@Marvin debug this error when using prefect with ray

Flow error: Initialization failure from server:
Traceback (most recent call last):
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/util/client/server/proxier.py", line 707, in Datapath
    if not self.proxy_manager.start_specific_server(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/util/client/server/proxier.py", line 307, in start_specific_server
    serialized_runtime_env_context = self._create_runtime_env(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/util/client/server/proxier.py", line 264, in _create_runtime_env
    raise RuntimeError(
RuntimeError: Failed to create runtime_env for Ray client server, it is caused by:
Traceback (most recent call last):
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 384, in _create_runtime_env_with_retry
    runtime_env_context = await asyncio.wait_for(
  File "/home/ray/anaconda3/lib/python3.10/asyncio/tasks.py", line 445, in wait_for
    return fut.result()
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 332, in _setup_runtime_env
    await create_for_plugin_if_needed(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/plugin.py", line 254, in create_for_plugin_if_needed
    size_bytes = await plugin.create(uri, runtime_env, context, logger=logger)
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/working_dir.py", line 163, in create
    local_dir = await download_and_unpack_package(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/packaging.py", line 715, in download_and_unpack_package
    raise IOError(
OSError: Failed to download runtime_env file package <gcs://_ray_pkg_1fb265edc52dd223.zip> from the GCS to the Ray worker node. The package may have prematurely been deleted from the GCS due to a long upload time or a problem with Ray. Try setting the environment variable RAY_RUNTIME_ENV_TEMPORARY_REFERENCE_EXPIRATION_S  to a value larger than the upload time in seconds (the default is 600). If this fails, try re-running after making any change to a file in the file package.

Your message was too long by 279 tokens...

@Marvin debug this

Flow error: Initialization failure from server:
Traceback (most recent call last):
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/util/client/server/proxier.py", line 707, in Datapath
    if not self.proxy_manager.start_specific_server(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/util/client/server/proxier.py", line 307, in start_specific_server
    serialized_runtime_env_context = self._create_runtime_env(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/util/client/server/proxier.py", line 264, in _create_runtime_env
    raise RuntimeError(
RuntimeError: Failed to create runtime_env for Ray client server, it is caused by:
Traceback (most recent call last):
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 384, in _create_runtime_env_with_retry
    runtime_env_context = await asyncio.wait_for(
  File "/home/ray/anaconda3/lib/python3.10/asyncio/tasks.py", line 445, in wait_for
    return fut.result()
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 332, in _setup_runtime_env
    await create_for_plugin_if_needed(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/plugin.py", line 254, in create_for_plugin_if_needed
    size_bytes = await plugin.create(uri, runtime_env, context, logger=logger)
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/working_dir.py", line 163, in create
    local_dir = await download_and_unpack_package(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/packaging.py", line 715, in download_and_unpack_package
    raise IOError(

Your message was too long by 158 tokens...

@Marvin help with this error

RuntimeError: Failed to create runtime_env for Ray client server, it is caused by:
Traceback (most recent call last):
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 384, in _create_runtime_env_with_retry
    runtime_env_context = await asyncio.wait_for(
  File "/home/ray/anaconda3/lib/python3.10/asyncio/tasks.py", line 445, in wait_for
    return fut.result()
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 332, in _setup_runtime_env
    await create_for_plugin_if_needed(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/plugin.py", line 254, in create_for_plugin_if_needed
    size_bytes = await plugin.create(uri, runtime_env, context, logger=logger)
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/working_dir.py", line 163, in create
    local_dir = await download_and_unpack_package(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/packaging.py", line 715, in download_and_unpack_package
    raise IOError(

Your message was too long by 8 tokens...

@Marvin

packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 384, in _create_runtime_env_with_retry
    runtime_env_context = await asyncio.wait_for(
  File "/home/ray/anaconda3/lib/python3.10/asyncio/tasks.py", line 445, in wait_for
    return fut.result()
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/agent/runtime_env_agent.py", line 332, in _setup_runtime_env
    await create_for_plugin_if_needed(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/plugin.py", line 254, in create_for_plugin_if_needed
    size_bytes = await plugin.create(uri, runtime_env, context, logger=logger)
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/working_dir.py", line 163, in create
    local_dir = await download_and_unpack_package(
  File "/home/ray/anaconda3/lib/python3.10/site-packages/ray/_private/runtime_env/packaging.py", line 715, in download_and_unpack_package
    raise IOError(

It seems you're encountering an

IOError

while working with Ray's runtime environment. This error typically occurs when there's an issue with downloading or unpacking a package. Here are a few steps to help you troubleshoot and resolve this issue: 1. Check Network Connectivity: Ensure that your network connection is stable. The error might be due to a network disruption while downloading the package. 2. Verify Package URI: Double-check the URI of the package you're trying to download. Ensure that it is correct and accessible. 3. Inspect Ray Logs: Look at the Ray logs for more detailed error messages. They might provide additional context about what went wrong. 4. Increase Timeout: If the package is large, consider increasing the timeout for the download operation. This can be done by adjusting the

asyncio.wait_for

timeout parameter. 5. Disk Space: Ensure that there is enough disk space available for the package to be downloaded and unpacked. 6. Permissions: Verify that the directory where the package is being downloaded has the correct permissions. If you continue to face issues, you might want to check Ray's documentation or community forums for similar issues. If you have specific questions about Prefect's integration with Ray, feel free to ask, and I can look into that for you.

@Marvin

2025-02-01 17:56:33,546 INFO server.py:895 -- Starting Ray Client server on 0.0.0.0:10001, args Namespace(host='0.0.0.0', port=10001, mode='proxy', address='12.0.12.202:6379', redis_username=None, redis_password=None, runtime_env_agent_address='<http://12.0.12.202:47494>')
2025-02-01 17:57:45,890 INFO proxier.py:699 -- New data connection from client d82fe30632ae4ea2b53ea5ba78b942a6:
2025-02-01 17:57:45,896 INFO proxier.py:225 -- Increasing runtime env reference for ray_client_server_23000.Serialized runtime env is {"_ray_commit": "021baf7dd07db54c2dc23a7490f0604673f8d0d6", "pip": {"packages": ["prefect[ray]"], "pip_check": false}, "working_dir": "<gcs://_ray_pkg_1fb265edc52dd223.zip>"}.
2025-02-01 17:58:18,908 INFO proxier.py:771 -- d82fe30632ae4ea2b53ea5ba78b942a6 last started stream at 1738461465.887402. Current stream started at 1738461465.887402.

Your message was too long by 23 tokens...

@Marvin

2025-02-01 17:57:45,890 INFO proxier.py:699 -- New data connection from client d82fe30632ae4ea2b53ea5ba78b942a6:
2025-02-01 17:57:45,896 INFO proxier.py:225 -- Increasing runtime env reference for ray_client_server_23000.Serialized runtime env is {"_ray_commit": "021baf7dd07db54c2dc23a7490f0604673f8d0d6", "pip": {"packages": ["prefect[ray]"], "pip_check": false}, "working_dir": "<gcs://_ray_pkg_1fb265edc52dd223.zip>"}.
2025-02-01 17:58:18,908 INFO proxier.py:771 -- d82fe30632ae4ea2b53ea5ba78b942a6 last started stream at 1738461465.887402. Current stream started at 1738461465.887402.

It seems you're working with Ray and Prefect, specifically using Prefect's integration with Ray. The logs indicate that a new data connection has been established and that the runtime environment reference has been increased for a specific Ray client server. The runtime environment includes the Prefect package with Ray support and a working directory specified as a Google Cloud Storage (GCS) URI. Here's a brief breakdown of what's happening: 1. Data Connection: A new data connection is established with a client, identified by a unique ID (

d82fe30632ae4ea2b53ea5ba78b942a6

). 2. Runtime Environment: The runtime environment is configured with: - A specific Ray commit/version (

021baf7dd07db54c2dc23a7490f0604673f8d0d6

). - The

prefect[ray]

package, indicating that Prefect's Ray integration is being used. - A working directory specified as a GCS URI (

<gcs://_ray_pkg_1fb265edc52dd223.zip>

). 3. Stream Information: The logs provide timestamps for when the data stream started, which might be useful for debugging or performance monitoring. If you're experiencing issues or have specific questions about using Prefect with Ray, such as configuration details or troubleshooting tips, feel free to ask. I can search for more detailed information or provide guidance based on the Prefect documentation.

@Marvin based on above message the download of the package was successful then why am I getting the timeout

It seems like the package download itself might have been successful, but the timeout could be occurring during another part of the setup process. Here are a few potential reasons and steps to consider: 1. Package Unpacking: The timeout might be happening during the unpacking of the downloaded package. Ensure there is enough disk space and that the directory permissions are correct. 2. Network Latency: If there are network issues or high latency, it might affect the download or subsequent steps that rely on network communication. 3. Ray's Runtime Environment: There might be additional steps within Ray's runtime environment setup that are timing out. Check if there are any custom configurations or plugins that might be causing delays. 4. Resource Constraints: Ensure that your system has adequate resources (CPU, memory) to handle the operations being performed. 5. Inspect Logs: Look for additional logs around the timeout error to identify the exact step where it occurs. This might provide more insight into the problem. 6. Increase Timeout: If the operation is expected to take longer, consider increasing the timeout value in the

asyncio.wait_for

call. To further assist, I can search for specific information related to timeouts during Ray's runtime environment setup with Prefect. Let me know if you'd like me to do that.