[{"_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",9,"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.tsx","latestPath","fileId","6432d420-57fd-11f0-85bd-f69ea79377d9","name","fileType","http","content","// val: logger_http (type = \"HTTP\")\n// POST / → log record\n// GET /browse → simple HTML table of recent records\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite\"; // Val Town’s built-in client [oai_citation:0‡docs.val.town](https://docs.val.town/std/sqlite/usage/?utm_source=chatgpt.com)\n\n// ---------------------------------------------------------------------------\n// one-time helper: create table *and* expression indices if they don’t exist\n// ---------------------------------------------------------------------------\nasync function ensureSchema() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS logs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n timestamp TEXT NOT NULL,\n ip TEXT,\n data TEXT NOT NULL\n )\n `);\n\n /* Fast paths:\n - idx_logs_assignment → scans that check for presence of $.assignment\n - idx_logs_feedback → (uuid, assignment_title) look-ups for feedbacks\n */\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_logs_assignment\n ON logs( (json_extract(data,'$.assignment')) )`,\n );\n\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_logs_feedback\n ON logs(\n (json_extract(data,'$.uuid')),\n (json_extract(data,'$.assignment_title'))\n )`,\n );\n}\n\nexport default async function handler(req: Request): Promise {\n const { pathname } = new URL(req.url);\n\n // ---------- POST / → write log ----------\n if (req.method === \"POST\" && pathname === \"/\") {\n await ensureSchema(); // table & indices\n\n let body: unknown;\n try {\n body = await req.json();\n } catch {\n return new Response(\"Malformed JSON\", { status: 400 });\n }\n\n const ip = req.headers.get(\"x-forwarded-for\")?.split(\",\")[0]?.trim()\n ?? req.headers.get(\"x-real-ip\")\n ?? req.headers.get(\"cf-connecting-ip\")\n ?? \"unknown\";\n\n await sqlite.execute({\n sql: `INSERT INTO logs (timestamp, ip, data) VALUES (?, ?, ?)`,\n args: [new Date().toISOString(), ip, JSON.stringify(body)],\n });\n\n return Response.json({ status: \"ok\" });\n }\n\n // ---------- GET /browse → HTML list ----------\n if (req.method === \"GET\" && pathname === \"/browse\") {\n await ensureSchema();\n\n const result = await sqlite.execute(\n `SELECT id, timestamp, ip, data FROM logs ORDER BY id DESC`,\n );\n\n const rowsHtml = result.rows\n .map(([id, ts, ip, json]) => {\n // pretty-print data field if valid JSON\n let pretty = \"\";\n try {\n pretty = JSON.stringify(JSON.parse(json as string), null, 2);\n } catch {\n pretty = json as string;\n }\n return `\n ${id}\n ${ts}\n ${ip}\n

${pretty}

\n `;\n })\n .join(\"\");\n\n const html = `\n \n \n \n Logs\n \n \n \n

Logged requests

\n \n \n \n \n ${rowsHtml}\n

ID	Timestamp	IP	Data

\n \n `;\n\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n // ---------- GET /assignments → list of (id,title) ----------\n if (req.method === \"GET\" && pathname === \"/assignments\") {\n await ensureSchema();\n const r = await sqlite.execute(`\n SELECT id,\n json_extract(data,'$.results.title') AS title\n FROM logs\n WHERE json_extract(data,'$.assignment') IS NOT NULL\n ORDER BY id DESC\n `);\n return Response.json(r.rows.map(([id, title]) => ({ id, title })));\n }\n\n // ---------- GET /feedbacks/{assignmentId} → feedback objects ----------\n const fbMatch = pathname.match(/^\\/feedbacks\\/(\\d+)$/);\n if (req.method === \"GET\" && fbMatch) {\n await ensureSchema();\n const assignmentId = Number(fbMatch[1]);\n\n // lookup assignment’s uuid + title\n const a = await sqlite.execute(\n `SELECT json_extract(data,'$.uuid'),\n json_extract(data,'$.results.title')\n FROM logs\n WHERE id = ?`,\n [assignmentId],\n );\n if (a.rows.length === 0) return new Response(\"Assignment not found\", { status: 404 });\n const [uuid, title] = a.rows[0];\n\n // fetch matching feedbacks\n const fb = await sqlite.execute(\n `SELECT id, timestamp, ip, data\n FROM logs\n WHERE json_extract(data,'$.feedback') IS NOT NULL\n AND json_extract(data,'$.uuid') = ?\n AND json_extract(data,'$.assignment_title') = ?\n ORDER BY id DESC`,\n [uuid, title],\n );\n\n const feedbacks = fb.rows.map(([id, ts, ip, raw]) => ({\n id,\n timestamp: ts,\n ip,\n data: JSON.parse(raw as string),\n }));\n\n return Response.json({ assignmentId, feedbacks });\n }\n\n // ---------- anything else ----------\n return new Response(\"Not found\", { status: 404 });\n}","// val: logger_http (type = \"HTTP\")\n// POST / → log record\n// GET /browse → simple HTML table of recent records\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite\"; // Val Town’s built-in client [oai_citation:0‡docs.val.town](https://docs.val.town/std/sqlite/usage/?utm_source=chatgpt.com)\n\n// ---------------------------------------------------------------------------\n// one-time helper: create table *and* expression indices if they don’t exist\n// ---------------------------------------------------------------------------\nasync function ensureSchema() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS logs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n timestamp TEXT NOT NULL,\n ip TEXT,\n data TEXT NOT NULL\n )\n `);\n\n /* Fast paths:\n - idx_logs_assignment → scans that check for presence of $.assignment\n - idx_logs_feedback → (uuid, assignment_title) look-ups for feedbacks\n */\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_logs_assignment\n ON logs( (json_extract(data,'$.assignment')) )`,\n );\n\n await sqlite.execute(\n `CREATE INDEX IF NOT EXISTS idx_logs_feedback\n ON logs(\n (json_extract(data,'$.uuid')),\n (json_extract(data,'$.assignment_title'))\n )`,\n );\n}\n\nexport default async function handler(req: Request): Promise {\n const { pathname } = new URL(req.url);\n\n // ---------- POST / → write log ----------\n if (req.method === \"POST\" && pathname === \"/\") {\n await ensureSchema(); // table & indices\n\n let body: unknown;\n try {\n body = await req.json();\n } catch {\n return new Response(\"Malformed JSON\", { status: 400 });\n }\n\n const ip = req.headers.get(\"x-forwarded-for\")?.split(\",\")[0]?.trim()\n ?? req.headers.get(\"x-real-ip\")\n ?? req.headers.get(\"cf-connecting-ip\")\n ?? \"unknown\";\n\n await sqlite.execute({\n sql: `INSERT INTO logs (timestamp, ip, data) VALUES (?, ?, ?)`,\n args: [new Date().toISOString(), ip, JSON.stringify(body)],\n });\n\n return Response.json({ status: \"ok\" });\n }\n\n // ---------- GET /browse → HTML list ----------\n if (req.method === \"GET\" && pathname === \"/browse\") {\n await ensureSchema();\n\n const result = await sqlite.execute(\n `SELECT id, timestamp, ip, data FROM logs ORDER BY id DESC`,\n );\n\n const rowsHtml = result.rows\n .map(([id, ts, ip, json]) => {\n // pretty-print data field if valid JSON\n let pretty = \"\";\n try {\n pretty = JSON.stringify(JSON.parse(json as string), null, 2);\n } catch {\n pretty = json as string;\n }\n return `\n ${id}\n ${ts}\n ${ip}\n

${pretty}

\n `;\n })\n .join(\"\");\n\n const html = `\n \n \n \n Logs\n \n \n \n

Logged requests

\n \n \n \n \n ${rowsHtml}\n

ID	Timestamp	IP	Data

\n \n `;\n\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n // ---------- GET /assignments → list of (id,title) ----------\n if (req.method === \"GET\" && pathname === \"/assignments\") {\n await ensureSchema();\n const r = await sqlite.execute(`\n SELECT id,\n json_extract(data,'$.results.title') AS title\n FROM logs\n WHERE json_extract(data,'$.assignment') IS NOT NULL\n ORDER BY id DESC\n `);\n return Response.json(r.rows.map(([id, title]) => ({ id, title })));\n }\n\n // ---------- GET /feedbacks/{assignmentId} → feedback objects ----------\n const fbMatch = pathname.match(/^\\/feedbacks\\/(\\d+)$/);\n if (req.method === \"GET\" && fbMatch) {\n await ensureSchema();\n const assignmentId = Number(fbMatch[1]);\n console.log(\"Looking for assignment\", assignmentId);\n\n // lookup assignment’s uuid + title\n const a = await sqlite.execute(\n `SELECT json_extract(data,'$.uuid'),\n json_extract(data,'$.results.title')\n FROM logs\n WHERE id = ?`,\n [assignmentId],\n );\n if (a.rows.length === 0) return new Response(\"Assignment not found\", { status: 404 });\n const [uuid, title] = a.rows[0];\n\n // fetch matching feedbacks\n const fb = await sqlite.execute(\n `SELECT id, timestamp, ip, data\n FROM logs\n WHERE json_extract(data,'$.feedback') IS NOT NULL\n AND json_extract(data,'$.uuid') = ?\n AND json_extract(data,'$.assignment_title') = ?\n ORDER BY id DESC`,\n [uuid, title],\n );\n\n const feedbacks = fb.rows.map(([id, ts, ip, raw]) => ({\n id,\n timestamp: ts,\n ip,\n data: JSON.parse(raw as string),\n }));\n\n return Response.json({ assignmentId, feedbacks });\n }\n\n // ---------- anything else ----------\n return new Response(\"Not found\", { status: 404 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Diff · v9