466 lines
22 KiB
Python
466 lines
22 KiB
Python
import os
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import simplejson as json
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import logging
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from abc import ABC, abstractmethod
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import traceback
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import base64
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# 自定义JSON编码器，强制处理所有可能的JSON序列化问题
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class SafeJSONEncoder(json.JSONEncoder):
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"""安全的JSON编码器，可以处理所有类型的字符串"""
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def encode(self, obj):
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"""重写encode方法，确保任何字符串都能被安全编码"""
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if isinstance(obj, dict):
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# 处理字典：递归处理每个值
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return '{' + ','.join(f'"{key}":{self.encode(value)}'
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for key, value in obj.items()
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if key not in ["error", "raw_result"]) + '}'
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elif isinstance(obj, list):
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# 处理列表：递归处理每个项
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return '[' + ','.join(self.encode(item) for item in obj) + ']'
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elif isinstance(obj, str):
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# 安全处理字符串：移除可能导致问题的字符
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safe_str = ''
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for char in obj:
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if char in '\n\r\t' or (32 <= ord(char) <= 126):
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safe_str += char
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# 跳过所有其他字符
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return json.JSONEncoder.encode(self, safe_str)
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else:
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# 其他类型：使用默认处理
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return json.JSONEncoder.encode(self, obj)
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def iterencode(self, obj, _one_shot=False):
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"""重写iterencode方法，确保能处理迭代编码"""
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return self.encode(obj)
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class OutputHandler(ABC):
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"""Abstract base class for handling the output of the generation pipeline."""
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@abstractmethod
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def handle_topic_results(self, run_id: str, topics_list: list, system_prompt: str, user_prompt: str):
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"""Handles the results from the topic generation step."""
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pass
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@abstractmethod
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def handle_content_variant(self, run_id: str, topic_index: int, variant_index: int, content_data: dict, prompt_data: str):
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"""Handles the results for a single content variant."""
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pass
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@abstractmethod
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def handle_poster_configs(self, run_id: str, topic_index: int, config_data: list | dict):
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"""Handles the poster configuration generated for a topic."""
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pass
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@abstractmethod
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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):
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"""Handles a generated image (collage or final poster).
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Args:
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image_type: Either 'collage' or 'poster'.
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image_data: The image data (e.g., PIL Image object or bytes).
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output_filename: The desired filename for the output (e.g., 'poster.jpg').
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metadata: Optional dictionary with additional metadata about the image (e.g., used image files).
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"""
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pass
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@abstractmethod
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def finalize(self, run_id: str):
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"""Perform any final actions for the run (e.g., close files, upload manifests)."""
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pass
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class FileSystemOutputHandler(OutputHandler):
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"""Handles output by saving results to the local file system."""
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def __init__(self, base_output_dir: str = "result"):
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self.base_output_dir = base_output_dir
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logging.info(f"FileSystemOutputHandler initialized. Base output directory: {self.base_output_dir}")
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def _get_run_dir(self, run_id: str) -> str:
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"""Gets the specific directory for a run, creating it if necessary."""
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run_dir = os.path.join(self.base_output_dir, run_id)
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os.makedirs(run_dir, exist_ok=True)
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return run_dir
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def _get_variant_dir(self, run_id: str, topic_index: int, variant_index: int, subdir: str | None = None) -> str:
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"""Gets the specific directory for a variant, optionally within a subdirectory (e.g., 'poster'), creating it if necessary."""
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run_dir = self._get_run_dir(run_id)
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variant_base_dir = os.path.join(run_dir, f"{topic_index}_{variant_index}")
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target_dir = variant_base_dir
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if subdir:
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target_dir = os.path.join(variant_base_dir, subdir)
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os.makedirs(target_dir, exist_ok=True)
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return target_dir
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def handle_topic_results(self, run_id: str, topics_list: list, system_prompt: str, user_prompt: str):
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run_dir = self._get_run_dir(run_id)
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# Save topics list
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topics_path = os.path.join(run_dir, f"tweet_topic_{run_id}.json")
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try:
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with open(topics_path, "w", encoding="utf-8") as f:
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# 不使用自定义编码器，直接使用标准json
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json.dump(topics_list, f, ensure_ascii=False, indent=4, ignore_nan=True)
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logging.info(f"Topics list saved successfully to: {topics_path}")
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# 额外创建txt格式输出
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txt_path = os.path.join(run_dir, f"tweet_topic_{run_id}.txt")
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with open(txt_path, "w", encoding="utf-8") as f:
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f.write(f"# 选题列表 (run_id: {run_id})\n\n")
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for topic in topics_list:
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f.write(f"## 选题 {topic.get('index', 'N/A')}\n")
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f.write(f"- 日期: {topic.get('date', 'N/A')}\n")
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f.write(f"- 对象: {topic.get('object', 'N/A')}\n")
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f.write(f"- 产品: {topic.get('product', 'N/A')}\n")
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f.write(f"- 产品策略: {topic.get('product_logic', 'N/A')}\n")
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f.write(f"- 风格: {topic.get('style', 'N/A')}\n")
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f.write(f"- 风格策略: {topic.get('style_logic', 'N/A')}\n")
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f.write(f"- 目标受众: {topic.get('target_audience', 'N/A')}\n")
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f.write(f"- 受众策略: {topic.get('target_audience_logic', 'N/A')}\n")
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f.write(f"- 逻辑: {topic.get('logic', 'N/A')}\n\n")
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logging.info(f"选题文本版本已保存到: {txt_path}")
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except Exception as e:
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logging.exception(f"Error saving topic JSON file to {topics_path}:")
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# Save prompts
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prompt_path = os.path.join(run_dir, f"topic_prompt_{run_id}.txt")
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try:
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with open(prompt_path, "w", encoding="utf-8") as f:
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f.write("--- SYSTEM PROMPT ---\n")
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f.write(system_prompt + "\n\n")
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f.write("--- USER PROMPT ---\n")
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f.write(user_prompt + "\n")
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logging.info(f"Topic prompts saved successfully to: {prompt_path}")
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except Exception as e:
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logging.exception(f"Error saving topic prompts file to {prompt_path}:")
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def handle_content_variant(self, run_id: str, topic_index: int, variant_index: int, content_data: dict, prompt_data: str):
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"""Saves content JSON and prompt for a specific variant."""
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variant_dir = self._get_variant_dir(run_id, topic_index, variant_index)
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# 创建输出数据的副本，避免修改原始数据
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import copy
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input_data = copy.deepcopy(content_data)
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# 统一使用tags字段，避免tag和tags重复
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if "tag" in input_data and "tags" not in input_data:
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# 只有tag字段存在，复制到tags
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input_data["tags"] = input_data["tag"]
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elif "tag" in input_data and "tags" in input_data:
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# 两个字段都存在，保留tags
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pass
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# 确保即使在未启用审核的情况下，字段也保持一致
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if not input_data.get("judged", False):
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input_data["judged"] = False
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# 添加original字段（临时），值为当前值
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if "title" in input_data and "original_title" not in input_data:
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input_data["original_title"] = input_data["title"]
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if "content" in input_data and "original_content" not in input_data:
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input_data["original_content"] = input_data["content"]
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if "tags" in input_data and "original_tags" not in input_data:
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input_data["original_tags"] = input_data["tags"]
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# 保存原始值用于txt文件生成和调试
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original_title = input_data.get("title", "")
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original_content = input_data.get("content", "")
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original_tags = input_data.get("tags", "")
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original_judge_analysis = input_data.get("judge_analysis", "")
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# 创建一个只包含元数据和base64编码的输出数据对象
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output_data = {
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# 保留元数据字段
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"judged": input_data.get("judged", False),
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"judge_success": input_data.get("judge_success", False)
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}
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# 为所有内容字段创建base64编码版本
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try:
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# 1. 标题和内容
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if "title" in input_data and input_data["title"]:
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output_data["title_base64"] = base64.b64encode(input_data["title"].encode('utf-8')).decode('ascii')
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if "content" in input_data and input_data["content"]:
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output_data["content_base64"] = base64.b64encode(input_data["content"].encode('utf-8')).decode('ascii')
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# 2. 标签
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if "tags" in input_data and input_data["tags"]:
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output_data["tags_base64"] = base64.b64encode(input_data["tags"].encode('utf-8')).decode('ascii')
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# 3. 原始内容
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if "original_title" in input_data and input_data["original_title"]:
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output_data["original_title_base64"] = base64.b64encode(input_data["original_title"].encode('utf-8')).decode('ascii')
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if "original_content" in input_data and input_data["original_content"]:
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output_data["original_content_base64"] = base64.b64encode(input_data["original_content"].encode('utf-8')).decode('ascii')
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# 4. 原始标签
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if "original_tags" in input_data and input_data["original_tags"]:
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output_data["original_tags_base64"] = base64.b64encode(input_data["original_tags"].encode('utf-8')).decode('ascii')
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# 5. 审核分析
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if "judge_analysis" in input_data and input_data["judge_analysis"]:
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output_data["judge_analysis_base64"] = base64.b64encode(input_data["judge_analysis"].encode('utf-8')).decode('ascii')
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logging.info("成功添加Base64编码内容")
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except Exception as e:
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logging.error(f"Base64编码内容时出错: {e}")
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# 保存可能有用的额外字段
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if "error" in input_data:
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output_data["error"] = input_data["error"]
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# 保存统一格式的article.json (只包含base64编码和元数据)
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content_path = os.path.join(variant_dir, "article.json")
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try:
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with open(content_path, "w", encoding="utf-8") as f:
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# 使用标准json
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json.dump(output_data, f, ensure_ascii=False, indent=4, ignore_nan=True)
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logging.info(f"Content JSON saved to: {content_path}")
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except Exception as e:
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logging.exception(f"Failed to save content JSON to {content_path}: {e}")
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# 创建一份article.txt文件以便直接查看
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txt_path = os.path.join(variant_dir, "article.txt")
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try:
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# 使用原始内容，保留所有换行符
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with open(txt_path, "w", encoding="utf-8") as f:
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if original_title:
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f.write(f"{original_title}\n\n")
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# 保持原始内容的所有换行符
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if original_content:
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f.write(original_content)
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if original_tags:
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f.write(f"\n\n{original_tags}")
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if original_judge_analysis:
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f.write(f"\n\n审核分析：\n{original_judge_analysis}")
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logging.info(f"Article text saved to: {txt_path}")
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except Exception as e:
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logging.error(f"Failed to save article.txt: {e}")
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# 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)
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debug_path = os.path.join(variant_dir, "debug_content.txt")
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try:
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with open(debug_path, "w", encoding="utf-8") as f:
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f.write(f"原始标题: {original_title}\n\n")
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f.write(f"原始内容: {original_content}\n\n")
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if original_tags:
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f.write(f"原始标签: {original_tags}\n\n")
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if original_judge_analysis:
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f.write(f"审核分析: {original_judge_analysis}\n\n")
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f.write("---处理后---\n\n")
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for key, value in output_data.items():
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if isinstance(value, str):
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f.write(f"{key}: (length: {len(value)})\n")
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f.write(f"{repr(value[:200])}...\n\n")
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else:
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f.write(f"{key}: {type(value)}\n")
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logging.info(f"调试内容已保存到: {debug_path}")
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except Exception as debug_err:
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logging.error(f"保存调试内容失败: {debug_err}")
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# Save content prompt
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prompt_path = os.path.join(variant_dir, "tweet_prompt.txt")
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try:
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with open(prompt_path, "w", encoding="utf-8") as f:
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f.write(prompt_data)
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logging.info(f"Content prompt saved to: {prompt_path}")
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except Exception as e:
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logging.error(f"Failed to save content prompt to {prompt_path}: {e}")
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def _ultra_safe_clean(self, text):
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"""执行最严格的字符清理，确保100%可序列化"""
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if not isinstance(text, str):
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return ""
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return ''.join(c for c in text if 32 <= ord(c) <= 126)
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def _preprocess_for_json(self, text):
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"""预处理文本，将换行符转换为\\n形式，保证JSON安全"""
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if not isinstance(text, str):
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return text
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# 将所有实际换行符替换为\\n字符串
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return text.replace('\n', '\\n').replace('\r', '\\r')
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def handle_poster_configs(self, run_id: str, topic_index: int, config_data: list | dict):
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"""处理海报配置数据"""
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# 处理海报配置数据
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try:
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# 创建目标目录
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variant_dir = os.path.join(self._get_run_dir(run_id), f"{topic_index}_1")
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os.makedirs(variant_dir, exist_ok=True)
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# 确保配置数据是可序列化的
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processed_configs = []
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if isinstance(config_data, list):
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for config in config_data:
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processed_config = {}
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# 处理索引字段
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processed_config["index"] = config.get("index", 0)
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# 处理标题字段，应用JSON预处理
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main_title = config.get("main_title", "")
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processed_config["main_title"] = self._preprocess_for_json(main_title)
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# 处理文本字段列表，对每个文本应用JSON预处理
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texts = config.get("texts", [])
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processed_texts = []
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for text in texts:
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processed_texts.append(self._preprocess_for_json(text))
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processed_config["texts"] = processed_texts
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processed_configs.append(processed_config)
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else:
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# 如果不是列表，可能是字典或其他格式，尝试转换
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if isinstance(config_data, dict):
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# 处理单个配置字典
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processed_config = {}
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processed_config["index"] = config_data.get("index", 0)
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processed_config["main_title"] = self._preprocess_for_json(config_data.get("main_title", ""))
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texts = config_data.get("texts", [])
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processed_texts = []
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for text in texts:
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processed_texts.append(self._preprocess_for_json(text))
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processed_config["texts"] = processed_texts
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processed_configs.append(processed_config)
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# 保存配置到JSON文件
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config_file_path = os.path.join(variant_dir, f"topic_{topic_index}_poster_configs.json")
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with open(config_file_path, 'w', encoding='utf-8') as f:
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json.dump(processed_configs, f, ensure_ascii=False, indent=4, cls=self.SafeJSONEncoder)
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logging.info(f"Successfully saved poster configs to {config_file_path}")
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except Exception as e:
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logging.error(f"Error saving poster configs: {e}")
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traceback.print_exc()
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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):
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"""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"""
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if not image_data:
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logging.warning(f"传入的{image_type}图像数据为空 (Topic {topic_index}, Variant {variant_index})。跳过保存。")
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return
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# 根据图像类型确定保存路径
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if image_type == 'note' or image_type == 'additional': # 笔记图像和额外配图保存到image目录
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# 创建run_id/i_j/image目录
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run_dir = self._get_run_dir(run_id)
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variant_dir = os.path.join(run_dir, f"{topic_index}_{variant_index}")
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image_dir = os.path.join(variant_dir, "image")
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os.makedirs(image_dir, exist_ok=True)
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# 在输出文件名前加上图像类型前缀
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prefixed_filename = f"{image_type}_{output_filename}" if not output_filename.startswith(image_type) else output_filename
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save_path = os.path.join(image_dir, prefixed_filename)
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else:
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# 其他类型图像使用原有的保存路径逻辑
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subdir = None
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if image_type == 'collage':
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subdir = 'collage_img' # 可配置的子目录名称
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elif image_type == 'poster':
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subdir = 'poster'
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else:
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logging.warning(f"未知图像类型 '{image_type}'，保存到变体根目录。")
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subdir = None # 如果类型未知，直接保存到变体目录
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# 确保目标目录存在
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variant_dir = os.path.join(self._get_run_dir(run_id), f"{topic_index}_{variant_index}")
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if subdir:
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target_dir = os.path.join(variant_dir, subdir)
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os.makedirs(target_dir, exist_ok=True)
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else:
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target_dir = variant_dir
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os.makedirs(target_dir, exist_ok=True)
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save_path = os.path.join(target_dir, output_filename)
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try:
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# 保存图片
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image_data.save(save_path)
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logging.info(f"保存{image_type}图像到: {save_path}")
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# 保存元数据（如果有）
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if metadata:
|
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# 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 |