65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
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import argparse
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import time
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import requests
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import json
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import sys
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from crowdin_api import CrowdinClient
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from crowdin_api.api_resources.reports.enums import (
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Format,
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)
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parser = argparse.ArgumentParser("update_localization_contributors")
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parser.add_argument("api_key", help="Access token", type=str)
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parser.add_argument("project_id", help="Project ID", type=str)
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args = parser.parse_args()
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MIN_WORDS_CONTRIBUTED = 64
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class MyCrowdinClient(CrowdinClient):
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TOKEN = args.api_key
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PROJECT_ID = args.project_id
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client = MyCrowdinClient()
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reports = client.reports
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print("Requested a top members report.")
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report_request_response = reports.generate_top_members_report(
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unit="words", format=Format.JSON)
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report_request_id = report_request_response["data"]["identifier"]
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for i in range(60):
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# Sleep for a small number of seconds
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# before querying the report status update.
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time.sleep(2)
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report_status_response = reports.check_report_generation_status(
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report_request_id)
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report_status = report_status_response["data"]["status"]
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print(f"Checking report generation status: {report_status}.")
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if report_status == "finished":
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break
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else:
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sys.exit()
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report_response = reports.download_report(report_request_id)
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report_url = report_response["data"]["url"]
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report = requests.get(report_url).json()
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report_data = report["data"]
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# Filter out contributors with very low
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# amount of contributed words.
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report_data = list(filter(
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lambda x: x["translated"] + x["approved"] >= MIN_WORDS_CONTRIBUTED, report_data))
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report_data_text = json.dumps(report_data, indent=2)
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with open('common/src/commonMain/composeResources/files/localization_contributors.json', 'w') as f:
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f.write(report_data_text)
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