mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-10-07 03:00:27 +00:00
Refactor code to use workflow context consistently
This commit is contained in:
parent
39b23c178c
commit
ceffb56a53
19 changed files with 78 additions and 82 deletions
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@ -28,7 +28,7 @@ class BaseWorkflow(object):
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self.workflow_worker_list: List[List[List[str]]] = []
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self.worker_dict: Dict[str, BaseWorker | bool] = {}
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self.context: Dict[str, Any] = {}
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self.workflow_context: Dict[str, Any] = {}
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self.context_lock = threading.Lock()
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self.logger: Logger = Logger.get_logger(Logger.append_timestamp("workflow"))
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@ -142,7 +142,7 @@ class BaseWorkflow(object):
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config=self.memoryscope_context.worker_conf_dict[name],
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name=name,
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is_multi_thread=is_backend or self.worker_dict[name],
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context=self.context,
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context=self.workflow_context,
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memoryscope_context=self.memoryscope_context,
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context_lock=self.context_lock,
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thread_pool=self.thread_pool,
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@ -174,12 +174,12 @@ class BaseWorkflow(object):
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log_buf = f"Operation: {self.name}"
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self.logger.info(log_buf)
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self.workflow_print_console(log_buf, style="bold red")
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self.context.clear()
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self.context.update({WORKFLOW_NAME: self.name, **kwargs})
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self.workflow_context.clear()
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self.workflow_context.update({WORKFLOW_NAME: self.name, **kwargs})
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n_stage = len(self.workflow_worker_list)
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# Iterate over each part of the workflow
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for index, workflow_part in enumerate(self.workflow_worker_list):
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# self.logger.info(self.logger.format_current_context(self.context))
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# self.logger.info(self.logger.format_current_context(self.workflow_context))
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# Sequential execution for single-item parts
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if len(workflow_part) == 1:
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log_buf = f"\t- Operation: {self.name} | {index+1}/{n_stage}: {workflow_part[0]}"
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@ -70,7 +70,7 @@ class ConsolidateMemoryOp(BackendOperation):
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self.run_workflow(**workflow_kwargs)
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# Retrieve the result from the context after workflow execution
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result = self.context.get(RESULT)
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result = self.workflow_context.get(RESULT)
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# set message memorized
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with self.message_lock:
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@ -58,4 +58,4 @@ class FrontendOperation(BaseWorkflow, BaseOperation):
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self.run_workflow(**workflow_kwargs)
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# Retrieve the result from the context after workflow execution
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return self.context.get(RESULT)
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return self.workflow_context.get(RESULT)
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@ -15,12 +15,6 @@ from .tool_functions import (
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cosine_similarity
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)
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def get_context():
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from memoryscope import MemoryscopeContext
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return MemoryscopeContext()
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__all__ = [
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"DatetimeHandler",
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"Logger",
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@ -84,34 +84,36 @@ class Logger(logging.Logger):
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return rich2text(Panel(context, width=128))
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def format_chat_message(self, message):
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buf = '\n'
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buf += f"LM Input:\n"
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buf = []
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buf.append('\n')
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buf.append(f"LM Input:\n")
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for chat_message in message.meta_data['data']['messages']:
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buf += chat_message.content
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buf += '\n'
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buf += f"--------------------------------------------------------------\n"
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buf += f"LM Output:\n"
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buf += message.message.content
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buf += '\n'
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buf += '\n'
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return self.wrap_in_box(buf)
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buf.append(chat_message.content)
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buf.append('\n')
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buf.append(f"--------------------------------------------------------------\n")
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buf.append(f"LM Output:\n")
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buf.append(message.message.content)
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buf.append('\n')
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buf.append('\n')
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return self.wrap_in_box(''.join(buf))
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def format_rank_message(self, model_response):
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buf = '\n'
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buf += f"Query Input:\n"
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buf += model_response.meta_data['data']['query_str']
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buf += '\n'
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buf += f"--------------------------------------------------------------\n"
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buf += f"Rank:\n"
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buf = []
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buf.append('\n')
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buf.append(f"Query Input:\n")
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buf.append(model_response.meta_data['data']['query_str'])
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buf.append('\n')
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buf.append(f"--------------------------------------------------------------\n")
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buf.append(f"Rank:\n")
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rank = 0
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for index, score in model_response.rank_scores.items():
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rank += 1
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node = model_response.meta_data['data']['nodes'][index]
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node_text = node.text
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buf += f"Score {score} | Rank {rank} | {node_text}\n"
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buf += '\n'
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buf += '\n'
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return self.wrap_in_box(buf)
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buf.append(f"Score {score} | Rank {rank} | {node_text}\n")
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buf.append('\n')
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buf.append('\n')
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return self.wrap_in_box(''.join(buf))
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def _add_file_handler(self):
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"""
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@ -116,4 +116,4 @@ class UpdateMemoryWorker(MemoryBaseWorker):
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for action, nodes in updated_nodes.items():
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for node in nodes:
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line.append(f"{action} {node.memory_type}: {node.content} ({node.store_status})")
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self.set_context(RESULT, "\n".join(line))
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self.set_workflow_context(RESULT, "\n".join(line))
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@ -37,7 +37,7 @@ class BaseWorker(metaclass=ABCMeta):
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"""
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self.name: str = name
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self.context: Dict[str, Any] = context
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self.workflow_context: Dict[str, Any] = context
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self.memoryscope_context: MemoryscopeContext = memoryscope_context
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self.context_lock = context_lock
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self.raise_exception: bool = raise_exception
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@ -164,7 +164,7 @@ class BaseWorker(metaclass=ABCMeta):
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except Exception as e:
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self.logger.exception(f"run {self.name} failed! args={e.args}")
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def get_context(self, key: str, default=None):
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def get_workflow_context(self, key: str, default=None):
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"""
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Retrieves a value from the shared context.
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@ -175,9 +175,9 @@ class BaseWorker(metaclass=ABCMeta):
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Returns:
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The value from the context or the default value.
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"""
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return self.context.get(key, default)
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return self.workflow_context.get(key, default)
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def set_context(self, key: str, value: Any):
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def set_workflow_context(self, key: str, value: Any):
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"""
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Sets a value in the shared context.
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@ -187,9 +187,9 @@ class BaseWorker(metaclass=ABCMeta):
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"""
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if self.is_multi_thread:
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with self.context_lock:
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self.context[key] = value
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self.workflow_context[key] = value
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else:
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self.context[key] = value
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self.workflow_context[key] = value
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def has_content(self, key: str):
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"""
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@ -201,4 +201,4 @@ class BaseWorker(metaclass=ABCMeta):
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Returns:
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bool: True if the key is in the context, otherwise False.
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"""
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return key in self.context
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return key in self.workflow_context
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@ -12,11 +12,11 @@ class DummyWorker(MemoryBaseWorker):
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This method utilizes the BaseWorker's capabilities to interact with the workflow context.
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"""
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workflow_name = self.get_context(WORKFLOW_NAME)
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chat_kwargs = self.get_context(CHAT_KWARGS)
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workflow_name = self.get_workflow_context(WORKFLOW_NAME)
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chat_kwargs = self.get_workflow_context(CHAT_KWARGS)
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self.logger.info(f"Entering workflow={workflow_name}.dummy_worker!")
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# Records the current timestamp as an integer
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ts = int(datetime.datetime.now().timestamp())
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# Retrieves the current file's path
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file_path = __file__
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self.set_context(RESULT, f"test {workflow_name} kwargs={chat_kwargs} file_path={file_path} \nts={ts}")
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self.set_workflow_context(RESULT, f"test {workflow_name} kwargs={chat_kwargs} file_path={file_path} \nts={ts}")
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@ -29,7 +29,7 @@ class ExtractTimeWorker(MemoryBaseWorker):
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The response is parsed for time-related data using regex, translated via a language-specific key map,
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and the resulting time data is stored in the shared context.
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"""
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query, query_timestamp = self.get_context(QUERY_WITH_TS)
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query, query_timestamp = self.get_workflow_context(QUERY_WITH_TS)
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# Identify if the query contains datetime keywords
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contain_datetime = DatetimeHandler.has_time_word(query, self.language)
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@ -62,4 +62,4 @@ class ExtractTimeWorker(MemoryBaseWorker):
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if key in key_map.keys():
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extract_time_dict[key_map[key]] = value
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self.logger.info(f"response_text={response_text} matches={matches} filters={extract_time_dict}")
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self.set_context(EXTRACT_TIME_DICT, extract_time_dict)
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self.set_workflow_context(EXTRACT_TIME_DICT, extract_time_dict)
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@ -61,7 +61,7 @@ class FuseRerankWorker(MemoryBaseWorker):
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5. Logs reranking details and formats the final list of memories for output.
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"""
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# Parse input parameters from the worker's context
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extract_time_dict: Dict[str, str] = self.get_context(EXTRACT_TIME_DICT)
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extract_time_dict: Dict[str, str] = self.get_workflow_context(EXTRACT_TIME_DICT)
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memory_node_list: List[MemoryNode] = self.memory_manager.get_memories(RANKED_MEMORY_NODES)
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# Check if memory nodes are available; warn and return if not
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@ -106,4 +106,4 @@ class FuseRerankWorker(MemoryBaseWorker):
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memories.append(f"[{datetime} {weekday}] {node.content}")
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# Set the final list of formatted memories back into the worker's context
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self.set_context(RESULT, "\n".join(memories))
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self.set_workflow_context(RESULT, "\n".join(memories))
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@ -63,4 +63,4 @@ class PrintMemoryWorker(MemoryBaseWorker):
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observation_memory="\n".join(observation_memory_list),
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insight_memory="\n".join(insight_memory_list),
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expired_memory="\n".join(expired_memory_list)).strip()
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self.set_context(RESULT, result)
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self.set_workflow_context(RESULT, result)
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@ -37,4 +37,4 @@ class ReadMessageWorker(MemoryBaseWorker):
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for messages in chat_messages_not_memorized[-contextual_msg_max_count:]:
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chat_message_scatter.extend(messages)
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chat_message_scatter.sort(key=lambda _: _.time_created)
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self.set_context(RESULT, chat_message_scatter)
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self.set_workflow_context(RESULT, chat_message_scatter)
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@ -119,7 +119,7 @@ class RetrieveMemoryWorker(MemoryBaseWorker):
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6. Logs detailed information about each memory node.
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7. Stores the processed memory nodes for further use.
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"""
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query, _ = self.get_context(QUERY_WITH_TS)
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query, _ = self.get_workflow_context(QUERY_WITH_TS)
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self.logger.info(f"retrieve memory with query={query}.")
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self.submit_thread_task(self.retrieve_from_observation, query=query)
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self.submit_thread_task(self.retrieve_from_insight, query=query)
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@ -32,7 +32,7 @@ class SemanticRankWorker(MemoryBaseWorker):
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appropriate warnings are logged.
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"""
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# query
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query, _ = self.get_context(QUERY_WITH_TS)
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query, _ = self.get_workflow_context(QUERY_WITH_TS)
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memory_node_list: List[MemoryNode] = self.memory_manager.get_memories(RETRIEVE_MEMORY_NODES)
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if not memory_node_list:
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self.logger.warning("Retrieve memory nodes is empty!")
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@ -36,4 +36,4 @@ class SetQueryWorker(MemoryBaseWorker):
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timestamp = _timestamp
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# Store the determined query and its timestamp in the context
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self.set_context(QUERY_WITH_TS, (query, timestamp))
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self.set_workflow_context(QUERY_WITH_TS, (query, timestamp))
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@ -54,7 +54,7 @@ class MemoryBaseWorker(BaseWorker, metaclass=ABCMeta):
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Returns:
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List[Message]: List of chat messages.
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"""
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return self.get_context(CHAT_MESSAGES)
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return self.get_workflow_context(CHAT_MESSAGES)
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@property
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def chat_messages_scatter(self) -> List[Message]:
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@ -64,7 +64,7 @@ class MemoryBaseWorker(BaseWorker, metaclass=ABCMeta):
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Returns:
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List[Message]: List of chat messages.
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"""
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result = self.get_context(CHAT_MESSAGES_SCATTER)
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result = self.get_workflow_context(CHAT_MESSAGES_SCATTER)
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if not result:
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if isinstance(self.chat_messages[0], list):
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@ -73,13 +73,13 @@ class MemoryBaseWorker(BaseWorker, metaclass=ABCMeta):
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if messages:
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chat_messages.extend(messages)
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chat_messages.sort(key=lambda _: _.time_created)
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self.set_context(CHAT_MESSAGES_SCATTER, chat_messages)
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self.set_workflow_context(CHAT_MESSAGES_SCATTER, chat_messages)
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else:
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assert isinstance(self.chat_messages[0], Message)
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self.set_context(CHAT_MESSAGES_SCATTER, self.chat_messages)
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self.set_workflow_context(CHAT_MESSAGES_SCATTER, self.chat_messages)
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return self.get_context(CHAT_MESSAGES_SCATTER)
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return self.get_workflow_context(CHAT_MESSAGES_SCATTER)
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@chat_messages_scatter.setter
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def chat_messages_scatter(self, value: List[Message]):
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@ -87,7 +87,7 @@ class MemoryBaseWorker(BaseWorker, metaclass=ABCMeta):
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Set the chat messages with the new value.
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"""
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self.set_context(CHAT_MESSAGES_SCATTER, value)
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self.set_workflow_context(CHAT_MESSAGES_SCATTER, value)
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@property
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def chat_kwargs(self) -> Dict[str, Any]:
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@ -100,19 +100,19 @@ class MemoryBaseWorker(BaseWorker, metaclass=ABCMeta):
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Returns:
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Dict[str, str]: A dictionary containing the chat keyword arguments.
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"""
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return self.get_context(CHAT_KWARGS)
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return self.get_workflow_context(CHAT_KWARGS)
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@property
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def user_name(self) -> str:
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return self.get_context(USER_NAME)
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return self.get_workflow_context(USER_NAME)
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@property
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def target_name(self) -> str:
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return self.get_context(TARGET_NAME)
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return self.get_workflow_context(TARGET_NAME)
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@property
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def workflow_name(self) -> str:
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return self.get_context(WORKFLOW_NAME)
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return self.get_workflow_context(WORKFLOW_NAME)
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@property
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def language(self) -> LanguageEnum:
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@ -204,8 +204,8 @@ class MemoryBaseWorker(BaseWorker, metaclass=ABCMeta):
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MemoryHandler: An instance of MemoryHandler.
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"""
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if not self.has_content(MEMORY_MANAGER):
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self.set_context(MEMORY_MANAGER, MemoryManager(self.memoryscope_context, worker_name=self.name))
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return self.get_context(MEMORY_MANAGER)
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self.set_workflow_context(MEMORY_MANAGER, MemoryManager(self.memoryscope_context, workerflow_name=self.workflow_name))
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return self.get_workflow_context(MEMORY_MANAGER)
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def get_language_value(self, languages: dict | List[dict]) -> Any | List[Any]:
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"""
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@ -13,7 +13,7 @@ class MemoryManager(object):
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The `MemoryHandler` class manages memory nodes with memory store.
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"""
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def __init__(self, memoryscope_context: MemoryscopeContext, worker_name: str ="default_worker"):
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def __init__(self, memoryscope_context: MemoryscopeContext, workerflow_name: str ="default_worker"):
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self.memoryscope_context: MemoryscopeContext = memoryscope_context
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self._memory_store: BaseMemoryStore | None = None
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@ -26,7 +26,7 @@ class MemoryManager(object):
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self.logger = Logger.get_logger(Logger.append_timestamp("memory_manager"))
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self.worker_name = worker_name
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self.workerflow_name = workerflow_name
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@property
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@ -101,7 +101,7 @@ class MemoryManager(object):
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if nodes:
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self.logger.info(
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self.logger.wrap_in_box(
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'\n'.join([f"worker_name: {self.worker_name} | memory_type:{node.memory_type} | content:{node.content}" for node in nodes])
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'\n'.join([f"workerflow_name: {self.workerflow_name} | memory_type:{node.memory_type} | content:{node.content}" for node in nodes])
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)
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)
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@ -52,10 +52,10 @@ class TestWorkersCn(unittest.TestCase):
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query = "明天我去上海出差"
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query_timestamp = int(datetime.datetime.now().timestamp())
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worker.set_context(QUERY_WITH_TS, (query, query_timestamp))
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worker.set_workflow_context(QUERY_WITH_TS, (query, query_timestamp))
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worker.run()
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result = worker.get_context(EXTRACT_TIME_DICT)
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result = worker.get_workflow_context(EXTRACT_TIME_DICT)
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worker.logger.info(f"result={result}")
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# @unittest.skip
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@ -85,7 +85,7 @@ class TestWorkersCn(unittest.TestCase):
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role_name=self.arguments.human_name),
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]
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worker.set_context(CHAT_MESSAGES_SCATTER, chat_messages)
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worker.set_workflow_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [msg.content for msg in worker.chat_messages_scatter]
|
||||
|
|
@ -133,7 +133,7 @@ class TestWorkersCn(unittest.TestCase):
|
|||
role_name=self.arguments.human_name),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [msg.content for msg in worker.chat_messages_scatter]
|
||||
|
|
@ -167,7 +167,7 @@ class TestWorkersCn(unittest.TestCase):
|
|||
# Message(role=MessageRoleEnum.USER.value, content="我在一家叫京东的公司干活"),
|
||||
# ]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [node.content for node in worker.memory_manager.get_memories(NEW_OBS_NODES)]
|
||||
|
|
@ -198,7 +198,7 @@ class TestWorkersCn(unittest.TestCase):
|
|||
Message(role=MessageRoleEnum.USER.value, content="最后一个问题,你知道怎么才能维持广泛的社交关系吗?", role_name=self.arguments.human_name),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [node.content for node in worker.memory_manager.get_memories(NEW_OBS_NODES)]
|
||||
|
|
@ -227,7 +227,7 @@ class TestWorkersCn(unittest.TestCase):
|
|||
Message(role=MessageRoleEnum.USER.value, content="明天是我生日", role_name=self.arguments.human_name),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES_SCATTER, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [node.content for node in worker.memory_manager.get_memories(NEW_OBS_WITH_TIME_NODES)]
|
||||
|
|
|
|||
|
|
@ -50,10 +50,10 @@ class TestWorkersEn(unittest.TestCase):
|
|||
|
||||
query = "I will be on a business trip to Shanghai tomorrow."
|
||||
query_timestamp = int(datetime.datetime.now().timestamp())
|
||||
worker.set_context(QUERY_WITH_TS, (query, query_timestamp))
|
||||
worker.set_workflow_context(QUERY_WITH_TS, (query, query_timestamp))
|
||||
worker.run()
|
||||
|
||||
result = worker.get_context(EXTRACT_TIME_DICT)
|
||||
result = worker.get_workflow_context(EXTRACT_TIME_DICT)
|
||||
worker.logger.info(f"result={result}")
|
||||
|
||||
@unittest.skip
|
||||
|
|
@ -75,7 +75,7 @@ class TestWorkersEn(unittest.TestCase):
|
|||
content="I'm going to take the college entrance examination tomorrow."),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [msg.content for msg in worker.chat_messages_scatter]
|
||||
|
|
@ -123,7 +123,7 @@ class TestWorkersEn(unittest.TestCase):
|
|||
content="Last question, do you know how to maintain extensive social relationships?"),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [msg.content for msg in worker.chat_messages_scatter]
|
||||
|
|
@ -152,7 +152,7 @@ class TestWorkersEn(unittest.TestCase):
|
|||
Message(role=MessageRoleEnum.USER.value, content="I work for a company called JD.com"),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [node.content for node in worker.memory_manager.get_memories(NEW_OBS_NODES)]
|
||||
|
|
@ -194,7 +194,7 @@ class TestWorkersEn(unittest.TestCase):
|
|||
content="Last question, do you know how to maintain extensive social relationships?"),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [node.content for node in worker.memory_manager.get_memories(NEW_OBS_NODES)]
|
||||
|
|
@ -226,7 +226,7 @@ class TestWorkersEn(unittest.TestCase):
|
|||
Message(role=MessageRoleEnum.USER.value, content="Tomorrow is my birthday."),
|
||||
]
|
||||
|
||||
worker.set_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.set_workflow_context(CHAT_MESSAGES, chat_messages)
|
||||
worker.run()
|
||||
|
||||
result = [node.content for node in worker.memory_manager.get_memories(NEW_OBS_WITH_TIME_NODES)]
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue