Upgrade docker (#2440)

* somehow now the only thing that doesnt work is devices.Device

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* this gets rid of all the compiler errors in the vendored code

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* fixed some things but a bunch of tests and maybe some compiler steps are still failing

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* all the things i figured out how to fix so far

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* guess i had to redo go mods after rebasing again

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* update docker constants to be SHOUTY CASE now

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* include DestPath in resolveEnv

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* fix one mistake in Docker lib upgrade and some typos/deprecations in the file

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

* last changes (hopefully) to update to new docker libs

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>

---------

Signed-off-by: Joe Kimmel <jkimmel@vmware.com>
This commit is contained in:
Joe Kimmel
2023-03-23 20:34:25 -04:00
committed by GitHub
parent 86a73c5439
commit 906cc96b59
1356 changed files with 96735 additions and 72375 deletions
+261 -70
View File
@@ -1,5 +1,5 @@
// Code generated by protoc-gen-go. DO NOT EDIT.
// source: metrics.proto
// source: io/prometheus/client/metrics.proto
package io_prometheus_client
@@ -24,11 +24,18 @@ const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
type MetricType int32
const (
MetricType_COUNTER MetricType = 0
MetricType_GAUGE MetricType = 1
MetricType_SUMMARY MetricType = 2
MetricType_UNTYPED MetricType = 3
// COUNTER must use the Metric field "counter".
MetricType_COUNTER MetricType = 0
// GAUGE must use the Metric field "gauge".
MetricType_GAUGE MetricType = 1
// SUMMARY must use the Metric field "summary".
MetricType_SUMMARY MetricType = 2
// UNTYPED must use the Metric field "untyped".
MetricType_UNTYPED MetricType = 3
// HISTOGRAM must use the Metric field "histogram".
MetricType_HISTOGRAM MetricType = 4
// GAUGE_HISTOGRAM must use the Metric field "histogram".
MetricType_GAUGE_HISTOGRAM MetricType = 5
)
var MetricType_name = map[int32]string{
@@ -37,14 +44,16 @@ var MetricType_name = map[int32]string{
2: "SUMMARY",
3: "UNTYPED",
4: "HISTOGRAM",
5: "GAUGE_HISTOGRAM",
}
var MetricType_value = map[string]int32{
"COUNTER": 0,
"GAUGE": 1,
"SUMMARY": 2,
"UNTYPED": 3,
"HISTOGRAM": 4,
"COUNTER": 0,
"GAUGE": 1,
"SUMMARY": 2,
"UNTYPED": 3,
"HISTOGRAM": 4,
"GAUGE_HISTOGRAM": 5,
}
func (x MetricType) Enum() *MetricType {
@@ -67,7 +76,7 @@ func (x *MetricType) UnmarshalJSON(data []byte) error {
}
func (MetricType) EnumDescriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{0}
return fileDescriptor_d1e5ddb18987a258, []int{0}
}
type LabelPair struct {
@@ -82,7 +91,7 @@ func (m *LabelPair) Reset() { *m = LabelPair{} }
func (m *LabelPair) String() string { return proto.CompactTextString(m) }
func (*LabelPair) ProtoMessage() {}
func (*LabelPair) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{0}
return fileDescriptor_d1e5ddb18987a258, []int{0}
}
func (m *LabelPair) XXX_Unmarshal(b []byte) error {
@@ -128,7 +137,7 @@ func (m *Gauge) Reset() { *m = Gauge{} }
func (m *Gauge) String() string { return proto.CompactTextString(m) }
func (*Gauge) ProtoMessage() {}
func (*Gauge) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{1}
return fileDescriptor_d1e5ddb18987a258, []int{1}
}
func (m *Gauge) XXX_Unmarshal(b []byte) error {
@@ -168,7 +177,7 @@ func (m *Counter) Reset() { *m = Counter{} }
func (m *Counter) String() string { return proto.CompactTextString(m) }
func (*Counter) ProtoMessage() {}
func (*Counter) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{2}
return fileDescriptor_d1e5ddb18987a258, []int{2}
}
func (m *Counter) XXX_Unmarshal(b []byte) error {
@@ -215,7 +224,7 @@ func (m *Quantile) Reset() { *m = Quantile{} }
func (m *Quantile) String() string { return proto.CompactTextString(m) }
func (*Quantile) ProtoMessage() {}
func (*Quantile) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{3}
return fileDescriptor_d1e5ddb18987a258, []int{3}
}
func (m *Quantile) XXX_Unmarshal(b []byte) error {
@@ -263,7 +272,7 @@ func (m *Summary) Reset() { *m = Summary{} }
func (m *Summary) String() string { return proto.CompactTextString(m) }
func (*Summary) ProtoMessage() {}
func (*Summary) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{4}
return fileDescriptor_d1e5ddb18987a258, []int{4}
}
func (m *Summary) XXX_Unmarshal(b []byte) error {
@@ -316,7 +325,7 @@ func (m *Untyped) Reset() { *m = Untyped{} }
func (m *Untyped) String() string { return proto.CompactTextString(m) }
func (*Untyped) ProtoMessage() {}
func (*Untyped) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{5}
return fileDescriptor_d1e5ddb18987a258, []int{5}
}
func (m *Untyped) XXX_Unmarshal(b []byte) error {
@@ -345,9 +354,34 @@ func (m *Untyped) GetValue() float64 {
}
type Histogram struct {
SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count,json=sampleCount" json:"sample_count,omitempty"`
SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum,json=sampleSum" json:"sample_sum,omitempty"`
Bucket []*Bucket `protobuf:"bytes,3,rep,name=bucket" json:"bucket,omitempty"`
SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count,json=sampleCount" json:"sample_count,omitempty"`
SampleCountFloat *float64 `protobuf:"fixed64,4,opt,name=sample_count_float,json=sampleCountFloat" json:"sample_count_float,omitempty"`
SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum,json=sampleSum" json:"sample_sum,omitempty"`
// Buckets for the conventional histogram.
Bucket []*Bucket `protobuf:"bytes,3,rep,name=bucket" json:"bucket,omitempty"`
// schema defines the bucket schema. Currently, valid numbers are -4 <= n <= 8.
// They are all for base-2 bucket schemas, where 1 is a bucket boundary in each case, and
// then each power of two is divided into 2^n logarithmic buckets.
// Or in other words, each bucket boundary is the previous boundary times 2^(2^-n).
// In the future, more bucket schemas may be added using numbers < -4 or > 8.
Schema *int32 `protobuf:"zigzag32,5,opt,name=schema" json:"schema,omitempty"`
ZeroThreshold *float64 `protobuf:"fixed64,6,opt,name=zero_threshold,json=zeroThreshold" json:"zero_threshold,omitempty"`
ZeroCount *uint64 `protobuf:"varint,7,opt,name=zero_count,json=zeroCount" json:"zero_count,omitempty"`
ZeroCountFloat *float64 `protobuf:"fixed64,8,opt,name=zero_count_float,json=zeroCountFloat" json:"zero_count_float,omitempty"`
// Negative buckets for the native histogram.
NegativeSpan []*BucketSpan `protobuf:"bytes,9,rep,name=negative_span,json=negativeSpan" json:"negative_span,omitempty"`
// Use either "negative_delta" or "negative_count", the former for
// regular histograms with integer counts, the latter for float
// histograms.
NegativeDelta []int64 `protobuf:"zigzag64,10,rep,name=negative_delta,json=negativeDelta" json:"negative_delta,omitempty"`
NegativeCount []float64 `protobuf:"fixed64,11,rep,name=negative_count,json=negativeCount" json:"negative_count,omitempty"`
// Positive buckets for the native histogram.
PositiveSpan []*BucketSpan `protobuf:"bytes,12,rep,name=positive_span,json=positiveSpan" json:"positive_span,omitempty"`
// Use either "positive_delta" or "positive_count", the former for
// regular histograms with integer counts, the latter for float
// histograms.
PositiveDelta []int64 `protobuf:"zigzag64,13,rep,name=positive_delta,json=positiveDelta" json:"positive_delta,omitempty"`
PositiveCount []float64 `protobuf:"fixed64,14,rep,name=positive_count,json=positiveCount" json:"positive_count,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
@@ -357,7 +391,7 @@ func (m *Histogram) Reset() { *m = Histogram{} }
func (m *Histogram) String() string { return proto.CompactTextString(m) }
func (*Histogram) ProtoMessage() {}
func (*Histogram) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{6}
return fileDescriptor_d1e5ddb18987a258, []int{6}
}
func (m *Histogram) XXX_Unmarshal(b []byte) error {
@@ -385,6 +419,13 @@ func (m *Histogram) GetSampleCount() uint64 {
return 0
}
func (m *Histogram) GetSampleCountFloat() float64 {
if m != nil && m.SampleCountFloat != nil {
return *m.SampleCountFloat
}
return 0
}
func (m *Histogram) GetSampleSum() float64 {
if m != nil && m.SampleSum != nil {
return *m.SampleSum
@@ -399,8 +440,81 @@ func (m *Histogram) GetBucket() []*Bucket {
return nil
}
func (m *Histogram) GetSchema() int32 {
if m != nil && m.Schema != nil {
return *m.Schema
}
return 0
}
func (m *Histogram) GetZeroThreshold() float64 {
if m != nil && m.ZeroThreshold != nil {
return *m.ZeroThreshold
}
return 0
}
func (m *Histogram) GetZeroCount() uint64 {
if m != nil && m.ZeroCount != nil {
return *m.ZeroCount
}
return 0
}
func (m *Histogram) GetZeroCountFloat() float64 {
if m != nil && m.ZeroCountFloat != nil {
return *m.ZeroCountFloat
}
return 0
}
func (m *Histogram) GetNegativeSpan() []*BucketSpan {
if m != nil {
return m.NegativeSpan
}
return nil
}
func (m *Histogram) GetNegativeDelta() []int64 {
if m != nil {
return m.NegativeDelta
}
return nil
}
func (m *Histogram) GetNegativeCount() []float64 {
if m != nil {
return m.NegativeCount
}
return nil
}
func (m *Histogram) GetPositiveSpan() []*BucketSpan {
if m != nil {
return m.PositiveSpan
}
return nil
}
func (m *Histogram) GetPositiveDelta() []int64 {
if m != nil {
return m.PositiveDelta
}
return nil
}
func (m *Histogram) GetPositiveCount() []float64 {
if m != nil {
return m.PositiveCount
}
return nil
}
// A Bucket of a conventional histogram, each of which is treated as
// an individual counter-like time series by Prometheus.
type Bucket struct {
CumulativeCount *uint64 `protobuf:"varint,1,opt,name=cumulative_count,json=cumulativeCount" json:"cumulative_count,omitempty"`
CumulativeCountFloat *float64 `protobuf:"fixed64,4,opt,name=cumulative_count_float,json=cumulativeCountFloat" json:"cumulative_count_float,omitempty"`
UpperBound *float64 `protobuf:"fixed64,2,opt,name=upper_bound,json=upperBound" json:"upper_bound,omitempty"`
Exemplar *Exemplar `protobuf:"bytes,3,opt,name=exemplar" json:"exemplar,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
@@ -412,7 +526,7 @@ func (m *Bucket) Reset() { *m = Bucket{} }
func (m *Bucket) String() string { return proto.CompactTextString(m) }
func (*Bucket) ProtoMessage() {}
func (*Bucket) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{7}
return fileDescriptor_d1e5ddb18987a258, []int{7}
}
func (m *Bucket) XXX_Unmarshal(b []byte) error {
@@ -440,6 +554,13 @@ func (m *Bucket) GetCumulativeCount() uint64 {
return 0
}
func (m *Bucket) GetCumulativeCountFloat() float64 {
if m != nil && m.CumulativeCountFloat != nil {
return *m.CumulativeCountFloat
}
return 0
}
func (m *Bucket) GetUpperBound() float64 {
if m != nil && m.UpperBound != nil {
return *m.UpperBound
@@ -454,6 +575,59 @@ func (m *Bucket) GetExemplar() *Exemplar {
return nil
}
// A BucketSpan defines a number of consecutive buckets in a native
// histogram with their offset. Logically, it would be more
// straightforward to include the bucket counts in the Span. However,
// the protobuf representation is more compact in the way the data is
// structured here (with all the buckets in a single array separate
// from the Spans).
type BucketSpan struct {
Offset *int32 `protobuf:"zigzag32,1,opt,name=offset" json:"offset,omitempty"`
Length *uint32 `protobuf:"varint,2,opt,name=length" json:"length,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *BucketSpan) Reset() { *m = BucketSpan{} }
func (m *BucketSpan) String() string { return proto.CompactTextString(m) }
func (*BucketSpan) ProtoMessage() {}
func (*BucketSpan) Descriptor() ([]byte, []int) {
return fileDescriptor_d1e5ddb18987a258, []int{8}
}
func (m *BucketSpan) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_BucketSpan.Unmarshal(m, b)
}
func (m *BucketSpan) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_BucketSpan.Marshal(b, m, deterministic)
}
func (m *BucketSpan) XXX_Merge(src proto.Message) {
xxx_messageInfo_BucketSpan.Merge(m, src)
}
func (m *BucketSpan) XXX_Size() int {
return xxx_messageInfo_BucketSpan.Size(m)
}
func (m *BucketSpan) XXX_DiscardUnknown() {
xxx_messageInfo_BucketSpan.DiscardUnknown(m)
}
var xxx_messageInfo_BucketSpan proto.InternalMessageInfo
func (m *BucketSpan) GetOffset() int32 {
if m != nil && m.Offset != nil {
return *m.Offset
}
return 0
}
func (m *BucketSpan) GetLength() uint32 {
if m != nil && m.Length != nil {
return *m.Length
}
return 0
}
type Exemplar struct {
Label []*LabelPair `protobuf:"bytes,1,rep,name=label" json:"label,omitempty"`
Value *float64 `protobuf:"fixed64,2,opt,name=value" json:"value,omitempty"`
@@ -467,7 +641,7 @@ func (m *Exemplar) Reset() { *m = Exemplar{} }
func (m *Exemplar) String() string { return proto.CompactTextString(m) }
func (*Exemplar) ProtoMessage() {}
func (*Exemplar) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{8}
return fileDescriptor_d1e5ddb18987a258, []int{9}
}
func (m *Exemplar) XXX_Unmarshal(b []byte) error {
@@ -526,7 +700,7 @@ func (m *Metric) Reset() { *m = Metric{} }
func (m *Metric) String() string { return proto.CompactTextString(m) }
func (*Metric) ProtoMessage() {}
func (*Metric) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{9}
return fileDescriptor_d1e5ddb18987a258, []int{10}
}
func (m *Metric) XXX_Unmarshal(b []byte) error {
@@ -610,7 +784,7 @@ func (m *MetricFamily) Reset() { *m = MetricFamily{} }
func (m *MetricFamily) String() string { return proto.CompactTextString(m) }
func (*MetricFamily) ProtoMessage() {}
func (*MetricFamily) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{10}
return fileDescriptor_d1e5ddb18987a258, []int{11}
}
func (m *MetricFamily) XXX_Unmarshal(b []byte) error {
@@ -669,55 +843,72 @@ func init() {
proto.RegisterType((*Untyped)(nil), "io.prometheus.client.Untyped")
proto.RegisterType((*Histogram)(nil), "io.prometheus.client.Histogram")
proto.RegisterType((*Bucket)(nil), "io.prometheus.client.Bucket")
proto.RegisterType((*BucketSpan)(nil), "io.prometheus.client.BucketSpan")
proto.RegisterType((*Exemplar)(nil), "io.prometheus.client.Exemplar")
proto.RegisterType((*Metric)(nil), "io.prometheus.client.Metric")
proto.RegisterType((*MetricFamily)(nil), "io.prometheus.client.MetricFamily")
}
func init() { proto.RegisterFile("metrics.proto", fileDescriptor_6039342a2ba47b72) }
func init() {
proto.RegisterFile("io/prometheus/client/metrics.proto", fileDescriptor_d1e5ddb18987a258)
}
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