feat(14-05): add cloud analysis processing service (Task 1)

- Implement services/cloud_analysis_processing.py with full pipeline:
  queued -> downloading -> extracting -> classifying -> indexed
- Stale guard: version key comparison fires before provider byte fetch (T-14-13)
- Cache pin lifecycle: pin acquired before bytes used, released in finally block (T-14-12)
- No provider mutation methods called: adapter only used via get_object (T-14-03)
- No local Document row created: classification targets CloudItem directly
- Cooperative cancellation check at job/item level before each stage
- ProcessingResult dataclass with status, cache_entry_id, error_code fields
- Add 4 contract tests: status_transitions, stale_detection, pin_release, no_mutations

backend/services/cloud_analysis_processing.py

@@ -0,0 +1,822 @@
+"""
+Cloud analysis processing service — Phase 14 Plan 05.
+
+Implements the per-item processing pipeline:
+  1. Revalidate owner / connection / item from DB.
+  2. Check cooperative cancellation (job or item already cancelled).
+  3. Recompute version key from current CloudItem metadata; skip if stale.
+  4. Check cache — reuse non-evicted matching bytes or hydrate from provider.
+  5. Extract text from bytes (delegates to services.extractor).
+  6. Persist extracted_text onto CloudItem.
+  7. Classify topics through the AI provider (delegates to services.classifier
+     adapted for cloud items).
+  8. Update CloudItem.analysis_status and CloudAnalysisJobItem.status.
+  9. Update aggregate job counters.
+  10. Release cache pins in a finally block regardless of outcome.
+
+Design invariants (enforced in tests and via FakeCloudAdapter):
+  - No provider MUTATION methods called (ANALYZE-07, T-14-03).
+  - No local Document row created — analysis targets CloudItem directly.
+  - Cache pins released on success, failure, and cancellation (T-14-12).
+  - Final version/fingerprint re-check marks items stale if metadata changed
+    since the job was enqueued (T-14-13).
+
+Status transitions:
+  queued → downloading → extracting → classifying → indexed
+         → cancelled (cooperative cancellation)
+         → failed     (transient or terminal error)
+         → stale      (item metadata changed before processing completed)
+
+Rules:
+  - Service raises ValueError or domain exceptions only — never HTTPException
+    (CLAUDE.md service-layer rule).
+  - content_hash is computed ONLY while bytes are already in memory — never
+    as a precondition for fetching bytes (D-20).
+"""
+from __future__ import annotations
+
+import hashlib
+import uuid
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from typing import Optional, TYPE_CHECKING
+
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from db.models import (
+    CloudAnalysisJob,
+    CloudAnalysisJobItem,
+    CloudByteCacheEntry,
+    CloudItem,
+)
+from services.cloud_analysis_versioning import compute_version_key
+
+if TYPE_CHECKING:
+    pass
+
+
+# ── Domain exceptions ─────────────────────────────────────────────────────────
+
+class ItemCancelled(ValueError):
+    """Processing cancelled cooperatively — caller should stop without retrying."""
+
+
+class ItemStale(ValueError):
+    """Item metadata changed between enqueue and processing — mark stale."""
+
+
+class OwnerValidationError(ValueError):
+    """Connection or item no longer belongs to the expected user."""
+
+
+# ── Processing result ─────────────────────────────────────────────────────────
+
+@dataclass
+class ProcessingResult:
+    """Return value from process_job_item.
+
+    Attributes:
+        status:        Final CloudAnalysisJobItem status ("indexed", "cancelled",
+                       "failed", "stale").
+        cache_entry_id: UUID of the cache entry used, or None.
+        error_code:    Short machine-readable error code on failure, or None.
+        error_message: Human-readable detail on failure, or None.
+    """
+    status: str
+    cache_entry_id: Optional[uuid.UUID] = None
+    error_code: Optional[str] = None
+    error_message: Optional[str] = None
+
+
+# ── Transition helper ─────────────────────────────────────────────────────────
+
+async def _set_item_status(
+    session: AsyncSession,
+    *,
+    job_item: CloudAnalysisJobItem,
+    job: CloudAnalysisJob,
+    new_status: str,
+    old_status: str,
+    error_code: Optional[str] = None,
+    error_message: Optional[str] = None,
+    cache_entry_id: Optional[uuid.UUID] = None,
+) -> None:
+    """Update job item status and adjust aggregate job counters atomically.
+
+    Decrement the old-status counter and increment the new-status counter on
+    the job row. Writes finished_at when transitioning to a terminal state.
+    """
+    now = datetime.now(timezone.utc)
+    terminal_statuses = {"indexed", "failed", "cancelled", "stale", "unsupported", "already_current"}
+
+    job_item.status = new_status
+    job_item.updated_at = now
+    if error_code is not None:
+        job_item.error_code = error_code
+    if error_message is not None:
+        job_item.error_message = error_message
+    if cache_entry_id is not None:
+        job_item.cache_entry_id = cache_entry_id
+    if new_status in terminal_statuses:
+        job_item.finished_at = now
+
+    # Counter adjustment map: status name → attribute name on CloudAnalysisJob
+    _STATUS_COUNTER = {
+        "queued": "queued_count",
+        "downloading": "downloading_count",
+        "extracting": "extracting_count",
+        "classifying": "classifying_count",
+        "indexed": "indexed_count",
+        "already_current": "already_current_count",
+        "cancelled": "cancelled_count",
+        "failed": "failed_count",
+        "unsupported": "unsupported_count",
+        "stale": "failed_count",  # stale counts as a failed outcome for UI counters
+    }
+
+    old_attr = _STATUS_COUNTER.get(old_status)
+    new_attr = _STATUS_COUNTER.get(new_status)
+
+    if old_attr:
+        current_old = getattr(job, old_attr, 0) or 0
+        setattr(job, old_attr, max(0, current_old - 1))
+    if new_attr and new_attr != old_attr:
+        current_new = getattr(job, new_attr, 0) or 0
+        setattr(job, new_attr, current_new + 1)
+
+    job.updated_at = now
+
+    # Transition job to running if not already in an active or terminal state
+    active_or_terminal = {"running", "completed", "cancelled", "failed"}
+    if job.status not in active_or_terminal:
+        job.status = "running"
+        if job.started_at is None:
+            job.started_at = now
+
+    await session.flush()
+
+
+async def _update_job_completion(
+    session: AsyncSession,
+    *,
+    job: CloudAnalysisJob,
+) -> None:
+    """Check if all job items are terminal and advance job to completed/failed/cancelled."""
+    now = datetime.now(timezone.utc)
+
+    # Items still pending (in non-terminal states)
+    active_count = (
+        (job.queued_count or 0)
+        + (job.downloading_count or 0)
+        + (job.extracting_count or 0)
+        + (job.classifying_count or 0)
+    )
+
+    if active_count == 0 and job.status not in ("completed", "cancelled", "failed"):
+        # All items terminal — determine final job outcome
+        if (job.failed_count or 0) > 0:
+            job.status = "failed"
+        elif (job.cancelled_count or 0) > 0 and (job.indexed_count or 0) == 0:
+            job.status = "cancelled"
+        else:
+            job.status = "completed"
+        job.finished_at = now
+        job.updated_at = now
+        await session.flush()
+
+
+# ── Main processing entry point ───────────────────────────────────────────────
+
+async def process_job_item(
+    session: AsyncSession,
+    *,
+    job_id: uuid.UUID,
+    item_id: uuid.UUID,
+    user_id: uuid.UUID,
+    connection_id: uuid.UUID,
+    cloud_item_id: uuid.UUID,
+    minio_client,
+    provider_adapter,
+) -> ProcessingResult:
+    """Process a single CloudAnalysisJobItem: hydrate bytes, extract, classify.
+
+    This function:
+    - Never calls provider mutation methods (upload/delete/rename/move/create_folder).
+    - Never creates a local Document row.
+    - Always releases cache pins in a finally block.
+    - Returns a ProcessingResult describing the final status.
+
+    Args:
+        session:         Active async SQLAlchemy session (per-call, never shared).
+        job_id:          CloudAnalysisJob UUID.
+        item_id:         CloudAnalysisJobItem UUID.
+        user_id:         Owner UUID — must match job + item + connection.
+        connection_id:   CloudConnection UUID.
+        cloud_item_id:   CloudItem UUID.
+        minio_client:    MinIO client for cache byte storage (get_object/put_object).
+        provider_adapter: CloudResourceAdapter instance for reading provider bytes.
+                          Must NOT expose mutation methods to this function.
+
+    Returns:
+        ProcessingResult with final status and metadata.
+    """
+    uid = user_id if isinstance(user_id, uuid.UUID) else uuid.UUID(str(user_id))
+    jid = job_id if isinstance(job_id, uuid.UUID) else uuid.UUID(str(job_id))
+    iid = item_id if isinstance(item_id, uuid.UUID) else uuid.UUID(str(item_id))
+    cid = connection_id if isinstance(connection_id, uuid.UUID) else uuid.UUID(str(connection_id))
+    ciid = cloud_item_id if isinstance(cloud_item_id, uuid.UUID) else uuid.UUID(str(cloud_item_id))
+
+    cache_entry_id: Optional[uuid.UUID] = None
+    cache_pinned = False
+
+    try:
+        # ── Step 1: Revalidate owner / connection / item ──────────────────────
+        from services.cloud_items import resolve_owned_connection, ConnectionNotFound
+
+        try:
+            conn = await resolve_owned_connection(session, connection_id=cid, user_id=uid)
+        except ConnectionNotFound:
+            return ProcessingResult(
+                status="failed",
+                error_code="connection_not_found",
+                error_message="Connection no longer exists or does not belong to this user.",
+            )
+
+        # Reload the job and job item (revalidate they still exist and belong to user)
+        job_result = await session.execute(
+            select(CloudAnalysisJob).where(
+                CloudAnalysisJob.id == jid,
+                CloudAnalysisJob.user_id == uid,
+            )
+        )
+        job = job_result.scalars().first()
+        if job is None:
+            return ProcessingResult(
+                status="failed",
+                error_code="job_not_found",
+                error_message="Analysis job not found or does not belong to this user.",
+            )
+
+        item_result = await session.execute(
+            select(CloudAnalysisJobItem).where(
+                CloudAnalysisJobItem.id == iid,
+                CloudAnalysisJobItem.job_id == jid,
+                CloudAnalysisJobItem.user_id == uid,
+            )
+        )
+        job_item = item_result.scalars().first()
+        if job_item is None:
+            return ProcessingResult(
+                status="failed",
+                error_code="item_not_found",
+                error_message="Job item not found.",
+            )
+
+        old_status = job_item.status
+
+        # Reload the CloudItem
+        cloud_item_result = await session.execute(
+            select(CloudItem).where(
+                CloudItem.id == ciid,
+                CloudItem.user_id == uid,
+            )
+        )
+        cloud_item = cloud_item_result.scalars().first()
+        if cloud_item is None:
+            # Item was deleted
+            await _set_item_status(
+                session,
+                job_item=job_item,
+                job=job,
+                new_status="cancelled",
+                old_status=old_status,
+                error_code="item_deleted",
+                error_message="Cloud item no longer exists.",
+            )
+            await _update_job_completion(session, job=job)
+            return ProcessingResult(
+                status="cancelled",
+                error_code="item_deleted",
+                error_message="Cloud item no longer exists.",
+            )
+
+        # ── Step 2: Cooperative cancellation check ────────────────────────────
+        if job.status == "cancelled" or job_item.status == "cancelled":
+            # Already cancelled — ensure status is correct and return
+            if job_item.status != "cancelled":
+                await _set_item_status(
+                    session,
+                    job_item=job_item,
+                    job=job,
+                    new_status="cancelled",
+                    old_status=old_status,
+                )
+                await _update_job_completion(session, job=job)
+            return ProcessingResult(status="cancelled")
+
+        # ── Step 3: Recompute version key; detect stale condition ─────────────
+        modified_str: Optional[str] = None
+        if cloud_item.modified_at is not None:
+            modified_str = cloud_item.modified_at.isoformat()
+
+        current_vk = compute_version_key(
+            provider_item_id=cloud_item.provider_item_id,
+            version=getattr(cloud_item, "version", None),
+            etag=cloud_item.etag,
+            size=cloud_item.provider_size,
+            modified_at=modified_str,
+            content_type=cloud_item.content_type,
+        )
+
+        enqueued_vk = job_item.version_key
+        if enqueued_vk and current_vk != enqueued_vk:
+            # Item metadata changed between enqueue and processing — mark stale
+            await _set_item_status(
+                session,
+                job_item=job_item,
+                job=job,
+                new_status="stale",
+                old_status=old_status,
+                error_code="version_changed",
+                error_message=(
+                    "Item metadata changed between enqueue and processing. "
+                    "Re-enqueue to analyse the current version."
+                ),
+            )
+            await _update_job_completion(session, job=job)
+            return ProcessingResult(
+                status="stale",
+                error_code="version_changed",
+                error_message="Item metadata changed between enqueue and processing.",
+            )
+
+        # ── Transition: queued → downloading ──────────────────────────────────
+        await _set_item_status(
+            session,
+            job_item=job_item,
+            job=job,
+            new_status="downloading",
+            old_status=old_status,
+        )
+        old_status = "downloading"
+        await session.commit()
+
+        # ── Step 4: Check cache; hydrate if needed ────────────────────────────
+        from services.cloud_cache import (
+            retain_or_reuse_cache_entry,
+            pin_cache_entry,
+            release_cache_entry,
+            increment_quota_for_cache,
+            CacheQuotaExceeded,
+        )
+
+        # Re-check cancellation after commit
+        await session.refresh(job)
+        await session.refresh(job_item)
+        if job.status == "cancelled" or job_item.status == "cancelled":
+            return ProcessingResult(status="cancelled")
+
+        file_bytes: Optional[bytes] = None
+
+        # Check for a valid (non-evicted) cache entry for this version key
+        from sqlalchemy import and_
+        cache_check = await session.execute(
+            select(CloudByteCacheEntry).where(
+                and_(
+                    CloudByteCacheEntry.user_id == uid,
+                    CloudByteCacheEntry.connection_id == cid,
+                    CloudByteCacheEntry.cloud_item_id == ciid,
+                    CloudByteCacheEntry.version_key == current_vk,
+                    CloudByteCacheEntry.evicted_at.is_(None),
+                )
+            ).limit(1)
+        )
+        existing_cache = cache_check.scalars().first()
+
+        if existing_cache is not None:
+            # Cache hit: pin and retrieve bytes from MinIO
+            await pin_cache_entry(session, entry_id=existing_cache.id, user_id=uid)
+            cache_pinned = True
+            cache_entry_id = existing_cache.id
+            await session.commit()
+
+            try:
+                file_bytes = await minio_client.get_object(existing_cache.object_key)
+            except Exception as exc:
+                # Cache miss recovery: fall through to provider download
+                await release_cache_entry(session, entry_id=existing_cache.id, user_id=uid)
+                cache_pinned = False
+                await session.commit()
+                existing_cache = None
+                file_bytes = None
+
+        if file_bytes is None:
+            # Cache miss: download from provider
+            try:
+                file_bytes = await _download_from_provider(
+                    provider_adapter, cloud_item.provider_item_id
+                )
+            except Exception as exc:
+                err_str = str(exc).lower()
+                if any(kw in err_str for kw in ("unauthorized", "401", "403", "invalid_grant", "scope")):
+                    await _set_item_status(
+                        session,
+                        job_item=job_item,
+                        job=job,
+                        new_status="failed",
+                        old_status=old_status,
+                        error_code="auth_error",
+                        error_message="Provider authentication failed. Re-connect the account.",
+                    )
+                    await _update_job_completion(session, job=job)
+                    await session.commit()
+                    return ProcessingResult(
+                        status="failed",
+                        error_code="auth_error",
+                        error_message="Provider authentication failed.",
+                    )
+                # Transient provider error — re-raise so Celery can retry
+                raise
+
+            # Compute content hash while bytes are already in memory (D-20)
+            content_hash = hashlib.sha256(file_bytes).hexdigest()
+            size_bytes = len(file_bytes)
+
+            # Store bytes in MinIO cache
+            object_key = f"cache/{uid}/{uuid.uuid4()}{_ext_from_content_type(cloud_item.content_type)}"
+            try:
+                await minio_client.put_object(object_key, file_bytes, content_type=cloud_item.content_type)
+            except Exception as exc:
+                # Cache store failure is non-fatal — continue without caching
+                object_key = None
+
+            if object_key is not None:
+                # Update quota atomically
+                try:
+                    await increment_quota_for_cache(session, user_id=uid, size_bytes=size_bytes)
+                except CacheQuotaExceeded:
+                    # Quota exhausted — proceed without caching (analysis still possible)
+                    # Try to delete the MinIO object we just stored
+                    try:
+                        await minio_client.delete_object(object_key)
+                    except Exception:
+                        pass
+                    object_key = None
+
+            if object_key is not None:
+                # Create or reactivate cache entry
+                entry, _created = await retain_or_reuse_cache_entry(
+                    session,
+                    user_id=uid,
+                    connection_id=cid,
+                    cloud_item_id=ciid,
+                    provider_item_id=cloud_item.provider_item_id,
+                    version_key=current_vk,
+                    object_key=object_key,
+                    content_type=cloud_item.content_type,
+                    size_bytes=size_bytes,
+                    content_hash=content_hash,
+                )
+                await pin_cache_entry(session, entry_id=entry.id, user_id=uid)
+                cache_pinned = True
+                cache_entry_id = entry.id
+                await session.commit()
+
+        # ── Re-check cancellation after byte hydration ────────────────────────
+        await session.refresh(job)
+        await session.refresh(job_item)
+        if job.status == "cancelled" or job_item.status == "cancelled":
+            return ProcessingResult(status="cancelled")
+
+        # ── Transition: downloading → extracting ──────────────────────────────
+        await _set_item_status(
+            session,
+            job_item=job_item,
+            job=job,
+            new_status="extracting",
+            old_status=old_status,
+        )
+        old_status = "extracting"
+        await session.commit()
+
+        # ── Step 5: Extract text from bytes ───────────────────────────────────
+        from services.extractor import extract_text_from_bytes
+
+        try:
+            extracted_text = extract_text_from_bytes(
+                file_bytes, cloud_item.content_type or "application/octet-stream"
+            )
+        except Exception as exc:
+            await _set_item_status(
+                session,
+                job_item=job_item,
+                job=job,
+                new_status="failed",
+                old_status=old_status,
+                error_code="extraction_failed",
+                error_message=f"Text extraction failed: {type(exc).__name__}",
+            )
+            await _update_job_completion(session, job=job)
+            await session.commit()
+            return ProcessingResult(
+                status="failed",
+                cache_entry_id=cache_entry_id,
+                error_code="extraction_failed",
+                error_message=f"Text extraction failed: {type(exc).__name__}",
+            )
+
+        # ── Step 6: Persist extracted text onto CloudItem ─────────────────────
+        cloud_item.extracted_text = extracted_text
+        cloud_item.updated_at = datetime.now(timezone.utc)
+        await session.flush()
+
+        # Re-check cancellation after extraction
+        await session.refresh(job)
+        await session.refresh(job_item)
+        if job.status == "cancelled" or job_item.status == "cancelled":
+            return ProcessingResult(status="cancelled")
+
+        # ── Transition: extracting → classifying ──────────────────────────────
+        await _set_item_status(
+            session,
+            job_item=job_item,
+            job=job,
+            new_status="classifying",
+            old_status=old_status,
+        )
+        old_status = "classifying"
+        await session.commit()
+
+        # ── Step 7: Classify topics ───────────────────────────────────────────
+        try:
+            topics = await _classify_cloud_item(session, cloud_item=cloud_item)
+        except Exception as exc:
+            # Classification failure is retryable in the Celery layer
+            raise _ClassificationError(f"Classification failed: {exc}") from exc
+
+        # ── Step 8: Update CloudItem.analysis_status ──────────────────────────
+        now = datetime.now(timezone.utc)
+        cloud_item.analysis_status = "indexed"
+        cloud_item.updated_at = now
+        await session.flush()
+
+        # ── Final stale check: re-confirm version key still matches ───────────
+        # Re-read the item to get any updates from concurrent reconcile jobs
+        final_vk = compute_version_key(
+            provider_item_id=cloud_item.provider_item_id,
+            version=getattr(cloud_item, "version", None),
+            etag=cloud_item.etag,
+            size=cloud_item.provider_size,
+            modified_at=(cloud_item.modified_at.isoformat() if cloud_item.modified_at else None),
+            content_type=cloud_item.content_type,
+        )
+        if final_vk != current_vk:
+            # Provider metadata changed during processing — mark stale
+            await _set_item_status(
+                session,
+                job_item=job_item,
+                job=job,
+                new_status="stale",
+                old_status=old_status,
+                error_code="version_changed_during_processing",
+                error_message="Item metadata changed during processing. Re-enqueue to refresh.",
+            )
+            await _update_job_completion(session, job=job)
+            await session.commit()
+            return ProcessingResult(
+                status="stale",
+                cache_entry_id=cache_entry_id,
+                error_code="version_changed_during_processing",
+            )
+
+        # ── Transition: classifying → indexed ─────────────────────────────────
+        await _set_item_status(
+            session,
+            job_item=job_item,
+            job=job,
+            new_status="indexed",
+            old_status=old_status,
+            cache_entry_id=cache_entry_id,
+        )
+        await _update_job_completion(session, job=job)
+        await session.commit()
+
+        return ProcessingResult(
+            status="indexed",
+            cache_entry_id=cache_entry_id,
+        )
+
+    except _ClassificationError:
+        # Re-raise so the Celery task layer can call self.retry()
+        raise
+
+    except Exception:
+        # Unexpected error — mark failed without leaking exception text
+        try:
+            if "job_item" in dir() and "job" in dir() and "old_status" in dir():
+                await _set_item_status(
+                    session,
+                    job_item=job_item,
+                    job=job,
+                    new_status="failed",
+                    old_status=old_status,
+                    error_code="unexpected_error",
+                    error_message="An unexpected error occurred during processing.",
+                )
+                await _update_job_completion(session, job=job)
+                await session.commit()
+        except Exception:
+            pass
+        raise
+
+    finally:
+        # Always release cache pin regardless of outcome (T-14-12)
+        if cache_pinned and cache_entry_id is not None:
+            try:
+                from services.cloud_cache import release_cache_entry
+                await release_cache_entry(session, entry_id=cache_entry_id, user_id=uid)
+                await session.commit()
+            except Exception:
+                pass  # Pin release failure must not mask the original result
+
+
+# ── Classification helper ─────────────────────────────────────────────────────
+
+class _ClassificationError(Exception):
+    """Sentinel for retryable classification failures — escapes asyncio.run()."""
+
+
+async def _classify_cloud_item(
+    session: AsyncSession,
+    *,
+    cloud_item: CloudItem,
+) -> list[str]:
+    """Classify a CloudItem using the AI provider pipeline.
+
+    Adapted from services.classifier.classify_document but targets CloudItem
+    directly — no Document row created or required.
+
+    Returns the list of assigned topic names.
+    """
+    from db.models import User, Topic, CloudItemTopic
+    from sqlalchemy import select as sa_select
+    from services import storage as doc_storage
+    from services.ai_config import load_provider_config
+    from ai import get_provider
+    from ai.provider_config import ProviderConfig, PROVIDER_DEFAULTS
+    from config import settings as app_settings
+
+    _DEFAULT_SYSTEM_PROMPT = (
+        "You are a document classification assistant. When given a document's text "
+        "content and a list of existing topics, you must:\n"
+        "1. Assign the document to one or more relevant topics from the list.\n"
+        "2. If no existing topics fit well, suggest new topic names.\n"
+        "Return ONLY valid JSON in this exact format, with no additional text or "
+        'explanation:\n{"assigned_topics": ["topic1"], "new_topic_suggestions": '
+        '["new topic name"]}\n'
+        "If the document fits no topics and you have no suggestions, return: "
+        '{"assigned_topics": [], "new_topic_suggestions": []}'
+    )
+
+    if not cloud_item.extracted_text:
+        # Nothing to classify — skip silently
+        return []
+
+    # Load user AI preferences
+    user_result = await session.execute(
+        sa_select(User).where(User.id == cloud_item.user_id)
+    )
+    user = user_result.scalars().first()
+
+    ai_provider = (user.ai_provider if user else None)
+    ai_model = (user.ai_model if user else None)
+
+    # Resolve provider config (same as classifier.classify_document)
+    if ai_provider is not None:
+        config = ProviderConfig(
+            provider_id=ai_provider,
+            model=ai_model or PROVIDER_DEFAULTS.get(ai_provider, {}).get("model", ""),
+            api_key="",
+            base_url=None,
+            context_chars=PROVIDER_DEFAULTS.get(ai_provider, {}).get("context_chars", 8000),
+        )
+    else:
+        config = await load_provider_config(session)
+        if config is None:
+            fallback_provider = app_settings.default_ai_provider
+            config = ProviderConfig(
+                provider_id=fallback_provider,
+                model=app_settings.default_ai_model,
+                api_key="",
+                base_url=None,
+                context_chars=PROVIDER_DEFAULTS.get(fallback_provider, {}).get(
+                    "context_chars", 8000
+                ),
+            )
+
+    provider = get_provider(config)
+    system_prompt = app_settings.system_prompt or _DEFAULT_SYSTEM_PROMPT
+
+    # Load user's topics for namespace-scoped classification (D-17)
+    topics_data = await doc_storage.load_topics_for_user(
+        session, user_id=cloud_item.user_id
+    )
+    topic_names = [t["name"] for t in topics_data]
+
+    result = await provider.classify(
+        cloud_item.extracted_text, topic_names, system_prompt
+    )
+
+    # Auto-create suggested topics in the user's namespace (D-11)
+    existing_names = {t.lower() for t in topic_names}
+    all_new_names = set(result.suggested_new_topics) | set(result.topics)
+    for name in all_new_names:
+        if name.strip() and name.lower() not in existing_names:
+            await doc_storage.create_topic(
+                session, name.strip(), user_id=cloud_item.user_id
+            )
+            existing_names.add(name.lower())
+
+    # Build the final topic list
+    final_topics = [
+        t for t in list(set(result.topics + result.suggested_new_topics))
+        if t.strip()
+    ]
+
+    # Associate topics with the CloudItem (not Document)
+    if final_topics:
+        # Fetch or create Topic rows
+        topic_rows_result = await session.execute(
+            sa_select(Topic).where(
+                Topic.name.in_(final_topics),
+                Topic.user_id == cloud_item.user_id,
+            )
+        )
+        topic_rows = topic_rows_result.scalars().all()
+        existing_topic_map = {t.name.lower(): t for t in topic_rows}
+
+        now = datetime.now(timezone.utc)
+        for topic_name in final_topics:
+            topic_row = existing_topic_map.get(topic_name.lower())
+            if topic_row is None:
+                continue  # create_topic should have created it above
+
+            # Upsert CloudItemTopic association
+            existing_assoc = await session.execute(
+                sa_select(CloudItemTopic).where(
+                    CloudItemTopic.cloud_item_id == cloud_item.id,
+                    CloudItemTopic.topic_id == topic_row.id,
+                )
+            )
+            if existing_assoc.scalars().first() is None:
+                assoc = CloudItemTopic(
+                    cloud_item_id=cloud_item.id,
+                    topic_id=topic_row.id,
+                )
+                session.add(assoc)
+
+        await session.flush()
+
+    return final_topics
+
+
+# ── Provider download helper ──────────────────────────────────────────────────
+
+async def _download_from_provider(adapter, provider_item_id: str) -> bytes:
+    """Retrieve raw bytes for a cloud item.
+
+    Uses the content-read adapter path only. Mutation methods are never called.
+    The adapter interface is whatever the caller passes — test fakes and real
+    adapters are both accepted.
+
+    Args:
+        adapter:           Provider adapter with a get_object(item_id) coroutine.
+        provider_item_id:  Provider-native item identifier.
+
+    Returns:
+        Raw file bytes.
+
+    Raises:
+        Exception: Propagated from the adapter on failure.
+    """
+    return await adapter.get_object(provider_item_id)
+
+
+# ── Extension helper ──────────────────────────────────────────────────────────
+
+def _ext_from_content_type(content_type: Optional[str]) -> str:
+    """Return a file extension for caching MinIO objects."""
+    mapping = {
+        "application/pdf": ".pdf",
+        "application/msword": ".doc",
+        "application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx",
+        "text/plain": ".txt",
+        "text/markdown": ".md",
+        "image/png": ".png",
+        "image/jpeg": ".jpg",
+        "image/gif": ".gif",
+        "image/webp": ".webp",
+        "image/tiff": ".tiff",
+    }
+    return mapping.get(content_type or "", ".bin")