Арипов Сергей АТ-13

main.py

@@ -0,0 +1,78 @@
+import matplotlib.pyplot as plt
+from flask import Flask
+from flask import render_template
+from flask import Response
+import sqlite3
+import io
+
+from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+
+app = Flask(__name__)
+
+
+@app.route("/")
+def cv_index():
+    cvs = get_cv()
+    res = ""
+    for i, cv in enumerate(cvs):
+        res += f"<h1>{i + 1})</h1>"
+        res += f"<p>Желаемая зарплата: asdasdasdsada {cv['salary']}.</p>"
+        res += f"<p>Образование: {cv['educationType']}.</p>"
+
+    return res
+
+
+@app.route("/dashboard")
+def dashboard():
+    data = []
+    with sqlite3.connect('works.sqlite') as con:
+        data=list(con.execute('SELECT SUBSTR(dateModify, 1, 4), COUNT(*) FROM works WHERE dateModify NOT NULL GROUP BY SUBSTR(dateModify, 1, 4)'))
+    return render_template('d3.html',
+                           cvs=get_cv(),
+                           data=[row[1] for row in data],
+                           labels=[row[0] for row in data]
+                           )
+
+
+def dict_factory(cursor, row):
+    # обертка для преобразования
+    # полученной строки. (взята из документации)
+    d = {}
+    for idx, col in enumerate(cursor.description):
+        d[col[0]] = row[idx]
+    return d
+
+
+def get_cv():
+    con = sqlite3.connect('works.sqlite')
+    con.row_factory = dict_factory
+    res = list(con.execute('select * from works limit 20'))
+    con.close()
+    return res
+
+
+@app.route('/plot.png')
+def plot_png():
+    fig = create_figure()
+    output = io.BytesIO()
+    FigureCanvas(fig).print_png(output)
+    return Response(output.getvalue(), mimetype='image/png')
+
+
+def create_figure():
+    with sqlite3.connect('works.sqlite') as con:
+        (men_salary, men_count) = zip(*list(con.execute(
+                                                'select salary,count(salary) from works where gender = "Мужской" group by salary')))
+        (women_salary, women_count) = zip(*list(con.execute(
+                                                    'select salary,count(salary) from works where gender = "Женский"  group by salary')))
+
+        plt.plot(men_salary, men_count, color='r', label='Мужчины-высшее')
+        plt.plot(women_salary, women_count, color='b', label='Женщины-высшее', linestyle='dashed')
+        plt.xlabel('Зарплата')
+        plt.ylabel("Кол-во")
+        plt.title("Разброс зарплат")
+        plt.legend()
+    return plt.gcf()
+
+
+app.run()

templates/d3.html

@@ -200,25 +200,11 @@ <h2>Резюме</h2>
 			  var myChart = new Chart(ctx, {
 				type: 'line',
 				data: {
-				  labels: [
-					'Sunday',
-					'Monday',
-					'Tuesday',
-					'Wednesday',
-					'Thursday',
-					'Friday',
-					'Saturday'
-				  ],
+				  {% autoescape false %}
+				  labels: {{ labels }}
+				  {% endautoescape %},
 				  datasets: [{
-					data: [
-					  15339,
-					  21345,
-					  18483,
-					  24003,
-					  23489,
-					  24092,
-					  12034
-					],
+					data: {{ data }},
 					lineTension: 0,
 					backgroundColor: 'transparent',
 					borderColor: '#007bff',