feat: enhance dashboard with PRs, adherence, activity, progression chart, and muscle heatmap
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Add 3 new stat cards (Last Workout, Personal Records, Adherence Rate), recent activity table, progression timeline chart, and muscle group recency heatmap to the dashboard. Remove Total Volume card. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -7,12 +7,14 @@ and CSV export of workout history.
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import csv
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import csv
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import io
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import io
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import json
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import json
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import os
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import re
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import re
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import tempfile
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from datetime import date, timedelta
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from datetime import date, timedelta
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from typing import Optional
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from typing import Optional
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import structlog
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import structlog
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from fastapi import APIRouter, Depends, Query, Request
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from fastapi import APIRouter, Depends, File, Query, Request, UploadFile
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from fastapi.responses import HTMLResponse, StreamingResponse
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from fastapi.responses import HTMLResponse, StreamingResponse
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from sqlmodel import Session
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from sqlmodel import Session
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@@ -21,6 +23,7 @@ from app.models.user import User
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from app.services.analytics_service import AnalyticsService
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from app.services.analytics_service import AnalyticsService
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from app.services.exercise_service import ExerciseService
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from app.services.exercise_service import ExerciseService
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from app.services.export_service import ExportService
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from app.services.export_service import ExportService
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from app.services.import_service import ImportService
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from app.services.progression_service import ProgressionService
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from app.services.progression_service import ProgressionService
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from app.utils.auth import require_active_profile
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from app.utils.auth import require_active_profile
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@@ -39,6 +42,11 @@ async def dashboard(
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analytics = AnalyticsService(session)
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analytics = AnalyticsService(session)
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stats = analytics.get_user_stats(profile.id)
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stats = analytics.get_user_stats(profile.id)
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volume_data = analytics.get_volume_by_day(profile.id)
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volume_data = analytics.get_volume_by_day(profile.id)
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personal_records = analytics.get_personal_records(profile.id)
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adherence = analytics.get_adherence_rate(profile.id)
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progression_timeline = analytics.get_progression_timeline(profile.id)
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muscle_recency = analytics.get_muscle_group_recency(profile.id)
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recent_activity = analytics.get_recent_activity(profile.id)
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exercise_service = ExerciseService(session)
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exercise_service = ExerciseService(session)
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exercises = exercise_service.list_exercises()
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exercises = exercise_service.list_exercises()
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@@ -52,6 +60,11 @@ async def dashboard(
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"request": request,
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"request": request,
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"stats": stats,
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"stats": stats,
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"volume_data_json": json.dumps(volume_data),
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"volume_data_json": json.dumps(volume_data),
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"personal_records": personal_records,
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"adherence": adherence,
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"progression_timeline_json": json.dumps(progression_timeline),
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"muscle_recency": muscle_recency,
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"recent_activity": recent_activity,
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"exercises": exercises,
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"exercises": exercises,
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"active_profile": profile,
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"active_profile": profile,
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"export_start_date": export_start,
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"export_start_date": export_start,
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@@ -100,6 +113,36 @@ async def export_csv(
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)
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)
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@router.post("/import", response_class=HTMLResponse)
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async def import_db(
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request: Request,
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db_file: UploadFile = File(...),
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session: Session = Depends(get_db_session),
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profile: User = Depends(require_active_profile),
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):
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"""Import workout history from an old SneakySwole database file."""
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tmp_fd, tmp_path = tempfile.mkstemp(suffix=".db")
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try:
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with os.fdopen(tmp_fd, "wb") as tmp:
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content = await db_file.read()
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logger.info("import_upload_received", filename=db_file.filename, size=len(content))
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tmp.write(content)
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import_service = ImportService(session)
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result = import_service.import_from_db(tmp_path)
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except Exception:
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logger.exception("import_failed")
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raise
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finally:
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os.unlink(tmp_path)
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templates = request.app.state.templates
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return templates.TemplateResponse("partials/import_results.html", {
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"request": request,
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"result": result,
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})
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@router.get("/exercise/{exercise_id}", response_class=HTMLResponse)
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@router.get("/exercise/{exercise_id}", response_class=HTMLResponse)
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async def exercise_progress(
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async def exercise_progress(
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exercise_id: int,
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exercise_id: int,
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@@ -9,6 +9,8 @@ from datetime import date, timedelta
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import structlog
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import structlog
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from sqlmodel import Session, select
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from sqlmodel import Session, select
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from app.models.exercise import Exercise
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from app.models.progress_log import ProgressLog
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from app.models.workout_day import WorkoutDay
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from app.models.workout_day import WorkoutDay
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from app.models.workout_log import WorkoutLog
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from app.models.workout_log import WorkoutLog
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from app.models.workout_session import WorkoutSession
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from app.models.workout_session import WorkoutSession
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@@ -179,3 +181,197 @@ class AnalyticsService:
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)
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)
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return volume_by_day
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return volume_by_day
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def get_personal_records(self, user_id: int) -> list[dict]:
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"""Get per-exercise max weight records for a user.
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Returns:
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List of dicts with exercise_name, weight, weight_display, date.
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Sorted by weight descending. BW-only exercises excluded.
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"""
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sessions = self._session.exec(
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select(WorkoutSession)
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.where(WorkoutSession.user_id == user_id)
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).all()
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# Map exercise_id -> {max_weight, weight_str, date, exercise_name}
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records: dict[int, dict] = {}
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for ws in sessions:
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logs = self._session.exec(
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select(WorkoutLog).where(WorkoutLog.session_id == ws.id)
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).all()
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for log_entry in logs:
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weight = _weight_to_float(log_entry.weight_used)
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if weight == 0.0:
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continue
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existing = records.get(log_entry.exercise_id)
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if existing is None or weight > existing["weight"]:
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records[log_entry.exercise_id] = {
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"exercise_id": log_entry.exercise_id,
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"weight": weight,
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"weight_display": log_entry.weight_used,
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"date": ws.date,
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}
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# Resolve exercise names
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result = []
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for exercise_id, rec in records.items():
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exercise = self._session.get(Exercise, exercise_id)
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if exercise:
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rec["exercise_name"] = exercise.name
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result.append(rec)
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result.sort(key=lambda r: r["weight"], reverse=True)
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return result
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def get_adherence_rate(self, user_id: int, weeks: int = 8) -> dict:
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"""Calculate workout adherence rate over the past N weeks.
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Returns:
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Dict with rate (0-100), completed, expected, weeks.
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"""
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cutoff = date.today() - timedelta(weeks=weeks)
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sessions = self._session.exec(
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select(WorkoutSession)
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.where(
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WorkoutSession.user_id == user_id,
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WorkoutSession.date >= cutoff,
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)
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).all()
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# Only count sessions with logs
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completed = 0
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for ws in sessions:
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logs = self._session.exec(
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select(WorkoutLog).where(WorkoutLog.session_id == ws.id)
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).all()
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if logs:
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completed += 1
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expected = weeks * 4
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rate = round((completed / expected) * 100) if expected > 0 else 0
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return {
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"rate": min(rate, 100),
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"completed": completed,
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"expected": expected,
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"weeks": weeks,
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}
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def get_muscle_group_recency(self, user_id: int) -> list[dict]:
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"""Get the most recent workout date for each muscle group.
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Returns:
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List of dicts with muscle_group, last_worked, days_ago.
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Sorted by days_ago descending (most stale first).
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"""
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exercises = self._session.exec(select(Exercise)).all()
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muscle_groups = {e.muscle_group for e in exercises if e.muscle_group}
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# Map exercise_id -> muscle_group for fast lookup
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ex_muscle = {e.id: e.muscle_group for e in exercises}
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sessions = self._session.exec(
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select(WorkoutSession)
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.where(WorkoutSession.user_id == user_id)
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.order_by(WorkoutSession.date.desc())
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).all()
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recency: dict[str, date] = {}
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for ws in sessions:
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logs = self._session.exec(
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select(WorkoutLog).where(WorkoutLog.session_id == ws.id)
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).all()
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for log_entry in logs:
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mg = ex_muscle.get(log_entry.exercise_id, "")
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if mg and (mg not in recency or ws.date > recency[mg]):
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recency[mg] = ws.date
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today = date.today()
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result = []
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for mg in sorted(muscle_groups):
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last_worked = recency.get(mg)
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days_ago = (today - last_worked).days if last_worked else None
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result.append({
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"muscle_group": mg,
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"last_worked": last_worked,
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"days_ago": days_ago,
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})
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# Sort: never-worked first, then most stale
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result.sort(
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key=lambda r: (r["days_ago"] is None, -(r["days_ago"] or 0)),
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reverse=True,
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)
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return result
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def get_recent_activity(self, user_id: int, limit: int = 5) -> list[dict]:
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"""Get the last N workout sessions with summary data.
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Returns:
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List of dicts with date, workout_day_name, total_volume, total_sets.
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"""
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days = self._session.exec(select(WorkoutDay)).all()
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day_map = {d.id: d.name for d in days}
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sessions = self._session.exec(
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select(WorkoutSession)
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.where(WorkoutSession.user_id == user_id)
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.order_by(WorkoutSession.date.desc())
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).all()
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result = []
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for ws in sessions:
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logs = self._session.exec(
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select(WorkoutLog).where(WorkoutLog.session_id == ws.id)
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).all()
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if not logs:
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continue
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total_volume = sum(
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log_entry.reps_completed * _weight_to_float(log_entry.weight_used)
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for log_entry in logs
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)
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result.append({
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"date": ws.date,
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"workout_day_name": day_map.get(ws.workout_day_id, "Unknown"),
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"total_volume": round(total_volume),
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"total_sets": len(logs),
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})
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if len(result) >= limit:
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break
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return result
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def get_progression_timeline(self, user_id: int) -> dict:
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"""Get progression history for Chart.js multi-line chart.
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Returns:
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Dict with 'exercises' key mapping exercise names to
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{dates, weights, events} lists.
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"""
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logs = self._session.exec(
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select(ProgressLog)
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.where(ProgressLog.user_id == user_id)
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.order_by(ProgressLog.date.asc())
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).all()
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exercises: dict[int, list] = {}
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for pl in logs:
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exercises.setdefault(pl.exercise_id, []).append(pl)
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result = {}
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for exercise_id, entries in exercises.items():
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exercise = self._session.get(Exercise, exercise_id)
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if not exercise:
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continue
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name = exercise.name
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result[name] = {
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"dates": [e.date.isoformat() for e in entries],
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"weights": [
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_weight_to_float(e.actual_weight or e.suggested_weight or "0")
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for e in entries
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],
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"events": [e.progression_applied or "" for e in entries],
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}
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return {"exercises": result}
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@@ -34,3 +34,36 @@ main.container {
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padding: 0.5rem 1rem;
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padding: 0.5rem 1rem;
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margin-bottom: 1rem;
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margin-bottom: 1rem;
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}
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}
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/* Muscle group heatmap */
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.muscle-heatmap {
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display: grid;
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grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
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gap: 0.75rem;
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}
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.muscle-heatmap-cell {
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padding: 1rem;
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border-radius: 0.5rem;
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text-align: center;
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}
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.recency-fresh {
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background: rgba(34, 197, 94, 0.3);
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}
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.recency-ok {
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background: rgba(234, 179, 8, 0.3);
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}
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.recency-stale {
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background: rgba(249, 115, 22, 0.3);
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}
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.recency-overdue {
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background: rgba(239, 68, 68, 0.3);
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}
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.recency-never {
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background: rgba(107, 114, 128, 0.3);
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}
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@@ -4,6 +4,7 @@
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{% block head_extra %}
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{% block head_extra %}
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>
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<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns@3"></script>
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{% endblock %}
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{% endblock %}
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{% block content %}
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{% block content %}
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@@ -28,6 +29,15 @@
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{% include "partials/volume_chart.html" %}
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{% include "partials/volume_chart.html" %}
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</article>
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</article>
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<!-- Recent Activity -->
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{% include "partials/recent_activity.html" %}
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<!-- Progression Timeline -->
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{% include "partials/progression_chart.html" %}
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<!-- Muscle Group Heatmap -->
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{% include "partials/muscle_heatmap.html" %}
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|
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<!-- Exercise Progress Links -->
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<!-- Exercise Progress Links -->
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<article>
|
<article>
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<header><h3>Per-Exercise Progress</h3></header>
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<header><h3>Per-Exercise Progress</h3></header>
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@@ -45,5 +55,9 @@
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|
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<!-- Export -->
|
<!-- Export -->
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{% include "partials/export_form.html" %}
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{% include "partials/export_form.html" %}
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|
|
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{% endif %}
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{% endif %}
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|
|
||||||
|
<!-- Import -->
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||||||
|
{% include "partials/import_form.html" %}
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{% endblock %}
|
{% endblock %}
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24
app/templates/partials/muscle_heatmap.html
Normal file
24
app/templates/partials/muscle_heatmap.html
Normal file
@@ -0,0 +1,24 @@
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|
<article>
|
||||||
|
<header><h3>Muscle Group Heatmap</h3></header>
|
||||||
|
{% if muscle_recency %}
|
||||||
|
<div class="muscle-heatmap">
|
||||||
|
{% for mg in muscle_recency %}
|
||||||
|
<div class="muscle-heatmap-cell {% if mg.days_ago is none %}recency-never{% elif mg.days_ago <= 3 %}recency-fresh{% elif mg.days_ago <= 7 %}recency-ok{% elif mg.days_ago <= 14 %}recency-stale{% else %}recency-overdue{% endif %}">
|
||||||
|
<strong>{{ mg.muscle_group }}</strong>
|
||||||
|
<br>
|
||||||
|
{% if mg.days_ago is none %}
|
||||||
|
<small>Never worked</small>
|
||||||
|
{% elif mg.days_ago == 0 %}
|
||||||
|
<small>Today</small>
|
||||||
|
{% elif mg.days_ago == 1 %}
|
||||||
|
<small>1 day ago</small>
|
||||||
|
{% else %}
|
||||||
|
<small>{{ mg.days_ago }} days ago</small>
|
||||||
|
{% endif %}
|
||||||
|
</div>
|
||||||
|
{% endfor %}
|
||||||
|
</div>
|
||||||
|
{% else %}
|
||||||
|
<p>No exercises found in the library.</p>
|
||||||
|
{% endif %}
|
||||||
|
</article>
|
||||||
90
app/templates/partials/progression_chart.html
Normal file
90
app/templates/partials/progression_chart.html
Normal file
@@ -0,0 +1,90 @@
|
|||||||
|
<article>
|
||||||
|
<header><h3>Progression Timeline</h3></header>
|
||||||
|
<div id="progression-container">
|
||||||
|
<canvas id="progression-chart" style="max-height:350px;"></canvas>
|
||||||
|
<div style="margin-top:0.5rem;">
|
||||||
|
<label for="progression-filter" style="display:inline; margin-right:0.5rem;">Exercise:</label>
|
||||||
|
<select id="progression-filter" style="display:inline-block; width:auto;">
|
||||||
|
<option value="all">All Exercises</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<p id="progression-empty" style="display:none;">No progression data yet.</p>
|
||||||
|
</article>
|
||||||
|
<script>
|
||||||
|
(function() {
|
||||||
|
var timeline = {{ progression_timeline_json|safe }};
|
||||||
|
var exerciseData = timeline.exercises || {};
|
||||||
|
var names = Object.keys(exerciseData);
|
||||||
|
|
||||||
|
if (names.length === 0) {
|
||||||
|
document.getElementById('progression-container').style.display = 'none';
|
||||||
|
document.getElementById('progression-empty').style.display = 'block';
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
var colors = [
|
||||||
|
'rgba(99, 102, 241, 1)',
|
||||||
|
'rgba(34, 197, 94, 1)',
|
||||||
|
'rgba(234, 179, 8, 1)',
|
||||||
|
'rgba(249, 115, 22, 1)',
|
||||||
|
'rgba(239, 68, 68, 1)',
|
||||||
|
'rgba(168, 85, 247, 1)',
|
||||||
|
'rgba(20, 184, 166, 1)',
|
||||||
|
'rgba(236, 72, 153, 1)',
|
||||||
|
];
|
||||||
|
|
||||||
|
var datasets = [];
|
||||||
|
var filterSelect = document.getElementById('progression-filter');
|
||||||
|
|
||||||
|
names.forEach(function(name, i) {
|
||||||
|
var d = exerciseData[name];
|
||||||
|
datasets.push({
|
||||||
|
label: name,
|
||||||
|
data: d.dates.map(function(dt, j) {
|
||||||
|
return {x: dt, y: d.weights[j]};
|
||||||
|
}),
|
||||||
|
borderColor: colors[i % colors.length],
|
||||||
|
backgroundColor: colors[i % colors.length].replace('1)', '0.2)'),
|
||||||
|
tension: 0.3,
|
||||||
|
pointRadius: 3,
|
||||||
|
hidden: false,
|
||||||
|
});
|
||||||
|
var opt = document.createElement('option');
|
||||||
|
opt.value = i;
|
||||||
|
opt.textContent = name;
|
||||||
|
filterSelect.appendChild(opt);
|
||||||
|
});
|
||||||
|
|
||||||
|
var chart = new Chart(document.getElementById('progression-chart'), {
|
||||||
|
type: 'line',
|
||||||
|
data: {datasets: datasets},
|
||||||
|
options: {
|
||||||
|
responsive: true,
|
||||||
|
plugins: {
|
||||||
|
legend: {labels: {color: '#ccc'}},
|
||||||
|
},
|
||||||
|
scales: {
|
||||||
|
x: {
|
||||||
|
type: 'time',
|
||||||
|
time: {unit: 'week'},
|
||||||
|
ticks: {color: '#ccc'},
|
||||||
|
},
|
||||||
|
y: {
|
||||||
|
beginAtZero: false,
|
||||||
|
title: {display: true, text: 'Weight (lbs)', color: '#ccc'},
|
||||||
|
ticks: {color: '#ccc'},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
});
|
||||||
|
|
||||||
|
filterSelect.addEventListener('change', function() {
|
||||||
|
var val = this.value;
|
||||||
|
chart.data.datasets.forEach(function(ds, i) {
|
||||||
|
ds.hidden = (val !== 'all' && i !== parseInt(val));
|
||||||
|
});
|
||||||
|
chart.update();
|
||||||
|
});
|
||||||
|
})();
|
||||||
|
</script>
|
||||||
29
app/templates/partials/recent_activity.html
Normal file
29
app/templates/partials/recent_activity.html
Normal file
@@ -0,0 +1,29 @@
|
|||||||
|
<article>
|
||||||
|
<header><h3>Recent Activity</h3></header>
|
||||||
|
{% if recent_activity %}
|
||||||
|
<div style="overflow-x:auto;">
|
||||||
|
<table>
|
||||||
|
<thead>
|
||||||
|
<tr>
|
||||||
|
<th>Date</th>
|
||||||
|
<th>Workout</th>
|
||||||
|
<th>Volume (lbs)</th>
|
||||||
|
<th>Sets</th>
|
||||||
|
</tr>
|
||||||
|
</thead>
|
||||||
|
<tbody>
|
||||||
|
{% for session in recent_activity %}
|
||||||
|
<tr>
|
||||||
|
<td>{{ session.date.strftime('%b %d, %Y') }}</td>
|
||||||
|
<td>{{ session.workout_day_name }}</td>
|
||||||
|
<td>{{ "{:,}".format(session.total_volume) }}</td>
|
||||||
|
<td>{{ session.total_sets }}</td>
|
||||||
|
</tr>
|
||||||
|
{% endfor %}
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
</div>
|
||||||
|
{% else %}
|
||||||
|
<p>No workout sessions logged yet.</p>
|
||||||
|
{% endif %}
|
||||||
|
</article>
|
||||||
@@ -4,12 +4,6 @@
|
|||||||
{{ stats.total_sessions }}
|
{{ stats.total_sessions }}
|
||||||
</p>
|
</p>
|
||||||
</article>
|
</article>
|
||||||
<article>
|
|
||||||
<header><h4>Total Volume</h4></header>
|
|
||||||
<p style="font-size:2rem; font-weight:700;">
|
|
||||||
{{ "{:,}".format(stats.total_volume) }} lbs
|
|
||||||
</p>
|
|
||||||
</article>
|
|
||||||
<article>
|
<article>
|
||||||
<header><h4>Total Sets</h4></header>
|
<header><h4>Total Sets</h4></header>
|
||||||
<p style="font-size:2rem; font-weight:700;">
|
<p style="font-size:2rem; font-weight:700;">
|
||||||
@@ -22,3 +16,38 @@
|
|||||||
{{ stats.current_streak }} week{{ "s" if stats.current_streak != 1 }}
|
{{ stats.current_streak }} week{{ "s" if stats.current_streak != 1 }}
|
||||||
</p>
|
</p>
|
||||||
</article>
|
</article>
|
||||||
|
</div>
|
||||||
|
<div class="grid">
|
||||||
|
<article>
|
||||||
|
<header><h4>Last Workout</h4></header>
|
||||||
|
<p style="font-size:2rem; font-weight:700;">
|
||||||
|
{% if stats.last_workout_date %}
|
||||||
|
{{ stats.last_workout_date.strftime('%b %d') }}
|
||||||
|
{% else %}
|
||||||
|
Never
|
||||||
|
{% endif %}
|
||||||
|
</p>
|
||||||
|
</article>
|
||||||
|
<article>
|
||||||
|
<header><h4>Personal Records</h4></header>
|
||||||
|
<p style="font-size:2rem; font-weight:700;">
|
||||||
|
{{ personal_records|length }} PR{{ "s" if personal_records|length != 1 }}
|
||||||
|
</p>
|
||||||
|
{% if personal_records %}
|
||||||
|
<details>
|
||||||
|
<summary>View records</summary>
|
||||||
|
<ul style="font-size:0.85rem; margin-top:0.5rem;">
|
||||||
|
{% for pr in personal_records[:10] %}
|
||||||
|
<li>{{ pr.exercise_name }}: {{ pr.weight_display }}</li>
|
||||||
|
{% endfor %}
|
||||||
|
</ul>
|
||||||
|
</details>
|
||||||
|
{% endif %}
|
||||||
|
</article>
|
||||||
|
<article>
|
||||||
|
<header><h4>Adherence</h4></header>
|
||||||
|
<p style="font-size:2rem; font-weight:700;">
|
||||||
|
{{ adherence.rate }}%
|
||||||
|
</p>
|
||||||
|
<small>{{ adherence.completed }}/{{ adherence.expected }} sessions ({{ adherence.weeks }}wk)</small>
|
||||||
|
</article>
|
||||||
|
|||||||
Reference in New Issue
Block a user