run it again

main.py

@@ -0,0 +1,152 @@
+import json
+import os
+from difflib import SequenceMatcher
+from typing import Any, Dict, Optional, Tuple
+
+from fastapi import FastAPI, Request, Response
+from huggingface_hub import (DatasetCard, HfApi, ModelCard, comment_discussion,
+                             create_discussion, get_discussion_details,
+                             get_repo_discussions, login)
+from huggingface_hub.utils import EntryNotFoundError
+from tabulate import tabulate
+
+KEY = os.environ.get("WEBHOOK_SECRET")
+#HF_TOKEN = os.environ.get("HF_ACCESS_TOKEN")
+
+#api = HfApi(token=HF_TOKEN)
+#login(HF_TOKEN)
+
+#app = FastAPI()
+
+
+
+
+def similar(a, b):
+    """Check similarity of two sequences"""
+    return SequenceMatcher(None, a, b).ratio()
+
+
+def create_metadata_key_dict(card_data, repo_type: str):
+    shared_keys = ["tags", "license"]
+    if repo_type == "model":
+        model_keys = ["library_name", "datasets", "metrics", "co2", "pipeline_tag"]
+        shared_keys.extend(model_keys)
+        keys = shared_keys
+        return {key: card_data.get(key) for key in keys}
+    if repo_type == "dataset":
+        data_keys = [
+            "pretty_name",
+            "size_categories",
+            "task_categories",
+            "task_ids",
+            "source_datasets",
+        ]
+        shared_keys.extend(data_keys)
+        keys = shared_keys
+        return {key: card_data.get(key) for key in keys}
+
+
+def create_metadata_breakdown_table(desired_metadata_dictionary):
+    data = {k:v or "Field Missing" for k,v in desired_metadata_dictionary.items()}
+    metadata_fields_column = list(data.keys())
+    metadata_values_column = list(data.values())
+    table_data = list(zip(metadata_fields_column, metadata_values_column))
+    return tabulate(
+        table_data, tablefmt="github", headers=("Metadata Field", "Provided Value")
+    )
+
+
+def calculate_grade(desired_metadata_dictionary):
+    metadata_values = list(desired_metadata_dictionary.values())
+    score = sum(1 if field else 0 for field in metadata_values) / len(metadata_values)
+    return round(score, 2)
+
+
+def create_markdown_report(
+    desired_metadata_dictionary, repo_name, repo_type, score, update: bool = False
+):
+    report = f"""# {repo_type.title()} metadata report card {"(updated)" if update else ""}
+    \n
+This is an automatically produced metadata quality report card for {repo_name}. This report is meant as a POC!
+    \n 
+## Breakdown of metadata fields for your{repo_type}
+\n
+{create_metadata_breakdown_table(desired_metadata_dictionary)}
+\n
+You scored a metadata coverage grade of: **{score}**% \n {f"We're not angry we're just disappointed! {repo_type.title()} metadata is super important. Please try harder..."
+if score <= 0.5 else f"Not too shabby! Make sure you also fill in a {repo_type} card too!"}
+    """
+    return report
+
+
+def parse_webhook_post(data: Dict[str, Any]) -> Optional[Tuple[str, str]]:
+    event = data["event"]
+    if event["scope"] != "repo":
+        return None
+    repo = data["repo"]
+    repo_name = repo["name"]
+    repo_type = repo["type"]
+    if repo_type not in {"model", "dataset"}:
+        raise ValueError("Unknown hub type")
+    return repo_type, repo_name
+
+
+def load_repo_card_metadata(repo_type, repo_name):
+    if repo_type == "dataset":
+        try:
+            return DatasetCard.load(repo_name).data.to_dict()
+        except EntryNotFoundError:
+            return {}
+    if repo_type == "model":
+        try:
+            return ModelCard.load(repo_name).data.to_dict()
+        except EntryNotFoundError:
+            return {}
+
+
+def create_or_update_report(data):
+    if parsed_post := parse_webhook_post(data):
+        repo_type, repo_name = parsed_post
+    else:
+        return Response("Unable to parse webhook data", status_code=400)
+    card_data = load_repo_card_metadata(repo_type, repo_name)
+    desired_metadata_dictionary = create_metadata_key_dict(card_data, repo_type)
+    score = calculate_grade(desired_metadata_dictionary)
+    report = create_markdown_report(
+        desired_metadata_dictionary, repo_name, repo_type, score, update=False
+    )
+    repo_discussions = get_repo_discussions(
+        repo_name,
+        repo_type=repo_type,
+    )
+    for discussion in repo_discussions:
+        if (
+            discussion.title == "Metadata Report Card" and discussion.status == "open"
+        ):  # An existing open report card thread
+            discussion_details = get_discussion_details(
+                repo_name, discussion.num, repo_type=repo_type
+            )
+            last_comment = discussion_details.events[-1].content
+            if similar(report, last_comment) <= 0.999:
+                report = create_markdown_report(
+                    desired_metadata_dictionary,
+                    repo_name,
+                    repo_type,
+                    score,
+                    update=True,
+                )
+                comment_discussion(
+                    repo_name,
+                    discussion.num,
+                    comment=report,
+                    repo_type=repo_type,
+                )
+            return True
+    create_discussion(
+        repo_name,
+        "Metadata Report Card",
+        description=report,
+        repo_type=repo_type,
+    )
+    return True
+

server.py

@@ -0,0 +1,27 @@
+import os
+from fastapi import FastAPI, Request, Response
+from main import create_or_update_report
+from tabulate import tabulate
+
+KEY = os.environ.get("WEBHOOK_SECRET")
+
+app = FastAPI()
+
+@app.get("/")
+def read_root():
+    data = """
+    <h2 style="text-align:center">Metadata Review Bot</h2>
+    <p style="text-align:center">This is a demo app showing how to use webhooks to automate metadata review for models and datasets shared on the Hugging Face Hub.</p>
+    """
+    return Response(content=data, media_type="text/html")
+
+@app.post("/webhook")
+async def webhook(request: Request):
+    if request.method == "POST":
+        if request.headers.get("X-Webhook-Secret") != KEY:
+            return Response("Invalid secret", status_code=401)
+        data = await request.json()
+        result = create_or_update_report(data)
+        return "Webhook received!" if result else result
+
+