feat(library-desk): add ingestion models for page processing

- Add IngestionResult model for single page ingestion
- Add BatchIngestionResult for batch operations
- Track vector chunks, graph entities, and relationships
- Include processing time metrics

Used by ingestion_service for page indexing

services/library-desk/src/models/ingestion.py

@@ -0,0 +1,67 @@
+"""
+Pydantic models for Document Ingestion system.
+"""
+from pydantic import BaseModel, Field
+from typing import Optional, List, Dict, Any
+from datetime import datetime
+
+
+class IngestionRequest(BaseModel):
+    """Request to ingest a wiki page."""
+    page_id: int = Field(..., description="Wiki page ID to ingest")
+    user: str = Field(default="jpmschweitzer", description="User identifier")
+    force_refresh: bool = Field(
+        default=False,
+        description="Force re-ingestion even if page hasn't changed"
+    )
+    skip_vectors: bool = Field(default=False, description="Skip vector embedding generation")
+    skip_graph: bool = Field(default=False, description="Skip graph entity extraction")
+
+
+class BatchIngestionRequest(BaseModel):
+    """Request to ingest multiple wiki pages."""
+    page_ids: List[int] = Field(..., description="List of wiki page IDs to ingest")
+    user: str = Field(default="jpmschweitzer", description="User identifier")
+    force_refresh: bool = Field(default=False)
+    skip_vectors: bool = Field(default=False)
+    skip_graph: bool = Field(default=False)
+    max_concurrent: int = Field(
+        default=3,
+        ge=1,
+        le=10,
+        description="Maximum concurrent ingestion tasks"
+    )
+
+
+class IngestionResult(BaseModel):
+    """Result of a single page ingestion."""
+    page_id: int
+    page_title: str
+    page_path: Optional[str] = None
+    success: bool
+    error: Optional[str] = None
+    vector_chunks_created: int = 0
+    graph_entities_extracted: int = 0
+    graph_relationships_created: int = 0
+    processing_time_ms: float
+
+
+class BatchIngestionResult(BaseModel):
+    """Result of batch ingestion."""
+    total_pages: int
+    successful: int
+    failed: int
+    results: List[IngestionResult]
+    total_processing_time_ms: float
+
+
+class IngestionStatus(BaseModel):
+    """Status of an ingestion job."""
+    job_id: str
+    status: str  # "queued", "processing", "completed", "failed"
+    progress: int  # 0-100
+    page_id: Optional[int] = None
+    result: Optional[IngestionResult] = None
+    created_at: datetime
+    started_at: Optional[datetime] = None
+    completed_at: Optional[datetime] = None