How to format query results as CSV?-CodePudding

My goal: Automate the operation of executing a query in Dune Analytics and output the results into a csv.

I have been successful in obtaining the query results using Python (this is my first project ever in Python). I am trying to format these results as a csv but am completely lost. It's basically just creating 2 massive rows with all the data not parsed out. The .txt and .csv results are attached (I obtained these by simply calling the query and entering "file name > results.txt" or "file name > results.csv".

csv results: https://docs.google.com/spreadsheets/d/16T42AmtCqhKpde-E48F6XRH689EtG2th3rRWe9FYWbk/edit?usp=sharing

txt results: {'data': {'get_result': {'job_id': None, 'result_id': '72a17fd2-e63c-4732-805a-ad6a7b980a99', '__typename': 'get_result_response'}}} {'data': {'query_results': [{'id': '72a17fd2-e63c-4732-805a-ad6a7b980a99', 'job_id': '05eb2527-2ca0-4dd1-b6da-96fb5aa2e67c', 'error': None, 'runtime': 157, 'generated_at': '2022-04-07T20:14:36.693419 00:00', 'columns': ['project_name', 'leaderboard_date', 'volume_30day', 'transactions_30day', 'floor_price', 'median_price', 'unique_holders', 'rank', 'custom_sort_order'], '__typename': 'query_results'}], 'get_result_by_result_id': [{'data': {'custom_sort_order': 'AA', 'floor_price': 0.375, 'leaderboard_date': '2022-04-07', 'median_price': 343.4, 'project_name': 'Terraforms by Mathcastles', 'rank': 1, 'transactions_30day': 2774, 'unique_holders': 2179, 'volume_30day': 744611.6252}, '__typename': 'get_result_template'}, {'data': {'custom_sort_order': 'AB', 'floor_price': 4.69471, 'leaderboard_date': '2022-04-07', 'median_price': 6.5, 'project_name': 'Meebits', 'rank': 2, 'transactions_30day': 4153, 'unique_holders': 6200, 'volume_30day': 163520.7377371168}, '__typename': 'get_result_template'}, etc. (repeats for 100s of rows)..

CodePudding user response：

It appears you have the data in a python dictionary. The google sheet says access denied so I can't see the whole data.

But essentially you want to convert the dictionary data to a csv file.

At the bare bones you can use code like this to get where you need to. For your example you'll need to drill down to where the rows actually are.

import csv
new_path = open("mytest.csv", "w")
file_dictionary = {"oliva":199,"james":145,"potter":187}

z = csv.writer(new_path)
for new_k, new_v in file_dictionary.items():
    z.writerow([new_k, new_v])

new_path.close()

This guide should help you out. https://pythonguides.com/python-dictionary-to-csv/

CodePudding user response：

if I understand your question right, you should construct a dataframe format with your results and then save the dataframe in .csv format. Pandas library is usefull and easy to use.