
import sys
sys.path.append('../../')
from moviegoer.tables import film_id_from_film_directory, load_film_object
from random import choice


film_id = film_id_from_film_directory()
film_id

'the_last_ride_2012'


film_obj = load_film_object(film_id)
film_obj.print_info()

*Film Information*
Title, Release Year: The Last Ride (2012)
File Runtime: 01:44:18
Film Runtime (No Credits): 1:38:41

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 13.94
Avg. Brightness: 42
Avg. Contrast: 37

*Dialogue Cadence*
Sentences Per Minute: 13
Words Per Sentence 6.52
Questions Per Minute: 2.18
Pct. Questions: 17%

*Emotion*
Pct. Upset Faces: 73%
Laughs Per Minute: 0.14
Profanity Per Minute: 0.47
Words Per Profanity: 180
Exclamations Per Minute: 0.31


print(len(film_obj.scene_objects))
film_obj.display_scenes()

18

*Plot Context*
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'pen': 1, 'pair of glasses': 1, 'stack of papers': 1})
Left Wearing: Counter({'white shirt': 33})
Right Wearing: Counter({'suit': 69})

*Plot Context*
Context Themes: Counter({'dining': 2})
Potential Other Locations: Counter({'booth': 2})
Establishing Shot Locations: Counter({'building': 17})
Named Participants: Counter({'buddy': 1})
Descriptors: ['indoors', 'standing']
Left Wearing: Counter({'beanie': 6, 'beanie standing': 3, 'beanie talking': 2})
Right Wearing: Counter({'cowboy hat and a white tie': 32, 'cowboy hat and a black shirt': 4, 'hat and a white tie': 1, 'hat and a tie': 1})

*Plot Context*
Context Themes: Counter({'dining': 156, 'drinking': 5, 'violence': 1})
Potential Common Locations: Counter({'restaurant': 114})
Establishing Shot Locations: Counter({'building': 7})
Named Participants: Counter({'announcer on radlo': 1, 'hell': 1, 'man': 1, 'wgn chicago': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cup': 11, 'coffee cup': 5, 'knife': 1, 'coffee pot': 1, 'cell phone': 1})
Active Actions: Counter({'eating': 41, 'drinking': 5, 'cut': 4, 'held': 2, 'getting': 1, 'brushing': 1, 'handed': 1, 'pouring': 1})
Left Wearing: Counter({'black jacket': 12})
Right Wearing: Counter({'black shirt': 9, 'suit': 5, 'shirt and a white tie': 3, 'tie': 3, 'tie and a black shirt': 1})

*Plot Context*
Context Themes: Counter({'transit': 215, 'driving': 178})
Potential Common Locations: Counter({'car': 178})
Potential Other Locations: Counter({'road': 14})
Descriptors: ['outdoors', 'sitting', 'rain']
Active Actions: Counter({'driving': 37})

*Plot Context*
Context Themes: Counter({'transit': 186, 'driving': 149, 'drinking': 28})
Potential Common Locations: Counter({'car': 149})
Establishing Shot Locations: Counter({'building': 10})
Named Participants: Counter({'sllas': 1, 'sorbonne': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'beer bottle': 5, 'bottle': 1, 'camera': 1})
Active Actions: Counter({'driving': 37, 'drinking': 23, 'open': 2})

*Plot Context*
Named Participants: Counter({'operator': 2, 'man': 1, 'silas combs': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'glass': 2})
Active Actions: Counter({'covered': 10, 'lit': 4})
Left Wearing: Counter({'vest': 7})

*Plot Context*
Context Themes: Counter({'transit': 406, 'driving': 404, 'drinking': 3})
Potential Common Locations: Counter({'car': 404})
Establishing Shot Locations: Counter({'building': 2})
Named Participants: Counter({'chorus on radlo': 1})
Descriptors: ['indoors', 'sitting', 'rain']
Held Items: Counter({'cup with something': 9, 'drink': 4, 'flask': 3, 'cell phone': 1, 'metal object': 1, 'metal cup': 1})
Active Actions: Counter({'drinking': 3, 'driving': 2, 'using': 1, 'sleeping': 1})
Left Wearing: Counter({'cowboy hat': 32, 'hat': 13, 'hat sitting': 3})

*Plot Context*
Establishing Shot Locations: Counter({'building': 18})
Named Participants: Counter({'son': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'pen': 14, 'books and a pen': 1})
Active Actions: Counter({'reading': 2})
Right Wearing: Counter({'leather jacket': 100})

*Plot Context*
Context Themes: Counter({'violence': 2, 'dining': 2})
Establishing Shot Locations: Counter({'building': 9})
Named Participants: Counter({'hamllton': 1, 'sorbonne': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'piece of paper': 3, 'knife': 2, 'hat standing': 1, 'cigarette': 1, 'book': 1, 'pair of scissors': 1, 'wallet': 1, 'record player': 1, 'hand': 1})
Active Actions: Counter({'laughing': 3, 'lit': 2, 'making': 1})
Left Wearing: Counter({'black shirt': 12, 'glasses and a black shirt': 3, 'glasses': 3})
Right Wearing: Counter({'leather jacket': 98})


film_obj.chart_all_dialogue_emotional_indicators()


film_obj.chart_all_dialogue_shape()


film_obj.chart_all_dialogue_question_proportion()


film_obj.display_color_shots()


rand_scene = None
if film_obj.dialogue_objects:
    rand_scene = choice(film_obj.dialogue_objects)
    rand_scene.display_qna_frames()


if rand_scene:
    rand_scene.display_first_p_sentence_frames()


if rand_scene:
    rand_scene.display_second_p_address_frames()


film_obj.display_laughs()

[]


film_obj.display_unintelligible_language()


film_obj.display_self_intros()


film_obj.display_other_intros()