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Graph/context-state-leakage

AntiPattern

State Leakage Across Contexts

context-state-leakage

Selection and serialization context leak across operations because APIs keep or reuse defaults (e.g., sticky Blender selections or implicit DRF serializer behavior), so logic intended for one target is applied to multiple objects or an unexpected data shape.

Node Details

Public graph metadata

Updated6/23/2026

Connections

30 linked nodes

MATCHESSolution

Leverage React 18's `useSyncExternalStore` — ensure consistent state between SSR and CSR. Tension: client-side state doesn't sync properly with the server-rendered state. Outcome: to ensure consistent state between SSR and CSR.

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Treat the selected value as a shared reference (avoid unnecessary cloning/deriving new arrays/objects in selectors). If memory pressure occurs, ensure large datasets are not being copied or accidentally retained (e.g., avoid creating new Float32Array/object instances per render; consider weak caching patterns such as WeakMap only for derived mappings).

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Think about circular dependency and redesign your state architecture

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provided it's called within the same process — workers might be pre-forked. Tension: the cache doesn't work across processes. Outcome: each process got its own cache.

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`sampling_context` is a dict. — For asgi applications which enable asgi sentry integration. Outcome: I would filter it by `path`.

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You can add your own custom context by adding it to the scope. — Add this right after you initialize the SDK, so that it is on the scope used whenever events are generated from your app. Tension: They aren't as useful for bits of information that apply throughout the app. Outcome: You should also set `o.IsGlobalModeEnabled = true` in your options - since this is a client app.

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Beam dependencies in Python.

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if I use a custom middleware class without inheriting from `BaseHTTPMiddleware` — context variables get propagated correctly to the uvicorn access logger. Tension: known starlette `BaseHTTPMiddleware` limitation of not propagating contextvars "upwards". Outcome: the solution would be along the lines of:.

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I also offer an alternative `executor` class which can preserve the contextvar values across threads — when YOUR code is the one making the `loop.run_in_executor` call. Tension: in this example, the code making this is the framework code. Outcome: but that can only be used when YOUR code is the one making the `loop.run_in_executor` call.

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it will be reset as soon as the current HTTP view is done. Tension: unless explicitly saved with something like a `contextvars.copy_context()` call while the task is active. Outcome: the forked context is disposed.

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per-deployment provider EXCLUSIVITY as the operating rule — one provider per vector index population. Tension: mixing spaces silently corrupts similarity. Outcome: an embeddingVersion string stamped onto every node at write time so drift is detectable after the fact.

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fail-LOUD when the local model can't load — the local model can't load. Tension: never silently fall back to a cheaper vectorizer like a hashing trick. Outcome: that swaps the geometry under the index.

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Tension: cannot itself access any Redux context because none is provided to it from higher up the ReactTree. Outcome: so it can access the provided Redux context.

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depending on your latency budget. Outcome: Same idea, but the state lives outside the process boundary.

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Use useContext(LevelContext) in the consumer as shown; only use LevelContext.Provider where you need to define the value for child components. Prefer the React 19 context-as-a-provider patterns when available.

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Another way is by using `React context` — If you can't modify your `LegacyComponent`, then you need another way of passing data from parent to child. Tension: props is one way for doing this. Another way is by using `React context`. Outcome: const DataContext = React.createContext().

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Take a look at Blaze Persistence entity view. Tension: that approach will lead to some complexity and cause errors.

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consider a ComponentStorage model like this — If you need to keep your data consistent. Tension: This will guarantee your vectors always have the same size. Outcome: This will guarantee your vectors always have the same size.

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Use a pointer or existing non-owning pointer wrapper to represent a non-rebinding selection

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I think it is better to use a custom context manager — if you need to isolate test methods from each other. Tension: you need to isolate test methods from each other. Outcome: here is what I am using.

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add a **`:Context` supertype label** alongside the specific label at MERGE time — A typescript Language node becomes `:Language:Context`, a drizzle-orm Package becomes `:Package:Context`, etc. Tension: MATCH (n) WHERE n:Language OR n:Package OR n:OperatingSystem OR n:Paradigm OR n:DataStructure. Outcome: MATCH (n:Context).

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Don't build per-client adapters. — client capabilities change with updates. Tension: They become a maintenance nightmare — every new feature needs N implementations. Outcome: one delivery function that degrades.

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capability detection → graceful fallback → DB queue for stateless clients — support all of these. Tension: There's no single mechanism that works everywhere. Outcome: capability negotiation is the only viable pattern.

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after each allocation that may trigger GC. Tension: Do not cache interior pointers (params) across GC-unsafe allocation calls. Outcome: Apply same fix pattern to sampled_data_continue.

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Serialize objects in selection space. Tension: world space, which breaks when pasting at a different position or rotation.

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Three combined techniques, each necessary but not sufficient alone:. Tension: Without this, APOC has no edges to traverse from a Context seed. Context nodes have to be reachable. Outcome: Together: Context nodes are reachable (#2 allows expansion to them), they're terminal (#3 stops expansion through them), and any residual through-traversal attenuates fast (#1).

MATCHESSolution

if the target uses different dimensions (384→1536) — insert with NULL embeddings and backfill later. Tension: Semantic search (L3) works for new entries that get auto-embedded on write. Outcome: Keyword/temporal recall layers (L1/L2) work without embeddings.

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Also enable session maintenance to prune old sessions — openclaw.json. Tension: context to grow unbounded.

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Always deselect everything before activating and entering edit mode on a new asset. Tension: The same hazard applies to `object.shade_flat()`, `object.transform_apply`, and any operator that internally walks `context.selected_objects`. Outcome: After adding the deselect step to the asset-build template, no further cross-asset UV corruption observed across dozens of subsequent prop builds in the same session.

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Tension: Every save is therefore automatically forward-compatible. Outcome: once an old save is loaded once and re-saved, it has the new shape.

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