Skip to main content

How to Filter multi-select values in nested array of objects

Please find the demo link. https://codesandbox.io/s/agitated-dubinsky-t0hcn?file=/src/nestead-table/index.js

I am not able to filter multi-valued selected items in JSON data.

this is the data we are passing.

   const jsonData = [
  {
    isMaster: false,
    selected: false,
    ID: 0,
    "Profile Type": "Line of Business",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 0.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating": "Not Assessed",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 0.2,
            "Control Classification": "Key",
            "Control Effectiveness Rating": "Partially Effective"
          },
          {
            isMaster: false,
            selected: false,
            ID: 0.21,
            "Control Classification": "Compensating",
            "Control Effectiveness Rating": "Partially Effective"
          }
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 0.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Insignificant",
          Control: [
            {
              isMaster: false,
              selected: false,
              ID: 0.12,
              "Control Classification": "Arrangement",
              "Control Effectiveness Rating": "Partially Effective"
            },
            {
              isMaster: false,
              selected: false,
              ID: 0.13,
              "Control Classification": "Compensating",
              "Control Effectiveness Rating": "Effective"
            }
          ]
      }
    ]
  },
  {
    isMaster: false,
    selected: false,
    ID: 1,
    "Profile Type": "Business Unit (BU) / Support Unit (SU)",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 1.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating": "Low",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 1.2,
            "Control Classification": "key",
            "Control Effectiveness Rating": "Partially Effective"
          },
          {
            isMaster: false,
            selected: false,
            ID: 1.21,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Partially Effective"
          },
          {
            isMaster: false,
            selected: false,
            ID: 1.22,
            "Control Classification": "key",
            "Control Effectiveness Rating": "Effective"
          },
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 1.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Medium",
      }
    ]
  },
  {
    isMaster: false,
    selected: false,
    ID: 2,
    Name: "0940375C025200FAA38ED98A F9DE03D61ADAB727BA8C26D4",
    "Business Profile Owner": "Susheel",
    Folder: "CBA / Audit",
    "Profile Type": "Business Profile Instances",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 2.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating": "High",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 2.2,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Determined"
          },
          {
            isMaster: false,
            selected: false,
            ID: 2.21,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Tested"
          }
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 2.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "very High",
      }
    ]
  },
  {
    isMaster: false,
    selected: false,
    ID: 3,
    "Profile Type": "Supplier",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 3.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Lindgren",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 3.2,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Tested"
          },
          {
            isMaster: false,
            selected: false,
            ID: 3.21,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Tested"
          }
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 3.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Lindgren",
      }
    ]
  },
];

on selecting multi-select input we will be getting the following data.

const selection1 =  [{name: "Business Unit (BU) / Support Unit (SU)", type: "bp", coloumn: "Profile Type"},

];

const selection2 =  [{name: "Business Unit (BU) / Support Unit (SU)", type: "bp", coloumn: "Profile Type"},
    {name: "Low", type: "risk", coloumn: "Overall Control Effectiveness Rating and Residual Risk Rating"},
    {name: "Key", type: "control", coloumn: "Control Classification"},
    {name: "Partially Effective", type: "control", coloumn: "Control Effectiveness Rating"}];

if selection1 is used then we should display all the object which matches the particular name from selection1 and the column is "Profile Type".

All the above sections will be dynamic. if the type is control or risk in the above sections they are sub Arrays of each object.

if selection2 is used then the following will be the output of it.

{
  isMaster: false,
  selected: false,
  ID: 1,
  "Profile Type": "Business Unit (BU) / Support Unit (SU)",
  Risk: [
    {
      isMaster: false,
      selected: false,
      ID: 1.1,
      "Overall Control Effectiveness Rating and Residual Risk Rating": "Low",
      Control: [
        {
          isMaster: false,
          selected: false,
          ID: 1.2,
          "Control Classification": "key",
          "Control Effectiveness Rating": "Partially Effective"
        }
      ]
    }
  ]
}

const jsonData = [
  {
    isMaster: false,
    selected: false,
    ID: 0,
    "Profile Type": "Line of Business",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 0.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating": "Not Assessed",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 0.2,
            "Control Classification": "Key",
            "Control Effectiveness Rating": "Partially Effective"
          },
          {
            isMaster: false,
            selected: false,
            ID: 0.21,
            "Control Classification": "Compensating",
            "Control Effectiveness Rating": "Partially Effective"
          }
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 0.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Insignificant",
          Control: [
            {
              isMaster: false,
              selected: false,
              ID: 0.12,
              "Control Classification": "Arrangement",
              "Control Effectiveness Rating": "Partially Effective"
            },
            {
              isMaster: false,
              selected: false,
              ID: 0.13,
              "Control Classification": "Compensating",
              "Control Effectiveness Rating": "Effective"
            }
          ]
      }
    ]
  },
  {
    isMaster: false,
    selected: false,
    ID: 1,
    "Profile Type": "Business Unit (BU) / Support Unit (SU)",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 1.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating": "Low",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 1.2,
            "Control Classification": "key",
            "Control Effectiveness Rating": "Partially Effective"
          },
          {
            isMaster: false,
            selected: false,
            ID: 1.21,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Partially Effective"
          },
          {
            isMaster: false,
            selected: false,
            ID: 1.22,
            "Control Classification": "key",
            "Control Effectiveness Rating": "Effective"
          },
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 1.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Medium",
      }
    ]
  },
  {
    isMaster: false,
    selected: false,
    ID: 2,
    Name: "0940375C025200FAA38ED98A F9DE03D61ADAB727BA8C26D4",
    "Business Profile Owner": "Susheel",
    Folder: "CBA / Audit",
    "Profile Type": "Business Profile Instances",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 2.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating": "High",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 2.2,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Determined"
          },
          {
            isMaster: false,
            selected: false,
            ID: 2.21,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Tested"
          }
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 2.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "very High",
      }
    ]
  },
  {
    isMaster: false,
    selected: false,
    ID: 3,
    "Profile Type": "Supplier",
    Risk: [
      {
        isMaster: false,
        selected: false,
        ID: 3.1,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Lindgren",
        Control: [
          {
            isMaster: false,
            selected: false,
            ID: 3.2,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Tested"
          },
          {
            isMaster: false,
            selected: false,
            ID: 3.21,
            "Control Classification": "Arrangement",
            "Control Effectiveness Rating": "Not Tested"
          }
        ]
      },
      {
        isMaster: false,
        selected: false,
        ID: 3.11,
        "Overall Control Effectiveness Rating and Residual Risk Rating":
          "Lindgren",
      }
    ]
  },
];

const selectArray1 =   [{name: "Business Unit (BU) / Support Unit (SU)", type: "bp", coloumn: "Profile Type"},
{name: "Low", type: "risk", coloumn: "Overall Control Effectiveness Rating and Residual Risk Rating"},
{name: "Key", type: "control", coloumn: "Control Classification"},
{name: "Partially Effective", type: "control", coloumn: "Control Effectiveness Rating"}];
    
  
  const finalData = jsonData.forEach(function (item, index) {
     selectArray1.forEach(function (item1, index) {
     if(item1.name === item[item1.coloumn]) {
      console.log(item)
     }
    });
});

    
    
    
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/16.6.3/umd/react.production.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/16.6.3/umd/react-dom.production.min.js"></script>
Via Active questions tagged javascript - Stack Overflow https://ift.tt/2FdjaAW
Labels:

Comments

Post a Comment

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype
Post a Comment
Read more

How to split a rinex file if I need 24 hours data

Trying to divide rinex file using the command gfzrnx but getting this error. While doing that getting this error msg 'gfzrnx' is not recognized as an internal or external command Trying to split rinex file using the command gfzrnx. also install'gfzrnx'. my doubt is I need to run this program in 'gfzrnx' or in 'cmdprompt'. I am expecting a rinex file with 24 hrs or 1 day data.I Have 48 hrs data in RINEX format. Please help me to solve this issue. source https://stackoverflow.com/questions/75385367/how-to-split-a-rinex-file-if-i-need-24-hours-data
Post a Comment
Read more

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...
Post a Comment
Read more