langchain.document_loaders.datadog_logs.DatadogLogsLoader¶
class langchain.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.
lazy_load()
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.