112 lines
3.8 KiB
Markdown
112 lines
3.8 KiB
Markdown
# `slingshot-microservice`: A Rust framework for standard microservice design
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`slingshot-microservice` is a Rust package that provides a simple, opinionated
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framework for building microservices. The framework makes the following
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assumptions about a microservice:
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1. A microservice listens to incoming requests on its own dedicated and
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singular queue (RabbitMQ).
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2. Incoming requests are in the form of a 64-bit unsigned integer (`u64`).
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2. Microservices process requests via a `process` function, which takes one
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argument: the incoming request (`u64`).
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3. The `process` function returns a set of IDs (also `u64`) that are the result
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of processing the incoming request. Each of these IDs is also associated
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with a "case variable" that is used for routing the result to the
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appropriate outbound queues.
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4. Rather than hard-coding the inbound and outbound queues, the
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microservice communicates with a self-contained configuration service shared
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across all microservices.
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i. This service provides inbound queue name, as well as any outbound queues
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and their corresponding case variables.
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ii. It is also responsible for providing the RabbitMQ connection details
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(host, port, username, password), and any bucket names if using S3 for
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storage.
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The `slingshot-microservice` framework handles setting up the RabbitMQ
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connection, listening to the inbound queue and routing results based on case variables.
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## Example Usage
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```rust
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use slingshot_microservice::Microservice;
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fn process(request: u64) -> Vec<(u64, String)> {
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// Example processing logic: return the request ID and a case variable
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vec![(request, "case_a".to_string())]
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}
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fn main() {
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// Create a new microservice instance with the processing function
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let microservice = Microservice::new(
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"simple-microservice",
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"sys-map.example.com",
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process
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);
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// Start the microservice (this will block and listen for incoming requests)
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microservice.start();
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}
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```
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## How it works:
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The configuration service responds to requests of the form:
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`https://{HOSTNAME}/{MICROSERVICE_NAME}`. All configuration is done over HTTP
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GET. The response contains a JSON object with two fields: an inbound queue name
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and a mapping of case variables to outbound queue names. For example:
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```json
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{
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"in": "simple-microservice-inbound",
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"out": [
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{
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"case": "case_a",
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"queues": ["case_a_outbound_1", "case_a_outbound_2"]
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},
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{
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"case": "case_b",
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"queues": ["case_b_outbound"]
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}
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]
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}
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```
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The case variables can be any primitive type (e.g. string, integer, boolean).
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E.g. a binary classification microservice might decide on which outbound queue
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to send results to based on a case variable that is either `false` or `true`:
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```json
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{
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"in": "binary-classification-inbound",
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"out": [
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{
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"case": false,
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"queues": ["binary-classification-false-outbound"]
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},
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{
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"case": true,
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"queues": ["binary-classification-true-outbound"]
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}
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]
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}
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```
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The configuration service also provides the RabbitMQ connection details (host,
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port, etc.):
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When the microservice first starts up, it makes a request to the configuration
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service to get the queue metadata. Then it starts to listen to the inbound
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queue. Inbound requests are processed by the user-programmed `process`
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function, which returns a set of tuples of the form `(result_id, case_variable)`.
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The microservice then routes each `result_id` to the appropriate outbound
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queue(s) based on the `case_variable`, using a process that looks like this:
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Peudocode:
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```
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for each (result_id, case_variable) in process(request):
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for each outbound_queue in config.out[case_variable]:
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send result_id to outbound_queue
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```
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