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# Authors: Andreas Sandberg

from __future__ import print_function
from __future__ import absolute_import

from m5 import fatal
import m5.objects
import inspect
import sys
from textwrap import TextWrapper

# Dictionary of mapping names of real CPU models to classes.
_cpu_classes = {}


def is_cpu_class(cls):
    """Determine if a class is a CPU that can be instantiated"""

    # We can't use the normal inspect.isclass because the ParamFactory
    # and ProxyFactory classes have a tendency to confuse it.
    try:
        return issubclass(cls, m5.objects.BaseCPU) and \
            not cls.abstract and \
            not issubclass(cls, m5.objects.CheckerCPU)
    except (TypeError, AttributeError):
        return False

def _cpu_subclass_tester(name):
    cpu_class = getattr(m5.objects, name, None)

    def tester(cls):
        return cpu_class is not None and cls is not None and \
            issubclass(cls, cpu_class)

    return tester

is_kvm_cpu = _cpu_subclass_tester("BaseKvmCPU")
is_noncaching_cpu = _cpu_subclass_tester("NonCachingSimpleCPU")

def get(name):
    """Get a CPU class from a user provided class name or alias."""

    try:
        cpu_class = _cpu_classes[name]
        return cpu_class
    except KeyError:
        print("%s is not a valid CPU model." % (name,))
        sys.exit(1)

def print_cpu_list():
    """Print a list of available CPU classes including their aliases."""

    print("Available CPU classes:")
    doc_wrapper = TextWrapper(initial_indent="\t\t", subsequent_indent="\t\t")
    for name, cls in _cpu_classes.items():
        print("\t%s" % name)

        # Try to extract the class documentation from the class help
        # string.
        doc = inspect.getdoc(cls)
        if doc:
            for line in doc_wrapper.wrap(doc):
                print(line)

def cpu_names():
    """Return a list of valid CPU names."""
    return list(_cpu_classes.keys())

def config_etrace(cpu_cls, cpu_list, options):
    if issubclass(cpu_cls, m5.objects.DerivO3CPU):
        # Assign the same file name to all cpus for now. This must be
        # revisited when creating elastic traces for multi processor systems.
        for cpu in cpu_list:
            # Attach the elastic trace probe listener. Set the protobuf trace
            # file names. Set the dependency window size equal to the cpu it
            # is attached to.
            cpu.traceListener = m5.objects.ElasticTrace(
                                instFetchTraceFile = options.inst_trace_file,
                                dataDepTraceFile = options.data_trace_file,
                                depWindowSize = 3 * cpu.numROBEntries)
            # Make the number of entries in the ROB, LQ and SQ very
            # large so that there are no stalls due to resource
            # limitation as such stalls will get captured in the trace
            # as compute delay. For replay, ROB, LQ and SQ sizes are
            # modelled in the Trace CPU.
            cpu.numROBEntries = 512;
            cpu.LQEntries = 128;
            cpu.SQEntries = 128;
    else:
        fatal("%s does not support data dependency tracing. Use a CPU model of"
              " type or inherited from DerivO3CPU.", cpu_cls)

# Add all CPUs in the object hierarchy.
for name, cls in inspect.getmembers(m5.objects, is_cpu_class):
    _cpu_classes[name] = cls


from m5.defines import buildEnv
from importlib import import_module
for package in [ "generic", buildEnv['TARGET_ISA']]:
    try:
        package = import_module(".cores." + package,
                                package=__name__.rpartition('.')[0])
    except ImportError:
        # No timing models for this ISA
        continue

    for mod_name, module in inspect.getmembers(package, inspect.ismodule):
        for name, cls in inspect.getmembers(module, is_cpu_class):
            _cpu_classes[name] = cls