labs install: stale virtualenv with a dangling interpreter symlink is never repaired, so install fails permanently
I maintainer di solito rispondono entro 1 giorno
Valutazione
- Difficoltà
- 3/5
- Tempo stimato
- 1-2 giorni
- Idoneità per principianti
- 68/100
Direzione di ricerca
Inizia dal flusso di installazione di labs che crea la directory state/venv e poi invoca il relativo bin/python3 per l'installazione delle dipendenze. Riproduci il caso di un symlink obsoleto e pendente, esamina come vengono gestiti la creazione della venv e gli errori di pip, quindi aggiungi o aggiorna la coverage se vengono trovati i test pertinenti. Il lavoro è completato quando una venv danneggiata riutilizzata viene ricreata oppure l'errore identifica l'interprete mancante, senza più nascondere i dettagli di pip o exec.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
Describe the issue
databricks labs install <project> reuses the existing virtualenv directory at ~/.databricks/labs/<project>/state/venv by running python -m venv <dir> over it.
Python's venv module will not replace files or symlinks that already exist in the target directory unless --clear is passed. If the venv's bin/python3 symlink has become dangling — which happens routinely on macOS whenever Homebrew retires the Python minor version the venv was originally built against — then:
python -m venv <dir>reports success and rewritespyvenv.cfgto advertise the newly detected interpreter version.bin/pythonandbin/python3still point at the now-deleted old interpreter.- The installer then invokes
<dir>/bin/python3 -m pip install ..., which fails instantly because that path does not exist. - The command exits with
Error: python: failed to install dependencies of .
Because nothing in the flow ever repairs or discards the broken venv, every subsequent retry fails identically. The install is unrecoverable without manually deleting the venv, and nothing in the output hints that this is the problem.
Steps to reproduce the behavior
# 1. Install a labs project while [email protected] is the newest Homebrew Python
databricks labs install lakebridge
# 2. Let Homebrew retire that interpreter (any of these will do it over time)
brew upgrade
brew cleanup
# ~/.databricks/labs/lakebridge/state/venv/bin/python3 is now a dangling symlink
# 3. Re-run the install
databricks labs install lakebridge
# Error: python: failed to install dependencies of .
# ...and it will fail this way forever
Confirming the broken state:
$ ls -la ~/.databricks/labs/lakebridge/state/venv/bin/python3
python3 -> python3.13 -> /opt/homebrew/opt/[email protected]/bin/python3.13 # does not exist
$ cat ~/.databricks/labs/lakebridge/state/venv/pyvenv.cfg
home = /opt/homebrew/opt/[email protected]/bin
include-system-site-packages = false
version = 3.10.20 # <-- claims 3.10.20, but bin/python3 still points at 3.13
Expected Behavior
labs install should end up with a working virtualenv, or fail with an error that says what is actually wrong. Any of the following would resolve it:
- Create the venv with
--clear(orEnvBuilder(clear=True)), so a reused directory is rebuilt from scratch. os.RemoveAllthe venv directory before creating it — this is an install command, a clean environment is the reasonable expectation.- Validate that
<venv>/bin/python3resolves to an existing, executable file after creation, and rebuild if it does not.
Actual Behavior
Install fails with Error: python: failed to install dependencies of . and every retry fails identically until the stale venv is deleted manually.
Second, smaller issue: pip's stderr is swallowed
The failure surfaces only as:
Error: python: failed to install dependencies of .
The underlying error was no such file or directory: .../state/venv/bin/python3. Propagating pip's actual stderr (or even just the exec error) would turn this from a debug-log archaeology exercise into an immediately obvious fix. Happy to split this into a separate issue if preferred.
Why this is worth fixing
This is not project-specific — it affects every labs project (ucx, lakebridge, and others), since they all share the same install path. On macOS with Homebrew it is essentially a matter of time: any brew upgrade or brew cleanup that removes an old [email protected] formula silently breaks every venv built against it, and the labs installer has no way to recover.
OS and CLI version
- Databricks CLI: v1.3.0
- Labs project:
lakebridgev0.14.2 (requires-python = ">=3.10.1,<3.15") - OS: macOS 26.5.2 (arm64)
- Pythons present: Homebrew 3.10.20 and 3.14.6, system 3.9.6
- Previously present (now removed by Homebrew): 3.13
Is this a regression?
Unknown — observed on CLI v1.3.0 after a Homebrew Python upgrade removed the interpreter the existing labs venv was linked to.
Debug Logs
15:39:24 Info: start pid=NNNNN version=1.3.0 args="databricks, labs, install, lakebridge, --profile=REDACTED, --log-level=DEBUG"
15:39:25 Debug: Latest lakebridge version is: v0.14.2 pid=NNNNN
15:39:37 Debug: Unpacking zipball to: ~/.databricks/labs/lakebridge/lib pid=NNNNN
15:39:38 Debug: found 8 potential alternative Python versions in $PATH pid=NNNNN
15:39:38 Debug: /opt/homebrew/.../python3.14 --version: Python 3.14.6 pid=NNNNN
15:39:38 Debug: /opt/homebrew/.../python3.10 --version: Python 3.10.20 pid=NNNNN
15:39:38 Debug: /usr/bin/python3 --version: Python 3.9.6 pid=NNNNN
15:39:39 Debug: Detected Python v3.10.20 at: /opt/homebrew/Cellar/[email protected]/3.10.20_4/Frameworks/Python.framework/Versions/3.10/bin/python3.10 pid=NNNNN
15:39:39 Debug: Creating Python Virtual Environment at: ~/.databricks/labs/lakebridge/state/venv pid=NNNNN
15:39:39 Debug: running: /opt/homebrew/.../python3.10 -m venv ~/.databricks/labs/lakebridge/state/venv pid=NNNNN
15:39:41 Debug: Installing Python dependencies for: ~/.databricks/labs/lakebridge/lib pid=NNNNN
15:39:41 Debug: running: ~/.databricks/labs/lakebridge/state/venv/bin/python3 -m pip install --upgrade --upgrade-strategy eager . pid=NNNNN
Error: python: failed to install dependencies of .
15:39:41 Info: failed execution pid=NNNNN exit_code=1 error="python: failed to install dependencies of ." pid=NNNNN
Workaround
rm -rf ~/.databricks/labs/<project>/state/venv
databricks labs install <project>
- Lingua principale
- Go
- Stelle
- 404
- Fork
- 246
- Merge medio
- 1g 11h
- PR unite (30g)
- 229
Preparare l'ambiente
- Include un Dockerfile o un file Docker Compose
- Ha un modello di pull request
- Nessuna guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Altre issue di databricks/cli
-
Apps commands only accept relative path to app.ymlForse già presa @yuri-rod l’ha presa 8 giorni fa. ApertaCLI
Difficoltà 2/5 1-3 ore Idoneità per principianti 82/100
databricks/cli#6910 ·
I maintainer di solito rispondono entro 1 giorno
-
DABs
Difficoltà 2/5 1-3 ore Idoneità per principianti 68/100
databricks/cli#6670 ·
I maintainer di solito rispondono entro 1 giorno
-
DABs
Difficoltà 4/5 3-5 giorni Idoneità per principianti 45/100
databricks/cli#7032 ·
I maintainer di solito rispondono entro 1 giorno
-
DABs engine/direct Enhancement
Difficoltà 3/5 1-2 giorni Idoneità per principianti 56/100
databricks/cli#7013 · 2 reazioni ·
I maintainer di solito rispondono entro 1 giorno
-
DABs
Difficoltà 5/5 Più di una settimana Idoneità per principianti 18/100
databricks/cli#7002 ·
I maintainer di solito rispondono entro 1 giorno
Tutte le issue di databricks/cli
Issue simili
-
unbounded value for n in `/v1/logs` can panic/OOMForse già presa Una pull request collegata a questa issue è aperta o già unita. Apertasmall item
Difficoltà 2/5 1-3 ore Idoneità per principianti 72/100
canonical/pebble#1127 · 2 commenti ·
I maintainer di solito rispondono entro 1 giorno
-
[schema-coverage] elasticstack_elasticsearch_synonym_set (data source)Forse già presa @github-actions l’ha presa oggi. Apertaacceptance-tests phase-coding schema-coverage testing triaged
Difficoltà 2/5 1-3 ore Idoneità per principianti 81/100
elastic/terraform-provider-elasticstack#5211 ·
I maintainer di solito rispondono entro 1 giorno
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 89/100
open-policy-agent/opa#9366 · 1 reazione ·
I maintainer di solito rispondono entro 1 giorno
-
defect
Difficoltà 2/5 1-3 ore Idoneità per principianti 78/100
nats-io/nats-server#8752 ·
I maintainer di solito rispondono entro 1 giorno
-
enhancement needs-acceptance wg/router-models-inference-runtime
Difficoltà 2/5 1-3 ore Idoneità per principianti 76/100
vllm-project/semantic-router#5015 · 1 commento ·
I maintainer di solito rispondono entro 1 giorno