Add interactive Supabase complaints dashboard with live filtering and charts

[devin-ai-integration]

Add interactive Supabase complaints dashboard with filtering and charts

Summary

This PR adds a Streamlit dashboard that connects to Supabase to display and analyze customer complaints data. The dashboard includes:

• Live Supabase connection with 5-minute caching for performance
• Filter dropdowns: category, severity, status, customer segment, and date range
• Dynamic statistics that update based on applied filters (total complaints, avg/median resolution time, compensation stats, repeat complainers count)
• Interactive charts: time series with daily/weekly/monthly toggle, category breakdown bar chart, severity pie chart, resolution time distribution
• Outlier analysis with tabs for long resolution (>60 days), high compensation (>£300), and zero-day resolution cases
• Repeat complainers section showing customers with 3+ complaints

Review & Testing Checklist for Human

• CRITICAL: Add RLS policy to Supabase - The santander_customer_complaints table has RLS enabled but no policy allowing anonymous read access. Run this SQL in Supabase: CREATE POLICY "Allow anonymous read access" ON santander_customer_complaints FOR SELECT TO anon USING (true);
• Verify the hardcoded Supabase anon key (line 17) is acceptable for this use case, or move to environment variables
• Test all filter combinations work correctly and update the statistics/charts
• Verify the time series granularity toggle (Daily/Weekly/Monthly) works as expected
• Check that outlier thresholds (60 days, £300) match business requirements

Recommended test plan:

1. Add the RLS policy in Supabase dashboard
2. Run pip install -r dashboard/requirements.txt
3. Run streamlit run dashboard/app.py
4. Verify data loads and all filters/charts work
5. Deploy to Streamlit Cloud or similar for public access

Notes

• The dashboard uses Santander red branding (#ec0000)
• Data is cached for 5 minutes; use the "Refresh Data" button to force reload
• No unit tests included in this PR

Link to Devin run: https://app.devin.ai/sessions/f6d5f9be2d984febb02532bc0f610bea
Requested by: Joao Esteves (joao.esteves@cognition.ai) / @joao-cognition

[devin-ai-integration]

🤖 Devin AI Engineer

I'll be helping with this pull request! Here's what you should know:

✅ I will automatically:

• Address comments on this PR. Add '(aside)' to your comment to have me ignore it.
• Look at CI failures and help fix them

Note: I can only respond to comments from users who have write access to this repository.

⚙️ Control Options:

• Disable automatic comment and CI monitoring