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FabledScribe/src/scribe/services/dashboard.py
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refactor(scribe): retire calendar/events + person/place/list entities (backend)
Narrow Scribe to a Claude-Code work system-of-record (milestone #194,
decision note #1759). Wholesale removal per rule #22 — backend + schema half.

Calendar/events + CalDAV: delete models/event, services/{events,caldav,
caldav_sync}, routes/events, mcp/tools/events; strip event branches from
backup (bump v3->v4), dashboard (upcoming_events), trash, recent, and the
mcp server read-only allowlist + instructions.

Typed entities (person/place/list): delete mcp/tools/entities; drop the
notes.metadata (entity_meta) column from model/service/routes and the
knowledge browse service. note_type STAYS — it also marks 'process' notes.

Scheduler: event_scheduler -> recurrence_scheduler, keeping only the
recurring-task spawn job (drops event reminders + CalDAV sync).

Schema: migration 0069 drops the events table + notes.metadata column +
orphan caldav settings rows (faithful downgrade recreates them).

KEEP: recurrence.py (task recurrence), notifications task reminders, graph
view, and every work surface. Frontend + plugin/docs true-up follow next.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BPtbSzA4JLMAKgFZ8VTg7Q
2026-07-19 13:29:14 -04:00

192 lines
7.9 KiB
Python

"""Dashboard aggregation — assembles the /dashboard landing payload.
One call: most-recently-active projects (each -> active milestones -> open
tasks), recently-completed tasks, week stats. Owner-scoped,
trashed rows excluded. Each section is independent — a failure returns its
empty value rather than blanking the page.
"""
from __future__ import annotations
import logging
from datetime import datetime, timedelta, timezone
from sqlalchemy import case, func, select
from scribe.models import async_session
from scribe.models.note import Note
from scribe.models.project import Project
from scribe.models.milestone import Milestone
from scribe.services import milestones as milestones_svc
logger = logging.getLogger(__name__)
N_PROJECTS = 3 # most-recently-active projects shown
TASKS_PER_GROUP = 5 # open-task cap per milestone / no-milestone group
RECENT_DONE_LIMIT = 8 # recently-completed tasks shown
OPEN_ISSUES_LIMIT = 10 # open issues shown on the dashboard
WINDOW_DAYS = 7 # look-back window (done items, week stats)
_OPEN = ["todo", "in_progress"]
def _open_order():
"""in-progress first -> priority high..none -> most-recently-updated."""
status_rank = case((Note.status == "in_progress", 0), else_=1)
priority_rank = case(
(Note.priority == "high", 0), (Note.priority == "medium", 1),
(Note.priority == "low", 2), else_=3,
)
return status_rank, priority_rank, Note.updated_at.desc()
def _task_row(n: Note) -> dict:
return {"id": n.id, "title": n.title, "status": n.status,
"priority": n.priority or "none"}
async def _safe(coro, empty):
try:
return await coro
except Exception:
logger.warning("dashboard section failed", exc_info=True)
return empty
async def _open_issues(user_id: int) -> list[dict]:
"""Open issues (task_kind='issue', not done/cancelled) across the owner's
projects, ranked like the other task lists. Owner-scoped, matching the rest
of the dashboard."""
async with async_session() as session:
rows = await session.execute(
select(
Note.id, Note.title, Note.status, Note.priority,
Note.project_id, Project.title,
)
.join(Project, Project.id == Note.project_id, isouter=True)
.where(
Note.user_id == user_id,
Note.task_kind == "issue",
Note.status.in_(_OPEN),
Note.deleted_at.is_(None),
)
.order_by(*_open_order())
.limit(OPEN_ISSUES_LIMIT)
)
return [
{
"id": iid, "title": title, "status": status,
"priority": priority or "none",
"project_id": pid, "project_title": pname,
}
for iid, title, status, priority, pid, pname in rows.fetchall()
]
async def build_dashboard(user_id: int) -> dict:
return {
"active_projects": await _safe(_active_projects(user_id), []),
"recently_completed": await _safe(_recently_completed(user_id), []),
"open_issues": await _safe(_open_issues(user_id), []),
"week_stats": await _safe(_week_stats(user_id), {}),
}
async def _active_projects(user_id: int) -> list[dict]:
so, po, ro = _open_order()
async with async_session() as session:
recency = (
select(Note.project_id, func.max(Note.updated_at).label("last"))
.where(Note.user_id == user_id, Note.deleted_at.is_(None),
Note.project_id.isnot(None))
.group_by(Note.project_id).subquery()
)
prows = (await session.execute(
select(Project, recency.c.last)
.outerjoin(recency, Project.id == recency.c.project_id)
.where(Project.user_id == user_id, Project.status == "active",
Project.deleted_at.is_(None))
.order_by(func.coalesce(recency.c.last, Project.updated_at).desc())
.limit(N_PROJECTS)
)).all()
out = []
for project, last in prows:
counts = (await session.execute(
select(
func.count(Note.id).filter(Note.status.in_(_OPEN)),
func.count(Note.id).filter(Note.status == "done"),
func.count(Note.id).filter(Note.status.in_(_OPEN + ["done"])),
).where(Note.user_id == user_id, Note.project_id == project.id,
Note.deleted_at.is_(None))
)).one()
open_count, done_count, resolved_total = counts
progress_pct = round(done_count / resolved_total * 100, 1) if resolved_total else 0.0
mrows = (await session.execute(
select(Milestone).where(
Milestone.user_id == user_id, Milestone.project_id == project.id,
Milestone.status == "active", Milestone.deleted_at.is_(None))
.order_by(Milestone.order_index.asc())
)).scalars().all()
milestones = []
for m in mrows:
tasks = (await session.execute(
select(Note).where(
Note.user_id == user_id, Note.milestone_id == m.id,
Note.status.in_(_OPEN), Note.deleted_at.is_(None))
.order_by(so, po, ro).limit(TASKS_PER_GROUP)
)).scalars().all()
if not tasks:
continue
prog = await milestones_svc.get_milestone_progress(m.id)
milestones.append({
"id": m.id, "title": m.title, "progress_pct": prog["pct"],
"open_tasks": [_task_row(t) for t in tasks],
})
no_ms = (await session.execute(
select(Note).where(
Note.user_id == user_id, Note.project_id == project.id,
Note.milestone_id.is_(None), Note.status.in_(_OPEN),
Note.deleted_at.is_(None))
.order_by(so, po, ro).limit(TASKS_PER_GROUP)
)).scalars().all()
out.append({
"id": project.id, "title": project.title, "color": project.color,
"last_activity": (last or project.updated_at).isoformat(),
"open_count": open_count, "done_count": done_count,
"progress_pct": progress_pct,
"milestones": milestones,
"no_milestone": [_task_row(t) for t in no_ms],
})
return out
async def _recently_completed(user_id: int) -> list[dict]:
cutoff = datetime.now(timezone.utc) - timedelta(days=WINDOW_DAYS)
async with async_session() as session:
rows = (await session.execute(
select(Note, Project.title)
.outerjoin(Project, Note.project_id == Project.id)
.where(Note.user_id == user_id, Note.status == "done",
Note.deleted_at.is_(None), Note.completed_at.isnot(None),
Note.completed_at >= cutoff)
.order_by(Note.completed_at.desc()).limit(RECENT_DONE_LIMIT)
)).all()
return [{"id": n.id, "title": n.title, "project_title": ptitle,
"completed_at": n.completed_at.isoformat()} for n, ptitle in rows]
async def _week_stats(user_id: int) -> dict:
cutoff = datetime.now(timezone.utc) - timedelta(days=WINDOW_DAYS)
async with async_session() as session:
row = (await session.execute(
select(
func.count(Note.id).filter(Note.status == "done", Note.completed_at >= cutoff),
func.count(Note.id).filter(Note.status.in_(_OPEN)),
func.count(Note.id).filter(Note.status == "in_progress"),
func.count(Note.id).filter(Note.task_kind == "plan", Note.status.in_(_OPEN)),
).where(Note.user_id == user_id, Note.deleted_at.is_(None))
)).one()
return {"completed_this_week": row[0], "open_total": row[1],
"in_progress": row[2], "active_plans": row[3]}