AWS Price CSV Skill

Overview

Transforms a user-provided AWS service list (instances, volumes, S3 buckets, etc.) into a pricing CSV. The script can query the AWS Price List API (via aws-cli) or reuse cached bulk JSON files. It supports On-Demand and Reserved terms and automatically adds up per-item and total costs.

Quick Start

1. Prepare a YAML/JSON file with name, service_code, filters, term, and usage fields (see sample in references/api_reference.md).
2. Pick the data source:
• API mode – requires aws pricing get-products permission and an internet connection.
• Bulk mode – no IAM access required; the script downloads/caches public bulk JSON files.
3. Run the script with the region and desired options:

```bash

python3 scripts/generate_pricing_csv.py \

--input inputs/sample.yml \

--region ap-northeast-1 \

--source bulk \

--cache-dir ~/.cache/aws-price-csv \

--output quotes/apac_quote.csv

```

1. Inspect the CSV (each line item + TOTAL) and deliver alongside the original request if needed.

Workflow

1. Prepare the input list

• Use the YAML/JSON templates in references/api_reference.md.
• filters must map to AWS pricing attributes (instanceType, regionCode, volumeApiName, usagetype, termType, etc.).
• term.type: OnDemand or Reserved (RI).
• term.attributes (optional) filter Reserved prices (LeaseContractLength, PurchaseOption, OfferingClass, ...).
• usage.quantity represents the amount to multiply (hours, GB-Mo, requests, ...).

2. Choose the data source

> You can still override with --bulk-files ServiceCode=/path/to/file.json; those files win over the cache.

3. Generate the CSV

• Script path: scripts/generate_pricing_csv.py
• Key arguments:
• --input: YAML/JSON list
• --region: AWS region code (location name is auto-added to filters)
• --output: CSV path (default aws_pricing.csv)
• --source: api (default) or bulk
• --cache-dir: bulk cache directory (default ~/.cache/aws-price-csv)
• --force-refresh: ignore cached bulk files and re-download
• --bulk-files: ServiceCode=/path/to/file.json overrides the cache
• Output columns: item_name, service_code, term_type, region, location, quantity, usage_unit, price_unit, price_per_unit_usd, cost_usd, description, plus a TOTAL row.

4. Validate & deliver

• Review the CSV to ensure every line item has pricing and a description.
• Confirm the TOTAL matches expectations.
• Include the source list or any supporting docs if required.

Troubleshooting

Resources

• scripts/generate_pricing_csv.py – main script with API/bulk support, caching logic, and On-Demand/Reserved handling.
• references/api_reference.md – Price List API examples, bulk download pointers, region/location table, and sample input templates (including gp3 and RI cases).