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https://github.com/Steffo99/unimore-bda-6.git
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108 lines
2.9 KiB
Python
108 lines
2.9 KiB
Python
import typing as t
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import pymongo
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import pymongo.collection
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import contextlib
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import bson
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from .config import MONGO_HOST, MONGO_PORT
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class Review(t.TypedDict):
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_id: bson.ObjectId
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reviewerID: str
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asin: str
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reviewerName: str
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helpful: tuple[int, int]
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reviewText: str
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overall: float
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summary: str
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unixReviewTime: int
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reviewTime: str
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@contextlib.contextmanager
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def mongo_client_from_config() -> t.ContextManager[pymongo.MongoClient]:
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"""
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Create a new MongoDB client and yield it.
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"""
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client = pymongo.MongoClient(
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host=MONGO_HOST.__resolved__,
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port=MONGO_PORT.__resolved__,
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)
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yield client
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client.close()
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@contextlib.contextmanager
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def mongo_reviews_collection_from_config() -> pymongo.collection.Collection[Review]:
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"""
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Create a new MongoDB client, access the ``reviews`` collection in the ``reviews`` database, and yield it.
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"""
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with mongo_client_from_config() as db:
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yield db.reviews.reviews
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def sample_reviews(reviews: pymongo.collection.Collection, amount: int) -> t.Iterable[Review]:
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"""
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Get ``amount`` random reviews from the ``reviews`` collection.
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"""
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return reviews.aggregate([
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{"$sample": {"size": amount}}
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])
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def sample_reviews_by_rating(reviews: pymongo.collection.Collection, rating: float, amount: int) -> t.Iterable[Review]:
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"""
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Get ``amount`` random reviews with ``rating`` stars from the ``reviews`` collection.
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"""
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return reviews.aggregate([
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{"$match": {"overall": rating}},
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{"$sample": {"size": amount}},
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])
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def sample_reviews_by_rating_polar(reviews: pymongo.collection.Collection, amount: int) -> t.Iterable[Review]:
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"""
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Get ``amount`` random reviews with either a 5-star or 1-star rating from the ``reviews`` collection.
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"""
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return reviews.aggregate([
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{"$match":
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{"$or":
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[
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{"overall": 1.0},
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{"overall": 5.0},
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]
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},
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},
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{"$sample": {"size": amount}},
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])
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def get_reviews_training_set(reviews: pymongo.collection.Collection, amount: int) -> t.Iterable[Review]:
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"""
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Get the subset of reviews that should act as training set.
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"""
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# Handle odd numbers
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positive_amount: int = amount // 2
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negative_amount: int = amount - positive_amount
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# Sample the required reviews
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positive = sample_reviews_by_rating(reviews, 5.0, positive_amount)
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negative = sample_reviews_by_rating(reviews, 1.0, negative_amount)
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# Randomness here does not matter, so just merge the lists
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both = [*positive, *negative]
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return both
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def get_reviews_test_set(reviews: pymongo.collection.Collection, amount: int) -> t.Iterable[Review]:
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"""
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Get the subset of reviews that should act as test set.
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"""
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return sample_reviews_by_rating_polar(reviews, amount)
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