43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
from typing import Dict, List, Union
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from ceo_common.model import Term
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def bytes_to_strings(data: Dict[str, List[bytes]]) -> Dict[str, List[str]]:
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"""Convert the attribute values from bytes to strings"""
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return {
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key: [b.decode() for b in val]
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for key, val in data.items()
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}
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def strings_to_bytes(data: Dict[str, List[str]]) -> Dict[str, List[bytes]]:
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"""Convert the attribute values from strings to bytes"""
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return {
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key: [b.encode() for b in val]
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for key, val in data.items()
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}
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def dn_to_uid(dn: str) -> str:
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"""Extract the UID from an LDAP DN.
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Examples:
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dn_to_uid('uid=ctdalek,ou=People,dc=csclub,dc=uwaterloo,dc=ca')
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-> 'ctdalek'
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"""
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return dn.split(',', 1)[0].split('=')[1]
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def should_be_club_rep(terms: Union[None, List[str]],
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non_member_terms: Union[None, List[str]]) -> bool:
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"""Returns True iff a user's most recent term was a non-member term."""
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if not non_member_terms:
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# no non-member terms => was only ever a member
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return False
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if not terms:
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# no member terms => was only ever a club rep
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return True
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# decide using the most recent term (member or non-member)
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return max(map(Term, non_member_terms)) > max(map(Term, terms))
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