252 lines
8.8 KiB
Python
252 lines
8.8 KiB
Python
from django.shortcuts import render, get_object_or_404
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from django.db.models import Q
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from hub.services.models import (
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ServiceOffering,
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CloudProvider,
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Category,
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Service,
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ComputePlan,
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VSHNAppCatPrice,
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)
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import re
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from collections import defaultdict
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def natural_sort_key(name):
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"""Extract numeric part from compute plan name for natural sorting"""
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match = re.search(r"compute-std-(\d+)", name)
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return int(match.group(1)) if match else 0
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def offering_list(request):
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offerings = (
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ServiceOffering.objects.filter(disable_listing=False)
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.order_by("service")
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.select_related("service", "cloud_provider")
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.prefetch_related(
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"service__categories",
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"plans",
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)
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)
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cloud_providers = CloudProvider.objects.all()
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categories = Category.objects.filter(parent=None).prefetch_related("children")
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services = Service.objects.all().order_by("name")
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# Handle cloud provider filter
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if request.GET.get("cloud_provider"):
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provider_id = request.GET.get("cloud_provider")
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offerings = offerings.filter(cloud_provider_id=provider_id)
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# Handle category filter
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if request.GET.get("category"):
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category_id = request.GET.get("category")
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category = get_object_or_404(Category, id=category_id)
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subcategories = Category.objects.filter(parent=category)
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offerings = offerings.filter(
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Q(service__categories=category) | Q(service__categories__in=subcategories)
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).distinct()
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# Handle service filter
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if request.GET.get("service"):
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service_id = request.GET.get("service")
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offerings = offerings.filter(service_id=service_id)
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# Handle search
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if request.GET.get("search"):
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query = request.GET.get("search")
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offerings = offerings.filter(
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Q(service__name__icontains=query)
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| Q(description__icontains=query)
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| Q(cloud_provider__name__icontains=query)
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).distinct()
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context = {
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"offerings": offerings,
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"cloud_providers": cloud_providers,
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"categories": categories,
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"services": services,
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}
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return render(request, "services/offering_list.html", context)
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def offering_detail(request, provider_slug, service_slug):
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offering = get_object_or_404(
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ServiceOffering.objects.select_related(
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"service", "cloud_provider"
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).prefetch_related("plans"),
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cloud_provider__slug=provider_slug,
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service__slug=service_slug,
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)
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pricing_data_by_group_and_service_level = None
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# Generate pricing data for VSHN offerings
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if offering.msp == "VS":
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pricing_data_by_group_and_service_level = generate_pricing_data(offering)
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context = {
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"offering": offering,
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"pricing_data_by_group_and_service_level": pricing_data_by_group_and_service_level,
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}
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return render(request, "services/offering_detail.html", context)
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def generate_pricing_data(offering):
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"""Generate pricing data for a specific offering and cloud provider"""
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# Fetch compute plans for this cloud provider
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compute_plans = (
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ComputePlan.objects.filter(active=True, cloud_provider=offering.cloud_provider)
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.select_related("cloud_provider", "group")
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.prefetch_related("prices")
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.order_by("group__order", "group__name")
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)
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# Apply natural sorting for compute plan names
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compute_plans = sorted(
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compute_plans,
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key=lambda x: (
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x.group.order if x.group else 999,
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x.group.name if x.group else "ZZZ",
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natural_sort_key(x.name),
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),
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)
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# Fetch pricing for this specific service
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try:
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appcat_price = (
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VSHNAppCatPrice.objects.select_related("service", "discount_model")
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.prefetch_related("base_fees", "unit_rates", "discount_model__tiers")
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.get(service=offering.service)
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)
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except VSHNAppCatPrice.DoesNotExist:
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return None
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pricing_data_by_group_and_service_level = defaultdict(lambda: defaultdict(list))
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processed_combinations = set()
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# Generate pricing combinations for each compute plan
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for plan in compute_plans:
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plan_currencies = set(plan.prices.values_list("currency", flat=True))
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# Determine units based on variable unit type
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if appcat_price.variable_unit == VSHNAppCatPrice.VariableUnit.RAM:
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units = int(plan.ram)
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elif appcat_price.variable_unit == VSHNAppCatPrice.VariableUnit.CPU:
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units = int(plan.vcpus)
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else:
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continue
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base_fee_currencies = set(
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appcat_price.base_fees.values_list("currency", flat=True)
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)
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service_levels = appcat_price.unit_rates.values_list(
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"service_level", flat=True
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).distinct()
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for service_level in service_levels:
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unit_rate_currencies = set(
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appcat_price.unit_rates.filter(service_level=service_level).values_list(
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"currency", flat=True
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)
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)
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# Find currencies that exist across all pricing components
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matching_currencies = plan_currencies.intersection(
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base_fee_currencies
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).intersection(unit_rate_currencies)
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if not matching_currencies:
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continue
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for currency in matching_currencies:
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combination_key = (
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plan.name,
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service_level,
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currency,
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)
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# Skip if combination already processed
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if combination_key in processed_combinations:
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continue
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processed_combinations.add(combination_key)
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# Get pricing components
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compute_plan_price = plan.get_price(currency)
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base_fee = appcat_price.get_base_fee(currency)
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unit_rate = appcat_price.get_unit_rate(currency, service_level)
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# Skip if any pricing component is missing
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if any(
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price is None for price in [compute_plan_price, base_fee, unit_rate]
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):
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continue
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# Calculate replica enforcement based on service level
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if service_level == VSHNAppCatPrice.ServiceLevel.GUARANTEED:
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replica_enforce = appcat_price.ha_replica_min
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else:
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replica_enforce = 1
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total_units = units * replica_enforce
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standard_sla_price = base_fee + (total_units * unit_rate)
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# Apply discount if available
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if appcat_price.discount_model and appcat_price.discount_model.active:
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discounted_price = appcat_price.discount_model.calculate_discount(
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unit_rate, total_units
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)
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sla_price = base_fee + discounted_price
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else:
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sla_price = standard_sla_price
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final_price = compute_plan_price + sla_price
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service_level_display = dict(VSHNAppCatPrice.ServiceLevel.choices)[
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service_level
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]
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group_name = plan.group.name if plan.group else "No Group"
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# Add pricing data to the grouped structure
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pricing_data_by_group_and_service_level[group_name][
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service_level_display
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].append(
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{
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"compute_plan": plan.name,
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"compute_plan_group": group_name,
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"compute_plan_group_description": (
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plan.group.description if plan.group else ""
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),
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"vcpus": plan.vcpus,
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"ram": plan.ram,
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"currency": currency,
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"compute_plan_price": compute_plan_price,
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"sla_price": sla_price,
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"final_price": final_price,
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}
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)
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# Order groups correctly, placing "No Group" last
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ordered_groups = {}
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all_group_names = list(pricing_data_by_group_and_service_level.keys())
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if "No Group" in all_group_names:
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all_group_names.remove("No Group")
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all_group_names.append("No Group")
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for group_name_key in all_group_names:
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ordered_groups[group_name_key] = pricing_data_by_group_and_service_level[
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group_name_key
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]
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# Convert defaultdicts to regular dicts for the template
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final_context_data = {}
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for group_key, service_levels_dict in ordered_groups.items():
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final_context_data[group_key] = {
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sl_key: list(plans_list)
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for sl_key, plans_list in service_levels_dict.items()
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}
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return final_context_data
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