Run node code on the venv Fluksio was installed into
The workflow this serves: make a venv, install what you work with, then `pip install fluksio` into the same one. Building a second environment beside it was exactly wrong — the packages the nodes need are already here, and the Modules screen was asking for them a second time. `NODE_VENV=auto` (the default) adopts that venv. It declines in the three cases where adopting would be wrong: `managed` says otherwise, a managed venv already exists and may hold packages somebody installed on purpose, or the engine is not running from a venv at all. The images set `managed`, since the venv in them holds the app and nothing of anybody else's. An adopted venv is never written to. `uv pip sync` makes a venv hold exactly the manifest, so pointed at somebody's own environment it uninstalls their work and the engine with it — `sync()` refuses outright and `reconcile()` returns before it can be called at startup, which is where that would have happened first. The Modules screen lists what is installed and drops its editor; `pip` is how that environment changes. `fluksio serve` now names the interpreter node code runs on, which is the thing a data scientist most needs to know at that moment. `fluksio-worker` already defaulted `--python` to its own interpreter, so a GPU box works the same way — that was only ever undocumented. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012ue1tkFWB1bcGy3aWhCKpU
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@@ -1521,6 +1521,11 @@ export const ModulesInfoSchema = {
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type: 'boolean',
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title: 'Applied',
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default: false
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},
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adopted: {
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type: 'boolean',
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title: 'Adopted',
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default: false
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}
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},
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type: 'object',
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@@ -583,6 +583,7 @@ export type ModulesInfo = {
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requirements?: string;
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packages?: Array<ModulePackage>;
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applied?: boolean;
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adopted?: boolean;
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};
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export type NewPassword = {
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