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import gradio as gr | |
from typing import Dict, Any, List, Optional | |
import pandas as pd | |
import logging | |
logger = logging.getLogger(__name__) | |
def create_enhanced_okr_tab(): | |
""" | |
Creates a modern, visually appealing OKR tab with improved layout and styling. | |
Removes the checkbox selector for a cleaner, always-visible design. | |
Returns: | |
gr.HTML: The Gradio HTML component that will display the formatted OKRs. | |
""" | |
# Custom CSS for modern OKR styling | |
okr_custom_css = """ | |
<style> | |
/* Overall Container */ | |
.okr-container { | |
font-family: 'Inter', sans-serif; /* Using Inter font */ | |
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); | |
min-height: 100vh; | |
padding: 2rem; | |
margin: -1rem; /* Adjust margin to fill the space */ | |
box-sizing: border-box; /* Ensure padding is included in width/height */ | |
overflow-y: auto; /* Enable scrolling if content overflows */ | |
} | |
/* Header Section */ | |
.okr-header { | |
text-align: center; | |
margin-bottom: 3rem; | |
color: white; /* Keep general header text white */ | |
} | |
.okr-title { | |
font-size: 2.5rem; | |
font-weight: 700; | |
margin-bottom: 0.5rem; | |
/* Removed background-clip and text-fill-color from here */ | |
text-shadow: 0 2px 4px rgba(0,0,0,0.1); | |
display: flex; /* Use flexbox to align emoji and text */ | |
justify-content: center; | |
align-items: center; | |
gap: 0.75rem; /* Space between emoji and text */ | |
} | |
/* New class for the text content within the title */ | |
.okr-title-content { | |
background: linear-gradient(45deg, #ffffff, #e0e7ff); | |
-webkit-background-clip: text; | |
-webkit-text-fill-color: transparent; | |
background-clip: text; | |
} | |
/* Ensure emoji maintains its default color */ | |
.okr-title-emoji { | |
font-size: 2.5rem; /* Match title font size for consistent sizing */ | |
color: initial; /* Reset color to browser default for emoji */ | |
-webkit-text-fill-color: initial; /* Reset text fill for emoji */ | |
background-clip: initial; /* Reset background clip for emoji */ | |
} | |
.okr-subtitle { | |
font-size: 1.2rem; | |
opacity: 0.9; | |
font-weight: 300; | |
letter-spacing: 0.5px; | |
} | |
/* Stats Bar */ | |
.okr-stats-bar { | |
display: flex; | |
justify-content: center; | |
gap: 2rem; | |
margin: 2rem 0; | |
flex-wrap: wrap; | |
} | |
.stat-card { | |
background: rgba(255, 255, 255, 0.15); | |
backdrop-filter: blur(10px); | |
border: 1px solid rgba(255, 255, 255, 0.2); | |
border-radius: 16px; | |
padding: 1.5rem; | |
text-align: center; | |
color: white; | |
min-width: 140px; | |
transition: all 0.3s ease; | |
} | |
.stat-card:hover { | |
transform: translateY(-2px); | |
background: rgba(255, 255, 255, 0.2); | |
box-shadow: 0 8px 32px rgba(0,0,0,0.1); | |
} | |
.stat-number { | |
font-size: 2rem; | |
font-weight: 700; | |
margin-bottom: 0.25rem; | |
color: #fbbf24; /* Amber color for numbers */ | |
} | |
.stat-label { | |
font-size: 0.9rem; | |
opacity: 0.9; | |
text-transform: uppercase; | |
letter-spacing: 1px; | |
} | |
/* Main Content Area */ | |
.okr-content { | |
background: white; | |
border-radius: 24px; | |
padding: 0; | |
box-shadow: 0 20px 40px rgba(0,0,0,0.1); | |
overflow: hidden; /* Ensures rounded corners are applied to children */ | |
margin-top: 2rem; | |
} | |
/* Objective Card */ | |
.okr-objective { | |
background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%); | |
border-left: 6px solid #3b82f6; /* Blue border for objectives */ | |
margin: 2rem; /* Add margin within the white content box */ | |
border-radius: 16px; | |
overflow: hidden; | |
box-shadow: 0 4px 16px rgba(0,0,0,0.05); | |
transition: all 0.3s ease; | |
} | |
.okr-objective:hover { | |
transform: translateY(-2px); | |
box-shadow: 0 8px 24px rgba(0,0,0,0.1); | |
} | |
/* Objective Header */ | |
.objective-header { | |
padding: 2rem; | |
background: linear-gradient(135deg, #1e40af 0%, #3b82f6 100%); | |
color: white; | |
position: relative; | |
overflow: hidden; | |
} | |
.objective-header::before { | |
content: ''; | |
position: absolute; | |
top: 0; | |
left: 0; | |
right: 0; | |
bottom: 0; | |
background: url("data:image/svg+xml,%3Csvg width='40' height='40' viewBox='0 0 40 40' xmlns='http://www.w3.org/2000/svg'%3E%3Cg fill='%23ffffff' fill-opacity='0.05'%3E%3Cpath d='M20 20c0 4.4-3.6 8-8 8s-8-3.6-8-8 3.6-8 8-8 8 3.6 8 8zm0-20c0 4.4-3.6 8-8 8s-8-3.6-8-8 3.6-8 8-8 8 3.6 8 8z'/%3E%3C/g%3E%3C/svg%3E"); | |
pointer-events: none; | |
} | |
.objective-title { | |
font-size: 1.5rem; | |
font-weight: 700; | |
margin-bottom: 0.75rem; | |
position: relative; | |
z-index: 1; | |
} | |
.objective-meta { | |
display: flex; | |
gap: 2rem; | |
margin-top: 1rem; | |
flex-wrap: wrap; | |
position: relative; | |
z-index: 1; | |
} | |
.meta-item { | |
display: flex; | |
align-items: center; | |
gap: 0.5rem; | |
font-size: 0.9rem; | |
opacity: 0.9; | |
} | |
.meta-icon { | |
width: 16px; | |
height: 16px; | |
opacity: 0.8; | |
} | |
/* Key Results Container */ | |
.key-results-container { | |
padding: 2rem; /* Consistent padding for content within objectives */ | |
} | |
/* Key Result Card */ | |
.key-result { | |
background: white; | |
border: 2px solid #e5e7eb; | |
border-radius: 12px; | |
margin: 1.5rem 0; | |
overflow: hidden; | |
transition: all 0.3s ease; | |
} | |
.key-result:hover { | |
border-color: #3b82f6; | |
box-shadow: 0 4px 12px rgba(59, 130, 246, 0.1); | |
} | |
.kr-header { | |
background: linear-gradient(135deg, #f8fafc 0%, #f1f5f9 100%); | |
padding: 1.5rem; | |
border-bottom: 1px solid #e5e7eb; | |
} | |
.kr-title { | |
font-size: 1.2rem; | |
font-weight: 600; | |
color: #1e293b; | |
margin-bottom: 0.75rem; | |
} | |
.kr-metrics { | |
display: flex; | |
gap: 1.5rem; | |
flex-wrap: wrap; | |
margin-top: 1rem; | |
} | |
.kr-metric { | |
background: rgba(59, 130, 246, 0.1); | |
color: #1e40af; | |
padding: 0.5rem 1rem; | |
border-radius: 8px; | |
font-size: 0.85rem; | |
font-weight: 500; | |
border: 1px solid rgba(59, 130, 246, 0.2); | |
} | |
/* Tasks Section */ | |
.tasks-section { | |
padding: 1.5rem; | |
} | |
.tasks-title { | |
font-size: 1rem; | |
font-weight: 600; | |
color: #374151; | |
margin-bottom: 1rem; | |
display: flex; | |
align-items: center; | |
gap: 0.5rem; | |
} | |
.task-item { | |
background: #f9fafb; | |
border: 1px solid #e5e7eb; | |
border-radius: 8px; | |
padding: 1.25rem; | |
margin: 1rem 0; | |
transition: all 0.2s ease; | |
} | |
.task-item:hover { | |
background: #f3f4f6; | |
border-color: #d1d5db; | |
} | |
.task-header { | |
display: flex; | |
justify-content: space-between; | |
align-items: flex-start; | |
margin-bottom: 1rem; | |
gap: 1rem; | |
} | |
.task-title { | |
font-weight: 600; | |
color: #111827; | |
flex: 1; | |
line-height: 1.4; | |
} | |
.task-priority { | |
padding: 0.25rem 0.75rem; | |
border-radius: 12px; | |
font-size: 0.75rem; | |
font-weight: 600; | |
text-transform: uppercase; | |
letter-spacing: 0.5px; | |
white-space: nowrap; | |
} | |
/* Priority Colors */ | |
.priority-high { | |
background: #fef2f2; | |
color: #dc2626; | |
border: 1px solid #fca5a5; | |
} | |
.priority-medium { | |
background: #fffbeb; | |
color: #d97706; | |
border: 1px solid #fcd34d; | |
} | |
.priority-low { | |
background: #f0fdf4; | |
color: #16a34a; | |
border: 1px solid #86efac; | |
} | |
/* Task Details Grid */ | |
.task-details { | |
display: grid; | |
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); | |
gap: 1rem; | |
margin-top: 1rem; | |
} | |
.task-detail-item { | |
display: flex; | |
align-items: center; | |
gap: 0.5rem; | |
font-size: 0.875rem; | |
color: #6b7280; | |
} | |
.task-detail-label { | |
font-weight: 500; | |
color: #374151; | |
min-width: 80px; | |
} | |
/* Task Description/Rationale */ | |
.task-description { | |
margin-top: 1rem; | |
padding: 1rem; | |
background: white; | |
border-radius: 6px; | |
border-left: 3px solid #3b82f6; | |
font-size: 0.9rem; | |
line-height: 1.5; | |
color: #4b5563; | |
} | |
/* Empty State */ | |
.empty-state { | |
text-align: center; | |
padding: 4rem 2rem; | |
color: #6b7280; | |
} | |
.empty-state-icon { | |
font-size: 3rem; | |
margin-bottom: 1rem; | |
} | |
.empty-state-title { | |
font-size: 1.5rem; | |
font-weight: 600; | |
margin-bottom: 0.5rem; | |
color: #374151; | |
} | |
/* Loading Spinner */ | |
.loading-spinner { | |
display: inline-block; | |
width: 20px; | |
height: 20px; | |
border: 3px solid #f3f4f6; | |
border-radius: 50%; | |
border-top-color: #3b82f6; | |
animation: spin 1s ease-in-out infinite; | |
} | |
@keyframes spin { | |
to { transform: rotate(360deg); } | |
} | |
/* Responsive Adjustments */ | |
@media (max-width: 768px) { | |
.okr-container { | |
padding: 1rem; | |
} | |
.okr-title { | |
font-size: 2rem; | |
} | |
.okr-stats-bar { | |
gap: 1rem; | |
} | |
.stat-card { | |
min-width: 120px; | |
padding: 1rem; | |
} | |
.objective-meta { | |
flex-direction: column; | |
gap: 1rem; | |
} | |
.task-details { | |
grid-template-columns: 1fr; | |
} | |
.task-header { | |
flex-direction: column; | |
align-items: flex-start; | |
} | |
} | |
</style> | |
""" | |
with gr.Column(elem_classes=["okr-root-column"]): | |
# Inject custom CSS | |
gr.HTML(okr_custom_css) | |
# Main OKR display area with enhanced styling | |
okr_display_html = gr.HTML( | |
value=get_initial_okr_display(), | |
elem_classes=["okr-display"] | |
) | |
return okr_display_html | |
def get_initial_okr_display() -> str: | |
""" | |
Returns the initial HTML display for the OKR tab, showing a loading state. | |
Returns: | |
str: HTML string for the initial OKR display. | |
""" | |
return """ | |
<div class="okr-container"> | |
<div class="okr-header"> | |
<div class="okr-title"> | |
<span class="okr-title-emoji">π―</span> | |
<span class="okr-title-content">AI-Generated OKRs & Strategic Tasks</span> | |
</div> | |
<div class="okr-subtitle">Intelligent objectives and key results based on your LinkedIn analytics</div> | |
</div> | |
<div class="okr-stats-bar"> | |
<div class="stat-card"> | |
<div class="stat-number">-</div> | |
<div class="stat-label">Objectives</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">-</div> | |
<div class="stat-label">Key Results</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">-</div> | |
<div class="stat-label">Tasks</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">-</div> | |
<div class="stat-label">High Priority</div> | |
</div> | |
</div> | |
<div class="okr-content"> | |
<div class="empty-state"> | |
<div class="empty-state-icon">β³</div> | |
<div class="empty-state-title">Loading OKR Analysis</div> | |
<div class="empty-state-description"> | |
<div class="loading-spinner"></div> | |
Generating intelligent objectives and actionable tasks from your LinkedIn data... | |
</div> | |
</div> | |
</div> | |
</div> | |
""" | |
def format_okrs_for_enhanced_display(reconstruction_cache: dict) -> str: | |
""" | |
Enhanced formatting function that creates beautiful HTML for OKR display | |
from the reconstruction cache dictionary. | |
Args: | |
reconstruction_cache (dict): The reconstruction cache containing reconstructed data. | |
Expected to contain report data with 'actionable_okrs' key. | |
Returns: | |
str: A comprehensive HTML string representing the OKRs, or an empty state HTML. | |
""" | |
if not reconstruction_cache: | |
logger.warning("No reconstruction cache found for display.") | |
return get_empty_okr_state() | |
# Extract actionable_okrs from the first (and typically only) report in cache | |
for report_id, report_data in reconstruction_cache.items(): | |
if isinstance(report_data, dict) and 'actionable_okrs' in report_data: | |
raw_results = {'actionable_okrs': report_data['actionable_okrs']} | |
break | |
else: | |
logger.warning("No 'actionable_okrs' found in reconstruction cache for display.") | |
return get_empty_okr_state() | |
actionable_okrs = raw_results.get("actionable_okrs", {}) | |
okrs_list = actionable_okrs.get("okrs", []) | |
if not okrs_list: | |
logger.info("No OKRs found in 'actionable_okrs' list.") | |
return get_empty_okr_state() | |
# Calculate statistics for the stats bar | |
total_objectives = len(okrs_list) | |
total_key_results = sum(len(okr.get('key_results', [])) for okr in okrs_list) | |
total_tasks = sum( | |
len(kr.get('tasks', [])) | |
for okr in okrs_list | |
for kr in okr.get('key_results', []) | |
) | |
high_priority_tasks = sum( | |
1 for okr in okrs_list | |
for kr in okr.get('key_results', []) | |
for task in kr.get('tasks', []) | |
if task.get('priority', '').lower() == 'high' | |
) | |
# Build the HTML structure | |
html_parts = [f""" | |
<div class="okr-container"> | |
<div class="okr-header"> | |
<div class="okr-title"> | |
<span class="okr-title-emoji">π―</span> | |
<span class="okr-title-content">AI-Generated OKRs & Strategic Tasks</span> | |
</div> | |
<div class="okr-subtitle">Intelligent objectives and key results based on your LinkedIn analytics</div> | |
</div> | |
<div class="okr-stats-bar"> | |
<div class="stat-card"> | |
<div class="stat-number">{total_objectives}</div> | |
<div class="stat-label">Objectives</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">{total_key_results}</div> | |
<div class="stat-label">Key Results</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">{total_tasks}</div> | |
<div class="stat-label">Tasks</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">{high_priority_tasks}</div> | |
<div class="stat-label">High Priority</div> | |
</div> | |
</div> | |
<div class="okr-content"> | |
"""] | |
for okr_idx, okr_data in enumerate(okrs_list): | |
if not isinstance(okr_data, dict): | |
logger.warning(f"OKR item at index {okr_idx} is not a dictionary, skipping.") | |
continue | |
objective = okr_data.get('description', f"Unnamed Objective {okr_idx + 1}") | |
timeline = okr_data.get('timeline', 'Not specified') | |
owner = okr_data.get('owner', 'Not assigned') | |
html_parts.append(f""" | |
<div class="okr-objective"> | |
<div class="objective-header"> | |
<div class="objective-title">Objective {okr_idx + 1}: {objective}</div> | |
<div class="objective-meta"> | |
<div class="meta-item"> | |
<span class="meta-icon">β°</span> | |
<span>Timeline: {timeline}</span> | |
</div> | |
<div class="meta-item"> | |
<span class="meta-icon">π€</span> | |
<span>Owner: {owner}</span> | |
</div> | |
</div> | |
</div> | |
<div class="key-results-container"> | |
""") | |
key_results = okr_data.get('key_results', []) | |
if not isinstance(key_results, list) or not key_results: | |
html_parts.append('<div class="empty-state">No key results defined for this objective.</div>') | |
else: | |
for kr_idx, kr_data in enumerate(key_results): | |
if not isinstance(kr_data, dict): | |
logger.warning(f"Key Result item for Objective {okr_idx+1} at index {kr_idx} is not a dictionary, skipping.") | |
continue | |
kr_desc = kr_data.get('description', f"Unnamed Key Result {kr_idx + 1}") | |
target_metric = kr_data.get('target_metric', '') | |
target_value = kr_data.get('target_value', '') | |
kr_type = kr_data.get('key_result_type', '') | |
data_subject = kr_data.get('data_subject', '') | |
html_parts.append(f""" | |
<div class="key-result"> | |
<div class="kr-header"> | |
<div class="kr-title">Key Result {kr_idx + 1}: {kr_desc}</div> | |
<div class="kr-metrics"> | |
""") | |
if target_metric and target_value: | |
html_parts.append(f'<div class="kr-metric">Target: {target_metric} β {target_value}</div>') | |
if kr_type: | |
html_parts.append(f'<div class="kr-metric">Type: {kr_type}</div>') | |
if data_subject: | |
html_parts.append(f'<div class="kr-metric">Data Subject: {data_subject}</div>') | |
html_parts.append('</div></div>') | |
# Add tasks | |
tasks = kr_data.get('tasks', []) | |
if tasks and isinstance(tasks, list): | |
html_parts.append(""" | |
<div class="tasks-section"> | |
<div class="tasks-title"> | |
<span>π</span> | |
<span>Associated Tasks</span> | |
</div> | |
""") | |
for task_idx, task_data in enumerate(tasks): | |
if not isinstance(task_data, dict): | |
logger.warning(f"Task item for Key Result {kr_idx+1} at index {task_idx} is not a dictionary, skipping.") | |
continue | |
task_desc = task_data.get('description', f"Unnamed Task {task_idx + 1}") | |
task_category = task_data.get('category', 'General') | |
priority = task_data.get('priority', 'Medium').lower() | |
effort = task_data.get('effort', 'Not specified') | |
timeline = task_data.get('timeline', 'Not specified') | |
responsible = task_data.get('responsible_party', 'Not assigned') | |
priority_class = f"priority-{priority}" if priority in ['high', 'medium', 'low'] else 'priority-medium' | |
html_parts.append(f""" | |
<div class="task-item"> | |
<div class="task-header"> | |
<div class="task-title">{task_idx + 1}. {task_desc}</div> | |
<div class="task-priority {priority_class}">{priority.upper()}</div> | |
</div> | |
<div class="task-details"> | |
<div class="task-detail-item"> | |
<span class="task-detail-label">Category:</span> | |
<span>{task_category}</span> | |
</div> | |
<div class="task-detail-item"> | |
<span class="task-detail-label">Effort:</span> | |
<span>{effort}</span> | |
</div> | |
<div class="task-detail-item"> | |
<span class="task-detail-label">Timeline:</span> | |
<span>{timeline}</span> | |
</div> | |
<div class="task-detail-item"> | |
<span class="task-detail-label">Responsible:</span> | |
<span>{responsible}</span> | |
</div> | |
</div> | |
""") | |
# Add additional details if available | |
obj_deliverable = task_data.get('deliverable') | |
success_criteria = task_data.get('success_criteria_metrics') | |
why_proposed = task_data.get('why') | |
priority_just = task_data.get('priority_justification') | |
dependencies = task_data.get('dependencies') | |
detail_lines = [] | |
if obj_deliverable: | |
detail_lines.append(f'<strong>Objective/Deliverable:</strong> {obj_deliverable}') | |
if success_criteria: | |
detail_lines.append(f'<strong>Success Metrics:</strong> {success_criteria}') | |
if why_proposed: | |
detail_lines.append(f'<strong>Rationale:</strong> {why_proposed}') | |
if priority_just: | |
detail_lines.append(f'<strong>Priority Justification:</strong> {priority_just}') | |
if dependencies: | |
detail_lines.append(f'<strong>Dependencies:</strong> {dependencies}') | |
if detail_lines: | |
html_parts.append('<div class="task-description">') | |
html_parts.append('<br>'.join(detail_lines)) | |
html_parts.append('</div>') | |
html_parts.append('</div>') # Close task-item | |
html_parts.append('</div>') # Close tasks-section | |
else: | |
html_parts.append(""" | |
<div class="tasks-section"> | |
<div class="empty-state-small"> | |
<div class="empty-state-icon">π</div> | |
<div class="empty-state-description">No tasks defined for this Key Result.</div> | |
</div> | |
</div> | |
""") | |
html_parts.append('</div>') # Close key-result | |
html_parts.append('</div></div>') # Close key-results-container and okr-objective | |
html_parts.append('</div></div>') # Close okr-content and okr-container | |
return ''.join(html_parts) | |
def get_empty_okr_state() -> str: | |
""" | |
Returns empty state HTML for when no OKRs are available. | |
Returns: | |
str: HTML string for the empty OKR state. | |
""" | |
return """ | |
<div class="okr-container"> | |
<div class="okr-header"> | |
<div class="okr-title"> | |
<span class="okr-title-emoji">π―</span> | |
<span class="okr-title-content">AI-Generated OKRs & Strategic Tasks</span> | |
</div> | |
<div class="okr-subtitle">Intelligent objectives and key results based on your LinkedIn analytics</div> | |
</div> | |
<div class="okr-stats-bar"> | |
<div class="stat-card"> | |
<div class="stat-number">0</div> | |
<div class="stat-label">Objectives</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">0</div> | |
<div class="stat-label">Key Results</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">0</div> | |
<div class="stat-label">Tasks</div> | |
</div> | |
<div class="stat-card"> | |
<div class="stat-number">0</div> | |
<div class="stat-label">High Priority</div> | |
</div> | |
</div> | |
<div class="okr-content"> | |
<div class="empty-state"> | |
<div class="empty-state-icon">π</div> | |
<div class="empty-state-title">No OKRs Available</div> | |
<div class="empty-state-description"> | |
OKR analysis has not been generated yet or no data is available.<br> | |
Please ensure your LinkedIn data has been loaded and the AI analysis has completed. | |
</div> | |
</div> | |
</div> | |
</div> | |
""" | |