[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_154":155,"_156":157},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":57,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":31,"_56":57,"_58":57,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",8,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","a2ff6cd4-9e09-11f0-959a-0224a6c84d84","name","fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n\n// --- Type Definitions ---\ninterface MetricParameter {\n base: number;\n minNormal: number;\n maxNormal: number;\n anomalyHigh?: number;\n anomalyLow?: number;\n unit: string;\n maxDriftPercentage: number;\n}\n\ninterface CellMetricsConfiguration {\n voltage: MetricParameter;\n temperature: MetricParameter;\n current: MetricParameter;\n stateOfHealth: MetricParameter;\n}\n\ntype CellStatus = \"Active\" | \"Bypassed\" | \"Compensating\" | \"Triage\" | \"Dead\";\n\ninterface CellReading {\n cellId: string;\n timestamp: string;\n status: CellStatus;\n metrics: {\n voltage: { value: number; unit: string };\n temperature: { value: number; unit: string };\n current: { value: number; unit: string };\n stateOfHealth: { value: number; unit: string };\n };\n}\n\ninterface RebalancingAction {\n triggeringCellId: string;\n anomalyType: string;\n compensatingCellIds: string[];\n actionTimestamp: string;\n}\n\ninterface ScenarioEvent {\n scenarioName: string;\n description: string;\n timestamp: string;\n}\n\ninterface TelemetryPayload {\n cellIds: string[];\n batch: CellReading[];\n action: RebalancingAction | null;\n scenarioEvent: ScenarioEvent | null;\n totalPower: number;\n}\n\ntype CellMetricsLastValues = {\n [metricKey in keyof CellMetricsConfiguration]?: number;\n};\n\ntype CellPersistentState = {\n lastValues: CellMetricsLastValues;\n status: CellStatus;\n soh: number;\n triageUntil: number | null;\n heatStress: number; // A new metric for cascading failures\n};\n\ntype AllCellsLastStates = {\n [cellId: string]: CellPersistentState | undefined;\n};\n\ntype Scenario = \"None\" | \"SuddenOverload\" | \"CascadingFailure\" | \"SensorGlitch\";\n\n// --- Configuration & State ---\nconst DEFAULT_CELL_CONFIG: CellMetricsConfiguration = {\n voltage: {\n base: 3.7,\n minNormal: 3.2,\n maxNormal: 4.2,\n anomalyHigh: 4.25,\n anomalyLow: 3.0,\n unit: \"V\",\n maxDriftPercentage: 0.5,\n },\n temperature: {\n base: 28,\n minNormal: 15,\n maxNormal: 45,\n anomalyHigh: 60,\n anomalyLow: 10,\n unit: \"°C\",\n maxDriftPercentage: 3,\n },\n current: {\n base: 2.5,\n minNormal: -5,\n maxNormal: 5,\n anomalyHigh: 8,\n unit: \"A\",\n maxDriftPercentage: 15,\n },\n stateOfHealth: {\n base: 99,\n minNormal: 80,\n maxNormal: 100,\n anomalyLow: 79,\n unit: \"%\",\n maxDriftPercentage: 0,\n },\n};\n\nconst NUM_MODULES = 3;\nconst CELLS_PER_MODULE = 8;\nconst TRIAGE_DURATION_MS = 10000;\nconst CELL_IDS: string[] = Array.from(\n { length: NUM_MODULES * CELLS_PER_MODULE },\n (_, i) =>\n `M${Math.floor(i / CELLS_PER_MODULE) + 1}-C${(i % CELLS_PER_MODULE) + 1}`,\n);\n\nlet allCellsLastStates: AllCellsLastStates = {};\nlet activeScenario: Scenario = \"None\";\nlet scenarioTargetCell: string | null = null;\nlet scenarioEndTime: number | null = null;\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst AI_ANALYST_PROMPT = `\nYou are an expert AI Battery Systems Engineer. Your task is to provide a concise, professional analysis of a battery management system event.\nYou will be given the context of an anomaly. Your response must be a structured analysis that a technician could use.\nRespond ONLY with a single, minified JSON object with three keys: \"cause\", \"consequence\", and \"recommendation\".\n- \"cause\": A brief, likely technical reason for the event based on the data.\n- \"consequence\": The immediate action the BMS took and its effect on the system.\n- \"recommendation\": A single, actionable next step for monitoring or maintenance.\n\nExample Input: { \"anomalyType\": \"Overheat\", \"triggeringCell\": \"M1-C3\", \"compensatingCells\": [\"M2-C1\", \"M3-C5\"] }\nExample Output: {\n \"cause\": \"Cell M1-C3 exceeded its thermal threshold, likely due to sustained high discharge or localized cooling inefficiency.\",\n \"consequence\": \"The BMS correctly isolated M1-C3 via bypass to prevent thermal runaway. Load was successfully redistributed to healthy cells M2-C1 and M3-C5.\",\n \"recommendation\": \"Monitor the temperature of adjacent cells in Module 1. If the trend continues, schedule a physical inspection of the module's cooling apparatus.\"\n}\n`;\n\n// --- Simulation Logic ---\nfunction getRandom(min: number, max: number): number {\n return Math.random() * (max - min) + min;\n}\n\nfunction driftValue(currentValue, baseValue, maxDriftPercentage) {\n const maxDrift = baseValue * (maxDriftPercentage / 100);\n const drift = (Math.random() - 0.5) * 2 * maxDrift;\n let newValue = currentValue + drift;\n if (Math.random() < 0.3) newValue += (baseValue - newValue) * 0.1;\n return newValue;\n}\n\nasync function handleScenarioRequest(scenario: Scenario) {\n activeScenario = scenario;\n scenarioEndTime = Date.now() + 15000; // Scenarios last 15 seconds\n if (scenario === \"CascadingFailure\" || scenario === \"SensorGlitch\") {\n // Pick a random active cell to be the epicenter\n const activeCells = CELL_IDS.filter((id) =>\n allCellsLastStates[id]?.status === \"Active\"\n );\n if (activeCells.length > 0) {\n scenarioTargetCell =\n activeCells[Math.floor(Math.random() * activeCells.length)];\n }\n } else {\n scenarioTargetCell = null;\n }\n return { success: true, message: `Scenario '${scenario}' triggered.` };\n}\n\nasync function handleTriageRequest(cellId: string) {\n const cellState = allCellsLastStates[cellId];\n if (cellState && cellState.status === \"Bypassed\") {\n cellState.status = \"Triage\";\n cellState.triageUntil = Date.now() + TRIAGE_DURATION_MS;\n return { success: true, message: `Cell ${cellId} is now in triage.` };\n }\n return {\n success: false,\n message: \"Cell not found or not in a bypass state.\",\n };\n}\n\nasync function generateTelemetryDataBatch(): Promise {\n let newRebalancingAction: RebalancingAction | null = null;\n let scenarioEvent: ScenarioEvent | null = null;\n const now = Date.now();\n\n // 1. Process Scenarios\n if (activeScenario !== \"None\" && scenarioEndTime && now > scenarioEndTime) {\n scenarioEvent = {\n scenarioName: activeScenario,\n description: `Scenario '${activeScenario}' has concluded.`,\n timestamp: new Date().toISOString(),\n };\n activeScenario = \"None\";\n scenarioEndTime = null;\n scenarioTargetCell = null;\n }\n\n // 2. Process Triage & Anomaly Detection\n CELL_IDS.forEach((id) => {\n const state = allCellsLastStates[id];\n if (\n state && state.status === \"Triage\" && state.triageUntil &&\n now >= state.triageUntil\n ) {\n state.triageUntil = null;\n state.status = Math.random() < (state.soh / 100) ? \"Active\" : \"Dead\";\n }\n });\n\n const anomalousCellId = CELL_IDS.find((id) => {\n const state = allCellsLastStates[id];\n return state && state.status === \"Active\" && (\n (state.lastValues.temperature ?? 0) >\n DEFAULT_CELL_CONFIG.temperature.anomalyHigh! ||\n (state.lastValues.voltage ?? 0) < DEFAULT_CELL_CONFIG.voltage.anomalyLow!\n );\n });\n\n if (anomalousCellId) {\n const state = allCellsLastStates[anomalousCellId]!;\n state.status = \"Bypassed\";\n const anomalyType =\n (state.lastValues.temperature ?? 0) >\n DEFAULT_CELL_CONFIG.temperature.anomalyHigh!\n ? \"Overheat\"\n : \"Undervolt\";\n\n if (activeScenario === \"CascadingFailure\") {\n const [mod, cellNumStr] = anomalousCellId.replace(\"M\", \"\").split(\"-C\");\n const cellNum = parseInt(cellNumStr);\n const neighbors = [`M${mod}-C${cellNum - 1}`, `M${mod}-C${cellNum + 1}`];\n neighbors.forEach((nid) => {\n if (allCellsLastStates[nid]) allCellsLastStates[nid]!.heatStress += 15;\n });\n }\n\n const healthyCells = CELL_IDS\n .map((id) => ({ id, state: allCellsLastStates[id] }))\n .filter((c) => c.state && c.state.status === \"Active\")\n .sort((a, b) => b.state!.soh - a.state!.soh)\n .slice(0, 3)\n .map((c) => c.id);\n\n healthyCells.forEach((id) => {\n if (allCellsLastStates[id]) {\n allCellsLastStates[id]!.status = \"Compensating\";\n }\n });\n\n newRebalancingAction = {\n triggeringCellId: anomalousCellId,\n anomalyType: anomalyType,\n compensatingCellIds: healthyCells,\n actionTimestamp: new Date().toISOString(),\n };\n }\n\n // 3. Generate Readings\n const liveTelemetryBatch: CellReading[] = [];\n let totalPower = 0;\n\n for (const id of CELL_IDS) {\n if (!allCellsLastStates[id]) {\n const initialSoh = getRandom(95, 100);\n allCellsLastStates[id] = {\n lastValues: { stateOfHealth: initialSoh },\n status: \"Active\",\n soh: initialSoh,\n triageUntil: null,\n heatStress: 0,\n };\n }\n const state = allCellsLastStates[id]!;\n\n if (\n state.status === \"Compensating\" &&\n !newRebalancingAction?.compensatingCellIds.includes(id)\n ) {\n state.status = \"Active\";\n }\n state.heatStress = Math.max(0, state.heatStress - 0.5); // cool down\n\n const generatedMetrics: CellReading[\"metrics\"] =\n {} as CellReading[\"metrics\"];\n const currentMetricValues: CellMetricsLastValues = {};\n\n if (\n state.status === \"Dead\" || state.status === \"Bypassed\" ||\n state.status === \"Triage\"\n ) {\n generatedMetrics.voltage = {\n value: state.status === \"Dead\" ? 0 : 3.6,\n unit: \"V\",\n };\n generatedMetrics.temperature = { value: 22, unit: \"°C\" };\n generatedMetrics.current = { value: 0, unit: \"A\" };\n } else {\n Object.entries(DEFAULT_CELL_CONFIG).forEach(([key, metricConfig]) => {\n if (key === \"stateOfHealth\") return;\n const lastVal = state.lastValues[key] ?? metricConfig.base;\n let base = metricConfig.base;\n if (state.status === \"Compensating\") {\n if (key === \"current\") base *= 1.6;\n if (key === \"temperature\") base += 8;\n }\n if (activeScenario === \"SuddenOverload\") {\n if (key === \"current\") base *= 3;\n }\n if (key === \"temperature\") base += state.heatStress;\n\n let currentVal = driftValue(\n lastVal,\n base,\n metricConfig.maxDriftPercentage,\n );\n if (\n activeScenario === \"SensorGlitch\" && id === scenarioTargetCell &&\n Math.random() < 0.5\n ) {\n if (key === \"temperature\") currentVal = 250;\n if (key === \"voltage\") currentVal = 0.1;\n }\n\n currentVal = Math.max(\n metricConfig.minNormal,\n Math.min(metricConfig.maxNormal, currentVal),\n );\n generatedMetrics[key] = {\n value: parseFloat(currentVal.toFixed(2)),\n unit: metricConfig.unit,\n };\n currentMetricValues[key] = currentVal;\n });\n totalPower += (currentMetricValues.voltage ?? 0) *\n (currentMetricValues.current ?? 0);\n }\n\n if (state.status === \"Active\" || state.status === \"Compensating\") {\n const degradation = state.status === \"Compensating\" ? 0.0005 : 0.0001;\n state.soh -= degradation * Math.random();\n }\n generatedMetrics.stateOfHealth = {\n value: parseFloat(state.soh.toFixed(2)),\n unit: \"%\",\n };\n currentMetricValues.stateOfHealth = state.soh;\n state.lastValues = currentMetricValues;\n\n liveTelemetryBatch.push({\n cellId: id,\n timestamp: new Date().toISOString(),\n status: state.status,\n metrics: generatedMetrics,\n });\n }\n\n return {\n cellIds: CELL_IDS,\n batch: liveTelemetryBatch,\n action: newRebalancingAction,\n totalPower,\n scenarioEvent,\n };\n}\n\n// --- HTML Page Template ---\nfunction getDashboardHtml(): string {\n return `\n\n\n\n \n \n Retro BMS Console\n \n \n \n \n \n \n \n\n\n

BMS Retro Console

> Pack Layout & Status_

> Total Power Output_

\n --kW\n

\n\n

> Scenario Simulation_

\n \n \n \n

\n\n

> System Event Log_

Awaiting system events...

> AI Anomaly Analyst_

No anomalies detected. System nominal.

\n\n

\n\n \n\n`;\n}\n\n// --- Val Town HTTP Handler ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const { searchParams } = url;\n\n if (req.method === \"POST\") {\n const action = searchParams.get(\"action\");\n if (action === \"triage\") {\n const cellId = searchParams.get(\"cellId\");\n if (cellId) {\n const result = await handleTriageRequest(cellId);\n return new Response(JSON.stringify(result), {\n status: result.success ? 200 : 400,\n });\n }\n }\n if (action === \"scenario\") {\n const type = searchParams.get(\"type\") as Scenario;\n if (type) {\n const result = await handleScenarioRequest(type);\n return new Response(JSON.stringify(result));\n }\n }\n if (action === \"analyze\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: AI_ANALYST_PROMPT },\n { role: \"user\", content: JSON.stringify(body) },\n ],\n response_format: { type: \"json_object\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n return new Response(JSON.stringify({ error: \"AI analysis failed\" }), {\n status: 500,\n });\n }\n }\n }\n\n if (searchParams.get(\"data\") === \"true\") {\n const telemetryPayload = await generateTelemetryDataBatch();\n return new Response(JSON.stringify(telemetryPayload), {\n headers: {\n \"Content-Type\": \"application/json\",\n \"Cache-Control\": \"no-cache\",\n },\n });\n }\n\n return new Response(getDashboardHtml(), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n}","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n\n// --- Type Definitions ---\ninterface MetricParameter {\n base: number;\n minNormal: number;\n maxNormal: number;\n anomalyHigh?: number;\n anomalyLow?: number;\n unit: string;\n maxDriftPercentage: number;\n}\n\ninterface CellMetricsConfiguration {\n voltage: MetricParameter;\n temperature: MetricParameter;\n current: MetricParameter;\n stateOfHealth: MetricParameter;\n}\n\ntype CellStatus = \"Active\" | \"Bypassed\" | \"Compensating\" | \"Triage\" | \"Dead\";\n\ninterface CellReading {\n cellId: string;\n timestamp: string;\n status: CellStatus;\n metrics: {\n voltage: { value: number; unit: string };\n temperature: { value: number; unit: string };\n current: { value: number; unit: string };\n stateOfHealth: { value: number; unit: string };\n };\n}\n\ninterface RebalancingAction {\n triggeringCellId: string;\n anomalyType: string;\n compensatingCellIds: string[];\n actionTimestamp: string;\n}\n\ninterface ScenarioEvent {\n scenarioName: string;\n description: string;\n timestamp: string;\n}\n\ninterface TelemetryPayload {\n cellIds: string[];\n batch: CellReading[];\n action: RebalancingAction | null;\n scenarioEvent: ScenarioEvent | null;\n totalPower: number;\n}\n\ntype CellMetricsLastValues = {\n [metricKey in keyof CellMetricsConfiguration]?: number;\n};\n\ntype CellPersistentState = {\n lastValues: CellMetricsLastValues;\n status: CellStatus;\n soh: number;\n triageUntil: number | null;\n heatStress: number; // A new metric for cascading failures\n};\n\ntype AllCellsLastStates = {\n [cellId: string]: CellPersistentState | undefined;\n};\n\ntype Scenario = \"None\" | \"SuddenOverload\" | \"CascadingFailure\" | \"SensorGlitch\";\n\n// --- Configuration & State ---\nconst DEFAULT_CELL_CONFIG: CellMetricsConfiguration = {\n voltage: {\n base: 3.7,\n minNormal: 3.2,\n maxNormal: 4.2,\n anomalyHigh: 4.25,\n anomalyLow: 3.0,\n unit: \"V\",\n maxDriftPercentage: 0.5,\n },\n temperature: {\n base: 28,\n minNormal: 15,\n maxNormal: 45,\n anomalyHigh: 60,\n anomalyLow: 10,\n unit: \"°C\",\n maxDriftPercentage: 3,\n },\n current: {\n base: 2.5,\n minNormal: -5,\n maxNormal: 5,\n anomalyHigh: 8,\n unit: \"A\",\n maxDriftPercentage: 15,\n },\n stateOfHealth: {\n base: 99,\n minNormal: 80,\n maxNormal: 100,\n anomalyLow: 79,\n unit: \"%\",\n maxDriftPercentage: 0,\n },\n};\n\nconst NUM_MODULES = 3;\nconst CELLS_PER_MODULE = 8;\nconst TRIAGE_DURATION_MS = 10000;\nconst CELL_IDS: string[] = Array.from(\n { length: NUM_MODULES * CELLS_PER_MODULE },\n (_, i) =>\n `M${Math.floor(i / CELLS_PER_MODULE) + 1}-C${(i % CELLS_PER_MODULE) + 1}`,\n);\n\nlet allCellsLastStates: AllCellsLastStates = {};\nlet activeScenario: Scenario = \"None\";\nlet scenarioTargetCell: string | null = null;\nlet scenarioEndTime: number | null = null;\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst AI_ANALYST_PROMPT = `\nYou are an expert AI Battery Systems Engineer. Your task is to provide a concise, professional analysis of a battery management system event.\nYou will be given the context of an anomaly. Your response must be a structured analysis that a technician could use.\nRespond ONLY with a single, minified JSON object with three keys: \"cause\", \"consequence\", and \"recommendation\".\n- \"cause\": A brief, likely technical reason for the event based on the data.\n- \"consequence\": The immediate action the BMS took and its effect on the system.\n- \"recommendation\": A single, actionable next step for monitoring or maintenance.\n\nExample Input: { \"anomalyType\": \"Overheat\", \"triggeringCell\": \"M1-C3\", \"compensatingCells\": [\"M2-C1\", \"M3-C5\"] }\nExample Output: {\n \"cause\": \"Cell M1-C3 exceeded its thermal threshold, likely due to sustained high discharge or localized cooling inefficiency.\",\n \"consequence\": \"The BMS correctly isolated M1-C3 via bypass to prevent thermal runaway. Load was successfully redistributed to healthy cells M2-C1 and M3-C5.\",\n \"recommendation\": \"Monitor the temperature of adjacent cells in Module 1. If the trend continues, schedule a physical inspection of the module's cooling apparatus.\"\n}\n`;\n\n// --- Simulation Logic (Unchanged) ---\nfunction getRandom(min: number, max: number): number {\n return Math.random() * (max - min) + min;\n}\n\nfunction driftValue(currentValue, baseValue, maxDriftPercentage) {\n const maxDrift = baseValue * (maxDriftPercentage / 100);\n const drift = (Math.random() - 0.5) * 2 * maxDrift;\n let newValue = currentValue + drift;\n if (Math.random() < 0.3) newValue += (baseValue - newValue) * 0.1;\n return newValue;\n}\n\nasync function handleScenarioRequest(scenario: Scenario) {\n activeScenario = scenario;\n scenarioEndTime = Date.now() + 15000; // Scenarios last 15 seconds\n if (scenario === \"CascadingFailure\" || scenario === \"SensorGlitch\") {\n const activeCells = CELL_IDS.filter((id) =>\n allCellsLastStates[id]?.status === \"Active\"\n );\n if (activeCells.length > 0) {\n scenarioTargetCell =\n activeCells[Math.floor(Math.random() * activeCells.length)];\n }\n } else {\n scenarioTargetCell = null;\n }\n return { success: true, message: `Scenario '${scenario}' triggered.` };\n}\n\nasync function handleTriageRequest(cellId: string) {\n const cellState = allCellsLastStates[cellId];\n if (cellState && cellState.status === \"Bypassed\") {\n cellState.status = \"Triage\";\n cellState.triageUntil = Date.now() + TRIAGE_DURATION_MS;\n return { success: true, message: `Cell ${cellId} is now in triage.` };\n }\n return {\n success: false,\n message: \"Cell not found or not in a bypass state.\",\n };\n}\n\nasync function generateTelemetryDataBatch(): Promise {\n let newRebalancingAction: RebalancingAction | null = null;\n let scenarioEvent: ScenarioEvent | null = null;\n const now = Date.now();\n\n if (activeScenario !== \"None\" && scenarioEndTime && now > scenarioEndTime) {\n scenarioEvent = {\n scenarioName: activeScenario,\n description: `Scenario '${activeScenario}' has concluded.`,\n timestamp: new Date().toISOString(),\n };\n activeScenario = \"None\";\n scenarioEndTime = null;\n scenarioTargetCell = null;\n }\n\n CELL_IDS.forEach((id) => {\n const state = allCellsLastStates[id];\n if (\n state && state.status === \"Triage\" && state.triageUntil &&\n now >= state.triageUntil\n ) {\n state.triageUntil = null;\n state.status = Math.random() < (state.soh / 100) ? \"Active\" : \"Dead\";\n }\n });\n\n const anomalousCellId = CELL_IDS.find((id) => {\n const state = allCellsLastStates[id];\n return state && state.status === \"Active\" && (\n (state.lastValues.temperature ?? 0) >\n DEFAULT_CELL_CONFIG.temperature.anomalyHigh! ||\n (state.lastValues.voltage ?? 0) < DEFAULT_CELL_CONFIG.voltage.anomalyLow!\n );\n });\n\n if (anomalousCellId) {\n const state = allCellsLastStates[anomalousCellId]!;\n state.status = \"Bypassed\";\n const anomalyType = (state.lastValues.temperature ?? 0) >\n DEFAULT_CELL_CONFIG.temperature.anomalyHigh!\n ? \"Overheat\"\n : \"Undervolt\";\n\n if (activeScenario === \"CascadingFailure\") {\n const [mod, cellNumStr] = anomalousCellId.replace(\"M\", \"\").split(\"-C\");\n const cellNum = parseInt(cellNumStr);\n const neighbors = [`M${mod}-C${cellNum - 1}`, `M${mod}-C${cellNum + 1}`];\n neighbors.forEach((nid) => {\n if (allCellsLastStates[nid]) allCellsLastStates[nid]!.heatStress += 15;\n });\n }\n\n const healthyCells = CELL_IDS\n .map((id) => ({ id, state: allCellsLastStates[id] }))\n .filter((c) => c.state && c.state.status === \"Active\")\n .sort((a, b) => b.state!.soh - a.state!.soh)\n .slice(0, 3)\n .map((c) => c.id);\n\n healthyCells.forEach((id) => {\n if (allCellsLastStates[id]) {\n allCellsLastStates[id]!.status = \"Compensating\";\n }\n });\n\n newRebalancingAction = {\n triggeringCellId: anomalousCellId,\n anomalyType: anomalyType,\n compensatingCellIds: healthyCells,\n actionTimestamp: new Date().toISOString(),\n };\n }\n\n const liveTelemetryBatch: CellReading[] = [];\n let totalPower = 0;\n\n for (const id of CELL_IDS) {\n if (!allCellsLastStates[id]) {\n const initialSoh = getRandom(95, 100);\n allCellsLastStates[id] = {\n lastValues: { stateOfHealth: initialSoh },\n status: \"Active\",\n soh: initialSoh,\n triageUntil: null,\n heatStress: 0,\n };\n }\n const state = allCellsLastStates[id]!;\n\n if (\n state.status === \"Compensating\" &&\n !newRebalancingAction?.compensatingCellIds.includes(id)\n ) {\n state.status = \"Active\";\n }\n state.heatStress = Math.max(0, state.heatStress - 0.5);\n\n const generatedMetrics: CellReading[\"metrics\"] =\n {} as CellReading[\"metrics\"];\n const currentMetricValues: CellMetricsLastValues = {};\n\n if (\n state.status === \"Dead\" || state.status === \"Bypassed\" ||\n state.status === \"Triage\"\n ) {\n generatedMetrics.voltage = {\n value: state.status === \"Dead\" ? 0 : 3.6,\n unit: \"V\",\n };\n generatedMetrics.temperature = { value: 22, unit: \"°C\" };\n generatedMetrics.current = { value: 0, unit: \"A\" };\n } else {\n Object.entries(DEFAULT_CELL_CONFIG).forEach(([key, metricConfig]) => {\n if (key === \"stateOfHealth\") return;\n const lastVal = state.lastValues[key] ?? metricConfig.base;\n let base = metricConfig.base;\n if (state.status === \"Compensating\") {\n if (key === \"current\") base *= 1.6;\n if (key === \"temperature\") base += 8;\n }\n if (activeScenario === \"SuddenOverload\") {\n if (key === \"current\") base *= 3;\n }\n if (key === \"temperature\") base += state.heatStress;\n\n let currentVal = driftValue(\n lastVal,\n base,\n metricConfig.maxDriftPercentage,\n );\n if (\n activeScenario === \"SensorGlitch\" && id === scenarioTargetCell &&\n Math.random() < 0.5\n ) {\n if (key === \"temperature\") currentVal = 250;\n if (key === \"voltage\") currentVal = 0.1;\n }\n\n currentVal = Math.max(\n metricConfig.minNormal,\n Math.min(metricConfig.maxNormal, currentVal),\n );\n generatedMetrics[key] = {\n value: parseFloat(currentVal.toFixed(2)),\n unit: metricConfig.unit,\n };\n currentMetricValues[key] = currentVal;\n });\n totalPower += (currentMetricValues.voltage ?? 0) *\n (currentMetricValues.current ?? 0);\n }\n\n if (state.status === \"Active\" || state.status === \"Compensating\") {\n const degradation = state.status === \"Compensating\" ? 0.0005 : 0.0001;\n state.soh -= degradation * Math.random();\n }\n generatedMetrics.stateOfHealth = {\n value: parseFloat(state.soh.toFixed(2)),\n unit: \"%\",\n };\n currentMetricValues.stateOfHealth = state.soh;\n state.lastValues = currentMetricValues;\n\n liveTelemetryBatch.push({\n cellId: id,\n timestamp: new Date().toISOString(),\n status: state.status,\n metrics: generatedMetrics,\n });\n }\n\n return {\n cellIds: CELL_IDS,\n batch: liveTelemetryBatch,\n action: newRebalancingAction,\n totalPower,\n scenarioEvent,\n };\n}\n\n// --- Modern HTML Page Template ---\nfunction getDashboardHtml(): string {\n return `\n\n\n\n \n \n BMS Pro Dashboard\n \n \n \n \n \n \n \n\n\n

BMS Pro Dashboard

\n \n

Pack Layout & Status

Total Power Output

\n --.--kW\n

\n\n

\n \n \n \n

\n\n

System Event Log

Awaiting system events...

AI Anomaly Analyst

No anomalies detected. System nominal.

\n\n

\n\n \n\n`;\n}\n\n// --- Val Town HTTP Handler (Unchanged) ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const { searchParams } = url;\n\n if (req.method === \"POST\") {\n const action = searchParams.get(\"action\");\n if (action === \"triage\") {\n const cellId = searchParams.get(\"cellId\");\n if (cellId) {\n const result = await handleTriageRequest(cellId);\n return new Response(JSON.stringify(result), {\n status: result.success ? 200 : 400,\n });\n }\n }\n if (action === \"scenario\") {\n const type = searchParams.get(\"type\") as Scenario;\n if (type) {\n const result = await handleScenarioRequest(type);\n return new Response(JSON.stringify(result));\n }\n }\n if (action === \"analyze\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: AI_ANALYST_PROMPT },\n { role: \"user\", content: JSON.stringify(body) },\n ],\n response_format: { type: \"json_object\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n return new Response(JSON.stringify({ error: \"AI analysis failed\" }), {\n status: 500,\n });\n }\n }\n }\n\n if (searchParams.get(\"data\") === \"true\") {\n const telemetryPayload = await generateTelemetryDataBatch();\n return new Response(JSON.stringify(telemetryPayload), {\n headers: {\n \"Content-Type\": \"application/json\",\n \"Cache-Control\": \"no-cache\",\n },\n });\n }\n\n return new Response(getDashboardHtml(), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n}","createdAt",["D",1759252772384],"branchVersion","branchId","a2fd3900-9e09-11f0-959a-0224a6c84d84","id","a2fccfec-9e09-11f0-959a-0224a6c84d84","bms",["D",1759242467481],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","0199195d-a0b5-724d-9d5d-dbafc8ffb0d1","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","0199195d-a0b5-724d-9d5d-ded08af9068c","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_95":94,"_102":98},"org",{"_95":94,"_96":-5,"_97":98,"_18":54,"_99":100,"_101":25},"branch",{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"isOwned",40,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","realtime","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzMySEFWaDMxNUQzTGRXZmdqRGRxZVhBT0pqcyJ9","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":150,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":31,"_56":57,"_58":57,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":151,"_79":152,"_81":153,"_83":25},"tree",[145],"files",[145],"counts",{"_133":61,"_134":135,"_136":137,"_138":139,"_140":141},"contents",[125],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":126,"_32":28,"_30":31,"_127":-5,"_41":42,"_40":14,"_128":25,"_38":129,"_13":130,"_33":34,"_35":37,"_24":25,"_131":45,"_27":132},"a1315ce2-9e21-11f0-a518-0224a6c84d84","parentId","latest",["D",1759252772384],7,"label",[28],"pulls","branches",1,"forks",2,"envVars",{"_142":61,"_144":61},"connections",{"_142":61,"_143":61},"count","unfilledCount","emptyCount",{"_43":126,"_32":28,"_30":31,"_127":-5,"_41":42,"_40":14,"_128":25,"_38":146,"_13":130,"_33":34,"_35":37,"_24":25,"_131":45,"_147":148,"_27":149},["D",1759252772384],"children",[],[28],["D",1759242467481],{"_95":94,"_102":98},{"_95":94,"_96":-5,"_97":98,"_18":54,"_99":100,"_101":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"ctx",{"_77":-5,"_122":187,"_188":189,"_190":191,"_192":25,"_193":25,"_194":25,"_195":57,"_196":-5,"_197":-7,"_198":-7,"_199":61,"_200":25,"_201":25,"_202":-5,"_203":25,"_204":25,"_205":25,"_206":-5},"ENV",{"_158":159,"_160":161,"_162":85,"_163":164,"_165":166,"_167":168,"_169":170,"_171":172,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184,"_185":186},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","5015b8df46402d8bba4f485ecc37aec202b0e06b","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v8