image_register.py
7.9 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
# coding=utf-8
#author: 4N
#createtime: 2021/7/19
#email: nheweijun@sina.com
from osgeo import gdal,ogr,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
import math
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"))
#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()
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[0], right_buttom[1], 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,
"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:
exist_image.update({"server":"{},".format(data_server)})
else:
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")),
extent=json.dumps(info["origin_extent"]),
# geo_origin_extent = json.dumps(info["geo_origin_extent"]),
null_value=info.get("null_value"),
server=data_server,
path = os.path.normpath(info.get("path")),
size=info.get("size"),
epsg= info.get("epsg"),
sr_wkt = info.get("sr_wkt"),
sr_proj4= info.get("sr_proj4"),
band_count=info.get("band_count"),
create_time=this_time
)
db.session.add(image)
db.session.commit()
# res["data"] = guid
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"}
],
"responses": {
200: {
"schema": {
"properties": {
}
}
}
}
}