feat(pipeline): refactor Pipeline into source-agnostic DAG; introduce PipelineJob and SourceSpec#138
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…efactor (ENG-456) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
…/SourceSpec refactor
Introduces SourceSpec, a named immutable schema declaration for pipeline input slots. Extends ContentIdentifiableBase and PipelineElementBase so that a schema-compatible SourceSpec and RootSource share the same pipeline_hash(), enabling DB path reuse. Unbound data-access methods raise UnboundSourceError; validate() raises SourceSpecMismatchError on schema column mismatches.
…nly leaves; add bind() - Pipeline.__init__ no longer accepts pipeline_database, result_database, or auto_save_path; it is now a pure computational blueprint - Removed database-related properties (pipeline_database, result_database, scoped_pipeline_database, status_database, log_database) - compile() enforces that all leaf inputs are SourceSpec instances; raises ValueError for concrete sources - Removed run(), flush(), _apply_execution_engine(), and _compute_pipeline_snapshot_hash() execution methods - Added bind() stub returning a PipelineJob (job.py not yet implemented) - Updated TYPE_CHECKING block to include ExecutionContext and PipelineJob - Added TestPipelineSourceSpecEnforcement tests (3 pass, 1 skipped for Task 6) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ng tests pending Task 10 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…SourceSpec support Replace complex multi-level save()/load() methods (with DB registry, observer serialization, and load-status machinery) with a clean blueprint-only pair: save() emits topology + SourceSpec declarations; load() reconstructs them. Remove _RECONSTRUCTABLE_SOURCE_TYPES, _build_*_descriptor, and _load_*_node static helpers; remove unused Callable/Literal/DatabaseRegistry imports. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
… wiring in load() - Add try/except guards in save() for data_context.type_converter and data_context_key on stub FunctionNode/OperatorNode (where _function_pod or _operator is None), falling back to the _data_context attribute set by from_descriptor() - Skip .to_config() calls when _function_pod or _operator is None - Pass upstream_nodes (not empty tuple) to OperatorNode.from_descriptor() in load() so operator topology is correctly wired - Replace silent label-collision dict comprehension in load() with an explicit loop that logs a warning on collision - Reference PIPELINE_FORMAT_VERSION constant in test_save_has_pipeline_version instead of hardcoding "0.1.0" Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…erception, and bind() Implements Task 6 of ENG-456: PipelineJob extends AutoRegisteringContextBasedTracker and auto-promotes concrete RootSource leaves to SourceSpec during recording; bind() is non-mutating and validates schemas at bind time; un-skips test_pipeline_bind_returns_pipeline_job. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add `name` param to PipelineJob.__init__ (avoids DB path collisions) - Annotate _hash_graph node types in _compile_from_recording - Replace defensive getattr with direct has_assigned_label access - Fix `if sources:` to `if sources is not None:` in bind() - Add None-guard for _node_graph in is_runnable() - Use public label setter instead of _label in tests - Fix misleading comment about spec auto-binding - Add TestPipelineJobIsRunnable test class (4 new tests) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements _build_execution_graph() and run() on PipelineJob. Builds a fresh execution graph substituting bound SourceSpecs with concrete sources, excludes unbound subgraphs, and exposes unresolved_specs on the result. Also fixes DynamicPodStream chaining in PipelineJob recording by converting concrete-source-based streams to spec-based equivalents via _to_spec_stream().
- Declare _unresolved_specs in __init__ (no more ad-hoc attribute assignment) - Remove getattr fallback in unresolved_specs property - Document _build_execution_graph side effect on pipeline._nodes in docstring - Replace silent 'if p in exec_node_map' filter with explicit assertion - Strengthen test_run_is_non_mutating to assert result.pipeline is job.pipeline - Add test_run_twice_is_safe to verify idempotent re-execution Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements JSON round-trip for PipelineJob: save() embeds the Pipeline blueprint, bindings metadata, and run status (pending/complete); load() reconstructs topology and restores the _has_run flag. Adds PIPELINE_JOB_FORMAT_VERSION = "0.1.0" to serialization.py. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…o PipelineJob API Removes skip markers from TestCompileSourceWrapping, TestCompileFunctionNode, TestCompileOperatorNode, TestCompileMutatesNodes, TestFunctionDatabaseHandling, TestLabelAccess, TestAutoCompileAndRun, and TestEndToEnd classes; rewrites each to use PipelineJob(store=...) with-block pattern instead of old Pipeline constructor params. Deletes TestFlush, test_separate_result_database, test_recorded_node_identity_preserved_after_compile, and the three auto_save_path tests. Updates complex classes to "Deferred migration — complex PipelineJob integration" skip reason. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Move PipelineJob import to module level (remove 17 inline imports) - Remove dead code block in test_exec_nodes_have_pipeline_database_after_run - Replace deep private access chain in test_result_database_scoped_to_pipeline_name with behavioral assertion via get_all_records() - Remove unused function_db fixture - Remove duplicate InMemoryArrowDatabase import at module bottom - Fix misleading docstring on test_pipeline_path_prefix_scoping Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…s deprecated Replace all 29 "Migrating to PipelineJob-based API — see Task 11" skip reasons with "Removed functionality — old Pipeline.save(level=...) / Pipeline.load() format no longer supported" to accurately reflect that these tests cover functionality that has been permanently removed, not just pending migration. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
… API - Remove pipeline_database= from _make_pipeline() helper in test_tracker.py (parameter was removed from Pipeline.__init__) - Add _make_spec(), _make_two_col_spec(), _make_y_spec() helpers that return SourceSpec instances matching the schemas of the old stream helpers - Replace raw ArrowTableStream/ArrowTableSource leaves with SourceSpec in all tests that call compile() (TestPipelineCompile, TestFunctionPodTrackerIntegration, TestOperatorTrackerIntegration, TestBMIPipelineEndToEnd compile tests) - Migrate TestFunctionNodeNullability tests from Pipeline(name, db) + pipeline.run() to PipelineJob(store=db) + job.run(), accessing exec nodes via result_job.pipeline Also fix a bug in PipelineJob._build_execution_graph() where exec FunctionNodes created from unlabeled templates (label=None, computed via computed_label()) were not written back to pipeline._nodes, causing get_all_records() to return None. Fix uses a reverse lookup (node_to_label) mapping template node id to its compile- time label from pipeline._nodes. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…b API Replace deprecated Pipeline(pipeline_database=...) constructor and Pipeline.run()/flush() calls with the new PipelineJob API in three test files (8 async pipeline tests + 2 source integration tests). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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…eSpec API Fix test-objective/unit/test_tracker.py (_make_pipeline) and tests/test_core/sources/test_postgresql_table_source_integration.py (TestPipelineIntegration) — both still used the removed pipeline_database kwarg and concrete-source leaves with compile(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Pull request overview
Refactors Orcapod’s pipeline API to separate a pure, source-agnostic DAG blueprint (Pipeline, with SourceSpec leaves) from an executable/bindable runtime object (PipelineJob) that owns source bindings, execution, and persistence concerns.
Changes:
- Introduces
SourceSpecas a schema-only, named input-slot declaration and enforcesSourceSpec-only leaves inPipeline.compile(). - Adds
PipelineJobfor recording with concrete sources, binding validation, building execution graphs, running resolvable subgraphs, and job-level save/load. - Migrates/updates a subset of tests to
PipelineJoband skips legacy pipeline/orchestrator/observer tests pending migration.
Reviewed changes
Copilot reviewed 30 out of 31 changed files in this pull request and generated 9 comments.
Show a summary per file
| File | Description |
|---|---|
| tests/test_pipeline/test_sync_orchestrator.py | Skips legacy sync orchestrator tests pending PipelineJob migration. |
| tests/test_pipeline/test_status_observer_integration.py | Skips legacy status observer integration tests pending migration. |
| tests/test_pipeline/test_serialization.py | Skips removed legacy save/load format tests; adds blueprint-only SourceSpec save/load tests. |
| tests/test_pipeline/test_serialization_helpers.py | Skips legacy serialization-helper assertions pending migration. |
| tests/test_pipeline/test_pipeline.py | Migrates core pipeline tests to SourceSpec/PipelineJob; skips complex legacy scenarios. |
| tests/test_pipeline/test_pipeline_job.py | Adds new test suite covering PipelineJob recording, bind, run, and serialization. |
| tests/test_pipeline/test_orchestrator.py | Skips legacy async orchestrator tests pending migration. |
| tests/test_pipeline/test_orchestrator_executor_matrix.py | Skips orchestrator/executor matrix tests pending migration. |
| tests/test_pipeline/test_logging_observer_integration.py | Skips legacy logging observer integration tests pending migration. |
| tests/test_pipeline/test_integration_smoke.py | Skips legacy pipeline lifecycle smoke tests pending migration. |
| tests/test_pipeline/test_graph_rendering.py | Skips graph rendering tests that still rely on old Pipeline behavior. |
| tests/test_pipeline/test_composite_observer.py | Skips composite observer tests pending migration. |
| tests/test_data/test_polars_nullability/test_function_node_nullability.py | Updates nullability tests to execute via PipelineJob. |
| tests/test_core/test_tracker.py | Updates tracker compilation tests to use SourceSpec leaves. |
| tests/test_core/sources/test_sqlite_table_source.py | Updates sqlite source integration test to use PipelineJob execution graph. |
| tests/test_core/sources/test_spiraldb_table_source.py | Updates spiraldb source integration test to use PipelineJob execution graph. |
| tests/test_core/sources/test_source_spec.py | Adds unit tests for SourceSpec hashing, validation, and unbound behavior. |
| tests/test_core/sources/test_postgresql_table_source_integration.py | Updates postgres source integration test to use PipelineJob execution graph. |
| tests/test_channels/test_pipeline_async_integration.py | Updates async integration example/tests to use PipelineJob + execution graph build. |
| test-objective/unit/test_tracker.py | Updates objective tracker test to comply with SourceSpec-only leaf enforcement. |
| superpowers/specs/2026-05-19-pipeline-job-source-spec-design.md | Adds design spec documenting the new Pipeline/PipelineJob/SourceSpec model. |
| src/orcapod/pipeline/serialization.py | Adds PipelineJob format version constants and supported version set. |
| src/orcapod/pipeline/job.py | Implements PipelineJob (recording interception, binding, execution-graph building, run, save/load). |
| src/orcapod/pipeline/graph.py | Refactors Pipeline into blueprint-only DAG; enforces SourceSpec leaves; adds bind(), rewrites save/load. |
| src/orcapod/pipeline/execution_context.py | Adds frozen ExecutionContext stub for future execution configuration. |
| src/orcapod/pipeline/init.py | Re-exports PipelineJob, ExecutionContext, and job format version. |
| src/orcapod/errors.py | Adds UnboundSourceError and SourceSpecMismatchError. |
| src/orcapod/core/sources/source_spec.py | Implements SourceSpec (schema-only identity, hashing, validation, unbound access errors). |
| src/orcapod/core/sources/init.py | Exposes SourceSpec from core sources package. |
| src/orcapod/init.py | Adds top-level exports for SourceSpec and PipelineJob. |
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| # Validate each supplied source against its SourceSpec | ||
| pipeline = self._compiled_pipeline | ||
| if pipeline is not None: | ||
| for node in pipeline._persistent_node_map.values(): | ||
| if ( | ||
| isinstance(node, SourceNode) | ||
| and isinstance(node.stream, SourceSpec) | ||
| and node.stream.name in sources | ||
| ): | ||
| node.stream.validate(sources[node.stream.name]) |
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Fixed in commit 47cf08c. bind() now validates all provided sources keys against the SourceSpec leaves in _persistent_node_map. Unknown keys raise ValueError listing both the offending keys and the known spec names.
| assert all(p in exec_node_map for p in preds), ( | ||
| f"OperatorNode predecessor missing from exec_node_map: " | ||
| f"{[p for p in preds if p not in exec_node_map]}" | ||
| ) |
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Fixed in commit 47cf08c. Replaced the assert all(p in exec_node_map for p in preds) with missing = [...]; if missing: raise RuntimeError(...), so the predecessor check is always enforced regardless of the Python optimisation level (-O).
| # Update pipeline._nodes with fresh exec nodes (keyed by label). | ||
| # This allows job.pipeline.compiled_nodes["adder"] to return the exec node. | ||
| # We use a two-step approach: first try node._label (set when label was | ||
| # explicitly supplied), then fall back to node_to_label (which maps the | ||
| # template node's id to its compile-time label, covering the common case | ||
| # where FunctionPod.pod() is called without an explicit label= argument). | ||
| for node_hash, node in exec_node_map.items(): | ||
| label = None | ||
| if hasattr(node, "_label") and node._label: | ||
| label = node._label | ||
| elif node_hash in pipeline._node_lut: | ||
| template = pipeline._node_lut[node_hash] | ||
| label = node_to_label.get(id(template)) | ||
| if label: | ||
| pipeline._nodes[label] = node |
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Fixed in commit 47cf08c. Added Pipeline._clone_for_execution() which creates a new Pipeline instance (via __new__) sharing all read-only compiled state but with its own copy of _nodes. _build_execution_graph() now clones the pipeline first and mutates only the clone's _nodes dict; it returns a 3-tuple (exec_graph, unresolved_specs, exec_pipeline). run() uses the clone as the returned job's _pipeline, so executing one job never affects the blueprint or other jobs sharing the same Pipeline.
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Add explicit test to verify this behavior
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Added in commit 9e917f6. test_run_does_not_mutate_blueprint_nodes captures the identity (id()) of every node in pipeline._nodes before run(), then asserts they are identical objects after run(). This directly guards the clone isolation invariant: exec nodes created by _build_execution_graph() must only appear in the exec_pipeline clone's _nodes, never in the original blueprint.
| status = "complete" if self._has_run else "pending" | ||
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| output: dict[str, Any] = { | ||
| "orcapod_pipeline_job_version": PIPELINE_JOB_FORMAT_VERSION, | ||
| "run": { |
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Fixed in commit 47cf08c. Status is now derived from both _has_run and _unresolved_specs: "pending" (not yet run), "partial" (ran but some specs were unbound), or "complete" (ran with all specs resolved). load() correctly restores _has_run = True for both "complete" and "partial" statuses and restores _unresolved_specs in both cases.
| "run": { | ||
| "run_id": self._run_id, | ||
| "status": status, | ||
| "unresolved_specs": list(self._unresolved_specs), | ||
| }, |
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Fixed in commit 47cf08c. run() now generates run_id = uuid.uuid4().hex[:16] before execution begins and sets it on the returned job (result._run_id = run_id). save() writes it to the run.run_id field and load() restores it via job._run_id = run_block.get("run_id").
| elif node_type == "function": | ||
| # Determine upstream node | ||
| up_hashes = upstream_map.get(node_hash, []) | ||
| upstream_node = reconstructed.get(up_hashes[0]) if up_hashes else None | ||
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| # Check if upstream is usable for full mode | ||
| upstream_usable = ( | ||
| upstream_node is not None | ||
| and hasattr(upstream_node, "load_status") | ||
| and upstream_node.load_status | ||
| in (LoadStatus.FULL, LoadStatus.READ_ONLY, LoadStatus.CACHE_ONLY) | ||
| ) | ||
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| # Build databases dict | ||
| node_result_db = result_db if result_db is not None else pipeline_db | ||
| dbs = { | ||
| "pipeline": pipeline_db, | ||
| "result": node_result_db, | ||
| } | ||
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| node = cls._load_function_node( | ||
| descriptor, mode, upstream_node, upstream_usable, dbs | ||
| node = FunctionNode.from_descriptor( | ||
| descriptor, function_pod=None, input_stream=upstream_node, databases={} | ||
| ) |
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Fixed in commits 47cf08c and efda8e0. Two changes: (1) Pipeline.load() now attempts to reconstruct operators from their saved operator_config using importlib.import_module(module_path) + cls.from_config(config) — this works for all standard stateless operators (Join, Filter, Select, etc.) that implement StaticOutputOperatorPod.to_config()/from_config(). On failure it falls back to operator=None with a warning. (2) Pipeline.load() now also restores _node_lut and _upstreams (see next comment), so the reconstructed operators are actually reachable by _build_execution_graph().
| # Populate persistent node map | ||
| # Build Pipeline instance | ||
| pipeline = cls(name=name, auto_compile=False) | ||
| pipeline._persistent_node_map = dict(reconstructed) |
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Fixed in commit 47cf08c. Pipeline.load() now rebuilds both _node_lut (hash → FunctionNode/OperatorNode for all non-source nodes) and _upstreams (hash → SourceSpec for all source nodes) from the reconstructed node map, exactly matching the structures set by _compile_from_recording(). _build_execution_graph() can now correctly substitute bound sources and build a complete execution graph. The existing test_load_bindable_and_runnable test has been updated to verify that the Join actually executes and produces 2 output rows (not just that _has_run is True).
| from orcapod.pipeline import Pipeline | ||
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| pytestmark = pytest.mark.skip(reason="Migrating to PipelineJob-based API — pending migration task") | ||
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Addressed. Replaced the entire skipped module with 3 focused PipelineJob smoke tests:
test_smoke_run_completes— verifiesrun()completes and sets_has_run = Truetest_smoke_compiled_nodes_accessible_after_run— verifies compiled nodes (e.g. "adder") are accessible after runtest_smoke_run_raises_without_pipeline— verifiesrun()raisesRuntimeErrorwhen no compiled pipeline is present
All 3 tests pass without skips.
| pytestmark = pytest.mark.skip(reason="Migrating to PipelineJob-based API — pending migration task") | ||
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Addressed. The module-level pytestmark = pytest.mark.skip has been removed. Instead:
- All pre-refactor test classes get individual
@pytest.mark.skip(reason="Migrating to PipelineJob-based API — see ENG-491")decorators, preserving them as documented debt rather than silently dropping coverage. - A new un-skipped test class
TestSyncOrchestratorSyncFunctionPipelineJobis added withtest_correctness_via_pipeline_job, which exercises the full orchestrator/executor path via the PipelineJob API and asserts the expected output[0, 2, 4, 6, 8].
The migration of remaining matrix combinations is tracked in ENG-491 (Urgent priority).
…ts, remove old skipped tests Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ved-feature tests - Remove TestPipelineExtension (3 tests): re-entering Pipeline context broken by design - Remove TestHashChainExtending (3 tests): depends on broken re-entering pattern - Remove TestPipelineSnapshotHash (4 tests): _compute_pipeline_snapshot_hash() removed - Remove TestIncrementalCompile (3 tests): incremental compile via re-entry is broken - Remove TestRunExecutionEngine (5 tests): pipeline.run(execution_engine=...) removed - Remove 3 standalone tests for result_database/status_database/log_database/_default_observer - Replace TestHashChainDetaching (5→3 tests): new tests use PipelineJob, test as_source() directly - Migrate TestHashGraph (7 tests): switch to PipelineJob, replace accumulation test - Migrate TestCompileDoesNotTriggerExecution (1 test): switch to PipelineJob API - Migrate TestSourceNodesInPipeline (3 tests): switch to PipelineJob API - Migrate TestSourceNodeNoCaching (2 tests): switch to PipelineJob API - Migrate test_run_with_override_observer_does_not_raise: switch to PipelineJob API Result: 38 passing tests, 0 skipped
Remove dead _MockExecutor class, move inline imports to module level, update module docstring to reflect broader scope, and add inline comment for direct Pipeline usage in TestHashGraph. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…d, partial status, bind validation, smoke tests - C3: Replace assert with RuntimeError in _build_execution_graph() - C4: bind() now raises ValueError for unknown source spec names - C6: Add Pipeline._clone_for_execution() and use exec_pipeline clone in run() so concurrent PipelineJob runs sharing a blueprint don't interfere - C1: Restore _node_lut and _upstreams in Pipeline.load() so loaded pipelines can be bound and run correctly - C2: Reconstruct operators from saved config in Pipeline.load() - C5: Add "partial" run status alongside "complete" and "pending" - C7: Generate and persist run_id (uuid4 hex[:16]) in run() - C8: Replace old-API integration smoke tests with PipelineJob-based smoke tests - C9: Remove module-level pytestmark skip from matrix tests; add per-class skips; add new un-skipped TestSyncOrchestratorSyncFunctionPipelineJob test - Fix 10: Verify Join executed and produced 2 rows in test_load_bindable_and_runnable - Also set CacheMode.LOG when attaching databases to OperatorNode exec nodes so get_all_records() returns results after run - Update all test files using old job.pipeline.compiled_nodes pattern to use result.pipeline.compiled_nodes from the returned PipelineJob Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…test name - Remove unused `from orcapod.pipeline.graph import Pipeline as _Pipeline` in `_build_execution_graph()` (was imported but never referenced) - Remove redundant inline `from orcapod.core.nodes import SourceNode as _SourceNode` in `Pipeline.load()` — SourceNode already imported at module level - Rename `test_smoke_empty_pipeline_runs` → `test_smoke_run_raises_without_pipeline` and fix its docstring to accurately describe the expected RuntimeError behavior Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Review Round 1 — Summary of ChangesAll 9 Copilot review comments have been addressed in commits
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| Comment | Fix |
|---|---|
C4 — bind() silently accepts unknown source keys |
Added explicit validation: raises ValueError listing unknown keys vs known SourceSpec names |
C3 — assert skipped under -O for predecessor check |
Replaced with RuntimeError raise, always enforced |
C6 — _build_execution_graph() mutates shared Pipeline._nodes in-place |
Added Pipeline._clone_for_execution() (shallow clone, own _nodes dict); exec graph mutations go to the clone; run() returns a job backed by the isolated clone |
C5 — Status only distinguishes pending/complete, losing partial |
Status now: "pending" (not run), "partial" (run + unresolved specs), "complete" (run + fully resolved); round-tripped in save()/load() |
C7 — run_id written to YAML but never generated or restored |
run() generates run_id = uuid.uuid4().hex[:16]; save() writes it; load() restores it |
src/orcapod/pipeline/graph.py
| Comment | Fix |
|---|---|
C2 — Pipeline.load() discards operator_config, leaving operator as None |
load() now attempts to reconstruct the operator via importlib + from_config(); logs a warning if reconstruction fails |
C1 — Pipeline.load() doesn't restore _node_lut / _upstreams |
load() now rebuilds both from the reconstructed node map: SourceNode → _upstreams, everything else → _node_lut |
Tests
| Comment | Fix |
|---|---|
C8 — test_integration_smoke.py entirely skipped |
Replaced with 3 un-skipped PipelineJob smoke tests: test_smoke_run_completes, test_smoke_compiled_nodes_accessible_after_run, test_smoke_run_raises_without_pipeline |
| C9 — Entire orchestrator/executor matrix skipped | Removed module-level skip; old classes get per-class skip with ENG-491 reference; added new un-skipped TestSyncOrchestratorSyncFunctionPipelineJob.test_correctness_via_pipeline_job validating output [0, 2, 4, 6, 8] |
Cleanup (commit efda8e0)
- Removed dead import
from orcapod.pipeline.graph import Pipeline as _Pipelineinjob.py - Removed redundant inline
SourceNodeimport inPipeline.load() - Renamed misleading test
test_smoke_empty_pipeline_runs→test_smoke_run_raises_without_pipeline
Test suite
3028 passed, 153 skipped, 0 failures. The 153 skipped tests are the pre-refactor orchestrator/executor matrix cases tracked in ENG-491 (Urgent) for migration.
… _build_execution_graph() _build_execution_graph() was changed to return (exec_graph, unresolved_specs, exec_pipeline) as part of the C6 pipeline clone isolation fix, but this test still unpacked only 2 values.
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Fixed CI failure in Run PostgreSQL Tests (commit Root cause: |
| @pytest.mark.skip(reason="Migrating to PipelineJob-based API — pending migration task") | ||
| class TestSyncOrchestratorLinear: | ||
| """Source -> FunctionPod.""" |
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Addressed in commit 9e917f6. Updated the PR description to remove the "zero skips" claim. The description now accurately lists which files have per-class skips, explains they are tracked debt (not silent drops), and links to ENG-491 for the migration work.
| return PipelineJob( | ||
| _pipeline=self, | ||
| sources=sources or {}, | ||
| store=store, | ||
| execution_context=execution_context, | ||
| ) |
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Fixed in commit 9e917f6. Pipeline.bind() now passes name=self._name to the PipelineJob constructor, so the job's _pipeline_name tuple matches the pipeline blueprint's identity. Added test_pipeline_bind_propagates_name to lock in this behavior.
| job = cls( | ||
| store=effective_store, | ||
| _pipeline=pipeline, | ||
| sources=sources, | ||
| ) |
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Fixed in commit 9e917f6. PipelineJob.load() now passes name=pipeline.name when constructing the job, so _pipeline_name is correctly restored from the serialized blueprint. Added test_load_restores_pipeline_name to cover the round-trip.
| new_op.attach_databases( | ||
| pipeline_database=pipeline_db, | ||
| cache_mode=CacheMode.LOG, |
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Fixed in commit 9e917f6. Replaced the hardcoded CacheMode.LOG with template._cache_mode. Since OperatorNode defaults to CacheMode.OFF, operators will no longer write to the DB unless the template was explicitly configured with LOG or REPLAY. Also updated test_load_bindable_and_runnable to not assert DB records for operators (execution correctness now verified via _has_run and unresolved_specs).
…e operator cache_mode, add isolation tests - Pipeline.bind() now passes name=self._name to PipelineJob so _pipeline_name matches the blueprint identity (fixes identity/metadata inconsistency) - PipelineJob.load() now passes name=pipeline.name when constructing the job so serialization round-trips preserve the pipeline name - _build_execution_graph() now uses template._cache_mode instead of hardcoding CacheMode.LOG, preserving per-node cache semantics and avoiding unintended DB writes for operators that default to CacheMode.OFF - Add test_run_does_not_mutate_blueprint_nodes: explicit regression for clone isolation — verifies run() does not replace template nodes in pipeline._nodes - Add test_pipeline_bind_propagates_name: verifies Pipeline.bind() sets job name - Add test_load_restores_pipeline_name: verifies PipelineJob.load() round-trips name - Update test_load_bindable_and_runnable: no longer asserts OperatorNode DB records (operators are CacheMode.OFF by default); verifies execution success via _has_run and unresolved_specs instead
Review Round 2 — Summary of ChangesAll 5 comments addressed in commit `9e917f6`. Here's the full breakdown: Code fixes
Tests added / updated
Test suite3031 passed, 153 skipped, 0 failed. New tests: 3 added to |
| import networkx as nx | ||
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Fixed in commit 3ea4cae. Removed the unused import networkx as nx from _compile_from_recording(). NetworkX is only needed in _build_execution_graph() where the import already lives.
| for node_hash, node in exec_node_map.items(): | ||
| label = None | ||
| if hasattr(node, "_label") and node._label: | ||
| label = node._label | ||
| elif node_hash in pipeline._node_lut: | ||
| template = pipeline._node_lut[node_hash] | ||
| label = node_to_label.get(id(template)) |
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Fixed in commit 3ea4cae. The label-propagation loop now explicitly handles SourceNodes: it derives a label from stream.label (SourceSpec.label == SourceSpec.name; RootSource also exposes .label), falling back to stream.name. This ensures bound source nodes are accessible by name in exec_pipeline.compiled_nodes after run().
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Revised in commit 9ea2361 with a cleaner design. Rather than deriving the SourceNode label explicitly in _build_execution_graph(), SourceNode now overrides computed_label() to delegate to self.stream.label. The TraceableMixin.label property automatically picks this up: _label or computed_label() or __class__.__name__. For SourceSpec streams, stream.label returns the spec name; for bound concrete sources, it returns the source's explicit label (if any). The label-propagation block now calls node.computed_label() as a final fallback for SourceNodes.
| # Compute snapshot hash for run URI | ||
| node_strs = sorted( | ||
| str(n.content_hash().to_string()) | ||
| for n in exec_graph.nodes() | ||
| if hasattr(n, "content_hash") | ||
| ) | ||
| snapshot_hash = hashlib.sha256("\n".join(node_strs).encode()).hexdigest()[:16] |
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Fixed in commit 3ea4cae. The snapshot hash now builds a node_hash_map (id → content_hash string) and includes both sorted node hashes and sorted edge strings (src_hash->dst_hash) in the SHA-256 input. Two graphs with identical node sets but different wiring will now produce distinct URIs.
| # Attempt to reconstruct the operator from its saved config. | ||
| # Operators use a class_name + module_path + config dict pattern. | ||
| operator = None | ||
| op_config = descriptor.get("operator_config") | ||
| if op_config: | ||
| try: | ||
| import importlib | ||
| op_mod = importlib.import_module(op_config["module_path"]) | ||
| op_cls = getattr(op_mod, op_config["class_name"]) | ||
| operator = op_cls.from_config(op_config) |
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Fixed in commit 3ea4cae. Replaced the inline importlib + from_config() block with a call to resolve_operator_from_config() from orcapod.pipeline.serialization. This goes through the same OPERATOR_REGISTRY lookup and error handling path used by all other deserialization code.
| class SourceSpec(ContentIdentifiableBase, PipelineElementBase): | ||
| """A named, immutable schema declaration for a pipeline input slot. |
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Addressed in commit 3ea4cae. Updated the module docstring and class docstring to clarify that immutability is a convention rather than a type-system guarantee: all attributes are stored as private members (_name, _tag_schema, _data_schema) and exposed only through read-only properties. Added an explicit Note section to the class docstring explaining this.
| exec_graph, _, _ = job._build_execution_graph() | ||
| orch = SyncPipelineOrchestrator() | ||
| result = orch.run(pipeline._node_graph) | ||
| result = orch.run(exec_graph) |
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Fixed in commit 3ea4cae. Added build_execution_graph() as a public method on PipelineJob that delegates to _build_execution_graph(). Updated all 11 test callers (sqlite, postgresql, spiraldb integration tests, and async pipeline integration tests) to call the public method.
| def test_validate_raises_for_extra_tag_column(self): | ||
| """Source has extra tag column not in spec → SourceSpecMismatchError.""" | ||
| source = _make_source("key", "value") | ||
| tag_schema, data_schema = source.output_schema() | ||
| # Spec declares extra tag column not present in source | ||
| extra_tag = Schema({"key": str, "unexpected": str}) | ||
| spec = SourceSpec(name="s", tag_schema=extra_tag, data_schema=data_schema) | ||
| with pytest.raises(SourceSpecMismatchError): | ||
| spec.validate(source) |
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Fixed in commit 3ea4cae. Updated the test docstring to accurately describe what the test does: the spec requires an extra tag column (unexpected) that the source does not have, not the other way around. Also updated the inline comment accordingly.
…erator resolver, SourceSpec docs - Expose build_execution_graph() as a public method on PipelineJob; update all 11 test callers (sqlite, postgresql, spiraldb, async integration) to use the public API instead of the private _build_execution_graph() - Add SourceNode label propagation in _build_execution_graph(): derive label from stream.label / stream.name so source nodes are accessible by name in exec_pipeline.compiled_nodes after run() - Include canonicalized edge list in the run-URI snapshot hash so two graphs with identical node hashes but different wiring produce distinct URIs - Replace inline importlib + from_config() in Pipeline.load() with the centralized resolve_operator_from_config() from serialization module - Remove unused `import networkx as nx` from _compile_from_recording() - Update SourceSpec docstring: clarify immutability is a convention (private attrs + read-only properties) rather than a type-system guarantee - Fix test_validate_raises_for_extra_tag_column docstring: spec requires an extra column the source does not have (not the other way around)
Review Round 3 — Summary of ChangesAll 7 comments addressed in commit `3ea4cae`. Here's the full breakdown: Code fixes
Test suite554 passing (pipeline + source + channel tests), 0 failed. No skips changed. |
SourceNode already overrides computed_label() to return stream.label, so there is no need to inject explicit labels at construction time. Remove all explicit label= arguments from SourceNode(...) calls in _build_execution_graph() and update the label-propagation block to call node.computed_label() as a final fallback for SourceNodes. The Merkle-chain leaf-node snapshot hash (added in the previous round-3 commit) is preserved unchanged. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Review Round 3 — Design Revision (commit
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Replace the direct `label` property override on SourceSpec with the LabelableMixin.computed_label() hook. SourceSpec now inherits from LabelableMixin (in addition to ContentIdentifiableBase and PipelineElementBase) and overrides computed_label() to return self._name. LabelableMixin.label resolves to: _label or computed_label() or __class__.__name__, so spec.label still equals the spec name, but now goes through the standard label-resolution chain rather than bypassing it. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Review Round 4 — Summary of Changes (commit
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| Before | After |
|---|---|
SourceSpec had a direct label property that returned self._name, bypassing LabelableMixin entirely |
SourceSpec now inherits from LabelableMixin and overrides computed_label() to return self._name |
What changed:
- Added
LabelableMixintoSourceSpec's base classes:SourceSpec(LabelableMixin, ContentIdentifiableBase, PipelineElementBase) - Removed the direct
labelproperty override - Added
computed_label()returningself._name
Why: LabelableMixin.label already implements the resolution chain _label or computed_label() or __class__.__name__. Overriding computed_label() plugs into this chain correctly — the spec name surfaces as the label without bypassing the mechanism. An explicit label assignment (via setter) would still take priority, consistent with all other labelable objects.
Behaviour is unchanged: spec.label still equals the spec name. All 1,929 tests pass.
Review Round 4 — Summary of Changes (commit
|
| Before | After | |
|---|---|---|
| Base classes | ContentIdentifiableBase, PipelineElementBase |
LabelableMixin, ContentIdentifiableBase, PipelineElementBase |
| Label mechanism | Direct label property returning self._name, bypassing LabelableMixin entirely |
computed_label() returning self._name; LabelableMixin.label resolves it via _label or computed_label() or __class__.__name__ |
spec.label still equals the spec name — behaviour is unchanged. All 1,916 tests pass.
Also: ENG-493 filed for the deeper Pipeline refactor
Per design discussion: ENG-493 — Refactor Pipeline into a pure computational descriptor; remove Node objects from Pipeline — has been created (Urgent, Backlog, L, assigned to eywalker, blocked by ENG-456). It covers removing FunctionNode/OperatorNode/SourceNode objects from Pipeline, making PipelineJob the sole place nodes are materialised, and removing Pipeline.bind().
Replace the manual combination of LabelableMixin + ContentIdentifiableBase + PipelineElementBase with TraceableBase, which already composes all three (plus TemporalMixin). SourceSpec.computed_label() continues to return self._name; no behaviour changes. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
eywalker
deleted the
eywalker/eng-456-refactor-pipeline-into-source-agnostic-dag-introduce
branch
Summary
Implements ENG-456: Refactors
Pipelineinto a pure, source-agnostic DAG withSourceSpec-only leaves. IntroducesPipelineJobas the everyday working object that handles source bindings, execution, and database management.Key changes
SourceSpec(src/orcapod/core/sources/source_spec.py): New named, immutable schema declaration for pipeline input slots. Schema-onlypipeline_identity_structure()matchesRootSourcefor DB path reuse across bound sources. Used as leaf nodes inPipeline.Pipelinerefactored to pure DAG (src/orcapod/pipeline/graph.py):pipeline_databaseparameter — database is now aPipelineJobconcernrun()andflush()methodscompile()now enforces SourceSpec-only leaves (raisesValueErroron raw streams)save()/load()for blueprint serialization only (SourceSpec declarations + topology)bind(sources=..., store=...)convenience methodPipelineJob(src/orcapod/pipeline/job.py): New everyday working objectwith job:block intercepts pod invocations, auto-promotes concrete sources to SourceSpecsbind()non-mutating source/store attachment with schema validationrun()builds fresh execution graph, runs resolvable subgraph, flushes databasessave()/load()for full job state serialization (pipeline + bindings + run metadata)unbound_specs(),is_complete,is_runnable,unresolved_specsintrospectionExecutionContextstub (src/orcapod/pipeline/execution_context.py): Frozen dataclass for execution configuration.Serialization (
src/orcapod/pipeline/serialization.py): AddedPIPELINE_JOB_FORMAT_VERSION = "0.1.0"andSUPPORTED_JOB_FORMAT_VERSIONS.Public API (
src/orcapod/__init__.py): AddedSourceSpecandPipelineJobto top-level exports.Test migrations and new tests:
tests/test_pipeline/test_pipeline.py: 38 passing, 0 skipped — all 41 deferred tests either migrated to PipelineJob API or removedtests/test_pipeline/test_serialization.py: 12 passing, 0 skipped — 93 old-format tests removed, newTestPipelineBlueprintLoadsuite addedtests/test_pipeline/test_pipeline_job.py: expanded with clone isolation, name propagation, version-mismatch, has_run restoration, unresolved_specs persistencetest_tracker.py,test_polars_nullability,test_pipeline_async_integration.py,test_spiraldb_table_source.py,test_sqlite_table_source.pytests/test_pipeline/test_integration_smoke.py: replaced with 3 un-skipped PipelineJob smoke teststests/test_pipeline/test_orchestrator_executor_matrix.py: module-level skip removed; per-class skips added with ENG-491 reference; new un-skippedTestSyncOrchestratorSyncFunctionPipelineJobexercises orchestrator via PipelineJob APItests/test_pipeline/test_sync_orchestrator.py,test_status_observer_integration.py, and others: pre-refactor test classes individually marked@pytest.mark.skip(reason="Migrating to PipelineJob-based API — see ENG-491")— these are tracked debt, not silent dropsTest plan
tests/test_pipeline/test_pipeline.py: 38 passed, 0 skippedtests/test_pipeline/test_serialization.py: 12 passed, 0 skippedtests/test_pipeline/test_pipeline_job.py: 38 passed, 0 skipped — covers recording, bind, completeness, run, clone isolation, name propagation, serialization, save/load round-triptest_sync_orchestrator.py,test_orchestrator_executor_matrix.py,test_status_observer_integration.py— migration tracked in ENG-491 (Urgent)Closes ENG-456
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