Server backbone service based on a given stack components does two tasks.

• Stack Aggregation
• Recommendation

Based on the contents of a given payload, it tries to aggregate the data from the Graph. It then persists the data in the Database and returns a response.

Based on the contents of a given payload, it calls Kronos service and gets the recommendation in terms of

• Outliers
• Alternate Components
• Companion Components

It then persists the above data in the Database and returns a response.

• ./runtests.sh

• curl localhost:<SERVICE_PORT>/api/v1/readiness should return {} with status 200

{
	"external_request_id": "req-id",
	"result": [{
		"summary": [],
		"details": [{
			"ecosystem": "maven",
			"description": "Exposes an HTTP API using Vert.x",
			"_resolved": [{
				"package": "io.vertx:vertx-web",
				"version": "3.4.2"
			}, {
				"package": "io.vertx:vertx-core",
				"version": "3.4.2"
			}],
			"manifest_file_path": "/home/JohnDoe",
			"manifest_file": "pom.xml",
			"declared_licenses": ["Apache License, Version 2.0"],
			"name": "Vert.x - HTTP",
			"dependencies": ["io.vertx:vertx-web 3.4.2", "io.vertx:vertx-core 3.4.2"],
			"version": "1.0.0-SNAPSHOT",
			"devel_dependencies": ["com.jayway.restassured:rest-assured 2.9.0", "io.openshift:openshift-test-utils 2", "org.assertj:assertj-core 3.6.2", "junit:junit 4.12", "io.vertx:vertx-unit 3.4.2", "io.vertx:vertx-web-client 3.4.2", "com.jayway.awaitility:awaitility 1.7.0"],
			"homepage": null
		}],
		"status": "success"
	}]
}

API Endpoint api/v1/recommender

{
    "external_request_id": "req-id",
    "recommendation": "success"
}

API Endpoint api/v1/stack_aggregator

{
    "external_request_id": "req-id",
    "stack_aggregator": "success"
}

• You can use scripts run-linter.sh and check-docstyle.sh to check if the code follows PEP 8 and PEP 257 coding standards. These scripts can be run w/o any arguments:

./run-linter.sh
./check-docstyle.sh

The first script checks the indentation, line lengths, variable names, whitespace around operators etc. The second script checks all documentation strings - its presense and format. Please fix any warnings and errors reported by these scripts.

The scripts measure-cyclomatic-complexity.sh and measure-maintainability-index.sh are used to measure code complexity. These scripts can be run w/o any arguments:

./measure-cyclomatic-complexity.sh
./measure-maintainability-index.sh

The first script measures cyclomatic complexity of all Python sources found in the repository. Please see this table for further explanation how to comprehend the results.

The second script measures maintainability index of all Python sources found in the repository. Please see the following link with explanation of this measurement.