chore(lint): 修复 golangci-lint unused

- 移除 OpenAIGatewayHandler 未使用字段

- 删除并发缓存中未使用的 Redis 脚本常量

- 将仅供 unit 测试使用的 parseIntegralNumber 移入 unit build tag 文件
This commit is contained in:
yangjianbo
2026-02-12 14:20:56 +08:00
parent 65661f24e2
commit af3069073a
4 changed files with 51 additions and 143 deletions

View File

@@ -147,108 +147,6 @@ var (
return 1
`)
// WARNING: Redis Cluster 不兼容 — 脚本内部拼接 keyCluster 模式下可能路由到错误节点。
// 调用时传递空 KEYS 数组,所有 key 在 Lua 内通过 ARGV 动态拼接,
// 无法被 Redis Cluster 正确路由到对应 slot仅适用于单节点或 Sentinel 模式。
//
// getAccountsLoadBatchScript - batch load query with expired slot cleanup
// ARGV[1] = slot TTL (seconds)
// ARGV[2..n] = accountID1, maxConcurrency1, accountID2, maxConcurrency2, ...
getAccountsLoadBatchScript = redis.NewScript(`
local result = {}
local slotTTL = tonumber(ARGV[1])
-- Get current server time
local timeResult = redis.call('TIME')
local nowSeconds = tonumber(timeResult[1])
local cutoffTime = nowSeconds - slotTTL
local i = 2
while i <= #ARGV do
local accountID = ARGV[i]
local maxConcurrency = tonumber(ARGV[i + 1])
local slotKey = 'concurrency:account:' .. accountID
-- Clean up expired slots before counting
redis.call('ZREMRANGEBYSCORE', slotKey, '-inf', cutoffTime)
local currentConcurrency = redis.call('ZCARD', slotKey)
local waitKey = 'wait:account:' .. accountID
local waitingCount = redis.call('GET', waitKey)
if waitingCount == false then
waitingCount = 0
else
waitingCount = tonumber(waitingCount)
end
local loadRate = 0
if maxConcurrency > 0 then
loadRate = math.floor((currentConcurrency + waitingCount) * 100 / maxConcurrency)
end
table.insert(result, accountID)
table.insert(result, currentConcurrency)
table.insert(result, waitingCount)
table.insert(result, loadRate)
i = i + 2
end
return result
`)
// WARNING: Redis Cluster 不兼容 — 脚本内部拼接 keyCluster 模式下可能路由到错误节点。
// 调用时传递空 KEYS 数组,所有 key 在 Lua 内通过 ARGV 动态拼接,
// 无法被 Redis Cluster 正确路由到对应 slot仅适用于单节点或 Sentinel 模式。
//
// getUsersLoadBatchScript - batch load query for users with expired slot cleanup
// ARGV[1] = slot TTL (seconds)
// ARGV[2..n] = userID1, maxConcurrency1, userID2, maxConcurrency2, ...
getUsersLoadBatchScript = redis.NewScript(`
local result = {}
local slotTTL = tonumber(ARGV[1])
-- Get current server time
local timeResult = redis.call('TIME')
local nowSeconds = tonumber(timeResult[1])
local cutoffTime = nowSeconds - slotTTL
local i = 2
while i <= #ARGV do
local userID = ARGV[i]
local maxConcurrency = tonumber(ARGV[i + 1])
local slotKey = 'concurrency:user:' .. userID
-- Clean up expired slots before counting
redis.call('ZREMRANGEBYSCORE', slotKey, '-inf', cutoffTime)
local currentConcurrency = redis.call('ZCARD', slotKey)
local waitKey = 'concurrency:wait:' .. userID
local waitingCount = redis.call('GET', waitKey)
if waitingCount == false then
waitingCount = 0
else
waitingCount = tonumber(waitingCount)
end
local loadRate = 0
if maxConcurrency > 0 then
loadRate = math.floor((currentConcurrency + waitingCount) * 100 / maxConcurrency)
end
table.insert(result, userID)
table.insert(result, currentConcurrency)
table.insert(result, waitingCount)
table.insert(result, loadRate)
i = i + 2
end
return result
`)
// cleanupExpiredSlotsScript - remove expired slots
// KEYS[1] = concurrency:account:{accountID}
// ARGV[1] = TTL (seconds)