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sub2api/backend/internal/service/channel_monitor_const.go
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package service
import (
"time"
infraerrors "github.com/Wei-Shaw/sub2api/internal/pkg/errors"
)
// ChannelMonitor 全局常量。
// 这些是 MVP 阶段的硬编码值,按需可以提到 config 中。
const (
// monitorRequestTimeout 单次模型请求总超时(含 Body 读取)。
monitorRequestTimeout = 45 * time.Second
// monitorPingTimeout HEAD 请求 endpoint origin 的超时。
monitorPingTimeout = 8 * time.Second
// monitorDegradedThreshold 主请求成功但耗时超过该阈值视为 degraded。
monitorDegradedThreshold = 6 * time.Second
// monitorHistoryRetentionDays 明细历史保留天数。
// 60s 默认间隔 * 30 天 ≈ 43200 行/monitor/model,一般部署总量 <= 2M 行,
// PG 无压力;所以直接保留完整明细一个月,可用率查询可以全走原始行不依赖聚合。
// 聚合表 channel_monitor_daily_rollups 仍然保留,作为长期历史回填/降级查询的兜底。
monitorHistoryRetentionDays = 30
// monitorRollupRetentionDays 日聚合保留天数。
// 日聚合行由 RunDailyMaintenance 在超过该窗口后软删。
monitorRollupRetentionDays = 30
// monitorMaintenanceMaxDaysPerRun 单次维护任务最多聚合的天数。
// 用于限制首次上线回填(30 天)+ 少量余量,避免长事务。
monitorMaintenanceMaxDaysPerRun = 35
// monitorWorkerConcurrency 调度器并发执行的监控数(pond 池容量)。
monitorWorkerConcurrency = 5
// monitorStartupLoadTimeout Start 时一次性加载所有 enabled monitor 的总超时。
monitorStartupLoadTimeout = 10 * time.Second
// monitorMinIntervalSeconds / monitorMaxIntervalSeconds 用户配置的检测间隔上下限。
monitorMinIntervalSeconds = 15
monitorMaxIntervalSeconds = 3600
// monitorMessageMaxBytes message 字段最大字节数(与 schema/migration 一致)。
monitorMessageMaxBytes = 500
// monitorResponseMaxBytes 单次模型响应最大读取字节,防止 OOM。
monitorResponseMaxBytes = 64 * 1024
// monitorErrorBodySnippetMaxBytes 非 2xx 响应时保留上游 body 片段的最大字节数。
// 留 300 字节足够覆盖典型结构化错误(如 `{"error":{"message":"..."}}`),
// 又给 "upstream HTTP <status>: " 前缀留出余量,避免最终被 monitorMessageMaxBytes (500) 截得太狠。
monitorErrorBodySnippetMaxBytes = 300
// monitorChallengeMin / monitorChallengeMax challenge 操作数范围。
monitorChallengeMin = 1
monitorChallengeMax = 50
// providerOpenAIPath OpenAI Chat Completions 路径(Kimi / DeepSeek 同为 OpenAI 兼容)。
providerOpenAIPath = "/v1/chat/completions"
// providerGrokPath Grok OpenAI-compatible Chat Completions 路径。
providerGrokPath = "/v1/chat/completions"
// providerZhipuPath 智谱 OpenAI 兼容 Chat Completions 路径(前缀与官方不同)。
providerZhipuPath = "/api/paas/v4/chat/completions"
// providerOpenAIResponsesPath OpenAI Responses API 路径。
providerOpenAIResponsesPath = "/v1/responses"
// providerAnthropicPath Anthropic Messages 路径。
providerAnthropicPath = "/v1/messages"
// providerGeminiPathTemplate Gemini generateContent 路径模板(含 model 占位)。
providerGeminiPathTemplate = "/v1beta/models/%s:generateContent"
// MonitorProviderOpenAI 等 provider 字符串常量(也是 ent enum 的实际值)。
// 后 4 个 providerantigravity/kimi/zhipu/deepseek)为配额模式引入:
// antigravity 无探活 adapter(仅配额),其余 3 个复用 OpenAI 兼容探活。
MonitorProviderOpenAI = "openai"
MonitorProviderAnthropic = "anthropic"
MonitorProviderGemini = "gemini"
MonitorProviderGrok = "grok"
MonitorProviderAntigravity = "antigravity"
MonitorProviderKimi = "kimi"
MonitorProviderZhipu = "zhipu"
MonitorProviderDeepseek = "deepseek"
// MonitorCheckMode 检测模式(channel_monitors.check_mode)。
// probe - LLM 探活(默认,原有行为)
// quota - 仅查关联账号用量/余额,零 LLM 成本
// quota_probe - 探活 + 配额并存(配额快照挂到主模型历史行)
MonitorCheckModeProbe = "probe"
MonitorCheckModeQuota = "quota"
MonitorCheckModeQuotaProbe = "quota_probe"
// MonitorDefaultQuotaModel 是 quota 模式监控未显式指定模型时占位的虚拟模型名
// primary_model 列 NotEmpty,用 "quota" 让历史行/时间线机制无需特判)。
MonitorDefaultQuotaModel = "quota"
// monitorQuotaFetchCacheTTL 配额快照缓存时长。多个监控可能关联同一账号,
// 而 interval 最小 15s 且国产配额服务无缓存,TTL 防止打爆上游配额端点。
monitorQuotaFetchCacheTTL = 5 * time.Minute
// monitorQuotaErrorCacheTTL 失败快照的负缓存时长:失败也短缓存,避免
// 故障/凭据失效期间每次调度(最小 15s)都带真实凭据打上游;到期自动重试。
monitorQuotaErrorCacheTTL = 60 * time.Second
// monitorQuotaFetchTimeout singleflight 内单次配额抓取的总超时
// (脱离调用方 ctx,防止某个监控的取消波及共享同一账号的其他监控)。
monitorQuotaFetchTimeout = 45 * time.Second
// monitorQuotaDegradedUsedPercent 任一用量窗口使用率超过该阈值时,
// 配额检查状态记为 degraded(对齐账号页展示阈值)。
monitorQuotaDegradedUsedPercent = 90.0
// MonitorDefaultGrokModel 是新增 Grok 监控未显式指定模型时使用的轻量测活模型。
MonitorDefaultGrokModel = "grok-4.5"
// MonitorStatusOperational 等监控状态字符串常量(与 ent enum 一致)。
MonitorStatusOperational = "operational"
MonitorStatusDegraded = "degraded"
MonitorStatusFailed = "failed"
MonitorStatusError = "error"
// monitorAvailability7Days / 15 / 30 用于聚合查询窗口。
monitorAvailability7Days = 7
monitorAvailability15Days = 15
monitorAvailability30Days = 30
// MonitorHistoryDefaultLimit 历史查询默认返回条数(handler 层共享)。
MonitorHistoryDefaultLimit = 100
// MonitorHistoryMaxLimit 历史查询最大返回条数(handler 层共享)。
MonitorHistoryMaxLimit = 1000
// monitorTimelineMaxPoints 用户视图 timeline 每个监控最多返回的历史点数。
monitorTimelineMaxPoints = 60
// monitorEndpointResolveTimeout validateEndpoint 解析 hostname 的最长耗时。
monitorEndpointResolveTimeout = 5 * time.Second
// ---- checker / runner 行为参数(消除 magic 值)----
// monitorAnthropicAPIVersion Anthropic Messages API 版本头。
monitorAnthropicAPIVersion = "2023-06-01"
// monitorChallengeMaxTokens 单次 challenge 请求的 max_tokens(足够回答个位数算术)。
monitorChallengeMaxTokens = 50
// monitorRunOneBuffer runOne 的总超时缓冲(除请求超时与 ping 超时外的额外裕量)。
monitorRunOneBuffer = 10 * time.Second
// monitorIdleConnTimeout HTTP transport 空闲连接关闭超时。
monitorIdleConnTimeout = 30 * time.Second
// monitorTLSHandshakeTimeout HTTP transport TLS 握手超时。
monitorTLSHandshakeTimeout = 10 * time.Second
// monitorResponseHeaderTimeout HTTP transport 等待响应头超时。
monitorResponseHeaderTimeout = 30 * time.Second
// monitorPingDiscardMaxBytes ping 时丢弃响应体的最大字节数。
monitorPingDiscardMaxBytes = 1024
// monitorDialTimeout 自定义 dialer 单次连接超时。
monitorDialTimeout = 10 * time.Second
// monitorDialKeepAlive 自定义 dialer keep-alive 间隔。
monitorDialKeepAlive = 30 * time.Second
)
// 业务错误(统一在此声明,避免散落)。
var (
ErrChannelMonitorNotFound = infraerrors.NotFound(
"CHANNEL_MONITOR_NOT_FOUND", "channel monitor not found",
)
ErrChannelMonitorInvalidProvider = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_PROVIDER", "provider must be one of openai/anthropic/gemini/grok/antigravity/kimi/zhipu/deepseek",
)
ErrChannelMonitorInvalidCheckMode = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_CHECK_MODE", "check_mode must be one of probe/quota/quota_probe; antigravity only supports quota",
)
ErrChannelMonitorAccountRequired = infraerrors.BadRequest(
"CHANNEL_MONITOR_ACCOUNT_REQUIRED", "account_id is required for quota-based check_mode",
)
ErrChannelMonitorProviderIncompatible = infraerrors.BadRequest(
"CHANNEL_MONITOR_PROVIDER_INCOMPATIBLE", "monitor provider must match the linked account platform",
)
ErrChannelMonitorAccountNotSupportable = infraerrors.BadRequest(
"CHANNEL_MONITOR_ACCOUNT_NOT_SUPPORTABLE", "linked account cannot serve as a quota data source (cn coding plan must be kimi/zhipu, cn payg must be kimi/deepseek, openai requires an oauth account, anthropic requires oauth or setup-token)",
)
ErrChannelMonitorInvalidAPIMode = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_API_MODE", "api_mode must be chat_completions or responses; responses is only supported for openai",
)
ErrChannelMonitorInvalidRequestBody = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_REQUEST_BODY", "openai-compatible replace-mode body_override must include non-empty messages for chat_completions or non-empty instructions and input for responses",
)
ErrChannelMonitorInvalidInterval = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_INTERVAL", "interval_seconds must be in [15, 3600]",
)
ErrChannelMonitorInvalidJitter = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_JITTER", "jitter_seconds must be >= 0 and interval_seconds - jitter_seconds must be >= 15",
)
ErrChannelMonitorInvalidEndpoint = infraerrors.BadRequest(
"CHANNEL_MONITOR_INVALID_ENDPOINT", "endpoint must be a valid https URL",
)
ErrChannelMonitorEndpointScheme = infraerrors.BadRequest(
"CHANNEL_MONITOR_ENDPOINT_SCHEME", "endpoint must use https scheme",
)
ErrChannelMonitorEndpointPath = infraerrors.BadRequest(
"CHANNEL_MONITOR_ENDPOINT_PATH", "endpoint must be base origin only (no path/query/fragment)",
)
ErrChannelMonitorEndpointPrivate = infraerrors.BadRequest(
"CHANNEL_MONITOR_ENDPOINT_PRIVATE", "endpoint must be a public host",
)
ErrChannelMonitorEndpointUnreachable = infraerrors.BadRequest(
"CHANNEL_MONITOR_ENDPOINT_UNREACHABLE", "endpoint hostname could not be resolved",
)
ErrChannelMonitorMissingAPIKey = infraerrors.BadRequest(
"CHANNEL_MONITOR_MISSING_API_KEY", "api_key is required when creating a monitor",
)
ErrChannelMonitorMissingPrimaryModel = infraerrors.BadRequest(
"CHANNEL_MONITOR_MISSING_PRIMARY_MODEL", "primary_model is required",
)
ErrChannelMonitorAPIKeyDecryptFailed = infraerrors.InternalServer(
"CHANNEL_MONITOR_KEY_DECRYPT_FAILED", "api key decryption failed; please re-edit the monitor with a fresh key",
)
)
var (
ErrChannelMonitorDisabled = infraerrors.Forbidden(
"CHANNEL_MONITOR_DISABLED",
"channel monitor feature is disabled",
)
ErrChannelMonitorActiveProbesRetired = infraerrors.Forbidden(
"CHANNEL_MONITOR_ACTIVE_PROBES_RETIRED",
"channel monitor active probes are retired in v2 mode",
)
ErrChannelMonitorModeMismatch = infraerrors.Forbidden(
"CHANNEL_MONITOR_MODE_MISMATCH",
"channel monitor mode does not allow this operation",
)
)