-
Notifications
You must be signed in to change notification settings - Fork 0
/
views.py
80 lines (67 loc) · 2.46 KB
/
views.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
import json
import sqlite3
import matplotlib.pyplot as plt
import mplcursors
import datetime
import tkinter as tk
from tkinter import ttk
import customtkinter
from tkinter import messagebox
def view_data():
# Connect to the SQLite database
conn = sqlite3.connect('PowerAnalyzer.db')
cursor = conn.cursor()
# Execute the SELECT statement
cursor.execute("SELECT * FROM Power_Analyzer")
# Fetch all rows
rows = cursor.fetchall()
# Close the connection
conn.close()
# Function to display values in a popup
def show_values(event):
item = tree.selection()[0]
values = tree.item(item, 'values')
conn = sqlite3.connect('PowerAnalyzer.db')
cursor = conn.cursor()
cursor.execute(f"""
SELECT * FROM Power_Analyzer WHERE id ={values[2]};""")
# Fetch all rows
rows = cursor.fetchall()
# Close the connection
conn.close()
list = rows[0][2]
start_time = datetime.datetime.fromisoformat(rows[0][7])
ploting(list, "L1", rows[0][1], "red", start_time)
#messagebox.showinfo("Row Values", rows[0][2])
# Create a Tkinter window
root = customtkinter.CTk()
root.title("View Data")
# Create a Treeview widget
tree = ttk.Treeview(root)
tree["columns"] = ("Place", "Hours", "ID")
tree.heading("#0", text="ID")
tree.heading("Place", text="Place")
tree.heading("Hours", text="Hours")
tree.heading("ID", text="ID")
# Insert data into the Treeview
for row in rows:
tree.insert("", "end", text=row[0], values=(row[1], row[6], row[0]))
tree.pack(expand=True, fill="both")
# Bind double-click event to show values in popup
tree.bind("<Double-1>", show_values)
root.mainloop()
plt.close()
def ploting( plot_list:list, plot_label:str, plot_text:str, plot_color:str, strat_time ):
fig = plt.figure(num=f"Power Analyzer")
fig.suptitle(plot_text, fontsize=16)
ax = fig.add_subplot()
li = json.loads(plot_list)
ax.plot(li, label=plot_label, color=plot_color)
ax.set_ylim([0, 350])
ax.set_ylabel("Voltage")
ax.set_xlabel("Time")
ax.legend([plot_label])
mplcursors.cursor(multiple=True).connect("add", lambda sel: sel.annotation.set_text(f"{sel.artist.get_label()} : {sel.target[1]:.2f} \n{ (strat_time + (datetime.timedelta(seconds=sel.target[0]))).strftime('%I:%M:%S')}"))
plt.show()
# Call the function to view data
view_data()