Files
state-hub/api/routers/state.py
tegwick f34b49ebde Implement State Hub v0.2: dependency graph, next-steps suggestions, design boundary
S0 — Design boundary formalised across all integration surfaces:
- TOOLS.md restructured with Design Boundary section, Sanctioned Write Tools,
  and Bootstrap-Only Tools (create_workstream, create_task) with explicit note
- project_claude_md.template and railiance CLAUDE.md updated with boundary note
  and get_next_steps() in session start protocol
- Global ~/.claude/CLAUDE.md updated accordingly

S1 — Workstream dependency graph:
- WorkstreamDependency model (directed edge, CASCADE on delete, unique pair constraint)
- Alembic migration 0b547c153153; script.py.mako added (was missing)
- REST API: POST/GET /workstreams/{id}/dependencies/, DELETE …/{dep_id} (hard delete)
- StateSummary open_workstreams enriched with depends_on/blocks lists
- MCP tools: create_dependency(), list_dependencies()
- Dashboard workstreams page: Dependencies section with relationship cards
- Seeded: custodian-agent-runtime → llm-shared-library + phase-0-operational-baseline

S2 — Suggesting Next Steps (sanctioned write use case #2):
- GET /state/next_steps derives suggestions from recently resolved decisions
  (→ first open task in same workstream) and cleared dependencies
  (→ first todo task in now-unblocked workstream)
- StateSummary.next_steps included on every summary call
- MCP tool: get_next_steps()
- Dashboard: "What's next?" card grid above Registered Projects

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-25 23:33:14 +01:00

331 lines
13 KiB
Python

from datetime import datetime, timedelta, timezone
from fastapi import APIRouter, Depends
from fastapi.responses import JSONResponse
from sqlalchemy import func, select, text
from sqlalchemy.ext.asyncio import AsyncSession
from api.database import get_session, engine
from api.models.decision import Decision, DecisionStatus, DecisionType
from api.models.progress_event import ProgressEvent
from api.models.task import Task, TaskPriority, TaskStatus
from api.models.topic import Topic, TopicStatus
from api.models.workstream import Workstream, WorkstreamStatus
from api.models.workstream_dependency import WorkstreamDependency
from api.schemas.decision import DecisionRead
from api.schemas.progress_event import ProgressEventRead
from api.schemas.state import (
DecisionTotals,
NextStep,
StateSummary,
TaskTotals,
Totals,
TopicTotals,
WorkstreamTotals,
)
from api.schemas.task import TaskRead
from api.schemas.topic import TopicWithWorkstreams
from api.schemas.workstream import WorkstreamRead, WorkstreamWithTaskCounts, WorkstreamWithDeps
from api.schemas.workstream_dependency import WorkstreamDepStub
router = APIRouter(prefix="/state", tags=["state"])
@router.get("/summary", response_model=StateSummary)
async def get_summary(session: AsyncSession = Depends(get_session)) -> StateSummary:
# Run all queries sequentially on one session.
# AsyncSession does not support concurrent operations (no gather on same session).
topics_rows = await session.execute(
select(Topic).where(Topic.status != TopicStatus.archived).order_by(Topic.created_at)
)
topics = list(topics_rows.scalars().all())
blocking_rows = await session.execute(
select(Decision)
.where(Decision.decision_type == DecisionType.pending)
.where(Decision.status.in_([DecisionStatus.open, DecisionStatus.escalated]))
.order_by(Decision.deadline.asc().nullslast(), Decision.created_at)
)
blocking = list(blocking_rows.scalars().all())
blocked_rows = await session.execute(
select(Task).where(Task.status == TaskStatus.blocked).order_by(Task.created_at)
)
blocked = list(blocked_rows.scalars().all())
recent_rows = await session.execute(
select(ProgressEvent).order_by(ProgressEvent.created_at.desc()).limit(20)
)
recent = list(recent_rows.scalars().all())
open_ws_rows = await session.execute(
select(Workstream)
.where(Workstream.status.in_([WorkstreamStatus.active, WorkstreamStatus.blocked]))
.order_by(Workstream.due_date.asc().nullslast(), Workstream.created_at)
)
open_ws = list(open_ws_rows.scalars().all())
# Task counts per workstream (used to enrich open_workstreams)
task_per_ws: dict = {}
for ws_id, tstat, cnt in await session.execute(
select(Task.workstream_id, Task.status, func.count()).group_by(Task.workstream_id, Task.status)
):
task_per_ws.setdefault(ws_id, {})[tstat] = cnt
# Dependency graph for open workstreams
open_ws_ids = [w.id for w in open_ws]
dep_rows = []
if open_ws_ids:
dep_result = await session.execute(
select(WorkstreamDependency).where(
(WorkstreamDependency.from_workstream_id.in_(open_ws_ids))
| (WorkstreamDependency.to_workstream_id.in_(open_ws_ids))
)
)
dep_rows = list(dep_result.scalars().all())
# Build a slug+title lookup for all workstreams referenced in deps
dep_ws_ids = set()
for d in dep_rows:
dep_ws_ids.add(d.from_workstream_id)
dep_ws_ids.add(d.to_workstream_id)
ws_lookup: dict = {w.id: w for w in open_ws}
extra_ids = dep_ws_ids - set(ws_lookup.keys())
if extra_ids:
extra_rows = await session.execute(
select(Workstream).where(Workstream.id.in_(extra_ids))
)
for w in extra_rows.scalars():
ws_lookup[w.id] = w
# Index: workstream_id → (depends_on stubs, blocks stubs)
dep_index: dict = {w.id: {"depends_on": [], "blocks": []} for w in open_ws}
for d in dep_rows:
from_id, to_id = d.from_workstream_id, d.to_workstream_id
if from_id in dep_index and to_id in ws_lookup:
dep_index[from_id]["depends_on"].append(WorkstreamDepStub(
dep_id=d.id,
workstream_id=to_id,
workstream_slug=ws_lookup[to_id].slug,
workstream_title=ws_lookup[to_id].title,
description=d.description,
))
if to_id in dep_index and from_id in ws_lookup:
dep_index[to_id]["blocks"].append(WorkstreamDepStub(
dep_id=d.id,
workstream_id=from_id,
workstream_slug=ws_lookup[from_id].slug,
workstream_title=ws_lookup[from_id].title,
description=d.description,
))
# Totals — one GROUP BY per table
topic_counts = {r[0]: r[1] for r in await session.execute(
select(Topic.status, func.count()).group_by(Topic.status)
)}
ws_counts = {r[0]: r[1] for r in await session.execute(
select(Workstream.status, func.count()).group_by(Workstream.status)
)}
task_counts = {r[0]: r[1] for r in await session.execute(
select(Task.status, func.count()).group_by(Task.status)
)}
dec_counts = {r[0]: r[1] for r in await session.execute(
select(Decision.status, func.count()).group_by(Decision.status)
)}
totals = Totals(
topics=TopicTotals(
active=topic_counts.get(TopicStatus.active, 0),
paused=topic_counts.get(TopicStatus.paused, 0),
archived=topic_counts.get(TopicStatus.archived, 0),
total=sum(topic_counts.values()),
),
workstreams=WorkstreamTotals(
active=ws_counts.get(WorkstreamStatus.active, 0),
blocked=ws_counts.get(WorkstreamStatus.blocked, 0),
completed=ws_counts.get(WorkstreamStatus.completed, 0),
archived=ws_counts.get(WorkstreamStatus.archived, 0),
total=sum(ws_counts.values()),
),
tasks=TaskTotals(
todo=task_counts.get(TaskStatus.todo, 0),
in_progress=task_counts.get(TaskStatus.in_progress, 0),
blocked=task_counts.get(TaskStatus.blocked, 0),
done=task_counts.get(TaskStatus.done, 0),
cancelled=task_counts.get(TaskStatus.cancelled, 0),
total=sum(task_counts.values()),
),
decisions=DecisionTotals(
open=dec_counts.get(DecisionStatus.open, 0),
resolved=dec_counts.get(DecisionStatus.resolved, 0),
escalated=dec_counts.get(DecisionStatus.escalated, 0),
superseded=dec_counts.get(DecisionStatus.superseded, 0),
total=sum(dec_counts.values()),
),
)
next_steps = await _derive_next_steps(session)
return StateSummary(
generated_at=datetime.now(tz=timezone.utc),
totals=totals,
topics=[TopicWithWorkstreams.model_validate(t) for t in topics],
blocking_decisions=[DecisionRead.model_validate(d) for d in blocking],
blocked_tasks=[TaskRead.model_validate(t) for t in blocked],
recent_progress=[ProgressEventRead.model_validate(e) for e in recent],
next_steps=next_steps,
open_workstreams=[
WorkstreamWithDeps(
**WorkstreamRead.model_validate(w).model_dump(),
tasks_total=sum(task_per_ws.get(w.id, {}).values()),
tasks_todo=task_per_ws.get(w.id, {}).get(TaskStatus.todo, 0),
tasks_in_progress=task_per_ws.get(w.id, {}).get(TaskStatus.in_progress, 0),
tasks_blocked=task_per_ws.get(w.id, {}).get(TaskStatus.blocked, 0),
tasks_done=task_per_ws.get(w.id, {}).get(TaskStatus.done, 0),
depends_on=dep_index.get(w.id, {}).get("depends_on", []),
blocks=dep_index.get(w.id, {}).get("blocks", []),
)
for w in open_ws
],
)
_PRIORITY_RANK = {
TaskPriority.critical: 0,
TaskPriority.high: 1,
TaskPriority.medium: 2,
TaskPriority.low: 3,
}
async def _derive_next_steps(session: AsyncSession) -> list[NextStep]:
"""Derive contextual next-action suggestions from current hub state.
Two signal sources:
1. Recently resolved decisions (last 7 days) → first open task in same workstream
2. Workstreams whose every dependency is now completed → first todo task in that workstream
"""
steps: list[NextStep] = []
seen_task_ids: set = set()
# ── Signal 1: recently resolved decisions ────────────────────────────────
cutoff = datetime.now(tz=timezone.utc) - timedelta(days=7)
resolved_rows = await session.execute(
select(Decision)
.where(Decision.status == DecisionStatus.resolved)
.where(Decision.decided_at >= cutoff)
.where(Decision.workstream_id.isnot(None))
.order_by(Decision.decided_at.desc())
)
for decision in resolved_rows.scalars().all():
open_tasks_rows = await session.execute(
select(Task)
.where(Task.workstream_id == decision.workstream_id)
.where(Task.status.in_([TaskStatus.todo, TaskStatus.in_progress]))
)
open_tasks = list(open_tasks_rows.scalars().all())
if not open_tasks:
continue
task = min(open_tasks, key=lambda t: (_PRIORITY_RANK.get(t.priority, 99), t.created_at))
if task.id in seen_task_ids:
continue
ws = await session.get(Workstream, decision.workstream_id)
topic = await session.get(Topic, ws.topic_id) if ws else None
steps.append(NextStep(
type="resolved_decision",
domain=topic.domain if topic else None,
workstream_id=ws.id if ws else None,
workstream_title=ws.title if ws else None,
workstream_slug=ws.slug if ws else None,
task_id=task.id,
task_title=task.title,
message=(
f"Decision '{decision.title}' was resolved → "
f"'{task.title}' is the next open task in '{ws.title if ws else '?'}'"
),
))
seen_task_ids.add(task.id)
# ── Signal 2: cleared dependencies ──────────────────────────────────────
all_dep_rows = await session.execute(select(WorkstreamDependency))
all_deps = list(all_dep_rows.scalars().all())
# Group from_workstream_id → set of to_workstream_ids
dep_map: dict = {}
for d in all_deps:
dep_map.setdefault(d.from_workstream_id, set()).add(d.to_workstream_id)
for from_ws_id, to_ws_ids in dep_map.items():
# All targets must be completed
all_done = True
for to_id in to_ws_ids:
to_ws = await session.get(Workstream, to_id)
if to_ws is None or to_ws.status != WorkstreamStatus.completed:
all_done = False
break
if not all_done:
continue
from_ws = await session.get(Workstream, from_ws_id)
if from_ws is None or from_ws.status not in (WorkstreamStatus.active, WorkstreamStatus.blocked):
continue
todo_rows = await session.execute(
select(Task)
.where(Task.workstream_id == from_ws_id)
.where(Task.status == TaskStatus.todo)
)
todo_tasks = list(todo_rows.scalars().all())
if not todo_tasks:
continue
task = min(todo_tasks, key=lambda t: (_PRIORITY_RANK.get(t.priority, 99), t.created_at))
if task.id in seen_task_ids:
continue
topic = await session.get(Topic, from_ws.topic_id)
blocker_slugs = ", ".join(
(await session.get(Workstream, tid)).slug
for tid in to_ws_ids
if await session.get(Workstream, tid)
)
steps.append(NextStep(
type="dependency_cleared",
domain=topic.domain if topic else None,
workstream_id=from_ws.id,
workstream_title=from_ws.title,
workstream_slug=from_ws.slug,
task_id=task.id,
task_title=task.title,
message=(
f"All dependencies of '{from_ws.title}' are completed ({blocker_slugs}) → "
f"'{task.title}' is ready to start"
),
))
seen_task_ids.add(task.id)
return steps
@router.get("/next_steps", response_model=list[NextStep])
async def get_next_steps(session: AsyncSession = Depends(get_session)) -> list[NextStep]:
"""Derive contextual next-action suggestions from current hub state.
Returns suggestions based on:
- Recently resolved decisions → first open task in the same workstream
- Workstreams whose every dependency workstream is now completed → first todo task
"""
return await _derive_next_steps(session)
@router.get("/health")
async def health_check() -> dict:
try:
async with engine.connect() as conn:
await conn.execute(text("SELECT 1"))
return {"status": "ok", "db": "connected"}
except Exception as exc:
return JSONResponse(
status_code=503,
content={"status": "error", "db": str(exc)},
)