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making it possible for multiple windows to receive the same data

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still need some more work on this
This commit is contained in:
esilva
2026-03-13 23:35:33 +00:00
parent 93ecb1a11d
commit 7caad7149e
3 changed files with 54 additions and 38 deletions
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telemetry/data.go
+28 -28
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@@ -45,9 +45,13 @@ const (
// TelemetryField will be the basic unit to hold telemetry data values in our
// application.
// From my testing, using an uint64 bucket is around 50x faster than any
// From my testing, using an uint64 bucket is around 50x faster than any/interface{}
// The IDs member is a list so that we can have multiple items on the target device
// consuming the same piece of data
// NOTE: we can optimize this via a special command that says a given piece of data
// is for multiple targets
type TelemetryField struct {
ID int16 // Identification: I have to learn how I will use this on other devices
IDs []int16 // Identification for the serial device
Type DataType
Raw uint64
Str string // Only to be used with DataTypeSTRING
@@ -68,28 +72,28 @@ type TelemetryField struct {
func (tf *TelemetryField) Pack(dest []byte) []byte {
// NOTE: maybe we can have a pool of these so we don't have to create them here
// or whatever
dest = append(dest, uint8(tf.ID), uint8(tf.ID>>8))
dest = append(dest, uint8(tf.Type))
for _, id := range tf.IDs {
dest = append(dest, uint8(id), uint8(id>>8))
dest = append(dest, uint8(tf.Type))
switch tf.Type {
case DataTypeINT8, DataTypeUINT8:
dest = append(dest, uint8(tf.Raw))
case DataTypeINT16, DataTypeUINT16:
dest = append(dest, uint8(tf.Raw), uint8(tf.Raw>>8))
case DataTypeINT32, DataTypeUINT32:
dest = append(dest, uint8(tf.Raw), uint8(tf.Raw>>8), uint8(tf.Raw>>16))
case DataTypeINT64, DataTypeUINT64:
dest = append(dest, uint8(tf.Raw), uint8(tf.Raw>>8), uint8(tf.Raw>>16),
uint8(tf.Raw>>24), uint8(tf.Raw>>32), uint8(tf.Raw>>40), uint8(tf.Raw>>48),
uint8(tf.Raw>>56),
)
case DataTypeSTRING:
l := min(len(tf.Str), math.MaxUint8)
switch tf.Type {
case DataTypeINT8, DataTypeUINT8, DataTypeCHAR:
dest = append(dest, uint8(tf.Raw))
case DataTypeINT16, DataTypeUINT16:
dest = append(dest, uint8(tf.Raw), uint8(tf.Raw>>8))
case DataTypeINT32, DataTypeUINT32:
dest = append(dest, uint8(tf.Raw), uint8(tf.Raw>>8), uint8(tf.Raw>>16), uint8(tf.Raw>>24))
case DataTypeINT64, DataTypeUINT64:
dest = append(dest, uint8(tf.Raw), uint8(tf.Raw>>8), uint8(tf.Raw>>16),
uint8(tf.Raw>>24), uint8(tf.Raw>>32), uint8(tf.Raw>>40), uint8(tf.Raw>>48),
uint8(tf.Raw>>56),
)
case DataTypeSTRING:
l := min(len(tf.Str), math.MaxUint8)
dest = append(dest, uint8(l))
dest = append(dest, tf.Str[:l]...)
case DataTypeCHAR:
dest = append(dest, uint8(tf.Raw))
dest = append(dest, uint8(l))
dest = append(dest, tf.Str[:l]...)
}
}
return dest
@@ -156,13 +160,9 @@ func GetFieldID(name string) (FieldID, bool) {
return id, ok
}
// NOTE: Replace values with a more appropriate custom field approach where
// every custom field only takes as many bytes as required
// NOTE: Add the timing fields here to count frames of data gathering and whatnot
// remember to do the same to whoever is sending data
// TelemetryData is
// I need to find a way of having the values be per window or some other
type TelemetryData struct {
// Values map[string]*TelemetryField
Values [MaxFields]TelemetryField
ActiveBinds []BoundField
InitialTime time.Time