Duplicate from davanstrien/webhook_metadata_reviewer

Co-authored-by: Daniel van Strien <davanstrien@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+# Use the official Python 3.9 image
+FROM python:3.11-slim-bullseye
+
+# Set the working directory to /code
+WORKDIR /code
+
+# Copy the current directory contents into the container at /code
+COPY ./requirements.txt /code/requirements.txt
+
+# Install requirements.txt 
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+# Switch to the "user" user
+USER user
+# Set home to the user's home directory
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+CMD ["uvicorn", "main:app","--proxy-headers", "--host", "0.0.0.0", "--port", "7860"]

README.md

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+---
+title: Test Webhooks
+emoji: 👀
+colorFrom: blue
+colorTo: pink
+sdk: docker
+pinned: false
+duplicated_from: davanstrien/webhook_metadata_reviewer
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

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+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
+from toolz import valmap
+
+KEY = os.environ.get("WEBHOOK_SECRET")
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
+api = HfApi(token=HF_TOKEN)
+login(HF_TOKEN)
+
+app = FastAPI()
+
+
+@app.get("/")
+def read_root():
+    return {"Hello": "World!"}
+
+
+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 = valmap(lambda x: x or "Field Missing", desired_metadata_dictionary)
+    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(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(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
+
+
+@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)
+        payload = await request.body()
+        data = json.loads(payload)
+        result = create_or_update_report(data)
+        return "Webhook received!" if result else result

requirements.txt

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+huggingface_hub==0.12.0
+tabulate==0.9.0
+toolz==0.12.0
+fastapi==0.89.1
+uvicorn==0.20.0