add pdf guide and make other workflows stop running lole

.github/workflows/build-exe.yml

@@ -2,7 +2,7 @@ name: build and run windows executable
 
 on:
   push:
-    branches: "main"
+    branches: "develop"
   # pull_request:
   #   branches: "main"
 

.github/workflows/build-linux.yml

@@ -2,7 +2,7 @@ name: build and run linux executable
 
 on:
   push:
-    branches: "main"
+    branches: "develop"
   # pull_request:
   #   branches: "main"
 

.github/workflows/main.yml

@@ -3,7 +3,7 @@ name: generate DBC and C code
 on:
   push:
     branches:
-      - main  # Replace 'main' with your main branch name a
+      - develop  # Replace 'main' with your main branch name a
 
 jobs:
   build:

README.md

@@ -1,12 +1,17 @@
 
-## Intro
+# Intro
 
+![team logo](readmepics\kennesawmotorsports.jpg)
 Welcome to the folder containing all the KENNESAW STATE FSAE data acquisition services. The entire system is Python and MatLab based.
 
 - If you have any questions or need troubleshooting, feel free to reach out to Matthew Samson on Teams, Discord: mathbrook or via email: <[email protected]>
 
 # parser setup
 
+## PDF GUIDE:
+
+![Here is the setup guide in PDF form](./readmepics/Parser%20setup%20and%20run%20guide.pdf)
+
 the parser is the tool to decode our vehicle [CAN](https://www.csselectronics.com/pages/can-bus-simple-intro-tutorial) logs, which look like this:
 
 ```csv
@@ -27,28 +32,28 @@ there are two options for using the parser:
 
 2. install python, clone repo, install packages and run script (more complicated but easier to update)
 
-## downloading executable
+## Downloading the executable
+
+1. Click this link to download the latest windows executable: <https://github.com/KSU-MS/KS5e-Data-Logging/releases/latest/download/parser_exe_windows.zip>
 
-1. go to <https://github.com/KSU-MS/KS5e-Data-Logging/actions/workflows/build-exe.yml?query=branch%3Adevelop+branch%3Amain++>
-    - you should see this: ![picture of workflow run page](readmepics/image.png)
-2. click the workflow run (in this case `Merge pull request...`)
+2. once that download is complete, extract the contents of the .zip file 
+3. Open the extracted folder and navigate to parser-exe-windows/dist/ ![parser exe download directory](readmepics\parser-exe-directory.png)
+4. Click on `parser_exe.exe` to run it
+    - Windows may give a warning when trying to run the program, click on 'more info' and then 'run anyway' to bypass it
 
-3. scroll down to the bottom of the page and click the artifact to download it:
-    - ![picture of artifact download under workflow run](readmepics/image1.png)
-    - your browser may alert you that you are downloading a virus, but trust the download and let it continue
+## Matlab Setup:
 
-4. once that download is complete, extract the contents of the .zip file to a folder
-5. run `parser_exe.exe`
+For MatLab (used for plotting data), follow KSU's instructions here: <https://www.mathworks.com/academia/tah-portal/kennesaw-state-university-31081932.html>
 
-### manual python install
+You should be able to get it installed and licensed with your student email
+
+## manual python install
 
 1. Python 3 is required, and may be installed here: <https://www.python.org/downloads/>. Make sure it is added to PATH
     - Python 3.8 is recommended to guarantee compatibility
-2. For MatLab (OPTIONAL), you will need an education/work license to get it for free. Follow KSU's instructions here: <https://www.mathworks.com/academia/tah-portal/kennesaw-state-university-31081932.html>
-    - Really the only thing you need MatLab for is to plot the data after parsing. Otherwise, just having Python is enough
-3. If you have not done so already, clone this GitHub repo or download it as a zip, extract, and save to somewhere safe
-4. Change directory to the repo. All you have to do is `cd KS5e-Data-Logging`
-5. optional step, create a python virtual environment by running these commands:
+2. If you have not done so already, clone this GitHub repo or download it as a zip, extract, and save to somewhere safe
+3. Change directory to the repo. All you have to do is `cd KS5e-Data-Logging`
+4. optional step, create a python virtual environment by running these commands:
 
 ```python
 pip install virtualenv
@@ -59,35 +64,39 @@ pip install -r requirements.txt
 
 why venv is good to use: <https://stackoverflow.com/questions/41972261/what-is-a-virtualenv-and-why-should-i-use-one>
 
-6. Once you are here, download the needed pip libraries by issuing the command `pip install -r requirements.txt`
+5. Once you are here, download the needed pip libraries by issuing the command `pip install -r requirements.txt`
 
 ## User's Guide
 
 If you are a user, everything you need to care about is in the `telemetry_exe` folder. Navigate to that directory.
 
 There are two services: the **Live Console**, the **Parser and Plotter**
 
-### Parser and Plotter
+# Parsing and plotting data
+
+### Parsing steps 
 
-1. Get the raw data CSVs from the SD card on the vehicle
+1. Get the raw data CSVs from the SD card on the vehicle OR download from Microsoft Teams
 2. Copy them to a folder on your computer
 3. If you chose to manually set up the parser, you can either run the file `parser_exe.py` with the Python Interpreter or issue the command `python parser_exe.py`
 4. Otherwise if you downloaded the executable, run `parser_exe.exe`
-5. Wait for the process to finish (a success message from `parser_exe.py` followed by termination)
-6. You may now retrieve the parsed data from the `parsed-data` as well as the `temp-parsed-data` folder and the .mat file `output.mat`
+5. The program will prompt you to select the folder with the data you downloaded
+6. Once the program is finished running, it will open the directory where your raw data was 
+7. You may now retrieve the parsed data from the `parsed-data` as well as the `temp-parsed-data` folder and the .mat file `output.mat`
    - logs in `parsed-data` are formatted differently than in `temp-parsed-data`, but the results are the same
 
 If you run the parser in the same raw data folder again, it will overwrite the files in `parsed-data` and `temp-parsed-data`
 
-_The next steps are optional - only if you want to plot the results_
+### Plotting steps 
 
-7. Open `dataPlots.m` in MatLab
-8. In MatLab, first load `output.mat` by double clicking it on the sidebar. Then click run on `dataPlots.m`
+1. Open `dataPlots.m` in MatLab
+2. In MatLab, first load `output.mat` by double clicking it on the sidebar. Then click run on `dataPlots.m`
     - This script will not execute fully if there is not enough data, and it will stop on the first plot it is missing data for
+    - comment out plot lines in the script if necessary, or run the script section by section
 
-### Live Console
+<!-- ### Live Console -->
 
-1. Either run the file `console_exe.py` with the Python Interpreter or issue the command `py -3 console_exe.py`
+<!-- 1. Either run the file `console_exe.py` with the Python Interpreter or issue the command `py -3 console_exe.py`
 2. Select your source of data input and run it
    - currently the only working data source is "teensy"
-   - 
+   -  -->