def main(csv, interactive, cjk_support, conf, yaml, package_yaml, sponsor_yaml, output_path): conf_singlet = report_generatorconfig.Configuration.get_instance() conf_singlet.read_configuration(template) if conf: logger.debug("User customized conf is specified: %s" % conf_singlet) conf_singlet.read_configuration(conf) # welcome user, ask year of data year = vtext.welcome_ask_year(interactive) frames = [] for csv_single in csv: csv_index = csv.index(csv_single) df = report_generatorcsv.csv_to_dataframe(csv_single) # select necessary columns from df df = vtext.select_column(df, interactive, csv_index) frames.append(df) df_all = pd.concat(frames, join="outer", axis=0, ignore_index=True) # all raw data is imported. let's call analyzer to do something df_all = ag.add_cat_title(df_all) df_all = df_all.fillna(value="No Record") df_all = ag.get_sanity_data(df_all, cjk_support) # all datafram general data object df_all_g_data_obj = attendee.Attendee(df_all) # analyzed data frame is ready. let's plot figs = plotter.plot_counts(df_all, year, cjk_support) # read the other report data report_yaml = report_generatoryaml.read_yaml(yaml) sponsors = apsponsor.get_all_sponsors(package_yaml, sponsor_yaml) # generate the report # general info (everyone could see it): # figs: plots from attendee dataframe # df_all_g_data_obj: numbers from attendee dataframe # report_yaml: plot description of figs # sponsors: # sponsor specific information based on yaml descriptor exporter_html.generate(figs, report_yaml, df_all_g_data_obj, sponsors, output_path) print("Analysis process finished completely.")
def main( csv, talks_csv, proposed_talks_csv, booth_csv, interactive, cjk_support, conf, yaml, package_yaml, sponsor_yaml, output_path, ): conf_singlet = report_generatorconfig.Configuration.get_instance() conf_singlet.read_configuration(template) if conf: logger.debug("User customized conf is specified: %s" % conf_singlet) conf_singlet.read_configuration(conf) # welcome user, ask year of data year = vtext.welcome_ask_year(interactive) frames = [] for csv_single in csv: csv_index = csv.index(csv_single) df = report_generatorcsv.csv_to_dataframe(csv_single) # select necessary columns from df df = vtext.select_column(df, interactive, csv_index) frames.append(df) df_all = pd.concat(frames, join="outer", axis=0, ignore_index=True) # all raw data is imported. let's call analyzer to do something df_all = ag.add_cat_title(df_all) df_all = df_all.fillna(value="No Record") df_all = ag.get_sanity_data(df_all, cjk_support) # all datafram general data object df_all_g_data_obj = attendee.Attendee(df_all) # analyzed data frame is ready. let's plot attendee data figs = plotter.plot_attendee_counts(df_all, year, cjk_support) # prepared the selected topic pie chart talks_df = report_generatorcsv.csv_to_dataframe(talks_csv) talks_fig = plotter.plot_talk_categories(talks_df) figs.update(talks_fig) # prepared the proposed topic pie chart p_talks_df = report_generatorcsv.csv_to_dataframe(proposed_talks_csv) p_talks_fig = plotter.plot_talk_categories(p_talks_df, fig_title="Proposed_Topics") figs.update(p_talks_fig) booth_df = report_generatorcsv.csv_to_dataframe(booth_csv) # TODO: if we want to enhance the issue #11 in the future like #23, we may start here by using the returned value plotter.plot_booth(booth_df, "booth") # read the other report data report_yaml = report_generatoryaml.read_yaml(yaml) sponsors = apsponsor.get_all_sponsors(package_yaml, sponsor_yaml) accepted_talk_number = talks_df["category"].value_counts().sum() all_talk_number = p_talks_df["category"].value_counts().sum() talk_info_ratio = accepted_talk_number / all_talk_number talk_info = "{:.1%}".format(talk_info_ratio) # generate the report # general info (everyone could see it): # figs: plots from attendee dataframe and talks # df_all_g_data_obj: numbers from attendee dataframe # report_yaml: plot description of figs # sponsors: # sponsor specific information based on yaml descriptor exporter_html.generate(figs, report_yaml, df_all_g_data_obj, sponsors, talk_info, "sponsor.html", output_path=output_path) # summary for internal review exporter_html.generate_summary(figs, report_yaml, df_all_g_data_obj, sponsors, talk_info, "internal.html", "internal-post-event", output_path) print("Analysis process finished completely.")
def sponsors(self): return sponsor.get_all_sponsors("test/data/packages.yaml", "test/data/sponsors.yaml")