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dashboard_project/dashboard/management/__init__.py
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2
dashboard_project/dashboard/management/__init__.py
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# dashboard/management/__init__.py
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# This file is intentionally left empty to mark the directory as a Python package
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# dashboard/management/commands/__init__.py
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# This file is intentionally left empty to mark the directory as a Python package
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# dashboard/management/commands/create_sample_data.py
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import csv
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import io
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import random
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from datetime import datetime, timedelta
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from accounts.models import Company
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from dashboard.models import ChatSession, Dashboard, DataSource
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from django.contrib.auth import get_user_model
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from django.core.files.base import ContentFile
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from django.core.management.base import BaseCommand
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from django.utils import timezone
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User = get_user_model()
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class Command(BaseCommand):
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help = "Create sample data for testing"
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def handle(self, *args, **kwargs):
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self.stdout.write("Creating sample data...")
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# Create admin user if it doesn't exist
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if not User.objects.filter(username="admin").exists():
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admin_user = User.objects.create_superuser(username="admin", email="admin@example.com", password="admin123")
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self.stdout.write(self.style.SUCCESS(f"Created admin user: {admin_user.username}"))
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else:
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admin_user = User.objects.get(username="admin")
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self.stdout.write(f"Admin user already exists: {admin_user.username}")
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# Create companies
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companies = []
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company_names = ["Acme Inc.", "TechCorp", "GlobalServices"]
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for name in company_names:
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company, created = Company.objects.get_or_create(
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name=name, defaults={"description": f"Sample company: {name}"}
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)
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companies.append(company)
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if created:
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self.stdout.write(self.style.SUCCESS(f"Created company: {company.name}"))
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else:
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self.stdout.write(f"Company already exists: {company.name}")
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# Create users for each company
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for i, company in enumerate(companies):
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# Company admin
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username = f"admin_{company.name.lower().replace(' ', '_')}"
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if not User.objects.filter(username=username).exists():
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user = User.objects.create_user(
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username=username,
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email=f"{username}@example.com",
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password="password123",
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company=company,
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is_company_admin=True,
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)
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self.stdout.write(self.style.SUCCESS(f"Created company admin: {user.username}"))
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# Regular users
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for j in range(2):
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username = f"user_{company.name.lower().replace(' ', '_')}_{j + 1}"
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if not User.objects.filter(username=username).exists():
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user = User.objects.create_user(
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username=username,
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email=f"{username}@example.com",
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password="password123",
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company=company,
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)
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self.stdout.write(self.style.SUCCESS(f"Created user: {user.username}"))
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# Create sample data for each company
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for company in companies:
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self._create_sample_data_for_company(company)
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self.stdout.write(self.style.SUCCESS("Sample data created successfully!"))
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def _create_sample_data_for_company(self, company):
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# Create sample CSV data
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csv_data = self._generate_sample_csv_data(company.name)
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# Create data source
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data_source_name = f"{company.name} Chat Data"
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try:
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data_source = DataSource.objects.get(name=data_source_name, company=company)
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self.stdout.write(f"Data source already exists: {data_source.name}")
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except DataSource.DoesNotExist:
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# Create file from CSV data
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csv_file = ContentFile(csv_data.encode("utf-8"))
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data_source = DataSource.objects.create(
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name=data_source_name,
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description=f"Sample chat data for {company.name}",
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company=company,
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)
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data_source.file.save(f"{company.name.lower().replace(' ', '_')}_chat_data.csv", csv_file)
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self.stdout.write(self.style.SUCCESS(f"Created data source: {data_source.name}"))
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# Parse CSV data and create chat sessions
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reader = csv.DictReader(io.StringIO(csv_data))
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for row in reader:
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# Convert datetime strings to datetime objects
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start_time = datetime.strptime(row["start_time"], "%Y-%m-%d %H:%M:%S")
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end_time = datetime.strptime(row["end_time"], "%Y-%m-%d %H:%M:%S")
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# Convert boolean strings to actual booleans
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escalated = row["escalated"].lower() in ["true", "yes", "1", "t", "y"]
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forwarded_hr = row["forwarded_hr"].lower() in [
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"true",
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"yes",
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"1",
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"t",
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"y",
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]
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# Create chat session
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ChatSession.objects.create(
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data_source=data_source,
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session_id=row["session_id"],
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start_time=timezone.make_aware(start_time),
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end_time=timezone.make_aware(end_time),
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ip_address=row["ip_address"],
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country=row["country"],
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language=row["language"],
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messages_sent=int(row["messages_sent"]),
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sentiment=row["sentiment"],
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escalated=escalated,
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forwarded_hr=forwarded_hr,
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full_transcript=row["full_transcript"],
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avg_response_time=float(row["avg_response_time"]),
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tokens=int(row["tokens"]),
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tokens_eur=float(row["tokens_eur"]),
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category=row["category"],
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initial_msg=row["initial_msg"],
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user_rating=row["user_rating"],
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)
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self.stdout.write(self.style.SUCCESS(f"Created {reader.line_num} chat sessions"))
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# Create default dashboard
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dashboard_name = f"{company.name} Dashboard"
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try:
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dashboard = Dashboard.objects.get(name=dashboard_name, company=company)
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self.stdout.write(f"Dashboard already exists: {dashboard.name}")
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except Dashboard.DoesNotExist:
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dashboard = Dashboard.objects.create(
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name=dashboard_name,
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description=f"Default dashboard for {company.name}",
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company=company,
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)
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dashboard.data_sources.add(data_source)
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self.stdout.write(self.style.SUCCESS(f"Created dashboard: {dashboard.name}"))
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def _generate_sample_csv_data(self, company_name):
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"""Generate sample CSV data for a company"""
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rows = []
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headers = [
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"session_id",
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"start_time",
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"end_time",
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"ip_address",
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"country",
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"language",
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"messages_sent",
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"sentiment",
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"escalated",
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"forwarded_hr",
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"full_transcript",
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"avg_response_time",
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"tokens",
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"tokens_eur",
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"category",
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"initial_msg",
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"user_rating",
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]
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# Sample data for generating random values
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countries = [
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"USA",
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"UK",
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"Germany",
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"France",
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"Spain",
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"Italy",
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"Japan",
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"Australia",
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"Canada",
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"Brazil",
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]
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languages = ["English", "Spanish", "German", "French", "Japanese", "Portuguese"]
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sentiments = [
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"Positive",
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"Negative",
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"Neutral",
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"Very Positive",
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"Very Negative",
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]
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categories = ["Support", "Sales", "Technical", "Billing", "General"]
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ratings = ["Excellent", "Good", "Average", "Poor", "Terrible", ""]
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# Generate rows
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num_rows = random.randint(50, 100)
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for i in range(num_rows):
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# Generate random dates in the last 30 days
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end_date = datetime.now() - timedelta(days=random.randint(0, 30))
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start_date = end_date - timedelta(minutes=random.randint(5, 60))
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# Generate random IP address
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ip = ".".join(str(random.randint(0, 255)) for _ in range(4))
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# Random country and language
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country = random.choice(countries)
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language = random.choice(languages)
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# Random message count
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messages_sent = random.randint(3, 20)
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# Random sentiment
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sentiment = random.choice(sentiments)
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# Random escalation and forwarding
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escalated = random.random() < 0.2 # 20% chance of escalation
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forwarded_hr = random.random() < 0.1 # 10% chance of forwarding to HR
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# Generate a sample transcript
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transcript = (
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"User: Hello, I need help with my account.\n"
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"Agent: Hello! I'd be happy to help. What seems to be the issue?\n"
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"User: I can't log in to my account.\n"
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"Agent: I understand. Let me help you reset your password."
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)
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# Random response time, tokens, and cost
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avg_response_time = round(random.uniform(0.5, 10.0), 2)
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tokens = random.randint(100, 2000)
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tokens_eur = round(tokens * 0.00002, 4) # Example rate: €0.00002 per token
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# Random category
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category = random.choice(categories)
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# Initial message
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initial_msg = "Hello, I need help with my account."
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# Random rating
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user_rating = random.choice(ratings)
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# Create row
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row = {
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"session_id": f"{company_name.lower().replace(' ', '_')}_{i + 1}",
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"start_time": start_date.strftime("%Y-%m-%d %H:%M:%S"),
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"end_time": end_date.strftime("%Y-%m-%d %H:%M:%S"),
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"ip_address": ip,
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"country": country,
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"language": language,
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"messages_sent": str(messages_sent),
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"sentiment": sentiment,
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"escalated": str(escalated),
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"forwarded_hr": str(forwarded_hr),
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"full_transcript": transcript,
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"avg_response_time": str(avg_response_time),
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"tokens": str(tokens),
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"tokens_eur": str(tokens_eur),
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"category": category,
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"initial_msg": initial_msg,
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"user_rating": user_rating,
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}
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rows.append(row)
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# Write to CSV string
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output = io.StringIO()
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writer = csv.DictWriter(output, fieldnames=headers)
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writer.writeheader()
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writer.writerows(rows)
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return output.getvalue()
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