cloudcosting 1.1.1

Multi-cloud infrastructure cost estimation tool

cloudcosting

Multi-cloud infrastructure cost estimation tool. Fetches real-time pricing from cloud provider APIs (AWS Pricing API), caches results locally, and produces structured YAML/JSON cost breakdowns.

Architecture

Config YAML -> Config Loader -> Estimator -> Provider Registry -> AWS Provider
                                                                    |
                                                              Calculator per resource type
                                                                    |
                                                              Pricing Adapter (API + Cache)
                                                                    |
                                                              Estimate output (YAML/JSON)

Layers

Layer	Module	Responsibility
Domain	domain.py	Dataclasses, exceptions, serialization
Config	config.py	YAML parsing, structural validation
Cache	cache.py	File-based pricing cache with TTL
Estimator	estimator.py	Transaction script: config -> providers -> aggregate
Provider	providers/aws/	AWS-specific pricing adapter and calculators
CLI	cli.py	Command-line interface

Supported AWS Resource Types

Type	Calculator	Required Params
rds	RDS instances	engine, instance_class, storage_gb
ec2	EC2 instances	instance_type
nat_gateway	NAT Gateways	(none required)
alb	Application Load Balancers	(none required)
ebs	EBS Volumes	size_gb
s3	S3 Storage	size_gb

Setup

cd cloudcosting
uv venv .venv
source .venv/bin/activate
uv pip install -e ".[dev]"

Usage

# Run estimation
python -m cloudcosting estimate config.yaml

# Output as JSON
python -m cloudcosting estimate config.yaml --format json

# Write to file
python -m cloudcosting estimate config.yaml -o costs.yaml

# Cache management
python -m cloudcosting cache status
python -m cloudcosting cache refresh aws

Example Config

provider: aws
region: us-east-1

resources:
  - type: rds
    label: Primary Database
    engine: postgres
    instance_class: db.r6g.xlarge
    storage_gb: 250
    multi_az: true

  - type: ec2
    label: Web Servers
    instance_type: t3.micro
    count: 3

  - type: nat_gateway
    label: NAT Gateways
    count: 2

  - type: alb
    label: Application Load Balancer

  - type: ebs
    label: Data Volumes
    size_gb: 500
    volume_type: gp3
    count: 3

  - type: s3
    label: Document Storage
    size_gb: 1000

Testing

# Run all tests
python -m pytest tests/ -v

# Run specific test module
python -m pytest tests/unit/test_domain.py -v
python -m pytest tests/unit/providers/aws/test_rds.py -v

# Run with coverage
python -m pytest tests/ -v --tb=short

52 unit tests covering domain invariants, config validation, cache behavior, calculator arithmetic, and full estimation pipeline.

Adding New Resource Types

1. Create a calculator module in providers/aws/calculators/ with validate() and estimate() functions
2. Register it in providers/aws/provider.py CALCULATOR_REGISTRY
3. Add tests in tests/unit/providers/aws/

Adding New Providers

1. Create a provider package under providers/ (e.g., providers/azure/)
2. Implement the same interface as AwsProvider (with estimate_resources())
3. Register it in providers/registry.py