A dashboard is its own document rather than widgets placed in a flow. Node-RED's dashboard tab is 260 nodes, about forty of them pure layout, which is exactly what the small-graph principle exists to avoid — and since the graph is already wired by message name, a widget can bind to a name without belonging to any flow. Stored beside the flows in the same repository, sharing their write lock and commit, under a directory the flow listing ignores. No draft/publish split: nothing executes a dashboard, so edit mode is its own staging area. Two things it needs from the engine. A message catalog spanning every flow, because a wall panel shows the heating next to the solar and the flow-scoped API is the wrong shape for that. And a way to put a value in without owning a node — a slider is a real value that happened to come from a person — which runs whatever consumes it and applies the same type check a node's output gets. Only a message some flow declares can be published to; flows own the namespace. Charts also need more past than the 120 points a sparkline wanted, so a chart widget declares its depth and the engine keeps that message's series that deep. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011LF61rxW1FG5YCD2J9YqjY
162 lines
4.4 KiB
Python
162 lines
4.4 KiB
Python
"""Dashboards: documents beside the flows, and the values their widgets move."""
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import pytest
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from app.flow.dashboards import (
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DashboardDef,
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DashboardNotFound,
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DashboardStore,
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PageDef,
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SectionDef,
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WidgetDef,
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default_dashboard,
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)
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from app.flow.messages import DType, MessageSpec
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from app.flow.nodes import Node
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from app.flow.pipeline import Pipeline
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from app.flow.state import MemoryState
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from app.flow.store import FlowStore, StaleVersion
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@pytest.fixture
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def store(tmp_path) -> DashboardStore:
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return DashboardStore(FlowStore(tmp_path / "flows"))
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def chart(message: str, points: int) -> WidgetDef:
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return WidgetDef(
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id="temp",
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type="chart",
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config={"series": [{"message": message}], "history": {"points": points}},
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)
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def test_a_dashboard_survives_a_round_trip(store: DashboardStore):
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saved = store.write(default_dashboard("house"))
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read = store.read("house")
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assert read.name == "house"
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assert [p.id for p in read.pages] == ["main"]
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assert read.version == saved.version
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def test_dashboards_are_invisible_to_the_flow_listing(store: DashboardStore):
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"""They share the repository; they are not flows."""
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store.write(default_dashboard("house"))
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assert store.flows.list_flows() == []
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assert [d.name for d in store.list()] == ["house"]
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def test_a_save_based_on_a_version_someone_moved_past_is_refused(
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store: DashboardStore,
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):
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first = store.write(default_dashboard("house"))
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store.write(first, first.version)
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with pytest.raises(StaleVersion):
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store.write(first, first.version)
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def test_deleting_and_renaming(store: DashboardStore):
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store.write(default_dashboard("house"))
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renamed = store.rename("house", "home")
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assert renamed.name == "home"
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assert not store.exists("house")
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store.delete("home")
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with pytest.raises(DashboardNotFound):
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store.read("home")
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def test_the_deepest_chart_decides_how_much_past_is_kept(store: DashboardStore):
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store.write(
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DashboardDef(
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name="house",
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pages=[
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PageDef(
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id="main",
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sections=[
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SectionDef(id="a", widgets=[chart("heating.temp", 400)]),
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SectionDef(
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id="b",
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widgets=[
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chart("heating.temp", 900),
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chart("solar.watts", 100),
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],
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),
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],
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)
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],
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)
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)
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assert store.history_requirements() == {"heating.temp": 900, "solar.watts": 100}
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def test_a_chart_cannot_ask_for_an_unbounded_series(store: DashboardStore):
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store.write(
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DashboardDef(
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name="house",
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pages=[
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PageDef(
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id="main",
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sections=[
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SectionDef(id="a", widgets=[chart("heating.temp", 10**9)])
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],
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)
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],
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)
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)
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assert store.history_requirements() == {"heating.temp": 5000}
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def test_history_is_kept_to_the_depth_a_chart_asked_for():
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state = MemoryState()
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limits = {"f.temp": 300}
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for i in range(400):
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state.append_history({"f.temp": float(i)}, float(i), limits)
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assert len(state.history("f.temp")) == 300
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# ---------------------------------------------------------------------------
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# What an input widget does
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# ---------------------------------------------------------------------------
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def test_publishing_a_value_runs_what_consumes_it():
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"""A slider is a value arriving; the graph should not care who sent it."""
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seen: list[float] = []
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def consume(setpoint, params):
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seen.append(setpoint)
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return {"applied": setpoint}
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node = Node(
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f=consume,
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requires=[MessageSpec(name="setpoint", port="setpoint", dtype=DType.FLOAT)],
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provides=[MessageSpec(name="applied", port="applied", dtype=DType.FLOAT)],
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name="thermostat",
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)
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node.assign_flow("heating", "thermostat")
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state = MemoryState()
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pipeline = Pipeline(nodes=[node], state=state)
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pipeline.publish({"heating.setpoint": 21.5})
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assert seen == [21.5]
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assert state["heating.applied"] == 21.5
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def test_publishing_nothing_does_nothing():
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pipeline = Pipeline(nodes=[], state=MemoryState())
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pipeline.publish({})
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assert pipeline.values() == {}
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