import os
import simplejson as json
import logging
from abc import ABC, abstractmethod
import traceback
import base64

# 自定义JSON编码器，强制处理所有可能的JSON序列化问题
class SafeJSONEncoder(json.JSONEncoder):
    """安全的JSON编码器，可以处理所有类型的字符串"""
    
    def encode(self, obj):
        """重写encode方法，确保任何字符串都能被安全编码"""
        if isinstance(obj, dict):
            # 处理字典：递归处理每个值
            return '{' + ','.join(f'"{key}":{self.encode(value)}' 
                for key, value in obj.items() 
                if key not in ["error", "raw_result"]) + '}'
        elif isinstance(obj, list):
            # 处理列表：递归处理每个项
            return '[' + ','.join(self.encode(item) for item in obj) + ']'
        elif isinstance(obj, str):
            # 安全处理字符串：移除可能导致问题的字符
            safe_str = ''
            for char in obj:
                if char in '\n\r\t' or (32 <= ord(char) <= 126):
                    safe_str += char
                # 跳过所有其他字符
            return json.JSONEncoder.encode(self, safe_str)
        else:
            # 其他类型：使用默认处理
            return json.JSONEncoder.encode(self, obj)
            
    def iterencode(self, obj, _one_shot=False):
        """重写iterencode方法，确保能处理迭代编码"""
        return self.encode(obj)

class OutputHandler(ABC):
    """Abstract base class for handling the output of the generation pipeline."""

    @abstractmethod
    def handle_topic_results(self, run_id: str, topics_list: list, system_prompt: str, user_prompt: str):
        """Handles the results from the topic generation step."""
        pass

    @abstractmethod
    def handle_content_variant(self, run_id: str, topic_index: int, variant_index: int, content_data: dict, prompt_data: str):
        """Handles the results for a single content variant."""
        pass
        
    @abstractmethod
    def handle_poster_configs(self, run_id: str, topic_index: int, config_data: list | dict):
        """Handles the poster configuration generated for a topic."""
        pass

    @abstractmethod
    def handle_generated_image(self, run_id: str, topic_index: int, variant_index: int, image_type: str, image_data, output_filename: str, metadata: dict = None):
        """Handles a generated image (collage or final poster).
        
        Args:
            image_type: Either 'collage' or 'poster'.
            image_data: The image data (e.g., PIL Image object or bytes).
            output_filename: The desired filename for the output (e.g., 'poster.jpg').
            metadata: Optional dictionary with additional metadata about the image (e.g., used image files).
        """
        pass
        
    @abstractmethod
    def finalize(self, run_id: str):
        """Perform any final actions for the run (e.g., close files, upload manifests)."""
        pass


class FileSystemOutputHandler(OutputHandler):
    """Handles output by saving results to the local file system."""

    def __init__(self, base_output_dir: str = "result"):
        self.base_output_dir = base_output_dir
        logging.info(f"FileSystemOutputHandler initialized. Base output directory: {self.base_output_dir}")

    def _get_run_dir(self, run_id: str) -> str:
        """Gets the specific directory for a run, creating it if necessary."""
        run_dir = os.path.join(self.base_output_dir, run_id)
        os.makedirs(run_dir, exist_ok=True)
        return run_dir
        
    def _get_variant_dir(self, run_id: str, topic_index: int, variant_index: int, subdir: str | None = None) -> str:
        """Gets the specific directory for a variant, optionally within a subdirectory (e.g., 'poster'), creating it if necessary."""
        run_dir = self._get_run_dir(run_id)
        variant_base_dir = os.path.join(run_dir, f"{topic_index}_{variant_index}")
        target_dir = variant_base_dir
        if subdir:
            target_dir = os.path.join(variant_base_dir, subdir)
        os.makedirs(target_dir, exist_ok=True)
        return target_dir

    def handle_topic_results(self, run_id: str, topics_list: list, system_prompt: str, user_prompt: str):
        run_dir = self._get_run_dir(run_id)
        
        # Save topics list
        topics_path = os.path.join(run_dir, f"tweet_topic_{run_id}.json")
        try:
            with open(topics_path, "w", encoding="utf-8") as f:
                # 不使用自定义编码器，直接使用标准json
                json.dump(topics_list, f, ensure_ascii=False, indent=4, ignore_nan=True)
            logging.info(f"Topics list saved successfully to: {topics_path}")
            
            # 额外创建txt格式输出
            txt_path = os.path.join(run_dir, f"tweet_topic_{run_id}.txt")
            with open(txt_path, "w", encoding="utf-8") as f:
                f.write(f"# 选题列表 (run_id: {run_id})\n\n")
                for topic in topics_list:
                    f.write(f"## 选题 {topic.get('index', 'N/A')}\n")
                    f.write(f"- 日期: {topic.get('date', 'N/A')}\n")
                    f.write(f"- 对象: {topic.get('object', 'N/A')}\n")
                    f.write(f"- 产品: {topic.get('product', 'N/A')}\n")
                    f.write(f"- 产品策略: {topic.get('product_logic', 'N/A')}\n")
                    f.write(f"- 风格: {topic.get('style', 'N/A')}\n")
                    f.write(f"- 风格策略: {topic.get('style_logic', 'N/A')}\n")
                    f.write(f"- 目标受众: {topic.get('target_audience', 'N/A')}\n")
                    f.write(f"- 受众策略: {topic.get('target_audience_logic', 'N/A')}\n")
                    f.write(f"- 逻辑: {topic.get('logic', 'N/A')}\n\n")
            logging.info(f"选题文本版本已保存到: {txt_path}")
            
        except Exception as e:
            logging.exception(f"Error saving topic JSON file to {topics_path}:")
            
        # Save prompts
        prompt_path = os.path.join(run_dir, f"topic_prompt_{run_id}.txt")
        try:
            with open(prompt_path, "w", encoding="utf-8") as f:
                f.write("--- SYSTEM PROMPT ---\n")
                f.write(system_prompt + "\n\n")
                f.write("--- USER PROMPT ---\n")
                f.write(user_prompt + "\n")
            logging.info(f"Topic prompts saved successfully to: {prompt_path}")
        except Exception as e:
            logging.exception(f"Error saving topic prompts file to {prompt_path}:")

    def handle_content_variant(self, run_id: str, topic_index: int, variant_index: int, content_data: dict, prompt_data: str):
        """Saves content JSON and prompt for a specific variant."""
        variant_dir = self._get_variant_dir(run_id, topic_index, variant_index)
        
        # 创建输出数据的副本，避免修改原始数据
        import copy
        input_data = copy.deepcopy(content_data)
        
        # 统一使用tags字段，避免tag和tags重复
        if "tag" in input_data and "tags" not in input_data:
            # 只有tag字段存在，复制到tags
            input_data["tags"] = input_data["tag"]
        elif "tag" in input_data and "tags" in input_data:
            # 两个字段都存在，保留tags
            pass
        
        # 确保即使在未启用审核的情况下，字段也保持一致
        if not input_data.get("judged", False):
            input_data["judged"] = False
            # 添加original字段（临时），值为当前值
            if "title" in input_data and "original_title" not in input_data:
                input_data["original_title"] = input_data["title"]
            if "content" in input_data and "original_content" not in input_data:
                input_data["original_content"] = input_data["content"]
            if "tags" in input_data and "original_tags" not in input_data:
                input_data["original_tags"] = input_data["tags"]
        
        # 保存原始值用于txt文件生成和调试
        original_title = input_data.get("title", "")
        original_content = input_data.get("content", "")
        original_tags = input_data.get("tags", "")
        original_judge_analysis = input_data.get("judge_analysis", "")
        
        # 创建一个只包含元数据和base64编码的输出数据对象
        output_data = {
            # 保留元数据字段
            "judged": input_data.get("judged", False),
            "judge_success": input_data.get("judge_success", False)
        }
        
        # 为所有内容字段创建base64编码版本
        try:
            # 1. 标题和内容
            if "title" in input_data and input_data["title"]:
                output_data["title_base64"] = base64.b64encode(input_data["title"].encode('utf-8')).decode('ascii')
            
            if "content" in input_data and input_data["content"]:
                output_data["content_base64"] = base64.b64encode(input_data["content"].encode('utf-8')).decode('ascii')
            
            # 2. 标签
            if "tags" in input_data and input_data["tags"]:
                output_data["tags_base64"] = base64.b64encode(input_data["tags"].encode('utf-8')).decode('ascii')
            
            # 3. 原始内容
            if "original_title" in input_data and input_data["original_title"]:
                output_data["original_title_base64"] = base64.b64encode(input_data["original_title"].encode('utf-8')).decode('ascii')
            
            if "original_content" in input_data and input_data["original_content"]:
                output_data["original_content_base64"] = base64.b64encode(input_data["original_content"].encode('utf-8')).decode('ascii')
            
            # 4. 原始标签
            if "original_tags" in input_data and input_data["original_tags"]:
                output_data["original_tags_base64"] = base64.b64encode(input_data["original_tags"].encode('utf-8')).decode('ascii')
            
            # 5. 审核分析
            if "judge_analysis" in input_data and input_data["judge_analysis"]:
                output_data["judge_analysis_base64"] = base64.b64encode(input_data["judge_analysis"].encode('utf-8')).decode('ascii')
                
            logging.info("成功添加Base64编码内容")
        except Exception as e:
            logging.error(f"Base64编码内容时出错: {e}")
        
        # 保存可能有用的额外字段
        if "error" in input_data:
            output_data["error"] = input_data["error"]
            
        # 保存统一格式的article.json (只包含base64编码和元数据)
        content_path = os.path.join(variant_dir, "article.json")
        try:
            with open(content_path, "w", encoding="utf-8") as f:
                # 使用标准json
                json.dump(output_data, f, ensure_ascii=False, indent=4, ignore_nan=True)
            logging.info(f"Content JSON saved to: {content_path}")
        except Exception as e:
            logging.exception(f"Failed to save content JSON to {content_path}: {e}")
            
        # 创建一份article.txt文件以便直接查看
        txt_path = os.path.join(variant_dir, "article.txt")
        try:
            # 使用原始内容，保留所有换行符
            with open(txt_path, "w", encoding="utf-8") as f:
                if original_title:
                    f.write(f"{original_title}\n\n")
                
                # 保持原始内容的所有换行符
                if original_content:
                    f.write(original_content)
                
                if original_tags:
                    f.write(f"\n\n{original_tags}")
                
                if original_judge_analysis:
                    f.write(f"\n\n审核分析：\n{original_judge_analysis}")
            
            logging.info(f"Article text saved to: {txt_path}")
        except Exception as e:
            logging.error(f"Failed to save article.txt: {e}")
            
        # 记录调试信息，无论是否成功 (包含原始数据的完整副本以便调试)
        debug_path = os.path.join(variant_dir, "debug_content.txt")
        try:
            with open(debug_path, "w", encoding="utf-8") as f:
                f.write(f"原始标题: {original_title}\n\n")
                f.write(f"原始内容: {original_content}\n\n")
                if original_tags:
                    f.write(f"原始标签: {original_tags}\n\n")
                if original_judge_analysis:
                    f.write(f"审核分析: {original_judge_analysis}\n\n")
                f.write("---处理后---\n\n")
                for key, value in output_data.items():
                    if isinstance(value, str):
                        f.write(f"{key}: (length: {len(value)})\n")
                        f.write(f"{repr(value[:200])}...\n\n")
                    else:
                        f.write(f"{key}: {type(value)}\n")
            logging.info(f"调试内容已保存到: {debug_path}")
        except Exception as debug_err:
            logging.error(f"保存调试内容失败: {debug_err}")
            
        # Save content prompt
        prompt_path = os.path.join(variant_dir, "tweet_prompt.txt")
        try:
            with open(prompt_path, "w", encoding="utf-8") as f:
                f.write(prompt_data)
            logging.info(f"Content prompt saved to: {prompt_path}")
        except Exception as e:
            logging.error(f"Failed to save content prompt to {prompt_path}: {e}")
             
    def _ultra_safe_clean(self, text):
        """执行最严格的字符清理，确保100%可序列化"""
        if not isinstance(text, str):
            return ""
        return ''.join(c for c in text if 32 <= ord(c) <= 126)

    def _preprocess_for_json(self, text):
        """预处理文本，将换行符转换为\\n形式，保证JSON安全"""
        if not isinstance(text, str):
            return text
        # 将所有实际换行符替换为\\n字符串
        return text.replace('\n', '\\n').replace('\r', '\\r')

    def handle_poster_configs(self, run_id: str, topic_index: int, config_data: list | dict):
        """处理海报配置数据"""
        # 处理海报配置数据
        try:
            # 创建目标目录
            variant_dir = os.path.join(self._get_run_dir(run_id), f"{topic_index}_1")
            os.makedirs(variant_dir, exist_ok=True)
            
            # 确保配置数据是可序列化的
            processed_configs = []
            if isinstance(config_data, list):
                for config in config_data:
                    processed_config = {}
                    # 处理索引字段
                    processed_config["index"] = config.get("index", 0)
                    
                    # 处理标题字段，应用JSON预处理
                    main_title = config.get("main_title", "")
                    processed_config["main_title"] = self._preprocess_for_json(main_title)
                    
                    # 处理文本字段列表，对每个文本应用JSON预处理
                    texts = config.get("texts", [])
                    processed_texts = []
                    for text in texts:
                        processed_texts.append(self._preprocess_for_json(text))
                    processed_config["texts"] = processed_texts
                    
                    processed_configs.append(processed_config)
            else:
                # 如果不是列表，可能是字典或其他格式，尝试转换
                if isinstance(config_data, dict):
                    # 处理单个配置字典
                    processed_config = {}
                    processed_config["index"] = config_data.get("index", 0)
                    processed_config["main_title"] = self._preprocess_for_json(config_data.get("main_title", ""))
                    
                    texts = config_data.get("texts", [])
                    processed_texts = []
                    for text in texts:
                        processed_texts.append(self._preprocess_for_json(text))
                    processed_config["texts"] = processed_texts
                    
                    processed_configs.append(processed_config)
                    
            # 保存配置到JSON文件
            config_file_path = os.path.join(variant_dir, f"topic_{topic_index}_poster_configs.json")
            with open(config_file_path, 'w', encoding='utf-8') as f:
                json.dump(processed_configs, f, ensure_ascii=False, indent=4, cls=self.SafeJSONEncoder)
            logging.info(f"Successfully saved poster configs to {config_file_path}")
        except Exception as e:
            logging.error(f"Error saving poster configs: {e}")
            traceback.print_exc()
            
    def handle_generated_image(self, run_id: str, topic_index: int, variant_index: int, image_type: str, image_data, output_filename: str, metadata: dict = None):
        """处理生成的图像，对于笔记图像和额外配图保存到image目录，其他类型保持原有路径结构"""
        if not image_data:
            logging.warning(f"传入的{image_type}图像数据为空 (Topic {topic_index}, Variant {variant_index})。跳过保存。")
            return
            
        # 根据图像类型确定保存路径
        if image_type == 'note' or image_type == 'additional':  # 笔记图像和额外配图保存到image目录
            # 创建run_id/i_j/image目录
            run_dir = self._get_run_dir(run_id)
            variant_dir = os.path.join(run_dir, f"{topic_index}_{variant_index}")
            image_dir = os.path.join(variant_dir, "image")
            os.makedirs(image_dir, exist_ok=True)
            
            # 在输出文件名前加上图像类型前缀
            prefixed_filename = f"{image_type}_{output_filename}" if not output_filename.startswith(image_type) else output_filename
            save_path = os.path.join(image_dir, prefixed_filename)
        else:
            # 其他类型图像使用原有的保存路径逻辑
            subdir = None
            if image_type == 'collage':
                subdir = 'collage_img'  # 可配置的子目录名称
            elif image_type == 'poster':
                subdir = 'poster'
            else:
                logging.warning(f"未知图像类型 '{image_type}'，保存到变体根目录。")
                subdir = None  # 如果类型未知，直接保存到变体目录
                
            # 确保目标目录存在
            variant_dir = os.path.join(self._get_run_dir(run_id), f"{topic_index}_{variant_index}")
            if subdir:
                target_dir = os.path.join(variant_dir, subdir)
                os.makedirs(target_dir, exist_ok=True)
            else:
                target_dir = variant_dir
                os.makedirs(target_dir, exist_ok=True)
                
            save_path = os.path.join(target_dir, output_filename)
        
        try:
            # 保存图片
            image_data.save(save_path)
            logging.info(f"保存{image_type}图像到: {save_path}")
            
            # 保存元数据（如果有）
            if metadata:
                # 确保元数据文件与图像在同一目录
                metadata_filename = os.path.splitext(os.path.basename(save_path))[0] + "_metadata.json"
                metadata_path = os.path.join(os.path.dirname(save_path), metadata_filename)
                try:
                    with open(metadata_path, 'w', encoding='utf-8') as f:
                        # 不使用自定义编码器，使用标准json
                        json.dump(metadata, f, ensure_ascii=False, indent=4, ignore_nan=True)
                    logging.info(f"保存{image_type}元数据到: {metadata_path}")
                except Exception as me:
                    logging.error(f"无法保存{image_type}元数据到{metadata_path}: {me}")
                    traceback.print_exc()
                    
        except Exception as e:
            logging.exception(f"无法保存{image_type}图像到{save_path}: {e}")
            traceback.print_exc()
        
        return save_path

    def finalize(self, run_id: str):
        logging.info(f"FileSystemOutputHandler finalizing run: {run_id}. No specific actions needed.")
        pass # Nothing specific to do for file system finalize 

    def _sanitize_content_for_json(self, data):
        """对内容进行深度清理，确保可以安全序列化为JSON
        
        Args:
            data: 要处理的数据（字典、列表或基本类型）
            
        Returns:
            经过处理的数据，确保可以安全序列化
        """
        if isinstance(data, dict):
            # 处理字典类型
            sanitized_dict = {}
            for key, value in data.items():
                # 移除error标志，我们会在最终验证后重新设置它
                if key == "error":
                    continue
                if key == "raw_result":
                    continue
                sanitized_dict[key] = self._sanitize_content_for_json(value)
            return sanitized_dict
        elif isinstance(data, list):
            # 处理列表类型
            return [self._sanitize_content_for_json(item) for item in data]
        elif isinstance(data, str):
            # 处理字符串类型（重点关注）
            
            # 1. 首先，替换所有字面的"\n"为真正的换行符
            if r'\n' in data:
                data = data.replace(r'\n', '\n')
            
            # 2. 使用更强的处理方式 - 只保留绝对安全的字符
            # - ASCII 32-126 (标准可打印ASCII字符)
            # - 换行、回车、制表符
            # - 去除所有其他控制字符和潜在问题字符
            safe_chars = []
            for char in data:
                if char in '\n\r\t' or (32 <= ord(char) <= 126):
                    safe_chars.append(char)
                elif ord(char) > 127:  # 非ASCII字符 (包括emoji)
                    # 转换为Unicode转义序列
                    safe_chars.append(f"\\u{ord(char):04x}".encode().decode('unicode-escape'))
            
            cleaned = ''.join(safe_chars)
                    
            # 3. 验证字符串可以被安全序列化
            try:
                json.dumps(cleaned, ensure_ascii=False)
                return cleaned
            except Exception as e:
                logging.warning(f"字符串清理后仍无法序列化，使用保守处理: {e}")
                # 最保守的处理 - 只保留ASCII字符
                return ''.join(c for c in cleaned if ord(c) < 128)
        else:
            # 其他类型（数字、布尔值等）原样返回
            return data