Melvin StroblandClaude Fable 5
06a4506767
Makes the flow engine reachable from the API, which is what M3 needs before
any of it can reach the browser.
- app/flow is a package now; the prototype's watch-dir scripts and the
matplotlib/networkx visualiser are gone with their dependencies.
- Messages carry a serializable dtype instead of a live Python type, and a
port name, so the graph can speak qualified names while node functions keep
local arguments. Redis state is JSON, not pickle.
- Message names are namespaced per flow ("heating.temp"); a bare name resolves
to its own flow, a dotted one crosses flows.
- Several nodes may provide the same message: producers are a list, so fan-in
is a real edge instead of a silently dropped one.
- Flows are stored as flow.json plus node sources in a git repository, one
commit per save, with identical saves skipped so autosave stays quiet.
- Node failures are isolated and reported per node; validate() returns cycles
and unconnected inputs instead of raising deep in a run.
- Credentials live in an encrypted store and are referenced as {"$secret": …}.
- Engine events reach websocket clients through a bus, so values, node status
and execution show up live.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016WzrvW7rjQbynnhF6pxh6i
153 lines
4.3 KiB
Python
153 lines
4.3 KiB
Python
"""The wiring fundamentals: name binding, fan-in, namespaces, validation."""
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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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def spec(name: str, dtype: DType = DType.FLOAT, port: str = "") -> MessageSpec:
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return MessageSpec(name=name, dtype=dtype, port=port)
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def make_node(node_id: str, flow: str, f, requires=(), provides=()) -> Node:
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node = Node(f=f, requires=list(requires), provides=list(provides), name=node_id)
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node.assign_flow(flow, node_id)
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return node
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def test_bare_names_are_scoped_to_their_flow():
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source = make_node(
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"source", "heating", lambda params: {"temp": 20.0}, provides=[spec("temp")]
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)
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assert "heating.temp" in source.provides
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def test_consumer_receives_from_any_producer():
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# Two producers of one message: each publication reaches the consumer.
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seen = []
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def emit_a(params):
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return {"temp": 1.0}
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def emit_b(params):
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return {"temp": 2.0}
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def consume(temp, params):
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seen.append(temp)
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return None
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a = make_node("a", "heating", emit_a, provides=[spec("temp")])
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b = make_node("b", "heating", emit_b, provides=[spec("temp")])
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c = make_node("c", "heating", consume, requires=[spec("temp")])
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pipeline = Pipeline(nodes=[a, b, c])
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assert pipeline.produces["heating.temp"] == [a, b]
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assert pipeline.dependencies[c] == frozenset({a, b})
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a.inject()
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b.inject()
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assert seen == [1.0, 2.0]
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# Latest value wins.
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assert pipeline.state["heating.temp"] == 2.0
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def test_flows_connect_through_qualified_names():
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def emit(params):
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return {"power": 500.0}
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def consume(power, params):
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return {"used": power}
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producer = make_node("meter", "solar", emit, provides=[spec("power")])
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# A bare name would be heating.power; the dotted one crosses the flow.
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consumer = make_node(
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"load",
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"heating",
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consume,
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requires=[spec("solar.power")],
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provides=[spec("used")],
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)
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pipeline = Pipeline(nodes=[producer, consumer])
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assert pipeline.dependencies[consumer] == frozenset({producer})
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producer.inject()
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assert pipeline.state["heating.used"] == 500.0
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def test_ports_keep_function_arguments_local():
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def convert(celsius, params):
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return {"fahrenheit": celsius * 9 / 5 + 32}
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node = make_node(
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"convert",
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"heating",
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convert,
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requires=[spec("solar.celsius", port="celsius")],
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provides=[spec("fahrenheit")],
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)
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Pipeline(nodes=[node])
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assert node.execute({"solar.celsius": 100.0}) == {"heating.fahrenheit": 212.0}
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def test_validate_reports_cycles_and_dangling_inputs():
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a = make_node(
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"a", "f", lambda b, params: {"a": b}, requires=[spec("b")], provides=[spec("a")]
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)
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b = make_node(
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"b", "f", lambda a, params: {"b": a}, requires=[spec("a")], provides=[spec("b")]
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)
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lonely = make_node(
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"lonely", "f", lambda missing, params: None, requires=[spec("missing")]
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)
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issues = Pipeline(nodes=[a, b, lonely]).validate()
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codes = {issue.code for issue in issues}
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assert "cycle" in codes
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assert "unconnected_input" in codes
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dangling = next(i for i in issues if i.code == "unconnected_input")
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assert dangling.message_name == "f.missing"
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assert dangling.node == "f.lonely"
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def test_declared_flow_inputs_are_not_dangling():
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node = make_node(
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"n", "f", lambda setpoint, params: None, requires=[spec("setpoint")]
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)
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issues = Pipeline(nodes=[node]).validate(known_inputs={"f.setpoint"})
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assert issues == []
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def test_a_failing_node_does_not_stop_its_siblings():
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ran = []
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def boom(params):
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raise RuntimeError("nope")
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def fine(params):
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ran.append("fine")
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return {"ok": 1.0}
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bad = make_node("bad", "f", boom, provides=[spec("bad_out")])
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good = make_node("good", "f", fine, provides=[spec("ok")])
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pipeline = Pipeline(nodes=[bad, good])
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pipeline.run()
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assert ran == ["fine"]
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assert pipeline.state["f.ok"] == 1.0
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def test_values_carry_timestamps():
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node = make_node("n", "f", lambda params: {"out": 1.0}, provides=[spec("out")])
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pipeline = Pipeline(nodes=[node])
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node.inject()
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values = pipeline.values("f")
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assert values["f.out"]["value"] == 1.0
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assert values["f.out"]["ts"] > 0
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