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feat(acms): implement graph backend (Blazegraph or Neo4j) #872

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opened 2026-03-13 22:56:31 +00:00 by freemo · 4 comments

freemo commented

2026-03-13 22:56:31 +00:00

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Commit Message: feat(acms): implement graph backend (Blazegraph or Neo4j)
Branch: feature/m7-graph-backend

Background and Context

The specification names Blazegraph and Neo4j as graph backends for the ACMS, supporting SPARQL queries over the UKO ontology. Configuration keys for Neo4j exist in config_service.py (lines 524-533) but no implementation class exists.

Currently, InMemoryGraphBackend returns empty GraphResult objects. The ACMS pipeline's breadth-depth-navigator and arce strategies depend on graph traversal for structural code queries and UKO relationship navigation.

The GraphBackend protocol is defined via #498 with SPARQL-based query interface.

Expected Behavior

A production graph backend implementing the GraphBackend protocol that:

Stores UKO triples (RDF) in Blazegraph or Neo4j
Supports SPARQL queries with variable bindings
Supports graph traversal (ancestors, descendants, related nodes)
Integrates with the GraphIndexBackend protocol for write operations
Registers as a DI container provider, replacing InMemoryGraphBackend

Acceptance Criteria

Graph backend implements the GraphBackend protocol (query, get_by_uri, count)
GraphIndexBackend implementation for write operations (index triples, remove, clear)
SPARQL queries return correct GraphResult objects
UKO ontology triples are persisted and queryable
Backend is registered in the DI container
Configuration sourced from config keys (Neo4j connection URL, credentials)
Graceful degradation when the graph database is not available

Subtasks

Choose backend (Blazegraph vs. Neo4j) based on deployment simplicity and Python driver maturity
Implement graph backend class
Implement graph index backend for write operations
Map UKO ontology model to graph database schema
Register backend in DI container with conditional activation
Wire into ACMSPipeline strategy execution
Tests (Behave): Add scenarios for triple storage, SPARQL queries, graceful degradation
Verify coverage >= 97% via nox -s coverage_report
Run nox (all default sessions), fix any errors

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.

## Metadata - **Commit Message**: `feat(acms): implement graph backend (Blazegraph or Neo4j)` - **Branch**: `feature/m7-graph-backend` ## Background and Context The specification names Blazegraph and Neo4j as graph backends for the ACMS, supporting SPARQL queries over the UKO ontology. Configuration keys for Neo4j exist in `config_service.py` (lines 524-533) but no implementation class exists. Currently, `InMemoryGraphBackend` returns empty `GraphResult` objects. The ACMS pipeline's breadth-depth-navigator and arce strategies depend on graph traversal for structural code queries and UKO relationship navigation. The `GraphBackend` protocol is defined via #498 with SPARQL-based query interface. ## Expected Behavior A production graph backend implementing the `GraphBackend` protocol that: - Stores UKO triples (RDF) in Blazegraph or Neo4j - Supports SPARQL queries with variable bindings - Supports graph traversal (ancestors, descendants, related nodes) - Integrates with the `GraphIndexBackend` protocol for write operations - Registers as a DI container provider, replacing `InMemoryGraphBackend` ## Acceptance Criteria - [ ] Graph backend implements the `GraphBackend` protocol (query, get_by_uri, count) - [ ] `GraphIndexBackend` implementation for write operations (index triples, remove, clear) - [ ] SPARQL queries return correct `GraphResult` objects - [ ] UKO ontology triples are persisted and queryable - [ ] Backend is registered in the DI container - [ ] Configuration sourced from config keys (Neo4j connection URL, credentials) - [ ] Graceful degradation when the graph database is not available ## Subtasks - [ ] Choose backend (Blazegraph vs. Neo4j) based on deployment simplicity and Python driver maturity - [ ] Implement graph backend class - [ ] Implement graph index backend for write operations - [ ] Map UKO ontology model to graph database schema - [ ] Register backend in DI container with conditional activation - [ ] Wire into `ACMSPipeline` strategy execution - [ ] Tests (Behave): Add scenarios for triple storage, SPARQL queries, graceful degradation - [ ] Verify coverage >= 97% via `nox -s coverage_report` - [ ] Run `nox` (all default sessions), fix any errors ## 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.

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2026-03-13 22:56:39 +00:00

freemo added this to the v3.7.0 milestone

2026-03-13 22:56:42 +00:00

freemo added a new dependency

2026-03-13 23:11:11 +00:00

#367 Epic: Multi-Agent RDF System

freemo added a new dependency

2026-03-13 23:11:11 +00:00

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

freemo referenced this issue

2026-03-13 23:30:56 +00:00

feat(acms): operationalize UKO runtime with provenance tracking and temporal versioning #891

aditya was assigned by freemo

2026-03-14 04:27:29 +00:00

aditya commented

2026-03-31 12:00:20 +00:00

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@freemo Clarification needed on graph backend choice before implementation begins.

Issue title says: "Blazegraph or Neo4j"
Specification (docs/specification.md) says: accepted values for index.graph.backend are neo4j, rdflib, or none — Blazegraph is not listed as a config option.

The config keys in config_service.py (lines 527-553) already define:

graph.backend → accepts neo4j, rdflib, none
graph.neo4j-url → Neo4j server URL
graph.neo4j-auth → Neo4j auth credentials

The spec (lines 43652-43661) describes the technology stack as:

Neo4j — external graph database for production (structural code relationships, class hierarchies, call graphs)
rdflib >= 7.1.4 — in-process Python RDF library, no external dependencies, lightweight graph queries

Blazegraph appears only in the ACMS architecture diagram as one of several physical data store options but has no config support, no Python driver ecosystem, and is not referenced as an accepted config value.

My proposed approach: Implement rdflib as the graph backend for this issue. Rationale:

rdflib has native SPARQL support (parser + query engine built in), which aligns directly with the GraphBackend.sparql_query() protocol method.
No external server required — simpler deployment, easier testing.
Mature Python library (>= 7.1.4 per spec).
Follows the same pattern as the FAISS vector backend: factory function reads config, returns real implementation or falls back to InMemory.
A separate Neo4j backend could be added later as a follow-up issue if production scale demands it.

If you intended for this issue to specifically target Neo4j or Blazegraph instead, please let me know before I proceed.

@freemo Clarification needed on graph backend choice before implementation begins. **Issue title says:** "Blazegraph or Neo4j" **Specification (`docs/specification.md`) says:** accepted values for `index.graph.backend` are `neo4j`, `rdflib`, or `none` — Blazegraph is not listed as a config option. The config keys in `config_service.py` (lines 527-553) already define: - `graph.backend` → accepts `neo4j`, `rdflib`, `none` - `graph.neo4j-url` → Neo4j server URL - `graph.neo4j-auth` → Neo4j auth credentials The spec (lines 43652-43661) describes the technology stack as: - **Neo4j** — external graph database for production (structural code relationships, class hierarchies, call graphs) - **rdflib >= 7.1.4** — in-process Python RDF library, no external dependencies, lightweight graph queries Blazegraph appears only in the ACMS architecture diagram as one of several physical data store options but has no config support, no Python driver ecosystem, and is not referenced as an accepted config value. **My proposed approach:** Implement **rdflib** as the graph backend for this issue. Rationale: 1. rdflib has **native SPARQL support** (parser + query engine built in), which aligns directly with the `GraphBackend.sparql_query()` protocol method. 2. No external server required — simpler deployment, easier testing. 3. Mature Python library (>= 7.1.4 per spec). 4. Follows the same pattern as the FAISS vector backend: factory function reads config, returns real implementation or falls back to InMemory. 5. A separate Neo4j backend could be added later as a follow-up issue if production scale demands it. If you intended for this issue to specifically target Neo4j or Blazegraph instead, please let me know before I proceed.

aditya was unassigned by freemo

2026-04-02 06:14:03 +00:00

freemo self-assigned this

2026-04-02 06:14:03 +00:00

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2026-04-02 07:13:03 +00:00

[Automated] Product Build Session State #1265

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feat(acms): implement graph backend (Blazegraph or Neo4j)

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feat(acms): implement graph backend (Blazegraph or Neo4j) #1282

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2026-04-02 09:01:25 +00:00

feat(acms): implement graph backend (Blazegraph or Neo4j) #1282

freemo commented

2026-04-02 09:01:38 +00:00

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PR #1282 has been reviewed. Changes requested — the implementation is solid but has blocking issues:

7+ # type: ignore comments in neo4j_graph_backend.py violating the project's strict no-type-ignore rule
Broad except Exception catch-all blocks that suppress errors instead of propagating them (violates fail-fast principle)
Factory function return types use Any instead of protocol types

Full review details in the PR comment.

PR #1282 has been reviewed. **Changes requested** — the implementation is solid but has blocking issues: 1. **7+ `# type: ignore` comments** in `neo4j_graph_backend.py` violating the project's strict no-type-ignore rule 2. **Broad `except Exception` catch-all blocks** that suppress errors instead of propagating them (violates fail-fast principle) 3. **Factory function return types** use `Any` instead of protocol types Full review details in the [PR comment](https://git.cleverthis.com/cleveragents/cleveragents-core/pulls/1282#issuecomment-77324).

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[Automated] Product Build Session State #1314

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[Automated] Product Build Session State #1314

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[Automated] Product Build Session State #1314

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2026-04-02 16:59:30 +00:00

feat(acms): implement graph backend (Blazegraph or Neo4j) #1282

freemo commented

2026-04-02 16:59:38 +00:00

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PR #1282 reviewed (round 2) — changes requested. The PR has not been updated since the prior review. Three blocking issues remain:

9 # type: ignore comments across source and test files (CONTRIBUTING.md violation)
Broad except Exception catch-all blocks in 6 backend methods suppress programming errors (fail-fast violation)
Factory function return types use Any instead of protocol types

See PR #1282 review comment for full details and fix guidance.

PR #1282 reviewed (round 2) — **changes requested**. The PR has not been updated since the prior review. Three blocking issues remain: 1. **9 `# type: ignore` comments** across source and test files (CONTRIBUTING.md violation) 2. **Broad `except Exception` catch-all blocks** in 6 backend methods suppress programming errors (fail-fast violation) 3. **Factory function return types** use `Any` instead of protocol types See [PR #1282 review comment](https://git.cleverthis.com/cleveragents/cleveragents-core/pulls/1282#issuecomment-78494) for full details and fix guidance.

freemo referenced this issue

2026-04-02 17:29:10 +00:00

feat(acms): implement graph backend (Blazegraph or Neo4j) #1282

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2026-04-02 17:30:04 +00:00

feat(acms): implement graph backend (Blazegraph or Neo4j) #1282

freemo commented

2026-04-02 17:30:14 +00:00

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PR #1282 Review (Round 3): Changes requested.

The PR has not been updated since the original commit. Three blocking issues remain unresolved:

9 # type: ignore comments — strictly forbidden by CONTRIBUTING.md
Broad except Exception blocks in 6 backend methods — violates fail-fast principle
Factory function return types use Any instead of protocol types

Detailed review with fix instructions posted on PR #1282. The implementation is otherwise well-structured — once these three issues are fixed, the PR should be ready to merge.

**PR #1282 Review (Round 3)**: Changes requested. The PR has not been updated since the original commit. Three blocking issues remain unresolved: 1. **9 `# type: ignore` comments** — strictly forbidden by CONTRIBUTING.md 2. **Broad `except Exception` blocks** in 6 backend methods — violates fail-fast principle 3. **Factory function return types** use `Any` instead of protocol types Detailed review with fix instructions posted on PR #1282. The implementation is otherwise well-structured — once these three issues are fixed, the PR should be ready to merge.

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[Milestone Review] v3.7.0 — Holistic Integration Review (2026-04-03) #2113

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Task: Autonomous build progress report — 2026-04-05 #3075

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feat: Transition issue #3082 to State/Verified #3082

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Epic: Multi-Agent RDF System #367

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Task: Autonomous build progress report — 2026-04-05 #3075

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2026-04-09 11:04:36 +00:00

UAT: InMemoryGraphIndexBackend.query() ignores SPARQL string entirely — returns all triples regardless of query filter #5864

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auto/restart-throttled

Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.

auto/revert

Revert PR backing out an invariant violation. Fast-tracked through the merge driver.

auto/sentinel

Sentinel PR duplicated from upstream into a personal fork by tools/duplicate_prs_to_fork.py for pipeline testing. Lives only in the fork; the canonical pipeline never sees it.

auto/stale-inactivity

No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.

auto/unstable

Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.

Blocked

A ticket in a blocked state and unable to complete until some other task is completed first.

Bounty

$100

A bounty of $100 for any open-source contributor who provides a MR that solves this issue

Bounty

$1000

A bounty of $1000 for any open-source contributor who provides a MR that solves this issue

Bounty

$10000

A bounty of $10000 for any open-source contributor who provides a MR that solves this issue

Bounty

$20

A bounty of $20 for any open-source contributor who provides a MR that solves this issue

Bounty

$2000

A bounty of $2000 for any open-source contributor who provides a MR that solves this issue

Bounty

$250

A bounty of $250 for any open-source contributor who provides a MR that solves this issue

Bounty

$50

A bounty of $50 for any open-source contributor who provides a MR that solves this issue

Bounty

$500

A bounty of $500 for any open-source contributor who provides a MR that solves this issue

Bounty

$5000

A bounty of $5000 for any open-source contributor who provides a MR that solves this issue

Bounty

$750

A bounty of $750 for any open-source contributor who provides a MR that solves this issue

MoSCoW

Could have

Could have feature in order to satisfy the epic/legendary.

MoSCoW

Must have

Must have feature in order to satisfy the epic/legendary.

MoSCoW

Should have

Should have feature in order to satisfy the epic/legendary.

Needs Feedback

There are questions in the ticket that can not be completed until the project owner provides clarity.

Points

1 man-hours worth of work for an expert with no learning curve.

Points

13 man-hours worth of work for an expert with no learning curve.

Points

2 man-hours worth of work for an expert with no learning curve.

Points

21 man-hours worth of work for an expert with no learning curve.

Points

3 man-hours worth of work for an expert with no learning curve.

Points

34 man-hours worth of work for an expert with no learning curve.

Points

5 man-hours worth of work for an expert with no learning curve.

Points

55 man-hours worth of work for an expert with no learning curve.

Points

8 man-hours worth of work for an expert with no learning curve.

Points

88 man-hours worth of work for an expert with no learning curve.

Priority

Backlog

This ticket has backlogged priority and is not to be worked on yet

Priority

CI Blocker

Critical priority issue that blocks CI/CD pipeline and prevents PR merges

Priority

Critical

The priority is critical

The priority is medium

Signed-off: Owner

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

Signed-off: Scrum Master

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

Signed-off: Tech Lead

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

Spike

A ticket for learning a tool or technology that is needed to be able to do future planning and design.

State

Completed

The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

State

Duplicate

A ticket that represents the same content as an existing ticket.

State

In Progress

A ticket that is actively being developed.

State

In Review

A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

State

Paused

This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

State

Unverified

All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

State

Verified

The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

State

Wont Do

This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

Type

Automation

Any edits or discussion about the AI automated coding system.

Type

Bug

Something that doesnt work as intended.

Type

Discussion

Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

Type

Documentation

An error or improvement needed in the documentation.

Type

Epic

Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

Type

Feature

Some new functionality not present.

Type

Legendary

A type of Epic which will contain other Epics.

Type

Refactor

A code change that restructures existing code without changing its external behavior.

Type

Support

Someone needs help using the project.

Type

Task

A generic task that doesnt fit into the other type categories.

Type

Testing

Work exclusively focusing on fixing or expanding testing.

No labels

auto/needs-reevaluation

controller-managed

auto/blocked-by-deps

auto/ci-timeout

auto/claimed-implementer

auto/claimed-merge

auto/claimed-reviewer

auto/driver-down

auto/invariant-violation

auto/last-attempt-tier-0

auto/last-attempt-tier-1

auto/last-attempt-tier-2

auto/last-attempt-tier-min

Automation Tracking

auto/needs-conflict-resolution

auto/needs-implementer

auto/postmortem

auto/ready-to-merge

auto/restart-throttled

auto/revert

auto/sentinel

auto/stale-inactivity

Signed-off: Scrum Master

Signed-off: Tech Lead

Milestone

Clear milestone

No items

No milestone

v3.7.0

Projects

Clear projects

No items

No project

Assignees

Clear assignees

No assignees

freemo

2 participants

Notifications

Due date

The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Blocks

#367 Epic: Multi-Agent RDF System

cleveragents/cleveragents-core

Depends on

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

cleveragents/cleveragents-core

Reference

cleveragents/cleveragents-core#872

Reference in a new issue

Repository

cleveragents/cleveragents-core

Title

Body

No description provided.

Delete branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?

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