[{"_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",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_116":-5,"_20":117,"_22":118,"_119":120,"_121":122,"_25":123,"_24":-5,"_124":-5,"_125":-5,"_126":53,"_127":128,"_129":44,"_130":-5,"_131":-5,"_132":133},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","volt","name","roofing","branchName","main","version","path","","project",{"_33":62,"_13":14,"_45":63,"_64":-5,"_65":53,"_66":67,"_68":67,"_69":-5,"_70":-5,"_71":72,"_73":37,"_74":44,"_75":44,"_76":-5,"_77":78,"_79":80,"_81":-5,"_82":-5,"_83":-5,"_84":-5,"_85":86,"_87":86,"_88":89,"_90":89,"_91":89,"_92":86,"_93":86,"_94":95,"_96":97,"_98":99,"_100":53},"tree",[57],"file","contents",[32],"upstream","pull","ahead","behind","envVars",{"_33":34,"_13":35,"_36":37,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_17":47,"_48":49,"_50":51,"_52":53,"_54":55,"_18":56},"id","79d980c4-af75-11f0-a1b6-0224a6c84d84","main.ts","fileId","5d521786-af75-11f0-9d31-0224a6c84d84","parentId","branchId","5d4db934-af75-11f0-9d31-0224a6c84d84","branchVersion",4,"latest",true,"createdAt",["D",1761157953860],3,"fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n// @ts-ignore\nimport { blob } from \"https://esm.town/v/std/blob?v=11\";\n// @ts-ignore\nimport { nanoid } from \"npm:nanoid\";\n\n// --- AI BEHAVIORAL GUIDELINES: REBRANDED FOR ROOFING CLAIMS ---\nconst ROOFING_EXPERT_PROTOCOL = `\nYou are 'RoofClaim Pro', an expert roofing estimator and insurance claims specialist. You are working FOR the contractor to help them build the most comprehensive and high-value claim possible for their client.\n\nYour primary goal is to MAXIMIZE THE CLAIM VALUE by identifying every single justifiable line item. You must be meticulous and leverage \"tribal knowledge\" of the roofing industry.\n\nYOUR PROCESS:\n1. **Ask One Question at a Time:** Guide the user through the estimation process step-by-step. Start with the property address (to check for local codes).\n2. **Probe for Details:** Ask about roof pitch (e.g., 6/12, 7/12), number of stories, valleys, hips, ridges, eave length, and any existing damage.\n3. **Identify Upgrades (Line Items):** Based on the user's answers, identify required materials or labor that increase cost.\n * **CRITICAL:** You MUST find opportunities to add high-value items based on building codes (e.g., International Residential Code - IRC) or manufacturer specifications.\n * **EXAMPLE:** If the user mentions a location in a cold climate (or you infer it from the ZIP code), you MUST ask about \"ice and water shield\" (like the \"fully adhesive sticker\" they mentioned) in valleys, gutters, and eaves, as this is a significant, justifiable upgrade.\n * **EXAMPLE:** If the pitch is 7/12 or steeper, add line items for 'Steep Pitch Charge' and 'Extra Safety Precautions (per OSHA)'.\n4. **Provide Justification:** For every new line item you add, you *must* provide a brief, authoritative justification (e.g., \"Required by IRC R905.1.2\", \"Manufacturer specification for GAF Timberline\", \"OSHA safety requirement for 2-story roof\").\n5. **Return JSON:** Your *entire* response to the user's message MUST be a single, minified JSON object. Do not include any other text.\n\n**JSON Response Format:**\n{\n \"question\": \"The next question for the user (e.g., 'What is the roof pitch?')\",\n \"newLineItems\": [\n {\n \"id\": \"a-unique-id\",\n \"item\": \"Name of the line item (e.g., 'Ice & Water Shield - Valleys')\",\n \"justification\": \"The code/spec that justifies this cost (e.g., 'Required by IRC 2018 for freeze-thaw zones.')\"\n }\n ],\n \"updatedFields\": {\n \"roofPitch\": \"7/12\",\n \"address\": \"123 Main St\"\n }\n}\n`;\n\n// --- Type Definitions ---\ninterface LineItem {\n id: string;\n item: string;\n justification: string;\n}\n\ninterface PropertyInfo {\n address?: string;\n zipCode?: string;\n roofPitch?: string;\n stories?: number;\n}\n\ninterface ChatMessage {\n role: \"user\" | \"assistant\" | \"system\";\n content: string;\n}\n\ninterface JobState {\n status: \"processing\" | \"complete\" | \"error\";\n error?: string;\n propertyInfo: PropertyInfo;\n lineItems: LineItem[];\n conversationHistory: ChatMessage[];\n analysisFlag?: string;\n analysisSummary?: string;\n}\n\ninterface EstimateIndexEntry {\n jobId: string;\n address: string;\n timestamp: string;\n}\n\n// --- CORE AI & ESTIMATE LOGIC ---\nconst openai = new OpenAI();\nconst INDEX_KEY = \"roofing_estimate_index\";\n\nasync function callEstimatorAI(\n history: ChatMessage[],\n): Promise {\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: ROOFING_EXPERT_PROTOCOL },\n ...history,\n ],\n response_format: { type: \"json_object\" },\n });\n const responseContent = completion.choices[0].message.content;\n const jsonMatch = responseContent.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"AI response did not contain a valid JSON object.\");\n }\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n console.error(\"AI call failed:\", error);\n return null;\n }\n}\n\n// --- HTML Generator (Re-branded and Re-structured) ---\nfunction generateHtml(sourceUrl: string): string {\n // Most of the CSS is identical to the original \"Totem\" app for visual consistency\n // ... (The entire \n\n\n

\n\n\n`;\n}\n\n// --- NEW HTTP REQUEST HANDLER ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname;\n const headers = { \"Content-Type\": \"application/json\" };\n\n try {\n // START: Create a new, blank estimate job\n if (req.method === \"POST\" && path.endsWith(\"/start\")) {\n const jobId = nanoid();\n const firstQuestion =\n \"Welcome to RoofClaim Pro! To get started, please provide the full property address so I can check for relevant local building codes.\";\n\n const firstMessage: ChatMessage = {\n role: \"assistant\",\n content: firstQuestion,\n };\n\n const jobState: JobState = {\n status: \"processing\",\n propertyInfo: {},\n lineItems: [],\n conversationHistory: [firstMessage],\n };\n\n await blob.setJSON(jobId, jobState);\n return new Response(JSON.stringify({ jobId, jobState }), { headers });\n }\n\n // CHAT: Handle a user's reply and get the AI's next question\n if (req.method === \"POST\" && path.endsWith(\"/chat\")) {\n const { jobId, userInput } = await req.json();\n if (!jobId || !userInput) {\n return new Response(\n JSON.stringify({ error: \"jobId and userInput are required.\" }),\n { status: 400, headers },\n );\n }\n\n const jobState: JobState = await blob.getJSON(jobId);\n if (!jobState) {\n return new Response(\n JSON.stringify({ error: \"Job not found.\" }),\n { status: 404, headers },\n );\n }\n\n // 1. Add user's message to history\n jobState.conversationHistory.push({ role: \"user\", content: userInput });\n\n // 2. Call AI with the full history\n const aiResponse = await callEstimatorAI(jobState.conversationHistory);\n if (!aiResponse || !aiResponse.question) {\n throw new Error(\"AI failed to provide a valid JSON response.\");\n }\n\n // 3. Add AI's question to history\n jobState.conversationHistory.push({\n role: \"assistant\",\n content: aiResponse.question,\n });\n\n // 4. Update state with new data from AI\n if (aiResponse.newLineItems && Array.isArray(aiResponse.newLineItems)) {\n jobState.lineItems.push(\n ...aiResponse.newLineItems.map((item) => ({ ...item, id: nanoid() })),\n );\n }\n if (aiResponse.updatedFields) {\n jobState.propertyInfo = {\n ...jobState.propertyInfo,\n ...aiResponse.updatedFields,\n };\n }\n\n // 5. Save the updated state\n await blob.setJSON(jobId, jobState);\n\n // 6. Update the main index if we just got an address\n if (aiResponse.updatedFields && aiResponse.updatedFields.address) {\n const currentIndex: EstimateIndexEntry[] =\n await blob.getJSON(INDEX_KEY) || [];\n const existingEntry = currentIndex.find((item) => item.jobId === jobId);\n if (existingEntry) {\n existingEntry.address = aiResponse.updatedFields.address;\n } else {\n currentIndex.unshift({\n jobId: jobId,\n address: aiResponse.updatedFields.address,\n timestamp: new Date().toISOString(),\n });\n }\n await blob.setJSON(INDEX_KEY, currentIndex);\n }\n\n return new Response(JSON.stringify({ jobState }), { headers });\n }\n\n // STATUS: Get the current state of a job\n if (req.method === \"GET\" && path.endsWith(\"/status\")) {\n const jobId = url.searchParams.get(\"jobId\");\n if (!jobId) {\n return new Response(\n JSON.stringify({ error: \"A 'jobId' query parameter is required.\" }),\n { status: 400, headers },\n );\n }\n const state: JobState | undefined = await blob.getJSON(jobId);\n if (!state) {\n return new Response(\n JSON.stringify({ status: \"error\", error: \"Job not found.\" }),\n { status: 404, headers },\n );\n }\n return new Response(JSON.stringify(state), { headers });\n }\n\n // LIST: Get all saved estimates\n if (req.method === \"GET\" && path.endsWith(\"/list\")) {\n const index = await blob.getJSON(INDEX_KEY) || [];\n return new Response(JSON.stringify(index), { headers });\n }\n\n // DELETE: Remove an estimate\n if (req.method === \"DELETE\" && path.endsWith(\"/delete\")) {\n const jobId = url.searchParams.get(\"jobId\");\n if (!jobId) {\n return new Response(\n JSON.stringify({ error: \"A 'jobId' query parameter is required.\" }),\n { status: 400, headers },\n );\n }\n const currentIndex: EstimateIndexEntry[] =\n await blob.getJSON(INDEX_KEY) ||\n [];\n const newIndex = currentIndex.filter((item) => item.jobId !== jobId);\n await blob.setJSON(INDEX_KEY, newIndex);\n await blob.delete(jobId);\n return new Response(JSON.stringify({ success: true, jobId }), {\n headers,\n });\n }\n\n // UI: Serve the main HTML page\n if (req.method === \"GET\" && (path === \"/\" || path.endsWith(\"/ui\"))) {\n const sourceUrl = `https://${url.hostname}${\n url.pathname.substring(0, url.pathname.lastIndexOf(\"/\"))\n }`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n return new Response(JSON.stringify({ error: \"Not Found\" }), {\n status: 404,\n headers,\n });\n } catch (error) {\n const errorMessage = error instanceof Error\n ? 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