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Now that we depend on pydantic we need a more recent pyodide in order to load the emscripten build of pydantic-core. Refs https://github.com/simonw/datasette/pull/2789#issuecomment-4733412763
47 lines
1.3 KiB
Bash
Executable file
47 lines
1.3 KiB
Bash
Executable file
#!/bin/bash
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set -euo pipefail
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read -r -a PYTHON_CMD <<< "${PYTHON:-python3}"
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read -r -a SHOT_SCRAPER_CMD <<< "${SHOT_SCRAPER:-shot-scraper}"
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# Build the wheel
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"${PYTHON_CMD[@]}" -m build
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# Find name of most recently built wheel, strip off the dist/
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wheel=$(basename "$(ls -t dist/*.whl | head -n 1)")
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# Create a blank index page
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echo '
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<script src="https://cdn.jsdelivr.net/pyodide/v314.0.0/full/pyodide.js"></script>
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' > dist/index.html
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# Run a server for that dist/ folder
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"${PYTHON_CMD[@]}" -m http.server 8529 --directory dist &
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server_pid=$!
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# Register the kill_server function to be called on script exit
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kill_server() {
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kill "$server_pid" 2>/dev/null || true
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}
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trap kill_server EXIT
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"${SHOT_SCRAPER_CMD[@]}" javascript http://localhost:8529/ "
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async () => {
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let pyodide = await loadPyodide();
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await pyodide.loadPackage(['micropip', 'setuptools']);
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let output = await pyodide.runPythonAsync(\`
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import micropip
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await micropip.install('http://localhost:8529/$wheel')
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import ssl
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import setuptools
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from datasette.app import Datasette
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ds = Datasette(memory=True, settings={'num_sql_threads': 0})
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(await ds.client.get('/_memory/-/query.json?sql=select+55+as+itworks&_shape=array')).text
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\`);
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if (JSON.parse(output)[0].itworks != 55) {
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throw 'Got ' + output + ', expected itworks: 55';
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}
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return 'Test passed!';
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}
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"
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