[Core] ray installed from conda does not include the dashboard

What happened + What you expected to happen

When initializing ray (ray.init() call) I get a bunch of outputs.

2022-12-01 14:30:35,649 ERROR services.py:1403 -- Failed to start the dashboard: Failed to start the dashboard, return code 0
 The last 10 lines of /tmp/ray/session_2022-12-01_14-30-33_539844_204848/logs/dashboard.log:
    raise ex
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/http_server_head.py", line 78, in __init__
    build_dir = setup_static_dir()
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/http_server_head.py", line 45, in setup_static_dir
    raise dashboard_utils.FrontendNotFoundError(
ray.dashboard.utils.FrontendNotFoundError: [Errno 2] Dashboard build directory not found. If installing from source, please follow the additional steps required to build the dashboard(cd py
thon/ray/dashboard/client && npm install && npm ci && npm run build): 'miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/client/build'

2022-12-01 14:30:35,465 ERROR base_events.py:1707 -- Unclosed client session
client_session: <aiohttp.client.ClientSession object at 0x7fdaf99987f0>
2022-12-01 14:30:35,465 ERROR base_events.py:1707 -- Unclosed client session
2022-12-01 14:30:35,649 ERROR services.py:1404 -- Failed to start the dashboard, return code 0
 The last 10 lines of /tmp/ray/session_2022-12-01_14-30-33_539844_204848/logs/dashboard.log:
    raise ex
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/http_server_head.py", line 78, in __init__
    build_dir = setup_static_dir()
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/http_server_head.py", line 45, in setup_static_dir
    raise dashboard_utils.FrontendNotFoundError(
ray.dashboard.utils.FrontendNotFoundError: [Errno 2] Dashboard build directory not found. If installing from source, please follow the additional steps required to build the dashboard(cd py
thon/ray/dashboard/client && npm install && npm ci && npm run build): 'miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/client/build'

2022-12-01 14:30:35,465 ERROR base_events.py:1707 -- Unclosed client session
client_session: <aiohttp.client.ClientSession object at 0x7fdaf99987f0>
2022-12-01 14:30:35,465 ERROR base_events.py:1707 -- Unclosed client session
Traceback (most recent call last):
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/_private/services.py", line 1389, in start_api_server
    raise Exception(err_msg + last_log_str)
Exception: Failed to start the dashboard, return code 0
 The last 10 lines of /tmp/ray/session_2022-12-01_14-30-33_539844_204848/logs/dashboard.log:
    raise ex
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/http_server_head.py", line 78, in __init__
    build_dir = setup_static_dir()
  File "miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/http_server_head.py", line 45, in setup_static_dir
    raise dashboard_utils.FrontendNotFoundError(
ray.dashboard.utils.FrontendNotFoundError: [Errno 2] Dashboard build directory not found. If installing from source, please follow the additional steps required to build the dashboard(cd py
thon/ray/dashboard/client && npm install && npm ci && npm run build): 'miniconda3/envs/test-env/lib/python3.8/site-packages/ray/dashboard/client/build'

2022-12-01 14:30:35,465 ERROR base_events.py:1707 -- Unclosed client session
client_session: <aiohttp.client.ClientSession object at 0x7fdaf99987f0>
2022-12-01 14:30:35,465 ERROR base_events.py:1707 -- Unclosed client session
2022-12-01 14:30:35,770 INFO worker.py:1528 -- Started a local Ray instance.
RayContext(dashboard_url=None, python_version='3.8.15', ray_version='2.1.0', ray_commit='{{RAY_COMMIT_SHA}}', address_info={'node_ip_address': '10.241.129.69', 'raylet_ip_address':
'10.241.129.69', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-12-01_14-30-33_539844_204848/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-12-01
_14-30-33_539844_204848/sockets/raylet', 'webui_url': None, 'session_dir': '/tmp/ray/session_2022-12-01_14-30-33_539844_204848', 'metrics_export_port': 50699, 'gcs_address': '10.241.129.69:
53293', 'address': '10.241.129.69:53293', 'dashboard_agent_listen_port': 52365, 'node_id': 'debb9178951b5b35bfef390be04087813790aa34678c5619e910becc'})

(raylet) [2022-12-01 14:30:43,908 E 206329 206375] (raylet) agent_manager.cc:134: The raylet exited immediately because the Ray agent failed. The raylet fate shares with the agent. This can
 happen because the Ray agent was unexpectedly killed or failed. See `dashboard_agent.log` for the root cause.
2022-12-01 14:31:13,565 WARNING worker.py:1839 -- The node with node id: debb9178951b5b35bfef390be04087813790aa34678c5619e910becc and address: 10.241.129.69 and node name: 10.241.12
9.69 has been marked dead because the detector has missed too many heartbeats from it. This can happen when a   (1) raylet crashes unexpectedly (OOM, preempted node, etc.)
        (2) raylet has lagging heartbeats due to slow network or busy workload.

Versions / Dependencies

Ray 2.1.0 (installed from conda-forge) Python 3.8.15

The issue happens both on

NAME=“Ubuntu” VERSION=“20.04.4 LTS (Focal Fossa)” ID=ubuntu ID_LIKE=debian PRETTY_NAME=“Ubuntu 20.04.4 LTS” VERSION_ID=“20.04” HOME_URL=“https://www.ubuntu.com/” SUPPORT_URL=“https://help.ubuntu.com/” BUG_REPORT_URL=“https://bugs.launchpad.net/ubuntu/” PRIVACY_POLICY_URL=“https://www.ubuntu.com/legal/terms-and-policies/privacy-policy” VERSION_CODENAME=focal UBUNTU_CODENAME=focal

and on

PRETTY_NAME=“Ubuntu 22.04.1 LTS” NAME=“Ubuntu” VERSION_ID=“22.04” VERSION=“22.04.1 LTS (Jammy Jellyfish)” VERSION_CODENAME=jammy ID=ubuntu ID_LIKE=debian HOME_URL=“https://www.ubuntu.com/” SUPPORT_URL=“https://help.ubuntu.com/” BUG_REPORT_URL=“https://bugs.launchpad.net/ubuntu/” PRIVACY_POLICY_URL=“https://www.ubuntu.com/legal/terms-and-policies/privacy-policy” UBUNTU_CODENAME=jammy

Reproduction script

import ray ray.init()

Issue Severity

High: It blocks me from completing my task.