How to apply if condtion and apply to dataframe

Need to check the 'detected' key of bool3_res with key is_doc1 of bool_res and bool_2 res

1. if bool3_res['detected'] == bool1_res['is_doc1'] == True then my resp has to return

2. if bool3_res['detected'] == bool2_res['is_doc1'] == True then my resp has to return\

3: else return 'Not valid'

Data frame

user_uid,bool1,bool2,bool3,bool1_res,bool2_res,bool3_res
1001,27452.webp,981.webp,d92e.webp,"{'is_doc1': False, 'is_doc2': True}","{'is_doc1': True, 'is_doc2': True}","{'detected': True, 'count': 1}"
1002,27452.webp,981.webp,d92e.webp,"{'is_doc1': True, 'is_doc2': True}","{'is_doc1': False, 'is_doc2': True}","{'detected': True, 'count': 1}"

My code

def new_func(x):
    d1 = df['bool1_res'].to_dict()
    d1 = eval(d1[0])
    d2 = df['bool2_res'].to_dict()
    d2 = eval(d2[0])
    d3 = df['bool3_res'].to_dict()
    d3 = eval(d3[0])

    if d1['is_doc1'] == d3['detected'] == True:
        resp = {
            "task_id": "uid",
            "group_id": "uid",
            "data": {
            "document1": df['bool1'],
            "document2": df['bool3']
            }
            }

    elif d2['is_doc1'] == d3['detected'] == True:
        resp = {
            "task_id": "user_uid",
            "group_id": "uid",
            "data": {
            "document1": df['bool2'],
            "document2": df['bool3']
            }
            }
    elif d3['detected'] == False:
        resp = 'Not valid'
    else:
        resp = 'Not valid'
    return resp
df['new'] = df.apply(new_func, axis = 1)
#df['new'] = df[['bool1', 'bool2', 'bool3', 'bool1_res', 'bool2_res', 'bool3_res']].applymap(new_func)

My expected out

df['new']

{'u_id': 'uid', 'group': 'uid', 'data': {'document1': ['981.webp'], 'document2': {'d92e.webp'}}}"
{'u_id': 'uid', 'group': 'uid', 'data': {'document1': ['27452.webp'], 'document2': {'d92e.webp'}}}"

My Out df['new']

0    {'task_id': 'user_uid', 'group_id': 'uid', 'data': {'document1': ['981.webp', '981.webp'], 'document2': ['d92e.webp', 'd92e.webp']}}
1    {'task_id': 'user_uid', 'group_id': 'uid', 'data': {'document1': ['981.webp', '981.webp'], 'document2': ['d92e.webp', 'd92e.webp']}}
Name: new, dtype: object

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