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Ethereum: Get all transactions from/to a Gnosis address
Ethereum transactions monitoring from a gnosis direction ========================================= == ======= As you are using the tokentx gnosis exploration API to recover the transaction data for a Token ERC-20, you may want to track all the movements of currencies that come and come from that address. In this article, we will explore how to achieve this.
Ethereum transactions monitoring from a gnosis direction
========================================= == =======
As you are using the tokentx gnosis exploration API to recover the transaction data for a Token ERC-20, you may want to track all the movements of currencies that come and come from that address. In this article, we will explore how to achieve this.
Gnosis exploration API response format
———————————–
The gnosis exploration API returns a list of transactions in JSON format. Each transaction is represented as follows:
`JSON
{
"tx_hash": "hash",
"Block_number": 12345,
"from_address": "address1",
"To_address": "Address2",
"value": number (in wei),
"Gas_price": number,
"Gas_use": number,
"Time brand": Time brand,
"data": {
// Data properties
}
}
Transaction monitoring of a gnosis direction
------------------------------------------
To track all the movements of coins that come and come from a gnosis direction, you can use the following steps:
- Remove the transaction hash : Analyze the JSON response from the gnosis exploration API and remove thetx_hash
property, which contains the hexadecimal hash of each transaction.
- Alleg the transactions in a database or cache : Store the transaction hash extracted in a database (for example, SQLite) or a cache storage layer (for example, Redis). This will allow you to efficiently recover all transactions associated with the direction of gnosis.
- Use a data structure to track coins : Create a data structure, such as an object matrix or a hash map, where each key is atx_hash
and the corresponding value is another object that contains information about information about information about information about information about THE MOVEMENT CURRENCY.
Example python code
Python
Import SQLite3
of writing import dict
Configure the database connection
Conn = Sqlite3.connect ('transaction_database.db')
cursor = conn.cursor ()
Function to extract transaction hash from the API response
Def get_transaction_hashes (API_Response):
return [tx_hash for tx_hash in api_res
Function to store transactions in database or cache
Def on store_transactions (transaction_hashes, db_name = 'transactions.db'):
With Open (DB_Name, 'W') as F:
For tx_hash in transaction_hashes:
Insert in the database or cache using a simple key value approach
cursor.exute (f'insert in transaction values (tx_hash) ({tx_hash}) ')')
Conn.commit ()
Function to trace transactions from the direction of gnosis
Def track
Transaction_hahes = get_transaction_hahes (API_Response)
Store_transactions (Transaction_hahes, db_name)
Example use:
API_PRESAR = {
"result": [
{
"Tx_hash": "0x1234567890abcdef",
"Block_number": 12345,
"from_address": "address1",
"To_address": "Address2"
},
{
"tx_hash": "0x23456789abcdef0",
"Block_number": 67890,
"from_address": "address3",
"To_address": "Address 4"
}
]
}
Track
Benefits and considerations
---------------------------------
- Thetx_hash` property provides a unique identifier for each transaction.
- When storing transactions in a database or cache, you can efficiently recover all transactions associated with the gnosis address.
- This approach requires a data structure overload to store and manage transactions.
However, consider the following:
- The database or cache storage performance may be affected by the number of transactions.
- Additional storage space is required to store transaction hash.
- Ensure the proper error management and registration mechanisms.
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