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vvzvlad 2024-08-26 17:16:29 +03:00
parent b631442f3e
commit e65e0d95ed
10 changed files with 198 additions and 0 deletions

17
Dockerfile Normal file
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# Use an official Python runtime as the base image
FROM amd64/python:3.9-buster as project_env
# Set the working directory in the container
WORKDIR /app
# Install dependencies
COPY requirements.txt requirements.txt
RUN pip install --upgrade pip setuptools \
&& pip install -r requirements.txt
FROM project_env
COPY . /app/
# Set the entrypoint command
CMD ["gunicorn", "--conf", "/app/gunicorn_conf.py", "main:app"]

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config.py Normal file
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import os
app_base_path = os.getenv("APP_BASE_PATH", default=os.getcwd())
data_base_path = os.path.join(app_base_path, "data")
model_file_path = os.path.join(data_base_path, "model.pkl")

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gunicorn_conf.py Normal file
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# Gunicorn config variables
loglevel = "info"
errorlog = "-" # stderr
accesslog = "-" # stdout
worker_tmp_dir = "/dev/shm"
graceful_timeout = 120
timeout = 30
keepalive = 5
worker_class = "gthread"
workers = 1
threads = 8
bind = "0.0.0.0:9000"

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init.config Executable file
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#!/bin/bash
set -e
if [ ! -f config.json ]; then
echo "Error: config.json file not found, please provide one"
exit 1
fi
nodeName=$(jq -r '.wallet.addressKeyName' config.json)
if [ -z "$nodeName" ]; then
echo "No wallet name provided for the node, please provide your preferred wallet name. config.json >> wallet.addressKeyName"
exit 1
fi
# Ensure the worker-data directory exists
mkdir -p ./worker-data
json_content=$(cat ./config.json)
stringified_json=$(echo "$json_content" | jq -c .)
mnemonic=$(jq -r '.wallet.addressRestoreMnemonic' config.json)
if [ -n "$mnemonic" ]; then
echo "ALLORA_OFFCHAIN_NODE_CONFIG_JSON='$stringified_json'" > ./worker-data/env_file
echo "NAME=$nodeName" >> ./worker-data/env_file
echo "ENV_LOADED=true" >> ./worker-data/env_file
echo "wallet mnemonic already provided by you, loading config.json . Please proceed to run docker compose"
exit 1
fi
if [ ! -f ./worker-data/env_file ]; then
echo "ENV_LOADED=false" > ./worker-data/env_file
fi
ENV_LOADED=$(grep '^ENV_LOADED=' ./worker-data/env_file | cut -d '=' -f 2)
if [ "$ENV_LOADED" = "false" ]; then
json_content=$(cat ./config.json)
stringified_json=$(echo "$json_content" | jq -c .)
docker run -it --entrypoint=bash -v $(pwd)/worker-data:/data -v $(pwd)/scripts:/scripts -e NAME="${nodeName}" -e ALLORA_OFFCHAIN_NODE_CONFIG_JSON="${stringified_json}" alloranetwork/allora-chain:latest -c "bash /scripts/init.sh"
echo "config.json saved to ./worker-data/env_file"
else
echo "config.json is already loaded, skipping the operation. You can set ENV_LOADED variable to false in ./worker-data/env_file to reload the config.json"
fi

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requirements.txt Normal file
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flask[async]
gunicorn[gthread]
numpy==1.26.2
pandas==2.1.3
Requests==2.32.0
scikit_learn==1.3.2
werkzeug>=3.0.3 # not directly required, pinned by Snyk to avoid a vulnerability

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scripts/init.sh Normal file
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#!/bin/bash
set -e
if allorad keys --home=/data/.allorad --keyring-backend test show $NAME > /dev/null 2>&1 ; then
echo "allora account: $NAME already imported"
else
echo "creating allora account: $NAME"
output=$(allorad keys add $NAME --home=/data/.allorad --keyring-backend test 2>&1)
address=$(echo "$output" | grep 'address:' | sed 's/.*address: //')
mnemonic=$(echo "$output" | tail -n 1)
# Parse and update the JSON string
updated_json=$(echo "$ALLORA_OFFCHAIN_NODE_CONFIG_JSON" | jq --arg name "$NAME" --arg mnemonic "$mnemonic" '
.wallet.addressKeyName = $name |
.wallet.addressRestoreMnemonic = $mnemonic
')
stringified_json=$(echo "$updated_json" | jq -c .)
echo "ALLORA_OFFCHAIN_NODE_CONFIG_JSON='$stringified_json'" > /data/env_file
echo ALLORA_OFFCHAIN_ACCOUNT_ADDRESS=$address >> /data/env_file
echo "NAME=$NAME" >> /data/env_file
echo "Updated ALLORA_OFFCHAIN_NODE_CONFIG_JSON saved to /data/env_file"
fi
if grep -q "ENV_LOADED=false" /data/env_file; then
sed -i 's/ENV_LOADED=false/ENV_LOADED=true/' /data/env_file
else
echo "ENV_LOADED=true" >> /data/env_file
fi

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update_app.py Normal file
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import os
import requests
inference_address = os.environ["INFERENCE_API_ADDRESS"]
url = f"{inference_address}/update"
print("UPDATING INFERENCE WORKER DATA")
response = requests.get(url)
if response.status_code == 200:
# Request was successful
content = response.text
if content == "0":
print("Response content is '0'")
exit(0)
else:
exit(1)
else:
# Request failed
print(f"Request failed with status code: {response.status_code}")
exit(1)

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updater.py Normal file
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import os
import requests
from concurrent.futures import ThreadPoolExecutor
# Function to download the URL, called asynchronously by several child processes
def download_url(url, download_path):
target_file_path = os.path.join(download_path, os.path.basename(url))
if os.path.exists(target_file_path):
# print(f"File already exists: {url}")
return
response = requests.get(url)
if response.status_code == 404:
# print(f"File not exist: {url}")
pass
else:
# create the entire path if it doesn't exist
os.makedirs(os.path.dirname(target_file_path), exist_ok=True)
with open(target_file_path, "wb") as f:
f.write(response.content)
# print(f"Downloaded: {url} to {target_file_path}")
def download_binance_monthly_data(
cm_or_um, symbols, intervals, years, months, download_path
):
# Verify if CM_OR_UM is correct, if not, exit
if cm_or_um not in ["cm", "um"]:
print("CM_OR_UM can be only cm or um")
return
base_url = f"https://data.binance.vision/data/futures/{cm_or_um}/monthly/klines"
# Main loop to iterate over all the arrays and launch child processes
with ThreadPoolExecutor() as executor:
for symbol in symbols:
for interval in intervals:
for year in years:
for month in months:
url = f"{base_url}/{symbol}/{interval}/{symbol}-{interval}-{year}-{month}.zip"
executor.submit(download_url, url, download_path)
def download_binance_daily_data(
cm_or_um, symbols, intervals, year, month, download_path
):
if cm_or_um not in ["cm", "um"]:
print("CM_OR_UM can be only cm or um")
return
base_url = f"https://data.binance.vision/data/futures/{cm_or_um}/daily/klines"
with ThreadPoolExecutor() as executor:
for symbol in symbols:
for interval in intervals:
for day in range(1, 32): # Assuming days range from 1 to 31
url = f"{base_url}/{symbol}/{interval}/{symbol}-{interval}-{year}-{month:02d}-{day:02d}.zip"
executor.submit(download_url, url, download_path)