id stringlengths 14 16 | text stringlengths 31 2.41k | source stringlengths 53 121 |
|---|---|---|
fa9f8052d3ca-0 | Source code for langchain.utilities.max_compute
from __future__ import annotations
from typing import TYPE_CHECKING, Iterator, List, Optional
from langchain.utils import get_from_env
if TYPE_CHECKING:
from odps import ODPS
[docs]class MaxComputeAPIWrapper:
"""Interface for querying Alibaba Cloud MaxCompute tabl... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/max_compute.html |
fa9f8052d3ca-1 | "https://pyodps.readthedocs.io/."
) from ex
access_id = access_id or get_from_env("access_id", "MAX_COMPUTE_ACCESS_ID")
secret_access_key = secret_access_key or get_from_env(
"secret_access_key", "MAX_COMPUTE_SECRET_ACCESS_KEY"
)
client = ODPS(
access_... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/max_compute.html |
ad04f6b6b041-0 | 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/stable/_modules/langchain/utilities/google_search.html |
ad04f6b6b041-1 | - 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/stable/_modules/langchain/utilities/google_search.html |
ad04f6b6b041-2 | 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", developerKey=google_api_key)
values["search_engine"] = serv... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/google_search.html |
ad04f6b6b041-3 | metadata_result["snippet"] = result["snippet"]
metadata_results.append(metadata_result)
return metadata_results | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/google_search.html |
b8563074f47d-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/stable/_modules/langchain/utilities/arxiv.html |
b8563074f47d-1 | doc_content_chars_max: Optional[int] = 4000
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:
i... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/arxiv.html |
b8563074f47d-2 | f"Summary: {result.summary}"
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 ... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/arxiv.html |
b8563074f47d-3 | "journal_ref": result.journal_ref,
"doi": result.doi,
"primary_category": result.primary_category,
"categories": result.categories,
"links": [link.href for link in result.links],
}
else:
extra_met... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/arxiv.html |
0b28c8a2c05c-0 | Source code for langchain.utilities.wolfram_alpha
"""Util that calls WolframAlpha."""
from typing import Any, Dict, Optional
from pydantic import BaseModel, Extra, root_validator
from langchain.utils import get_from_dict_or_env
[docs]class WolframAlphaAPIWrapper(BaseModel):
"""Wrapper for Wolfram Alpha.
Docs fo... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/wolfram_alpha.html |
0b28c8a2c05c-1 | res = self.wolfram_client.query(query)
try:
assumption = next(res.pods).text
answer = next(res.results).text
except StopIteration:
return "Wolfram Alpha wasn't able to answer it"
if answer is None or answer == "":
# We don't want to return the assu... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/wolfram_alpha.html |
2fd1c2d087a0-0 | 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/stable/_modules/langchain/utilities/graphql.html |
2fd1c2d087a0-1 | 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/stable/_modules/langchain/utilities/graphql.html |
85830dbfd5a6-0 | 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/stable/_modules/langchain/utilities/openapi.html |
85830dbfd5a6-1 | @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/stable/_modules/langchain/utilities/openapi.html |
85830dbfd5a6-2 | 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/stable/_modules/langchain/utilities/openapi.html |
85830dbfd5a6-3 | 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/stable/_modules/langchain/utilities/openapi.html |
85830dbfd5a6-4 | 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/stable/_modules/langchain/utilities/openapi.html |
85830dbfd5a6-5 | 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/stable/_modules/langchain/utilities/openapi.html |
85830dbfd5a6-6 | 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/stable/_modules/langchain/utilities/openapi.html |
d998fc6b7334-0 | Source code for langchain.utilities.apify
from typing import Any, Callable, Dict, Optional
from pydantic import BaseModel, root_validator
from langchain.document_loaders import ApifyDatasetLoader
from langchain.document_loaders.base import Document
from langchain.utils import get_from_dict_or_env
[docs]class ApifyWrapp... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/apify.html |
d998fc6b7334-1 | *,
build: Optional[str] = None,
memory_mbytes: Optional[int] = None,
timeout_secs: Optional[int] = None,
) -> ApifyDatasetLoader:
"""Run an Actor on the Apify platform and wait for results to be ready.
Args:
actor_id (str): The ID or name of the Actor on the Apify... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/apify.html |
d998fc6b7334-2 | memory_mbytes: Optional[int] = None,
timeout_secs: Optional[int] = None,
) -> ApifyDatasetLoader:
"""Run an Actor on the Apify platform and wait for results to be ready.
Args:
actor_id (str): The ID or name of the Actor on the Apify platform.
run_input (Dict): The inp... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/apify.html |
d998fc6b7334-3 | timeout_secs: Optional[int] = None,
) -> ApifyDatasetLoader:
"""Run a saved Actor task on Apify and wait for results to be ready.
Args:
task_id (str): The ID or name of the task on the Apify platform.
task_input (Dict): The input object of the task that you're trying to run.
... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/apify.html |
d998fc6b7334-4 | timeout_secs: Optional[int] = None,
) -> ApifyDatasetLoader:
"""Run a saved Actor task on Apify and wait for results to be ready.
Args:
task_id (str): The ID or name of the task on the Apify platform.
task_input (Dict): The input object of the task that you're trying to run.
... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/apify.html |
1d11990d8aaf-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/stable/_modules/langchain/utilities/jira.html |
1d11990d8aaf-1 | "mode": "create_page",
"name": "Create confluence page",
"description": JIRA_CONFLUENCE_PAGE_CREATE_PROMPT,
},
]
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
[docs] def list(self) -> List[Dict]:
return self.operations... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/jira.html |
1d11990d8aaf-2 | 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"]
created = issue["fiel... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/jira.html |
1d11990d8aaf-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/stable/_modules/langchain/utilities/jira.html |
1d11990d8aaf-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/stable/_modules/langchain/utilities/jira.html |
bac05a50b69c-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/stable/_modules/langchain/utilities/awslambda.html |
bac05a50b69c-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/stable/_modules/langchain/utilities/awslambda.html |
ce0a6450eb6f-0 | Source code for langchain.utilities.bing_search
"""Util that calls Bing Search.
In order to set this up, follow instructions at:
https://levelup.gitconnected.com/api-tutorial-how-to-use-bing-web-search-api-in-python-4165d5592a7e
"""
from typing import Dict, List
import requests
from pydantic import BaseModel, Extra, ro... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/bing_search.html |
ce0a6450eb6f-1 | bing_subscription_key = get_from_dict_or_env(
values, "bing_subscription_key", "BING_SUBSCRIPTION_KEY"
)
values["bing_subscription_key"] = bing_subscription_key
bing_search_url = get_from_dict_or_env(
values,
"bing_search_url",
"BING_SEARCH_URL",
... | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/bing_search.html |
ce0a6450eb6f-2 | "snippet": result["snippet"],
"title": result["name"],
"link": result["url"],
}
metadata_results.append(metadata_result)
return metadata_results | https://api.python.langchain.com/en/stable/_modules/langchain/utilities/bing_search.html |
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