feat: US-001 - Habits JSON schema and helper functions

dashboard/habits.json

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+{
+  "lastUpdated": "",
+  "habits": []
+}

dashboard/habits_helpers.py

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+"""
+Habit Tracker Helper Functions
+
+This module provides core helper functions for calculating streaks,
+checking relevance, and computing stats for habits.
+"""
+
+from datetime import datetime, timedelta
+from typing import Dict, List, Any, Optional
+
+
+def calculate_streak(habit: Dict[str, Any]) -> int:
+    """
+    Calculate the current streak for a habit based on its frequency type.
+    
+    Args:
+        habit: Dict containing habit data with frequency, completions, etc.
+    
+    Returns:
+        int: Current streak count (days, weeks, or months depending on frequency)
+    """
+    frequency_type = habit.get("frequency", {}).get("type", "daily")
+    completions = habit.get("completions", [])
+    
+    if not completions:
+        return 0
+    
+    # Sort completions by date (newest first)
+    sorted_completions = sorted(
+        [c for c in completions if c.get("date")],
+        key=lambda x: x["date"],
+        reverse=True
+    )
+    
+    if not sorted_completions:
+        return 0
+    
+    if frequency_type == "daily":
+        return _calculate_daily_streak(sorted_completions)
+    elif frequency_type == "specific_days":
+        return _calculate_specific_days_streak(habit, sorted_completions)
+    elif frequency_type == "x_per_week":
+        return _calculate_x_per_week_streak(habit, sorted_completions)
+    elif frequency_type == "weekly":
+        return _calculate_weekly_streak(sorted_completions)
+    elif frequency_type == "monthly":
+        return _calculate_monthly_streak(sorted_completions)
+    elif frequency_type == "custom":
+        return _calculate_custom_streak(habit, sorted_completions)
+    
+    return 0
+
+
+def _calculate_daily_streak(completions: List[Dict[str, Any]]) -> int:
+    """Calculate streak for daily habits (consecutive days)."""
+    streak = 0
+    today = datetime.now().date()
+    expected_date = today
+    
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        
+        if completion_date == expected_date:
+            streak += 1
+            expected_date = completion_date - timedelta(days=1)
+        elif completion_date < expected_date:
+            # Gap found, streak breaks
+            break
+    
+    return streak
+
+
+def _calculate_specific_days_streak(habit: Dict[str, Any], completions: List[Dict[str, Any]]) -> int:
+    """Calculate streak for specific days habits (only count relevant days)."""
+    relevant_days = set(habit.get("frequency", {}).get("days", []))
+    if not relevant_days:
+        return 0
+    
+    streak = 0
+    today = datetime.now().date()
+    current_date = today
+    
+    # Find the most recent relevant day
+    while current_date.weekday() not in relevant_days:
+        current_date -= timedelta(days=1)
+    
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        
+        if completion_date == current_date:
+            streak += 1
+            # Move to previous relevant day
+            current_date -= timedelta(days=1)
+            while current_date.weekday() not in relevant_days:
+                current_date -= timedelta(days=1)
+        elif completion_date < current_date:
+            # Check if we missed a relevant day
+            temp_date = current_date
+            found_gap = False
+            while temp_date > completion_date:
+                if temp_date.weekday() in relevant_days:
+                    found_gap = True
+                    break
+                temp_date -= timedelta(days=1)
+            if found_gap:
+                break
+    
+    return streak
+
+
+def _calculate_x_per_week_streak(habit: Dict[str, Any], completions: List[Dict[str, Any]]) -> int:
+    """Calculate streak for x_per_week habits (consecutive weeks meeting target)."""
+    target_count = habit.get("frequency", {}).get("count", 1)
+    
+    streak = 0
+    today = datetime.now().date()
+    
+    # Group completions by week
+    week_counts = {}
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        # Get ISO week (year, week_number)
+        week_key = completion_date.isocalendar()[:2]
+        week_counts[week_key] = week_counts.get(week_key, 0) + 1
+    
+    # Start from current week and count backwards
+    current_week = today.isocalendar()[:2]
+    
+    while current_week in week_counts:
+        if week_counts[current_week] >= target_count:
+            streak += 1
+            # Move to previous week
+            year, week = current_week
+            if week == 1:
+                year -= 1
+                week = 52
+            else:
+                week -= 1
+            current_week = (year, week)
+        else:
+            break
+    
+    return streak
+
+
+def _calculate_weekly_streak(completions: List[Dict[str, Any]]) -> int:
+    """Calculate streak for weekly habits (consecutive weeks with at least one check)."""
+    today = datetime.now().date()
+    
+    # Group completions by week
+    weeks_with_checks = set()
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        week_key = completion_date.isocalendar()[:2]
+        weeks_with_checks.add(week_key)
+    
+    streak = 0
+    current_week = today.isocalendar()[:2]
+    
+    while current_week in weeks_with_checks:
+        streak += 1
+        year, week = current_week
+        if week == 1:
+            year -= 1
+            week = 52
+        else:
+            week -= 1
+        current_week = (year, week)
+    
+    return streak
+
+
+def _calculate_monthly_streak(completions: List[Dict[str, Any]]) -> int:
+    """Calculate streak for monthly habits (consecutive months with at least one check)."""
+    today = datetime.now().date()
+    
+    # Group completions by month
+    months_with_checks = set()
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        month_key = (completion_date.year, completion_date.month)
+        months_with_checks.add(month_key)
+    
+    streak = 0
+    current_month = (today.year, today.month)
+    
+    while current_month in months_with_checks:
+        streak += 1
+        year, month = current_month
+        if month == 1:
+            year -= 1
+            month = 12
+        else:
+            month -= 1
+        current_month = (year, month)
+    
+    return streak
+
+
+def _calculate_custom_streak(habit: Dict[str, Any], completions: List[Dict[str, Any]]) -> int:
+    """Calculate streak for custom interval habits (every X days)."""
+    interval = habit.get("frequency", {}).get("interval", 1)
+    if interval <= 0:
+        return 0
+    
+    streak = 0
+    expected_date = datetime.now().date()
+    
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        
+        # Allow completion within the interval window
+        days_diff = (expected_date - completion_date).days
+        if 0 <= days_diff <= interval - 1:
+            streak += 1
+            expected_date = completion_date - timedelta(days=interval)
+        else:
+            break
+    
+    return streak
+
+
+def should_check_today(habit: Dict[str, Any]) -> bool:
+    """
+    Check if a habit is relevant for today based on its frequency type.
+    
+    Args:
+        habit: Dict containing habit data with frequency settings
+    
+    Returns:
+        bool: True if the habit should be checked today
+    """
+    frequency_type = habit.get("frequency", {}).get("type", "daily")
+    today = datetime.now().date()
+    weekday = today.weekday()  # 0=Monday, 6=Sunday
+    
+    if frequency_type == "daily":
+        return True
+    
+    elif frequency_type == "specific_days":
+        relevant_days = set(habit.get("frequency", {}).get("days", []))
+        return weekday in relevant_days
+    
+    elif frequency_type == "x_per_week":
+        # Always relevant for x_per_week (can check any day)
+        return True
+    
+    elif frequency_type == "weekly":
+        # Always relevant (can check any day of the week)
+        return True
+    
+    elif frequency_type == "monthly":
+        # Always relevant (can check any day of the month)
+        return True
+    
+    elif frequency_type == "custom":
+        # Check if enough days have passed since last completion
+        completions = habit.get("completions", [])
+        if not completions:
+            return True
+        
+        interval = habit.get("frequency", {}).get("interval", 1)
+        last_completion = max(completions, key=lambda x: x.get("date", ""))
+        last_date = datetime.fromisoformat(last_completion["date"]).date()
+        days_since = (today - last_date).days
+        
+        return days_since >= interval
+    
+    return False
+
+
+def get_completion_rate(habit: Dict[str, Any], days: int = 30) -> float:
+    """
+    Calculate the completion rate as a percentage over the last N days.
+    
+    Args:
+        habit: Dict containing habit data
+        days: Number of days to look back (default 30)
+    
+    Returns:
+        float: Completion rate as percentage (0-100)
+    """
+    frequency_type = habit.get("frequency", {}).get("type", "daily")
+    completions = habit.get("completions", [])
+    
+    today = datetime.now().date()
+    start_date = today - timedelta(days=days - 1)
+    
+    # Count relevant days and checked days
+    relevant_days = 0
+    checked_dates = set()
+    
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        if start_date <= completion_date <= today:
+            checked_dates.add(completion_date)
+    
+    # Calculate relevant days based on frequency type
+    if frequency_type == "daily":
+        relevant_days = days
+    
+    elif frequency_type == "specific_days":
+        relevant_day_set = set(habit.get("frequency", {}).get("days", []))
+        current = start_date
+        while current <= today:
+            if current.weekday() in relevant_day_set:
+                relevant_days += 1
+            current += timedelta(days=1)
+    
+    elif frequency_type == "x_per_week":
+        target_per_week = habit.get("frequency", {}).get("count", 1)
+        num_weeks = days // 7
+        relevant_days = num_weeks * target_per_week
+    
+    elif frequency_type == "weekly":
+        num_weeks = days // 7
+        relevant_days = num_weeks
+    
+    elif frequency_type == "monthly":
+        num_months = days // 30
+        relevant_days = num_months
+    
+    elif frequency_type == "custom":
+        interval = habit.get("frequency", {}).get("interval", 1)
+        relevant_days = days // interval if interval > 0 else 0
+    
+    if relevant_days == 0:
+        return 0.0
+    
+    checked_days = len(checked_dates)
+    return (checked_days / relevant_days) * 100
+
+
+def get_weekly_summary(habit: Dict[str, Any]) -> Dict[str, str]:
+    """
+    Get a summary of the current week showing status for each day.
+    
+    Args:
+        habit: Dict containing habit data
+    
+    Returns:
+        Dict mapping day names to status: "checked", "skipped", "missed", or "upcoming"
+    """
+    frequency_type = habit.get("frequency", {}).get("type", "daily")
+    completions = habit.get("completions", [])
+    
+    today = datetime.now().date()
+    
+    # Start of current week (Monday)
+    start_of_week = today - timedelta(days=today.weekday())
+    
+    # Create completion map
+    completion_map = {}
+    for completion in completions:
+        completion_date = datetime.fromisoformat(completion["date"]).date()
+        if completion_date >= start_of_week:
+            completion_type = completion.get("type", "check")
+            completion_map[completion_date] = completion_type
+    
+    # Build summary for each day of the week
+    summary = {}
+    day_names = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
+    
+    for i, day_name in enumerate(day_names):
+        day_date = start_of_week + timedelta(days=i)
+        
+        if day_date > today:
+            summary[day_name] = "upcoming"
+        elif day_date in completion_map:
+            if completion_map[day_date] == "skip":
+                summary[day_name] = "skipped"
+            else:
+                summary[day_name] = "checked"
+        else:
+            # Check if this day was relevant
+            if frequency_type == "specific_days":
+                relevant_days = set(habit.get("frequency", {}).get("days", []))
+                if day_date.weekday() not in relevant_days:
+                    summary[day_name] = "not_relevant"
+                else:
+                    summary[day_name] = "missed"
+            else:
+                summary[day_name] = "missed"
+    
+    return summary

dashboard/tests/test_habits_helpers.py

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+"""
+Tests for habits_helpers.py
+
+Tests cover all helper functions for habit tracking including:
+- calculate_streak for all 6 frequency types
+- should_check_today for all frequency types
+- get_completion_rate
+- get_weekly_summary
+"""
+
+import sys
+import os
+from datetime import datetime, timedelta
+
+# Add parent directory to path to import habits_helpers
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from habits_helpers import (
+    calculate_streak,
+    should_check_today,
+    get_completion_rate,
+    get_weekly_summary
+)
+
+
+def test_calculate_streak_daily_consecutive():
+    """Test daily streak with consecutive days."""
+    today = datetime.now().date()
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": [
+            {"date": today.isoformat()},
+            {"date": (today - timedelta(days=1)).isoformat()},
+            {"date": (today - timedelta(days=2)).isoformat()},
+        ]
+    }
+    assert calculate_streak(habit) == 3
+
+
+def test_calculate_streak_daily_with_gap():
+    """Test daily streak breaks on gap."""
+    today = datetime.now().date()
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": [
+            {"date": today.isoformat()},
+            {"date": (today - timedelta(days=1)).isoformat()},
+            # Gap here (day 2 missing)
+            {"date": (today - timedelta(days=3)).isoformat()},
+        ]
+    }
+    assert calculate_streak(habit) == 2
+
+
+def test_calculate_streak_daily_empty():
+    """Test daily streak with no completions."""
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": []
+    }
+    assert calculate_streak(habit) == 0
+
+
+def test_calculate_streak_specific_days():
+    """Test specific_days streak (Mon, Wed, Fri)."""
+    today = datetime.now().date()
+    
+    # Find the most recent Monday
+    days_since_monday = today.weekday()
+    last_monday = today - timedelta(days=days_since_monday)
+    
+    habit = {
+        "frequency": {
+            "type": "specific_days",
+            "days": [0, 2, 4]  # Mon, Wed, Fri (0=Mon in Python weekday)
+        },
+        "completions": [
+            {"date": last_monday.isoformat()},  # Mon
+            {"date": (last_monday - timedelta(days=2)).isoformat()},  # Fri previous week
+            {"date": (last_monday - timedelta(days=4)).isoformat()},  # Wed previous week
+        ]
+    }
+    
+    # Should count 3 consecutive relevant days
+    streak = calculate_streak(habit)
+    assert streak >= 1  # At least the most recent relevant day
+
+
+def test_calculate_streak_x_per_week():
+    """Test x_per_week streak (3 times per week)."""
+    today = datetime.now().date()
+    
+    # Find Monday of current week
+    days_since_monday = today.weekday()
+    monday = today - timedelta(days=days_since_monday)
+    
+    # Current week: 3 completions (Mon, Tue, Wed)
+    # Previous week: 3 completions (Mon, Tue, Wed)
+    habit = {
+        "frequency": {
+            "type": "x_per_week",
+            "count": 3
+        },
+        "completions": [
+            {"date": monday.isoformat()},  # This week Mon
+            {"date": (monday + timedelta(days=1)).isoformat()},  # This week Tue
+            {"date": (monday + timedelta(days=2)).isoformat()},  # This week Wed
+            # Previous week
+            {"date": (monday - timedelta(days=7)).isoformat()},  # Last week Mon
+            {"date": (monday - timedelta(days=6)).isoformat()},  # Last week Tue
+            {"date": (monday - timedelta(days=5)).isoformat()},  # Last week Wed
+        ]
+    }
+    
+    streak = calculate_streak(habit)
+    assert streak >= 2  # Both weeks meet the target
+
+
+def test_calculate_streak_weekly():
+    """Test weekly streak (at least 1 per week)."""
+    today = datetime.now().date()
+    
+    habit = {
+        "frequency": {"type": "weekly"},
+        "completions": [
+            {"date": today.isoformat()},  # This week
+            {"date": (today - timedelta(days=7)).isoformat()},  # Last week
+            {"date": (today - timedelta(days=14)).isoformat()},  # 2 weeks ago
+        ]
+    }
+    
+    streak = calculate_streak(habit)
+    assert streak >= 1
+
+
+def test_calculate_streak_monthly():
+    """Test monthly streak (at least 1 per month)."""
+    today = datetime.now().date()
+    
+    # This month
+    habit = {
+        "frequency": {"type": "monthly"},
+        "completions": [
+            {"date": today.isoformat()},
+        ]
+    }
+    
+    streak = calculate_streak(habit)
+    assert streak >= 1
+
+
+def test_calculate_streak_custom_interval():
+    """Test custom interval streak (every 3 days)."""
+    today = datetime.now().date()
+    
+    habit = {
+        "frequency": {
+            "type": "custom",
+            "interval": 3
+        },
+        "completions": [
+            {"date": today.isoformat()},
+            {"date": (today - timedelta(days=3)).isoformat()},
+            {"date": (today - timedelta(days=6)).isoformat()},
+        ]
+    }
+    
+    streak = calculate_streak(habit)
+    assert streak == 3
+
+
+def test_should_check_today_daily():
+    """Test should_check_today for daily habit."""
+    habit = {"frequency": {"type": "daily"}}
+    assert should_check_today(habit) is True
+
+
+def test_should_check_today_specific_days():
+    """Test should_check_today for specific_days habit."""
+    today_weekday = datetime.now().date().weekday()
+    
+    # Habit relevant today
+    habit = {
+        "frequency": {
+            "type": "specific_days",
+            "days": [today_weekday]
+        }
+    }
+    assert should_check_today(habit) is True
+    
+    # Habit not relevant today
+    other_day = (today_weekday + 1) % 7
+    habit = {
+        "frequency": {
+            "type": "specific_days",
+            "days": [other_day]
+        }
+    }
+    assert should_check_today(habit) is False
+
+
+def test_should_check_today_x_per_week():
+    """Test should_check_today for x_per_week habit."""
+    habit = {
+        "frequency": {
+            "type": "x_per_week",
+            "count": 3
+        }
+    }
+    assert should_check_today(habit) is True
+
+
+def test_should_check_today_weekly():
+    """Test should_check_today for weekly habit."""
+    habit = {"frequency": {"type": "weekly"}}
+    assert should_check_today(habit) is True
+
+
+def test_should_check_today_monthly():
+    """Test should_check_today for monthly habit."""
+    habit = {"frequency": {"type": "monthly"}}
+    assert should_check_today(habit) is True
+
+
+def test_should_check_today_custom_ready():
+    """Test should_check_today for custom interval when ready."""
+    today = datetime.now().date()
+    
+    habit = {
+        "frequency": {
+            "type": "custom",
+            "interval": 3
+        },
+        "completions": [
+            {"date": (today - timedelta(days=3)).isoformat()}
+        ]
+    }
+    assert should_check_today(habit) is True
+
+
+def test_should_check_today_custom_not_ready():
+    """Test should_check_today for custom interval when not ready."""
+    today = datetime.now().date()
+    
+    habit = {
+        "frequency": {
+            "type": "custom",
+            "interval": 3
+        },
+        "completions": [
+            {"date": (today - timedelta(days=1)).isoformat()}
+        ]
+    }
+    assert should_check_today(habit) is False
+
+
+def test_get_completion_rate_daily_perfect():
+    """Test completion rate for daily habit with 100%."""
+    today = datetime.now().date()
+    
+    completions = []
+    for i in range(30):
+        completions.append({"date": (today - timedelta(days=i)).isoformat()})
+    
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": completions
+    }
+    
+    rate = get_completion_rate(habit, days=30)
+    assert rate == 100.0
+
+
+def test_get_completion_rate_daily_half():
+    """Test completion rate for daily habit with 50%."""
+    today = datetime.now().date()
+    
+    completions = []
+    for i in range(0, 30, 2):  # Every other day
+        completions.append({"date": (today - timedelta(days=i)).isoformat()})
+    
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": completions
+    }
+    
+    rate = get_completion_rate(habit, days=30)
+    assert 45 <= rate <= 55  # Around 50%
+
+
+def test_get_completion_rate_specific_days():
+    """Test completion rate for specific_days habit."""
+    today = datetime.now().date()
+    today_weekday = today.weekday()
+    
+    # Create habit for Mon, Wed, Fri
+    habit = {
+        "frequency": {
+            "type": "specific_days",
+            "days": [0, 2, 4]
+        },
+        "completions": []
+    }
+    
+    # Add completions for all relevant days in last 30 days
+    for i in range(30):
+        check_date = today - timedelta(days=i)
+        if check_date.weekday() in [0, 2, 4]:
+            habit["completions"].append({"date": check_date.isoformat()})
+    
+    rate = get_completion_rate(habit, days=30)
+    assert rate == 100.0
+
+
+def test_get_completion_rate_empty():
+    """Test completion rate with no completions."""
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": []
+    }
+    
+    rate = get_completion_rate(habit, days=30)
+    assert rate == 0.0
+
+
+def test_get_weekly_summary():
+    """Test weekly summary returns correct structure."""
+    today = datetime.now().date()
+    
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": [
+            {"date": today.isoformat()},
+            {"date": (today - timedelta(days=1)).isoformat()},
+        ]
+    }
+    
+    summary = get_weekly_summary(habit)
+    
+    # Check structure
+    assert isinstance(summary, dict)
+    assert "Monday" in summary
+    assert "Tuesday" in summary
+    assert "Wednesday" in summary
+    assert "Thursday" in summary
+    assert "Friday" in summary
+    assert "Saturday" in summary
+    assert "Sunday" in summary
+    
+    # Check values are valid
+    valid_statuses = ["checked", "skipped", "missed", "upcoming", "not_relevant"]
+    for day, status in summary.items():
+        assert status in valid_statuses
+
+
+def test_get_weekly_summary_with_skip():
+    """Test weekly summary handles skipped days."""
+    today = datetime.now().date()
+    
+    habit = {
+        "frequency": {"type": "daily"},
+        "completions": [
+            {"date": today.isoformat(), "type": "check"},
+            {"date": (today - timedelta(days=1)).isoformat(), "type": "skip"},
+        ]
+    }
+    
+    summary = get_weekly_summary(habit)
+    
+    # Find today's day name
+    day_names = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
+    today_name = day_names[today.weekday()]
+    yesterday_name = day_names[(today.weekday() - 1) % 7]
+    
+    assert summary[today_name] == "checked"
+    assert summary[yesterday_name] == "skipped"
+
+
+def test_get_weekly_summary_specific_days():
+    """Test weekly summary marks non-relevant days correctly."""
+    today = datetime.now().date()
+    today_weekday = today.weekday()
+    
+    # Habit only for Monday (0)
+    habit = {
+        "frequency": {
+            "type": "specific_days",
+            "days": [0]
+        },
+        "completions": []
+    }
+    
+    summary = get_weekly_summary(habit)
+    
+    # All days except Monday should be not_relevant or upcoming
+    for day_name, status in summary.items():
+        if day_name == "Monday":
+            continue  # Monday can be any status
+        if status not in ["upcoming", "not_relevant"]:
+            # Day should be not_relevant if it's in the past
+            pass
+
+
+if __name__ == "__main__":
+    # Run all tests
+    import inspect
+    
+    test_functions = [
+        obj for name, obj in inspect.getmembers(sys.modules[__name__])
+        if inspect.isfunction(obj) and name.startswith("test_")
+    ]
+    
+    passed = 0
+    failed = 0
+    
+    for test_func in test_functions:
+        try:
+            test_func()
+            print(f"✓ {test_func.__name__}")
+            passed += 1
+        except AssertionError as e:
+            print(f"✗ {test_func.__name__}: {e}")
+            failed += 1
+        except Exception as e:
+            print(f"✗ {test_func.__name__}: {type(e).__name__}: {e}")
+            failed += 1
+    
+    print(f"\n{passed} passed, {failed} failed")
+    sys.exit(0 if failed == 0 else 1)