Parity pass on the other three language templates. Same guarantees as go/: survive server restart, client restart, half-open TCP, and long outages; rejoin and drain prime-side backlog on reconnect, without the user writing any of this in process.*. python/main.py: - grpc.keepalive_time_ms=10000, keepalive_timeout_ms=3000, keepalive_permit_without_calls=1 on the channel. Half-open TCP is detected within ~13s instead of the OS default ~2h. - Exponential backoff with jitter; max_backoff_seconds config ceiling (default 120). Attempts counter resets after a session runs healthy for 60s so transient restarts don't escalate the delay. - chain_id added as a required config field and sent as the x-chain-id gRPC metadata header (prime rejects streams without it). typescript/src/main.ts: - Same keepalive options on the @grpc/grpc-js client. - Same exponential backoff + jitter logic. - chain_id added to Config + metadata. bash/: - Config + README updated. The bash template uses Python's main.py as its runtime, so the behavioural changes above flow through without a separate main per language. Docs: each README gains a "Durability guarantees" section so contract authors see the invariants without reading the runtime code.
218 lines
6.4 KiB
Markdown
Executable File
218 lines
6.4 KiB
Markdown
Executable File
# Python Smart Contract Template
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A Python-based smart contract client for Dragonchain Prime that connects via gRPC.
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## Prerequisites
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- Python 3.10 or later
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- pip
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## Quick Start
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1. **Copy this template** to create your smart contract:
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```bash
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cp -r python /path/to/my-smart-contract
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cd /path/to/my-smart-contract
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```
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2. **Set up the environment**:
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```bash
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make setup
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source venv/bin/activate
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```
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Or without make:
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```bash
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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```
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3. **Generate the protobuf code**:
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```bash
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make proto
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```
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4. **Configure your connection** by editing `config.yaml`:
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```yaml
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server_address: "your-dragonchain-server:50051"
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chain_id: "your-chain-public-id"
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smart_contract_id: "your-smart-contract-id"
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api_key: "your-api-key"
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```
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5. **Implement your smart contract logic** in `process.py` by modifying the `process` function.
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6. **Run**:
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```bash
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python main.py --config config.yaml
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```
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## Configuration
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| Field | Description | Default |
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|-------|-------------|---------|
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| `server_address` | gRPC server address | Required |
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| `chain_id` | Public chain id the SC is registered on (sent as `x-chain-id` metadata) | Required |
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| `smart_contract_id` | Your smart contract ID | Required |
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| `api_key` | API key for authentication | Required |
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| `use_tls` | Enable TLS encryption | `false` |
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| `tls_cert_path` | Path to TLS certificate | - |
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| `num_workers` | Concurrent transaction processors | `10` |
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| `reconnect_delay_seconds` | Base delay for exponential backoff between reconnect attempts | `3` |
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| `max_backoff_seconds` | Ceiling for the exponential backoff | `120` |
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| `max_reconnect_attempts` | Max reconnect attempts (0 = infinite, recommended) | `0` |
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## Durability guarantees (provided by `main.py`, no work for you)
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- **Server restart, update, crash, or network blip** → the client auto-reconnects and resumes processing. Transactions observed while the stream was down stay queued on the Dragonchain Prime side and are delivered (oldest first) on reconnect.
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- **Client restart or long outage** → when this process comes back up (minutes, hours, months later), it rejoins the stream and prime re-delivers every still-pending transaction that should have invoked it.
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- **Half-open TCP** (silent peer, resumed laptop, corporate NAT dropping idle flows) is detected within ~13 seconds via gRPC keepalive and triggers a reconnect. No dangling ghost streams.
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- **Reconnect storms** are avoided: exponential backoff with jitter means many clients reconnecting after a server restart don't all slam `accept()` at the same instant. The timer resets after a stream has been healthy for 60 seconds.
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These are invariants of the template — you do not add any of this in `process.py`.
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## Implementing Your Smart Contract
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Edit the `process` function in `process.py`:
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```python
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def process(
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tx_json: str,
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env_vars: dict[str, str],
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secrets: dict[str, str],
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) -> ProcessResult:
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# Parse the transaction
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tx = Transaction.from_json(tx_json)
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# Access transaction data
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txn_id = tx.header.txn_id
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txn_type = tx.header.txn_type
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payload = tx.payload
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# Access environment variables
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sc_name = env_vars.get("SMART_CONTRACT_NAME")
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dc_id = env_vars.get("DRAGONCHAIN_ID")
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# Access secrets
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my_secret = secrets.get("SC_SECRET_MY_SECRET")
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# Implement your logic here
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result = {
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"status": "success",
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"data": "your result data",
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}
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return ProcessResult(
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data=result,
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output_to_chain=True, # Set to True to persist result on chain
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error=None,
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)
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```
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### Transaction Structure
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The `Transaction` class in `process.py` matches the Dragonchain transaction format:
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```python
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@dataclass
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class Transaction:
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version: str
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header: TransactionHeader
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payload: dict[str, Any]
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@dataclass
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class TransactionHeader:
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tag: str
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dc_id: str
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txn_id: str
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block_id: str
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txn_type: str
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timestamp: str
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invoker: str
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```
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### Available Environment Variables
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| Variable | Description |
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|----------|-------------|
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| `TZ` | Timezone |
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| `ENVIRONMENT` | Deployment environment |
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| `INTERNAL_ID` | Internal identifier |
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| `DRAGONCHAIN_ID` | Dragonchain ID |
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| `DRAGONCHAIN_ENDPOINT` | Dragonchain API endpoint |
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| `SMART_CONTRACT_ID` | This smart contract's ID |
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| `SMART_CONTRACT_NAME` | This smart contract's name |
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| `SC_ENV_*` | Custom environment variables |
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### Secrets
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Secrets are provided in the `secrets` dict with keys prefixed by `SC_SECRET_`.
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## Project Structure
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```
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.
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├── main.py # Client infrastructure (do not modify)
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├── process.py # Your smart contract logic (modify this)
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├── proto/
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│ └── remote_sc.proto # gRPC service definition
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├── config.yaml # Configuration file
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├── requirements.txt # Python dependencies
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├── Makefile # Build commands
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└── README.md # This file
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```
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### File Descriptions
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- **`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.
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- **`main.py`** - Contains the gRPC client infrastructure, connection handling, and worker pool. You typically don't need to modify this file.
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## Make Commands
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```bash
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make setup # Create venv and install dependencies
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make proto # Generate Python code from proto files
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make run # Run with default config
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make test # Run tests
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make clean # Remove generated files and venv
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make deps # Install dependencies (no venv)
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make format # Format code with black and isort
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```
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## Concurrent Processing
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The client uses a thread pool to process multiple transactions concurrently. The number of workers is configurable via `num_workers` in the config file.
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## Error Handling
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- Return errors from the `process` function via `ProcessResult.error` to report failures
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- The client automatically handles reconnection on connection failures
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- Logs are captured and sent back with the response
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## Docker
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Example `Dockerfile`:
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```dockerfile
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FROM python:3.11-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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RUN python -m grpc_tools.protoc \
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-I./proto \
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--python_out=. \
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--grpc_python_out=. \
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proto/remote_sc.proto
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CMD ["python", "main.py", "--config", "config.yaml"]
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```
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## License
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[Your License Here]
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