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How to use _sort_dfs method in lisa

Best Python code snippet using lisa_python

transformer.py

Source:transformer.py

...71        all[transformer.name] = transformer72    # build new sorted results73    for transformer in transformers:74        if transformer.name not in visited:75            _sort_dfs(all, transformer, visited, sorted_transformers)76    # sort by phase: init, expanded.77    init_transformers: List[schema.Transformer] = []78    expanded_transformers: List[schema.Transformer] = []79    cleanup_transformers: List[schema.Transformer] = []80    for transformer in sorted_transformers:81        if transformer.phase == constants.TRANSFORMER_PHASE_INIT:82            init_transformers.append(transformer)83        elif transformer.phase == constants.TRANSFORMER_PHASE_EXPANDED:84            expanded_transformers.append(transformer)85        elif transformer.phase == constants.TRANSFORMER_PHASE_CLEANUP:86            cleanup_transformers.append(transformer)87        else:88            raise LisaException(f"unknown transformer phase: {transformer.phase}")89    sorted_transformers = (90        init_transformers + expanded_transformers + cleanup_transformers91    )92    # check cycle reference93    referenced: Set[str] = set()94    for transformer in sorted_transformers:95        for item in transformer.depends_on:96            if item not in referenced:97                raise LisaException(98                    f"found cycle dependent transformers: "99                    f"'{transformer.name}' and '{item}'"100                )101        referenced.add(transformer.name)102    return sorted_transformers103def _sort_dfs(104    transformers: Dict[str, schema.Transformer],105    transformer: schema.Transformer,106    visited: Set[str],107    sorted_transformers: List[schema.Transformer],108) -> None:109    visited.add(transformer.name)110    for item in transformer.depends_on:111        if item not in visited:112            dependent = transformers.get(item, None)113            if not dependent:114                raise LisaException(115                    f"transformer '{transformer.name}' "116                    f"depends on non-existing transformer "117                    f"'{item}'"118                )119            _sort_dfs(transformers, dependent, visited, sorted_transformers)120    sorted_transformers.append(transformer)121def _load_transformers(122    runbook_builder: RunbookBuilder,123    variables: Optional[Dict[str, VariableEntry]] = None,124) -> Dict[str, schema.Transformer]:125    transformers_data = runbook_builder.partial_resolve(126        partial_name=constants.TRANSFORMER, variables=variables127    )128    transformers = schema.load_by_type_many(schema.Transformer, transformers_data)129    return {x.name: x for x in transformers}130def _run_transformers(131    runbook_builder: RunbookBuilder,132    phase: str = constants.TRANSFORMER_PHASE_INIT,133) -> Dict[str, VariableEntry]:...

sma.py

Source:sma.py

...21            count_df = date_df.groupby(date_df.dt.floor("d")).size().reset_index(name=p)22            count_df[p] = count_df[p].rolling(window=self.window).mean()23            count_df.set_index("date", inplace=True)24            dfs.append(count_df)25        dfs = self._sort_dfs(dfs)26        charts = [self._plot_sma_all(dfs)]27        mid = int(len(participants) / 2)28        if self.filter_top:29            charts.append(self._plot_sma_top(dfs, mid))30        if self.filter_bottom:31            charts.append(self._plot_sma_bottom(dfs, mid))32        return charts33    def _plot_sma_all(self, dfs: List[pd.DataFrame]) -> Chart:34        ax = dfs[0].plot(35            title=f"Moving Avg of messages sent per day on a {self.window} day window for all chatters"36        )37        for i in range(1, len(dfs)):38            dfs[i].plot(ax=ax)39        return Chart(title="sma_activity_all", figure=ax.get_figure())40    def _plot_sma_top(self, dfs: List[pd.DataFrame], n: int) -> Chart:41        dfs = self._copy_dfs(dfs[:n])42        ax = dfs[0].plot(43            title=f"Moving Avg of messages sent per day on a {self.window} day window for top chatters"44        )45        for i in range(1, len(dfs)):46            dfs[i].plot(ax=ax)47        return Chart(title="sma_activity_top", figure=ax.get_figure())48    def _plot_sma_bottom(self, dfs: List[pd.DataFrame], n: int) -> Chart:49        dfs = self._copy_dfs(dfs[n:])50        ax = dfs[0].plot(51            title=f"Moving Avg of messages sent per day on a {self.window} day window for bottom chatters"52        )53        for i in range(1, len(dfs)):54            dfs[i].plot(ax=ax)55        return Chart(title="sma_activity_bottom", figure=ax.get_figure())56    def _copy_dfs(self, dfs: List[pd.DataFrame]) -> List[pd.DataFrame]:57        return [df.copy(deep=True) for df in dfs]58    def _sort_dfs(self, dfs: List[pd.DataFrame]) -> List[pd.DataFrame]:59        sender_counts = []60        for df in dfs:61            name = [c for c in df.columns][0]62            sender_counts.append((df[name].sum(), df))63        sender_counts.sort(key=lambda x: x[0], reverse=True)...

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