langchain_community.document_loaders.datadog_logs
.DatadogLogsLoader¶
- class langchain_community.document_loaders.datadog_logs.DatadogLogsLoader(query: str, api_key: str, app_key: str, from_time: Optional[int] = None, to_time: Optional[int] = None, limit: int = 100)[source]¶
Load Datadog logs.
Logs are written into the page_content and into the metadata.
Initialize Datadog document loader.
- Requirements:
Must have datadog_api_client installed. Install with pip install datadog_api_client.
- Parameters
query – The query to run in Datadog.
api_key – The Datadog API key.
app_key – The Datadog APP key.
from_time – Optional. The start of the time range to query. Supports date math and regular timestamps (milliseconds) like ‘1688732708951’ Defaults to 20 minutes ago.
to_time – Optional. The end of the time range to query. Supports date math and regular timestamps (milliseconds) like ‘1688732708951’ Defaults to now.
limit – The maximum number of logs to return. Defaults to 100.
Methods
__init__
(query, api_key, app_key[, ...])Initialize Datadog document loader.
A lazy loader for Documents.
load
()Get logs from Datadog.
load_and_split
([text_splitter])Load Documents and split into chunks.
parse_log
(log)Create Document objects from Datadog log items.
- __init__(query: str, api_key: str, app_key: str, from_time: Optional[int] = None, to_time: Optional[int] = None, limit: int = 100) None [source]¶
Initialize Datadog document loader.
- Requirements:
Must have datadog_api_client installed. Install with pip install datadog_api_client.
- Parameters
query – The query to run in Datadog.
api_key – The Datadog API key.
app_key – The Datadog APP key.
from_time – Optional. The start of the time range to query. Supports date math and regular timestamps (milliseconds) like ‘1688732708951’ Defaults to 20 minutes ago.
to_time – Optional. The end of the time range to query. Supports date math and regular timestamps (milliseconds) like ‘1688732708951’ Defaults to now.
limit – The maximum number of logs to return. Defaults to 100.
- load() List[Document] [source]¶
Get logs from Datadog.
- Returns
- A list of Document objects.
page_content
- metadata
id
service
status
tags
timestamp
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document] ¶
Load Documents and split into chunks. Chunks are returned as Documents.
- Parameters
text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.