pocketflow/minillmflow/__init__.py

118 lines
4.0 KiB
Python

import asyncio
class BaseNode:
def __init__(self):
self.set_parameters({}) # immutable during processing; could be overwritten as node can be reused
self.successors = {}
def set_parameters(self, parameters):
self.parameters = parameters.copy() if parameters else {}
def add_successor(self, node, condition="default"):
self.successors[condition] = node
return node
async def preprocess(self, shared_storage):
return None
async def process_one(self, shared_storage, item):
return None
async def process(self, shared_storage, preprocess_result):
return await self.process_one(shared_storage, preprocess_result)
async def postprocess(self, shared_storage, preprocess_result, process_result):
return "default"
async def run_one(self, shared_storage):
preprocess_result = await self.preprocess(shared_storage)
process_result = await self.process(shared_storage, preprocess_result)
condition = await self.postprocess(shared_storage, preprocess_result, process_result)
if not self.successors:
return None
elif len(self.successors) == 1:
return next(iter(self.successors.values()))
return self.successors.get(condition)
def run(self, shared_storage=None):
return asyncio.run(self.run_async(shared_storage))
async def run_async(self, shared_storage=None):
shared_storage = shared_storage or {}
current_node = self
while current_node:
current_node = await current_node.run_one(shared_storage)
def __rshift__(self, other):
return self.add_successor(other)
def __gt__(self, other):
if isinstance(other, str):
return _ConditionalTransition(self, other)
elif isinstance(other, BaseNode):
return self.add_successor(other)
raise TypeError("Unsupported operand type")
def __call__(self, condition):
return _ConditionalTransition(self, condition)
class _ConditionalTransition:
def __init__(self, source_node, condition):
self.source_node = source_node
self.condition = condition
def __gt__(self, target_node):
if not isinstance(target_node, BaseNode):
raise TypeError("Target must be a BaseNode")
return self.source_node.add_successor(target_node, self.condition)
class BaseSuperNode(BaseNode):
def __init__(self, start_node=None):
super().__init__()
self.start_node = start_node
async def process_one(self, shared_storage, item):
if self.start_node:
current_node = self.start_node
while current_node:
current_node.set_parameters(self.parameters)
current_node = await current_node.run_one(shared_storage or {})
class BatchMixin:
async def process(self, shared_storage, items):
partial_results = []
for item in items:
r = await self.process_one(shared_storage, item)
partial_results.append(r)
return self.merge(shared_storage, partial_results)
def merge(self, shared_storage, partial_results):
return partial_results
async def preprocess(self, shared_storage):
return []
class BatchBaseNode(BatchMixin, BaseNode):
async def preprocess(self, shared_storage):
return []
async def process_one(self, shared_storage, item):
return None
class BatchSuperNode(BatchMixin, BaseSuperNode):
async def preprocess(self, shared_storage):
return []
async def process_one(self, shared_storage, param_dict):
node_parameters = self.parameters.copy()
node_parameters.update(param_dict)
if self.start_node:
current_node = self.start_node
while current_node:
current_node.set_parameters(node_parameters)
current_node = await current_node.run_one(shared_storage or {})