vlmm_metadata

.github/workflows/vllm.yml

@@ -0,0 +1,108 @@
+name: Daily Python Script Execution
+
+on:
+  pull_request:
+  schedule:
+    # Runs at 00:00 UTC every day
+    - cron: '0 0 * * *'
+
+jobs:
+  run-python-script:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.10'  # Ensure this matches the Python version you need
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install requests huggingface-hub
+
+    - name: Execute Python script
+      env:
+        HF_TOKEN: ${{ secrets.HF_TOKEN }}  # Make sure to set this secret in your repository settings
+      run: python -c '
+import os
+import ast
+import json
+import requests
+from huggingface_hub import HfApi
+
+
+def extract_models_sub_dict(parsed_code, sub_dict_name):
+    class MODELS_SUB_LIST_VISITOR(ast.NodeVisitor):
+        def __init__(self):
+            self.key = sub_dict_name
+            self.value = None
+
+        def visit_Assign(self, node):
+            for target in node.targets:
+                if isinstance(target, ast.Name) and target.id == self.key:
+                    self.value = ast.literal_eval(node.value)  
+
+    visitor = MODELS_SUB_LIST_VISITOR()
+    visitor.visit(parsed_code)
+    return visitor.value
+
+
+def extract_models_dict(source_code):
+    parsed_code = ast.parse(source_code)
+
+    class MODELS_LIST_VISITOR(ast.NodeVisitor):
+        def __init__(self):
+            self.key = "_MODELS"
+            self.value = {}
+
+        def visit_Assign(self, node):
+            for target in node.targets:
+                if not isinstance(target, ast.Name):
+                    return
+                if target.id == self.key:
+                    for value in node.value.values:
+                        dict = extract_models_sub_dict(parsed_code, value.id)
+                        self.value.update(dict)
+
+    visitor = MODELS_LIST_VISITOR()
+    visitor.visit(parsed_code)
+    return visitor.value
+
+
+# Fetch the content of the file
+url = "https://raw.githubusercontent.com/vllm-project/vllm/refs/heads/main/vllm/model_executor/models/registry.py"
+response = requests.get(url)
+response.raise_for_status()  # Raise an exception for bad status codes
+source_code = response.text
+
+if __name__ == '__main__':
+    # extract models dict that consists of sub dicts
+    # _MODELS = {
+    #     **_TEXT_GENERATION_MODELS,
+    #     **_EMBEDDING_MODELS,
+    #     **_MULTIMODAL_MODELS,
+    #     **_SPECULATIVE_DECODING_MODELS,
+    # }
+    # _TEXT_GENERATION_MODELS = {
+    #     "AquilaModel": ("llama", "LlamaForCausalLM"),
+    #     "AquilaForCausalLM": ("llama", "LlamaForCausalLM"),  # AquilaChat2
+    #     "ArcticForCausalLM": ("arctic", "ArcticForCausalLM"),
+    #     ...
+    models_dict = extract_models_dict(source_code)
+    architectures = [item for tup in models_dict.values() for item in tup]
+    architectures_json_str = json.dumps(architectures, indent=4)
+    json_bytes = architectures_json_str.encode('utf-8')
+    print(architectures_json_str)
+
+    # api = HfApi(token=os.environ["HF_TOKEN"])
+    # api.upload_file(
+    #     path_or_fileobj=json_bytes,
+    #     path_in_repo="archtiectures.json",
+    #     repo_id="mishig/test-vllm",
+    #     repo_type="dataset",
+    # )'
+