chore: remove deprecated Streamlit dashboard

Dashboard functionality replaced by React frontend in frontend/

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2026-03-14 13:41:01 -04:00
parent 874f60f0d9
commit 4405f199ba
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"""SPARC Visualization Dashboard.
A Streamlit-based dashboard for visualizing patent analysis results.
Run with: streamlit run dashboard.py
"""
import streamlit as st
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
from datetime import datetime, timedelta
from SPARC.analyzer import CompanyAnalyzer
from SPARC.database import DatabaseClient
from SPARC import config
st.set_page_config(
page_title="SPARC Dashboard",
page_icon="",
layout="wide",
initial_sidebar_state="collapsed",
)
# Modern CSS styling
st.markdown("""
<style>
/* Hide default Streamlit elements */
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
header {visibility: hidden;}
/* Root variables for theming */
:root {
--primary: #6366f1;
--primary-dark: #4f46e5;
--secondary: #0ea5e9;
--success: #10b981;
--warning: #f59e0b;
--error: #ef4444;
--bg-dark: #0f172a;
--bg-card: #1e293b;
--bg-card-hover: #334155;
--text-primary: #f8fafc;
--text-secondary: #94a3b8;
--border: #334155;
}
/* Main app background */
.stApp {
background: linear-gradient(135deg, #0f172a 0%, #1e1b4b 100%);
}
/* Top navigation bar */
.nav-container {
background: rgba(30, 41, 59, 0.8);
backdrop-filter: blur(12px);
border-bottom: 1px solid rgba(99, 102, 241, 0.2);
padding: 1rem 2rem;
margin: -1rem -1rem 2rem -1rem;
display: flex;
align-items: center;
justify-content: space-between;
}
.nav-brand {
display: flex;
align-items: center;
gap: 0.75rem;
}
.nav-brand h1 {
font-size: 1.5rem;
font-weight: 700;
background: linear-gradient(135deg, #6366f1, #0ea5e9);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
margin: 0;
}
.nav-brand span {
font-size: 0.75rem;
color: var(--text-secondary);
text-transform: uppercase;
letter-spacing: 0.1em;
}
/* Card styling */
.modern-card {
background: rgba(30, 41, 59, 0.6);
backdrop-filter: blur(8px);
border: 1px solid rgba(99, 102, 241, 0.15);
border-radius: 16px;
padding: 1.5rem;
margin-bottom: 1rem;
transition: all 0.3s ease;
}
.modern-card:hover {
border-color: rgba(99, 102, 241, 0.4);
box-shadow: 0 8px 32px rgba(99, 102, 241, 0.15);
}
/* Metric cards */
.metric-card {
background: linear-gradient(135deg, rgba(99, 102, 241, 0.1), rgba(14, 165, 233, 0.1));
border: 1px solid rgba(99, 102, 241, 0.2);
border-radius: 12px;
padding: 1.25rem;
text-align: center;
}
.metric-value {
font-size: 2rem;
font-weight: 700;
background: linear-gradient(135deg, #6366f1, #0ea5e9);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
.metric-label {
font-size: 0.875rem;
color: var(--text-secondary);
text-transform: uppercase;
letter-spacing: 0.05em;
margin-top: 0.25rem;
}
/* Section headers */
.section-header {
font-size: 1.25rem;
font-weight: 600;
color: var(--text-primary);
margin-bottom: 1rem;
padding-bottom: 0.5rem;
border-bottom: 2px solid rgba(99, 102, 241, 0.3);
}
/* Input fields */
.stTextInput > div > div > input,
.stTextArea > div > div > textarea {
background: rgba(30, 41, 59, 0.8) !important;
border: 1px solid rgba(99, 102, 241, 0.3) !important;
border-radius: 10px !important;
color: var(--text-primary) !important;
padding: 0.75rem 1rem !important;
}
.stTextInput > div > div > input:focus,
.stTextArea > div > div > textarea:focus {
border-color: var(--primary) !important;
box-shadow: 0 0 0 2px rgba(99, 102, 241, 0.2) !important;
}
/* Buttons */
.stButton > button {
background: linear-gradient(135deg, #6366f1, #4f46e5) !important;
color: white !important;
border: none !important;
border-radius: 10px !important;
padding: 0.75rem 1.5rem !important;
font-weight: 600 !important;
transition: all 0.3s ease !important;
box-shadow: 0 4px 14px rgba(99, 102, 241, 0.3) !important;
}
.stButton > button:hover {
transform: translateY(-2px) !important;
box-shadow: 0 6px 20px rgba(99, 102, 241, 0.4) !important;
}
/* Tabs styling */
.stTabs [data-baseweb="tab-list"] {
background: rgba(30, 41, 59, 0.6);
border-radius: 12px;
padding: 0.5rem;
gap: 0.5rem;
border: 1px solid rgba(99, 102, 241, 0.15);
}
.stTabs [data-baseweb="tab"] {
background: transparent;
border-radius: 8px;
color: var(--text-secondary);
padding: 0.75rem 1.5rem;
font-weight: 500;
}
.stTabs [aria-selected="true"] {
background: linear-gradient(135deg, #6366f1, #4f46e5) !important;
color: white !important;
}
.stTabs [data-baseweb="tab-border"] {
display: none;
}
.stTabs [data-baseweb="tab-highlight"] {
display: none;
}
/* Expander styling */
.streamlit-expanderHeader {
background: rgba(30, 41, 59, 0.6) !important;
border: 1px solid rgba(99, 102, 241, 0.15) !important;
border-radius: 10px !important;
color: var(--text-primary) !important;
}
.streamlit-expanderContent {
background: rgba(30, 41, 59, 0.4) !important;
border: 1px solid rgba(99, 102, 241, 0.1) !important;
border-top: none !important;
border-radius: 0 0 10px 10px !important;
}
/* Slider */
.stSlider > div > div > div {
background: var(--primary) !important;
}
/* Select box */
.stSelectbox > div > div {
background: rgba(30, 41, 59, 0.8) !important;
border: 1px solid rgba(99, 102, 241, 0.3) !important;
border-radius: 10px !important;
}
/* Progress bar */
.stProgress > div > div > div {
background: linear-gradient(90deg, #6366f1, #0ea5e9) !important;
}
/* Alerts */
.stAlert {
border-radius: 10px !important;
border: none !important;
}
/* Metrics */
[data-testid="stMetricValue"] {
background: linear-gradient(135deg, #6366f1, #0ea5e9);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
font-weight: 700;
}
[data-testid="stMetricLabel"] {
color: var(--text-secondary) !important;
}
/* Plotly charts */
.js-plotly-plot {
border-radius: 12px;
overflow: hidden;
}
/* Status badges */
.status-badge {
display: inline-block;
padding: 0.25rem 0.75rem;
border-radius: 9999px;
font-size: 0.75rem;
font-weight: 600;
text-transform: uppercase;
}
.status-success {
background: rgba(16, 185, 129, 0.2);
color: #10b981;
border: 1px solid rgba(16, 185, 129, 0.3);
}
.status-warning {
background: rgba(245, 158, 11, 0.2);
color: #f59e0b;
border: 1px solid rgba(245, 158, 11, 0.3);
}
.status-error {
background: rgba(239, 68, 68, 0.2);
color: #ef4444;
border: 1px solid rgba(239, 68, 68, 0.3);
}
/* Dividers */
hr {
border: none;
border-top: 1px solid rgba(99, 102, 241, 0.2);
margin: 1.5rem 0;
}
/* Info boxes */
.info-box {
background: linear-gradient(135deg, rgba(99, 102, 241, 0.1), rgba(14, 165, 233, 0.05));
border: 1px solid rgba(99, 102, 241, 0.2);
border-radius: 12px;
padding: 1rem 1.25rem;
margin: 1rem 0;
}
/* Feature list */
.feature-item {
display: flex;
align-items: flex-start;
gap: 0.75rem;
padding: 0.75rem 0;
border-bottom: 1px solid rgba(99, 102, 241, 0.1);
}
.feature-icon {
color: var(--primary);
font-size: 1.25rem;
}
</style>
""", unsafe_allow_html=True)
@st.cache_resource
def get_analyzer():
"""Get or create the CompanyAnalyzer instance."""
return CompanyAnalyzer()
@st.cache_resource
def get_db_client():
"""Get database client if available."""
if config.use_database:
try:
client = DatabaseClient()
client.connect()
return client
except Exception:
return None
return None
def render_header():
"""Render the modern dashboard header."""
st.markdown("""
<div class="nav-container">
<div class="nav-brand">
<h1>⚡ SPARC</h1>
<span>Semiconductor Patent Analytics</span>
</div>
</div>
""", unsafe_allow_html=True)
def render_navigation():
"""Render horizontal tab navigation at the top."""
tabs = st.tabs(["🔍 Company Analysis", "📦 Batch Analysis", "📊 Analytics", "️ About"])
return tabs
def render_company_analysis():
"""Render single company analysis page."""
st.markdown('<p class="section-header">Single Company Analysis</p>', unsafe_allow_html=True)
st.markdown("Analyze a company's patent portfolio using AI-powered insights.")
st.markdown("")
# Search card
with st.container():
col1, col2 = st.columns([3, 1])
with col1:
company_name = st.text_input(
"Company Name",
placeholder="Enter company name (e.g., nvidia, intel, amd)",
help="Enter the company name to analyze their patent portfolio",
label_visibility="collapsed",
)
with col2:
analyze_btn = st.button("🔍 Analyze", type="primary", use_container_width=True)
if analyze_btn and company_name:
with st.spinner(f"Analyzing {company_name}..."):
analyzer = get_analyzer()
result = analyzer._analyze_company_safe(company_name)
if result.success:
st.success(f"✓ Analysis complete for {company_name.upper()}")
st.markdown("")
# Metrics row with custom styling
col1, col2, col3 = st.columns(3)
with col1:
st.metric("Patents Found", result.patent_count)
with col2:
st.metric("Analysis Status", "Complete")
with col3:
st.metric("Timestamp", result.timestamp.strftime("%H:%M:%S"))
st.markdown("")
# Analysis content in a styled container
st.markdown('<p class="section-header">AI Analysis Results</p>', unsafe_allow_html=True)
with st.container():
st.markdown(result.analysis)
else:
st.error(f"Analysis failed: {result.error}")
elif not company_name and analyze_btn:
st.warning("Please enter a company name to analyze.")
def render_batch_analysis():
"""Render batch analysis page."""
st.markdown('<p class="section-header">Batch Company Analysis</p>', unsafe_allow_html=True)
st.markdown("Analyze multiple companies simultaneously for comparative insights.")
st.markdown("")
# Input section
col1, col2 = st.columns([2, 1])
with col1:
companies_input = st.text_area(
"Company Names",
placeholder="Enter company names (one per line or comma-separated):\nnvidia\namd\nintel\nqualcomm",
height=150,
label_visibility="collapsed",
)
with col2:
st.markdown("**Configuration**")
max_workers = st.slider("Concurrent Workers", 1, 5, 3, help="Number of parallel analysis threads")
st.markdown("")
analyze_btn = st.button(
"🚀 Run Batch Analysis", type="primary", use_container_width=True
)
if analyze_btn and companies_input:
# Parse company names
companies = [
c.strip()
for c in companies_input.replace(",", "\n").split("\n")
if c.strip()
]
if not companies:
st.warning("Please enter at least one company name")
return
st.info(f"🔄 Starting analysis of {len(companies)} companies...")
# Progress tracking
progress_bar = st.progress(0)
status_text = st.empty()
analyzer = get_analyzer()
def update_progress(company: str, completed: int, total: int):
progress = completed / total
progress_bar.progress(progress)
status_text.text(f"Analyzing {company}... ({completed}/{total})")
result = analyzer.analyze_companies(
companies=companies,
max_workers=max_workers,
progress_callback=update_progress,
)
progress_bar.progress(1.0)
status_text.text("✓ Analysis complete!")
st.markdown("")
# Summary metrics
st.markdown('<p class="section-header">Results Summary</p>', unsafe_allow_html=True)
col1, col2, col3, col4 = st.columns(4)
with col1:
st.metric("Total Companies", result.total_companies)
with col2:
st.metric("Successful", result.successful)
with col3:
st.metric("Failed", result.failed)
with col4:
success_rate = (
(result.successful / result.total_companies * 100)
if result.total_companies > 0
else 0
)
st.metric("Success Rate", f"{success_rate:.1f}%")
# Results chart
if result.results:
df = pd.DataFrame(
[
{
"Company": r.company_name.upper(),
"Patents": r.patent_count,
"Status": "Success" if r.success else "Failed",
}
for r in result.results
]
)
fig = px.bar(
df,
x="Company",
y="Patents",
color="Status",
color_discrete_map={"Success": "#10b981", "Failed": "#ef4444"},
title="",
)
fig.update_layout(
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
font_color="#94a3b8",
legend=dict(
orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1
),
xaxis=dict(showgrid=False),
yaxis=dict(showgrid=True, gridcolor="rgba(99, 102, 241, 0.1)"),
)
st.plotly_chart(fig, use_container_width=True)
st.markdown("")
# Individual results
st.markdown('<p class="section-header">Detailed Results</p>', unsafe_allow_html=True)
for r in result.results:
status_icon = "" if r.success else ""
status_class = "status-success" if r.success else "status-error"
with st.expander(
f"{status_icon} {r.company_name.upper()}{r.patent_count} patents"
):
if r.success:
st.markdown(r.analysis)
else:
st.error(r.error)
def render_analytics():
"""Render analytics page with database insights."""
st.markdown('<p class="section-header">Analytics Dashboard</p>', unsafe_allow_html=True)
st.markdown("Track historical analysis data and view insights.")
db_client = get_db_client()
if not db_client:
st.markdown("")
st.markdown("""
<div class="info-box">
<strong>⚠️ Database Not Connected</strong><br>
<span style="color: #94a3b8;">Set <code>USE_DATABASE=true</code> in your .env file to enable analytics tracking.</span>
</div>
""", unsafe_allow_html=True)
st.info("Analytics features require storing analysis results in PostgreSQL for historical tracking.")
return
st.markdown("")
# Time range selector
col1, col2, col3 = st.columns([1, 2, 1])
with col1:
days = st.selectbox("Time Range", [7, 14, 30, 90], index=0, format_func=lambda x: f"Last {x} days")
try:
analytics = db_client.get_analytics(days=days)
if not analytics:
st.info("No analytics data available yet. Run some analyses first!")
return
st.markdown("")
# Summary metrics
col1, col2, col3 = st.columns(3)
with col1:
total = analytics.get("total_messages", 0)
st.metric("Total Analyses", total)
with col2:
companies = len(analytics.get("by_company", {}))
st.metric("Companies Analyzed", companies)
with col3:
types = len(analytics.get("by_type", {}))
st.metric("Analysis Types", types)
st.markdown("")
# Charts
col1, col2 = st.columns(2)
with col1:
by_company = analytics.get("by_company", {})
if by_company:
df = pd.DataFrame(
[{"Company": k.upper(), "Count": v} for k, v in by_company.items()]
)
fig = px.pie(
df, values="Count", names="Company", title="Distribution by Company",
hole=0.4,
color_discrete_sequence=px.colors.sequential.Purp_r,
)
fig.update_layout(
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
font_color="#94a3b8",
)
st.plotly_chart(fig, use_container_width=True)
with col2:
by_type = analytics.get("by_type", {})
if by_type:
df = pd.DataFrame(
[{"Type": k, "Count": v} for k, v in by_type.items()]
)
fig = px.bar(df, x="Type", y="Count", title="Analysis Types",
color_discrete_sequence=["#6366f1"])
fig.update_layout(
plot_bgcolor="rgba(0,0,0,0)",
paper_bgcolor="rgba(0,0,0,0)",
font_color="#94a3b8",
xaxis=dict(showgrid=False),
yaxis=dict(showgrid=True, gridcolor="rgba(99, 102, 241, 0.1)"),
)
st.plotly_chart(fig, use_container_width=True)
st.markdown("")
# Recent messages
st.markdown('<p class="section-header">Recent Analyses</p>', unsafe_allow_html=True)
messages = db_client.get_messages(limit=10)
if messages:
for msg in messages:
with st.expander(
f"📄 {msg.get('company_name', 'Unknown').upper()}{msg.get('analysis_type', 'N/A')} ({msg.get('timestamp', 'N/A')})"
):
st.markdown(f"**Model:** `{msg.get('model', 'N/A')}`")
if msg.get("response"):
st.markdown(msg["response"][:500] + "...")
except Exception as e:
st.error(f"Error fetching analytics: {e}")
def render_about():
"""Render about page."""
st.markdown('<p class="section-header">About SPARC</p>', unsafe_allow_html=True)
col1, col2 = st.columns([2, 1])
with col1:
st.markdown("""
**SPARC** (Semiconductor Patent & Analytics Report Core) is an AI-powered patent analysis
platform that evaluates company performance by analyzing their patent portfolios
with cutting-edge language models.
""")
st.markdown("")
st.markdown("**Key Features**")
features = [
("🔍", "Patent Retrieval", "Automated collection via SerpAPI's Google Patents"),
("📄", "Intelligent Parsing", "Extracts key sections from patent documents"),
("🤖", "AI Analysis", "Deep analysis powered by Claude 3.5 Sonnet"),
("", "Batch Processing", "Analyze multiple companies concurrently"),
("🌐", "REST API", "FastAPI web service for seamless integration"),
("📊", "Analytics", "Track and visualize historical analysis data"),
]
for icon, title, desc in features:
st.markdown(f"""
<div class="feature-item">
<span class="feature-icon">{icon}</span>
<div>
<strong>{title}</strong><br>
<span style="color: #94a3b8; font-size: 0.875rem;">{desc}</span>
</div>
</div>
""", unsafe_allow_html=True)
with col2:
st.markdown("**Technology Stack**")
st.markdown("""
<div class="info-box">
<div style="display: grid; gap: 0.5rem;">
<div><span style="color: #6366f1;">Backend</span><br><span style="color: #94a3b8;">Python, FastAPI</span></div>
<div><span style="color: #6366f1;">AI Model</span><br><span style="color: #94a3b8;">Claude 3.5 Sonnet</span></div>
<div><span style="color: #6366f1;">Database</span><br><span style="color: #94a3b8;">PostgreSQL</span></div>
<div><span style="color: #6366f1;">Dashboard</span><br><span style="color: #94a3b8;">Streamlit, Plotly</span></div>
<div><span style="color: #6366f1;">Data Source</span><br><span style="color: #94a3b8;">SerpAPI Patents</span></div>
</div>
</div>
""", unsafe_allow_html=True)
st.markdown("")
st.markdown("**API Endpoints**")
st.code("http://localhost:8000/docs", language=None)
st.code("http://localhost:8000/health", language=None)
st.markdown("")
st.markdown("")
# System status
st.markdown('<p class="section-header">System Status</p>', unsafe_allow_html=True)
col1, col2, col3 = st.columns(3)
with col1:
db_client = get_db_client()
if db_client:
st.markdown("""
<div class="metric-card">
<div style="color: #10b981; font-size: 1.5rem;">●</div>
<div class="metric-label">Database</div>
<div style="color: #10b981; font-weight: 600;">Connected</div>
</div>
""", unsafe_allow_html=True)
else:
st.markdown("""
<div class="metric-card">
<div style="color: #f59e0b; font-size: 1.5rem;">●</div>
<div class="metric-label">Database</div>
<div style="color: #f59e0b; font-weight: 600;">Not Configured</div>
</div>
""", unsafe_allow_html=True)
with col2:
analyzer = get_analyzer()
if analyzer:
st.markdown("""
<div class="metric-card">
<div style="color: #10b981; font-size: 1.5rem;">●</div>
<div class="metric-label">Analyzer</div>
<div style="color: #10b981; font-weight: 600;">Ready</div>
</div>
""", unsafe_allow_html=True)
else:
st.markdown("""
<div class="metric-card">
<div style="color: #ef4444; font-size: 1.5rem;">●</div>
<div class="metric-label">Analyzer</div>
<div style="color: #ef4444; font-weight: 600;">Not Initialized</div>
</div>
""", unsafe_allow_html=True)
with col3:
st.markdown("""
<div class="metric-card">
<div style="color: #10b981; font-size: 1.5rem;">●</div>
<div class="metric-label">Dashboard</div>
<div style="color: #10b981; font-weight: 600;">Online</div>
</div>
""", unsafe_allow_html=True)
def main():
"""Main dashboard entry point."""
render_header()
tabs = render_navigation()
with tabs[0]:
render_company_analysis()
with tabs[1]:
render_batch_analysis()
with tabs[2]:
render_analytics()
with tabs[3]:
render_about()
if __name__ == "__main__":
main()