import os
import yaml
import glob
import logging


log = logging.getLogger(__name__)


file_pattern_cache = {}
file_path_cache = {}


class Loader(yaml.SafeLoader):
    def __init__(self, stream):
        self._root = os.path.split(stream.name)[0]
        super(Loader, self).__init__(stream)
        Loader.add_constructor('!include', Loader.include)
        Loader.add_constructor('!import', Loader.include)

    def include(self, node):
        if isinstance(node, yaml.ScalarNode):
            return self.extractFile(self.construct_scalar(node))

        elif isinstance(node, yaml.SequenceNode):
            result = []
            for filename in self.construct_sequence(node):
                result += self.extractFile(filename)
            return result

        elif isinstance(node, yaml.MappingNode):
            result = {}
            for k, v in self.construct_mapping(node).items():
                result[k] = self.extractFile(v)[k]
            return result

        else:
            log.error("unrecognised node type in !include statement")
            raise yaml.constructor.ConstructorError

    def extractFile(self, filename):
        file_pattern = os.path.join(self._root, filename)
        log.debug('Will attempt to extract schema from: {0}'.format(file_pattern))
        if file_pattern in file_pattern_cache:
            log.debug('File pattern cache hit: {0}'.format(file_pattern))
            return file_pattern_cache[file_pattern]

        data = dict()
        for file_path in glob.glob(file_pattern):
            file_path = os.path.abspath(file_path)
            if file_path in file_path_cache:
                log.debug('Schema cache hit: {0}'.format(file_path))
                path_data = file_path_cache[file_path]
            else:
                log.debug('Loading schema from {0}'.format(file_path))
                with open(file_path, 'r') as f:
                    path_data = yaml.load(f, Loader)
                file_path_cache[file_path] = path_data
            data.update(path_data)

        file_pattern_cache[file_pattern] = data
        return data


def load_file(filename):
    """Loads a YAML file from the given filename.

    If the filename is omitted or None, attempts will be made to load it from
    its normal location in the parent of the utils directory.

    The awx_data dict loaded with this method supports value randomization,
    thanks to the RandomizeValues class. See that class for possible options

    Example usage in data.yaml (quotes are important!):

    top_level:
      list:
      - "{random_str}"
      - "{random_int}"
      - "{random_uuid}"
      random_thing: "{random_string:24}"
    """
    from py.path import local

    if filename is None:
        this_file = os.path.abspath(__file__)
        path = local(this_file).new(basename='../data.yaml')
    else:
        path = local(filename)

    if path.check():
        with open(path, 'r') as fp:
            # FIXME - support load_all()
            return yaml.load(fp, Loader=Loader)
    else:
        msg = 'Unable to load data file at %s' % path
        raise Exception(msg)
