*detailed descriptions for each section and the meaning of the labels incoming
The follow is the JSON message structure that is streamed to EventHubs for the Microservice monitoring the health of the Raspberry Pi.
| Month | Description |
|---|---|
| Chip_temp | womp |
| Clock_rate | womp |
| Under_voltage_detected | womp |
| Arm_Freq_cap | womp |
| Currently_throttled | womp |
| Soft_limit_active | womp |
| Under_voltage_happened | womp |
| Arm_Freq_cap_occurred | womp |
| Throttling_occurred | womp |
| Soft_Temp_limit_occurred | womp |
| Core_volt | womp |
| disk_free_gb | womp |
| disk_total_gb | womp |
| disk_percent | womp |
| memory_available | womp |
| memory_total | womp |
| memory_load | womp |
| CPU_percent | womp |
{
"msg_timestamp": time,
"name": name,
"label": Tinyvgs,
"payload": {
"Chip_temp": {
"Chip_temp": float(payload_values["Chip_temp"]),
"measurement_timestamp": time},
"Clock_rate": {
"Clock_rate": float(payload_values["Clock_rate"]),
"measurement_timestamp": time},
"Under_voltage_detected": {
"Under_voltage_detected": int(payload_values["Under_voltage_detected"]),
"measurement_timestamp": time},
"Arm_Freq_cap": {
"Arm_Freq_cap": int(payload_values["Arm_Freq_cap"]),
"measurement_timestamp": time},
"Currently_throttled": {
"Currently_throttled": int(payload_values["Currently_throttled"]),
"measurement_timestamp": time},
"Soft_limit_active": {
"Soft_limit_active": int(payload_values["Soft_limit_active"]),
"measurement_timestamp": time},
"Under_voltage_happened": {
"Under_voltage_happened": int(payload_values["Under_voltage_happened"]),
"measurement_timestamp": time},
"Arm_Freq_cap_occurred": {
"Arm_Freq_cap_occurred": int(payload_values["Arm_Freq_cap_occurred"]),
"measurement_timestamp": time},
"Throttling_occurred": {
"Throttling_occurred": int(payload_values["Throttling_occurred"]),
"measurement_timestamp": time},
"Soft_Temp_limit_occurred": {
"Soft_Temp_limit_occurred": int(payload_values["Soft_Temp_limit_occurred"]),
"measurement_timestamp": time},
"Core_volt": {
"Core_volt": float(payload_values["Core_volt"]),
"measurement_timestamp": time},
"disk_free_gb": {
"disk_free_gb": float(payload_values["disk_free_gb"]),
"measurement_timestamp": time},
"disk_total_gb": {
"disk_total_gb": float(payload_values["disk_total_gb"]),
"measurement_timestamp": time},
"disk_percent": {
"disk_percent": float(payload_values["disk_percent"]),
"measurement_timestamp": time},
"memory_available": {
"memory_available": float(payload_values["memory_available"]),
"measurement_timestamp": time},
"memory_total": {
"memory_total": float(payload_values["memory_total"]),
"measurement_timestamp": time},
"memory_load": {
"memory_load": float(payload_values["memory_load"]),
"measurement_timestamp": time},
"CPU_percent": {
"CPU_percent": float(payload_values["CPU_percent"]),
"measurement_timestamp": time},
},
}The follow is the JSON message structure that is streamed to EventHubs for the Microservice monitoring the health of the GOES Receive chain.
{
"msg_timestamp": time,
"name": name,
"label": "Tinyvgs",
"payload": {
"Receiver Gain": {
"healthStatus": "good",
"Gain": float(payload_values["gain"]),
"measurement_timestamp": time},
"Frequency Value": {
"healthStatus": "good",
"Frequency": float(payload_values["freq"]),
"measurement_timestamp": time},
"Omega Value": {
"healthStatus": "good",
"Omega": float(payload_values["omega"]),
"measurement_timestamp": time},
"Vit Value": {
"healthStatus": "good",
"Vit": float(payload_values["vit"]),
"measurement_timestamp": time},
"RS Value": {
"healthStatus": "good",
"RS": float(payload_values["rs"]),
"measurement_timestamp": time},
"Skipped": {
"healthStatus": "good",
"Skipped": float(payload_values["skipped"]),
"measurement_timestamp": time},
"Ok": {
"healthStatus": "good",
"Ok": float(payload_values["ok"]),
"measurement_timestamp": time},
},
}