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

'american_sniper_2014'

film_obj = load_film_object(film_id)
film_obj.print_info()

*Film Information*
Title, Release Year: American Sniper (2014)
File Runtime: 02:12:38
Film Runtime (No Credits): 2:06:18

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 10.35
Avg. Brightness: 73
Avg. Contrast: 47

*Dialogue Cadence*
Sentences Per Minute: 18
Words Per Sentence 4.77
Questions Per Minute: 2.23
Pct. Questions: 12%

*Emotion*
Pct. Upset Faces: 56%
Laughs Per Minute: 0.15
Profanity Per Minute: 1.47
Words Per Profanity: 58
Exclamations Per Minute: 2.00

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

3

*Plot Context*
Context Themes: Counter({'dining': 139, 'transit': 133, 'driving': 124, 'intimacy': 1})
Potential Common Locations: Counter({'kitchen': 139, 'car': 124})
Potential Other Locations: Counter({'field': 8, 'road': 8, 'doorway': 2, 'barn': 1, 'street': 1})
Named Participants: Counter({'man': 5, 'chris': 3, 'd': 3, 'jeff': 2, 'sarah': 2, 'baby': 1, 'woman': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'fence': 7, 'cell phone': 5, 'hand': 3, 'rail': 1, 'hands': 1, 'arms': 1, 'frisbee': 1, 'piece of paper': 1})
Active Actions: Counter({'riding': 44, 'parked': 21, 'driving': 9, 'sit': 2, 'brushing': 1, 'working': 1, 'putting': 1, 'watches': 1, 'throwing': 1, 'hugging': 1, 'making': 1, 'open': 1, 'dancing': 1})
Left Wearing: Counter({'cowboy hat': 6, 'hats': 1})
Right Wearing: Counter({'cowboy hat': 1})

*Plot Context*
Named Participants: Counter({'chris': 1, 'd': 1})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'taking': 21})

*Plot Context*
Context Themes: Counter({'violence': 1, 'dining': 1})
Establishing Shot Locations: Counter({'building': 3})
Named Participants: Counter({'babe': 2, 'baby': 1})
Descriptors: ['indoors']
Held Items: Counter({'hand': 2, 'hand out': 1, 'knife': 1, 'nose': 1})
Active Actions: Counter({'covers': 9, 'open': 3, 'laughing': 3, 'covering': 2, 'hand': 1, 'yelling': 1, 'crying': 1})

[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()

SPEAKlNG IN FOREIGN LANGUAGE

SPEAKlNG IN FOREIGN LANGUAGE

SPEAKlNG IN FOREIGN LANGUAGE

SPEAKlNG IN FOREIGN LANGUAGE

SPEAKlNG IN FOREIGN LANGUAGE

film_obj.display_self_intros()

I'm Chris Kyle.

My name is Mads.

film_obj.display_other_intros()

This is Agent Snead, DIA.

Hey, this is Taya.

Hey, this is Taya.