From 3e604324adcde28f874c7ccfd9278c547b829b3c Mon Sep 17 00:00:00 2001 From: Pagwin Date: Tue, 9 Jun 2026 15:26:51 -0400 Subject: [PATCH] web server with docker container --- Dockerfile | 23 ++ docker-compose.yml | 13 + pyproject.toml | 1 + solve.py | 137 ++++---- templates/solver.html | 779 ++++++++++++++++++++++++++++++++++++++++++ uv.lock | 138 +++++++- web_solve.py | 162 +++++++++ 7 files changed, 1194 insertions(+), 59 deletions(-) create mode 100644 Dockerfile create mode 100644 docker-compose.yml create mode 100644 templates/solver.html diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..93a0504 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,23 @@ +FROM python:3.13-slim + +WORKDIR /app + +# Install uv +RUN pip install --no-cache-dir uv + +# Copy project files +COPY pyproject.toml uv.lock ./ + +# Install dependencies with uv +RUN uv sync --no-editable + +# Copy source code +COPY solve.py web_solve.py ./ +COPY templates/ templates/ + +# Set environment variables +ENV FLASK_APP=web_solve.py +ENV PYTHONUNBUFFERED=1 + +# Run Flask app +CMD ["uv", "run", "python", "web_solve.py"] diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..6bedd8d --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,13 @@ +version: '3.8' + +services: + web: + build: . + ports: + - "5000:5000" + environment: + - FLASK_ENV=development + - FLASK_DEBUG=1 + volumes: + - .:/app + command: uv run python web_solve.py diff --git a/pyproject.toml b/pyproject.toml index 08f8dde..9845fd6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,5 +5,6 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.13" dependencies = [ + "flask>=3.1.3", "ortools>=9.15.6755", ] diff --git a/solve.py b/solve.py index 68eabbd..ba5e760 100644 --- a/solve.py +++ b/solve.py @@ -63,7 +63,7 @@ FIXED_CHOICES = { # Arrival schedule. Key = step (1..5), value = list of city types that arrive # at the START of that step. Types: 'H' Hub, 'F' Foundry, 'M' Metropolis, 'N' Monument. -# Total cities across all steps must be <= 7. Arriving cities act that same step. +# Arriving cities act that same step. # Each entry may be either a string shorthand (e.g. "H") or a dict, e.g. # {"type": "F", "adjacent_to": [city_idx, ...], "vats": {"E": 1, "B": 1, "S": 1}, # "departure_step": NUM_STEPS + 1} @@ -930,14 +930,33 @@ class Foreman(Agent): class Industrialist(Agent): - """TODO: Network ability — grants Infrastructure to governed city and its - adjacent cities when appointed governor. Requires the city's adjacency list - (city_dict['adjacent_to']) to be populated and an Infrastructure mechanic - in the model. Neither is implemented yet. - """ + """Network ability — grants Infrastructure (hasA) to governed city and its + adjacent cities when appointed governor.""" def apply(self, model, i, t, ctx): - pass + m = model + g = ctx["governor"].get((i, t, self.name)) + if g is None: + return + + cities = ctx.get("cities") + hasA = ctx.get("hasA") + NUM_STEPS = ctx.get("NUM_STEPS", 5) + + if cities is None or hasA is None: + return + + a_step, a_city = cities[i] + adjacent_indices = a_city.get("adjacent_to", []) + + # When Industrialist governs city i at step t, grant hasA to city i and adjacent cities at t+1 + if t + 1 <= NUM_STEPS: + # Grant to governed city + m.Add(hasA[i, t + 1] == 1).OnlyEnforceIf(g) + + # Grant to adjacent cities + for adj_i in adjacent_indices: + m.Add(hasA[adj_i, t + 1] == 1).OnlyEnforceIf(g) class Fence(EventAgent): @@ -1230,6 +1249,8 @@ def solve( "vat_next": {}, "builder_fire": builder_fire_map, "baron_deposits": baron_deposits, + "cities": cities, + "NUM_STEPS": NUM_STEPS, } # Declare all action variables @@ -1545,57 +1566,57 @@ def solve( if verbose: print(f"(resource ceilings used: E<={capE} B<={capB} S<={capS})") - _report( - solver, - status, - cities, - N, - isH, - isF, - isM, - isMon, - col, - ua, - ub, - ud, - ow, - rH, - rF, - rM, - cvE, - cvB, - cvS, - owcvE, - owcvB, - owcvS, - mE, - mB, - mS, - mC, - owmE, - owmB, - owmS, - owmC, - hasA, - hasB, - hasD, - vE, - vB, - vS, - E, - B, - S, - C, - finalE, - finalB, - finalS, - action_registry, - governor, - agent_registry, - capital_spent, - fence_deposits, - baron_deposits, - ) + _report( + solver, + status, + cities, + N, + isH, + isF, + isM, + isMon, + col, + ua, + ub, + ud, + ow, + rH, + rF, + rM, + cvE, + cvB, + cvS, + owcvE, + owcvB, + owcvS, + mE, + mB, + mS, + mC, + owmE, + owmB, + owmS, + owmC, + hasA, + hasB, + hasD, + vE, + vB, + vS, + E, + B, + S, + C, + finalE, + finalB, + finalS, + action_registry, + governor, + agent_registry, + capital_spent, + fence_deposits, + baron_deposits, + ) return solver, status diff --git a/templates/solver.html b/templates/solver.html new file mode 100644 index 0000000..97f2447 --- /dev/null +++ b/templates/solver.html @@ -0,0 +1,779 @@ + + + + + + + City Resource Optimization Solver + + + + +
+

🏛️ City Resource Optimization

+

Solve for optimal resource distribution across cities

+ +
+ +
+

Initial Resources (Step 1 Start)

+
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+
+ + +
+

Cities

+
+ +
+ + +
+

Available Actions

+
+ {% for action_name in actions.keys() | sort %} +
+ + +
+ {% endfor %} +
+
+ + +
+

Agent Availability

+

+ Specify steps where each agent is available (comma-separated, e.g., "1,2,3,4,5") +

+
+ {% for agent_name in agents.keys() | sort %} +
+ + +
+ {% endfor %} +
+
+ + +
+

Solver Settings

+
+ + +
+
+ + +
+
+ + +
+

Fixed Actions (Optional)

+

+ Force specific actions for cities at specific steps +

+
+ +
+ + +
+

Fixed Governors (Optional)

+

+ Force specific agents to govern cities at specific steps +

+
+ +
+ + +
+ + +
+
+ + +
+
+

Solving... This may take a moment.

+
+ + +
+

Results

+
+
+
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"""Handle solver requests from the form.""" + try: + data = request.get_json() + + # Parse initial resources (divide by 10 since UI shows unscaled values) + initial = tuple( + int(float(data.get(f"initial_{r}", 3)) * 10) for r in ["E", "B", "S", "C"] + ) + + # Parse per-city arrivals and departures (dynamic number of cities) + arrivals = {} + for step in range(1, solve.NUM_STEPS + 1): + arrivals[step] = [] + + # Find all cities submitted (city_0_type, city_1_type, etc.) + city_indices = set() + for key in data.keys(): + if key.startswith("city_") and key.endswith("_type"): + city_idx = int(key.split("_")[1]) + city_indices.add(city_idx) + + for city_idx in sorted(city_indices): + city_type = data.get(f"city_{city_idx}_type") + arrival_step_str = data.get(f"city_{city_idx}_arrival_step") + departure_step_str = data.get(f"city_{city_idx}_departure_step") + adjacent_str = data.get(f"city_{city_idx}_adjacent", "") + + if city_type and city_type != "none" and arrival_step_str: + arrival_step = int(arrival_step_str) + departure_step = ( + int(departure_step_str) + if departure_step_str + else solve.NUM_STEPS + 1 + ) + + # Parse adjacent cities (comma-separated, whitespace ignored) + adjacent_to = [] + if adjacent_str: + adjacent_to = [ + int(idx.strip()) + for idx in adjacent_str.split(",") + if idx.strip() + ] + + city_data = { + "type": city_type, + "adjacent_to": adjacent_to, + "departure_step": departure_step, + } + + # Parse vat values for foundries (if specified, use them; otherwise let normalize_city default to 1) + if city_type == "F": + vat_e = data.get(f"city_{city_idx}_vat_E") + vat_b = data.get(f"city_{city_idx}_vat_B") + vat_s = data.get(f"city_{city_idx}_vat_S") + vats = {} + if vat_e: + vats["E"] = int(vat_e) + if vat_b: + vats["B"] = int(vat_b) + if vat_s: + vats["S"] = int(vat_s) + if vats: + city_data["vats"] = vats + + arrivals[arrival_step].append(city_data) + + # Parse enabled actions + enabled_actions = {} + for action_name in solve.ENABLED_ACTIONS.keys(): + enabled_actions[action_name] = data.get(f"action_{action_name}", False) + + # Parse agent availability + agent_availability = {} + for agent_name in solve.AGENT_AVAILABILITY.keys(): + steps_str = data.get(f"agent_{agent_name}_steps", "") + if steps_str: + agent_availability[agent_name] = [ + int(s) for s in steps_str.split(",") if s + ] + else: + agent_availability[agent_name] = [] + + # Parse time limit + time_limit = float(data.get("time_limit", 60.0)) + + # Parse verbose flag + verbose = data.get("verbose", True) + + # Parse fixed constraints + fixed_choices = None + fixed_actions_data = data.get("fixed_actions", {}) + fixed_governors_data = data.get("fixed_governors", {}) + + if fixed_actions_data or fixed_governors_data: + fixed_choices = {} + + if fixed_actions_data: + fixed_choices["actions"] = {} + for key, action in fixed_actions_data.items(): + city, step = map(int, key.split(",")) + fixed_choices["actions"][(city, step)] = action + + if fixed_governors_data: + fixed_choices["governors"] = {} + for key, enabled in fixed_governors_data.items(): + city, step, agent = key.rsplit(",", 2) + city, step = int(city), int(step) + fixed_choices["governors"][(city, step, agent)] = enabled + + # Capture solver output + output_buffer = io.StringIO() + with redirect_stdout(output_buffer): + solver, status = solve.solve( + initial=initial, + arrivals=arrivals, + max_res=solve.MAX_RES, + max_vat=solve.MAX_VAT, + time_limit=time_limit, + num_workers=8, + verbose=verbose, + fixed_choices=fixed_choices, + ) + + output = output_buffer.getvalue() + status_name = solver.StatusName(status) if status else "UNKNOWN" + + return jsonify({"success": True, "status": status_name, "output": output}) + + except Exception as e: + return jsonify({"success": False, "error": str(e)}), 400 + + +if __name__ == "__main__": + app.run(debug=False, host='0.0.0.0', port=5000)