refactor(briefing)!: remove legacy one-shot synthesis, agentic-only

Deletes ~760 lines of legacy briefing code: format_task, compute_task_hash,
upsert_task_snapshots, _gather_internal, _gather_weekly_review,
_llm_synthesise, and the unified prompt helpers. run_compilation and
run_slot_injection are now agentic-tool-use-loop only.

briefing_scheduler and user_profile migrated from the deleted helper to
services.llm.generate_completion (retry + keep_alive baked in).

routes/briefing.manual_trigger now persists agentic tool-call receipts
via _persist_agentic_messages (previously silently dropped them) and
adds POST /api/briefing/reset-today to wipe today's briefing messages.

BREAKING: briefing_mode setting no longer honored; no legacy fallback.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-04-10 20:42:42 -04:00
parent 66f906a629
commit 9eba6ac107
4 changed files with 87 additions and 785 deletions
+24 -780
View File
@@ -1,19 +1,14 @@
"""
Briefing pipeline: parallel data gather + two-lane LLM synthesis.
Briefing pipeline: agentic tool-use loop + UI metadata gather.
Slot names: 'compilation' (4am), 'morning' (8am), 'midday' (12pm), 'afternoon' (4pm)
"""
import asyncio
import hashlib
import logging
from datetime import datetime, timezone
from datetime import datetime
from zoneinfo import ZoneInfo, ZoneInfoNotFoundError
import httpx
from fabledassistant.models import async_session
from fabledassistant.config import Config
from fabledassistant.services.settings import get_setting
@@ -22,421 +17,6 @@ logger = logging.getLogger(__name__)
SLOT_NAMES = ("compilation", "morning", "midday", "afternoon")
def format_task(task: dict, today: str | None = None) -> str:
parts = [task.get("title", "Untitled")]
if task.get("status"):
parts.append(f"[{task['status'].replace('_', ' ').title()}]")
if task.get("due_date"):
parts.append(f"due {task['due_date']}")
if today and task["due_date"] < today and task.get("status") not in ("done", "cancelled"):
from datetime import date
try:
due = date.fromisoformat(task["due_date"])
td = date.fromisoformat(today)
days = (td - due).days
parts.append(f"({days} day{'s' if days != 1 else ''} overdue)")
except ValueError:
pass
if task.get("priority") and task["priority"] not in ("none", ""):
parts.append(f"priority: {task['priority']}")
if task.get("project_title"):
parts.append(f"project: {task['project_title']}")
return "".join(parts)
def compute_task_hash(task: dict) -> str:
"""Stable SHA-256 of the task's key change-detectable fields."""
key = "|".join([
str(task.get("status") or ""),
str(task.get("priority") or ""),
str(task.get("due_date") or ""),
str(task.get("title") or ""),
])
return hashlib.sha256(key.encode()).hexdigest()
async def split_changed_tasks(
user_id: int,
tasks: list[dict],
) -> tuple[list[dict], int]:
"""
Compare tasks against the briefing_task_snapshot table.
Returns (changed_tasks, unchanged_count).
changed_tasks includes new tasks (no snapshot row) and tasks whose hash differs.
"""
from sqlalchemy import text
if not tasks:
return [], 0
task_ids = [t["task_id"] for t in tasks if t.get("task_id")]
async with async_session() as session:
result = await session.execute(
text("""
SELECT task_id, snapshot_hash
FROM briefing_task_snapshot
WHERE user_id = :uid AND task_id = ANY(:ids)
""").bindparams(uid=user_id, ids=task_ids)
)
snapshots = {row.task_id: row.snapshot_hash for row in result}
changed = []
unchanged_count = 0
for task in tasks:
current_hash = compute_task_hash(task)
stored_hash = snapshots.get(task.get("task_id"))
if stored_hash is None or stored_hash != current_hash:
changed.append(task)
else:
unchanged_count += 1
return changed, unchanged_count
async def upsert_task_snapshots(user_id: int, tasks: list[dict]) -> None:
"""Upsert snapshot hashes for all tasks included in this briefing."""
from sqlalchemy import text
if not tasks:
return
now = datetime.now(timezone.utc)
async with async_session() as session:
for task in tasks:
task_id = task.get("task_id")
if not task_id:
continue
await session.execute(
text("""
INSERT INTO briefing_task_snapshot (user_id, task_id, snapshot_hash, last_briefed)
VALUES (:uid, :tid, :hash, :now)
ON CONFLICT (user_id, task_id)
DO UPDATE SET snapshot_hash = EXCLUDED.snapshot_hash,
last_briefed = EXCLUDED.last_briefed
""").bindparams(
uid=user_id,
tid=task_id,
hash=compute_task_hash(task),
now=now,
)
)
await session.commit()
# ── Internal data gather ──────────────────────────────────────────────────────
async def _gather_internal(user_id: int) -> dict:
"""Collect tasks, calendar events, and project data."""
from fabledassistant.services.notes import list_notes
from fabledassistant.services.projects import list_projects
from fabledassistant.services.caldav import is_caldav_configured, list_events
tz_name = await get_setting(user_id, "user_timezone") or "UTC"
try:
user_tz = ZoneInfo(tz_name)
except ZoneInfoNotFoundError:
user_tz = ZoneInfo("UTC")
today = datetime.now(user_tz).date().isoformat()
# Tasks: overdue, due today, high priority in-progress
all_tasks: list[dict] = []
try:
all_task_objs, _total = await list_notes(user_id, is_task=True, limit=100)
# Build project title lookup for enrichment
project_titles: dict[int, str] = {}
try:
for p in await list_projects(user_id):
project_titles[p.id] = p.title or "Untitled"
except Exception:
pass
all_tasks = [
{
"task_id": t.id,
"title": t.title,
"status": t.status,
"due_date": t.due_date.isoformat() if t.due_date else None,
"priority": t.priority,
"project_title": project_titles.get(t.project_id) if t.project_id else None,
}
for t in all_task_objs
]
overdue = [
format_task(t, today) for t in all_tasks
if t.get("due_date") and t["due_date"] < today and t.get("status") not in ("done", "cancelled")
]
due_today = [
format_task(t, today) for t in all_tasks
if t.get("due_date") == today and t.get("status") not in ("done", "cancelled")
]
high_priority = [
format_task(t, today) for t in all_tasks
if t.get("priority") == "high" and t.get("status") not in ("done", "cancelled") and
format_task(t, today) not in overdue and format_task(t, today) not in due_today
][:5]
except Exception:
logger.warning("Failed to gather tasks for briefing", exc_info=True)
overdue, due_today, high_priority = [], [], []
# Calendar events today — internal store
calendar_events: list[str] = []
internal_events: list[dict] = []
try:
from fabledassistant.services.events import list_events as list_internal_events
today_date = datetime.now(user_tz).date()
day_start = datetime(today_date.year, today_date.month, today_date.day, 0, 0, 0, tzinfo=user_tz)
day_end = datetime(today_date.year, today_date.month, today_date.day, 23, 59, 59, tzinfo=user_tz)
internal_events = await list_internal_events(
user_id=user_id, date_from=day_start, date_to=day_end
)
for e in internal_events:
if e.get("all_day"):
time_str = "all day"
elif e.get("start_dt"):
from datetime import datetime as _dt
start = e["start_dt"]
if isinstance(start, str):
start = _dt.fromisoformat(start)
local_dt = start.astimezone(user_tz) if start.tzinfo else start.replace(tzinfo=timezone.utc).astimezone(user_tz)
time_str = local_dt.strftime("%-I:%M %p")
else:
time_str = "unknown time"
calendar_events.append(f"{e.get('title', 'Event')} at {time_str}")
except Exception:
logger.warning("Failed to gather internal calendar events for briefing", exc_info=True)
# Also pull CalDAV events (deduped)
try:
if await is_caldav_configured(user_id):
caldav_evs = await list_events(user_id, start=today, end=today)
for e in (caldav_evs or []):
summary = f"{e.get('summary', 'Event')} at {e.get('dtstart', 'unknown time')}"
if summary not in calendar_events:
calendar_events.append(summary)
except Exception:
logger.warning("Failed to gather CalDAV calendar events for briefing", exc_info=True)
# Weather × calendar cross-reference
weather_warnings: list[str] = []
outdoor_keywords = {"park", "field", "patio", "garden", "outdoor", "trail", "beach",
"pool", "stadium", "yard", "lawn", "hike", "walk", "run", "bike",
"soccer", "baseball", "football", "tennis", "golf", "playground"}
try:
import json as _json
raw_config = await get_setting(user_id, "briefing_config", "{}")
config = _json.loads(raw_config) if isinstance(raw_config, str) else (raw_config or {})
locations = config.get("locations", {})
loc = locations.get("home") or locations.get("work")
if loc and loc.get("lat") and loc.get("lon") and internal_events:
from fabledassistant.services.weather import fetch_hourly_precip
hourly_precip = await fetch_hourly_precip(loc["lat"], loc["lon"])
if hourly_precip:
for e in internal_events:
if e.get("all_day"):
continue
# Check if event title or location contains outdoor keywords
event_text = f"{e.get('title', '')} {e.get('location', '')}".lower()
if not any(kw in event_text for kw in outdoor_keywords):
continue
# Get the event's start hour
start = e.get("start_dt")
if not start:
continue
from datetime import datetime as _dt
if isinstance(start, str):
start = _dt.fromisoformat(start)
local_start = start.astimezone(user_tz) if start.tzinfo else start.replace(tzinfo=timezone.utc).astimezone(user_tz)
# Check precip probability around the event time (hour before through event)
hour_key = local_start.strftime("%Y-%m-%dT%H:00")
precip = hourly_precip.get(hour_key, 0)
if precip >= 30:
time_str = local_start.strftime("%-I:%M %p")
weather_warnings.append(
f"Rain likely ({precip}%) around {time_str} when '{e.get('title', 'Event')}' "
f"is scheduled — consider an umbrella or backup plan"
)
except Exception:
logger.debug("Weather cross-reference failed", exc_info=True)
# Recent activity — what was the user working on yesterday?
recent_activity: list[str] = []
stale_projects: list[str] = []
try:
from sqlalchemy import select as _sel, func as _func
from fabledassistant.models.note import Note
from fabledassistant.models.project import Project
yesterday = datetime.now(user_tz) - __import__('datetime').timedelta(days=1)
async with async_session() as session:
# Notes/tasks updated in last 24h, grouped by project
result = await session.execute(
_sel(Project.title, _func.count(Note.id))
.join(Note, Note.project_id == Project.id)
.where(Note.user_id == user_id)
.where(Note.updated_at >= yesterday)
.group_by(Project.title)
.order_by(_func.count(Note.id).desc())
.limit(3)
)
for proj_title, count in result.all():
recent_activity.append(f"{proj_title}: {count} item{'s' if count != 1 else ''} updated")
# Stale projects — active projects with no note/task activity in 7+ days
week_ago = datetime.now(user_tz) - __import__('datetime').timedelta(days=7)
active_projects_q = await session.execute(
_sel(Project).where(Project.user_id == user_id, Project.status == "active")
)
for p in active_projects_q.scalars().all():
latest = await session.execute(
_sel(_func.max(Note.updated_at))
.where(Note.project_id == p.id, Note.user_id == user_id)
)
last_activity = latest.scalar()
if last_activity is None or last_activity < week_ago:
stale_projects.append(p.title or "Untitled")
except Exception:
logger.debug("Failed to gather recent activity for briefing", exc_info=True)
# Projects: active projects
projects_summary = []
try:
projects = await list_projects(user_id)
for p in projects[:5]:
projects_summary.append(p.title or "Untitled project")
except Exception:
logger.warning("Failed to gather projects for briefing", exc_info=True)
# Build prioritized "Your Day" focus list
# Priority: overdue > due today > high priority in-progress > other in-progress
focus_tasks: list[str] = []
seen_titles: set[str] = set()
for t in sorted(all_tasks, key=lambda x: (
0 if (x.get("due_date") and x["due_date"] < today and x.get("status") not in ("done", "cancelled")) else
1 if (x.get("due_date") == today and x.get("status") not in ("done", "cancelled")) else
2 if (x.get("priority") == "high" and x.get("status") not in ("done", "cancelled")) else
3 if (x.get("status") == "in_progress") else 4
)):
if t.get("status") in ("done", "cancelled"):
continue
formatted = format_task(t, today)
if formatted not in seen_titles:
seen_titles.add(formatted)
focus_tasks.append(formatted)
if len(focus_tasks) >= 5:
break
# Calendar gap analysis — extract event times for LLM
event_time_blocks: list[str] = []
for e in internal_events:
try:
if e.get("all_day"):
continue
start = e.get("start_dt")
end = e.get("end_dt")
if not start:
continue
from datetime import datetime as _dt
if isinstance(start, str):
start = _dt.fromisoformat(start)
if isinstance(end, str):
end = _dt.fromisoformat(end)
s_local = start.astimezone(user_tz) if start.tzinfo else start.replace(tzinfo=timezone.utc).astimezone(user_tz)
s_str = s_local.strftime("%-I:%M %p")
if end:
e_local = end.astimezone(user_tz) if end.tzinfo else end.replace(tzinfo=timezone.utc).astimezone(user_tz)
e_str = e_local.strftime("%-I:%M %p")
event_time_blocks.append(f"{e.get('title', 'Event')}: {s_str}{e_str}")
else:
event_time_blocks.append(f"{e.get('title', 'Event')}: {s_str}?")
except Exception:
pass
return {
"date": today,
"overdue_tasks": overdue,
"due_today": due_today,
"high_priority": high_priority,
"calendar_events": calendar_events,
"active_projects": projects_summary,
"all_tasks_raw": all_tasks,
"focus_tasks": focus_tasks,
"event_time_blocks": event_time_blocks,
"weather_warnings": weather_warnings,
"recent_activity": recent_activity,
"stale_projects": stale_projects,
}
async def _gather_weekly_review(user_id: int) -> dict:
"""Collect 7-day activity summary for the weekly review."""
from fabledassistant.services.notes import list_notes
from fabledassistant.services.projects import list_projects
from fabledassistant.services.events import list_events as list_internal_events
tz_name = await get_setting(user_id, "user_timezone") or "UTC"
try:
user_tz = ZoneInfo(tz_name)
except ZoneInfoNotFoundError:
user_tz = ZoneInfo("UTC")
now = datetime.now(user_tz)
week_ago = now - __import__('datetime').timedelta(days=7)
next_week = now + __import__('datetime').timedelta(days=7)
# Tasks completed this week
completed_tasks = []
overdue_tasks = []
try:
all_task_objs, _ = await list_notes(user_id, is_task=True, limit=200)
for t in all_task_objs:
if t.status == "done" and t.completed_at and t.completed_at >= week_ago:
completed_tasks.append(t.title or "Untitled")
elif t.due_date and t.due_date.isoformat() < now.date().isoformat() and t.status not in ("done", "cancelled"):
overdue_tasks.append(t.title or "Untitled")
except Exception:
logger.debug("Weekly review: failed to gather tasks", exc_info=True)
# Notes created this week
notes_created = 0
try:
all_notes, _ = await list_notes(user_id, is_task=False, limit=200)
notes_created = sum(1 for n in all_notes if n.created_at and n.created_at >= week_ago)
except Exception:
logger.debug("Weekly review: failed to count notes", exc_info=True)
# Project activity
active_projects = []
try:
projects = await list_projects(user_id)
active_projects = [p.title for p in projects if p.status == "active"][:5]
except Exception:
pass
# Events next week
upcoming_events = []
try:
next_events = await list_internal_events(
user_id=user_id,
date_from=now,
date_to=next_week,
)
for e in next_events[:8]:
upcoming_events.append(f"{e.get('title', 'Event')}{e.get('start_dt', '')[:10]}")
except Exception:
pass
return {
"completed_count": len(completed_tasks),
"completed_highlights": completed_tasks[:5],
"overdue_count": len(overdue_tasks),
"overdue_items": overdue_tasks[:5],
"notes_created": notes_created,
"active_projects": active_projects,
"upcoming_events": upcoming_events,
}
# ── External data gather ──────────────────────────────────────────────────────
async def _gather_external(user_id: int) -> dict:
@@ -687,265 +267,6 @@ async def run_agentic_briefing(
return final_text, messages
# ── Legacy one-shot synthesis ─────────────────────────────────────────────────
async def _llm_synthesise(system_prompt: str, user_prompt: str, model: str, num_ctx: int = 4096) -> str:
"""Single non-streaming LLM call. Returns the assistant's response text."""
payload = {
"model": model,
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt},
],
"stream": False,
"options": {"num_ctx": num_ctx, "temperature": 0.4},
}
try:
async with httpx.AsyncClient(timeout=120.0) as client:
resp = await client.post(f"{Config.OLLAMA_URL}/api/chat", json=payload)
resp.raise_for_status()
data = resp.json()
return data.get("message", {}).get("content", "").strip()
except Exception:
logger.warning("LLM synthesis failed", exc_info=True)
return ""
def _unified_system_prompt(profile_body: str, slot: str = "compilation") -> str:
base = (
"You are a personal assistant. "
"Speak naturally and conversationally — as if talking to the user, not writing a report. "
"Use no markdown: no headers, no bullet points, no bold, no lists. Write in flowing prose. "
"Be warm, concise, and human. "
"The user can reply to act on your suggestions via tool calls.\n\n"
)
if slot == "compilation":
base += (
"This is the MORNING BRIEFING — the full daily overview. "
"Weave together what matters today: mention the weather, note calendar events and tasks, "
"briefly reference one or two noteworthy news themes, and suggest a daily focus. "
"Be actionable: for overdue or due-today tasks, suggest a concrete next step. "
"Aim for 4 to 8 sentences.\n\n"
)
elif slot in ("morning", "midday"):
base += (
"This is a MIDDAY CHECK-IN — brief progress nudge, not a full briefing. "
"Focus on what's been done and what hasn't been touched yet today. "
"If weather conditions have changed, mention it briefly. "
"Keep it to 2-3 sentences. Don't repeat news or the full task list.\n\n"
)
elif slot == "afternoon":
base += (
"This is the AFTERNOON WRAP-UP — help the user close out the day. "
"Summarize what was accomplished today. Flag anything still overdue. "
"Ask if there's anything to capture before tomorrow — notes, thoughts, follow-ups. "
"Keep it to 2-4 sentences. Reflective and encouraging tone.\n\n"
)
elif slot == "weekly_review":
base += (
"This is the WEEKLY REVIEW — a reflective recap of the past 7 days. "
"Summarize accomplishments, flag lingering overdue items, note how many notes were created, "
"and preview the upcoming week's key events. "
"Be reflective and encouraging — celebrate progress, gently flag what's stuck. "
"Aim for 5 to 8 sentences. This wraps up a chapter.\n\n"
)
if profile_body:
base += f"User profile:\n{profile_body}\n"
return base
def _unified_user_prompt(internal_data: dict, external_data: dict, slot: str, temp_unit: str = "C") -> str:
lines = [f"Date: {internal_data['date']}", f"Slot: {slot}", ""]
# Weekly review — separate data path
if slot == "weekly_review":
weekly = internal_data.get("weekly_review") or {}
lines.append(f"COMPLETED THIS WEEK: {weekly.get('completed_count', 0)} tasks")
if weekly.get("completed_highlights"):
lines.extend(f" - {t}" for t in weekly["completed_highlights"])
lines.append("")
if weekly.get("overdue_count", 0) > 0:
lines.append(f"STILL OVERDUE: {weekly['overdue_count']} task(s)")
lines.extend(f" - {t}" for t in weekly.get("overdue_items", []))
lines.append("")
lines.append(f"NOTES CREATED: {weekly.get('notes_created', 0)}")
lines.append("")
if weekly.get("active_projects"):
lines.append(f"ACTIVE PROJECTS: {', '.join(weekly['active_projects'])}")
lines.append("")
if weekly.get("upcoming_events"):
lines.append("UPCOMING WEEK:")
lines.extend(f" - {e}" for e in weekly["upcoming_events"])
lines.append("")
return "\n".join(lines)
# For check-in slots, build a slimmer prompt
if slot in ("morning", "midday"):
# Just tasks status + any weather changes
if internal_data.get("due_today"):
lines.append("TASKS DUE TODAY (note which are still untouched):")
lines.extend(f" - {t}" for t in internal_data["due_today"])
lines.append("")
if internal_data.get("overdue_tasks"):
lines.append(f"STILL OVERDUE: {len(internal_data['overdue_tasks'])} task(s)")
lines.append("")
if internal_data.get("calendar_events"):
lines.append("REMAINING EVENTS TODAY:")
lines.extend(f" - {e}" for e in internal_data["calendar_events"])
lines.append("")
return "\n".join(lines)
if slot == "afternoon":
if internal_data.get("due_today"):
lines.append("TASKS THAT WERE DUE TODAY:")
lines.extend(f" - {t}" for t in internal_data["due_today"])
lines.append("")
if internal_data.get("overdue_tasks"):
overdue = internal_data["overdue_tasks"]
lines.append(f"OVERDUE ({len(overdue)} remaining):")
lines.extend(f" - {t}" for t in overdue[:3])
lines.append("")
lines.append("Ask the user if there's anything to capture before tomorrow — a note, a thought, a follow-up task.")
return "\n".join(lines)
# ── Full compilation prompt below ──────────────────────────────────────────
# Weather (brief — card handles detail)
weather = external_data.get("weather") or []
if weather:
loc = weather[0]
days = loc.get("days") or []
if days:
d = days[0]
t_min = _format_temp(d["temp_min"], temp_unit)
t_max = _format_temp(d["temp_max"], temp_unit)
unit_sym = f"°{temp_unit}"
lines.append(
f"WEATHER: {loc['location_label']}{d['description']}, "
f"{t_min}{t_max}{unit_sym}"
)
lines.append("")
# Today's calendar events
if internal_data.get("calendar_events"):
lines.append("TODAY'S EVENTS:")
lines.extend(f" - {e}" for e in internal_data["calendar_events"])
lines.append("")
# Weather warnings for outdoor events
if internal_data.get("weather_warnings"):
lines.append("WEATHER ALERTS (mention these naturally when discussing affected events):")
lines.extend(f"{w}" for w in internal_data["weather_warnings"])
lines.append("")
# Tasks due today
if internal_data.get("due_today"):
lines.append("DUE TODAY (suggest next steps — offer to mark in progress or help prioritize):")
lines.extend(f" - {t}" for t in internal_data["due_today"])
lines.append("")
# Overdue tasks
if internal_data.get("overdue_tasks"):
overdue = internal_data["overdue_tasks"]
lines.append(f"OVERDUE ({len(overdue)} task{'s' if len(overdue) != 1 else ''}) — suggest rescheduling or breaking down:")
lines.extend(f" - {t}" for t in overdue[:5])
if len(overdue) > 5:
lines.append(f" (and {len(overdue) - 5} more)")
lines.append("")
# High priority in-progress
if internal_data.get("high_priority"):
lines.append("HIGH PRIORITY:")
lines.extend(f" - {t}" for t in internal_data["high_priority"])
lines.append("")
# Your Day — prioritized focus + calendar gaps (compilation slot only)
if internal_data.get("focus_tasks") and slot == "compilation":
lines.append("YOUR DAY — top tasks to focus on (mention these as a suggested plan):")
for i, t in enumerate(internal_data["focus_tasks"], 1):
lines.append(f" {i}. {t}")
if internal_data.get("event_time_blocks"):
lines.append("")
lines.append(" Scheduled time blocks:")
lines.extend(f" {b}" for b in internal_data["event_time_blocks"])
lines.append(" (Identify free blocks between events for focused work.)")
lines.append("")
# Project continuity — what was the user working on?
if internal_data.get("recent_activity") and slot == "compilation":
lines.append("YESTERDAY'S ACTIVITY (mention what the user was working on to help them pick up):")
lines.extend(f" - {a}" for a in internal_data["recent_activity"])
lines.append("")
if internal_data.get("stale_projects") and slot == "compilation":
lines.append("STALE PROJECTS (no activity in 7+ days — gently flag):")
lines.extend(f" - {p}" for p in internal_data["stale_projects"])
lines.append("")
# News — clustered by topic, ranked by preference score
rss = external_data.get("rss_items") or []
topic_scores = external_data.get("topic_scores") or {}
if rss:
# Group articles by their primary topic
clusters: dict[str, list[dict]] = {}
uncategorized: list[dict] = []
for item in rss:
topics = item.get("topics") or []
if topics:
primary = topics[0]
clusters.setdefault(primary, []).append(item)
else:
uncategorized.append(item)
# Score each cluster by aggregate preference (positive = user likes this topic)
def cluster_score(topic: str, items: list[dict]) -> float:
pref = topic_scores.get(topic, 0.0)
return pref * 2.0 + len(items) # preference-weighted, size as tiebreak
# Filter out clusters where the user has a strongly negative preference
filtered_clusters = [
(topic, items) for topic, items in clusters.items()
if topic_scores.get(topic, 0.0) >= -2.0
]
# Sort by preference-weighted score
sorted_clusters = sorted(filtered_clusters, key=lambda x: cluster_score(x[0], x[1]), reverse=True)
lines.append("NEWS THEMES (synthesize 1-2 themes into your briefing; mention article count per theme):")
for i, (topic, items) in enumerate(sorted_clusters[:4]):
count = len(items)
titles = [it.get("title", "") for it in items[:3]]
sources = list({it.get("feed_title") or it.get("source") or "News" for it in items})
pref_indicator = ""
pref = topic_scores.get(topic, 0.0)
if pref >= 2.0:
pref_indicator = "" # user's preferred topic
lines.append(f" [{topic.title()}]{pref_indicator} ({count} article{'s' if count != 1 else ''} from {', '.join(sources[:2])})")
for t in titles:
lines.append(f"{t}")
# Include excerpt for preferred clusters or the top cluster
if pref >= 1.0 or i == 0:
excerpt = (items[0].get("content") or items[0].get("snippet") or "")[:400].strip()
if excerpt:
lines.append(f" > {excerpt}")
if uncategorized:
lines.append(f" [Other] ({len(uncategorized)} uncategorized article{'s' if len(uncategorized) != 1 else ''})")
lines.append("")
return "\n".join(lines)
def _format_temp(value: float, unit: str) -> str:
"""Convert Celsius to the requested unit and format as an integer string."""
if unit == "F":
return f"{value * 9 / 5 + 32:.0f}"
return f"{value:.0f}"
# ── Main entry point ───────────────────────────────────────────────────────────
async def _get_temp_unit(user_id: int) -> str:
@@ -966,14 +287,16 @@ async def run_compilation(
model: str | None = None,
) -> tuple[str, dict]:
"""
Run the full two-lane briefing pipeline for a user and slot.
Returns (briefing_text, metadata_dict) where metadata contains
weather card data and rss_item_ids for frontend rendering.
Run the agentic briefing loop and gather UI metadata (RSS + weather).
Returns ``(briefing_text, metadata)`` where metadata contains
``rss_item_ids``, ``rss_items``, ``weather`` for frontend rendering,
and ``agentic_messages`` (the full tool-call sequence) for the
scheduler to persist as separate conversation rows.
"""
if model is None:
model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
from fabledassistant.services.user_profile import build_profile_context
from fabledassistant.services.briefing_preferences import (
load_topic_preferences,
load_topic_reaction_scores,
@@ -981,31 +304,15 @@ async def run_compilation(
)
from fabledassistant.services.weather import parse_weather_card_data, get_cached_weather_rows
profile_context, temp_unit = await asyncio.gather(
build_profile_context(user_id),
_get_temp_unit(user_id),
)
# ── Pre-processing ──────────────────────────────────────────────────────────
include_topics, exclude_topics = await load_topic_preferences(user_id)
topic_scores = await load_topic_reaction_scores(user_id)
# Parallel raw gather — weather rows fetched in same gather to avoid extra DB round-trip
internal_data, external_data, weather_rows = await asyncio.gather(
_gather_internal(user_id),
external_data, weather_rows, temp_unit = await asyncio.gather(
_gather_external(user_id),
get_cached_weather_rows(user_id),
_get_temp_unit(user_id),
)
# Weekly review: gather 7-day summary data
if slot == "weekly_review":
internal_data["weekly_review"] = await _gather_weekly_review(user_id)
# Task change detection
all_tasks = internal_data.get("all_tasks_raw", [])
changed_tasks, unchanged_count = await split_changed_tasks(user_id, all_tasks)
# RSS filtering
raw_rss = external_data.get("rss_items") or []
filtered_rss = score_and_filter_items(
raw_rss,
@@ -1028,48 +335,17 @@ async def run_compilation(
if item.get("id")
]
# Weather staleness gate — returns None if data is >24h old
weather_card = parse_weather_card_data(weather_rows[0], temp_unit) if weather_rows else None
# ── LLM Synthesis ──────────────────────────────────────────────────────────
# Build filtered internal data with only changed tasks
internal_data_filtered = dict(internal_data)
internal_data_filtered["unchanged_task_count"] = unchanged_count
internal_data_filtered["changed_tasks"] = [format_task(t) for t in changed_tasks]
briefing_text, agentic_messages = await run_agentic_briefing(
user_id, slot, model, conv_id=None,
)
# Build filtered external data (suppress weather prose — card handles it)
external_data_filtered = {
"rss_items": filtered_rss,
"weather": [],
"topic_scores": topic_scores,
metadata: dict = {
"rss_item_ids": rss_item_ids,
"rss_items": rss_items_meta,
"weather": weather_card,
}
briefing_mode = await get_setting(user_id, "briefing_mode", "legacy")
agentic_messages: list[dict] = []
briefing_text = ""
if briefing_mode == "agentic":
briefing_text, agentic_messages = await run_agentic_briefing(
user_id, slot, model, conv_id=None,
)
if not briefing_text:
logger.warning(
"Agentic briefing returned empty for user %d slot %s — falling back to legacy path",
user_id, slot,
)
if not briefing_text:
briefing_text = await _llm_synthesise(
_unified_system_prompt(profile_context, slot),
_unified_user_prompt(internal_data_filtered, external_data_filtered, slot, temp_unit),
model,
num_ctx=8192,
)
# ── Post-processing ─────────────────────────────────────────────────────────
await upsert_task_snapshots(user_id, all_tasks)
metadata: dict = {"rss_item_ids": rss_item_ids, "rss_items": rss_items_meta, "weather": weather_card}
if agentic_messages:
metadata["agentic_messages"] = agentic_messages
@@ -1086,50 +362,18 @@ async def run_slot_injection(
model: str | None = None,
) -> tuple[str, dict]:
"""
Lighter update for 8am/12pm/4pm — generates a slot-specific check-in.
Lighter check-in update for 8am/12pm/4pm slots.
Honors the ``briefing_mode`` setting just like ``run_compilation``:
agentic mode routes through the tool-use loop, legacy mode runs the
one-shot synthesis path. Falls back to legacy automatically if
agentic returns empty.
Returns ``(text, metadata)`` where metadata may contain
``agentic_messages`` (the full tool-call sequence) if the agentic
path was used.
Runs the agentic loop with the slot-specific prompt. Returns
``(text, metadata)`` where metadata contains ``agentic_messages``
for the scheduler to persist.
"""
if model is None:
model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
briefing_mode = await get_setting(user_id, "briefing_mode", "legacy")
agentic_messages: list[dict] = []
text = ""
if briefing_mode == "agentic":
text, agentic_messages = await run_agentic_briefing(
user_id, slot, model, conv_id=None,
)
if not text:
logger.warning(
"Agentic slot injection returned empty for user %d slot %s — falling back to legacy",
user_id, slot,
)
if not text:
internal_data, external_data, temp_unit = await asyncio.gather(
_gather_internal(user_id),
_gather_external(user_id),
_get_temp_unit(user_id),
)
system = (
f"You are a personal assistant giving a brief {slot} check-in. "
"The user already had their morning briefing — focus only on what's changed or newly relevant. "
"Speak naturally in 2-3 sentences, no markdown formatting, no headers or bullet points."
)
text = await _llm_synthesise(
system,
_unified_user_prompt(internal_data, external_data, slot, temp_unit),
model,
)
text, agentic_messages = await run_agentic_briefing(
user_id, slot, model, conv_id=None,
)
metadata: dict = {}
if agentic_messages:
@@ -444,7 +444,7 @@ async def _run_profile_closeout(user_id: int, model: str) -> None:
and append them to the briefing profile note.
"""
from fabledassistant.services.user_profile import append_observations
from fabledassistant.services.briefing_pipeline import _llm_synthesise
from fabledassistant.services.llm import generate_completion
from fabledassistant.models.conversation import Conversation, Message
yesterday = (date.today() - timedelta(days=1))
@@ -477,7 +477,17 @@ async def _run_profile_closeout(user_id: int, model: str) -> None:
"Example: '- User skipped news about finance', '- Prefers weather for home location first'. "
"If nothing notable, output only: (nothing to note)"
)
observations = await _llm_synthesise(system, transcript, model)
try:
observations = (await generate_completion(
[
{"role": "system", "content": system},
{"role": "user", "content": transcript},
],
model,
)).strip()
except Exception:
logger.warning("Profile closeout synthesis failed for user %d", user_id, exc_info=True)
observations = ""
if observations and "(nothing to note)" not in observations.lower():
await append_observations(user_id, observations)
+12 -2
View File
@@ -114,7 +114,7 @@ async def _consolidate_observations(user_id: int) -> str:
learned_summary paragraph. Prunes raw entries older than 30 days afterwards.
"""
from fabledassistant.config import Config
from fabledassistant.services.briefing_pipeline import _llm_synthesise
from fabledassistant.services.llm import generate_completion
from fabledassistant.services.settings import get_setting
async with async_session() as session:
@@ -145,7 +145,17 @@ async def _consolidate_observations(user_id: int) -> str:
user_prompt += f"New observations:\n{obs_text}"
model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
new_summary = await _llm_synthesise(system, user_prompt, model)
try:
new_summary = (await generate_completion(
[
{"role": "system", "content": system},
{"role": "user", "content": user_prompt},
],
model,
)).strip()
except Exception:
logger.warning("Observation consolidation failed for user %d", user_id, exc_info=True)
new_summary = ""
if new_summary:
cutoff = (date.today() - timedelta(days=30)).isoformat()