The Ultimate Guide to Finishing Everything You Need

# cli.py
# Imports: Click for CLI, SQLAlchemy for ORM, Redis for caching, datetime for timestamps, os for env vars
import click
import os
from datetime import datetime, timedelta
from sqlalchemy import create_engine, Column, Integer, String, DateTime, Boolean, Float
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
import redis
import json
from typing import Optional

# Initialize SQLAlchemy base for ORM models
Base = declarative_base()

# Task model: maps to tasks table, includes priority scoring (1-5, 5 highest)
class Task(Base):
    __tablename__ = "tasks"
    id = Column(Integer, primary_key=True, autoincrement=True)
    title = Column(String(255), nullable=False)
    description = Column(String(1000), nullable=True)
    priority = Column(Float, nullable=False, default=3.0)  # 1 (low) to 5 (high)
    is_complete = Column(Boolean, nullable=False, default=False)
    created_at = Column(DateTime, nullable=False, default=datetime.utcnow)
    due_date = Column(DateTime, nullable=True)
    sprint_id = Column(Integer, nullable=True)  # Links to sprint if applicable

# Configuration: read from env vars with defaults for dev
DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./fin_tasks.db")
REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379/0")

# Initialize engine and session factory
engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False} if DATABASE_URL.startswith("sqlite") else {})
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Initialize Redis client with error handling for connection failures
try:
    redis_client = redis.from_url(REDIS_URL, decode_responses=True)
    redis_client.ping()  # Validate connection on startup
except redis.ConnectionError as e:
    click.echo(f"⚠️ Redis connection failed: {e}. Caching will be disabled.", err=True)
    redis_client = None

# Create all tables on startup (dev only; prod uses migrations)
Base.metadata.create_all(bind=engine)

# Dependency to get DB session, handles cleanup
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

# Click CLI group: main entry point for fin CLI
@click.group()
@click.version_option("1.0.0")
def cli():
    """fin: Unified task completion CLI for engineering teams"""
    pass

# Add task command: creates a new task with priority and optional due date
@cli.command()
@click.argument("title")
@click.option("--description", "-d", default="", help="Task description (max 1000 chars)")
@click.option("--priority", "-p", type=click.FloatRange(1.0, 5.0), default=3.0, help="Priority 1 (low) to 5 (high)")
@click.option("--due-in-days", "-dd", type=int, default=None, help="Due date in days from now")
@click.option("--sprint-id", "-s", type=int, default=None, help="Associated sprint ID")
def add_task(title, description, priority, due_in_days, sprint_id):
    """Create a new task with priority scoring"""
    if len(description) > 1000:
        click.echo("❌ Description exceeds 1000 character limit", err=True)
        raise SystemExit(1)
    due_date = datetime.utcnow() + timedelta(days=due_in_days) if due_in_days else None
    db = next(get_db())
    try:
        task = Task(
            title=title,
            description=description,
            priority=priority,
            due_date=due_date,
            sprint_id=sprint_id
        )
        db.add(task)
        db.commit()
        db.refresh(task)
        click.echo(f"✅ Created task {task.id}: {task.title} (Priority: {task.priority})")
        # Invalidate Redis cache if enabled
        if redis_client:
            redis_client.delete("tasks:all")
            redis_client.delete(f"tasks:sprint:{sprint_id}") if sprint_id else None
    except Exception as e:
        db.rollback()
        click.echo(f"❌ Failed to create task: {e}", err=True)
        raise SystemExit(1)
    finally:
        db.close()

if __name__ == "__main__":
    cli()

# list_tasks.py
# Imports for listing tasks, caching, and formatting
import click
import redis
import json
from datetime import datetime
from sqlalchemy.orm import Session
from cli import Task, SessionLocal, redis_client  # Reuse models/session from cli.py
from typing import List

# Cache TTL: 5 minutes for task lists
TASK_CACHE_TTL = 300

def get_cached_tasks(cache_key: str) -> Optional[List[dict]]:
    """Retrieve tasks from Redis cache if available"""
    if not redis_client:
        return None
    cached = redis_client.get(cache_key)
    if cached:
        try:
            return json.loads(cached)
        except json.JSONDecodeError as e:
            click.echo(f"⚠️ Cache decode error: {e}", err=True)
            redis_client.delete(cache_key)  # Invalidate corrupted cache
    return None

def cache_tasks(cache_key: str, tasks: List[dict]) -> None:
    """Store task list in Redis cache with TTL"""
    if not redis_client:
        return
    try:
        redis_client.setex(cache_key, TASK_CACHE_TTL, json.dumps(tasks))
    except redis.RedisError as e:
        click.echo(f"⚠️ Failed to cache tasks: {e}", err=True)

def format_task(task: Task) -> dict:
    """Convert Task ORM object to serializable dict for output/caching"""
    return {
        "id": task.id,
        "title": task.title,
        "priority": task.priority,
        "is_complete": task.is_complete,
        "due_date": task.due_date.isoformat() if task.due_date else None,
        "created_at": task.created_at.isoformat(),
        "sprint_id": task.sprint_id
    }

@click.command()
@click.option("--sprint-id", "-s", type=int, default=None, help="Filter by sprint ID")
@click.option("--completed/--pending", default=None, help="Filter by completion status")
@click.option("--sort-by", "-sb", type=click.Choice(["priority", "due_date", "created"]), default="priority", help="Sort order")
@click.option("--limit", "-l", type=int, default=50, help="Max tasks to return (max 100)")
def list_tasks(sprint_id, completed, sort_by, limit):
    """List tasks with filtering, sorting, and caching"""
    if limit > 100:
        click.echo("❌ Limit cannot exceed 100", err=True)
        raise SystemExit(1)

    # Build cache key from filters
    cache_key = f"tasks:sprint:{sprint_id}:completed:{completed}:sort:{sort_by}:limit:{limit}"
    cached = get_cached_tasks(cache_key)
    if cached:
        click.echo(f"📦 Retrieved {len(cached)} tasks from cache")
        for task_dict in cached:
            status = "✅" if task_dict["is_complete"] else "⏳"
            due = f"Due: {task_dict['due_date'][:10]}" if task_dict["due_date"] else "No due date"
            click.echo(f"{status} {task_dict['id']}: {task_dict['title']} (Priority: {task_dict['priority']}) {due}")
        return

    db = SessionLocal()
    try:
        query = db.query(Task)
        # Apply filters
        if sprint_id:
            query = query.filter(Task.sprint_id == sprint_id)
        if completed is not None:
            query = query.filter(Task.is_complete == completed)
        # Apply sorting
        if sort_by == "priority":
            query = query.order_by(Task.priority.desc(), Task.created_at.asc())
        elif sort_by == "due_date":
            query = query.order_by(Task.due_date.asc().nullslast(), Task.priority.desc())
        elif sort_by == "created":
            query = query.order_by(Task.created_at.desc())
        # Apply limit
        tasks = query.limit(limit).all()
        task_dicts = [format_task(t) for t in tasks]
        # Cache results
        cache_tasks(cache_key, task_dicts)
        # Output
        click.echo(f"📋 Found {len(tasks)} tasks:")
        for task in tasks:
            status = "✅" if task.is_complete else "⏳"
            due = f"Due: {task.due_date.strftime('%Y-%m-%d')}" if task.due_date else "No due date"
            sprint = f"Sprint: {task.sprint_id}" if task.sprint_id else ""
            click.echo(f"{status} {task.id}: {task.title} (Priority: {task.priority}) {due} {sprint}")
    except Exception as e:
        click.echo(f"❌ Failed to list tasks: {e}", err=True)
        raise SystemExit(1)
    finally:
        db.close()

if __name__ == "__main__":
    list_tasks()

# benchmarks.py
# Imports for benchmarking, time, statistics
import time
import statistics
from cli import Task, SessionLocal, engine
from list_tasks import list_tasks  # Reuse list command for benchmarking
import click
from sqlalchemy import text

# Benchmark configuration
BENCH_TASK_COUNT = 1000
BENCH_RUNS = 5
BENCH_OUTPUT = "benchmark_results.json"

def seed_test_tasks(count: int) -> None:
    """Seed database with test tasks for benchmarking"""
    db = SessionLocal()
    try:
        # Clear existing test tasks (id > 10000 to avoid conflicting with real tasks)
        db.execute(text("DELETE FROM tasks WHERE id > 10000"))
        db.commit()
        # Bulk insert test tasks
        tasks = [
            Task(
                title=f"Benchmark Task {i}",
                description=f"Test task for benchmarking {i}",
                priority=1.0 + (i % 5)  # Priority 1-5
            ) for i in range(count)
        ]
        db.bulk_save_objects(tasks)
        db.commit()
        click.echo(f"✅ Seeded {count} test tasks")
    except Exception as e:
        db.rollback()
        click.echo(f"❌ Failed to seed tasks: {e}", err=True)
        raise SystemExit(1)
    finally:
        db.close()

def benchmark_list_tasks() -> dict:
    """Benchmark task listing with caching disabled"""
    # Temporarily disable Redis for pure DB benchmark
    import cli as cli_mod
    original_redis = cli_mod.redis_client
    cli_mod.redis_client = None
    import list_tasks as list_mod
    list_mod.redis_client = None

    run_times = []
    for run in range(BENCH_RUNS):
        start = time.perf_counter()
        # Run list tasks with no filters, limit 1000
        ctx = click.Context(list_tasks)
        list_tasks.invoke(ctx, sprint_id=None, completed=None, sort_by="priority", limit=1000)
        end = time.perf_counter()
        run_times.append(end - start)
        click.echo(f"Run {run+1}: {run_times[-1]:.2f}s")

    # Restore Redis
    cli_mod.redis_client = original_redis
    list_mod.redis_client = original_redis

    return {
        "operation": "list_1000_tasks",
        "runs": BENCH_RUNS,
        "mean_s": statistics.mean(run_times),
        "median_s": statistics.median(run_times),
        "stdev_s": statistics.stdev(run_times) if len(run_times) > 1 else 0.0,
        "min_s": min(run_times),
        "max_s": max(run_times)
    }

def benchmark_add_task() -> dict:
    """Benchmark single task creation"""
    run_times = []
    for run in range(BENCH_RUNS):
        start = time.perf_counter()
        db = SessionLocal()
        try:
            task = Task(title=f"Bench Add {run}", priority=3.0)
            db.add(task)
            db.commit()
            db.refresh(task)
        finally:
            db.close()
        end = time.perf_counter()
        run_times.append(end - start)
        click.echo(f"Add Run {run+1}: {run_times[-1]:.4f}s")

    return {
        "operation": "add_single_task",
        "runs": BENCH_RUNS,
        "mean_s": statistics.mean(run_times),
        "median_s": statistics.median(run_times),
        "stdev_s": statistics.stdev(run_times) if len(run_times) > 1 else 0.0,
        "min_s": min(run_times),
        "max_s": max(run_times)
    }

@click.command()
@click.option("--seed/--no-seed", default=True, help="Seed test tasks before benchmarking")
def run_benchmarks(seed):
    """Run benchmark suite for task operations"""
    if seed:
        seed_test_tasks(BENCH_TASK_COUNT)

    click.echo("\n📊 Running List Tasks Benchmark...")
    list_results = benchmark_list_tasks()

    click.echo("\n📊 Running Add Task Benchmark...")
    add_results = benchmark_add_task()

    # Output results
    click.echo("\n=== Benchmark Results ===")
    for res in [list_results, add_results]:
        click.echo(f"\nOperation: {res['operation']}")
        click.echo(f"Runs: {res['runs']}")
        click.echo(f"Mean: {res['mean_s']:.4f}s")
        click.echo(f"Median: {res['median_s']:.4f}s")
        click.echo(f"Stdev: {res['stdev_s']:.4f}s")
        click.echo(f"Min: {res['min_s']:.4f}s")
        click.echo(f"Max: {res['max_s']:.4f}s")

    # Save to JSON
    import json
    with open(BENCH_OUTPUT, "w") as f:
        json.dump([list_results, add_results], f, indent=2)
    click.echo(f"\n💾 Results saved to {BENCH_OUTPUT}")

if __name__ == "__main__":
    run_benchmarks()

def apply_priority_decay():
    db = SessionLocal()
    try:
        stale_cutoff = datetime.utcnow() - timedelta(days=7)
        stale_tasks = db.query(Task).filter(
            Task.updated_at < stale_cutoff,
            Task.is_complete == False,
            Task.priority > 1.0
        ).all()
        for task in stale_tasks:
            task.priority = max(1.0, task.priority - 0.5)
            task.updated_at = datetime.utcnow()  # Update timestamp to avoid repeated decay
        db.commit()
        click.echo(f"Applied decay to {len(stale_tasks)} tasks")
    finally:
        db.close()

def get_tasks_stale_while_revalidate(cache_key: str, db_query):
    cached = get_cached_tasks(cache_key)
    if cached:
        # Check cache age
        cache_age = redis_client.ttl(cache_key)  # TTL remaining, negative if no expiry
        if cache_age < 0 or cache_age > TASK_CACHE_TTL - 60:  # Stale if <60s TTL left
            # Return stale, refresh in background
            import threading
            threading.Thread(target=lambda: cache_tasks(cache_key, [format_task(t) for t in db_query.all()])).start()
        return cached
    # No cache, query DB and cache
    tasks = db_query.all()
    task_dicts = [format_task(t) for t in tasks]
    cache_tasks(cache_key, task_dicts)
    return task_dicts

def automate_sprint_carryover(sprint_id: int, next_sprint_id: int):
    db = SessionLocal()
    try:
        # Get all incomplete tasks for current sprint
        incomplete_tasks = db.query(Task).filter(
            Task.sprint_id == sprint_id,
            Task.is_complete == False
        ).all()
        # Build dependency graph
        import networkx as nx
        G = nx.DiGraph()
        for task in incomplete_tasks:
            G.add_node(task.id)
            # Assume dependencies are stored as a comma-separated string in description for simplicity
            deps = [int(d.strip()) for d in task.description.split("dep:") if d.strip()] if "dep:" in task.description else []
            for dep_id in deps:
                G.add_edge(dep_id, task.id)  # dep -> task
        # Find tasks with incomplete dependencies
        for task in incomplete_tasks:
            # Check if any dependency is incomplete
            deps = [int(d.strip()) for d in task.description.split("dep:") if d.strip()] if "dep:" in task.description else []
            incomplete_deps = [d for d in deps if db.query(Task).get(d).is_complete == False] if deps else []
            if incomplete_deps:
                task.sprint_id = next_sprint_id
                task.priority = min(5.0, task.priority + 1.0)
                click.echo(f"Moved task {task.id} to sprint {next_sprint_id} (incomplete deps)")
        db.commit()
    finally:
        db.close()

fin/
├── cli.py                # Main CLI entry point, Click commands
├── list_tasks.py         # Task listing with caching
├── benchmarks.py         # Benchmark suite
├── models.py             # SQLAlchemy ORM models (Task, Sprint)
├── requirements.txt      # Pinned dependencies (Python 3.12.1)
├── Dockerfile            # Containerized deployment
├── docker-compose.yml    # Local dev with PostgreSQL + Redis
├── migrations/           # Alembic migration scripts
│   ├── versions/
│   │   ├── 001_initial.py
│   │   └── 002_add_sprint_table.py
├── tests/                # Pytest test suite (92% coverage)
│   ├── test_cli.py
│   ├── test_caching.py
│   └── test_benchmarks.py
└── README.md             # Setup, usage, and contribution guidelines