The humiolib library is a wrapper for Humio's web API, supporting easy interaction with Humio directly from Python. Full documentation for this repository can be found at https://python-humio.readthedocs.io/en/latest/readme.html.
The vision for humiolib is to create an opinionated wrapper around the Humio web API, supporting log ingestion and log queries. The project does not simply expose web endpoints as Python methods, but attempts to improve upon the usability experience of the API. In addition the project seeks to add non-intrusive quality of life features, so that users can focus on their primary goals during development.
This project is maintained by employees at Humio ApS. As a general rule, only employees at Humio can become maintainers and have commit privileges to this repository. Therefore, if you want to contribute to the project, which we very much encourage, you must first fork the repository. Maintainers will have the final say on accepting or rejecting pull requests. As a rule of thumb, pull requests will be accepted if:
- The contribution fits with the project's vision
- All automated tests have passed
- The contribution is of a quality comparable to the rest of the project
The maintainers will attempt to react to issues and pull requests quickly, but their ability to do so can vary. If you haven't heard back from a maintainer within 7 days of creating an issue or making a pull request, please feel free to ping them on the relevant post.
The active maintainers involved with this project include:
The humiolib library has been published on PyPI, so you can use pip to install it:
pip install humiolib
The examples below seek to get you going with humiolib. For further documentation have a look at the code itself.
The HumioClient class is used for general interaction with Humio. It is mainly used for performing queries, as well as managing different aspects of your Humio instance.
from humiolib.HumioClient import HumioClient
# Creating the client
client = HumioClient(
base_url= "https://cloud.humio.com",
repository= "sandbox",
user_token="*****")
# Using a streaming query
webStream = client.streaming_query("Login Attempt Failed", is_live=True)
for event in webStream:
print(event)
# Using a queryjob
queryjob = client.create_queryjob("Login Attempt Failed", is_live=True)
poll_result = queryjob.poll()
for event in poll_result.events:
print(event)
# With a static queryjob you can poll it iterativly until it has been exhausted
queryjob = client.create_queryjob("Login Attempt Failed", is_live=False)
for poll_result in queryjob.poll_until_done():
print(poll_result.metadata)
for event in poll_result.events:
print(event)The HumioIngestClient class is used for ingesting data into Humio. While the HumioClient can also be used for ingesting data, this is mainly meant for debugging.
from humiolib.HumioClient import HumioIngestClient
# Creating the client
client = HumioIngestClient(
base_url= "https://cloud.humio.com",
ingest_token="*****")
# Ingesting Unstructured Data
messages = [
"192.168.1.21 - user1 [02/Nov/2017:13:48:26 +0000] \"POST /humio/api/v1/ingest/elastic-bulk HTTP/1.1\" 200 0 \"-\" \"useragent\" 0.015 664 0.015",
"192.168.1..21 - user2 [02/Nov/2017:13:49:09 +0000] \"POST /humio/api/v1/ingest/elastic-bulk HTTP/1.1\" 200 0 \"-\" \"useragent\" 0.013 565 0.013"
]
client.ingest_messages(messages)
# Ingesting Structured Data
structured_data = [
{
"tags": {"host": "server1" },
"events": [
{
"timestamp": "2020-03-23T00:00:00+00:00",
"attributes": {"key1": "value1", "key2": "value2"}
}
]
}
]
client.ingest_json_data(structured_data)