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

'prom_night_2008'

film_obj = load_film_object(film_id)
film_obj.print_info()

*Film Information*
Title, Release Year: Prom Night (2008)
File Runtime: 01:29:10
Film Runtime (No Credits): 1:24:27

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 7.66
Avg. Brightness: 45
Avg. Contrast: 37

*Dialogue Cadence*
Sentences Per Minute: 14
Words Per Sentence 5.22
Questions Per Minute: 2.12
Pct. Questions: 15%

*Emotion*
Pct. Upset Faces: 65%
Laughs Per Minute: 0.05
Profanity Per Minute: 0.15
Words Per Profanity: 470
Exclamations Per Minute: 1.68

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

7

*Plot Context*
Context Themes: Counter({'transit': 89, 'driving': 89})
Potential Common Locations: Counter({'car': 89})
Descriptors: ['sitting']
Left Wearing: Counter({'white jacket': 13})

*Plot Context*
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cell phone': 3})

*Plot Context*

*Plot Context*
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'hands together': 5, 'cell phone': 2})
Active Actions: Counter({'crossed': 4})
Right Wearing: Counter({'brown jacket': 1})

*Plot Context*
Context Themes: Counter({'dining': 10, 'drinking': 4})
Potential Common Locations: Counter({'restaurant': 10, 'bar': 4})
Descriptors: ['indoors']
Right Wearing: Counter({'white shirt': 25})

*Plot Context*
Context Themes: Counter({'fancy': 10})
Establishing Shot Locations: Counter({'bus': 2})
Named Participants: Counter({'all': 1, 'crissy': 1})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'make': 1})
Left Wearing: Counter({'dress': 2})
Right Wearing: Counter({'suit': 23})

*Plot Context*
Context Themes: Counter({'intimacy': 1})
Establishing Shot Locations: Counter({'building': 2})
Named Participants: Counter({'hicks': 1})
Descriptors: ['indoors']
Active Actions: Counter({'kissing': 1})

[None, None, None, None, None, None, None]

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()

I'm Detective Nash with the Bridgeport Police Department.

I'm Detective Nash.

film_obj.display_other_intros()