gametechmods

Robot Arena => General Support => Topic started by: G.K. on July 31, 2011, 05:16:07 AM

Title: GMF Queries
Post by: G.K. on July 31, 2011, 05:16:07 AM

I'm finishing the new arena I'm making for my next tournament, but I have a series of questions that surpass my current expertise with GMFs, an I was wondering if people could lend a hand with my questions.

Firstly, to merge two GMF's (Here an object with the main arena), do I just cut/paste the various sections from one to the other, and change the object number and texture ID's?

Title: Re: GMF Queries
Post by: JoeBlo on July 31, 2011, 05:44:19 AM

yes essentially you place all of the indented section for that object in the objects list and raise the count by 1

Then you have to put the texture stuff in, you will likely have to change the texture numbers so it doesn't conflict

Then rigidbody stuff if you want (thats optional)

Title: Re: GMF Queries
Post by: G.K. on July 31, 2011, 05:46:14 AM

Right, problem - I did so, but when it came to compiling, I got this error:

(https://gametechmods.com/uploads/images/19632gmfissues.jpg)

The arena works mostly, but the object I was trying to put in isn't there and the floor has lost its bitmap texture.

Title: Re: GMF Queries
Post by: JoeBlo on July 31, 2011, 05:52:36 AM

You have done the Ridgidbody section all wrong..

Make sure it fits within all the same indentations as other single objects

Is the node name the same in every occurrence too?

Title: Re: GMF Queries
Post by: G.K. on July 31, 2011, 05:55:48 AM

I failed to notice the *COUNT number before, which I've now upped, could that be the cause of the problems?

Node names are all the same.

Title: Re: GMF Queries
Post by: G.K. on July 31, 2011, 06:03:48 AM

DP: That fixed the issue, the arena works, but both textures have somehow combined onto the new object and the floor is still textureless.

New error messages:

(https://gametechmods.com/uploads/images/86689gmfissues2.jpg)

Title: Re: GMF Queries
Post by: JoeBlo on July 31, 2011, 06:09:12 AM

did you give it a unique texture number like I mention the my first post ?

Title: Re: GMF Queries
Post by: G.K. on July 31, 2011, 06:24:52 AM

Yes, but I found that problem, I think - I had both textures under the second object's material.

Now I've got it working, should I repeat for further objects?

Title: Re: GMF Queries
Post by: JoeBlo on July 31, 2011, 06:35:37 AM

if it works then yep

Indenting is the biggest pain with GMF's..

Title: Re: GMF Queries
Post by: G.K. on July 31, 2011, 09:56:43 AM

Next, I don't understand collision lines. Is there a guide for how they can correspond to TMROWS?

Also, what is the point of NPOV's?

And how would one lighten an object's texture via the GMF, if it is at all possible?

Title: Re: GMF Queries
Post by: Clickbeetle on August 01, 2011, 11:43:48 PM

Collision lines and TM_Rows are two completely different things.
 
Collision lines are invisible lines you set in the .py.  They're just numbers; they have no shape.  Here's the collision lines for Lu-Tze's RA2 tournament arena:
 
        self.AddCollisionLine((-9.22, -11.62 ), (-9.22, 11.62 ))
        self.AddCollisionLine((-9.22, 11.62 ), (9.22, 11.62 ))
        self.AddCollisionLine((9.22, 11.62 ), (9.22, -11.62 ))
        self.AddCollisionLine((9.22, -11.62 ), (-9.22, -11.62 ))
 
Pretty simple.  The first set of numbers is the start point and the second set is the end point.  The AI will avoid the invisible line between those two points.  Note that the collision line extends infinitely up and down so there is no height coordinate.  The numbers use the same coordinate grid as the objects in the arena.  So if your floor object is at point 0, 0, 0, you can just set the collision lines to the same coordinates as the floor vertexes.
 
Put the collision lines in def Activate in the .py.
 
POV's are a set of paths the AI uses to navigate around obstacles.  You only need them if you have an arena like the BBEANS arena with a blade in the middle.  Without POV's, the AI won't know how to get around the blade.
 
And there's no way I can think of to lighten textures in the gmf.  Well no practical way anyway... I suppose you could add a white reflection map.  But that would require another texture which would defeat the purpose.

Title: Re: GMF Queries
Post by: G.K. on August 02, 2011, 03:04:50 AM

Thank you very much.

Title: Re: GMF Queries
Post by: G.K. on August 31, 2011, 11:46:43 AM

BUMP:

Do I need POV's and collision lines for a centre object?

Title: Re: GMF Queries
Post by: Trovaner on August 31, 2011, 02:48:48 PM

If you want the AI to navigate well within your arena, you'll want POV's and collision lines whenever there is an unmovable obstruction that could get between the bots.

POV's are good for mapping AI routes around obstacles or hazards.
Collision lines are good for keeping the AI away from things (pits, walls, hazards, etc.).

Title: Re: GMF Queries
Post by: G.K. on August 31, 2011, 02:52:38 PM

But POV's are unecessary for the walls?

Title: Re: GMF Queries
Post by: Trovaner on August 31, 2011, 05:27:30 PM

For the most part, the AI always moves towards its opponent so there would be no point in adding POV's for walls unless it was possible for the wall to come between the bots.

Title: Re: GMF Queries
Post by: G.K. on September 03, 2011, 03:35:57 PM

Thanks.

Also, regarding POV's, I'm probably being an idiot but I've confused myself again.

A while back, Trov explained  them to me and said this:

#self.AddPOV(POV_ID,X-Coordinate,Z-Coordinate,POV_ID)

I look at the BBEANS arena, and its POV's don't seem to correspond to that:

EG:

self.AddPOV(3, (-5, 5), (3, 2))

How is (-5,5) the X co-ordinate?

Or is (-5,5) the two co-ordinates, and (3,2) something indicating ID 3 joins with ID 2?

Title: Re: GMF Queries
Post by: G.K. on September 04, 2011, 02:10:43 PM

DP:

I acted under those assummptions and added the POV's, however they don't seem to have worked. Bots still crash into the hazard in the middle.

Here's the arena.py

Code: [Select]

from __future__ import generators
import plus
import Arenas
import random
import Hazards
import math

from random import randint
import time
import HazardsBlueRay
import string
import Gooey



class Twisted(Arenas.SuperArena):
    "We fight in tandem!"
    name = "In Tandem Arena"
    preview = "Tandem/tand_preview.bmp"
    game_types = ['DEATHMATCH', 'BATTLE ROYAL', 'TEAM MATCH']
    extent = (-15, 15, 15, -15)


    def __init__(self):
        Arenas.SuperArena.__init__(self, "Arenas/Tandem/Tandem.gmf")
        #plus.Arena.__init__(self, "")
        plus.setBackColor(.36, .537, .788)
       
        degrad = 0.01745
        self.AddStaticCamera("Main View", (0, 30, -20), (68*degrad,0), 55*degrad)
        self.AddStaticCamera("Battle View", (19.5, 25, 19.5), (56*degrad,225*degrad), 40*degrad)
        self.AddStaticCamera("High Flipper View", (-19.5, 45, -19.5), (48*degrad,45*degrad), 84*degrad)
        self.AddStaticCamera("Birds Eye View", (0, 45, 0), (90*degrad,0), 50*degrad)

        self.AddWatchCamera("Combat Cam", (-12, 8, 12), (16, 36, 65*degrad, 30*degrad))
        self.AddWatchCamera("Aerial Cam", (-19.5, 35, -19.5), (50, 60, 45*degrad, 60*degrad))
        self.AddWatchCamera("Ground Cam", (8, -5, -8), (15, 40, 75*degrad, 35*degrad))
        self.AddWatchCamera("Spectator Cam", (13, 15, 13), (6, 18, 45*degrad, 45*degrad))
   
        self.players = ()

        ##################  Bot Flames + Smoke  ##################-------------
        self.RI_1 = 0
        self.RI_2 = 0
        self.RI_3 = 0
        self.RI_4 = 0
        self.RI_5 = 0
        self.RI_6 = 0
        self.RI_7 = 0
        self.RI_8 = 0
        self.RI_9 = 0
        self.RI_D = 0
        self.RI_Y = 0
        self.RI_SandF_0 = random.randint(-4, 4)   ### Random Smoke and Flames
        self.RI_SandF_1 = random.randint(-4, 4)   ### Random Smoke and Flames
        self.RI_SandF_2 = random.randint(-4, 4)   ### Random Smoke and Flames
        self.RI_SandF_3 = random.randint(-4, 4)   ### Random Smoke and Flames

        ##################  Bot Flames + Smoke  ##################-------------





    def AddShadowReceivers(self):
        self.SetShadowSource(5.897, 19.159, 5.899)





       
    def Activate(self, on):
        if on: self.players = plus.getPlayers()

        Arenas.SuperArena.Activate(self, on)





    def HazardsOn(self, on):
        if on:
            ##################  Bot Flames + Smoke  ##################-------------
            self.BOT_Flame_0 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            self.AddHazard(self.BOT_Flame_0)                                                                   
            self.BOT_Flame_1 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            self.AddHazard(self.BOT_Flame_1)                                                                   
            self.BOT_Flame_2 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            self.AddHazard(self.BOT_Flame_2)                                                                   
            self.BOT_Flame_3 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            self.AddHazard(self.BOT_Flame_3)
            self.BOT_Flame_4 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            self.AddHazard(self.BOT_Flame_4)                                                                   
            #self.BOT_Flame_5 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            #self.AddHazard(self.BOT_Flame_5)
            #self.BOT_Flame_6 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            #self.AddHazard(self.BOT_Flame_6)
            #self.BOT_Flame_7 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            #self.AddHazard(self.BOT_Flame_7)
            #self.BOT_Flame_8 = HazardsBlueRay.BotFlame((0, 0, 0), (0, 1, 0), (.2, .4, .2), .8)
            #self.AddHazard(self.BOT_Flame_8)           

            ##################  Bot Flames + Smoke  ##################-------------

            #wall
            self.AddCollisionLine((17, 17), (17, -17))
            self.AddCollisionLine((17, -17), (-17, -17))
            self.AddCollisionLine((-17, -17), (-17, 17))
            self.AddCollisionLine((-17, 17), (17, 17))

            self.AddPOV(0, (1, 1), (0, 1))
            self.AddPOV(1, (1, -1), (1, 2))
            self.AddPOV(2, (-1, -1), (2, 3))
            self.AddPOV(3, (-1, 1), (3, 0))

            self.AddPOV(0, (1, 1), (0, 3))
            self.AddPOV(1, (1, -1), (1, 0))
            self.AddPOV(2, (-1, -1), (2, 1))
            self.AddPOV(3, (-1, 1), (3, 2))           

            self.AddCollisionLine((1, 1), (1, -1))
            self.AddCollisionLine((1, -1), (-1, -1))
            self.AddCollisionLine((-1, -1), (-1, 1))
            self.AddCollisionLine((-1, 1), (1, 1))           

        return Arenas.SuperArena.HazardsOn(self, on)







       
    def Tick(self):
        for each in self.players:
            if plus.getLocation(each)[1] < -10: # Adjust this parameter to floor height(s).
                plus.eliminatePlayer(each)

        ##################  Bot Flames + Smoke  ##################-------------
        self.RI_0 = randint(-4, 4)
        self.RI_1 = randint(-4, 4)
        self.RI_2 = randint(-4, 4)
        self.RI_3 = randint(-2, 2)
        self.RI_4 = randint(-2, 2)
        self.RI_5 = randint(-2, 2)
        self.RI_6 = randint(-2, 2)
        self.RI_7 = randint(-2, 2)
        self.RI_8 = randint(-2, 2)
        self.RI_9 = randint(-2, 2)
        self.RI_D = randint(1, 4)
        self.RI_Y = randint(0, 2)

        self.BOT_Flame_0.Tick()  # Individual bot flames
        self.BOT_Flame_1.Tick()  # ""
        self.BOT_Flame_2.Tick()  # "" 
        self.BOT_Flame_3.Tick()  # "" 
        #self.BOT_Flame_4.Tick()  # Generic Lightning striking bot_flame.
        #self.BOT_Flame_5.Tick() 
        #self.BOT_Flame_6.Tick() 
        #self.BOT_Flame_7.Tick() 
        #self.BOT_Flame_8.Tick() 

        if 0 in self.players:
            if plus.getHealth(0,0) < 0.2:  #
                if self.RI_SandF_0  <= 2:
                    plus.emitSmoke(1, (plus.getLocation(0)), (self.RI_3, 1 ,self.RI_4), (.2,.4,.2))
            if plus.getHealth(0,0) < 0.1:  #
                if self.RI_SandF_0  < 0:
                    plus.emitSmoke(1,   (plus.getLocation(0)), (self.RI_4, self.RI_Y, self.RI_5), (.2,.4,.2))
                    self.BOT_Flame_0.BotFlameOff()   
                    self.BOT_Flame_0 = HazardsBlueRay.BotFlame(plus.getLocation(0), (self.RI_4, self.RI_Y, self.RI_5), (.2, .4, .2), .8)
                    self.BOT_Flame_0.BotFlameOn()

        if 1 in self.players:
            if plus.getHealth(1,0) < 0.2:  #
                if self.RI_SandF_1  <= 2:
                    plus.emitSmoke(1, (plus.getLocation(1)), (self.RI_4, 1 ,self.RI_5), (.2,.4,.2))
            if plus.getHealth(1,0) < 0.1:  #
                if self.RI_SandF_1  < 20:
                    plus.emitSmoke(1,   (plus.getLocation(1)), (self.RI_5, self.RI_Y, self.RI_6), (.2,.4,.2))
                    self.BOT_Flame_1.BotFlameOff()   
                    self.BOT_Flame_1 = HazardsBlueRay.BotFlame(plus.getLocation(1), (self.RI_5, self.RI_Y, self.RI_6), (.2, .4, .2), .8)
                    self.BOT_Flame_1.BotFlameOn()

        if 2 in self.players:
            if plus.getHealth(2,0) < 0.2:  #
                if self.RI_SandF_2  <= 2:
                    plus.emitSmoke(1, (plus.getLocation(2)), (self.RI_5, 1 ,self.RI_6), (.2,.4,.2))
            if plus.getHealth(2,0) < 0.1:  #
                if self.RI_SandF_2  < 0:
                    plus.emitSmoke(1,   (plus.getLocation(2)), (self.RI_6, self.RI_Y ,self.RI_7), (.2,.4,.2))
                    self.BOT_Flame_2.BotFlameOff()   
                    self.BOT_Flame_2 = HazardsBlueRay.BotFlame(plus.getLocation(2), (self.RI_6, self.RI_Y, self.RI_7), (.2, .4, .2), .8)
                    self.BOT_Flame_2.BotFlameOn()

        if 3 in self.players:
            if plus.getHealth(3,0) < 0.2:  #
                if self.RI_SandF_3  <= 2:
                    plus.emitSmoke(1, (plus.getLocation(3)), (self.RI_6, 1 ,self.RI_7), (.2,.4,.2))
            if plus.getHealth(3,0) < 0.1:  #
                if self.RI_SandF_3  < 0:
                    plus.emitSmoke(1,   (plus.getLocation(3)), (self.RI_8, self.RI_Y, self.RI_9), (.2,.4,.2))
                    self.BOT_Flame_3.BotFlameOff()   
                    self.BOT_Flame_3 = HazardsBlueRay.BotFlame(plus.getLocation(3), (self.RI_8, self.RI_Y, self.RI_9), (.2, .4, .2), .8)
                    self.BOT_Flame_3.BotFlameOn()

        ##################  Bot Flames + Smoke  ##################-------------






        return Arenas.SuperArena.Tick(self)



 
Arenas.register(Twisted)



Any suggestions as to where I slipped up?

Title: Re: GMF Queries
Post by: Clickbeetle on September 05, 2011, 01:03:56 AM

I don't know how big your center obstacle is, but I'm guessing it's bigger than 2x2 meters.  That's where you went wrong.  The POV's don't define the edges of the hazard (collision lines do that), they define the path the AI should take around the hazard--therefore, the POV square should be bigger than the collision line square, or else the AI will hit the hazard before they try to drive around it.  Depending on the size of your hazard a cushion of 1-3 meters should be sufficient.

Title: Re: GMF Queries
Post by: G.K. on September 05, 2011, 03:10:56 AM

Thanks.

Title: Re: GMF Queries
Post by: G.K. on September 07, 2011, 04:25:15 PM

DP:

Does

Code: [Select]

*USE_DISPLAY_PROXY 1 make the relevant object invisible in the game?

Title: Re: GMF Queries
Post by: Serge on September 07, 2011, 04:39:47 PM

Quote from: G.K. on September 07, 2011, 04:25:15 PM

DP:

Does

Code: [Select]

*USE_DISPLAY_PROXY 1 make the relevant object invisible in the game?

It allows you to choose a display mesh for the object. Usually, in RA2, the display mesh has a collision proxy, but you can also have a collision mesh have a display proxy - the end effect is the same.

So yes, if you set an empty mesh as a proxy for an object, it will become invisible, but still collide with the world.

Title: Re: GMF Queries
Post by: G.K. on September 07, 2011, 04:42:06 PM

Thanks, I think I understood that.

Edit: Though I'll give this method a try I presume I could circumvent it by making the material transparent?

Title: Re: GMF Queries
Post by: Trovaner on September 07, 2011, 06:27:44 PM

Quote from: G.K. on September 03, 2011, 03:35:57 PM

Thanks.

Also, regarding POV's, I'm probably being an idiot but I've confused myself again.

A while back, Trov explained  them to me and said this:

#self.AddPOV(POV_ID,X-Coordinate,Z-Coordinate,POV_ID)

I look at the BBEANS arena, and its POV's don't seem to correspond to that:

EG:

self.AddPOV(3, (-5, 5), (3, 2))

How is (-5,5) the X co-ordinate?

Or is (-5,5) the two co-ordinates, and (3,2) something indicating ID 3 joins with ID 2?

Whoops typo on my part.... I meant "self.AddPOV(POV_ID, XZ-StartingCoordinate, XZ-EndingCoordinate)" where the coordinates may be either tuples or lists and the ID is an integer.

As for the transparency, Sage is right so this is my take on saying roughly the same thing:
-As long as the display proxy is null, telling the game to use it will make the object invisible (not visible but with collisions). The opposite effect is possible when using your display mesh without the collision mesh (visible but without collisions). When you aren't using null or a vertex-less mesh, it is possible to associate display with collision from either object.
-Alternatively, you may use a transparent skin.

Title: Re: GMF Queries
Post by: G.K. on September 11, 2011, 10:50:25 AM

How do I make objects in the GMF damaging, and is it possible to give them frequency?

Title: Re: GMF Queries
Post by: Clickbeetle on September 11, 2011, 06:31:47 PM

Damage is set in the .py like this:
 
self.SetSubMaterialSound("spikes1", "metal", 2, "Sounds\\hzd_spike_hit.wav")
 
This is the code for the spikes in the Containment Cube.  spikes1 is the name of the object, metal should always be metal, 2 is the damage level (similar to material = metal damage in components), and the last parameter is obviously a sound file for when bots hit it.
 
Frequency cannot be done in arenas to my knowledge.
 
Also, something to note is that if you put more than one of the same object in the RBCollection, and then apply damage to it, only the first one will actually do damage.  Each damaging object needs its own mesh object.

Title: Re: GMF Queries
Post by: G.K. on October 22, 2011, 05:58:59 PM

Anybody know what I need to do to fix this problem when compiling?

(https://gametechmods.com/forums/data:image/png;base64,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)(https://gametechmods.com/uploads/images/91470gmfhelp.png)

The arena doesn't show up in the ingame list once compiled.

Title: Re: GMF Queries
Post by: JoeBlo on October 23, 2011, 01:30:21 AM

I dont really do this stuff much these days so I kinda have forogtton a lot but I do think you may have brackets and indentations out for that first one..

never seen the "J" error message

Title: Re: GMF Queries
Post by: Trovaner on October 24, 2011, 03:26:48 PM

I would have to see the GMF to identify this. Like Joe, I haven't done much in the GMF category in quite some time. If I had to guess, one of your counts are too high.

Title: Re: GMF Queries
Post by: G.K. on October 24, 2011, 03:32:27 PM

I'll upload it.

https://gametechmods.com/uploads/files/Tandemdec.zip (https://gametechmods.com/uploads/files/Tandemdec.zip)

Title: Re: GMF Queries
Post by: G.K. on October 27, 2011, 08:40:40 AM

DP: I've been through each step of adding the new material, geomobject and rigidbody individually to the gmf. I made sure all the counts were up-to-date. I got the same error again. Any ideas?

Title: Re: GMF Queries
Post by: Madiaba on October 27, 2011, 05:32:39 PM

Hey, guys.
GK, may I have the rest of the arena too, so I can look at your work?

Title: Re: GMF Queries
Post by: G.K. on October 28, 2011, 04:16:19 AM

Sure. I'll PM you.

Title: Re: GMF Queries
Post by: Clickbeetle on October 29, 2011, 11:34:20 PM

Your light is kind of wonky.  *USE FAR ATTENUATION 1987643832  should be *USE FAR ATTENUATION = 0
 
There are four attachment points after the four start points that should not be there.  Attachment points don't do anything in arenas.  It probably doesn't help any that some of those attach points have the same name as the start points either.  Could be messing things up.

Title: Re: GMF Queries
Post by: G.K. on October 30, 2011, 11:25:23 AM

Those AP's have always been in there and not been a problem. I'll try removing them but I'm not expecting anything though.

Title: Re: GMF Queries
Post by: Clickbeetle on October 30, 2011, 09:27:01 PM

Oh yeah.  *MATERIAL_FALLOFF Other should be *MATERIAL_FALLOFF In.  Shouldn't cause compilation errors so it may not be your main problem, but I've had arenas crash before because of that.

Title: Re: GMF Queries
Post by: G.K. on October 31, 2011, 02:06:10 PM

I'll try it, thanks.

Title: Re: GMF Queries
Post by: Serge on November 01, 2011, 07:48:40 AM

[noae]

Quote from: G.K. on October 22, 2011, 05:58:59 PM

Anybody know what I need to do to fix this problem when compiling?

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)(https://gametechmods.com/uploads/images/91470gmfhelp.png)

The arena doesn't show up in the ingame list once compiled.

[/noae]

Yes, I know the messages printed by my compiler are cryptic - the parser could really use some work ;).

Basically, the first error means that in a place that the parses expected an object type, you have some wonky closing bracket instead. The second error shows you the line and text where the error happened.

Title: Re: GMF Queries
Post by: G.K. on November 01, 2011, 01:02:17 PM

Could you interpret what line it is please? There's notihng on line 774

Title: Re: GMF Queries
Post by: Serge on November 01, 2011, 06:03:27 PM

Quote from: G.K. on November 01, 2011, 01:02:17 PM

Could you interpret what line it is please? There's notihng on line 774

It's not actually the line IIRC... You have to resize the messagebox to get the full text of the titlebar. If that doesn't work, click somewhere on the messagebox, presst CTRL-C, and then CTRL-V in notepad - this will show you the exact message that was supposed to be present in the title bar.

Title: Re: GMF Queries
Post by: G.K. on November 02, 2011, 11:53:39 AM

Comes up with this:

---------------------------
Input File Dump (offset 77493)
---------------------------
J
---------------------------
OK   
---------------------------

Unfortunately that doesn't clear it up for me.

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