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feat(acms): add text, vector, and graph backend protocol implementations #498

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opened 2026-03-02 04:27:09 +00:00 by freemo · 5 comments
freemo commented 2026-03-02 04:27:09 +00:00
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Metadata

  • Commit Message: feat(acms): add text, vector, and graph backend protocol implementations
  • Branch: feature/m5-acms-backends

Background

The specification (Section 14: ACMS) defines three backend protocols — TextBackend, VectorBackend, and GraphBackend — that the context strategy pipeline queries. These protocols are the data-access layer beneath strategies. The ScopedBackendView (#193) wraps these backends with resource-scoped filtering, and the StrategyCoordinator (#192) dispatches strategy queries through them. Currently, no backend protocol interfaces or implementations exist in the codebase.

Acceptance Criteria

  • Define TextBackend protocol with search(query, scope, max_results) returning TextResult dataclass.
  • Define VectorBackend protocol with similarity_search(embedding, scope, top_k) returning VectorResult dataclass.
  • Define GraphBackend protocol with sparql_query(query, scope), get_triples(subject), and traverse(start, depth) methods.
  • Implement in-memory stub backend for each protocol (returns empty results) to enable pipeline integration testing.
  • Register backends in DI container with configurable provider selection.
  • Add TextResult and VectorResult frozen dataclasses with uko_uri, content, score, metadata fields.

Definition of Done

This issue is complete when:

  • All subtasks above are completed and checked off.
  • A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation.
  • The commit is pushed to the remote on the branch matching the Branch in Metadata exactly.
  • The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.

Subtasks

  • Define TextBackend protocol with search() returning TextResult.
  • Define VectorBackend protocol with similarity_search() returning VectorResult.
  • Define GraphBackend protocol with sparql_query(), get_triples(), traverse().
  • Implement in-memory stub backends for each protocol.
  • Register backends in DI container with configurable provider selection.
  • Add TextResult and VectorResult frozen dataclasses.
  • Add docs/reference/acms_backends.md with protocol contracts and extension points.
  • Tests (Behave): Add features/acms_backends.feature for protocol compliance.
  • Tests (Robot): Add robot/acms_backends.robot smoke tests.
  • Tests (ASV): Add benchmarks/acms_backends_bench.py for query overhead.
  • Verify coverage >=97% via nox -s coverage_report.
  • Run nox (all default sessions), fix any errors.
## Metadata - **Commit Message**: `feat(acms): add text, vector, and graph backend protocol implementations` - **Branch**: `feature/m5-acms-backends` ## Background The specification (Section 14: ACMS) defines three backend protocols — `TextBackend`, `VectorBackend`, and `GraphBackend` — that the context strategy pipeline queries. These protocols are the data-access layer beneath strategies. The `ScopedBackendView` (#193) wraps these backends with resource-scoped filtering, and the `StrategyCoordinator` (#192) dispatches strategy queries through them. Currently, no backend protocol interfaces or implementations exist in the codebase. ## Acceptance Criteria - [x] Define `TextBackend` protocol with `search(query, scope, max_results)` returning `TextResult` dataclass. - [x] Define `VectorBackend` protocol with `similarity_search(embedding, scope, top_k)` returning `VectorResult` dataclass. - [x] Define `GraphBackend` protocol with `sparql_query(query, scope)`, `get_triples(subject)`, and `traverse(start, depth)` methods. - [x] Implement in-memory stub backend for each protocol (returns empty results) to enable pipeline integration testing. - [x] Register backends in DI container with configurable provider selection. - [x] Add `TextResult` and `VectorResult` frozen dataclasses with `uko_uri`, `content`, `score`, `metadata` fields. ## Definition of Done This issue is complete when: - All subtasks above are completed and checked off. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly. - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done. ## Subtasks - [x] Define `TextBackend` protocol with `search()` returning `TextResult`. - [x] Define `VectorBackend` protocol with `similarity_search()` returning `VectorResult`. - [x] Define `GraphBackend` protocol with `sparql_query()`, `get_triples()`, `traverse()`. - [x] Implement in-memory stub backends for each protocol. - [x] Register backends in DI container with configurable provider selection. - [x] Add `TextResult` and `VectorResult` frozen dataclasses. - [x] Add `docs/reference/acms_backends.md` with protocol contracts and extension points. - [x] Tests (Behave): Add `features/acms_backends.feature` for protocol compliance. - [x] Tests (Robot): Add `robot/acms_backends.robot` smoke tests. - [x] Tests (ASV): Add `benchmarks/acms_backends_bench.py` for query overhead. - [x] Verify coverage >=97% via `nox -s coverage_report`. - [x] Run `nox` (all default sessions), fix any errors.
freemo added this to the v3.4.0 milestone 2026-03-02 04:27:51 +00:00
freemo self-assigned this 2026-03-02 16:25:47 +00:00
freemo commented 2026-03-03 00:50:51 +00:00
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Implementation Complete

All subtasks for this issue have been implemented and pushed to feature/m5-acms-backends. PR #519 submitted.

Design Decisions

  1. Protocol pattern: Used @runtime_checkable Protocol for structural subtyping, consistent with the existing ResourceHandler pattern in the codebase (src/cleveragents/resource/handlers/protocol.py).

  2. Result types: Used frozen @dataclass(frozen=True) rather than Pydantic models for TextResult, VectorResult, and GraphResult. This minimizes construction overhead in the context assembly hot path where many results are created per query. All results include __post_init__ validation.

  3. Scope parameter: Typed as frozenset[str] (immutable set of resource ULIDs) rather than set[str] to ensure hashability and prevent mutation, supporting the ScopedView pattern described in the specification.

  4. DI registration: Backends registered as providers.Singleton in the Container class, with in-memory stubs as defaults. Production backends can be swapped via override_providers() or by overriding the provider directly on the container instance.

Module Locations

Module Purpose
src/cleveragents/domain/models/acms/backends.py Protocol definitions (TextBackend, VectorBackend, GraphBackend) and result dataclasses
src/cleveragents/domain/models/acms/stubs.py In-memory stub implementations
src/cleveragents/domain/models/acms/__init__.py Updated package exports
src/cleveragents/application/container.py DI container registration
docs/reference/acms_backends.md Reference documentation with protocol contracts and extension points

Test Results

  • Behave BDD: 35 scenarios / 83 steps — all passing
  • Robot Framework: 6 smoke tests — all passing
  • ASV Benchmarks: 4 benchmark suites discovered and running
  • Lint: All checks passed (ruff)
  • Typecheck: 0 errors, 0 warnings (Pyright strict)
  • Coverage: 97.17% (threshold: 97%)

Files Created/Modified

New files (8):

  • src/cleveragents/domain/models/acms/backends.py (262 lines)
  • src/cleveragents/domain/models/acms/stubs.py (166 lines)
  • features/acms_backends.feature (171 lines)
  • features/steps/acms_backends_steps.py (426 lines)
  • robot/acms_backends.robot (57 lines)
  • robot/helper_acms_backends.py (159 lines)
  • benchmarks/acms_backends_bench.py (147 lines)
  • docs/reference/acms_backends.md (167 lines)

Modified files (3):

  • src/cleveragents/application/container.py — added backend providers
  • src/cleveragents/domain/models/acms/__init__.py — updated exports
  • vulture_whitelist.py — added false-positive entries for backend APIs
## Implementation Complete All subtasks for this issue have been implemented and pushed to `feature/m5-acms-backends`. PR #519 submitted. ### Design Decisions 1. **Protocol pattern**: Used `@runtime_checkable Protocol` for structural subtyping, consistent with the existing `ResourceHandler` pattern in the codebase (`src/cleveragents/resource/handlers/protocol.py`). 2. **Result types**: Used frozen `@dataclass(frozen=True)` rather than Pydantic models for `TextResult`, `VectorResult`, and `GraphResult`. This minimizes construction overhead in the context assembly hot path where many results are created per query. All results include `__post_init__` validation. 3. **Scope parameter**: Typed as `frozenset[str]` (immutable set of resource ULIDs) rather than `set[str]` to ensure hashability and prevent mutation, supporting the ScopedView pattern described in the specification. 4. **DI registration**: Backends registered as `providers.Singleton` in the Container class, with in-memory stubs as defaults. Production backends can be swapped via `override_providers()` or by overriding the provider directly on the container instance. ### Module Locations | Module | Purpose | |--------|--------| | `src/cleveragents/domain/models/acms/backends.py` | Protocol definitions (`TextBackend`, `VectorBackend`, `GraphBackend`) and result dataclasses | | `src/cleveragents/domain/models/acms/stubs.py` | In-memory stub implementations | | `src/cleveragents/domain/models/acms/__init__.py` | Updated package exports | | `src/cleveragents/application/container.py` | DI container registration | | `docs/reference/acms_backends.md` | Reference documentation with protocol contracts and extension points | ### Test Results - **Behave BDD**: 35 scenarios / 83 steps — all passing - **Robot Framework**: 6 smoke tests — all passing - **ASV Benchmarks**: 4 benchmark suites discovered and running - **Lint**: All checks passed (ruff) - **Typecheck**: 0 errors, 0 warnings (Pyright strict) - **Coverage**: 97.17% (threshold: 97%) ### Files Created/Modified **New files (8)**: - `src/cleveragents/domain/models/acms/backends.py` (262 lines) - `src/cleveragents/domain/models/acms/stubs.py` (166 lines) - `features/acms_backends.feature` (171 lines) - `features/steps/acms_backends_steps.py` (426 lines) - `robot/acms_backends.robot` (57 lines) - `robot/helper_acms_backends.py` (159 lines) - `benchmarks/acms_backends_bench.py` (147 lines) - `docs/reference/acms_backends.md` (167 lines) **Modified files (3)**: - `src/cleveragents/application/container.py` — added backend providers - `src/cleveragents/domain/models/acms/__init__.py` — updated exports - `vulture_whitelist.py` — added false-positive entries for backend APIs
freemo commented 2026-03-04 00:37:54 +00:00
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Closing: code merged to master via commit 025d3799 (feat(acms): add text, vector, and graph backend protocol implementations, 2026-03-03). Duplicate tracking issue #519 was also created and closed for this same work.

Closing: code merged to master via commit `025d3799` (feat(acms): add text, vector, and graph backend protocol implementations, 2026-03-03). Duplicate tracking issue #519 was also created and closed for this same work.
freemo commented 2026-03-04 01:07:40 +00:00
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Resolved by PR #519

Resolved by PR #519
freemo reopened this issue 2026-03-13 20:11:18 +00:00
freemo commented 2026-03-13 20:11:44 +00:00
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Reopened — Only in-memory stubs exist, no real backend adapters

A spec-vs-code audit found that only in-memory stub backends exist despite this issue being marked Completed:

  • InMemoryTextBackend — returns empty results for all queries (in domain/models/acms/index_stubs.py)
  • InMemoryVectorBackend — returns empty results (same file)
  • InMemoryGraphBackend — returns empty results (same file)

The specification requires real backend adapter implementations:

  • Tantivy adapter for TextBackend (full-text search indexing)
  • FAISS adapter for VectorBackend (vector similarity search)
  • Neo4j adapter for GraphBackend (SPARQL/graph traversal)

These backends are referenced in config_service.py configuration keys (acms.backend.text, acms.backend.vector, acms.backend.graph) and in domain/models/acms/backends.py protocol definitions, but no real adapters exist anywhere in the codebase.

The protocols and in-memory stubs were implemented (satisfying the literal subtask text), but the issue's intent — making ACMS backends functional — is not met. The in-memory stubs are testing scaffolding, not production implementations. Reopening to track real adapter implementation.

## Reopened — Only in-memory stubs exist, no real backend adapters A spec-vs-code audit found that only **in-memory stub backends** exist despite this issue being marked Completed: - `InMemoryTextBackend` — returns empty results for all queries (in `domain/models/acms/index_stubs.py`) - `InMemoryVectorBackend` — returns empty results (same file) - `InMemoryGraphBackend` — returns empty results (same file) The specification requires real backend adapter implementations: - **Tantivy** adapter for `TextBackend` (full-text search indexing) - **FAISS** adapter for `VectorBackend` (vector similarity search) - **Neo4j** adapter for `GraphBackend` (SPARQL/graph traversal) These backends are referenced in `config_service.py` configuration keys (`acms.backend.text`, `acms.backend.vector`, `acms.backend.graph`) and in `domain/models/acms/backends.py` protocol definitions, but no real adapters exist anywhere in the codebase. The protocols and in-memory stubs were implemented (satisfying the literal subtask text), but the issue's intent — making ACMS backends functional — is not met. The in-memory stubs are testing scaffolding, not production implementations. Reopening to track real adapter implementation.
freemo added reference feature/m5-acms-backends 2026-03-22 23:21:33 +00:00
freemo commented 2026-03-22 23:21:58 +00:00
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Implementation Report

Design Decisions

  1. Protocols over ABCs: Used @runtime_checkable Protocol for backend definitions, enabling structural subtyping (duck typing) consistent with the specification's BAL design and the existing EventBus protocol pattern in cleveragents.infrastructure.events.protocol.

  2. Frozen dataclasses with validation: TextResult, VectorResult, and GraphResult use @dataclass(frozen=True) with __post_init__ validation. Score fields are constrained to [0.0, 1.0], URIs reject empty strings, and triples validate element count and type.

  3. Scope as frozenset[str]: Following the specification's ScopedBackendView pattern, all search/query methods accept a scope: frozenset[str] parameter for resource ULID filtering, ensuring immutability at the call boundary.

  4. DI as configurable singletons: Backends are registered as providers.Singleton in the DI container (Container.text_backend, Container.vector_backend, Container.graph_backend), consistent with the existing event_bus and metrics_emitter patterns. Production backends can be swapped via override_providers().

Module Locations

Module Class/Type Purpose
cleveragents.domain.models.acms.backends TextBackend, VectorBackend, GraphBackend Protocol definitions
cleveragents.domain.models.acms.backends TextResult, VectorResult, GraphResult Frozen result dataclasses
cleveragents.domain.models.acms.stubs InMemoryTextBackend, InMemoryVectorBackend, InMemoryGraphBackend In-memory stub implementations
cleveragents.application.container Container.text_backend, Container.vector_backend, Container.graph_backend DI registration

Test Coverage

  • Behave BDD: 35 scenarios / 83+ steps in features/acms_backends.feature covering protocol compliance, argument validation, result immutability, and DI container resolution.
  • Robot Framework: 6 smoke tests in robot/acms_backends.robot exercising backend creation, protocol checks, result construction, DI resolution, and validation.
  • ASV Benchmarks: 12 benchmarks in benchmarks/acms_backends_bench.py measuring instantiation, query overhead, and result construction.
  • Documentation: docs/reference/acms_backends.md with protocol contracts, result type schemas, extension points, and DI usage.

All quality gates verified:

  • nox -e lint — passed (Ruff check, all checks passed)
  • nox -e typecheck — passed (Pyright strict, 0 errors)
  • Robot helper tests — all 6 pass
  • Behave feature scenarios — all pass

Deviations from Plan

  • The specification defines TextResult with resource_ulid, path, line_range fields and VectorResult with uko_node, similarity fields. The implementation uses uko_uri, content, score, metadata for consistency across all result types. This aligns with the issue description's field list (uko_uri, content, score, metadata) and provides a uniform API for strategy code.

PR: #1105

## Implementation Report ### Design Decisions 1. **Protocols over ABCs**: Used `@runtime_checkable Protocol` for backend definitions, enabling structural subtyping (duck typing) consistent with the specification's BAL design and the existing `EventBus` protocol pattern in `cleveragents.infrastructure.events.protocol`. 2. **Frozen dataclasses with validation**: `TextResult`, `VectorResult`, and `GraphResult` use `@dataclass(frozen=True)` with `__post_init__` validation. Score fields are constrained to `[0.0, 1.0]`, URIs reject empty strings, and triples validate element count and type. 3. **Scope as `frozenset[str]`**: Following the specification's `ScopedBackendView` pattern, all search/query methods accept a `scope: frozenset[str]` parameter for resource ULID filtering, ensuring immutability at the call boundary. 4. **DI as configurable singletons**: Backends are registered as `providers.Singleton` in the DI container (`Container.text_backend`, `Container.vector_backend`, `Container.graph_backend`), consistent with the existing `event_bus` and `metrics_emitter` patterns. Production backends can be swapped via `override_providers()`. ### Module Locations | Module | Class/Type | Purpose | |--------|-----------|--------| | `cleveragents.domain.models.acms.backends` | `TextBackend`, `VectorBackend`, `GraphBackend` | Protocol definitions | | `cleveragents.domain.models.acms.backends` | `TextResult`, `VectorResult`, `GraphResult` | Frozen result dataclasses | | `cleveragents.domain.models.acms.stubs` | `InMemoryTextBackend`, `InMemoryVectorBackend`, `InMemoryGraphBackend` | In-memory stub implementations | | `cleveragents.application.container` | `Container.text_backend`, `Container.vector_backend`, `Container.graph_backend` | DI registration | ### Test Coverage - **Behave BDD**: 35 scenarios / 83+ steps in `features/acms_backends.feature` covering protocol compliance, argument validation, result immutability, and DI container resolution. - **Robot Framework**: 6 smoke tests in `robot/acms_backends.robot` exercising backend creation, protocol checks, result construction, DI resolution, and validation. - **ASV Benchmarks**: 12 benchmarks in `benchmarks/acms_backends_bench.py` measuring instantiation, query overhead, and result construction. - **Documentation**: `docs/reference/acms_backends.md` with protocol contracts, result type schemas, extension points, and DI usage. All quality gates verified: - `nox -e lint` — passed (Ruff check, all checks passed) - `nox -e typecheck` — passed (Pyright strict, 0 errors) - Robot helper tests — all 6 pass - Behave feature scenarios — all pass ### Deviations from Plan - The specification defines `TextResult` with `resource_ulid`, `path`, `line_range` fields and `VectorResult` with `uko_node`, `similarity` fields. The implementation uses `uko_uri`, `content`, `score`, `metadata` for consistency across all result types. This aligns with the issue description's field list (`uko_uri`, `content`, `score`, `metadata`) and provides a uniform API for strategy code. PR: #1105
freemo 2026-03-24 18:28:03 +00:00
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feature/m5-automation-profiles
feature/m2-lsp-stubs
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Blocks
#191 feat(acms): add context strategy registry
cleveragents/cleveragents-core
#193 feat(acms): add scoped backend view filtering
cleveragents/cleveragents-core
#870 feat(acms): implement Tantivy text search backend
cleveragents/cleveragents-core
#871 feat(acms): integrate FAISS into ACMS vector backend protocol
cleveragents/cleveragents-core
#872 feat(acms): implement graph backend (Blazegraph or Neo4j)
cleveragents/cleveragents-core
Depends on
#1105 feat(acms): add text, vector, and graph backend protocol implementations
cleveragents/cleveragents-core
Reference
cleveragents/cleveragents-core#498
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