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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.

Download files

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

Source Distribution

labdata-0.1.16.tar.gz (251.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

labdata-0.1.16-py3-none-any.whl (272.8 kB view details)

Uploaded Python 3

File details

Details for the file labdata-0.1.16.tar.gz.

File metadata

  • Download URL: labdata-0.1.16.tar.gz
  • Upload date:
  • Size: 251.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for labdata-0.1.16.tar.gz
Algorithm Hash digest
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MD5 eff146742f3ffd1172cc9c3a8d097ca9
BLAKE2b-256 6fac2a253e693fb1e6a080cb0127a817bf85b1a31b46e2e3a27934a277fac552

See more details on using hashes here.

File details

Details for the file labdata-0.1.16-py3-none-any.whl.

File metadata

  • Download URL: labdata-0.1.16-py3-none-any.whl
  • Upload date:
  • Size: 272.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for labdata-0.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 53be920a854209cfbeaae9287b8aefe56803d7a4ffe9e9dfd5146af3c403c1f0
MD5 e4af89f3e74c3d75e80eb14bb05129ee
BLAKE2b-256 7a9137fc2b4e13c45be50cac388a1a979fe229f62ac0fb13c4a66e08e20b9505

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.16 This release

2 files

0.1.15

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0.1.14

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