mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
import unittest
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from langchain_community.document_loaders.fauna import FaunaLoader
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try:
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import fauna # noqa: F401
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fauna_installed = True
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except ImportError:
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fauna_installed = False
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@unittest.skipIf(not fauna_installed, "fauna not installed")
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class TestFaunaLoader(unittest.TestCase):
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def setUp(self) -> None:
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self.fauna_secret = "<enter-valid-fauna-secret>"
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self.valid_fql_query = "Item.all()"
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self.valid_page_content_field = "text"
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self.valid_metadata_fields = ["valid_metadata_fields"]
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def test_fauna_loader(self) -> None:
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"""Test Fauna loader."""
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loader = FaunaLoader(
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query=self.valid_fql_query,
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page_content_field=self.valid_page_content_field,
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secret=self.fauna_secret,
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metadata_fields=self.valid_metadata_fields,
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)
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docs = loader.load()
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assert len(docs) > 0 # assuming the query returns at least one document
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for doc in docs:
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assert (
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doc.page_content != ""
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) # assuming that every document has page_content
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assert (
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"id" in doc.metadata and doc.metadata["id"] != ""
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) # assuming that every document has 'id'
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assert (
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"ts" in doc.metadata and doc.metadata["ts"] != ""
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) # assuming that every document has 'ts'
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