paddlers/main.py

from flask import Flask, request, jsonify,send_from_directory,Response
import uuid
# from change_detect import change_detect
# from building_extrat import building_extrat
# from road_extrat import road_extrat
import requests
from PIL import Image
from io import BytesIO


app = Flask(__name__)

# 设置静态文件夹（如果您想指定路径）
app.config['UPLOAD_FOLDER'] = 'predict/output'
host = 'http://192.168.60.2'

uploadPath = 'predict/upload/'
outputPath = 'predict/output/'

# GET 请求接口示例
@app.route('/api/get_data', methods=['GET'])
def get_data():
    # 获取请求参数
    param = request.args.get('param', default='default_value')
    # 返回 JSON 响应
    return jsonify({
        "message": "GET 请求成功",
        "param": param
    })

# POST 上传单张图片
@app.route('/api/upload_single_image', methods=['POST'])
def upload_image():
    # 获取上传的文件
    img = request.files['img1']
    # 保存文件
    filePath = 'predict/' + str(uuid.uuid4()) + img.filename

    img.save(filePath)
    return jsonify({
        "message": "上传成功",
        "data":{
            "img": filePath
        }
    })

# POST 上传图片
@app.route('/api/upload_image', methods=['POST'])
def upload_image():
    # 获取上传的文件
    img1 = request.files['img1']
    img2 = request.files['img2']
    # 保存文件
    filePath1 = uploadPath + str(uuid.uuid4()) + img1.filename
    filePath2 = uploadPath + str(uuid.uuid4()) + img2.filename

    img1.save(filePath1)
    img2.save(filePath2)
    return jsonify({
        "message": "上传成功",
        "data":{
            "img1": filePath1,
            "img2": filePath2
        }
    })
# POST 通过url保存图片到本地
@app.route('/api/save_image', methods=['POST'])
def save_image():
    # 获取图片路径
    data = request.get_json()
    img1 = data['img1']
    img2 = data['img2']

    response1 = requests.get('http://192.168.60.63'+img1)
    if response1.status_code != 200:
        return jsonify({
            "message": "图片1不存在",
            "data":{
                "img1": img1
            }
        })
    img1 = Image.open(BytesIO(response1.content))
    img1Path = uploadPath + str(uuid.uuid4()) + '.png'
    img1.save(img1Path,format='PNG')

    response2 = requests.get('http://192.168.60.63'+img2)
    if response2.status_code != 200:
        return jsonify({
            "message": "图片2不存在",
            "data":{
                "img2": img2
            }
        })
    img2 = Image.open(BytesIO(response2.content))
    img2Path = uploadPath + str(uuid.uuid4()) + '.png'
    img2.save(img2Path,format='PNG')

    return jsonify({
        "message": "保存成功",
        "data":{
            "img1": img1Path,
            "img2": img2Path,
        }
    })

# POST 分析图片
@app.route('/api/detect_image', methods=['POST'])
def detect_image():
    # 获取图片路径
    data = request.get_json()
    img1 = data['img1']
    img2 = data['img2']
    getImgPath=start(img1,img2)
    return jsonify({
        "message": "分析成功",
        "data":{
            "img": host+'/predict/'+getImgPath
        }
    })

# 访问静态文件
@app.route('/predict/output/<filename>')
def view_file(filename):
    return send_from_directory(app.config['UPLOAD_FOLDER'], filename)

# # 测试转发接口
# # 目标代理服务 URL
# WMS_PROXY_URL = "http://192.168.60.52:9099/hardwareInfo/getRequestIp"
# @app.route('/proxy/handle/22d38ad36d354a6fb8adc2fb378a66d6/siweiserver/wms', methods=['GET'])
# def proxy_wms():
#     # 从客户端请求中获取参数
#     params = request.args.to_dict()


#     # 拼接 WMS 请求 URL
#     wms_url = WMS_PROXY_URL + "?" + "&".join([f"{key}={value}" for key, value in params.items()])
#     # 发送请求到目标 WMS 服务
#     # 自定义 HTTP 头
#     headers = {
#         'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36 Edg/130.0.0.0'
#         }
#     response = requests.get(wms_url,headers=headers, stream=True)

#     # 返回目标服务的响应给客户端
#     return Response(response.iter_content(chunk_size=1024), content_type=response.headers['Content-Type'])



if __name__ == '__main__':
    app.run(debug=True,host='0.0.0.0',port=4100)