Александр Соболев АТ-19

code.py

@@ -0,0 +1,111 @@
+from flask import Flask
+from flask import render_template
+from flask import Response
+import sqlite3
+import random
+import io
+import pandas as pd
+from collections import Counter
+from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+from matplotlib.figure import Figure
+
+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: {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_field('jobTitle')
+    qualifications = get_list_field('qualification')
+    res = ""
+    csv = get_cv()
+    count = count_people_field1_not_match_field2(jobTitles, qualifications)
+    res += f"<p>Из {count[1]} людей не совпадают профессия и должность у {count[0]}</p>"
+
+    return res
+
+
+def get_list_field(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
+
+
+def count_people_field1_not_match_field2(field1, field2):
+    res_count = 0
+    total = 0
+    for (f1, f2) in zip(field1, field2):
+        total += 1
+        if not find_match(f1[0], f2[0]) and not find_match(f2[0], f1[0]):
+            res_count += 1
+    return res_count, total
+
+
+def find_match(f1, f2):
+    arr1 = str(f1).lower().replace('-', ' ').split()
+    for word in arr1:
+        if word in str(f2).lower():
+            return True
+    return False
+
+
+app.run()