Metadata-Version: 2.1
Name: pycstruct
Version: 0.4.5
Summary: Binary data handling in Python using dictionaries
Home-page: http://github.com/midstar/pycstruct
Author: Joel Midstjärna
Author-email: joel.midstjarna@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/midstar/pycstruct/issues
Project-URL: Documentation, https://pycstruct.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/midstar/pycstruct
Keywords: struct,enum,bitfield,binary,protocol,dict,dictionary
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown

# pycstruct

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pycstruct is a python library for converting binary data to and from ordinary
python dictionaries.

Data is defined similar to what is done in C language structs, unions,
bitfields and enums.

Typical usage of this library is read/write binary files or binary data
transmitted over a network.

Following complex C types are supported:

- Structs
- Unions
- Bitfields
- Enums

These types may consist of any traditional data types (integer, unsigned integer, 
boolean and float) between 1 to 8 bytes large, arrays (lists), and strings (ASCII/UTF-8).

Structs, unions, biftfields and enums can be embedded inside other structs/unions
in any level. 

Individual elements can be stored / read in any byte order and alignment.

pycstruct also supports parsing of existing C language source code to
automatically generate the pycstruct definitions / instances.

Checkout the full documentation [here](https://pycstruct.readthedocs.io/en/latest/).

## Installation

Simply install the package using pip:

    python3 -m pip install pycstruct

## Example

Following C has a structure (person) with a set of elements
that are written to a binary file.

```c
#include <stdio.h>
#include <stdbool.h>
#include <string.h>

#pragma pack(1) // To secure no padding is added in struct

struct person 
{ 
    char name[50];
    unsigned int age;
    float height;
    bool is_male;
    unsigned int nbr_of_children;
    unsigned int child_ages[10];
};


void main(void) {
    struct person p;
    memset(&p, 0, sizeof(struct person));

    strcpy(p.name, "Foo Bar");
    p.age = 42;
    p.height = 1.75; // m
    p.is_male = true;
    p.nbr_of_children = 2;
    p.child_ages[0] = 7;
    p.child_ages[1] = 9;

    FILE *f = fopen("simple_example.dat", "w");
    fwrite(&p, sizeof(struct person), 1, f);
    fclose(f);
}
```

To read the binary file using pycstruct following code 
required.

```python
import pycstruct

person = pycstruct.StructDef()
person.add('utf-8', 'name', length=50)
person.add('uint32', 'age')
person.add('float32','height')
person.add('bool8', 'is_male')
person.add('uint32', 'nbr_of_children')
person.add('uint32', 'child_ages', length=10)

f = open('simple_example.dat','rb')
inbytes = f.read()
result = person.deserialize(inbytes)
f.close()

print(str(result))
```

The produced output will be::

    {'name': 'Foo Bar', 'is_male': True, 'nbr_of_children': 2, 
     'age': 42, 'child_ages': [7, 9, 0, 0, 0, 0, 0, 0, 0, 0], 
     'height': 1.75}

To write a binary file from python using the same structure
using pycstruct following code is required.

```python
import pycstruct

person = pycstruct.StructDef()
person.add('utf-8', 'name', length=50)
person.add('uint32', 'age')
person.add('float32','height')
person.add('bool8', 'is_male')
person.add('uint32', 'nbr_of_children')
person.add('uint32', 'child_ages', length=10)

mrGreen = {}
mrGreen['name'] = "MR Green"
mrGreen['age'] = 50
mrGreen['height'] = 1.93
mrGreen['is_male'] = True
mrGreen['nbr_of_children'] = 3
mrGreen['child_ages'] = [13,24,12]

buffer = person.serialize(mrGreen)

f = open('simple_example_mr_green.dat','wb')
f.write(buffer)
f.close()
```

## Parsing source files

pycstruct also supports parsing C source code defined in external
files or defined in strings.

Assume the C code listed in the first example is named
simple_example.c. Then you could parse the source
code instead of manually creating the definitions:

```python
import pycstruct

definitions = pycstruct.parse_file('simple_example.c')

with open('simple_example.dat', 'rb') as f:
    inbytes = f.read()

result = definitions['person'].deserialize(inbytes)

print(str(result))
```

The produced output will be the same is in the first example.

## Full documentation

Checkout the full documentation [here](https://pycstruct.readthedocs.io/en/latest/).

## Author and license

This application is written by Joel MidstjÃ¤rna and is licensed under the MIT License.

