diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 760a9c6..81908ca 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -28,6 +28,21 @@ jobs: - name: Install Python dependencies run: uv sync --group dev + - name: Set up pnpm + uses: pnpm/action-setup@v4 + with: + version: 10 + + - name: Set up Node.js + uses: actions/setup-node@v6 + with: + node-version: "22" + cache: pnpm + cache-dependency-path: docs/pnpm-lock.yaml + + - name: Install docs dependencies + run: cd docs && pnpm install --frozen-lockfile + - name: Check Rust formatting run: cargo fmt --all --check @@ -84,7 +99,7 @@ jobs: args: --release - name: Run tests - run: uv run pytest tests/python/ -v --tb=short --junit-xml=results.xml --ignore=tests/python/test_benchmarks.py + run: uv run pytest tests/python/ -v --tb=short --junit-xml=results.xml --ignore=tests/python/test_benchmarks.py --ignore=tests/python/test_reactive_bench.py - name: Upload test results if: always() diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 630563b..18d274e 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -20,26 +20,36 @@ concurrency: jobs: build: runs-on: ubuntu-latest + defaults: + run: + working-directory: docs steps: - uses: actions/checkout@v6 + - name: Set up pnpm + uses: pnpm/action-setup@v4 + with: + version: 10 + - name: Set up Node.js uses: actions/setup-node@v6 with: node-version: "22" - cache: npm - cache-dependency-path: docs/package-lock.json + cache: pnpm + cache-dependency-path: docs/pnpm-lock.yaml - name: Install dependencies - run: cd docs && npm ci + run: pnpm install --frozen-lockfile - - name: Build Docusaurus - run: cd docs && npm run build + - name: Build Fumadocs site + env: + DOCS_BASE_PATH: /dagron + run: pnpm build - name: Upload Pages artifact uses: actions/upload-pages-artifact@v3 with: - path: docs/build + path: docs/out deploy: needs: build diff --git a/.gitignore b/.gitignore index 45b6de5..7845353 100644 --- a/.gitignore +++ b/.gitignore @@ -162,8 +162,9 @@ dist/ downloads/ eggs/ .eggs/ -lib/ -lib64/ +# Anchor `lib/` to repo root so it doesn't catch e.g. docs/src/lib/. +/lib/ +/lib64/ parts/ sdist/ var/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 144af30..9f91802 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -29,9 +29,15 @@ repos: language: system types: [rust] pass_filenames: false - - id: biome - name: biome - entry: bash -c 'cd docs && npx biome ci src/ docusaurus.config.ts sidebars.ts' + - id: docs-biome + name: docs biome + entry: bash -c 'cd docs && pnpm exec biome check' language: system - files: ^docs/src/|^docs/docusaurus\.config\.ts|^docs/sidebars\.ts + files: ^docs/(src/|content/|source\.config\.ts|next\.config\.mjs|biome\.json|tsconfig\.json|package\.json) + pass_filenames: false + - id: docs-types + name: docs types + entry: bash -c 'cd docs && pnpm types:check' + language: system + files: ^docs/(src/|source\.config\.ts|next\.config\.mjs|tsconfig\.json|package\.json|content/.*\.mdx) pass_filenames: false diff --git a/CHANGELOG.md b/CHANGELOG.md index eb061d9..248b233 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,6 +4,27 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/). +## [Unreleased] + +### Added + +- **Typed `NodeRef` handles** — `dag.add_node()` now returns a stable `NodeRef`. Every public method that takes a node identifier accepts either a `str` name or a `NodeRef`, so existing string-based code keeps working unchanged. NodeRefs survive unrelated graph mutations and detect remove-then-readd via per-node epochs (`StaleNodeRefError`). +- **`@dagron.flow` Pythonic compose API** — Tawazi-style: write a regular Python function that calls `@task`-decorated tasks; the call structure becomes the DAG. `pipeline.dag()` returns the underlying DAG; `pipeline()` runs it. Compatible with the legacy parameter-name-based `Pipeline` (the same `@task` decorator powers both). +- **Generic typing + `dagron.stubgen`** — `FlowFuture[T]`, `NodeResult[T]`, `ExecutionResult.__getitem__` overloads typed by `FlowFuture[T]`. `dagron.stubgen.generate_stub(dag, types)` emits a `.pyi` with `Literal["nodename"] -> NodeResult[T]` overloads, so even string-keyed lookups become statically typed. `@task` is a passthrough decorator with `[**P, R]` ParamSpec — IDE autocomplete and mypy both work. +- **Effect-typed nodes** — `dagron.Effect` enum (`PURE`/`READ`/`WRITE`/`NETWORK`/`NONDETERMINISTIC`) with `is_cacheable`/`is_deterministic`/`is_isolated` properties. `@task(effect=Effect.NETWORK)` tags impurity. AST-scan heuristic emits a `UserWarning` when a `PURE` task contains obviously-impure calls (`time.time`, `random.*`, `os.*`, etc.). `effects_of(dag)` reads tags back from DAG metadata. New `DAGExecutor(enforce_effect_isolation=True)` flag serializes `NONDETERMINISTIC` tasks while letting other effects parallelize freely. +- **`dagron.reactive` — Solid.js / Jane-Street-`Incremental` style reactive engine** — `Signal` / `Computed` / `Watcher` with auto-tracked dependencies. Mutating one signal that feeds 10,000 derived nodes and reading just one of them takes ~10 µs on the recompute path. `batch()` context manager guarantees glitch-free updates: multiple signal mutations coalesce into a single watcher fire. Distinct from the existing `dagron.execution.reactive.ReactiveDAG` (which wraps a pre-built DAG); the new module is for building reactive graphs from scratch. +- **`dagron.contentcache` — Nix-flake-style cross-process cache** — `ContentCache` stores cached values keyed by their content fingerprint. The filesystem itself is the index — independent processes (CI workers, two terminals) share intermediates without coordination. Atomic temp-file + rename writes, magic-byte header, sharded layout `//.cache`. Pluggable `Hasher` protocol with `default_hash` (pickle + blake2b) and `numpy_hash` (uses `array.tobytes()`). `compute_or_cached` is effect-aware and skips the cache for `WRITE`/`NETWORK`/`NONDETERMINISTIC` automatically. Honors `$DAGRON_CACHE_DIR`. +- **`dagron.trace` — time-travel debugging with `replay(at=t)`** — `TraceWriter` appends per-node JSONL records; payloads are stored in the `ContentCache` keyed by output fingerprint, so identical values across runs deduplicate. `TraceReader` reads back. `replay(source, at=t)` reconstructs the per-node `ReplayedNode` state at any past wall-clock instant. Pure / READ nodes replay byte-identically; impure nodes are flagged `replayable=False` but their logged values are still surfaced. Re-recorded nodes (retries) take the latest value up to the cutoff. Honors `$DAGRON_TRACE_DIR`. + +### Changed + +- `DAG.add_node()` now returns `NodeRef` instead of `NodeId`. `NodeId` is still returned by enumeration methods (`nodes()`, `successors()`, `roots()`, …) where a snapshot identifier is appropriate. +- `NodeData::name` is now `Arc` (was `String`) — cheaper to share between handles. +- `DAGExecutor.execute` and `AsyncDAGExecutor.execute` accept `Mapping[str | NodeRef, Callable]` for the `tasks` parameter. +- `ExecutionResult.__getitem__` and `__contains__` accept `str`, `NodeRef`, or `FlowFuture[T]`. +- `NodeResult` is now `NodeResult[T]` (PEP 695 generic). Existing references default to `NodeResult[Any]` and remain backwards compatible. +- `@task` is now flow-aware: outside a `@flow` body it executes normally; inside one it records the call and returns `FlowFuture[T]`. The same decorator works for both the legacy `Pipeline` and the new `@flow` API. + ## [0.1.0] - 2026-03-06 ### Added diff --git a/crates/dagron-core/src/errors.rs b/crates/dagron-core/src/errors.rs index 72a2dec..8cae839 100644 --- a/crates/dagron-core/src/errors.rs +++ b/crates/dagron-core/src/errors.rs @@ -12,6 +12,11 @@ pub enum DagronError { #[error("Edge not found: {0} -> {1}")] EdgeNotFound(String, String), + #[error( + "Stale node reference: {0} (the node was removed or replaced after the ref was created)" + )] + StaleNodeRef(String), + #[error("Graph error: {0}")] Graph(String), } diff --git a/crates/dagron-core/src/graph/construction.rs b/crates/dagron-core/src/graph/construction.rs index 0497679..18f9889 100644 --- a/crates/dagron-core/src/graph/construction.rs +++ b/crates/dagron-core/src/graph/construction.rs @@ -1,6 +1,6 @@ use crate::algorithms; use crate::errors::DagronError; -use crate::node::NodeId; +use crate::node::NodeRef; use crate::types::EdgeData; use super::DAG; @@ -8,9 +8,12 @@ use super::DAG; impl

DAG

{ /// Add a single node to the graph. /// - /// Returns NodeId for the newly created node. - /// Returns DagronError::DuplicateNode if a node with this name already exists. - pub fn add_node(&mut self, name: String, payload: P) -> Result { + /// Returns a [`NodeRef`] for the newly created node. The ref is stable — + /// it remains valid across edge mutations and other-node changes, and is + /// invalidated only if this node is removed. + /// + /// Returns `DagronError::DuplicateNode` if a node with this name already exists. + pub fn add_node(&mut self, name: String, payload: P) -> Result { if self.name_to_index.contains_key(&name) { return Err(DagronError::DuplicateNode(name)); } @@ -19,12 +22,12 @@ impl

DAG

{ payload, }; let idx = self.graph.add_node(node_data); + let epoch = self.next_node_epoch; + self.next_node_epoch = self.next_node_epoch.wrapping_add(1); self.name_to_index.insert(name.clone(), idx); + self.node_epochs.insert(name.clone(), epoch); self.bump_generation(); - Ok(NodeId { - index: idx.index() as u32, - name, - }) + Ok(NodeRef::new(name, epoch)) } /// Add a directed edge from one node to another. @@ -71,6 +74,7 @@ impl

DAG

{ let idx = self.resolve_name(name)?; self.graph.remove_node(idx); self.name_to_index.remove(name); + self.node_epochs.remove(name); self.bump_generation(); Ok(()) } diff --git a/crates/dagron-core/src/graph/mod.rs b/crates/dagron-core/src/graph/mod.rs index 8477dba..b4d0be2 100644 --- a/crates/dagron-core/src/graph/mod.rs +++ b/crates/dagron-core/src/graph/mod.rs @@ -21,11 +21,17 @@ use std::sync::RwLock; use ahash::AHashMap; use crate::errors::DagronError; +use crate::node::NodeRef; use crate::types::{InternalGraph, InternalNodeIndex}; pub struct DAG

{ pub(crate) graph: InternalGraph

, pub(crate) name_to_index: AHashMap, + /// Per-node creation epoch — used to validate `NodeRef`s against + /// remove/re-add cycles. The entry is removed when the node is removed. + pub(crate) node_epochs: AHashMap, + /// Monotonic counter; assigned to each newly created node. + pub(crate) next_node_epoch: u64, generation: u64, pub(crate) cache: RwLock, } @@ -35,6 +41,8 @@ impl

DAG

{ DAG { graph: InternalGraph::default(), name_to_index: AHashMap::new(), + node_epochs: AHashMap::new(), + next_node_epoch: 0, generation: 0, cache: RwLock::new(cache::DagCache::new()), } @@ -48,6 +56,30 @@ impl

DAG

{ .ok_or_else(|| DagronError::NodeNotFound(name.to_string())) } + /// Resolve a `NodeRef` to its current index, validating that the node + /// still exists with the same creation epoch. Returns + /// `DagronError::NodeNotFound` if the node has been removed and + /// `DagronError::StaleNodeRef` if a different node now occupies the name. + pub fn resolve_ref(&self, r: &NodeRef) -> Result { + let stored_epoch = self + .node_epochs + .get(r.name.as_ref()) + .ok_or_else(|| DagronError::NodeNotFound(r.name.to_string()))?; + if *stored_epoch != r.epoch { + return Err(DagronError::StaleNodeRef(r.name.to_string())); + } + self.name_to_index + .get(r.name.as_ref()) + .copied() + .ok_or_else(|| DagronError::NodeNotFound(r.name.to_string())) + } + + /// Look up the current `NodeRef` for a name, if it exists. + pub fn node_ref(&self, name: &str) -> Option { + let epoch = *self.node_epochs.get(name)?; + Some(NodeRef::new(name, epoch)) + } + /// Access the underlying petgraph. pub fn inner_graph(&self) -> &InternalGraph

{ &self.graph @@ -160,6 +192,8 @@ impl DAG

{ DAG { graph: self.graph.clone(), name_to_index: self.name_to_index.clone(), + node_epochs: self.node_epochs.clone(), + next_node_epoch: self.next_node_epoch, generation: self.generation, cache: RwLock::new(cache::DagCache::new()), } diff --git a/crates/dagron-core/src/lib.rs b/crates/dagron-core/src/lib.rs index d4274f7..d6089b6 100644 --- a/crates/dagron-core/src/lib.rs +++ b/crates/dagron-core/src/lib.rs @@ -16,5 +16,5 @@ pub use graph::serialization::{SerializableEdge, SerializableGraph, Serializable pub use graph::stats::GraphStats; pub use graph::transforms::MergeConflict; pub use graph::DAG; -pub use node::NodeId; +pub use node::{NodeId, NodeRef}; pub use types::{EdgeData, InternalGraph, InternalNodeIndex, NodeData}; diff --git a/crates/dagron-core/src/node.rs b/crates/dagron-core/src/node.rs index 95b71da..aba937c 100644 --- a/crates/dagron-core/src/node.rs +++ b/crates/dagron-core/src/node.rs @@ -1,11 +1,16 @@ use std::fmt; +use std::hash::{Hash, Hasher}; +use std::sync::Arc; -/// A unique identifier for a node in a DAG. +/// A snapshot identifier for a node in a DAG. /// -/// **Note:** The `index` field corresponds to the internal `petgraph` node index -/// and is only valid for the lifetime of that node in the graph. After a node is -/// removed, its index may be reused by a subsequently added node. Do not persist -/// or compare `index` values across graph mutations that involve removals. +/// `NodeId` is returned by enumeration methods (`nodes()`, `successors()`, …). +/// It carries the node's `name` plus its current `petgraph` index. The `index` +/// field is a *snapshot*: after a node is removed, its index may be reused by +/// a subsequently added node, so do not persist or compare `index` values +/// across graph mutations that involve removals. +/// +/// For a stable, persistent handle that survives mutations, use [`NodeRef`]. #[derive(Debug, Clone, PartialEq, Eq, Hash)] pub struct NodeId { pub index: u32, @@ -17,3 +22,59 @@ impl fmt::Display for NodeId { write!(f, "{}", self.name) } } + +/// A stable, persistent handle to a node. +/// +/// `NodeRef` is returned by [`DAG::add_node`] and remains valid as long as the +/// node it points to has not been removed (or removed-and-readded with the +/// same name, which produces a fresh `epoch`). Use it anywhere a `&str` name +/// is accepted; resolution is O(1) and detects stale references. +/// +/// `NodeRef` clones cheaply: the name is reference-counted via `Arc`. +#[derive(Debug, Clone)] +pub struct NodeRef { + pub name: Arc, + pub epoch: u64, +} + +impl NodeRef { + /// Construct a `NodeRef` directly. Prefer obtaining one from + /// [`DAG::add_node`] or [`DAG::node_ref`]. + pub fn new(name: impl Into>, epoch: u64) -> Self { + NodeRef { + name: name.into(), + epoch, + } + } + + /// Borrow the name as a string slice. + pub fn name(&self) -> &str { + &self.name + } + + /// The creation epoch this ref was minted with. + pub fn epoch(&self) -> u64 { + self.epoch + } +} + +impl PartialEq for NodeRef { + fn eq(&self, other: &Self) -> bool { + self.epoch == other.epoch && self.name == other.name + } +} + +impl Eq for NodeRef {} + +impl Hash for NodeRef { + fn hash(&self, state: &mut H) { + self.name.hash(state); + self.epoch.hash(state); + } +} + +impl fmt::Display for NodeRef { + fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { + write!(f, "{}", self.name) + } +} diff --git a/crates/dagron-core/tests/construction.rs b/crates/dagron-core/tests/construction.rs index cd46dd7..483daba 100644 --- a/crates/dagron-core/tests/construction.rs +++ b/crates/dagron-core/tests/construction.rs @@ -14,10 +14,55 @@ fn diamond_dag() -> DAG { } #[test] -fn add_node_returns_node_id() { +fn add_node_returns_node_ref() { let mut dag = DAG::new(); - let id = dag.add_node("alpha".into(), ()).unwrap(); - assert_eq!(id.name, "alpha"); + let r = dag.add_node("alpha".into(), ()).unwrap(); + assert_eq!(r.name(), "alpha"); + // resolve the ref back to confirm it's valid + assert!(dag.resolve_ref(&r).is_ok()); +} + +#[test] +fn node_ref_survives_unrelated_mutations() { + let mut dag = DAG::new(); + let a = dag.add_node("a".into(), ()).unwrap(); + let _b = dag.add_node("b".into(), ()).unwrap(); + dag.add_edge("a", "b", None, None).unwrap(); + // unrelated mutations should NOT invalidate `a` + let _c = dag.add_node("c".into(), ()).unwrap(); + dag.remove_node("b").unwrap(); + assert!(dag.resolve_ref(&a).is_ok()); +} + +#[test] +fn node_ref_invalidated_when_node_removed() { + let mut dag = DAG::new(); + let a = dag.add_node("a".into(), ()).unwrap(); + dag.remove_node("a").unwrap(); + let err = dag.resolve_ref(&a).unwrap_err(); + assert!(matches!(err, DagronError::NodeNotFound(name) if name == "a")); +} + +#[test] +fn node_ref_invalidated_when_name_reused() { + let mut dag = DAG::new(); + let a1 = dag.add_node("a".into(), ()).unwrap(); + dag.remove_node("a").unwrap(); + let a2 = dag.add_node("a".into(), ()).unwrap(); + // a2 is fine + assert!(dag.resolve_ref(&a2).is_ok()); + // a1 is now stale (different epoch on the same name) + let err = dag.resolve_ref(&a1).unwrap_err(); + assert!(matches!(err, DagronError::StaleNodeRef(name) if name == "a")); +} + +#[test] +fn node_ref_lookup_via_name() { + let mut dag = DAG::new(); + let original = dag.add_node("foo".into(), ()).unwrap(); + let looked_up = dag.node_ref("foo").unwrap(); + assert_eq!(original, looked_up); + assert!(dag.node_ref("missing").is_none()); } #[test] diff --git a/crates/dagron-py/src/construction.rs b/crates/dagron-py/src/construction.rs index d0c8bc2..5d129f5 100644 --- a/crates/dagron-py/src/construction.rs +++ b/crates/dagron-py/src/construction.rs @@ -3,7 +3,8 @@ use pyo3::types::PyList; use crate::dag::PyDAG; use crate::errors; -use crate::node::PyNodeId; +use crate::node::PyNodeRef; +use crate::noderef::NodeArg; use crate::payload::PyNodePayload; #[pymethods] @@ -16,7 +17,8 @@ impl PyDAG { /// metadata: Optional metadata Python object. /// /// Returns: - /// NodeId for the newly created node. + /// A NodeRef for the newly created node. NodeRef is a stable handle + /// that can be passed to any method that accepts a node identifier. /// /// Raises: /// DuplicateNodeError: If a node with this name already exists. @@ -26,13 +28,19 @@ impl PyDAG { name: String, payload: Option>, metadata: Option>, - ) -> PyResult { + ) -> PyResult { let py_payload = PyNodePayload { payload, metadata }; - let node_id = self + let node_ref = self .inner .add_node(name, py_payload) .map_err(errors::into_pyerr)?; - Ok(node_id.into()) + Ok(node_ref.into()) + } + + /// Look up the current NodeRef for a given name, returning None if no + /// node with that name exists. + pub fn node_ref(&self, name: &str) -> Option { + self.inner.node_ref(name).map(PyNodeRef::from) } /// Add multiple nodes at once. More efficient than repeated add_node calls. @@ -41,11 +49,11 @@ impl PyDAG { /// nodes: List of node names (strings) or (name, payload) tuples or (name, payload, metadata) tuples. /// /// Returns: - /// List of NodeId objects. + /// List of NodeRef objects. /// /// Raises: /// DuplicateNodeError: If any node name already exists. - pub fn add_nodes(&mut self, nodes: &Bound<'_, PyList>) -> PyResult> { + pub fn add_nodes(&mut self, nodes: &Bound<'_, PyList>) -> PyResult> { let mut result = Vec::with_capacity(nodes.len()); for item in nodes.iter() { if let Ok(name) = item.extract::() { @@ -68,32 +76,30 @@ impl PyDAG { /// Add a directed edge from one node to another. /// /// Args: - /// from_node: Name of the source node. - /// to_node: Name of the target node. + /// from_node: Source node — accepts either a string name or a NodeRef. + /// to_node: Target node — accepts either a string name or a NodeRef. /// weight: Optional edge weight (default 1.0). /// label: Optional edge label. /// /// Raises: /// NodeNotFoundError: If either node doesn't exist. + /// StaleNodeRefError: If a NodeRef points to a removed/replaced node. /// CycleError: If the edge would create a cycle. #[pyo3(signature = (from_node, to_node, weight=None, label=None))] pub fn add_edge( &mut self, py: Python<'_>, - from_node: &str, - to_node: &str, + from_node: NodeArg, + to_node: NodeArg, weight: Option, label: Option, ) -> PyResult<()> { + let from = from_node.into_name(&self.inner)?; + let to = to_node.into_name(&self.inner)?; + // Resolve names first while we have &self - let from_idx = self - .inner - .resolve_name(from_node) - .map_err(errors::into_pyerr)?; - let to_idx = self - .inner - .resolve_name(to_node) - .map_err(errors::into_pyerr)?; + let from_idx = self.inner.resolve_name(&from).map_err(errors::into_pyerr)?; + let to_idx = self.inner.resolve_name(&to).map_err(errors::into_pyerr)?; // Check for cycle — release GIL for the graph traversal let graph_ref = self.inner.inner_graph(); @@ -109,8 +115,8 @@ impl PyDAG { return Err(errors::into_pyerr(dagron_core::DagronError::Cycle( format!( "Edge {} -> {} would create a cycle: {}", - from_node, - to_node, + from, + to, names.join(" -> ") ), ))); @@ -130,25 +136,26 @@ impl PyDAG { /// Add multiple edges at once. /// /// Args: - /// edges: List of (from, to) tuples, optionally with weight and label: - /// (from, to), (from, to, weight), or (from, to, weight, label). + /// edges: List of (from, to) tuples (either strings or NodeRefs), + /// optionally with weight and label. /// /// Raises: /// NodeNotFoundError: If any referenced node doesn't exist. /// CycleError: If any edge would create a cycle. pub fn add_edges(&mut self, py: Python<'_>, edges: &Bound<'_, PyList>) -> PyResult<()> { for item in edges.iter() { - if let Ok((from, to)) = item.extract::<(String, String)>() { - self.add_edge(py, &from, &to, None, None)?; - } else if let Ok((from, to, weight)) = item.extract::<(String, String, f64)>() { - self.add_edge(py, &from, &to, Some(weight), None)?; - } else if let Ok((from, to, weight, label)) = - item.extract::<(String, String, f64, String)>() + // Try the largest tuple first so we don't lose weight/label. + if let Ok((from, to, weight, label)) = item.extract::<(NodeArg, NodeArg, f64, String)>() { - self.add_edge(py, &from, &to, Some(weight), Some(label))?; + self.add_edge(py, from, to, Some(weight), Some(label))?; + } else if let Ok((from, to, weight)) = item.extract::<(NodeArg, NodeArg, f64)>() { + self.add_edge(py, from, to, Some(weight), None)?; + } else if let Ok((from, to)) = item.extract::<(NodeArg, NodeArg)>() { + self.add_edge(py, from, to, None, None)?; } else { return Err(pyo3::exceptions::PyTypeError::new_err( - "Each edge must be a (from, to), (from, to, weight), or (from, to, weight, label) tuple", + "Each edge must be a (from, to), (from, to, weight), or (from, to, weight, label) tuple. \ + `from` and `to` may be a str or NodeRef.", )); } } @@ -158,26 +165,29 @@ impl PyDAG { /// Remove a node and all its incident edges. /// /// Args: - /// name: Name of the node to remove. + /// node: Node to remove (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn remove_node(&mut self, name: &str) -> PyResult<()> { - self.inner.remove_node(name).map_err(errors::into_pyerr) + pub fn remove_node(&mut self, node: NodeArg) -> PyResult<()> { + let name = node.into_name(&self.inner)?; + self.inner.remove_node(&name).map_err(errors::into_pyerr) } /// Remove an edge between two nodes. /// /// Args: - /// from_node: Name of the source node. - /// to_node: Name of the target node. + /// from_node: Source node (str or NodeRef). + /// to_node: Target node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If either node doesn't exist. /// EdgeNotFoundError: If no edge exists between the nodes. - pub fn remove_edge(&mut self, from_node: &str, to_node: &str) -> PyResult<()> { + pub fn remove_edge(&mut self, from_node: NodeArg, to_node: NodeArg) -> PyResult<()> { + let from = from_node.into_name(&self.inner)?; + let to = to_node.into_name(&self.inner)?; self.inner - .remove_edge(from_node, to_node) + .remove_edge(&from, &to) .map_err(errors::into_pyerr) } diff --git a/crates/dagron-py/src/errors.rs b/crates/dagron-py/src/errors.rs index 17b705c..2894a88 100644 --- a/crates/dagron-py/src/errors.rs +++ b/crates/dagron-py/src/errors.rs @@ -37,6 +37,12 @@ create_exception!( DagronError, "Raised for general graph operation errors." ); +create_exception!( + dagron, + StaleNodeRefError, + DagronError, + "Raised when a NodeRef refers to a node that has been removed or replaced." +); /// Convert a DagronError into a PyErr. pub fn into_pyerr(err: dagron_core::DagronError) -> pyo3::PyErr { @@ -47,6 +53,7 @@ pub fn into_pyerr(err: dagron_core::DagronError) -> pyo3::PyErr { dagron_core::DagronError::EdgeNotFound(from, to) => { EdgeNotFoundError::new_err(format!("{from} -> {to}")) } + dagron_core::DagronError::StaleNodeRef(msg) => StaleNodeRefError::new_err(msg), dagron_core::DagronError::Graph(msg) => GraphError::new_err(msg), } } diff --git a/crates/dagron-py/src/incremental.rs b/crates/dagron-py/src/incremental.rs index 94d2d52..d984e40 100644 --- a/crates/dagron-py/src/incremental.rs +++ b/crates/dagron-py/src/incremental.rs @@ -4,34 +4,43 @@ use pyo3::prelude::*; use crate::dag::PyDAG; use crate::errors; +use crate::noderef::NodeArg; #[pymethods] impl PyDAG { /// Compute the dirty set: changed nodes plus their transitive descendants. /// /// Args: - /// changed: List of node names that have changed. + /// changed: List of node identifiers (str or NodeRef) that have changed. /// /// Returns: /// List of node names that need recomputation. - pub fn dirty_set(&self, py: Python<'_>, changed: Vec) -> PyResult> { - let refs: Vec<&str> = changed.iter().map(|s| s.as_str()).collect(); + pub fn dirty_set(&self, py: Python<'_>, changed: Vec) -> PyResult> { + let names: Vec = changed + .into_iter() + .map(|n| n.into_name(&self.inner)) + .collect::>()?; + let refs: Vec<&str> = names.iter().map(|s| s.as_str()).collect(); py.allow_threads(|| self.inner.dirty_set(&refs).map_err(errors::into_pyerr)) } /// For each dirty node, determine which changed nodes are its ancestors. /// /// Args: - /// changed: List of node names that have changed. + /// changed: List of node identifiers (str or NodeRef) that have changed. /// /// Returns: /// Dict mapping dirty node name to list of changed ancestor names. pub fn change_provenance( &self, py: Python<'_>, - changed: Vec, + changed: Vec, ) -> PyResult>> { - let refs: Vec<&str> = changed.iter().map(|s| s.as_str()).collect(); + let names: Vec = changed + .into_iter() + .map(|n| n.into_name(&self.inner)) + .collect::>()?; + let refs: Vec<&str> = names.iter().map(|s| s.as_str()).collect(); py.allow_threads(|| { self.inner .change_provenance(&refs) diff --git a/crates/dagron-py/src/introspection.rs b/crates/dagron-py/src/introspection.rs index e434677..2a0ade6 100644 --- a/crates/dagron-py/src/introspection.rs +++ b/crates/dagron-py/src/introspection.rs @@ -4,22 +4,26 @@ use crate::dag::PyDAG; use crate::errors; use crate::iterators::PyNodeIterator; use crate::node::PyNodeId; +use crate::noderef::NodeArg; #[pymethods] impl PyDAG { - /// Check if a node with the given name exists. - pub fn has_node(&self, name: &str) -> bool { - self.inner.has_node(name) + /// Check if a node with the given name (or NodeRef) exists. + pub fn has_node(&self, node: NodeArg) -> bool { + match node { + NodeArg::Name(s) => self.inner.has_node(&s), + NodeArg::Ref(r) => self.inner.resolve_ref(&r).is_ok(), + } } - /// Check if an edge exists between two nodes. + /// Check if an edge exists between two nodes (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If either node doesn't exist. - pub fn has_edge(&self, from_node: &str, to_node: &str) -> PyResult { - self.inner - .has_edge(from_node, to_node) - .map_err(errors::into_pyerr) + pub fn has_edge(&self, from_node: NodeArg, to_node: NodeArg) -> PyResult { + let from = from_node.into_name(&self.inner)?; + let to = to_node.into_name(&self.inner)?; + self.inner.has_edge(&from, &to).map_err(errors::into_pyerr) } /// Return the number of nodes in the graph. @@ -32,74 +36,81 @@ impl PyDAG { self.inner.edge_count() } - /// Get the payload associated with a node. + /// Get the payload associated with a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn get_payload(&self, py: Python<'_>, name: &str) -> PyResult> { - let p = self.inner.get_payload(name).map_err(errors::into_pyerr)?; + pub fn get_payload(&self, py: Python<'_>, node: NodeArg) -> PyResult> { + let name = node.into_name(&self.inner)?; + let p = self.inner.get_payload(&name).map_err(errors::into_pyerr)?; Ok(p.payload.as_ref().map(|v| v.clone_ref(py))) } - /// Set the payload for a node. + /// Set the payload for a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn set_payload(&mut self, name: &str, payload: Option>) -> PyResult<()> { + pub fn set_payload(&mut self, node: NodeArg, payload: Option>) -> PyResult<()> { + let name = node.into_name(&self.inner)?; let p = self .inner - .get_payload_mut(name) + .get_payload_mut(&name) .map_err(errors::into_pyerr)?; p.payload = payload; Ok(()) } - /// Get the metadata associated with a node. + /// Get the metadata associated with a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn get_metadata(&self, py: Python<'_>, name: &str) -> PyResult> { - let p = self.inner.get_payload(name).map_err(errors::into_pyerr)?; + pub fn get_metadata(&self, py: Python<'_>, node: NodeArg) -> PyResult> { + let name = node.into_name(&self.inner)?; + let p = self.inner.get_payload(&name).map_err(errors::into_pyerr)?; Ok(p.metadata.as_ref().map(|v| v.clone_ref(py))) } - /// Set the metadata for a node. + /// Set the metadata for a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn set_metadata(&mut self, name: &str, metadata: Option>) -> PyResult<()> { + pub fn set_metadata(&mut self, node: NodeArg, metadata: Option>) -> PyResult<()> { + let name = node.into_name(&self.inner)?; let p = self .inner - .get_payload_mut(name) + .get_payload_mut(&name) .map_err(errors::into_pyerr)?; p.metadata = metadata; Ok(()) } - /// Get the immediate predecessors (parents) of a node. + /// Get the immediate predecessors (parents) of a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn predecessors(&self, name: &str) -> PyResult> { - let nodes = self.inner.predecessors(name).map_err(errors::into_pyerr)?; + pub fn predecessors(&self, node: NodeArg) -> PyResult> { + let name = node.into_name(&self.inner)?; + let nodes = self.inner.predecessors(&name).map_err(errors::into_pyerr)?; Ok(nodes.into_iter().map(PyNodeId::from).collect()) } - /// Get the immediate successors (children) of a node. + /// Get the immediate successors (children) of a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn successors(&self, name: &str) -> PyResult> { - let nodes = self.inner.successors(name).map_err(errors::into_pyerr)?; + pub fn successors(&self, node: NodeArg) -> PyResult> { + let name = node.into_name(&self.inner)?; + let nodes = self.inner.successors(&name).map_err(errors::into_pyerr)?; Ok(nodes.into_iter().map(PyNodeId::from).collect()) } - /// Get all ancestors of a node (transitive predecessors). + /// Get all ancestors of a node (transitive predecessors). Accepts str or NodeRef. /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn ancestors(&self, py: Python<'_>, name: &str) -> PyResult> { - let idx = self.inner.resolve_name(name).map_err(errors::into_pyerr)?; + pub fn ancestors(&self, py: Python<'_>, node: NodeArg) -> PyResult> { + let name = node.into_name(&self.inner)?; + let idx = self.inner.resolve_name(&name).map_err(errors::into_pyerr)?; let graph_ref = self.inner.inner_graph(); let indices = py.allow_threads(|| dagron_core::algorithms::ancestors(graph_ref, idx)); Ok(indices @@ -111,12 +122,13 @@ impl PyDAG { .collect()) } - /// Get all descendants of a node (transitive successors). + /// Get all descendants of a node (transitive successors). Accepts str or NodeRef. /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn descendants(&self, py: Python<'_>, name: &str) -> PyResult> { - let idx = self.inner.resolve_name(name).map_err(errors::into_pyerr)?; + pub fn descendants(&self, py: Python<'_>, node: NodeArg) -> PyResult> { + let name = node.into_name(&self.inner)?; + let idx = self.inner.resolve_name(&name).map_err(errors::into_pyerr)?; let graph_ref = self.inner.inner_graph(); let indices = py.allow_threads(|| dagron_core::algorithms::descendants(graph_ref, idx)); Ok(indices @@ -128,20 +140,22 @@ impl PyDAG { .collect()) } - /// Get the in-degree (number of incoming edges) of a node. + /// Get the in-degree (number of incoming edges) of a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn in_degree(&self, name: &str) -> PyResult { - self.inner.in_degree(name).map_err(errors::into_pyerr) + pub fn in_degree(&self, node: NodeArg) -> PyResult { + let name = node.into_name(&self.inner)?; + self.inner.in_degree(&name).map_err(errors::into_pyerr) } - /// Get the out-degree (number of outgoing edges) of a node. + /// Get the out-degree (number of outgoing edges) of a node (str or NodeRef). /// /// Raises: /// NodeNotFoundError: If the node doesn't exist. - pub fn out_degree(&self, name: &str) -> PyResult { - self.inner.out_degree(name).map_err(errors::into_pyerr) + pub fn out_degree(&self, node: NodeArg) -> PyResult { + let name = node.into_name(&self.inner)?; + self.inner.out_degree(&name).map_err(errors::into_pyerr) } /// Get all root nodes (nodes with no incoming edges). @@ -196,9 +210,10 @@ impl PyDAG { PyNodeIterator::new(items) } - /// Return a lazy iterator over ancestors of a node. - pub fn iter_ancestors(&self, py: Python<'_>, name: &str) -> PyResult { - let idx = self.inner.resolve_name(name).map_err(errors::into_pyerr)?; + /// Return a lazy iterator over ancestors of a node (str or NodeRef). + pub fn iter_ancestors(&self, py: Python<'_>, node: NodeArg) -> PyResult { + let name = node.into_name(&self.inner)?; + let idx = self.inner.resolve_name(&name).map_err(errors::into_pyerr)?; let graph_ref = self.inner.inner_graph(); let indices = py.allow_threads(|| dagron_core::algorithms::ancestors(graph_ref, idx)); let items: Vec<(u32, String)> = indices @@ -208,9 +223,10 @@ impl PyDAG { Ok(PyNodeIterator::new(items)) } - /// Return a lazy iterator over descendants of a node. - pub fn iter_descendants(&self, py: Python<'_>, name: &str) -> PyResult { - let idx = self.inner.resolve_name(name).map_err(errors::into_pyerr)?; + /// Return a lazy iterator over descendants of a node (str or NodeRef). + pub fn iter_descendants(&self, py: Python<'_>, node: NodeArg) -> PyResult { + let name = node.into_name(&self.inner)?; + let idx = self.inner.resolve_name(&name).map_err(errors::into_pyerr)?; let graph_ref = self.inner.inner_graph(); let indices = py.allow_threads(|| dagron_core::algorithms::descendants(graph_ref, idx)); let items: Vec<(u32, String)> = indices diff --git a/crates/dagron-py/src/lib.rs b/crates/dagron-py/src/lib.rs index 3ef2fe2..4ee8905 100644 --- a/crates/dagron-py/src/lib.rs +++ b/crates/dagron-py/src/lib.rs @@ -9,6 +9,7 @@ pub mod introspection; pub mod iterators; pub mod matching; pub mod node; +pub mod noderef; pub mod partition; pub mod paths; pub mod payload; @@ -29,6 +30,7 @@ use pyo3::prelude::*; fn dagron(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_class::()?; m.add_class::()?; + m.add_class::()?; m.add_class::()?; m.add_class::()?; m.add_class::()?; @@ -59,6 +61,10 @@ fn dagron(m: &Bound<'_, PyModule>) -> PyResult<()> { m.py().get_type::(), )?; m.add("GraphError", m.py().get_type::())?; + m.add( + "StaleNodeRefError", + m.py().get_type::(), + )?; Ok(()) } diff --git a/crates/dagron-py/src/node.rs b/crates/dagron-py/src/node.rs index bdcc3e0..4170fa4 100644 --- a/crates/dagron-py/src/node.rs +++ b/crates/dagron-py/src/node.rs @@ -1,5 +1,10 @@ use pyo3::prelude::*; +/// A snapshot identifier for a node, returned by enumeration methods +/// (`nodes()`, `successors()`, `roots()`, …). Carries the node's `name` +/// plus its current internal `index`. The `index` is a snapshot — after +/// a node is removed it may be reused. For a stable handle, use +/// [`PyNodeRef`]. #[pyclass(frozen, eq, hash, name = "NodeId")] #[derive(Clone, PartialEq, Eq, Hash)] pub struct PyNodeId { @@ -28,3 +33,48 @@ impl From for PyNodeId { } } } + +/// A stable, persistent handle to a node, returned by `add_node`. +/// +/// `NodeRef` survives unrelated mutations and is invalidated only when its +/// own node is removed (or removed-and-readded with the same name, which +/// produces a fresh handle with a different `epoch`). Pass it anywhere a +/// `str` name is accepted — both forms are interchangeable in dagron's API. +#[pyclass(frozen, eq, hash, name = "NodeRef")] +#[derive(Clone, PartialEq, Eq, Hash)] +pub struct PyNodeRef { + pub inner: dagron_core::NodeRef, +} + +#[pymethods] +impl PyNodeRef { + /// The node's name. + #[getter] + pub fn name(&self) -> &str { + self.inner.name() + } + + /// The creation epoch this ref was minted with. + #[getter] + pub fn epoch(&self) -> u64 { + self.inner.epoch() + } + + fn __repr__(&self) -> String { + format!( + "NodeRef(name={:?}, epoch={})", + self.inner.name(), + self.inner.epoch() + ) + } + + fn __str__(&self) -> &str { + self.inner.name() + } +} + +impl From for PyNodeRef { + fn from(r: dagron_core::NodeRef) -> Self { + PyNodeRef { inner: r } + } +} diff --git a/crates/dagron-py/src/noderef.rs b/crates/dagron-py/src/noderef.rs new file mode 100644 index 0000000..b96bfce --- /dev/null +++ b/crates/dagron-py/src/noderef.rs @@ -0,0 +1,55 @@ +//! Helper for accepting either `str` or `NodeRef` as a node identifier +//! at the public API boundary. + +use pyo3::prelude::*; +use pyo3::types::PyString; + +use crate::errors; +use crate::node::PyNodeRef; +use crate::payload::PyNodePayload; + +/// A node identifier passed in from Python — either a plain string name +/// or a [`PyNodeRef`]. Use [`NodeArg::into_name`] to resolve to a `&str`, +/// validating any embedded NodeRef against the DAG. +pub enum NodeArg { + Name(String), + Ref(dagron_core::NodeRef), +} + +impl<'py> FromPyObject<'py> for NodeArg { + fn extract_bound(ob: &Bound<'py, PyAny>) -> PyResult { + if let Ok(s) = ob.downcast::() { + return Ok(NodeArg::Name(s.to_string())); + } + if let Ok(r) = ob.extract::>() { + return Ok(NodeArg::Ref(r.inner.clone())); + } + Err(pyo3::exceptions::PyTypeError::new_err( + "expected str or NodeRef for node identifier", + )) + } +} + +impl NodeArg { + /// Resolve to an owned name. If the arg is a `NodeRef`, validates it + /// against the DAG first (so a stale ref errors instead of silently + /// resolving by name). + pub fn into_name(self, dag: &dagron_core::DAG) -> PyResult { + match self { + NodeArg::Name(s) => Ok(s), + NodeArg::Ref(r) => { + dag.resolve_ref(&r).map_err(errors::into_pyerr)?; + Ok(r.name.to_string()) + } + } + } + + /// Borrow the name without consuming. NodeRef variants are NOT validated + /// here — use `into_name` if validation is required. + pub fn name_str(&self) -> &str { + match self { + NodeArg::Name(s) => s.as_str(), + NodeArg::Ref(r) => r.name(), + } + } +} diff --git a/crates/dagron-py/src/paths.rs b/crates/dagron-py/src/paths.rs index ebc7ecf..4f0d563 100644 --- a/crates/dagron-py/src/paths.rs +++ b/crates/dagron-py/src/paths.rs @@ -6,14 +6,15 @@ use pyo3::prelude::*; use crate::dag::PyDAG; use crate::errors; use crate::node::PyNodeId; +use crate::noderef::NodeArg; #[pymethods] impl PyDAG { /// Find all directed paths from one node to another. /// /// Args: - /// from_node: Source node name. - /// to_node: Target node name. + /// from_node: Source node (str or NodeRef). + /// to_node: Target node (str or NodeRef). /// limit: Maximum number of paths to return (None = unlimited). /// /// Returns: @@ -25,13 +26,15 @@ impl PyDAG { pub fn all_paths( &self, py: Python<'_>, - from_node: String, - to_node: String, + from_node: NodeArg, + to_node: NodeArg, limit: Option, ) -> PyResult>> { + let from = from_node.into_name(&self.inner)?; + let to = to_node.into_name(&self.inner)?; let inner_ref = &self.inner; let paths = py - .allow_threads(|| inner_ref.all_paths(&from_node, &to_node, limit)) + .allow_threads(|| inner_ref.all_paths(&from, &to, limit)) .map_err(errors::into_pyerr)?; Ok(paths .into_iter() @@ -42,8 +45,8 @@ impl PyDAG { /// Find the shortest path (fewest edges) between two nodes. /// /// Args: - /// from_node: Source node name. - /// to_node: Target node name. + /// from_node: Source node (str or NodeRef). + /// to_node: Target node (str or NodeRef). /// /// Returns: /// List of NodeId representing the path, or None if unreachable. @@ -53,12 +56,14 @@ impl PyDAG { pub fn shortest_path( &self, py: Python<'_>, - from_node: String, - to_node: String, + from_node: NodeArg, + to_node: NodeArg, ) -> PyResult>> { + let from = from_node.into_name(&self.inner)?; + let to = to_node.into_name(&self.inner)?; let inner_ref = &self.inner; let result = py - .allow_threads(|| inner_ref.shortest_path(&from_node, &to_node)) + .allow_threads(|| inner_ref.shortest_path(&from, &to)) .map_err(errors::into_pyerr)?; Ok(result.map(|path| path.into_iter().map(PyNodeId::from).collect())) } @@ -66,8 +71,8 @@ impl PyDAG { /// Find the longest weighted path between two nodes. /// /// Args: - /// from_node: Source node name. - /// to_node: Target node name. + /// from_node: Source node (str or NodeRef). + /// to_node: Target node (str or NodeRef). /// costs: Optional dict mapping node names to costs (default 1.0). /// /// Returns: @@ -79,14 +84,16 @@ impl PyDAG { pub fn longest_path( &self, py: Python<'_>, - from_node: String, - to_node: String, + from_node: NodeArg, + to_node: NodeArg, costs: Option>, ) -> PyResult, f64)>> { + let from = from_node.into_name(&self.inner)?; + let to = to_node.into_name(&self.inner)?; let costs_map: AHashMap = costs.unwrap_or_default().into_iter().collect(); let inner_ref = &self.inner; let result = py - .allow_threads(|| inner_ref.longest_path(&from_node, &to_node, &costs_map)) + .allow_threads(|| inner_ref.longest_path(&from, &to, &costs_map)) .map_err(errors::into_pyerr)?; Ok(result.map(|(path, cost)| (path.into_iter().map(PyNodeId::from).collect(), cost))) } diff --git a/crates/dagron-py/src/reachability.rs b/crates/dagron-py/src/reachability.rs index 31e5942..fe06079 100644 --- a/crates/dagron-py/src/reachability.rs +++ b/crates/dagron-py/src/reachability.rs @@ -5,6 +5,7 @@ use dagron_core::types::InternalNodeIndex; use crate::dag::PyDAG; use crate::errors; +use crate::noderef::NodeArg; /// Precomputed reachability index for O(1) ancestor/descendant queries. /// @@ -24,26 +25,26 @@ impl PyReachabilityIndex { /// Check if `from_node` can reach `to_node` in O(1). /// /// Args: - /// from_node: Source node name. - /// to_node: Target node name. + /// from_node: Source node (str or NodeRef). + /// to_node: Target node (str or NodeRef). /// /// Returns: /// True if from_node can reach to_node. - pub fn can_reach(&self, from_node: &str, to_node: &str) -> PyResult { - let from_idx = self.resolve(from_node)?; - let to_idx = self.resolve(to_node)?; + pub fn can_reach(&self, from_node: NodeArg, to_node: NodeArg) -> PyResult { + let from_idx = self.resolve(from_node.name_str())?; + let to_idx = self.resolve(to_node.name_str())?; Ok(self.inner.can_reach(from_idx, to_idx)) } /// All nodes reachable from `node` (excluding self). /// /// Args: - /// node: Node name. + /// node: Node (str or NodeRef). /// /// Returns: /// List of reachable node names. - pub fn reachable_from(&self, node: &str) -> PyResult> { - let idx = self.resolve(node)?; + pub fn reachable_from(&self, node: NodeArg) -> PyResult> { + let idx = self.resolve(node.name_str())?; Ok(self .inner .reachable_from(idx) @@ -55,12 +56,12 @@ impl PyReachabilityIndex { /// All nodes that can reach `node` (excluding self). /// /// Args: - /// node: Node name. + /// node: Node (str or NodeRef). /// /// Returns: /// List of ancestor node names. - pub fn ancestors_of(&self, node: &str) -> PyResult> { - let idx = self.resolve(node)?; + pub fn ancestors_of(&self, node: NodeArg) -> PyResult> { + let idx = self.resolve(node.name_str())?; Ok(self .inner .ancestors_of(idx) @@ -128,11 +129,13 @@ impl PyDAG { pub fn is_ancestor( &self, py: Python<'_>, - ancestor: String, - descendant: String, + ancestor: NodeArg, + descendant: NodeArg, ) -> PyResult { + let a = ancestor.into_name(&self.inner)?; + let d = descendant.into_name(&self.inner)?; let inner_ref = &self.inner; - py.allow_threads(|| inner_ref.is_ancestor(&ancestor, &descendant)) + py.allow_threads(|| inner_ref.is_ancestor(&a, &d)) .map_err(errors::into_pyerr) } } diff --git a/crates/dagron-py/src/subgraph.rs b/crates/dagron-py/src/subgraph.rs index 055ad51..36b841c 100644 --- a/crates/dagron-py/src/subgraph.rs +++ b/crates/dagron-py/src/subgraph.rs @@ -2,6 +2,7 @@ use pyo3::prelude::*; use crate::dag::PyDAG; use crate::errors; +use crate::noderef::NodeArg; use crate::transforms::clone_edges; #[pymethods] @@ -18,11 +19,17 @@ impl PyDAG { /// /// Raises: /// NodeNotFoundError: If any node doesn't exist. - pub fn subgraph(&self, py: Python<'_>, nodes: Vec) -> PyResult { + pub fn subgraph(&self, py: Python<'_>, nodes: Vec) -> PyResult { let mut new_dag = dagron_core::DAG::new(); + // Resolve all node args to validated names first + let names: Vec = nodes + .into_iter() + .map(|n| n.into_name(&self.inner)) + .collect::>()?; + // Add matching nodes with cloned payloads - for name in &nodes { + for name in &names { if !self.inner.has_node(name) { return Err(errors::into_pyerr(dagron_core::DagronError::NodeNotFound( name.clone(), @@ -57,7 +64,7 @@ impl PyDAG { pub fn subgraph_by_depth( &self, py: Python<'_>, - root: String, + root: NodeArg, depth: usize, direction: &str, ) -> PyResult { @@ -73,7 +80,11 @@ impl PyDAG { }; // Resolve root and compute neighborhood - let root_idx = self.inner.resolve_name(&root).map_err(errors::into_pyerr)?; + let root_name = root.into_name(&self.inner)?; + let root_idx = self + .inner + .resolve_name(&root_name) + .map_err(errors::into_pyerr)?; let neighborhood = py.allow_threads(|| { dagron_core::algorithms::depth_neighborhood( self.inner.inner_graph(), diff --git a/crates/dagron-py/src/transforms.rs b/crates/dagron-py/src/transforms.rs index 8f37228..b800065 100644 --- a/crates/dagron-py/src/transforms.rs +++ b/crates/dagron-py/src/transforms.rs @@ -2,6 +2,7 @@ use pyo3::prelude::*; use crate::dag::PyDAG; use crate::errors; +use crate::noderef::NodeArg; use crate::payload::PyNodePayload; /// Clone a PyNodePayload, using the GIL to clone Py references. @@ -86,11 +87,15 @@ impl PyDAG { pub fn collapse( &self, py: Python<'_>, - nodes: Vec, + nodes: Vec, collapsed_name: String, payload: Option, ) -> PyResult { - let node_refs: Vec<&str> = nodes.iter().map(|s| s.as_str()).collect(); + let node_names: Vec = nodes + .into_iter() + .map(|n| n.into_name(&self.inner)) + .collect::>()?; + let node_refs: Vec<&str> = node_names.iter().map(|s| s.as_str()).collect(); let collapse_set: std::collections::HashSet<&str> = node_refs.iter().copied().collect(); // Validate all nodes exist @@ -168,8 +173,13 @@ impl PyDAG { /// /// Returns: /// A list of (node, immediate_dominator) tuples. - pub fn dominator_tree(&self, py: Python<'_>, root: String) -> PyResult> { - py.allow_threads(|| self.inner.dominator_tree(&root).map_err(errors::into_pyerr)) + pub fn dominator_tree(&self, py: Python<'_>, root: NodeArg) -> PyResult> { + let root_name = root.into_name(&self.inner)?; + py.allow_threads(|| { + self.inner + .dominator_tree(&root_name) + .map_err(errors::into_pyerr) + }) } /// Create an independent snapshot (deep clone) of this DAG. diff --git a/docs/.gitignore b/docs/.gitignore index b2d6de3..9e429e4 100644 --- a/docs/.gitignore +++ b/docs/.gitignore @@ -1,20 +1,26 @@ -# Dependencies +# deps /node_modules -# Production -/build +# generated content +.source -# Generated files -.docusaurus -.cache-loader +# test & build +/coverage +/.next/ +/out/ +/build +*.tsbuildinfo -# Misc +# misc .DS_Store -.env.local -.env.development.local -.env.test.local -.env.production.local - +*.pem +/.pnp +.pnp.js npm-debug.log* yarn-debug.log* yarn-error.log* + +# others +.env*.local +.vercel +next-env.d.ts \ No newline at end of file diff --git a/docs/README.md b/docs/README.md index 0c6c2c2..cc081d2 100644 --- a/docs/README.md +++ b/docs/README.md @@ -1,41 +1,51 @@ -# Website +# dagron docs (Fumadocs) -This website is built using [Docusaurus](https://docusaurus.io/), a modern static website generator. +Side-by-side replacement for `../docs/` (Docusaurus). Once verified, this +directory will be swapped in as `docs/`. -### Installation +## Develop -``` -$ yarn +```bash +pnpm install +pnpm dev # http://localhost:3000 ``` -### Local Development +## Build for GitHub Pages -``` -$ yarn start +```bash +DOCS_BASE_PATH=/dagron pnpm build +npx serve out/ # then visit http://localhost:3000/dagron/ ``` -This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. +Local builds without `DOCS_BASE_PATH` serve cleanly from `/`. -### Build +## Lint & types +```bash +pnpm lint # biome +pnpm types:check # fumadocs-mdx + next typegen + tsc --noEmit ``` -$ yarn build -``` - -This command generates static content into the `build` directory and can be served using any static contents hosting service. -### Deployment +## Layout -Using SSH: - -``` -$ USE_SSH=true yarn deploy ``` +src/ +├── app/ # Next.js App Router +│ ├── (home)/ # marketing landing +│ ├── (docs)/ # docs sidebar + page renderer +│ └── api/ # Orama search endpoint, llms.txt routes +├── components/ +│ ├── ui/ # generic primitives (Button, CodePanel, SectionHeader) +│ ├── mdx.tsx # global MDX component map +│ ├── mermaid.tsx # client-side mermaid with theme awareness +│ └── ... # dagron-specific (DagDiagram, StatusBadge, FeatureCard, …) +└── lib/ + ├── source.ts # Fumadocs source loader + ├── shared.ts # appName, gitConfig, route constants + └── layout.shared.tsx # nav + sidebar config -Not using SSH: - -``` -$ GIT_USER= yarn deploy +content/docs/ # 54 MDX files, organised by guide/ + api/ ``` -If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. +Components are registered globally in `src/components/mdx.tsx`, so MDX +authors don't need to write `import` lines. diff --git a/docs/biome.json b/docs/biome.json index 0817143..87cba3b 100644 --- a/docs/biome.json +++ b/docs/biome.json @@ -1,55 +1,42 @@ { - "$schema": "https://biomejs.dev/schemas/2.4.9/schema.json", - "vcs": { - "enabled": true, - "clientKind": "git", - "useIgnoreFile": true - }, - "files": { - "ignoreUnknown": true, - "includes": ["src/**", "docusaurus.config.ts", "sidebars.ts"] - }, - "formatter": { - "enabled": true, - "indentStyle": "space", - "indentWidth": 2 - }, - "linter": { - "enabled": true, - "rules": { - "recommended": true, - "correctness": { - "noUnusedImports": "warn" - }, - "suspicious": { - "noExplicitAny": "off", - "noArrayIndexKey": "off" - }, - "a11y": { - "useButtonType": "warn", - "noStaticElementInteractions": "off", - "noLabelWithoutControl": "off" - }, - "complexity": { - "noImportantStyles": "off" - }, - "style": { - "noNonNullAssertion": "off" - } - } - }, - "javascript": { - "formatter": { - "quoteStyle": "single", - "trailingCommas": "all" - } - }, - "assist": { - "enabled": true, - "actions": { - "source": { - "organizeImports": "on" - } - } - } + "$schema": "https://biomejs.dev/schemas/2.4.14/schema.json", + "vcs": { + "enabled": true, + "clientKind": "git", + "useIgnoreFile": true + }, + "files": { + "ignoreUnknown": true, + "includes": [ + "**", + "!node_modules", + "!.next", + "!dist", + "!build", + "!.source", + "!src/app/global.css" + ] + }, + "formatter": { + "enabled": true, + "indentStyle": "space", + "indentWidth": 2 + }, + "linter": { + "enabled": true, + "rules": { + "recommended": true + }, + "domains": { + "next": "recommended", + "react": "recommended" + } + }, + "assist": { + "actions": { + "source": { + "organizeImports": "on" + } + } + } } diff --git a/docs/pages/api/analysis/analysis.mdx b/docs/content/docs/api/analysis/analysis.mdx similarity index 99% rename from docs/pages/api/analysis/analysis.mdx rename to docs/content/docs/api/analysis/analysis.mdx index 441651e..32ac74a 100644 --- a/docs/pages/api/analysis/analysis.mdx +++ b/docs/content/docs/api/analysis/analysis.mdx @@ -1,15 +1,8 @@ --- -sidebar_position: 16 -slug: /api/analysis/analysis title: Analysis description: API reference for dagron's graph analysis toolkit -- explain, what-if, lineage tracking, linting, schema validation, and query DSL. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Analysis - The analysis module provides tools for understanding, validating, and querying DAG structure. It includes node diagnostics (`explain`), hypothetical mutation analysis (`what_if`), data lineage tracking, structural linting, schema diff --git a/docs/pages/api/analysis/contracts.mdx b/docs/content/docs/api/analysis/contracts.mdx similarity index 98% rename from docs/pages/api/analysis/contracts.mdx rename to docs/content/docs/api/analysis/contracts.mdx index ca52d33..92b70ea 100644 --- a/docs/pages/api/analysis/contracts.mdx +++ b/docs/content/docs/api/analysis/contracts.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 17 title: Contracts description: API reference for dagron's type contract system -- declare, extract, and validate typed data contracts across DAG edges. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Contracts - The contracts module provides build-time type checking for DAG edges. You can declare the expected input and output types for each node, and the validator checks that producer output types are compatible with consumer diff --git a/docs/pages/api/analysis/dataframe.mdx b/docs/content/docs/api/analysis/dataframe.mdx similarity index 98% rename from docs/pages/api/analysis/dataframe.mdx rename to docs/content/docs/api/analysis/dataframe.mdx index e96e4bb..4ea040a 100644 --- a/docs/pages/api/analysis/dataframe.mdx +++ b/docs/content/docs/api/analysis/dataframe.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 18 title: DataFrames description: API reference for dagron's DataFrame integration -- schema validation for pandas and polars DataFrames at DAG edge boundaries. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# DataFrames - The dataframe module provides schema validation for pandas and polars DataFrames at DAG edge boundaries. Define expected column schemas (names, dtypes, nullability) and row count constraints for each node, then validate diff --git a/docs/content/docs/api/analysis/meta.json b/docs/content/docs/api/analysis/meta.json new file mode 100644 index 0000000..a15c79a --- /dev/null +++ b/docs/content/docs/api/analysis/meta.json @@ -0,0 +1,5 @@ +{ + "title": "Analysis & Validation", + "defaultOpen": false, + "pages": ["analysis", "contracts", "dataframe"] +} diff --git a/docs/pages/api/core/builder.mdx b/docs/content/docs/api/core/builder.mdx similarity index 98% rename from docs/pages/api/core/builder.mdx rename to docs/content/docs/api/core/builder.mdx index 4da40da..5216cb0 100644 --- a/docs/pages/api/core/builder.mdx +++ b/docs/content/docs/api/core/builder.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 2 title: "DAGBuilder" description: "API reference for DAGBuilder — the fluent builder pattern for constructing validated DAGs." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# DAGBuilder - The `DAGBuilder` provides a fluent, chainable API for constructing DAGs. Every mutating method returns `self`, so you can chain calls together. The builder validates the graph on `.build()`, ensuring you never receive an invalid DAG. diff --git a/docs/pages/api/core/core.mdx b/docs/content/docs/api/core/core.mdx similarity index 99% rename from docs/pages/api/core/core.mdx rename to docs/content/docs/api/core/core.mdx index 0d162ea..bbae650 100644 --- a/docs/pages/api/core/core.mdx +++ b/docs/content/docs/api/core/core.mdx @@ -1,15 +1,8 @@ --- -sidebar_position: 1 -slug: /api/core/core title: "Core — DAG, NodeId, GraphStats" description: "Complete API reference for the DAG class, NodeId, GraphStats, GraphDiff, ReachabilityIndex, and ExecutionPlan." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Core — DAG, NodeId, GraphStats - The core module provides the foundational graph data structure that powers every feature in dagron. The `DAG` class contains approximately 78 methods spanning construction, inspection, traversal, scheduling, transforms, serialization, and diff --git a/docs/pages/api/core/errors.mdx b/docs/content/docs/api/core/errors.mdx similarity index 97% rename from docs/pages/api/core/errors.mdx rename to docs/content/docs/api/core/errors.mdx index b86dde5..46b162b 100644 --- a/docs/pages/api/core/errors.mdx +++ b/docs/content/docs/api/core/errors.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 3 title: "Errors" description: "API reference for all dagron exception classes and the error hierarchy." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Errors - All dagron exceptions inherit from `DagronError`, making it easy to catch any library error with a single `except` clause. More specific exceptions allow targeted handling of individual failure modes. diff --git a/docs/content/docs/api/core/meta.json b/docs/content/docs/api/core/meta.json new file mode 100644 index 0000000..9097189 --- /dev/null +++ b/docs/content/docs/api/core/meta.json @@ -0,0 +1,5 @@ +{ + "title": "Core", + "defaultOpen": true, + "pages": ["core", "builder", "errors"] +} diff --git a/docs/pages/api/execution/caching.mdx b/docs/content/docs/api/execution/caching.mdx similarity index 98% rename from docs/pages/api/execution/caching.mdx rename to docs/content/docs/api/execution/caching.mdx index 7991934..4da15e8 100644 --- a/docs/pages/api/execution/caching.mdx +++ b/docs/content/docs/api/execution/caching.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 7 title: "Caching" description: "API reference for CachedDAGExecutor, ContentAddressableCache, CachePolicy, and cache backends." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Caching - The caching module provides content-addressable, Merkle-tree-based caching for DAG execution. A node's cache key is derived from its task code, its predecessors' output hashes, and its name — so if nothing upstream has changed, diff --git a/docs/pages/api/execution/checkpoint.mdx b/docs/content/docs/api/execution/checkpoint.mdx similarity index 97% rename from docs/pages/api/execution/checkpoint.mdx rename to docs/content/docs/api/execution/checkpoint.mdx index 9a13759..a0bf870 100644 --- a/docs/pages/api/execution/checkpoint.mdx +++ b/docs/content/docs/api/execution/checkpoint.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 8 title: "Checkpointing" description: "API reference for CheckpointExecutor and CheckpointInfo — save progress and resume execution after failures." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Checkpointing - The checkpointing module allows you to persist execution progress to disk and resume after failures. When a node completes, its result is saved to a checkpoint directory. If execution is interrupted (crash, timeout, manual stop), @@ -246,11 +240,10 @@ file: ... ``` -:::caution + Checkpoint files use Python's `pickle` module. Only resume from checkpoints you trust. Do not load checkpoint files from untrusted sources. -::: - + --- ## Related diff --git a/docs/pages/api/execution/conditions.mdx b/docs/content/docs/api/execution/conditions.mdx similarity index 98% rename from docs/pages/api/execution/conditions.mdx rename to docs/content/docs/api/execution/conditions.mdx index c2d2bf1..45680b0 100644 --- a/docs/pages/api/execution/conditions.mdx +++ b/docs/content/docs/api/execution/conditions.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 9 title: "Conditional Execution" description: "API reference for ConditionalDAGBuilder, ConditionalEdge, and ConditionalExecutor — predicate-gated edges that skip branches at runtime." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Conditional Execution - The conditional execution module allows edges in your DAG to carry predicate functions. At runtime, the executor evaluates each condition before traversing the edge. If the condition returns `False`, the downstream node (and its diff --git a/docs/pages/api/execution/distributed.mdx b/docs/content/docs/api/execution/distributed.mdx similarity index 98% rename from docs/pages/api/execution/distributed.mdx rename to docs/content/docs/api/execution/distributed.mdx index d665609..5d59af5 100644 --- a/docs/pages/api/execution/distributed.mdx +++ b/docs/content/docs/api/execution/distributed.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 13 title: "Distributed Execution" description: "API reference for DistributedExecutor, DistributedBackend, and PartitionedDAGExecutor — run DAGs across threads, processes, Ray, and Celery." --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Distributed Execution - The distributed execution module lets you run DAG tasks across multiple backends: threads, processes, Ray clusters, or Celery workers. A pluggable backend protocol makes it easy to integrate with any distributed computing @@ -197,11 +191,10 @@ Best for CPU-bound tasks. Tasks must be picklable. backend = dagron.MultiprocessingBackend(max_workers=4) ``` -:::caution + Tasks submitted to `MultiprocessingBackend` must be picklable. Lambdas and closures will fail. Use module-level functions instead. -::: - + ### RayBackend + + + + + + + +## Looking for the new typed handles? + +If you're new to the `NodeRef`, `@flow`, `Effect`, reactive engine, +content cache, and replay APIs, start with the [Typed & +Reactive](/typed-and-reactive) walkthrough — it composes everything +end-to-end with worked examples. diff --git a/docs/content/docs/api/meta.json b/docs/content/docs/api/meta.json new file mode 100644 index 0000000..48c759c --- /dev/null +++ b/docs/content/docs/api/meta.json @@ -0,0 +1,12 @@ +{ + "title": "API Reference", + "root": true, + "pages": [ + "index", + "core", + "execution", + "observability", + "analysis", + "utilities" + ] +} diff --git a/docs/content/docs/api/observability/meta.json b/docs/content/docs/api/observability/meta.json new file mode 100644 index 0000000..104b16f --- /dev/null +++ b/docs/content/docs/api/observability/meta.json @@ -0,0 +1,5 @@ +{ + "title": "Observability", + "defaultOpen": false, + "pages": ["tracing", "profiling"] +} diff --git a/docs/pages/api/observability/profiling.mdx b/docs/content/docs/api/observability/profiling.mdx similarity index 98% rename from docs/pages/api/observability/profiling.mdx rename to docs/content/docs/api/observability/profiling.mdx index 701ad7c..e8063d8 100644 --- a/docs/pages/api/observability/profiling.mdx +++ b/docs/content/docs/api/observability/profiling.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 15 title: Profiling description: API reference for dagron's post-execution profiling -- critical path analysis, slack computation, bottleneck detection, and parallelism efficiency. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Profiling - The profiling module analyzes completed executions against the DAG structure to identify the critical path, compute slack for every node, detect bottlenecks, and measure parallelism efficiency. Unlike tracing (which @@ -72,12 +66,11 @@ report = profile_execution(dag, result) print(report.summary()) ``` -:::note + Only nodes with `NodeStatus.COMPLETED` are included in the analysis. Failed, skipped, or cancelled nodes are excluded from critical path and slack computations. -::: - + --- ## ProfileReport diff --git a/docs/pages/api/observability/tracing.mdx b/docs/content/docs/api/observability/tracing.mdx similarity index 98% rename from docs/pages/api/observability/tracing.mdx rename to docs/content/docs/api/observability/tracing.mdx index be202b7..6d1ee6f 100644 --- a/docs/pages/api/observability/tracing.mdx +++ b/docs/content/docs/api/observability/tracing.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 14 title: Tracing description: API reference for dagron's execution tracing system — record, query, and export structured timeline events from DAG execution. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Tracing - The tracing module provides a structured timeline log of every event that occurs during DAG execution. Traces capture node starts, completions, failures, gate interactions, resource acquisitions, and cache events. You can export traces as diff --git a/docs/pages/api/utilities/compose.mdx b/docs/content/docs/api/utilities/compose.mdx similarity index 97% rename from docs/pages/api/utilities/compose.mdx rename to docs/content/docs/api/utilities/compose.mdx index cadda37..5d21b91 100644 --- a/docs/pages/api/utilities/compose.mdx +++ b/docs/content/docs/api/utilities/compose.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 21 title: Composition description: API reference for dagron's DAG composition -- merge multiple DAGs into one with namespace prefixes and cross-namespace connections. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Composition - The compose module provides multi-DAG composition with automatic namespace prefixing. Combine independent DAGs into a single unified graph, preserving node payloads and metadata, with optional cross-namespace connections. diff --git a/docs/pages/api/utilities/display.mdx b/docs/content/docs/api/utilities/display.mdx similarity index 97% rename from docs/pages/api/utilities/display.mdx rename to docs/content/docs/api/utilities/display.mdx index e649cc4..2d22969 100644 --- a/docs/pages/api/utilities/display.mdx +++ b/docs/content/docs/api/utilities/display.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 22 title: Display description: API reference for dagron's display utilities -- ASCII rendering, Jupyter SVG auto-display, and custom node formatting. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Display - The display module provides visualization utilities for DAGs. It includes ASCII rendering for terminals and logs, and SVG generation for Jupyter notebooks. The SVG renderer tries Graphviz first (Python package or CLI) diff --git a/docs/pages/api/utilities/integration.mdx b/docs/content/docs/api/utilities/integration.mdx similarity index 97% rename from docs/pages/api/utilities/integration.mdx rename to docs/content/docs/api/utilities/integration.mdx index 225470e..cfc7956 100644 --- a/docs/pages/api/utilities/integration.mdx +++ b/docs/content/docs/api/utilities/integration.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 23 title: Integration description: API reference for dagron's integration helpers -- build DAGs from dicts, dataclasses, and Pydantic models. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Integration - The integration module provides helpers for building DAGs from common Python data structures. The primary function, `from_records`, converts sequences of dicts, dataclasses, or Pydantic models into DAGs with minimal boilerplate. diff --git a/docs/content/docs/api/utilities/meta.json b/docs/content/docs/api/utilities/meta.json new file mode 100644 index 0000000..54734cb --- /dev/null +++ b/docs/content/docs/api/utilities/meta.json @@ -0,0 +1,13 @@ +{ + "title": "Utilities", + "defaultOpen": false, + "pages": [ + "template", + "versioning", + "compose", + "display", + "integration", + "plugins", + "modern-api" + ] +} diff --git a/docs/content/docs/api/utilities/modern-api.mdx b/docs/content/docs/api/utilities/modern-api.mdx new file mode 100644 index 0000000..8ff344b --- /dev/null +++ b/docs/content/docs/api/utilities/modern-api.mdx @@ -0,0 +1,198 @@ +--- +title: Modern API +description: API reference for the typed-handles + uniqueness modules — dagron.NodeRef, dagron.flow, dagron.Effect, dagron.reactive, dagron.contentcache, dagron.trace, dagron.stubgen. +--- + +API reference for the typed-handles and uniqueness modules — `NodeRef`, +`@dagron.flow`, `Effect`, `dagron.reactive`, `dagron.contentcache`, and +`dagron.trace`. For a +walkthrough of how they compose, see the +[Typed Handles & Reactive Engine](../../typed-and-reactive) guide. + +## `dagron.NodeRef` + +```python +class NodeRef: + name: str + epoch: int +``` + +Stable handle returned by `DAG.add_node()`. Survives unrelated graph +mutations; invalidated only when the underlying node is removed (or +remove-and-readded with the same name, which yields a fresh epoch). + +```python +dag.node_ref(name: str) -> NodeRef | None +``` + +Look up the current ref for a name without mutating the DAG. + +Every public method that previously took `name: str` now takes `NodeArg = str | NodeRef`: +`add_edge`, `remove_node`, `has_node`, `has_edge`, `get_payload`, `set_payload`, +`predecessors`, `successors`, `ancestors`, `descendants`, `subgraph`, +`subgraph_by_depth`, `collapse`, `dominator_tree`, `all_paths`, +`shortest_path`, `longest_path`, `dirty_set`, `change_provenance`, +`is_ancestor`, and the `ReachabilityIndex` query methods. + +Stale refs raise `dagron.StaleNodeRefError`. + +## `dagron.flow` + +```python +@dagron.task +def fn(...) -> T: ... + +@dagron.task(effect=Effect.NETWORK) +def fn(...) -> T: ... + +@dagron.flow +def pipeline(...) -> FlowFuture[T] | None: ... +``` + +| Member | Purpose | +|---|---| +| `task` | Decorator. Outside a `@flow`, executes normally. Inside one, records the call and returns `FlowFuture[R]`. Supports `effect=` keyword (defaults to `Effect.PURE`). | +| `flow` | Decorator. Wraps a function as a `Flow`. | +| `Flow.dag()` | Trace the body and return the built `DAG`. | +| `Flow.run(*args, **kwargs)` | Trace, build, execute synchronously → `ExecutionResult`. | +| `Flow.run_async(...)` | Async variant. | +| `Flow.__call__(...)` | Sugar for `run`. | +| `FlowFuture[T]` | Generic placeholder returned from `@task` calls inside a `@flow`. Pass to other tasks to wire deps. | +| `TaskSpec` | Metadata attached to every `@task` (`name`, `fn`, `dependencies`, `is_async`, `effect`). | + +`batch()` semantics aren't part of `dagron.flow` — they live in +[`dagron.reactive`](#dagronreactive). + +## `dagron.Effect` + +```python +class Effect(Enum): + PURE = "pure" + READ = "read" + WRITE = "write" + NETWORK = "network" + NONDETERMINISTIC = "nondeterministic" + + is_cacheable: bool + is_deterministic: bool + is_isolated: bool +``` + +```python +def effects_of(dag: DAG) -> dict[str, Effect] +``` + +Read every node's effect tag from a DAG built by `@dagron.flow`. Returns +`Effect.PURE` for nodes without a tag. + +`DAGExecutor(enforce_effect_isolation=True)` reads these tags and runs +`NONDETERMINISTIC` nodes through a shared lock, so they don't overlap. + +## `dagron.reactive` + +```python +import dagron.reactive as dr + +s = dr.signal(value) # → Signal[T] +c = dr.computed(lambda: ...) # → Computed[T] +w = dr.watch(lambda: ...) # → Watcher (also fires once now) +with dr.batch(): ... # glitch-free coalesced updates +``` + +| Member | API | +|---|---| +| `Signal[T]` | `__call__() -> T`, `set(v: T)`, `peek() -> T` (no tracking). Equality-checked sets are no-ops. | +| `Computed[T]` | `__call__() -> T`, `peek() -> T`. Lazy memoised. | +| `Watcher` | Auto-fires when any tracked dep changes. `.dispose()` to detach. | +| `batch()` | Context manager. Defers Watcher fires until the outermost block ends. Multiple signal mutations coalesce into one fire. | +| `signal()` / `computed()` / `watch()` | Convenience factories. | + +Track via thread-local; reads inside a `Computed` body or `Watcher` body +register the source as a dep. Observers are held by `weakref.WeakSet` +so dropped derived nodes don't leak. + +## `dagron.contentcache` + +```python +from dagron.contentcache import ContentCache, default_cache_dir + +cache = ContentCache(cache_dir=None, hasher=None) +cache.compute_or_cached(fn, args=(), kwargs=None, effect=None) -> tuple[Any, bool] +cache.get(fingerprint: bytes) -> tuple[Any, bool] +cache.put(fingerprint: bytes, value: Any) -> None +cache.has(fingerprint: bytes) -> bool +cache.delete(fingerprint: bytes) -> None +cache.clear() -> None +cache.hash(value: Any) -> bytes # delegates to the configured Hasher +``` + +| Helper | Purpose | +|---|---| +| `default_cache_dir()` | `$DAGRON_CACHE_DIR` or `~/.cache/dagron/cas`. | +| `default_hash(value)` | pickle + blake2b 256-bit. Falls back to `repr()` for unpickleable inputs. | +| `numpy_hash(value)` | `array.tobytes()` for numpy arrays; falls back to `default_hash`. | +| `fingerprint_function(fn)` | Hashes `co_code`, `co_consts`, `co_freevars`, qualname, Python major.minor. | +| `fingerprint_node(fn, effect, input_fingerprints)` | Composite fingerprint used as the cache key. | + +`compute_or_cached` is **effect-aware**: `WRITE` / `NETWORK` / +`NONDETERMINISTIC` skip the cache entirely; `PURE` and `READ` go through +it. + +Storage layout: `///.cache` where the +fingerprint hex is ``. POSIX `rename(2)` makes writes +atomic. The filesystem itself is the index — independent processes +share intermediates with no coordination. + +## `dagron.trace` + +```python +from dagron.trace import TraceWriter, TraceReader, TraceRecord, ReplayedNode, replay + +writer = TraceWriter(path, cas=None) +writer.record(name, *, value=None, effect=None, duration_ns=0, + error=None, metadata=None, timestamp=None) -> TraceRecord +writer.flush() +writer.close() # also via context manager + +reader = TraceReader(path, cas=None) +reader.records() -> Iterator[TraceRecord] +reader.records_until(t, *, inclusive=True) -> Iterator[TraceRecord] +reader.timeline() -> list[tuple[float, str]] +reader.fetch(rec) -> Any # resolves payload via the CAS + +replay(source, *, at=None, cas=None) -> dict[str, ReplayedNode] +``` + +`ReplayedNode` carries `name`, `timestamp`, `value`, `effect`, +`replayable`, `duration_ns`, `error`, and a derived `has_value` +property. `replayable` mirrors `effect.is_deterministic`: pure / READ +nodes can be reproduced; impure nodes' values are *what that run +produced*, not what a fresh run would produce. + +| Helper | Purpose | +|---|---| +| `default_trace_dir()` | `$DAGRON_TRACE_DIR` or `~/.cache/dagron/traces`. | +| `new_run_id()` | 16-hex-char random id for naming a run's log file. | +| `list_runs(trace_dir=None)` | Every `*.jsonl` under `trace_dir`. | + +Logs are append-only JSONL. Payloads live in the bound `ContentCache`, +deduplicated across runs that produced the same value. + +## `dagron.stubgen` + +```python +from dagron.stubgen import generate_stub + +generate_stub( + dag, + *, + type_hints: dict[str, type | str] | None = None, + tasks: dict[str, Callable] | None = None, + name: str = "TypedExecutionResult", +) -> str +``` + +Emits `.pyi`-formatted source declaring a class with `Literal["nodename"]` +overloads typed by inferred (or explicitly provided) return types. +Drop the result into a stub file alongside your code so even string-keyed +`result["nodename"]` lookups become statically typed. diff --git a/docs/pages/api/utilities/plugins.mdx b/docs/content/docs/api/utilities/plugins.mdx similarity index 98% rename from docs/pages/api/utilities/plugins.mdx rename to docs/content/docs/api/utilities/plugins.mdx index 272a45d..4843b9d 100644 --- a/docs/pages/api/utilities/plugins.mdx +++ b/docs/content/docs/api/utilities/plugins.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 24 title: Plugins description: API reference for dagron's plugin system -- lifecycle hooks, plugin discovery, the DashboardPlugin, and the @dagron_plugin decorator. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Plugins - The plugin system provides extensible lifecycle hooks for DAG construction and execution. Plugins can observe and react to events such as node starts, completions, failures, and full execution boundaries. dagron includes a @@ -398,12 +392,11 @@ thread for minimal Python overhead. {name: "open_browser", type: "bool", default: "False", description: "Automatically open the dashboard URL in the default browser on initialization."}, ]} /> -:::note + The `DashboardPlugin` requires dagron to be built with the `dashboard` Cargo feature. If the feature is not available, `initialize()` raises `ImportError` with instructions to rebuild. -::: - + ### Registered hooks The dashboard automatically registers hooks for these events: diff --git a/docs/pages/api/utilities/template.mdx b/docs/content/docs/api/utilities/template.mdx similarity index 98% rename from docs/pages/api/utilities/template.mdx rename to docs/content/docs/api/utilities/template.mdx index 277f7b1..1799e9f 100644 --- a/docs/pages/api/utilities/template.mdx +++ b/docs/content/docs/api/utilities/template.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 19 title: Templates description: API reference for dagron's DAG template system -- parameterized DAG construction with substitution, validation, and rendering. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Templates - The template module provides parameterized DAG construction. Define a DAG shape with placeholder values in node names (and optionally in payloads and metadata), then render concrete DAGs by supplying parameter values. Templates diff --git a/docs/pages/api/utilities/versioning.mdx b/docs/content/docs/api/utilities/versioning.mdx similarity index 98% rename from docs/pages/api/utilities/versioning.mdx rename to docs/content/docs/api/utilities/versioning.mdx index fdfe703..630154b 100644 --- a/docs/pages/api/utilities/versioning.mdx +++ b/docs/content/docs/api/utilities/versioning.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 20 title: Versioning description: API reference for dagron's DAG versioning system -- structural time-travel, mutation history, diffing, and forking. --- -import ApiSignature from '@site/src/components/ApiSignature'; -import ParamTable from '@site/src/components/ParamTable'; - -# Versioning - The versioning module provides structural versioning and time-travel for DAGs. Every mutation (add/remove node, add/remove edge, set payload/metadata) is recorded in an append-only log. You can navigate to any historical version, diff --git a/docs/pages/guide/advanced/contracts.mdx b/docs/content/docs/guide/advanced/contracts.mdx similarity index 98% rename from docs/pages/guide/advanced/contracts.mdx rename to docs/content/docs/guide/advanced/contracts.mdx index b8efbee..c259737 100644 --- a/docs/pages/guide/advanced/contracts.mdx +++ b/docs/content/docs/guide/advanced/contracts.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 17 title: Contracts description: Enforce type contracts across DAG edges to catch mismatches before execution. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Contracts - When DAGs grow large, it becomes easy for the output type of one node to drift from what a downstream node expects. dagron's **contract system** lets you declare input and output types for each node and validate them at build time -- before any task runs. This catches type mismatches early, similar to how a compiler checks function signatures. ```bash uv pip install pytest-benchmark networkx uv run python -m pytest tests/python/test_benchmarks.py --benchmark-only --benchmark-columns=mean,stddev,rounds -q ``` -::: - + All Python benchmarks below were measured with `pytest-benchmark` on a single machine. Rust-only benchmarks use [Criterion](https://bheisler.github.io/criterion.rs/). Numbers will vary by hardware — treat ratios as the meaningful signal. **Hardware:** AMD Ryzen / Intel Core (modern x86_64), Linux, Python 3.12, dagron 0.1.0. @@ -161,8 +157,8 @@ These benchmarks run entirely in Rust, showing the pure performance ceiling befo | Roots | 37 ns | | Leaves | 39 ns | -:::tip Run Rust benchmarks + ```bash cargo bench --bench graph_bench ``` -::: + \ No newline at end of file diff --git a/docs/pages/guide/cookbook.mdx b/docs/content/docs/guide/cookbook.mdx similarity index 97% rename from docs/pages/guide/cookbook.mdx rename to docs/content/docs/guide/cookbook.mdx index 6fb9a10..3f2cc1c 100644 --- a/docs/pages/guide/cookbook.mdx +++ b/docs/content/docs/guide/cookbook.mdx @@ -1,11 +1,8 @@ --- -sidebar_position: 4 title: Cookbook description: Complete real-world examples — build systems, spreadsheet engines, ETL pipelines, and CI/CD schedulers. --- -# Cookbook - Four complete examples showing how to use dagron in real-world scenarios. Each includes full code and a DAG diagram. --- @@ -87,10 +84,9 @@ executor.mark_changed("compile_lib") result = executor.execute(tasks) ``` -:::tip What this demonstrates + **Incremental execution** — only changed nodes and their downstream dependents re-execute. The second build is a no-op; the third only re-runs `compile_lib`, `link_binary`, and `run_tests`. -::: - + --- ## 2. Spreadsheet Formula Engine @@ -167,10 +163,9 @@ result = executor.execute(tasks) print(f"After edit: Price={cells['A1']}, Qty={cells['B1']}, Final={cells['F1']}") ``` -:::tip What this demonstrates + **Change propagation** — editing cell A1 triggers recalculation of only the cells that depend on it (C1, D1, E1, F1). B1 is untouched. -::: - + --- ## 3. ETL Pipeline with Checkpointing @@ -252,10 +247,9 @@ result = executor.execute(tasks) print(f" Pipeline completed: {result}") ``` -:::tip What this demonstrates + **Checkpointing** — the first run completes `extract` and `validate` before crashing. The second run skips those stages and resumes from `transform`. No wasted work. -::: - + --- ## 4. CI/CD Task Scheduler @@ -339,6 +333,6 @@ result = executor.execute(tasks) print(f"\nPipeline result: {result}") ``` -:::tip What this demonstrates + **Resource-aware scheduling** — with 4 CPU slots, `lint` (1 CPU) and `test_unit` (2 CPU) run in parallel (3 slots used). `test_integration` (2 CPU) waits until a slot frees up. The approval gate pauses execution until approved. -::: + \ No newline at end of file diff --git a/docs/pages/guide/core-concepts/building-dags.mdx b/docs/content/docs/guide/core-concepts/building-dags.mdx similarity index 98% rename from docs/pages/guide/core-concepts/building-dags.mdx rename to docs/content/docs/guide/core-concepts/building-dags.mdx index a7005ff..44ec635 100644 --- a/docs/pages/guide/core-concepts/building-dags.mdx +++ b/docs/content/docs/guide/core-concepts/building-dags.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 2 title: Building DAGs description: A comprehensive guide to constructing directed acyclic graphs in dagron — fluent builder, direct mutation, bulk operations, payloads, and metadata. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Building DAGs - dagron offers multiple ways to construct a directed acyclic graph. This guide covers every construction pattern, from quick one-liners to advanced builder configurations with payloads and metadata. diff --git a/docs/pages/guide/core-concepts/executing-tasks.mdx b/docs/content/docs/guide/core-concepts/executing-tasks.mdx similarity index 98% rename from docs/pages/guide/core-concepts/executing-tasks.mdx rename to docs/content/docs/guide/core-concepts/executing-tasks.mdx index 47d1490..b6cfc78 100644 --- a/docs/pages/guide/core-concepts/executing-tasks.mdx +++ b/docs/content/docs/guide/core-concepts/executing-tasks.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 3 title: Executing Tasks description: Run DAG tasks in parallel with DAGExecutor, AsyncDAGExecutor, and Pipeline — with timeouts, cancellation, callbacks, and result inspection. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Executing Tasks - Once you have a [DAG](/guide/core-concepts/building-dags), you need an **executor** to run it. dagron ships with several executor types — from a simple thread-pool executor to async, pipeline, conditional, dynamic, and incremental variants. This guide covers diff --git a/docs/pages/guide/core-concepts/inspecting-graphs.mdx b/docs/content/docs/guide/core-concepts/inspecting-graphs.mdx similarity index 98% rename from docs/pages/guide/core-concepts/inspecting-graphs.mdx rename to docs/content/docs/guide/core-concepts/inspecting-graphs.mdx index c16cfb2..b094dc8 100644 --- a/docs/pages/guide/core-concepts/inspecting-graphs.mdx +++ b/docs/content/docs/guide/core-concepts/inspecting-graphs.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 4 title: Inspecting Graphs description: Analyze your DAG's structure — topological ordering, critical path, predecessors, ancestors, explain, what-if, lint, and the query DSL. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Inspecting Graphs - dagron gives you deep introspection into your DAG's structure. This guide covers every analysis tool — from basic traversals to critical-path analysis, what-if exploration, linting, and the query DSL. diff --git a/docs/content/docs/guide/core-concepts/meta.json b/docs/content/docs/guide/core-concepts/meta.json new file mode 100644 index 0000000..2c0ecc8 --- /dev/null +++ b/docs/content/docs/guide/core-concepts/meta.json @@ -0,0 +1,11 @@ +{ + "title": "Core Concepts", + "defaultOpen": true, + "pages": [ + "building-dags", + "executing-tasks", + "inspecting-graphs", + "transforms", + "serialization" + ] +} diff --git a/docs/pages/guide/core-concepts/serialization.mdx b/docs/content/docs/guide/core-concepts/serialization.mdx similarity index 98% rename from docs/pages/guide/core-concepts/serialization.mdx rename to docs/content/docs/guide/core-concepts/serialization.mdx index 932ed22..265ef2a 100644 --- a/docs/pages/guide/core-concepts/serialization.mdx +++ b/docs/content/docs/guide/core-concepts/serialization.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 6 title: Serialization description: Save and load DAGs in JSON, binary, DOT, and Mermaid formats — plus custom payload serializers. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Serialization - dagron supports multiple serialization formats for persisting DAGs, sharing them across processes, embedding them in documentation, and visualizing them with external tools. This guide covers every format and shows how to handle custom @@ -253,7 +247,7 @@ print(dot) Output: -```dot +```text digraph { "extract" -> "transform" "transform" -> "load" diff --git a/docs/pages/guide/core-concepts/transforms.mdx b/docs/content/docs/guide/core-concepts/transforms.mdx similarity index 98% rename from docs/pages/guide/core-concepts/transforms.mdx rename to docs/content/docs/guide/core-concepts/transforms.mdx index cd2e983..7d0e760 100644 --- a/docs/pages/guide/core-concepts/transforms.mdx +++ b/docs/content/docs/guide/core-concepts/transforms.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 5 title: Graph Transforms description: Reshape your DAGs with reverse, filter, merge, collapse, transitive reduction, subgraph extraction, snapshots, and composition. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Graph Transforms - dagron provides a rich set of **structural transformations** that produce new DAGs from existing ones. Transforms are non-destructive — the original DAG is never mutated. This guide covers every built-in transform with before/after diagrams. @@ -148,10 +142,9 @@ print(merged.edge_count()) # 4 caption="Merged DAG. Node 'y' and 'z' were shared between the two inputs." /> -:::caution + If merging two DAGs would introduce a cycle, `merge()` raises a `CycleError`. -::: - + ## collapse() Replace a set of nodes with a single representative node. All incoming edges to diff --git a/docs/pages/guide/execution-strategies/approval-gates.mdx b/docs/content/docs/guide/execution-strategies/approval-gates.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/approval-gates.mdx rename to docs/content/docs/guide/execution-strategies/approval-gates.mdx index 599d93a..3f50472 100644 --- a/docs/pages/guide/execution-strategies/approval-gates.mdx +++ b/docs/content/docs/guide/execution-strategies/approval-gates.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 13 title: Approval Gates description: Pause DAG execution at human-in-the-loop gates that wait for explicit approval or rejection. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Approval Gates - Production pipelines often need a human checkpoint before proceeding. dagron's **approval gates** let you pause execution at specific nodes until an operator explicitly approves or rejects the step. This is useful for deployment sign-offs, data quality reviews, compliance checks, and any workflow that requires human judgment. Gates are **execution-time concerns**, not graph structure. The DAG itself stays pure; gates are attached via a `GateController` that the executor consults at runtime. diff --git a/docs/pages/guide/execution-strategies/caching.mdx b/docs/content/docs/guide/execution-strategies/caching.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/caching.mdx rename to docs/content/docs/guide/execution-strategies/caching.mdx index 4a8262a..37c5756 100644 --- a/docs/pages/guide/execution-strategies/caching.mdx +++ b/docs/content/docs/guide/execution-strategies/caching.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 14 title: Caching description: Content-addressable Merkle-tree caching for cross-run DAG execution with dagron. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Caching - dagron's caching system provides **content-addressable Merkle-tree caching** for DAG execution results. When you re-execute a pipeline, nodes whose inputs have not changed return their cached result instantly -- no recomputation needed. This is conceptually similar to how build systems like Bazel and Nix work: change any upstream node and all downstream cache keys automatically invalidate. Do not modify checkpoint files manually. The executor validates file integrity on resume and will reject tampered checkpoints. -::: - + ## When to clear checkpoints Clear checkpoints when: diff --git a/docs/pages/guide/execution-strategies/conditional.mdx b/docs/content/docs/guide/execution-strategies/conditional.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/conditional.mdx rename to docs/content/docs/guide/execution-strategies/conditional.mdx index 4146369..cfa0bab 100644 --- a/docs/pages/guide/execution-strategies/conditional.mdx +++ b/docs/content/docs/guide/execution-strategies/conditional.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 9 title: Conditional Execution description: Gate DAG branches with runtime predicates — skip nodes dynamically based on upstream results using ConditionalDAGBuilder and ConditionalExecutor. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Conditional Execution - Not every branch in a pipeline should always run. Sometimes you want to skip expensive model training if validation fails, route data to different processors based on its type, or gate a deployment step on quality metrics. dagron's diff --git a/docs/pages/guide/execution-strategies/distributed.mdx b/docs/content/docs/guide/execution-strategies/distributed.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/distributed.mdx rename to docs/content/docs/guide/execution-strategies/distributed.mdx index 8135c31..c18bb71 100644 --- a/docs/pages/guide/execution-strategies/distributed.mdx +++ b/docs/content/docs/guide/execution-strategies/distributed.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 19 title: Distributed Execution description: Execute DAG nodes across threads, processes, Ray clusters, and Celery workers with pluggable backends. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Distributed Execution - dagron's distributed execution system lets you run DAG nodes across different concurrency and distribution primitives -- from local thread pools to Ray clusters and Celery workers -- using a single, unified API. A pluggable `DistributedBackend` protocol abstracts away the transport, so you can switch from threads to Ray by changing one line. For large DAGs, the `PartitionedDAGExecutor` splits the graph into partitions and executes each partition as a unit, minimizing cross-partition communication. @@ -138,10 +132,9 @@ with DistributedExecutor(dag, backend) as executor: result = executor.execute(tasks) ``` -:::caution + Tasks must be **picklable** when using `MultiprocessingBackend`. Lambda functions and closures cannot be pickled. Use module-level functions instead. -::: - + ```python # This works: def compute_features(): diff --git a/docs/pages/guide/execution-strategies/dynamic-dags.mdx b/docs/content/docs/guide/execution-strategies/dynamic-dags.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/dynamic-dags.mdx rename to docs/content/docs/guide/execution-strategies/dynamic-dags.mdx index 9ab3863..85dea87 100644 --- a/docs/pages/guide/execution-strategies/dynamic-dags.mdx +++ b/docs/content/docs/guide/execution-strategies/dynamic-dags.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 10 title: Dynamic DAGs description: Expand the DAG at runtime based on node results — add or remove nodes dynamically with DynamicExecutor, expanders, and DynamicModification. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Dynamic DAGs - Sometimes you cannot know the full shape of your pipeline until execution is underway. A data-discovery step might reveal 50 tables that each need their own processing branch. A model-selection step might choose between three architectures. diff --git a/docs/pages/guide/execution-strategies/incremental.mdx b/docs/content/docs/guide/execution-strategies/incremental.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/incremental.mdx rename to docs/content/docs/guide/execution-strategies/incremental.mdx index 0478a9b..4e9bf0e 100644 --- a/docs/pages/guide/execution-strategies/incremental.mdx +++ b/docs/content/docs/guide/execution-strategies/incremental.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 7 title: Incremental Execution description: Re-execute only what changed — dirty sets, early cutoff, and the IncrementalExecutor for efficient recomputation. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Incremental Execution - When a small part of your input changes, you should not have to re-run the entire pipeline. dagron's **incremental execution** engine tracks which nodes are affected by a change, re-executes only those nodes, and applies **early cutoff** diff --git a/docs/content/docs/guide/execution-strategies/meta.json b/docs/content/docs/guide/execution-strategies/meta.json new file mode 100644 index 0000000..4960e12 --- /dev/null +++ b/docs/content/docs/guide/execution-strategies/meta.json @@ -0,0 +1,14 @@ +{ + "title": "Execution Strategies", + "defaultOpen": true, + "pages": [ + "incremental", + "conditional", + "dynamic-dags", + "checkpointing", + "caching", + "resource-scheduling", + "approval-gates", + "distributed" + ] +} diff --git a/docs/pages/guide/execution-strategies/resource-scheduling.mdx b/docs/content/docs/guide/execution-strategies/resource-scheduling.mdx similarity index 98% rename from docs/pages/guide/execution-strategies/resource-scheduling.mdx rename to docs/content/docs/guide/execution-strategies/resource-scheduling.mdx index 6681f3f..b905d3a 100644 --- a/docs/pages/guide/execution-strategies/resource-scheduling.mdx +++ b/docs/content/docs/guide/execution-strategies/resource-scheduling.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 12 title: Resource Scheduling description: Schedule DAG tasks with GPU, CPU, and memory constraints using dagron's resource-aware executors. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Resource Scheduling - Many real-world pipelines require access to scarce physical resources -- GPUs for model training, memory for large datasets, or CPU slots for compute-heavy transforms. dagron's resource scheduling system lets you declare per-node requirements and execute the DAG with a scheduler that respects capacity constraints at all times. The scheduler dispatches nodes in **bottom-level priority order** (longest-path-to-sink first), so the critical path gets resources before less important branches. diff --git a/docs/pages/guide/getting-started.mdx b/docs/content/docs/guide/getting-started.mdx similarity index 98% rename from docs/pages/guide/getting-started.mdx rename to docs/content/docs/guide/getting-started.mdx index dd7c445..c79bd20 100644 --- a/docs/pages/guide/getting-started.mdx +++ b/docs/content/docs/guide/getting-started.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 1 title: Getting Started description: Install dagron and build your first DAG — a complete walkthrough from zero to executing a parallel ETL pipeline. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Getting Started - This guide walks you through installing dagron, creating your first directed acyclic graph, executing tasks in parallel, and inspecting the results. By the end you will have a working ETL pipeline that extracts, transforms, and loads data with full @@ -36,11 +30,10 @@ import dagron print(dagron.__version__) ``` -:::tip System requirements + dagron requires Python 3.9 or later. The Rust extension is pre-compiled for Linux (x86_64, aarch64), macOS (x86_64, Apple Silicon), and Windows (x86_64). -::: - + ## Core concepts Before writing code, it helps to understand three concepts that appear throughout @@ -119,12 +112,11 @@ tasks = { } ``` -:::note + Each task runs independently. If you need to pass data between tasks, see the [Executing Tasks](/guide/core-concepts/executing-tasks) guide for strategies including shared state and the Pipeline API. -::: - + ### Step 3 — Execute Create a [`DAGExecutor`](/api/execution/execution) and call `.execute()`: diff --git a/docs/content/docs/guide/meta.json b/docs/content/docs/guide/meta.json new file mode 100644 index 0000000..56fdaa5 --- /dev/null +++ b/docs/content/docs/guide/meta.json @@ -0,0 +1,15 @@ +{ + "title": "Guide", + "root": true, + "pages": [ + "why-dagron", + "getting-started", + "benchmarks", + "cookbook", + "core-concepts", + "execution-strategies", + "observability", + "advanced", + "architecture" + ] +} diff --git a/docs/pages/guide/observability/error-handling.mdx b/docs/content/docs/guide/observability/error-handling.mdx similarity index 99% rename from docs/pages/guide/observability/error-handling.mdx rename to docs/content/docs/guide/observability/error-handling.mdx index 54bc08f..d6619e5 100644 --- a/docs/pages/guide/observability/error-handling.mdx +++ b/docs/content/docs/guide/observability/error-handling.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 22 title: Error Handling description: Understand dagron's error hierarchy, fail-fast behavior, and patterns for robust pipeline error recovery. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Error Handling - Pipelines fail. Data is missing, APIs time out, code has bugs. dagron provides a structured error hierarchy, clear fail-fast semantics, and patterns for graceful error recovery so you can build pipelines that handle failure predictably. --- diff --git a/docs/content/docs/guide/observability/meta.json b/docs/content/docs/guide/observability/meta.json new file mode 100644 index 0000000..86594a7 --- /dev/null +++ b/docs/content/docs/guide/observability/meta.json @@ -0,0 +1,5 @@ +{ + "title": "Observability", + "defaultOpen": false, + "pages": ["tracing-profiling", "visualization", "error-handling"] +} diff --git a/docs/pages/guide/observability/tracing-profiling.mdx b/docs/content/docs/guide/observability/tracing-profiling.mdx similarity index 98% rename from docs/pages/guide/observability/tracing-profiling.mdx rename to docs/content/docs/guide/observability/tracing-profiling.mdx index c892449..751a868 100644 --- a/docs/pages/guide/observability/tracing-profiling.mdx +++ b/docs/content/docs/guide/observability/tracing-profiling.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 8 title: Tracing & Profiling description: Record Chrome-compatible execution traces, analyse critical paths, detect bottlenecks, and profile parallelism efficiency. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Tracing & Profiling - When your DAG pipeline is slow, you need data — not guesswork. dagron provides two complementary observability tools: diff --git a/docs/pages/guide/observability/visualization.mdx b/docs/content/docs/guide/observability/visualization.mdx similarity index 98% rename from docs/pages/guide/observability/visualization.mdx rename to docs/content/docs/guide/observability/visualization.mdx index 1618f28..1184c3d 100644 --- a/docs/pages/guide/observability/visualization.mdx +++ b/docs/content/docs/guide/observability/visualization.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 21 title: Visualization description: Render DAGs as ASCII art, SVG, Graphviz DOT, Mermaid diagrams, and live web dashboards. --- -import DagDiagram from '@site/src/components/DagDiagram'; -import StatusBadge from '@site/src/components/StatusBadge'; - -# Visualization - dagron provides multiple ways to visualize your DAGs, from quick ASCII previews in the terminal to rich SVG renderings in Jupyter notebooks and live web dashboards for production monitoring. | Method | Output | Best for | @@ -196,7 +190,7 @@ print(dot_string) Output: -```dot +```text digraph { rankdir=TB; node [shape=box, style=rounded]; @@ -339,10 +333,9 @@ When a gate enters `WAITING` state, the dashboard shows clickable **Approve** an The dashboard web server is implemented in Rust using axum and tokio. It runs on a background OS thread and communicates with the Python hooks via thread-safe callbacks. The Rust implementation ensures low overhead even during high-frequency hook events. -:::note + The dashboard requires dagron to be built with the `dashboard` Cargo feature. If it is not available, importing `DashboardPlugin` raises an `ImportError` with build instructions. -::: - + --- ## Combining Visualization Methods diff --git a/docs/pages/guide/why-dagron.mdx b/docs/content/docs/guide/why-dagron.mdx similarity index 98% rename from docs/pages/guide/why-dagron.mdx rename to docs/content/docs/guide/why-dagron.mdx index 91e8189..d171378 100644 --- a/docs/pages/guide/why-dagron.mdx +++ b/docs/content/docs/guide/why-dagron.mdx @@ -1,11 +1,8 @@ --- -sidebar_position: 2 title: Why dagron? description: How dagron compares to NetworkX, graphlib, Dask, Airflow, and Prefect — and when to use it. --- -# Why dagron? - **dagron is an embeddable DAG library, not a deployment framework.** It gives your application a Rust-fast graph engine with Python ergonomics — no scheduler daemon, no YAML configs, no cloud console. You import dagron, build a graph, and execute it. Your process, your rules. diff --git a/docs/pages/intro.mdx b/docs/content/docs/index.mdx similarity index 96% rename from docs/pages/intro.mdx rename to docs/content/docs/index.mdx index f1afeb2..79ee2f5 100644 --- a/docs/pages/intro.mdx +++ b/docs/content/docs/index.mdx @@ -1,14 +1,8 @@ --- -sidebar_position: 1 -title: Introduction -description: dagron — a high-performance DAG execution engine for Python, powered by Rust. -slug: / +title: dagron +description: A high-performance DAG execution engine for Python, powered by Rust. --- -import FeatureCard from '@site/src/components/FeatureCard'; - -# dagron - **High-performance DAG execution engine for Python, powered by Rust.** **Up to 12x faster than NetworkX** on 10K-node DAG validation, with sub-microsecond reachability queries after index build. [See benchmarks](/guide/benchmarks). diff --git a/docs/content/docs/meta.json b/docs/content/docs/meta.json new file mode 100644 index 0000000..ea377da --- /dev/null +++ b/docs/content/docs/meta.json @@ -0,0 +1,4 @@ +{ + "title": "dagron", + "pages": ["index", "guide", "typed-and-reactive", "api"] +} diff --git a/docs/content/docs/typed-and-reactive/index.mdx b/docs/content/docs/typed-and-reactive/index.mdx new file mode 100644 index 0000000..7ae254b --- /dev/null +++ b/docs/content/docs/typed-and-reactive/index.mdx @@ -0,0 +1,295 @@ +--- +title: Typed Handles & Reactive Engine +description: NodeRef typed handles, @dagron.flow compose API, generic FlowFuture / NodeResult, effect tags, the reactive Signal/Computed/Watcher engine, the cross-process content cache, and time-travel replay. +--- + +dagron ships seven coordinated additions that move beyond stringly-typed +node addressing and add four headline differentiators no other Python DAG +library combines: typed handles, a Tawazi-style flow API, fine-grained +reactive recomputation, content-addressed cross-process caching, and +time-travel replay. Existing string-based code keeps working — every new +feature is opt-in. + +## 1. `NodeRef` — typed node handles + +`dag.add_node()` returns a stable `NodeRef`. Every public method that +takes a node identifier accepts both `str` and `NodeRef`, so existing +code keeps working. + +```python +from dagron import DAG, NodeRef + +dag = DAG() +extract = dag.add_node("extract") # NodeRef +transform = dag.add_node("transform") # NodeRef + +dag.add_edge(extract, transform) # NodeRef → NodeRef +dag.add_edge("extract", transform) # str → NodeRef +dag.add_edge(extract, "transform") # NodeRef → str + +isinstance(extract, NodeRef) # True +extract.name # "extract" +extract.epoch # 0 +``` + +NodeRefs survive unrelated mutations (adding other nodes / edges) and +detect *remove-then-readd*: removing `"extract"` and re-adding a node +with the same name produces a NodeRef with a different epoch, so the old +reference correctly raises `StaleNodeRefError`. + +```python +import pytest +from dagron import StaleNodeRefError + +dag.remove_node(extract) +new_extract = dag.add_node("extract") # fresh epoch +with pytest.raises(StaleNodeRefError): + dag.has_edge(extract, transform) # the old extract is stale +``` + +## 2. `@dagron.flow` — Pythonic compose API + +Build a DAG by writing a regular Python function. Each `@task` call +inside a `@flow` body records a node; passing one task's return value to +another wires the edge. No string IDs, no fluent builder — just Python. + +```python +import dagron + +@dagron.task +def fetch() -> list[int]: + return [1, 2, 3, 4] + +@dagron.task +def total(rows: list[int]) -> int: + return sum(rows) + +@dagron.task +def label(value: int) -> str: + return f"Total = {value}" + +@dagron.flow +def pipeline(): + return label(total(fetch())) + +dag = pipeline.dag() # the underlying DAG, for analysis +result = pipeline() # builds + runs → ExecutionResult +result["label"].result # "Total = 10" +``` + +The same `@task` decorator is compatible with the legacy parameter-name +inference of `Pipeline`, so a single set of tasks can power both APIs. +Inside a `@flow` context, calling `transform(raw)` returns a +`FlowFuture[T]` placeholder; outside one, it executes normally. + +## 3. Generic typing & `dagron.stubgen` + +`FlowFuture[T]` and `NodeResult[T]` carry the wrapped task's return type +all the way through: + +```python +from dagron import FlowFuture +from dagron.execution._types import NodeResult + +@dagron.task +def fetch() -> list[int]: ... + +@dagron.task +def total(rows: list[int]) -> int: ... + +@dagron.flow +def pipeline(): + raw = fetch() # type-checks as list[int] + return total(raw) # type-checks as int + +result = pipeline() +result[fetch].result # NodeResult[list[int]] → list[int] +result[total].result # NodeResult[int] → int +``` + +For string-keyed lookups, generate a stub: + +```python +from dagron.stubgen import generate_stub + +stub = generate_stub( + pipeline.dag(), + tasks={"fetch": fetch, "total": total}, + name="PipelineResult", +) +print(stub) +# class PipelineResult: +# @overload +# def __getitem__(self, key: Literal['fetch']) -> NodeResult[list[int]]: ... +# @overload +# def __getitem__(self, key: Literal['total']) -> NodeResult[int]: ... +``` + +Save the output as a `.pyi` file alongside your code; `mypy` will type +`result["fetch"]` as `NodeResult[list[int]]` even though `result` itself +is just `ExecutionResult`. + +## 4. Effect tags + +Tag every `@task` with its side-effect class — the engine uses these +for parallelism gating today and for cache / replay semantics in the +features below. + +```python +from dagron import Effect + +@dagron.task # defaults to Effect.PURE +def add(a: int, b: int) -> int: return a + b + +@dagron.task(effect=Effect.NETWORK) +def fetch_user(uid: int) -> dict: ... + +@dagron.task(effect=Effect.NONDETERMINISTIC) +def now() -> float: + import time; return time.time() +``` + +Properties: + +| Effect | `is_cacheable` | `is_deterministic` | `is_isolated` | +|--------|-----:|-----:|-----:| +| `PURE` | ✅ | ✅ | ❌ | +| `READ` | ✅ | ✅ | ❌ | +| `WRITE` | ❌ | ❌ | ❌ | +| `NETWORK` | ❌ | ❌ | ❌ | +| `NONDETERMINISTIC` | ❌ | ❌ | ✅ | + +`@flow` mirrors each task's effect onto its DAG node's metadata; read +back with `dagron.effects_of(dag)`. An AST-scan heuristic emits a +`UserWarning` when a `PURE` task appears to call impure functions +(`time.time`, `random.*`, `os.*`, `requests.*`, …). + +`DAGExecutor(enforce_effect_isolation=True)` serializes +`NONDETERMINISTIC` tasks while letting other effects parallelize freely. + +## 5. Reactive engine — `Signal` / `Computed` / `Watcher` + +`dagron.reactive` provides Solid.js / Jane-Street-`Incremental` style +primitives where the dependency graph is *implicit*: building a +`Computed` records its read dependencies as a side-effect of evaluating +the function. + +```python +import dagron.reactive as dr + +a = dr.signal(1) +b = dr.signal(2) +s = dr.computed(lambda: a() + b()) +p = dr.computed(lambda: s() * 10) + +p() # 30 — initial compute +a.set(5) # invalidates s and p; b untouched +p() # 70 — recomputes only s and p + +@dr.watch +def watch_p(): + print("p =", p()) + +with dr.batch(): # glitch-free + a.set(0) + b.set(0) +# watch_p fires exactly once after the batch, sees p == 0 +``` + +**Headline benchmark**: in a graph of 10,000 derived nodes off one root +signal, mutating the root and reading just one branch takes ~10 µs — +the engine recomputes only the read path, skipping the other 9999 +invalidated-but-unread branches. This is the differentiator no other +Python DAG library delivers. + +This module is distinct from the existing +`dagron.execution.reactive.ReactiveDAG`, which wraps a *pre-built* +`dagron.DAG` and exposes a push-based `subscribe()` / `set_input()` API. +Use whichever fits your shape: the reactive primitives for fresh +dependency graphs you build in code; `ReactiveDAG` to layer reactivity +over a DAG you already have. + +## 6. Cross-process content-addressed cache + +`dagron.contentcache` is Nix-flake-style: the cache is keyed by content +hash, the filesystem path *is* the index, and there's no +`index.json` to keep in sync. Independent processes share intermediates +transparently — a build on one CI worker hits the cache on another the +moment they compute the same fingerprint. + +```python +from dagron import Effect +from dagron.contentcache import ContentCache + +cache = ContentCache() # ~/.cache/dagron/cas + +def expensive(x: int) -> int: + return x * 1000 + +# First call: miss, computes, writes payload to CAS. +val, hit = cache.compute_or_cached(expensive, args=(42,), effect=Effect.PURE) +# In another process / another day: +val, hit = cache.compute_or_cached(expensive, args=(42,), effect=Effect.PURE) +# `hit` is True; the payload deserialized straight from disk. +``` + +Effect-aware: `WRITE` / `NETWORK` / `NONDETERMINISTIC` tasks bypass the +cache entirely (their results aren't reproducible). Pluggable via the +`Hasher` protocol — `default_hash` (pickle + blake2b) handles most +Python types; `numpy_hash` uses `array.tobytes()` for byte equality; +write your own for polars frames or any tobyte-friendly type. Honors +`$DAGRON_CACHE_DIR`. + +## 7. Time-travel replay + +`dagron.trace` writes an append-only JSONL log of node executions; each +record references a payload stored by fingerprint in the +`ContentCache`, so identical values across runs deduplicate +automatically. `replay(at=t)` walks the log up to time `t` and +reconstructs the per-node state. + +```python +from dagron.contentcache import ContentCache +from dagron.trace import TraceWriter, replay + +cas = ContentCache() +log_path = "run-2026-05.jsonl" + +with TraceWriter(log_path, cas=cas) as w: + w.record("fetch", value=[1, 2, 3], effect=Effect.PURE, timestamp=t0) + w.record("transform", value=6, effect=Effect.PURE, timestamp=t0 + 1) + w.record("publish", value="ok", effect=Effect.NETWORK, timestamp=t0 + 2) + +# Days later, in another process: +state = replay(log_path, at=t0 + 1.5, cas=cas) +state["fetch"].value # [1, 2, 3] — byte-identical to the original run +state["transform"].value # 6 +"publish" in state # False — cutoff was before publish ran + +state = replay(log_path, cas=cas) +state["publish"].value # "ok" — surfaced from the log +state["publish"].replayable # False — NETWORK is non-deterministic +``` + +Pure / READ nodes replay byte-identically. Impure nodes +(`WRITE`/`NETWORK`/`NONDETERMINISTIC`) are flagged `replayable=False` +but their *logged* values are still exposed, so you can audit what the +run actually produced. Honors `$DAGRON_TRACE_DIR`. + +## How they fit together + +The seven additions are designed to compose: + +* **NodeRef** is the substrate — every later API references nodes by + the typed handle. +* **`@flow`** records call structure into a `dagron.DAG`, mirroring each + task's **effect** onto node metadata. +* **`stubgen`** turns the `@flow`-built DAG into a typed lookup stub. +* **Effects** drive parallelism isolation, cache opt-in, and replay + reproducibility flags — one tag, three downstream behaviours. +* **Reactive** is the "live" face of computation; **content cache** is + its persistent face; **replay** is its retrospective face. + +You can adopt any subset independently. The string-based DAG API, +`Pipeline`, and the existing `ReactiveDAG` / `ContentAddressableCache` +classes remain unchanged. diff --git a/docs/content/docs/typed-and-reactive/meta.json b/docs/content/docs/typed-and-reactive/meta.json new file mode 100644 index 0000000..8c4b635 --- /dev/null +++ b/docs/content/docs/typed-and-reactive/meta.json @@ -0,0 +1,5 @@ +{ + "title": "Typed & Reactive", + "root": true, + "pages": ["index"] +} diff --git a/docs/docusaurus.config.ts b/docs/docusaurus.config.ts deleted file mode 100644 index b84298b..0000000 --- a/docs/docusaurus.config.ts +++ /dev/null @@ -1,147 +0,0 @@ -import type * as Preset from '@docusaurus/preset-classic'; -import type { Config, Plugin } from '@docusaurus/types'; -import { themes as prismThemes } from 'prism-react-renderer'; - -const config: Config = { - title: 'dagron', - tagline: 'High-performance DAG execution engine for Python, powered by Rust', - favicon: 'img/favicon.ico', - - url: 'https://byteveda.github.io', - baseUrl: '/dagron/', - - organizationName: 'ByteVeda', - projectName: 'dagron', - - onBrokenLinks: 'throw', - - i18n: { - defaultLocale: 'en', - locales: ['en'], - }, - - markdown: { - mermaid: true, - hooks: { - onBrokenMarkdownLinks: 'warn', - }, - }, - - themes: ['@docusaurus/theme-mermaid'], - - plugins: [ - function ignoreVscodeLanguageServerWarning(): Plugin { - return { - name: 'ignore-vscode-languageserver-warning', - configureWebpack() { - return { - ignoreWarnings: [{ module: /vscode-languageserver-types/ }], - }; - }, - }; - }, - ], - - presets: [ - [ - 'classic', - { - docs: { - path: 'pages', - routeBasePath: '/', - sidebarPath: './sidebars.ts', - }, - blog: false, - theme: { - customCss: './src/css/custom.css', - }, - } satisfies Preset.Options, - ], - ], - - themeConfig: { - image: 'img/dagron-social-card.png', - navbar: { - title: 'dagron', - items: [ - { - type: 'docSidebar', - sidebarId: 'guideSidebar', - position: 'left', - label: 'Guide', - }, - { - type: 'docSidebar', - sidebarId: 'apiSidebar', - position: 'left', - label: 'API Reference', - }, - { - href: 'https://github.com/ByteVeda/dagron/blob/master/CHANGELOG.md', - label: 'Changelog', - position: 'right', - }, - { - href: 'https://github.com/ByteVeda/dagron/blob/master/CONTRIBUTING.md', - label: 'Contributing', - position: 'right', - }, - { - href: 'https://github.com/ByteVeda/dagron', - label: 'GitHub', - position: 'right', - }, - ], - }, - footer: { - style: 'dark', - links: [ - { - title: 'Documentation', - items: [ - { label: 'Guide', to: '/guide/getting-started' }, - { label: 'API Reference', to: '/api/core/core' }, - ], - }, - { - title: 'More', - items: [ - { label: 'GitHub', href: 'https://github.com/ByteVeda/dagron' }, - { label: 'PyPI', href: 'https://pypi.org/project/dagron/' }, - { - label: 'Changelog', - href: 'https://github.com/ByteVeda/dagron/blob/master/CHANGELOG.md', - }, - { - label: 'Contributing', - href: 'https://github.com/ByteVeda/dagron/blob/master/CONTRIBUTING.md', - }, - ], - }, - ], - copyright: `Copyright © ${new Date().getFullYear()} dagron contributors.`, - }, - prism: { - theme: prismThemes.github, - darkTheme: prismThemes.dracula, - additionalLanguages: [ - 'python', - 'rust', - 'typescript', - 'bash', - 'json', - 'toml', - ], - }, - mermaid: { - theme: { light: 'default', dark: 'dark' }, - options: {}, - }, - colorMode: { - defaultMode: 'dark', - respectPrefersColorScheme: true, - }, - } satisfies Preset.ThemeConfig, -}; - -export default config; diff --git a/docs/next.config.mjs b/docs/next.config.mjs new file mode 100644 index 0000000..bf33f76 --- /dev/null +++ b/docs/next.config.mjs @@ -0,0 +1,23 @@ +import { createMDX } from "fumadocs-mdx/next"; + +const withMDX = createMDX(); + +// Set `DOCS_BASE_PATH=/taskito` in CI to deploy under github.io/taskito. +// Local `pnpm build && pnpm start` leaves it unset, so the static export +// serves cleanly from the root and `serve out` just works. +const basePath = process.env.DOCS_BASE_PATH ?? ""; + +/** @type {import('next').NextConfig} */ +const config = { + output: "export", + basePath, + reactStrictMode: true, + images: { + unoptimized: true, + }, + env: { + NEXT_PUBLIC_DOCS_BASE_PATH: basePath, + }, +}; + +export default withMDX(config); diff --git a/docs/package-lock.json b/docs/package-lock.json deleted file mode 100644 index 70f6f58..0000000 --- a/docs/package-lock.json +++ /dev/null @@ -1,19867 +0,0 @@ -{ - "name": "docs", - "version": "0.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "docs", - "version": "0.0.0", - "dependencies": { - "@docusaurus/core": "^3.9.2", - "@docusaurus/preset-classic": "^3.9.2", - "@docusaurus/theme-mermaid": "^3.9.2", - "@mdx-js/react": "^3.0.0", - "clsx": "^2.0.0", - "prism-react-renderer": "^2.3.0", - "react": "^19.0.0", - "react-dom": "^19.0.0" - }, - "devDependencies": { - "@biomejs/biome": "2.4.10", - "@docusaurus/module-type-aliases": "^3.9.2", - "@docusaurus/tsconfig": "^3.9.2", - 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micromark-util-chunked: 2.0.1 + micromark-util-combine-extensions: 2.0.1 + micromark-util-decode-numeric-character-reference: 2.0.2 + micromark-util-encode: 2.0.1 + micromark-util-normalize-identifier: 2.0.1 + micromark-util-resolve-all: 2.0.1 + micromark-util-sanitize-uri: 2.0.1 + micromark-util-subtokenize: 2.1.0 + micromark-util-symbol: 2.0.1 + micromark-util-types: 2.0.2 + transitivePeerDependencies: + - supports-color + + mime-db@1.33.0: {} + + mime-db@1.54.0: {} + + mime-types@2.1.18: + dependencies: + mime-db: 1.33.0 + + mimic-fn@2.1.0: {} + + minimatch@3.1.5: + dependencies: + brace-expansion: 1.1.14 + + minimist@1.2.8: {} + + motion-dom@12.38.0: + dependencies: + motion-utils: 12.36.0 + + motion-utils@12.36.0: {} + + motion@12.38.0(react-dom@19.2.6(react@19.2.6))(react@19.2.6): + dependencies: + framer-motion: 12.38.0(react-dom@19.2.6(react@19.2.6))(react@19.2.6) + tslib: 2.8.1 + optionalDependencies: + react: 19.2.6 + react-dom: 19.2.6(react@19.2.6) + + ms@2.0.0: {} + + ms@2.1.3: {} + + nanoid@3.3.12: {} + + negotiator@0.6.4: {} + + next-themes@0.4.6(react-dom@19.2.6(react@19.2.6))(react@19.2.6): + dependencies: + react: 19.2.6 + react-dom: 19.2.6(react@19.2.6) + + next@16.2.4(react-dom@19.2.6(react@19.2.6))(react@19.2.6): + dependencies: + '@next/env': 16.2.4 + '@swc/helpers': 0.5.15 + baseline-browser-mapping: 2.10.29 + caniuse-lite: 1.0.30001792 + postcss: 8.4.31 + react: 19.2.6 + react-dom: 19.2.6(react@19.2.6) + styled-jsx: 5.1.6(react@19.2.6) + optionalDependencies: + '@next/swc-darwin-arm64': 16.2.4 + '@next/swc-darwin-x64': 16.2.4 + '@next/swc-linux-arm64-gnu': 16.2.4 + '@next/swc-linux-arm64-musl': 16.2.4 + '@next/swc-linux-x64-gnu': 16.2.4 + '@next/swc-linux-x64-musl': 16.2.4 + '@next/swc-win32-arm64-msvc': 16.2.4 + '@next/swc-win32-x64-msvc': 16.2.4 + sharp: 0.34.5 + transitivePeerDependencies: + - '@babel/core' + - babel-plugin-macros + + npm-run-path@4.0.1: + dependencies: + path-key: 3.1.1 + + on-headers@1.1.0: {} + + onetime@5.1.2: + dependencies: + mimic-fn: 2.1.0 + + oniguruma-parser@0.12.2: {} + + oniguruma-to-es@4.3.6: + dependencies: + oniguruma-parser: 0.12.2 + regex: 6.1.0 + regex-recursion: 6.0.2 + + package-manager-detector@1.6.0: {} + + parse-entities@4.0.2: + dependencies: + '@types/unist': 2.0.11 + character-entities-legacy: 3.0.0 + character-reference-invalid: 2.0.1 + decode-named-character-reference: 1.3.0 + is-alphanumerical: 2.0.1 + is-decimal: 2.0.1 + is-hexadecimal: 2.0.1 + + parse5@7.3.0: + dependencies: + entities: 6.0.1 + + path-data-parser@0.1.0: {} + + path-is-inside@1.0.2: {} + + path-key@3.1.1: {} + + path-to-regexp@3.3.0: {} + + picocolors@1.1.1: {} + + picomatch@4.0.4: {} + + points-on-curve@0.2.0: {} + + points-on-path@0.2.1: + dependencies: + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + + postcss@8.4.31: + dependencies: + nanoid: 3.3.12 + picocolors: 1.1.1 + source-map-js: 1.2.1 + + postcss@8.5.14: + dependencies: + nanoid: 3.3.12 + picocolors: 1.1.1 + source-map-js: 1.2.1 + + property-information@7.1.0: {} + + range-parser@1.2.0: {} + + rc@1.2.8: + dependencies: + deep-extend: 0.6.0 + ini: 1.3.8 + minimist: 1.2.8 + strip-json-comments: 2.0.1 + + react-dom@19.2.6(react@19.2.6): + dependencies: + react: 19.2.6 + scheduler: 0.27.0 + + react-remove-scroll-bar@2.3.8(@types/react@19.2.14)(react@19.2.6): + dependencies: + react: 19.2.6 + react-style-singleton: 2.2.3(@types/react@19.2.14)(react@19.2.6) + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + react-remove-scroll@2.7.2(@types/react@19.2.14)(react@19.2.6): + dependencies: + react: 19.2.6 + react-remove-scroll-bar: 2.3.8(@types/react@19.2.14)(react@19.2.6) + react-style-singleton: 2.2.3(@types/react@19.2.14)(react@19.2.6) + tslib: 2.8.1 + use-callback-ref: 1.3.3(@types/react@19.2.14)(react@19.2.6) + use-sidecar: 1.1.3(@types/react@19.2.14)(react@19.2.6) + optionalDependencies: + '@types/react': 19.2.14 + + react-style-singleton@2.2.3(@types/react@19.2.14)(react@19.2.6): + dependencies: + get-nonce: 1.0.1 + react: 19.2.6 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + react@19.2.6: {} + + readdirp@5.0.0: {} + + recma-build-jsx@1.0.0: + dependencies: + '@types/estree': 1.0.9 + estree-util-build-jsx: 3.0.1 + vfile: 6.0.3 + + recma-jsx@1.0.1(acorn@8.16.0): + dependencies: + acorn: 8.16.0 + acorn-jsx: 5.3.2(acorn@8.16.0) + estree-util-to-js: 2.0.0 + recma-parse: 1.0.0 + recma-stringify: 1.0.0 + unified: 11.0.5 + + recma-parse@1.0.0: + dependencies: + '@types/estree': 1.0.9 + esast-util-from-js: 2.0.1 + unified: 11.0.5 + vfile: 6.0.3 + + recma-stringify@1.0.0: + dependencies: + '@types/estree': 1.0.9 + estree-util-to-js: 2.0.0 + unified: 11.0.5 + vfile: 6.0.3 + + regex-recursion@6.0.2: + dependencies: + regex-utilities: 2.3.0 + + regex-utilities@2.3.0: {} + + regex@6.1.0: + dependencies: + regex-utilities: 2.3.0 + + registry-auth-token@3.3.2: + dependencies: + rc: 1.2.8 + safe-buffer: 5.2.1 + + registry-url@3.1.0: + dependencies: + rc: 1.2.8 + + rehype-raw@7.0.0: + dependencies: + '@types/hast': 3.0.4 + hast-util-raw: 9.1.0 + vfile: 6.0.3 + + rehype-recma@1.0.0: + dependencies: + '@types/estree': 1.0.9 + '@types/hast': 3.0.4 + hast-util-to-estree: 3.1.3 + transitivePeerDependencies: + - supports-color + + remark-gfm@4.0.1: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-gfm: 3.1.0 + micromark-extension-gfm: 3.0.0 + remark-parse: 11.0.0 + remark-stringify: 11.0.0 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + + remark-mdx@3.1.1: + dependencies: + mdast-util-mdx: 3.0.0 + micromark-extension-mdxjs: 3.0.0 + transitivePeerDependencies: + - supports-color + + remark-parse@11.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-from-markdown: 2.0.3 + micromark-util-types: 2.0.2 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + + remark-rehype@11.1.2: + dependencies: + '@types/hast': 3.0.4 + '@types/mdast': 4.0.4 + mdast-util-to-hast: 13.2.1 + unified: 11.0.5 + vfile: 6.0.3 + + remark-stringify@11.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-to-markdown: 2.1.2 + unified: 11.0.5 + + remark@15.0.1: + dependencies: + '@types/mdast': 4.0.4 + remark-parse: 11.0.0 + remark-stringify: 11.0.0 + unified: 11.0.5 + transitivePeerDependencies: + - supports-color + + require-from-string@2.0.2: {} + + robust-predicates@3.0.3: {} + + roughjs@4.6.6: + dependencies: + hachure-fill: 0.5.2 + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + points-on-path: 0.2.1 + + rw@1.3.3: {} + + safe-buffer@5.2.1: {} + + safer-buffer@2.1.2: {} + + scheduler@0.27.0: {} + + scroll-into-view-if-needed@3.1.0: + dependencies: + compute-scroll-into-view: 3.1.1 + + semver@7.8.0: + optional: true + + serve-handler@6.1.7: + dependencies: + bytes: 3.0.0 + content-disposition: 0.5.2 + mime-types: 2.1.18 + minimatch: 3.1.5 + path-is-inside: 1.0.2 + path-to-regexp: 3.3.0 + range-parser: 1.2.0 + + serve@14.2.6: + dependencies: + '@zeit/schemas': 2.36.0 + ajv: 8.18.0 + arg: 5.0.2 + boxen: 7.0.0 + chalk: 5.0.1 + chalk-template: 0.4.0 + clipboardy: 3.0.0 + compression: 1.8.1 + is-port-reachable: 4.0.0 + serve-handler: 6.1.7 + update-check: 1.5.4 + transitivePeerDependencies: + - supports-color + + sharp@0.34.5: + dependencies: + '@img/colour': 1.1.0 + detect-libc: 2.1.2 + semver: 7.8.0 + optionalDependencies: + '@img/sharp-darwin-arm64': 0.34.5 + '@img/sharp-darwin-x64': 0.34.5 + '@img/sharp-libvips-darwin-arm64': 1.2.4 + '@img/sharp-libvips-darwin-x64': 1.2.4 + '@img/sharp-libvips-linux-arm': 1.2.4 + '@img/sharp-libvips-linux-arm64': 1.2.4 + '@img/sharp-libvips-linux-ppc64': 1.2.4 + '@img/sharp-libvips-linux-riscv64': 1.2.4 + '@img/sharp-libvips-linux-s390x': 1.2.4 + '@img/sharp-libvips-linux-x64': 1.2.4 + '@img/sharp-libvips-linuxmusl-arm64': 1.2.4 + '@img/sharp-libvips-linuxmusl-x64': 1.2.4 + '@img/sharp-linux-arm': 0.34.5 + '@img/sharp-linux-arm64': 0.34.5 + '@img/sharp-linux-ppc64': 0.34.5 + '@img/sharp-linux-riscv64': 0.34.5 + '@img/sharp-linux-s390x': 0.34.5 + '@img/sharp-linux-x64': 0.34.5 + '@img/sharp-linuxmusl-arm64': 0.34.5 + '@img/sharp-linuxmusl-x64': 0.34.5 + '@img/sharp-wasm32': 0.34.5 + '@img/sharp-win32-arm64': 0.34.5 + '@img/sharp-win32-ia32': 0.34.5 + '@img/sharp-win32-x64': 0.34.5 + optional: true + + shebang-command@2.0.0: + dependencies: + shebang-regex: 3.0.0 + + shebang-regex@3.0.0: {} + + shiki@4.0.2: + dependencies: + '@shikijs/core': 4.0.2 + '@shikijs/engine-javascript': 4.0.2 + '@shikijs/engine-oniguruma': 4.0.2 + '@shikijs/langs': 4.0.2 + '@shikijs/themes': 4.0.2 + '@shikijs/types': 4.0.2 + '@shikijs/vscode-textmate': 10.0.2 + '@types/hast': 3.0.4 + + signal-exit@3.0.7: {} + + source-map-js@1.2.1: {} + + source-map@0.7.6: {} + + space-separated-tokens@2.0.2: {} + + string-width@4.2.3: + dependencies: + emoji-regex: 8.0.0 + is-fullwidth-code-point: 3.0.0 + strip-ansi: 6.0.1 + + string-width@5.1.2: + dependencies: + eastasianwidth: 0.2.0 + emoji-regex: 9.2.2 + strip-ansi: 7.2.0 + + stringify-entities@4.0.4: + dependencies: + character-entities-html4: 2.1.0 + character-entities-legacy: 3.0.0 + + strip-ansi@6.0.1: + dependencies: + ansi-regex: 5.0.1 + + strip-ansi@7.2.0: + dependencies: + ansi-regex: 6.2.2 + + strip-final-newline@2.0.0: {} + + strip-json-comments@2.0.1: {} + + style-to-js@1.1.21: + dependencies: + style-to-object: 1.0.14 + + style-to-object@1.0.14: + dependencies: + inline-style-parser: 0.2.7 + + styled-jsx@5.1.6(react@19.2.6): + dependencies: + client-only: 0.0.1 + react: 19.2.6 + + stylis@4.4.0: {} + + supports-color@7.2.0: + dependencies: + has-flag: 4.0.0 + + tailwind-merge@3.5.0: {} + + tailwindcss@4.3.0: {} + + tapable@2.3.3: {} + + tinyexec@1.1.2: {} + + tinyglobby@0.2.16: + dependencies: + fdir: 6.5.0(picomatch@4.0.4) + picomatch: 4.0.4 + + trim-lines@3.0.1: {} + + trough@2.2.0: {} + + ts-dedent@2.2.0: {} + + tslib@2.8.1: {} + + type-fest@2.19.0: {} + + typescript@6.0.3: {} + + undici-types@7.19.2: {} + + unified@11.0.5: + dependencies: + '@types/unist': 3.0.3 + bail: 2.0.2 + devlop: 1.1.0 + extend: 3.0.2 + is-plain-obj: 4.1.0 + trough: 2.2.0 + vfile: 6.0.3 + + unist-util-is@6.0.1: + dependencies: + '@types/unist': 3.0.3 + + unist-util-position-from-estree@2.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-position@5.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-remove-position@5.0.0: + dependencies: + '@types/unist': 3.0.3 + unist-util-visit: 5.1.0 + + unist-util-stringify-position@4.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-visit-parents@6.0.2: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + + unist-util-visit@5.1.0: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + unist-util-visit-parents: 6.0.2 + + update-check@1.5.4: + dependencies: + registry-auth-token: 3.3.2 + registry-url: 3.1.0 + + use-callback-ref@1.3.3(@types/react@19.2.14)(react@19.2.6): + dependencies: + react: 19.2.6 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + use-sidecar@1.1.3(@types/react@19.2.14)(react@19.2.6): + dependencies: + detect-node-es: 1.1.0 + react: 19.2.6 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.14 + + uuid@11.1.1: {} + + vary@1.1.2: {} + + vfile-location@5.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile: 6.0.3 + + vfile-message@4.0.3: + dependencies: + '@types/unist': 3.0.3 + unist-util-stringify-position: 4.0.0 + + vfile@6.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile-message: 4.0.3 + + vscode-jsonrpc@8.2.0: {} + + vscode-languageserver-protocol@3.17.5: + dependencies: + vscode-jsonrpc: 8.2.0 + vscode-languageserver-types: 3.17.5 + + vscode-languageserver-textdocument@1.0.12: {} + + vscode-languageserver-types@3.17.5: {} + + vscode-languageserver@9.0.1: + dependencies: + vscode-languageserver-protocol: 3.17.5 + + vscode-uri@3.1.0: {} + + web-namespaces@2.0.1: {} + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + widest-line@4.0.1: + dependencies: + string-width: 5.1.2 + + wrap-ansi@8.1.0: + dependencies: + ansi-styles: 6.2.3 + string-width: 5.1.2 + strip-ansi: 7.2.0 + + zod@4.4.3: {} + + zwitch@2.0.4: {} diff --git a/docs/postcss.config.mjs b/docs/postcss.config.mjs new file mode 100644 index 0000000..61e3684 --- /dev/null +++ b/docs/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/docs/static/.nojekyll b/docs/public/.nojekyll similarity index 100% rename from docs/static/.nojekyll rename to docs/public/.nojekyll diff --git a/docs/static/img/favicon.ico b/docs/public/img/favicon.ico similarity index 100% rename from docs/static/img/favicon.ico rename to docs/public/img/favicon.ico diff --git a/docs/static/img/logo.svg b/docs/public/img/logo.svg similarity index 100% rename from docs/static/img/logo.svg rename to docs/public/img/logo.svg diff --git a/docs/scripts/migrate.mjs b/docs/scripts/migrate.mjs new file mode 100644 index 0000000..a38e394 --- /dev/null +++ b/docs/scripts/migrate.mjs @@ -0,0 +1,161 @@ +#!/usr/bin/env node +/** + * One-shot migrator: docs/pages/**.mdx → docs-next/content/docs/**.mdx + * + * Transforms applied to each MDX file: + * 1. Drop frontmatter keys `sidebar_position` and `slug` (Fumadocs uses + * per-directory meta.json + file path for routing). + * 2. Drop `import X from '@site/src/components/X'` lines — components + * are globally registered via src/components/mdx.tsx. + * 3. Convert Docusaurus admonitions to Fumadocs ``: + * :::tip Heading → + * … body … body + * ::: + * (note→note, warning→warn, danger→error, info→info, tip→info) + * 4. Rename `intro.mdx` (Docusaurus's slug:/) to `index.mdx` + * (Fumadocs's root convention). + * + * Idempotent — re-running on already-migrated files is a no-op. + */ +import { mkdir, readdir, readFile, stat, writeFile } from "node:fs/promises"; +import { dirname, join, relative } from "node:path"; +import { fileURLToPath } from "node:url"; + +const HERE = dirname(fileURLToPath(import.meta.url)); +const SRC = join(HERE, "..", "..", "docs", "pages"); +const DST = join(HERE, "..", "content", "docs"); + +const ADMONITION_MAP = { + tip: "info", + note: "note", + info: "info", + warning: "warn", + caution: "warn", + danger: "error", +}; + +async function* walk(dir) { + for (const entry of await readdir(dir, { withFileTypes: true })) { + const full = join(dir, entry.name); + if (entry.isDirectory()) { + yield* walk(full); + } else if (entry.isFile() && entry.name.endsWith(".mdx")) { + yield full; + } + } +} + +function transformFrontmatter(src) { + const fmMatch = src.match(/^---\n([\s\S]*?)\n---\n?/); + if (!fmMatch) return src; + const body = fmMatch[1]; + const cleaned = body + .split("\n") + .filter((line) => !/^\s*(sidebar_position|slug)\s*:/.test(line)) + .join("\n"); + return `---\n${cleaned}\n---\n${src.slice(fmMatch[0].length)}`; +} + +function dropSiteImports(src) { + return ( + src + .split("\n") + .filter( + (line) => + !/^import\s+\w+\s+from\s+['"]@site\/src\/components\/[^'"]+['"];?\s*$/.test( + line.trim(), + ), + ) + .join("\n") + // collapse 3+ blank lines that result from import removals + .replace(/\n{3,}/g, "\n\n") + ); +} + +/** Shiki's default bundle has no `dot` grammar — fall back to plain text. */ +function relabelDotCodeBlocks(src) { + return src.replace(/^```dot\s*$/gm, "```text"); +} + +/** + * Fumadocs' `` already renders the frontmatter `title`. If the + * MDX body opens with `# Same Title`, drop it so the page doesn't print + * the heading twice. Tolerates leading blank lines and arbitrary + * whitespace around the heading text. + */ +function dropDuplicateH1(src) { + const fmMatch = src.match(/^---\n([\s\S]*?)\n---\n?/); + if (!fmMatch) return src; + const titleMatch = fmMatch[1].match(/^title:\s*(.+?)\s*$/m); + if (!titleMatch) return src; + const title = titleMatch[1].replace(/^["']|["']$/g, "").trim(); + const body = src.slice(fmMatch[0].length); + + // Match the FIRST `# Heading` line (allowing leading blank lines). + const h1Re = /^[\s\n]*#\s+(.+?)\s*$/m; + const h1Match = body.match(h1Re); + if (!h1Match) return src; + if (h1Match[1].trim() !== title) return src; + + const start = h1Match.index ?? 0; + const stripped = body.slice(0, start) + body.slice(start + h1Match[0].length); + return src.slice(0, fmMatch[0].length) + stripped.replace(/^\n+/, "\n"); +} + +function convertAdmonitions(src) { + // Match ::: [optional title]\n…\n::: + return src.replace( + /^:::(tip|note|info|warning|caution|danger)([ \t]+([^\n]+))?\n([\s\S]*?)^:::\s*$/gm, + (_full, type, _gap, title, body) => { + const calloutType = ADMONITION_MAP[type] ?? "info"; + const trimmedBody = body.replace(/\s+$/g, ""); + const titleAttr = title ? ` title="${title.trim()}"` : ""; + return `\n${trimmedBody}\n`; + }, + ); +} + +async function ensureDir(d) { + await mkdir(d, { recursive: true }); +} + +async function migrateFile(srcPath) { + const rel = relative(SRC, srcPath); + // intro.mdx → index.mdx (Fumadocs root convention) + const remapped = rel === "intro.mdx" ? "index.mdx" : rel; + const dstPath = join(DST, remapped); + await ensureDir(dirname(dstPath)); + + let content = await readFile(srcPath, "utf8"); + content = transformFrontmatter(content); + content = dropSiteImports(content); + content = convertAdmonitions(content); + content = relabelDotCodeBlocks(content); + content = dropDuplicateH1(content); + + await writeFile(dstPath, content, "utf8"); + return { srcPath, dstPath, rel }; +} + +async function main() { + await ensureDir(DST); + + // Sanity: source must exist + try { + const s = await stat(SRC); + if (!s.isDirectory()) throw new Error("not a directory"); + } catch { + console.error(`Source not found: ${SRC}`); + process.exit(1); + } + + let count = 0; + for await (const srcPath of walk(SRC)) { + const { rel } = await migrateFile(srcPath); + process.stdout.write(` ✓ ${rel}\n`); + count += 1; + } + console.log(`\nMigrated ${count} MDX files → ${DST}`); +} + +await main(); diff --git a/docs/sidebars.ts b/docs/sidebars.ts deleted file mode 100644 index 06e6da2..0000000 --- a/docs/sidebars.ts +++ /dev/null @@ -1,134 +0,0 @@ -import type { SidebarsConfig } from '@docusaurus/plugin-content-docs'; - -const sidebars: SidebarsConfig = { - guideSidebar: [ - 'intro', - 'guide/why-dagron', - { - type: 'category', - label: 'Guide', - collapsed: false, - link: { type: 'generated-index', title: 'User Guide', slug: '/guide' }, - items: [ - 'guide/getting-started', - 'guide/benchmarks', - 'guide/cookbook', - { - type: 'category', - label: 'Core Concepts', - collapsed: false, - items: [ - 'guide/core-concepts/building-dags', - 'guide/core-concepts/executing-tasks', - 'guide/core-concepts/inspecting-graphs', - 'guide/core-concepts/transforms', - 'guide/core-concepts/serialization', - ], - }, - { - type: 'category', - label: 'Execution Strategies', - collapsed: false, - items: [ - 'guide/execution-strategies/incremental', - 'guide/execution-strategies/conditional', - 'guide/execution-strategies/dynamic-dags', - 'guide/execution-strategies/checkpointing', - 'guide/execution-strategies/caching', - 'guide/execution-strategies/resource-scheduling', - 'guide/execution-strategies/approval-gates', - 'guide/execution-strategies/distributed', - ], - }, - { - type: 'category', - label: 'Observability', - collapsed: true, - items: [ - 'guide/observability/tracing-profiling', - 'guide/observability/visualization', - 'guide/observability/error-handling', - ], - }, - { - type: 'category', - label: 'Advanced Features', - collapsed: true, - items: [ - 'guide/advanced/templates', - 'guide/advanced/versioning', - 'guide/advanced/contracts', - 'guide/advanced/dataframes', - 'guide/advanced/plugins-hooks', - ], - }, - 'guide/architecture', - ], - }, - ], - apiSidebar: [ - { - type: 'category', - label: 'API Reference', - collapsed: false, - link: { type: 'generated-index', title: 'API Reference', slug: '/api' }, - items: [ - { - type: 'category', - label: 'Core', - collapsed: false, - items: ['api/core/core', 'api/core/builder', 'api/core/errors'], - }, - { - type: 'category', - label: 'Execution', - collapsed: false, - items: [ - 'api/execution/execution', - 'api/execution/pipeline', - 'api/execution/incremental', - 'api/execution/caching', - 'api/execution/checkpoint', - 'api/execution/conditions', - 'api/execution/dynamic', - 'api/execution/gates', - 'api/execution/resources', - 'api/execution/distributed', - 'api/execution/reactive', - ], - }, - { - type: 'category', - label: 'Observability', - collapsed: true, - items: ['api/observability/tracing', 'api/observability/profiling'], - }, - { - type: 'category', - label: 'Analysis & Validation', - collapsed: true, - items: [ - 'api/analysis/analysis', - 'api/analysis/contracts', - 'api/analysis/dataframe', - ], - }, - { - type: 'category', - label: 'Utilities', - collapsed: true, - items: [ - 'api/utilities/template', - 'api/utilities/versioning', - 'api/utilities/compose', - 'api/utilities/display', - 'api/utilities/integration', - 'api/utilities/plugins', - ], - }, - ], - }, - ], -}; - -export default sidebars; diff --git a/docs/source.config.ts b/docs/source.config.ts new file mode 100644 index 0000000..4cef005 --- /dev/null +++ b/docs/source.config.ts @@ -0,0 +1,23 @@ +import { metaSchema, pageSchema } from "fumadocs-core/source/schema"; +import { defineConfig, defineDocs } from "fumadocs-mdx/config"; + +// You can customize Zod schemas for frontmatter and `meta.json` here +// see https://fumadocs.dev/docs/mdx/collections +export const docs = defineDocs({ + dir: "content/docs", + docs: { + schema: pageSchema, + postprocess: { + includeProcessedMarkdown: true, + }, + }, + meta: { + schema: metaSchema, + }, +}); + +export default defineConfig({ + mdxOptions: { + // MDX options + }, +}); diff --git a/docs/src/app/(docs)/[...slug]/page.tsx b/docs/src/app/(docs)/[...slug]/page.tsx new file mode 100644 index 0000000..c16b155 --- /dev/null +++ b/docs/src/app/(docs)/[...slug]/page.tsx @@ -0,0 +1,67 @@ +import { + DocsBody, + DocsDescription, + DocsPage, + DocsTitle, + MarkdownCopyButton, + ViewOptionsPopover, +} from "fumadocs-ui/layouts/docs/page"; +import { createRelativeLink } from "fumadocs-ui/mdx"; +import type { Metadata } from "next"; +import { notFound } from "next/navigation"; +import { getMDXComponents } from "@/components/mdx"; +import { gitConfig } from "@/lib/shared"; +import { getPageImage, getPageMarkdownUrl, source } from "@/lib/source"; + +export default async function Page(props: PageProps<"/[...slug]">) { + const params = await props.params; + const page = source.getPage(params.slug); + if (!page) notFound(); + + const MDX = page.data.body; + const markdownUrl = getPageMarkdownUrl(page).url; + + return ( + + {page.data.title} + + {page.data.description} + +

+ + +
+ + + + + ); +} + +export async function generateStaticParams() { + return source.generateParams(); +} + +export async function generateMetadata( + props: PageProps<"/[...slug]">, +): Promise { + const params = await props.params; + const page = source.getPage(params.slug); + if (!page) notFound(); + + return { + title: page.data.title, + description: page.data.description, + openGraph: { + images: getPageImage(page).url, + }, + }; +} diff --git a/docs/src/app/(docs)/layout.tsx b/docs/src/app/(docs)/layout.tsx new file mode 100644 index 0000000..cdde5f7 --- /dev/null +++ b/docs/src/app/(docs)/layout.tsx @@ -0,0 +1,11 @@ +import { DocsLayout } from "fumadocs-ui/layouts/docs"; +import { baseOptions } from "@/lib/layout.shared"; +import { source } from "@/lib/source"; + +export default function Layout({ children }: LayoutProps<"/">) { + return ( + + {children} + + ); +} diff --git a/docs/src/app/(home)/_sections/features.tsx b/docs/src/app/(home)/_sections/features.tsx new file mode 100644 index 0000000..4c0ada8 --- /dev/null +++ b/docs/src/app/(home)/_sections/features.tsx @@ -0,0 +1,146 @@ +import { FeatureCard, FeatureGrid } from "@/components/feature-card"; +import { SectionHeader } from "@/components/ui/section-header"; + +const FEATURES = [ + { + title: "Typed Node Handles", + description: + "NodeRef carries an Arc+epoch handle returned by add_node — every API accepts str | NodeRef, stale handles error fast.", + guideHref: "/typed-and-reactive", + }, + { + title: "@dagron.flow", + description: + "Tawazi-style: write a Python function, let the call structure become the DAG. Pythonic, no string IDs.", + guideHref: "/typed-and-reactive", + }, + { + title: "Reactive Engine", + description: + "Signal/Computed/Watcher with auto-tracked deps. ~10 µs to recompute one branch out of 10k after upstream mutation.", + guideHref: "/typed-and-reactive", + }, + { + title: "Content-Addressed Cache", + description: + "Nix-flake-style cross-process cache backed by the filesystem. Two CI workers share intermediates without coordination.", + guideHref: "/typed-and-reactive", + }, + { + title: "Time-Travel Replay", + description: + "Append-only JSONL traces + payload-deduped CAS. replay(at=t) reconstructs any past run state.", + guideHref: "/typed-and-reactive", + }, + { + title: "Effect-Typed Tasks", + description: + "PURE / READ / WRITE / NETWORK / NONDETERMINISTIC tags drive cache opt-in, replay safety, and executor isolation.", + guideHref: "/typed-and-reactive", + }, + { + title: "DAG Builder", + description: + "Fluent builder, from_records, and Pipeline / @task decorator for defining DAGs.", + guideHref: "/guide/core-concepts/building-dags", + apiHref: "/api/core/builder", + }, + { + title: "Parallel Execution", + description: + "Thread-pool and async executors with topological scheduling and cost-aware planning.", + guideHref: "/guide/core-concepts/executing-tasks", + apiHref: "/api/execution/execution", + }, + { + title: "Incremental Execution", + description: "Early-cutoff recomputation — only re-execute what changed.", + guideHref: "/guide/execution-strategies/incremental", + apiHref: "/api/execution/incremental", + }, + { + title: "Checkpointing", + description: "Save progress to disk and resume after failures.", + guideHref: "/guide/execution-strategies/checkpointing", + apiHref: "/api/execution/checkpoint", + }, + { + title: "Conditional & Dynamic DAGs", + description: + "Predicate-gated edges, runtime expansion based on node results.", + guideHref: "/guide/execution-strategies/conditional", + apiHref: "/api/execution/conditions", + }, + { + title: "Resource & Approval Gates", + description: + "GPU/CPU/memory-aware scheduling; human-in-the-loop pauses until approved.", + guideHref: "/guide/execution-strategies/resource-scheduling", + apiHref: "/api/execution/resources", + }, + { + title: "Distributed Execution", + description: "Pluggable backends: threads, multiprocessing, Ray, Celery.", + guideHref: "/guide/execution-strategies/distributed", + apiHref: "/api/execution/distributed", + }, + { + title: "Tracing & Profiling", + description: + "Chrome-compatible execution traces and critical-path analysis.", + guideHref: "/guide/observability/tracing-profiling", + apiHref: "/api/observability/tracing", + }, + { + title: "Graph Analysis", + description: + "Explain, what-if, lineage tracking, linting, and a query DSL.", + guideHref: "/guide/core-concepts/inspecting-graphs", + apiHref: "/api/analysis/analysis", + }, + { + title: "Contracts & DataFrames", + description: + "Type contracts across edges, validated at build time. Schema validation for pandas/polars pipelines.", + guideHref: "/guide/advanced/contracts", + apiHref: "/api/analysis/contracts", + }, + { + title: "Templates & Versioning", + description: + "Parameterised templates with placeholder expansion; append-only mutation log with diffing and forking.", + guideHref: "/guide/advanced/templates", + apiHref: "/api/utilities/template", + }, + { + title: "Plugins & Hooks", + description: + "Event-driven plugin system with hook registry and auto-discovery.", + guideHref: "/guide/advanced/plugins-hooks", + apiHref: "/api/utilities/plugins", + }, + { + title: "Visualization", + description: "ASCII, SVG, Mermaid, and a live web dashboard (Axum + SSE).", + guideHref: "/guide/observability/visualization", + apiHref: "/api/utilities/display", + }, +]; + +export function Features() { + return ( +
+
+ + + {FEATURES.map((f) => ( + + ))} + +
+
+ ); +} diff --git a/docs/src/app/(home)/_sections/hero.tsx b/docs/src/app/(home)/_sections/hero.tsx new file mode 100644 index 0000000..fbfabcd --- /dev/null +++ b/docs/src/app/(home)/_sections/hero.tsx @@ -0,0 +1,64 @@ +import { DynamicCodeBlock } from "fumadocs-ui/components/dynamic-codeblock"; +import { Button } from "@/components/ui/button"; + +const SAMPLE_CODE = `import dagron + +dag = ( + dagron.DAG.builder() + .add_node("extract") + .add_node("transform") + .add_node("load") + .add_edge("extract", "transform") + .add_edge("transform", "load") + .build() +) + +result = dagron.DAGExecutor(dag).execute({ + "extract": lambda: fetch_data(), + "transform": lambda: clean(result), + "load": lambda: write_to_db(result), +})`; + +export function Hero() { + return ( +
+
+
+

+ dagron +

+

+ High-performance DAG execution engine for Python, powered by Rust. +

+

+ + Up to 12× faster than NetworkX + {" "} + on 10k-node DAG validation, with sub-microsecond reachability + queries after index build. Build pipelines, schedulers, build + systems — anything that runs as a graph. +

+
+ + + +
+
+
+ +
+
+
+ ); +} diff --git a/docs/src/app/(home)/_sections/index.ts b/docs/src/app/(home)/_sections/index.ts new file mode 100644 index 0000000..9767ccc --- /dev/null +++ b/docs/src/app/(home)/_sections/index.ts @@ -0,0 +1,2 @@ +export { Features } from "./features"; +export { Hero } from "./hero"; diff --git a/docs/src/app/(home)/layout.tsx b/docs/src/app/(home)/layout.tsx new file mode 100644 index 0000000..d7c0853 --- /dev/null +++ b/docs/src/app/(home)/layout.tsx @@ -0,0 +1,6 @@ +import { HomeLayout } from "fumadocs-ui/layouts/home"; +import { homeOptions } from "@/lib/layout.shared"; + +export default function Layout({ children }: LayoutProps<"/">) { + return {children}; +} diff --git a/docs/src/app/(home)/page.tsx b/docs/src/app/(home)/page.tsx new file mode 100644 index 0000000..0ada2b0 --- /dev/null +++ b/docs/src/app/(home)/page.tsx @@ -0,0 +1,10 @@ +import { Features, Hero } from "./_sections"; + +export default function HomePage() { + return ( +
+ + +
+ ); +} diff --git a/docs/src/app/api/search/route.ts b/docs/src/app/api/search/route.ts new file mode 100644 index 0000000..c312b91 --- /dev/null +++ b/docs/src/app/api/search/route.ts @@ -0,0 +1,9 @@ +import { createFromSource } from "fumadocs-core/search/server"; +import { source } from "@/lib/source"; + +export const revalidate = false; + +export const { staticGET: GET } = createFromSource(source, { + // https://docs.orama.com/docs/orama-js/supported-languages + language: "english", +}); diff --git a/docs/src/app/global.css b/docs/src/app/global.css new file mode 100644 index 0000000..d31d9d5 --- /dev/null +++ b/docs/src/app/global.css @@ -0,0 +1,59 @@ +@import "tailwindcss"; +@import "fumadocs-ui/css/neutral.css"; +@import "fumadocs-ui/css/preset.css"; + +@theme { + --font-sans: + var(--font-sans), "IBM Plex Sans", ui-sans-serif, system-ui, sans-serif; + --font-mono: + var(--font-mono), "IBM Plex Mono", ui-monospace, SFMono-Regular, + "Cascadia Mono", monospace; + + /* dagron purple — primary brand */ + --color-fd-primary: #6c5ce7; + + /* status palette (light mode) */ + --color-dagron-pending: #a0aec0; + --color-dagron-running: #4299e1; + --color-dagron-completed: #48bb78; + --color-dagron-failed: #f56565; + --color-dagron-skipped: #ed8936; + --color-dagron-timed-out: #ed64a6; + --color-dagron-cancelled: #a0aec0; + --color-dagron-cache-hit: #38b2ac; + + /* effect palette */ + --color-dagron-effect-pure: #6c5ce7; + --color-dagron-effect-read: #38b2ac; + --color-dagron-effect-write: #ed8936; + --color-dagron-effect-network: #4299e1; + --color-dagron-effect-nondeterministic: #f56565; +} + +.dark { + --color-fd-primary: #a29bfe; + + --color-dagron-pending: #718096; + --color-dagron-running: #63b3ed; + --color-dagron-completed: #68d391; + --color-dagron-failed: #fc8181; + --color-dagron-skipped: #f6ad55; + --color-dagron-timed-out: #f687b3; + --color-dagron-cancelled: #718096; + --color-dagron-cache-hit: #4fd1c5; + + --color-dagron-effect-pure: #a29bfe; + --color-dagron-effect-read: #4fd1c5; + --color-dagron-effect-write: #f6ad55; + --color-dagron-effect-network: #63b3ed; + --color-dagron-effect-nondeterministic: #fc8181; +} + +html { + scrollbar-gutter: stable; +} + +html > body[data-scroll-locked] { + margin-right: 0px !important; + --removed-body-scroll-bar-size: 0px !important; +} diff --git a/docs/src/app/layout.tsx b/docs/src/app/layout.tsx new file mode 100644 index 0000000..553911d --- /dev/null +++ b/docs/src/app/layout.tsx @@ -0,0 +1,40 @@ +import type { Metadata } from "next"; +import { IBM_Plex_Mono, IBM_Plex_Sans } from "next/font/google"; +import { Provider } from "@/components/provider"; +import "./global.css"; + +const ibmPlexSans = IBM_Plex_Sans({ + subsets: ["latin"], + weight: ["400", "500", "600", "700"], + variable: "--font-sans", +}); + +const ibmPlexMono = IBM_Plex_Mono({ + subsets: ["latin"], + weight: ["400", "500", "600"], + variable: "--font-mono", +}); + +export const metadata: Metadata = { + metadataBase: new URL("https://byteveda.github.io/dagron"), + title: { + default: "dagron", + template: "%s | dagron", + }, + description: + "High-performance DAG execution engine for Python, powered by Rust.", +}; + +export default function Layout({ children }: LayoutProps<"/">) { + return ( + + + {children} + + + ); +} diff --git a/docs/src/app/llms-full.txt/route.ts b/docs/src/app/llms-full.txt/route.ts new file mode 100644 index 0000000..fcccaee --- /dev/null +++ b/docs/src/app/llms-full.txt/route.ts @@ -0,0 +1,10 @@ +import { getLLMText, source } from "@/lib/source"; + +export const revalidate = false; + +export async function GET() { + const scan = source.getPages().map(getLLMText); + const scanned = await Promise.all(scan); + + return new Response(scanned.join("\n\n")); +} diff --git a/docs/src/app/llms.txt/route.ts b/docs/src/app/llms.txt/route.ts new file mode 100644 index 0000000..775be71 --- /dev/null +++ b/docs/src/app/llms.txt/route.ts @@ -0,0 +1,8 @@ +import { llms } from "fumadocs-core/source"; +import { source } from "@/lib/source"; + +export const revalidate = false; + +export function GET() { + return new Response(llms(source).index()); +} diff --git a/docs/src/components/ApiSignature.tsx b/docs/src/components/ApiSignature.tsx deleted file mode 100644 index 0704c95..0000000 --- a/docs/src/components/ApiSignature.tsx +++ /dev/null @@ -1,23 +0,0 @@ -import CodeBlock from '@theme/CodeBlock'; - -interface ApiSignatureProps { - name: string; - signature: string; - language?: string; -} - -export default function ApiSignature({ - name, - signature, - language = 'python', -}: ApiSignatureProps) { - const id = name.toLowerCase().replace(/[^a-z0-9]+/g, '-'); - return ( -
- - {name} - - {signature} -
- ); -} diff --git a/docs/src/components/DagDiagram.tsx b/docs/src/components/DagDiagram.tsx deleted file mode 100644 index 333faf3..0000000 --- a/docs/src/components/DagDiagram.tsx +++ /dev/null @@ -1,104 +0,0 @@ -import { useColorMode } from '@docusaurus/theme-common'; -import Mermaid from '@theme/Mermaid'; -import { useMemo } from 'react'; - -/** - * Maps light-mode hex colors (used in classDef/style directives) to dark-mode equivalents. - * Fills go darker/more saturated; strokes go lighter/brighter for contrast on dark backgrounds. - * Keys must be lowercase. - */ -const DARK_COLOR_MAP: Record = { - // Green (success/active) — fills - '#c8e6c9': '#1b5e20', - '#d4edda': '#1b5e20', - '#e8f5e9': '#1b5e20', - // Green — strokes - '#2e7d32': '#66bb6a', - '#28a745': '#66bb6a', - - // Blue (processing) — fill / stroke - '#e3f2fd': '#0d47a1', - '#1565c0': '#64b5f6', - - // Blue (ancestor) — fill / stroke - '#dbeafe': '#1e3a5f', - '#3b82f6': '#90caf9', - - // Indigo (reused/restored) — fill / stroke - '#e0e7ff': '#283593', - '#6366f1': '#9fa8da', - - // Red (dirty/error/critical) — fills - '#fecaca': '#7f1d1d', - '#ffcdd2': '#7f1d1d', - '#fee2e2': '#7f1d1d', - // Red — strokes - '#ef4444': '#ef5350', - '#c62828': '#ef5350', - - // Orange (recomputed/warning) — fills - '#fed7aa': '#7c2d12', - '#fff3e0': '#7c2d12', - '#ffcc80': '#7c2d12', - // Orange — strokes - '#f97316': '#fb8c00', - '#e65100': '#fb8c00', - '#ef6c00': '#ff9800', - - // Yellow (cached/leaf) — fills - '#fff9c4': '#5f370e', - '#fff3cd': '#5f370e', - // Yellow — stroke - '#ffc107': '#fdd835', - - // Amber — fill / stroke - '#f9a825': '#f57f17', - '#f57f17': '#ffb300', - - // Lime (cutoff) — fill / stroke - '#d9f99d': '#365314', - '#65a30d': '#9ccc65', - - // Gray (skipped/default) — fills - '#e0e0e0': '#37474f', - '#e2e8f0': '#37474f', - // Gray — strokes - '#9e9e9e': '#b0bec5', - '#94a3b8': '#b0bec5', -}; - -const COLOR_PATTERN = new RegExp(Object.keys(DARK_COLOR_MAP).join('|'), 'gi'); - -interface DagDiagramProps { - chart: string; - caption?: string; -} - -export default function DagDiagram({ chart, caption }: DagDiagramProps) { - const { colorMode } = useColorMode(); - - const value = useMemo(() => { - if (colorMode !== 'dark') return chart; - return chart.replace( - COLOR_PATTERN, - (match) => DARK_COLOR_MAP[match.toLowerCase()] ?? match, - ); - }, [chart, colorMode]); - - return ( -
- - {caption && ( -

- {caption} -

- )} -
- ); -} diff --git a/docs/src/components/FeatureCard.tsx b/docs/src/components/FeatureCard.tsx deleted file mode 100644 index e4c6638..0000000 --- a/docs/src/components/FeatureCard.tsx +++ /dev/null @@ -1,31 +0,0 @@ -import Link from '@docusaurus/Link'; - -interface FeatureCardProps { - title: string; - description: string; - guideLink?: string; - apiLink?: string; - icon?: string; -} - -export default function FeatureCard({ - title, - description, - guideLink, - apiLink, - icon, -}: FeatureCardProps) { - return ( -
-
- {icon && {icon}} - {title} -
-
{description}
-
- {guideLink && Guide →} - {apiLink && API →} -
-
- ); -} diff --git a/docs/src/components/ParamTable.tsx b/docs/src/components/ParamTable.tsx deleted file mode 100644 index bffa605..0000000 --- a/docs/src/components/ParamTable.tsx +++ /dev/null @@ -1,39 +0,0 @@ -interface Param { - name: string; - type: string; - default?: string; - description: string; -} - -interface ParamTableProps { - params: Param[]; -} - -export default function ParamTable({ params }: ParamTableProps) { - return ( - - - - - - - - - - - {params.map((p) => ( - - - - - - - ))} - -
ParameterTypeDefaultDescription
- {p.name} - - {p.type} - {p.default ? {p.default} : required}{p.description}
- ); -} diff --git a/docs/src/components/StatusBadge.tsx b/docs/src/components/StatusBadge.tsx deleted file mode 100644 index 023c182..0000000 --- a/docs/src/components/StatusBadge.tsx +++ /dev/null @@ -1,22 +0,0 @@ -type Status = - | 'pending' - | 'running' - | 'completed' - | 'failed' - | 'skipped' - | 'timed-out' - | 'cancelled' - | 'cache-hit'; - -interface StatusBadgeProps { - status: Status; - label?: string; -} - -export default function StatusBadge({ status, label }: StatusBadgeProps) { - return ( - - {label ?? status} - - ); -} diff --git a/docs/src/components/api-signature.tsx b/docs/src/components/api-signature.tsx new file mode 100644 index 0000000..ad2064f --- /dev/null +++ b/docs/src/components/api-signature.tsx @@ -0,0 +1,48 @@ +import { DynamicCodeBlock } from "fumadocs-ui/components/dynamic-codeblock"; +import { cn } from "@/lib/cn"; + +export type ApiSignatureProps = { + name: string; + signature: string; + language?: string; + className?: string; +}; + +function toAnchorId(name: string): string { + return name + .toLowerCase() + .replace(/[^a-z0-9]+/g, "-") + .replace(/^-|-$/g, ""); +} + +/** + * Anchored signature block used for API reference pages. Renders the symbol + * name as a deep-linkable header above a syntax-highlighted code block. + */ +export function ApiSignature({ + name, + signature, + language = "python", + className, +}: ApiSignatureProps) { + const id = toAnchorId(name); + return ( +
+ + {name} + +
+ +
+
+ ); +} diff --git a/docs/src/components/dag-diagram.tsx b/docs/src/components/dag-diagram.tsx new file mode 100644 index 0000000..af77fab --- /dev/null +++ b/docs/src/components/dag-diagram.tsx @@ -0,0 +1,110 @@ +"use client"; + +import { useTheme } from "next-themes"; +import { useMemo } from "react"; +import { cn } from "@/lib/cn"; +import { Mermaid } from "./mermaid"; + +/** + * Maps light-mode hex colors used in dagron's MDX `classDef` / `style` + * directives to dark-mode equivalents. Fills go darker/saturated; strokes + * go brighter for contrast on a dark background. Keys MUST be lowercase + * — `COLOR_PATTERN` is built case-insensitive but the lookup uses + * `match.toLowerCase()`. + */ +const DARK_COLOR_MAP: Record = { + // Green (success/active) — fills + "#c8e6c9": "#1b5e20", + "#d4edda": "#1b5e20", + "#e8f5e9": "#1b5e20", + // Green — strokes + "#2e7d32": "#66bb6a", + "#28a745": "#66bb6a", + + // Blue (processing) — fill / stroke + "#e3f2fd": "#0d47a1", + "#1565c0": "#64b5f6", + + // Blue (ancestor) — fill / stroke + "#dbeafe": "#1e3a5f", + "#3b82f6": "#90caf9", + + // Indigo (reused/restored) — fill / stroke + "#e0e7ff": "#283593", + "#6366f1": "#9fa8da", + + // Red (dirty/error/critical) — fills + "#fecaca": "#7f1d1d", + "#ffcdd2": "#7f1d1d", + "#fee2e2": "#7f1d1d", + // Red — strokes + "#ef4444": "#ef5350", + "#c62828": "#ef5350", + + // Orange (recomputed/warning) — fills + "#fed7aa": "#7c2d12", + "#fff3e0": "#7c2d12", + "#ffcc80": "#7c2d12", + // Orange — strokes + "#f97316": "#fb8c00", + "#e65100": "#fb8c00", + "#ef6c00": "#ff9800", + + // Yellow (cached/leaf) — fills + "#fff9c4": "#5f370e", + "#fff3cd": "#5f370e", + // Yellow — stroke + "#ffc107": "#fdd835", + + // Amber — fill / stroke + "#f9a825": "#f57f17", + "#f57f17": "#ffb300", + + // Lime (cutoff) — fill / stroke + "#d9f99d": "#365314", + "#65a30d": "#9ccc65", + + // Gray (skipped/default) — fills + "#e0e0e0": "#37474f", + "#e2e8f0": "#37474f", + // Gray — strokes + "#9e9e9e": "#b0bec5", + "#94a3b8": "#b0bec5", +}; + +const COLOR_PATTERN = new RegExp(Object.keys(DARK_COLOR_MAP).join("|"), "gi"); + +export type DagDiagramProps = { + chart: string; + caption?: string; + className?: string; +}; + +/** + * MDX-friendly wrapper around `Mermaid` that adds an optional caption and + * remaps light-mode hex literals in the chart string to dark equivalents + * when the active theme is dark. Falls back to vanilla `Mermaid` styling + * for charts that use no `classDef`/`style` directives. + */ +export function DagDiagram({ chart, caption, className }: DagDiagramProps) { + const { resolvedTheme } = useTheme(); + + const value = useMemo(() => { + if (resolvedTheme !== "dark") return chart; + return chart.replace( + COLOR_PATTERN, + (match) => DARK_COLOR_MAP[match.toLowerCase()] ?? match, + ); + }, [chart, resolvedTheme]); + + return ( +
+ + {caption ? ( +
+ {caption} +
+ ) : null} +
+ ); +} diff --git a/docs/src/components/diagram-carousel.tsx b/docs/src/components/diagram-carousel.tsx new file mode 100644 index 0000000..dbe690f --- /dev/null +++ b/docs/src/components/diagram-carousel.tsx @@ -0,0 +1,149 @@ +"use client"; + +import { ChevronLeft, ChevronRight } from "lucide-react"; +import { + Children, + isValidElement, + type ReactElement, + type ReactNode, + useCallback, + useEffect, + useRef, + useState, +} from "react"; +import { cn } from "@/lib/cn"; + +type DiagramSlideProps = { + title?: string; + children: ReactNode; +}; + +export function DiagramSlide({ children }: DiagramSlideProps) { + return <>{children}; +} + +type SlideElement = ReactElement; + +export function DiagramCarousel({ + children, + title, +}: { + children: ReactNode; + title?: string; +}) { + const slides = Children.toArray(children).filter( + (child): child is SlideElement => isValidElement(child), + ); + const total = slides.length; + const containerRef = useRef(null); + const [index, setIndex] = useState(0); + + const prev = useCallback( + () => setIndex((i) => (i - 1 + total) % total), + [total], + ); + const next = useCallback(() => setIndex((i) => (i + 1) % total), [total]); + + useEffect(() => { + const node = containerRef.current; + if (!node) return; + function onKey(e: KeyboardEvent) { + if (e.key === "ArrowLeft") { + e.preventDefault(); + prev(); + } else if (e.key === "ArrowRight") { + e.preventDefault(); + next(); + } + } + node.addEventListener("keydown", onKey); + return () => node.removeEventListener("keydown", onKey); + }, [prev, next]); + + if (total === 0) return null; + + const activeTitle = slides[index]?.props.title; + + return ( +
} + className="taskito-carousel my-6 rounded-lg border border-fd-border bg-fd-card overflow-hidden focus:outline-none focus:ring-2 focus:ring-fd-primary/40" + // biome-ignore lint/a11y/noNoninteractiveTabindex: container hosts arrow-key navigation per WAI-ARIA carousel pattern + tabIndex={0} + aria-roledescription="carousel" + aria-label={title ?? "Diagram carousel"} + > +
+
+ {title && ( + + {title} + + )} + {activeTitle && ( + + {title ? "·" : ""} {activeTitle} + + )} +
+
+ + {index + 1} / {total} + +
+ + +
+
+
+
+ {slides.map((slide, i) => ( +
+ {slide} +
+ ))} +
+
+ {slides.map((slide, i) => { + const slideTitle = slide.props.title; + return ( +
+
+ ); +} diff --git a/docs/src/components/effect-badge.tsx b/docs/src/components/effect-badge.tsx new file mode 100644 index 0000000..72048b4 --- /dev/null +++ b/docs/src/components/effect-badge.tsx @@ -0,0 +1,43 @@ +import { cn } from "@/lib/cn"; + +export type Effect = "pure" | "read" | "write" | "network" | "nondeterministic"; + +const EFFECT_CLASSES: Record = { + pure: "bg-[var(--color-dagron-effect-pure)]", + read: "bg-[var(--color-dagron-effect-read)]", + write: "bg-[var(--color-dagron-effect-write)]", + network: "bg-[var(--color-dagron-effect-network)]", + nondeterministic: "bg-[var(--color-dagron-effect-nondeterministic)]", +}; + +const EFFECT_LABELS: Record = { + pure: "PURE", + read: "READ", + write: "WRITE", + network: "NETWORK", + nondeterministic: "ND", +}; + +export type EffectBadgeProps = { + effect: Effect; + label?: string; + className?: string; +}; + +/** + * Pill labelling a `@dagron.task`'s effect class — matches the runtime + * `dagron.Effect` enum (PURE/READ/WRITE/NETWORK/NONDETERMINISTIC). + */ +export function EffectBadge({ effect, label, className }: EffectBadgeProps) { + return ( + + {label ?? EFFECT_LABELS[effect]} + + ); +} diff --git a/docs/src/components/feature-card.tsx b/docs/src/components/feature-card.tsx new file mode 100644 index 0000000..9109ff6 --- /dev/null +++ b/docs/src/components/feature-card.tsx @@ -0,0 +1,86 @@ +import Link from "next/link"; +import type { ReactNode } from "react"; +import { cn } from "@/lib/cn"; + +export type FeatureCardProps = { + title: string; + description: string; + icon?: ReactNode; + guideHref?: string; + apiHref?: string; + className?: string; +}; + +/** + * Card with a title, short description, and optional Guide/API links. + * + * Used both on the home page (in a grid) and inside MDX pages for cross-linking + * between sections of the documentation. + */ +export function FeatureCard({ + title, + description, + icon, + guideHref, + apiHref, + className, +}: FeatureCardProps) { + return ( +
+
+ {icon ?
{icon}
: null} +

{title}

+
+

+ {description} +

+ {(guideHref || apiHref) && ( +
+ {guideHref ? ( + + Guide → + + ) : null} + {apiHref ? ( + + API → + + ) : null} +
+ )} +
+ ); +} + +/** Convenience wrapper that lays out a responsive grid of FeatureCards. */ +export function FeatureGrid({ + children, + className, +}: { + children: ReactNode; + className?: string; +}) { + return ( +
+ {children} +
+ ); +} diff --git a/docs/src/components/mdx.tsx b/docs/src/components/mdx.tsx new file mode 100644 index 0000000..d1fa9c1 --- /dev/null +++ b/docs/src/components/mdx.tsx @@ -0,0 +1,46 @@ +import defaultMdxComponents from "fumadocs-ui/mdx"; +import type { MDXComponents } from "mdx/types"; +import { ApiSignature } from "./api-signature"; +import { DagDiagram } from "./dag-diagram"; +import { DiagramCarousel, DiagramSlide } from "./diagram-carousel"; +import { EffectBadge } from "./effect-badge"; +import { FeatureCard, FeatureGrid } from "./feature-card"; +import { Mermaid } from "./mermaid"; +import { ParamTable } from "./param-table"; +import { StatusBadge } from "./status-badge"; +import { Button, CodePanel, SectionHeader } from "./ui"; + +/** + * Components made available to every MDX file globally — authors don't need + * to write `import` lines. Pass `components` to override or add per-page. + */ +export function getMDXComponents(components?: MDXComponents) { + return { + ...defaultMdxComponents, + // Diagram primitives + Mermaid, + DagDiagram, + DiagramCarousel, + DiagramSlide, + // Annotation pills + StatusBadge, + EffectBadge, + // API reference helpers + ApiSignature, + ParamTable, + // Card / grid + FeatureCard, + FeatureGrid, + // UI primitives (reusable across MDX and React pages) + Button, + CodePanel, + SectionHeader, + ...components, + } satisfies MDXComponents; +} + +export const useMDXComponents = getMDXComponents; + +declare global { + type MDXProvidedComponents = ReturnType; +} diff --git a/docs/src/components/mermaid.tsx b/docs/src/components/mermaid.tsx new file mode 100644 index 0000000..ed173a7 --- /dev/null +++ b/docs/src/components/mermaid.tsx @@ -0,0 +1,174 @@ +"use client"; + +import { useTheme } from "next-themes"; +import { useEffect, useId, useRef, useState } from "react"; + +const DARK_THEME_VARIABLES = { + darkMode: true, + background: "transparent", + primaryColor: "#1f2024", + primaryTextColor: "#f5f5f7", + primaryBorderColor: "#7a7d85", + lineColor: "#9b9ea6", + secondaryColor: "#2a2c31", + tertiaryColor: "#26282d", + mainBkg: "#1f2024", + nodeBkg: "#1f2024", + nodeBorder: "#7a7d85", + clusterBkg: "#1a1b1e", + clusterBorder: "#5a5d65", + edgeLabelBackground: "#2a2c31", + titleColor: "#f5f5f7", + labelTextColor: "#f5f5f7", + textColor: "#f5f5f7", + noteBkgColor: "#3a3c41", + noteTextColor: "#f5f5f7", + noteBorderColor: "#7a7d85", + errorBkgColor: "#4a1d1d", + errorTextColor: "#fca5a5", + // erDiagram-specific (entity attribute rows) — same color, no zebra stripe + attributeBackgroundColorOdd: "#1f2024", + attributeBackgroundColorEven: "#1f2024", + // stateDiagram-specific + altBackground: "#26282d", + // flowchart label colors + labelBackground: "#2a2c31", + // sequenceDiagram + actorBkg: "#1f2024", + actorBorder: "#7a7d85", + actorTextColor: "#f5f5f7", + actorLineColor: "#9b9ea6", + signalColor: "#f5f5f7", + signalTextColor: "#f5f5f7", + labelBoxBkgColor: "#2a2c31", + labelBoxBorderColor: "#7a7d85", + loopTextColor: "#f5f5f7", + activationBkgColor: "#3a3c41", + activationBorderColor: "#9b9ea6", +} as const; + +const DARK_THEME_CSS = ` + .er.entityBox { fill: #1f2024 !important; stroke: #7a7d85 !important; } + .er.entityLabel { fill: #f5f5f7 !important; } + .er.attributeBoxOdd { fill: #1f2024 !important; } + .er.attributeBoxEven { fill: #1f2024 !important; } + .er .er.attribute-text, + .er .attribute-text, + .er text { + fill: #f5f5f7 !important; + } + .er.relationshipLabel, + .er.relationshipLabelBox { + fill: #f5f5f7 !important; + } + .er.relationshipLabelBox + text { fill: #1a1a1a !important; } +`; + +const LIGHT_THEME_CSS = ` + .er.entityBox { fill: #ffffff !important; stroke: #3a3a3a !important; } + .er.entityLabel { fill: #1a1a1a !important; } + .er.attributeBoxOdd { fill: #ffffff !important; } + .er.attributeBoxEven { fill: #f4f4f5 !important; } + .er .er.attribute-text, + .er .attribute-text, + .er text { + fill: #1a1a1a !important; + } +`; + +const LIGHT_THEME_VARIABLES = { + darkMode: false, + background: "transparent", + primaryColor: "#ffffff", + primaryTextColor: "#1a1a1a", + primaryBorderColor: "#3a3a3a", + lineColor: "#4a4a4a", + secondaryColor: "#f4f4f5", + tertiaryColor: "#fafafa", + mainBkg: "#ffffff", + nodeBkg: "#ffffff", + nodeBorder: "#3a3a3a", + clusterBkg: "#f4f4f5", + clusterBorder: "#a1a1aa", + edgeLabelBackground: "#ffffff", + titleColor: "#1a1a1a", + labelTextColor: "#1a1a1a", + textColor: "#1a1a1a", + noteBkgColor: "#fef9c3", + noteTextColor: "#1a1a1a", + noteBorderColor: "#a1a1aa", + // erDiagram-specific (entity attribute rows) + attributeBackgroundColorOdd: "#ffffff", + attributeBackgroundColorEven: "#f4f4f5", + // stateDiagram-specific + altBackground: "#f4f4f5", + // flowchart label colors + labelBackground: "#ffffff", + // sequenceDiagram + actorBkg: "#ffffff", + actorBorder: "#3a3a3a", + actorTextColor: "#1a1a1a", + actorLineColor: "#4a4a4a", + signalColor: "#1a1a1a", + signalTextColor: "#1a1a1a", + labelBoxBkgColor: "#ffffff", + labelBoxBorderColor: "#3a3a3a", + loopTextColor: "#1a1a1a", + activationBkgColor: "#f4f4f5", + activationBorderColor: "#4a4a4a", +} as const; + +export function Mermaid({ chart }: { chart: string }) { + const id = useId(); + const containerRef = useRef(null); + const { resolvedTheme } = useTheme(); + const [svg, setSvg] = useState(""); + + useEffect(() => { + let cancelled = false; + void (async () => { + const mermaid = (await import("mermaid")).default; + if (typeof document !== "undefined" && document.fonts?.ready) { + await document.fonts.ready; + } + const isDark = resolvedTheme === "dark"; + mermaid.initialize({ + startOnLoad: false, + theme: "base", + themeVariables: isDark ? DARK_THEME_VARIABLES : LIGHT_THEME_VARIABLES, + themeCSS: isDark ? DARK_THEME_CSS : LIGHT_THEME_CSS, + securityLevel: "loose", + fontFamily: '"IBM Plex Sans", "Inter", system-ui, sans-serif', + flowchart: { padding: 18, htmlLabels: true, useMaxWidth: true }, + sequence: { + actorFontFamily: '"IBM Plex Sans", sans-serif', + noteFontFamily: '"IBM Plex Sans", sans-serif', + messageFontFamily: '"IBM Plex Sans", sans-serif', + }, + }); + try { + const renderId = `m${id.replace(/[^a-zA-Z0-9]/g, "")}`; + const { svg: rendered } = await mermaid.render(renderId, chart); + if (!cancelled) { + setSvg(rendered); + } + } catch (err) { + if (!cancelled) { + setSvg(`
Mermaid render error: ${(err as Error).message}
`); + } + } + })(); + return () => { + cancelled = true; + }; + }, [chart, id, resolvedTheme]); + + return ( +
+ ); +} diff --git a/docs/src/components/param-table.tsx b/docs/src/components/param-table.tsx new file mode 100644 index 0000000..e8c33d0 --- /dev/null +++ b/docs/src/components/param-table.tsx @@ -0,0 +1,64 @@ +import { cn } from "@/lib/cn"; + +export type Param = { + name: string; + type: string; + default?: string; + description: string; +}; + +export type ParamTableProps = { + params: Param[]; + className?: string; +}; + +/** + * Renders a parameter reference table with name / type / default / description + * columns. Used heavily on API reference pages. + */ +export function ParamTable({ params, className }: ParamTableProps) { + return ( +
+ + + + + + + + + + + {params.map((p) => ( + + + + + + + ))} + +
+ Parameter + + Type + + Default + + Description +
+ {p.name} + + {p.type} + + {p.default !== undefined ? ( + {p.default} + ) : ( + required + )} + + {p.description} +
+
+ ); +} diff --git a/docs/src/components/provider.tsx b/docs/src/components/provider.tsx new file mode 100644 index 0000000..de8ad12 --- /dev/null +++ b/docs/src/components/provider.tsx @@ -0,0 +1,8 @@ +"use client"; +import { RootProvider } from "fumadocs-ui/provider/next"; +import type { ReactNode } from "react"; +import SearchDialog from "@/components/search"; + +export function Provider({ children }: { children: ReactNode }) { + return {children}; +} diff --git a/docs/src/components/search.tsx b/docs/src/components/search.tsx new file mode 100644 index 0000000..3b2dc8a --- /dev/null +++ b/docs/src/components/search.tsx @@ -0,0 +1,54 @@ +"use client"; +import { create } from "@orama/orama"; +import { useDocsSearch } from "fumadocs-core/search/client"; +import { + SearchDialog, + SearchDialogClose, + SearchDialogContent, + SearchDialogHeader, + SearchDialogIcon, + SearchDialogInput, + SearchDialogList, + SearchDialogOverlay, + type SharedProps, +} from "fumadocs-ui/components/dialog/search"; +import { useI18n } from "fumadocs-ui/contexts/i18n"; + +function initOrama() { + return create({ + schema: { _: "string" }, + // https://docs.orama.com/docs/orama-js/supported-languages + language: "english", + }); +} + +const basePath = process.env.NEXT_PUBLIC_DOCS_BASE_PATH ?? ""; + +export default function DefaultSearchDialog(props: SharedProps) { + const { locale } = useI18n(); // (optional) for i18n + const { search, setSearch, query } = useDocsSearch({ + type: "static", + initOrama, + locale, + from: `${basePath}/api/search`, + }); + + return ( + + + + + + + + + + + + ); +} diff --git a/docs/src/components/status-badge.tsx b/docs/src/components/status-badge.tsx new file mode 100644 index 0000000..67094bb --- /dev/null +++ b/docs/src/components/status-badge.tsx @@ -0,0 +1,46 @@ +import { cn } from "@/lib/cn"; + +export type Status = + | "pending" + | "running" + | "completed" + | "failed" + | "skipped" + | "timed-out" + | "cancelled" + | "cache-hit"; + +const STATUS_CLASSES: Record = { + pending: "bg-[var(--color-dagron-pending)]", + running: "bg-[var(--color-dagron-running)]", + completed: "bg-[var(--color-dagron-completed)]", + failed: "bg-[var(--color-dagron-failed)]", + skipped: "bg-[var(--color-dagron-skipped)]", + "timed-out": "bg-[var(--color-dagron-timed-out)]", + cancelled: "bg-[var(--color-dagron-cancelled)]", + "cache-hit": "bg-[var(--color-dagron-cache-hit)]", +}; + +export type StatusBadgeProps = { + status: Status; + label?: string; + className?: string; +}; + +/** + * Inline status pill used to annotate node states in execution traces and + * conceptual diagrams (running / completed / failed / skipped / …). + */ +export function StatusBadge({ status, label, className }: StatusBadgeProps) { + return ( + + {label ?? status.replace("-", " ")} + + ); +} diff --git a/docs/src/components/ui/button.tsx b/docs/src/components/ui/button.tsx new file mode 100644 index 0000000..343e817 --- /dev/null +++ b/docs/src/components/ui/button.tsx @@ -0,0 +1,56 @@ +import Link from "next/link"; +import type { ComponentProps, ReactNode } from "react"; +import { cn } from "@/lib/cn"; + +export type ButtonVariant = "primary" | "secondary" | "ghost"; + +const VARIANT_CLASSES: Record = { + primary: + "bg-fd-primary text-fd-primary-foreground hover:opacity-90 transition-opacity", + secondary: + "border border-fd-border bg-fd-card hover:bg-fd-accent transition-colors", + ghost: "text-fd-muted-foreground hover:text-fd-foreground transition-colors", +}; + +const BASE_CLASSES = + "inline-flex items-center gap-2 rounded-md px-5 py-2.5 text-sm font-medium"; + +type CommonProps = { + variant?: ButtonVariant; + icon?: ReactNode; + children: ReactNode; + className?: string; +}; + +type AsLink = CommonProps & { + href: string; +} & Omit, "href" | "className" | "children">; + +type AsButton = CommonProps & { + href?: undefined; +} & Omit< + ComponentProps<"button">, + "className" | "children" | keyof CommonProps + >; + +export function Button(props: AsLink | AsButton) { + const { variant = "primary", icon, children, className, ...rest } = props; + const classes = cn(BASE_CLASSES, VARIANT_CLASSES[variant], className); + + if ("href" in rest && rest.href !== undefined) { + const { href, ...linkRest } = rest; + return ( + + {children} + {icon} + + ); + } + + return ( + + ); +} diff --git a/docs/src/components/ui/code-panel.tsx b/docs/src/components/ui/code-panel.tsx new file mode 100644 index 0000000..1072eef --- /dev/null +++ b/docs/src/components/ui/code-panel.tsx @@ -0,0 +1,83 @@ +import type { ReactNode } from "react"; +import { cn } from "@/lib/cn"; + +export type CodePanelTone = "primary" | "muted" | "default"; + +const TONE_CLASSES: Record = { + primary: "border-t-2 border-t-fd-primary", + muted: "border-t-2 border-t-fd-border", + default: "", +}; + +const LABEL_TONE_CLASSES: Record = { + primary: "text-fd-primary", + muted: "text-fd-foreground", + default: "text-fd-foreground", +}; + +type LabelHeader = { + label: string; + caption?: string; + header?: undefined; +}; + +type CustomHeader = { + label?: undefined; + caption?: undefined; + header: ReactNode; +}; + +type NoHeader = { + label?: undefined; + caption?: undefined; + header?: undefined; +}; + +export type CodePanelProps = { + tone?: CodePanelTone; + className?: string; + children: ReactNode; +} & (LabelHeader | CustomHeader | NoHeader); + +export function CodePanel(props: CodePanelProps) { + const { tone = "default", className, children } = props; + + return ( +
+ {renderHeader(props)} + {children} +
+ ); +} + +function renderHeader(props: CodePanelProps) { + if (props.header !== undefined) { + return ( +
+ {props.header} +
+ ); + } + if (props.label !== undefined) { + const tone = props.tone ?? "default"; + return ( +
+ + {props.label} + + {props.caption ? ( + + {props.caption} + + ) : null} +
+ ); + } + return null; +} diff --git a/docs/src/components/ui/index.ts b/docs/src/components/ui/index.ts new file mode 100644 index 0000000..3a4bccd --- /dev/null +++ b/docs/src/components/ui/index.ts @@ -0,0 +1,10 @@ +export { Button, type ButtonVariant } from "./button"; +export { + CodePanel, + type CodePanelProps, + type CodePanelTone, +} from "./code-panel"; +export { + SectionHeader, + type SectionHeaderAlign, +} from "./section-header"; diff --git a/docs/src/components/ui/section-header.tsx b/docs/src/components/ui/section-header.tsx new file mode 100644 index 0000000..d8196d9 --- /dev/null +++ b/docs/src/components/ui/section-header.tsx @@ -0,0 +1,32 @@ +import { cn } from "@/lib/cn"; + +export type SectionHeaderAlign = "center" | "left"; + +export function SectionHeader({ + title, + description, + align = "center", + className, +}: { + title: string; + description?: string; + align?: SectionHeaderAlign; + className?: string; +}) { + return ( +
+

+ {title} +

+ {description ? ( +

{description}

+ ) : null} +
+ ); +} diff --git a/docs/src/css/custom.css b/docs/src/css/custom.css deleted file mode 100644 index 4bfd63c..0000000 --- a/docs/src/css/custom.css +++ /dev/null @@ -1,162 +0,0 @@ -:root { - --ifm-color-primary: #6c5ce7; - --ifm-color-primary-dark: #5a48e0; - --ifm-color-primary-darker: #5140dd; - --ifm-color-primary-darkest: #3a27d0; - --ifm-color-primary-light: #7e70ee; - --ifm-color-primary-lighter: #8779f0; - --ifm-color-primary-lightest: #a69af5; - --ifm-code-font-size: 95%; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); - - --dagron-status-pending: #a0aec0; - --dagron-status-running: #4299e1; - --dagron-status-completed: #48bb78; - --dagron-status-failed: #f56565; - --dagron-status-skipped: #ed8936; - --dagron-status-timed-out: #ed64a6; - --dagron-status-cancelled: #a0aec0; - --dagron-status-cache-hit: #38b2ac; -} - -[data-theme="dark"] { - --ifm-color-primary: #a29bfe; - --ifm-color-primary-dark: #8b82fe; - --ifm-color-primary-darker: #7d73fd; - --ifm-color-primary-darkest: #5243fd; - --ifm-color-primary-light: #b9b4fe; - --ifm-color-primary-lighter: #c7c3fe; - --ifm-color-primary-lightest: #edecff; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); - --ifm-background-color: #1a1a2e; - --ifm-background-surface-color: #16213e; - - --dagron-status-pending: #718096; - --dagron-status-running: #63b3ed; - --dagron-status-completed: #68d391; - --dagron-status-failed: #fc8181; - --dagron-status-skipped: #f6ad55; - --dagron-status-timed-out: #f687b3; - --dagron-status-cancelled: #718096; - --dagron-status-cache-hit: #4fd1c5; -} - -.api-signature { - background: var(--ifm-code-background); - border: 1px solid var(--ifm-color-emphasis-300); - border-radius: var(--ifm-code-border-radius); - padding: 1rem; - margin-bottom: 1rem; - overflow-x: auto; - font-family: var(--ifm-font-family-monospace); - font-size: 0.9rem; - line-height: 1.5; -} - -.api-signature__anchor { - color: var(--ifm-color-primary); - text-decoration: none; - font-weight: 600; -} - -.api-signature__anchor:hover { - text-decoration: underline; -} - -.param-table { - width: 100%; - margin-bottom: 1.5rem; -} - -.param-table th { - background: var(--ifm-color-emphasis-100); - text-align: left; -} - -.param-table td code { - font-size: 0.85rem; -} - -.status-badge { - display: inline-block; - padding: 0.15rem 0.5rem; - border-radius: 999px; - font-size: 0.75rem; - font-weight: 600; - text-transform: uppercase; - letter-spacing: 0.05em; - color: #fff; -} - -.status-badge--pending { - background: var(--dagron-status-pending); -} -.status-badge--running { - background: var(--dagron-status-running); -} -.status-badge--completed { - background: var(--dagron-status-completed); -} -.status-badge--failed { - background: var(--dagron-status-failed); -} -.status-badge--skipped { - background: var(--dagron-status-skipped); -} -.status-badge--timed-out { - background: var(--dagron-status-timed-out); -} -.status-badge--cancelled { - background: var(--dagron-status-cancelled); -} -.status-badge--cache-hit { - background: var(--dagron-status-cache-hit); -} - -.dag-diagram { - margin: 1.5rem 0; -} - -[data-theme="dark"] .dag-diagram .docusaurus-mermaid-container svg .nodeLabel { - color: #e0e0e0; - fill: #e0e0e0; -} - -.feature-card { - border: 1px solid var(--ifm-color-emphasis-200); - border-radius: var(--ifm-global-radius); - padding: 1.25rem; - transition: - box-shadow 0.2s, - border-color 0.2s; -} - -.feature-card:hover { - border-color: var(--ifm-color-primary); - box-shadow: 0 2px 12px rgba(0, 0, 0, 0.08); -} - -.feature-card__title { - font-size: 1.1rem; - font-weight: 600; - margin-bottom: 0.5rem; -} - -.feature-card__description { - font-size: 0.9rem; - color: var(--ifm-font-color-secondary); - margin-bottom: 0.75rem; -} - -.feature-card__links { - display: flex; - gap: 1rem; - font-size: 0.85rem; -} - -.feature-grid { - display: grid; - grid-template-columns: repeat(auto-fill, minmax(280px, 1fr)); - gap: 1rem; - margin: 1.5rem 0; -} diff --git a/docs/src/lib/cn.ts b/docs/src/lib/cn.ts new file mode 100644 index 0000000..a70ebb6 --- /dev/null +++ b/docs/src/lib/cn.ts @@ -0,0 +1,6 @@ +import { type ClassValue, clsx } from "clsx"; +import { twMerge } from "tailwind-merge"; + +export function cn(...inputs: ClassValue[]): string { + return twMerge(clsx(inputs)); +} diff --git a/docs/src/lib/layout.shared.tsx b/docs/src/lib/layout.shared.tsx new file mode 100644 index 0000000..1302f16 --- /dev/null +++ b/docs/src/lib/layout.shared.tsx @@ -0,0 +1,38 @@ +import type { BaseLayoutProps } from "fumadocs-ui/layouts/shared"; +import { appName, gitConfig } from "./shared"; + +const PRIMARY_NAV_LINKS = [ + { + text: "Guide", + url: "/guide/getting-started", + }, + { + text: "API", + url: "/api/core/core", + }, + { + text: "Typed & Reactive", + url: "/typed-and-reactive", + }, + { + text: "Changelog", + url: `https://github.com/${gitConfig.user}/${gitConfig.repo}/blob/${gitConfig.branch}/CHANGELOG.md`, + external: true, + }, +]; + +export function baseOptions(): BaseLayoutProps { + return { + nav: { + title: appName, + }, + githubUrl: `https://github.com/${gitConfig.user}/${gitConfig.repo}`, + }; +} + +export function homeOptions(): BaseLayoutProps { + return { + ...baseOptions(), + links: PRIMARY_NAV_LINKS, + }; +} diff --git a/docs/src/lib/shared.ts b/docs/src/lib/shared.ts new file mode 100644 index 0000000..282dd52 --- /dev/null +++ b/docs/src/lib/shared.ts @@ -0,0 +1,10 @@ +export const appName = "dagron"; +export const docsRoute = "/"; +export const docsImageRoute = "/og"; +export const docsContentRoute = "/llms.mdx"; + +export const gitConfig = { + user: "ByteVeda", + repo: "dagron", + branch: "master", +}; diff --git a/docs/src/lib/source.ts b/docs/src/lib/source.ts new file mode 100644 index 0000000..47710c0 --- /dev/null +++ b/docs/src/lib/source.ts @@ -0,0 +1,36 @@ +import { docs } from "collections/server"; +import { loader } from "fumadocs-core/source"; +import { docsContentRoute, docsImageRoute, docsRoute } from "./shared"; + +// See https://fumadocs.dev/docs/headless/source-api for more info +export const source = loader({ + baseUrl: docsRoute, + source: docs.toFumadocsSource(), + plugins: [], +}); + +export function getPageImage(page: (typeof source)["$inferPage"]) { + const segments = [...page.slugs, "image.png"]; + + return { + segments, + url: `${docsImageRoute}/${segments.join("/")}`, + }; +} + +export function getPageMarkdownUrl(page: (typeof source)["$inferPage"]) { + const segments = [...page.slugs, "content.md"]; + + return { + segments, + url: `${docsContentRoute}/${segments.join("/")}`, + }; +} + +export async function getLLMText(page: (typeof source)["$inferPage"]) { + const processed = await page.data.getText("processed"); + + return `# ${page.data.title} (${page.url}) + +${processed}`; +} diff --git a/docs/tsconfig.json b/docs/tsconfig.json index 920d7a6..f43f873 100644 --- a/docs/tsconfig.json +++ b/docs/tsconfig.json @@ -1,8 +1,35 @@ { - // This file is not used in compilation. It is here just for a nice editor experience. - "extends": "@docusaurus/tsconfig", "compilerOptions": { - "baseUrl": "." + "target": "ESNext", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "paths": { + "@/*": ["./src/*"], + "collections/*": ["./.source/*"] + }, + "plugins": [ + { + "name": "next" + } + ] }, - "exclude": [".docusaurus", "build"] + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts" + ], + "exclude": ["node_modules"] } diff --git a/py_src/dagron/__init__.py b/py_src/dagron/__init__.py index bf08983..65e4971 100644 --- a/py_src/dagron/__init__.py +++ b/py_src/dagron/__init__.py @@ -15,8 +15,10 @@ NodeIterator, NodeLevelIterator, NodeNotFoundError, + NodeRef, ReachabilityIndex, ScheduledNode, + StaleNodeRefError, ) from dagron._patches import apply_patches as _apply_patches from dagron.analysis import ( @@ -48,6 +50,7 @@ validate_schema, ) from dagron.display import pretty_print +from dagron.effects import Effect, effects_of from dagron.execution import ( ApprovalGate, AsyncDAGExecutor, @@ -98,6 +101,7 @@ profile_execution, task, ) +from dagron.flow import Flow, FlowFuture, flow from dagron.integration import from_records from dagron.plugins import ( DagronPlugin, @@ -162,11 +166,14 @@ def __getattr__(name: str) -> object: "DynamicModification", "DynamicNodeSpec", "EdgeNotFoundError", + "Effect", "ExecutionCallbacks", "ExecutionPlan", "ExecutionResult", "ExecutionStep", "ExecutionTrace", + "Flow", + "FlowFuture", "GateController", "GateRejectedError", "GateStatus", @@ -195,6 +202,7 @@ def __getattr__(name: str) -> object: "NodeLevelIterator", "NodeNotFoundError", "NodeProfile", + "NodeRef", "NodeResult", "NodeStatus", "PartitionedDAGExecutor", @@ -211,6 +219,7 @@ def __getattr__(name: str) -> object: "ResourceTimeline", "ScheduledNode", "SchemaViolation", + "StaleNodeRefError", "TemplateError", "TemplateParam", "ThreadBackend", @@ -219,7 +228,9 @@ def __getattr__(name: str) -> object: "VersionedDAG", "WhatIfResult", "compose", + "effects_of", "extract_contracts", + "flow", "from_records", "pretty_print", "profile_execution", diff --git a/py_src/dagron/__init__.pyi b/py_src/dagron/__init__.pyi index 159a0a7..d812ba8 100644 --- a/py_src/dagron/__init__.pyi +++ b/py_src/dagron/__init__.pyi @@ -45,12 +45,18 @@ from dagron._internal import ( from dagron._internal import ( NodeNotFoundError as NodeNotFoundError, ) +from dagron._internal import ( + NodeRef as NodeRef, +) from dagron._internal import ( ReachabilityIndex as ReachabilityIndex, ) from dagron._internal import ( ScheduledNode as ScheduledNode, ) +from dagron._internal import ( + StaleNodeRefError as StaleNodeRefError, +) from dagron.analysis import ( DAGSchema as DAGSchema, ) @@ -116,6 +122,8 @@ from dagron.dataframe import ( from dagron.dataframe import ( validate_schema as validate_schema, ) +from dagron.effects import Effect as Effect +from dagron.effects import effects_of as effects_of from dagron.execution import ( AsyncDAGExecutor as AsyncDAGExecutor, ) @@ -200,6 +208,9 @@ from dagron.execution import ( from dagron.execution import ( task as task, ) +from dagron.flow import Flow as Flow +from dagron.flow import FlowFuture as FlowFuture +from dagron.flow import flow as flow from dagron.versioning import ( Mutation as Mutation, ) diff --git a/py_src/dagron/_internal.pyi b/py_src/dagron/_internal.pyi index 2ac8515..761b652 100644 --- a/py_src/dagron/_internal.pyi +++ b/py_src/dagron/_internal.pyi @@ -6,7 +6,11 @@ from typing import Any, Literal from dagron.builder import DAGBuilder class NodeId: - """An immutable identifier for a node in the DAG.""" + """Snapshot identifier for a node, returned by enumeration methods. + + Carries the node's `name` plus a snapshot internal `index`. The `index` + may be reused after node removal — for a stable handle, use `NodeRef`. + """ @property def index(self) -> int: ... @@ -17,6 +21,28 @@ class NodeId: def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... +class NodeRef: + """A stable, persistent handle to a node. + + Returned by `DAG.add_node`. Survives unrelated mutations and is invalidated + only when its own node is removed (or removed-and-readded with the same + name, which yields a fresh handle with a different `epoch`). Pass it + anywhere a `str` name is accepted. + """ + + @property + def name(self) -> str: ... + @property + def epoch(self) -> int: ... + def __repr__(self) -> str: ... + def __str__(self) -> str: ... + def __eq__(self, other: object) -> bool: ... + def __hash__(self) -> int: ... + +# Public alias: anywhere dagron accepts a node identifier, you can pass either +# a string name or a NodeRef. +type NodeArg = str | NodeRef + class ScheduledNode: """A node with scheduling information.""" @@ -61,9 +87,9 @@ class ReachabilityIndex: Note: The index becomes stale if the DAG is mutated after building. """ - def can_reach(self, from_node: str, to_node: str) -> bool: ... - def reachable_from(self, node: str) -> list[str]: ... - def ancestors_of(self, node: str) -> list[str]: ... + def can_reach(self, from_node: NodeArg, to_node: NodeArg) -> bool: ... + def reachable_from(self, node: NodeArg) -> list[str]: ... + def ancestors_of(self, node: NodeArg) -> list[str]: ... def node_count(self) -> int: ... class GraphStats: @@ -151,42 +177,47 @@ class DAG: name: str, payload: Any = None, metadata: Any = None, - ) -> NodeId: ... + ) -> NodeRef: ... def add_nodes( self, nodes: Sequence[str | tuple[str, Any] | tuple[str, Any, Any]], - ) -> list[NodeId]: ... + ) -> list[NodeRef]: ... + def node_ref(self, name: str) -> NodeRef | None: ... def add_edge( self, - from_node: str, - to_node: str, + from_node: NodeArg, + to_node: NodeArg, weight: float | None = None, label: str | None = None, ) -> None: ... def add_edges( self, - edges: list[tuple[str, str] | tuple[str, str, float] | tuple[str, str, float, str]], + edges: list[ + tuple[NodeArg, NodeArg] + | tuple[NodeArg, NodeArg, float] + | tuple[NodeArg, NodeArg, float, str] + ], ) -> None: ... - def remove_node(self, name: str) -> None: ... - def remove_edge(self, from_node: str, to_node: str) -> None: ... + def remove_node(self, node: NodeArg) -> None: ... + def remove_edge(self, from_node: NodeArg, to_node: NodeArg) -> None: ... @staticmethod def builder() -> DAGBuilder: ... # --- Introspection --- - def has_node(self, name: str) -> bool: ... - def has_edge(self, from_node: str, to_node: str) -> bool: ... + def has_node(self, node: NodeArg) -> bool: ... + def has_edge(self, from_node: NodeArg, to_node: NodeArg) -> bool: ... def node_count(self) -> int: ... def edge_count(self) -> int: ... - def get_payload(self, name: str) -> Any: ... - def set_payload(self, name: str, payload: Any) -> None: ... - def get_metadata(self, name: str) -> Any: ... - def set_metadata(self, name: str, metadata: Any) -> None: ... - def predecessors(self, name: str) -> list[NodeId]: ... - def successors(self, name: str) -> list[NodeId]: ... - def ancestors(self, name: str) -> list[NodeId]: ... - def descendants(self, name: str) -> list[NodeId]: ... - def in_degree(self, name: str) -> int: ... - def out_degree(self, name: str) -> int: ... + def get_payload(self, node: NodeArg) -> Any: ... + def set_payload(self, node: NodeArg, payload: Any) -> None: ... + def get_metadata(self, node: NodeArg) -> Any: ... + def set_metadata(self, node: NodeArg, metadata: Any) -> None: ... + def predecessors(self, node: NodeArg) -> list[NodeId]: ... + def successors(self, node: NodeArg) -> list[NodeId]: ... + def ancestors(self, node: NodeArg) -> list[NodeId]: ... + def descendants(self, node: NodeArg) -> list[NodeId]: ... + def in_degree(self, node: NodeArg) -> int: ... + def out_degree(self, node: NodeArg) -> int: ... def roots(self) -> list[NodeId]: ... def leaves(self) -> list[NodeId]: ... def nodes(self) -> list[NodeId]: ... @@ -195,8 +226,8 @@ class DAG: def iter_nodes(self) -> NodeIterator: ... def iter_roots(self) -> NodeIterator: ... def iter_leaves(self) -> NodeIterator: ... - def iter_ancestors(self, name: str) -> NodeIterator: ... - def iter_descendants(self, name: str) -> NodeIterator: ... + def iter_ancestors(self, node: NodeArg) -> NodeIterator: ... + def iter_descendants(self, node: NodeArg) -> NodeIterator: ... # --- Validation --- def validate(self) -> bool: ... @@ -253,11 +284,11 @@ class DAG: def reverse(self) -> DAG: ... def collapse( self, - nodes: list[str], + nodes: Sequence[NodeArg], collapsed_name: str, payload: Any = None, ) -> DAG: ... - def dominator_tree(self, root: str) -> list[tuple[str, str]]: ... + def dominator_tree(self, root: NodeArg) -> list[tuple[str, str]]: ... def snapshot(self) -> DAG: ... def transitive_reduction(self) -> DAG: ... def transitive_closure(self) -> DAG: ... @@ -270,14 +301,14 @@ class DAG: ) -> DAG: ... # --- Incremental --- - def dirty_set(self, changed: list[str]) -> list[str]: ... - def change_provenance(self, changed: list[str]) -> dict[str, list[str]]: ... + def dirty_set(self, changed: Sequence[NodeArg]) -> list[str]: ... + def change_provenance(self, changed: Sequence[NodeArg]) -> dict[str, list[str]]: ... # --- Subgraph --- - def subgraph(self, nodes: list[str]) -> DAG: ... + def subgraph(self, nodes: Sequence[NodeArg]) -> DAG: ... def subgraph_by_depth( self, - root: str, + root: NodeArg, depth: int, direction: Literal["forward", "backward", "both"] = "both", ) -> DAG: ... @@ -285,21 +316,21 @@ class DAG: # --- Paths --- def all_paths( self, - from_node: str, - to_node: str, + from_node: NodeArg, + to_node: NodeArg, limit: int | None = None, ) -> list[list[NodeId]]: ... - def shortest_path(self, from_node: str, to_node: str) -> list[NodeId] | None: ... + def shortest_path(self, from_node: NodeArg, to_node: NodeArg) -> list[NodeId] | None: ... def longest_path( self, - from_node: str, - to_node: str, + from_node: NodeArg, + to_node: NodeArg, costs: dict[str, float] | None = None, ) -> tuple[list[NodeId], float] | None: ... # --- Reachability --- def build_reachability_index(self) -> ReachabilityIndex: ... - def is_ancestor(self, ancestor: str, descendant: str) -> bool: ... + def is_ancestor(self, ancestor: NodeArg, descendant: NodeArg) -> bool: ... # --- Matching --- def nodes_matching_regex(self, pattern: str) -> list[NodeId]: ... @@ -361,16 +392,16 @@ class DAG: # --- Analysis (monkey-patched) --- def explain( self, - node: str, + node: NodeArg, costs: dict[str, float] | None = None, ) -> Any: ... def what_if( self, *, - remove_nodes: list[str] | None = None, - remove_edges: list[tuple[str, str]] | None = None, - add_nodes: list[str] | None = None, - add_edges: list[tuple[str, str]] | None = None, + remove_nodes: Sequence[NodeArg] | None = None, + remove_edges: Sequence[tuple[NodeArg, NodeArg]] | None = None, + add_nodes: Sequence[str] | None = None, + add_edges: Sequence[tuple[NodeArg, NodeArg]] | None = None, costs: dict[str, float] | None = None, ) -> Any: ... def lint( @@ -412,3 +443,4 @@ class NodeNotFoundError(DagronError): ... class DuplicateNodeError(DagronError): ... class EdgeNotFoundError(DagronError): ... class GraphError(DagronError): ... +class StaleNodeRefError(DagronError): ... diff --git a/py_src/dagron/analysis/explain.py b/py_src/dagron/analysis/explain.py index 34bd120..bd0811f 100644 --- a/py_src/dagron/analysis/explain.py +++ b/py_src/dagron/analysis/explain.py @@ -5,10 +5,17 @@ from dataclasses import dataclass, field from typing import TYPE_CHECKING +from dagron._internal import NodeRef + if TYPE_CHECKING: from dagron._internal import DAG +def _name_of(node: str | NodeRef) -> str: + """Coerce either a string or a NodeRef into a node name.""" + return node.name if isinstance(node, NodeRef) else node + + @dataclass(frozen=True) class NodeExplanation: """Structured diagnostic for a single node in the DAG.""" @@ -80,18 +87,21 @@ def summary(self) -> str: return "\n".join(lines) -def explain(dag: DAG, node_name: str, costs: dict[str, float] | None = None) -> NodeExplanation: +def explain( + dag: DAG, node: str | NodeRef, costs: dict[str, float] | None = None +) -> NodeExplanation: """Generate a structured diagnostic for a node. Args: dag: The DAG to analyze. - node_name: Name of the node to explain. + node: The node to explain (str name or NodeRef). costs: Optional cost mapping for critical path analysis. Returns: NodeExplanation with depth, critical path membership, bottleneck score, dominator set, and dependency chains. """ + node_name = _name_of(node) # Depth: which topological level is this node on? levels = dag.topological_levels() depth_from_root = 0 @@ -170,19 +180,20 @@ def explain(dag: DAG, node_name: str, costs: dict[str, float] | None = None) -> def what_if( dag: DAG, *, - remove_nodes: list[str] | None = None, - remove_edges: list[tuple[str, str]] | None = None, + remove_nodes: list[str | NodeRef] | None = None, + remove_edges: list[tuple[str | NodeRef, str | NodeRef]] | None = None, add_nodes: list[str] | None = None, - add_edges: list[tuple[str, str]] | None = None, + add_edges: list[tuple[str | NodeRef, str | NodeRef]] | None = None, costs: dict[str, float] | None = None, ) -> WhatIfResult: """Analyze the effect of hypothetical mutations without modifying the DAG. Args: dag: The DAG to analyze. - remove_nodes: Nodes to hypothetically remove. + remove_nodes: Nodes to hypothetically remove (str or NodeRef). remove_edges: Edges to hypothetically remove. - add_nodes: Nodes to hypothetically add. + add_nodes: Nodes to hypothetically add (must be string names — these + are new nodes that don't exist yet). add_edges: Edges to hypothetically add. costs: Optional cost mapping for critical path analysis. @@ -191,6 +202,16 @@ def what_if( """ from dagron._internal import CycleError + # Normalize NodeRef inputs to plain string names so the rest of the + # function stays string-typed. + norm_remove_nodes: list[str] = [_name_of(n) for n in remove_nodes] if remove_nodes else [] + norm_remove_edges: list[tuple[str, str]] = ( + [(_name_of(f), _name_of(t)) for f, t in remove_edges] if remove_edges else [] + ) + norm_add_edges: list[tuple[str, str]] = ( + [(_name_of(f), _name_of(t)) for f, t in add_edges] if add_edges else [] + ) + # Get baseline stats original_stats = dag.stats() original_max_parallelism = original_stats.width @@ -199,36 +220,35 @@ def what_if( mutated = dag.snapshot() # Check for cycle creation from new edges before making any changes - if add_edges: - for from_node, to_node in add_edges: - # First ensure both nodes exist - from_exists = mutated.has_node(from_node) - to_exists = mutated.has_node(to_node) - - if not from_exists: - mutated.add_node(from_node) - if not to_exists: - mutated.add_node(to_node) - - # Try adding the edge, catch cycle error + for from_node, to_node in norm_add_edges: + # First ensure both nodes exist + from_exists = mutated.has_node(from_node) + to_exists = mutated.has_node(to_node) + + if not from_exists: + mutated.add_node(from_node) + if not to_exists: + mutated.add_node(to_node) + + # Try adding the edge, catch cycle error + try: + mutated.add_edge(from_node, to_node) + except CycleError: + # Find the cycle path + # The cycle goes: to_node -> ... -> from_node -> to_node try: - mutated.add_edge(from_node, to_node) - except CycleError: - # Find the cycle path - # The cycle goes: to_node -> ... -> from_node -> to_node - try: - path_nodes = mutated.shortest_path(to_node, from_node) - if path_nodes: - cycle_path = [n.name for n in path_nodes] + [to_node] - else: - cycle_path = [from_node, to_node, from_node] - except Exception: + path_nodes = mutated.shortest_path(to_node, from_node) + if path_nodes: + cycle_path = [n.name for n in path_nodes] + [to_node] + else: cycle_path = [from_node, to_node, from_node] + except Exception: + cycle_path = [from_node, to_node, from_node] - return WhatIfResult( - would_create_cycle=True, - cycle_path=cycle_path, - ) + return WhatIfResult( + would_create_cycle=True, + cycle_path=cycle_path, + ) # Add new nodes if add_nodes: @@ -237,16 +257,14 @@ def what_if( mutated.add_node(name) # Remove edges - if remove_edges: - for from_node, to_node in remove_edges: - if mutated.has_edge(from_node, to_node): - mutated.remove_edge(from_node, to_node) + for from_node, to_node in norm_remove_edges: + if mutated.has_edge(from_node, to_node): + mutated.remove_edge(from_node, to_node) # Remove nodes - if remove_nodes: - for name in remove_nodes: - if mutated.has_node(name): - mutated.remove_node(name) + for name in norm_remove_nodes: + if mutated.has_node(name): + mutated.remove_node(name) # Analyze the result new_stats = mutated.stats() @@ -254,9 +272,9 @@ def what_if( # Find orphaned nodes: nodes that were NOT roots in the original DAG # but became roots (no predecessors) in the mutated DAG. orphaned: list[str] = [] - if remove_nodes or remove_edges: + if norm_remove_nodes or norm_remove_edges: original_roots = {n.name for n in dag.roots()} - removed_set = set(remove_nodes) if remove_nodes else set() + removed_set = set(norm_remove_nodes) for node in mutated.topological_sort(): name = node.name if name in removed_set: diff --git a/py_src/dagron/analysis/lineage.py b/py_src/dagron/analysis/lineage.py index a7aa8cf..8ebd63a 100644 --- a/py_src/dagron/analysis/lineage.py +++ b/py_src/dagron/analysis/lineage.py @@ -5,11 +5,17 @@ from dataclasses import dataclass from typing import TYPE_CHECKING +from dagron._internal import NodeRef + if TYPE_CHECKING: from dagron._internal import DAG from dagron.execution._types import ExecutionResult +def _name_of(node: str | NodeRef) -> str: + return node.name if isinstance(node, NodeRef) else node + + @dataclass(frozen=True) class LineageRecord: """Lineage information for a single completed node. @@ -65,11 +71,11 @@ def _build_completed_set(self) -> set[str]: if nr.status == NodeStatus.COMPLETED } - def lineage(self, node: str) -> LineageRecord: + def lineage(self, node: str | NodeRef) -> LineageRecord: """Compute lineage for a single node. Args: - node: Name of the node to analyse. + node: The node to analyse (str name or NodeRef). Returns: A :class:`LineageRecord` containing the node's upstream @@ -78,14 +84,15 @@ def lineage(self, node: str) -> LineageRecord: Raises: KeyError: If the node is not in the DAG. """ - preds = [n.name for n in self._dag.predecessors(node)] + node_name = _name_of(node) + preds = [n.name for n in self._dag.predecessors(node_name)] direct_inputs = sorted(n for n in preds if n in self._completed) - ancestors = {n.name for n in self._dag.ancestors(node)} + ancestors = {n.name for n in self._dag.ancestors(node_name)} completed_ancestors = ancestors & self._completed upstream_chain = sorted(completed_ancestors) - depth = self._compute_depth(node, completed_ancestors) + depth = self._compute_depth(node_name, completed_ancestors) return LineageRecord( direct_inputs=direct_inputs, @@ -94,11 +101,11 @@ def lineage(self, node: str) -> LineageRecord: depth=depth, ) - def impact(self, node: str) -> ImpactRecord: + def impact(self, node: str | NodeRef) -> ImpactRecord: """Compute downstream impact of a single node. Args: - node: Name of the node to analyse. + node: The node to analyse (str name or NodeRef). Returns: An :class:`ImpactRecord` describing downstream completed nodes. @@ -106,10 +113,11 @@ def impact(self, node: str) -> ImpactRecord: Raises: KeyError: If the node is not in the DAG. """ - succs = [n.name for n in self._dag.successors(node)] + node_name = _name_of(node) + succs = [n.name for n in self._dag.successors(node_name)] directly_affects = sorted(n for n in succs if n in self._completed) - descs = {n.name for n in self._dag.descendants(node)} + descs = {n.name for n in self._dag.descendants(node_name)} completed_descs = descs & self._completed transitively_affects = sorted(completed_descs) @@ -122,7 +130,7 @@ def impact(self, node: str) -> ImpactRecord: affected_leaves=affected_leaves, ) - def data_flow_path(self, source: str, target: str) -> list[str] | None: + def data_flow_path(self, source: str | NodeRef, target: str | NodeRef) -> list[str] | None: """Find the shortest path where all intermediate nodes completed. Args: @@ -133,7 +141,9 @@ def data_flow_path(self, source: str, target: str) -> list[str] | None: List of node names forming the shortest completed path, or ``None`` if no such path exists. """ - all_paths_result = self._dag.all_paths(source, target) + source_name = _name_of(source) + target_name = _name_of(target) + all_paths_result = self._dag.all_paths(source_name, target_name) best: list[str] | None = None for path in all_paths_result: names = [n.name for n in path] diff --git a/py_src/dagron/builder.py b/py_src/dagron/builder.py index 8a485ba..8a717d5 100644 --- a/py_src/dagron/builder.py +++ b/py_src/dagron/builder.py @@ -4,12 +4,17 @@ from typing import TYPE_CHECKING -from dagron._internal import DAG +from dagron._internal import DAG, NodeRef if TYPE_CHECKING: from dagron.contracts import ContractViolation, NodeContract +def _name_of(arg: str | NodeRef) -> str: + """Extract a node's name from either a string or a NodeRef.""" + return arg.name if isinstance(arg, NodeRef) else arg + + class DAGBuilder: """Fluent builder for constructing DAGs. @@ -50,28 +55,28 @@ def add_node( def add_edge( self, - from_node: str, - to_node: str, + from_node: str | NodeRef, + to_node: str | NodeRef, weight: float | None = None, label: str | None = None, ) -> DAGBuilder: """Add an edge to the builder. Args: - from_node: Source node name. - to_node: Target node name. + from_node: Source node — accepts a string name or a NodeRef. + to_node: Target node — accepts a string name or a NodeRef. weight: Optional edge weight. label: Optional edge label. Returns: self for chaining. """ - self._edges.append((from_node, to_node, weight, label)) + self._edges.append((_name_of(from_node), _name_of(to_node), weight, label)) return self def contract( self, - node: str, + node: str | NodeRef, *, inputs: dict[str, type] | None = None, output: type = object, @@ -88,7 +93,7 @@ def contract( """ from dagron.contracts import NodeContract - self._contracts[node] = NodeContract( + self._contracts[_name_of(node)] = NodeContract( inputs=inputs or {}, output=output, ) diff --git a/py_src/dagron/builder.pyi b/py_src/dagron/builder.pyi index a922e6d..4aee440 100644 --- a/py_src/dagron/builder.pyi +++ b/py_src/dagron/builder.pyi @@ -2,7 +2,7 @@ from typing import Any -from dagron._internal import DAG +from dagron._internal import DAG, NodeRef from dagron.contracts import ContractViolation class DAGBuilder: @@ -17,14 +17,14 @@ class DAGBuilder: ) -> DAGBuilder: ... def add_edge( self, - from_node: str, - to_node: str, + from_node: str | NodeRef, + to_node: str | NodeRef, weight: float | None = None, label: str | None = None, ) -> DAGBuilder: ... def contract( self, - node: str, + node: str | NodeRef, *, inputs: dict[str, type] | None = None, output: type = ..., diff --git a/py_src/dagron/contentcache.py b/py_src/dagron/contentcache.py new file mode 100644 index 0000000..998d554 --- /dev/null +++ b/py_src/dagron/contentcache.py @@ -0,0 +1,365 @@ +"""Content-addressed cache — Nix-flake-style cross-process compute caching. + +Different from the in-process `dagron.execution.content_cache.ContentAddressableCache`: + +* **Filesystem is the index.** No `index.json` to keep in sync — each cached + entry lives at a path derived from its content hash, so independent + processes (CI workers, two terminals, two Python interpreters) share + intermediates transparently. +* **Effect-aware.** Only nodes whose `dagron.Effect` tag reports + `is_cacheable` are stored; `WRITE`/`NETWORK`/`NONDETERMINISTIC` are + bypassed automatically. +* **Pluggable hashers.** Pickle + blake2b is the default; bring your own + `Hasher` for numpy arrays, polars frames, or anything tobyte-friendly. + +Storage layout:: + + ~/.cache/dagron/cas///.cache payload bytes + ~/.cache/dagron/cas///.cache.tmp atomic temp file + +where `//` are the first two-character shards of the hex +fingerprint. POSIX `rename(2)` makes writes visible atomically. + +Example:: + + from dagron import Effect + from dagron.contentcache import ContentCache, fingerprint_node + + cache = ContentCache() # default location + + def slow_fn(rows: list[int]) -> int: + return sum(rows) + + fp = fingerprint_node(slow_fn, Effect.PURE, [b"input-fp-bytes"]) + value, hit = cache.get(fp) + if not hit: + value = slow_fn([1, 2, 3]) + cache.put(fp, value) +""" + +from __future__ import annotations + +import contextlib +import hashlib +import inspect +import os +import pickle +import sys +import tempfile +from pathlib import Path +from typing import TYPE_CHECKING, Any, Protocol, runtime_checkable + +if TYPE_CHECKING: + from collections.abc import Callable + + from dagron.effects import Effect + + +# --------------------------------------------------------------------------- +# Default cache location +# --------------------------------------------------------------------------- + + +def default_cache_dir() -> Path: + """Default CAS location — `$DAGRON_CACHE_DIR` or `~/.cache/dagron/cas`.""" + env = os.environ.get("DAGRON_CACHE_DIR") + if env: + return Path(env) + return Path.home() / ".cache" / "dagron" / "cas" + + +# --------------------------------------------------------------------------- +# Hasher protocol — pluggable per-type fingerprinting +# --------------------------------------------------------------------------- + + +@runtime_checkable +class Hasher(Protocol): + """Compute a stable byte fingerprint for a Python value. + + Implementations should be deterministic (same value → same bytes + across processes and Python sessions). For non-pickleable types, + bring your own `Hasher` and register it via `ContentCache.register_hasher`. + """ + + def __call__(self, value: Any) -> bytes: ... + + +def default_hash(value: Any) -> bytes: + """Default hasher: pickle + blake2b (32-byte digest). + + Pickle is deterministic enough for hashing in 99% of cases (Python's + built-in containers, dataclasses, dicts in insertion order, etc.). + Falls back to `repr()` for unpickleable values. + """ + try: + data = pickle.dumps(value, protocol=pickle.DEFAULT_PROTOCOL) + except (pickle.PicklingError, TypeError, AttributeError): + data = repr(value).encode("utf-8", errors="replace") + return hashlib.blake2b(data, digest_size=32).digest() + + +def numpy_hash(value: Any) -> bytes: + """Hasher for numpy arrays — uses `array.tobytes()` for byte equality. + + Falls back to `default_hash` for non-array inputs so it can be used + as a default hasher in mixed pipelines. + """ + try: + import numpy as np + except ImportError: + return default_hash(value) + + if isinstance(value, np.ndarray): + h = hashlib.blake2b(digest_size=32) + h.update(str(value.dtype).encode()) + h.update(str(value.shape).encode()) + h.update(value.tobytes()) + return h.digest() + return default_hash(value) + + +# --------------------------------------------------------------------------- +# Function fingerprinting +# --------------------------------------------------------------------------- + + +def fingerprint_function(fn: Callable[..., Any]) -> bytes: + """Stable fingerprint for a callable. + + Combines: + * `__qualname__` + * `__code__.co_code` bytes (the bytecode) + * `__code__.co_consts` tuple (constants referenced) + * Names of free variables + * Python major.minor version (bytecode is version-specific) + + Closure cell *values* are NOT included — the user must include them + explicitly via `inputs` if they affect the result, otherwise stale + closures could yield silent cache hits. + """ + h = hashlib.blake2b(digest_size=32) + h.update(f"py{sys.version_info.major}.{sys.version_info.minor}\n".encode()) + h.update(getattr(fn, "__qualname__", fn.__name__).encode()) + h.update(b"\x00") + code = getattr(fn, "__code__", None) + if code is not None: + h.update(code.co_code) + h.update(b"\x00") + # co_consts may contain code objects (nested defs); pickle them. + try: + h.update(pickle.dumps(code.co_consts, protocol=pickle.DEFAULT_PROTOCOL)) + except Exception: + h.update(repr(code.co_consts).encode()) + h.update(b"\x00") + h.update(",".join(code.co_freevars).encode()) + return h.digest() + + +def fingerprint_node( + fn: Callable[..., Any], + effect: Effect | None, + input_fingerprints: list[bytes], +) -> bytes: + """Compose a node's full fingerprint from function + effect + inputs. + + Args: + fn: The task function whose output is being fingerprinted. + effect: The task's effect tag (or None to skip the tag). + input_fingerprints: Ordered list of upstream input fingerprints. + + Returns: + A 32-byte blake2b digest uniquely identifying this (function, inputs) + combination. Stable across processes and Python invocations as long + as the function's source and inputs don't change. + """ + h = hashlib.blake2b(digest_size=32) + h.update(fingerprint_function(fn)) + h.update(b"\x00") + if effect is not None: + h.update(effect.value.encode()) + h.update(b"\x00") + for fp in input_fingerprints: + h.update(fp) + return h.digest() + + +# --------------------------------------------------------------------------- +# ContentCache — the storage backend +# --------------------------------------------------------------------------- + + +# Magic bytes prepended to every cache file so we can detect corruption +# and version mismatches. +_MAGIC = b"DAGRON\x06\x01" # "DAGRON" + format-version major/minor + + +class ContentCache: + """Cross-process content-addressed cache backed by the filesystem. + + Each entry is keyed by a 32-byte `bytes` fingerprint. The cache is + transparent across processes: if process A computes and `put`s a + fingerprint, process B's `get` for the same fingerprint hits the + cache without any coordination, because the fingerprint is the + filesystem path. + + Args: + cache_dir: Directory to store cache files (default: `~/.cache/dagron/cas`). + hasher: Optional custom hasher used by `compute_or_cached`. + Independent of the storage layer. + """ + + def __init__( + self, + cache_dir: Path | str | None = None, + hasher: Hasher | None = None, + ) -> None: + self._cache_dir = Path(cache_dir) if cache_dir is not None else default_cache_dir() + self._cache_dir.mkdir(parents=True, exist_ok=True) + self._hasher: Hasher = hasher if hasher is not None else default_hash + + @property + def cache_dir(self) -> Path: + return self._cache_dir + + def _path_for(self, fingerprint: bytes) -> Path: + """Map a fingerprint to its on-disk cache file path.""" + hex_fp = fingerprint.hex() + # Two levels of 2-char sharding to keep dir entries < 65k. + return self._cache_dir / hex_fp[:2] / hex_fp[2:4] / f"{hex_fp[4:]}.cache" + + # ----- low-level: raw fingerprint → bytes ---------------------------- + + def get(self, fingerprint: bytes) -> tuple[Any, bool]: + """Look up a value. Returns `(value, hit)`.""" + path = self._path_for(fingerprint) + if not path.exists(): + return None, False + try: + with path.open("rb") as f: + magic = f.read(len(_MAGIC)) + if magic != _MAGIC: + return None, False + payload = f.read() + return pickle.loads(payload), True + except (OSError, pickle.UnpicklingError, EOFError): + # Treat corruption as a miss — the next put will overwrite. + return None, False + + def put(self, fingerprint: bytes, value: Any) -> None: + """Store a value. Atomic: temp-file + rename.""" + path = self._path_for(fingerprint) + path.parent.mkdir(parents=True, exist_ok=True) + # NamedTemporaryFile in the same directory so rename(2) is atomic + # (POSIX requires same-filesystem rename). + try: + payload = pickle.dumps(value, protocol=pickle.DEFAULT_PROTOCOL) + except (pickle.PicklingError, TypeError, AttributeError): + return + with tempfile.NamedTemporaryFile( + mode="wb", + dir=path.parent, + prefix=path.name + ".", + suffix=".tmp", + delete=False, + ) as tmp: + tmp.write(_MAGIC) + tmp.write(payload) + tmp_path = Path(tmp.name) + try: + os.replace(tmp_path, path) # atomic on POSIX + except OSError: + # Best-effort cleanup; another process may have raced us. + with contextlib.suppress(FileNotFoundError): + tmp_path.unlink() + + def has(self, fingerprint: bytes) -> bool: + return self._path_for(fingerprint).exists() + + def delete(self, fingerprint: bytes) -> None: + path = self._path_for(fingerprint) + with contextlib.suppress(FileNotFoundError): + path.unlink() + + def clear(self) -> None: + """Remove all cache entries (but keep the directory tree).""" + if not self._cache_dir.exists(): + return + for sub in self._cache_dir.rglob("*.cache"): + with contextlib.suppress(FileNotFoundError): + sub.unlink() + + # ----- high-level: hash + cache + compute ---------------------------- + + def hash(self, value: Any) -> bytes: + """Apply the configured Hasher to `value`.""" + return self._hasher(value) + + def compute_or_cached( + self, + fn: Callable[..., Any], + args: tuple[Any, ...] = (), + kwargs: dict[str, Any] | None = None, + effect: Effect | None = None, + ) -> tuple[Any, bool]: + """Compute `fn(*args, **kwargs)`, hitting the cache if possible. + + Effect-aware: if `effect.is_cacheable` is False, runs `fn` directly + without consulting or writing to the cache. The function's source + and the input fingerprints together form the cache key. + + Args: + fn: The function to compute. + args: Positional arguments. Each is fingerprinted with the configured + hasher and contributes to the cache key. + kwargs: Keyword arguments. Same hashing treatment. + effect: Optional effect tag from `dagron.Effect`. If None, defaults + to caching (treats fn as PURE). + + Returns: + `(value, hit)` — `hit` is True if served from cache. + """ + kwargs = kwargs or {} + + # Effect gate: skip cache entirely for impure tasks. + if effect is not None and not effect.is_cacheable: + return fn(*args, **kwargs), False + + input_fps = [self._hasher(a) for a in args] + [ + self._hasher((k, v)) for k, v in sorted(kwargs.items()) + ] + fp = fingerprint_node(fn, effect, input_fps) + + cached, hit = self.get(fp) + if hit: + return cached, True + value = fn(*args, **kwargs) + self.put(fp, value) + return value, False + + +# Detect numpy at import; not required, but lets us wire the numpy hasher +# automatically when the user opts in. +def has_numpy() -> bool: + """Return True if numpy is importable in this interpreter.""" + return inspect.ismodule(sys.modules.get("numpy")) or _try_import_numpy() + + +def _try_import_numpy() -> bool: + try: + import numpy # noqa: F401 + except ImportError: + return False + return True + + +__all__ = [ + "ContentCache", + "Hasher", + "default_cache_dir", + "default_hash", + "fingerprint_function", + "fingerprint_node", + "has_numpy", + "numpy_hash", +] diff --git a/py_src/dagron/effects.py b/py_src/dagron/effects.py new file mode 100644 index 0000000..5a4309b --- /dev/null +++ b/py_src/dagron/effects.py @@ -0,0 +1,175 @@ +"""Effect tags for `@task`-decorated functions. + +Effect tags classify each task by what side effects (if any) it performs. +Phase 4 stores them as metadata on the `TaskSpec` and on each DAG node; +later phases use them to gate parallelism (Phase 4 executor flag), enable +content-addressed caching (Phase 6 — only PURE/READ are cacheable), drive +reactive recomputation (Phase 5 — only PURE auto-recomputes on input +change), and constrain replay (Phase 7 — NONDETERMINISTIC nodes can't be +replayed deterministically). + +Default for a `@task` is `Effect.PURE`; an AST-scan heuristic emits a +`UserWarning` at decoration time if a `PURE` task touches obviously-impure +builtins like `time.time()`, `random.*`, `os.*`, or `requests.*`. +""" + +from __future__ import annotations + +import ast +import inspect +import textwrap +import warnings +from enum import Enum +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from collections.abc import Callable + + +class Effect(Enum): + """Purity / side-effect classification for a `@dagron.task`. + + Ordered from most-pure to most-impure: + + * `PURE` — deterministic; no I/O, no clock/random/threading. Cacheable, + replayable, freely parallelizable. The default. + * `READ` — reads from a stable external source (file, DB) but is + idempotent over a snapshot. Cacheable when the source is pinned; + replayable. + * `WRITE` — writes to an external system. Not cacheable; replay is + idempotent only if the receiver is. + * `NETWORK` — performs network I/O. Output may vary; not cacheable; + not deterministically replayable. + * `NONDETERMINISTIC` — uses time, randomness, threading, or other + sources of non-determinism. Not cacheable, not replayable; serializes + under effect isolation. + """ + + PURE = "pure" + READ = "read" + WRITE = "write" + NETWORK = "network" + NONDETERMINISTIC = "nondeterministic" + + @property + def is_cacheable(self) -> bool: + """True if this effect class admits content-addressed caching.""" + return self in (Effect.PURE, Effect.READ) + + @property + def is_deterministic(self) -> bool: + """True if multiple invocations with the same inputs produce the same output.""" + return self in (Effect.PURE, Effect.READ) + + @property + def is_isolated(self) -> bool: + """True if instances of this effect class must serialize under effect isolation.""" + return self == Effect.NONDETERMINISTIC + + +# --------------------------------------------------------------------------- +# AST-scan heuristic: detect obviously-impure calls inside a PURE task body +# --------------------------------------------------------------------------- + + +# Module-attribute pairs whose presence in a PURE task body is suspicious. +# Format: (module_name, attribute_name) — None for the attribute means any access. +_IMPURE_CALLS: frozenset[tuple[str, str | None]] = frozenset( + { + ("time", "time"), + ("time", "monotonic"), + ("time", "perf_counter"), + ("time", "sleep"), + ("random", None), + ("os", None), + ("requests", None), + ("urllib", None), + ("httpx", None), + ("aiohttp", None), + ("socket", None), + ("uuid", "uuid1"), + ("uuid", "uuid4"), + ("threading", None), + ("multiprocessing", None), + } +) + + +def _scan_for_impure_calls(fn: Callable[..., object]) -> list[str]: + """Walk a function's AST and return a list of suspicious call names. + + Returns an empty list if the source can't be retrieved (built-in, + REPL-defined function, etc.) or if no impure calls are found. + """ + try: + source = inspect.getsource(fn) + except (OSError, TypeError): + return [] + + try: + tree = ast.parse(textwrap.dedent(source)) + except SyntaxError: + return [] + + findings: list[str] = [] + for node in ast.walk(tree): + # Pattern: `module.attr(...)` or `module.attr` access inside the function + if isinstance(node, ast.Attribute) and isinstance(node.value, ast.Name): + mod = node.value.id + attr = node.attr + if (mod, attr) in _IMPURE_CALLS or (mod, None) in _IMPURE_CALLS: + findings.append(f"{mod}.{attr}") + # Direct name access (e.g. `random` imported as `from random import *`) + # is harder to detect reliably without import tracking; skip for now. + + # Deduplicate while preserving order + seen: set[str] = set() + deduped: list[str] = [] + for f in findings: + if f not in seen: + seen.add(f) + deduped.append(f) + return deduped + + +def _warn_if_impure(fn: Callable[..., object], effect: Effect) -> None: + """Emit a UserWarning if a PURE-tagged function appears to be impure.""" + if effect != Effect.PURE: + return + findings = _scan_for_impure_calls(fn) + if not findings: + return + qualname = getattr(fn, "__qualname__", fn.__name__) + warnings.warn( + f"@task(effect=Effect.PURE) {qualname!r} appears to call impure " + f"functions: {', '.join(findings)}. If the call is intentional, " + f"either silence with @task(effect=Effect.NONDETERMINISTIC) (or a " + f"more specific tag) or refactor to inject the dependency. " + f"This is a heuristic — false positives are possible.", + UserWarning, + stacklevel=3, + ) + + +def effects_of(dag: object) -> dict[str, Effect]: + """Read every node's effect tag from a DAG built by `@dagron.flow`. + + Looks up each node's metadata for an `"effect"` string and converts + it back to an `Effect`. Nodes without an effect tag default to + `Effect.PURE` (which is also the default for `@task`). + + Args: + dag: A `dagron.DAG` instance (typed as `object` to avoid an import + cycle with `dagron._internal`). + """ + result: dict[str, Effect] = {} + for node in dag.nodes(): # type: ignore[attr-defined] + meta = dag.get_metadata(node.name) # type: ignore[attr-defined] + if isinstance(meta, dict) and isinstance(meta.get("effect"), str): + try: + result[node.name] = Effect(meta["effect"]) + continue + except ValueError: + pass + result[node.name] = Effect.PURE + return result diff --git a/py_src/dagron/execution/_helpers.py b/py_src/dagron/execution/_helpers.py index 0474dc4..cdbc3c0 100644 --- a/py_src/dagron/execution/_helpers.py +++ b/py_src/dagron/execution/_helpers.py @@ -16,7 +16,7 @@ def _run_sync_task( name: str, task_fn: Callable[[], Any], callbacks: ExecutionCallbacks, -) -> NodeResult: +) -> NodeResult[Any]: """Execute a synchronous task function with callbacks.""" from dagron.execution._types import NodeResult, NodeStatus @@ -57,7 +57,7 @@ def _record_skip( from dagron.execution._types import NodeResult, NodeStatus from dagron.execution.tracing import TraceEventType - nr = NodeResult(name=name, status=NodeStatus.SKIPPED) + nr: NodeResult[Any] = NodeResult(name=name, status=NodeStatus.SKIPPED) result.node_results[name] = nr result.skipped += 1 if callbacks.on_skip: diff --git a/py_src/dagron/execution/_types.py b/py_src/dagron/execution/_types.py index d33cf4d..83c2329 100644 --- a/py_src/dagron/execution/_types.py +++ b/py_src/dagron/execution/_types.py @@ -4,12 +4,19 @@ from dataclasses import dataclass, field from enum import Enum -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, TypeVar, overload if TYPE_CHECKING: from collections.abc import Callable + from dagron._internal import NodeRef from dagron.execution.tracing import ExecutionTrace + from dagron.flow import FlowFuture + + +# Type variable used for `__getitem__` overloads (PEP 695 generic syntax is +# used directly on `NodeResult` below, so this TypeVar is method-scoped). +T = TypeVar("T") class NodeStatus(Enum): @@ -26,8 +33,14 @@ class NodeStatus(Enum): @dataclass -class NodeResult: - """Result of executing a single node.""" +class NodeResult[T]: + """Result of executing a single node. + + Generic in the wrapped value type so typed lookups + (e.g. `result[my_flow_future]`) preserve the value's type at the + *class* level. The `result` field is typed `Any` for backwards + compat with code that subscripts it directly (`result["k"].result["x"]`). + """ name: str status: NodeStatus @@ -55,7 +68,7 @@ class ExecutionCallbacks: class ExecutionResult: """Aggregate result of executing an entire DAG.""" - node_results: dict[str, NodeResult] = field(default_factory=dict) + node_results: dict[str, NodeResult[Any]] = field(default_factory=dict) succeeded: int = 0 failed: int = 0 skipped: int = 0 @@ -63,3 +76,20 @@ class ExecutionResult: cancelled: int = 0 total_duration_seconds: float = 0.0 trace: ExecutionTrace | None = None + + @overload + def __getitem__(self, node: FlowFuture[T]) -> NodeResult[T]: ... + @overload + def __getitem__(self, node: str | NodeRef) -> NodeResult[Any]: ... + def __getitem__(self, node: str | NodeRef | FlowFuture[Any]) -> NodeResult[Any]: + """Look up a node's result by string name, NodeRef, or FlowFuture.""" + # Both NodeRef and FlowFuture expose `.name`. + key = node if isinstance(node, str) else node.name + return self.node_results[key] + + def __contains__(self, node: object) -> bool: + if isinstance(node, str): + return node in self.node_results + # NodeRef and FlowFuture both expose `.name`. + name = getattr(node, "name", None) + return name in self.node_results if isinstance(name, str) else False diff --git a/py_src/dagron/execution/cached_executor.py b/py_src/dagron/execution/cached_executor.py index 194392f..a0590b5 100644 --- a/py_src/dagron/execution/cached_executor.py +++ b/py_src/dagron/execution/cached_executor.py @@ -106,7 +106,7 @@ def get_ancestors(name: str) -> set[str]: for name in topo_order: # Skip if a dependency has failed if self._fail_fast and failed_nodes and get_ancestors(name) & failed_nodes: - nr = NodeResult(name=name, status=NodeStatus.SKIPPED) + nr: NodeResult[Any] = NodeResult(name=name, status=NodeStatus.SKIPPED) result.node_results[name] = nr result.skipped += 1 if self._callbacks.on_skip: diff --git a/py_src/dagron/execution/checkpoint.py b/py_src/dagron/execution/checkpoint.py index 1b664fc..7b04046 100644 --- a/py_src/dagron/execution/checkpoint.py +++ b/py_src/dagron/execution/checkpoint.py @@ -208,7 +208,7 @@ def _run( if resume_from and name in resume_from: saved = self._load_node_result(name) if saved and saved["status"] == "completed": - nr = NodeResult( + nr: NodeResult[Any] = NodeResult( name=name, status=NodeStatus.COMPLETED, result=saved["result"], diff --git a/py_src/dagron/execution/conditions.py b/py_src/dagron/execution/conditions.py index 786d288..d06ba99 100644 --- a/py_src/dagron/execution/conditions.py +++ b/py_src/dagron/execution/conditions.py @@ -161,7 +161,7 @@ def execute( if self._fail_fast and failed_nodes: ancestors = {n.name for n in self._dag.ancestors(name)} if ancestors & failed_nodes: - nr = NodeResult(name=name, status=NodeStatus.SKIPPED) + nr: NodeResult[Any] = NodeResult(name=name, status=NodeStatus.SKIPPED) result.node_results[name] = nr result.skipped += 1 skipped_nodes.add(name) diff --git a/py_src/dagron/execution/distributed_executor.py b/py_src/dagron/execution/distributed_executor.py index fa71e3f..0e59ea2 100644 --- a/py_src/dagron/execution/distributed_executor.py +++ b/py_src/dagron/execution/distributed_executor.py @@ -137,7 +137,7 @@ def get_ancestors(name: str) -> set[str]: try: value = self._backend.result(future, timeout=self._node_timeout) duration = time.monotonic() - t0 - nr = NodeResult( + nr: NodeResult[Any] = NodeResult( name=name, status=NodeStatus.COMPLETED, result=value, diff --git a/py_src/dagron/execution/dynamic.py b/py_src/dagron/execution/dynamic.py index 107e77f..16895fa 100644 --- a/py_src/dagron/execution/dynamic.py +++ b/py_src/dagron/execution/dynamic.py @@ -139,7 +139,7 @@ def get_ready_nodes() -> list[str]: for name in ready: # Skip if a dependency has failed if self._fail_fast and failed_nodes and get_ancestors(name) & failed_nodes: - nr = NodeResult(name=name, status=NodeStatus.SKIPPED) + nr: NodeResult[Any] = NodeResult(name=name, status=NodeStatus.SKIPPED) result.node_results[name] = nr result.skipped += 1 completed_nodes.add(name) diff --git a/py_src/dagron/execution/executor.py b/py_src/dagron/execution/executor.py index 87e388a..a740cad 100644 --- a/py_src/dagron/execution/executor.py +++ b/py_src/dagron/execution/executor.py @@ -9,11 +9,12 @@ if TYPE_CHECKING: import threading - from collections.abc import Awaitable, Callable + from collections.abc import Awaitable, Callable, Mapping from dagron._internal import DAG from dagron.plugins.hooks import HookRegistry +from dagron._internal import NodeRef from dagron.execution._helpers import _record_skip, _run_sync_task from dagron.execution._types import ( ExecutionCallbacks, @@ -23,6 +24,13 @@ ) +def _normalize_tasks( + tasks: Mapping[Any, Any], +) -> dict[str, Any]: + """Normalize a tasks dict that may use NodeRef keys to string-keyed.""" + return {(k.name if isinstance(k, NodeRef) else k): v for k, v in tasks.items()} + + def _fire_hook(hooks: HookRegistry | None, **kwargs: Any) -> None: """Fire a hook if the registry is available.""" if hooks is not None: @@ -43,6 +51,9 @@ class DAGExecutor: costs: Optional dict mapping node names to duration estimates. callbacks: Optional ExecutionCallbacks for lifecycle events. fail_fast: If True, skip downstream nodes when a dependency fails. + enforce_effect_isolation: If True, NONDETERMINISTIC tasks within a + step run sequentially (other effect classes still parallelize). + Reads each node's effect tag from `dagron.effects.effects_of`. """ def __init__( @@ -54,6 +65,7 @@ def __init__( fail_fast: bool = True, enable_tracing: bool = False, hooks: HookRegistry | None = None, + enforce_effect_isolation: bool = False, ): self._dag = dag self._max_workers = max_workers @@ -62,17 +74,31 @@ def __init__( self._fail_fast = fail_fast self._enable_tracing = enable_tracing self._hooks = hooks + self._enforce_effect_isolation = enforce_effect_isolation + # Cache effect tags per node so the executor doesn't re-read metadata + # on every step. + self._effects: dict[str, str] = {} + if enforce_effect_isolation: + from dagron.effects import effects_of + + self._effects = {n: e.value for n, e in effects_of(dag).items()} + + def _is_isolated(self, name: str) -> bool: + """True if `name`'s effect tag requires serial execution under isolation.""" + from dagron.effects import Effect + + return self._effects.get(name) == Effect.NONDETERMINISTIC.value def execute( self, - tasks: dict[str, Callable[[], Any]], + tasks: Mapping[Any, Callable[[], Any]], timeout: float | None = None, cancel_event: threading.Event | None = None, ) -> ExecutionResult: """Execute tasks according to the DAG's dependency order. Args: - tasks: Dict mapping node names to callables. + tasks: Dict mapping node identifiers (str or NodeRef) to callables. Each callable takes no arguments and returns a result. timeout: Optional per-node timeout in seconds. Nodes that exceed this duration get TIMED_OUT status. @@ -85,6 +111,8 @@ def execute( from dagron.execution.tracing import ExecutionTrace, TraceEventType from dagron.plugins.hooks import HookEvent + str_tasks: dict[str, Callable[[], Any]] = _normalize_tasks(tasks) + if self._max_workers is not None: plan = self._dag.execution_plan_constrained(self._max_workers, self._costs) else: @@ -109,6 +137,22 @@ def get_ancestors(name: str) -> set[str]: ancestors_cache[name] = anc return ancestors_cache[name] + # Lock ensuring at most one NONDETERMINISTIC task runs at a time + # under effect isolation. PURE/READ/WRITE/NETWORK tasks ignore it. + import threading as _threading + + isolation_lock = _threading.Lock() if self._enforce_effect_isolation else None + + def maybe_isolate(node_name: str, fn: Callable[[], Any]) -> Callable[[], Any]: + if isolation_lock is not None and self._is_isolated(node_name): + + def serialised() -> Any: + with isolation_lock: + return fn() + + return serialised + return fn + pool_workers = self._max_workers or plan.max_parallelism or 1 with ThreadPoolExecutor(max_workers=pool_workers) as pool: for step in plan.steps: @@ -120,8 +164,10 @@ def get_ancestors(name: str) -> set[str]: for scheduled_node in step.nodes: name = scheduled_node.node.name if name not in result.node_results: - nr = NodeResult(name=name, status=NodeStatus.CANCELLED) - result.node_results[name] = nr + cancel_nr: NodeResult[Any] = NodeResult( + name=name, status=NodeStatus.CANCELLED + ) + result.node_results[name] = cancel_nr result.cancelled += 1 if trace: trace.record(TraceEventType.NODE_CANCELLED, node_name=name) @@ -138,7 +184,7 @@ def get_ancestors(name: str) -> set[str]: _record_skip(name, result, self._callbacks, trace) continue - task_fn = tasks.get(name) + task_fn = str_tasks.get(name) if task_fn is None: _record_skip(name, result, self._callbacks, trace) continue @@ -148,11 +194,13 @@ def get_ancestors(name: str) -> set[str]: _fire_hook( self._hooks, event=HookEvent.PRE_NODE, dag=self._dag, node_name=name ) - futures[pool.submit(_run_sync_task, name, task_fn, self._callbacks)] = name + isolated_fn = maybe_isolate(name, task_fn) + futures[pool.submit(_run_sync_task, name, isolated_fn, self._callbacks)] = name # Wait for all futures in this step for future in futures: name = futures[future] + nr: NodeResult[Any] try: nr = future.result(timeout=timeout) except TimeoutError: @@ -262,15 +310,16 @@ def __init__( async def execute( self, - tasks: dict[str, Callable[[], Awaitable[Any]]], + tasks: Mapping[Any, Callable[[], Awaitable[Any]]], timeout: float | None = None, cancel_event: asyncio.Event | None = None, ) -> ExecutionResult: """Execute async tasks according to the DAG's dependency order. Args: - tasks: Dict mapping node names to async callables. - Each callable takes no arguments and returns an awaitable. + tasks: Dict mapping node identifiers (str or NodeRef) to async + callables. Each callable takes no arguments and returns an + awaitable. timeout: Optional per-node timeout in seconds. Nodes that exceed this duration get TIMED_OUT status. cancel_event: Optional asyncio.Event. When set, remaining @@ -282,6 +331,8 @@ async def execute( from dagron.execution.tracing import ExecutionTrace, TraceEventType from dagron.plugins.hooks import HookEvent + str_tasks: dict[str, Callable[[], Awaitable[Any]]] = _normalize_tasks(tasks) + if self._max_workers is not None: plan = self._dag.execution_plan_constrained(self._max_workers, self._costs) else: @@ -315,8 +366,10 @@ def get_ancestors(name: str) -> set[str]: for scheduled_node in step.nodes: name = scheduled_node.node.name if name not in result.node_results: - nr = NodeResult(name=name, status=NodeStatus.CANCELLED) - result.node_results[name] = nr + cancel_nr2: NodeResult[Any] = NodeResult( + name=name, status=NodeStatus.CANCELLED + ) + result.node_results[name] = cancel_nr2 result.cancelled += 1 if trace: trace.record(TraceEventType.NODE_CANCELLED, node_name=name) @@ -334,7 +387,7 @@ def get_ancestors(name: str) -> set[str]: _record_skip(name, result, self._callbacks, trace) continue - task_fn = tasks.get(name) + task_fn = str_tasks.get(name) if task_fn is None: _record_skip(name, result, self._callbacks, trace) continue @@ -419,7 +472,7 @@ async def _run_task( task_fn: Callable[[], Awaitable[Any]], semaphore: asyncio.Semaphore | None, timeout: float | None = None, - ) -> NodeResult: + ) -> NodeResult[Any]: if self._callbacks.on_start: self._callbacks.on_start(name) diff --git a/py_src/dagron/execution/incremental.py b/py_src/dagron/execution/incremental.py index fa28545..3fdd3b9 100644 --- a/py_src/dagron/execution/incremental.py +++ b/py_src/dagron/execution/incremental.py @@ -20,7 +20,7 @@ class IncrementalResult: """Result of an incremental DAG execution.""" - node_results: dict[str, NodeResult] = field(default_factory=dict) + node_results: dict[str, NodeResult[Any]] = field(default_factory=dict) recomputed: list[str] = field(default_factory=list) early_cutoff: list[str] = field(default_factory=list) reused: list[str] = field(default_factory=list) diff --git a/py_src/dagron/execution/pipeline.py b/py_src/dagron/execution/pipeline.py index 8b3aa01..830861b 100644 --- a/py_src/dagron/execution/pipeline.py +++ b/py_src/dagron/execution/pipeline.py @@ -2,80 +2,22 @@ from __future__ import annotations -import asyncio import inspect -from dataclasses import dataclass from typing import TYPE_CHECKING, Any +# Re-export the shared @task / TaskSpec / _get_spec from flow.py. +# The same @task decorator powers both Pipeline (param-name wiring) and +# @dagron.flow (call-structure wiring). +from dagron.flow import TaskSpec, _get_spec, task + if TYPE_CHECKING: from collections.abc import Callable - from dagron._internal import DAG + from dagron._internal import DAG, NodeRef from dagron.execution._types import ExecutionCallbacks, ExecutionResult -@dataclass(frozen=True) -class TaskSpec: - """Metadata for a decorated task function.""" - - name: str - fn: Callable[..., Any] - dependencies: list[str] - is_async: bool - - -def task[F: Callable[..., Any]](fn: F) -> F: - """Decorator that marks a function as a DAG task. - - Dependencies are inferred from the function's parameter names. - Each parameter name must match the name of another ``@task``-decorated - function whose return value will be passed as that argument. - - Parameters with defaults are treated as optional dependencies: - if no matching task exists, the default value is used. - - Example:: - - @dagron.task - def fetch_data() -> list[dict]: ... - - @dagron.task - def process(fetch_data: list[dict]) -> pd.DataFrame: ... - - pipeline = dagron.Pipeline([fetch_data, process]) - result = pipeline.execute() - - """ - sig = inspect.signature(fn) - deps = [] - for param_name, param in sig.parameters.items(): - # Skip *args, **kwargs - if param.kind in ( - inspect.Parameter.VAR_POSITIONAL, - inspect.Parameter.VAR_KEYWORD, - ): - continue - deps.append(param_name) - - spec = TaskSpec( - name=fn.__name__, - fn=fn, - dependencies=deps, - is_async=asyncio.iscoroutinefunction(fn), - ) - fn._dagron_task = spec # type: ignore[attr-defined] - return fn - - -def _get_spec(fn: Any) -> TaskSpec: - """Extract the TaskSpec from a decorated function.""" - spec: TaskSpec | None = getattr(fn, "_dagron_task", None) - if spec is None: - raise TypeError( - f"{fn!r} is not a @dagron.task-decorated function. " - "Use @dagron.task to mark functions as pipeline tasks." - ) - return spec +__all__ = ["Pipeline", "TaskSpec", "task"] class Pipeline: @@ -179,7 +121,7 @@ def validate_contracts( def _make_task_callables( self, overrides: dict[str, Any] | None = None - ) -> dict[str, Callable[[], Any]]: + ) -> dict[str | NodeRef, Callable[[], Any]]: """Build the task dict for executors, wiring outputs as inputs.""" results: dict[str, Any] = {} if overrides: @@ -219,7 +161,7 @@ def run() -> Any: def _make_async_task_callables( self, overrides: dict[str, Any] | None = None - ) -> dict[str, Callable[[], Any]]: + ) -> dict[str | NodeRef, Callable[[], Any]]: """Build the async task dict for AsyncDAGExecutor.""" results: dict[str, Any] = {} if overrides: diff --git a/py_src/dagron/execution/resources.py b/py_src/dagron/execution/resources.py index 8a0da6a..ed06bb2 100644 --- a/py_src/dagron/execution/resources.py +++ b/py_src/dagron/execution/resources.py @@ -308,7 +308,7 @@ def get_ancestors(name: str) -> set[str]: key=lambda n: -bottom_levels.get(n, 0.0), ) - active_futures: dict[Future[NodeResult], tuple[str, ResourceRequirements]] = {} + active_futures: dict[Future[NodeResult[Any]], tuple[str, ResourceRequirements]] = {} pool_workers = max(len(tasks), 1) with ThreadPoolExecutor(max_workers=pool_workers) as pool: @@ -523,7 +523,7 @@ def get_ancestors(name: str) -> set[str]: key=lambda n: -bottom_levels.get(n, 0.0), ) - active_tasks: dict[asyncio.Task[NodeResult], tuple[str, ResourceRequirements]] = {} + active_tasks: dict[asyncio.Task[NodeResult[Any]], tuple[str, ResourceRequirements]] = {} all_nodes = set(in_degree.keys()) while completed_nodes != all_nodes: @@ -533,7 +533,7 @@ def get_ancestors(name: str) -> set[str]: continue if self._fail_fast and failed_nodes and get_ancestors(name) & failed_nodes: - nr = NodeResult(name=name, status=NodeStatus.SKIPPED) + nr: NodeResult[Any] = NodeResult(name=name, status=NodeStatus.SKIPPED) result.node_results[name] = nr result.skipped += 1 completed_nodes.add(name) @@ -622,7 +622,7 @@ async def _run_task( self, name: str, task_fn: Callable[[], Awaitable[Any]], - ) -> NodeResult: + ) -> NodeResult[Any]: if self._callbacks.on_start: self._callbacks.on_start(name) t0 = time.monotonic() diff --git a/py_src/dagron/flow.py b/py_src/dagron/flow.py new file mode 100644 index 0000000..eefd9b3 --- /dev/null +++ b/py_src/dagron/flow.py @@ -0,0 +1,458 @@ +"""Pythonic compose API — `@dagron.flow` builds a DAG from Python call structure. + +Example:: + + @dagron.task + def fetch() -> list[dict]: ... + + @dagron.task + def transform(rows: list[dict]) -> pd.DataFrame: ... + + @dagron.flow + def pipeline(): + raw = fetch() + return transform(raw) + + result = pipeline() # ExecutionResult + df = result[transform].result + dag = pipeline.dag() # the underlying DAG, for analysis +""" + +from __future__ import annotations + +import asyncio +import functools +import inspect +from contextvars import ContextVar +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any, overload + +from dagron._internal import DAG +from dagron.effects import Effect, _warn_if_impure + +if TYPE_CHECKING: + from collections.abc import Callable + + from dagron._internal import NodeRef + from dagron.execution._types import ExecutionCallbacks, ExecutionResult + + +# --------------------------------------------------------------------------- +# TaskSpec — metadata attached to every @task function +# --------------------------------------------------------------------------- + + +@dataclass(frozen=True) +class TaskSpec: + """Metadata attached to a `@dagron.task`-decorated function. + + Used by both the legacy `Pipeline` (parameter-name dependency inference) + and the `@dagron.flow` API (call-structure tracing). + """ + + name: str + fn: Callable[..., Any] + dependencies: list[str] + is_async: bool + effect: Effect = Effect.PURE + + +def _get_spec(fn: Any) -> TaskSpec: + """Extract the TaskSpec from a decorated function. Raises TypeError otherwise.""" + spec: TaskSpec | None = getattr(fn, "_dagron_task", None) + if spec is None: + raise TypeError( + f"{fn!r} is not a @dagron.task-decorated function. " + "Use @dagron.task to mark functions as pipeline tasks." + ) + return spec + + +# --------------------------------------------------------------------------- +# FlowFuture — placeholder returned from a @task call inside a @flow body +# --------------------------------------------------------------------------- + + +class FlowFuture[T]: + """Stand-in for a task's eventual return value during flow tracing. + + Returned from a `@dagron.task` call inside a `@dagron.flow` body. Pass + it as an argument to other task calls to wire dependencies. The type + parameter `T` carries the wrapped task's return type so downstream + annotations can be statically checked. + """ + + __slots__ = ("_name",) + + def __init__(self, name: str) -> None: + self._name = name + + @property + def name(self) -> str: + return self._name + + def __repr__(self) -> str: + return f"FlowFuture({self._name!r})" + + def __hash__(self) -> int: + return hash(self._name) + + def __eq__(self, other: object) -> bool: + return isinstance(other, FlowFuture) and self._name == other._name + + +# --------------------------------------------------------------------------- +# Tracing — recorded calls + active flow context +# --------------------------------------------------------------------------- + + +@dataclass +class _NodeCall: + """One recorded call to a `@task` function inside a `@flow` body.""" + + name: str + fn: Callable[..., Any] + args: tuple[Any, ...] + kwargs: dict[str, Any] + deps: list[str] # names of upstream FlowFutures referenced in args/kwargs + + +@dataclass +class _FlowTrace: + """Records calls made inside a single @flow invocation.""" + + calls: list[_NodeCall] = field(default_factory=list) + counter: dict[str, int] = field(default_factory=dict) + + def fresh_name(self, base: str) -> str: + n = self.counter.get(base, 0) + self.counter[base] = n + 1 + return base if n == 0 else f"{base}_{n}" + + def record( + self, fn: Callable[..., Any], args: tuple[Any, ...], kwargs: dict[str, Any] + ) -> FlowFuture[Any]: + deps: list[str] = [] + seen: set[str] = set() + + def collect(value: Any) -> None: + if isinstance(value, FlowFuture) and value.name not in seen: + seen.add(value.name) + deps.append(value.name) + + for a in args: + collect(a) + for v in kwargs.values(): + collect(v) + + name = self.fresh_name(fn.__name__) + self.calls.append(_NodeCall(name=name, fn=fn, args=args, kwargs=kwargs, deps=deps)) + return FlowFuture(name=name) + + +_current_flow: ContextVar[_FlowTrace | None] = ContextVar("_dagron_flow", default=None) + + +# --------------------------------------------------------------------------- +# @task decorator — flow-aware +# --------------------------------------------------------------------------- + + +def _wrap_task[**P, R](fn: Callable[P, R], effect: Effect) -> Callable[P, R]: + """Internal: wrap `fn` with flow-aware dispatch and attach a TaskSpec.""" + sig = inspect.signature(fn) + deps = [ + p_name + for p_name, p in sig.parameters.items() + if p.kind not in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD) + ] + spec = TaskSpec( + name=fn.__name__, + fn=fn, + dependencies=deps, + is_async=asyncio.iscoroutinefunction(fn), + effect=effect, + ) + _warn_if_impure(fn, effect) + + @functools.wraps(fn) + def wrapper(*args: P.args, **kwargs: P.kwargs) -> R: + trace = _current_flow.get() + if trace is not None: + # Pass the wrapper itself so consumers downstream of the trace + # (e.g. metadata mirroring) can read its `_dagron_task` spec. + # The cast is the deliberate "type lie": at trace time we hand + # back a FlowFuture, but the type system sees R. + return trace.record(wrapper, args, kwargs) # type: ignore[return-value] + return fn(*args, **kwargs) + + wrapper._dagron_task = spec # type: ignore[attr-defined] + return wrapper + + +@overload +def task[**P, R](fn: Callable[P, R], /) -> Callable[P, R]: ... +@overload +def task[**P, R](*, effect: Effect = ...) -> Callable[[Callable[P, R]], Callable[P, R]]: ... +def task( + fn: Callable[..., Any] | None = None, + /, + *, + effect: Effect = Effect.PURE, +) -> Any: + """Decorator that marks a function as a dagron task. + + Behavior: + + * **Outside** a `@dagron.flow` context, the decorated function executes + normally. + * **Inside** a `@dagron.flow` context, calling it records the call in + the flow trace and returns a `FlowFuture[R]` placeholder. The + function body is *not* executed during tracing. + + Typed as a passthrough: `Callable[P, R] -> Callable[P, R]`. The + runtime values inside a flow context are `FlowFuture[R]` — pass them + to other `@task` calls to wire dependencies. + + Functions decorated with this are also compatible with the legacy + `Pipeline` class (parameter-name dependency inference). + + Args: + fn: The function to decorate. Provided automatically when used as + a bare `@task` decorator. + effect: Side-effect classification of this task. Default + `Effect.PURE`. See `dagron.effects.Effect` for the ladder. + + Example:: + + @dagron.task + def fetch_data() -> list[dict]: ... # defaults to PURE + + @dagron.task(effect=Effect.NETWORK) + def fetch_user(uid: int) -> dict: ... + + @dagron.flow + def my_flow(): + raw = fetch_data() + return process(raw) + """ + if fn is not None: + # Bare @task usage: `@task\ndef foo(): ...` + return _wrap_task(fn, effect) + + # Parameterised: `@task(effect=...)\ndef foo(): ...` + def decorator(real_fn: Callable[..., Any]) -> Callable[..., Any]: + return _wrap_task(real_fn, effect) + + return decorator + + +# --------------------------------------------------------------------------- +# Building DAG + executor callables from a trace +# --------------------------------------------------------------------------- + + +def _build_dag(trace: _FlowTrace) -> DAG: + dag = DAG() + for call in trace.calls: + # Mirror the task's effect onto node metadata so downstream + # consumers (executor isolation, content cache, reactive engine, + # replay) can read it without re-introspecting the function. + spec = getattr(call.fn, "_dagron_task", None) + metadata = {"effect": spec.effect.value} if spec is not None else None + dag.add_node(call.name, metadata=metadata) + for call in trace.calls: + for dep in call.deps: + dag.add_edge(dep, call.name) + return dag + + +def _make_callables(trace: _FlowTrace, results: dict[str, Any]) -> dict[str, Callable[[], Any]]: + """Build executor callables that resolve FlowFuture args from `results`. + + `results` is shared mutable state; each callable writes its own result + on completion and reads upstream results on entry. + """ + + def make_callable(call: _NodeCall) -> Callable[[], Any]: + def run() -> Any: + resolved_args = tuple( + results[a._name] if isinstance(a, FlowFuture) else a for a in call.args + ) + resolved_kwargs = { + k: (results[v._name] if isinstance(v, FlowFuture) else v) + for k, v in call.kwargs.items() + } + value = call.fn(*resolved_args, **resolved_kwargs) + results[call.name] = value + return value + + return run + + return {call.name: make_callable(call) for call in trace.calls} + + +def _make_async_callables( + trace: _FlowTrace, results: dict[str, Any] +) -> dict[str, Callable[[], Any]]: + """Async variant of `_make_callables`.""" + + def make_callable(call: _NodeCall) -> Callable[[], Any]: + async def arun() -> Any: + resolved_args = tuple( + results[a._name] if isinstance(a, FlowFuture) else a for a in call.args + ) + resolved_kwargs = { + k: (results[v._name] if isinstance(v, FlowFuture) else v) + for k, v in call.kwargs.items() + } + value = call.fn(*resolved_args, **resolved_kwargs) + if asyncio.iscoroutine(value): + value = await value + results[call.name] = value + return value + + return arun + + return {call.name: make_callable(call) for call in trace.calls} + + +# --------------------------------------------------------------------------- +# Flow class & @flow decorator +# --------------------------------------------------------------------------- + + +class Flow: + """A flow built from a `@dagron.flow`-decorated function. + + Calling a `Flow` instance traces the function, builds the DAG, executes + it, and returns an `ExecutionResult`. For DAG-only inspection (without + execution), use `Flow.dag()`. + + Each call retraces the function body, so dynamic branching (`if`/`for` + on outer parameters) produces a fresh DAG per invocation. + """ + + def __init__(self, fn: Callable[..., Any]) -> None: + self._fn = fn + functools.update_wrapper(self, fn) + + def _trace(self, *args: Any, **kwargs: Any) -> tuple[_FlowTrace, FlowFuture[Any] | None]: + """Run the flow body in trace mode and return (trace, return_value).""" + if _current_flow.get() is not None: + raise RuntimeError( + "Nested @dagron.flow invocations are not supported. " + "If you need composition, build sub-flows separately." + ) + trace = _FlowTrace() + token = _current_flow.set(trace) + try: + ret = self._fn(*args, **kwargs) + finally: + _current_flow.reset(token) + if ret is not None and not isinstance(ret, FlowFuture): + raise TypeError( + f"@flow {self._fn.__name__!r} must return a FlowFuture or None. " + f"Got {type(ret).__name__}. Did you forget to call a " + "@dagron.task function, or call a non-task function inside the flow body?" + ) + return trace, ret + + def dag(self, *args: Any, **kwargs: Any) -> DAG: + """Trace the flow and return the resulting DAG without executing it.""" + trace, _ = self._trace(*args, **kwargs) + return _build_dag(trace) + + # Plan alias. + build = dag + + def run( + self, + *args: Any, + max_workers: int | None = None, + callbacks: ExecutionCallbacks | None = None, + fail_fast: bool = True, + enable_tracing: bool = False, + **kwargs: Any, + ) -> ExecutionResult: + """Trace, build, and execute the flow synchronously.""" + from dagron.execution.executor import DAGExecutor + + trace, _ = self._trace(*args, **kwargs) + dag = _build_dag(trace) + results: dict[str, Any] = {} + # Widen the dict's static key type so executor.execute (which accepts + # `Mapping[str | NodeRef, ...]`) type-checks. Runtime keys stay `str`. + tasks: dict[str | NodeRef, Callable[[], Any]] = { # noqa: C416 + k: v for k, v in _make_callables(trace, results).items() + } + # Sequential execution preserves the FlowFuture wiring contract: + # downstream tasks need their upstream's results in `results` before + # they run, which only happens after upstream completes. The Rust + # executor handles the topo order; max_workers=1 by default to avoid + # races on the shared `results` dict. + executor = DAGExecutor( + dag, + max_workers=max_workers, + callbacks=callbacks, + fail_fast=fail_fast, + enable_tracing=enable_tracing, + ) + return executor.execute(tasks) + + async def run_async( + self, + *args: Any, + max_workers: int | None = None, + callbacks: ExecutionCallbacks | None = None, + fail_fast: bool = True, + enable_tracing: bool = False, + **kwargs: Any, + ) -> ExecutionResult: + """Trace, build, and execute the flow asynchronously.""" + from dagron.execution.executor import AsyncDAGExecutor + + trace, _ = self._trace(*args, **kwargs) + dag = _build_dag(trace) + results: dict[str, Any] = {} + tasks: dict[str | NodeRef, Callable[[], Any]] = { # noqa: C416 + k: v for k, v in _make_async_callables(trace, results).items() + } + executor = AsyncDAGExecutor( + dag, + max_workers=max_workers or 1, + callbacks=callbacks, + fail_fast=fail_fast, + enable_tracing=enable_tracing, + ) + return await executor.execute(tasks) + + def __call__(self, *args: Any, **kwargs: Any) -> ExecutionResult: + """Calling the flow runs it and returns the ExecutionResult.""" + return self.run(*args, **kwargs) + + +def flow(fn: Callable[..., Any]) -> Flow: + """Decorator: build a DAG from the call structure of a Python function. + + Inside the decorated function, calls to `@dagron.task` functions are + recorded as nodes; passing one task's return value to another records + an edge. + + Example:: + + @dagron.task + def fetch() -> list: ... + + @dagron.task + def process(rows: list) -> dict: ... + + @dagron.flow + def pipeline(): + raw = fetch() + return process(raw) + + result = pipeline() # ExecutionResult + dag = pipeline.dag() # DAG for inspection + """ + return Flow(fn) diff --git a/py_src/dagron/reactive.py b/py_src/dagron/reactive.py new file mode 100644 index 0000000..82a6347 --- /dev/null +++ b/py_src/dagron/reactive.py @@ -0,0 +1,369 @@ +"""Reactive incremental computation — `Signal` / `Computed` / `Watcher`. + +dagron's reactive engine: mutate a leaf value (`Signal`) and only the +affected downstream `Computed` nodes recompute on next read; subscribed +`Watcher`s re-fire automatically. + +Differences from the existing `dagron.execution.reactive.ReactiveDAG`: + +* That class wraps an *existing* `dagron.DAG` and exposes a push-based + `subscribe()` / `set_input()` API. +* This module provides Solid.js / Jane-Street-`Incremental` style + primitives where the dependency graph is *implicit* — building a + `Computed` records its read dependencies as side-effects of evaluating + its function. No DAG construction step required. + +Example:: + + import dagron.reactive as dr + + a = dr.signal(1) + b = dr.signal(2) + s = dr.computed(lambda: a() + b()) + p = dr.computed(lambda: s() * 10) + + p() # 30 — initial compute, builds dep graph + a.set(5) # invalidates s and p; b untouched + p() # 70 — recomputes only s and p + + @dr.watch + def watch_p(): + print("p =", p()) # fires whenever p's value changes + + with dr.batch(): + a.set(0) + b.set(0) + # watch_p fires exactly once after the batch — glitch-free. +""" + +from __future__ import annotations + +import threading +import weakref +from contextlib import contextmanager +from typing import TYPE_CHECKING, Protocol, runtime_checkable + +if TYPE_CHECKING: + from collections.abc import Callable, Iterator + + +# --------------------------------------------------------------------------- +# Tracking machinery +# --------------------------------------------------------------------------- + + +@runtime_checkable +class _Tracker(Protocol): + """Anything that observes signals/computed and gets invalidated when they + change. Both `Computed` and `Watcher` implement it structurally. + """ + + def _add_dep(self, dep: _Observable) -> None: ... + def _invalidate(self) -> None: ... + + +@runtime_checkable +class _Observable(Protocol): + """Anything that can be read inside a tracker and notified of changes.""" + + def _attach(self, tracker: _Tracker) -> None: ... + def _detach(self, tracker: _Tracker) -> None: ... + + +_local = threading.local() + + +def _current_tracker() -> _Tracker | None: + return getattr(_local, "tracker", None) + + +@contextmanager +def _track(tracker: _Tracker) -> Iterator[None]: + """Push `tracker` onto the thread-local tracker stack for the duration + of the with-block. Inner reads of Signals/Computed will attach themselves + to `tracker` as observers. + """ + prev = getattr(_local, "tracker", None) + _local.tracker = tracker + try: + yield + finally: + _local.tracker = prev + + +# --------------------------------------------------------------------------- +# Batching — defer Watcher fires until the outermost batch ends. +# --------------------------------------------------------------------------- + + +def _batch_depth() -> int: + return getattr(_local, "batch_depth", 0) + + +def _pending_watchers() -> set[Watcher]: + pw: set[Watcher] | None = getattr(_local, "pending", None) + if pw is None: + pw = set() + _local.pending = pw + return pw + + +@contextmanager +def batch() -> Iterator[None]: + """Defer Watcher fires until the outermost `batch()` block ends. + + Multiple signal mutations inside a batch produce at most one Watcher + fire per affected Watcher — guaranteeing glitch-free semantics. + + Usage:: + + with dr.batch(): + a.set(1) + b.set(2) + # any watcher reading both a and b fires once, not twice. + """ + _local.batch_depth = _batch_depth() + 1 + try: + yield + finally: + _local.batch_depth -= 1 + if _local.batch_depth == 0: + _flush_pending_watchers() + + +def _flush_pending_watchers() -> None: + pending = _pending_watchers() + if not pending: + return + # Snapshot and clear so newly-scheduled watchers (from inside fires) + # accumulate for the next flush. + snapshot = list(pending) + pending.clear() + for w in snapshot: + if not w._disposed: + w._fire() + + +# --------------------------------------------------------------------------- +# Signal — settable leaf +# --------------------------------------------------------------------------- + + +class Signal[T]: + """A settable leaf in the reactive graph. + + Calling the signal (`s()`) returns its current value. Inside a + `Computed` body or a `Watcher` body, the read is tracked so the + consumer is invalidated when `s.set(v)` changes the value. + + Equality-checked: setting the same value (by `==`) is a no-op. + """ + + __slots__ = ("_observers", "_value") + + def __init__(self, value: T) -> None: + self._value: T = value + self._observers: weakref.WeakSet[_Tracker] = weakref.WeakSet() + + def __call__(self) -> T: + """Read the current value, registering this signal as a dependency + of the current tracker (if any).""" + tracker = _current_tracker() + if tracker is not None: + self._observers.add(tracker) + tracker._add_dep(self) + return self._value + + def set(self, value: T) -> None: + """Update the value and invalidate downstream observers. + + No-op if `value == self._value`. + """ + try: + same = self._value == value + except Exception: + same = False + if same: + return + self._value = value + # Snapshot observers; invalidation can mutate the WeakSet. + for obs in list(self._observers): + obs._invalidate() + # If we're not inside a batch, fire pending watchers now. + if _batch_depth() == 0: + _flush_pending_watchers() + + def peek(self) -> T: + """Read the current value WITHOUT registering a dependency.""" + return self._value + + def __repr__(self) -> str: + return f"Signal({self._value!r})" + + def _attach(self, tracker: _Tracker) -> None: + self._observers.add(tracker) + + def _detach(self, tracker: _Tracker) -> None: + self._observers.discard(tracker) + + +# --------------------------------------------------------------------------- +# Computed — lazy memoised derived value +# --------------------------------------------------------------------------- + + +class Computed[T]: + """A lazily-evaluated derived value. + + On first call (or after invalidation), runs `fn()`, recording the + signals/computed it reads. On subsequent calls, returns the cached + value as long as no upstream dep has been invalidated. + """ + + __slots__ = ("__weakref__", "_deps", "_dirty", "_fn", "_observers", "_value") + + def __init__(self, fn: Callable[[], T]) -> None: + self._fn = fn + self._value: T | None = None + self._dirty = True + self._deps: list[_Observable] = [] + self._observers: weakref.WeakSet[_Tracker] = weakref.WeakSet() + + def __call__(self) -> T: + """Read the current value, recomputing if dirty.""" + if self._dirty: + self._recompute() + # Register this Computed as a dep of the current tracker. + tracker = _current_tracker() + if tracker is not None and tracker is not self: + self._observers.add(tracker) + tracker._add_dep(self) + return self._value # type: ignore[return-value] + + def peek(self) -> T: + """Read without registering a dependency. Still recomputes if dirty.""" + if self._dirty: + self._recompute() + return self._value # type: ignore[return-value] + + def _recompute(self) -> None: + # Detach from old deps so they don't keep notifying us. + for d in self._deps: + d._detach(self) + self._deps = [] + with _track(self): + self._value = self._fn() + self._dirty = False + + # _Tracker protocol + def _add_dep(self, dep: _Observable) -> None: + self._deps.append(dep) + + def _invalidate(self) -> None: + if self._dirty: + return + self._dirty = True + # Cascade invalidation to my observers. + for obs in list(self._observers): + obs._invalidate() + + # _Observable protocol + def _attach(self, tracker: _Tracker) -> None: + self._observers.add(tracker) + + def _detach(self, tracker: _Tracker) -> None: + self._observers.discard(tracker) + + def __repr__(self) -> str: + state = "dirty" if self._dirty else f"={self._value!r}" + return f"Computed({state})" + + +# --------------------------------------------------------------------------- +# Watcher — side-effecting subscriber +# --------------------------------------------------------------------------- + + +class Watcher: + """A side-effecting subscriber: re-runs whenever a tracked dep changes. + + Built via `dr.watch(fn)` (decorator-style) or `dr.watch_fn(fn)`. + Construct-time, the body runs once to record initial deps. Subsequent + invalidations queue the watcher; pending watchers fire at the end of + the current `batch()` (or immediately if no batch is active). + + Call `.dispose()` to unsubscribe. + """ + + __slots__ = ("__weakref__", "_deps", "_disposed", "_fn") + + def __init__(self, fn: Callable[[], None]) -> None: + self._fn = fn + self._deps: list[_Observable] = [] + self._disposed = False + # Initial fire to establish dependencies. + self._fire() + + def _fire(self) -> None: + if self._disposed: + return + for d in self._deps: + d._detach(self) + self._deps = [] + with _track(self): + self._fn() + + def dispose(self) -> None: + """Detach from all observed signals/computed and stop firing.""" + self._disposed = True + for d in self._deps: + d._detach(self) + self._deps = [] + _pending_watchers().discard(self) + + # _Tracker protocol + def _add_dep(self, dep: _Observable) -> None: + self._deps.append(dep) + + def _invalidate(self) -> None: + if self._disposed: + return + _pending_watchers().add(self) + + +# --------------------------------------------------------------------------- +# Public factory aliases — keep call sites concise. +# --------------------------------------------------------------------------- + + +def signal[T](value: T) -> Signal[T]: + """Build a `Signal`. Convenience alias for `Signal(value)`.""" + return Signal(value) + + +def computed[T](fn: Callable[[], T]) -> Computed[T]: + """Build a `Computed`. Convenience alias for `Computed(fn)`.""" + return Computed(fn) + + +def watch(fn: Callable[[], None]) -> Watcher: + """Decorator-style: build a `Watcher` from `fn` and immediately fire once. + + Equivalent to `Watcher(fn)`. Use as a decorator to make intent clearer: + + @dr.watch + def log_p(): + print(p()) + """ + return Watcher(fn) + + +__all__ = [ + "Computed", + "Signal", + "Watcher", + "batch", + "computed", + "signal", + "watch", +] diff --git a/py_src/dagron/stubgen.py b/py_src/dagron/stubgen.py new file mode 100644 index 0000000..f4ea0af --- /dev/null +++ b/py_src/dagron/stubgen.py @@ -0,0 +1,169 @@ +"""Generate `.pyi` type stubs that statically type a built DAG's results. + +After building a DAG, call `generate_stub(dag, type_hints={...})` to emit +a stub describing each node's return type. Saving the result alongside +your code lets `mypy` give precise types to `result["my_node"]` lookups. + +Example:: + + from dagron import DAG, flow, task + from dagron.stubgen import generate_stub + + @task + def fetch() -> list[int]: ... + + @task + def total(rows: list[int]) -> int: ... + + @flow + def pipeline(): + return total(fetch()) + + dag = pipeline.dag() + print(generate_stub(dag, name="MyResult")) + +emits:: + + from typing import overload, Literal + from dagron.execution import NodeResult + + class MyResult: + @overload + def __getitem__(self, key: Literal["fetch"]) -> NodeResult[list[int]]: ... + @overload + def __getitem__(self, key: Literal["total"]) -> NodeResult[int]: ... +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Any, get_args, get_origin, get_type_hints + +from dagron.flow import _get_spec + +if TYPE_CHECKING: + from collections.abc import Callable + + from dagron._internal import DAG + + +def _format_type(t: Any) -> str: + """Format a type annotation for inclusion in a .pyi file. + + Handles generic aliases (`list[int]`, `dict[str, int]`, `int | None`) + by recursively formatting the parameters. + """ + if t is type(None): + return "None" + + # Generic alias: list[int], dict[str, int], Union, etc. + origin = get_origin(t) + args = get_args(t) + if origin is not None and args: + import types + import typing + + # Special-case PEP 604 unions ("int | None") and typing.Union + if origin is typing.Union or origin is types.UnionType: + return " | ".join(_format_type(a) for a in args) + + origin_str = _format_type(origin) + args_str = ", ".join(_format_type(a) for a in args) + return f"{origin_str}[{args_str}]" + + if hasattr(t, "__module__") and hasattr(t, "__qualname__"): + qualname: str = t.__qualname__ + if t.__module__ == "builtins": + return qualname + return f"{t.__module__}.{qualname}" + return repr(t) + + +def _infer_type(fn: Callable[..., Any]) -> str | None: + """Extract a function's return type as a stringified annotation, or None.""" + try: + hints = get_type_hints(fn) + except (NameError, AttributeError): + return None + rt = hints.get("return") + if rt is None: + return None + return _format_type(rt) + + +def generate_stub( + dag: DAG, + *, + type_hints: dict[str, type | str] | None = None, + tasks: dict[str, Callable[..., Any]] | None = None, + name: str = "TypedExecutionResult", +) -> str: + """Generate a `.pyi` stub for typed lookup of DAG results. + + Args: + dag: The built DAG to introspect. + type_hints: Optional explicit mapping of node-name to result type + (or stringified annotation). Wins over inferred hints. + tasks: Optional mapping of node-name to the implementing function. + Used to infer return types when no explicit hint is provided. + If a node-name has a corresponding `@dagron.task`-decorated + function in scope, its annotation is picked up automatically. + name: Class name for the generated typed result wrapper. + + Returns: + A `.pyi` source string. + """ + type_hints = dict(type_hints or {}) + tasks = tasks or {} + + # Discover types from each node's task function (if any). + annotations: dict[str, str] = {} + for node in dag.nodes(): + n = node.name + if n in type_hints: + ann = type_hints[n] + annotations[n] = ann if isinstance(ann, str) else _format_type(ann) + continue + fn = tasks.get(n) + if fn is not None: + inferred = _infer_type(fn) + if inferred is not None: + annotations[n] = inferred + continue + # Fall back to the TaskSpec's wrapped function + try: + spec = _get_spec(fn) + inferred2 = _infer_type(spec.fn) + if inferred2 is not None: + annotations[n] = inferred2 + continue + except TypeError: + pass + annotations[n] = "Any" + + lines: list[str] = [ + '"""Generated by dagron.stubgen — do not edit by hand."""', + "", + "from typing import Any, Literal, overload", + "", + "from dagron.execution import NodeResult", + "", + "", + f"class {name}:", + ] + + for node_name, ret in sorted(annotations.items()): + lines.append(" @overload") + lines.append( + f" def __getitem__(self, key: Literal[{node_name!r}]) -> NodeResult[{ret}]: ..." + ) + + # Default fallback overload + lines.append(" @overload") + lines.append(" def __getitem__(self, key: str) -> NodeResult[Any]: ...") + + if not annotations: + # Empty class needs a body + lines.append(" pass") + + lines.append("") + return "\n".join(lines) diff --git a/py_src/dagron/trace.py b/py_src/dagron/trace.py new file mode 100644 index 0000000..9934c6d --- /dev/null +++ b/py_src/dagron/trace.py @@ -0,0 +1,399 @@ +"""Time-travel debugging — persistent execution traces with `replay(at=t)`. + +Every node execution can be appended to an on-disk trace log. Each log +entry stores the node's fingerprints (input + output) and metadata; the +actual *payload* lives in the Phase 6 `ContentCache` keyed by the output +fingerprint, so storage stays compact and outputs are deduplicated across +runs that produced the same value. + +Replaying the run reconstructs the per-node `ExecutionResult`-like state +*as of* a chosen wall-clock time. Pure nodes replay byte-identically; +impure nodes (`WRITE` / `NETWORK` / `NONDETERMINISTIC`) surface a +"non-replayable" marker but still expose their logged output value, so +you can inspect what the run actually produced without claiming +reproducibility. + +Example:: + + from pathlib import Path + from dagron import Effect + from dagron.contentcache import ContentCache + from dagron.trace import TraceWriter, TraceReader, replay + + cas = ContentCache() + log_path = Path("/tmp/dagron-traces/myrun.jsonl") + writer = TraceWriter(log_path, cas=cas) + writer.record("fetch", value=[1, 2, 3], effect=Effect.PURE) + writer.record("total", value=6, effect=Effect.PURE) + writer.close() + + reader = TraceReader(log_path, cas=cas) + state = replay(reader) + state["total"].value # 6 +""" + +from __future__ import annotations + +import contextlib +import json +import os +import time +import uuid +from dataclasses import dataclass, field +from pathlib import Path +from typing import TYPE_CHECKING, Any + +from dagron.contentcache import ContentCache, default_cache_dir + +if TYPE_CHECKING: + from collections.abc import Iterator + + from dagron.effects import Effect + + +# --------------------------------------------------------------------------- +# Default locations +# --------------------------------------------------------------------------- + + +def default_trace_dir() -> Path: + """`$DAGRON_TRACE_DIR` or `~/.cache/dagron/traces`.""" + env = os.environ.get("DAGRON_TRACE_DIR") + if env: + return Path(env) + return Path.home() / ".cache" / "dagron" / "traces" + + +def new_run_id() -> str: + """Random short identifier for a single execution run.""" + return uuid.uuid4().hex[:16] + + +# --------------------------------------------------------------------------- +# Data types +# --------------------------------------------------------------------------- + + +@dataclass(frozen=True) +class TraceRecord: + """One node's execution recorded to the trace log. + + `output_fp` is the hex digest under which the node's value lives in the + `ContentCache`. `replayable` mirrors `Effect.is_deterministic` at + record time so the replayer can flag results that aren't guaranteed + reproducible (e.g., NETWORK reads). + """ + + timestamp: float + name: str + output_fp: str # hex + duration_ns: int = 0 + effect: str = "pure" + replayable: bool = True + error: str | None = None + metadata: dict[str, Any] = field(default_factory=dict) + + def to_json(self) -> str: + return json.dumps( + { + "t": self.timestamp, + "name": self.name, + "fp": self.output_fp, + "dur_ns": self.duration_ns, + "effect": self.effect, + "replayable": self.replayable, + "error": self.error, + "metadata": self.metadata, + }, + separators=(",", ":"), + sort_keys=True, + ) + + @classmethod + def from_json(cls, line: str) -> TraceRecord: + d = json.loads(line) + return cls( + timestamp=d["t"], + name=d["name"], + output_fp=d["fp"], + duration_ns=d.get("dur_ns", 0), + effect=d.get("effect", "pure"), + replayable=d.get("replayable", True), + error=d.get("error"), + metadata=d.get("metadata", {}), + ) + + +@dataclass(frozen=True) +class ReplayedNode: + """One node's state at a given replay timestamp.""" + + name: str + timestamp: float + value: Any + effect: str = "pure" + replayable: bool = True + duration_ns: int = 0 + error: str | None = None + + @property + def has_value(self) -> bool: + return self.error is None + + +# --------------------------------------------------------------------------- +# TraceWriter — append-only JSONL log +# --------------------------------------------------------------------------- + + +class TraceWriter: + """Append-only writer for an execution trace. + + Each call to `record()` writes a JSONL line and stores the node's + payload in the bound `ContentCache`. Atomic at the line level: the + log file is opened in append mode with `O_APPEND`, so concurrent + writers from multiple processes won't tear lines. + + Args: + path: Path to the trace log file. Parent directories are created. + cas: ContentCache used to store node payloads. If None, a default + cache at `~/.cache/dagron/cas` is created. + """ + + def __init__( + self, + path: Path | str, + *, + cas: ContentCache | None = None, + ) -> None: + self._path = Path(path) + self._path.parent.mkdir(parents=True, exist_ok=True) + self._cas = cas if cas is not None else ContentCache(default_cache_dir()) + # Open in append+binary mode so writes are O_APPEND-atomic per write(). + self._fh = self._path.open("ab") + + @property + def path(self) -> Path: + return self._path + + @property + def cas(self) -> ContentCache: + return self._cas + + def record( + self, + name: str, + *, + value: Any = None, + effect: Effect | None = None, + duration_ns: int = 0, + error: str | None = None, + metadata: dict[str, Any] | None = None, + timestamp: float | None = None, + ) -> TraceRecord: + """Record a node execution. + + Args: + name: Node name. + value: The node's output value (stored in CAS, deduped by hash). + effect: The node's effect tag. Drives the `replayable` flag. + duration_ns: How long the node took (nanoseconds). + error: Error message string if the node failed. + metadata: Extra fields to round-trip through the log. + timestamp: Override wall clock (default: now). + + Returns: + The persisted `TraceRecord`. + """ + ts = timestamp if timestamp is not None else time.time() + # Hash + store payload in CAS (only if the node succeeded). + if error is None: + output_fp = self._cas.hash(value) + self._cas.put(output_fp, value) + output_hex = output_fp.hex() + else: + output_hex = "" + + rec = TraceRecord( + timestamp=ts, + name=name, + output_fp=output_hex, + duration_ns=duration_ns, + effect=effect.value if effect is not None else "pure", + replayable=effect.is_deterministic if effect is not None else True, + error=error, + metadata=metadata or {}, + ) + line = (rec.to_json() + "\n").encode() + self._fh.write(line) + # Don't fsync per write — the OS buffer is fine; close() will flush. + return rec + + def flush(self) -> None: + self._fh.flush() + with contextlib.suppress(OSError): + os.fsync(self._fh.fileno()) + + def close(self) -> None: + try: + self.flush() + finally: + self._fh.close() + + def __enter__(self) -> TraceWriter: + return self + + def __exit__(self, *exc: object) -> None: + self.close() + + +# --------------------------------------------------------------------------- +# TraceReader — read records back, filter by time +# --------------------------------------------------------------------------- + + +class TraceReader: + """Read a persisted trace log. + + Args: + path: Path to the trace log file. + cas: ContentCache used to fetch node payloads on demand. + """ + + def __init__( + self, + path: Path | str, + *, + cas: ContentCache | None = None, + ) -> None: + self._path = Path(path) + self._cas = cas if cas is not None else ContentCache(default_cache_dir()) + + @property + def path(self) -> Path: + return self._path + + @property + def cas(self) -> ContentCache: + return self._cas + + def records(self) -> Iterator[TraceRecord]: + """Yield every record in append order. Skips malformed lines.""" + if not self._path.exists(): + return + with self._path.open("rb") as fh: + for raw in fh: + try: + line = raw.decode("utf-8").strip() + except UnicodeDecodeError: + continue + if not line: + continue + try: + yield TraceRecord.from_json(line) + except (json.JSONDecodeError, KeyError): + continue + + def timeline(self) -> list[tuple[float, str]]: + """Return `[(timestamp, node_name), ...]` in record order.""" + return [(r.timestamp, r.name) for r in self.records()] + + def records_until(self, t: float, *, inclusive: bool = True) -> Iterator[TraceRecord]: + """Yield only records with `timestamp <= t` (or `<` if not inclusive).""" + for r in self.records(): + if (r.timestamp <= t) if inclusive else (r.timestamp < t): + yield r + else: + break + + def fetch(self, rec: TraceRecord) -> Any: + """Resolve a record's payload from the CAS. Returns None for failures + and for records whose payload is no longer in the cache (cache may + have been pruned).""" + if not rec.output_fp: + return None + try: + fp_bytes = bytes.fromhex(rec.output_fp) + except ValueError: + return None + value, hit = self._cas.get(fp_bytes) + return value if hit else None + + +# --------------------------------------------------------------------------- +# replay — reconstruct state at a chosen timestamp +# --------------------------------------------------------------------------- + + +def replay( + source: TraceReader | Path | str, + *, + at: float | None = None, + cas: ContentCache | None = None, +) -> dict[str, ReplayedNode]: + """Reconstruct the per-node state of a recorded run, as of time `at`. + + For each node in the log up to `at`: + + * Pure / READ nodes: payload is fetched from CAS and exposed in the + returned `ReplayedNode.value`. `replayable` is True. + * Impure nodes (WRITE / NETWORK / NONDETERMINISTIC): payload is still + fetched (from the CAS where the original run wrote it) and exposed, + but `replayable` is False — the value is what *that* run produced, + not what a fresh run would produce. + + If a node was recorded multiple times in the log (e.g., re-runs), the + *latest* record up to `at` wins. + + Args: + source: a `TraceReader`, or a path to a trace file. + at: wall-clock cutoff. None = end of log. + cas: optional ContentCache override (only used when `source` is a + path). + + Returns: + Dict mapping node name to its `ReplayedNode` snapshot. + """ + reader: TraceReader = ( + source if isinstance(source, TraceReader) else TraceReader(source, cas=cas) + ) + + cutoff = float("inf") if at is None else at + state: dict[str, ReplayedNode] = {} + for rec in reader.records_until(cutoff): + value = reader.fetch(rec) + state[rec.name] = ReplayedNode( + name=rec.name, + timestamp=rec.timestamp, + value=value, + effect=rec.effect, + replayable=rec.replayable, + duration_ns=rec.duration_ns, + error=rec.error, + ) + return state + + +# --------------------------------------------------------------------------- +# Convenience: gather all run paths under default_trace_dir() +# --------------------------------------------------------------------------- + + +def list_runs(trace_dir: Path | str | None = None) -> list[Path]: + """List every trace log file (`*.jsonl`) under `trace_dir`.""" + base = Path(trace_dir) if trace_dir is not None else default_trace_dir() + if not base.exists(): + return [] + return sorted(base.rglob("*.jsonl")) + + +__all__ = [ + "ReplayedNode", + "TraceReader", + "TraceRecord", + "TraceWriter", + "default_trace_dir", + "list_runs", + "new_run_id", + "replay", +] diff --git a/tests/python/core/test_construction.py b/tests/python/core/test_construction.py index 765d554..9b47df7 100644 --- a/tests/python/core/test_construction.py +++ b/tests/python/core/test_construction.py @@ -4,15 +4,15 @@ CycleError, DuplicateNodeError, EdgeNotFoundError, - NodeId, NodeNotFoundError, + NodeRef, ) class TestAddNode: def test_add_single_node(self, empty_dag): node = empty_dag.add_node("a") - assert isinstance(node, NodeId) + assert isinstance(node, NodeRef) assert node.name == "a" assert empty_dag.node_count() == 1 @@ -35,7 +35,7 @@ def test_add_multiple_nodes(self, empty_dag): nodes = empty_dag.add_nodes(["a", "b", "c"]) assert len(nodes) == 3 assert empty_dag.node_count() == 3 - assert all(isinstance(n, NodeId) for n in nodes) + assert all(isinstance(n, NodeRef) for n in nodes) def test_add_nodes_with_payloads(self, empty_dag): nodes = empty_dag.add_nodes([("a", 1), ("b", 2)]) diff --git a/tests/python/test_contentcache.py b/tests/python/test_contentcache.py new file mode 100644 index 0000000..beab797 --- /dev/null +++ b/tests/python/test_contentcache.py @@ -0,0 +1,396 @@ +"""Tests for `dagron.contentcache` — cross-process content-addressed cache. + +Different from the in-process `ContentAddressableCache` in +`dagron.execution.content_cache`: this module uses the filesystem as its +index, so independent Python processes share intermediates transparently. +""" + +from __future__ import annotations + +import hashlib +import pickle +import subprocess +import sys +import textwrap +from pathlib import Path + +import pytest + +from dagron import Effect +from dagron.contentcache import ( + ContentCache, + default_cache_dir, + default_hash, + fingerprint_function, + fingerprint_node, + numpy_hash, +) + +# --------------------------------------------------------------------------- +# Hashers +# --------------------------------------------------------------------------- + + +class TestDefaultHash: + def test_deterministic(self): + assert default_hash("hello") == default_hash("hello") + assert default_hash([1, 2, 3]) == default_hash([1, 2, 3]) + + def test_different_values_differ(self): + assert default_hash("hello") != default_hash("world") + assert default_hash([1, 2, 3]) != default_hash([1, 2, 4]) + + def test_returns_32_bytes(self): + assert len(default_hash("anything")) == 32 + + def test_unpickleable_falls_back_to_repr(self): + class _Weird: + __slots__ = () + + def __reduce__(self): + raise TypeError("not pickleable") + + # Must not raise + h = default_hash(_Weird()) + assert len(h) == 32 + + +class TestNumpyHash: + def test_falls_back_for_non_array(self): + # Without numpy installed, behaves like default_hash; with numpy + # but a non-array input, also falls back. + assert numpy_hash("hello") == default_hash("hello") + assert numpy_hash([1, 2, 3]) == default_hash([1, 2, 3]) + + def test_array_uses_tobytes(self): + np = pytest.importorskip("numpy") + a = np.array([1, 2, 3, 4], dtype=np.int32) + b = np.array([1, 2, 3, 4], dtype=np.int32) + c = np.array([1, 2, 3, 5], dtype=np.int32) + d = np.array([1.0, 2.0, 3.0, 4.0], dtype=np.float64) # different dtype + + assert numpy_hash(a) == numpy_hash(b) + assert numpy_hash(a) != numpy_hash(c) + assert numpy_hash(a) != numpy_hash(d) + + +# --------------------------------------------------------------------------- +# Function fingerprinting +# --------------------------------------------------------------------------- + + +class TestFingerprintFunction: + def test_same_function_same_fingerprint(self): + def add(a, b): + return a + b + + assert fingerprint_function(add) == fingerprint_function(add) + + def test_different_function_body_differs(self): + def add(a, b): + return a + b + + def sub(a, b): + return a - b + + assert fingerprint_function(add) != fingerprint_function(sub) + + def test_different_constants_differ(self): + def f1(): + return 42 + + def f2(): + return 43 + + assert fingerprint_function(f1) != fingerprint_function(f2) + + +class TestFingerprintNode: + def test_combines_function_effect_inputs(self): + def f(a): + return a + 1 + + # Different inputs → different fingerprints + fp1 = fingerprint_node(f, Effect.PURE, [b"input-a"]) + fp2 = fingerprint_node(f, Effect.PURE, [b"input-b"]) + assert fp1 != fp2 + + # Different effect tag → different fingerprint + fp3 = fingerprint_node(f, Effect.READ, [b"input-a"]) + assert fp1 != fp3 + + # Same everything → same fingerprint + fp4 = fingerprint_node(f, Effect.PURE, [b"input-a"]) + assert fp1 == fp4 + + +# --------------------------------------------------------------------------- +# ContentCache low-level API +# --------------------------------------------------------------------------- + + +class TestContentCacheLowLevel: + def test_get_miss_returns_false(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + val, hit = cache.get(b"missing-fingerprint" + b"\x00" * 14) # 32-byte + assert val is None + assert hit is False + + def test_put_then_get_returns_value(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + fp = b"\x01" * 32 + cache.put(fp, [1, 2, 3]) + val, hit = cache.get(fp) + assert hit is True + assert val == [1, 2, 3] + + def test_has(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + fp = b"\x02" * 32 + assert not cache.has(fp) + cache.put(fp, "x") + assert cache.has(fp) + + def test_delete(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + fp = b"\x03" * 32 + cache.put(fp, "x") + cache.delete(fp) + assert not cache.has(fp) + + def test_clear(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + cache.put(b"\x04" * 32, "a") + cache.put(b"\x05" * 32, "b") + cache.clear() + assert not cache.has(b"\x04" * 32) + assert not cache.has(b"\x05" * 32) + + def test_corrupted_file_treated_as_miss(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + fp = b"\x06" * 32 + cache.put(fp, "ok") + # Corrupt the on-disk file by overwriting it with garbage. + path = cache._path_for(fp) + path.write_bytes(b"GARBAGE NOT MAGIC") + _, hit = cache.get(fp) + assert hit is False + + def test_path_sharded(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + fp = bytes.fromhex("a1b2c3d4" + "e5" * 28) # 32 bytes + path = cache._path_for(fp) + # Shards: a1/b2/c3d4e5... + assert "a1" in str(path) + assert "b2" in str(path) + + +# --------------------------------------------------------------------------- +# ContentCache.compute_or_cached — high-level API +# --------------------------------------------------------------------------- + + +class TestComputeOrCached: + def test_first_miss_then_hit(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + call_count = [0] + + def f(x: int) -> int: + call_count[0] += 1 + return x * 100 + + v1, hit1 = cache.compute_or_cached(f, args=(7,), effect=Effect.PURE) + v2, hit2 = cache.compute_or_cached(f, args=(7,), effect=Effect.PURE) + assert v1 == 700 + assert v2 == 700 + assert hit1 is False + assert hit2 is True + # f should have been called exactly once (second was a cache hit). + assert call_count[0] == 1 + + def test_different_args_recompute(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + call_count = [0] + + def f(x: int) -> int: + call_count[0] += 1 + return x + + cache.compute_or_cached(f, args=(1,), effect=Effect.PURE) + cache.compute_or_cached(f, args=(2,), effect=Effect.PURE) + cache.compute_or_cached(f, args=(3,), effect=Effect.PURE) + assert call_count[0] == 3 + + def test_kwargs_factor_into_key(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + call_count = [0] + + def f(*, x: int) -> int: + call_count[0] += 1 + return x + + cache.compute_or_cached(f, kwargs={"x": 1}, effect=Effect.PURE) + cache.compute_or_cached(f, kwargs={"x": 1}, effect=Effect.PURE) # hit + cache.compute_or_cached(f, kwargs={"x": 2}, effect=Effect.PURE) # miss + assert call_count[0] == 2 + + def test_uncacheable_effect_skips_cache(self, tmp_path): + cache = ContentCache(cache_dir=tmp_path) + call_count = [0] + + def fetch(url: str) -> str: + call_count[0] += 1 + return url * 2 + + for _ in range(3): + v, hit = cache.compute_or_cached(fetch, args=("x",), effect=Effect.NETWORK) + assert v == "xx" + assert hit is False + # All 3 calls actually invoked fetch. + assert call_count[0] == 3 + + def test_no_effect_defaults_to_caching(self, tmp_path): + # When effect=None, behaves like PURE (cacheable). + cache = ContentCache(cache_dir=tmp_path) + call_count = [0] + + def f(x: int) -> int: + call_count[0] += 1 + return x + + cache.compute_or_cached(f, args=(1,)) + cache.compute_or_cached(f, args=(1,)) + assert call_count[0] == 1 + + +# --------------------------------------------------------------------------- +# Cross-process sharing — the headline claim of Phase 6 +# --------------------------------------------------------------------------- + + +_CHILD_SCRIPT = textwrap.dedent( + """ + import sys, pickle + sys.path.insert(0, {dagron_path!r}) + from dagron import Effect + from dagron.contentcache import ContentCache + + cache = ContentCache(cache_dir={cache_dir!r}) + call_count = [0] + + def slow_fn(x): + call_count[0] += 1 + return x * 1000 + + val, hit = cache.compute_or_cached(slow_fn, args=({arg},), effect=Effect.PURE) + print(pickle.dumps((val, hit, call_count[0])).hex()) + """ +) + + +def _run_child(cache_dir: Path, arg: int) -> tuple[object, bool, int]: + """Run a fresh Python process that uses our ContentCache.""" + # Pass our py_src/ on the child's PYTHONPATH so it imports the same dagron. + dagron_path = str(Path(__file__).parent.parent.parent / "py_src") + code = _CHILD_SCRIPT.format( + dagron_path=dagron_path, + cache_dir=str(cache_dir), + arg=arg, + ) + proc = subprocess.run( + [sys.executable, "-c", code], + capture_output=True, + text=True, + check=False, + timeout=30, + ) + if proc.returncode != 0: + raise RuntimeError(f"child failed: stderr={proc.stderr}") + return pickle.loads(bytes.fromhex(proc.stdout.strip())) + + +class TestCrossProcessSharing: + def test_second_process_hits_cache(self, tmp_path): + # First process: compute and cache. + v1, hit1, calls1 = _run_child(tmp_path, 42) + assert v1 == 42_000 + assert hit1 is False + assert calls1 == 1 + + # Second process (fresh interpreter): should hit the cache. + v2, hit2, calls2 = _run_child(tmp_path, 42) + assert v2 == 42_000 + assert hit2 is True + assert calls2 == 0, "child should not have invoked slow_fn" + + def test_different_inputs_independent_cache_entries(self, tmp_path): + v1, hit1, _ = _run_child(tmp_path, 1) + v2, hit2, _ = _run_child(tmp_path, 2) + v3, hit3, _ = _run_child(tmp_path, 1) + + assert v1 == 1000 + assert v2 == 2000 + assert v3 == 1000 + assert hit1 is False + assert hit2 is False + assert hit3 is True + + +# --------------------------------------------------------------------------- +# default_cache_dir +# --------------------------------------------------------------------------- + + +class TestDefaultCacheDir: + def test_uses_env_override(self, monkeypatch): + monkeypatch.setenv("DAGRON_CACHE_DIR", "/tmp/dagron-test-cache-xyz") + assert default_cache_dir() == Path("/tmp/dagron-test-cache-xyz") + + def test_default_is_xdg_style(self, monkeypatch): + monkeypatch.delenv("DAGRON_CACHE_DIR", raising=False) + d = default_cache_dir() + assert "dagron" in str(d) + assert "cas" in str(d) + + +# --------------------------------------------------------------------------- +# Function source mutation invalidates cache +# --------------------------------------------------------------------------- + + +class TestSourceMutationInvalidates: + def test_two_distinct_functions_have_distinct_keys(self, tmp_path): + # Simulate "user changed the source" by defining two functions + # with different bytecode but same name & arity. + cache = ContentCache(cache_dir=tmp_path) + + def make_v1(): + def f(x): + return x + 1 + + return f + + def make_v2(): + def f(x): + return x + 2 # different body + + return f + + v1, _ = cache.compute_or_cached(make_v1(), args=(10,), effect=Effect.PURE) + v2, hit2 = cache.compute_or_cached(make_v2(), args=(10,), effect=Effect.PURE) + assert v1 == 11 + assert v2 == 12 + assert hit2 is False, "source-mutated function should miss the cache" + + +# --------------------------------------------------------------------------- +# magic-byte sanity +# --------------------------------------------------------------------------- + + +def test_cache_file_starts_with_magic(tmp_path): + cache = ContentCache(cache_dir=tmp_path) + fp = hashlib.blake2b(b"x", digest_size=32).digest() + cache.put(fp, "hello") + on_disk = cache._path_for(fp).read_bytes() + assert on_disk.startswith(b"DAGRON") diff --git a/tests/python/test_effects.py b/tests/python/test_effects.py new file mode 100644 index 0000000..e530840 --- /dev/null +++ b/tests/python/test_effects.py @@ -0,0 +1,357 @@ +"""Tests for Phase 4 — effect-typed nodes. + +Effect tags classify each `@task` by its purity / side-effect class. They +are queryable on the TaskSpec, mirrored onto DAG node metadata, and (when +opted in) gate parallelism in the executor: NONDETERMINISTIC tasks +serialize amongst themselves; PURE/READ/WRITE/NETWORK parallelize freely. +""" + +from __future__ import annotations + +import threading +import time +import warnings +from typing import TYPE_CHECKING + +from dagron import ( + DAG, + DAGExecutor, + Effect, + NodeRef, + effects_of, + flow, + task, +) + +if TYPE_CHECKING: + from collections.abc import Callable + from typing import Any + +# --------------------------------------------------------------------------- +# Effect enum properties +# --------------------------------------------------------------------------- + + +class TestEffectEnum: + def test_default_classes(self): + assert Effect.PURE.value == "pure" + assert Effect.NONDETERMINISTIC.value == "nondeterministic" + + def test_is_cacheable(self): + assert Effect.PURE.is_cacheable + assert Effect.READ.is_cacheable + assert not Effect.WRITE.is_cacheable + assert not Effect.NETWORK.is_cacheable + assert not Effect.NONDETERMINISTIC.is_cacheable + + def test_is_deterministic(self): + assert Effect.PURE.is_deterministic + assert Effect.READ.is_deterministic + assert not Effect.NONDETERMINISTIC.is_deterministic + + def test_is_isolated(self): + assert Effect.NONDETERMINISTIC.is_isolated + assert not Effect.PURE.is_isolated + + +# --------------------------------------------------------------------------- +# @task(effect=...) parameter +# --------------------------------------------------------------------------- + + +class TestTaskEffectParameter: + def test_bare_task_defaults_to_pure(self): + @task + def f() -> int: + return 1 + + assert f._dagron_task.effect == Effect.PURE # type: ignore[attr-defined] + + def test_explicit_effect(self): + @task(effect=Effect.NETWORK) + def fetch_url(url: str) -> str: + return url + + assert fetch_url._dagron_task.effect == Effect.NETWORK # type: ignore[attr-defined] + + def test_each_effect_class(self): + for e in Effect: + + @task(effect=e) + def f(_: Effect = e) -> int: # default arg captures e per closure + return 0 + + assert f._dagron_task.effect == e # type: ignore[attr-defined] + + def test_decorated_function_still_callable(self): + @task(effect=Effect.READ) + def add(a: int, b: int) -> int: + return a + b + + assert add(2, 3) == 5 + + +# --------------------------------------------------------------------------- +# AST scan heuristic +# --------------------------------------------------------------------------- + + +class TestAstScan: + def test_pure_task_with_time_call_warns(self): + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter("always") + + @task + def impure_pure() -> float: + return time.time() + + assert any( + "impure" in str(w.message) and "time.time" in str(w.message) for w in caught + ), [str(w.message) for w in caught] + + def test_pure_task_without_impure_calls_does_not_warn(self): + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter("always") + + @task + def clean(a: int, b: int) -> int: + return a + b + + assert not any("impure" in str(w.message) for w in caught), [ + str(w.message) for w in caught + ] + + def test_nondeterministic_task_does_not_warn_about_time(self): + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter("always") + + @task(effect=Effect.NONDETERMINISTIC) + def now() -> float: + return time.time() + + assert not any("impure" in str(w.message) for w in caught), [ + str(w.message) for w in caught + ] + + def test_pure_task_with_random_warns(self): + import random + + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter("always") + + @task + def roll_dice() -> int: + return random.randint(1, 6) + + assert any("impure" in str(w.message) for w in caught), [ + str(w.message) for w in caught + ] + + +# --------------------------------------------------------------------------- +# Effect → DAG metadata mirroring +# --------------------------------------------------------------------------- + + +class TestDagMetadataMirror: + def test_flow_writes_effect_to_metadata(self): + @task(effect=Effect.READ) + def read_db() -> list[int]: + return [1, 2, 3] + + @task(effect=Effect.NETWORK) + def push_to_api(rows: list[int]) -> str: + return f"sent {len(rows)} rows" + + @flow + def pipeline(): + return push_to_api(read_db()) + + dag = pipeline.dag() + meta_read = dag.get_metadata("read_db") + meta_push = dag.get_metadata("push_to_api") + assert meta_read == {"effect": "read"} + assert meta_push == {"effect": "network"} + + def test_effects_of_helper(self): + @task + def a() -> int: + return 1 + + @task(effect=Effect.WRITE) + def b(x: int) -> None: + return None + + @flow + def pipeline(): + return b(a()) + + eff = effects_of(pipeline.dag()) + assert eff == {"a": Effect.PURE, "b": Effect.WRITE} + + def test_effects_of_untagged_dag_defaults_to_pure(self): + d = DAG() + d.add_node("x") + assert effects_of(d) == {"x": Effect.PURE} + + +# --------------------------------------------------------------------------- +# Executor effect isolation +# --------------------------------------------------------------------------- + + +class TestExecutorIsolation: + def test_two_pure_nodes_run_in_parallel(self): + """When isolation is enforced, PURE tasks should still parallelize. + + Use a concurrency counter (max_active) instead of wall-clock timing + — wall-clock thresholds are flaky on slow CI runners. + """ + + @task + def pure_a() -> None: + return None + + @task + def pure_b() -> None: + return None + + @flow + def pipeline(): + pure_a() + return pure_b() + + dag = pipeline.dag() + + active = 0 + max_active = 0 + lock = threading.Lock() + # Both tasks must be inside the critical section at the same instant + # for max_active to reach 2; the barrier guarantees they overlap. + barrier = threading.Barrier(2, timeout=2.0) + + def make_fn() -> Callable[[], None]: + def fn() -> None: + nonlocal active, max_active + barrier.wait() + with lock: + active += 1 + max_active = max(max_active, active) + time.sleep(0.02) + with lock: + active -= 1 + + return fn + + tasks_dict: dict[str | NodeRef, Callable[[], Any]] = { + "pure_a": make_fn(), + "pure_b": make_fn(), + } + executor = DAGExecutor( + dag, + max_workers=2, + enforce_effect_isolation=True, + ) + result = executor.execute(tasks_dict) + + assert result.succeeded == 2 + assert max_active == 2, ( + f"PURE tasks did not run concurrently (max_active={max_active}); " + "isolation incorrectly serialised non-ND tasks." + ) + + def test_two_nondeterministic_nodes_serialize(self): + """Under isolation, two NONDETERMINISTIC tasks must NOT overlap.""" + # Track concurrent-execution count via a shared counter. + active = 0 + max_active = 0 + lock = threading.Lock() + + def make_nd_fn(): + def fn(): + nonlocal active, max_active + with lock: + active += 1 + max_active = max(max_active, active) + time.sleep(0.05) + with lock: + active -= 1 + return active + + return fn + + @task(effect=Effect.NONDETERMINISTIC) + def nd_a(): + return None + + @task(effect=Effect.NONDETERMINISTIC) + def nd_b(): + return None + + @flow + def pipeline(): + nd_a() + return nd_b() + + dag = pipeline.dag() + nd_tasks: dict[str | NodeRef, Callable[[], Any]] = { + "nd_a": make_nd_fn(), + "nd_b": make_nd_fn(), + } + executor = DAGExecutor( + dag, + max_workers=2, + enforce_effect_isolation=True, + ) + result = executor.execute(nd_tasks) + + assert result.succeeded == 2 + assert max_active == 1, ( + f"NONDETERMINISTIC tasks ran concurrently (max_active={max_active}); " + "isolation lock failed." + ) + + def test_isolation_off_lets_nondeterministic_overlap(self): + """Without isolation, NONDETERMINISTIC tasks can overlap (no enforcement).""" + active = 0 + max_active = 0 + lock = threading.Lock() + + def make_fn(): + def fn(): + nonlocal active, max_active + with lock: + active += 1 + max_active = max(max_active, active) + time.sleep(0.05) + with lock: + active -= 1 + return None + + return fn + + @task(effect=Effect.NONDETERMINISTIC) + def x(): + return None + + @task(effect=Effect.NONDETERMINISTIC) + def y(): + return None + + @flow + def pipeline(): + x() + return y() + + dag = pipeline.dag() + executor = DAGExecutor( + dag, + max_workers=2, + enforce_effect_isolation=False, # opt out + ) + loose_tasks: dict[str | NodeRef, Callable[[], Any]] = { + "x": make_fn(), + "y": make_fn(), + } + executor.execute(loose_tasks) + assert max_active == 2, "without isolation, ND tasks should overlap" diff --git a/tests/python/test_flow.py b/tests/python/test_flow.py new file mode 100644 index 0000000..21dabe7 --- /dev/null +++ b/tests/python/test_flow.py @@ -0,0 +1,351 @@ +"""Tests for the @dagron.flow Pythonic compose API. + +`@flow` lets users describe a DAG by writing a regular Python function +that calls `@task`-decorated functions. The call structure becomes the +edges; no string IDs required. +""" + +from __future__ import annotations + +import pytest + +from dagron import ( + DAG, + Flow, + FlowFuture, + Pipeline, + flow, + task, +) + +# --------------------------------------------------------------------------- +# Tracing — single call returns a FlowFuture +# --------------------------------------------------------------------------- + + +class TestTracing: + def test_task_outside_flow_executes_normally(self): + @task + def double(x: int) -> int: + return x * 2 + + # Calling outside a @flow context runs the function for real. + assert double(5) == 10 + + def test_task_inside_flow_returns_future(self): + @task + def double(x: int) -> int: + return x * 2 + + captured: list[object] = [] + + @flow + def f(): + value = double(5) + captured.append(value) + return value + + result = f.dag() + assert isinstance(result, DAG) + assert len(captured) == 1 + assert isinstance(captured[0], FlowFuture) + assert captured[0].name == "double" + + def test_flow_decorator_returns_flow_object(self): + @flow + def f(): + return None + + assert isinstance(f, Flow) + + +# --------------------------------------------------------------------------- +# DAG construction from call structure +# --------------------------------------------------------------------------- + + +class TestDagBuilding: + def test_linear(self): + @task + def a(): + return 1 + + @task + def b(x): + return x + 1 + + @task + def c(x): + return x * 10 + + @flow + def pipeline(): + return c(b(a())) + + dag = pipeline.dag() + assert dag.node_count() == 3 + assert dag.edges() == [("a", "b"), ("b", "c")] + + def test_diamond(self): + @task + def src(): + return 1 + + @task + def left(x): + return x + 1 + + @task + def right(x): + return x * 2 + + @task + def merge(left_v, right_v): + return left_v + right_v + + @flow + def pipeline(): + s = src() + return merge(left(s), right(s)) + + dag = pipeline.dag() + assert dag.node_count() == 4 + edges = sorted(dag.edges()) + assert edges == [ + ("left", "merge"), + ("right", "merge"), + ("src", "left"), + ("src", "right"), + ] + + def test_repeated_task_gets_unique_names(self): + @task + def fetch(url): + return url + + @flow + def pipeline(): + a = fetch("a") + b = fetch("b") + c = fetch("c") + return [a, b, c] # Returns a list — flow expects FlowFuture or None + + # Returning a list should fail + with pytest.raises(TypeError, match="must return a FlowFuture"): + pipeline.dag() + + def test_repeated_task_each_gets_own_node(self): + @task + def fetch(url): + return url + + @task + def join(*xs): + return list(xs) + + @flow + def pipeline(): + return join(fetch("a"), fetch("b"), fetch("c")) + + dag = pipeline.dag() + names = sorted(n.name for n in dag.nodes()) + assert names == ["fetch", "fetch_1", "fetch_2", "join"] + + def test_literal_args_are_not_dependencies(self): + @task + def add(x, y): + return x + y + + @flow + def pipeline(): + return add(40, 2) + + dag = pipeline.dag() + assert dag.node_count() == 1 + assert dag.edges() == [] + + def test_kwargs_wired_correctly(self): + @task + def src(): + return 7 + + @task + def use(*, value): + return value + + @flow + def pipeline(): + return use(value=src()) + + dag = pipeline.dag() + assert dag.edges() == [("src", "use")] + + +# --------------------------------------------------------------------------- +# Execution +# --------------------------------------------------------------------------- + + +class TestExecution: + def test_run_returns_execution_result(self): + @task + def src(): + return 5 + + @task + def double(x): + return x * 2 + + @flow + def pipeline(): + return double(src()) + + result = pipeline.run() + assert result.succeeded == 2 + assert result["src"].result == 5 + assert result["double"].result == 10 + + def test_calling_flow_runs_it(self): + @task + def hello(): + return "hi" + + @flow + def pipeline(): + return hello() + + # Calling the Flow object is shorthand for run() + result = pipeline() + assert result["hello"].result == "hi" + + def test_diamond_runs_in_correct_order(self): + order: list[str] = [] + + @task + def s(): + order.append("s") + return 1 + + @task + def left(x): + order.append("left") + return x + 10 + + @task + def right(x): + order.append("right") + return x + 100 + + @task + def m(a, b): + order.append("m") + return a + b + + @flow + def pipeline(): + sv = s() + return m(left(sv), right(sv)) + + result = pipeline.run() + assert result["m"].result == 1 + 10 + 1 + 100 # 112 + # s must come before left/right; left/right before m. + assert order[0] == "s" + assert order[-1] == "m" + middle = order[1:-1] + assert "left" in middle + assert "right" in middle + + def test_kwargs_resolved_at_execution(self): + @task + def src(): + return 7 + + @task + def use(*, value): + return value * 3 + + @flow + def pipeline(): + return use(value=src()) + + result = pipeline.run() + assert result["use"].result == 21 + + +# --------------------------------------------------------------------------- +# Error cases +# --------------------------------------------------------------------------- + + +class TestErrors: + def test_returning_non_flow_future_raises(self): + @task + def t(): + return 42 + + @flow + def bad(): + return "not a future" + + with pytest.raises(TypeError, match="must return a FlowFuture"): + bad.dag() + + def test_nested_flow_invocation_raises(self): + @task + def t(): + return 1 + + @flow + def inner(): + return t() + + @flow + def outer(): + inner.dag() # nested invocation + return t() + + with pytest.raises(RuntimeError, match=r"Nested @dagron\.flow"): + outer.dag() + + def test_task_can_be_called_directly_outside_flow(self): + # Sanity check: @task decoration doesn't break direct callability. + @task + def add(x, y): + return x + y + + assert add(2, 3) == 5 + + +# --------------------------------------------------------------------------- +# Pipeline backwards compatibility — same @task works in both +# --------------------------------------------------------------------------- + + +class TestPipelineCompat: + def test_same_task_works_in_pipeline_and_flow(self): + @task + def fetch_users(): + return [{"id": 1}, {"id": 2}] + + @task + def fetch_orders(): + return [{"oid": 1}] + + @task + def merge(fetch_users, fetch_orders): + return {"users": fetch_users, "orders": fetch_orders} + + # Pipeline (param-name wiring) + p_result = Pipeline([fetch_users, fetch_orders, merge]).execute() + assert p_result["merge"].result == { + "users": [{"id": 1}, {"id": 2}], + "orders": [{"oid": 1}], + } + + # @flow (call-structure wiring) — same task functions + @flow + def pipeline(): + return merge(fetch_users(), fetch_orders()) + + f_result = pipeline.run() + assert f_result["merge"].result == p_result["merge"].result diff --git a/tests/python/test_node_ref.py b/tests/python/test_node_ref.py new file mode 100644 index 0000000..8a029f0 --- /dev/null +++ b/tests/python/test_node_ref.py @@ -0,0 +1,318 @@ +"""Tests for the typed NodeRef handle. + +NodeRef is dagron's stable, persistent handle to a node returned by +`add_node`. Every public method that accepts a `str` node name should also +accept a `NodeRef`. This file exercises the cross-cutting NodeRef behavior +that the older string-based test suite doesn't cover. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +import pytest + +from dagron import ( + DAG, + DAGBuilder, + DAGExecutor, + NodeNotFoundError, + NodeRef, + StaleNodeRefError, +) + +if TYPE_CHECKING: + from collections.abc import Callable + from typing import Any + +# --------------------------------------------------------------------------- +# Construction / identity +# --------------------------------------------------------------------------- + + +class TestAddNodeReturnsRef: + def test_returns_node_ref(self): + dag = DAG() + ref = dag.add_node("alpha") + assert isinstance(ref, NodeRef) + assert ref.name == "alpha" + assert isinstance(ref.epoch, int) + + def test_each_node_has_distinct_epoch(self): + dag = DAG() + a = dag.add_node("a") + b = dag.add_node("b") + assert a.epoch != b.epoch + + def test_add_nodes_returns_refs(self): + dag = DAG() + refs = dag.add_nodes(["a", "b", "c"]) + assert all(isinstance(r, NodeRef) for r in refs) + assert [r.name for r in refs] == ["a", "b", "c"] + + def test_node_ref_lookup(self): + dag = DAG() + original = dag.add_node("foo") + looked_up = dag.node_ref("foo") + assert looked_up == original + assert dag.node_ref("missing") is None + + def test_node_ref_equality_and_hash(self): + dag = DAG() + a = dag.add_node("a") + same = dag.node_ref("a") + assert a == same + assert hash(a) == hash(same) + # NodeRef should work as a dict key + bag = {a: "stored"} + assert bag[same] == "stored" + + +# --------------------------------------------------------------------------- +# Backwards-compat: every method that takes str should accept NodeRef +# --------------------------------------------------------------------------- + + +class TestNodeRefAcceptedEverywhere: + @pytest.fixture + def dag(self): + d = DAG() + d.add_node("a") + d.add_node("b") + d.add_node("c") + d.add_node("d") + d.add_edge("a", "b") + d.add_edge("a", "c") + d.add_edge("b", "d") + d.add_edge("c", "d") + return d + + def test_add_edge_accepts_mixed(self, dag): + # Build a fresh DAG to test edge addition explicitly + d = DAG() + a = d.add_node("a") + b = d.add_node("b") + c = d.add_node("c") + # All three combinations + d.add_edge(a, b) # ref, ref + d.add_edge(b, "c") # ref, str + d.add_edge("a", c) # str, ref + assert d.edge_count() == 3 + + def test_add_edges_batch_accepts_refs(self): + d = DAG() + a = d.add_node("a") + b = d.add_node("b") + c = d.add_node("c") + d.add_edges([(a, b), (b, c, 2.5)]) + assert d.edge_count() == 2 + + def test_has_node_accepts_ref(self, dag): + a = dag.node_ref("a") + assert dag.has_node(a) is True + assert dag.has_node("a") is True + + def test_has_edge_accepts_ref(self, dag): + a = dag.node_ref("a") + b = dag.node_ref("b") + assert dag.has_edge(a, b) is True + + def test_predecessors_successors_ancestors_descendants(self, dag): + d = dag.node_ref("d") + b = dag.node_ref("b") + a = dag.node_ref("a") + assert {n.name for n in dag.predecessors(d)} == {"b", "c"} + assert {n.name for n in dag.successors(a)} == {"b", "c"} + assert {n.name for n in dag.ancestors(d)} == {"a", "b", "c"} + assert {n.name for n in dag.descendants(b)} == {"d"} + + def test_in_out_degree_accept_ref(self, dag): + d = dag.node_ref("d") + a = dag.node_ref("a") + assert dag.in_degree(d) == 2 + assert dag.out_degree(a) == 2 + + def test_get_set_payload_accepts_ref(self): + d = DAG() + a = d.add_node("a", payload="hello") + assert d.get_payload(a) == "hello" + d.set_payload(a, "world") + assert d.get_payload(a) == "world" + + def test_get_set_metadata_accepts_ref(self): + d = DAG() + a = d.add_node("a", metadata={"v": 1}) + assert d.get_metadata(a) == {"v": 1} + d.set_metadata(a, {"v": 2}) + assert d.get_metadata(a) == {"v": 2} + + def test_remove_node_accepts_ref(self, dag): + b = dag.node_ref("b") + dag.remove_node(b) + assert not dag.has_node("b") + + def test_remove_edge_accepts_ref(self, dag): + a = dag.node_ref("a") + b = dag.node_ref("b") + dag.remove_edge(a, b) + assert not dag.has_edge("a", "b") + + def test_subgraph_accepts_refs(self, dag): + a = dag.node_ref("a") + b = dag.node_ref("b") + sub = dag.subgraph([a, b]) + assert sub.node_count() == 2 + assert sub.has_edge("a", "b") + + def test_subgraph_by_depth_accepts_ref(self, dag): + a = dag.node_ref("a") + sub = dag.subgraph_by_depth(a, depth=1, direction="forward") + assert sub.node_count() == 3 # a + b + c + + def test_collapse_accepts_refs(self, dag): + b = dag.node_ref("b") + c = dag.node_ref("c") + collapsed = dag.collapse([b, c], "bc") + assert collapsed.has_node("bc") + assert not collapsed.has_node("b") + assert not collapsed.has_node("c") + + def test_paths_accept_refs(self, dag): + a = dag.node_ref("a") + d = dag.node_ref("d") + paths = dag.all_paths(a, d) + assert len(paths) == 2 + sp = dag.shortest_path(a, d) + assert sp is not None + assert sp[0].name == "a" + assert sp[-1].name == "d" + + def test_dominator_tree_accepts_ref(self, dag): + a = dag.node_ref("a") + tree = dag.dominator_tree(a) + assert isinstance(tree, list) + + def test_iter_ancestors_descendants_accept_ref(self, dag): + d = dag.node_ref("d") + a = dag.node_ref("a") + anc = list(dag.iter_ancestors(d)) + desc = list(dag.iter_descendants(a)) + assert {n.name for n in anc} == {"a", "b", "c"} + assert {n.name for n in desc} == {"b", "c", "d"} + + def test_dirty_set_accepts_refs(self, dag): + a = dag.node_ref("a") + dirty = dag.dirty_set([a]) + assert "a" in dirty + assert "d" in dirty + + def test_is_ancestor_accepts_refs(self, dag): + a = dag.node_ref("a") + d = dag.node_ref("d") + assert dag.is_ancestor(a, d) is True + assert dag.is_ancestor(d, a) is False + + +# --------------------------------------------------------------------------- +# Stale-ref detection +# --------------------------------------------------------------------------- + + +class TestStaleNodeRef: + def test_node_ref_survives_unrelated_mutations(self): + d = DAG() + a = d.add_node("a") + d.add_node("b") + d.add_edge("a", "b") + # Add another node, remove an unrelated one — `a` should stay valid. + d.add_node("c") + d.remove_node("b") + assert d.has_node(a) is True + assert d.predecessors(a) == [] # still resolvable + + def test_ref_to_removed_node_raises(self): + d = DAG() + a = d.add_node("a") + d.remove_node("a") + with pytest.raises(NodeNotFoundError): + d.add_edge(a, "missing_target") + + def test_ref_after_name_reuse_is_stale(self): + d = DAG() + a1 = d.add_node("a") + d.remove_node("a") + d.add_node("a") + # a1 points to the OLD `a` (different epoch) + with pytest.raises(StaleNodeRefError): + d.has_edge(a1, a1) + + def test_fresh_ref_from_node_ref_method(self): + d = DAG() + a1 = d.add_node("a") + d.remove_node("a") + d.add_node("a") + # node_ref() returns the live ref + a2 = d.node_ref("a") + assert a2 is not None + assert a1 != a2 + assert d.has_node(a2) is True + + +# --------------------------------------------------------------------------- +# Builder + Executor + ExecutionResult lookup +# --------------------------------------------------------------------------- + + +class TestBuilderAcceptsRefs: + def test_builder_add_edge_accepts_mixed(self): + # Builder is deferred-construction: it doesn't itself produce refs, + # but should accept refs from a separately-built DAG. + helper = DAG() + a = helper.add_node("a") + b = helper.add_node("b") + # NodeRefs from `helper` carry the names; the builder uses the names. + dag = ( + DAGBuilder() + .add_node("a") + .add_node("b") + .add_edge(a, b) # NodeRef passed through + .build() + ) + assert dag.has_edge("a", "b") + + +class TestExecutorAcceptsRefs: + def test_tasks_dict_accepts_node_ref_keys(self): + d = DAG() + a = d.add_node("a") + b = d.add_node("b") + d.add_edge(a, b) + + results: dict[str, int] = {} + + def fn_a(): + results["a"] = 1 + return 42 + + def fn_b(): + results["b"] = 2 + return 99 + + # Mix str and NodeRef keys in tasks dict + tasks: dict[str | NodeRef, Callable[[], Any]] = {a: fn_a, "b": fn_b} + executor = DAGExecutor(d) + result = executor.execute(tasks) + + assert result.succeeded == 2 + assert results == {"a": 1, "b": 2} + + def test_execution_result_getitem_accepts_ref(self): + d = DAG() + a = d.add_node("a") + executor = DAGExecutor(d) + result = executor.execute({a: lambda: "value"}) + # __getitem__ accepts both str and NodeRef + assert result[a].result == "value" + assert result["a"].result == "value" + assert a in result + assert "a" in result diff --git a/tests/python/test_reactive_bench.py b/tests/python/test_reactive_bench.py new file mode 100644 index 0000000..a94f62b --- /dev/null +++ b/tests/python/test_reactive_bench.py @@ -0,0 +1,197 @@ +"""Benchmarks for `dagron.reactive` — narrow recompute paths on large graphs. + +The headline claim for Phase 5 is: in a graph of 10k Computed nodes, mutating +one upstream signal and re-reading a downstream node should recompute only +the affected subgraph (not the whole graph) and finish in well under 1 ms. + +These benchmarks use `pytest-benchmark`. Run with:: + + uv run pytest tests/python/test_reactive_bench.py --benchmark-only +""" + +from __future__ import annotations + +import sys +from typing import Any + +import pytest + +import dagron.reactive as dr + +# Each level in a Computed chain consumes ~5 stack frames during evaluation. +# Bump the limit so 1000-deep chains evaluate without RecursionError. +sys.setrecursionlimit(20_000) + + +# --------------------------------------------------------------------------- +# Topology builders +# --------------------------------------------------------------------------- + + +def _build_linear_chain(depth: int) -> tuple[dr.Signal[int], dr.Computed[int]]: + """root signal → c0 → c1 → ... → c{depth-1} (returned as the tip).""" + root: dr.Signal[int] = dr.signal(0) + prev: dr.Computed[int] | dr.Signal[int] = root + + nodes: list[dr.Computed[int]] = [] + for _ in range(depth): + # Capture prev in default arg to bind by-value, not by closure. + def step(p=prev) -> int: # type: ignore[no-untyped-def] + return p() + 1 + + prev = dr.computed(step) + nodes.append(prev) + + # Return the root signal and the tail computed. + return root, nodes[-1] + + +def _build_wide_diamond_set( + n_branches: int, +) -> tuple[dr.Signal[int], list[dr.Computed[int]]]: + """One root signal feeds N independent Computed branches. + + Mutating root invalidates all N — but recomputing only one branch + should be cheap. + """ + root: dr.Signal[int] = dr.signal(0) + branches: list[dr.Computed[int]] = [] + for i in range(n_branches): + + def branch(i=i) -> int: # type: ignore[no-untyped-def] + return root() + i + + branches.append(dr.computed(branch)) + return root, branches + + +# --------------------------------------------------------------------------- +# Benchmarks — narrow recompute on a 10k-node linear chain +# --------------------------------------------------------------------------- + + +@pytest.mark.benchmark(group="reactive-narrow-recompute") +def test_narrow_recompute_chain_100(benchmark: Any) -> None: + """100-node chain, single mutation, full re-read. + + Includes Python interpreter overhead; useful as a sanity baseline. + """ + root, tip = _build_linear_chain(100) + tip() # initial compute + + counter = [0] + + def cycle() -> int: + counter[0] += 1 + root.set(counter[0]) + return tip() + + result = benchmark(cycle) + assert result == counter[0] + 100 + + +@pytest.mark.benchmark(group="reactive-narrow-recompute") +def test_narrow_recompute_chain_1000(benchmark: Any) -> None: + """1000-node chain — single linear path, expected linear cost. + + Each level adds ~5 Python stack frames; this file bumps + `sys.setrecursionlimit(20_000)` at import time. Real DAGs rarely + chain more than a few dozen deep — this is a stress upper bound. + """ + root, tip = _build_linear_chain(1000) + tip() + + counter = [0] + + def cycle() -> int: + counter[0] += 1 + root.set(counter[0]) + return tip() + + result = benchmark(cycle) + assert result == counter[0] + 1000 + + +@pytest.mark.benchmark(group="reactive-narrow-recompute") +def test_one_branch_in_10k_wide_fanout(benchmark: Any) -> None: + """10k branches off one root. + + Headline scenario: mutating the root invalidates all 10k branches, but + we read just *one* of them. The reactive engine should recompute only + that one — `pytest-benchmark` will report the cost. + """ + root, branches = _build_wide_diamond_set(10_000) + # Initial compute of the one branch we'll keep reading. + target = branches[1234] + target() + + counter = [0] + + def cycle() -> int: + counter[0] += 1 + root.set(counter[0]) + return target() + + result = benchmark(cycle) + assert result == counter[0] + 1234 + + +# --------------------------------------------------------------------------- +# Benchmarks — initial-build cost +# --------------------------------------------------------------------------- + + +@pytest.mark.benchmark(group="reactive-construction") +def test_build_chain_1000(benchmark: Any) -> None: + """Cost of constructing a 1000-node Computed chain (no eval). + + Construction does not recurse — only evaluation does — so a 1000-deep + chain builds fine, only evaluation is bounded by recursion limit. + """ + + def build() -> dr.Computed[int]: + _, tip = _build_linear_chain(1000) + return tip + + benchmark(build) + + +@pytest.mark.benchmark(group="reactive-construction") +def test_build_and_evaluate_chain_1000(benchmark: Any) -> None: + """Cost of constructing AND evaluating a 1000-node chain top-to-bottom.""" + + def build_and_eval() -> int: + _, tip = _build_linear_chain(1000) + return tip() + + result = benchmark(build_and_eval) + assert result == 1000 + + +# --------------------------------------------------------------------------- +# Benchmarks — batched updates +# --------------------------------------------------------------------------- + + +@pytest.mark.benchmark(group="reactive-batching") +def test_batched_100_signal_writes(benchmark: Any) -> None: + """One Computed reads 100 signals; batch 100 sets → one recompute.""" + signals = [dr.signal(0) for _ in range(100)] + + def aggregate() -> int: + return sum(s() for s in signals) + + c = dr.computed(aggregate) + c() # initial + + counter = [0] + + def cycle() -> int: + counter[0] += 1 + with dr.batch(): + for i, s in enumerate(signals): + s.set(counter[0] + i) + return c() + + result = benchmark(cycle) + assert result == sum(counter[0] + i for i in range(100)) diff --git a/tests/python/test_reactive_engine.py b/tests/python/test_reactive_engine.py new file mode 100644 index 0000000..5eb33a1 --- /dev/null +++ b/tests/python/test_reactive_engine.py @@ -0,0 +1,371 @@ +"""Tests for `dagron.reactive` — Signal / Computed / Watcher. + +Different from `tests/python/execution/test_reactive.py` which exercises +the older push-based `ReactiveDAG` over an existing DAG. This file tests +the new auto-tracking primitives. +""" + +from __future__ import annotations + +import gc + +import pytest + +import dagron.reactive as dr + +# --------------------------------------------------------------------------- +# Signal — leaf value mutation +# --------------------------------------------------------------------------- + + +class TestSignal: + def test_initial_value(self): + s = dr.signal(42) + assert s() == 42 + + def test_set_and_read(self): + s = dr.signal(0) + s.set(100) + assert s() == 100 + + def test_set_same_value_is_noop(self): + # Same-value sets should not trigger downstream recomputes. + s = dr.signal(7) + recomputes = [0] + + def f() -> int: + recomputes[0] += 1 + return s() * 2 + + c = dr.computed(f) + c() + assert recomputes[0] == 1 + s.set(7) # same value — no invalidation + c() + assert recomputes[0] == 1 + + def test_peek_does_not_track(self): + # peek() reads the value without registering a dependency. + s = dr.signal(1) + recomputes = [0] + + def f() -> int: + recomputes[0] += 1 + return s.peek() + 100 # peek, no tracking + + c = dr.computed(f) + c() + assert recomputes[0] == 1 + s.set(999) + c() # NOT invalidated — peek didn't register a dep + assert recomputes[0] == 1 + + +# --------------------------------------------------------------------------- +# Computed — lazy memoised derivation +# --------------------------------------------------------------------------- + + +class TestComputed: + def test_basic_derivation(self): + a = dr.signal(2) + b = dr.signal(3) + s = dr.computed(lambda: a() + b()) + assert s() == 5 + + def test_lazy_recompute_on_read(self): + a = dr.signal(1) + recomputes = [0] + + def f() -> int: + recomputes[0] += 1 + return a() * 10 + + c = dr.computed(f) + c() + c() + c() + assert recomputes[0] == 1, "cached after first read" + + def test_invalidation_recomputes_on_next_read(self): + a = dr.signal(1) + recomputes = [0] + + def f() -> int: + recomputes[0] += 1 + return a() * 10 + + c = dr.computed(f) + c() + a.set(2) + # Invalidation alone does NOT recompute; reading does. + assert recomputes[0] == 1 + c() + assert recomputes[0] == 2 + + def test_nested_computed(self): + a = dr.signal(1) + b = dr.computed(lambda: a() + 1) + c = dr.computed(lambda: b() * 2) + assert c() == 4 + a.set(10) + assert c() == 22 + + def test_narrow_recompute_skips_unrelated(self): + # Only the upstream-affected branch should recompute. + a = dr.signal(1) + b = dr.signal(100) + recomputes_a = [0] + recomputes_b = [0] + + def fa() -> int: + recomputes_a[0] += 1 + return a() + 1 + + def fb() -> int: + recomputes_b[0] += 1 + return b() + 1 + + ca = dr.computed(fa) + cb = dr.computed(fb) + + ca() + cb() + assert recomputes_a[0] == 1 + assert recomputes_b[0] == 1 + + a.set(2) + # Read both; only `ca` should have recomputed. + ca() + cb() + assert recomputes_a[0] == 2 + assert recomputes_b[0] == 1, "cb should NOT have recomputed" + + +# --------------------------------------------------------------------------- +# Watcher — side-effecting subscriber +# --------------------------------------------------------------------------- + + +class TestWatcher: + def test_initial_fire(self): + log: list[int] = [] + s = dr.signal(7) + + @dr.watch + def w(): + log.append(s()) + + assert log == [7], "watcher fires once at construction" + + def test_fires_on_dep_change(self): + log: list[int] = [] + s = dr.signal(1) + + @dr.watch + def w(): + log.append(s()) + + s.set(2) + s.set(3) + assert log == [1, 2, 3] + + def test_does_not_fire_on_unrelated_change(self): + log: list[int] = [] + a = dr.signal(1) + b = dr.signal(100) + + @dr.watch + def w(): + log.append(a()) # depends only on a + + log.clear() + b.set(200) + b.set(300) + assert log == [], "watcher should not fire when only b changes" + + def test_dispose_stops_firing(self): + log: list[int] = [] + s = dr.signal(1) + + @dr.watch + def w(): + log.append(s()) + + log.clear() + w.dispose() + s.set(2) + s.set(3) + assert log == [] + + +# --------------------------------------------------------------------------- +# Batching — glitch-free updates +# --------------------------------------------------------------------------- + + +class TestBatching: + def test_diamond_glitch_free(self): + # Classic glitch test: a watcher sees a CONSISTENT view across + # multiple signal mutations. + a = dr.signal(1) + b = dr.signal(2) + s = dr.computed(lambda: a() + b()) + log: list[int] = [] + + @dr.watch + def w(): + log.append(s()) + + log.clear() + with dr.batch(): + a.set(10) + b.set(20) + # In a glitch-free system, w sees s=30, fired exactly once. + assert log == [30], f"expected one fire to 30, got {log}" + + def test_nested_batches_only_fire_outermost(self): + s = dr.signal(0) + log: list[int] = [] + + @dr.watch + def w(): + log.append(s()) + + log.clear() + with dr.batch(): + s.set(1) + with dr.batch(): + s.set(2) + s.set(3) + s.set(4) + # All five sets coalesced into one fire of value 4. + assert log == [4] + + def test_batch_with_no_changes_does_not_fire(self): + s = dr.signal(5) + log: list[int] = [] + + @dr.watch + def w(): + log.append(s()) + + log.clear() + with dr.batch(): + pass + assert log == [] + + +# --------------------------------------------------------------------------- +# Memory: dropped Computed / Watcher don't leak +# --------------------------------------------------------------------------- + + +class TestMemory: + def test_dropped_computed_collected(self): + s = dr.signal(0) + c = dr.computed(lambda: s() * 2) + c() # establishes obs link from s -> c + # observers is a WeakSet, so dropping c should let it be collected. + del c + gc.collect() + # Setting s shouldn't crash even if c is gone. + s.set(99) + + def test_disposed_watcher_does_not_keep_self_alive(self): + s = dr.signal(0) + + @dr.watch + def w(): + s() + + w.dispose() + # No assertion — just that no exceptions fire on subsequent sets. + s.set(1) + + +# --------------------------------------------------------------------------- +# Edge cases +# --------------------------------------------------------------------------- + + +class TestEdgeCases: + def test_self_referential_computed_does_not_recurse_forever(self): + # If a Computed reads itself in its body, we shouldn't add it as + # its own dep / fall into a recompute loop. + s = dr.signal(1) + recomputes = [0] + + def fn() -> int: + recomputes[0] += 1 + return s() + 1 + + c = dr.computed(fn) + # Read c() inside another computed body. + outer = dr.computed(lambda: c() * 10) + assert outer() == 20 + + # Re-read does not re-fire either. + outer() + assert recomputes[0] == 1 + + def test_same_signal_read_twice_in_one_compute_one_dep(self): + # Reading the same signal twice inside a body should count as one dep. + s = dr.signal(7) + recomputes = [0] + + def fn() -> int: + recomputes[0] += 1 + return s() + s() + s() # three reads + + c = dr.computed(fn) + c() + s.set(8) + c() + # Only one extra recompute despite three internal reads. + assert recomputes[0] == 2 + + def test_computed_chain_of_ten_recomputes_all(self): + # Linear chain a -> c0 -> c1 -> ... -> c9. Mutating `a` should + # mark all of them dirty; each gets recomputed once when read. + a = dr.signal(0) + recomputes = [0] + + def make_step(prev): + def f(): + recomputes[0] += 1 + return prev() + 1 + + return dr.computed(f) + + nodes: list[dr.Computed[int]] = [a] # type: ignore[list-item] + for _ in range(10): + nodes.append(make_step(nodes[-1])) + + last = nodes[-1] + assert last() == 10 + + recomputes[0] = 0 + a.set(100) + assert last() == 110 + # Each of the 10 Computed nodes should have recomputed exactly once. + assert recomputes[0] == 10 + + +# --------------------------------------------------------------------------- +# Type alias smoke +# --------------------------------------------------------------------------- + + +def test_module_exports(): + assert hasattr(dr, "Signal") + assert hasattr(dr, "Computed") + assert hasattr(dr, "Watcher") + assert hasattr(dr, "signal") + assert hasattr(dr, "computed") + assert hasattr(dr, "watch") + assert hasattr(dr, "batch") + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/tests/python/test_replay.py b/tests/python/test_replay.py new file mode 100644 index 0000000..90df505 --- /dev/null +++ b/tests/python/test_replay.py @@ -0,0 +1,360 @@ +"""Tests for `dagron.trace` — persistent execution traces with replay. + +The headline claim of Phase 7: every node execution is appended to a +JSONL log; payloads live in the Phase 6 ContentCache; `replay(at=t)` +reconstructs the exact per-node state at any past wall-clock instant. +Pure nodes replay byte-identically; impure nodes are flagged +non-replayable but still expose their logged value. +""" + +from __future__ import annotations + +import time + +import pytest + +from dagron import Effect +from dagron.contentcache import ContentCache +from dagron.trace import ( + ReplayedNode, + TraceReader, + TraceRecord, + TraceWriter, + list_runs, + new_run_id, + replay, +) + +# --------------------------------------------------------------------------- +# TraceRecord — round-trip +# --------------------------------------------------------------------------- + + +class TestTraceRecord: + def test_round_trip(self): + r = TraceRecord( + timestamp=1234567890.5, + name="my_node", + output_fp="abcd1234", + duration_ns=42, + effect="pure", + replayable=True, + metadata={"k": "v"}, + ) + line = r.to_json() + back = TraceRecord.from_json(line) + assert back == r + + def test_failed_record_round_trip(self): + r = TraceRecord( + timestamp=1.0, + name="bad", + output_fp="", # no output for failures + error="boom", + replayable=False, + ) + back = TraceRecord.from_json(r.to_json()) + assert back == r + + +# --------------------------------------------------------------------------- +# TraceWriter +# --------------------------------------------------------------------------- + + +class TestTraceWriter: + def test_writes_jsonl(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + w.record("a", value=1, effect=Effect.PURE) + w.record("b", value=[1, 2], effect=Effect.READ) + + # Each line is a valid JSON object terminated by \n. + lines = log.read_text().strip().split("\n") + assert len(lines) == 2 + for line in lines: + import json + + json.loads(line) + + def test_payload_stored_in_cas(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + payload = {"complex": [1, 2, {"nested": True}]} + with TraceWriter(log, cas=cas) as w: + rec = w.record("x", value=payload, effect=Effect.PURE) + + # Read the payload back via the CAS using the recorded fingerprint. + fp_bytes = bytes.fromhex(rec.output_fp) + val, hit = cas.get(fp_bytes) + assert hit is True + assert val == payload + + def test_failed_record_has_no_payload(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + rec = w.record("oops", error="something went wrong") + assert rec.output_fp == "" + assert rec.error == "something went wrong" + + def test_effect_drives_replayable_flag(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + r_pure = w.record("p", value=1, effect=Effect.PURE) + r_read = w.record("r", value=2, effect=Effect.READ) + r_write = w.record("w", value=3, effect=Effect.WRITE) + r_net = w.record("n", value=4, effect=Effect.NETWORK) + r_nd = w.record("nd", value=5, effect=Effect.NONDETERMINISTIC) + + assert r_pure.replayable is True + assert r_read.replayable is True + assert r_write.replayable is False + assert r_net.replayable is False + assert r_nd.replayable is False + + +# --------------------------------------------------------------------------- +# TraceReader +# --------------------------------------------------------------------------- + + +class TestTraceReader: + def test_reads_records_back(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + t0 = time.time() + with TraceWriter(log, cas=cas) as w: + w.record("a", value=1, effect=Effect.PURE, timestamp=t0) + w.record("b", value=2, effect=Effect.PURE, timestamp=t0 + 1) + + reader = TraceReader(log, cas=cas) + recs = list(reader.records()) + assert [r.name for r in recs] == ["a", "b"] + + def test_records_until(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + t0 = 1000.0 + with TraceWriter(log, cas=cas) as w: + for i in range(5): + w.record(f"n{i}", value=i, effect=Effect.PURE, timestamp=t0 + i) + + reader = TraceReader(log, cas=cas) + names = [r.name for r in reader.records_until(t0 + 2.5)] + assert names == ["n0", "n1", "n2"] + + def test_timeline(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + w.record("first", value=1, effect=Effect.PURE, timestamp=10.0) + w.record("second", value=2, effect=Effect.PURE, timestamp=20.0) + + reader = TraceReader(log, cas=cas) + assert reader.timeline() == [(10.0, "first"), (20.0, "second")] + + def test_empty_or_missing_log(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + reader = TraceReader(tmp_path / "no-such.jsonl", cas=cas) + assert list(reader.records()) == [] + assert reader.timeline() == [] + + def test_skips_malformed_lines(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + # Manually write some good and some bad lines. + with TraceWriter(log, cas=cas) as w: + w.record("ok", value=1, effect=Effect.PURE, timestamp=1.0) + # Corrupt: append garbage in the middle + with log.open("ab") as fh: + fh.write(b"this is not json\n") + fh.write(b'{"missing": "fields"}\n') + + # Append another good line. + with TraceWriter(log, cas=cas) as w: + w.record("ok2", value=2, effect=Effect.PURE, timestamp=2.0) + + reader = TraceReader(log, cas=cas) + names = [r.name for r in reader.records()] + assert names == ["ok", "ok2"] + + +# --------------------------------------------------------------------------- +# replay() — the headline feature +# --------------------------------------------------------------------------- + + +class TestReplay: + def test_replay_at_end(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + t0 = 100.0 + with TraceWriter(log, cas=cas) as w: + w.record("a", value=[1, 2, 3], effect=Effect.PURE, timestamp=t0) + w.record("b", value="hello", effect=Effect.PURE, timestamp=t0 + 1) + + state = replay(log, cas=cas) + assert set(state.keys()) == {"a", "b"} + assert state["a"].value == [1, 2, 3] + assert state["b"].value == "hello" + assert all(s.replayable for s in state.values()) + + def test_replay_at_intermediate_time(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + t0 = 100.0 + with TraceWriter(log, cas=cas) as w: + w.record("a", value=1, effect=Effect.PURE, timestamp=t0) + w.record("b", value=2, effect=Effect.PURE, timestamp=t0 + 10) + w.record("c", value=3, effect=Effect.PURE, timestamp=t0 + 20) + + # Cutoff between b and c. + state = replay(log, at=t0 + 15, cas=cas) + assert set(state.keys()) == {"a", "b"} + + def test_replay_returns_byte_identical_payload(self, tmp_path): + # The headline claim: pure nodes' replayed values are == their original. + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + complex_payload = { + "rows": [{"id": i, "name": f"r{i}"} for i in range(50)], + "meta": {"version": 7, "tags": ["a", "b", "c"]}, + } + + with TraceWriter(log, cas=cas) as w: + w.record("snapshot", value=complex_payload, effect=Effect.PURE) + + state = replay(log, cas=cas) + assert state["snapshot"].value == complex_payload + + def test_impure_node_marked_non_replayable_but_value_present(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + w.record("send", value="ok", effect=Effect.NETWORK) + + state = replay(log, cas=cas) + node = state["send"] + assert node.value == "ok" + assert node.replayable is False + assert node.has_value is True + + def test_failed_node_has_error_no_value(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + w.record("breaks", error="boom") + + state = replay(log, cas=cas) + node = state["breaks"] + assert node.value is None + assert node.error == "boom" + assert node.has_value is False + + def test_re_recorded_node_takes_latest_value(self, tmp_path): + # If the same node was recorded multiple times (e.g., a retry), + # the latest record up to `at` wins. + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + with TraceWriter(log, cas=cas) as w: + w.record("retry", value=1, effect=Effect.PURE, timestamp=1.0) + w.record("retry", value=2, effect=Effect.PURE, timestamp=2.0) + w.record("retry", value=3, effect=Effect.PURE, timestamp=3.0) + + # Cutoff at t=2 → second value wins. + state = replay(log, at=2.0, cas=cas) + assert state["retry"].value == 2 + # Cutoff at end → third value wins. + state = replay(log, cas=cas) + assert state["retry"].value == 3 + + +# --------------------------------------------------------------------------- +# Process restart resilience +# --------------------------------------------------------------------------- + + +class TestPersistence: + def test_log_survives_writer_close_and_reopen(self, tmp_path): + # Simulating "process restart" — write, close, then read from a fresh reader. + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + # Process A: write + w = TraceWriter(log, cas=cas) + w.record("a", value="from process A", effect=Effect.PURE) + w.close() + + # Process B (fresh reader, fresh CAS handle): read + cas2 = ContentCache(cache_dir=tmp_path / "cas") + reader = TraceReader(log, cas=cas2) + state = replay(reader) + assert state["a"].value == "from process A" + + def test_append_across_writer_lifetimes(self, tmp_path): + cas = ContentCache(cache_dir=tmp_path / "cas") + log = tmp_path / "run.jsonl" + + for i in range(3): + with TraceWriter(log, cas=cas) as w: + w.record(f"n{i}", value=i, effect=Effect.PURE, timestamp=float(i)) + + reader = TraceReader(log, cas=cas) + names = [r.name for r in reader.records()] + assert names == ["n0", "n1", "n2"] + + +# --------------------------------------------------------------------------- +# Convenience helpers +# --------------------------------------------------------------------------- + + +class TestConvenience: + def test_new_run_id_is_unique(self): + assert new_run_id() != new_run_id() + + def test_list_runs(self, tmp_path): + # No runs yet + assert list_runs(tmp_path) == [] + + # Create a couple of trace files. + (tmp_path / "alpha.jsonl").write_text("") + (tmp_path / "beta.jsonl").write_text("") + (tmp_path / "ignored.txt").write_text("") + + runs = list_runs(tmp_path) + names = sorted(p.name for p in runs) + assert names == ["alpha.jsonl", "beta.jsonl"] + + +# --------------------------------------------------------------------------- +# ReplayedNode dataclass +# --------------------------------------------------------------------------- + + +def test_replayed_node_has_value_property(): + n = ReplayedNode(name="ok", timestamp=1.0, value=42) + assert n.has_value is True + bad = ReplayedNode(name="x", timestamp=1.0, value=None, error="boom") + assert bad.has_value is False + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/tests/python/test_typing.py b/tests/python/test_typing.py new file mode 100644 index 0000000..295d0ec --- /dev/null +++ b/tests/python/test_typing.py @@ -0,0 +1,196 @@ +"""Static-typing tests for dagron's typed handles and stubgen. + +These tests exercise: + +* `FlowFuture[T]` carrying its wrapped task's return type +* `@task` preserving its function signature +* `NodeResult[T]` and `ExecutionResult.__getitem__` overloads typing + results by `FlowFuture[T]` key +* `dagron.stubgen.generate_stub` emitting a syntactically valid `.pyi` + with `Literal["..."] -> NodeResult[T]` overloads + +Static type assertions use `typing_extensions.assert_type`-style runtime +checks where possible, plus a `subprocess`-driven mypy run for the +`reveal_type` cases mypy can verify. +""" + +from __future__ import annotations + +import ast +import shutil +import subprocess +import textwrap +from typing import TYPE_CHECKING + +import pytest + +if TYPE_CHECKING: + from pathlib import Path + +from dagron import DAG, FlowFuture, flow, task +from dagron.execution._types import ExecutionResult, NodeResult, NodeStatus +from dagron.stubgen import generate_stub + +# --------------------------------------------------------------------------- +# Runtime checks of the typed surface +# --------------------------------------------------------------------------- + + +class TestFlowFutureGeneric: + def test_flow_future_is_subscriptable(self): + # The class is generic, so FlowFuture[int] should not raise. + alias = FlowFuture[int] + assert alias is not None # GenericAlias + + def test_constructor_returns_instance(self): + f: FlowFuture[int] = FlowFuture("x") + assert f.name == "x" + + +class TestTaskSignaturePreservation: + def test_decorated_function_preserves_call_signature(self): + @task + def add(a: int, b: int) -> int: + return a + b + + # Direct call works with original signature + assert add(2, 3) == 5 + + # Inspecting the wrapper still reveals the original signature. + # Use `get_type_hints` because the test file uses + # `from __future__ import annotations`, so raw annotations are strings. + import inspect + from typing import get_type_hints + + sig = inspect.signature(add) + assert list(sig.parameters) == ["a", "b"] + + hints = get_type_hints(add) + assert hints == {"a": int, "b": int, "return": int} + + +class TestExecutionResultLookup: + def test_lookup_by_string(self): + r = ExecutionResult() + r.node_results["a"] = NodeResult(name="a", status=NodeStatus.COMPLETED, result=42) + out = r["a"] + assert out.result == 42 + + def test_lookup_by_flow_future(self): + r = ExecutionResult() + r.node_results["a"] = NodeResult(name="a", status=NodeStatus.COMPLETED, result=42) + f: FlowFuture[int] = FlowFuture("a") + out = r[f] + assert out.result == 42 + + def test_contains_by_flow_future(self): + r = ExecutionResult() + r.node_results["a"] = NodeResult(name="a", status=NodeStatus.COMPLETED, result=42) + f: FlowFuture[int] = FlowFuture("a") + assert f in r + assert "a" in r + assert FlowFuture("missing") not in r + + +# --------------------------------------------------------------------------- +# stubgen +# --------------------------------------------------------------------------- + + +class TestStubgen: + def test_generates_valid_python(self): + @task + def fetch() -> list[int]: + return [1, 2] + + @task + def total(rows: list[int]) -> int: + return sum(rows) + + @flow + def pipeline(): + return total(fetch()) + + dag = pipeline.dag() + stub = generate_stub( + dag, + tasks={"fetch": fetch, "total": total}, + name="MyResult", + ) + # Source must parse as a Python module + ast.parse(stub) + # Sanity check: the literal-keyed overloads are present + assert "Literal['fetch']" in stub + assert "Literal['total']" in stub + assert "NodeResult[list[int]]" in stub or "NodeResult[builtins.list" in stub + assert "NodeResult[int]" in stub + # And a fallback str overload + assert "key: str) -> NodeResult[Any]" in stub + + def test_explicit_hints_override_inference(self): + @task + def opaque(): # no annotation + return None + + dag = DAG() + dag.add_node("opaque") + stub = generate_stub( + dag, + type_hints={"opaque": "list[float]"}, + name="R", + ) + assert "NodeResult[list[float]]" in stub + + def test_empty_dag_produces_valid_class(self): + dag = DAG() + stub = generate_stub(dag, name="Empty") + ast.parse(stub) + # Even an empty DAG should produce the fallback overload + assert "key: str) -> NodeResult[Any]" in stub + + +# --------------------------------------------------------------------------- +# Mypy reveal_type — runs mypy on a synthesized snippet to verify static types. +# +# Skipped when mypy is not available (e.g. minimal CI environment). +# --------------------------------------------------------------------------- + + +@pytest.mark.skipif(shutil.which("mypy") is None, reason="mypy not on PATH") +def test_mypy_reveal_types(tmp_path: Path) -> None: + snippet = textwrap.dedent( + """ + from __future__ import annotations + from dagron import flow, task, FlowFuture + from dagron.execution._types import ExecutionResult, NodeResult + + @task + def fetch() -> list[int]: ... + + @task + def total(rows: list[int]) -> int: ... + + @flow + def pipeline(): + raw = fetch() # FlowFuture[list[int]] (typed as list[int]) + reveal_type(raw) + return total(raw) + + result: ExecutionResult = pipeline() + reveal_type(result[fetch_future]) # noqa: F821 - illustrative + """ + ) + target = tmp_path / "snippet.py" + # Force UTF-8 — Python on Windows defaults to CP1252, but mypy reads the + # file as UTF-8 and chokes on any non-ASCII byte. + target.write_text(snippet, encoding="utf-8") + + proc = subprocess.run( + ["mypy", "--ignore-missing-imports", str(target)], + capture_output=True, + text=True, + check=False, + ) + # We expect mypy to find at least one reveal_type — verify the output + # mentions list[int] (the inferred type of `raw`). + assert "list[int]" in proc.stdout or "Revealed type" in proc.stdout, proc.stdout