refactor(api): type Document.to_dict with DocumentDict TypedDict (#34924)

Co-authored-by: bittoby <bittoby@users.noreply.github.com>

api/models/dataset.py

@@ -108,6 +108,56 @@ class ExternalKnowledgeApiDict(TypedDict):
     created_at: str
 
 
+class DocumentDict(TypedDict):
+    id: str
+    tenant_id: str
+    dataset_id: str
+    position: int
+    data_source_type: str
+    data_source_info: str | None
+    dataset_process_rule_id: str | None
+    batch: str
+    name: str
+    created_from: str
+    created_by: str
+    created_api_request_id: str | None
+    created_at: datetime
+    processing_started_at: datetime | None
+    file_id: str | None
+    word_count: int | None
+    parsing_completed_at: datetime | None
+    cleaning_completed_at: datetime | None
+    splitting_completed_at: datetime | None
+    tokens: int | None
+    indexing_latency: float | None
+    completed_at: datetime | None
+    is_paused: bool | None
+    paused_by: str | None
+    paused_at: datetime | None
+    error: str | None
+    stopped_at: datetime | None
+    indexing_status: str
+    enabled: bool
+    disabled_at: datetime | None
+    disabled_by: str | None
+    archived: bool
+    archived_reason: str | None
+    archived_by: str | None
+    archived_at: datetime | None
+    updated_at: datetime
+    doc_type: str | None
+    doc_metadata: Any
+    doc_form: IndexStructureType
+    doc_language: str | None
+    display_status: str | None
+    data_source_info_dict: dict[str, Any]
+    average_segment_length: int
+    dataset_process_rule: ProcessRuleDict | None
+    dataset: None
+    segment_count: int | None
+    hit_count: int | None
+
+
 class DatasetPermissionEnum(enum.StrEnum):
     ONLY_ME = "only_me"
     ALL_TEAM = "all_team_members"
@@ -675,8 +725,8 @@ class Document(Base):
         )
         return built_in_fields
 
-    def to_dict(self) -> dict[str, Any]:
-        return {
+    def to_dict(self) -> DocumentDict:
+        result: DocumentDict = {
             "id": self.id,
             "tenant_id": self.tenant_id,
             "dataset_id": self.dataset_id,
@@ -721,10 +771,11 @@ class Document(Base):
             "data_source_info_dict": self.data_source_info_dict,
             "average_segment_length": self.average_segment_length,
             "dataset_process_rule": self.dataset_process_rule.to_dict() if self.dataset_process_rule else None,
-            "dataset": None,  # Dataset class doesn't have a to_dict method
+            "dataset": None,
             "segment_count": self.segment_count,
             "hit_count": self.hit_count,
         }
+        return result
 
     @classmethod
     def from_dict(cls, data: dict[str, Any]):