equilink-site/server/prompt_chaining/step_2_create_content.py

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2025-02-12 17:38:06 +05:30
#
# Module: step_2
#
# This module implements the step_2 function for creating a new season for an agent.
#
# Title: Step 2
# Summary: Step 2 implementation.
# Authors:
# - @TheBlockRhino
# Created: 2025-01-02
# Last edited by: @TheBlockRhino
# Last edited date: 2025-01-09
# URLs:
# - https://arai-ai.io
# - https://github.com/ARAI-DevHub/arai-ai-agents
# - https://x.com/TheBlockRhino
# standard imports
import os
import json
import json
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# custom ARAI imports
from utils.content_generator import ContentGenerator
from utils.template_types import TemplateType
import prompt_chaining.step_3_create_posts as next_step
def create_seasons_and_episodes(ai_model, master_file_path, number_of_episodes):
'''
Description:
Create a new season for the agent
Args:
ai_model: The AI model to use for generating responses
master_file_path: The path to the agent master json file
Returns:
season_file_path: The path to the season json file
Raises:
Exception: If there's an error creating the season
Example:
>>> ai_model = GeminiModel()
>>> master_file_path = "agent_template.json"
>>> step_2(ai_model, master_file_path)
'''
print("Step 2: Create a new season")
# step 2.1: load the season template json file
manager = ContentGenerator()
#season_template = manager.create_new_template_yaml(TemplateType.SEASON)
print(f"Creating a new season template")
season_template = manager.create_new_template_json(TemplateType.SEASON)
# step 2.2: load the agent json file
print(f"Loading agent master json file")
agent_master_json = None
with open(master_file_path, 'r', encoding='utf-8') as file:
agent_master_json = json.load(file)
# extract agent from master json
print(f"Extracting agent details from master json")
agent_details = agent_master_json['agent']['agent_details']
# if the seasons array is empty or None, we need to initialize it
if not agent_master_json['agent']['seasons'] or agent_master_json['agent']['seasons'] == []:
agent_master_json['agent']['seasons'] = season_template['seasons']
# step 2.3: find the previous season
# get last season file
previous_season = None
# Get the last season from the seasons array if it exists
seasons = agent_master_json['agent']['seasons']
previous_season = seasons[-1] if seasons else None
if previous_season:
print(f"Found previous season: {previous_season['season_number']}")
else:
print("No previous seasons found")
# step 2.3: Generate a new season name, topic, and communication style with the prompt_2 template
# prompt 2 Season Creation:
# note that emojis will be output as unicode characters due to the json dump
print("Crafting prompt for AI to create a new season")
prompt_2_vars = {
"agent_name": agent_details["name"],
"agent_json": json.dumps(agent_details),
"season_json": json.dumps(season_template),
"previous_season": json.dumps(previous_season),
"number_of_episodes": number_of_episodes
}
# Constants for retry configuration
max_retries = 3
delay = 2 # seconds between retries
# step 3.11: Run the prompt with retry logic for LLM failures
success = False
for attempt in range(max_retries):
try:
# step 2.4: Run the prompt
print("Sending prompt to AI to create a new season")
season_data = manager.run_prompt(
# prompt_key="prompt_1 (Character Creation)",
prompt_key="prompt_2 (Season Creation)",
template_vars=prompt_2_vars,
ai_model=ai_model,
)
# Validate that posts_data is valid JSON and has expected structure
if isinstance(season_data, dict) and 'seasons' in season_data:
success = True
break
else:
print(f"Invalid response format. Attempt {attempt + 1}/{max_retries}")
except (json.JSONDecodeError, Exception) as e:
print(f"Error on attempt {attempt + 1}/{max_retries}: {str(e)}")
if attempt < max_retries - 1:
print(f"Retrying in {delay} seconds...")
time.sleep(delay)
continue
if not success:
print("Max retries reached. Failed to get valid response from LLM.")
return None
#print(f"season data is: {season_data}")
# step 2.8: append the season data to the master data
if len(seasons) <= 1 and seasons[0]["season_number"] == 0:
print("First season, so we need to initialize the seasons array")
agent_master_json = manager.initialize_seasons(
master_data=agent_master_json,
seasons_data=season_data
)
else:
print("Appending the season data to the master data")
agent_master_json = manager.append_seasons(
master_data=agent_master_json,
seasons_data=season_data,
)
# step 2.9: save the master data to a file
print("Saving the master data to a file")
manager.save_json_file(
save_path=master_file_path,
json_data=agent_master_json
)
print("Step 2 complete")
#return season_file_path
import models.gemini_model as gemini_model
if __name__ == "__main__":
ai_model = gemini_model.GeminiModel()
create_seasons_and_episodes(ai_model, "configs/CipherCat/CipherCat_master.json", 3)