You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

212 lines
8.2 KiB

:mod:`uctypes` -- access binary data in a structured way
.. include:: ../templates/
.. module:: uctypes
:synopsis: access binary data in a structured way
This module implements "foreign data interface" for MicroPython. The idea
behind it is similar to CPython's ``ctypes`` modules, but the actual API is
different, streamlined and optimized for small size. The basic idea of the
module is to define data structure layout with about the same power as the
C language allows, and then access it using familiar dot-syntax to reference
.. seealso::
Module :mod:`struct`
Standard Python way to access binary data structures (doesn't scale
well to large and complex structures).
Defining structure layout
Structure layout is defined by a "descriptor" - a Python dictionary which
encodes field names as keys and other properties required to access them as
associated values. Currently, uctypes requires explicit specification of
offsets for each field. Offset are given in bytes from a structure start.
Following are encoding examples for various field types:
* Scalar types::
"field_name": offset | uctypes.UINT32
in other words, value is scalar type identifier ORed with field offset
(in bytes) from the start of the structure.
* Recursive structures::
"sub": (offset, {
"b0": 0 | uctypes.UINT8,
"b1": 1 | uctypes.UINT8,
i.e. value is a 2-tuple, first element of which is offset, and second is
a structure descriptor dictionary (note: offsets in recursive descriptors
are relative to the structure it defines).
* Arrays of primitive types::
"arr": (offset | uctypes.ARRAY, size | uctypes.UINT8),
i.e. value is a 2-tuple, first element of which is ARRAY flag ORed
with offset, and second is scalar element type ORed number of elements
in array.
* Arrays of aggregate types::
"arr2": (offset | uctypes.ARRAY, size, {"b": 0 | uctypes.UINT8}),
i.e. value is a 3-tuple, first element of which is ARRAY flag ORed
with offset, second is a number of elements in array, and third is
descriptor of element type.
* Pointer to a primitive type::
"ptr": (offset | uctypes.PTR, uctypes.UINT8),
i.e. value is a 2-tuple, first element of which is PTR flag ORed
with offset, and second is scalar element type.
* Pointer to an aggregate type::
"ptr2": (offset | uctypes.PTR, {"b": 0 | uctypes.UINT8}),
i.e. value is a 2-tuple, first element of which is PTR flag ORed
with offset, second is descriptor of type pointed to.
* Bitfields::
"bitf0": offset | uctypes.BFUINT16 | lsbit << uctypes.BF_POS | bitsize << uctypes.BF_LEN,
i.e. value is type of scalar value containing given bitfield (typenames are
similar to scalar types, but prefixes with "BF"), ORed with offset for
scalar value containing the bitfield, and further ORed with values for
bit offset and bit length of the bitfield within scalar value, shifted by
BF_POS and BF_LEN positions, respectively. Bitfield position is counted
from the least significant bit, and is the number of right-most bit of a
field (in other words, it's a number of bits a scalar needs to be shifted
right to extract the bitfield).
In the example above, first a UINT16 value will be extracted at offset 0
(this detail may be important when accessing hardware registers, where
particular access size and alignment are required), and then bitfield
whose rightmost bit is *lsbit* bit of this UINT16, and length
is *bitsize* bits, will be extracted. For example, if *lsbit* is 0 and
*bitsize* is 8, then effectively it will access least-significant byte
of UINT16.
Note that bitfield operations are independent of target byte endianness,
in particular, example above will access least-significant byte of UINT16
in both little- and big-endian structures. But it depends on the least
significant bit being numbered 0. Some targets may use different
numbering in their native ABI, but ``uctypes`` always uses the normalized
numbering described above.
Module contents
.. class:: struct(addr, descriptor, layout_type=NATIVE)
Instantiate a "foreign data structure" object based on structure address in
memory, descriptor (encoded as a dictionary), and layout type (see below).
Layout type for a little-endian packed structure. (Packed means that every
field occupies exactly as many bytes as defined in the descriptor, i.e.
the alignment is 1).
.. data:: BIG_ENDIAN
Layout type for a big-endian packed structure.
.. data:: NATIVE
Layout type for a native structure - with data endianness and alignment
conforming to the ABI of the system on which MicroPython runs.
.. function:: sizeof(struct)
Return size of data structure in bytes. Argument can be either structure
class or specific instantiated structure object (or its aggregate field).
.. function:: addressof(obj)
Return address of an object. Argument should be bytes, bytearray or
other object supporting buffer protocol (and address of this buffer
is what actually returned).
.. function:: bytes_at(addr, size)
Capture memory at the given address and size as bytes object. As bytes
object is immutable, memory is actually duplicated and copied into
bytes object, so if memory contents change later, created object
retains original value.
.. function:: bytearray_at(addr, size)
Capture memory at the given address and size as bytearray object.
Unlike bytes_at() function above, memory is captured by reference,
so it can be both written too, and you will access current value
at the given memory address.
Structure descriptors and instantiating structure objects
Given a structure descriptor dictionary and its layout type, you can
instantiate a specific structure instance at a given memory address
using :class:`uctypes.struct()` constructor. Memory address usually comes from
following sources:
* Predefined address, when accessing hardware registers on a baremetal
system. Lookup these addresses in datasheet for a particular MCU/SoC.
* As a return value from a call to some FFI (Foreign Function Interface)
* From uctypes.addressof(), when you want to pass arguments to an FFI
function, or alternatively, to access some data for I/O (for example,
data read from a file or network socket).
Structure objects
Structure objects allow accessing individual fields using standard dot
notation: ``my_struct.substruct1.field1``. If a field is of scalar type,
getting it will produce a primitive value (Python integer or float)
corresponding to the value contained in a field. A scalar field can also
be assigned to.
If a field is an array, its individual elements can be accessed with
the standard subscript operator ``[]`` - both read and assigned to.
If a field is a pointer, it can be dereferenced using ``[0]`` syntax
(corresponding to C ``*`` operator, though ``[0]`` works in C too).
Subscripting a pointer with other integer values but 0 are supported too,
with the same semantics as in C.
Summing up, accessing structure fields generally follows C syntax,
except for pointer dereference, when you need to use ``[0]`` operator
instead of ``*``.
Accessing non-scalar fields leads to allocation of intermediate objects
to represent them. This means that special care should be taken to
layout a structure which needs to be accessed when memory allocation
is disabled (e.g. from an interrupt). The recommendations are:
* Avoid nested structures. For example, instead of
``mcu_registers.peripheral_a.register1``, define separate layout
descriptors for each peripheral, to be accessed as
* Avoid other non-scalar data, like array. For example, instead of
``peripheral_a.register[0]`` use ``peripheral_a.register0``.
Note that these recommendations will lead to decreased readability
and conciseness of layouts, so they should be used only if the need
to access structure fields without allocation is anticipated (it's
even possible to define 2 parallel layouts - one for normal usage,
and a restricted one to use when memory allocation is prohibited).