#!/bin/bash

# Run example analysis

set -e

echo "🧪 Running ContextLab example..."

# Create example documents if they don't exist

mkdir -p examples/sample_docs

if [ ! -f "examples/sample_docs/wiki_1.md" ]; then

echo "Creating sample documents..."

cat > examples/sample_docs/wiki_1.md << 'EOF'

# Machine Learning

Machine learning (ML) is a field of study in artificial intelligence concerned with

the development and study of statistical algorithms that can learn from data and

generalize to unseen data, and thus perform tasks without explicit instructions.

## History

The term "machine learning" was coined in 1959 by Arthur Samuel, an IBM employee

and pioneer in the field of computer gaming and artificial intelligence.

## Types of Learning

Machine learning approaches are traditionally divided into three broad categories:

1. **Supervised learning**: The algorithm learns from labeled training data

2. **Unsupervised learning**: The algorithm learns patterns from unlabeled data

3. **Reinforcement learning**: The algorithm learns through trial and error

EOF

cat > examples/sample_docs/wiki_2.md << 'EOF'

# Artificial Intelligence

Artificial intelligence (AI) is the intelligence of machines or software, as opposed

to the intelligence of humans or animals. It is also the field of study in computer

science that develops and studies intelligent machines.

## Applications

AI has many applications across various industries:

- Natural language processing

- Computer vision

- Robotics

- Expert systems

- Autonomous vehicles

## Machine Learning

Machine learning is a subset of artificial intelligence that focuses on the

development of algorithms that can learn from and make predictions or decisions

based on data. It has become increasingly important in recent years.

EOF

fi

# Run analysis with mock mode (no API key required)

echo "📊 Analyzing documents..."

contextlab analyze examples/sample_docs/*.md \

--model gpt-4o-mini \

--chunk-size 256 \

--overlap 30 \

--out .contextlab \

--mock

# Get the run ID (last line of output)

RUN_ID=$(ls -t .contextlab/runs | head -1)

echo "✅ Analysis complete! Run ID: $RUN_ID"

# Visualize results

echo "📈 Visualizing results..."

contextlab viz "$RUN_ID" --headless

echo ""

echo "🎉 Example complete!"

echo ""

echo "To view in web UI:"

echo " 1. Start API: make api"

echo " 2. Start web UI: cd web && npm run dev"

echo " 3. Navigate to: http://localhost:5173/runs/$RUN_ID"