进行文件的逻辑拆分
初步对ui.py以及novel_generator.py进行了拆分
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YILING0013
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#novel_generator/architecture.py
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# -*- coding: utf-8 -*-
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"""
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小说总体架构生成（Novel_architecture_generate 及相关辅助函数）
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"""
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import os
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import json
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import logging
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import traceback
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from novel_generator.common import invoke_with_cleaning
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from llm_adapters import create_llm_adapter
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from prompt_definitions import (
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core_seed_prompt,
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character_dynamics_prompt,
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world_building_prompt,
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plot_architecture_prompt,
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create_character_state_prompt
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)
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from utils import clear_file_content, save_string_to_txt
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def load_partial_architecture_data(filepath: str) -> dict:
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"""
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从 filepath 下的 partial_architecture.json 读取已有的阶段性数据。
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如果文件不存在或无法解析，返回空 dict。
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"""
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partial_file = os.path.join(filepath, "partial_architecture.json")
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if not os.path.exists(partial_file):
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return {}
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try:
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with open(partial_file, "r", encoding="utf-8") as f:
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data = json.load(f)
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return data
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except Exception as e:
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logging.warning(f"Failed to load partial_architecture.json: {e}")
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return {}
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def save_partial_architecture_data(filepath: str, data: dict):
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"""
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将阶段性数据写入 partial_architecture.json。
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"""
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partial_file = os.path.join(filepath, "partial_architecture.json")
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try:
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with open(partial_file, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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except Exception as e:
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logging.warning(f"Failed to save partial_architecture.json: {e}")
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def Novel_architecture_generate(
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interface_format: str,
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api_key: str,
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base_url: str,
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llm_model: str,
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topic: str,
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genre: str,
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number_of_chapters: int,
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word_number: int,
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filepath: str,
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temperature: float = 0.7,
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max_tokens: int = 2048,
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timeout: int = 600
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) -> None:
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"""
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依次调用:
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1. core_seed_prompt
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2. character_dynamics_prompt
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3. world_building_prompt
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4. plot_architecture_prompt
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若在中间任何一步报错且重试多次失败，则将已经生成的内容写入 partial_architecture.json 并退出；
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下次调用时可从该步骤继续。
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最终输出 Novel_architecture.txt
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新增：
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- 在完成角色动力学设定后，依据该角色体系，使用 create_character_state_prompt 生成初始角色状态表，
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并存储到 character_state.txt，后续维护更新。
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"""
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os.makedirs(filepath, exist_ok=True)
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partial_data = load_partial_architecture_data(filepath)
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llm_adapter = create_llm_adapter(
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interface_format=interface_format,
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base_url=base_url,
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model_name=llm_model,
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api_key=api_key,
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temperature=temperature,
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max_tokens=max_tokens,
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timeout=timeout
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)
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# Step1: 核心种子
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if "core_seed_result" not in partial_data:
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logging.info("Step1: Generating core_seed_prompt (核心种子) ...")
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prompt_core = core_seed_prompt.format(
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topic=topic,
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genre=genre,
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number_of_chapters=number_of_chapters,
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word_number=word_number
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)
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core_seed_result = invoke_with_cleaning(llm_adapter, prompt_core)
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if not core_seed_result.strip():
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logging.warning("core_seed_prompt generation failed and returned empty.")
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save_partial_architecture_data(filepath, partial_data)
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return
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partial_data["core_seed_result"] = core_seed_result
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save_partial_architecture_data(filepath, partial_data)
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else:
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logging.info("Step1 already done. Skipping...")
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# Step2: 角色动力学
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if "character_dynamics_result" not in partial_data:
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logging.info("Step2: Generating character_dynamics_prompt ...")
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prompt_character = character_dynamics_prompt.format(core_seed=partial_data["core_seed_result"].strip())
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character_dynamics_result = invoke_with_cleaning(llm_adapter, prompt_character)
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if not character_dynamics_result.strip():
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logging.warning("character_dynamics_prompt generation failed.")
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save_partial_architecture_data(filepath, partial_data)
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return
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partial_data["character_dynamics_result"] = character_dynamics_result
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save_partial_architecture_data(filepath, partial_data)
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else:
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logging.info("Step2 already done. Skipping...")
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# 生成初始角色状态
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if "character_dynamics_result" in partial_data and "character_state_result" not in partial_data:
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logging.info("Generating initial character state from character dynamics ...")
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prompt_char_state_init = create_character_state_prompt.format(
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character_dynamics=partial_data["character_dynamics_result"].strip()
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)
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character_state_init = invoke_with_cleaning(llm_adapter, prompt_char_state_init)
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if not character_state_init.strip():
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logging.warning("create_character_state_prompt generation failed.")
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save_partial_architecture_data(filepath, partial_data)
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return
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partial_data["character_state_result"] = character_state_init
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character_state_file = os.path.join(filepath, "character_state.txt")
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clear_file_content(character_state_file)
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save_string_to_txt(character_state_init, character_state_file)
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save_partial_architecture_data(filepath, partial_data)
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logging.info("Initial character state created and saved.")
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# Step3: 世界观
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if "world_building_result" not in partial_data:
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logging.info("Step3: Generating world_building_prompt ...")
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prompt_world = world_building_prompt.format(core_seed=partial_data["core_seed_result"].strip())
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world_building_result = invoke_with_cleaning(llm_adapter, prompt_world)
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if not world_building_result.strip():
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logging.warning("world_building_prompt generation failed.")
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save_partial_architecture_data(filepath, partial_data)
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return
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partial_data["world_building_result"] = world_building_result
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save_partial_architecture_data(filepath, partial_data)
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else:
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logging.info("Step3 already done. Skipping...")
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# Step4: 三幕式情节
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if "plot_arch_result" not in partial_data:
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logging.info("Step4: Generating plot_architecture_prompt ...")
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prompt_plot = plot_architecture_prompt.format(
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core_seed=partial_data["core_seed_result"].strip(),
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character_dynamics=partial_data["character_dynamics_result"].strip(),
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world_building=partial_data["world_building_result"].strip()
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)
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plot_arch_result = invoke_with_cleaning(llm_adapter, prompt_plot)
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if not plot_arch_result.strip():
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logging.warning("plot_architecture_prompt generation failed.")
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save_partial_architecture_data(filepath, partial_data)
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return
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partial_data["plot_arch_result"] = plot_arch_result
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save_partial_architecture_data(filepath, partial_data)
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else:
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logging.info("Step4 already done. Skipping...")
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core_seed_result = partial_data["core_seed_result"]
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character_dynamics_result = partial_data["character_dynamics_result"]
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world_building_result = partial_data["world_building_result"]
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plot_arch_result = partial_data["plot_arch_result"]
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final_content = (
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"#=== 0) 小说设定 ===\n"
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f"主题：{topic},类型：{genre},篇幅：约{number_of_chapters}章（每章{word_number}字）\n\n"
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"#=== 1) 核心种子 ===\n"
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f"{core_seed_result}\n\n"
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"#=== 2) 角色动力学 ===\n"
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f"{character_dynamics_result}\n\n"
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"#=== 3) 世界观 ===\n"
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f"{world_building_result}\n\n"
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"#=== 4) 三幕式情节架构 ===\n"
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f"{plot_arch_result}\n"
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)
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arch_file = os.path.join(filepath, "Novel_architecture.txt")
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clear_file_content(arch_file)
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save_string_to_txt(final_content, arch_file)
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logging.info("Novel_architecture.txt has been generated successfully.")
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partial_arch_file = os.path.join(filepath, "partial_architecture.json")
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if os.path.exists(partial_arch_file):
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os.remove(partial_arch_file)
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logging.info("partial_architecture.json removed (all steps completed).")
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