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osiris account 2023-03-11 21:07:23 -08:00
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2
token-scanner-api/.env.example
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@ -12,7 +12,7 @@ TOKEN_DECIMALS =
######################### #########################
MAX_RETRIES = 4 MAX_RETRIES = 4
SIZE_CHUNK_NEXT = 50000 SIZE_CHUNK_NEXT = 5000
######################### #########################

47
token-scanner-api/README.md
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@ -1,12 +1,21 @@
## token scanner api and cli ## 🛠🪙 token scanner api and cli
<br>
##### 👉 this project implements a cli tool that indexes transfer events for a particular token, and is deployed to a restful api for fast balance and ownership statistics retrieval. this is the first step for training machine learning models on the chains (*e.g.*, high-frequency trading with deep learning).
##### 📚 more details can be found in my mirror post, **[quant #3: building a scalable event scanner for ethereum](https://mirror.xyz/steinkirch.eth/vSF18xcLyfXLIWwxjreRa3I_XskwgnjSc6pScegNJWI)**.
<br>
---
### setting up
<br> <br>
#### installing dependencies #### installing dependencies
create a venv, either using virtualenv, pipenv, or poetry.
because of some of the dependencies in this code, we will be developing on a python3.9 environment (install here if you don’t have that version on disk): because of some of the dependencies in this code, we will be developing on a python3.9 environment (install here if you don’t have that version on disk):
``` ```
@ -18,9 +27,9 @@ pip3 install -r requirements.txt
<br> <br>
#### add environment variables #### adding environment variables
now, create an .env file and add an RPC_PROVIDER_URL to connect to ethereum mainnet nodes (you can pick from any of this list of nodes as a service): create a `.env` file and add an `RPC_PROVIDER_URL` to connect to ethereum mainnet nodes (for example, from [this list](https://ethereumnodes.com/)):
``` ```
cp .env.example .env cp .env.example .env
@ -33,24 +42,40 @@ vim .env
``` ```
make install make install
indexer -h
``` ```
<br> <br>
#### deploying on production ----
we use vercel to deploy this app at . ### running
<br>
to deploy new changes, first install vercel:
``` ```
yarn indexer -h
``` ```
then run:
<br>
---
### development
<br>
#### deploying in production
we use vercel to deploy this app:
``` ```
vercel login vercel login
vercel . vercel .
``` ```
<br>

1
token-scanner-api/src/blockchains/ethereum.py
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@ -117,6 +117,7 @@ class TokenIndexer:
def _process_logs(self, logs: list) -> dict: def _process_logs(self, logs: list) -> dict:
"""Process the logs and return a dictionary with the results.""" """Process the logs and return a dictionary with the results."""
log_info(f'Processing {len(logs)} logs...')
processed_logs = defaultdict() processed_logs = defaultdict()
try: try: