def demo_many_queries(addr, genesis):
eng = DataEngine(addr, genesis)
s = eng.new_session(get_client(), get_signing_key())
for _ in range(0, 15):
submit_inc(s)
print(submit_get(s).result_num())
s.close()
def demo_llamadb(addr, genesis):
eng = DataEngine(addr, genesis)
s = eng.new_session(get_client(), get_signing_key())
print(
submit_query(
s,
"CREATE TABLE users(id int, name varchar(128), age int)").result())
for i in range(0, 20):
submit_query(
s, "INSERT INTO users VALUES(%d, 'User%d', %d)" % (i, i, i + 20))
print(submit_query(s, "SELECT AVG(age) FROM users").result())
s.close()
def _init_dataengine(self):
"""
Creates dataengine object
:return: dataengine
"""
data_engine = DataEngine(self)
return data_engine
def demo_queries(addr,
genesis,
send_wrong=False,
send_closed=True,
session=None):
eng = DataEngine(addr, genesis)
s = eng.new_session(get_client(), get_signing_key(), session)
q0 = submit_inc(s)
q1 = submit_mul(s, 10, 14)
if send_wrong:
qw = submit_wrong_command(s)
q2 = submit_inc(s)
q3 = submit_get(s)
if send_closed:
closed = s.close()
print(q1.result_num())
print(q2.result())
print(q3.result_num())
if send_closed:
print(closed.result())
def __init__(self, collection, rootpath=ROOT_PATH):
DataEngine.__init__(self, collection, rootpath)
tagfile = os.path.join(rootpath, collection, 'TextData', 'id.userid.lemmtags.txt')
self.data = map(str.strip, open(tagfile).readlines())
def _init_dataengine(self):
data_engine = DataEngine(self)
return data_engine
def __init__(self, collection, rootpath=ROOT_PATH):
DataEngine.__init__(self, collection, rootpath)
tagfile = os.path.join(rootpath, collection, 'TextData',
'id.userid.lemmtags.txt')
self.data = map(str.strip, open(tagfile).readlines())
data = log_df[curve_name]
ax.set_xlim(min(data), max(data))
ax.spines['top'].set_position(('outward', 0))
color = 'blue'
ax.plot(data, log_df.index, color=color, label=curve_name)
ax.set_xlabel(curve_name, color=color)
ax.tick_params(axis='x', colors=color)
depthes = [x[0] for x in point_list[i]]
values = [x[1] for x in point_list[i]]
ax.scatter(values, depthes, marker='o', color='R', label='Core')
ax.grid(False)
plt.show()
data_engine = DataEngine()
data_engine.initialize()
data_source = DataSource()
data_source.open("D:\cifplusdemo20120913")
wells = data_source.get_workspace("多井测试数据").get_wells()
logdata = LogData()
logplot = LogPlot()
well = wells[1]
print(well.name)
category = well.get_default_category()
curve_names = category.get_curve1d_names_existed(["sp", "ac", "rt"])
curve1ds = category.get_curve1ds(curve_names)
log_df = logdata.read_curve1ds_to_df(curve1ds)
# logplot.draw_curve1d_df(log_df)
# ac_df =log_df['AC']
def __init__(self, collection, rootpath=ROOT_PATH):
DataEngine.__init__(self, collection)
self.name = '%s.%s' % (self.__class__.__name__, collection)
def __init__(self, collection, rootpath=ROOT_PATH):
DataEngine.__init__(self, collection)
self.name = '%s.%s' % (self.__class__.__name__, collection)