"""
API function for retrieving course blocks data
"""

from .transformers.blocks_api import BlocksAPITransformer
from .transformers.proctored_exam import ProctoredExamTransformer
from .serializers import BlockSerializer, BlockDictSerializer
from lms.djangoapps.course_blocks.api import get_course_blocks, COURSE_BLOCK_ACCESS_TRANSFORMERS


def get_blocks(
        request,
        usage_key,
        user=None,
        depth=None,
        nav_depth=None,
        requested_fields=None,
        block_counts=None,
        student_view_data=None,
        return_type='dict'
):
    """
    Return a serialized representation of the course blocks.

    Arguments:
        request (HTTPRequest): Used for calling django reverse.
        usage_key (UsageKey): Identifies the root block of interest.
        user (User): Optional user object for whom the blocks are being
            retrieved. If None, blocks are returned regardless of access checks.
        depth (integer or None): Identifies the depth of the tree to return
            starting at the root block.  If None, the entire tree starting at
            the root is returned.
        nav_depth (integer): Optional parameter that indicates how far deep to
            traverse into the block hierarchy before bundling all the
            descendants for navigation.
        requested_fields (list): Optional list of names of additional fields
            to return for each block.  Supported fields are listed in
            transformers.SUPPORTED_FIELDS.
        block_counts (list): Optional list of names of block types for which to
            return an aggregate count of blocks.
        student_view_data (list): Optional list of names of block types for
            which blocks to return their student_view_data.
        return_type (string): Possible values are 'dict' or 'list'. Indicates
            the format for returning the blocks.
    """
    # construct BlocksAPITransformer
    blocks_api_transformer = BlocksAPITransformer(
        block_counts,
        student_view_data,
        depth,
        nav_depth
    )

    # list of transformers to apply, adding user-specific ones if user is provided
    transformers = []
    if user is not None:
        transformers += COURSE_BLOCK_ACCESS_TRANSFORMERS + [ProctoredExamTransformer()]
    transformers += [blocks_api_transformer]

    blocks = get_course_blocks(
        user,
        usage_key,
        transformers=transformers,
    )

    # serialize
    serializer_context = {
        'request': request,
        'block_structure': blocks,
        'requested_fields': requested_fields or [],
    }

    if return_type == 'dict':
        serializer = BlockDictSerializer(blocks, context=serializer_context, many=False)
    else:
        serializer = BlockSerializer(blocks, context=serializer_context, many=True)

    # return serialized data
    return serializer.data