LinkedinMonitor / ui /okr_ui_generator.py
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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.
This version includes full support for Gradio's dark mode and a redesigned,
more readable objective header.
Returns:
gr.HTML: The Gradio HTML component that will display the formatted OKRs.
"""
# Custom CSS for modern OKR styling with Dark Mode support
okr_custom_css = """
<style>
/* ----------------------------------------- */
/* --- THEME & COLOR VARIABLES (NEW) --- */
/* ----------------------------------------- */
:root {
--okr-bg-start: #667eea;
--okr-bg-end: #764ba2;
--header-text-color: white;
--header-text-shadow: rgba(0,0,0,0.1);
--stat-card-bg: rgba(255, 255, 255, 0.15);
--stat-card-bg-hover: rgba(255, 255, 255, 0.2);
--stat-card-border: rgba(255, 255, 255, 0.2);
--stat-number-color: #fbbf24;
--content-bg: white;
--content-shadow: rgba(0,0,0,0.1);
--objective-card-bg: #f8fafc;
--objective-card-border: #3b82f6;
--objective-header-bg: transparent; /* Cleaner header background */
--objective-title-color: #1e40af; /* Make title the colored element */
--objective-meta-text-color: #475569;
--key-result-bg: white;
--key-result-border: #e5e7eb;
--key-result-border-hover: #3b82f6;
--kr-header-bg: #f8fafc;
--kr-title-color: #1e293b;
--kr-metric-bg: rgba(59, 130, 246, 0.1);
--kr-metric-color: #1e40af;
--kr-metric-border: rgba(59, 130, 246, 0.2);
--task-item-bg: #f9fafb;
--task-item-bg-hover: #f3f4f6;
--task-item-border: #e5e7eb;
--task-item-border-hover: #d1d5db;
--task-title-color: #111827;
--task-detail-label-color: #374151;
--task-detail-text-color: #6b7280;
--task-description-bg: white;
--task-description-border: #3b82f6;
--task-description-color: #4b5563;
--priority-high-bg: #fef2f2;
--priority-high-color: #dc2626;
--priority-high-border: #fca5a5;
--priority-medium-bg: #fffbeb;
--priority-medium-color: #d97706;
--priority-medium-border: #fcd34d;
--priority-low-bg: #f0fdf4;
--priority-low-color: #16a34a;
--priority-low-border: #86efac;
}
html.dark {
--header-text-color: #e5e7eb;
--stat-card-bg: rgba(30, 41, 59, 0.5);
--stat-card-bg-hover: rgba(51, 65, 85, 0.7);
--stat-card-border: rgba(51, 65, 85, 0.8);
--content-bg: #1e293b; /* Dark background for content */
--content-shadow: rgba(0,0,0,0.4);
--objective-card-bg: #0f172a; /* Darker card background */
--objective-title-color: #60a5fa; /* Lighter blue for dark bg */
--objective-meta-text-color: #94a3b8;
--key-result-bg: #1e293b;
--key-result-border: #334155;
--key-result-border-hover: #3b82f6;
--kr-header-bg: #0f172a;
--kr-title-color: #e2e8f0;
--kr-metric-bg: rgba(59, 130, 246, 0.15);
--kr-metric-color: #93c5fd;
--kr-metric-border: rgba(59, 130, 246, 0.3);
--task-item-bg: #334155;
--task-item-bg-hover: #475569;
--task-item-border: #475569;
--task-item-border-hover: #52525b;
--task-title-color: #f1f5f9;
--task-detail-label-color: #cbd5e1;
--task-detail-text-color: #94a3b8;
--task-description-bg: #1e293b;
--task-description-border: #3b82f6;
--task-description-color: #cbd5e1;
--priority-high-bg: #450a0a;
--priority-high-color: #fca5a5;
--priority-high-border: #7f1d1d;
--priority-medium-bg: #422006;
--priority-medium-color: #fcd34d;
--priority-medium-border: #78350f;
--priority-low-bg: #062813;
--priority-low-color: #86efac;
--priority-low-border: #14532d;
}
/* Overall Container */
.okr-container {
font-family: 'Inter', sans-serif;
background: linear-gradient(135deg, var(--okr-bg-start) 0%, var(--okr-bg-end) 100%);
min-height: 100vh;
padding: 2rem;
margin: -1rem;
box-sizing: border-box;
overflow-y: auto;
}
/* Header Section */
.okr-header {
text-align: center;
margin-bottom: 3rem;
color: var(--header-text-color);
}
.okr-title {
font-size: 2.5rem;
font-weight: 700;
margin-bottom: 0.5rem;
text-shadow: 0 2px 4px var(--header-text-shadow);
display: flex;
justify-content: center;
align-items: center;
gap: 0.75rem;
}
.okr-title-content {
background: linear-gradient(45deg, #ffffff, #e0e7ff);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}
html.dark .okr-title-content {
background: linear-gradient(45deg, #e5e7eb, #9ca3af);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}
.okr-title-emoji {
font-size: 2.5rem;
-webkit-text-fill-color: initial;
}
.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: var(--stat-card-bg);
backdrop-filter: blur(10px);
border: 1px solid var(--stat-card-border);
border-radius: 16px;
padding: 1.5rem;
text-align: center;
color: var(--header-text-color);
min-width: 140px;
transition: all 0.3s ease;
}
.stat-card:hover {
transform: translateY(-2px);
background: var(--stat-card-bg-hover);
box-shadow: 0 8px 32px var(--content-shadow);
}
.stat-number {
font-size: 2rem;
font-weight: 700;
margin-bottom: 0.25rem;
color: var(--stat-number-color);
}
.stat-label {
font-size: 0.9rem;
opacity: 0.9;
text-transform: uppercase;
letter-spacing: 1px;
}
/* Main Content Area */
.okr-content {
background: var(--content-bg);
border-radius: 24px;
padding: 0;
box-shadow: 0 20px 40px var(--content-shadow);
overflow: hidden;
margin-top: 2rem;
}
/* Objective Card */
.okr-objective {
background: var(--objective-card-bg);
border-left: 6px solid var(--objective-card-border);
margin: 2rem;
border-radius: 16px;
overflow: hidden;
box-shadow: 0 4px 16px rgba(0,0,0,0.05);
transition: all 0.3s ease;
}
html.dark .okr-objective {
box-shadow: 0 4px 16px rgba(0,0,0,0.2);
}
.okr-objective:hover {
transform: translateY(-2px);
box-shadow: 0 8px 24px rgba(0,0,0,0.1);
}
html.dark .okr-objective:hover {
box-shadow: 0 8px 24px rgba(0,0,0,0.3);
}
/* --- Objective Header (REDESIGNED) --- */
.objective-header {
padding: 2rem;
background: var(--objective-header-bg);
border-bottom: 1px solid #e5e7eb; /* Subtle separator */
position: relative;
}
html.dark .objective-header {
border-bottom-color: #334155;
}
/* REMOVED distracting ::before dot pattern */
.objective-title {
font-size: 1.5rem;
font-weight: 700;
margin-bottom: 0.75rem;
position: relative;
z-index: 1;
color: var(--objective-title-color); /* Use variable */
}
.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;
color: var(--objective-meta-text-color);
}
.meta-icon {
width: 16px;
height: 16px;
opacity: 0.8;
}
/* Key Results Container */
.key-results-container {
padding: 2rem;
}
/* Key Result Card */
.key-result {
background: var(--key-result-bg);
border: 2px solid var(--key-result-border);
border-radius: 12px;
margin: 1.5rem 0;
overflow: hidden;
transition: all 0.3s ease;
}
.key-result:hover {
border-color: var(--key-result-border-hover);
box-shadow: 0 4px 12px rgba(59, 130, 246, 0.1);
}
html.dark .key-result:hover {
box-shadow: 0 4px 12px rgba(59, 130, 246, 0.2);
}
.kr-header {
background: var(--kr-header-bg);
padding: 1.5rem;
border-bottom: 1px solid var(--key-result-border);
}
.kr-title {
font-size: 1.2rem;
font-weight: 600;
color: var(--kr-title-color);
margin-bottom: 0.75rem;
}
.kr-metrics {
display: flex;
gap: 1.5rem;
flex-wrap: wrap;
margin-top: 1rem;
}
.kr-metric {
background: var(--kr-metric-bg);
color: var(--kr-metric-color);
padding: 0.5rem 1rem;
border-radius: 8px;
font-size: 0.85rem;
font-weight: 500;
border: 1px solid var(--kr-metric-border);
}
/* Tasks Section */
.tasks-section {
padding: 1.5rem;
}
.tasks-title {
font-size: 1rem;
font-weight: 600;
color: var(--task-detail-label-color);
margin-bottom: 1rem;
display: flex;
align-items: center;
gap: 0.5rem;
}
.task-item {
background: var(--task-item-bg);
border: 1px solid var(--task-item-border);
border-radius: 8px;
padding: 1.25rem;
margin: 1rem 0;
transition: all 0.2s ease;
}
.task-item:hover {
background: var(--task-item-bg-hover);
border-color: var(--task-item-border-hover);
}
.task-header {
display: flex;
justify-content: space-between;
align-items: flex-start;
margin-bottom: 1rem;
gap: 1rem;
}
.task-title {
font-weight: 600;
color: var(--task-title-color);
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: var(--priority-high-bg);
color: var(--priority-high-color);
border: 1px solid var(--priority-high-border);
}
.priority-medium {
background: var(--priority-medium-bg);
color: var(--priority-medium-color);
border: 1px solid var(--priority-medium-border);
}
.priority-low {
background: var(--priority-low-bg);
color: var(--priority-low-color);
border: 1px solid var(--priority-low-border);
}
/* 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: var(--task-detail-text-color);
}
.task-detail-label {
font-weight: 500;
color: var(--task-detail-label-color);
min-width: 80px;
}
/* Task Description/Rationale */
.task-description {
margin-top: 1rem;
padding: 1rem;
background: var(--task-description-bg);
border-radius: 6px;
border-left: 3px solid var(--task-description-border);
font-size: 0.9rem;
line-height: 1.5;
color: var(--task-description-color);
}
/* Empty State */
.empty-state {
text-align: center;
padding: 4rem 2rem;
color: var(--task-detail-text-color);
}
.empty-state-icon {
font-size: 3rem;
margin-bottom: 1rem;
}
.empty-state-title {
font-size: 1.5rem;
font-weight: 600;
margin-bottom: 0.5rem;
color: var(--task-title-color);
}
/* Loading Spinner */
.loading-spinner {
display: inline-block;
width: 20px;
height: 20px;
border: 3px solid var(--task-item-bg-hover);
border-radius: 50%;
border-top-color: var(--objective-card-border);
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">🎯</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">⏳</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">🎯</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">⏰</span>
<span>Timeline: {timeline}</span>
</div>
<div class="meta-item">
<span class="meta-icon">πŸ‘€</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>πŸ“‹</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">πŸ“„</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">🎯</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>
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<div class="okr-stats-bar">
<div class="stat-card">
<div class="stat-number">0</div>
<div class="stat-label">Objectives</div>
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<div class="stat-card">
<div class="stat-number">0</div>
<div class="stat-label">Key Results</div>
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<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">πŸ“‹</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>
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