又閣是資料結構致使的誤會

本底覺做是流程失誤結果是後端回傳轉來的值，前端無好好仔比對、限制，致使掠無資料，產生誤會！

1. Runtime Errors

• Undefined property access: If you assume an object has a property but the structure is inconsistent, you may get undefined or cannot read property X of undefined.

• Type mismatch: For example, expecting a string but sometimes getting an array or number can break rendering logic.

2. Rendering / UI Bugs

• Components may fail to render properly if they rely on specific fields (e.g., React/Vue expecting a key or a label but receiving inconsistent shapes).

• Lists may duplicate, fail to sort, or crash due to missing identifiers.

3. Data Flow & State Management Issues

• State managers (Vuex, Redux, Pinia, etc.) expect predictable shapes. If they receive irregular structures, mutations/selectors may produce invalid state or fail silently.

• Difficulties arise in caching, diffing, or memoization if the shape isn’t predictable.

4. Validation & Debugging Pain

• Without a consistent structure, you can’t reliably validate or sanitize data on the frontend.

• Bugs become harder to track down since issues only surface with specific payloads.

5. Integration Breakage

• APIs or third-party libraries expect strict types/schemas. Sending or receiving “loose” structures often leads to request rejections or subtle logic errors.