Files
CC-Switch/src-tauri/src/proxy/usage/calculator.rs
T
Jason 8669b408e9 fix(usage): deduplicate proxy and session log usage records
Extract message_id from Claude API responses (msg_xxx) and use it to
generate a shared request_id format (session:{msg_xxx}) between the
proxy logger and session log sync. When session sync encounters the
same request_id via INSERT OR IGNORE, it skips the duplicate.

- Add message_id field to TokenUsage, extracted from Claude responses
- Add TokenUsage::dedup_request_id() to generate shared request IDs
- Define SESSION_REQUEST_ID_PREFIX constant to eliminate magic strings
- Change proxy logger to INSERT OR REPLACE for richer-data-wins semantics
2026-04-14 10:33:41 +08:00

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Rust
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//! Cost Calculator - 计算 API 请求成本
//!
//! 使用高精度 Decimal 类型避免浮点数精度问题
use super::parser::TokenUsage;
use rust_decimal::Decimal;
use std::str::FromStr;
/// 成本明细
#[derive(Debug, Clone)]
pub struct CostBreakdown {
pub input_cost: Decimal,
pub output_cost: Decimal,
pub cache_read_cost: Decimal,
pub cache_creation_cost: Decimal,
pub total_cost: Decimal,
}
/// 模型定价信息
#[derive(Debug, Clone)]
pub struct ModelPricing {
pub input_cost_per_million: Decimal,
pub output_cost_per_million: Decimal,
pub cache_read_cost_per_million: Decimal,
pub cache_creation_cost_per_million: Decimal,
}
/// 成本计算器
pub struct CostCalculator;
impl CostCalculator {
/// 计算请求成本
///
/// # 参数
/// - `usage`: Token 使用量
/// - `pricing`: 模型定价
/// - `cost_multiplier`: 成本倍数 (provider 自定义)
///
/// # 计算逻辑
/// - input_cost: (input_tokens - cache_read_tokens) × 输入价格
/// - cache_read_cost: cache_read_tokens × 缓存读取价格
/// - 这样避免缓存部分被重复计费
/// - total_cost: 各项成本之和 × 倍率(倍率只作用于最终总价)
pub fn calculate(
usage: &TokenUsage,
pricing: &ModelPricing,
cost_multiplier: Decimal,
) -> CostBreakdown {
let million = Decimal::from(1_000_000);
// 计算实际需要按输入价格计费的 token 数(减去缓存命中部分)
let billable_input_tokens = usage.input_tokens.saturating_sub(usage.cache_read_tokens);
// 各项基础成本(不含倍率)
let input_cost =
Decimal::from(billable_input_tokens) * pricing.input_cost_per_million / million;
let output_cost =
Decimal::from(usage.output_tokens) * pricing.output_cost_per_million / million;
let cache_read_cost =
Decimal::from(usage.cache_read_tokens) * pricing.cache_read_cost_per_million / million;
let cache_creation_cost = Decimal::from(usage.cache_creation_tokens)
* pricing.cache_creation_cost_per_million
/ million;
// 总成本 = 各项基础成本之和 × 倍率
let base_total = input_cost + output_cost + cache_read_cost + cache_creation_cost;
let total_cost = base_total * cost_multiplier;
CostBreakdown {
input_cost,
output_cost,
cache_read_cost,
cache_creation_cost,
total_cost,
}
}
/// 尝试计算成本,如果模型未知则返回 None
pub fn try_calculate(
usage: &TokenUsage,
pricing: Option<&ModelPricing>,
cost_multiplier: Decimal,
) -> Option<CostBreakdown> {
pricing.map(|p| Self::calculate(usage, p, cost_multiplier))
}
}
impl ModelPricing {
/// 从字符串创建定价信息
pub fn from_strings(
input: &str,
output: &str,
cache_read: &str,
cache_creation: &str,
) -> Result<Self, rust_decimal::Error> {
Ok(Self {
input_cost_per_million: Decimal::from_str(input)?,
output_cost_per_million: Decimal::from_str(output)?,
cache_read_cost_per_million: Decimal::from_str(cache_read)?,
cache_creation_cost_per_million: Decimal::from_str(cache_creation)?,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_cost_calculation() {
let usage = TokenUsage {
input_tokens: 1000,
output_tokens: 500,
cache_read_tokens: 200,
cache_creation_tokens: 100,
model: None,
message_id: None,
};
let pricing = ModelPricing::from_strings("3.0", "15.0", "0.3", "3.75").unwrap();
let multiplier = Decimal::from_str("1.0").unwrap();
let cost = CostCalculator::calculate(&usage, &pricing, multiplier);
// input: (1000 - 200) * 3.0 / 1M = 0.0024 (只计算非缓存部分)
assert_eq!(cost.input_cost, Decimal::from_str("0.0024").unwrap());
// output: 500 * 15.0 / 1M = 0.0075
assert_eq!(cost.output_cost, Decimal::from_str("0.0075").unwrap());
// cache_read: 200 * 0.3 / 1M = 0.00006
assert_eq!(cost.cache_read_cost, Decimal::from_str("0.00006").unwrap());
// cache_creation: 100 * 3.75 / 1M = 0.000375
assert_eq!(
cost.cache_creation_cost,
Decimal::from_str("0.000375").unwrap()
);
// total: 0.0024 + 0.0075 + 0.00006 + 0.000375 = 0.010335
assert_eq!(cost.total_cost, Decimal::from_str("0.010335").unwrap());
}
#[test]
fn test_cost_multiplier() {
let usage = TokenUsage {
input_tokens: 1000,
output_tokens: 0,
cache_read_tokens: 0,
cache_creation_tokens: 0,
model: None,
message_id: None,
};
let pricing = ModelPricing::from_strings("3.0", "15.0", "0", "0").unwrap();
let multiplier = Decimal::from_str("1.5").unwrap();
let cost = CostCalculator::calculate(&usage, &pricing, multiplier);
// input_cost: 基础价格(不含倍率)= 1000 * 3.0 / 1M = 0.003
assert_eq!(cost.input_cost, Decimal::from_str("0.003").unwrap());
// total_cost: 基础价格 × 倍率 = 0.003 * 1.5 = 0.0045
assert_eq!(cost.total_cost, Decimal::from_str("0.0045").unwrap());
}
#[test]
fn test_unknown_model_handling() {
let usage = TokenUsage {
input_tokens: 1000,
output_tokens: 500,
cache_read_tokens: 0,
cache_creation_tokens: 0,
model: None,
message_id: None,
};
let multiplier = Decimal::from_str("1.0").unwrap();
let cost = CostCalculator::try_calculate(&usage, None, multiplier);
assert!(cost.is_none());
}
#[test]
fn test_decimal_precision() {
let usage = TokenUsage {
input_tokens: 1,
output_tokens: 1,
cache_read_tokens: 1,
cache_creation_tokens: 1,
model: None,
message_id: None,
};
let pricing = ModelPricing::from_strings("0.075", "0.3", "0.01875", "0.075").unwrap();
let multiplier = Decimal::from_str("1.0").unwrap();
let cost = CostCalculator::calculate(&usage, &pricing, multiplier);
// 验证高精度计算
assert!(cost.total_cost > Decimal::ZERO);
assert!(cost.total_cost.to_string().len() > 2); // 确保保留了小数位
}
}