Complete workplan state model cleanup
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title: Workstream Lifecycle — Reference
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title: Workstream Lifecycle - Reference
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---
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# Workstream Lifecycle — Reference
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# Workstream Lifecycle - Reference
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A workstream is an information object that occupies a named workstation. The
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stored `status` field keeps the current workstation label, while the
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task-flow engine derives which other workstations are reachable and which exit
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assertions are blocking movement. The dashboard "Workstreams by Domain" chart
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exposes stored and derived states as selectable filters so attention can be
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directed to the right workstreams at the right time.
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A workstream is an information object that occupies a named lifecycle state.
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The stored `status` field keeps that state, while the task-flow engine derives
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which other states are reachable and which exit assertions are blocking
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movement. Dashboard health filters such as `needs_review` and `stalled` are
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derived labels, not stored lifecycle values.
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---
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## Core workstations
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## Stored Lifecycle States
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These are the primary workstations used by State Hub workstreams:
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| Workstation | Source | Meaning |
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| State | Source | Meaning |
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|---|---|---|
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| **active** | DB `status = active` | Work is in progress or ready to start |
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| **finished** | Derived — no open tasks | All tasks are done, but no explicit review has taken place yet |
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| **accepted** | DB `status = completed` | Custodian and human have reviewed the workstream, quality checks passed, and it is formally signed off |
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| **proposed** | DB `status = proposed` | Plan exists, but must be reviewed against current repo state |
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| **ready** | DB `status = ready` | Plan has been reviewed and is ready to execute |
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| **active** | DB `status = active` | Work is in progress |
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| **blocked** | DB `status = blocked` | Work cannot proceed until a dependency, decision, or input clears |
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| **backlog** | DB `status = backlog` | Intentionally parked so it stays out of current work views |
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| **finished** | DB `status = finished` | Implementation is complete |
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| **archived** | DB `status = archived` | Historical record outside normal planning and execution |
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The normal human-facing path is: **active → finished → accepted**.
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`accepted` is the only state that requires an explicit action. It is reached by
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advancing the workstream to the `completed` workstation after deliberate
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review, not by task counts alone. This makes it a reliable anchor: anything in
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`finished` but not yet in `accepted` is work that still needs a quality pass.
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---
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## Attention signals
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These signals are orthogonal to the core workstation — a workstream can be
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`active` and `stalled` at the same time. They serve as health indicators
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rather than stored lifecycle stages.
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| Signal | Source | Meaning |
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|---|---|---|
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| **blocked** | Derived — unmet exit assertion or blocked task | Work cannot currently leave its workstation; inspect `blocked_reasons` |
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| **stalled** | Derived — `updated_at` > 7 days ago, has both done and open tasks | Work started but activity has stopped; needs a nudge |
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| **oldies** | Derived — `created_at` > 7 days ago, zero done tasks | Workstream is old and nothing has been completed yet; may need re-evaluation |
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---
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## The acceptance quality gate
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When a workstream reaches **finished** (all tasks done), the custodian's role is to:
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1. Review the deliverables against the workstream's stated purpose and scope
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2. Check for missing tests, documentation, or follow-up issues
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3. Create tasks for any gaps found — this moves the workstream back to **active**
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4. Once satisfied, advance to the `completed` workstation — this marks it as **accepted**
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This pattern ensures that "done" and "accepted" are distinct signals.
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`finished` is a fact about task counts; `accepted` is a statement of quality.
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Normal progression:
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```text
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backlog -> proposed -> ready -> active -> finished -> archived
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\ \
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\ -> blocked -> active
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-> backlog
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```
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# Inspect and accept a workstream via MCP
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get_flow_state(entity_type="workstream", entity_id="<uuid>")
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advance_workstation(entity_type="workstream", entity_id="<uuid>", target_workstation="completed")
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# Or via REST
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---
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## Health Labels
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| Label | Source | Meaning |
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|---|---|---|
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| **needs_review** | Ready-review metadata + git diff | A `ready` workplan may be stale because relevant files changed since review |
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| **stalled** | Task counts + timestamp | Work started, but there has been no meaningful progress after the threshold |
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`needs_review` and `stalled` can appear beside lifecycle states. They should
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not be written into workplan frontmatter or directly into the workstream
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`status` field.
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---
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## Ready Review Metadata
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Ready workplans may include optional frontmatter:
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```yaml
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reviewed_at: "YYYY-MM-DD"
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reviewed_by: "human-or-agent"
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reviewed_against_commit: "<git-sha>"
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context_paths:
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- "path/or/glob"
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```
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If `reviewed_against_commit` differs from `HEAD`, State Hub checks
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`context_paths` when present. Relevant changes produce the derived
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`needs_review` label. Automatic demotion from `ready` to `proposed` is guarded
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behind explicit tooling, not done silently.
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---
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## Flow Operations
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```text
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get_flow_state(entity_type="workstream", entity_id="<uuid>")
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advance_workstation(entity_type="workstream", entity_id="<uuid>", target_workstation="finished")
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```
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Direct status patching still exists for bootstrap and compatibility work:
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```bash
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curl -X PATCH http://127.0.0.1:8000/workstreams/<uuid>/ \
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-H "Content-Type: application/json" \
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-d '{"status": "completed"}'
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-d '{"status": "finished"}'
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```
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---
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## Time-based filters
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The chart also supports time-window filters that cut across all lifecycle states:
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| Filter | Shows workstreams where… |
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|---|---|
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| **last 1 hour** | `updated_at` or `created_at` within the last 60 minutes |
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| **last 24 hours** | … within the last 24 hours |
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| **last 7 days** | … within the last 7 days |
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| **last 30 days** | … within the last 30 days |
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| **today** | … since midnight today |
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| **this week** | … since Monday of the current week |
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| **this month** | … since the 1st of the current month |
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In time-based views, workstream labels are **bold** for accepted and blocked
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workstreams to distinguish notable states at a glance.
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---
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## Stored Label Vs. Dashboard State
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The DB stores a single `status` field on each workstream. Treat it as the
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current workstation label. The dashboard maps this alongside flow-engine
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results, dependency assertions, and task-count data to produce the richer set
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of filter states:
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| Dashboard state | Stored label / derived source | Condition |
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|---|---|---|
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| active | `status = active` | — |
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| accepted | `status = completed` | — |
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| finished | task counts | `todo + in_progress + blocked = 0` |
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| blocked | flow result / task counts | `exit_blocked = true` or `blocked ≥ 1` |
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| stalled | task counts + timestamp | `done ≥ 1` and `open ≥ 1` and `updated_at > 7d ago` |
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| oldies | task counts + timestamp | `done = 0` and `open ≥ 1` and `created_at > 7d ago` |
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*Workstreams are never hard-deleted — use `advance_workstation(...,
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"completed")` or advance/patch to `"archived"` to close them without losing
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history.*
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Workstreams are never hard-deleted. Use `finished` for completed
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implementation and `archived` for historical records outside normal planning.
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