mirror of
https://github.com/fluencelabs/fluid
synced 2025-04-03 19:01:12 +00:00
46 lines
1.3 KiB
Bash
Executable File
46 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -e
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mkdir -p wasm
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# Download SQLite
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SQLITE="sqlite3_0.2.0.wasm"
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if [ ! -f "wasm/$SQLITE" ]; then
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echo "Downloading $SQLITE..."
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wget -q https://github.com/fluencelabs/sqlite/releases/download/v0.2.0_w/$SQLITE -O ./wasm/$SQLITE
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fi
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# Build fluid WASM module
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echo "Building..."
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npm --silent install
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npm --quiet run flbuild
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cp build/fluid.wasm ./wasm/
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echo
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# Run it all on 30000 port with default Fluence API
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echo "Running..."
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docker rm -f frun &>/dev/null || true
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echo 'docker run -d --name frun --rm -v "$(pwd)/wasm:/code" -p 30000:30000 fluencelabs/frun:latest'
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docker run -d --name frun --rm -v "$(pwd)/wasm:/code" -p 30000:30000 fluencelabs/frun:latest >/dev/null
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echo
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# Wait for app to be initialized
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sleep 1 && (docker logs -f frun 2>&1 &) | grep -q initialized && sleep 1
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# Send our username to the application
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REQUEST="$USER"
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echo -e "Sending request: $REQUEST"
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echo "curl -s 'http://localhost:30000/apps/1/tx' --data $'sessionId/0\n'"$REQUEST" --compressed"
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echo
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RESPONSE=$(curl -s 'http://localhost:30000/apps/1/tx' --data $'sessionId/0\n'"$REQUEST" --compressed | jq -r .result.data | base64 -D)
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# Parse json or print response as is
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echo "$RESPONSE" | jq . 2>/dev/null || echo "$RESPONSE"
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echo
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# Remove frun container
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echo -e "Stopping..."
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docker rm -f frun >/dev/null
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