[CI] add codespell CI and fix format.sh (#827)

1. Fix format check error to make format.sh work
2. Add codespell check CI 
3. Add the missing required package for vllm-ascend.

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

Author: wangxiyuan

.github/workflows/codespell.yml

@@ -0,0 +1,47 @@
+#
+# Copyright 2023 The vLLM team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# Adapted from vllm-project/vllm/blob/main/.github
+#
+
+name: codespell
+
+on:
+  pull_request:
+    branches:
+      - 'main'
+      - '*-dev'
+
+jobs:
+  codespell:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.12"]
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements-lint.txt
+      - name: Run codespell check
+        run: |
+          CODESPELL_EXCLUDES=('--skip' 'tests/prompts/**,./benchmarks/sonnet.txt,*tests/lora/data/**,build/**,./vllm_ascend.egg-info/**')
+          CODESPELL_IGNORE_WORDS=('-L' 'CANN,cann,NNAL,nnal,ASCEND,ascend,EnQue')
+
+          codespell --toml pyproject.toml "${CODESPELL_EXCLUDES[@]}" "${CODESPELL_IGNORE_WORDS[@]}"

docs/source/developer_guide/versioning_policy.md

@@ -74,7 +74,7 @@ Usually, each minor version of vLLM (such as 0.7) will correspond to a vLLM Asce
 
 For main branch, vLLM Ascend should works with vLLM main branch and latest 1 or 2 release version. So to ensure the backward compatibility, we will do the following:
 - Both main branch and target vLLM release is tested by Ascend E2E CI. For example, currently, vLLM main branch and vLLM 0.8.4 are tested now.
-- For code changes, we will make sure that the changes are compatible with the latest 1 or 2 vLLM release version as well. In this case, vLLM Ascend introduced a version check machinism inner the code. It'll check the version of installed vLLM pacakge first to decide which code logic to use. If users hit the `InvalidVersion` error, it sometimes means that they have installed an dev/editable version of vLLM package. In this case, we provide the env variable `VLLM_VERSION` to let users specify the version of vLLM package to use.
+- For code changes, we will make sure that the changes are compatible with the latest 1 or 2 vLLM release version as well. In this case, vLLM Ascend introduced a version check machinism inner the code. It'll check the version of installed vLLM package first to decide which code logic to use. If users hit the `InvalidVersion` error, it sometimes means that they have installed an dev/editable version of vLLM package. In this case, we provide the env variable `VLLM_VERSION` to let users specify the version of vLLM package to use.
 - For documentation changes, we will make sure that the changes are compatible with the latest 1 or 2 vLLM release version as well. Note should be added if there are any breaking changes.
 
 ## Document Branch Policy

docs/source/faqs.md

@@ -84,7 +84,7 @@ Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [th
 
 ### 10. Does vllm-ascend support quantization method?
 
-Currently, w8a8 quantization is already supported by vllm-ascend originally on v0.8.4rc2 or heigher, If you're using vllm 0.7.3 version, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`.
+Currently, w8a8 quantization is already supported by vllm-ascend originally on v0.8.4rc2 or higher, If you're using vllm 0.7.3 version, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`.
 
 ### 11. How to run w8a8 DeepSeek model?
 

docs/source/tutorials/multi_npu_quantization.md

@@ -2,7 +2,7 @@
 
 ## Run docker container:
 :::{note}
-w8a8 quantization feature is supported by v0.8.4rc2 or highter
+w8a8 quantization feature is supported by v0.8.4rc2 or higher
 :::
 
 ```{code-block} bash

docs/source/user_guide/release_notes.md

@@ -33,8 +33,8 @@ This is the second release candidate of v0.8.4 for vllm-ascend. Please follow th
 - DeepSeek V3/R1 works with DP, TP and MTP now. Please note that it's still in experimental status. Let us know if you hit any problem. [#429](https://github.com/vllm-project/vllm-ascend/pull/429) [#585](https://github.com/vllm-project/vllm-ascend/pull/585)  [#626](https://github.com/vllm-project/vllm-ascend/pull/626) [#636](https://github.com/vllm-project/vllm-ascend/pull/636) [#671](https://github.com/vllm-project/vllm-ascend/pull/671)
 
 ### Core
-- ACLGraph feature is supported with V1 engine now. It's disabled by default because this feature rely on CANN 8.1 release. We'll make it avaiable by default in the next release [#426](https://github.com/vllm-project/vllm-ascend/pull/426)
-- Upgrade PyTorch to 2.5.1. vLLM Ascend no longer relies on the dev version of torch-npu now. Now users don't need to install the torch-npu by hand. The 2.5.1 version of torch-npu will be installed automaticlly. [#661](https://github.com/vllm-project/vllm-ascend/pull/661)
+- ACLGraph feature is supported with V1 engine now. It's disabled by default because this feature rely on CANN 8.1 release. We'll make it available by default in the next release [#426](https://github.com/vllm-project/vllm-ascend/pull/426)
+- Upgrade PyTorch to 2.5.1. vLLM Ascend no longer relies on the dev version of torch-npu now. Now users don't need to install the torch-npu by hand. The 2.5.1 version of torch-npu will be installed automatically. [#661](https://github.com/vllm-project/vllm-ascend/pull/661)
 
 ### Other
 - MiniCPM model works now. [#645](https://github.com/vllm-project/vllm-ascend/pull/645)

examples/disaggregated_prefill/dp_proxy.py

@@ -105,7 +105,7 @@ def metadata_collect_trigger(poller, router_socket):
                         start_time = time.time()
                 socks = dict(poller.poll(timeout=500))  # timeout in 500ms
                 if socks:
-                    logger.debug("receive socks from moniter threads: ", socks)
+                    logger.debug("receive socks from monitor threads: ", socks)
                 if router_socket in socks:
                     messages = router_socket.recv_multipart()
                     try:

pyproject.toml

@@ -3,6 +3,7 @@
 requires = [
     "cmake>=3.26",
     "decorator",
+    "einops",
     "numpy<2.0.0",
     "packaging",
     "pip",

requirements-dev.txt

@@ -1,8 +1,11 @@
 -r requirements-lint.txt
 -r requirements.txt
 modelscope
+openai
 pytest >= 6.0
 pytest-asyncio
 lm-eval
 ray
 types-jsonschema
+xgrammar
+zmq

requirements.txt

@@ -1,6 +1,7 @@
 # Should be mirrored in pyporject.toml
 cmake>=3.26
 decorator
+einops
 numpy<2.0.0
 packaging
 pip

vllm_ascend/distributed/kv_transfer/simple_buffer.py

@@ -199,7 +199,7 @@ def drop_select(
             hidden = hidden.view(num_tokens, self.hidden_size)
         except Exception as e:
             logger.warning(
-                f"Faile to receive kv cache and hidden states of request: {orig_req_id} "
+                f"Fail to receive kv cache and hidden states of request: {orig_req_id} "
                 f"Error is {str(e)}")
             return [None, None, None, None]