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generate_issues.py
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56
generate_issues.py
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import os
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import csv
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import re
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# {'harvest_project': ('owner', 'repo')}
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projects = {
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'harvest_project': (owner, repo),
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}
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def test_parse_notes_section():
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if (parse_notes_section('Resolved Issue #4, #5 and Issue 6') == ['Issue #4', '#5', 'Issue 6']):
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print("test parse_notes_section passed")
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else:
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print("Test parse_notes_section failed")
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def parse_notes_section(notes):
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print("NOTES: ", notes)
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regex_pattern = r"[Ii]ssue\s*(?:#)?\d+|#\d+"
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matches = re.findall(regex_pattern, notes)
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if matches:
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print("MATCHES: ", matches)
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return matches
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def parse_harvest_csv(file=None):
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if file is None:
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file = input('Enter harvest report: ')
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print(file)
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if os.path.exists(file):
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print('Beginning parsing for issues')
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with open(file, 'r') as f:
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csv_reader = csv.DictReader(f)
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rows = list(csv_reader)
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original_fieldnames = csv_reader.fieldnames
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issue_fields = ['First Issue', 'Second Issue', 'Third Issue']
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modified_fieldnames = original_fieldnames + issue_fields
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with open('modified_csv.csv', 'w', newline='') as csvfile:
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writer = csv.DictWriter(csvfile, fieldnames = modified_fieldnames)
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writer.writeheader()
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for row in rows:
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issues = parse_notes_section(row['Notes'])
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issues_dict = dict(zip(issue_fields, issues))
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writer.writerow(issues_dict)
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def test_program():
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parse_harvest_csv("louis_harvest_time_report_from2023-10-01to2023-10-07.csv")
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test_parse_notes_section()
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test_program()
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