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[BUGFIX]: JavaScripts max int is 2^53 - 1, longs are bigger (#4005)
* [BUGFIX]: Java scripts max int is 2^53 - 1 longs are bigger and frequently used as IDs this is a hacky fix. * Keep tuple as tuple
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@ -19,6 +19,7 @@ from pandas.core.common import _maybe_box_datetimelike
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from pandas.core.dtypes.dtypes import ExtensionDtype
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from pandas.core.dtypes.dtypes import ExtensionDtype
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from past.builtins import basestring
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from past.builtins import basestring
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from superset.utils import JS_MAX_INTEGER
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INFER_COL_TYPES_THRESHOLD = 95
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INFER_COL_TYPES_THRESHOLD = 95
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INFER_COL_TYPES_SAMPLE_SIZE = 100
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INFER_COL_TYPES_SAMPLE_SIZE = 100
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@ -51,9 +52,17 @@ class SupersetDataFrame(object):
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@property
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@property
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def data(self):
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def data(self):
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# work around for https://github.com/pandas-dev/pandas/issues/18372
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# work around for https://github.com/pandas-dev/pandas/issues/18372
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return [dict((k, _maybe_box_datetimelike(v))
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data = [dict((k, _maybe_box_datetimelike(v))
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for k, v in zip(self.__df.columns, np.atleast_1d(row)))
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for k, v in zip(self.__df.columns, np.atleast_1d(row)))
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for row in self.__df.values]
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for row in self.__df.values]
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for d in data:
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for k, v in list(d.items()):
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# if an int is too big for Java Script to handle
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# convert it to a string
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if isinstance(v, int):
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if abs(v) > JS_MAX_INTEGER:
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d[k] = str(v)
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return data
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@classmethod
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@classmethod
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def db_type(cls, dtype):
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def db_type(cls, dtype):
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@ -48,6 +48,8 @@ PY3K = sys.version_info >= (3, 0)
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EPOCH = datetime(1970, 1, 1)
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EPOCH = datetime(1970, 1, 1)
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DTTM_ALIAS = '__timestamp'
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DTTM_ALIAS = '__timestamp'
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JS_MAX_INTEGER = 9007199254740991 # Largest int Java Script can handle 2^53-1
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def flasher(msg, severity=None):
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def flasher(msg, severity=None):
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"""Flask's flash if available, logging call if not"""
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"""Flask's flash if available, logging call if not"""
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@ -35,7 +35,7 @@ from six import string_types, text_type
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from six.moves import cPickle as pkl, reduce
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from six.moves import cPickle as pkl, reduce
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from superset import app, cache, get_manifest_file, utils
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from superset import app, cache, get_manifest_file, utils
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from superset.utils import DTTM_ALIAS, merge_extra_filters
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from superset.utils import DTTM_ALIAS, JS_MAX_INTEGER, merge_extra_filters
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config = app.config
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config = app.config
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@ -88,6 +88,17 @@ class BaseViz(object):
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self._any_cached_dttm = None
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self._any_cached_dttm = None
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self._extra_chart_data = None
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self._extra_chart_data = None
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@staticmethod
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def handle_js_int_overflow(data):
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for d in data.get('records', dict()):
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for k, v in list(d.items()):
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if isinstance(v, int):
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# if an int is too big for Java Script to handle
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# convert it to a string
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if abs(v) > JS_MAX_INTEGER:
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d[k] = str(v)
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return data
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def run_extra_queries(self):
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def run_extra_queries(self):
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"""Lyfecycle method to use when more than one query is needed
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"""Lyfecycle method to use when more than one query is needed
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@ -515,10 +526,13 @@ class TableViz(BaseViz):
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):
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):
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del df[m]
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del df[m]
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return dict(
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data = self.handle_js_int_overflow(
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dict(
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records=df.to_dict(orient='records'),
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records=df.to_dict(orient='records'),
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columns=list(df.columns),
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columns=list(df.columns),
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)
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))
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return data
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def json_dumps(self, obj, sort_keys=False):
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def json_dumps(self, obj, sort_keys=False):
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if self.form_data.get('all_columns'):
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if self.form_data.get('all_columns'):
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@ -1033,7 +1047,12 @@ class NVD3TimeSeriesViz(NVD3Viz):
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ys = series[name]
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ys = series[name]
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if df[name].dtype.kind not in 'biufc':
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if df[name].dtype.kind not in 'biufc':
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continue
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continue
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series_title = name
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if isinstance(name, list):
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series_title = [str(title) for title in name]
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elif isinstance(name, tuple):
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series_title = tuple(str(title) for title in name)
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else:
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series_title = str(name)
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if (
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if (
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isinstance(series_title, (list, tuple)) and
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isinstance(series_title, (list, tuple)) and
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len(series_title) > 1 and
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len(series_title) > 1 and
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