2019-08-18 16:05:19 +03:00

47 lines
1.4 KiB
Bash
Executable File

#!/usr/bin/env bash
set -e
set -o pipefail
mkdir -p wasm
# Download SQLite
SQLITE="sqlite3_0.2.0.wasm"
if [ ! -f "wasm/$SQLITE" ]; then
echo "Downloading $SQLITE..."
wget -q https://github.com/fluencelabs/sqlite/releases/download/v0.2.0_w/$SQLITE -O ./wasm/$SQLITE
fi
# Build fluid WASM module
echo "Building to WASM..."
cargo +nightly build --target wasm32-unknown-unknown --release >/dev/null
cp target/wasm32-unknown-unknown/release/*.wasm ./wasm/
echo
# Run it all on 30000 port with default Fluence API
echo "Running..."
docker rm -f frun &>/dev/null || true
echo 'docker run -d --name frun --rm -v "$(pwd)/wasm:/code" -p 30000:30000 fluencelabs/frun:latest'
docker run -d --name frun --rm -v "$(pwd)/wasm:/code" -p 30000:30000 fluencelabs/frun:latest >/dev/null
echo
# Wait for app to be initialized
sleep 1 && (docker logs -f frun 2>&1 &) | grep -q initialized && sleep 1
# Send our username to the application
REQUEST="$USER"
echo -e "Sending request: $REQUEST"
echo "curl -s 'http://localhost:30000/apps/1/tx' --data $'sessionId/0\n'"$REQUEST" --compressed"
echo
RESPONSE=$(curl -s 'http://localhost:30000/apps/0/tx' --data $'sessionId/0\n'"$REQUEST" --compressed)
RESPONSE=$(echo "$RESPONSE" | jq -r .result.data | base64 --decode 2>/dev/null || echo "$RESPONSE")
# Parse json or print response as is
echo "$RESPONSE" | jq . 2>/dev/null || echo "$RESPONSE"
echo
# Remove frun container
echo -e "Stopping..."
docker rm -f frun >/dev/null