AI crashes when calling chankan

2017-07-03 00:26:23 INFO: Hand: 23m55z + 8s [888s, 456m, 999s]
2017-07-03 00:26:24 DEBUG: Send: <N type="5" hai="103" />
2017-07-03 00:26:24 INFO: We called a kan set!
2017-07-03 00:26:25 DEBUG: Get: <N who="0" m="38515" /> <T51/> 
2017-07-03 00:26:25 INFO: Meld: Type: chankan, Tiles: 8888s [100, 101, 102, 103] by 0
2017-07-03 00:26:25 INFO: Hand: 23m8s55z + 4p [888s, 456m, 999s]
2017-07-03 00:26:26 ERROR: Unexpected exception
Traceback (most recent call last):
  File "/mnt/d/programming/wsl/tenhou-python-bot-0.2.7/project/tenhou/main.py", line 24, in connect_and_play
    client.start_game()
  File "/mnt/d/programming/wsl/tenhou-python-bot-0.2.7/project/tenhou/client.py", line 277, in start_game
    discarded_tile = self.player.discard_tile()
  File "/mnt/d/programming/wsl/tenhou-python-bot-0.2.7/project/mahjong/player.py", line 157, in discard_tile
    tile_to_discard = self.ai.discard_tile()
  File "/mnt/d/programming/wsl/tenhou-python-bot-0.2.7/project/mahjong/ai/main.py", line 60, in discard_tile
    selected_tile = self.process_discard_options_and_select_tile_to_discard(results, shanten)
  File "/mnt/d/programming/wsl/tenhou-python-bot-0.2.7/project/mahjong/ai/main.py", line 96, in process_discard_options_and_select_tile_to_discard
    return self.chose_tile_to_discard(results)
  File "/mnt/d/programming/wsl/tenhou-python-bot-0.2.7/project/mahjong/ai/main.py", line 211, in chose_tile_to_discard
    temp_tile = results[0]
IndexError: list index out of range
2017-07-03 00:26:26 INFO: Ending the game...
2017-07-03 00:26:26 ERROR: Game was ended without success

Version is 0.2.7.

Here is the link of full log file.
https://app.box.com/s/zj8tos4qcdjcy5f3d4iolacz9dtiz88u

[mthrok]

@Nihisil I already downloaded all the logs of tenhou table from 2009 to around 2017 June. If you want to I can share them with you. (It’s in AWS s3 storage). I made a simple search engine using these logs for fun https://t.co/05bhyhmixi .

I am thinking to apply Deep Q Learning. So I suggest that we refactor the bot code in the way that different AI functions are pluggable.

A simple approach at top-level is to create a dedicated class which abstracts away the communication to tenhou.net and translate tenhou.net-specific protocol into simpler game state expression, like an array of integers.

tenhou.net <-> Communicator  <-> AI

This way, it is easier to extend the code to run with log files. We can create a new Communicator which actually reads a log file and reproduce the game with the same interface.

[Nihisil]

@mthrok

@Nihisil I already downloaded all the logs of tenhou table from 2009 to around 2017 June. If you want to I can share them with you. (It’s in AWS s3 storage). I made a simple search engine using these logs for fun https://t.co/05bhyhmixi .

Thank you, but I almost finish my downloading, so there is no need to share logs.

So I suggest that we refactor the bot code in the way that different AI functions are pluggable.

Yes. I plan to do refactoring for the next a couple of month and my main goal is build pluggable AI. So, anyone can try to implement their own AI and easy run it on the tenhou.net.

Meantime you can try to implement your AI and run it with other copies of your bot with this mahjong-server: https://github.com/mahjong-server/mahjong-server (I didn’t try it yet)