Spaces:
Build error
Build error
Update selfapi_writer.py
Browse files- selfapi_writer.py +227 -188
selfapi_writer.py
CHANGED
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@@ -3,7 +3,7 @@ import streamlit as st
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import json
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import os
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import tiktoken
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from typing import Dict, Any, Optional, List, Tuple
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class SelfApiWriter:
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def __init__(self):
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@@ -31,6 +31,55 @@ class SelfApiWriter:
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# Token encoding
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self.tokenizer = tiktoken.encoding_for_model("gpt-4")
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def _truncate_blueprint(self, blueprint: str, max_tokens: int = 15000) -> Tuple[str, str]:
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"""
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Intelligently truncate the blueprint to fit within token limits
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def process_blueprint(self, blueprint: str) -> Dict[str, Any]:
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"""Process blueprint to extract complete writing guidelines and structure"""
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try:
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except Exception as e:
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st.error(f"Error processing blueprint: {str(e)}")
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if not self.initialized:
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raise ValueError("Writer not initialized. Process blueprint first.")
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# Retrieve full original blueprint
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full_blueprint = self.context.get('full_original_blueprint', '')
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system_prompt = f"""You are writing the introduction for '{self.book_info.get('title', 'Untitled Book')}'
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Full Blueprint Context:
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{full_blueprint}
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Core Vision: {self.book_info.get('vision', '')}
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Target Audience: {self.book_info.get('target_audience', '')}
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Writing Style: {self.writing_guidelines.get('style', 'Academic and clear')}
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Tone: {self.writing_guidelines.get('tone', 'Professional')}
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"""
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response = self.client.messages.create(
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model=self.model,
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max_tokens=2000,
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temperature=0.7,
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system=system_prompt,
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messages=[
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{
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"role": "user",
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"content": f"""Write the introduction: "{self.book_structure.get('introduction', 'Book Introduction')}"
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Iteration {iteration} of {self.max_iterations}
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Create an engaging opening that:
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1. Introduces the book's core concept
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2. Speaks directly to the target audience
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3. Outlines the book's approach and structure
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4. Sets the tone for the entire book
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Follow ALL provided guidelines for style, tone, and content."""
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}
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]
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)
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new_content = response.content[0].text
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full_intro_content += new_content
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# Stopping criteria
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if (len(full_intro_content.split()) > self.pages_per_chapter * self.words_per_page
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or iteration == self.max_iterations):
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break
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self.
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return full_intro_content
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def write_chapter(self, part_idx: int, chapter_idx: int) -> str:
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"""Generate a chapter using extracted guidelines"""
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if not self.initialized:
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raise ValueError("Writer not initialized. Process blueprint first.")
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# Retrieve full original blueprint
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full_blueprint = self.context.get('full_original_blueprint', '')
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part = self.book_structure["parts"][part_idx]
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chapter_title = part["chapters"][chapter_idx]
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part_title = part["title"]
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# Iterative generation for chapter
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full_chapter_content = ""
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for iteration in range(1, self.max_iterations + 1):
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# Prepare system prompt with full context
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system_prompt = f"""You are writing '{self.book_info.get('title', 'Untitled Book')}'
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Full Blueprint Context:
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{full_blueprint}
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Chapter: {chapter_title}
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Part: {part_title}
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Target Audience: {self.book_info.get('target_audience', '')}
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Writing Style: {self.writing_guidelines.get('style', 'Academic and clear')}
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Tone: {self.writing_guidelines.get('tone', 'Professional')}
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Chapter Structure Requirements:
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{', '.join(self.writing_guidelines.get('chapter_structure', []))}
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Content Requirements:
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{', '.join(self.writing_guidelines.get('content_requirements', []))}"""
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system=system_prompt,
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messages=[
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{
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"role": "user",
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"content": f"""Write Chapter: "{chapter_title}" in Part {part_idx + 1}: "{part_title}"
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Iteration {iteration} of {self.max_iterations}
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Follow ALL provided guidelines for:
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1. Structure and organization
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2. Style and tone
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3. Practical elements and exercises
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4. Content depth and requirements
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Begin writing the complete chapter now."""
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}
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]
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new_content = response.content[0].text
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full_chapter_content += new_content
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# Stopping criteria
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if (len(full_chapter_content.split()) > self.pages_per_chapter * self.words_per_page
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or iteration == self.max_iterations):
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break
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# Store in context
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if 'parts' not in self.context:
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self.context['parts'] = []
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'content': full_chapter_content
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}
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def get_current_structure(self) -> Optional[Dict[str, Any]]:
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"""Get current book structure and guidelines"""
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import json
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import os
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import tiktoken
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from typing import Dict, Any, Optional, List, Tuple, Generator
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class SelfApiWriter:
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def __init__(self):
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# Token encoding
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self.tokenizer = tiktoken.encoding_for_model("gpt-4")
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def _generate_with_progress(self,
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generate_func: callable,
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title: str,
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total_steps: int = 20) -> str:
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"""
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Generate content with progress tracking
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:param generate_func: Function to generate content
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:param title: Title for progress display
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:param total_steps: Total number of generation steps
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:return: Generated content
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"""
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# Create Streamlit progress bar
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progress_bar = st.progress(0, text=f"Generating {title}...")
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# Tracking variables
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full_content = ""
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try:
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for iteration in range(1, total_steps + 1):
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# Update progress
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progress = iteration / total_steps
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progress_bar.progress(
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min(int(progress * 100), 100),
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text=f"Generating {title}... (Iteration {iteration}/{total_steps})"
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)
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# Generate content
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new_content = generate_func(iteration)
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full_content += new_content
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# Stopping criteria
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if (len(full_content.split()) > self.pages_per_chapter * self.words_per_page
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or iteration == total_steps):
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break
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# Complete progress
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progress_bar.progress(100, text=f"Finished generating {title}")
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return full_content
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except Exception as e:
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st.error(f"Error generating {title}: {e}")
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progress_bar.empty()
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return f"Error generating {title}: {e}"
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finally:
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# Ensure progress bar is cleared
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progress_bar.empty()
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def _truncate_blueprint(self, blueprint: str, max_tokens: int = 15000) -> Tuple[str, str]:
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"""
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Intelligently truncate the blueprint to fit within token limits
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def process_blueprint(self, blueprint: str) -> Dict[str, Any]:
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"""Process blueprint to extract complete writing guidelines and structure"""
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try:
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# Add a spinner during blueprint processing
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with st.spinner("Processing blueprint..."):
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# Truncate blueprint if too long
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truncated_blueprint, overview_summary = self._truncate_blueprint(blueprint)
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# Prepare system prompt for blueprint processing
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system_prompt = """You are an expert book planner analyzing a blueprint.
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Extract ALL relevant information and return it in a structured format.
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Include:
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1. Book title and high-level information
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2. Complete structure (introduction, parts, chapters)
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3. All writing style guidelines
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4. Content requirements and constraints
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5. Target audience details
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6. Chapter structure requirements
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7. Tone and voice requirements
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8. Any other relevant guidelines or requirements
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Return a JSON structure with the following format:
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{
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"book_info": {
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"title": "Book title",
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"vision": "Core vision/purpose",
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"target_audience": "Detailed audience description"
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},
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"structure": {
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"introduction": "Introduction title",
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"parts": [
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{
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"title": "Part title",
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"chapters": ["Chapter 1 title", "Chapter 2 title", ...]
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}
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]
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},
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"guidelines": {
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"style": "Writing style description",
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"tone": "Tone requirements",
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"chapter_structure": ["Required chapter components"],
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"content_requirements": ["Specific content requirements"],
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"practical_elements": ["Required practical elements"]
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},
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"overview_summary": "Summary of truncated sections"
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}"""
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prompt = f"""Analyze this book blueprint and extract ALL information:
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{truncated_blueprint}
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{overview_summary}
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Return only the JSON structure without any additional text."""
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response = self.client.messages.create(
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model=self.model,
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max_tokens=4000,
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temperature=0,
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system=system_prompt,
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messages=[{"role": "user", "content": prompt}]
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)
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extracted_info = json.loads(response.content[0].text)
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# Store full original blueprint for reference
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extracted_info['full_original_blueprint'] = blueprint
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# Store extracted information
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self.book_info = extracted_info["book_info"]
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self.book_structure = extracted_info["structure"]
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self.writing_guidelines = extracted_info["guidelines"]
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self.initialized = True
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# Store full blueprint in context
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self.context['full_original_blueprint'] = blueprint
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return extracted_info
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except Exception as e:
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st.error(f"Error processing blueprint: {str(e)}")
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if not self.initialized:
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raise ValueError("Writer not initialized. Process blueprint first.")
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def generate_intro_iteration(iteration: int) -> str:
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"""Generate a single iteration of the introduction"""
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# Retrieve full original blueprint
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full_blueprint = self.context.get('full_original_blueprint', '')
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# Prepare system prompt with full context
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system_prompt = f"""You are writing the introduction for '{self.book_info.get('title', 'Untitled Book')}'
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Full Blueprint Context:
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{full_blueprint}
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| 229 |
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+
Core Vision: {self.book_info.get('vision', '')}
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+
Target Audience: {self.book_info.get('target_audience', '')}
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+
Writing Style: {self.writing_guidelines.get('style', 'Academic and clear')}
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+
Tone: {self.writing_guidelines.get('tone', 'Professional')}
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+
"""
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+
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+
response = self.client.messages.create(
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+
model=self.model,
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+
max_tokens=2000,
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+
temperature=0.7,
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+
system=system_prompt,
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| 242 |
+
messages=[
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+
{
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+
"role": "user",
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| 245 |
+
"content": f"""Write the introduction: "{self.book_structure.get('introduction', 'Book Introduction')}"
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| 246 |
+
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| 247 |
+
Iteration {iteration} of {self.max_iterations}
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| 248 |
+
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| 249 |
+
Create an engaging opening that:
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| 250 |
+
1. Introduces the book's core concept
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| 251 |
+
2. Speaks directly to the target audience
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| 252 |
+
3. Outlines the book's approach and structure
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| 253 |
+
4. Sets the tone for the entire book
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| 254 |
+
|
| 255 |
+
Follow ALL provided guidelines for style, tone, and content."""
|
| 256 |
+
}
|
| 257 |
+
]
|
| 258 |
+
)
|
| 259 |
+
|
| 260 |
+
return response.content[0].text
|
| 261 |
+
|
| 262 |
+
# Generate with progress tracking
|
| 263 |
+
full_intro_content = self._generate_with_progress(
|
| 264 |
+
generate_intro_iteration,
|
| 265 |
+
"Introduction"
|
| 266 |
+
)
|
| 267 |
+
|
| 268 |
+
# Store and return
|
| 269 |
+
self.context['introduction'] = full_intro_content
|
| 270 |
+
return full_intro_content
|
| 271 |
|
| 272 |
def write_chapter(self, part_idx: int, chapter_idx: int) -> str:
|
| 273 |
"""Generate a chapter using extracted guidelines"""
|
| 274 |
if not self.initialized:
|
| 275 |
raise ValueError("Writer not initialized. Process blueprint first.")
|
| 276 |
|
| 277 |
+
def generate_chapter_iteration(iteration: int) -> str:
|
| 278 |
+
"""Generate a single iteration of the chapter"""
|
| 279 |
# Retrieve full original blueprint
|
| 280 |
full_blueprint = self.context.get('full_original_blueprint', '')
|
| 281 |
|
| 282 |
part = self.book_structure["parts"][part_idx]
|
| 283 |
chapter_title = part["chapters"][chapter_idx]
|
| 284 |
part_title = part["title"]
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| 285 |
|
| 286 |
+
# Prepare system prompt with full context
|
| 287 |
+
system_prompt = f"""You are writing '{self.book_info.get('title', 'Untitled Book')}'
|
| 288 |
+
Full Blueprint Context:
|
| 289 |
+
{full_blueprint}
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|
| 290 |
|
| 291 |
+
Chapter: {chapter_title}
|
| 292 |
+
Part: {part_title}
|
| 293 |
|
| 294 |
+
Target Audience: {self.book_info.get('target_audience', '')}
|
| 295 |
+
Writing Style: {self.writing_guidelines.get('style', 'Academic and clear')}
|
| 296 |
+
Tone: {self.writing_guidelines.get('tone', 'Professional')}
|
| 297 |
|
| 298 |
+
Chapter Structure Requirements:
|
| 299 |
+
{', '.join(self.writing_guidelines.get('chapter_structure', []))}
|
|
|
|
|
|
|
| 300 |
|
| 301 |
+
Content Requirements:
|
| 302 |
+
{', '.join(self.writing_guidelines.get('content_requirements', []))}"""
|
| 303 |
+
|
| 304 |
+
response = self.client.messages.create(
|
| 305 |
+
model=self.model,
|
| 306 |
+
max_tokens=2000,
|
| 307 |
+
temperature=0.7,
|
| 308 |
+
system=system_prompt,
|
| 309 |
+
messages=[
|
| 310 |
+
{
|
| 311 |
+
"role": "user",
|
| 312 |
+
"content": f"""Write Chapter: "{chapter_title}" in Part {part_idx + 1}: "{part_title}"
|
| 313 |
+
|
| 314 |
+
Iteration {iteration} of {self.max_iterations}
|
| 315 |
+
|
| 316 |
+
Follow ALL provided guidelines for:
|
| 317 |
+
1. Structure and organization
|
| 318 |
+
2. Style and tone
|
| 319 |
+
3. Practical elements and exercises
|
| 320 |
+
4. Content depth and requirements
|
| 321 |
+
|
| 322 |
+
Begin writing the complete chapter now."""
|
| 323 |
+
}
|
| 324 |
+
]
|
| 325 |
+
)
|
| 326 |
|
| 327 |
+
return response.content[0].text
|
| 328 |
+
|
| 329 |
+
# Generate with progress tracking
|
| 330 |
+
full_chapter_content = self._generate_with_progress(
|
| 331 |
+
generate_chapter_iteration,
|
| 332 |
+
f"Chapter: {self.book_structure['parts'][part_idx]['chapters'][chapter_idx]}"
|
| 333 |
+
)
|
| 334 |
+
|
| 335 |
+
# Store in context
|
| 336 |
+
if 'parts' not in self.context:
|
| 337 |
+
self.context['parts'] = []
|
| 338 |
+
|
| 339 |
+
while len(self.context['parts']) <= part_idx:
|
| 340 |
+
self.context['parts'].append({'chapters': []})
|
| 341 |
+
|
| 342 |
+
while len(self.context['parts'][part_idx]['chapters']) <= chapter_idx:
|
| 343 |
+
self.context['parts'][part_idx]['chapters'].append({})
|
| 344 |
+
|
| 345 |
+
self.context['parts'][part_idx]['chapters'][chapter_idx] = {
|
| 346 |
+
'title': self.book_structure['parts'][part_idx]['chapters'][chapter_idx],
|
| 347 |
+
'content': full_chapter_content
|
| 348 |
+
}
|
| 349 |
+
|
| 350 |
+
return full_chapter_content
|
| 351 |
|
| 352 |
def get_current_structure(self) -> Optional[Dict[str, Any]]:
|
| 353 |
"""Get current book structure and guidelines"""
|