#!/usr/bin/env python3

"""Analyze the test outcomes from a full CI run.

This script can also run on outcomes from a partial run, but the results are
less likely to be useful.
"""

import argparse
import sys
import traceback

import check_test_cases

class Results:
    """Process analysis results."""

    def __init__(self):
        self.error_count = 0
        self.warning_count = 0

    @staticmethod
    def log(fmt, *args, **kwargs):
        sys.stderr.write((fmt + '\n').format(*args, **kwargs))

    def error(self, fmt, *args, **kwargs):
        self.log('Error: ' + fmt, *args, **kwargs)
        self.error_count += 1

    def warning(self, fmt, *args, **kwargs):
        self.log('Warning: ' + fmt, *args, **kwargs)
        self.warning_count += 1

class TestCaseOutcomes:
    """The outcomes of one test case across many configurations."""
    # pylint: disable=too-few-public-methods

    def __init__(self):
        # Collect a list of witnesses of the test case succeeding or failing.
        # Currently we don't do anything with witnesses except count them.
        # The format of a witness is determined by the read_outcome_file
        # function; it's the platform and configuration joined by ';'.
        self.successes = []
        self.failures = []

    def hits(self):
        """Return the number of times a test case has been run.

        This includes passes and failures, but not skips.
        """
        return len(self.successes) + len(self.failures)

def analyze_coverage(results, outcomes):
    """Check that all available test cases are executed at least once."""
    available = check_test_cases.collect_available_test_cases()
    for key in available:
        hits = outcomes[key].hits() if key in outcomes else 0
        if hits == 0:
            # Make this a warning, not an error, as long as we haven't
            # fixed this branch to have full coverage of test cases.
            results.warning('Test case not executed: {}', key)

def analyze_driver_vs_reference(outcomes, components, ignored_tests):
    """Check that all tests executed in the reference component are also
    executed in the corresponding driver component.
    Skip test suits provided in ignored_tests list.
    """
    driver_component = components[0]
    reference_component = components[1]
    available = check_test_cases.collect_available_test_cases()
    result = True

    for key in available:
        # Skip ignored test suites
        test_suit = key.split(';')[0] # retrieve test suit name
        test_suit = test_suit.split('.')[0] # retrieve main part of test suit name
        if test_suit in ignored_tests:
            continue
        # Continue if test was not executed by any component
        hits = outcomes[key].hits() if key in outcomes else 0
        if hits == 0:
            continue
        # Search for tests that run in reference component and not in driver component
        driver_test_passed = False
        reference_test_passed = False
        for entry in outcomes[key].successes:
            if driver_component in entry:
                driver_test_passed = True
            if reference_component in entry:
                reference_test_passed = True
        #if(driver_test_passed is True and reference_test_passed is False):
        #    print('{}: driver: passed; reference: skipped'.format(key))
        if(driver_test_passed is False and reference_test_passed is True):
            print('{}: driver: skipped/failed; reference: passed'.format(key))
            result = False
    return result

def analyze_outcomes(outcomes):
    """Run all analyses on the given outcome collection."""
    results = Results()
    analyze_coverage(results, outcomes)
    return results

def read_outcome_file(outcome_file):
    """Parse an outcome file and return an outcome collection.

An outcome collection is a dictionary mapping keys to TestCaseOutcomes objects.
The keys are the test suite name and the test case description, separated
by a semicolon.
"""
    outcomes = {}
    with open(outcome_file, 'r', encoding='utf-8') as input_file:
        for line in input_file:
            (platform, config, suite, case, result, _cause) = line.split(';')
            key = ';'.join([suite, case])
            setup = ';'.join([platform, config])
            if key not in outcomes:
                outcomes[key] = TestCaseOutcomes()
            if result == 'PASS':
                outcomes[key].successes.append(setup)
            elif result == 'FAIL':
                outcomes[key].failures.append(setup)
    return outcomes

def do_analyze_coverage(outcome_file, args):
    """Perform coverage analyze."""
    del args # unused
    outcomes = read_outcome_file(outcome_file)
    results = analyze_outcomes(outcomes)
    return results.error_count == 0

def do_analyze_driver_vs_reference(outcome_file, args):
    """Perform driver vs reference analyze."""
    components = args['components'].split(',')
    ignored_tests = args['ignored'].split(',')
    ignored_tests = ['test_suite_' + x for x in ignored_tests]
    # We need exactly 2 components to analyze (first driver and second reference)
    if(len(components) != 2 or "accel" not in components[0] or "reference" not in components[1]):
        print('Error: Wrong component list. Exactly 2 components are required (driver,reference). ')
        return False
    outcomes = read_outcome_file(outcome_file)
    return analyze_driver_vs_reference(outcomes, components, ignored_tests)

# List of tasks with function that can handle this task and additional arguments if required
# pylint: disable=line-too-long
TASKS = {
    'analyze_coverage':                 {
        'test_function': do_analyze_coverage,
        'args': {}},
    'analyze_driver_vs_reference_hash': {
        'test_function': do_analyze_driver_vs_reference,
        'args': {
            'components': 'test_psa_crypto_config_accel_hash_use_psa,test_psa_crypto_config_reference_hash_use_psa',
            'ignored': 'md,mdx,shax,entropy,hmac_drbg,random,psa_crypto_init,hkdf'}}
}
# pylint: enable=line-too-long

def main():
    try:
        parser = argparse.ArgumentParser(description=__doc__)
        parser.add_argument('outcomes', metavar='OUTCOMES.CSV',
                            help='Outcome file to analyze')
        parser.add_argument('--task', default='all',
                            help='Analyze to be done: all or analyze_coverage or '
                            'analyze_driver_vs_reference_hash')
        options = parser.parse_args()

        result = True

        if options.task == 'all':
            for task in TASKS:
                if not TASKS[task]['test_function'](options.outcomes, TASKS[task]['args']):
                    result = False
        elif options.task in TASKS:
            if not TASKS[options.task]['test_function'](options.outcomes,
                                                        TASKS[options.task]['args']):
                result = False
        else:
            print('Error: Unknown task: {}'.format(options.task))
            result = False

        if result is False:
            sys.exit(1)
        print("SUCCESS :-)")
    except Exception: # pylint: disable=broad-except
        # Print the backtrace and exit explicitly with our chosen status.
        traceback.print_exc()
        sys.exit(120)

if __name__ == '__main__':
    main()