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//! THIS IS WIP, NOT READY FOR USE
//! Preprocessor is reponsible for identifying the required values.
//! This will be most abstract layer of the preprocessor.
use crate::codec::datalake_compute::DatalakeComputeCodec;
use crate::compiler::datalake_compute::DatalakeComputeCompilationResults;
use crate::compiler::module::ModuleCompilerConfig;
use crate::compiler::Compiler;
use alloy::dyn_abi::DynSolValue;
use alloy::hex;
use alloy::primitives::{Bytes, Keccak256, B256, U256};
use alloy_merkle_tree::standard_binary_tree::StandardMerkleTree;
use anyhow::{bail, Ok, Result};
use cairo_lang_starknet_classes::casm_contract_class::CasmContractClass;
use hdp_primitives::module::Module;
use hdp_primitives::processed_types::datalake_compute::ProcessedDatalakeCompute;
use hdp_primitives::{datalake::task::DatalakeCompute, processed_types::v1_query::ProcessedResult};
use hdp_provider::evm::provider::EvmProviderConfig;
use hdp_provider::key::FetchKeyEnvelope;
use tracing::info;
pub struct PreProcessor {
/// compiler
compiler: Compiler,
decoder: DatalakeComputeCodec,
}
pub struct PreProcessorConfig {
pub datalake_config: EvmProviderConfig,
pub module_config: ModuleCompilerConfig,
}
impl PreProcessorConfig {
pub fn new(datalake_config: EvmProviderConfig, module_config: ModuleCompilerConfig) -> Self {
Self {
datalake_config,
module_config,
}
}
}
pub struct ExtendedDatalake {
pub task: DatalakeCompute,
pub fetch_keys_set: Vec<FetchKeyEnvelope>,
}
#[derive(Clone, Debug)]
pub struct ExtendedModule {
pub task: Module,
pub module_class: CasmContractClass,
}
impl PreProcessor {
pub fn new_with_config(config: PreProcessorConfig) -> Self {
let compiler = Compiler::new(config);
let datalake_compute_codec = DatalakeComputeCodec::new();
Self {
compiler,
decoder: datalake_compute_codec,
}
}
pub async fn process_from_serialized(
&self,
batched_datalakes: String,
batched_tasks: String,
) -> Result<ProcessedResult> {
let bytes_datalake = hex::decode(batched_datalakes)?;
let bytes_tasks = hex::decode(batched_tasks)?;
// 1. decode the tasks
let tasks = self.decoder.decode_batch(&bytes_datalake, &bytes_tasks)?;
self.process(tasks).await
}
/// User request is pass as input of this function,
/// First it will generate input structure for preprocessor that need to pass to runner
/// Then it will run the preprocessor and return the result, fetch points
/// Fetch points are the values that are required to run the module
pub async fn process(&self, tasks: Vec<DatalakeCompute>) -> Result<ProcessedResult> {
let task_commitments: Vec<B256> =
tasks.iter().map(|task| task.commit()).collect::<Vec<_>>();
// do compile with the tasks
let compiled_results = self.compiler.compile(&tasks).await?;
// do operation if possible
let (tasks_merkle_tree, results_merkle_tree) =
self.build_merkle_tree(&compiled_results, task_commitments)?;
// 2. get roots of merkle tree
let task_merkle_root = tasks_merkle_tree.root();
let mut combined_tasks = Vec::new();
for task in tasks {
let task_commitment = task.commit();
let result = if results_merkle_tree.is_some() {
let compiled_result = compiled_results
.commit_results_maps
.get(&task_commitment)
.unwrap();
let result_commitment =
self._raw_result_to_result_commitment(&task_commitment, *compiled_result);
let result_proof = results_merkle_tree
.as_ref()
.unwrap()
.get_proof(&DynSolValue::FixedBytes(result_commitment, 32));
Some((compiled_result, result_commitment, result_proof))
} else {
None
};
let task_proof =
tasks_merkle_tree.get_proof(&DynSolValue::FixedBytes(task_commitment, 32));
let encoded_task = task.encode()?;
let datalake_type = task.datalake.get_datalake_type();
let property_type = task.datalake.get_collection_type().to_index();
let datalake_compute = match result {
Some(result_value) => {
let (compiled_result, result_commitment, result_proof) = result_value;
ProcessedDatalakeCompute::new_with_result(
Bytes::from(encoded_task),
task_commitment,
*compiled_result,
result_commitment,
task_proof,
result_proof,
Bytes::from(task.datalake.encode()?),
datalake_type.into(),
property_type,
)
}
None => ProcessedDatalakeCompute::new_without_result(
Bytes::from(encoded_task),
task_commitment,
task_proof,
Bytes::from(task.datalake.encode()?),
datalake_type.into(),
property_type,
),
};
combined_tasks.push(datalake_compute);
}
let processed_result = ProcessedResult::new(
results_merkle_tree.map(|tree| tree.root().to_string()),
task_merkle_root.to_string(),
Vec::from_iter(compiled_results.headers),
compiled_results.mmr_meta,
Vec::from_iter(compiled_results.accounts),
Vec::from_iter(compiled_results.storages),
Vec::from_iter(compiled_results.transactions),
Vec::from_iter(compiled_results.transaction_receipts),
combined_tasks,
);
// TODO: from compiler result, generate batch for tree and final result that pass through cairo-runner
info!("Preprocessor completed successfully");
Ok(processed_result)
}
fn build_merkle_tree(
&self,
compiled_results: &DatalakeComputeCompilationResults,
task_commitments: Vec<B256>,
) -> Result<(StandardMerkleTree, Option<StandardMerkleTree>)> {
let mut tasks_leaves = Vec::new();
let mut results_leaves = Vec::new();
for task_commitment in task_commitments {
if compiled_results.pre_processable {
let compiled_result =
match compiled_results.commit_results_maps.get(&task_commitment) {
Some(result) => result,
None => bail!("Task commitment not found in compiled results"),
};
let result_commitment =
self._raw_result_to_result_commitment(&task_commitment, *compiled_result);
results_leaves.push(DynSolValue::FixedBytes(result_commitment, 32));
}
tasks_leaves.push(DynSolValue::FixedBytes(task_commitment, 32));
}
let tasks_merkle_tree = StandardMerkleTree::of(tasks_leaves);
if compiled_results.pre_processable {
let results_merkle_tree = StandardMerkleTree::of(results_leaves);
Ok((tasks_merkle_tree, Some(results_merkle_tree)))
} else {
Ok((tasks_merkle_tree, None))
}
}
fn _raw_result_to_result_commitment(
&self,
task_commitment: &B256,
compiled_result: U256,
) -> B256 {
let mut hasher = Keccak256::new();
hasher.update(task_commitment);
hasher.update(B256::from(compiled_result));
hasher.finalize()
}
}
#[cfg(test)]
mod tests {
// use super::*;
// use hdp_primitives::datalake::block_sampled::{
// BlockSampledCollection, BlockSampledDatalake, HeaderField,
// };
// use hdp_primitives::datalake::envelope::DatalakeEnvelope;
// use hdp_primitives::datalake::task::Computation;
// use hdp_primitives::module::{Module, ModuleTag};
// use starknet::macros::felt;
// use starknet::providers::Url;
// use std::path::PathBuf;
// const STARKNET_SEPOLIA_RPC: &str =
// "https://starknet-sepolia.g.alchemy.com/v2/lINonYKIlp4NH9ZI6wvqJ4HeZj7T4Wm6";
// const PREPROCESS_PROGRAM_PATH: &str = "../build/compiled_cairo/hdp.json";
// #[tokio::test]
// async fn test_process_only_datalake() {
// let start_process = std::time::Instant::now();
// let config = PreProcessorConfig {
// module_registry_rpc_url: Url::parse(STARKNET_SEPOLIA_RPC).unwrap(),
// program_path: PathBuf::from("../build/compiled_cairo/hdp.json"),
// };
// let pre_processor = PreProcessor::new_with_config(config);
// let tasks = vec![
// TaskEnvelope::DatalakeCompute(DatalakeCompute {
// compute: Computation::new("min", None),
// datalake: DatalakeEnvelope::BlockSampled(BlockSampledDatalake {
// block_range_start: 1000,
// block_range_end: 10000,
// increment: 1,
// sampled_property: BlockSampledCollection::Header(HeaderField::Number),
// }),
// }),
// TaskEnvelope::DatalakeCompute(DatalakeCompute {
// compute: Computation::new("min", None),
// datalake: DatalakeEnvelope::BlockSampled(BlockSampledDatalake {
// block_range_start: 1000,
// block_range_end: 10000,
// increment: 1,
// sampled_property: BlockSampledCollection::Header(HeaderField::Number),
// }),
// }),
// ];
// let result = pre_processor.process(tasks).await.unwrap();
// let end_process = start_process.elapsed();
// println!("Process time: {:?}", end_process);
// assert_eq!(result.fetch_keys.len(), 9000);
// assert_eq!(result.tasks.len(), 2);
// assert!(matches!(&result.tasks[0], ExtendedTask::DatalakeCompute(_)));
// }
// #[tokio::test]
// async fn test_process_only_module() {
// let start_process = std::time::Instant::now();
// let config = PreProcessorConfig {
// module_registry_rpc_url: Url::parse(STARKNET_SEPOLIA_RPC).unwrap(),
// program_path: PathBuf::from(PREPROCESS_PROGRAM_PATH),
// };
// let pre_processor = PreProcessor::new_with_config(config);
// let module = Module::from_tag(ModuleTag::TEST, vec![felt!("1"), felt!("2")]);
// let tasks = vec![TaskEnvelope::Module(module)];
// let result = pre_processor.process(tasks).await.unwrap();
// let end_process = start_process.elapsed();
// println!("Process time: {:?}", end_process);
// assert_eq!(result.fetch_keys.len(), 0);
// assert_eq!(result.tasks.len(), 1);
// assert!(matches!(&result.tasks[0], ExtendedTask::Module(_)));
// }
}