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rebase: update kubernetes to v1.23.0

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updating go dependency to latest kubernetes
released version i.e v1.23.0

Signed-off-by: Madhu Rajanna <madhupr007@gmail.com>
This commit is contained in:
Madhu Rajanna
2021-12-08 19:20:47 +05:30
committed by mergify[bot]
parent 42403e2ba7
commit 5762da3e91
789 changed files with 49781 additions and 11501 deletions
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run:
timeout: 1m
tests: true
linters:
disable-all: true
enable:
- asciicheck
- deadcode
- errcheck
- forcetypeassert
- gocritic
- gofmt
- goimports
- gosimple
- govet
- ineffassign
- misspell
- revive
- staticcheck
- structcheck
- typecheck
- unused
- varcheck
issues:
exclude-use-default: false
max-issues-per-linter: 0
max-same-issues: 10

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# CHANGELOG
## v1.0.0-rc1
This is the first logged release. Major changes (including breaking changes)
have occurred since earlier tags.

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# Contributing
Logr is open to pull-requests, provided they fit within the intended scope of
the project. Specifically, this library aims to be VERY small and minimalist,
with no external dependencies.
## Compatibility
This project intends to follow [semantic versioning](http://semver.org) and
is very strict about compatibility. Any proposed changes MUST follow those
rules.
## Performance
As a logging library, logr must be as light-weight as possible. Any proposed
code change must include results of running the [benchmark](./benchmark)
before and after the change.

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# A more minimal logging API for Go
# A minimal logging API for Go
[![Go Reference](https://pkg.go.dev/badge/github.com/go-logr/logr.svg)](https://pkg.go.dev/github.com/go-logr/logr)
logr offers an(other) opinion on how Go programs and libraries can do logging
without becoming coupled to a particular logging implementation. This is not
an implementation of logging - it is an API. In fact it is two APIs with two
different sets of users.
The `Logger` type is intended for application and library authors. It provides
a relatively small API which can be used everywhere you want to emit logs. It
defers the actual act of writing logs (to files, to stdout, or whatever) to the
`LogSink` interface.
The `LogSink` interface is intended for logging library implementers. It is a
pure interface which can be implemented by logging frameworks to provide the actual logging
functionality.
This decoupling allows application and library developers to write code in
terms of `logr.Logger` (which has very low dependency fan-out) while the
implementation of logging is managed "up stack" (e.g. in or near `main()`.)
Application developers can then switch out implementations as necessary.
Many people assert that libraries should not be logging, and as such efforts
like this are pointless. Those people are welcome to convince the authors of
the tens-of-thousands of libraries that *DO* write logs that they are all
wrong. In the meantime, logr takes a more practical approach.
## Typical usage
Somewhere, early in an application's life, it will make a decision about which
logging library (implementation) it actually wants to use. Something like:
```
func main() {
// ... other setup code ...
// Create the "root" logger. We have chosen the "logimpl" implementation,
// which takes some initial parameters and returns a logr.Logger.
logger := logimpl.New(param1, param2)
// ... other setup code ...
```
Most apps will call into other libraries, create structures to govern the flow,
etc. The `logr.Logger` object can be passed to these other libraries, stored
in structs, or even used as a package-global variable, if needed. For example:
```
app := createTheAppObject(logger)
app.Run()
```
Outside of this early setup, no other packages need to know about the choice of
implementation. They write logs in terms of the `logr.Logger` that they
received:
```
type appObject struct {
// ... other fields ...
logger logr.Logger
// ... other fields ...
}
func (app *appObject) Run() {
app.logger.Info("starting up", "timestamp", time.Now())
// ... app code ...
```
## Background
If the Go standard library had defined an interface for logging, this project
probably would not be needed. Alas, here we are.
### Inspiration
Before you consider this package, please read [this blog post by the
inimitable Dave Cheney][warning-makes-no-sense]. I really appreciate what
he has to say, and it largely aligns with my own experiences. Too many
choices of levels means inconsistent logs.
inimitable Dave Cheney][warning-makes-no-sense]. We really appreciate what
he has to say, and it largely aligns with our own experiences.
This package offers a purely abstract interface, based on these ideas but with
a few twists. Code can depend on just this interface and have the actual
logging implementation be injected from callers. Ideally only `main()` knows
what logging implementation is being used.
# Differences from Dave's ideas
### Differences from Dave's ideas
The main differences are:
1) Dave basically proposes doing away with the notion of a logging API in favor
of `fmt.Printf()`. I disagree, especially when you consider things like output
locations, timestamps, file and line decorations, and structured logging. I
restrict the API to just 2 types of logs: info and error.
1. Dave basically proposes doing away with the notion of a logging API in favor
of `fmt.Printf()`. We disagree, especially when you consider things like output
locations, timestamps, file and line decorations, and structured logging. This
package restricts the logging API to just 2 types of logs: info and error.
Info logs are things you want to tell the user which are not errors. Error
logs are, well, errors. If your code receives an `error` from a subordinate
function call and is logging that `error` *and not returning it*, use error
logs.
2) Verbosity-levels on info logs. This gives developers a chance to indicate
2. Verbosity-levels on info logs. This gives developers a chance to indicate
arbitrary grades of importance for info logs, without assigning names with
semantic meaning such as "warning", "trace", and "debug". Superficially this
semantic meaning such as "warning", "trace", and "debug." Superficially this
may feel very similar, but the primary difference is the lack of semantics.
Because verbosity is a numerical value, it's safe to assume that an app running
with higher verbosity means more (and less important) logs will be generated.
This is a BETA grade API.
## Implementations (non-exhaustive)
There are implementations for the following logging libraries:
- **a function** (can bridge to non-structured libraries): [funcr](https://github.com/go-logr/logr/tree/master/funcr)
- **github.com/google/glog**: [glogr](https://github.com/go-logr/glogr)
- **k8s.io/klog**: [klogr](https://git.k8s.io/klog/klogr)
- **k8s.io/klog** (for Kubernetes): [klogr](https://git.k8s.io/klog/klogr)
- **go.uber.org/zap**: [zapr](https://github.com/go-logr/zapr)
- **log** (the Go standard library logger):
[stdr](https://github.com/go-logr/stdr)
- **log** (the Go standard library logger): [stdr](https://github.com/go-logr/stdr)
- **github.com/sirupsen/logrus**: [logrusr](https://github.com/bombsimon/logrusr)
- **github.com/wojas/genericr**: [genericr](https://github.com/wojas/genericr) (makes it easy to implement your own backend)
- **logfmt** (Heroku style [logging](https://www.brandur.org/logfmt)): [logfmtr](https://github.com/iand/logfmtr)
- **github.com/rs/zerolog**: [zerologr](https://github.com/go-logr/zerologr)
# FAQ
## FAQ
## Conceptual
### Conceptual
## Why structured logging?
#### Why structured logging?
- **Structured logs are more easily queriable**: Since you've got
- **Structured logs are more easily queryable**: Since you've got
key-value pairs, it's much easier to query your structured logs for
particular values by filtering on the contents of a particular key --
think searching request logs for error codes, Kubernetes reconcilers for
the name and namespace of the reconciled object, etc
the name and namespace of the reconciled object, etc.
- **Structured logging makes it easier to have cross-referencable logs**:
- **Structured logging makes it easier to have cross-referenceable logs**:
Similarly to searchability, if you maintain conventions around your
keys, it becomes easy to gather all log lines related to a particular
concept.
- **Structured logs allow better dimensions of filtering**: if you have
structure to your logs, you've got more precise control over how much
information is logged -- you might choose in a particular configuration
to log certain keys but not others, only log lines where a certain key
matches a certain value, etc, instead of just having v-levels and names
matches a certain value, etc., instead of just having v-levels and names
to key off of.
- **Structured logs better represent structured data**: sometimes, the
data that you want to log is inherently structured (think tuple-link
objects). Structured logs allow you to preserve that structure when
objects.) Structured logs allow you to preserve that structure when
outputting.
## Why V-levels?
#### Why V-levels?
**V-levels give operators an easy way to control the chattiness of log
operations**. V-levels provide a way for a given package to distinguish
the relative importance or verbosity of a given log message. Then, if
a particular logger or package is logging too many messages, the user
of the package can simply change the v-levels for that library.
of the package can simply change the v-levels for that library.
## Why not more named levels, like Warning?
#### Why not named levels, like Info/Warning/Error?
Read [Dave Cheney's post][warning-makes-no-sense]. Then read [Differences
from Dave's ideas](#differences-from-daves-ideas).
## Why not allow format strings, too?
#### Why not allow format strings, too?
**Format strings negate many of the benefits of structured logs**:
- They're not easily searchable without resorting to fuzzy searching,
regular expressions, etc
regular expressions, etc.
- They don't store structured data well, since contents are flattened into
a string
a string.
- They're not cross-referencable
- They're not cross-referenceable.
- They don't compress easily, since the message is not constant
- They don't compress easily, since the message is not constant.
(unless you turn positional parameters into key-value pairs with numerical
(Unless you turn positional parameters into key-value pairs with numerical
keys, at which point you've gotten key-value logging with meaningless
keys)
keys.)
## Practical
### Practical
## Why key-value pairs, and not a map?
#### Why key-value pairs, and not a map?
Key-value pairs are *much* easier to optimize, especially around
allocations. Zap (a structured logger that inspired logr's interface) has
@ -117,26 +187,26 @@ While the interface ends up being a little less obvious, you get
potentially better performance, plus avoid making users type
`map[string]string{}` every time they want to log.
## What if my V-levels differ between libraries?
#### What if my V-levels differ between libraries?
That's fine. Control your V-levels on a per-logger basis, and use the
`WithName` function to pass different loggers to different libraries.
`WithName` method to pass different loggers to different libraries.
Generally, you should take care to ensure that you have relatively
consistent V-levels within a given logger, however, as this makes deciding
on what verbosity of logs to request easier.
## But I *really* want to use a format string!
#### But I really want to use a format string!
That's not actually a question. Assuming your question is "how do
I convert my mental model of logging with format strings to logging with
constant messages":
1. figure out what the error actually is, as you'd write in a TL;DR style,
and use that as a message
1. Figure out what the error actually is, as you'd write in a TL;DR style,
and use that as a message.
2. For every place you'd write a format specifier, look to the word before
it, and add that as a key value pair
it, and add that as a key value pair.
For instance, consider the following examples (all taken from spots in the
Kubernetes codebase):
@ -150,34 +220,59 @@ Kubernetes codebase):
response when requesting url", "attempt", retries, "after
seconds", seconds, "url", url)`
If you *really* must use a format string, place it as a key value, and
call `fmt.Sprintf` yourself -- for instance, `log.Printf("unable to
If you *really* must use a format string, use it in a key's value, and
call `fmt.Sprintf` yourself. For instance: `log.Printf("unable to
reflect over type %T")` becomes `logger.Info("unable to reflect over
type", "type", fmt.Sprintf("%T"))`. In general though, the cases where
this is necessary should be few and far between.
## How do I choose my V-levels?
#### How do I choose my V-levels?
This is basically the only hard constraint: increase V-levels to denote
more verbose or more debug-y logs.
Otherwise, you can start out with `0` as "you always want to see this",
`1` as "common logging that you might *possibly* want to turn off", and
`10` as "I would like to performance-test your log collection stack".
`10` as "I would like to performance-test your log collection stack."
Then gradually choose levels in between as you need them, working your way
down from 10 (for debug and trace style logs) and up from 1 (for chattier
info-type logs).
info-type logs.)
## How do I choose my keys
#### How do I choose my keys?
- make your keys human-readable
- constant keys are generally a good idea
- be consistent across your codebase
- keys should naturally match parts of the message string
Keys are fairly flexible, and can hold more or less any string
value. For best compatibility with implementations and consistency
with existing code in other projects, there are a few conventions you
should consider.
- Make your keys human-readable.
- Constant keys are generally a good idea.
- Be consistent across your codebase.
- Keys should naturally match parts of the message string.
- Use lower case for simple keys and
[lowerCamelCase](https://en.wiktionary.org/wiki/lowerCamelCase) for
more complex ones. Kubernetes is one example of a project that has
[adopted that
convention](https://github.com/kubernetes/community/blob/HEAD/contributors/devel/sig-instrumentation/migration-to-structured-logging.md#name-arguments).
While key names are mostly unrestricted (and spaces are acceptable),
it's generally a good idea to stick to printable ascii characters, or at
least match the general character set of your log lines.
#### Why should keys be constant values?
The point of structured logging is to make later log processing easier. Your
keys are, effectively, the schema of each log message. If you use different
keys across instances of the same log line, you will make your structured logs
much harder to use. `Sprintf()` is for values, not for keys!
#### Why is this not a pure interface?
The Logger type is implemented as a struct in order to allow the Go compiler to
optimize things like high-V `Info` logs that are not triggered. Not all of
these implementations are implemented yet, but this structure was suggested as
a way to ensure they *can* be implemented. All of the real work is behind the
`LogSink` interface.
[warning-makes-no-sense]: http://dave.cheney.net/2015/11/05/lets-talk-about-logging

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@ -16,36 +16,39 @@ limitations under the License.
package logr
// Discard returns a valid Logger that discards all messages logged to it.
// It can be used whenever the caller is not interested in the logs.
// Discard returns a Logger that discards all messages logged to it. It can be
// used whenever the caller is not interested in the logs. Logger instances
// produced by this function always compare as equal.
func Discard() Logger {
return DiscardLogger{}
return Logger{
level: 0,
sink: discardLogSink{},
}
}
// DiscardLogger is a Logger that discards all messages.
type DiscardLogger struct{}
// discardLogSink is a LogSink that discards all messages.
type discardLogSink struct{}
func (l DiscardLogger) Enabled() bool {
// Verify that it actually implements the interface
var _ LogSink = discardLogSink{}
func (l discardLogSink) Init(RuntimeInfo) {
}
func (l discardLogSink) Enabled(int) bool {
return false
}
func (l DiscardLogger) Info(msg string, keysAndValues ...interface{}) {
func (l discardLogSink) Info(int, string, ...interface{}) {
}
func (l DiscardLogger) Error(err error, msg string, keysAndValues ...interface{}) {
func (l discardLogSink) Error(error, string, ...interface{}) {
}
func (l DiscardLogger) V(level int) Logger {
func (l discardLogSink) WithValues(...interface{}) LogSink {
return l
}
func (l DiscardLogger) WithValues(keysAndValues ...interface{}) Logger {
func (l discardLogSink) WithName(string) LogSink {
return l
}
func (l DiscardLogger) WithName(name string) Logger {
return l
}
// Verify that it actually implements the interface
var _ Logger = DiscardLogger{}

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module github.com/go-logr/logr
go 1.14
go 1.16

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@ -16,83 +16,101 @@ limitations under the License.
// This design derives from Dave Cheney's blog:
// http://dave.cheney.net/2015/11/05/lets-talk-about-logging
//
// This is a BETA grade API. Until there is a significant 2nd implementation,
// I don't really know how it will change.
// Package logr defines abstract interfaces for logging. Packages can depend on
// these interfaces and callers can implement logging in whatever way is
// appropriate.
// Package logr defines a general-purpose logging API and abstract interfaces
// to back that API. Packages in the Go ecosystem can depend on this package,
// while callers can implement logging with whatever backend is appropriate.
//
// Usage
//
// Logging is done using a Logger. Loggers can have name prefixes and named
// values attached, so that all log messages logged with that Logger have some
// base context associated.
// Logging is done using a Logger instance. Logger is a concrete type with
// methods, which defers the actual logging to a LogSink interface. The main
// methods of Logger are Info() and Error(). Arguments to Info() and Error()
// are key/value pairs rather than printf-style formatted strings, emphasizing
// "structured logging".
//
// The term "key" is used to refer to the name associated with a particular
// value, to disambiguate it from the general Logger name.
// With Go's standard log package, we might write:
// log.Printf("setting target value %s", targetValue)
//
// For instance, suppose we're trying to reconcile the state of an object, and
// we want to log that we've made some decision.
// With logr's structured logging, we'd write:
// logger.Info("setting target", "value", targetValue)
//
// With the traditional log package, we might write:
// Errors are much the same. Instead of:
// log.Printf("failed to open the pod bay door for user %s: %v", user, err)
//
// We'd write:
// logger.Error(err, "failed to open the pod bay door", "user", user)
//
// Info() and Error() are very similar, but they are separate methods so that
// LogSink implementations can choose to do things like attach additional
// information (such as stack traces) on calls to Error().
//
// Verbosity
//
// Often we want to log information only when the application in "verbose
// mode". To write log lines that are more verbose, Logger has a V() method.
// The higher the V-level of a log line, the less critical it is considered.
// Log-lines with V-levels that are not enabled (as per the LogSink) will not
// be written. Level V(0) is the default, and logger.V(0).Info() has the same
// meaning as logger.Info(). Negative V-levels have the same meaning as V(0).
//
// Where we might have written:
// if flVerbose >= 2 {
// log.Printf("an unusual thing happened")
// }
//
// We can write:
// logger.V(2).Info("an unusual thing happened")
//
// Logger Names
//
// Logger instances can have name strings so that all messages logged through
// that instance have additional context. For example, you might want to add
// a subsystem name:
//
// logger.WithName("compactor").Info("started", "time", time.Now())
//
// The WithName() method returns a new Logger, which can be passed to
// constructors or other functions for further use. Repeated use of WithName()
// will accumulate name "segments". These name segments will be joined in some
// way by the LogSink implementation. It is strongly recommended that name
// segments contain simple identifiers (letters, digits, and hyphen), and do
// not contain characters that could muddle the log output or confuse the
// joining operation (e.g. whitespace, commas, periods, slashes, brackets,
// quotes, etc).
//
// Saved Values
//
// Logger instances can store any number of key/value pairs, which will be
// logged alongside all messages logged through that instance. For example,
// you might want to create a Logger instance per managed object:
//
// With the standard log package, we might write:
// log.Printf("decided to set field foo to value %q for object %s/%s",
// targetValue, object.Namespace, object.Name)
//
// With logr's structured logging, we'd write:
// // elsewhere in the file, set up the logger to log with the prefix of
// // "reconcilers", and the named value target-type=Foo, for extra context.
// log := mainLogger.WithName("reconcilers").WithValues("target-type", "Foo")
// With logr we'd write:
// // Elsewhere: set up the logger to log the object name.
// obj.logger = mainLogger.WithValues(
// "name", obj.name, "namespace", obj.namespace)
//
// // later on...
// log.Info("setting foo on object", "value", targetValue, "object", object)
// obj.logger.Info("setting foo", "value", targetValue)
//
// Depending on our logging implementation, we could then make logging decisions
// based on field values (like only logging such events for objects in a certain
// namespace), or copy the structured information into a structured log store.
// Best Practices
//
// For logging errors, Logger has a method called Error. Suppose we wanted to
// log an error while reconciling. With the traditional log package, we might
// write:
// log.Errorf("unable to reconcile object %s/%s: %v", object.Namespace, object.Name, err)
//
// With logr, we'd instead write:
// // assuming the above setup for log
// log.Error(err, "unable to reconcile object", "object", object)
//
// This functions similarly to:
// log.Info("unable to reconcile object", "error", err, "object", object)
//
// However, it ensures that a standard key for the error value ("error") is used
// across all error logging. Furthermore, certain implementations may choose to
// attach additional information (such as stack traces) on calls to Error, so
// it's preferred to use Error to log errors.
//
// Parts of a log line
//
// Each log message from a Logger has four types of context:
// logger name, log verbosity, log message, and the named values.
//
// The Logger name consists of a series of name "segments" added by successive
// calls to WithName. These name segments will be joined in some way by the
// underlying implementation. It is strongly recommended that name segments
// contain simple identifiers (letters, digits, and hyphen), and do not contain
// characters that could muddle the log output or confuse the joining operation
// (e.g. whitespace, commas, periods, slashes, brackets, quotes, etc).
//
// Log verbosity represents how little a log matters. Level zero, the default,
// matters most. Increasing levels matter less and less. Try to avoid lots of
// different verbosity levels, and instead provide useful keys, logger names,
// and log messages for users to filter on. It's illegal to pass a log level
// below zero.
// Logger has very few hard rules, with the goal that LogSink implementations
// might have a lot of freedom to differentiate. There are, however, some
// things to consider.
//
// The log message consists of a constant message attached to the log line.
// This should generally be a simple description of what's occurring, and should
// never be a format string.
// never be a format string. Variable information can then be attached using
// named values.
//
// Variable information can then be attached using named values (key/value
// pairs). Keys are arbitrary strings, while values may be any Go value.
// Keys are arbitrary strings, but should generally be constant values. Values
// may be any Go value, but how the value is formatted is determined by the
// LogSink implementation.
//
// Key Naming Conventions
//
@ -102,6 +120,7 @@ limitations under the License.
// * be constant (not dependent on input data)
// * contain only printable characters
// * not contain whitespace or punctuation
// * use lower case for simple keys and lowerCamelCase for more complex ones
//
// These guidelines help ensure that log data is processed properly regardless
// of the log implementation. For example, log implementations will try to
@ -110,21 +129,22 @@ limitations under the License.
// While users are generally free to use key names of their choice, it's
// generally best to avoid using the following keys, as they're frequently used
// by implementations:
//
// * `"caller"`: the calling information (file/line) of a particular log line.
// * `"error"`: the underlying error value in the `Error` method.
// * `"level"`: the log level.
// * `"logger"`: the name of the associated logger.
// * `"msg"`: the log message.
// * `"stacktrace"`: the stack trace associated with a particular log line or
// error (often from the `Error` message).
// * `"ts"`: the timestamp for a log line.
// * "caller": the calling information (file/line) of a particular log line
// * "error": the underlying error value in the `Error` method
// * "level": the log level
// * "logger": the name of the associated logger
// * "msg": the log message
// * "stacktrace": the stack trace associated with a particular log line or
// error (often from the `Error` message)
// * "ts": the timestamp for a log line
//
// Implementations are encouraged to make use of these keys to represent the
// above concepts, when necessary (for example, in a pure-JSON output form, it
// would be necessary to represent at least message and timestamp as ordinary
// named values).
//
// Break Glass
//
// Implementations may choose to give callers access to the underlying
// logging implementation. The recommended pattern for this is:
// // Underlier exposes access to the underlying logging implementation.
@ -134,81 +154,220 @@ limitations under the License.
// type Underlier interface {
// GetUnderlying() <underlying-type>
// }
//
// Logger grants access to the sink to enable type assertions like this:
// func DoSomethingWithImpl(log logr.Logger) {
// if underlier, ok := log.GetSink()(impl.Underlier) {
// implLogger := underlier.GetUnderlying()
// ...
// }
// }
//
// Custom `With*` functions can be implemented by copying the complete
// Logger struct and replacing the sink in the copy:
// // WithFooBar changes the foobar parameter in the log sink and returns a
// // new logger with that modified sink. It does nothing for loggers where
// // the sink doesn't support that parameter.
// func WithFoobar(log logr.Logger, foobar int) logr.Logger {
// if foobarLogSink, ok := log.GetSink()(FoobarSink); ok {
// log = log.WithSink(foobarLogSink.WithFooBar(foobar))
// }
// return log
// }
//
// Don't use New to construct a new Logger with a LogSink retrieved from an
// existing Logger. Source code attribution might not work correctly and
// unexported fields in Logger get lost.
//
// Beware that the same LogSink instance may be shared by different logger
// instances. Calling functions that modify the LogSink will affect all of
// those.
package logr
import (
"context"
)
// TODO: consider adding back in format strings if they're really needed
// TODO: consider other bits of zap/zapcore functionality like ObjectMarshaller (for arbitrary objects)
// TODO: consider other bits of glog functionality like Flush, OutputStats
// Logger represents the ability to log messages, both errors and not.
type Logger interface {
// Enabled tests whether this Logger is enabled. For example, commandline
// flags might be used to set the logging verbosity and disable some info
// logs.
Enabled() bool
// Info logs a non-error message with the given key/value pairs as context.
//
// The msg argument should be used to add some constant description to
// the log line. The key/value pairs can then be used to add additional
// variable information. The key/value pairs should alternate string
// keys and arbitrary values.
Info(msg string, keysAndValues ...interface{})
// Error logs an error, with the given message and key/value pairs as context.
// It functions similarly to calling Info with the "error" named value, but may
// have unique behavior, and should be preferred for logging errors (see the
// package documentations for more information).
//
// The msg field should be used to add context to any underlying error,
// while the err field should be used to attach the actual error that
// triggered this log line, if present.
Error(err error, msg string, keysAndValues ...interface{})
// V returns an Logger value for a specific verbosity level, relative to
// this Logger. In other words, V values are additive. V higher verbosity
// level means a log message is less important. It's illegal to pass a log
// level less than zero.
V(level int) Logger
// WithValues adds some key-value pairs of context to a logger.
// See Info for documentation on how key/value pairs work.
WithValues(keysAndValues ...interface{}) Logger
// WithName adds a new element to the logger's name.
// Successive calls with WithName continue to append
// suffixes to the logger's name. It's strongly recommended
// that name segments contain only letters, digits, and hyphens
// (see the package documentation for more information).
WithName(name string) Logger
// New returns a new Logger instance. This is primarily used by libraries
// implementing LogSink, rather than end users.
func New(sink LogSink) Logger {
logger := Logger{}
logger.setSink(sink)
sink.Init(runtimeInfo)
return logger
}
// InfoLogger provides compatibility with code that relies on the v0.1.0
// interface.
//
// Deprecated: InfoLogger is an artifact of early versions of this API. New
// users should never use it and existing users should use Logger instead. This
// will be removed in a future release.
type InfoLogger = Logger
// setSink stores the sink and updates any related fields. It mutates the
// logger and thus is only safe to use for loggers that are not currently being
// used concurrently.
func (l *Logger) setSink(sink LogSink) {
l.sink = sink
}
// GetSink returns the stored sink.
func (l Logger) GetSink() LogSink {
return l.sink
}
// WithSink returns a copy of the logger with the new sink.
func (l Logger) WithSink(sink LogSink) Logger {
l.setSink(sink)
return l
}
// Logger is an interface to an abstract logging implementation. This is a
// concrete type for performance reasons, but all the real work is passed on to
// a LogSink. Implementations of LogSink should provide their own constructors
// that return Logger, not LogSink.
//
// The underlying sink can be accessed through GetSink and be modified through
// WithSink. This enables the implementation of custom extensions (see "Break
// Glass" in the package documentation). Normally the sink should be used only
// indirectly.
type Logger struct {
sink LogSink
level int
}
// Enabled tests whether this Logger is enabled. For example, commandline
// flags might be used to set the logging verbosity and disable some info logs.
func (l Logger) Enabled() bool {
return l.sink.Enabled(l.level)
}
// Info logs a non-error message with the given key/value pairs as context.
//
// The msg argument should be used to add some constant description to the log
// line. The key/value pairs can then be used to add additional variable
// information. The key/value pairs must alternate string keys and arbitrary
// values.
func (l Logger) Info(msg string, keysAndValues ...interface{}) {
if l.Enabled() {
if withHelper, ok := l.sink.(CallStackHelperLogSink); ok {
withHelper.GetCallStackHelper()()
}
l.sink.Info(l.level, msg, keysAndValues...)
}
}
// Error logs an error, with the given message and key/value pairs as context.
// It functions similarly to Info, but may have unique behavior, and should be
// preferred for logging errors (see the package documentations for more
// information).
//
// The msg argument should be used to add context to any underlying error,
// while the err argument should be used to attach the actual error that
// triggered this log line, if present.
func (l Logger) Error(err error, msg string, keysAndValues ...interface{}) {
if withHelper, ok := l.sink.(CallStackHelperLogSink); ok {
withHelper.GetCallStackHelper()()
}
l.sink.Error(err, msg, keysAndValues...)
}
// V returns a new Logger instance for a specific verbosity level, relative to
// this Logger. In other words, V-levels are additive. A higher verbosity
// level means a log message is less important. Negative V-levels are treated
// as 0.
func (l Logger) V(level int) Logger {
if level < 0 {
level = 0
}
l.level += level
return l
}
// WithValues returns a new Logger instance with additional key/value pairs.
// See Info for documentation on how key/value pairs work.
func (l Logger) WithValues(keysAndValues ...interface{}) Logger {
l.setSink(l.sink.WithValues(keysAndValues...))
return l
}
// WithName returns a new Logger instance with the specified name element added
// to the Logger's name. Successive calls with WithName append additional
// suffixes to the Logger's name. It's strongly recommended that name segments
// contain only letters, digits, and hyphens (see the package documentation for
// more information).
func (l Logger) WithName(name string) Logger {
l.setSink(l.sink.WithName(name))
return l
}
// WithCallDepth returns a Logger instance that offsets the call stack by the
// specified number of frames when logging call site information, if possible.
// This is useful for users who have helper functions between the "real" call
// site and the actual calls to Logger methods. If depth is 0 the attribution
// should be to the direct caller of this function. If depth is 1 the
// attribution should skip 1 call frame, and so on. Successive calls to this
// are additive.
//
// If the underlying log implementation supports a WithCallDepth(int) method,
// it will be called and the result returned. If the implementation does not
// support CallDepthLogSink, the original Logger will be returned.
//
// To skip one level, WithCallStackHelper() should be used instead of
// WithCallDepth(1) because it works with implementions that support the
// CallDepthLogSink and/or CallStackHelperLogSink interfaces.
func (l Logger) WithCallDepth(depth int) Logger {
if withCallDepth, ok := l.sink.(CallDepthLogSink); ok {
l.setSink(withCallDepth.WithCallDepth(depth))
}
return l
}
// WithCallStackHelper returns a new Logger instance that skips the direct
// caller when logging call site information, if possible. This is useful for
// users who have helper functions between the "real" call site and the actual
// calls to Logger methods and want to support loggers which depend on marking
// each individual helper function, like loggers based on testing.T.
//
// In addition to using that new logger instance, callers also must call the
// returned function.
//
// If the underlying log implementation supports a WithCallDepth(int) method,
// WithCallDepth(1) will be called to produce a new logger. If it supports a
// WithCallStackHelper() method, that will be also called. If the
// implementation does not support either of these, the original Logger will be
// returned.
func (l Logger) WithCallStackHelper() (func(), Logger) {
var helper func()
if withCallDepth, ok := l.sink.(CallDepthLogSink); ok {
l.setSink(withCallDepth.WithCallDepth(1))
}
if withHelper, ok := l.sink.(CallStackHelperLogSink); ok {
helper = withHelper.GetCallStackHelper()
} else {
helper = func() {}
}
return helper, l
}
// contextKey is how we find Loggers in a context.Context.
type contextKey struct{}
// FromContext returns a Logger constructed from ctx or nil if no
// logger details are found.
func FromContext(ctx context.Context) Logger {
// FromContext returns a Logger from ctx or an error if no Logger is found.
func FromContext(ctx context.Context) (Logger, error) {
if v, ok := ctx.Value(contextKey{}).(Logger); ok {
return v
return v, nil
}
return nil
return Logger{}, notFoundError{}
}
// FromContextOrDiscard returns a Logger constructed from ctx or a Logger
// that discards all messages if no logger details are found.
// notFoundError exists to carry an IsNotFound method.
type notFoundError struct{}
func (notFoundError) Error() string {
return "no logr.Logger was present"
}
func (notFoundError) IsNotFound() bool {
return true
}
// FromContextOrDiscard returns a Logger from ctx. If no Logger is found, this
// returns a Logger that discards all log messages.
func FromContextOrDiscard(ctx context.Context) Logger {
if v, ok := ctx.Value(contextKey{}).(Logger); ok {
return v
@ -217,12 +376,59 @@ func FromContextOrDiscard(ctx context.Context) Logger {
return Discard()
}
// NewContext returns a new context derived from ctx that embeds the Logger.
func NewContext(ctx context.Context, l Logger) context.Context {
return context.WithValue(ctx, contextKey{}, l)
// NewContext returns a new Context, derived from ctx, which carries the
// provided Logger.
func NewContext(ctx context.Context, logger Logger) context.Context {
return context.WithValue(ctx, contextKey{}, logger)
}
// CallDepthLogger represents a Logger that knows how to climb the call stack
// RuntimeInfo holds information that the logr "core" library knows which
// LogSinks might want to know.
type RuntimeInfo struct {
// CallDepth is the number of call frames the logr library adds between the
// end-user and the LogSink. LogSink implementations which choose to print
// the original logging site (e.g. file & line) should climb this many
// additional frames to find it.
CallDepth int
}
// runtimeInfo is a static global. It must not be changed at run time.
var runtimeInfo = RuntimeInfo{
CallDepth: 1,
}
// LogSink represents a logging implementation. End-users will generally not
// interact with this type.
type LogSink interface {
// Init receives optional information about the logr library for LogSink
// implementations that need it.
Init(info RuntimeInfo)
// Enabled tests whether this LogSink is enabled at the specified V-level.
// For example, commandline flags might be used to set the logging
// verbosity and disable some info logs.
Enabled(level int) bool
// Info logs a non-error message with the given key/value pairs as context.
// The level argument is provided for optional logging. This method will
// only be called when Enabled(level) is true. See Logger.Info for more
// details.
Info(level int, msg string, keysAndValues ...interface{})
// Error logs an error, with the given message and key/value pairs as
// context. See Logger.Error for more details.
Error(err error, msg string, keysAndValues ...interface{})
// WithValues returns a new LogSink with additional key/value pairs. See
// Logger.WithValues for more details.
WithValues(keysAndValues ...interface{}) LogSink
// WithName returns a new LogSink with the specified name appended. See
// Logger.WithName for more details.
WithName(name string) LogSink
}
// CallDepthLogSink represents a Logger that knows how to climb the call stack
// to identify the original call site and can offset the depth by a specified
// number of frames. This is useful for users who have helper functions
// between the "real" call site and the actual calls to Logger methods.
@ -232,35 +438,59 @@ func NewContext(ctx context.Context, l Logger) context.Context {
//
// This is an optional interface and implementations are not required to
// support it.
type CallDepthLogger interface {
Logger
// WithCallDepth returns a Logger that will offset the call stack by the
// specified number of frames when logging call site information. If depth
// is 0 the attribution should be to the direct caller of this method. If
// depth is 1 the attribution should skip 1 call frame, and so on.
type CallDepthLogSink interface {
// WithCallDepth returns a LogSink that will offset the call
// stack by the specified number of frames when logging call
// site information.
//
// If depth is 0, the LogSink should skip exactly the number
// of call frames defined in RuntimeInfo.CallDepth when Info
// or Error are called, i.e. the attribution should be to the
// direct caller of Logger.Info or Logger.Error.
//
// If depth is 1 the attribution should skip 1 call frame, and so on.
// Successive calls to this are additive.
WithCallDepth(depth int) Logger
WithCallDepth(depth int) LogSink
}
// WithCallDepth returns a Logger that will offset the call stack by the
// specified number of frames when logging call site information, if possible.
// This is useful for users who have helper functions between the "real" call
// site and the actual calls to Logger methods. If depth is 0 the attribution
// should be to the direct caller of this function. If depth is 1 the
// attribution should skip 1 call frame, and so on. Successive calls to this
// are additive.
// CallStackHelperLogSink represents a Logger that knows how to climb
// the call stack to identify the original call site and can skip
// intermediate helper functions if they mark themselves as
// helper. Go's testing package uses that approach.
//
// If the underlying log implementation supports the CallDepthLogger interface,
// the WithCallDepth method will be called and the result returned. If the
// implementation does not support CallDepthLogger, the original Logger will be
// returned.
// This is useful for users who have helper functions between the
// "real" call site and the actual calls to Logger methods.
// Implementations that log information about the call site (such as
// file, function, or line) would otherwise log information about the
// intermediate helper functions.
//
// Callers which care about whether this was supported or not should test for
// CallDepthLogger support themselves.
func WithCallDepth(logger Logger, depth int) Logger {
if decorator, ok := logger.(CallDepthLogger); ok {
return decorator.WithCallDepth(depth)
}
return logger
// This is an optional interface and implementations are not required
// to support it. Implementations that choose to support this must not
// simply implement it as WithCallDepth(1), because
// Logger.WithCallStackHelper will call both methods if they are
// present. This should only be implemented for LogSinks that actually
// need it, as with testing.T.
type CallStackHelperLogSink interface {
// GetCallStackHelper returns a function that must be called
// to mark the direct caller as helper function when logging
// call site information.
GetCallStackHelper() func()
}
// Marshaler is an optional interface that logged values may choose to
// implement. Loggers with structured output, such as JSON, should
// log the object return by the MarshalLog method instead of the
// original value.
type Marshaler interface {
// MarshalLog can be used to:
// - ensure that structs are not logged as strings when the original
// value has a String method: return a different type without a
// String method
// - select which fields of a complex type should get logged:
// return a simpler struct with fewer fields
// - log unexported fields: return a different struct
// with exported fields
//
// It may return any value of any type.
MarshalLog() interface{}
}