#!/usr/bin/env python3
# -*- Coding: UTF-8 -*-

# ---------------------------------------------------------------------------
# Open Asset Import Library (ASSIMP)
# ---------------------------------------------------------------------------
#
# Copyright (c) 2006-2010, ASSIMP Development Team
#
# All rights reserved.
#
# Redistribution and use of this software in source and binary forms, 
# with or without modification, are permitted provided that the following 
# conditions are met:
# 
# * Redistributions of source code must retain the above
#   copyright notice, this list of conditions and the
#   following disclaimer.
# 
# * Redistributions in binary form must reproduce the above
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#   materials provided with the distribution.
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#   contributors may be used to endorse or promote products
#   derived from this software without specific prior
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT 
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE 
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# ---------------------------------------------------------------------------

"""
Run the regression test suite using settings from settings.py.

The assimp_cmd (or assimp) binary to use is specified by the first
command line argument and defaults to ``assimp``.

To build, set ``ASSIMP_BUILD_ASSIMP_TOOLS=ON`` in CMake. If generating
configs for an IDE, make sure to build the assimp_cmd project.

On Windows, use ``py run.py <path to assimp>`` to make sure the command
line parameter is forwarded to the script.
"""

import sys
import os
import subprocess
import zipfile
import collections

import settings
import utils

# -------------------------------------------------------------------------------
EXPECTED_FAILURE_NOT_MET, DATABASE_LENGTH_MISMATCH, \
DATABASE_VALUE_MISMATCH, IMPORT_FAILURE, \
FILE_NOT_READABLE, COMPARE_SUCCESS, EXPECTED_FAILURE = range(7)

messages = collections.defaultdict(lambda: "<unknown", {
        EXPECTED_FAILURE_NOT_MET:
"""Unexpected success during import\n\
\tReturn code was 0""",

        DATABASE_LENGTH_MISMATCH:
"""Database mismatch: lengths don't match\n\
\tExpected: {0} Actual: {1}""",

        DATABASE_VALUE_MISMATCH:
"""Database mismatch: """,

        IMPORT_FAILURE:
"""Unexpected failure during import\n\
\tReturn code was {0}""",

        FILE_NOT_READABLE:
"""Unexpected failure reading file""",

        COMPARE_SUCCESS:
"""Results match archived reference dump in database\n\
\tNumber of bytes compared: {0}""",

        EXPECTED_FAILURE:
"""Expected failure was met.""",
})

outfilename_output = "run_regression_suite_output.txt"
outfilename_failur = "run_regression_suite_failures.csv"
# -------------------------------------------------------------------------------
class results:
    
    """ Handle formatting of results"""

    def __init__(self, zipin):
        """Init, given a ZIPed database """
        self.failures = []
        self.success = []
        self.zipin = zipin
    
    
    def fail(self, failfile, filename_expect, pp, msg, *args):
        """
        Report failure of a sub-test
        
        File f failed a test for pp config pp, failure notice is msg, 
        *args is format()ting args for msg
        
        """
        print("[FAILURE] " + messages[msg].format(*args))
        self.failures.append((failfile, filename_expect, pp))


    def ok(self, f, pp, msg, *args):
        """
        Report success of a sub-test

        File f passed the test, msg is a happy success note, 
        *args is format()ing args for msg.

        """
        print("[SUCCESS] " + messages[msg].format(*args)) 
        self.success.append(f)


    def report_results(self):
        """Write results to ../results/run_regression_suite_failures.txt"""

        count_success = len(self.success)
        count_fail = len(self.failures)
        percent_good = float(count_success) / (count_success + count_fail)
        print("\n" + ('='*60) + "\n" + "SUCCESS: {0}\nFAILURE: {1}\nPercentage good: {2}".format(
            count_success, count_fail, percent_good) + 
              "\n" + ('='*60) + "\n")

        with open(os.path.join('..', 'results',outfilename_failur), "wt") as f:
            f.write("ORIGINAL FILE;EXPECTED DUMP\n")
            f.writelines(map(
                lambda x: x[0] + ' ' + x[2] + ";" + x[1] + "\n", self.failures))
        
        if self.failures:
           print("\nSee " + settings.results + "\\" + outfilename_failur 
                 + " for more details\n\n") 
    
    def hasFailures( self ):
        """ Return True, if any failures there. """
        return 0 != len( self.failures )
        
# -------------------------------------------------------------------------------
def prepare_output_dir(fullpath, myhash, app):
    outfile = os.path.join(settings.results, "tmp", os.path.split(fullpath)[1] + "_" + myhash)
    try:
        os.mkdir(outfile)
    except OSError:
        pass
    
    outfile = os.path.join(outfile, app)
    return outfile


# -------------------------------------------------------------------------------
def process_dir(d, outfile_results, zipin, result):
    shellparams = {'stdout':outfile_results, 'stderr':outfile_results, 'shell':False}

    print("Processing directory " + d)
    for f in sorted(os.listdir(d)):
        fullpath = os.path.join(d, f)
        if os.path.isdir(fullpath) and not f[:1] == '.':
            process_dir(fullpath, outfile_results, zipin, result)
            continue

        if f in settings.files_to_ignore or os.path.splitext(f)[1] in settings.exclude_extensions:
            print("Ignoring " + f)
            continue

        for pppreset in settings.pp_configs_to_test:
            filehash = utils.hashing(fullpath, pppreset)
            failure = False

            try:
                input_expected = zipin.open(filehash, "r").read()
                # empty dump files indicate 'expected import failure'
                if not len(input_expected):
                   failure = True
            except KeyError:
                # TODO(acgessler): Keep track of this and report as error in the end.
                print("Didn't find "+fullpath+" (Hash is "+filehash+") in database. Outdated "+\
                    "regression database? Use gen_db.zip to re-generate.")
                continue

            print("-"*60 + "\n  " + os.path.realpath(fullpath) + " pp: " + pppreset) 
            
            outfile_actual = prepare_output_dir(fullpath, filehash, "ACTUAL")
            outfile_expect = prepare_output_dir(fullpath, filehash, "EXPECT")
            outfile_results.write("assimp dump    "+"-"*80+"\n")
            outfile_results.flush()
            command = [assimp_bin_path,
                "dump",
                fullpath, outfile_actual, "-b", "-s", "-l" ] +\
                pppreset.split()
            r = subprocess.call(command, **shellparams)
            outfile_results.flush()

            if r and not failure:
                result.fail(fullpath, outfile_expect, pppreset, IMPORT_FAILURE, r)
                outfile_results.write("Failed to import\n")
                continue
            elif failure and not r:
                result.fail(fullpath, outfile_expect, pppreset, EXPECTED_FAILURE_NOT_MET)
                outfile_results.write("Expected import to fail\n")
                continue
            elif failure and r:
                result.ok(fullpath, pppreset, EXPECTED_FAILURE) 
                outfile_results.write("Failed as expected, skipping.\n")
                continue
            
            with open(outfile_expect, "wb") as s:
                s.write(input_expected) 

            try:    
                with open(outfile_actual, "rb") as s:
                    input_actual = s.read() 
            except IOError:
                continue
                
            outfile_results.write("Expected data length: {0}\n".format(len(input_expected)))
            outfile_results.write("Actual data length: {0}\n".format(len(input_actual)))
            failed = False
            if len(input_expected) != len(input_actual):
                result.fail(fullpath, outfile_expect, pppreset, DATABASE_LENGTH_MISMATCH,
                        len(input_expected), len(input_actual))
                # Still compare the dumps to see what the difference is
                failed = True

            outfile_results.write("assimp cmpdump "+"-"*80+"\n")
            outfile_results.flush()
            command = [ assimp_bin_path, 'cmpdump', outfile_actual, outfile_expect ]
            if subprocess.call(command, **shellparams) != 0:
                if not failed:
                    result.fail(fullpath, outfile_expect, pppreset, DATABASE_VALUE_MISMATCH)
                continue 
            
            result.ok(fullpath, pppreset, COMPARE_SUCCESS, len(input_expected))     

# -------------------------------------------------------------------------------
def del_folder_with_contents(folder):
    for root, dirs, files in os.walk(folder, topdown=False):
        for name in files:
            os.remove(os.path.join(root, name))
        for name in dirs:
            os.rmdir(os.path.join(root, name))
    

# -------------------------------------------------------------------------------
def run_test():
    tmp_target_path = os.path.join(settings.results, "tmp")
    try: 
        os.mkdir(tmp_target_path) 
    except OSError as oerr:
        # clear contents if tmp folder exists already
       del_folder_with_contents(tmp_target_path)

    try:
        zipin = zipfile.ZipFile(settings.database_name + ".zip",
            "r", zipfile.ZIP_STORED)
    
    except IOError:
        print("Regression database ", settings.database_name,
              ".zip was not found")
        return

    res = results(zipin)
    with open(os.path.join(settings.results, outfilename_output), "wt") as outfile:
        for tp in settings.model_directories:
            process_dir(tp, outfile, zipin, res)

    res.report_results()
    if res.hasFailures():
        return 1
        
    return 0
        

# -------------------------------------------------------------------------------
if __name__ == "__main__":
    assimp_bin_path = sys.argv[1] if len(sys.argv) > 1 else 'assimp'
    print('Using assimp binary: ' + assimp_bin_path)
    sys.exit( run_test() )

# vim: ai ts=4 sts=4 et sw=4