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| from datetime import date | |
| import pandas as pd | |
| from gradio import BarPlot | |
| from pandas import DataFrame | |
| from src.dataset_data import DatasetData | |
| from src.df_utils import DfUtils | |
| class TestsCountAddonsNumberPresenter: | |
| def __init__(self, data: DatasetData): | |
| self.__data = data | |
| def present(self) -> BarPlot: | |
| all_dfs: dict[date, DataFrame] = self.__data.get_parquet_dict() | |
| github_dfs: dict[date, DataFrame] = {day: df[['id', 'github']] for day, df in all_dfs.items()} | |
| tests_count_dfs: dict[date, DataFrame] = {day: DfUtils.extract_tests_count(df) | |
| for day, df in github_dfs.items()} | |
| have_tests_dfs: dict[date, DataFrame] = {day: df[df["tests_count"] > 0] for day, df in tests_count_dfs.items()} | |
| parquet_file_row_count: dict[date, int] = {day: len(df) for day, df in have_tests_dfs.items()} | |
| plot_df: DataFrame = pd.DataFrame.from_dict(parquet_file_row_count, orient="index").reset_index() | |
| plot_df.columns = ["Date", "RowCount"] | |
| plot_df["Date"] = plot_df["Date"].astype(str) | |
| return BarPlot(plot_df, x="Date", y="RowCount", y_title="Addons number", y_lim=[0, None], y_axis_format="d") | |