image_register.py
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# coding=utf-8
#author: 4N
#createtime: 2021/7/19
#email: nheweijun@sina.com
from osgeo import gdal,osr
from osgeo.gdal import Dataset,Band
from app.util.component.ApiTemplate import ApiTemplate
from app.modules.service.image.util.ThriftConnect import ThriftConnect
import json
from .models import Image
import datetime
from app.models import db
import uuid
import os
from .models import ImageTag
from .util.ImageType import ImageType
class Api(ApiTemplate):
api_name = "注册影像数据"
def process(self):
#可以注册一个目录
#返回结果
res = {}
try:
data_server = self.para.get("data_server")
paths = json.loads(self.para.get("paths"))
tag_guids = self.para.get("tag_guids")
if tag_guids:
tags = db.session.query(ImageTag).filter(ImageTag.guid.in_(tag_guids.split(","))).all()
else:
tags = []
#注册某影像
infos = []
if data_server.__eq__("本地服务器"):
image_paths = list(self.recur_paths_local(paths))
for image_info in image_paths:
image: Dataset = gdal.Open(image_info["path"], 0)
geo = image.GetGeoTransform()
origin = osr.SpatialReference()
origin.ImportFromWkt(image.GetProjection())
authority_code = origin.GetAuthorityCode(None)
band_count = image.RasterCount
band: Band = image.GetRasterBand(1)
count = band.GetOverviewCount()
nodatavalue = band.GetNoDataValue()
left_top = (geo[0], geo[3])
right_buttom = (geo[0] + geo[1] * image.RasterXSize, geo[3] + geo[5] * image.RasterYSize)
origin_extent = [left_top[0], right_buttom[1], right_buttom[0], left_top[1]]
# target = origin.CloneGeogCS()
# tran = osr.CoordinateTransformation(origin, target)
#
# geo_left_top = tran.TransformPoint(geo[0], geo[3])
# geo_right_buttom = tran.TransformPoint(geo[0] + geo[1] * image.RasterXSize,
# geo[3] + geo[5] * image.RasterYSize)
#
# geo_origin_extent = [geo_left_top[1], geo_right_buttom[0], geo_right_buttom[1], geo_left_top[0]]
info = {"band_count": band_count,
"band_view":"[1,2,3]" if band_count>=3 else "[1,1,1]",
"overview_count": count,
"path":image_info["path"],
"xy_size": [image.RasterXSize, image.RasterYSize],
"origin_extent": origin_extent,
# "geo_origin_extent": geo_origin_extent,
"null_value": nodatavalue,
"size":os.path.getsize(image_info["path"]),
"sr_wkt": image.GetProjection(),
"epsg": authority_code,
"sr_proj4": origin.ExportToProj4(),
"cell_x_size": geo[1],
"cell_y_size": geo[5]
}
infos.append(info)
del image
else:
thrift_connect = ThriftConnect(data_server)
image_paths = list(self.recur_paths_remote(paths,thrift_connect.client))
for image_info in image_paths:
infos.append(json.loads(thrift_connect.client.getInfo(image_info["path"])))
thrift_connect.close()
this_time = datetime.datetime.now()
for info in infos:
# 影像空间范围
# if not info["origin_extent"]:
# if not self.para.get("extent"):
# res["result"] = False
# res["msg"] = "数据解析范围失败，请手动输入范围"
# return res
# else :
# origin_extent=json.loads(self.para.get("extent"))
# else:
# origin_extent = info["origin_extent"]
exist_image = Image.query.filter_by(path=os.path.normpath(info.get("path")),
size=info.get("size")).one_or_none()
if exist_image:
if exist_image.server.__contains__(data_server):
pass
else:
Image.query.filter_by(path=os.path.normpath(info.get("path")),
size=info.get("size")).update({"server":"{},{}".format(exist_image.server,data_server)})
else:
img:Image = Image(guid= uuid.uuid1().__str__(),
overview_count=info.get("overview_count"),
raster_x_size=info["xy_size"][0],
raster_y_size=info["xy_size"][1],
cell_x_size = info.get("cell_x_size"),
cell_y_size = abs(info.get("cell_y_size")),
name=os.path.basename(info.get("path")),
alias = os.path.basename(info.get("path")),
extent=json.dumps(info["origin_extent"]),
null_value=info.get("null_value"),
server=data_server,
path = os.path.normpath(info.get("path")),
size=info.get("size"),
crs = str(info.get("crs")),
crs_wkt = info.get("crs_wkt"),
crs_proj4= info.get("crs_proj4"),
band_count=info.get("band_count"),
band_view = "[1,2,3]" if info.get("band_count")>=3 else "[1,1,1]",
create_time=this_time,
update_time=this_time,
type = ImageType.get_type(info.get("path"))
)
for tag in tags:
img.image_tags.append(tag)
db.session.add(img)
db.session.commit()
res["result"] = True
except Exception as e:
raise e
return res
def recur_paths_local(self,paths):
for path in paths:
if path["type"].__eq__("dir"):
data_list: list = []
for f in os.listdir(path["path"]):
file_path = os.path.normpath(os.path.join(path["path"], f))
file_info = {"name": f, "path": file_path}
if file_path.lower().endswith("tiff") or file_path.lower().endswith("tif"):
file_info["type"] = "tif"
data_list.append(file_info)
elif file_path.lower().endswith("img"):
file_info["type"] = "img"
data_list.append(file_info)
elif os.path.isdir(file_path):
file_info["type"] = "dir"
data_list.append(file_info)
for p in self.recur_paths_local(data_list):
yield p
else:
yield path
def recur_paths_remote(self,paths,client):
for path in paths:
if path["type"].__eq__("dir"):
path_list = json.loads(client.getImageList(path["path"]))
for p in self.recur_paths_remote(path_list,client):
yield p
else:
yield path
api_doc = {
"tags": ["影像接口"],
"parameters": [
{"name": "data_server",
"in": "formData",
"type": "string",
"description": "data_server"},
{"name": "paths",
"in": "formData",
"type": "string",
"description": "paths"},
{"name": "tags",
"in": "formData",
"type": "string",
"description": "tags以,相隔"}
],
"responses": {
200: {
"schema": {
"properties": {
}
}
}
}
}