// ────────────────────────────────────────────────────────────── // LIULIAN — mock data shared across pages // ────────────────────────────────────────────────────────────── const STATIONS = [ { id: "aare-bern", name: "Aare at Bern", x: 320, y: 138, alt: 502, q95: 437.1, mean: 412.4, status: "elevated" }, { id: "aare-thun", name: "Aare at Thun", x: 290, y: 148, alt: 558, q95: 311.0, mean: 287.0, status: "ok" }, { id: "aare-hagneck", name: "Aare at Hagneck", x: 380, y: 125, alt: 433, q95: 388.6, mean: 360.2, status: "ok" }, { id: "rhine-basel", name: "Rhine at Basel", x: 600, y: 110, alt: 252, q95: 1190, mean: 1071, status: "watch" }, { id: "rhine-rekingen", name: "Rhine at Rekingen", x: 660, y: 120, alt: 343, q95: 612.5, mean: 580.3, status: "ok" }, { id: "reuss-luzern", name: "Reuss at Luzern", x: 420, y: 155, alt: 432, q95: 318.4, mean: 290.7, status: "ok" }, { id: "limmat-zurich", name: "Limmat at Zurich", x: 540, y: 135, alt: 406, q95: 252.0, mean: 230.5, status: "ok" }, { id: "inn-martina", name: "Inn at Martina", x: 680, y: 155, alt: 1030, q95: 188.2, mean: 162.0, status: "ok" }, { id: "rhone-porte", name: "Rhône at Porte-du-Sex",x:180, y: 195, alt: 374, q95: 700.0, mean: 615.3, status: "ok" }, { id: "brienzersee", name: "Brienzersee", x: 350, y: 158, alt: 564, q95: 142.0, mean: 130.1, status: "ok" }, ]; const DATASETS = [ { id: "swiss-river-1990", name: "Swiss-River 1990", sha: "b7f2a1ce", domain: "hydrology", rows: 1840320, stations: 28, features: 5, horizon: "168h", freq: "1h", range: "1990-01-01 → 2024-12-31", size: "412 MB", license: "CC-BY 4.0", source: "BAFU · swisstopo", updated: "2026-05-12 04:00", manifest: "v3.2.1", description: "Hourly discharge (m³/s), water temperature (°C), precipitation (mm) for 28 Swiss river stations. 1990–2024.", quality: 0.984, fields: [ { name: "ts", type: "timestamp", null: 0, uniq: 1840320, ex: "1990-01-01T00:00:00Z" }, { name: "station_id", type: "string", null: 0, uniq: 28, ex: "aare-bern" }, { name: "discharge", type: "float64", null: 0.012, uniq: 1683112, ex: "412.4", unit: "m³/s", min: 12.3, max: 2104.0, mean: 287.4 }, { name: "temperature", type: "float32", null: 0.041, uniq: 4811, ex: "8.2", unit: "°C", min: -0.4, max: 27.1, mean: 9.8 }, { name: "precip", type: "float32", null: 0.003, uniq: 6022, ex: "0.12", unit: "mm/h", min: 0, max: 84.2, mean: 0.11 }, { name: "is_snowmelt", type: "bool", null: 0, uniq: 2, ex: "false" }, ], }, { id: "swiss-river-2010", name: "Swiss-River 2010", sha: "8c0e44a2", domain: "hydrology", rows: 3149280, stations: 45, features: 5, horizon: "168h", freq: "1h", range: "2010-01-01 → 2024-12-31", size: "684 MB", license: "CC-BY 4.0", source: "BAFU · swisstopo", updated: "2026-05-12 04:00", manifest: "v2.1.0", quality: 0.991, description: "Extended 45-station benchmark, 2010 onward. Includes upstream/downstream graph.", fields: [] }, { id: "electricity", name: "Electricity Load (UCI)", sha: "21de9a3f", domain: "energy", rows: 26304, stations: 321, features: 1, horizon: "96h", freq: "1h", range: "2011-01-01 → 2014-12-31", size: "47 MB", license: "Open Data Commons", source: "UCI ML Repository", updated: "2026-04-21 12:00", manifest: "v1.0.4", quality: 1.0, description: "321 client kWh load curves, 2011–2014.", fields: [] }, { id: "etth1", name: "ETT-h1", sha: "55cc1190", domain: "energy", rows: 17420, stations: 1, features: 7, horizon: "720h", freq: "1h", range: "2016-07-01 → 2018-06-26", size: "1.4 MB", license: "MIT", source: "ETDataset · Zhou et al.", updated: "2026-04-21 12:00", manifest: "v1.0.0", quality: 1.0, description: "Electricity Transformer Temperature, hourly long-horizon benchmark.", fields: [] }, { id: "traffic", name: "PEMS-Bay", sha: "70b1abc2", domain: "traffic", rows: 52116, stations: 325, features: 1, horizon: "24h", freq: "5min", range: "2017-01-01 → 2017-06-30", size: "238 MB", license: "Public Domain", source: "CalTrans PeMS", updated: "2026-03-08 09:00", manifest: "v1.1.0", quality: 0.967, description: "Bay-area highway sensors, 5-minute intervals.", fields: [] }, { id: "weather-jena", name: "Weather · Jena", sha: "9012f3a4", domain: "weather", rows: 52704, stations: 1, features: 21, horizon: "96h", freq: "10min", range: "2020-01-01 → 2021-12-31", size: "11 MB", license: "CC-BY 4.0", source: "MPI Jena", updated: "2026-03-08 09:00", manifest: "v1.0.2", quality: 0.999, description: "MPI Jena meteorological station, 21 variables, 10-min sampling.", fields: [] }, ]; const MODELS = [ { id: "patchtst", family: "Transformer (patched)", paper: "arxiv:2211.14730", params: "8.4M", ctx: "512", status: "stable", role: "supervised" }, { id: "itransformer", family: "Inverted Transformer", paper: "arxiv:2310.06625", params: "11.2M", ctx: "512", status: "stable", role: "supervised" }, { id: "timesnet", family: "Temporal 2D-Vision", paper: "arxiv:2210.02186", params: "6.7M", ctx: "336", status: "stable", role: "supervised" }, { id: "dlinear", family: "Linear", paper: "arxiv:2205.13504", params: "0.04M", ctx: "336", status: "baseline", role: "supervised" }, { id: "mamba", family: "State-space", paper: "arxiv:2312.00752", params: "12.1M", ctx: "2048", status: "stable", role: "supervised" }, { id: "chronos-2", family: "Pretrained FM", paper: "amazon-science", params: "200M", ctx: "2048", status: "stable", role: "zero-shot" }, { id: "timemoe", family: "Mixture-of-Experts FM", paper: "Maple728/TimeMoE-50M",params:"50M", ctx: "2048", status: "preview", role: "zero-shot" }, { id: "time-llm", family: "LLM-reprogrammed", paper: "arxiv:2310.01728", params: "7B", ctx: "1024", status: "preview", role: "few-shot" }, { id: "etsformer", family: "Exponential smoothing", paper: "arxiv:2202.01381", params: "5.2M", ctx: "336", status: "stable", role: "supervised" }, { id: "lstm", family: "Recurrent", paper: "—", params: "0.8M", ctx: "168", status: "baseline", role: "supervised" }, ]; const RUNS = [ { id: "r-7c8a", dataset: "swiss-river-1990", model: "patchtst", entity: "none", seed: 42, status: "running", started: "2026-05-13 04:21", dur: "39m", mae: null, rmse: null, cov90: null, owner: "lj" }, { id: "r-7c89", dataset: "swiss-river-1990", model: "lstm", entity: "none", seed: 42, status: "completed", started: "2026-05-12 14:38", dur: "1h 12m", mae: 11.84, rmse: 16.92, cov90: 82.1, owner: "lj" }, { id: "r-7c88", dataset: "swiss-river-1990", model: "chronos-2", entity: "none", seed: 0, status: "pending", started: "—", dur: "—", mae: null, rmse: null, cov90: null, owner: "lj" }, { id: "r-7c87", dataset: "swiss-river-1990", model: "itransformer", entity: "hash", seed: 7, status: "failed", started: "2026-05-12 22:04", dur: "12m", mae: null, rmse: null, cov90: null, owner: "lj", err: "CUDA OOM at step 4096 / 18000" }, { id: "r-7c86", dataset: "etth1", model: "timesnet", entity: "onehot", seed: 1, status: "completed", started: "2026-05-11 19:17", dur: "2h 04m", mae: 0.428, rmse: 0.611, cov90: 89.4, owner: "ms" }, { id: "r-7c85", dataset: "electricity", model: "mamba", entity: "embed", seed: 42, status: "completed", started: "2026-05-10 11:02", dur: "3h 47m", mae: 0.087, rmse: 0.142, cov90: 91.0, owner: "lj" }, { id: "r-7c84", dataset: "swiss-river-1990", model: "patchtst", entity: "embed", seed: 1, status: "completed", started: "2026-05-09 09:11", dur: "1h 38m", mae: 8.92, rmse: 12.04, cov90: 87.8, owner: "lj" }, { id: "r-7c83", dataset: "swiss-river-1990", model: "patchtst", entity: "none", seed: 2, status: "completed", started: "2026-05-08 16:42", dur: "1h 41m", mae: 8.42, rmse: 11.27, cov90: 88.5, owner: "lj" }, ]; const REPORTS = [ { id: "swiss-river-overview", name: "Swiss-River · Overview", panels: 6, public: true, updated: "2026-05-12", owner: "Linlin Jia", viewers: 14 }, { id: "bern-q95-watchdog", name: "Bern Q95 · Watchdog", panels: 3, public: true, updated: "2026-05-11", owner: "Linlin Jia", viewers: 8 }, { id: "model-shootout-may", name: "Model shoot-out — May 2026", panels: 8, public: false, updated: "2026-05-10", owner: "Linlin Jia", viewers: 3 }, { id: "rhine-basel-handoff", name: "Rhine·Basel handoff brief", panels: 4, public: false, updated: "2026-05-07", owner: "M. Steiner", viewers: 2 }, ]; const NAV = [ { id: "today", label: "Today", icon: "sunrise", group: "" }, { id: "data", label: "Data", icon: "database", group: "Workspace" }, { id: "visualize", label: "Visualize", icon: "bar-chart", group: "Workspace" }, { id: "train", label: "Train", icon: "sparkles", group: "Workspace" }, { id: "predict", label: "Predict", icon: "broadcast", group: "Workspace" }, { id: "live", label: "Live", icon: "activity", group: "Workspace" }, { id: "reports", label: "Reports", icon: "newspaper", group: "Workspace" }, { id: "models", label: "Models", icon: "box", group: "Library" }, { id: "library", label: "Library", icon: "library", group: "Library" }, { id: "agent", label: "Agent", icon: "agent", group: "Library" }, { id: "settings", label: "Settings", icon: "sliders", group: "System" }, ]; // hierarchical config — the four layers any ML use-case sits inside. // Mirrors liulian-python's domain / task / model / data layering. const DOMAINS = [ { id: "time-series", label: "Time series", sub: "ordered observations · t-indexed", examples: "river · energy · traffic · weather · transactions", icon: "activity", default: true }, { id: "tabular", label: "Tabular", sub: "rows × columns · independent observations", examples: "customers · transactions · sensors snapshot", icon: "database", default: false }, { id: "graph", label: "Graph", sub: "nodes + edges · relational", examples: "river network · social · molecules", icon: "graft", default: false }, { id: "vision", label: "Vision", sub: "images · spatial signal", examples: "satellite · medical · documents", icon: "easel", default: false, preview: true }, { id: "text", label: "Text", sub: "natural-language sequences", examples: "logs · documents · captions", icon: "newspaper", default: false, preview: true }, ]; const TASKS = { "time-series": [ { id: "forecast", label: "Forecasting", sub: "predict future values from history", models: ["patchtst", "chronos-2", "timesnet", "itransformer", "lstm", "dlinear"], default: true }, { id: "anomaly", label: "Anomaly detection", sub: "flag points that don't fit the pattern", models: ["isolation-forest", "patchtst", "lstm-ae"], default: false }, { id: "classify", label: "Classification", sub: "label each window or series", models: ["rocket", "inception-time", "patchtst-cls"], default: false }, { id: "impute", label: "Imputation", sub: "fill missing observations", models: ["brits", "saits", "linear"], default: false }, { id: "causal", label: "Causal / intervention", sub: "estimate the effect of an action", models: ["double-ml", "synth-control"], default: false, preview: true }, ], "tabular": [ { id: "regress", label: "Regression", sub: "predict a continuous target", models: ["xgboost", "lightgbm", "tabnet"], default: true }, { id: "classify", label: "Classification", sub: "predict a label", models: ["xgboost", "lightgbm", "tabnet"], default: false }, { id: "rank", label: "Ranking", sub: "order items by relevance", models: ["lightgbm-ranker"], default: false }, ], "graph": [ { id: "node-cls", label: "Node classification", sub: "label nodes", models: ["gcn", "gat", "graphsage"], default: true }, { id: "link", label: "Link prediction", sub: "predict edges", models: ["gcn", "gat"], default: false }, ], "vision": [{ id: "image-cls", label: "Image classification", sub: "label images", models: ["resnet", "vit"], default: true }], "text": [{ id: "text-cls", label: "Text classification", sub: "label spans", models: ["bert", "roberta"], default: true }], }; // quick-start templates exposed on the Doorway. const ENTRIES = [ { id: "create-project", title: "Create a project", sub: "Structured workspace · datasets · models · runs · reports · scheduling.", body: "Pick a domain and a task; LIULIAN scaffolds the rest. Suited for long-running work and teams.", cta: "Set up →", duration: "≈ 2 min setup", needs: "domain · task · data", icon: "doorway", }, { id: "one-shot", title: "One-shot run", sub: "Drop data, pick a task, see results. We'll keep it in a default project.", body: "For exploration, demos, or testing an idea. Project ceremony optional; you can promote later.", cta: "Start one-shot →", duration: "≈ 60 s", needs: "data · task", icon: "drop", }, { id: "open-recent", title: "Open a recent", sub: "Pick up exactly where you left off.", body: "aare-hydro (yesterday 17:42) · rhone-basin (Mon) · etth-bench (last week).", cta: "Resume →", duration: "instant", needs: "—", icon: "library", }, { id: "try-demo", title: "Try a live demo", sub: "Swiss-River 1990 · 28 stations · 30 years of hourly discharge.", body: "The canvas lights up in 6 seconds. You'll land in First Light — the narrated dashboard.", cta: "Load demo →", duration: "6 seconds", needs: "—", icon: "light", }, ]; const PROJECTS = [ { id: "aare-hydro", name: "aare-hydro", sub: "Swiss-River · BAFU", role: "editor", current: true, datasets: 6, models: 5, runs: 18 }, { id: "rhone-basin", name: "rhone-basin", sub: "Rhône tributaries · v0", role: "owner", current: false, datasets: 2, models: 1, runs: 4 }, { id: "etth-bench", name: "etth-bench", sub: "ETT-h1/h2 benchmarks", role: "viewer", current: false, datasets: 2, models: 8, runs: 31 }, { id: "demo-energy", name: "demo-energy", sub: "Electricity Load sandbox",role: "owner", current: false, datasets: 1, models: 3, runs: 9 }, ]; // modes — the three interaction shapes the platform supports. // C (Fused) is the default and the headline. const MODES = [ { id: "A", label: "Classical", sub: "no-bot · pure controls" , detail: "Hands-on. The agent rail is hidden; the canvas behaves like a mature BI tool." }, { id: "B", label: "AI-first", sub: "all-bot · conversation" , detail: "Controls collapse; everything happens in the agent. Demos well, intimidating for first-time visitors." }, { id: "C", label: "Fused", sub: "controls + agent · spatially anchored", detail: "The headline mode. Agent speaks from where you look. F1 anchoring · F2 prefetch · F3 spec sync · F4 visible reasoning · F5 reversible · F6 shared cursor." }, ]; const FUSED_PRINCIPLES = [ { id: "F1", name: "Spatial anchoring", line: "Agent speaks AT the canvas — anchored to the cell, panel, or stroke. Never in a side rail." }, { id: "F2", name: "Predictive prefetch", line: "Dwell → preload. The next click renders from cache, not from the wire." }, { id: "F3", name: "Bidirectional spec sync", line: "Edit the control or the spec — either is canonical, neither is second-class." }, { id: "F4", name: "Visible reasoning", line: "Every suggestion carries a one-sentence why + a clickable footnote that scrolls to the source data." }, { id: "F5", name: "Reversible by default", line: "Every agent change shows a diff and a one-click undo. Refuse after the fact, not only before." }, { id: "F6", name: "Shared cursor", line: "Agent has a pencil. It marks cells, draws on the chart, highlights strokes — alongside yours, in a distinct color." }, ]; // Seven canonical user stories. Story 0 is Today (Morning watch); 1-6 are the upstream stories. const STORIES = [ { id: "morning-watch", code: "0", title: "Morning watch", persona: "Maria · BAFU analyst", setup: "Monday 07:00. Brief the team in two hours. What changed overnight?", modes: ["A", "B", "C"], principles: ["F1", "F4"], steps: [ "Open Today — read the agent's anchored morning note", "Tap the critical alert · Bern Q95 — jump to Forecast", "Ask the agent · draft a one-paragraph brief", "Pin to this week's report · publish", ], start: { page: "today", note: "you're already here" }, duration: "≈ 6 minutes", }, { id: "doorway", code: "1", title: "The Doorway", persona: "First-time visitor · 20-second budget", setup: "Reached liulian.app from an advisor's link. Half data person, half domain expert. Has 20–60 s before they bounce.", modes: ["A", "B", "C"], principles: ["F1", "F2", "F4", "F6"], steps: [ "Land on / · three cards: Create project · Import data · Run a model", "Hover Import for 1.5 s · agent's anchored bubble offers swiss-river-1990 (28 stations, 6 s)", "While you read, agent prefetches the dataset's stations + recent observations", "Click — the canvas is already warm; transitions in under 300 ms", "Agent migrates from corner chip to canvas rail; first canvas message ready", ], start: { page: "today", note: "demoed on the Today landing" }, duration: "≈ 20 seconds to first action", }, { id: "annotated-drop", code: "2", title: "The Annotated Drop", persona: "Researcher · CSV in hand", setup: "A CSV with daily water-temperature for three stations, 2010 → 2024. Verify the schema is right before it touches anything.", modes: ["A", "B", "C"], principles: ["F1", "F4", "F5", "F6"], steps: [ "Data → + Import · drop the CSV", "Schema renders left; agent annotations stream on the right, anchored row-by-row", "Agent says: station has 3 unique values — consider category · click [apply: category]", "23 rows with NaN wt_C — agent marks them with a red dot inline · pick interpolate · preview", "Commit · transforms are stored on the dataset version, undoable from the diff strip", ], start: { page: "data", note: "click + Import on the dataset rail" }, duration: "≈ 4 minutes", }, { id: "first-light", code: "3", title: "First Light", persona: "Analyst · canvas just opened", setup: "Dataset just landed. The canvas is about to light up — opinionated default, narrated, inspectable.", modes: ["A", "B", "C"], principles: ["F1", "F2", "F4", "F6"], steps: [ "Panels stagger in 0.2 s apart — stations rail, then fan, then table, then map, then KPIs", "Each panel arrives with a one-sentence callout from the agent, anchored to the panel", "Every callout has a clickable footnote that scrolls to the source data", "After 8 s the agent falls silent — the lead is yours", "Hover any panel for 1 s · agent prefetches the drill-down; click is instant", ], start: { page: "forecast", note: "land after import" }, duration: "≈ 8 seconds of narration, then yours", }, { id: "pencil", code: "4", title: "The Pencil", persona: "Researcher · spots a sensor glitch", setup: "A 28.4 °C reading in November for a mountain station. Edit one cell — and find every other one like it.", modes: ["A", "B", "C"], principles: ["F1", "F2", "F3", "F4", "F5", "F6"], steps: [ "Double-click the cell · type 7.92 · enter", "Within 300 ms the agent infers \"outlier removal\" and offers 23 more candidates (z > 2.5)", "Click [show them] — agent outlines all 23 in dotted red in the table", "Pick an action: null · interpolate · keep · or refine the rule with three sliders", "Preview layer renders against fan + KPIs; commit makes it the dirty layer · still undoable", ], start: { page: "data", note: "Table tab · click any value" }, duration: "≈ 90 seconds for 24 edits", }, { id: "graft", code: "5", title: "The Graft", persona: "Researcher · needs more material", setup: "Needs precipitation from MeteoSwiss to explain the cold-front anomalies. And a derived column. And next week's rows when they land.", modes: ["A", "B", "C"], principles: ["F1", "F3", "F4", "F6"], steps: [ "Data → + extend dataset · three tabs: append rows · derived column · external join", "Agent suggests MeteoSwiss precip + ERA5 soil-moisture from the domain catalog", "Pick precip — two-track alignment canvas opens · agent aligns on date by default", "Drag the lower track ±2 days · correlation recomputes in real time · agent annotates mis-alignment", "Commit at +1 d (corr 0.73 vs 0.71 at 0 d) · column joins · #picker includes precip overlay", ], start: { page: "data", note: "Pipeline tab · + step" }, duration: "≈ 6 minutes", }, { id: "easel", code: "6", title: "The Easel", persona: "Researcher · wants the 11th chart", setup: "No template covers it. Author it three ways — Code · Canvas · Sketch — and the agent fills in.", modes: ["A", "B", "C"], principles: ["F1", "F3", "F4", "F5", "F6"], steps: [ "Visualize → + author chart · pick Sketch", "Draw a downward curve · agent's ghost stroke overlays in dashed red within 600 ms", "Anchored bubble: \"line chart, time on x, declining y?\" · [yes — render]", "Sketch fades · real chart bound to data takes its place", "Draw a 3×3 grid icon · agent offers \"convert to small multiples · group by station\"", "Commit · the LiulianChartSpec is the canonical artifact; the original sketch is kept as metadata", ], start: { page: "visualize", note: "Sketch tab is the headline" }, duration: "≈ 3 minutes", }, ]; const COMMANDS = [ { group: "Navigate", lbl: "Today · morning watch", icon: "sunrise", run: ({nav}) => nav("today") }, { group: "Navigate", lbl: "Forecast canvas", icon: "activity", run: ({nav}) => nav("forecast") }, { group: "Navigate", lbl: "Workspace · Data", icon: "database", run: ({nav}) => nav("data") }, { group: "Navigate", lbl: "Workspace · Visualize", icon: "bar-chart", run: ({nav}) => nav("visualize") }, { group: "Navigate", lbl: "Workspace · Train", icon: "sparkles", run: ({nav}) => nav("train") }, { group: "Navigate", lbl: "Workspace · Inference", icon: "broadcast", run: ({nav}) => nav("inference") }, { group: "Navigate", lbl: "Workspace · Reports", icon: "newspaper", run: ({nav}) => nav("reports") }, { group: "Navigate", lbl: "Library · Models", icon: "box", run: ({nav}) => nav("models") }, { group: "Navigate", lbl: "Library · Catalog", icon: "library", run: ({nav}) => nav("library") }, { group: "Navigate", lbl: "Library · Agent", icon: "agent", run: ({nav}) => nav("agent") }, { group: "Project", lbl: "Switch project · aare-hydro", run: () => {} }, { group: "Project", lbl: "Switch project · rhone-basin", run: () => {} }, { group: "Project", lbl: "New project…", run: () => {} }, { group: "Mode", lbl: "Switch to Fused mode (C) · default", run: () => {} }, { group: "Mode", lbl: "Switch to Classical (A) · no-bot", run: () => {} }, { group: "Mode", lbl: "Switch to AI-first (B) · all-bot", run: () => {} }, { group: "Guides", lbl: "Open guides — seven canonical flows", run: ({setGuides}) => setGuides(true) }, { group: "Action", lbl: "New dataset · import (Annotated Drop)", kbd: "⌘N", run: ({nav}) => nav("data") }, { group: "Action", lbl: "Fork best run on this dataset", kbd: "⌘F", run: ({nav}) => nav("train") }, { group: "Action", lbl: "Run zero-shot Chronos-2", kbd: "⌘Z", run: () => {} }, { group: "Action", lbl: "Compare two runs", kbd: "⌘M", run: () => {} }, { group: "Action", lbl: "New chart cell · Easel", kbd: "⌘⇧C",run: ({nav}) => nav("visualize") }, { group: "Action", lbl: "Save current view as report", kbd: "⌘S", run: () => {} }, { group: "Action", lbl: "Export PDF", kbd: "⌘P", run: () => window.print && window.print() }, { group: "Agent", lbl: "Ask BI agent", kbd: "B", run: ({setAgent}) => setAgent(true) }, { group: "Agent", lbl: "Switch model · DeepSeek", run: () => {} }, { group: "Agent", lbl: "Switch model · Claude Haiku 4.5", run: () => {} }, { group: "Agent", lbl: "Switch model · Gemini 2.5 Flash", run: () => {} }, ]; function makeTableSample() { const rows = []; const r = (s => () => { s = (s * 1103515245 + 12345) & 0x7fffffff; return s / 0x7fffffff; })(42); const stationIds = STATIONS.slice(0, 6).map(s => s.id); const start = new Date("2024-12-29T00:00:00Z").getTime(); for (let i = 0; i < 120; i++) { const ts = new Date(start + i * 3600 * 1000); const sid = stationIds[i % stationIds.length]; const base = sid === "rhine-basel" ? 1071 : sid === "aare-bern" ? 412 : 280 + (sid.length * 12); rows.push({ _i: i + 1, ts: ts.toISOString().replace("T", " ").slice(0, 16), station_id: sid, discharge: +(base + (r() - 0.5) * 60 + Math.sin(i / 8) * 25).toFixed(2), temperature: +(7 + (r() - 0.5) * 4).toFixed(2), precip: +Math.max(0, r() < 0.18 ? r() * 8 : 0).toFixed(2), is_snowmelt: r() < 0.08, }); } return rows; } const TABLE_SAMPLE = makeTableSample(); Object.assign(window, { STATIONS, DATASETS, MODELS, RUNS, REPORTS, NAV, PROJECTS, DOMAINS, TASKS, ENTRIES, STORIES, MODES, FUSED_PRINCIPLES, TABLE_SAMPLE, COMMANDS });