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import os
from flask import Flask, request, jsonify
from dotenv import load_dotenv
from pymongo import MongoClient
import openai
from datetime import datetime
load_dotenv()
app = Flask(__name__)
# MongoDB bağlantısı
client = MongoClient(os.getenv("MONGODB_URI"))
db = client[os.getenv("MONGODB_DB_NAME")]
# OpenAI API anahtarı
openai.api_key = os.getenv("OPENAI_API_KEY")
# Model grupları ve modeller
MODEL_GROUPS = {
"GPT4_GROUP": ["gpt-4", "gpt-4-0125-preview", "gpt-4-0613", "gpt-4-1106-preview"],
"GPT4_TURBO_GROUP": ["gpt-4-turbo", "gpt-4-turbo-preview"],
"GPT35_GROUP": ["gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-1106"],
}
MODELS = {
"GPT4": MODEL_GROUPS["GPT4_GROUP"] + MODEL_GROUPS["GPT4_TURBO_GROUP"],
"GPT35": MODEL_GROUPS["GPT35_GROUP"],
"IMAGE": ["dall-e-2", "dall-e-3"],
}
# Kullanıcı seviyeleri
TIERS = {
1: {
"models": MODELS["GPT35"],
"limits": {"daily": 100, "GPT35_GROUP": 100}
},
2: {
"models": MODELS["GPT35"] + MODELS["GPT4"],
"limits": {"daily": 500, "GPT35_GROUP": 300, "GPT4_GROUP": 150, "GPT4_TURBO_GROUP": 50}
},
3: {
"models": MODELS["GPT35"] + MODELS["GPT4"] + MODELS["IMAGE"],
"limits": {"daily": 1000, "GPT35_GROUP": 500, "GPT4_GROUP": 300, "GPT4_TURBO_GROUP": 100, "dall-e-2": 50, "dall-e-3": 25}
}
}
def get_user_tier(api_key):
user = db.users.find_one({"api_key": api_key})
if user:
return user["tier"]
for i in range(1, 4):
if os.getenv(f"USER_{i}_API_KEY") == api_key:
return int(os.getenv(f"USER_{i}_TIER"))
return None
def get_model_group(model):
for group, models in MODEL_GROUPS.items():
if model in models:
return group
return model
def check_rate_limit(api_key, tier, model):
now = datetime.now()
today = now.date().isoformat()
model_group = get_model_group(model)
usage = db.usage.find_one_and_update(
{"api_key": api_key, "date": today},
{"$inc": {"daily": 1, model_group: 1}},
upsert=True,
return_document=True
)
tier_limits = TIERS[tier]["limits"]
if usage["daily"] > tier_limits["daily"]:
raise Exception("Daily rate limit exceeded")
if usage.get(model_group, 0) > tier_limits.get(model_group, float("inf")):
raise Exception(f"Rate limit for {model_group} exceeded")
@app.route('/v1/chat/completions', methods=['POST'])
def chat_completions():
data = request.json
api_key = request.headers.get('Authorization', '').replace('Bearer ', '')
user_tier = get_user_tier(api_key)
if not user_tier:
return jsonify({"error": "Invalid API key"}), 401
model = data.get('model')
if model not in TIERS[user_tier]["models"]:
return jsonify({"error": "Model not available for your tier"}), 403
try:
check_rate_limit(api_key, user_tier, model)
response = openai.ChatCompletion.create(**data)
return jsonify(response)
except Exception as e:
return jsonify({"error": str(e)}), 429
@app.route('/v1/images/generations', methods=['POST'])
def image_generations():
data = request.json
api_key = request.headers.get('Authorization', '').replace('Bearer ', '')
user_tier = get_user_tier(api_key)
if not user_tier:
return jsonify({"error": "Invalid API key"}), 401
model = data.get('model', 'dall-e-2')
if model not in TIERS[user_tier]["models"]:
return jsonify({"error": "Model not available for your tier"}), 403
try:
check_rate_limit(api_key, user_tier, model)
response = openai.Image.create(**data)
return jsonify(response)
except Exception as e:
return jsonify({"error": str(e)}), 429
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860) |