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Getting accurate timestamps can be problematic in various contexts including blockchains. Timestamp oracles can alleviate this concern by aggregating and processing a variety of timestamp sources into a point- or range-estimate. Of course, the acquisition of accurate timestamps not subject to manipulation is a critical attribute of a good oracle. The Fluence peer-to-peer network offers a large number of independent nodes that can serve as timestamp sources from either Kademilia or TrustGraph neighborhoods.
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**Note: The timestamps are currently** **not** **signed by the nodes. But that could be easily addressed.**
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**Note: The timestamps are currently** **not** **signed by the peers. But that could be easily addressed.**
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For this tutorial, we'll be using Fluence's new `fluence` CLI tool, which wraps the CLIs you have already been using, e.g., the `aqua` CLI and Marine tooling CLIs (`marine` and `mrepl`), and brings additional features such as project template generation, wrapper generation for deployed services, project dependencies install. See the [Fluence CLI docs](https://github.com/fluencelabs/fluence-cli#readme) for more information.
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@ -25,7 +25,7 @@ Marine is a general-purpose Wasm runtime and toolkit, it allows developers to bu
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### Setup
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In order to run the entire code base, Rust and Node are required. If necessary see [Install Rust](https://www.rust-lang.org/tools/install) and [NVM](https://github.com/nvm-sh/nvm) for details.
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In order to run the entire code base, Rust and Node.js are required. If necessary see [Install Rust](https://www.rust-lang.org/tools/install) and [NVM](https://github.com/nvm-sh/nvm) for details.
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Install the Fluence CLI by running the following command:
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@ -51,7 +51,7 @@ Minimal supported versions
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app service was created with service id = 5e21f219-0482-49d8-bc99-bd2c05bbfefa
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elapsed time 131.785135ms
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1> i
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1> interface
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Loaded modules interface:
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exported data types (combined from all modules):
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data Oracle:
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@ -71,7 +71,7 @@ result: Object({"err_str": String(""), "freq": Number(2), "mode": Number(1661345
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3> q
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```
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On the 1st step, we explored our module interface and data using the `i` command, on the 2nd we made a call of the `point_estimate` function from the `ts_oracle` interface.
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On the 1st step, we explored our module interface and data using the `interface` command, on the 2nd we made a call of the `point_estimate` function from the `ts_oracle` interface.
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If you navigate to our module directory `ts-oracle/modules/ts-oracle`, you can also unit test the code with
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@ -186,6 +186,7 @@ func ts_getter() -> []u64:
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try:
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res <- Peer.timestamp_ms()
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-- whether we get res from all the nodes or rtt milliseconds passed, return res
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-- using a race pattern to achieve that
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join res[Op.array_length(nodes) - 1]
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par Peer.timeout(rtt, msg)
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@ -206,6 +207,8 @@ func ts_oracle(min_points: u32) -> Oracle:
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<- oracle -- and return to initiating peer
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```
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Note that we use a [race pattern](https://doc.fluence.dev/aqua-book/language/flow/parallel#timeout-and-race-patterns) in the `ts_getter` function so we can limit the execution time of a part of our Aqua script where we collect timestamps. And in our `ts_oracle` function we access peer id and service id with `services.tsOracle.default!` which gives access to [the first element in the array](https://doc.fluence.dev/aqua-book/language/types#collection-types).
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We can run our Aqua `ts_oracle` function against the deployed processing service to get our oracle point estimate using `fluence run`:
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```bash
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@ -214,7 +217,7 @@ We can run our Aqua `ts_oracle` function against the deployed processing service
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-f 'ts_oracle(5)'
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```
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Please note that with `fluence run` we don't provide both the peer id and service id for our service. However, this information is used implicitly by the CLI tool, and is taken from definitions located in `.fluence/app.yaml` generated upon successful deployment.
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Please note that with `fluence run` we don't provide both the peer id and service id for our service. This information is fetched by the CLI tool, and is taken from definitions located in `.fluence/app.yaml` generated upon successful deployment.
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The run results in below but may be different for you:
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@ -267,7 +270,7 @@ Result:
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]
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```
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To do the housekeeping, we need to remove the service we deployed. It can be easily done with:
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For housekeeping purposes, we need to remove the service we deployed. It can be easily done with:
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```bash
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fluence remove
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