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import re
import json
import copy
# BASE_SURVEY_STRUCTURE = """
# # Title: A survey of ...
# # Introduction: None.
# # Section 1: None.
# ## Subsection 1 (if needed): None.
# ## Subsection 2 (if needed): None.
# ### Subsubsection 1 (if needed): None.
# ### Subsubsection 2 (if needed): None.
# ### ...
# # Section 2: None.
# # ...
# # Conclusion: None.
# """
class SurveyManager:
BASE_SURVEY_STRUCTURE = {
"title": "",
"abstract": "",
"introduction": {
"content": ""
},
"sections": [],
"conclusion": ""
}
def __init__(self):
pass
@staticmethod
def parse_update_pos(update_pos):
"""
(1) "title", "abstract", "introduction", or "conclusion"
(2) "section-i/subsection-j/..."
"""
if update_pos in ["title", "abstract", "introduction", "conclusion","plan"]:
return update_pos
else:
keys = update_pos.split("/")
if len(keys) == 1: # Section-?
i = int(keys[0].lower().split("section-")[-1])
return f"section-{i}"
elif len(keys) == 2: # Section-?/Subsection-?
i = int(keys[0].lower().split("section-")[-1])
j = int(keys[1].lower().split("subsection-")[-1])
return f"section-{i}/subsection-{j}"
elif len(keys) == 3: # Section-?/Subsection-?/Subsubsection-?
i = int(keys[0].lower().split("section-")[-1])
j = int(keys[1].lower().split("subsection-")[-1])
k = int(keys[2].lower().split("subsubsection-")[-1])
return f"section-{i}/subsection-{j}/subsubsection-{k}"
else:
raise ValueError("unsupported update_pos keys")
@staticmethod
def _to_one_line(string):
if isinstance(string, dict):
if "content" in string and string["content"]:
return SurveyManager._to_one_line(string["content"])
# return SurveyManager._to_one_line(string["content"])
else:
return "[PLAN] " + string.get("plan", "").replace("\n", " ").strip()
if not string:
return ""
else:
return string#.replace("\n", " ")
@staticmethod
def convert_survey_dict_to_str(current_survey):
string = ""
if current_survey == {}:
return "There is no survey."
# title
try:
content = SurveyManager._to_one_line(current_survey["title"])
string += f"# {content}\n"
except:
string += f"# Title: None\n"
# abstract
try:
content = SurveyManager._to_one_line(current_survey["abstract"])
string += f"## Abstract\n{content}\n"
except:
string += f"## Abstract\nNone\n"
# introduction
try:
content = SurveyManager._to_one_line(current_survey["introduction"])
string += f"## Introduction\n{content}\n"
except:
string += f"## Introduction\nNone\n"
# sections
if "sections" in current_survey:
for i, section in enumerate(current_survey["sections"]):
title_key = "name" if "name" in section else "title"
name, content = section[title_key], SurveyManager._to_one_line(section)
# string += f"# Section-{i+1} [{name}]: {content}\n"
string += f"## {name}\n{content}\n"
if "subsections" in section:
for j, subsection in enumerate(section["subsections"]):
name, content = subsection[title_key], SurveyManager._to_one_line(subsection)
# string += f" ## Subsection-{j+1} [{name}]: {content}\n"
string += f"### {name}\n{content}\n"
if "subsubsections" in subsection:
for k, subsubsection in enumerate(subsection["subsubsections"]):
name, content = subsubsection[title_key], SurveyManager._to_one_line(subsubsection)
# string += f" ### Subsubsection-{k+1} [{name}]: {content}\n"
string += f"#### {name}\n{content}\n"
# conclusion
try:
content = SurveyManager._to_one_line(current_survey["conclusion"])
string += f"## Conclusion\n{content}\n"
except:
string += f"## Conclusion:\nNone\n"
return string
@staticmethod
def _abbr_one_line(string, abbr=True):
if isinstance(string, dict):
if "content" in string and string["content"]:
return SurveyManager._abbr_one_line(string["content"], abbr=abbr)
elif "plan" in string:
return "[PLAN] " + string["plan"].replace("\n", " ").strip()
else:
return ""
else:
if not string:
return ""
else:
if abbr and len(string) > 50:
return "[OK] " + string.replace("\n", " ").strip()[:50] + "..."
else:
return "[OK] " + string.replace("\n", " ").strip()
@staticmethod
def convert_survey_dict_to_abbr_str(current_survey):
string = ""
if current_survey == {}:
return "There is no survey."
# title
try:
content = SurveyManager._abbr_one_line(current_survey["title"], abbr=False)
string += f"# Title: {content}\n"
except:
string += f"# Title: None\n"
# abstract
try:
content = SurveyManager._abbr_one_line(current_survey["abstract"], abbr=False)
string += f"# Abstract: {content}\n"
except:
string += f"# Abstract: None\n"
# introduction
try:
content = SurveyManager._abbr_one_line(current_survey["introduction"])
string += f"# Introduction: {content}\n"
except:
string += f"# Introduction: None\n"
# sections
if "sections" in current_survey:
for i, section in enumerate(current_survey["sections"]):
title_key = "name" if "name" in section else "title"
name, content = section[title_key], SurveyManager._abbr_one_line(section)
string += f"# Section-{i+1} [{name}]: {content}\n"
if "subsections" in section:
for j, subsection in enumerate(section["subsections"]):
name, content = subsection[title_key], SurveyManager._abbr_one_line(subsection)
string += f" ## Subsection-{j+1} [{name}]: {content}\n"
if "subsubsections" in subsection:
for k, subsubsection in enumerate(subsection["subsubsections"]):
name, content = subsubsection[title_key], SurveyManager._abbr_one_line(subsubsection)
string += f" ### Subsubsection-{k+1} [{name}]: {content}\n"
# conclusion
try:
content = SurveyManager._abbr_one_line(current_survey["conclusion"])
string += f"# Conclusion: {content}\n"
except:
string += f"# Conclusion: None\n"
return string
@staticmethod
def update_one_section(sections, i, content):
# i -= 1
if i >= 0 and i <= (len(sections)-1):
sections[i]["content"] = content
return True
else:
# print("update fail!")
return False
@staticmethod
def update_current_survey(current_survey, answer) -> bool:
"""
update_pos: "section-i/subsection-j/subsubsection-k"
"""
# if answer == {}:
# return True
try:
update_pos, content = answer["update"], answer["content"]
if update_pos == "plan":
# current_survey = content
if current_survey == {}:
for k,v in content.items():
current_survey[k] = copy.deepcopy(v)
else:
return False
elif update_pos in ["conclusion", "abstract"]:
if update_pos not in current_survey:
# print("update fail!")
return False
current_survey[update_pos] = content
elif update_pos == "introduction":
if update_pos not in current_survey:
# print("update fail!")
return False
current_survey[update_pos] = {"content": content}
else:
keys = update_pos.split("/")
if len(keys) == 1: # Section-?
i = int(keys[0].lower().split("section-")[-1])-1
return SurveyManager.update_one_section(current_survey["sections"], i, content)
elif len(keys) == 2: # Section-?/Subsection-?
i = int(keys[0].lower().split("section-")[-1])-1
j = int(keys[1].lower().split("subsection-")[-1])-1
try:
return SurveyManager.update_one_section(current_survey["sections"][i]["subsections"], j, content)
except:
# print("update fail!")
return False
elif len(keys) == 3: # Section-?/Subsection-?/Subsubsection-?
i = int(keys[0].lower().split("section-")[-1])-1
j = int(keys[1].lower().split("subsection-")[-1])-1
k = int(keys[2].lower().split("subsubsection-")[-1])-1
try:
return SurveyManager.update_one_section(current_survey["sections"][i]["subsections"][j]["subsubsections"], k, content) # 禁用第四级
except:
# print("update fail!")
return False
else:
# print("update fail!")
# print("unsupported update_pos keys")
return False
# raise ValueError("unsupported update_pos keys")
except:
# print("update fail!")
return False
# print("answer is not a valid json object.")
# print(answer)
# raise ValueError("answer is not a valid json object.")
return True
from prompts import *
class PromptManger:
system_prompt = SYSTEM_PROMPT_0415_BUFFER
user_prompt_v0 = USER_PROMPT_v0_0424_BUFFER
user_prompt = USER_PROMPT_0415_BUFFER
class BufferManager:
"""
Used to manage prompts/responses generated during the Rollout phase, providing data support for subsequent training.
batch_rollout_data = [
{
query (or env_id): # Uniquely identifies a query or environment, [input parameter].
*running_id: # Uniquely identifies a single rollout. For cases where a query or environment is repeated multiple times, the query can be the same, but running_id will not repeat.
state: { # Indicates whether the process is finished.
"score": 0.0,
"done": True / False
"current_survey": dict # Structured data.
}
trajectory: [ # Organizes all data into a multi-turn interaction format.
{
step: int, 0~?, # The first step, usually includes some init_info or plan.
original_response: str, The raw output from the model, which may have various formatting issues.
answer_thought: str, # Encapsulated using the <think>...</think> block.
answer: {
"original_str": str
"update": str,
"name": str,
"content": str,
"inclusions": list, # Extracted independently?
}
tool_call_thought: str, # Encapsulated using the <think>...</think> block.
tool_call: {
"original_str": str, # Encapsulated using the <tool_call>...</tool_call> block, used for tool invocation. In the survey setting, it is either "done" to end the task or "search".
"tool_name": str # done or search.
"keywords": list[str], Extracted search keywords from tool_call, otherwise none.
}
*papers: list[str], # Top-n papers retrieved via the search engine. Required if using the Agent-Summary-1 for collaborative optimization; otherwise, not needed.
cites: list[str], # References cited by the model, which may include multiple citations.
summarys: list[str], # Summaries of papers generated using Agent-Summary-1. Must include BIBKEY.
*prompt_for_generator: str, # The prompt input to the generator at the current step. Required if using Agent-Summary-2 for generation and collaborative optimization; otherwise, not needed.
},
...
]
},
...
]
"""
def __init__(self, prompts, repeat_n: int=1):
# self.config = config
self.step = 0
self.batch_rollout_data = []
self.running_ids = [] # active envs
batch_size = prompts.batch['input_ids'].size(0)
uids = prompts.non_tensor_batch['uid']
querys = prompts.non_tensor_batch['raw_prompt'].copy()
ground_truths = prompts.non_tensor_batch['ground_truth']
# print(querys)
new_querys = []
for i_batch in range(batch_size):
raw_prompt_i_batch = querys[i_batch][-1]["content"]
new_querys.append(raw_prompt_i_batch)
querys = new_querys
assert len(querys) == len(uids)
for query, uid, ground_truth in zip(querys, uids, ground_truths):
now_survey = {}
for _ in range(repeat_n):
self.batch_rollout_data.append({
"query": query,
"uid": uid,
"state": {
# "score": 0.0, # only for debug
# "format_score": None, # will update at last step
"done": False,
"current_survey": {}
},
"trajectory": [],
"history_messages": [],
})
@staticmethod
def _build_system_prompt():
prompt = PromptManger.system_prompt
return prompt
@staticmethod
def _build_user_prompt_v0(query, current_survey):
# query
prompt = PromptManger.user_prompt_v0.replace("<user_query>", query)
# add template
prompt = prompt.replace("<init_survey>", SurveyManager.convert_survey_dict_to_abbr_str(current_survey))
return prompt
@staticmethod
def _build_user_prompt(query, current_survey, trajs):
last_traj = trajs[-1]
# query
prompt = PromptManger.user_prompt.replace("<user_query>", query)
# add current survey
prompt = prompt.replace("<current_survey>", SurveyManager.convert_survey_dict_to_abbr_str(current_survey))
# current plan
if last_traj["tool_call_thought"] == "":
prompt = prompt.replace("<last_step_thought>", "Your last thought is not available, please give new plan")
else:
prompt = prompt.replace("<last_step_thought>", last_traj["tool_call_thought"])
prompt = prompt.replace("<last_step_tool_call>", json.dumps(last_traj["tool_call"]))
# summarys
for traj in reversed(trajs):
if len(traj["summarys"]) > 0:
break
summary_num = len(traj["summarys"])
if summary_num == 0:
prompt = prompt.replace("<summarys>", "There is no result.")
else:
prompt = prompt.replace("<summarys>", f"There are {summary_num} results:\n\n" + "\n\n".join(traj["summarys"]))
return prompt
@staticmethod
def _build_user_prompt_force_correct(query, current_survey, trajs):
if current_survey == {}:
# gen plan
now_section = "plan"
# trajs[-1]["tool_call_thought"] = "Next I will provide the plan. "
else:
now_section = ""
if isinstance(current_survey["abstract"],dict) and "content" not in current_survey["abstract"]:
now_section = "abstract"
elif "content" not in current_survey["introduction"]:
now_section = "introduction"
elif "sections" in current_survey:
for section in current_survey["sections"]:
if "content" not in section:
now_section = "section-{}".format(current_survey["sections"].index(section) + 1)
break
elif "subsections" in section:
for subsection in section["subsections"]:
if "content" not in subsection:
now_section = "section-{}/subsection-{}".format(
current_survey["sections"].index(section) + 1,
section["subsections"].index(subsection) + 1
)
break
elif "subsubsections" in subsection:
for subsubsection in subsection["subsubsections"]:
if "content" not in subsubsection:
now_section = "section-{}/subsection-{}/subsubsection-{}".format(
current_survey["sections"].index(section) + 1,
section["subsections"].index(subsection) + 1,
subsection["subsubsections"].index(subsubsection) + 1
)
break
if now_section:
break
if now_section:
break
elif isinstance(current_survey["conclusion"],dict) and "content" not in current_survey["conclusion"]:
now_section = "conclusion"
else:
trajs[-1]["tool_call_thought"] = "Next I will finalize the survey."
if now_section != "":
trajs[-1]["tool_call_thought"] = f"Next I will provide {now_section}"
for traj in reversed(trajs):
if len(traj["summarys"]) > 0:
break
summary_num = len(traj["summarys"])
if now_section == "plan" and summary_num == 0:
trajs[-1]["tool_call_thought"] = "I need to get enough information."
return BufferManager._build_user_prompt(query, current_survey, trajs)
@staticmethod
def _check_finalize(query, current_survey, trajs):
if current_survey == {}:
# gen plan
return False
# trajs[-1]["tool_call_thought"] = "Next I will provide the plan. "
else:
now_section = ""
if isinstance(current_survey["abstract"],dict) and "content" not in current_survey["abstract"]:
now_section = "abstract"
elif "content" not in current_survey["introduction"]:
now_section = "introduction"
elif "sections" in current_survey:
for section in current_survey["sections"]:
if "content" not in section:
now_section = "section-{}".format(current_survey["sections"].index(section) + 1)
break
elif "subsections" in section:
for subsection in section["subsections"]:
if "content" not in subsection:
now_section = "section-{}/subsection-{}".format(
current_survey["sections"].index(section) + 1,
section["subsections"].index(subsection) + 1
)
break
elif "subsubsections" in subsection:
for subsubsection in subsection["subsubsections"]:
if "content" not in subsubsection:
now_section = "section-{}/subsection-{}/subsubsection-{}".format(
current_survey["sections"].index(section) + 1,
section["subsections"].index(subsection) + 1,
subsection["subsubsections"].index(subsubsection) + 1
)
break
if now_section:
break
if now_section:
break
elif isinstance(current_survey["conclusion"],dict) and "content" not in current_survey["conclusion"]:
now_section = "conclusion"
# else:
# trajs[-1]["tool_call_thought"] = "Next I will finalize the survey."
if now_section != "":
return False
return True
# rule-based method: query, plan, paragraphs -> prompt -> thought, paragraph, action
def build_prompt_for_generator(self):
total_messages = []
self.running_ids = []
for running_id, data in enumerate(self.batch_rollout_data):
if data["state"]["done"]:
pass
else:
if len(data["trajectory"]) == 0: # first prompt
user_prompt = BufferManager._build_user_prompt_v0(data["query"],
data["state"]["current_survey"])
else:
if data["trajectory"][-1]["update_success"]:
user_prompt = BufferManager._build_user_prompt(data["query"],
data["state"]["current_survey"],
data["trajectory"])
else:
# user_prompt = data["history_messages"][-1][1]["content"]
user_prompt = BufferManager._build_user_prompt_force_correct(data["query"],
data["state"]["current_survey"],
data["trajectory"])
messages = [
{
"role": "system",
"content": BufferManager._build_system_prompt(),
},
{
"role": "user",
"content": user_prompt,
}
]
data["history_messages"].append(messages)
total_messages.append(messages)
self.running_ids.append(running_id) # update running ids
return total_messages
def update_all_scores(self, scores):
assert len(scores) == len(self.batch_rollout_data)
for score, log in zip(scores, self.batch_rollout_data):
log["state"]["score"] = score
def update_all_format_scores(self, scores):
assert len(scores) == len(self.batch_rollout_data)
for score, log in zip(scores, self.batch_rollout_data):
log["state"]["format_score"] = score
def update_trajectory(self, model_responses, env_feedbacks):
"""
model_response: original_response, thought, paragraph, tool_call, format_reward
env_feedback: done, search_keywards, abstracts, outcome_reward
"""
assert len(self.running_ids) == len(model_responses)
assert len(self.running_ids) == len(env_feedbacks)
for running_id, response, feedback in zip(self.running_ids, model_responses, env_feedbacks):
# update state
self.batch_rollout_data[running_id]["state"]["done"] = feedback["done"] # if True, finalize the task
update_success = False
if response["true"]:
if self.batch_rollout_data[running_id]["state"]["current_survey"] != {}:
if len(response["answer"]) != 0: # no empty dict or start
update_success = SurveyManager.update_current_survey(
self.batch_rollout_data[running_id]["state"]["current_survey"],
response["answer"])
else:
# Search Then Write
if len(response["answer"]) != 0 and "There is no result" not in self.batch_rollout_data[running_id]["history_messages"][-1][1]["content"]:
update_success = SurveyManager.update_current_survey(
self.batch_rollout_data[running_id]["state"]["current_survey"],
response["answer"])
elif "There is no result" in self.batch_rollout_data[running_id]["history_messages"][-1][1]["content"] and len(response["answer"]) == 0:
update_success = True
self.batch_rollout_data[running_id]["trajectory"].append({
"step": self.step,
"original_response": response["original_response"],
"answer_thought": response["answer_thought"],
"answer": response["answer"],
"tool_call_thought": response["tool_call_thought"],
"tool_call": response["tool_call"],
"search_keywords": feedback["search_keywords"],
"summarys": feedback["summarys"],
"update_success": update_success and response["true"],
})
self.batch_rollout_data[running_id]["history_messages"][-1].append({
"role": "assistant",
"content": response["original_response"],
})
if self.batch_rollout_data[running_id]["state"]["done"]:
real_done = BufferManager._check_finalize(self.batch_rollout_data[running_id]["query"],
self.batch_rollout_data[running_id]["state"]["current_survey"],
self.batch_rollout_data[running_id]["trajectory"])
if not real_done:
self.batch_rollout_data[running_id]["state"]["done"] = False
@staticmethod
def match_reference(text:str):
reg = r"\\\w*cite(?!style)\w*\{(.+?)\}"
placeholder_reg = re.compile(r"^#\d+$")
reg_bibkeys = re.findall(reg, text)
bibkeys = set()
for bibkey in reg_bibkeys:
single_bib = bibkey.split(",")
for bib in single_bib:
if not placeholder_reg.match(bib):
bib = bib.strip()
if bib and bib != "*":
bibkeys.add(bib)
reg = r"\\nocite{(.+?)\}"
reg_bibkeys = re.findall(reg, text)
for bibkey in reg_bibkeys:
single_bib = bibkey.split(",")
for bib in single_bib:
if not placeholder_reg.match(bib):
bib = bib.strip()
if bib and bib != "*":
bibkeys.remove(bib)
ref_key_list = list(bibkeys)
return ref_key_list
@staticmethod
def parse_generator_response(response):
"""
1. 解析失败： step + 1, 重新生成, 给出提示
2. 解析成功：
2.1 tool_call == search(keywords) 发送post请求
2.2 tool_call == done 结束任务
**standard format**
Current Update:
<think> [Your Thoughts]: str </think>
<answer> {"update": str, "content": str}: dict </answer>
Next Plan:
<think> [Your Thoughts]: str </think>
<tool_call> {"tool": "search", "arguments": {}}: dict</tool_call>
"""
extracted_result = {
"original_response": response
}
try:
current_update = response.split("Current Update:")[-1].split("Next Plan:")[0]
except:
current_update = response
# pattern
think_pattern = r"<think>(.*?)</think>"
answer_pattern = r"<answer>(.*?)</answer>"
tool_pattern = r"<tool_call>(.*?)</tool_call>"
# extract information from current_update
think_match = re.search(think_pattern, current_update, re.DOTALL) # 多行提取
if think_match:
think = think_match.group(1)
think = think.strip()
else:
think = ""
extracted_result["answer_thought"] = think
answer_match = re.search(answer_pattern, current_update, re.DOTALL) # 多行提取
has_answer = False
if answer_match:
answer = answer_match.group(1)
answer = answer.strip()
try:
answer = json.loads(answer)
if not answer == {}:
assert isinstance(answer["update"], str)
answer["update"] = SurveyManager.parse_update_pos(answer["update"])
if answer["update"] == "plan":
assert isinstance(answer["content"], dict)
plan = answer["content"]
assert isinstance(plan, dict)
plan.pop("instruction",None)
keys = ["abstract", "introduction", "conclusion","sections","title"]
for key in keys:
assert key in plan
for key in plan:
assert key in keys
if key == "sections":
assert isinstance(plan[key], list)
for section in plan[key]:
assert isinstance(section, dict)
assert "plan" in section
assert "title" in section
assert isinstance(section["plan"], str)
assert isinstance(section["title"], str)
assert section["title"] != "Methodology" # 不能是Methodology，WIP
if "subsections" in section:
assert isinstance(section["subsections"], list)
for subsection in section["subsections"]:
assert isinstance(subsection, dict)
assert "plan" in subsection
assert "title" in subsection
assert isinstance(subsection["plan"], str)
assert isinstance(subsection["title"], str)
if "subsubsections" in section:
assert isinstance(subsection["subsubsections"], list)
for subsubsection in subsection["subsubsections"]:
assert isinstance(subsubsection, dict)
assert "plan" in subsubsection
assert "title" in subsubsection
assert isinstance(subsubsection["plan"], str)
assert isinstance(subsubsection["title"], str)
elif key == "title":
assert isinstance(plan[key], str)
else:
assert isinstance(plan[key], dict)
assert "plan" in plan[key]
if key not in ["abstract", "conclusion", "introduction"]:
assert "title" in plan[key]
else:
assert isinstance(answer["content"], str)
has_answer = True
except:
answer = {}
else:
answer = {}
extracted_result["answer"] = answer
# extract information from next_plan
try:
next_plan = response.split("Next Plan:")[1]
except:
try:
next_plan = response.split("</answer>")[1]
except:
next_plan = response
think_match = re.search(think_pattern, next_plan, re.DOTALL) # 多行提取
if think_match:
think = think_match.group(1)
think = think.strip()
else:
think = ""
extracted_result["tool_call_thought"] = think
tool_match = re.search(tool_pattern, next_plan, re.DOTALL) # 多行提取
has_tool_call = False
if tool_match:
tool_text = tool_match.group(1)
tool_text = tool_text.strip()
try:
tool_call = json.loads(tool_text)
assert tool_call["name"] in ["search_engine", "finalize"]
if tool_call["name"] == "search_engine":
assert isinstance(tool_call["arguments"]["query"], list)
has_tool_call = True
except:
tool_call = {}
else:
tool_call = {}
extracted_result["tool_call"] = tool_call
extracted_result["true"] = has_answer and has_tool_call
reg = r"[\u4e00-\u9fa5]"
has_chinese = re.search(reg, response) is not None
extracted_result["true"] = extracted_result["true"] and not has_chinese
return extracted_result
class BufferManager_V2(BufferManager):
def __init__(self, querys, repeat_n=1):
# self.config = config
self.step = 0
self.batch_rollout_data = []
self.running_ids = [] # active envs
for uid, query in enumerate(querys):
print("CURRENT QUERY: ", query)
for _ in range(repeat_n):
self.batch_rollout_data.append({
"query": query,
"uid": f"query_{uid}",
"state": {
# "score": 0.0, # only for debug
# "format_score": None, # will update at last step
"done": False,
"current_survey": {}
},
"trajectory": [],
"history_messages": []
})
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