Bug: RuntimeError: NumPy was built with baseline optimizations: (X86_V2) but your machine doesn't support: (X86_V2).

[Exzellius]

Is this urgent?

No

What parts are affected

Backend

What is the server version

0.7.5

What is the client version

0.7.4

What platform are you using

iOS

What's the problem 🤔

Running in Docker with Compose. Getting this error when updating to the new 0.7.5, reverting to 0.7.4 fixed the issue.

Share your logs

Getting the following error in Logs of Backend (even after restart):
`Traceback (most recent call last):
  File "/opt/venv/bin/flask", line 10, in <module>
    sys.exit(main())
             ~~~~^^
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 1131, in main
    cli.main()
    ~~~~~~~~^^
  File "/opt/venv/lib/python3.14/site-packages/click/core.py", line 1406, in main
    rv = self.invoke(ctx)
  File "/opt/venv/lib/python3.14/site-packages/click/core.py", line 1867, in invoke
    cmd_name, cmd, args = self.resolve_command(ctx, args)
                          ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
  File "/opt/venv/lib/python3.14/site-packages/click/core.py", line 1914, in resolve_command
    cmd = self.get_command(ctx, cmd_name)
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 631, in get_command
    app = info.load_app()
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 353, in load_app
    app = locate_app(import_name, None, raise_if_not_found=False)
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 245, in locate_app
    __import__(module_name)
    ~~~~~~~~~~^^^^^^^^^^^^^
  File "/usr/src/kitchenowl/wsgi.py", line 7, in <module>
    from app import app, socketio
  File "/usr/src/kitchenowl/app/__init__.py", line 4, in <module>
    from app.controller import *
  File "/usr/src/kitchenowl/app/controller/__init__.py", line 4, in <module>
    from .recipe import *
  File "/usr/src/kitchenowl/app/controller/recipe/__init__.py", line 1, in <module>
    from .recipe_controller import recipe, recipeHousehold
  File "/usr/src/kitchenowl/app/controller/recipe/recipe_controller.py", line 13, in <module>
    from app.service.recipe_scraping import scrape
  File "/usr/src/kitchenowl/app/service/recipe_scraping.py", line 9, in <module>
    from app.service.ingredient_parsing import parseIngredients
  File "/usr/src/kitchenowl/app/service/ingredient_parsing.py", line 2, in <module>
    import ingredient_parser
  File "/opt/venv/lib/python3.14/site-packages/ingredient_parser/__init__.py", line 1, in <module>
    from ._common import SUPPORTED_LANGUAGES, show_model_card
  File "/opt/venv/lib/python3.14/site-packages/ingredient_parser/_common.py", line 14, in <module>
    import nltk
  File "/opt/venv/lib/python3.14/site-packages/nltk/__init__.py", line 134, in <module>
    from nltk.collocations import *
  File "/opt/venv/lib/python3.14/site-packages/nltk/collocations.py", line 36, in <module>
    from nltk.metrics import (
    ...<4 lines>...
    )
  File "/opt/venv/lib/python3.14/site-packages/nltk/metrics/__init__.py", line 17, in <module>
    from nltk.metrics.aline import align
  File "/opt/venv/lib/python3.14/site-packages/nltk/metrics/aline.py", line 41, in <module>
    import numpy as np
  File "/opt/venv/lib/python3.14/site-packages/numpy/__init__.py", line 112, in <module>
    from numpy.__config__ import show_config
  File "/opt/venv/lib/python3.14/site-packages/numpy/__config__.py", line 4, in <module>
    from numpy._core._multiarray_umath import (
    ...<3 lines>...
    )
  File "/opt/venv/lib/python3.14/site-packages/numpy/_core/__init__.py", line 22, in <module>
    from . import multiarray
  File "/opt/venv/lib/python3.14/site-packages/numpy/_core/multiarray.py", line 11, in <module>
    from . import _multiarray_umath, overrides
RuntimeError: NumPy was built with baseline optimizations:
(X86_V2) but your machine doesn't support:
(X86_V2).
`

Share your configuration

docker-compose.yaml:
version: "3"
services:
  frontend:
    container_name: docker_kitchenowl_frontend
    image: tombursch/kitchenowl-web:v0.7.4
    restart: unless-stopped
    environment:
      - BACK_URL=backend:5000 # Change this if you rename the containers
    ports:
      - "80:80"
    depends_on:
      - backend
    logging:
      driver: journald
      options:
        tag: Kitchenowl-FrontEnd

  backend:
    container_name: docker_kitchenowl_backend
    image: tombursch/kitchenowl-backend:v0.7.4
    restart: unless-stopped
    environment:
      - JWT_SECRET_KEY=<REDACTED>
      - FRONT_URL=https://<REDACTED> # Optional take a look at https://docs.kitchenowl.org/self-hosting/advanced/ for more info
      - SMTP_HOST=smtp.gmail.com
      - SMTP_PORT=465
      - SMTP_USER=<REDACTED>
      - SMTP_PASS=<REDACTED>
      - SMTP_FROM=KitchenOwl
      - SMTP_REPLY_TO=<REDACTED>
    volumes:
      - ./data:/data
    logging:
      driver: journald
      options:
        tag: Kitchenowl-Backend


volumes:
  kitchenowl_data:

[TomBursch]

Thanks for the report. Can you tell me a bit about your system, specifically what CPU are you using?

[Exzellius]

Hello,

the physical CPU is an Intel Core i7-8700. The Container runs in an OpenSuse Leap 15.5 VM on proxmox and has a virtualized CPU of course.

Any more info you need?

[TomBursch]

Which version of proxmox are you using? I've found information online that suggests version 8.0 or higher should fix this

[Exzellius]

I am running PVE 8.4.16, so this is probably not the problem?
Also more information on the virtualized CPU if that helps:

docker:~ # cat /proc/cpuinfo
processor       : 0
vendor_id       : GenuineIntel
cpu family      : 15
model           : 6
model name      : Common KVM processor
stepping        : 1
microcode       : 0x1
cpu MHz         : 3191.998
cache size      : 16384 KB
physical id     : 0
siblings        : 2
core id         : 0
cpu cores       : 2
apicid          : 0
initial apicid  : 0
fpu             : yes
fpu_exception   : yes
cpuid level     : 13
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx lm constant_tsc nopl xtopology cpuid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm cpuid_fault pti
bugs            : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit mmio_unknown bhi its
bogomips        : 6383.99
clflush size    : 64
cache_alignment : 128
address sizes   : 40 bits physical, 48 bits virtual
power management:

processor       : 1
vendor_id       : GenuineIntel
cpu family      : 15
model           : 6
model name      : Common KVM processor
stepping        : 1
microcode       : 0x1
cpu MHz         : 3191.998
cache size      : 16384 KB
physical id     : 0
siblings        : 2
core id         : 1
cpu cores       : 2
apicid          : 1
initial apicid  : 1
fpu             : yes
fpu_exception   : yes
cpuid level     : 13
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx lm constant_tsc nopl xtopology cpuid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm cpuid_fault pti
bugs            : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit mmio_unknown bhi its
bogomips        : 6383.99
clflush size    : 64
cache_alignment : 128
address sizes   : 40 bits physical, 48 bits virtual
power management:

docker:~ #

[marmata]

I can confirm getting the same issue. Running the container in a proxmox 8.4 running on an i5-8400, VM running Debian 12 (bookworm):

$ cat /proc/cpuinfo
processor       : 0
vendor_id       : GenuineIntel
cpu family      : 15
model           : 6
model name      : Common KVM processor
stepping        : 1
microcode       : 0x1
cpu MHz         : 1703.998
cache size      : 16384 KB
physical id     : 0
siblings        : 2
core id         : 0
cpu cores       : 2
apicid          : 0
initial apicid  : 0
fpu             : yes
fpu_exception   : yes
cpuid level     : 13
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx lm constant_tsc nopl xtopology cpuid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm cpuid_fault pti
bugs            : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit mmio_unknown bhi its
bogomips        : 3407.99
clflush size    : 64
cache_alignment : 128
address sizes   : 40 bits physical, 48 bits virtual
power management:

However I realized I was running the VM with the kvm64 processor. Unless you have a physical process which doesn't have the x64_v2 instructions (built since Nehalem in 2008, with core i5-7xx) you can safely configure your processor type to be x86-64-v2-AES, shutdown the VM, power it up again and kitchenown will work!

[luluwebmaster]

Hello,

I have the same problem. Here the full log from the container :

/opt/venv/lib/python3.14/site-packages/pyRdfa/extras/httpheader.py:347: SyntaxWarning: "\-" is an invalid escape sequence. Such sequences will not work in the future. Did you mean "\\-"? A raw string is also an option.
  have been removed and all \-escapes will have been replaced with
/opt/venv/lib/python3.14/site-packages/pyRdfa/extras/httpheader.py:359: SyntaxWarning: "\-" is an invalid escape sequence. Such sequences will not work in the future. Did you mean "\\-"? A raw string is also an option.
  (token, chars_consumed), with all \-escapes and quotation already
/opt/venv/lib/python3.14/site-packages/pyRdfa/extras/httpheader.py:525: SyntaxWarning: "\-" is an invalid escape sequence. Such sequences will not work in the future. Did you mean "\\-"? A raw string is also an option.
  All \-escaped quoted pairs will have been replaced with the actual
Traceback (most recent call last):
  File "/opt/venv/bin/flask", line 10, in <module>
    sys.exit(main())
             ~~~~^^
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 1131, in main
    cli.main()
    ~~~~~~~~^^
  File "/opt/venv/lib/python3.14/site-packages/click/core.py", line 1406, in main
    rv = self.invoke(ctx)
  File "/opt/venv/lib/python3.14/site-packages/click/core.py", line 1867, in invoke
    cmd_name, cmd, args = self.resolve_command(ctx, args)
                          ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
  File "/opt/venv/lib/python3.14/site-packages/click/core.py", line 1914, in resolve_command
    cmd = self.get_command(ctx, cmd_name)
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 631, in get_command
    app = info.load_app()
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 353, in load_app
    app = locate_app(import_name, None, raise_if_not_found=False)
  File "/opt/venv/lib/python3.14/site-packages/flask/cli.py", line 245, in locate_app
    __import__(module_name)
    ~~~~~~~~~~^^^^^^^^^^^^^
  File "/usr/src/kitchenowl/wsgi.py", line 7, in <module>
    from app import app, socketio
  File "/usr/src/kitchenowl/app/__init__.py", line 4, in <module>
    from app.controller import *
  File "/usr/src/kitchenowl/app/controller/__init__.py", line 4, in <module>
    from .recipe import *
  File "/usr/src/kitchenowl/app/controller/recipe/__init__.py", line 1, in <module>
    from .recipe_controller import recipe, recipeHousehold
  File "/usr/src/kitchenowl/app/controller/recipe/recipe_controller.py", line 13, in <module>
    from app.service.recipe_scraping import scrape
  File "/usr/src/kitchenowl/app/service/recipe_scraping.py", line 9, in <module>
    from app.service.ingredient_parsing import parseIngredients
  File "/usr/src/kitchenowl/app/service/ingredient_parsing.py", line 2, in <module>
    import ingredient_parser
  File "/opt/venv/lib/python3.14/site-packages/ingredient_parser/__init__.py", line 1, in <module>
    from ._common import SUPPORTED_LANGUAGES, show_model_card
  File "/opt/venv/lib/python3.14/site-packages/ingredient_parser/_common.py", line 14, in <module>
    import nltk
  File "/opt/venv/lib/python3.14/site-packages/nltk/__init__.py", line 134, in <module>
    from nltk.collocations import *
  File "/opt/venv/lib/python3.14/site-packages/nltk/collocations.py", line 36, in <module>
    from nltk.metrics import (
    ...<4 lines>...
    )
  File "/opt/venv/lib/python3.14/site-packages/nltk/metrics/__init__.py", line 17, in <module>
    from nltk.metrics.aline import align
  File "/opt/venv/lib/python3.14/site-packages/nltk/metrics/aline.py", line 41, in <module>
    import numpy as np
  File "/opt/venv/lib/python3.14/site-packages/numpy/__init__.py", line 112, in <module>
    from numpy.__config__ import show_config
  File "/opt/venv/lib/python3.14/site-packages/numpy/__config__.py", line 4, in <module>
    from numpy._core._multiarray_umath import (
    ...<3 lines>...
    )
  File "/opt/venv/lib/python3.14/site-packages/numpy/_core/__init__.py", line 22, in <module>
    from . import multiarray
  File "/opt/venv/lib/python3.14/site-packages/numpy/_core/multiarray.py", line 11, in <module>
    from . import _multiarray_umath, overrides
RuntimeError: NumPy was built with baseline optimizations: 
(X86_V2) but your machine doesn't support:
(X86_V2).

I'm running the "tombursch/kitchenowl:latest" image into a Ubuntu "22.04.5 LTS" VM, into à "Proxmox 7.4-17 Server".

[marmata]

@luluwebmaster the solution is in my previous comment!

[Exzellius]

I can confirm getting the same issue. Running the container in a proxmox 8.4 running on an i5-8400, VM running Debian 12 (bookworm):

$ cat /proc/cpuinfo
processor       : 0
vendor_id       : GenuineIntel
cpu family      : 15
model           : 6
model name      : Common KVM processor
stepping        : 1
microcode       : 0x1
cpu MHz         : 1703.998
cache size      : 16384 KB
physical id     : 0
siblings        : 2
core id         : 0
cpu cores       : 2
apicid          : 0
initial apicid  : 0
fpu             : yes
fpu_exception   : yes
cpuid level     : 13
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx lm constant_tsc nopl xtopology cpuid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm cpuid_fault pti
bugs            : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit mmio_unknown bhi its
bogomips        : 3407.99
clflush size    : 64
cache_alignment : 128
address sizes   : 40 bits physical, 48 bits virtual
power management:

However I realized I was running the VM with the kvm64 processor. Unless you have a physical process which doesn't have the x64_v2 instructions (built since Nehalem in 2008, with core i5-7xx) you can safely configure your processor type to be x86-64-v2-AES, shutdown the VM, power it up again and kitchenown will work!

This has fixed the issue for me. I see no downside in using the updated CPU type. @TomBursch your decision if you want to close the Issue or if you want to build around it.

[TomBursch]

Thanks a lot @marmata for posting a solution! I'll either add it to the documentation or see if I can build NumPy without the x64_v2 instructions (and will try to find what downsides that has). Until then I'll leave this issue open.

[luluwebmaster]

Hello, after upgrading PVE and now using "x86-64-v2-AES" as processor for VM, the project now work great !

Thank you for the help 👍