Venomics-API-Client

The official API client and utilities to manage a Venomics instance written in Python.

• INSTALLATION
• EXAMPLE SCRIPTS

Installation

To install it you will need Python 3.6 or above. We recommend that you use a virtual environment.

pip install --upgrade venomics-client

This command will update venomics-client if you have already installed it.

API Authentication

All the API calls support authentication with an API key. Venomics has two types of API keys:

• User API Key: has the same permissions as the user who owns it. Can be found on a user profile page.

• Query API Key: has access only to the query and its results. Can be found on the query page.

• Whenever possible we recommend using a Query API key

Getting Started

from venomics_client import VenomicsAPIClient

# Create API client instance
"""
    :args:
    API_KEY
    VENOMICS_HOST (optional): `https://www.venomics.xyz/` by default
"""
venomics = VenomicsAPIClient(API_KEY)

API REFERENCE

Common Endpoints

Below is an incomplete list of Venomics's API endpoints as of V9. These may change in future versions of Venomics.

Each endpoint is appended to your Venomics base URL. For example:

• https://www.venomics.xyz/<slug>

Queries

/queries

• GET: Returns a paginated array of query objects.

  • Includes the most recent query_result_id for non-parameterized queries.

   venomics.queries()
  

• POST: Create a new query object

/queries/<id>

• GET: Returns an individual query object

  venomics.get_query(query_id="")
  

• POST: Edit an existing query object.

• DELETE: Archive this query.

/queries/<id>/results

• GET: Get a cached result for this query ID.

  • Only works for non parameterized queries. If you attempt to GET results for a parameterized query you'll receive the error: no cached result found for this query. See POST instructions for this endpoint to get results for parameterized queries.

• POST: Initiates a new query execution or returns a cached result.

  • The API prefers to return a cached result. If a cached result is not available then a new execution job begins and the job object is returned. To bypass a stale cache, include a max_age key which is an integer number of seconds. If the cached result is older than max_age, the cache is ignored and a new execution begins. If you set max_age to 0 this guarantees a new execution.
  • If passing parameters, they must be included in the JSON request body as a parameters object.

Here's an example JSON object including different parameter types:

{ 
    "parameters": {
    	"number_param": 100,
    	"date_param": "2020-01-01",
    	"date_range_param": {
    		"start": "2020-01-01",
    		"end": "2020-12-31"
    		}
    	},
      "max_age": 1800
    }
}

Jobs

/jobs/<job_id>

• GET: Returns a query task result (job)
  • Possible statuses:
    • 1 == PENDING (waiting to be executed)
    • 2 == STARTED (executing)
    • 3 == SUCCESS
    • 4 == FAILURE
    • 5 == CANCELLED
  • When status is success, the job will include a query_result_id

Query Results

/query_results/<query_result_id>

• GET: Returns a query result
  • Appending a filetype of .csv or .json to this request will return a downloadable file. If you append your api_key in the query string, this link will work for non-logged-in users.

Dashboards

/dashboards

• GET: Returns a paginated array of dashboard objects.

   venomics.dashboards()
  

• POST: Create a new dashboard object

/dashboards/<dashboard_slug>

• GET: Returns an individual dashboard object.

   venomics.get_dashboard(id="")
  

• DELETE: Archive this dashboard

/dashboards/<dashboard_id>

• POST: Edit an existing dashboard object.

Example scripts

With venomics-client installed you will have access to several example CLI scripts within your terminal.

gdpr-scrub                  Search for a string term in  your Venomics queries
                            and query results. The script returns a list of
                            URLs in your instance that contain references to
                            the search term you provide
find-tables                 Search the text of queries against a data source
                            to see which table names are used in queries of
                            that source. This script relies on regex that is
                            tested against ANSI SQL.
clone-dashboard-and-queries Completely duplicate a dashboard by copying all 
                            its queries and visualizations.
export-queries              Export all the queries of your Venomics instance
                            as text files.

License

This project is licensed under the MIT License - see the LICENSE file for details.