Снедков Илья, АТ-18

Flask_task.py

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+from flask import Flask
+from flask import render_template
+from flask import Response
+import sqlite3
+import random
+import io
+
+from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+from matplotlib.figure import Figure
+
+app = Flask(__name__)
+
+def count_people_diploma_not_match_job(jobTitles, qualification):
+    result = 0
+    total = 0
+    for (jt, q) in zip(jobTitles, qualification):
+        total += 1
+        if not does_diploma_match(jt[0], q[0]) and not does_diploma_match(q[0], jt[0]):
+            result += 1
+    return result, total
+
+
+def does_diploma_match(str1, str2):
+    str_array = str1.lower().replace('-', ' ').split()
+    for word in str_array:
+        if word in str2.lower():
+            return True
+    return False
+
+@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: {cv['salary']}.</p>"
+        res += f"<p>Образование: {cv['educationType']}.</p>"
+
+    return res
+
+
+@app.route("/dashboard")
+def dashboard():
+    con = sqlite3.connect('works.sqlite')
+    res = con.execute('SELECT SUBSTR(dateModify, 1, 4), COUNT(*) FROM works WHERE dateModify NOT NULL GROUP BY '
+                      'SUBSTR(dateModify, 1, 4)').fetchall()
+    con.close()
+    return render_template('d2.html', cvs=get_cv(), labels=[row[0] for row in res], data=[row[1] for row in res])
+
+@app.route("/statistic")
+def statistic():
+    jobTitles = get_list('jobTitle')
+    qualifications = get_list('qualification')
+    res = ""
+    count = count_people_diploma_not_match_job(jobTitles, qualifications)
+    res += f"<p>Из {count[1]} людей не совпадают профессия и должность у {count[0]}</p>"
+    return res
+
+
+def get_list(field):
+    con = sqlite3.connect('works.sqlite')
+    res = list(con.execute(f'select {field} from works'))
+    con.close()
+    return res
+
+
+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():
+    fig = Figure()
+    axis = fig.add_subplot(1, 1, 1)
+    xs = range(100)
+    ys = [random.randint(1, 50) for x in xs]
+    axis.plot(xs, ys)
+    return fig
+
+
+app.run()