my_function() -> list[dict]:
    data: list[dict] = []
    # 填充数据...
    if condition:
        data.sort(key=lambda x: x["position"])
    return data

答案[@SisodiaMonu](https://stackoverflow.com/a/75471999/14401160)应该有效。然而，看起来你的例子更像是使用字典作为JS对象，所以所有键都有语义含义。对于这种情况，有一种[`typing.TypedDict`](https://docs.python.org/3/library/typing.html#typing.TypedDict)，允许你用类型注解所有字典键。这很重要，如果你的字典可能包含其他类型的对象：如果是`{'position': 1, 'key': 'foo'}`，那么类型将是`dict[str, int | str]`，而`mypy`将指出无效的比较（`int | str`是不可比较的）。使用`TypedDict`，这个问题就不会出现：
```python
from typing import TypedDict
class MyItem(TypedDict):
    position: int
    key: str
condition = True
def my_function() -> list[MyItem]:
    data: list[MyItem] = []
    # Populate data ...
    if condition:
        data.sort(key=lambda x: x["position"])
    return data

<details>
<summary>英文:</summary>
The answer by [@SisodiaMonu](https://stackoverflow.com/a/75471999/14401160) should work. However, seems that your example uses dict more like a JS object, so all keys have semantic meaning. For such cases there is a [`typing.TypedDict`](https://docs.python.org/3/library/typing.html#typing.TypedDict), which allows you to annotate all dict keys with types. This is important, if your dict can contain some objects of other types: if it&#39;s `{&#39;position&#39;: 1, &#39;key&#39;: &#39;foo&#39;}`, then the type would&#39;ve been `dict[str, int | str]`, and `mypy` will point out invalid comparison (`int | str` is not comparable). With `TypedDict`, this problem won&#39;t arise:
```python
from typing import TypedDict
class MyItem(TypedDict):
    position: int
    key: str
condition = True
def my_function() -&gt; list[MyItem]:
    data: list[MyItem] = []
    # Populate data ...
    if condition:
        data.sort(key=lambda x: x[&quot;position&quot;])
    return data