Expand description
A lightweight, fast, tiny, extensiable workflow engine
§Acts workflow engine
Acts is a fast, lightweight, extensiable workflow engine that executes workflows defined in YAML format.
Unlike traditional workflow engines (such as BPMN). Acts uses a message-driven architecture to execute and distribute messages.
Acts uses Step, Branch, Act to build the workflow. Step and Branch are the workflow stucture to run in sequence or to step into different branch by condition. Act is responsible for the action execution.
§Key Features
§Fast
Write in Rust, No virtual machine.
- bechmark with memory store
load time: [57.334 µs 61.745 µs 66.755 µs]
deploy time: [21.323 µs 23.811 µs 26.829 µs]
start time: [80.320 µs 82.188 µs 84.336 µs]
act time: [601.40 µs 636.69 µs 674.49 µs]
§Lightweight
The lib size is about 4.6mb now.
§Extensiable
-
store collection extension support creating external store, please refer to the code under
store/sqlite
. -
pakcage extension support creating custom package, please refer to the code under
example/pakcage
.
§Installation
The easiest way to get the latest version of acts
is to install it via cargo
cargo add acts
§Quickstart
- Create and start the workflow engine by
engine.new()
. - Load a yaml model to create a
workflow
. - Deploy the model in step 2 by
engine.executor().model()
. - Config events by
engine.channel()
. - Start the workflow by
engine.executor().model()
.
use acts::{Engine, Vars, Workflow};
#[tokio::main]
async fn main() {
let engine = Engine::new().start();
// create yaml workflow model
let model = r#"
id: my_model
name: my model
outputs:
a:
steps:
- name: step 1
acts:
- uses: acts.transform.set
params:
a: 10
- name: step 2
acts:
- uses: acts.transform.code
params: |
return { a: a + 10 };
"#;
let workflow = Workflow::from_yml(model).unwrap();
let executor = engine.executor();
executor.model().deploy(&workflow).expect("fail to deploy workflow");
let mut vars = Vars::new();
// set the input value
vars.insert("a".into(), 0.into());
// set the pid or auto generate by engine
vars.insert("pid".to_string(), "w1".into());
// start workflow by model id
executor.proc().start(&workflow.id, &vars).expect("fail to start workflow");
// create channel to receive messages
let chan = engine.channel();
chan.on_start(|e| {
println!("start: {}", e.start_time);
});
chan.on_message(|e| {
println!("message: {:?}", e);
});
chan.on_complete(|e| {
println!("outputs: {:?} end_time: {}", e.outputs, e.end_time);
});
chan.on_error(|e| {
println!("error on proc id: {} model id: {}", e.pid, e.model.id);
});
}
§Examples
Please see examples
§Model Usage
The model is a yaml format file. where there are different type of node, including Workflow
, Branch
, Step
and Act
.
name: model name
# workflow.inputs are the global vars
inputs:
value: 0
# the event to start the workflow
on:
- id: event1
uses: acts.event.manual
# workflow steps
steps:
- name: step 1
# execute by act
acts:
# init with interrupt request to client
# and make sure complete the action with 'list' var
- name: init
uses: acts.core.irq
outputs:
list:
- name: step 2
# workflow branches to run by condition
branches:
- name: branch 1
if: value > 100
steps:
- name: step 3
acts:
- name: send a message
uses: acts.core.msg
- name: branch 2
if: value <= 100
steps:
- name: step 4
acts:
- name: parallel send irq request
uses: acts.core.parallel
params:
in: '{{ list }}'
acts:
- uses: acts.core.irq
- name: final step
§Inputs
In the Workflow
, you can set the inputs
to init the workflow vars.
name: model name
inputs:
a: 100
steps:
- name: step1
acts:
- uses: acts.transform.code
params: |
// get the a variable
let v = a + 100;
// do somthing else
The inputs can also be set by starting the workflow.
use acts::{Engine, Vars, Workflow};
#[tokio::main]
async fn main() {
let engine = Engine::new().start();
let executor = engine.executor();
let mut vars = Vars::new();
vars.insert("input".into(), 3.into());
vars.insert("pid".to_string(), "w2".into());
executor.proc().start("m1", &vars);
}
§Outputs
In the Workflow
, you can set the outputs
to output the env to use.
name: model name
outputs:
output_key:
steps:
- name: step1
acts:
- uses: acts.transform.set
params:
output_key: 100
outputs:
output_key:
§Setup
In workflow
node, you can setup act event by setup
.
The act msg
is to send a message to client.
For more acts, please see the comments as follow:
name: model name
steps:
- name: step 1
acts:
- uses: acts.transform.set
params:
a: ['u1', 'u2']
v: 10
- uses: acts.core.msg
if: v > 0
key: msg1
setup:
# on step created
- uses: acts.core.msg
on: created
key: msg3
# on workflow completed
- uses: acts.core.msg
on: completed
key: msg4
# on act created
- uses: acts.core.msg
on: before_update
key: msg5
# on act completed
- uses: acts.core.msg
on: updated
key: msg5
# on step created or completed
- uses: acts.core.msg
on: step
key: msg3
§Steps
Use steps
to add step to the workflow
name: model name
steps:
- id: step1
name: step 1
- id: step2
name: step 2
§step.setup
Use the setup
to setup some act event for step.
The act event includes ‘created’, ‘completed’, ‘step’, ‘before_update’ and ‘updated’.
name: a setup example
id: setup
steps:
- name: step 1
id: step1
setup:
# on step created
- uses: acts.core.msg
on: created
key: msg3
# on step completed
- uses: acts.core.msg
on: completed
key: msg4
# on act created
- uses: acts.core.msg
on: before_update
key: msg5
# on act completed
- uses: acts.core.msg
on: updated
key: msg5
# on step created or completed
- uses: acts.core.msg
on: step
key: msg3
- name: final
id: final
For more acts example, please see examples
§step.catches
Use the catches
to capture the step
error.
name: a catches example
id: catches
steps:
- name: prepare
id: prepare
acts:
- uses: acts.core.irq
key: init
- name: step1
id: step1
acts:
- uses: acts.core.irq
key: act1
# catch the step errors
catches:
- id: catch1
on: err1
steps:
- name: catch step 1
acts:
- uses: acts.core.irq
key: act2
- id: catch2
on: err2
steps:
- name: catch step 2
acts:
- uses: acts.core.irq
key: act3
- name: final
id: final
§step.timeout
Use the timeout
to check the task time.
name: a timeout example
id: timeout
steps:
- name: prepare
id: prepare
acts:
- uses: acts.core.irq
key: init
- name: step1
id: step1
acts:
- uses: acts.core.irq
key: act1
# check timeout rules
timeout:
# 1d means one day
# triggers act2 when timeout
- on: 1d
steps:
- name: timeout step 1
acts:
- uses: acts.core.irq
id: act2
# 2h means two hours
# triggers act3 when timeout
- on: 2h
steps:
- name: timeout step 2
acts:
- uses: acts.core.irq
id: act3
- name: final
id: final
§Branches
Use branches
to add branch to the step
name: model name
steps:
- id: step1
name: step 1
branches:
- id: b1
if: v > 0
steps:
- name: step a
- name: step b
- id: b2
else: true
steps:
- name: step c
- name: step d
- id: step2
name: step 2
§Acts
Use acts
to create act to interact with client, or finish a special function through several act type.
name: model name
outputs:
output_key:
steps:
- name: step1
acts:
# send message to client
- uses: acts.core.msg
key: msg1
params:
a: 1
# irq is an act to send a request from acts server
# the client can complete the act and pass data to serever
- uses: acts.core.irq
key: init
name: my act init
# passes data to the act
params:
a: 6
# limits the data keys when acting
outputs:
a:
For more acts example, please see examples
§Store
You can add more store support by store plugins. The avaliable store plugins are as follow:
- acts-sqlite
use acts::EngineBuilder;
use acts_store_sqlite::SqliteStore;
#[tokio::main]
async fn main() {
let engine = EngineBuilder::new().add_plugin(&SqliteStore).build().await.unwrap().start();
}
- acts-postgres
use acts::EngineBuilder;
use acts_store_postgres::PostgresStore;
#[tokio::main]
async fn main() {
let engine = EngineBuilder::new().add_plugin(&PostgresStore).build().await.unwrap().start();
}
How to create custom store plugin, please see the code under store/
§Package
Please see the example example/pakcage
.
§Acts-Server
Create a acts-server to interact with clients based on grpc.
please see more from acts-server
§Client channels
- rust https://github.com/yaojianpin/acts-channel
- python https://github.com/yaojianpin/acts-channel-py
- go https://github.com/yaojianpin/acts-channel-go
§Roadmap
acts:
-
runtime
- model (Workflow, Branch, Step, Act)
- scheduler (Config, Builder, Node, Process, Task, Queue, Event)
- javascript runner
- cache
- plugin register
- package register
- message channel
-
store
- memory
-
packages
-
core
- irq
- msg
- block
- action
- parallel
- sequence
- subflow
-
event
- manual
- hook
- chat
- schedule
-
transform
- set
- code
-
-
doc (doc/)
-
store extension
- sqlite
- postgres
-
package extension
- form (plugins/form)
- ai (plugins/ai)
- state (plugins/state)
- http (plugins/http)
- shell (plugins/shell) support nushell, bash and powershell
- pubsub (plugins/pubsub)
- observability (plugins/obs)
- database (plugins/database)
- mail (plugins/mail)
Modules§
Macros§
Structs§
- Act
- ActOperation
- ActPackage
Meta - ActResource
- Action
- Branch
- Catch
- Channel
- Just a export struct for the event::Emitter
- Channel
Options - Config
- Context
- Engine
- Workflow Engine
- Engine
Builder - Error
- Event
- Event
Info - Executor
- Executor
Query - Extender
- Message
- Message
Info - Model
Info - Output
- Outputs
- Package
Info - Page
Data - Proc
Info - Retry
- Signal
- Step
- Task
Info - Timeout
- Timeout
Limit - Vars
- Workflow
Enums§
Traits§
- ActPackage
- ActPlugin
- Act plugin trait
- ActUser
Var - User var trait It can create user releated context data
- DbCollection
- Model
Base - Stmt
Build