125 lines
8.6 KiB
HTML
125 lines
8.6 KiB
HTML
{% if offset == 0 %}
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<div id="exercise-history-container"
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class="w-full bg-gray-50 p-4 border-t border-gray-200 shadow-inner overflow-x-auto">
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<div class="progress-heading">
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<div class="progress-title">
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<h4>{{ title }}</h4>
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</div>
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<button class="progress-action" title="Show Progress Graph"
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hx-get="{{ url_for('get_exercise_progress_for_user', person_id=person_id, exercise_id=exercise_id, epoch=selected_epoch, forecast='true' if forecast_enabled else 'false', forecast_weeks=forecast_weeks, forecast_reps=forecast_target_reps, min_date=min_date, max_date=max_date) }}"
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hx-target="#exercise-history-container" hx-swap="outerHTML">Graph</button>
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</div>
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<div class="progress-badges" aria-label="Progress achievements" hx-get="{{ url_for('workout.get_topset_achievements', person_id=person_id, workout_id=latest_workout_id, topset_id=latest_topset_id) }}"
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hx-trigger="load" hx-target="this" hx-swap="innerHTML"></div>
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{% if best_fit_formula and not forecast_enabled %}
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<h2 class="text-xs font-semibold text-blue-200 mb-4 text-center">
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{{ best_fit_formula.kg_per_week }} kg/week, {{ best_fit_formula.kg_per_month }} kg/month
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</h2>
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{% else %}
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<div class="mb-4"></div>
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{% endif %}
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{% if forecast_enabled and forecast.available %}
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<section class="exercise-progress" aria-label="Workout forecasts">
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<div class="forecast-table-title">Upcoming sessions</div>
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<p class="forecast-caption">Approximate dates, every {{ forecast.profile.cadence_days }} days. These are scenarios based on your recent routine.</p>
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{% if forecast.stale %}<p class="forecast-caption">Historical projection from {{ forecast.last_date.strftime('%d %b %Y') }}. Log recent workouts to update.</p>{% endif %}
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<div class="forecast-table-wrap">
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<table class="forecast-table">
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<thead><tr><th scope="col">Around</th><th scope="col">Top-set scenario</th><th scope="col">Est. 1RM</th><th class="forecast-desktop-range" scope="col">E1RM range</th></tr></thead>
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<tbody>
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{% for point in forecast.session_points %}
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<tr><td>{{ point.date.strftime('%d %b %Y') }}</td>
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<td><strong>{{ point.set_display }}</strong></td>
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<td>{{ point.value }} kg<span class="forecast-mobile-range">{{ point.lower }}–{{ point.upper }} range</span></td>
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<td class="forecast-desktop-range">{{ point.lower }}–{{ point.upper }} kg</td></tr>
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{% endfor %}
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</tbody>
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</table>
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</div>
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{% if not forecast.session_points %}<p class="forecast-caption">No session expected inside this horizon at your recent cadence.</p>{% endif %}
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<details class="forecast-method">
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<summary>Why this forecast?</summary>
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<div class="forecast-facts">
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<span><strong>{{ forecast.observed_points }}</strong> sessions since {{ forecast.training_start.strftime('%d %b %Y') }}</span>
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<span><strong>{{ forecast.training_blocks - 1 }}</strong> earlier training blocks excluded</span>
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</div>
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<p>At the current load: {{ forecast.profile.block_sessions }} sessions, from {{ forecast.profile.block_start_reps }} to a best of {{ forecast.profile.block_best_reps }} reps. {{ forecast.profile.block_stalls }} sessions did not improve that rep best.</p>
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{% if forecast.profile.increment and forecast.profile.ceiling_evidence >= 2 %}
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<p>Your recent load increases usually follow {{ forecast.profile.ceiling }} reps. The most common step is {{ '%g'|format(forecast.profile.increment) }} kg; forecasts use the recorded mix of steps. The model learns repeats, rep gains, difficult sessions and rep resets from this exercise.</p>
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{% else %}<p>There is not enough repeated loading history to infer a reliable rep threshold. Repeated sets remain a possible outcome.</p>{% endif %}
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{% if forecast.validation %}
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{% set validation = forecast.validation.transitions %}
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<p>Checked against {{ validation.count }} past next-session outcomes, each predicted using only earlier data: average error {{ validation.weight_mae }} kg load, {{ validation.reps_mae }} reps, {{ validation.e1rm_mae }} kg E1RM. Repeating the last set scored {{ forecast.validation.repeat.e1rm_mae }} kg E1RM error.</p>
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{% else %}<p>Too few sessions for a useful accuracy check yet.</p>{% endif %}
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<p>Ranges combine simulated outcomes with past forecast errors. They are not guaranteed limits. Each row is a representative outcome at that date; the rows are not a prescribed training plan. Longer horizons are less certain.</p>
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</details>
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<details class="forecast-method">
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<summary>Equivalent loads at other rep counts · {{ forecast.end_date.strftime('%d %b %Y') }}</summary>
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<p>These are formula equivalents of {{ forecast.projected_value }} kg E1RM, not predictions that you will choose these sets. Rep range: {{ forecast.observed_rep_min }}–{{ forecast.observed_rep_max }} in view, expanded by ±{{ forecast.rep_buffer }}.</p>
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<div class="forecast-table-wrap">
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<table class="forecast-table">
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<thead><tr><th scope="col">Reps</th><th scope="col">Equivalent load</th><th scope="col">Load range</th></tr></thead>
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<tbody>{% for top_set in forecast.top_sets %}
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<tr><td>{{ top_set.repetitions }}</td><td>{{ top_set.weight_display }} kg</td><td>{{ top_set.lower_weight_display }}–{{ top_set.upper_weight_display }} kg</td></tr>
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{% endfor %}</tbody>
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</table>
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</div>
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<p>Rounded to {{ forecast.target_weight_increment_display }} kg display increments. Equivalents at rep counts far from your usual range are less reliable.</p>
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</details>
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</section>
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{% elif forecast_enabled %}
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<p class="forecast-caption">{{ forecast.reason }}</p>
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{% endif %}
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<table class="w-full text-left text-sm text-gray-500">
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<thead class="text-xs text-gray-700 uppercase bg-gray-100">
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<tr>
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<th scope="col" class="px-3 py-2">Date</th>
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<th scope="col" class="px-3 py-2">Set & Achievements</th>
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</tr>
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</thead>
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<tbody>
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{% endif %}
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{% for topset in topsets %}
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<tr class="border-b bg-white">
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<td class="px-3 py-2 text-sm text-gray-900 whitespace-nowrap">
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{{ topset.start_date | strftime }}
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</td>
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<td class="px-3 py-2 text-sm text-gray-900">
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<div class="flex flex-wrap items-center gap-x-2 gap-y-1">
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<span class="whitespace-nowrap">{{ topset.repetitions }} x {{ topset.weight }}kg</span>
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<div hx-get="{{ url_for('workout.get_topset_achievements', person_id=person_id, workout_id=topset.workout_id, topset_id=topset.topset_id) }}"
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hx-trigger="load" hx-target="this" hx-swap="innerHTML"
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class="flex flex-wrap items-center gap-1">
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<!-- Badges load here -->
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</div>
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</div>
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</td>
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</tr>
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{% endfor %}
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{% if topsets|length == limit %}
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<tr id="history-load-more-{{ source_topset_id }}-{{ offset + limit }}">
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<td colspan="2" class="px-3 py-3 text-center">
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<button
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class="text-sm text-blue-600 hover:underline font-medium px-4 py-2 border border-blue-600 rounded"
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hx-get="{{ url_for('workout.get_exercise_history', person_id=person_id, exercise_id=exercise_id, limit=limit, offset=offset + limit, source_topset_id=source_topset_id, forecast='true' if forecast_enabled else 'false', forecast_weeks=forecast_weeks, forecast_reps=forecast_target_reps, epoch=selected_epoch, min_date=min_date, max_date=max_date) }}"
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hx-target="#history-load-more-{{ source_topset_id }}-{{ offset + limit }}" hx-swap="outerHTML">
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Load More
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</button>
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</td>
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</tr>
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{% elif topsets|length == 0 and offset == 0 %}
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<tr>
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<td colspan="2" class="px-3 py-4 text-center text-gray-500">
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No history found.
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</td>
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</tr>
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{% endif %}
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{% if offset == 0 %}
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</tbody>
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</table>
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</div>
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{% endif %}
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