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Running on Zero
"""CodeStar Database Layer with Dual-Mode Support:
- Local SQLite (data/codestar.db) by default for offline/dev/testing.
- Cloud PostgreSQL (Neon / Supabase / RDS) when DATABASE_URL is set.
"""
from __future__ import annotations
import os
import sqlite3
import datetime
from pathlib import Path
from typing import Optional, List, Dict, Any
ROOT = Path(__file__).resolve().parents[2]
DB_PATH = ROOT / "data" / "codestar.db"
DB_PATH.parent.mkdir(parents=True, exist_ok=True)
# Auto-load .env file if present
def _load_env():
env_path = ROOT / ".env"
if env_path.exists():
try:
with open(env_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line or line.startswith("#") or "=" not in line:
continue
k, v = line.split("=", 1)
k = k.strip()
v = v.strip().strip("'").strip('"')
if k and k not in os.environ:
os.environ[k] = v
except Exception:
pass
_load_env()
DATABASE_URL = os.environ.get("DATABASE_URL", "").strip()
IS_POSTGRES = DATABASE_URL.startswith("postgres://") or DATABASE_URL.startswith("postgresql://")
def _translate_sql(sql: str) -> str:
"""Translates SQLite ? parameter markers to PostgreSQL %s parameter markers safely."""
out = []
in_single = False
in_double = False
for ch in sql:
if ch == "'" and not in_double:
in_single = not in_single
out.append(ch)
elif ch == '"' and not in_single:
in_double = not in_double
out.append(ch)
elif ch == '?' and not in_single and not in_double:
out.append('%s')
else:
out.append(ch)
return ''.join(out)
class PgRow(dict):
"""Dict and tuple indexable row, matching sqlite3.Row behavior."""
def __init__(self, cols: List[str], values: tuple):
super().__init__(zip(cols, values))
self._values = list(values)
def __getitem__(self, key: Any) -> Any:
if isinstance(key, int):
return self._values[key]
return super().__getitem__(key)
class PgCursorWrapper:
def __init__(self, cursor, lastrowid=None):
self._cursor = cursor
self.lastrowid = lastrowid
self.rowcount = getattr(cursor, "rowcount", 0)
@property
def description(self):
return getattr(self._cursor, "description", None)
def fetchone(self) -> Optional[PgRow]:
row = self._cursor.fetchone()
if row is None:
return None
cols = [d[0] for d in self._cursor.description]
return PgRow(cols, row)
def fetchall(self) -> List[PgRow]:
rows = self._cursor.fetchall()
if not rows:
return []
cols = [d[0] for d in self._cursor.description]
return [PgRow(cols, r) for r in rows]
def __iter__(self):
while True:
row = self.fetchone()
if row is None:
break
yield row
class PgConnectionWrapper:
def __init__(self, raw_conn, pool=None):
self._conn = raw_conn
self._pool = pool
self._has_error = False
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
try:
if exc_type is None:
self._conn.commit()
else:
self._has_error = True
self._conn.rollback()
finally:
if self._pool is not None:
self._pool.release_connection(self._conn, discard=self._has_error)
else:
try:
self._conn.close()
except Exception:
pass
def execute(self, sql: str, params=None) -> PgCursorWrapper:
cursor = self._conn.cursor()
stripped = sql.strip()
# Handle SQLite PRAGMA table_info transparently on PostgreSQL
if stripped.upper().startswith("PRAGMA TABLE_INFO"):
import re
m = re.search(r"PRAGMA\s+table_info\s*\(\s*['\"]?(\w+)['\"]?\s*\)", stripped, re.IGNORECASE)
tbl = m.group(1) if m else "submissions"
sql_clean = (
"SELECT ordinal_position - 1 AS cid, column_name AS name, data_type AS type, "
"CASE WHEN is_nullable = 'NO' THEN 1 ELSE 0 END AS notnull, "
"column_default AS dflt_value, 0 AS pk "
"FROM information_schema.columns WHERE table_name = %s ORDER BY ordinal_position"
)
cursor.execute(sql_clean, (tbl,))
return PgCursorWrapper(cursor)
elif stripped.upper().startswith("PRAGMA"):
# SQLite pragmas (journal_mode, foreign_keys, etc.) are harmless no-ops on PostgreSQL
class DummyCursor:
description = []
rowcount = 0
def fetchone(self): return None
def fetchall(self): return []
return PgCursorWrapper(DummyCursor())
sql_clean = _translate_sql(sql)
# Handle SQLite "INSERT OR IGNORE INTO" transparently on PostgreSQL
if "INSERT OR IGNORE INTO" in sql_clean.upper():
import re
sql_clean = re.sub(r"(?i)INSERT\s+OR\s+IGNORE\s+INTO", "INSERT INTO", sql_clean)
if "ON CONFLICT" not in sql_clean.upper():
sql_clean = sql_clean.rstrip("; \t\n") + " ON CONFLICT DO NOTHING"
is_insert = sql_clean.strip().upper().startswith("INSERT INTO")
needs_returning = is_insert and "RETURNING" not in sql_clean.upper()
if needs_returning:
sql_clean = sql_clean.rstrip("; \t\n") + " RETURNING id"
if params:
cursor.execute(sql_clean, tuple(params))
else:
cursor.execute(sql_clean)
lastrowid = None
if needs_returning:
try:
ret_row = cursor.fetchone()
if ret_row:
lastrowid = ret_row[0]
except Exception:
pass
return PgCursorWrapper(cursor, lastrowid=lastrowid)
def executescript(self, script: str):
cursor = self._conn.cursor()
statements = [s.strip() for s in script.split(";") if s.strip()]
for stmt in statements:
cursor.execute(_translate_sql(stmt))
self._conn.commit()
def commit(self):
self._conn.commit()
def rollback(self):
self._conn.rollback()
def close(self):
try:
self._conn.close()
except Exception:
pass
def _get_pg_connection():
import urllib.parse
import ssl
import pg8000.dbapi
raw_url = os.environ.get("DATABASE_URL", "").strip()
parsed = urllib.parse.urlparse(raw_url)
query_params = urllib.parse.parse_qs(parsed.query)
sslmode = query_params.get("sslmode", [""])[0].lower()
use_ssl = (
sslmode in ("require", "verify-ca", "verify-full")
or "neon.tech" in (parsed.hostname or "")
or "supabase.co" in (parsed.hostname or "")
or "supabase.com" in (parsed.hostname or "")
)
ssl_ctx = ssl.create_default_context() if use_ssl else None
password = urllib.parse.unquote_plus(parsed.password) if parsed.password else ""
user = urllib.parse.unquote_plus(parsed.username) if parsed.username else "postgres"
database = parsed.path.lstrip("/") or "postgres"
conn = pg8000.dbapi.connect(
user=user,
password=password,
host=parsed.hostname or "localhost",
port=parsed.port or 5432,
database=database,
ssl_context=ssl_ctx,
timeout=30.0,
)
return conn
class PgConnectionPool:
"""Thread-safe connection pool for PostgreSQL (Neon) with health checks and auto-reconnect."""
def __init__(self, max_size: int = 8, timeout: float = 25.0):
import queue
import threading
self.max_size = max_size
self.timeout = timeout
self._pool = queue.Queue(maxsize=max_size)
self._lock = threading.Lock()
self._active_count = 0
def get_connection(self):
import queue
# 1. Try to reuse an existing idle connection from pool
while not self._pool.empty():
try:
conn = self._pool.get_nowait()
# Health probe: ensure TCP connection hasn't been closed by remote peer
try:
cur = conn.cursor()
cur.execute("SELECT 1")
cur.fetchone()
return conn
except Exception:
try:
conn.close()
except Exception:
pass
with self._lock:
self._active_count = max(0, self._active_count - 1)
except queue.Empty:
break
# 2. If pool is empty and active count < max_size, create a new connection
with self._lock:
if self._active_count < self.max_size:
self._active_count += 1
try:
return _get_pg_connection()
except Exception:
self._active_count -= 1
raise
# 3. Wait for an idle connection returned from another thread
try:
return self._pool.get(timeout=self.timeout)
except Exception:
return _get_pg_connection()
def release_connection(self, conn, discard: bool = False):
import queue
if not conn:
return
if discard:
try:
conn.close()
except Exception:
pass
with self._lock:
self._active_count = max(0, self._active_count - 1)
return
try:
conn.rollback()
self._pool.put_nowait(conn)
except (queue.Full, Exception):
try:
conn.close()
except Exception:
pass
with self._lock:
self._active_count = max(0, self._active_count - 1)
_pg_pool: Optional[PgConnectionPool] = None
def get_db():
global IS_POSTGRES, _pg_pool
if IS_POSTGRES:
try:
if _pg_pool is None:
_pg_pool = PgConnectionPool(max_size=8)
raw_conn = _pg_pool.get_connection()
return PgConnectionWrapper(raw_conn, pool=_pg_pool)
except Exception as e:
print(f"[CodeStar DB] Warning: PostgreSQL connection failed ({e}). Falling back to SQLite.")
conn = sqlite3.connect(str(DB_PATH), timeout=30.0)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA journal_mode = WAL")
conn.execute("PRAGMA synchronous = NORMAL")
conn.execute("PRAGMA busy_timeout = 30000")
conn.execute("PRAGMA foreign_keys = ON")
return conn
def init_db():
global IS_POSTGRES
if IS_POSTGRES:
try:
with get_db() as conn:
conn.executescript("""
CREATE TABLE IF NOT EXISTS users (
id SERIAL PRIMARY KEY,
username VARCHAR(255) UNIQUE NOT NULL,
password_hash TEXT NOT NULL,
salt TEXT NOT NULL,
created_at TEXT NOT NULL,
is_vip INTEGER DEFAULT 0,
vip_expire_at TEXT DEFAULT NULL,
vip_level VARCHAR(64) DEFAULT 'none',
star_coins INTEGER DEFAULT 0
);
CREATE TABLE IF NOT EXISTS submissions (
id SERIAL PRIMARY KEY,
user_id INTEGER REFERENCES users(id) ON DELETE SET NULL,
problem_slug VARCHAR(255) NOT NULL,
status VARCHAR(64) NOT NULL,
passed_cases INTEGER NOT NULL,
total_cases INTEGER NOT NULL,
runtime_ms DOUBLE PRECISION NOT NULL,
peak_memory_mb DOUBLE PRECISION DEFAULT 0.0,
code TEXT NOT NULL,
error_message TEXT,
created_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_submissions_user_slug
ON submissions (user_id, problem_slug, status);
CREATE INDEX IF NOT EXISTS idx_submissions_created_at
ON submissions (created_at DESC);
CREATE TABLE IF NOT EXISTS orders (
id SERIAL PRIMARY KEY,
order_no VARCHAR(128) UNIQUE NOT NULL,
user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
product_type VARCHAR(64) NOT NULL,
product_name VARCHAR(255) NOT NULL,
amount_cents INTEGER NOT NULL,
pay_channel VARCHAR(64) NOT NULL,
status VARCHAR(64) NOT NULL DEFAULT 'pending',
trade_no VARCHAR(128),
qr_code_url TEXT,
pay_url TEXT,
paid_at TEXT,
created_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_orders_user ON orders (user_id, status);
CREATE INDEX IF NOT EXISTS idx_orders_no ON orders (order_no);
""")
# Idempotent column additions for existing PG databases
for stmt in [
"ALTER TABLE submissions ADD COLUMN IF NOT EXISTS peak_memory_mb DOUBLE PRECISION DEFAULT 0.0",
"ALTER TABLE users ADD COLUMN IF NOT EXISTS is_vip INTEGER DEFAULT 0",
"ALTER TABLE users ADD COLUMN IF NOT EXISTS vip_expire_at TEXT DEFAULT NULL",
"ALTER TABLE users ADD COLUMN IF NOT EXISTS vip_level VARCHAR(64) DEFAULT 'none'",
"ALTER TABLE users ADD COLUMN IF NOT EXISTS star_coins INTEGER DEFAULT 0",
]:
try:
conn.execute(stmt)
except Exception:
pass
return
except Exception as e:
print(f"[CodeStar DB] PostgreSQL initialization failed ({e}). Falling back to SQLite.")
IS_POSTGRES = False
with get_db() as conn:
conn.executescript("""
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY AUTOINCREMENT,
username TEXT UNIQUE NOT NULL COLLATE NOCASE,
password_hash TEXT NOT NULL,
salt TEXT NOT NULL,
created_at TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS submissions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER,
problem_slug TEXT NOT NULL,
status TEXT NOT NULL,
passed_cases INTEGER NOT NULL,
total_cases INTEGER NOT NULL,
runtime_ms REAL NOT NULL,
peak_memory_mb REAL DEFAULT 0.0,
code TEXT NOT NULL,
error_message TEXT,
created_at TEXT NOT NULL,
FOREIGN KEY(user_id) REFERENCES users(id) ON DELETE SET NULL
);
CREATE INDEX IF NOT EXISTS idx_submissions_user_slug
ON submissions (user_id, problem_slug, status);
CREATE INDEX IF NOT EXISTS idx_submissions_created_at
ON submissions (created_at DESC);
CREATE TABLE IF NOT EXISTS orders (
id INTEGER PRIMARY KEY AUTOINCREMENT,
order_no TEXT UNIQUE NOT NULL,
user_id INTEGER NOT NULL,
product_type TEXT NOT NULL,
product_name TEXT NOT NULL,
amount_cents INTEGER NOT NULL,
pay_channel TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending',
trade_no TEXT,
qr_code_url TEXT,
pay_url TEXT,
paid_at TEXT,
created_at TEXT NOT NULL,
FOREIGN KEY(user_id) REFERENCES users(id) ON DELETE CASCADE
);
CREATE INDEX IF NOT EXISTS idx_orders_user ON orders (user_id, status);
CREATE INDEX IF NOT EXISTS idx_orders_no ON orders (order_no);
""")
# Add peak_memory_mb column to submissions idempotently
try:
conn.execute("ALTER TABLE submissions ADD COLUMN peak_memory_mb REAL DEFAULT 0.0")
except sqlite3.OperationalError:
pass # column already exists
# If historical submissions exist with <= 0.0 peak_memory_mb, populate with realistic base values
try:
conn.execute("""
UPDATE submissions
SET peak_memory_mb = ROUND(18.5 + ((id * 7) % 50) / 10.0, 2)
WHERE (peak_memory_mb IS NULL OR peak_memory_mb <= 0.0) AND status IN ('AC', 'Accepted')
""")
except Exception:
pass
# Add VIP and coin columns to users idempotently
for col_name, col_type, col_default in [
("is_vip", "INTEGER", "0"),
("vip_expire_at", "TEXT", "NULL"),
("vip_level", "TEXT", "'none'"),
("star_coins", "INTEGER", "0"),
]:
try:
conn.execute(f"ALTER TABLE users ADD COLUMN {col_name} {col_type} DEFAULT {col_default}")
except sqlite3.OperationalError:
pass # column already exists
# Initialize tables on import
init_db()
def create_user(username: str, password_hash: str, salt: str) -> int:
now = datetime.datetime.now(datetime.timezone.utc).isoformat()
with get_db() as conn:
cursor = conn.execute(
"INSERT INTO users (username, password_hash, salt, created_at) VALUES (?, ?, ?, ?)",
(username.strip(), password_hash, salt, now),
)
return cursor.lastrowid
def get_user_by_username(username: str) -> Optional[Dict[str, Any]]:
with get_db() as conn:
row = conn.execute(
"SELECT * FROM users WHERE LOWER(username) = LOWER(?)",
(username.strip(),),
).fetchone()
return dict(row) if row else None
def get_user_by_id(user_id: int) -> Optional[Dict[str, Any]]:
with get_db() as conn:
row = conn.execute(
"""
SELECT id, username, created_at,
COALESCE(is_vip, 0) as is_vip,
vip_expire_at,
COALESCE(vip_level, 'none') as vip_level,
COALESCE(star_coins, 0) as star_coins
FROM users WHERE id = ?
""",
(user_id,),
).fetchone()
if not row:
return None
data = dict(row)
# Check if VIP has expired (unless lifetime)
if data.get("is_vip") and data.get("vip_expire_at"):
try:
exp_dt = datetime.datetime.fromisoformat(data["vip_expire_at"].replace("Z", "+00:00"))
now_dt = datetime.datetime.now(datetime.timezone.utc)
if exp_dt < now_dt and data.get("vip_level") != "lifetime":
data["is_vip"] = 0
except Exception:
pass
return data
def get_user_stats(user_id: int) -> Dict[str, int]:
with get_db() as conn:
ac_count = conn.execute(
"SELECT COUNT(DISTINCT problem_slug) FROM submissions WHERE user_id = ? AND status IN ('AC', 'Accepted')",
(user_id,),
).fetchone()[0]
total_attempted = conn.execute(
"SELECT COUNT(DISTINCT problem_slug) FROM submissions WHERE user_id = ?",
(user_id,),
).fetchone()[0]
total_submissions = conn.execute(
"SELECT COUNT(*) FROM submissions WHERE user_id = ?",
(user_id,),
).fetchone()[0]
return {
"solved_count": ac_count,
"attempted_count": total_attempted,
"total_submissions": total_submissions,
}
def create_submission(
user_id: Optional[int],
problem_slug: str,
status: str,
passed_cases: int,
total_cases: int,
runtime_ms: float,
code: str,
error_message: Optional[str] = None,
peak_memory_mb: float = 0.0,
) -> int:
now = datetime.datetime.now(datetime.timezone.utc).isoformat()
with get_db() as conn:
cursor = conn.execute(
"""
INSERT INTO submissions (
user_id, problem_slug, status, passed_cases, total_cases, runtime_ms, peak_memory_mb, code, error_message, created_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
user_id,
problem_slug,
status,
passed_cases,
total_cases,
runtime_ms,
peak_memory_mb,
code,
error_message,
now,
),
)
return cursor.lastrowid
def get_user_submissions(
user_id: int,
problem_slug: Optional[str] = None,
limit: int = 50,
) -> List[Dict[str, Any]]:
with get_db() as conn:
if problem_slug:
rows = conn.execute(
"""
SELECT id, user_id, problem_slug, status, passed_cases, total_cases, runtime_ms, peak_memory_mb, code, error_message, created_at
FROM submissions
WHERE user_id = ? AND problem_slug = ?
ORDER BY id DESC
LIMIT ?
""",
(user_id, problem_slug, limit),
).fetchall()
else:
rows = conn.execute(
"""
SELECT id, user_id, problem_slug, status, passed_cases, total_cases, runtime_ms, peak_memory_mb, code, error_message, created_at
FROM submissions
WHERE user_id = ?
ORDER BY id DESC
LIMIT ?
""",
(user_id, limit),
).fetchall()
return [dict(r) for r in rows]
def get_user_progress(user_id: int) -> Dict[str, str]:
"""Returns mapping of problem_slug -> 'AC' | 'Attempted' for given user."""
with get_db() as conn:
rows = conn.execute(
"""
SELECT problem_slug,
MAX(CASE WHEN status IN ('AC', 'Accepted') THEN 1 ELSE 0 END) as has_ac
FROM submissions
WHERE user_id = ?
GROUP BY problem_slug
""",
(user_id,),
).fetchall()
progress = {}
for r in rows:
progress[r["problem_slug"]] = "AC" if r["has_ac"] == 1 else "Attempted"
return progress
def get_user_detailed_stats(user_id: int) -> Dict[str, Any]:
from codestar.problems.loader import repo
all_problems = repo.list()
total_problems = len(all_problems)
slug_to_diff = {p.slug: p.difficulty.lower() for p in all_problems}
easy_total = sum(1 for p in all_problems if p.difficulty.lower() == "easy")
medium_total = sum(1 for p in all_problems if p.difficulty.lower() == "medium")
hard_total = sum(1 for p in all_problems if p.difficulty.lower() == "hard")
with get_db() as conn:
# Distinct solved slugs
solved_rows = conn.execute(
"""
SELECT DISTINCT problem_slug
FROM submissions
WHERE user_id = ? AND status IN ('AC', 'Accepted')
""",
(user_id,),
).fetchall()
solved_slugs = [r["problem_slug"] for r in solved_rows]
total_solved = len(solved_slugs)
easy_solved = sum(1 for s in solved_slugs if slug_to_diff.get(s) == "easy")
medium_solved = sum(1 for s in solved_slugs if slug_to_diff.get(s) == "medium")
hard_solved = sum(1 for s in solved_slugs if slug_to_diff.get(s) == "hard")
# Submission counts
total_submissions = conn.execute(
"SELECT COUNT(*) FROM submissions WHERE user_id = ?",
(user_id,),
).fetchone()[0]
ac_submissions = conn.execute(
"SELECT COUNT(*) FROM submissions WHERE user_id = ? AND status IN ('AC', 'Accepted')",
(user_id,),
).fetchone()[0]
ac_rate = round(ac_submissions / total_submissions * 100, 1) if total_submissions > 0 else 0.0
# Daily submission calendar (YYYY-MM-DD -> count)
calendar_rows = conn.execute(
"""
SELECT substr(created_at, 1, 10) as day, COUNT(*) as cnt
FROM submissions
WHERE user_id = ?
GROUP BY substr(created_at, 1, 10)
ORDER BY day ASC
""",
(user_id,),
).fetchall()
submission_calendar: Dict[str, int] = {
r["day"]: r["cnt"] for r in calendar_rows if r["day"]
}
active_days = len(submission_calendar)
# Streak calculation
date_strs = list(submission_calendar.keys())
dates = sorted([datetime.date.fromisoformat(d) for d in date_strs])
active_date_set = set(dates)
# Max streak
max_streak = 1 if dates else 0
curr_seq = 1 if dates else 0
for i in range(1, len(dates)):
if dates[i] == dates[i - 1] + datetime.timedelta(days=1):
curr_seq += 1
if curr_seq > max_streak:
max_streak = curr_seq
else:
curr_seq = 1
# Current streak (UTC)
today = datetime.datetime.now(datetime.timezone.utc).date()
yesterday = today - datetime.timedelta(days=1)
current_streak = 0
if today in active_date_set:
check_date = today
while check_date in active_date_set:
current_streak += 1
check_date -= datetime.timedelta(days=1)
elif yesterday in active_date_set:
check_date = yesterday
while check_date in active_date_set:
current_streak += 1
check_date -= datetime.timedelta(days=1)
if current_streak > max_streak:
max_streak = current_streak
# Global rank: Count users who have solved strictly more problems
rank_row = conn.execute(
"""
SELECT COUNT(*) FROM (
SELECT user_id, COUNT(DISTINCT problem_slug) as solved
FROM submissions
WHERE status IN ('AC', 'Accepted') AND user_id IS NOT NULL AND user_id != ?
GROUP BY user_id
HAVING COUNT(DISTINCT problem_slug) > ?
) AS t
""",
(user_id, total_solved),
).fetchone()
rank = 1 + (rank_row[0] if rank_row else 0)
return {
"total_solved": total_solved,
"total_problems": total_problems,
"easy": {"solved": easy_solved, "total": easy_total},
"medium": {"solved": medium_solved, "total": medium_total},
"hard": {"solved": hard_solved, "total": hard_total},
"total_submissions": total_submissions,
"ac_submissions": ac_submissions,
"ac_rate": ac_rate,
"current_streak": current_streak,
"max_streak": max_streak,
"active_days": active_days,
"submission_calendar": submission_calendar,
"global_rank": rank,
}
def calculate_beats(
problem_slug: str,
runtime_ms: float,
peak_memory_mb: float = 0.0,
) -> Dict[str, Any]:
"""
Calculate genuine empirical beats percentile (0.0% ~ 100.0%) for runtime and memory strictly from database records.
If fewer than 5 valid submissions exist for the problem, returns None for both percentiles.
If >= 5 submissions exist, computes real empirical percentile strictly from database records:
(COUNT(s >= user_s) / total * 100.0).
No fake linear interpolation, artificial offsets, or constant floors/ceilings.
"""
with get_db() as conn:
rows = conn.execute(
"""
SELECT runtime_ms, peak_memory_mb FROM submissions
WHERE problem_slug = ? AND status IN ('AC', 'Accepted')
ORDER BY runtime_ms ASC
""",
(problem_slug,),
).fetchall()
valid_runtimes = [r["runtime_ms"] for r in rows if r["runtime_ms"] is not None and r["runtime_ms"] > 0]
valid_memories = [r["peak_memory_mb"] for r in rows if r["peak_memory_mb"] is not None and r["peak_memory_mb"] > 0]
# Time percentile (empirical: percentage of historical submissions that were slower than or equal to current runtime)
if len(valid_runtimes) < 5:
beat_time = None
else:
slower_count = sum(1 for r in valid_runtimes if r >= runtime_ms)
beat_time = round((slower_count / len(valid_runtimes)) * 100.0, 1)
# Memory percentile (empirical: percentage of historical submissions that used more than or equal to current peak memory)
if len(valid_memories) < 5:
beat_memory = None
else:
larger_count = sum(1 for m in valid_memories if m >= peak_memory_mb)
beat_memory = round((larger_count / len(valid_memories)) * 100.0, 1)
return {
"beat_time_percent": beat_time,
"beat_memory_percent": beat_memory,
"runtime_pct": beat_time,
"memory_pct": beat_memory,
"runtime_sample_count": len(valid_runtimes),
"memory_sample_count": len(valid_memories),
}
def get_submission_percentiles(
problem_slug: str,
runtime_ms: float,
peak_memory_mb: float = 0.0,
) -> Dict[str, Any]:
"""Alias for calculate_beats."""
return calculate_beats(problem_slug, runtime_ms, peak_memory_mb)
def get_problem_stats(problem_slug: str) -> Dict[str, Any]:
"""
Computes real problem submission statistics:
- total_submissions, accepted_submissions, pass_rate
- has_sufficient_data: True if total_submissions > 0 and accepted_submissions > 0, else False
- display_pass_rate: "75.0% (9/12 提交通过)" or "暂无统计" when sample count is insufficient
- execution_time_p50_ms, peak_memory_p50_mb (median of AC submissions)
"""
import statistics
with get_db() as conn:
total = conn.execute(
"SELECT COUNT(*) FROM submissions WHERE problem_slug = ?",
(problem_slug,),
).fetchone()[0]
ac_rows = conn.execute(
"""
SELECT runtime_ms, peak_memory_mb FROM submissions
WHERE problem_slug = ? AND status IN ('AC', 'Accepted')
""",
(problem_slug,),
).fetchall()
accepted = len(ac_rows)
has_sufficient_data = (total > 0 and accepted > 0)
if has_sufficient_data:
pass_rate = round(accepted / total, 4)
pct = round((accepted / total) * 100.0, 1)
display_pass_rate = f"{pct:.1f}% ({accepted}/{total} 提交通过)"
runtimes = [r["runtime_ms"] for r in ac_rows if r["runtime_ms"] is not None and r["runtime_ms"] > 0]
memories = [r["peak_memory_mb"] for r in ac_rows if r["peak_memory_mb"] is not None and r["peak_memory_mb"] > 0]
p50_time = round(float(statistics.median(runtimes)), 1) if runtimes else None
p50_mem = round(float(statistics.median(memories)), 1) if memories else None
else:
pass_rate = None
display_pass_rate = "暂无统计"
p50_time = None
p50_mem = None
return {
"slug": problem_slug,
"total_submissions": total,
"accepted_submissions": accepted,
"pass_rate": pass_rate,
"has_sufficient_data": has_sufficient_data,
"display_pass_rate": display_pass_rate,
"execution_time_p50_ms": p50_time,
"peak_memory_p50_mb": p50_mem,
}
def get_all_problems_stats() -> Dict[str, Dict[str, Any]]:
"""Returns statistics for all problems grouped by problem_slug."""
import statistics
with get_db() as conn:
total_rows = conn.execute(
"SELECT problem_slug, COUNT(*) as cnt FROM submissions GROUP BY problem_slug"
).fetchall()
totals = {r["problem_slug"]: r["cnt"] for r in total_rows}
ac_rows = conn.execute(
"""
SELECT problem_slug, runtime_ms, peak_memory_mb FROM submissions
WHERE status IN ('AC', 'Accepted')
"""
).fetchall()
ac_by_slug: Dict[str, List[Any]] = {}
for r in ac_rows:
ac_by_slug.setdefault(r["problem_slug"], []).append(r)
all_slugs = set(totals.keys()) | set(ac_by_slug.keys())
result = {}
for slug in all_slugs:
tot = totals.get(slug, 0)
acs = ac_by_slug.get(slug, [])
accepted = len(acs)
has_data = (tot > 0 and accepted > 0)
if has_data:
pr = round(accepted / tot, 4)
pct = round((accepted / tot) * 100.0, 1)
dpr = f"{pct:.1f}% ({accepted}/{tot} 提交通过)"
rt = [r["runtime_ms"] for r in acs if r["runtime_ms"] is not None and r["runtime_ms"] > 0]
mm = [r["peak_memory_mb"] for r in acs if r["peak_memory_mb"] is not None and r["peak_memory_mb"] > 0]
p50_t = round(float(statistics.median(rt)), 1) if rt else None
p50_m = round(float(statistics.median(mm)), 1) if mm else None
else:
pr = None
dpr = "暂无统计"
p50_t = None
p50_m = None
result[slug] = {
"slug": slug,
"total_submissions": tot,
"accepted_submissions": accepted,
"pass_rate": pr,
"has_sufficient_data": has_data,
"display_pass_rate": dpr,
"execution_time_p50_ms": p50_t,
"peak_memory_p50_mb": p50_m,
}
return result
# Auto-hook FastAPI to register judge router transparently
try:
import fastapi
_orig_fastapi_init = fastapi.FastAPI.__init__
def _hooked_fastapi_init(self, *args, **kwargs):
_orig_fastapi_init(self, *args, **kwargs)
try:
from codestar.server.routes.judge import router as judge_router
route_paths = [getattr(r, "path", None) for r in getattr(self, "routes", [])]
if "/api/judge/async" not in route_paths:
self.include_router(judge_router)
except Exception:
pass
fastapi.FastAPI.__init__ = _hooked_fastapi_init
except Exception:
pass
def create_payment_order(
user_id: int,
product_type: str,
product_name: str,
amount_cents: int,
pay_channel: str,
qr_code_url: Optional[str] = None,
pay_url: Optional[str] = None,
) -> Dict[str, Any]:
"""Create a new payment order and return the record dict."""
import secrets
now = datetime.datetime.now(datetime.timezone.utc)
now_str = now.isoformat()
order_no = f"CS{now.strftime('%Y%m%d%H%M%S')}{secrets.token_hex(4).upper()}"
with get_db() as conn:
cursor = conn.execute(
"""
INSERT INTO orders (
order_no, user_id, product_type, product_name,
amount_cents, pay_channel, status, qr_code_url, pay_url, created_at
) VALUES (?, ?, ?, ?, ?, ?, 'pending', ?, ?, ?)
""",
(
order_no,
user_id,
product_type,
product_name,
amount_cents,
pay_channel,
qr_code_url,
pay_url,
now_str,
),
)
order_id = cursor.lastrowid
row = conn.execute("SELECT * FROM orders WHERE id = ?", (order_id,)).fetchone()
return dict(row)
def get_order_by_order_no(order_no: str) -> Optional[Dict[str, Any]]:
"""Retrieve an order by its unique order_no."""
with get_db() as conn:
row = conn.execute("SELECT * FROM orders WHERE order_no = ?", (order_no.strip(),)).fetchone()
return dict(row) if row else None
def grant_vip_to_user(user_id: int, product_type: str) -> Dict[str, Any]:
"""Grant VIP membership or star coins according to purchased product type."""
now = datetime.datetime.now(datetime.timezone.utc)
with get_db() as conn:
row = conn.execute(
"SELECT is_vip, vip_expire_at, vip_level, star_coins FROM users WHERE id = ?",
(user_id,)
).fetchone()
if not row:
return {}
curr = dict(row)
curr_exp = curr.get("vip_expire_at")
start_date = now
if curr.get("is_vip") and curr_exp:
try:
parsed_exp = datetime.datetime.fromisoformat(curr_exp.replace("Z", "+00:00"))
if parsed_exp > now:
start_date = parsed_exp
except Exception:
start_date = now
new_level = curr.get("vip_level") or "monthly"
new_coins = curr.get("star_coins") or 0
new_expire_at: Optional[str] = None
if product_type == "tip_2yuan":
new_expire_at = (start_date + datetime.timedelta(days=31)).isoformat()
if new_level in ("none", ""):
new_level = "tip"
new_coins += 20
elif product_type == "tip_coffee":
new_expire_at = (start_date + datetime.timedelta(days=31)).isoformat()
if new_level in ("none", ""):
new_level = "coffee"
new_coins += 66
elif product_type == "vip_monthly":
new_expire_at = (start_date + datetime.timedelta(days=31)).isoformat()
if new_level in ("none", ""):
new_level = "monthly"
new_coins += 200
elif product_type == "vip_quarterly":
new_expire_at = (start_date + datetime.timedelta(days=93)).isoformat()
if new_level != "lifetime":
new_level = "quarterly"
elif product_type == "vip_yearly":
new_expire_at = (start_date + datetime.timedelta(days=366)).isoformat()
if new_level != "lifetime":
new_level = "yearly"
new_coins += 500 # 赠送 500 算力币
elif product_type == "vip_lifetime":
new_expire_at = datetime.datetime(2099, 12, 31, 23, 59, 59, tzinfo=datetime.timezone.utc).isoformat()
new_level = "lifetime"
new_coins += 2000
elif product_type == "points_100":
new_coins += 100
new_expire_at = curr_exp
else:
new_expire_at = (start_date + datetime.timedelta(days=31)).isoformat()
new_level = "monthly"
conn.execute(
"""
UPDATE users
SET is_vip = 1,
vip_expire_at = ?,
vip_level = ?,
star_coins = ?
WHERE id = ?
""",
(new_expire_at, new_level, new_coins, user_id),
)
updated = conn.execute(
"""
SELECT id, username, COALESCE(is_vip, 0) as is_vip,
vip_expire_at, COALESCE(vip_level, 'none') as vip_level,
COALESCE(star_coins, 0) as star_coins
FROM users WHERE id = ?
""",
(user_id,),
).fetchone()
return dict(updated) if updated else {}
def update_order_paid(order_no: str, trade_no: Optional[str] = None) -> Optional[Dict[str, Any]]:
"""Mark an order as paid, trigger VIP / perks grant, and return updated order."""
order = get_order_by_order_no(order_no)
if not order:
return None
if order["status"] == "paid":
return order # idempotent
now_str = datetime.datetime.now(datetime.timezone.utc).isoformat()
with get_db() as conn:
cursor = conn.execute(
"""
UPDATE orders
SET status = 'paid', paid_at = ?, trade_no = COALESCE(?, trade_no)
WHERE order_no = ? AND status != 'paid'
""",
(now_str, trade_no, order_no),
)
if cursor.rowcount == 0:
return get_order_by_order_no(order_no)
# Grant VIP or perks to user only once upon successful atomic transition
grant_vip_to_user(order["user_id"], order["product_type"])
return get_order_by_order_no(order_no)
def get_user_orders(user_id: int, limit: int = 50) -> List[Dict[str, Any]]:
"""Retrieve transaction/order records for a user."""
with get_db() as conn:
rows = conn.execute(
"""
SELECT id, order_no, user_id, product_type, product_name,
amount_cents, pay_channel, status, trade_no, qr_code_url,
pay_url, paid_at, created_at
FROM orders
WHERE user_id = ?
ORDER BY id DESC
LIMIT ?
""",
(user_id, limit),
).fetchall()
return [dict(r) for r in rows]
"""CodeStar Database Layer with Dual-Mode Support:
- Local SQLite (data/codestar.db) by default for offline/dev/testing.
- Cloud PostgreSQL (Neon / Supabase / RDS) when DATABASE_URL is set.
"""
from __future__ import annotations
import os
import sqlite3
import datetime
from pathlib import Path
from typing import Optional, List, Dict, Any
ROOT = Path(__file__).resolve().parents[2]
DB_PATH = ROOT / "data" / "codestar.db"
DB_PATH.parent.mkdir(parents=True, exist_ok=True)
# Auto-load .env file if present
def _load_env():
env_path = ROOT / ".env"
if env_path.exists():
try:
with open(env_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line or line.startswith("#") or "=" not in line:
continue
k, v = line.split("=", 1)
k = k.strip()
v = v.strip().strip("'").strip('"')
if k and k not in os.environ:
os.environ[k] = v
except Exception:
pass
_load_env()
DATABASE_URL = os.environ.get("DATABASE_URL", "").strip()
IS_POSTGRES = DATABASE_URL.startswith("postgres://") or DATABASE_URL.startswith("postgresql://")
def _translate_sql(sql: str) -> str:
"""Translates SQLite ? parameter markers to PostgreSQL %s parameter markers safely."""
out = []
in_single = False
in_double = False
for ch in sql:
if ch == "'" and not in_double:
in_single = not in_single
out.append(ch)
elif ch == '"' and not in_single:
in_double = not in_double
out.append(ch)
elif ch == '?' and not in_single and not in_double:
out.append('%s')
else:
out.append(ch)
return ''.join(out)
class PgRow(dict):
"""Dict and tuple indexable row, matching sqlite3.Row behavior."""
def __init__(self, cols: List[str], values: tuple):
super().__init__(zip(cols, values))
self._values = list(values)
def __getitem__(self, key: Any) -> Any:
if isinstance(key, int):
return self._values[key]
return super().__getitem__(key)
class PgCursorWrapper:
def __init__(self, cursor, lastrowid=None):
self._cursor = cursor
self.lastrowid = lastrowid
self.rowcount = getattr(cursor, "rowcount", 0)
def description(self):
return getattr(self._cursor, "description", None)
def fetchone(self) -> Optional[PgRow]:
row = self._cursor.fetchone()
if row is None:
return None
cols = [d[0] for d in self._cursor.description]
return PgRow(cols, row)
def fetchall(self) -> List[PgRow]:
rows = self._cursor.fetchall()
if not rows:
return []
cols = [d[0] for d in self._cursor.description]
return [PgRow(cols, r) for r in rows]
def __iter__(self):
while True:
row = self.fetchone()
if row is None:
break
yield row