Getting Started & Installation

$ nuget install SkylabStudio

$ $ pip install skylab_studio

using Skylabstudio;

var apiClient = new StudioClient("YOUR_SKYLAB_API_TOKEN");

import skylab_studio

api = skylab_studio.api(api_key='YOUR-API-KEY')

// Example Job Processing Flow with Callback

// CREATE PROFILE
dynamic profile = await apiClient.CreateProfile(new { name = $"Test Profile", enable_crop = false, enable_color = true });

// CREATE JOB
var jobName = $"test-job";
dynamic job = await apiClient.CreateJob(new { name = jobName, profile_id = profile.id.Value });

// UPLOAD PHOTO
string filePath = "/path/to/photo";
dynamic res = await apiClient.UploadPhoto(filePath, "job", job.id.Value);

// QUEUE JOB
dynamic queuedJob = await apiClient.QueueJob(job.id.Value, new { callback_url = "YOUR_CALLBACK_ENDPOINT" });

// NOTE: Once the job is queued, it will get processed then complete
// We will send a response to the specified callback_url with the output photo download urls

# CREATE PROFILE
payload = {
  "name": "profile name",
}

api.create_profile(payload=payload)

# CREATE JOB
payload={
  "name": "job name",
  "profile_id": profile_id
}

job = api.create_job(payload)

# UPLOAD PHOTO
filePath = "/path/to/photo"
api.upload_job_photo(filePath, job.id)

# QUEUE JOB
payload = { "callback_url" = "YOUR_CALLBACK_ENDPOINT" }
api.queue_job(job.id, payload)

# NOTE: Once the job is queued, it will get processed then complete
# We will send a response to the specified callback_url with the output photo download urls