資料等處理

我有以下資料并想驗證它的值integer，float或者string 屬性::: id metric attribute::: name points attribute::: cake_name None attribute::: time None attribute::: time None ["key 'id'不是字串，得到 None”，“key 'metric' 不是整數，得到 <class 'str'>”，“key 'points' 不是整數，得到 <class 'NoneType'>”]

uj5u.com熱心網友回復：

我的解決方案是遞回解決方案，用于讀取嵌套的 json 資料。

from functools import partial
from typing import Union, Callable
import json

def get_output(key, val, string_keys: list, int_keys: list, float_keys: list):
    out = None
    if key in string_keys:
        if not isinstance(val, str):
            out = f"key '{key}' is not a string, got {type(val)}"
    elif key in int_keys:
        if not isinstance(val, int):
            out = f"key '{key}' is not a integer, got {type(val)}"
    elif key in float_keys:
        if not isinstance(val, float):
            out = f"key '{key}' is not a float, got {type(val)}"
    return out

def explore_json(json: Union[dict, list], validator: Callable):
    result = []
    if isinstance(json, dict):
        for key, val in json.items():
            if isinstance(val, (dict, list)):
                result.extend(explore_json(val, validator))
            else: 
                out = validator(key, val)
                if out is not None:
                    result.append(out) 
    elif isinstance(json, list):
        for val in json:
             result.extend(explore_json(val, validator))
    return result

data = json.loads(json_data)
explore_json(data, validator)
                          
validator = partial(get_output,
                    string_keys=["id", "name", "cake_name", "time"], 
                    int_keys=['metric','points'], 
                    float_keys=["LA:TB2342", "LA:TB2341", "LA:TB2344"])
data = json.loads(json_data)
explore_json(data, validator)

這個的輸出是：

["key 'id' is not a string, got <class 'NoneType'>",
 "key 'metric' is not a integer, got <class 'str'>",
 "key 'LA:TB2342' is not a float, got <class 'str'>"]

偏函式的先進之處在于我們可以為每個特定的 json 設定一個驗證器。

此外，請注意，只有string_keys, int_keys, float_keys在我們特定驗證器中定義的串列中的鍵才能在輸出串列中，任何不在這些串列中的鍵都不會被驗證。

最后，我不確定串列是否與您的相同，但只需更改它們并檢查輸出即可。

編輯用于跟蹤父鍵：

def explore_json(json: Union[dict, list], validator: Callable, parent_key=" parent_key:"):
    result = []
    if isinstance(json, dict):
        for key, val in json.items():
            if isinstance(val, (dict, list)):
                #result = explore_json(val, validator, result)
                result.extend(explore_json(val, validator, f"{parent_key}.{key}"))
            else: 
                out = validator(key, val)
                if out is not None:
                    if parent_key != " parent_key:":
                        out  = parent_key
                    result.append(out) 
    elif isinstance(json, list):
        for block_num, val in enumerate(json):
            result.extend(explore_json(val, validator, f"{parent_key}.item{block_num}"))
            # result = explore_json(val, validator, result)
    return result

輸出：

["key 'id' is not a string, got <class 'NoneType'>",
 "key 'metric' is not a integer, got <class 'str'>",
 "key 'LA:TB2342' is not a float, got <class 'str'> parent_key:.anticipations.item1.top_properties"]

item1 表示錯誤在關鍵預期串列的第一個元素中

標籤：Python json python-3.x 验证 jsonschema

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