Update app.py
Browse files
app.py
CHANGED
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@@ -3,7 +3,9 @@ from flask import request, jsonify
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import os
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import sqlite3
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from datetime import datetime
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from dotenv import load_dotenv
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import globs
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@@ -175,8 +177,55 @@ def get_all_data():
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return jsonify({'status': 'error', 'message': str(e)}), 500
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import os
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import sqlite3
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from datetime import datetime
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import matplotlib.pyplot as plt
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import io
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import base64
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from dotenv import load_dotenv
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import globs
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return jsonify({'status': 'error', 'message': str(e)}), 500
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# Маршрут для вывода ph
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@app.route('/plot_ph', methods=['GET'])
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def plot_ph():
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try:
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conn = sqlite3.connect('system_data.db')
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cursor = conn.cursor()
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# Выполняем запрос для получения данных по параметру ph
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cursor.execute('SELECT date_time, ph FROM system_data ORDER BY date_time')
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rows = cursor.fetchall()
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conn.close()
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# Проверяем, есть ли данные
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if not rows:
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return jsonify({'status': 'error', 'message': 'Нет данных для построения графика'}), 400
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# Разделяем данные на оси X (время) и Y (значения ph)
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dates = [row[0] for row in rows]
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ph_values = [float(row[1]) for row in rows]
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# Создаем график
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plt.figure(figsize=(10, 6))
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plt.plot(dates, ph_values, marker='o', linestyle='-', color='b')
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plt.title('График значений pH')
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plt.xlabel('Дата и время')
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plt.ylabel('Значение pH')
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plt.xticks(rotation=45)
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plt.grid(True)
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# Сохраняем график в буфер
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buffer = io.BytesIO()
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plt.savefig(buffer, format='png')
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buffer.seek(0)
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# Кодируем график в base64
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plot_data = base64.b64encode(buffer.getvalue()).decode('utf-8')
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# Возвращаем график в формате HTML
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return f'''
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<html>
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<body>
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<h1>График значений pH</h1>
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<img src="data:image/png;base64,{plot_data}" alt="График pH">
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</body>
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</html>
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'''
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except Exception as e:
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return jsonify({'status': 'error', 'message': str(e)}), 500
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