semvec/pypi-packages huggingface dataset:
pganonymizer 0.0.5
Database anonymizer package
Requires Python: >=3.5

# PGAnonymizer

PGAnonymizer is a tool for anonymizing database for testing purposes.

## Installation
PGAnonymizer required Python 3.5 and above to run. PGAnonymizer can be installed using pip.
```sh
$ pip install pganonymizer
```

## Background
PGAnonymizer will hash columns in table depending on the rules inside CSJ file.
### CSJ file format:
```
"table", "column", "rule"
"schema.table_to_be_hased", "columned_to_be_hased", "hash"
"schema.table_to_be_hased", "columned_to_be_hased", "date"
"schema.table_to_be_hased", "columned_to_be_hased", "phone"
```
#### Example for rules for hashing
`Hash` is for text type field such as name or address. The return value will be in base32 with length of atmost 16.  
Example input:
```
Customer1
```
Example output:
```
EC35FEOXDMVR7Y5C
```
`Date` is for date type field. The return value will keep the original year but hash the month and date field.   
Example input:
```
2000-12-15
```
Example output:
```
2000-01-10
```
`Phone` is for phone number. The return value will be of same length as the original number.   
Example input:
```
+66932019385
```
Example output:
```
+66254818000
```
## Instruction
Format:
```sh
$ pganonymizer [database environment] [option]
```
To use PGAnonymizer, you can call:
```sh
$ pganonymizer --schema path_to_schema_file.csj
```
By default, PGAnonymizer will connect to database using user's username as database and role.  
Otherwise, please specify as follow:
```sh
$ pganonymizer -d postgres -U postgres --schema path_to_schema_file.csj
```
For more information on the usage, please use the following command:
```sh
$ pganonymizer --help
```
datavoreclient 1.0rc1
Datavore-client - Python Client library to get data from LOPS Datavore services

Datavore-client - Python Client library to get data 
from LOPS Datavore services
=============================================================================

Installation : 

    pip install datavoreclient

Usage example:

    >>> from datavoreclient import Datalaps
    >>> dl = Datalaps()
    >>> idxlist = dl.searchIndexes('.*smos.*argo', return_id_only=False)
    >>> dl.getTimeserie(idxlist[0][0], 'SSSSAT', '-20,-20,20,20', groupby='yyyy-MM')