Updated CMake and tests, wrote README

Added instructions on how to build GDAL Sandbox using GDAL and PROJ build from sources
Updated test data

oss-internship-2020/gdal/raster_to_gtiff/CMakeLists.txt

@@ -37,13 +37,6 @@ add_library(libproj STATIC IMPORTED)
 set_property(TARGET libproj PROPERTY IMPORTED_LOCATION
             "${LIBPROJ_PREFIX}/libproj.a")
 
-message("${LIBGDAL_PREFIX}/libgdal.a")
-message("${LIBPROJ_PREFIX}/libproj.a")
-
-# TODO: Try using libgdal-dev and libgdal-proj with SAPI inside Docker or other other isolated environment
-# TODO: Document both install from sources and install from package workflow
-# TODO: Use environment variables to distinguish between those workflows on compile time
-
 target_link_libraries(libgdal INTERFACE
     crypto 
     expat 

oss-internship-2020/gdal/raster_to_gtiff/README.md

@@ -1,3 +1,4 @@
+
 # GDAL Raster to GeoTIFF Workflow Sandbox
 This repository is an example of how Sandboxed API can be used with GDAL C Raster API to implement the creation of the GeoTIFF dataset inside the sandbox.
 
@@ -5,7 +6,7 @@ This repository is an example of how Sandboxed API can be used with GDAL C Raste
 Implemented workflow consists of a few steps:
 1. Register needed drivers inside the sandbox
 2. Get specific driver by name (GTiff)
-3. Map output file inside the sandbox and create GeoTIFF dataset backed by this file
+3. Map output file inside the sandbox and create a GeoTIFF dataset backed by this file
 4. Set affine transformation coefficients if needed
 5. Set projection reference string if needed
 6. Write raster bands data to the dataset using RasterIO
@@ -13,9 +14,54 @@ Implemented workflow consists of a few steps:
 7. Clean up data and close the dataset
 
 ## Implementation details
+This project consists of a CMake file that shows how you can connect Sandboxed API and GDAL, a raster data parser using unsandboxed GDAL to generate sample input for the sandboxed workflow, sample sandbox policy that could work with GeoTIFF files without any violations, command-line utility that uses sandboxed GDAL to implement the workflow and GoogleTest unit tests to compare raster data of original datasets with the raster data of datasets that have been created inside the sandbox.
 
-## Build details
+## Build GDAL sandbox
+To build a GDAL sandbox, it's required to have a static build of libgdal and libproj. Moreover, proj.db file path is required to be able to map it inside the sandbox and use it internally for some of the projections.
 
 ### Build GDAL and PROJ from sources
+To get the latest version of both GDAL and PROJ you will need to build them from sources.
+First, you should build PROJ with this [tutorial](https://proj.org/install.html#compilation-and-installation-from-source-code).
+After the installation, you should have a static build of libproj, remember the path as you will need to specify it later in CMake build.
+Then, get gdal sources using git submodules:
+`git submodule add https://github.com/OSGeo/gdal/`
+`git submodule update --init --recursive`
+After that you can go to the GDAL sources and make a static build of libgdal:
+`cd gdal/gdal`
+`./configure --with_proj=/path/to/proj/` 
+`make static-lib`
+**Note**: On the `./configure` step you should specify the path to your proj library as a `--with-proj=` argument to make everything work correctly.
+### Build GDAL using dev-packages
+### Build sandboxed GDAL
+To build the examples from this repository you can use CMake in the following way:
+```
+mkdir build
+cd build
+cmake .. -G Ninja -DSAPI_ROOT=/path/to/sapi
+```
+This build expects `lib/` folder with both `libgdal.a` and `libproj.a` to be present near the source files.
+Also, you need to have `gdal.h` header so Sandboxed API generator could parse it, the default expected path to it is `/usr/local/include`.
+Finally, you could enable tests with the `-DENABLE_TESTS=ON` option for the CMake.
+You can specify those paths as a CMake argument, so the complete example looks like this:
+```
+mkdir build
+cd build
+cmake .. -G Ninja -DSAPI_ROOT=/path/to/sapi    \
+-DGDAL_HEADER_PREFIX=/path/to/gdal/header      \
+-DLIBGDAL_PREFIX=/path/to/libgdal_static_build \
+-DLIBPROJ_PREFIX=/path/to/libproj_static_build \
+-DENABLE_TESTS=ON
+```
+After CMake build completed you can run `ninja` to build executables.
 
-## Examples
+## Examples
+Before running any of the examples, you need to specify the path to the `proj.db` using the environment variable.
+To do so, run `export PROJ_PATH=/path/to/proj.db`. Alternatively, if there is no such environment variable program will try to use the default path `/usr/local/share/proj/proj.db`.
+There is a simple command-line utility that takes path to the GeoTIFF file and absolute path to the output file as arguments, parses raster data from the input file and, re-creates the same GeoTIFF file (except some metadata) inside the sandbox.
+You can run it in the following way:
+`./raster_to_gtiff path/to/input.tif /absolute/path/to/output.tif`
+After that, you can compare both files using the `gdalinfo` utility.
+Also, there are unit tests that automatically convert a few files and then compare input and output raster data to make sure that they are equal.
+To run tests your CMake build must use `-DENABLE_TESTS=ON`, then you can run tests using `./tests`.
+
+All test data is from [osgeo samples](http://download.osgeo.org/geotiff/samples/).

oss-internship-2020/gdal/raster_to_gtiff/gdal_sandbox.h

@@ -58,10 +58,6 @@ class GdalSapiSandbox : public gdalSandbox {
             __NR_ftruncate,  // GTiffDataset::FillEmptyTiles()
             __NR_unlink,  // GDALDriver::Delete()
         })
-        // TODO: Deal with proj.db so you don't need to specify exact path ih the policy
-        // Add proj path a an environment variable, check it before calling constructor
-        // Use default path if there is no variable
-        // If there is no file on the default path return an error
         .AddFile(proj_db_path_)  // proj.db is required for some projections
         .AddDirectory(out_directory_path_, /*is_ro=*/false)
         .BuildOrDie();

oss-internship-2020/gdal/raster_to_gtiff/tests.cc

@@ -34,11 +34,9 @@ inline constexpr absl::string_view kProjDbEnvVariableName = "PROJ_PATH";
 inline constexpr absl::string_view kDefaultProjDbPath 
     = "/usr/local/share/proj/proj.db";
 inline constexpr absl::string_view kFirstTestDataPath = 
-    "../testdata/map.tif";
+    "../testdata/cea.tif";
 inline constexpr absl::string_view kSecondTestDataPath = 
-    "../testdata/map_large.tif";
-inline constexpr absl::string_view kThirdTestDataPath = 
-    "../testdata/earth_map.tif";
+    "../testdata/SP27GTIF.tif";
 
 std::optional<std::string> GetProjDbPath() {
   const char* proj_db_path_ptr = std::getenv(kProjDbEnvVariableName.data());
@@ -233,6 +231,41 @@ TEST_P(TestGTiffProcessor, TestProcessorOnGTiffData) {
   ASSERT_EQ(processor.Run(), absl::OkStatus())
       << "Error creating new GTiff dataset inside sandbox";
   
+  if (filename == "../testdata/erdas_spnad83.tif") {
+    auto data = parser::GetRasterBandsFromFile(tempfile_.GetPath());
+    std::cout << "Original:" << std::endl;
+    std::cout << original_bands_data.height << " " << original_bands_data.width << std::endl;
+    for (auto x : original_bands_data.geo_transform) {
+      std::cout << x << " ";
+    }
+    std::cout << std::endl;
+    std::cout << original_bands_data.wkt_projection << std::endl;
+    for (auto x : original_bands_data.bands) {
+      std::cout << x.data.size() << std::endl;
+      std::cout << x.color_interp << std::endl;
+      std::cout << x.data_type << std::endl;
+      std::cout << x.height << std::endl;
+      std::cout << x.width << std::endl;
+      std::cout << (x.no_data_value.has_value() ? x.no_data_value.value() : -1) << std::endl;
+    }
+    std::cout << "New:" << std::endl;
+    std::cout << data.height << " " << data.width << std::endl;
+    for (auto x : data.geo_transform) {
+      std::cout << x << " ";
+    }
+    std::cout << std::endl;
+    std::cout << data.wkt_projection << std::endl;
+    for (auto x : data.bands) {
+      std::cout << x.data.size() << std::endl;
+      std::cout << x.color_interp << std::endl;
+      std::cout << x.data_type << std::endl;
+      std::cout << x.height << std::endl;
+      std::cout << x.width << std::endl;
+      std::cout << (x.no_data_value.has_value() ? x.no_data_value.value() : -1) << std::endl;
+    }
+    std::cout << "Compare:" << std::endl;
+  }
+
   ASSERT_EQ(original_bands_data, 
       parser::GetRasterBandsFromFile(tempfile_.GetPath()))
       << "New dataset doesn't match the original one";
@@ -242,8 +275,8 @@ INSTANTIATE_TEST_CASE_P(
         GDALTests,
         TestGTiffProcessor,
         ::testing::Values(kFirstTestDataPath, 
-                          kSecondTestDataPath,
-                          kThirdTestDataPath)
+                          kSecondTestDataPath
+                          )
 );
 
 }  // namespace gdal::sandbox::tests