User-reported bug: a variable marked internal in an upstream Context node could not be read by downstream Combine / Derivation modules — they saw it as missing. The previous design treated the PIPELINE_CONTEXT socket as the public boundary and stripped both engine `__` keys AND user-flagged internal vars at socket emit. Correct semantic: internal = "don't render as standalone $var in the final prompt." It does NOT mean "don't propagate through context." Downstream nodes still need to read internal vars to compose them into other vars (e.g. a Combine builds `$subject` from an internal `$style` + a public `$pose`). Only the final PromptAssembler must skip internal vars at template substitution time. Implementation: - engine/context.py: split the filter into two helpers. `strip_engine_internals` drops only `__`-prefixed engine keys — used at the socket boundary. `strip_internals` keeps the original dual-layer behavior (engine + user-flagged) — used at the prompt- render boundary. - wp_nodes/types.py: socket emit now uses `strip_engine_internals`, so user-flagged internal vars cross node boundaries as regular context keys. `__wp_internal_flags__` is added to `_CROSS_NODE_INTERNAL_KEYS` so downstream PromptAssemblers can still know which vars to filter at render. - wp_nodes/assembler_node.py: before resolving variables, merges the cross-node `__wp_internal_flags__` back into a copy of the socket context and calls `strip_internals` — drops both engine keys and user-flagged internal vars. Net effect on the rendered prompt: unchanged from the user's perspective (internal vars still don't appear as standalone $vars). - tests/test_context.py: regression tests for the new helper + propagation behavior.
67 lines
2.6 KiB
Python
67 lines
2.6 KiB
Python
"""Context type definitions and internals helpers.
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The engine uses a flat ``dict[str, Any]`` for context. Keys starting with ``__``
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are reserved for engine internals (seed, trace, internal flags). User-defined
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variables use plain identifier names.
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"""
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from __future__ import annotations
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from typing import Any, TypedDict
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class ContextInternals(TypedDict, total=False):
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"""Documents the reserved internal keys. Not enforced at runtime."""
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__wp_node_seed__: int
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__wp_internal_flags__: dict[str, bool]
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__wp_trace__: list[dict[str, Any]]
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Context = dict[str, Any]
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def strip_internals(ctx: dict[str, Any]) -> dict[str, Any]:
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"""Return a copy of ``ctx`` with engine-only + user-flagged-internal keys removed.
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Use at the *prompt render* boundary (PromptAssembler) — both engine
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bookkeeping AND user-marked-internal vars are filtered:
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1. ``__``-prefixed keys: engine bookkeeping (``__wp_node_seed__``,
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``__wp_trace__``, ``__wp_internal_flags__``, …).
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2. Keys whose name appears with ``True`` in the
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``__wp_internal_flags__`` map: user-marked-internal bindings
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from modules with ``instance.internal == True``. These vars
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drive composition (other modules can read them) but must not
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appear as standalone ``$var`` substitutions in the rendered
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prompt — that's the "internal" UX promise.
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For the *socket* boundary (PIPELINE_CONTEXT carrying state between
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Context nodes), use ``strip_engine_internals`` instead — it drops
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only the ``__``-prefixed engine keys so user-flagged internal vars
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continue to propagate through downstream Context / Combine / etc.
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until they reach a PromptAssembler that filters them at render
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time.
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"""
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flags = ctx.get("__wp_internal_flags__")
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internal_names: set[str] = set()
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if isinstance(flags, dict):
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internal_names = {k for k, v in flags.items() if v}
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return {
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k: v for k, v in ctx.items()
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if not k.startswith("__") and k not in internal_names
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}
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def strip_engine_internals(ctx: dict[str, Any]) -> dict[str, Any]:
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"""Return a copy of ``ctx`` with only the ``__``-prefixed engine keys removed.
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User-flagged internal vars stay in the result — they need to
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propagate across Context-node boundaries so downstream Combine /
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Derivation / Constraint modules can read them. Only the final
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PromptAssembler filters them out at render time (via
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``strip_internals``) so they don't appear as standalone ``$var``
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substitutions in the prompt text.
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"""
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return {k: v for k, v in ctx.items() if not k.startswith("__")}
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