Добавить MVP workflow запуска сценария поиска первоисточника.

Подключает stub-инструменты и последовательный Agno workflow в CLI и AgentOS, чтобы запускать сценарий по URL и получать структурированный JSON-результат.

src/stub_tools.py

@@ -0,0 +1,96 @@
+from __future__ import annotations
+
+from datetime import datetime, timezone
+from typing import Any
+
+
+def _utc_now_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def _base_result(tool_name: str, ok: bool, payload: dict[str, Any]) -> dict[str, Any]:
+    return {
+        "tool_name": tool_name,
+        "ok": ok,
+        "payload": payload,
+        "received_at": _utc_now_iso(),
+    }
+
+
+async def stub_search_news_sources(url: str) -> dict[str, Any]:
+    return _base_result(
+        tool_name="search_news_sources",
+        ok=True,
+        payload={
+            "input_url": url,
+            "items": [
+                {"url": "https://news-a.example/article-1"},
+                {"url": "https://news-b.example/article-2"},
+                {"url": "https://news-c.example/article-3"},
+            ],
+        },
+    )
+
+
+async def stub_parse_article(url: str) -> dict[str, Any]:
+    return _base_result(
+        tool_name="parse_article",
+        ok=True,
+        payload={
+            "url": url,
+            "title": "Stub article title",
+            "published_at": "2026-01-01T10:00:00+00:00",
+            "text": "Stub parsed article content.",
+        },
+    )
+
+
+async def stub_extract_publication_date(article_text: str) -> dict[str, Any]:
+    return _base_result(
+        tool_name="extract_publication_date",
+        ok=True,
+        payload={
+            "text_size": len(article_text),
+            "published_at": "2026-01-01T10:00:00+00:00",
+            "confidence": 0.77,
+        },
+    )
+
+
+async def stub_rank_sources_by_date(items: list[dict[str, Any]]) -> dict[str, Any]:
+    ranked = sorted(items, key=lambda item: str(item.get("published_at", "")))
+    return _base_result(
+        tool_name="rank_sources_by_date",
+        ok=True,
+        payload={
+            "input_count": len(items),
+            "ranked_items": ranked,
+        },
+    )
+
+
+async def stub_generate_summary(items: list[dict[str, Any]]) -> dict[str, Any]:
+    first_url = ""
+    if items:
+        first_url = str(items[0].get("url", ""))
+
+    return _base_result(
+        tool_name="generate_summary",
+        ok=True,
+        payload={
+            "input_count": len(items),
+            "summary": (
+                "По заглушечным данным самым ранним источником считается "
+                + first_url
+            ),
+        },
+    )
+
+
+STUB_TOOLS: dict[str, Any] = {
+    "search_news_sources": stub_search_news_sources,
+    "parse_article": stub_parse_article,
+    "extract_publication_date": stub_extract_publication_date,
+    "rank_sources_by_date": stub_rank_sources_by_date,
+    "generate_summary": stub_generate_summary,
+}