mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-06 13:33:37 +00:00
Fixing the Issue with DashScopeEmbeddings Handling More than 25 Rows of Data (#14662)
<!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> This change addresses the issue where DashScopeEmbeddingAPI limits requests to 25 lines of data, and DashScopeEmbeddings did not handle cases with more than 25 lines, leading to errors. I have implemented a fix to manage data exceeding this limit efficiently. --------- Co-authored-by: xuxiang <xuxiang@aliyun.com>
This commit is contained in:
@@ -45,20 +45,27 @@ def embed_with_retry(embeddings: DashScopeEmbeddings, **kwargs: Any) -> Any:
|
||||
|
||||
@retry_decorator
|
||||
def _embed_with_retry(**kwargs: Any) -> Any:
|
||||
resp = embeddings.client.call(**kwargs)
|
||||
if resp.status_code == 200:
|
||||
return resp.output["embeddings"]
|
||||
elif resp.status_code in [400, 401]:
|
||||
raise ValueError(
|
||||
f"status_code: {resp.status_code} \n "
|
||||
f"code: {resp.code} \n message: {resp.message}"
|
||||
)
|
||||
else:
|
||||
raise HTTPError(
|
||||
f"HTTP error occurred: status_code: {resp.status_code} \n "
|
||||
f"code: {resp.code} \n message: {resp.message}",
|
||||
response=resp,
|
||||
)
|
||||
result = []
|
||||
i = 0
|
||||
input_data = kwargs["input"]
|
||||
while i < len(input_data):
|
||||
kwargs["input"] = input_data[i : i + 25]
|
||||
resp = embeddings.client.call(**kwargs)
|
||||
if resp.status_code == 200:
|
||||
result += resp.output["embeddings"]
|
||||
elif resp.status_code in [400, 401]:
|
||||
raise ValueError(
|
||||
f"status_code: {resp.status_code} \n "
|
||||
f"code: {resp.code} \n message: {resp.message}"
|
||||
)
|
||||
else:
|
||||
raise HTTPError(
|
||||
f"HTTP error occurred: status_code: {resp.status_code} \n "
|
||||
f"code: {resp.code} \n message: {resp.message}",
|
||||
response=resp,
|
||||
)
|
||||
i += 25
|
||||
return result
|
||||
|
||||
return _embed_with_retry(**kwargs)
|
||||
|
||||
|
Reference in New Issue
Block a user