TravelContentCreator/utils/prompt_manager.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Manages the construction of prompts for different AI generation tasks.
"""

import os
import traceback
import logging # Add logging
from .resource_loader import ResourceLoader # Use relative import within the same package

class PromptManager:
    """Handles the loading and construction of prompts."""

    def __init__(self, 
                 topic_system_prompt_path: str, 
                 topic_user_prompt_path: str, 
                 content_system_prompt_path: str, 
                 prompts_dir: str = None,  # 兼容旧配置
                 prompts_config: list = None,  # 新的配置方式 
                 resource_dir_config: list = None,
                 topic_gen_num: int = 1, # Default values if needed
                 topic_gen_date: str = "" 
                 ):
        self.topic_system_prompt_path = topic_system_prompt_path
        self.topic_user_prompt_path = topic_user_prompt_path
        self.content_system_prompt_path = content_system_prompt_path
        self.prompts_dir = prompts_dir  # 保留兼容旧配置
        self.prompts_config = prompts_config or []  # 新的配置方式
        self.resource_dir_config = resource_dir_config or []
        self.topic_gen_num = topic_gen_num
        self.topic_gen_date = topic_gen_date
        
        # 缓存加载的文件内容
        self._style_cache = {}
        self._demand_cache = {}
        self._refer_cache = {}
        self._system_prompt_cache = {}  # 新增：系统提示词缓存
        self._user_prompt_cache = {}    # 新增：用户提示词缓存
        self._dateline_cache = None     # 新增：日期线缓存
        
        # 初始化时预加载配置的文件
        self._preload_prompt_files()
    
    def _preload_prompt_files(self):
        """预加载配置中的提示文件到缓存"""
        # 预加载系统提示词和用户提示词文件
        if self.topic_system_prompt_path and os.path.exists(self.topic_system_prompt_path):
            content = ResourceLoader.load_file_content(self.topic_system_prompt_path)
            if content:
                self._system_prompt_cache["topic"] = content
                logging.info(f"预加载系统提示词: {self.topic_system_prompt_path}")
        
        if self.topic_user_prompt_path and os.path.exists(self.topic_user_prompt_path):
            content = ResourceLoader.load_file_content(self.topic_user_prompt_path)
            if content:
                self._user_prompt_cache["topic"] = content
                logging.info(f"预加载用户提示词: {self.topic_user_prompt_path}")
        
        if self.content_system_prompt_path and os.path.exists(self.content_system_prompt_path):
            content = ResourceLoader.load_file_content(self.content_system_prompt_path)
            if content:
                self._system_prompt_cache["content"] = content
                logging.info(f"预加载内容系统提示词: {self.content_system_prompt_path}")
        
        # 预加载日期线文件
        if self.topic_user_prompt_path:
            user_prompt_dir = os.path.dirname(self.topic_user_prompt_path)
            dateline_path = os.path.join(user_prompt_dir, "2025各月节日宣传节点时间表.md")
            if os.path.exists(dateline_path):
                self._dateline_cache = ResourceLoader.load_file_content(dateline_path)
                logging.info(f"预加载日期线文件: {dateline_path}")
        
        # 加载prompts_config配置的文件
        if not self.prompts_config:
            return
        
        for config_item in self.prompts_config:
            prompt_type = config_item.get("type", "").lower()
            file_paths = config_item.get("file_path", [])
            
            if prompt_type == "style":
                for path in file_paths:
                    if os.path.exists(path):
                        filename = os.path.basename(path)
                        content = ResourceLoader.load_file_content(path)
                        if content:
                            self._style_cache[filename] = content
                            name_without_ext = os.path.splitext(filename)[0]
                            self._style_cache[name_without_ext] = content  # 同时缓存不带扩展名的版本
            
            elif prompt_type == "demand":
                for path in file_paths:
                    if os.path.exists(path):
                        filename = os.path.basename(path)
                        content = ResourceLoader.load_file_content(path)
                        if content:
                            self._demand_cache[filename] = content
                            name_without_ext = os.path.splitext(filename)[0]
                            self._demand_cache[name_without_ext] = content  # 同时缓存不带扩展名的版本
            
            elif prompt_type == "refer":
                for path in file_paths:
                    if os.path.exists(path):
                        filename = os.path.basename(path)
                        content = ResourceLoader.load_file_content(path)
                        if content:
                            self._refer_cache[filename] = content

    def _get_style_content(self, style_name):
        """获取Style文件内容，优先从缓存获取，如果不存在则尝试从目录加载"""
        # 首先检查缓存
        if style_name in self._style_cache:
            return self._style_cache[style_name]
        
        # 确保有扩展名
        if not style_name.lower().endswith('.txt'):
            style_file = f"{style_name}.txt"
        else:
            style_file = style_name
            style_name = os.path.splitext(style_name)[0]  # 移除扩展名
        
        # 尝试模糊匹配缓存中的文件名
        for cache_key in self._style_cache.keys():
            cache_key_lower = cache_key.lower()
            style_name_lower = style_name.lower()
            
            # 完全匹配
            if cache_key_lower == style_name_lower:
                return self._style_cache[cache_key]
            
            # 部分匹配
            # 攻略风格
            if ("攻略" in style_name_lower or "干货" in style_name_lower) and "攻略" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Style文件: '{cache_key}' 匹配 '{style_name}'")
                return self._style_cache[cache_key]
            # 轻奢风格
            if "轻奢" in style_name_lower and "轻奢" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Style文件: '{cache_key}' 匹配 '{style_name}'")
                return self._style_cache[cache_key]
            # 推荐风格
            if ("推荐" in style_name_lower or "种草" in style_name_lower) and "推荐" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Style文件: '{cache_key}' 匹配 '{style_name}'")
                return self._style_cache[cache_key]
            # 美食风格
            if "美食" in style_name_lower and "美食" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Style文件: '{cache_key}' 匹配 '{style_name}'")
                return self._style_cache[cache_key]
        
        # 如果没有在缓存中找到模糊匹配，尝试从prompts_dir加载
        if self.prompts_dir:
            style_path = os.path.join(self.prompts_dir, "Style", style_file)
            if os.path.exists(style_path):
                content = ResourceLoader.load_file_content(style_path)
                if content:
                    # 保存到缓存
                    self._style_cache[style_name] = content
                    self._style_cache[style_file] = content
                    return content
            
            # 如果直接加载失败，尝试列出目录中的所有文件并进行模糊匹配
            style_dir = os.path.join(self.prompts_dir, "Style")
            if os.path.isdir(style_dir):
                try:
                    files = os.listdir(style_dir)
                    style_name_lower = style_name.lower()
                    
                    for file in files:
                        file_lower = file.lower()
                        # 检查关键词匹配
                        matched = False
                        if ("攻略" in style_name_lower or "干货" in style_name_lower) and "攻略" in file_lower:
                            matched = True
                        elif "轻奢" in style_name_lower and "轻奢" in file_lower:
                            matched = True
                        elif ("推荐" in style_name_lower or "种草" in style_name_lower) and "推荐" in file_lower:
                            matched = True
                        elif "美食" in style_name_lower and "美食" in file_lower:
                            matched = True
                        
                        if matched:
                            matched_path = os.path.join(style_dir, file)
                            logging.info(f"模糊匹配 - 在目录中找到部分匹配的Style文件: '{file}' 匹配 '{style_name}'")
                            content = ResourceLoader.load_file_content(matched_path)
                            if content:
                                # 保存到缓存
                                self._style_cache[style_name] = content
                                self._style_cache[file] = content
                                return content
                except Exception as e:
                    logging.warning(f"尝试列出Style目录内容时出错: {e}")
        
        return None
    
    def _get_demand_content(self, demand_name):
        """获取Demand文件内容，优先从缓存获取，如果不存在则尝试从目录加载"""
        # 首先检查缓存
        if demand_name in self._demand_cache:
            return self._demand_cache[demand_name]
        
        # 确保有扩展名
        if not demand_name.lower().endswith('.txt'):
            demand_file = f"{demand_name}.txt"
        else:
            demand_file = demand_name
            demand_name = os.path.splitext(demand_name)[0]  # 移除扩展名
        
        # 尝试模糊匹配缓存中的文件名
        for cache_key in self._demand_cache.keys():
            cache_key_lower = cache_key.lower()
            demand_name_lower = demand_name.lower()
            
            # 完全匹配
            if cache_key_lower == demand_name_lower:
                return self._demand_cache[cache_key]
            
            # 部分匹配：检查需求名称是否是缓存键的一部分，或者缓存键是否是需求名称的一部分
            # 例如"亲子家庭文旅需求"能匹配到"亲子向文旅需求"
            if "亲子" in demand_name_lower and "亲子" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
            if "情侣" in demand_name_lower and "情侣" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
            if "职场" in demand_name_lower and "职场" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
            if "学生" in demand_name_lower and "学生" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
            if "银发" in demand_name_lower and "夕阳红" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
            if "夕阳红" in demand_name_lower and "银发" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
            if "周边" in demand_name_lower and "周边" in cache_key_lower:
                logging.info(f"模糊匹配 - 找到部分匹配的Demand文件: '{cache_key}' 匹配 '{demand_name}'")
                return self._demand_cache[cache_key]
        
        # 如果没有在缓存中找到模糊匹配，尝试从prompts_dir加载（向后兼容）
        if self.prompts_dir:
            demand_path = os.path.join(self.prompts_dir, "Demand", demand_file)
            if os.path.exists(demand_path):
                content = ResourceLoader.load_file_content(demand_path)
                if content:
                    # 保存到缓存
                    self._demand_cache[demand_name] = content
                    self._demand_cache[demand_file] = content
                    return content
            
            # 如果直接加载失败，尝试列出目录中的所有文件并进行模糊匹配
            demand_dir = os.path.join(self.prompts_dir, "Demand")
            if os.path.isdir(demand_dir):
                try:
                    files = os.listdir(demand_dir)
                    demand_name_lower = demand_name.lower()
                    
                    for file in files:
                        file_lower = file.lower()
                        # 检查关键词匹配
                        matched = False
                        if "亲子" in demand_name_lower and "亲子" in file_lower:
                            matched = True
                        elif "情侣" in demand_name_lower and "情侣" in file_lower:
                            matched = True
                        elif "职场" in demand_name_lower and "职场" in file_lower:
                            matched = True
                        elif "学生" in demand_name_lower and "学生" in file_lower:
                            matched = True
                        elif ("银发" in demand_name_lower or "夕阳红" in demand_name_lower) and ("银发" in file_lower or "夕阳红" in file_lower):
                            matched = True
                        elif "周边" in demand_name_lower and "周边" in file_lower:
                            matched = True
                        
                        if matched:
                            matched_path = os.path.join(demand_dir, file)
                            logging.info(f"模糊匹配 - 在目录中找到部分匹配的Demand文件: '{file}' 匹配 '{demand_name}'")
                            content = ResourceLoader.load_file_content(matched_path)
                            if content:
                                # 保存到缓存
                                self._demand_cache[demand_name] = content
                                self._demand_cache[file] = content
                                return content
                except Exception as e:
                    logging.warning(f"尝试列出Demand目录内容时出错: {e}")
        
        # 如果所有尝试都失败
        logging.warning(f"未能找到Demand文件: '{demand_name}'，尝试过以下位置: 缓存, {self.prompts_dir}/Demand/")
        return None
    
    def _get_all_refer_contents(self):
        """获取所有Refer文件内容"""
        # 如果缓存中有内容，先使用缓存
        if self._refer_cache:
            refer_content_all = ""
            for filename, content in self._refer_cache.items():
                refer_content_all += f"--- Refer File: {filename} ---\n{content}\n\n"
            return refer_content_all
        
        # 如果缓存为空，尝试从prompts_dir加载（向后兼容）
        refer_content_all = ""
        if self.prompts_dir:
            refer_dir = os.path.join(self.prompts_dir, "Refer")
            if os.path.isdir(refer_dir):
                refer_files = [f for f in os.listdir(refer_dir) if os.path.isfile(os.path.join(refer_dir, f))]
                for refer_file in refer_files:
                    refer_path = os.path.join(refer_dir, refer_file)
                    content = ResourceLoader.load_file_content(refer_path)
                    if content:
                        refer_content_all += f"--- Refer File: {refer_file} ---\n{content}\n\n"
                        # 保存到缓存
                        self._refer_cache[refer_file] = content
        
        return refer_content_all

    def get_topic_prompts(self):
        """Constructs the system and user prompts for topic generation."""
        logging.info("Constructing prompts for topic generation...")
        try:
            # --- System Prompt --- 
            system_prompt = self._system_prompt_cache.get("topic")
            if not system_prompt:
                if not self.topic_system_prompt_path:
                    logging.error("Topic system prompt path not provided during PromptManager initialization.")
                    return None, None
                system_prompt = ResourceLoader.load_file_content(self.topic_system_prompt_path)
                if system_prompt:
                    self._system_prompt_cache["topic"] = system_prompt
                else:
                    logging.error(f"Failed to load topic system prompt from '{self.topic_system_prompt_path}'.")
                    return None, None

            # --- User Prompt --- 
            base_user_prompt = self._user_prompt_cache.get("topic")
            if not base_user_prompt:
                if not self.topic_user_prompt_path:
                    logging.error("Topic user prompt path not provided during PromptManager initialization.")
                    return None, None
                base_user_prompt = ResourceLoader.load_file_content(self.topic_user_prompt_path)
                if base_user_prompt:
                    self._user_prompt_cache["topic"] = base_user_prompt
                else:
                    logging.error(f"Failed to load base topic user prompt from '{self.topic_user_prompt_path}'.")
                    return None, None
            
            # --- Build the dynamic part of the user prompt ---
            user_prompt_dynamic = "你拥有的创作资料如下：\n"
            
            # 添加prompts_config配置的文件信息
            if self.prompts_config:
                for config_item in self.prompts_config:
                    prompt_type = config_item.get("type", "").lower()
                    file_paths = config_item.get("file_path", [])
                    
                    if file_paths:
                        user_prompt_dynamic += f"{prompt_type.capitalize()}文件列表:\n"
                        for path in file_paths:
                            filename = os.path.basename(path)
                            user_prompt_dynamic += f"- {filename}\n"
                        user_prompt_dynamic += "\n"
            
            # 兼容旧配置：Add genPrompts directory structure
            elif self.prompts_dir and os.path.isdir(self.prompts_dir):
                try:
                    gen_prompts_list = os.listdir(self.prompts_dir)
                    for gen_prompt_folder in gen_prompts_list:
                        folder_path = os.path.join(self.prompts_dir, gen_prompt_folder)
                        if os.path.isdir(folder_path):
                            try:
                                # List files, filter out subdirs if needed
                                gen_prompts_files = [f for f in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, f))]
                                user_prompt_dynamic += f"{gen_prompt_folder}\n{gen_prompts_files}\n"
                            except OSError as e:
                                logging.warning(f"Could not list directory {folder_path}: {e}")
                except OSError as e:
                    logging.warning(f"Could not list base prompts directory {self.prompts_dir}: {e}")
            else:
                 logging.warning(f"Neither prompts_config nor prompts_dir provided or valid.")

            # Add resource directory contents
            for dir_info in self.resource_dir_config:
                source_type = dir_info.get("type", "UnknownType")
                source_file_paths = dir_info.get("file_path", [])
                for file_path in source_file_paths:
                    # Use ResourceLoader's static method
                    file_content = ResourceLoader.load_file_content(file_path)
                    if file_content:
                         user_prompt_dynamic += f"{source_type}信息:\n{os.path.basename(file_path)}\n{file_content}\n\n"
                    else:
                         logging.warning(f"Could not load resource file {file_path}")

            # Add dateline information (optional)
            if self._dateline_cache:
                user_prompt_dynamic += f"\n{self._dateline_cache}"
            else:
                user_prompt_dir = os.path.dirname(self.topic_user_prompt_path)
                dateline_path = os.path.join(user_prompt_dir, "2025各月节日宣传节点时间表.md") # Consider making this configurable
                if os.path.exists(dateline_path):
                    dateline_content = ResourceLoader.load_file_content(dateline_path)
                    if dateline_content:
                        self._dateline_cache = dateline_content
                        user_prompt_dynamic += f"\n{dateline_content}"
            
            # Combine dynamic part, base template, and final parameters
            user_prompt = user_prompt_dynamic + base_user_prompt
            
            user_prompt += f"\n选题数量：{self.topic_gen_num}\n选题日期：{self.topic_gen_date}\n"
            
            logging.info(f"Topic prompts constructed. System: {len(system_prompt)} chars, User: {len(user_prompt)} chars.")
            return system_prompt, user_prompt

        except Exception as e:
            logging.exception("Error constructing topic prompts:")
            return None, None

    def get_content_prompts(self, topic_item):
        """Constructs the system and user prompts for content generation based on a topic item."""
        logging.info(f"Constructing content prompts for topic: {topic_item.get('object', 'N/A')}...")
        try:
            # --- System Prompt --- 
            system_prompt = self._system_prompt_cache.get("content")
            if not system_prompt:
                if not self.content_system_prompt_path:
                    logging.error("Content system prompt path not provided during PromptManager initialization.")
                    return None, None
                system_prompt = ResourceLoader.load_file_content(self.content_system_prompt_path)
                if system_prompt:
                    self._system_prompt_cache["content"] = system_prompt
                else:
                    logging.error(f"Failed to load content system prompt from '{self.content_system_prompt_path}'.")
                    return None, None

            # --- User Prompt ---
            user_prompt = ""

            # 1. 添加Demand部分 (直接使用 topic_item['logic'] 的描述性文本)
            try:
                demand_description = topic_item.get('logic')
                if demand_description:
                    user_prompt += f"Demand Logic:\n{demand_description}\n"
                else:
                    logging.warning("Warning: 'logic' key missing or empty in topic_item for Demand prompt.")
            except Exception as e:
                 logging.exception("Error processing Demand description:")

            # 2. Object Info - 先列出所有可用文件，再注入匹配文件的内容
            try:
                object_name_from_topic = topic_item.get('object') # e.g., "尚书第建筑群"
                object_file_basenames = []
                matched_object_file_path = None
                matched_object_basename = None
                
                # 遍历查找 Object 文件
                for dir_info in self.resource_dir_config:
                    if dir_info.get("type") == "Object":
                        for file_path in dir_info.get("file_path", []):
                            basename = os.path.basename(file_path)
                            object_file_basenames.append(basename)
                            
                            # 尝试匹配当前 topic 的 object (仅当尚未找到匹配时)
                            if object_name_from_topic and not matched_object_file_path:
                                cleaned_resource_name = basename
                                if cleaned_resource_name.startswith("景点信息-"):
                                    cleaned_resource_name = cleaned_resource_name[len("景点信息-"):]
                                if cleaned_resource_name.endswith(".txt"):
                                    cleaned_resource_name = cleaned_resource_name[:-len(".txt")]
                                
                                if cleaned_resource_name and cleaned_resource_name in object_name_from_topic:
                                    matched_object_file_path = file_path
                                    matched_object_basename = basename
                                    # 注意：这里不 break，继续收集所有文件名
                                    
                # 构建提示词 - Part 1: 文件列表
                if object_file_basenames:
                    user_prompt += "Object信息:\n"
                    # user_prompt += f"{object_file_basenames}\n\n" # 直接打印列表可能不够清晰
                    for fname in object_file_basenames:
                        user_prompt += f"- {fname}\n"
                    user_prompt += "\n" # 加一个空行
                    logging.info(f"Listed {len(object_file_basenames)} available object files.")
                else:
                    logging.warning("No resource directory entry found with type 'Object', or it has no file paths.")

                # 构建提示词 - Part 2: 注入匹配文件内容
                if matched_object_file_path:
                    logging.info(f"Attempting to load content for matched object file: {matched_object_basename}")
                    matched_object_content = ResourceLoader.load_file_content(matched_object_file_path)
                    if matched_object_content:
                        user_prompt += f"{matched_object_basename}：\n{matched_object_content}\n\n"
                        logging.info(f"Successfully loaded and injected content for: {matched_object_basename}")
                    else:
                        logging.warning(f"Object file matched ({matched_object_basename}) but could not be loaded or is empty.")
                elif object_name_from_topic: # 只有当 topic 中指定了 object 但没找到匹配文件时才警告
                     logging.warning(f"Could not find a matching Object resource file to inject content for '{object_name_from_topic}'. Only the list of files was provided.")
                     
            except KeyError: 
                 logging.warning("Warning: 'object' key potentially missing in topic_item.")
            except Exception as e:
                 logging.exception("Error processing Object prompt section:")

            # 3. 添加Product信息 (if applicable)
            try:
                product_name = topic_item.get('product')
                product_logic_description = topic_item.get('product_logic') # Directly use this description
                if product_name:
                    # Add Product Logic description first (if available)
                    if product_logic_description:
                        user_prompt += f"Product Logic:\n{product_logic_description}\n"
                    else:
                        logging.warning(f"Warning: 'product_logic' key missing or empty for product '{product_name}'.")

                    # Then, load Product Info file
                    product_file_path = None
                    for dir_info in self.resource_dir_config:
                        if dir_info.get("type") == "Product":
                            for file_path in dir_info.get("file_path", []):
                                if product_name in os.path.basename(file_path):
                                    product_file_path = file_path
                                    break
                        if product_file_path: break
                    
                    if product_file_path:
                         product_content = ResourceLoader.load_file_content(product_file_path)
                         if product_content:
                             user_prompt += f"Product Info:\n{product_content}\n"
                         else:
                             logging.warning(f"Product file could not be loaded: {product_file_path}")
                    else:
                         logging.warning(f"Product file path not found in config for: {product_name}")
            except KeyError:
                 logging.warning("Warning: Missing 'product' key in topic_item for Product prompt.")
            except Exception as e:
                 logging.exception("Error processing Product prompt:")

            # 4. 添加Style信息 (加载文件 based on topic_item['style'])
            try:
                style_name = topic_item.get('style')
                if style_name:
                    style_content = self._get_style_content(style_name)
                    if style_content:
                        user_prompt += f"Style Info:\n{style_content}\n"
                    else:
                        logging.warning(f"Style file not found or empty for: {style_name}")
                else:
                     logging.warning("Warning: 'style' key missing or empty in topic_item.")
            except Exception as e:
                 logging.exception("Error processing Style prompt:")

            # 5. 添加Target Audience信息 (加载文件 based on topic_item['target_audience'])
            try:
                target_audience_name = topic_item.get('target_audience')
                if target_audience_name:
                    target_audience_content = self._get_demand_content(target_audience_name)
                    if target_audience_content:
                        user_prompt += f"Target Audience Info:\n{target_audience_content}\n"
                    else:
                        logging.warning(f"Target Audience file not found or empty for: {target_audience_name}")
                else:
                     logging.warning("Warning: 'target_audience' key missing or empty in topic_item.")
            except Exception as e:
                 logging.exception("Error processing Target Audience prompt:")

            # 6. 添加Refer信息 (加载所有Refer文件的内容)
            try:
                refer_content_all = self._get_all_refer_contents()
                if refer_content_all:
                     user_prompt += f"Refer Info:\n{refer_content_all}"
                else:
                     logging.warning("No content loaded from Refer files.")
            except Exception as e:
                 logging.exception("Error processing Refer files:")

            # --- End of prompt construction logic ---
            
            logging.info(f"Content prompts constructed. System: {len(system_prompt)} chars, User: {len(user_prompt)} chars.")
            return system_prompt, user_prompt

        except KeyError as e:
             # Catch potential KeyErrors from accessing topic_item if a required key is missing early on
             logging.error(f"Error constructing content prompts: Missing essential key '{e}' in topic_item: {topic_item}")
             return None, None
        except Exception as e:
            logging.exception("Error constructing content prompts:")
            return None, None