update input format, add instructions to readme #46

storage-proof-app/README.md

@@ -68,3 +68,12 @@ Historical data for blocks produced before Capella update is located in 'histori
 The newer data is located in `historical_summaries`.
 More information about Beacon State structure can be found [here](https://eth2book.info/capella/part3/containers/state/). 
 
+# How to use it? 
+
+**To generate test data about account on Consensus Layer** 
+
+Run 
+```
+python3 mock_data.py --output <output file name>
+```
+

storage-proof-app/mock_data.py

@@ -2,21 +2,29 @@
 import json
 import sys
 import random
+import argparse
 
 def slice_into_low_high(digest):
-    low = int.from_bytes(digest[:16], 'big')
-    high = int.from_bytes(digest[16:], 'big')
+    low = str(int.from_bytes(digest[:16], 'big'))
+    high = str(int.from_bytes(digest[16:], 'big'))
 
     return [low, high]
 
 if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        prog='Dummy data generator for Consensus Layer Storage Proof',
+        description='Provides a Merkle path for an account into a state root from Consensus Layer.')
+    parser.add_argument('--output', help="Output file path", default="output.json")
+
+    args = parser.parse_args()
+
     index = random.randint(1, 16)
     state, tree = get_random_state()
     merkle_path = tree.prove_inclusion(index)
     leaf = tree.get_leaf(index)
     root = state.state_root[0]
     print(f"Preparing Merkle path for index {index - 1} and state root {root.hex()}")
     input = [{"array" : [slice_into_low_high(node) for node in merkle_path.path]}, {"vector": slice_into_low_high(leaf)}, {"vector" : slice_into_low_high(root)}] 
-    with open("path.inp", 'w') as f:
+    with open(args.output, 'w') as f:
         sys.stdout = f
         print(json.dumps(input, indent=4))