mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
61 lines
2.7 KiB
Python
61 lines
2.7 KiB
Python
import string
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from typing import Callable, Dict, Optional
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def get_pseudoanonymizer_mapping(seed: Optional[int] = None) -> Dict[str, Callable]:
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try:
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from faker import Faker
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except ImportError as e:
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raise ImportError(
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"Could not import faker, please install it with `pip install Faker`."
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) from e
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fake = Faker()
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fake.seed_instance(seed)
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# Listed entities supported by Microsoft Presidio (for now, global and US only)
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# Source: https://microsoft.github.io/presidio/supported_entities/
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return {
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# Global entities
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"PERSON": lambda _: fake.name(),
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"EMAIL_ADDRESS": lambda _: fake.email(),
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"PHONE_NUMBER": lambda _: fake.phone_number(),
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"IBAN_CODE": lambda _: fake.iban(),
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"CREDIT_CARD": lambda _: fake.credit_card_number(),
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"CRYPTO": lambda _: "bc1"
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+ "".join(
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fake.random_choices(string.ascii_lowercase + string.digits, length=26)
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),
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"IP_ADDRESS": lambda _: fake.ipv4_public(),
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"LOCATION": lambda _: fake.city(),
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"DATE_TIME": lambda _: fake.date(),
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"NRP": lambda _: str(fake.random_number(digits=8, fix_len=True)),
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"MEDICAL_LICENSE": lambda _: fake.bothify(text="??######").upper(),
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"URL": lambda _: fake.url(),
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# US-specific entities
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"US_BANK_NUMBER": lambda _: fake.bban(),
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"US_DRIVER_LICENSE": lambda _: str(fake.random_number(digits=9, fix_len=True)),
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"US_ITIN": lambda _: fake.bothify(text="9##-7#-####"),
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"US_PASSPORT": lambda _: fake.bothify(text="#####??").upper(),
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"US_SSN": lambda _: fake.ssn(),
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# UK-specific entities
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"UK_NHS": lambda _: str(fake.random_number(digits=10, fix_len=True)),
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# Spain-specific entities
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"ES_NIF": lambda _: fake.bothify(text="########?").upper(),
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# Italy-specific entities
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"IT_FISCAL_CODE": lambda _: fake.bothify(text="??????##?##?###?").upper(),
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"IT_DRIVER_LICENSE": lambda _: fake.bothify(text="?A#######?").upper(),
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"IT_VAT_CODE": lambda _: fake.bothify(text="IT???????????"),
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"IT_PASSPORT": lambda _: str(fake.random_number(digits=9, fix_len=True)),
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"IT_IDENTITY_CARD": lambda _: lambda _: str(
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fake.random_number(digits=7, fix_len=True)
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),
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# Singapore-specific entities
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"SG_NRIC_FIN": lambda _: fake.bothify(text="????####?").upper(),
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# Australia-specific entities
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"AU_ABN": lambda _: str(fake.random_number(digits=11, fix_len=True)),
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"AU_ACN": lambda _: str(fake.random_number(digits=9, fix_len=True)),
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"AU_TFN": lambda _: str(fake.random_number(digits=9, fix_len=True)),
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"AU_MEDICARE": lambda _: str(fake.random_number(digits=10, fix_len=True)),
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}
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