How to Integrate TickDB: From API Key to a Validated Python Quote
How to Integrate TickDB: From API Key to a Validated Python Quote Adding market data to an application starts with a small, verifiable request. With an API key that has access to your chosen instrument, TickDB’s REST snapshot endpoint provides the symbol, latest trade price, and market timestamp needed for a basic quote display. This tutorial builds a Python function around that request, checks…
To begin integrating TickDB, you first need an API key. Create this key within the TickDB console and verify that it can access the specific instrument you plan to use. Do not commit this key to your source control, but instead keep it securely within your backend. In your Python environment, install the required HTTP client library, requests. Set the environment variable TICKDB_API_KEY to your actual API key value.
To confirm the smallest, most basic request works, use cURL from your command line. Authenticate with the X-API-Key header in your REST snapshot request, specifying the symbol and type of data you're requesting. Inspect the JSON response, ensuring you have a 200 HTTP status and a non-empty data array. The response should contain a row with the symbol you requested, along with fields like last_price and timestamp in Unix milliseconds.
Create a Python function, `fetch_quote`, that encapsulates this request. This function should handle both HTTP errors and business-level failures, returning a small data object that your quote display can consume. If the response is not valid JSON or contains unexpected data structures, the function should raise a RuntimeError with a clear message. This isolates your application from the intricacies of handling each potential error scenario.
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