def topline_note_passes_topline_distance_constraint(
note, previous_chord_topline_position, max_topline_distance):
note_position = note
if not isinstance(note, int):
note_position = midi_tools.note_to_numeral(note)
return abs(note_position -
previous_chord_topline_position) <= max_topline_distance
def chord_to_topline_int(chord):
"""
Covert chord topline to an integer for the purpose of comparing
topline height of adjacent chords.
We just convert MIDI numeral here, as it has comparison built-in, assigning
higher numerals to higher notes.
"""
as_numerals = []
for note in chord:
numeral = midi_tools.note_to_numeral(note)
as_numerals.append(numeral)
return max(as_numerals)
def select_notes_that_satisfy_topline_constraints(self, allowed_notes,
previous_chord):
required_notes_in_chord = []
previous_chord_topline_position = music_theory.chord_to_topline_int(
previous_chord)
note_choices_to_add_to_chord = allowed_notes.copy()
# Pre-select candidates for topline notes and require the chord to have one of them.
allowed_highest_notes = []
for note in allowed_notes:
note_pos = midi_tools.note_to_numeral(note)
if topline_note_passes_topline_constraints(
self.get_current_topline_direction(), note,
previous_chord_topline_position,
self.max_topline_distance):
allowed_highest_notes.append(note)
highest_note_choice = random.choice(allowed_highest_notes)
highest_note_index = note_choices_to_add_to_chord.index(
highest_note_choice)
# Remove that note from the remaining choices.
note_choices_to_add_to_chord = note_choices_to_add_to_chord[:highest_note_index] + note_choices_to_add_to_chord[
highest_note_index + 1:]
required_notes_in_chord.append(highest_note_choice)
# Remove notes from candidates that would violate the topline constraints from above
note_choices_to_add_to_chord_filtered = []
for note in note_choices_to_add_to_chord:
passes_topline_constraints = non_topline_note_meets_topline_constraints(
self.get_current_topline_direction(), note,
previous_chord_topline_position, self.max_topline_distance)
if self.get_current_topline_direction(
) == 'unequal' and midi_tools.note_to_numeral(
note) == previous_chord_topline_position:
continue
if passes_topline_constraints:
note_choices_to_add_to_chord_filtered.append(note)
note_choices_to_add_to_chord = note_choices_to_add_to_chord_filtered
return required_notes_in_chord, note_choices_to_add_to_chord
def topline_note_passes_topline_constraints(current_topline_direction, candidate_note, previous_chord_topline_position, max_topline_distance):
if previous_chord_topline_position is None:
return True
candidate_topline_note_position = candidate_note
if not isinstance(candidate_topline_note_position, int):
candidate_topline_note_position = midi_tools.note_to_numeral(candidate_topline_note_position)
passes_topline_distance_constraint = topline_note_passes_topline_distance_constraint(candidate_topline_note_position, previous_chord_topline_position, max_topline_distance)
if current_topline_direction == "any":
passes_contour_constraint = True
else:
passes_contour_constraint = chord_passes_topline_contour_constraint(current_topline_direction, candidate_topline_note_position, previous_chord_topline_position)
return passes_topline_distance_constraint and passes_contour_constraint
def calculate_number_of_note_changes(chord_a, chord_b):
to_int = lambda x: midi_tools.note_to_numeral(x)
midi_int_a = map(to_int, chord_a)
midi_int_b = map(to_int, chord_b)
deletions = 0
for numeral_a in midi_int_a:
if numeral_a not in midi_int_b:
deletions += 1
additions = 0
for numeral_b in midi_int_b:
if numeral_b not in midi_int_a:
additions += 1
return max(additions, deletions)
def non_topline_note_meets_topline_constraints(current_topline_direction, non_topline_note, previous_chord_topline_position, max_topline_distance):
"""
If the contour is "down" and the topline distance is 3 semitones, any non-topline note above the
previous chord's topline will be rejected.
If the contour is "strictdown" and the topline distance is 3 semitones, any non-topline note above the
previous chord's topline will be rejected.
"""
if previous_chord_topline_position is None:
return True
note_position = non_topline_note
if not isinstance(non_topline_note, int):
note_position = midi_tools.note_to_numeral(non_topline_note)
passes_topline_distance_constraint = non_topline_note_passes_topline_distance_constraint(note_position, previous_chord_topline_position, max_topline_distance)
if current_topline_direction == "strictdown" and note_position >= previous_chord_topline_position:
return False
if current_topline_direction == "down" and note_position > previous_chord_topline_position:
return False
if current_topline_direction == "equal" and note_position > previous_chord_topline_position:
return False
return passes_topline_distance_constraint
def generate_chords(self):
ClientLogger.log('Generating new chord progression in {} {}.'.format(
self.key.upper(), self.scale_name))
result_chord_progression = []
result_chord_names = []
previous_chord = []
previous_chord_degree = '?'
previous_chord_name = '', ''
while len(result_chord_progression) < self.length:
# We measure "beats" in whole notes. Each chord is a whole note.
self.current_beat = len(result_chord_progression)
user_progression_applied = False
for item in self.user_progression:
if item != 'any' and item is not None:
user_progression_applied = True
# Perform weighted coin toss to use a pre-selected chord progression
use_chord_progression_from_library = decide_will_event_occur(
self.chance_to_use_common_progression)
if user_progression_applied:
use_chord_progression_from_library = False
# Which chord progressions fit in the remaining space?
allowed_progressions = []
good_progressions = []
if self.parent_scale_code in good_chord_progressions:
good_progressions = good_chord_progressions[
self.parent_scale_code]
else:
good_progressions = good_chord_progressions[
self.contains_scale]
for progression in good_progressions:
if len(progression['roman_numerals']) + len(
result_chord_progression) < self.length:
allowed_progressions.append(progression)
preselected_progression = None
if use_chord_progression_from_library:
preselected_progression = random.choice(allowed_progressions)
elif user_progression_applied:
preselected_progression = {
'roman_numerals': self.user_progression,
'name': 'User-supplied progression'
}
if (use_chord_progression_from_library and
len(allowed_progressions) > 0) or user_progression_applied:
progression_chords, progression_chord_names, lines_to_log = self.materialize_chord_progression(
preselected_progression, previous_chord,
previous_chord_degree)
if progression_chords is None:
continue
result_chord_progression += progression_chords
result_chord_names += progression_chord_names
previous_chord = result_chord_progression[-1]
previous_chord_name = result_chord_names[-1]
previous_chord_degree = preselected_progression[
'roman_numerals'][-1]
for line in lines_to_log:
ClientLogger.log(line)
progression_str = pretty_print_progression(
preselected_progression['roman_numerals'])
ClientLogger.log(
'{} progression complete.'.format(progression_str))
else:
chord, chord_name, chord_degree, generation_method = self.generate_next_chord(
previous_chord, previous_chord_degree, previous_chord_name)
result_chord_progression.append(chord)
result_chord_names.append(chord_name)
previous_chord = chord
previous_chord_name = chord_name
previous_chord_degree = chord_degree
ClientLogger.log(
'Added {} ( {} ). Generation pathway: \n{}'.format(
previous_chord_name[0], previous_chord_degree,
generation_method))
result_chord_progression_labeled_with_midi_numerals = []
for i in range(len(result_chord_progression)):
chord = result_chord_progression[i]
labeled_chord = []
for note in chord:
note['numeral'] = midi_tools.note_to_numeral(note)
labeled_chord.append(note)
result_chord_progression_labeled_with_midi_numerals.append(
labeled_chord)
cache_key = convert_chord_to_cache_key(chord)
chord_knowledge.chord_name_caches[
'key-scale'] = self.key + self.scale
chord_knowledge.chord_name_caches[cache_key] = result_chord_names[
i]
chord_knowledge.chord_name_caches['key-scale'] = self.key.lower(
) + self.scale
prettified_progression = [item[1] for item in result_chord_names]
prettified_progression = ' -> '.join(prettified_progression)
ClientLogger.log('\n')
ClientLogger.log('The progression in numerals:')
ClientLogger.log(prettified_progression)
t = result_chord_progression_labeled_with_midi_numerals
flattened = [item for sublist in t for item in sublist]
flattened = [n['note'].upper() for n in flattened]
notes_used = list(set(flattened))
notes_used = music_theory.sort_relative_to_tonic(
notes_used, self.key.upper())
ClientLogger.log('\n')
ClientLogger.log('Notes used: {}'.format(notes_used))
ClientLogger.log('--------')
ClientLogger.log('Generation settings: {}'.format(self.all_settings))
return result_chord_progression_labeled_with_midi_numerals, result_chord_names
