refactor: update researcher API endpoints to include batch search and statistics functionality

- Removed deprecated search logic and replaced it with a new structure for handling researcher statistics.
- Introduced new schemas for batch search requests and responses.
- Enhanced the search endpoint to return publication statistics alongside researcher data.
- Updated docker-compose file to remove unnecessary versioning.

backend/app/schema/researcher.py

@@ -1,6 +1,6 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from uuid import UUID
-from typing import Optional, List
+from typing import Optional, List, Dict
 from datetime import datetime
 from app.schema.publication import PublicationSchema
 
@@ -14,14 +14,35 @@ class ResearcherSchema(BaseModel):
     model_config = {"from_attributes": True}
 
 
+class ResearcherStatsSchema(BaseModel):
+    total_publications: int
+    publication_types: Dict[str, int]
+
+
 class ResearcherWithPublicationsSchema(BaseModel):
     researcher: ResearcherSchema
     publications: List[PublicationSchema]
+    stats: ResearcherStatsSchema
 
-    # NUEVOS CAMPOS
     new_records: int
     updated_records: int
     unchanged_records: int
     total_records: int
 
     model_config = {"from_attributes": True}
+
+
+class ResearcherBatchSearchRequestSchema(BaseModel):
+    orcid_ids: List[str] = Field(min_length=1)
+
+
+class ResearcherSearchErrorSchema(BaseModel):
+    orcid_id: str
+    detail: str
+
+
+class ResearcherBatchSearchResponseSchema(BaseModel):
+    results: List[ResearcherWithPublicationsSchema]
+    errors: List[ResearcherSearchErrorSchema]
+    total_requested: int
+    total_processed: int