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Update AppAgent's self_learn_and_self_reflect's test

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This commit is contained in:
Jiayi Zhang 2024-02-22 17:57:25 +08:00
parent a1b0faacf4
commit 13cf80b46a
5 changed files with 77 additions and 56 deletions
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54
metagpt/actions/action_node.py
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@ -39,7 +39,6 @@ TAG = "CONTENT"
LANGUAGE_CONSTRAINT = "Language: Please use the same language as Human INPUT."
FORMAT_CONSTRAINT = f"Format: output wrapped inside [{TAG}][/{TAG}] like format example, nothing else."
SIMPLE_TEMPLATE = """
## context
{context}
@ -141,14 +140,14 @@ class ActionNode:
instruct_content: BaseModel
def __init__(
self,
key: str,
expected_type: Type,
instruction: str,
example: Any,
content: str = "",
children: dict[str, "ActionNode"] = None,
schema: str = "",
self,
key: str,
expected_type: Type,
instruction: str,
example: Any,
content: str = "",
children: dict[str, "ActionNode"] = None,
schema: str = "",
):
self.key = key
self.expected_type = expected_type
@ -350,14 +349,14 @@ class ActionNode:
after=general_after_log(logger),
)
async def _aask_v1(
self,
prompt: str,
output_class_name: str,
output_data_mapping: dict,
images: Optional[Union[str, list[str]]] = None,
system_msgs: Optional[list[str]] = None,
schema="markdown", # compatible to original format
timeout=3,
self,
prompt: str,
output_class_name: str,
output_data_mapping: dict,
images: Optional[Union[str, list[str]]] = None,
system_msgs: Optional[list[str]] = None,
schema="markdown", # compatible to original format
timeout=3,
) -> (str, BaseModel):
"""Use ActionOutput to wrap the output of aask"""
content = await self.llm.aask(prompt, system_msgs, images=images, timeout=timeout)
@ -391,7 +390,6 @@ class ActionNode:
async def simple_fill(self, schema, mode, images: Optional[Union[str, list[str]]] = None, timeout=3, exclude=None):
prompt = self.compile(context=self.context, schema=schema, mode=mode, exclude=exclude)
if schema != "raw":
mapping = self.get_mapping(mode, exclude=exclude)
class_name = f"{self.key}_AN"
@ -408,15 +406,15 @@ class ActionNode:
return self
async def fill(
self,
context,
llm,
schema="json",
mode="auto",
strgy="simple",
images: Optional[Union[str, list[str]]] = None,
timeout=3,
exclude=[],
self,
context,
llm,
schema="json",
mode="auto",
strgy="simple",
images: Optional[Union[str, list[str]]] = None,
timeout=3,
exclude=[],
):
logger.info("进入fill")
"""Fill the node(s) with mode.
@ -562,7 +560,7 @@ class ActionNode:
return nodes_output
async def auto_revise(
self, revise_mode: ReviseMode = ReviseMode.AUTO, template: str = REVISE_TEMPLATE
self, revise_mode: ReviseMode = ReviseMode.AUTO, template: str = REVISE_TEMPLATE
) -> dict[str, str]:
"""revise the value of incorrect keys"""
# generate review comments