78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
"""
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API function for retrieving course blocks data
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"""
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from lms.djangoapps.course_blocks.api import get_course_blocks, COURSE_BLOCK_ACCESS_TRANSFORMERS
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from openedx.core.lib.block_structure.transformers import BlockStructureTransformers
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from .transformers.blocks_api import BlocksAPITransformer
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from .transformers.proctored_exam import ProctoredExamTransformer
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from .serializers import BlockSerializer, BlockDictSerializer
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def get_blocks(
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request,
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usage_key,
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user=None,
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depth=None,
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nav_depth=None,
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requested_fields=None,
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block_counts=None,
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student_view_data=None,
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return_type='dict',
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):
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"""
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Return a serialized representation of the course blocks.
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Arguments:
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request (HTTPRequest): Used for calling django reverse.
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usage_key (UsageKey): Identifies the starting block of interest.
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user (User): Optional user object for whom the blocks are being
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retrieved. If None, blocks are returned regardless of access checks.
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depth (integer or None): Identifies the depth of the tree to return
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starting at the root block. If None, the entire tree starting at
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the root is returned.
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nav_depth (integer): Optional parameter that indicates how far deep to
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traverse into the block hierarchy before bundling all the
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descendants for navigation.
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requested_fields (list): Optional list of names of additional fields
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to return for each block. Supported fields are listed in
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transformers.SUPPORTED_FIELDS.
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block_counts (list): Optional list of names of block types for which to
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return an aggregate count of blocks.
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student_view_data (list): Optional list of names of block types for
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which blocks to return their student_view_data.
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return_type (string): Possible values are 'dict' or 'list'. Indicates
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the format for returning the blocks.
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"""
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# create ordered list of transformers, adding BlocksAPITransformer at end.
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transformers = BlockStructureTransformers()
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if user is not None:
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transformers += COURSE_BLOCK_ACCESS_TRANSFORMERS + [ProctoredExamTransformer()]
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transformers += [
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BlocksAPITransformer(
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block_counts,
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student_view_data,
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depth,
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nav_depth
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)
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]
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# transform
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blocks = get_course_blocks(user, usage_key, transformers)
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# serialize
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serializer_context = {
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'request': request,
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'block_structure': blocks,
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'requested_fields': requested_fields or [],
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}
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if return_type == 'dict':
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serializer = BlockDictSerializer(blocks, context=serializer_context, many=False)
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else:
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serializer = BlockSerializer(blocks, context=serializer_context, many=True)
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# return serialized data
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return serializer.data
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