def edit_rules():
"""Edit rules
Edit the rules that process inbound events"""
my_rules = rules.get_all_rules()
my_rules.append(DEFAULT_RULE)
selected_rule_id = select(
label="Existing rules",
options=[{
"label": rule["name"],
"value": rule["id"]
} for rule in my_rules],
)
# Rules have unique IDs from the database:
logging.info(f"selected_rule: {selected_rule_id}")
use_rule = [r for r in my_rules if r["id"] == int(selected_rule_id)][0]
updated_rule = input_group(
"Rule editing",
[
input("name",
type=TEXT,
name="name",
value=use_rule["name"],
required=True), # Need ttextarea(
textarea(
"Rule names",
name="rule",
rows=10,
code={
"mode": "python", # code language
"theme":
"darcula", # Codemirror theme. Visit https://codemirror.net/demo/theme.html#cobalt to get more themes
},
value=f"""{use_rule['rule']}\n""",
),
actions(
"actions",
[
# {"label": "test", "value": "test"},
{
"label": "save",
"value": "save"
},
],
name="action",
help_text="Save",
),
],
)
if updated_rule is not None:
rl = dict(updated_rule)
if rl["action"] == "save":
rule_info = rules.save_rule(rl["name"], rl["rule"],
selected_rule_id)
put_row(put_text("Rule"))
put_row(put_code(pprint.pformat(rule_info, indent=1)))
# Use webhook_info's ID to add/update the extractor
put_text(f"The rule added is: {updated_rule}")
def index():
print("run")
put_text("12345")
out = output()
put_scrollable(out, keep_bottom=True)
while True:
il = input_group("233", [input(name="aaa", value="23456")])
outp(out, il)
def main():
"""PyWebIO聊天室
和当前所有在线的人聊天
"""
global chat_msgs
run_js("alert('233')")
put_markdown(
"## PyWebIO聊天室\n欢迎来到聊天室，你可以和当前所有在线的人聊天。你可以在浏览器的多个标签页中打开本页面来测试聊天效果。"
"本应用使用不到80行代码实现，源代码[链接](https://github.com/wang0618/PyWebIO/blob/dev/demos/chat_room.py)",
lstrip=True)
msg_box = output()
put_scrollable(msg_box, height=300, keep_bottom=True)
nickname = input("请输入你的昵称",
required=True,
validate=lambda n: '昵称已被使用'
if n in online_users or n == '📢' else None)
online_users.add(nickname)
chat_msgs.append(
('📢', '`%s`加入聊天室. 当前在线人数 %s' % (nickname, len(online_users))))
msg_box.append(
put_markdown('`📢`: `%s`加入聊天室. 当前在线人数 %s' %
(nickname, len(online_users))))
@defer_call
def on_close():
online_users.remove(nickname)
chat_msgs.append(
('📢', '`%s`退出聊天室. 当前在线人数 %s' % (nickname, len(online_users))))
refresh_task = run_async(refresh_msg(nickname, msg_box))
while True:
data = input_group('发送消息', [
input(name='msg', help_text='消息内容支持行内Markdown语法'),
actions(name='cmd',
buttons=['发送', '多行输入', {
'label': '退出',
'type': 'cancel'
}])
],
validate=lambda d: ('msg', '消息不为空')
if d['cmd'] == '发送' and not d['msg'] else None)
if data is None:
break
if data['cmd'] == '多行输入':
data['msg'] = '\n' + textarea('消息内容', help_text='消息内容支持Markdown语法')
msg_box.append(
put_markdown('`%s`: %s' % (nickname, data['msg']), sanitize=True))
chat_msgs.append((nickname, data['msg']))
refresh_task.close()
toast("你已经退出聊天室")
def demo():
inputs = input_group("Salary Prediction", [
input("Enter your age: ", type=NUMBER, name='age'),
input("Enter your years of experience: ", type=NUMBER, name="year_exp")
])
if (inputs["age"] >= 16
and inputs["age"] <= 20) and (inputs["year_exp"] <= 1):
put_text("Your Expected Salary: {}".format(10000))
elif (inputs["age"] >= 21
and inputs["age"] <= 26) and (inputs["year_exp"] >= 2
and inputs["year_exp"] < 5):
put_text("Your Expected Salary: {}".format(40000))
elif (inputs["age"] >= 27) and (inputs["year_exp"] >= 5):
put_text("Your Expected Salary: {}".format(90000))
else:
put_text("Not in scoped rules!")
def getInfo():
info = input_group("Fuqaro haqida ma'lumot", [
input('Ism', name='ism'),
input(
'Familiya',
name='familiya',
),
input(
'Otasining ismi',
name='otasi',
),
input(
"Tug'ilgan yil",
name='tyil',
),
input(
"Tug'ilgan kun",
name='tkun',
),
input(
"Tug'ilgan oy",
name='toy',
),
input(
'Telefon raqami',
name='telefon',
),
input(
'Pasport seriyasi',
name='seriya',
),
input(
'Pasport raqami',
name='pass_raqam',
),
input(
'Passport berilgan sana',
name='pass_sana',
)
])
return info
def loop():
while True:
data = input_group(inputs=get_inputs())
if data is None:
save()
break
if data['action'] == 'Next':
modified[V.lang][f'{V.group}.{V.arg}.{V.key}'] = data[
V.lang].replace("\\n", "\n")
deep_set(dict_lang[V.lang], f'{V.group}.{V.arg}.{V.key}',
data[V.lang].replace("\\n", "\n"))
next_key()
if data['action'] == 'Skip':
next_key()
elif data['action'] == 'Submit':
modified[V.lang][f'{V.group}.{V.arg}.{V.key}'] = data[
V.lang].replace("\\n", "\n")
deep_set(dict_lang[V.lang], f'{V.group}.{V.arg}.{V.key}',
data[V.lang].replace("\\n", "\n"))
continue
def bmi_app():
name=input("Whats Your name")
put_text('Hi, welcome to our website', name)
user_info=input_group("User_info",[input('Whats Your age?',name='age',type=FLOAT)
])
if user_info['age']<16:
put_warning('Sorry You cant access our website')
else:
put_success('Congrats, You can use our website!')
height = input("Input your height(cm)：", type=FLOAT)
weight = input("Input your weight(kg)：", type=FLOAT)
BMI = weight / (height / 100) ** 2
top_status = [(16, 'Severely underweight'), (18.5, 'Underweight'),
(25, 'Normal'), (30, 'Overweight'),
(35, 'Moderately obese'), (float('inf'), 'Severely obese')]
for top, status in top_status:
if BMI <= top:
put_text('Your BMI: %.1f. Category: %s' % (BMI, status))
break
def setting():
data = input_group(inputs=[
select(name='language',
label='Language',
options=LANGUAGES,
value=V.lang,
required=True),
checkbox(
name='check',
label='Other settings',
options=[{
"label": 'Button [Next] only shows untranslated key',
'value': 'untranslated',
'selected': V.untranslated_only
}, {
"label":
'Do not fill input with old value (only effect the language you selected)',
"value": "clear",
"selected": V.clear
}])
])
V.lang = data['language']
V.untranslated_only = True if 'untranslated' in data['check'] else False
V.clear = True if 'clear' in data['check'] else False
def edit_webhook():
"""Edit webhook and its extractor
This should be changed to work with a programattically named
webhook that has a randmoly named inbound address. For now, we
name it I guess
"""
my_hooks = extractions.get_all_webhooks()
my_hooks.append({
"id": 0,
"name": "Your new webhook could go here!",
"path": "Enter the path that this will be matched on",
"queue_name": "base name for the queue",
})
selected_hook_id = select(
label="Existing webhooks",
options=[{
"label": hook.get("name", "No hook name found"),
"value": hook.get("id", 0),
} for hook in my_hooks],
)
# Rules have unique IDs from the database:
logging.info(f"selected_hook: {selected_hook_id}")
my_hook = dict()
my_extractor = dict()
my_hook.update(DEFAULT_HOOK)
my_extractor.update(DEFAULT_EXTRACTOR)
if selected_hook_id != 0:
my_hook = extractions.get_webhook(selected_hook_id)
my_extractor = extractions.get_hook_extractor(selected_hook_id)
# TODO: update validator to avoid default hook 0 names
updated_extractor = input_group(
"Hook data and hook extractor",
[
input("name",
type=TEXT,
name="name",
value=my_hook["name"],
required=True), # Need to get a way to carry around the IDs
input("path",
type=TEXT,
name="path",
value=my_hook["path"],
required=True), # Need to get a way to carry around the IDs
input(
"queue_name",
type=TEXT,
name="queue_name",
value=my_hook["queue_name"],
required=True,
), # Need to get a way to carry around the IDs
textarea(
"Example message",
name="example",
rows=10,
code={
"mode": "python", # code language
"theme":
"darcula", # Codemirror theme. Visit https://codemirror.net/demo/theme.html#cobalt to get more themes
},
value=my_extractor["example"],
),
textarea(
"Edit an extraction rule",
name="extractor",
rows=10,
code={
"mode": "python", # code language
"theme":
"darcula", # Codemirror theme. Visit https://codemirror.net/demo/theme.html#cobalt to get more themes
},
value=my_extractor["extractor"],
),
actions(
"actions",
[
{
"label": "test",
"value": "test"
},
{
"label": "save",
"value": "save"
},
],
name="action",
help_text="Save or test",
),
],
validate=test_extractor,
)
# Pretty much can't be none, but let's follow the example from
# https://pywebio.readthedocs.io/en/latest/input.html#pywebio.input.actions
if updated_extractor is not None:
uex = dict(updated_extractor)
if uex["action"] == "save":
webhook_info = extractions.save_webhook(selected_hook_id,
uex["name"], uex["path"],
uex["queue_name"])
extractor_info = extractions.save_extractor(
uex["name"], webhook_info["id"], uex["extractor"],
uex["example"])
put_row(put_text("Webhook"))
put_row(put_code(pprint.pformat(webhook_info, indent=1)))
put_row(put_text("Extractor"))
put_row(put_code(pprint.pformat(extractor_info, indent=1)))
#!/usr/bin/env python3
# vim: set fileencoding=utf-8
import pywebio.input as inp
import pywebio.output as out
# Body Mass Index calculator
info = inp.input_group("Entry", [
inp.input("Mass (kg)", name="mass", type=inp.NUMBER, required=True),
inp.input("Height (cm)", name="height", type=inp.NUMBER, required=True)
])
mass = info["mass"]
height = info["height"]
# převod výšky na metry
height = height / 100.0
# výpočet (bez jakýchkoli kontrol)
bmi = mass / (height * height)
# výpis výsledku
out.put_info("BMI = ", bmi)
#!/usr/bin/env python3
# vim: set fileencoding=utf-8
import pywebio.input as inp
import pywebio.output as out
# Body Mass Index calculator
info = inp.input_group("Entry", [
inp.input("Mass (kg)", name="mass"),
inp.input("Height (cm)", name="height")
])
mass = float(info["mass"])
height = float(info["height"])
# převod výšky na metry
height = height / 100.0
# výpočet (bez jakýchkoli kontrol)
bmi = mass / (height * height)
# výpis výsledku
out.put_info("BMI = ", bmi)