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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-0.1.14.tar.gz (242.3 kB view details)

Uploaded Source

Built Distribution

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

labdata-0.1.14-py3-none-any.whl (265.7 kB view details)

Uploaded Python 3

File details

Details for the file labdata-0.1.14.tar.gz.

File metadata

  • Download URL: labdata-0.1.14.tar.gz
  • Upload date:
  • Size: 242.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for labdata-0.1.14.tar.gz
Algorithm Hash digest
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MD5 c477dccb6dce9b75c97cf1a92f585d7e
BLAKE2b-256 754c689d84d3b7fdcdc31181d8234a639c4c75d0bde5769b3c49e9ad41b50cb4

See more details on using hashes here.

File details

Details for the file labdata-0.1.14-py3-none-any.whl.

File metadata

  • Download URL: labdata-0.1.14-py3-none-any.whl
  • Upload date:
  • Size: 265.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for labdata-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 073bd25522d8e98ef27fe4dfe0a1fdf03006be285ac86f30d5269d9d420b27f5
MD5 37d5f2be236960474ec74b298a9ace49
BLAKE2b-256 01c7f6c21793680905625ef2e036341727a24f53b38e848afb68bc3fff44026f

See more details on using hashes here.

Release history Release notifications | RSS feed

0.1.16

2 files

0.1.15

2 files

This release

0.1.14 This release

2 files

0.1.13

2 files

0.1.12

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0.1.11

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0.1.9

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0.1.8

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0.1.7

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0.1.6

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0.1.4

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0.1.3

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0.1.2

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0.1.1

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0.1.0

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0.0.25

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0.0.24

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0.0.16

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0.0.15

2 files

0.0.14

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0.0.12

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0.0.11

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0.0.10

2 files

0.0.9

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0.0.8

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0.0.7

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0.0.6

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0.0.5

2 files

0.0.3

3 files

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