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

'experimenter_2015'

film_obj = load_film_object(film_id)
film_obj.print_info()

*Film Information*
Title, Release Year: Experimenter (2015)
File Runtime: 01:38:03
Film Runtime (No Credits): 1:33:48

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 20.94
Avg. Brightness: 64
Avg. Contrast: 42

*Dialogue Cadence*
Sentences Per Minute: 15
Words Per Sentence 7.46
Questions Per Minute: 1.99
Pct. Questions: 13%

*Emotion*
Pct. Upset Faces: 64%
Laughs Per Minute: 0.14
Profanity Per Minute: 0.04
Words Per Profanity: 2588
Exclamations Per Minute: 0.27

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

14

*Plot Context*
Context Themes: Counter({'medical': 7})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'hats': 1, 'hat': 1})
Active Actions: Counter({'reflected': 7})

*Plot Context*
Held Items: Counter({'clipboard with a sheet': 19, 'clipboard with a list': 6})
Left Wearing: Counter({'tie': 1})

*Plot Context*
Context Themes: Counter({'dining': 1, 'drinking': 1})
Potential Common Locations: Counter({'kitchen': 1})
Potential Other Locations: Counter({'hallway': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'wine glasses': 50, 'glass of wine': 1})

*Plot Context*
Context Themes: Counter({'violence': 1, 'dining': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cigarette': 3, 'knife': 1})
Active Actions: Counter({'writing': 3, 'smoking': 1})

*Plot Context*
Named Participants: Counter({'williams': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'cigarette': 4})
Active Actions: Counter({'shaking': 1})

*Plot Context*
Establishing Shot Locations: Counter({'building': 3})
Descriptors: ['indoors', 'sitting']
Active Actions: Counter({'adjusts': 2, 'adjusting': 1})

*Plot Context*
Named Participants: Counter({'williams': 1, 'teacher': 1})
Descriptors: ['indoors', 'sitting']

*Plot Context*
Context Themes: Counter({'transit': 112, 'driving': 112})
Potential Common Locations: Counter({'car': 112})
Named Participants: Counter({'stanley': 1})
Descriptors: ['indoors', 'sitting']

*Plot Context*
Descriptors: ['sitting']

*Plot Context*
Context Themes: Counter({'violence': 5, 'dining': 5})
Establishing Shot Locations: Counter({'building': 3})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cigarette': 44, 'something': 5, 'remote': 5, 'knife': 5, 'book': 5, 'book with a picture': 4, 'book open': 4, 'object': 4, 'frisbee': 3, 'cell phone': 2, 'hand': 1, 'wine glasses': 1})
Active Actions: Counter({'reading': 8, 'pointing': 7, 'smoking': 4, 'shaking': 2, 'reaching': 1, 'brushing': 1})

*Plot Context*
Named Participants: Counter({'berlin': 1})
Descriptors: ['sitting']

*Plot Context*
Potential Other Locations: Counter({'street': 10})
Named Participants: Counter({'hank': 1})
Descriptors: ['outdoors', 'standing', 'crowded']
Left Wearing: Counter({'suit': 13, 'blue shirt': 3})

*Plot Context*
Context Themes: Counter({'work': 33})
Potential Common Locations: Counter({'office': 33})
Named Participants: Counter({'stanley': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'remote': 2})
Left Wearing: Counter({'suit': 4})

*Plot Context*
Context Themes: Counter({'dining': 238})
Potential Common Locations: Counter({'restaurant': 238})
Descriptors: ['indoors', 'sitting']

[None,
 None,
 None,
 None,
 None,
 None,
 None,
 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 Stanley Milgram.

I'm Mr. Williams.

film_obj.display_other_intros()

This is Sasha.

This is Sasha.