/// <summary>
/// return an index page according to the inputs
/// </summary>
/// <returns></returns>
public ActionResult IndexWithInputs()
{
dynamic obj = GetJsonObject(Request.InputStream);
// retrieve the quant
QuantizationFactorsArray quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
EntropyAlgorithm algorithm = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
_viewModel = new RFXDecodeViewModel();
// Updates parameters
((RFXDecodeViewModel)_viewModel).ProvideParam(quantArray, algorithm);
Triplet <string> triplet = JsonHelper.RetrieveTriplet(obj.Inputs);
((RFXDecodeViewModel)_viewModel).ProvidePanelInputs(triplet.ToArray());
var envValues = new Dictionary <string, object>()
{
{ ModelKey, _viewModel },
{ isModelValid, true }
};
SaveToSession(envValues);
return(new HttpStatusCodeResult(HttpStatusCode.OK));
}
public ActionResult Decode()
{
dynamic obj = GetJsonObject(Request.InputStream);
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
string decOrHex = (string)obj.Params.DecOrHex;
Tile tile = null;
if (decOrHex.Equals("hex"))
{
tile = Tile.FromStrings(new Triplet <string>(
obj.Inputs.Y, obj.Inputs.Cb, obj.Inputs.Cr),
new HexTileSerializer());
}
else
{
tile = Tile.FromStrings(new Triplet <string>(
obj.Inputs.Y, obj.Inputs.Cb, obj.Inputs.Cr),
new IntegerTileSerializer());
}
_codecAction.DoAction(tile);
return(new HttpStatusCodeResult(HttpStatusCode.OK));
}
public async Task <IActionResult> IndexWithInputs()
{
try
{
using (var bodyStream = new StreamReader(Request.Body))
{
var bodyText = await bodyStream.ReadToEndAsync();
dynamic obj = JsonConvert.DeserializeObject(bodyText);
// retrieve the quant
QuantizationFactorsArray quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
EntropyAlgorithm algorithm = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
_viewModel = new RFXDecodeViewModel();
// Updates parameters
((RFXDecodeViewModel)_viewModel).ProvideParam(quantArray, algorithm);
Triplet <string> triplet = JsonHelper.RetrieveTriplet(obj.Inputs);
((RFXDecodeViewModel)_viewModel).ProvidePanelInputs(triplet.ToArray());
var envValues = new Dictionary <string, object>()
{
{ ModelKey, _viewModel },
{ isModelValid, true }
};
SaveToSession(envValues);
}
return(Json(ReturnResult <string> .Success("Success")));
}
catch (Exception ex)
{
return(Json(ReturnResult <string> .Fail(ex.Message)));
}
}
public async Task <IActionResult> Encode()
{
try
{
using (var bodyStream = new StreamReader(Request.Body))
{
var bodyText = await bodyStream.ReadToEndAsync();
dynamic obj = JsonConvert.DeserializeObject(bodyText);
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
// TODO: error handle
var encodeImagePath = this.HttpContext.Session.Get <string>(EncodedImage);
if (string.IsNullOrEmpty(encodeImagePath))
{
throw new FileNotFoundException("No image found, image size should less than 1MB, please check and try again.");
}
var tile = Tile.FromFile(encodeImagePath);
_codecAction.DoAction(tile);
return(Json(ReturnResult <string> .Success("Success")));
}
}
catch (Exception ex)
{
return(Json(ReturnResult <string> .Fail(ex.Message)));
}
}
public async Task <IActionResult> Encode()
{
try
{
using (var bodyStream = new StreamReader(Request.Body))
{
var bodyText = await bodyStream.ReadToEndAsync();
dynamic obj = JsonConvert.DeserializeObject(bodyText);
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
// retrive the progressive quants
var progQuantList = new List <QuantizationFactorsArray>();
foreach (var layer in obj.Params.ProgQuantizationArray)
{
var layerQuants = JsonHelper.RetrieveQuantsArray(layer);
progQuantList.Add(layerQuants);
}
var progQuantarray = new ProgressiveQuantizationFactors
{
ProgQuants = progQuantList
};
_codecAction.Parameters[Constants.PARAM_NAME_PROGRESSIVE_QUANT_LIST] = progQuantarray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
_codecAction.Parameters[Constants.PARAM_NAME_USE_REDUCE_EXTRAPOLATE] = JsonHelper.CastTo <UseReduceExtrapolate>(obj.Params.UseReduceExtrapolate);
// TODO: error handle
var preFramePath = this.HttpContext.Session.Get <string>(PreviousFrameImage);
Frame preFrame = Utility.GetPreviousFrame(preFramePath, _codecAction.Parameters);
var encodeImagePath = this.HttpContext.Session.Get <string>(EncodedImage);
var tile = Tile.FromFile(encodeImagePath);
ICodecAction diffing = _codecAction.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PENCODE_NAME_SUBBANDDIFFING));
diffing.Parameters[Constants.PARAM_NAME_PREVIOUS_FRAME] = preFrame;
_codecAction.DoAction(new[] { tile });
}
return(Json(ReturnResult <string> .Success("Success")));
}
catch (Exception ex)
{
return(Json(ReturnResult <string> .Fail(ex.Message)));
}
}
public ActionResult IndexWithInputs()
{
dynamic obj = GetJsonObject(Request.InputStream);
foreach (var input in obj)
{
// TODO: refine this
if (input != null && input.Inputs != null)
{
int layer = JsonHelper.CastTo <int>(input.Layer);
if (layer == 0)
{
// TODO: refine this
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(input.Params.QuantizationFactorsArray);
// retrive the progressive quants
var progQuantList = new List <QuantizationFactorsArray>();
foreach (var layerQuant in input.Params.ProgQuantizationArray)
{
var layerQuants = JsonHelper.RetrieveQuantsArray(layerQuant);
progQuantList.Add(layerQuants);
}
var progQuantarray = new ProgressiveQuantizationFactors
{
ProgQuants = progQuantList
};
EntropyAlgorithm algorithm = JsonHelper.CastTo <EntropyAlgorithm>(input.Params.EntropyAlgorithm);
UseDifferenceTile useDifferenceTile = JsonHelper.CastTo <UseDifferenceTile>(input.Params.UseDifferenceTile);
UseReduceExtrapolate useReduceExtrapolate = JsonHelper.CastTo <UseReduceExtrapolate>(input.Params.UseReduceExtrapolate);
_viewModel = new RFXPDecodeViewModel(0);
((RFXPDecodeViewModel)_viewModel).ProvideParam(quantArray, progQuantarray, algorithm, useDifferenceTile, useReduceExtrapolate);
((RFXPDecodeViewModel)_viewModel).ProvidePanelInputs(layer, input.Inputs[0], input.Inputs[1], input.Inputs[2]);
Session[ModelKey] = _viewModel;
Session[isPreFrameValid] = true;
}
Decode(input);
// Updates Decode Status
UpdateDecodeStatus(layer);
}
}
Session[IsValid] = true;
return(new HttpStatusCodeResult(HttpStatusCode.OK));
}
public async Task <IActionResult> Decode()
{
try
{
using (var bodyStream = new StreamReader(Request.Body))
{
var bodyText = await bodyStream.ReadToEndAsync();
dynamic obj = (JObject)JsonConvert.DeserializeObject(bodyText);
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
string decOrHex = (string)obj.Params.DecOrHex;
Tile tile = null;
JObject jsonInputs = JObject.Parse(obj["Inputs"].ToString());
dynamic objInputs = JsonConvert.DeserializeObject(jsonInputs.ToString());
string y = jsonInputs["Y"].ToString();
string cb = jsonInputs["Cb"].ToString();
string cr = jsonInputs["Cr"].ToString();
if (decOrHex.Equals("hex"))
{
tile = Tile.FromStrings(new Triplet <string>(y, cb, cr),
new HexTileSerializer());
}
else
{
tile = Tile.FromStrings(new Triplet <string>(y, cb, cr),
new IntegerTileSerializer());
}
_codecAction.DoAction(tile);
return(Json(ReturnResult <string> .Success("Success")));
}
}
catch (Exception ex)
{
return(Json(ReturnResult <string> .Fail(ex.Message)));
}
}
public ActionResult Encode()
{
dynamic obj = GetJsonObject(Request.InputStream);
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
// retrive the progressive quants
var progQuantList = new List <QuantizationFactorsArray>();
foreach (var layer in obj.Params.ProgQuantizationArray)
{
var layerQuants = JsonHelper.RetrieveQuantsArray(layer);
progQuantList.Add(layerQuants);
}
var progQuantarray = new ProgressiveQuantizationFactors
{
ProgQuants = progQuantList
};
_codecAction.Parameters[Constants.PARAM_NAME_PROGRESSIVE_QUANT_LIST] = progQuantarray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
_codecAction.Parameters[Constants.PARAM_NAME_USE_REDUCE_EXTRAPOLATE] = JsonHelper.CastTo <UseReduceExtrapolate>(obj.Params.UseReduceExtrapolate);
// TODO: error handle
var preFramePath = (string)Session[PreviousFrameImage];
Frame preFrame = Utility.GetPreviousFrame(preFramePath, _codecAction.Parameters);
var encodeImagePath = (string)Session[EncodedImage];
var tile = Tile.FromFile(encodeImagePath);
ICodecAction diffing = _codecAction.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PENCODE_NAME_SUBBANDDIFFING));
diffing.Parameters[Constants.PARAM_NAME_PREVIOUS_FRAME] = preFrame;
_codecAction.DoAction(new[] { tile });
return(new HttpStatusCodeResult(HttpStatusCode.OK));
}
public ActionResult Encode()
{
dynamic obj = GetJsonObject(Request.InputStream);
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
// TODO: error handle
var encodeImagePath = (string)Session[EncodedImage];
var tile = Tile.FromFile(encodeImagePath);
_codecAction.DoAction(tile);
return(new HttpStatusCodeResult(HttpStatusCode.OK));
}
public virtual ActionResult Recompute([FromBody] RecomputeRequest request)
{
// gets the action with the same name as the argument
var action = _codecAction.SubActions.FirstOrDefault(c => c.Name.Equals(request.Action));
// if action not found
if (action == null)
{
return(Json(ReturnResult <string> .Fail("Action not found")));
}
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(request.Params.QuantizationFactorsArray);
foreach (var _action in _codecAction.SubActions)
{
_action.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
_action.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(request.Params.EntropyAlgorithm);
}
// retrive tiles from Inputs
var tileList = new List <Tile>();
foreach (var tileJson in request.Inputs)
{
Triplet <string> triplet = JsonHelper.RetrieveTriplet(tileJson);
string dataFormat = request.Params.UseDataFormat;
Tile tile = null;
if (dataFormat.Equals(Constants.DataFormat.HEX))
{
tile = Tile.FromStrings(triplet, new HexTileSerializer());
}
else
{
tile = Tile.FromStrings(triplet, new IntegerTileSerializer());
}
if (dataFormat.Equals(Constants.DataFormat.FixedPoint_11_5))
{
tile.RightShift(5);
}
if (dataFormat.Equals(Constants.DataFormat.FixedPoint_12_4))
{
tile.RightShift(4);
}
tileList.Add(tile);
}
var result = action.DoAction(tileList.FirstOrDefault());
// recompute the following steps and update
bool following = false;
Tile input = result;
foreach (var act in _codecAction.SubActions)
{
if (following)
{
result = act.DoAction(input);
input = result;
}
else
{
if (act.Name.Equals(request.Action))
{
following = true;
}
}
}
return(Json(ReturnResult <string> .Success("Success")));
}
public override ActionResult Recompute()
{
// TODO: Add parameters obtain into a function
dynamic obj = GetJsonObject(Request.InputStream);
string name = JsonHelper.CastTo <string>(obj.Action);
// gets the action with the same name as the argument
var action = _codecAction.SubActions.SingleOrDefault(c => c.Name.Equals(name));
// if action not found
if (action == null)
{
return(new HttpStatusCodeResult(HttpStatusCode.NotFound));
}
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_codecAction.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
// retrive the progressive quants
var progQuantList = new List <QuantizationFactorsArray>();
foreach (var layer in obj.Params.ProgQuantizationArray)
{
var layerQuants = JsonHelper.RetrieveQuantsArray(layer);
progQuantList.Add(layerQuants);
}
var progQuantarray = new ProgressiveQuantizationFactors
{
ProgQuants = progQuantList
};
_codecAction.Parameters[Constants.PARAM_NAME_PROGRESSIVE_QUANT_LIST] = progQuantarray;
_codecAction.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
_codecAction.Parameters[Constants.PARAM_NAME_USE_REDUCE_EXTRAPOLATE] = JsonHelper.CastTo <UseReduceExtrapolate>(obj.Params.UseReduceExtrapolate);
// TODO: error handle
var preFramePath = (string)Session[PreviousFrameImage];
Frame preFrame = Utility.GetPreviousFrame(preFramePath, _codecAction.Parameters);
ICodecAction diffing = _codecAction.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PENCODE_NAME_SUBBANDDIFFING));
diffing.Parameters[Constants.PARAM_NAME_PREVIOUS_FRAME] = preFrame;
// retrive tiles from Inputs
var tileList = new List <Tile>();
foreach (var tileJson in obj.Inputs)
{
Triplet <string> triplet = JsonHelper.RetrieveTriplet(tileJson);
string dataFormat = obj.Params.UseDataFormat;
Tile tile = null;
if (dataFormat.Equals(Constants.DataFormat.HEX))
{
tile = Tile.FromStrings(triplet, new HexTileSerializer());
}
else
{
tile = Tile.FromStrings(triplet, new IntegerTileSerializer());
}
if (dataFormat.Equals(Constants.DataFormat.FixedPoint_11_5))
{
tile.RightShift(5);
}
if (dataFormat.Equals(Constants.DataFormat.FixedPoint_12_4))
{
tile.RightShift(4);
}
tileList.Add(tile);
}
var result = action.DoAction(tileList.ToArray());
// recompute the following steps and update
bool following = false;
Tile[] input = result;
foreach (var act in _codecAction.SubActions)
{
if (following)
{
result = act.DoAction(input);
input = result;
}
else
{
if (act.Name.Equals(name))
{
following = true;
}
}
}
// TODO: recompute the following steps and update
return(new HttpStatusCodeResult(HttpStatusCode.OK));
}
private ICodecAction GetDecoderWithParameters(dynamic obj)
{
ICodecAction _rfxPDecode = new RFXPDecode();
int layer = JsonHelper.CastTo <int>(obj.Layer);
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(obj.Params.QuantizationFactorsArray);
_rfxPDecode.Parameters[Constants.PARAM_NAME_QUANT_FACTORS_ARRAY] = quantArray;
// retrive the progressive quants
var progQuantList = new List <QuantizationFactorsArray>();
foreach (var layerQuant in obj.Params.ProgQuantizationArray)
{
var layerQuants = JsonHelper.RetrieveQuantsArray(layerQuant);
progQuantList.Add(layerQuants);
}
var progQuantarray = new ProgressiveQuantizationFactors
{
ProgQuants = progQuantList
};
_rfxPDecode.Parameters[Constants.PARAM_NAME_PROGRESSIVE_QUANT_LIST] = progQuantarray;
_rfxPDecode.Parameters[Constants.PARAM_NAME_ENTROPY_ALGORITHM] = JsonHelper.CastTo <EntropyAlgorithm>(obj.Params.EntropyAlgorithm);
_rfxPDecode.Parameters[Constants.PARAM_NAME_USE_DIFFERENCE_TILE] = JsonHelper.CastTo <UseDifferenceTile>(obj.Params.UseDifferenceTile);
_rfxPDecode.Parameters[Constants.PARAM_NAME_USE_REDUCE_EXTRAPOLATE] = JsonHelper.CastTo <UseReduceExtrapolate>(obj.Params.UseReduceExtrapolate);
if (layer == 0)
{
// Session used to store DAS and previous codec
Tile DAS = Tile.FromArrays <short>(new Triplet <short[]>(
new short[Tile.TileSize * Tile.TileSize],
new short[Tile.TileSize * Tile.TileSize],
new short[Tile.TileSize * Tile.TileSize])
);
Dictionary <int, ICodecAction> CodecActionDic = new Dictionary <int, ICodecAction>();
Session[ConstantDAS] = DAS;
Session[ConstantCodecActionDic] = CodecActionDic;
Session[ConstantDASDic] = new Dictionary <int, Tile>();
// TODO: error handle
var preFramePath = (string)Session[PreviousFrameImage];
Frame preFrame = Utility.GetPreviousFrame(preFramePath, _rfxPDecode.Parameters);
Session[DecodePreviousFrame] = preFrame;
Session[PreviousFrameDic] = new Dictionary <int, Frame>();
}
// TODO: deal with null
// Add current codecAction in the session
Dictionary <int, ICodecAction> SessionCodecActionDic = (Dictionary <int, ICodecAction>)Session[ConstantCodecActionDic];
SessionCodecActionDic[layer] = _rfxPDecode;
var EncodeType = layer == 0 ? CodecToolSet.Core.EncodedTileType.EncodedType.FirstPass : CodecToolSet.Core.EncodedTileType.EncodedType.UpgradePass;
ICodecAction rlgrSRLDecode = _rfxPDecode.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PDECODE_NAME_RLGRSRLDECODE));
rlgrSRLDecode.Parameters[Constants.PARAM_NAME_ENCODED_TILE_TYPE] = new CodecToolSet.Core.EncodedTileType {
Type = EncodeType
};
QuantizationFactorsArray progQuant = progQuantarray.ProgQuants[layer];
ICodecAction progDeQuantization = _rfxPDecode.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PDECODE_NAME_PROGRESSIVEDEQUANTIZATION));
progDeQuantization.Parameters[Constants.PARAM_NAME_PROGRESSIVE_QUANTS] = progQuant;
ICodecAction subbandDiffing = _rfxPDecode.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PDECODE_NAME_SUBBANDDIFFING));
Frame preframe = (Frame)Session[DecodePreviousFrame];
subbandDiffing.Parameters[Constants.PARAM_NAME_PREVIOUS_FRAME] = preframe;
subbandDiffing.Parameters[Constants.PARAM_NAME_ENCODED_TILE_TYPE] = new CodecToolSet.Core.EncodedTileType {
Type = EncodeType
};
ICodecAction DeQuantization = _rfxPDecode.SubActions.SingleOrDefault(c => c.Name.Equals(Constants.PDECODE_NAME_DEQUANTIZATION));
// deal with some intermediate parameters
if (layer >= 1)
{
rlgrSRLDecode.Parameters[Constants.PARAM_NAME_DAS] = new Frame {
Tile = (Tile)Session[ConstantDAS]
};
rlgrSRLDecode.Parameters[Constants.PARAM_NAME_PREVIOUS_PROGRESSIVE_QUANTS] = progQuantarray.ProgQuants[layer - 1];
rlgrSRLDecode.Parameters[Constants.PARAM_NAME_PROGRESSIVE_QUANTS] = progQuantarray.ProgQuants[layer];
}
return(_rfxPDecode);
}
public async Task <IActionResult> IndexWithInputs()
{
try
{
using (var bodyStream = new StreamReader(Request.Body))
{
var bodyText = await bodyStream.ReadToEndAsync();
dynamic obj = JsonConvert.DeserializeObject(bodyText);
foreach (var input in obj)
{
// TODO: refine this
if (input != null && input.Inputs != null)
{
int layer = JsonHelper.CastTo <int>(input.Layer);
if (layer == 0)
{
// TODO: refine this
// retrieve the quant
var quantArray = JsonHelper.RetrieveQuantsArray(input.Params.QuantizationFactorsArray);
// retrive the progressive quants
var progQuantList = new List <QuantizationFactorsArray>();
foreach (var layerQuant in input.Params.ProgQuantizationArray)
{
var layerQuants = JsonHelper.RetrieveQuantsArray(layerQuant);
progQuantList.Add(layerQuants);
}
var progQuantarray = new ProgressiveQuantizationFactors
{
ProgQuants = progQuantList
};
EntropyAlgorithm algorithm = JsonHelper.CastTo <EntropyAlgorithm>(input.Params.EntropyAlgorithm);
UseDifferenceTile useDifferenceTile = JsonHelper.CastTo <UseDifferenceTile>(input.Params.UseDifferenceTile);
UseReduceExtrapolate useReduceExtrapolate = JsonHelper.CastTo <UseReduceExtrapolate>(input.Params.UseReduceExtrapolate);
_viewModel = new RFXPDecodeViewModel(0);
((RFXPDecodeViewModel)_viewModel).ProvideParam(quantArray, progQuantarray, algorithm, useDifferenceTile, useReduceExtrapolate);
JArray jsonInputs = JArray.Parse(input["Inputs"].ToString());
((RFXPDecodeViewModel)_viewModel).ProvidePanelInputs(layer, jsonInputs[0].TrimEnter(), jsonInputs[1].TrimEnter(), jsonInputs[2].TrimEnter());
this.HttpContext.Session.SetObject(ModelKey, _viewModel);
this.HttpContext.Session.SetObject(isPreFrameValid, true);
}
Decode(input);
// Updates Decode Status
await UpdateDecodeStatus(layer);
}
}
}
this.HttpContext.Session.SetObject(IsValid, true);
return(Json(ReturnResult <string> .Success("Success")));
}
catch (Exception ex)
{
return(Json(ReturnResult <string> .Fail(ex.Message)));
}
}
