179 lines
7.2 KiB
Python
179 lines
7.2 KiB
Python
# LG training bot movement: steers the bot named "lgbot" like a human LG duelist (ground ADAD
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# strafing with uneven holds and fakes, keeps LG range, never jumps). Aim comes from the bot's
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# character file (botfiles/bots/lgbot_c.c, the number in "addbot lgbot N"); this plugin only moves it.
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# Settings are cvars (the ./lgbot script sets them): lgbot_move 1-5 picks a preset, the detail cvars
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# override one part of it, -1 = use the preset. The pattern code below has no minqlx dependency so
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# tools/test_lgbot.py and tools/lgbot.py can import it.
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import math
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import random
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import time
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RUN_SPEED = 320 # QL ground run speed, units/s
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KEYS = ["strafe_min", "strafe_max", "fake", "range", "range_play", "speed"]
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LIMITS = {"strafe_min": (50, 2000), "strafe_max": (50, 2000), "fake": (0, 100),
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"range": (150, 750), "range_play": (0, 1), "speed": (50, 100)}
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PRESETS = {
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1: {"strafe_min": 600, "strafe_max": 1000, "fake": 0, "range": 450, "range_play": 0, "speed": 80},
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2: {"strafe_min": 400, "strafe_max": 800, "fake": 10, "range": 450, "range_play": 0, "speed": 90},
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3: {"strafe_min": 250, "strafe_max": 600, "fake": 25, "range": 400, "range_play": 1, "speed": 100},
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4: {"strafe_min": 180, "strafe_max": 450, "fake": 35, "range": 380, "range_play": 1, "speed": 100},
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5: {"strafe_min": 120, "strafe_max": 350, "fake": 50, "range": 350, "range_play": 1, "speed": 100},
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}
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PUSH_RANGE, BACKOFF_RANGE = 250, 700
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BACKOFF_HEALTH, PUSH_LEAD = 60, 30
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MAX_TARGET_DIST = 1500
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def to_int(text):
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"""Cvar text -> int, None when unset or junk (so a typo falls back to the preset)."""
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try:
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return int(float(text))
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except (TypeError, ValueError):
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return None
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def resolve(move, overrides):
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"""Preset for movement level `move` with the valid (>= 0) overrides applied, clamped."""
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try:
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move = min(5, max(1, int(move)))
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except (TypeError, ValueError):
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move = 3
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s = dict(PRESETS[move])
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for k, v in overrides.items():
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if k in LIMITS and isinstance(v, int) and v >= 0:
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lo, hi = LIMITS[k]
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s[k] = min(hi, max(lo, v))
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s["strafe_max"] = max(s["strafe_max"], s["strafe_min"])
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return s
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class Strafer:
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"""Strafe direction over time: holds one side for strafe_min..strafe_max ms, then switches.
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A fake is a 60-120 ms tap to the other side followed by a new hold on the original side."""
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def __init__(self, rng=random):
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self.rng = rng
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self.direction = 1
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self.until = 0
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self.faking = False
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def step(self, now_ms, s):
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if now_ms >= self.until:
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self.direction = -self.direction
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if self.faking:
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self.faking = False
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self.until = now_ms + self.rng.randint(s["strafe_min"], s["strafe_max"])
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elif self.rng.random() * 100 < s["fake"]:
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self.faking = True
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self.until = now_ms + self.rng.randint(60, 120)
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else:
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self.until = now_ms + self.rng.randint(s["strafe_min"], s["strafe_max"])
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return self.direction
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def wanted_range(s, my_hp, target_hp):
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if s["range_play"]:
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if my_hp < BACKOFF_HEALTH:
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return BACKOFF_RANGE
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if my_hp >= target_hp + PUSH_LEAD:
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return PUSH_RANGE
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return s["range"]
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def steer(bot_xy, target_xy, direction, s, want):
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"""Horizontal velocity: strafe sideways to the target, plus in/out to hold `want` distance."""
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cap = RUN_SPEED * s["speed"] / 100.0
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dx, dy = target_xy[0] - bot_xy[0], target_xy[1] - bot_xy[1]
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dist = math.hypot(dx, dy)
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if dist < 1:
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return (direction * cap, 0.0)
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ux, uy = dx / dist, dy / dist
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radial = max(-0.7 * cap, min(0.7 * cap, (dist - want) * 2.0))
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side = math.sqrt(max(0.0, cap * cap - radial * radial))
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return (-uy * direction * side + ux * radial, ux * direction * side + uy * radial)
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def fix_z(vz):
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"""Cancel a jump (QL jump velocity is ~275); leave slopes, falling and jump pads alone."""
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return 0.0 if 200 <= vz <= 320 else vz
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def pick_target(bot_xy, candidates, max_dist=MAX_TARGET_DIST):
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best, best_d = None, max_dist
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for xy, obj in candidates:
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d = math.hypot(xy[0] - bot_xy[0], xy[1] - bot_xy[1])
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if d <= best_d:
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best, best_d = obj, d
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return best
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try:
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import minqlx
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except ImportError: # imported by tests / the setup script outside the server
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minqlx = None
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if minqlx:
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class lgbot(minqlx.Plugin):
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def __init__(self):
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super().__init__()
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self.set_cvar_once("lgbot_move", "3")
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for k in KEYS:
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self.set_cvar_once("lgbot_" + k, "-1")
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self.set_cvar_once("lgbot_debug", "0")
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self.set_cvar_once("lgbot_target_bots", "0") # test aid: let it fight other bots
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self.strafer = Strafer()
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self.settings, self.read_at, self.log_at = None, 0.0, 0.0
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self.debug = self.target_bots = False
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self.failed = False
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self.add_hook("frame", self.handle_frame)
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def handle_frame(self):
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try:
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self.tick()
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except Exception:
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if not self.failed: # log once, never spam 40 tracebacks a second
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self.failed = True
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minqlx.log_exception(self)
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def read_cvars(self, now):
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if self.settings is None or now - self.read_at >= 1.0:
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over = {k: to_int(self.get_cvar("lgbot_" + k)) for k in KEYS}
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self.settings = resolve(to_int(self.get_cvar("lgbot_move")), over)
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self.debug = bool(to_int(self.get_cvar("lgbot_debug")))
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self.target_bots = bool(to_int(self.get_cvar("lgbot_target_bots")))
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self.read_at = now
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return self.settings
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def tick(self):
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players = self.players()
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bot = next((p for p in players if p.clean_name.lower() == "lgbot"), None)
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if bot is None or not bot.is_alive:
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return
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now = time.time()
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s = self.read_cvars(now)
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cands = []
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for p in players:
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if p.id == bot.id or p.team == "spectator" or not p.is_alive:
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continue
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if p.steam_id == 0 and not self.target_bots: # bots have Steam ID 0
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continue
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pos = p.position()
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cands.append(((pos.x, pos.y), p))
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bpos = bot.position()
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target = pick_target((bpos.x, bpos.y), cands)
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if target is None:
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return # nobody to duel: stock AI roams
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tpos = target.position()
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direction = self.strafer.step(int(now * 1000), s)
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want = wanted_range(s, bot.health, target.health)
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vx, vy = steer((bpos.x, bpos.y), (tpos.x, tpos.y), direction, s, want)
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vel = bot.velocity()
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bot.velocity(x=vx, y=vy, z=fix_z(vel.z))
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if self.debug and now - self.log_at >= 1.0:
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self.log_at = now
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dist = math.hypot(tpos.x - bpos.x, tpos.y - bpos.y)
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self.logger.info("lgbot dist=%d want=%d dir=%d cmd=%d actual=%d z=%d",
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dist, want, direction, math.hypot(vx, vy),
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math.hypot(vel.x, vel.y), vel.z)
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