|
| 1 | +from abc import ABC |
| 2 | +from .libcachesim_python import ( |
| 3 | + Admissioner, |
| 4 | + Request, |
| 5 | + create_bloomfilter_admissioner, |
| 6 | + create_prob_admissioner, |
| 7 | + create_size_admissioner, |
| 8 | + create_size_probabilistic_admissioner, |
| 9 | + create_adaptsize_admissioner, |
| 10 | +) |
| 11 | + |
| 12 | + |
| 13 | +class AdmissionerBase(ABC): |
| 14 | + _admissioner: Admissioner # Internal C++ admissioner object |
| 15 | + |
| 16 | + def __init__(self, _admissioner: Admissioner): |
| 17 | + self._admissioner = _admissioner |
| 18 | + |
| 19 | + def clone(self): |
| 20 | + return self._admissioner.clone() |
| 21 | + |
| 22 | + def update(self, req: Request, cache_size: int): |
| 23 | + return self._admissioner.update(req, cache_size) |
| 24 | + |
| 25 | + def admit(self, req: Request): |
| 26 | + return self._admissioner.admit(req) |
| 27 | + |
| 28 | + def free(self): |
| 29 | + return self._admissioner.free() |
| 30 | + |
| 31 | + |
| 32 | +class BloomFilterAdmissioner(AdmissionerBase): |
| 33 | + def __init__(self): |
| 34 | + admissioner = create_bloomfilter_admissioner(None) |
| 35 | + super().__init__(admissioner) |
| 36 | + |
| 37 | + |
| 38 | +class ProbAdmissioner(AdmissionerBase): |
| 39 | + def __init__(self, prob: float = None): |
| 40 | + params = f"prob={prob}" if prob is not None else None |
| 41 | + admissioner = create_prob_admissioner(params) |
| 42 | + super().__init__(admissioner) |
| 43 | + |
| 44 | + |
| 45 | +class SizeAdmissioner(AdmissionerBase): |
| 46 | + def __init__(self, size_threshold: int = None): |
| 47 | + params = f"size={size_threshold}" if size_threshold is not None else None |
| 48 | + admissioner = create_size_admissioner(params) |
| 49 | + super().__init__(admissioner) |
| 50 | + |
| 51 | + |
| 52 | +class SizeProbabilisticAdmissioner(AdmissionerBase): |
| 53 | + def __init__(self, exponent: float = None): |
| 54 | + params = f"exponent={exponent}" if exponent is not None else None |
| 55 | + admissioner = create_size_probabilistic_admissioner(params) |
| 56 | + super().__init__(admissioner) |
| 57 | + |
| 58 | + |
| 59 | +class AdaptSizeAdmissioner(AdmissionerBase): |
| 60 | + def __init__(self, max_iteration: int = None, reconf_interval: int = None): |
| 61 | + params = ",".join( |
| 62 | + f'{arg}={val}' for arg, val in { |
| 63 | + 'max-iteration': max_iteration, |
| 64 | + 'reconf-interval': reconf_interval, |
| 65 | + }.items() if val is not None |
| 66 | + ) or None |
| 67 | + |
| 68 | + admissioner = create_adaptsize_admissioner(params) |
| 69 | + super().__init__(admissioner) |
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