add write_review action and its test

This commit is contained in:
geekan 2023-12-20 15:04:25 +08:00
parent 1ab0ae99a9
commit 6959d40e6d
4 changed files with 119 additions and 3 deletions

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@ -41,10 +41,10 @@ Fill in the above nodes based on the format example.
"""
def dict_to_markdown(d, prefix="-", postfix="\n"):
def dict_to_markdown(d, prefix="##", kv_sep="\n", postfix="\n"):
markdown_str = ""
for key, value in d.items():
markdown_str += f"{prefix} {key}: {value}{postfix}"
markdown_str += f"{prefix}{key}{kv_sep}{value}{postfix}"
return markdown_str

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@ -0,0 +1,40 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Author : alexanderwu
@File : write_review.py
"""
from typing import List
from metagpt.actions import Action
from metagpt.actions.action_node import ActionNode
# from metagpt.llm import LLM
REVIEW = ActionNode(
key="Review",
expected_type=List[str],
instruction="Act as an experienced Reviewer and review the given output. Ask a series of critical questions, "
"concisely and clearly, to help the writer improve their work.",
example=[
"This is a good PRD, but I think it can be improved by adding more details.",
],
)
LGTM = ActionNode(
key="LGTM",
expected_type=str,
instruction="If the output is good enough, give a LGTM (Looks Good To Me) to the writer, "
"else LBTM (Looks Bad To Me).",
example="LGTM",
)
WRITE_REVIEW_NODE = ActionNode.from_children("WRITE_REVIEW_NODE", [REVIEW, LGTM])
class WriteReview(Action):
"""This class allows LLM to further mine noteworthy details based on specific "##TOPIC"(discussion topic) and
"##RECORD" (discussion records), thereby deepening the discussion."""
async def run(self, context):
return await WRITE_REVIEW_NODE.fill(context=context, llm=self.llm, schema="markdown")

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@ -18,7 +18,7 @@ import os
import platform
import re
import typing
from typing import List, Tuple, Union
from typing import List, Tuple, Union, get_args, get_origin
import aiofiles
import loguru
@ -129,8 +129,31 @@ class OutputParser:
parsed_data[block] = content
return parsed_data
@staticmethod
def extract_content(text, tag="CONTENT"):
# Use regular expression to extract content between [CONTENT] and [/CONTENT]
extracted_content = re.search(rf"\[{tag}\](.*?)\[/{tag}\]", text, re.DOTALL)
if extracted_content:
return extracted_content.group(1).strip()
else:
return "No content found between [CONTENT] and [/CONTENT] tags."
@staticmethod
def is_supported_list_type(i):
origin = get_origin(i)
if origin is not List:
return False
args = get_args(i)
if args == (str,) or args == (Tuple[str, str],) or args == (List[str],):
return True
return False
@classmethod
def parse_data_with_mapping(cls, data, mapping):
data = cls.extract_content(text=data)
block_dict = cls.parse_blocks(data)
parsed_data = {}
for block, content in block_dict.items():