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refactor: urfave v3

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This commit is contained in:
decentral1se
2024-07-09 13:57:54 +02:00
parent 375e17a4a0
commit 1f8662cd95
336 changed files with 7332 additions and 25145 deletions
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96
vendor/go.opentelemetry.io/proto/otlp/metrics/v1/metrics.pb.go generated vendored
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@ -153,7 +153,8 @@ func (AggregationTemporality) EnumDescriptor() ([]byte, []int) {
// enum is a bit-mask. To test the presence of a single flag in the flags of
// a data point, for example, use an expression like:
//
// (point.flags & DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK) == DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK
// (point.flags & DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK) == DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK
//
type DataPointFlags int32
const (
@ -414,68 +415,66 @@ func (x *ScopeMetrics) GetSchemaUrl() string {
// Defines a Metric which has one or more timeseries. The following is a
// brief summary of the Metric data model. For more details, see:
//
// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/data-model.md
// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/data-model.md
//
//
// The data model and relation between entities is shown in the
// diagram below. Here, "DataPoint" is the term used to refer to any
// one of the specific data point value types, and "points" is the term used
// to refer to any one of the lists of points contained in the Metric.
//
// - Metric is composed of a metadata and data.
//
// - Metadata part contains a name, description, unit.
//
// - Data is one of the possible types (Sum, Gauge, Histogram, Summary).
//
// - DataPoint contains timestamps, attributes, and one of the possible value type
// fields.
// - Metric is composed of a metadata and data.
// - Metadata part contains a name, description, unit.
// - Data is one of the possible types (Sum, Gauge, Histogram, Summary).
// - DataPoint contains timestamps, attributes, and one of the possible value type
// fields.
//
// Metric
// +------------+
// |name |
// |description |
// |unit | +------------------------------------+
// |data |---> |Gauge, Sum, Histogram, Summary, ... |
// +------------+ +------------------------------------+
// +------------+
// |name |
// |description |
// |unit | +------------------------------------+
// |data |---> |Gauge, Sum, Histogram, Summary, ... |
// +------------+ +------------------------------------+
//
// Data [One of Gauge, Sum, Histogram, Summary, ...]
// +-----------+
// |... | // Metadata about the Data.
// |points |--+
// +-----------+ |
// | +---------------------------+
// | |DataPoint 1 |
// v |+------+------+ +------+ |
// +-----+ ||label |label |...|label | |
// | 1 |-->||value1|value2|...|valueN| |
// +-----+ |+------+------+ +------+ |
// | . | |+-----+ |
// | . | ||value| |
// | . | |+-----+ |
// | . | +---------------------------+
// | . | .
// | . | .
// | . | .
// | . | +---------------------------+
// | . | |DataPoint M |
// +-----+ |+------+------+ +------+ |
// | M |-->||label |label |...|label | |
// +-----+ ||value1|value2|...|valueN| |
// |+------+------+ +------+ |
// |+-----+ |
// ||value| |
// |+-----+ |
// +---------------------------+
// Data [One of Gauge, Sum, Histogram, Summary, ...]
// +-----------+
// |... | // Metadata about the Data.
// |points |--+
// +-----------+ |
// | +---------------------------+
// | |DataPoint 1 |
// v |+------+------+ +------+ |
// +-----+ ||label |label |...|label | |
// | 1 |-->||value1|value2|...|valueN| |
// +-----+ |+------+------+ +------+ |
// | . | |+-----+ |
// | . | ||value| |
// | . | |+-----+ |
// | . | +---------------------------+
// | . | .
// | . | .
// | . | .
// | . | +---------------------------+
// | . | |DataPoint M |
// +-----+ |+------+------+ +------+ |
// | M |-->||label |label |...|label | |
// +-----+ ||value1|value2|...|valueN| |
// |+------+------+ +------+ |
// |+-----+ |
// ||value| |
// |+-----+ |
// +---------------------------+
//
// Each distinct type of DataPoint represents the output of a specific
// aggregation function, the result of applying the DataPoint's
// associated function of to one or more measurements.
//
// All DataPoint types have three common fields:
// - Attributes includes key-value pairs associated with the data point
// - TimeUnixNano is required, set to the end time of the aggregation
// - StartTimeUnixNano is optional, but strongly encouraged for DataPoints
// having an AggregationTemporality field, as discussed below.
// - Attributes includes key-value pairs associated with the data point
// - TimeUnixNano is required, set to the end time of the aggregation
// - StartTimeUnixNano is optional, but strongly encouraged for DataPoints
// having an AggregationTemporality field, as discussed below.
//
// Both TimeUnixNano and StartTimeUnixNano values are expressed as
// UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January 1970.
@ -1295,6 +1294,7 @@ func (x *HistogramDataPoint) GetMax() float64 {
// time-varying values of a ExponentialHistogram of double values. A ExponentialHistogram contains
// summary statistics for a population of values, it may optionally contain the
// distribution of those values across a set of buckets.
//
type ExponentialHistogramDataPoint struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache

2
vendor/go.opentelemetry.io/proto/otlp/trace/v1/trace.pb.go generated vendored
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@ -42,7 +42,7 @@ const (
// a bit-mask. To extract the bit-field, for example, use an
// expression like:
//
// (span.flags & SPAN_FLAGS_TRACE_FLAGS_MASK)
// (span.flags & SPAN_FLAGS_TRACE_FLAGS_MASK)
//
// See https://www.w3.org/TR/trace-context-2/#trace-flags for the flag definitions.
//