69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
from spamprotection import SPBClient
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from spamprotection.types import Blacklist
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import asyncio
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# initializing the client
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client = SPBClient()
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async def main():
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# calling for status
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user = input("Enter a Username or UserID: ")
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status = await client.check_blacklist(user)
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# check if status got a successful response
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if status.success:
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print((await text_parser(status)))
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else:
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print("Polish Cow did not Approve this!")
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async def text_parser(status: Blacklist):
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text = "Private TelegramID: {}\n".format(
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status.private_telegram_id
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)
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text += "Entity Type: {}\n".format(status.entity_type)
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if status.attributes.is_blacklisted:
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text += "Blacklist Flag: {}\n".format(
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status.attributes.blacklist_flag
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)
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text += "Blacklist Reason: {}\n".format(
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status.attributes.blacklist_reason
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)
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text += "Original PrivateID: {}\n".format(
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status.attributes.original_private_id
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)
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if status.attributes.is_potential_spammer:
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text += "This user is a Spammer\n"
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if status.attributes.is_operator:
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text += "This user is an Operator\n"
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if status.attributes.is_agent:
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text += "This user is an Agent\n"
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if status.attributes.is_whitelisted:
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text += "This user is Whitelisted\n"
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if status.attributes.intellivoid_accounts_verified:
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text += "This user is an Intellivoid Verified Account\n"
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if status.attributes.is_official:
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text += "This is an Official Account\n"
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text += "Language: {}\n".format(
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status.language_prediction.language
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)
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text += "Language Probability: {}\n".format(
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status.language_prediction.probability
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)
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text += "Ham Prediction: {}\n".format(
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status.spam_prediction.ham_prediction
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)
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text += "Spam Prediction: {}\n".format(
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status.spam_prediction.spam_prediction
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)
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text += "Last Updated On: {}\n".format(
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status.last_updated
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)
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return text
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if __name__ == "__main__":
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loop = asyncio.get_event_loop()
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loop.run_until_complete(main())
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loop.close()
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