[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_171":172,"_173":174},"routes/_app.x.$handle.$name",{"_99":98,"_32":45,"_106":89,"_27":53,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":-5,"_118":-5,"_119":25,"_120":121,"_122":58,"_123":-5,"_124":-5,"_125":126},"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":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":82,"_83":84,"_85":86,"_87":25},"version",23,"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","35236a18-87b9-11f1-b75a-1607ee4eb77e","name","fileType","http","content","// Profile Change Vendor Benchmark: Val Town HTTP handler.\n// Deploy this file and benchmark-core.ts in the same Val project.\n// Required environment variables: INGEST_TOKEN (vendor writes), FEED_TOKEN (dashboard reads/reviews).\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport {\n adaptLimadata,\n adaptTheNetwork,\n applyReview,\n computeMetrics,\n ingestResult,\n tokenMatches,\n} from \"./benchmark-core.ts\";\n\nconst KEYS = {\n deliveries: \"profile_benchmark_deliveries_v2\",\n snapshots: \"profile_benchmark_snapshots_v2\",\n episodes: \"profile_benchmark_episodes_v2\",\n reviews: \"profile_benchmark_reviews_v2\",\n metadata: \"profile_benchmark_metadata_v2\",\n legacy: \"limadata_records_v1\",\n};\nconst FEED_TOKEN = Deno.env.get(\"FEED_TOKEN\") ?? \"\";\nconst INGEST_TOKEN = Deno.env.get(\"INGEST_TOKEN\") ?? \"\";\nconst CORS = {\n \"access-control-allow-origin\": \"*\",\n \"access-control-allow-methods\": \"GET,POST,OPTIONS\",\n \"access-control-allow-headers\": \"content-type\",\n};\nconst json = (body: unknown, status = 200) =>\n new Response(JSON.stringify(body), {\n status,\n headers: {\n ...CORS,\n \"content-type\": \"application/json\",\n \"cache-control\": \"no-store\",\n },\n });\nconst allowed = (url: URL, token: string) =>\n tokenMatches(token, url.searchParams.get(\"key\"));\n\nasync function loadState() {\n const [deliveries, snapshots, episodes, reviews, metadata] = await Promise\n .all([\n blob.getJSON(KEYS.deliveries).catch(() => []),\n blob.getJSON(KEYS.snapshots).catch(() => []),\n blob.getJSON(KEYS.episodes).catch(() => []),\n blob.getJSON(KEYS.reviews).catch(() => []),\n blob.getJSON(KEYS.metadata).catch(() => null),\n ]);\n return {\n deliveries: deliveries || [],\n snapshots: snapshots || [],\n episodes: episodes || [],\n reviews: reviews || [],\n metadata: metadata || { benchmark_started_at: null },\n };\n}\nasync function saveState(state: any) {\n await Promise.all([\n blob.setJSON(KEYS.deliveries, state.deliveries),\n blob.setJSON(KEYS.snapshots, state.snapshots),\n blob.setJSON(KEYS.episodes, state.episodes),\n blob.setJSON(KEYS.reviews, state.reviews),\n blob.setJSON(KEYS.metadata, state.metadata),\n ]);\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname.replace(/\\/+$/, \"\") || \"/\";\n if (req.method === \"OPTIONS\") return new Response(null, { headers: CORS });\n\n if (req.method === \"GET\" && path.endsWith(\"/data.json\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const state = await loadState();\n const legacy = await blob.getJSON(KEYS.legacy).catch(() => []);\n return json({\n generated_at: new Date().toISOString(),\n benchmark: {\n ...state.metadata,\n definitions: {\n tie_window_hours: 1,\n episode_window_hours: 24,\n suggestion_window_days: 30,\n scoring: \"manually confirmed episodes only\",\n recall: \"vendor detections / union of confirmed vendor episodes\",\n },\n },\n metrics: computeMetrics(\n state.episodes,\n state.metadata.benchmark_started_at,\n ),\n deliveries: state.deliveries,\n episodes: state.episodes,\n reviews: state.reviews,\n company_mappings: state.metadata.company_mappings || {},\n unmapped_results: state.episodes.filter((episode: any) =>\n !episode.monitored_company\n ),\n legacy_records: Array.isArray(legacy) ? legacy : legacy?.records || [],\n });\n }\n\n if (req.method === \"GET\") {\n const state = await loadState();\n return new Response(\n `Profile Change Vendor Benchmark live: ${state.episodes.length} episodes, ${state.deliveries.length} deliveries.`,\n { headers: CORS },\n );\n }\n if (req.method !== \"POST\") return json({ error: \"method not allowed\" }, 405);\n\n let payload: any;\n try {\n payload = await req.json();\n } catch {\n return json({ error: \"bad json\" }, 400);\n }\n\n if (path.endsWith(\"/benchmark/start\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const state = await loadState();\n if (!state.metadata.benchmark_started_at) {\n const requested = payload?.started_at\n ? new Date(payload.started_at)\n : new Date();\n if (Number.isNaN(requested.valueOf())) {\n return json({ error: \"invalid started_at\" }, 400);\n }\n state.metadata.benchmark_started_at = requested.toISOString();\n await saveState(state);\n }\n return json({\n ok: true,\n benchmark_started_at: state.metadata.benchmark_started_at,\n });\n }\n\n if (path.endsWith(\"/review\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const state = await loadState();\n try {\n const result = applyReview(state, payload);\n await saveState(state);\n return json({\n ok: true,\n result,\n metrics: computeMetrics(\n state.episodes,\n state.metadata.benchmark_started_at,\n ),\n });\n } catch (error) {\n return json({\n error: error instanceof Error ? error.message : String(error),\n }, 400);\n }\n }\n\n const vendor = path.endsWith(\"/webhooks/limadata\")\n ? \"limadata\"\n : path.endsWith(\"/webhooks/the-network\")\n ? \"the_network\"\n : null;\n if (!vendor) return json({ error: \"not found\" }, 404);\n if (!allowed(url, INGEST_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const receivedAt = new Date().toISOString();\n const state = await loadState();\n try {\n const previous = new Map(\n state.snapshots.map((\n item: any,\n ) => [`${item.vendor}:${item.identity}`, item]),\n );\n const adapted = vendor === \"limadata\"\n ? adaptLimadata(payload, receivedAt)\n : adaptTheNetwork(payload, previous, receivedAt);\n const result = ingestResult(state, adapted, receivedAt);\n await saveState(state);\n return json({\n ok: true,\n duplicate: result.duplicate,\n delivery_id: adapted.delivery_key,\n episode_ids: result.episodes.map((episode: any) => episode.id),\n });\n } catch (error) {\n return json({\n error: error instanceof Error ? error.message : String(error),\n }, 400);\n }\n}","// Profile Change Vendor Benchmark: Val Town HTTP handler.\n// Deploy this file and benchmark-core.ts in the same Val project.\n// Required environment variables: INGEST_TOKEN (vendor writes), FEED_TOKEN (dashboard reads/reviews).\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport {\n adaptLimadata,\n adaptTheNetwork,\n applyReview,\n computeMetrics,\n ingestResult,\n tokenMatches,\n} from \"./benchmark-core.ts\";\n\nconst KEYS = {\n deliveries: \"profile_benchmark_deliveries_v2\",\n snapshots: \"profile_benchmark_snapshots_v2\",\n episodes: \"profile_benchmark_episodes_v2\",\n reviews: \"profile_benchmark_reviews_v2\",\n metadata: \"profile_benchmark_metadata_v2\",\n legacy: \"limadata_records_v1\",\n};\nconst FEED_TOKEN = Deno.env.get(\"FEED_TOKEN\") ?? \"\";\nconst INGEST_TOKEN = Deno.env.get(\"INGEST_TOKEN\") ?? \"\";\nconst CORS = {\n \"access-control-allow-origin\": \"*\",\n \"access-control-allow-methods\": \"GET,POST,OPTIONS\",\n \"access-control-allow-headers\": \"content-type\",\n};\n// Permanent raw-payload archive → Railway Postgres (colleague's instance, `limadata` schema).\n// Every webhook POST body is first written to a Val Town SQLite buffer (survives crashes,\n// independent of classification), then pushed to Postgres; buffered rows are deleted ONLY after\n// Postgres confirms the insert. If Postgres is unreachable, rows queue in the buffer and each\n// later request retries the backlog. Env var: LIMADATA_PG_URL (limadata_writer connection string).\nimport postgres from \"npm:postgres\";\nconst PG_URL = Deno.env.get(\"LIMADATA_PG_URL\") ?? \"\";\nconst sql = PG_URL\n ? postgres(PG_URL, { max: 1, idle_timeout: 20, connect_timeout: 10 })\n : null;\nconst RAW_TABLE_READY = sqlite.execute(\n `CREATE TABLE IF NOT EXISTS webhook_buffer (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n received_at TEXT NOT NULL,\n vendor TEXT NOT NULL,\n path TEXT NOT NULL,\n parse_ok INTEGER NOT NULL,\n raw_body TEXT NOT NULL\n)`,\n);\n\nasync function pgInsert(rows: any[]): Promise {\n if (!sql || !rows.length) return false;\n try {\n // ON CONFLICT (vendor, buffer_id) makes retries after a mid-batch failure idempotent.\n await sql`\n INSERT INTO limadata.webhook_deliveries (buffer_id, received_at, vendor, path, parse_ok, raw_body)\n VALUES ${\n sql(rows.map((row) => [\n row.id,\n row.received_at,\n row.vendor,\n row.path,\n Boolean(row.parse_ok),\n // JSONB column: valid JSON is stored as-is; an unparseable body (parse_ok=0) is\n // wrapped as a JSON string so the insert can never fail on malformed input.\n row.parse_ok\n ? row.raw_body\n : JSON.stringify({ unparseable: String(row.raw_body) }),\n ]))\n }\n ON CONFLICT (vendor, buffer_id) DO NOTHING`;\n return true;\n } catch (error) {\n console.error(\n \"pg insert failed\",\n error instanceof Error ? error.message : error,\n );\n return false;\n }\n}\n\nasync function bufferRaw(\n vendor: string,\n path: string,\n rawBody: string,\n parseOk: boolean,\n receivedAt: string,\n): Promise {\n await RAW_TABLE_READY;\n const result = await sqlite.execute({\n sql:\n `INSERT INTO webhook_buffer (received_at, vendor, path, parse_ok, raw_body) VALUES (?, ?, ?, ?, ?)`,\n args: [receivedAt, vendor, path, parseOk ? 1 : 0, rawBody],\n });\n return Number(result.lastInsertRowid ?? 0) || null;\n}\n\n// Push up to `limit` oldest buffered rows to Postgres; delete each batch only after a confirmed\n// insert. Runs opportunistically on every webhook, so a backlog from a Postgres outage drains\n// as soon as traffic (or a manual GET /flush) arrives.\nasync function drainBuffer(\n limit = 100,\n): Promise<{ pushed: number; remaining: number }> {\n await RAW_TABLE_READY;\n let pushed = 0;\n while (pushed < limit) {\n const batch = await sqlite.execute({\n sql:\n `SELECT id, received_at, vendor, path, parse_ok, raw_body FROM webhook_buffer ORDER BY id LIMIT 25`,\n args: [],\n });\n const cols = batch.columns?.length\n ? batch.columns\n : [\"id\", \"received_at\", \"vendor\", \"path\", \"parse_ok\", \"raw_body\"];\n const rows = (batch.rows || []).map((row: any) =>\n Array.isArray(row)\n ? Object.fromEntries(cols.map((c: string, i: number) => [c, row[i]]))\n : row\n );\n if (!rows.length) break;\n if (!(await pgInsert(rows))) break;\n await sqlite.execute({\n sql: `DELETE FROM webhook_buffer WHERE id <= ?`,\n args: [rows[rows.length - 1].id],\n });\n pushed += rows.length;\n }\n const left = await sqlite.execute(`SELECT COUNT(*) AS n FROM webhook_buffer`);\n return {\n pushed,\n remaining: Number(left.rows?.[0]?.n ?? left.rows?.[0]?.[0] ?? 0),\n };\n}\n\nconst json = (body: unknown, status = 200) =>\n new Response(JSON.stringify(body), {\n status,\n headers: {\n ...CORS,\n \"content-type\": \"application/json\",\n \"cache-control\": \"no-store\",\n },\n });\nconst allowed = (url: URL, token: string) =>\n tokenMatches(token, url.searchParams.get(\"key\"));\n\nasync function loadState() {\n const [deliveries, snapshots, episodes, reviews, metadata] = await Promise\n .all([\n blob.getJSON(KEYS.deliveries).catch(() => []),\n blob.getJSON(KEYS.snapshots).catch(() => []),\n blob.getJSON(KEYS.episodes).catch(() => []),\n blob.getJSON(KEYS.reviews).catch(() => []),\n blob.getJSON(KEYS.metadata).catch(() => null),\n ]);\n return {\n deliveries: deliveries || [],\n snapshots: snapshots || [],\n episodes: episodes || [],\n reviews: reviews || [],\n metadata: metadata || { benchmark_started_at: null },\n };\n}\nasync function saveState(state: any) {\n await Promise.all([\n blob.setJSON(KEYS.deliveries, state.deliveries),\n blob.setJSON(KEYS.snapshots, state.snapshots),\n blob.setJSON(KEYS.episodes, state.episodes),\n blob.setJSON(KEYS.reviews, state.reviews),\n blob.setJSON(KEYS.metadata, state.metadata),\n ]);\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname.replace(/\\/+$/, \"\") || \"/\";\n if (req.method === \"OPTIONS\") return new Response(null, { headers: CORS });\n\n if (req.method === \"GET\" && path.endsWith(\"/data.json\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const state = await loadState();\n const legacy = await blob.getJSON(KEYS.legacy).catch(() => []);\n return json({\n generated_at: new Date().toISOString(),\n benchmark: {\n ...state.metadata,\n definitions: {\n tie_window_hours: 1,\n episode_window_hours: 24,\n suggestion_window_days: 30,\n scoring: \"manually confirmed episodes only\",\n recall: \"vendor detections / union of confirmed vendor episodes\",\n },\n },\n metrics: computeMetrics(\n state.episodes,\n state.metadata.benchmark_started_at,\n ),\n deliveries: state.deliveries,\n episodes: state.episodes,\n reviews: state.reviews,\n company_mappings: state.metadata.company_mappings || {},\n unmapped_results: state.episodes.filter((episode: any) =>\n !episode.monitored_company\n ),\n legacy_records: Array.isArray(legacy) ? legacy : legacy?.records || [],\n });\n }\n\n // Manual backlog drain (also runs automatically on every webhook): GET /flush?key=FEED_TOKEN\n if (req.method === \"GET\" && path.endsWith(\"/flush\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n return json(await drainBuffer(200));\n }\n\n if (req.method === \"GET\") {\n const state = await loadState();\n let buffered = \"n/a\";\n try {\n await RAW_TABLE_READY;\n const r = await sqlite.execute(\n `SELECT COUNT(*) AS n FROM webhook_buffer`,\n );\n buffered = String(r.rows?.[0]?.n ?? r.rows?.[0]?.[0] ?? \"?\");\n } catch {}\n return new Response(\n `Profile Change Vendor Benchmark live: ${state.episodes.length} episodes, ${state.deliveries.length} deliveries, ${buffered} payloads awaiting Postgres push.`,\n { headers: CORS },\n );\n }\n if (req.method !== \"POST\") return json({ error: \"method not allowed\" }, 405);\n\n const rawBody = await req.text();\n let payload: any;\n let parseOk = true;\n try {\n payload = JSON.parse(rawBody);\n } catch {\n payload = null;\n parseOk = false;\n }\n const earlyVendor = path.endsWith(\"/webhooks/limadata\")\n ? \"limadata\"\n : path.endsWith(\"/webhooks/the-network\")\n ? \"the_network\"\n : null;\n if (earlyVendor && allowed(url, INGEST_TOKEN)) {\n // Buffer first: raw persistence must not depend on classification or Postgres succeeding.\n try {\n await bufferRaw(\n earlyVendor,\n path,\n rawBody,\n parseOk,\n new Date().toISOString(),\n );\n await drainBuffer(100); // pushes this row plus any backlog from prior Postgres failures\n } catch (error) {\n console.error(\"raw buffer/drain failed\", error);\n }\n }\n if (!parseOk) return json({ error: \"bad json\" }, 400);\n\n if (path.endsWith(\"/benchmark/start\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const state = await loadState();\n if (!state.metadata.benchmark_started_at) {\n const requested = payload?.started_at\n ? new Date(payload.started_at)\n : new Date();\n if (Number.isNaN(requested.valueOf())) {\n return json({ error: \"invalid started_at\" }, 400);\n }\n state.metadata.benchmark_started_at = requested.toISOString();\n await saveState(state);\n }\n return json({\n ok: true,\n benchmark_started_at: state.metadata.benchmark_started_at,\n });\n }\n\n if (path.endsWith(\"/review\")) {\n if (!allowed(url, FEED_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const state = await loadState();\n try {\n const result = applyReview(state, payload);\n await saveState(state);\n return json({\n ok: true,\n result,\n metrics: computeMetrics(\n state.episodes,\n state.metadata.benchmark_started_at,\n ),\n });\n } catch (error) {\n return json({\n error: error instanceof Error ? error.message : String(error),\n }, 400);\n }\n }\n\n const vendor = path.endsWith(\"/webhooks/limadata\")\n ? \"limadata\"\n : path.endsWith(\"/webhooks/the-network\")\n ? \"the_network\"\n : null;\n if (!vendor) return json({ error: \"not found\" }, 404);\n if (!allowed(url, INGEST_TOKEN)) return json({ error: \"forbidden\" }, 403);\n const receivedAt = new Date().toISOString();\n const state = await loadState();\n try {\n const previous = new Map(\n state.snapshots.map((\n item: any,\n ) => [`${item.vendor}:${item.identity}`, item]),\n );\n const adapted = vendor === \"limadata\"\n ? adaptLimadata(payload, receivedAt)\n : adaptTheNetwork(payload, previous, receivedAt);\n const result = ingestResult(state, adapted, receivedAt);\n await saveState(state);\n return json({\n ok: true,\n duplicate: result.duplicate,\n delivery_id: adapted.delivery_key,\n episode_ids: result.episodes.map((episode: any) => episode.id),\n });\n } catch (error) {\n // Raw payload is already archived above; acknowledge 200 so the vendor doesn't\n // treat the endpoint as failing. Classification is rebuildable from the archive.\n return json({\n ok: true,\n archived: true,\n classify_error: error instanceof Error ? error.message : String(error),\n });\n }\n}","createdAt",["D",1787772996885],"branchVersion","branchId","ef4716e2-dd03-4ea2-bdb8-43a7ba2cb132","id","ae34939d-32b6-494f-abd7-8878282895b8","lima-test",["D",1784936495189],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","","imageUrl","a9bbe31c-d4b2-41f1-8950-ffb2490d13ff","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019f9680-ede1-71fd-8189-f4ace7fc6bd1","tursoName","ae34939d32b6494fabd78878282895b8","tursoHostname","ae34939d32b6494fabd78878282895b8-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789473745358],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_99":98,"_105":53},"org",{"_99":98,"_100":53,"_101":53,"_18":55,"_102":103,"_104":25},"branch",{"_13":88,"_32":89,"_43":42,"_90":44,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":45,"_97":98},"isOwned",32,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","androo","handle","displayName","avatar","tier","free","canRestrictVals","profileImageUrl","branchName","adoptOrgId",{"_43":44,"_32":45,"_38":166,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":167,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":168,"_83":169,"_85":170,"_87":25},"tree",[157,158],"files",[157,158],"counts",{"_145":62,"_146":147,"_148":62,"_149":150,"_151":152},"contents",[127,128],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":136,"_32":137,"_30":138,"_130":-5,"_41":42,"_40":139,"_131":25,"_38":140,"_13":141,"_33":142,"_35":143,"_24":25,"_134":-5,"_27":144},{"_43":129,"_32":28,"_30":31,"_130":-5,"_41":42,"_40":14,"_131":25,"_38":132,"_13":133,"_33":34,"_35":37,"_24":25,"_134":-5,"_27":135},"e9b482a1-b4fa-45df-ba7f-0759e3ae3a74","parentId","latest",["D",1787772996885],11,"label",[28],"575e2b4f-283c-4435-964a-1d3f0d0d38ee","benchmark-core.ts","514fb782-8aa7-11f1-b9a5-1607ee4eb77e",21,["D",1787760415002],10,"script","const FOUNDER =\n /\\b(co-?founder|founder|founding|stealth|building|we'?re building|ceo|cto)\\b/i;\nconst HOUR = 36e5;\nconst DAY = 24 * HOUR;\n\nexport const VENDORS = [\"limadata\", \"the_network\"];\nexport const COMPANY_ALIASES = {\n \"elise\": \"EliseAI\",\n \"eliseai\": \"EliseAI\",\n \"elise ai\": \"EliseAI\",\n \"modal\": \"Modal Labs\",\n \"modal labs\": \"Modal Labs\",\n \"reflection\": \"Reflection AI\",\n \"reflectionai\": \"Reflection AI\",\n \"reflection ai\": \"Reflection AI\",\n \"elevenlabs\": \"ElevenLabs\",\n \"eleven labs\": \"ElevenLabs\",\n \"fal\": \"fal.ai\",\n \"fal ai\": \"fal.ai\",\n \"fal.ai\": \"fal.ai\",\n};\nexport const tokenMatches = (configured, supplied) =>\n Boolean(configured) && supplied === configured;\n\nconst text = (value) => String(value ?? \"\").trim();\nconst norm = (value) =>\n text(value).toLowerCase().replace(/[.,]/g, \" \").replace(\n /\\b(inc|llc|ltd|corp|corporation|company)\\b/g,\n \"\",\n ).replace(/\\s+/g, \" \").trim();\nconst asArray = (value) => Array.isArray(value) ? value : [];\nconst iso = (value) => {\n const date = value ? new Date(value) : null;\n return date && !Number.isNaN(date.valueOf()) ? date.toISOString() : null;\n};\nconst current = (role) => role && !role.ends_at;\nconst compactRole = (role) =>\n role\n ? {\n company:\n text(\n role.company || role.company_name || role.organization?.name ||\n (typeof role.organization === \"string\" ? role.organization : null),\n ) || null,\n title: text(role.title || role.role || role.position) || null,\n starts_at: isoDate(role.starts_at || role.start_date || role.started_at),\n ends_at: isoDate(role.ends_at || role.end_date || role.ended_at),\n location: text(role.location?.name || role.location) || null,\n }\n : null;\nconst isoDate = (value) => {\n if (!value) return null;\n if (typeof value === \"object\" && value.year) {\n return `${value.year}-${String(value.month || 1).padStart(2, \"0\")}-${\n String(value.day || 1).padStart(2, \"0\")\n }`;\n }\n const match = text(value).match(/^(\\d{4})(?:-(\\d{1,2}))?(?:-(\\d{1,2}))?/);\n return match\n ? `${match[1]}-${String(match[2] || 1).padStart(2, \"0\")}-${\n String(match[3] || 1).padStart(2, \"0\")\n }`\n : null;\n};\nconst get = (object, paths) => {\n for (const path of paths) {\n let value = object;\n for (const key of path.split(\".\")) value = value?.[key];\n if (value != null && value !== \"\") return value;\n }\n return null;\n};\nconst stable = (value) => {\n const source = typeof value === \"string\" ? value : JSON.stringify(value);\n let hash = 2166136261;\n for (let i = 0; i < source.length; i++) {\n hash = Math.imul(hash ^ source.charCodeAt(i), 16777619);\n }\n return (hash >>> 0).toString(36);\n};\nconst stateKey = (snapshot) =>\n [\n norm(snapshot?.headline),\n norm(snapshot?.current_role?.company),\n norm(snapshot?.current_role?.title),\n snapshot?.current_role?.starts_at || \"\",\n snapshot?.current_role?.ends_at || \"\",\n ].join(\"|\");\n\nexport function canonicalCompany(value, aliases = COMPANY_ALIASES) {\n const key = norm(value);\n if (!key) return null;\n if (aliases[key]) return aliases[key];\n for (const [alias, canonical] of Object.entries(aliases)) {\n if (key === alias || key.includes(alias) || alias.includes(key)) {\n return canonical;\n }\n }\n return null;\n}\n\nexport function linkedInHandleRaw(value) {\n if (!value) return null;\n const raw = text(value);\n const match = raw.match(/linkedin\\.com\\/in\\/([^/?#]+)/i);\n const handle = decodeURIComponent(\n match?.[1] || (/^[\\w.-]+$/.test(raw) ? raw : \"\"),\n ).replace(/\\/+$/, \"\");\n return handle || null;\n}\n\n// Identity stays lowercased so episode ids and dedupe keys remain stable. LinkedIn's\n// obfuscated ACwAA…/ACoAA… ids are case-sensitive, so the original casing is retained\n// separately for building working profile links.\nexport function normalizeLinkedIn(value) {\n const handle = linkedInHandleRaw(value);\n return handle ? handle.toLowerCase() : null;\n}\n\n// Cross-vendor identity: prefer the LinkedIn entity URN. Vendors disagree on handle format\n// (Limadata sends obfuscated ACwAA… ids, The Network sends readable vanity slugs) but agree\n// exactly on the URN, so handle-first matching can never pair the two.\nexport function identityOf(x = {}) {\n return x.linkedin_urn || x.linkedin_handle || null;\n}\n\nfunction snapshotFromProfile(\n profile = {},\n url = null,\n monitoredCompany = null,\n) {\n const roles = asArray(\n profile.experiences || profile.experience || profile.work_history ||\n profile.positions || profile.work_experience,\n ).map(compactRole).filter(Boolean);\n const explicit = compactRole(\n profile.current_role || profile.current_position ||\n profile.current_experience || profile.current_role_employment,\n );\n const currentRole = explicit || roles.find(current) || roles[0] || null;\n return {\n person:\n text(\n profile.full_name || profile.name || profile.display_name ||\n [profile.first_name, profile.last_name].filter(Boolean).join(\" \"),\n ) || null,\n linkedin_handle: normalizeLinkedIn(\n url || profile.linkedin_url || profile.url ||\n get(profile, [\n \"social_links.linkedin_url\",\n \"social_links.identifiers.linkedin.handle\",\n ]),\n ),\n linkedin_handle_raw: linkedInHandleRaw(\n url || profile.linkedin_url || profile.url ||\n get(profile, [\n \"social_links.linkedin_url\",\n \"social_links.identifiers.linkedin.handle\",\n ]),\n ),\n linkedin_urn:\n text(\n profile.linkedin_entity_urn || profile.entity_urn || profile.urn ||\n get(profile, [\"social_links.identifiers.linkedin.entity_urn\"]),\n ) || null,\n headline: text(profile.headline || profile.title) || null,\n current_role: currentRole,\n work_history: roles.slice(0, 12),\n monitored_company: canonicalCompany(\n monitoredCompany || profile.monitored_company || currentRole?.company,\n ),\n };\n}\n\nfunction diffSnapshots(before, after) {\n const diffs = [];\n for (const field of [\"headline\"]) {\n if ((before?.[field] || null) !== (after?.[field] || null)) {\n diffs.push({\n field,\n before: before?.[field] || null,\n after: after?.[field] || null,\n });\n }\n }\n for (\n const field of [\"company\", \"title\", \"starts_at\", \"ends_at\", \"location\"]\n ) {\n const a = before?.current_role?.[field] || null,\n b = after?.current_role?.[field] || null;\n if (a !== b) {diffs.push({\n field: `current_role.${field}`,\n before: a,\n after: b,\n });}\n }\n return diffs;\n}\n\nfunction eventType(before, after, diffs) {\n if (!diffs.length) return \"none\";\n const beforeRole = before?.current_role, afterRole = after?.current_role;\n if (\n afterRole &&\n (!beforeRole || norm(beforeRole.company) !== norm(afterRole.company))\n ) {\n return FOUNDER.test(\n `${afterRole.title} ${afterRole.company} ${after?.headline}`,\n )\n ? \"founder-signal\"\n : \"new-role\";\n }\n if (beforeRole && !afterRole) return \"departure\";\n if (diffs.some((d) => d.field === \"current_role.ends_at\" && d.after)) {\n return \"departure\";\n }\n if (diffs.some((d) => d.field === \"current_role.title\")) {\n return FOUNDER.test(afterRole?.title || \"\")\n ? \"founder-signal\"\n : \"title-change\";\n }\n if (diffs.some((d) => d.field === \"headline\")) {\n return FOUNDER.test(after?.headline || \"\")\n ? \"founder-signal\"\n : \"headline-change\";\n }\n if (diffs.every((d) => d.field === \"current_role.location\")) {\n return \"location-noise\";\n }\n return \"profile-change\";\n}\n\nexport function adaptLimadata(payload, receivedAt = new Date().toISOString()) {\n const data = payload?.data ?? payload ?? {};\n const after = snapshotFromProfile(data.after || {}, data.url, null);\n const before = snapshotFromProfile(\n data.before || {},\n data.url,\n after.monitored_company,\n );\n const identity = identityOf(after) || identityOf(before);\n const rawChanges = asArray(data.changes);\n const explicitDiffs = rawChanges.map((change) => ({\n field: change.property_name || \"unknown\",\n before: change.before ?? null,\n after: change.after ?? null,\n }));\n const diffs = explicitDiffs.length\n ? explicitDiffs\n : diffSnapshots(before, after);\n const experienceChanges = rawChanges.filter((change) =>\n change.property_name === \"experiences\"\n );\n const additions = experienceChanges.filter((change) =>\n !change.before && change.after\n ).map((change) => compactRole(change.after));\n const removals = experienceChanges.filter((change) =>\n change.before && !change.after\n ).map((change) => compactRole(change.before));\n const pairedLocationChanges = additions.length &&\n additions.length === removals.length && additions.every((addition) =>\n removals.some((removal) =>\n [\"company\", \"title\", \"starts_at\", \"ends_at\"].every((key) =>\n norm(removal?.[key]) === norm(addition?.[key])\n ) && removal?.location !== addition?.location\n )\n );\n let detectedType = pairedLocationChanges\n ? \"location-noise\"\n : eventType(before, after, diffSnapshots(before, after));\n if (detectedType === \"none\" && additions.some((role) => current(role))) {\n const role = additions.find(current);\n detectedType =\n FOUNDER.test(`${role?.title} ${role?.company} ${after.headline}`)\n ? \"founder-signal\"\n : \"new-role\";\n }\n if (detectedType === \"none\" && removals.some((role) => current(role))) {\n detectedType = \"departure\";\n }\n const observed = iso(payload?.timestamp || data.timestamp);\n const vendorEventId = text(payload?.id || data.event_id) || null;\n const dedupeKey = vendorEventId ||\n `${identity || after.person || before.person || \"unmapped\"}|${\n observed || receivedAt\n }`;\n return {\n delivery_key: `limadata:${dedupeKey}`,\n snapshots: [{\n vendor: \"limadata\",\n identity,\n observed_at: observed,\n snapshot: after,\n }],\n detections: [{\n id: `det_${stable(`limadata|${dedupeKey}`)}`,\n vendor: \"limadata\",\n vendor_event_id: vendorEventId,\n received_at: iso(receivedAt),\n vendor_observed_at: observed,\n person: after.person || before.person,\n linkedin_handle: after.linkedin_handle || before.linkedin_handle,\n linkedin_urn: after.linkedin_urn || before.linkedin_urn,\n monitored_company: after.monitored_company || before.monitored_company,\n before,\n after,\n diffs,\n event_type: detectedType,\n evidence_level: \"before_after\",\n classification: detectedType.includes(\"noise\")\n ? \"noise\"\n : (detectedType === \"none\" ? \"unclear\" : \"change\"),\n raw_excerpt: { id: vendorEventId, changes: rawChanges.slice(0, 8) },\n state_key: stateKey(after),\n }],\n metadata: {\n source: \"limadata\",\n vendor_event_id: vendorEventId,\n result_count: 1,\n ignored_organizations: 0,\n roster_size: payload?.watch?.people_count ||\n payload?.watch?.roster_size || null,\n },\n };\n}\n\nfunction validateNetwork(payload) {\n if (payload?.source !== \"the_network\") {\n throw new Error(\"source must be the_network\");\n }\n const trigger = payload.trigger || payload.event?.trigger ||\n payload.event_type;\n if (!trigger) throw new Error(\"trigger is required\");\n const batch = payload.batch || payload.data?.batch;\n if (\n !batch ||\n !text(batch.reference || batch.batch_reference || batch.ref || batch.id)\n ) throw new Error(\"batch reference is required\");\n const results = payload.results || payload.data?.results;\n if (!Array.isArray(results)) throw new Error(\"results must be an array\");\n return { trigger: text(trigger), batch, results };\n}\n\nexport function adaptTheNetwork(\n payload,\n previousSnapshots = new Map(),\n receivedAt = new Date().toISOString(),\n) {\n const { trigger, batch, results } = validateNetwork(payload);\n const batchRef = text(\n batch.reference || batch.batch_reference || batch.ref || batch.id,\n );\n const chunk = text(batch.chunk ?? batch.chunk_index ?? payload.chunk ?? \"0\");\n const detections = [], snapshots = [];\n let ignoredOrganizations = 0, unmapped = 0;\n for (const result of results) {\n if (result.entity_type !== \"human\") {\n ignoredOrganizations++;\n continue;\n }\n const entity = result.entity || result.human || result.person || result;\n const url = get(entity, [\n \"linkedin_url\",\n \"linkedin.url\",\n \"profile_url\",\n \"url\",\n \"social_links.linkedin_url\",\n ]);\n const handle = normalizeLinkedIn(\n url || get(entity, [\"social_links.identifiers.linkedin.handle\"]),\n );\n const urn =\n text(\n get(entity, [\n \"linkedin_entity_urn\",\n \"entity_urn\",\n \"linkedin.urn\",\n \"urn\",\n \"social_links.identifiers.linkedin.entity_urn\",\n ]),\n ) || null;\n const identity = urn || handle;\n if (!identity) unmapped++;\n const monitored =\n get(result, [\n \"monitored_company\",\n \"matched_company\",\n \"search.company\",\n \"saved_search.company\",\n ]) || get(payload, [\"monitored_company\", \"saved_search.company\"]);\n const snap = snapshotFromProfile(entity, url, monitored);\n snap.linkedin_handle = handle;\n snap.linkedin_handle_raw = linkedInHandleRaw(\n url || get(entity, [\"social_links.identifiers.linkedin.handle\"]),\n );\n snap.linkedin_urn = urn;\n const prior = identity\n ? previousSnapshots.get(`the_network:${identity}`)?.snapshot || null\n : null;\n const diffs = prior ? diffSnapshots(prior, snap) : [];\n const initial = /saved_search\\.new_results/i.test(trigger) && !prior;\n const evidence = prior ? \"snapshot_diff\" : \"vendor_match_only\";\n const type = prior ? eventType(prior, snap, diffs) : \"vendor-match\";\n const resultKey = `${batchRef}|${chunk}|${identity || stable(entity)}`;\n detections.push({\n id: `det_${stable(`the_network|${resultKey}`)}`,\n vendor: \"the_network\",\n vendor_event_id: resultKey,\n received_at: iso(receivedAt),\n vendor_observed_at: iso(\n get(result, [\"observed_at\", \"timestamp\", \"updated_at\"]) ||\n get(payload, [\"timestamp\", \"observed_at\"]),\n ),\n person: snap.person,\n linkedin_handle: handle,\n linkedin_urn: urn,\n monitored_company: snap.monitored_company,\n before: prior,\n after: snap,\n diffs,\n event_type: type,\n evidence_level: evidence,\n classification: prior && diffs.length\n ? (type.includes(\"noise\") ? \"noise\" : \"change\")\n : \"unclear\",\n raw_excerpt: {\n batch_reference: batchRef,\n chunk,\n trigger,\n entity_type: \"human\",\n },\n state_key: stateKey(snap),\n unscored_reason: initial\n ? \"Initial saved-search observation: trigger semantics unconfirmed.\"\n : (!prior\n ? \"No prior snapshot.\"\n : (!diffs.length ? \"Snapshot unchanged.\" : null)),\n });\n snapshots.push({\n vendor: \"the_network\",\n identity,\n observed_at: detections.at(-1).vendor_observed_at,\n snapshot: snap,\n });\n }\n return {\n delivery_key: `the_network:${batchRef}:${chunk}`,\n detections,\n snapshots,\n metadata: {\n source: \"the_network\",\n trigger,\n batch_reference: batchRef,\n chunk,\n result_count: results.length,\n human_results: detections.length,\n ignored_organizations: ignoredOrganizations,\n unmapped_results: unmapped,\n roster_size: payload.roster_size || payload.saved_search?.result_count ||\n null,\n },\n };\n}\n\nexport function ingestResult(\n state,\n adapted,\n receivedAt = new Date().toISOString(),\n) {\n state.deliveries ||= [];\n state.snapshots ||= [];\n state.episodes ||= [];\n if (state.deliveries.some((item) => item.id === adapted.delivery_key)) {\n return { duplicate: true, state, episodes: [] };\n }\n state.deliveries.push({\n id: adapted.delivery_key,\n received_at: iso(receivedAt),\n ...adapted.metadata,\n });\n const snapshotKeys = new Set(\n state.snapshots.map((item) => `${item.vendor}:${item.identity}`),\n );\n for (const snapshot of adapted.snapshots) {\n const key = `${snapshot.vendor}:${snapshot.identity}`;\n state.snapshots = state.snapshots.filter((item) =>\n `${item.vendor}:${item.identity}` !== key\n );\n state.snapshots.push({ ...snapshot, id: `snap_${stable(key)}` });\n snapshotKeys.add(key);\n }\n const touched = [];\n for (const detection of adapted.detections) {\n if (\n state.episodes.some((episode) =>\n episode.detections.some((item) => item.id === detection.id)\n )\n ) continue;\n const identity = identityOf(detection);\n const received = +new Date(detection.received_at);\n let episode = state.episodes.find((item) => {\n const sameIdentity = identity && identity === identityOf(item);\n const last = Math.max(\n ...item.detections.map((d) => +new Date(d.received_at)),\n );\n return sameIdentity && item.detections.some((d) =>\n d.vendor === detection.vendor\n ) && Math.abs(received - last) <= DAY;\n });\n if (!episode) {\n episode = {\n id: `ep_${\n stable(\n `${identity || detection.id}|${\n detection.received_at.slice(0, 13)\n }|${detection.vendor}`,\n )\n }`,\n person: detection.person,\n linkedin_handle: detection.linkedin_handle,\n linkedin_handle_raw: detection.linkedin_handle_raw || null,\n linkedin_urn: detection.linkedin_urn,\n monitored_company: detection.monitored_company,\n event_type: detection.event_type,\n classification: detection.classification,\n evidence_level: detection.evidence_level,\n review_status: \"pending\",\n outreach_status: \"none\",\n match_group: null,\n suggested_match_id: null,\n detections: [],\n before: detection.before,\n after: detection.after,\n diffs: detection.diffs,\n };\n state.episodes.push(episode);\n }\n episode.detections.push(detection);\n episode.person ||= detection.person;\n episode.monitored_company ||= detection.monitored_company;\n touched.push(episode);\n const suggestion = state.episodes.find((other) =>\n other.id !== episode.id &&\n identityOf(other) === identity &&\n other.detections.some((d) => d.vendor !== detection.vendor) &&\n Math.abs(+new Date(other.detections[0].received_at) - received) <=\n 30 * DAY &&\n (!detection.state_key || other.detections.some((d) =>\n !d.state_key || d.state_key === detection.state_key\n ))\n );\n if (suggestion) {\n episode.suggested_match_id = suggestion.id;\n suggestion.suggested_match_id = episode.id;\n }\n }\n return { duplicate: false, state, episodes: touched };\n}\n\nexport function applyReview(state, action, now = new Date().toISOString()) {\n state.reviews ||= [];\n const requestId = text(action.request_id || action.idempotency_key);\n if (!requestId) throw new Error(\"request_id is required\");\n // Idempotency must not short-circuit the mutation: reviews and episodes live in separate\n // blobs written non-atomically, so a replayed request_id may be the only way to repair an\n // episode whose write was lost. Every action below is idempotent, so re-applying is safe.\n const prior = state.reviews.find((review) => review.request_id === requestId);\n const episode = state.episodes.find((item) => item.id === action.episode_id);\n if (!episode) throw new Error(\"episode not found\");\n let result;\n if (action.action === \"status\") {\n if (![\"pending\", \"confirmed\", \"noise\", \"unclear\"].includes(action.status)) {\n throw new Error(\"invalid review status\");\n }\n episode.review_status = action.status;\n result = { episode };\n } else if (action.action === \"outreach\") {\n if (![\"none\", \"flagged\", \"contacted\"].includes(action.status)) {\n throw new Error(\"invalid outreach status\");\n }\n episode.outreach_status = action.status;\n result = { episode };\n } else if (action.action === \"merge\") {\n const other = state.episodes.find((item) =>\n item.id === action.with_episode_id\n );\n if (!other) throw new Error(\"matching episode not found\");\n const group = episode.match_group || other.match_group ||\n `match_${stable([episode.id, other.id].sort().join(\"|\"))}`;\n episode.match_group = other.match_group = group;\n episode.suggested_match_id = other.suggested_match_id = null;\n result = { match_group: group, episodes: [episode, other] };\n } else if (action.action === \"unlink\") {\n const oldGroup = episode.match_group;\n episode.match_group = null;\n result = { match_group: oldGroup, episode };\n } else throw new Error(\"invalid review action\");\n if (!prior) {\n state.reviews.push({\n id: `review_${stable(requestId)}`,\n request_id: requestId,\n created_at: iso(now),\n episode_id: episode.id,\n action: action.action,\n status: action.status || null,\n result,\n });\n }\n return result;\n}\n\nexport function computeMetrics(episodes, benchmarkStartedAt = null) {\n const start = benchmarkStartedAt ? +new Date(benchmarkStartedAt) : null;\n const inBenchmark = (episode) =>\n !start ||\n episode.detections.some((detection) =>\n +new Date(detection.received_at) >= start\n );\n const eligible = episodes.filter(inBenchmark);\n const confirmed = eligible.filter((episode) =>\n episode.review_status === \"confirmed\"\n );\n const groups = new Map();\n for (const episode of confirmed) {\n const key = episode.match_group || episode.id;\n if (!groups.has(key)) groups.set(key, []);\n groups.get(key).push(episode);\n }\n const union = groups.size;\n const stats = Object.fromEntries(\n VENDORS.map(\n (vendor) => [vendor, {\n confirmed: 0,\n exclusive: 0,\n shared: 0,\n recall: null,\n precision: null,\n wins: 0,\n losses: 0,\n ties: 0,\n median_lead_hours: null,\n role_lag_median_days: null,\n role_lag_coverage: 0,\n }]\n ),\n );\n const adjudicated = Object.fromEntries(\n VENDORS.map((vendor) => [\n vendor,\n eligible.filter((ep) =>\n ep.review_status !== \"pending\" &&\n ep.detections.some((d) => d.vendor === vendor)\n ).length,\n ]),\n );\n const leads = { limadata: [], the_network: [] },\n lags = { limadata: [], the_network: [] };\n for (const members of groups.values()) {\n const vendors = new Set(\n members.flatMap((ep) => ep.detections.map((d) => d.vendor)),\n );\n for (const vendor of vendors) {\n stats[vendor].confirmed++;\n if (vendors.size > 1) stats[vendor].shared++;\n else stats[vendor].exclusive++;\n const detection = members.flatMap((ep) =>\n ep.detections\n ).filter((d) => d.vendor === vendor).sort((a, b) =>\n a.received_at.localeCompare(b.received_at)\n )[0];\n const start = detection.after?.current_role?.starts_at;\n if (start) {\n lags[vendor].push(\n (+new Date(detection.received_at) - +new Date(start)) / DAY,\n );\n }\n }\n if (vendors.size === 2) {\n const times = Object.fromEntries(\n VENDORS.map((v) => [\n v,\n Math.min(\n ...members.flatMap((ep) => ep.detections).filter((d) =>\n d.vendor === v\n ).map((d) => +new Date(d.received_at)),\n ),\n ]),\n );\n const delta = times.the_network - times.limadata;\n if (Math.abs(delta) <= HOUR) VENDORS.forEach((v) => stats[v].ties++);\n else {\n const winner = delta > 0 ? \"limadata\" : \"the_network\",\n loser = winner === \"limadata\" ? \"the_network\" : \"limadata\";\n stats[winner].wins++;\n stats[loser].losses++;\n leads[winner].push(Math.abs(delta) / HOUR);\n }\n }\n }\n const median = (values) => {\n if (!values.length) return null;\n values.sort((a, b) => a - b);\n const middle = Math.floor(values.length / 2);\n return values.length % 2\n ? values[middle]\n : (values[middle - 1] + values[middle]) / 2;\n };\n for (const vendor of VENDORS) {\n stats[vendor].recall = union ? stats[vendor].confirmed / union : null;\n stats[vendor].precision = adjudicated[vendor]\n ? stats[vendor].confirmed / adjudicated[vendor]\n : null;\n stats[vendor].median_lead_hours = median(leads[vendor]);\n stats[vendor].role_lag_median_days = median(lags[vendor]);\n stats[vendor].role_lag_coverage = stats[vendor].confirmed\n ? lags[vendor].length / stats[vendor].confirmed\n : 0;\n }\n return {\n union_confirmed: union,\n confirmed_episodes: confirmed.length,\n vendors: stats,\n };\n}",[137],"pulls","branches",1,"forks","envVars",{"_153":155,"_156":62},"connections",{"_153":62,"_154":62},"count","unfilledCount",4,"emptyCount",{"_43":136,"_32":137,"_30":138,"_130":-5,"_41":42,"_40":139,"_131":25,"_38":163,"_13":141,"_33":142,"_35":143,"_24":25,"_134":-5,"_160":164,"_27":165},{"_43":129,"_32":28,"_30":31,"_130":-5,"_41":42,"_40":14,"_131":25,"_38":159,"_13":133,"_33":34,"_35":37,"_24":25,"_134":-5,"_160":161,"_27":162},["D",1787772996885],"children",[],[28],["D",1787760415002],[],[137],["D",1784936495189],["D",1789473745358],{"_99":98,"_105":53},{"_99":98,"_100":53,"_101":53,"_18":55,"_102":103,"_104":25},{"_13":88,"_32":89,"_43":42,"_90":44,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":45,"_97":98},"ctx",{"_81":-5,"_124":204,"_205":206,"_207":208,"_209":25,"_210":25,"_211":25,"_212":58,"_213":-5,"_214":-7,"_215":-7,"_216":62,"_217":25,"_218":25,"_219":-5,"_220":25,"_221":25,"_222":25,"_223":-5},"ENV",{"_175":176,"_177":178,"_179":89,"_180":181,"_182":183,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193,"_194":195,"_196":197,"_198":199,"_200":201,"_202":203},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","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 · v23