def get_path(_type):
"""Read paths.json file from non-volatile storage"""
wf = Workflow()
with open(wf.datafile("paths.json"), "r") as f:
_paths = json.load(f)
f.close()
return to_unicode(_paths[_type])
def get_path(_type):
"""Read paths.json file from non-volatile storage"""
wf = Workflow()
with open(wf.datafile("paths.json"), 'r') as f:
_paths = json.load(f)
f.close()
return to_unicode(_paths[_type])
def check_cache():
"""Does the cache need to be updated?"""
wf = Workflow()
update = False
spot = None
### Step One: Check if cloned .sqlite database is up-to-date with Zotero database
zotero_mod = os.stat(get_path("database_path"))[8]
clone_mod = os.stat(wf.datafile("zotquery.sqlite"))[8]
if zotero_mod > clone_mod:
update = True
spot = "Clone"
# Step Two: Check if JSON cache is up-to-date with the cloned database
cache_mod = os.stat(wf.datafile("zotero_db.json"))[8]
if (cache_mod - clone_mod) > 10:
update = True
spot = "JSON"
return [update, spot]
def check_cache():
"""Does the cache need to be updated?"""
wf = Workflow()
update = False
spot = None
### Step One: Check if cloned .sqlite database is up-to-date with Zotero database
zotero_mod = os.stat(get_path('database_path'))[8]
clone_mod = os.stat(wf.datafile('zotquery.sqlite'))[8]
if zotero_mod > clone_mod:
update = True
spot = "Clone"
# Step Two: Check if JSON cache is up-to-date with the cloned database
cache_mod = os.stat(wf.datafile('zotero_db.json'))[8]
if (cache_mod - clone_mod) > 10:
update = True
spot = u"JSON"
return [update, spot]
def test_delete_data(info2):
"""Magic: delete data"""
with WorkflowMock(['script', 'workflow:deldata']):
wf = Workflow()
testpath = wf.datafile('file.test')
with open(testpath, 'wb') as fp:
fp.write('test!')
assert os.path.exists(testpath)
# Process magic arguments
wf.args
assert not os.path.exists(testpath)
def test_reset(info2):
"""Magic: reset"""
with WorkflowMock(['script', 'workflow:reset']):
wf = Workflow()
wf.settings['key'] = 'value'
datatest = wf.datafile('data.test')
cachetest = wf.cachefile('cache.test')
settings_path = wf.datafile('settings.json')
for p in (datatest, cachetest):
with open(p, 'wb') as file_obj:
file_obj.write('test!')
for p in (datatest, cachetest, settings_path):
assert os.path.exists(p)
# Process magic arguments
wf.args
for p in (datatest, cachetest, settings_path):
assert not os.path.exists(p)
def test_reset(info2):
"""Magic: reset"""
with WorkflowMock(['script', 'workflow:reset']):
wf = Workflow()
wf.settings['key'] = 'value'
datatest = wf.datafile('data.test')
cachetest = wf.cachefile('cache.test')
settings_path = wf.datafile('settings.json')
for p in (datatest, cachetest):
with open(p, 'wb') as file_obj:
file_obj.write('test!')
for p in (datatest, cachetest, settings_path):
assert os.path.exists(p)
# Process magic arguments
wf.args
for p in (datatest, cachetest, settings_path):
assert not os.path.exists(p)
def test_delete_data(info2):
"""Magic: delete data"""
with WorkflowMock(['script', 'workflow:deldata']):
wf = Workflow()
testpath = wf.datafile('file.test')
with open(testpath, 'wb') as fp:
fp.write('test!')
assert os.path.exists(testpath)
# Process magic arguments
wf.args
assert not os.path.exists(testpath)
def test_reset(infopl):
"""Magic: reset"""
with WorkflowMock(["script", "workflow:reset"]):
wf = Workflow()
wf.settings["key"] = "value"
datatest = wf.datafile("data.test")
cachetest = wf.cachefile("cache.test")
settings_path = wf.datafile("settings.json")
for p in (datatest, cachetest):
with open(p, "w") as file_obj:
file_obj.write("test!")
for p in (datatest, cachetest, settings_path):
assert os.path.exists(p)
# Process magic arguments
wf.args
for p in (datatest, cachetest, settings_path):
assert not os.path.exists(p)
wf.reset()
def test_delete_data(infopl):
"""Magic: delete data"""
with WorkflowMock(["script", "workflow:deldata"]):
wf = Workflow()
testpath = wf.datafile("file.test")
with open(testpath, "w") as fp:
fp.write("test!")
assert os.path.exists(testpath)
# Process magic arguments
wf.args
assert not os.path.exists(testpath)
wf.reset()
reload(sys)
sys.setdefaultencoding('utf-8')
wf = Workflow()
'''
全局变量
'''
dt_headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36',
'Accept-Encoding': 'gzip, deflate, br',
'Referer': 'https://duotai.love/login'
}
dt_file_name = wf.datafile('cookie.txt')
'''
转换容量单位,size 为B 基本单位
'''
def convert_size(size):
flag = False
if (size == 0):
return '0B'
# 处理负数的情况
if (size < 0):
size = size * -1
flag = True
size_name = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
i = int(math.floor(math.log(size, 1024)))
# encoding: utf-8
import glob
import hashlib
import os
import sys
from workflow import Workflow, ICON_SYNC, ICON_WARNING, web
workflow = Workflow()
repo_dir = workflow.datafile("gitignore")
def main(wf):
if len(sys.argv) < 2:
print "No templates were selected, so nothing was built."
return
if not os.path.isdir(repo_dir):
print "Please run gitignore-update first to download the templates."
templates = sys.argv[1:]
tmp_file_name = hashlib.md5(" ".join(templates)).hexdigest()
tmp_file_path = "/tmp/" + tmp_file_name
if os.path.isfile(tmp_file_path):
os.system("open %s" % tmp_file_path)
return
formatted_templates = set()
# encoding: utf-8
import os
import re
import sys
from sh import git, pwd, sh
from workflow import Workflow, ICON_SYNC, web
workflow = Workflow()
repo_dir = workflow.datafile("gitignore")
def main(wf):
"""
Run script.
This script checks whether or not the gitignore repository has already been
cloned, and either clones it or pulls the latest changes from the remote
repository. In both cases, the list of templates is stored in the persistent
storage provided by the Workflow's data API.
"""
if not os.path.isdir(repo_dir):
clone_repo()
else:
pull_repo()
update_templates()
print "Templates have been successfully updated."
