agent

type Agent ¶

type Agent interface {
	Tick(v SimState) ([]message, error)
}

type MinerAgent ¶

type MinerAgent struct {
	Config        MinerAgentConfig // parameters used to define miner prior to creation
	Owner         address.Address
	Worker        address.Address
	IDAddress     address.Address
	RobustAddress address.Address
	// contains filtered or unexported fields
}

func NewMinerAgent(owner address.Address, worker address.Address, idAddress address.Address, robustAddress address.Address,
	rndSeed int64, config MinerAgentConfig,
) *MinerAgent

func (ma *MinerAgent) Tick(s SimState) ([]message, error)

type MinerAgentConfig ¶

type MinerAgentConfig struct {
	PrecommitRate   float64                 // average number of PreCommits per epoch
	ProofType       abi.RegisteredSealProof // seal proof type for this miner
	StartingBalance abi.TokenAmount         // initial actor balance for miner actor
	FaultRate       float64                 // rate at which committed sectors go faulty (faults per committed sector per epoch)
	RecoveryRate    float64                 // rate at which faults are recovered (recoveries per fault per epoch)
}

type MinerGenerator ¶

type MinerGenerator struct {
	// contains filtered or unexported fields
}

func NewMinerGenerator(accounts []address.Address, config MinerAgentConfig, createMinerRate float64, rndSeed int64) *MinerGenerator

func (mg *MinerGenerator) Tick(_ SimState) ([]message, error)

type RateIterator ¶

type RateIterator struct {
	// contains filtered or unexported fields
}

RateIterator can be used to model poisson process (a process with discreet events occurring at arbitrary times with a specified average rate). It's Tick function must be called at regular intervals with a function that will be called zero or more times to produce the event distribution at the correct rate.

func NewRateIterator(rate float64, seed int64) *RateIterator

func (ri *RateIterator) Tick(f func() error) error

func (ri *RateIterator) TickWithRate(rate float64, f func() error) error

type Sim ¶

type Sim struct {
	Config SimConfig
	Agents []Agent

	WinCount     uint64
	MessageCount uint64
	// contains filtered or unexported fields
}

Sim is a simulation framework to exercise actor code in a network-like environment. It's goal is to simulate realistic call sequences and interactions to perform invariant analysis and test performance assumptions prior to shipping actor code out to implementations. The model is that the simulation will "Tick" once per epoch. Within this tick: * It will first compute winning tickets from previous state for miners to simulate block mining. * It will create any agents it is configured to create and generate messages to create their associated actors. * It will call tick on all it agents. This call will return messages that will get added to the simulated "tipset". * Messages will be shuffled to simulate network entropy. * Messages will be applied and an new VM will be created from the resulting state tree for the next tick.

func NewSim(ctx context.Context, t testing.TB, bs ipldcbor.IpldBlockstore, config SimConfig) *Sim

func (s *Sim) AddAgent(a Agent)

func (s *Sim) GetCallStats() map[vm.MethodKey]*vm.CallStats

func (s *Sim) GetEpoch() abi.ChainEpoch

func (s *Sim) GetState(addr address.Address, out cbor.Unmarshaler) error

func (s *Sim) GetVM() *vm.VM

func (s *Sim) Rnd() int64

func (s *Sim) Store() adt.Store

func (s *Sim) Tick() error

type SimConfig ¶

type SimConfig struct {
	AccountCount           int
	AccountInitialBalance  abi.TokenAmount
	Seed                   int64
	CreateMinerProbability float32
}

type SimState ¶

type SimState interface {
	GetEpoch() abi.ChainEpoch
	GetState(addr address.Address, out cbor.Unmarshaler) error
	Store() adt.Store
	AddAgent(a Agent)
	Rnd() int64
}