Bugfixes for building pal from Windows using CMake

Signed-off-by: JaredWright <[email protected]>

CMakeLists.txt

@@ -17,7 +17,7 @@ else()
 endif()
 
 add_custom_command(
-    COMMAND PYTHONPATH=${PYTHONPATH} ${Python3_EXECUTABLE} -m pal
+    COMMAND ${Python3_EXECUTABLE} ${CMAKE_CURRENT_LIST_DIR}/pal.py
         -o ${PAL_OUTPUT_DIR}/pal
         --arch=${PAL_TARGET_ARCH}
         --language=${PAL_TARGET_LANGUAGE}

PreLoad.cmake

@@ -0,0 +1,5 @@
+# Ninja is the only supported CMake generator on Windows
+if(${CMAKE_HOST_SYSTEM_NAME} STREQUAL Windows)
+    message(STATUS "Using CMake Generator: Ninja")
+    set(CMAKE_GENERATOR "Ninja" CACHE INTERNAL "")
+endif()

README.md

@@ -12,7 +12,7 @@ Is your software so tightly coupled to your CPU that unit testing seems impossib
 
 The Bareflank **P**rocessor **A**bstraction **L**ayer transforms facts about your CPU into a software support library. This lets you access and manipulate the low-level details of your hardware through a convinient software API. Supose you are working on a C++ project for the Intel platform, and compiling/assembling with a GNU toolchain:
 
-0. Install Python > 3.6 and ```pip install lxml dataclasses colorama pyyaml```
+0. Install Python > 3.6, and then ```pip3 install lxml dataclasses colorama pyyaml```
 
 1. Generate a PAL for your project:
 
@@ -61,6 +61,10 @@ cmake ../pal -DPAL_TARGET_ARCH=armv8-a -DPAL_ACCESS_MECHANISM=gas_aarch64
 make
 ```
 
+If you would like to build PAL using CMake on Windows, install the 
+[ninja](https://github.com/ninja-build/ninja/releases)
+build tool first.
+
 ## Does PAL generate *everything* from the \<insert_vendor_name\> manual?
 Not yet, but it does support a whole lot. Is the project missing something that you need? Help us add it! There are a few different ways you can contribute new defintions to the project:
 

pal/parser/pal_model_parser.py

@@ -21,7 +21,7 @@ def parse_file(self, path):
             if "__template__" in path:
                 return []
 
-            with open(path, "r") as infile:
+            with open(path, "r", encoding="utf8") as infile:
                 data = load(infile, Loader)
 
                 for item in data: