from ..utils.utils import show_tooltip, label, sync_checklists, gen_new_url, \
generate_options, get_list_group_items
from ..utils.url_processing import url_decode
-from ..data.data import Data
from .graphs import graph_iterative, select_iterative_data
"""The layout of the dash app and the callbacks.
"""
- def __init__(self, app: Flask, releases: list, html_layout_file: str,
- graph_layout_file: str, data_spec_file: str, tooltip_file: str) -> None:
+ def __init__(
+ self,
+ app: Flask,
+ data_iterative: pd.DataFrame,
+ html_layout_file: str,
+ graph_layout_file: str,
+ tooltip_file: str
+ ) -> None:
"""Initialization:
- save the input parameters,
- read and pre-process the data,
- read tooltips from the tooltip file.
:param app: Flask application running the dash application.
- :param releases: Lis of releases to be displayed.
:param html_layout_file: Path and name of the file specifying the HTML
layout of the dash application.
:param graph_layout_file: Path and name of the file with layout of
plot.ly graphs.
- :param data_spec_file: Path and name of the file specifying the data to
- be read from parquets for this application.
:param tooltip_file: Path and name of the yaml file specifying the
tooltips.
:type app: Flask
- :type releases: list
:type html_layout_file: str
:type graph_layout_file: str
- :type data_spec_file: str
:type tooltip_file: str
"""
# Inputs
self._app = app
- self.releases = releases
self._html_layout_file = html_layout_file
self._graph_layout_file = graph_layout_file
- self._data_spec_file = data_spec_file
self._tooltip_file = tooltip_file
-
- # Read the data:
- self._data = pd.DataFrame()
- for rls in releases:
- data_mrr = Data(self._data_spec_file, True).\
- read_iterative_mrr(release=rls)
- data_mrr["release"] = rls
- data_ndrpdr = Data(self._data_spec_file, True).\
- read_iterative_ndrpdr(release=rls)
- data_ndrpdr["release"] = rls
- self._data = pd.concat(
- [self._data, data_mrr, data_ndrpdr],
- ignore_index=True
- )
+ self._data = data_iterative
# Get structure of tests:
tbs = dict()
- cols = ["job", "test_id", "test_type", "dut_version", "release"]
+ cols = [
+ "job", "test_id", "test_type", "dut_version", "tg_type", "release"
+ ]
for _, row in self._data[cols].drop_duplicates().iterrows():
rls = row["release"]
- ttype = row["test_type"]
lst_job = row["job"].split("-")
dut = lst_job[1]
d_ver = row["dut_version"]
tbs[rls][dut][d_ver][infra][area][test]["frame-size"].append(
framesize.upper()
)
- if ttype == "mrr":
+ if row["test_type"] == "mrr":
if "MRR" not in \
tbs[rls][dut][d_ver][infra][area][test]["test-type"]:
tbs[rls][dut][d_ver][infra][area][test]["test-type"].append(
"MRR"
)
- elif ttype == "ndrpdr":
+ elif row["test_type"] == "ndrpdr":
if "NDR" not in \
tbs[rls][dut][d_ver][infra][area][test]["test-type"]:
tbs[rls][dut][d_ver][infra][area][test]["test-type"].extend(
("NDR", "PDR", )
)
+ elif row["test_type"] == "hoststack" and \
+ row["tg_type"] in ("iperf", "vpp"):
+ if "BPS" not in \
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"]:
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"].append(
+ "BPS"
+ )
+ elif row["test_type"] == "hoststack" and row["tg_type"] == "ab":
+ if "CPS" not in \
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"]:
+ tbs[rls][dut][d_ver][infra][area][test]["test-type"].extend(
+ ("CPS", "RPS")
+ )
self._spec_tbs = tbs
# Read from files:
if on_draw:
if store_sel:
- lg_selected = get_list_group_items(store_sel)
+ lg_selected = get_list_group_items(store_sel, "sel-cl")
plotting_area = self._get_plotting_area(
store_sel,
bool(normalize),