131 lines
4.1 KiB
Python
131 lines
4.1 KiB
Python
from sqlite3 import connect
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from rest_framework.decorators import api_view
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from rest_framework.response import Response
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from .models import Books
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import pandas as pd
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import ras.settings
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from sqlalchemy import create_engine
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from .serializers import BooksSerializer
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from django.db.models import Q
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from django.templatetags.static import static
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import json
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def getBooksData():
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engine = create_engine('mysql+mysqldb://' + ras.settings.DATABASES['default']['USER'] + ':' + ras.settings.DATABASES['default']['PASSWORD'] + '@' + ras.settings.DATABASES['default']['HOST'] + ':3306/' + ras.settings.DATABASES['default']['NAME'])
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df = pd.read_sql('SELECT * FROM api_books', engine, parse_dates={'readed': {'format': '%m-%Y'}})
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return df
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def filterData(df, datayear = None):
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df['readed'] = pd.to_datetime(df['readed'], format='%Y-%m-%d')
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df['readed'] = df['readed'].dt.strftime('%m-%Y')
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# Filter data on year
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if datayear and datayear is not None:
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df = df.where(df['readed'].str.contains(datayear))
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return df
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@api_view(['GET'])
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def books_per_genre_per_month(request):
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if request.META.get('HTTP_YEAR'):
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data = []
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df = filterData(getBooksData(), request.META.get('HTTP_YEAR'))
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# Filter array on genre and date
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booksPerMonth = df.groupby(['genre','readed'])['genre'].count().reset_index(name="count")
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booksPerMonth = booksPerMonth.sort_values(by=['readed', 'count'], ascending=False)
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for index, row in booksPerMonth.iterrows():
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data.append({
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"genre": row['genre'],
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"readed": row['readed'],
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"count": row['count']
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})
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return Response(data)
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else:
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return Response("No year header included")
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@api_view(['GET'])
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def countGenres(request):
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if request.META.get('HTTP_YEAR'):
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data = []
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df = filterData(getBooksData(), request.META.get('HTTP_YEAR'))
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genres = df.groupby('genre')['genre'].count().reset_index(name="count")
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genres = genres.sort_values(by='count', ascending=False)
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for index, row in genres.iterrows():
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data.append({
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"genre": row['genre'],
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"count": int(row['count'])
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})
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return Response(data)
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else:
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return Response("No year header included")
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@api_view(['GET'])
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def books_per_country(request):
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if request.META.get('HTTP_YEAR'):
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data = []
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df = filterData(getBooksData(), request.META.get('HTTP_YEAR'))
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countries = df.groupby(['country_code', 'country'])['country'].count().reset_index(name="count")
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countries = countries.sort_values(by='count', ascending=False)
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for index, row in countries.iterrows():
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data.append({
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"code": row['country_code'],
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"country": row['country'],
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"count": int(row['count'])
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})
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return Response(data)
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else:
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return Response("No year header included")
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@api_view(['GET'])
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def getStats(request):
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if request.META.get('HTTP_YEAR'):
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data = []
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df = filterData(getBooksData(), request.META.get('HTTP_YEAR'))
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df = df.dropna()
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statsTotalBooks = df['name'].count()
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statsTotalPages = df['pages'].astype(int).sum()
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statsTotalWriters = df['author'].nunique()
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statsTotalCountries = df['country'].nunique()
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statsTotalGenres = df['genre'].nunique()
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data.append({
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'totalbooks': statsTotalBooks,
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'totalpages': statsTotalPages,
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'totalauthors': statsTotalWriters,
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'totalcountries': statsTotalCountries,
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'totalgenres': statsTotalGenres
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})
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return Response(data[0])
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else:
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return Response("No year header included")
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@api_view(['GET'])
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def getYears(request):
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df = filterData(getBooksData())
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df['readed'] = pd.to_datetime(df['readed'], errors='coerce')
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df['year']= df['readed'].dt.year
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years = df.groupby('year')['year'].count().reset_index(name="count")
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return Response(years['year']) |