kgr 0.3.0

Miltitool for convert data from https://memopzk.org to Google Maps

kgr

Multitool for converting data from memopzk.org to Google Maps

Description

This project provides a tool for converting data from the format used on memopzk.org to a format supported by Google Maps.

Installation

You can install kgr using pip:

pip install kgr

Contribution

We welcome contributions from the community! Please create pull requests and report bugs via the Issues system.

License

This project is licensed under the MIT license. For details, see the LICENSE file.

Requirements

• Python 3
• Dependencies specified in project.toml

Usage Examples

View the program version:

python -m kgr -v

View the help:

python -m kgr -h
python -m kgr prepare -h
python -m kgr geocode -h
python -m kgr convert -h
python -m kgr check -h

Complete Data Processing Workflow:

python -m kgr prepare -i list__76cce2b204_25-05-2024.csv -y -v -e errors.txt
...after filling in the city field...
python -m kgr geocode -i list__76cce2b204_25-05-2024.csv -y -r -v -e missing.txt
python -m kgr convert -i list__76cce2b204_25-05-2024.csv -s "Список политзаключённых — Мемориал."

Common Options for All Commands

All commands that process input files use the -i option for specifying the input file. To specify the output file, use the -o option or overwrite the input file with -y. When reading input data from a CSV file, the program will try to determine the delimiter character itself, but you can specify it explicitly using the -d option. Similarly, you can specify the encoding of the input file using the -c option, with the default being UTF-8 encoding. The prepare and geocode commands make requests for the necessary information and can take considerable time. To see progress during their execution, you can add the -v or -vv option. If a request cannot be processed, the program will display failed requests, which can be redirected to a file using the -e option. Additionally, each command has its own specific options.

Command Descriptions

Prepare CSV files from memopzk.org

usage: __main__.py prepare [-h] -i INPUT (-y | -o OUTPUT) [-d DELIMITER] [-c ENCODING] [-v] [-q | -e ERROR]

Parse source csv file from https://memopzk.org

options:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        input csv file with data
  -y, --replace         replace input csv file
  -o OUTPUT, --output OUTPUT
                        output csv file
  -d DELIMITER, --delimiter DELIMITER
                        delimiter in the input csv file
  -c ENCODING, --encoding ENCODING
                        encoding of the input csv file
  -v, --verbosity       add progress messages
  -q, --quiet           ignore errors
  -e ERROR, --error ERROR
                        log file for errors

Get Geocodes from OpenStreetMap

usage: __main__.py geocode [-h] -i INPUT (-y | -o OUTPUT) [-r] [-d DELIMITER] [-c ENCODING] [-v] [-q | -e ERROR]

Get geocode from OpenStreetMap

options:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        input csv file with data
  -y, --replace         replace input csv file
  -o OUTPUT, --output OUTPUT
                        output csv file
  -r, --random          randomize geocode for exclude collision
  -d DELIMITER, --delimiter DELIMITER
                        delimiter in the input csv file
  -c ENCODING, --encoding ENCODING
                        encoding of the input csv file
  -v, --verbosity       add progress messages
  -q, --quiet           ignore get geocode errors
  -e ERROR, --error ERROR
                        log file for missing persons

Convert CSV File to KML

usage: __main__.py convert [-h] -i INPUT [-o OUTPUT] [-d DELIMITER] [-c ENCODING] [-s SUFFIX] [-l LAYOUT]

Convertor data from CSV to KML

options:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        input csv file with data
  -o OUTPUT, --output OUTPUT
                        output kml file
  -d DELIMITER, --delimiter DELIMITER
                        delimiter in the input csv file
  -c ENCODING, --encoding ENCODING
                        encoding of the input csv file
  -s SUFFIX, --suffix SUFFIX
                        the phrase added to the description of each person
  -l LAYOUT, --layout LAYOUT
                        the internal name of the xml document and the name of the layer on the map

Get Single Address Geocode

usage: __main__.py check [-h] -a ADDRESS

Check get geocode for single address

options:
  -h, --help            show this help message and exit
  -a ADDRESS, --address ADDRESS
                        input address for check