add skill activity stream and job runtime foundation (v1.1.0)

Introduce SAS v1 emit/finish/journal API, sibling CLI bridge, RPA video session integration, and tests for the host Job Runner activity timeline.

Co-authored-by: Cursor <cursoragent@cursor.com>

tests/test_video_session_activity_integration.py

@@ -0,0 +1,113 @@
+# -*- coding: utf-8 -*-
+"""RpaVideoSession.add_step integrates with activity.emit."""
+from __future__ import annotations
+
+import json
+import os
+import shutil
+import tempfile
+import unittest
+from pathlib import Path
+
+from jiangchang_skill_core import activity, config
+from jiangchang_skill_core.rpa.video_session import RpaVideoSession
+from jiangchang_skill_core.runtime_env import get_runs_dir
+
+
+class TestVideoSessionActivityIntegration(unittest.TestCase):
+    def setUp(self) -> None:
+        config.reset_cache()
+        self._saved_root = os.environ.get("JIANGCHANG_DATA_ROOT")
+        self._saved_job = os.environ.get("JIANGCHANG_JOB_ID")
+        self._saved_video = os.environ.get("OPENCLAW_RECORD_VIDEO")
+        self._tmps: list[str] = []
+        activity._reset_for_tests()
+
+    def tearDown(self) -> None:
+        activity._reset_for_tests()
+        if self._saved_root is None:
+            os.environ.pop("JIANGCHANG_DATA_ROOT", None)
+        else:
+            os.environ["JIANGCHANG_DATA_ROOT"] = self._saved_root
+        if self._saved_job is None:
+            os.environ.pop("JIANGCHANG_JOB_ID", None)
+        else:
+            os.environ["JIANGCHANG_JOB_ID"] = self._saved_job
+        if self._saved_video is None:
+            os.environ.pop("OPENCLAW_RECORD_VIDEO", None)
+        else:
+            os.environ["OPENCLAW_RECORD_VIDEO"] = self._saved_video
+        config.reset_cache()
+        for tmp in self._tmps:
+            shutil.rmtree(tmp, ignore_errors=True)
+
+    def _tmp_data_root(self) -> str:
+        tmp = tempfile.mkdtemp()
+        self._tmps.append(tmp)
+        return tmp
+
+    def test_add_step_emits_activity_when_disabled(self) -> None:
+        os.environ.pop("OPENCLAW_RECORD_VIDEO", None)
+        tmp = self._tmp_data_root()
+        os.environ["JIANGCHANG_DATA_ROOT"] = tmp
+        os.environ["JIANGCHANG_JOB_ID"] = "video-act-1"
+        activity._reset_for_tests()
+        config.reset_cache()
+
+        session = RpaVideoSession(
+            skill_slug="publish-toutiao",
+            skill_data_dir=tmp,
+            batch_id="batch1",
+        )
+        self.assertFalse(session.enabled)
+        session.add_step("打开浏览器")
+
+        journal = Path(get_runs_dir()) / "video-act-1.jsonl"
+        self.assertTrue(journal.is_file())
+        content = journal.read_text(encoding="utf-8")
+        self.assertIn("打开浏览器", content)
+        self.assertIn("rpa.video", content)
+        self.assertIn("publish-toutiao", content)
+
+    def test_emit_activity_false_skips_journal(self) -> None:
+        os.environ.pop("OPENCLAW_RECORD_VIDEO", None)
+        tmp = self._tmp_data_root()
+        os.environ["JIANGCHANG_DATA_ROOT"] = tmp
+        os.environ["JIANGCHANG_JOB_ID"] = "video-act-off"
+        activity._reset_for_tests()
+
+        session = RpaVideoSession(
+            skill_slug="publish-toutiao",
+            skill_data_dir=tmp,
+            batch_id="batch2",
+            emit_activity=False,
+        )
+        session.add_step("不应写入")
+        journal = Path(get_runs_dir()) / "video-act-off.jsonl"
+        self.assertFalse(journal.exists())
+
+    def test_add_step_writes_both_journal_and_subtitle_steps(self) -> None:
+        os.environ["OPENCLAW_RECORD_VIDEO"] = "1"
+        tmp = self._tmp_data_root()
+        os.environ["JIANGCHANG_DATA_ROOT"] = tmp
+        os.environ["JIANGCHANG_JOB_ID"] = "video-act-both"
+        activity._reset_for_tests()
+        config.reset_cache()
+
+        session = RpaVideoSession(
+            skill_slug="receive-order",
+            skill_data_dir=tmp,
+            batch_id="batch3",
+        )
+        session.add_step("录制步骤")
+        self.assertEqual(len(session._steps), 1)
+
+        journal = Path(get_runs_dir()) / "video-act-both.jsonl"
+        lines = [json.loads(ln) for ln in journal.read_text(encoding="utf-8").splitlines()]
+        activity_events = [e for e in lines if e.get("type") == "activity"]
+        self.assertEqual(len(activity_events), 1)
+        self.assertEqual(activity_events[0]["text"], "录制步骤")
+
+
+if __name__ == "__main__":
+    unittest.main()