Унифицировать ответ /api/runs и добавить статусы шагов workflow.

Введен единый JSON-контракт для success/failed с общими полями, добавлен трекинг step status (queued/running/success/failed) и output_summary, а сборка run-ответа централизована через общий helper.

README.md

@@ -26,7 +26,6 @@ prisma_platform/
     ├── api_routes.py
     ├── agent_os.py
     ├── agent_runner.py
-    ├── main.py
     ├── observability.py
     ├── scenario_store.py
     ├── schemas.py
@@ -87,7 +86,73 @@ curl -X POST "http://127.0.0.1:7777/api/runs" \
   }'
 ```
 
-Endpoint возвращает структурированный ответ со статусом `success` или `failed`.
+Endpoint возвращает единый JSON-контракт. Поля одинаковые для `success` и `failed`,
+а в неактуальных полях приходит `null`.
+
+Пример успешного ответа:
+
+```json
+{
+  "scenario_id": "news_source_discovery_v1",
+  "status": "success",
+  "input": {
+    "url": "https://example.com/news"
+  },
+  "steps": [
+    {
+      "node_id": "search_news_sources",
+      "status": "success",
+      "started_at": "2026-04-22T10:00:00+00:00",
+      "finished_at": "2026-04-22T10:00:00+00:00",
+      "error": null
+    }
+  ],
+  "output_summary": "По заглушечным данным самым ранним источником считается https://news-a.example/article-1",
+  "workflow_name": "news_source_discovery_v1",
+  "scenario_name": "News Source Discovery V1",
+  "result": {
+    "tool_name": "generate_summary",
+    "ok": true,
+    "payload": {
+      "input_count": 3,
+      "summary": "По заглушечным данным самым ранним источником считается https://news-a.example/article-1"
+    },
+    "received_at": "2026-04-22T10:00:00+00:00"
+  },
+  "error": null,
+  "run_id": "run_xxx",
+  "session_id": "session_xxx"
+}
+```
+
+Пример ответа с ошибкой валидации:
+
+```json
+{
+  "scenario_id": "news_source_discovery_v1",
+  "status": "failed",
+  "input": {},
+  "steps": [
+    {
+      "node_id": "search_news_sources",
+      "status": "queued",
+      "started_at": null,
+      "finished_at": null,
+      "error": null
+    }
+  ],
+  "output_summary": null,
+  "workflow_name": null,
+  "scenario_name": "News Source Discovery V1",
+  "result": null,
+  "error": {
+    "code": "invalid_input",
+    "message": "Input does not match scenario input_schema: ..."
+  },
+  "run_id": null,
+  "session_id": null
+}
+```
 
 Проверка, что сервер поднят:
 

src/api_routes.py

@@ -1,11 +1,9 @@
 from fastapi import APIRouter
-from pydantic import TypeAdapter
 
 from src.schemas import ScenarioRunRequest, ScenarioRunResponse
 from src.workflow_runner import run_scenario_workflow
 
 router = APIRouter(prefix="/api", tags=["workflow"])
-_run_response_adapter = TypeAdapter(ScenarioRunResponse)
 
 
 @router.post("/runs", response_model=ScenarioRunResponse)
@@ -14,4 +12,4 @@ async def run_scenario(request: ScenarioRunRequest) -> ScenarioRunResponse:
         input_data=request.input,
         scenario_id=request.scenario_id,
     )
-    return _run_response_adapter.validate_python(result)
+    return ScenarioRunResponse.model_validate(result)

src/schemas.py

@@ -4,6 +4,9 @@ from typing import Any, Literal
 
 from pydantic import BaseModel, Field
 
+RunStatus = Literal["queued", "running", "success", "failed", "waiting_human"]
+StepStatus = Literal["queued", "running", "success", "failed", "waiting_human"]
+
 
 class RunError(BaseModel):
     code: str
@@ -15,25 +18,23 @@ class ScenarioRunRequest(BaseModel):
     input: dict[str, Any] = Field(default_factory=dict)
 
 
-class ScenarioRunBase(BaseModel):
+class StepState(BaseModel):
+    node_id: str
+    status: StepStatus
+    started_at: str | None = None
+    finished_at: str | None = None
+    error: RunError | None = None
+
+
+class ScenarioRunResponse(BaseModel):
     scenario_id: str
-    status: Literal["success", "failed"]
+    status: RunStatus
     input: dict[str, Any]
-
+    steps: list[StepState] = Field(default_factory=list)
-
+    output_summary: str | None = None
-class ScenarioRunFailed(ScenarioRunBase):
-    status: Literal["failed"] = "failed"
     scenario_name: str | None = None
-    error: RunError
+    workflow_name: str | None = None
-
+    result: dict[str, Any] | None = None
-
+    error: RunError | None = None
-class ScenarioRunSuccess(ScenarioRunBase):
-    status: Literal["success"] = "success"
-    workflow_name: str
-    scenario_name: str
-    result: dict[str, Any]
     run_id: str | None = None
     session_id: str | None = None
-
-
-ScenarioRunResponse = ScenarioRunSuccess | ScenarioRunFailed

src/workflow_runner.py

@@ -1,12 +1,14 @@
 from __future__ import annotations
 
+from contextvars import ContextVar
+from datetime import datetime, timezone
 import json
 from typing import Any
 
 from agno.workflow.step import Step, StepInput, StepOutput
 from agno.workflow.workflow import Workflow
 from pydantic import BaseModel, ValidationError, create_model
-from src.schemas import RunError, ScenarioRunFailed, ScenarioRunSuccess
+from src.schemas import RunError, RunStatus, ScenarioRunResponse, StepState
 from src.scenario_store import ScenarioStoreError, load_scenario_definition
 from src.stub_tools import (
     stub_extract_publication_date,
@@ -18,6 +20,10 @@ from src.stub_tools import (
 
 _workflow_cache: dict[str, Workflow] = {}
 _workflow_input_schemas: dict[str, type[BaseModel]] = {}
+_run_steps_context: ContextVar[list[StepState] | None] = ContextVar(
+    "run_steps_context",
+    default=None,
+)
 
 
 def _json_loads(raw: str | None) -> dict[str, Any]:
@@ -36,6 +42,106 @@ def _as_json_step_output(payload: dict[str, Any]) -> StepOutput:
     return StepOutput(content=json.dumps(payload, ensure_ascii=False))
 
 
+def _utc_now_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def _initialize_step_states(scenario: dict[str, Any]) -> list[StepState]:
+    raw_steps = scenario.get("steps")
+    if not isinstance(raw_steps, list):
+        return []
+
+    step_states: list[StepState] = []
+    for raw_step in raw_steps:
+        if not isinstance(raw_step, dict):
+            continue
+        node_id = str(raw_step.get("name", "")).strip()
+        if not node_id:
+            continue
+        step_states.append(StepState(node_id=node_id, status="queued"))
+    return step_states
+
+
+def _update_step_state(
+    node_id: str,
+    status: str,
+    error: RunError | None = None,
+) -> None:
+    step_states = _run_steps_context.get()
+    if not step_states:
+        return
+
+    for step_state in step_states:
+        if step_state.node_id != node_id:
+            continue
+        step_state.status = status
+        if status == "running" and step_state.started_at is None:
+            step_state.started_at = _utc_now_iso()
+        if status in {"success", "failed", "waiting_human"}:
+            if step_state.started_at is None:
+                step_state.started_at = _utc_now_iso()
+            step_state.finished_at = _utc_now_iso()
+            step_state.error = error
+        return
+
+
+def _mark_running_steps_failed(message: str) -> None:
+    step_states = _run_steps_context.get()
+    if not step_states:
+        return
+
+    for step_state in step_states:
+        if step_state.status == "running":
+            step_state.status = "failed"
+            if step_state.started_at is None:
+                step_state.started_at = _utc_now_iso()
+            step_state.finished_at = _utc_now_iso()
+            step_state.error = RunError(code="workflow_error", message=message)
+
+
+def _extract_output_summary(content: Any) -> str | None:
+    if not isinstance(content, dict):
+        return None
+    summary = content.get("summary")
+    if isinstance(summary, str) and summary:
+        return summary
+    payload = content.get("payload")
+    if isinstance(payload, dict):
+        payload_summary = payload.get("summary")
+        if isinstance(payload_summary, str) and payload_summary:
+            return payload_summary
+    return None
+
+
+def _build_run_response(
+    *,
+    scenario_id: str,
+    input_data: dict[str, Any],
+    status: RunStatus,
+    steps: list[StepState],
+    scenario_name: str | None = None,
+    workflow_name: str | None = None,
+    output_summary: str | None = None,
+    result: dict[str, Any] | None = None,
+    error: RunError | None = None,
+    run_id: str | None = None,
+    session_id: str | None = None,
+) -> dict[str, Any]:
+    return ScenarioRunResponse(
+        scenario_id=scenario_id,
+        status=status,
+        input=input_data,
+        steps=steps,
+        output_summary=output_summary,
+        scenario_name=scenario_name,
+        workflow_name=workflow_name,
+        result=result,
+        error=error,
+        run_id=run_id,
+        session_id=session_id,
+    ).model_dump()
+
+
 def _extract_input_url(step_input_value: Any) -> str:
     if isinstance(step_input_value, dict):
         return str(step_input_value.get("url", "")).strip()
@@ -70,14 +176,22 @@ def _build_input_schema_model(scenario: dict[str, Any]) -> type[BaseModel] | Non
 
 
 async def _search_news_sources_executor(step_input: StepInput) -> StepOutput:
+    _update_step_state("search_news_sources", "running")
     input_url = _extract_input_url(step_input.input)
     if not input_url:
+        _update_step_state(
+            "search_news_sources",
+            "failed",
+            error=RunError(code="invalid_input", message="input.url is empty"),
+        )
         return StepOutput(content="search_news_sources failed: input.url is empty", success=False)
     search_result = await stub_search_news_sources(url=input_url)
+    _update_step_state("search_news_sources", "success")
     return _as_json_step_output(search_result)
 
 
 async def _parse_article_executor(step_input: StepInput) -> StepOutput:
+    _update_step_state("parse_articles_batch", "running")
     previous_payload = _json_loads(step_input.previous_step_content)
     items = previous_payload.get("payload", {}).get("items", [])
 
@@ -86,9 +200,15 @@ async def _parse_article_executor(step_input: StepInput) -> StepOutput:
         source_url = str(item.get("url", ""))
         parsed_result = await stub_parse_article(url=source_url)
         if not parsed_result.get("ok", False):
+            _update_step_state(
+                "parse_articles_batch",
+                "failed",
+                error=RunError(code="tool_error", message="parse_article failed"),
+            )
             return StepOutput(content="parse_article failed", success=False)
         parsed_items.append(parsed_result.get("payload", {}))
 
+    _update_step_state("parse_articles_batch", "success")
     return _as_json_step_output(
         {
             "tool_name": "parse_articles_batch",
@@ -99,6 +219,7 @@ async def _parse_article_executor(step_input: StepInput) -> StepOutput:
 
 
 async def _extract_publication_date_executor(step_input: StepInput) -> StepOutput:
+    _update_step_state("extract_publication_date_batch", "running")
     previous_payload = _json_loads(step_input.previous_step_content)
     parsed_items = previous_payload.get("payload", {}).get("items", [])
 
@@ -107,6 +228,11 @@ async def _extract_publication_date_executor(step_input: StepInput) -> StepOutpu
         article_text = str(item.get("text", ""))
         extract_result = await stub_extract_publication_date(article_text=article_text)
         if not extract_result.get("ok", False):
+            _update_step_state(
+                "extract_publication_date_batch",
+                "failed",
+                error=RunError(code="tool_error", message="extract_publication_date failed"),
+            )
             return StepOutput(content="extract_publication_date failed", success=False)
 
         dated_items.append(
@@ -119,6 +245,7 @@ async def _extract_publication_date_executor(step_input: StepInput) -> StepOutpu
             }
         )
 
+    _update_step_state("extract_publication_date_batch", "success")
     return _as_json_step_output(
         {
             "tool_name": "extract_publication_date_batch",
@@ -129,16 +256,20 @@ async def _extract_publication_date_executor(step_input: StepInput) -> StepOutpu
 
 
 async def _rank_sources_by_date_executor(step_input: StepInput) -> StepOutput:
+    _update_step_state("rank_sources_by_date", "running")
     previous_payload = _json_loads(step_input.previous_step_content)
     items = previous_payload.get("payload", {}).get("items", [])
     rank_result = await stub_rank_sources_by_date(items=items)
+    _update_step_state("rank_sources_by_date", "success")
     return _as_json_step_output(rank_result)
 
 
 async def _generate_summary_executor(step_input: StepInput) -> StepOutput:
+    _update_step_state("generate_summary", "running")
     previous_payload = _json_loads(step_input.previous_step_content)
     ranked_items = previous_payload.get("payload", {}).get("ranked_items", [])
     summary_result = await stub_generate_summary(items=ranked_items)
+    _update_step_state("generate_summary", "success")
     return _as_json_step_output(summary_result)
 
 
@@ -198,29 +329,49 @@ async def run_scenario_workflow(
     try:
         scenario = load_scenario_definition(scenario_id)
     except ScenarioStoreError as exc:
-        return ScenarioRunFailed(
+        return _build_run_response(
             scenario_id=scenario_id,
-            input=input_data,
+            input_data=input_data,
+            status="failed",
+            steps=[],
             error=RunError(code="unknown_scenario", message=str(exc)),
-        ).model_dump()
+        )
 
+    step_states = _initialize_step_states(scenario)
+    scenario_name = str(scenario.get("name", scenario_id))
     workflow = get_workflow_for_scenario(scenario_id=scenario_id, scenario=scenario)
     input_schema_model = _workflow_input_schemas.get(scenario_id)
     if input_schema_model is not None:
         try:
             input_schema_model.model_validate(input_data)
         except ValidationError as exc:
-            return ScenarioRunFailed(
+            return _build_run_response(
                 scenario_id=scenario_id,
-                scenario_name=str(scenario.get("name", scenario_id)),
+                input_data=input_data,
-                input=input_data,
+                status="failed",
+                scenario_name=scenario_name,
+                steps=step_states,
                 error=RunError(
                     code="invalid_input",
                     message=f"Input does not match scenario input_schema: {exc}",
                 ),
-            ).model_dump()
+            )
 
+    context_token = _run_steps_context.set(step_states)
+    try:
         run_output = await workflow.arun(input=input_data)
+    except Exception as exc:
+        _mark_running_steps_failed(str(exc))
+        return _build_run_response(
+            scenario_id=scenario_id,
+            input_data=input_data,
+            status="failed",
+            scenario_name=scenario_name,
+            steps=step_states,
+            error=RunError(code="workflow_error", message=str(exc)),
+        )
+    finally:
+        _run_steps_context.reset(context_token)
 
     content: Any = run_output.content if hasattr(run_output, "content") else {}
     if isinstance(content, str):
@@ -228,6 +379,23 @@ async def run_scenario_workflow(
             content = json.loads(content)
         except json.JSONDecodeError:
             content = {"raw_content": content}
+    output_summary = _extract_output_summary(content)
+    normalized_result = content if isinstance(content, dict) else {"raw_content": str(content)}
+
+    if hasattr(run_output, "success") and not bool(getattr(run_output, "success")):
+        return _build_run_response(
+            scenario_id=scenario_id,
+            input_data=input_data,
+            status="failed",
+            scenario_name=scenario_name,
+            steps=step_states,
+            output_summary=output_summary,
+            result=normalized_result,
+            error=RunError(
+                code="workflow_failed",
+                message="Workflow finished with failed status.",
+            ),
+        )
 
     run_id: str | None = None
     session_id: str | None = None
@@ -236,12 +404,15 @@ async def run_scenario_workflow(
     if hasattr(run_output, "session_id"):
         session_id = str(getattr(run_output, "session_id"))
 
-    return ScenarioRunSuccess(
+    return _build_run_response(
         scenario_id=scenario_id,
+        input_data=input_data,
+        status="success",
         workflow_name=workflow.name,
-        scenario_name=str(scenario.get("name", scenario_id)),
+        scenario_name=scenario_name,
-        input=input_data,
+        steps=step_states,
-        result=content if isinstance(content, dict) else {"raw_content": str(content)},
+        output_summary=output_summary,
+        result=normalized_result,
         run_id=run_id,
         session_id=session_id,
-    ).model_dump(exclude_none=True)
+    )