Initial commit: smart contract templates for bash, go, python, and typescript

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# Python Smart Contract Template
A Python-based smart contract client for Dragonchain Prime that connects via gRPC.
## Prerequisites
- Python 3.10 or later
- pip
## Quick Start
1. **Copy this template** to create your smart contract:
```bash
cp -r python /path/to/my-smart-contract
cd /path/to/my-smart-contract
```
2. **Set up the environment**:
```bash
make setup
source venv/bin/activate
```
Or without make:
```bash
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```
3. **Generate the protobuf code**:
```bash
make proto
```
4. **Configure your connection** by editing `config.yaml`:
```yaml
server_address: "your-dragonchain-server:50051"
smart_contract_id: "your-smart-contract-id"
api_key: "your-api-key"
```
5. **Implement your smart contract logic** in `process.py` by modifying the `process` function.
6. **Run**:
```bash
python main.py --config config.yaml
```
## Configuration
| Field | Description | Default |
|-------|-------------|---------|
| `server_address` | gRPC server address | Required |
| `smart_contract_id` | Your smart contract ID | Required |
| `api_key` | API key for authentication | Required |
| `use_tls` | Enable TLS encryption | `false` |
| `tls_cert_path` | Path to TLS certificate | - |
| `num_workers` | Concurrent transaction processors | `10` |
| `reconnect_delay_seconds` | Delay between reconnection attempts | `5` |
| `max_reconnect_attempts` | Max reconnect attempts (0 = infinite) | `0` |
## Implementing Your Smart Contract
Edit the `process` function in `process.py`:
```python
def process(
tx_json: str,
env_vars: dict[str, str],
secrets: dict[str, str],
) -> ProcessResult:
# Parse the transaction
tx = Transaction.from_json(tx_json)
# Access transaction data
txn_id = tx.header.txn_id
txn_type = tx.header.txn_type
payload = tx.payload
# Access environment variables
sc_name = env_vars.get("SMART_CONTRACT_NAME")
dc_id = env_vars.get("DRAGONCHAIN_ID")
# Access secrets
my_secret = secrets.get("SC_SECRET_MY_SECRET")
# Implement your logic here
result = {
"status": "success",
"data": "your result data",
}
return ProcessResult(
data=result,
output_to_chain=True, # Set to True to persist result on chain
error=None,
)
```
### Transaction Structure
The `Transaction` class in `process.py` matches the Dragonchain transaction format:
```python
@dataclass
class Transaction:
version: str
header: TransactionHeader
payload: dict[str, Any]
@dataclass
class TransactionHeader:
tag: str
dc_id: str
txn_id: str
block_id: str
txn_type: str
timestamp: str
invoker: str
```
### Available Environment Variables
| Variable | Description |
|----------|-------------|
| `TZ` | Timezone |
| `ENVIRONMENT` | Deployment environment |
| `INTERNAL_ID` | Internal identifier |
| `DRAGONCHAIN_ID` | Dragonchain ID |
| `DRAGONCHAIN_ENDPOINT` | Dragonchain API endpoint |
| `SMART_CONTRACT_ID` | This smart contract's ID |
| `SMART_CONTRACT_NAME` | This smart contract's name |
| `SC_ENV_*` | Custom environment variables |
### Secrets
Secrets are provided in the `secrets` dict with keys prefixed by `SC_SECRET_`.
## Project Structure
```
.
├── main.py # Client infrastructure (do not modify)
├── process.py # Your smart contract logic (modify this)
├── proto/
│ └── remote_sc.proto # gRPC service definition
├── config.yaml # Configuration file
├── requirements.txt # Python dependencies
├── Makefile # Build commands
└── README.md # This file
```
### File Descriptions
- **`process.py`** - Contains the `process` function where you implement your smart contract logic. This is the only file you need to modify for most use cases.
- **`main.py`** - Contains the gRPC client infrastructure, connection handling, and worker pool. You typically don't need to modify this file.
## Make Commands
```bash
make setup # Create venv and install dependencies
make proto # Generate Python code from proto files
make run # Run with default config
make test # Run tests
make clean # Remove generated files and venv
make deps # Install dependencies (no venv)
make format # Format code with black and isort
```
## Concurrent Processing
The client uses a thread pool to process multiple transactions concurrently. The number of workers is configurable via `num_workers` in the config file.
## Error Handling
- Return errors from the `process` function via `ProcessResult.error` to report failures
- The client automatically handles reconnection on connection failures
- Logs are captured and sent back with the response
## Docker
Example `Dockerfile`:
```dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
RUN python -m grpc_tools.protoc \
-I./proto \
--python_out=. \
--grpc_python_out=. \
proto/remote_sc.proto
CMD ["python", "main.py", "--config", "config.yaml"]
```
## License
[Your License Here]