mirror of
https://github.com/fluencelabs/fluid
synced 2025-04-04 19:31:11 +00:00
47 lines
1.4 KiB
Bash
47 lines
1.4 KiB
Bash
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#!/usr/bin/env bash
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set -e
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mkdir -p wasm
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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/$SQLITE
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fi
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# Build fluid WASM module
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echo "Building..."
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cargo +nightly build --target wasm32-unknown-unknown --release >/dev/null
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cp target/wasm32-unknown-unknown/release/*.wasm ./wasm/
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echo
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# Run it all on 30000 port with default Fluence API
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echo "Running..."
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docker rm -f frun &>/dev/null || true
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echo 'docker run -d --name frun --rm -v "$(pwd)/wasm:/code" -p 30000:30000 fluencelabs/frun:latest'
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docker run -d --name frun --rm -v "$(pwd)/wasm:/code" -p 30000:30000 fluencelabs/frun:latest >/dev/null
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echo
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# Wait for app to be initialized
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sleep 1 && (docker logs -f frun 2>&1 &) | grep -q initialized && sleep 1
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# Send our username to the application
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echo -e "Sending request..."
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# Assign json to a variable using heredoc technique
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JSON=$(cat <<JSON
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{"action":"Post","message":"I'm nice, you're nice, it's nice!","username":"random_joe"}
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JSON
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)
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# Send json as a request, and receive result
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RESPONSE=$(curl -s 'http://localhost:30000/apps/1/tx' --data $'sessionId/0\n'"$JSON" --compressed | jq -r .result.data | base64 -D)
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# Parse result as JSON and print to console
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echo -e "$RESPONSE" | jq .
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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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