stm32-data

stm32-data is a project aiming to produce clean machine-readable data about the STM32 microcontroller families, including:

✔️ Base chip information
- RAM, flash
- Packages
✔️ Peripheral addresses and interrupts
✔️ Interrupts
✔️ GPIO AlternateFunction mappings (for all families except F1)
❌ GPIO mappings for F1
🚧 Register blocks for all peripherals
✔️ DMA stream mappings
❌ Per-package pinouts
✔️ Links to applicable reference manuals, datasheets, appnotes PDFs.

✔️ = done, 🚧 = work in progress, ❌ = to do

Data sources

These are the data sources currently used.

STM32Cube database: describes all MCUs, with useful stuff like GPIO AF mappings, DMA stream mappings, pinouts...
stm32-rs SVDs: register blocks. YAMLs are extracted and manually cleaned up.

Install pre-requisites

In order to run the generator, you will need to install the following tools:

wget
git
jq
svd – pip3 install svdtools

Generating the YAMLs

Run ./d download-all
Run python3 -m stm32data

This generates all the YAMLs in data/ except those in data/registers/, which are manually extracted and cleaned up.

Do not manually edit the files in data/chips, contents of these files are autogenerated. Assignments of registers to peripherals is done in the file parse.py and fixes to registers can be done in the files located in data/registers.

Extracting new register blocks

For instance, to add support for the G0 series first download all the source SVDs:

$ ./d download-all

Now extract the RCC peripheral registers:

./d install-chiptool
./d extract-all RCC --transform ./transform-RCC.yaml

Note that we have used a transform to mechanically clean up some of the RCC definitions. This will produce a YAML file for each chip model in ./tmp/RCC.

Sometimes the peripheral name will not match the name defined in the SVD files, check the SVD file for the correct peripheral name.

At this point we need to choose the model with the largest peripheral set (e.g. the STM32G081) and compare its YAML against each of the other models' to verify that they are all mutually consistent.

Finally, we can merge

./merge_regs.py tmp/RCC/g0*.yaml

This will produce regs_merged.yaml, which we can copy into its final resting place:

mv regs_merged.yaml data/registers/rcc_g0.yaml

To assign these newly generated registers to peripherals, utilize the mapping done in parse.py. An example mapping can be seen in the following snippet

('STM32G0.*:RCC:.*', 'rcc_g0/RCC'),

such mapping assignes the rcc_g0/RCC register block to the RCC peripheral in every device from the STM32G0 family.

The pattern for matching is as follows:

CHIP:PERIPHERAL:PERIPHERAL_KIND

Thanks to this, you can for example match peripherals with the same name, but different versions.

('.*:SPI:spi2s1_v2_2', 'spi_v1/SPI'),
('.*:SPI:spi2s1_v3_2', 'spi_v2/SPI'),

When matching the peripherals using the pattern, the first defined pattern is applied if more of the patterns would match.

('STM32F7.*:TIM1:.*', 'timer_v1/TIM_ADV'),
('STM32F7.*:TIM8:.*', 'timer_v1/TIM_ADV'),
('.*TIM\d.*:gptimer.*', 'timer_v1/TIM_GP16'),

Peripheral versions

The versions of peripherals can be found in the table here.

VasanthakumarV / stm32-data