9. SDVState Result API

9.1. Table of contents

9.1.1. Description

Result API is very simple write-only API for storing results of any size to multiple storage endpoints.

Results API focuses on only sending test results to required destinations so that they can be later viewed by user but do not implements read functionality as this is not required while running tests Usage is very simple:

from result_api import result_api as api
from result_api import Local

# First register storage enpoints
endpoint = Local()

# Now, use anywhere in program

Note: In above example we used only one storage endpoints so, whenever api will make call to store() method it will be used. But if register multiple storage endpoints then whenever api will make call to store() method all endpoints will be called to store data. This package doesn’t allows to selectively make calls to different storage endpoint for storing. Instead follows one api -> many endpoint (one to many) design.

9.1.2. Architecture


ResultsAPI exports data to various storage endpoints like harddisk, SQL, Mongo, etc. exposed by StorageAPI in write-only mode

9.1.3. Managing configuration

Result API uses Conf: Program Settings handler to manage all it’s settings. So, user can change any settings of ResultAPI as they need. Conf allows to change settings in two ways either read from file settings.load_from_file(path/to/file) or set inside program settings.setValue(key, Value)

Configurations available:




Local Storage


Yes, defaults to /tmp/local/

Local Storage


Yes, defaults to results.json

9.1.4. How to Use

For using ResultAPI successfully the following steps are required

  1. Import result_api instance from ResultAPI package as this instance will be commonly used across our program.

  2. Import required StorageAPI

  3. Set Storage settings or load settings from file

  4. Create Storage Endpoints from StorageAPI

  5. Register Storage Endpoints with result_api

Now, result_api is ready to use. We can send values to all registered storage endpoints by making a simple call to `store() method <#store()%20method>`__ store() method

result_api has store(dict) method for storing data.

# data must be a dict
data = { 'key1': "value1", 'key2': 5, 'dumykeytext': "dummy string value"}
result_api.store(data) rfile

rfile stands for result file. When you have extremely big value for a key you would like to tell your storage endpoint to store them in separate file and refer them in actual key. For storing value of type file in result_api use rfile construct.

data = { 'name': 'example', 'myfile': rfile('Text to store in this file')}
# Respective StorageAPI will evaluate "data" for all rfile values and store their text in some separate file/storage-object and put there refernece in "data" Use Local Storage with Result API

from result_api import result_api as api
from result_api import Local
from result_api import rfile

def main():
    # Update settings required for Local storage
    settings.setValue('results_path', '/tmp/myresults/')
    settings.setValue('results_filename', 'results.json')

    # Register Local() to result_api, this will load above settings automatically

    data = { 'testcase': "RA1.24", 'value': 'Pass', 'logs': rfile('These are logs')}

    # Now, store any data
    api.store(data) Register Storage Endpoint

from result_api.storage.mystorageapi import MyStorageAPI

# Set required settings values for storage endpoint
settings.setValue('mysetting1', 'value')
settings.setValue('mysetting2', 'value2')

#Now Register StorageAPI to ResultAPI
endpoint = MyStorageAPI()
api.register_storage(endpoint) Changing settings

# Set values in a yaml file and load it

# Or set in program
settings.setValue('key', 'value')

# Note above steps will only change settings values but will not impact any previously registered storage endpoints
# To use endpoints with new value, register new endpoints
endpoint = MyStorageAPI()

# And do not forget to unregister old endpoint as they have old settings