image_wms_temporary.py
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# coding=utf-8
#author: 4N
#createtime: 2021/3/24
#email: nheweijun@sina.com
import traceback
import numpy
from flask import Response
import random
from app.modules.service.models import Image
from app.util.component.ApiTemplate import ApiTemplate
from app.util.component.ParameterUtil import ParameterUtil
import json
from .util.MyThread import MyThread
from .util.ImageData import ImageData
from .util.Opencv import Opencv
from .util.Cache import Cache
from app.util.component.ModelVisitor import ModelVisitor
from app.util.component.ParameterUtil import StructurePrint
class Api(ApiTemplate):
api_name = "发布服务时预览"
def process(self):
result = {}
parameter: dict = self.para
try:
parameter = ParameterUtil.to_lower(parameter)
image_guids = parameter.get("image_guids")
get_extent = parameter.get("get_extent")
if get_extent and (get_extent == True or get_extent.lower().__eq__("true")):
tmp_extent = []
for g in image_guids.split(","):
image = Image.query.filter_by(guid=g).one_or_none()
if image:
image_extent = json.loads(image.extent)
if not tmp_extent:
tmp_extent = image_extent
else:
tmp_extent[0] = min(image_extent[0], tmp_extent[0])
tmp_extent[2] = max(image_extent[2], tmp_extent[2])
tmp_extent[1] = min(image_extent[1], tmp_extent[1])
tmp_extent[3] = max(image_extent[3], tmp_extent[3])
result["result"] = True
result["data"] = tmp_extent
return result
bbox = parameter.get("bbox")
width = int(parameter.get("width")) if parameter.get("width") else 256
height = int(parameter.get("height")) if parameter.get("height") else 256
image_type = parameter.get("format") if parameter.get("format") else "image/png"
quality = int(parameter.get("quality")) if parameter.get("quality") else 30
image_service_info ,zoo, servers = Cache.cache_data(None)
extent = [float(x) for x in bbox.split(",")]
images = Image.query.filter(Image.guid.in_(image_guids.split(","))).all()
intersect_image = [im for im in images if self.determin_intersect(json.loads(im.extent),extent)]
if len(intersect_image)>1:
# 结果矩阵
empty_list = [numpy.zeros((height,width), dtype=int) + 65536,
numpy.zeros((height,width), dtype=int) + 65536,
numpy.zeros((height,width), dtype=int) + 65536]
pixel_array = numpy.zeros((height,width,3), dtype=int)
thread_list = []
for image in intersect_image:
#该影像的服务器，随机选取一个
image_servers = image.server.split(",")
image_servers = [ser for ser in image_servers if ser in servers]
if len(image_servers)>0:
indx = int(random.random() * len(image_servers))
image_server = image_servers[indx]
else:
image_server = "None"
bands = json.loads(image.band_view)
image_data = ImageData(image_server, ModelVisitor.object_to_json(image))
thread: MyThread = MyThread(image_data.get_data, args=(extent,bands,height,width))
thread.start()
thread_list.append(thread)
for thread in thread_list:
thread.join()
data = thread.get_result()
# 掩膜在中央接口生成,合图
mask = numpy.zeros((height,width), dtype=int)
mask2 = numpy.zeros((height,width), dtype=int)
jizhun = data[:, :, 0]
mask[jizhun == 65536] = 1
mask[jizhun != 65536] = 0
mask2[jizhun == 65536] = 0
mask2[jizhun != 65536] = 1
# 掩膜计算
for i, d in enumerate(empty_list):
empty_list[i] = empty_list[i] * mask + data[:, :, i] * mask2
for ii in [0, 1, 2]:
# opencv 颜色排序为GBR
pixel_array[:, :, 2 - ii] = empty_list[ii]
elif len(intersect_image)==1:
# 该影像的服务器，随机选取一个
image = intersect_image[0]
image_servers = image.server.split(",")
image_servers = [ser for ser in image_servers if ser in servers]
if len(image_servers) > 0:
indx = int(random.random() * len(image_servers))
image_server = image_servers[indx]
else:
image_server = "None"
bands = json.loads(image.band_view)
image_data = ImageData(image_server,ModelVisitor.object_to_json(image))
pixel_array_t = image_data.get_data(extent,bands,height,width)
pixel_array = numpy.zeros((height, width, 3), dtype=int)
for ii in [0, 1, 2]:
# opencv 颜色排序为GBR
pixel_array[:, :, 2 - ii] = pixel_array_t[:, :, ii]
else:
# 结果矩阵
pixel_array = numpy.zeros((height, width, 3), dtype=int)+65536
# 将图片生成在内存中,然后直接返回response
im_data = Opencv.create_image(image_type, pixel_array, quality)
if self.para.get("overview"):
return pixel_array
return Response(im_data, mimetype=image_type.lower())
except Exception as e:
raise e
def determin_intersect(self, extent1, extent2):
if extent2[2] < extent1[0] or extent2[0] > extent1[2] or extent2[1] > extent1[
3] or extent2[3] < extent1[1]:
return False
else:
return True
api_doc = {
"tags": ["影像接口"],
"parameters": [
{"name": "image_guids",
"in": "query",
"type": "string"},
{"name": "get_extent",
"in": "query",
"type": "boolean",
"enum":[True,False]},
{"name": "bbox",
"in": "query",
"type": "string"},
{"name": "width",
"in": "query",
"type": "string"},
{"name": "height",
"in": "query",
"type": "string"},
{"name": "format",
"in": "query",
"type": "string"},
{"name": "quality",
"in": "query",
"type": "string"}
],
"responses": {
200: {
"schema": {
"properties": {
}
}
}
}
}