Explorer AI

[jackpoz]

Implement "Explorer AI" which should explore the world but avoiding any aggro, trying to get the Explorer achievement. Choose an optimized path based on where to go, taking into account learnt and to learn taxi paths.

Useful infos provided by @Warpten: Achievement.dbc, look for the criterias, then down into Achievement_Criteria.dbc, look for criteria id. if main requirement (first value of the huge ass union) is 8, go to the criteria indicated in second field. if it's 40-ish, open AreaPOIPoint.dbc, look for that second field's value as key. you get the x and y for the criteria

[jackpoz]

Progress will be tracked at https://github.com/jackpoz/BotFarm/commits/explorer_ai branch

[jackpoz]

Find area from WorldMapArea.dbc using mapid/x/y/z, Get area id, find rows in WorldMapOverlay.dbc with that id, find criterias in Achivement_Criteria.dbc with type ACHIEVEMENT_CRITERIA_TYPE_EXPLORE_AREA = 43 and the map overlay, then get all Achievement_Criteria with same Achievement id and find the locations of those areas from AreaTable.dbc

WorldMapArea with mapid/x/y/z -> WorldMapOverlay with the id -> Achievement_Criteria -> Achievement -> Achievement_Criteria -> WorldMapOverlay -> AreaTable, only missing piece is AreaTable -> x/y/z

GridMap::getArea(float x, float y) might be used to implement a getXandY(uint16 areaFlag). The vmaps areas will have to be retrieved manually and saved somewhere.

[jackpoz]

All the locations could be retrieved once, saved in an xml and used by BotFarm to avoid runtime slowdowns.

[jackpoz]

37120f3

lots of improvements left to do but at least the bot successfully explored the whole Elwynn Forest and earnt the achievement