Cranelift

The background job processing controller for ZhirOCR.

How to run

1. Open Cranelift.sln in Visual Studio 2019
2. Paste this in secrets.json:

{
  "ConnectionStrings": {
    "HangfireConnection": "Server=localhost;Database=zhir-hangfire;Uid=***;Pwd=***;Allow User Variables=True;CharSet=utf8;",
    "OcrConnection": "Server=localhost;Database=zhir-ocr;Uid=***;Pwd=***;CharSet=utf8;"
  },
  "Users": [
    {
      "Username": "muhammad",
      "Password": "***"
    },
    {
      "Username": "aram",
      "Password": "***"
    }
  ],
  "Storage": {
    "HostName": "https://ewr1.vultrobjects.com",
    "AccessKey": "***",
    "Secret": "***",
    "BucketName": "zhir-ocr"
  },
  "Email": {
    "FromAddress": "zhir.company.io@gmail.com",
    "Password": "***",
    "Host": "smtp.gmail.com",
    "Port": 587
  },
  "FastPay": {
  "Password": "******",
  "DeviceId": "****",
  "AppId": "***",
  "Number": "+9647507665935",
  "IntervalMinMinutes": 10,
  "IntervalMaxMinutes": 40
  },
  "Sentry": {
    "Dsn": "https://*****.ingest.sentry.io/*****",
    "IncludeRequestPayload": true,
    "SendDefaultPii": true,
    "MinimumBreadcrumbLevel": "Debug",
    "MinimumEventLevel": "Warning",
    "AttachStackTrace": true,
    "Debug": false,
    "DiagnosticsLevel": "Error"
  }
}

Note: User password is plaintext.

3. Change the configuration in secrets.json to connect to development database and object storage.

4. Create an empty database for Hangfire called zhir-hangfire.

5. In Visual Studio 2019, use Kestrel to run Cranelift:

6. In Visual Studio 2019 press CTRL + F5 to run Cranelift

7. Browse to https://localhost:5001/

Dependencies

Ubuntu 20.04 LTS

While Zhir OCR is cross-platform, we have only tested it on Ubuntu 20.04.

Python3

sudo apt install python3-pip

Zhirpy Dependencies

pip3 install -r Dependencies/zhirpy/requirements.txt

Tesseract 5-alpha or better

sudo add-apt-repository ppa:alex-p/tesseract-ocr-devel
sudo apt-get update
sudo apt install tesseract-ocr

Read more about installing Tesseract here.