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| import logging | |
| from typing import Dict, Any, List, Optional | |
| import pandas as pd | |
| # Configure logger for this module. Assumes logging is configured in app.py or main entry point. | |
| logger = logging.getLogger(__name__) | |
| def format_report_for_display(report_data: Optional[pd.Series]) -> Dict[str, str]: | |
| """ | |
| Enhanced report formatting. Returns a dictionary with separate HTML for the header | |
| and Markdown for the report body, allowing flexible rendering. | |
| Args: | |
| report_data: A pandas Series representing a single row from the agentic analysis DataFrame. | |
| It should contain 'report_text', 'report_type', and 'Created Date'. | |
| Returns: | |
| A dictionary with 'header_html' and 'body_markdown' keys. | |
| 'header_html' contains the HTML for the report title and subtitle. | |
| 'body_markdown' contains the raw Markdown text for the report body. | |
| If data is invalid, it returns empty state HTML for both. | |
| """ | |
| if report_data is None or report_data.empty: | |
| empty_state_html = """ | |
| <div class="empty-state"> | |
| <div class="empty-state-icon">📄</div> | |
| <div class="empty-state-title">Report Not Available</div> | |
| <div class="empty-state-description"> | |
| The selected report could not be loaded. Please try selecting a different report | |
| or refresh the page. | |
| </div> | |
| </div> | |
| """ | |
| return {'header_html': '', 'body_markdown': empty_state_html} | |
| # Extract report data | |
| # Ensure 'report_text' is treated as raw text that will be interpreted as Markdown | |
| report_text = report_data.get('report_text', '*Report content not found.*') | |
| report_type = report_data.get('report_type') | |
| created_date_str = report_data.get('Created Date') | |
| # Generate dynamic title and subtitle | |
| title = "Comprehensive Analysis Report" | |
| subtitle = "" | |
| try: | |
| if report_type == 'Quarter': | |
| title = "📈 Quarterly Insights Report" | |
| subtitle = "Strategic analysis of your quarterly performance" | |
| elif report_type == 'Week' and pd.notna(created_date_str): | |
| # Ensure pandas is used for datetime conversion | |
| created_date = pd.to_datetime(created_date_str) | |
| day_name = created_date.strftime('%A') | |
| title = f"📊 {day_name}'s Weekly Update" | |
| subtitle = f"Weekly performance analysis for {created_date.strftime('%B %d, %Y')}" | |
| except Exception as e: | |
| logger.error(f"Error generating dynamic report title: {e}") | |
| # In case of an error, default title and no subtitle will be used. | |
| # Format the report header HTML | |
| header_html = f""" | |
| <div class="report-header-content"> | |
| <h1>{title}</h1> | |
| {f'<p style="font-size: 1.1rem; color: #6b6b6b; margin-bottom: 0;">{subtitle}</p>' if subtitle else ''} | |
| </div> | |
| """ | |
| # The report_text itself should be the raw Markdown for the body | |
| body_markdown = report_text.strip() | |
| return {'header_html': header_html, 'body_markdown': body_markdown} | |
| # The following functions (extract_key_results_for_selection, format_single_okr_for_display) | |
| # are no longer needed as their functionality is now handled by the new `ui/okr_ui_generator.py` | |
| # which directly formats the full OKR structure into HTML. | |
| # The 'format_report_to_markdown' function was also removed as it was redundant and not used. | |