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bda-6-steffo/unimore_bda_6/config.py

89 lines
1.7 KiB
Python

import cfig
config = cfig.Configuration()
@config.optional()
def MONGO_HOST(val: str | None) -> str:
"""
The hostname of the MongoDB database to connect to.
Defaults to `"127.0.0.1"`.
"""
return val or "127.0.0.1"
@config.optional()
def MONGO_PORT(val: str | None) -> int:
"""
The port of the MongoDB database to connect to.
Defaults to `27017`.
"""
if val is None:
return 27017
try:
return int(val)
except ValueError:
raise cfig.InvalidValueError("Not an int.")
@config.optional()
def WORKING_SET_SIZE(val: str | None) -> int:
"""
The number of reviews to consider from the database.
Set this to a low number to prevent slowness due to the dataset's huge size.
Defaults to `10000`.
"""
if val is None:
return 10000
try:
return int(val)
except ValueError:
raise cfig.InvalidValueError("Not an int.")
@config.optional()
def TRAINING_SET_SIZE(val: str | None) -> int:
"""
The number of reviews from each category to fetch for the training set.
Defaults to `1000`.
"""
if val is None:
return 1000
try:
return int(val)
except ValueError:
raise cfig.InvalidValueError("Not an int.")
@config.optional()
def TEST_SET_SIZE(val: str | None) -> int:
"""
The number of reviews to fetch for the test set.
Defaults to `1000`.
"""
if val is None:
return 1000
try:
return int(val)
except ValueError:
raise cfig.InvalidValueError("Not an int.")
__all__ = (
"config",
"MONGO_HOST",
"MONGO_PORT",
"WORKING_SET_SIZE",
"TRAINING_SET_SIZE",
"TEST_SET_SIZE",
"NLTK_DOUBLE_NEG_SWITCH",
)
if __name__ == "__main__":
config.cli()