5ee12d78e7
- Delete root auth/ directory (legacy Flask providers, orphaned) - Clean requirements.txt: remove Flask, gunicorn, authlib, sendgrid, anthropic, openai, argon2-cffi (9 unused deps) - Fix hash computation in orchestrator: MD5 of parquet mtime+size (CLI sync now skips unchanged tables correctly) - Migrate pip → uv in CLAUDE.md, scripts/init.sh, pyproject.toml - Sync pyproject.toml dependencies with requirements.txt 578 tests passing.
112 lines
3.1 KiB
Bash
Executable file
112 lines
3.1 KiB
Bash
Executable file
#!/bin/bash
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# init.sh - Initialization script for AI Data Analyst Tool
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#
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# This script sets up the project for first use:
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# 1. Creates Python virtual environment
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# 2. Installs dependencies
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# 3. Creates necessary folders
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# 4. Copies .env template
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set -e # Exit on error
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echo "Initializing AI Data Analyst..."
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echo ""
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# Check Python version
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echo "1️⃣ Checking Python..."
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if ! command -v python3 &> /dev/null; then
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echo "❌ Python 3 is not installed. Install Python 3.8 or newer."
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exit 1
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fi
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PYTHON_VERSION=$(python3 --version 2>&1 | awk '{print $2}')
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echo " ✅ Python version: $PYTHON_VERSION"
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# Create virtual environment
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echo ""
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echo "2️⃣ Creating virtual environment..."
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if [ -d ".venv" ]; then
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echo " ⚠️ .venv already exists, skipping..."
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else
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python3 -m venv .venv
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echo " ✅ Virtual environment created"
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fi
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# Activate venv
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echo ""
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echo "3️⃣ Activating virtual environment..."
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source .venv/bin/activate
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echo " ✅ Virtual environment activated"
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# Install uv if not available
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echo ""
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echo "4️⃣ Checking uv..."
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if ! command -v uv &> /dev/null; then
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echo " Installing uv..."
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curl -LsSf https://astral.sh/uv/install.sh | sh
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fi
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echo " ✅ uv available"
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# Install dependencies
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echo ""
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echo "5️⃣ Installing dependencies from requirements.txt..."
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uv pip install -r requirements.txt --quiet
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echo " ✅ Dependencies installed"
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# Create folders
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echo ""
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echo "6️⃣ Creating data folders..."
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# Load DATA_DIR from .env (default: ./data)
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if [ -f ".env" ]; then
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DATA_DIR=$(grep -E "^DATA_DIR=" .env | cut -d'=' -f2 | tr -d '"' | tr -d "'" || echo "./data")
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fi
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DATA_DIR="${DATA_DIR:-./data}"
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mkdir -p "${DATA_DIR}/parquet"
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mkdir -p "${DATA_DIR}/metadata"
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mkdir -p "${DATA_DIR}/staging"
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mkdir -p "${DATA_DIR}/duckdb"
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echo " ✅ Folders created in ${DATA_DIR}:"
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echo " - parquet/ (Parquet files - subfolders created automatically)"
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echo " - metadata/ (sync state, cache)"
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echo " - staging/ (temporary files during sync)"
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echo " - duckdb/ (DuckDB database)"
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# Copy .env template
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echo ""
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echo "7️⃣ Setting up .env file..."
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if [ -f ".env" ]; then
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echo " ⚠️ .env already exists, keeping it..."
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else
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cp config/.env.template .env
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echo " ✅ .env created from template"
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echo ""
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echo " How to set up:"
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echo " 1. Copy config/instance.yaml.example to config/instance.yaml"
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echo " 2. Fill in your data source credentials in .env"
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echo " 3. Configure your instance settings in config/instance.yaml"
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echo ""
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fi
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# Test configuration
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echo ""
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echo "8️⃣ Testing configuration..."
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if python3 -c "from src.config import get_config; get_config()" 2>/dev/null; then
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echo " ✅ Configuration is valid"
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else
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echo " ⚠️ Configuration not complete yet (expected - fill in .env)"
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fi
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# Done
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echo ""
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echo "✅ Initialization complete!"
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echo ""
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echo "Next steps:"
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echo " 1. Configure config/instance.yaml and .env"
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echo " 2. Run './scripts/update.sh' to sync data"
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echo " 3. Use Claude Code to analyze the data!"
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echo ""
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echo "💡 Tip: Activate virtual environment with 'source .venv/bin/activate'"
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echo ""
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