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https://github.com/Steffo99/unimore-bda-6.git
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143 lines
3.1 KiB
Python
143 lines
3.1 KiB
Python
import cfig
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config = cfig.Configuration()
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@config.optional()
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def MONGO_HOST(val: str | None) -> str:
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"""
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The hostname of the MongoDB database to connect to.
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Defaults to `"127.0.0.1"`.
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"""
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return val or "127.0.0.1"
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@config.optional()
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def MONGO_PORT(val: str | None) -> int:
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"""
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The port of the MongoDB database to connect to.
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Defaults to `27017`.
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"""
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if val is None:
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return 27017
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def WORKING_SET_SIZE(val: str | None) -> int:
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"""
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The number of reviews to consider from the database.
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Set this to a low number to prevent slowness due to the dataset's huge size.
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Defaults to `1000000`.
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"""
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if val is None:
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return 1000000
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def TRAINING_SET_SIZE(val: str | None) -> int:
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"""
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The number of reviews from each category to fetch for the training dataset.
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Defaults to `4000`.
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"""
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if val is None:
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return 4000
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def VALIDATION_SET_SIZE(val: str | None) -> int:
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"""
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The number of reviews from each category to fetch for the training dataset.
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Defaults to `400`.
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"""
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if val is None:
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return 400
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def EVALUATION_SET_SIZE(val: str | None) -> int:
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"""
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The number of reviews from each category to fetch for the evaluation dataset.
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Defaults to `1000`.
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"""
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if val is None:
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return 1000
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def TENSORFLOW_MAX_FEATURES(val: str | None) -> int:
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"""
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The maximum number of features to use in Tensorflow models.
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Defaults to `300000`.
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"""
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if val is None:
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return 300000
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def TENSORFLOW_EMBEDDING_SIZE(val: str | None) -> int:
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"""
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The size of the embeddings tensor to use in Tensorflow models.
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Defaults to `12`.
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"""
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if val is None:
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return 12
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def TENSORFLOW_EPOCHS(val: str | None) -> int:
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"""
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The number of epochs to train Tensorflow models for.
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Defaults to `3`.
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"""
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if val is None:
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return 3
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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__all__ = (
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"config",
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"MONGO_HOST",
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"MONGO_PORT",
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"WORKING_SET_SIZE",
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"TRAINING_SET_SIZE",
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"VALIDATION_SET_SIZE",
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"EVALUATION_SET_SIZE",
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"TENSORFLOW_MAX_FEATURES",
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"TENSORFLOW_EMBEDDING_SIZE",
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"TENSORFLOW_EPOCHS",
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)
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if __name__ == "__main__":
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config.cli()
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