Trying to revive Numeri
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main.py
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# based on https://gist.github.com/rduplain/1641344
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import random
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from io import BytesIO
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import base64
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import os
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from flask import Flask, make_response, request, render_template
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from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
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from matplotlib.figure import Figure
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import plots
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config = {
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"DEBUG": True # run app in debug mode
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}
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app = Flask(__name__)
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@app.route('/')
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def my_form():
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return render_template('index.html')
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def figure():
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plots.plot()
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@app.route('/', methods=['POST'])
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def my_form_post():
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text = request.form['text']
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processed_text = text.upper()
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return processed_text
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@app.route('/', methods=["GET"])
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def root():
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title = "Project Numeri"
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figure()
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plots = os.listdir(os.path.join(app.static_folder, "plots"))
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return render_template('index.html', title=title, plots=plots)
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# @app.route('/', methods=['POST'])
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# def my_form_post():
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# text = request.form['text']
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# processed_text = text.upper()
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# return processed_text
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# def grades():
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# grades_list = pd.read_csv("*.csv")
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# print(grades_list)
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# @app.route('/')
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# def plot_figure():
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# return plots.plot()
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if __name__ == '__main__':
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app.run(debug=True, port=5002)
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17
plots.py
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from io import BytesIO
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from flask import Flask, render_template
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# app = Flask("Project Numeri")
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from flask import Flask, make_response, request
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from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
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from matplotlib.figure import Figure
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import base64
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import uuid
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# app = Flask(__name__)
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GRADE_LIST = "Cijfers-HerrewijnenJonathan.csv"
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print(GRADE_LIST)
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def plot():
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# Generate the figure **without using pyplot**.
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fig = Figure()
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ax = fig.subplots()
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ax.plot([1, 2])
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# Save it to a temporary buffer.
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buf = BytesIO()
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fig.savefig(buf, format="png")
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# Embed the result in the html output.
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data = base64.b64encode(buf.getbuffer()).decode("ascii")
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return f"<img src='data:image/png;base64,{data}'/>"
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fig.savefig(f'static/plots/{uuid.uuid4()}.png', format="png")
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# import pandas as pd
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BIN
static/plots/1a099ce5-1416-4c48-84b8-33470c4e923d.png
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After Width: | Height: | Size: 16 KiB |
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static/plots/2927a53e-ae1f-41d8-915b-fac557637289.png
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static/plots/2b666d3c-41a9-4254-a0d7-f426b35a7e47.png
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static/plots/5ac5d6a2-1c2b-430e-9e73-393b584150e5.png
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static/plots/68330f3a-18f7-4335-a6a6-55df08910b6c.png
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static/plots/7810ed25-825b-4896-b34d-1c1e08523190.png
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static/plots/78d63720-9b69-45de-9017-fe8102b4170b.png
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static/plots/9cba9fdd-d0ae-4a75-8964-dfbad0d3f8e6.png
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static/plots/a6b7092f-3cd0-4636-b2d5-e60409b89074.png
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static/plots/be3fcb04-c835-48ef-949c-e2187ac21c1d.png
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static/plots/c9b40763-24f5-4839-a912-9c6dd64af257.png
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static/plots/cc5fcf0e-4b83-452f-93b5-c947ff313604.png
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static/plots/eb32f9ba-1974-449a-9cd8-da70e5a5d3c6.png
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static/plots/plot.png
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@ -12,7 +12,13 @@
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<body>
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<h1>{{ title }}</h1>
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<img src="/" alt="img_data" id="imgplot" />
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<section class="row">
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{% for image in plots %}
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<section class="col-md-4 col-sm-6" style="background-color: green;">
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<a href="{{ url_for('static', filename='plots/' + image) }}">{{ image }}</a>
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</section>
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{% endfor %}
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</section>
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</body>
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</html>
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