/
results.py
1690 lines (1329 loc) · 77.4 KB
/
results.py
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# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import copy
import functools
import operator
import csv
import codecs
import os.path
import re
import uuid
import base64
import six
import prettytable
import plotly
import plotly.graph_objs as go
from .log import logger
from .version import VERSION as kqlmagic_version
from .constants import VisualizationKeys, VisualizationValues, VisualizationScales, VisualizationLegends, VisualizationSplits, VisualizationKinds
from .my_utils import adjust_path
from .column_guesser import ColumnGuesserMixin
from .display import Display
from .palette import Palette, Palettes
from .ipython_api import IPythonAPI
def _unduplicate_field_names(field_names):
"""Append a number to duplicate field names to make them unique. """
res = []
for k in field_names:
if k in res:
i = 1
while k + "_" + str(i) in res:
i += 1
k += "_" + str(i)
res.append(k)
return res
class UnicodeWriter(object):
"""
A CSV writer which will write rows to CSV file "f",
which is encoded in the given encoding.
"""
# Object constructor
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
# Redirect output to a queue
self.queue = six.StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = codecs.getincrementalencoder(encoding)()
def writerow(self, row):
if six.PY2:
_row = [s.encode("utf-8") if hasattr(s, "encode") else s for s in row]
else:
_row = row
self.writer.writerow(_row)
# Fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
if six.PY2:
data = data.decode("utf-8")
# ... and reencode it into the target encoding
data = self.encoder.encode(data)
# write to the target stream
self.stream.write(data)
# empty queue
self.queue.truncate(0)
self.queue.seek(0)
def writerows(self, rows):
for row in rows:
self.writerow(row)
class FileResultDescriptor(bytes):
"""Provides Notebook-friendly output for the feedback after a ``.csv`` called."""
# requires ocra
# for eps - also requires poppler
FILE_BINARY_FORMATS = ["png", "pdf", "jpeg", "jpg", "eps"]
FILE_STRING_FORMATS = ["svg", "webp", "csv"]
@staticmethod
def get_format(file, format=None):
if format is None and file is not None and isinstance(file, str):
parts = file.split(".")
if len(parts) > 1:
f = parts[-1]
if f in FileResultDescriptor.FILE_BINARY_FORMATS or f in FileResultDescriptor.FILE_STRING_FORMATS:
return f
return format
# Object constructor
def __new__(cls, file_or_image, message=None, format=None, show=False):
if isinstance(file_or_image, bytes):
return super(FileResultDescriptor, cls).__new__(cls, file_or_image)
else:
return super(FileResultDescriptor, cls).__new__(cls)
def __init__(self, file_or_image, message=None, format=None, show=False):
if isinstance(file_or_image, bytes):
self.show = True
self.file_or_image = file_or_image
self.show = show
self.is_image = isinstance(file_or_image, bytes)
self.message = message or ("image" if self.is_image else file_or_image)
self.format = self.get_format(file_or_image, format)
def _get_data(self):
if self.is_image:
return self if self.format in FileResultDescriptor.FILE_BINARY_FORMATS else "".join(chr(x) for x in self)
else:
# print(f">>> {self._file_location_message()}")
filename = adjust_path(self.file_or_image)
return open(filename, "rb" if self.format in self.FILE_BINARY_FORMATS else "r").read()
def _file_location_message(self):
file_location = os.path.join(os.path.abspath("."), self.file_or_image)
return f"{self.message} at {file_location}"
# Printable unambiguous presentation of the object
def __repr__(self):
if self.is_image:
return "".join(chr(x) for x in self)
elif self.show:
return str(self._get_data())
else:
return self._file_location_message()
# html presentation of the object
def _repr_html_(self):
if self.show and self.format == "html":
return self._get_data()
if not self.show and not self.is_image:
href = os.path.join(".", "files", self.file_or_image)
return f'<a href="{href}" download>{self.message}</a>'
def _repr_png_(self):
if self.show and self.format == "png":
# print("_repr_png_")
return self._get_data()
def _repr_jpeg_(self):
if self.show and (self.format == "jpeg" or self.format == "jpg"):
return self._get_data()
def _repr_svg_(self):
if self.show and self.format == "svg":
return self._get_data()
def _repr_webp_(self):
if self.show and self.format == "webp":
return self._get_data()
def _repr_pdf_(self):
if self.show and self.format == "pdf":
return self._get_data()
def _repr_eps_(self):
if self.show and self.format == "eps":
return self._get_data()
def _nonbreaking_spaces(match_obj):
"""
Make spaces visible in HTML by replacing all `` `` with `` ``
Call with a ``re`` match object. Retain group 1, replace group 2
with nonbreaking speaces.
"""
spaces = " " * len(match_obj.group(2))
return f"{match_obj.group(1)}{spaces}"
class ResultSet(list, ColumnGuesserMixin):
"""
Results of a query.
Can access rows listwise, or by string value of leftmost column.
"""
is_matplotlib_intialized = False
# Object constructor
def __init__(self, metadata, queryResult, fork_table_id=0, fork_table_resultSets={}):
# self.current_colors_palette = ['rgb(184, 247, 212)', 'rgb(111, 231, 219)', 'rgb(127, 166, 238)', 'rgb(131, 90, 241)']
self.fork_table_id = fork_table_id
self._fork_table_resultSets = fork_table_resultSets
# set by caller
self.feedback_info = []
self.feedback_warning = []
self._suppress_next_repr_html_=None
self.display_info = True
self.suppress_result = False
self.update_obj(metadata, queryResult)
def _update_metadata(self, metadata: dict):
self._metadata = metadata
self.parametrized_query_obj = metadata.get('parametrized_query_obj')
self.options = metadata['parsed'].get('options') or {}
self.conn = metadata.get('conn')
def _get_palette(self, n_colors=None, desaturation=None):
name = self.options.get("palette_name")
length = max(n_colors or 10, self.options.get("palette_colors") or 10)
self._metadata["palette"] = Palette(
palette_name=name,
n_colors=length,
desaturation=desaturation or self.options.get("palette_desaturation"),
to_reverse=self.options.get("palette_reverse"),
)
return self.palette
def get_color_from_palette(self, idx, n_colors=None, desaturation=None):
palette = self.palette or self._get_palette(n_colors, desaturation)
if idx < len(palette):
return str(palette[idx])
return None
# Public API
@property
def parametrized_query(self):
return self.parametrized_query_obj.pretty_query
# Public API
@property
def query(self):
return self._metadata.get("parsed").get("query").strip()
# Public API
@property
def plotly_fig(self):
return self._metadata.get("chart_figure")
# Public API
@property
def palette(self):
return self._metadata.get("palette")
# Public API
@property
def palettes(self):
return Palettes(n_colors=self.options.get("palette_colors"), desaturation=self.options.get("palette_desaturation"))
# Public API
@property
def connection(self):
return self._metadata.get("connection")
# Public API
@property
def start_time(self):
return self._metadata.get("start_time")
# Public API
@property
def end_time(self):
return self._metadata.get("end_time")
# Public API
@property
def elapsed_timespan(self):
return self.end_time - self.start_time
# Public API
@property
def visualization(self):
return self.visualization_properties.get(VisualizationKeys.VISUALIZATION)
# Public API
@property
def title(self):
return self.visualization_properties.get(VisualizationKeys.TITLE)
# Public API
def deep_link(self, qld_param: str=None):
if (qld_param and qld_param not in ["Kusto.Explorer", "Kusto.WebExplorer"]):
raise ValueError('Unknow deep link destination, the only supported are: ["Kusto.Explorer", "Kusto.WebExplorer"]')
_options = {**self.options, "query_link_destination": qld_param } if qld_param else self.options
deep_link_url = self.conn.get_deep_link(self.parametrized_query_obj.query, options=_options)
# only use deep links for kusto connection
if deep_link_url is not None:
logger().debug("ResultSet::deep_link - url: {deep_link_url}")
qld = _options.get("query_link_destination").lower().replace('.', '_')
close_window_timeout_in_secs = 60 if _options.get("query_link_destination") == "Kusto.Explorer" else None
# close opening window only for Kusto.Explorer app, for Kusto.WebExplorer leave window
html_obj = Display.get_show_deeplink_html_obj(f"query_link_{qld}", deep_link_url, close_window_timeout_in_secs, options=_options)
return html_obj
else:
raise ValueError('Deep link not supported for this connection, only Azure Data Explorer connections are supported')
return None
def _update_query_results(self, queryResult):
self._queryResult = queryResult
self._completion_query_info = queryResult.completion_query_info
self._completion_query_resource_consumption = queryResult.completion_query_resource_consumption
self._dataSetCompletion = queryResult.dataSetCompletion
self._json_response = queryResult.json_response
queryResultTable = queryResult.tables[self.fork_table_id]
self._dataframe = None
# schema
self.columns_name = queryResultTable.keys()
self.columns_type = queryResultTable.types()
self.columns_datafarme_type = queryResultTable.datafarme_types
self.field_names = _unduplicate_field_names(self.columns_name)
# table printing style to any of prettytable's defined styles (currently DEFAULT, MSWORD_FRIENDLY, PLAIN_COLUMNS, RANDOM)
prettytable_style = prettytable.__dict__[self.options.get("prettytable_style", "DEFAULT").upper()]
self.pretty = PrettyTable(self.field_names, style=prettytable_style) if len(self.field_names) > 0 else None
self.records_count = queryResultTable.recordscount()
self.is_partial_table = queryResultTable.ispartial()
self.visualization_properties = queryResultTable.visualization_properties
# table
auto_limit = 0 if not self.options.get("auto_limit") else self.options.get("auto_limit")
if queryResultTable.returns_rows():
if auto_limit > 0:
list.__init__(self, queryResultTable.fetchmany(size=auto_limit))
else:
list.__init__(self, queryResultTable.fetchall())
else:
list.__init__(self, [])
self._fork_table_resultSets[str(self.fork_table_id)] = self
def update_obj(self, metadata, queryResult):
self._update_metadata(metadata)
self._update_query_results(queryResult)
def _create_fork_results(self):
if self.fork_table_id == 0 and len(self._fork_table_resultSets) == 1:
for fork_table_id in range(1, len(self._queryResult.tables)):
r = ResultSet(self._metadata, self._queryResult, fork_table_id=fork_table_id, fork_table_resultSets=self._fork_table_resultSets)
if r.options.get("feedback"):
if r.options.get("show_query_time"):
minutes, seconds = divmod(self.elapsed_timespan, 60)
r.feedback_info.append("Done ({:0>2}:{:06.3f}): {} records".format(int(minutes), seconds, r.records_count))
def _update_fork_results(self):
if self.fork_table_id == 0:
for r in self._fork_table_resultSets.values():
if r != self:
r.update_obj(self._metadata, self._queryResult)
r.feedback_info = []
r.feedback_warning = []
r.display_info = True
r.suppress_result = False
if r.options.get("feedback"):
if r.options.get("show_query_time"):
minutes, seconds = divmod(self.elapsed_timespan, 60)
r.feedback_info.append("Done ({:0>2}:{:06.3f}): {} records".format(int(minutes), seconds, r.records_count))
def fork_result(self, fork_table_id=0):
# return self._fork_table_resultSets.get(str(fork_table_id))
return self._fork_table_resultSets[str(fork_table_id)]
@property
def raw_json(self):
return Display.to_json_styled_class(self._json_response, options=self.options)
@property
def completion_query_info(self):
return Display.to_json_styled_class(self._completion_query_info, options=self.options)
@property
def completion_query_resource_consumption(self):
return Display.to_json_styled_class(self._completion_query_resource_consumption, options=self.options)
@property
def dataSetCompletion(self):
return Display.to_json_styled_class(self._dataSetCompletion, options=self.options)
# IPython html presentation of the object
def _repr_html_(self):
self.show_result()
return ""
def show_result(self, suppress_next_repr_html_=None):
suppress_current_repr_html_ = self._suppress_next_repr_html_
self._suppress_next_repr_html_ = suppress_next_repr_html_
if suppress_current_repr_html_:
return ""
if not self.suppress_result:
feedback_warning = self.feedback_warning if self.display_info else None
conn_info = self._metadata.get("conn_info") if self.display_info else None
parametrized_query = self.parametrized_query_obj.query if self.display_info and self.options.get("show_query") else None
feedback_info = self.feedback_info if self.display_info else None
Display.showWarningMessage(feedback_warning, display_handler_name='feedback_warning', **self.options)
Display.showInfoMessage(conn_info, display_handler_name='conn_info', **self.options)
Display.showInfoMessage(parametrized_query, display_handler_name='parametrized_query', **self.options)
if self.is_chart():
self.show_chart(**self.options, display_handler_name='table_or_chart')
else:
self.show_table(**self.options, display_handler_name='table_or_chart')
Display.showInfoMessage(feedback_info, display_handler_name='feedback_info', **self.options)
if self.display_info and self.options.get("show_query_link"):
self.show_button_to_deep_link(display_handler_name='deep_link')
else:
Display.showInfoMessage(None, display_handler_name='deep_link', **self.options)
else:
Display.showWarningMessage(None, display_handler_name='feedback_warning', **self.options)
Display.showInfoMessage(None, display_handler_name='conn_info', **self.options)
Display.showInfoMessage(None, display_handler_name='parametrized_query', **self.options)
Display.showInfoMessage(None, display_handler_name='table_or_chart', **self.options)
Display.showInfoMessage(None, display_handler_name='feedback_info', **self.options)
Display.showInfoMessage(None, display_handler_name='deep_link', **self.options)
# display info only once
self.display_info = False
# suppress results info only once
self.suppress_result = False
return ""
def show_button_to_deep_link(self, browser=False, display_handler_name=None):
close_window_timeout_in_secs = 60 if self.options.get("query_link_destination") == "Kusto.Explorer" else None
deep_link_url = self.conn.get_deep_link(self.parametrized_query_obj.query, options=self.options)
if deep_link_url is not None: #only use deep links for kusto connection
logger().debug(f"ResultSet::show_button_to_deep_link - url: {deep_link_url}")
import urllib.parse
# nteract cannot execute deep link script, workaround using temp_file_server webbrowser
if self.options.get("notebook_app") in ["nteract"]:
if self.options.get("kernel_location") != "local" or self.options.get("temp_files_server_address") is None:
return None
qld = self.options.get("query_link_destination").lower().replace('.', '_')
deep_link_url = Display.get_show_deeplink_webbrowser_html_obj(f"query_link_{qld}", deep_link_url, close_window_timeout_in_secs, options=self.options)
deep_link_url = f'{self.options.get("temp_files_server_address")}/webbrowser?url={urllib.parse.quote(deep_link_url)}&kernelid={self.options.get("kernel_id")}'
qld = self.options.get("query_link_destination").lower().replace('.', '_')
Display.show_window(
f"query_link_{qld}",
deep_link_url,
f"{self.options.get('query_link_destination')}",
onclick_visibility="visible",
palette=Display.info_style,
before_text=f"Click to execute query in {self.options.get('query_link_destination')} ",
display_handler_name=display_handler_name,
close_window_timeout_in_secs=close_window_timeout_in_secs,
**self.options
)
return None
def _getTableHtml(self):
"get query result in a table format as an HTML string"
_cell_with_spaces_pattern = re.compile(r"(<td>)( {2,})")
if self.pretty:
self.pretty.add_rows(self)
result = self.pretty.get_html_string()
result = _cell_with_spaces_pattern.sub(_nonbreaking_spaces, result)
display_limit = 0 if not self.options.get("display_limit") else self.options.get("display_limit")
if display_limit > 0 and len(self) > display_limit:
result = f'{result}\n<span style="font-style:italic;text-align:center;">{len(self)} rows, truncated to display_limit of {display_limit}</span>'
return {"body": result}
else:
return {}
def show_table(self, display_handler_name=None, **kwargs):
"display the table"
options = {**self.options, **kwargs}
pandas__repr_data_resource_ = None
pandas_display_html_table_schema = None
pandas__repr_data_resource_patched = False
if not options.get("popup_window") and len(self) == 1 and len(self[0]) == 1 and (isinstance(self[0][0], dict) or isinstance(self[0][0], list)):
content = Display.to_json_styled_class(self[0][0], options=options)
else:
if options.get("table_package", "").lower() in ["pandas", "pandas_html_table_schema"]:
import pandas as pd
df = self.to_dataframe()
display_limit = options.get("display_limit")
if display_limit is not None:
df = df.head(display_limit)
pd.set_option('display.max_rows', display_limit)
pd.set_option('display.max_columns', None)
pd.set_option('display.min_rows', display_limit)
pd.set_option('display.large_repr', "truncate")
if options.get("table_package", "").lower() == "pandas_html_table_schema" and not options.get("popup_window"):
df_copied = False
for idx, column_type in enumerate(self.columns_type):
if column_type == "dynamic":
if not df_copied:
df_copied = True
df = df.copy()
col_name = self.columns_name[idx]
for item_idx, item in enumerate(df[col_name]):
df.loc[item_idx, col_name] = f"{item}"
pandas_display_html_table_schema = pd.options.display.html.table_schema
pd.options.display.html.table_schema = True
if options.get("notebook_app") in ["azuredatastudio"]:
pandas__repr_data_resource_ = self._patch_pandas__repr_data_resource_()
pandas__repr_data_resource_patched = True
content = df
else:
pandas_display_html_table_schema = pd.options.display.html.table_schema
pd.options.display.html.table_schema = False
t = df._repr_html_()
content = Display.toHtml(body=t, title='table')
else:
t = self._getTableHtml()
content = Display.toHtml(**t, title='table')
if options.get("popup_window") and not options.get("button_text"):
options["button_text"] = f'popup table{((" - " + self.title) if self.title else "")} '
Display.show(content, display_handler_name=display_handler_name, **options)
#
# restore pandas state
#
if pandas__repr_data_resource_patched and pandas__repr_data_resource_ is not None:
self._unpatch_pandas__repr_data_resource_(pandas__repr_data_resource_)
if pandas_display_html_table_schema is not None:
pd.options.display.html.table_schema = pandas_display_html_table_schema
return None
def _patch_pandas__repr_data_resource_(self):
"patch pandas' _repr_data_resource_ method. main modifications is to remove pandas primary key index"
import pandas as pd
pandas__repr_data_resource_ = pd.DataFrame._repr_data_resource_
def my__repr_data_resource_(self):
obj = pandas__repr_data_resource_(self)
#
# mofify schema part
#
schema = obj.get("schema")
# remove primary key, becuase index is the primary key
del schema["primaryKey"]
# replace pandas version with kqlmagic version
del schema["pandas_version"]
schema["kqmagic_version"] = kqlmagic_version
# remove index field
fields = schema.get("fields")
for idx, field in enumerate(fields):
if field.get("name") == "index":
fields.pop(idx)
break
#
# modify data part
#
data = obj.get("data")
for row in data:
del row["index"]
# return modified object
return obj
pd.DataFrame._repr_data_resource_ = my__repr_data_resource_
return pandas__repr_data_resource_
def _unpatch_pandas__repr_data_resource_(self, pandas__repr_data_resource_):
import pandas as pd
pd.DataFrame._repr_data_resource_ = pandas__repr_data_resource_
# Public API
def popup_table(self, **kwargs):
"display the table in popup window"
return self.show_table(**{"popup_window": True, **kwargs})
# Public API
def display_table(self, **kwargs):
"display the table in cell"
return self.show_table(**{"popup_window": False, **kwargs})
# Printable pretty presentation of the object
def __str__(self, *args, **kwargs):
self.pretty.add_rows(self)
return str(self.pretty or "")
# For iterator self[key]
def __getitem__(self, key):
"""
Access by integer (row position within result set)
or by string (value of leftmost column)
"""
try:
item = list.__getitem__(self, key)
except TypeError:
result = [row for row in self if row[0] == key]
if not result or len(result) == 0:
raise KeyError(key)
if len(result) > 1:
raise KeyError(f"{len(result)} results for '{key}'")
item = result[0]
if isinstance(key, slice):
if key.start == None and key.stop == None and key.step == None:
return item
elif len(item) == 0:
return item
return Display.to_json_styled_class(item, options=self.options)
def to_dict(self):
"""Returns a single dict built from the result set
Keys are column names; values are a tuple"""
if len(self):
return dict(zip(self.columns_name, zip(*self)))
else:
return dict(zip(self.columns_name, [() for c in self.columns_name]))
def dicts_iterator(self):
"Iterator yielding a dict for each row"
for row in self:
yield dict(zip(self.columns_name, row))
# Public API
def to_dataframe(self):
"Returns a Pandas DataFrame instance built from the result set."
if self._dataframe is None:
self._dataframe = self._queryResult.tables[self.fork_table_id].to_dataframe(options=self.options)
# import pandas as pd
# frame = pd.DataFrame(self, columns=(self and self.columns_name) or [])
# self._dataframe = frame
return self._dataframe
# Public API
def submit(self, override_vars:dict=None, override_options:dict=None, override_query_properties:dict=None, override_connection:str=None):
"execute the query again"
magic = self._metadata.get("magic")
line = self._metadata.get("parsed").get("line")
cell = self._metadata.get("parsed").get("cell")
return magic.execute(line, cell,
override_vars=override_vars,
override_options=override_options,
override_query_properties=override_query_properties,
override_connection=override_connection)
# Public API
def refresh(self, override_vars:dict=None, override_options:dict=None, override_query_properties:dict=None, override_connection:str=None):
"refresh the results of the query, on the same object: self"
_override_options = {**override_options} if type(override_options) == dict else {}
if _override_options.get('display_id') is None or _override_options.get('display_id') == self.options.get('display_id'):
_override_options['display_handlers'] = self.options.get('display_handlers')
magic = self._metadata.get("magic")
line = self._metadata.get("parsed").get("line")
cell = self._metadata.get("parsed").get("cell")
return magic.execute(line, cell,
override_vars=override_vars,
override_options=_override_options,
override_query_properties=override_query_properties,
override_connection=override_connection,
override_result_set=self)
# Public API
def popup(self, **kwargs):
if self.is_chart():
self.popup_Chart(**kwargs)
else:
self.popup_table(**kwargs)
# Public API
def show_chart(self, display_handler_name=None, **kwargs):
"display the chart that was specified in the query"
_options = {**self.options, **kwargs}
window_mode = _options.get("popup_window")
if window_mode and not _options.get("button_text"):
_options["button_text"] = "popup " + self.visualization + ((" - " + self.title) if self.title else "") + " "
c = self._getChartHtml(window_mode, options=_options)
if c.get("body") or c.get("head"):
html = Display.toHtml(**c, title='chart')
Display.show(html, display_handler_name=display_handler_name, **_options)
elif c.get("fig"):
if _options.get("notebook_app") in ["azurenotebook", "jupyterlab", "visualstudiocode", "ipython"]:
plotly.offline.init_notebook_mode(connected=True)
plotly.offline.iplot(c.get("fig"), filename="plotlychart")
else:
Display.show(c.get("fig"), display_handler_name=display_handler_name, **_options)
else:
return self.show_table(**kwargs)
# Public API
def to_image(self, **kwargs):
"export image of the chart that was specified in the query to a file"
_options = {**self.options, **kwargs}
if self.options.get("plot_package") in ["plotly_orca", "plotly", "plotly_widget"]:
# replace rendering to plotly, to make it work with _plotly_fig_to_image() below
_options = {**self.options, **{"plot_package": "plotly"}}
fig = self._getChartHtml(window_mode=False, options=_options).get("fig")
if fig is not None:
filename = adjust_path(kwargs.get("filename"))
if filename is not None:
file_or_image_bytes = self._plotly_fig_to_image(fig, filename, options=_options)
if file_or_image_bytes:
return FileResultDescriptor(file_or_image_bytes, message="image results", format=_options.get("format"), show=_options.get("show"))
# Public API
def popup_Chart(self, **kwargs):
"display the chart that was specified in the query in a popup window"
return self.chart_popup(**kwargs)
def display_Chart(self, **kwargs):
"display the chart that was specified in the query in the cell"
return self.chart_display(**kwargs)
def chart_popup(self, **kwargs):
"display the chart that was specified in the query"
return self.show_chart(**{"popup_window": True, **kwargs})
def chart_display(self, **kwargs):
"display the chart that was specified in the query"
return self.show_chart(**{"popup_window": False, **kwargs})
def is_chart(self):
return self.visualization and self.visualization != VisualizationValues.TABLE
_SUPPORTED_PLOT_PACKAGES = [
"plotly",
"plotly_orca",
"plotly_widget"
]
def _getChartHtml(self, window_mode=False, options={}):
"get query result in a char format as an HTML string"
# https://kusto.azurewebsites.net/docs/queryLanguage/query_language_renderoperator.html
if not self.is_chart():
return {}
if options.get("plot_package") == "None":
return {}
if options.get("plot_package") not in self._SUPPORTED_PLOT_PACKAGES:
return {}
if len(self) == 0:
id = uuid.uuid4().hex
head = (
f"""<style>#uuid-{id} {{
display: block;
font-style:italic;
font-size:300%;
text-align:center;
}} </style>"""
)
body = f'<div id="uuid-{id}"><br><br>EMPTY CHART (no data)<br><br>.</div>'
return {"body": body, "head": head}
chart_obj = None
# First column is color-axis, second column is numeric
if self.visualization == VisualizationValues.PIE_CHART:
chart_obj = self._render_piechart_plotly(self.visualization_properties, " ", options=options)
# First column is x-axis, and can be text, datetime or numeric. Other columns are numeric, displayed as horizontal strips.
# kind = default, unstacked, stacked, stacked100 (Default, same as unstacked; unstacked - Each "area" to its own; stacked - "Areas" are stacked to the right; stacked100 - "Areas" are stacked to the right, and stretched to the same width)
elif self.visualization == VisualizationValues.BAR_CHART:
chart_obj = self._render_barchart_plotly(self.visualization_properties, " ", options=options)
# Like barchart, with vertical strips instead of horizontal strips.
# kind = default, unstacked, stacked, stacked100
elif self.visualization == VisualizationValues.COLUMN_CHART:
chart_obj = self._render_barchart_plotly(self.visualization_properties, " ", options=options)
# Area graph. First column is x-axis, and should be a numeric column. Other numeric columns are y-axes.
# kind = default, unstacked, stacked, stacked100
elif self.visualization == VisualizationValues.AREA_CHART:
chart_obj = self._render_areachart_plotly(self.visualization_properties, " ", options=options)
# Line graph. First column is x-axis, and should be a numeric column. Other numeric columns are y-axes.
elif self.visualization == VisualizationValues.LINE_CHART:
chart_obj = self._render_linechart_plotly(self.visualization_properties, " ", options=options)
# Line graph. First column is x-axis, and should be datetime. Other columns are y-axes.
elif self.visualization == VisualizationValues.TIME_CHART:
chart_obj = self._render_timechart_plotly(self.visualization_properties, " ", options=options)
# Similar to timechart, but highlights anomalies using an external machine-learning service.
elif self.visualization == VisualizationValues.ANOMALY_CHART:
chart_obj = self._render_linechart_plotly(self.visualization_properties, " ", options=options)
# Stacked area graph. First column is x-axis, and should be a numeric column. Other numeric columns are y-axes.
elif self.visualization == VisualizationValues.STACKED_AREA_CHART:
chart_obj = self._render_stackedareachart_plotly(self.visualization_properties, " ", options=options)
# Last two columns are the x-axis, other columns are y-axis.
elif self.visualization == VisualizationValues.LADDER_CHART:
# not supported yet
return {}
# Interactive navigation over the events time-line (pivoting on time axis)
elif self.visualization == VisualizationValues.TIME_PIVOT:
# not supported yet
return {}
# Displays a pivot table and chart. User can interactively select data, columns, rows and various chart types.
elif self.visualization == VisualizationValues.PIVOT_CHART:
# not supported yet
return {}
# Points graph. First column is x-axis, and should be a numeric column. Other numeric columns are y-axes
elif self.visualization == VisualizationValues.SCATTER_CHART:
chart_obj = self._render_scatterchart_plotly(self.visualization_properties, " ", options=options)
if chart_obj is None:
return {}
chart_figure = self._figure_or_figurewidget(data=chart_obj.get("data"), layout=chart_obj.get("layout"), window_mode=window_mode, options=options)
if chart_figure is not None:
self._metadata["chart_figure"] = chart_figure
if options.get("plot_package") == "plotly_orca":
image_bytes = self._plotly_fig_to_image(chart_figure, None, options=options)
image_base64_bytes= base64.b64encode(image_bytes)
image_base64_str = image_base64_bytes.decode("utf-8")
image_html_str = f"""<div><img src='data:image/png;base64,{image_base64_str}'></div>"""
return {"body": image_html_str}
elif window_mode:
head = '<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>' if not self.options.get("plotly_fs_includejs") else None
body = plotly.offline.plot(
chart_figure,
include_plotlyjs=window_mode and self.options.get("plotly_fs_includejs", False),
output_type="div"
)
return {"body": body, "head": head}
else:
return {"fig": chart_figure}
return {}
def _plotly_fig_to_image(self, fig, filename:str, options:dict={}) -> bytes:
try:
if filename: #requires plotly orca package
fig.write_image(
adjust_path(filename),
format=options.get("format"),
scale=options.get("scale"), width=options.get("width"), height=options.get("height")
)
# plotly.io.write_image(
# fig, file, format=options.get("format"), scale=options.get("scale"), width=options.get("width"), height=options.get("height")
# )
return filename
else:
return plotly.io.to_image(
fig, format=options.get("format"), scale=options.get("scale"), width=options.get("width"), height=options.get("height")
)
except:
# display image with 'orca is missing'
plotly_orca_is_missing_base64_png: str = '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'
plotly_orca_is_missing_bytes_png: bytes = base64.b64decode(plotly_orca_is_missing_base64_png)
return plotly_orca_is_missing_bytes_png
@classmethod
def _init_matplotlib(cls, **options):
if not cls.is_matplotlib_intialized:
logger().debug("ResultSet::_init_matplotlib - initialize matplotlib")
IPythonAPI.try_init_ipython_matplotlib_magic(**options)
cls.is_matplotlib_intialized = True
def pie(self, properties:dict, key_word_sep=" ", **kwargs):
"""Generates a pylab pie chart from the result set.
``matplotlib`` must be installed, and in an
IPython Notebook, inlining must be on::
%%matplotlib inline
Values (pie slice sizes) are taken from the
rightmost column (numerical values required).
All other columns are used to label the pie slices.
Parameters
----------
key_word_sep: string used to separate column values
from each other in pie labels
title: Plot title, defaults to name of value column
Any additional keyword arguments will be passsed
through to ``matplotlib.pylab.pie``.
"""
self._init_matplotlib(**kwargs)
import matplotlib.pyplot as plt
self.build_columns()
pie = plt.pie(self.columns[1], labels=self.columns[0], **kwargs)
plt.title(properties.get(VisualizationKeys.TITLE) or self.columns[1].name)
plt.show()
return pie
def plot(self, properties:dict, **kwargs):
"""Generates a pylab plot from the result set.
``matplotlib`` must be installed, and in an
IPython Notebook, inlining must be on::
%%matplotlib inline