Sync from GitHub via hub-sync

README.md

@@ -50,18 +50,12 @@ Use `hf jobs run ... uv run <url>` here, not `hf jobs uv run <url>`. `hf jobs uv
 
 **2. Create a webhook on the input bucket that re-runs this Job:**
 
-```python
-from huggingface_hub import create_webhook
-
-create_webhook(
-    job_id="<job id from step 1>",
-    watched=[{"type": "bucket", "name": "<user>/my-raw-files"}],
-    domains=["repo"],
-    secret="<fine-grained token>",
-)
+```bash
+hf webhooks create --job-id <job id from step 1> \
+    --watch bucket:<user>/my-raw-files --domain repo --secrets HF_TOKEN
 ```
 
-The Job uses the webhook `secret` as its token to read and write the buckets. Use a fine-grained token, not your main one.
+`--secrets HF_TOKEN` stores a token with the webhook, encrypted, and every triggered run receives it as a secret to read and write the buckets. The value comes from `HF_TOKEN` in your environment, or from the token you logged in with; pass `--secrets HF_TOKEN=hf_…` to use a different one. Use a fine-grained token, not your main one. The base Job needs no `--secrets`, because a webhook run does not inherit the Job's own secrets.
 
 **3. Upload a file:**
 

optimize-parquet.py

@@ -19,13 +19,10 @@ Setup (once):
         uv run https://huggingface.co/datasets/uv-scripts/data-processing/raw/main/optimize-parquet.py
 
     # 2. A webhook on the input bucket that re-runs that Job on every change.
-    from huggingface_hub import create_webhook
-    create_webhook(
-        job_id="<job id from step 1>",
-        watched=[{"type": "bucket", "name": "<user>/<input-bucket>"}],
-        domains=["repo"],
-        secret="<fine-grained token>",
-    )
+    #    --secrets HF_TOKEN gives every triggered run a token for the two buckets;
+    #    a webhook run does not inherit the base Job's own secrets.
+    hf webhooks create --job-id <job id from step 1> \\
+        --watch bucket:<user>/<input-bucket> --domain repo --secrets HF_TOKEN
 
 Then upload files to the input bucket, e.g.
 `hf buckets cp data.csv hf://buckets/<user>/<input-bucket>/data.csv`,
@@ -40,10 +37,6 @@ from pathlib import PurePosixPath
 
 from datasets import load_dataset
 
-# Use the webhook secret as the token when HF_TOKEN is not set.
-if "HF_TOKEN" not in os.environ and "WEBHOOK_SECRET" in os.environ:
-    os.environ["HF_TOKEN"] = os.environ["WEBHOOK_SECRET"]
-
 BUILDERS = {".csv": "csv", ".json": "json", ".jsonl": "json", ".parquet": "parquet"}
 
 event = json.loads(os.environ.get("WEBHOOK_PAYLOAD", "{}"))