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Fetch tool for video game meta data from various sources. Writes fetched data into a zip archive.

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daft - data fetch tool

Python 3

Fetch tool for video game meta data from various sources. Writes fetched data into a zip archive.

daft logo

Supported sources:

Installation

This application provides a setup.py which helps installing this application. To install run:

pip install -e .

Usage

# create config.yml
daft --init

# fetch full dataset
daft SOURCE --fetch

# update dataset (if available)
daft SOURCE --update

# export standardized dataset
daft --export

# start daft api
daft api

config file

The config.yml need to be in the project root directory and looks like this:

project:
  name: "test"
  data_dir: "../../game_metadata/sources"
  export_dir: "../../game_metadata/daft_export"

sources:
  mobygames:
    api_key: "<YOUR_API_KEY_HERE>"

api:
  - mobygames

export:
  mobygames:
      - title
      - alt_titles
      - platforms
  mediaartdb:
      - title
      - alt_titles
      - platforms
  • data_dir: directory for the raw source datafiles (e.g. generated via the fetch command)
  • export_dir: directory for the stadardized dataset exort
  • sources: configuration for the fetchers (api-keys etc.)
  • export: configuration for the standardized dataset export (fields must be spezified in the respective dataset reader classes)
  • api: list of datasets available through the api

Reader classes

daft provides reader classes for all supported datasets. Theses reader classes provide a standardized interface. A factory method is also provided.

Example:

from daft.reader import get_dataset

# load mobygames dataset
mobygames = get_dataset("path_to_daft_directory", "mobygames")

# iterate through mobygames dataset
for game in mobygames:
    print(game["title"])
    break

# get specific mobygames entry via id 
game = mobygames["1564"]
print(game["title"])

The reader class returns game entries in the dataset with the following information:

  • "id"
  • "title"
  • "alt_titles"
  • "platforms": standardized platform names
  • "raw": the complete dataset as a json dict

Authors

Copyright and License

GNU Affero General Public License

2019, 2020 Universitätsbibliothek Leipzig info@ub.uni-leipzig.de

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Fetch tool for video game meta data from various sources. Writes fetched data into a zip archive.

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