Skip to main content

Timeseries Database

Project description

AtriumDB

AtriumDB is a comprehensive solution for the management and analysis of physiological waveform data. It includes a powerful SDK for data compression, storage and retrieval.

Installation

From PyPI (recommended)

$ pip install atriumdb

This will install the base version of AtriumDB, allowing the reading and writing to local datasets, supported by sqlite3 only. For more installation options including support to MariaDB datasets see the documentation. To install from source see GitHub readme here.

Quick Start

Creating a new dataset

To create a new dataset, you can use the create_dataset method. This method allows you to specify the type of metadata database to use and where the data will be stored.

from atriumdb import AtriumSDK

# Create a new local dataset using SQLite
sdk = AtriumSDK.create_dataset(dataset_location="./new_dataset", database_type="sqlite")

# OR create a new local dataset using MariaDB
connection_params = {
    'host': "localhost",
    'user': "user",
    'password': "pass",
    'database': "new_dataset",
    'port': 3306
}

sdk = AtriumSDK.create_dataset(dataset_location="./new_dataset", database_type="mysql", connection_params=connection_params)

The sdk object is how you will interact with the dataset including retrieving data, saving data and any of the other methods defined in the documentation.

Connecting to an existing dataset

To connect to an already created dataset, you will need to specify a local path where the dataset is stored if it's a sqlite database. If it's a MariaDB dataset you will also have to specify the connection parameters.

# Import AtriumSDK python object
from atriumdb import AtriumSDK

# Define a directory path where the dataset is stored (always needed)
dataset_location = "./example_dataset"

# Create AtriumSDK python object (sqlite)
sdk = AtriumSDK(dataset_location=dataset_location)

# OR Connect to a dataset supported by mariadb
connection_params = {
    'host': "localhost",
    'user': "user",
    'password': "pass",
    'database': "new_dataset",
    'port': 3306
}

sdk = AtriumSDK(dataset_location=dataset_location, metadata_connection_type="mysql", connection_params=connection_params)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

atriumdb-2.0.0-py3-none-any.whl (898.8 kB view details)

Uploaded Python 3

File details

Details for the file atriumdb-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: atriumdb-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 898.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for atriumdb-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 697b62a87a5b627e50f9fe7c0cfdb9dd28bdb67beb182e1198f5ac85d7e73b29
MD5 6b96e0d72dbb1cf282808b476329b332
BLAKE2b-256 995252ca2584790bd03307acfd195ae8859fc3cf7ba72c2acf7a7faf9cf841dd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page