37 lines
1.7 KiB
Python
37 lines
1.7 KiB
Python
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import json
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import os
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import csv
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import pandas as pd
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def calc_file_denom(project_name):
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with open('/data/users/mgaughan/kkex/contrib_uni_rosters_013124/' + 'contrib_roster_' + project_name + '.json') as file:
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data = json.load(file)
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print(len(data['api_contributors']) + len(data['issue_pr_contributors']) + len(data['file_contributors']) + len(data['wiki_contributors']))
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running_roster = data['api_contributors']
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for individual in data['issue_pr_contributors']:
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if individual not in running_roster:
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running_roster.append(individual)
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for individual in data['file_contributors']:
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if individual not in running_roster:
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running_roster.append(individual)
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for individual in data['wiki_contributors']:
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if individual not in running_roster:
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running_roster.append(individual)
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return len(running_roster)
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def for_all_projects():
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with open('final_data/deb_octo_data.csv', newline='') as csvfile:
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reader = csv.DictReader(csvfile)
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with open('new_denom_032624.csv', 'w', newline='') as writefile:
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keys = ["project_name","underproduction_mean","underproduction_low","underproduction_high","debian_vcs_link","upstream_vcs_link","age_of_project","contributors","collaborators","milestone_count", "api_contrib_count", "issue_contrib_count", "file_contrib_count", "wiki_contrib_count", "contrib_denom"]
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writer = csv.DictWriter(writefile, fieldnames=keys)
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for row in reader:
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row['contrib_denom'] = calc_file_denom(row['project_name'])
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#print(row)
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writer.writerow(row)
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if __name__ == "__main__":
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for_all_projects()
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#print(calc_file_denom("zzz-to-char"))
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