Refine event types and update related models and logic

Standardized event types with stricter validation using `Literal`. Adjusted related data and logic to align with new types, including changes to PGROUP assignments, event timeline increments, and schema updates. Cleaned up unused code and clarified database initialization behavior.

backend/app/schemas.py

@@ -1,4 +1,4 @@
-from typing import List, Optional, Union
+from typing import List, Optional, Union, Literal
 from datetime import datetime
 from pydantic import BaseModel, EmailStr, constr, Field, field_validator
 from datetime import date
@@ -349,13 +349,24 @@ class DataCollectionParameters(BaseModel):
 
 
 class SampleEventCreate(BaseModel):
-    event_type: str
+    event_type: Literal[
+        "Mounting", "Centering", "Failed", "Lost", "Collecting", "Unmounting"
+    ]
+    # event_type: str
+    # Validate event_type against accepted event types
+    # @field_validator("event_type", mode="before")
+    # def validate_event_type(cls, value):
+    #    allowed = {"Mounting", "Centering", "Failed",
+    #    "Lost", "Collecting", "Unmounting"}
+    #    if value not in allowed:
+    #        raise ValueError(f"Invalid event_type: {value}.
+    #        Accepted values are: {allowed}")
+    #    return value
 
 
-class SampleEventResponse(BaseModel):
+class SampleEventResponse(SampleEventCreate):
     id: int
     sample_id: int
-    event_type: str
     timestamp: datetime
 
     class Config:
@@ -791,6 +802,7 @@ class Beamtime(BaseModel):
 class ImageCreate(BaseModel):
     pgroup: str
     sample_id: int
+    sample_event_id: int
     filepath: str
     status: str = "active"
     comment: Optional[str] = None
@@ -906,3 +918,19 @@ class SampleResult(BaseModel):
     dewar_name: Optional[str]
     images: List[ImageInfo]
     experiment_runs: Optional[List[ExperimentParametersRead]] = []
+
+
+class ResultCreate(BaseModel):
+    sample_id: int
+    result_id: int
+    result: Optional[dict]
+
+
+class ResultResponse(BaseModel):
+    id: int
+    sample_id: int
+    result_id: int
+    result: Optional[dict]
+
+    class Config:
+        from_attributes = True