🚀 Feature: Python SDK does not validate row data against table schema before insertion

### 🔖 Feature description

The Python SDK allows defining table schemas (required fields, data types, defaults), but create_row does not perform any client-side validation against this schema.

As a result, issues like missing required fields or incorrect data types are only caught server-side after the API request, leading to delayed and less clear errors.

### 🎤 Pitch

The Python SDK already has full knowledge of the table schema at creation time (required fields, data types, defaults), but this information is not used when inserting rows. This leads to avoidable runtime errors that are only discovered after a network request.

* Adding optional client-side validation would:

* Catch simple mistakes (missing required fields, wrong data types) immediately

* Provide clearer, Python-native error messages

* Reduce unnecessary API calls and debugging time

* Improve onboarding and overall developer experience

This does not replace server-side validation, but complements it by shifting basic checks closer to the developer.

### 👀 Have you spent some time to check if this issue has been raised before?

- [x] I checked and didn't find similar issue

### 🏢 Have you read the Code of Conduct?

- [x] I have read the [Code of Conduct](https://github.com/appwrite/appwrite/blob/master/CODE_OF_CONDUCT.md)

先找出 Python SDK 的 create_row 入口點，以及它所使用的資料表結構定義。確認必要欄位、資料型別和預設值是如何表示的，接著定義無效資料列的驗證行為和 Python 原生錯誤，同時保留伺服器端驗證。

由索引模型根據 Issue 內容生成。