From 7929061adbf021059869c1ffd38e9b5afc25c90e Mon Sep 17 00:00:00 2001 From: Jason Wang Date: Tue, 3 Mar 2026 10:01:39 +0800 Subject: [PATCH] fix: Fix the sync issue between DataMate & LabelStudio; Fix the tag update issue in DataMate --- .../app/module/annotation/interface/auto.py | 56 +- .../module/annotation/interface/project.py | 38 +- .../app/module/annotation/interface/task.py | 18 +- .../annotation/service/ls_annotation_sync.py | 16 +- .../app/module/annotation/service/sync.py | 243 +- .../module/annotation/utils/tag_converter.py | 7 +- .../annotation/utils/test_tag_converter.py | 10 +- .../app/module/dataset/schema/dataset_file.py | 15 +- .../app/module/dataset/service/service.py | 141 +- runtime/datamate-python/uv.lock | 3542 +++++++++++++++++ 10 files changed, 4023 insertions(+), 63 deletions(-) create mode 100644 runtime/datamate-python/uv.lock diff --git a/runtime/datamate-python/app/module/annotation/interface/auto.py b/runtime/datamate-python/app/module/annotation/interface/auto.py index e4a7fc07f..b88ab376c 100644 --- a/runtime/datamate-python/app/module/annotation/interface/auto.py +++ b/runtime/datamate-python/app/module/annotation/interface/auto.py @@ -1202,9 +1202,9 @@ async def sync_auto_task_annotations_to_database( 行为： - 根据自动标注任务找到或创建对应的 Label Studio 项目（与 /sync-label-studio-back 相同的解析逻辑）； - - 遍历项目下所有 task，按 task.data.file_id 定位 t_dm_dataset_files 记录； - - 把 annotations + predictions 写入 annotation 字段，并抽取标签写入 tags，更新 tags_updated_at。 - 返回成功更新的文件数量。 + - 先执行 DM -> Label Studio 的文件差异同步（确保任务文件集合最新）； + - 再执行双向标签同步（LS <-> DM），按时间戳保留较新标注。 + 返回同步变更数量（LS->DM + DM->LS）。 """ # 1. 获取并校验自动标注任务 @@ -1217,16 +1217,19 @@ async def sync_auto_task_annotations_to_database( mappings = await mapping_service.get_mappings_by_dataset_id(task.dataset_id) project_id: Optional[str] = None + selected_mapping = None for m in mappings: cfg = getattr(m, "configuration", None) or {} if isinstance(cfg, dict) and cfg.get("autoTaskId") == task.id: project_id = str(m.labeling_project_id) + selected_mapping = m break if project_id is None: for m in mappings: if m.name == task.name: project_id = str(m.labeling_project_id) + selected_mapping = m break if project_id is None: @@ -1263,13 +1266,52 @@ async def sync_auto_task_annotations_to_database( ), ) - # 3. 调用通用的 LS -> DM 同步服务 + selected_mapping = await mapping_service.get_mapping_by_labeling_project_id(project_id) + + if selected_mapping is None and project_id is not None: + selected_mapping = await mapping_service.get_mapping_by_labeling_project_id(project_id) + + if selected_mapping is None: + raise HTTPException( + status_code=500, + detail="Failed to resolve mapping for auto task when syncing files to Label Studio.", + ) + ls_client = LabelStudioClient( base_url=settings.label_studio_base_url, token=settings.label_studio_user_token, ) - sync_service = LSAnnotationSyncService(db, ls_client) - updated = await sync_service.sync_project_annotations_to_dm(project_id=str(project_id)) + # 3. 先执行文件差异同步，确保 LS 工程任务集合与当前自动标注任务文件集合一致 + dm_client = DatasetManagementService(db) + sync_orchestrator = SyncService(dm_client, ls_client, mapping_service) + + allowed_file_ids = None + if task.file_ids: + allowed_file_ids = {str(fid) for fid in task.file_ids} + + file_sync_result = await sync_orchestrator.sync_files( + selected_mapping, + batch_size=50, + allowed_file_ids=allowed_file_ids, + delete_orphans=True, + ) + logger.info( + "Auto sync-db pre file-sync done: task_id=%s, created=%s, deleted=%s, total=%s", + task_id, + file_sync_result.get("created", 0), + file_sync_result.get("deleted", 0), + file_sync_result.get("total", 0), + ) + + # 4. 执行双向标签同步（基于时间戳决策覆盖） + annotation_sync_result = await sync_orchestrator.sync_annotations_bidirectional( + selected_mapping, + batch_size=50, + overwrite=True, + overwrite_ls=True, + sync_files_first=False, + ) - return StandardResponse(code="0", message="success", data=updated) + total_synced = annotation_sync_result.synced_to_dm + annotation_sync_result.synced_to_ls + return StandardResponse(code="0", message="success", data=total_synced) diff --git a/runtime/datamate-python/app/module/annotation/interface/project.py b/runtime/datamate-python/app/module/annotation/interface/project.py index 09f86efad..d6741f304 100644 --- a/runtime/datamate-python/app/module/annotation/interface/project.py +++ b/runtime/datamate-python/app/module/annotation/interface/project.py @@ -612,14 +612,13 @@ async def sync_manual_annotations_to_database( ): """从 Label Studio 项目同步当前手动标注结果到 DM 数据库。 - 行为： - - 基于 mapping_id 定位 Label Studio 项目； - - 遍历项目下所有 task，按 task.data.file_id 找到对应 t_dm_dataset_files 记录； - - 读取每个 task 的 annotations + predictions，写入： - * tags: 从 result 中提取的标签概要，供 DM 列表/预览展示； - * annotation: 完整原始 JSON 结果； - * tags_updated_at: 当前时间戳。 - 返回值为成功更新的文件数量。 + 行为： + - 基于 mapping_id 定位 Label Studio 项目； + - 先执行 DM -> Label Studio 的文件差异同步（增量创建新文件任务、删除孤儿任务）； + - 再执行双向标签同步（LS <-> DM），按时间戳保留较新标注： + * LS 更新时间更新 -> 覆盖 DM； + * DM tags_updated_at 更新 -> 覆盖 LS。 + 返回值为同步变更数量（LS->DM + DM->LS）。 """ mapping_service = DatasetMappingService(db) @@ -631,13 +630,28 @@ async def sync_manual_annotations_to_database( base_url=settings.label_studio_base_url, token=settings.label_studio_user_token, ) - sync_service = LSAnnotationSyncService(db, ls_client) - updated = await sync_service.sync_project_annotations_to_dm( - project_id=str(mapping.labeling_project_id), + dm_client = DatasetManagementService(db) + sync_orchestrator = SyncService(dm_client, ls_client, mapping_service) + file_sync_result = await sync_orchestrator.sync_files(mapping, batch_size=50) + logger.info( + "Manual sync-db pre file-sync done: mapping=%s, created=%s, deleted=%s, total=%s", + mapping_id, + file_sync_result.get("created", 0), + file_sync_result.get("deleted", 0), + file_sync_result.get("total", 0), + ) + + annotation_sync_result = await sync_orchestrator.sync_annotations_bidirectional( + mapping, + batch_size=50, + overwrite=True, + overwrite_ls=True, + sync_files_first=False, ) - return StandardResponse(code="0", message="success", data=updated) + total_synced = annotation_sync_result.synced_to_dm + annotation_sync_result.synced_to_ls + return StandardResponse(code="0", message="success", data=total_synced) @router.get("", response_model=StandardResponse[PaginatedData[DatasetMappingResponse]]) async def list_mappings( diff --git a/runtime/datamate-python/app/module/annotation/interface/task.py b/runtime/datamate-python/app/module/annotation/interface/task.py index 99639147f..57aeb5066 100644 --- a/runtime/datamate-python/app/module/annotation/interface/task.py +++ b/runtime/datamate-python/app/module/annotation/interface/task.py @@ -72,20 +72,23 @@ async def sync_dataset_content( await sync_service.sync_annotations_from_ls_to_dm( mapping, request.batch_size, - request.overwrite + request.overwrite, + sync_files_first=False, ) elif request.annotation_direction == "dm_to_ls": await sync_service.sync_annotations_from_dm_to_ls( mapping, request.batch_size, - request.overwrite_labeling_project + request.overwrite_labeling_project, + sync_files_first=False, ) elif request.annotation_direction == "bidirectional": await sync_service.sync_annotations_bidirectional( mapping, request.batch_size, request.overwrite, - request.overwrite_labeling_project + request.overwrite_labeling_project, + sync_files_first=False, ) logger.info(f"Sync completed: {result.synced_files}/{result.total_files} files") @@ -139,20 +142,23 @@ async def sync_annotations( result = await sync_service.sync_annotations_from_ls_to_dm( mapping, request.batch_size, - request.overwrite + request.overwrite, + sync_files_first=True, ) elif request.direction == "dm_to_ls": result = await sync_service.sync_annotations_from_dm_to_ls( mapping, request.batch_size, - request.overwrite_labeling_project + request.overwrite_labeling_project, + sync_files_first=True, ) elif request.direction == "bidirectional": result = await sync_service.sync_annotations_bidirectional( mapping, request.batch_size, request.overwrite, - request.overwrite_labeling_project + request.overwrite_labeling_project, + sync_files_first=True, ) else: raise HTTPException( diff --git a/runtime/datamate-python/app/module/annotation/service/ls_annotation_sync.py b/runtime/datamate-python/app/module/annotation/service/ls_annotation_sync.py index 519f1a774..e9ee44774 100644 --- a/runtime/datamate-python/app/module/annotation/service/ls_annotation_sync.py +++ b/runtime/datamate-python/app/module/annotation/service/ls_annotation_sync.py @@ -194,7 +194,11 @@ def iter_results() -> List[Dict[str, Any]]: for r in results: r_type = r.get("type") + if isinstance(r_type, str): + r_type = r_type.strip().lower() + from_name = r.get("from_name") or r.get("fromName") + to_name = r.get("to_name") or r.get("toName") value_obj = r.get("value") or {} if not isinstance(value_obj, dict): continue @@ -202,12 +206,22 @@ def iter_results() -> List[Dict[str, Any]]: # 将 Label Studio 的 value 映射为 values，方便前端统一解析 values: Dict[str, Any] = {} for key, v in value_obj.items(): - values[key] = v + normalized_key = str(key).strip().lower() if key is not None else "" + if normalized_key: + values[normalized_key] = v + + if isinstance(r_type, str) and r_type: + if r_type in values: + values = {r_type: values[r_type]} + elif len(values) == 1: + only_value = next(iter(values.values())) + values = {r_type: only_value} tag = { "id": r.get("id"), "type": r_type, "from_name": from_name, + "to_name": to_name, "values": values, } normalized.append(tag) diff --git a/runtime/datamate-python/app/module/annotation/service/sync.py b/runtime/datamate-python/app/module/annotation/service/sync.py index 2660fd1e4..e5717c96e 100644 --- a/runtime/datamate-python/app/module/annotation/service/sync.py +++ b/runtime/datamate-python/app/module/annotation/service/sync.py @@ -1,4 +1,5 @@ from typing import Optional, List, Dict, Any, Tuple, Set +import json import os from app.module.dataset import DatasetManagementService @@ -50,6 +51,66 @@ def _determine_data_type(self, file_type: str) -> str: return data_type return 'image' # 默认为图像类型 + + @staticmethod + def _normalize_ls_result_for_compare(result_items: List[Dict[str, Any]]) -> List[Dict[str, Any]]: + """Normalize LS result items for deterministic comparison.""" + normalized: List[Dict[str, Any]] = [] + + for item in result_items or []: + if not isinstance(item, dict): + continue + + from_name = item.get("from_name") or item.get("fromName") or "" + to_name = item.get("to_name") or item.get("toName") or "" + type_name = item.get("type") or "" + if not isinstance(from_name, str): + from_name = str(from_name) + if not isinstance(to_name, str): + to_name = str(to_name) + if not isinstance(type_name, str): + type_name = str(type_name) + + value_obj: Dict[str, Any] = {} + raw_value_obj = item.get("value") + if isinstance(raw_value_obj, dict): + value_obj = raw_value_obj + else: + raw_values_obj = item.get("values") + if isinstance(raw_values_obj, dict): + value_obj = raw_values_obj + + normalized_value: Dict[str, Any] = {} + for value_key, value_content in value_obj.items(): + key_str = str(value_key).strip().lower() if value_key is not None else "" + if key_str: + normalized_value[key_str] = value_content + + normalized.append( + { + "from_name": from_name.strip(), + "to_name": to_name.strip(), + "type": type_name.strip().lower(), + "value": normalized_value, + } + ) + + normalized.sort( + key=lambda item: ( + item.get("from_name", ""), + item.get("to_name", ""), + item.get("type", ""), + json.dumps(item.get("value", {}), sort_keys=True, ensure_ascii=False), + ) + ) + return normalized + + def _ls_result_payload_equal( + self, + left: List[Dict[str, Any]], + right: List[Dict[str, Any]], + ) -> bool: + return self._normalize_ls_result_for_compare(left) == self._normalize_ls_result_for_compare(right) def _build_task_data(self, file_info: Any, dataset_id: str) -> dict: """构建Label Studio任务数据""" @@ -475,11 +536,32 @@ def _simplify_annotation_result(self, annotation: Dict[str, Any]) -> Tuple[List[ updated_at = annotation.get("updated_at") or annotation.get("created_at", "") for result_item in results: + result_type = result_item.get("type", "") + if isinstance(result_type, str): + result_type = result_type.strip().lower() + else: + result_type = str(result_type).strip().lower() if result_type is not None else "" + + raw_value = result_item.get("value", {}) + normalized_values: Dict[str, Any] = {} + if isinstance(raw_value, dict): + for value_key, value_content in raw_value.items(): + key_str = str(value_key).strip().lower() if value_key is not None else "" + if key_str: + normalized_values[key_str] = value_content + + if result_type: + if result_type in normalized_values: + normalized_values = {result_type: normalized_values[result_type]} + elif len(normalized_values) == 1: + only_value = next(iter(normalized_values.values())) + normalized_values = {result_type: only_value} + simplified_item = { "from_name": result_item.get("from_name", ""), "to_name": result_item.get("to_name", ""), - "type": result_item.get("type", ""), - "values": result_item.get("value", {}) + "type": result_type, + "values": normalized_values } simplified.append(simplified_item) @@ -575,7 +657,8 @@ async def sync_annotations_from_ls_to_dm( self, mapping: DatasetMappingResponse, batch_size: int = 50, - overwrite: bool = True + overwrite: bool = True, + sync_files_first: bool = True, ) -> SyncAnnotationsResponse: """ 从Label Studio同步标注到数据集 @@ -596,6 +679,16 @@ async def sync_annotations_from_ls_to_dm( conflicts_resolved = 0 try: + # 先做文件差异同步，保证 LS 任务集合与 DM 文件集合一致 + if sync_files_first: + file_sync_result = await self.sync_files(mapping, batch_size) + logger.info( + "Pre-annotation file sync done (LS->DM): created=%s, deleted=%s, total=%s", + file_sync_result.get("created", 0), + file_sync_result.get("deleted", 0), + file_sync_result.get("total", 0), + ) + # 获取Label Studio中的所有任务 ls_tasks_result = await self.ls_client.get_project_tasks( mapping.labeling_project_id, @@ -689,7 +782,13 @@ async def sync_annotations_from_ls_to_dm( dm_tags_updated_at = file_record.tags_updated_at.isoformat() # type: ignore if not self._should_overwrite_dm(ls_updated_at, dm_tags_updated_at, overwrite): - logger.debug(f"File {file_id}: DataMate has newer or equal annotations, skipping (overwrite={overwrite})") + logger.debug( + "File %s: DataMate has newer or equal annotations, skipping (overwrite=%s, ls_updated_at=%s, dm_tags_updated_at=%s)", + file_id, + overwrite, + ls_updated_at, + dm_tags_updated_at, + ) skipped_count += 1 continue @@ -752,7 +851,8 @@ async def sync_annotations_from_dm_to_ls( self, mapping: DatasetMappingResponse, batch_size: int = 50, - overwrite_ls: bool = True + overwrite_ls: bool = True, + sync_files_first: bool = True, ) -> SyncAnnotationsResponse: """ 从DataMate数据集同步标注到Label Studio @@ -773,6 +873,16 @@ async def sync_annotations_from_dm_to_ls( conflicts_resolved = 0 try: + # 先做文件差异同步，保证 LS 任务集合与 DM 文件集合一致 + if sync_files_first: + file_sync_result = await self.sync_files(mapping, batch_size) + logger.info( + "Pre-annotation file sync done (DM->LS): created=%s, deleted=%s, total=%s", + file_sync_result.get("created", 0), + file_sync_result.get("deleted", 0), + file_sync_result.get("total", 0), + ) + # 获取Label Studio中的文件ID到任务ID的映射 dm_file_to_task_mapping = await self.get_existing_dm_file_mapping(mapping.labeling_project_id) @@ -846,26 +956,112 @@ async def sync_annotations_from_dm_to_ls( ls_updated_at = latest_ls_annotation.get("updated_at") or latest_ls_annotation.get("created_at", "") # 检查是否应该覆盖Label Studio的标注 - if not self._should_overwrite_ls(dm_tags_updated_at, ls_updated_at, overwrite_ls): - logger.debug(f"Task {task_id}: Label Studio has newer or equal annotations, skipping (overwrite_ls={overwrite_ls})") - skipped_count += 1 - continue + should_overwrite_ls = self._should_overwrite_ls(dm_tags_updated_at, ls_updated_at, overwrite_ls) + + if not should_overwrite_ls: + forced_on_equal_ts = False + if ( + overwrite_ls + and dm_tags_updated_at + and ls_updated_at + and self._compare_timestamps(dm_tags_updated_at, ls_updated_at) == 0 + and ls_annotations + ): + latest_ls_result_payload = latest_ls_annotation.get("result", []) if latest_ls_annotation else [] + if not self._ls_result_payload_equal(ls_result, latest_ls_result_payload): + forced_on_equal_ts = True + logger.info( + "Task %s: timestamps are equal but payload differs, force syncing DM -> LS", + task_id, + ) + + if not forced_on_equal_ts: + logger.debug( + "Task %s: Label Studio has newer or equal annotations, skipping (overwrite_ls=%s, dm_tags_updated_at=%s, ls_updated_at=%s)", + task_id, + overwrite_ls, + dm_tags_updated_at, + ls_updated_at, + ) + skipped_count += 1 + continue # 如果存在冲突，记录为冲突解决 if ls_annotations and dm_tags: conflicts_resolved += 1 logger.debug(f"Task {task_id}: Resolved conflict, DataMate annotation is newer") - # 将DataMate的标注转换为Label Studio格式 + # 将DataMate的标注转换为Label Studio格式（兼容 value/values 与大小写差异） ls_result = [] for tag in dm_tags: + if not isinstance(tag, dict): + continue + + from_name = tag.get("from_name") or tag.get("fromName") or "" + to_name = tag.get("to_name") or tag.get("toName") or "" + if not isinstance(from_name, str): + from_name = str(from_name) + if not isinstance(to_name, str): + to_name = str(to_name) + from_name = from_name.strip() + to_name = to_name.strip() + + if not from_name or not to_name: + logger.warning( + "Skip invalid DM tag for LS sync due to missing from_name/to_name: %s", + tag, + ) + continue + + raw_type = tag.get("type", "") + if not isinstance(raw_type, str): + raw_type = str(raw_type) if raw_type is not None else "" + normalized_type = raw_type.strip().lower() + + raw_values = tag.get("values") + if not isinstance(raw_values, dict): + raw_values = tag.get("value") + + normalized_value: Dict[str, Any] = {} + + if isinstance(raw_values, dict): + for value_key, value_content in raw_values.items(): + key_str = str(value_key).strip().lower() if value_key is not None else "" + if key_str: + normalized_value[key_str] = value_content + + if not normalized_type and len(normalized_value) == 1: + normalized_type = next(iter(normalized_value.keys())) + + if normalized_type: + if normalized_type in normalized_value: + normalized_value = {normalized_type: normalized_value[normalized_type]} + elif len(normalized_value) == 1: + only_value = next(iter(normalized_value.values())) + normalized_value = {normalized_type: only_value} + + if not normalized_type or not normalized_value: + logger.warning( + "Skip invalid DM tag for LS sync: from_name=%s, to_name=%s, type=%s, values=%s", + from_name, + to_name, + raw_type, + raw_values, + ) + continue + ls_result_item = { - "from_name": tag.get("from_name", ""), - "to_name": tag.get("to_name", ""), - "type": tag.get("type", ""), - "value": tag.get("values", {}) + "from_name": from_name, + "to_name": to_name, + "type": normalized_type, + "value": normalized_value, } ls_result.append(ls_result_item) + + if not ls_result: + logger.warning(f"Task {task_id}: no valid DM annotations after normalization, skipping") + skipped_count += 1 + continue # 如果Label Studio已有标注，更新它；否则创建新标注 if ls_annotations: @@ -941,7 +1137,8 @@ async def sync_annotations_bidirectional( mapping: DatasetMappingResponse, batch_size: int = 50, overwrite: bool = True, - overwrite_ls: bool = True + overwrite_ls: bool = True, + sync_files_first: bool = True, ) -> SyncAnnotationsResponse: """ 双向同步标注结果 @@ -958,18 +1155,30 @@ async def sync_annotations_bidirectional( logger.info(f"Bidirectional annotation sync: dataset={mapping.dataset_id}, project={mapping.labeling_project_id}") try: + # 先做文件差异同步，保证双向标注同步处理的是同一批文件 + if sync_files_first: + file_sync_result = await self.sync_files(mapping, batch_size) + logger.info( + "Pre-annotation file sync done (bidirectional): created=%s, deleted=%s, total=%s", + file_sync_result.get("created", 0), + file_sync_result.get("deleted", 0), + file_sync_result.get("total", 0), + ) + # 先从Label Studio同步到DataMate ls_to_dm_result = await self.sync_annotations_from_ls_to_dm( mapping, batch_size, - overwrite + overwrite, + sync_files_first=False, ) # 再从DataMate同步到Label Studio dm_to_ls_result = await self.sync_annotations_from_dm_to_ls( mapping, batch_size, - overwrite_ls + overwrite_ls, + sync_files_first=False, ) # 合并结果 diff --git a/runtime/datamate-python/app/module/annotation/utils/tag_converter.py b/runtime/datamate-python/app/module/annotation/utils/tag_converter.py index d084b8a53..79b680469 100644 --- a/runtime/datamate-python/app/module/annotation/utils/tag_converter.py +++ b/runtime/datamate-python/app/module/annotation/utils/tag_converter.py @@ -29,7 +29,6 @@ import uuid from typing import List, Dict, Any, Optional -from datetime import datetime from app.core.logging import get_logger from ..schema.template import TemplateConfiguration @@ -146,7 +145,7 @@ def convert_simplified_to_full( "type": control_type, "values": { control_type: values - } + }, } full_tags.append(full_tag) @@ -164,10 +163,10 @@ def is_simplified_format(self, tag: Dict[str, Any]) -> bool: Returns: True if tag appears to be in simplified format """ - # Simplified format has 'values' at top level and no 'type' field + # Simplified format has top-level 'values' and no explicit type/value wrapper has_values = 'values' in tag has_type = 'type' in tag - has_value = 'values' in tag + has_value = 'value' in tag # If it has 'values' but no 'type', it's simplified # If it has 'type' and nested 'value', it's already full format diff --git a/runtime/datamate-python/app/module/annotation/utils/test_tag_converter.py b/runtime/datamate-python/app/module/annotation/utils/test_tag_converter.py index 468570492..dd01cbfaf 100644 --- a/runtime/datamate-python/app/module/annotation/utils/test_tag_converter.py +++ b/runtime/datamate-python/app/module/annotation/utils/test_tag_converter.py @@ -83,7 +83,7 @@ def test_convert_simplified_to_full_single_value(self, converter): assert tag["from_name"] == "sentiment" assert tag["to_name"] == "text" assert tag["type"] == "choices" - assert tag["value"] == {"choices": ["positive"]} + assert tag["values"] == {"choices": ["positive"]} assert "id" in tag def test_convert_simplified_to_full_multiple_values(self, converter): @@ -101,7 +101,7 @@ def test_convert_simplified_to_full_multiple_values(self, converter): assert len(result) == 1 tag = result[0] assert tag["type"] == "rectanglelabels" - assert tag["value"] == {"rectanglelabels": ["cat", "dog"]} + assert tag["values"] == {"rectanglelabels": ["cat", "dog"]} def test_convert_simplified_camelcase(self, converter): """Test that camelCase field names are supported""" @@ -234,7 +234,7 @@ def test_convert_if_needed_mixed_formats(self, converter): assert len(result) == 2 # First should be converted assert result[0]["type"] == "choices" - assert result[0]["value"] == {"choices": ["positive"]} + assert result[0]["values"] == {"choices": ["positive"]} # Second should pass through unchanged assert result[1]["id"] == "existing-123" assert result[1]["type"] == "rectanglelabels" @@ -299,7 +299,7 @@ def test_external_api_submission(self, converter): # Verify correct storage format assert len(internal_tags) == 1 assert internal_tags[0]["type"] == "choices" - assert internal_tags[0]["value"] == {"choices": ["positive", "negative"]} + assert internal_tags[0]["values"] == {"choices": ["positive", "negative"]} assert "id" in internal_tags[0] def test_update_existing_tags(self, converter): @@ -330,7 +330,7 @@ def test_update_existing_tags(self, converter): # Merge logic would replace tag-001 assert converted_update[0]["id"] == "tag-001" - assert converted_update[0]["value"] == {"choices": ["negative"]} + assert converted_update[0]["values"] == {"choices": ["negative"]} if __name__ == "__main__": diff --git a/runtime/datamate-python/app/module/dataset/schema/dataset_file.py b/runtime/datamate-python/app/module/dataset/schema/dataset_file.py index e005329eb..d8d72f3fd 100644 --- a/runtime/datamate-python/app/module/dataset/schema/dataset_file.py +++ b/runtime/datamate-python/app/module/dataset/schema/dataset_file.py @@ -1,9 +1,11 @@ -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, ConfigDict from typing import List, Optional, Dict, Any from datetime import datetime class DatasetFileResponse(BaseModel): """DM服务数据集文件响应模型""" + model_config = ConfigDict(populate_by_name=True) + id: str = Field(..., description="文件ID") fileName: str = Field(..., description="文件名") fileType: str = Field(..., description="文件类型") @@ -36,7 +38,16 @@ class DatasetFileTag(BaseModel): def get_tags(self) -> List[str]: tags = [] # 如果 values 是字典类型，根据 type 获取对应的值 - tag_values = self.values.get(self.type, []) + tag_values = [] + if isinstance(self.values, dict): + normalized_values = { + str(key).strip().lower(): value + for key, value in self.values.items() + if key is not None + } + type_key = (self.type or "").strip().lower() if isinstance(self.type, str) else "" + if type_key: + tag_values = normalized_values.get(type_key, []) # 处理标签值 if isinstance(tag_values, list): diff --git a/runtime/datamate-python/app/module/dataset/service/service.py b/runtime/datamate-python/app/module/dataset/service/service.py index 5c1ddb4df..4c3400665 100644 --- a/runtime/datamate-python/app/module/dataset/service/service.py +++ b/runtime/datamate-python/app/module/dataset/service/service.py @@ -312,24 +312,147 @@ async def update_file_tags_partial( # 继续使用原始标签格式 logger.warning("Continuing with original tag format") - # 获取现有标签 + # 获取并归一化现有标签 existing_tags: List[Dict[str, Any]] = file_record.tags or [] # type: ignore - # 创建标签ID到索引的映射 - tag_id_map = {tag.get('id'): idx for idx, tag in enumerate(existing_tags) if tag.get('id')} + def _normalize_tag(raw_tag: Dict[str, Any]) -> Dict[str, Any]: + normalized = dict(raw_tag) + if "values" not in normalized and isinstance(normalized.get("value"), dict): + normalized["values"] = normalized.get("value") + normalized.pop("value", None) + + control_type = normalized.get("type") + if isinstance(control_type, str) and control_type.strip(): + normalized["type"] = control_type.strip().lower() + + values_obj = normalized.get("values") + if isinstance(values_obj, dict): + normalized_values: Dict[str, Any] = {} + for value_key, value_content in values_obj.items(): + key_str = str(value_key).strip().lower() if value_key is not None else "" + if key_str: + normalized_values[key_str] = value_content + + if normalized_values: + normalized["values"] = normalized_values + if not normalized.get("type") and len(normalized_values) == 1: + normalized["type"] = next(iter(normalized_values.keys())) + + return normalized + + def _extract_tag_type(tag: Dict[str, Any]) -> str: + control_type = tag.get("type") + if isinstance(control_type, str) and control_type: + return control_type.strip().lower() + values_obj = tag.get("values") + if isinstance(values_obj, dict) and len(values_obj) == 1: + only_key = next(iter(values_obj.keys())) + if isinstance(only_key, str): + return only_key.strip().lower() + return "" + + def _extract_name_pair(tag: Dict[str, Any]) -> Optional[tuple[str, str]]: + from_name = tag.get("from_name") or tag.get("fromName") + to_name = tag.get("to_name") or tag.get("toName") + if not from_name or not to_name: + return None + return str(from_name).strip(), str(to_name).strip() + + def _extract_from_name(tag: Dict[str, Any]) -> Optional[str]: + from_name = tag.get("from_name") or tag.get("fromName") + if not from_name: + return None + return str(from_name).strip() + + def _extract_semantic_key(tag: Dict[str, Any]) -> Optional[tuple[str, str, str]]: + name_pair = _extract_name_pair(tag) + if not name_pair: + return None + return name_pair[0], name_pair[1], _extract_tag_type(tag) + + existing_tags = [_normalize_tag(tag) for tag in existing_tags if isinstance(tag, dict)] + + tag_id_map: Dict[str, int] = {} + tag_key_map: Dict[tuple[str, str, str], int] = {} + tag_name_pair_map: Dict[tuple[str, str], int] = {} + tag_from_name_map: Dict[str, int] = {} + + def _index_tag(idx: int, tag: Dict[str, Any]) -> None: + tag_id = tag.get("id") + if isinstance(tag_id, str) and tag_id: + tag_id_map[tag_id] = idx + + semantic_key = _extract_semantic_key(tag) + if semantic_key: + tag_key_map[semantic_key] = idx + + name_pair = _extract_name_pair(tag) + if name_pair: + tag_name_pair_map[name_pair] = idx + + from_name = _extract_from_name(tag) + if from_name: + tag_from_name_map[from_name] = idx + + for idx, tag in enumerate(existing_tags): + _index_tag(idx, tag) # 更新或追加标签 for new_tag in processed_tags: - tag_id = new_tag.get('id') - if tag_id and tag_id in tag_id_map: + if not isinstance(new_tag, dict): + continue + + normalized_new_tag = _normalize_tag(new_tag) + tag_id = normalized_new_tag.get("id") + + if isinstance(tag_id, str) and tag_id in tag_id_map: # 更新现有标签 idx = tag_id_map[tag_id] - existing_tags[idx] = new_tag + existing_tags[idx] = normalized_new_tag + _index_tag(idx, normalized_new_tag) logger.debug(f"Updated existing tag with id: {tag_id}") else: - # 追加新标签 - existing_tags.append(new_tag) - logger.debug(f"Added new tag with id: {tag_id}") + semantic_key = _extract_semantic_key(normalized_new_tag) + name_pair = _extract_name_pair(normalized_new_tag) + + matched_idx: Optional[int] = None + + if semantic_key and semantic_key in tag_key_map: + matched_idx = tag_key_map[semantic_key] + elif name_pair and name_pair in tag_name_pair_map: + matched_idx = tag_name_pair_map[name_pair] + else: + from_name = _extract_from_name(normalized_new_tag) + if from_name and from_name in tag_from_name_map: + matched_idx = tag_from_name_map[from_name] + + if matched_idx is not None: + existing_tag = existing_tags[matched_idx] + existing_id = existing_tag.get("id") + if not normalized_new_tag.get("id") and isinstance(existing_id, str) and existing_id: + normalized_new_tag["id"] = existing_id + + if not normalized_new_tag.get("to_name") and isinstance(existing_tag.get("to_name"), str): + normalized_new_tag["to_name"] = existing_tag.get("to_name") + if not normalized_new_tag.get("from_name") and isinstance(existing_tag.get("from_name"), str): + normalized_new_tag["from_name"] = existing_tag.get("from_name") + if not normalized_new_tag.get("type") and isinstance(existing_tag.get("type"), str): + normalized_new_tag["type"] = str(existing_tag.get("type")).strip().lower() + + existing_tags[matched_idx] = normalized_new_tag + _index_tag(matched_idx, normalized_new_tag) + logger.debug( + "Updated existing tag with semantic key: from_name=%s, to_name=%s, type=%s", + semantic_key[0] if semantic_key else (name_pair[0] if name_pair else ""), + semantic_key[1] if semantic_key else (name_pair[1] if name_pair else ""), + semantic_key[2] if semantic_key else "" 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