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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.

Metadata

Release files for labdata 0.1.24

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 0.1.24
File Size Uploaded Provenance
labdata-0.1.24.tar.gz 501.8 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for labdata 0.1.24
File Interpreter ABI Platform
labdata-0.1.24-py3-none-any.whl Python 3 none any Details

Total release size: 1.0 MB

Release files / labdata-0.1.24.tar.gz

Download URL labdata-0.1.24.tar.gz
Size 501.8 kB
Tags Source
SHA-256 checksum
How to use checksums
f87edb28c76c6b26d0f4cd902a3372a162f7b53e22de3f4a67b8b2b8cc12370f
BLAKE2b-256 checksum
How to use checksums
ad665a66d619d0b3512820f033dc66a20042fec959b5caecb91a84101a5cb17a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.6

Release files / labdata-0.1.24-py3-none-any.whl

Download URL labdata-0.1.24-py3-none-any.whl
Size 536.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5a1e28ca69ad38cf8e21b14d6fedd8ed828ad00b1b2bd2af1149a7b32eae9330
BLAKE2b-256 checksum
How to use checksums
112e5f2b682081bfc6441dd483fb6e33f17a5f19371ba379d2bb4ed93ce7ce3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.6

Security for labdata 0.1.24

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This release

0.1.24 This release

2 release files No provenance

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