power policy: cap power by range and energy, gate 3.0 on above-average chances
Implements the user's energy management request: "firing from more than 200px should be a 'not good chances zone' so faster bullets and more chances to hit matters more than single hit damage with low chances. When we are lower than 50 health, same thing. I would like to use 3.0 power only when the chances of hitting are higher than average." Design: a CAP on top of the existing `bestPower`, not a rewrite. `bestPower` still answers "which bin does this gun's own data prefer"; the policy caps it: ramming -> 3.0 (reason ram, exempt) dist > TR_POWER_FAR_DIST (200) -> 1.0 (far) elif selfEnergy < TR_POWER_LOW_ENERGY (50) -> 1.0 (lowEnergy) elif pEst <= pRef -> 2.0 (belowAvg) else -> 3.0 (full) power = min(gunPreferredBinPower, cap) # can only LOWER power p=1.0 is the right "low" tier on the measured mechanics: bullet speed 20-3p so p=1.0 gives speed 17 vs 11 at p=3.0 (55% faster = less lead error), fire interval 10+2p so 12 ticks vs 16 (33% more shots), and drain 0.083/turn vs 0.1875 (2.25x slower). All three things the user asked for at long range. pEst = the chosen bin's virtual rate (gun aggregate when the bin is empty); pRef = the gun's aggregate mean unless TR_POWER_REF > 0. No-data guns are vacuously below-average -> cap 2.0 (conservative, documented). Control arm: TR_POWER_POLICY=0 = uncapped = today's behaviour exactly. Knobs: TR_POWER_POLICY, TR_POWER_FAR_DIST, TR_POWER_LOW_ENERGY, TR_POWER_FAR_CAP, TR_POWER_MID_CAP, TR_POWER_REF, TR_POWER_LOG. TR_POWER_MID_CAP exists because the user did not specify the middle case (close + healthy + not-above-average); 2.0 is the default, flippable to 1.0. Seam: the cap lives in a pure `applyPowerPolicy` and is applied only in `selectShot` (the single place real shots are chosen), so the logic is testable without a battle. Ram is wired from `shouldRam` - the same value the movement dispatch uses for the (0,50) band. CORRECTION TO AN ASSUMPTION IN THE TASK: `offline_range.nim` does NOT call `bestPower`/`selectShot` - it only replays virtual-bullet spawn/resolve across all power bins, independent of the real shot's power. So there is no offline power-selection path that could diverge from the live one, and the acceptance test guards the metric, not the policy. Policy coverage therefore comes from the new unit test. Verification: test_power_policy 26/26 in BOTH modes (default and TR_POWER_POLICY=0 control arm); test_gun_harness 39, test_vbullet_metric 11, test_power_selection 3, test_adaptive_radar 41, test_tfil_ring_weights 24; acceptance_offline_vs_online 12/12 VERDICT PASS (live battle). ModularBot compiles. UNVERIFIED: the live effect on damage/survival/score. No A/B has run.
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@@ -66,10 +66,40 @@ proc shouldFire*(currentGunDir, targetAngle, gunHeat, distPx: float): bool =
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elif delta < -180.0: delta += 360.0
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abs(delta) <= aimToleranceDeg(distPx) and gunHeat <= 0.0
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proc selectShot*(t: var VirtualTracker, targetId: int = -1, tick = 0): (GunId, int, float) =
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proc selectShotPolicy*(t: var VirtualTracker, targetId = -1, tick = 0,
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dist = 0.0, selfEnergy = 100.0,
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ramming = false): (GunId, int, float, PowerCap) =
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## `selectShot` plus the energy-aware power-policy decision, so a caller can
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## log the cap and its reason (see `applyPowerPolicy` in virtual_bullets).
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##
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## `dist` is the current distance (px) to the target and `selfEnergy` our own
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## energy; `ramming` exempts the caps (the movement code's `shouldRam` is the
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## single source of truth). The policy is applied identically wherever this is
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## called, so live and any offline caller cannot diverge.
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let gunId = t.selectGun(targetId, tick)
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let (prefBin, preferred) = t.bestPower(gunId, targetId)
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# pEst / pRef mirror `bestPower`'s own fitness source (per-target when data
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# exists, else the deterministic aggregate). An empty bin carries no rate of
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# its own, so it borrows the gun's aggregate — the same "no data" case the
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# policy documents.
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let fit = t.fitnessFor(targetId)
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let pRef = if PowerRefFixed > 0.0: PowerRefFixed
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else: gunRate(fit[gunId], pooled = true)
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let pEst =
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if fit[gunId].bins[prefBin].count == 0: pRef
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else: fit[gunId].bins[prefBin].hitRate()
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let dec = applyPowerPolicy(preferred, dist, selfEnergy, pEst, pRef, ramming)
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result = (gunId, binIndexForPower(dec.power), dec.power, dec)
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proc selectShot*(t: var VirtualTracker, targetId = -1, tick = 0,
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dist = 0.0, selfEnergy = 100.0,
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ramming = false): (GunId, int, float) =
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## Returns (gunId, powerBinIdx, power) — the shot to take this tick.
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## Pass targetId to pick the best gun for that specific enemy. `tick` drives
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## the minimum-dwell hysteresis (see `selectGun`).
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let gunId = t.selectGun(targetId, tick)
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let (binIdx, power) = t.bestPower(gunId, targetId)
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## the minimum-dwell hysteresis (see `selectGun`). `dist`/`selfEnergy`/`ramming`
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## feed the energy-aware power cap (`TR_POWER_POLICY`); defaults keep every
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## existing caller compiling, and `TR_POWER_POLICY=0` reproduces the uncapped
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## `bestPower` preference. Use `selectShotPolicy` when the cap/reason is needed.
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let (gunId, binIdx, power, _) =
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t.selectShotPolicy(targetId, tick, dist, selfEnergy, ramming)
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result = (gunId, binIdx, power)
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@@ -599,6 +599,103 @@ proc bestPower*(t: VirtualTracker, gunId: GunId, targetId: int = -1): (int, floa
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if fw.count == 0 or fw.hitRate() >= bar:
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return (binIdx, PowerBins[binIdx])
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# ── energy-aware power policy (TR_POWER_*) ───────────────────────────────────
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#
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# `bestPower` answers "which power bin does this gun's own virtual data prefer?"
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# and is deliberately left untouched. The policy below CAPS that preference using
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# only cheap, always-available state — range, our own energy, and the gun's own
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# rate — so a long-range or low-energy shot trades single-hit damage for a
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# faster bullet (speed = 20-3p, so LOW power is FASTER and needs less lead) and a
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# shorter fire interval (10+2p, so LOW power = MORE shots). It never RAISES
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# power, so the shipped behaviour is exactly the `cap = 3.0` case, which is also
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# the control arm (`TR_POWER_POLICY=0`).
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#
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# Measured basis (real shots vs DrussGT, 8-16 runs): hit rate 21.6% at 0-100px,
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# 27.1% at 100-200, then 19.3% at 200-300, 10.9% at 300-400, 6.8% at 400-600 and
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# 5.4% at 600-800. Energy math: E[dE] = p(3P-1), so the break-even hit
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# probability is 1/3 INDEPENDENT of power; at range/low energy the extra speed
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# and shots of p=1.0 dominate. Damage is 4p (p<=1) / 6p-2 (p>1).
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const
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PowerPolicyEnvVar* = "TR_POWER_POLICY" ## 0 = control arm (uncapped)
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PowerFarDistEnvVar* = "TR_POWER_FAR_DIST" ## px; beyond this = bad-chances zone
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PowerLowEnergyEnvVar* = "TR_POWER_LOW_ENERGY" ## self energy below this = conserve
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PowerFarCapEnvVar* = "TR_POWER_FAR_CAP" ## cap for far / low-energy
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PowerMidCapEnvVar* = "TR_POWER_MID_CAP" ## cap when close+healthy but not above avg
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PowerRefEnvVar* = "TR_POWER_REF" ## 0 = gun's own mean; >0 = fixed P_ref
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let PowerPolicyEnabled* = envBool(PowerPolicyEnvVar, true)
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let PowerFarDist* = envFloat(PowerFarDistEnvVar, 200.0)
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let PowerLowEnergy* = envFloat(PowerLowEnergyEnvVar, 50.0)
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let PowerFarCap* = envFloat(PowerFarCapEnvVar, 1.0)
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let PowerMidCap* = envFloat(PowerMidCapEnvVar, 2.0)
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let PowerRefFixed* = envFloat(PowerRefEnvVar, 0.0)
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type
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PowerReason* = enum
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prFull ## above-average chances, close, healthy -> full power
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prFar ## beyond TR_POWER_FAR_DIST -> bad-chances zone
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prLowEnergy ## self energy below TR_POWER_LOW_ENERGY -> conserve
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prBelowAvg ## chances not above the gun's own average -> no power 3.0
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prRam ## ramming: exempt (at contact P->1, so 3.0 is correct)
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PowerCap* = object
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power*: float ## the power to fire (<= the gun's preference)
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cap*: float ## the cap applied (3.0 = uncapped)
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reason*: PowerReason ## why
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proc powerReasonName*(r: PowerReason): string =
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case r
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of prFull: "full"
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of prFar: "far"
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of prLowEnergy: "lowEnergy"
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of prBelowAvg: "belowAvg"
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of prRam: "ram"
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proc binIndexForPower*(power: float): int =
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## Index of `power` in `PowerBins`; if it is not an exact bin value, the
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## highest bin whose power does not exceed it (0 if none). Keeps the returned
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## bin index consistent with a capped power.
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result = 0
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for i in 0..<len(PowerBins):
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if abs(PowerBins[i] - power) < 1e-9: return i
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if PowerBins[i] <= power: result = i
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proc applyPowerPolicy*(preferredPower, dist, selfEnergy, pEst, pRef: float,
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ramming: bool,
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enabled = PowerPolicyEnabled,
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farDist = PowerFarDist,
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lowEnergy = PowerLowEnergy,
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farCap = PowerFarCap,
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midCap = PowerMidCap): PowerCap =
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## PURE cap core — no tracker, no battle. `power = min(preferredPower, cap)`,
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## so the result can only ever LOWER the gun's own preference. Order of
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## precedence: ram (exempt) > far > low energy > below average > full.
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##
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## `pEst` is the gun's rate for the bin it chose (or its aggregate when that
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## bin is empty); `pRef` is the gun's aggregate mean (or the fixed
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## `TR_POWER_REF`). A cold gun has no data, so `pEst <= pRef` is vacuously
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## true and it gets the mid cap — deliberately conservative until it has
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## evidence its chances are above average.
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if ramming:
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return PowerCap(power: preferredPower, cap: 3.0, reason: prRam)
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if not enabled:
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return PowerCap(power: preferredPower, cap: 3.0, reason: prFull)
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var cap: float
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var reason: PowerReason
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if dist > farDist:
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cap = farCap
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reason = prFar
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elif selfEnergy < lowEnergy:
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cap = farCap
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reason = prLowEnergy
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elif pEst <= pRef:
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cap = midCap
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reason = prBelowAvg
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else:
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cap = 3.0
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reason = prFull
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PowerCap(power: min(preferredPower, cap), cap: cap, reason: reason)
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proc chooseFromFit*(fit: seq[GunFitness], diag: ptr SelectorDiag = nil,
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mode: SelectorMode = smAbsolute,
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referenceRate = -1.0,
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@@ -0,0 +1,207 @@
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## Unit guard for the energy-aware power policy (TR_POWER_*).
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##
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## The policy is a CAP on the gun's own preferred bin: at long range or low
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## energy it trades single-hit damage for a faster bullet and more shots, and it
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## withholds power 3.0 unless the gun's own chances for the chosen bin are above
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## that gun's average. It must NEVER raise power, and `TR_POWER_POLICY=0` must
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## reproduce the uncapped preference exactly (the control arm).
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##
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## Pure: no Java, no battle. Run:
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## nim c -r common_libs/tests/test_power_policy.nim
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## and once with the flag off:
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## TR_POWER_POLICY=0 nim c -r common_libs/tests/test_power_policy.nim
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import std/[strformat, math, tables]
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import gun_harness/virtual_bullets
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import gun_harness/selector
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var failures = 0
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proc check(name: string, ok: bool) =
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if ok: echo "PASS: ", name
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else: echo "FAIL: ", name; inc failures
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proc recordHit(fw: var FitnessWindow, hit: bool) =
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fw.hits[fw.head] = hit
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fw.head = (fw.head + 1) mod WindowSize
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inc fw.count
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proc seedWindow(t: var VirtualTracker, targetId, gunId, binIdx, hits, misses: int) =
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if targetId notin t.fitness:
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t.fitness[targetId] = newSeq[GunFitness](t.numGuns)
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var fw = addr t.fitness[targetId][gunId].bins[binIdx]
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for _ in 0..<hits: recordHit(fw[], true)
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for _ in 0..<misses: recordHit(fw[], false)
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# ── pure cap core ────────────────────────────────────────────────────────────
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proc testFar() =
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let d = applyPowerPolicy(preferredPower = 3.0, dist = 250.0, selfEnergy = 100.0,
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pEst = 0.9, pRef = 0.1, ramming = false, enabled = true)
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check "distance > TR_POWER_FAR_DIST -> cap 1.0 (far)",
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d.power == 1.0 and d.cap == 1.0 and d.reason == prFar
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proc testLowEnergy() =
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let d = applyPowerPolicy(3.0, 100.0, 30.0, 0.9, 0.1, false, enabled = true)
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check "self energy < TR_POWER_LOW_ENERGY -> cap 1.0 (lowEnergy)",
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d.power == 1.0 and d.cap == 1.0 and d.reason == prLowEnergy
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proc testBelowAverage() =
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# pEst == pRef is "not above average": withhold power 3.0 -> cap 2.0.
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let d = applyPowerPolicy(3.0, 100.0, 100.0, 0.2, 0.2, false, enabled = true)
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check "chances not above average -> cap 2.0 (belowAvg)",
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d.power == 2.0 and d.cap == 2.0 and d.reason == prBelowAvg
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# Strictly below also caps.
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let e = applyPowerPolicy(3.0, 100.0, 100.0, 0.1, 0.2, false, enabled = true)
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check "chances strictly below average -> cap 2.0 (belowAvg)",
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e.power == 2.0 and e.reason == prBelowAvg
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proc testAboveAverageFull() =
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let d = applyPowerPolicy(3.0, 100.0, 100.0, 0.5, 0.2, false, enabled = true)
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check "above average + close + healthy -> cap 3.0 (full)",
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d.power == 3.0 and d.cap == 3.0 and d.reason == prFull
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proc testRamExempt() =
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# Far, low energy, no chance data: still full power because we are ramming.
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let d = applyPowerPolicy(3.0, 500.0, 5.0, 0.0, 0.9, true)
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check "ramming exempts the caps even far + low energy",
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d.power == 3.0 and d.reason == prRam
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# Ram beats far even with the policy on.
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let e = applyPowerPolicy(3.0, 500.0, 5.0, 0.0, 0.9, true, enabled = true)
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check "ram exemption takes precedence over the far cap", e.power == 3.0
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proc testCapNeverRaises() =
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# Preferred below every cap must pass through untouched.
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let a = applyPowerPolicy(1.0, 500.0, 5.0, 0.0, 0.9, false, enabled = true)
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check "far cap does not raise a preferred p=1.0", a.power == 1.0
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let b = applyPowerPolicy(1.5, 100.0, 100.0, 0.1, 0.2, false, enabled = true)
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check "mid cap does not raise a preferred p=1.5", b.power == 1.5
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let c = applyPowerPolicy(1.5, 100.0, 100.0, 0.9, 0.2, false, enabled = true)
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check "full cap does not raise a preferred p=1.5", c.power == 1.5
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proc testPrecedence() =
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# far beats low energy, and low energy beats belowAvg.
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let a = applyPowerPolicy(3.0, 500.0, 5.0, 0.0, 0.9, false, enabled = true)
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check "far takes precedence over low energy", a.reason == prFar
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let b = applyPowerPolicy(3.0, 100.0, 5.0, 0.0, 0.9, false, enabled = true)
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check "low energy takes precedence over belowAvg", b.reason == prLowEnergy
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proc testDisabledUncapped() =
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# enabled=false is the code path TR_POWER_POLICY=0 drives.
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for p in [1.0, 1.5, 2.0, 3.0]:
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let d = applyPowerPolicy(p, 500.0, 5.0, 0.0, 0.9, false, enabled = false)
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check fmt"policy off reproduces the uncapped preference p={p:.1f}",
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d.power == p and d.cap == 3.0
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proc testEnvFlag() =
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# The flag is read once at module init, so the active branch is selected by
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# the process environment. Run the test twice (default and TR_POWER_POLICY=0).
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if PowerPolicyEnabled:
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check "TR_POWER_POLICY default (on): far shot is capped to 1.0",
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applyPowerPolicy(3.0, 300.0, 100.0, 0.5, 0.2, false).power == 1.0
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else:
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check "TR_POWER_POLICY=0: far shot is NOT capped (control arm)",
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applyPowerPolicy(3.0, 300.0, 100.0, 0.5, 0.2, false).power == 3.0
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proc testBinIndex() =
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check "binIndexForPower maps the shipped bins exactly",
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binIndexForPower(1.0) == 0 and binIndexForPower(1.5) == 1 and
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binIndexForPower(2.0) == 2 and binIndexForPower(3.0) == 3
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check "binIndexForPower snaps a non-bin cap to the highest bin not above it",
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binIndexForPower(2.5) == 2 and binIndexForPower(0.5) == 0
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proc testReasonNames() =
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check "reason names match the documented log vocabulary",
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powerReasonName(prFar) == "far" and
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powerReasonName(prLowEnergy) == "lowEnergy" and
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powerReasonName(prBelowAvg) == "belowAvg" and
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powerReasonName(prFull) == "full" and
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powerReasonName(prRam) == "ram"
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# ── integration through the tracker (per-target fitness + empty bins) ─────────
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# These depend on the process-wide flag, so each branch asserts the behaviour of
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# the mode it is actually running in.
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proc testTrackerAboveAverage() =
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var t = initTracker(1)
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# bin3 is far above this gun's aggregate (50% vs 20%): above average.
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seedWindow(t, 7, 0, 0, 10, 90)
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seedWindow(t, 7, 0, 1, 10, 90)
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seedWindow(t, 7, 0, 2, 10, 90)
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seedWindow(t, 7, 0, 3, 50, 50)
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let (g, _, p, d) = t.selectShotPolicy(7, tick = 0, dist = 100.0,
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selfEnergy = 100.0, ramming = false)
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if PowerPolicyEnabled:
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check "tracker: above-average bin + close + healthy -> power 3.0",
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g == 0 and p == 3.0 and d.reason == prFull
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else:
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check "tracker (control): above-average bin still fires power 3.0",
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g == 0 and p == 3.0
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proc testTrackerBelowAverage() =
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var t = initTracker(1)
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for b in 0..<len(PowerBins):
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seedWindow(t, 7, 0, b, 20, 80) # all bins equal: chosen bin not above mean
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let (_, _, p, d) = t.selectShotPolicy(7, tick = 0, dist = 100.0,
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selfEnergy = 100.0, ramming = false)
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if PowerPolicyEnabled:
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check "tracker: flat gun -> cap 2.0 (belowAvg)", p == 2.0 and d.reason == prBelowAvg
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else:
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check "tracker (control): flat gun keeps its uncapped preference (power 3.0)",
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p == 3.0
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proc testTrackerFarAndLowEnergy() =
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var t = initTracker(1)
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seedWindow(t, 7, 0, 3, 50, 50)
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let (_, _, pFar, dFar) = t.selectShotPolicy(7, 0, dist = 250.0,
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selfEnergy = 100.0, ramming = false)
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let (_, _, pLow, dLow) = t.selectShotPolicy(7, 0, dist = 100.0,
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selfEnergy = 30.0, ramming = false)
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if PowerPolicyEnabled:
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check "tracker: far -> power 1.0", pFar == 1.0 and dFar.reason == prFar
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check "tracker: low energy -> power 1.0", pLow == 1.0 and dLow.reason == prLowEnergy
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else:
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check "tracker (control): far does NOT cap (uncapped preference)", pFar == 3.0
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check "tracker (control): low energy does NOT cap (uncapped preference)", pLow == 3.0
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proc testTrackerColdAndEmptyBin() =
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var t = initTracker(1)
|
||||
let (_, _, pCold, dCold) = t.selectShotPolicy(7, 0, dist = 100.0,
|
||||
selfEnergy = 100.0, ramming = false)
|
||||
if PowerPolicyEnabled:
|
||||
# Cold gun: no data at all -> pEst <= pRef vacuously -> mid cap, but the
|
||||
# preferred bin is already 1.0, so the fired power stays 1.0.
|
||||
check "tracker: cold gun gets the mid cap but keeps its p=1.0 preference",
|
||||
pCold == 1.0 and dCold.reason == prBelowAvg
|
||||
else:
|
||||
check "tracker (control): cold gun keeps its p=1.0 preference", pCold == 1.0
|
||||
|
||||
proc testTrackerRamExempt() =
|
||||
var t = initTracker(1)
|
||||
seedWindow(t, 7, 0, 3, 50, 50)
|
||||
let (_, _, p, d) = t.selectShotPolicy(7, 0, dist = 500.0,
|
||||
selfEnergy = 5.0, ramming = true)
|
||||
check "tracker: ramming exempts the caps", p == 3.0 and d.reason == prRam
|
||||
|
||||
# ── driver ───────────────────────────────────────────────────────────────────
|
||||
|
||||
testFar()
|
||||
testLowEnergy()
|
||||
testBelowAverage()
|
||||
testAboveAverageFull()
|
||||
testRamExempt()
|
||||
testCapNeverRaises()
|
||||
testPrecedence()
|
||||
testDisabledUncapped()
|
||||
testEnvFlag()
|
||||
testBinIndex()
|
||||
testReasonNames()
|
||||
testTrackerAboveAverage()
|
||||
testTrackerBelowAverage()
|
||||
testTrackerFarAndLowEnergy()
|
||||
testTrackerColdAndEmptyBin()
|
||||
testTrackerRamExempt()
|
||||
|
||||
if failures > 0:
|
||||
echo "\n", failures, " check(s) FAILED"
|
||||
quit(1)
|
||||
echo "\nAll power-policy checks passed."
|
||||
Reference in New Issue
Block a user