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span-batch-research

Quickstart

To run everything, follow below commands:

git clone https://github.com/testinprod-io/optimism && cd optimism
# every analysis tool is built on branch: pcw109550/span-batch-tester-with-tx-encoding
git switch pcw109550/span-batch-tester-with-tx-encoding
# ensure we are at correct code
git checkout 46f54d18a664b6b28089ccee75ccc45ec6708738

cd op-node
# every artifacts will be build upon op-node/ directory
ls -al | grep ".ipynb"
# Result:
# -rw-r--r--   1 changwan.park  wheel  675164 Dec 21 15:26 span-batch-analysis.ipynb
# -rw-r--r--   1 changwan.park  wheel   14160 Dec 21 15:26 span-batch-data-preparation.ipynb
# -rw-r--r--   1 changwan.park  wheel  582765 Dec 21 15:26 span-batch-format.ipynb

# all ipynb scripts store result and fetch config/secret from op-node/span-batch-analysis directory

You can find below three files at op-node directory:

  • span-batch-data-preparation.ipynb
  • span-batch-analysis.ipynb
  • span-batch-format.ipynb

These are the templates which are mentioned below.

To quick start, first initialize op-node/span-batch-analysis/secret.yaml(default gitignored, so you must create your own). This will contain RPC endpoints.

Example content of secret.yaml:

L1_MAINNET_RPC: http://[SECRET]:8545
L2_OP_MAINNET_RPC: http://[SECRET]:28545
L2_ZORA_MAINNET_RPC: https://rpc.zora.energy
L2_BASE_MAINNET_RPC: https://mainnet.base.org
L2_PGN_MAINNET_RPC: https://rpc.publicgoods.network


L1_GOERLI_RPC: http://[SECRET]:8545
L2_OP_GOERLI_RPC: http://[SECRET]:18545

Now open span-batch-data-preparation.ipynb, and select your chain. After data preparation is done, run span-batch-analysis.ipynb and span-batch-format.ipynb. You must specify l1_chain_name and l2_chain_name for each ipynbs. You may adjust op-node/span-batch-analysis/config/ content to tweak data collection range.

Structures and Results

As you can see, below two files are templates.

  • span-batch-data-preparation.ipynb
  • span-batch-analysis.ipynb

But below is not.

  • span-batch-format.ipynb

We can tweak l1_chain_name, l2_chain_name and analyze for each L2 chain. Example results are stored at this repository: at span-batch-analysis/results_ipynb. Results for span-batch-format.ipynb is as is, provided in this repository.

You can reproduce results stored at span-batch-analysis/results_ipynb by using the config located in this repository: span-batch-analysis/config. So, you may copy span-batch-analysis/config into op-node directory and run ipynb templates for reproduction.

Data Preparation

Template

Mainnet

Goerli

Data Analysis

Template

Mainnet

Goerli

Data Format

span-batch-format.ipynb