[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_153":154,"_155":156},"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",21,"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","8a20dbf6-b099-11f0-962d-0224a6c84d84","name","fileType","http","content","import { Hono } from \"npm:hono\";\nimport { zValidator } from \"npm:@hono/zod-validator\";\nimport { validator } from \"npm:hono/validator\";\nimport { z } from \"npm:zod\";\n\nconst RiskPreference = z.enum([\"Defensive\", \"Balanced\", \"Growth\"]);\ntype RiskPreference = z.infer;\n\nconst ProjectionRequest = z.object({\n date_of_birth: z.iso.date().transform((v) => new Date(v)),\n current_assets: z.number().nonnegative(),\n savings: z.number().nonnegative(),\n expenses: z.number().nonnegative(),\n risk_preference: RiskPreference,\n});\n\ntype ProjectionRequest = z.infer;\n\n// --- 2. Define Risk Preference Rates ---\nconst risk_rates: Record = {\n \"Defensive\": 0.03,\n \"Balanced\": 0.05,\n \"Growth\": 0.07,\n};\n\nconst app = new Hono();\n\napp.get(\"/\", (c) => {\n return c.json({\n title: \"Financial Projection API\",\n description: \"An API to project future assets based on user inputs.\",\n version: \"1.0.0\",\n endpoints: {\n POST: \"/projection\",\n },\n });\n});\n\n// --- API Endpoint ---\n\napp.post(\"/projection\", zValidator(\"json\", ProjectionRequest), async (c) => {\n try {\n const request = await c.req.json();\n\n const today = new Date();\n let current_age = today.getFullYear() - birth_date.getFullYear();\n const monthDiff = today.getMonth() - birth_date.getMonth();\n const dayDiff = today.getDate() - birth_date.getDate();\n\n if (monthDiff < 0 || (monthDiff === 0 && dayDiff < 0)) {\n current_age--;\n }\n\n const risk_rate = risk_rates[request.risk_preference];\n\n // --- 3. Initialize Data Structures ---\n const age_vector: number[] = [];\n const assets_projection: number[] = [];\n\n // The first value in the projection is the starting assets at the current age\n let last_year_assets = request.current_assets;\n\n // --- 4. Set Up and Run Projection Loop ---\n for (let age = current_age; age <= 110; age++) {\n age_vector.push(age);\n\n // --- 5. Apply Conditional Savings and Expenses Logic ---\n let annual_savings: number;\n let annual_expenses: number;\n\n if (age <= 67) {\n annual_savings = request.savings;\n annual_expenses = 0.0;\n } else {\n // Age is greater than 67\n annual_savings = 0.0;\n annual_expenses = request.expenses;\n }\n\n // For the very first year, we just use the starting assets\n let current_year_assets: number;\n if (age === current_age) {\n current_year_assets = last_year_assets;\n } else {\n // --- 6. Implement Financial Formula ---\n current_year_assets = last_year_assets * (1 + risk_rate) +\n annual_savings - annual_expenses;\n }\n\n // Add the rounded result to our projection list\n assets_projection.push(Math.round(current_year_assets * 100) / 100);\n\n // Update the value for the next iteration\n last_year_assets = current_year_assets;\n }\n\n const response: ProjectionResponse = {\n age: age_vector,\n assets: assets_projection,\n };\n\n return c.json(response);\n } catch (error) {\n return c.json(\n {\n error: \"Internal server error\",\n details: error instanceof Error ? error.message : String(error),\n },\n 500,\n );\n }\n});\n\n// --- Error Handler ---\n\napp.onError((err, c) => {\n console.error(\"Application error:\", err);\n return c.json(\n {\n error: \"Internal server error\",\n },\n 500,\n );\n});\n\n// Learn more: https://docs.val.town/vals/http/\nexport default function (req: Request): Promise {\n return app.fetch(req);\n}","import { Hono } from \"npm:hono\";\nimport { zValidator } from \"npm:@hono/zod-validator\";\nimport { validator } from \"npm:hono/validator\";\nimport { z } from \"npm:zod\";\n\nconst RiskPreference = z.enum([\"Defensive\", \"Balanced\", \"Growth\"]);\ntype RiskPreference = z.infer;\n\nconst ProjectionRequest = z.object({\n date_of_birth: z.iso.date().transform((v) => new Date(v)),\n current_assets: z.number().nonnegative(),\n savings: z.number().nonnegative(),\n expenses: z.number().nonnegative(),\n risk_preference: RiskPreference,\n});\n\ntype ProjectionRequest = z.infer;\n\n// --- 2. Define Risk Preference Rates ---\nconst risk_rates: Record = {\n \"Defensive\": 0.03,\n \"Balanced\": 0.05,\n \"Growth\": 0.07,\n};\n\nconst app = new Hono();\n\napp.get(\"/\", (c) => {\n return c.json({\n title: \"Financial Projection API\",\n description: \"An API to project future assets based on user inputs.\",\n version: \"1.0.0\",\n endpoints: {\n POST: \"/projection\",\n },\n });\n});\n\n// --- API Endpoint ---\n\napp.post(\"/projection\", zValidator(\"json\", ProjectionRequest), async (c) => {\n try {\n const {\n date_of_birth,\n risk_preference,\n savings,\n current_assets,\n expenses,\n } = c.req.valid(\"json\");\n\n const today = new Date();\n let current_age = today.getFullYear() - date_of_birth.getFullYear();\n const monthDiff = today.getMonth() - date_of_birth.getMonth();\n const dayDiff = today.getDate() - date_of_birth.getDate();\n\n if (monthDiff < 0 || (monthDiff === 0 && dayDiff < 0)) {\n current_age--;\n }\n\n const risk_rate = risk_rates[risk_preference];\n\n // --- 3. Initialize Data Structures ---\n const age_vector: number[] = [];\n const assets_projection: number[] = [];\n\n // The first value in the projection is the starting assets at the current age\n let last_year_assets = current_assets;\n\n // --- 4. Set Up and Run Projection Loop ---\n for (let age = current_age; age <= 110; age++) {\n age_vector.push(age);\n\n // --- 5. Apply Conditional Savings and Expenses Logic ---\n let annual_savings: number;\n let annual_expenses: number;\n\n if (age <= 67) {\n annual_savings = savings;\n annual_expenses = 0.0;\n } else {\n // Age is greater than 67\n annual_savings = 0.0;\n annual_expenses = expenses;\n }\n\n // For the very first year, we just use the starting assets\n let current_year_assets: number;\n if (age === current_age) {\n current_year_assets = last_year_assets;\n } else {\n // --- 6. Implement Financial Formula ---\n current_year_assets = last_year_assets * (1 + risk_rate) +\n annual_savings - annual_expenses;\n }\n\n // Add the rounded result to our projection list\n assets_projection.push(Math.round(current_year_assets * 100) / 100);\n\n // Update the value for the next iteration\n last_year_assets = current_year_assets;\n }\n\n const response = {\n age: age_vector,\n assets: assets_projection,\n };\n\n return c.json(response);\n } catch (error) {\n return c.json(\n {\n error: \"Internal server error\",\n details: error instanceof Error ? error.message : String(error),\n },\n 500,\n );\n }\n});\n\n// --- Error Handler ---\n\napp.onError((err, c) => {\n console.error(\"Application error:\", err);\n return c.json(\n {\n error: \"Internal server error\",\n },\n 500,\n );\n});\n\n// Learn more: https://docs.val.town/vals/http/\nexport default function (req: Request): Response | Promise {\n return 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Diff · v21