adelevett's picture
Deploy ELBench-live dashboard
5db30ac verified
Raw History Blame Contribute Delete
5.82 kB
from copy import deepcopy
import itertools
import yaml
from typing import Dict, Any, List, Union
from pathlib import Path
from elbench.basic_education_runtime.entity import Prompt
import re
think_regex = re.compile(r"<think>(.*?)</think>", re.DOTALL)
def content_to_text(content: Any, include_reasoning: bool = False) -> str:
if content is None:
return ""
if isinstance(content, str):
return think_regex.sub("", content).strip()
if isinstance(content, list):
parts: List[str] = []
for item in content:
text = content_to_text(item, include_reasoning=include_reasoning)
if text:
parts.append(text)
return "\n".join(parts).strip()
if isinstance(content, dict):
if "role" in content and "content" in content:
return content_to_text(content["content"], include_reasoning=include_reasoning)
block_type = str(content.get("type", "")).strip().lower()
if block_type == "reasoning" and not include_reasoning:
return ""
if block_type in {"text", "output_text"}:
return content_to_text(content.get("text", ""), include_reasoning=include_reasoning)
if block_type == "reasoning":
summary = content_to_text(content.get("summary", ""), include_reasoning=True)
if summary:
return summary
return content_to_text(content.get("text", ""), include_reasoning=True)
if "text" in content:
return content_to_text(content.get("text", ""), include_reasoning=include_reasoning)
if "summary" in content:
return content_to_text(content.get("summary", ""), include_reasoning=include_reasoning)
if "content" in content:
return content_to_text(content.get("content", ""), include_reasoning=include_reasoning)
return ""
return str(content).strip()
def remove_think(prompt: str | list[str | dict[str, str]] | dict[str, str]):
if isinstance(prompt, str):
return think_regex.sub("", prompt)
elif isinstance(prompt, dict):
if "role" in prompt and "content" in prompt:
return {
"role": prompt["role"],
"content": remove_think(prompt["content"]),
}
result = dict(prompt)
if "content" in result:
result["content"] = remove_think(result["content"])
if "text" in result:
result["text"] = remove_think(result["text"])
if "summary" in result:
result["summary"] = remove_think(result["summary"])
return result
elif isinstance(prompt, list):
return [remove_think(item) for item in prompt]
else:
raise ValueError("Invalid type")
def parse_yaml(path: Path) -> Dict[str, Any]:
with open(path, "r") as f:
t = f.read()
for d in yaml.safe_load_all(t):
return d
return {}
def replace_prompt(
prompt: Union[
List[Dict[str, str]], List[Prompt], Dict[str, str], List[Prompt], Prompt
],
prompt_map: Dict[str, str],
) -> Union[List[Dict[str, str]], List[Prompt]]:
result = []
if isinstance(prompt, List):
if len(prompt) > 0:
for p in prompt:
p = deepcopy(p) # deep copy to avoid modifying the original
if isinstance(p, Dict):
r = {"role": p["role"]}
for k, v in prompt_map.items():
r["content"] = p["content"].replace("{" + k + "}", v)
result.append(r)
else: # isinstance(p, Prompt):
for k, v in prompt_map.items():
p.content = p.content.replace("{" + k + "}", v)
result.append({"role": p.role, "content": p.content})
else:
p = deepcopy(prompt)
if isinstance(p, Dict):
r = {"role": p["role"]}
for k, v in prompt_map.items():
r["content"] = p["content"].replace("{" + k + "}", v)
result.append(r)
else:
for k, v in prompt_map.items():
p.content = p.content.replace("{" + k + "}", v)
result.append({"role": p.role, "content": p.content})
return result
def extract(data: Dict[str, Any], key: str) -> List[Dict[str, Any]] | Dict[str, Any]:
if key == "tasks":
tasks = data["tasks"]
mode = tasks["mode"].lower()
start_prompt = tasks.get("start_prompt", None)
if mode == "union":
content = tasks["content"]
subcontent_len: List[int] = []
subcontent_keys: List[str] = []
sum = 0
for k, v in content.items():
if sum == 0:
sum = 1
sum *= len(v)
subcontent_len.append(len(v))
subcontent_keys.append(k)
keys = list(content.keys())
values = [content[key] for key in keys]
combinations = list(itertools.product(*values))
cc: List[Dict[str, Any]] = []
for c in combinations:
entry = dict(zip(keys, c))
cc.append(entry)
return {
"start_prompt": start_prompt,
"variables": cc,
}
elif mode == "iter":
result = []
for c in data["tasks"]["content"]:
entry = c
result.append(entry)
return {
"start_prompt": start_prompt,
"variables": result,
}
else:
raise NotImplementedError
else:
return data[key]
def prompt_to_dict(prompt: Prompt) -> Dict[str, Any]:
return {"role": prompt.role, "content": prompt.content}