diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..13566b8 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/FinTech_app.iml b/.idea/FinTech_app.iml new file mode 100644 index 0000000..d791031 --- /dev/null +++ b/.idea/FinTech_app.iml @@ -0,0 +1,36 @@ + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/dataSources.xml b/.idea/dataSources.xml new file mode 100644 index 0000000..ec8f5fa --- /dev/null +++ b/.idea/dataSources.xml @@ -0,0 +1,21 @@ + + + + + sqlite.xerial + true + org.sqlite.JDBC + jdbc:sqlite:J:\Desktop\FinTech_app\db.sqlite3 + $ProjectFileDir$ + + + sqlite.xerial + true + true + $PROJECT_DIR$/FinTech_app/settings.py + org.sqlite.JDBC + jdbc:sqlite:J:\Desktop\FinTech_app\db.sqlite3 + $ProjectFileDir$ + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/jsLibraryMappings.xml b/.idea/jsLibraryMappings.xml new file mode 100644 index 0000000..3e69f72 --- /dev/null +++ b/.idea/jsLibraryMappings.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..2687556 --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..b1cc4a7 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..94a25f7 --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/FinTech_app/Akcje.pdf b/FinTech_app/Akcje.pdf new file mode 100644 index 0000000..0ab01c0 Binary files /dev/null and b/FinTech_app/Akcje.pdf differ diff --git a/FinTech_app/Czym jest portfel inwestycyjny.pdf b/FinTech_app/Czym jest portfel inwestycyjny.pdf new file mode 100644 index 0000000..f112bfe Binary files /dev/null and b/FinTech_app/Czym jest portfel inwestycyjny.pdf differ diff --git a/FinTech_app/RYNKI.pdf b/FinTech_app/RYNKI.pdf new file mode 100644 index 0000000..1306806 Binary files /dev/null and b/FinTech_app/RYNKI.pdf differ diff --git a/FinTech_app/settings.py b/FinTech_app/settings.py index 9ce0e62..f859567 100644 --- a/FinTech_app/settings.py +++ b/FinTech_app/settings.py @@ -9,7 +9,7 @@ https://docs.djangoproject.com/en/4.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/4.1/ref/settings/ """ - +import os from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. @@ -38,7 +38,9 @@ INSTALLED_APPS = [ 'django.contrib.messages', 'django.contrib.staticfiles', 'bootstrap4', - 'crispy_forms' + 'crispy_forms', + 'charts', + 'matplotlib' ] @@ -130,3 +132,7 @@ DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField' LOGIN_REDIRECT_URL = "/" LOGOUT_REDIRECT_URL = "/" + +STATICFILES_DIRS = [ + os.path.join(BASE_DIR, 'static') +] diff --git a/FinTech_app/urls.py b/FinTech_app/urls.py index 3ef3bb7..f1a5585 100644 --- a/FinTech_app/urls.py +++ b/FinTech_app/urls.py @@ -16,8 +16,10 @@ Including another URLconf from django.contrib import admin from django.urls import path, include from django.views.generic.base import TemplateView + from . import views + urlpatterns = [ path('admin/', admin.site.urls), path('', TemplateView.as_view(template_name='main.html'), name='home'), @@ -25,4 +27,11 @@ urlpatterns = [ path("login/", views.login_request, name="login"), path("logout/", views.logout_request, name="logout"), path("main/", views.logout_request, name="main"), + path('chart/', include('charts.urls')), + path('view-pdf1/', views.pdf_view1, name='pdf_view1'), + path('view-pdf-rynki/', views.pdf_view_rynki, name='pdf_view_rynki'), + path('view-pdf-akcje/', views.pdf_view_akcje, name='pdf_view_akcje'), + path('plot/', views.plot, name='plot'), + path('wigplot/', views.plot_view, name='plot_view'), + path('oblplot/', views.ob_plot_view, name='ob_plot_view'), ] diff --git a/FinTech_app/views.py b/FinTech_app/views.py index 3cff995..232853b 100644 --- a/FinTech_app/views.py +++ b/FinTech_app/views.py @@ -1,9 +1,21 @@ -from django.shortcuts import render, redirect +from django.http import HttpResponse +from django.shortcuts import render, redirect from .forms import NewUserForm from django.contrib.auth import login, authenticate, logout from django.contrib import messages from django.contrib.auth.forms import AuthenticationForm - +import matplotlib.pyplot as plt +import numpy as np +from matplotlib.backends.backend_agg import FigureCanvasAgg +import pandas as pd +from sklearn.linear_model import LinearRegression +from io import BytesIO +import base64 +from datetime import datetime +from sklearn.preprocessing import PolynomialFeatures +from sklearn.linear_model import LinearRegression +from sklearn.metrics import mean_squared_error, r2_score +from sklearn.model_selection import train_test_split def register_request(request): if request.method == "POST": @@ -43,8 +55,108 @@ def logout_request(request): return redirect("/") -def index(request): - if request.user.is_authenticated: - print("Logged in") - else: - print("Not logged in") \ No newline at end of file +def pdf_view1(request): + with open('FinTech_app/Czym jest portfel inwestycyjny.pdf', 'rb') as pdf: + response = HttpResponse(pdf.read(), content_type='application/pdf') + response['Content-Disposition'] = 'inline;filename=mypdf.pdf' + return response + + +def pdf_view_rynki(request): + with open('FinTech_app/RYNKI.pdf', 'rb') as pdf: + response = HttpResponse(pdf.read(), content_type='application/pdf') + response['Content-Disposition'] = 'inline;filename=mypdf.pdf' + return response + + +def pdf_view_akcje(request): + with open('FinTech_app/Akcje.pdf', 'rb') as pdf: + response = HttpResponse(pdf.read(), content_type='application/pdf') + response['Content-Disposition'] = 'inline;filename=mypdf.pdf' + return response + + +def plot(request): + # Data for plotting + t = np.arange(0.0, 2.0, 0.01) + s = 1 + np.sin(2 * np.pi * t) + + fig, ax = plt.subplots() + ax.plot(t, s) + + ax.set(xlabel='czas', ylabel='kurs', + title='Przewidywany kurs dla ...') + ax.grid() + + response = HttpResponse(content_type = 'image/png') + canvas = FigureCanvasAgg(fig) + canvas.print_png(response) + return response + + +def my_view(request): + fig, ax = plt.subplots() + ax.plot([1, 2, 3, 4]) + return render(request, 'my_template.html', {'fig': fig}) + + +def plot_view(request): + data = pd.read_csv("charts/static/akcjeWIG40.csv") + months = data['Data'] + prices = data['Otwarcie'] + months = np.array(months).reshape(-1, 1) + poly_feat = PolynomialFeatures(degree=2) + months_poly = poly_feat.fit_transform(months) + model = LinearRegression() + model.fit(months_poly, prices) + future_months = np.array([12, 13, 14, 15, 16, 17, 18]).reshape(-1, 1) + future_months_poly = poly_feat.fit_transform(future_months) + predictions = model.predict(future_months_poly) + plt.plot(months, prices, color='cyan') + plt.plot(future_months, predictions, color='pink') + plt.title('Wykres cen dla następnych 6 miesięcy dla akcji 40 najwięszych spółek WIG40') + plt.xlabel('Miesiące') + plt.ylabel('Cena') + plt.xticks(range(1, 19)) + plt.grid() + + #save the figure to a buffer + buf = BytesIO() + plt.savefig(buf, format='png') + buf.seek(0) + string = base64.b64encode(buf.read()).decode() + uri = 'data:image/png;base64,' + string + context = { 'uri': uri } + plt.clf() + return render(request, 'wigplot.html', context) + + +def ob_plot_view(request): + data = pd.read_csv("charts/static/obligacjePL.csv") + months = data['Data'] + prices = data['Otwarcie'] + months = np.array(months).reshape(-1, 1) + poly_feat = PolynomialFeatures(degree=2) + months_poly = poly_feat.fit_transform(months) + model = LinearRegression() + model.fit(months_poly, prices) + future_months = np.array([12, 13, 14, 15, 16, 17, 18]).reshape(-1, 1) + future_months_poly = poly_feat.fit_transform(future_months) + predictions = model.predict(future_months_poly) + plt.plot(months, prices, color='cyan') + plt.plot(future_months, predictions, color='pink') + plt.title('Wykres cen dla następnych 6 miesięcy dla obligacji PL') + plt.xlabel('Miesiące') + plt.ylabel('Cena') + plt.xticks(range(1, 19)) + plt.grid() + + #save the figure to a buffer + buf = BytesIO() + plt.savefig(buf, format='png') + buf.seek(0) + string = base64.b64encode(buf.read()).decode() + uri = 'data:image/png;base64,' + string + context = { 'uri': uri } + plt.clf() + return render(request, 'obligacjePLplot.html', context) \ No newline at end of file diff --git a/charts/__init__.py b/charts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/charts/admin.py b/charts/admin.py new file mode 100644 index 0000000..8c38f3f --- /dev/null +++ b/charts/admin.py @@ -0,0 +1,3 @@ +from django.contrib import admin + +# Register your models here. diff --git a/charts/algorithm.py b/charts/algorithm.py new file mode 100644 index 0000000..919302b --- /dev/null +++ b/charts/algorithm.py @@ -0,0 +1,48 @@ +import csv +import numpy as np +from sklearn.svm import SVR +import matplotlib.pyplot as plt + +dates = [] +prices = [] + + +def get_data(filename): + with open(filename, 'r') as csvfile: + csvFileReader = csv.reader(csvfile) + next(csvFileReader) + for row in csvFileReader: + dates.append(int(row[0].split('-')[1])) + prices.append(float(row[1])) + return + + +def predict_prices(dates, prices, x): + dates = np.reshape(dates, (len(dates), 1)) + + svr_lin = SVR(kernel='linear', C=1e3) + svr_poly = SVR(kernel='poly', C=1e3, degree = 2) + svr_rbf = SVR(kernel='rbf', C=1e3, gamma=0.1) + svr_lin.fit(dates, prices) + svr_poly.fit(dates, prices) + svr_rbf.fit(dates, prices) + + plt.scatter(dates, prices, color='black', label='Data') + plt.plot(dates, svr_lin.predict(dates), color='green', label='linear model') + plt.plot(dates, svr_poly.predict(dates), color='blue', label='Polynomial model') + plt.plot(dates, svr_rbf.predict(dates), color='red', label='RBF model') + plt.xlabel('Date') + plt.ylabel('Price') + plt.title('Support Vector Regression') + plt.legend() + plt.show() + + return svr_lin.predict(x)[0], svr_poly.predict(x)[0], svr_rbf.predict(x)[0] + + +get_data('static/akcjeWIG40.csv') +print(dates) +print(prices) +predicted_price = predict_prices(dates, prices, 29) + +print(predicted_price) diff --git a/charts/algorithm_2.py b/charts/algorithm_2.py new file mode 100644 index 0000000..c9c9ade --- /dev/null +++ b/charts/algorithm_2.py @@ -0,0 +1,56 @@ +import numpy as np +from sklearn.svm import SVR +import matplotlib.pyplot as plt + + +X = np.sort(5 * np.random.rand(40, 1), axis=0) +y = np.sin(X).ravel() + +# add noise to targets +y[::5] += 3 * (0.5 - np.random.rand(8)) +svr_rbf = SVR(kernel="rbf", C=100, gamma=0.1, epsilon=0.1) +svr_lin = SVR(kernel="linear", C=100, gamma="auto") +svr_poly = SVR(kernel="poly", C=100, gamma="auto", degree=3, epsilon=0.1, coef0=1) +lw = 2 + +svrs = [svr_rbf, svr_lin, svr_poly] +kernel_label = ["RBF", "Linear", "Polynomial"] +model_color = ["m", "c", "g"] + +fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15, 10), sharey=True) +for ix, svr in enumerate(svrs): + axes[ix].plot( + X, + svr.fit(X, y).predict(X), + color=model_color[ix], + lw=lw, + label="{} model".format(kernel_label[ix]), + ) + axes[ix].scatter( + X[svr.support_], + y[svr.support_], + facecolor="none", + edgecolor=model_color[ix], + s=50, + label="{} support vectors".format(kernel_label[ix]), + ) + axes[ix].scatter( + X[np.setdiff1d(np.arange(len(X)), svr.support_)], + y[np.setdiff1d(np.arange(len(X)), svr.support_)], + facecolor="none", + edgecolor="k", + s=50, + label="other training data", + ) + axes[ix].legend( + loc="upper center", + bbox_to_anchor=(0.5, 1.1), + ncol=1, + fancybox=True, + shadow=True, + ) + +fig.text(0.5, 0.04, "data", ha="center", va="center") +fig.text(0.06, 0.5, "target", ha="center", va="center", rotation="vertical") +fig.suptitle("Support Vector Regression", fontsize=14) +plt.show() \ No newline at end of file diff --git a/charts/algorithm_3.py b/charts/algorithm_3.py new file mode 100644 index 0000000..e74e93c --- /dev/null +++ b/charts/algorithm_3.py @@ -0,0 +1,57 @@ +import pandas as pd +import numpy as np +import matplotlib.pyplot as plt +from matplotlib.pylab import rcParams +from keras.models import Sequential +from keras.layers import LSTM, Dropout, Dense +from sklearn.preprocessing import MinMaxScaler + +df = pd.read_csv('static/HistoricalData_APL.csv') +df = df[['Date', 'Close/Last']] +df = df.replace({'\$': ''}, regex=True) +print(df.head()) +df = df.astype({"Close/Last": float}) +df["Date"] = pd.to_datetime(df.Date, format="%m/%d/%Y") +print(df.dtypes) +df.index = df['Date'] +plt.plot(df["Close/Last"], label='AAPL Close Price history') +plt.show() +df = df.sort_index(ascending=True,axis=0) +data = pd.DataFrame(index=range(0,len(df)),columns=['Date','Close/Last']) +for i in range(0,len(data)): + data["Date"][i]=df['Date'][i] + data["Close/Last"][i]=df["Close/Last"][i] +scaler=MinMaxScaler(feature_range=(0,1)) +data.index=data.Date +data.drop("Date",axis=1,inplace=True) +final_data = data.values +train_data=final_data[0:200,:] +valid_data=final_data[200:,:] +scaler=MinMaxScaler(feature_range=(0,1)) +scaled_data=scaler.fit_transform(final_data) +x_train_data,y_train_data=[],[] +for i in range(60,len(train_data)): + x_train_data.append(scaled_data[i-60:i,0]) + y_train_data.append(scaled_data[i,0]) +lstm_model=Sequential() +lstm_model.add(LSTM(units=50,return_sequences=True,input_shape=(np.shape(x_train_data)[1],1))) +lstm_model.add(LSTM(units=50)) +lstm_model.add(Dense(1)) +model_data=data[len(data)-len(valid_data)-60:].values +model_data=model_data.reshape(-1,1) +model_data=scaler.transform(model_data) +lstm_model.compile(loss='mean_squared_error',optimizer='adam') +lstm_model.fit(x_train_data,y_train_data,epochs=1,batch_size=1,verbose=2) +X_test=[] +for i in range(60,model_data.shape[0]): + X_test.append(model_data[i-60:i,0]) +X_test=np.array(X_test) +X_test=np.reshape(X_test,(X_test.shape[0],X_test.shape[1],1)) +predicted_stock_price=lstm_model.predict(X_test) +predicted_stock_price=scaler.inverse_transform(predicted_stock_price) +train_data=data[:200] +valid_data=data[200:] +valid_data['Predictions']=predicted_stock_price +plt.plot(train_data["Close/Last"]) +plt.plot(valid_data[['Close/Last',"Predictions"]]) +plt.show() \ No newline at end of file diff --git a/charts/algorithm_4.py b/charts/algorithm_4.py new file mode 100644 index 0000000..e4e59ce --- /dev/null +++ b/charts/algorithm_4.py @@ -0,0 +1,63 @@ +import pandas as pd +import numpy as np +import matplotlib.pyplot as plt +from sklearn.preprocessing import PolynomialFeatures +from sklearn.linear_model import LinearRegression +from sklearn.metrics import mean_squared_error, r2_score +from sklearn.model_selection import train_test_split + +# data = pd.read_csv("static/obligacjePL.csv") +# +# months = data['Data'] +# prices = data['Otwarcie'] +# +# months = np.array(months).reshape(-1, 1) +# +# model = LinearRegression() +# model.fit(months, prices) +# +# future_months = np.array([12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]).reshape(-1, 1) +# predictions = model.predict(future_months) +# plt.plot(months, prices, label='actual') +# plt.plot(future_months, predictions, label='prediction') +# plt.legend() +# plt.xlabel('Months') +# plt.ylabel('Prices') +# plt.title('Stock Prices Prediction') +# plt.grid() +# plt.show() + +data = pd.read_csv("static/AAPL2.csv") +months = data['Date'] +prices = data['Open'] +months = np.array(months).reshape(-1, 1) +poly_feat = PolynomialFeatures(degree=2) +months_poly = poly_feat.fit_transform(months) +model = LinearRegression() +model.fit(months_poly, prices) +future_months = np.array([12, 13, 14, 15, 16, 17, 18]).reshape(-1, 1) +future_months_poly = poly_feat.fit_transform(future_months) +predictions = model.predict(future_months_poly) +plt.plot(months, prices, color='cyan') +plt.plot(future_months, predictions, color='pink') +plt.title('Polynomial Regression') +plt.xlabel('Months') +plt.ylabel('Prices') +plt.xticks(range(1, 18)) +plt.show() +X_train, X_test, y_train, y_test = train_test_split(months_poly, prices, test_size=0.2, random_state=0) + +# Fit the model to the training data +model = LinearRegression() +model.fit(X_train, y_train) + +# Make predictions on the test data +y_pred = model.predict(X_test) + +# Calculate the MSE and R-Squared +mse = mean_squared_error(y_test, y_pred) +r2 = r2_score(y_test, y_pred) + +# Print the results +print("Mean Squared Error:", mse) +print("R-Squared:", r2) \ No newline at end of file diff --git a/charts/apps.py b/charts/apps.py new file mode 100644 index 0000000..4c223e4 --- /dev/null +++ b/charts/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class ChartsConfig(AppConfig): + default_auto_field = 'django.db.models.BigAutoField' + name = 'charts' diff --git a/charts/management/__init__.py b/charts/management/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/charts/management/commands/__init__.py b/charts/management/commands/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/charts/management/commands/import_stats.py b/charts/management/commands/import_stats.py new file mode 100644 index 0000000..99a72b2 --- /dev/null +++ b/charts/management/commands/import_stats.py @@ -0,0 +1,38 @@ +import csv + +from django.core.management.base import BaseCommand +from dateutil.parser import parse + +from charts.models import BiteStat + + +class Command(BaseCommand): + help = 'Import bite exercise stats' + + def add_arguments(self, parser): + parser.add_argument('-c', '--csv', required=True) + + def handle(self, *args, **options): + file = options["csv"] + with open(file) as f: + reader = csv.DictReader(f) + for row in reader: + completed = row["first_completed"] + if not completed: + continue + + level = row["user_level"] + if not level: + level = 0 + + date = parse(completed) + stat, created = BiteStat.objects.get_or_create( + exercise=row["bite_id"], + completed=date, + level=level, + ) + + if created: + self.stdout.write(f"{stat} created") + else: + self.stderr.write(f"{stat} already in db") \ No newline at end of file diff --git a/charts/migrations/0001_initial.py b/charts/migrations/0001_initial.py new file mode 100644 index 0000000..eb61597 --- /dev/null +++ b/charts/migrations/0001_initial.py @@ -0,0 +1,23 @@ +# Generated by Django 4.1.3 on 2022-12-19 20:06 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + ] + + operations = [ + migrations.CreateModel( + name='BiteStat', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('exercise', models.PositiveSmallIntegerField()), + ('completed', models.DateField()), + ('level', models.PositiveSmallIntegerField(blank=True, null=True)), + ], + ), + ] diff --git a/charts/migrations/__init__.py b/charts/migrations/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/charts/models.py b/charts/models.py new file mode 100644 index 0000000..660ed54 --- /dev/null +++ b/charts/models.py @@ -0,0 +1,7 @@ +from django.db import models + + +class BiteStat(models.Model): + exercise = models.PositiveSmallIntegerField() # 0 to 32767 + completed = models.DateField() # I don't care about time here + level = models.PositiveSmallIntegerField(null=True, blank=True) # optional, not every Bite has user feedback diff --git a/charts/static/AAPL.csv b/charts/static/AAPL.csv new file mode 100644 index 0000000..088233f --- /dev/null +++ b/charts/static/AAPL.csv @@ -0,0 +1,252 @@ +Date,Open,High,Low,Close,Adj Close,Volume +2022-01-03,177.830002,182.880005,177.710007,182.009995,180.959747,104487900 +2022-01-04,182.630005,182.940002,179.119995,179.699997,178.663071,99310400 +2022-01-05,179.610001,180.169998,174.639999,174.919998,173.910660,94537600 +2022-01-06,172.699997,175.300003,171.639999,172.000000,171.007507,96904000 +2022-01-07,172.889999,174.139999,171.029999,172.169998,171.176529,86709100 +2022-01-10,169.080002,172.500000,168.169998,172.190002,171.196426,106765600 +2022-01-11,172.320007,175.179993,170.820007,175.080002,174.069733,76138300 +2022-01-12,176.119995,177.179993,174.820007,175.529999,174.517151,74805200 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+2013-12-31;1670.6;1696.09;1180.16;1204.12 +2014-12-31;1205.1;1388.34;1131.78;1183 +2015-12-31;1187.09;1306.43;1046.64;1061.46 +2016-12-31;1064.65;1375.42;1062.61;1150.91 +2017-12-31;1150.53;1357.56;1146.18;1303.33 +2018-12-31;1303.38;1366.12;1160.31;1282.56 +2019-12-31;1282.6;1557.1;1266.48;1517.305 +2020-12-31;1518.17;2075.11;1451.28;1898.705 +2021-12-31;1903.49;1959.11;1671.9;1829.5 +2022-12-31;1830.05;2069.94;1614.905;1823.48 +2023-12-31;1823.65;1826.7;1823.48;1824.14 diff --git a/charts/tests.py b/charts/tests.py new file mode 100644 index 0000000..7ce503c --- /dev/null +++ b/charts/tests.py @@ -0,0 +1,3 @@ +from django.test import TestCase + +# Create your tests here. diff --git a/charts/urls.py b/charts/urls.py new file mode 100644 index 0000000..65e0edf --- /dev/null +++ b/charts/urls.py @@ -0,0 +1,6 @@ +from django.urls import path +from charts import views + +urlpatterns = [ + path('', views.index, name='graph'), +] diff --git a/charts/views.py b/charts/views.py new file mode 100644 index 0000000..e48188c --- /dev/null +++ b/charts/views.py @@ -0,0 +1,28 @@ +from django.shortcuts import render + +from collections import Counter +from math import ceil + +from django.shortcuts import render + +from charts.models import BiteStat + + +def index(request): + stats = BiteStat.objects.order_by('completed') + + data = Counter() + for row in stats: + yymm = row.completed.strftime("%Y-%m") + data[yymm] += 1 + + # unpack dict keys / values into two lists + labels, values = zip(*data.items()) + + context = { + "labels": labels, + "values": values, + } + return render(request, "graph.html", context) + + diff --git a/education/__init__.py b/education/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/education/admin.py b/education/admin.py new file mode 100644 index 0000000..8c38f3f --- /dev/null +++ b/education/admin.py @@ -0,0 +1,3 @@ +from django.contrib import admin + +# Register your models here. diff --git a/education/apps.py b/education/apps.py new file mode 100644 index 0000000..4a92e70 --- /dev/null +++ b/education/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class EducationConfig(AppConfig): + default_auto_field = 'django.db.models.BigAutoField' + name = 'education' diff --git a/education/migrations/__init__.py b/education/migrations/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/education/models.py b/education/models.py new file mode 100644 index 0000000..71a8362 --- /dev/null +++ b/education/models.py @@ -0,0 +1,3 @@ +from django.db import models + +# Create your models here. diff --git a/education/tests.py b/education/tests.py new file mode 100644 index 0000000..7ce503c --- /dev/null +++ b/education/tests.py @@ -0,0 +1,3 @@ +from django.test import TestCase + +# Create your tests here. diff --git a/education/urls.py b/education/urls.py new file mode 100644 index 0000000..e69de29 diff --git a/education/views.py b/education/views.py new file mode 100644 index 0000000..fb50b76 --- /dev/null +++ b/education/views.py @@ -0,0 +1,6 @@ +from django.shortcuts import render + + +def education_view(request): + context = {} + return render(request, 'education/education.html', context) diff --git a/pdf_view/__init__.py b/pdf_view/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/pdf_view/admin.py b/pdf_view/admin.py new file mode 100644 index 0000000..8c38f3f --- /dev/null +++ b/pdf_view/admin.py @@ -0,0 +1,3 @@ +from django.contrib import admin + +# Register your models here. diff --git a/pdf_view/apps.py b/pdf_view/apps.py new file mode 100644 index 0000000..e5af211 --- /dev/null +++ b/pdf_view/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class PdfViewConfig(AppConfig): + default_auto_field = 'django.db.models.BigAutoField' + name = 'pdf_view' diff --git a/pdf_view/migrations/__init__.py b/pdf_view/migrations/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/pdf_view/models.py b/pdf_view/models.py new file mode 100644 index 0000000..71a8362 --- /dev/null +++ b/pdf_view/models.py @@ -0,0 +1,3 @@ +from django.db import models + +# Create your models here. diff --git a/pdf_view/tests.py b/pdf_view/tests.py new file mode 100644 index 0000000..7ce503c --- /dev/null +++ b/pdf_view/tests.py @@ -0,0 +1,3 @@ +from django.test import TestCase + +# Create your tests here. diff --git a/pdf_view/urls.py b/pdf_view/urls.py new file mode 100644 index 0000000..e69de29 diff --git a/pdf_view/views.py b/pdf_view/views.py new file mode 100644 index 0000000..679ef18 --- /dev/null +++ b/pdf_view/views.py @@ -0,0 +1,9 @@ +from django.shortcuts import render +from django.http import HttpResponse + + +# def pdf_view(request): +# with open('Czym jest portfel inwestycyjny.pdf', 'rb') as pdf: +# response = HttpResponse(pdf.read(), content_type='application/pdf') +# response['Content-Disposition'] = 'inline;filename=mypdf.pdf' +# return response diff --git a/static/Zeszyt1.csv b/static/Zeszyt1.csv new file mode 100644 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margin-right: auto; + width: 50%; } \ No newline at end of file diff --git a/templates/graph.html b/templates/graph.html new file mode 100644 index 0000000..916b5f2 --- /dev/null +++ b/templates/graph.html @@ -0,0 +1,11 @@ +{% load static %} + + + +Bite exercise stats + + + + + + \ No newline at end of file diff --git a/templates/main.html b/templates/main.html index 62e74ca..a529360 100644 --- a/templates/main.html +++ b/templates/main.html @@ -26,19 +26,22 @@
  • {% if user.is_authenticated %} Wyloguj + Użyj bezpiecznego wariantu + Użyj bardziej ryzykownego wariantu + Zainwestuj z Xtb + Zainwestuj z Etoro {% else %} Zaloguj {% endif %}
  • - Action - Another action -
    - Something else here + Informacje o stronie + Obligacje + Akcje
  • @@ -48,8 +51,8 @@
    • - - + +
    @@ -57,9 +60,10 @@ {% block content %}

    Witaj na stronie FinTech!

    -

    Tutaj możesz nauczyć się jak inwestować i prognozować kursy z pomocą sztucznej inteligencji.

    +

    Tutaj możesz nauczyć się jak inwestować i prognozować kursy z pomocą sztucznej inteligencji.

    +
    {% endblock %} diff --git a/templates/my_template.html b/templates/my_template.html new file mode 100644 index 0000000..263bb89 --- /dev/null +++ b/templates/my_template.html @@ -0,0 +1,10 @@ +{% load matplotlib %} + + + My Plot + + +

    My Plot

    + {% matplotlib_inline fig %} + + \ No newline at end of file diff --git a/templates/obligacjePLplot.html b/templates/obligacjePLplot.html new file mode 100644 index 0000000..acd959d --- /dev/null +++ b/templates/obligacjePLplot.html @@ -0,0 +1,13 @@ + + + + + Title + + +Stock Prices Prediction +

    Oto wykres obligacji polskich przedstawiający zmianę ich wartości w rozbiciu miesięcznym w roku 2022 z + prognozą na kolejne 6 miesięcy. Jak widać wahania nie są duże, więc ryzyko związane z inwestycją + jest relatywnie niskie. Trzeba pamiętać jednak, że zysk nie będzie również wysoki.

    + + \ No newline at end of file diff --git a/templates/plot.html b/templates/plot.html new file mode 100644 index 0000000..f7a5a76 --- /dev/null +++ b/templates/plot.html @@ -0,0 +1,11 @@ +{% extends "main.html" %} + + + + + Title + + + + + \ No newline at end of file diff --git a/templates/registration/login.html b/templates/registration/login.html index 168c41f..486c554 100644 --- a/templates/registration/login.html +++ b/templates/registration/login.html @@ -29,7 +29,7 @@
    {% csrf_token %} {{ login_form|crispy }} - +

    Nie masz konta? Zarejestruj się.

    diff --git a/templates/registration/register.html b/templates/registration/register.html index f0b169e..4c1fa3a 100644 --- a/templates/registration/register.html +++ b/templates/registration/register.html @@ -7,13 +7,13 @@
    -

    Register

    +

    Zarejestruj się

    {% csrf_token %} {{ register_form|crispy }} - +
    -

    If you already have an account, login instead.

    +

    Jeżeli masz już konto, zaloguj się.

    {% endblock %} \ No newline at end of file diff --git a/templates/wigplot.html b/templates/wigplot.html new file mode 100644 index 0000000..0be0c69 --- /dev/null +++ b/templates/wigplot.html @@ -0,0 +1,12 @@ + + + + + Title + + +Stock Prices Prediction +

    Oto wykres wartości 40 największych polskich spółek na przestrzeni roku 2022 w podziale na miesiące + z prognozą na kolejne pół roku. Jak widać wahania są całkiem duże, więc można dużo zyskać ale również dużo stracić

    + + \ No newline at end of file diff --git a/tests/test_1.py b/tests/test_1.py new file mode 100644 index 0000000..29d69d9 --- /dev/null +++ b/tests/test_1.py @@ -0,0 +1,21 @@ +from django.contrib.auth.models import User +from django.http import request, HttpResponseRedirect +from django.test import TestCase +from django.urls import reverse + + +class LogInTest(TestCase): + def setUp(self): + self.credentials = { + 'username': 'test123', + 'password': 'Fintech123'} + User.objects.create_user(**self.credentials) + + def test_login(self): + response = self.client.post('/accounts/login', self.credentials, follow=True) + self.assertFalse(response.context['user'].is_authenticated) + +class ButtonTest(TestCase): + def button_test(self): + if request.POST.get('Submit') == 'Submit': + print('user clicked submit') \ No newline at end of file