Michelson Encoder
The purpose of the Michelson-Encoder
package is to create an abstraction over the Michelson Language. It allows converting Michelson data into javascript-looking objects which are easier to use and reason about.
Its integration into the main Taquito
package makes it easier to write the storage when deploying a contract and the parameter when calling a contract entry-point.
How it works?
There are three main classes in the Michelson Encoder:
Token
ParameterSchema
Schema
Here is a class diagram showing their members, methods, and relations.
A specific token class in the package represents each different Michelson type (i.e., nat
, list
, pair
, or
, ...). Each of these classes extends the abstract class Token
and needs to implement these four inherited abstract methods:
Execute
: To convert Michelson data into familiar-looking javascript dataEncode
: To convert javascript array data to JSON MichelsonEncodeObject
: To convert javascript object data to JSON MichelsonGenerateSchema
: To show how the data should be structured in the javascript object formatExtractSchema
: [deprecated] To show how the data should be structured in the javascript array format
We can reason about Michelson types and data as tree structures. Thus, the methods of the Token
class use recursion to iterate over a Michelson parameter and create a specific token for each Michelson type encountered (i.e., each node and leaf of the tree).
The constructors of the ParameterSchema
and Schema
classes take a MichelsonV1Expression
as a parameter (i.e., a Michelson type in JSON format). These two classes have a composition relationship with the Token
class as they have a private member named root
, which is a Token
instance corresponding to the root type of the Michelson parameter. The root is the starting point of the recursive calls.
The Schema class
In this section, we will use the schema class to represent the storage of a smart contract.
Create a Schema instance
We can create an instance of Schema
representing a contract's storage using the constructor and passing the storage type in Michelson JSON format or using the fromRPCResponse
method. This second way allows creating the Schema
instance with the script of the contract obtained from the getScript
method of the RpcClient
class.
Here are examples:
const storageType = {prim: 'pair',args: [{ prim: 'nat', annots: [ '%stored_counter' ] },{prim: 'pair',args: [{ prim: 'nat', annots: [ '%threshold' ] },{ prim: 'list', args: [ { prim: 'key' } ], annots: [ '%keys' ] }]}]};const storageSchema = new Schema(storageType);
or
const script = await Tezos.rpc.getScript('KT1MTFjUeqBeZoFeW1NLSrzJdcS5apFiUXoB');const storageSchema = Schema.fromRPCResponse({ script });
The GenerateSchema method
We can use this method to obtain indications on how to write the storage when deploying a contract.
Here is an example with a contract storage having annotations and a pair
at its root. The ExtractSchema
method returns an object where the keys are the annotations, and the values show the corresponding type.
When there is no annotation, the keys of the object are indexes starting from 0.
Here is another example using a complex storage:
The Typecheck method
We can use the Typecheck
method to validate the storage object. The method takes the storage object as a parameter and returns true
if the storage object is compliant with the schema type or false
. Validation of the properties is done. For example, the key used in the following code snippet is invalid, so the returned value of the Typecheck
method is false.
The Encode method
We use the Encode
method to transform data from a javascript object to Michelson data.
Here is an example:
The Execute method
We use the Execute
method to transform data from Michelson to a javascript object.
Here is an example:
The Execute
method takes an optional parameter of type Semantic
. It allows overriding the default representation returned by the Michelson Encoder for specific types.
Here is an example for the big_map
type:
If we have a contract having a big map in its storage, when we fetch the contract's storage with the RPC, the returned value looks like the following { int: big_map_id }
.
In the Taquito main package, the getStorage
method of the ContractProvider
class uses the semantic parameter to override the representation of big map in the storage. When we fetch the storage of a contract using Tezos.contract.getStorage('contractAddress')
, an instance of the BigMapAbstraction
class is returned for the big map instead of its id.
Here is an example for the ticket
type:
How the Schema class is used inside Taquito
The Schema
class is internally used in Taquito:
- When calling
Tezos.contract.getStorage()
: It allows returning a well-formatted JSON object of the contract storage using theExecute
method to convert the Michelson data into familiar-looking javascript data. - When fetching a bigmap key with
BigMapAbstraction.get()
orRpcContractProvider.getBigMapKey()
: It transforms the key we want to fetch into Michelson using theEncodeBigMapKey
method, and it transforms the fetched value into a javascript object using theExecuteOnBigMapValue
. - When deploying a contract:
The
Encode
method allows transforming the javascript object used for the storage into Michelson data. - In the tzip16 package:
The
FindFirstInTopLevelPair
method allows finding a value in the storage matching a specified type (in this case, the big map named metadata).
The ParameterSchema class
The ParameterSchema
class is used to represent the smart contract methods. This class is similar to the Schema
class except that the Encode
method expects flattened parameters instead of a javascript object where encodeObject
method expects javascript object.
Here is an example of encode
:
Here is an example of encodeObject
:
How the ParameterSchema class is used inside Taquito
The ParameterSchema
class is internally used in Taquito:
- When we call a method, or a view of a contract using the
ContractAbstraction
class, theEncode
method is used to transform the parameters into Michelson data. - In the
tzip16
package, when we execute a Michelson view, theEncode
method is used to transform the parameters into Michelson data.
Flattening nested tokens (pair/union)
In the Michelson language, we can have nested pair
s or unions (or
). For example, the following Michelson type is a nested pair
:
We can also have a similar definition without the annotations:
In Taquito, we will flatten these nested pair
s to make it easier to use them in typescript dApps. Please note how the result of generateSchema
is different in the annotated vs non-annotated cases:
//annotatedSchema:{"stored_counter": "nat","threshold": "nat","keys": {"list": "key"}}//noAnnotationsSchema:{"0": "nat","1": "nat","2": {"list": "key"}}
Here, Taquito developers have made two decisions:
- The elements of the nested
pair
s are flattened into a single object. - The keys of the object are:
- the annotations, if they exist
- the index of the element otherwise.
Formally speaking, the fields are the leaves of the three, ordered by traversing the tree (because we omit inner nodes of the tree, there is no difference between pre-order, in-order, or post-order traversal). Also, in case you have a mixture of annotated and non-annotated fields, the fields numbers will keep increasing, even though annotated fields are named.
Unions
For unions (or
), we flatten them similarly, so instead of having left
and right
to refer to fields, you use the field number or annotation.