fix(economist): use bot positions as keys instead of non-existent IDs
- Fixed contest_assignments to use bot positions as keys since bots only have position and owner (no ID field) - Fixed tuple conversions for energy and walls to properly convert elements to int - Added curl to Dockerfile for health check support - Updated docker-compose.bots.yml for economist bot Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
jedarden
parent
0db45dcfc2
commit
dce34f97b6
3 changed files with 145 additions and 196 deletions
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@ -2,6 +2,9 @@ FROM python:3.12-alpine
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WORKDIR /app
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# Install curl for health checks
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RUN apk add --no-cache curl
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COPY bot.py .
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ENV BOT_PORT=8081
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@ -38,10 +38,12 @@ class GameState:
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self.you_id = data["you"]["id"]
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self.you_energy = data["you"]["energy"]
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self.you_score = data["you"]["score"]
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# Bots only have position and owner (no ID!)
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self.bots = data["bots"]
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self.energy = [tuple(e) for e in data.get("energy", [])]
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self.energy = [tuple(int(v) for v in e) for e in data.get("energy", [])]
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self.cores = data.get("cores", [])
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self.walls = [tuple(w) for w in data.get("walls", [])]
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self.walls = [tuple(int(v) for v in w) for w in data.get("walls", [])]
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self.dead = data.get("dead", [])
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@property
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@ -69,8 +71,9 @@ class EconomistStrategy:
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"""Implements energy-denial strategy through node contesting."""
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def __init__(self):
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self.contest_assignments: Dict[int, Position] = {} # bot_id -> energy position to contest
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self.guard_assignments: Set[int] = set() # bot_ids assigned to guard cores
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# Use bot positions as keys (since bots have no IDs)
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self.contest_assignments: Dict[Position, Position] = {} # bot_pos -> energy position to contest
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self.guard_assignments: Set[Position] = set() # bot positions assigned to guard cores
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def compute_moves(self, state: GameState) -> List[dict]:
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"""Compute moves for all owned bots."""
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@ -83,162 +86,124 @@ class EconomistStrategy:
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# Build position maps
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enemy_positions = {tuple(b["position"]): b for b in enemy_bots}
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my_bot_positions = {tuple(b["position"]): b for b in my_bots}
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# Use positions as bot identifiers
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my_bot_positions = {} # position -> bot dict
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for bot in my_bots:
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my_bot_positions[tuple(bot["position"])] = bot
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energy_positions = set(state.energy)
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# Build my cores positions
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my_core_positions = set()
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for core in state.cores:
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if core["owner"] == state.you_id:
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my_core_positions.add(tuple(core["position"]))
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# Check if we should switch to pure collection mode
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score_lead = state.you_score
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for enemy in enemy_bots:
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# Assume enemy has similar score if we can't see it
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pass # Simplified - we use our score as proxy
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pure_collection = (state.turn > 200 and
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score_lead >= 3)
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# Analyze energy nodes
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energy_analysis = self._analyze_energy_nodes(
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state.energy, my_bot_positions, enemy_positions, state
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)
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# Clear previous assignments for dead/moved bots
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self._cleanup_assignments(my_bots, energy_positions)
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# Clear previous assignments for bots that moved or died
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self._cleanup_assignments(my_bot_positions, energy_positions)
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# Assign bots to roles
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moves = []
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used_bots = set()
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used_positions = set()
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# Priority 1: Maintain existing contest assignments (stay put)
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# Priority 1: Maintain existing contest assignments
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for bot in my_bots:
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bot_id = bot["id"]
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bot_pos = tuple(bot["position"])
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if bot_id in self.contest_assignments:
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contest_pos = self.contest_assignments[bot_id]
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if bot_pos in self.contest_assignments:
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contest_pos = self.contest_assignments[bot_pos]
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if contest_pos in energy_positions:
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# Check if still contesting effectively
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used_positions.add(bot_pos)
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# If already adjacent, stay to contest; otherwise move toward it
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dist2 = self._distance2(bot_pos, contest_pos, state)
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if dist2 <= APPROACH_THRESHOLD * APPROACH_THRESHOLD:
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# Still approaching, continue
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used_bots.add(bot_id)
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# Only move if not already adjacent
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if dist2 > ADJACENT_RADIUS2:
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move = self._move_toward(bot_pos, contest_pos, state, enemy_positions)
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if move:
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moves.append({
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"position": list(bot_pos),
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"direction": move
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})
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continue
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# Priority 2: Contest threatened nodes (highest priority)
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if not pure_collection:
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threatened_energy = [
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(pos, analysis) for pos, analysis in energy_analysis.items()
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if analysis["enemy_nearby"] > 0 and analysis["my_adjacent"] == 0
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]
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# Sort by contest priority
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threatened_energy.sort(
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key=lambda x: x[1]["contest_priority"], reverse=True
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)
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for energy_pos, analysis in threatened_energy:
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if energy_pos not in energy_positions:
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continue
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# Find nearest unassigned bot
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nearest_bot = self._find_nearest_bot(
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energy_pos, my_bots, used_bots, state
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)
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if nearest_bot:
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bot_id = nearest_bot["id"]
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bot_pos = tuple(nearest_bot["position"])
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used_bots.add(bot_id)
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self.contest_assignments[bot_id] = energy_pos
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# Move toward energy to contest
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dist2 = self._distance2(bot_pos, energy_pos, state)
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if dist2 > ADJACENT_RADIUS2:
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move = self._move_toward(bot_pos, energy_pos, state, enemy_positions)
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if dist2 <= ADJACENT_RADIUS2:
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# Already adjacent - stay put to contest
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pass # Don't move, maintain contest
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else:
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# Move toward contest position
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move = self._move_toward(bot_pos, contest_pos, state, enemy_positions, avoid_enemies=False)
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if move:
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moves.append({
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"position": list(bot_pos),
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"direction": move
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})
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continue
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# Priority 3: Reserve 1-2 bots to guard cores
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guards_needed = min(2, len(my_bots) // 3)
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guards_assigned = 0
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# Priority 2: Contest visible energy nodes that enemies can also reach
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energy_by_priority = []
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for core_pos in my_core_positions:
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if guards_assigned >= guards_needed:
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break
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for energy_pos in energy_positions:
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# Count how many of MY bots can reach this energy quickly (within 8 tiles = 2 turns)
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my_reachable = 0
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nearest_my_dist = float('inf')
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for bot in my_bots:
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bot_pos = tuple(bot["position"])
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if bot_pos in used_positions:
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continue
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dist2 = self._distance2(bot_pos, energy_pos, state)
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if dist2 <= 64: # Within 8 tiles
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my_reachable += 1
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nearest_my_dist = min(nearest_my_dist, dist2)
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# Count how many ENEMY bots can reach this energy quickly
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enemy_reachable = 0
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nearest_enemy_dist = float('inf')
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if enemy_positions:
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for enemy_pos in enemy_positions:
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dist2 = self._distance2(enemy_pos, energy_pos, state)
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if dist2 <= 64: # Within 8 tiles
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enemy_reachable += 1
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nearest_enemy_dist = min(nearest_enemy_dist, dist2)
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else:
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# No enemies visible yet - prioritize nodes closer to map center
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center = (state.rows // 2, state.cols // 2)
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dist_to_center = self._distance2(energy_pos, center, state)
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nearest_enemy_dist = dist_to_center # Use as proxy
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enemy_reachable = 1 if dist_to_center < 100 else 0
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# Contest priority: nodes that BOTH sides can reach quickly
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if enemy_reachable > 0:
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# Enemies visible and reachable - HIGH contest priority
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priority = 10000.0 / (nearest_enemy_dist + nearest_my_dist + 1)
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elif nearest_enemy_dist < 100:
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# No enemies visible but node is near center - MEDIUM priority
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priority = 1000.0 / (nearest_my_dist + 1)
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else:
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# Node far from center - LOW priority
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priority = 100.0 / (nearest_my_dist + 1)
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energy_by_priority.append((energy_pos, priority, nearest_my_dist))
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# Sort by priority descending (highest first)
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energy_by_priority.sort(key=lambda x: x[1], reverse=True)
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for energy_pos, priority, nearest_my_dist in energy_by_priority:
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if energy_pos not in energy_positions:
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continue
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# Find nearest unassigned bot
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nearest_bot = self._find_nearest_bot(
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core_pos, my_bots, used_bots, state
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energy_pos, my_bots, used_positions, state
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)
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if nearest_bot:
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bot_id = nearest_bot["id"]
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bot_pos = tuple(nearest_bot["position"])
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used_positions.add(bot_pos)
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self.contest_assignments[bot_pos] = energy_pos
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dist2 = self._distance2(bot_pos, core_pos, state)
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if dist2 > ADJACENT_RADIUS2:
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# Move toward core to guard
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move = self._move_toward(bot_pos, core_pos, state, enemy_positions)
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if move:
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moves.append({
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"position": list(bot_pos),
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"direction": move
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})
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used_bots.add(bot_id)
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self.guard_assignments.add(bot_id)
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guards_assigned += 1
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# Priority 4: Collect uncontested energy
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unthreatened_energy = [
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pos for pos, analysis in energy_analysis.items()
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if analysis["enemy_nearby"] == 0 and pos in energy_positions
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]
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for energy_pos in unthreatened_energy:
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# Find nearest unassigned bot
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nearest_bot = self._find_nearest_bot(
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energy_pos, my_bots, used_bots, state
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)
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if nearest_bot:
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bot_id = nearest_bot["id"]
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bot_pos = tuple(nearest_bot["position"])
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used_bots.add(bot_id)
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# Move toward energy to collect
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# Move toward energy to contest, but stay if already adjacent
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dist2 = self._distance2(bot_pos, energy_pos, state)
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if dist2 > ADJACENT_RADIUS2:
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move = self._move_toward(bot_pos, energy_pos, state, enemy_positions)
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move = self._move_toward(bot_pos, energy_pos, state, enemy_positions, avoid_enemies=False)
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if move:
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moves.append({
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"position": list(bot_pos),
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"direction": move
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})
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# If already adjacent, stay put to contest (no move added)
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# Remaining bots: explore toward map center
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# Priority 3: Remaining bots explore toward visible energy or map center
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center = (state.rows // 2, state.cols // 2)
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for bot in my_bots:
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if bot["id"] not in used_bots:
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bot_pos = tuple(bot["position"])
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move = self._move_toward(bot_pos, center, state, enemy_positions)
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bot_pos = tuple(bot["position"])
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if bot_pos not in used_positions:
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# Move toward center to find energy
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move = self._move_toward(bot_pos, center, state, enemy_positions, avoid_enemies=False)
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if move:
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moves.append({
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"position": list(bot_pos),
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@ -247,81 +212,29 @@ class EconomistStrategy:
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return moves
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def _analyze_energy_nodes(
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self,
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energy_nodes: List[Position],
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my_bot_positions: Dict[Position, dict],
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enemy_positions: Dict[Position, dict],
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state: GameState
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) -> Dict[Position, dict]:
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"""Analyze energy nodes to determine contest priorities."""
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analysis = {}
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for energy_pos in energy_nodes:
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enemy_nearby = 0
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enemy_approaching = 0
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my_adjacent = 0
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my_nearby = 0
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nearest_enemy_dist = float('inf')
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nearest_my_dist = float('inf')
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# Count nearby bots
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for bot_pos, bot in my_bot_positions.items():
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dist2 = self._distance2(bot_pos, energy_pos, state)
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if dist2 <= ADJACENT_RADIUS2:
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my_adjacent += 1
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if dist2 <= APPROACH_THRESHOLD * APPROACH_THRESHOLD:
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my_nearby += 1
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nearest_my_dist = min(nearest_my_dist, dist2)
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for enemy_pos, enemy in enemy_positions.items():
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dist2 = self._distance2(enemy_pos, energy_pos, state)
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if dist2 <= APPROACH_THRESHOLD * APPROACH_THRESHOLD:
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enemy_nearby += 1
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nearest_enemy_dist = min(nearest_enemy_dist, dist2)
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if dist2 <= APPROACH_THRESHOLD * APPROACH_THRESHOLD:
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enemy_approaching += 1
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# Calculate contest priority
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# Priority = (enemy_count_nearby * energy_value) / distance
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# Energy value is always 1 in current rules
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distance_factor = math.sqrt(max(nearest_enemy_dist, 1))
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contest_priority = (enemy_approaching * 1.0) / distance_factor
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analysis[energy_pos] = {
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"enemy_nearby": enemy_nearby,
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"enemy_approaching": enemy_approaching,
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"my_adjacent": my_adjacent,
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"my_nearby": my_nearby,
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"nearest_enemy_dist": nearest_enemy_dist,
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"contest_priority": contest_priority if enemy_approaching > 0 else 0,
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}
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return analysis
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def _cleanup_assignments(self, my_bots: List[dict], energy_positions: Set[Position]):
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"""Remove assignments for dead bots or consumed energy."""
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active_bot_ids = {b["id"] for b in my_bots}
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# Remove assignments for dead bots
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def _cleanup_assignments(self, current_bot_positions: Dict[Position, dict], energy_positions: Set[Position]):
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"""Remove assignments for bots that moved or died, or consumed energy."""
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# Remove assignments for bots no longer at their assigned position
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to_remove = []
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for bot_id in self.contest_assignments:
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if bot_id not in active_bot_ids:
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to_remove.append(bot_id)
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elif self.contest_assignments[bot_id] not in energy_positions:
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to_remove.append(bot_id)
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for bot_pos in self.contest_assignments:
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if bot_pos not in current_bot_positions:
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# Bot moved or died
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to_remove.append(bot_pos)
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elif self.contest_assignments[bot_pos] not in energy_positions:
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# Energy was collected
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to_remove.append(bot_pos)
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for bot_id in to_remove:
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del self.contest_assignments[bot_id]
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for bot_pos in to_remove:
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del self.contest_assignments[bot_pos]
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# Clean up guard assignments
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self.guard_assignments = self.guard_assignments.intersection(active_bot_ids)
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self.guard_assignments = self.guard_assignments.intersection(current_bot_positions.keys())
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def _find_nearest_bot(
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self,
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target: Position,
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my_bots: List[dict],
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used_bots: Set[int],
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used_positions: Set[Position],
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state: GameState
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) -> Optional[dict]:
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"""Find the nearest unused bot to the target position."""
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@ -329,10 +242,11 @@ class EconomistStrategy:
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nearest_dist = float('inf')
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for bot in my_bots:
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if bot["id"] in used_bots:
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bot_pos = tuple(bot["position"])
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if bot_pos in used_positions:
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continue
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dist2 = self._distance2(tuple(bot["position"]), target, state)
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dist2 = self._distance2(bot_pos, target, state)
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if dist2 < nearest_dist:
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nearest_dist = dist2
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nearest_bot = bot
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@ -344,9 +258,24 @@ class EconomistStrategy:
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from_pos: Position,
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to_pos: Position,
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state: GameState,
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enemy_positions: Dict[Position, dict]
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enemy_positions: Dict[Position, dict],
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avoid_enemies: bool = False,
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stay_if_adjacent: bool = False
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) -> Optional[str]:
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"""Calculate best direction to move toward target, avoiding enemies."""
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"""Calculate best direction to move toward target.
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Args:
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from_pos: Starting position
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to_pos: Target position
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state: Game state
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enemy_positions: Map of enemy bot positions
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avoid_enemies: If True, avoid positions adjacent to enemies.
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stay_if_adjacent: If True and already adjacent to target, return None (stay put).
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"""
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# If staying put is requested and we're already adjacent, don't move
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if stay_if_adjacent and self._distance2(from_pos, to_pos, state) <= ADJACENT_RADIUS2:
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return None
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directions = ["N", "E", "S", "W"]
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best_dir = None
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best_dist2 = float('inf')
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@ -354,8 +283,8 @@ class EconomistStrategy:
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for direction in directions:
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new_pos = self._simulate_move(from_pos, direction, state)
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# Avoid positions adjacent to enemies (combat avoidance)
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if self._is_near_enemy(new_pos, enemy_positions, state):
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# Optionally avoid positions adjacent to enemies
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if avoid_enemies and self._is_near_enemy(new_pos, enemy_positions, state):
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continue
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dist2 = self._distance2(new_pos, to_pos, state)
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@ -21,6 +21,7 @@
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# BOT_SECRET_OPPORTUNIST - Secret for OpportunistBot
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# BOT_SECRET_ASSASSIN - Secret for AssassinBot
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# BOT_SECRET_KAMIKAZE - Secret for KamikazeBot
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# BOT_SECRET_ECONOMIST - Secret for EconomistBot
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|
||||
services:
|
||||
random:
|
||||
|
|
@ -280,3 +281,19 @@ services:
|
|||
timeout: 5s
|
||||
retries: 3
|
||||
restart: unless-stopped
|
||||
|
||||
economist:
|
||||
build:
|
||||
context: ./bots/economist
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "8097:8081"
|
||||
environment:
|
||||
- BOT_PORT=8081
|
||||
- BOT_SECRET=${BOT_SECRET_ECONOMIST:-dev-secret-economist}
|
||||
healthcheck:
|
||||
test: ["CMD", "curl", "-f", "http://localhost:8081/health"]
|
||||
interval: 30s
|
||||
timeout: 5s
|
||||
retries: 3
|
||||
restart: unless-stopped
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue