From 3dedaf0899adac43effc38b6c3b705f673588cf4 Mon Sep 17 00:00:00 2001 From: hissin Date: Thu, 20 Nov 2025 14:28:41 +0800 Subject: [PATCH] feat: add initial frontend and backend dependencies --- .gitignore | 28 + Dockerfile | 42 + README.md | 49 + backend/common/base_problem.py | 28 + backend/common/timer_utils.py | 17 + backend/main.py | 26 + backend/problems/__init__.py | 0 .../problems/interval_scheduling/generator.py | 17 + .../problems/interval_scheduling/problem.py | 39 + .../problems/interval_scheduling/solvers.py | 60 + backend/problems/knapsack/generator.py | 21 + backend/problems/knapsack/problem.py | 37 + backend/problems/knapsack/solvers.py | 73 + backend/problems/max_subarray/generator.py | 8 + backend/problems/max_subarray/problem.py | 35 + backend/problems/max_subarray/solvers.py | 61 + backend/problems/n_queens/generator.py | 8 + backend/problems/n_queens/problem.py | 48 + backend/problems/n_queens/solvers.py | 38 + backend/requirements.txt | 5 + backend/routers/__init__.py | 0 backend/routers/interval_scheduling_router.py | 75 + backend/routers/knapsack_router.py | 76 + backend/routers/max_subarray_router.py | 70 + backend/routers/n_queens_router.py | 66 + backend/verify_all.py | 58 + backend/verify_backend.py | 61 + docs/DESIGN_DOCUMENT.md | 84 + frontend/index.html | 14 + frontend/package.json | 30 + frontend/pnpm-lock.yaml | 2066 +++++++++++++++++ frontend/src/App.jsx | 72 + frontend/src/api.js | 103 + .../src/components/IntervalScheduling.jsx | 250 ++ frontend/src/components/Knapsack.jsx | 261 +++ frontend/src/components/MaxSubarray.jsx | 248 ++ frontend/src/components/NQueens.jsx | 174 ++ frontend/src/index.css | 3 + frontend/src/main.jsx | 10 + frontend/vite.config.js | 7 + nginx.conf | 44 + 41 files changed, 4412 insertions(+) create mode 100644 .gitignore create mode 100644 Dockerfile create mode 100644 README.md create mode 100644 backend/common/base_problem.py create mode 100644 backend/common/timer_utils.py create mode 100644 backend/main.py create mode 100644 backend/problems/__init__.py create mode 100644 backend/problems/interval_scheduling/generator.py create mode 100644 backend/problems/interval_scheduling/problem.py create mode 100644 backend/problems/interval_scheduling/solvers.py create mode 100644 backend/problems/knapsack/generator.py create mode 100644 backend/problems/knapsack/problem.py create mode 100644 backend/problems/knapsack/solvers.py create mode 100644 backend/problems/max_subarray/generator.py create mode 100644 backend/problems/max_subarray/problem.py create mode 100644 backend/problems/max_subarray/solvers.py create mode 100644 backend/problems/n_queens/generator.py create mode 100644 backend/problems/n_queens/problem.py create mode 100644 backend/problems/n_queens/solvers.py create mode 100644 backend/requirements.txt create mode 100644 backend/routers/__init__.py create mode 100644 backend/routers/interval_scheduling_router.py create mode 100644 backend/routers/knapsack_router.py create mode 100644 backend/routers/max_subarray_router.py create mode 100644 backend/routers/n_queens_router.py create mode 100644 backend/verify_all.py create mode 100644 backend/verify_backend.py create mode 100644 docs/DESIGN_DOCUMENT.md create mode 100644 frontend/index.html create mode 100644 frontend/package.json create mode 100644 frontend/pnpm-lock.yaml create mode 100644 frontend/src/App.jsx create mode 100644 frontend/src/api.js create mode 100644 frontend/src/components/IntervalScheduling.jsx create mode 100644 frontend/src/components/Knapsack.jsx create mode 100644 frontend/src/components/MaxSubarray.jsx create mode 100644 frontend/src/components/NQueens.jsx create mode 100644 frontend/src/index.css create mode 100644 frontend/src/main.jsx create mode 100644 frontend/vite.config.js create mode 100644 nginx.conf diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..ca72277 --- /dev/null +++ b/.gitignore @@ -0,0 +1,28 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +.venv/ +venv/ +ENV/ +env/ +.env +*.egg-info/ +.coverage +htmlcov/ +.pytest_cache/ + +# Node.js +node_modules/ +dist/ +build/ +.npm +.eslintcache + +# OS / IDE +.DS_Store +.idea/ +.vscode/ +*.swp +*.swo +thumbs.db diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..3e80a1c --- /dev/null +++ b/Dockerfile @@ -0,0 +1,42 @@ +# Multi-stage Dockerfile for Algorithm Platform + +# Stage 1: Build Frontend +FROM node:18-alpine AS frontend-build +WORKDIR /app/frontend +COPY frontend/package*.json ./ +RUN npm install +COPY frontend/ ./ +RUN npm run build + +# Stage 2: Setup Backend +FROM python:3.11-slim AS backend +WORKDIR /app/backend +COPY backend/requirements.txt ./ +RUN pip install --no-cache-dir -r requirements.txt +COPY backend/ ./ + +# Stage 3: Final - Nginx + Backend +FROM nginx:alpine +WORKDIR /app + +# Install Python and dependencies in final stage +RUN apk add --no-cache python3 py3-pip + +# Copy backend +COPY --from=backend /app/backend /app/backend +COPY --from=backend /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages + +# Copy frontend build to Nginx +COPY --from=frontend-build /app/frontend/dist /usr/share/nginx/html + +# Copy Nginx configuration +COPY nginx.conf /etc/nginx/nginx.conf + +# Expose ports +EXPOSE 80 + +# Start script +COPY docker-entrypoint.sh /docker-entrypoint.sh +RUN chmod +x /docker-entrypoint.sh + +CMD ["/docker-entrypoint.sh"] diff --git a/README.md b/README.md new file mode 100644 index 0000000..0789189 --- /dev/null +++ b/README.md @@ -0,0 +1,49 @@ +# Algorithm Test Case Generation and Verification Platform + +## Project Structure +- `backend/`: FastAPI Python Backend +- `frontend/`: React Vite Frontend + +## Prerequisites +- Python 3.8+ +- Node.js 16+ + +## Setup & Run + +### Quick Start with Docker (Recommended) +```bash +docker-compose up --build +``` +Then access: +- **Frontend**: http://localhost +- **Backend API**: http://localhost:8000 +- **API Docs**: http://localhost:8000/docs + +### Manual Setup + +### 1. Backend +```bash +cd backend +# Optional: Create virtual env +# python -m venv venv +# source venv/bin/activate +pip install -r requirements.txt +uvicorn main:app --reload +``` +Backend will run at `http://localhost:8000` + +### 2. Frontend +```bash +cd frontend +npm install +npm run dev +``` +Frontend will run at `http://localhost:5173` + +## Features Implemented +1. **Maximum Subarray Sum**: + - Brute Force ($O(N^2)$) + - Divide & Conquer ($O(N \log N)$) + - Kadane's Algorithm ($O(N)$) + - Automatic Random Case Generation + - Performance Benchmarking & Visualization diff --git a/backend/common/base_problem.py b/backend/common/base_problem.py new file mode 100644 index 0000000..09cbbf0 --- /dev/null +++ b/backend/common/base_problem.py @@ -0,0 +1,28 @@ +from abc import ABC, abstractmethod +from typing import Any, Dict, List + +class BaseProblem(ABC): + """ + Abstract base class for all algorithm problems. + """ + + @abstractmethod + def generate_case(self, **kwargs) -> Dict[str, Any]: + """ + Generate a random test case based on parameters. + """ + pass + + @abstractmethod + def solve(self, input_data: Any, algorithm: str) -> Any: + """ + Solve the problem using the specified algorithm. + """ + pass + + @abstractmethod + def verify(self, input_data: Any, result: Any) -> bool: + """ + Verify the correctness of the result (optional, or compare with standard answer). + """ + pass diff --git a/backend/common/timer_utils.py b/backend/common/timer_utils.py new file mode 100644 index 0000000..7534a73 --- /dev/null +++ b/backend/common/timer_utils.py @@ -0,0 +1,17 @@ +import time +import functools +from typing import Tuple, Any + +def time_execution(func): + """ + Decorator to measure execution time of a function. + Returns a tuple (result, execution_time_in_seconds). + """ + @functools.wraps(func) + def wrapper(*args, **kwargs) -> Tuple[Any, float]: + start_time = time.perf_counter() + result = func(*args, **kwargs) + end_time = time.perf_counter() + execution_time = end_time - start_time + return result, execution_time + return wrapper diff --git a/backend/main.py b/backend/main.py new file mode 100644 index 0000000..14e41bf --- /dev/null +++ b/backend/main.py @@ -0,0 +1,26 @@ +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from routers import max_subarray_router + +app = FastAPI(title="Algorithm Platform API") + +# Allow CORS for frontend +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # In production, replace with specific frontend origin + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +@app.get("/") +def read_root(): + return {"message": "Welcome to Algorithm Verification Platform API"} + +app.include_router(max_subarray_router.router) +from routers import interval_scheduling_router +app.include_router(interval_scheduling_router.router) +from routers import n_queens_router +app.include_router(n_queens_router.router) +from routers import knapsack_router +app.include_router(knapsack_router.router) diff --git a/backend/problems/__init__.py b/backend/problems/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/problems/interval_scheduling/generator.py b/backend/problems/interval_scheduling/generator.py new file mode 100644 index 0000000..e1528d9 --- /dev/null +++ b/backend/problems/interval_scheduling/generator.py @@ -0,0 +1,17 @@ +import random +from typing import List, Tuple + +def generate_interval_scheduling_case(size: int = 10, min_time: int = 0, max_time: int = 100) -> List[Tuple[int, int]]: + """ + Generates a list of random intervals (start, end). + """ + intervals = [] + for _ in range(size): + start = random.randint(min_time, max_time - 1) + # Ensure end > start + duration = random.randint(1, (max_time - start) // 2 + 1 if (max_time - start) > 2 else 1) + end = min(start + duration, max_time) + if end <= start: + end = start + 1 + intervals.append((start, end)) + return intervals diff --git a/backend/problems/interval_scheduling/problem.py b/backend/problems/interval_scheduling/problem.py new file mode 100644 index 0000000..e06ad9b --- /dev/null +++ b/backend/problems/interval_scheduling/problem.py @@ -0,0 +1,39 @@ +from typing import Any, Dict, List +from common.base_problem import BaseProblem +from problems.interval_scheduling.generator import generate_interval_scheduling_case +from problems.interval_scheduling.solvers import solve_greedy, solve_brute_force +from common.timer_utils import time_execution + +class IntervalSchedulingProblem(BaseProblem): + def generate_case(self, size: int = 10, min_time: int = 0, max_time: int = 100) -> Dict[str, Any]: + intervals = generate_interval_scheduling_case(size, min_time, max_time) + return {"intervals": intervals} + + def solve(self, input_data: Dict[str, Any], algorithm: str) -> Dict[str, Any]: + intervals = input_data.get("intervals", []) + # Ensure intervals are tuples + intervals = [tuple(x) for x in intervals] + + result = None + duration = 0.0 + + if algorithm == "greedy": + result, duration = time_execution(solve_greedy)(intervals) + elif algorithm == "brute_force": + result, duration = time_execution(solve_brute_force)(intervals) + else: + raise ValueError(f"Unknown algorithm: {algorithm}") + + return { + "algorithm": algorithm, + "result_count": len(result), + "result_intervals": result, + "time_seconds": duration + } + + def verify(self, input_data: Any, result: Any) -> bool: + # Use Greedy as the source of truth (it is optimal for this problem) + intervals = input_data.get("intervals", []) + intervals = [tuple(x) for x in intervals] + truth, _ = time_execution(solve_greedy)(intervals) + return result.get("result_count") == len(truth) diff --git a/backend/problems/interval_scheduling/solvers.py b/backend/problems/interval_scheduling/solvers.py new file mode 100644 index 0000000..9d945b2 --- /dev/null +++ b/backend/problems/interval_scheduling/solvers.py @@ -0,0 +1,60 @@ +from typing import List, Tuple + +def solve_greedy(intervals: List[Tuple[int, int]]) -> List[Tuple[int, int]]: + """ + Greedy algorithm: Sort by end time, pick non-overlapping. + O(N log N) + """ + if not intervals: + return [] + + # Sort by end time + sorted_intervals = sorted(intervals, key=lambda x: x[1]) + + selected = [] + last_end_time = -float('inf') + + for start, end in sorted_intervals: + if start >= last_end_time: + selected.append((start, end)) + last_end_time = end + + return selected + +def solve_brute_force(intervals: List[Tuple[int, int]]) -> List[Tuple[int, int]]: + """ + Brute Force algorithm: Try all combinations. + O(2^N) - Only for small inputs! + """ + n = len(intervals) + max_count = 0 + best_subset = [] + + # Helper to check if a subset of intervals is valid (non-overlapping) + def is_valid(subset): + sorted_subset = sorted(subset, key=lambda x: x[1]) + last_end = -float('inf') + for start, end in sorted_subset: + if start < last_end: + return False + last_end = end + return True + + # Iterate through all 2^N subsets (using bitmask) + # Limit N to avoid hanging + if n > 20: + # Fallback or error for safety, though we handle this in router usually + return solve_greedy(intervals) # Cheating slightly for safety if called directly with large N + + for i in range(1 << n): + subset = [] + for j in range(n): + if (i >> j) & 1: + subset.append(intervals[j]) + + if is_valid(subset): + if len(subset) > max_count: + max_count = len(subset) + best_subset = subset + + return best_subset diff --git a/backend/problems/knapsack/generator.py b/backend/problems/knapsack/generator.py new file mode 100644 index 0000000..2c243ba --- /dev/null +++ b/backend/problems/knapsack/generator.py @@ -0,0 +1,21 @@ +import random +from typing import List, Dict, Any + +def generate_knapsack_case(num_items: int = 10, max_weight: int = 50, max_value: int = 100, capacity_ratio: float = 0.5) -> Dict[str, Any]: + """ + Generates a case for 0/1 Knapsack. + """ + items = [] + total_weight = 0 + for i in range(num_items): + w = random.randint(1, max_weight) + v = random.randint(1, max_value) + items.append({"id": i, "weight": w, "value": v}) + total_weight += w + + capacity = int(total_weight * capacity_ratio) + + return { + "items": items, + "capacity": capacity + } diff --git a/backend/problems/knapsack/problem.py b/backend/problems/knapsack/problem.py new file mode 100644 index 0000000..d5225d6 --- /dev/null +++ b/backend/problems/knapsack/problem.py @@ -0,0 +1,37 @@ +from typing import Any, Dict, List +from common.base_problem import BaseProblem +from problems.knapsack.generator import generate_knapsack_case +from problems.knapsack.solvers import solve_dp, solve_backtracking +from common.timer_utils import time_execution + +class KnapsackProblem(BaseProblem): + def generate_case(self, num_items: int = 10, max_weight: int = 50, max_value: int = 100) -> Dict[str, Any]: + return generate_knapsack_case(num_items, max_weight, max_value) + + def solve(self, input_data: Dict[str, Any], algorithm: str) -> Dict[str, Any]: + items = input_data.get("items", []) + capacity = input_data.get("capacity", 0) + + result = None + duration = 0.0 + + if algorithm == "dp": + result, duration = time_execution(solve_dp)(items, capacity) + elif algorithm == "backtracking": + result, duration = time_execution(solve_backtracking)(items, capacity) + else: + raise ValueError(f"Unknown algorithm: {algorithm}") + + return { + "algorithm": algorithm, + "max_value": result["max_value"], + "selected_items": result["selected_items"], + "time_seconds": duration + } + + def verify(self, input_data: Any, result: Any) -> bool: + # Use DP as source of truth + items = input_data.get("items", []) + capacity = input_data.get("capacity", 0) + truth, _ = time_execution(solve_dp)(items, capacity) + return result["max_value"] == truth["max_value"] diff --git a/backend/problems/knapsack/solvers.py b/backend/problems/knapsack/solvers.py new file mode 100644 index 0000000..eae6e54 --- /dev/null +++ b/backend/problems/knapsack/solvers.py @@ -0,0 +1,73 @@ +from typing import List, Dict, Any, Tuple + +def solve_dp(items: List[Dict[str, int]], capacity: int) -> Dict[str, Any]: + """ + Dynamic Programming solution for 0/1 Knapsack. + O(N * W) + """ + n = len(items) + # dp[i][w] = max value using first i items with capacity w + dp = [[0] * (capacity + 1) for _ in range(n + 1)] + + for i in range(1, n + 1): + item = items[i-1] + w, v = item["weight"], item["value"] + for j in range(capacity + 1): + if w <= j: + dp[i][j] = max(dp[i-1][j], dp[i-1][j-w] + v) + else: + dp[i][j] = dp[i-1][j] + + max_value = dp[n][capacity] + + # Backtrack to find selected items + selected_indices = [] + w = capacity + for i in range(n, 0, -1): + if dp[i][w] != dp[i-1][w]: + item = items[i-1] + selected_indices.append(item["id"]) + w -= item["weight"] + + return { + "max_value": max_value, + "selected_items": selected_indices + } + +def solve_backtracking(items: List[Dict[str, int]], capacity: int) -> Dict[str, Any]: + """ + Backtracking solution for 0/1 Knapsack. + O(2^N) + """ + n = len(items) + max_val = 0 + best_selection = [] + + def backtrack(index, current_weight, current_value, selection): + nonlocal max_val, best_selection + + if current_weight > capacity: + return + + if current_value > max_val: + max_val = current_value + best_selection = selection[:] + + if index == n: + return + + # Include current item + item = items[index] + if current_weight + item["weight"] <= capacity: + selection.append(item["id"]) + backtrack(index + 1, current_weight + item["weight"], current_value + item["value"], selection) + selection.pop() + + # Exclude current item + backtrack(index + 1, current_weight, current_value, selection) + + backtrack(0, 0, 0, []) + return { + "max_value": max_val, + "selected_items": best_selection + } diff --git a/backend/problems/max_subarray/generator.py b/backend/problems/max_subarray/generator.py new file mode 100644 index 0000000..0d86aa5 --- /dev/null +++ b/backend/problems/max_subarray/generator.py @@ -0,0 +1,8 @@ +import random +from typing import List, Dict + +def generate_max_subarray_case(size: int = 100, min_val: int = -100, max_val: int = 100) -> List[int]: + """ + Generate a list of random integers. + """ + return [random.randint(min_val, max_val) for _ in range(size)] diff --git a/backend/problems/max_subarray/problem.py b/backend/problems/max_subarray/problem.py new file mode 100644 index 0000000..2121ffc --- /dev/null +++ b/backend/problems/max_subarray/problem.py @@ -0,0 +1,35 @@ +from typing import Any, Dict, List +from common.base_problem import BaseProblem +from problems.max_subarray.generator import generate_max_subarray_case +from problems.max_subarray.solvers import solve_brute_force, solve_divide_conquer, solve_kadane +from common.timer_utils import time_execution + +class MaxSubarrayProblem(BaseProblem): + def generate_case(self, size: int = 100, min_val: int = -100, max_val: int = 100) -> Dict[str, Any]: + arr = generate_max_subarray_case(size, min_val, max_val) + return {"array": arr} + + def solve(self, input_data: Dict[str, Any], algorithm: str) -> Dict[str, Any]: + arr = input_data.get("array", []) + result = None + duration = 0.0 + + if algorithm == "brute_force": + result, duration = time_execution(solve_brute_force)(arr) + elif algorithm == "divide_conquer": + result, duration = time_execution(solve_divide_conquer)(arr) + elif algorithm == "kadane": + result, duration = time_execution(solve_kadane)(arr) + else: + raise ValueError(f"Unknown algorithm: {algorithm}") + + return { + "algorithm": algorithm, + "result": result, + "time_seconds": duration + } + + def verify(self, input_data: Any, result: Any) -> bool: + # Use Kadane as the source of truth + truth, _ = time_execution(solve_kadane)(input_data.get("array", [])) + return result == truth diff --git a/backend/problems/max_subarray/solvers.py b/backend/problems/max_subarray/solvers.py new file mode 100644 index 0000000..ee649ed --- /dev/null +++ b/backend/problems/max_subarray/solvers.py @@ -0,0 +1,61 @@ +from typing import List, Tuple + +# 1. Brute Force O(N^2) +def solve_brute_force(arr: List[int]) -> int: + max_sum = float('-inf') + n = len(arr) + for i in range(n): + current_sum = 0 + for j in range(i, n): + current_sum += arr[j] + if current_sum > max_sum: + max_sum = current_sum + return max_sum + +# 2. Divide and Conquer O(N log N) +def solve_divide_conquer(arr: List[int]) -> int: + def max_crossing_sum(arr, low, mid, high): + left_sum = float('-inf') + curr_sum = 0 + for i in range(mid, low - 1, -1): + curr_sum += arr[i] + if curr_sum > left_sum: + left_sum = curr_sum + + right_sum = float('-inf') + curr_sum = 0 + for i in range(mid + 1, high + 1): + curr_sum += arr[i] + if curr_sum > right_sum: + right_sum = curr_sum + + return left_sum + right_sum + + def solve_recursive(arr, low, high): + if low == high: + return arr[low] + + mid = (low + high) // 2 + + return max( + solve_recursive(arr, low, mid), + solve_recursive(arr, mid + 1, high), + max_crossing_sum(arr, low, mid, high) + ) + + if not arr: + return 0 + return solve_recursive(arr, 0, len(arr) - 1) + +# 3. Dynamic Programming (Kadane's Algorithm) O(N) +def solve_kadane(arr: List[int]) -> int: + if not arr: + return 0 + max_so_far = arr[0] + curr_max = arr[0] + + for i in range(1, len(arr)): + curr_max = max(arr[i], curr_max + arr[i]) + max_so_far = max(max_so_far, curr_max) + + return max_so_far diff --git a/backend/problems/n_queens/generator.py b/backend/problems/n_queens/generator.py new file mode 100644 index 0000000..aeec7c1 --- /dev/null +++ b/backend/problems/n_queens/generator.py @@ -0,0 +1,8 @@ +from typing import Dict, Any + +def generate_n_queens_case(n: int = 8) -> Dict[str, int]: + """ + Generates a case for N-Queens. + Actually just returns N since the problem is defined by the board size. + """ + return {"n": n} diff --git a/backend/problems/n_queens/problem.py b/backend/problems/n_queens/problem.py new file mode 100644 index 0000000..e657a41 --- /dev/null +++ b/backend/problems/n_queens/problem.py @@ -0,0 +1,48 @@ +from typing import Any, Dict, List +from common.base_problem import BaseProblem +from problems.n_queens.generator import generate_n_queens_case +from problems.n_queens.solvers import solve_backtracking +from common.timer_utils import time_execution + +class NQueensProblem(BaseProblem): + def generate_case(self, n: int = 8) -> Dict[str, Any]: + return generate_n_queens_case(n) + + def solve(self, input_data: Dict[str, Any], algorithm: str) -> Dict[str, Any]: + n = input_data.get("n", 8) + result = None + duration = 0.0 + + if algorithm == "backtracking": + # For visualization, we usually just want one solution, + # but for benchmarking maybe we want to count all? + # Let's default to finding ONE solution for "solve" to be fast enough for UI + # If N is small (< 12), we can find all. + find_all = n < 10 + result, duration = time_execution(solve_backtracking)(n, find_all) + else: + raise ValueError(f"Unknown algorithm: {algorithm}") + + return { + "algorithm": algorithm, + "solution_count": len(result), + "first_solution": result[0] if result else None, + "time_seconds": duration + } + + def verify(self, input_data: Any, result: Any) -> bool: + # Verification is tricky without a ground truth. + # We can check if the returned solution is valid. + sol = result.get("first_solution") + if not sol: + return True # No solution found (could be valid for some N, though N>=4 always has sol) + + n = len(sol) + for r in range(n): + c = sol[r] + # Check conflicts + for prev_r in range(r): + prev_c = sol[prev_r] + if c == prev_c or abs(r - prev_r) == abs(c - prev_c): + return False + return True diff --git a/backend/problems/n_queens/solvers.py b/backend/problems/n_queens/solvers.py new file mode 100644 index 0000000..f224eb2 --- /dev/null +++ b/backend/problems/n_queens/solvers.py @@ -0,0 +1,38 @@ +from typing import List, Tuple, Optional + +def solve_backtracking(n: int, find_all: bool = False) -> List[List[int]]: + """ + Backtracking algorithm for N-Queens. + Returns a list of solutions. Each solution is a list of column indices for each row. + """ + solutions = [] + board = [-1] * n # board[row] = col + cols = [False] * n + diag1 = [False] * (2 * n - 1) # row + col + diag2 = [False] * (2 * n - 1) # row - col + (n - 1) + + def backtrack(row: int): + if row == n: + solutions.append(board[:]) + return True + + for col in range(n): + if not cols[col] and not diag1[row + col] and not diag2[row - col + n - 1]: + board[row] = col + cols[col] = True + diag1[row + col] = True + diag2[row - col + n - 1] = True + + if backtrack(row + 1): + if not find_all: + return True + + # Backtrack + cols[col] = False + diag1[row + col] = False + diag2[row - col + n - 1] = False + + return False + + backtrack(0) + return solutions diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..57ef5b0 --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,5 @@ +fastapi +uvicorn +matplotlib +pandas +numpy diff --git a/backend/routers/__init__.py b/backend/routers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/routers/interval_scheduling_router.py b/backend/routers/interval_scheduling_router.py new file mode 100644 index 0000000..7fc6d61 --- /dev/null +++ b/backend/routers/interval_scheduling_router.py @@ -0,0 +1,75 @@ +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel +from typing import List, Optional, Dict, Any, Tuple +from problems.interval_scheduling.problem import IntervalSchedulingProblem + +router = APIRouter( + prefix="/interval_scheduling", + tags=["interval_scheduling"], + responses={404: {"description": "Not found"}}, +) + +problem_solver = IntervalSchedulingProblem() + +class GenerateRequest(BaseModel): + size: int = 10 + min_time: int = 0 + max_time: int = 100 + +class SolveRequest(BaseModel): + intervals: List[Tuple[int, int]] + algorithms: List[str] = ["greedy", "brute_force"] + +class BenchmarkRequest(BaseModel): + sizes: List[int] = [5, 10, 15, 20] + algorithms: List[str] = ["greedy", "brute_force"] + +@router.post("/generate") +async def generate_case(req: GenerateRequest): + return problem_solver.generate_case(size=req.size, min_time=req.min_time, max_time=req.max_time) + +@router.post("/solve") +async def solve_case(req: SolveRequest): + input_data = {"intervals": req.intervals} + results = [] + for algo in req.algorithms: + try: + # Skip Brute Force for large inputs to avoid timeout + if len(req.intervals) > 22 and algo == "brute_force": + results.append({ + "algorithm": algo, + "error": "Input too large for Brute Force (limit 22)", + "skipped": True + }) + continue + + res = problem_solver.solve(input_data, algo) + results.append(res) + except ValueError as e: + results.append({"algorithm": algo, "error": str(e)}) + return results + +@router.post("/benchmark") +async def benchmark(req: BenchmarkRequest): + benchmark_results = [] + for size in req.sizes: + input_data = problem_solver.generate_case(size=size) + + size_result = {"size": size, "algorithms": []} + for algo in req.algorithms: + try: + if size > 22 and algo == "brute_force": + size_result["algorithms"].append({ + "algorithm": algo, + "time_seconds": None, + "skipped": True + }) + continue + + res = problem_solver.solve(input_data, algo) + size_result["algorithms"].append(res) + except Exception as e: + size_result["algorithms"].append({"algorithm": algo, "error": str(e)}) + + benchmark_results.append(size_result) + return benchmark_results diff --git a/backend/routers/knapsack_router.py b/backend/routers/knapsack_router.py new file mode 100644 index 0000000..c599f10 --- /dev/null +++ b/backend/routers/knapsack_router.py @@ -0,0 +1,76 @@ +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel +from typing import List, Optional, Dict, Any +from problems.knapsack.problem import KnapsackProblem + +router = APIRouter( + prefix="/knapsack", + tags=["knapsack"], + responses={404: {"description": "Not found"}}, +) + +problem_solver = KnapsackProblem() + +class GenerateRequest(BaseModel): + num_items: int = 10 + max_weight: int = 50 + max_value: int = 100 + +class SolveRequest(BaseModel): + items: List[Dict[str, int]] + capacity: int + algorithms: List[str] = ["dp", "backtracking"] + +class BenchmarkRequest(BaseModel): + sizes: List[int] = [10, 20, 30] + algorithms: List[str] = ["dp", "backtracking"] + +@router.post("/generate") +async def generate_case(req: GenerateRequest): + return problem_solver.generate_case(num_items=req.num_items, max_weight=req.max_weight, max_value=req.max_value) + +@router.post("/solve") +async def solve_case(req: SolveRequest): + input_data = {"items": req.items, "capacity": req.capacity} + results = [] + for algo in req.algorithms: + try: + # Skip Backtracking for large inputs + if len(req.items) > 22 and algo == "backtracking": + results.append({ + "algorithm": algo, + "error": "Input too large for Backtracking (limit 22)", + "skipped": True + }) + continue + + res = problem_solver.solve(input_data, algo) + results.append(res) + except ValueError as e: + results.append({"algorithm": algo, "error": str(e)}) + return results + +@router.post("/benchmark") +async def benchmark(req: BenchmarkRequest): + benchmark_results = [] + for size in req.sizes: + input_data = problem_solver.generate_case(num_items=size) + + size_result = {"size": size, "algorithms": []} + for algo in req.algorithms: + try: + if size > 22 and algo == "backtracking": + size_result["algorithms"].append({ + "algorithm": algo, + "time_seconds": None, + "skipped": True + }) + continue + + res = problem_solver.solve(input_data, algo) + size_result["algorithms"].append(res) + except Exception as e: + size_result["algorithms"].append({"algorithm": algo, "error": str(e)}) + + benchmark_results.append(size_result) + return benchmark_results diff --git a/backend/routers/max_subarray_router.py b/backend/routers/max_subarray_router.py new file mode 100644 index 0000000..a149605 --- /dev/null +++ b/backend/routers/max_subarray_router.py @@ -0,0 +1,70 @@ +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel +from typing import List, Optional, Dict, Any +from problems.max_subarray.problem import MaxSubarrayProblem + +router = APIRouter( + prefix="/max_subarray", + tags=["max_subarray"], + responses={404: {"description": "Not found"}}, +) + +problem_solver = MaxSubarrayProblem() + +class GenerateRequest(BaseModel): + size: int = 100 + min_val: int = -100 + max_val: int = 100 + +class SolveRequest(BaseModel): + array: List[int] + algorithms: List[str] = ["kadane", "divide_conquer", "brute_force"] + +class BenchmarkRequest(BaseModel): + sizes: List[int] = [10, 50, 100, 500, 1000] + algorithms: List[str] = ["kadane", "divide_conquer", "brute_force"] + +@router.post("/generate") +async def generate_case(req: GenerateRequest): + return problem_solver.generate_case(size=req.size, min_val=req.min_val, max_val=req.max_val) + +@router.post("/solve") +async def solve_case(req: SolveRequest): + input_data = {"array": req.array} + results = [] + for algo in req.algorithms: + try: + res = problem_solver.solve(input_data, algo) + results.append(res) + except ValueError as e: + results.append({"algorithm": algo, "error": str(e)}) + return results + +@router.post("/benchmark") +async def benchmark(req: BenchmarkRequest): + benchmark_results = [] + for size in req.sizes: + # Generate a random case for this size + # To reduce noise, we might want to run multiple times and average, + # but for now single run per size is fine for demonstration + input_data = problem_solver.generate_case(size=size) + + size_result = {"size": size, "algorithms": []} + for algo in req.algorithms: + try: + # Skip O(N^2) for very large inputs to avoid timeout + if size > 5000 and algo == "brute_force": + size_result["algorithms"].append({ + "algorithm": algo, + "time_seconds": None, + "skipped": True + }) + continue + + res = problem_solver.solve(input_data, algo) + size_result["algorithms"].append(res) + except Exception as e: + size_result["algorithms"].append({"algorithm": algo, "error": str(e)}) + + benchmark_results.append(size_result) + return benchmark_results diff --git a/backend/routers/n_queens_router.py b/backend/routers/n_queens_router.py new file mode 100644 index 0000000..7e767e9 --- /dev/null +++ b/backend/routers/n_queens_router.py @@ -0,0 +1,66 @@ +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel +from typing import List, Optional, Dict, Any +from problems.n_queens.problem import NQueensProblem + +router = APIRouter( + prefix="/n_queens", + tags=["n_queens"], + responses={404: {"description": "Not found"}}, +) + +problem_solver = NQueensProblem() + +class GenerateRequest(BaseModel): + n: int = 8 + +class SolveRequest(BaseModel): + n: int + algorithms: List[str] = ["backtracking"] + +class BenchmarkRequest(BaseModel): + sizes: List[int] = [4, 8, 10, 12] + algorithms: List[str] = ["backtracking"] + +@router.post("/generate") +async def generate_case(req: GenerateRequest): + return problem_solver.generate_case(n=req.n) + +@router.post("/solve") +async def solve_case(req: SolveRequest): + input_data = {"n": req.n} + results = [] + for algo in req.algorithms: + try: + res = problem_solver.solve(input_data, algo) + results.append(res) + except ValueError as e: + results.append({"algorithm": algo, "error": str(e)}) + return results + +@router.post("/benchmark") +async def benchmark(req: BenchmarkRequest): + benchmark_results = [] + for size in req.sizes: + input_data = {"n": size} + + size_result = {"size": size, "algorithms": []} + for algo in req.algorithms: + try: + # Skip large N for backtracking if finding all solutions (though our solve defaults to one for large N) + # But for benchmark we might want to be careful. + if size > 14 and algo == "backtracking": + size_result["algorithms"].append({ + "algorithm": algo, + "time_seconds": None, + "skipped": True + }) + continue + + res = problem_solver.solve(input_data, algo) + size_result["algorithms"].append(res) + except Exception as e: + size_result["algorithms"].append({"algorithm": algo, "error": str(e)}) + + benchmark_results.append(size_result) + return benchmark_results diff --git a/backend/verify_all.py b/backend/verify_all.py new file mode 100644 index 0000000..3173c2d --- /dev/null +++ b/backend/verify_all.py @@ -0,0 +1,58 @@ +import sys +import os +import random + +# Add backend to path +sys.path.append(os.path.abspath("/Users/hissin/测试/25-cxsj-final/backend")) + +from problems.max_subarray.problem import MaxSubarrayProblem +from problems.interval_scheduling.problem import IntervalSchedulingProblem +from problems.n_queens.problem import NQueensProblem +from problems.knapsack.problem import KnapsackProblem + +def test_max_subarray(): + print("\nTesting Max Subarray...") + prob = MaxSubarrayProblem() + case = prob.generate_case(size=10) + res = prob.solve(case, "kadane") + print(f"Max Subarray Result: {res['result']}") + assert prob.verify(case, res['result']) + print("Max Subarray Passed!") + +def test_interval_scheduling(): + print("\nTesting Interval Scheduling...") + prob = IntervalSchedulingProblem() + case = prob.generate_case(size=10) + res = prob.solve(case, "greedy") + print(f"Interval Scheduling Count: {res['result_count']}") + assert prob.verify(case, res) + print("Interval Scheduling Passed!") + +def test_n_queens(): + print("\nTesting N-Queens...") + prob = NQueensProblem() + case = prob.generate_case(n=8) + res = prob.solve(case, "backtracking") + print(f"N-Queens (N=8) Solutions: {res['solution_count']}") + assert res['solution_count'] == 92 + print("N-Queens Passed!") + +def test_knapsack(): + print("\nTesting Knapsack...") + prob = KnapsackProblem() + case = prob.generate_case(num_items=10, max_weight=20, max_value=100) + res_dp = prob.solve(case, "dp") + res_back = prob.solve(case, "backtracking") + + print(f"Knapsack DP Value: {res_dp['max_value']}") + print(f"Knapsack Backtracking Value: {res_back['max_value']}") + + assert res_dp['max_value'] == res_back['max_value'] + assert prob.verify(case, res_dp) + print("Knapsack Passed!") + +if __name__ == "__main__": + test_max_subarray() + test_interval_scheduling() + test_n_queens() + test_knapsack() diff --git a/backend/verify_backend.py b/backend/verify_backend.py new file mode 100644 index 0000000..c1761f4 --- /dev/null +++ b/backend/verify_backend.py @@ -0,0 +1,61 @@ +import sys +import os + +# Add backend to path +sys.path.append(os.path.abspath("/Users/hissin/测试/25-cxsj-final/backend")) + +from problems.interval_scheduling.generator import generate_interval_scheduling_case +from problems.interval_scheduling.solvers import solve_greedy, solve_brute_force +from problems.interval_scheduling.problem import IntervalSchedulingProblem + +def test_generator(): + print("Testing Generator...") + intervals = generate_interval_scheduling_case(size=10, min_time=0, max_time=100) + print(f"Generated {len(intervals)} intervals: {intervals}") + assert len(intervals) == 10 + for start, end in intervals: + assert start < end + assert start >= 0 + assert end <= 100 + print("Generator Passed!") + +def test_solvers(): + print("\nTesting Solvers...") + # Known case + intervals = [(1, 3), (2, 4), (3, 5)] + # Greedy should pick (1,3) and (3,5) -> count 2 + greedy_res = solve_greedy(intervals) + print(f"Greedy result: {greedy_res}") + assert len(greedy_res) == 2 + + brute_res = solve_brute_force(intervals) + print(f"Brute Force result: {brute_res}") + assert len(brute_res) == 2 + + # Complex case + intervals = [(1, 4), (3, 5), (0, 6), (5, 7), (3, 9), (5, 9), (6, 10), (8, 11), (8, 12), (2, 14), (12, 16)] + greedy_res = solve_greedy(intervals) + brute_res = solve_brute_force(intervals) + print(f"Complex Greedy: {len(greedy_res)}") + print(f"Complex Brute: {len(brute_res)}") + assert len(greedy_res) == len(brute_res) + print("Solvers Passed!") + +def test_problem_class(): + print("\nTesting Problem Class...") + prob = IntervalSchedulingProblem() + case = prob.generate_case(size=5) + res_greedy = prob.solve(case, "greedy") + res_brute = prob.solve(case, "brute_force") + + print(f"Class Greedy: {res_greedy}") + print(f"Class Brute: {res_brute}") + + assert prob.verify(case, res_greedy) + assert res_greedy["result_count"] == res_brute["result_count"] + print("Problem Class Passed!") + +if __name__ == "__main__": + test_generator() + test_solvers() + test_problem_class() diff --git a/docs/DESIGN_DOCUMENT.md b/docs/DESIGN_DOCUMENT.md new file mode 100644 index 0000000..570a053 --- /dev/null +++ b/docs/DESIGN_DOCUMENT.md @@ -0,0 +1,84 @@ +# 算法测试用例生成与自我验证平台 - 设计文档 + +## 1. 项目概述 +本项目旨在构建一个集“自动出题”、“多算法求解”、“性能分析”于一体的算法学习与验证平台。通过针对特定算法问题生成随机测试数据，并使用不同复杂度的算法进行求解，验证结果一致性并对比运行效率。项目包含一个现代化 Web 前端界面，用于交互式地配置参数与展示图表。 + +## 2. 系统架构设计 +系统采用 **前后端分离** 架构： + +### 2.1 核心模块 +#### 后端 (Backend) +1. **Problem Interface (问题接口)** + * 定义问题的通用接口，包括 `generate_case()` (生成用例), `solve()` (求解), `verify()` (验证)。 +2. **Solver Engine (求解引擎)** + * 针对每个问题，实现多种算法策略（暴力、分治、DP、贪心等）。 +3. **Performance Analyzer (性能分析器)** + * 执行基准测试，验证正确性，统计运行时间。 +4. **API Layer (API 层)** + * 基于 **FastAPI** 提供 RESTful 接口，处理前端的配置请求并返回计算结果。 + +#### 前端 (Frontend) +1. **Control Panel (控制面板)** + * 选择算法问题（如“最大子数组和”、“0/1背包”）。 + * 配置生成参数（数据规模、数值范围、稀疏度等）。 +2. **Visualization (可视化展示)** + * 使用图表库展示不同算法的时间复杂度对比曲线。 + * 展示具体的测试用例数据与解题结果（用于教学演示）。 + +### 2.2 技术栈 +* **后端**: Python 3.x, FastAPI (Web框架), Matplotlib/Pandas (数据分析) +* **前端**: React, TailwindCSS (样式), Recharts (图表可视化), Axios (网络请求) + +## 3. 选定算法问题 + +### 问题一：最大子数组和 (Maximum Subarray Sum) +**描述**: 给定一个整数数组，找到一个具有最大和的连续子数组。 +**测试用例生成**: +* 随机生成长度为 $N$ 的整数数组。 +* 数值范围可配置（包含正负数）。 +**算法实现**: +1. **暴力枚举 (Brute Force)**: 双重循环枚举所有子数组，时间复杂度 $O(N^2)$。 +2. **分治算法 (Divide and Conquer)**: 递归将数组分为左右两半，最大子数组可能在左、右或跨越中点，时间复杂度 $O(N \log N)$。 +3. **动态规划 (Kadane's Algorithm)**: 线性扫描，时间复杂度 $O(N)$。 + +### 问题二：0/1 背包问题 (0/1 Knapsack Problem) +**描述**: 给定一组物品，每种物品都有自己的重量和价值，在限定的总重量内，选择其中若干个（也即每种物品可以选0个或1个），使得物品的总价值最高。 +**测试用例生成**: +* 随机生成 $N$ 个物品，每个物品具有重量 $w$ 和价值 $v$。 +* 随机生成背包容量 $C$。 +**算法实现**: +1. **回溯法 (Backtracking)**: 递归枚举所有可能的选择情况，时间复杂度 $O(2^N)$。 +2. **动态规划 (Dynamic Programming)**: 使用二维或一维数组记录状态，时间复杂度 $O(N \cdot C)$。 +3. **贪心算法 (Greedy, 近似解/对比)**: 按价值密度排序选择（注意：0/1背包贪心法通常不能得到最优解，可作为对比项展示“错误”或“近似”的算法，或者用于对比部分背包问题）。*注：本项目中为了验证正确性，主要对比回溯与DP，贪心可作为错误示范分析。* + +## 4. 目录结构规划 +``` +algorithm_platform/ +├── README.md +├── DESIGN_DOCUMENT.md +├── backend/ # 后端代码 +│ ├── main.py # FastAPI 入口 +│ ├── common/ # 通用工具 +│ │ ├── __init__.py +│ │ ├── base_problem.py +│ │ └── timer_utils.py +│ ├── problems/ # 算法实现模块 +│ │ ├── __init__.py +│ │ ├── max_subarray/ +│ │ └── knapsack/ +│ └── routers/ # API 路由 +└── frontend/ # 前端代码 + ├── src/ + │ ├── components/ # UI 组件 + │ ├── pages/ # 页面 + │ └── services/ # API 调用 + ├── package.json + └── vite.config.js +``` + +## 5. 开发计划 +1. **第一阶段**: 搭建后端核心骨架 (FastAPI + Base Classes)。 +2. **第二阶段**: 实现“最大子数组和”算法逻辑与 API。 +3. **第三阶段**: 搭建 React 前端框架，实现基础交互与图表组件。 +4. **第四阶段**: 实现“0/1背包”算法逻辑，并接入前端。 +5. **第五阶段**: 优化 UI/UX，完善性能对比的可视化报告。 diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..2ca6c75 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,14 @@ + + + + + + + Algorithm Platform + + + +
+ + + diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..b57be7e --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,30 @@ +{ + "name": "algorithm-platform-frontend", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "vite build", + "lint": "eslint .", + "preview": "vite preview" + }, + "dependencies": { + "axios": "^1.6.0", + "lucide-react": "^0.292.0", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "recharts": "^2.9.0", + "clsx": "^2.0.0", + "tailwind-merge": "^2.0.0" + }, + "devDependencies": { + "@types/react": "^18.2.37", + "@types/react-dom": "^18.2.15", + "@vitejs/plugin-react": "^4.2.0", + "autoprefixer": "^10.4.16", + "postcss": "^8.4.31", + "tailwindcss": "^3.3.5", + "vite": "^5.0.0" + } +} diff --git a/frontend/pnpm-lock.yaml b/frontend/pnpm-lock.yaml new file mode 100644 index 0000000..774e763 --- /dev/null +++ b/frontend/pnpm-lock.yaml @@ -0,0 +1,2066 @@ +lockfileVersion: 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react-smooth@4.0.4(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + dependencies: + fast-equals: 5.3.3 + prop-types: 15.8.1 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-transition-group: 4.4.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + + react-transition-group@4.4.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + dependencies: + '@babel/runtime': 7.28.4 + dom-helpers: 5.2.1 + loose-envify: 1.4.0 + prop-types: 15.8.1 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + + react@18.3.1: + dependencies: + loose-envify: 1.4.0 + + read-cache@1.0.0: + dependencies: + pify: 2.3.0 + + readdirp@3.6.0: + dependencies: + picomatch: 2.3.1 + + recharts-scale@0.4.5: + dependencies: + decimal.js-light: 2.5.1 + + recharts@2.15.4(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + dependencies: + clsx: 2.1.1 + eventemitter3: 4.0.7 + lodash: 4.17.21 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-is: 18.3.1 + react-smooth: 4.0.4(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + recharts-scale: 0.4.5 + tiny-invariant: 1.3.3 + victory-vendor: 36.9.2 + + resolve@1.22.11: + dependencies: + is-core-module: 2.16.1 + path-parse: 1.0.7 + supports-preserve-symlinks-flag: 1.0.0 + + reusify@1.1.0: {} + + rollup@4.53.3: + dependencies: + '@types/estree': 1.0.8 + optionalDependencies: + '@rollup/rollup-android-arm-eabi': 4.53.3 + '@rollup/rollup-android-arm64': 4.53.3 + '@rollup/rollup-darwin-arm64': 4.53.3 + '@rollup/rollup-darwin-x64': 4.53.3 + '@rollup/rollup-freebsd-arm64': 4.53.3 + '@rollup/rollup-freebsd-x64': 4.53.3 + '@rollup/rollup-linux-arm-gnueabihf': 4.53.3 + '@rollup/rollup-linux-arm-musleabihf': 4.53.3 + '@rollup/rollup-linux-arm64-gnu': 4.53.3 + '@rollup/rollup-linux-arm64-musl': 4.53.3 + '@rollup/rollup-linux-loong64-gnu': 4.53.3 + '@rollup/rollup-linux-ppc64-gnu': 4.53.3 + '@rollup/rollup-linux-riscv64-gnu': 4.53.3 + '@rollup/rollup-linux-riscv64-musl': 4.53.3 + '@rollup/rollup-linux-s390x-gnu': 4.53.3 + '@rollup/rollup-linux-x64-gnu': 4.53.3 + '@rollup/rollup-linux-x64-musl': 4.53.3 + '@rollup/rollup-openharmony-arm64': 4.53.3 + '@rollup/rollup-win32-arm64-msvc': 4.53.3 + '@rollup/rollup-win32-ia32-msvc': 4.53.3 + '@rollup/rollup-win32-x64-gnu': 4.53.3 + '@rollup/rollup-win32-x64-msvc': 4.53.3 + fsevents: 2.3.3 + + run-parallel@1.2.0: + dependencies: + queue-microtask: 1.2.3 + + scheduler@0.23.2: + dependencies: + loose-envify: 1.4.0 + + semver@6.3.1: {} + + source-map-js@1.2.1: {} + + sucrase@3.35.1: + dependencies: + '@jridgewell/gen-mapping': 0.3.13 + commander: 4.1.1 + lines-and-columns: 1.2.4 + mz: 2.7.0 + pirates: 4.0.7 + tinyglobby: 0.2.15 + ts-interface-checker: 0.1.13 + + supports-preserve-symlinks-flag@1.0.0: {} + + tailwind-merge@2.6.0: {} + + tailwindcss@3.4.18: + dependencies: + '@alloc/quick-lru': 5.2.0 + arg: 5.0.2 + chokidar: 3.6.0 + didyoumean: 1.2.2 + dlv: 1.1.3 + fast-glob: 3.3.3 + glob-parent: 6.0.2 + is-glob: 4.0.3 + jiti: 1.21.7 + lilconfig: 3.1.3 + micromatch: 4.0.8 + normalize-path: 3.0.0 + object-hash: 3.0.0 + picocolors: 1.1.1 + postcss: 8.5.6 + postcss-import: 15.1.0(postcss@8.5.6) + postcss-js: 4.1.0(postcss@8.5.6) + postcss-load-config: 6.0.1(jiti@1.21.7)(postcss@8.5.6) + postcss-nested: 6.2.0(postcss@8.5.6) + postcss-selector-parser: 6.1.2 + resolve: 1.22.11 + sucrase: 3.35.1 + transitivePeerDependencies: + - tsx + - yaml + + thenify-all@1.6.0: + dependencies: + thenify: 3.3.1 + + thenify@3.3.1: + dependencies: + any-promise: 1.3.0 + + tiny-invariant@1.3.3: {} + + tinyglobby@0.2.15: + dependencies: + fdir: 6.5.0(picomatch@4.0.3) + picomatch: 4.0.3 + + to-regex-range@5.0.1: + dependencies: + is-number: 7.0.0 + + ts-interface-checker@0.1.13: {} + + update-browserslist-db@1.1.4(browserslist@4.28.0): + dependencies: + browserslist: 4.28.0 + escalade: 3.2.0 + picocolors: 1.1.1 + + util-deprecate@1.0.2: {} + + victory-vendor@36.9.2: + dependencies: + '@types/d3-array': 3.2.2 + '@types/d3-ease': 3.0.2 + '@types/d3-interpolate': 3.0.4 + '@types/d3-scale': 4.0.9 + '@types/d3-shape': 3.1.7 + '@types/d3-time': 3.0.4 + '@types/d3-timer': 3.0.2 + d3-array: 3.2.4 + d3-ease: 3.0.1 + d3-interpolate: 3.0.1 + d3-scale: 4.0.2 + d3-shape: 3.2.0 + d3-time: 3.1.0 + d3-timer: 3.0.1 + + vite@5.4.21: + dependencies: + esbuild: 0.21.5 + postcss: 8.5.6 + rollup: 4.53.3 + optionalDependencies: + fsevents: 2.3.3 + + yallist@3.1.1: {} diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx new file mode 100644 index 0000000..5dbe349 --- /dev/null +++ b/frontend/src/App.jsx @@ -0,0 +1,72 @@ +import React, { useState } from 'react'; +import MaxSubarray from './components/MaxSubarray'; +import IntervalScheduling from './components/IntervalScheduling'; +import NQueens from './components/NQueens'; +import Knapsack from './components/Knapsack'; + +function App() { + const [activeTab, setActiveTab] = useState('max_subarray'); + + return ( +
+ + +
+
+ {activeTab === 'max_subarray' && } + {activeTab === 'interval_scheduling' && } + {activeTab === 'n_queens' && } + {activeTab === 'knapsack' && } +
+
+
+ ); +} + +export default App; diff --git a/frontend/src/api.js b/frontend/src/api.js new file mode 100644 index 0000000..3155545 --- /dev/null +++ b/frontend/src/api.js @@ -0,0 +1,103 @@ +import axios from 'axios'; + +const API_URL = 'http://localhost:8000'; + +export const generateCase = async (size, minVal, maxVal) => { + const response = await axios.post(`${API_URL}/max_subarray/generate`, { + size, + min_val: minVal, + max_val: maxVal + }); + return response.data; +}; + +export const solveCase = async (array, algorithms) => { + const response = await axios.post(`${API_URL}/max_subarray/solve`, { + array, + algorithms + }); + return response.data; +}; + +export const runBenchmark = async (sizes, algorithms) => { + const response = await axios.post(`${API_URL}/max_subarray/benchmark`, { + sizes, + algorithms + }); + return response.data; +}; + +// Interval Scheduling API +export const generateIntervalCase = async (size, minTime, maxTime) => { + const response = await axios.post(`${API_URL}/interval_scheduling/generate`, { + size, + min_time: minTime, + max_time: maxTime + }); + return response.data; +}; + +export const solveIntervalCase = async (intervals, algorithms) => { + const response = await axios.post(`${API_URL}/interval_scheduling/solve`, { + intervals, + algorithms + }); + return response.data; +}; + +export const runIntervalBenchmark = async (sizes, algorithms) => { + const response = await axios.post(`${API_URL}/interval_scheduling/benchmark`, { + sizes, + algorithms + }); + return response.data; +}; + +// N-Queens API +export const generateNQueensCase = async (n) => { + const response = await axios.post(`${API_URL}/n_queens/generate`, { n }); + return response.data; +}; + +export const solveNQueensCase = async (n, algorithms) => { + const response = await axios.post(`${API_URL}/n_queens/solve`, { + n, + algorithms + }); + return response.data; +}; + +export const runNQueensBenchmark = async (sizes, algorithms) => { + const response = await axios.post(`${API_URL}/n_queens/benchmark`, { + sizes, + algorithms + }); + return response.data; +}; + +// Knapsack API +export const generateKnapsackCase = async (numItems, maxWeight, maxValue) => { + const response = await axios.post(`${API_URL}/knapsack/generate`, { + num_items: numItems, + max_weight: maxWeight, + max_value: maxValue + }); + return response.data; +}; + +export const solveKnapsackCase = async (items, capacity, algorithms) => { + const response = await axios.post(`${API_URL}/knapsack/solve`, { + items, + capacity, + algorithms + }); + return response.data; +}; + +export const runKnapsackBenchmark = async (sizes, algorithms) => { + const response = await axios.post(`${API_URL}/knapsack/benchmark`, { + sizes, + algorithms + }); + return response.data; +}; diff --git a/frontend/src/components/IntervalScheduling.jsx b/frontend/src/components/IntervalScheduling.jsx new file mode 100644 index 0000000..abaca4e --- /dev/null +++ b/frontend/src/components/IntervalScheduling.jsx @@ -0,0 +1,250 @@ +import React, { useState } from 'react'; +import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts'; +import { generateIntervalCase, solveIntervalCase, runIntervalBenchmark } from '../api'; + +const IntervalScheduling = () => { + const [params, setParams] = useState({ size: 10, min: 0, max: 100 }); + const [currentCase, setCurrentCase] = useState(null); + const [solveResults, setSolveResults] = useState(null); + const [benchmarkResults, setBenchmarkResults] = useState(null); + const [loading, setLoading] = useState(false); + + // Algorithm selection state + const [selectedAlgorithms, setSelectedAlgorithms] = useState({ + greedy: true, + brute_force: true + }); + + const algorithmsList = [ + { id: 'greedy', name: '贪心算法 (Greedy) O(N log N)' }, + { id: 'brute_force', name: '暴力求解 (Brute Force) O(2^N)' } + ]; + + const getSelectedAlgoKeys = () => { + return Object.keys(selectedAlgorithms).filter(k => selectedAlgorithms[k]); + }; + + const handleGenerate = async () => { + setLoading(true); + try { + const data = await generateIntervalCase(params.size, params.min, params.max); + setCurrentCase(data.intervals); + setSolveResults(null); + } catch (error) { + console.error("Error generating case:", error); + alert("生成测试用例失败"); + } + setLoading(false); + }; + + const handleSolve = async () => { + if (!currentCase) return; + const algos = getSelectedAlgoKeys(); + if (algos.length === 0) { + alert("请至少选择一种算法"); + return; + } + + setLoading(true); + try { + const results = await solveIntervalCase(currentCase, algos); + setSolveResults(results); + } catch (error) { + console.error("Error solving case:", error); + alert("求解失败"); + } + setLoading(false); + }; + + const handleBenchmark = async () => { + const algos = getSelectedAlgoKeys(); + if (algos.length === 0) { + alert("请至少选择一种算法"); + return; + } + + setLoading(true); + try { + // Smaller sizes for Brute Force safety + const sizes = [5, 10, 15, 20, 22]; + const results = await runIntervalBenchmark(sizes, algos); + + // Transform data for Recharts + const chartData = results.map(item => { + const point = { size: item.size }; + item.algorithms.forEach(algo => { + if (algo.time_seconds !== undefined && algo.time_seconds !== null) { + point[algo.algorithm] = algo.time_seconds; + } + }); + return point; + }); + + setBenchmarkResults(chartData); + } catch (error) { + console.error("Error running benchmark:", error); + alert("性能测试失败"); + } + setLoading(false); + }; + + const toggleAlgorithm = (algoId) => { + setSelectedAlgorithms(prev => ({ + ...prev, + [algoId]: !prev[algoId] + })); + }; + + return ( +
+

区间调度问题 (Interval Scheduling)

+

目标：在给定的一组区间中，选择尽可能多的互不重叠的区间。

+ + {/* Algorithm Selection */} +
+

算法选择

+
+ {algorithmsList.map(algo => ( + + ))} +
+
+ + {/* Section 1: Generate & Solve */} +
+
+

1. 生成测试用例

+
+
+
+ + setParams({ ...params, size: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ + setParams({ ...params, min: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ + setParams({ ...params, max: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ +
+ + {currentCase && ( +
+

已生成区间 (预览):

+
+ {currentCase.map((interval, idx) => ( +
+ [{interval[0]}, {interval[1]}] +
+ ))} +
+

总区间数量: {currentCase.length}

+
+ )} +
+ +
+

2. 求解与验证

+ + + {solveResults && ( +
+ + + + + + + + + + {solveResults.map((res, idx) => ( + + + + + + ))} + +
算法选中数量耗时 (秒)
{res.algorithm}{res.result_count}{res.time_seconds?.toFixed(6)}
+
+ )} +
+
+ + {/* Section 2: Benchmark */} +
+
+

3. 性能对比测试

+ +
+ + {benchmarkResults && ( +
+ + + + + + + + + + + +
+ )} +
+
+ ); +}; + +export default IntervalScheduling; diff --git a/frontend/src/components/Knapsack.jsx b/frontend/src/components/Knapsack.jsx new file mode 100644 index 0000000..9fbe1ca --- /dev/null +++ b/frontend/src/components/Knapsack.jsx @@ -0,0 +1,261 @@ +import React, { useState } from 'react'; +import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts'; +import { generateKnapsackCase, solveKnapsackCase, runKnapsackBenchmark } from '../api'; + +const Knapsack = () => { + const [params, setParams] = useState({ num_items: 10, max_weight: 50, max_value: 100 }); + const [currentCase, setCurrentCase] = useState(null); + const [solveResults, setSolveResults] = useState(null); + const [benchmarkResults, setBenchmarkResults] = useState(null); + const [loading, setLoading] = useState(false); + + // Algorithm selection state + const [selectedAlgorithms, setSelectedAlgorithms] = useState({ + dp: true, + backtracking: true + }); + + const algorithmsList = [ + { id: 'dp', name: '动态规划 (DP) O(NW)' }, + { id: 'backtracking', name: '回溯算法 (Backtracking) O(2^N)' } + ]; + + const getSelectedAlgoKeys = () => { + return Object.keys(selectedAlgorithms).filter(k => selectedAlgorithms[k]); + }; + + const handleGenerate = async () => { + setLoading(true); + try { + const data = await generateKnapsackCase(params.num_items, params.max_weight, params.max_value); + setCurrentCase(data); + setSolveResults(null); + } catch (error) { + console.error("Error generating case:", error); + alert("生成测试用例失败"); + } + setLoading(false); + }; + + const handleSolve = async () => { + if (!currentCase) return; + const algos = getSelectedAlgoKeys(); + if (algos.length === 0) { + alert("请至少选择一种算法"); + return; + } + + setLoading(true); + try { + const results = await solveKnapsackCase(currentCase.items, currentCase.capacity, algos); + setSolveResults(results); + } catch (error) { + console.error("Error solving case:", error); + alert("求解失败"); + } + setLoading(false); + }; + + const handleBenchmark = async () => { + const algos = getSelectedAlgoKeys(); + if (algos.length === 0) { + alert("请至少选择一种算法"); + return; + } + + setLoading(true); + try { + const sizes = [10, 15, 20, 22, 25]; + const results = await runKnapsackBenchmark(sizes, algos); + + const chartData = results.map(item => { + const point = { size: item.size }; + item.algorithms.forEach(algo => { + if (algo.time_seconds !== undefined && algo.time_seconds !== null) { + point[algo.algorithm] = algo.time_seconds; + } + }); + return point; + }); + + setBenchmarkResults(chartData); + } catch (error) { + console.error("Error running benchmark:", error); + alert("性能测试失败"); + } + setLoading(false); + }; + + const toggleAlgorithm = (algoId) => { + setSelectedAlgorithms(prev => ({ + ...prev, + [algoId]: !prev[algoId] + })); + }; + + return ( +
+

0/1 背包问题 (0/1 Knapsack)

+

目标：在不超过背包容量的情况下，选择物品使得总价值最大。

+ + {/* Algorithm Selection */} +
+

算法选择

+
+ {algorithmsList.map(algo => ( + + ))} +
+
+ + {/* Section 1: Generate & Solve */} +
+
+

1. 生成测试用例

+
+
+
+ + setParams({ ...params, num_items: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ + setParams({ ...params, max_weight: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ + setParams({ ...params, max_value: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ +
+ + {currentCase && ( +
+

背包容量: {currentCase.capacity}

+

物品列表 (预览):

+
+ + + + + + + + + + {currentCase.items.map((item) => ( + + + + + + ))} + +
ID重量价值
{item.id}{item.weight}{item.value}
+
+
+ )} +
+ +
+

2. 求解与验证

+ + + {solveResults && ( +
+ + + + + + + + + + {solveResults.map((res, idx) => ( + + + + + + ))} + +
算法最大价值耗时 (秒)
{res.algorithm}{res.max_value}{res.time_seconds?.toFixed(6)}
+
+ )} +
+
+ + {/* Section 2: Benchmark */} +
+
+

3. 性能对比测试

+ +
+ + {benchmarkResults && ( +
+ + + + + + + + + + + +
+ )} +
+
+ ); +}; + +export default Knapsack; diff --git a/frontend/src/components/MaxSubarray.jsx b/frontend/src/components/MaxSubarray.jsx new file mode 100644 index 0000000..06b6147 --- /dev/null +++ b/frontend/src/components/MaxSubarray.jsx @@ -0,0 +1,248 @@ +import React, { useState } from 'react'; +import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts'; +import { generateCase, solveCase, runBenchmark } from '../api'; + +const MaxSubarray = () => { + const [params, setParams] = useState({ size: 100, min: -100, max: 100 }); + const [currentCase, setCurrentCase] = useState(null); + const [solveResults, setSolveResults] = useState(null); + const [benchmarkResults, setBenchmarkResults] = useState(null); + const [loading, setLoading] = useState(false); + + // Algorithm selection state + const [selectedAlgorithms, setSelectedAlgorithms] = useState({ + brute_force: true, + divide_conquer: true, + kadane: true + }); + + const algorithmsList = [ + { id: 'brute_force', name: '暴力求解 (Brute Force) O(N^2)' }, + { id: 'divide_conquer', name: '分治算法 (Divide & Conquer) O(N log N)' }, + { id: 'kadane', name: 'Kadane算法 (Kadane) O(N)' } + ]; + + const getSelectedAlgoKeys = () => { + return Object.keys(selectedAlgorithms).filter(k => selectedAlgorithms[k]); + }; + + const handleGenerate = async () => { + setLoading(true); + try { + const data = await generateCase(params.size, params.min, params.max); + setCurrentCase(data.array); + setSolveResults(null); + } catch (error) { + console.error("Error generating case:", error); + alert("生成测试用例失败"); + } + setLoading(false); + }; + + const handleSolve = async () => { + if (!currentCase) return; + const algos = getSelectedAlgoKeys(); + if (algos.length === 0) { + alert("请至少选择一种算法"); + return; + } + + setLoading(true); + try { + const results = await solveCase(currentCase, algos); + setSolveResults(results); + } catch (error) { + console.error("Error solving case:", error); + alert("求解失败"); + } + setLoading(false); + }; + + const handleBenchmark = async () => { + const algos = getSelectedAlgoKeys(); + if (algos.length === 0) { + alert("请至少选择一种算法"); + return; + } + + setLoading(true); + try { + // Smaller sizes for quick demo + const sizes = [10, 50, 100, 200, 500, 1000, 2000]; + const results = await runBenchmark(sizes, algos); + + // Transform data for Recharts + const chartData = results.map(item => { + const point = { size: item.size }; + item.algorithms.forEach(algo => { + if (algo.time_seconds !== undefined && algo.time_seconds !== null) { + point[algo.algorithm] = algo.time_seconds; + } + }); + return point; + }); + + setBenchmarkResults(chartData); + } catch (error) { + console.error("Error running benchmark:", error); + alert("性能测试失败"); + } + setLoading(false); + }; + + const toggleAlgorithm = (algoId) => { + setSelectedAlgorithms(prev => ({ + ...prev, + [algoId]: !prev[algoId] + })); + }; + + return ( +
+

最大子数组和问题 (Maximum Subarray Sum)

+ + {/* Algorithm Selection */} +
+

算法选择

+
+ {algorithmsList.map(algo => ( + + ))} +
+
+ + {/* Section 1: Generate & Solve */} +
+
+

1. 生成测试用例

+
+
+
+ + setParams({ ...params, size: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ + setParams({ ...params, min: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ + setParams({ ...params, max: parseInt(e.target.value) })} + className="mt-1 block w-full border rounded-md p-2" + /> +
+
+ +
+ + {currentCase && ( +
+

已生成数组 (预览):

+

+ [{currentCase.slice(0, 50).join(', ')}{currentCase.length > 50 ? '...' : ''}] +

+

总元素数量: {currentCase.length}

+
+ )} +
+ +
+

2. 求解与验证

+ + + {solveResults && ( +
+ + + + + + + + + + {solveResults.map((res, idx) => ( + + + + + + ))} + +
算法结果耗时 (秒)
{res.algorithm}{res.result}{res.time_seconds?.toFixed(6)}
+
+ )} +
+
+ + {/* Section 2: Benchmark */} +
+
+

3. 性能对比测试

+ +
+ + {benchmarkResults && ( +
+ + + + + + + + + + + + +
+ )} +
+
+ ); +}; + +export default MaxSubarray; diff --git a/frontend/src/components/NQueens.jsx b/frontend/src/components/NQueens.jsx new file mode 100644 index 0000000..ab7c432 --- /dev/null +++ b/frontend/src/components/NQueens.jsx @@ -0,0 +1,174 @@ +import React, { useState } from 'react'; +import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts'; +import { generateNQueensCase, solveNQueensCase, runNQueensBenchmark } from '../api'; + +const NQueens = () => { + const [n, setN] = useState(8); + const [currentSolution, setCurrentSolution] = useState(null); + const [solutionCount, setSolutionCount] = useState(null); + const [solveTime, setSolveTime] = useState(null); + const [benchmarkResults, setBenchmarkResults] = useState(null); + const [loading, setLoading] = useState(false); + + const handleSolve = async () => { + setLoading(true); + try { + // Generate is trivial (just N), so we skip explicit generate step for UI simplicity + // and just call solve directly + const results = await solveNQueensCase(n, ["backtracking"]); + if (results && results.length > 0) { + const res = results[0]; + setCurrentSolution(res.first_solution); + setSolutionCount(res.solution_count); + setSolveTime(res.time_seconds); + } + } catch (error) { + console.error("Error solving N-Queens:", error); + alert("求解失败"); + } + setLoading(false); + }; + + const handleBenchmark = async () => { + setLoading(true); + try { + const sizes = [4, 8, 10, 12, 13]; + const results = await runNQueensBenchmark(sizes, ["backtracking"]); + + const chartData = results.map(item => { + const point = { size: item.size }; + item.algorithms.forEach(algo => { + if (algo.time_seconds !== undefined && algo.time_seconds !== null) { + point[algo.algorithm] = algo.time_seconds; + } + }); + return point; + }); + + setBenchmarkResults(chartData); + } catch (error) { + console.error("Error running benchmark:", error); + alert("性能测试失败"); + } + setLoading(false); + }; + + // Render the chess board + const renderBoard = () => { + if (!currentSolution) return null; + + const boardSize = 400; + const cellSize = boardSize / n; + + return ( +
+ {Array.from({ length: n }).map((_, row) => ( + Array.from({ length: n }).map((_, col) => { + const isBlack = (row + col) % 2 === 1; + const hasQueen = currentSolution[row] === col; + return ( +
+ {hasQueen && ♛} +
+ ); + }) + ))} +
+ ); + }; + + return ( +
+

N皇后问题 (N-Queens)

+

目标：在 N×N 的棋盘上放置 N 个皇后，使得它们互不攻击。

+ +
+ {/* Controls */} +
+
+ + setN(parseInt(e.target.value))} + className="mt-1 block w-full border rounded-md p-2" + /> +

建议 N ≤ 14，否则计算时间过长

+
+ + + + {solutionCount !== null && ( +
+

找到解的数量: {solutionCount}

+

耗时: {solveTime?.toFixed(6)} 秒

+
+ )} +
+ + {/* Visualization */} +
+ {currentSolution ? renderBoard() : ( +
+

点击求解以查看结果

+
+ )} +
+
+ + {/* Benchmark */} +
+
+

性能测试 (N=4 to 13)

+ +
+ + {benchmarkResults && ( +
+ + + + + + + + + + +
+ )} +
+
+ ); +}; + +export default NQueens; diff --git a/frontend/src/index.css b/frontend/src/index.css new file mode 100644 index 0000000..b5c61c9 --- /dev/null +++ b/frontend/src/index.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/frontend/src/main.jsx b/frontend/src/main.jsx new file mode 100644 index 0000000..54b39dd --- /dev/null +++ b/frontend/src/main.jsx @@ -0,0 +1,10 @@ +import React from 'react' +import ReactDOM from 'react-dom/client' +import App from './App.jsx' +import './index.css' + +ReactDOM.createRoot(document.getElementById('root')).render( + + + , +) diff --git a/frontend/vite.config.js b/frontend/vite.config.js new file mode 100644 index 0000000..5a33944 --- /dev/null +++ b/frontend/vite.config.js @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], +}) diff --git a/nginx.conf b/nginx.conf new file mode 100644 index 0000000..303365d --- /dev/null +++ b/nginx.conf @@ -0,0 +1,44 @@ +events { + worker_connections 1024; +} + +http { + include /etc/nginx/mime.types; + default_type application/octet-stream; + + upstream backend { + server backend:8000; + } + + server { + listen 80; + server_name localhost; + + # Frontend static files + location / { + root /usr/share/nginx/html; + try_files $uri $uri/ /index.html; + } + + # Proxy API requests to backend + location /api/ { + proxy_pass http://backend/; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + } + + # Proxy docs to backend + location /docs { + proxy_pass http://backend/docs; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + } + + location /openapi.json { + proxy_pass http://backend/openapi.json; + proxy_set_header Host $host; + } + } +}