clearlydefined / service

The service side of clearlydefined.io
MIT License
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ClearlyDefined service

This is the service side of clearlydefined.io. The service mainly manages curations, human inputs and corrections, of harvested data. The ClearlyDefined crawler does the bulk of the harvesting so here we manage the open source/crowd-sourced part of ClearlyDefined. Users come together to add data, review data, and propose upstream changes to clarify the state of a project.

Like other open source projects, ClearlyDefined works with contributions coming as pull requests on a GitHub repo. In our case, curations data changes and are contributed to the ClearlyDefined curated-data repo. Those PRs are reviewed, discussed and ultimately merged into the curation repo. From there this service builds a database that further merges automatically harvested data with the newly curated data and makes it available via REST APIs.

In effect the curated data for a project is a fork of the project. Like most forks, we don't want to maintain changes as they quickly rot and need constant care and attention. Besides, the stated goal of ClearlyDefined is to help projects become more successful through clear data about the projects. The best way to do that is work with the upstream projects to include the data directly in projects themselves.

Quick start

Unless of course you are working on it, you should not need to run this service yourself. Rather, you can use https://dev-api.clearlydefined.io for experimental work or https://api.clearlydefined.io for working with production data.

If you do want to run the service locally, follow these steps.

Fastest Set Up

The quickest way to get a fully functional local ClearlyDefined set up (including the service) is to use the Dockerized ClearlyDefined environment setup. This runs all services locally and does not require access to the ClearlyDefined Azure account.

Alternative Set Up

Some parts of this set up may require access to the ClearlyDefined Azure Account.

  1. Clone this repo
  2. Copy the minimal.env.json file to the parent directory of the repo and rename it to env.json and set any property values you need. See below for simple, local setup and the Configuration section for more details. If this repo is colocated with the other ClearlyDefined repos, you can share the env.json file. Just merge the templates. Any colliding properties names are meant to be shared.
  3. On a command line, cd to the repo dir and run npm install
  4. Run npm start

That starts the ClearlyDefined service and has it listening for RESTful interaction at http://localhost:4000. See the Configuration section for info on how to change the port. The REST APIs are (partially) described in the Swagger at http://localhost:4000/api-docs.

You may want to get the sample data. Clone the Harvested-data repo and adjust the FILE_STORE_LOCATION setting your env.json to point to the data repo's location.

Authorization

TBD

Configuration

Configuration properties can be found at:

Contributing

This project welcomes contributions and suggestions, and we've documented the details in the contribution policy.

The Code of Conduct for this project is details how the community interacts in an inclusive and respectful manner. Please keep it in mind as you engage here.


Details (some of which are not up to date)


System Flow

  1. Scan plugin checks if it has already harvested data for a package by calling GET /harvest/...
  2. If it's already harvested then it stops processing
  3. If not it performs the scan and uploads the resulting files by calling PUT /harvest/...
  4. User visits the site and looks up information about a package which calls GET /packages/...
    1. This gets the harvested data for a package
    2. It then normalized the harvested data to the normalized schema
    3. It then runs the summarizer to condense the normalized schemas into a single normalized schema for the package
    4. It then loads any curation patch that applies to the package and patches the normalized schema and returns the end result
  5. They notice an error and edit a patch, a preview of the result of applying the patch is displayed by calling POST /packages/.../preview with the proposed patch
  6. They submit the patch which calls PATCH /curations/...
  7. A pull request is initiated and a build process runs against the patch
  8. The build gets the normalized schema for each of the patches in the pull request by calling GET /packages/... and also a preview of the result by calling POST /packages/.../preview and puts a diff in the PR for a curator to review
  9. A curator reviews the diff and if they're happy with the end result merges the PR
  10. As an optimization post merge we could normalize, summarize, and patch the affected package and store the result, if we did this then GET /packages/... would simply read that cache rather than doing the work on the fly

Normalized Schema

package:
  type: string
  name: string
  provider: string
  revision: string
source_location:
  provider: string
  url: string
  revision: string
  path: string
copyright:
  statements: string[]
  holders: string[]
  authors: string[]
license:
  expression: string

Endpoints

Resolved

TODO

Curation

PATCH /curations/:type/:provider/:namespace/:name/:revision

Request Body
{
  "source_location": {
    "provider": "",
    "url": "",
    "revision": "",
    "path": ""
  },
  "copyright": {
    "statements": [],
    "holders": [],
    "authors": []
  },
  "license": {
    "expression": ""
  }
}
Description

As a PATCH you only need to provide the attributes you want to add or update, any attributes not included will be ignored. To explicitly remove an attribute set its value to null.

TODO: Make sure the attribute names are consistent with AboutCode/ScanCode TODO: Include a section where the author's identity and reasoning is provided

Harvested

TODO

Storage

Curation

Curation patches will be stored in: https://github.com/clearlydefined/curated-data

Structure

type (npm)
  provider (npmjs.org)
    name.yaml (redie)

Note that the package name may contain a namespace portion, if it does, then the namespace will become a directory under provider and the packageName.yaml will be stored in the namespace directory. For example, a scoped NPM package would have a directory for the scope under provider, and then the packageName.yaml would be in the scope directory. Similarly, for Maven, the groupId would be the namespace, and the artifactId would be the packageName.

type (git)
  provider (github.com)
    namespace (Microsoft)
      name.yaml (redie)

Format

TODO

Harvested

Harvested data will be stored in: https://github.com/clearlydefined/harvested-data

This location is temporary, as harvested data grows will likely need to move it out of GitHub to scale.

Structure

type
  provider
    namespace -- if none then set to '-'
      name
        revision
          tool
            toolVersion -- this is the native output file. If more than one file then they should be archived together

Raw Notes

How to handle different versions of scanners?

Do we merge results from different versions of ScanCode? How does this impact curation?

Scanning a package where it's actually the source you need to scan, what to store where Maven supports scanning sources JAR or scanning GitHub repository

How to handle tags?

Need to define "origin" and/or pick another term

How do we handle case sensitivity?

Define how to do the linking

Format

The format of harvested data is tool-specific. Tool output is stored in the tool's native output format. If there is a choice between multiple output formats then the priorities are:

  1. Machine-readable
  2. Lossless
  3. JSON

Type Registry

Provider Registry

Tool Name Registry

Terminology

TODO

Running ORT for scanning

Build and run the container.

docker build -t ort .
docker run --mount type=bind,source="<path to repo>",target=/app ort scanner -d /app/output/package-json-dependencies.yml -o /app/output-scanner