aws-price-csv

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name: aws-price-csv description: Generate AWS cost CSVs from a user-provided service list. Use when someone supplies an item list + AWS region and needs per-item pricing plus totals via AWS Price List API or bulk pricing JSON.

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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:

   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
   

4. 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

| Mode | When to use | Notes | |------|-------------|-------| | API (--source api) | You already have IAM creds and want real-time data | Uses aws pricing get-products in us-east-1 | | Bulk (--source bulk) | Offline, no IAM, or you want caching | The script checks --cache-dir (default ~/.cache/aws-price-csv); cached files newer than 30 days are reused, otherwise they are re-downloaded |

> 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

| Issue | Fix | |-------|-----| | aws pricing returns empty results | Double-check filters (location, regionCode, termType, etc.) or fall back to bulk mode | | aws CLI missing | Install aws-cli v2, configure credentials, or rely on bulk mode | | Need to refresh cached data | Use --force-refresh or delete the cached JSON so it gets re-downloaded | | PyYAML missing | pip install pyyaml or convert input to JSON | | Reserved price not found | Add LeaseContractLength, PurchaseOption, OfferingClass inside term.attributes |

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).

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:

   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
   

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