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bda-6-steffo/unimore_bda_6/database/collections.py
Stefano Pigozzi 3abba24ca2
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How does text vectorization in tensorflow work?
2023-02-05 17:40:22 +01:00

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Python

import contextlib
import pymongo.collection
import typing as t
import bson
import logging
log = logging.getLogger(__name__)
class MongoReview(t.TypedDict):
"""
A review as it is stored on MongoDB.
.. warning:: Do not instantiate: this is only for type hints!
"""
_id: bson.ObjectId
reviewerID: str
asin: str
reviewerName: str
helpful: tuple[int, int]
reviewText: str
overall: float
summary: str
unixReviewTime: int
reviewTime: str
def reviews_collection(db: pymongo.MongoClient) -> pymongo.collection.Collection[MongoReview]:
"""
Create a new MongoDB client, access the ``reviews`` collection in the ``reviews`` database, and yield it.
"""
log.debug("Accessing the reviews collection...")
collection = db.reviews.reviews
log.debug("Collection accessed successfully: %s", collection)
return collection
__all__ = (
"MongoReview",
"reviews_collection",
)