def _reconnect(**kwargs):
if kwargs is None or kwargs.get("notebook_app") != "jupyterlab":
display(
Javascript(
"""try {IPython.notebook.kernel.reconnect();} catch(err) {;}"""
))
time.sleep(1)
def flush(window_location, **kwargs):
if window_location.startswith(
"http://localhost") or window_location.startswith(
"https://localhost"):
parts = window_location.split('/')
parts.pop()
Help_html.showfiles_base_url = '/'.join(parts)
else:
if Help_html.notebooks_host:
start = Help_html.notebooks_host.find('//') + 2
suffix = '.' + Help_html.notebooks_host[start:]
else:
suffix = '.notebooks.azure.com'
end = window_location.find(suffix)
start = window_location.find('//')
# azure notebook environment, assume template: https://library-user.libray.notebooks.azure.com
if (start > 0 and end > 0):
library, user = window_location[start + 2:end].split('-')
azure_notebooks_host = Help_html.notebooks_host or 'https://notebooks.azure.com'
Help_html.showfiles_base_url = azure_notebooks_host + '/api/user/' + user + '/library/' + library + '/html'
# assume just a remote kernel, as local
else:
parts = window_location.split('/')
parts.pop()
Help_html.showfiles_base_url = '/'.join(parts)
reconnect = False
for text, url in Help_html._pending_helps.items():
Help_html.add_menu_item(text, url, False, **kwargs)
reconnect = True
if reconnect:
display(Javascript("""IPython.notebook.kernel.reconnect();"""))
time.sleep(1)
Help_html._pending_helps = {}
def add_menu_item(text, file_path: str, reconnect=True, **kwargs):
# add help link
if file_path.startswith('http'):
url = file_path
elif Help_html.showfiles_base_url is not None:
url = Help_html.showfiles_base_url + '/' + file_path
else:
url = None
if url:
help_links = get_ipython().kernel._trait_values['help_links']
found = False
for link in help_links:
# if found update url
if link.get('text') == text:
if link.get('url') != url:
link['url'] = url
else:
reconnect = False
found = True
break
if not found:
help_links.append({'text': text, 'url': url})
if reconnect:
display(Javascript("""IPython.notebook.kernel.reconnect();"""))
time.sleep(1)
elif Help_html._pending_helps.get(text) is None:
Help_html._pending_helps[text] = file_path
def __init__(self, width, height, scale, jsSketchFile, SketchClass,
obj_json_convert_func):
viewer_code = pkgutil.get_data("koebe.graphics.js.js",
jsSketchFile).decode("utf8")
display(Javascript(viewer_code))
self._sketch = SketchClass(width=width, height=height, scale=scale)
self._objs = []
self._anim = []
self._styles = {}
self.obj_json_convert_func = obj_json_convert_func
def __init__(self, initial_message=None):
super(Messager, self).__init__()
with open(makePath('Messager', 'widget.js')) as f:
js = f.read()
display(Javascript(js))
if initial_message is not None:
self.message = initial_message
def force_checkpoint():
"""
If in a Jupyter environment, force-saves notebook
"""
from IPython.core.magics.display import Javascript
display(
Javascript('''
require(["base/js/namespace"], function() {
Jupyter.notebook.save_notebook();
});
'''))
time.sleep(0.5)
def prompt_user(self):
self.description_store.before_prompt()
prompt_description_js = dedent("""\
// Guard against re-execution.
if (IPython.notebook.kernel) {
console.log("beginning of js");
var handle_output = function(out){
console.log(out.msg_type);
console.log(out);
var res = null;
if (out.msg_type == "stream"){
res = out.content.text;
}
// if output is a python object
else if(out.msg_type === "execute_result"){
res = out.content.data["text/plain"];
}
// if output is a python error
else if(out.msg_type == "error"){
res = out.content.ename + ": " + out.content.evalue;
}
// if output is something we haven't thought of
else{
res = "[out type not implemented]";
}
console.log(res);
};
var callback = {
iopub: {
output : handle_output,
}
};
var options = {
silent : false,
};
var description = prompt("Set description", "default");
var command = "a.description_store.set_description('" + description + "')";
console.log("executing " + command);
var kernel = IPython.notebook.kernel
kernel.execute(command, callback, options);
console.log("end of js");
}
""")
jso = Javascript(prompt_description_js)
display_javascript(jso)
description = self.description_store.get_description()
print("Description: {}".format(description))
return description
def create_labeled_variables(self, dict_name):
command = """
var kernel = IPython.notebook.kernel;
for (var i=0; i<localStorage.length; i++) {
var key = localStorage.key(i);
var existingItem = localStorage.getItem(key);
var var_name = key;
if (key === null) {
continue
}
var values = existingItem.split(',')
for (var j=0; j<values.length; j++) {
var command = "{dict_name}['" + var_name + "'] += ['" + values[j] + "']";
kernel.execute(command);
kernel.execute("{dict_name}['" + var_name + "'] = list(set({dict_name}['" + var_name + "']))");
}
}
"""
command = command.replace('{dict_name}', dict_name)
return Javascript(command)
def create_labeled_variables(self, label_dict):
"""Inserts labeled entries into a dictonary that can be used in colab.
This function takes a dictionary as input. It extracts labeled examples
stored in localStorage and inserts them into a dictonary.
"""
self.label_dict = label_dict
output.register_callback('notebook.AddListItem', self.add_list_item)
command = """
for (var i=0; i<localStorage.length; i++) {
var key = localStorage.key(i);
var existingItem = localStorage.getItem(key);
var var_name = key;
if (key === null) {
continue
}
google.colab.kernel.invokeFunction('notebook.AddListItem', [key, existingItem], {});
}
"""
return Javascript(command)
def submit_get_notebook_url(self):
if self.notebook_app != "jupyterlab":
display(
Javascript(
"""IPython.notebook.kernel.execute("NOTEBOOK_URL = '" + window.location + "'");"""
))
def __init__(self, shell):
# constants
Configurable.__init__(self, config=shell.config)
Magics.__init__(self, shell=shell)
set_logger(Logger())
get_ipython().magic("matplotlib inline")
# Add ourself to the list of module configurable via %config
self.shell.configurables.append(self)
ip = get_ipython()
kql_magic_load_mode = _get_kql_magic_load_mode()
if kql_magic_load_mode != "silent":
html_str = """<html>
<head>
<style>
.kqlmagic-banner {
display: flex;
background-color: #d9edf7;
}
.kqlmagic-banner > div {
margin: 10px;
padding: 20px;
color: #3a87ad;
font-size: 13px;
}
</style>
</head>
<body>
<div class='kqlmagic-banner'>
<div><img src='data:image/png;base64,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'></div>
<div>
<p>Kusto is a log analytics cloud platform optimized for ad-hoc big data queries. Read more about it here: http://aka.ms/kdocs</p>
<p> • kql language reference: Click on 'Help' tab > and Select 'kql referece'<br>
• Kqlmagic configuarion: Run in cell '%config kqlmagic'<br>
• Kqlmagic syntax: Run in cell '%kql?'<br>
• Kqlmagic upgrate syntax: Run 'pip install git+git://github.com/Microsoft/jupyter-Kqlmagic.git --upgrade'<br>
</div>
</div>
</body>
</html>"""
Display.show_html(html_str)
Display.showInfoMessage(
"""Kqlmagic package is updated frequently. Run pip install Kqlmagic --upgrade to use the latest version.<br>Kqlmagic version: """
+ VERSION +
""", source: https://github.com/Microsoft/jupyter-Kqlmagic""")
# <div><img src='https://az818438.vo.msecnd.net/icons/kusto.png'></div>
_override_default_configuration(ip, kql_magic_load_mode)
root_path = get_ipython().starting_dir.replace("\\", "/")
folder_name = ip.run_line_magic("config", "Kqlmagic.temp_folder_name")
showfiles_folder_Full_name = root_path + "/" + folder_name
if not os.path.exists(showfiles_folder_Full_name):
os.makedirs(showfiles_folder_Full_name)
# ipython will removed folder at shutdown or by restart
ip.tempdirs.append(showfiles_folder_Full_name)
Display.showfiles_base_path = root_path
Display.showfiles_folder_name = folder_name
Display.notebooks_host = Help_html.notebooks_host = os.getenv(
"AZURE_NOTEBOOKS_HOST")
app = ip.run_line_magic("config", "Kqlmagic.notebook_app")
# add help link
add_kql_ref_to_help = ip.run_line_magic(
"config", "Kqlmagic.add_kql_ref_to_help")
if add_kql_ref_to_help:
Help_html.add_menu_item("kql Reference",
"http://aka.ms/kdocs",
notebook_app=app)
if app is None or app != "jupyterlab":
display(
Javascript(
"""IPython.notebook.kernel.execute("NOTEBOOK_URL = '" + window.location + "'");"""
))
time.sleep(5)
def execute_query(self, parsed, user_ns, result_set=None):
if Help_html.showfiles_base_url is None:
# display(Javascript("""IPython.notebook.kernel.execute("NOTEBOOK_URL = '" + window.location + "'")"""))
window_location = user_ns.get("NOTEBOOK_URL")
if window_location is not None:
Help_html.flush(window_location)
else:
display(
Javascript(
"""IPython.notebook.kernel.execute("NOTEBOOK_URL = '" + window.location + "'");"""
))
query = parsed['kql'].strip()
options = parsed['options']
suppress_results = options.get(
'suppress_results', False) and options.get(
'enable_suppress_result', self.enable_suppress_result)
connection_string = parsed['connection']
if options.get('version'):
print('Kqlmagic version: ' + VERSION)
if options.get('popup_help'):
help_url = 'http://aka.ms/kdocs'
# 'https://docs.loganalytics.io/docs/Language-Reference/Tabular-operators'
# 'http://aka.ms/kdocs'
# 'https://kusdoc2.azurewebsites.net/docs/queryLanguage/query-essentials/readme.html'
# import requests
# f = requests.get(help_url)
# html = f.text.replace('width=device-width','width=500')
# Display.show(html, **{"popup_window" : True, 'name': 'KustoQueryLanguage'})
button_text = 'popup kql help '
Display.show_window('KustoQueryLanguage', help_url, button_text)
try:
#
# set connection
#
conn = Connection.get_connection(connection_string)
# parse error
except KqlEngineError as e:
if options.get('short_errors', self.short_errors):
msg = Connection.tell_format(connect_str)
Display.showDangerMessage(str(e))
Display.showInfoMessage(msg)
return None
else:
raise
# parse error
except ConnectionError as e:
if options.get('short_errors', self.short_errors):
Display.showDangerMessage(str(e))
list = Connection.get_connection_list_formatted()
if len(list) > 0:
Display.showInfoMessage(list)
return None
else:
raise
try:
# validate connection
retry_with_code = False
if options.get(
'validate_connection_string',
self.validate_connection_string
) and not conn.options.get('validate_connection_string'):
validation_query = 'range c from 1 to 10 step 1 | count'
try:
raw_table = conn.execute(validation_query)
conn.set_validation_result(True)
except Exception as e:
msg = str(e)
if msg.find('AADSTS50079') > 0 and msg.find(
'multi-factor authentication') > 0 and isinstance(
conn, KustoEngine):
Display.showDangerMessage(str(e))
retry_with_code = True
else:
raise e
if retry_with_code:
Display.showInfoMessage(
'replaced connection with code authentication')
database_name = conn.get_database()
cluster_name = conn.get_cluster()
connection_string = "kusto://code().cluster('" + cluster_name + "').database('" + database_name + "')"
conn = Connection.get_connection(connection_string)
raw_table = conn.execute(validation_query)
conn.set_validation_result(True)
conn.options['validate_connection_string'] = True
if options.get('popup_schema') or (
options.get('auto_popup_schema', self.auto_popup_schema)
and not conn.options.get('auto_popup_schema')):
Database_html.popup_schema(conn)
conn.options['auto_popup_schema'] = True
if not query:
#
# If NO kql query, just return the current connection
#
if not connection_string and Connection.connections and options.get(
'show_conn_list',
self.show_conn_list) and not suppress_results:
Display.showInfoMessage(
Connection.get_connection_list_formatted())
return None
#
# submit query
#
start_time = time.time()
raw_table = conn.execute(query, user_ns)
end_time = time.time()
elapsed_timespan = end_time - start_time
#
# model query results
#
if result_set is None:
saved_result = ResultSet(raw_table, query, options)
saved_result.magic = self
saved_result.parsed = parsed
saved_result.connection = conn.get_name()
else:
saved_result = result_set
saved_result._update(raw_table)
if not connection_string and Connection.connections and options.get(
'show_conn_list', self.show_conn_list):
saved_result.conn_info = Connection.get_connection_list_formatted(
)
saved_result.start_time = start_time
saved_result.end_time = end_time
saved_result.elapsed_timespan = elapsed_timespan
self.shell.user_ns.update({
options.get('last_raw_result_var', self.last_raw_result_var):
saved_result
})
result = saved_result
if options.get('feedback', self.feedback):
minutes, seconds = divmod(elapsed_timespan, 60)
saved_result.info.append(
'Done ({:0>2}:{:06.3f}): {} records'.format(
int(minutes), seconds, saved_result.records_count))
logger().debug("Results: {} x {}".format(
len(saved_result), len(saved_result.columns_name)))
if options.get('columns_to_local_vars',
self.columns_to_local_vars):
#Instead of returning values, set variables directly in the
#users namespace. Variable names given by column names
if options.get('feedback', self.feedback):
saved_result.info.append(
'Returning raw data to local variables [{}]'.format(
', '.join(saved_result.columns_name)))
self.shell.user_ns.update(saved_result.to_dict())
result = None
if options.get('auto_dataframe', self.auto_dataframe):
if options.get('feedback', self.feedback):
saved_result.info.append(
'Returning data converted to pandas dataframe')
result = saved_result.to_dataframe()
if options.get('result_var') and result_set is None:
result_var = options['result_var']
if options.get('feedback', self.feedback):
saved_result.info.append(
'Returning data to local variable {}'.format(
result_var))
self.shell.user_ns.update({
result_var:
result if result is not None else saved_result
})
result = None
if result is None:
return None
if not suppress_results:
if options.get('auto_dataframe', self.auto_dataframe):
Display.showSuccessMessage(saved_result.info)
else:
saved_result.display_info = True
else:
saved_result.suppress_result = True
# Return results into the default ipython _ variable
return result
except Exception as e:
if not connection_string and Connection.connections and options.get(
'show_conn_list',
self.show_conn_list) and not suppress_results:
# display list of all connections
Display.showInfoMessage(
Connection.get_connection_list_formatted())
if options.get('short_errors', self.short_errors):
Display.showDangerMessage(e)
return None
else:
raise e
