5 Commits

Author SHA1 Message Date
cefe34c7bc sta: fix reconnect ap when ap lost
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-05 12:19:20 +09:00
388e75864a update readme
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-20 09:31:59 +09:00
b33db504a3 example: add .gitignore
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-20 09:08:32 +09:00
0765c47e4a example: add plot option
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-20 09:07:34 +09:00
e7d97c1d6f delete unuse partition
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-20 08:57:14 +09:00
8 changed files with 96 additions and 39 deletions

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@@ -78,3 +78,12 @@ sudo apt install nodejs npm nanopb
2. Check the serial monitor logs to find the IP address assigned to the device in STA mode, or the default AP address (usually `192.168.4.1`).
3. Open a web browser and navigate to the device's IP address.
4. You should now see the ODROID Remote control panel.
## Docs
- Hardkernel WiKi: [https://wiki.odroid.com/accessory/powermate](https://wiki.odroid.com/accessory/powermate)
## Repo
- Hardkernel Github: [https://github.com/hardkernel/odroid-powermate](https://github.com/hardkernel/odroid-powermate)
- Original Repo: [https://github.com/shinys000114/odroid-powermate](https://github.com/shinys000114/odroid-powermate)

5
example/logger/.gitignore vendored Normal file
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@@ -0,0 +1,5 @@
/.venv/
/venv/
status_pb2.py
test.csv
plot.png

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@@ -35,7 +35,7 @@ python3 logger.py -u admin -p password -o test.csv 192.168.30.5
#### Plot data
```shell
python3 csv_2_plot.py test.csv plot.png
python3 csv_2_plot.py test.csv plot.png [--type power voltage current]
```
![plot.png](plot.png)

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@@ -1,17 +1,19 @@
import argparse
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import os
import pandas as pd
def plot_power_data(csv_path, output_path):
def plot_power_data(csv_path, output_path, plot_types):
"""
Reads power data from a CSV file and generates a plot image.
Args:
csv_path (str): The path to the input CSV file.
output_path (str): The path to save the output plot image.
plot_types (list): A list of strings indicating which plots to generate
(e.g., ['power', 'voltage', 'current']).
"""
try:
# Read the CSV file into a pandas DataFrame
@@ -25,44 +27,47 @@ def plot_power_data(csv_path, output_path):
print(f"An error occurred while reading the CSV file: {e}")
return
# Create a figure and a set of subplots (3 rows, 1 column)
# --- Plotting Configuration ---
plot_configs = {
'power': {'title': 'Power Consumption', 'ylabel': 'Power (W)',
'cols': ['vin_power', 'main_power', 'usb_power']},
'voltage': {'title': 'Voltage', 'ylabel': 'Voltage (V)',
'cols': ['vin_voltage', 'main_voltage', 'usb_voltage']},
'current': {'title': 'Current', 'ylabel': 'Current (A)', 'cols': ['vin_current', 'main_current', 'usb_current']}
}
channel_labels = ['VIN', 'MAIN', 'USB']
channel_colors = ['red', 'green', 'blue']
num_plots = len(plot_types)
if num_plots == 0:
print("No plot types selected. Exiting.")
return
# Create a figure and a set of subplots based on the number of selected plot types.
# sharex=True makes all subplots share the same x-axis (time)
fig, axes = plt.subplots(3, 1, figsize=(15, 18), sharex=True)
# squeeze=False ensures that 'axes' is always a 2D array, even if num_plots is 1.
fig, axes = plt.subplots(num_plots, 1, figsize=(15, 6 * num_plots), sharex=True, squeeze=False)
axes = axes.flatten() # Flatten the 2D array to 1D for easier iteration
# --- Plot 1: Power (W) ---
ax1 = axes[0]
ax1.plot(df['timestamp'], df['vin_power'], label='VIN', color='red')
ax1.plot(df['timestamp'], df['main_power'], label='MAIN', color='green')
ax1.plot(df['timestamp'], df['usb_power'], label='USB', color='blue')
ax1.set_title('Power Consumption')
ax1.set_ylabel('Power (W)')
ax1.legend()
ax1.grid(True, which='both', linestyle='--', linewidth=0.5)
# --- Loop through selected plot types and generate plots ---
for i, plot_type in enumerate(plot_types):
ax = axes[i]
config = plot_configs[plot_type]
# --- Plot 2: Voltage (V) ---
ax2 = axes[1]
ax2.plot(df['timestamp'], df['vin_voltage'], label='VIN', color='red')
ax2.plot(df['timestamp'], df['main_voltage'], label='MAIN', color='green')
ax2.plot(df['timestamp'], df['usb_voltage'], label='USB', color='blue')
ax2.set_title('Voltage')
ax2.set_ylabel('Voltage (V)')
ax2.legend()
ax2.grid(True, which='both', linestyle='--', linewidth=0.5)
for j, col_name in enumerate(config['cols']):
ax.plot(df['timestamp'], df[col_name], label=channel_labels[j], color=channel_colors[j])
# --- Plot 3: Current (A) ---
ax3 = axes[2]
ax3.plot(df['timestamp'], df['vin_current'], label='VIN', color='red')
ax3.plot(df['timestamp'], df['main_current'], label='MAIN', color='green')
ax3.plot(df['timestamp'], df['usb_current'], label='USB', color='blue')
ax3.set_title('Current')
ax3.set_ylabel('Current (A)')
ax3.legend()
ax3.grid(True, which='both', linestyle='--', linewidth=0.5)
ax.set_title(config['title'])
ax.set_ylabel(config['ylabel'])
ax.legend()
ax.grid(True, which='both', linestyle='--', linewidth=0.5)
# --- Formatting the x-axis (Time) ---
# Improve date formatting on the x-axis
ax3.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
ax3.xaxis.set_major_locator(plt.MaxNLocator(15)) # Limit the number of ticks
# Apply formatting to the last subplot's x-axis
last_ax = axes[-1]
last_ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
last_ax.xaxis.set_major_locator(plt.MaxNLocator(15)) # Limit the number of ticks
plt.xlabel('Time')
plt.xticks(rotation=45)
@@ -86,9 +91,17 @@ def main():
parser = argparse.ArgumentParser(description="Generate a plot from an Odroid PowerMate CSV log file.")
parser.add_argument("input_csv", help="Path to the input CSV log file.")
parser.add_argument("output_image", help="Path to save the output plot image (e.g., plot.png).")
parser.add_argument(
"-t", "--type",
nargs='+',
choices=['power', 'voltage', 'current'],
default=['power', 'voltage', 'current'],
help="Types of plots to generate. Choose from 'power', 'voltage', 'current'. "
"Default is to generate all three."
)
args = parser.parse_args()
plot_power_data(args.input_csv, args.output_image)
plot_power_data(args.input_csv, args.output_image, args.type)
if __name__ == "__main__":

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@@ -8,5 +8,6 @@
void wifi_init_sta(void);
void wifi_init_ap(void);
void initialize_sntp(void);
void wifi_set_auto_reconnect(bool enable);
#endif // ODROID_POWER_MATE_PRIV_WIFI_H

View File

@@ -81,6 +81,14 @@ void wifi_scan_aps(wifi_ap_record_t** ap_records, uint16_t* count)
*count = 0;
*ap_records = NULL;
wifi_set_auto_reconnect(false);
wifi_ap_record_t ap_info;
if (esp_wifi_sta_get_ap_info(&ap_info) != ESP_OK)
{
esp_wifi_disconnect();
}
// Start scan, this is a blocking call
if (esp_wifi_scan_start(NULL, true) == ESP_OK)
{
@@ -100,6 +108,16 @@ void wifi_scan_aps(wifi_ap_record_t** ap_records, uint16_t* count)
}
}
}
wifi_set_auto_reconnect(true);
if (esp_wifi_sta_get_ap_info(&ap_info) != ESP_OK)
{
if (!nconfig_value_is_not_set(WIFI_SSID))
{
wifi_connect();
}
}
}
esp_err_t wifi_get_current_ap_info(wifi_ap_record_t* ap_info)

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@@ -16,9 +16,13 @@
#include "wifi.h"
#include "indicator.h"
static bool s_auto_reconnect = true;
static const char* TAG = "WIFI";
void wifi_set_auto_reconnect(bool enable) { s_auto_reconnect = enable; }
static void wifi_event_handler(void* arg, esp_event_base_t event_base, int32_t event_id, void* event_data)
{
if (event_base == WIFI_EVENT && event_id == WIFI_EVENT_AP_STACONNECTED)
@@ -46,10 +50,18 @@ static void wifi_event_handler(void* arg, esp_event_base_t event_base, int32_t e
}
else if (event_base == WIFI_EVENT && event_id == WIFI_EVENT_STA_DISCONNECTED)
{
led_set(LED_RED, BLINK_TRIPLE);
led_set(LED_BLU, BLINK_TRIPLE);
wifi_event_sta_disconnected_t* event = (wifi_event_sta_disconnected_t*)event_data;
ESP_LOGW(TAG, "Disconnected from AP, reason: %s", wifi_reason_str(event->reason));
// ESP-IDF will automatically try to reconnect by default.
if (event->reason != WIFI_REASON_ASSOC_LEAVE)
{
if (s_auto_reconnect && !nconfig_value_is_not_set(WIFI_SSID))
{
ESP_LOGI(TAG, "Connection lost, attempting to reconnect...");
esp_wifi_connect();
}
}
}
else if (event_base == IP_EVENT && event_id == IP_EVENT_STA_GOT_IP)
{

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@@ -3,4 +3,3 @@
nvs,data,nvs,0x9000,24K,
phy_init,data,phy,0xf000,4K,
factory,app,factory,0x10000,2M,
littlefs, data, littlefs, ,1536K,
1 # ESP-IDF Partition Table
3 nvs,data,nvs,0x9000,24K,
4 phy_init,data,phy,0xf000,4K,
5 factory,app,factory,0x10000,2M,
littlefs, data, littlefs, ,1536K,