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UAT: DecisionService._record_dependencies does not persist influence edges to decision_dependencies table — edges lost on service restart #3569

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opened 2026-04-05 19:50:04 +00:00 by freemo · 2 comments
freemo commented 2026-04-05 19:50:04 +00:00
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Metadata

  • Branch: fix/decision-service-persist-influence-edges
  • Commit Message: fix(decision): persist influence edges to decision_dependencies table in _record_dependencies
  • Milestone: None (backlog — see note below)
  • Parent Epic: #394

Background

The DecisionService._record_dependencies() method in
src/cleveragents/application/services/decision_service.py (lines 910–933)
claims in its docstring to persist influence edges to the
decision_dependencies table when a UnitOfWork is wired, but the
implementation only stores edges in the in-memory self._dependencies dict.
No database write occurs.

Per spec §Dual Structure: Structural Tree and Influence DAG, the
decision_dependencies table is the durable store for influence edges between
decisions. When record_decision() is called with dependency_decision_ids,
each upstream→downstream edge must be persisted so that the influence DAG
survives service restarts.

Bug Report

Expected behaviour (per spec §Dual Structure: Structural Tree and Influence DAG):
Each upstream→downstream influence edge is written to the
decision_dependencies table via the UnitOfWork whenever
_record_dependencies() is called in persisted mode. After a service restart,
get_influence_edges() reconstructs the full influence DAG from the database.

Actual behaviour:
_record_dependencies() only appends to self._dependencies (in-memory
dict). No INSERT INTO decision_dependencies is executed. After a service
restart, all influence edges are lost.

Consequence:
get_influence_edges() (lines 935–957) also reads only from
self._dependencies. After a restart, CorrectionService.analyze_impact()
receives an empty influence DAG and computes an incomplete affected subtree —
missing decisions that are only reachable via influence edges, not structural
parent-child links.

Steps to reproduce:

  1. Create a DecisionService with a UnitOfWork (persisted mode).
  2. Record two decisions D1 and D2 with dependency_decision_ids=[D1.decision_id] for D2.
  3. Restart the service (create a new DecisionService instance with the same UnitOfWork).
  4. Call get_influence_edges(plan_id) — returns empty dict.
  5. Call analyze_impact() — affected subtree is incomplete (misses D2 if only reachable via influence edge).

Code locations:

  • src/cleveragents/application/services/decision_service.py, lines 910–933 (_record_dependencies)
  • src/cleveragents/application/services/decision_service.py, lines 935–957 (get_influence_edges)
  • src/cleveragents/infrastructure/database/models.py, lines 2905–2940 (DecisionDependencyModel — table exists but is never written to by DecisionService)

Subtasks

  • Add a DecisionDependencyRepository method (or use the existing UoW pattern) to insert a row into decision_dependencies for each upstream→downstream edge
  • Update _record_dependencies(): when self._persisted is True, write each edge to the decision_dependencies table via the UnitOfWork in addition to updating self._dependencies
  • Update get_influence_edges(): when self._persisted is True, query the decision_dependencies table (via the UnitOfWork) instead of (or merged with) the in-memory dict, so that edges survive restarts
  • Write BDD scenarios (Behave/Gherkin) in features/ covering: (a) edges are persisted on record_decision, (b) edges are recovered after service restart, (c) CorrectionService.analyze_impact() returns the full affected subtree when influence edges exist only in the DB
  • Add Robot Framework integration test in robot/ verifying end-to-end: record → restart → get_influence_edges → analyze_impact returns complete subtree
  • Ensure all new code passes nox -e typecheck (Pyright, no # type: ignore)
  • Ensure nox -e lint passes with no new violations
  • Verify nox -e coverage_report remains ≥ 97%

Definition of Done

  • All subtasks above are checked off
  • _record_dependencies() writes influence edges to decision_dependencies table when in persisted mode
  • get_influence_edges() reads from decision_dependencies table when in persisted mode, returning correct edges after a service restart
  • CorrectionService.analyze_impact() returns the complete affected subtree (including decisions reachable only via influence edges) after a service restart
  • BDD unit test scenarios pass (nox -e unit_tests)
  • Robot Framework integration tests pass (nox -e integration_tests)
  • All nox stages pass (nox)
  • Coverage ≥ 97%
  • Work is committed using the exact branch and commit message from the Metadata section above
  • A pull request has been created, reviewed (≥ 2 approvals), and merged

Backlog note: This issue was discovered during autonomous operation
on milestone v3.2.0. It does not block milestone completion and has been
placed in the backlog for human review and future milestone assignment.

Automated by CleverAgents Bot
Supervisor: Acting on behalf of: UAT Testing | Agent: ca-new-issue-creator

## Metadata - **Branch**: `fix/decision-service-persist-influence-edges` - **Commit Message**: `fix(decision): persist influence edges to decision_dependencies table in _record_dependencies` - **Milestone**: None (backlog — see note below) - **Parent Epic**: #394 ## Background The `DecisionService._record_dependencies()` method in `src/cleveragents/application/services/decision_service.py` (lines 910–933) claims in its docstring to persist influence edges to the `decision_dependencies` table when a `UnitOfWork` is wired, but the implementation only stores edges in the in-memory `self._dependencies` dict. No database write occurs. Per spec §**Dual Structure: Structural Tree and Influence DAG**, the `decision_dependencies` table is the durable store for influence edges between decisions. When `record_decision()` is called with `dependency_decision_ids`, each upstream→downstream edge must be persisted so that the influence DAG survives service restarts. ## Bug Report **Expected behaviour** (per spec §Dual Structure: Structural Tree and Influence DAG): Each upstream→downstream influence edge is written to the `decision_dependencies` table via the `UnitOfWork` whenever `_record_dependencies()` is called in persisted mode. After a service restart, `get_influence_edges()` reconstructs the full influence DAG from the database. **Actual behaviour**: `_record_dependencies()` only appends to `self._dependencies` (in-memory dict). No `INSERT INTO decision_dependencies` is executed. After a service restart, all influence edges are lost. **Consequence**: `get_influence_edges()` (lines 935–957) also reads only from `self._dependencies`. After a restart, `CorrectionService.analyze_impact()` receives an empty influence DAG and computes an incomplete affected subtree — missing decisions that are only reachable via influence edges, not structural parent-child links. **Steps to reproduce**: 1. Create a `DecisionService` with a `UnitOfWork` (persisted mode). 2. Record two decisions D1 and D2 with `dependency_decision_ids=[D1.decision_id]` for D2. 3. Restart the service (create a new `DecisionService` instance with the same `UnitOfWork`). 4. Call `get_influence_edges(plan_id)` — returns empty dict. 5. Call `analyze_impact()` — affected subtree is incomplete (misses D2 if only reachable via influence edge). **Code locations**: - `src/cleveragents/application/services/decision_service.py`, lines 910–933 (`_record_dependencies`) - `src/cleveragents/application/services/decision_service.py`, lines 935–957 (`get_influence_edges`) - `src/cleveragents/infrastructure/database/models.py`, lines 2905–2940 (`DecisionDependencyModel` — table exists but is never written to by `DecisionService`) ## Subtasks - [ ] Add a `DecisionDependencyRepository` method (or use the existing UoW pattern) to insert a row into `decision_dependencies` for each upstream→downstream edge - [ ] Update `_record_dependencies()`: when `self._persisted` is `True`, write each edge to the `decision_dependencies` table via the `UnitOfWork` in addition to updating `self._dependencies` - [ ] Update `get_influence_edges()`: when `self._persisted` is `True`, query the `decision_dependencies` table (via the `UnitOfWork`) instead of (or merged with) the in-memory dict, so that edges survive restarts - [ ] Write BDD scenarios (Behave/Gherkin) in `features/` covering: (a) edges are persisted on `record_decision`, (b) edges are recovered after service restart, (c) `CorrectionService.analyze_impact()` returns the full affected subtree when influence edges exist only in the DB - [ ] Add Robot Framework integration test in `robot/` verifying end-to-end: record → restart → `get_influence_edges` → `analyze_impact` returns complete subtree - [ ] Ensure all new code passes `nox -e typecheck` (Pyright, no `# type: ignore`) - [ ] Ensure `nox -e lint` passes with no new violations - [ ] Verify `nox -e coverage_report` remains ≥ 97% ## Definition of Done - [ ] All subtasks above are checked off - [ ] `_record_dependencies()` writes influence edges to `decision_dependencies` table when in persisted mode - [ ] `get_influence_edges()` reads from `decision_dependencies` table when in persisted mode, returning correct edges after a service restart - [ ] `CorrectionService.analyze_impact()` returns the complete affected subtree (including decisions reachable only via influence edges) after a service restart - [ ] BDD unit test scenarios pass (`nox -e unit_tests`) - [ ] Robot Framework integration tests pass (`nox -e integration_tests`) - [ ] All nox stages pass (`nox`) - [ ] Coverage ≥ 97% - [ ] Work is committed using the exact branch and commit message from the Metadata section above - [ ] A pull request has been created, reviewed (≥ 2 approvals), and merged > **Backlog note:** This issue was discovered during autonomous operation > on milestone v3.2.0. It does not block milestone completion and has been > placed in the backlog for human review and future milestone assignment. --- **Automated by CleverAgents Bot** Supervisor: Acting on behalf of: UAT Testing | Agent: ca-new-issue-creator
freemo added this to the v3.4.0 milestone 2026-04-05 20:04:15 +00:00
freemo commented 2026-04-05 20:04:43 +00:00
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Issue triaged by project owner:

  • State: Verified
  • Priority: High — Data persistence bug causing influence edges to be lost on service restart. This directly impacts CorrectionService.analyze_impact() correctness, producing incomplete affected subtrees. Per spec §Dual Structure: Structural Tree and Influence DAG, the decision_dependencies table is the durable store and must be written to.
  • Milestone: v3.4.0
  • Story Points: 3 — M — Requires adding repository write logic, updating two methods, and writing BDD + Robot Framework tests. Clear fix path with well-defined scope.
  • MoSCoW: Should Have — The influence DAG persistence is important for decision pipeline integrity. The spec explicitly requires durable storage of influence edges. However, the issue itself notes it does not block milestone completion, and the in-memory path works within a single session.
  • Parent Epic: #394 (dependency link already exists)

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: ca-project-owner

Issue triaged by project owner: - **State**: Verified - **Priority**: High — Data persistence bug causing influence edges to be lost on service restart. This directly impacts `CorrectionService.analyze_impact()` correctness, producing incomplete affected subtrees. Per spec §Dual Structure: Structural Tree and Influence DAG, the `decision_dependencies` table is the durable store and must be written to. - **Milestone**: v3.4.0 - **Story Points**: 3 — M — Requires adding repository write logic, updating two methods, and writing BDD + Robot Framework tests. Clear fix path with well-defined scope. - **MoSCoW**: Should Have — The influence DAG persistence is important for decision pipeline integrity. The spec explicitly requires durable storage of influence edges. However, the issue itself notes it does not block milestone completion, and the in-memory path works within a single session. - **Parent Epic**: #394 (dependency link already exists) --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: ca-project-owner
freemo removed this from the v3.4.0 milestone 2026-04-06 21:04:24 +00:00
HAL9000 self-assigned this 2026-04-08 18:51:55 +00:00
HAL9000 added this to the v3.7.0 milestone 2026-04-08 18:51:55 +00:00
HAL9000 commented 2026-04-08 18:52:19 +00:00
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Issue assigned to @HAL9000 and milestone set to v3.7.0.

Milestone Rationale: DecisionService persistence of influence edges is part of the decision management system. v3.7.0 covers advanced service features.

Assignment Rationale: Default assignment to HAL9000 to maintain velocity.

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner

Issue assigned to @HAL9000 and milestone set to **v3.7.0**. **Milestone Rationale**: DecisionService persistence of influence edges is part of the decision management system. v3.7.0 covers advanced service features. **Assignment Rationale**: Default assignment to HAL9000 to maintain velocity. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner
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$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
 1 man-hours worth of work for an expert with no learning curve.

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

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

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

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

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

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

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

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

  
Points
88
 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

  
Priority
High
 The priority is high

  
Priority
Low
 The priority is low

  
Priority
Medium
 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
auto/unstable
Blocked
Bounty
$100
Bounty
$1000
Bounty
$10000
Bounty
$20
Bounty
$2000
Bounty
$250
Bounty
$50
Bounty
$500
Bounty
$5000
Bounty
$750
MoSCoW
Could have
MoSCoW
Must have
MoSCoW
Should have
Needs Feedback
Points
1
Points
13
Points
2
Points
21
Points
3
Points
34
Points
5
Points
55
Points
8
Points
88
Priority
Backlog
Priority
CI Blocker
Priority
Critical
Priority
High
Priority
Low
Priority
Medium
Signed-off: Owner
Signed-off: Scrum Master
Signed-off: Tech Lead
Spike
State
Completed
State
Duplicate
State
In Progress
State
In Review
State
Paused
State
Unverified
State
Verified
State
Wont Do
Type
Automation
Type
Bug
Type
Discussion
Type
Documentation
Type
Epic
Type
Feature
Type
Legendary
Type
Refactor
Type
Support
Type
Task
Type
Testing
Milestone
Clear milestone
No items
No milestone
v3.7.0
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
HAL9000
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
#394 Epic: Decision Framework
cleveragents/cleveragents-core
Reference
cleveragents/cleveragents-core#3569
No description provided.