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import re
from typing import Dict, List, Optional, Tuple
import yaml
from plugin_task.model import Plugin, ReActStep
from plugin_task.plugins import PLUGINS
def build_prompt_plugin_variables(plugins: List[Plugin]) -> Tuple[str, str]:
tools_string = ""
for plugin in plugins:
tools_string += f"{plugin.unique_name_for_model}: {plugin.description_for_human} Parameters: {plugin.parameter_schema} Format the arguments as a JSON object.\n\n"
return tools_string, ",".join([plugin.unique_name_for_model for plugin in plugins])
def parse_reAct_step(text: str) -> Optional[ReActStep]:
"""解析 RaAct 推理步骤"""
regex = r"Thought\s*\d*\s*:[\s]*(.*?)[\s]*Action\s*\d*\s*:[\s]*(.*?)[\s]*Action\s*\d*\s*Input\s*\d*\s*:[\s]*(.*)"
match = re.search(regex, text, re.DOTALL)
if not match:
return None
thought = match.group(1).strip()
action = match.group(2).strip()
action_input = match.group(3).strip()
try:
thought = yaml.safe_load(thought)
except Exception as e:
print(f"[parse_reAct_step] error: {e}, thought: {thought}")
return None
try:
action_input = yaml.safe_load(action_input)
except Exception as e:
print(f"[parse_reAct_step] error: {e}, action_input: {action_input}")
return None
return ReActStep(
thought=thought or {},
action=action,
action_input=action_input or {},
observation={},
)
def plugin_parameter_validator(
known_parameters: Dict, plugin_name: str
) -> Tuple[bool, List[Dict[str, str]]]:
plugin = PLUGINS[plugin_name]
invalid_info = []
for parameter in plugin.required_parameters:
if not known_parameters.get(parameter.name):
invalid_info.append(
{
"invalid_field": parameter.name,
"invalid_reason": f"{parameter.name} 字段缺失，字段描述：{parameter.description}",
}
)
if parameter.enum:
parameter_value = known_parameters[parameter.name]
if parameter_value not in parameter.enum:
invalid_info.append(
{
"invalid_field": parameter.name,
"invalid_reason": f"{parameter.name} 字段值不合法，字段描述：{parameter.description}，可选值范围：{parameter.enum}",
}
)
return len(invalid_info) == 0, invalid_info
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