def chuli_serial_file(png, mapserver_ip, uu, wroot):
print(png)
rrxlsx_file = os.path.join(wroot, png)
map_mata = helper.xlsx2dict(rrxlsx_file)
data_apth = ''
for x in map_mata:
for key in x:
if key == 'data':
data_apth = x[key]
if '[' in data_apth:
print('-' * 40)
print(data_apth)
qq = data_apth.index('[')
hh = data_apth.index(']')
sig_q = data_apth[:qq]
sig_h = data_apth[hh + 1:]
print(sig_q)
print(sig_h)
for wwfile in os.listdir(wroot):
if wwfile.startswith(sig_q) and wwfile.endswith(sig_h):
print(wwfile)
the_sig = wwfile[qq:hh - 1]
print(the_sig)
shp = os.path.join(wroot, wwfile)
npng = png.replace('[sig]', the_sig)
print(npng)
gen_imagery4d(npng, mapserver_ip, uu, wroot)
def get_lyr_mapfile(map_dir, wfile, wroot):
'''
得到图层的 Mapfile
'''
# ToDo: 参数 wroot 是否有必要？
rrxlsx_file = os.path.join(wroot, wfile)
print(rrxlsx_file)
t_mts = helper.get_mts(rrxlsx_file)
map_mata = helper.xlsx2dict(rrxlsx_file)
data_apth = ''
for x in map_mata:
for key in x:
if key == 'data':
data_apth = x[key]
lyrs_file = []
if '[' in data_apth:
# print('-' * 40)
print(data_apth)
qq = data_apth.index('[')
hh = data_apth.index(']')
sig_q = data_apth[:qq]
sig_h = data_apth[hh + 1:]
# print(sig_q)
# print(sig_h)
for wwfile in os.listdir(wroot):
if wwfile.startswith(sig_q) and wwfile.endswith(sig_h):
print(wwfile)
the_sig = wwfile[qq:hh - 1]
shp = os.path.join(wroot, wwfile)
lyr_file = generate_lyr_mapfile(map_dir,
map_mata,
shp,
wfile,
t_mts,
sig=the_sig)
lyrs_file.append(lyr_file)
else:
shp = os.path.join(wroot, data_apth)
lyr_file = generate_lyr_mapfile(map_dir, map_mata, shp, wfile, t_mts)
lyrs_file.append(lyr_file)
# pprint(new_layer)
# print(yaml.dump(new_layer))
return lyrs_file
def parse_serial_filename(rrxlsx_file):
'''
对于批量的使用变量的，获取路径，以及位置。
'''
map_mata = helper.xlsx2dict(rrxlsx_file)
data_apth = ''
for mata in map_mata:
for key in mata:
if key == 'data':
data_apth = mata[key]
q_place = data_apth.index('[')
h_place = data_apth.index(']')
return data_apth, h_place, q_place
def method_name(rrxlsx_file):
'''
对于批量的使用变量的，获取路径，以及位置。
'''
map_mata = helper.xlsx2dict(rrxlsx_file)
data_apth = ''
for x in map_mata:
for key in x:
if key == 'data':
data_apth = x[key]
print('-' * 40)
print(data_apth)
qq = data_apth.index('[')
hh = data_apth.index(']')
return data_apth, hh, qq
def get_lyrs_name(category_dir, xlsxfile_name, wroot):
'''
在分类的文件夹下，得到所有图层的名称。
'''
rrxlsx_file = os.path.join(wroot, xlsxfile_name)
print(rrxlsx_file)
map_mata = helper.xlsx2dict(rrxlsx_file)
data_path = ''
for mata in map_mata:
for key in mata:
if key == 'data':
data_path = mata[key]
lyrs_file = []
if '[' in data_path:
# print('-' * 40)
print(data_path)
q_place = data_path.index('[')
h_place = data_path.index(']')
sig_q = data_path[:q_place]
sig_h = data_path[h_place + 1:]
for wwfile in os.listdir(wroot):
if wwfile.startswith(sig_q) and wwfile.endswith(sig_h):
print(wwfile)
the_sig = wwfile[q_place:h_place - 1]
shp = os.path.join(wroot, wwfile)
lyr_file = generate_lyr_mapfile(category_dir,
map_mata,
shp,
xlsxfile_name,
sig=the_sig)
lyrs_file.append(lyr_file)
else:
shp = os.path.join(wroot, data_path)
lyr_file = generate_lyr_mapfile(category_dir, map_mata, shp,
xlsxfile_name)
lyrs_file.append(lyr_file)
return lyrs_file
def dispose_serial_file(file_name, mapserver_ip, mapproxy_mold, wroot):
"""
处理系列文件的方法
"""
data_apth = ''
for meta in helper.xlsx2dict(os.path.join(wroot, file_name)):
for key in meta:
if key == 'data':
data_apth = meta[key]
if '[' in data_apth:
meta_q = data_apth.index('[')
meta_h = data_apth.index(']')
sig_q = data_apth[:meta_q]
sig_h = data_apth[meta_h + 1:]
for wwfile in os.listdir(wroot):
if wwfile.startswith(sig_q) and wwfile.endswith(sig_h):
the_sig = wwfile[meta_q:meta_h - 1]
gdata = file_name.replace('[sig]', the_sig)
gen_imagery4d(gdata, mapserver_ip, mapproxy_mold, wroot)