[add] made auxiliar methods for Tensor Reply processing public

Author: filipecosta90

coverage.txt

@@ -1,4 +1,102 @@
 mode: atomic
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@@ -112,101 +210,3 @@ github.com/RedisAI/redisai-go/redisai/client.go:341.2,341.8 1 40
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examples/redisai_pipelined_client/main.go

@@ -40,7 +40,7 @@ func main() {
 	if err != nil {
 		log.Fatal(err)
 	}
-	foo2TensorMeta, err := client.Receive()
+	foo2TensorMeta, err := redisai.ProcessTensorReplyMeta(client.Receive())
 	if err != nil {
 		log.Fatal(err)
 	}

redisai/client.go

@@ -118,12 +118,12 @@ func (c *Client) TensorGet(name string, ct TensorContentType) (data []interface{
 		err = c.SendAndIncr("AI.TENSORGET", args)
 	} else {
 		resp, err := c.ActiveConn.Do("AI.TENSORGET", args...)
-		data, err = processTensorReplyMeta(resp, err)
+		data, err = ProcessTensorReplyMeta(resp, err)
 		switch ct {
 		case TensorContentTypeBlob:
-			data, err = processTensorReplyBlob(data, err)
+			data, err = ProcessTensorReplyBlob(data, err)
 		case TensorContentTypeValues:
-			data, err = processTensorReplyValues(data, err)
+			data, err = ProcessTensorReplyValues(data, err)
 		default:
 			err = fmt.Errorf("redisai.TensorGet: Unrecognized TensorContentType. Expected '%s' or '%s', got '%s'", TensorContentTypeBlob,TensorContentTypeValues, ct)
 		}

redisai/common.go

@@ -179,7 +179,7 @@ func replyDataType(reply interface{}, err error) (dt DataType, outputErr error)
 	return "", fmt.Errorf("redisai-go: unexpected type for replyDataType, got type %T", reply)
 }
 
-func processTensorReplyMeta(resp interface{}, err error) (data []interface{}, outErr error) {
+func ProcessTensorReplyMeta(resp interface{}, err error) (data []interface{}, outErr error) {
 	data, outErr = redis.Values(resp, err)
 	if len(data) < 2 {
 		err = fmt.Errorf("redisai.TensorGet: AI.TENSORGET returned response with incorrect sizing. expected at least '%d' got '%d'", 2, len(data))
@@ -190,7 +190,7 @@ func processTensorReplyMeta(resp interface{}, err error) (data []interface{}, ou
 	return data, outErr
 }
 
-func processTensorReplyBlob(resp []interface{}, err error) ([]interface{}, error) {
+func ProcessTensorReplyBlob(resp []interface{}, err error) ([]interface{}, error) {
 	if len(resp) < 3 {
 		err = fmt.Errorf("redisai.TensorGet: AI.TENSORGET returned response with incorrect sizing. expected '%d' got '%d'", 3, len(resp))
 		return resp, err
@@ -199,7 +199,7 @@ func processTensorReplyBlob(resp []interface{}, err error) ([]interface{}, error
 	return resp, err
 }
 
-func processTensorReplyValues(resp []interface{}, err error) ([]interface{}, error) {
+func ProcessTensorReplyValues(resp []interface{}, err error) ([]interface{}, error) {
 	if len(resp) < 3 {
 		err = fmt.Errorf("redisai.TensorGet: AI.TENSORGET returned response with incorrect sizing. expected '%d' got '%d'", 3, len(resp))
 		return resp, err

redisai/common_test.go

@@ -367,13 +367,13 @@ func Test_processTensorReplyBlob(t *testing.T) {
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			got, err := processTensorReplyBlob(tt.args.resp, tt.args.err)
+			got, err := ProcessTensorReplyBlob(tt.args.resp, tt.args.err)
 			if (err != nil) != tt.wantErr {
-				t.Errorf("processTensorReplyBlob() error = %v, wantErr %v", err, tt.wantErr)
+				t.Errorf("ProcessTensorReplyBlob() error = %v, wantErr %v", err, tt.wantErr)
 				return
 			}
 			if !reflect.DeepEqual(got, tt.want) {
-				t.Errorf("processTensorReplyBlob() got = %v, want %v", got, tt.want)
+				t.Errorf("ProcessTensorReplyBlob() got = %v, want %v", got, tt.want)
 			}
 		})
 	}
@@ -394,13 +394,13 @@ func Test_processTensorReplyMeta(t *testing.T) {
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			gotData, err := processTensorReplyMeta(tt.args.resp, tt.args.err)
+			gotData, err := ProcessTensorReplyMeta(tt.args.resp, tt.args.err)
 			if (err != nil) != tt.wantErr {
-				t.Errorf("processTensorReplyMeta() error = %v, wantErr %v", err, tt.wantErr)
+				t.Errorf("ProcessTensorReplyMeta() error = %v, wantErr %v", err, tt.wantErr)
 				return
 			}
 			if !reflect.DeepEqual(gotData, tt.wantData) {
-				t.Errorf("processTensorReplyMeta() gotData = %v, want %v", gotData, tt.wantData)
+				t.Errorf("ProcessTensorReplyMeta() gotData = %v, want %v", gotData, tt.wantData)
 			}
 		})
 	}
@@ -421,13 +421,13 @@ func Test_processTensorReplyValues(t *testing.T) {
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			got, err := processTensorReplyValues(tt.args.resp, tt.args.err)
+			got, err := ProcessTensorReplyValues(tt.args.resp, tt.args.err)
 			if (err != nil) != tt.wantErr {
-				t.Errorf("processTensorReplyValues() error = %v, wantErr %v", err, tt.wantErr)
+				t.Errorf("ProcessTensorReplyValues() error = %v, wantErr %v", err, tt.wantErr)
 				return
 			}
 			if !reflect.DeepEqual(got, tt.want) {
-				t.Errorf("processTensorReplyValues() got = %v, want %v", got, tt.want)
+				t.Errorf("ProcessTensorReplyValues() got = %v, want %v", got, tt.want)
 			}
 		})
 	}