sc-entsoe 0.2.0
Modern, high-performance Python library for ENTSOE Transparency Platform data
License: MIT
Requires Python: >=3.11
Keywords: async, electricity, energy, entsoe, market-data, polars, power, transparency-platform

# sc-entsoe

Modern, high-performance Python library for the ENTSOE Transparency Platform.

![](./docs/banner.png)

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## ✨ Features

- **📦 Lean Package**: Only ~10-20MB - Polars optional for fast data processing
- **🚀 High Performance**: Optional Polars support for fast data processing
- **🔒 Secure**: Multi-source credential management with automatic redaction
- **🔄 Reliable**: Built-in retry logic, rate limiting, and circuit breaker
- **⚡ Modern**: Async-first with sync wrapper, full type hints
- **📊 Complete**: All ENTSOE data types (prices, generation, load, transmission, balancing)
- **☁️ Lambda-Ready**: Minimal dependencies perfect for AWS Lambda deployments

## 📦 Installation

```bash
# Minimal install (~10-20MB) - Perfect for Lambda
pip install sc-entsoe

# With Polars support for DataFrame operations (~60-120MB)
pip install sc-entsoe[polars]

# With .env file support
pip install sc-entsoe[dotenv]

# With keyring support for enhanced security
pip install sc-entsoe[keyring]

# Combine extras
pip install sc-entsoe[polars,dotenv,keyring]
```

## ⚙️ Configuration

### 1. API Key

You need a security token from [transparency.entsoe.eu](https://transparency.entsoe.eu/).

**Best Practice:** Set it as an environment variable (or in a `.env` file):

```bash
export ENTSOE_API_KEY="your-security-token-here"
```

The library automatically loads this key. You can also pass it explicitly (`EntsoeClient(api_key="...")`) or use the OS keyring.

### 2. Custom Settings

Configure retries, timeouts, and rate limits globally:

```python
from sc_entsoe import EntsoeConfig, EntsoeClient

config = EntsoeConfig(
    api_timeout=30,
    retry_attempts=3,
    rate_limit_requests=10,
    safe_logging=True
)

client = EntsoeClient(config=config)
```

### Configuration Reference

| Parameter | Environment Variable | Default | Description |
|-----------|---------------------|---------|-------------|
| `api_key` | `ENTSOE_API_KEY` | `None` | ENTSOE API security token |
| `api_base_url` | `ENTSOE_API_BASE_URL` | `https://web-api.tp.entsoe.eu/api` | API endpoint URL |
| `api_timeout` | `ENTSOE_API_TIMEOUT` | `30` | Request timeout (seconds) |
| `rate_limit_requests` | `ENTSOE_RATE_LIMIT_REQUESTS` | `10` | Max requests per second |
| `rate_limit_burst` | `ENTSOE_RATE_LIMIT_BURST` | `20` | Burst capacity |
| `retry_attempts` | `ENTSOE_RETRY_ATTEMPTS` | `3` | Number of retry attempts |
| `retry_max_wait` | `ENTSOE_RETRY_MAX_WAIT` | `10` | Max wait between retries (seconds) |
| `circuit_breaker_threshold` | `ENTSOE_CIRCUIT_BREAKER_THRESHOLD` | `5` | Failures before circuit opens |
| `circuit_breaker_timeout` | `ENTSOE_CIRCUIT_BREAKER_TIMEOUT` | `60` | Circuit cool-down (seconds) |
| `cache_enabled` | `ENTSOE_CACHE_ENABLED` | `false` | Enable response caching |
| `cache_ttl` | `ENTSOE_CACHE_TTL` | `3600` | Cache TTL (seconds) |
| `cache_max_size` | `ENTSOE_CACHE_MAX_SIZE` | `1000` | Max cache entries |
| `debug_logging` | `ENTSOE_DEBUG_LOGGING` | `false` | Enable debug logs |
| `safe_logging` | `ENTSOE_SAFE_LOGGING` | `true` | Redact API keys in logs |
| `fill_missing` | `ENTSOE_FILL_MISSING` | `true` | Fill missing intervals |
| `strict_schema` | `ENTSOE_STRICT_SCHEMA` | `false` | Strict schema validation |

## 🚀 Quick Start

### Minimal Install (No Polars)

```python
from sc_entsoe import EntsoeClient

with EntsoeClient() as client:
    # Get day-ahead prices for Germany
    result = client.get_day_ahead_prices("DE", "2024-01-01", "2024-01-02")

    # Access data as list of dictionaries (always available)
    print(result.data)  # [{'timestamp': '...', 'value': 50.0}, ...]
    print(f"Rows: {len(result.data)}")
    print(f"Metadata: {result.metadata}")
```

### With Polars (DataFrame Support)

```python
from sc_entsoe import EntsoeClient

# Install: pip install sc-entsoe[polars]
with EntsoeClient() as client:
    result = client.get_day_ahead_prices("DE", "2024-01-01", "2024-01-02")

    # Access as Polars DataFrame (requires polars extra)
    print(result.df)  # Polars DataFrame
    print(result.df.shape)
    print(result.df.head())
```

### Async

```python
import asyncio
from sc_entsoe import AsyncEntsoeClient

async def main():
    async with AsyncEntsoeClient() as client:
        # Get solar generation for France
        result = await client.get_generation_actual(
            area="FR", start="2024-01-01", end="2024-01-02", psr_type="B16"
        )

        # Use .data (always available) or .df (if polars installed)
        print(result.data)  # List of dicts
        # print(result.df)  # DataFrame (if sc-entsoe[polars] installed)

asyncio.run(main())
```

## 📚 Core Methods

The library achieves **100% parity** with the ENTSOE API. Major categories:

*   **Prices**: `get_day_ahead_prices`, `get_imbalance_prices`
*   **Generation**: `get_generation_actual`, `get_generation_forecast`, `get_wind_solar_forecast`, `get_installed_capacity`
*   **Load**: `get_load_actual`, `get_load_forecast`
*   **Transmission**: `get_crossborder_flows`, `get_scheduled_exchanges`, `get_transmission_capacity`
*   **Balancing**: `get_procured_balancing_capacity`, `get_imbalance_volumes`, `get_activated_balancing_energy`

## 📊 Data Access

The library provides two ways to access data:

### `.data` (Always Available)

Returns data as a list of dictionaries. Perfect for minimal installations and Lambda:

```python
result = client.get_day_ahead_prices("DE", "2024-01-01", "2024-01-02")

# Access raw data
for row in result.data:
    print(row["timestamp"], row["value"])

# Get row count
print(len(result.data))

# Access metadata
print(result.metadata["document_type"])
```

### `.df` (Requires Polars)

Returns a Polars DataFrame. Requires `pip install sc-entsoe[polars]`:

```python
result = client.get_day_ahead_prices("DE", "2024-01-01", "2024-01-02")

# Access as DataFrame
df = result.df
print(df.shape)
print(df.head())
print(df["value"].mean())
```

**Note**: `.df` property raises `ImportError` if Polars is not installed. Use `.data` for universal compatibility.

## 🛠 Development

```bash
git clone https://github.com/skyeenergy/sc-entsoe.git
cd sc-entsoe
uv sync --dev      # Install dependencies
uv run pytest      # Run tests
```

## 📄 License

MIT License. Built at [Skye](https://www.skye.energy/) - The energy autopilot for industries.