kopia lustrzana https://github.com/simonw/datasette
207 wiersze
6.8 KiB
Python
207 wiersze
6.8 KiB
Python
from click.testing import CliRunner
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from datasette import cli
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from unittest import mock
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import json
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import pytest
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import textwrap
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@mock.patch("shutil.which")
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def test_publish_cloudrun_requires_gcloud(mock_which):
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mock_which.return_value = False
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runner = CliRunner()
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with runner.isolated_filesystem():
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open("test.db", "w").write("data")
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result = runner.invoke(cli.cli, ["publish", "cloudrun", "test.db"])
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assert result.exit_code == 1
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assert "Publishing to Google Cloud requires gcloud" in result.output
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@mock.patch("shutil.which")
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def test_publish_cloudrun_invalid_database(mock_which):
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mock_which.return_value = True
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runner = CliRunner()
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result = runner.invoke(cli.cli, ["publish", "cloudrun", "woop.db"])
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assert result.exit_code == 2
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assert "Path 'woop.db' does not exist" in result.output
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@mock.patch("shutil.which")
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@mock.patch("datasette.publish.cloudrun.check_output")
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@mock.patch("datasette.publish.cloudrun.check_call")
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@mock.patch("datasette.publish.cloudrun.get_existing_services")
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def test_publish_cloudrun_prompts_for_service(
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mock_get_existing_services, mock_call, mock_output, mock_which
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):
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mock_get_existing_services.return_value = [
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{"name": "existing", "created": "2019-01-01", "url": "http://www.example.com/"}
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]
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mock_output.return_value = "myproject"
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mock_which.return_value = True
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runner = CliRunner()
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with runner.isolated_filesystem():
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open("test.db", "w").write("data")
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result = runner.invoke(
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cli.cli, ["publish", "cloudrun", "test.db"], input="input-service"
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)
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assert (
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"""
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Please provide a service name for this deployment
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Using an existing service name will over-write it
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Your existing services:
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existing - created 2019-01-01 - http://www.example.com/
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Service name: input-service
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""".strip()
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== result.output.strip()
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)
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assert 0 == result.exit_code
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tag = "gcr.io/myproject/datasette"
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mock_call.assert_has_calls(
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[
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mock.call("gcloud builds submit --tag {}".format(tag), shell=True),
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mock.call(
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"gcloud run deploy --allow-unauthenticated --platform=managed --image {} input-service".format(
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tag
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),
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shell=True,
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),
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]
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)
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@mock.patch("shutil.which")
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@mock.patch("datasette.publish.cloudrun.check_output")
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@mock.patch("datasette.publish.cloudrun.check_call")
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def test_publish_cloudrun(mock_call, mock_output, mock_which):
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mock_output.return_value = "myproject"
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mock_which.return_value = True
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runner = CliRunner()
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with runner.isolated_filesystem():
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open("test.db", "w").write("data")
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result = runner.invoke(
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cli.cli, ["publish", "cloudrun", "test.db", "--service", "test"]
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)
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assert 0 == result.exit_code
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tag = "gcr.io/{}/datasette".format(mock_output.return_value)
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mock_call.assert_has_calls(
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[
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mock.call("gcloud builds submit --tag {}".format(tag), shell=True),
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mock.call(
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"gcloud run deploy --allow-unauthenticated --platform=managed --image {} test".format(
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tag
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),
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shell=True,
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),
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]
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)
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@mock.patch("shutil.which")
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@mock.patch("datasette.publish.cloudrun.check_output")
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@mock.patch("datasette.publish.cloudrun.check_call")
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@pytest.mark.parametrize(
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"memory,should_fail",
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[["1Gi", False], ["2G", False], ["256Mi", False], ["4", True], ["GB", True],],
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)
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def test_publish_cloudrun_memory(
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mock_call, mock_output, mock_which, memory, should_fail
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):
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mock_output.return_value = "myproject"
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mock_which.return_value = True
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runner = CliRunner()
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with runner.isolated_filesystem():
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open("test.db", "w").write("data")
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result = runner.invoke(
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cli.cli,
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["publish", "cloudrun", "test.db", "--service", "test", "--memory", memory],
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)
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if should_fail:
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assert 2 == result.exit_code
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return
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assert 0 == result.exit_code
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tag = "gcr.io/{}/datasette".format(mock_output.return_value)
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mock_call.assert_has_calls(
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[
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mock.call("gcloud builds submit --tag {}".format(tag), shell=True),
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mock.call(
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"gcloud run deploy --allow-unauthenticated --platform=managed --image {} test --memory {}".format(
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tag, memory
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),
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shell=True,
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),
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]
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)
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@mock.patch("shutil.which")
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@mock.patch("datasette.publish.cloudrun.check_output")
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@mock.patch("datasette.publish.cloudrun.check_call")
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def test_publish_cloudrun_plugin_secrets(mock_call, mock_output, mock_which):
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mock_which.return_value = True
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mock_output.return_value = "myproject"
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runner = CliRunner()
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with runner.isolated_filesystem():
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open("test.db", "w").write("data")
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open("metadata.yml", "w").write(
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textwrap.dedent(
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"""
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title: Hello from metadata YAML
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plugins:
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datasette-auth-github:
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foo: bar
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"""
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).strip()
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)
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result = runner.invoke(
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cli.cli,
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[
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"publish",
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"cloudrun",
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"test.db",
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"--metadata",
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"metadata.yml",
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"--service",
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"datasette",
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"--plugin-secret",
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"datasette-auth-github",
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"client_id",
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"x-client-id",
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"--show-files",
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],
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)
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dockerfile = (
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result.output.split("==== Dockerfile ====\n")[1]
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.split("\n====================\n")[0]
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.strip()
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)
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expected = """FROM python:3.8
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COPY . /app
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WORKDIR /app
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ENV DATASETTE_AUTH_GITHUB_CLIENT_ID 'x-client-id'
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RUN pip install -U datasette
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RUN datasette inspect test.db --inspect-file inspect-data.json
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ENV PORT 8001
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EXPOSE 8001
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CMD datasette serve --host 0.0.0.0 -i test.db --cors --inspect-file inspect-data.json --metadata metadata.json --port $PORT""".strip()
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assert expected == dockerfile
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metadata = (
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result.output.split("=== metadata.json ===\n")[1]
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.split("\n==== Dockerfile ====\n")[0]
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.strip()
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)
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assert {
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"title": "Hello from metadata YAML",
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"plugins": {
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"datasette-auth-github": {
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"foo": "bar",
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"client_id": {"$env": "DATASETTE_AUTH_GITHUB_CLIENT_ID"},
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}
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},
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} == json.loads(metadata)
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