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import json
import os
from app import app, db
from models import AgentKnowledge, ContentLibrary
from datetime import datetime
def load_json(filepath):
try:
with open(filepath, 'r') as f:
return json.load(f)
except FileNotFoundError:
print(f"Error: File not found at {filepath}")
return None
def train_teaching_agent():
print("Training Teaching Agent...")
data = load_json('agent_knowledge/knowledge_bases/teaching_strategies.json')
if not data: return
# Clear existing to avoid duplicates (for this script)
AgentKnowledge.query.filter_by(agent_type='teaching').delete()
count = 0
# 1. Strategies
for strategy in data.get('strategies', []):
entry = AgentKnowledge(
agent_type='teaching',
knowledge_type='strategy',
content=strategy,
effectiveness_score=strategy.get('effectiveness_score', 0.5),
usage_count=0
)
db.session.add(entry)
count += 1
# 2. Templates
templates = data.get('lesson_templates', {})
for name, template in templates.items():
entry = AgentKnowledge(
agent_type='teaching',
knowledge_type='template',
content={'name': name, 'template': template},
effectiveness_score=0.8,
usage_count=0
)
db.session.add(entry)
count += 1
print(f" - Loaded {count} teaching knowledge items.")
def train_assessment_agent():
print("Training Assessment Agent...")
data = load_json('agent_knowledge/knowledge_bases/question_templates.json')
if not data: return
AgentKnowledge.query.filter_by(agent_type='assessment').delete()
count = 0
for template in data.get('templates', []):
entry = AgentKnowledge(
agent_type='assessment',
knowledge_type='question_template',
content=template,
effectiveness_score=0.8,
usage_count=0
)
db.session.add(entry)
count += 1
print(f" - Loaded {count} assessment templates.")
def train_tutor_agent():
print("Training Tutor Agent...")
data = load_json('agent_knowledge/knowledge_bases/hint_strategies.json')
if not data: return
AgentKnowledge.query.filter_by(agent_type='tutor').delete()
count = 0
for strategy in data.get('strategies', []):
entry = AgentKnowledge(
agent_type='tutor',
knowledge_type='hint_strategy',
content=strategy,
effectiveness_score=strategy.get('effectiveness_score', 0.5),
usage_count=0
)
db.session.add(entry)
count += 1
print(f" - Loaded {count} tutor strategies.")
def training_summary():
print("\n" + "="*40)
print("AGENT TRAINING COMPLETE")
print("="*40)
total_knowledge = AgentKnowledge.query.count()
print(f"Total Knowledge Items in DB: {total_knowledge}")
by_agent = db.session.query(AgentKnowledge.agent_type, db.func.count(AgentKnowledge.id)).group_by(AgentKnowledge.agent_type).all()
for agent, count in by_agent:
print(f" - {agent.capitalize()} Agent: {count} items")
if __name__ == '__main__':
with app.app_context():
try:
train_teaching_agent()
train_assessment_agent()
train_tutor_agent()
db.session.commit()
print("Database committed successfully.")
training_summary()
except Exception as e:
db.session.rollback()
print(f"Error during training: {str(e)}")
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