fix(data-process): 恢复提前中断的重新生成任务

backend/app/api/v1/endpoints/data_process.py

@@ -715,8 +715,12 @@ def task_detail(
     store: DataProcessStore = Depends(get_data_process_store),
 ) -> dict[str, Any]:
     with api_errors():
+        # 兼容旧版曾在第五步前清空结果的异常任务；严格特征匹配且幂等。
+        store.recover_legacy_aborted_regeneration(task_id)
         task = store.get_task(task_id)
-        task["source_files"] = store.list_source_files(task_id)
+        source_files = store.list_source_files(task_id)
+        task["source_files"] = source_files
+        task["source_file_count"] = len(source_files)
         return ok(task)
 
 

backend/app/modules/data_process/algorithms.py

@@ -34,6 +34,8 @@ from openpyxl.utils.cell import range_boundaries
 from pptx import Presentation
 from pypdf import PdfReader
 
+from app.modules.data_process.constants import MAX_QA_PAIRS_PER_ITEM
+
 TextFormat = Literal[
     "json",
     "jsonl",
@@ -2659,8 +2661,10 @@ def generate_standard_records(
     LLM 响应解析后的统一落库步骤。
     """
 
-    if not 1 <= qa_pairs_per_item <= 5:
+    if not 1 <= qa_pairs_per_item <= MAX_QA_PAIRS_PER_ITEM:
-        raise ValueError("qa_pairs_per_item must be in [1, 5]")
+        raise ValueError(
+            f"qa_pairs_per_item must be in [1, {MAX_QA_PAIRS_PER_ITEM}]"
+        )
     prefixes = (
         "请结合实际情况说明：",
         "请用通俗易懂的方式说明：",
@@ -2677,7 +2681,13 @@ def generate_standard_records(
             variant_instruction = instruction
             if variant_index:
                 if semantic_enrichment:
-                    variant_instruction = f"{prefixes[variant_index]}{instruction}"
+                    prefix = prefixes[variant_index % len(prefixes)]
+                    if variant_index >= len(prefixes):
+                        prefix = (
+                            f"{prefix.removesuffix('：')}"
+                            f"（问法 {variant_index + 1}）："
+                        )
+                    variant_instruction = f"{prefix}{instruction}"
                 else:
                     variant_instruction = f"{instruction}(问法 {variant_index + 1})"
             raw_id = f"{preview_id}:{variant_index + 1}"

backend/app/modules/data_process/constants.py

@@ -0,0 +1,7 @@
+"""数据处理模块的共享限制。"""
+
+MAX_QA_PAIRS_PER_ITEM = 50
+MODEL_GENERATION_BATCH_SIZE = 10
+
+
+__all__ = ["MAX_QA_PAIRS_PER_ITEM", "MODEL_GENERATION_BATCH_SIZE"]

backend/app/modules/data_process/generation.py

@@ -12,6 +12,10 @@ from urllib.parse import urlsplit, urlunsplit
 import httpx
 
 from app.modules.data_process.algorithms import normalize_text, stable_split_assignments
+from app.modules.data_process.constants import (
+    MAX_QA_PAIRS_PER_ITEM,
+    MODEL_GENERATION_BATCH_SIZE,
+)
 
 
 class ModelGenerationError(ValueError):
@@ -96,10 +100,20 @@ def _result_items(payload: Any) -> list[Mapping[str, Any]]:
     return items
 
 
-def _prompt_messages(prompt: str, content: str, count: int) -> list[dict[str, str]]:
+def _prompt_messages(
+    prompt: str,
+    content: str,
+    count: int,
+    *,
+    start_index: int,
+    total_count: int,
+) -> list[dict[str, str]]:
+    end_index = start_index + count - 1
     schema_instruction = (
         f"必须只返回 JSON 对象，格式为 {{\"items\":[{{\"instruction\":\"...\","
         f"\"input\":\"...\",\"output\":\"...\"}}]}}；items 必须包含 {count} 条。"
+        f"这是总计 {total_count} 条中的第 {start_index}-{end_index} 条，"
+        "各条必须使用不同的提问角度和表述，避免重复。"
         "instruction 和 output 不得为空，不要输出 Markdown 代码围栏或分析过程。"
     )
     base_prompt = (
@@ -131,11 +145,14 @@ def generate_model_records(
 ) -> list[dict[str, Any]]:
     """调用 OpenAI 兼容接口，将预览切片生成标准训练记录。
 
-    单条调用失败会产生可人工修复的 invalid 结果，不会丢弃整批任务。
+    每个切片按安全批次调用模型；失败批次会产生一条可人工修复的
+    invalid 结果，已经成功的批次不会丢失。
     """
 
-    if not 1 <= qa_pairs_per_item <= 5:
+    if not 1 <= qa_pairs_per_item <= MAX_QA_PAIRS_PER_ITEM:
-        raise ModelGenerationError("qa_pairs_per_item must be in [1, 5]")
+        raise ModelGenerationError(
+            f"qa_pairs_per_item must be in [1, {MAX_QA_PAIRS_PER_ITEM}]"
+        )
     endpoint = chat_completions_url(str(model.get("api_url") or ""))
     model_name = str(model.get("online_model_name") or model.get("name") or "").strip()
     if not model_name:
@@ -161,12 +178,21 @@ def generate_model_records(
             content = normalize_text(
                 str(item.get("edited_content") or item.get("original_content") or "")
             )
+            for batch_offset in range(0, qa_pairs_per_item, MODEL_GENERATION_BATCH_SIZE):
+                batch_count = min(
+                    MODEL_GENERATION_BATCH_SIZE,
+                    qa_pairs_per_item - batch_offset,
+                )
+                batch_start = batch_offset + 1
+                batch_end = batch_offset + batch_count
                 request_payload: dict[str, Any] = {
                     "model": model_name,
                     "messages": _prompt_messages(
                         str(config.get("generation_prompt") or ""),
                         content,
-                    qa_pairs_per_item,
+                        batch_count,
+                        start_index=batch_start,
+                        total_count=qa_pairs_per_item,
                     ),
                     "temperature": temperature,
                     "max_tokens": max_tokens,
@@ -178,27 +204,51 @@ def generate_model_records(
                 generated_items: list[Mapping[str, Any]] | None = None
                 for _ in range(retries + 1):
                     try:
-                    response = http_client.post(endpoint, headers=headers, json=request_payload)
+                        response = http_client.post(
+                            endpoint,
+                            headers=headers,
+                            json=request_payload,
+                        )
                         response.raise_for_status()
                         body = response.json()
                         if not isinstance(body, Mapping):
-                        raise ModelGenerationError("model response body must be a JSON object")
+                            raise ModelGenerationError(
-                    generated_items = _result_items(_json_payload(_message_content(body)))
+                                "model response body must be a JSON object"
+                            )
+                        candidate_items = _result_items(
+                            _json_payload(_message_content(body))
+                        )
+                        if len(candidate_items) < batch_count:
+                            raise ModelGenerationError(
+                                "model response contains fewer result objects than requested: "
+                                f"expected {batch_count}, got {len(candidate_items)}"
+                            )
+                        generated_items = candidate_items
                         break
-                except (httpx.HTTPError, json.JSONDecodeError, ModelGenerationError) as exc:
+                    except (
+                        httpx.HTTPError,
+                        json.JSONDecodeError,
+                        ModelGenerationError,
+                    ) as exc:
                         last_error = exc
 
                 if generated_items is None:
                     error_message = str(last_error or "model generation failed")[:2000]
-                result_id = f"result_{hashlib.sha256(f'{preview_id}:error'.encode()).hexdigest()[:16]}"
+                    failure_instruction = (
+                        f"模型生成失败，请人工补充（第 {batch_start}-{batch_end} 条）"
+                    )
+                    result_id = (
+                        "result_"
+                        f"{hashlib.sha256(f'{preview_id}:error:{batch_start}'.encode()).hexdigest()[:16]}"
+                    )
                     results.append(
                         {
                             "id": result_id,
                             "preview_item_id": preview_id,
-                        "instruction": "模型生成失败，请人工补充",
+                            "instruction": failure_instruction,
                             "input": content,
                             "output": "",
-                        "original_instruction": "模型生成失败，请人工补充",
+                            "original_instruction": failure_instruction,
                             "original_input": content,
                             "original_output": "",
                             "status": "invalid",
@@ -206,13 +256,16 @@ def generate_model_records(
                             "split": "train",
                         }
                     )
-                if on_progress:
-                    on_progress(item_index + 1, total_items)
                     continue
 
-            for variant_index, value in enumerate(generated_items[:qa_pairs_per_item]):
+                for batch_index, value in enumerate(generated_items[:batch_count]):
-                instruction = normalize_text(str(value.get("instruction") or value.get("question") or ""))
+                    variant_index = batch_offset + batch_index
-                input_text = normalize_text(str(value.get("input") or value.get("context") or ""))
+                    instruction = normalize_text(
+                        str(value.get("instruction") or value.get("question") or "")
+                    )
+                    input_text = normalize_text(
+                        str(value.get("input") or value.get("context") or "")
+                    )
                     output = normalize_text(
                         str(
                             value.get("output")
@@ -222,7 +275,9 @@ def generate_model_records(
                         )
                     )
                     raw_id = f"{preview_id}:{variant_index + 1}:{instruction}:{output}"
-                result_id = f"result_{hashlib.sha256(raw_id.encode()).hexdigest()[:16]}"
+                    result_id = (
+                        f"result_{hashlib.sha256(raw_id.encode()).hexdigest()[:16]}"
+                    )
                     valid = bool(instruction and output)
                     results.append(
                         {
@@ -235,7 +290,11 @@ def generate_model_records(
                             "original_input": input_text,
                             "original_output": output,
                             "status": "valid" if valid else "invalid",
-                        "error": None if valid else "model result is missing instruction or output",
+                            "error": (
+                                None
+                                if valid
+                                else "model result is missing instruction or output"
+                            ),
                             "split": "train",
                         }
                     )

backend/app/modules/data_process/store.py

@@ -41,6 +41,7 @@ _UNSTRUCTURED_PREVIEW_DEFAULTS: dict[str, Any] = {
     "preserve_code_blocks": True,
     "preserve_lists": True,
 }
+_REGENERATION_MARKER_KEY = "_regeneration_prepared"
 
 
 class DataProcessStoreError(RuntimeError):
@@ -129,6 +130,34 @@ def _preview_config_changed(
     )
 
 
+def _regeneration_marker(task: dict[str, Any]) -> dict[str, Any] | None:
+    config = task.get("config")
+    if not isinstance(config, dict):
+        return None
+    marker = config.get(_REGENERATION_MARKER_KEY)
+    if not isinstance(marker, dict) or marker.get("prepared") is not True:
+        return None
+    return marker
+
+
+def _is_regeneration_prepared(task: dict[str, Any]) -> bool:
+    return _regeneration_marker(task) is not None
+
+
+def _public_task(item: dict[str, Any] | None) -> dict[str, Any] | None:
+    """从 API 任务快照中移除服务端内部重新生成标记。"""
+
+    if item is None:
+        return None
+    public = dict(item)
+    config = public.get("config")
+    if isinstance(config, dict) and _REGENERATION_MARKER_KEY in config:
+        public["config"] = {
+            key: value for key, value in config.items() if key != _REGENERATION_MARKER_KEY
+        }
+    return public
+
+
 def _serialize_value(value: Any) -> Any:
     if isinstance(value, (datetime, date)):
         return value.isoformat().replace("+00:00", "Z")
@@ -174,6 +203,7 @@ def _decode_row(row: dict[str, Any] | None) -> dict[str, Any] | None:
         "metadata": {},
         "quality_score": {},
         "versions": [],
+        "output_datasets": [],
     }.items():
         if key in item:
             item[key] = _json_value(item[key], default)
@@ -219,40 +249,45 @@ class DataProcessStore:
         tenant_id: str | None = None,
         project_id: str | None = None,
     ) -> dict[str, Any]:
-        clauses = ["deleted_at IS NULL"]
+        clauses = ["task.deleted_at IS NULL"]
         params: list[Any] = []
         if keyword:
-            clauses.append("(name ILIKE %s OR COALESCE(description, '') ILIKE %s)")
+            clauses.append("(task.name ILIKE %s OR COALESCE(task.description, '') ILIKE %s)")
             pattern = f"%{keyword.strip()}%"
             params.extend([pattern, pattern])
         if status:
-            clauses.append("status = %s")
+            clauses.append("task.status = %s")
             params.append(status)
         if process_type:
-            clauses.append("process_type = %s")
+            clauses.append("task.process_type = %s")
             params.append(process_type)
         if tenant_id:
-            clauses.append("tenant_id = %s")
+            clauses.append("task.tenant_id = %s")
             params.append(tenant_id)
         if project_id:
-            clauses.append("project_id = %s")
+            clauses.append("task.project_id = %s")
             params.append(project_id)
         where = " AND ".join(clauses)
         with self.connect() as conn:
             total = conn.execute(
-                f"SELECT COUNT(*) AS count FROM data_process_tasks WHERE {where}", params
+                f"SELECT COUNT(*) AS count FROM data_process_tasks task WHERE {where}",
+                params,
             ).fetchone()["count"]
             rows = conn.execute(
                 f"""
-                SELECT * FROM data_process_tasks
+                SELECT task.*,
+                       (SELECT COUNT(*) FROM data_process_source_files source_file
+                        WHERE source_file.task_id=task.id
+                          AND source_file.deleted_at IS NULL) AS source_file_count
+                FROM data_process_tasks task
                 WHERE {where}
-                ORDER BY created_at DESC, id DESC
+                ORDER BY task.created_at DESC, task.id DESC
                 LIMIT %s OFFSET %s
                 """,
                 [*params, page_size, (page - 1) * page_size],
             ).fetchall()
         return {
-            "items": [_decode_row(row) for row in rows],
+            "items": [_public_task(_decode_row(row)) for row in rows],
             "total": int(total),
             "page": page,
             "page_size": page_size,
@@ -278,7 +313,13 @@ class DataProcessStore:
                         payload.get("description") or "",
                         payload["process_type"],
                         payload.get("source_dataset_id"),
-                        json_dumps(payload.get("config") or {}),
+                        json_dumps(
+                            {
+                                key: value
+                                for key, value in (payload.get("config") or {}).items()
+                                if key != _REGENERATION_MARKER_KEY
+                            }
+                        ),
                         payload.get("tenant_id"),
                         payload.get("project_id"),
                         payload.get("owner_id"),
@@ -290,7 +331,7 @@ class DataProcessStore:
                 ).fetchone()
         except psycopg.errors.UniqueViolation as exc:
             raise ConflictError("data process task name already exists") from exc
-        return _decode_row(row) or {}
+        return _public_task(_decode_row(row)) or {}
 
     def get_task(self, task_id: str, *, for_update: bool = False) -> dict[str, Any]:
         lock = " FOR UPDATE" if for_update else ""
@@ -314,11 +355,21 @@ class DataProcessStore:
                                'name', dataset.name,
                                'type', dataset.type,
                                'count', dataset.count,
-                               'dataset_split', dataset.metadata::jsonb->>'dataset_split'
+                               'dataset_split', CASE dataset.type
+                                   WHEN 'train' THEN 'train'
+                                   WHEN 'val' THEN 'validation'
+                                   WHEN 'test' THEN 'test'
+                                   ELSE NULL
+                               END
                            ) ORDER BY CASE dataset.type
                                WHEN 'train' THEN 1 WHEN 'val' THEN 2 WHEN 'test' THEN 3 ELSE 4 END), '[]'::json)
                             FROM datasets dataset
-                            WHERE dataset.source_task_id=task.id AND dataset.source='task')
+                            WHERE dataset.source='task'
+                              AND dataset.deleted_at IS NULL
+                              AND (
+                                  dataset.source_task_id=task.id
+                                  OR (dataset.source_task_id IS NULL AND dataset.task_id=task.id)
+                              ))
                              AS output_datasets,
                            CASE
                              WHEN task.started_at IS NOT NULL AND task.completed_at IS NOT NULL
@@ -332,7 +383,7 @@ class DataProcessStore:
                 ).fetchone()
         if not row:
             raise NotFoundError("data process task not found")
-        return _decode_row(row) or {}
+        return _public_task(_decode_row(row)) or {}
 
     def _task_in_connection(
         self,
@@ -354,9 +405,176 @@ class DataProcessStore:
     def _ensure_editable(task: dict[str, Any]) -> None:
         if task["status"] not in EDITABLE_STATUSES:
             raise InvalidStateError(f"task cannot be edited while status is {task['status']}")
-        if task.get("output_dataset_id"):
+        if task.get("output_dataset_id") and not _is_regeneration_prepared(task):
             raise InvalidStateError("published task cannot be edited")
 
+    def recover_legacy_aborted_regeneration(self, task_id: str) -> dict[str, Any]:
+        """恢复旧版在真正开始生成前误删的上一轮结果。
+
+        旧实现会在 ``POST /regenerate`` 时立即把已发布任务置为 pending、
+        清空结果并解除输出指针。三个已发布数据集仍是独立完整产物，因此只在
+        这个特征完全匹配时，使用其记录恢复结果和任务状态。该操作幂等，不会
+        触碰正常的新建待生成任务或已经开始的新一轮生成。
+        """
+
+        with self.connect() as conn:
+            task = self._task_in_connection(conn, task_id, for_update=True)
+            if (
+                task.get("status") != "pending"
+                or task.get("generation_run_id")
+                or task.get("output_dataset_id")
+                or int(task.get("output_count") or 0) != 0
+            ):
+                return {"recovered": False, "result_count": 0}
+
+            result_count = int(
+                (
+                    conn.execute(
+                        "SELECT COUNT(*) AS count FROM data_process_results WHERE task_id=%s",
+                        (task_id,),
+                    ).fetchone()
+                    or {}
+                ).get("count")
+                or 0
+            )
+            if result_count:
+                return {"recovered": False, "result_count": result_count}
+
+            datasets = conn.execute(
+                """
+                SELECT id, type, count, created_at
+                FROM datasets
+                WHERE source='task' AND deleted_at IS NULL
+                  AND (
+                      source_task_id=%s
+                      OR (source_task_id IS NULL AND task_id=%s)
+                  )
+                ORDER BY CASE type
+                    WHEN 'train' THEN 1 WHEN 'val' THEN 2 WHEN 'test' THEN 3 ELSE 4
+                END, created_at, id
+                """,
+                (task_id, task_id),
+            ).fetchall()
+            train_dataset = next(
+                (dataset for dataset in datasets if dataset.get("type") == "train"),
+                None,
+            )
+            if not train_dataset:
+                return {"recovered": False, "result_count": 0}
+
+            dataset_ids = [str(dataset["id"]) for dataset in datasets]
+            records = conn.execute(
+                """
+                SELECT id, dataset_id, line_no, split, instruction, input, output,
+                       raw, status, source_result_id, preview_item_id, created_at
+                FROM dataset_records
+                WHERE dataset_id = ANY(%s)
+                ORDER BY created_at, dataset_id, line_no NULLS LAST, id
+                """,
+                (dataset_ids,),
+            ).fetchall()
+            if not records:
+                return {"recovered": False, "result_count": 0}
+
+            preview_rows = conn.execute(
+                "SELECT id FROM data_process_preview_items WHERE task_id=%s",
+                (task_id,),
+            ).fetchall()
+            preview_ids = {str(row["id"]) for row in preview_rows}
+            used_result_ids: set[str] = set()
+            recovered_count = 0
+            for record in records:
+                raw = _json_value(record.get("raw"), {})
+                raw = raw if isinstance(raw, dict) else {}
+                candidate_id = str(
+                    record.get("source_result_id")
+                    or raw.get("source_result_id")
+                    or ""
+                )
+                result_id = (
+                    candidate_id
+                    if candidate_id and candidate_id not in used_result_ids
+                    else new_id("dpr")
+                )
+                used_result_ids.add(result_id)
+                candidate_preview_id = str(
+                    record.get("preview_item_id")
+                    or raw.get("preview_item_id")
+                    or ""
+                )
+                preview_item_id = (
+                    candidate_preview_id if candidate_preview_id in preview_ids else None
+                )
+                instruction = str(record.get("instruction") or raw.get("instruction") or "")
+                input_text = str(record.get("input") or raw.get("input") or "")
+                output = str(record.get("output") or raw.get("output") or "")
+                split = str(record.get("split") or raw.get("split") or "") or None
+                status = str(record.get("status") or "valid")
+                if status not in {"valid", "modified", "invalid"}:
+                    status = "valid"
+                created_at = record.get("created_at") or utcnow()
+                conn.execute(
+                    """
+                    INSERT INTO data_process_results
+                    (id, task_id, preview_item_id, instruction, input, output,
+                     original_instruction, original_input, original_output, status,
+                     error, split, quality_score, created_at, updated_at)
+                    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s,
+                            NULL, %s, '{}', %s, %s)
+                    """,
+                    (
+                        result_id,
+                        task_id,
+                        preview_item_id,
+                        instruction,
+                        input_text,
+                        output,
+                        instruction,
+                        input_text,
+                        output,
+                        status,
+                        split,
+                        created_at,
+                        created_at,
+                    ),
+                )
+                conn.execute(
+                    """
+                    UPDATE dataset_records
+                    SET source_result_id=%s, preview_item_id=%s
+                    WHERE id=%s
+                    """,
+                    (result_id, preview_item_id, record["id"]),
+                )
+                recovered_count += 1
+
+            now = utcnow()
+            published_at = max(
+                (dataset.get("created_at") for dataset in datasets if dataset.get("created_at")),
+                default=None,
+            )
+            conn.execute(
+                """
+                UPDATE data_process_tasks
+                SET status='completed', progress=100, output_dataset_id=%s,
+                    output_count=%s, filtered_count=0, duplicate_count=0,
+                    error_count=(SELECT COUNT(*) FROM data_process_results
+                                 WHERE task_id=%s AND status='invalid'),
+                    failure_reason=NULL, completed_at=COALESCE(completed_at, %s),
+                    updated_at=%s
+                WHERE id=%s
+                """,
+                (
+                    train_dataset["id"],
+                    recovered_count,
+                    task_id,
+                    published_at,
+                    now,
+                    task_id,
+                ),
+            )
+            return {"recovered": True, "result_count": recovered_count}
+
     def update_task(self, task_id: str, payload: dict[str, Any]) -> dict[str, Any]:
         allowed = {
             "name",
@@ -365,14 +583,30 @@ class DataProcessStore:
             "source_dataset_id",
         }
         values: dict[str, Any] = {key: value for key, value in payload.items() if key in allowed}
-        if payload.get("config") is not None:
+        if not values and payload.get("config") is None:
-            values["config"] = json_dumps(payload["config"])
-        if not values:
             return self.get_task(task_id)
         try:
             with self.connect() as conn:
                 task = self._task_in_connection(conn, task_id, for_update=True)
                 self._ensure_editable(task)
+                regeneration_prepared = _is_regeneration_prepared(task)
+                if regeneration_prepared and any(
+                    key in payload and payload.get(key) != task.get(key)
+                    for key in ("process_type", "source_dataset_id")
+                ):
+                    raise InvalidStateError(
+                        "process type and source dataset cannot change during regeneration"
+                    )
+                if payload.get("config") is not None:
+                    next_config = {
+                        key: value
+                        for key, value in payload["config"].items()
+                        if key != _REGENERATION_MARKER_KEY
+                    }
+                    current_marker = _regeneration_marker(task)
+                    if current_marker:
+                        next_config[_REGENERATION_MARKER_KEY] = current_marker
+                    values["config"] = json_dumps(next_config)
                 invalidates_results = (
                     ("config" in payload and payload.get("config") != task.get("config"))
                     or (
@@ -384,7 +618,7 @@ class DataProcessStore:
                         and payload.get("source_dataset_id") != task.get("source_dataset_id")
                     )
                 )
-                if invalidates_results:
+                if invalidates_results and not regeneration_prepared:
                     values.update(
                         {
                             "status": "pending",
@@ -424,20 +658,21 @@ class DataProcessStore:
                 ).fetchone()
         except psycopg.errors.UniqueViolation as exc:
             raise ConflictError("data process task name already exists") from exc
-        return _decode_row(row) or {}
+        return _public_task(_decode_row(row)) or {}
 
     def prepare_regeneration(
         self,
         task_id: str,
         payload: dict[str, Any],
     ) -> dict[str, Any]:
-        """在一个事务中将已有任务恢复为可重新生成状态。
+        """非破坏性地保存重新生成配置。
 
-        已发布数据集是可被其他任务使用的独立产物，此处只解除当前任务的
+        准备阶段保留任务当前状态、结果、切片及已发布数据集。真正开始
-        输出指针，不删除数据集实体。用户完成新一轮生成后，可再次发布
+        生成时，才在同一事务内切换运行状态并清理上一轮结果。
-        以原子替换三个分割数据集的内容。
         """
 
+        # 先修复曾被旧版 prepare 提前清空的任务，再建立新的非破坏性草稿标记。
+        self.recover_legacy_aborted_regeneration(task_id)
         try:
             with self.connect() as conn:
                 task = self._task_in_connection(conn, task_id, for_update=True)
@@ -454,54 +689,50 @@ class DataProcessStore:
 
                 current_config = dict(task.get("config") or {})
                 next_config = dict(payload.get("config") or {})
+                next_config.pop(_REGENERATION_MARKER_KEY, None)
                 preview_invalidated = _preview_config_changed(
                     process_type,
                     current_config,
                     next_config,
                 )
+                now = utcnow()
+                next_config[_REGENERATION_MARKER_KEY] = {
+                    "prepared": True,
+                    "preview_invalidated": preview_invalidated,
+                    "prepared_at": now,
+                }
+                # 002 迁移前发布的数据集只有 task_id。先补齐新关联字段，保证
+                # 解除任务输出指针后，详情和后续重新发布仍能定位原来的三份数据集。
+                conn.execute(
+                    """
+                    UPDATE datasets
+                    SET source_task_id=%s, updated_at=%s
+                    WHERE source='task' AND source_task_id IS NULL AND task_id=%s
+                      AND deleted_at IS NULL
+                    """,
+                    (task_id, now, task_id),
+                )
                 published_row = conn.execute(
                     """
                     SELECT EXISTS(
                         SELECT 1 FROM datasets
-                        WHERE source_task_id=%s AND source='task'
+                        WHERE source='task' AND deleted_at IS NULL
+                          AND (
+                              source_task_id=%s
+                              OR (source_task_id IS NULL AND task_id=%s)
+                          )
                     ) AS exists
                     """,
-                    (task_id,),
+                    (task_id, task_id),
                 ).fetchone()
                 published_outputs_preserved = bool(task.get("output_dataset_id")) or bool(
                     published_row and published_row.get("exists")
                 )
 
-                # 删除顺序保证结果不再指向即将被替换的切片。
-                conn.execute(
-                    "DELETE FROM data_process_results WHERE task_id=%s",
-                    (task_id,),
-                )
-                if preview_invalidated:
-                    conn.execute(
-                        "DELETE FROM data_process_preview_items WHERE task_id=%s",
-                        (task_id,),
-                    )
-                    preview_count = 0
-                else:
-                    preview_row = conn.execute(
-                        """
-                        SELECT COUNT(*) AS count FROM data_process_preview_items
-                        WHERE task_id=%s
-                        """,
-                        (task_id,),
-                    ).fetchone()
-                    preview_count = int((preview_row or {}).get("count") or 0)
-
-                now = utcnow()
                 row = conn.execute(
                     """
                     UPDATE data_process_tasks
-                    SET name=%s, description=%s, config=%s, status='pending', progress=%s,
+                    SET name=%s, description=%s, config=%s, updated_at=%s
-                        output_dataset_id=NULL, output_count=0, filtered_count=0,
-                        duplicate_count=0, error_count=0, failure_reason=NULL,
-                        generation_run_id=NULL, started_at=NULL, completed_at=NULL,
-                        updated_at=%s
                     WHERE id=%s
                     RETURNING *
                     """,
@@ -509,7 +740,6 @@ class DataProcessStore:
                         payload["name"],
                         payload.get("description") or "",
                         json_dumps(next_config),
-                        20 if preview_count else 0,
                         now,
                         task_id,
                     ),
@@ -517,7 +747,7 @@ class DataProcessStore:
         except psycopg.errors.UniqueViolation as exc:
             raise ConflictError("data process task name already exists") from exc
         return {
-            "task": _decode_row(row) or {},
+            "task": _public_task(_decode_row(row)) or {},
             "preview_invalidated": preview_invalidated,
             "published_outputs_preserved": published_outputs_preserved,
         }
@@ -641,9 +871,6 @@ class DataProcessStore:
                         ),
                     ).fetchone()
                     created.append(_decode_row(row) or {})
-                # 前端会只对本次新增的源文件构建预览，因此必须保留旧
-                # 文件的切片。任何源文件增加都会使旧生成结果失效。
-                conn.execute("DELETE FROM data_process_results WHERE task_id=%s", (task_id,))
                 preview_row = conn.execute(
                     """
                     SELECT COUNT(*) AS count FROM data_process_preview_items
@@ -652,12 +879,32 @@ class DataProcessStore:
                     (task_id,),
                 ).fetchone()
                 preview_count = int((preview_row or {}).get("count") or 0)
+                if _is_regeneration_prepared(task):
+                    conn.execute(
+                        """
+                        UPDATE data_process_tasks
+                        SET input_count=(
+                            SELECT COALESCE(SUM(record_count), 0)
+                            FROM data_process_source_files
+                            WHERE task_id=%s AND deleted_at IS NULL
+                        ), updated_at=%s
+                        WHERE id=%s
+                        """,
+                        (task_id, now, task_id),
+                    )
+                else:
+                    # 前端会只对本次新增的源文件构建预览，因此保留旧文件切片，
+                    # 但普通未发布任务的旧生成结果已经不再有效。
+                    conn.execute(
+                        "DELETE FROM data_process_results WHERE task_id=%s", (task_id,)
+                    )
                     conn.execute(
                         """
                         UPDATE data_process_tasks
                         SET status='pending', progress=%s, output_count=0, filtered_count=0,
                             duplicate_count=0, error_count=0, failure_reason=NULL,
-                        generation_run_id=NULL, started_at=NULL, completed_at=NULL, input_count=(
+                            generation_run_id=NULL, started_at=NULL, completed_at=NULL,
+                            input_count=(
                                 SELECT COALESCE(SUM(record_count), 0)
                                 FROM data_process_source_files
                                 WHERE task_id=%s AND deleted_at IS NULL
@@ -746,10 +993,26 @@ class DataProcessStore:
             ).fetchone()
             if not row:
                 raise NotFoundError("source file not found")
-            conn.execute("DELETE FROM data_process_results WHERE task_id=%s", (task_id,))
             conn.execute(
                 "DELETE FROM data_process_preview_items WHERE source_file_id=%s", (file_id,)
             )
+            now = utcnow()
+            if _is_regeneration_prepared(task):
+                conn.execute(
+                    """
+                    UPDATE data_process_tasks
+                    SET input_count=(SELECT COALESCE(SUM(record_count), 0)
+                                     FROM data_process_source_files
+                                     WHERE task_id=%s AND deleted_at IS NULL),
+                        updated_at=%s
+                    WHERE id=%s
+                    """,
+                    (task_id, now, task_id),
+                )
+            else:
+                conn.execute(
+                    "DELETE FROM data_process_results WHERE task_id=%s", (task_id,)
+                )
                 conn.execute(
                     """
                     UPDATE data_process_tasks
@@ -761,7 +1024,7 @@ class DataProcessStore:
                         updated_at=%s
                     WHERE id=%s
                     """,
-                (task_id, utcnow(), task_id),
+                    (task_id, now, task_id),
                 )
 
     def replace_preview_items(
@@ -792,6 +1055,8 @@ class DataProcessStore:
         with self.connect() as conn:
             task = self._task_in_connection(conn, task_id, for_update=True)
             self._ensure_editable(task)
+            regeneration_prepared = _is_regeneration_prepared(task)
+            if not regeneration_prepared:
                 conn.execute("DELETE FROM data_process_results WHERE task_id=%s", (task_id,))
             if selected_ids is None:
                 conn.execute(
@@ -847,6 +1112,12 @@ class DataProcessStore:
                     ),
                 ).fetchone()
                 created.append(_decode_row(row) or {})
+            if regeneration_prepared:
+                conn.execute(
+                    "UPDATE data_process_tasks SET updated_at=%s WHERE id=%s",
+                    (now, task_id),
+                )
+            else:
                 conn.execute(
                     """
                     UPDATE data_process_tasks
@@ -949,7 +1220,7 @@ class DataProcessStore:
                     now,
                 ),
             ).fetchone()
-            self._invalidate_results(conn, task_id, now)
+            self._invalidate_results(conn, task, task_id, now)
         return _decode_row(row) or {}
 
     def update_preview_item(
@@ -996,7 +1267,7 @@ class DataProcessStore:
                     task_id,
                 ),
             ).fetchone()
-            self._invalidate_results(conn, task_id, now)
+            self._invalidate_results(conn, task, task_id, now)
         return _decode_row(row) or {}
 
     def delete_preview_item(self, task_id: str, preview_id: str) -> None:
@@ -1009,14 +1280,21 @@ class DataProcessStore:
             ).fetchone()
             if not row:
                 raise NotFoundError("preview item not found")
-            self._invalidate_results(conn, task_id, utcnow())
+            self._invalidate_results(conn, task, task_id, utcnow())
 
     def _invalidate_results(
         self,
         conn: psycopg.Connection[dict[str, Any]],
+        task: dict[str, Any],
         task_id: str,
         now: str,
     ) -> None:
+        if _is_regeneration_prepared(task):
+            conn.execute(
+                "UPDATE data_process_tasks SET updated_at=%s WHERE id=%s",
+                (now, task_id),
+            )
+            return
         conn.execute("DELETE FROM data_process_results WHERE task_id=%s", (task_id,))
         conn.execute(
             """
@@ -1034,7 +1312,8 @@ class DataProcessStore:
             raise DataProcessStoreError("incremental generation is not supported")
         with self.connect() as conn:
             task = self._task_in_connection(conn, task_id, for_update=True)
-            if task.get("output_dataset_id"):
+            regeneration_prepared = _is_regeneration_prepared(task)
+            if task.get("output_dataset_id") and not regeneration_prepared:
                 raise InvalidStateError("published task cannot be regenerated")
             if task["status"] == "running":
                 raise ConflictError("data process task is already running")
@@ -1047,16 +1326,19 @@ class DataProcessStore:
             conn.execute("DELETE FROM data_process_results WHERE task_id=%s", (task_id,))
             now = utcnow()
             generation_run_id = new_id("dprun")
+            next_config = dict(task.get("config") or {})
+            next_config.pop(_REGENERATION_MARKER_KEY, None)
             row = conn.execute(
                 """
                 UPDATE data_process_tasks
-                SET status='running', progress=30, failure_reason=NULL, started_at=%s,
+                SET config=%s, status='running', progress=30, failure_reason=NULL,
-                    completed_at=NULL, filtered_count=0, duplicate_count=0, error_count=0,
+                    started_at=%s, completed_at=NULL, output_dataset_id=NULL,
+                    output_count=0, filtered_count=0, duplicate_count=0, error_count=0,
                     generation_run_id=%s, updated_at=%s
                 WHERE id=%s
                 RETURNING *
                 """,
-                (now, generation_run_id, now, task_id),
+                (json_dumps(next_config), now, generation_run_id, now, task_id),
             ).fetchone()
         return _decode_row(row) or {}
 
@@ -1374,6 +1656,10 @@ class DataProcessStore:
         """按精确配额发布训练、验证、测试三个独立数据集。"""
         with self.connect() as conn:
             task = self._task_in_connection(conn, task_id, for_update=True)
+            if _is_regeneration_prepared(task):
+                raise InvalidStateError(
+                    "regeneration must start and complete before publishing"
+                )
             if task["status"] != "completed":
                 raise InvalidStateError("only a completed task can be published")
             rows = conn.execute(
@@ -1460,10 +1746,14 @@ class DataProcessStore:
             existing_datasets = conn.execute(
                 """
                 SELECT * FROM datasets
-                WHERE source_task_id=%s AND source='task'
+                WHERE source='task' AND deleted_at IS NULL
+                  AND (
+                      source_task_id=%s
+                      OR (source_task_id IS NULL AND task_id=%s)
+                  )
                 ORDER BY created_at, id
                 """,
-                (task_id,),
+                (task_id, task_id),
             ).fetchall()
             existing_by_split: dict[str, dict[str, Any]] = {}
             primary_existing = None

backend/app/schemas/data_process.py

@@ -5,6 +5,8 @@ from typing import Any, Literal
 
 from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
 
+from app.modules.data_process.constants import MAX_QA_PAIRS_PER_ITEM
+
 
 def _config_value(config: dict[str, Any], snake_name: str, camel_name: str, default: Any) -> Any:
     if snake_name in config:
@@ -89,8 +91,14 @@ def _validate_process_config(config: dict[str, Any]) -> None:
         pairs = _config_value(config, snake_name, camel_name, None)
         if pairs is None:
             continue
-        if isinstance(pairs, bool) or not isinstance(pairs, int) or not 1 <= pairs <= 5:
+        if (
-            raise ValueError(f"{snake_name} must be an integer in [1, 5]")
+            isinstance(pairs, bool)
+            or not isinstance(pairs, int)
+            or not 1 <= pairs <= MAX_QA_PAIRS_PER_ITEM
+        ):
+            raise ValueError(
+                f"{snake_name} must be an integer in [1, {MAX_QA_PAIRS_PER_ITEM}]"
+            )
 
 
 class DataProcessStatus(StrEnum):

backend/tests/test_data_process_algorithms.py

@@ -21,7 +21,6 @@ from app.modules.data_process.algorithms import (
     detect_document_structure,
     detect_pdf_document_noise,
     detect_text_format,
-    estimate_token_count,
     extract_pdf_page_texts,
     extract_structured_records,
     generate_standard_records,
@@ -748,3 +747,26 @@ def test_generate_standard_records_supports_json_qa_and_stable_variants() -> Non
         split={"train": 100, "validation": 0, "test": 0},
         split_seed="task-1",
     )
+
+
+def test_generate_standard_records_supports_fifty_unique_semantic_variants() -> None:
+    records = generate_standard_records(
+        [{"id": "preview-50", "edited_content": "问：如何操作？\n答：按步骤操作。"}],
+        qa_pairs_per_item=50,
+        semantic_enrichment=True,
+        split={"train": 100, "validation": 0, "test": 0},
+        split_seed="task-50",
+    )
+
+    assert len(records) == 50
+    assert len({record["id"] for record in records}) == 50
+    assert len({record["instruction"] for record in records}) == 50
+    assert all(record["status"] == "valid" for record in records)
+
+
+@pytest.mark.parametrize("qa_pairs_per_item", [0, 51])
+def test_generate_standard_records_rejects_out_of_range_count(
+    qa_pairs_per_item: int,
+) -> None:
+    with pytest.raises(ValueError, match=r"\[1, 50\]"):
+        generate_standard_records([], qa_pairs_per_item=qa_pairs_per_item)

backend/tests/test_data_process_api.py

@@ -30,6 +30,7 @@ class FakeDataProcessStore:
         self.previews: dict[str, list[dict[str, Any]]] = {}
         self.results: dict[str, list[dict[str, Any]]] = {}
         self.datasets: dict[str, dict[str, Any]] = {}
+        self.regeneration_prepared: set[str] = set()
         self.sequence = 0
 
     def _id(self, prefix: str) -> str:
@@ -37,7 +38,13 @@ class FakeDataProcessStore:
         return f"{prefix}_{self.sequence}"
 
     def list_tasks(self, *, page: int, page_size: int, **filters: Any) -> dict[str, Any]:
-        items = list(self.tasks.values())
+        items = [
+            {
+                **item,
+                "source_file_count": len(self.sources.get(str(item["id"]), [])),
+            }
+            for item in self.tasks.values()
+        ]
         for field in ("status", "process_type", "tenant_id", "project_id"):
             if filters.get(field):
                 items = [item for item in items if item.get(field) == filters[field]]
@@ -75,7 +82,22 @@ class FakeDataProcessStore:
     def get_task(self, task_id: str) -> dict[str, Any]:
         if task_id not in self.tasks:
             raise NotFoundError("data process task not found")
-        return deepcopy(self.tasks[task_id])
+        task = deepcopy(self.tasks[task_id])
+        split_order = {"train": 0, "val": 1, "test": 2}
+        task["output_datasets"] = sorted(
+            (
+                deepcopy(dataset)
+                for dataset in self.datasets.values()
+                if dataset.get("source_task_id") == task_id
+                and dataset.get("deleted_at") is None
+            ),
+            key=lambda dataset: split_order.get(str(dataset.get("type")), 3),
+        )
+        return task
+
+    def recover_legacy_aborted_regeneration(self, task_id: str) -> dict[str, Any]:
+        self.get_task(task_id)
+        return {"recovered": False, "result_count": 0}
 
     def update_task(self, task_id: str, payload: dict[str, Any]) -> dict[str, Any]:
         self.get_task(task_id)
@@ -92,27 +114,19 @@ class FakeDataProcessStore:
             raise InvalidStateError("data process task was modified by another request")
         if payload["process_type"] != task["process_type"]:
             raise InvalidStateError("process_type cannot be changed during regeneration")
-        published_outputs_preserved = bool(task.get("output_dataset_id"))
+        published_outputs_preserved = bool(task.get("output_dataset_id")) or any(
-        self.results[task_id] = []
+            dataset.get("source_task_id") == task_id
+            for dataset in self.datasets.values()
+        )
         task.update(
             {
                 "name": payload["name"],
                 "description": payload["description"],
                 "config": deepcopy(payload["config"]),
-                "status": "pending",
-                "progress": 20,
-                "output_dataset_id": None,
-                "output_count": 0,
-                "filtered_count": 0,
-                "duplicate_count": 0,
-                "error_count": 0,
-                "failure_reason": None,
-                "generation_run_id": None,
-                "started_at": None,
-                "completed_at": None,
                 "updated_at": "2026-07-25T20:00:00Z",
             }
         )
+        self.regeneration_prepared.add(task_id)
         return {
             "task": deepcopy(task),
             "preview_invalidated": False,
@@ -323,13 +337,19 @@ class FakeDataProcessStore:
     def start_generation(self, task_id: str, *, replace_existing: bool) -> dict[str, Any]:
         if not self.previews[task_id]:
             raise InvalidStateError("preview must be built before generation")
+        task = self.tasks[task_id]
+        if task.get("output_dataset_id") and task_id not in self.regeneration_prepared:
+            raise InvalidStateError("published task cannot be regenerated")
         if replace_existing:
             self.results[task_id] = []
-        self.tasks[task_id].update(
+        task.update(
             status="running",
             progress=30,
+            output_dataset_id=None,
+            output_count=0,
             generation_run_id=self._id("dprun"),
         )
+        self.regeneration_prepared.discard(task_id)
         return self.get_task(task_id)
 
     def generation_is_running(self, task_id: str, generation_run_id: str) -> bool:
@@ -469,15 +489,55 @@ class FakeDataProcessStore:
 
     def publish(self, task_id: str, payload: dict[str, Any]) -> dict[str, Any]:
         task = self.tasks[task_id]
+        if task_id in self.regeneration_prepared:
+            raise InvalidStateError("regeneration must start and complete before publishing")
+        published = [
+            dataset
+            for dataset in self.datasets.values()
+            if dataset.get("source_task_id") == task_id
+            and dataset.get("deleted_at") is None
+        ]
         if task.get("output_dataset_id"):
-            return {"dataset": deepcopy(self.datasets[task["output_dataset_id"]]), "created": False}
+            train_dataset = self.datasets[task["output_dataset_id"]]
+            return {
+                "dataset": deepcopy(train_dataset),
+                "datasets": deepcopy(published),
+                "output_datasets": deepcopy(published),
+                "created": False,
+            }
         if task["status"] != "completed":
             raise InvalidStateError("only a completed task can be published")
+        split_specs = (
+            ("train", "训练集"),
+            ("val", "验证集"),
+            ("test", "测试集"),
+        )
+        for dataset_type, label in split_specs:
             dataset_id = self._id("dataset")
-        dataset = {"id": dataset_id, "name": payload["dataset_name"], "source_task_id": task_id}
+            self.datasets[dataset_id] = {
-        self.datasets[dataset_id] = dataset
+                "id": dataset_id,
-        task["output_dataset_id"] = dataset_id
+                "name": f"{payload['dataset_name']}-{label}",
-        return {"dataset": deepcopy(dataset), "created": True}
+                "type": dataset_type,
+                "count": len(self.results[task_id]),
+                "source": "task",
+                "task_id": task_id,
+                "source_task_id": task_id,
+                "deleted_at": None,
+            }
+        published = [
+            dataset
+            for dataset in self.datasets.values()
+            if dataset.get("source_task_id") == task_id
+            and dataset.get("deleted_at") is None
+        ]
+        train_dataset = next(dataset for dataset in published if dataset["type"] == "train")
+        task["output_dataset_id"] = train_dataset["id"]
+        return {
+            "dataset": deepcopy(train_dataset),
+            "datasets": deepcopy(published),
+            "output_datasets": deepcopy(published),
+            "created": True,
+        }
 
 
 def make_client(
@@ -673,6 +733,83 @@ def test_data_process_full_contract_without_database(tmp_path: Path) -> None:
     )
 
 
+def test_task_list_exposes_document_and_generation_counts(
+    tmp_path: Path,
+) -> None:
+    client, store, _ = make_client(tmp_path)
+    task_id = client.post(
+        "/modelTF/data-process",
+        json={"name": "列表契约", "process_type": "unstructured", "config": {}},
+    ).json()["data"]["id"]
+    store.sources[task_id] = [{"id": "source-1"}, {"id": "source-2"}]
+    store.tasks[task_id].update(
+        {
+            "status": "pending",
+            "output_count": 17,
+            "output_dataset_id": None,
+        }
+    )
+
+    response = client.get("/modelTF/data-process")
+
+    assert response.status_code == 200
+    item = response.json()["data"]["items"][0]
+    assert item["status"] == "pending"
+    assert item["source_file_count"] == 2
+    assert item["output_count"] == 17
+    assert item["output_dataset_id"] is None
+
+
+def test_task_detail_uses_returned_source_files_as_document_count(tmp_path: Path) -> None:
+    client, store, _ = make_client(tmp_path)
+    task_id = client.post(
+        "/modelTF/data-process",
+        json={"name": "详情文档数", "process_type": "unstructured", "config": {}},
+    ).json()["data"]["id"]
+    store.tasks[task_id]["source_file_count"] = 99
+    store.sources[task_id] = [
+        {"id": "source-1", "name": "一.pdf", "content": "正文一"},
+        {"id": "source-2", "name": "二.pdf", "content": "正文二"},
+    ]
+
+    response = client.get(f"/modelTF/data-process/{task_id}")
+
+    assert response.status_code == 200
+    detail = response.json()["data"]
+    assert len(detail["source_files"]) == 2
+    assert detail["source_file_count"] == 2
+
+
+def test_generation_start_response_clears_previous_output_count(
+    tmp_path: Path,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    client, store, _ = make_client(tmp_path)
+    task_id = client.post(
+        "/modelTF/data-process",
+        json={"name": "新一轮生成", "process_type": "structured", "config": {}},
+    ).json()["data"]["id"]
+    store.tasks[task_id]["output_count"] = 28
+    store.previews[task_id] = [
+        {
+            "id": "preview-1",
+            "source_file_id": None,
+            "original_content": '{"question":"新问题","answer":"新答案"}',
+            "edited_content": '{"question":"新问题","answer":"新答案"}',
+            "status": "original",
+        }
+    ]
+    monkeypatch.setattr(data_process_endpoint, "_run_generation", lambda *args: None)
+
+    response = client.post(f"/modelTF/data-process/{task_id}/generate")
+
+    assert response.status_code == 200
+    progress = response.json()["data"]
+    assert progress["status"] == "running"
+    assert progress["output_count"] == 0
+    assert store.tasks[task_id]["output_count"] == 0
+
+
 def test_preview_build_replaces_only_selected_files_and_reports_file_counts(
     tmp_path: Path,
 ) -> None:
@@ -836,6 +973,13 @@ def test_regenerate_endpoint_prepares_an_existing_published_task(tmp_path: Path)
             "output_count": 2,
         }
     )
+    store.datasets["dataset_train"] = {
+        "id": "dataset_train",
+        "name": "原训练集",
+        "type": "train",
+        "source_task_id": task_id,
+        "deleted_at": None,
+    }
     store.previews[task_id] = [{"id": "preview_1", "edited_content": "原切片"}]
     store.results[task_id] = [{"id": "result_1"}]
 
@@ -852,13 +996,104 @@ def test_regenerate_endpoint_prepares_an_existing_published_task(tmp_path: Path)
 
     assert response.status_code == 200
     data = response.json()["data"]
-    assert data["task"]["status"] == "pending"
+    assert data["task"]["status"] == "completed"
-    assert data["task"]["output_dataset_id"] is None
+    assert data["task"]["output_dataset_id"] == "dataset_train"
+    assert data["task"]["output_count"] == 2
     assert data["preview_invalidated"] is False
     assert data["published_outputs_preserved"] is True
-    assert store.results[task_id] == []
+    assert store.results[task_id] == [{"id": "result_1"}]
     assert store.previews[task_id][0]["id"] == "preview_1"
 
+    detail = client.get(f"/modelTF/data-process/{task_id}").json()["data"]
+    assert detail["status"] == "completed"
+    assert detail["output_dataset_id"] == "dataset_train"
+    assert detail["output_count"] == 2
+    assert [item["id"] for item in detail["output_datasets"]] == ["dataset_train"]
+
+
+def test_published_split_datasets_remain_in_detail_after_regeneration(
+    tmp_path: Path,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    client, store, _ = make_client(tmp_path)
+    task_id = client.post(
+        "/modelTF/data-process",
+        json={"name": "保留旧发布数据", "process_type": "structured", "config": {}},
+    ).json()["data"]["id"]
+    store.tasks[task_id].update(
+        {
+            "status": "completed",
+            "updated_at": "2026-07-27T09:00:00Z",
+            "output_count": 1,
+        }
+    )
+    store.results[task_id] = [
+        {
+            "id": "result_1",
+            "status": "valid",
+            "instruction": "问题",
+            "input": "",
+            "output": "答案",
+        }
+    ]
+    store.previews[task_id] = [{"id": "preview_1", "edited_content": "原切片"}]
+
+    published = client.post(
+        f"/modelTF/data-process/{task_id}/publish",
+        json={"dataset_name": "保留旧发布数据集"},
+    )
+    assert published.status_code == 200
+    published_datasets = published.json()["data"]["datasets"]
+    assert len(published_datasets) == 3
+    published_ids = {item["id"] for item in published_datasets}
+    assert store.tasks[task_id]["output_dataset_id"] in published_ids
+
+    regenerated = client.post(
+        f"/modelTF/data-process/{task_id}/regenerate",
+        json={
+            "name": "保留旧发布数据",
+            "description": "更换生成配置后退出",
+            "process_type": "structured",
+            "config": {"generation_model_id": "model_2"},
+            "expected_updated_at": "2026-07-27T09:00:00Z",
+        },
+    )
+    assert regenerated.status_code == 200
+    original_output_dataset_id = store.tasks[task_id]["output_dataset_id"]
+    prepared_task = regenerated.json()["data"]["task"]
+    assert prepared_task["status"] == "completed"
+    assert prepared_task["output_dataset_id"] == original_output_dataset_id
+    assert prepared_task["output_count"] == 1
+    assert store.results[task_id][0]["id"] == "result_1"
+
+    detail = client.get(f"/modelTF/data-process/{task_id}")
+    assert detail.status_code == 200
+    detail_data = detail.json()["data"]
+    assert detail_data["status"] == "completed"
+    assert detail_data["output_dataset_id"] == original_output_dataset_id
+    assert detail_data["output_count"] == 1
+    assert len(detail_data["output_datasets"]) == 3
+    assert {item["id"] for item in detail_data["output_datasets"]} == published_ids
+    assert set(store.datasets) == published_ids
+    retained_results = client.get(f"/modelTF/data-process/{task_id}/results").json()["data"]
+    assert retained_results["total"] == 1
+    assert retained_results["items"][0]["id"] == "result_1"
+
+    monkeypatch.setattr(data_process_endpoint, "_run_generation", lambda *args: None)
+    started = client.post(f"/modelTF/data-process/{task_id}/generate")
+    assert started.status_code == 200
+    running = started.json()["data"]
+    assert running["status"] == "running"
+    assert running["output_count"] == 0
+    assert store.results[task_id] == []
+    assert set(store.datasets) == published_ids
+
+    running_detail = client.get(f"/modelTF/data-process/{task_id}").json()["data"]
+    assert running_detail["status"] == "running"
+    assert running_detail["output_dataset_id"] is None
+    assert running_detail["output_count"] == 0
+    assert {item["id"] for item in running_detail["output_datasets"]} == published_ids
+
 
 def test_regenerate_endpoint_validates_snapshot_and_locked_process_type(
     tmp_path: Path,
@@ -945,6 +1180,47 @@ def test_config_validation_and_stop_state(tmp_path: Path) -> None:
     assert stopped.json()["data"]["status"] == "stopped"
 
 
+@pytest.mark.parametrize("config_key", ["qa_pairs_per_row", "qa_pairs_per_chunk"])
+@pytest.mark.parametrize("count", [1, 50])
+def test_qa_pair_config_accepts_supported_boundaries(
+    tmp_path: Path,
+    config_key: str,
+    count: int,
+) -> None:
+    client, _, _ = make_client(tmp_path)
+    response = client.post(
+        "/modelTF/data-process",
+        json={
+            "name": "问答数量边界",
+            "process_type": "unstructured",
+            "config": {config_key: count},
+        },
+    )
+
+    assert response.status_code == 200
+
+
+@pytest.mark.parametrize("config_key", ["qa_pairs_per_row", "qa_pairs_per_chunk"])
+@pytest.mark.parametrize("count", [0, 51])
+def test_qa_pair_config_rejects_out_of_range_boundaries(
+    tmp_path: Path,
+    config_key: str,
+    count: int,
+) -> None:
+    client, _, _ = make_client(tmp_path)
+    response = client.post(
+        "/modelTF/data-process",
+        json={
+            "name": "问答数量越界",
+            "process_type": "unstructured",
+            "config": {config_key: count},
+        },
+    )
+
+    assert response.status_code == 422
+    assert "[1, 50]" in response.text
+
+
 def test_upload_batch_is_atomic_and_empty_files_are_rejected(tmp_path: Path) -> None:
     client, store, storage = make_client(tmp_path)
     task_id = client.post(

backend/tests/test_data_process_generation.py

@@ -3,8 +3,13 @@ from __future__ import annotations
 import json
 
 import httpx
+import pytest
 
-from app.modules.data_process.generation import chat_completions_url, generate_model_records
+from app.modules.data_process.generation import (
+    ModelGenerationError,
+    chat_completions_url,
+    generate_model_records,
+)
 
 
 def test_chat_completions_url_accepts_host_base_and_complete_url() -> None:
@@ -100,3 +105,165 @@ def test_generate_model_records_keeps_partial_failure_for_manual_repair() -> Non
     assert len(records) == 1
     assert records[0]["status"] == "invalid"
     assert records[0]["error"]
+
+
+def test_generate_model_records_batches_fifty_results_with_unique_ids() -> None:
+    requests: list[httpx.Request] = []
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        requests.append(request)
+        batch_start = (len(requests) - 1) * 10 + 1
+        batch_end = batch_start + 9
+        payload = json.loads(request.content)
+        system_prompt = payload["messages"][0]["content"]
+        assert "items 必须包含 10 条" in system_prompt
+        assert f"第 {batch_start}-{batch_end} 条" in system_prompt
+        return httpx.Response(
+            200,
+            json={
+                "choices": [
+                    {
+                        "message": {
+                            "content": json.dumps(
+                                {
+                                    "items": [
+                                        {
+                                            "instruction": "同一问题",
+                                            "input": "来源正文",
+                                            "output": "同一答案",
+                                        }
+                                        for _ in range(batch_start, batch_end + 1)
+                                    ]
+                                },
+                                ensure_ascii=False,
+                            )
+                        }
+                    }
+                ]
+            },
+        )
+
+    records = generate_model_records(
+        [{"id": "preview-50", "edited_content": "来源正文"}],
+        model={"name": "model", "api_url": "https://model.example/v1"},
+        config={},
+        task_id="task-50",
+        split={"train": 100, "validation": 0, "test": 0},
+        qa_pairs_per_item=50,
+        client=httpx.Client(transport=httpx.MockTransport(handler)),
+    )
+
+    assert len(requests) == 5
+    assert len(records) == 50
+    assert len({record["id"] for record in records}) == 50
+    assert {record["instruction"] for record in records} == {"同一问题"}
+    assert all(record["status"] == "valid" for record in records)
+
+
+def test_generate_model_records_preserves_successful_batches_when_one_fails() -> None:
+    request_count = 0
+
+    def handler(_: httpx.Request) -> httpx.Response:
+        nonlocal request_count
+        request_count += 1
+        if request_count == 2:
+            return httpx.Response(500)
+        return httpx.Response(
+            200,
+            json={
+                "choices": [
+                    {
+                        "message": {
+                            "content": json.dumps(
+                                {
+                                    "items": [
+                                        {
+                                            "instruction": f"问题 {index}",
+                                            "output": f"答案 {index}",
+                                        }
+                                        for index in range(1, 11)
+                                    ]
+                                },
+                                ensure_ascii=False,
+                            )
+                        }
+                    }
+                ]
+            },
+        )
+
+    records = generate_model_records(
+        [{"id": "preview-partial", "edited_content": "来源正文"}],
+        model={"name": "model", "api_url": "https://model.example/v1"},
+        config={"generation_retries": 0},
+        task_id="task-partial",
+        split={"train": 100, "validation": 0, "test": 0},
+        qa_pairs_per_item=20,
+        client=httpx.Client(transport=httpx.MockTransport(handler)),
+    )
+
+    assert len(records) == 11
+    assert sum(record["status"] == "valid" for record in records) == 10
+    failed = next(record for record in records if record["status"] == "invalid")
+    assert "第 11-20 条" in failed["instruction"]
+    assert len({record["id"] for record in records}) == len(records)
+
+
+def test_generate_model_records_retries_short_batch_then_marks_it_invalid() -> None:
+    request_count = 0
+
+    def handler(_: httpx.Request) -> httpx.Response:
+        nonlocal request_count
+        request_count += 1
+        return httpx.Response(
+            200,
+            json={
+                "choices": [
+                    {
+                        "message": {
+                            "content": json.dumps(
+                                {
+                                    "items": [
+                                        {
+                                            "instruction": "只有一条",
+                                            "output": "不足本批要求数量",
+                                        }
+                                    ]
+                                },
+                                ensure_ascii=False,
+                            )
+                        }
+                    }
+                ]
+            },
+        )
+
+    records = generate_model_records(
+        [{"id": "preview-short", "edited_content": "来源正文"}],
+        model={"name": "model", "api_url": "https://model.example/v1"},
+        config={"generation_retries": 1},
+        task_id="task-short",
+        split={"train": 100, "validation": 0, "test": 0},
+        qa_pairs_per_item=10,
+        client=httpx.Client(transport=httpx.MockTransport(handler)),
+    )
+
+    assert request_count == 2
+    assert len(records) == 1
+    assert records[0]["status"] == "invalid"
+    assert "expected 10, got 1" in records[0]["error"]
+
+
+@pytest.mark.parametrize("qa_pairs_per_item", [0, 51])
+def test_generate_model_records_rejects_out_of_range_count(
+    qa_pairs_per_item: int,
+) -> None:
+    with pytest.raises(ModelGenerationError, match=r"\[1, 50\]"):
+        generate_model_records(
+            [],
+            model={"name": "model", "api_url": "https://model.example/v1"},
+            config={},
+            task_id="task-invalid",
+            split={"train": 100, "validation": 0, "test": 0},
+            qa_pairs_per_item=qa_pairs_per_item,
+        )

backend/tests/test_data_process_store.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import json
 from collections.abc import Iterator
 from contextlib import contextmanager
 from decimal import Decimal
@@ -31,9 +32,13 @@ class _Result:
 
 
 class _PublishConnection:
-    def __init__(self, results: list[dict[str, Any]]):
+    def __init__(
+        self,
+        results: list[dict[str, Any]],
+        datasets: list[dict[str, Any]] | None = None,
+    ):
         self.results = results
-        self.datasets: list[dict[str, Any]] = []
+        self.datasets: list[dict[str, Any]] = datasets or []
         self.files: list[dict[str, Any]] = []
         self.records: list[dict[str, Any]] = []
 
@@ -47,16 +52,38 @@ class _PublishConnection:
             )
         if normalized.startswith("SELECT * FROM data_process_results"):
             return _Result(rows=self.results)
-        if normalized.startswith("SELECT * FROM datasets WHERE source_task_id"):
+        if normalized.startswith("SELECT * FROM datasets WHERE source='task'"):
-            return _Result(rows=self.datasets)
+            assert "source_task_id=%s" in normalized
+            assert "source_task_id IS NULL AND task_id=%s" in normalized
+            assert "deleted_at IS NULL" in normalized
+            source_task_id, legacy_task_id = params
+            return _Result(
+                rows=[
+                    item
+                    for item in self.datasets
+                    if item.get("source") == "task"
+                    and item.get("deleted_at") is None
+                    and (
+                        item.get("source_task_id") == source_task_id
+                        or (
+                            item.get("source_task_id") is None
+                            and item.get("task_id") == legacy_task_id
+                        )
+                    )
+                ]
+            )
         if normalized.startswith("INSERT INTO datasets"):
             dataset = {
                 "id": params[0],
                 "name": params[1],
                 "type": params[2],
+                "source": "task",
+                "task_id": params[4],
+                "source_task_id": params[5],
                 "count": params[8],
                 "record_count": params[9],
                 "metadata": params[11],
+                "deleted_at": None,
             }
             self.datasets.append(dataset)
             return _Result(row=dataset)
@@ -118,12 +145,34 @@ class _PublishStore(DataProcessStore):
 
 
 class _RegenerationConnection:
-    def __init__(self, task: dict[str, Any]) -> None:
+    def __init__(
+        self,
+        task: dict[str, Any],
+        datasets: list[dict[str, Any]] | None = None,
+    ) -> None:
         self.task = task
-        self.datasets = [
+        self.datasets = datasets or [
-            {"id": "dataset_train"},
+            {
-            {"id": "dataset_validation"},
+                "id": "dataset_train",
-            {"id": "dataset_test"},
+                "source": "task",
+                "task_id": task["id"],
+                "source_task_id": task["id"],
+                "deleted_at": None,
+            },
+            {
+                "id": "dataset_validation",
+                "source": "task",
+                "task_id": task["id"],
+                "source_task_id": task["id"],
+                "deleted_at": None,
+            },
+            {
+                "id": "dataset_test",
+                "source": "task",
+                "task_id": task["id"],
+                "source_task_id": task["id"],
+                "deleted_at": None,
+            },
         ]
         self.sources = [{"id": "source_1"}]
         self.previews = [{"id": "preview_1"}]
@@ -133,8 +182,35 @@ class _RegenerationConnection:
         normalized = " ".join(sql.split())
         if params is not None:
             assert normalized.count("%s") == len(params)
+        if normalized.startswith("UPDATE datasets SET source_task_id="):
+            source_task_id, _, legacy_task_id = params
+            for dataset in self.datasets:
+                if (
+                    dataset.get("source") == "task"
+                    and dataset.get("source_task_id") is None
+                    and dataset.get("task_id") == legacy_task_id
+                    and dataset.get("deleted_at") is None
+                ):
+                    dataset["source_task_id"] = source_task_id
+            return _Result()
         if normalized.startswith("SELECT EXISTS("):
-            return _Result(row={"exists": bool(self.datasets)})
+            assert "source_task_id=%s" in normalized
+            assert "source_task_id IS NULL AND task_id=%s" in normalized
+            assert "deleted_at IS NULL" in normalized
+            source_task_id, legacy_task_id = params
+            exists = any(
+                dataset.get("source") == "task"
+                and dataset.get("deleted_at") is None
+                and (
+                    dataset.get("source_task_id") == source_task_id
+                    or (
+                        dataset.get("source_task_id") is None
+                        and dataset.get("task_id") == legacy_task_id
+                    )
+                )
+                for dataset in self.datasets
+            )
+            return _Result(row={"exists": exists})
         if normalized.startswith("DELETE FROM data_process_results"):
             self.results.clear()
             return _Result()
@@ -149,18 +225,7 @@ class _RegenerationConnection:
                     "name": params[0],
                     "description": params[1],
                     "config": params[2],
-                    "status": "pending",
+                    "updated_at": params[3],
-                    "progress": params[3],
-                    "output_dataset_id": None,
-                    "output_count": 0,
-                    "filtered_count": 0,
-                    "duplicate_count": 0,
-                    "error_count": 0,
-                    "failure_reason": None,
-                    "generation_run_id": None,
-                    "started_at": None,
-                    "completed_at": None,
-                    "updated_at": params[4],
                 }
             )
             return _Result(row=dict(self.task))
@@ -183,6 +248,295 @@ class _RegenerationStore(DataProcessStore):
         return dict(self._conn.task)
 
 
+class _TaskDetailConnection:
+    def __init__(
+        self,
+        task: dict[str, Any],
+        datasets: list[dict[str, Any]],
+    ) -> None:
+        self.task = task
+        self.datasets = datasets
+
+    def execute(self, sql: str, params: Any = None) -> _Result:
+        normalized = " ".join(sql.split())
+        assert normalized.startswith("SELECT task.*")
+        assert "dataset.source_task_id=task.id" in normalized
+        assert "dataset.source_task_id IS NULL AND dataset.task_id=task.id" in normalized
+        assert "dataset.deleted_at IS NULL" in normalized
+        assert "dataset.metadata::jsonb" not in normalized
+        assert "WHEN 'train' THEN 'train'" in normalized
+        assert "WHEN 'val' THEN 'validation'" in normalized
+        assert "WHEN 'test' THEN 'test'" in normalized
+        task_id = params[0]
+        visible = [
+            dataset
+            for dataset in self.datasets
+            if dataset.get("source") == "task"
+            and dataset.get("deleted_at") is None
+            and (
+                dataset.get("source_task_id") == task_id
+                or (
+                    dataset.get("source_task_id") is None
+                    and dataset.get("task_id") == task_id
+                )
+            )
+        ]
+        return _Result(
+            row={
+                **self.task,
+                "output_datasets": json.dumps(
+                    [
+                        {
+                            "id": item["id"],
+                            "name": item["name"],
+                            "type": item["type"],
+                            "count": item["count"],
+                            "dataset_split": item["dataset_split"],
+                        }
+                        for item in visible
+                    ]
+                ),
+            }
+        )
+
+
+class _TaskDetailStore(DataProcessStore):
+    def __init__(self, conn: _TaskDetailConnection) -> None:
+        self._conn = conn
+
+    @contextmanager
+    def connect(self) -> Iterator[_TaskDetailConnection]:
+        yield self._conn
+
+
+class _TaskListConnection:
+    def __init__(self) -> None:
+        self.task = {
+            **_regeneration_task(
+                status="pending",
+                output_dataset_id=None,
+                output_count=17,
+            ),
+            "created_at": "2026-07-25T18:00:00Z",
+            "deleted_at": None,
+        }
+        self.sources = [
+            {"task_id": "task-1", "deleted_at": None},
+            {"task_id": "task-1", "deleted_at": None},
+            {"task_id": "task-1", "deleted_at": "2026-07-26T00:00:00Z"},
+        ]
+
+    def execute(self, sql: str, params: Any = None) -> _Result:
+        normalized = " ".join(sql.split())
+        if normalized.startswith("SELECT COUNT(*) AS count FROM data_process_tasks task"):
+            assert "task.deleted_at IS NULL" in normalized
+            return _Result(row={"count": 1})
+        assert normalized.startswith("SELECT task.*")
+        assert "source_file.task_id=task.id" in normalized
+        assert "source_file.deleted_at IS NULL" in normalized
+        source_file_count = sum(
+            item["task_id"] == self.task["id"] and item["deleted_at"] is None
+            for item in self.sources
+        )
+        return _Result(
+            rows=[
+                {
+                    **self.task,
+                    "source_file_count": source_file_count,
+                }
+            ]
+        )
+
+
+class _TaskListStore(DataProcessStore):
+    def __init__(self, conn: _TaskListConnection) -> None:
+        self._conn = conn
+
+    @contextmanager
+    def connect(self) -> Iterator[_TaskListConnection]:
+        yield self._conn
+
+
+class _LegacyRecoveryConnection:
+    def __init__(self) -> None:
+        self.task = {
+            **_regeneration_task(
+                status="pending",
+                progress=20,
+                output_dataset_id=None,
+                output_count=0,
+                generation_run_id=None,
+                started_at=None,
+                completed_at=None,
+            ),
+        }
+        self.datasets = [
+            {"id": "dataset_train", "type": "train", "count": 1, "created_at": "2026-07-25T18:12:00Z"},
+            {"id": "dataset_test", "type": "test", "count": 1, "created_at": "2026-07-25T18:12:00Z"},
+        ]
+        self.records = [
+            {
+                "id": "record_train",
+                "dataset_id": "dataset_train",
+                "line_no": 1,
+                "split": "train",
+                "instruction": "训练问题",
+                "input": "",
+                "output": "训练答案",
+                "raw": json.dumps(
+                    {
+                        "source_result_id": "result_train",
+                        "preview_item_id": "preview_1",
+                    }
+                ),
+                "status": "valid",
+                "source_result_id": None,
+                "preview_item_id": None,
+                "created_at": "2026-07-25T18:12:00Z",
+            },
+            {
+                "id": "record_test",
+                "dataset_id": "dataset_test",
+                "line_no": 1,
+                "split": "test",
+                "instruction": "测试问题",
+                "input": "输入",
+                "output": "测试答案",
+                "raw": json.dumps({"source_result_id": "result_test"}),
+                "status": "modified",
+                "source_result_id": None,
+                "preview_item_id": None,
+                "created_at": "2026-07-25T18:12:00Z",
+            },
+        ]
+        self.previews = [{"id": "preview_1"}]
+        self.results: list[dict[str, Any]] = []
+
+    def execute(self, sql: str, params: Any = None) -> _Result:
+        normalized = " ".join(sql.split())
+        if normalized.startswith("SELECT COUNT(*) AS count FROM data_process_results"):
+            return _Result(row={"count": len(self.results)})
+        if normalized.startswith("SELECT id, type, count, created_at FROM datasets"):
+            return _Result(rows=list(self.datasets))
+        if normalized.startswith("SELECT id, dataset_id, line_no, split"):
+            return _Result(rows=list(self.records))
+        if normalized.startswith("SELECT id FROM data_process_preview_items"):
+            return _Result(rows=list(self.previews))
+        if normalized.startswith("INSERT INTO data_process_results"):
+            self.results.append(
+                {
+                    "id": params[0],
+                    "task_id": params[1],
+                    "preview_item_id": params[2],
+                    "instruction": params[3],
+                    "input": params[4],
+                    "output": params[5],
+                    "status": params[9],
+                    "split": params[10],
+                }
+            )
+            return _Result()
+        if normalized.startswith("UPDATE dataset_records SET source_result_id="):
+            record = next(item for item in self.records if item["id"] == params[2])
+            record["source_result_id"] = params[0]
+            record["preview_item_id"] = params[1]
+            return _Result()
+        if normalized.startswith("UPDATE data_process_tasks SET status='completed'"):
+            self.task.update(
+                {
+                    "status": "completed",
+                    "progress": 100,
+                    "output_dataset_id": params[0],
+                    "output_count": params[1],
+                    "completed_at": params[3],
+                }
+            )
+            return _Result()
+        raise AssertionError(f"unexpected SQL: {normalized}")
+
+
+class _LegacyRecoveryStore(DataProcessStore):
+    def __init__(self, conn: _LegacyRecoveryConnection) -> None:
+        self._conn = conn
+
+    @contextmanager
+    def connect(self) -> Iterator[_LegacyRecoveryConnection]:
+        yield self._conn
+
+    def _task_in_connection(
+        self, conn: Any, task_id: str, *, for_update: bool = False
+    ) -> dict[str, Any]:
+        assert task_id == "task-1"
+        assert for_update is True
+        return dict(self._conn.task)
+
+
+class _StartGenerationConnection:
+    def __init__(self, *, published_prepared: bool = False, preview_count: int = 1) -> None:
+        config = {"chunk_method": "fixed", "temperature": 0.7}
+        if published_prepared:
+            config["_regeneration_prepared"] = {
+                "prepared": True,
+                "preview_invalidated": False,
+            }
+        self.task = {
+            **_regeneration_task(
+                status="completed" if published_prepared else "pending",
+                config=config,
+                output_dataset_id="dataset_train" if published_prepared else None,
+                output_count=28,
+            ),
+            "generation_run_id": None,
+        }
+        self.preview_count = preview_count
+        self.results = [{"id": "old-result"}]
+
+    def execute(self, sql: str, params: Any = None) -> _Result:
+        normalized = " ".join(sql.split())
+        if normalized.startswith("SELECT COUNT(*) AS count FROM data_process_preview_items"):
+            return _Result(row={"count": self.preview_count})
+        if normalized.startswith("DELETE FROM data_process_results"):
+            self.results.clear()
+            return _Result()
+        assert normalized.startswith("UPDATE data_process_tasks SET config=%s, status='running'")
+        assert "output_dataset_id=NULL" in normalized
+        assert "output_count=0" in normalized
+        self.task.update(
+            {
+                "config": params[0],
+                "status": "running",
+                "progress": 30,
+                "output_count": 0,
+                "output_dataset_id": None,
+                "failure_reason": None,
+                "started_at": params[1],
+                "completed_at": None,
+                "filtered_count": 0,
+                "duplicate_count": 0,
+                "error_count": 0,
+                "generation_run_id": params[2],
+                "updated_at": params[3],
+            }
+        )
+        return _Result(row=dict(self.task))
+
+
+class _StartGenerationStore(DataProcessStore):
+    def __init__(self, conn: _StartGenerationConnection) -> None:
+        self._conn = conn
+
+    @contextmanager
+    def connect(self) -> Iterator[_StartGenerationConnection]:
+        yield self._conn
+
+    def _task_in_connection(
+        self, conn: Any, task_id: str, *, for_update: bool = False
+    ) -> dict[str, Any]:
+        assert task_id == "task-1"
+        assert for_update is True
+        return dict(self._conn.task)
+
+
 def test_decode_row_serializes_postgres_numeric_values_as_json_numbers() -> None:
     decoded = _decode_row(
         {
@@ -194,6 +548,20 @@ def test_decode_row_serializes_postgres_numeric_values_as_json_numbers() -> None
     assert decoded == {"progress": 100.0, "duration_seconds": 389.0}
 
 
+def test_decode_row_decodes_aggregated_output_datasets_json() -> None:
+    decoded = _decode_row(
+        {
+            "id": "task-1",
+            "output_datasets": '[{"id":"dataset_train","type":"train"}]',
+        }
+    )
+
+    assert decoded == {
+        "id": "task-1",
+        "output_datasets": [{"id": "dataset_train", "type": "train"}],
+    }
+
+
 @pytest.mark.parametrize(
     ("process_type", "current", "next_config", "expected"),
     [
@@ -314,6 +682,119 @@ def _regeneration_task(**updates: Any) -> dict[str, Any]:
     return task
 
 
+def test_list_tasks_exposes_source_and_generation_counts() -> None:
+    page = _TaskListStore(_TaskListConnection()).list_tasks(page=1, page_size=20)
+
+    assert page["total"] == 1
+    assert page["page"] == 1
+    assert page["page_size"] == 20
+    item = page["items"][0]
+    assert item["status"] == "pending"
+    assert item["source_file_count"] == 2
+    assert item["output_count"] == 17
+    assert item["output_dataset_id"] is None
+
+
+def test_start_generation_clears_previous_output_count() -> None:
+    conn = _StartGenerationConnection()
+
+    task = _StartGenerationStore(conn).start_generation("task-1")
+
+    assert task["status"] == "running"
+    assert task["output_count"] == 0
+    assert conn.results == []
+
+
+def test_prepared_published_task_is_only_cleared_when_generation_starts() -> None:
+    conn = _StartGenerationConnection(published_prepared=True)
+
+    task = _StartGenerationStore(conn).start_generation("task-1")
+
+    assert task["status"] == "running"
+    assert task["output_dataset_id"] is None
+    assert task["output_count"] == 0
+    assert "_regeneration_prepared" not in task["config"]
+    assert conn.results == []
+
+
+def test_prepared_published_task_survives_generation_preflight_failure() -> None:
+    conn = _StartGenerationConnection(published_prepared=True, preview_count=0)
+
+    with pytest.raises(InvalidStateError, match="preview must be built"):
+        _StartGenerationStore(conn).start_generation("task-1")
+
+    assert conn.task["status"] == "completed"
+    assert conn.task["output_dataset_id"] == "dataset_train"
+    assert conn.task["output_count"] == 28
+    assert "_regeneration_prepared" in conn.task["config"]
+    assert conn.results == [{"id": "old-result"}]
+
+
+def test_legacy_aborted_regeneration_recovers_results_and_published_state() -> None:
+    conn = _LegacyRecoveryConnection()
+    store = _LegacyRecoveryStore(conn)
+
+    recovered = store.recover_legacy_aborted_regeneration("task-1")
+
+    assert recovered == {"recovered": True, "result_count": 2}
+    assert conn.task["status"] == "completed"
+    assert conn.task["progress"] == 100
+    assert conn.task["output_dataset_id"] == "dataset_train"
+    assert conn.task["output_count"] == 2
+    assert [item["id"] for item in conn.results] == ["result_train", "result_test"]
+    assert conn.results[0]["preview_item_id"] == "preview_1"
+    assert conn.results[1]["preview_item_id"] is None
+    assert conn.records[0]["source_result_id"] == "result_train"
+    assert conn.records[0]["preview_item_id"] == "preview_1"
+
+    repeated = store.recover_legacy_aborted_regeneration("task-1")
+    assert repeated == {"recovered": False, "result_count": 0}
+    assert len(conn.results) == 2
+
+
+def test_normal_pending_task_is_not_mistaken_for_legacy_regeneration() -> None:
+    conn = _LegacyRecoveryConnection()
+    conn.datasets = []
+    conn.records = []
+
+    result = _LegacyRecoveryStore(conn).recover_legacy_aborted_regeneration("task-1")
+
+    assert result == {"recovered": False, "result_count": 0}
+    assert conn.task["status"] == "pending"
+    assert conn.results == []
+
+
+def _legacy_published_datasets(task_id: str = "task-1") -> list[dict[str, Any]]:
+    specs = (
+        ("dataset_train", "制度问答-训练集", "train", "train", 22),
+        ("dataset_validation", "制度问答-验证集", "val", "validation", 3),
+        ("dataset_test", "制度问答-测试集", "test", "test", 3),
+    )
+    dataset_ids = {split: dataset_id for dataset_id, _, _, split, _ in specs}
+    return [
+        {
+            "id": dataset_id,
+            "name": name,
+            "type": dataset_type,
+            "source": "task",
+            "task_id": task_id,
+            "source_task_id": None,
+            "count": count,
+            "record_count": count,
+            "dataset_split": split,
+            "metadata": json.dumps(
+                {
+                    "base_dataset_name": "制度问答",
+                    "dataset_split": split,
+                    "split_dataset_ids": dataset_ids,
+                }
+            ),
+            "deleted_at": None,
+        }
+        for dataset_id, name, dataset_type, split, count in specs
+    ]
+
+
 def test_prepare_regeneration_preserves_outputs_sources_and_generation_only_preview() -> None:
     conn = _RegenerationConnection(_regeneration_task())
     original_datasets = list(conn.datasets)
@@ -332,19 +813,82 @@ def test_prepare_regeneration_preserves_outputs_sources_and_generation_only_prev
 
     assert result["preview_invalidated"] is False
     assert result["published_outputs_preserved"] is True
-    assert result["task"]["output_dataset_id"] is None
+    assert result["task"]["output_dataset_id"] == "dataset_train"
-    assert result["task"]["status"] == "pending"
+    assert result["task"]["status"] == "completed"
-    assert result["task"]["progress"] == 20
+    assert result["task"]["progress"] == 100
-    assert result["task"]["output_count"] == 0
+    assert result["task"]["output_count"] == 28
-    assert result["task"]["started_at"] is None
+    assert result["task"]["started_at"] == "2026-07-25T18:00:00Z"
-    assert result["task"]["completed_at"] is None
+    assert result["task"]["completed_at"] == "2026-07-25T18:05:00Z"
-    assert conn.results == []
+    assert "_regeneration_prepared" not in result["task"]["config"]
+    stored_config = json.loads(conn.task["config"])
+    assert stored_config["_regeneration_prepared"]["prepared"] is True
+    assert conn.results == [{"id": "result_1"}]
     assert conn.previews == [{"id": "preview_1"}]
     assert conn.datasets == original_datasets
     assert conn.sources == original_sources
 
 
-def test_prepare_regeneration_deletes_preview_when_chunk_configuration_changes() -> None:
+def test_prepare_regeneration_backfills_and_keeps_legacy_task_datasets_visible() -> None:
+    legacy_datasets = _legacy_published_datasets()
+    # 历史 metadata 可能不是合法 JSON，详情查询不能再依赖 metadata::jsonb。
+    legacy_datasets[0]["metadata"] = "{legacy-invalid-json"
+    deleted_dataset = {
+        **legacy_datasets[0],
+        "id": "dataset_deleted",
+        "name": "已删除训练集",
+        "deleted_at": "2026-07-25T20:00:00Z",
+    }
+    unrelated_dataset = {
+        **legacy_datasets[0],
+        "id": "dataset_unrelated",
+        "name": "其他任务训练集",
+        "task_id": "task-other",
+    }
+    conn = _RegenerationConnection(
+        _regeneration_task(),
+        [*legacy_datasets, deleted_dataset, unrelated_dataset],
+    )
+
+    before = _TaskDetailStore(_TaskDetailConnection(conn.task, conn.datasets)).get_task(
+        "task-1"
+    )
+    assert [item["id"] for item in before["output_datasets"]] == [
+        "dataset_train",
+        "dataset_validation",
+        "dataset_test",
+    ]
+
+    result = _RegenerationStore(conn).prepare_regeneration(
+        "task-1",
+        {
+            "name": "原任务",
+            "description": "",
+            "process_type": "unstructured",
+            "config": {"chunk_method": "fixed", "temperature": 0.2},
+            "expected_updated_at": "2026-07-25T18:05:00Z",
+        },
+    )
+
+    assert result["published_outputs_preserved"] is True
+    assert result["task"]["output_dataset_id"] == "dataset_train"
+    assert len(conn.datasets) == 5
+    assert all(
+        item["source_task_id"] == "task-1" for item in conn.datasets[:3]
+    )
+    assert deleted_dataset["source_task_id"] is None
+    assert unrelated_dataset["source_task_id"] is None
+
+    after = _TaskDetailStore(_TaskDetailConnection(conn.task, conn.datasets)).get_task(
+        "task-1"
+    )
+    assert [item["id"] for item in after["output_datasets"]] == [
+        "dataset_train",
+        "dataset_validation",
+        "dataset_test",
+    ]
+
+
+def test_prepare_regeneration_defers_preview_deletion_when_chunk_configuration_changes() -> None:
     conn = _RegenerationConnection(_regeneration_task(output_dataset_id=None))
 
     result = _RegenerationStore(conn).prepare_regeneration(
@@ -360,9 +904,11 @@ def test_prepare_regeneration_deletes_preview_when_chunk_configuration_changes()
 
     assert result["preview_invalidated"] is True
     assert result["published_outputs_preserved"] is True
-    assert result["task"]["progress"] == 0
+    assert result["task"]["status"] == "completed"
-    assert conn.previews == []
+    assert result["task"]["progress"] == 100
-    assert conn.results == []
+    assert result["task"]["output_count"] == 28
+    assert conn.previews == [{"id": "preview_1"}]
+    assert conn.results == [{"id": "result_1"}]
     assert len(conn.datasets) == 3
 
 
@@ -467,6 +1013,37 @@ def test_publish_creates_three_independent_datasets_with_exact_counts() -> None:
     assert republished["created"] is False
 
 
+def test_publish_reuses_legacy_task_id_only_split_datasets() -> None:
+    results = [
+        {
+            "id": f"result-{index}",
+            "status": "valid",
+            "instruction": f"问题 {index}",
+            "input": "",
+            "output": f"答案 {index}",
+            "preview_item_id": f"preview-{index}",
+        }
+        for index in range(10)
+    ]
+    legacy_datasets = _legacy_published_datasets()
+    original_ids = [item["id"] for item in legacy_datasets]
+    conn = _PublishConnection(results, legacy_datasets)
+
+    published = _PublishStore(conn).publish(
+        "task-1",
+        {
+            "dataset_name": "不会创建新数据集",
+            "storage_type": "local",
+            "format": "alpaca_jsonl",
+            "split": {"train": 80, "validation": 10, "test": 10},
+        },
+    )
+
+    assert published["created"] is False
+    assert [item["id"] for item in published["datasets"]] == original_ids
+    assert [item["id"] for item in conn.datasets] == original_ids
+
+
 def test_publish_keeps_all_three_datasets_when_a_small_split_is_empty() -> None:
     conn = _PublishConnection(
         [

frontend/dist/assets/AppConfirmDialog-B3AUVDne.js

@@ -1 +1 @@
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frontend/dist/assets/CompareChatView-CpVdTzIX.js

@@ -1 +1 @@
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+import{a as B,E as K}from"./el-form-item-Ct_zBuY0.js";import{E as M}from"./index-CbmPSBt0.js";import{E as h}from"./index-CCavIuTY.js";import{E as I}from"./el-tag-C_D80BPW.js";import{E as R}from"./el-divider-DF2VMDw-.js";import{E as F}from"./el-slider-CM3VEvCM.js";import{d as L,G as z,e as V,w as s,ac as D,y as $,o as f,s as a,x as p,q as j,c as k,ad as A,aa as b,f as E,M as G,g as J,v as O,z as H,j as _,A as P}from"./index-CGB0A5x_.js";import"./el-popper-DvBtRO32.js";import"./el-tooltip-l0sNRNKZ.js";import"./el-input-number-VAjRO6-I.js";import{P as Q}from"./PageCard-D1lOaeEG.js";import{u as W}from"./usePolling-B4Zfd6BY.js";import{a as X}from"./compare-ClXsFp7Q.js";import{a as Y}from"./status-Dl1fykxa.js";import{_ as Z}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./index-DMVRI44M.js";import"./debounce-Bqww2DS8.js";import"./toNumber-IRhFg6gN.js";import"./clamp-BqqU4KQ-.js";import"./index-BPwPlcbL.js";import"./index-CL2S8yHq.js";import"./el-card-BWcR1iD2.js";const tt={class:"model-list"},et={key:0,class:"empty-hint"},ot=L({__name:"CompareChatView",setup(at){const T=D(),y=O(),x=T.params.id,n=$(null),e=H({systemPrompt:"",question:"",temperature:.7,topP:.9,topK:40,maxTokens:2048}),m=_(()=>{var l;if(!((l=n.value)!=null&&l.load_status))return[];try{return(typeof n.value.load_status=="string"?JSON.parse(n.value.load_status):n.value.load_status).loaded_models||[]}catch{return[]}}),C=_(()=>m.value.length>0&&m.value.every(l=>l.status==="ready"||l.status==="running")),g=_(()=>m.value.some(l=>l.status==="starting"));async function c(){try{n.value=await X(x)}catch{}}function S(){var u,i;if(!e.question.trim()){P.warning("请输入问题");return}if(g.value){P.warning("模型仍在启动中，请稍候");return}const l=new URLSearchParams({taskId:x,taskName:((u=n.value)==null?void 0:u.model_name)||((i=n.value)==null?void 0:i.name)||"",question:e.question,systemPrompt:e.systemPrompt,temperature:String(e.temperature),topP:String(e.topP),topK:String(e.topK),maxTokens:String(e.maxTokens)}),t=y.resolve(`/model-compare/result?${l.toString()}`).href;window.open(t,"_blank")}const{start:q}=W(c,5e3,{immediate:!1});return z(async()=>{await c(),q()}),(l,t)=>{const u=R,i=I,v=M,r=B,d=F,w=h,U=K;return f(),V(Q,{title:"模型对比配置"},{default:s(()=>[a(u,{"content-position":"left"},{default:s(()=>[...t[7]||(t[7]=[p("已启动模型",-1)])]),_:1}),j("div",tt,[(f(!0),k(G,null,A(m.value,(o,N)=>(f(),V(i,{key:N,type:o.status==="ready"||o.status==="running"?"success":o.status==="starting"?"warning":"danger",size:"large"},{default:s(()=>[p(b(o.model_name)+" ("+b(E(Y)(o.status))+") ",1)]),_:2},1032,["type"]))),128)),m.value.length?J("",!0):(f(),k("span",et,"暂无已启动模型"))]),a(u,{"content-position":"left"},{default:s(()=>[...t[8]||(t[8]=[p("对话配置",-1)])]),_:1}),a(U,{"label-width":"120px",style:{"max-width":"700px"}},{default:s(()=>[a(r,{label:"系统提示词"},{default:s(()=>[a(v,{modelValue:e.systemPrompt,"onUpdate:modelValue":t[0]||(t[0]=o=>e.systemPrompt=o),type:"textarea",rows:3,placeholder:"可选"},null,8,["modelValue"])]),_:1}),a(r,{label:"问题"},{default:s(()=>[a(v,{modelValue:e.question,"onUpdate:modelValue":t[1]||(t[1]=o=>e.question=o),type:"textarea",rows:4,placeholder:"请输入要对比的问题"},null,8,["modelValue"])]),_:1}),a(r,{label:"Temperature"},{default:s(()=>[a(d,{modelValue:e.temperature,"onUpdate:modelValue":t[2]||(t[2]=o=>e.temperature=o),min:0,max:2,step:.1,"show-input":"",style:{"max-width":"500px"}},null,8,["modelValue"])]),_:1}),a(r,{label:"Top-p"},{default:s(()=>[a(d,{modelValue:e.topP,"onUpdate:modelValue":t[3]||(t[3]=o=>e.topP=o),min:0,max:1,step:.05,"show-input":"",style:{"max-width":"500px"}},null,8,["modelValue"])]),_:1}),a(r,{label:"Top-k"},{default:s(()=>[a(d,{modelValue:e.topK,"onUpdate:modelValue":t[4]||(t[4]=o=>e.topK=o),min:1,max:100,step:1,"show-input":"",style:{"max-width":"500px"}},null,8,["modelValue"])]),_:1}),a(r,{label:"Max Tokens"},{default:s(()=>[a(d,{modelValue:e.maxTokens,"onUpdate:modelValue":t[5]||(t[5]=o=>e.maxTokens=o),min:256,max:4096,step:128,"show-input":"",style:{"max-width":"500px"}},null,8,["modelValue"])]),_:1}),a(r,null,{default:s(()=>[a(w,{type:"primary",disabled:!C.value||g.value,onClick:S},{default:s(()=>[...t[9]||(t[9]=[p(" 开始对比 ",-1)])]),_:1},8,["disabled"]),a(w,{onClick:t[6]||(t[6]=o=>E(y).back())},{default:s(()=>[...t[10]||(t[10]=[p("返回",-1)])]),_:1})]),_:1})]),_:1})]),_:1})}}}),Ut=Z(ot,[["__scopeId","data-v-fbe74cb0"]]);export{Ut as default};

frontend/dist/assets/CompareResultView-CkSn_YGa.js

@@ -1 +1 @@
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+import{E as D}from"./el-alert-DBfM1mZE.js";import{E as $}from"./index-CCavIuTY.js";import{E as z}from"./el-tag-C_D80BPW.js";import{E as F}from"./el-card-BWcR1iD2.js";import{d as O,G as U,H as J,c as d,q as i,aa as c,f as v,s as N,w as m,M as K,ad as A,ac as G,y as g,o as r,x as p,e as y,g as H}from"./index-CGB0A5x_.js";import{_ as L}from"./MarkdownView.vue_vue_type_style_index_0_lang-DqO2Wm8-.js";import{a as W,c as j}from"./compare-ClXsFp7Q.js";import{_ as Q}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./vnode-DFpZw5lG.js";const X={class:"compare-result"},Y={class:"result-header"},Z={class:"header-actions"},tt={class:"result-grid"},et={class:"card-header"},st={class:"model-name"},ot={key:0,class:"error-text"},at={key:1,class:"streaming-text"},nt={key:3,class:"loading-text"},lt={key:4,class:"result-stats"},rt=O({__name:"CompareResultView",setup(it){const u=G(),q=u.query.taskId,k=decodeURIComponent(u.query.question||""),h=decodeURIComponent(u.query.systemPrompt||""),E=Number(u.query.temperature||.7),P=Number(u.query.topP||.9),I=Number(u.query.topK||40),b=Number(u.query.maxTokens||2048),w=u.query.taskName,l=g([]),C=g(!1),x=g([]),f=new Set;async function B(){if(!C.value){C.value=!0;try{const s=await W(q);let t=[];s.load_status&&(t=(typeof s.load_status=="string"?JSON.parse(s.load_status):s.load_status).loaded_models||[]),x.value=t,l.value=t.map(o=>({name:o.model_name||"模型",content:"",displayContent:"",isTyping:!1,status:"loading"})),await Promise.all(t.map((o,e)=>S(o,e)))}catch{}}}async function S(s,t){const o=Date.now();try{const e=await V(j({port:s.port,model_name:s.model_name,messages:[...h?[{role:"system",content:h}]:[],{role:"user",content:k}],temperature:E,top_p:P,top_k:I,max_tokens:b}),3e5),a=(e==null?void 0:e.response)||(e==null?void 0:e.content)||(e==null?void 0:e.data)||JSON.stringify(e),_=(Date.now()-o)/1e3;l.value[t].content=a,l.value[t].status="done",l.value[t].stats={totalTime:_,charsPerSec:_>0?Number((a.length/_).toFixed(1)):0},M(t,a)}catch(e){l.value[t].content="推理失败: "+(e.message||""),l.value[t].status="error"}}async function V(s,t){let o=null;try{return await Promise.race([s,new Promise((e,a)=>{o=setTimeout(()=>a(new Error("推理超时")),t)})])}finally{o&&clearTimeout(o)}}function M(s,t){let o=0;l.value[s].isTyping=!0;const e=Math.max(2,Math.ceil(t.length/30)),a=setInterval(()=>{o+=e,l.value[s].displayContent=t.slice(0,o),o>=t.length&&(clearInterval(a),f.delete(a),l.value[s].displayContent=t,l.value[s].isTyping=!1)},50);f.add(a)}return U(B),J(()=>{f.forEach(clearInterval),f.clear()}),(s,t)=>{const o=$,e=D,a=z,_=F;return r(),d("div",X,[i("div",Y,[i("h2",null,"对比结果"+c(v(w)?` - ${v(w)}`:""),1),i("div",Z,[N(o,{onClick:t[0]||(t[0]=n=>s.$router.push("/model-inference"))},{default:m(()=>[...t[1]||(t[1]=[p("返回列表",-1)])]),_:1})])]),N(e,{type:"info",closable:!1,"show-icon":"",class:"question-box"},{title:m(()=>[t[2]||(t[2]=i("strong",null,"问题：",-1)),p(c(v(k)),1)]),_:1}),i("div",tt,[(r(!0),d(K,null,A(l.value,(n,R)=>(r(),y(_,{key:R,shadow:"hover",class:"result-card"},{header:m(()=>[i("div",et,[i("span",st,c(n.name),1),n.status==="loading"?(r(),y(a,{key:0,type:"warning",size:"small"},{default:m(()=>[...t[3]||(t[3]=[p("生成中...",-1)])]),_:1})):n.status==="done"?(r(),y(a,{key:1,type:"success",size:"small"},{default:m(()=>[...t[4]||(t[4]=[p("完成",-1)])]),_:1})):(r(),y(a,{key:2,type:"danger",size:"small"},{default:m(()=>[...t[5]||(t[5]=[p("失败",-1)])]),_:1}))])]),default:m(()=>{var T;return[n.status==="error"?(r(),d("div",ot,c(n.content),1)):n.isTyping?(r(),d("div",at,c(n.displayContent),1)):n.displayContent?(r(),y(L,{key:2,content:n.displayContent},null,8,["content"])):(r(),d("div",nt,[...t[6]||(t[6]=[i("i",{class:"fa fa-spinner fa-spin"},null,-1),p(" 正在生成回答... ",-1)])])),n.stats?(r(),d("div",lt,[i("span",null,"耗时 "+c((T=n.stats.totalTime)==null?void 0:T.toFixed(1))+"s",1),i("span",null,"速度 "+c(n.stats.charsPerSec)+" 字/秒",1)])):H("",!0)]}),_:2},1024))),128))])])}}}),gt=Q(rt,[["__scopeId","data-v-8391f389"]]);export{gt as default};

frontend/dist/assets/DataConvertView-Oa7naRFQ.js

@@ -1 +1 @@
-import{a as N,E as v}from"./el-form-item-DGwcZKHQ.js";import{E as b}from"./el-popper-BY86ZM1h.js";import{E as O}from"./index-CoLjyrxq.js";import{E as S}from"./index-B2Z3XS2S.js";import{E as g,a as E}from"./el-select-DzauTPwe.js";import{d as J,e as V,w as e,o as w,q as t,s as l,x as i,z as x,A as C}from"./index-C8bRaOsd.js";import"./el-tooltip-l0sNRNKZ.js";import"./el-scrollbar-CMp13_RQ.js";import"./el-tag-11zBoTqA.js";import{P as U}from"./PageCard-BsRjYlIm.js";import{_ as y}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./castArray-CJvOrS5l.js";import"./_baseClone-vUmDCUMu.js";import"./index-DE1Gc93o.js";import"./index-BpW9Z31J.js";import"./raf-BqR8BX9r.js";import"./index-BRf1Q2lS.js";import"./vnode-B9WOR-0a.js";import"./index-BVldZEzQ.js";import"./scroll-DL9cY7fX.js";import"./clamp-CNwRTQDt.js";import"./toNumber-Bt8UgFrr.js";import"./_baseIteratee-7-PMrTPE.js";import"./el-card-BXAZ-Y4u.js";const F={class:"converter-panel"},L={class:"form-row"},T={class:"panel-footer"},B={class:"actions"},k=J({__name:"DataConvertView",setup(I){const a=x({outputName:"converted-data",encoding:"UTF-8"});function p(){C.info("当前仅完成界面设计，转换功能将在后续接入")}function d(){Object.assign(a,{outputName:"converted-data",encoding:"UTF-8"})}return(j,o)=>{const n=N,m=O,u=E,f=g,c=v,r=S,_=b;return w(),V(U,{class:"data-convert-page",title:"数据类型转换",subtitle:"将 JSON 文件转换为便于训练和评测使用的 JSONL 格式"},{default:e(()=>[t("div",F,[o[9]||(o[9]=t("div",{class:"panel-header"},[t("div",{class:"tool-icon","aria-hidden":"true"},[t("i",{class:"fa fa-exchange"})]),t("div",null,[t("h3",null,"JSON 转 JSONL"),t("p",null,"每条 JSON 数据将输出为 JSONL 文件中的一行记录")])],-1)),l(c,{class:"converter-form","label-position":"top"},{default:e(()=>[l(n,{label:"转换类型"},{default:e(()=>[...o[2]||(o[2]=[t("div",{class:"format-field","aria-label":"JSON 转 JSONL"},[t("span",null,"JSON"),t("i",{class:"fa fa-long-arrow-right","aria-hidden":"true"}),t("span",null,"JSONL")],-1)])]),_:1}),l(n,{label:"源文件",required:""},{default:e(()=>[t("button",{class:"upload-zone",type:"button",onClick:p},[...o[3]||(o[3]=[t("i",{class:"fa fa-cloud-upload","aria-hidden":"true"},null,-1),t("span",{class:"upload-content"},[t("strong",null,"点击选择或拖拽 JSON 文件到此处"),t("small",null,"仅支持 .json 格式，单文件不超过 200 MB")],-1),t("span",{class:"select-button"},"选择文件",-1)])])]),_:1}),t("div",L,[l(n,{label:"输出文件名"},{default:e(()=>[l(m,{modelValue:a.outputName,"onUpdate:modelValue":o[0]||(o[0]=s=>a.outputName=s)},{append:e(()=>[...o[4]||(o[4]=[i(".jsonl",-1)])]),_:1},8,["modelValue"])]),_:1}),l(n,{label:"字符编码"},{default:e(()=>[l(f,{modelValue:a.encoding,"onUpdate:modelValue":o[1]||(o[1]=s=>a.encoding=s),style:{width:"100%"}},{default:e(()=>[l(u,{label:"UTF-8",value:"UTF-8"})]),_:1},8,["modelValue"])]),_:1})]),o[5]||(o[5]=t("div",{class:"format-tip"},[t("i",{class:"fa fa-info-circle","aria-hidden":"true"}),t("span",null,"支持由 JSON 数组转换为 JSONL，每个数组元素输出为一行。")],-1))]),_:1}),t("div",T,[o[8]||(o[8]=t("span",{class:"prototype-label"},"当前为 UI 原型，暂不执行实际转换",-1)),t("div",B,[l(r,{onClick:d},{default:e(()=>[...o[6]||(o[6]=[i("重置",-1)])]),_:1}),l(_,{content:"转换功能将在后续开发中接入",placement:"top"},{default:e(()=>[t("span",null,[l(r,{type:"primary",disabled:""},{default:e(()=>[...o[7]||(o[7]=[i("开始转换",-1)])]),_:1})])]),_:1})])])])]),_:1})}}}),it=y(k,[["__scopeId","data-v-89a8493f"]]);export{it as default};
+import{a as N,E as v}from"./el-form-item-Ct_zBuY0.js";import{E as b}from"./el-popper-DvBtRO32.js";import{E as O}from"./index-CbmPSBt0.js";import{E as S}from"./index-CCavIuTY.js";import{E as g,a as E}from"./el-select-C59URVI0.js";import{d as J,e as V,w as e,o as w,q as t,s as l,x as i,z as x,A as C}from"./index-CGB0A5x_.js";import"./el-tooltip-l0sNRNKZ.js";import"./el-scrollbar-p6_f_LH2.js";import"./el-tag-C_D80BPW.js";import{P as U}from"./PageCard-D1lOaeEG.js";import{_ as y}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./index-DMVRI44M.js";import"./index-BPwPlcbL.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./vnode-DFpZw5lG.js";import"./index-khuXz7sd.js";import"./scroll-C0BSy_Rk.js";import"./clamp-BqqU4KQ-.js";import"./toNumber-IRhFg6gN.js";import"./_baseIteratee-uVh0OyD5.js";import"./el-card-BWcR1iD2.js";const F={class:"converter-panel"},L={class:"form-row"},T={class:"panel-footer"},B={class:"actions"},k=J({__name:"DataConvertView",setup(I){const a=x({outputName:"converted-data",encoding:"UTF-8"});function p(){C.info("当前仅完成界面设计，转换功能将在后续接入")}function d(){Object.assign(a,{outputName:"converted-data",encoding:"UTF-8"})}return(j,o)=>{const n=N,m=O,u=E,f=g,c=v,r=S,_=b;return w(),V(U,{class:"data-convert-page",title:"数据类型转换",subtitle:"将 JSON 文件转换为便于训练和评测使用的 JSONL 格式"},{default:e(()=>[t("div",F,[o[9]||(o[9]=t("div",{class:"panel-header"},[t("div",{class:"tool-icon","aria-hidden":"true"},[t("i",{class:"fa fa-exchange"})]),t("div",null,[t("h3",null,"JSON 转 JSONL"),t("p",null,"每条 JSON 数据将输出为 JSONL 文件中的一行记录")])],-1)),l(c,{class:"converter-form","label-position":"top"},{default:e(()=>[l(n,{label:"转换类型"},{default:e(()=>[...o[2]||(o[2]=[t("div",{class:"format-field","aria-label":"JSON 转 JSONL"},[t("span",null,"JSON"),t("i",{class:"fa fa-long-arrow-right","aria-hidden":"true"}),t("span",null,"JSONL")],-1)])]),_:1}),l(n,{label:"源文件",required:""},{default:e(()=>[t("button",{class:"upload-zone",type:"button",onClick:p},[...o[3]||(o[3]=[t("i",{class:"fa fa-cloud-upload","aria-hidden":"true"},null,-1),t("span",{class:"upload-content"},[t("strong",null,"点击选择或拖拽 JSON 文件到此处"),t("small",null,"仅支持 .json 格式，单文件不超过 200 MB")],-1),t("span",{class:"select-button"},"选择文件",-1)])])]),_:1}),t("div",L,[l(n,{label:"输出文件名"},{default:e(()=>[l(m,{modelValue:a.outputName,"onUpdate:modelValue":o[0]||(o[0]=s=>a.outputName=s)},{append:e(()=>[...o[4]||(o[4]=[i(".jsonl",-1)])]),_:1},8,["modelValue"])]),_:1}),l(n,{label:"字符编码"},{default:e(()=>[l(f,{modelValue:a.encoding,"onUpdate:modelValue":o[1]||(o[1]=s=>a.encoding=s),style:{width:"100%"}},{default:e(()=>[l(u,{label:"UTF-8",value:"UTF-8"})]),_:1},8,["modelValue"])]),_:1})]),o[5]||(o[5]=t("div",{class:"format-tip"},[t("i",{class:"fa fa-info-circle","aria-hidden":"true"}),t("span",null,"支持由 JSON 数组转换为 JSONL，每个数组元素输出为一行。")],-1))]),_:1}),t("div",T,[o[8]||(o[8]=t("span",{class:"prototype-label"},"当前为 UI 原型，暂不执行实际转换",-1)),t("div",B,[l(r,{onClick:d},{default:e(()=>[...o[6]||(o[6]=[i("重置",-1)])]),_:1}),l(_,{content:"转换功能将在后续开发中接入",placement:"top"},{default:e(()=>[t("span",null,[l(r,{type:"primary",disabled:""},{default:e(()=>[...o[7]||(o[7]=[i("开始转换",-1)])]),_:1})])]),_:1})])])])]),_:1})}}}),it=y(k,[["__scopeId","data-v-89a8493f"]]);export{it as default};

frontend/dist/assets/DataProcessListView-CGxdRb16.js

@@ -1 +0,0 @@
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frontend/dist/assets/DataProcessListView-CTap9XtA.js

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frontend/dist/assets/DataProcessListView-CaGXlwvz.css

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+.action-buttons[data-v-c2486738]{display:flex;justify-content:center;gap:8px}

frontend/dist/assets/DataProcessListView-D--2V8HO.css

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frontend/dist/assets/DatasetListView-HMv2DpwF.js

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frontend/dist/assets/DimensionCreateView-CcZFk0qp.js

@@ -1 +1 @@
-import{a as k,E as M}from"./el-form-item-DGwcZKHQ.js";import{E as q}from"./index-CoLjyrxq.js";import{E as R}from"./index-B2Z3XS2S.js";import{d as S,G as B,e as F,w as i,j as y,y as _,z as I,o as O,s as r,f as m,aB as P,x as h,aa as j,A as x,v as A,ac as L}from"./index-C8bRaOsd.js";import{P as N}from"./PageCard-BsRjYlIm.js";import{E as T,D as U}from"./DimensionFormFields-Z6GlC5an.js";import{b as z,u as G,c as H}from"./eval-DolMoghS.js";import{g as J}from"./model-CCFfanoR.js";import"./castArray-CJvOrS5l.js";import"./_baseClone-vUmDCUMu.js";import"./raf-BqR8BX9r.js";import"./index-BRf1Q2lS.js";import"./index-DE1Gc93o.js";import"./el-card-BXAZ-Y4u.js";import"./_plugin-vue_export-helper-DlAUqK2U.js";import"./el-select-DzauTPwe.js";import"./index-BpW9Z31J.js";import"./vnode-B9WOR-0a.js";import"./el-popper-BY86ZM1h.js";import"./el-scrollbar-CMp13_RQ.js";import"./index-BVldZEzQ.js";import"./el-tag-11zBoTqA.js";import"./scroll-DL9cY7fX.js";import"./clamp-CNwRTQDt.js";import"./toNumber-Bt8UgFrr.js";import"./_baseIteratee-7-PMrTPE.js";import"./el-checkbox-Jsj5DifU.js";import"./omit-BHHw65tB.js";import"./el-radio-group-akfy4TX6.js";import"./el-input-number-HkIYFERV.js";import"./index-COFtI18L.js";import"./el-slider-DwabRetH.js";import"./debounce-BADwekKz.js";import"./el-switch-CTejI77g.js";import"./validator-DZBWmtBZ.js";import"./el-tooltip-l0sNRNKZ.js";/* empty css                          */const Se=S({__name:"DimensionCreateView",setup(K){const c=L(),f=A(),n=_(),p=_(!1),u=y(()=>!!c.params.id),s=y(()=>c.params.id),d=_([]);let e=I({name:"",type:"",description:"",eval_model:"",eval_method:"",eval_prompt:"",is_active:!0,is_default:!1,bleu_n:1,output_precision:3,score_min:0,score_max:5,pass_threshold:3});const b={name:[{required:!0,message:"请输入维度名称",trigger:"blur"},{max:50,message:"不超过 50 字符",trigger:"blur"}],type:[{required:!0,message:"请选择指标类型",trigger:"change"}],eval_model:[{required:!0,message:"请选择大模型",trigger:"change"}],eval_method:[{required:!0,message:"请选择评估方式",trigger:"change"}],eval_prompt:[{required:!0,message:"请填写评估 Prompt",trigger:"blur"}]};async function w(){var o,t;if(s.value)try{const a=await z(s.value);Object.assign(e,{name:a.name||"",type:a.type||"",description:a.description||"",eval_model:a.eval_model||"",eval_method:a.eval_method||(a.type?(t=(o=T[a.type])==null?void 0:o[0])==null?void 0:t.value:""),eval_prompt:a.eval_prompt||"",is_active:a.is_active!==!1,is_default:!!a.is_default,bleu_n:a.bleu_n??1,output_precision:a.output_precision??3,score_min:a.score_min??0,score_max:a.score_max??5,pass_threshold:a.pass_threshold??3})}catch{}}async function E(){try{const o=await J()||[];d.value=o.filter(t=>t.purpose==="evaluation")}catch{d.value=[]}}async function D(){n.value&&await n.value.validate(async o=>{if(o){p.value=!0;try{const t={name:e.name,type:e.type,description:e.description,eval_model:e.type==="text_similarity"?null:e.eval_model,eval_method:e.eval_method,eval_prompt:e.type==="text_similarity"?null:e.eval_prompt,is_active:e.is_active,is_default:e.is_default,create_time:new Date().toISOString()};e.type==="text_similarity"&&(t.bleu_n=e.bleu_n,t.output_precision=e.output_precision),e.type==="metric"&&(t.score_min=e.score_min,t.score_max=e.score_max,t.pass_threshold=e.pass_threshold),u.value&&s.value?(await G(s.value,t),x.success("更新成功")):(await H(t),x.success("创建成功")),f.push("/model-eval")}catch{}finally{p.value=!1}}})}function V(){f.back()}return B(()=>{E(),w()}),(o,t)=>{const a=q,v=k,g=R,C=M;return O(),F(N,{title:u.value?"编辑评测维度":"添加评测维度"},{default:i(()=>[r(C,{ref_key:"formRef",ref:n,model:m(e),rules:b,"label-width":"130px",style:{"max-width":"760px"}},{default:i(()=>[r(v,{label:"维度名称",prop:"name"},{default:i(()=>[r(a,{modelValue:m(e).name,"onUpdate:modelValue":t[0]||(t[0]=l=>m(e).name=l),placeholder:"请输入维度名称",maxlength:"50","show-word-limit":""},null,8,["modelValue"])]),_:1}),r(U,{modelValue:m(e),"onUpdate:modelValue":t[1]||(t[1]=l=>P(e)?e.value=l:e=l),"eval-models":d.value},null,8,["modelValue","eval-models"]),r(v,null,{default:i(()=>[r(g,{type:"primary",loading:p.value,onClick:D},{default:i(()=>[h(j(u.value?"保存":"创建"),1)]),_:1},8,["loading"]),r(g,{onClick:V},{default:i(()=>[...t[2]||(t[2]=[h("取消",-1)])]),_:1})]),_:1})]),_:1},8,["model"])]),_:1},8,["title"])}}});export{Se as default};
+import{a as k,E as M}from"./el-form-item-Ct_zBuY0.js";import{E as q}from"./index-CbmPSBt0.js";import{E as R}from"./index-CCavIuTY.js";import{d as S,G as B,e as F,w as i,j as y,y as _,z as I,o as O,s as r,f as m,aB as P,x as h,aa as j,A as x,v as A,ac as L}from"./index-CGB0A5x_.js";import{P as N}from"./PageCard-D1lOaeEG.js";import{E as T,D as U}from"./DimensionFormFields-Dz4OI87j.js";import{b as z,u as G,c as H}from"./eval-CNlv4GHr.js";import{g as J}from"./model-xlHsHa68.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./index-DMVRI44M.js";import"./el-card-BWcR1iD2.js";import"./_plugin-vue_export-helper-DlAUqK2U.js";import"./el-select-C59URVI0.js";import"./index-BPwPlcbL.js";import"./vnode-DFpZw5lG.js";import"./el-popper-DvBtRO32.js";import"./el-scrollbar-p6_f_LH2.js";import"./index-khuXz7sd.js";import"./el-tag-C_D80BPW.js";import"./scroll-C0BSy_Rk.js";import"./clamp-BqqU4KQ-.js";import"./toNumber-IRhFg6gN.js";import"./_baseIteratee-uVh0OyD5.js";import"./el-checkbox-Ci1DH0Aj.js";import"./omit-DaFv1hTo.js";import"./el-radio-group-B7nPUe8-.js";import"./el-input-number-VAjRO6-I.js";import"./index-CL2S8yHq.js";import"./el-slider-CM3VEvCM.js";import"./debounce-Bqww2DS8.js";import"./el-switch-ZjdGiO6T.js";import"./validator-D7tSoy2w.js";import"./el-tooltip-l0sNRNKZ.js";/* empty css                          */const Se=S({__name:"DimensionCreateView",setup(K){const c=L(),f=A(),n=_(),p=_(!1),u=y(()=>!!c.params.id),s=y(()=>c.params.id),d=_([]);let e=I({name:"",type:"",description:"",eval_model:"",eval_method:"",eval_prompt:"",is_active:!0,is_default:!1,bleu_n:1,output_precision:3,score_min:0,score_max:5,pass_threshold:3});const b={name:[{required:!0,message:"请输入维度名称",trigger:"blur"},{max:50,message:"不超过 50 字符",trigger:"blur"}],type:[{required:!0,message:"请选择指标类型",trigger:"change"}],eval_model:[{required:!0,message:"请选择大模型",trigger:"change"}],eval_method:[{required:!0,message:"请选择评估方式",trigger:"change"}],eval_prompt:[{required:!0,message:"请填写评估 Prompt",trigger:"blur"}]};async function w(){var o,t;if(s.value)try{const a=await z(s.value);Object.assign(e,{name:a.name||"",type:a.type||"",description:a.description||"",eval_model:a.eval_model||"",eval_method:a.eval_method||(a.type?(t=(o=T[a.type])==null?void 0:o[0])==null?void 0:t.value:""),eval_prompt:a.eval_prompt||"",is_active:a.is_active!==!1,is_default:!!a.is_default,bleu_n:a.bleu_n??1,output_precision:a.output_precision??3,score_min:a.score_min??0,score_max:a.score_max??5,pass_threshold:a.pass_threshold??3})}catch{}}async function E(){try{const o=await J()||[];d.value=o.filter(t=>t.purpose==="evaluation")}catch{d.value=[]}}async function D(){n.value&&await n.value.validate(async o=>{if(o){p.value=!0;try{const t={name:e.name,type:e.type,description:e.description,eval_model:e.type==="text_similarity"?null:e.eval_model,eval_method:e.eval_method,eval_prompt:e.type==="text_similarity"?null:e.eval_prompt,is_active:e.is_active,is_default:e.is_default,create_time:new Date().toISOString()};e.type==="text_similarity"&&(t.bleu_n=e.bleu_n,t.output_precision=e.output_precision),e.type==="metric"&&(t.score_min=e.score_min,t.score_max=e.score_max,t.pass_threshold=e.pass_threshold),u.value&&s.value?(await G(s.value,t),x.success("更新成功")):(await H(t),x.success("创建成功")),f.push("/model-eval")}catch{}finally{p.value=!1}}})}function V(){f.back()}return B(()=>{E(),w()}),(o,t)=>{const a=q,v=k,g=R,C=M;return O(),F(N,{title:u.value?"编辑评测维度":"添加评测维度"},{default:i(()=>[r(C,{ref_key:"formRef",ref:n,model:m(e),rules:b,"label-width":"130px",style:{"max-width":"760px"}},{default:i(()=>[r(v,{label:"维度名称",prop:"name"},{default:i(()=>[r(a,{modelValue:m(e).name,"onUpdate:modelValue":t[0]||(t[0]=l=>m(e).name=l),placeholder:"请输入维度名称",maxlength:"50","show-word-limit":""},null,8,["modelValue"])]),_:1}),r(U,{modelValue:m(e),"onUpdate:modelValue":t[1]||(t[1]=l=>P(e)?e.value=l:e=l),"eval-models":d.value},null,8,["modelValue","eval-models"]),r(v,null,{default:i(()=>[r(g,{type:"primary",loading:p.value,onClick:D},{default:i(()=>[h(j(u.value?"保存":"创建"),1)]),_:1},8,["loading"]),r(g,{onClick:V},{default:i(()=>[...t[2]||(t[2]=[h("取消",-1)])]),_:1})]),_:1})]),_:1},8,["model"])]),_:1},8,["title"])}}});export{Se as default};

frontend/dist/assets/EvalView-CnH5RcpQ.js

@@ -1 +1 @@
-import{E as V}from"./index-B2Z3XS2S.js";import{E as $}from"./el-table-48yEgKcK.js";import{d as B,G as D,c as T,e as _,w as o,g as C,y as p,o as v,s as a,q as i,x as b,aa as L,n as c,v as N,A as z}from"./index-C8bRaOsd.js";import{E as M}from"./index-CKkhcTW-.js";import"./el-tag-11zBoTqA.js";import"./el-checkbox-Jsj5DifU.js";import{D as y}from"./DataTablePage-BByewB8Y.js";import{_ as A}from"./ModelStatusTag.vue_vue_type_script_setup_true_lang-hMjP8G6o.js";import{g as G,d as P}from"./eval-DolMoghS.js";import{_ as R}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./el-scrollbar-CMp13_RQ.js";import"./index-DE1Gc93o.js";import"./el-popper-BY86ZM1h.js";import"./index-BpW9Z31J.js";import"./_baseClone-vUmDCUMu.js";import"./_baseIteratee-7-PMrTPE.js";import"./castArray-CJvOrS5l.js";import"./debounce-BADwekKz.js";import"./toNumber-Bt8UgFrr.js";import"./raf-BqR8BX9r.js";import"./validator-DZBWmtBZ.js";import"./index-BIY0gTx5.js";import"./clamp-CNwRTQDt.js";import"./index-CMlv-HLm.js";import"./scroll-DL9cY7fX.js";import"./index-CoLjyrxq.js";import"./index-BRf1Q2lS.js";import"./omit-BHHw65tB.js";import"./el-card-BXAZ-Y4u.js";import"./el-pagination-Ca9Xqxww.js";import"./el-select-DzauTPwe.js";import"./vnode-B9WOR-0a.js";import"./index-BVldZEzQ.js";import"./directive-D_bJoBNR.js";import"./el-tooltip-l0sNRNKZ.js";import"./status-Dl1fykxa.js";const S={class:"eval-page"},q={class:"capsule-tabs"},I={class:"capsule-tabs"},Q=B({__name:"EvalView",setup(j){const f=N(),s=p("tasks"),d=p(!1),n=p([]),w=p([{rank:1,name:"GPT-4",score:92.5},{rank:2,name:"Claude-3",score:90.1},{rank:3,name:"Qwen-Max",score:85.3}]);async function u(){d.value=!0;try{n.value=await G()||[]}catch{n.value=[]}finally{d.value=!1}}async function k(r){await M.confirm("确定要删除这个评测任务吗？","确认删除",{type:"warning"}),await P(r.id),n.value=n.value.filter(e=>e.id!==r.id),z.success("删除成功"),await u()}function E(){f.push("/model-eval/create")}function m(r){return s.value===r}function x(r){f.push({name:"model-eval-detail",params:{id:r.id}})}return D(()=>{u()}),(r,e)=>{const l=$,g=V;return v(),T("div",S,[s.value==="tasks"?(v(),_(y,{key:0,title:"",data:n.value,loading:d.value,"delete-fn":k,"create-text":"创建评测任务",onCreate:E,"row-key":"id",onRefresh:u},{title:o(()=>[i("div",q,[i("button",{class:c(["capsule-tab-item",{active:m("tasks")}]),onClick:e[0]||(e[0]=t=>s.value="tasks")},"评测任务",2),i("button",{class:c(["capsule-tab-item",{active:m("leaderboard")}]),onClick:e[1]||(e[1]=t=>s.value="leaderboard")},"排行榜",2)])]),columns:o(()=>[a(l,{label:"任务名称",prop:"eval_task_name",align:"center"}),a(l,{label:"评测模型",prop:"model_name",align:"center"}),a(l,{label:"数据集",prop:"dataset",align:"center"}),a(l,{label:"指标",prop:"metric",align:"center"}),a(l,{label:"评分",prop:"score",width:"100",align:"center"}),a(l,{label:"状态",width:"100",align:"center"},{default:o(({row:t})=>[a(A,{status:t.status},null,8,["status"])]),_:1}),a(l,{label:"创建时间",align:"center",width:"180"},{default:o(({row:t})=>[b(L(t.create_time?new Date(t.create_time).toLocaleString("zh-CN"):"-"),1)]),_:1})]),actions:o(({row:t})=>[a(g,{link:"",type:"primary",size:"small",onClick:h=>x(t)},{default:o(()=>[...e[4]||(e[4]=[i("i",{class:"fa fa-file-text-o",style:{"margin-right":"4px"}},null,-1),b("详情 ",-1)])]),_:1},8,["onClick"]),a(g,{link:"",type:"danger",size:"small",onClick:h=>k(t)},{default:o(()=>[...e[5]||(e[5]=[i("i",{class:"fa fa-trash-o",style:{"margin-right":"4px"}},null,-1),b("删除 ",-1)])]),_:1},8,["onClick"])]),_:1},8,["data","loading"])):C("",!0),s.value==="leaderboard"?(v(),_(y,{key:1,title:"",data:w.value,"row-key":"rank"},{title:o(()=>[i("div",I,[i("button",{class:c(["capsule-tab-item",{active:m("tasks")}]),onClick:e[2]||(e[2]=t=>s.value="tasks")},"评测任务",2),i("button",{class:c(["capsule-tab-item",{active:m("leaderboard")}]),onClick:e[3]||(e[3]=t=>s.value="leaderboard")},"排行榜",2)])]),columns:o(()=>[a(l,{label:"排名",prop:"rank",width:"80",align:"center"}),a(l,{label:"模型名称",prop:"name",align:"center"}),a(l,{label:"综合评分",prop:"score",align:"center"})]),_:1},8,["data"])):C("",!0)])}}}),Ve=R(Q,[["__scopeId","data-v-894b0bb7"]]);export{Ve as default};
+import{E as V}from"./index-CCavIuTY.js";import{E as $}from"./el-table-DkdQ6gPU.js";import{d as B,G as D,c as T,e as _,w as o,g as C,y as p,o as v,s as a,q as i,x as b,aa as L,n as c,v as N,A as z}from"./index-CGB0A5x_.js";import{E as M}from"./index-BMrs0kLP.js";import"./el-tag-C_D80BPW.js";import"./el-checkbox-Ci1DH0Aj.js";import{D as y}from"./DataTablePage-CURtmoAI.js";import{_ as A}from"./ModelStatusTag.vue_vue_type_script_setup_true_lang-NhrqSCT2.js";import{g as G,d as P}from"./eval-CNlv4GHr.js";import{_ as R}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./el-scrollbar-p6_f_LH2.js";import"./index-DMVRI44M.js";import"./el-popper-DvBtRO32.js";import"./index-BPwPlcbL.js";import"./_baseClone-CX1E8HTZ.js";import"./_baseIteratee-uVh0OyD5.js";import"./castArray-Cgg396Sr.js";import"./debounce-Bqww2DS8.js";import"./toNumber-IRhFg6gN.js";import"./raf-CCivjDro.js";import"./validator-D7tSoy2w.js";import"./index-Coa9QRND.js";import"./clamp-BqqU4KQ-.js";import"./index-C5EKbiob.js";import"./scroll-C0BSy_Rk.js";import"./index-CbmPSBt0.js";import"./index-D2-3cnGo.js";import"./omit-DaFv1hTo.js";import"./el-card-BWcR1iD2.js";import"./el-pagination-DGQ0vO_O.js";import"./el-select-C59URVI0.js";import"./vnode-DFpZw5lG.js";import"./index-khuXz7sd.js";import"./directive-vzjADwzS.js";import"./el-tooltip-l0sNRNKZ.js";import"./status-Dl1fykxa.js";const S={class:"eval-page"},q={class:"capsule-tabs"},I={class:"capsule-tabs"},Q=B({__name:"EvalView",setup(j){const f=N(),s=p("tasks"),d=p(!1),n=p([]),w=p([{rank:1,name:"GPT-4",score:92.5},{rank:2,name:"Claude-3",score:90.1},{rank:3,name:"Qwen-Max",score:85.3}]);async function u(){d.value=!0;try{n.value=await G()||[]}catch{n.value=[]}finally{d.value=!1}}async function k(r){await M.confirm("确定要删除这个评测任务吗？","确认删除",{type:"warning"}),await P(r.id),n.value=n.value.filter(e=>e.id!==r.id),z.success("删除成功"),await u()}function E(){f.push("/model-eval/create")}function m(r){return s.value===r}function x(r){f.push({name:"model-eval-detail",params:{id:r.id}})}return D(()=>{u()}),(r,e)=>{const l=$,g=V;return v(),T("div",S,[s.value==="tasks"?(v(),_(y,{key:0,title:"",data:n.value,loading:d.value,"delete-fn":k,"create-text":"创建评测任务",onCreate:E,"row-key":"id",onRefresh:u},{title:o(()=>[i("div",q,[i("button",{class:c(["capsule-tab-item",{active:m("tasks")}]),onClick:e[0]||(e[0]=t=>s.value="tasks")},"评测任务",2),i("button",{class:c(["capsule-tab-item",{active:m("leaderboard")}]),onClick:e[1]||(e[1]=t=>s.value="leaderboard")},"排行榜",2)])]),columns:o(()=>[a(l,{label:"任务名称",prop:"eval_task_name",align:"center"}),a(l,{label:"评测模型",prop:"model_name",align:"center"}),a(l,{label:"数据集",prop:"dataset",align:"center"}),a(l,{label:"指标",prop:"metric",align:"center"}),a(l,{label:"评分",prop:"score",width:"100",align:"center"}),a(l,{label:"状态",width:"100",align:"center"},{default:o(({row:t})=>[a(A,{status:t.status},null,8,["status"])]),_:1}),a(l,{label:"创建时间",align:"center",width:"180"},{default:o(({row:t})=>[b(L(t.create_time?new Date(t.create_time).toLocaleString("zh-CN"):"-"),1)]),_:1})]),actions:o(({row:t})=>[a(g,{link:"",type:"primary",size:"small",onClick:h=>x(t)},{default:o(()=>[...e[4]||(e[4]=[i("i",{class:"fa fa-file-text-o",style:{"margin-right":"4px"}},null,-1),b("详情 ",-1)])]),_:1},8,["onClick"]),a(g,{link:"",type:"danger",size:"small",onClick:h=>k(t)},{default:o(()=>[...e[5]||(e[5]=[i("i",{class:"fa fa-trash-o",style:{"margin-right":"4px"}},null,-1),b("删除 ",-1)])]),_:1},8,["onClick"])]),_:1},8,["data","loading"])):C("",!0),s.value==="leaderboard"?(v(),_(y,{key:1,title:"",data:w.value,"row-key":"rank"},{title:o(()=>[i("div",I,[i("button",{class:c(["capsule-tab-item",{active:m("tasks")}]),onClick:e[2]||(e[2]=t=>s.value="tasks")},"评测任务",2),i("button",{class:c(["capsule-tab-item",{active:m("leaderboard")}]),onClick:e[3]||(e[3]=t=>s.value="leaderboard")},"排行榜",2)])]),columns:o(()=>[a(l,{label:"排名",prop:"rank",width:"80",align:"center"}),a(l,{label:"模型名称",prop:"name",align:"center"}),a(l,{label:"综合评分",prop:"score",align:"center"})]),_:1},8,["data"])):C("",!0)])}}}),Ve=R(Q,[["__scopeId","data-v-894b0bb7"]]);export{Ve as default};

frontend/dist/assets/GuideView-0IY716sm.js

@@ -1 +1 @@
-import{_ as s}from"./_plugin-vue_export-helper-DlAUqK2U.js";import{o as t,c,q as o}from"./index-C8bRaOsd.js";const n={},r={class:"simple-page"};function a(_,e){return t(),c("section",r,[...e[0]||(e[0]=[o("h1",null,"使用文档",-1),o("p",null,"第一版系统已接入后端、数据集、模型、微调任务、算力节点和训练日志主链路。",-1)])])}const p=s(n,[["render",a],["__scopeId","data-v-962c8803"]]);export{p as default};
+import{_ as s}from"./_plugin-vue_export-helper-DlAUqK2U.js";import{o as t,c,q as o}from"./index-CGB0A5x_.js";const n={},r={class:"simple-page"};function a(_,e){return t(),c("section",r,[...e[0]||(e[0]=[o("h1",null,"使用文档",-1),o("p",null,"第一版系统已接入后端、数据集、模型、微调任务、算力节点和训练日志主链路。",-1)])])}const p=s(n,[["render",a],["__scopeId","data-v-962c8803"]]);export{p as default};

frontend/dist/assets/InferenceCreateView-DeU4bilY.js

@@ -1 +1 @@
-import{E as T}from"./el-alert-CdZFij8S.js";import{a as A,E as D}from"./el-form-item-DGwcZKHQ.js";import{E as L}from"./index-CoLjyrxq.js";import{E as j}from"./index-B2Z3XS2S.js";import{E as z,b as H,a as J}from"./el-select-DzauTPwe.js";import{E as K}from"./el-divider-sRU3cxL5.js";import{d as Q,G as W,e as i,w as o,at as X,y as u,z as Y,o as s,s as a,x as b,c as v,ad as k,M as w,g as Z,j as p,A as B,v as ee}from"./index-C8bRaOsd.js";import"./el-scrollbar-CMp13_RQ.js";import"./el-popper-BY86ZM1h.js";import"./el-tag-11zBoTqA.js";import{P as te}from"./PageCard-BsRjYlIm.js";import{g as le,a as ae}from"./model-CCFfanoR.js";import"./vnode-B9WOR-0a.js";import"./castArray-CJvOrS5l.js";import"./_baseClone-vUmDCUMu.js";import"./raf-BqR8BX9r.js";import"./index-BRf1Q2lS.js";import"./index-DE1Gc93o.js";import"./index-BpW9Z31J.js";import"./index-BVldZEzQ.js";import"./scroll-DL9cY7fX.js";import"./clamp-CNwRTQDt.js";import"./toNumber-Bt8UgFrr.js";import"./_baseIteratee-7-PMrTPE.js";import"./el-card-BXAZ-Y4u.js";import"./_plugin-vue_export-helper-DlAUqK2U.js";const Ge=Q({__name:"InferenceCreateView",setup(oe){const E=ee(),f=u(),c=u(!1),m=u(""),V=u([]),h=u([]),_=u([]),x=p(()=>V.value.map(t=>({key:`db-${t.id}`,id:t.id,name:t.name,source:"database",model_path:t.path||""}))),M=p(()=>h.value.map(t=>({key:`trained-${t.id}`,id:t.id,name:t.name,source:"trained",model_path:t.merged_path||t.base_model_path||"",merged:t.merged,merging:t.merging,disabled:t.merged===!1}))),G=p(()=>{const t={};for(const e of[...x.value,...M.value])t[e.key]=e;return t}),n=Y({name:"",description:"",model_key:"",gpu_id:0}),I={name:[{required:!0,message:"请输入推理名称",trigger:"blur"}],model_key:[{required:!0,message:"请选择模型",trigger:"change"}]},O=p(()=>G.value[n.model_key]);async function S(){f.value&&await f.value.validate(async t=>{if(!t)return;const e=O.value;if(!e){B.warning("请选择模型");return}c.value=!0,m.value="正在启动模型服务...";try{await new Promise(r=>setTimeout(r,1200)),B.success("模型已启动"),E.push({path:"/model-inference/chat/mock",query:{model:e.name}})}finally{c.value=!1,m.value=""}})}function $(){E.back()}async function q(){try{const[t,e,r]=await Promise.all([le(),ae(),X()]);V.value=t||[],h.value=(e==null?void 0:e.models)||[],_.value=(r==null?void 0:r.gpu)||[],_.value.length>0&&(n.gpu_id=0)}catch{}}return W(q),(t,e)=>{const r=L,d=A,F=K,g=J,C=H,P=z,N=T,U=j,R=D;return s(),i(te,{title:"新建推理"},{default:o(()=>[a(R,{ref_key:"formRef",ref:f,model:n,rules:I,"label-width":"100px"},{default:o(()=>[a(d,{label:"推理名称",prop:"name"},{default:o(()=>[a(r,{modelValue:n.name,"onUpdate:modelValue":e[0]||(e[0]=l=>n.name=l),placeholder:"请输入推理名称",maxlength:"50","show-word-limit":"",style:{"max-width":"400px"}},null,8,["modelValue"])]),_:1}),a(d,{label:"描述"},{default:o(()=>[a(r,{modelValue:n.description,"onUpdate:modelValue":e[1]||(e[1]=l=>n.description=l),type:"textarea",rows:2,maxlength:"200","show-word-limit":"",style:{"max-width":"400px"}},null,8,["modelValue"])]),_:1}),a(F,{"content-position":"left"},{default:o(()=>[...e[4]||(e[4]=[b("选择模型",-1)])]),_:1}),a(d,{label:"选择模型",prop:"model_key"},{default:o(()=>[a(P,{modelValue:n.model_key,"onUpdate:modelValue":e[2]||(e[2]=l=>n.model_key=l),placeholder:"请选择模型",filterable:"",style:{width:"400px"}},{default:o(()=>[a(C,{label:"本地模型"},{default:o(()=>[(s(!0),v(w,null,k(x.value,l=>(s(),i(g,{key:l.key,label:l.name,value:l.key},null,8,["label","value"]))),128))]),_:1}),a(C,{label:"已训练模型"},{default:o(()=>[(s(!0),v(w,null,k(M.value,l=>(s(),i(g,{key:l.key,label:l.name+(l.disabled?"（未合并）":""),value:l.key,disabled:l.disabled},null,8,["label","value","disabled"]))),128))]),_:1})]),_:1},8,["modelValue"])]),_:1}),a(d,{label:"GPU"},{default:o(()=>[a(P,{modelValue:n.gpu_id,"onUpdate:modelValue":e[3]||(e[3]=l=>n.gpu_id=l),style:{width:"400px"}},{default:o(()=>[(s(!0),v(w,null,k(_.value,(l,y)=>(s(),i(g,{key:y,label:`${l.name} (GPU${y})`,value:y},null,8,["label","value"]))),128))]),_:1},8,["modelValue"])]),_:1}),m.value?(s(),i(d,{key:0,label:"启动状态"},{default:o(()=>[a(N,{title:m.value,type:"info",closable:!1,"show-icon":""},null,8,["title"])]),_:1})):Z("",!0),a(d,null,{default:o(()=>[a(U,{type:"primary",loading:c.value,onClick:S},{default:o(()=>[...e[5]||(e[5]=[b("开始推理",-1)])]),_:1},8,["loading"]),a(U,{onClick:$},{default:o(()=>[...e[6]||(e[6]=[b("取消",-1)])]),_:1})]),_:1})]),_:1},8,["model"])]),_:1})}}});export{Ge as default};
+import{E as T}from"./el-alert-DBfM1mZE.js";import{a as A,E as D}from"./el-form-item-Ct_zBuY0.js";import{E as L}from"./index-CbmPSBt0.js";import{E as j}from"./index-CCavIuTY.js";import{E as z,b as H,a as J}from"./el-select-C59URVI0.js";import{E as K}from"./el-divider-DF2VMDw-.js";import{d as Q,G as W,e as i,w as o,at as X,y as u,z as Y,o as s,s as a,x as b,c as v,ad as k,M as w,g as Z,j as p,A as B,v as ee}from"./index-CGB0A5x_.js";import"./el-scrollbar-p6_f_LH2.js";import"./el-popper-DvBtRO32.js";import"./el-tag-C_D80BPW.js";import{P as te}from"./PageCard-D1lOaeEG.js";import{g as le,a as ae}from"./model-xlHsHa68.js";import"./vnode-DFpZw5lG.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./index-DMVRI44M.js";import"./index-BPwPlcbL.js";import"./index-khuXz7sd.js";import"./scroll-C0BSy_Rk.js";import"./clamp-BqqU4KQ-.js";import"./toNumber-IRhFg6gN.js";import"./_baseIteratee-uVh0OyD5.js";import"./el-card-BWcR1iD2.js";import"./_plugin-vue_export-helper-DlAUqK2U.js";const Ge=Q({__name:"InferenceCreateView",setup(oe){const E=ee(),f=u(),c=u(!1),m=u(""),V=u([]),h=u([]),_=u([]),x=p(()=>V.value.map(t=>({key:`db-${t.id}`,id:t.id,name:t.name,source:"database",model_path:t.path||""}))),M=p(()=>h.value.map(t=>({key:`trained-${t.id}`,id:t.id,name:t.name,source:"trained",model_path:t.merged_path||t.base_model_path||"",merged:t.merged,merging:t.merging,disabled:t.merged===!1}))),G=p(()=>{const t={};for(const e of[...x.value,...M.value])t[e.key]=e;return t}),n=Y({name:"",description:"",model_key:"",gpu_id:0}),I={name:[{required:!0,message:"请输入推理名称",trigger:"blur"}],model_key:[{required:!0,message:"请选择模型",trigger:"change"}]},O=p(()=>G.value[n.model_key]);async function S(){f.value&&await f.value.validate(async t=>{if(!t)return;const e=O.value;if(!e){B.warning("请选择模型");return}c.value=!0,m.value="正在启动模型服务...";try{await new Promise(r=>setTimeout(r,1200)),B.success("模型已启动"),E.push({path:"/model-inference/chat/mock",query:{model:e.name}})}finally{c.value=!1,m.value=""}})}function $(){E.back()}async function q(){try{const[t,e,r]=await Promise.all([le(),ae(),X()]);V.value=t||[],h.value=(e==null?void 0:e.models)||[],_.value=(r==null?void 0:r.gpu)||[],_.value.length>0&&(n.gpu_id=0)}catch{}}return W(q),(t,e)=>{const r=L,d=A,F=K,g=J,C=H,P=z,N=T,U=j,R=D;return s(),i(te,{title:"新建推理"},{default:o(()=>[a(R,{ref_key:"formRef",ref:f,model:n,rules:I,"label-width":"100px"},{default:o(()=>[a(d,{label:"推理名称",prop:"name"},{default:o(()=>[a(r,{modelValue:n.name,"onUpdate:modelValue":e[0]||(e[0]=l=>n.name=l),placeholder:"请输入推理名称",maxlength:"50","show-word-limit":"",style:{"max-width":"400px"}},null,8,["modelValue"])]),_:1}),a(d,{label:"描述"},{default:o(()=>[a(r,{modelValue:n.description,"onUpdate:modelValue":e[1]||(e[1]=l=>n.description=l),type:"textarea",rows:2,maxlength:"200","show-word-limit":"",style:{"max-width":"400px"}},null,8,["modelValue"])]),_:1}),a(F,{"content-position":"left"},{default:o(()=>[...e[4]||(e[4]=[b("选择模型",-1)])]),_:1}),a(d,{label:"选择模型",prop:"model_key"},{default:o(()=>[a(P,{modelValue:n.model_key,"onUpdate:modelValue":e[2]||(e[2]=l=>n.model_key=l),placeholder:"请选择模型",filterable:"",style:{width:"400px"}},{default:o(()=>[a(C,{label:"本地模型"},{default:o(()=>[(s(!0),v(w,null,k(x.value,l=>(s(),i(g,{key:l.key,label:l.name,value:l.key},null,8,["label","value"]))),128))]),_:1}),a(C,{label:"已训练模型"},{default:o(()=>[(s(!0),v(w,null,k(M.value,l=>(s(),i(g,{key:l.key,label:l.name+(l.disabled?"（未合并）":""),value:l.key,disabled:l.disabled},null,8,["label","value","disabled"]))),128))]),_:1})]),_:1},8,["modelValue"])]),_:1}),a(d,{label:"GPU"},{default:o(()=>[a(P,{modelValue:n.gpu_id,"onUpdate:modelValue":e[3]||(e[3]=l=>n.gpu_id=l),style:{width:"400px"}},{default:o(()=>[(s(!0),v(w,null,k(_.value,(l,y)=>(s(),i(g,{key:y,label:`${l.name} (GPU${y})`,value:y},null,8,["label","value"]))),128))]),_:1},8,["modelValue"])]),_:1}),m.value?(s(),i(d,{key:0,label:"启动状态"},{default:o(()=>[a(N,{title:m.value,type:"info",closable:!1,"show-icon":""},null,8,["title"])]),_:1})):Z("",!0),a(d,null,{default:o(()=>[a(U,{type:"primary",loading:c.value,onClick:S},{default:o(()=>[...e[5]||(e[5]=[b("开始推理",-1)])]),_:1},8,["loading"]),a(U,{onClick:$},{default:o(()=>[...e[6]||(e[6]=[b("取消",-1)])]),_:1})]),_:1})]),_:1},8,["model"])]),_:1})}}});export{Ge as default};

frontend/dist/assets/LoginView-C2gFMC91.js

@@ -1 +1 @@
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frontend/dist/assets/MergeWeightsView-Bri4i535.js

@@ -1 +1 @@
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+import{E as A}from"./el-alert-DBfM1mZE.js";import{a as N,E as T}from"./el-form-item-Ct_zBuY0.js";import{E as B}from"./index-CbmPSBt0.js";import{E as I}from"./index-CCavIuTY.js";import{E as R}from"./el-tag-C_D80BPW.js";import{d as P,z as q,G as D,e as r,w as t,j as y,y as E,o as n,s as a,f as F,ar as U,x as m,aa as W,c as j,g as z,A as M,v as G,ac as H}from"./index-CGB0A5x_.js";import{P as L}from"./PageCard-D1lOaeEG.js";import{a as O,m as S}from"./model-xlHsHa68.js";import{_ as J}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./vnode-DFpZw5lG.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./index-DMVRI44M.js";import"./el-card-BWcR1iD2.js";const K={key:0,class:"model-status"},Q=P({__name:"MergeWeightsView",setup(X){const v=H(),b=G(),s=E(!1),u=y(()=>v.query.model||""),w=y(()=>v.query.method||"lora"),i=E([]),_=y(()=>i.value.find(l=>l.name===u.value)),o=q({model_name:u.value,train_method:w.value,base_model_path:""});async function V(){try{const l=await O();i.value=(l==null?void 0:l.models)||[];const e=i.value.find(p=>p.name===u.value);o.base_model_path=(e==null?void 0:e.base_model_path)||""}catch{}}async function k(){if(!o.model_name||!o.base_model_path){M.warning("缺少模型信息");return}s.value=!0;try{await S({model_name:o.model_name,train_method:o.train_method,base_model_path:o.base_model_path}),M.success("合并成功"),b.push("/model-manage")}catch{}finally{s.value=!1}}function x(){b.back()}return D(V),(l,e)=>{const p=A,f=B,d=N,h=I,C=T,c=R;return n(),r(L,{title:"合并权重"},{default:t(()=>[a(p,{type:"info",closable:!1,"show-icon":"",title:"将 LoRA 适配器权重合并到基座模型，合并后可直接用于推理部署。",style:{"margin-bottom":"20px"}}),a(C,{"label-width":"120px",style:{"max-width":"600px"}},{default:t(()=>[a(d,{label:"模型名称"},{default:t(()=>[a(f,{modelValue:o.model_name,"onUpdate:modelValue":e[0]||(e[0]=g=>o.model_name=g),disabled:""},null,8,["modelValue"])]),_:1}),a(d,{label:"训练方法"},{default:t(()=>[a(f,{"model-value":F(U)[o.train_method]||o.train_method,disabled:""},null,8,["model-value"])]),_:1}),a(d,{label:"基座模型路径"},{default:t(()=>[a(f,{modelValue:o.base_model_path,"onUpdate:modelValue":e[1]||(e[1]=g=>o.base_model_path=g),placeholder:"基座模型路径"},null,8,["modelValue"])]),_:1}),a(d,null,{default:t(()=>[a(h,{type:"primary",loading:s.value,onClick:k},{default:t(()=>[m(W(s.value?"合并中...":"开始合并"),1)]),_:1},8,["loading"]),a(h,{onClick:x},{default:t(()=>[...e[2]||(e[2]=[m("取消",-1)])]),_:1})]),_:1})]),_:1}),_.value?(n(),j("div",K,[_.value.merging?(n(),r(c,{key:0,type:"warning"},{default:t(()=>[...e[3]||(e[3]=[m("合并中",-1)])]),_:1})):_.value.merged?(n(),r(c,{key:1,type:"success"},{default:t(()=>[...e[4]||(e[4]=[m("已合并",-1)])]),_:1})):(n(),r(c,{key:2,type:"info"},{default:t(()=>[...e[5]||(e[5]=[m("未合并",-1)])]),_:1}))])):z("",!0)]),_:1})}}}),pe=J(Q,[["__scopeId","data-v-2d4f1cb8"]]);export{pe as default};

frontend/dist/assets/ModelStatusTag.vue_vue_type_script_setup_true_lang-NhrqSCT2.js

@@ -1 +1 @@
-import{E as o}from"./el-tag-11zBoTqA.js";import{d as p,e as n,w as r,j as c,o as l,x as u,aa as m}from"./index-C8bRaOsd.js";import{s as _,a as i}from"./status-Dl1fykxa.js";const T=p({__name:"ModelStatusTag",props:{status:{}},setup(e){const t=e,a=c(()=>({text:i(t.status),type:_(t.status)}));return(f,g)=>{const s=o;return l(),n(s,{type:a.value.type,size:"small",effect:"light"},{default:r(()=>[u(m(a.value.text),1)]),_:1},8,["type"])}}});export{T as _};
+import{E as o}from"./el-tag-C_D80BPW.js";import{d as p,e as n,w as r,j as c,o as l,x as u,aa as m}from"./index-CGB0A5x_.js";import{s as _,a as i}from"./status-Dl1fykxa.js";const T=p({__name:"ModelStatusTag",props:{status:{}},setup(e){const t=e,a=c(()=>({text:i(t.status),type:_(t.status)}));return(f,g)=>{const s=o;return l(),n(s,{type:a.value.type,size:"small",effect:"light"},{default:r(()=>[u(m(a.value.text),1)]),_:1},8,["type"])}}});export{T as _};

frontend/dist/assets/PageCard-D1lOaeEG.js

@@ -1 +1 @@
-import{E as i}from"./el-card-BXAZ-Y4u.js";import{d as n,e as u,w as p,o as a,c as s,h as o,g as r,q as d,aa as l}from"./index-C8bRaOsd.js";import{_}from"./_plugin-vue_export-helper-DlAUqK2U.js";const h={key:0,class:"page-card-header"},m={class:"page-card-title"},f={key:0,class:"page-card-subtitle"},g={key:0,class:"page-card-extra"},v={class:"page-card-body"},b=n({__name:"PageCard",props:{title:{},subtitle:{},bordered:{type:Boolean,default:!1}},setup(t){return(e,k)=>{const c=i;return a(),u(c,{shadow:"never",class:"page-card"},{default:p(()=>[t.title||e.$slots.header?(a(),s("div",h,[o(e.$slots,"header",{},()=>[d("div",null,[d("h2",m,l(t.title),1),t.subtitle?(a(),s("p",f,l(t.subtitle),1)):r("",!0)])],!0),e.$slots.extra?(a(),s("div",g,[o(e.$slots,"extra",{},void 0,!0)])):r("",!0)])):r("",!0),d("div",v,[o(e.$slots,"default",{},void 0,!0)])]),_:3})}}}),$=_(b,[["__scopeId","data-v-4478be23"]]);export{$ as P};
+import{E as i}from"./el-card-BWcR1iD2.js";import{d as n,e as u,w as p,o as a,c as s,h as o,g as r,q as d,aa as l}from"./index-CGB0A5x_.js";import{_}from"./_plugin-vue_export-helper-DlAUqK2U.js";const h={key:0,class:"page-card-header"},m={class:"page-card-title"},f={key:0,class:"page-card-subtitle"},g={key:0,class:"page-card-extra"},v={class:"page-card-body"},b=n({__name:"PageCard",props:{title:{},subtitle:{},bordered:{type:Boolean,default:!1}},setup(t){return(e,k)=>{const c=i;return a(),u(c,{shadow:"never",class:"page-card"},{default:p(()=>[t.title||e.$slots.header?(a(),s("div",h,[o(e.$slots,"header",{},()=>[d("div",null,[d("h2",m,l(t.title),1),t.subtitle?(a(),s("p",f,l(t.subtitle),1)):r("",!0)])],!0),e.$slots.extra?(a(),s("div",g,[o(e.$slots,"extra",{},void 0,!0)])):r("",!0)])):r("",!0),d("div",v,[o(e.$slots,"default",{},void 0,!0)])]),_:3})}}}),$=_(b,[["__scopeId","data-v-4478be23"]]);export{$ as P};

frontend/dist/assets/PermissionDeniedView-9OSwGj6t.js

@@ -1 +1 @@
-import{_ as o}from"./_plugin-vue_export-helper-DlAUqK2U.js";import{o as t,c as n,q as s}from"./index-C8bRaOsd.js";const r={},a={class:"simple-page"};function c(i,e){return t(),n("section",a,[...e[0]||(e[0]=[s("h1",null,"无权访问",-1),s("p",null,"当前账号没有访问该页面的权限，请联系管理员调整角色或页面权限。",-1)])])}const d=o(r,[["render",c],["__scopeId","data-v-9fad40f6"]]);export{d as default};
+import{_ as o}from"./_plugin-vue_export-helper-DlAUqK2U.js";import{o as t,c as n,q as s}from"./index-CGB0A5x_.js";const r={},a={class:"simple-page"};function c(i,e){return t(),n("section",a,[...e[0]||(e[0]=[s("h1",null,"无权访问",-1),s("p",null,"当前账号没有访问该页面的权限，请联系管理员调整角色或页面权限。",-1)])])}const d=o(r,[["render",c],["__scopeId","data-v-9fad40f6"]]);export{d as default};

frontend/dist/assets/ToolCreateView-CK25vNye.js

@@ -1 +1 @@
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+import{a as y,E as h}from"./el-form-item-Ct_zBuY0.js";import{E as B}from"./index-CbmPSBt0.js";import{E as R}from"./index-CCavIuTY.js";import{d as S,G as I,e as N,w as l,j as g,z as O,o as m,s as o,q as v,c as x,ad as U,n as V,f as q,bx as F,M as L,x as b,aa as M,A as w,y as j,v as z,ac as D}from"./index-CGB0A5x_.js";import{P}from"./PageCard-D1lOaeEG.js";import{u as A}from"./tools-XKLlGqEK.js";import{_ as G}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./index-DMVRI44M.js";import"./el-card-BWcR1iD2.js";const $={class:"icon-grid"},H=["onClick"],J=S({__name:"ToolCreateView",setup(K){const d=D(),p=z(),n=A(),i=j(),s=g(()=>d.params.id!=null),c=g(()=>s.value?n.getTool(d.params.id):void 0),e=O({id:"",name:"",description:"",url:"",icon:"fa-cog"}),C={name:[{required:!0,message:"请输入工具名称",trigger:"blur"},{max:30,message:"不超过 30 字符",trigger:"blur"}],url:[{required:!0,message:"请输入跳转地址",trigger:"blur"}]};function k(){i.value&&i.value.validate(f=>{f&&(s.value?(n.updateTool(e.id,{...e}),w.success("更新成功")):(n.addTool({...e,id:"custom_"+Date.now()}),w.success("添加成功")),p.push("/tools"))})}function E(){p.back()}return I(()=>{c.value&&Object.assign(e,c.value)}),(f,a)=>{const u=B,r=y,_=R,T=h;return m(),N(P,{title:s.value?"编辑自定义工具":"添加自定义工具"},{default:l(()=>[o(T,{ref_key:"formRef",ref:i,model:e,rules:C,"label-width":"100px",style:{"max-width":"600px"}},{default:l(()=>[o(r,{label:"工具名称",prop:"name"},{default:l(()=>[o(u,{modelValue:e.name,"onUpdate:modelValue":a[0]||(a[0]=t=>e.name=t),placeholder:"请输入工具名称",maxlength:"30","show-word-limit":""},null,8,["modelValue"])]),_:1}),o(r,{label:"工具描述"},{default:l(()=>[o(u,{modelValue:e.description,"onUpdate:modelValue":a[1]||(a[1]=t=>e.description=t),type:"textarea",rows:2,maxlength:"100","show-word-limit":""},null,8,["modelValue"])]),_:1}),o(r,{label:"跳转地址",prop:"url"},{default:l(()=>[o(u,{modelValue:e.url,"onUpdate:modelValue":a[2]||(a[2]=t=>e.url=t),placeholder:"相对路径或完整 URL"},null,8,["modelValue"])]),_:1}),o(r,{label:"图标"},{default:l(()=>[v("div",$,[(m(!0),x(L,null,U(q(F),t=>(m(),x("div",{key:t,class:V(["icon-option",{selected:e.icon===t}]),onClick:Q=>e.icon=t},[v("i",{class:V(["fa",t])},null,2)],10,H))),128))])]),_:1}),o(r,null,{default:l(()=>[o(_,{type:"primary",onClick:k},{default:l(()=>[b(M(s.value?"保存":"添加"),1)]),_:1}),o(_,{onClick:E},{default:l(()=>[...a[3]||(a[3]=[b("取消",-1)])]),_:1})]),_:1})]),_:1},8,["model"])]),_:1},8,["title"])}}}),ue=G(J,[["__scopeId","data-v-249def81"]]);export{ue as default};

frontend/dist/assets/UserCreateView-CGNks5Sx.js

@@ -1 +1 @@
-import{E as y,a as x}from"./el-form-item-DGwcZKHQ.js";import{E as k}from"./index-CoLjyrxq.js";import{E as U}from"./index-B2Z3XS2S.js";import{E as C,a as B}from"./el-select-DzauTPwe.js";import{a as F,E as I}from"./el-checkbox-Jsj5DifU.js";import{E as N,b as R}from"./el-radio-group-akfy4TX6.js";import{d as G,c as f,q as M,s as o,w as l,o as _,x as r,M as O,ad as S,aa as q,f as z,v as A,y as D,z as L,db as T,A as $}from"./index-C8bRaOsd.js";/* empty css                          */import"./el-scrollbar-CMp13_RQ.js";import"./el-popper-BY86ZM1h.js";import"./el-tag-11zBoTqA.js";import{_ as j}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./castArray-CJvOrS5l.js";import"./_baseClone-vUmDCUMu.js";import"./raf-BqR8BX9r.js";import"./index-BRf1Q2lS.js";import"./index-DE1Gc93o.js";import"./index-BpW9Z31J.js";import"./vnode-B9WOR-0a.js";import"./index-BVldZEzQ.js";import"./scroll-DL9cY7fX.js";import"./clamp-CNwRTQDt.js";import"./toNumber-Bt8UgFrr.js";import"./_baseIteratee-7-PMrTPE.js";import"./omit-BHHw65tB.js";const H={class:"user-create"},J=G({__name:"UserCreateView",setup(K){const d=A(),n=D(!1),a=L({username:"",display_name:"",password:"platform123",role:"viewer",status:"active",permissions:["dashboard"]}),b=["dashboard","fine-tune","model-eval","model-inference","model-manage","dataset","data-process","data-convert","compute","hardware","logs","user-settings"];async function V(){n.value=!0;try{await T(a),$.success("用户已创建"),d.push("/user-settings")}finally{n.value=!1}}return(P,e)=>{const m=k,s=x,u=B,v=C,p=R,c=N,E=I,w=F,i=U,g=y;return _(),f("section",H,[e[11]||(e[11]=M("h1",null,"创建用户",-1)),o(g,{model:a,"label-width":"110px",class:"user-form"},{default:l(()=>[o(s,{label:"账号"},{default:l(()=>[o(m,{modelValue:a.username,"onUpdate:modelValue":e[0]||(e[0]=t=>a.username=t)},null,8,["modelValue"])]),_:1}),o(s,{label:"显示名称"},{default:l(()=>[o(m,{modelValue:a.display_name,"onUpdate:modelValue":e[1]||(e[1]=t=>a.display_name=t)},null,8,["modelValue"])]),_:1}),o(s,{label:"初始密码"},{default:l(()=>[o(m,{modelValue:a.password,"onUpdate:modelValue":e[2]||(e[2]=t=>a.password=t),type:"password","show-password":""},null,8,["modelValue"])]),_:1}),o(s,{label:"角色"},{default:l(()=>[o(v,{modelValue:a.role,"onUpdate:modelValue":e[3]||(e[3]=t=>a.role=t)},{default:l(()=>[o(u,{label:"管理员",value:"admin"}),o(u,{label:"操作员",value:"operator"}),o(u,{label:"观察员",value:"viewer"})]),_:1},8,["modelValue"])]),_:1}),o(s,{label:"状态"},{default:l(()=>[o(c,{modelValue:a.status,"onUpdate:modelValue":e[4]||(e[4]=t=>a.status=t)},{default:l(()=>[o(p,{value:"active"},{default:l(()=>[...e[7]||(e[7]=[r("启用",-1)])]),_:1}),o(p,{value:"disabled"},{default:l(()=>[...e[8]||(e[8]=[r("禁用",-1)])]),_:1})]),_:1},8,["modelValue"])]),_:1}),o(s,{label:"页面权限"},{default:l(()=>[o(w,{modelValue:a.permissions,"onUpdate:modelValue":e[5]||(e[5]=t=>a.permissions=t)},{default:l(()=>[(_(),f(O,null,S(b,t=>o(E,{key:t,value:t},{default:l(()=>[r(q(t),1)]),_:2},1032,["value"])),64))]),_:1},8,["modelValue"])]),_:1}),o(s,null,{default:l(()=>[o(i,{onClick:e[6]||(e[6]=t=>z(d).back())},{default:l(()=>[...e[9]||(e[9]=[r("返回",-1)])]),_:1}),o(i,{type:"primary",loading:n.value,onClick:V},{default:l(()=>[...e[10]||(e[10]=[r("保存",-1)])]),_:1},8,["loading"])]),_:1})]),_:1},8,["model"])])}}}),Ee=j(J,[["__scopeId","data-v-af832a20"]]);export{Ee as default};
+import{E as y,a as x}from"./el-form-item-Ct_zBuY0.js";import{E as k}from"./index-CbmPSBt0.js";import{E as U}from"./index-CCavIuTY.js";import{E as C,a as B}from"./el-select-C59URVI0.js";import{a as F,E as I}from"./el-checkbox-Ci1DH0Aj.js";import{E as N,b as R}from"./el-radio-group-B7nPUe8-.js";import{d as G,c as f,q as M,s as o,w as l,o as _,x as r,M as O,ad as S,aa as q,f as z,v as A,y as D,z as L,db as T,A as $}from"./index-CGB0A5x_.js";/* empty css                          */import"./el-scrollbar-p6_f_LH2.js";import"./el-popper-DvBtRO32.js";import"./el-tag-C_D80BPW.js";import{_ as j}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./castArray-Cgg396Sr.js";import"./_baseClone-CX1E8HTZ.js";import"./raf-CCivjDro.js";import"./index-D2-3cnGo.js";import"./index-DMVRI44M.js";import"./index-BPwPlcbL.js";import"./vnode-DFpZw5lG.js";import"./index-khuXz7sd.js";import"./scroll-C0BSy_Rk.js";import"./clamp-BqqU4KQ-.js";import"./toNumber-IRhFg6gN.js";import"./_baseIteratee-uVh0OyD5.js";import"./omit-DaFv1hTo.js";const H={class:"user-create"},J=G({__name:"UserCreateView",setup(K){const d=A(),n=D(!1),a=L({username:"",display_name:"",password:"platform123",role:"viewer",status:"active",permissions:["dashboard"]}),b=["dashboard","fine-tune","model-eval","model-inference","model-manage","dataset","data-process","data-convert","compute","hardware","logs","user-settings"];async function V(){n.value=!0;try{await T(a),$.success("用户已创建"),d.push("/user-settings")}finally{n.value=!1}}return(P,e)=>{const m=k,s=x,u=B,v=C,p=R,c=N,E=I,w=F,i=U,g=y;return _(),f("section",H,[e[11]||(e[11]=M("h1",null,"创建用户",-1)),o(g,{model:a,"label-width":"110px",class:"user-form"},{default:l(()=>[o(s,{label:"账号"},{default:l(()=>[o(m,{modelValue:a.username,"onUpdate:modelValue":e[0]||(e[0]=t=>a.username=t)},null,8,["modelValue"])]),_:1}),o(s,{label:"显示名称"},{default:l(()=>[o(m,{modelValue:a.display_name,"onUpdate:modelValue":e[1]||(e[1]=t=>a.display_name=t)},null,8,["modelValue"])]),_:1}),o(s,{label:"初始密码"},{default:l(()=>[o(m,{modelValue:a.password,"onUpdate:modelValue":e[2]||(e[2]=t=>a.password=t),type:"password","show-password":""},null,8,["modelValue"])]),_:1}),o(s,{label:"角色"},{default:l(()=>[o(v,{modelValue:a.role,"onUpdate:modelValue":e[3]||(e[3]=t=>a.role=t)},{default:l(()=>[o(u,{label:"管理员",value:"admin"}),o(u,{label:"操作员",value:"operator"}),o(u,{label:"观察员",value:"viewer"})]),_:1},8,["modelValue"])]),_:1}),o(s,{label:"状态"},{default:l(()=>[o(c,{modelValue:a.status,"onUpdate:modelValue":e[4]||(e[4]=t=>a.status=t)},{default:l(()=>[o(p,{value:"active"},{default:l(()=>[...e[7]||(e[7]=[r("启用",-1)])]),_:1}),o(p,{value:"disabled"},{default:l(()=>[...e[8]||(e[8]=[r("禁用",-1)])]),_:1})]),_:1},8,["modelValue"])]),_:1}),o(s,{label:"页面权限"},{default:l(()=>[o(w,{modelValue:a.permissions,"onUpdate:modelValue":e[5]||(e[5]=t=>a.permissions=t)},{default:l(()=>[(_(),f(O,null,S(b,t=>o(E,{key:t,value:t},{default:l(()=>[r(q(t),1)]),_:2},1032,["value"])),64))]),_:1},8,["modelValue"])]),_:1}),o(s,null,{default:l(()=>[o(i,{onClick:e[6]||(e[6]=t=>z(d).back())},{default:l(()=>[...e[9]||(e[9]=[r("返回",-1)])]),_:1}),o(i,{type:"primary",loading:n.value,onClick:V},{default:l(()=>[...e[10]||(e[10]=[r("保存",-1)])]),_:1},8,["loading"])]),_:1})]),_:1},8,["model"])])}}}),Ee=j(J,[["__scopeId","data-v-af832a20"]]);export{Ee as default};

frontend/dist/assets/UserPermissionView-B0EVQ4wB.js

@@ -1 +1 @@
-import{_ as o}from"./_plugin-vue_export-helper-DlAUqK2U.js";import{o as t,c as r,q as s}from"./index-C8bRaOsd.js";const a={},c={class:"simple-page"};function n(_,e){return t(),r("section",c,[...e[0]||(e[0]=[s("h1",null,"权限设置",-1),s("p",null,"第一版已支持账号页面权限读取与保存，精细化项目/模型/数据集权限将在后续版本补齐。",-1)])])}const p=o(a,[["render",n],["__scopeId","data-v-49c3a2ea"]]);export{p as default};
+import{_ as o}from"./_plugin-vue_export-helper-DlAUqK2U.js";import{o as t,c as r,q as s}from"./index-CGB0A5x_.js";const a={},c={class:"simple-page"};function n(_,e){return t(),r("section",c,[...e[0]||(e[0]=[s("h1",null,"权限设置",-1),s("p",null,"第一版已支持账号页面权限读取与保存，精细化项目/模型/数据集权限将在后续版本补齐。",-1)])])}const p=o(a,[["render",n],["__scopeId","data-v-49c3a2ea"]]);export{p as default};

frontend/dist/assets/UserSettingsView-CShnIjUw.js

@@ -1 +1 @@
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+import{E as w}from"./index-CCavIuTY.js";import{E as y}from"./el-tag-C_D80BPW.js";import{a as h,E}from"./el-table-DkdQ6gPU.js";import{v as T}from"./directive-vzjADwzS.js";import{d as x,G as V,K as B,c as C,q as r,s as t,w as o,y as m,da as U,o as k,x as i,f as d,aa as u}from"./index-CGB0A5x_.js";import"./el-scrollbar-p6_f_LH2.js";import"./el-popper-DvBtRO32.js";import"./el-tooltip-l0sNRNKZ.js";import"./el-checkbox-Ci1DH0Aj.js";import{s as N,a as S}from"./status-Dl1fykxa.js";import{_ as D}from"./_plugin-vue_export-helper-DlAUqK2U.js";import"./_baseClone-CX1E8HTZ.js";import"./index-DMVRI44M.js";import"./_baseIteratee-uVh0OyD5.js";import"./castArray-Cgg396Sr.js";import"./debounce-Bqww2DS8.js";import"./toNumber-IRhFg6gN.js";import"./index-BPwPlcbL.js";import"./raf-CCivjDro.js";import"./omit-DaFv1hTo.js";const L={class:"user-settings"},$={class:"page-header"},q=x({__name:"UserSettingsView",setup(z){const l=m(!1),n=m([]);async function _(){l.value=!0;try{n.value=await U()}finally{l.value=!1}}return V(_),(c,e)=>{const f=w,a=E,g=y,b=h,v=T;return B((k(),C("section",L,[r("header",$,[e[2]||(e[2]=r("div",null,[r("h1",null,"用户设置"),r("p",null,"管理平台账号、角色状态和页面权限。")],-1)),t(f,{type:"primary",onClick:e[0]||(e[0]=s=>c.$router.push("/user-settings/create"))},{default:o(()=>[...e[1]||(e[1]=[i("创建用户",-1)])]),_:1})]),t(b,{data:n.value},{default:o(()=>[t(a,{prop:"username",label:"账号","min-width":"140"}),t(a,{prop:"display_name",label:"显示名称","min-width":"160"}),t(a,{prop:"role",label:"角色",width:"120"}),t(a,{label:"状态",width:"120"},{default:o(({row:s})=>[t(g,{type:d(N)(s.status),size:"small"},{default:o(()=>[i(u(d(S)(s.status)),1)]),_:2},1032,["type"])]),_:1}),t(a,{label:"权限数",width:"120"},{default:o(({row:s})=>{var p;return[i(u(((p=s.permissions)==null?void 0:p.length)||0),1)]}),_:1}),t(a,{prop:"create_time",label:"创建时间","min-width":"180"})]),_:1},8,["data"])])),[[v,l.value]])}}}),st=D(q,[["__scopeId","data-v-16fa3de4"]]);export{st as default};

frontend/dist/assets/_baseClone-CX1E8HTZ.js

@@ -1 +1 @@
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frontend/dist/assets/_baseIteratee-uVh0OyD5.js

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+import{cK as O,d2 as a,cs as P,cy as p,d3 as A,cl as l,cU as M,co as _,ce as d}from"./index-CGB0A5x_.js";import{h as g,i as m}from"./index-DMVRI44M.js";var C=1,I=2;function L(n,r,e,t){var i=e.length,u=i;if(n==null)return!u;for(n=Object(n);i--;){var f=e[i];if(f[2]?f[1]!==n[f[0]]:!(f[0]in n))return!1}for(;++i<u;){f=e[i];var s=f[0],o=n[s],y=f[1];if(f[2]){if(o===void 0&&!(s in n))return!1}else{var E=new O,c;if(!(c===void 0?a(y,o,C|I,t,E):c))return!1}}return!0}function R(n){return n===n&&!P(n)}function D(n){for(var r=p(n),e=r.length;e--;){var t=r[e],i=n[t];r[e]=[t,i,R(i)]}return r}function h(n,r){return function(e){return e==null?!1:e[n]===r&&(r!==void 0||n in Object(e))}}function G(n){var r=D(n);return r.length==1&&r[0][2]?h(r[0][0],r[0][1]):function(e){return e===n||L(e,n,r)}}var w=1,F=2;function b(n,r){return A(n)&&R(r)?h(l(n),r):function(e){var t=M(e,n);return t===void 0&&t===r?g(e,n):a(r,t,w|F)}}function K(n){return function(r){return r==null?void 0:r[n]}}function S(n){return function(r){return _(r,n)}}function U(n){return A(n)?K(l(n)):S(n)}function T(n){return typeof n=="function"?n:n==null?m:typeof n=="object"?d(n)?b(n[0],n[1]):G(n):U(n)}export{T as b};

frontend/dist/assets/castArray-Cgg396Sr.js

@@ -1 +1 @@
-import{ce as a}from"./index-C8bRaOsd.js";function e(){if(!arguments.length)return[];var r=arguments[0];return a(r)?r:[r]}export{e as c};
+import{ce as a}from"./index-CGB0A5x_.js";function e(){if(!arguments.length)return[];var r=arguments[0];return a(r)?r:[r]}export{e as c};

frontend/dist/assets/clamp-BqqU4KQ-.js

@@ -1 +1 @@
-import{t as n}from"./toNumber-Bt8UgFrr.js";function t(d,f,i){return d===d&&(i!==void 0&&(d=d<=i?d:i),f!==void 0&&(d=d>=f?d:f)),d}function c(d,f,i){return i===void 0&&(i=f,f=void 0),i!==void 0&&(i=n(i),i=i===i?i:0),f!==void 0&&(f=n(f),f=f===f?f:0),t(n(d),f,i)}export{c};
+import{t as n}from"./toNumber-IRhFg6gN.js";function t(d,f,i){return d===d&&(i!==void 0&&(d=d<=i?d:i),f!==void 0&&(d=d>=f?d:f)),d}function c(d,f,i){return i===void 0&&(i=f,f=void 0),i!==void 0&&(i=n(i),i=i===i?i:0),f!==void 0&&(f=n(f),f=f===f?f:0),t(n(d),f,i)}export{c};

frontend/dist/assets/compare-ClXsFp7Q.js

@@ -1 +1 @@
-import{aF as n,aG as t,aI as l}from"./index-C8bRaOsd.js";const p=()=>n("/model-compare"),i=e=>n(`/model-compare/${e}`),u=e=>l(`/model-compare/${e}`),h=e=>t("/model-compare/stop-by-pid",{pid:e}),g=e=>t(`/model-compare/${e}/load`),C=e=>t(`/model-compare/${e}/unload`),y=async e=>{const a=await t("/model-compare/stream-chat",e);return{ok:!0,body:{getReader:()=>{const o=(a==null?void 0:a.response)||"",r=new TextEncoder,s=[o.slice(0,o.length/3),o.slice(o.length/3,2*o.length/3),o.slice(2*o.length/3)];let c=0;return{read:async()=>c>=s.length?{done:!0,value:void 0}:{done:!1,value:r.encode(s[c++])}}}}}},v=e=>t("/model-compare/chat-with-port",e);export{i as a,y as b,v as c,u as d,p as g,g as l,h as s,C as u};
+import{aF as n,aG as t,aI as l}from"./index-CGB0A5x_.js";const p=()=>n("/model-compare"),i=e=>n(`/model-compare/${e}`),u=e=>l(`/model-compare/${e}`),h=e=>t("/model-compare/stop-by-pid",{pid:e}),g=e=>t(`/model-compare/${e}/load`),C=e=>t(`/model-compare/${e}/unload`),y=async e=>{const a=await t("/model-compare/stream-chat",e);return{ok:!0,body:{getReader:()=>{const o=(a==null?void 0:a.response)||"",r=new TextEncoder,s=[o.slice(0,o.length/3),o.slice(o.length/3,2*o.length/3),o.slice(2*o.length/3)];let c=0;return{read:async()=>c>=s.length?{done:!0,value:void 0}:{done:!1,value:r.encode(s[c++])}}}}}},v=e=>t("/model-compare/chat-with-port",e);export{i as a,y as b,v as c,u as d,p as g,g as l,h as s,C as u};

frontend/dist/assets/createSeriesDataSimply-DG1YCEfT.js

@@ -1 +1 @@
-import{_ as M,ah as y,T as A,a7 as D,aS as I,aT as w}from"./install-CLK_tRrI.js";var T=(function(){function s(){this.cx=0,this.cy=0,this.r0=0,this.r=0,this.startAngle=0,this.endAngle=Math.PI*2,this.clockwise=!0}return s})(),x=(function(s){M(r,s);function r(t){var a=s.call(this,t)||this;return a.type="sausage",a}return r.prototype.getDefaultShape=function(){return new T},r.prototype.buildPath=function(t,a){var c=a.cx,e=a.cy,o=Math.max(a.r0||0,0),u=Math.max(a.r,0),l=(u-o)*.5,v=o+l,n=a.startAngle,i=a.endAngle,h=a.clockwise,S=Math.PI*2,d=h?i-n<S:n-i<S;d||(n=i-(h?S:-S));var g=Math.cos(n),f=Math.sin(n),m=Math.cos(i),P=Math.sin(i);d?(t.moveTo(g*o+c,f*o+e),t.arc(g*v+c,f*v+e,l,-Math.PI+n,n,!h)):t.moveTo(g*u+c,f*u+e),t.arc(c,e,u,n,i,!h),t.arc(m*v+c,P*v+e,l,i-Math.PI*2,i-Math.PI,!h),o!==0&&t.arc(c,e,o,i,n,h)},r})(y);function E(s,r,t){r=A(r)&&{coordDimensions:r}||D({encodeDefine:s.getEncode()},r);var a=s.getSource(),c=I(a,r).dimensions,e=new w(c,s);return e.initData(a,t),e}export{x as S,E as c};
+import{_ as M,ah as y,T as A,a7 as D,aS as I,aT as w}from"./install-caVZROyC.js";var T=(function(){function s(){this.cx=0,this.cy=0,this.r0=0,this.r=0,this.startAngle=0,this.endAngle=Math.PI*2,this.clockwise=!0}return s})(),x=(function(s){M(r,s);function r(t){var a=s.call(this,t)||this;return a.type="sausage",a}return r.prototype.getDefaultShape=function(){return new T},r.prototype.buildPath=function(t,a){var c=a.cx,e=a.cy,o=Math.max(a.r0||0,0),u=Math.max(a.r,0),l=(u-o)*.5,v=o+l,n=a.startAngle,i=a.endAngle,h=a.clockwise,S=Math.PI*2,d=h?i-n<S:n-i<S;d||(n=i-(h?S:-S));var g=Math.cos(n),f=Math.sin(n),m=Math.cos(i),P=Math.sin(i);d?(t.moveTo(g*o+c,f*o+e),t.arc(g*v+c,f*v+e,l,-Math.PI+n,n,!h)):t.moveTo(g*u+c,f*u+e),t.arc(c,e,u,n,i,!h),t.arc(m*v+c,P*v+e,l,i-Math.PI*2,i-Math.PI,!h),o!==0&&t.arc(c,e,o,i,n,h)},r})(y);function E(s,r,t){r=A(r)&&{coordDimensions:r}||D({encodeDefine:s.getEncode()},r);var a=s.getSource(),c=I(a,r).dimensions,e=new w(c,s);return e.initData(a,t),e}export{x as S,E as c};

frontend/dist/assets/dataProcess-D7vRt2n_.js

@@ -1 +1 @@
-import{aF as n,aI as r,aH as p,aG as s}from"./index-C8bRaOsd.js";function m(e={}){return n("/data-process",e)}const l=e=>n(`/data-process/${encodeURIComponent(e)}`),i=e=>s("/data-process",e),R=(e,o)=>p(`/data-process/${encodeURIComponent(e)}`,o),U=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/regenerate`,o),C=e=>r(`/data-process/${encodeURIComponent(e)}`);function I(e,o,t){const c=new FormData;return o.forEach(a=>c.append("files",a)),s(`/data-process/${encodeURIComponent(e)}/source-files`,c,{timeout:300*1e3,onUploadProgress:a=>{if(!a.total)return;const d=Math.round(a.loaded/a.total*100);t==null||t(Math.min(99,Math.max(0,d)))}})}const $=(e,o)=>r(`/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}`),P=(e,o,t={})=>n(`/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}/content`,t),D=(e,o)=>`/modelTF/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}/raw`,f=(e,o)=>n(`/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}/pdf-pages`),g=(e,o)=>{const{query:t,file_name:c,...a}=o;return s(`/data-process/${encodeURIComponent(e)}/external/test`,a)},w=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/external/pull`,o),v=(e,o={})=>s(`/data-process/${encodeURIComponent(e)}/preview/build`,o,{timeout:300*1e3});function h(e,o={}){return n(`/data-process/${encodeURIComponent(e)}/preview`,o)}const k=(e,o,t)=>p(`/data-process/${encodeURIComponent(e)}/preview/${encodeURIComponent(o)}`,t),x=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/preview`,o),T=(e,o)=>r(`/data-process/${encodeURIComponent(e)}/preview/${encodeURIComponent(o)}`),S=e=>s(`/data-process/${encodeURIComponent(e)}/generate`),b=e=>s(`/data-process/${encodeURIComponent(e)}/stop`),F=e=>n(`/data-process/${encodeURIComponent(e)}/progress`);function q(e,o={}){return n(`/data-process/${encodeURIComponent(e)}/results`,o)}const y=(e,o,t)=>p(`/data-process/${encodeURIComponent(e)}/results/${encodeURIComponent(o)}`,t),E=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/results/${encodeURIComponent(o)}/restore`),M=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/publish`,o);export{D as a,f as b,S as c,C as d,F as e,q as f,m as g,v as h,I as i,P as j,l as k,U as l,h as m,k as n,R as o,i as p,w as q,E as r,b as s,g as t,y as u,$ as v,x as w,T as x,M as y};
+import{aF as n,aI as r,aH as p,aG as s}from"./index-CGB0A5x_.js";function m(e={}){return n("/data-process",e)}const l=e=>n(`/data-process/${encodeURIComponent(e)}`),i=e=>s("/data-process",e),R=(e,o)=>p(`/data-process/${encodeURIComponent(e)}`,o),U=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/regenerate`,o),C=e=>r(`/data-process/${encodeURIComponent(e)}`);function I(e,o,t){const c=new FormData;return o.forEach(a=>c.append("files",a)),s(`/data-process/${encodeURIComponent(e)}/source-files`,c,{timeout:300*1e3,onUploadProgress:a=>{if(!a.total)return;const d=Math.round(a.loaded/a.total*100);t==null||t(Math.min(99,Math.max(0,d)))}})}const $=(e,o)=>r(`/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}`),P=(e,o,t={})=>n(`/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}/content`,t),D=(e,o)=>`/modelTF/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}/raw`,f=(e,o)=>n(`/data-process/${encodeURIComponent(e)}/source-files/${encodeURIComponent(o)}/pdf-pages`),g=(e,o)=>{const{query:t,file_name:c,...a}=o;return s(`/data-process/${encodeURIComponent(e)}/external/test`,a)},w=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/external/pull`,o),v=(e,o={})=>s(`/data-process/${encodeURIComponent(e)}/preview/build`,o,{timeout:300*1e3});function h(e,o={}){return n(`/data-process/${encodeURIComponent(e)}/preview`,o)}const k=(e,o,t)=>p(`/data-process/${encodeURIComponent(e)}/preview/${encodeURIComponent(o)}`,t),x=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/preview`,o),T=(e,o)=>r(`/data-process/${encodeURIComponent(e)}/preview/${encodeURIComponent(o)}`),S=e=>s(`/data-process/${encodeURIComponent(e)}/generate`),b=e=>s(`/data-process/${encodeURIComponent(e)}/stop`),F=e=>n(`/data-process/${encodeURIComponent(e)}/progress`);function q(e,o={}){return n(`/data-process/${encodeURIComponent(e)}/results`,o)}const y=(e,o,t)=>p(`/data-process/${encodeURIComponent(e)}/results/${encodeURIComponent(o)}`,t),E=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/results/${encodeURIComponent(o)}/restore`),M=(e,o)=>s(`/data-process/${encodeURIComponent(e)}/publish`,o);export{D as a,f as b,S as c,C as d,F as e,q as f,m as g,v as h,I as i,P as j,l as k,U as l,h as m,k as n,R as o,i as p,w as q,E as r,b as s,g as t,y as u,$ as v,x as w,T as x,M as y};

frontend/dist/assets/dataProcessStatus-BNY61_45.js

@@ -0,0 +1 @@
+function t(e){return e.status==="running"?{label:"生成中",type:"primary"}:e.status==="completed"?e.output_dataset_id?{label:"已发布",type:"success"}:{label:"已生成",type:"warning"}:e.status==="failed"?{label:"生成失败",type:"danger"}:e.status==="stopped"?{label:"已停止",type:"info"}:{label:"待生成",type:"info"}}export{t as d};

frontend/dist/assets/dataset-C_hkNkI5.js

@@ -1 +1 @@
-import{aF as n,aH as d,aG as o,aI as r}from"./index-C8bRaOsd.js";const c=()=>n("/dataset-manage"),m=e=>n(`/dataset-manage/${e}`),l=e=>o("/dataset-manage",e),p=(e,a)=>d(`/dataset-manage/${e}`,a),g=e=>r(`/dataset-manage/${e}`),$=(e,a)=>{const t=new FormData;return a.forEach(s=>t.append("files",s)),o(`/dataset-manage/upload/${e}`,t,{headers:{"Content-Type":"multipart/form-data"}})},D=e=>n(`/dataset-manage/versions/${encodeURIComponent(e)}`),_=(e,a)=>n(`/dataset-manage/versions/${encodeURIComponent(e)}/${encodeURIComponent(a)}`),u=(e,a,t)=>o(`/dataset-manage/versions/${encodeURIComponent(e)}`,{content:a,description:t.description||"在线编辑",base_version_id:t.baseVersionId,expected_current_version_id:t.expectedCurrentVersionId}),v=(e,a,t)=>d(`/dataset-manage/versions/${encodeURIComponent(e)}/active`,{version_id:a,expected_current_version_id:t}),C=(e,a,t)=>r(`/dataset-manage/versions/${encodeURIComponent(e)}/${encodeURIComponent(a)}`,{expected_current_version_id:t}),F=(e,a,t)=>{const s=`/modelTF/dataset-manage/download/${e}/${a}`;return t?`${s}?version_id=${encodeURIComponent(t)}`:s},U=e=>`/modelTF/dataset-manage/download/${e}`;export{U as a,m as b,$ as c,g as d,l as e,D as f,c as g,_ as h,u as i,F as j,v as k,C as l,p as u};
+import{aF as n,aH as d,aG as o,aI as r}from"./index-CGB0A5x_.js";const c=()=>n("/dataset-manage"),m=e=>n(`/dataset-manage/${e}`),l=e=>o("/dataset-manage",e),p=(e,a)=>d(`/dataset-manage/${e}`,a),g=e=>r(`/dataset-manage/${e}`),$=(e,a)=>{const t=new FormData;return a.forEach(s=>t.append("files",s)),o(`/dataset-manage/upload/${e}`,t,{headers:{"Content-Type":"multipart/form-data"}})},D=e=>n(`/dataset-manage/versions/${encodeURIComponent(e)}`),_=(e,a)=>n(`/dataset-manage/versions/${encodeURIComponent(e)}/${encodeURIComponent(a)}`),u=(e,a,t)=>o(`/dataset-manage/versions/${encodeURIComponent(e)}`,{content:a,description:t.description||"在线编辑",base_version_id:t.baseVersionId,expected_current_version_id:t.expectedCurrentVersionId}),v=(e,a,t)=>d(`/dataset-manage/versions/${encodeURIComponent(e)}/active`,{version_id:a,expected_current_version_id:t}),C=(e,a,t)=>r(`/dataset-manage/versions/${encodeURIComponent(e)}/${encodeURIComponent(a)}`,{expected_current_version_id:t}),F=(e,a,t)=>{const s=`/modelTF/dataset-manage/download/${e}/${a}`;return t?`${s}?version_id=${encodeURIComponent(t)}`:s},U=e=>`/modelTF/dataset-manage/download/${e}`;export{U as a,m as b,$ as c,g as d,l as e,D as f,c as g,_ as h,u as i,F as j,v as k,C as l,p as u};

frontend/dist/assets/debounce-Bqww2DS8.js

@@ -1 +1 @@
-import{cz as S,cs as y}from"./index-C8bRaOsd.js";import{t as b}from"./toNumber-Bt8UgFrr.js";var h=function(){return S.Date.now()},R="Expected a function",A=Math.max,F=Math.min;function _(x,i,a){var u,d,m,f,n,r,o=0,E=!1,c=!1,g=!0;if(typeof x!="function")throw new TypeError(R);i=b(i)||0,y(a)&&(E=!!a.leading,c="maxWait"in a,m=c?A(b(a.maxWait)||0,i):m,g="trailing"in a?!!a.trailing:g);function v(e){var t=u,l=d;return u=d=void 0,o=e,f=x.apply(l,t),f}function p(e){return o=e,n=setTimeout(s,i),E?v(e):f}function C(e){var t=e-r,l=e-o,W=i-t;return c?F(W,m-l):W}function k(e){var t=e-r,l=e-o;return r===void 0||t>=i||t<0||c&&l>=m}function s(){var e=h();if(k(e))return I(e);n=setTimeout(s,C(e))}function I(e){return n=void 0,g&&u?v(e):(u=d=void 0,f)}function L(){n!==void 0&&clearTimeout(n),o=0,u=r=d=n=void 0}function M(){return n===void 0?f:I(h())}function T(){var e=h(),t=k(e);if(u=arguments,d=this,r=e,t){if(n===void 0)return p(r);if(c)return clearTimeout(n),n=setTimeout(s,i),v(r)}return n===void 0&&(n=setTimeout(s,i)),f}return T.cancel=L,T.flush=M,T}export{_ as d};
+import{cz as S,cs as y}from"./index-CGB0A5x_.js";import{t as b}from"./toNumber-IRhFg6gN.js";var h=function(){return S.Date.now()},R="Expected a function",A=Math.max,F=Math.min;function _(x,i,a){var u,d,m,f,n,r,o=0,E=!1,c=!1,g=!0;if(typeof x!="function")throw new TypeError(R);i=b(i)||0,y(a)&&(E=!!a.leading,c="maxWait"in a,m=c?A(b(a.maxWait)||0,i):m,g="trailing"in a?!!a.trailing:g);function v(e){var t=u,l=d;return u=d=void 0,o=e,f=x.apply(l,t),f}function p(e){return o=e,n=setTimeout(s,i),E?v(e):f}function C(e){var t=e-r,l=e-o,W=i-t;return c?F(W,m-l):W}function k(e){var t=e-r,l=e-o;return r===void 0||t>=i||t<0||c&&l>=m}function s(){var e=h();if(k(e))return I(e);n=setTimeout(s,C(e))}function I(e){return n=void 0,g&&u?v(e):(u=d=void 0,f)}function L(){n!==void 0&&clearTimeout(n),o=0,u=r=d=n=void 0}function M(){return n===void 0?f:I(h())}function T(){var e=h(),t=k(e);if(u=arguments,d=this,r=e,t){if(n===void 0)return p(r);if(c)return clearTimeout(n),n=setTimeout(s,i),v(r)}return n===void 0&&(n=setTimeout(s,i)),f}return T.cancel=L,T.flush=M,T}export{_ as d};

frontend/dist/assets/directive-vzjADwzS.js

@@ -1 +1 @@
-import{z as E,d7 as P,d as O,bp as z,I as g,w as j,K as R,s as K,L as Z,Z as q,aV as D,y as B,a0 as y,bt as F,P as I,J as S,bL as m,_ as k,a3 as _,aB as G,d8 as H}from"./index-C8bRaOsd.js";function J(e,s){let t;const o=B(!1),n=E({...e,originalPosition:"",originalOverflow:"",visible:!1});function r(l){n.text=l}function c(){const l=n.parent,u=f.ns;if(!l.vLoadingAddClassList){let i=l.getAttribute("loading-number");i=Number.parseInt(i)-1,i?l.setAttribute("loading-number",i.toString()):(y(l,u.bm("parent","relative")),l.removeAttribute("loading-number")),y(l,u.bm("parent","hidden"))}v(),C.unmount()}function v(){var l,u;(u=(l=f.$el)==null?void 0:l.parentNode)==null||u.removeChild(f.$el)}function x(){var l;e.beforeClose&&!e.beforeClose()||(o.value=!0,clearTimeout(t),t=setTimeout(a,400),n.visible=!1,(l=e.closed)==null||l.call(e))}function a(){if(!o.value)return;const l=n.parent;o.value=!1,l.vLoadingAddClassList=void 0,c()}const C=P(O({name:"ElLoading",setup(l,{expose:u}){const{ns:i,zIndex:N}=z("loading");return u({ns:i,zIndex:N}),()=>{const A=n.spinner||n.svg,T=g("svg",{class:"circular",viewBox:n.svgViewBox?n.svgViewBox:"0 0 50 50",...A?{innerHTML:A}:{}},[g("circle",{class:"path",cx:"25",cy:"25",r:"20",fill:"none"})]),V=n.text?g("p",{class:i.b("text")},[n.text]):void 0;return g(q,{name:i.b("fade"),onAfterLeave:a},{default:j(()=>[R(K("div",{style:{backgroundColor:n.background||""},class:[i.b("mask"),n.customClass,i.is("fullscreen",n.fullscreen)]},[g("div",{class:i.b("spinner")},[T,V])]),[[Z,n.visible]])])})}}}));Object.assign(C._context,s??{});const f=C.mount(document.createElement("div"));return{...D(n),setText:r,removeElLoadingChild:v,close:x,handleAfterLeave:a,vm:f,get $el(){return f.$el}}}let p;const L=function(e={},s){if(!F)return;const t=M(e);if(t.fullscreen&&p)return p;const o=J({...t,closed:()=>{var r;(r=t.closed)==null||r.call(t),t.fullscreen&&(p=void 0)}},s??L._context);Y(t,t.parent,o),w(t,t.parent,o),t.parent.vLoadingAddClassList=()=>w(t,t.parent,o);let n=t.parent.getAttribute("loading-number");return n?n=`${Number.parseInt(n)+1}`:n="1",t.parent.setAttribute("loading-number",n),t.parent.appendChild(o.$el),I(()=>o.visible.value=t.visible),t.fullscreen&&(p=o),o},M=e=>{let s;return S(e.target)?s=document.querySelector(e.target)??document.body:s=e.target||document.body,{parent:s===document.body||e.body?document.body:s,background:e.background||"",svg:e.svg||"",svgViewBox:e.svgViewBox||"",spinner:e.spinner||!1,text:e.text||"",fullscreen:s===document.body&&(e.fullscreen??!0),lock:e.lock??!1,customClass:e.customClass||"",visible:e.visible??!0,beforeClose:e.beforeClose,closed:e.closed,target:s}},Y=async(e,s,t)=>{const{nextZIndex:o}=t.vm.zIndex||t.vm._.exposed.zIndex,n={};if(e.fullscreen)t.originalPosition.value=m(document.body,"position"),t.originalOverflow.value=m(document.body,"overflow"),n.zIndex=o();else if(e.parent===document.body){t.originalPosition.value=m(document.body,"position"),await I();for(const r of["top","left"]){const c=r==="top"?"scrollTop":"scrollLeft";n[r]=`${e.target.getBoundingClientRect()[r]+document.body[c]+document.documentElement[c]-Number.parseInt(m(document.body,`margin-${r}`),10)}px`}for(const r of["height","width"])n[r]=`${e.target.getBoundingClientRect()[r]}px`}else t.originalPosition.value=m(s,"position");for(const[r,c]of Object.entries(n))t.$el.style[r]=c},w=(e,s,t)=>{const o=t.vm.ns||t.vm._.exposed.ns;["absolute","fixed","sticky"].includes(t.originalPosition.value)?y(s,o.bm("parent","relative")):k(s,o.bm("parent","relative")),e.fullscreen&&e.lock?k(s,o.bm("parent","hidden")):y(s,o.bm("parent","hidden"))};L._context=null;const b=Symbol("ElLoading"),d=e=>`element-loading-${H(e)}`,h=(e,s)=>{const t=s.instance,o=a=>_(s.value)?s.value[a]:void 0,n=a=>B(S(a)&&(t==null?void 0:t[a])||a),r=a=>n(o(a)||e.getAttribute(d(a))),c=o("fullscreen")??s.modifiers.fullscreen,v={text:r("text"),svg:r("svg"),svgViewBox:r("svgViewBox"),spinner:r("spinner"),background:r("background"),customClass:r("customClass"),fullscreen:c,target:o("target")??(c?void 0:e),body:o("body")??s.modifiers.body,lock:o("lock")??s.modifiers.lock},x=L(v);x._context=$._context,e[b]={options:v,instance:x}},Q=(e,s)=>{for(const t of Object.keys(e))G(e[t])&&(e[t].value=s[t])},$={mounted(e,s){s.value&&h(e,s)},updated(e,s){const t=e[b];if(!s.value){t==null||t.instance.close(),e[b]=null;return}t?Q(t.options,_(s.value)?s.value:{text:e.getAttribute(d("text")),svg:e.getAttribute(d("svg")),svgViewBox:e.getAttribute(d("svgViewBox")),spinner:e.getAttribute(d("spinner")),background:e.getAttribute(d("background")),customClass:e.getAttribute(d("customClass"))}):h(e,s)},unmounted(e){var s;(s=e[b])==null||s.instance.close(),e[b]=null}};$._context=null;export{$ as v};
+import{z as E,d7 as P,d as O,bp as z,I as g,w as j,K as R,s as K,L as Z,Z as q,aV as D,y as B,a0 as y,bt as F,P as I,J as S,bL as m,_ as k,a3 as _,aB as G,d8 as H}from"./index-CGB0A5x_.js";function J(e,s){let t;const o=B(!1),n=E({...e,originalPosition:"",originalOverflow:"",visible:!1});function r(l){n.text=l}function c(){const l=n.parent,u=f.ns;if(!l.vLoadingAddClassList){let i=l.getAttribute("loading-number");i=Number.parseInt(i)-1,i?l.setAttribute("loading-number",i.toString()):(y(l,u.bm("parent","relative")),l.removeAttribute("loading-number")),y(l,u.bm("parent","hidden"))}v(),C.unmount()}function v(){var l,u;(u=(l=f.$el)==null?void 0:l.parentNode)==null||u.removeChild(f.$el)}function x(){var l;e.beforeClose&&!e.beforeClose()||(o.value=!0,clearTimeout(t),t=setTimeout(a,400),n.visible=!1,(l=e.closed)==null||l.call(e))}function a(){if(!o.value)return;const l=n.parent;o.value=!1,l.vLoadingAddClassList=void 0,c()}const C=P(O({name:"ElLoading",setup(l,{expose:u}){const{ns:i,zIndex:N}=z("loading");return u({ns:i,zIndex:N}),()=>{const A=n.spinner||n.svg,T=g("svg",{class:"circular",viewBox:n.svgViewBox?n.svgViewBox:"0 0 50 50",...A?{innerHTML:A}:{}},[g("circle",{class:"path",cx:"25",cy:"25",r:"20",fill:"none"})]),V=n.text?g("p",{class:i.b("text")},[n.text]):void 0;return g(q,{name:i.b("fade"),onAfterLeave:a},{default:j(()=>[R(K("div",{style:{backgroundColor:n.background||""},class:[i.b("mask"),n.customClass,i.is("fullscreen",n.fullscreen)]},[g("div",{class:i.b("spinner")},[T,V])]),[[Z,n.visible]])])})}}}));Object.assign(C._context,s??{});const f=C.mount(document.createElement("div"));return{...D(n),setText:r,removeElLoadingChild:v,close:x,handleAfterLeave:a,vm:f,get $el(){return f.$el}}}let p;const L=function(e={},s){if(!F)return;const t=M(e);if(t.fullscreen&&p)return p;const o=J({...t,closed:()=>{var r;(r=t.closed)==null||r.call(t),t.fullscreen&&(p=void 0)}},s??L._context);Y(t,t.parent,o),w(t,t.parent,o),t.parent.vLoadingAddClassList=()=>w(t,t.parent,o);let n=t.parent.getAttribute("loading-number");return n?n=`${Number.parseInt(n)+1}`:n="1",t.parent.setAttribute("loading-number",n),t.parent.appendChild(o.$el),I(()=>o.visible.value=t.visible),t.fullscreen&&(p=o),o},M=e=>{let s;return S(e.target)?s=document.querySelector(e.target)??document.body:s=e.target||document.body,{parent:s===document.body||e.body?document.body:s,background:e.background||"",svg:e.svg||"",svgViewBox:e.svgViewBox||"",spinner:e.spinner||!1,text:e.text||"",fullscreen:s===document.body&&(e.fullscreen??!0),lock:e.lock??!1,customClass:e.customClass||"",visible:e.visible??!0,beforeClose:e.beforeClose,closed:e.closed,target:s}},Y=async(e,s,t)=>{const{nextZIndex:o}=t.vm.zIndex||t.vm._.exposed.zIndex,n={};if(e.fullscreen)t.originalPosition.value=m(document.body,"position"),t.originalOverflow.value=m(document.body,"overflow"),n.zIndex=o();else if(e.parent===document.body){t.originalPosition.value=m(document.body,"position"),await I();for(const r of["top","left"]){const c=r==="top"?"scrollTop":"scrollLeft";n[r]=`${e.target.getBoundingClientRect()[r]+document.body[c]+document.documentElement[c]-Number.parseInt(m(document.body,`margin-${r}`),10)}px`}for(const r of["height","width"])n[r]=`${e.target.getBoundingClientRect()[r]}px`}else t.originalPosition.value=m(s,"position");for(const[r,c]of Object.entries(n))t.$el.style[r]=c},w=(e,s,t)=>{const o=t.vm.ns||t.vm._.exposed.ns;["absolute","fixed","sticky"].includes(t.originalPosition.value)?y(s,o.bm("parent","relative")):k(s,o.bm("parent","relative")),e.fullscreen&&e.lock?k(s,o.bm("parent","hidden")):y(s,o.bm("parent","hidden"))};L._context=null;const b=Symbol("ElLoading"),d=e=>`element-loading-${H(e)}`,h=(e,s)=>{const t=s.instance,o=a=>_(s.value)?s.value[a]:void 0,n=a=>B(S(a)&&(t==null?void 0:t[a])||a),r=a=>n(o(a)||e.getAttribute(d(a))),c=o("fullscreen")??s.modifiers.fullscreen,v={text:r("text"),svg:r("svg"),svgViewBox:r("svgViewBox"),spinner:r("spinner"),background:r("background"),customClass:r("customClass"),fullscreen:c,target:o("target")??(c?void 0:e),body:o("body")??s.modifiers.body,lock:o("lock")??s.modifiers.lock},x=L(v);x._context=$._context,e[b]={options:v,instance:x}},Q=(e,s)=>{for(const t of Object.keys(e))G(e[t])&&(e[t].value=s[t])},$={mounted(e,s){s.value&&h(e,s)},updated(e,s){const t=e[b];if(!s.value){t==null||t.instance.close(),e[b]=null;return}t?Q(t.options,_(s.value)?s.value:{text:e.getAttribute(d("text")),svg:e.getAttribute(d("svg")),svgViewBox:e.getAttribute(d("svgViewBox")),spinner:e.getAttribute(d("spinner")),background:e.getAttribute(d("background")),customClass:e.getAttribute(d("customClass"))}):h(e,s)},unmounted(e){var s;(s=e[b])==null||s.instance.close(),e[b]=null}};$._context=null;export{$ as v};

frontend/dist/assets/dropdown-B5u1D9z4.js

@@ -1 +1 @@
-import{b as p,W as o,R as e,i as a}from"./index-C8bRaOsd.js";import{u as t,r as n,b as r}from"./el-popper-BY86ZM1h.js";const d=p({trigger:{...r.trigger,type:e([String,Array])},triggerKeys:{type:e(Array),default:()=>[o.enter,o.numpadEnter,o.space,o.down]},virtualTriggering:r.virtualTriggering,virtualRef:r.virtualRef,effect:{...t.effect,default:"light"},type:{type:e(String)},placement:{type:e(String),default:"bottom"},popperOptions:{type:e(Object),default:()=>({})},id:String,size:{type:String,default:""},splitButton:Boolean,hideOnClick:{type:Boolean,default:!0},loop:{type:Boolean,default:!0},showArrow:{type:Boolean,default:!0},showTimeout:{type:Number,default:150},hideTimeout:{type:Number,default:150},tabindex:{type:e([Number,String]),default:0},maxHeight:{type:e([Number,String]),default:""},popperClass:t.popperClass,popperStyle:t.popperStyle,disabled:Boolean,role:{type:String,values:n,default:"menu"},buttonProps:{type:e(Object)},teleported:t.teleported,appendTo:t.appendTo,persistent:{type:Boolean,default:!0}}),u=p({command:{type:[Object,String,Number],default:()=>({})},disabled:Boolean,divided:Boolean,textValue:String,icon:{type:a}}),s=p({onKeydown:{type:e(Function)}});export{u as a,s as b,d};
+import{b as p,W as o,R as e,i as a}from"./index-CGB0A5x_.js";import{u as t,r as n,b as r}from"./el-popper-DvBtRO32.js";const d=p({trigger:{...r.trigger,type:e([String,Array])},triggerKeys:{type:e(Array),default:()=>[o.enter,o.numpadEnter,o.space,o.down]},virtualTriggering:r.virtualTriggering,virtualRef:r.virtualRef,effect:{...t.effect,default:"light"},type:{type:e(String)},placement:{type:e(String),default:"bottom"},popperOptions:{type:e(Object),default:()=>({})},id:String,size:{type:String,default:""},splitButton:Boolean,hideOnClick:{type:Boolean,default:!0},loop:{type:Boolean,default:!0},showArrow:{type:Boolean,default:!0},showTimeout:{type:Number,default:150},hideTimeout:{type:Number,default:150},tabindex:{type:e([Number,String]),default:0},maxHeight:{type:e([Number,String]),default:""},popperClass:t.popperClass,popperStyle:t.popperStyle,disabled:Boolean,role:{type:String,values:n,default:"menu"},buttonProps:{type:e(Object)},teleported:t.teleported,appendTo:t.appendTo,persistent:{type:Boolean,default:!0}}),u=p({command:{type:[Object,String,Number],default:()=>({})},disabled:Boolean,divided:Boolean,textValue:String,icon:{type:a}}),s=p({onKeydown:{type:e(Function)}});export{u as a,s as b,d};

frontend/dist/assets/el-alert-DBfM1mZE.js

@@ -1 +1 @@
-import{b as N,bI as $,bs as S,d as D,bF as V,a as x,o as l,e as n,w as d,K as M,q as h,n as o,f as e,E as k,h as m,r as A,g as i,c,x as g,aa as v,M as F,s as P,bo as j,L as q,Z as z,y as K,j as E,l as L}from"./index-C8bRaOsd.js";import{f as O,b as Z}from"./vnode-B9WOR-0a.js";const G=["light","dark"],H=N({title:{type:String,default:""},description:{type:String,default:""},type:{type:String,values:$(S),default:"info"},closable:{type:Boolean,default:!0},closeText:{type:String,default:""},showIcon:Boolean,center:Boolean,effect:{type:String,values:G,default:"light"}}),J={close:t=>t instanceof MouseEvent};var Q=D({name:"ElAlert",__name:"alert",props:H,emits:J,setup(t,{emit:w}){const{Close:B}=j,p=t,T=w,r=V(),s=x("alert"),y=K(!0),b=E(()=>S[p.type]),u=E(()=>{var f;if(p.description)return!0;const a=(f=r.default)==null?void 0:f.call(r);return a?O(a).some(I=>!Z(I)):!1}),C=a=>{y.value=!1,T("close",a)};return(a,f)=>(l(),n(z,{name:e(s).b("fade"),persisted:""},{default:d(()=>[M(h("div",{class:o([e(s).b(),e(s).m(t.type),e(s).is("center",t.center),e(s).is(t.effect)]),role:"alert"},[t.showIcon&&(a.$slots.icon||b.value)?(l(),n(e(k),{key:0,class:o([e(s).e("icon"),e(s).is("big",u.value)])},{default:d(()=>[m(a.$slots,"icon",{},()=>[(l(),n(A(b.value)))])]),_:3},8,["class"])):i("v-if",!0),h("div",{class:o(e(s).e("content"))},[t.title||a.$slots.title?(l(),c("span",{key:0,class:o([e(s).e("title"),{"with-description":u.value}])},[m(a.$slots,"title",{},()=>[g(v(t.title),1)])],2)):i("v-if",!0),u.value?(l(),c("p",{key:1,class:o(e(s).e("description"))},[m(a.$slots,"default",{},()=>[g(v(t.description),1)])],2)):i("v-if",!0),t.closable?(l(),c(F,{key:2},[t.closeText?(l(),c("div",{key:0,class:o([e(s).e("close-btn"),e(s).is("customed")]),onClick:C},v(t.closeText),3)):(l(),n(e(k),{key:1,class:o(e(s).e("close-btn")),onClick:C},{default:d(()=>[P(e(B))]),_:1},8,["class"]))],64)):i("v-if",!0)],2)],2),[[q,y.value]])]),_:3},8,["name"]))}}),R=Q;const X=L(R);export{X as E};
+import{b as N,bI as $,bs as S,d as D,bF as V,a as x,o as l,e as n,w as d,K as M,q as h,n as o,f as e,E as k,h as m,r as A,g as i,c,x as g,aa as v,M as F,s as P,bo as j,L as q,Z as z,y as K,j as E,l as L}from"./index-CGB0A5x_.js";import{f as O,b as Z}from"./vnode-DFpZw5lG.js";const G=["light","dark"],H=N({title:{type:String,default:""},description:{type:String,default:""},type:{type:String,values:$(S),default:"info"},closable:{type:Boolean,default:!0},closeText:{type:String,default:""},showIcon:Boolean,center:Boolean,effect:{type:String,values:G,default:"light"}}),J={close:t=>t instanceof MouseEvent};var Q=D({name:"ElAlert",__name:"alert",props:H,emits:J,setup(t,{emit:w}){const{Close:B}=j,p=t,T=w,r=V(),s=x("alert"),y=K(!0),b=E(()=>S[p.type]),u=E(()=>{var f;if(p.description)return!0;const a=(f=r.default)==null?void 0:f.call(r);return a?O(a).some(I=>!Z(I)):!1}),C=a=>{y.value=!1,T("close",a)};return(a,f)=>(l(),n(z,{name:e(s).b("fade"),persisted:""},{default:d(()=>[M(h("div",{class:o([e(s).b(),e(s).m(t.type),e(s).is("center",t.center),e(s).is(t.effect)]),role:"alert"},[t.showIcon&&(a.$slots.icon||b.value)?(l(),n(e(k),{key:0,class:o([e(s).e("icon"),e(s).is("big",u.value)])},{default:d(()=>[m(a.$slots,"icon",{},()=>[(l(),n(A(b.value)))])]),_:3},8,["class"])):i("v-if",!0),h("div",{class:o(e(s).e("content"))},[t.title||a.$slots.title?(l(),c("span",{key:0,class:o([e(s).e("title"),{"with-description":u.value}])},[m(a.$slots,"title",{},()=>[g(v(t.title),1)])],2)):i("v-if",!0),u.value?(l(),c("p",{key:1,class:o(e(s).e("description"))},[m(a.$slots,"default",{},()=>[g(v(t.description),1)])],2)):i("v-if",!0),t.closable?(l(),c(F,{key:2},[t.closeText?(l(),c("div",{key:0,class:o([e(s).e("close-btn"),e(s).is("customed")]),onClick:C},v(t.closeText),3)):(l(),n(e(k),{key:1,class:o(e(s).e("close-btn")),onClick:C},{default:d(()=>[P(e(B))]),_:1},8,["class"]))],64)):i("v-if",!0)],2)],2),[[q,y.value]])]),_:3},8,["name"]))}}),R=Q;const X=L(R);export{X as E};

frontend/dist/assets/el-avatar-DX97lGZt.js

@@ -1 +1 @@
-import{b as j,i as w,aj as z,R as c,ak as m,d as A,B as V,a as E,D as I,o as f,c as y,al as S,e as h,w as _,r as q,f as D,E as F,h as G,n as K,y as L,j as p,J as R,am as J,s as d,an as O,ao as U,x as $,F as H,z as M,a9 as g,l as Q,ab as W}from"./index-C8bRaOsd.js";import{f as X}from"./vnode-B9WOR-0a.js";import{u as C,a as Y,E as Z}from"./el-popper-BY86ZM1h.js";const aa=j({size:{type:[Number,String],values:z,validator:a=>m(a)},shape:{type:String,values:["circle","square"]},icon:{type:w},src:{type:String,default:""},alt:String,srcSet:String,fit:{type:c(String),default:"cover"}}),ea={error:a=>a instanceof Event},b=Symbol("avatarGroupContextKey"),ta={size:{type:c([Number,String]),values:z,validator:a=>m(a)},shape:{type:c(String),values:["circle","square"]},collapseAvatars:Boolean,collapseAvatarsTooltip:Boolean,maxCollapseAvatars:{type:Number,default:1},effect:{type:c(String),default:"light"},placement:{type:c(String),values:Y,default:"top"},popperClass:C.popperClass,popperStyle:C.popperStyle,collapseClass:String,collapseStyle:{type:c([String,Array,Object,Boolean]),default:void 0}},sa=["src","alt","srcset"];var la=A({name:"ElAvatar",__name:"avatar",props:aa,emits:ea,setup(a,{emit:n}){const t=a,r=n,e=V(b,void 0),l=E("avatar"),o=L(!1),s=p(()=>t.size??(e==null?void 0:e.size)),v=p(()=>t.shape??(e==null?void 0:e.shape)??"circle"),B=p(()=>{const{icon:i}=t,u=[l.b()];return R(s.value)&&u.push(l.m(s.value)),i&&u.push(l.m("icon")),v.value&&u.push(l.m(v.value)),u}),x=p(()=>m(s.value)?l.cssVarBlock({size:J(s.value)}):void 0),T=p(()=>({objectFit:t.fit}));I(()=>[t.src,t.srcSet],()=>o.value=!1);function P(i){o.value=!0,r("error",i)}return(i,u)=>(f(),y("span",{class:K(B.value),style:S(x.value)},[(a.src||a.srcSet)&&!o.value?(f(),y("img",{key:0,src:a.src,alt:a.alt,srcset:a.srcSet,style:S(T.value),onError:P},null,44,sa)):a.icon?(f(),h(D(F),{key:1},{default:_(()=>[(f(),h(q(a.icon)))]),_:1})):G(i.$slots,"default",{key:2})],6))}}),k=la,N=A({name:"ElAvatarGroup",props:ta,setup(a,{slots:n}){const t=E("avatar-group");return H(b,M({size:g(a,"size"),shape:g(a,"shape")})),()=>{var l;const r=X(((l=n.default)==null?void 0:l.call(n))??[]);let e=r;if(a.collapseAvatars&&r.length>a.maxCollapseAvatars){e=r.slice(0,a.maxCollapseAvatars);const o=r.slice(a.maxCollapseAvatars);e.push(d(Z,{popperClass:a.popperClass,popperStyle:a.popperStyle,placement:a.placement,effect:a.effect,disabled:!a.collapseAvatarsTooltip},{default:()=>d(k,{size:a.size,shape:a.shape,class:a.collapseClass,style:a.collapseStyle},{default:()=>[$("+ "),o.length]}),content:()=>d("div",{class:t.e("collapse-avatars")},[o.map((s,v)=>O(s)?U(s,{key:s.key??v}):s)])}))}return d("div",{class:t.b()},[e])}}});const na=Q(k,{AvatarGroup:N});W(N);export{na as E};
+import{b as j,i as w,aj as z,R as c,ak as m,d as A,B as V,a as E,D as I,o as f,c as y,al as S,e as h,w as _,r as q,f as D,E as F,h as G,n as K,y as L,j as p,J as R,am as J,s as d,an as O,ao as U,x as $,F as H,z as M,a9 as g,l as Q,ab as W}from"./index-CGB0A5x_.js";import{f as X}from"./vnode-DFpZw5lG.js";import{u as C,a as Y,E as Z}from"./el-popper-DvBtRO32.js";const aa=j({size:{type:[Number,String],values:z,validator:a=>m(a)},shape:{type:String,values:["circle","square"]},icon:{type:w},src:{type:String,default:""},alt:String,srcSet:String,fit:{type:c(String),default:"cover"}}),ea={error:a=>a instanceof Event},b=Symbol("avatarGroupContextKey"),ta={size:{type:c([Number,String]),values:z,validator:a=>m(a)},shape:{type:c(String),values:["circle","square"]},collapseAvatars:Boolean,collapseAvatarsTooltip:Boolean,maxCollapseAvatars:{type:Number,default:1},effect:{type:c(String),default:"light"},placement:{type:c(String),values:Y,default:"top"},popperClass:C.popperClass,popperStyle:C.popperStyle,collapseClass:String,collapseStyle:{type:c([String,Array,Object,Boolean]),default:void 0}},sa=["src","alt","srcset"];var la=A({name:"ElAvatar",__name:"avatar",props:aa,emits:ea,setup(a,{emit:n}){const t=a,r=n,e=V(b,void 0),l=E("avatar"),o=L(!1),s=p(()=>t.size??(e==null?void 0:e.size)),v=p(()=>t.shape??(e==null?void 0:e.shape)??"circle"),B=p(()=>{const{icon:i}=t,u=[l.b()];return R(s.value)&&u.push(l.m(s.value)),i&&u.push(l.m("icon")),v.value&&u.push(l.m(v.value)),u}),x=p(()=>m(s.value)?l.cssVarBlock({size:J(s.value)}):void 0),T=p(()=>({objectFit:t.fit}));I(()=>[t.src,t.srcSet],()=>o.value=!1);function P(i){o.value=!0,r("error",i)}return(i,u)=>(f(),y("span",{class:K(B.value),style:S(x.value)},[(a.src||a.srcSet)&&!o.value?(f(),y("img",{key:0,src:a.src,alt:a.alt,srcset:a.srcSet,style:S(T.value),onError:P},null,44,sa)):a.icon?(f(),h(D(F),{key:1},{default:_(()=>[(f(),h(q(a.icon)))]),_:1})):G(i.$slots,"default",{key:2})],6))}}),k=la,N=A({name:"ElAvatarGroup",props:ta,setup(a,{slots:n}){const t=E("avatar-group");return H(b,M({size:g(a,"size"),shape:g(a,"shape")})),()=>{var l;const r=X(((l=n.default)==null?void 0:l.call(n))??[]);let e=r;if(a.collapseAvatars&&r.length>a.maxCollapseAvatars){e=r.slice(0,a.maxCollapseAvatars);const o=r.slice(a.maxCollapseAvatars);e.push(d(Z,{popperClass:a.popperClass,popperStyle:a.popperStyle,placement:a.placement,effect:a.effect,disabled:!a.collapseAvatarsTooltip},{default:()=>d(k,{size:a.size,shape:a.shape,class:a.collapseClass,style:a.collapseStyle},{default:()=>[$("+ "),o.length]}),content:()=>d("div",{class:t.e("collapse-avatars")},[o.map((s,v)=>O(s)?U(s,{key:s.key??v}):s)])}))}return d("div",{class:t.b()},[e])}}});const na=Q(k,{AvatarGroup:N});W(N);export{na as E};

frontend/dist/assets/el-card-BWcR1iD2.js

@@ -1 +1 @@
-import{b as y,R as h,d as v,u as g,a as C,o as r,c as l,n as o,f as a,h as d,x as i,aa as f,g as c,q as S,al as b,l as m}from"./index-C8bRaOsd.js";const w=y({header:{type:String,default:""},footer:{type:String,default:""},bodyStyle:{type:h([String,Object,Array,Boolean]),default:""},headerClass:String,bodyClass:String,footerClass:String,shadow:{type:String,values:["always","hover","never"],default:void 0}});var $=v({name:"ElCard",__name:"card",props:w,setup(e){const u=g("card"),s=C("card");return(t,p)=>{var n;return r(),l("div",{class:o([a(s).b(),a(s).is(`${e.shadow||((n=a(u))==null?void 0:n.shadow)||"always"}-shadow`)])},[t.$slots.header||e.header?(r(),l("div",{key:0,class:o([a(s).e("header"),e.headerClass])},[d(t.$slots,"header",{},()=>[i(f(e.header),1)])],2)):c("v-if",!0),S("div",{class:o([a(s).e("body"),e.bodyClass]),style:b(e.bodyStyle)},[d(t.$slots,"default")],6),t.$slots.footer||e.footer?(r(),l("div",{key:1,class:o([a(s).e("footer"),e.footerClass])},[d(t.$slots,"footer",{},()=>[i(f(e.footer),1)])],2)):c("v-if",!0)],2)}}}),k=$;const E=m(k);export{E};
+import{b as y,R as h,d as v,u as g,a as C,o as r,c as l,n as o,f as a,h as d,x as i,aa as f,g as c,q as S,al as b,l as m}from"./index-CGB0A5x_.js";const w=y({header:{type:String,default:""},footer:{type:String,default:""},bodyStyle:{type:h([String,Object,Array,Boolean]),default:""},headerClass:String,bodyClass:String,footerClass:String,shadow:{type:String,values:["always","hover","never"],default:void 0}});var $=v({name:"ElCard",__name:"card",props:w,setup(e){const u=g("card"),s=C("card");return(t,p)=>{var n;return r(),l("div",{class:o([a(s).b(),a(s).is(`${e.shadow||((n=a(u))==null?void 0:n.shadow)||"always"}-shadow`)])},[t.$slots.header||e.header?(r(),l("div",{key:0,class:o([a(s).e("header"),e.headerClass])},[d(t.$slots,"header",{},()=>[i(f(e.header),1)])],2)):c("v-if",!0),S("div",{class:o([a(s).e("body"),e.bodyClass]),style:b(e.bodyStyle)},[d(t.$slots,"default")],6),t.$slots.footer||e.footer?(r(),l("div",{key:1,class:o([a(s).e("footer"),e.footerClass])},[d(t.$slots,"footer",{},()=>[i(f(e.footer),1)])],2)):c("v-if",!0)],2)}}}),k=$;const E=m(k);export{E};

frontend/dist/assets/el-descriptions-Ck0uYYUU.js

@@ -1 +1 @@
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+import{b as B,aS as H,d as P,R as J,am as A,a as L,K as x,I as D,a8 as Q,B as q,f as d,o as c,c as f,q as v,M as g,ad as z,e as I,s as R,bF as T,n as _,h as j,x as K,aa as M,g as X,j as Y,F as Z,ab as ee,l as te}from"./index-CGB0A5x_.js";import{g as se,f as le}from"./vnode-DFpZw5lG.js";import{e as ae}from"./index-CCavIuTY.js";const O=["left","center","right"],re=B({border:Boolean,column:{type:Number,default:3},direction:{type:String,values:["horizontal","vertical"],default:"horizontal"},size:H,title:{type:String,default:""},extra:{type:String,default:""},labelWidth:{type:[String,Number]}}),U="ElDescriptionsItem",ne=B({label:{type:String,default:""},span:{type:Number,default:1},rowspan:{type:Number,default:1},width:{type:[String,Number],default:""},minWidth:{type:[String,Number],default:""},labelWidth:{type:[String,Number]},align:{type:String,values:O,default:"left"},labelAlign:{type:String,values:O},className:{type:String,default:""},labelClassName:{type:String,default:""}}),G=P({name:U,props:ne}),V=Symbol("elDescriptions"),ie=B({row:{type:J(Array),default:()=>[]}});var E=P({name:"ElDescriptionsCell",props:{cell:{type:Object},tag:{type:String,default:"td"},type:{type:String}},setup(){return{descriptions:q(V,{})}},render(){var y;const e=se(this.cell),u=(((y=this.cell)==null?void 0:y.dirs)||[]).map(n=>{const{dir:a,arg:l,modifiers:W,value:$}=n;return[a,$,l,W]}),{border:m,direction:C}=this.descriptions,r=C==="vertical",h=()=>{var n,a,l;return((l=(a=(n=this.cell)==null?void 0:n.children)==null?void 0:a.label)==null?void 0:l.call(a))||e.label},k=()=>{var n,a,l;return(l=(a=(n=this.cell)==null?void 0:n.children)==null?void 0:a.default)==null?void 0:l.call(a)},S=e.span,s=e.rowspan,b=e.align?`is-${e.align}`:"",p=e.labelAlign?`is-${e.labelAlign}`:b,i=e.className,w=e.labelClassName,o={width:A(this.type==="label"?e.labelWidth??this.descriptions.labelWidth??e.width:e.width),minWidth:A(e.minWidth)},t=L("descriptions");switch(this.type){case"label":return x(D(this.tag,{style:o,class:[t.e("cell"),t.e("label"),t.is("bordered-label",m),t.is("vertical-label",r),p,w],colSpan:r?S:1,rowspan:r?1:s},h()),u);case"content":return x(D(this.tag,{style:o,class:[t.e("cell"),t.e("content"),t.is("bordered-content",m),t.is("vertical-content",r),b,i],colSpan:r?S:S*2-1,rowspan:r?s*2-1:s},k()),u);default:{const n=h(),a={},l=A(e.labelWidth??this.descriptions.labelWidth);return l&&(a.width=l,a.display="inline-block"),x(D("td",{style:o,class:[t.e("cell"),b],colSpan:S,rowspan:s},[Q(n)?void 0:D("span",{style:a,class:[t.e("label"),w]},n),D("span",{class:[t.e("content"),i]},k())]),u)}}}});const oe={key:1};var ce=P({name:"ElDescriptionsRow",__name:"descriptions-row",props:ie,setup(e){const u=q(V,{});return(m,C)=>d(u).direction==="vertical"?(c(),f(g,{key:0},[v("tr",null,[(c(!0),f(g,null,z(e.row,(r,h)=>(c(),I(d(E),{key:`tr1-${h}`,cell:r,tag:"th",type:"label"},null,8,["cell"]))),128))]),v("tr",null,[(c(!0),f(g,null,z(e.row,(r,h)=>(c(),I(d(E),{key:`tr2-${h}`,cell:r,tag:"td",type:"content"},null,8,["cell"]))),128))])],64)):(c(),f("tr",oe,[(c(!0),f(g,null,z(e.row,(r,h)=>(c(),f(g,{key:`tr3-${h}`},[d(u).border?(c(),f(g,{key:0},[R(d(E),{cell:r,tag:"td",type:"label"},null,8,["cell"]),R(d(E),{cell:r,tag:"td",type:"content"},null,8,["cell"])],64)):(c(),I(d(E),{key:1,cell:r,tag:"td",type:"both"},null,8,["cell"]))],64))),128))]))}}),pe=ce,de=P({name:"ElDescriptions",__name:"description",props:re,setup(e){const u=e,m=L("descriptions"),C=ae(),r=T();Z(V,u);const h=Y(()=>[m.b(),m.m(C.value)]),k=(s,b,p,i=!1)=>(s.props||(s.props={}),b>p&&(s.props.span=p),i&&(s.props.span=b),s),S=()=>{if(!r.default)return[];const s=le(r.default()).filter(t=>{var y;return((y=t==null?void 0:t.type)==null?void 0:y.name)===U}),b=[];let p=[],i=u.column,w=0;const o=[];return s.forEach((t,y)=>{var W,$,F;const n=((W=t.props)==null?void 0:W.span)||1,a=(($=t.props)==null?void 0:$.rowspan)||1,l=b.length;if(o[l]||(o[l]=0),a>1)for(let N=1;N<a;N++)o[F=l+N]||(o[F]=0),o[l+N]++,w++;if(o[l]>0&&(i-=o[l],o[l]=0),y<s.length-1&&(w+=n>i?i:n),y===s.length-1){const N=u.column-w%u.column;p.push(k(t,N,i,!0)),b.push(p);return}n<i?(i-=n,p.push(t)):(p.push(k(t,n,i)),b.push(p),i=u.column,p=[])}),b};return(s,b)=>(c(),f("div",{class:_(h.value)},[e.title||e.extra||s.$slots.title||s.$slots.extra?(c(),f("div",{key:0,class:_(d(m).e("header"))},[v("div",{class:_(d(m).e("title"))},[j(s.$slots,"title",{},()=>[K(M(e.title),1)])],2),v("div",{class:_(d(m).e("extra"))},[j(s.$slots,"extra",{},()=>[K(M(e.extra),1)])],2)],2)):X("v-if",!0),v("div",{class:_(d(m).e("body"))},[v("table",{class:_([d(m).e("table"),d(m).is("bordered",e.border)])},[v("tbody",null,[(c(!0),f(g,null,z(S(),(p,i)=>(c(),I(pe,{key:i,row:p},null,8,["row"]))),128))])],2)],2)],2))}}),ue=de;const fe=te(ue,{DescriptionsItem:G}),ye=ee(G);export{ye as E,fe as a};

frontend/dist/assets/el-dialog-BCHby4dE.js

@@ -1 +1 @@
-import{d as L,aW as G,B as q,o as u,c as A,q as R,h as i,n as t,f as e,aa as H,s as $,w as r,e as B,r as Q,bE as x,E as _,g as N,al as O,j as E,bF as ee,a as oe,K as se,Y as K,aX as ae,L as le,Z as te,bg as ne,y as M,F as re,l as ie}from"./index-C8bRaOsd.js";import{u as de}from"./index-B2Z3XS2S.js";import{E as ce,a as ue}from"./index-CMlv-HLm.js";import{F as fe,f as ge}from"./index-BpW9Z31J.js";import{d as me,a as ve,b as j,c as be,e as ye,u as Ce}from"./use-dialog-BFKGt-Ue.js";import{u as he}from"./index-BIY0gTx5.js";const pe=(...o)=>f=>{o.forEach(g=>{g.value=f})},we=["aria-level"],ke=["aria-label"],Re=["id"];var $e=L({name:"ElDialogContent",__name:"dialog-content",props:ve,emits:me,setup(o,{expose:f}){const{t:g}=G(),{Close:F}=x,a=o,{dialogRef:m,headerRef:y,bodyId:v,ns:s,style:C}=q(j),{focusTrapRef:h}=q(fe),D=pe(h,m),p=E(()=>!!a.draggable),{resetPosition:w,updatePosition:I,isDragging:P}=he(m,y,p,E(()=>!!a.overflow)),T=E(()=>[s.b(),s.is("fullscreen",a.fullscreen),s.is("draggable",p.value),s.is("dragging",P.value),s.is("align-center",!!a.alignCenter),{[s.m("center")]:a.center}]);return f({resetPosition:w,updatePosition:I}),(n,k)=>(u(),A("div",{ref:e(D),class:t(T.value),style:O(e(C)),tabindex:"-1"},[R("header",{ref_key:"headerRef",ref:y,class:t([e(s).e("header"),o.headerClass,{"show-close":o.showClose}])},[i(n.$slots,"header",{},()=>[R("span",{role:"heading","aria-level":o.ariaLevel,class:t(e(s).e("title"))},H(o.title),11,we)]),o.showClose?(u(),A("button",{key:0,"aria-label":e(g)("el.dialog.close"),class:t(e(s).e("headerbtn")),type:"button",onClick:k[0]||(k[0]=z=>n.$emit("close"))},[$(e(_),{class:t(e(s).e("close"))},{default:r(()=>[(u(),B(Q(o.closeIcon||e(F))))]),_:1},8,["class"])],10,ke)):N("v-if",!0)],2),R("div",{id:e(v),class:t([e(s).e("body"),o.bodyClass])},[i(n.$slots,"default")],10,Re),n.$slots.footer?(u(),A("footer",{key:0,class:t([e(s).e("footer"),o.footerClass])},[i(n.$slots,"footer")],2)):N("v-if",!0)],6))}}),Ee=$e;const Fe=["aria-label","aria-labelledby","aria-describedby"];var De=L({name:"ElDialog",inheritAttrs:!1,__name:"dialog",props:ye,emits:be,setup(o,{expose:f}){const g=o,F=ee();de({scope:"el-dialog",from:"the title slot",replacement:"the header slot",version:"3.0.0",ref:"https://element-plus.org/en-US/component/dialog.html#slots"},E(()=>!!F.title));const a=oe("dialog"),m=M(),y=M(),v=M(),{visible:s,titleId:C,bodyId:h,style:D,overlayDialogStyle:p,rendered:w,transitionConfig:I,zIndex:P,_draggable:T,_alignCenter:n,_overflow:k,penetrable:z,handleClose:S,onModalClick:V,onOpenAutoFocus:U,onCloseAutoFocus:Y,onCloseRequested:J,onFocusoutPrevented:W,bringToFront:X,closing:Z}=Ce(g,m);re(j,{dialogRef:m,headerRef:y,bodyId:h,ns:a,rendered:w,style:D});const d=ue(V);return f({visible:s,dialogContentRef:v,resetPosition:()=>{var l;(l=v.value)==null||l.resetPosition()},handleClose:S}),(l,c)=>(u(),B(ne,{to:o.appendTo,disabled:o.appendTo!=="body"?!1:!o.appendToBody},[$(te,K(e(I),{persisted:""}),{default:r(()=>[se($(e(ce),{"custom-mask-event":"",mask:o.modal,"overlay-class":[o.modalClass??"",`${e(a).namespace.value}-modal-dialog`,e(a).is("penetrable",e(z))],"z-index":e(P)},{default:r(()=>[R("div",{role:"dialog","aria-modal":"true","aria-label":o.title||void 0,"aria-labelledby":o.title?void 0:e(C),"aria-describedby":e(h),class:t([`${e(a).namespace.value}-overlay-dialog`,e(a).is("closing",e(Z))]),style:O(e(p)),onClick:c[0]||(c[0]=(...b)=>e(d).onClick&&e(d).onClick(...b)),onMousedown:c[1]||(c[1]=(...b)=>e(d).onMousedown&&e(d).onMousedown(...b)),onMouseup:c[2]||(c[2]=(...b)=>e(d).onMouseup&&e(d).onMouseup(...b))},[$(e(ge),{loop:"",trapped:e(s),"focus-start-el":"container",onFocusAfterTrapped:e(U),onFocusAfterReleased:e(Y),onFocusoutPrevented:e(W),onReleaseRequested:e(J)},{default:r(()=>[e(w)?(u(),B(Ee,K({key:0,ref_key:"dialogContentRef",ref:v},l.$attrs,{center:o.center,"align-center":e(n),"close-icon":o.closeIcon,draggable:e(T),overflow:e(k),fullscreen:o.fullscreen,"header-class":o.headerClass,"body-class":o.bodyClass,"footer-class":o.footerClass,"show-close":o.showClose,title:o.title,"aria-level":o.headerAriaLevel,onClose:e(S),onMousedown:e(X)}),ae({header:r(()=>[l.$slots.title?i(l.$slots,"title",{key:1}):i(l.$slots,"header",{key:0,close:e(S),titleId:e(C),titleClass:e(a).e("title")})]),default:r(()=>[i(l.$slots,"default")]),_:2},[l.$slots.footer?{name:"footer",fn:r(()=>[i(l.$slots,"footer")]),key:"0"}:void 0]),1040,["center","align-center","close-icon","draggable","overflow","fullscreen","header-class","body-class","footer-class","show-close","title","aria-level","onClose","onMousedown"])):N("v-if",!0)]),_:3},8,["trapped","onFocusAfterTrapped","onFocusAfterReleased","onFocusoutPrevented","onReleaseRequested"])],46,Fe)]),_:3},8,["mask","overlay-class","z-index"]),[[le,e(s)]])]),_:3},16)],8,["to","disabled"]))}}),Ie=De;const ze=ie(Ie);export{ze as E,pe as c};
+import{d as L,aW as G,B as q,o as u,c as A,q as R,h as i,n as t,f as e,aa as H,s as $,w as r,e as B,r as Q,bE as x,E as _,g as N,al as O,j as E,bF as ee,a as oe,K as se,Y as K,aX as ae,L as le,Z as te,bg as ne,y as M,F as re,l as ie}from"./index-CGB0A5x_.js";import{u as de}from"./index-CCavIuTY.js";import{E as ce,a as ue}from"./index-C5EKbiob.js";import{F as fe,f as ge}from"./index-BPwPlcbL.js";import{d as me,a as ve,b as j,c as be,e as ye,u as Ce}from"./use-dialog-C7BHP2NJ.js";import{u as he}from"./index-Coa9QRND.js";const pe=(...o)=>f=>{o.forEach(g=>{g.value=f})},we=["aria-level"],ke=["aria-label"],Re=["id"];var $e=L({name:"ElDialogContent",__name:"dialog-content",props:ve,emits:me,setup(o,{expose:f}){const{t:g}=G(),{Close:F}=x,a=o,{dialogRef:m,headerRef:y,bodyId:v,ns:s,style:C}=q(j),{focusTrapRef:h}=q(fe),D=pe(h,m),p=E(()=>!!a.draggable),{resetPosition:w,updatePosition:I,isDragging:P}=he(m,y,p,E(()=>!!a.overflow)),T=E(()=>[s.b(),s.is("fullscreen",a.fullscreen),s.is("draggable",p.value),s.is("dragging",P.value),s.is("align-center",!!a.alignCenter),{[s.m("center")]:a.center}]);return f({resetPosition:w,updatePosition:I}),(n,k)=>(u(),A("div",{ref:e(D),class:t(T.value),style:O(e(C)),tabindex:"-1"},[R("header",{ref_key:"headerRef",ref:y,class:t([e(s).e("header"),o.headerClass,{"show-close":o.showClose}])},[i(n.$slots,"header",{},()=>[R("span",{role:"heading","aria-level":o.ariaLevel,class:t(e(s).e("title"))},H(o.title),11,we)]),o.showClose?(u(),A("button",{key:0,"aria-label":e(g)("el.dialog.close"),class:t(e(s).e("headerbtn")),type:"button",onClick:k[0]||(k[0]=z=>n.$emit("close"))},[$(e(_),{class:t(e(s).e("close"))},{default:r(()=>[(u(),B(Q(o.closeIcon||e(F))))]),_:1},8,["class"])],10,ke)):N("v-if",!0)],2),R("div",{id:e(v),class:t([e(s).e("body"),o.bodyClass])},[i(n.$slots,"default")],10,Re),n.$slots.footer?(u(),A("footer",{key:0,class:t([e(s).e("footer"),o.footerClass])},[i(n.$slots,"footer")],2)):N("v-if",!0)],6))}}),Ee=$e;const Fe=["aria-label","aria-labelledby","aria-describedby"];var De=L({name:"ElDialog",inheritAttrs:!1,__name:"dialog",props:ye,emits:be,setup(o,{expose:f}){const g=o,F=ee();de({scope:"el-dialog",from:"the title slot",replacement:"the header slot",version:"3.0.0",ref:"https://element-plus.org/en-US/component/dialog.html#slots"},E(()=>!!F.title));const a=oe("dialog"),m=M(),y=M(),v=M(),{visible:s,titleId:C,bodyId:h,style:D,overlayDialogStyle:p,rendered:w,transitionConfig:I,zIndex:P,_draggable:T,_alignCenter:n,_overflow:k,penetrable:z,handleClose:S,onModalClick:V,onOpenAutoFocus:U,onCloseAutoFocus:Y,onCloseRequested:J,onFocusoutPrevented:W,bringToFront:X,closing:Z}=Ce(g,m);re(j,{dialogRef:m,headerRef:y,bodyId:h,ns:a,rendered:w,style:D});const d=ue(V);return f({visible:s,dialogContentRef:v,resetPosition:()=>{var l;(l=v.value)==null||l.resetPosition()},handleClose:S}),(l,c)=>(u(),B(ne,{to:o.appendTo,disabled:o.appendTo!=="body"?!1:!o.appendToBody},[$(te,K(e(I),{persisted:""}),{default:r(()=>[se($(e(ce),{"custom-mask-event":"",mask:o.modal,"overlay-class":[o.modalClass??"",`${e(a).namespace.value}-modal-dialog`,e(a).is("penetrable",e(z))],"z-index":e(P)},{default:r(()=>[R("div",{role:"dialog","aria-modal":"true","aria-label":o.title||void 0,"aria-labelledby":o.title?void 0:e(C),"aria-describedby":e(h),class:t([`${e(a).namespace.value}-overlay-dialog`,e(a).is("closing",e(Z))]),style:O(e(p)),onClick:c[0]||(c[0]=(...b)=>e(d).onClick&&e(d).onClick(...b)),onMousedown:c[1]||(c[1]=(...b)=>e(d).onMousedown&&e(d).onMousedown(...b)),onMouseup:c[2]||(c[2]=(...b)=>e(d).onMouseup&&e(d).onMouseup(...b))},[$(e(ge),{loop:"",trapped:e(s),"focus-start-el":"container",onFocusAfterTrapped:e(U),onFocusAfterReleased:e(Y),onFocusoutPrevented:e(W),onReleaseRequested:e(J)},{default:r(()=>[e(w)?(u(),B(Ee,K({key:0,ref_key:"dialogContentRef",ref:v},l.$attrs,{center:o.center,"align-center":e(n),"close-icon":o.closeIcon,draggable:e(T),overflow:e(k),fullscreen:o.fullscreen,"header-class":o.headerClass,"body-class":o.bodyClass,"footer-class":o.footerClass,"show-close":o.showClose,title:o.title,"aria-level":o.headerAriaLevel,onClose:e(S),onMousedown:e(X)}),ae({header:r(()=>[l.$slots.title?i(l.$slots,"title",{key:1}):i(l.$slots,"header",{key:0,close:e(S),titleId:e(C),titleClass:e(a).e("title")})]),default:r(()=>[i(l.$slots,"default")]),_:2},[l.$slots.footer?{name:"footer",fn:r(()=>[i(l.$slots,"footer")]),key:"0"}:void 0]),1040,["center","align-center","close-icon","draggable","overflow","fullscreen","header-class","body-class","footer-class","show-close","title","aria-level","onClose","onMousedown"])):N("v-if",!0)]),_:3},8,["trapped","onFocusAfterTrapped","onFocusAfterReleased","onFocusoutPrevented","onReleaseRequested"])],46,Fe)]),_:3},8,["mask","overlay-class","z-index"]),[[le,e(s)]])]),_:3},16)],8,["to","disabled"]))}}),Ie=De;const ze=ie(Ie);export{ze as E,pe as c};

frontend/dist/assets/el-divider-DF2VMDw-.js

@@ -1 +1 @@
-import{b as d,R as c,d as u,a as v,o as s,c as i,n as o,f as r,h as p,g as f,al as m,j as y,l as S}from"./index-C8bRaOsd.js";const b=d({direction:{type:String,values:["horizontal","vertical"],default:"horizontal"},contentPosition:{type:String,values:["left","center","right"],default:"center"},borderStyle:{type:c(String),default:"solid"}});var g=u({name:"ElDivider",__name:"divider",props:b,setup(t){const l=t,e=v("divider"),n=y(()=>e.cssVar({"border-style":l.borderStyle}));return(a,P)=>(s(),i("div",{class:o([r(e).b(),r(e).m(t.direction)]),style:m(n.value),role:"separator"},[a.$slots.default&&t.direction!=="vertical"?(s(),i("div",{key:0,class:o([r(e).e("text"),r(e).is(t.contentPosition)])},[p(a.$slots,"default")],2)):f("v-if",!0)],6))}}),h=g;const z=S(h);export{z as E};
+import{b as d,R as c,d as u,a as v,o as s,c as i,n as o,f as r,h as p,g as f,al as m,j as y,l as S}from"./index-CGB0A5x_.js";const b=d({direction:{type:String,values:["horizontal","vertical"],default:"horizontal"},contentPosition:{type:String,values:["left","center","right"],default:"center"},borderStyle:{type:c(String),default:"solid"}});var g=u({name:"ElDivider",__name:"divider",props:b,setup(t){const l=t,e=v("divider"),n=y(()=>e.cssVar({"border-style":l.borderStyle}));return(a,P)=>(s(),i("div",{class:o([r(e).b(),r(e).m(t.direction)]),style:m(n.value),role:"separator"},[a.$slots.default&&t.direction!=="vertical"?(s(),i("div",{key:0,class:o([r(e).e("text"),r(e).is(t.contentPosition)])},[p(a.$slots,"default")],2)):f("v-if",!0)],6))}}),h=g;const z=S(h);export{z as E};

frontend/dist/assets/el-empty-CRWMJMaA.js

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frontend/dist/assets/el-progress-Wh76Cs6O.js

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+import{b as A,R as y,d as M,a as V,o as l,c as d,n as i,f as s,q as p,al as f,h as B,aa as N,g as P,e as D,w as O,r as R,E as j,j as o,cZ as q,a$ as J,bQ as Q,b0 as U,b1 as Z,b8 as G,J as I,l as H}from"./index-CGB0A5x_.js";const K=A({type:{type:String,default:"line",values:["line","circle","dashboard"]},percentage:{type:Number,default:0,validator:e=>e>=0&&e<=100},status:{type:String,default:"",values:["","success","exception","warning"]},indeterminate:Boolean,duration:{type:Number,default:3},strokeWidth:{type:Number,default:6},strokeLinecap:{type:y(String),default:"round"},textInside:Boolean,width:{type:Number,default:126},showText:{type:Boolean,default:!0},color:{type:y([String,Array,Function]),default:""},striped:Boolean,stripedFlow:Boolean,format:{type:y(Function),default:e=>`${e}%`}}),X=["aria-valuenow"],Y={viewBox:"0 0 100 100"},_=["d","stroke","stroke-linecap","stroke-width"],ee=["d","stroke","opacity","stroke-linecap","stroke-width"],te={key:0};var ae=M({name:"ElProgress",__name:"progress",props:K,setup(e){const k={success:"#13ce66",exception:"#ff4949",warning:"#e6a23c",default:"#20a0ff"},a=e,r=V("progress"),T=o(()=>{const t={width:`${a.percentage}%`,animationDuration:`${a.duration}s`},n=x(a.percentage);return n.includes("gradient")?t.background=n:t.backgroundColor=n,t}),v=o(()=>(a.strokeWidth/a.width*100).toFixed(1)),b=o(()=>["circle","dashboard"].includes(a.type)?Number.parseInt(`${50-Number.parseFloat(v.value)/2}`,10):0),m=o(()=>{const t=b.value,n=a.type==="dashboard";return`
           M 50 50
           m 0 ${n?"":"-"}${t}
           a ${t} ${t} 0 1 1 0 ${n?"-":""}${t*2}

frontend/dist/assets/el-space-CQL1mGfC.js

@@ -1 +1 @@
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frontend/dist/assets/el-tag-C_D80BPW.js

@@ -1 +1 @@
-import{b as M,aj as N,d as V,aW as $,a as j,o as i,c as u,q as m,h as k,n as o,f as t,aL as h,s as r,w as d,b1 as C,E as v,g as E,al as S,e as I,Z as L,j as P,l as q}from"./index-C8bRaOsd.js";import{e as x}from"./index-B2Z3XS2S.js";const F=M({type:{type:String,values:["primary","success","info","warning","danger"],default:"primary"},closable:Boolean,disableTransitions:Boolean,hit:Boolean,color:String,size:{type:String,values:N},effect:{type:String,values:["dark","light","plain"],default:"light"},round:Boolean}),K={close:s=>s instanceof MouseEvent,click:s=>s instanceof MouseEvent},W=["aria-label"],Z=["aria-label"];var A=V({name:"ElTag",__name:"tag",props:F,emits:K,setup(s,{emit:_}){const B=s,p=_,z=x(),{t:f}=$(),a=j("tag"),b=P(()=>{const{type:e,hit:l,effect:n,closable:c,round:w}=B;return[a.b(),a.is("closable",c),a.m(e||"primary"),a.m(z.value),a.m(n),a.is("hit",l),a.is("round",w)]}),g=e=>{p("close",e)},y=e=>{p("click",e)},T=e=>{var l,n,c;(c=(n=(l=e==null?void 0:e.component)==null?void 0:l.subTree)==null?void 0:n.component)!=null&&c.bum&&(e.component.subTree.component.bum=null)};return(e,l)=>s.disableTransitions?(i(),u("span",{key:0,class:o(b.value),style:S({backgroundColor:s.color}),onClick:y},[m("span",{class:o(t(a).e("content"))},[k(e.$slots,"default")],2),s.closable?(i(),u("button",{key:0,"aria-label":t(f)("el.tag.close"),class:o(t(a).e("close")),type:"button",onClick:h(g,["stop"])},[r(t(v),null,{default:d(()=>[r(t(C))]),_:1})],10,W)):E("v-if",!0)],6)):(i(),I(L,{key:1,name:`${t(a).namespace.value}-zoom-in-center`,appear:"",onVnodeMounted:T},{default:d(()=>[m("span",{class:o(b.value),style:S({backgroundColor:s.color}),onClick:y},[m("span",{class:o(t(a).e("content"))},[k(e.$slots,"default")],2),s.closable?(i(),u("button",{key:0,"aria-label":t(f)("el.tag.close"),class:o(t(a).e("close")),type:"button",onClick:h(g,["stop"])},[r(t(v),null,{default:d(()=>[r(t(C))]),_:1})],10,Z)):E("v-if",!0)],6)]),_:3},8,["name"]))}}),D=A;const J=q(D);export{J as E,F as t};
+import{b as M,aj as N,d as V,aW as $,a as j,o as i,c as u,q as m,h as k,n as o,f as t,aL as h,s as r,w as d,b1 as C,E as v,g as E,al as S,e as I,Z as L,j as P,l as q}from"./index-CGB0A5x_.js";import{e as x}from"./index-CCavIuTY.js";const F=M({type:{type:String,values:["primary","success","info","warning","danger"],default:"primary"},closable:Boolean,disableTransitions:Boolean,hit:Boolean,color:String,size:{type:String,values:N},effect:{type:String,values:["dark","light","plain"],default:"light"},round:Boolean}),K={close:s=>s instanceof MouseEvent,click:s=>s instanceof MouseEvent},W=["aria-label"],Z=["aria-label"];var A=V({name:"ElTag",__name:"tag",props:F,emits:K,setup(s,{emit:_}){const B=s,p=_,z=x(),{t:f}=$(),a=j("tag"),b=P(()=>{const{type:e,hit:l,effect:n,closable:c,round:w}=B;return[a.b(),a.is("closable",c),a.m(e||"primary"),a.m(z.value),a.m(n),a.is("hit",l),a.is("round",w)]}),g=e=>{p("close",e)},y=e=>{p("click",e)},T=e=>{var l,n,c;(c=(n=(l=e==null?void 0:e.component)==null?void 0:l.subTree)==null?void 0:n.component)!=null&&c.bum&&(e.component.subTree.component.bum=null)};return(e,l)=>s.disableTransitions?(i(),u("span",{key:0,class:o(b.value),style:S({backgroundColor:s.color}),onClick:y},[m("span",{class:o(t(a).e("content"))},[k(e.$slots,"default")],2),s.closable?(i(),u("button",{key:0,"aria-label":t(f)("el.tag.close"),class:o(t(a).e("close")),type:"button",onClick:h(g,["stop"])},[r(t(v),null,{default:d(()=>[r(t(C))]),_:1})],10,W)):E("v-if",!0)],6)):(i(),I(L,{key:1,name:`${t(a).namespace.value}-zoom-in-center`,appear:"",onVnodeMounted:T},{default:d(()=>[m("span",{class:o(b.value),style:S({backgroundColor:s.color}),onClick:y},[m("span",{class:o(t(a).e("content"))},[k(e.$slots,"default")],2),s.closable?(i(),u("button",{key:0,"aria-label":t(f)("el.tag.close"),class:o(t(a).e("close")),type:"button",onClick:h(g,["stop"])},[r(t(v),null,{default:d(()=>[r(t(C))]),_:1})],10,Z)):E("v-if",!0)],6)]),_:3},8,["name"]))}}),D=A;const J=q(D);export{J as E,F as t};

frontend/dist/assets/eval-CNlv4GHr.js

@@ -1 +1 @@
-import{aF as s,aG as e,aH as o,aI as n}from"./index-C8bRaOsd.js";const l=()=>s("/model-eval"),m=a=>s(`/model-eval/${a}`),d=a=>n(`/model-eval/${a}`),c=a=>e("/model-eval/start",a),v=a=>s(`/dimension/${a}`),r=a=>e("/dimension",a),g=(a,t)=>o(`/dimension/${a}`,t);export{m as a,v as b,r as c,d,l as g,c as s,g as u};
+import{aF as s,aG as e,aH as o,aI as n}from"./index-CGB0A5x_.js";const l=()=>s("/model-eval"),m=a=>s(`/model-eval/${a}`),d=a=>n(`/model-eval/${a}`),c=a=>e("/model-eval/start",a),v=a=>s(`/dimension/${a}`),r=a=>e("/dimension",a),g=(a,t)=>o(`/dimension/${a}`,t);export{m as a,v as b,r as c,d,l as g,c as s,g as u};

frontend/dist/assets/fineTune-CBUvPL6l.js

@@ -1 +1 @@
-import{aF as n,aG as t,aH as i,aI as a}from"./index-C8bRaOsd.js";const o=()=>n("/fine-tune"),c=e=>n(`/fine-tune/${e}`),f=e=>n("/fine-tune/check-name",{name:e}),g=e=>t("/fine-tune",e),F=e=>t("/fine-tune/start",e),r=e=>t("/fine-tune/preflight",e),T=e=>n(`/fine-tune/${e}/diagnostics`),p=(e,s)=>i(`/fine-tune/${e}`,s),$=e=>t(`/fine-tune/stop/${e}`),d=e=>a(`/fine-tune/${e}`),h=e=>n(`/fine-tune/progress/${e}`),l=(e,s={})=>n(`/fine-tune/${e}/logs`,s);export{h as a,c as b,f as c,d,g as e,F as f,o as g,l as h,T as i,r as p,$ as s,p as u};
+import{aF as n,aG as t,aH as i,aI as a}from"./index-CGB0A5x_.js";const o=()=>n("/fine-tune"),c=e=>n(`/fine-tune/${e}`),f=e=>n("/fine-tune/check-name",{name:e}),g=e=>t("/fine-tune",e),F=e=>t("/fine-tune/start",e),r=e=>t("/fine-tune/preflight",e),T=e=>n(`/fine-tune/${e}/diagnostics`),p=(e,s)=>i(`/fine-tune/${e}`,s),$=e=>t(`/fine-tune/stop/${e}`),d=e=>a(`/fine-tune/${e}`),h=e=>n(`/fine-tune/progress/${e}`),l=(e,s={})=>n(`/fine-tune/${e}/logs`,s);export{h as a,c as b,f as c,d,g as e,F as f,o as g,l as h,T as i,r as p,$ as s,p as u};