update

test/test_js_dict_sender.js

@@ -118,7 +118,7 @@ async function test_dict_send() {
     // Use smartsend with dictionary type
     // For small Dictionary: will use direct transport (JSON encoded)
     // For large Dictionary: will use link transport (uploaded to fileserver)
-    const { env, msg_json_str } = await smartsend(
+    const { env, env_json_str } = await smartsend(
         SUBJECT,
         [data1, data2],
         {

test/test_js_file_sender.js

@@ -98,7 +98,7 @@ async function test_large_binary_send() {
     
     // Use smartsend with binary type - will automatically use link transport
     // if file size exceeds the threshold (1MB by default)
-    const { env, msg_json_str } = await smartsend(
+    const { env, env_json_str } = await smartsend(
         SUBJECT,
         [data1, data2],
         {

test/test_js_mix_payload_sender.js

@@ -222,7 +222,7 @@ async function test_mix_send() {
     ];
     
     // Use smartsend with mixed content
-    const { env, msg_json_str } = await smartsend(
+    const { env, env_json_str } = await smartsend(
         SUBJECT,
         payloads,
         {

test/test_js_table_sender.js

@@ -118,7 +118,7 @@ async function test_table_send() {
     // Use smartsend with table type
     // For small Table: will use direct transport (Arrow IPC encoded)
     // For large Table: will use link transport (uploaded to fileserver)
-    const { env, msg_json_str } = await smartsend(
+    const { env, env_json_str } = await smartsend(
         SUBJECT,
         [data1, data2],
         {

test/test_js_text_sender.js

@@ -94,7 +94,7 @@ async function test_text_send() {
     // Use smartsend with text type
     // For small text: will use direct transport (Base64 encoded UTF-8)
     // For large text: will use link transport (uploaded to fileserver)
-    const { env, msg_json_str } = await smartsend(
+    const { env, env_json_str } = await smartsend(
         SUBJECT,
         [data1, data2],
         {

test/test_julia_dict_sender.jl

@@ -92,7 +92,7 @@ function test_dict_send()
     # Use smartsend with dictionary type
     # For small Dictionary: will use direct transport (JSON encoded)
     # For large Dictionary: will use link transport (uploaded to fileserver)
-    env, msg_json = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
         nats_url = NATS_URL,

test/test_julia_file_sender.jl

@@ -79,7 +79,7 @@ function test_large_binary_send()
     # Use smartsend with binary type - will automatically use link transport
     # if file size exceeds the threshold (1MB by default)
     # API: smartsend(subject, [(dataname, data, type), ...]; keywords...)
-    env, msg_json = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
         nats_url = NATS_URL;

test/test_julia_mix_payloads_sender.jl

@@ -186,7 +186,7 @@ function test_mix_send()
     ]
     
     # Use smartsend with mixed content
-    env, msg_json = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         payloads;  # List of (dataname, data, type) tuples
         nats_url = NATS_URL,

test/test_julia_table_sender.jl

@@ -90,7 +90,7 @@ function test_table_send()
     # Use smartsend with table type
     # For small DataFrame: will use direct transport (Base64 encoded Arrow IPC)
     # For large DataFrame: will use link transport (uploaded to fileserver)
-    env, msg_json = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
         nats_url = NATS_URL,

test/test_julia_text_sender.jl

@@ -75,7 +75,7 @@ function test_text_send()
     # Use smartsend with text type
     # For small text: will use direct transport (Base64 encoded UTF-8)
     # For large text: will use link transport (uploaded to fileserver)
-    env, msg_json = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
         nats_url = NATS_URL,

test/test_micropython_dict_sender.py

@@ -64,7 +64,7 @@ def main():
     log_trace(correlation_id, f"Correlation ID: {correlation_id}")
     
     # Use smartsend with dictionary type
-    env, msg_json = smartsend(
+    env, env_json_str = smartsend(
         SUBJECT,
         [data1, data2],  # List of (dataname, data, type) tuples
         nats_url=NATS_URL,

test/test_micropython_file_sender.py

@@ -44,7 +44,7 @@ def main():
     log_trace(correlation_id, f"Correlation ID: {correlation_id}")
     
     # Use smartsend with binary type
-    env, msg_json = smartsend(
+    env, env_json_str = smartsend(
         SUBJECT,
         [data1, data2],  # List of (dataname, data, type) tuples
         nats_url=NATS_URL,

test/test_micropython_mixed_sender.py

@@ -58,7 +58,7 @@ def main():
     log_trace(correlation_id, f"Correlation ID: {correlation_id}")
     
     # Use smartsend with mixed types
-    env, msg_json = smartsend(
+    env, env_json_str = smartsend(
         SUBJECT,
         data,  # List of (dataname, data, type) tuples
         nats_url=NATS_URL,

test/test_micropython_text_sender.py

@@ -46,7 +46,7 @@ def main():
     # Use smartsend with text type
     # For small text: will use direct transport (Base64 encoded UTF-8)
     # For large text: will use link transport (uploaded to fileserver)
-    env, msg_json = smartsend(
+    env, env_json_str = smartsend(
         SUBJECT,
         [data1, data2],  # List of (dataname, data, type) tuples
         nats_url=NATS_URL,