multi_merge_pr_jsons.py

import json
import os
import sys
from collections import defaultdict
from datetime import datetime
from json import JSONDecodeError
from typing import Optional
from bal_addresses import AddrBook

base_json = json.loads(
    """
{
  "version": "1.0",
  "chainId": "",
  "createdAt": 1675891944772,
  "meta": {
    "name": "Transactions Batch",
    "description": "",
    "txBuilderVersion": "1.13.2",
    "createdFromSafeAddress": "",
    "createdFromOwnerAddress": ""
  },
  "transactions": [
  ]
}
"""
)

IGNORED_DIRECTORIES = ["examples", "rejected", "batched", "proposed"]
# Place your BIPs json into this directory under BIPs/<TARGET_DIR_WITH_BIPS>
TARGET_DIR_WITH_BIPS = "00merging"


def _parse_bip_json(file_path: str, chain: int) -> Optional[dict]:
    """
    In case file was created within given date bounds and for given chain -
    parse it and return the data
    """
    # Check if the file is a json file
    if not file_path.endswith(".json"):
        return None
    try:
        with open(file_path, "r") as json_file:
            data = json.load(json_file)
            # Check if the file is a dictionary, not a list
            if not isinstance(data, dict):
                return None
            # Check if chain id is the same as the one we are looking for
            # TODO  This crashes if it finds JSON that is not a payload file.
            # TODO: Discovered by running on BIPs
            if int(data["chainId"]) == int(chain):
                return data
    except JSONDecodeError:
        return None


# Example how to run: python action-scripts/merge_pr_jsons.py BIPs/BIP-289,BIPs/BIP-285
def main():
    directories = sys.argv[1].split(",")
    print(f"Directories to parse:{directories}")
    gauge_lists_by_chain = defaultdict(list)

    if not directories:
        raise ValueError("No directories were passed in as arguments")

    current_week = datetime.utcnow().strftime("%U")
    current_year = datetime.utcnow().year
    # get root directory of the project:
    # To do this you need to go up 2 levels from the current file
    # For instance, to get to the project root from: multisig-ops/action-scripts/merge_pr_jsons.py
    # You need to jump up two steps with os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
    root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))

    files_to_parse = []
    target_files = defaultdict(list)
    # Walk through all directories passed in as arguments and extract all files
    for directory in directories:
        # If directory doesn't exist, raise an error
        if not os.path.exists(os.path.join(root_dir, directory)):
            raise ValueError(
                f"Directory {directory} does not exist. Pass correct directory name"
            )
        # Parse each directory for underlying files
        for root, __, files in os.walk(os.path.join(root_dir, directory)):
            for file in files:
                # Skip non json files
                if not file.endswith(".json"):
                    continue
                files_to_parse.append(os.path.join(root, file))

    # Walk through all nested directories in BIPs
    for file in files_to_parse:
        # Process files that are lying flat in BIPs directory
        for chain_name, chain_id in AddrBook.chain_ids_by_name.items():
            data = _parse_bip_json(os.path.join(root_dir, file), chain=chain_id)
            if data:
                # Add the file to the list of files to be merged
                target_files[str(chain_id)].append(data)

    # Now we have a list of files to be merged, let's merge them and save to files
    dir_name_batched = f"BIPs/00batched/{current_year}-W{current_week}"
    dir_name_batched_full = os.path.join(root_dir, dir_name_batched)
    # Create the directory if it does not exist in root directory
    if not os.path.exists(dir_name_batched_full):
        os.mkdir(dir_name_batched_full)

    # Now we need to group files by safe address as well
    for chain_id, files in target_files.items():
        # Group files by safe address
        grouped_files = defaultdict(list)
        for file in files:
            safe_address = file["meta"]["createdFromSafeAddress"]
            if not safe_address:
                safe_address = file["meta"]["createFromSafeAddress"]
            grouped_files[safe_address].append(file)

        # Now we have a list of files grouped by safe address, let's merge them and save to files
        for safe_address, fs in grouped_files.items():
            # Merge all the files into one
            result = base_json
            result["meta"]["createdFromSafeAddress"] = safe_address
            result["chainId"] = chain_id
            result["transactions"] = []
            for file in fs:
                result["transactions"] += file["transactions"]
                #  Check for gauge adds and generate checkpoint list

                for tx in file["transactions"]:
                    if tx["contractMethod"]["name"] == "addGauge":
                        try:
                            gauge_chain = tx["contractInputsValues"]["gaugeType"]
                            if gauge_chain != "Ethereum":
                                gauge_lists_by_chain[gauge_chain].append(
                                    tx["contractInputsValues"]["gauge"]
                                )
                        except KeyError:
                            print(
                                f"Skipping checkpointer add for addGauge tx "
                                f"as it doesn't have expected inputs:\n---\n "
                                f"{tx['contractInputsValues']}"
                            )

            # Save the result to file
            file_name = f"{chain_id}-{safe_address}.json"
            file_path = os.path.join(dir_name_batched_full, file_name)
            with open(file_path, "w") as new_file:
                json.dump(result, new_file, indent=2)


if __name__ == "__main__":
    main()