MoveFar:mmap dispatches the full chained-probe waypoint vector via
MotionMaster::MoveSplinePath instead of handing a single endpoint
to MoveTo. Removes the motion master's discretion to take a
straight-line shortcut between intermediate points (the diagonal-
through-air bug). Per-waypoint UpdateAllowedPositionZ and vmap
LoS pruning between consecutive waypoints catch geometry-crossing
pairs.
Off-mmap recovery: when the bot's start position has no mmap
polygon (PATHFIND_FARFROMPOLY_START), snap Z via vmap raycast and
NearTeleport so the next tick runs from a valid position.
LastMovement.lastPath populated after every dispatch
(LaunchWalkSpline + new mmap dispatch) so the 10% reuse and
no-worse reuse checks at the top of MoveFarTo can fire — both
gated on a 10y guard so a finished path isn't reused.
MoveFar:spline fallback uses exact_waypoint=false so MoveTo's
SearchForBestPath produces a terrain-following spline.
Per-bot ring buffer of last 3 path attempts on RpgInfo. When 3 mmap or 3 nodetravel attempts to the same dest fail, force the alternative routing strategy on the next tick. When both strategies have failed 3 times each (bothExhausted), fall through to MoveFar:spline rather than flip-flopping forever. Also drops the 10%-per-tick opportunistic combat engage during do-quest travel — the multiplier (0.20x) is the right knob; the random yield was overriding it and producing the 'still grinding too much while traveling' symptom.
Single 75y long-path gate, 40-step chained mmap probe via
WorldPosition::getPathFromPath, spellDistance shortcut to skip the
node graph when mmap can reach the destination, single-waypoint
spline fallback when both fail. MoveWorldObjectTo delegates to
MoveFarTo so quest approaches use the same routing hierarchy.
Removes the stuck-counter teleport recovery from MoveFarTo; the
UnstuckAction layer (planned) is the eventual safety net. Chain
probe fix included: getPathStepFrom uses the explicit-start
CalculatePath overload so each chain step actually advances from
the previous endpoint instead of restarting from the bot's real
position.
## Pull Request Description
Bots will now engage with outdoor pvp targets when in an area with them.
I carved this out of the guildrpg system Im working on since it should
work just fine as a standalone. Note this requires a core update
https://github.com/azerothcore/azerothcore-wotlk/pull/25103
## Feature Evaluation
Its not expensive. the status checks are fairly light and simple. Should
be on par with current rpg system actions
## How to Test the Changes
You can try to use selfbot to enable this while in EPL, or set the
probability of all other rpg actions to 0.
## Impact Assessment
<!-- As a generic test, before and after measure of pmon (playerbot pmon
tick) can help you here. -->
- Does this change increase per-bot/per-tick processing or risk scaling
poorly with thousands of bots?
- [ ] No, not at all
- [x] Minimal impact (**explain below**)
- [ ] Moderate impact (**explain below**)
There is some impact, but should be minimal overall.
- Does this change modify default bot behavior?
- [ ] No
- [x] Yes (**explain why**)
It will activate automatically based on default config.
- Does this change add new decision branches or increase maintenance
complexity?
- [ ] No
- [x] Yes (**explain below**)
## AI Assistance
Was AI assistance used while working on this change?
- [ ] No
- [x] Yes (**explain below**)
<!--
If yes, please specify:
- Purpose of usage (e.g. brainstorming, refactoring, documentation, code
generation).
- Which parts of the change were influenced or generated, and whether it
was thoroughly reviewed.
-->
Nothing beyond search functionality and autocomplete.
## Final Checklist
- [x] Stability is not compromised.
- [x] Performance impact is understood, tested, and acceptable.
- [x] Added logic complexity is justified and explained.
- [x] Documentation updated if needed (Conf comments, WiKi commands).
## Notes for Reviewers
<!-- Anything else that's helpful to review or test your pull request.
-->
---------
Co-authored-by: bash <hermensb@gmail.com>
Co-authored-by: Revision <tkn963@gmail.com>
Co-authored-by: kadeshar <kadeshar@gmail.com>
# Pull Request
Feature - Enable multi node flying for bots
- Bots currently only do node to node flying. This PR makes it so they
can connect multiple noted.
-- This is enabled by sending a vector containing the node sequence
instead of a single destination node
-- To minimize the run-time cost of searching for available nodes and
connection, a cache of all possible connections is prepared at start up
using a BFS search algorithm.
Refactor
- Move all world destination logic (cities, banks, inns) to existing
Travel manager
- Eliminate flightmastercache and integrate to new manager
- replace SQLs calls with in-memory data search by core
- Add in new map that stores creature areas by template.
Clean up
- Move other rpg files to related folder.
(Next steps) The selection for where bots fly to should be smarter than
it is. Instead of trying to determine where a bot can go, it should
first decide where it should go, and then identify the correct way to
get there.
---
## Feature Evaluation
Please answer the following:
- Describe the **minimum logic** required to achieve the intended
behavior?
- Describe the **cheapest implementation** that produces an acceptable
result?
- Describe the **runtime cost** when this logic executes across many
bots?
---
## How to Test the Changes
- Step-by-step instructions to test the change
- Any required setup (e.g. multiple players, bots, specific
configuration)
- Expected behavior and how to verify it
## Complexity & Impact
Does this change add new decision branches?
- - [x[ No
- - [ ] Yes (**explain below**)
Does this change increase per-bot or per-tick processing?
- - [x] No
- - [ ] Yes (**describe and justify impact**)
Could this logic scale poorly under load?
- - [x] No
- - [ ] Yes (**explain why**)
The call itself is fairly infrequent, and although now there are a
greater number of paths available for the bots, I dont think it would be
significant.
## Defaults & Configuration
Does this change modify default bot behavior?
- - [ ] No
- - [x] Yes (**explain why**)
If this introduces more advanced or AI-heavy logic:
- - [x] Lightweight mode remains the default
- - [ ] More complex behavior is optional and thereby configurable
---
## AI Assistance
Was AI assistance (e.g. ChatGPT or similar tools) used while working on
this change?
- - [ ] No
- - [x] Yes (**explain below**)
Gemini first suggested the use of a BFS algorithm. This was rewritten by
me to actually work as intended. Verification by additional logging not
present in final code.
Claude code converted the SQL filtering to the atrocious if statements
found in PrepareDestinationCache, but after verifying them it works. If
there are better ways to do this Im open to it.
---
## Final Checklist
- - [x] Stability is not compromised
- - [x] Performance impact is understood, tested, and acceptable
- - [x] Added logic complexity is justified and explained
- - [x] Documentation updated if needed
---
## Notes for Reviewers
Anything that significantly improves realism at the cost of stability or
performance should be carefully discussed
before merging.
# Pull Request
Removed unused variables and fixed styling issues.
## How to Test the Changes
- Step-by-step instructions to test the change
- Any required setup (e.g. multiple players, bots, specific
configuration)
- Expected behavior and how to verify it
## Complexity & Impact
- Does this change add new decision branches?
- [x] No
- [] Yes (**explain below**)
- Does this change increase per-bot or per-tick processing?
- [x] No
- [ ] Yes (**describe and justify impact**)
- Could this logic scale poorly under load?
- [x] No
- [ ] Yes (**explain why**)
---
## Defaults & Configuration
- Does this change modify default bot behavior?
- [x] No
- [ ] Yes (**explain why**)
If this introduces more advanced or AI-heavy logic:
- [ ] Lightweight mode remains the default
- [ ] More complex behavior is optional and thereby configurable
---
## AI Assistance
- Was AI assistance (e.g. ChatGPT or similar tools) used while working
on this change?
- [x] No
- [ ] Yes (**explain below**)
---
## Final Checklist
- [x] Stability is not compromised
- [x] Performance impact is understood, tested, and acceptable
- [x] Added logic complexity is justified and explained
- [x] Documentation updated if needed
---
## Notes for Reviewers
This was filtered from the code provided by SmashingQuasar. Eliminated
variables were confirmed to be not used, but unclear at times if that is
due to mistakes in writing.
---------
Co-authored-by: bashermens <31279994+hermensbas@users.noreply.github.com>
# Pull Request
* Fix the rest of the trainer-related functionality: list spells and
learn (cast vs. direct learn) spells.
* Rewrite `TrainerAction`: split the logic between appropriate methods
(`GetTarget`, `isUseful`, `isPossible`) instead of pushing everything
inside a single `Execute` method.
* Change method definitions to remove unnecessary declarations and
parameters overhead.
* Move the `Trainer` header into the implementation. Rewrite
`RpgTrainTrigger` to fit the original logic and move all validation to
`RpgTrainAction` (`isUseful` + `isPossible`).
* Implement "can train" context value calculation to use with
`RpgTrainTrigger`.
* Update and optimize "train cost" context value calculation -- it
should be much faster.
* Replace `AiPlayerbot.AutoTrainSpells` with
`AiPlayerbot.AllowLearnTrainerSpells` and remove the "free" value
behavior — please use `AiPlayerbot.BotCheats` if you want bots to learn
trainer's spells for "free".
* Add `nullptr` checks wherever necessary (only inside targeted
methods/functions).
* Make some codestyle changes and corrections based on the AC codestyle
guide.
---
## Design Philosophy
We prioritize **stability, performance, and predictability** over
behavioral realism.
Complex player-mimicking logic is intentionally limited due to its
negative impact on scalability, maintainability, and
long-term robustness.
Excessive processing overhead can lead to server hiccups, increased CPU
usage, and degraded performance for all
participants. Because every action and
decision tree is executed **per bot and per trigger**, even small
increases in logic complexity can scale poorly and
negatively affect both players and
world (random) bots. Bots are not expected to behave perfectly, and
perfect simulation of human decision-making is not a
project goal. Increased behavioral
realism often introduces disproportionate cost, reduced predictability,
and significantly higher maintenance overhead.
Every additional branch of logic increases long-term responsibility. All
decision paths must be tested, validated, and
maintained continuously as the system evolves.
If advanced or AI-intensive behavior is introduced, the **default
configuration must remain the lightweight decision
model**. More complex behavior should only be
available as an **explicit opt-in option**, clearly documented as having
a measurable performance cost.
Principles:
- **Stability before intelligence**
A stable system is always preferred over a smarter one.
- **Performance is a shared resource**
Any increase in bot cost affects all players and all bots.
- **Simple logic scales better than smart logic**
Predictable behavior under load is more valuable than perfect decisions.
- **Complexity must justify itself**
If a feature cannot clearly explain its cost, it should not exist.
- **Defaults must be cheap**
Expensive behavior must always be optional and clearly communicated.
- **Bots should look reasonable, not perfect**
The goal is believable behavior, not human simulation.
Before submitting, confirm that this change aligns with those
principles.
---
## How to Test the Changes
Force bots to learn spells from trainers using the chat command `trainer
learn` or `trainer learn <spellId>`. Bots should properly list available
spells (`trainer` command) or learn them (based on configuration and
command).
## Complexity & Impact
- Does this change add new decision branches?
- [x] No
- [ ] Yes (**explain below**)
- Does this change increase per-bot or per-tick processing?
- [x] No
- [ ] Yes (**describe and justify impact**)
- Could this logic scale poorly under load?
- [x] No
- [ ] Yes (**explain why**)
---
## Defaults & Configuration
- Does this change modify default bot behavior?
- [x] No
- [ ] Yes (**explain why**)
If this introduces more advanced or AI-heavy logic:
- [x] Lightweight mode remains the default
- [ ] More complex behavior is optional and thereby configurable
---
## AI Assistance
- Was AI assistance (e.g. ChatGPT or similar tools) used while working
on this change?
- [x] No
- [ ] Yes (**explain below**)
If yes, please specify:
- AI tool or model used (e.g. ChatGPT, GPT-4, Claude, etc.)
- Purpose of usage (e.g. brainstorming, refactoring, documentation, code
generation)
- Which parts of the change were influenced or generated
- Whether the result was manually reviewed and adapted
AI assistance is allowed, but all submitted code must be fully
understood, reviewed, and owned by the contributor.
Any AI-influenced changes must be verified against existing CORE and PB
logic. We expect contributors to be honest
about what they do and do not understand.
---
## Final Checklist
- [x] Stability is not compromised
- [x] Performance impact is understood, tested, and acceptable
- [x] Added logic complexity is justified and explained
- [x] Documentation updated if needed
---
## Notes for Reviewers
Anything that significantly improves realism at the cost of stability or
performance should be carefully discussed
before merging.
---------
Co-authored-by: bashermens <31279994+hermensbas@users.noreply.github.com>
# Pull Request
This change replaces the non‑standard
WorldPosition::getX/getY/getZ/getO/getMapId wrappers with the core
getters (GetPositionX/Y/Z, GetOrientation, GetMapId) and removes the
redundant wrappers.
Goal: align the module with AzerothCore conventions, reduce local
adapters, and improve long‑term maintainability.
---
## Design Philosophy
This is a structural cleanup only (coordinate access) and does not alter
any AI behavior or decision logic.
It follows the stability/performance-first philosophy and does not add
branches or extra runtime work.
Before submitting: yes, this change aligns with the principles of
stability, performance, and predictability.
Principles:
- **Stability before intelligence**
A stable system is always preferred over a smarter one.
- **Performance is a shared resource**
Any increase in bot cost affects all players and all bots.
- **Simple logic scales better than smart logic**
Predictable behavior under load is more valuable than perfect decisions.
- **Complexity must justify itself**
If a feature cannot clearly explain its cost, it should not exist.
- **Defaults must be cheap**
Expensive behavior must always be optional and clearly communicated.
- **Bots should look reasonable, not perfect**
The goal is believable behavior, not human simulation.
Before submitting, confirm that this change aligns with those
principles.
---
## Feature Evaluation
Please answer the following:
- Minimum logic required: use core getters (GetPositionX/Y/Z, GetMapId,
GetOrientation) wherever coordinates are needed.
- Cheapest implementation: direct call replacement and removal of
redundant wrappers.
- Runtime cost: negligible (same data access, no additional logic).
---
## How to Test the Changes
- No functional testing required (behavior‑neutral refactor).
- Recommended: compile the module and run a normal server startup as
validation.
## Complexity & Impact
Does this change add new decision branches?
- - [x] No
- - [x] Yes (**explain below**)
Does this change increase per-bot or per-tick processing?
- - [x] No
- - [ ] Yes (**describe and justify impact**)
Could this logic scale poorly under load?
- - [x] No
- - [ ] Yes (**explain why**)
---
## Defaults & Configuration
Does this change modify default bot behavior?
- - [x] No
- - [ ] Yes (**explain why**)
If this introduces more advanced or AI-heavy logic:
- - [x] Lightweight mode remains the default
- - [x] More complex behavior is optional and thereby configurable
---
## AI Assistance
Was AI assistance (e.g. ChatGPT or similar tools) used while working on
this change?
- - [ ] No
- - [x] Yes (**explain below**)
If yes, please specify:
- AI tool or model used: Copilot
- Purpose of usage: Translate this PR text from french to English
---
## Final Checklist
- - [x] Stability is not compromised
- - [x] Performance impact is understood, tested, and acceptable
- - [x] Added logic complexity is justified and explained
- - [x] Documentation updated if needed
---
## Notes for Reviewers
This is a core-friendly cleanup only, with no behavioral change.
No additional logic or CPU cost is introduced.
# Pull Request
- Applies the clean and corrected singletons, Meyer pattern. (cherry
picked from @SmashingQuasar )
Testing by just playing the game in various ways. Been tested by myself
@Celandriel and @SmashingQuasar
---
## Complexity & Impact
- Does this change add new decision branches?
- [x] No
- [ ] Yes (**explain below**)
- Does this change increase per-bot or per-tick processing?
- [x] No
- [ ] Yes (**describe and justify impact**)
- Could this logic scale poorly under load?
- [x] No
- [ ] Yes (**explain why**)
---
## Defaults & Configuration
- Does this change modify default bot behavior?
- [x] No
- [ ] Yes (**explain why**)
---
## AI Assistance
- Was AI assistance (e.g. ChatGPT or similar tools) used while working
on this change?
- [x] No
- [ ] Yes (**explain below**)
---
## Final Checklist
- [x] Stability is not compromised
- [x] Performance impact is understood, tested, and acceptable
- [x] Added logic complexity is justified and explained
- [x] Documentation updated if needed
---
## Notes for Reviewers
Anything that significantly improves realism at the cost of stability or
performance should be carefully discussed
before merging.
---------
Co-authored-by: Nicolas Lebacq <nicolas.cordier@outlook.com>
Co-authored-by: Keleborn <22352763+Celandriel@users.noreply.github.com>
Refactor the flightmastercache the bots use for finding the nearest
available flight master.
I made a small change to how the original function worked by storing the
database position for the flightmaster in the cache itself. This allows
us to calculate the distance from bot before accessing the creature
object, should be faster overall.
