juju introspection #0

Supports: xenial

Add to new model

Description

An HTTP service to introspection Juju controllers and agents.

This charm manages an HTTP service that proxies through to
the Juju introspection sockets. Each agent on the same
machine as the HTTP service can be queried using the agent's
tag, e.g. /agents/machine-0/metrics.

This charm can relate to Prometheus, keeping track of agents
on the machine, and publishing their metrics endpoints.


Overview

This is the base layer for all charms built using layers. It
provides all of the standard Juju hooks and runs the
charms.reactive.main loop for them. It also bootstraps the charm-helpers and charms.reactive libraries and all of their dependencies for use by the charm.

Usage

To create a charm layer using this base layer, you need only include it in
a layer.yaml file:

yaml includes: ['layer:basic']

This will fetch this layer from interfaces.juju.solutions and incorporate
it into your charm layer. You can then add handlers under the reactive/
directory. Note that any file under reactive/ will be expected to
contain handlers, whether as Python decorated functions or executables
using the external handler protocol.

Charm Dependencies

Each layer can include a wheelhouse.txt file with Python requirement lines.
For example, this layer's wheelhouse.txt includes:

pip>=7.0.0,<8.0.0 charmhelpers>=0.4.0,<1.0.0 charms.reactive>=0.1.0,<2.0.0

All of these dependencies from each layer will be fetched (and updated) at build
time and will be automatically installed by this base layer before any reactive
handlers are run.

Note that the wheelhouse.txt file is intended for charm dependencies only.
That is, for libraries that the charm code itself needs to do its job of deploying
and configuring the payload. If the payload itself has Python dependencies, those
should be handled separately, by the charm.

See PyPI for packages under the charms. namespace which might
be useful for your charm.

Layer Namespace

Each layer has a reserved section in the charms.layer. Python package namespace,
which it can populate by including a lib/charms/layer/<layer-name>.py file or
by placing files under lib/charms/layer/<layer-name>/. (If the layer name
includes hyphens, replace them with underscores.) These can be helpers that the
layer uses internally, or it can expose classes or functions to be used by other
layers to interact with that layer.

For example, a layer named foo could include a lib/charms/layer/foo.py file
with some helper functions that other layers could access using:

python from charms.layer.foo import my_helper

Layer Options

Any layer can define options in its layer.yaml. Those options can then be set
by other layers to change the behavior of your layer. The options are defined
using jsonschema, which is the same way that action paramters are defined.

For example, the foo layer could include the following option definitons:

yaml includes: ['layer:basic'] defines: # define some options for this layer (the layer "foo") enable-bar: # define an "enable-bar" option for this layer description: If true, enable support for "bar". type: boolean default: false

A layer using foo could then set it:

yaml includes: ['layer:foo'] options: foo: # setting options for the "foo" layer enable-bar: true # set the "enable-bar" option to true

The foo layer can then use the charms.layer.options helper to load the values
for the options that it defined. For example:

```python from charms import layer

@when('state') def do_thing():
layer_opts = layer.options('foo') # load all of the options for the "foo" layer if layer_opts['enable-bar']: # check the value of the "enable-bar" option hookenv.log("Bar is enabled") ```

You can also access layer options in other handlers, such as Bash, using
the command-line interface:

```bash . charms.reactive.sh

@when 'state' function do_thing() {
if layer_option foo enable-bar; then juju-log "Bar is enabled" juju-log "bar-value is: $(layer_option foo bar-value)" fi }

reactive_handler_main
```

Note that options of type boolean will set the exit code, while other types
will be printed out.

Hooks

This layer provides hooks that other layers can react to using the decorators
of the charms.reactive library:

  • config-changed
  • install
  • leader-elected
  • leader-settings-changed
  • start
  • stop
  • upgrade-charm
  • update-status

Other hooks are not implemented at this time. A new layer can implement storage
or relation hooks in their own layer by putting them in the hooks directory.

Note: Because update-status is invoked every 5 minutes, you should take care to ensure that your reactive handlers only invoke expensive operations
when absolutely necessary. It is recommended that you use helpers like
[@only_once][], [@when_file_changed][], and [data_changed][] to ensure that handlers run only when necessary.

Layer Configuration

This layer supports the following options, which can be set in layer.yaml:

  • packages A list of system packages to be installed before the reactive handlers are invoked.

  • use_venv If set to true, the charm dependencies from the various layers' wheelhouse.txt files will be installed in a Python virtualenv located at $CHARM_DIR/../.venv. This keeps charm dependencies from conflicting with payload dependencies, but you must take care to preserve the environment and interpreter if using execl or subprocess.

  • include_system_packages If set to true and using a venv, include the --system-site-packages options to make system Python libraries visible within the venv.

An example layer.yaml using these options might be:

yaml includes: ['layer:basic'] options: basic: packages: ['git'] use_venv: true include_system_packages: true

Reactive States

This layer will set the following states:

  • config.changed Any config option has changed from its previous value. This state is cleared automatically at the end of each hook invocation.

  • config.changed.<option> A specific config option has changed. <option> will be replaced by the config option name from config.yaml. This state is cleared automatically at the end of each hook invocation.

  • config.set.<option> A specific config option has a True or non-empty value set. <option> will be replaced by the config option name from config.yaml. This state is cleared automatically at the end of each hook invocation.

  • config.default.<option> A specific config option is set to its default value. <option> will be replaced by the config option name from config.yaml. This state is cleared automatically at the end of each hook invocation.

An example using the config states would be:

python @when('config.changed.my-opt') def my_opt_changed(): update_config() restart_service()

Actions

This layer currently does not define any actions.


Configuration

port
(int) Port to expose the introspection service on.
19090