omnifocus-mcp/dist/utils/logger.js

Model Context Protocol (MCP) server that integrates with OmniFocus for AI assistant interaction

const LOG_LEVELS = [
    "debug", "info", "notice", "warning", "error", "critical", "alert", "emergency"
];
export class Logger {
    server;
    minLevel = "info";
    constructor(server) {
        this.server = server;
    }
    setLevel(level) {
        this.minLevel = level;
    }
    getLevel() {
        return this.minLevel;
    }
    shouldLog(level) {
        return LOG_LEVELS.indexOf(level) >= LOG_LEVELS.indexOf(this.minLevel);
    }
    log(level, logger, data) {
        if (!this.shouldLog(level))
            return;
        // sendLoggingMessage is async — use .catch() to handle pre-handshake calls gracefully
        this.server.sendLoggingMessage({ level, logger, data }).catch(() => {
            // Connection may not be established yet; fall back to stderr
            console.error(`[${level}] [${logger}]`, data);
        });
    }
    debug(logger, data) {
        this.log("debug", logger, data);
    }
    info(logger, data) {
        this.log("info", logger, data);
    }
    notice(logger, data) {
        this.log("notice", logger, data);
    }
    warning(logger, data) {
        this.log("warning", logger, data);
    }
    error(logger, data) {
        this.log("error", logger, data);
    }
}