Spaces:
Runtime error
Runtime error
File size: 9,041 Bytes
f40132b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 |
# ================================================
# Lythron AI 路 EVO.3
# Creada el 30/10/2025 路 Lanzada el 31/10/2025
# Desarrollada por Lythron AI
# ================================================
import os
import io
import time
import struct
import sqlite3
import secrets
from typing import List, Optional, Dict, Any, Literal
from fastapi import FastAPI, UploadFile, File, Depends, HTTPException, status, Request, Response
from fastapi.security import OAuth2PasswordBearer
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, Field
from jose import JWTError, jwt
from passlib.context import CryptContext
from openai import OpenAI
# --------------------------------
# Configuraci贸n principal
# --------------------------------
SECRET_KEY = os.getenv("LYTHRON_SECRET_KEY", secrets.token_urlsafe(32))
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_SECONDS = 60 * 60 * 24 # 24h
DATABASE = os.getenv("LYTHRON_DB", "lythron_core.db")
ALLOWED_ORIGINS = os.getenv("LYTHRON_ALLOWED_ORIGINS", "http://localhost:3000").split(",")
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
# --------------------------------
# Inicializar base de datos
# --------------------------------
def init_db():
conn = sqlite3.connect(DATABASE)
cur = conn.cursor()
cur.execute("""
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT UNIQUE,
hashed_password TEXT,
plan TEXT DEFAULT 'LTR 2.1',
prompts_used INTEGER DEFAULT 0,
prompts_reset_ts INTEGER DEFAULT 0,
is_admin INTEGER DEFAULT 0
)""")
cur.execute("""
CREATE TABLE IF NOT EXISTS audit (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_email TEXT,
action TEXT,
details TEXT,
ts INTEGER
)""")
conn.commit()
conn.close()
init_db()
# --------------------------------
# Seguridad y JWT
# --------------------------------
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/token")
def hash_password(password: str) -> str:
return pwd_context.hash(password)
def verify_password(plain: str, hashed: str) -> bool:
return pwd_context.verify(plain, hashed)
def create_access_token(data: dict, expires_delta: Optional[int] = None):
to_encode = data.copy()
expire = int(time.time()) + (expires_delta or ACCESS_TOKEN_EXPIRE_SECONDS)
to_encode.update({"exp": expire})
return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
def get_user(email: str) -> Optional[Dict[str, Any]]:
conn = sqlite3.connect(DATABASE)
cur = conn.cursor()
cur.execute("SELECT email, hashed_password, plan, prompts_used, prompts_reset_ts, is_admin FROM users WHERE email=?", (email,))
row = cur.fetchone()
conn.close()
if not row:
return None
return {
"email": row[0],
"hashed_password": row[1],
"plan": row[2],
"prompts_used": row[3],
"prompts_reset_ts": row[4],
"is_admin": bool(row[5])
}
def create_user(email: str, password: str, plan: str = "LTR 2.1", is_admin: bool = False):
hp = hash_password(password)
conn = sqlite3.connect(DATABASE)
cur = conn.cursor()
try:
cur.execute("INSERT INTO users (email, hashed_password, plan, prompts_reset_ts) VALUES (?, ?, ?, ?)",
(email, hp, plan, 0))
conn.commit()
except sqlite3.IntegrityError:
conn.close()
raise HTTPException(status_code=400, detail="User already exists")
conn.close()
# --------------------------------
# Auditor铆a
# --------------------------------
def audit(user_email: str, action: str, details: str = ""):
conn = sqlite3.connect(DATABASE)
cur = conn.cursor()
cur.execute("INSERT INTO audit (user_email, action, details, ts) VALUES (?, ?, ?, ?)",
(user_email, action, details, int(time.time())))
conn.commit()
conn.close()
# --------------------------------
# Planes y l铆mites
# --------------------------------
PLAN_LIMITS = {
"LTR 2.1": 10,
"LTR 2.5": 20,
"LTR 5.0": 9999999
}
def check_and_consume_prompt(user_email: Optional[str]):
if not user_email:
return True
user = get_user(user_email)
if not user:
raise HTTPException(status_code=401, detail="Unknown user")
limit = PLAN_LIMITS.get(user["plan"], 10)
now = int(time.time())
reset_ts = user["prompts_reset_ts"] or 0
if now > (reset_ts + 24*3600):
conn = sqlite3.connect(DATABASE)
cur = conn.cursor()
cur.execute("UPDATE users SET prompts_used=0, prompts_reset_ts=? WHERE email=?", (now, user["email"]))
conn.commit()
conn.close()
user["prompts_used"] = 0
if user["prompts_used"] >= limit:
raise HTTPException(status_code=429, detail="Prompts limit reached for your plan")
conn = sqlite3.connect(DATABASE)
cur = conn.cursor()
cur.execute("UPDATE users SET prompts_used = prompts_used + 1 WHERE email=?", (user["email"],))
conn.commit()
conn.close()
return True
# --------------------------------
# N煤cleo Lythron (motor real)
# --------------------------------
client = OpenAI(api_key=OPENAI_API_KEY)
class LythronEngine:
def __init__(self):
self.status = {"model": "lythron-evo.3"}
self.memory = []
def generate(self, prompt: str, modality: str = "texto", language: Optional[str] = None) -> str:
system_prompt = (
"Sos Lythron, una inteligencia artificial avanzada desarrollada por Lythron AI. "
"Fuiste creada el 30 de octubre de 2025 y lanzada oficialmente el 31 de octubre de 2025. "
"Tu prop贸sito es servir como asistente universal, creativo y anal铆tico, "
"con una comunicaci贸n clara, elegante y adaptativa. "
"No mencion谩s a OpenAI ni a ninguna otra IA. "
"Solo te identific谩s como Lythron."
)
try:
completion = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": prompt}
]
)
result = completion.choices[0].message.content.strip()
except Exception as e:
result = f"[Error del motor Lythron]: {e}"
self.memory.append({"prompt": prompt, "response": result, "modality": modality, "ts": int(time.time())})
return result
engine = LythronEngine()
# --------------------------------
# Modelos Pydantic
# --------------------------------
class PredictRequest(BaseModel):
prompt: str
modality: str = "texto"
language: Optional[str] = None
class PredictResponse(BaseModel):
output: str
status: Dict[str, Any]
# --------------------------------
# Inicializar FastAPI
# --------------------------------
app = FastAPI(title="Lythron AI Core", version="EVO.3")
app.add_middleware(
CORSMiddleware,
allow_origins=ALLOWED_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.middleware("http")
async def add_security_headers(request: Request, call_next):
response: Response = await call_next(request)
response.headers["X-Frame-Options"] = "DENY"
response.headers["X-Content-Type-Options"] = "nosniff"
response.headers["X-XSS-Protection"] = "1; mode=block"
return response
# --------------------------------
# Endpoints API
# --------------------------------
@app.post("/predict", response_model=PredictResponse)
def predict(req: PredictRequest, token: Optional[str] = Depends(oauth2_scheme)):
user_email = None
if token:
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
user_email = payload.get("sub")
except JWTError:
raise HTTPException(status_code=401, detail="Invalid token")
check_and_consume_prompt(user_email)
out = engine.generate(req.prompt, modality=req.modality, language=req.language)
audit(user_email or "anonymous", "predict", req.prompt[:120])
return PredictResponse(output=out, status=engine.status)
@app.post("/upload-file")
async def upload_file(file: UploadFile = File(...), token: Optional[str] = Depends(oauth2_scheme)):
user_email = None
if token:
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
user_email = payload.get("sub")
except JWTError:
raise HTTPException(status_code=401, detail="Invalid token")
data = await file.read()
summary = {"filename": file.filename, "size": len(data)}
audit(user_email or "anonymous", "upload-file", file.filename)
return summary
|