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nexpie-grafana-theme
Commits
93851a9a
Commit
93851a9a
authored
Nov 13, 2015
by
Torkel Ödegaard
Browse files
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feat(tablepanel): added time series aggregations transform mode, #3219
parent
00a479de
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4 changed files
with
106 additions
and
53 deletions
+106
-53
public/app/panels/table/editor.html
+2
-2
public/app/panels/table/editor.ts
+8
-28
public/app/panels/table/specs/transformers_specs.ts
+20
-20
public/app/panels/table/transformers.ts
+76
-3
No files found.
public/app/panels/table/editor.html
View file @
93851a9a
...
@@ -16,7 +16,7 @@
...
@@ -16,7 +16,7 @@
</ul>
</ul>
<div
class=
"clearfix"
></div>
<div
class=
"clearfix"
></div>
</div>
</div>
<div
class=
"tight-form"
ng-if=
"
panel.transform === 'json'
"
>
<div
class=
"tight-form"
ng-if=
"
showColumnOptions
"
>
<ul
class=
"tight-form-list"
>
<ul
class=
"tight-form-list"
>
<li
class=
"tight-form-item"
style=
"width: 140px"
>
<li
class=
"tight-form-item"
style=
"width: 140px"
>
Columns
Columns
...
@@ -24,7 +24,7 @@
...
@@ -24,7 +24,7 @@
<li
class=
"tight-form-item"
ng-repeat=
"column in panel.columns"
>
<li
class=
"tight-form-item"
ng-repeat=
"column in panel.columns"
>
<i
class=
"pointer fa fa-remove"
ng-click=
"removeColumn(column)"
></i>
<i
class=
"pointer fa fa-remove"
ng-click=
"removeColumn(column)"
></i>
<span>
<span>
{{column.
name
}}
{{column.
text
}}
</span>
</span>
</li>
</li>
<li
class=
"dropdown"
dropdown-typeahead=
"columnsMenu"
dropdown-typeahead-on-select=
"addColumn($item, $subItem)"
>
<li
class=
"dropdown"
dropdown-typeahead=
"columnsMenu"
dropdown-typeahead-on-select=
"addColumn($item, $subItem)"
>
...
...
public/app/panels/table/editor.ts
View file @
93851a9a
...
@@ -37,48 +37,26 @@ export function tablePanelEditor() {
...
@@ -37,48 +37,26 @@ export function tablePanelEditor() {
];
];
scope
.
updateColumnsMenu
=
function
(
data
)
{
scope
.
updateColumnsMenu
=
function
(
data
)
{
scope
.
columnsMenu
=
[];
scope
.
columnsMenu
=
transformers
[
scope
.
panel
.
transform
].
getColumns
(
data
);
if
(
!
data
||
data
.
length
===
0
)
{
scope
.
showColumnOptions
=
scope
.
columnsMenu
.
length
>
0
;
return
;
};
}
var
names
=
{};
for
(
var
i
=
0
;
i
<
data
.
length
;
i
++
)
{
var
series
=
data
[
i
];
if
(
series
.
type
!==
'docs'
)
{
continue
;
}
for
(
var
y
=
0
;
y
<
series
.
datapoints
.
length
;
y
++
)
{
var
doc
=
series
.
datapoints
[
y
];
for
(
var
propName
in
doc
)
{
names
[
propName
]
=
true
;
}
}
}
_
.
each
(
names
,
function
(
value
,
key
)
{
scope
.
columnsMenu
.
push
({
text
:
key
});
});
};
scope
.
updateColumnsMenu
(
scope
.
dataRaw
);
scope
.
$on
(
'render'
,
function
(
event
,
table
,
rawData
)
{
scope
.
$on
(
'render'
,
function
(
event
,
table
,
rawData
)
{
scope
.
updateColumnsMenu
(
rawData
);
scope
.
updateColumnsMenu
(
rawData
);
});
});
scope
.
addColumn
=
function
(
menuItem
)
{
scope
.
addColumn
=
function
(
menuItem
)
{
scope
.
panel
.
columns
.
push
({
name
:
menuItem
.
text
});
scope
.
panel
.
columns
.
push
({
text
:
menuItem
.
text
,
value
:
menuItem
.
value
});
scope
.
render
();
scope
.
render
();
};
};
scope
.
transformChanged
=
function
()
{
scope
.
transformChanged
=
function
()
{
scope
.
updateColumnsMenu
();
scope
.
render
();
scope
.
render
();
};
};
scope
.
removeColumn
=
function
(
column
)
{
scope
.
removeColumn
=
function
(
column
)
{
scope
.
panel
.
column
=
_
.
without
(
scope
.
panel
.
column
,
column
);
scope
.
panel
.
column
s
=
_
.
without
(
scope
.
panel
.
columns
,
column
);
scope
.
render
();
scope
.
render
();
};
};
...
@@ -114,6 +92,8 @@ export function tablePanelEditor() {
...
@@ -114,6 +92,8 @@ export function tablePanelEditor() {
return
col
.
text
;
return
col
.
text
;
});
});
};
};
scope
.
updateColumnsMenu
(
scope
.
dataRaw
);
}
}
};
};
}
}
...
...
public/app/panels/table/specs/transformers_specs.ts
View file @
93851a9a
...
@@ -39,7 +39,7 @@ describe('when transforming time series table', () => {
...
@@ -39,7 +39,7 @@ describe('when transforming time series table', () => {
it
(
'should return 3 rows'
,
()
=>
{
it
(
'should return 3 rows'
,
()
=>
{
expect
(
table
.
columns
.
length
).
to
.
be
(
3
);
expect
(
table
.
columns
.
length
).
to
.
be
(
3
);
expect
(
table
.
columns
[
0
].
text
).
to
.
be
(
'Time'
);
expect
(
table
.
columns
[
0
].
text
).
to
.
be
(
'Time'
);
expect
(
table
.
columns
[
1
].
text
).
to
.
be
(
'
Series
'
);
expect
(
table
.
columns
[
1
].
text
).
to
.
be
(
'
Metric
'
);
expect
(
table
.
columns
[
2
].
text
).
to
.
be
(
'Value'
);
expect
(
table
.
columns
[
2
].
text
).
to
.
be
(
'Value'
);
});
});
});
});
...
@@ -71,36 +71,36 @@ describe('when transforming time series table', () => {
...
@@ -71,36 +71,36 @@ describe('when transforming time series table', () => {
});
});
});
});
describe
(
'timeseries_
to_summarie
s'
,
()
=>
{
describe
(
'timeseries_
aggregation
s'
,
()
=>
{
var
panel
=
{
var
panel
=
{
transform
:
'timeseries_
to_summarie
s'
,
transform
:
'timeseries_
aggregation
s'
,
sort
:
{
col
:
0
,
desc
:
true
},
sort
:
{
col
:
0
,
desc
:
true
},
columns
:
[{
text
:
'Max'
,
value
:
'max'
},
{
text
:
'Min'
,
value
:
'min'
}]
};
};
beforeEach
(()
=>
{
beforeEach
(()
=>
{
table
=
TableModel
.
transform
(
timeSeries
,
panel
);
table
=
TableModel
.
transform
(
timeSeries
,
panel
);
});
});
// it('should return 2 rows', () => {
it
(
'should return 2 rows'
,
()
=>
{
// expect(table.rows.length).to.be(2);
expect
(
table
.
rows
.
length
).
to
.
be
(
2
);
// expect(table.rows[0][0]).to.be('series1');
expect
(
table
.
rows
[
0
][
0
]).
to
.
be
(
'series1'
);
// expect(table.rows[0][1]).to.be('Min');
expect
(
table
.
rows
[
0
][
1
]).
to
.
be
(
14.44
);
// expect(table.rows[1][0]).to.be('series2');
expect
(
table
.
rows
[
0
][
2
]).
to
.
be
(
12.12
);
// });
});
//
// it('should return 2 columns', () => {
// expect(table.columns.length).to.be(3);
// expect(table.columns[0].text).to.be('Series');
// expect(table.columns[1].text).to.be('Min');
// expect(table.columns[2].text).to.be('Value');
// });
});
it
(
'should return 2 columns'
,
()
=>
{
expect
(
table
.
columns
.
length
).
to
.
be
(
3
);
expect
(
table
.
columns
[
0
].
text
).
to
.
be
(
'Metric'
);
expect
(
table
.
columns
[
1
].
text
).
to
.
be
(
'Max'
);
expect
(
table
.
columns
[
2
].
text
).
to
.
be
(
'Min'
);
});
});
describe
(
'JSON Data'
,
()
=>
{
describe
(
'JSON Data'
,
()
=>
{
var
panel
=
{
var
panel
=
{
transform
:
'json'
,
transform
:
'json'
,
columns
:
[{
name
:
'timestamp'
},
{
nam
e
:
'message'
}]
columns
:
[{
text
:
'Timestamp'
,
value
:
'timestamp'
},
{
text
:
'Message'
,
valu
e
:
'message'
}]
};
};
var
rawData
=
[
var
rawData
=
[
{
{
...
@@ -120,8 +120,8 @@ describe('when transforming time series table', () => {
...
@@ -120,8 +120,8 @@ describe('when transforming time series table', () => {
it
(
'should return 2 columns'
,
()
=>
{
it
(
'should return 2 columns'
,
()
=>
{
expect
(
table
.
columns
.
length
).
to
.
be
(
2
);
expect
(
table
.
columns
.
length
).
to
.
be
(
2
);
expect
(
table
.
columns
[
0
].
text
).
to
.
be
(
'
t
imestamp'
);
expect
(
table
.
columns
[
0
].
text
).
to
.
be
(
'
T
imestamp'
);
expect
(
table
.
columns
[
1
].
text
).
to
.
be
(
'
m
essage'
);
expect
(
table
.
columns
[
1
].
text
).
to
.
be
(
'
M
essage'
);
});
});
it
(
'should return 2 rows'
,
()
=>
{
it
(
'should return 2 rows'
,
()
=>
{
...
...
public/app/panels/table/transformers.ts
View file @
93851a9a
...
@@ -2,15 +2,19 @@
...
@@ -2,15 +2,19 @@
import
moment
=
require
(
'moment'
);
import
moment
=
require
(
'moment'
);
import
_
=
require
(
'lodash'
);
import
_
=
require
(
'lodash'
);
import
TimeSeries
=
require
(
'app/core/time_series'
);
var
transformers
=
{};
var
transformers
=
{};
transformers
[
'timeseries_to_rows'
]
=
{
transformers
[
'timeseries_to_rows'
]
=
{
description
:
'Time series to rows'
,
description
:
'Time series to rows'
,
getColumns
:
function
()
{
return
[];
},
transform
:
function
(
data
,
panel
,
model
)
{
transform
:
function
(
data
,
panel
,
model
)
{
model
.
columns
=
[
model
.
columns
=
[
{
text
:
'Time'
,
type
:
'date'
},
{
text
:
'Time'
,
type
:
'date'
},
{
text
:
'
Series
'
},
{
text
:
'
Metric
'
},
{
text
:
'Value'
},
{
text
:
'Value'
},
];
];
...
@@ -26,6 +30,9 @@ transformers['timeseries_to_rows'] = {
...
@@ -26,6 +30,9 @@ transformers['timeseries_to_rows'] = {
transformers
[
'timeseries_to_columns'
]
=
{
transformers
[
'timeseries_to_columns'
]
=
{
description
:
'Time series to columns'
,
description
:
'Time series to columns'
,
getColumns
:
function
()
{
return
[];
},
transform
:
function
(
data
,
panel
,
model
)
{
transform
:
function
(
data
,
panel
,
model
)
{
model
.
columns
.
push
({
text
:
'Time'
,
type
:
'date'
});
model
.
columns
.
push
({
text
:
'Time'
,
type
:
'date'
});
...
@@ -64,8 +71,50 @@ transformers['timeseries_to_columns'] = {
...
@@ -64,8 +71,50 @@ transformers['timeseries_to_columns'] = {
}
}
};
};
transformers
[
'timeseries_aggregations'
]
=
{
description
:
'Time series aggregations'
,
getColumns
:
function
()
{
return
[
{
text
:
'Avg'
,
value
:
'avg'
},
{
text
:
'Min'
,
value
:
'min'
},
{
text
:
'Max'
,
value
:
'max'
},
];
},
transform
:
function
(
data
,
panel
,
model
)
{
var
i
,
y
;
model
.
columns
.
push
({
text
:
'Metric'
});
if
(
panel
.
columns
.
length
===
0
)
{
panel
.
columns
.
push
({
text
:
'Avg'
,
value
:
'avg'
});
}
for
(
i
=
0
;
i
<
panel
.
columns
.
length
;
i
++
)
{
model
.
columns
.
push
({
text
:
panel
.
columns
[
i
].
text
});
}
for
(
i
=
0
;
i
<
data
.
length
;
i
++
)
{
var
series
=
new
TimeSeries
({
datapoints
:
data
[
i
].
datapoints
,
alias
:
data
[
i
].
target
,
});
series
.
getFlotPairs
(
'connected'
);
var
cells
=
[
series
.
alias
];
for
(
y
=
0
;
y
<
panel
.
columns
.
length
;
y
++
)
{
cells
.
push
(
series
.
stats
[
panel
.
columns
[
y
].
value
]);
}
model
.
rows
.
push
(
cells
);
}
}
};
transformers
[
'annotations'
]
=
{
transformers
[
'annotations'
]
=
{
description
:
'Annotations'
,
description
:
'Annotations'
,
getColumns
:
function
()
{
return
[];
},
transform
:
function
(
data
,
panel
,
model
)
{
transform
:
function
(
data
,
panel
,
model
)
{
model
.
columns
.
push
({
text
:
'Time'
,
type
:
'date'
});
model
.
columns
.
push
({
text
:
'Time'
,
type
:
'date'
});
model
.
columns
.
push
({
text
:
'Title'
});
model
.
columns
.
push
({
text
:
'Title'
});
...
@@ -85,10 +134,34 @@ transformers['annotations'] = {
...
@@ -85,10 +134,34 @@ transformers['annotations'] = {
transformers
[
'json'
]
=
{
transformers
[
'json'
]
=
{
description
:
'JSON Data'
,
description
:
'JSON Data'
,
getColumns
:
function
(
data
)
{
if
(
!
data
||
data
.
length
===
0
)
{
return
[];
}
var
names
:
any
=
{};
for
(
var
i
=
0
;
i
<
data
.
length
;
i
++
)
{
var
series
=
data
[
i
];
if
(
series
.
type
===
'docs'
)
{
continue
;
}
for
(
var
y
=
0
;
y
<
series
.
datapoints
.
length
;
y
++
)
{
var
doc
=
series
.
datapoints
[
y
];
for
(
var
propName
in
doc
)
{
names
[
propName
]
=
true
;
}
}
}
return
_
.
map
(
names
,
function
(
value
,
key
)
{
return
{
text
:
key
,
value
:
key
};
});
},
transform
:
function
(
data
,
panel
,
model
)
{
transform
:
function
(
data
,
panel
,
model
)
{
var
i
,
y
,
z
;
var
i
,
y
,
z
;
for
(
i
=
0
;
i
<
panel
.
columns
.
length
;
i
++
)
{
for
(
i
=
0
;
i
<
panel
.
columns
.
length
;
i
++
)
{
model
.
columns
.
push
({
text
:
panel
.
columns
[
i
].
name
});
model
.
columns
.
push
({
text
:
panel
.
columns
[
i
].
text
});
}
}
if
(
model
.
columns
.
length
===
0
)
{
if
(
model
.
columns
.
length
===
0
)
{
...
@@ -102,7 +175,7 @@ transformers['json'] = {
...
@@ -102,7 +175,7 @@ transformers['json'] = {
var
dp
=
series
.
datapoints
[
y
];
var
dp
=
series
.
datapoints
[
y
];
var
values
=
[];
var
values
=
[];
for
(
z
=
0
;
z
<
panel
.
columns
.
length
;
z
++
)
{
for
(
z
=
0
;
z
<
panel
.
columns
.
length
;
z
++
)
{
values
.
push
(
dp
[
panel
.
columns
[
z
].
nam
e
]);
values
.
push
(
dp
[
panel
.
columns
[
z
].
valu
e
]);
}
}
if
(
values
.
length
===
0
)
{
if
(
values
.
length
===
0
)
{
...
...
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