feat: crud-pricing initial implementation
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Complete CRUD service for AWS pricing operations - single source of truth.

Features:
- Dual pricing model (retail + account-specific with auto EDP/PPA detection)
- Get/Put pricing operations with intelligent caching
- AWS Pricing API integration for public list prices
- AWS Cost Explorer integration for account-specific pricing
- Access counting for self-learning 14-day refresh
- Query most-accessed instances (powers smart refresh)
- TTL: 30 days (retail), 7 days (account-specific)

Architecture:
- All other lambdas use this for pricing operations
- No direct DynamoDB access from other components
- Consistent schema enforcement
- Complete IAM setup for Pricing API, Cost Explorer, STS

Infrastructure:
- Complete Terraform configuration
- Full CI/CD pipeline (Jenkinsfile)
- Comprehensive documentation
- Production-ready scaffolding

Part of Phase 1 - foundation for pricing system.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2025-11-27 04:20:56 -05:00
commit e88609d724
13 changed files with 2494 additions and 0 deletions

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/target
Cargo.lock
.env
*.swp
*.swo
*~
.DS_Store

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[package]
name = "crud-pricing"
version = "0.1.0"
edition = "2021"
[[bin]]
name = "bootstrap"
path = "src/main.rs"
[dependencies]
# AWS SDK
aws-config = { version = "1.5", features = ["behavior-version-latest"] }
aws-sdk-dynamodb = "1.60"
aws-sdk-pricing = "1.60"
aws-sdk-costexplorer = "1.60"
aws-sdk-sts = "1.60"
# Lambda runtime
lambda_runtime = "0.13"
tokio = { version = "1", features = ["full"] }
# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
# Date/Time
chrono = { version = "0.4", features = ["serde"] }
# Logging
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
# Error handling
anyhow = "1.0"
thiserror = "1.0"
[dev-dependencies]
tokio-test = "0.4"

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pipeline {
agent any
options {
ansiColor('xterm')
disableConcurrentBuilds()
}
stages {
stage('Setup') {
steps {
echo '🔧 Verifying Rust environment...'
sh '''
rustc --version
cargo --version
'''
}
}
stage('Install Tools') {
steps {
echo '📦 Installing test tools...'
sh '''
if ! command -v cargo-nextest &> /dev/null; then
cargo install cargo-nextest
fi
if ! command -v cargo-llvm-cov &> /dev/null; then
cargo install cargo-llvm-cov
fi
if ! command -v cargo-audit &> /dev/null; then
cargo install cargo-audit
fi
rustup component add llvm-tools-preview
'''
}
}
stage('Security Audit') {
steps {
echo '🔒 Running cargo audit...'
sh '''
cargo audit --json > audit-report.json || true
'''
}
}
stage('Check Code') {
steps {
echo '🔍 Running cargo check...'
sh '''
cargo check --message-format json > cargo-check.log || true
'''
}
}
stage('Run Tests with Coverage') {
steps {
echo '🧪 Running tests with coverage...'
sh '''
# Run tests with nextest and generate JUnit
cargo nextest run --profile ci --verbose || true
# Create coverage directory and generate coverage
mkdir -p coverage
cargo llvm-cov nextest --cobertura --output-path coverage/cobertura.xml || true
'''
}
}
stage('Generate Docs') {
steps {
echo '📚 Generating documentation...'
sh '''
cargo doc --no-deps || true
'''
}
}
stage('Publish Results') {
steps {
echo '📋 Publishing test results, coverage, and warnings...'
junit allowEmptyResults: true, testResults: 'target/nextest/ci/junit.xml'
recordCoverage(tools: [[parser: 'COBERTURA', pattern: '**/cobertura.xml']])
recordIssues tool: cargo(pattern: 'cargo-check.log')
echo '📚 Publishing documentation...'
publishHTML(target: [
allowMissing: true,
alwaysLinkToLastBuild: true,
keepAll: true,
reportDir: 'target/doc',
reportFiles: 'crud_pricing/index.html',
reportName: 'Rust Documentation'
])
}
}
}
post {
always {
echo '🧹 Archiving artifacts...'
archiveArtifacts artifacts: 'coverage/**/*.xml, target/nextest/**/*.xml, cargo-check.log, audit-report.json', allowEmptyArchive: true
}
success {
echo '✅ Build completed!'
}
unstable {
echo '⚠️ Build unstable - some tests may have failed'
}
failure {
echo '❌ Build failed!'
}
}
}

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# crud-pricing - AWS Pricing CRUD Operations
**Single source of truth for all AWS pricing operations.**
## What It Does
This Lambda is the centralized CRUD service for AWS pricing data:
-**Get/Put pricing** in DynamoDB cache
-**Fetch from AWS Pricing API** (retail public prices)
-**Fetch from Cost Explorer** (account-specific with auto EDP/PPA!)
-**Access counting** for self-learning refresh
-**Query most-accessed instances** for smart 14-day refresh
## Why This Exists
**Problem:** Multiple lambdas touching pricing table = schema duplication
**Solution:** Single CRUD Lambda pattern
- All pricing operations go through one place
- Consistent schema enforcement
- Single place to evolve pricing logic
- Reusable across all components
## Architecture
```
tool-pricing-query (MCP tool) }
enrichment-server-pricing (Lambda) } → crud-pricing (CRUD) → DynamoDB
tool-pricing-refresh (Scheduler) } ↓
AWS Pricing API
AWS Cost Explorer
```
**Used by:**
- `tool-pricing-query` - MCP tool wrapper for agents
- `enrichment-server-pricing` - Server pricing enrichment
- `tool-pricing-refresh` - 14-day automated refresh
**This Lambda is NOT registered with AgentCore** - it's internal CRUD only.
## Operations
### 1. Get - Retrieve pricing (with optional AWS fetch)
```json
{
"operation": {
"type": "get",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "retail",
"fetchIfMissing": true
}
}
```
**Response:**
```json
{
"pricing": {
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "retail",
"ec2Pricing": {
"vcpus": 4,
"memoryGb": 16.0,
"onDemand": {
"hourly": 0.154,
"monthly": 112.42
},
"reserved": {
"standard": {
"1yr": {
"allUpfront": {
"effectiveMonthly": 72.27,
"totalUpfront": 867.24
}
}
}
}
},
"accessCount": 127,
"lastUpdated": "2025-11-27T00:00:00Z"
},
"cacheStatus": "hit"
}
```
### 2. Put - Store pricing data
```json
{
"operation": {
"type": "put",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "retail",
"pricingData": { /* PricingData object */ }
}
}
```
### 3. ListCommon - Get most-accessed instances
```json
{
"operation": {
"type": "listCommon",
"limit": 50,
"minAccessCount": 5
}
}
```
**Response:**
```json
{
"instances": [
{
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"accessCount": 347,
"lastAccessed": "2025-11-27T10:30:00Z",
"lastUpdated": "2025-11-20T00:00:00Z"
}
],
"count": 50
}
```
**Used by tool-pricing-refresh to discover common instances!**
### 4. IncrementAccess - Track usage
```json
{
"operation": {
"type": "incrementAccess",
"instanceType": "m6g.xlarge",
"region": "us-east-1"
}
}
```
### 5. QueryAwsApi - Direct AWS Pricing API call
```json
{
"operation": {
"type": "queryAwsApi",
"instanceType": "m6g.xlarge",
"region": "us-east-1"
}
}
```
### 6. QueryCostExplorer - Account-specific pricing (with EDP/PPA!)
```json
{
"operation": {
"type": "queryCostExplorer",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"awsAccountId": "123456789012",
"roleArn": "arn:aws:iam::123456789012:role/pathfinder-pricing-access"
}
}
```
**This automatically includes EDP/PPA discounts** by querying actual costs from the customer's account!
## Dual Pricing Model
### Retail Pricing (Public AWS List Prices)
**Cache Key:** `PK=INSTANCE#m6g.xlarge, SK=REGION#us-east-1#RETAIL`
**Source:** AWS Pricing API
**Use when:**
- No customer AWS account access
- Planning/estimates for new customers
- Baseline pricing comparisons
**TTL:** 30 days
### Account-Specific Pricing (Includes EDP/PPA Automatically!)
**Cache Key:** `PK=INSTANCE#m6g.xlarge, SK=REGION#us-east-1#ACCOUNT#123456789012`
**Source:** AWS Cost Explorer (from customer account)
**Use when:**
- Customer grants IAM role access
- Need actual cost projections
- Want automatic EDP/PPA discount detection
**TTL:** 7 days (more current)
**How EDP/PPA Auto-Detection Works:**
1. Assume IAM role into customer's AWS account (requires trust policy)
2. Query Cost Explorer for past 30 days of actual usage
3. Calculate average hourly rate from real costs
4. This rate automatically includes any EDP/PPA discounts!
5. No manual discount configuration needed
## DynamoDB Schema
### Pricing Items
```typescript
{
// Keys
"PK": "INSTANCE#m6g.xlarge",
"SK": "REGION#us-east-1#RETAIL", // or "REGION#us-east-1#ACCOUNT#123456789012"
// GSI for access queries
"GSI1PK": "PRICING",
"accessCount": 127, // Incremented on each query
// Pricing data (stored as JSON)
"pricingData": "{...}", // Full PricingData struct serialized
// Metadata (for querying)
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "retail",
"lastUpdated": "2025-11-27T00:00:00Z",
"lastAccessed": "2025-11-27T10:30:00Z",
"firstCached": "2025-11-01T08:00:00Z",
// TTL
"expiresAt": 1740614400 // 30 days for retail, 7 days for account-specific
}
```
### GSI: AccessCountIndex
**Purpose:** Query most-accessed instances for refresh
**Keys:** `GSI1PK=PRICING, accessCount (range key, numeric)`
**Usage:**
```rust
// Get top 50 most-accessed instances
query()
.index_name("AccessCountIndex")
.key_condition_expression("GSI1PK = :pk")
.scan_index_forward(false) // Descending
.limit(50)
```
## Self-Learning Refresh Strategy
**How it works:**
1. **Enrichment drives caching**
- Server created → enrichment queries pricing
- Cache miss → fetch from AWS API → cache for 30 days
- Cache hit → fast response
2. **Access counting tracks popularity**
- Every query increments `accessCount`
- Popular instances accumulate high counts
- Unpopular instances stay at low counts
3. **14-day refresh uses actual patterns**
- Query top 50 by `accessCount`
- Refresh only what's actually being used
- Adapts automatically as usage changes
**Result:** Cache reflects real usage patterns, no hardcoded lists!
## IAM Requirements
### This Lambda Needs:
**DynamoDB:**
```json
{
"Effect": "Allow",
"Action": [
"dynamodb:GetItem",
"dynamodb:PutItem",
"dynamodb:UpdateItem",
"dynamodb:Query"
],
"Resource": [
"arn:aws:dynamodb:REGION:ACCOUNT:table/pathfinder-ENV-pricing",
"arn:aws:dynamodb:REGION:ACCOUNT:table/pathfinder-ENV-pricing/index/AccessCountIndex"
]
}
```
**AWS Pricing API:**
```json
{
"Effect": "Allow",
"Action": [
"pricing:GetProducts",
"pricing:DescribeServices"
],
"Resource": "*"
}
```
**STS (for assuming roles):**
```json
{
"Effect": "Allow",
"Action": "sts:AssumeRole",
"Resource": "arn:aws:iam::*:role/pathfinder-pricing-access"
}
```
### Customer Account Needs:
**IAM Role:** `pathfinder-pricing-access`
**Permissions:**
```json
{
"Effect": "Allow",
"Action": [
"ce:GetCostAndUsage",
"ce:GetCostForecast"
],
"Resource": "*"
}
```
**Trust Policy:**
```json
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::OUR-ACCOUNT:role/crud-pricing-lambda-role"
},
"Action": "sts:AssumeRole",
"Condition": {
"StringEquals": {
"sts:ExternalId": "pathfinder-unique-external-id"
}
}
}]
}
```
## Development
### Build
```bash
./build.sh
# Or manually:
cargo lambda build --release --arm64 --output-format zip
```
### Test
```bash
# Run unit tests
cargo test
# Test locally
cargo run -- '{
"operation": {
"type": "get",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "retail",
"fetchIfMissing": true
}
}'
```
### Deploy
```bash
cd terraform
terraform init
terraform apply \
-var="environment=dev" \
-var="aws_region=us-east-1"
```
## Testing Deployed Lambda
### Get Retail Pricing (Cache Miss → Fetch from API)
```bash
aws lambda invoke \
--function-name airun-pathfinder-crud-pricing-dev \
--payload '{
"operation": {
"type": "get",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "retail",
"fetchIfMissing": true
}
}' \
output.json
cat output.json | jq .
```
### Get Account-Specific Pricing (With EDP/PPA)
```bash
aws lambda invoke \
--function-name airun-pathfinder-crud-pricing-dev \
--payload '{
"operation": {
"type": "queryCostExplorer",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"awsAccountId": "123456789012",
"roleArn": "arn:aws:iam::123456789012:role/pathfinder-pricing-access"
}
}' \
output.json
cat output.json | jq '.body.pricing.ec2Pricing.onDemand'
# Shows actual pricing with EDP/PPA discount included!
```
### List Most-Accessed Instances
```bash
aws lambda invoke \
--function-name airun-pathfinder-crud-pricing-dev \
--payload '{
"operation": {
"type": "listCommon",
"limit": 50,
"minAccessCount": 5
}
}' \
output.json
cat output.json | jq '.body.instances | .[0:10]'
# Shows top 10 most-accessed instances
```
## Environment Variables
```hcl
environment_variables = {
RUST_LOG = "info"
TABLE_NAME = "pathfinder-dev-pricing"
}
```
## Integration Examples
### From tool-pricing-query
```rust
// tool-pricing-query calls crud-pricing instead of direct DynamoDB
let payload = json!({
"operation": {
"type": "get",
"instanceType": instance_type,
"region": region,
"pricingType": "retail",
"fetchIfMissing": true
}
});
let result = lambda_client
.invoke()
.function_name("airun-pathfinder-crud-pricing-dev")
.payload(Blob::new(serde_json::to_vec(&payload)?))
.send()
.await?;
```
### From enrichment-server-pricing
```rust
// Enrichment lambda calls crud-pricing to get pricing
let payload = json!({
"operation": {
"type": "get",
"instanceType": "m6g.xlarge",
"region": "us-east-1",
"pricingType": "accountSpecific",
"awsAccountId": project.aws_account_id,
"fetchIfMissing": true
}
});
let pricing = invoke_crud_pricing(payload).await?;
```
### From tool-pricing-refresh
```rust
// Refresh lambda discovers common instances
// Step 1: Get most-accessed
let common = invoke_crud_pricing(json!({
"operation": {
"type": "listCommon",
"limit": 50,
"minAccessCount": 5
}
})).await?;
// Step 2: Refresh each one
for instance in common.instances {
invoke_crud_pricing(json!({
"operation": {
"type": "get",
"instanceType": instance.instanceType,
"region": instance.region,
"pricingType": "retail",
"fetchIfMissing": true // Forces refresh
}
})).await?;
}
```
## Cache Strategy
### Retail Pricing
- **TTL:** 30 days
- **Refresh:** 14-day automatic (top 50 instances)
- **Coverage:** All instance types (on-demand fetch)
### Account-Specific Pricing
- **TTL:** 7 days (shorter for more current costs)
- **Refresh:** Not automatic (requires account access)
- **Coverage:** Only instances with usage in customer account
### Access Counting
- Incremented on every Get operation
- Powers self-learning refresh
- GSI allows efficient queries
## Pricing API Details
### AWS Pricing API (Retail)
**What we get:**
- OnDemand hourly/monthly rates
- Reserved pricing (Standard/Convertible, 1yr/3yr, all payment options)
- Instance specs (vCPUs, memory, architecture)
**What we DON'T get:**
- Spot pricing (need EC2 Spot Price API)
- Customer-specific discounts (need Cost Explorer)
**Rate Limits:**
- 1,000,000 requests/month free
- Then $0.005 per 1,000 requests
- Our usage: ~70 requests/month (essentially free)
### AWS Cost Explorer (Account-Specific)
**What we get:**
- Actual hourly costs from customer's account
- Automatically includes EDP/PPA discounts!
- Real usage-based pricing
**What we DON'T get:**
- Instance specs (we fetch separately from Pricing API)
- Reserved/Spot breakdowns (just blended costs)
**Requirements:**
- Must assume role into customer account
- Customer must have Cost Explorer enabled
- Needs 30 days of usage history
## Error Handling
| Error | Cause | Mitigation |
|-------|-------|------------|
| `Pricing not found and fetch_if_missing=false` | Cache miss, no fetch | Set `fetchIfMissing=true` |
| `AWS Pricing API call failed` | API throttling, network issue | Retry with exponential backoff |
| `Failed to assume role` | IAM permissions, invalid role ARN | Check trust policy and role exists |
| `No usage data found` | No historical usage in account | Fall back to retail pricing |
| `No pricing found for instance` | Invalid instance type | Validate instance type exists |
## Performance
**Expected latencies:**
- Cache hit: 10-20ms (DynamoDB query)
- Cache miss (Pricing API): 2-3 seconds (API call + parse)
- Cost Explorer: 3-5 seconds (assume role + API call)
**Access count update:** Async (doesn't add latency)
## Code Structure
```
src/
├── main.rs # Lambda handler and operation router
├── models.rs # Data types and schemas
├── db.rs # DynamoDB CRUD operations
├── aws_pricing.rs # AWS Pricing API client
└── cost_explorer.rs # Cost Explorer client (EDP/PPA detection)
```
**Total:** ~1,100 lines of well-structured Rust
## Testing Strategy
**Unit Tests:**
- [ ] Test all DynamoDB operations
- [ ] Test pricing API response parsing
- [ ] Test Cost Explorer response parsing
- [ ] Test key generation (retail vs account-specific)
- [ ] Test expiration logic
- [ ] Test access counting
**Integration Tests:**
- [ ] Test full Get operation (cache miss → fetch → cache)
- [ ] Test access count increment
- [ ] Test ListCommon with various filters
- [ ] Test account-specific pricing flow
## Monitoring
**CloudWatch Metrics to Add:**
```rust
// Custom metrics
putMetric("CrudPricing", {
"CacheHitRate": hits / total * 100,
"AvgResponseTime": avg_latency_ms,
"ApiCallCount": api_calls,
"AccessCountUpdates": count_updates,
});
```
**Alarms:**
- High cache miss rate (>20%)
- Slow response time (>5s)
- API failures (>5 in 5 minutes)
## Related Components
- `tool-pricing-query` - MCP tool that wraps this CRUD service
- `enrichment-server-pricing` - Uses this to get pricing during enrichment
- `tool-pricing-refresh` - Uses ListCommon to discover instances to refresh
- `pathfinder-dev-pricing` - DynamoDB table managed by this service
## Next Steps
After deployment:
1. Update `tool-pricing-query` to use crud-pricing (remove direct DynamoDB access)
2. Create `enrichment-server-pricing` that uses crud-pricing
3. Create `tool-pricing-refresh` that uses ListCommon operation
4. Update DynamoDB table with AccessCountIndex GSI
See `PRICING-ENHANCEMENTS-PLAN.md` for complete roadmap.

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#!/bin/bash
set -e
echo "🔨 Building crud-pricing for ARM64 (Graviton)..."
# Check if cargo-lambda is installed
if ! command -v cargo-lambda &> /dev/null; then
echo "❌ 'cargo-lambda' is not installed. Installing..."
cargo install cargo-lambda
fi
# Check if cargo-audit is installed
if ! command -v cargo-audit &> /dev/null; then
echo "❌ 'cargo-audit' is not installed. Installing..."
cargo install cargo-audit
fi
# Run security audit before building
echo "🔒 Running security audit..."
cargo audit
# Build for Lambda (ARM64)
echo "📦 Compiling with cargo lambda..."
cargo lambda build --release --arm64 --output-format zip
echo "✅ Build complete: target/lambda/bootstrap/bootstrap.zip"
echo ""
echo "📊 Package size:"
ls -lh target/lambda/bootstrap/bootstrap.zip
echo ""
echo "Next steps:"
echo " cd terraform"
echo " terraform init"
echo " terraform apply"

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use aws_sdk_pricing::types::Filter;
use aws_sdk_pricing::Client as PricingClient;
use chrono::Utc;
use serde_json::Value;
use std::collections::HashMap;
use tracing::{error, info, warn};
use crate::models::{
Ec2Pricing, OnDemandPricing, PricingData, PricingType, ReservedOption, ReservedPricing,
ReservedTerm,
};
/// Fetch EC2 instance pricing from AWS Pricing API
pub async fn fetch_ec2_pricing(
client: &PricingClient,
instance_type: &str,
region: &str,
) -> Result<PricingData, String> {
info!("Fetching pricing from AWS Pricing API for {} in {}", instance_type, region);
let location_name = region_to_location_name(region);
let response = client
.get_products()
.service_code("AmazonEC2")
.filters(
Filter::builder()
.field("instanceType")
.value(instance_type)
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.filters(
Filter::builder()
.field("location")
.value(location_name)
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.filters(
Filter::builder()
.field("operatingSystem")
.value("Linux")
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.filters(
Filter::builder()
.field("tenancy")
.value("Shared")
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.filters(
Filter::builder()
.field("capacitystatus")
.value("Used")
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.filters(
Filter::builder()
.field("preInstalledSw")
.value("NA")
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.send()
.await
.map_err(|e| format!("AWS Pricing API call failed: {}", e))?;
let price_list = response.price_list();
if price_list.is_empty() {
return Err(format!("No pricing found for {} in {}", instance_type, region));
}
info!("Parsing {} pricing items", price_list.len());
// Parse the first (and usually only) price item
let pricing = parse_pricing_response(price_list[0].as_str(), instance_type, region)?;
Ok(pricing)
}
/// Parse AWS Pricing API response
fn parse_pricing_response(
price_json: &str,
instance_type: &str,
region: &str,
) -> Result<PricingData, String> {
let item: Value = serde_json::from_str(price_json)
.map_err(|e| format!("Failed to parse pricing JSON: {}", e))?;
// Extract instance attributes
let attributes = item["product"]["attributes"]
.as_object()
.ok_or("Missing product attributes")?;
let vcpus: i32 = attributes
.get("vcpu")
.and_then(|v| v.as_str())
.and_then(|s| s.parse().ok())
.unwrap_or(0);
let memory_str = attributes
.get("memory")
.and_then(|v| v.as_str())
.unwrap_or("0 GiB");
let memory_gb: f64 = memory_str
.replace(" GiB", "")
.replace(",", "")
.parse()
.unwrap_or(0.0);
let instance_family = attributes
.get("instanceFamily")
.and_then(|v| v.as_str())
.unwrap_or("")
.to_string();
let processor_architecture = attributes
.get("processorArchitecture")
.and_then(|v| v.as_str())
.unwrap_or("x86_64");
let architectures = vec![processor_architecture.to_string()];
// Parse OnDemand pricing
let on_demand = parse_on_demand_pricing(&item)?;
// Parse Reserved pricing (optional)
let reserved = parse_reserved_pricing(&item).ok();
// Spot pricing not available in Pricing API (would need EC2 Spot Price API)
let spot = None;
let ec2_pricing = Ec2Pricing {
instance_family,
vcpus,
memory_gb,
architectures,
on_demand,
reserved,
spot,
};
let pricing_data = PricingData {
instance_type: instance_type.to_string(),
region: region.to_string(),
pricing_type: PricingType::Retail,
aws_account_id: None,
ec2_pricing,
source: "aws-pricing-api".to_string(),
last_updated: Utc::now().to_rfc3339(),
access_count: 0,
last_accessed: None,
first_cached: Some(Utc::now().to_rfc3339()),
};
Ok(pricing_data)
}
/// Parse OnDemand pricing from terms
fn parse_on_demand_pricing(item: &Value) -> Result<OnDemandPricing, String> {
let on_demand_terms = item["terms"]["OnDemand"]
.as_object()
.ok_or("Missing OnDemand terms")?;
// Get first (and usually only) term
let term = on_demand_terms
.values()
.next()
.ok_or("No OnDemand term found")?;
let price_dimensions = term["priceDimensions"]
.as_object()
.ok_or("Missing priceDimensions")?;
let price_dim = price_dimensions
.values()
.next()
.ok_or("No price dimension found")?;
let hourly_str = price_dim["pricePerUnit"]["USD"]
.as_str()
.ok_or("Missing USD price")?;
let hourly: f64 = hourly_str
.parse()
.map_err(|e| format!("Failed to parse hourly price: {}", e))?;
let monthly = hourly * 730.0; // Hours per month
Ok(OnDemandPricing { hourly, monthly })
}
/// Parse Reserved pricing from terms
fn parse_reserved_pricing(item: &Value) -> Result<ReservedPricing, String> {
let reserved_terms = item["terms"]["Reserved"]
.as_object()
.ok_or("Missing Reserved terms")?;
let mut standard: HashMap<String, ReservedTerm> = HashMap::new();
let mut convertible: HashMap<String, ReservedTerm> = HashMap::new();
for (_, term) in reserved_terms {
let term_attributes = term["termAttributes"]
.as_object()
.ok_or("Missing termAttributes")?;
let lease_contract_length = term_attributes
.get("LeaseContractLength")
.and_then(|v| v.as_str())
.unwrap_or("");
let purchase_option = term_attributes
.get("PurchaseOption")
.and_then(|v| v.as_str())
.unwrap_or("");
let offering_class = term_attributes
.get("OfferingClass")
.and_then(|v| v.as_str())
.unwrap_or("standard");
// Parse the pricing
if let Ok(pricing) = parse_reserved_option(term) {
let term_key = if lease_contract_length.contains("1yr") || lease_contract_length.contains("1 year") {
"1yr"
} else if lease_contract_length.contains("3yr") || lease_contract_length.contains("3 year") {
"3yr"
} else {
continue; // Skip unknown terms
};
let option_type = if purchase_option.contains("All Upfront") {
"all_upfront"
} else if purchase_option.contains("Partial Upfront") {
"partial_upfront"
} else if purchase_option.contains("No Upfront") {
"no_upfront"
} else {
continue; // Skip unknown options
};
// Add to appropriate collection
let collection = if offering_class.contains("convertible") {
&mut convertible
} else {
&mut standard
};
let term_entry = collection
.entry(term_key.to_string())
.or_insert_with(|| ReservedTerm {
all_upfront: ReservedOption::default(),
partial_upfront: ReservedOption::default(),
no_upfront: ReservedOption::default(),
});
match option_type {
"all_upfront" => term_entry.all_upfront = pricing,
"partial_upfront" => term_entry.partial_upfront = pricing,
"no_upfront" => term_entry.no_upfront = pricing,
_ => {}
}
}
}
if standard.is_empty() && convertible.is_empty() {
return Err("No valid reserved pricing found".to_string());
}
Ok(ReservedPricing {
standard,
convertible,
})
}
/// Parse a single reserved pricing option
fn parse_reserved_option(term: &Value) -> Result<ReservedOption, String> {
let price_dimensions = term["priceDimensions"]
.as_object()
.ok_or("Missing priceDimensions")?;
let mut total_upfront = 0.0;
let mut hourly_rate = 0.0;
for (_, price_dim) in price_dimensions {
let unit = price_dim["unit"]
.as_str()
.unwrap_or("");
let price_str = price_dim["pricePerUnit"]["USD"]
.as_str()
.unwrap_or("0");
let price: f64 = price_str.parse().unwrap_or(0.0);
if unit == "Quantity" {
total_upfront = price;
} else if unit == "Hrs" {
hourly_rate = price;
}
}
let effective_hourly = if total_upfront > 0.0 {
// Calculate effective hourly from upfront
let term_attributes = term["termAttributes"]
.as_object()
.ok_or("Missing termAttributes")?;
let lease_length = term_attributes
.get("LeaseContractLength")
.and_then(|v| v.as_str())
.unwrap_or("");
let hours = if lease_length.contains("1yr") || lease_length.contains("1 year") {
8760.0 // Hours in 1 year
} else if lease_length.contains("3yr") || lease_length.contains("3 year") {
26280.0 // Hours in 3 years
} else {
8760.0 // Default to 1 year
};
(total_upfront / hours) + hourly_rate
} else {
hourly_rate
};
let effective_monthly = effective_hourly * 730.0;
let monthly_payment = hourly_rate * 730.0;
Ok(ReservedOption {
effective_hourly,
effective_monthly,
total_upfront,
monthly_payment,
})
}
impl Default for ReservedOption {
fn default() -> Self {
Self {
effective_hourly: 0.0,
effective_monthly: 0.0,
total_upfront: 0.0,
monthly_payment: 0.0,
}
}
}
/// Convert AWS region code to location name used by Pricing API
pub fn region_to_location_name(region: &str) -> &str {
match region {
"us-east-1" => "US East (N. Virginia)",
"us-east-2" => "US East (Ohio)",
"us-west-1" => "US West (N. California)",
"us-west-2" => "US West (Oregon)",
"eu-west-1" => "EU (Ireland)",
"eu-west-2" => "EU (London)",
"eu-west-3" => "EU (Paris)",
"eu-central-1" => "EU (Frankfurt)",
"ap-southeast-1" => "Asia Pacific (Singapore)",
"ap-southeast-2" => "Asia Pacific (Sydney)",
"ap-northeast-1" => "Asia Pacific (Tokyo)",
"ap-northeast-2" => "Asia Pacific (Seoul)",
"ap-south-1" => "Asia Pacific (Mumbai)",
"sa-east-1" => "South America (Sao Paulo)",
"ca-central-1" => "Canada (Central)",
_ => {
warn!("Unknown region: {}, using as-is", region);
region
}
}
}

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use aws_config::Region;
use aws_sdk_costexplorer::types::{
DateInterval, Dimension, DimensionValues, Expression, Granularity, Metric,
};
use aws_sdk_costexplorer::Client as CostExplorerClient;
use aws_sdk_sts::Client as StsClient;
use chrono::{Duration, Utc};
use tracing::{error, info, warn};
use crate::models::{Ec2Pricing, OnDemandPricing, PricingData, PricingType};
/// Fetch account-specific pricing from Cost Explorer
/// This automatically includes EDP/PPA discounts!
pub async fn fetch_account_specific_pricing(
sts_client: &StsClient,
instance_type: &str,
region: &str,
aws_account_id: &str,
role_arn: &str,
) -> Result<PricingData, String> {
info!(
"Fetching account-specific pricing for {} in {} (account: {})",
instance_type, region, aws_account_id
);
// 1. Assume role into customer account
let credentials = sts_client
.assume_role()
.role_arn(role_arn)
.role_session_name("pathfinder-pricing-query")
.duration_seconds(900) // 15 minutes
.send()
.await
.map_err(|e| format!("Failed to assume role: {}", e))?;
let creds = credentials
.credentials()
.ok_or("No credentials returned from assume role")?;
info!("✅ Successfully assumed role into account {}", aws_account_id);
// 2. Create Cost Explorer client with assumed credentials
let config = aws_config::from_env()
.credentials_provider(aws_sdk_sts::config::Credentials::new(
creds.access_key_id(),
creds.secret_access_key(),
Some(creds.session_token().to_string()),
None,
"assumed-role",
))
.region(Region::new(region.to_string()))
.load()
.await;
let ce_client = CostExplorerClient::new(&config);
// 3. Query Cost Explorer for historical usage and costs
let end_date = Utc::now();
let start_date = end_date - Duration::days(30);
info!(
"Querying Cost Explorer from {} to {}",
start_date.format("%Y-%m-%d"),
end_date.format("%Y-%m-%d")
);
let response = ce_client
.get_cost_and_usage()
.time_period(
DateInterval::builder()
.start(start_date.format("%Y-%m-%d").to_string())
.end(end_date.format("%Y-%m-%d").to_string())
.build()
.map_err(|e| format!("Failed to build date interval: {}", e))?,
)
.granularity(Granularity::Daily)
.metrics(Metric::UnblendedCost)
.metrics(Metric::UsageQuantity)
.filter(
Expression::builder()
.dimensions(
DimensionValues::builder()
.key(Dimension::InstanceType)
.values(instance_type)
.build()
.map_err(|e| format!("Failed to build dimension: {}", e))?,
)
.build(),
)
.send()
.await
.map_err(|e| format!("Cost Explorer API call failed: {}", e))?;
// 4. Calculate average hourly cost from actual usage
let results = response.results_by_time();
if results.is_empty() {
return Err(format!(
"No usage data found for {} in account {}. Instance may not be in use.",
instance_type, aws_account_id
));
}
let (total_cost, total_hours) = results.iter().fold((0.0, 0.0), |(cost_acc, hours_acc), result| {
let cost: f64 = result
.total()
.and_then(|t| t.get("UnblendedCost"))
.and_then(|m| m.amount())
.and_then(|a| a.parse().ok())
.unwrap_or(0.0);
let usage_quantity: f64 = result
.total()
.and_then(|t| t.get("UsageQuantity"))
.and_then(|m| m.amount())
.and_then(|a| a.parse().ok())
.unwrap_or(0.0);
(cost_acc + cost, hours_acc + usage_quantity)
});
if total_hours == 0.0 {
return Err(format!(
"No usage hours found for {} (zero usage in past 30 days)",
instance_type
));
}
let avg_hourly_cost = total_cost / total_hours;
let monthly_cost = avg_hourly_cost * 730.0;
info!(
"✅ Calculated account-specific pricing: ${:.4}/hr, ${:.2}/mo (from {} hours usage)",
avg_hourly_cost, monthly_cost, total_hours
);
// 5. Build pricing data
// Note: We don't have vcpu/memory from Cost Explorer, so we'd need to get that from Pricing API
// For now, we'll query Pricing API for instance specs and use Cost Explorer for pricing
let instance_specs = fetch_instance_specs(instance_type, region).await?;
let ec2_pricing = Ec2Pricing {
instance_family: instance_specs.instance_family,
vcpus: instance_specs.vcpus,
memory_gb: instance_specs.memory_gb,
architectures: instance_specs.architectures,
on_demand: OnDemandPricing {
hourly: avg_hourly_cost,
monthly: monthly_cost,
},
reserved: None, // Reserved pricing from Cost Explorer is complex, skip for now
spot: None, // Spot pricing not in Cost Explorer
};
let pricing_data = PricingData {
instance_type: instance_type.to_string(),
region: region.to_string(),
pricing_type: PricingType::AccountSpecific,
aws_account_id: Some(aws_account_id.to_string()),
ec2_pricing,
source: "cost-explorer".to_string(),
last_updated: Utc::now().to_rfc3339(),
access_count: 0,
last_accessed: None,
first_cached: Some(Utc::now().to_rfc3339()),
};
Ok(pricing_data)
}
/// Simple struct for instance specs
struct InstanceSpecs {
instance_family: String,
vcpus: i32,
memory_gb: f64,
architectures: Vec<String>,
}
/// Fetch instance specifications from Pricing API
/// We need this because Cost Explorer only gives us costs, not specs
async fn fetch_instance_specs(
instance_type: &str,
region: &str,
) -> Result<InstanceSpecs, String> {
info!("Fetching instance specs for {}", instance_type);
// Create new pricing client from default config
let config = aws_config::load_defaults(aws_config::BehaviorVersion::latest()).await;
let pricing_client = aws_sdk_pricing::Client::new(&config);
let location_name = crate::aws_pricing::region_to_location_name(region);
let response = pricing_client
.get_products()
.service_code("AmazonEC2")
.filters(
aws_sdk_pricing::types::Filter::builder()
.field("instanceType")
.value(instance_type)
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.filters(
aws_sdk_pricing::types::Filter::builder()
.field("location")
.value(location_name)
.r#type("TERM_MATCH")
.build()
.map_err(|e| format!("Failed to build filter: {}", e))?,
)
.send()
.await
.map_err(|e| format!("Failed to fetch instance specs: {}", e))?;
let price_list = response.price_list();
if price_list.is_empty() {
return Err(format!("No instance specs found for {}", instance_type));
}
// Parse just the attributes we need
let item: serde_json::Value = serde_json::from_str(price_list[0].as_str())
.map_err(|e| format!("Failed to parse pricing JSON: {}", e))?;
let attributes = item["product"]["attributes"]
.as_object()
.ok_or("Missing product attributes")?;
let vcpus: i32 = attributes
.get("vcpu")
.and_then(|v| v.as_str())
.and_then(|s| s.parse().ok())
.unwrap_or(0);
let memory_str = attributes
.get("memory")
.and_then(|v| v.as_str())
.unwrap_or("0 GiB");
let memory_gb: f64 = memory_str
.replace(" GiB", "")
.replace(",", "")
.parse()
.unwrap_or(0.0);
let instance_family = attributes
.get("instanceFamily")
.and_then(|v| v.as_str())
.unwrap_or("")
.to_string();
let processor_architecture = attributes
.get("processorArchitecture")
.and_then(|v| v.as_str())
.unwrap_or("x86_64");
let architectures = vec![processor_architecture.to_string()];
Ok(InstanceSpecs {
instance_family,
vcpus,
memory_gb,
architectures,
})
}

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use aws_sdk_dynamodb::types::AttributeValue;
use aws_sdk_dynamodb::Client as DynamoDbClient;
use chrono::Utc;
use std::collections::HashMap;
use tracing::{error, info};
use crate::models::{CommonInstance, PricingData, PricingType};
const TTL_DAYS_RETAIL: i64 = 30;
const TTL_DAYS_ACCOUNT_SPECIFIC: i64 = 7;
/// Get pricing from DynamoDB cache
pub async fn get_pricing(
client: &DynamoDbClient,
table_name: &str,
instance_type: &str,
region: &str,
pricing_type: &PricingType,
aws_account_id: Option<&str>,
) -> Result<Option<PricingData>, String> {
let (pk, sk) = build_keys(instance_type, region, pricing_type, aws_account_id);
info!("Querying pricing: PK={}, SK={}", pk, sk);
let result = client
.get_item()
.table_name(table_name)
.key("PK", AttributeValue::S(pk))
.key("SK", AttributeValue::S(sk))
.send()
.await
.map_err(|e| format!("Failed to query DynamoDB: {}", e))?;
match result.item() {
Some(item) => {
let pricing = parse_pricing_item(item)?;
// Check if expired
if is_expired(&pricing) {
info!("Pricing data is expired");
Ok(None)
} else {
info!("Cache hit for {} in {}", instance_type, region);
Ok(Some(pricing))
}
}
None => {
info!("Cache miss for {} in {}", instance_type, region);
Ok(None)
}
}
}
/// Store pricing in DynamoDB cache
pub async fn put_pricing(
client: &DynamoDbClient,
table_name: &str,
pricing_data: &PricingData,
) -> Result<(), String> {
let (pk, sk) = build_keys(
&pricing_data.instance_type,
&pricing_data.region,
&pricing_data.pricing_type,
pricing_data.aws_account_id.as_deref(),
);
// Calculate expiration timestamp
let ttl_days = match pricing_data.pricing_type {
PricingType::Retail => TTL_DAYS_RETAIL,
PricingType::AccountSpecific => TTL_DAYS_ACCOUNT_SPECIFIC,
};
let expires_at = Utc::now().timestamp() + (ttl_days * 24 * 60 * 60);
info!("Storing pricing: PK={}, SK={}, TTL={} days", pk, sk, ttl_days);
let mut item = HashMap::new();
item.insert("PK".to_string(), AttributeValue::S(pk));
item.insert("SK".to_string(), AttributeValue::S(sk));
item.insert("GSI1PK".to_string(), AttributeValue::S("PRICING".to_string()));
// Store pricing data as JSON
let pricing_json = serde_json::to_string(pricing_data)
.map_err(|e| format!("Failed to serialize pricing data: {}", e))?;
item.insert("pricingData".to_string(), AttributeValue::S(pricing_json));
// Metadata fields
item.insert("instanceType".to_string(), AttributeValue::S(pricing_data.instance_type.clone()));
item.insert("region".to_string(), AttributeValue::S(pricing_data.region.clone()));
item.insert("pricingType".to_string(), AttributeValue::S(format!("{:?}", pricing_data.pricing_type)));
item.insert("lastUpdated".to_string(), AttributeValue::S(pricing_data.last_updated.clone()));
item.insert("expiresAt".to_string(), AttributeValue::N(expires_at.to_string()));
// Access tracking
item.insert("accessCount".to_string(), AttributeValue::N(pricing_data.access_count.to_string()));
if let Some(last_accessed) = &pricing_data.last_accessed {
item.insert("lastAccessed".to_string(), AttributeValue::S(last_accessed.clone()));
}
if let Some(first_cached) = &pricing_data.first_cached {
item.insert("firstCached".to_string(), AttributeValue::S(first_cached.clone()));
}
client
.put_item()
.table_name(table_name)
.set_item(Some(item))
.send()
.await
.map_err(|e| format!("Failed to put pricing: {}", e))?;
info!("✅ Pricing cached successfully");
Ok(())
}
/// Query most accessed instances (for refresh)
pub async fn query_most_accessed(
client: &DynamoDbClient,
table_name: &str,
limit: usize,
min_access_count: Option<u32>,
) -> Result<Vec<CommonInstance>, String> {
info!("Querying most accessed instances (limit={}, min_count={:?})", limit, min_access_count);
let mut query = client
.query()
.table_name(table_name)
.index_name("AccessCountIndex")
.key_condition_expression("GSI1PK = :pk")
.expression_attribute_values(":pk", AttributeValue::S("PRICING".to_string()))
.scan_index_forward(false) // Descending order (highest access count first)
.limit(limit as i32);
// Optional: filter by minimum access count
if let Some(min_count) = min_access_count {
query = query
.filter_expression("accessCount >= :min")
.expression_attribute_values(":min", AttributeValue::N(min_count.to_string()));
}
let result = query
.send()
.await
.map_err(|e| format!("Failed to query most accessed: {}", e))?;
let items = result.items().iter()
.filter_map(|item| parse_common_instance(item).ok())
.collect();
Ok(items)
}
/// Increment access count for an instance
pub async fn increment_access_count(
client: &DynamoDbClient,
table_name: &str,
instance_type: &str,
region: &str,
pricing_type: &PricingType,
aws_account_id: Option<&str>,
) -> Result<(), String> {
let (pk, sk) = build_keys(instance_type, region, pricing_type, aws_account_id);
let now = Utc::now().to_rfc3339();
// Increment access count and update last accessed
client
.update_item()
.table_name(table_name)
.key("PK", AttributeValue::S(pk))
.key("SK", AttributeValue::S(sk))
.update_expression("SET accessCount = if_not_exists(accessCount, :zero) + :inc, lastAccessed = :now")
.expression_attribute_values(":inc", AttributeValue::N("1".to_string()))
.expression_attribute_values(":zero", AttributeValue::N("0".to_string()))
.expression_attribute_values(":now", AttributeValue::S(now))
.send()
.await
.map_err(|e| format!("Failed to increment access count: {}", e))?;
Ok(())
}
/// Build DynamoDB keys
fn build_keys(
instance_type: &str,
region: &str,
pricing_type: &PricingType,
aws_account_id: Option<&str>,
) -> (String, String) {
let pk = format!("INSTANCE#{}", instance_type);
let sk = match (pricing_type, aws_account_id) {
(PricingType::Retail, _) => {
format!("REGION#{}#RETAIL", region)
}
(PricingType::AccountSpecific, Some(account_id)) => {
format!("REGION#{}#ACCOUNT#{}", region, account_id)
}
(PricingType::AccountSpecific, None) => {
// Fallback to retail if account ID missing
format!("REGION#{}#RETAIL", region)
}
};
(pk, sk)
}
/// Parse pricing data from DynamoDB item
fn parse_pricing_item(item: &HashMap<String, AttributeValue>) -> Result<PricingData, String> {
let pricing_json = item
.get("pricingData")
.and_then(|v| v.as_s().ok())
.ok_or("Missing pricingData field")?;
let pricing: PricingData = serde_json::from_str(pricing_json)
.map_err(|e| format!("Failed to parse pricing data: {}", e))?;
Ok(pricing)
}
/// Parse common instance from DynamoDB item
fn parse_common_instance(item: &HashMap<String, AttributeValue>) -> Result<CommonInstance, String> {
let instance_type = item
.get("instanceType")
.and_then(|v| v.as_s().ok())
.ok_or("Missing instanceType")?
.to_string();
let region = item
.get("region")
.and_then(|v| v.as_s().ok())
.ok_or("Missing region")?
.to_string();
let access_count = item
.get("accessCount")
.and_then(|v| v.as_n().ok())
.and_then(|n| n.parse().ok())
.unwrap_or(0);
let last_accessed = item
.get("lastAccessed")
.and_then(|v| v.as_s().ok())
.map(|s| s.to_string());
let last_updated = item
.get("lastUpdated")
.and_then(|v| v.as_s().ok())
.ok_or("Missing lastUpdated")?
.to_string();
Ok(CommonInstance {
instance_type,
region,
access_count,
last_accessed,
last_updated,
})
}
/// Check if pricing data is expired
fn is_expired(pricing: &PricingData) -> bool {
let ttl_days = match pricing.pricing_type {
PricingType::Retail => TTL_DAYS_RETAIL,
PricingType::AccountSpecific => TTL_DAYS_ACCOUNT_SPECIFIC,
};
let expires_at = chrono::DateTime::parse_from_rfc3339(&pricing.last_updated)
.map(|dt| dt.timestamp() + (ttl_days * 24 * 60 * 60))
.unwrap_or(0);
let now = Utc::now().timestamp();
now > expires_at
}

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mod aws_pricing;
mod cost_explorer;
mod db;
mod models;
use aws_config::BehaviorVersion;
use aws_sdk_dynamodb::Client as DynamoDbClient;
use aws_sdk_pricing::Client as PricingClient;
use aws_sdk_sts::Client as StsClient;
use lambda_runtime::{service_fn, Error, LambdaEvent};
use serde_json::Value;
use std::env;
use tracing::{error, info};
use crate::models::{PricingOperation, PricingRequest, PricingResponse, PricingType};
#[tokio::main]
async fn main() -> Result<(), Error> {
tracing_subscriber::fmt()
.with_max_level(tracing::Level::INFO)
.with_target(false)
.without_time()
.json()
.init();
lambda_runtime::run(service_fn(function_handler)).await
}
async fn function_handler(event: LambdaEvent<Value>) -> Result<Value, Error> {
let (payload, _context) = event.into_parts();
info!("Received pricing request: {:?}", payload);
// Parse request
let request: PricingRequest = match serde_json::from_value(payload) {
Ok(req) => req,
Err(e) => {
error!("Invalid request: {}", e);
let response = PricingResponse::error(400, &format!("Invalid request: {}", e));
return Ok(serde_json::to_value(response)?);
}
};
// Load AWS config and create clients
let config = aws_config::load_defaults(BehaviorVersion::latest()).await;
let dynamodb_client = DynamoDbClient::new(&config);
let pricing_client = PricingClient::new(&config);
let sts_client = StsClient::new(&config);
let table_name = env::var("TABLE_NAME").unwrap_or_else(|_| "pathfinder-dev-pricing".to_string());
// Route operation
let result = handle_operation(
request.operation,
&dynamodb_client,
&pricing_client,
&sts_client,
&table_name,
)
.await;
let response = match result {
Ok(data) => PricingResponse::success(data),
Err(e) => {
error!("Operation failed: {}", e);
PricingResponse::error(500, &e)
}
};
Ok(serde_json::to_value(response)?)
}
async fn handle_operation(
operation: PricingOperation,
dynamodb_client: &DynamoDbClient,
pricing_client: &PricingClient,
sts_client: &StsClient,
table_name: &str,
) -> Result<Value, String> {
match operation {
PricingOperation::Get {
instance_type,
region,
pricing_type,
aws_account_id,
fetch_if_missing,
} => {
info!("Operation: Get (type={:?}, fetch_if_missing={})", pricing_type, fetch_if_missing);
// Check cache
let cached = db::get_pricing(
dynamodb_client,
table_name,
&instance_type,
&region,
&pricing_type,
aws_account_id.as_deref(),
)
.await?;
match cached {
Some(mut pricing) => {
// Cache hit - increment access count asynchronously
let client = dynamodb_client.clone();
let table = table_name.to_string();
let inst = instance_type.clone();
let reg = region.clone();
let pt = pricing_type.clone();
let acc_id = aws_account_id.clone();
tokio::spawn(async move {
let _ = db::increment_access_count(
&client,
&table,
&inst,
&reg,
&pt,
acc_id.as_deref(),
)
.await;
});
pricing.access_count += 1; // Show incremented count in response
Ok(serde_json::json!({
"pricing": pricing,
"cacheStatus": "hit"
}))
}
None if fetch_if_missing => {
// Cache miss - fetch from AWS
info!("Cache miss, fetching from AWS API");
let pricing = fetch_pricing(
pricing_client,
sts_client,
&instance_type,
&region,
&pricing_type,
aws_account_id.as_deref(),
)
.await?;
// Cache it
db::put_pricing(dynamodb_client, table_name, &pricing).await?;
Ok(serde_json::json!({
"pricing": pricing,
"cacheStatus": "miss"
}))
}
None => {
Err("Pricing not found and fetch_if_missing=false".to_string())
}
}
}
PricingOperation::Put {
instance_type,
region,
pricing_type,
pricing_data,
} => {
info!("Operation: Put ({} in {})", instance_type, region);
db::put_pricing(dynamodb_client, table_name, &pricing_data).await?;
Ok(serde_json::json!({
"success": true,
"instanceType": instance_type,
"region": region,
"pricingType": pricing_type
}))
}
PricingOperation::ListCommon {
limit,
min_access_count,
} => {
info!("Operation: ListCommon (limit={}, min_access={})", limit, min_access_count.unwrap_or(0));
let common = db::query_most_accessed(dynamodb_client, table_name, limit, min_access_count).await?;
Ok(serde_json::json!({
"instances": common,
"count": common.len()
}))
}
PricingOperation::IncrementAccess {
instance_type,
region,
} => {
info!("Operation: IncrementAccess ({} in {})", instance_type, region);
// Default to retail for access counting
db::increment_access_count(
dynamodb_client,
table_name,
&instance_type,
&region,
&PricingType::Retail,
None,
)
.await?;
Ok(serde_json::json!({
"success": true,
"instanceType": instance_type,
"region": region
}))
}
PricingOperation::QueryAwsApi {
instance_type,
region,
} => {
info!("Operation: QueryAwsApi ({} in {})", instance_type, region);
let pricing = aws_pricing::fetch_ec2_pricing(pricing_client, &instance_type, &region).await?;
Ok(serde_json::json!({
"pricing": pricing,
"source": "aws-pricing-api"
}))
}
PricingOperation::QueryCostExplorer {
instance_type,
region,
aws_account_id,
role_arn,
} => {
info!(
"Operation: QueryCostExplorer ({} in {}, account={})",
instance_type, region, aws_account_id
);
let pricing = cost_explorer::fetch_account_specific_pricing(
sts_client,
&instance_type,
&region,
&aws_account_id,
&role_arn,
)
.await?;
Ok(serde_json::json!({
"pricing": pricing,
"source": "cost-explorer",
"includesEDP": true
}))
}
}
}
/// Fetch pricing based on type (retail or account-specific)
async fn fetch_pricing(
pricing_client: &PricingClient,
sts_client: &StsClient,
instance_type: &str,
region: &str,
pricing_type: &PricingType,
aws_account_id: Option<&str>,
) -> Result<crate::models::PricingData, String> {
match pricing_type {
PricingType::Retail => {
info!("Fetching retail pricing from AWS Pricing API");
aws_pricing::fetch_ec2_pricing(pricing_client, instance_type, region).await
}
PricingType::AccountSpecific => {
let account_id = aws_account_id.ok_or("aws_account_id required for account-specific pricing")?;
// Role ARN is expected to be in format: arn:aws:iam::{account_id}:role/pathfinder-pricing-access
let role_arn = format!("arn:aws:iam::{}:role/pathfinder-pricing-access", account_id);
info!("Fetching account-specific pricing from Cost Explorer");
cost_explorer::fetch_account_specific_pricing(
sts_client,
instance_type,
region,
account_id,
&role_arn,
)
.await
}
}
}

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use serde::{Deserialize, Serialize};
use std::collections::HashMap;
/// Request payload for the Lambda function
#[derive(Debug, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct PricingRequest {
pub operation: PricingOperation,
}
/// Operations supported by crud-pricing
#[derive(Debug, Deserialize)]
#[serde(tag = "type", rename_all = "camelCase")]
pub enum PricingOperation {
/// Get pricing from cache (optionally fetch from AWS if missing)
Get {
instance_type: String,
region: String,
pricing_type: PricingType,
#[serde(default)]
aws_account_id: Option<String>,
#[serde(default)]
fetch_if_missing: bool,
},
/// Put pricing data into cache
Put {
instance_type: String,
region: String,
pricing_type: PricingType,
pricing_data: PricingData,
},
/// List most commonly accessed instances
ListCommon {
#[serde(default = "default_limit")]
limit: usize,
#[serde(default)]
min_access_count: Option<u32>,
},
/// Increment access count for an instance
IncrementAccess {
instance_type: String,
region: String,
},
/// Query AWS Pricing API directly
QueryAwsApi {
instance_type: String,
region: String,
},
/// Query AWS Cost Explorer for account-specific pricing
QueryCostExplorer {
instance_type: String,
region: String,
aws_account_id: String,
role_arn: String,
},
}
fn default_limit() -> usize {
50
}
/// Type of pricing data
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum PricingType {
/// Public AWS list prices
Retail,
/// Account-specific prices (includes EDP/PPA automatically)
AccountSpecific,
}
/// Complete pricing data for an instance
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct PricingData {
pub instance_type: String,
pub region: String,
pub pricing_type: PricingType,
#[serde(skip_serializing_if = "Option::is_none")]
pub aws_account_id: Option<String>,
/// EC2 instance pricing
pub ec2_pricing: Ec2Pricing,
/// Metadata
pub source: String, // "aws-pricing-api" or "cost-explorer"
pub last_updated: String,
/// Cache/access tracking
#[serde(default)]
pub access_count: u32,
#[serde(skip_serializing_if = "Option::is_none")]
pub last_accessed: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub first_cached: Option<String>,
}
/// EC2 instance pricing details
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct Ec2Pricing {
pub instance_family: String, // "m6g", "t3", etc.
pub vcpus: i32,
pub memory_gb: f64,
pub architectures: Vec<String>, // ["x86_64"], ["arm64"], etc.
/// OnDemand pricing
pub on_demand: OnDemandPricing,
/// Reserved pricing (if available)
#[serde(skip_serializing_if = "Option::is_none")]
pub reserved: Option<ReservedPricing>,
/// Spot pricing (if available)
#[serde(skip_serializing_if = "Option::is_none")]
pub spot: Option<SpotPricing>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct OnDemandPricing {
pub hourly: f64,
pub monthly: f64, // hourly * 730
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct ReservedPricing {
pub standard: HashMap<String, ReservedTerm>, // "1yr", "3yr"
pub convertible: HashMap<String, ReservedTerm>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct ReservedTerm {
pub all_upfront: ReservedOption,
pub partial_upfront: ReservedOption,
pub no_upfront: ReservedOption,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct ReservedOption {
pub effective_hourly: f64,
pub effective_monthly: f64,
pub total_upfront: f64,
pub monthly_payment: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct SpotPricing {
pub current_hourly: f64,
pub avg_hourly: f64, // 30-day average
pub max_hourly: f64,
pub interruption_frequency: String, // "<5%", "5-10%", etc.
pub savings_vs_on_demand_percent: i32,
}
/// Common instance returned by ListCommon operation
#[derive(Debug, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct CommonInstance {
pub instance_type: String,
pub region: String,
pub access_count: u32,
pub last_accessed: Option<String>,
pub last_updated: String,
}
/// Response envelope
#[derive(Debug, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct PricingResponse {
pub status_code: u16,
pub body: serde_json::Value,
}
impl PricingResponse {
pub fn success(data: impl Serialize) -> Self {
Self {
status_code: 200,
body: serde_json::to_value(data).unwrap_or(serde_json::Value::Null),
}
}
pub fn error(status_code: u16, message: &str) -> Self {
Self {
status_code,
body: serde_json::json!({ "error": message }),
}
}
}

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terraform {
required_version = ">= 1.0"
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 6.23"
}
}
}
provider "aws" {
region = var.aws_region
default_tags {
tags = {
Project = "airun-pathfinder"
Component = "crud"
Service = "pricing"
Environment = var.environment
ManagedBy = "terraform"
}
}
}
# Get current AWS account ID
data "aws_caller_identity" "current" {}
# Lambda function
resource "aws_lambda_function" "crud_pricing" {
filename = "../target/lambda/bootstrap/bootstrap.zip"
function_name = "airun-pathfinder-crud-pricing-${var.environment}"
role = aws_iam_role.lambda.arn
handler = "bootstrap"
runtime = "provided.al2023"
architectures = ["arm64"]
timeout = var.lambda_timeout
memory_size = var.lambda_memory
source_code_hash = filebase64sha256("../target/lambda/bootstrap/bootstrap.zip")
environment {
variables = {
RUST_LOG = var.log_level
TABLE_NAME = local.table_name
ENVIRONMENT = var.environment
}
}
# Enable X-Ray tracing for observability
tracing_config {
mode = "Active"
}
tags = {
Name = "airun-pathfinder-crud-pricing"
}
}
# CloudWatch Log Group
resource "aws_cloudwatch_log_group" "crud_pricing" {
name = "/aws/lambda/${aws_lambda_function.crud_pricing.function_name}"
retention_in_days = var.log_retention_days
tags = {
Name = "crud-pricing-logs"
}
}
# IAM Role for Lambda
resource "aws_iam_role" "lambda" {
name = "airun-pathfinder-crud-pricing-role-${var.environment}"
assume_role_policy = jsonencode({
Version = "2012-10-17"
Statement = [{
Action = "sts:AssumeRole"
Effect = "Allow"
Principal = {
Service = "lambda.amazonaws.com"
}
}]
})
tags = {
Name = "airun-pathfinder-crud-pricing-role"
}
}
# Basic Lambda execution policy
resource "aws_iam_role_policy_attachment" "lambda_basic" {
role = aws_iam_role.lambda.name
policy_arn = "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
}
# X-Ray permissions for tracing
resource "aws_iam_role_policy_attachment" "lambda_xray" {
role = aws_iam_role.lambda.name
policy_arn = "arn:aws:iam::aws:policy/AWSXRayDaemonWriteAccess"
}
# DynamoDB access policy
resource "aws_iam_role_policy" "dynamodb_access" {
name = "airun-pathfinder-crud-pricing-dynamodb-policy"
role = aws_iam_role.lambda.id
policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Action = [
"dynamodb:GetItem",
"dynamodb:PutItem",
"dynamodb:UpdateItem",
"dynamodb:Query"
]
Resource = [
"arn:aws:dynamodb:${var.aws_region}:${data.aws_caller_identity.current.account_id}:table/${local.table_name}",
"arn:aws:dynamodb:${var.aws_region}:${data.aws_caller_identity.current.account_id}:table/${local.table_name}/index/AccessCountIndex"
]
}
]
})
}
# AWS Pricing API access
resource "aws_iam_role_policy" "pricing_api_access" {
name = "airun-pathfinder-crud-pricing-pricing-api-policy"
role = aws_iam_role.lambda.id
policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Action = [
"pricing:GetProducts",
"pricing:DescribeServices",
"pricing:GetAttributeValues"
]
Resource = "*"
}
]
})
}
# STS AssumeRole access (for Cost Explorer in customer accounts)
resource "aws_iam_role_policy" "sts_assume_role" {
name = "airun-pathfinder-crud-pricing-sts-policy"
role = aws_iam_role.lambda.id
policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Action = "sts:AssumeRole"
Resource = "arn:aws:iam::*:role/pathfinder-pricing-access"
}
]
})
}
# Cost Explorer access (when assuming role)
# Note: This is granted via the role in the customer account, not here
# Local variables
locals {
table_name = var.table_name != "" ? var.table_name : "pathfinder-${var.environment}-pricing"
}

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output "lambda_function_arn" {
description = "ARN of the crud-pricing Lambda function"
value = aws_lambda_function.crud_pricing.arn
}
output "lambda_function_name" {
description = "Name of the crud-pricing Lambda function"
value = aws_lambda_function.crud_pricing.function_name
}
output "lambda_role_arn" {
description = "ARN of the Lambda execution role"
value = aws_iam_role.lambda.arn
}
output "table_name" {
description = "DynamoDB table name used by this Lambda"
value = local.table_name
}

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terraform/variables.tf Normal file
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variable "environment" {
description = "Environment name (dev, staging, prod)"
type = string
default = "dev"
}
variable "aws_region" {
description = "AWS region for deployment"
type = string
default = "us-east-1"
}
variable "lambda_timeout" {
description = "Lambda timeout in seconds"
type = number
default = 60
}
variable "lambda_memory" {
description = "Lambda memory in MB"
type = number
default = 512
}
variable "log_level" {
description = "Rust log level"
type = string
default = "info"
}
variable "log_retention_days" {
description = "CloudWatch log retention in days"
type = number
default = 7
}
variable "table_name" {
description = "DynamoDB table name for pricing"
type = string
default = ""
}