datatype d, keeping the other keys an object
// item carries.
func typedAs(t *template, d DataType) string {
if t.fromString {
return fmt.Sprintf(`write %q as {"format":%q,"datatype":%q}`, t.format, t.format, d)
}
return fmt.Sprintf(`give %q "datatype": %q`, t.format, d)
}
// asText names the spelling that reads the column a column-read item reads as text, keeping the
// other keys an object item carries.
func asText(t *template) string {
if t.fromString {
return fmt.Sprintf(`write {"format":"{text}","text":%q}`, t.format)
}
return fmt.Sprintf(`set its "format" to "{text}" and add "text": %q`, t.format)
}