def process_sequence()

in pelican/plugins/asfdata.py [0:0]

• 86 lines of code
• 17 McCabe index (conditional complexity)

def process_sequence(metadata, seq, sequence, load, debug):
    reference = load
    # has been converted to a sequence
    is_sequence = False
    # has been converted to a dictionary - won't be made into a sequence
    is_dictionary = False
    # save metadata at the end
    save_metadata = True

    # description
    if debug and 'description' in sequence:
        print(f'{seq}: {sequence["description"]}')

    # select sub dictionary
    if 'path' in sequence:
        if debug:
            print(f'path: {sequence["path"]}')
        parts = sequence['path'].split('.')
        for part in parts:
            reference = reference[part]

    # filter dictionary by attribute value. if filter is false discard
    if 'where' in sequence:
        if debug:
            print(f'where: {sequence["where"]}')
        where_parts(reference, sequence['where'])

    # remove irrelevant keys
    if 'trim' in sequence:
        if debug:
            print(f'trim: {sequence["trim"]}')
        parts = sequence['trim'].split(',')
        for part in parts:
            remove_part(reference, part)

    # transform roster and chair patterns
    if 'asfid' in sequence:
        if debug:
            print(f'asfid: {sequence["asfid"]}')
        asfid_part(reference, sequence['asfid'])

    # add first letter ofr alphabetic categories
    if 'alpha' in sequence:
        if debug:
            print(f'alpha: {sequence["alpha"]}')
        alpha_part(reference, sequence['alpha'])

    # this dictionary is derived from sub-dictionaries
    if 'dictionary' in sequence:
        if debug:
            print(f'dictionary: {sequence["dictionary"]}')
        reference = { }
        paths = sequence['dictionary'].split(',')
        # create a dictionary from the keys in one or more sub-dictionaries
        for path in paths:
            for key in load[path]:
                reference[key] = load[path][key]
        # dictionary result, do not sequence
        is_dictionary = True

    # this sequence is derived from another sequence
    if 'sequence' in sequence:
        if debug:
            print(f'sequence: {sequence["sequence"]}')
        reference = metadata[sequence['sequence']]
        # sequences derived from prior sequences do not need to be converted to a sequence
        is_sequence = True

    # this sequence is a random sample of another sequence
    if 'random' in sequence:
        if debug:
            print(f'random: {sequence["random"]}')
        if is_sequence:
            reference = random.sample(reference, sequence['random'])
        else:
            print(f'{seq} - random requires an existing sequence to sample')

    # for a project or podling see if the logo exists w/HEAD and set the relative path.
    if 'logo' in sequence:
        if debug:
            print(f'logo: {sequence["logo"]}')
        if is_sequence:
            # determine the project or podling logo
            reference = add_logo(reference, sequence['logo'])
            if seq == 'featured_pods':
                # for podlings strip "Apache" from the beginning and "(incubating)" from the end.
                # this is Sally's request
                for item in reference:
                    setattr(item, 'name', ' '.join(item.name.split(' ')[1:-1]))
        else:
            print(f'{seq} - logo requires an existing sequence')

    # this sequence is a sorted list divided into multiple columns
    if 'split' in sequence:
        if debug:
            print(f'split: {sequence["split"]}')
        if is_sequence:
            # create a sequence for each column
            split_list(metadata, seq, reference, sequence['split'])
            # created column sequences are already saved to metadata so do not do so later
            save_metadata = False
        else:
            print(f'{seq} - split requires an existing sequence to split')

    if 'truncate' in sequence:
        multiple = int(sequence["truncate"])
        reference = int(reference / multiple) * multiple

    # if this not already a sequence or dictionary then convert to a sequence
    if not is_sequence and not is_dictionary:
        # convert the dictionary/list to a sequence of objects
        if debug:
            print(f'{seq}: create sequence')
        if isinstance(reference, dict):
            reference = sequence_dict(seq, reference)
        elif isinstance(reference, list):
            reference = sequence_list(seq, reference)

    # save sequence in metadata
    if save_metadata:
        metadata[seq] = reference
        try:
            metadata[f'{seq}_size'] = len(reference)
        except TypeError: # allow for integer
            pass