"""
-import plotly.graph_objects as go
+import json
+import pandas as pd
from dash import dcc
from dash import html
from yaml import load, FullLoader, YAMLError
from datetime import datetime, timedelta
-from pprint import pformat
-
-from .data import read_data
+from ..data.data import Data
+from .graphs import trending_tput
class Layout:
"""
"""
- def __init__(self, app, html_layout_file, spec_file, graph_layout_file):
+ def __init__(self, app, html_layout_file, spec_file, graph_layout_file,
+ data_spec_file):
"""
"""
self._html_layout_file = html_layout_file
self._spec_file = spec_file
self._graph_layout_file = graph_layout_file
+ self._data_spec_file = data_spec_file
# Read the data:
- self._data = read_data()
+ data_mrr = Data(
+ data_spec_file=self._data_spec_file,
+ debug=True
+ ).read_trending_mrr()
+
+ data_ndrpdr = Data(
+ data_spec_file=self._data_spec_file,
+ debug=True
+ ).read_trending_ndrpdr()
+
+ self._data = pd.concat([data_mrr, data_ndrpdr], ignore_index=True)
# Read from files:
self._html_layout = ""
def data(self):
return self._data
+ @property
+ def layout(self):
+ return self._graph_layout
+
def add_content(self):
"""
"""
)
],
type="circle"
+ ),
+ html.Div(
+ children=[
+ dcc.Markdown("""
+ **Metadata**
+
+ Click on data points in the graph.
+ """),
+ html.Pre(
+ id="hover-metadata"
+ )
+ ]
)
],
style={
)
]
),
- # Debug output, TODO: Remove
- html.H5("Debug output"),
- html.Pre(id="div-ctrl-info")
]
)
html.Br(),
dcc.DatePickerRange(
id="dpr-period",
- min_date_allowed=datetime(2021, 1, 1),
+ min_date_allowed=datetime.utcnow() - timedelta(days=180),
max_date_allowed=datetime.utcnow(),
initial_visible_month=datetime.utcnow(),
start_date=datetime.utcnow() - timedelta(days=180),
- end_date=datetime.utcnow()
+ end_date=datetime.utcnow(),
+ display_format="D MMMM YY"
)
]
)
@app.callback(
Output("graph", "figure"),
- Output("div-ctrl-info", "children"), # Debug output TODO: Remove
Output("selected-tests", "data"), # Store
Output("cl-selected", "options"), # User selection
Output("dd-ctrl-phy", "value"),
for framesize in framesizes:
for ttype in testtypes:
tid = (
- f"{phy}-"
+ f"{phy.replace('af_xdp', 'af-xdp')}-"
f"{area}-"
f"{framesize.lower()}-"
f"{core.lower()}-"
"core": core.lower(),
"testtype": ttype.lower()
})
- return (no_update, no_update, store_sel, _list_tests(), None,
+ return (no_update, store_sel, _list_tests(), None,
None, None, no_update)
elif trigger_id in ("btn-sel-display", "dpr-period"):
- fig, style = _update_graph(store_sel, d_start, d_end)
- return (fig, pformat(store_sel), no_update, no_update,
+ fig, style = trending_tput(
+ self.data, store_sel, self.layout, d_start, d_end
+ )
+ return (fig, no_update, no_update,
no_update, no_update, no_update, style)
elif trigger_id == "btn-sel-remove":
if item["id"] not in list_sel:
new_store_sel.append(item)
store_sel = new_store_sel
- fig, style = _update_graph(store_sel, d_start, d_end)
- return (fig, pformat(store_sel), store_sel, _list_tests(),
- no_update, no_update, no_update, style)
-
- def _update_graph(sel, start, end):
- """
- """
-
- if not sel:
- return no_update, no_update
-
- def _is_selected(label, sel):
- for itm in sel:
- phy = itm["phy"].split("-")
- if len(phy) == 4:
- topo, arch, nic, drv = phy
- else:
- continue
- if nic not in label:
- continue
- if drv != "dpdk" and drv not in label:
- continue
- if itm["test"] not in label:
- continue
- if itm["framesize"] not in label:
- continue
- if itm["core"] not in label:
- continue
- if itm["testtype"] not in label:
- continue
- return (
- f"{itm['phy']}-{itm['framesize']}-{itm['core']}-"
- f"{itm['test']}-{itm['testtype']}"
+ if store_sel:
+ fig, style = trending_tput(
+ self.data, store_sel, self.layout, d_start, d_end
)
+ return (fig, store_sel, _list_tests(),
+ no_update, no_update, no_update, style)
else:
- return None
-
- style={
- "vertical-align": "top",
- "display": "inline-block",
- "width": "80%",
- "padding": "5px"
- }
-
- fig = go.Figure()
- dates = self.data.iloc[[0], 1:].values.flatten().tolist()[::-1]
- x_data = [
- datetime(
- int(date[0:4]), int(date[4:6]), int(date[6:8]),
- int(date[9:11]), int(date[12:])
- ) for date in dates
- ]
- x_data_range = [
- date for date in x_data if date >= start and date <= end
- ]
- vpp = self.data.iloc[[1], 1:].values.flatten().tolist()[::-1]
- csit = list(self.data.columns[1:])[::-1]
- labels = list(self.data["Build Number:"][3:])
- for i in range(3, len(self.data)):
- name = _is_selected(labels[i-3], sel)
- if not name:
- continue
- y_data = [
- float(v) / 1e6 for v in \
- self.data.iloc[[i], 1:].values.flatten().tolist()[::-1]
- ]
- hover_txt = list()
- for x_idx, x_itm in enumerate(x_data):
- hover_txt.append(
- f"date: {x_itm}<br>"
- f"average [Mpps]: {y_data[x_idx]}<br>"
- f"vpp-ref: {vpp[x_idx]}<br>"
- f"csit-ref: {csit[x_idx]}"
- )
- fig.add_trace(
- go.Scatter(
- x=x_data_range,
- y= y_data,
- name=name,
- mode="markers+lines",
- text=hover_txt,
- hoverinfo=u"text+name"
- )
- )
- layout = self._graph_layout.get("plot-trending", dict())
- fig.update_layout(layout)
+ style={
+ "vertical-align": "top",
+ "display": "none",
+ "width": "80%",
+ "padding": "5px"
+ }
+ return (no_update, store_sel, _list_tests(),
+ no_update, no_update, no_update, style)
- return fig, style
+ @app.callback(
+ Output("hover-metadata", "children"),
+ Input("graph", "clickData")
+ )
+ def _show_metadata(hover_data):
+ if not hover_data:
+ raise PreventUpdate
+ return json.dumps(hover_data, indent=2)
Code Review / csit.git / blobdiff