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Fix inconsistent logging_and_data_dir parameter in AwaDB (#6775)

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## Description

Tag maintainer: @rlancemartin, @eyurtsev 

### log_and_data_dir
`AwaDB.__init__()` accepts a parameter named `log_and_data_dir`. But
`AwaDB.from_texts()` and `AwaDB.from_documents()` accept a parameter
named `logging_and_data_dir`. This inconsistency in this parameter name
can lead to confusion on the part of the caller.

This PR renames `logging_and_data_dir` to `log_and_data_dir` to make all
functions consistent with the constructor.

### embedding

`AwaDB.__init__()` accepts a parameter named `embedding_model`. But
`AwaDB.from_texts()` and `AwaDB.from_documents()` accept a parameter
named `embeddings`. This inconsistency in this parameter name can lead
to confusion on the part of the caller.

This PR renames `embedding_model` to `embeddings` to make AwaDB's
constructor consistent with the classmethod "constructors" as specified
by `VectorStore` abstract base class.
This commit is contained in:
Mike Salvatore 2023-06-29 02:06:52 -04:00 committed by GitHub
parent 3ac08c3de4
commit cbd759aaeb
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 11 additions and 11 deletions
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22
langchain/vectorstores/awadb.py
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@ -27,7 +27,7 @@ class AwaDB(VectorStore):
def __init__(
self,
table_name: str = _DEFAULT_TABLE_NAME,
embedding_model: Optional[Embeddings] = None,
embedding: Optional[Embeddings] = None,
log_and_data_dir: Optional[str] = None,
client: Optional[awadb.Client] = None,
) -> None:
@ -55,8 +55,8 @@ class AwaDB(VectorStore):
self.awadb_client.Create(table_name)
self.table2embeddings: dict[str, Embeddings] = {}
if embedding_model is not None:
self.table2embeddings[table_name] = embedding_model
if embedding is not None:
self.table2embeddings[table_name] = embedding
self.using_table_name = table_name
def add_texts(
@ -319,7 +319,7 @@ class AwaDB(VectorStore):
embedding: Optional[Embeddings] = None,
metadatas: Optional[List[dict]] = None,
table_name: str = _DEFAULT_TABLE_NAME,
logging_and_data_dir: Optional[str] = None,
log_and_data_dir: Optional[str] = None,
client: Optional[awadb.Client] = None,
**kwargs: Any,
) -> AwaDB:
@ -330,7 +330,7 @@ class AwaDB(VectorStore):
embedding (Optional[Embeddings]): Embedding function. Defaults to None.
metadatas (Optional[List[dict]]): List of metadatas. Defaults to None.
table_name (str): Name of the table to create.
logging_and_data_dir (Optional[str]): Directory of logging and persistence.
log_and_data_dir (Optional[str]): Directory of logging and persistence.
client (Optional[awadb.Client]): AwaDB client
Returns:
@ -338,8 +338,8 @@ class AwaDB(VectorStore):
"""
awadb_client = cls(
table_name=table_name,
embedding_model=embedding,
log_and_data_dir=logging_and_data_dir,
embedding=embedding,
log_and_data_dir=log_and_data_dir,
client=client,
)
awadb_client.add_texts(texts=texts, metadatas=metadatas)
@ -351,19 +351,19 @@ class AwaDB(VectorStore):
documents: List[Document],
embedding: Optional[Embeddings] = None,
table_name: str = _DEFAULT_TABLE_NAME,
logging_and_data_dir: Optional[str] = None,
log_and_data_dir: Optional[str] = None,
client: Optional[awadb.Client] = None,
**kwargs: Any,
) -> AwaDB:
"""Create an AwaDB vectorstore from a list of documents.
If a logging_and_data_dir specified, the table will be persisted there.
If a log_and_data_dir specified, the table will be persisted there.
Args:
documents (List[Document]): List of documents to add to the vectorstore.
embedding (Optional[Embeddings]): Embedding function. Defaults to None.
table_name (str): Name of the table to create.
logging_and_data_dir (Optional[str]): Directory to persist the table.
log_and_data_dir (Optional[str]): Directory to persist the table.
client (Optional[awadb.Client]): AwaDB client
Returns:
@ -376,6 +376,6 @@ class AwaDB(VectorStore):
embedding=embedding,
metadatas=metadatas,
table_name=table_name,
logging_and_data_dir=logging_and_data_dir,
log_and_data_dir=log_and_data_dir,
client=client,
)