JSON不是有效的EOF（Python）

我试图使用以下代码构建JSON，但jsonlint表示它无效，并以EOF错误结束。 错误是我必须分离输出，但我的目标是拥有一个JSON文件

以下是我正在使用的代码：

t = 0
p = []
nome_b = (bollist[0])
p_causale = (causalestr) #contains a string

for item in jsonlist:
    predizione = (jsonlist[t])

    bollettini = {'Nome bollettino': str(nome_b)}
    causale = {'Stringa Causale': str(p_causale)}
    numero = {'Numero': str(predizione)}

    t += 1
    p.append([bollettini]+[causale]+[numero])

if not y: 
    jsontxt = ('Not found')
else:
    #jsontxt = ([bollettini],[causale],[numero])
    jsontxt = (p)

with open((TXT.txt'), 'a', encoding='utf-8') as outfile:
    json.dump(jsontxt, outfile)

这是输出：

[[{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "0[(96.48 % n: 0) (3.37 % n: 9) (0.06 % n: 4)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "2[(36.17 % n: 2) (25.01 % n: 0) (18.48 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "6[(99.9 % n: 6) (0.09 % n: 4) (0.0 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "5[(99.98 % n: 5) (0.01 % n: 3) (0.0 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "4[(84.76 % n: 4) (7.63 % n: 0) (2.08 % n: 6)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "8[(89.88 % n: 8) (8.87 % n: 9) (1.11 % n: 5)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "9[(84.29 % n: 9) (8.23 % n: 8) (6.79 % n: 0)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "026554891"}, {"Numero": "1[(99.99 % n: 1) (0.0 % n: 9) (0.0 % n: 8)]"}]][[{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "4[(80.03 % n: 4) (18.44 % n: 1) (0.69 % n: 3)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "6[(99.91 % n: 6) (0.04 % n: 0) (0.03 % n: 4)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "0[(99.99 % n: 0) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "2[(99.86 % n: 2) (0.12 % n: 8) (0.01 % n: 3)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "9[(99.07 % n: 9) (0.83 % n: 8) (0.04 % n: 5)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "3[(99.99 % n: 3) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "1[(50.74 % n: 1) (40.73 % n: 7) (5.93 % n: 5)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "5[(36.81 % n: 5) (29.07 % n: 8) (16.1 % n: 6)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "6[(98.46 % n: 6) (0.66 % n: 4) (0.64 % n: 2)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "45602931566"}, {"Numero": "6[(69.49 % n: 6) (20.06 % n: 1) (6.35 % n: 8)]"}]][[{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "5[(60.71 % n: 5) (29.06 % n: 8) (8.77 % n: 7)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "7[(85.45 % n: 7) (8.71 % n: 9) (1.92 % n: 0)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "1[(99.99 % n: 1) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "1[(99.18 % n: 1) (0.42 % n: 2) (0.39 % n: 4)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "8[(99.98 % n: 8) (0.01 % n: 2) (0.0 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "7[(99.8 % n: 7) (0.12 % n: 3) (0.04 % n: 4)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "6[(99.99 % n: 6) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "8[(59.18 % n: 8) (32.39 % n: 2) (6.08 % n: 6)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "1[(99.99 % n: 1) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "1[(95.61 % n: 1) (3.78 % n: 2) (0.48 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "5711587681155"}, {"Numero": "5[(99.85 % n: 5) (0.14 % n: 8) (0.0 % n: 9)]"}]][[{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "1[(75.32 % n: 1) (24.4 % n: 2) (0.26 % n: 4)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "8[(99.97 % n: 8) (0.01 % n: 2) (0.0 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "7[(99.99 % n: 7) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "7[(64.8 % n: 7) (35.17 % n: 2) (0.0 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "8[(97.63 % n: 8) (1.19 % n: 3) (1.14 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "5[(80.64 % n: 5) (18.03 % n: 3) (0.81 % n: 7)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "158775853"}, {"Numero": "3[(99.99 % n: 3) (0.0 % n: 9) (0.0 % n: 8)]"}]][[{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "1[(99.99 % n: 1) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "4[(80.31 % n: 4) (10.32 % n: 1) (5.49 % n: 2)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "1[(99.43 % n: 1) (0.31 % n: 2) (0.22 % n: 7)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "1[(92.47 % n: 1) (4.77 % n: 4) (2.64 % n: 6)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "5[(99.99 % n: 5) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "8[(99.42 % n: 8) (0.56 % n: 2) (0.01 % n: 3)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "8[(99.99 % n: 8) (0.0 % n: 9) (0.0 % n: 7)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "3[(98.3 % n: 3) (1.69 % n: 5) (0.0 % n: 9)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "3[(99.99 % n: 3) (0.0 % n: 9) (0.0 % n: 8)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "7[(98.05 % n: 7) (1.5 % n: 2) (0.42 % n: 4)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "0[(80.66 % n: 0) (18.98 % n: 2) (0.23 % n: 1)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "8[(31.61 % n: 8) (28.47 % n: 4) (23.53 % n: 6)]"}], [{"Nome bollettino": "BR_3_VE33491116420151103K000351FA.png"}, {"Stringa Causale": "1411588337082"}, {"Numero": "2[(66.61 % n: 2) (26.19 % n: 4) (4.39 % n: 8)]"}]]"Not Found"

如果你试图这么做，它会说这是无效的。 我怎样才能解决这个问题？ 另外，我如何将“Nome bollettino”作为其他所有对象的根？ 我是说，像这样：

- Nome bollettino:
   - Stringa Causale:
      - Numero:

data = []
for item in jsonList:
    ... # do something
    data.append(newItem) # newItem is your final json sub-structure

with open(..., 'w', encoding='utf-8') as f:
    json.dump(data, f)

---

您在append模式下打开了输出文件

'a'

，这意味着您有两位json，一位接一位，结果不是一个json值

---

您不能将json字符串附加到文本文件，而期望生成的文件是有效的json。改为以

'w'

模式打开文件，您将覆盖旧值。

看起来您正在向文件添加单独的JSON结构，这很好-这是一个文件。但是，

json.dump

不会在数据后自动添加换行分隔符。你得自己做

with open(...) as outfile:
    json.dump(jsontxt, outfile)
    outfile.write('\n')

验证JSON时，分别验证每一行

---

如果您想将JSON合并为一个JSON，您需要将所有内容累积在一个循环中，并在最后转储。应该是这样的：

- Nome bollettino:
   - Stringa Causale:
      - Numero:

data = []
for item in jsonList:
    ... # do something
    data.append(newItem) # newItem is your final json sub-structure

with open(..., 'w', encoding='utf-8') as f:
    json.dump(data, f)

---

为什么要在末尾添加

“Not Found”

？如果一个对象是空的，我添加了一个字符串，告诉我它被识别了，但…是空的。这显然不是您真正的代码，因为

TXT.TXT'

在开始时缺少

'

。显示真实的代码。尝试以同样的错误生成较小的输出。@chepner，好吧，哪种类型？所有的输出都与上面的一样。。也许覆盖不是OP想要的？@BlueTrack在这种情况下发布实际的代码，并说明您想要得到什么作为输出：您想要一个文件中有一个json对象，还是一个文件中有许多单独的json对象？代码是否已满并不重要。只是在引擎上面是一个for循环。我的输出应该如上所述，但JSON有效。我的意思是，如果你看一下验证器，它在[括号]上写着EOF。我不想…有点难以解释..代码中有一个确切的OUF文件（注释）但我现在不使用它，因为它不符合我的要求。它无论如何都是无效的，即使有换行符。@BlueTrack重点是让每个单独的JSON都有效。如果你试图将它们合并在一起，那就是一个完全不同的野兽，你应该提到。是的，就是这样，我想合并它们。事实上，我做了一个测试文件，一个单个有效的json，多行合并在一起。@BlueTrack在这种情况下，将您的结构作为列表保存在内存中，继续添加到列表中，然后执行最后一个

json.dump

。这就是我们通常的做法。您能给我举个例子吗？我必须“触摸”的地方代码？以上是我在整个脚本中关于json的所有内容。。。