Goal

Build out Django Models for our different apps (accounts, bets, fighters, and fights)

Notes

I still need to handle pre-signed URLs wen referencing media files via S3, however I wanted to take a break from all that and work on establishing the actual data that will go into each of these different apps. I can use these notes to build out my ideas about the type of information I'll need to have access to for my bets / users.

I started with the fighters class because that is the one I'm most interested in building up. A fighter's stats that determine the odds of their fight are listed below:

{'strike_attempt_successes': 115.0,
 'strike_attempt_failures': 65.0,
 'strike_defense_successes': 37.0,
 'strike_defense_failures': 28.0,
 'sig_strike_attempt_successes': 45.0,
 'sig_strike_attempt_failures': 59.0,
 'head_strike_attempts': 35.0,
 'body_strike_attempts': 35.0,
 'leg_strike_attempts': 5.0,
 'takedown_attempt_successes': 2.0,
 'takedown_attempt_failures': 1.0,
 'takedown_defense_successes': 2.0,
 'takedown_defense_failures': 1.0,
 'submission_attempt_successes': 0.0,
 'submission_attempt_failures': 0.0,
 'submission_defense_successes': 0.0,
 'submission_defense_failures': 1.0,
 'control_time_success': 8.85,
 'control_time_failure': 2.033333333333333,
 'total_fight_time': 1047.0,
 'strikes_per_second': 0.1728748806112703,
 'submissions_per_second': 0.11299435028248588,
 'takedowns_per_second': 0.006269592476489028,
 'movements_per_second': 0.01,
 'knock_downs': 1.0,
 'strike_victories': {'distance': {'Punch': [5.2, 0.0, 0.0],
   'Kick': [0.0, 0.0, 0.05],
   'Elbow': [0.0, 0.0, 0.0],
   'Knee': [0.0, 0.0, 0.0]},
  'clinch': {'Punch': [0.1, 0.0, 0.0],
   'Kick': [0.0, 0.0, 0.0],
   'Elbow': [0.05, 0.0, 0.0],
   'Knee': [0.0, 0.0, 0.0]},
  'dominant_ground': {'Punch': [0.7000000000000001, 0.0, 0.0],
   'Elbow': [0.25, 0.0, 0.0],
   'Knee': [0.05, 0.0, 0.0]},
  'unsecure_ground': {'Punch': [0.44999999999999996, 0.0, 0.0],
   'Kick': [0.0, 0.0, 0.0],
   'Elbow': [0.0, 0.0, 0.0]}}}

• fighters
  • Fighter
    • id
    • date_of_birth
    • prefix (from the Name class)
    • name (from the Name class)
    • suffix (from the Name class)
    • title (prefix + name + suffix)
    • biography
    • is_athiest
    • is_abstinent
    • is_badboy
    • has_visited_ancient_temple
    • has_monastic_training
    • is_roastmaster
    • is_derranged
    • is_radioactive
    • is_on_drugs
    • is_retired
    • is_deceased
    • current_rank
    • spirit_fighter
    • rarity?
      • common
      • uncommon
      • rare
      • exotic
      • legendary
    • height
    • weight
    • reach
    • stance
    • FK cosmetics
  • Name
    • id
    • value
    • type
      • prefix
      • name
      • suffix
    • rarity
      • common
      • uncommon
      • rare
      • exotic
      • legendary
  • Cosmetic
    • id
    • type
      • beard
      • body
      • earring
      • glasses
      • gloves
      • hair
      • necklace
      • shoes
      • tattoos
      • shorts
    • rarity
      • common
      • uncommon
      • rare
      • exotic
      • legendary
    • color_shift_r
    • color_shift_g
    • color_shift_b
    • img
    • metadata

Continued to implement this into my app. I got the fighter stats up (with the exception of some time stats) then started to work on cosmetics. What's cool about the way I'm setting it up is that I only have to reference the cosmetic in the database to pull it. I can also reference all fighters with a given cosmetic using the ForeignKey Django Model using a command like the following:

some_cosmetic.fighters_hair.all()

which would return all of the fighter ids associated with a given cosmetic (some_cosmetic)

I also found out that Django supports saving JSON files, even within PostgreSQL databases. This makes storing metadata for Spritesheets much easier.

I also found out that there is a faker package in Python that allows a user to generate fake data. This could be fun to use when generating fighters...

Results

• Started working on the Django Models for the Fighters App.

Next Time

• Continue working on Django Models