Tesla inventory json for free#
Tesla inventory json how to#
Tesla inventory json install#

Follow the 4 step process provided by Rockset to install Kafka Connect and get your Rockset Sink running.

Create Integration - Give it a name, choose a format (JSON for this example) and enter the topic name (tesla-location).

The team at Rockset have made connecting to an existing Kafka topic quick and easy via the Rockset console. Kafka console consumer output Streaming a Kafka Topic into Rockset Once confirmed it’s now time to hook this into Rockset.įig 1. Once this is running we can double check it’s working by using the Kafka console consumer to display the messages as they are being sent in real time. location () # send the location as a byte string to the tesla-location topic Producer = KafkaProducer ( bootstrap_servers = ) while True : # get the vehicles location using SmartCar API

Once authorised and you have all your access tokens, we can use the Smart Car API to fetch our vehicle info.įrom kafka import KafkaProducer # initialise a kafka producer If you wish to make more calls than this there is a paid option.

Tesla inventory json for free#

You can try it for free and make up to 20 requests a month. To do this I used the Smart Car API and followed their getting started guide. Here’s how it works.įirstly we need to setup the connection to the Tesla. In Python I wrote a simple Kafka producer that every 5 seconds requests the real time location from my Tesla and sends it to a Kafka topic. The dataset I’ll be using is a real time location tracker for my Tesla Model 3. To get started we’ll need a Kafka producer to add our real time data onto a topic.

Tesla inventory json how to#

There are a number of great posts that outline in detail how the Rockset and Kafka integration works and how to set it up but I’ll give a quick overview of the steps I took to get this up and running. Rockset does this by consuming the data from Kafka and storing it within its analytics platform almost instantly, so you can begin querying this data right away. This integration allows you to take data that is being streamed into a Kafka topic and make it immediately available for analytics. The one that immediately caught my eye was the Apache Kafka integration.

Within the Rockset console there’s a catalog of out of the box integrations that allow you to attach Rockset to any number of existing applications you may have. When starting with any new tool I find it best to look around and see the art of the possible. I walk through an end to end integration of requesting data from the car, streaming it into a Kafka Topic and using Rockset to expose the data via its API to create real time visualisations in D3. Most recently, Tesla announced V4 charging version, to handle power output as high as 1+ MW.In this post I’m going to show you how I tracked the location of my Tesla Model 3 in real time and plotted it on a map. The latest reports indicate that Tesla is also preparing to launch V4 Superchargers, which are expected to remind us of the design of Tesla Megachargers (for trucks). V3: 250 kW - See 2021 Tesla Model S Plaid Fast Charging Analysis and comparison with Lucid Air.V2: 150 kW (compared to 120 kW originally).There was a rumor about 324 kWh in the case of V3 Superchargers. If all of the 42,400+ stalls were powered simultaneously, at 100 kW average (for illustrative purposes), the total output would be over 4.2 GW.Īs of today, Tesla Superchargers offer a peak power output of up to 250 kW, but it's expected to increase to 300 kW and beyond in the future. The number of Tesla Superchargers (globally):