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Explicit (fail reason) values flow downstream as data and are inspected with failed?/fail-reason — distinct from raised exceptions (retry/try-catch territory). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
42 lines
1.7 KiB
Markdown
42 lines
1.7 KiB
Markdown
# flow-on-sx Scoreboard
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**All tests pass: 30 / 30 across 2 suites.**
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`bash lib/flow/conformance.sh`
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## Per-suite breakdown
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| Suite | Passing | Covers |
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|-------|--------:|--------|
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| basic | 18 | Phase 1: single nodes, linear sequence, data-flow threading, defflow, parallel fan/join, nested composition, publish-shaped flow |
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| control | 12 | Phase 2: `branch` conditional (6); error model `fail`/`failed?`/`fail-reason` failure values that flow as data (6) |
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## Architecture
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Flow combinators are a **Scheme prelude** (`lib/flow/spec.sx`) loaded onto
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`scheme-standard-env`. A flow is a Scheme procedure `input -> output`. The whole
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flow executes inside the Scheme interpreter, so Phase 3's `suspend` (call/cc) will
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capture the flow continuation directly.
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- `lib/flow/spec.sx` — combinators: `flow-node`, `flow-id`, `flow-const`,
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`sequence`, `parallel`, `defflow`; `flow-load-combinators!`.
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- `lib/flow/api.sx` — `flow/start` (Scheme); `flow-make-env`, `flow-run`,
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`flow-run-in` (SX helpers).
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- `lib/flow/tests/basic.sx` — 18 cases.
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- `lib/flow/conformance.sh` — loads substrate + flow layer, runs suites.
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## Semantics notes
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- **node** = 1-arg Scheme procedure; the upstream value is the argument. A node
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ignoring its argument is effectively a thunk.
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- **sequence** threads left-to-right; empty sequence = identity.
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- **parallel** fans the same input to every branch and joins results into a list.
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Evaluation is **sequential** for now; true concurrency arrives in Phase 3.
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## Phases
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- [x] Phase 1 — Declarative DAG + sequential execution (combinators + 18 tests, `flow/start`)
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- [~] Phase 2 — Control flow + error handling (`branch`, error model done)
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- [ ] Phase 3 — Suspend / resume (the showcase)
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- [ ] Phase 4 — Distributed nodes via fed-sx
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