如何遍历完整JSON结构并提取符合条件的三类信息？

需求说明 #

我有一个由字典组成列表的复杂JSON对象，需按以下逻辑提取信息：

• 遍历列表中每个对象的document_tree数组，若元素type以'H'开头且包含child数组，则进入child数组检查子元素type：
  • 若子元素type为HTML：拼接所有该类型元素的value字符串，同时记录这些元素的id，并将拼接结果附加到父元素的value；
  • 若子元素type不为HTML：仅记录父元素的value，父元素无id则记录空字符串，有则记录对应值。
    期望输出适配Pandas格式（如字典、DataFrame等）。

现有问题 #

当前代码无法完整遍历结构，无法提取子元素非HTML时的父元素value及对应ID，仅能部分提取父子节点值。

现有代码 #

def extract_values_from_child_array(data):
    results = {}
    for d in data:
        if "document_tree" in d:
            for t in d["document_tree"]:
                if t["type"].startswith("H"):
                    current_type = t["value"]
                    if "child" in t:
                        for c in t["child"]:
                            if c["type"].startswith("H"):
                                current_type = c["value"]
                                if current_type not in results:
                                    results[current_type] = ""
                            elif c["type"] == "HTML":
                                if current_type not in results:
                                    results[current_type] = ""
                                results[current_type] += c["value"]
                            if "child" in c:
                                for gc in c["child"]:
                                    if gc["type"] == "HTML":
                                        if current_type not in results:
                                            results[current_type] = ""
                                        results[current_type] += gc["value"]
    return results

results1 = extract_values_from_child_array(data1)

JSON树形结构示例 #

[
    {
        "id": "1",
        "key": "example_1",
        "number": 1,
        "result_title": "Result Title 1",
        "result_url": "https://example.com/result_1",
        "document_tree": [
            {
                "type": "H1",
                "value": "Dog, facts and photos",
                "child": [
                    {
                        "type": "H1",
                        "value": "Domestic dog",
                        "child": [
                            {
                                "type": "HTML",
                                "key": "090b4d91",
                                "id": "090b4d91",
                                "value": "mostly kept as pets"
                            }
                        ],
                        "id": "1",
                        "key": "key_1"
                    }
                ],
                "featured_image_url": "https://example.com/featured_image_1.jpg",
                "hidden": 0,
                "domain": "example.com",
                "result_preview_text": "Result Preview Text 1"
            },
            {
                "id": "2",
                "key": "example_2",
                "number": 2,
                "result_title": "Result Title 2",
                "result_url": "https://example.com/result_2",
                "document_tree": [
                    {
                        "type": "H1",
                        "value": "Dog - Wikipedia",
                        "child": [
                            {
                                "type": "H1",
                                "value": "Dog",
                                "child": [
                                    {
                                        "type": "HTML",
                                        "key": "c6edc846",
                                        "id": "c6edc846",
                                        "value": "Domesticated canid species"
                                    },
                                    {
                                        "type": "HTML",
                                        "key": "e1689ad9",
                                        "id": "e1689ad9",
                                        "value": "\"Pooch\" For other ."
                                    },
                                    {
                                        "type": "HTML",
                                        "key": "0c95357e",
                                        "id": "0c95357e",
                                        "value": "\"Doggy\" Gmelin, 1792"
                                    }
                                ],
                                "featured_image_url": "https://example.com/featured_image_2.jpg",
                                "hidden": 1,
                                "domain": "example.com",
                                "result_preview_text": "Result Preview Text 2"
                            }
                        ]
                    }
                ]
            }
        ]
    }
]

内容的提问来源于stack exchange，提问作者RustyShackleford