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| """ | |
| File: calculate_practical_tasks.py | |
| Author: Elena Ryumina and Dmitry Ryumin | |
| Description: Event handler for Gradio app to calculate practical tasks. | |
| License: MIT License | |
| """ | |
| from app.oceanai_init import b5 | |
| import gradio as gr | |
| import pandas as pd | |
| # Importing necessary components for the Gradio app | |
| from app.config import config_data | |
| from app.components import html_message, dataframe, files_create_ui | |
| def event_handler_calculate_practical_task_blocks( | |
| practical_tasks, practical_subtasks, pt_scores | |
| ): | |
| if practical_subtasks.lower() == "professional skills": | |
| df_professional_skills = pd.read_csv(config_data.Links_PROFESSIONAL_SKILLS) | |
| df_professional_skills.index.name = "ID" | |
| df_professional_skills.index += 1 | |
| df_professional_skills.index = df_professional_skills.index.map(str) | |
| b5._priority_skill_calculation( | |
| df_files=pt_scores.iloc[:, 1:], | |
| correlation_coefficients=df_professional_skills, | |
| threshold=0.5, | |
| out=True, | |
| ) | |
| # Optional | |
| df = b5.df_files_priority_skill_.rename( | |
| columns={ | |
| "Openness": "OPE", | |
| "Conscientiousness": "CON", | |
| "Extraversion": "EXT", | |
| "Agreeableness": "AGR", | |
| "Non-Neuroticism": "NNEU", | |
| } | |
| ) | |
| columns_to_round = df.columns[1:] | |
| df[columns_to_round] = df[columns_to_round].apply( | |
| lambda x: [round(i, 3) for i in x] | |
| ) | |
| df.to_csv(config_data.Filenames_PT_SKILLS_SCORES) | |
| df.reset_index(inplace=True) | |
| return ( | |
| dataframe( | |
| headers=df.columns.tolist(), | |
| values=df.values.tolist(), | |
| visible=True, | |
| ), | |
| files_create_ui( | |
| config_data.Filenames_PT_SKILLS_SCORES, | |
| "single", | |
| [".csv"], | |
| config_data.OtherMessages_EXPORT_PS, | |
| True, | |
| False, | |
| True, | |
| "csv-container", | |
| ), | |
| html_message(config_data.InformationMessages_NOTI_IN_DEV, False, False), | |
| ) | |
| else: | |
| gr.Info(config_data.InformationMessages_NOTI_IN_DEV) | |
| return ( | |
| dataframe(visible=False), | |
| files_create_ui( | |
| None, | |
| "single", | |
| [".csv"], | |
| config_data.OtherMessages_EXPORT_PS, | |
| True, | |
| False, | |
| False, | |
| "csv-container", | |
| ), | |
| html_message(config_data.InformationMessages_NOTI_IN_DEV, False, True), | |
| ) | |