fix(profiling): publish preview runs via hf dataset prs

scripts/ci/run_model_profiling.py

@@ -18,6 +18,8 @@ from __future__ import annotations
 
 import argparse
 import json
+import re
+import shutil
 import subprocess
 import time
 from dataclasses import dataclass
@@ -25,7 +27,7 @@ from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
-from huggingface_hub import HfApi
+from huggingface_hub import CommitOperationAdd, HfApi
 
 
 @dataclass(frozen=True)
@@ -41,14 +43,32 @@ class UploadTarget:
     path_in_repo: str
 
 
+@dataclass(frozen=True)
+class UploadResult:
+    uploaded_paths: dict[str, str]
+    pr_url: str | None = None
+
+
 def utc_timestamp_slug(now: datetime | None = None) -> str:
     current = now or datetime.now(UTC)
     return current.strftime("%Y%m%dT%H%M%SZ")
 
 
-def make_hub_file_url(repo_id: str, path_in_repo: str, repo_type: str = "dataset") -> str:
+def make_hub_file_url(
+    repo_id: str,
+    path_in_repo: str,
+    repo_type: str = "dataset",
+    revision: str = "main",
+) -> str:
     prefix = "datasets/" if repo_type == "dataset" else ""
-    return f"https://huggingface.co/{prefix}{repo_id}/resolve/main/{path_in_repo}"
+    return f"https://huggingface.co/{prefix}{repo_id}/resolve/{revision}/{path_in_repo}"
+
+
+def parse_discussion_num(pr_url: str | None) -> int | None:
+    if not pr_url:
+        return None
+    match = re.search(r"/discussions/(\d+)$", pr_url)
+    return int(match.group(1)) if match else None
 
 
 def upload_targets(
@@ -57,21 +77,33 @@ def upload_targets(
     *,
     repo_type: str = "dataset",
     token: str | None = None,
-    private: bool | None = None,
     commit_message: str | None = None,
-) -> dict[str, str]:
+    create_pr: bool = False,
+) -> UploadResult:
     api = HfApi(token=token)
-    uploaded: dict[str, str] = {}
+    operations = [
-    for target in targets:
+        CommitOperationAdd(path_in_repo=target.path_in_repo, path_or_fileobj=str(target.local_path))
-        api.upload_file(
+        for target in targets
-            path_or_fileobj=str(target.local_path),
+    ]
-            path_in_repo=target.path_in_repo,
+    commit = api.create_commit(
-            repo_id=repo_id,
+        repo_id=repo_id,
-            repo_type=repo_type,
+        repo_type=repo_type,
-            commit_message=commit_message or f"Upload {target.path_in_repo}",
+        operations=operations,
+        commit_message=commit_message or f"Upload {len(targets)} profiling artifacts",
+        revision="main",
+        create_pr=create_pr,
+    )
+    revision = "main"
+    pr_num = parse_discussion_num(commit.pr_url)
+    if create_pr and pr_num is not None:
+        revision = f"refs/pr/{pr_num}"
+    uploaded = {
+        target.path_in_repo: make_hub_file_url(
+            repo_id, target.path_in_repo, repo_type=repo_type, revision=revision
         )
-        uploaded[target.path_in_repo] = make_hub_file_url(repo_id, target.path_in_repo, repo_type=repo_type)
+        for target in targets
-    return uploaded
+    }
+    return UploadResult(uploaded_paths=uploaded, pr_url=commit.pr_url)
 
 
 def normalize_repo_id(repo: str, hub_org: str) -> str:
@@ -205,13 +237,14 @@ def upload_profile_run(
     row_path: Path,
     row_path_in_repo: str,
     artifact_targets: list[UploadTarget],
-) -> dict[str, str]:
+    create_pr: bool = False,
+) -> UploadResult:
     return upload_targets(
         repo_id=repo_id,
         targets=[*artifact_targets, UploadTarget(local_path=row_path, path_in_repo=row_path_in_repo)],
         repo_type="dataset",
-        private=False,
         commit_message=f"Add model profiling row {row_path_in_repo}",
+        create_pr=create_pr,
     )
 
 
@@ -221,7 +254,12 @@ def main() -> int:
     selected = get_selected_names(args.policies, specs)
     args.output_dir.mkdir(parents=True, exist_ok=True)
     repo_id = normalize_repo_id(args.results_repo, args.hub_org)
-    git_commit = args.git_commit or subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip()
+    git_executable = shutil.which("git")
+    if not git_executable:
+        raise RuntimeError("git executable not found in PATH")
+    git_commit = (
+        args.git_commit or subprocess.check_output([git_executable, "rev-parse", "HEAD"], text=True).strip()
+    )
     pr_number = int(args.pr_number) if str(args.pr_number).strip() else None
 
     for policy_name in selected:
@@ -277,13 +315,16 @@ def main() -> int:
         row_path.write_text(json.dumps(row, indent=2, sort_keys=True))
 
         if args.publish:
-            uploaded_paths = upload_profile_run(
+            upload_result = upload_profile_run(
                 repo_id=repo_id,
                 row_path=row_path,
                 row_path_in_repo=row_path_in_repo,
                 artifact_targets=artifact_targets,
+                create_pr=pr_number is not None,
             )
-            row["uploaded_paths"] = uploaded_paths
+            row["uploaded_paths"] = upload_result.uploaded_paths
+            row["publish_pr_url"] = upload_result.pr_url
+            row["publish_pr_number"] = parse_discussion_num(upload_result.pr_url)
             row_path.write_text(json.dumps(row, indent=2, sort_keys=True))
 
         print(json.dumps(row, indent=2, sort_keys=True))

tests/scripts/test_model_profiling.py

@@ -110,6 +110,43 @@ def test_build_artifact_index_collects_cprofile_tables_and_traces(tmp_path):
     assert len(targets) == 7
 
 
+def test_upload_targets_batches_preview_publish_into_single_hf_pr(monkeypatch, tmp_path):
+    module = _import_model_profiling_script()
+    local_path = tmp_path / "profiling_row.json"
+    local_path.write_text("{}")
+    captured: dict[str, object] = {}
+
+    class _FakeCommit:
+        pr_url = "https://huggingface.co/datasets/lerobot/model-profiling-history/discussions/42"
+
+    class _FakeApi:
+        def __init__(self, token=None):
+            captured["token"] = token
+
+        def create_commit(self, **kwargs):
+            captured.update(kwargs)
+            return _FakeCommit()
+
+    monkeypatch.setattr(module, "HfApi", _FakeApi)
+
+    result = module.upload_targets(
+        repo_id="lerobot/model-profiling-history",
+        targets=[module.UploadTarget(local_path=local_path, path_in_repo="rows/act/run.json")],
+        create_pr=True,
+        token="hf_test_token",
+    )
+
+    assert captured["repo_id"] == "lerobot/model-profiling-history"
+    assert captured["repo_type"] == "dataset"
+    assert captured["revision"] == "main"
+    assert captured["create_pr"] is True
+    operations = captured["operations"]
+    assert len(operations) == 1
+    assert operations[0].path_in_repo == "rows/act/run.json"
+    assert result.pr_url == _FakeCommit.pr_url
+    assert result.uploaded_paths["rows/act/run.json"].endswith("/resolve/refs/pr/42/rows/act/run.json")
+
+
 def test_model_profiling_main_smoke_writes_row(monkeypatch, tmp_path):
     module = _import_model_profiling_script()
 
@@ -192,6 +229,20 @@ def test_model_profiling_main_smoke_writes_row(monkeypatch, tmp_path):
     assert "policy_setup" in row["artifact_paths"]["cprofile_summaries"]
 
 
+def test_parse_discussion_num_handles_hf_discussion_urls():
+    module = _import_model_profiling_script()
+
+    assert (
+        module.parse_discussion_num(
+            "https://huggingface.co/datasets/lerobot/model-profiling-history/discussions/42"
+        )
+        == 42
+    )
+    assert (
+        module.parse_discussion_num("https://huggingface.co/datasets/lerobot/model-profiling-history") is None
+    )
+
+
 def test_deterministic_forward_artifacts_preserve_policy_mode(tmp_path):
     from lerobot.utils.profiling_utils import write_deterministic_forward_artifacts