ddf-validation
npm version
Install
npm i ddf-validation -g
Test
npm test
or npm run n-test
without eslint
Console utility usage
validate-ddf [root] [options]
Commands:
root DDF Root directory. Current directory will be processed if DDF Root directory is undefined.
Options:
-v Print current version
-i Generate datapackage.json
--compress-datapackage Compress datapackage.json file
--translations Rewrite "translations" section in existing datapackage.json
--content Rewrite "resources" and "ddfSchema" sections in existing datapackage.json
-j Fix wrong JSONs
--rules Print information regarding supported rules
--multithread Validate datapoints in separate threads
--datapointless Forget about datapoint validation
--hidden Allow hidden folders validation
--include-tags Process only issues by selected tags
--exclude-tags Process all tags except selected
--include-rules Process only issues by selected rules
--exclude-rules Process all rules except selected
--exclude-dirs Process all directories except selected.
--heap Set custom heap size
Examples:
validate-ddf ../ddf-example validate DDF datasets for the root
validate-ddf ../ddf-example -i generate datapackage.json file
validate-ddf ../ddf-example -i --translations update only "translations" section in datapackage.json
validate-ddf ../ddf-example -i --translations --content rewrite "translations", "resources" and "ddfSchema" sections in datapackage.json
validate-ddf ../ddf-example -j fix JSONs for this DDF dataset
validate-ddf --rules print information regarding supported rules
validate-ddf ../ddf-example --multithread validate datapoints for `ddf-example` in separate threads
validate-ddf ../ddf-example --datapointless forget about datapoint validation
validate-ddf ../ddf-example --hidden allow hidden folders validation
validate-ddf ../ddf-example --include-rules "INCORRECT_JSON_FIELD" validate only by INCORRECT_JSON_FIELD rule
validate-ddf ../ddf-example --exclude-tags "WARNING" get all kinds of issues except warnings
validate-ddf ../ddf-example --exclude-dirs "etl,foo-dir" validate "ddf-example" and its subdirectories except "etl" and "foo-dir"
validate-ddf ../ddf-example --exclude-dirs "'dir1 with spaces','dir2 with spaces'" validate "ddf-example" and its subdirectories that contain spaces
validate-ddf ../ddf-example --exclude-dirs '"dir1 with spaces","dir2 with spaces"' validate "ddf-example" and its subdirectories that contain spaces: case 2
validate-ddf ../ddf-example -i --heap 4096 --compress-datapackage create compressed datapackage.json via 4Gb heap
API usage
First of all you should install this package: npm i ddf-validation
ddf-validation
can be used via an API in three different ways:
- JSON based validator (
JSONValidator
) - Stream based validator (
StreamValidator
) - Validator that checks whether dataset has errors and if there are some - returns
true
, otherwise - false
Some examples of API using:
JSONValidator
Simple example
const api = require('ddf-validation');
const JSONValidator = api.JSONValidator;
const jsonValidator = new JSONValidator('path to ddf dataset');
jsonValidator.on('finish', (err, jsonIssuesContent) => {
console.log(err, jsonIssuesContent);
});
api.validate(jsonValidator);
This validator's type returns all issues as JSON object.
And for this reason it's not suitable for huge DDF datasets.
StreamValidator
const api = require('ddf-validation');
const StreamValidator = api.StreamValidator;
const streamValidator = new StreamValidator('path to ddf dataset', custom parameters);
// custom parameters should be explained a little bit later
streamValidator.on('issue', issue => {
// catch new issue here
});
streamValidator.on('finish', err => {
// validation is finished
});
api.validate(streamValidator);
StreamValidator returns each issue separately one by one.
It is good choice for huge DDF datasets.
StreamValidator
is the default validator.
SimpleValidator
According to the state of the dataset (valid or not) this validator returns only true or false with appropriate meaning.
This is the fastest validator among given here.
const api = require('ddf-validation');
const SimpleValidator = api.SimpleValidator;
const simpleValidator = new SimpleValidator('./test/fixtures/good-folder-indexed', custom parameters);
// custom parameters should be explained a little bit later
simpleValidator.on('finish', (err, isDataSetCorrect) => {
// isDataSetCorrect === true if DDF dataset is correct
// isDataSetCorrect === true if DDF dataset is incorrect
});
api.validate(simpleValidator);
Custom parameters
Also all validators supports validation parameters that corresponds with some parameters from command line:
parameter | corresponds ... | JS type | description |
---|
excludeDirs | exclude-dirs | array of strings(see 1) | list of folders should be ignored during validation |
includeTags | include-tags | string(see notes 2, 3) | use only tags that specified in the list |
excludeTags | exclude-tags | string(see notes 2, 3) | exclude tags that specified in the list |
includeRules | include-rules | string(see notes 2, 3) | use only rules that specified in the list |
excludeRules | exclude-rules | string(see notes 2, 3) | exclude rules that specified in the list |
datapointlessMode | datapointless | boolean | don't validate datapoints |
isCheckHidden | hidden | boolean | allow to validate hidden (starts with '.') folders |
isMultithread | multithread (see 4) | boolean | validate datapoints in separate threads |
Notes.
- Apart from
array of string
you can use a string that contains expected folders split by ','.
If those folders contain spaces you can surround them by " or ' character. - Separate tags or rules should be split by space character
- Full list of tags and rules you can see via
validate-ddf --rules
command - Implemented only for
StreamValidator
and JSONValidator
Here is an example:
const api = require('ddf-validation');
const expectedRules = 'INCORRECT_FILE CONCEPTS_NOT_FOUND';
const StreamValidator = api.StreamValidator;
const streamValidator = new StreamValidator(path, {
includeRules,
excludeDirs: ['my cool assets', 'some-other-folder'],
isMultithread: true
});
streamValidator.on('issue', issue => {
// only one type of issue (INCORRECT_FILE and CONCEPTS_NOT_FOUND) should be catched
});
streamValidator.on('finish', err => {
console.log('finished');
});
api.validate(streamValidator);
Developer guide
you can see it here
Release
npm run changelog
- generates content for CHANGELOG.md
file with changes that have happened since last releasenpm version
- this one is a bit more complicated. Let's start with what it needs in order to run.
-
CONVENTIONAL_GITHUB_RELEASER_TOKEN
environment variable should be set up for this command:
Example: CONVENTIONAL_GITHUB_RELEASER_TOKEN=aaaaaaaaaabbbbbbbbbbccccccccccffffffffff npm version minor
-
this command understands following parameters:
-
major
(having initially version 0.0.0 by applying this option it will be changed to 1.0.0).
Example:
CONVENTIONAL_GITHUB_RELEASER_TOKEN=aaaaaaaaaabbbbbbbbbbccccccccccffffffffff npm version major
-
minor
(having initially version 0.0.0 by applying this option it will be changed to 0.1.0)
Example:
CONVENTIONAL_GITHUB_RELEASER_TOKEN=aaaaaaaaaabbbbbbbbbbccccccccccffffffffff npm version minor
-
patch
(having initially version 0.0.0 by applying this option it will be changed to 0.0.1)
Example:
CONVENTIONAL_GITHUB_RELEASER_TOKEN=aaaaaaaaaabbbbbbbbbbccccccccccffffffffff npm version patch
During the release process two files will be changed and pushed to github:
- CHANGELOG.md - because of added history.
- package.json - because of bumped version.
Note: aaaaaaaaaabbbbbbbbbbccccccccccffffffffff
- is the fake token. In order to generate proper one you need to do following: github tutorial
Important note: you should merge development
branch into master
and performing npm verison
on master
branch according to our gitflow
Even more important note: while generating token (using tutorial given above) you need to choose which permissions should be granted to it. For our release purposes you need to choose all permissions under the section repo