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Convex MCP server

Official
by get-convex
common.ts3.88 kB
import { Infer } from "convex/values"; import { axiomConfig, datadogConfig, udfType, udfVisibility, webhookConfig, } from "../../schema"; import { Doc } from "../../_generated/dataModel"; export type UdfType = Infer<typeof udfType>; export type Visibility = Infer<typeof udfVisibility>; export type UdfWrite = { path: string; source: string; }; export type LogLevel = "LOG" | "DEBUG" | "INFO" | "WARN" | "ERROR"; export type StructuredLogLine = { messages: string[]; level: LogLevel; timestamp: number; isTruncated: boolean; componentPath?: string; udfPath?: string; }; export type LogLine = string | StructuredLogLine; export type UsageStats = { actionMemoryUsedMb: number | null; databaseReadBytes: number; databaseWriteBytes: number; databaseReadDocuments: number; storageReadBytes: number; storageWriteBytes: number; vectorIndexReadBytes: number; vectorIndexWriteBytes: number; }; export type FunctionExecutionCompletion = { kind: "Completion"; componentPath?: string; identifier: string; udfType: UdfType; arguments: string[]; logLines: LogLine[]; // Unix timestamp (in seconds) timestamp: number; // null, except for successful http udfs where the status code will be // present. Always null for function udfs. // For http udfs, status is a string, but always a numeric value (200, 500 // etc). success: { status: string } | null; error: string | null; cachedResult: boolean; // UDF execution duration (in seconds) executionTime: number; requestId: string; executionId: string; usageStats?: UsageStats; returnBytes?: number; caller: string; environment: string; identityType: string; parentExecutionId: string | null; executionTimestamp?: number; }; export type FunctionExecutionProgess = { kind: "Progress"; componentPath?: string | null; identifier: string; udfType: UdfType; // Unix timestamp (in seconds) timestamp: number; logLines: LogLine[]; requestId: string; executionId: string; }; export type FunctionExecution = | FunctionExecutionCompletion | FunctionExecutionProgess; export type ResolvedSourcePos = { path: string; start_lineno: bigint; start_col: bigint; }; export type AnalyzedModuleFunction = { name: string; lineno?: number; udfType: UdfType; visibility: Visibility; argsValidator: string; }; // To deprecate export type Module = { functions: AnalyzedModuleFunction[]; cronSpecs?: [string, CronSpec][]; // By returning sourcePackageId, we make module queries rerender when source // code changes, which allows the dashboard to refetch source code. sourcePackageId: string; }; export type CronJob = Doc<"_cron_jobs">; export type CronSpec = Doc<"_cron_jobs">["cronSpec"]; export type CronSchedule = Doc<"_cron_jobs">["cronSpec"]["cronSchedule"]; export type CronJobLog = Doc<"_cron_job_logs">; export type CronJobWithRuns = Doc<"_cron_jobs"> & { lastRun: CronJobLog | null; nextRun: Doc<"_cron_next_run">; }; export type Modules = Map<string, Module>; export type Export = Doc<"_exports">; export type CompletedExport = Export & { state: "completed" }; export type EnvironmentVariable = Doc<"_environment_variables">; export type ScheduledJob = Doc<"_scheduled_jobs">; export type UdfConfig = Doc<"_udf_config">; export type Integration = Doc<"_log_sinks">; export type IntegrationConfig = Integration["config"]; // Export integrations aren't configured on convex's side, so they don't use _log_sinks table export type ExportIntegrationType = "airbyte" | "fivetran"; export type IntegrationType = IntegrationConfig["type"] | ExportIntegrationType; export type DatadogConfig = Infer<typeof datadogConfig>; export type DatadogSiteLocation = DatadogConfig["siteLocation"]; export type WebhookConfig = Infer<typeof webhookConfig>; export type AxiomConfig = Infer<typeof axiomConfig>;

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