Feature/implement built in wrappers that simplifies data source configuration (#7)

* feat: implement multi-layer cache support with LayeredWindowCache and WindowCacheDataSourceAdapter;
refactor: improve async delay handling and exception messages in data fetching methods

* docs: README file has been updated to include validation for layered cache types;
feat: validation method for layered cache compilation on WASM has been added

* docs: update comments for clarity and consistency in IDataSource and LayeredWindowCache;
style: improve formatting in StrongConsistencyModeTests for better readability

* Update tests/SlidingWindowCache.Unit.Tests/Public/LayeredWindowCacheTests.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* feat: implement ReadOnlyMemoryEnumerable for zero-allocation enumeration of ReadOnlyMemory data;
refactor: update WindowCacheDataSourceAdapter to utilize ReadOnlyMemoryEnumerable for lazy data access;
fix: add null check for domain parameter in LayeredWindowCacheBuilder;
test: add unit tests for LayeredWindowCacheBuilder and WindowCacheDataSourceAdapter

* refactor: update data source adapter to use ReadOnlyMemoryEnumerable for improved memory efficiency;
docs: enhance documentation for ReadOnlyMemoryEnumerable and WindowCacheDataSourceAdapter

---------

Co-authored-by: Mykyta Zotov <mykyta.zotov@ihsmarkit.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

Author: 3 people

README.md

@@ -351,6 +351,58 @@ This is a thin composition of `GetDataAsync` followed by `WaitForIdleAsync`. The
 
 `WaitForIdleAsync()` provides race-free synchronization with background operations for tests. Uses "was idle at some point" semantics — does not guarantee still idle after completion. See `docs/invariants.md` (Activity tracking invariants).
 
+## Multi-Layer Cache
+
+For workloads with high-latency data sources, you can compose multiple `WindowCache` instances into a layered stack. Each layer uses the layer below it as its data source, allowing you to trade memory for reduced data-source I/O.
+
+```csharp
+await using var cache = LayeredWindowCacheBuilder<int, byte[], IntegerFixedStepDomain>
+    .Create(realDataSource, domain)
+    .AddLayer(new WindowCacheOptions(        // L2: deep background cache
+        leftCacheSize: 10.0,
+        rightCacheSize: 10.0,
+        readMode: UserCacheReadMode.CopyOnRead,
+        leftThreshold: 0.3,
+        rightThreshold: 0.3))
+    .AddLayer(new WindowCacheOptions(        // L1: user-facing cache
+        leftCacheSize: 0.5,
+        rightCacheSize: 0.5,
+        readMode: UserCacheReadMode.Snapshot))
+    .Build();
+
+var result = await cache.GetDataAsync(range, ct);
+```
+
+`LayeredWindowCache` implements `IWindowCache` and is `IAsyncDisposable` — it owns and disposes all layers when you dispose it.
+
+**Recommended layer configuration pattern:**
+- **Inner layers** (closest to the data source): `CopyOnRead`, large buffer sizes (5–10×), handles the heavy prefetching
+- **Outer (user-facing) layer**: `Snapshot`, small buffer sizes (0.3–1.0×), zero-allocation reads
+
+> **Important — buffer ratio requirement:** Inner layer buffers must be **substantially** larger
+> than outer layer buffers, not merely slightly larger. When the outer layer rebalances, it
+> fetches missing ranges from the inner layer via `GetDataAsync`. Each fetch publishes a
+> rebalance intent on the inner layer. If the inner layer's `NoRebalanceRange` is not wide
+> enough to contain the outer layer's full `DesiredCacheRange`, the inner layer will also
+> rebalance — and re-center toward only one side of the outer layer's gap, leaving it poorly
+> positioned for the next rebalance. With undersized inner buffers this becomes a continuous
+> cycle (cascading rebalance thrashing). Use a 5–10× ratio and `leftThreshold`/`rightThreshold`
+> of 0.2–0.3 on inner layers to ensure the inner layer's stability zone absorbs the outer
+> layer's rebalance fetches. See `docs/architecture.md` (Cascading Rebalance Behavior) and
+> `docs/scenarios.md` (Scenarios L6 and L7) for the full explanation.
+
+**Three-layer example:**
+```csharp
+await using var cache = LayeredWindowCacheBuilder<int, byte[], IntegerFixedStepDomain>
+    .Create(realDataSource, domain)
+    .AddLayer(l3Options)   // L3: 10× CopyOnRead — network/disk absorber
+    .AddLayer(l2Options)   // L2: 2× CopyOnRead  — mid-level buffer
+    .AddLayer(l1Options)   // L1: 0.5× Snapshot  — user-facing
+    .Build();
+```
+
+For detailed guidance see `docs/storage-strategies.md`.
+
 ## License
 
 MIT

docs/architecture.md

@@ -316,6 +316,160 @@ Disposal respects the single-writer architecture:
 
 ---
 
+## Multi-Layer Caches
+
+### Overview
+
+Multiple `WindowCache` instances can be stacked into a cache pipeline where each layer's
+`IDataSource` is the layer below it. This is built into the library via three public types:
+
+- **`WindowCacheDataSourceAdapter`** — adapts any `IWindowCache` as an `IDataSource` so it can
+  serve as a backing store for an outer `WindowCache`.
+- **`LayeredWindowCacheBuilder`** — fluent builder that wires the layers together and returns a
+  `LayeredWindowCache` that owns and disposes all of them.
+- **`LayeredWindowCache`** — thin `IWindowCache` wrapper that delegates `GetDataAsync` to the
+  outermost layer, awaits all layers sequentially (outermost-to-innermost) on `WaitForIdleAsync`,
+  and disposes all layers outermost-first on disposal.
+
+### Architectural Properties
+
+**Each layer is an independent `WindowCache`.**
+Every layer obeys the full single-writer architecture, decision-driven execution, and smart
+eventual consistency model described in this document. There is no shared state between layers.
+
+**Data flows inward on miss, outward on return.**
+When the outermost layer does not have data in its window, it calls the adapter's `FetchAsync`,
+which calls `GetDataAsync` on the next inner layer. This cascades inward until the real data
+source is reached. Each layer then caches the data it fetched and returns it up the chain.
+
+**Full-stack convergence via `WaitForIdleAsync`.**
+`WaitForIdleAsync` on `LayeredWindowCache` awaits all layers sequentially, outermost to innermost.
+The outermost layer must be awaited first, because its rebalance drives fetch requests (via the
+adapter) into inner layers — only once the outer layer is idle can inner layers be known to have
+received all pending work. This guarantees that calling `GetDataAndWaitForIdleAsync` on a
+`LayeredWindowCache` waits for the entire cache stack to converge, not just the user-facing layer.
+Each inner layer independently manages its own idle state via `AsyncActivityCounter`.
+
+**Consistent model — not strong consistency between layers.**
+The adapter uses `GetDataAsync` (eventual consistency), not `GetDataAndWaitForIdleAsync`. Inner
+layers are not forced to converge before serving the outer layer. Each layer serves correct data
+immediately; prefetch optimization propagates asynchronously at each layer independently.
+
+**No new concurrency model.** A layered cache is not a multi-consumer scenario. All user
+requests flow through the single outermost layer, which remains the sole logical consumer of the
+next inner layer (via the adapter). The single-consumer model holds at every layer boundary.
+
+**Disposal order.** `LayeredWindowCache.DisposeAsync` disposes layers outermost-first:
+the user-facing layer is stopped first (no new requests flow into inner layers), then each inner
+layer is disposed in turn. This mirrors the single-writer disposal sequence at each layer.
+
+### Recommended Layer Configuration
+
+| Layer                                       | `UserCacheReadMode` | Buffer size | Purpose                                |
+|---------------------------------------------|---------------------|-------------|----------------------------------------|
+| Innermost (deepest, closest to data source) | `CopyOnRead`        | 5–10×       | Wide prefetch window; absorbs I/O cost |
+| Intermediate (optional)                     | `CopyOnRead`        | 1–3×        | Narrows window toward working set      |
+| Outermost (user-facing)                     | `Snapshot`          | 0.3–1.0×    | Zero-allocation reads; minimal memory  |
+
+Inner layers with `CopyOnRead` make cache writes cheap (growable list, no copy on write) while
+outer `Snapshot` layers make reads cheap (single contiguous array, zero per-read allocation).
+
+### Cascading Rebalance Behavior
+
+This is the most important configuration concern in a layered cache setup.
+
+#### Mechanism
+
+When L1 rebalances, its `CacheDataExtensionService` computes missing ranges
+(`DesiredCacheRange \ AssembledRangeData`) and calls the batch `FetchAsync(IEnumerable<Range>, ct)`
+on the `WindowCacheDataSourceAdapter`. Because the adapter only implements the single-range
+`FetchAsync` overload, the default `IDataSource` interface implementation dispatches one
+parallel call per missing range via `Task.WhenAll`.
+
+Each call reaches L2's `GetDataAsync`, which:
+1. Serves the data immediately (from L2's cache or by fetching from L2's own data source)
+2. **Publishes a rebalance intent on L2** with that individual range
+
+When L1's `DesiredCacheRange` extends beyond L2's current window on both sides, L1's rebalance
+produces two gap ranges (left and right). Both `GetDataAsync` calls on L2 happen in parallel.
+L2's intent loop processes whichever intent it sees last ("latest wins"), and if that range
+falls outside L2's `NoRebalanceRange`, L2 schedules its own background rebalance.
+
+This is a **cascading rebalance**: L1's rebalance triggers L2's rebalance. Under sequential
+access with correct configuration this should be rare. Under misconfiguration it becomes a
+continuous cycle — every L1 rebalance triggers an L2 rebalance, which re-centers L2 toward
+just one gap side, leaving L2 poorly positioned for L1's next rebalance.
+
+#### Natural Mitigations Already in Place
+
+The system provides several natural defences against cascading rebalances, even before
+configuration is considered:
+
+- **"Latest wins" semantics**: When two parallel `GetDataAsync` calls publish intents on L2,
+  the intent loop processes only the surviving (latest) intent. At most one L2 rebalance is
+  triggered per L1 rebalance burst, regardless of how many gap ranges L1 fetched.
+- **Debounce delay**: L2's debounce delay further coalesces rapid sequential intent publications.
+  Parallel intents from a single L1 rebalance will typically be absorbed into one debounce window.
+- **Decision engine work avoidance**: If the surviving intent range falls within L2's
+  `NoRebalanceRange`, L2's Decision Engine rejects rebalance at Stage 1 (fast path). No L2
+  rebalance is triggered at all. This is the **desired steady-state** under correct configuration.
+
+#### Configuration Requirements
+
+The natural mitigations are only effective when L2's buffer is substantially larger than L1's.
+The goal is that L1's full `DesiredCacheRange` fits comfortably within L2's `NoRebalanceRange`
+during normal sequential access — making Stage 1 rejection the norm, not the exception.
+
+**Buffer ratio rule of thumb:**
+
+| Layer          | `leftCacheSize` / `rightCacheSize` | `leftThreshold` / `rightThreshold`         |
+|----------------|------------------------------------|--------------------------------------------|
+| L1 (outermost) | 0.3–1.0×                           | 0.1–0.2 (can be tight — L2 absorbs misses) |
+| L2 (inner)     | 5–10× L1's buffer                  | 0.2–0.3 (wider stability zone)             |
+| L3+ (deeper)   | 3–5× the layer above               | 0.2–0.3                                    |
+
+With these ratios, L1's `DesiredCacheRange` (which expands L1's buffer around the request)
+typically falls well within L2's `NoRebalanceRange` (which is L2's buffer shrunk by its
+thresholds). L2's Decision Engine skips rebalance at Stage 1, and no cascading occurs.
+
+**Why the ratio matters more than the absolute size:**
+
+Suppose L1 has `leftCacheSize=1.0, rightCacheSize=1.0` and `requestedRange` has length 100.
+L1's `DesiredCacheRange` will be approximately `[request - 100, request + 100]` (length 300).
+For L2's Stage 1 to reject the rebalance, L2's `NoRebalanceRange` must contain that
+`[request - 100, request + 100]` interval. L2's `NoRebalanceRange` is derived from
+`CurrentCacheRange` by applying L2's thresholds inward. So L2 needs a `CurrentCacheRange`
+substantially larger than L1's `DesiredCacheRange`.
+
+#### Anti-Pattern: Buffers Too Close in Size
+
+**What goes wrong when L2's buffer is similar to L1's:**
+
+1. User scrolls → L1 rebalances, extending to `[50, 300]`
+2. L1 fetches left gap `[50, 100)` and right gap `(250, 300]` from L2 in parallel
+3. Both ranges fall outside L2's `NoRebalanceRange` (L2's buffer isn't large enough to cover them)
+4. L2 re-centers toward the last-processed gap — say, `(250, 300]`
+5. L2's `CurrentCacheRange` is now `[200, 380]`
+6. User scrolls again → L1 rebalances to `[120, 370]`
+7. Left gap `[120, 200)` falls outside L2's window — L2 must fetch from its own data source
+8. L2 re-centers again → oscillation
+
+**Symptoms:** `l2.RebalanceExecutionCompleted` count approaches `l1.RebalanceExecutionCompleted`.
+The inner layer provides no meaningful buffering benefit. Data source I/O per user request is
+not reduced compared to a single-layer cache.
+
+**Resolution:** Increase L2's `leftCacheSize` and `rightCacheSize` to 5–10× L1's values, and
+set L2's `leftThreshold` / `rightThreshold` to 0.2–0.3.
+
+### See Also
+
+- `README.md` — Multi-Layer Cache usage examples and configuration warning
+- `docs/scenarios.md` — Scenarios L6 (cascading rebalance mechanics) and L7 (anti-pattern)
+- `docs/storage-strategies.md` — Storage strategy trade-offs for layered configs
+- `docs/components/public-api.md` — API reference for the three new public types
+
+---
+
 ## Invariants
 
 This document explains the model; the formal guarantees live in `docs/invariants.md`.

docs/components/overview.md

@@ -18,6 +18,7 @@ The system is easier to reason about when components are grouped by:
 
 - Public facade: `WindowCache<TRange, TData, TDomain>`
 - Public extensions: `WindowCacheExtensions` — opt-in strong consistency mode (`GetDataAndWaitForIdleAsync`)
+- Multi-layer support: `WindowCacheDataSourceAdapter`, `LayeredWindowCacheBuilder`, `LayeredWindowCache`
 - User Path: assembles requested data and publishes intent
 - Intent loop: observes latest intent and runs analytical validation
 - Execution: performs debounced, cancellable rebalance work and mutates cache state
@@ -54,6 +55,34 @@ The system is easier to reason about when components are grouped by:
     ├── 🟦 RebalanceExecutor<TRange, TData, TDomain>
     └── 🟦 CacheDataExtensionService<TRange, TData, TDomain>
         └── uses → 🟧 IDataSource<TRange, TData> (user-provided)
+
+──────────────────────────── Multi-Layer Support ────────────────────────────
+
+🟦 LayeredWindowCacheBuilder<TRange, TData, TDomain>       [Fluent Builder]
+│  Static Create(dataSource, domain) → builder
+│  AddLayer(options, diagnostics?) → builder (fluent chain)
+│  Build() → LayeredWindowCache
+│
+│  internally wires:
+│    IDataSource  →  WindowCache  →  WindowCacheDataSourceAdapter
+│                                          │
+│                                          ▼
+│                                    WindowCache  →  WindowCacheDataSourceAdapter  → ...
+│                                          │
+│                                          ▼  (outermost)
+└─────────────────────────────────►  WindowCache
+                                         (user-facing layer, index = LayerCount-1)
+
+🟦 LayeredWindowCache<TRange, TData, TDomain>              [IWindowCache wrapper]
+│  LayerCount: int
+│  GetDataAsync()      → delegates to outermost WindowCache
+│  WaitForIdleAsync()  → awaits all layers sequentially, outermost to innermost
+│  DisposeAsync()      → disposes all layers outermost-first
+
+🟦 WindowCacheDataSourceAdapter<TRange, TData, TDomain>    [IDataSource adapter]
+│  Wraps IWindowCache as IDataSource
+│  FetchAsync() → calls inner cache's GetDataAsync()
+│                 wraps ReadOnlyMemory<TData> in ReadOnlyMemoryEnumerable<TData> for RangeChunk (avoids temp TData[] alloc)
 ```
 
 **Component Type Legend:**

docs/components/public-api.md

@@ -145,7 +145,55 @@ Composes `GetDataAsync` + `WaitForIdleAsync` into a single call. Returns the sam
 
 **See**: `README.md` (Strong Consistency Mode section) and `docs/architecture.md` for broader context.
 
-## See Also
+## Multi-Layer Cache
+
+Three classes support building layered cache stacks where each layer's data source is the layer below it:
+
+### WindowCacheDataSourceAdapter\<TRange, TData, TDomain\>
+
+**File**: `src/SlidingWindowCache/Public/WindowCacheDataSourceAdapter.cs`
+
+**Type**: `sealed class` implementing `IDataSource<TRange, TData>`
+
+Wraps an `IWindowCache` as an `IDataSource`, allowing any `WindowCache` to act as the data source for an outer `WindowCache`. Data is retrieved using eventual consistency (`GetDataAsync`).
+
+- Wraps `ReadOnlyMemory<TData>` (returned by `IWindowCache.GetDataAsync`) in a `ReadOnlyMemoryEnumerable<TData>` to satisfy the `IEnumerable<TData>` contract of `IDataSource.FetchAsync`. This avoids allocating a temporary `TData[]` copy — the wrapper holds only a reference to the existing backing array via `ReadOnlyMemory<TData>`, and the data is enumerated lazily in a single pass during the outer cache's rematerialization.
+- Does **not** own the wrapped cache; the caller is responsible for disposing it.
+
+### LayeredWindowCache\<TRange, TData, TDomain\>
+
+**File**: `src/SlidingWindowCache/Public/LayeredWindowCache.cs`
+
+**Type**: `sealed class` implementing `IWindowCache<TRange, TData, TDomain>` and `IAsyncDisposable`
+
+A thin wrapper that:
+- Delegates `GetDataAsync` to the outermost layer.
+- **`WaitForIdleAsync` awaits all layers sequentially, outermost to innermost.** The outer layer is awaited first because its rebalance drives fetch requests into inner layers. This ensures `GetDataAndWaitForIdleAsync` correctly waits for the entire cache stack to converge.
+- **Owns** all layer `WindowCache` instances and disposes them in reverse order (outermost first) when disposed.
+- Exposes `LayerCount` for inspection.
+
+Typically created via `LayeredWindowCacheBuilder.Build()` rather than directly.
+
+### LayeredWindowCacheBuilder\<TRange, TData, TDomain\>
+
+**File**: `src/SlidingWindowCache/Public/LayeredWindowCacheBuilder.cs`
+
+**Type**: `sealed class` — fluent builder
+
+```csharp
+await using var cache = LayeredWindowCacheBuilder<int, byte[], IntegerFixedStepDomain>
+    .Create(realDataSource, domain)
+    .AddLayer(deepOptions)   // L2: inner layer (CopyOnRead, large buffers)
+    .AddLayer(userOptions)   // L1: outer layer (Snapshot, small buffers)
+    .Build();
+```
+
+- `Create(dataSource, domain)` — factory entry point; validates both `dataSource` and `domain` are not null.
+- `AddLayer(options, diagnostics?)` — adds a layer on top; first call = innermost layer, last call = outermost (user-facing).
+- `Build()` — constructs all `WindowCache` instances, wires them via `WindowCacheDataSourceAdapter`, and wraps them in `LayeredWindowCache`.
+- Throws `InvalidOperationException` from `Build()` if no layers were added.
+
+**See**: `README.md` (Multi-Layer Cache section) and `docs/storage-strategies.md` for recommended layer configuration patterns.
 
 - `docs/boundary-handling.md`
 - `docs/diagnostics.md`