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import sqlite3
import pandas as pd
import os
import logging
from datetime import datetime, timedelta
from typing import List, Dict, Any, Optional
import random
# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class DatabaseManager:
def __init__(self, db_path="sales_management.db"):
self.db_path = db_path
self._is_logging = False # Prevent recursion
self.init_database()
def get_connection(self):
"""Get database connection with error handling"""
try:
conn = sqlite3.connect(self.db_path)
conn.row_factory = sqlite3.Row # This enables column access by name
return conn
except sqlite3.Error as e:
logger.error(f"Database connection error: {e}")
raise
def init_database(self):
"""Initialize database with all tables and relationships"""
conn = self.get_connection()
try:
# Customers table
conn.execute("""
CREATE TABLE IF NOT EXISTS customers (
customer_id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_code TEXT UNIQUE,
name TEXT NOT NULL,
mobile TEXT,
village TEXT,
taluka TEXT,
district TEXT,
status TEXT DEFAULT 'Active',
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Distributors table
conn.execute("""
CREATE TABLE IF NOT EXISTS distributors (
distributor_id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
village TEXT,
taluka TEXT,
district TEXT,
mantri_name TEXT,
mantri_mobile TEXT,
sabhasad_count INTEGER DEFAULT 0,
contact_in_group INTEGER DEFAULT 0,
status TEXT DEFAULT 'Active',
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Products table
conn.execute("""
CREATE TABLE IF NOT EXISTS products (
product_id INTEGER PRIMARY KEY AUTOINCREMENT,
product_name TEXT UNIQUE NOT NULL,
packing_type TEXT,
capacity_ltr REAL,
category TEXT,
standard_rate REAL,
is_active INTEGER DEFAULT 1,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Sales table
conn.execute("""
CREATE TABLE IF NOT EXISTS sales (
sale_id INTEGER PRIMARY KEY AUTOINCREMENT,
invoice_no TEXT UNIQUE NOT NULL,
customer_id INTEGER,
sale_date DATE,
total_amount REAL DEFAULT 0,
total_liters REAL DEFAULT 0,
payment_status TEXT DEFAULT 'Pending',
notes TEXT,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (customer_id) REFERENCES customers (customer_id) ON DELETE SET NULL
)
""")
# Sale items table
conn.execute("""
CREATE TABLE IF NOT EXISTS sale_items (
item_id INTEGER PRIMARY KEY AUTOINCREMENT,
sale_id INTEGER,
product_id INTEGER,
quantity INTEGER,
rate REAL,
amount REAL,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (sale_id) REFERENCES sales (sale_id) ON DELETE CASCADE,
FOREIGN KEY (product_id) REFERENCES products (product_id) ON DELETE SET NULL
)
""")
# Payments table
conn.execute("""
CREATE TABLE IF NOT EXISTS payments (
payment_id INTEGER PRIMARY KEY AUTOINCREMENT,
sale_id INTEGER,
payment_date DATE,
payment_method TEXT,
amount REAL,
rrn TEXT,
reference TEXT,
status TEXT DEFAULT 'Completed',
notes TEXT,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (sale_id) REFERENCES sales (sale_id) ON DELETE CASCADE
)
""")
# Demos table
conn.execute("""
CREATE TABLE IF NOT EXISTS demos (
demo_id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER,
distributor_id INTEGER,
demo_date DATE,
demo_time TIME,
product_id INTEGER,
quantity_provided INTEGER,
follow_up_date DATE,
conversion_status TEXT DEFAULT 'Not Converted',
notes TEXT,
demo_location TEXT,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (customer_id) REFERENCES customers (customer_id) ON DELETE SET NULL,
FOREIGN KEY (distributor_id) REFERENCES distributors (distributor_id) ON DELETE SET NULL,
FOREIGN KEY (product_id) REFERENCES products (product_id) ON DELETE SET NULL
)
""")
# WhatsApp logs table
conn.execute("""
CREATE TABLE IF NOT EXISTS whatsapp_logs (
log_id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER,
distributor_id INTEGER,
message_type TEXT,
message_content TEXT,
status TEXT,
sent_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
response TEXT,
FOREIGN KEY (customer_id) REFERENCES customers (customer_id) ON DELETE SET NULL,
FOREIGN KEY (distributor_id) REFERENCES distributors (distributor_id) ON DELETE SET NULL
)
""")
# Follow-ups table
conn.execute("""
CREATE TABLE IF NOT EXISTS follow_ups (
follow_up_id INTEGER PRIMARY KEY AUTOINCREMENT,
customer_id INTEGER,
distributor_id INTEGER,
demo_id INTEGER,
follow_up_date DATE,
follow_up_type TEXT,
notes TEXT,
status TEXT DEFAULT 'Pending',
next_follow_up_date DATE,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (customer_id) REFERENCES customers (customer_id) ON DELETE SET NULL,
FOREIGN KEY (distributor_id) REFERENCES distributors (distributor_id) ON DELETE SET NULL,
FOREIGN KEY (demo_id) REFERENCES demos (demo_id) ON DELETE SET NULL
)
""")
# System logs table
conn.execute("""
CREATE TABLE IF NOT EXISTS system_logs (
log_id INTEGER PRIMARY KEY AUTOINCREMENT,
log_type TEXT,
log_message TEXT,
table_name TEXT,
record_id INTEGER,
action TEXT,
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
user_info TEXT
)
""")
# Rollback logs table
conn.execute("""
CREATE TABLE IF NOT EXISTS rollback_logs (
rollback_id INTEGER PRIMARY KEY AUTOINCREMENT,
table_name TEXT,
record_id INTEGER,
old_data TEXT,
new_data TEXT,
action TEXT,
rollback_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
rolled_back_by TEXT
)
""")
# Offers table
conn.execute("""
CREATE TABLE IF NOT EXISTS offers (
offer_id INTEGER PRIMARY KEY AUTOINCREMENT,
offer_name TEXT NOT NULL,
offer_description TEXT,
product_id INTEGER,
discount_percentage REAL,
discount_amount REAL,
start_date DATE,
end_date DATE,
status TEXT DEFAULT 'Active',
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (product_id) REFERENCES products (product_id) ON DELETE SET NULL
)
""")
# Demo teams table
conn.execute("""
CREATE TABLE IF NOT EXISTS demo_teams (
team_id INTEGER PRIMARY KEY AUTOINCREMENT,
team_name TEXT NOT NULL,
team_leader TEXT,
team_members TEXT,
assigned_villages TEXT,
status TEXT DEFAULT 'Active',
created_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
conn.commit()
logger.info("Database tables initialized successfully")
except sqlite3.Error as e:
logger.error(f"Error initializing database: {e}")
raise
finally:
conn.close()
self.initialize_default_data()
self.migrate_database()
self.create_indexes()
def create_indexes(self):
"""Create indexes for better performance"""
conn = self.get_connection()
try:
# Create indexes for frequently queried columns
indexes = [
"CREATE INDEX IF NOT EXISTS idx_customers_village ON customers(village)",
"CREATE INDEX IF NOT EXISTS idx_customers_mobile ON customers(mobile)",
"CREATE INDEX IF NOT EXISTS idx_sales_customer_id ON sales(customer_id)",
"CREATE INDEX IF NOT EXISTS idx_sales_date ON sales(sale_date)",
"CREATE INDEX IF NOT EXISTS idx_sales_invoice ON sales(invoice_no)",
"CREATE INDEX IF NOT EXISTS idx_payments_sale_id ON payments(sale_id)",
"CREATE INDEX IF NOT EXISTS idx_demos_customer_id ON demos(customer_id)",
"CREATE INDEX IF NOT EXISTS idx_demos_date ON demos(demo_date)",
"CREATE INDEX IF NOT EXISTS idx_sale_items_sale_id ON sale_items(sale_id)",
"CREATE INDEX IF NOT EXISTS idx_follow_ups_date ON follow_ups(follow_up_date)",
"CREATE INDEX IF NOT EXISTS idx_whatsapp_customer_id ON whatsapp_logs(customer_id)",
]
for index_sql in indexes:
conn.execute(index_sql)
conn.commit()
logger.info("Database indexes created successfully")
except sqlite3.Error as e:
logger.error(f"Error creating indexes: {e}")
finally:
conn.close()
def migrate_database(self):
"""Migrate existing database to add missing columns"""
conn = self.get_connection()
try:
cursor = conn.cursor()
# Check if demo_time column exists
cursor.execute("PRAGMA table_info(demos)")
columns = [column[1] for column in cursor.fetchall()]
# Add demo_time column if it doesn't exist
if "demo_time" not in columns:
cursor.execute("ALTER TABLE demos ADD COLUMN demo_time TIME")
logger.info("Added demo_time column to demos table")
# Add demo_location column if it doesn't exist
if "demo_location" not in columns:
cursor.execute("ALTER TABLE demos ADD COLUMN demo_location TEXT")
logger.info("Added demo_location column to demos table")
conn.commit()
logger.info("Database migration completed successfully")
except sqlite3.Error as e:
logger.error(f"Error during database migration: {e}")
conn.rollback()
finally:
conn.close()
def initialize_default_data(self):
"""Initialize with default products and demo teams"""
default_products = [
("1 LTR PLASTIC JAR", "PLASTIC_JAR", 1.0, "Regular", 95),
("2 LTR PLASTIC JAR", "PLASTIC_JAR", 2.0, "Regular", 185),
("5 LTR PLASTIC JAR", "PLASTIC_JAR", 5.0, "Regular", 460),
("5 LTR STEEL BARNI", "STEEL_BARNI", 5.0, "Premium", 680),
("10 LTR STEEL BARNI", "STEEL_BARNI", 10.0, "Premium", 1300),
("20 LTR STEEL BARNI", "STEEL_BARNI", 20.0, "Premium", 2950),
("20 LTR PLASTIC CAN", "PLASTIC_CAN", 20.0, "Regular", 2400),
("1 LTR PET BOTTLE", "PET_BOTTLE", 1.0, "Regular", 85),
]
default_teams = [
(
"Team A - North Region",
"Rajesh Kumar",
"Mohan, Suresh, Priya",
"Amiyad, Amvad, Ankalav",
),
(
"Team B - South Region",
"Sunil Patel",
"Anita, Vijay, Deepak",
"Petlad, Borsad, Vadodara",
),
]
conn = self.get_connection()
try:
# Insert default products
for product in default_products:
conn.execute(
"""
INSERT OR IGNORE INTO products (product_name, packing_type, capacity_ltr, category, standard_rate)
VALUES (?, ?, ?, ?, ?)
""",
product,
)
# Insert default demo teams
for team in default_teams:
conn.execute(
"""
INSERT OR IGNORE INTO demo_teams (team_name, team_leader, team_members, assigned_villages)
VALUES (?, ?, ?, ?)
""",
team,
)
conn.commit()
logger.info("Default data initialized successfully")
except sqlite3.Error as e:
logger.error(f"Error initializing default data: {e}")
finally:
conn.close()
def _execute_query_internal(self, query: str, params: tuple = None) -> List[tuple]:
"""Internal method to execute SQL query without logging"""
conn = self.get_connection()
try:
cursor = conn.cursor()
if params:
cursor.execute(query, params)
else:
cursor.execute(query)
# Only try to fetch results for SELECT queries
if query.strip().upper().startswith("SELECT"):
result = cursor.fetchall()
elif query.strip().upper().startswith("INSERT"):
# For INSERT queries, return the lastrowid as a single-row result
result = [(cursor.lastrowid,)]
else:
result = []
conn.commit()
return result
except sqlite3.Error as e:
logger.error(f"Database query error: {e}")
conn.rollback()
raise
finally:
conn.close()
def execute_query(
self, query: str, params: tuple = None, log_action: bool = True
) -> List[tuple]:
"""Execute a SQL query with comprehensive error handling"""
try:
result = self._execute_query_internal(query, params)
# Log the query execution (but avoid recursion)
if log_action and not self._is_logging:
try:
self._is_logging = True
self._execute_query_internal(
"""
INSERT INTO system_logs (log_type, log_message, table_name, record_id, action)
VALUES (?, ?, ?, ?, ?)
""",
(
"QUERY_EXECUTION",
f"Executed query: {query[:100]}...",
None,
None,
"EXECUTE",
),
)
except Exception as e:
logger.error(f"Error logging system action: {e}")
finally:
self._is_logging = False
return result
except Exception as e:
logger.error(f"Error in execute_query: {e}")
return [] # Return empty list instead of raising exception
def get_dataframe(
self, table_name: str = None, query: str = None, params: tuple = None
) -> pd.DataFrame:
"""Get table data as DataFrame with flexible query support"""
conn = self.get_connection()
try:
if query:
df = pd.read_sql_query(query, conn, params=params)
else:
df = pd.read_sql_query(f"SELECT * FROM {table_name}", conn)
return df
except Exception as e:
logger.error(
f"Error getting DataFrame for {table_name if table_name else 'query'}: {e}"
)
# Return empty DataFrame with proper structure
return pd.DataFrame()
finally:
conn.close()
def add_customer(
self,
name: str,
mobile: str = "",
village: str = "",
taluka: str = "",
district: str = "",
customer_code: str = None,
) -> int:
"""Add a new customer with duplicate handling"""
# Generate customer code if not provided
if not customer_code:
customer_code = f"CUST{datetime.now().strftime('%Y%m%d%H%M%S')}{random.randint(100, 999)}"
try:
# Check if customer already exists (by mobile or similar name+village)
existing_customer = self.execute_query(
"SELECT customer_id FROM customers WHERE mobile = ? OR (name = ? AND village = ?)",
(mobile, name, village),
log_action=False,
)
if existing_customer:
# Customer already exists, return existing ID
return existing_customer[0][0]
# If customer_code already exists, generate a new one
max_attempts = 5
for attempt in range(max_attempts):
try:
result = self.execute_query(
"""
INSERT INTO customers (customer_code, name, mobile, village, taluka, district)
VALUES (?, ?, ?, ?, ?, ?)
""",
(customer_code, name, mobile, village, taluka, district),
log_action=False,
)
break
except sqlite3.IntegrityError as e:
if (
"UNIQUE constraint failed: customers.customer_code" in str(e)
and attempt < max_attempts - 1
):
# Generate new unique customer code
customer_code = f"CUST{datetime.now().strftime('%Y%m%d%H%M%S')}{random.randint(1000, 9999)}"
continue
else:
raise e
# Get the inserted customer_id
customer_id = self.execute_query(
"SELECT last_insert_rowid()", log_action=False
)[0][0]
self.log_system_action(
"CUSTOMER_ADD",
f"Added customer: {name}",
"customers",
customer_id,
"INSERT",
)
return customer_id
except Exception as e:
logger.error(f"Error adding customer: {e}")
# Return a fallback - this won't be in database but prevents crashes
return -1
def add_distributor(
self,
name: str,
village: str = "",
taluka: str = "",
district: str = "",
mantri_name: str = "",
mantri_mobile: str = "",
sabhasad_count: int = 0,
contact_in_group: int = 0,
status: str = "Active",
) -> int:
"""Add a new distributor with duplicate handling"""
try:
# Check if distributor already exists
existing_distributor = self.execute_query(
"SELECT distributor_id FROM distributors WHERE name = ? AND village = ? AND taluka = ?",
(name, village, taluka),
log_action=False,
)
if existing_distributor:
# Distributor already exists, return existing ID
return existing_distributor[0][0]
# Insert new distributor
self.execute_query(
"""
INSERT INTO distributors (name, village, taluka, district, mantri_name, mantri_mobile,
sabhasad_count, contact_in_group, status)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
name,
village,
taluka,
district,
mantri_name,
mantri_mobile,
sabhasad_count,
contact_in_group,
status,
),
log_action=False,
)
# Get the inserted distributor_id
distributor_id = self.execute_query(
"SELECT last_insert_rowid()", log_action=False
)[0][0]
self.log_system_action(
"DISTRIBUTOR_ADD",
f"Added distributor: {name}",
"distributors",
distributor_id,
"INSERT",
)
return distributor_id
except Exception as e:
logger.error(f"Error adding distributor: {e}")
return -1
def get_distributor_by_location(self, village: str, taluka: str) -> Optional[Dict]:
"""Get distributor by village and taluka"""
try:
result = self.execute_query(
"SELECT * FROM distributors WHERE village = ? AND taluka = ?",
(village, taluka),
log_action=False,
)
if result:
return dict(result[0])
return None
except Exception as e:
logger.error(f"Error getting distributor by location: {e}")
return None
def distributor_exists(self, name: str, village: str, taluka: str) -> bool:
"""Check if distributor already exists"""
try:
result = self.execute_query(
"SELECT distributor_id FROM distributors WHERE name = ? AND village = ? AND taluka = ?",
(name, village, taluka),
log_action=False,
)
return len(result) > 0
except Exception as e:
logger.error(f"Error checking distributor existence: {e}")
return False
# In your DatabaseManager class in database.py, replace the generate_invoice_number method:
def generate_invoice_number(self):
"""Generate automatic invoice number in format: INVCLmmyyserial"""
try:
# Get current date components
now = datetime.now()
month = now.strftime("%m") # Two-digit month
year = now.strftime("%y") # Two-digit year
# Get the last invoice number for this month-year
result = self.execute_query(
"SELECT invoice_no FROM sales WHERE invoice_no LIKE ? ORDER BY sale_id DESC LIMIT 1",
(f"INVCL{month}{year}%",),
log_action=False,
)
if result:
last_invoice = result[0][0]
# Extract serial number and increment
try:
# Format: INVCLmmyyXXX
serial_part = last_invoice[8:] # Get part after INVCLmmyy
last_serial = int(serial_part)
new_serial = last_serial + 1
except ValueError:
new_serial = 1
else:
# First invoice of the month-year
new_serial = 1
# Format: INVCL + month(2) + year(2) + serial(3 digits)
return f"INVCL{month}{year}{new_serial:03d}"
except Exception as e:
logger.error(f"Error generating invoice number: {e}")
# Fallback: timestamp-based
return f"INVCL{int(datetime.now().timestamp())}"
# Or if you want a more flexible version with configurable prefix:
def generate_invoice_number(self, prefix="INVCL"):
"""Generate automatic invoice number in format: PREFIXmmyyserial"""
try:
now = datetime.now()
month = now.strftime("%m")
year = now.strftime("%y")
result = self.execute_query(
"SELECT invoice_no FROM sales WHERE invoice_no LIKE ? ORDER BY sale_id DESC LIMIT 1",
(f"{prefix}{month}{year}%",),
log_action=False,
)
if result:
last_invoice = result[0][0]
try:
# Remove prefix and date part, get serial
serial_part = last_invoice[
len(prefix) + 4 :
] # prefix + 4 digits (mmyy)
last_serial = int(serial_part)
new_serial = last_serial + 1
except ValueError:
new_serial = 1
else:
new_serial = 1
return f"{prefix}{month}{year}{new_serial:03d}"
except Exception as e:
logger.error(f"Error generating invoice number: {e}")
return f"{prefix}{int(datetime.now().timestamp())}"
# Add to your DatabaseManager class in database.py
def add_sale(
self,
invoice_no: str,
customer_id: int,
sale_date,
items: List[Dict],
payments: List[Dict] = None,
notes: str = "",
) -> int:
"""Add a new sale with items and optional payments - ENHANCED"""
conn = self.get_connection()
try:
cursor = conn.cursor()
# Calculate total amount and liters
total_amount = sum(item["quantity"] * item["rate"] for item in items)
total_liters = sum(item.get("liters", 0) for item in items)
print(
f"🔧 DEBUG: Creating sale - Invoice: {invoice_no}, Customer: {customer_id}, Total: {total_amount}"
) # DEBUG
# Add sale record
cursor.execute(
"""
INSERT INTO sales (invoice_no, customer_id, sale_date, total_amount, total_liters, notes)
VALUES (?, ?, ?, ?, ?, ?)
""",
(invoice_no, customer_id, sale_date, total_amount, total_liters, notes),
)
# Get the sale ID
sale_id = cursor.lastrowid
print(f"🔧 DEBUG: Sale created with ID: {sale_id}") # DEBUG
# Add sale items
for item in items:
amount = item["quantity"] * item["rate"]
print(
f"🔧 DEBUG: Adding item - Product: {item['product_id']}, Qty: {item['quantity']}, Rate: {item['rate']}"
) # DEBUG
cursor.execute(
"""
INSERT INTO sale_items (sale_id, product_id, quantity, rate, amount)
VALUES (?, ?, ?, ?, ?)
""",
(
sale_id,
item["product_id"],
item["quantity"],
item["rate"],
amount,
),
)
# Add payments if provided
if payments:
for payment in payments:
cursor.execute(
"""
INSERT INTO payments (sale_id, payment_date, payment_method, amount, rrn, reference)
VALUES (?, ?, ?, ?, ?, ?)
""",
(
sale_id,
payment["payment_date"],
payment["method"],
payment["amount"],
payment.get("rrn", ""),
payment.get("reference", ""),
),
)
conn.commit()
# Update payment status
self._update_payment_status(sale_id)
print(f"🔧 DEBUG: Sale {sale_id} completed successfully") # DEBUG
return sale_id
except Exception as e:
conn.rollback()
logger.error(f"Error adding sale: {e}")
print(f"❌ ERROR in add_sale: {e}") # DEBUG
raise
finally:
conn.close()
def _update_payment_status(self, sale_id: int):
"""Update payment status for a sale"""
conn = self.get_connection()
try:
# Get total paid amount
cursor = conn.cursor()
cursor.execute(
"SELECT COALESCE(SUM(amount), 0) FROM payments WHERE sale_id = ?",
(sale_id,),
)
total_paid = cursor.fetchone()[0]
# Get sale total
cursor.execute(
"SELECT total_amount FROM sales WHERE sale_id = ?", (sale_id,)
)
sale_total = cursor.fetchone()[0]
# Determine payment status
if total_paid >= sale_total:
status = "Paid"
elif total_paid > 0:
status = "Partial"
else:
status = "Pending"
# Update status
cursor.execute(
"UPDATE sales SET payment_status = ? WHERE sale_id = ?",
(status, sale_id),
)
conn.commit()
except Exception as e:
logger.error(f"Error updating payment status: {e}")
finally:
conn.close()
def get_pending_payments(self) -> pd.DataFrame:
"""Get all pending payments with customer details"""
return self.get_dataframe(
"sales",
"""
SELECT s.sale_id, s.invoice_no, s.sale_date, c.name as customer_name,
c.mobile, c.village, s.total_amount,
(s.total_amount - COALESCE(SUM(p.amount), 0)) as pending_amount,
COALESCE(SUM(p.amount), 0) as paid_amount
FROM sales s
LEFT JOIN customers c ON s.customer_id = c.customer_id
LEFT JOIN payments p ON s.sale_id = p.sale_id
WHERE s.payment_status IN ('Pending', 'Partial')
GROUP BY s.sale_id
HAVING pending_amount > 0
ORDER BY s.sale_date DESC
""",
)
def get_demo_conversions(self) -> pd.DataFrame:
"""Get demo conversion statistics with details"""
return self.get_dataframe(
"demos",
"""
SELECT d.*, c.name as customer_name, p.product_name,
dist.name as distributor_name, c.village, c.taluka,
CASE WHEN d.conversion_status = 'Converted' THEN 1 ELSE 0 END as converted
FROM demos d
LEFT JOIN customers c ON d.customer_id = c.customer_id
LEFT JOIN products p ON d.product_id = p.product_id
LEFT JOIN distributors dist ON d.distributor_id = dist.distributor_id
ORDER BY d.demo_date DESC
""",
)
def get_sales_analytics(self, start_date: str = None, end_date: str = None) -> Dict:
"""Get comprehensive sales analytics"""
if not start_date:
start_date = (datetime.now() - timedelta(days=30)).strftime("%Y-%m-%d")
if not end_date:
end_date = datetime.now().strftime("%Y-%m-%d")
query = """
SELECT
COUNT(*) as total_sales,
SUM(total_amount) as total_revenue,
AVG(total_amount) as avg_sale_value,
COUNT(DISTINCT customer_id) as unique_customers,
SUM(CASE WHEN payment_status = 'Paid' THEN 1 ELSE 0 END) as completed_payments,
SUM(CASE WHEN payment_status IN ('Pending', 'Partial') THEN 1 ELSE 0 END) as pending_payments
FROM sales
WHERE sale_date BETWEEN ? AND ?
"""
result = self.execute_query(query, (start_date, end_date), log_action=False)
if result:
row = result[0]
return {
"total_sales": row[0] or 0,
"total_revenue": row[1] or 0,
"avg_sale_value": row[2] or 0,
"unique_customers": row[3] or 0,
"completed_payments": row[4] or 0,
"pending_payments": row[5] or 0,
}
return {}
def log_system_action(
self,
log_type: str,
message: str,
table_name: str = None,
record_id: int = None,
action: str = None,
):
"""Log system actions for audit trail - without recursion"""
if self._is_logging:
return # Prevent recursion
try:
self._is_logging = True
self._execute_query_internal(
"""
INSERT INTO system_logs (log_type, log_message, table_name, record_id, action)
VALUES (?, ?, ?, ?, ?)
""",
(log_type, message, table_name, record_id, action),
)
except Exception as e:
logger.error(f"Error logging system action: {e}")
finally:
self._is_logging = False
def create_rollback_point(
self, table_name: str, record_id: int, old_data: str, new_data: str, action: str
):
"""Create a rollback point for data changes"""
try:
self.execute_query(
"""
INSERT INTO rollback_logs (table_name, record_id, old_data, new_data, action)
VALUES (?, ?, ?, ?, ?)
""",
(table_name, record_id, old_data, new_data, action),
log_action=False,
)
except Exception as e:
logger.error(f"Error creating rollback point: {e}")
def get_recent_activity(self, limit: int = 10) -> pd.DataFrame:
"""Get recent system activity"""
return self.get_dataframe(
"system_logs",
f"""
SELECT log_type, log_message, table_name, record_id, action, created_date
FROM system_logs
ORDER BY created_date DESC
LIMIT {limit}
""",
)
def backup_database(self, backup_path: str = None):
"""Create a database backup"""
if not backup_path:
backup_path = f"backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}.db"
try:
conn = self.get_connection()
backup_conn = sqlite3.connect(backup_path)
with backup_conn:
conn.backup(backup_conn)
conn.close()
backup_conn.close()
logger.info(f"Database backup created: {backup_path}")
return backup_path
except Exception as e:
logger.error(f"Error creating database backup: {e}")
return None
def get_village_wise_sales(self) -> pd.DataFrame:
"""Get sales data grouped by village"""
return self.get_dataframe(
"sales",
"""
SELECT c.village, COUNT(s.sale_id) as total_sales,
SUM(s.total_amount) as total_revenue,
AVG(s.total_amount) as avg_sale_value,
COUNT(DISTINCT s.customer_id) as unique_customers
FROM sales s
JOIN customers c ON s.customer_id = c.customer_id
WHERE c.village IS NOT NULL AND c.village != ''
GROUP BY c.village
ORDER BY total_revenue DESC
""",
)
def get_product_performance(self) -> pd.DataFrame:
"""Get product performance analytics"""
return self.get_dataframe(
"sale_items",
"""
SELECT p.product_name, COUNT(si.item_id) as times_sold,
SUM(si.quantity) as total_quantity,
SUM(si.amount) as total_revenue,
AVG(si.rate) as avg_rate
FROM sale_items si
JOIN products p ON si.product_id = p.product_id
GROUP BY p.product_id, p.product_name
ORDER BY total_revenue DESC
""",
)
def get_upcoming_follow_ups(self) -> pd.DataFrame:
"""Get upcoming follow-ups"""
return self.get_dataframe(
"follow_ups",
"""
SELECT f.*, c.name as customer_name, c.mobile,
d.name as distributor_name, dm.demo_date
FROM follow_ups f
LEFT JOIN customers c ON f.customer_id = c.customer_id
LEFT JOIN distributors d ON f.distributor_id = d.distributor_id
LEFT JOIN demos dm ON f.demo_id = dm.demo_id
WHERE f.follow_up_date >= date('now')
AND f.status = 'Pending'
ORDER BY f.follow_up_date ASC
LIMIT 20
""",
)
def get_whatsapp_logs(self, customer_id: int = None) -> pd.DataFrame:
"""Get WhatsApp communication logs"""
if customer_id:
return self.get_dataframe(
"whatsapp_logs",
"""
SELECT w.*, c.name as customer_name, c.mobile
FROM whatsapp_logs w
LEFT JOIN customers c ON w.customer_id = c.customer_id
WHERE w.customer_id = ?
ORDER BY w.sent_date DESC
""",
(customer_id,),
)
else:
return self.get_dataframe(
"whatsapp_logs",
"""
SELECT w.*, c.name as customer_name, c.mobile
FROM whatsapp_logs w
LEFT JOIN customers c ON w.customer_id = c.customer_id
ORDER BY w.sent_date DESC
LIMIT 50
""",
)
def cleanup_old_data(self, days: int = 365):
"""Clean up old data (logs, etc.) older than specified days"""
try:
cutoff_date = (datetime.now() - timedelta(days=days)).strftime("%Y-%m-%d")
# Clean system logs
self.execute_query(
"DELETE FROM system_logs WHERE created_date < ?",
(cutoff_date,),
log_action=False,
)
# Clean rollback logs
self.execute_query(
"DELETE FROM rollback_logs WHERE rollback_date < ?",
(cutoff_date,),
log_action=False,
)
logger.info(f"Cleaned up data older than {days} days")
except Exception as e:
logger.error(f"Error cleaning up old data: {e}")
# Utility function to check database health
def check_database_health(db_path: str = "sales_management.db") -> Dict:
"""Check database health and statistics"""
try:
db = DatabaseManager(db_path)
# Get table counts
tables = ["customers", "sales", "distributors", "demos", "payments", "products"]
counts = {}
for table in tables:
result = db.execute_query(f"SELECT COUNT(*) FROM {table}", log_action=False)
counts[table] = result[0][0] if result else 0
# Get database size
db_size = os.path.getsize(db_path) if os.path.exists(db_path) else 0
return {
"status": "healthy",
"table_counts": counts,
"database_size_mb": round(db_size / (1024 * 1024), 2),
"last_backup": "N/A", # You can implement backup tracking
"integrity_check": "passed", # You can add actual integrity checks
}
except Exception as e:
return {
"status": "error",
"error": str(e),
"table_counts": {},
"database_size_mb": 0,
"integrity_check": "failed",
}
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