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labdata

Tools to copy data and manage data analysis in an experimental neuroscience lab.

This is built after labdata-tools and integrates with S3 and a database through datajoint.

Concepts

Experiments often involve many computers in the lab and data has to be copied to a server(and sometimes backed up). In this process files can be corrupted, data loss and so on, specially if manually copying files. Further, in some cases, tasks have to be performed on the files (those might involve compressing, formatting, etc).

What labdata does to copy files: 1. After data are acquired, labdata performs a md5 checksum of the file to be copied and copies the file to a server. 2. After the copy, the checksum and datapath are placed on the Upload database table. 3. The computer/server that manages the copy to the permanent storage server will read the database table. The server will perform a checksum on the file to ensure the copy from the acquisition computer was ok. 4. If needed it will compress data or do whatever is specified in the preference file rules (see upload_rules) 5. Data will be put in S3 and added to the Files

Instalation

Clone the repository to a folder in your computer and do:

pip install . or pip install -e . to if you want that the source code follows git.

Release files for labdata 0.1.21

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for labdata 0.1.21
File Size Uploaded
labdata-0.1.21.tar.gz 377.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for labdata 0.1.21
File Interpreter ABI Platform
labdata-0.1.21-py3-none-any.whl Python 3 none any Details

Total release size: 781.7 kB

Release files / labdata-0.1.21.tar.gz

Download URL labdata-0.1.21.tar.gz
Size 377.3 kB
Tags Source
SHA-256 checksum
How to use checksums
9b691692996ab2d8a87b9259ad149b5519d917fb4818631b4f592c1954a07c0f
BLAKE2b-256 checksum
How to use checksums
310820c419a58f2df82491718db4e4754e5d715b376af14215adf768e5d167e3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.6

Release files / labdata-0.1.21-py3-none-any.whl

Download URL labdata-0.1.21-py3-none-any.whl
Size 404.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f2dc98cbf3b6d507f40573ffb917c16daec300f57267ddfb5b0b36f3c84b2410
BLAKE2b-256 checksum
How to use checksums
d80a58b1ac17d8d5f154102ce441c5308c8c27de67c45e7e6d358f1c085b0a82
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.6

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0.1.21 This release

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