CAMRCS
camrcs is a Python package that manages data backups to Cambridge University Research Cold Storage (RCS).
Complete documentation can be found here.
QUICKSTART
Installation
Install pigz first:
sudo apt-get install pigz
Then install camrcs:
pip install camrcs
Before first use
camrcs requires a data.csv file that stores information of what to upload, etc.
To create a new data.csv run:
cd any/path/to/store/file
camrcs up --new
Uploading data to RCS
First include all relevant information in data.csv, then run from the directory containing data.csv:
camrcs up
This will upload all data that has not yet been uploaded to RCS.
Retrieving data from RCS
For example, to retrieve the archive with id 1 from data.csv run:
camrcs down -t 1
Metadata
Release files for camrcs 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| camrcs-0.9.0.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| camrcs-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.2 kB
Release files / camrcs-0.9.0.tar.gz
| Download URL | camrcs-0.9.0.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0a4119544b1884cb1d5f4309336cca00f6ec0c8951cb265d382f8e5cd2eec191
|
|
BLAKE2b-256 checksum How to use checksums |
8e540b09a86c7d36c27282a0e8c43290795c8931196a48b563731c7d1a1640dc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.0
|
Release files / camrcs-0.9.0-py3-none-any.whl
| Download URL | camrcs-0.9.0-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ae5caaaa06622a778e7ddea3645822ff6c48fce0be817d33ab98c6bdca3dad1f
|
|
BLAKE2b-256 checksum How to use checksums |
3bbe9669e6c80b866820e7dfb4b9fb7e17259596495f3e0ede970b4f98ff9bcb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.0
|