A python interface for training Reinforcement Learning bots to battle on pokemon showdown

Last update: Dec 30, 2022

Overview

The pokemon showdown Python environment

A Python interface to create battling pokemon agents. poke-env offers an easy-to-use interface for creating rule-based or training Reinforcement Learning bots to battle on pokemon showdown.

Getting started

Agents are instance of python classes inheriting from Player. Here is what your first agent could look like:

class YourFirstAgent(Player):
    def choose_move(self, battle):
        for move in battle.available_moves:
            if move.base_power > 90:
                # A powerful move! Let's use it
                return self.create_order(move)

        # No available move? Let's switch then!
        for switch in battle.available_switches:
            if switch.current_hp_fraction > battle.active_pokemon.current_hp_fraction:
                # This other pokemon has more HP left... Let's switch it in?
                return self.create_order(switch)

        # Not sure what to do?
        return self.choose_random_move(battle)

To get started, take a look at our documentation!

Documentation and examples

Documentation, detailed examples and starting code can be found on readthedocs.

Installation

This project requires python >= 3.6 and a Pokemon Showdown server.

pip install poke-env

You can use smogon's server to try out your agents against humans, but having a development server is strongly recommended. In particular, it is recommended to use the --no-security flag to run a local server with most rate limiting and throttling turned off. Please refer to the docs for detailed setup instructions.

git clone https://github.com/smogon/pokemon-showdown.git
cd pokemon-showdown
npm install
cp config/config-example.js config/config.js
node pokemon-showdown start --no-security

Development version

You can also clone the latest master version with:

git clone https://github.com/hsahovic/poke-env.git

Dependencies and development dependencies can then be installed with:

pip install -r requirements.txt
pip install -r requirements-dev.txt

Acknowledgements

This project is a follow-up of a group project from an artifical intelligence class at Ecole Polytechnique.

You can find the original repository here. It is partially inspired by the showdown-battle-bot project. Of course, none of these would have been possible without Pokemon Showdown.

Team data comes from Smogon forums' RMT section.

Data

Data files are adapted version of the js data files of Pokemon Showdown.

License

Other

Comments

Gen 8 support
As discussed in #20

Copying over a checklist by @hsahovic that he mentioned here in order to keep track of what's left

Things to update:

[x] src/data/pokedex.json

[x] src/data/moves.json

[x] src/environment/Battle.battle_parse_message

[x] src/environment/Battle.battle_parse_request

[x] src/player/Player.choose_random_move

Things to add:

[x] src/environment/Battle.can_dynamax

[x] src/environment/Pokemon._dynamax

Things to add if necessary:

[ ] src/environment/Battle.can_gigantamax

[ ] src/environment/Pokemon._gigantamax

[x] src/environment/Pokemon.is_dynamaxed

[ ] src/environment/Pokemon.is_gigantamaxed

documentation enhancement
opened by szymonWojdat 24
Calling the gym-env by name
Hi Haris! First of all thank you for putting in the effort of making poke-env.

I run your rl_with_open_ai_gym_wrapper.py and tried a bunch of other RL algorithms in keras-rl2 on the play_against method and they worked just fine.

Then naturally I would like to get poke-env working on other newer and better maintained RL libraries than keras-rl2.
I tried to get RLlib working with poke-env, specifically with the plain_against method but couldn't get it to work.

RLlib's training flow goes like this (code copied from RLlib's doc )

ray.init() config = ppo.DEFAULT_CONFIG.copy() config["num_gpus"] = 0 config["num_workers"] = 1 config["eager"] = False trainer = ppo.PPOTrainer(config=config, env="CartPole-v0") # Can optionally call trainer.restore(path) to load a checkpoint. for i in range(1000): # Perform one iteration of training the policy with PPO result = trainer.train() print(pretty_print(result)) if i % 100 == 0: checkpoint = trainer.save() print("checkpoint saved at", checkpoint)

where the whole gym-env class is passed to the trainer object.
3 days of try and error concludes that there is no workaround between this syntax and the play_against method in poke-env.

I wonder if it's possible to wrap poke-env into a registered gym-env and make it callable by its name,
like env gym.make('poke_env-v0') ?
bug enhancement
opened by lolanchen 19
file missing repl

C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown>node pokemon-showdown start --no-security RESTORE CHATROOM: lobby RESTORE CHATROOM: staff

CRASH: Error: ENOENT: no such file or directory, scandir 'C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\logs\repl' at Object.readdirSync (fs.js:1043:3) at _class.start (C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\lib\repl.ts:12:16) at Object. (C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\server\index.ts:173:11) at Module._compile (internal/modules/cjs/loader.js:1072:14) at Module.m._compile (C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\node_modules\ts-node\src\index.ts:1310:23) at Module._extensions..js (internal/modules/cjs/loader.js:1101:10) at Object.require.extensions. [as .ts] (C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\node_modules\ts-node\src\index.ts:1313:12) at Module.load (internal/modules/cjs/loader.js:937:32) at Function.Module._load (internal/modules/cjs/loader.js:778:12) at Object. (C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\pokemon-showdown:134:22)

SUBCRASH: Error: ENOENT: no such file or directory, open 'C:\Users\CyberKira\Documents\pokemon showdown\pokemon-showdown\logs\errors.txt'

Worker 1 now listening on 0.0.0.0:8000 Test your server at http://localhost:8000
question

opened by godpow 16
Doubles support

Closes #49

Drafted this real quick for now, will keep working on this in the following days.

For now the plan was to create AbstractBattle, use DoubleBattle for doubles and Battle for singles, move all common logic from Battle to AbstractBattle and implement the missing functionalities of DoubleBattle.
enhancement

opened by szymonWojdat 16

Error encountered during player.ladder()

Hi, I was testing a model I trained on Pokemon Showdown (code snippet below) when I ran into this issue. I'm able to challenge the bot to a battle and play against it perfectly well but when I do player.ladder(100) it errors out after completing a single battle.

2022-07-25 18:33:47,574 - UABGLSimpleDQN - ERROR - Unhandled exception raised while handling message:
>battle-gen8randombattle-1625188644
|-message|Nukkumatti lost due to inactivity.
|
|win|UABGLSimpleDQN
Traceback (most recent call last):
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\player_network_interface.py", line 131, in _handle_message
    await self._handle_battle_message(split_messages)
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\player.py", line 235, in _handle_battle_message
    self._battle_finished_callback(battle)
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\env_player.py", line 106, in _battle_finished_callback
    self._observations[battle].put(self.embed_battle(battle))
KeyError: <poke_env.environment.battle.Gen8Battle object at 0x000001E1988D2EA0>
Task exception was never retrieved
future: <Task finished name='Task-39' coro=<PlayerNetwork._handle_message() done, defined at E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\player_network_interface.py:117> exception=KeyError(<poke_env.environment.battle.Gen8Battle object at 0x000001E1988D2EA0>)>
Traceback (most recent call last):
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\player_network_interface.py", line 177, in _handle_message
    raise exception
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\player_network_interface.py", line 131, in _handle_message
    await self._handle_battle_message(split_messages)
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\player.py", line 235, in _handle_battle_message
    self._battle_finished_callback(battle)
  File "E:\Dev\meta-discovery\torch_env\lib\site-packages\poke_env\player\env_player.py", line 106, in _battle_finished_callback
    self._observations[battle].put(self.embed_battle(battle))
KeyError: <poke_env.environment.battle.Gen8Battle object at 0x000001E1988D2EA0>

Model code:

class SimpleRLPlayerTesting(SimpleRLPlayer):
    def __init__(self, model, *args, **kwargs):
        SimpleRLPlayer.__init__(self, *args, **kwargs)
        self.model = model

    def choose_move(self, battle):
        state = self.embed_battle(battle)
        with torch.no_grad():
            predictions = self.model(state)
        action_mask = self.action_masks()
        action = np.argmax(predictions + action_mask)
        return self._action_to_move(action, battle)

Script:

async def main():
    ...
    player = simple_agent.SimpleRLPlayerTesting(
        model=model,
        player_configuration=PlayerConfiguration(USERNAME, PASSWORD),
        server_configuration=ShowdownServerConfiguration,
        start_timer_on_battle_start=True,
        **player_kwargs
    )
    print("Connecting to Pokemon Showdown...")
    await player.ladder(NUM_GAMES)
    # Print the rating of the player and its opponent after each battle
    for battle in player.battles.values():
        print(battle.rating, battle.opponent_rating)

if __name__ == "__main__":
    asyncio.get_event_loop().run_until_complete(main())

opened by akashsara 15

Training the agent against 2 or more opponents + Max moves are stored and shouldn't

Hey Haris, I would like to train the agent against more than one opponent, but can't figure out how. Also, how could I make it train against itself and previous saved versions of it?
bug question

opened by mancho1987 13

(None, 22) Tensor is is not an element of this graph, when trying to get examples/rl_with_open_ai_gym_wrapper.py to work

Hi, I was trying to run examples/rl_with_open_ai_gym_wrapper.py on an Ubuntu 20.04 system natively just from terminal, and I keep on running into this error

ValueError: Tensor Tensor("dense_2/BiasAdd:0", shape=(None, 22), dtype=float32) is not an element of this graph.

from here

Training for 10000 steps ...
Interval 1 (0 steps performed)
/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/keras/engine/training.py:2470: UserWarning: `Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically.
  warnings.warn('`Model.state_updates` will be removed in a future version. '
Exception in thread Thread-1:
Traceback (most recent call last):
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/threading.py", line 973, in _bootstrap_inner
    self.run()
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/threading.py", line 910, in run
    self._target(*self._args, **self._kwargs)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/poke_env/player/env_player.py", line 363, in <lambda>
    target=lambda: env_algorithm_wrapper(self, env_algorithm_kwargs)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/poke_env/player/env_player.py", line 347, in env_algorithm_wrapper
    env_algorithm(player, **kwargs)
  File "/home/karna/Documents/poke-net/net/test2.py", line 79, in dqn_training
    dqn.fit(player, nb_steps=nb_steps)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/rl/core.py", line 168, in fit
    action = self.forward(observation)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/rl/agents/dqn.py", line 224, in forward
    q_values = self.compute_q_values(state)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/rl/agents/dqn.py", line 68, in compute_q_values
    q_values = self.compute_batch_q_values([state]).flatten()
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/rl/agents/dqn.py", line 63, in compute_batch_q_values
    q_values = self.model.predict_on_batch(batch)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/keras/engine/training_v1.py", line 1200, in predict_on_batch
    self._make_predict_function()
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/keras/engine/training_v1.py", line 2070, in _make_predict_function
    self.predict_function = backend.function(
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/keras/backend.py", line 4092, in function
    return GraphExecutionFunction(
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/keras/backend.py", line 3885, in __init__
    with tf.control_dependencies([self.outputs[0]]):
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 5394, in control_dependencies
    return get_default_graph().control_dependencies(control_inputs)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 4848, in control_dependencies
    c = self.as_graph_element(c)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 3759, in as_graph_element
    return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
  File "/home/karna/.pyenv/versions/3.9.7/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 3838, in _as_graph_element_locked
    raise ValueError("Tensor %s is not an element of this graph." % obj)
ValueError: Tensor Tensor("dense_2/BiasAdd:0", shape=(None, 22), dtype=float32) is not an element of this graph.

I thought this was a compatability error, so I tried to install older tensorflow versions as I saw this was using tensorflow==2.0.0b1 and they mentioned it working.

However, I never actually managed to get tensorflow==2.0.0b1. I did get 2.0.0 though in Python 3.7.12, but I get the same issue.

  File "/home/karna/.pyenv/versions/3.7.12/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3689, in _as_graph_element_locked
    raise ValueError("Tensor %s is not an element of this graph." % obj)
ValueError: Tensor Tensor("dense_2/BiasAdd:0", shape=(None, 22), dtype=float32) is not an element of this graph.

My installed packages with python 3.9.7, let me know if what you want the 3.7.12 config, but I don't think the tensor flow version is necessarily the issue.

astunparse==1.6.3
cachetools==4.2.4
certifi==2021.10.8
charset-normalizer==2.0.7
clang==5.0
cloudpickle==2.0.0
flatbuffers==1.12
gast==0.4.0
google-auth==2.3.3
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.41.1
gym==0.21.0
h5py==3.1.0
idna==3.3
keras==2.6.0
Keras-Preprocessing==1.1.2
keras-rl2==1.0.5
Markdown==3.3.4
numpy==1.19.5
oauthlib==3.1.1
opt-einsum==3.3.0
orjson==3.6.4
poke-env==0.4.20
protobuf==3.19.1
pyasn1==0.4.8
pyasn1-modules==0.2.8
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.7.2
six==1.15.0
tabulate==0.8.9
tensorboard==2.7.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.6.1
tensorflow-estimator==2.6.0
termcolor==1.1.0
typing-extensions==3.7.4.3
urllib3==1.26.7
websockets==10.0
Werkzeug==2.0.2
wrapt==1.12.1

question

opened by EllangoK 11

Add ping interval and timeout to player

Sometimes showdown server could suffer from a lag spike, expecially on less powerful machines. This allows to increase or disable timeouts for the keepalive mechanism used by websockets.

@hsahovic let me know if you think this could be useful

opened by MatteoH2O1999 9
battle_tag is wrong for invite-only battles
My AI kept randomly not doing anything in some battles, so I did some investigating.

Turns out these errors were being put into the log:

INFO - >>> battle-gen8randombattle-1220084985|/timer on DEBUG - <<< |pm|!Geniusect-Q|~|/error /timer - must be used in a chat room, not a console

The root cause:

2020-11-09 11:54:58,144 - Geniusect-Q - DEBUG - Received message to handle: >battle-gen8randombattle-1220084985-pgoxls8251t2qkotmilabhfhov3uhlepw |init|battle |title|Geniusect-Q vs. yaasgagaga |raw|<div class="broadcast-red"><strong>This battle is invite-only!</strong><br />Users must be invited with <code>/invite</code> (or be staff) to join</div> |j|☆Geniusect-Q 2020-11-09 11:54:58,145 - Geniusect-Q - INFO - New battle started: battle-gen8randombattle-1220084985

As you can see, the battle's "real" ID is battle-gen8randombattle-1220084985-pgoxls8251t2qkotmilabhfhov3uhlepw, but because of the way that the battle_tag is being split, the battle_tag is battle-gen8randombattle-1220084985.

Would it be possible to throw an exception when /error is received in a PM (to identify when this happens) and also to fix how the battle_tag is generated for invite-only battles? I think this is a recent change, since I wasn't seeing it a couple days ago.
bug
opened by Jay2645 9
Sending or accepting challenges gives an error about coroutines

If you call player.send_challenges or player.accept_challenges, you get this error:

RuntimeWarning: coroutine 'final_tests' was never awaited final_tests()

If you wrap it under an async function and call it with await, you get this:

RuntimeError: Task <Task pending coro=<final_tests() running at pokerl.py:98> cb=[_run_until_complete_cb() at C:\Users\Username\Anaconda3\lib\asyncio\base_events.py:158]> got Future attached to a different loop
bug

opened by Gummygamer 9

Dockerized runs of poke-env fail to access port 8000 during imports

Hello! This is my first time submitting an issue on Github so I'm a bit scared 😓

I'm basically trying to dockerize the training process of a DQN bot to keep my local environment clean. I've made a dockerized version of the pokemon showdown server that runs with the '--no-security' flag (docker.io/nacharya114/pokemonshowdown), and I've created a jupyter notebook docker stack that mounts to my working directory that runs pokebot. I'm getting errors at import that read:

2021-05-05 17:14:24,768 - RandomPlayer 1 - ERROR - Multiple exceptions: [Errno 111] Connect call failed ('127.0.0.1', 8000), [Errno 99] Cannot assign requested address
Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 1010, in create_connection
    sock = await self._connect_sock(
  File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 924, in _connect_sock
    await self.sock_connect(sock, address)
  File "/opt/conda/lib/python3.8/asyncio/selector_events.py", line 496, in sock_connect
    return await fut
  File "/opt/conda/lib/python3.8/asyncio/futures.py", line 260, in __await__
    yield self  # This tells Task to wait for completion.
  File "/opt/conda/lib/python3.8/asyncio/tasks.py", line 349, in __wakeup
    future.result()
  File "/opt/conda/lib/python3.8/asyncio/futures.py", line 178, in result
    raise self._exception
  File "/opt/conda/lib/python3.8/asyncio/selector_events.py", line 528, in _sock_connect_cb
    raise OSError(err, f'Connect call failed {address}')
ConnectionRefusedError: [Errno 111] Connect call failed ('127.0.0.1', 8000)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/poke_env/player/player_network_interface.py", line 242, in listen
    async with websockets.connect(
  File "/opt/conda/lib/python3.8/site-packages/websockets/legacy/client.py", line 604, in __aenter__
    return await self
  File "/opt/conda/lib/python3.8/site-packages/websockets/legacy/client.py", line 622, in __await_impl__
    transport, protocol = await self._create_connection()
  File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 1033, in create_connection
    raise OSError('Multiple exceptions: {}'.format(
OSError: Multiple exceptions: [Errno 111] Connect call failed ('127.0.0.1', 8000), [Errno 99] Cannot assign requested address

All the cell is doing is:

# Imports
import dotmap
import json
import asyncio
import os
import importlib

from poke_env.server_configuration import ServerConfiguration
from poke_env.player.random_player import RandomPlayer
from poke_env.player_configuration import PlayerConfiguration
from poke_env.player.baselines import MaxBasePowerPlayer, SimpleHeuristicsPlayer

from pokebot import BotPlayer



PIPELINE_PATH = os.path.join(os.curdir, "hparams.json")
SAVE_PATH = os.path.join(os.curdir, "fakemodel.h5")

my_server_config = ServerConfiguration(
    "ps:8000",
    "https://play.pokemonshowdown.com/action.php?"
)

I've run these two docker containers via compose and have used ping to verify that they can talk to eachother via tcp. I'm a little bit stuck on why the process of importing is causing a block due to localhost 8000 being unavailable. Thanks to anyone whom this concerns!

question

opened by nacharya114 8

Bump peter-evans/create-pull-request from 3 to 4
Bumps peter-evans/create-pull-request from 3 to 4.

Release notes

Sourced from peter-evans/create-pull-request's releases.

Create Pull Request v4.0.0

Breaking changes

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If using self-hosted runners or GitHub Enterprise Server, there are minimum requirements for v4 to run. See "What's new" below for details.

What's new

Updated runtime to Node.js 16

The action now requires a minimum version of v2.285.0 for the Actions Runner.

If using GitHub Enterprise Server, the action requires GHES 3.4 or later.

What's Changed

README.md: Add word "permissions" to part on GITHUB_TOKEN by @hartwork in peter-evans/create-pull-request#1082

docs: Document how to improve close-and-reopen user experience by @hartwork in peter-evans/create-pull-request#1084

README.md: Skip follow-up steps if there is no pull request by @hartwork in peter-evans/create-pull-request#1083

v4 by @peter-evans in peter-evans/create-pull-request#1099

New Contributors

@hartwork made their first contribution in peter-evans/create-pull-request#1082

Full Changelog: https://github.com/peter-evans/create-pull-request/compare/v3.14.0...v4.0.0

Create Pull Request v3.14.0

This release reverts a commit made to bump the runtime to node 16. It inadvertently caused an issue for users on GitHub Enterprise. Apologies. 🙇‍♂️

What's Changed

feat: revert update action runtime to node 16 by @peter-evans https://github.com/peter-evans/create-pull-request/commit/18f7dc018cc2cd597073088f7c7591b9d1c02672

Full Changelog: https://github.com/peter-evans/create-pull-request/compare/v3.13.0...v3.14.0

Create Pull Request v3.13.0

What's Changed

Document that draft status changes are not reflected by @willthames in peter-evans/create-pull-request#1064

fix: remove unused draft param from pull update by @peter-evans in peter-evans/create-pull-request#1065

Update action runtime to node 16 by @sibiraj-s in peter-evans/create-pull-request#1074

New Contributors

@willthames made their first contribution in peter-evans/create-pull-request#1064

@sibiraj-s made their first contribution in peter-evans/create-pull-request#1074

Full Changelog: https://github.com/peter-evans/create-pull-request/compare/v3.12.1...v3.13.0

Create Pull Request v3.12.1

What's Changed

ci: remove workflow by @peter-evans in peter-evans/create-pull-request#1046

fix: add '--' to checkout command to avoid ambiguity by @kenji-miyake in peter-evans/create-pull-request#1051

New Contributors

@kenji-miyake made their first contribution in peter-evans/create-pull-request#1051

... (truncated)

Commits

2b011fa fix: add check for missing token input (#1324)

331d02c fix: support github server url for pushing to fork (#1318)

d7db273 fix: handle update after force pushing base to a new commit (#1307)

ee93d78 test: set default branch to main (#1310)

6c704eb docs: clarify limitations of push-to-fork with restricted token

88bf0de docs: correct examples

b38e8b0 docs: replace set-output in example

b4d5173 feat: switch proxy implementation (#1269)

ad43dcc build(deps): bump @actions/io from 1.1.1 to 1.1.2 (#1280)

c2f9cef build(deps): bump @actions/exec from 1.1.0 to 1.1.1 (#1279)

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opened by dependabot[bot] 2
argument error in rl_with_new_open_ai_gym_wrapper.py

hello! in line 76 an error is raised because SimpleRLPlayer is missing the opponent argument, commenting out the testing the environment portion still allows the rest of the code to run smoothly

opened by fbkhalif 0
Error: read ECONNRESET when using Ubuntu 20.04 on WSL2

When following the Getting Started guide, I am getting CRASH: Error: read ECONNRESET when running node pokemon-showdown start --no-security using Ubuntu 20.04 on WSL2

`RESTORE CHATROOM: lobby RESTORE CHATROOM: staff

CRASH: Error: read ECONNRESET at Pipe.onStreamRead (node:internal/stream_base_commons:217:20) at Pipe.callbackTrampoline (node:internal/async_hooks:130:17)

CRASH: Error: read ECONNRESET at Pipe.onStreamRead (node:internal/stream_base_commons:217:20) at Pipe.callbackTrampoline (node:internal/async_hooks:130:17)

CRASH: Error: read ECONNRESET at Pipe.onStreamRead (node:internal/stream_base_commons:217:20) at Pipe.callbackTrampoline (node:internal/async_hooks:130:17)

Worker 1 now listening on 0.0.0.0:8000 Test your server at http://localhost:8000`

When attempting to run RandomPlayer in the documentation I also get the following which never resolves itself: RandomPlayer 1 - WARNING - Popup message received: |popup|The server is restarting. Battles will be available again in a few minutes.

opened by kasmith11 3
Wrappers for CLI functions?

A nice-to-have would be some basic wrappers for the CLI tools. For example, for testing VGC applications being able to call the CLI command "generate-team gen8vgc2022 12345" with a python function. I might be able to work on this after I learn a bit more but pretty rusty with python (not that I ever knew it that well).

opened by melondonkey 1
Include items.json in data?

Hi! I'm not sure if this has been discussed before (couldn't find anything on it) but is there a reason items aren't included there? Everything else seems to be there. I know that the items aren't necessarily used anywhere in poke-env itself, but I think it would still be helpful for users creating more complex states.

In my own case, I'm using the files in the data folder to get information on Pokemon, abilities, moves, types, stats etc. However I have to rely on some form of external source for the items. This means that I might have outdated information unless I directly use Showdown as a source. Since there seems to be some form of automated data updates for the information in the data folder, would it be possible to include items there as well?

opened by akashsara 0

Releases(0.5.0)

0.5.0(Aug 25, 2022)
Rework gym API to be synchronous

Add misc effects

Fix misc bugs

Update data

Drop python 3.6 support and add python 3.10

Revamp inits

Thanks to @MatteoH2O1999 and @akashsara for your amazing work :)
Source code(tar.gz)
Source code(zip)
0.4.21(Nov 11, 2021)
Add replay saving feature to Player objects - use Player(..., save_replays=True) to try it out!

Unify ability representation

Better handling of hiddenpower, especially in gens < 8

Add missing AbstractBattle abstract_property values

Add Battle.opponent_can_mega_evolve / Battle.opponent_can_z_move properties

Source code(tar.gz)
Source code(zip)
0.4.20(Oct 8, 2021)
Update data files

Improve move message parsing

Better capping of number of moves (to 4)

Clarify Battle.weather typing

Minor:

calling EnvPlayer.step when reset wasn't called raises an Exception, as per some open ai gym implementations

Source code(tar.gz)
Source code(zip)
0.4.19(Sep 20, 2021)
This release adds:

handling of -swapsideconditions messages

log.info /log pm messages instead of log.warning them

Fix hidden power Moves initialization - their type is now correctly inferred

Fix hanging env_player.reset when called before the current battle is finished

env_player.complete_current_battle now forfeits instead of performing random moves until the battle finishes

env_player.step(-1) forfeits the battle

Source code(tar.gz)
Source code(zip)
0.4.18(Sep 10, 2021)

Source code(tar.gz)
Source code(zip)
0.4.17(Aug 19, 2021)
Coroutines are no longer stored in PlayerNetworkInterface - this should eliminate a bug where keeping Player objects around for a great number of battles lead to a monotonic increase in RAM usage

Set Pokemon object ability property when there's only one possibility

Better ability parsing

Better items parsing

Source code(tar.gz)
Source code(zip)
0.4.16(Jul 21, 2021)
Better item and ability parsing

Create ForfeitBattleObject

Misc bug fixes

Gen 1/2/3 data storage

Update data

Source code(tar.gz)
Source code(zip)
0.4.15(May 26, 2021)

This release lets users set gen 1, 2 and 3 formats. poke-env will fallback to gen 4 objects and log a warning, as opposed to raising an obscure exception, as in previous versions.

Misc: removed ailogger dependency
Source code(tar.gz)
Source code(zip)
0.4.14(May 23, 2021)

This release makes poke-env compatible with the new pm-based pokemon-showdown challenge system.
Source code(tar.gz)
Source code(zip)
0.4.13(May 14, 2021)
Fix a bug causing toxic counter to increment incorrectly when a Pokemon was switched out

Fix a bug causing multiple terrains to be present in Battle.fields simultaneously

Source code(tar.gz)
Source code(zip)
0.4.12(Apr 25, 2021)

Previous version of poke-env used the same data files for every generation. This led to incorrect data being used for older formats. This release adds gen specific move and pokedex files, for gens 4 to 8. It also add a handler for message and -message battle messages.
Source code(tar.gz)
Source code(zip)
0.4.11(Apr 17, 2021)
Add dynamax moves

Add multiple effects

Better handling of illusion and zoroark / zoroa / ditto

Multiple misc bug fixes

Source code(tar.gz)
Source code(zip)
0.4.10(Apr 5, 2021)
Add _UNKNOWN enum values for several poke-env Enum classes

Add custom PS_ERROR log level (level 25)

Source code(tar.gz)
Source code(zip)
0.4.9(Apr 1, 2021)
This release introduces two minor bug fixes:

REFLECT was added to effects, as it is used as such in gen 1 by pokemon showdown

A typo in Pokemon._start_effect was preventing some effects from being tracked correctly

Source code(tar.gz)
Source code(zip)
0.4.8(Feb 27, 2021)
Add dynamax parsing / generation in teambuilder submodule

Switch pokemon-showdown recommended version from custom fork to smogon master with custom CLI flags

Add Effect counters

Add Weather counters

Add Field counters

Add first turn per pokemon tracking

Add status counters

Parse cant messages

Add sets of special Effects and Moves and matching properties in their respective classes

Misc bug fixes:

Fix a rare issue in vgc hp parsing where a g character can appear in hp update information

Add CELEBRATE and G_MAX_CHI_STRIKE effect

Metronome battles are now double battles

Add dedicated powerherb and sky drop dedicated cases for battle state tracking

Source code(tar.gz)
Source code(zip)
0.4.7(Dec 24, 2020)

This release transforms the way side conditions are tracked in Battle objects: instead of being represented as a set of SideCondition objects, aide conditions are now dict mapping SideCondition to ints.
Source code(tar.gz)
Source code(zip)
0.4.6(Dec 24, 2020)

This release adds an init option to each Player class: start_timer_on_battle_start. Setting it to True will make the player request the timer at the start of each battle.
Source code(tar.gz)
Source code(zip)
0.4.5(Dec 22, 2020)
This release introduces preliminary gen 4, 5 and 6 support. It introduces and / or adapts missing mechanisms and showdown quirks that are specific to these past gens. Additionally, it:

Adds Gen4EnvSinglePlayer, Gen5EnvSinglePlayer and Gen6EnvSinglePlayer classes

Adds defaults battle formats for EnvPlayer children classes. In particular, GenXEnvSinglePlayer now automatically defaults to genXrandombattles. EnvPlayer defaults to gen8randombattles.

Fixes misc issues in Effect names.

Source code(tar.gz)
Source code(zip)
0.4.4(Dec 16, 2020)

This releases adapts to updates in showdown's protocol and introduces a more tolerant system for dealing with unrecognized showdown messages (ie. log a warning instead of raising an exception).
Source code(tar.gz)
Source code(zip)
0.4.3(Dec 1, 2020)

This release adds Enum values in poke_env.environment.effect.Effect.
Source code(tar.gz)
Source code(zip)
0.4.2(Nov 26, 2020)

This release is focused on performance optimization, and includes a reduction of ~30% to 40% in message handling time. This is mainly achieved through a more performant json de serialization library, better caching and many minor optimizations.

Additionally, a couple of missing Enums were also added.

This release also includes BattleOrder objects, which are wrappers of messages sent to showdown during a battle.
Source code(tar.gz)
Source code(zip)
0.4.1(Nov 16, 2020)

Source code(tar.gz)
Source code(zip)
0.4.0(Nov 15, 2020)

This version introduces preliminary doubles support!

The Battle backend has also been refactored into AbstractBattle, Battle and DoubleBattle.

Thanks @szymonWojdat for your amazing work!
Source code(tar.gz)
Source code(zip)
0.3.11(Nov 15, 2020)

Source code(tar.gz)
Source code(zip)
0.3.10(Nov 9, 2020)

This release introduces a minor bug fix regarding battle tag parsing; private battles (eg. invite-only) should now be managed properly. For more information, please see #88.
Source code(tar.gz)
Source code(zip)
0.3.9(Nov 2, 2020)

This release adds Crown Tundra data and compatibility.
Source code(tar.gz)
Source code(zip)
0.3.8(Oct 27, 2020)
This releases fixes a couple of bugs:

Some enumeration values were missing

EnvPlayer was unable to run play_against multiple times

Source code(tar.gz)
Source code(zip)
0.3.7(Oct 22, 2020)

This release brings poke-env up to date with showdown's post-isle of armor release state.
Source code(tar.gz)
Source code(zip)
0.3.6(Sep 16, 2020)
This release introduces a couple of minor bugfixes:

In showdown team parsing, pokemons without items caused errors as per #65

Showdown t: messages could cause errors

swap-boosts messages were not correctly parsed

SHP had a couple of small quirks (#61)

Additionally, this release also adds raw stats utilities contributed by @dmizr (#54).
Source code(tar.gz)
Source code(zip)
0.3.5(Jun 8, 2020)
This releases fixes a bug arising when special moves (eg. recharge) are used in Pokemon.damage_multiplier by introducing a default returned value of 1 when the argument move has no type.

Other changes:

RandomPlayer can be found in poke_env.player.baselines as well as poke_env.player.random_player.

Add choose_default_move method to Player.

An infinite battle loop could arose with baseline players in very specific situations related to ditto. A fail-safe mechanism has been introduced to evade them: when specific errors are encountered in a battle, the selected move has a small chance of being showdown's default order.

Source code(tar.gz)
Source code(zip)

Owner

Haris Sahovic

Data Scientist @ eochgroup

GitHub Repository https://poke-env.readthedocs.io/

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A python interface for training Reinforcement Learning bots to battle on pokemon showdown

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Releases(0.5.0)

0.5.0(Aug 25, 2022)

0.4.21(Nov 11, 2021)

0.4.20(Oct 8, 2021)

0.4.19(Sep 20, 2021)

0.4.18(Sep 10, 2021)

0.4.17(Aug 19, 2021)

0.4.16(Jul 21, 2021)

0.4.15(May 26, 2021)

0.4.14(May 23, 2021)

0.4.13(May 14, 2021)

0.4.12(Apr 25, 2021)

0.4.11(Apr 17, 2021)

0.4.10(Apr 5, 2021)

0.4.9(Apr 1, 2021)

0.4.8(Feb 27, 2021)

0.4.7(Dec 24, 2020)

0.4.6(Dec 24, 2020)

0.4.5(Dec 22, 2020)

0.4.4(Dec 16, 2020)

0.4.3(Dec 1, 2020)

0.4.2(Nov 26, 2020)

0.4.1(Nov 16, 2020)

0.4.0(Nov 15, 2020)

0.3.11(Nov 15, 2020)

0.3.10(Nov 9, 2020)

0.3.9(Nov 2, 2020)

0.3.8(Oct 27, 2020)

0.3.7(Oct 22, 2020)

0.3.6(Sep 16, 2020)

0.3.5(Jun 8, 2020)

Owner

Haris Sahovic

The Rich Get Richer: Disparate Impact of Semi-Supervised Learning

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

HGCAE Pytorch implementation. CVPR2021 accepted.

Code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge.

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

A small library for creating and manipulating custom JAX Pytree classes

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.

Evolution Strategies in PyTorch

DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction (3DV 2021)

fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.

For the paper entitled ''A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining''

Modular Gaussian Processes

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages

Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021)

Model search is a framework that implements AutoML algorithms for model architecture search at scale

Official PyTorch implementation of the ICRA 2021 paper: Adversarial Differentiable Data Augmentation for Autonomous Systems.