Exonum Dynamic Service Launcher is a tool to manage the lifecycle of the Exonum services.
This tool is capable of deploying artifacts, managing running services, and changing the configuration of the Exonum blockchain.
usage: exonum_launcher [-h] -i INPUT [-r RUNTIMES [RUNTIMES ...]]
[--runtime-parsers RUNTIME_PARSERS [RUNTIME_PARSERS ...]]
[--instance-parsers INSTANCE_PARSERS [INSTANCE_PARSERS ...]]
Exonum service launcher
optional arguments:
-h, --help show this help message and exit
-i INPUT, --input INPUT
A path to yaml input for service initialization
-r RUNTIMES [RUNTIMES ...], --runtimes RUNTIMES [RUNTIMES ...]
Additional runtimes, e.g. `--runtimes java=1 python=2
wasm=3`
--runtime-parsers RUNTIME_PARSERS [RUNTIME_PARSERS ...]
Runtime spec parsers, e.g. `--runtime-parsers
python=your_module.YourRuntimeSpecLoader` Values will
be imported and treated like SpecLoader, so ensure
that module with loader is in `sys.path`.
--instance-parsers INSTANCE_PARSERS [INSTANCE_PARSERS ...]
Instance spec parsers, e.g. `--runtime-parsers
python=your_module.YourInstanceSpecLoader` Values will
be imported and treated like InstanceSpecLoader, so
ensure that module with loader is in `sys.path`.
So, if you want to run exonum-launcher
with Rust runtime only and without custom artifact spec loaders, you can just use:
python3 -m exonum_launcher -i sample.yml
If you want to use exonum-launcher
with Python runtime and Python runtime spec loader, the command will be:
python3 -m exonum_launcher --runtimes python=2 --runtime-parsers python=exonum_launcher.runtimes.python.PythonSpecLoader -i sample.yml
Example of expected yaml
file:
networks:
- host: "127.0.0.1"
ssl: false
public-api-port: 8080
private-api-port: 8081
deadline_height: 10000
artifacts:
cryptocurrency:
runtime: rust
name: "exonum-cryptocurrency-advanced:0.1.0"
action: deploy
# Example of artifact that should not be deployed
example_artifact:
runtime: rust
name: "exonum-cryptocurrency-advanced:0.1.0"
instances:
xnm-token:
artifact: cryptocurrency
action: start
config: []
nnm-token:
artifact: "cryptocurrency"
action: start
config: []
some-instance:
# Since we will not deploy `example_artifact`, it is assumed that it is already deployed
artifact: "example_artifact"
action: start
config:
val_a: "123"
val_b: 345
action
field in the artifacts
section can be one of the following:
deploy
- to deploy an artifact.unload
- to unload deployed artifact.none
- to do nothing (default action).
action
field in the instances
section can be one of the following:
start
- to start a new instance (default action);config
- to change a configuration of existing service (only insimple
supervisor mode!);stop
- to stop a running service.freeze
- to freeze a running service.resume
- to resume a frozen or stopped service.
Important: if you have more than one validator in the network, ensure that connection data
(networks
section of the config) is specified for every validator.
Deploy&init process requires requests to be sent to each validator, so don't expect that transaction broadcast mechanism will work here.
If supervisor works in the simple
mode, it's also possible to change consensus config
by providing a consensus
field in the config, for example:
consensus:
validator_keys:
- ["1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a1a",
"2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b2b"]
first_round_timeout: 100
status_timeout: 100
peers_timeout: 100
txs_block_limit: 100
max_message_len: 100
min_propose_timeout: 100
max_propose_timeout: 100
propose_timeout_threshold: 100
You can define custom runtimes and plugins in the config (so you won't have to provide them from command line):
runtimes:
python: 2
plugins:
runtime:
python: "exonum_launcher.runtimes.python.PythonSpecLoader"
artifact: {}
See samples
folder for more examples.
pip install exonum-launcher --no-binary=protobuf
Apache 2.0 - see LICENSE for more information.