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import type { PageServerLoad } from './$types';
import { selectNextWorkout, type UpcomingWorkout } from './selectNextWorkout';
// Single source of truth for the placeholder-phase discriminant set. Realises
// spec/programming.allium's `Mesocycle.prep_state` (issue #138). Priority order
// (stalled > replanning > in_flight > unknown) is enforced by the SECURITY
// DEFINER `get_dashboard_prep_state` SQL function; any unrecognised string
// (including NULL or an RPC error) collapses to `unknown` below so the dashboard
// degrades to the optimistic copy rather than blocking the athlete.
import type { PrepState } from './prepState';
/**
* Programme source discriminant (#267).
* 'preset' — athlete is in preset mode; direct to preset library for adoption.
* 'ai' — athlete is in AI-generated mode; existing behaviour unchanged.
*/
export type ProgrammeSource = 'ai' | 'preset';
/**
* Dashboard load function.
*
* Surfaces:
* - Onboarding redirects (PARQ, assessment) when athlete is not yet ready.
* - `hasActiveCycleWithBlocks`: true when the athlete has an active mesocycle
* with at least one block. Drives the "programme active" view.
* - `hasPlaceholderCycle`: true when the athlete has an active mesocycle with
* zero blocks. Drives the "preparing your programme" polling state.
* The adopt-placeholder branch in create-mesocycle turns a placeholder into
* a populated cycle; once blocks exist the dashboard transitions to the
* active view (via client-side invalidation).
* - `prepState`: when `hasPlaceholderCycle === true`, the discriminant for
* the four-way placeholder fallback. Always `'unknown'` when no
* placeholder is in play (we skip the RPC entirely in that case).
*
* Declares a custom invalidation dependency (`dashboard:cycle-status`) so the
* dashboard's polling effect can re-run only this load without invalidating the
* entire layout. See +page.svelte for the polling $effect.
*/
export const load: PageServerLoad = async ({
parent,
depends,
locals: { supabase, safeGetSession },
}) => {
// Declare custom dependency — allows client to call invalidate('dashboard:cycle-status')
// to re-run only this load function (not the layout load).
depends('dashboard:cycle-status');
const { athlete } = await parent();
if (athlete && !athlete.onboarding_status) {
redirect(303, '/onboarding');
}
if (athlete?.onboarding_status === 'parq_complete') {
redirect(303, '/onboarding/assessment');
}
const { user } = await safeGetSession();
if (!user) {
// hooks.server.ts should already have redirected; defensive fallback.
redirect(303, '/login');
}
// Read programme_source once per load. Defaults to 'ai' on error (fail-safe per TB1).
const { data: rawSource, error: sourceError } = await supabase.rpc('get_programme_source');
Iif (sourceError) {
console.error({
event: 'get_programme_source_failed',
code: sourceError.code,
message: sourceError.message,
});
}
const programmeSource: ProgrammeSource = rawSource === 'preset' ? 'preset' : 'ai';
// Look up the athlete's most recent active mesocycle and count its blocks.
// A "populated" active cycle has at least one block; a "placeholder" has zero.
// `created_at` is the durable clock for the placeholder fallback threshold —
// see `placeholderSince` below.
const { data: activeCycles } = await supabase
.from('mesocycles')
.select('id, created_at')
.eq('athlete_id', user.id)
.eq('status', 'active')
.limit(1);
const activeCycleId = activeCycles?.[0]?.id ?? null;
const activeCycleCreatedAt = activeCycles?.[0]?.created_at ?? null;
let blockCount = 0;
if (activeCycleId) {
const { count } = await supabase
.from('blocks')
.select('id', { count: 'exact', head: true })
.eq('mesocycle_id', activeCycleId);
blockCount = count ?? 0;
}
const hasActiveCycleWithBlocks = activeCycleId !== null && blockCount > 0;
const hasPlaceholderCycle = activeCycleId !== null && blockCount === 0;
// Preset mode: adopted cycles have blocks immediately (no prep_state polling needed).
// - No active cycle → invite athlete to preset library.
// - Active cycle with blocks → render populated dashboard (same as ai path).
// In preset mode, hasPlaceholderCycle should never be true (adopt_preset always
// materialises blocks), but if it somehow is, fall through to existing placeholder UI
// rather than silently hiding a problem.
// Derive the placeholder discriminant via SECURITY DEFINER RPC. Skip the
// round trip entirely when:
// - the cycle is populated (no placeholder copy to gate, and we don't want
// to burn an RPC on every 3s poll for athletes with a working programme).
// - programme_source = 'preset' with no cycle (no placeholder cycle to probe).
//
// Treat NULL data, an unrecognised string, AND any RPC error as 'unknown'
// — the dashboard's optimistic copy is the safe degrade target. Structured
// log shape mirrors the `complete_assessment_failed` precedent in
// onboarding/assessment/+page.server.ts.
let prepState: PrepState = 'unknown';
if (hasPlaceholderCycle && activeCycleId) {
const { data, error } = await supabase.rpc('get_dashboard_prep_state', {
p_cycle_id: activeCycleId,
});
if (error) {
console.error({
event: 'get_dashboard_prep_state_failed',
code: error.code,
message: error.message,
});
prepState = 'unknown';
} else if (data === 'in_flight' || data === 'replanning' || data === 'stalled') {
prepState = data;
} else {
prepState = 'unknown';
}
}
// Preset-mode cycle-continuation signal (#267 Slice 3).
// When a preset-mode athlete completes a cycle review, the DB rule
// PromptNextPresetOnCycleReview inserts a row into next_preset_adoption_needed.
// We surface this as a prompt for the athlete to return to the preset library.
// RLS: SELECT policy scoped to own athlete_id — safe to query unconditionally.
// We only query when in preset mode to avoid a round-trip in ai mode.
let hasNextPresetSignal = false;
Iif (programmeSource === 'preset') {
const { data: signalRows } = await supabase
.from('next_preset_adoption_needed')
.select('id')
.limit(1);
hasNextPresetSignal = (signalRows?.length ?? 0) > 0;
}
// Next-workout navigation affordance (#261). Only meaningful for a populated
// active cycle — skip the query for placeholder/preset/onboarding states.
// `.eq('status','ready')` + `.order` selects at the DB; `selectNextWorkout`
// re-applies the rule on the returned rows so it is independently
// unit-testable. Select mirrors workout/[id]/+page.server.ts. RLS scopes
// `workouts` by athlete_id; the explicit `.eq('athlete_id', user.id)` mirrors
// the mesocycle/block queries above as defence-in-depth.
let nextWorkout: UpcomingWorkout | null = null;
if (hasActiveCycleWithBlocks) {
const { data: rows, error: workoutsError } = await supabase
.from('workouts')
.select('id, scheduled_date, session_type, status, location:training_locations(name)')
.eq('athlete_id', user.id)
.eq('status', 'ready')
.order('scheduled_date', { ascending: true })
.order('id', { ascending: true });
if (workoutsError) {
// Degrade to "no upcoming workout" rather than failing the dashboard.
// Structured log mirrors the get_dashboard_prep_state precedent above.
console.error({
event: 'dashboard_next_workout_query_failed',
code: workoutsError.code,
message: workoutsError.message,
});
}
nextWorkout = selectNextWorkout((rows as UpcomingWorkout[] | null) ?? []);
}
// Pending post-workout reviews (#77). A completed workout creates a
// `workout_review` (pending) synchronously; finishing a workout returns the
// athlete to this dashboard, where the review is *offered* (not forced) via
// the surface below. RLS scopes `reviews` to the athlete; the explicit
// `.eq('athlete_id', user.id)` mirrors the queries above as defence-in-depth.
//
// Only surface a review once its AI-generated prompts are ready. The prompts
// are produced asynchronously after review creation (edge function, with a
// static fallback on refusal — spec CreateFallbackReviewPrompts), so a freshly
// created review can briefly have zero prompts. Surfacing it then would land
// the athlete on the review page's "preparing your questions" spinner — the
// exact half-baked state we want to avoid. We embed the prompts (left join,
// gated by the review_prompts_select RLS policy) and keep only reviews with
// at least one. `in_progress` reviews always have prompts by construction.
const { data: reviewRows, error: reviewsError } = await supabase
.from('reviews')
.select('id, workout_id, created_at, review_prompts(id)')
.eq('athlete_id', user.id)
.eq('scope', 'workout_review')
.in('status', ['pending', 'in_progress'])
.order('created_at', { ascending: false });
if (reviewsError) {
// Degrade to "no pending reviews" rather than failing the dashboard.
console.error({
event: 'dashboard_pending_reviews_query_failed',
code: reviewsError.code,
message: reviewsError.message,
});
}
const pendingReviews = (reviewRows ?? [])
// Only reviews whose prompts have been generated (or fell back) are ready
// to answer — hide the transient prompt-less window after creation.
.filter((r) => Array.isArray(r.review_prompts) && r.review_prompts.length > 0)
.map((r) => ({
id: r.id,
workout_id: r.workout_id,
created_at: r.created_at,
}));
return {
hasActiveCycleWithBlocks,
hasPlaceholderCycle,
prepState,
// Durable clock for the >60s placeholder fallback (see +page.svelte).
// The threshold MUST derive from this server timestamp, never from a
// client-side "first observed at" — otherwise a refresh resets the
// clock and an athlete whose generation has been stuck for hours keeps
// seeing the optimistic under-60s copy on every reload, masking the
// fallback that exists to surface a stuck cascade. Null when there is
// no placeholder cycle (the fallback only renders in that branch).
placeholderSince: hasPlaceholderCycle ? activeCycleCreatedAt : null,
programmeSource,
hasNextPresetSignal,
nextWorkout,
pendingReviews,
};
};
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