search object data model

src/semeion/models/semeionArtifact.py

@@ -167,6 +167,8 @@ class SemeionArtifact(BaseModel):
             "title": "string | null"
         } | null,
         "source_specific": {} | null,
+        "marked_interesting": "bool",
+        "marked_not_interesting": "bool",
         "ingestion": {
             "ingested_at": "string (ISO8601)",
             "source_file": "string",
@@ -176,7 +178,7 @@ class SemeionArtifact(BaseModel):
     }
     """
     
-    _schema_version: str = "1.1.0"
+    _schema_version: str = "1.1.1"
     id: UUID = Field(description="deterministic UUID v5 based on case_id, source_file, and unique key")
     case_id: str = Field(description="case identifier this artifact belongs to")
     searchable: bool = Field(description="searchable or only for timeline context")
@@ -192,6 +194,8 @@ class SemeionArtifact(BaseModel):
     context_group: ContextGroup | None = Field(default=None, description="a parameter which provides information for semantically linked artifacts, e.g., email threads, browser sessions, etc.")
     location: Location | None = Field(default=None, description="information about where the artifact was located, e.g., file path, URL, host, etc.")
     source_specific: source_specific_models | None = Field(default=None, description="source-specific metadata for the artifact")
+    marked_interesting: bool = Field(description="user feedback flag marking this artifact as interesting")
+    marked_not_interesting: bool = Field(description="user feedback flag marking this artifact as not interesting")
     ingestion: Ingestion = Field(description="metadata about the ingestion process")
 
     class Config:

src/semeion/models/semeionSearchObject.py

@@ -14,6 +14,35 @@ from uuid import UUID
 
 from pydantic import BaseModel, Field
 
+class Filters(BaseModel):
+    """
+    filters which can be applied to the search query to limit the search space.
+    all filters are optional and can be combined.
+    """
+    case_ids: list[str] | None = Field(default=None, description="list of case IDs to limit the search to")
+    artifact_classes: list[str] | None = Field(default=None, description="list of artifact classes to limit the search to")
+    source_platforms: list[str] | None = Field(default=None, description="list of source platforms to limit the search to")
+    actor_identifiers: list[str] | None = Field(default=None, description="list of actor identifiers to limit the search to")
+    indexed_entities_any: list[str] | None = Field(default=None, description="list of indexed entities, any of which must be present in the artifact")
+    time_after: datetime | None = Field(default=None, description="only return artifacts after this timestamp (inclusive)")
+    time_before: datetime | None = Field(default=None, description="only return artifacts before this timestamp (inclusive)")
+    context_group_ids: list[str] | None = Field(default=None, description="list of context group IDs to limit the search to")
+    hosts: list[str] | None = Field(default=None, description="list of hostnames or IPs to limit the search to")
+    
+class Options(BaseModel):
+    """
+    options to modify the search behavior.
+    """
+    limit: int = Field(default=100, description="maximum number of search results to return")
+    min_score: float | None = Field(default=None, description="minimum similarity score threshold for returned results")
+    use_hybrid: bool = Field(default=False, description="whether to use hybrid search (semantic dense vectors + keyword (sparse vectors)")
+
+class Interpretation(BaseModel):
+    """
+    this data structure holds information about how the semantic query was interpreted by the generative LLM
+    """
+    original_query: str = Field(description="the original user query before any modifications or interpretations")
+    notes: list[str] = Field(default=[], description="any notes or clarifications made by the LLM regarding the query interpretation")
 
 class SemeionSearchObject(BaseModel):
     """
@@ -48,11 +77,16 @@ class SemeionSearchObject(BaseModel):
     
     "interpretation": {
         "original_query": "string",
-        "notes": ["string"],
+        "notes": ["string"]
-        "confidence": "float"
         }
     }
     """
-    pass
+    _schema_version: str = "1.1.0"
+    query_id: UUID = Field(description="UUID v4 identifying this search query")
+    created_at: datetime = Field(description="timestamp when the search query was created for audit")
+    semantic_query: str = Field(description="the search string which gets embedded and used for semantic search")
+    filters: Filters = Field(description="filters to limit the search space")
+    options: Options = Field(description="options to modify the search behavior")
+    interpretation: Interpretation = Field(description="information about how the semantic query was interpreted by the generative LLM")