7114672788

Committed 06 Dec 2023 12:43PM UTC coverage: 0.0%. Remained the same

Build # 7114672788

Build Type

push

github

Committed by

web-flow

Commit Message

add(bioinfo models) (#49) (patch)

## Added
Adds Bioinfo models to arnold

## Changed
Renamed "Sample" model to "LimsSample" to make a better distinction between LAB and BIOINFO related metrics.
Not sure if this will persist later on or these will me merged in some way.

Run Details

0 of 190 new or added lines in 18 files covered. (0.0%)

2 existing lines in 1 file now uncovered.

0 of 862 relevant lines covered (0.0%)

0.0 hits per line

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0.0

/arnold/crud/read/plot/format_plot_data.py

def format_plot_data(plot_data: list, trend_field):
    """Function to format raw aggregated time series"""
    ordered_plot_data = {"trend_field": [], "month": [], "group": None}
    for datapoint in plot_data:
        month = datapoint["_id"]["month"]
        trend_value = datapoint[trend_field]
        ordered_plot_data["y"].append(trend_value)
        ordered_plot_data["x"].append(month)
        continue

    return [ordered_plot_data]


def format_grouped_plot_data(plot_data: list, group_field, trend_field):
    """Function to format raw grouped aggregated time series"""

    grouped_plottdata = {}
    for datapoint in plot_data:
        group = datapoint["_id"][group_field]
        month = datapoint["_id"]["month"]
        trend_value = datapoint[trend_field]
        if group in grouped_plottdata:
            grouped_plottdata[group][trend_field].append(trend_value)
            grouped_plottdata[group]["month"].append(month)
            continue
        grouped_plottdata[group] = {
            trend_field: [trend_value],
            "month": [month],
            "group": group,
        }

    return [value for group, value in grouped_plottdata.items()]

1	def format_plot_data(plot_data: list, trend_field):	×
2	"""Function to format raw aggregated time series"""
3	ordered_plot_data = {"trend_field": [], "month": [], "group": None}	×
4	for datapoint in plot_data:	×
5	month = datapoint["_id"]["month"]	×
6	trend_value = datapoint[trend_field]	×
7	ordered_plot_data["y"].append(trend_value)	×
8	ordered_plot_data["x"].append(month)	×
9	continue	×
10
11	return [ordered_plot_data]	×
12
13
14	def format_grouped_plot_data(plot_data: list, group_field, trend_field):	×
15	"""Function to format raw grouped aggregated time series"""
16
17	grouped_plottdata = {}	×
18	for datapoint in plot_data:	×
19	group = datapoint["_id"][group_field]	×
20	month = datapoint["_id"]["month"]	×
21	trend_value = datapoint[trend_field]	×
22	if group in grouped_plottdata:	×
23	grouped_plottdata[group][trend_field].append(trend_value)	×
24	grouped_plottdata[group]["month"].append(month)	×
25	continue	×
NEW 26	grouped_plottdata[group] = {	×
27	trend_field: [trend_value],
28	"month": [month],
29	"group": group,
30	}
31
32	return [value for group, value in grouped_plottdata.items()]	×

Clinical-Genomics / arnold / 7114672788

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