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13140dc4ff
- **Description:** When I was running the SparkLLMTextEmbeddings,
app_id, api_key and api_secret are all correct, but it cannot run
normally using the current URL.
```python
# example
from langchain_community.embeddings import SparkLLMTextEmbeddings
embedding= SparkLLMTextEmbeddings(
spark_app_id="my-app-id",
spark_api_key="my-api-key",
spark_api_secret="my-api-secret"
)
embedding= "hello"
print(spark.embed_query(text1))
```
So I updated the url and request body parameters according to
[Embedding_api](https://www.xfyun.cn/doc/spark/Embedding_api.html), now
it is runnable.
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
import os
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from typing import cast
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import pytest
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from langchain_core.pydantic_v1 import SecretStr, ValidationError
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from langchain_community.embeddings import SparkLLMTextEmbeddings
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def test_sparkllm_initialization_by_alias() -> None:
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# Effective initialization
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embeddings = SparkLLMTextEmbeddings(
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app_id="your-app-id", # type: ignore[arg-type]
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api_key="your-api-key", # type: ignore[arg-type]
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api_secret="your-api-secret", # type: ignore[arg-type]
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)
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assert cast(SecretStr, embeddings.spark_app_id).get_secret_value() == "your-app-id"
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assert (
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cast(SecretStr, embeddings.spark_api_key).get_secret_value() == "your-api-key"
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)
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assert (
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cast(SecretStr, embeddings.spark_api_secret).get_secret_value()
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== "your-api-secret"
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)
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def test_initialization_parameters_from_env() -> None:
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# Setting environment variable
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os.environ["SPARK_APP_ID"] = "your-app-id"
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os.environ["SPARK_API_KEY"] = "your-api-key"
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os.environ["SPARK_API_SECRET"] = "your-api-secret"
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# Effective initialization
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embeddings = SparkLLMTextEmbeddings()
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assert cast(SecretStr, embeddings.spark_app_id).get_secret_value() == "your-app-id"
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assert (
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cast(SecretStr, embeddings.spark_api_key).get_secret_value() == "your-api-key"
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)
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assert (
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cast(SecretStr, embeddings.spark_api_secret).get_secret_value()
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== "your-api-secret"
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)
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# Environment variable missing
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del os.environ["SPARK_APP_ID"]
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with pytest.raises(ValidationError):
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SparkLLMTextEmbeddings()
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