mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +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
74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
from __future__ import annotations
|
|
|
|
import logging
|
|
from typing import Optional
|
|
|
|
from langchain_core.callbacks import CallbackManagerForToolRun
|
|
|
|
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
class EdenAiParsingInvoiceTool(EdenaiTool):
|
|
"""Tool that queries the Eden AI Invoice parsing API.
|
|
|
|
for api reference check edenai documentation:
|
|
https://docs.edenai.co/reference/ocr_invoice_parser_create.
|
|
|
|
To use, you should have
|
|
the environment variable ``EDENAI_API_KEY`` set with your API token.
|
|
You can find your token here: https://app.edenai.run/admin/account/settings
|
|
|
|
"""
|
|
|
|
name = "edenai_invoice_parsing"
|
|
|
|
description = (
|
|
"A wrapper around edenai Services invoice parsing. "
|
|
"""Useful for when you have to extract information from
|
|
an image it enables to take invoices
|
|
in a variety of formats and returns the data in contains
|
|
(items, prices, addresses, vendor name, etc.)
|
|
in a structured format to automate the invoice processing """
|
|
"Input should be the string url of the document to parse."
|
|
)
|
|
|
|
language: Optional[str] = None
|
|
"""
|
|
language of the image passed to the model.
|
|
"""
|
|
|
|
feature = "ocr"
|
|
subfeature = "invoice_parser"
|
|
|
|
def _parse_response(self, response: list) -> str:
|
|
formatted_list: list = []
|
|
|
|
if len(response) == 1:
|
|
self._parse_json_multilevel(
|
|
response[0]["extracted_data"][0], formatted_list
|
|
)
|
|
else:
|
|
for entry in response:
|
|
if entry.get("provider") == "eden-ai":
|
|
self._parse_json_multilevel(
|
|
entry["extracted_data"][0], formatted_list
|
|
)
|
|
|
|
return "\n".join(formatted_list)
|
|
|
|
def _run(
|
|
self,
|
|
query: str,
|
|
run_manager: Optional[CallbackManagerForToolRun] = None,
|
|
) -> str:
|
|
"""Use the tool."""
|
|
query_params = {
|
|
"file_url": query,
|
|
"language": self.language,
|
|
"attributes_as_list": False,
|
|
}
|
|
|
|
return self._call_eden_ai(query_params)
|