5 min read
Dec 27, 2023
Previously
How to Build an Online Database APP by Python, PySide6 and Google Sheets (12): View Settings
Previously
ihenrywu.medium.com
This article is about how to create dashboard in the app:
Constructor and UI Initialization:
- The
Dashboard
class initializes with the Google Sheets client and sets up the user interface in theinitUI
method. - A
QVBoxLayout
is used for the overall layout, with twoQGridLayouts
for organizing different metrics.
class Dashboard(QWidget):
def __init__(self, google_sheets_client):
super().__init__()
self.google_sheets_client = google_sheets_client
self.initUI()
def initUI(self):
layout = QVBoxLayout(self)
# Use QGridLayout for the first row
row1_layout = QGridLayout()
# Add group boxes to the first row
row1_layout.addWidget(self.create_group_box("Total Assets Under Management", self.calculate_aum), 0, 0)
row1_layout.addWidget(self.create_group_box("Active Investors", self.fetch_active_investors), 0, 1)
layout.addLayout(row1_layout)
# Row 2: Detailed Metrics
row2_layout = QGridLayout()
row2_layout.addWidget(self.create_group_box("New Investments this Quarter", self.fetch_quarterly_new_investments), 0, 0)
row2_layout.addWidget(self.create_group_box("Withdrawals this Quarter", self.fetch_quarterly_withdrawals), 0, 1)
row2_layout.addWidget(self.create_group_box("Dividend Amount last Quarter", self.fetch_quarterly_dividend_amount), 0, 2)
row2_layout.addWidget(self.create_group_box("New Investors this Quarter", self.fetch_new_investors_this_quarter), 0, 3)
layout.addLayout(row2_layout)
self.setLayout(layout)
Group Box Creation:
create_group_box
: This method creates individual group boxes for each metric. It calls a data callback function to fetch the relevant data and displays it in aQLineEdit
widget, which is set to be read-only for display purposes.- The appearance of the widgets is customized using stylesheets and fonts, with different styles for different types of metrics.
def create_group_box(self, title, data_callback):
group_box = QGroupBox(title)
group_box.setAlignment(Qt.AlignmentFlag.AlignCenter)
layout = QVBoxLayout(group_box)
data = data_callback() # Get data using the callback function
for label, value in data:
widget = QLineEdit(str(value))
widget.setReadOnly(True)
widget.setAlignment(Qt.AlignmentFlag.AlignCenter)
widget.setStyleSheet("background: transparent; border: none;")
if label in ["AUM", "Active Investors"]:
widget.setFont(QFont("Arial", 50, QFont.Weight.Bold))
widget.setStyleSheet("color: green; background: transparent; border: none;")
elif label in ["New Investments this Quarter", "Withdrawals this Quarter", "Dividend Amount last Quarter", "New Investors this Quarter"]:
widget.setFont(QFont("Arial", 30, QFont.Weight.Bold))
widget.setStyleSheet("color: red; background: transparent; border: none;")
layout.addWidget(widget)
return group_box
Data Retrieval Methods:
These following methods fetch data from various sheets in Google Sheets (like “05_Balances”, “03_Transactions”, “04_Dividends”) and calculate the metrics to be displayed. They handle data extraction, aggregation, and formatting.
calculate_aum
def calculate_aum(self):
# Fetch data from the "05_Balances" sheet
worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("05_Balances")
all_data = worksheet.get_all_values()
headers = all_data[0]
current_quarter = self.get_current_quarter()
balance_start_index = headers.index("Balance at Start")
new_account_balance_index = headers.index("New Account Balance")
period_index = headers.index("Dividend Period")
total_aum = sum(float(row[balance_start_index] or row[new_account_balance_index] or 0)
for row in all_data[1:] if row[period_index] == current_quarter)
# Convert total_aum to an integer and format with thousands separator
#total_aum_int = int(total_aum)
total_aum_formatted = f"${int(total_aum):,}"
return [("AUM", total_aum_formatted)]
fetch_active_investors
def fetch_active_investors(self):
worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("05_Balances")
# Get all data from the worksheet
all_data = worksheet.get_all_values()
# Get the header row and column indices
header_row = all_data[0]
dividend_period_index = header_row.index("Dividend Period")
balance_at_start_index = header_row.index("Balance at Start")
investor_id_index = header_row.index("ID_Investor")
# Get the current quarter
current_quarter = self.get_current_quarter() # You need to implement this function
# Filter rows where "Dividend Period" is the current quarter and "Balance at Start" is not 0
active_investors_rows = [
row for row in all_data[1:]
if row[dividend_period_index] == current_quarter and row[balance_at_start_index] != "0"
]
# Count the number of unique investor IDs
unique_investor_ids = set(row[investor_id_index] for row in active_investors_rows)
num_active_investors = str(len(unique_investor_ids))
return [("Active Investors", num_active_investors)]
fetch_quarterly_new_investments
def fetch_quarterly_new_investments(self):
# Fetch data from the "03_Transactions" sheet
worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("03_Transactions")
all_data = worksheet.get_all_values()
headers = all_data[0]
current_quarter = self.get_current_quarter()
# Find the column indices for "Dividend Period", "Money In/Out", and "Amount"
dividend_period_index = headers.index("Dividend Period")
money_in_out_index = headers.index("Money In/Out")
amount_index = headers.index("Amount")
# Calculate the sum of "Amount" for "Money In" transactions in the current quarter
total_money_in = sum(
float(row[amount_index] or 0) for row in all_data[1:]
if row[dividend_period_index] == current_quarter and row[money_in_out_index] == "Money In"
)
# Format the total with thousands separator and return
total_money_in_formatted = f"${int(total_money_in):,}"
return [("New Investments this Quarter", total_money_in_formatted)]
fetch_quarterly_withdrawals
def fetch_quarterly_withdrawals(self):
# Fetch data from the "03_Transactions" sheet
worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("03_Transactions")
all_data = worksheet.get_all_values()
headers = all_data[0]
current_quarter = self.get_current_quarter()
# Find the column indices for "Dividend Period", "Money In/Out", and "Amount"
dividend_period_index = headers.index("Dividend Period")
money_in_out_index = headers.index("Money In/Out")
amount_index = headers.index("Amount")
# Calculate the sum of "Amount" for "Money In" transactions in the current quarter
total_money_out = sum(
float(row[amount_index] or 0) for row in all_data[1:]
if row[dividend_period_index] == current_quarter and row[money_in_out_index] == "Money Out"
)
# Format the total with thousands separator and return
total_money_out_formatted = f"-${int(total_money_out):,}"
return [("Withdrawals this Quarter", total_money_out_formatted)]
fetch_quarterly_dividend_amount
def fetch_quarterly_dividend_amount(self):
# Fetch data from the "04_Dividends" sheet
worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("04_Dividends")
all_data = worksheet.get_all_values()
headers = all_data[0]
current_quarter = self.get_current_quarter()
last_quarter = self.get_last_quarter(current_quarter) # You need to implement this function to get the last quarter
# Find the column indices for "Dividend Period" and "Dividend Amount"
dividend_period_index = headers.index("Dividend Period")
dividend_amount_index = headers.index("Dividend Amount")
# Calculate the sum of "Dividend Amount" for the last quarter
total_dividend_amount = sum(
float(row[dividend_amount_index] or 0) for row in all_data[1:]
if row[dividend_period_index] == last_quarter
)
# Format the total with thousands separator and return
total_dividend_amount_formatted = f"${int(total_dividend_amount):,}"
return [("Dividend Amount last Quarter", total_dividend_amount_formatted)]
fetch_new_investors_this_quarter
:
def fetch_new_investors_this_quarter(self):
worksheet = self.google_sheets_client.open_spreadsheet(GOOGLESHEET_ID).worksheet("05_Balances")
# Get all data from the worksheet
all_data = worksheet.get_all_values()
# Get the header row and column indices
header_row = all_data[0]
dividend_period_index = header_row.index("Dividend Period")
new_account_balance_index = header_row.index("New Account Balance")
# Get the current quarter
current_quarter = self.get_current_quarter() # Assuming this function is already implemented
# Filter rows where "Dividend Period" is the current quarter and "New Account Balance" is not empty
new_investors_rows = [
row for row in all_data[1:]
if row[dividend_period_index] == current_quarter and row[new_account_balance_index] != ""
]
# Count the number of new investors
num_new_investors = len(new_investors_rows)
return [("New Investors this Quarter", str(num_new_investors))]
get_current_quarter
andget_last_quarter
: These helper methods calculate the current and previous quarters, which are crucial for filtering data based on time periods.
def get_current_quarter(self):
# Logic to determine the current quarter
current_month = datetime.now().month
quarter = (current_month - 1) // 3 + 1
current_year = datetime.now().year
return f"{current_year}Q{quarter}"
def get_last_quarter(self, current_quarter):
# Logic to determine the last quarter
year = int(current_quarter[:4])
quarter = int(current_quarter[-1])
if quarter == 1:
year -= 1
quarter = 4
else:
quarter -= 1
return f"{year}Q{quarter}"