АТ-19 Инокова Эвита

result.txt

@@ -0,0 +1,15 @@
+Статистика
+Всего людей: 1068
+Из которых у (19888, 32683) профессия и должность не совпадают.
+Топ 5 квалификаций менеджеров:
+бакалавр
+менеджер
+специалист
+экономист
+экономист-менеджер
+Топ 5 должностей инженеров:
+заместитель директора
+главный инженер
+ведущий инженер-конструктор
+инженер лесопользования
+директор

task.py

@@ -0,0 +1,123 @@
+from flask import Flask
+from flask import render_template
+from flask import Response
+import sqlite3
+import random
+import io
+import pandas
+
+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')
+    result = 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 result],
+                           data=[row[1] for row in result]
+                           )
+
+
+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.route("/topJobs")
+def topJobs():
+    works = pandas.read_csv("works.csv").dropna()
+    works = works.apply(lambda x: x.astype(str).str.lower())
+    all_count = len(works)
+    con = sqlite3.connect('works.sqlite')
+
+    jobTitles = list(con.execute(f'SELECT jobTitle FROM works'))
+    qualifications = list(con.execute(f'SELECT qualification FROM works'))
+    con.close()
+
+    people_count = count(jobTitles, qualifications)
+    managers = works[works["jobTitle"].str.contains("менеджер")]
+    top_managers = managers['qualification'].value_counts().head(5).index.values.tolist()
+    engineers = works[works["qualification"].str.contains("инженер")]
+    top_engineers = engineers['jobTitle'].value_counts().head(5).index.values.tolist()
+    return render_template('topJobs.html',
+                           all_count=all_count,
+                           people_count=people_count,
+                           top_managers=top_managers,
+                           top_engineers=top_engineers)
+
+def top(top_size, field_to_search, field_to_return, str_to_search):
+    result = ''
+    result_array = []
+    for (f1, f2) in zip(field_to_search, field_to_return):
+        if str(f1[0]).lower().find(str_to_search[:-2]) != -1:
+            if str(f2[0]).find('None') == -1:
+                result_array.append(f1[0])
+    for i in range(top_size):
+        result += f"<p>- {result_array[i][0]} - {result_array[i][1]} чел.</p>"
+    return result
+
+def count(field1, field2):
+    result = 0
+    total = 0
+    for f1, f2 in zip(field1, field2):
+        total += 1
+        if not match(f1[0], f2[0]) and not match(f2[0], f1[0]):
+            result += 1
+    return result,total
+
+def match(f1, f2):
+    array = str(f1).lower().replace('-', ' ').split()
+    for word in array:
+        if word in str(f2).lower():
+            return True
+    return False
+
+app.run()

templates/d2.html

@@ -199,25 +199,11 @@ <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',
@@ -241,4 +227,4 @@ <h2>Резюме</h2>
 			})()
 	  </script>
   </body>
-</html>
+</html>

templates/topJobs.html

@@ -0,0 +1,24 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <title>Статистика</title>
+</head>
+<body>
+<h1>Статистика</h1>
+<h3>Всего людей: {{ all_count }}</h3>
+Из которых у <b>{{ people_count }}</b> профессия и должность не совпадают.
+<h3>Топ 5 квалификаций менеджеров:</h3>
+<ol>
+    {% for qualification in top_managers %}
+        <li>{{ qualification }}</li>
+    {% endfor %}
+</ol>
+<h3>Топ 5 должностей инженеров:</h3>
+<ol>
+    {% for job in top_engineers %}
+        <li>{{ job }}</li>
+    {% endfor %}
+</ol>
+</body>
+</html>