An asset with a service of `type``compute` has the following additional attributes under the `compute` object. This object is required if the asset is of `type``compute`, but can be omitted for `type` of `access`.
<table><thead><tr><thwidth="404.3333333333333">Attribute</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td><strong><code>allowRawAlgorithm</code></strong>*</td><td><code>boolean</code></td><td>If <code>true</code>, any passed raw text will be allowed to run. Useful for an algorithm drag & drop use case, but increases risk of data escape through malicious user input. Should be <code>false</code> by default in all implementations.</td></tr><tr><td><strong><code>allowNetworkAccess</code></strong>*</td><td><code>boolean</code></td><td>If <code>true</code>, the algorithm job will have network access.</td></tr><tr><td><strong><code>publisherTrustedAlgorithmPublishers</code></strong>*</td><td>Array of <code>string</code></td><td>If not defined, then any published algorithm is allowed. If empty array, then no algorithm is allowed. If not empty any algo published by the defined publishers is allowed.</td></tr><tr><td><strong><code>publisherTrustedAlgorithms</code></strong>*</td><td>Array of <code>publisherTrustedAlgorithms</code></td><td>If not defined, then any published algorithm is allowed. If empty array, then no algorithm is allowed. Otherwise only the algorithms defined in the array are allowed. (see below).</td></tr></tbody></table>
<table><thead><tr><thwidth="289.3333333333333">Attribute</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td><strong><code>did</code></strong></td><td><code>string</code></td><td>The DID of the algorithm which is trusted by the publisher.</td></tr><tr><td><strong><code>filesChecksum</code></strong></td><td><code>string</code></td><td>Hash of algorithm's files (as <code>string</code>).</td></tr><tr><td><strong><code>containerSectionChecksum</code></strong></td><td><code>string</code></td><td>Hash of algorithm's image details (as <code>string</code>).</td></tr></tbody></table>
To produce `filesChecksum`, call the Provider FileInfoEndpoint with parameter withChecksum = True. If algorithm has multiple files, `filesChecksum` is a concatenated string of all files checksums (ie: checksumFile1+checksumFile2 , etc)
Sometimes, the asset needs additional input data before downloading or running a Compute-to-Data job. Examples:
* The publisher needs to know the sampling interval before the buyer downloads it. Suppose the dataset URL is `https://example.com/mydata`. The publisher defines a field called `sampling` and asks the buyer to enter a value. This parameter is then added to the URL of the published dataset as query parameters: `https://example.com/mydata?sampling=10`.
* An algorithm that needs to know the number of iterations it should perform. In this case, the algorithm publisher defines a field called `iterations`. The buyer needs to enter a value for the `iterations` parameter. Later, this value is stored in a specific location in the Compute-to-Data pod for the algorithm to read and use it.
The `consumerParameters` is an array of objects. Each object defines a field and has the following structure:
Each `option` is an `object` containing a single key:value pair where the key is the option name, and the value is the option value.
<details>
<summary>Consumer Parameters Example</summary>
```json
[
{
"name": "hometown",
"type": "text",
"label": "Hometown",
"required": true,
"description": "What is your hometown?",
"default": "Nowhere"
},
{
"name": "age",
"type": "number",
"label": "Age",
"required": false,
"description": "Please fill your age",
"default": 0
},
{
"name": "developer",
"type": "boolean",
"label": "Developer",
"required": false,
"description": "Are you a developer?",
"default": false
},
{
"name": "languagePreference",
"type": "select",
"label": "Language",
"required": false,
"description": "Do you like NodeJs or Python",
"default": "nodejs",
"options": [
{
"nodejs": "I love NodeJs"
},
{
"python": "I love Python"
}
]
}
]
```
</details>
Algorithms will have access to a JSON file located at `/data/inputs/algoCustomData.json`, which contains the `keys/values` for input data required. Example:
