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traj_generate-en.py
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traj_generate-en.py
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import openai
import time
import json
from toolbox.tools_en import *
openai.api_key = ""
openai.api_base = ""
with open("prompt/trajectory_generation_en.jsonl", "r") as f:
global prompt
prompt = []
for line in f:
prompt.append(json.loads(line))
print(len(prompt))
def get_res_batch(input):
global prompt
messages = prompt+[input]
prompt = messages
print("######", messages[-1])
while True:
try:
res = openai.ChatCompletion.create(
model = "gpt-4",
messages=messages,
temperature=0
)
break
except openai.error.RateLimitError:
print('openai.error.RateLimitError\nRetrying...')
time.sleep(20)
except openai.error.ServiceUnavailableError:
print('openai.error.ServiceUnavailableError\nRetrying...')
time.sleep(20)
except openai.error.Timeout:
print('openai.error.Timeout\nRetrying...')
time.sleep(20)
except openai.error.APIError:
print('openai.error.APIError\nRetrying...')
time.sleep(20)
except openai.error.APIConnectionError:
print('openai.error.APIConnectionError\nRetrying...')
time.sleep(20)
return res['choices'][0]['message']['content']
def dump_jsonl(data, output_path, append=False):
"""
Write list of objects to a JSON lines file.
"""
mode = 'a+' if append else 'w'
with open(output_path, 'a+', encoding='utf-8') as f:
json_record = json.dumps(data, ensure_ascii=False)
f.write(json_record + '\n')
def generate_p(file, output):
global prompt
with open(file, "r", encoding="utf-8") as f:
data = []
data = json.load(f)
print(len(data))
cnt = 0
res = []
fail_num = []
try:
for d in data:
cnt += 1
prompt = prompt[:14]
# print(len(prompt))
query = {"role": "user", "content": "QUERY: " + d["question"] + " RESPONSE: " + d["answer"]}
ans = get_res_batch(query)
if ("ACTION:") in ans:
action = ans.split("ACTION:")[-1].strip(".").strip()
if "\n" in action:
action = action.split("\n")[0]
ans = ans.split("ACTION:")[0] + "ACTION:" + action
prompt.append({"role": "assistant", "content": ans})
print(ans)
label_list = []
fact_list = []
sen_list = [d["answer"]]
# Tool Check
try:
while True:
response = "OBSERVATION:"
action = ans.split("ACTION:")[-1].strip(".").strip(":").strip()
print(action)
if "split" in action:
action = action.replace("：","")
sentences = eval(action)
response = {"role": "user", "content": response+str(sentences)}
sen_list = sentences
elif "calculator" in action:
result, label = eval(action)
response = {"role": "user", "content": response + result+", label = " + str(label)}
fact_list.append(result)
label_list.append(label)
elif "web_search" in action:
fact, label = eval(action)
response = {"role": "user", "content": response+fact+", label = " + str(label)}
fact_list.append(fact)
label_list.append(label)
elif "code_interpreter" in action:
label, report = eval(action)
# label, report = code_interpreter(code=d["answer"])
text = "label = " + str(label)
response = response+text
sen_list.append(d["answer"])
fact = report
fact_list.append(fact)
label_list.append(label)
elif "match" in action:
label = eval(action)
text = "label = " + str(label)
response = {"role": "user", "content": response+text}
fact = action.split("context=")[-1].strip("\"")
fact_list.append(fact)
label_list.append(label)
elif "word_count" in action:
count, label = eval(action)
response = {"role": "user", "content": response+"The number of words in this text is "+str(count)}
label_list.append(label)
fact_list.append("The number of words in this text is "+str(count))
elif "get_answer" in action:
if sen_list == []:
sen_list.append(d["answer"])
final_answer = get_answer(sen_list,label_list,fact_list)
response = {"role": "user", "content": response+final_answer}
prompt.append(response)
break
else:
print("No such tool, repeat!")
assert(isinstance(response, dict))
# print(response)
ans = get_res_batch(response)
if ("ACTION:") in ans:
action = ans.split("ACTION:")[-1].strip(".").strip()
if "\n" in action:
action = action.split("\n")[0]
ans = ans.split("ACTION:")[0] + "ACTION:" + action
prompt.append({"role": "assistant", "content": ans})
print(ans)
except Exception as e:
print(e)
fail_num.append(cnt)
d["final_answer"] = "Error"
d["trajectory"] = prompt[14:]
res.append(d)
dump_jsonl(d,f"{output}l", append=True)
continue
final_answer = final_answer.split("OBSERVATION:")[-1].strip()
d["final_answer"] = final_answer
d["trajectory"] = prompt[14:]
res.append(d)
dump_jsonl(d, f"{output}l", append=True)
with open(output,"w") as f:
json.dump(res,f,ensure_ascii=False,indent=4)
except Exception as e:
print(f"发生错误: {e}")
# 在发生错误时保存当前结果
with open(f"{output}_backup.json", "w") as f:
json.dump(res, f, ensure_ascii=False, indent=4)
print(f"共有{len(fail_num)}个问题处理失败")
print(fail_num)
if __name__ == '__main__':
file = ""
output_file = ""
generate_p(file, output_file)