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Arena GQL Simulator - Win % calculator #2084

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@FioX0 FioX0 commented Jun 16, 2023

Please note that this might be a bit of a resource intensive query. It performs quite well on my Dev PC, but on my VPS I do see a bit of a slowdown but the VPS isn't really strong to begin with.

I have optimized this as much as I could. Might not be suitable for production, but letting planetarium to make that decision.

This allows you to provide 2 AvatarAddresses and it will simulate 1000 fights and return a decimal which would be the % of avatar1 winning against Avatar2.

query{ stateQuery{ arenaPercentageCalculator(avatarAddress:"0x3b7a47daaece48807fc00a310b05bd9f5d26736e", enemyAvatarAddress:"0xab44635462880666daa7f2be5a21c71c1590ff2b") } }

{ "data": { "stateQuery": { "arenaPercentageCalculator": 3 } }, "extensions": {} }

@@ -346,7 +349,136 @@ public StateQuery()
return null;
}
);
Field<NonNullGraphType<DecimalGraphType>>(
name: "arenaPercentageCalculator",
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I guess stateQuery might not be the best place for this sort of query because it seems very domain specific(i.e., PVP system) logic instead of simple state lookups. (but on the other hand, it isn't strong due to a lack of alternatives 😅 ) cc @planetarium/nine-chronicles

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May I suggest a new category called "simulatorQuery"? I also got a Stage/PVE one that is almost done. So both queries could be set under this new category.

int win = 0;
int loss = 0;

for (var i = 0; i < 1000; i++)
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it would be nice if we have an option for this iteration count as configurable.

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Will add this right away, I'm thinking of making a hard cap of 5000? It gets quite resource intensive.

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introducing a hard cap would be nice! I don't have an appropriate number for that, but both 1k and 5k are looks good to me.

loss++;
}
}
return Math.Round(((decimal)win / 1000) * 100m, 2);
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Returning aggregated summary makes sense but I also think that more detailed information might be more helpful.

e.g.,

{
    "blockIndex": 1,
    "result": [
        {
            "seed": 1234,
            "win": true
        },
        {
            "seed": 5678,
            "win": false
        },
    ]
}

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Thanks Swen.

So BlockIndex,
Percentage and then a
Results List per seed/win state?

Then user can decide if they want the result list?

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  • blockIndex may be needed to determine what sheet states we have referred.
  • seed can be used for local validation as you said. 😄

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@FioX0 FioX0 Jul 3, 2023

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@longfin
Like so?

{
  "data": {
    "simulationQuery": {
      "arenaPercentageCalculator": {
        "blockIndex": 7133512,
        "result": [
          {
            "seed": 1893608300,
            "win": true
          },
          {
            "seed": 2073532131,
            "win": true
          },
          {
            "seed": 1826085108,
            "win": false
          },
          {
            "seed": 1985649038,
            "win": false
          },
          {
            "seed": 614892139,
            "win": true
          },
          {
            "seed": 2060699251,
            "win": false
          },
          {
            "seed": 784343549,
            "win": true
          },
          {
            "seed": 2109394172,
            "win": true
          },
          {
            "seed": 1339463095,
            "win": true
          },
          {
            "seed": 1834517228,
            "win": false
          }
        ],
        "winPercentage": 60
      }
    }
  },
  "extensions": {}
}

GQL Query as per below:

query{
  simulationQuery{
    arenaPercentageCalculator(avatarAddress:"0x63b6fef274118719790f63865e63a2cd26ff14dc", enemyAvatarAddress:"0x63b6fef274118719790f63865e63a2cd26ff14dc", simulationCount:10){
      blockIndex,result{seed,win},winPercentage
    }
  }
}

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@FioX0 right 😄

@pull-request-quantifier-deprecated

This PR has 223 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Large
Size       : +222 -1
Percentile : 62.3%

Total files changed: 9

Change summary by file extension:
.cs : +222 -1

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

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