To automate the generation and validation tests of COSE/CBOR Codes and it's base45/2D Code representations

Related tags

Testingdgc-testdata
Overview

EU Digital COVID Certificate: Test Data Repository for Test Automation

AboutTesting & Status2D CodeHow to ContributeLicensing

About

To automate the generation and validation tests of COSE/CBOR Codes and it's base45/2D Code representations, a lot of data has to be collected to ensure the variance of the tests. This respository was established to collect a lot of different test data and related test cases of different member states in a standardized manner. Each member state can generate a folder in this section.

Testing & Status

  • If you found any problems, please create an Issue.
  • Please make sure to review the issues to see if any other members states found issues with your provided test data.

2D Code

Test Procedure

The test procedure has the following steps:

  1. Load RAW Data File X
  2. Apply all test and validation rules to File X (from all countries).
  3. If one rule fails, the RAW Data File X is highlighted with the related Validation Rule/TestName Fail Status.

Note: If some of the "EXPTECEDRESULT" values are not present, the steps in the tests run can be skipped. The related data can be removed then as well. E.g. if just a "Expireing" test is constructed, the "EXPECTEDEXPIRATIONCHECK" value can be set together with an "COSE" and "VALIDATIONCLOCK" raw object. All other fields are then not necessary.

Field Definition
JSON The JSON-encoding of the Digital Green Certificate payload
CBOR The CBOR-encoding of the Digital Green Certificate payload
COSE The CWT defined by the hCert Spec.
COMPRESSED A CWT compressed by zLib
BASE45 The base45 encoding of the compression.
PREFIX The base45 string concatenated with the Prefix (HC1 etc.)
2DCODE The base64 encoded PNG of a QR Code.
TESTCTX Testcontext with context information of the raw data.
EXPECTEDRESULTS A list of expected results to the testdata.

Possible boolean variables set in EXPECTEDRESULTS:

  • EXPECTEDSCHEMAVALIDATION: Decoded data is valid according to dgc-schema
  • EXPECTEDDECODE: Data from input in CBOR can be decoded, and the contents match input from JSON
  • EXPECTEDVERIFY: Data from input in COSE can be cryptographically verified, with signer's certificate from TESTCTX.CERTIFICATE
  • EXPECTEDUNPREFIX: Data from input in PREFIX can be decoded, i.e. contains a valid prefix (e.g. HC1: for now), and is equal to input in BASE45
  • EXPECTEDVALIDJSON: Data from input (i.e. 2DCODE or PREFIX) can be decoded (whole chain), and the contents match input from JSON
  • EXPECTEDCOMPRESSION: Data from input in COMPRESSED can be decompressed (with ZLIB), and matches input in COSE
  • EXPECTEDB45DECODE: Data from input in BASE45 can be decoded (from Base45), and matches input in COMPRESSED
  • EXPECTEDPICTUREDECODE: Data from input in 2DCODE can be decoded (from Base64-encoded PNG), and matches input in PREFIX
  • EXPECTEDEXPIRATIONCHECK: Data from input is valid when verifying at the moment defined in TESTCTX.VALIDATIONCLOCK
  • EXPECTEDKEYUSAGE: Data from input in COSE can be verified, and the key usage (defined by the OIDs) from TESTCTX.CERTIFICATE matches the content (i.e. it is a test statement, vaccination statement, or recovery statement)

For all variables above:

  • When not set, this specific validation step is not tested in this input file
  • When set to true, this validation step should succeed
  • When set to false, this validation step should fail

Gateway

To indidcate which gateway environment is available, the test data context should contain: GATEWAY-ENV:Array

Example:

GATEWAY-ENV:["ACC", "TST"]

Note: Prod Keys should not be uploaded.

Code Generation

Test Number Test Mandatory Fields Mandatory Test Context Fields Variable
1 Load RAW File and load JSON Object, validate against the referenced JSON schema in the test context(SCHEMA field). JSON SCHEMA EXPECTEDVALIDOBJECT
2 Create CBOR from JSON Object. Validate against the CBOR content in the RAW File. See note 2 below. JSON, CBOR EXPECTEDENCODE

NOTE: DESCRIPTION, VERSION are mandatory for all tests.

NOTE 2: CBOR objects that are maps (i.e., the Digital Green Certificate), have an undefined order. This means that the actual encodings between two objects containing the same elements may differ since the ordering may be different. Therefore the validation can not be as simple as comparing two byte arrays against each other. The best method is to decode both elements that are to be compared with the same decoder, encode both objects with the same encoder, and then compare.

Code Validation

Test Number Test Mandatory Fields Mandatory Test Context Fields Variable
1 Load the picture and extract the prefixed BASE45content. PREFIX , 2DCode EXPECTEDPICTUREDECODE
2 Load Prefix Object from RAW Content and remove the prefix. Validate against the BASE45 raw content. PREFIX, BASE45 EXPECTEDUNPREFIX
3 Decode the BASE45 RAW Content and validate the COSE content against the RAW content. BASE45, COSE EXPECTEDB45DECODE
4 Check the EXP Field for expiring against the VALIDATIONCLOCK time. COSE VALIDATIONCLOCK EXPECTEDEXPIRATIONCHECK
5 Verify the signature of the COSE Object against the JWK Public Key. COSE JWK EXPECTEDVERIFY
6 Extract the CBOR content and validate the CBOR content against the RAW CBOR content field. See note 2 below. COSE,CBOR EXPECTEDDECODE
7 Transform CBOR into JSON and validate against the RAW JSON content. See note 3 below. CBOR,JSON EXPECTEDVALIDJSON
8 Validate the extracted JSON against the schema defined in the test context. CBOR,JSON SCHEMA EXPECTEDSCHEMAVALIDATION
9 The value given in COMPRESSED has to be decompressed by zlib and must match to the value given in COSE COSE,COMPRESSED EXPECTEDCOMPRESSION

NOTE: DESCRIPTION, VERSION are mandatory for all tests.

NOTE 2: CBOR objects that are maps (i.e., the Digital Green Certificate), have an undefined order. This means that the actual encodings between two objects containing the same elements may differ since the ordering may be different. Therefore the validation can not be as simple as comparing two byte arrays against each other. The best method is to decode both elements that are to be compared with the same decoder, encode both objects with the same encoder, and then compare.

NOTE 3: As CBOR objects, JSON objects are not ordered, and a plain string comparison of two objects can not be performed.

File Structure

/schema/[semver].json
/COMMON/2DCode/raw/[Number].json
[COUNTRY]/2DCode/raw/[Number].json

Variables

COUNTRY is defined as the country code by ISO 3166.

Number must be a unique number by country/type.

JSON Schema

A number which identifies the used schema (used in the RAW Data).

RAW Content

The JSON Content under RAW is defined as:

{
   "JSON": **JSON OBJECT**,
   "CBOR": **CBOR (hex encoded)**,
   "COSE": **COSE (hex encoded)**,
   "COMPRESSED": **COMPRESSED (hex encoded)**,
   "BASE45": **BASE45 Encoded compressed COSE**,
   "PREFIX": **BASE45 Encoded compressed COSE with Prefix HC(x):**,
   "2DCODE": **BASE64 Encoded PNG**,
   "TESTCTX":{
       "VERSION": **integer**,
       "SCHEMA": **string (USED SCHEMA, semver)**,
       "CERTIFICATE": **BASE64** ,
       "VALIDATIONCLOCK": **Timestamp**, (https://docs.jsonata.org/date-time-functions ISO8601)
       "DESCRIPTION": **string**,
       "GATEWAY-ENV":**Array**
   },
   "EXPECTEDRESULTS": {
       "EXPECTEDVALIDOBJECT": **boolean**,
       "EXPECTEDSCHEMAVALIDATION": **boolean**,
       "EXPECTEDENCODE": **boolean**,
       "EXPECTEDDECODE": **boolean**,
       "EXPECTEDVERIFY": **boolean**,
       "EXPECTEDCOMPRESSION": **boolean**,
       "EXPECTEDKEYUSAGE": **boolean**,
       "EXPECTEDUNPREFIX": **boolean**,
       "EXPECTEDVALIDJSON": **boolean**,
       "EXPECTEDB45DECODE": **boolean**,
       "EXPECTEDPICTUREDECODE": **boolean**,
       "EXPECTEDEXPIRATIONCHECK": **boolean**,
    }
}

Example:

{
    "JSON": {
        "ver": "1.0.0",
        "nam": {
            "fn": "Musterfrau-Gößinger",
            "fnt": "MUSTERFRAU

Validation Content (TBD)

Javascript validation rules which must be passed during the testing of a 2D Code of the country. Each rule is applied on the decoded JSON Content. The function body is defined as

function [name] ([Decoded JSON Object]) {
    return [boolean]
}

Image Content

Contains images of the generated base45 contents(PNG).

Certificate Content

The public key to validate the data structure. This is defined as base64 encoded datastructure (PEM).

How to contribute

Contribution and feedback is encouraged and always welcome. For more information about how to contribute, the project structure, as well as additional contribution information, see our Contribution Guidelines. By participating in this project, you agree to abide by its Code of Conduct at all times.

Licensing

Copyright (C) 2021 T-Systems International GmbH and all other contributors

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.

You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the LICENSE for the specific language governing permissions and limitations under the License.

Owner
Official GitHub Organization of the EU Digital COVID Certificates (EUDCC) project, previously known as the EU Digital Green Certificates (DGC).
A utility for mocking out the Python Requests library.

Responses A utility library for mocking out the requests Python library. Note Responses requires Python 2.7 or newer, and requests = 2.0 Installing p

Sentry 3.8k Jan 03, 2023
Wraps any WSGI application and makes it easy to send test requests to that application, without starting up an HTTP server.

WebTest This wraps any WSGI application and makes it easy to send test requests to that application, without starting up an HTTP server. This provides

Pylons Project 325 Dec 30, 2022
HTTP load generator, ApacheBench (ab) replacement, formerly known as rakyll/boom

hey is a tiny program that sends some load to a web application. hey was originally called boom and was influenced from Tarek Ziade's tool at tarekzia

Jaana Dogan 14.9k Jan 07, 2023
Voip Open Linear Testing Suite

VOLTS Voip Open Linear Tester Suite Functional tests for VoIP systems based on voip_patrol and docker 10'000 ft. view System is designed to run simple

Igor Olhovskiy 17 Dec 30, 2022
Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"

SUGAR Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism" Overview train.py: the cor

41 Nov 08, 2022
Command line driven CI frontend and development task automation tool.

tox automation project Command line driven CI frontend and development task automation tool At its core tox provides a convenient way to run arbitrary

tox development team 3.1k Jan 04, 2023
How to Create a YouTube Bot that Increases Views using Python Programming Language

YouTube-Bot-in-Python-Selenium How to Create a YouTube Bot that Increases Views using Python Programming Language. The app is for educational purpose

Edna 14 Jan 03, 2023
A feature flipper for Django

README Django Waffle is (yet another) feature flipper for Django. You can define the conditions for which a flag should be active, and use it in a num

952 Jan 06, 2023
MongoDB panel for the Flask Debug Toolbar

Flask Debug Toolbar MongoDB Panel Info: An extension panel for Rob Hudson's Django Debug Toolbar that adds MongoDB debugging information Author: Harry

Cenk Altı 4 Dec 11, 2019
Using openpyxl in Python, performed following task

Python-Automation-with-openpyxl Using openpyxl in Python, performed following tasks on an Excel Sheet containing Product Suppliers along with their pr

1 Apr 06, 2022
Rerun pytest when your code changes

A simple watcher for pytest Overview pytest-watcher is a tool to automatically rerun pytest when your code changes. It looks for the following events:

Olzhas Arystanov 74 Dec 29, 2022
The Good Old Days. | Testing Out A New Module-

The-Good-Old-Days. The Good Old Days. | Testing Out A New Module- Installation Asciimatics supports Python versions 2 & 3. For the precise list of tes

Syntax. 2 Jun 08, 2022
This is a Python script for Github Bot which uses Selenium to Automate things.

github-follow-unfollow-bot This is a Python script for Github Bot which uses Selenium to Automate things. Pre-requisites :- Python A Github Account Re

Chaudhary Hamdan 10 Jul 01, 2022
Avocado is a set of tools and libraries to help with automated testing.

Welcome to Avocado Avocado is a set of tools and libraries to help with automated testing. One can call it a test framework with benefits. Native test

Ana Guerrero Lopez 1 Nov 19, 2021
Automating the process of sorting files in my downloads folder by file type.

downloads-folder-automation Automating the process of sorting files in a user's downloads folder on Windows by file type. This script iterates through

Eric Mahasi 27 Jan 07, 2023
Automatically mock your HTTP interactions to simplify and speed up testing

VCR.py 📼 This is a Python version of Ruby's VCR library. Source code https://github.com/kevin1024/vcrpy Documentation https://vcrpy.readthedocs.io/ R

Kevin McCarthy 2.3k Jan 01, 2023
Donors data of Tamil Nadu Chief Ministers Relief Fund scrapped from https://ereceipt.tn.gov.in/cmprf/Interface/CMPRF/MonthWiseReport

Tamil Nadu Chief Minister's Relief Fund Donors Scrapped data from https://ereceipt.tn.gov.in/cmprf/Interface/CMPRF/MonthWiseReport Scrapper scrapper.p

Arunmozhi 5 May 18, 2021
DUCKSPLOIT - Windows Hacking FrameWork using Reverse Shell

Ducksploit Install Ducksploit Hacker setup raspberry pico Download https://githu

2 Jan 31, 2022
This repository has automation content to test Arista devices.

Network tests automation Network tests automation About this repository Requirements Requirements on your laptop Requirements on the switches Quick te

Netdevops Community 17 Nov 04, 2022
Obsei is a low code AI powered automation tool.

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

Obsei 782 Dec 31, 2022