vinay20045 / json-to-csv

Nested JSON to CSV Converter
https://askvinay.com/post/converting-nested-json-to-csv-8-december-2013.html
MIT License
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Nested Json to csv in python 3 #20

Closed ravikuc closed 6 years ago

ravikuc commented 6 years ago

I am trying to convert JSON data into a CSV in Python3, but it no longer works with this script, giving me different errors. Anyone know how to fix for Python 3? Thanks.

Below is my JSON data:

{ "fruit": [ { "name": "Apple", "binomial name": "Malus domestica", "major_producers": [ "China", "United States", "Turkey" ], "nutrition": { "carbohydrates": "13.81g", "fat": "0.17g", "protein": "0.26g" } }, { "name": "Orange", "binomial name": "Citrus x sinensis", "major_producers": [ "Brazil", "United States", "India" ], "nutrition": { "carbohydrates": "11.75g", "fat": "0.12g", "protein": "0.94g" } }, { "name": "Mango", "binomial name": "Mangifera indica", "major_producers": [ "India", "China", "Thailand" ], "nutrition": { "carbohydrates": "15g", "fat": "0.38g", "protein": "0.82g" } } ] }

ravikuc commented 6 years ago

The output CSV should look like: capture

vinay20045 commented 6 years ago

Hey, what's the error you are seeing?

Have you checked issue #18 ?

ravikuc commented 6 years ago

I am getting the below errors: IndexError: list index out of range 'dict_keys' object is not subscriptable TypeError: string indices must be integers

And, the output CSV file is not generating

vinay20045 commented 6 years ago

Alright, looks like wherever x.keys() is present, it fails in Python 3.X... It will take me some time to look into this in detail as I'm busy with something else at the moment :(

My suggestion to you would be to install Python2.7 in a different (non default) location and run the script with it.

If you happen to fix the issue though, please do submit a pull request and I will review it...

ravikuc commented 6 years ago

@vinay20045, Thanks for investing your valuable time to look into this. I tried with other versions as well, but am unable to get the solution, since my JSON file is a nested one and it has dictionaries. Kindly help me out in this case, it will be useful for me for generating my reports.

vinay20045 commented 6 years ago

Can you please give me a sample set from your actual JSON file? I will try to look into it later today...

ravikuc commented 6 years ago

@vinay20045, please find the below sample JSON file:

{ "took": 4, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 97, "max_score": 1, "hits": [ { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLeb3qumvXnGNd_lTy4", "_score": 1, "_source": { "input": { "crawlTime": 1524149962, "userId": "sushreel", "resolveAction": "RefreshCrawls", "description": "SEQ - Site Layout Change", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "ShoeMall" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAAmazon" ] }, "crawlPath": { "operator": "In", "operands": [ "" ] } } }, "countOfErrorsDeleted": 3324, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLeb3u2Y5GWheKz7x0d", "_score": 1, "_source": { "input": { "crawlTime": 1524150103, "userId": "sushreel", "resolveAction": "RefreshCrawls", "description": "SEQ - Site Layout Change", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "ShoeMall" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAAmazon" ] }, "crawlPath": { "operator": "In", "operands": [ "" ] } } }, "countOfErrorsDeleted": 1204, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLehfGtv1W4uL47gHcd", "_score": 1, "_source": { "input": { "crawlTime": 1524151741, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "Samsclub" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "22054-11792-11793-11798" ] } } }, "countOfErrorsDeleted": 3, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLeb31dltrfOSLGsOze", "_score": 1, "_source": { "input": { "crawlTime": 1524149962, "userId": "sushreel", "resolveAction": "RefreshCrawls", "description": "SEQ - Site Layout Change", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "ShoeMall" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAAmazon" ] }, "crawlPath": { "operator": "In", "operands": [ "" ] } } }, "countOfErrorsDeleted": 5217, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLeHG_cJkIL0Hdh_Csz", "_score": 1, "_source": { "input": { "crawlTime": 1524144818, "userId": "tanmoyb", "resolveAction": "RefreshCrawls", "description": "SEQ - Site Layout Change", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "MidwayUSA" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAAmazon" ] }, "crawlPath": { "operator": "In", "operands": [ "" ] } } }, "countOfErrorsDeleted": 145, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLennxmmvXnGNd_lXqu", "_score": 1, "_source": { "input": { "crawlTime": 1524153349, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "Walgreens" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "45820-40614" ] } } }, "countOfErrorsDeleted": 11, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLel2lAltrfOSLGsSOC", "_score": 1, "_source": { "input": { "crawlTime": 1524152885, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "Newegg" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "32737-21561" ] } } }, "countOfErrorsDeleted": 19, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLemTU3PJMavbrmft6k", "_score": 1, "_source": { "input": { "crawlTime": 1524153004, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - 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Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "Bhphotovideo" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "23710" ] } } }, "countOfErrorsDeleted": 2, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLeoKOcJkIL0Hdh_MrJ", "_score": 1, "_source": { "input": { "crawlTime": 1524153491, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "Walgreens" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "46115" ] } } }, "countOfErrorsDeleted": 1, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLek69vPJMavbrmftlH", "_score": 1, "_source": { "input": { "crawlTime": 1524152642, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "VitaCost" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "9382" ] } } }, "countOfErrorsDeleted": 1, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLemL8TfAcjqPFe0ygr", "_score": 1, "_source": { "input": { "crawlTime": 1524152973, "userId": "shahak", "resolveAction": "MarkAsPRM", "description": "SEQ - Invalid URL", "filters": { "clientId": { "operator": "In", "operands": [ "CRAWLER" ] }, "subqualifier": { "operator": "In", "operands": [ "DEFAULT" ] }, "competitor": { "operator": "In", "operands": [ "Newegg" ] }, "errorType": { "operator": "In", "operands": [ "SCRAPE_ERROR" ] }, "qualifier": { "operator": "In", "operands": [ "NEW" ] }, "namespace": { "operator": "In", "operands": [ "AMZN" ] }, "source": { "operator": "In", "operands": [ "ONLINE" ] }, "region": { "operator": "In", "operands": [ "NAMarketplace" ] }, "crawlPath": { "operator": "In", "operands": [ "32733" ] } } }, "countOfErrorsDeleted": 4, "countOfFailures": 0 } }, { "_index": "ues-log", "_type": "ResolveWorkItemLog", "_id": "AWLembryqm4M2SWd07Ao", "_score": 1, "_source": { "input": { "crawlTime": 1524152786, "userId": "tanmoyb", "resolveAction": "RefreshCrawls", "description": "SEQ - 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vinay20045 commented 6 years ago

Ok, I took a look into this and the script works just fine with Python3. No errors.

You probably need to modify your JSON a bit to get it to work the way you want... Here's what I did and my output...

  1. Modified your JSON to retain only the hits array...

    screen shot 2018-05-28 at 8 07 54 am
  2. Ran it with the script (in Python3, my version is 3.6.3)

    screen shot 2018-05-28 at 8 05 25 am
  3. And the output looks like...

    screen shot 2018-05-28 at 8 23 19 am

Let me know how it works out for you...

ravikuc commented 6 years ago

@vinay20045, Thank you so much. It helps me a lot.

ravikuc commented 6 years ago

@vinay20045, Can't we get the CVS data in same order?

Like this: capture2

What we are getting is like: capture1

Columns are not in same order.

vinay20045 commented 6 years ago

The sort is done explicitly to guarantee some order (in this case alphabetical). Read this post to fully understand the working.

You can try tinkering with the code to get your expected results. A good place to start is by commenting line 90.

PS: Please open a new issue with appropriate title in case you face any errors or want to discuss something. This will help preserve context for future readers :)