AETHERIA

Intelligent Crisis Response & Communication Orchestrator (ICRCO)

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\n\n`;\n}",[],[256],{"_103":264,"_95":265,"_152":266,"_154":-5,"_155":137,"_156":267,"_158":159,"_105":268,"_100":177,"_162":163,"_164":269,"_166":22,"_167":-5,"_168":270,"_98":271},"228e0b44-36c3-11f0-9f11-9e149126039e","utils.ts","1b1051ce-36c3-11f0-b04e-9e149126039e",30,["D",1747887217469],"// src/utils.ts\n\nexport const Utils = {\n /**\n * Fills placeholders in a template string with data from a record.\n * Placeholders are in the format {{ key }}.\n * If a key is not found in data or its value is null/undefined, it's replaced with \"[N/A]\".\n * @param template The template string.\n * @param data A record containing data to fill the template.\n * @returns The filled template string.\n */\n fillPromptTemplate: (template: string, data: Record): string => {\n let filledTemplate = template;\n for (const key in data) {\n const placeholder = new RegExp(`\\\\{\\\\{\\\\s*${key}\\\\s*\\\\}\\\\}`, \"g\");\n filledTemplate = filledTemplate.replace(placeholder, String(data[key] ?? \"[N/A]\"));\n }\n return filledTemplate;\n },\n\n /**\n * Generates a short, random, uppercase alphanumeric ID.\n * @param length The desired length of the ID (default is 8).\n * @returns A random ID string.\n */\n generateShortId: (length = 8): string => {\n return Math.random().toString(36).substring(2, 2 + length).toUpperCase();\n },\n\n /**\n * Escapes HTML special characters in a string to prevent XSS.\n * Handles null or undefined input by returning an empty string.\n * @param unsafeS The potentially unsafe string or any value (will be converted to string).\n * @returns An HTML-escaped string.\n */\n escapeHTML: (unsafeS: any): string => {\n if (unsafeS == null) return \"\";\n return String(unsafeS)\n .replace(/&/g, \"&\")\n .replace(//g, \">\")\n .replace(/\"/g, \""\")\n .replace(/'/g, \"'\");\n },\n\n /**\n * Creates a deep copy of an object, handling circular references for JSON stringification.\n * @param obj The object to clone.\n * @returns A deep copy of the object, or the original object if cloning fails.\n */\n deepCloneWithCircularityHandling(obj: T): T {\n if (typeof obj !== \"object\" || obj === null) {\n return obj;\n }\n try {\n return typeof structuredClone === \"function\"\n ? structuredClone(obj)\n : JSON.parse(JSON.stringify(obj, getCircularReplacer()));\n } catch (e) {\n console.warn(\"[Utils.deepClone] Deep clone failed, returning original. Error:\", e);\n return obj; // Fallback, though imperfect for complex cases without structuredClone\n }\n },\n};\n\n/**\n * Helper function for JSON.stringify to handle circular references.\n * @returns A replacer function for JSON.stringify.\n */\nconst getCircularReplacer = () => {\n const seen = new WeakSet();\n return (_key: string, value: any) => {\n if (typeof value === \"object\" && value !== null) {\n if (seen.has(value)) {\n return \"[Circular Reference]\";\n }\n seen.add(value);\n }\n return value;\n };\n};",[],[265],"files",[149,171,181,192,201,210,219,228,236,245,254,263],"counts",{"_276":32,"_277":207,"_278":32,"_279":280},"pulls","branches","forks","envVars",{"_281":32,"_282":32},"count","emptyCount","contents",[],"file",{"_103":229,"_95":99,"_152":230,"_154":-5,"_155":137,"_156":231,"_158":159,"_105":287,"_100":161,"_162":163,"_164":233,"_166":22,"_167":-5,"_98":288},["D",1747888837394],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.history_.$",{"_93":94,"_95":96,"_97":43,"_98":99,"_101":297,"_285":302,"_305":306,"_323":324,"_330":-7,"_331":32,"_332":22},{"_103":104,"_95":96,"_105":298,"_107":-5,"_108":22,"_109":110,"_111":-5,"_112":-5,"_14":113,"_114":-5,"_115":22,"_116":-5,"_117":32,"_16":118,"_119":120,"_121":120,"_122":123,"_124":123,"_125":123,"_126":120,"_127":120,"_23":299,"_131":300,"_134":301,"_146":22},["D",1747886779243],{"_93":94,"_129":130},{"_93":94,"_133":130},{"_100":136,"_95":43,"_103":137,"_138":104,"_139":-5,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":96,"_145":94},{"_103":229,"_95":99,"_152":230,"_154":-5,"_155":137,"_156":231,"_158":159,"_105":303,"_100":161,"_162":163,"_164":233,"_166":22,"_167":-5,"_98":304},["D",1747888837394],[99],"history",[307,309,314,318],{"_103":229,"_155":137,"_152":230,"_95":99,"_164":233,"_162":163,"_100":161,"_154":-5,"_105":308,"_156":231,"_167":-5},["D",1747888837394],{"_103":310,"_155":137,"_152":230,"_95":99,"_164":311,"_162":163,"_100":177,"_154":-5,"_105":312,"_156":313,"_167":-5},"dba9fdbe-36c2-11f0-9ca6-9e149126039e","// src/process_definitions.ts\nimport { ProcessDefinitionId } from \"./constants_and_ids\";\nimport {\n ExecutiveBriefingPointsOut,\n IncidentImpactAssessmentOut,\n InputValidationError,\n ProcessDefinition,\n StakeholderCommunicationDraftOut,\n} from \"./types\";\nimport { Utils } from \"./utils\";\n\n// Note: The full definitions are very long. I'll include one and placeholders for others.\n// The actual content would be copied from the original script.\n\nconst AETHERIA_PROCESS_DEFINITIONS: ProcessDefinition[] = [\n // 1. Assess Incident Impact & Generate Initial Internal Report\n {\n id: \"assess_incident_impact\",\n title: \"Incident Impact Assessment\",\n objective:\n \"Rapidly assess a critical incident's scope, impact, and current status to form a baseline internal understanding.\",\n uiColorClass: \"border-red-600\",\n questions: [\n {\n key: \"q_incidentType\",\n promptText:\n \"Describe the nature of the incident (e.g., System Outage, Security Breach, Data Loss, Service Degradation).\",\n displayName: \"Incident Type\",\n type: \"text\",\n mapsTo: \"incidentType\",\n placeholder: \"e.g., Unplanned database downtime\",\n },\n {\n key: \"q_detectedAt\",\n promptText: \"When was the incident first detected or reported (approximate date/time)?\",\n displayName: \"Detection Time\",\n type: \"text\",\n mapsTo: \"detectionTime\",\n placeholder: \"YYYY-MM-DD HH:MM UTC\",\n },\n {\n key: \"q_affectedServices\",\n promptText: \"Which specific services, systems, or products are directly affected?\",\n displayName: \"Affected Services\",\n type: \"textarea\",\n mapsTo: \"affectedServicesCritical\",\n placeholder: \"List services, e.g., API Gateway, Customer Portal, Payment Processing\",\n },\n {\n key: \"q_userImpact\",\n promptText: \"Describe the observed or anticipated impact on users/customers.\",\n displayName: \"User Impact\",\n type: \"textarea\",\n mapsTo: \"userImpactDescription\",\n placeholder: \"e.g., Users unable to log in, slow performance, incorrect data displayed\",\n },\n {\n key: \"q_dataSensitivity\",\n promptText: \"Is there any known or suspected exposure/compromise of sensitive data (PII, PHI, financial)?\",\n displayName: \"Data Sensitivity\",\n type: \"select\",\n mapsTo: \"dataExposureRisk\",\n options: [\n { label: \"Select Risk\", value: \"\" },\n { label: \"No Sensitive Data Involved\", value: \"NONE\" },\n { label: \"Low Sensitivity Data\", value: \"LOW\" },\n { label: \"Medium Sensitivity (Internal/Proprietary)\", value: \"MEDIUM\" },\n { label: \"High Sensitivity (Regulated/Confidential)\", value: \"HIGH\" },\n { label: \"Confirmed PII/PHI Exposure\", value: \"PII_PHI\" },\n ],\n },\n {\n key: \"q_currentActions\",\n promptText: \"What immediate actions have been taken or are in progress to contain/mitigate?\",\n displayName: \"Immediate Actions\",\n type: \"textarea\",\n mapsTo: \"mitigationActionsTaken\",\n placeholder: \"e.g., Rolled back deployment X, isolated affected servers, initiated investigation protocol Y\",\n },\n {\n key: \"q_incidentSeverity\",\n promptText: \"Initial assessment of incident severity?\",\n displayName: \"Severity\",\n type: \"select\",\n mapsTo: \"incidentSeverity\",\n options: [\n { label: \"Select Severity\", value: \"\" },\n { label: \"CRITICAL (Widespread, major impact)\", value: \"CRITICAL\" },\n { label: \"HIGH (Significant impact, contained)\", value: \"HIGH\" },\n { label: \"MEDIUM (Moderate impact, limited scope)\", value: \"MEDIUM\" },\n { label: \"LOW (Minor impact, easily recoverable)\", value: \"LOW\" },\n ],\n optional: true,\n },\n {\n key: \"q_outputTone_impact\",\n promptText: \"Desired AI output tone for the assessment summary? (Optional)\",\n displayName: \"Output Tone\",\n type: \"select\",\n optional: true,\n mapsTo: \"outputTone\",\n options: [{ label: \"-- Tone --\", value: \"\" }, { label: \"Direct & Factual\", value: \"direct_factual\" }, {\n label: \"Objective & Analytical\",\n value: \"objective_analytical\",\n }],\n },\n ],\n inputValidator: (data, questions) => {\n const errors: InputValidationError[] = [];\n const requiredFields: string[] = [\n \"incidentType\",\n \"detectionTime\",\n \"affectedServicesCritical\",\n \"userImpactDescription\",\n \"dataExposureRisk\",\n \"mitigationActionsTaken\",\n ];\n for (const field of requiredFields) {\n // Using mapsTo for data keys\n if (!data[field] || String(data[field]).trim() === \"\") {\n const q = questions.find(q => q.mapsTo === field);\n errors.push({\n fieldKey: q?.key || String(field),\n message: `${q?.displayName || field} is critical and must be provided.`,\n });\n }\n }\n return errors.length ? errors : true;\n },\n aiAgentConfiguration: {\n agentName: \"ImpactAssessorAI\",\n promptEngineer: (p: any) => ({ // p is BaseIncidentContext & specific fields from mapsTo\n systemPrompt: Utils.fillPromptTemplate(\n `You are an AI assistant specializing in summarizing critical incident information for internal technical and management teams. Your primary goal is to produce a structured, factual, and concise assessment based on the provided inputs. The output must be in JSON format. Adhere to the following structure:\n{\n \"incidentSummary\": \"string (Brief, 1-2 sentence overview of the incident)\",\n \"affectedSystems\": [\"string\"],\n \"potentialUserImpact\": \"string (Detailed description of how users are affected)\",\n \"dataSensitivity\": \"NONE\" | \"LOW\" | \"MEDIUM\" | \"HIGH\" | \"PII_PHI\",\n \"estimatedContainmentTime\": \"string (e.g., 'Within 2 hours', 'Uncertain, under investigation', '4-6 hours once root cause identified')\",\n \"keyKnownFacts\": [\"string (Bullet points of confirmed information)\"],\n \"keyUnknowns\": [\"string (Bullet points of critical information still needed)\"],\n \"immediateActionsTaken\": [\"string (Summary of actions already performed)\"],\n \"internalEscalationPath\": \"string (e.g., 'Incident Commander -> VP Engineering -> CTO')\",\n \"suggestedNextReviewTime\": \"string (e.g., 'In 30 minutes', 'In 1 hour', 'ASAP')\"\n}\nMaintain a {{outputTone}} tone. Confidentiality is paramount. Do not speculate beyond provided facts unless explicitly asked to identify unknowns.`,\n { outputTone: p.outputTone || \"direct_factual\" },\n ),\n userPrompt: `Incident Details:\n- Type: ${p.incidentType}\n- Detected: ${p.detectionTime}\n- Affected Services: ${p.affectedServicesCritical}\n- User Impact: ${p.userImpactDescription}\n- Data Sensitivity Risk: ${p.dataExposureRisk}\n- Actions Taken: ${p.mitigationActionsTaken}\n- Severity (Initial): ${p.incidentSeverity || \"Not specified, infer if possible or state as HIGH\"}\n\nBased on this information, generate the comprehensive incident impact assessment as per the JSON structure provided in the system prompt. Prioritize accuracy and clarity. For 'estimatedContainmentTime', provide a reasonable estimate or state if uncertain. For 'internalEscalationPath', assume a standard path if not specified (e.g., On-call -> Manager -> Director -> VP). For 'suggestedNextReviewTime', suggest an appropriate interval based on common incident response practices (e.g., 30-60 mins for active critical incidents).`,\n }),\n outputSchemaParser: (rawJson: string): IncidentImpactAssessmentOut => {\n const parsed = JSON.parse(rawJson);\n if (!parsed.incidentSummary || !parsed.affectedSystems || !parsed.potentialUserImpact) {\n throw new Error(\"Critical fields missing in AI-generated impact assessment.\");\n }\n return parsed as IncidentImpactAssessmentOut;\n },\n },\n },\n // ... (Definition for \"draft_stakeholder_communication\")\n // ... (Definition for \"generate_executive_briefing\")\n // Ensure these are fully copied from the original long script\n];\n\n/**\n * Retrieves a process definition by its ID.\n * @param id The ProcessDefinitionId of the desired process.\n * @returns The ProcessDefinition object, or undefined if not found.\n */\nexport function getProcessDefinition(id: ProcessDefinitionId): ProcessDefinition | undefined {\n return AETHERIA_PROCESS_DEFINITIONS.find(p => p.id === id);\n}",["D",1747887098531],18,{"_103":315,"_155":137,"_152":230,"_95":99,"_164":72,"_162":163,"_100":207,"_154":-5,"_105":316,"_156":317,"_167":-5},"d770d452-36c2-11f0-b03f-9e149126039e",["D",1747887091448],17,{"_103":319,"_155":137,"_152":230,"_95":320,"_164":72,"_162":163,"_100":32,"_154":-5,"_105":321,"_156":322,"_167":-5},"d115777a-36c2-11f0-b03f-9e149126039e","new-file-3295.tsx",["D",1747887080785],16,"versions",[325,327,328,329],{"_285":307,"_326":309},"previous",{"_285":309,"_326":314},{"_285":314,"_326":318},{"_285":318,"_326":-5},"versionNumber","page","hasNext","actionData","errors"]

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