655 lines
26 KiB
Python
655 lines
26 KiB
Python
#!/usr/bin/env python3
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"""
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Daily Journal Prompt Generator
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A tool that uses AI to generate creative writing prompts for daily journaling.
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"""
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import os
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import json
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import sys
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import argparse
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import configparser
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from datetime import datetime
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from typing import List, Dict, Any, Optional
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from pathlib import Path
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from openai import OpenAI
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from dotenv import load_dotenv
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from rich.console import Console
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from rich.panel import Panel
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from rich.table import Table
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from rich.prompt import Prompt, Confirm
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from rich.progress import Progress, SpinnerColumn, TextColumn
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class JournalPromptGenerator:
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"""Main class for generating journal prompts using AI."""
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def __init__(self, config_path: str = ".env"):
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"""Initialize the generator with configuration."""
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self.console = Console()
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self.config_path = config_path
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self.client = None
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self.historic_prompts = []
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self.pool_prompts = []
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self.prompt_template = ""
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self.settings = {}
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# Load configuration
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self._load_config()
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self._load_settings()
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# Load data files
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self._load_prompt_template()
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self._load_historic_prompts()
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self._load_pool_prompts()
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def _load_config(self):
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"""Load configuration from environment file."""
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load_dotenv(self.config_path)
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# Get API key
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self.api_key = os.getenv("DEEPSEEK_API_KEY") or os.getenv("OPENAI_API_KEY")
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if not self.api_key:
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self.console.print("[red]Error: No API key found in .env file[/red]")
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self.console.print("Please add DEEPSEEK_API_KEY or OPENAI_API_KEY to your .env file")
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sys.exit(1)
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# Get API base URL (default to DeepSeek)
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self.base_url = os.getenv("API_BASE_URL", "https://api.deepseek.com")
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# Get model (default to deepseek-chat)
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self.model = os.getenv("MODEL", "deepseek-chat")
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# Initialize OpenAI client
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self.client = OpenAI(
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api_key=self.api_key,
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base_url=self.base_url
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)
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def _load_settings(self):
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"""Load settings from settings.cfg configuration file."""
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config = configparser.ConfigParser()
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# Set default values
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self.settings = {
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'min_length': 500,
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'max_length': 1000,
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'num_prompts': 6
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}
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try:
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config.read('settings.cfg')
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if 'prompts' in config:
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prompts_section = config['prompts']
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# Load min_length
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if 'min_length' in prompts_section:
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self.settings['min_length'] = int(prompts_section['min_length'])
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# Load max_length
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if 'max_length' in prompts_section:
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self.settings['max_length'] = int(prompts_section['max_length'])
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# Load num_prompts
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if 'num_prompts' in prompts_section:
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self.settings['num_prompts'] = int(prompts_section['num_prompts'])
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except FileNotFoundError:
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self.console.print("[yellow]Warning: settings.cfg not found, using default values[/yellow]")
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except ValueError as e:
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self.console.print(f"[yellow]Warning: Invalid value in settings.cfg: {e}, using default values[/yellow]")
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except Exception as e:
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self.console.print(f"[yellow]Warning: Error reading settings.cfg: {e}, using default values[/yellow]")
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def _load_prompt_template(self):
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"""Load the prompt template from ds_prompt.txt and update with config values."""
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try:
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with open("ds_prompt.txt", "r") as f:
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template = f.read()
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# Replace hardcoded values with config values
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template = template.replace(
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"between 500 and 1000 characters",
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f"between {self.settings['min_length']} and {self.settings['max_length']} characters"
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)
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# Replace the number of prompts (6) with config value
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template = template.replace(
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"Please generate 6 writing prompts",
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f"Please generate {self.settings['num_prompts']} writing prompts"
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)
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self.prompt_template = template
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except FileNotFoundError:
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self.console.print("[red]Error: ds_prompt.txt not found[/red]")
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sys.exit(1)
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def _load_historic_prompts(self):
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"""Load historic prompts from JSON file."""
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try:
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with open("historic_prompts.json", "r") as f:
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self.historic_prompts = json.load(f)
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except FileNotFoundError:
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self.console.print("[yellow]Warning: historic_prompts.json not found, starting with empty history[/yellow]")
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self.historic_prompts = []
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except json.JSONDecodeError:
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self.console.print("[yellow]Warning: historic_prompts.json is corrupted, starting with empty history[/yellow]")
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self.historic_prompts = []
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def _save_historic_prompts(self):
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"""Save historic prompts to JSON file (keeping only first 60)."""
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# Keep only the first 60 prompts (newest are at the beginning)
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if len(self.historic_prompts) > 60:
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self.historic_prompts = self.historic_prompts[:60]
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with open("historic_prompts.json", "w") as f:
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json.dump(self.historic_prompts, f, indent=2)
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def _load_pool_prompts(self):
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"""Load pool prompts from JSON file."""
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try:
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with open("pool_prompts.json", "r") as f:
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self.pool_prompts = json.load(f)
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except FileNotFoundError:
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self.console.print("[yellow]Warning: pool_prompts.json not found, starting with empty pool[/yellow]")
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self.pool_prompts = []
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except json.JSONDecodeError:
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self.console.print("[yellow]Warning: pool_prompts.json is corrupted, starting with empty pool[/yellow]")
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self.pool_prompts = []
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def _save_pool_prompts(self):
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"""Save pool prompts to JSON file."""
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with open("pool_prompts.json", "w") as f:
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json.dump(self.pool_prompts, f, indent=2)
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def add_prompts_to_pool(self, prompts: List[Dict[str, str]]):
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"""Add generated prompts to the pool."""
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for prompt_dict in prompts:
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# Extract prompt text
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prompt_key = list(prompt_dict.keys())[0]
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prompt_text = prompt_dict[prompt_key]
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# Add to pool with a pool-specific key
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pool_key = f"poolprompt{len(self.pool_prompts):03d}"
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self.pool_prompts.append({
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pool_key: prompt_text
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})
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self._save_pool_prompts()
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self.console.print(f"[green]Added {len(prompts)} prompts to pool[/green]")
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def draw_prompts_from_pool(self, count: int = None) -> List[Dict[str, str]]:
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"""Draw prompts from the pool (removes them from pool)."""
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if count is None:
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count = self.settings['num_prompts']
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if len(self.pool_prompts) < count:
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self.console.print(f"[yellow]Warning: Pool only has {len(self.pool_prompts)} prompts, requested {count}[/yellow]")
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count = len(self.pool_prompts)
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if count == 0:
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self.console.print("[red]Error: Pool is empty[/red]")
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return []
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# Draw prompts from the beginning of the pool
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drawn_prompts = self.pool_prompts[:count]
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self.pool_prompts = self.pool_prompts[count:]
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# Save updated pool
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self._save_pool_prompts()
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# Renumber remaining pool prompts
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self._renumber_pool_prompts()
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return drawn_prompts
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def _renumber_pool_prompts(self):
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"""Renumber pool prompts to maintain sequential numbering."""
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renumbered_prompts = []
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for i, prompt_dict in enumerate(self.pool_prompts):
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# Get the prompt text from the first key in the dictionary
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prompt_key = list(prompt_dict.keys())[0]
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prompt_text = prompt_dict[prompt_key]
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# Create new prompt with correct numbering
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new_prompt_key = f"poolprompt{i:03d}"
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renumbered_prompts.append({
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new_prompt_key: prompt_text
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})
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self.pool_prompts = renumbered_prompts
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def show_pool_stats(self):
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"""Show statistics about the prompt pool."""
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total_prompts = len(self.pool_prompts)
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table = Table(title="Prompt Pool Statistics")
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table.add_column("Metric", style="cyan")
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table.add_column("Value", style="green")
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table.add_row("Prompts in pool", str(total_prompts))
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table.add_row("Prompts per session", str(self.settings['num_prompts']))
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# Get cached_pool_volume from settings if available
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cached_pool_volume = 20 # Default
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try:
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config = configparser.ConfigParser()
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config.read('settings.cfg')
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if 'prefetch' in config and 'cached_pool_volume' in config['prefetch']:
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cached_pool_volume = int(config['prefetch']['cached_pool_volume'])
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except:
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pass
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table.add_row("Target pool size", str(cached_pool_volume))
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table.add_row("Available sessions", str(total_prompts // self.settings['num_prompts']))
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self.console.print(table)
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def _renumber_prompts(self):
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"""Renumber all prompts to maintain prompt00-prompt59 range."""
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renumbered_prompts = []
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for i, prompt_dict in enumerate(self.historic_prompts):
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# Get the prompt text from the first key in the dictionary
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prompt_key = list(prompt_dict.keys())[0]
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prompt_text = prompt_dict[prompt_key]
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# Create new prompt with correct numbering
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new_prompt_key = f"prompt{i:02d}"
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renumbered_prompts.append({
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new_prompt_key: prompt_text
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})
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self.historic_prompts = renumbered_prompts
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def add_prompt_to_history(self, prompt_text: str):
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"""
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Add a single prompt to the historic prompts cyclic buffer.
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The new prompt becomes prompt00, all others shift down, and prompt59 is discarded.
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"""
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# Create the new prompt object
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new_prompt = {
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"prompt00": prompt_text
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}
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# Shift all existing prompts down by one position
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# We'll create a new list starting with the new prompt
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updated_prompts = [new_prompt]
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# Add all existing prompts, shifting their numbers down by one
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for i, prompt_dict in enumerate(self.historic_prompts):
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if i >= 59: # We only keep 60 prompts total (00-59)
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break
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# Get the prompt text
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prompt_key = list(prompt_dict.keys())[0]
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prompt_text = prompt_dict[prompt_key]
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# Create prompt with new number (shifted down by one)
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new_prompt_key = f"prompt{i+1:02d}"
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updated_prompts.append({
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new_prompt_key: prompt_text
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})
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self.historic_prompts = updated_prompts
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self._save_historic_prompts()
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def _prepare_prompt(self) -> str:
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"""Prepare the full prompt with historic context."""
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# Format historic prompts for the AI
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if self.historic_prompts:
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historic_context = json.dumps(self.historic_prompts, indent=2)
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full_prompt = f"{self.prompt_template}\n\nPrevious prompts:\n{historic_context}"
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else:
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full_prompt = self.prompt_template
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return full_prompt
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def _parse_ai_response(self, response_content: str) -> List[Dict[str, str]]:
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"""
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Parse the AI response to extract new prompts.
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Expected format: JSON array with keys "newprompt0" to "newpromptN" where N = num_prompts-1
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Handles DeepSeek API responses that may include backticks and leading "json" string.
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"""
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# First, try to clean up the response content
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cleaned_content = self._clean_ai_response(response_content)
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try:
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# Try to parse as JSON
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data = json.loads(cleaned_content)
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# Convert to list of prompt dictionaries
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new_prompts = []
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for i in range(self.settings['num_prompts']):
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key = f"newprompt{i}"
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if key in data:
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prompt_text = data[key]
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prompt_obj = {
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f"prompt{len(self.historic_prompts) + i:02d}": prompt_text
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}
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new_prompts.append(prompt_obj)
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# If no prompts were found in the JSON, provide debug info
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if not new_prompts:
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self.console.print("\n[yellow]Warning: JSON parsed successfully but no prompts found with expected keys[/yellow]")
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self.console.print(f"[yellow]Expected keys: newprompt0 to newprompt{self.settings['num_prompts']-1}[/yellow]")
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self.console.print(f"[yellow]Keys found in JSON: {list(data.keys())}[/yellow]")
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self.console.print(f"[yellow]Full JSON data: {json.dumps(data, indent=2)}[/yellow]")
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return new_prompts
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except json.JSONDecodeError:
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# If not valid JSON, try to extract prompts from text
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self.console.print("[yellow]Warning: AI response is not valid JSON, attempting to extract prompts...[/yellow]")
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self.console.print(f"[yellow]Full response content for debugging:[/yellow]")
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self.console.print(f"[yellow]{response_content}[/yellow]")
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self.console.print(f"[yellow]Cleaned content: {cleaned_content}[/yellow]")
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# Look for patterns in the text
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lines = response_content.strip().split('\n')
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new_prompts = []
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for i, line in enumerate(lines[:self.settings['num_prompts']]): # Take first N non-empty lines
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line = line.strip()
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if line and len(line) > 50: # Reasonable minimum length for a prompt
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prompt_obj = {
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f"prompt{len(self.historic_prompts) + i:02d}": line
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}
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new_prompts.append(prompt_obj)
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# If still no prompts could be parsed, provide detailed debug information
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if not new_prompts:
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self.console.print("\n[red]ERROR: Could not extract any prompts from AI response[/red]")
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self.console.print("[red]="*60 + "[/red]")
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self.console.print("[bold red]DEBUG INFORMATION:[/bold red]")
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self.console.print("[red]="*60 + "[/red]")
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# Show response metadata
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self.console.print(f"[yellow]Response length: {len(response_content)} characters[/yellow]")
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self.console.print(f"[yellow]Expected number of prompts: {self.settings['num_prompts']}[/yellow]")
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# Show first 500 characters of response
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preview = response_content[:500]
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if len(response_content) > 500:
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preview += "..."
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self.console.print(f"[yellow]Response preview (first 500 chars):[/yellow]")
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self.console.print(f"[yellow]{preview}[/yellow]")
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# Show cleaned content analysis
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self.console.print(f"[yellow]Cleaned content length: {len(cleaned_content)} characters[/yellow]")
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self.console.print(f"[yellow]Cleaned content preview: {cleaned_content[:200]}...[/yellow]")
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# Show line analysis
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self.console.print(f"[yellow]Number of lines in response: {len(lines)}[/yellow]")
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self.console.print(f"[yellow]First 5 lines:[/yellow]")
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for i, line in enumerate(lines[:5]):
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self.console.print(f"[yellow] Line {i+1}: {line[:100]}{'...' if len(line) > 100 else ''}[/yellow]")
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# Show JSON parsing attempt details
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self.console.print(f"[yellow]JSON parsing attempted on cleaned content:[/yellow]")
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self.console.print(f"[yellow] Cleaned content starts with: {cleaned_content[:50]}...[/yellow]")
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# Show full payload for debugging
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self.console.print("\n[bold red]FULL PAYLOAD DUMP:[/bold red]")
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self.console.print("[red]" + "="*60 + "[/red]")
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self.console.print(f"[red]{response_content}[/red]")
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self.console.print("[red]" + "="*60 + "[/red]")
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return new_prompts
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def _clean_ai_response(self, response_content: str) -> str:
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"""
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Clean up AI response content to handle common formatting issues from DeepSeek API.
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Handles:
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1. Leading/trailing backticks (```json ... ```)
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2. Leading "json" string on its own line
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3. Extra whitespace and newlines
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"""
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content = response_content.strip()
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# Remove leading/trailing backticks (```json ... ```)
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if content.startswith('```'):
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# Find the first newline after the opening backticks
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lines = content.split('\n')
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if len(lines) > 1:
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# Check if first line contains "json" or other language specifier
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first_line = lines[0].strip()
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if 'json' in first_line.lower() or first_line == '```':
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# Remove the first line (```json or ```)
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content = '\n'.join(lines[1:])
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# Remove trailing backticks if present
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if content.endswith('```'):
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content = content[:-3].rstrip()
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# Remove leading "json" string on its own line (case-insensitive)
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lines = content.split('\n')
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if len(lines) > 0:
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first_line = lines[0].strip().lower()
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if first_line == 'json':
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content = '\n'.join(lines[1:])
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# Also handle the case where "json" might be at the beginning of the first line
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# but not the entire line (e.g., "json\n{...}")
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content = content.strip()
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if content.lower().startswith('json\n'):
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content = content[4:].strip()
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return content.strip()
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def generate_prompts(self) -> List[Dict[str, str]]:
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"""Generate new journal prompts using AI."""
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self.console.print("\n[cyan]Generating new journal prompts...[/cyan]")
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# Prepare the prompt
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full_prompt = self._prepare_prompt()
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# Show progress
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with Progress(
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SpinnerColumn(),
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TextColumn("[progress.description]{task.description}"),
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transient=True,
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) as progress:
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task = progress.add_task("Calling AI API...", total=None)
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try:
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# Call the AI API
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response = self.client.chat.completions.create(
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model=self.model,
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messages=[
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{"role": "system", "content": "You are a creative writing assistant that generates journal prompts. Always respond with valid JSON."},
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{"role": "user", "content": full_prompt}
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],
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temperature=0.7,
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max_tokens=2000
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)
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response_content = response.choices[0].message.content
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except Exception as e:
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self.console.print(f"[red]Error calling AI API: {e}[/red]")
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self.console.print(f"[yellow]Full prompt sent to API (first 500 chars):[/yellow]")
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self.console.print(f"[yellow]{full_prompt[:500]}...[/yellow]")
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return []
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# Parse the response
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new_prompts = self._parse_ai_response(response_content)
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if not new_prompts:
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self.console.print("[red]Error: Could not parse any prompts from AI response[/red]")
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return []
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# Note: Prompts are NOT added to historic_prompts here
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# They will be added only when the user chooses one in interactive mode
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# via the add_prompt_to_history() method
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|
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return new_prompts
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|
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def display_prompts(self, prompts: List[Dict[str, str]]):
|
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"""Display generated prompts in a nice format."""
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self.console.print("\n" + "="*60)
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self.console.print("[bold green]✨ NEW JOURNAL PROMPTS GENERATED ✨[/bold green]")
|
|
self.console.print("="*60 + "\n")
|
|
|
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for i, prompt_dict in enumerate(prompts, 1):
|
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# Extract prompt text (key is like "prompt60", "prompt61", etc.)
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|
prompt_key = list(prompt_dict.keys())[0]
|
|
prompt_text = prompt_dict[prompt_key]
|
|
|
|
# Create a panel for each prompt
|
|
panel = Panel(
|
|
f"[cyan]{prompt_text}[/cyan]",
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title=f"[bold]Prompt #{i}[/bold]",
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|
border_style="blue",
|
|
padding=(1, 2)
|
|
)
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|
self.console.print(panel)
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|
self.console.print() # Empty line between prompts
|
|
|
|
def show_history_stats(self):
|
|
"""Show statistics about prompt history."""
|
|
total_prompts = len(self.historic_prompts)
|
|
|
|
table = Table(title="Prompt History Statistics")
|
|
table.add_column("Metric", style="cyan")
|
|
table.add_column("Value", style="green")
|
|
|
|
table.add_row("Total prompts in history", str(total_prompts))
|
|
table.add_row("History capacity", "60 prompts")
|
|
table.add_row("Available slots", str(max(0, 60 - total_prompts)))
|
|
|
|
self.console.print(table)
|
|
|
|
def interactive_mode(self):
|
|
"""Run in interactive mode with user prompts."""
|
|
self.console.print(Panel.fit(
|
|
"[bold]Daily Journal Prompt Generator[/bold]\n"
|
|
"Generate creative writing prompts for your journal practice",
|
|
border_style="green"
|
|
))
|
|
|
|
while True:
|
|
self.console.print("\n[bold]Options:[/bold]")
|
|
self.console.print("1. Draw prompts from pool (no API call)")
|
|
self.console.print("2. Fill prompt pool using API")
|
|
self.console.print("3. View pool statistics")
|
|
self.console.print("4. View history statistics")
|
|
self.console.print("5. Exit")
|
|
|
|
choice = Prompt.ask("\nEnter your choice", choices=["1", "2", "3", "4", "5"], default="1")
|
|
|
|
if choice == "1":
|
|
# Draw prompts from pool
|
|
drawn_prompts = self.draw_prompts_from_pool()
|
|
if drawn_prompts:
|
|
self.display_prompts(drawn_prompts)
|
|
|
|
# Ask if user wants to save a prompt
|
|
if Confirm.ask("\nWould you like to save one of these prompts to a file?"):
|
|
prompt_num = Prompt.ask(
|
|
"Which prompt number would you like to save?",
|
|
choices=[str(i) for i in range(1, len(drawn_prompts) + 1)],
|
|
default="1"
|
|
)
|
|
|
|
prompt_idx = int(prompt_num) - 1
|
|
prompt_dict = drawn_prompts[prompt_idx]
|
|
prompt_key = list(prompt_dict.keys())[0]
|
|
prompt_text = prompt_dict[prompt_key]
|
|
|
|
# Save to file
|
|
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
|
filename = f"journal_prompt_{timestamp}.txt"
|
|
|
|
with open(filename, "w") as f:
|
|
f.write(f"Journal Prompt - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
|
|
f.write("="*50 + "\n\n")
|
|
f.write(prompt_text)
|
|
f.write("\n\n" + "="*50 + "\n")
|
|
f.write("Happy writing! ✍️\n")
|
|
|
|
self.console.print(f"[green]Prompt saved to {filename}[/green]")
|
|
|
|
# Add the chosen prompt to historic prompts cyclic buffer
|
|
self.add_prompt_to_history(prompt_text)
|
|
self.console.print(f"[green]Prompt added to history as prompt00[/green]")
|
|
|
|
elif choice == "2":
|
|
# Fill prompt pool using API
|
|
new_prompts = self.generate_prompts()
|
|
if new_prompts:
|
|
self.add_prompts_to_pool(new_prompts)
|
|
self.console.print(f"[green]Added {len(new_prompts)} prompts to pool[/green]")
|
|
|
|
elif choice == "3":
|
|
self.show_pool_stats()
|
|
|
|
elif choice == "4":
|
|
self.show_history_stats()
|
|
|
|
elif choice == "5":
|
|
self.console.print("[green]Goodbye! Happy journaling! 📓[/green]")
|
|
break
|
|
|
|
|
|
def main():
|
|
"""Main entry point for the script."""
|
|
parser = argparse.ArgumentParser(description="Generate journal prompts using AI")
|
|
parser.add_argument(
|
|
"--interactive", "-i",
|
|
action="store_true",
|
|
help="Run in interactive mode"
|
|
)
|
|
parser.add_argument(
|
|
"--config", "-c",
|
|
default=".env",
|
|
help="Path to configuration file (default: .env)"
|
|
)
|
|
parser.add_argument(
|
|
"--stats", "-s",
|
|
action="store_true",
|
|
help="Show history statistics"
|
|
)
|
|
parser.add_argument(
|
|
"--pool-stats", "-p",
|
|
action="store_true",
|
|
help="Show pool statistics"
|
|
)
|
|
parser.add_argument(
|
|
"--fill-pool", "-f",
|
|
action="store_true",
|
|
help="Fill prompt pool using API"
|
|
)
|
|
|
|
args = parser.parse_args()
|
|
|
|
# Initialize generator
|
|
generator = JournalPromptGenerator(config_path=args.config)
|
|
|
|
if args.stats:
|
|
generator.show_history_stats()
|
|
elif args.pool_stats:
|
|
generator.show_pool_stats()
|
|
elif args.fill_pool:
|
|
# Fill prompt pool using API
|
|
new_prompts = generator.generate_prompts()
|
|
if new_prompts:
|
|
generator.add_prompts_to_pool(new_prompts)
|
|
generator.console.print(f"[green]Added {len(new_prompts)} prompts to pool[/green]")
|
|
elif args.interactive:
|
|
generator.interactive_mode()
|
|
else:
|
|
# Default: draw prompts from pool (no API call)
|
|
drawn_prompts = generator.draw_prompts_from_pool()
|
|
if drawn_prompts:
|
|
generator.display_prompts(drawn_prompts)
|
|
generator.console.print("[yellow]Note: These prompts were drawn from the pool. Use --fill-pool to add more prompts.[/yellow]")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|
|
|