id stringlengths 14 15 | text stringlengths 35 2.51k | source stringlengths 61 154 |
|---|---|---|
1e456a6bbf90-3 | ]
return tables if tables else None
if isinstance(table_names, str) and table_names != "":
if table_names not in self.table_names:
_LOGGER.warning("Table %s not found in dataset.", table_names)
return None
return [fix_ta... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/powerbi.html |
1e456a6bbf90-4 | if tables_requested is None:
return "No (valid) tables requested."
tables_todo = self._get_tables_todo(tables_requested)
await asyncio.gather(*[self._aget_schema(table) for table in tables_todo])
return self._get_schema_for_tables(tables_requested)
def _get_schema(self, table: st... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/powerbi.html |
1e456a6bbf90-5 | self.schemas[table] = "unknown"
def _create_json_content(self, command: str) -> dict[str, Any]:
"""Create the json content for the request."""
return {
"queries": [{"query": rf"{command}"}],
"impersonatedUserName": self.impersonated_user_name,
"serializerSettings"... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/powerbi.html |
1e456a6bbf90-6 | json_contents: List[Dict[str, Union[str, int, float]]],
table_name: Optional[str] = None,
) -> str:
"""Converts a JSON object to a markdown table."""
output_md = ""
headers = json_contents[0].keys()
for header in headers:
header.replace("[", ".").replace("]", "")
if table_name:
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/powerbi.html |
ed73fd7a92c4-0 | Source code for langchain.utilities.awslambda
"""Util that calls Lambda."""
import json
from typing import Any, Dict, Optional
from pydantic import BaseModel, Extra, root_validator
[docs]class LambdaWrapper(BaseModel):
"""Wrapper for AWS Lambda SDK.
Docs for using:
1. pip install boto3
2. Create a lambd... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/awslambda.html |
ed73fd7a92c4-1 | answer = json.loads(payload_string)["body"]
except StopIteration:
return "Failed to parse response from Lambda"
if answer is None or answer == "":
# We don't want to return the assumption alone if answer is empty
return "Request failed."
else:
retu... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/awslambda.html |
cab2a3762851-0 | Source code for langchain.utilities.pupmed
import json
import logging
import time
import urllib.error
import urllib.request
from typing import List
from pydantic import BaseModel, Extra
from langchain.schema import Document
logger = logging.getLogger(__name__)
[docs]class PubMedAPIWrapper(BaseModel):
"""
Wrappe... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/pupmed.html |
cab2a3762851-1 | """Configuration for this pydantic object."""
extra = Extra.forbid
[docs] def run(self, query: str) -> str:
"""
Run PubMed search and get the article meta information.
See https://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch
It uses only the most informative fields of... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/pupmed.html |
cab2a3762851-2 | for uid in json_text["esearchresult"]["idlist"]:
article = self.retrieve_article(uid, webenv)
articles.append(article)
# Convert the list of articles to a JSON string
return articles
def _transform_doc(self, doc: dict) -> Document:
summary = doc.pop("summary")
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/pupmed.html |
cab2a3762851-3 | end_tag = "</ArticleTitle>"
title = xml_text[
xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)
]
# Get abstract
abstract = ""
if "<AbstractText>" in xml_text and "</AbstractText>" in xml_text:
start_tag = "<AbstractText>"
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/pupmed.html |
07f20d9bfa4d-0 | Source code for langchain.utilities.google_search
"""Util that calls Google Search."""
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.utils import get_from_dict_or_env
[docs]class GoogleSearchAPIWrapper(BaseModel):
"""Wrapper for Google Search API.
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_search.html |
07f20d9bfa4d-1 | - Under Search engine ID you’ll find the search-engine-ID.
4. Enable the Custom Search API
- Navigate to the APIs & Services→Dashboard panel in Cloud Console.
- Click Enable APIs and Services.
- Search for Custom Search API and click on it.
- Click Enable.
URL for it: https://console.cloud.googl... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_search.html |
07f20d9bfa4d-2 | try:
from googleapiclient.discovery import build
except ImportError:
raise ImportError(
"google-api-python-client is not installed. "
"Please install it with `pip install google-api-python-client`"
)
service = build("customsearch", "v1"... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_search.html |
07f20d9bfa4d-3 | }
if "snippet" in result:
metadata_result["snippet"] = result["snippet"]
metadata_results.append(metadata_result)
return metadata_results | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_search.html |
a36d3a3caca9-0 | Source code for langchain.utilities.openweathermap
"""Util that calls OpenWeatherMap using PyOWM."""
from typing import Any, Dict, Optional
from pydantic import Extra, root_validator
from langchain.tools.base import BaseModel
from langchain.utils import get_from_dict_or_env
[docs]class OpenWeatherMapAPIWrapper(BaseMode... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openweathermap.html |
a36d3a3caca9-1 | rain = w.rain
heat_index = w.heat_index
clouds = w.clouds
return (
f"In {location}, the current weather is as follows:\n"
f"Detailed status: {detailed_status}\n"
f"Wind speed: {wind['speed']} m/s, direction: {wind['deg']}°\n"
f"Humidity: {humidity}... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openweathermap.html |
657b96f8793c-0 | Source code for langchain.utilities.scenexplain
"""Util that calls SceneXplain.
In order to set this up, you need API key for the SceneXplain API.
You can obtain a key by following the steps below.
- Sign up for a free account at https://scenex.jina.ai/.
- Navigate to the API Access page (https://scenex.jina.ai/api) an... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/scenexplain.html |
657b96f8793c-1 | "languages": ["en"],
}
]
}
response = requests.post(self.scenex_api_url, headers=headers, json=payload)
response.raise_for_status()
result = response.json().get("result", [])
img = result[0] if result else {}
return img.get("text", "")
[docs] ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/scenexplain.html |
2a1d333abbbd-0 | Source code for langchain.utilities.serpapi
"""Chain that calls SerpAPI.
Heavily borrowed from https://github.com/ofirpress/self-ask
"""
import os
import sys
from typing import Any, Dict, Optional, Tuple
import aiohttp
from pydantic import BaseModel, Extra, Field, root_validator
from langchain.utils import get_from_dic... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/serpapi.html |
2a1d333abbbd-1 | [docs] class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
arbitrary_types_allowed = True
[docs] @root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
ser... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/serpapi.html |
2a1d333abbbd-2 | """Use aiohttp to run query through SerpAPI and return the results async."""
def construct_url_and_params() -> Tuple[str, Dict[str, str]]:
params = self.get_params(query)
params["source"] = "python"
if self.serpapi_api_key:
params["serp_api_key"] = self.serpap... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/serpapi.html |
2a1d333abbbd-3 | toret = res["answer_box"]["answer"]
elif "answer_box" in res.keys() and "snippet" in res["answer_box"].keys():
toret = res["answer_box"]["snippet"]
elif (
"answer_box" in res.keys()
and "snippet_highlighted_words" in res["answer_box"].keys()
):
tor... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/serpapi.html |
18d668a93dfc-0 | Source code for langchain.utilities.graphql
import json
from typing import Any, Callable, Dict, Optional
from pydantic import BaseModel, Extra, root_validator
[docs]class GraphQLAPIWrapper(BaseModel):
"""Wrapper around GraphQL API.
To use, you should have the ``gql`` python package installed.
This wrapper w... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/graphql.html |
18d668a93dfc-1 | return json.dumps(result, indent=2)
def _execute_query(self, query: str) -> Dict[str, Any]:
"""Execute a GraphQL query and return the results."""
document_node = self.gql_function(query)
result = self.gql_client.execute(document_node)
return result | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/graphql.html |
4eec71934f2d-0 | Source code for langchain.utilities.google_places_api
"""Chain that calls Google Places API.
"""
import logging
from typing import Any, Dict, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.utils import get_from_dict_or_env
[docs]class GooglePlacesAPIWrapper(BaseModel):
"""Wrapper arou... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_places_api.html |
4eec71934f2d-1 | except ImportError:
raise ImportError(
"Could not import googlemaps python package. "
"Please install it with `pip install googlemaps`."
)
return values
[docs] def run(self, query: str) -> str:
"""Run Places search and get k number of places tha... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_places_api.html |
4eec71934f2d-2 | "formatted_address", "Unknown"
)
phone_number = place_details.get("result", {}).get(
"formatted_phone_number", "Unknown"
)
website = place_details.get("result", {}).get("website", "Unknown")
formatted_details = (
f"{name}\nAddre... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_places_api.html |
1ef448ad7000-0 | Source code for langchain.utilities.google_serper
"""Util that calls Google Search using the Serper.dev API."""
from typing import Any, Dict, List, Optional
import aiohttp
import requests
from pydantic.class_validators import root_validator
from pydantic.main import BaseModel
from typing_extensions import Literal
from ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_serper.html |
1ef448ad7000-1 | arbitrary_types_allowed = True
[docs] @root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key exists in environment."""
serper_api_key = get_from_dict_or_env(
values, "serper_api_key", "SERPER_API_KEY"
)
values["serper_api_key"] ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_serper.html |
1ef448ad7000-2 | """Run query through GoogleSearch and parse result async."""
results = await self._async_google_serper_search_results(
query,
gl=self.gl,
hl=self.hl,
num=self.k,
search_type=self.type,
tbs=self.tbs,
**kwargs,
)
r... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_serper.html |
1ef448ad7000-3 | return ["No good Google Search Result was found"]
return snippets
def _parse_results(self, results: dict) -> str:
return " ".join(self._parse_snippets(results))
def _google_serper_api_results(
self, search_term: str, search_type: str = "search", **kwargs: Any
) -> dict:
heade... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_serper.html |
1ef448ad7000-4 | else:
async with self.aiosession.post(
url, params=params, headers=headers, raise_for_status=True
) as response:
search_results = await response.json()
return search_results | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/google_serper.html |
77ab16697016-0 | Source code for langchain.utilities.arxiv
"""Util that calls Arxiv."""
import logging
import os
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.schema import Document
logger = logging.getLogger(__name__)
[docs]class ArxivAPIWrapper(BaseModel):
"""Wra... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/arxiv.html |
77ab16697016-1 | [docs] class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
[docs] @root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that the python package exists in environment."""
try:
import arxiv
values["... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/arxiv.html |
77ab16697016-2 | for result in results
]
if docs:
return "\n\n".join(docs)[: self.doc_content_chars_max]
else:
return "No good Arxiv Result was found"
[docs] def load(self, query: str) -> List[Document]:
"""
Run Arxiv search and get the article texts plus the article me... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/arxiv.html |
77ab16697016-3 | "doi": result.doi,
"primary_category": result.primary_category,
"categories": result.categories,
"links": [link.href for link in result.links],
}
else:
extra_metadata = {}
metadata = {
"Pu... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/arxiv.html |
bb0eecf50215-0 | Source code for langchain.utilities.bibtex
"""Util that calls bibtexparser."""
import logging
from typing import Any, Dict, List, Mapping
from pydantic import BaseModel, Extra, root_validator
logger = logging.getLogger(__name__)
OPTIONAL_FIELDS = [
"annotate",
"booktitle",
"editor",
"howpublished",
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/bibtex.html |
bb0eecf50215-1 | """Load bibtex entries from the bibtex file at the given path."""
import bibtexparser
with open(path) as file:
entries = bibtexparser.load(file).entries
return entries
[docs] def get_metadata(
self, entry: Mapping[str, Any], load_extra: bool = False
) -> Dict[str, Any]... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/bibtex.html |
86a50fc7c431-0 | Source code for langchain.utilities.wikipedia
"""Util that calls Wikipedia."""
import logging
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.schema import Document
logger = logging.getLogger(__name__)
WIKIPEDIA_MAX_QUERY_LENGTH = 300
[docs]class Wikiped... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/wikipedia.html |
86a50fc7c431-1 | summaries = []
for page_title in page_titles[: self.top_k_results]:
if wiki_page := self._fetch_page(page_title):
if summary := self._formatted_page_summary(page_title, wiki_page):
summaries.append(summary)
if not summaries:
return "No good Wik... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/wikipedia.html |
86a50fc7c431-2 | except (
self.wiki_client.exceptions.PageError,
self.wiki_client.exceptions.DisambiguationError,
):
return None
[docs] def load(self, query: str) -> List[Document]:
"""
Run Wikipedia search and get the article text plus the meta information.
See
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/wikipedia.html |
dd575ae805fe-0 | Source code for langchain.utilities.twilio
"""Util that calls Twilio."""
from typing import Any, Dict, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.utils import get_from_dict_or_env
[docs]class TwilioAPIWrapper(BaseModel):
"""Messaging Client using Twilio.
To use, you should hav... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/twilio.html |
dd575ae805fe-1 | that is enabled for the type of message you want to send. Phone numbers or
[short codes](https://www.twilio.com/docs/sms/api/short-code) purchased from
Twilio also work here. You cannot, for example, spoof messages from a private
cell phone number. If you are using `messaging_service_sid`, th... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/twilio.html |
dd575ae805fe-2 | characters in length.
to: The destination phone number in
[E.164](https://www.twilio.com/docs/glossary/what-e164) format for
SMS/MMS or
[Channel user address](https://www.twilio.com/docs/sms/channels#channel-addresses)
for other 3rd-party chann... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/twilio.html |
b8957b2ebd22-0 | Source code for langchain.utilities.jira
"""Util that calls Jira."""
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.tools.jira.prompt import (
JIRA_CATCH_ALL_PROMPT,
JIRA_CONFLUENCE_PAGE_CREATE_PROMPT,
JIRA_GET_ALL_PROJECTS_PROMPT,
JIRA_... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/jira.html |
b8957b2ebd22-1 | "mode": "create_page",
"name": "Create confluence page",
"description": JIRA_CONFLUENCE_PAGE_CREATE_PROMPT,
},
]
[docs] class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
[docs] def list(self) -> List[Dict]:
return self.oper... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/jira.html |
b8957b2ebd22-2 | cloud=True,
)
values["jira"] = jira
values["confluence"] = confluence
return values
[docs] def parse_issues(self, issues: Dict) -> List[dict]:
parsed = []
for issue in issues["issues"]:
key = issue["key"]
summary = issue["fields"]["summary"]
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/jira.html |
b8957b2ebd22-3 | parsed = []
for project in projects:
id = project["id"]
key = project["key"]
name = project["name"]
type = project["projectTypeKey"]
style = project["style"]
parsed.append(
{"id": id, "key": key, "name": name, "type": type, ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/jira.html |
b8957b2ebd22-4 | params = json.loads(query)
return self.confluence.create_page(**dict(params))
[docs] def other(self, query: str) -> str:
context = {"self": self}
exec(f"result = {query}", context)
result = context["result"]
return str(result)
[docs] def run(self, mode: str, query: str) -> ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/jira.html |
940029a887e7-0 | Source code for langchain.utilities.openapi
"""Utility functions for parsing an OpenAPI spec."""
import copy
import json
import logging
import re
from enum import Enum
from pathlib import Path
from typing import Dict, List, Optional, Union
import requests
import yaml
from openapi_schema_pydantic import (
Components... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
940029a887e7-1 | @property
def _components_strict(self) -> Components:
"""Get components or err."""
if self.components is None:
raise ValueError("No components found in spec. ")
return self.components
@property
def _parameters_strict(self) -> Dict[str, Union[Parameter, Reference]]:
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
940029a887e7-2 | parameter = self._get_referenced_parameter(ref)
while isinstance(parameter, Reference):
parameter = self._get_referenced_parameter(parameter)
return parameter
[docs] def get_referenced_schema(self, ref: Reference) -> Schema:
"""Get a schema (or nested reference) or err."""
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
940029a887e7-3 | while isinstance(request_body, Reference):
request_body = self._get_referenced_request_body(request_body)
return request_body
@staticmethod
def _alert_unsupported_spec(obj: dict) -> None:
"""Alert if the spec is not supported."""
warning_message = (
" This may res... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
940029a887e7-4 | for key in keys[:-1]:
item = item[key]
item.pop(keys[-1], None)
return cls.parse_obj(new_obj)
[docs] @classmethod
def from_spec_dict(cls, spec_dict: dict) -> "OpenAPISpec":
"""Get an OpenAPI spec from a dict."""
return cls.parse_obj(spec_dict)
[docs... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
940029a887e7-5 | path_item = self._get_path_strict(path)
results = []
for method in HTTPVerb:
operation = getattr(path_item, method.value, None)
if isinstance(operation, Operation):
results.append(method.value)
return results
[docs] def get_parameters_for_path(self, pat... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
940029a887e7-6 | return request_body
[docs] @staticmethod
def get_cleaned_operation_id(operation: Operation, path: str, method: str) -> str:
"""Get a cleaned operation id from an operation id."""
operation_id = operation.operationId
if operation_id is None:
# Replace all punctuation of any kin... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/openapi.html |
1b11b5a773d7-0 | Source code for langchain.utilities.duckduckgo_search
"""Util that calls DuckDuckGo Search.
No setup required. Free.
https://pypi.org/project/duckduckgo-search/
"""
from typing import Dict, List, Optional
from pydantic import BaseModel, Extra
from pydantic.class_validators import root_validator
[docs]class DuckDuckGoSe... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/duckduckgo_search.html |
1b11b5a773d7-1 | timelimit=self.time,
)
if results is None:
return ["No good DuckDuckGo Search Result was found"]
snippets = []
for i, res in enumerate(results, 1):
if res is not None:
snippets.append(res["body"])
if len(... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/duckduckgo_search.html |
1b11b5a773d7-2 | if res is not None:
formatted_results.append(to_metadata(res))
if len(formatted_results) == num_results:
break
return formatted_results | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/duckduckgo_search.html |
6e0937d2a8db-0 | Source code for langchain.utilities.vertexai
"""Utilities to init Vertex AI."""
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from google.auth.credentials import Credentials
[docs]def raise_vertex_import_error() -> None:
"""Raise ImportError related to Vertex SDK being not available.
Raises:
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/vertexai.html |
c29190fd321f-0 | Source code for langchain.utilities.searx_search
"""Utility for using SearxNG meta search API.
SearxNG is a privacy-friendly free metasearch engine that aggregates results from
`multiple search engines
<https://docs.searxng.org/admin/engines/configured_engines.html>`_ and databases and
supports the `OpenSearch
<https:/... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-1 | :class:`SearxResults` is a convenience wrapper around the raw json result.
Example usage of the ``run`` method to make a search:
.. code-block:: python
s.run(query="what is the best search engine?")
Engine Parameters
-----------------
You can pass any `accepted searx search API
<https://docs.searxng.org/dev... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-2 | .. code-block:: python
# select the github engine and pass the search suffix
s = SearchWrapper("langchain library", query_suffix="!gh")
s = SearchWrapper("langchain library")
# select github the conventional google search syntax
s.run("large language models", query_suffix="site:g... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-3 | def _get_default_params() -> dict:
return {"language": "en", "format": "json"}
[docs]class SearxResults(dict):
"""Dict like wrapper around search api results."""
_data = ""
def __init__(self, data: str):
"""Take a raw result from Searx and make it into a dict like object."""
json_data = ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-4 | Example with SSL disabled:
.. code-block:: python
from langchain.utilities import SearxSearchWrapper
# note the unsecure parameter is not needed if you pass the url scheme as
# http
searx = SearxSearchWrapper(searx_host="http://localhost:8888",
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-5 | if categories:
values["params"]["categories"] = ",".join(categories)
searx_host = get_from_dict_or_env(values, "searx_host", "SEARX_HOST")
if not searx_host.startswith("http"):
print(
f"Warning: missing the url scheme on host \
! assuming secure ht... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-6 | ) as response:
if not response.ok:
raise ValueError("Searx API returned an error: ", response.text)
result = SearxResults(await response.text())
self._result = result
else:
async with self.aiosession.get(
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-7 | searx.run("what is the weather in France ?", engine="qwant")
# the same result can be achieved using the `!` syntax of searx
# to select the engine using `query_suffix`
searx.run("what is the weather in France ?", query_suffix="!qwant")
"""
_params = {
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-8 | ) -> str:
"""Asynchronously version of `run`."""
_params = {
"q": query,
}
params = {**self.params, **_params, **kwargs}
if self.query_suffix and len(self.query_suffix) > 0:
params["q"] += " " + self.query_suffix
if isinstance(query_suffix, str) an... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-9 | engines: List of engines to use for the query.
categories: List of categories to use for the query.
**kwargs: extra parameters to pass to the searx API.
Returns:
Dict with the following keys:
{
snippet: The description of the result.
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
c29190fd321f-10 | ]
[docs] async def aresults(
self,
query: str,
num_results: int,
engines: Optional[List[str]] = None,
query_suffix: Optional[str] = "",
**kwargs: Any,
) -> List[Dict]:
"""Asynchronously query with json results.
Uses aiohttp. See `results` for more i... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/searx_search.html |
d04b5323a297-0 | Source code for langchain.utilities.loading
"""Utilities for loading configurations from langchain-hub."""
import os
import re
import tempfile
from pathlib import Path, PurePosixPath
from typing import Any, Callable, Optional, Set, TypeVar, Union
from urllib.parse import urljoin
import requests
DEFAULT_REF = os.environ... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/loading.html |
d04b5323a297-1 | # when working with URLs that use forward slashes as the path separator.
# Instead, use PurePosixPath to ensure that forward slashes are used as the
# path separator, regardless of the operating system.
full_url = urljoin(URL_BASE.format(ref=ref), PurePosixPath(remote_path).__str__())
r = requests.get(f... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/loading.html |
89c41aeee7c0-0 | Source code for langchain.utilities.metaphor_search
"""Util that calls Metaphor Search API.
In order to set this up, follow instructions at:
"""
import json
from typing import Dict, List, Optional
import aiohttp
import requests
from pydantic import BaseModel, Extra, root_validator
from langchain.utils import get_from_d... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/metaphor_search.html |
89c41aeee7c0-1 | }
response = requests.post(
# type: ignore
f"{METAPHOR_API_URL}/search",
headers=headers,
json=params,
)
response.raise_for_status()
search_results = response.json()
print(search_results)
return search_results["results"]
[do... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/metaphor_search.html |
89c41aeee7c0-2 | query,
num_results=num_results,
include_domains=include_domains,
exclude_domains=exclude_domains,
start_crawl_date=start_crawl_date,
end_crawl_date=end_crawl_date,
start_published_date=start_published_date,
end_published_date=end_publis... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/metaphor_search.html |
89c41aeee7c0-3 | data = await res.text()
return data
else:
raise Exception(f"Error {res.status}: {res.reason}")
results_json_str = await fetch()
results_json = json.loads(results_json_str)
return self._clean_results(results_json["results"])
... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/metaphor_search.html |
633d67ff795d-0 | Source code for langchain.utilities.python
import sys
from io import StringIO
from typing import Dict, Optional
from pydantic import BaseModel, Field
[docs]class PythonREPL(BaseModel):
"""Simulates a standalone Python REPL."""
globals: Optional[Dict] = Field(default_factory=dict, alias="_globals")
locals: O... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/python.html |
d970cf8e9306-0 | Source code for langchain.utilities.brave_search
import json
import requests
from pydantic import BaseModel, Field
[docs]class BraveSearchWrapper(BaseModel):
api_key: str
search_kwargs: dict = Field(default_factory=dict)
[docs] def run(self, query: str) -> str:
headers = {
"X-Subscription... | https://api.python.langchain.com/en/latest/_modules/langchain/utilities/brave_search.html |
2b98891db38a-0 | Source code for langchain.output_parsers.pydantic
import json
import re
from typing import Type, TypeVar
from pydantic import BaseModel, ValidationError
from langchain.output_parsers.format_instructions import PYDANTIC_FORMAT_INSTRUCTIONS
from langchain.schema import BaseOutputParser, OutputParserException
T = TypeVar(... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/pydantic.html |
2b98891db38a-1 | @property
def _type(self) -> str:
return "pydantic" | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/pydantic.html |
306df427de8e-0 | Source code for langchain.output_parsers.combining
from __future__ import annotations
from typing import Any, Dict, List
from pydantic import root_validator
from langchain.schema import BaseOutputParser
[docs]class CombiningOutputParser(BaseOutputParser):
"""Class to combine multiple output parsers into one."""
... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/combining.html |
306df427de8e-1 | texts = text.split("\n\n")
output = dict()
for txt, parser in zip(texts, self.parsers):
output.update(parser.parse(txt.strip()))
return output | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/combining.html |
cf614e418373-0 | Source code for langchain.output_parsers.datetime
import random
from datetime import datetime, timedelta
from typing import List
from langchain.schema import BaseOutputParser, OutputParserException
from langchain.utils import comma_list
def _generate_random_datetime_strings(
pattern: str,
n: int = 3,
start_... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/datetime.html |
cf614e418373-1 | ) from e
@property
def _type(self) -> str:
return "datetime" | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/datetime.html |
dfc78299dfa0-0 | Source code for langchain.output_parsers.list
from __future__ import annotations
from abc import abstractmethod
from typing import List
from langchain.schema import BaseOutputParser
[docs]class ListOutputParser(BaseOutputParser):
"""Class to parse the output of an LLM call to a list."""
@property
def _type(... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/list.html |
63e383c26b87-0 | Source code for langchain.output_parsers.json
from __future__ import annotations
import json
import re
from typing import List
from langchain.schema import OutputParserException
[docs]def parse_json_markdown(json_string: str) -> dict:
"""
Parse a JSON string from a Markdown string.
Args:
json_string... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/json.html |
63e383c26b87-1 | if key not in json_obj:
raise OutputParserException(
f"Got invalid return object. Expected key `{key}` "
f"to be present, but got {json_obj}"
)
return json_obj | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/json.html |
5d50b5bfdcbb-0 | Source code for langchain.output_parsers.retry
from __future__ import annotations
from typing import TypeVar
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.prompts.base import BasePromptTemplate
from langchain.prompts.prompt import PromptTemplate
from lang... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/retry.html |
5d50b5bfdcbb-1 | chain = LLMChain(llm=llm, prompt=prompt)
return cls(parser=parser, retry_chain=chain)
[docs] def parse_with_prompt(self, completion: str, prompt_value: PromptValue) -> T:
try:
parsed_completion = self.parser.parse(completion)
except OutputParserException:
new_completio... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/retry.html |
5d50b5bfdcbb-2 | ) -> RetryWithErrorOutputParser[T]:
chain = LLMChain(llm=llm, prompt=prompt)
return cls(parser=parser, retry_chain=chain)
[docs] def parse_with_prompt(self, completion: str, prompt_value: PromptValue) -> T:
try:
parsed_completion = self.parser.parse(completion)
except Outp... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/retry.html |
f8af651048fa-0 | Source code for langchain.output_parsers.regex_dict
from __future__ import annotations
import re
from typing import Dict, Optional
from langchain.schema import BaseOutputParser
[docs]class RegexDictParser(BaseOutputParser):
"""Class to parse the output into a dictionary."""
regex_pattern: str = r"{}:\s?([^.'\n'... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/regex_dict.html |
f946aa55c271-0 | Source code for langchain.output_parsers.enum
from enum import Enum
from typing import Any, Dict, List, Type
from pydantic import root_validator
from langchain.schema import BaseOutputParser, OutputParserException
[docs]class EnumOutputParser(BaseOutputParser):
enum: Type[Enum]
[docs] @root_validator()
def r... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/enum.html |
c24c09d526ff-0 | Source code for langchain.output_parsers.openai_functions
import json
from typing import Any, List
from langchain.schema import BaseLLMOutputParser, ChatGeneration, Generation
[docs]class OutputFunctionsParser(BaseLLMOutputParser[Any]):
args_only: bool = True
[docs] def parse_result(self, result: List[Generation... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/openai_functions.html |
c24c09d526ff-1 | return pydantic_args
[docs]class PydanticAttrOutputFunctionsParser(PydanticOutputFunctionsParser):
attr_name: str
[docs] def parse_result(self, result: List[Generation]) -> Any:
result = super().parse_result(result)
return getattr(result, self.attr_name) | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/openai_functions.html |
f6cd49ab50c4-0 | Source code for langchain.output_parsers.structured
from __future__ import annotations
from typing import Any, List
from pydantic import BaseModel
from langchain.output_parsers.format_instructions import STRUCTURED_FORMAT_INSTRUCTIONS
from langchain.output_parsers.json import parse_and_check_json_markdown
from langchai... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/structured.html |
1196e8a21ace-0 | Source code for langchain.output_parsers.boolean
from langchain.schema import BaseOutputParser
[docs]class BooleanOutputParser(BaseOutputParser[bool]):
true_val: str = "YES"
false_val: str = "NO"
[docs] def parse(self, text: str) -> bool:
"""Parse the output of an LLM call to a boolean.
Args:... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/boolean.html |
26a99ebbc90f-0 | Source code for langchain.output_parsers.fix
from __future__ import annotations
from typing import TypeVar
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.output_parsers.prompts import NAIVE_FIX_PROMPT
from langchain.prompts.base import BasePromptTemplate
f... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/fix.html |
48ac0df5d07a-0 | Source code for langchain.output_parsers.regex
from __future__ import annotations
import re
from typing import Dict, List, Optional
from langchain.schema import BaseOutputParser
[docs]class RegexParser(BaseOutputParser):
"""Class to parse the output into a dictionary."""
regex: str
output_keys: List[str]
... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/regex.html |
27c506f26eb3-0 | Source code for langchain.output_parsers.loading
from langchain.output_parsers.regex import RegexParser
[docs]def load_output_parser(config: dict) -> dict:
"""Load output parser."""
if "output_parsers" in config:
if config["output_parsers"] is not None:
_config = config["output_parsers"]
... | https://api.python.langchain.com/en/latest/_modules/langchain/output_parsers/loading.html |
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