From 3bcfafd02a6a7de047918656bffa71574518c4fb Mon Sep 17 00:00:00 2001 From: ljy <473960544@qq.com> Date: Tue, 6 May 2025 20:27:42 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E7=89=88?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/algorithms.py | 29 ++++++++++++++++ app/main.http | 24 +++++++++++++ app/main.py | 86 +++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 139 insertions(+) create mode 100644 app/algorithms.py create mode 100644 app/main.http create mode 100644 app/main.py diff --git a/app/algorithms.py b/app/algorithms.py new file mode 100644 index 0000000..25b7db5 --- /dev/null +++ b/app/algorithms.py @@ -0,0 +1,29 @@ +import numpy as np +from typing import List, Tuple + +def bilinear_interpolation( + X_NUM: int, + Y_NUM: int, + X: float, + Y: float, + X0: List[float], + Y0: List[float], + Z0: np.ndarray +) -> Tuple[float, float, float, List[float]]: + """ + 双线性插值计算 + :param X_NUM: X方向点数 (整数) + :param Y_NUM: Y方向点数 (整数) + :param X: 目标X坐标 (浮点数) + :param Y: 目标Y坐标 (浮点数) + :param X0: X坐标数组 (浮点数列表) + :param Y0: Y坐标数组 (浮点数列表) + :param Z0: 二维数据数组 (numpy.ndarray, 形状为 Y_NUM x X_NUM) + :return: 元组 (Z, ZX, ZY, Z_OUT) + """ + X0_arr = np.array(X0) # 转换为NumPy数组 + Z = np.interp(Y, Y0, Z0[:, np.argmin(np.abs(X0_arr - X))]) + ZX = (np.interp(Y, Y0, Z0[:, np.argmin(np.abs(X0_arr - X + 0.1))]) - Z) / 0.1 + ZY = (np.interp(Y + 0.1, Y0, Z0[:, np.argmin(np.abs(X0_arr - X))]) - Z) / 0.1 + Z_OUT = Z0.flatten().tolist() + return Z, ZX, ZY, Z_OUT \ No newline at end of file diff --git a/app/main.http b/app/main.http new file mode 100644 index 0000000..dd44a80 --- /dev/null +++ b/app/main.http @@ -0,0 +1,24 @@ +### 1. 测试矩阵乘法 API +POST http://127.0.0.1:5000/api/matrix_multiply +Content-Type: application/json + +[ + [1, 2, 3], + [4, 5, 6], + [7, 8, 9] +] + +### 2. 测试时间序列分析 API +POST http://127.0.0.1:5000/api/time_series_analysis +Content-Type: application/json + +[1.2, 3.4, 5.6, 7.8, 9.0] + + +### 计算API +POST http://127.0.0.1:5000/PythonCalculate +Content-Type: application/json + +{ + "text": "{\"FuncName\":\"calculate_main\",\"ClassName\":\"\",\"Par\":[{\"Name\":\"X_NUM\",\"DataType\":\"0\",\"ArrayType\":\"0\",\"IsOut\":\"2\",\"Data\":5},{\"Name\":\"Y_NUM\",\"DataType\":\"0\",\"ArrayType\":\"0\",\"IsOut\":\"2\",\"Data\":5},{\"Name\":\"X\",\"DataType\":\"1\",\"ArrayType\":\"0\",\"IsOut\":\"2\",\"Data\":2.5},{\"Name\":\"Y\",\"DataType\":\"1\",\"ArrayType\":\"0\",\"IsOut\":\"2\",\"Data\":3.5},{\"Name\":\"X0\",\"DataType\":\"1\",\"ArrayType\":\"1\",\"IsOut\":\"2\",\"Data\":[1,2,3,4,5]},{\"Name\":\"Y0\",\"DataType\":\"1\",\"ArrayType\":\"1\",\"IsOut\":\"2\",\"Data\":[1,2,3,4,5]},{\"Name\":\"Z0\",\"DataType\":\"1\",\"ArrayType\":\"1\",\"IsOut\":\"2\",\"Data\":[1,2,3,4,5,2,3,4,5,6,3,4,5,6,7,4,5,6,7,8,5,6,7,8,9]},{\"Name\":\"Z\",\"DataType\":\"1\",\"ArrayType\":\"0\",\"IsOut\":\"1\",\"Data\":0},{\"Name\":\"ZX\",\"DataType\":\"1\",\"ArrayType\":\"0\",\"IsOut\":\"1\",\"Data\":0},{\"Name\":\"ZY\",\"DataType\":\"1\",\"ArrayType\":\"0\",\"IsOut\":\"1\",\"Data\":0},{\"Name\":\"Z_OUT\",\"DataType\":\"1\",\"ArrayType\":\"1\",\"IsOut\":\"1\",\"Data\":0}]}" +} \ No newline at end of file diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..8ccde9c --- /dev/null +++ b/app/main.py @@ -0,0 +1,86 @@ +import numpy as np +from flask import Flask, request, jsonify +from flasgger import Swagger +import json +from algorithms import bilinear_interpolation + +app = Flask(__name__) + +# 配置 Swagger +app.config['SWAGGER'] = { + 'title': '插值计算API', + 'description': '提供基于双线性插值的计算服务', + 'version': '1.0.0', + 'uiversion': 3 +} +swagger = Swagger(app) + +@app.route('/PythonCalculate', methods=['POST']) +def calculate(): + """ + 插值计算接口 + --- + tags: + - 计算 + parameters: + - in: body + name: body + required: true + schema: + type: object + properties: + text: + type: string + description: 包含计算参数的JSON字符串 + example: '{"FuncName":"calculate_main","ClassName":"","Par":[{"name":"X_NUM","dataType":"0","arrayType":"0","isOut":"2","data":5},{"name":"Y_NUM","dataType":"0","arrayType":"0","isOut":"2","data":5},{"name":"X","dataType":"1","arrayType":"0","isOut":"2","data":2.5},{"name":"Y","dataType":"1","arrayType":"0","isOut":"2","data":3.5},{"name":"X0","dataType":"1","arrayType":"1","isOut":"2","data":[1,2,3,4,5]},{"name":"Y0","dataType":"1","arrayType":"1","isOut":"2","data":[1,2,3,4,5]},{"name":"Z0","dataType":"1","arrayType":"1","isOut":"2","data":[1,2,3,4,5,2,3,4,5,6,3,4,5,6,7,4,5,6,7,8,5,6,7,8,9]},{"name":"Z","dataType":"1","arrayType":"0","isOut":"1","data":0},{"name":"ZX","dataType":"1","arrayType":"0","isOut":"1","data":0},{"name":"ZY","dataType":"1","arrayType":"0","isOut":"1","data":0},{"name":"Z_OUT","dataType":"1","arrayType":"1","isOut":"1","data":0}]}' + responses: + 200: + description: 计算结果 + schema: + type: object + properties: + text: + type: string + description: 包含计算结果的JSON字符串 + """ + # 解析输入JSON + request_data = request.json + input_data = json.loads(request_data["text"]) + + # 提取输入参数 + X_NUM = input_data["Par"][0]["Data"] + Y_NUM = input_data["Par"][1]["Data"] + X = input_data["Par"][2]["Data"] + Y = input_data["Par"][3]["Data"] + X0 = input_data["Par"][4]["Data"] + Y0 = input_data["Par"][5]["Data"] + Z0 = input_data["Par"][6]["Data"] + + # 调用算法函数 + Z, ZX, ZY, Z_OUT = bilinear_interpolation( + X_NUM, Y_NUM, X, Y, X0, Y0, np.array(Z0).reshape(Y_NUM, X_NUM) + ) + + # 构建输出JSON + output_data = { + "funcName": "calculate_main", + "className": "", + "par": [ + {"name": "X_NUM", "dataType": 0, "arrayType": 0, "isOut": 2, "data": X_NUM}, + {"name": "Y_NUM", "dataType": 0, "arrayType": 0, "isOut": 2, "data": Y_NUM}, + {"name": "X", "dataType": 1, "arrayType": 0, "isOut": 2, "data": X}, + {"name": "Y", "dataType": 2, "arrayType": 0, "isOut": 2, "data": Y}, + {"name": "X0", "dataType": 1, "arrayType": 1, "isOut": 2, "data": X0}, + {"name": "Y0", "dataType": 1, "arrayType": 1, "isOut": 2, "data": Y0}, + {"name": "Z0", "dataType": 1, "arrayType": 1, "isOut": 2, "data": Z0}, + {"name": "Z", "dataType": 1, "arrayType": 0, "isOut": 1, "data": float(Z)}, + {"name": "ZX", "dataType": 1, "arrayType": 0, "isOut": 1, "data": float(ZX)}, + {"name": "ZY", "dataType": 1, "arrayType": 0, "isOut": 1, "data": float(ZY)}, + {"name": "Z_OUT", "dataType": 1, "arrayType": 1, "isOut": 1, "data": Z_OUT} + ] + } + + return jsonify(output_data) + +if __name__ == '__main__': + app.run(debug=True) \ No newline at end of file