Merge pull request 'feat: add detailed employee publications storage and MCP docs' (#27) from feature/employee-publications-db into main

Reviewed-on: #27

MCP_DESCRIPTION.md

@@ -171,6 +171,7 @@ MCP читает данные из основной базы через SQLAlche
 Основные таблицы и модели:
 
 - `employees`: текущая карточка сотрудника, статус, профиль, `current_data`, checksum.
+- `employee_publications`: нормализованные публикации сотрудников с авторами, DOI, аннотацией, описанием, citation text и raw JSON из HSE Publications.
 - `crawl_runs`: история запусков парсинга.
 - `crawl_run_employee_changes`: детальные изменения сотрудников в рамках запуска.
 - `crawl_errors`: ошибки парсинга в рамках запуска.
@@ -387,7 +388,7 @@ Hash набора считается по отсортированному сп
 
 ### list_employee_publications
 
-Назначение: вернуть публикации сотрудника из распарсенных секций профиля.
+Назначение: вернуть публикации сотрудника. Если есть нормализованные строки в `employee_publications`, tool возвращает детальные публикационные данные: авторов, DOI, аннотацию, описание, citation text, год, тип, язык, статус и ссылки. Если детальная таблица еще не заполнена, tool использует старый fallback из `employees.current_data.sections[].publications`.
 
 Аргументы:
 
@@ -397,24 +398,70 @@ Hash набора считается по отсортированному сп
 }
 ```
 
-Сервис ищет секции `current_data.sections` с `type = "publications"` и объединяет массивы `publications`.
+Поиск сотрудника выполняется так же, как в `get_employee`: по `profile_key`, `profile_id`, точному или частичному `canonical_url`.
+
+Порядок источников:
+
+- сначала `employee_publications`, отсортированные по году, названию и внутреннему id;
+- если записей нет, секции `current_data.sections` с `type = "publications"` и массивами `publications`.
 
 Ответ:
 
 ```json
 {
-  "employee": {},
+  "employee": {
+    "profile_key": "org_person:803294906",
+    "profile_id": "803294906",
+    "full_name": "Борисов Сергей Петрович",
+    "status": "active",
+    "canonical_url": "https://www.hse.ru/org/persons/803294906",
+    "last_seen_at": "2026-05-14T10:00:00+00:00",
+    "dismissed_at": null
+  },
   "items": [
     {
+      "id": "888959076",
+      "publication_id": "888959076",
       "title": "Название публикации",
-      "text": "Полное описание",
+      "text": "Краткое описание или citation",
-      "url": "https://..."
+      "url": "https://publications.hse.ru/view/888959076",
+      "year": 2023,
+      "type": "ARTICLE",
+      "publication_type": "ARTICLE",
+      "language": "ru",
+      "status": 1,
+      "doi_url": "https://doi.org/10.53921/18195822_2023_23_4_624",
+      "other_url": "https://example.test",
+      "document_url": "https://example.test/file.pdf",
+      "citation_text": "Авторы. Название публикации // Журнал. 2023.",
+      "annotation": {
+        "ru": "Аннотация",
+        "en": "Abstract"
+      },
+      "description": {
+        "main": "Авторы. Название публикации // Журнал. 2023."
+      },
+      "authors": [
+        {
+          "id": "803294906",
+          "href": "https://www.hse.ru/org/persons/803294906",
+          "title_ru": "Борисов С. П.",
+          "title_en": "",
+          "reverse_title_ru": "С. П. Борисов",
+          "reverse_title_en": "",
+          "alt_name": "S. P. Borisov",
+          "other_name": null,
+          "is_current_employee": true
+        }
+      ]
     }
   ]
 }
 ```
 
-Если сотрудник или данные профиля отсутствуют:
+В fallback-режиме из `current_data` старые элементы могут содержать только базовые поля `title`, `text`, `url` и `id`.
+
+Если сотрудник не найден:
 
 ```json
 {
@@ -422,6 +469,15 @@ Hash набора считается по отсортированному сп
 }
 ```
 
+Если сотрудник найден, но публикаций нет:
+
+```json
+{
+  "employee": {},
+  "items": []
+}
+```
+
 ### list_employee_courses
 
 Назначение: вернуть курсы преподавания сотрудника из распарсенных секций профиля.

README.md

@@ -9,7 +9,7 @@
 - `mcp`: открытый HTTP MCP endpoint для ИИ-агентов.
 - `postgres`: основная БД.
 
-Парсер использует фиксированный источник сотрудников, по умолчанию `https://miem.hse.ru/persons`. Для каждой карточки сохраняются ФИО, должности, год начала работы, контакты, идентификаторы, вкладки профиля, секции, публикации, курсы, ВКР, JSON-снапшот и сжатый HTML-снапшот. Ссылки обходятся только из меню профиля самого сотрудника (`person-menu`), например `#sci`, `#teaching`, `#main`.
+Парсер использует фиксированный источник сотрудников, по умолчанию `https://miem.hse.ru/persons`. Для каждой карточки сохраняются ФИО, должности, год начала работы, контакты, идентификаторы, вкладки профиля, секции, публикации, курсы, ВКР, JSON-снапшот и сжатый HTML-снапшот. Детальные публикации дополнительно нормализуются в отдельную таблицу `employee_publications`. Ссылки обходятся только из меню профиля самого сотрудника (`person-menu`), например `#sci`, `#teaching`, `#main`.
 
 ## Переменные окружения
 
@@ -60,6 +60,19 @@ docker compose up --build
 
 Таблицы создаются приложением при старте. При обновлении существующей базы приложение также добавляет недостающие runtime-колонки, например `crawl_runs.skipped_count`. SQL-миграции для ручного применения лежат в `migrations/`.
 
+## Наполнение БД
+
+Основная карточка сотрудника хранится в `employees`: профиль, статус, даты обнаружения/увольнения, текущий JSON `current_data`, checksum и версия парсера. История успешных изменений сохраняется в `employee_snapshots` вместе с JSON-снимком и сжатым HTML профиля.
+
+Публикации теперь хранятся в двух видах:
+
+- краткий список остается внутри `employees.current_data.sections[].publications` для обратной совместимости;
+- детальные записи сохраняются в `employee_publications` и связываются с сотрудником через `employee_id`.
+
+`employee_publications` содержит `publication_id`, название, год, тип публикации, язык, статус, ссылку на карточку HSE Publications, DOI, внешние/document-ссылки, citation text, аннотацию, описание, авторов, raw JSON ответа `searchPubs` и `source_hash` для безопасного повторного upsert. Уникальность поддерживается по `(employee_id, publication_id)` и `(employee_id, source_hash)`, поэтому повторный crawl не должен создавать дубликаты.
+
+`list_employee_publications` сначала читает `employee_publications`; если детальных строк еще нет, возвращает старые публикации из `current_data`.
+
 ## Парсинг
 
 Weekly worker запускается по `CRAWL_CRON`. Ручной запуск доступен в админке на `Dashboard` и странице `Runs` или через REST:
@@ -73,6 +86,7 @@ curl -X POST http://localhost:8000/api/crawl-runs --cookie "miem_admin_session=.
 - найденные сотрудники получают статус `active` и обновленный `last_seen_at`;
 - новые сотрудники добавляются в `employees`;
 - количество новых сотрудников за запуск сохраняется в `crawl_runs.new_count`;
+- публикации из HSE Publications записываются в `employee_publications`, а краткий список остается в JSON профиля;
 - активные сотрудники, исчезнувшие из текущего списка источника, получают статус `dismissed` и `dismissed_at`;
 - каждый успешный новый или измененный разбор сохраняет запись в `employee_snapshots`;
 - неизмененные профили учитываются в `crawl_runs.skipped_count` и не получают новый snapshot.
@@ -89,7 +103,7 @@ Endpoint: `POST /mcp`, без авторизации на уровне прил
 - `sync_employees(client_hash?, include_data?)`
 - `search_employees(query, status?, limit?)`
 - `get_employee(profile_id_or_url)`
-- `list_employee_publications(profile_id_or_url)`
+- `list_employee_publications(profile_id_or_url)` — публикации сотрудника; при наличии данных из `employee_publications` возвращает авторов, DOI, аннотацию, описание, citation text, год, тип, язык, статус и ссылку HSE Publications.
 - `list_employee_courses(profile_id_or_url)`
 - `get_crawl_status()`
 - `get_crawl_run_details(run_id)`
@@ -115,4 +129,4 @@ docker compose exec postgres pg_dump -U miem miem_workers > backup.sql
 docker compose down
 ```
 
-Версия сервиса: `0.6.1`. Админка всегда показывает версии backend и frontend в footer.
+Версия сервиса: `0.6.2`. Админка всегда показывает версии backend и frontend в footer.

app/db.py

@@ -29,8 +29,15 @@ def init_db() -> None:
 
 
 def _ensure_runtime_schema() -> None:
+    import app.models as models
+
     inspector = inspect(engine)
-    if "crawl_runs" not in inspector.get_table_names():
+    table_names = set(inspector.get_table_names())
+    if "employees" in table_names and "employee_publications" not in table_names:
+        models.EmployeePublication.__table__.create(bind=engine, checkfirst=True)
+        inspector = inspect(engine)
+        table_names = set(inspector.get_table_names())
+    if "crawl_runs" not in table_names:
         return
     crawl_run_columns = {column["name"] for column in inspector.get_columns("crawl_runs")}
     if "skipped_count" not in crawl_run_columns:

app/mcp.py

@@ -5,7 +5,7 @@ from sqlalchemy import desc, or_, select
 from sqlalchemy.orm import Session
 
 from app.db import get_db
-from app.models import CrawlRun, Employee
+from app.models import CrawlRun, Employee, EmployeePublication
 from app.services.admin_data import run_detail_payload
 from app.services.dataset_versions import service_info_payload, sync_employees_payload
 from app.version import BACKEND_VERSION
@@ -52,7 +52,10 @@ TOOLS = [
     },
     {
         "name": "list_employee_publications",
-        "description": "List publications parsed from an employee profile.",
+        "description": (
+            "List employee publications with detailed fields when available: authors, DOI URL, annotation, "
+            "description, citation text, year, publication type, language, status, and HSE Publications URL."
+        ),
         "inputSchema": {"type": "object", "properties": {"profile_id_or_url": {"type": "string"}}, "required": ["profile_id_or_url"]},
     },
     {
@@ -171,8 +174,14 @@ def _find_employee(db: Session, value: str) -> Employee | None:
 
 
 def _collect_section_items(employee: Employee | None, section_type: str) -> dict:
-    if not employee or not employee.current_data:
+    if not employee:
         return {"items": []}
+    if section_type == "publications":
+        publications = _stored_publications(employee)
+        if publications:
+            return {"employee": _employee_payload(employee, include_data=False), "items": publications}
+    if not employee.current_data:
+        return {"employee": _employee_payload(employee, include_data=False), "items": []}
     items = []
     for section in employee.current_data.get("sections") or []:
         if section.get("type") != section_type:
@@ -184,6 +193,41 @@ def _collect_section_items(employee: Employee | None, section_type: str) -> dict
     return {"employee": _employee_payload(employee, include_data=False), "items": items}
 
 
+def _stored_publications(employee: Employee) -> list[dict]:
+    return [_publication_payload(publication) for publication in sorted(employee.publications, key=_publication_sort_key)]
+
+
+def _publication_sort_key(publication: EmployeePublication) -> tuple:
+    return (publication.year or 0, publication.title or "", publication.id)
+
+
+def _publication_payload(publication: EmployeePublication) -> dict:
+    text = publication.citation_text or publication.title
+    payload = {
+        "id": publication.publication_id,
+        "publication_id": publication.publication_id,
+        "title": publication.title,
+        "text": text,
+        "url": publication.url,
+    }
+    optional = {
+        "year": publication.year,
+        "type": publication.publication_type,
+        "publication_type": publication.publication_type,
+        "language": publication.language,
+        "status": publication.status,
+        "doi_url": publication.doi_url,
+        "other_url": publication.other_url,
+        "document_url": publication.document_url,
+        "citation_text": publication.citation_text,
+        "annotation": publication.annotation,
+        "description": publication.description,
+        "authors": publication.authors,
+    }
+    payload.update({key: value for key, value in optional.items() if value not in (None, [], {})})
+    return payload
+
+
 def _employee_payload(employee: Employee, include_data: bool = True) -> dict:
     payload = {
         "profile_key": employee.profile_key,

app/models.py

@@ -41,6 +41,7 @@ class Employee(Base):
 
     snapshots: Mapped[list["EmployeeSnapshot"]] = relationship(back_populates="employee")
     tabs: Mapped[list["ProfileTab"]] = relationship(back_populates="employee", cascade="all, delete-orphan")
+    publications: Mapped[list["EmployeePublication"]] = relationship(back_populates="employee", cascade="all, delete-orphan")
     crawl_run_changes: Mapped[list["CrawlRunEmployeeChange"]] = relationship(back_populates="employee")
 
 
@@ -60,6 +61,42 @@ class EmployeeSnapshot(Base):
     employee: Mapped[Employee] = relationship(back_populates="snapshots")
 
 
+class EmployeePublication(Base):
+    __tablename__ = "employee_publications"
+    __table_args__ = (
+        UniqueConstraint("employee_id", "publication_id", name="uq_employee_publications_employee_publication"),
+        UniqueConstraint("employee_id", "source_hash", name="uq_employee_publications_employee_source_hash"),
+        Index("ix_employee_publications_employee_id", "employee_id"),
+        Index("ix_employee_publications_publication_id", "publication_id"),
+        Index("ix_employee_publications_doi_url", "doi_url"),
+        Index("ix_employee_publications_year", "year"),
+        Index("ix_employee_publications_publication_type", "publication_type"),
+    )
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True)
+    employee_id: Mapped[int] = mapped_column(ForeignKey("employees.id", ondelete="CASCADE"), nullable=False)
+    publication_id: Mapped[str | None] = mapped_column(String(64))
+    title: Mapped[str] = mapped_column(Text, nullable=False)
+    year: Mapped[int | None] = mapped_column(Integer)
+    publication_type: Mapped[str | None] = mapped_column(String(64))
+    language: Mapped[str | None] = mapped_column(String(16))
+    status: Mapped[int | None] = mapped_column(Integer)
+    url: Mapped[str | None] = mapped_column(Text)
+    doi_url: Mapped[str | None] = mapped_column(Text)
+    other_url: Mapped[str | None] = mapped_column(Text)
+    document_url: Mapped[str | None] = mapped_column(Text)
+    citation_text: Mapped[str | None] = mapped_column(Text)
+    annotation: Mapped[dict | None] = mapped_column(json_type)
+    description: Mapped[dict | None] = mapped_column(json_type)
+    authors: Mapped[list | None] = mapped_column(json_type)
+    raw_data: Mapped[dict | None] = mapped_column(json_type)
+    source_hash: Mapped[str] = mapped_column(String(64), nullable=False)
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, onupdate=utcnow, nullable=False)
+
+    employee: Mapped[Employee] = relationship(back_populates="publications")
+
+
 class CrawlRun(Base):
     __tablename__ = "crawl_runs"
 

app/parser/profile.py

@@ -333,7 +333,7 @@ def _load_widget_publications(
         items = _extract_publication_items(result)
         if not items:
             break
-        publications.extend(_normalize_publication_item(item) for item in items)
+        publications.extend(_normalize_publication_item(item, author_id) for item in items)
 
         total = int(result.get("total") or 0)
         if not result.get("more") and len(publications) >= total:
@@ -575,20 +575,37 @@ def _parse_vkr_items(nodes: list) -> list[str]:
     return [item for item in dict.fromkeys(items) if item]
 
 
-def _normalize_publication_item(item: dict) -> dict:
+def _normalize_publication_item(item: dict, current_author_id: str | None = None) -> dict:
     publication_id = str(item.get("id") or "").strip()
     title = _html_to_text(item.get("title"))
-    year = item.get("year")
+    year = _int_or_none(item.get("year"))
     publication_type = str(item.get("type") or "").strip() or None
     description = item.get("description") if isinstance(item.get("description"), dict) else {}
     short_description = _localized_value(description.get("short")) or _localized_value(description.get("shortLeft"))
+    documents = item.get("documents") if isinstance(item.get("documents"), dict) else {}
+    language = item.get("language") if isinstance(item.get("language"), dict) else {}
+    annotation = _localized_text_map(item.get("annotation"))
+    authors = _normalize_publication_authors(item.get("authorsByType"), current_author_id)
+    citation_text = normalize_ws(str(description.get("main") or "")) or _build_publication_citation(title, authors, year)
     text = normalize_ws(" ".join(part for part in [title, str(year or ""), short_description] if part))
     return {
         "id": publication_id or None,
+        "publication_id": publication_id or None,
         "title": title or publication_id,
         "year": year,
         "type": publication_type,
+        "publication_type": publication_type,
+        "language": normalize_ws(language.get("name")) or None,
+        "status": _int_or_none(item.get("status")),
         "url": f"https://publications.hse.ru/view/{publication_id}" if publication_id else None,
+        "doi_url": _document_href(documents, "DOI"),
+        "other_url": _document_href(documents, "OTHER_URL"),
+        "document_url": _document_href(documents, "DOCUMENT"),
+        "citation_text": citation_text or None,
+        "annotation": annotation,
+        "description": description or None,
+        "authors": authors,
+        "raw_data": item,
         "text": text or title or publication_id,
     }
 
@@ -685,12 +702,69 @@ def _html_to_text(value: object) -> str:
     return normalize_ws(BeautifulSoup(str(value or ""), "html.parser").get_text(" ", strip=True))
 
 
+def _localized_text_map(value: object) -> dict[str, str]:
+    if not isinstance(value, dict):
+        return {}
+    localized = {}
+    for key in ("ru", "en", "publ"):
+        text = _html_to_text(value.get(key))
+        if text:
+            localized[key] = text
+    return localized
+
+
 def _localized_value(value: object) -> str:
     if isinstance(value, dict):
         return normalize_ws(value.get("ru") or value.get("publ") or value.get("en"))
     return normalize_ws(str(value or ""))
 
 
+def _normalize_publication_authors(value: object, current_author_id: str | None) -> list[dict]:
+    if not isinstance(value, dict):
+        return []
+    authors = []
+    for author in value.get("author") or []:
+        if not isinstance(author, dict):
+            continue
+        title = author.get("title") if isinstance(author.get("title"), dict) else {}
+        reverse_title = author.get("reverseTitle") if isinstance(author.get("reverseTitle"), dict) else {}
+        author_id = normalize_ws(author.get("id"))
+        href = normalize_ws(author.get("href"))
+        authors.append(
+            {
+                "id": author_id or None,
+                "href": urljoin("https://www.hse.ru", href) if href else None,
+                "title_ru": _html_to_text(title.get("ru")),
+                "title_en": _html_to_text(title.get("en")),
+                "reverse_title_ru": _html_to_text(reverse_title.get("ru")),
+                "reverse_title_en": _html_to_text(reverse_title.get("en")),
+                "alt_name": normalize_ws(author.get("altName")) or None,
+                "other_name": normalize_ws(author.get("otherName")) or None,
+                "is_current_employee": bool(current_author_id and author_id == current_author_id),
+            }
+        )
+    return authors
+
+
+def _document_href(documents: dict, key: str) -> str | None:
+    document = documents.get(key)
+    if not isinstance(document, dict):
+        return None
+    return normalize_ws(document.get("href")) or None
+
+
+def _build_publication_citation(title: str, authors: list[dict], year: int | None) -> str:
+    author_names = [author.get("title_ru") or author.get("title_en") or author.get("alt_name") for author in authors]
+    return normalize_ws(". ".join(part for part in [", ".join(filter(None, author_names)), title, str(year or "")] if part))
+
+
+def _int_or_none(value: object) -> int | None:
+    try:
+        return int(value)
+    except (TypeError, ValueError):
+        return None
+
+
 def _slugify(value: str) -> str:
     cleaned = re.sub(r"[^\w\s-]", "", value.lower(), flags=re.UNICODE)
     return re.sub(r"[-\s]+", "_", cleaned).strip("_") or "section"

app/services/crawler.py

@@ -6,11 +6,20 @@ import time
 from datetime import datetime, timezone
 
 import requests
-from sqlalchemy import select
+from sqlalchemy import inspect, select
 from sqlalchemy.orm import Session
 
 from app.config import Settings
-from app.models import CrawlError, CrawlRun, CrawlRunEmployeeChange, Employee, EmployeeSnapshot, ParserSource, ProfileTab
+from app.models import (
+    CrawlError,
+    CrawlRun,
+    CrawlRunEmployeeChange,
+    Employee,
+    EmployeePublication,
+    EmployeeSnapshot,
+    ParserSource,
+    ProfileTab,
+)
 from app.parser.collector import collect_profile_links
 from app.parser.profile import parse_person_profile
 from app.parser.profile_url import profile_key
@@ -219,9 +228,127 @@ def _upsert_employee(db: Session, run: CrawlRun, parsed: dict) -> tuple[Employee
                 parser_version=parser_version,
             )
         )
+    db.flush()
+    _try_sync_employee_publications(db, run, employee, parsed)
     return employee, changed
 
 
+def _try_sync_employee_publications(db: Session, run: CrawlRun, employee: Employee, parsed: dict) -> None:
+    try:
+        if not _publication_payloads(parsed):
+            return
+        if not _employee_publications_table_exists(db):
+            return
+        with db.begin_nested():
+            _sync_employee_publications(db, employee, parsed)
+    except Exception as exc:
+        db.add(
+            CrawlError(
+                crawl_run_id=run.id,
+                profile_url=employee.canonical_url,
+                error_type=type(exc).__name__,
+                message=f"Не удалось сохранить публикации сотрудника: {exc}",
+            )
+        )
+
+
+def _employee_publications_table_exists(db: Session) -> bool:
+    return inspect(db.connection()).has_table(EmployeePublication.__tablename__)
+
+
+def _sync_employee_publications(db: Session, employee: Employee, parsed: dict) -> None:
+    publications = _publication_payloads(parsed)
+    seen_hashes = set()
+    for publication in publications:
+        source_hash = _publication_hash(publication)
+        seen_hashes.add(source_hash)
+        publication_id = _clean_optional(publication.get("publication_id") or publication.get("id"))
+        existing = None
+        if publication_id:
+            existing = db.scalar(
+                select(EmployeePublication).where(
+                    EmployeePublication.employee_id == employee.id,
+                    EmployeePublication.publication_id == publication_id,
+                )
+            )
+        if not existing:
+            existing = db.scalar(
+                select(EmployeePublication).where(
+                    EmployeePublication.employee_id == employee.id,
+                    EmployeePublication.source_hash == source_hash,
+                )
+            )
+        if not existing:
+            existing = EmployeePublication(employee_id=employee.id, source_hash=source_hash, title=_publication_title(publication))
+            db.add(existing)
+        _apply_publication(existing, publication, source_hash)
+
+    if seen_hashes:
+        stale = db.scalars(
+            select(EmployeePublication).where(
+                EmployeePublication.employee_id == employee.id,
+                EmployeePublication.source_hash.not_in(seen_hashes),
+            )
+        ).all()
+        for item in stale:
+            db.delete(item)
+
+
+def _publication_payloads(parsed: dict) -> list[dict]:
+    publications = []
+    for section in parsed.get("sections") or []:
+        if not isinstance(section, dict) or section.get("type") != "publications":
+            continue
+        for publication in section.get("publications") or []:
+            if isinstance(publication, dict):
+                publications.append(publication)
+    return publications
+
+
+def _apply_publication(target: EmployeePublication, publication: dict, source_hash: str) -> None:
+    target.publication_id = _clean_optional(publication.get("publication_id") or publication.get("id"))
+    target.title = _publication_title(publication)
+    target.year = _int_or_none(publication.get("year"))
+    target.publication_type = _clean_optional(publication.get("publication_type") or publication.get("type"))
+    target.language = _clean_optional(publication.get("language"))
+    target.status = _int_or_none(publication.get("status"))
+    target.url = _clean_optional(publication.get("url"))
+    target.doi_url = _clean_optional(publication.get("doi_url"))
+    target.other_url = _clean_optional(publication.get("other_url"))
+    target.document_url = _clean_optional(publication.get("document_url"))
+    target.citation_text = _clean_optional(publication.get("citation_text") or publication.get("text"))
+    target.annotation = publication.get("annotation") if isinstance(publication.get("annotation"), dict) else None
+    target.description = publication.get("description") if isinstance(publication.get("description"), dict) else None
+    target.authors = publication.get("authors") if isinstance(publication.get("authors"), list) else None
+    target.raw_data = publication.get("raw_data") if isinstance(publication.get("raw_data"), dict) else publication
+    target.source_hash = source_hash
+
+
+def _publication_hash(publication: dict) -> str:
+    return _payload_hash(publication.get("raw_data") if isinstance(publication.get("raw_data"), dict) else publication)
+
+
+def _payload_hash(value: object) -> str:
+    payload = json.dumps(_stable_checksum_payload(value), ensure_ascii=False, sort_keys=True, separators=(",", ":"), default=str)
+    return hashlib.sha256(payload.encode("utf-8")).hexdigest()
+
+
+def _publication_title(publication: dict) -> str:
+    return _clean_optional(publication.get("title") or publication.get("text") or publication.get("id")) or "Untitled publication"
+
+
+def _clean_optional(value: object) -> str | None:
+    text = str(value or "").strip()
+    return text or None
+
+
+def _int_or_none(value: object) -> int | None:
+    try:
+        return int(value)
+    except (TypeError, ValueError):
+        return None
+
+
 def _mark_dismissed(db: Session, run: CrawlRun, found_keys: set[str], session: requests.Session, timeout: int) -> int:
     dismissed = 0
     active = db.scalars(select(Employee).where(Employee.status == "active")).all()

app/version.py

@@ -1,3 +1,3 @@
-APP_VERSION = "0.6.1"
+APP_VERSION = "0.6.2"
-FRONTEND_VERSION = "0.6.1"
+FRONTEND_VERSION = "0.6.2"
-BACKEND_VERSION = "0.6.1"
+BACKEND_VERSION = "0.6.2"

migrations/006_employee_publications.sql

@@ -0,0 +1,39 @@
+CREATE TABLE IF NOT EXISTS employee_publications (
+  id SERIAL PRIMARY KEY,
+  employee_id INTEGER NOT NULL REFERENCES employees(id) ON DELETE CASCADE,
+  publication_id VARCHAR(64),
+  title TEXT NOT NULL,
+  year INTEGER,
+  publication_type VARCHAR(64),
+  language VARCHAR(16),
+  status INTEGER,
+  url TEXT,
+  doi_url TEXT,
+  other_url TEXT,
+  document_url TEXT,
+  citation_text TEXT,
+  annotation JSONB,
+  description JSONB,
+  authors JSONB,
+  raw_data JSONB,
+  source_hash VARCHAR(64) NOT NULL,
+  created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
+  updated_at TIMESTAMPTZ NOT NULL DEFAULT now(),
+  CONSTRAINT uq_employee_publications_employee_publication UNIQUE (employee_id, publication_id),
+  CONSTRAINT uq_employee_publications_employee_source_hash UNIQUE (employee_id, source_hash)
+);
+
+CREATE INDEX IF NOT EXISTS ix_employee_publications_employee_id
+  ON employee_publications (employee_id);
+
+CREATE INDEX IF NOT EXISTS ix_employee_publications_publication_id
+  ON employee_publications (publication_id);
+
+CREATE INDEX IF NOT EXISTS ix_employee_publications_doi_url
+  ON employee_publications (doi_url);
+
+CREATE INDEX IF NOT EXISTS ix_employee_publications_year
+  ON employee_publications (year);
+
+CREATE INDEX IF NOT EXISTS ix_employee_publications_publication_type
+  ON employee_publications (publication_type);

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "miem-workers"
-version = "0.6.1"
+version = "0.6.2"
 description = "MIEM employees parser, admin API, and MCP server"
 requires-python = ">=3.11"
 dependencies = [

tests/test_api_mcp.py

@@ -10,7 +10,7 @@ from sqlalchemy.pool import StaticPool
 from app.config import Settings, get_settings
 from app.db import Base, get_db
 from app.main import app
-from app.models import CrawlRun, CrawlRunEmployeeChange, Employee
+from app.models import CrawlRun, CrawlRunEmployeeChange, Employee, EmployeePublication
 from app.security import SESSION_COOKIE, sign_session
 
 
@@ -20,7 +20,7 @@ def test_health_returns_versions():
     response = client.get("/api/health")
 
     assert response.status_code == 200
-    assert response.json()["backend_version"] == "0.6.1"
+    assert response.json()["backend_version"] == "0.6.2"
 
 
 def test_mcp_lists_tools_without_auth_and_ignores_auth_header():
@@ -154,13 +154,115 @@ def test_mcp_service_info_returns_tools_and_dataset_hash():
     assert response.status_code == 200
     payload = json.loads(response.json()["result"]["content"][0]["text"])
     assert payload["service_name"] == "miem-employees"
-    assert payload["backend_version"] == "0.6.1"
+    assert payload["backend_version"] == "0.6.2"
     assert payload["dataset"]["hash"]
     assert any(tool["name"] == "sync_employees" for tool in payload["tools"])
 
     app.dependency_overrides.clear()
 
 
+def test_mcp_list_employee_publications_prefers_stored_publications_with_fallback():
+    engine = create_engine(
+        "sqlite:///:memory:",
+        connect_args={"check_same_thread": False},
+        poolclass=StaticPool,
+    )
+    Base.metadata.create_all(engine)
+    Session = sessionmaker(bind=engine)
+    session = Session()
+    stored_employee = Employee(
+        profile_key="staff:stored",
+        profile_type="staff",
+        profile_id="stored",
+        canonical_url="https://www.hse.ru/staff/stored",
+        full_name="Stored Person",
+        status="active",
+        current_data={
+            "sections": [
+                {
+                    "type": "publications",
+                    "publications": [{"title": "Old JSON Publication", "url": "https://example.test/old"}],
+                }
+            ]
+        },
+    )
+    fallback_employee = Employee(
+        profile_key="staff:fallback",
+        profile_type="staff",
+        profile_id="fallback",
+        canonical_url="https://www.hse.ru/staff/fallback",
+        full_name="Fallback Person",
+        status="active",
+        current_data={
+            "sections": [
+                {
+                    "type": "publications",
+                    "publications": [{"title": "Fallback Publication", "url": "https://example.test/fallback"}],
+                }
+            ]
+        },
+    )
+    session.add_all([stored_employee, fallback_employee])
+    session.commit()
+    session.add(
+        EmployeePublication(
+            employee_id=stored_employee.id,
+            publication_id="pub-1",
+            title="Stored Publication",
+            year=2024,
+            publication_type="ARTICLE",
+            url="https://publications.hse.ru/view/pub-1",
+            doi_url="https://doi.org/10.1/test",
+            citation_text="Stored Citation",
+            annotation={"ru": "Аннотация", "en": "Abstract"},
+            description={"main": "Stored Citation"},
+            authors=[{"id": "1", "title_ru": "Автор", "is_current_employee": True}],
+            source_hash="a" * 64,
+        )
+    )
+    session.commit()
+    session.close()
+
+    def override_db():
+        db = Session()
+        try:
+            yield db
+        finally:
+            db.close()
+
+    app.dependency_overrides[get_db] = override_db
+    client = TestClient(app)
+
+    stored_response = client.post(
+        "/mcp",
+        json={
+            "jsonrpc": "2.0",
+            "id": 1,
+            "method": "tools/call",
+            "params": {"name": "list_employee_publications", "arguments": {"profile_id_or_url": "stored"}},
+        },
+    )
+    fallback_response = client.post(
+        "/mcp",
+        json={
+            "jsonrpc": "2.0",
+            "id": 2,
+            "method": "tools/call",
+            "params": {"name": "list_employee_publications", "arguments": {"profile_id_or_url": "fallback"}},
+        },
+    )
+
+    stored_payload = json.loads(stored_response.json()["result"]["content"][0]["text"])
+    fallback_payload = json.loads(fallback_response.json()["result"]["content"][0]["text"])
+    assert stored_payload["items"][0]["title"] == "Stored Publication"
+    assert stored_payload["items"][0]["doi_url"] == "https://doi.org/10.1/test"
+    assert stored_payload["items"][0]["annotation"] == {"ru": "Аннотация", "en": "Abstract"}
+    assert stored_payload["items"][0]["authors"] == [{"id": "1", "title_ru": "Автор", "is_current_employee": True}]
+    assert fallback_payload["items"][0]["title"] == "Fallback Publication"
+
+    app.dependency_overrides.clear()
+
+
 def test_mcp_sync_employees_full_empty_and_unknown_hash_modes():
     engine = create_engine(
         "sqlite:///:memory:",

tests/test_crawler.py

@@ -1,7 +1,7 @@
 import gzip
 from datetime import datetime, timezone
 
-from app.models import CrawlRun, CrawlRunEmployeeChange, Employee, EmployeeSnapshot, ParseResourceCache
+from app.models import CrawlError, CrawlRun, CrawlRunEmployeeChange, Employee, EmployeePublication, EmployeeSnapshot, ParseResourceCache
 from app.services.crawler import _checksum, _mark_dismissed, _upsert_employee
 from app.services.resource_cache import ResourceCache
 
@@ -191,6 +191,68 @@ def test_upsert_employee_skips_snapshot_when_checksum_is_unchanged(db_session):
     assert db_session.query(EmployeeSnapshot).count() == 1
 
 
+def test_upsert_employee_saves_publications_and_reuses_existing_rows(db_session):
+    first_run = CrawlRun(source_url="https://miem.hse.ru/persons", status="running")
+    second_run = CrawlRun(source_url="https://miem.hse.ru/persons", status="running")
+    db_session.add_all([first_run, second_run])
+    db_session.commit()
+
+    parsed = _parsed_employee("published")
+    parsed["sections"] = [
+        {
+            "type": "publications",
+            "publications": [
+                {
+                    "id": "888959076",
+                    "publication_id": "888959076",
+                    "title": "Detailed Publication",
+                    "year": 2023,
+                    "publication_type": "ARTICLE",
+                    "language": "ru",
+                    "status": 1,
+                    "url": "https://publications.hse.ru/view/888959076",
+                    "doi_url": "https://doi.org/10.1/test",
+                    "citation_text": "Detailed citation",
+                    "annotation": {"ru": "Аннотация"},
+                    "description": {"main": "Detailed citation"},
+                    "authors": [{"id": "1", "title_ru": "Автор"}],
+                    "raw_data": {"id": "888959076", "title": "Detailed Publication"},
+                }
+            ],
+        }
+    ]
+
+    employee, _ = _upsert_employee(db_session, first_run, parsed)
+    db_session.commit()
+    _upsert_employee(db_session, second_run, _parsed_employee_with_publication("published"))
+    db_session.commit()
+
+    publications = db_session.query(EmployeePublication).filter_by(employee_id=employee.id).all()
+    assert len(publications) == 1
+    assert publications[0].doi_url == "https://doi.org/10.1/test"
+    assert publications[0].authors == [{"id": "1", "title_ru": "Автор"}]
+
+
+def test_upsert_employee_records_publication_errors_without_failing_employee(monkeypatch, db_session):
+    run = CrawlRun(source_url="https://miem.hse.ru/persons", status="running")
+    db_session.add(run)
+    db_session.commit()
+
+    def broken_sync(*_args, **_kwargs):
+        raise RuntimeError("boom")
+
+    monkeypatch.setattr("app.services.crawler._sync_employee_publications", broken_sync)
+
+    employee, changed = _upsert_employee(db_session, run, _parsed_employee_with_publication("error-safe"))
+    db_session.commit()
+
+    assert changed is True
+    assert employee.full_name == "Same Person"
+    assert db_session.query(Employee).filter_by(profile_key="staff:error-safe").one()
+    error = db_session.query(CrawlError).one()
+    assert "публикации" in error.message.lower()
+
+
 def test_checksum_changes_when_widget_data_changes():
     base = _parsed_employee("widgets")
     changed = _parsed_employee("widgets")
@@ -224,3 +286,31 @@ def _parsed_employee(profile_id: str) -> dict:
         "parser_version": "0.6.0",
         "_html": "<html></html>",
     }
+
+
+def _parsed_employee_with_publication(profile_id: str) -> dict:
+    parsed = _parsed_employee(profile_id)
+    parsed["sections"] = [
+        {
+            "type": "publications",
+            "publications": [
+                {
+                    "id": "888959076",
+                    "publication_id": "888959076",
+                    "title": "Detailed Publication",
+                    "year": 2023,
+                    "publication_type": "ARTICLE",
+                    "language": "ru",
+                    "status": 1,
+                    "url": "https://publications.hse.ru/view/888959076",
+                    "doi_url": "https://doi.org/10.1/test",
+                    "citation_text": "Detailed citation",
+                    "annotation": {"ru": "Аннотация"},
+                    "description": {"main": "Detailed citation"},
+                    "authors": [{"id": "1", "title_ru": "Автор"}],
+                    "raw_data": {"id": "888959076", "title": "Detailed Publication"},
+                }
+            ],
+        }
+    ]
+    return parsed

tests/test_db_schema.py

@@ -25,3 +25,47 @@ def test_runtime_schema_adds_skipped_count_to_existing_crawl_runs_table(monkeypa
 
     columns = {column["name"] for column in inspect(engine).get_columns("crawl_runs")}
     assert "skipped_count" in columns
+
+
+def test_runtime_schema_creates_employee_publications_table_when_employees_exist(monkeypatch):
+    engine = create_engine("sqlite:///:memory:")
+    with engine.begin() as connection:
+        connection.execute(
+            text(
+                """
+                CREATE TABLE employees (
+                  id INTEGER PRIMARY KEY,
+                  profile_key VARCHAR(255) NOT NULL UNIQUE,
+                  canonical_url TEXT NOT NULL,
+                  status VARCHAR(32) NOT NULL DEFAULT 'active',
+                  first_seen_at DATETIME NOT NULL,
+                  last_seen_at DATETIME NOT NULL,
+                  created_at DATETIME NOT NULL,
+                  updated_at DATETIME NOT NULL
+                )
+                """
+            )
+        )
+        connection.execute(
+            text(
+                """
+                CREATE TABLE crawl_runs (
+                  id INTEGER PRIMARY KEY,
+                  source_url TEXT NOT NULL,
+                  status VARCHAR(32) NOT NULL DEFAULT 'running',
+                  found_count INTEGER NOT NULL DEFAULT 0,
+                  parsed_count INTEGER NOT NULL DEFAULT 0,
+                  skipped_count INTEGER NOT NULL DEFAULT 0
+                )
+                """
+            )
+        )
+    monkeypatch.setattr("app.db.engine", engine)
+
+    _ensure_runtime_schema()
+    _ensure_runtime_schema()
+
+    inspector = inspect(engine)
+    assert "employee_publications" in inspector.get_table_names()
+    columns = {column["name"] for column in inspector.get_columns("employee_publications")}
+    assert {"employee_id", "publication_id", "doi_url", "authors", "raw_data", "source_hash"}.issubset(columns)

tests/test_parser.py

@@ -34,7 +34,21 @@ class FakeSession:
                             "type": "ARTICLE",
                             "title": "Дублирование пакетов",
                             "year": 2023,
+                            "language": {"name": "ru"},
+                            "status": 1,
+                            "authorsByType": {
+                                "author": [
+                                    {
+                                        "id": "568398853",
+                                        "href": "/org/persons/568398853",
+                                        "title": {"ru": "Левицкий И. А.", "en": ""},
+                                        "reverseTitle": {"ru": "И. А. Левицкий", "en": ""},
+                                    }
+                                ]
+                            },
                             "description": {"short": {"ru": "Информационные процессы. 2023."}},
+                            "annotation": {"ru": "<p>Русская аннотация</p>"},
+                            "documents": {"DOI": {"href": "https://doi.org/10.1/test"}},
                         }
                     ],
                 },
@@ -153,6 +167,9 @@ def test_enrich_sections_from_hse_widgets_loads_publications_and_vkr():
 
     assert publications["publications_count"] == 1
     assert publications["publications"][0]["url"] == "https://publications.hse.ru/view/888959076"
+    assert publications["publications"][0]["doi_url"] == "https://doi.org/10.1/test"
+    assert publications["publications"][0]["annotation"] == {"ru": "Русская аннотация"}
+    assert publications["publications"][0]["authors"][0]["is_current_employee"] is True
     assert theses["theses_count"] == 1
     assert theses["theses"][0]["student"] == "Лесняк Владислав Евгеньевич"
     assert theses["theses"][0]["project_url"] == "https://www.hse.ru/edu/vkr/1045750164"