As noted in previous posts, the latest version of SwitchDoc Labs SkyWeather2 software release (May 7, 2022 – Version 027.6) broke my installation script. The problem involved updates to the MySQL database schemas.
New releases of the SkyWeather2 software are updates. This means there is an assumption that you have a working installation of a previous version. My installation script starts from a clean Pi OS and installs all software and dependencies from scratch.
This has not been a problem historically, but the latest SkyWeather2 update makes changes to the existing database schemas, and assumes the databases exist. To correct this problem, I need to be able to create the databases before running the update scripts.
SwitchDoc Labs support has been terrific in helping me fix this issue. I was provided access to all of the information (e.g detailed database schemas) I needed to get my install script working again.
You can find the latest version of the install script here. It is recommended you install SkyWeather2 software on a Pi running the 32-bit Buster version of Pi OS.
It is interesting to note, my install script runs fine on the 32-bit Bullseye version of Pi OS with legacy camera support enabled. This is not officially supported but those of you that like to live on the edge can hack around and report any issues.
Thanks again to the great folks at SwichDoc Labs for supporting me in getting this issue resolved.
On May 7, 2022, SwitchDocLabs released Version 27.6 of their SkyWeather2 software suite. A few days later, I was notified by a user that my SkyWeather2 install script failed.
pi@skyweather2:~/SDL_Pi_Skyweather2 $ sudo mysql -u root -p < WeatherSenseWireless.sql
ERROR 1046 (3D000) at line 5: No database selected
This error was not caused by my script. It is caused by an error in the SkyWeather2 SQL scripts.
A couple of years ago, I bought a SkyWeather2 system but did not purchase the software SDCard. I was not willing to pay an additional $35 on top of the cost of the system. I soon discovered downloading the SkyWeather2 software on Github and running the main Python script does not work.
This is part three of the ‘How-To‘ series on leveraging the Zabbix IT monitoring platform using a Raspberry Pi. Part-1 showed how to install the Zabbix server on a Pi. Part-2 showed how to get the Zabbix agent running on a Pi. In this post, I show how to graph the CPU and GPU temperature of a Pi and the temperature/humidity readings from a precision AM2315 temperature sensor.
The Zabbix platform is incredibly flexible. It allows nearly endless possibilities of tracking and graphing data using custom User-Parameters. This is very useful to Makers since it allows the monitoring of sensor data on custom dashboards.
You can download the ‘How-To’ document here. I have also provided a zip file containing the custom scripts and agent configuration user parameter section on the downloads page.
Let me know how you use the Zabbix platform with your Pi fleet to monitor and track sensor data.
Hello to all my smoke-eating Maker friends. O’l Sopwith has a story to tell. In my February 1st post, I posted the pure Python source code and updated the implementation documentation for the ever-so-popular AM2315 temperature sensor.
I did this after receiving an Email from a fellow Maker who wanted to know why my sample AM2315 code did not work with Python3. The day after I published that blog entry, a comment was posted stating they could not get their sensor working. The AM2315 was visible in the i2cdetect test, but it would not return any data. The Python code crashed and burned.
About a week of communicating back-and-forth to troubleshoot the problem, this is what we did:
Turned on Debug mode in the python script
Made sure the device was wired correctly
Made sure the correct software was installed
Disconnected all other devices from the Pi
Ran the SwitchDoc Labs test script (same stack trace)
Ensured the Pi had a 2.0 amp power supply
About the same time this was going on, the mate who asked about the Python3 port downloaded and tested the new code. He could not get it to work either. Thinking he had a bad sensor, he set up a test harness and tested his sensor on an Arduino. It worked fine. After some fiddling around, he determined the MAXREADATTEMPT = 3 on line 23 was too small a value. He changed it to 10, and his sensor worked fine.
After more than 5 years, I still get an occasional Email from Makers who ask questions about the Aosong AM2315 temperature/humidity sensor. I got one this week asking why my AM2315 python code did not work with Python3.
This nudged me to take a look at my code and figure out what it would take to get it to work with Python3. Next thing you know, I decided to remove the underlying dependency on any C code libraries and ensure my sample Python code works in both Python2.7 and Python3 without modifications.
To do this, I rely on two Python modules. The first is the great code written by our friends over at Adafruit. They have created a Rapsberry Pi GPIO code module written in pure Python. The second module is from the innovative folks over at SwitchDoc Labs.
I have updated the AM2315 Implementation Guide with the new changes. I also modified the SwitchDoc code so that it will work with Python3.
Now it is time for a rant. If you are a Python programmer, it is time for you to get serious about Python3 if you are still clinging to your Python2.7 worldview. All new code you write should be written in Python3. Python2.7 has an End Of Life date on January 1, 2020. There is a lot of 2.7 code out there that will work in Python3 with just a few changes. In fact, the only changes I made to get the SwitchDoc code to work was putting parenthesis around the print statements. EOR. (End of Rant)
You can download the updated implementation document with a code sample here. Thanks to Adafruit and SwitchDoc Labs for being a part of the Open Source community.
In Part-1 of this hacking series, I set the stage for an adventure in home automation hacking. My goal is to start small, grow a system over time, and share the experience.
To follow along on my openHAB adventure, instead of creating an enormous blog entry, I decided to document it in a PDF ‘How-To’ document. I have found these types of documents are highly valuable to those folks that are new to the Raspberry Pi and Linux, and/or those who have little programming experience. Download the PDF and configuration files below:
Here in Part-II, we explore my adventures with openHAB.
To learn more about openHAB, read Part-I of this series or head over to their web site. I started knowing nothing about openHAB, so I spent a lot if time in the documentation. Next, I burned an image of openHABian and fired it up on a Raspberry Pi 3.
In a couple of weeks of study and hacking, I have a working home automation system that is quite cool. Below is a view of my openHAB system as seen in a browser.
In Part-I and Part-II of this blog series, I assembled the terrific NatureBytes Camera Kit and mounted it on a tripod. I had to wait for parts to arrive before I could add night-vision to the kit. This blog post shows how I modified the camera kit so it can see in the dark.
The goal was to somehow mount and power the LISIPAROI IR light board while still maintaining the weather-proof integrity of the NatureBytes camera kit. The night-vision hack turned out to be pretty simple.
I found a small plastic box with a latching lid in the office supply aisle at a local Wal-Mart. It was designed to store paper clips on a desk, but Ol’ Sopwith had other ideas. The box was the perfect size to install a battery pack, trigger wire and IR light board. Continue reading →
In Part-I of this series, I introduced the NatureBytes KickStarter project and finally got around to building the kit I ordered in 2015. I want to hack it so I can capture photos/ videos at night. I need to identify what nocturnal animals are exploring my yard overnight.
The Camera Kit is simply – Fantastic! Details of the kit and the build instructions can be found here. The first thing that struck me was the quality of the bright green case. This thing is an engineering marvel.
On June 24, 2015, a NGO named NatureBytes began a KickStarter campaign to raise money for a wildlife camera kit based on the Raspberry PI. Based in Berkshire UK, west of London, this conservation group set out to encourage kids to get off the couch and explore nature.
Within a month, the campaign raised £34,164 from 303 backers. This was 108% over the goal of £28,995. At that time, Ol’ Sopwith was living in London and was one of 50 backers who pledged £85.
It was expected the kits would ship in December of 2015, but there were delays caused by the complicated molding process used in creating the cases. I followed the updates closely because I felt their pain. Anybody who has ever been involved in the injection molding process of plastics knows how difficult this can be.