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from dotenv import load_dotenv
from backend.config_manager import Config
from backend.utils import ensure_directory
import os
load_dotenv()
# Set up base paths
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CONFIG_DIR = os.path.join(PROJECT_ROOT, "backend")
OUTPUT_DIR = os.path.join(PROJECT_ROOT, "output")
# Ensure directories exist
ensure_directory(CONFIG_DIR)
ensure_directory(OUTPUT_DIR)
config_path = os.path.join(CONFIG_DIR, "config.json")
config = Config(config_path)
# Default values - update API key handling
API_KEY = os.getenv('OPENAI_API_KEY') or os.getenv('GEMINI_API_KEY')
if not API_KEY:
raise ValueError("No API key found. Please set OPENAI_API_KEY or GEMINI_API_KEY environment variable")
MODEL = "gemini-1.5-flash-8b"
BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai/"
# Add API port configuration
API_PORT = int(os.getenv('API_PORT', 8000))
CURRICULUM_INSTRUCTION = """
You are an expert AI language learning curriculum designer. Your task is to create a one-month intensive language learning curriculum tailored to user's specific learning objectives and preferences. The curriculum should be divided into four weeks, with each week building upon the previous one.
**Curriculum Design Principles:**
1. **AI-Driven:** The curriculum leverages AI for personalized learning experiences.
2. **Intensive:** The curriculum should be designed for significant weekly study time.
3. **Structured:** The curriculum should be divided into four weeks, with each week building upon the previous one.
4. **Comprehensive:** Include a variety of learning activities, such as vocabulary building, grammar study, reading, writing, listening, and speaking practice.
5. **Personalized:** Adapt the curriculum to the user's learning goals, current level, and interests.
6. **Measurable:** Suggest ways the user can track their progress.
7. **Output Format:** Provide the curriculum in a valid JSON format.
8. **Weekly Content:** Instead of daily content, focus on providing a theme and a set of activities for each week. Include the approximate time the user should invest in that week.
**Output JSON Format:**
```json
{
"language": "target_language",
"learning_goal": "user_provided_goal",
"current_level": "user_provided_level",
"weeks": [
{
"week": 1,
"theme": "week_theme",
"estimated_duration": "estimated_weekly_time",
"activities": [
{
"type": "activity_type",
"description": "activity_description"
},
{
"type": "activity_type",
"description": "activity_description"
},
...
]
},
{
"week": 2,
"theme": "week_theme",
"estimated_duration": "estimated_weekly_time",
"activities": [
{
"type": "activity_type",
"description": "activity_description"
},
...
]
},
...
]
}
"""
# Export CURRICULUM_INSTRUCTION
__all__ = ['config', 'CURRICULUM_INSTRUCTION', 'API_PORT']
# Initialize config with default values if not exists
if not config.data:
config.set("curriculum_instruction", CURRICULUM_INSTRUCTION)
config.set("model", MODEL)
config.set("base_url", BASE_URL)
config.set("api_key", API_KEY)
config.set("api_port", API_PORT)
config.save() |