Spaces:
Runtime error
Runtime error
File size: 2,912 Bytes
129cd69 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 |
import warnings
from typing import Any, Dict, List, Set
from langchain_core.memory import BaseMemory
from langchain_core.pydantic_v1 import validator
from langchain.memory.chat_memory import BaseChatMemory
class CombinedMemory(BaseMemory):
"""Combining multiple memories' data together."""
memories: List[BaseMemory]
"""For tracking all the memories that should be accessed."""
@validator("memories")
def check_repeated_memory_variable(
cls, value: List[BaseMemory]
) -> List[BaseMemory]:
all_variables: Set[str] = set()
for val in value:
overlap = all_variables.intersection(val.memory_variables)
if overlap:
raise ValueError(
f"The same variables {overlap} are found in multiple"
"memory object, which is not allowed by CombinedMemory."
)
all_variables |= set(val.memory_variables)
return value
@validator("memories")
def check_input_key(cls, value: List[BaseMemory]) -> List[BaseMemory]:
"""Check that if memories are of type BaseChatMemory that input keys exist."""
for val in value:
if isinstance(val, BaseChatMemory):
if val.input_key is None:
warnings.warn(
"When using CombinedMemory, "
"input keys should be so the input is known. "
f" Was not set on {val}"
)
return value
@property
def memory_variables(self) -> List[str]:
"""All the memory variables that this instance provides."""
"""Collected from the all the linked memories."""
memory_variables = []
for memory in self.memories:
memory_variables.extend(memory.memory_variables)
return memory_variables
def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, str]:
"""Load all vars from sub-memories."""
memory_data: Dict[str, Any] = {}
# Collect vars from all sub-memories
for memory in self.memories:
data = memory.load_memory_variables(inputs)
for key, value in data.items():
if key in memory_data:
raise ValueError(
f"The variable {key} is repeated in the CombinedMemory."
)
memory_data[key] = value
return memory_data
def save_context(self, inputs: Dict[str, Any], outputs: Dict[str, str]) -> None:
"""Save context from this session for every memory."""
# Save context for all sub-memories
for memory in self.memories:
memory.save_context(inputs, outputs)
def clear(self) -> None:
"""Clear context from this session for every memory."""
for memory in self.memories:
memory.clear()
|