I need a Microsoft Fabric notebook written in PySpark that can call a suitable commodities-exchange API and pull the most recent futures data on a couple select futures products. The solution should be fully runnable inside Fabric. Key points I have set: • Refresh cadence: once a month, so include a simple scheduling example (Fabric pipeline or a cron-style note is fine). This data will be pulled from a Chinese exchange, so I want a Chinese speaking freelancer only!! Deliverables 1. The .ipynb (or .notebook) file ready to import into Fabric 2. A quick test run showing one successful fetch and a tidy DataFrame with the fields timestamp, contract, price, and volume Acceptance will be based on the notebook executing end-to-end without manual edits (apart from entering an API key and secret) and the README clarifying every step.