在Python中合并多个JSON文件的问题
[英]Issue with merging multiple JSON files in Python
问题描述
I am trying to combine multiple JSON files in a Ubuntu platform. 
我试图在Ubuntu平台中组合多个JSON文件。 As an example, the data from two files are as follows: 例如，两个文件中的数据如下：
File_1 File_1
{
"artist":"Gob",
"timestamp":"2011-08-09 01:59:41.352247",
"similars":[
[
"TRTOVWD128F92F4227",
1
],
[
"TRUXNUD128F92F41D0",
0.97294099999999994
],
[
"TRNNOJO128F42992E9",
0.073926900000000004
],
[
"TRGZHTT128F423B2A4",
0.068387699999999996
],
[
"TRGYKYD128F42625F6",
0.065579700000000005
],
[
"TRGIWHY128F42625F5",
0.064063700000000001
],
[
"TRJCJTX128F930CACE",
0.063140100000000005
],
[
"TRMYNWT128F426254B",
0.0613825
],
[
"TRRQOJI128F428C865",
0.061121599999999998
],
[
"TRBNYHM128F428A569",
0.061121599999999998
],
[
"TRDLOYE128F4241E72",
0.060951900000000003
],
[
"TRNRVEW12903CBA24F",
0.060332700000000003
],
[
"TRKKIPG12903CBA083",
0.060155
],
[
"TRZHTGP128F428A63B",
0.059873599999999999
],
[
"TRKQSGZ128F428A851",
0.059873599999999999
],
[
"TRTOPDF128F42AD88A",
0.059687799999999999
],
[
"TRIWOPM128F4241E53",
0.058958900000000002
],
[
"TRCCJUW128F14652DB",
0.057935
],
[
"TRERDDF128F428ECC4",
0.057566600000000002
],
[
"TROKWNN128F421A3D8",
0.057379800000000002
],
[
"TRWGOOK128F42AE765",
0.057125000000000002
],
[
"TRFMNKP128F428ADC0",
0.056875099999999998
],
[
"TRDMLZT128F42A01A8",
0.055808900000000002
],
[
"TRGCJVM128E0780E48",
0.0547389
],
[
"TRRXGAY128F14652D7",
0.0538065
],
[
"TRIPEHH128F1462DFF",
0.052843000000000001
],
[
"TRDUOIP128F147D5A7",
0.051851500000000002
],
[
"TRZCHHD12903CC80A1",
0.051251699999999997
],
[
"TRFDDQS128F426243F",
0.051018300000000003
],
[
"TRZDKAR128F42591B8",
0.050740899999999999
],
[
"TRDVXUG128F1456CBF",
0.050486299999999998
],
[
"TRULRYN128F145FC1C",
0.050219800000000002
],
[
"TRMOWIA128F425CE0F",
0.049977500000000001
],
[
"TRUVPMZ128F42B6DF3",
0.049762000000000001
],
[
"TRSBDWW128F4262666",
0.049643699999999999
],
[
"TRKPHWQ128F4264F8C",
0.0495173
],
[
"TRBBLXU128F42623A1",
0.049416700000000001
],
[
"TRJKLLM128F1456C57",
0.049001599999999999
],
[
"TRSAAEI128F4216C24",
0.048813500000000003
],
[
"TRFXICT128F4264F8A",
0.048776199999999999
],
[
"TRINVLH12903CBE5A1",
0.048334500000000002
],
[
"TRMUUJR128F4262475",
0.048306500000000002
],
[
"TRTORTD128F1456AFA",
0.0468265
],
[
"TRECUJO12903CA7120",
0.046065599999999998
],
[
"TRXIRBQ128F93431BB",
0.0456938
],
[
"TRFDDVK128F42B6DF0",
0.045623799999999999
],
[
"TRSRGPM128F421A30B",
0.043976800000000003
],
[
"TRVUPPR128F429507D",
0.042872500000000001
],
[
"TRMHCZC128F428A4CD",
0.040675200000000002
],
[
"TRUFDRV128F4262352",
0.040675200000000002
],
[
"TRUZZHT128F93229AF",
0.039422199999999998
],
[
"TRLSIHL128F429AF18",
0.039002099999999998
],
[
"TRGETCK128F1460DB1",
0.038499499999999999
],
[
"TRSXXNU128F428AEF2",
0.038303799999999999
],
[
"TRFZXSY128F9330D9F",
0.037855199999999999
],
[
"TRPHFYF128F92F27FA",
0.037772100000000003
],
[
"TRNRHSL128F9337B55",
0.036998000000000003
],
[
"TRPTGNZ128F421A56B",
0.036713099999999999
],
[
"TRPAASI128F9337B6E",
0.036410499999999998
],
[
"TRGCROO128F93431C4",
0.035754300000000003
],
[
"TRCUHZL128F4235446",
0.034968699999999998
],
[
"TRDPOTJ128F429AF0C",
0.034860500000000003
],
[
"TROZUXM128F42790A2",
0.0346483
],
[
"TRJVLOQ128F9345A82",
0.034547799999999997
],
[
"TRQTFRP128F145FC1E",
0.033934600000000002
],
[
"TRQEWHR128F421A3F5",
0.032314599999999999
],
[
"TRNTPJA128F4265039",
0.030702900000000002
],
[
"TRDGXWY12903CF52BD",
0.030292300000000001
],
[
"TRBLEMZ128F93102D0",
0.029224300000000002
],
[
"TRBUUYO128F421A405",
0.028448500000000002
],
[
"TREVBDI12903CED7E6",
0.0279674
],
[
"TRKREBF128F429B317",
0.0258321
],
[
"TRZBYPR128F4233A8D",
0.025655000000000001
],
[
"TRTAZUQ12903CFEA78",
0.024545399999999998
],
[
"TRAIPRO128F429AE69",
0.024304699999999999
],
[
"TRTTVUZ128F92FADD3",
0.023320899999999999
],
[
"TRUYEJI128F4265041",
0.022173700000000001
],
[
"TRAXVGT128F9344507",
0.0213992
],
[
"TRJJBLH128F4260DA1",
0.0175365
],
[
"TRAMCWR128F4233F7F",
0.0161158
],
[
"TRXBLME128F424330F",
0.015760900000000001
],
[
"TRMUQXM128F4260D99",
0.015696000000000002
],
[
"TRHRZBJ128EF345514",
0.0156951
],
[
"TRJXIBT128F42454DB",
0.014519199999999999
],
[
"TRTHPOY128F9345AA5",
0.0137264
],
[
"TRRFGJU128F933B2E6",
0.0012336199999999999
],
[
"TRMYJUA128F428A590",
0.00123149
],
[
"TRNMVTE128F933B2EC",
0.00122703
],
[
"TRYALZM128F1483C7D",
0.0012245299999999999
],
[
"TRZVEJU128F4234F4E",
0.00121805
],
[
"TRQAZDO128F145639F",
0.0012166600000000001
],
[
"TRJXNJM12903CF57ED",
0.0012155
],
[
"TRVAOGO128F427C9D6",
0.00120951
],
[
"TRZMZDS128F422843B",
0.0012065000000000001
],
[
"TRXIEOF12903CE8212",
0.0012058699999999999
],
[
"TRPVVUG128F42A36AA",
0.0012057599999999999
],
[
"TRXGVXS128F428AA5C",
0.0012019400000000001
],
[
"TRUBOGF128E078A5B9",
0.0012017900000000001
],
[
"TRITZSB128F4277CC2",
0.0012014
],
[
"TRGHPHX128F9343544",
0.0011975600000000001
],
[
"TRUKWPE128F428114F",
0.00119666
],
[
"TROBGRB128F93229AB",
0.0011964199999999999
],
[
"TRGKTMW12903CFAE65",
0.00119637
]
],
"tags":[
[
"punk rock",
"100"
],
[
"punk",
"60"
]
],
"track_id":"TRAAAFD128F92F423A",
"title":"Face the Ashes"
}
File_2 File_2
{
"artist":"CLP",
"timestamp":"2011-08-02 06:36:59.879759",
"similars":[
],
"tags":[
],
"track_id":"TRAAAVG12903CFA543",
"title":"Insatiable (Instrumental Version)"
}
I wrote a Python script to combine them. 我写了一个Python脚本来组合它们。 I added a new line and a comma after each record. 我在每条记录后添加了一个新行和一个逗号。
import glob
read_files = glob.glob("*.json")
with open("merged_file.json", "wb") as outfile:
for f in read_files:
with open(f, "rb") as infile:
outfile.write(infile.read())
outfile.write(',\n')
The output from the merge file is: 合并文件的输出是：
{
"artist":"Gob",
"timestamp":"2011-08-09 01:59:41.352247",
"similars":[
[
"TRTOVWD128F92F4227",
1
],
[
"TRUXNUD128F92F41D0",
0.97294099999999994
],
[
"TRNNOJO128F42992E9",
0.073926900000000004
],
[
"TRGZHTT128F423B2A4",
0.068387699999999996
],
[
"TRGYKYD128F42625F6",
0.065579700000000005
],
[
"TRGIWHY128F42625F5",
0.064063700000000001
],
[
"TRJCJTX128F930CACE",
0.063140100000000005
],
[
"TRMYNWT128F426254B",
0.0613825
],
[
"TRRQOJI128F428C865",
0.061121599999999998
],
[
"TRBNYHM128F428A569",
0.061121599999999998
],
[
"TRDLOYE128F4241E72",
0.060951900000000003
],
[
"TRNRVEW12903CBA24F",
0.060332700000000003
],
[
"TRKKIPG12903CBA083",
0.060155
],
[
"TRZHTGP128F428A63B",
0.059873599999999999
],
[
"TRKQSGZ128F428A851",
0.059873599999999999
],
[
"TRTOPDF128F42AD88A",
0.059687799999999999
],
[
"TRIWOPM128F4241E53",
0.058958900000000002
],
[
"TRCCJUW128F14652DB",
0.057935
],
[
"TRERDDF128F428ECC4",
0.057566600000000002
],
[
"TROKWNN128F421A3D8",
0.057379800000000002
],
[
"TRWGOOK128F42AE765",
0.057125000000000002
],
[
"TRFMNKP128F428ADC0",
0.056875099999999998
],
[
"TRDMLZT128F42A01A8",
0.055808900000000002
],
[
"TRGCJVM128E0780E48",
0.0547389
],
[
"TRRXGAY128F14652D7",
0.0538065
],
[
"TRIPEHH128F1462DFF",
0.052843000000000001
],
[
"TRDUOIP128F147D5A7",
0.051851500000000002
],
[
"TRZCHHD12903CC80A1",
0.051251699999999997
],
[
"TRFDDQS128F426243F",
0.051018300000000003
],
[
"TRZDKAR128F42591B8",
0.050740899999999999
],
[
"TRDVXUG128F1456CBF",
0.050486299999999998
],
[
"TRULRYN128F145FC1C",
0.050219800000000002
],
[
"TRMOWIA128F425CE0F",
0.049977500000000001
],
[
"TRUVPMZ128F42B6DF3",
0.049762000000000001
],
[
"TRSBDWW128F4262666",
0.049643699999999999
],
[
"TRKPHWQ128F4264F8C",
0.0495173
],
[
"TRBBLXU128F42623A1",
0.049416700000000001
],
[
"TRJKLLM128F1456C57",
0.049001599999999999
],
[
"TRSAAEI128F4216C24",
0.048813500000000003
],
[
"TRFXICT128F4264F8A",
0.048776199999999999
],
[
"TRINVLH12903CBE5A1",
0.048334500000000002
],
[
"TRMUUJR128F4262475",
0.048306500000000002
],
[
"TRTORTD128F1456AFA",
0.0468265
],
[
"TRECUJO12903CA7120",
0.046065599999999998
],
[
"TRXIRBQ128F93431BB",
0.0456938
],
[
"TRFDDVK128F42B6DF0",
0.045623799999999999
],
[
"TRSRGPM128F421A30B",
0.043976800000000003
],
[
"TRVUPPR128F429507D",
0.042872500000000001
],
[
"TRMHCZC128F428A4CD",
0.040675200000000002
],
[
"TRUFDRV128F4262352",
0.040675200000000002
],
[
"TRUZZHT128F93229AF",
0.039422199999999998
],
[
"TRLSIHL128F429AF18",
0.039002099999999998
],
[
"TRGETCK128F1460DB1",
0.038499499999999999
],
[
"TRSXXNU128F428AEF2",
0.038303799999999999
],
[
"TRFZXSY128F9330D9F",
0.037855199999999999
],
[
"TRPHFYF128F92F27FA",
0.037772100000000003
],
[
"TRNRHSL128F9337B55",
0.036998000000000003
],
[
"TRPTGNZ128F421A56B",
0.036713099999999999
],
[
"TRPAASI128F9337B6E",
0.036410499999999998
],
[
"TRGCROO128F93431C4",
0.035754300000000003
],
[
"TRCUHZL128F4235446",
0.034968699999999998
],
[
"TRDPOTJ128F429AF0C",
0.034860500000000003
],
[
"TROZUXM128F42790A2",
0.0346483
],
[
"TRJVLOQ128F9345A82",
0.034547799999999997
],
[
"TRQTFRP128F145FC1E",
0.033934600000000002
],
[
"TRQEWHR128F421A3F5",
0.032314599999999999
],
[
"TRNTPJA128F4265039",
0.030702900000000002
],
[
"TRDGXWY12903CF52BD",
0.030292300000000001
],
[
"TRBLEMZ128F93102D0",
0.029224300000000002
],
[
"TRBUUYO128F421A405",
0.028448500000000002
],
[
"TREVBDI12903CED7E6",
0.0279674
],
[
"TRKREBF128F429B317",
0.0258321
],
[
"TRZBYPR128F4233A8D",
0.025655000000000001
],
[
"TRTAZUQ12903CFEA78",
0.024545399999999998
],
[
"TRAIPRO128F429AE69",
0.024304699999999999
],
[
"TRTTVUZ128F92FADD3",
0.023320899999999999
],
[
"TRUYEJI128F4265041",
0.022173700000000001
],
[
"TRAXVGT128F9344507",
0.0213992
],
[
"TRJJBLH128F4260DA1",
0.0175365
],
[
"TRAMCWR128F4233F7F",
0.0161158
],
[
"TRXBLME128F424330F",
0.015760900000000001
],
[
"TRMUQXM128F4260D99",
0.015696000000000002
],
[
"TRHRZBJ128EF345514",
0.0156951
],
[
"TRJXIBT128F42454DB",
0.014519199999999999
],
[
"TRTHPOY128F9345AA5",
0.0137264
],
[
"TRRFGJU128F933B2E6",
0.0012336199999999999
],
[
"TRMYJUA128F428A590",
0.00123149
],
[
"TRNMVTE128F933B2EC",
0.00122703
],
[
"TRYALZM128F1483C7D",
0.0012245299999999999
],
[
"TRZVEJU128F4234F4E",
0.00121805
],
[
"TRQAZDO128F145639F",
0.0012166600000000001
],
[
"TRJXNJM12903CF57ED",
0.0012155
],
[
"TRVAOGO128F427C9D6",
0.00120951
],
[
"TRZMZDS128F422843B",
0.0012065000000000001
],
[
"TRXIEOF12903CE8212",
0.0012058699999999999
],
[
"TRPVVUG128F42A36AA",
0.0012057599999999999
],
[
"TRXGVXS128F428AA5C",
0.0012019400000000001
],
[
"TRUBOGF128E078A5B9",
0.0012017900000000001
],
[
"TRITZSB128F4277CC2",
0.0012014
],
[
"TRGHPHX128F9343544",
0.0011975600000000001
],
[
"TRUKWPE128F428114F",
0.00119666
],
[
"TROBGRB128F93229AB",
0.0011964199999999999
],
[
"TRGKTMW12903CFAE65",
0.00119637
]
],
"tags":[
[
"punk rock",
"100"
],
[
"punk",
"60"
]
],
"track_id":"TRAAAFD128F92F423A",
"title":"Face the Ashes"
},
{
"artist":"CLP",
"timestamp":"2011-08-02 06:36:59.879759",
"similars":[
],
"tags":[
],
"track_id":"TRAAAVG12903CFA543",
"title":"Insatiable (Instrumental Version)"
}
When I validate these records using JSON Lint ( http://jsonlint.com/ ), it tells me that the file is broken and not a valid JSON. 当我使用JSON Lint（ http://jsonlint.com/ ）验证这些记录时，它告诉我该文件已损坏而且不是有效的JSON。 even after spending quite sometime, I am not able to figure out what is going wrong with the merging. 即使花了很长时间，我也无法弄清楚合并的问题。 It would be helpful is anyone has any thoughts on this. 任何人对此有任何想法都会有所帮助。
5 个解决方案
解决方案1
17 已采纳 2014-05-07 14:31:35
You can't just concatenate two JSON strings to make valid JSON (or combine them by tacking ',\\n' to the end of each). 你不能只是连接两个JSON字符串来制作有效的JSON （或者通过在每个字符串的末尾加上',\\n'来组合它们）。 Instead, you could combine the two (as Python objects) into a Python list, then use json.dump to write it to a file as JSON: 相反，您可以将两个（作为Python对象）组合到Python列表中，然后使用json.dump将其作为JSON写入文件：
import json
import glob
result = []
for f in glob.glob("*.json"):
with open(f, "rb") as infile:
result.append(json.load(infile))
with open("merged_file.json", "wb") as outfile:
json.dump(result, outfile)
If you wanted to do it without the (unnecesssary) intermediate step of parsing each JSON file, you could merge them into a list like this: 如果你想在没有解决每个JSON文件的（不必要的）中间步骤的情况下这样做，你可以将它们合并到这样的列表中：
import glob
read_files = glob.glob("*.json")
with open("merged_file.json", "wb") as outfile:
outfile.write('[{}]'.format(
','.join([open(f, "rb").read() for f in read_files])))
解决方案2
3 2014-05-07 14:31:23
Your generated JSON isn't valid. 生成的JSON无效。 You end up with something like: 你最终会得到类似的东西：
{...}, {...}
which, of course, is not valid. 当然，这是无效的。
If you want to go with your approach, you should remove the last } and the first { from the new file, and then merge them (you still have to be sure that the JSON files you want to merge are in a valid format). 如果你想采用你的方法，你应该删除最后一个}和第一个{来自新文件，然后合并它们（你仍然需要确保要合并的JSON文件是有效格式）。
I suggest I use the json module for what you need to achieve, it is cleaner. 我建议我使用json模块来实现你需要的东西，它更清洁。
解决方案3
3 2018-06-27 07:20:04
There is a module called jsonmerge which merges dictionaries. 有一个名为jsonmerge的模块可以合并字典。 It can be used very simple by just providing two dictionaries or you can define schema's that described how to merge, like instead of overwriting same key's, automatically create a list and append to it. 通过提供两个字典可以非常简单地使用它，或者您可以定义描述如何合并的模式，而不是覆盖相同的键，自动创建列表并附加到它。
base = {
"foo": 1,
"bar": [ "one" ],
}
head = {
"bar": [ "two" ],
"baz": "Hello, world!"
}
from jsonmerge import merge
result = merge(base, head)
print(result)
>>> {'foo': 1, 'bar': ['two'], 'baz': 'Hello, world!'}
More examples with complex rules: https://pypi.org/project/jsonmerge/#description 更复杂规则的示例： https ： //pypi.org/project/jsonmerge/#description
解决方案4
2 2014-05-07 14:32:17
If you wanted to produce a JSON list of those objects, you are missing opening [ and closing ] brackets here, and will have written one comma too many. 如果你想生成这些对象的JSON 列表 ，那么你在这里缺少打开[和关闭]括号，并且会写一个逗号太多。
It'll be easier to have Python decode the objects, then write the output as a new JSON list: 让Python解码对象会更容易，然后将输出写为新的JSON列表：
import json
import glob
read_files = glob.glob("*.json")
output_list = []
for f in read_files:
with open(f, "rb") as infile:
output_list.append(json.load(infile))
with open("merged_file.json", "wb") as outfile:
json.dump(output_list, outfile)
解决方案5
1 2017-04-14 13:59:19
Python solution: Python解决方案：
You have file1.json and file2.json files. 你有file1.json和file2.json文件。
Each file has structure: 每个文件都有结构：
[{"key1": "value1"}] - (in file1)
[{"key2": "value2"}] - (in file2)
And your goal to merge them and get next view: 您的目标是合并它们并获得下一个视图：
[{"key1": "value1"},
{"key2": "value2"}]
Code: 码：
import glob
glob_data = []
for file in glob.glob('../../file*.json'):
with open(file) as json_file:
data = json.load(json_file)
i = 0
while i < len(data):
glob_data.append(data[i])
i += 1
with open('../../finalFile.json', 'w') as f:
json.dump(glob_data, f, indent=4)
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