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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 0.1.26

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 0.1.26
File Size Uploaded Provenance Actions
labdata-0.1.26.tar.gz 526.2 kB Without provenance Details for labdata-0.1.26.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for labdata 0.1.26
File Interpreter ABI Platform Actions
labdata-0.1.26-py3-none-any.whl Python 3 none any Details for labdata-0.1.26-py3-none-any.whl

Total release size: 1.1 MB

Release files / labdata-0.1.26.tar.gz

Download URL labdata-0.1.26.tar.gz
Size 526.2 kB
Tags Source
SHA-256 checksum
How to use checksums
f6466270fa695fe32a5414652177df8c3d15ac684b3bf7d3fde6df96e197c1c7
BLAKE2b-256 checksum
How to use checksums
0e797c6ef0e89b8ee90f29179085c15eedb805f8c3998aee2d4dd6f4d8285f99
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.6

Release files / labdata-0.1.26-py3-none-any.whl

Download URL labdata-0.1.26-py3-none-any.whl
Size 560.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bec0ca406a1b7d37bab74450d4728c150a715db64dd8d064832f19a68c5f8855
BLAKE2b-256 checksum
How to use checksums
9cf74b2603db60236a45c86c7f584f28d5d232306a72c4b911861975c742fabb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.6

Security for labdata 0.1.26

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This release

0.1.26 This release

2 release files No provenance

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