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Update to the latest Psychic python library version (#6804)

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Update the Psychic document loader to use the latest `psychicapi` python
library version: `0.8.0`
pull/6857/head
Ayan Bandyopadhyay 1 year ago committed by GitHub
parent f3d178f600
commit f92ccf70fd
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 53 additions and 23 deletions
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16
langchain/document_loaders/psychic.py
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@ -1,5 +1,5 @@
"""Loader that loads documents from Psychic.dev."""
from typing import List
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
@ -8,8 +8,10 @@ from langchain.document_loaders.base import BaseLoader
class PsychicLoader(BaseLoader):
"""Loader that loads documents from Psychic.dev."""
def __init__(self, api_key: str, connector_id: str, connection_id: str):
"""Initialize with API key, connector id, and connection id."""
def __init__(
self, api_key: str, account_id: str, connector_id: Optional[str] = None
):
"""Initialize with API key, connector id, and account id."""
try:
from psychicapi import ConnectorId, Psychic # noqa: F401
@ -19,16 +21,18 @@ class PsychicLoader(BaseLoader):
)
self.psychic = Psychic(secret_key=api_key)
self.connector_id = ConnectorId(connector_id)
self.connection_id = connection_id
self.account_id = account_id
def load(self) -> List[Document]:
"""Load documents."""
psychic_docs = self.psychic.get_documents(self.connector_id, self.connection_id)
psychic_docs = self.psychic.get_documents(
connector_id=self.connector_id, account_id=self.account_id
)
return [
Document(
page_content=doc["content"],
metadata={"title": doc["title"], "source": doc["uri"]},
)
for doc in psychic_docs
for doc in psychic_docs.documents
]

46
poetry.lock generated
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@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry and should not be changed by hand.
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
[[package]]
name = "absl-py"
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@ -1211,7 +1221,17 @@ files = [
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{file = "Brotli-1.0.9.zip", hash = "sha256:4d1b810aa0ed773f81dceda2cc7b403d01057458730e309856356d4ef4188438"},
]
@ -4250,6 +4270,7 @@ optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
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{file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
]
[[package]]
@ -4703,7 +4724,6 @@ files = [
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@ -4714,6 +4734,7 @@ files = [
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@ -4723,6 +4744,7 @@ files = [
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@ -7387,14 +7409,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
[[package]]
name = "psychicapi"
version = "0.5"
description = "Psychic.dev is an open-source universal data connector for knowledgebases."
version = "0.8.0"
description = "Psychic.dev is an open-source data integration platform for LLMs. This is the Python client for Psychic"
category = "main"
optional = true
python-versions = "*"
files = [
{file = "psychicapi-0.5-py3-none-any.whl", hash = "sha256:30637abbecd6c9ebafbceb7c1230987f7ef3af2ca7054f3322ae80f9cbf46039"},
{file = "psychicapi-0.5.tar.gz", hash = "sha256:a2106ef8e3a286f85aa2c26c6d1a778e15009391b3b5e2dd864447c8e7f85942"},
{file = "psychicapi-0.8.0-py2-none-any.whl", hash = "sha256:4f8e776eb9bc7e3f9243021cff1d840f60aa7923bb2a941d0a37dfc5936b5fa3"},
{file = "psychicapi-0.8.0.tar.gz", hash = "sha256:6af053734c848f0c9865f430794c9a8a48b5f9f72663247b11647829d1dbc27f"},
]
[package.dependencies]
@ -11008,7 +11030,7 @@ files = [
]
[package.dependencies]
accelerate = {version = ">=0.20.2", optional = true, markers = "extra == \"accelerate\""}
accelerate = {version = ">=0.20.2", optional = true, markers = "extra == \"accelerate\" or extra == \"torch\""}
filelock = "*"
huggingface-hub = ">=0.14.1,<1.0"
numpy = ">=1.17"
@ -12253,15 +12275,15 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
cffi = ["cffi (>=1.11)"]
[extras]
all = ["anthropic", "clarifai", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "pymongo", "weaviate-client", "redis", "google-api-python-client", "google-auth", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos", "lancedb", "langkit", "lark", "pexpect", "pyvespa", "O365", "jq", "docarray", "steamship", "pdfminer-six", "lxml", "requests-toolbelt", "neo4j", "openlm", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "momento", "singlestoredb", "tigrisdb", "nebula3-python", "awadb", "esprima"]
azure = ["azure-identity", "azure-cosmos", "openai", "azure-core", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-search-documents"]
all = ["O365", "aleph-alpha-client", "anthropic", "arxiv", "atlassian-python-api", "awadb", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-cosmos", "azure-identity", "beautifulsoup4", "clarifai", "clickhouse-connect", "cohere", "deeplake", "docarray", "duckduckgo-search", "elasticsearch", "esprima", "faiss-cpu", "google-api-python-client", "google-auth", "google-search-results", "gptcache", "html2text", "huggingface_hub", "jina", "jinja2", "jq", "lancedb", "langkit", "lark", "lxml", "manifest-ml", "momento", "nebula3-python", "neo4j", "networkx", "nlpcloud", "nltk", "nomic", "openai", "openlm", "opensearch-py", "pdfminer-six", "pexpect", "pgvector", "pinecone-client", "pinecone-text", "psycopg2-binary", "pymongo", "pyowm", "pypdf", "pytesseract", "pyvespa", "qdrant-client", "redis", "requests-toolbelt", "sentence-transformers", "singlestoredb", "spacy", "steamship", "tensorflow-text", "tigrisdb", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
azure = ["azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-core", "azure-cosmos", "azure-identity", "azure-search-documents", "openai"]
clarifai = ["clarifai"]
cohere = ["cohere"]
docarray = ["docarray"]
embeddings = ["sentence-transformers"]
extended-testing = ["beautifulsoup4", "bibtexparser", "chardet", "esprima", "jq", "pdfminer-six", "pgvector", "pypdf", "pymupdf", "pypdfium2", "tqdm", "lxml", "atlassian-python-api", "beautifulsoup4", "pandas", "telethon", "psychicapi", "zep-python", "gql", "requests-toolbelt", "html2text", "py-trello", "scikit-learn", "streamlit", "pyspark", "openai"]
extended-testing = ["atlassian-python-api", "beautifulsoup4", "beautifulsoup4", "bibtexparser", "chardet", "esprima", "gql", "html2text", "jq", "lxml", "openai", "pandas", "pdfminer-six", "pgvector", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "requests-toolbelt", "scikit-learn", "streamlit", "telethon", "tqdm", "zep-python"]
javascript = ["esprima"]
llms = ["anthropic", "clarifai", "cohere", "openai", "openllm", "openlm", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
llms = ["anthropic", "clarifai", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "openllm", "openlm", "torch", "transformers"]
openai = ["openai", "tiktoken"]
qdrant = ["qdrant-client"]
text-helpers = ["chardet"]
@ -12269,4 +12291,4 @@ text-helpers = ["chardet"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "1049c1cdd7ba4560a5879662251a38a38dc438c764332d272148cc69689c99eb"
content-hash = "57b4476162421fde16357804a4436cf01af1c0d22d799251ec4320a4216fd566"

2
pyproject.toml
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@ -88,7 +88,6 @@ gql = {version = "^3.4.1", optional = true}
pandas = {version = "^2.0.1", optional = true}
telethon = {version = "^1.28.5", optional = true}
neo4j = {version = "^5.8.1", optional = true}
psychicapi = {version = "^0.5", optional = true}
zep-python = {version=">=0.31", optional=true}
langkit = {version = ">=0.0.1.dev3, <0.1.0", optional = true}
chardet = {version="^5.1.0", optional=true}
@ -112,6 +111,7 @@ azure-search-documents = {version = "11.4.0a20230509004", source = "azure-sdk-de
esprima = {version = "^4.0.1", optional = true}
openllm = {version = ">=0.1.6", optional = true}
streamlit = {version = "^1.18.0", optional = true, python = ">=3.8.1,<3.9.7 || >3.9.7,<4.0"}
psychicapi = {version = "^0.8.0", optional = true}
[tool.poetry.group.docs.dependencies]
autodoc_pydantic = "^1.8.0"

12
tests/unit_tests/document_loaders/test_psychic.py
Unescape Escape View File

@ -23,7 +23,7 @@ def mock_connector_id(): # type: ignore
class TestPsychicLoader:
MOCK_API_KEY = "api_key"
MOCK_CONNECTOR_ID = "notion"
MOCK_CONNECTION_ID = "connection_id"
MOCK_ACCOUNT_ID = "account_id"
def test_psychic_loader_initialization(
self, mock_psychic: MagicMock, mock_connector_id: MagicMock
@ -31,17 +31,21 @@ class TestPsychicLoader:
PsychicLoader(
api_key=self.MOCK_API_KEY,
connector_id=self.MOCK_CONNECTOR_ID,
connection_id=self.MOCK_CONNECTION_ID,
account_id=self.MOCK_ACCOUNT_ID,
)
mock_psychic.assert_called_once_with(secret_key=self.MOCK_API_KEY)
mock_connector_id.assert_called_once_with(self.MOCK_CONNECTOR_ID)
def test_psychic_loader_load_data(self, mock_psychic: MagicMock) -> None:
mock_psychic.get_documents.return_value = [
mock_get_documents_response = MagicMock()
mock_get_documents_response.documents = [
self._get_mock_document("123"),
self._get_mock_document("456"),
]
mock_get_documents_response.next_page_cursor = None
mock_psychic.get_documents.return_value = mock_get_documents_response
psychic_loader = self._get_mock_psychic_loader(mock_psychic)
@ -57,7 +61,7 @@ class TestPsychicLoader:
psychic_loader = PsychicLoader(
api_key=self.MOCK_API_KEY,
connector_id=self.MOCK_CONNECTOR_ID,
connection_id=self.MOCK_CONNECTION_ID,
account_id=self.MOCK_ACCOUNT_ID,
)
psychic_loader.psychic = mock_psychic
return psychic_loader

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