| def markdown_rows_with_info_about_one_expert(section_index: int, expert_detail_json: dict) -> list[str]: | |
| rows = [] | |
| expert_title = expert_detail_json.get('title', 'Missing title') | |
| rows.append(f"# {section_index} Expert: {expert_title}") | |
| expert_knowledge = expert_detail_json.get('knowledge', 'Missing knowledge') | |
| rows.append(f"\n**Knowledge**: {expert_knowledge}") | |
| expert_why = expert_detail_json.get('why', 'Missing why') | |
| rows.append(f"\n**Why**: {expert_why}") | |
| expert_what = expert_detail_json.get('what', 'Missing what') | |
| rows.append(f"\n**What**: {expert_what}") | |
| expert_skills = expert_detail_json.get('skills', 'Missing skills') | |
| rows.append(f"\n**Skills**: {expert_skills}") | |
| expert_search_query = expert_detail_json.get('search_query', 'Missing search_query') | |
| rows.append(f"\n**Search**: {expert_search_query}") | |
| return rows | |
| def markdown_rows_with_criticism_from_one_expert(section_index: int, expert_criticism_json: dict) -> list[str]: | |
| rows = [] | |
| rows.append("") | |
| user_primary_actions = expert_criticism_json.get('user_primary_actions', None) | |
| rows.append(f"## {section_index}.1 Primary Actions\n") | |
| if isinstance(user_primary_actions, list) and len(user_primary_actions) > 0: | |
| for action in user_primary_actions: | |
| rows.append(f"- {action}") | |
| else: | |
| rows.append("Empty") | |
| user_secondary_actions = expert_criticism_json.get('user_secondary_actions', None) | |
| rows.append(f"\n## {section_index}.2 Secondary Actions\n") | |
| if isinstance(user_secondary_actions, list) and len(user_secondary_actions) > 0: | |
| for action in user_secondary_actions: | |
| rows.append(f"- {action}") | |
| else: | |
| rows.append("Empty") | |
| follow_up_consultation = expert_criticism_json.get('follow_up_consultation', None) | |
| rows.append(f"\n## {section_index}.3 Follow Up Consultation\n") | |
| if follow_up_consultation: | |
| rows.append(follow_up_consultation) | |
| else: | |
| rows.append("Empty") | |
| start_subsection_index = 4 | |
| negative_feedback_list = expert_criticism_json.get('negative_feedback_list', []) | |
| for feedback_index, feedback_item in enumerate(negative_feedback_list): | |
| rows.append("") | |
| subsection_index = start_subsection_index + feedback_index | |
| prefix_a = f"{section_index}.{subsection_index}.A" | |
| prefix_b = f"{section_index}.{subsection_index}.B" | |
| prefix_c = f"{section_index}.{subsection_index}.C" | |
| prefix_d = f"{section_index}.{subsection_index}.D" | |
| prefix_e = f"{section_index}.{subsection_index}.E" | |
| title = feedback_item.get('feedback_title', 'Missing feedback_title') | |
| feedback_verbose = feedback_item.get('feedback_verbose', 'Missing feedback_verbose') | |
| rows.append(f"## {prefix_a} Issue - {title}\n") | |
| rows.append(feedback_verbose) | |
| problem_tag_list = feedback_item.get('feedback_problem_tags', None) | |
| rows.append(f"\n### {prefix_b} Tags\n") | |
| if isinstance(problem_tag_list, list) and len(problem_tag_list) > 0: | |
| for tag in problem_tag_list: | |
| rows.append(f"- {tag}") | |
| else: | |
| rows.append("Empty") | |
| feedback_mitigation = feedback_item.get('feedback_mitigation', None) | |
| rows.append(f"\n### {prefix_c} Mitigation\n") | |
| if feedback_mitigation: | |
| rows.append(feedback_mitigation) | |
| else: | |
| rows.append("Empty") | |
| feedback_consequence = feedback_item.get('feedback_consequence', None) | |
| rows.append(f"\n### {prefix_d} Consequence\n") | |
| if feedback_consequence: | |
| rows.append(feedback_consequence) | |
| else: | |
| rows.append("Empty") | |
| feedback_root_cause = feedback_item.get('feedback_root_cause', None) | |
| rows.append(f"\n### {prefix_e} Root Cause\n") | |
| if feedback_root_cause: | |
| rows.append(feedback_root_cause) | |
| else: | |
| rows.append("Empty") | |
| return rows |