def reviews_analysis(url):
"""
This module will obtain the dataframe containing the reviews:
1. Calculate the sentiments using the reviews
2. Calculate the count of positive and negative reviews
3. Calculate the average rating
Returns
total_ratings, avg_rating, negative_reviews
"""
import numpy as np
product_name, dataframe = get_reviews(url)
# Just get the title as reviews
reviews = dataframe["title"]
dataframe["rating"] = dataframe["rating"].astype('float')
ratings = dataframe["rating"]
avg_rating = np.mean(ratings)
sentiments = get_sentiment(reviews)
# sentiments = pd.Series([1 if sentiment == "POS" else 0 for sentiment in sentiments])
print(sentiments)
print(ratings)
dataframe["rating"] = dataframe["rating"].astype('int')
# negative_reviews = dataframe[dataframe["rating"] < 3]
negative_reviews = dataframe[sentiments == "NEG"]
# print(negative_reviews)
return product_name, ratings, avg_rating, negative_reviews, sentiments
def movie_page(id):
if request.method == "GET":
if not movies.get_movie_info(id):
return render_template(
"issue.html", message="Valitettavasti elokuvaa ei löytynyt.")
info = movies.get_movie_info(id)
review_list = reviews.get_reviews(id)
amount_of_reviews = reviews.get_amount(id)
average = reviews.get_average(id)
return render_template("movie_page.html",
information=info,
reviews=review_list,
amount_of_reviews=amount_of_reviews,
average=average,
id=id)
if request.method == "POST":
users.check_csrf()
movie_id = request.form["movie_id"]
grade = int(request.form["grade"])
review = request.form["review"]
if grade == 0 or grade == 1 or grade == 2 or grade == 3 or grade == 4 or grade == 5 or grade == 6 or grade == 7 or grade == 8 or grade == 9 or grade == 10:
if not reviews.create_review(movie_id, grade, review):
return render_template(
"review_issue.html",
message="Arvostelun lisäys ei onnistunut",
id=id)
else:
return redirect("/movie_page/" + str(movie_id))
return render_template(
"review_issue.html",
message="Arvostelussa pitää olla ainakin arvosana.",
id=id)
def reviewsit(id):
book = books.get_book(id)
name = book[0]
reviewsit = reviews.get_reviews(id)
count = reviews.get_count(id)
if count == None:
count = 0
else:
count = count[0]
return render_template("reviews.html",
reviews=reviewsit,
id=id,
count=count,
name=name)
def get(self):
housing_id = self.request.get("id")
housing_query = housing.housing_option_list()
current_housing = HousingOption(
name = "placeholder",
)
for option in housing_query:
if housing.get_id(option) == int(housing_id):
current_housing = option
housing_reviews = reviews.get_reviews(housing_id)
template_vars = {
"current_housing" : current_housing,
"housing_id" : housing_id,
"reviews" : housing_reviews
}
template = jinja_env.get_template("templates/housing.html")
self.response.write(template.render(template_vars))
import search
import training_module
import reviews
import sys
info = input("\nEnter info : ")
review_tab = search.get_first_from_search(info)
if (review_tab == ""):
print(
"\nError\nPossible errors : Incorrect input/Connectivity problem/Product irrelevant\n"
)
sys.exit(0)
review_list = reviews.get_reviews(review_tab)
training_module.sentiment_analysis(review_list)
def get_reviews(id):
list = reviews.get_reviews(id)
return render_template("reviews2.html", id=id, review=list)
def books_reviews(id):
list = reviews.get_reviews(id)
return render_template("reviews.html", review=list)
def run(self):
self.reviews = get_reviews(self.index)
for review in self.reviews:
emoji = get_emoji(review.text)
self._emojis_counter[emoji] += 1
