.. | ||
add_level.py | ||
add_user.js | ||
csv_level_to_db.py | ||
csv_vocab_to_mongo.py | ||
generate_test_levels.py | ||
package-lock.json | ||
README.md |
Scripts
A few scripts to help with any task
csv_vocab_to_mongo.py
Parses the vocabulary files in $REPO_ROOT/data/vocab/
, converts the vocabulary items
into a format that fits the database model for vocabulary items (see backend/db.md
) and
writes the data into the MongoDB database.
NOTE: Requires pymongo
to be installed via pip
Usage
python csv_vocab_to_mongo.py <URI> <Database>
URI
: The URI of the MongoDB instanceDatabase
: The name of the database in the MongoDB instance
add_user.js
Asks the user about his data (username, password, class** and adds the user to the database.
NOTE: Requires mongodb
to be installed via npm
NOTE: This script is written in JavaScript, so we can ensure that the same pbkdf2 function is used to create the user and to hash the password later on.
Usage
node add_user.js <URI> <Database>
URI
: The URI of the MongoDB instanceDatabase
: The name of the database in the MongoDB instance
add_level.py
Asks about a new level to add
NOTE: Requires mongodb
to be installed via npm
Usage
URI
: The URI of the MongoDB instanceDatabase
: The name of the database in the MongoDB instance
generate_test_levels.py
Generates 10 levels with names and a description. The name and the description are generated using Markov Chains, while the Bee Movie script serves as data for the model.
Note: Requires mongodb
, markovify
to be installed via pip
Note: Requires the file bee-movie.txt
to be in the same folder as the script
Usage
URI
: The URI of the MongoDB instanceDatabase
: The name of the database in the MongoDB instance