Your message was too long by 33 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

here is what I have on my flow.py, why did the entrypoint fail?

@task async def create_container(): logger = get_run_logger() # Create a container with the specified flags logger.info("Creating a container with the specified flags...") container = await create_docker_container( image="seedooinsights/build:2f87053", command=[ "MKL_NUM_THREADS=8", "NUMBA_NUM_THREADS=8", "NUMBA_THREADING_LAYER=tbb", "OMP_NUM_THREADS=8", "python", "doloop/seedoo/indexing/faiss/faiss_cli.py", "--input_dataframes_path", "/seedoodata/saved_frames/ceserav5", "--cosine_similarity_threshold", "0.98", "--component_consistency_threshold", "0.99", "--knn_size", "30", "--add_cluster_labels_table", "False", "--exclude_run_nlp", "--clustering_mode", "patch", "--save_root_path", "/seedoodata/demo/", "--global_only", "False", "--remove_deduped", "False", "--index_name", "ceserav_small", "--create_basic_tables", "False", "--limit", "10000" ], volumes=[ "/

The error you're encountering is likely due to the way the command is specified when creating the Docker container. You are attempting to set

MKL_NUM_THREADS=8

as part of the command, but this isn't the correct way to set environment variables in a Docker container. ### Diagnosis and Fix 1. Setting Environment Variables: Instead of setting

MKL_NUM_THREADS=8

as part of your command, you should set it as an environment variable. 2. Modify Create Docker Container Task: Here’s an updated version of your task, where

MKL_NUM_THREADS=8

is set as an environment variable.

python
from prefect import task, flow, get_run_logger
from some_docker_library import create_docker_container

@task
async def create_container():
    logger = get_run_logger()
    container = await create_docker_container(
        image="seedooinsights/build:2f87053",
        command=[
            "python",
            "doloop/seedoo/indexing/faiss/faiss_cli.py",
            "--input_dataframes_path",
            "/seedoodata/saved_frames/ceserav5",
            "--cosine_similarity_threshold",
            "0.98",
            "--component_consistency_threshold",
            "0.99",
            "--knn_size",
            "30",
            "--add_cluster_labels_table",
            "False",
            "--exclude_run_nlp",
            "--clustering_mode",
            "patch",
            "--save_root_path",
            "/seedoodata/demo/",
            "--global_only",
            "False",
            "--remove_deduped",
            "False",
            "--index_name",
            "ceserav_small",
            "--create_basic_tables",
            "False",
            "--limit",
            "10000"
        ],
        volumes=[
            "/seedoodata:/seedoodata",
        ],
        environment={
            'MKL_NUM_THREADS': '8',
        }
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

# Usage example
@flow
def my_flow():
    create_container()

if __name__ == "__main__":
    my_flow()

### Explanation: 1. Environment Variable Setting: - The

environment

key in the

create_docker_container

method sets the environment variable

MKL_NUM_THREADS=8

, correctly passing this variable to the container. 2. Command Execution: - The

command

array starts with

"python"

and directly runs your script, avoiding any issues with interpreting

MKL_NUM_THREADS=8

as a standalone command. By placing

MKL_NUM_THREADS=8

in the environment section, it ensures it is set properly within the container environment, rather being misinterpreted as part of the command. Give this updated version a try. If something remains amiss, please let me know. The existential dread of debugging Docker issues is always better shared.

Your message was too long by 170 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

HOW TO FIX:

SeeDoo: [INFO] 2024-06-27 091602 (faiss.loader.<module>:58): Could not load library with AVX2 support due to: ImportError("/usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /opt/conda/envs/seedoo/lib/python3.10/site-packages/faiss/_swigfaiss_avx2.so)") SeeDoo: [INFO] 2024-06-27 091602 (faiss.loader.<module>:64): Loading faiss. Traceback (most recent call last): File "/workspace/doloop/seedoo/indexing/faiss/faiss_cli.py", line 12, in <module> from seedoo.indexing.faiss.graph import FaissGraph, index_df_folder File "/workspace/doloop/seedoo/indexing/faiss/graph.py", line 15, in <module> from seedoo.indexing.faiss.multi_gpu import MultiGPUFaissIndex File "/workspace/doloop/seedoo/indexing/faiss/multi_gpu.py", line 5, in <module> import faiss File "/opt/conda/envs/seedoo/lib/python3.10/site-packages/faiss/__init__.

Oh, the interminable despair of library dependencies. You are encountering an

ImportError

when trying to load the Faiss library due to a missing version of

GLIBCXX

. This typically means that the version of

libstdc++

installed in your Docker image is not compatible with what Faiss requires. ### Troubleshooting Steps: 1. Identify the Required Version: - The error message indicates that version

GLIBCXX_3.4.29

is required. You need to update or install the compatible GNU

libstdc++

library. 2. Update the Base Image: - Modify your Dockerfile to ensure the necessary version of

libstdc++

is installed. Here’s a step-by-step guide to fix this: ### Step 1: Update Dockerfile Add a step in your Dockerfile to update the

libstdc++

library.

Dockerfile
FROM seedooinsights/build:2f87053

# Update the package list and install the required version of libstdc++
RUN apt-get update && \
    apt-get install -y software-properties-common && \
    add-apt-repository ppa:ubuntu-toolchain-r/test && \
    apt-get update && \
    apt-get install -y libstdc++6

# Optionally clean up to reduce the image size
RUN apt-get clean && \
    rm -rf /var/lib/apt/lists/*

COPY entrypoint.sh /entrypoint.sh
ENTRYPOINT ["/entrypoint.sh"]
CMD ["python", "doloop/seedoo/indexing/faiss/faiss_cli.py"]

### Step 2: Rebuild and Push the Docker Image 1. Build the Docker Image:

sh
   docker build -t seedooinsights/build:updated .

2. Push the Docker Image (if you are using a repository):

sh
   docker push seedooinsights/build:updated

### Step 3: Update the Image in Your Flow Update your

flow.py

to use the new Docker image:

python
from prefect import task, flow, get_run_logger
from some_docker_library import create_docker_container

@task
async def create_container():
    logger = get_run_logger()
    container = await create_docker_container(
        image="seedooinsights/build:updated",
        command=[
            "python",
            "doloop/seedoo/indexing/faiss/faiss_cli.py",
            "--input_dataframes_path",
            "/seedoodata/saved_frames/ceserav5",
            "--cosine_similarity_threshold",
            "0.98",
            "--component_consistency_threshold",
            "0.99",
            "--knn_size",
            "30",
            "--add_cluster_labels_table",
            "False",
            "--exclude_run_nlp",
            "--clustering_mode",
            "patch",
            "--save_root_path",
            "/seedoodata/demo/",
            "--global_only",
            "False",
            "--remove_deduped",
            "False",
            "--index_name",
            "ceserav_small",
            "--create_basic_tables",
            "False",
            "--limit",
            "10000"
        ],
        volumes=[
            "/seedoodata:/seedoodata",
        ],
        environment={
            'MKL_NUM_THREADS': '8',
        }
    )
    <http://logger.info|logger.info>(f"Created container: {container}")
    return container

# Usage example
@flow
def my_flow():
    create_container()

if __name__ == "__main__":
    my_flow()

### Step 4: Deploy and Run the Flow Deploy and run your Prefect flow again with the updated Docker image. This should resolve the

GLIBCXX_3.4.29

not found error, allowing the Faiss library to load correctly. Let me know if the cosmic void still troubles you with errors, and I'll help you navigate through it.