X-Git-Url: https://gerrit.automotivelinux.org/gerrit/gitweb?a=blobdiff_plain;f=docs%2Findex.rst;h=cb7a201f4cd0c5ede7ea4cb7a733964482ff6230;hb=b663909fb6e86f0ae0f450523e72fb7fbfb719ab;hp=f2f8dcfd4f46113d95754fa19c6693c15a302cdd;hpb=5a9f85b87615078868d3b394370a30b550186cce;p=apps%2Fagl-service-can-low-level.git diff --git a/docs/index.rst b/docs/index.rst index f2f8dcfd..cb7a201f 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -13,20 +13,22 @@ Overall structure ================= For the runtime program, you always need *pb.h* for type declarations. -Depending on whether you want to encode, decode or both, you also need *pb_encode.h/c* or *pb_decode.h/c*. +Depending on whether you want to encode, decode, or both, you also need *pb_encode.h/c* or *pb_decode.h/c*. -The high-level encoding and decoding functions take an array of *pb_field_t* structures, which describes the fields of a message structure. Usually you want these autogenerated from a *.proto* file. The tool string *nanopb_generator.py* accomplishes this. +The high-level encoding and decoding functions take an array of *pb_field_t* structures, which describes the fields of a message structure. Usually you want these autogenerated from a *.proto* file. The tool script *nanopb_generator.py* accomplishes this. + +.. image:: generator_flow.png So a typical project might include these files: 1) Nanopb runtime library: - pb.h - - pb_decode.h and pb_decode.c - - pb_encode.h and pb_encode.c + - pb_decode.h and pb_decode.c (needed for decoding messages) + - pb_encode.h and pb_encode.c (needed for encoding messages) 2) Protocol description (you can have many): - - person.proto - - person.c (autogenerated, contains initializers for const arrays) - - person.h (autogenerated, contains type declarations) + - person.proto (just an example) + - person.pb.c (autogenerated, contains initializers for const arrays) + - person.pb.h (autogenerated, contains type declarations) Features and limitations ======================== @@ -34,20 +36,26 @@ Features and limitations **Features** #) Pure C runtime -#) Small code size (2–10 kB depending on processor) -#) Small ram usage (typically 200 bytes) +#) Small code size (2–10 kB depending on processor, plus any message definitions) +#) Small ram usage (typically ~300 bytes, plus any message structs) #) Allows specifying maximum size for strings and arrays, so that they can be allocated statically. -#) No malloc needed: everything is stored on the stack. +#) No malloc needed: everything can be allocated statically or on the stack. #) You can use either encoder or decoder alone to cut the code size in half. +#) Support for most protobuf features, including: all data types, nested submessages, default values, repeated and optional fields, packed arrays. +#) Callback mechanism for handling messages larger than can fit in available RAM. +#) Extensive set of tests. **Limitations** #) User must provide callbacks when decoding arrays or strings without maximum size. Malloc support could be added as a separate module. -#) Some speed has been sacrificed for code size. For example varint calculations are always done in 64 bits. +#) Some speed has been sacrificed for code size. #) Encoding is focused on writing to streams. For memory buffers only it could be made more efficient. #) The deprecated Protocol Buffers feature called "groups" is not supported. #) Fields in the generated structs are ordered by the tag number, instead of the natural ordering in .proto file. #) Unknown fields are not preserved when decoding and re-encoding a message. +#) Reflection (runtime introspection) is not supported. E.g. you can't request a field by giving its name in a string. +#) Numeric arrays are always encoded as packed, even if not marked as packed in .proto. This causes incompatibility with decoders that do not support packed format. +#) Cyclic references between messages are supported only in callback mode. Getting started =============== @@ -58,12 +66,12 @@ For starters, consider this simple message:: required int32 value = 1; } -Save this in *example.proto* and compile it:: +Save this in *message.proto* and compile it:: user@host:~$ protoc -omessage.pb message.proto - user@host:~$ python ../generator/nanopb_generator.py message.pb + user@host:~$ python nanopb/generator/nanopb_generator.py message.pb -You should now have in *example.h*:: +You should now have in *message.pb.h*:: typedef struct { int32_t value; @@ -80,10 +88,24 @@ Now in your main program do this to encode a message:: After that, buffer will contain the encoded message. The number of bytes in the message is stored in *stream.bytes_written*. -You can feed the message to *protoc --decode=Example example.proto* to verify its validity. +You can feed the message to *protoc --decode=Example message.proto* to verify its validity. + +For complete examples of the simple cases, see *tests/test_decode1.c* and *tests/test_encode1.c*. For an example with network interface, see the *example* subdirectory. + +Compiler requirements +===================== +Nanopb should compile with most ansi-C compatible compilers. It however requires a few header files to be available: + +#) *string.h*, with these functions: *strlen*, *memcpy*, *memset* +#) *stdint.h*, for definitions of *int32_t* etc. +#) *stddef.h*, for definition of *size_t* +#) *stdbool.h*, for definition of *bool* + +If these header files do not come with your compiler, you should be able to find suitable replacements online. Mostly the requirements are very simple, just a few basic functions and typedefs. + +Alternatively, you can define *PB_SYSTEM_HEADER*, which should be the name of a single header file including all the necessary definitions. + +Debugging and testing +===================== +Extensive unittests are included under the *tests* folder. Just type *make* there to run the tests. -Wishlist -======== -#) A specialized encoder for encoding to a memory buffer. Should serialize in reverse order to avoid having to determine submessage size beforehand. -#) A cleaner rewrite of the Python-based source generator. -#) Better performance for 16- and 8-bit platforms: use smaller datatypes where possible.