With STM32CubeMonitor tool, logged data are saved in a .stcm file. This format allows to :
- Import directly the data in a ST chart
- Recover the data file in an other flow
Nevertheless, some manipulations are allowed by a .csv file and not by a .stcm file, such as :
- When a data issue occurs, the user can easily analyse the data with a .csv file
- Open the csv file in a spreadsheet editor.
- Share the data with other users
There are two solutions to get a csv file :
- Convert the .stcm file in .csv,
- Export data directly in a .csv file from the flow.
Both options are described in this wiki. User must select the solution which fits better for his application.
1. Convert .stcm log file to a .csv file
It is possible to convert the generated .stcm log file in a .csv to easily manage your data.
1.1. Import the flow
Import the following flow into the STM32CubeMonitor workspace :
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Menu > Import > Clipboard and Copy/Paste the .json formatted flow in the area, click on Import. The flow is now imported into the STM32CubeMonitor workspace.
1.2. Configure the flow
Before doing the first file conversion, the flow needs to be configured :
- "Set file name" : in the "Set msg.filename to ..." set to [STCM_File_Absolute_Path]. Here is an example of configuration :
- "Format CSV Header" : this node is used to define the .csv file column names. Fill the "Set msg.payload to ..." field by putting the .csv column names in the "to" field. The user needs to choose to display one timestamp for all variables monitored at the same time, or to display each timestamp for each variable. The data are acquired like this :
Time_Data1, Value_Data1, Time_Data2, Value_Data2 ...
Example of configuration :
- To display one timestamp for all variables monitored at the same time :
- To display the timestamp of each variable :
- "Group variables parameters" : To configure this node two parameters are needed :
- Number of Variables : the number of monitored variables
- Single Time : a boolean value to define if the user wants to display (or not) the timestamp for each variable (default value sets to False) :
- True : Only one timestamp
- False : One timestamp for each variable
1.3. Convert the file to .csv file
When everything is configured, press the square button of "Start" node to launch the conversion.
To find the .csv file, go in same folder than the .stcm one. In this folder, a new .csv file (with the same name than the .stcm one) has been created.
1.4. How the flow works ?
The conversion is started on the press of the Start button. The read file node parse each line of the log file and send it to the "Group variables" subflow. Then the subflow format the data in a ".csv way" and send it to the file node. This file node create a new file : the .csv file corresponding to its .stcm.
How the "Group variables" subflow works ? This subflow associates the values with the same timestamp and then let the choice to the user to display (or not) the duplicates timestamp. Finally, it will format the data in a ".csv way".
2. Log data directly in a .csv file
This method allows the user to directly generate a .csv file without passing through a .stcm file.
2.1. Import the flow
To perform this, import the following flow in the STM32CubeMonitor workspace :
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Menu > Import > Clipboard and Copy/Paste the .json formatted flow in the area, click on Import. The flow is now imported into the STM32CubeMonitor workspace. The flow attached is a complete flow : you may need to merge it with your existing flow or to configure it for your acquisition (set probes, variables, ..)
2.2. Configure the flow
Configure the “Select .csv variables” subflows
For each monitored variable, add a “select .csv variables” subflow connected to the processing node output
To configure each subflow, only one parameter is needed : the name of the variable to filter. One subflow is needed for each variable you want to log. In the “Variable name” field put the exact name of the filtered variable. {{Warning | Be careful, the variable name has to be exactly the same as that in the processing node (without space before and after). You can copy/paste it from the processing node}
Configure the “Group variables” subflow
To configure this subflow two parameters are needed :
- Number of Variables : the number of monitored variables
- Single Time : a boolean value to define if the user wants to display (or not) the timestamp for each variable (default value sets to False) :
- True : Only one timestamp
- False : One timestamp for each variable
Configure the "File" node
In the “file node”, set the absolute path of the .csv file you want to create.
2.3. Generate the .csv file
The csv file is updated during the acquisition process.
To find the .csv file, go in the folder defined in the “file node”. In this folder, a new .csv file has been created.
2.4. How the flow works ?
The data sent at the output of the processing node are then sent to the "select .csv variables" subflow (one subflow per monitored variable). This subflow filters each variable and send it to another subflow : "Group variables". This last subflow will group, sort and format the data to create the .csv file.
2.4.1. “Select .csv variables” subflow
This subflow has several roles :
- Filters each variables by its name
- Formats the header of the .csv file
- Finally, sends all the data to the “Group variables” subflow
2.4.2. “Group variables” subflow
This subflow associates the values with the same timestamp and then deletes timestamp duplicatas depending on the user's choice. Finally, it will format the data in a ".csv way".