HyGraph-Seeder

Is a simple Python script made to quickly upload data from a JSON file to a HyGraph model. It uses the default mutations created from the generated GraphQL API.

Considerations

Since it was intended for simple use, data can only be uploaded for one model at a time, although it should not be too difficult to extend it to several at once.

How to use it?

1. Set the environment variables following the example.env file. For this you need to get a Permanent Auth Token in the project settings and the Content API endpoint url.
2. Change the model_name variable in main.py for the name of your model in HyGraph.
3. Change the variable_types_path variable in main.py for the path of your JSON file with the model attribute types. This file needs to follow a format like the variableTypes.json file in the example folder:

// Example of variable types
{
  "name": "String!",
  "description": "String!",
  "objectives": "String!",
  "imgUrl": "String!"
}

4. The same as in the previous step, but this time with the data you want to upload to the HyGraph model. You can base it on the variablesData.json file in the example folder.

// Example of variable data. It needs to be an array
[
  {
    "name": "Autograph",
    "description": "You must complete a 3x3 board with the information of other people, this is achieved by beating them in a duel of cachipu00fan. If they beat you, you must write your data on their board.",
    "objectives": "Social interaction, getting to know a group of people, breaking the ice.",
    "imgUrl": "https://bitacoras-ljyr.s3.amazonaws.com/imagenes/1.png"
  },
  {
    "name": "Lotere of names",
    "description": "After the game 'Autograph', names are drawn at random among the players as in a bingo, and if we have the data of that person on our board, we mark it. Finally, the winner is the one who completes the board first.",
    "objectives": "Meet a group of people, break the ice.",
    "imgUrl": "https://bitacoras-ljyr.s3.amazonaws.com/imagenes/2.png"
  }
]

5. Run the main.py module.