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Harrison/arxiv tool (#3186)

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Co-authored-by: leo-gan <leo.gan.57@gmail.com>
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156
docs/modules/agents/tools/examples/arxiv.ipynb Normal file
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@ -0,0 +1,156 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "245a954a",
"metadata": {},
"source": [
"# Arxiv API\n",
"\n",
"This notebook goes over how to use the `arxiv` component. \n",
"\n",
"First, you need to install `arxiv` python package."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d5a7209e",
"metadata": {
"tags": [],
"vscode": {
"languageId": "shellscript"
}
},
"outputs": [],
"source": [
"!pip install arxiv"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "8d32b39a",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.utilities import ArxivAPIWrapper"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "2a50dd27",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"arxiv = ArxivAPIWrapper()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "34bb5968",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'Published: 2016-05-26\\nTitle: Heat-bath random walks with Markov bases\\nAuthors: Caprice Stanley, Tobias Windisch\\nSummary: Graphs on lattice points are studied whose edges come from a finite set of\\nallowed moves of arbitrary length. We show that the diameter of these graphs on\\nfibers of a fixed integer matrix can be bounded from above by a constant. We\\nthen study the mixing behaviour of heat-bath random walks on these graphs. We\\nalso state explicit conditions on the set of moves so that the heat-bath random\\nwalk, a generalization of the Glauber dynamics, is an expander in fixed\\ndimension.'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"docs = arxiv.run(\"1605.08386\")\n",
"docs"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b0867fda-e119-4b19-9ec6-e354fa821db3",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'Published: 2017-10-10\\nTitle: On Mixing Behavior of a Family of Random Walks Determined by a Linear Recurrence\\nAuthors: Caprice Stanley, Seth Sullivant\\nSummary: We study random walks on the integers mod $G_n$ that are determined by an\\ninteger sequence $\\\\{ G_n \\\\}_{n \\\\geq 1}$ generated by a linear recurrence\\nrelation. Fourier analysis provides explicit formulas to compute the\\neigenvalues of the transition matrices and we use this to bound the mixing time\\nof the random walks.\\n\\nPublished: 2016-05-26\\nTitle: Heat-bath random walks with Markov bases\\nAuthors: Caprice Stanley, Tobias Windisch\\nSummary: Graphs on lattice points are studied whose edges come from a finite set of\\nallowed moves of arbitrary length. We show that the diameter of these graphs on\\nfibers of a fixed integer matrix can be bounded from above by a constant. We\\nthen study the mixing behaviour of heat-bath random walks on these graphs. We\\nalso state explicit conditions on the set of moves so that the heat-bath random\\nwalk, a generalization of the Glauber dynamics, is an expander in fixed\\ndimension.\\n\\nPublished: 2003-03-18\\nTitle: Calculation of fluxes of charged particles and neutrinos from atmospheric showers\\nAuthors: V. Plyaskin\\nSummary: The results on the fluxes of charged particles and neutrinos from a\\n3-dimensional (3D) simulation of atmospheric showers are presented. An\\nagreement of calculated fluxes with data on charged particles from the AMS and\\nCAPRICE detectors is demonstrated. Predictions on neutrino fluxes at different\\nexperimental sites are compared with results from other calculations.'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"docs = arxiv.run(\"Caprice Stanley\")\n",
"docs"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "3580aeeb-086f-45ba-bcdc-b46f5134b3dd",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'No good Arxiv Result was found'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"docs = arxiv.run(\"1605.08386WWW\")\n",
"docs"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4f4e9602",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

2
langchain/__init__.py
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@ -47,6 +47,7 @@ from langchain.prompts import (
PromptTemplate, PromptTemplate,
) )
from langchain.sql_database import SQLDatabase from langchain.sql_database import SQLDatabase
from langchain.utilities import ArxivAPIWrapper
from langchain.utilities.google_search import GoogleSearchAPIWrapper from langchain.utilities.google_search import GoogleSearchAPIWrapper
from langchain.utilities.google_serper import GoogleSerperAPIWrapper from langchain.utilities.google_serper import GoogleSerperAPIWrapper
from langchain.utilities.searx_search import SearxSearchWrapper from langchain.utilities.searx_search import SearxSearchWrapper
@ -74,6 +75,7 @@ __all__ = [
"LLMBashChain", "LLMBashChain",
"LLMCheckerChain", "LLMCheckerChain",
"LLMMathChain", "LLMMathChain",
"ArxivAPIWrapper",
"SelfAskWithSearchChain", "SelfAskWithSearchChain",
"SerpAPIWrapper", "SerpAPIWrapper",
"SerpAPIChain", "SerpAPIChain",

6
langchain/agents/load_tools.py
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@ -11,6 +11,7 @@ from langchain.chains.llm_math.base import LLMMathChain
from langchain.chains.pal.base import PALChain from langchain.chains.pal.base import PALChain
from langchain.llms.base import BaseLLM from langchain.llms.base import BaseLLM
from langchain.requests import TextRequestsWrapper from langchain.requests import TextRequestsWrapper
from langchain.tools.arxiv.tool import ArxivQueryRun
from langchain.tools.base import BaseTool from langchain.tools.base import BaseTool
from langchain.tools.bing_search.tool import BingSearchRun from langchain.tools.bing_search.tool import BingSearchRun
from langchain.tools.google_search.tool import GoogleSearchResults, GoogleSearchRun from langchain.tools.google_search.tool import GoogleSearchResults, GoogleSearchRun
@ -26,6 +27,7 @@ from langchain.tools.requests.tool import (
from langchain.tools.searx_search.tool import SearxSearchResults, SearxSearchRun from langchain.tools.searx_search.tool import SearxSearchResults, SearxSearchRun
from langchain.tools.wikipedia.tool import WikipediaQueryRun from langchain.tools.wikipedia.tool import WikipediaQueryRun
from langchain.tools.wolfram_alpha.tool import WolframAlphaQueryRun from langchain.tools.wolfram_alpha.tool import WolframAlphaQueryRun
from langchain.utilities import ArxivAPIWrapper
from langchain.utilities.apify import ApifyWrapper from langchain.utilities.apify import ApifyWrapper
from langchain.utilities.bash import BashProcess from langchain.utilities.bash import BashProcess
from langchain.utilities.bing_search import BingSearchAPIWrapper from langchain.utilities.bing_search import BingSearchAPIWrapper
@ -175,6 +177,10 @@ def _get_wikipedia(**kwargs: Any) -> BaseTool:
return WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper(**kwargs)) return WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper(**kwargs))
def _get_arxiv(**kwargs: Any) -> BaseTool:
return ArxivQueryRun(api_wrapper=ArxivAPIWrapper(**kwargs))
def _get_google_serper(**kwargs: Any) -> BaseTool: def _get_google_serper(**kwargs: Any) -> BaseTool:
return Tool( return Tool(
name="Serper Search", name="Serper Search",

1
langchain/tools/arxiv/__init__.py Normal file
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@ -0,0 +1 @@
"""Arxiv API toolkit."""

24
langchain/tools/arxiv/tool.py Normal file
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@ -0,0 +1,24 @@
"""Tool for the Wikipedia API."""
from langchain.tools.base import BaseTool
from langchain.utilities.arxiv import ArxivAPIWrapper
class ArxivQueryRun(BaseTool):
"""Tool that adds the capability to search using the Arxiv API."""
name = "Arxiv"
description = (
"A wrapper around Arxiv. "
"Useful for getting summary of articles from arxiv.org. "
"Input should be a search query."
)
api_wrapper: ArxivAPIWrapper
def _run(self, query: str) -> str:
"""Use the Arxiv tool."""
return self.api_wrapper.run(query)
async def _arun(self, query: str) -> str:
"""Use the Arxiv tool asynchronously."""
raise NotImplementedError("ArxivAPIWrapper does not support async")

2
langchain/utilities/__init__.py
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@ -1,6 +1,7 @@
"""General utilities.""" """General utilities."""
from langchain.requests import TextRequestsWrapper from langchain.requests import TextRequestsWrapper
from langchain.utilities.apify import ApifyWrapper from langchain.utilities.apify import ApifyWrapper
from langchain.utilities.arxiv import ArxivAPIWrapper
from langchain.utilities.bash import BashProcess from langchain.utilities.bash import BashProcess
from langchain.utilities.bing_search import BingSearchAPIWrapper from langchain.utilities.bing_search import BingSearchAPIWrapper
from langchain.utilities.google_search import GoogleSearchAPIWrapper from langchain.utilities.google_search import GoogleSearchAPIWrapper
@ -14,6 +15,7 @@ from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper
__all__ = [ __all__ = [
"ApifyWrapper", "ApifyWrapper",
"ArxivAPIWrapper",
"BashProcess", "BashProcess",
"TextRequestsWrapper", "TextRequestsWrapper",
"GoogleSearchAPIWrapper", "GoogleSearchAPIWrapper",

64
langchain/utilities/arxiv.py Normal file
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@ -0,0 +1,64 @@
"""Util that calls Arxiv."""
from typing import Any, Dict
from pydantic import BaseModel, Extra, root_validator
class ArxivAPIWrapper(BaseModel):
"""Wrapper around ArxivAPI.
To use, you should have the ``arxiv`` python package installed.
https://lukasschwab.me/arxiv.py/index.html
This wrapper will use the Arxiv API to conduct searches and
fetch document summaries. By default, it will return the document summaries
of the top-k results of an input search.
"""
arxiv_client: Any #: :meta private:
arxiv_exceptions: Any # :meta private:
top_k_results: int = 3
ARXIV_MAX_QUERY_LENGTH = 300
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that the python package exists in environment."""
try:
import arxiv
values["arxiv_search"] = arxiv.Search
values["arxiv_exceptions"] = (
arxiv.ArxivError,
arxiv.UnexpectedEmptyPageError,
arxiv.HTTPError,
)
except ImportError:
raise ValueError(
"Could not import arxiv python package. "
"Please install it with `pip install arxiv`."
)
return values
def run(self, query: str) -> str:
"""
Run Arxiv search and get the document meta information.
See https://lukasschwab.me/arxiv.py/index.html#Search
See https://lukasschwab.me/arxiv.py/index.html#Result
It uses only the most informative fields of document meta information.
"""
try:
docs = [
f"Published: {result.updated.date()}\nTitle: {result.title}\n"
f"Authors: {', '.join(a.name for a in result.authors)}\n"
f"Summary: {result.summary}"
for result in self.arxiv_search( # type: ignore
query[: self.ARXIV_MAX_QUERY_LENGTH], max_results=self.top_k_results
).results()
]
return "\n\n".join(docs) if docs else "No good Arxiv Result was found"
except self.arxiv_exceptions as ex:
return f"Arxiv exception: {ex}"

405
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 1.4.1 and should not be changed by hand.
[[package]] [[package]]
name = "absl-py" name = "absl-py"
@ -414,6 +414,21 @@ files = [
[package.dependencies] [package.dependencies]
python-dateutil = ">=2.7.0" python-dateutil = ">=2.7.0"
[[package]]
name = "arxiv"
version = "1.4.7"
description = "Python wrapper for the arXiv API: http://arxiv.org/help/api/"
category = "main"
optional = true
python-versions = ">=3.7"
files = [
{file = "arxiv-1.4.7-py3-none-any.whl", hash = "sha256:22b8f610957bb6859a25fac9dc205ab6ba76d521791119a5762ea52625e398a0"},
{file = "arxiv-1.4.7.tar.gz", hash = "sha256:100c8d6b9cd04c7f55f11b34616beb7a1623ab0564b66161b4aeeeb8912c5806"},
]
[package.dependencies]
feedparser = "*"
[[package]] [[package]]
name = "asgiref" name = "asgiref"
version = "3.6.0" version = "3.6.0"
@ -498,22 +513,22 @@ kerberos = ["requests-kerberos"]
[[package]] [[package]]
name = "attrs" name = "attrs"
version = "22.2.0" version = "23.1.0"
description = "Classes Without Boilerplate" description = "Classes Without Boilerplate"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.6" python-versions = ">=3.7"
files = [ files = [
{file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"}, {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
{file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"}, {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
] ]
[package.extras] [package.extras]
cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"] cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
dev = ["attrs[docs,tests]"] dev = ["attrs[docs,tests]", "pre-commit"]
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"] docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
tests = ["attrs[tests-no-zope]", "zope.interface"] tests = ["attrs[tests-no-zope]", "zope-interface"]
tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"] tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
[[package]] [[package]]
name = "authlib" name = "authlib"
@ -1769,21 +1784,36 @@ files = [
[package.extras] [package.extras]
devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
[[package]]
name = "feedparser"
version = "6.0.10"
description = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
category = "main"
optional = true
python-versions = ">=3.6"
files = [
{file = "feedparser-6.0.10-py3-none-any.whl", hash = "sha256:79c257d526d13b944e965f6095700587f27388e50ea16fd245babe4dfae7024f"},
{file = "feedparser-6.0.10.tar.gz", hash = "sha256:27da485f4637ce7163cdeab13a80312b93b7d0c1b775bef4a47629a3110bca51"},
]
[package.dependencies]
sgmllib3k = "*"
[[package]] [[package]]
name = "filelock" name = "filelock"
version = "3.11.0" version = "3.12.0"
description = "A platform independent file lock." description = "A platform independent file lock."
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "filelock-3.11.0-py3-none-any.whl", hash = "sha256:f08a52314748335c6460fc8fe40cd5638b85001225db78c2aa01c8c0db83b318"}, {file = "filelock-3.12.0-py3-none-any.whl", hash = "sha256:ad98852315c2ab702aeb628412cbf7e95b7ce8c3bf9565670b4eaecf1db370a9"},
{file = "filelock-3.11.0.tar.gz", hash = "sha256:3618c0da67adcc0506b015fd11ef7faf1b493f0b40d87728e19986b536890c37"}, {file = "filelock-3.12.0.tar.gz", hash = "sha256:fc03ae43288c013d2ea83c8597001b1129db351aad9c57fe2409327916b8e718"},
] ]
[package.extras] [package.extras]
docs = ["furo (>=2023.3.27)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"] docs = ["furo (>=2023.3.27)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.2.2)", "diff-cover (>=7.5)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"] testing = ["covdefaults (>=2.3)", "coverage (>=7.2.3)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
[[package]] [[package]]
name = "flatbuffers" name = "flatbuffers"
@ -2085,14 +2115,14 @@ grpc = ["grpcio (>=1.44.0,<2.0.0dev)"]
[[package]] [[package]]
name = "gptcache" name = "gptcache"
version = "0.1.11" version = "0.1.15"
description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications." description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.8.1" python-versions = ">=3.8.1"
files = [ files = [
{file = "gptcache-0.1.11-py3-none-any.whl", hash = "sha256:114afdfbce429734c11ef50cca7669942a5ab39180b372b187cff5ffb3438c94"}, {file = "gptcache-0.1.15-py3-none-any.whl", hash = "sha256:b4ba6aa19dbe1a55ae449bf96dec6bc79a3d455b4767c4f2ec35b118cd4dbc05"},
{file = "gptcache-0.1.11.tar.gz", hash = "sha256:d4a18a7587e45916fb406c2e949f2d225cdf1f8fecd0f68ee3de2e7a9cfe30c2"}, {file = "gptcache-0.1.15.tar.gz", hash = "sha256:d8f4a143ac902d3272af6fa34958c3f615caad147541c20d8d0cbea74985e27d"},
] ]
[package.dependencies] [package.dependencies]
@ -5264,14 +5294,14 @@ testing = ["pytest", "pytest-benchmark"]
[[package]] [[package]]
name = "posthog" name = "posthog"
version = "2.5.0" version = "3.0.0"
description = "Integrate PostHog into any python application." description = "Integrate PostHog into any python application."
category = "dev" category = "dev"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = [
{file = "posthog-2.5.0-py2.py3-none-any.whl", hash = "sha256:3d3ece06c3fe4135497c239f211c82344962b93e4fd4ba5afd20bd4ad12d77be"}, {file = "posthog-3.0.0-py2.py3-none-any.whl", hash = "sha256:9a94500e0d5867a52e85c02967fd44f88ba949e98a2fb1854fb0d4480d9a5419"},
{file = "posthog-2.5.0.tar.gz", hash = "sha256:7601ef75b483eb67a6229cafec02da9624f6d46df61066771ca9e3f986284fc3"}, {file = "posthog-3.0.0.tar.gz", hash = "sha256:faa5689fe031815416bd8125da2e35920aa59a6911126dcaf4a38f098e7dbff5"},
] ]
[package.dependencies] [package.dependencies]
@ -5438,26 +5468,26 @@ files = [
[[package]] [[package]]
name = "psutil" name = "psutil"
version = "5.9.4" version = "5.9.5"
description = "Cross-platform lib for process and system monitoring in Python." description = "Cross-platform lib for process and system monitoring in Python."
category = "dev" category = "dev"
optional = false optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [ files = [
{file = "psutil-5.9.4-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:c1ca331af862803a42677c120aff8a814a804e09832f166f226bfd22b56feee8"}, {file = "psutil-5.9.5-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:be8929ce4313f9f8146caad4272f6abb8bf99fc6cf59344a3167ecd74f4f203f"},
{file = "psutil-5.9.4-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:68908971daf802203f3d37e78d3f8831b6d1014864d7a85937941bb35f09aefe"}, {file = "psutil-5.9.5-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ab8ed1a1d77c95453db1ae00a3f9c50227ebd955437bcf2a574ba8adbf6a74d5"},
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[package.dependencies] [package.dependencies]
@ -9118,13 +9151,13 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
cffi = ["cffi (>=1.11)"] cffi = ["cffi (>=1.11)"]
[extras] [extras]
all = ["anthropic", "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", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "pyowm"] all = ["aleph-alpha-client", "anthropic", "atlassian-python-api", "beautifulsoup4", "cohere", "deeplake", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-search-results", "gptcache", "html2text", "huggingface_hub", "jina", "jinja2", "manifest-ml", "networkx", "nlpcloud", "nltk", "nomic", "openai", "opensearch-py", "pgvector", "pinecone-client", "pinecone-text", "psycopg2-binary", "pyowm", "pypdf", "pytesseract", "qdrant-client", "redis", "sentence-transformers", "spacy", "tensorflow-text", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
cohere = ["cohere"] cohere = ["cohere"]
llms = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"] llms = ["anthropic", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "torch", "transformers"]
openai = ["openai"] openai = ["openai"]
qdrant = ["qdrant-client"] qdrant = ["qdrant-client"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
content-hash = "f563ddd77272f04b687d9f7e3b97bd39513b38584e271ba5315b85191360cf7a" content-hash = "8476b824f9682ed85d44929519054cc5951a6fe47067e8fc7e43a364f6486477"

1
pyproject.toml
View File

@ -50,6 +50,7 @@ jina = {version = "^3.14", optional = true}
google-search-results = {version = "^2", optional = true} google-search-results = {version = "^2", optional = true}
sentence-transformers = {version = "^2", optional = true} sentence-transformers = {version = "^2", optional = true}
aiohttp = "^3.8.3" aiohttp = "^3.8.3"
arxiv = {version = "^1.4", optional = true}
pypdf = {version = "^3.4.0", optional = true} pypdf = {version = "^3.4.0", optional = true}
networkx = {version="^2.6.3", optional = true} networkx = {version="^2.6.3", optional = true}
aleph-alpha-client = {version="^2.15.0", optional = true} aleph-alpha-client = {version="^2.15.0", optional = true}

30
tests/integration_tests/test_arxiv.py Normal file
View File

@ -0,0 +1,30 @@
"""Integration test for Wikipedia API Wrapper."""
import pytest
from langchain.utilities import ArxivAPIWrapper
@pytest.fixture
def api_client() -> ArxivAPIWrapper:
return ArxivAPIWrapper()
def test_call(api_client: ArxivAPIWrapper) -> None:
"""Test that ArxivAPIWrapper returns correct answer"""
output = api_client.run("1605.08386")
assert "Heat-bath random walks with Markov bases" in output
def test_several_docs(api_client: ArxivAPIWrapper) -> None:
"""Test that ArxivAPIWrapper returns several docs"""
output = api_client.run("Caprice Stanley")
assert "On Mixing Behavior of a Family of Random Walks" in output
def test_no_result_call(api_client: ArxivAPIWrapper) -> None:
"""Test that call gives no result."""
output = api_client.run("1605.08386WWW")
assert "No good Arxiv Result was found" == output