import sys
sys.path.append('../../../../')
import os
from moviegoer.tables import load_film_object, film_id_and_scene_id_from_scene_directory
film_id, scene_id = film_id_and_scene_id_from_scene_directory()
scene_id
'd_3955_4123'
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()
*Plot Context*
Establishing Shot Locations: Counter({'building': 113})
Named Participants: Counter({'sam': 8, 'reggie': 4, 'mulatto': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cell phone': 1})
Active Actions: Counter({'making': 11, 'playing': 5, 'open': 1, 'lit': 1, 'using': 1})
Left Wearing: Counter({'yellow shirt': 82})
Right Wearing: Counter({'yellow tank top': 1, 'tank top': 1})
scene_obj.display_anchor_shots()
scene_obj.display_scene_frames_large()
scene_obj.print_info()
*Scene Information* Scene ID: d_3955_4123 Start Frame: 3955~25 End Frame: 4123~00 Scene Time: 01:05:55 - 01:08:43 Scene Runtime: 0:02:48 *Technical Details* Aspect Ratio: 1.78 Avg. Shot Duration: 15.27 Avg. Brightness: 65 Avg. Contrast: 38 *Dialogue Cadence* Sentences Per Minute: 22 Words Per Sentence 5.84 Questions Per Minute: 4.62 Pct. Questions: 21% *Emotion* Laughs Per Minute: 0.00 Profanity Per Minute: 1.78 Words Per Profanity: 71 Exclamations Per Minute: 1.42
scene_obj.display_cutaway_shots()
scene_obj.display_qna_frames()
scene_obj.display_first_p_sentence_frames()
scene_obj.display_second_p_address_frames()
scene_obj.display_exclamations()
scene_obj.display_laughs()
[]
scene_obj.display_unintelligible_language()
scene_obj.display_long_take_shots()
[]
scene_obj.display_color_shots()