34 Commits

Author SHA1 Message Date
9cb4734093 csv_2_plot: fix assignment of 'elapsed_seconds' column to avoid SettingWithCopyWarning
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 16:12:51 +09:00
b734915040 monitor: reduce averaging and adjust conversion times for improved responsiveness
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 15:28:32 +09:00
a84b504733 monitor: adjust sensor period range to support lower limit of 100ms
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 14:17:41 +09:00
222de64932 csv_2_plot: refine Y-axis major tick interval calculation for better alignment with data ranges
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 14:16:24 +09:00
1f35c52261 csv_2_plot: fix timestamp column assignment during timezone conversion
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 13:45:30 +09:00
14440094ac csv_2_plot: set matplotlib backend to 'Agg' for non-GUI environments
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 13:43:09 +09:00
11f9c72543 csv_2_plot: add support for customizing x-axis grid and label intervals
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 12:17:04 +09:00
c98e735410 csv_2_plot: add support for plotting with relative time on the x-axis
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 12:10:25 +09:00
5a505a5205 csv_2_plot: add Y-axis max value customization for voltage, current, and power
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-11 11:59:55 +09:00
6a5ec86505 update logger README to include detailed usage instructions and examples
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-10 10:01:26 +09:00
e20f4b9f74 csv_2_plot: update title margin
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-10 10:01:26 +09:00
56e1f619e1 csv_2_plot: update y-axis gridline colors
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-10 10:01:26 +09:00
8930a36eaf csv_2_plot: improve plot configuration and add average voltage/interval calculations
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-10 10:01:26 +09:00
194474fdff logger: save time on UTC
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-10 10:00:27 +09:00
ce40257fea logger: align output format with main.js and csv_2_plot expectations
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 16:31:30 +09:00
649f05d330 edit plot title
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 16:26:16 +09:00
7896dddd1d displays the time according to the user's time zone.
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 16:24:13 +09:00
aa4012f981 change CSV file name format, organize CSV data
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 16:07:00 +09:00
af0d704e2e update readme
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 15:05:23 +09:00
a5658e3cf3 csv_2_plot: add option --source, fix y axis scale
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 14:59:58 +09:00
9923365184 add data record, download csv
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 14:52:07 +09:00
8ba4a179db change time units to milliseconds
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 14:36:24 +09:00
a1255e8304 add config period
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-12-09 14:23:27 +09:00
a75ec53d23 Merge pull request #1 from hardkernel/master
.
2025-12-08 10:22:48 +09:00
Hardkernel Co., Ltd.
11e3e126b0 Merge pull request #2 from shinys000114/master
Improved AP reconnection logic in STA mode
2025-12-08 10:14:32 +09:00
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
Hardkernel Co., Ltd.
d04ac35126 Merge pull request #1 from shinys000114/master
Update schematic, Add example script
2025-11-19 16:39:01 +09:00
4bd060ff22 example: add support plot
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-19 16:26:44 +09:00
4e6db88f7e example: add support for csv
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-19 16:26:40 +09:00
e3d98ed3dd example: add example script
Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>
2025-11-19 16:26:33 +09:00
25 changed files with 828 additions and 33 deletions

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@@ -77,4 +77,13 @@ sudo apt install nodejs npm nanopb
1. After flashing, the ESP32 will either connect to the pre-configured Wi-Fi network or start an Access Point (APSTA).
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.
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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/.venv/
/venv/
status_pb2.py
test.csv
plot.png

140
example/logger/README.md Normal file
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# Odroid PowerMate Logger and Plotter
This directory contains two Python scripts to log power data from an Odroid PowerMate device and visualize it.
1. `logger.py`: Connects to the device's web server, authenticates, and logs real-time power data from its WebSocket to a CSV file.
2. `csv_2_plot.py`: Reads the generated CSV file and creates a plot image of the power, voltage, and current data over time.
## Prerequisites
### 1. Clone this example
```bash
git clone https://github.com/hardkernel/odroid-powermate.git
cd odroid-powermate/example/logger
```
### 2. Python and Virtual Environment
It is highly recommended to use a Python virtual environment to manage project dependencies and avoid conflicts with other projects.
Ensure you have Python 3 installed.
1. **Create a virtual environment:**
Open your terminal in this directory and run:
```bash
python3 -m venv venv
```
This will create a `venv` directory containing the Python interpreter and libraries.
2. **Activate the virtual environment:**
* **On Windows:**
```powershell
.\venv\Scripts\activate
```
* **On macOS and Linux:**
```bash
source venv/bin/activate
```
Your terminal prompt should now show `(venv)` at the beginning, indicating that the virtual environment is active.
### 3. Install Required Libraries
With the virtual environment activated, install the necessary Python packages:
```bash
pip3 install requests websockets protobuf pandas matplotlib python-dateutil
```
### 4. Protobuf Generated File
The `logger.py` script uses Google Protocol Buffers (Protobuf) to decode real-time data from the WebSocket. This requires a Python file, `status_pb2.py`, which is generated from a Protobuf definition file (`status.proto`).
**How to Generate `status_pb2.py`:**
1. **Install Protobuf Compiler Tools:**
You need the `grpcio-tools` package, which includes the `protoc` compiler and Python plugins. You can install it via pip:
```bash
pip3 install grpcio-tools
```
2. **Locate the `.proto` file:**
Ensure you have the `status.proto` file in the current directory. This file defines the structure of the data messages.
3. **Run the Compiler:**
Execute the following command in your terminal. This command tells `protoc` to look for `status.proto` in the directory (`-I../../proto`) and generate the Python output file (`--python_out=.`) in the same place.
```bash
python3 -m grpc_tools.protoc -I../../proto --python_out=. status.proto
```
After running this command, the `status_pb2.py` file will be created, and `logger.py` will be able to use it.
## Usage
The process is a two-step workflow: first log the data, then plot it.
### Step 1: Log Power Data with `logger.py`
Run `logger.py` to connect to your Odroid Smart Power device and save the data to a CSV file.
**Syntax:**
```bash
python3 logger.py <host> -u <username> -p <password> -o <output_file.csv>
```
**Arguments:**
* `host`: The IP address or hostname of the Odroid Smart Power device (e.g., `192.168.1.50`).
* `-u`, `--username`: The username for logging in.
* `-p`, `--password`: The password for logging in.
* `-o`, `--output`: The path to save the output CSV file. This is required if you want to generate a plot.
**Example:**
This command will log in and save the power data to `power_log.csv`.
```bash
python3 logger.py 192.168.1.50 -u admin -p mypassword -o power_log.csv
```
The script will continue to log data until you stop it with `Ctrl+C`.
### Step 2: Generate a Plot with `csv_2_plot.py`
Once you have a CSV log file, you can use `csv_2_plot.py` to create a visual graph.
You can also use the csv file recorded from PowerMate Web.
**Syntax:**
```bash
python3 csv_2_plot.py <input.csv> <output.png> [options]
```
**Arguments:**
* `input_csv`: The path to the CSV file generated by `logger.py`.
* `output_image`: The path to save the output plot image (e.g., `plot.png`).
**Optional Arguments:**
* `-t`, `--type`: Specify which plots to generate. Choices are `power`, `voltage`, `current`. Default is all three.
* `-s`, `--source`: Specify which power sources to include. Choices are `vin`, `main`, `usb`. Default is all three.
**Example 1: Default Plot**
This command reads `power_log.csv` and generates a plot containing power, voltage, and current for all sources, saving it as `power_graph.png`.
```bash
python3 csv_2_plot.py power_log.csv power_graph.png
```
**Example 2: Custom Plot**
This command generates a plot showing only the **power** and **current** for the **MAIN** and **USB** sources.
```bash
# main, usb power consumption
python csv_2_plot.py power_log.csv custom_plot.png --type power --source main usb
```
## Example Output
Running the plot script will generate an image file similar to this:
![plot.png](img/plot.png)
The 5-unit scale is highlighted with a blue dotted line, and the 10-unit scale is highlighted with a red dotted line.

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import argparse
import matplotlib
matplotlib.use('Agg')
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import pandas as pd
from dateutil.tz import gettz
from matplotlib.ticker import MultipleLocator, FuncFormatter
import math
def plot_power_data(csv_path, output_path, plot_types, sources,
voltage_y_max=None, current_y_max=None, power_y_max=None,
relative_time=False, time_x_line=None, time_x_label=None):
"""
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.
sources (list): A list of strings indicating which power sources to plot.
voltage_y_max (float, optional): Maximum value for the voltage plot's Y-axis.
current_y_max (float, optional): Maximum value for the current plot's Y-axis.
power_y_max (float, optional): Maximum value for the power plot's Y-axis.
relative_time (bool): If True, the x-axis will show elapsed time from the start.
time_x_line (float, optional): Interval in seconds for x-axis grid lines.
time_x_label (float, optional): Interval in seconds for x-axis labels.
"""
try:
# Read the CSV file into a pandas DataFrame
df = pd.read_csv(csv_path, parse_dates=['timestamp'])
print(f"Successfully loaded {len(df)} records from '{csv_path}'")
if df.empty:
print("CSV file is empty. Exiting.")
return
# --- Time Handling ---
x_axis_data = df['timestamp']
if relative_time:
start_time = df['timestamp'].iloc[0]
df.loc[:, 'elapsed_seconds'] = (df['timestamp'] - start_time).dt.total_seconds()
x_axis_data = df['elapsed_seconds']
print("X-axis set to relative time (elapsed seconds).")
else:
# --- Timezone Conversion for absolute time ---
local_tz = gettz()
df.loc[:, 'timestamp'] = df['timestamp'].dt.tz_convert(local_tz)
print(f"Timestamp converted to local timezone: {local_tz}")
except FileNotFoundError:
print(f"Error: The file '{csv_path}' was not found.")
return
except Exception as e:
print(f"An error occurred while reading the CSV file: {e}")
return
# --- Calculate Average Interval ---
avg_interval_ms = 0
if len(df) > 1:
avg_interval = df['timestamp'].diff().mean()
avg_interval_ms = avg_interval.total_seconds() * 1000
# --- Calculate Average Voltages ---
avg_voltages = {}
for source in sources:
voltage_col = f'{source}_voltage'
if voltage_col in df.columns:
avg_voltages[source] = df[voltage_col].mean()
# --- Plotting Configuration ---
scale_config = {
'power': {'steps': [5, 20, 50, 160]},
'voltage': {'steps': [5, 10, 15, 25]},
'current': {'steps': [1, 2.5, 5, 10]}
}
plot_configs = {
'power': {'title': 'Power Consumption', 'ylabel': 'Power (W)', 'cols': [f'{s}_power' for s in sources]},
'voltage': {'title': 'Voltage', 'ylabel': 'Voltage (V)', 'cols': [f'{s}_voltage' for s in sources]},
'current': {'title': 'Current', 'ylabel': 'Current (A)', 'cols': [f'{s}_current' for s in sources]}
}
y_max_options = {
'power': power_y_max,
'voltage': voltage_y_max,
'current': current_y_max
}
channel_labels = [s.upper() for s in sources]
color_map = {'vin': 'red', 'main': 'green', 'usb': 'blue'}
channel_colors = [color_map[s] for s in sources]
num_plots = len(plot_types)
if num_plots == 0:
print("No plot types selected. Exiting.")
return
fig, axes = plt.subplots(num_plots, 1, figsize=(15, 9 * num_plots), sharex=True, squeeze=False)
axes = axes.flatten()
# --- Loop through selected plot types and generate plots ---
for i, plot_type in enumerate(plot_types):
ax = axes[i]
config = plot_configs[plot_type]
max_data_value = 0
for j, col_name in enumerate(config['cols']):
if col_name in df.columns:
ax.plot(x_axis_data, df[col_name], label=channel_labels[j], color=channel_colors[j], zorder=2)
max_col_value = df[col_name].max()
if max_col_value > max_data_value:
max_data_value = max_col_value
else:
print(f"Warning: Column '{col_name}' not found in CSV. Skipping.")
# --- Dynamic Y-axis Scaling ---
ax.set_ylim(bottom=0)
y_max_option = y_max_options.get(plot_type)
if y_max_option is not None:
ax.set_ylim(top=y_max_option)
elif plot_type in scale_config:
steps = scale_config[plot_type]['steps']
new_max = next((step for step in steps if step >= max_data_value), steps[-1])
ax.set_ylim(top=new_max)
ax.set_title(config['title'])
ax.set_ylabel(config['ylabel'])
ax.legend()
# --- Y-Grid and Tick Configuration ---
y_min, y_max = ax.get_ylim()
if y_max <= 0:
major_interval = 1.0 # Default for very small or zero range
elif plot_type == 'current' and y_max <= 2.5:
major_interval = 0.5 # Maintain current behavior for very small current values
elif y_max <= 10:
major_interval = 2.0 # Maintain current behavior for small ranges where 5-unit is too coarse
elif y_max <= 25:
major_interval = 5.0 # Already a multiple of 5
else: # y_max > 25
# Aim for major ticks that are multiples of 5.
# Calculate a rough interval to get around 5 major ticks.
rough_interval = y_max / 5.0
# Find the smallest multiple of 5 that is greater than or equal to rough_interval.
# This ensures labels are multiples of 5.
major_interval = math.ceil(rough_interval / 5.0) * 5.0
# Ensure major_interval is not 0 if y_max is small but positive.
if major_interval == 0 and y_max > 0:
major_interval = 5.0
ax.yaxis.set_major_locator(MultipleLocator(major_interval))
ax.yaxis.set_minor_locator(MultipleLocator(1))
ax.yaxis.grid(False, which='major')
ax.yaxis.grid(True, which='minor', linestyle='--', linewidth=0.6, zorder=0)
for y_val in range(int(y_min), int(y_max) + 1):
if y_val == 0: continue
if y_val % 10 == 0:
ax.axhline(y=y_val, color='maroon', linestyle='--', linewidth=1.2, zorder=1)
elif y_val % 5 == 0:
ax.axhline(y=y_val, color='midnightblue', linestyle='--', linewidth=1.2, zorder=1)
# --- X-Grid Configuration ---
ax.xaxis.grid(True, which='major', linestyle='--', linewidth=0.8)
if time_x_line is not None:
ax.xaxis.grid(True, which='minor', linestyle=':', linewidth=0.6)
# --- Formatting the x-axis ---
last_ax = axes[-1]
if not df.empty:
last_ax.set_xlim(x_axis_data.iloc[0], x_axis_data.iloc[-1])
if relative_time:
plt.xlabel('Elapsed Time (seconds)')
if time_x_label is not None:
last_ax.xaxis.set_major_locator(MultipleLocator(time_x_label))
else:
last_ax.xaxis.set_major_locator(plt.MaxNLocator(15))
if time_x_line is not None:
last_ax.xaxis.set_minor_locator(MultipleLocator(time_x_line))
else:
local_tz = gettz()
plt.xlabel(f'Time ({local_tz.tzname(df["timestamp"].iloc[-1])})')
last_ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S', tz=local_tz))
if time_x_label is not None:
last_ax.xaxis.set_major_locator(mdates.SecondLocator(interval=int(time_x_label)))
else:
last_ax.xaxis.set_major_locator(plt.MaxNLocator(15))
if time_x_line is not None:
last_ax.xaxis.set_minor_locator(mdates.SecondLocator(interval=int(time_x_line)))
plt.xticks(rotation=45)
# --- Add a main title and subtitle ---
if relative_time:
main_title = 'PowerMate Log'
else:
start_time_str = df['timestamp'].iloc[0].strftime('%Y-%m-%d %H:%M:%S')
end_time_str = df['timestamp'].iloc[-1].strftime('%H:%M:%S')
main_title = f'PowerMate Log ({start_time_str} to {end_time_str})'
subtitle_parts = []
if avg_interval_ms > 0:
subtitle_parts.append(f'Avg. Interval: {avg_interval_ms:.2f} ms')
voltage_strings = [f'{source.upper()} Avg: {avg_v:.2f} V' for source, avg_v in avg_voltages.items()]
if voltage_strings:
subtitle_parts.extend(voltage_strings)
subtitle = ' | '.join(subtitle_parts)
full_title = main_title
if subtitle:
full_title += f'\n{subtitle}'
fig.suptitle(full_title, fontsize=14)
plt.tight_layout(rect=[0, 0, 1, 0.98])
# --- Save the plot to a file ---
try:
plt.savefig(output_path, dpi=150)
print(f"Plot successfully saved to '{output_path}'")
except Exception as e:
print(f"An error occurred while saving the plot: {e}")
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."
)
parser.add_argument(
"-s", "--source",
nargs='+',
choices=['vin', 'main', 'usb'],
default=['vin', 'main', 'usb'],
help="Power sources to plot. Choose from 'vin', 'main', 'usb'. "
"Default is to plot all three."
)
parser.add_argument("--voltage_y_max", type=float, help="Maximum value for the voltage plot's Y-axis.")
parser.add_argument("--current_y_max", type=float, help="Maximum value for the current plot's Y-axis.")
parser.add_argument("--power_y_max", type=float, help="Maximum value for the power plot's Y-axis.")
parser.add_argument(
"-r", "--relative-time",
action='store_true',
help="Display the x-axis as elapsed time from the start (in seconds) instead of absolute time."
)
parser.add_argument("--time_x_line", type=float, help="Interval in seconds for x-axis grid lines.")
parser.add_argument("--time_x_label", type=float, help="Interval in seconds for x-axis labels.")
args = parser.parse_args()
plot_power_data(
args.input_csv,
args.output_image,
args.type,
args.source,
voltage_y_max=args.voltage_y_max,
current_y_max=args.current_y_max,
power_y_max=args.power_y_max,
relative_time=args.relative_time,
time_x_line=args.time_x_line,
time_x_label=args.time_x_label
)
if __name__ == "__main__":
main()

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import argparse
import asyncio
import csv
import requests
import websockets
from datetime import datetime, timezone
# Import the status_pb2.py file generated by `protoc`.
# This file must be in the same directory as logger.py.
import status_pb2
class OdroidPowerLogger:
"""
A class to connect to the Odroid Smart Power monitoring server and log power data.
1. Logs into the server via an HTTP POST request to obtain an authentication token.
2. Connects to the WebSocket using the obtained token.
3. Receives and decodes binary data in Protobuf format, then prints it.
"""
def __init__(self, host, username, password, output_file=None):
self.host = host
self.username = username
self.password = password
self.base_url = f"http://{self.host}"
self.ws_url = f"ws://{self.host}/ws"
self.output_file = output_file
self.token = None
def login(self):
"""Logs into the server to retrieve an authentication token."""
login_url = f"{self.base_url}/login"
payload = {"username": self.username, "password": self.password}
try:
print(f"Attempting to log in to '{login_url}'...")
response = requests.post(login_url, json=payload, timeout=5)
response.raise_for_status()
response_json = response.json()
if "token" in response_json:
self.token = response_json["token"]
print("Login successful! Token received.")
return True
else:
print("Login failed: No token in response.")
return False
except requests.exceptions.RequestException as e:
print(f"Error during login: {e}")
return False
async def listen_power_data(self):
"""Connects to the WebSocket to receive and log power data."""
if not self.token:
print("Cannot connect to WebSocket without an authentication token.")
return
# Add the authentication token as a query parameter
uri = f"{self.ws_url}?token={self.token}"
csv_file = None
csv_writer = None
try:
# --- CSV File Handling ---
if self.output_file:
try:
# Open the file in write mode, with newline='' to prevent extra blank rows
csv_file = open(self.output_file, 'w', newline='', encoding='utf-8')
csv_writer = csv.writer(csv_file)
# Write header
header = [
'timestamp', 'uptime_ms',
'vin_voltage', 'vin_current', 'vin_power',
'main_voltage', 'main_current', 'main_power',
'usb_voltage', 'usb_current', 'usb_power'
]
csv_writer.writerow(header)
print(f"Logging data to {self.output_file}")
except IOError as e:
print(f"Error opening CSV file: {e}")
# If file can't be opened, disable CSV writing
csv_file = None
csv_writer = None
# --- End CSV File Handling ---
async with websockets.connect(uri) as websocket:
print(f"Connected to WebSocket: {uri}")
while True:
# Receive binary message from the server
message_bytes = await websocket.recv()
# Decode the Protobuf message
status_message = status_pb2.StatusMessage()
status_message.ParseFromString(message_bytes)
# Process only if the payload type is 'sensor_data'
if status_message.WhichOneof('payload') == 'sensor_data':
sensor_data = status_message.sensor_data
ts_dt = datetime.fromtimestamp(sensor_data.timestamp_ms / 1000, tz=timezone.utc)
ts_str_print = ts_dt.strftime('%Y-%m-%d %H:%M:%S UTC')
print(f"--- {ts_str_print} (Uptime: {sensor_data.uptime_ms / 1000}s) ---")
# Print data for each channel
for name, channel in [('VIN', sensor_data.vin), ('MAIN', sensor_data.main),
('USB', sensor_data.usb)]:
print(
f" {name:<4}: {channel.voltage:5.2f} V | {channel.current:5.3f} A | {channel.power:5.2f} W")
# Write to CSV if enabled
if csv_writer:
ts_iso_csv = ts_dt.isoformat(timespec='milliseconds').replace('+00:00', 'Z')
row = [
ts_iso_csv, sensor_data.uptime_ms,
f"{sensor_data.vin.voltage:.3f}", f"{sensor_data.vin.current:.3f}", f"{sensor_data.vin.power:.3f}",
f"{sensor_data.main.voltage:.3f}", f"{sensor_data.main.current:.3f}", f"{sensor_data.main.power:.3f}",
f"{sensor_data.usb.voltage:.3f}", f"{sensor_data.usb.current:.3f}", f"{sensor_data.usb.power:.3f}"
]
csv_writer.writerow(row)
except websockets.exceptions.ConnectionClosed as e:
print(f"WebSocket connection closed: {e}")
except Exception as e:
print(f"Error during WebSocket processing: {e}")
finally:
if csv_file:
csv_file.close()
print(f"\nCSV file '{self.output_file}' saved.")
async def run(self):
"""Runs the logger."""
if self.login():
await self.listen_power_data()
async def main():
parser = argparse.ArgumentParser(description="Odroid Smart Power Data Logger")
parser.add_argument("host", help="Server's host address or IP (e.g., 192.168.1.10)")
parser.add_argument("-u", "--username", required=True, help="Login username")
parser.add_argument("-p", "--password", required=True, help="Login password")
parser.add_argument("-o", "--output", help="Path to the output CSV file.")
args = parser.parse_args()
logger = OdroidPowerLogger(host=args.host, username=args.username, password=args.password, output_file=args.output)
await logger.run()
if __name__ == "__main__":
try:
asyncio.run(main())
except KeyboardInterrupt:
print("\nExiting program.")

View File

@@ -44,6 +44,7 @@ enum nconfig_type
USB_CURRENT_LIMIT, ///< The maximum current limit for the USB out.
PAGE_USERNAME, ///< Webpage username
PAGE_PASSWORD, ///< Webpage password
SENSOR_PERIOD_MS, ///< Sensor period
NCONFIG_TYPE_MAX, ///< Sentinel for the maximum number of configuration types.
};

View File

@@ -30,6 +30,7 @@ const static char* keys[NCONFIG_TYPE_MAX] = {
[USB_CURRENT_LIMIT] = "usb_climit",
[PAGE_USERNAME] = "username",
[PAGE_PASSWORD] = "password",
[SENSOR_PERIOD_MS] = "sensor_period",
};
struct default_value
@@ -54,6 +55,7 @@ struct default_value const default_values[] = {
{USB_CURRENT_LIMIT, "3.0"},
{PAGE_USERNAME, "admin"},
{PAGE_PASSWORD, "password"},
{SENSOR_PERIOD_MS, "1000"},
};
esp_err_t init_nconfig()

View File

@@ -25,8 +25,8 @@ typedef struct _SensorData {
SensorChannelData main;
bool has_vin;
SensorChannelData vin;
uint32_t timestamp;
uint32_t uptime_sec;
uint64_t timestamp_ms;
uint64_t uptime_ms;
} SensorData;
/* Contains WiFi connection status */
@@ -85,8 +85,8 @@ extern "C" {
#define SensorData_usb_tag 1
#define SensorData_main_tag 2
#define SensorData_vin_tag 3
#define SensorData_timestamp_tag 4
#define SensorData_uptime_sec_tag 5
#define SensorData_timestamp_ms_tag 4
#define SensorData_uptime_ms_tag 5
#define WifiStatus_connected_tag 1
#define WifiStatus_ssid_tag 2
#define WifiStatus_rssi_tag 3
@@ -111,8 +111,8 @@ X(a, STATIC, SINGULAR, FLOAT, power, 3)
X(a, STATIC, OPTIONAL, MESSAGE, usb, 1) \
X(a, STATIC, OPTIONAL, MESSAGE, main, 2) \
X(a, STATIC, OPTIONAL, MESSAGE, vin, 3) \
X(a, STATIC, SINGULAR, UINT32, timestamp, 4) \
X(a, STATIC, SINGULAR, UINT32, uptime_sec, 5)
X(a, STATIC, SINGULAR, UINT64, timestamp_ms, 4) \
X(a, STATIC, SINGULAR, UINT64, uptime_ms, 5)
#define SensorData_CALLBACK NULL
#define SensorData_DEFAULT NULL
#define SensorData_usb_MSGTYPE SensorChannelData
@@ -172,7 +172,7 @@ extern const pb_msgdesc_t StatusMessage_msg;
#define LoadSwStatus_size 4
#define STATUS_PB_H_MAX_SIZE SensorData_size
#define SensorChannelData_size 15
#define SensorData_size 63
#define SensorData_size 73
#ifdef __cplusplus
} /* extern "C" */

View File

@@ -4,6 +4,7 @@
#include "monitor.h"
#include <nconfig.h>
#include <sys/time.h>
#include <time.h>
#include "climit.h"
#include "esp_log.h"
@@ -53,9 +54,9 @@ ina3221_t ina3221 = {
.ch1 = true, // channel 1 enable
.ch2 = true, // channel 2 enable
.ch3 = true, // channel 3 enable
.avg = INA3221_AVG_64, // 64 samples average
.vbus = INA3221_CT_2116, // 2ms by channel (bus)
.vsht = INA3221_CT_2116, // 2ms by channel (shunt)
.avg = INA3221_AVG_16, // 16 samples average
.vbus = INA3221_CT_140, // 140us by channel (bus)
.vsht = INA3221_CT_1100, // 1.1ms by channel (shunt)
},
};
@@ -89,9 +90,10 @@ static void send_pb_message(const pb_msgdesc_t* fields, const void* src_struct)
static void sensor_timer_callback(void* arg)
{
int64_t uptime_us = esp_timer_get_time();
uint32_t uptime_sec = (uint32_t)(uptime_us / 1000000);
uint32_t timestamp = (uint32_t)time(NULL);
struct timeval tv;
gettimeofday(&tv, NULL);
uint64_t timestamp_ms = (uint64_t)tv.tv_sec * 1000 + (uint64_t)tv.tv_usec / 1000;
uint64_t uptime_ms = (uint64_t)esp_timer_get_time() / 1000;
StatusMessage message = StatusMessage_init_zero;
message.which_payload = StatusMessage_sensor_data_tag;
@@ -120,8 +122,8 @@ static void sensor_timer_callback(void* arg)
// datalog_add(timestamp, channel_data_log);
sensor_data->timestamp = timestamp;
sensor_data->uptime_sec = uptime_sec;
sensor_data->timestamp_ms = timestamp_ms;
sensor_data->uptime_ms = uptime_ms;
send_pb_message(StatusMessage_fields, &message);
}
@@ -289,6 +291,25 @@ void init_status_monitor()
xTaskCreate(shutdown_load_sw_task, "shutdown_sw_task", configMINIMAL_STACK_SIZE * 3, NULL, 15,
&shutdown_task_handle);
ESP_ERROR_CHECK(esp_timer_start_periodic(sensor_timer, 1000000));
nconfig_read(SENSOR_PERIOD_MS, buf, sizeof(buf));
ESP_ERROR_CHECK(esp_timer_start_periodic(sensor_timer, strtol(buf, NULL, 10) * 1000));
ESP_ERROR_CHECK(esp_timer_start_periodic(wifi_status_timer, 1000000 * 5));
}
esp_err_t update_sensor_period(int period)
{
if (period < 100 || period > 10000) // 0.1 sec ~ 10 sec
{
return ESP_ERR_INVALID_ARG;
}
char buf[10];
sprintf(buf, "%d", period);
esp_err_t err = nconfig_write(SENSOR_PERIOD_MS, buf);
if (err != ESP_OK) {
return err;
}
esp_timer_stop(sensor_timer);
return esp_timer_start_periodic(sensor_timer, period * 1000);
}

View File

@@ -20,5 +20,6 @@ typedef struct
} sensor_data_t;
void init_status_monitor();
esp_err_t update_sensor_period(int period);
#endif // ODROID_REMOTE_HTTP_MONITOR_H

View File

@@ -6,6 +6,7 @@
#include "esp_log.h"
#include "esp_netif.h"
#include "esp_timer.h"
#include "monitor.h"
#include "nconfig.h"
#include "webserver.h"
#include "wifi.h"
@@ -47,6 +48,11 @@ static esp_err_t setting_get_handler(httpd_req_t* req)
cJSON_AddStringToObject(root, "baudrate", buf);
}
if (nconfig_read(SENSOR_PERIOD_MS, buf, sizeof(buf)) == ESP_OK)
{
cJSON_AddStringToObject(root, "period", buf);
}
// Add current limits to the response
if (nconfig_read(VIN_CURRENT_LIMIT, buf, sizeof(buf)) == ESP_OK)
{
@@ -174,6 +180,7 @@ static esp_err_t setting_post_handler(httpd_req_t* req)
cJSON* net_type_item = cJSON_GetObjectItem(root, "net_type");
cJSON* ssid_item = cJSON_GetObjectItem(root, "ssid");
cJSON* baud_item = cJSON_GetObjectItem(root, "baudrate");
cJSON* period_item = cJSON_GetObjectItem(root, "period");
cJSON* vin_climit_item = cJSON_GetObjectItem(root, "vin_current_limit");
cJSON* main_climit_item = cJSON_GetObjectItem(root, "main_current_limit");
cJSON* usb_climit_item = cJSON_GetObjectItem(root, "usb_current_limit");
@@ -289,6 +296,13 @@ static esp_err_t setting_post_handler(httpd_req_t* req)
change_baud_rate(strtol(baudrate, NULL, 10));
httpd_resp_sendstr(req, "{\"status\":\"baudrate_updated\"}");
}
else if (period_item && cJSON_IsString(period_item))
{
const char* period_str = period_item->valuestring;
ESP_LOGI(TAG, "Received period set request: %s", period_str);
update_sensor_period(strtol(period_str, NULL, 10));
httpd_resp_sendstr(req, "{\"status\":\"period_updated\"}");
}
else if (vin_climit_item || main_climit_item || usb_climit_item)
{
char num_buf[10];

View File

@@ -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)

View File

@@ -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)
{

View File

@@ -141,8 +141,9 @@
<div class="card border-top-0 rounded-0 rounded-bottom">
<div class="card-body">
<div class="d-flex justify-content-end mb-3">
<a class="btn btn-primary" download="datalog.csv" href="/datalog.csv" style="display: none"><i
class="bi bi-download me-1"></i> Download CSV</a>
<button id="record-button" class="btn btn-success me-2"><i class="bi bi-record-circle me-1"></i>Record</button>
<button id="stop-button" class="btn btn-danger me-2" style="display: none;"><i class="bi bi-stop-circle me-1"></i>Stop</button>
<button id="download-csv-button" class="btn btn-primary" style="display: none;"><i class="bi bi-download me-1"></i>Download CSV</button>
</div>
<h5 class="card-title text-center mb-3">Power Metrics</h5>
<div class="row">
@@ -359,7 +360,7 @@
</form>
</div>
<div class="tab-pane fade" id="device-settings-pane" role="tabpanel">
<div class="mb-3">
<div class="mb-3 p-3 border rounded">
<label for="baud-rate-select" class="form-label">UART Baud Rate</label>
<select class="form-select" id="baud-rate-select">
<option value="9600">9600</option>
@@ -372,6 +373,16 @@
<option value="921600">921600</option>
<option value="1500000" selected>1500000</option>
</select>
<div class="d-flex justify-content-end mt-2">
<button type="button" class="btn btn-primary btn-sm" id="baud-rate-apply-button">Apply</button>
</div>
</div>
<div class="mb-3 p-3 border rounded">
<label for="period-slider" class="form-label">Sensor Period: <span class="fw-bold text-primary" id="period-value">...</span> ms</label>
<input type="range" class="form-range" id="period-slider" min="100" max="5000" step="100">
<div class="d-flex justify-content-end mt-2">
<button type="button" class="btn btn-primary btn-sm" id="period-apply-button">Apply</button>
</div>
</div>
<hr>
<div class="mb-3">
@@ -380,7 +391,6 @@
<button type="button" class="btn btn-danger" id="reboot-button">Reboot Now</button>
</div>
<div class="d-flex justify-content-end pt-3 border-top mt-3">
<button type="button" class="btn btn-primary me-2" id="baud-rate-apply-button">Apply</button>
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
</div>
</div>

View File

@@ -104,7 +104,6 @@ export async function postNetworkSettings(payload) {
* Posts the selected UART baud rate to the server.
* @param {string} baudrate The selected baud rate.
* @returns {Promise<Response>} A promise that resolves to the raw fetch response.
* @throws {Error} Throws an error if the request fails.
*/
export async function postBaudRateSetting(baudrate) {
const response = await fetch('/api/setting', {
@@ -113,7 +112,24 @@ export async function postBaudRateSetting(baudrate) {
'Content-Type': 'application/json',
...getAuthHeaders(),
},
body: JSON.stringify({baudrate}),
body: JSON.stringify({ baudrate }),
});
return await handleResponse(response);
}
/**
* Posts the selected sensor period to the server.
* @param {string} period The selected period in milliseconds.
* @returns {Promise<Response>} A promise that resolves to the raw fetch response.
*/
export async function postPeriodSetting(period) {
const response = await fetch('/api/setting', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
...getAuthHeaders(),
},
body: JSON.stringify({ period }),
});
return await handleResponse(response);
}

View File

@@ -216,7 +216,7 @@ function updateSingleChart(chart, metric, data, timeLabel) {
* @param {Object} data - The new sensor data object from the WebSocket.
*/
export function updateCharts(data) {
const timeLabel = new Date(data.timestamp * 1000).toLocaleTimeString();
const timeLabel = new Date(data.timestamp).toLocaleTimeString();
updateSingleChart(charts.power, 'power', data, timeLabel);
updateSingleChart(charts.voltage, 'voltage', data, timeLabel);

View File

@@ -76,6 +76,9 @@ export const apPasswordInput = document.getElementById('ap-password');
// --- Device Settings Elements ---
export const baudRateSelect = document.getElementById('baud-rate-select');
export const baudRateApplyButton = document.getElementById('baud-rate-apply-button');
export const periodSlider = document.getElementById('period-slider');
export const periodValue = document.getElementById('period-value');
export const periodApplyButton = document.getElementById('period-apply-button');
export const rebootButton = document.getElementById('reboot-button');
// --- Current Limit Settings Elements ---

View File

@@ -77,8 +77,9 @@ export function setupEventListeners() {
dom.networkApplyButton.addEventListener('click', ui.applyNetworkSettings);
dom.apModeApplyButton.addEventListener('click', ui.applyApModeSettings);
dom.baudRateApplyButton.addEventListener('click', ui.applyBaudRateSettings);
dom.periodApplyButton.addEventListener('click', ui.applyPeriodSettings);
// --- Device Settings (Reboot) ---
// --- Device Settings (Reboot & Period Slider) ---
if (dom.rebootButton) {
dom.rebootButton.addEventListener('click', () => {
if (confirm('Are you sure you want to reboot the device?')) {
@@ -101,6 +102,12 @@ export function setupEventListeners() {
});
}
if (dom.periodSlider) {
dom.periodSlider.addEventListener('input', () => {
dom.periodValue.textContent = dom.periodSlider.value;
});
}
// --- Current Limit Settings ---
dom.vinSlider.addEventListener('input', () => updateSliderValue(dom.vinSlider, dom.vinValueSpan));
dom.mainSlider.addEventListener('input', () => updateSliderValue(dom.mainSlider, dom.mainValueSpan));

View File

@@ -30,6 +30,8 @@ import {setupEventListeners} from './events.js';
// --- Globals ---
// StatusMessage is imported directly from the generated proto.js file.
let isRecording = false;
let recordedData = [];
// --- DOM Elements ---
const loginContainer = document.getElementById('login-container');
@@ -50,6 +52,11 @@ const newUsernameInput = document.getElementById('new-username');
const newPasswordInput = document.getElementById('new-password');
const confirmPasswordInput = document.getElementById('confirm-password');
// Metrics Tab DOM Elements
const recordButton = document.getElementById('record-button');
const stopButton = document.getElementById('stop-button');
const downloadCsvButton = document.getElementById('download-csv-button');
// --- WebSocket Event Handlers ---
@@ -88,13 +95,18 @@ function onWsMessage(event) {
USB: sensorData.usb,
MAIN: sensorData.main,
VIN: sensorData.vin,
timestamp: sensorData.timestamp
timestamp: sensorData.timestampMs,
uptime: sensorData.uptimeMs
};
updateSensorUI(sensorPayload);
if (isRecording) {
recordedData.push(sensorPayload);
}
// Update uptime separately from the sensor data payload
if (sensorData.uptimeSec !== undefined) {
updateUptimeUI(sensorData.uptimeSec);
if (sensorData.uptimeMs !== undefined) {
updateUptimeUI(sensorData.uptimeMs / 1000);
}
}
break;
@@ -233,6 +245,70 @@ function setupThemeToggles() {
});
}
// --- Recording and Downloading Functions ---
function startRecording() {
isRecording = true;
recordedData = [];
recordButton.style.display = 'none';
stopButton.style.display = 'inline-block';
downloadCsvButton.style.display = 'none';
console.log('Recording started.');
}
function stopRecording() {
isRecording = false;
recordButton.style.display = 'inline-block';
stopButton.style.display = 'none';
if (recordedData.length > 0) {
downloadCsvButton.style.display = 'inline-block';
}
console.log('Recording stopped. Data points captured:', recordedData.length);
}
function downloadCSV() {
if (recordedData.length === 0) {
alert('No data to download.');
return;
}
const headers = [
'timestamp', 'uptime_ms',
'vin_voltage', 'vin_current', 'vin_power',
'main_voltage', 'main_current', 'main_power',
'usb_voltage', 'usb_current', 'usb_power'
];
const csvRows = [headers.join(',')];
recordedData.forEach(data => {
const timestamp = new Date(data.timestamp).toISOString();
const row = [
timestamp,
data.uptime,
Number(data.VIN.voltage).toFixed(3), Number(data.VIN.current).toFixed(3), Number(data.VIN.power).toFixed(3),
Number(data.MAIN.voltage).toFixed(3), Number(data.MAIN.current).toFixed(3), Number(data.MAIN.power).toFixed(3),
Number(data.USB.voltage).toFixed(3), Number(data.USB.current).toFixed(3), Number(data.USB.power).toFixed(3)
];
csvRows.push(row.join(','));
});
const blob = new Blob([csvRows.join('\n')], { type: 'text/csv;charset=utf-8;' });
const link = document.createElement('a');
const url = URL.createObjectURL(blob);
const now = new Date();
const pad = (num) => num.toString().padStart(2, '0');
const datePart = `${now.getFullYear().toString().slice(-2)}-${pad(now.getMonth() + 1)}-${pad(now.getDate())}`;
const timePart = `${pad(now.getHours())}-${pad(now.getMinutes())}`;
const filename = `powermate_${datePart}_${timePart}.csv`;
link.setAttribute('href', url);
link.setAttribute('download', filename);
link.style.visibility = 'hidden';
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
// --- Application Initialization ---
@@ -263,6 +339,12 @@ function initializeMainAppContent() {
initializeVersion();
setupEventListeners(); // Attach main app event listeners
logoutButton.addEventListener('click', handleLogout); // Attach logout listener
// Attach listeners for recording/downloading
recordButton.addEventListener('click', startRecording);
stopButton.addEventListener('click', stopRecording);
downloadCsvButton.addEventListener('click', downloadCSV);
connect();
// Attach user settings form listener

View File

@@ -301,6 +301,24 @@ export async function applyBaudRateSettings() {
}
}
/**
* Applies the selected sensor period by sending it to the server.
*/
export async function applyPeriodSettings() {
const period = dom.periodSlider.value;
dom.periodApplyButton.disabled = true;
dom.periodApplyButton.innerHTML = `<span class="spinner-border spinner-border-sm" aria-hidden="true"></span> Applying...`;
try {
await api.postPeriodSetting(period);
} catch (error) {
console.error('Error applying period:', error);
} finally {
dom.periodApplyButton.disabled = false;
dom.periodApplyButton.innerHTML = 'Apply';
}
}
/**
* Fetches and displays the current network and device settings in the settings modal.
*/
@@ -338,6 +356,10 @@ export async function initializeSettings() {
if (data.baudrate) {
dom.baudRateSelect.value = data.baudrate;
}
if (data.period) {
dom.periodSlider.value = data.period;
dom.periodValue.textContent = data.period;
}
} catch (error) {
console.error('Error initializing settings:', error);

View File

@@ -25,6 +25,7 @@ export function debounce(func, delay) {
* @returns {string} The formatted uptime string.
*/
export function formatUptime(totalSeconds) {
totalSeconds = Math.floor(totalSeconds);
const days = Math.floor(totalSeconds / 86400);
const hours = Math.floor((totalSeconds % 86400) / 3600);
const minutes = Math.floor((totalSeconds % 3600) / 60);

View File

@@ -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,

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@@ -12,8 +12,8 @@ message SensorData {
SensorChannelData usb = 1;
SensorChannelData main = 2;
SensorChannelData vin = 3;
uint32 timestamp = 4;
uint32 uptime_sec = 5;
uint64 timestamp_ms = 4;
uint64 uptime_ms = 5;
}
// Contains WiFi connection status