|
| 1 | +from __future__ import annotations |
| 2 | + |
| 3 | +import json |
| 4 | +from typing import ClassVar |
| 5 | + |
| 6 | +from sqlalchemy import Float, Integer, String, UniqueConstraint |
| 7 | +from sqlalchemy.orm import Mapped, mapped_column |
| 8 | +from typing_extensions import override |
| 9 | + |
| 10 | +from pysatl_experiment.persistence.db_store.base import ModelBase, SessionType |
| 11 | +from pysatl_experiment.persistence.db_store.model import AbstractDbStore |
| 12 | +from pysatl_experiment.persistence.model.power.power import IPowerStorage, PowerModel, PowerQuery |
| 13 | + |
| 14 | + |
| 15 | +class AlchemyPower(ModelBase): |
| 16 | + __tablename__ = "power" |
| 17 | + |
| 18 | + id: Mapped[int] = mapped_column(Integer, primary_key=True) # type: ignore |
| 19 | + experiment_id: Mapped[int] = mapped_column(Integer, nullable=False) # type: ignore |
| 20 | + criterion_code: Mapped[str] = mapped_column(String, nullable=False, index=True) # type: ignore |
| 21 | + criterion_parameters: Mapped[str] = mapped_column(String, nullable=False, index=True) # type: ignore |
| 22 | + sample_size: Mapped[int] = mapped_column(Integer, nullable=False, index=True) # type: ignore |
| 23 | + alternative_code: Mapped[str] = mapped_column(String, nullable=False, index=True) # type: ignore |
| 24 | + alternative_parameters: Mapped[str] = mapped_column(String, nullable=False, index=True) # type: ignore |
| 25 | + monte_carlo_count: Mapped[int] = mapped_column(Integer, nullable=False, index=True) # type: ignore |
| 26 | + significance_level: Mapped[float] = mapped_column(Float, nullable=False, index=True) # type: ignore |
| 27 | + results_criteria: Mapped[str] = mapped_column(String, nullable=False) # type: ignore |
| 28 | + |
| 29 | + __table_args__ = ( |
| 30 | + UniqueConstraint( |
| 31 | + "criterion_code", |
| 32 | + "criterion_parameters", |
| 33 | + "sample_size", |
| 34 | + "alternative_code", |
| 35 | + "alternative_parameters", |
| 36 | + "monte_carlo_count", |
| 37 | + "significance_level", |
| 38 | + name="uq_power_unique", |
| 39 | + ), |
| 40 | + ) |
| 41 | + |
| 42 | + |
| 43 | +class AlchemyPowerStorage(AbstractDbStore, IPowerStorage): |
| 44 | + session: ClassVar[SessionType] |
| 45 | + |
| 46 | + def __init__(self, db_url: str): |
| 47 | + super().__init__(db_url=db_url) |
| 48 | + self._initialized: bool = False |
| 49 | + |
| 50 | + @override |
| 51 | + def init(self) -> None: |
| 52 | + super().init() |
| 53 | + self._initialized = True |
| 54 | + |
| 55 | + def _get_session(self) -> SessionType: |
| 56 | + if not getattr(self, "_initialized", False): |
| 57 | + raise RuntimeError("Storage not initialized. Call init() first.") |
| 58 | + return AlchemyPowerStorage.session |
| 59 | + |
| 60 | + @override |
| 61 | + def get_data(self, query: PowerQuery) -> PowerModel | None: |
| 62 | + params_json = json.dumps(query.criterion_parameters) |
| 63 | + alt_params_json = json.dumps(query.alternative_parameters) |
| 64 | + row: AlchemyPower | None = ( |
| 65 | + self._get_session() |
| 66 | + .query(AlchemyPower) |
| 67 | + .filter( |
| 68 | + AlchemyPower.criterion_code == query.criterion_code, |
| 69 | + AlchemyPower.criterion_parameters == params_json, |
| 70 | + AlchemyPower.sample_size == int(query.sample_size), |
| 71 | + AlchemyPower.alternative_code == query.alternative_code, |
| 72 | + AlchemyPower.alternative_parameters == alt_params_json, |
| 73 | + AlchemyPower.monte_carlo_count == int(query.monte_carlo_count), |
| 74 | + AlchemyPower.significance_level == float(query.significance_level), |
| 75 | + ) |
| 76 | + .one_or_none() |
| 77 | + ) |
| 78 | + if row is None: |
| 79 | + return None |
| 80 | + return PowerModel( |
| 81 | + experiment_id=int(row.experiment_id), |
| 82 | + criterion_code=query.criterion_code, |
| 83 | + criterion_parameters=query.criterion_parameters, |
| 84 | + sample_size=query.sample_size, |
| 85 | + alternative_code=query.alternative_code, |
| 86 | + alternative_parameters=query.alternative_parameters, |
| 87 | + monte_carlo_count=query.monte_carlo_count, |
| 88 | + significance_level=query.significance_level, |
| 89 | + results_criteria=json.loads(row.results_criteria), |
| 90 | + ) |
| 91 | + |
| 92 | + @override |
| 93 | + def insert_data(self, data: PowerModel) -> None: |
| 94 | + params_json = json.dumps(data.criterion_parameters) |
| 95 | + alt_params_json = json.dumps(data.alternative_parameters) |
| 96 | + existing: AlchemyPower | None = ( |
| 97 | + self._get_session() |
| 98 | + .query(AlchemyPower) |
| 99 | + .filter( |
| 100 | + AlchemyPower.criterion_code == data.criterion_code, |
| 101 | + AlchemyPower.criterion_parameters == params_json, |
| 102 | + AlchemyPower.sample_size == int(data.sample_size), |
| 103 | + AlchemyPower.alternative_code == data.alternative_code, |
| 104 | + AlchemyPower.alternative_parameters == alt_params_json, |
| 105 | + AlchemyPower.monte_carlo_count == int(data.monte_carlo_count), |
| 106 | + AlchemyPower.significance_level == float(data.significance_level), |
| 107 | + ) |
| 108 | + .one_or_none() |
| 109 | + ) |
| 110 | + if existing is None: |
| 111 | + entity = AlchemyPower( |
| 112 | + experiment_id=int(data.experiment_id), |
| 113 | + criterion_code=data.criterion_code, |
| 114 | + criterion_parameters=params_json, |
| 115 | + sample_size=int(data.sample_size), |
| 116 | + alternative_code=data.alternative_code, |
| 117 | + alternative_parameters=alt_params_json, |
| 118 | + monte_carlo_count=int(data.monte_carlo_count), |
| 119 | + significance_level=float(data.significance_level), |
| 120 | + results_criteria=json.dumps(data.results_criteria), |
| 121 | + ) |
| 122 | + self._get_session().add(entity) |
| 123 | + else: |
| 124 | + existing.experiment_id = int(data.experiment_id) |
| 125 | + existing.results_criteria = json.dumps(data.results_criteria) |
| 126 | + self._get_session().commit() |
| 127 | + |
| 128 | + @override |
| 129 | + def delete_data(self, query: PowerQuery) -> None: |
| 130 | + params_json = json.dumps(query.criterion_parameters) |
| 131 | + alt_params_json = json.dumps(query.alternative_parameters) |
| 132 | + ( |
| 133 | + self._get_session() |
| 134 | + .query(AlchemyPower) |
| 135 | + .filter( |
| 136 | + AlchemyPower.criterion_code == query.criterion_code, |
| 137 | + AlchemyPower.criterion_parameters == params_json, |
| 138 | + AlchemyPower.sample_size == int(query.sample_size), |
| 139 | + AlchemyPower.alternative_code == query.alternative_code, |
| 140 | + AlchemyPower.alternative_parameters == alt_params_json, |
| 141 | + AlchemyPower.monte_carlo_count == int(query.monte_carlo_count), |
| 142 | + AlchemyPower.significance_level == float(query.significance_level), |
| 143 | + ) |
| 144 | + .delete() |
| 145 | + ) |
| 146 | + self._get_session().commit() |
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