20260126

backend/app/routers/etl.py

@@ -123,22 +123,19 @@ def import_data(request: ImportRequest, db: Session = Depends(get_db)):
         print(f"[ETL Import] Starting import: file_type={file_info['file_type']}, rows={len(df)}")
 
         file_type = file_info['file_type']
-        imported_count = 0
         seen_ids = set()  # 追蹤已處理的 ID，避免檔案內重複
+        records_to_insert = []
+        imported_count = 0
 
         # 清除該類型的舊資料，避免重複鍵衝突
         try:
             if file_type == 'dit':
                 print("[ETL Import] Clearing old DIT records and dependent matches/logs...")
-                # 先清除與 DIT 相關的審核日誌與比對結果
                 db.query(ReviewLog).delete()
                 db.query(MatchResult).delete() 
                 db.query(DitRecord).delete()
             elif file_type == 'sample':
                 print("[ETL Import] Clearing old Sample records and dependent matches/logs...")
-                # 先清除與 Sample 相關的比對結果 (及其日誌)
-                # 這裡比較複雜，因為 ReviewLog 是透過 MatchResult 關聯的
-                # 但既然我們是清空整個類別，直接清空所有 ReviewLog 和對應的 MatchResult 是最安全的
                 db.query(ReviewLog).delete()
                 db.query(MatchResult).filter(MatchResult.target_type == TargetType.SAMPLE).delete()
                 db.query(SampleRecord).delete()
@@ -147,13 +144,16 @@ def import_data(request: ImportRequest, db: Session = Depends(get_db)):
                 db.query(ReviewLog).delete()
                 db.query(MatchResult).filter(MatchResult.target_type == TargetType.ORDER).delete()
                 db.query(OrderRecord).delete()
-            db.flush()  # 使用 flush 而非 commit，保持在同一個事務中
+            db.flush()
             print("[ETL Import] Old data cleared successfully.")
         except Exception as e:
             db.rollback()
             print(f"[ETL Import] Error clearing old data: {traceback.format_exc()}")
             raise HTTPException(status_code=500, detail=f"Failed to clear old data: {str(e)}")
 
+        print("[ETL Import] Preparing records...")
+        
+        # 使用 List 收集所有物件，再批次寫入
         for idx, row in df.iterrows():
             try:
                 if file_type == 'dit':
@@ -162,17 +162,14 @@ def import_data(request: ImportRequest, db: Session = Depends(get_db)):
                     customer = clean_value(row.get('customer'))
                     pn = clean_value(row.get('pn'))
                     
-                    # Skip empty PN as per user request
-                    if not pn:
-                        continue
+                    if not pn: continue
 
-                    # Deduplicate by OP ID + PN
                     unique_key = f"{op_id}|{pn}"
                     if not op_id or unique_key in seen_ids:
                         continue
                     seen_ids.add(unique_key)
                     
-                    record = DitRecord(
+                    records_to_insert.append(DitRecord(
                         op_id=op_id,
                         op_name=clean_value(row.get('op_name')),
                         erp_account=erp_account,
@@ -182,61 +179,48 @@ def import_data(request: ImportRequest, db: Session = Depends(get_db)):
                         eau=int(row.get('eau', 0)) if row.get('eau') and not pd.isna(row.get('eau')) else 0,
                         stage=clean_value(row.get('stage')),
                         date=normalize_date(row.get('date'))
-                    )
+                    ))
                 elif file_type == 'sample':
                     sample_id = clean_value(row.get('sample_id'), f'S{idx}')
-                    oppy_no = clean_value(row.get('oppy_no'), '')
-                    cust_id = clean_value(row.get('cust_id'), '')
+                    # ... other fields
                     customer = clean_value(row.get('customer'))
                     pn = clean_value(row.get('pn'))
-                    order_no = clean_value(row.get('order_no'))
                     
-                    # Skip empty PN
-                    if not pn:
-                        continue
-
-                    # Deduplicate by Sample ID only
-                    # We rely on auto-generated unique IDs if sample_id is missing from Excel mapping
-                    unique_key = sample_id
+                    if not pn: continue
 
                     if sample_id in seen_ids:
                         continue
-                        
                     seen_ids.add(sample_id)
 
-                    record = SampleRecord(
+                    records_to_insert.append(SampleRecord(
                         sample_id=sample_id,
-                        order_no=order_no,
-                        oppy_no=oppy_no,
-                        cust_id=cust_id,
+                        order_no=clean_value(row.get('order_no')),
+                        oppy_no=clean_value(row.get('oppy_no'), ''),
+                        cust_id=clean_value(row.get('cust_id'), ''),
                         customer=customer,
                         customer_normalized=normalize_customer_name(customer),
                         pn=sanitize_pn(pn),
                         qty=int(row.get('qty', 0)) if row.get('qty') and not pd.isna(row.get('qty')) else 0,
                         date=normalize_date(row.get('date'))
-                    )
+                    ))
                 elif file_type == 'order':
                     order_id = clean_value(row.get('order_id'), f'O{idx}')
-                    cust_id = clean_value(row.get('cust_id'), '')
-                    customer = clean_value(row.get('customer'))
-                    pn = clean_value(row.get('pn'))
                     order_no = clean_value(row.get('order_no'))
                     
-                    # Skip empty PN
-                    if not pn:
-                        continue
+                    customer = clean_value(row.get('customer'))
+                    pn = clean_value(row.get('pn'))
+
+                    if not pn: continue
 
-                    # Deduplicate by Order No + Order ID (Item No)
-                    # Item No (order_id) is not unique globally, only unique per order usually.
                     unique_key = f"{order_no}_{order_id}"
                     if unique_key in seen_ids:
                         continue
                     seen_ids.add(unique_key)
 
-                    record = OrderRecord(
+                    records_to_insert.append(OrderRecord(
                         order_id=order_id,
-                        order_no=clean_value(row.get('order_no')),
-                        cust_id=cust_id,
+                        order_no=order_no,
+                        cust_id=clean_value(row.get('cust_id'), ''),
                         customer=customer,
                         customer_normalized=normalize_customer_name(customer),
                         pn=sanitize_pn(pn),
@@ -244,20 +228,29 @@ def import_data(request: ImportRequest, db: Session = Depends(get_db)):
                         status=clean_value(row.get('status'), 'Backlog'),
                         amount=float(row.get('amount', 0)) if row.get('amount') and not pd.isna(row.get('amount')) else 0,
                         date=normalize_date(row.get('date'))
-                    )
-                else:
+                    ))
+
+                # 小批次處理，避免 list 過大 (雖 7萬筆還好，但習慣上分批)
+                if len(records_to_insert) >= 5000:
+                    db.bulk_save_objects(records_to_insert)
+                    imported_count += len(records_to_insert)
+                    records_to_insert = []
+                    print(f"[ETL Import] Bulk inserted {imported_count} rows...")
+
+            except Exception as e:
+                # 這裡若單行錯誤其實會導致該 batch 失敗，但 bulk_save 較難單行容錯。
+                # 為了效能，我們假設資料大致正確，若有錯則會在 parser 階段或這裡跳過
+                print(f"[ETL Import] Error creating record row {idx}: {e}")
                 continue
         
-                db.add(record)
-                imported_count += 1
-                if imported_count % 500 == 0:
-                    print(f"[ETL Import] Processed {imported_count} rows...")
-            except Exception as e:
-                print(f"[ETL Import] Error importing row {idx}: {e}")
-                continue
+        # Insert remaining
+        if records_to_insert:
+            db.bulk_save_objects(records_to_insert)
+            imported_count += len(records_to_insert)
+            print(f"[ETL Import] Bulk inserted remaining {len(records_to_insert)} rows.")
 
         try:
-            print(f"[ETL Import] Committing {imported_count} records...")
+            print(f"[ETL Import] Committing total {imported_count} records...")
             db.commit()
             print(f"[ETL Import] Import successful: {imported_count} records.")
         except Exception as e:

backend/app/routers/lab.py

@@ -18,6 +18,7 @@ class LabKPI(BaseModel):
     conversion_rate: float # 轉換比例 (%)
     orphan_count: int      # 孤兒樣品總數
     no_dit_count: int      # 未歸因大額樣品數
+    high_qty_no_order_count: int # 大額無單樣品數
 
 class ConversionRecord(BaseModel):
     customer: str
@@ -51,6 +52,15 @@ class NoDitSample(BaseModel):
     date: Optional[str]
     qty: int
 
+class HighQtyNoOrderSample(BaseModel):
+    sample_id: str
+    customer: str
+    pn: str
+    order_no: Optional[str]
+    date: Optional[str]
+    qty: int
+    days_since_sent: int
+
 
 def parse_date(date_val) -> Optional[datetime]:
     if not date_val:
@@ -59,6 +69,8 @@ def parse_date(date_val) -> Optional[datetime]:
         return date_val
     if isinstance(date_val, str):
         date_str = date_val.strip()
+        if date_str.endswith(".0"):
+             date_str = date_str[:-2]
         try:
             if "T" in date_str:
                 return datetime.fromisoformat(date_str.replace("Z", "+00:00"))
@@ -138,9 +150,22 @@ def find_matched_orders(s, order_lookup_by_id, order_lookup_by_name, orders_by_c
     return unique_candidates
 
 @router.get("/conversions", response_model=List[ConversionRecord])
-def get_conversions(db: Session = Depends(get_db)):
-    samples = db.query(SampleRecord).all()
-    orders = db.query(OrderRecord).all()
+def get_conversions(
+    start_date: Optional[str] = Query(None),
+    end_date: Optional[str] = Query(None),
+    db: Session = Depends(get_db)
+):
+    samples_query = db.query(SampleRecord)
+    orders_query = db.query(OrderRecord)
+
+    if start_date:
+        samples_query = samples_query.filter(SampleRecord.date >= start_date)
+        orders_query = orders_query.filter(OrderRecord.date >= start_date)
+    if end_date:
+        samples_query = samples_query.filter(SampleRecord.date <= end_date)
+
+    samples = samples_query.all()
+    orders = orders_query.all()
     
     # Build Lookups
     order_lookup_by_id = {}
@@ -225,10 +250,11 @@ def get_lab_kpi(
 
     if start_date:
         samples_query = samples_query.filter(SampleRecord.date >= start_date)
+        # Optimization: Only fetch orders that could possibly match these samples (Date >= Start Date)
         orders_query = orders_query.filter(OrderRecord.date >= start_date)
     if end_date:
         samples_query = samples_query.filter(SampleRecord.date <= end_date)
-        orders_query = orders_query.filter(OrderRecord.date <= end_date)
+        # Do NOT filter orders by end_date, to capture conversions that happen after the sample window
     
     samples = samples_query.all()
     orders = orders_query.all()
@@ -244,18 +270,25 @@ def get_lab_kpi(
         norm_cust_name = normalize_customer_name(o.customer)
         o_date = parse_date(o.date) or (o.created_at.replace(tzinfo=None) if o.created_at else datetime.max)
         
-        # We only need dates for KPI
+        # Standardized Data Object for compatibility with find_matched_orders
+        data_obj = { 
+            "clean_pn": clean_pn, 
+            "date": o_date,
+            "qty": o.qty or 0,
+            "order_no": o.order_no
+        }
+        
         if clean_cust_id:
             key_id = (clean_cust_id, clean_pn)
             if key_id not in order_lookup_by_id: order_lookup_by_id[key_id] = []
-            order_lookup_by_id[key_id].append(o_date)
+            order_lookup_by_id[key_id].append(data_obj)
 
         key_name = (norm_cust_name, clean_pn)
         if key_name not in order_lookup_by_name: order_lookup_by_name[key_name] = []
-        order_lookup_by_name[key_name].append(o_date)
+        order_lookup_by_name[key_name].append(data_obj)
         
         if norm_cust_name not in orders_by_cust_name: orders_by_cust_name[norm_cust_name] = []
-        orders_by_cust_name[norm_cust_name].append({ "clean_pn": clean_pn, "date": o_date })
+        orders_by_cust_name[norm_cust_name].append(data_obj)
 
     # Group Samples by (CustName, PN) for Project Count
     unique_sample_groups = {} 
@@ -286,32 +319,34 @@ def get_lab_kpi(
     for key, data in unique_sample_groups.items():
         norm_cust_name, group_clean_pn = key
         
-        matched_dates = []
+        matched_items = []
         
         # 1. Try ID Match
         for cid in data["cust_ids"]:
              if (cid, group_clean_pn) in order_lookup_by_id:
-                 matched_dates.extend(order_lookup_by_id[(cid, group_clean_pn)])
+                 matched_items.extend(order_lookup_by_id[(cid, group_clean_pn)])
                  
         # 2. Try Name Match
-        if not matched_dates:
+        if not matched_items:
              if key in order_lookup_by_name:
-                 matched_dates.extend(order_lookup_by_name[key])
+                 matched_items.extend(order_lookup_by_name[key])
         
         # 3. Try Prefix Match (Using first available PN in group vs Orders of same customer)
-        if not matched_dates and norm_cust_name in orders_by_cust_name:
+        if not matched_items and norm_cust_name in orders_by_cust_name:
              candidates = orders_by_cust_name[norm_cust_name]
              for o_dat in candidates:
                  o_pn = o_dat['clean_pn']
                  # Check against ANY PN in this sample group
                  for s_pn in data["raw_pns"]:
                      if o_pn and (s_pn.startswith(o_pn) or o_pn.startswith(s_pn)):
-                         matched_dates.append(o_dat["date"])
+                         matched_items.append(o_dat)
         
-        if matched_dates:
+        if matched_items:
             earliest_sample = min(data["dates"]) if data["dates"] else None
             
             # STRICT FILTER: Post-Sample Orders Only
+            # Extract dates from matched items
+            matched_dates = [item["date"] for item in matched_items]
             valid_dates = []
             if earliest_sample:
                  valid_dates = [d for d in matched_dates if d >= earliest_sample]
@@ -356,12 +391,51 @@ def get_lab_kpi(
         matched_ids_set = set(m[0] for m in matched_ids)
         no_dit_count = len([sid for sid in high_qty_ids if sid not in matched_ids_set])
 
+    # Calculate High Qty No Order Samples (Count)
+    # Using existing data structures if possible, or new query
+    # Criteria: Qty >= 1000 AND No Valid Post-Sample Order
+    # We can reuse the loop calculation or do it separately.
+    # Since we already iterated samples to find conversions, let's optimize.
+    # Actually, the conversion logic above iterates ALL samples.
+    # Let's add a flag in the main loop?
+    # Main loop iterates `unique_sample_groups`.
+    # But High Qty No Order is per SAMPLE, not per group necessarily?
+    # Actually, business logic wise, if one sample in a group led to order, does it count?
+    # "Single request quantity > 1000pcs". So it's per sample record.
+    # If that specific sample has no "attributed" order?
+    # The current conversion logic is Group-Based (Customer + PN).
+    # If a group has converted, then likely the samples in it are considered converted.
+    # BUT, strict definition: "Single sample > 1000".
+    # Let's iterate high_qty_samples again and check if they belong to a converted group?
+    # OR check if that sample specifically has a match?
+    # Our matching logic in `find_matched_orders` is per sample.
+    
+    high_qty_no_order_count = 0
+    # efficient check:
+    for s in high_qty_samples: # calculated above
+        # Check if this sample has valid orders.
+        # We need to run find_matched_orders for these samples.
+        # Ensure we have lookups built. They are built in `get_lab_kpi`.
+        
+        matched_orders = find_matched_orders(s, order_lookup_by_id, order_lookup_by_name, orders_by_cust_name)
+        s_date = parse_date(s.date)
+        is_converted = False
+        
+        if matched_orders and s_date:
+             valid_orders = [o for o in matched_orders if o["date"] >= s_date]
+             if valid_orders:
+                 is_converted = True
+        
+        if not is_converted:
+            high_qty_no_order_count += 1
+
     return LabKPI(
         converted_count=converted_count,
         avg_velocity=round(avg_velocity, 1),
         conversion_rate=round(conversion_rate, 1),
         orphan_count=orphan_count,
-        no_dit_count=no_dit_count
+        no_dit_count=no_dit_count,
+        high_qty_no_order_count=high_qty_no_order_count
     )
 
 @router.get("/scatter", response_model=List[ScatterPoint])
@@ -375,6 +449,7 @@ def get_scatter_data(
 
     if start_date:
         samples_query = samples_query.filter(SampleRecord.date >= start_date)
+        orders_query = orders_query.filter(OrderRecord.date >= start_date)
     if end_date:
         samples_query = samples_query.filter(SampleRecord.date <= end_date)
 
@@ -458,14 +533,27 @@ def get_scatter_data(
     ]
 
 @router.get("/orphans", response_model=List[OrphanSample])
-def get_orphans(db: Session = Depends(get_db)):
+def get_orphans(
+    start_date: Optional[str] = Query(None),
+    end_date: Optional[str] = Query(None),
+    db: Session = Depends(get_db)
+):
     now = datetime.now()
     threshold_date = now - timedelta(days=90)
     
-    samples = db.query(SampleRecord).all()
+    samples_query = db.query(SampleRecord)
+    if start_date:
+        samples_query = samples_query.filter(SampleRecord.date >= start_date)
+    if end_date:
+        samples_query = samples_query.filter(SampleRecord.date <= end_date)
+        
+    samples = samples_query.all()
     # Need to match logic check
     # To save time, we can fetch all orders and build lookup
-    orders = db.query(OrderRecord).all()
+    orders_query = db.query(OrderRecord)
+    if start_date:
+        orders_query = orders_query.filter(OrderRecord.date >= start_date)
+    orders = orders_query.all()
     
     # Build Lookup for Fast Checking
     orders_by_cust_name = {}
@@ -544,10 +632,15 @@ def get_orphans(db: Session = Depends(get_db)):
                 
     return sorted(orphans, key=lambda x: x.days_since_sent, reverse=True)
 
-@router.get("/no_dit_samples", response_model=List[NoDitSample])
-def get_no_dit_samples(db: Session = Depends(get_db)):
+def fetch_no_dit_samples(db: Session, start_date: Optional[str] = None, end_date: Optional[str] = None) -> List[NoDitSample]:
     # Filter High Qty Samples
-    high_qty_samples = db.query(SampleRecord).filter(SampleRecord.qty >= 1000).all()
+    query = db.query(SampleRecord).filter(SampleRecord.qty >= 1000)
+    if start_date:
+        query = query.filter(SampleRecord.date >= start_date)
+    if end_date:
+        query = query.filter(SampleRecord.date <= end_date)
+        
+    high_qty_samples = query.all()
     
     results = []
     # Batch query matches for efficiency
@@ -571,8 +664,99 @@ def get_no_dit_samples(db: Session = Depends(get_db)):
                 customer=s.customer,
                 pn=s.pn,
                 order_no=s.order_no,
-                date=s_date.strftime("%Y-%m-%d") if s_date else None,
+                date=s_date.strftime("%Y-%m-%d") if s_date else (s.date or ""),
                 qty=s.qty
             ))
             
     return sorted(results, key=lambda x: x.qty, reverse=True)
+
+@router.get("/no_dit_samples", response_model=List[NoDitSample])
+def get_no_dit_samples(
+    start_date: Optional[str] = Query(None),
+    end_date: Optional[str] = Query(None),
+    db: Session = Depends(get_db)
+):
+    return fetch_no_dit_samples(db, start_date, end_date)
+
+def fetch_high_qty_no_order_samples(db: Session, start_date: Optional[str] = None, end_date: Optional[str] = None) -> List[HighQtyNoOrderSample]:
+    # 1. Get High Qty Samples
+    query = db.query(SampleRecord).filter(SampleRecord.qty >= 1000)
+    if start_date:
+        query = query.filter(SampleRecord.date >= start_date)
+    if end_date:
+        query = query.filter(SampleRecord.date <= end_date)
+        
+    high_qty_samples = query.all()
+    if not high_qty_samples:
+        return []
+
+    # 2. Get All Orders for Matching
+    orders_query = db.query(OrderRecord)
+    if start_date:
+        orders_query = orders_query.filter(OrderRecord.date >= start_date)
+    orders = orders_query.all()
+    
+    # 3. Build Lookup (Same logic as kpi/conversions)
+    order_lookup_by_id = {}
+    order_lookup_by_name = {}
+    orders_by_cust_name = {}
+
+    for o in orders:
+        clean_pn = normalize_pn_for_matching(o.pn)
+        clean_cust_id = o.cust_id.strip().upper() if o.cust_id else ""
+        norm_cust_name = normalize_customer_name(o.customer)
+        o_date = parse_date(o.date) or (o.created_at.replace(tzinfo=None) if o.created_at else datetime.max)
+        
+        data_obj = { 
+            "clean_pn": clean_pn, 
+            "date": o_date,
+            "qty": o.qty or 0,
+            "order_no": o.order_no
+        }
+
+        if clean_cust_id:
+            key_id = (clean_cust_id, clean_pn)
+            if key_id not in order_lookup_by_id: order_lookup_by_id[key_id] = []
+            order_lookup_by_id[key_id].append(data_obj)
+
+        key_name = (norm_cust_name, clean_pn)
+        if key_name not in order_lookup_by_name: order_lookup_by_name[key_name] = []
+        order_lookup_by_name[key_name].append(data_obj)
+        
+        if norm_cust_name not in orders_by_cust_name: orders_by_cust_name[norm_cust_name] = []
+        orders_by_cust_name[norm_cust_name].append(data_obj)
+
+    results = []
+    now = datetime.now()
+
+    for s in high_qty_samples:
+        matched_orders = find_matched_orders(s, order_lookup_by_id, order_lookup_by_name, orders_by_cust_name)
+        s_date = parse_date(s.date)
+        is_converted = False
+        
+        if matched_orders and s_date:
+             valid_orders = [o for o in matched_orders if o["date"] >= s_date]
+             if valid_orders:
+                 is_converted = True
+        
+        if not is_converted:
+            days_since = (now - s_date).days if s_date else 0
+            results.append(HighQtyNoOrderSample(
+                sample_id=str(s.id),
+                customer=s.customer,
+                pn=s.pn,
+                order_no=s.order_no,
+                date=s_date.strftime("%Y-%m-%d") if s_date else (s.date or ""),
+                qty=s.qty,
+                days_since_sent=days_since
+            ))
+    
+    return sorted(results, key=lambda x: x.qty, reverse=True)
+
+@router.get("/high_qty_no_order_samples", response_model=List[HighQtyNoOrderSample])
+def get_high_qty_no_order_samples(
+    start_date: Optional[str] = Query(None),
+    end_date: Optional[str] = Query(None),
+    db: Session = Depends(get_db)
+):
+    return fetch_high_qty_no_order_samples(db, start_date, end_date)

backend/app/services/report_generator.py

@@ -14,6 +14,7 @@ from app.models.dit import DitRecord
 from app.models.sample import SampleRecord
 from app.models.order import OrderRecord
 from app.models.match import MatchResult, MatchStatus, TargetType
+from app.routers.lab import fetch_no_dit_samples, fetch_high_qty_no_order_samples
 
 class ReportGenerator:
     def __init__(self, db: Session):
@@ -127,6 +128,55 @@ class ReportGenerator:
         orders_received = [row for row in all_data if row['order_no']]
         create_sheet("取得訂單", orders_received)
 
+        # 4. 未歸因大額樣品 (New)
+        no_dit_samples = fetch_no_dit_samples(self.db)
+        if no_dit_samples:
+             ws = wb.create_sheet(title="未歸因大額樣品")
+             # Header
+             sub_headers = ['樣品單號', '客戶名稱', '料號', '送樣日期', '數量', '建議']
+             for col, header in enumerate(sub_headers, 1):
+                 cell = ws.cell(row=1, column=col, value=header)
+                 cell.font = header_font
+                 cell.fill = header_fill
+                 
+             # Data
+             for row_idx, s in enumerate(no_dit_samples, 2):
+                 ws.cell(row=row_idx, column=1, value=s.order_no or s.sample_id)
+                 ws.cell(row=row_idx, column=2, value=s.customer)
+                 ws.cell(row=row_idx, column=3, value=s.pn)
+                 ws.cell(row=row_idx, column=4, value=s.date)
+                 ws.cell(row=row_idx, column=5, value=s.qty)
+                 ws.cell(row=row_idx, column=6, value="請檢查 DIT 歸因")
+                 
+             # Widths
+             ws.column_dimensions['B'].width = 30
+             ws.column_dimensions['C'].width = 20
+
+        # 5. 大額無單樣品 (New)
+        high_qty_no_order = fetch_high_qty_no_order_samples(self.db)
+        if high_qty_no_order:
+             ws = wb.create_sheet(title="大額無單樣品")
+             # Header
+             sub_headers = ['樣品單號', '客戶名稱', '料號', '送樣日期', '數量', '送樣天數', '狀態']
+             for col, header in enumerate(sub_headers, 1):
+                 cell = ws.cell(row=1, column=col, value=header)
+                 cell.font = header_font
+                 cell.fill = header_fill
+                 
+             # Data
+             for row_idx, s in enumerate(high_qty_no_order, 2):
+                 ws.cell(row=row_idx, column=1, value=s.order_no or s.sample_id)
+                 ws.cell(row=row_idx, column=2, value=s.customer)
+                 ws.cell(row=row_idx, column=3, value=s.pn)
+                 ws.cell(row=row_idx, column=4, value=s.date)
+                 ws.cell(row=row_idx, column=5, value=s.qty)
+                 ws.cell(row=row_idx, column=6, value=s.days_since_sent)
+                 ws.cell(row=row_idx, column=7, value="高投入無回報")
+
+             # Widths
+             ws.column_dimensions['B'].width = 30
+             ws.column_dimensions['C'].width = 20
+
         # 儲存到 BytesIO
         output = io.BytesIO()
         wb.save(output)

frontend/src/components/ImportView.tsx

@@ -40,6 +40,7 @@ export const ImportView: React.FC<ImportViewProps> = ({ onEtlComplete }) => {
       ...prev,
       [type]: { ...prev[type], file, loading: true }
     }));
+    setError(null);
 
     try {
       const parsed = await etlApi.upload(file, type);
@@ -47,12 +48,17 @@ export const ImportView: React.FC<ImportViewProps> = ({ onEtlComplete }) => {
         ...prev,
         [type]: { file, parsed, loading: false }
       }));
-    } catch (error) {
+    } catch (error: any) {
       console.error(`Error uploading ${type} file:`, error);
       setFiles(prev => ({
         ...prev,
-        [type]: { file: null, parsed: null, loading: false }
+        [type]: { ...prev[type], parsed: null, loading: false }
       }));
+
+      const msg = error.code === 'ECONNABORTED'
+        ? '上傳逾時，檔案可能過大，請稍後再試'
+        : (error.response?.data?.detail || error.message || '上傳失敗');
+      setError(msg);
     }
   };
 

frontend/src/components/LabView.tsx

@@ -9,7 +9,7 @@ import {
 } from 'lucide-react';
 import { Card } from './common/Card';
 import { labApi } from '../services/api';
-import type { LabKPI, ScatterPoint, OrphanSample, NoDitSample } from '../types';
+import type { LabKPI, ScatterPoint, OrphanSample, NoDitSample, HighQtyNoOrderSample } from '../types';
 
 export const LabView: React.FC = () => {
     const [kpi, setKpi] = useState<LabKPI>({
@@ -17,17 +17,19 @@ export const LabView: React.FC = () => {
         avg_velocity: 0,
         conversion_rate: 0,
         orphan_count: 0,
-        no_dit_count: 0
+        no_dit_count: 0,
+        high_qty_no_order_count: 0
     });
     const [scatterData, setScatterData] = useState<ScatterPoint[]>([]);
     const [orphans, setOrphans] = useState<OrphanSample[]>([]);
     const [noDitSamples, setNoDitSamples] = useState<NoDitSample[]>([]);
+    const [highQtyNoOrderSamples, setHighQtyNoOrderSamples] = useState<HighQtyNoOrderSample[]>([]);
     const [conversions, setConversions] = useState<any[]>([]);
     const [loading, setLoading] = useState(true);
     const [dateRange, setDateRange] = useState<'all' | '12m' | '6m' | '3m'>('all');
     const [useLogScale, setUseLogScale] = useState(false);
     const [copiedId, setCopiedId] = useState<number | null>(null);
-    const [viewMode, setViewMode] = useState<'orphans' | 'conversions' | 'no_dit'>('orphans');
+    const [viewMode, setViewMode] = useState<'orphans' | 'conversions' | 'no_dit' | 'high_qty_no_order'>('orphans');
 
     useEffect(() => {
         loadLabData();
@@ -48,18 +50,20 @@ export const LabView: React.FC = () => {
 
             const params = start_date ? { start_date } : {};
 
-            const [kpiData, scatterRes, orphanRes, noDitRes, conversionRes] = await Promise.all([
+            const [kpiData, scatterRes, orphanRes, noDitRes, highQtyNoOrderRes, conversionRes] = await Promise.all([
                 labApi.getKPI(params),
                 labApi.getScatter(params),
-                labApi.getOrphans(),
-                labApi.getNoDitSamples(),
-                labApi.getConversions()
+                labApi.getOrphans(params),
+                labApi.getNoDitSamples(params),
+                labApi.getHighQtyNoOrderSamples(params),
+                labApi.getConversions(params)
             ]);
 
             setKpi(kpiData);
             setScatterData(scatterRes);
             setOrphans(orphanRes);
             setNoDitSamples(noDitRes);
+            setHighQtyNoOrderSamples(highQtyNoOrderRes);
             setConversions(conversionRes);
         } catch (error) {
             console.error('Error loading lab data:', error);
@@ -125,7 +129,7 @@ export const LabView: React.FC = () => {
             </div>
 
             {/* KPI Cards */}
-            <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-5 gap-4">
+            <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-6 gap-4">
                 <Card
                     onClick={() => setViewMode('conversions')}
                     className={`p-4 border-b-4 border-b-blue-500 bg-gradient-to-br from-white to-blue-50/30 cursor-pointer transition-all hover:shadow-md ${viewMode === 'conversions' ? 'ring-2 ring-blue-500 ring-offset-2' : ''}`}
@@ -214,6 +218,25 @@ export const LabView: React.FC = () => {
                         </div>
                     </div>
                 </Card>
+
+                <Card
+                    onClick={() => setViewMode('high_qty_no_order')}
+                    className={`p-4 border-b-4 border-b-violet-500 bg-gradient-to-br from-white to-violet-50/30 cursor-pointer transition-all hover:shadow-md ${viewMode === 'high_qty_no_order' ? 'ring-2 ring-violet-500 ring-offset-2' : ''}`}
+                >
+                    <div className="flex justify-between items-start">
+                        <div>
+                            <div className="text-xs text-slate-500 font-medium mb-1">大額無單樣品</div>
+                            <div className="text-2xl font-bold text-violet-600">{kpi.high_qty_no_order_count} 筆</div>
+                            <div className="text-[10px] text-violet-600 mt-1 flex items-center gap-1 font-bold">
+                                <AlertTriangle size={10} />
+                                &gt; 1000 pcs (No Order)
+                            </div>
+                        </div>
+                        <div className="p-2 bg-violet-100 text-violet-600 rounded-lg">
+                            <AlertTriangle size={20} />
+                        </div>
+                    </div>
+                </Card>
             </div>
 
             <div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
@@ -347,8 +370,16 @@ export const LabView: React.FC = () => {
 
             {/* Dynamic Table Section */}
             <Card className="overflow-hidden">
-                <div className={`px-6 py-4 border-b flex justify-between items-center ${viewMode === 'conversions' ? 'bg-blue-50 border-blue-200' : viewMode === 'no_dit' ? 'bg-amber-50 border-amber-200' : 'bg-rose-50 border-rose-200'}`}>
-                    <h3 className={`font-bold flex items-center gap-2 ${viewMode === 'conversions' ? 'text-blue-700' : viewMode === 'no_dit' ? 'text-amber-700' : 'text-rose-700'}`}>
+                <div className={`px-6 py-4 border-b flex justify-between items-center ${viewMode === 'conversions' ? 'bg-blue-50 border-blue-200' :
+                    viewMode === 'no_dit' ? 'bg-amber-50 border-amber-200' :
+                        viewMode === 'high_qty_no_order' ? 'bg-violet-50 border-violet-200' :
+                            'bg-rose-50 border-rose-200'
+                    }`}>
+                    <h3 className={`font-bold flex items-center gap-2 ${viewMode === 'conversions' ? 'text-blue-700' :
+                        viewMode === 'no_dit' ? 'text-amber-700' :
+                            viewMode === 'high_qty_no_order' ? 'text-violet-700' :
+                                'text-rose-700'
+                        }`}>
                         {viewMode === 'conversions' ? (
                             <>
                                 <Check size={18} />
@@ -359,6 +390,11 @@ export const LabView: React.FC = () => {
                                 <HelpCircle size={18} />
                                 Unattributed High-Qty Samples
                             </>
+                        ) : viewMode === 'high_qty_no_order' ? (
+                            <>
+                                <AlertTriangle size={18} />
+                                High Quantity No-Order Samples
+                            </>
                         ) : (
                             <>
                                 <AlertTriangle size={18} />
@@ -375,6 +411,7 @@ export const LabView: React.FC = () => {
                         <div className="text-[10px] text-slate-400 font-medium">
                             {viewMode === 'conversions' ? `共 ${conversions.length} 筆成功轉換`
                                 : viewMode === 'no_dit' ? `共 ${noDitSamples.length} 筆未歸因大單`
+                                    : viewMode === 'high_qty_no_order' ? `共 ${highQtyNoOrderSamples.length} 筆大額無單`
                                         : `共 ${orphans.length} 筆待追蹤案件`}
                         </div>
                     </div>
@@ -399,6 +436,13 @@ export const LabView: React.FC = () => {
                                         <th className="px-6 py-3">送樣資訊 (Date/Qty)</th>
                                         <th className="px-6 py-3 text-center">建議行動</th>
                                     </>
+                                ) : viewMode === 'high_qty_no_order' ? (
+                                    <>
+                                        <th className="px-6 py-3">樣品單號</th>
+                                        <th className="px-6 py-3">送樣資訊 (Date/Qty)</th>
+                                        <th className="px-6 py-3 text-center">送樣天數</th>
+                                        <th className="px-6 py-3 text-center">狀態</th>
+                                    </>
                                 ) : (
                                     <>
                                         <th className="px-6 py-3">樣品單號</th>
@@ -457,6 +501,28 @@ export const LabView: React.FC = () => {
                                         </td>
                                     </tr>
                                 ))
+                            ) : viewMode === 'high_qty_no_order' ? (
+                                highQtyNoOrderSamples.map((row, i) => (
+                                    <tr key={i} className="hover:bg-violet-50/50">
+                                        <td className="px-6 py-4 font-medium text-slate-800">{row.customer}</td>
+                                        <td className="px-6 py-4 font-mono text-xs text-slate-600">{row.pn}</td>
+                                        <td className="px-6 py-4 font-mono text-xs text-slate-500">{row.order_no || '-'}</td>
+                                        <td className="px-6 py-4">
+                                            <div className="flex flex-col">
+                                                <span className="text-slate-500 text-xs">{row.date?.replace(/(\d{4})(\d{2})(\d{2})/, '$1/$2/$3')}</span>
+                                                <span className="font-bold text-violet-600">{row.qty?.toLocaleString()} pcs</span>
+                                            </div>
+                                        </td>
+                                        <td className="px-6 py-4 text-center">
+                                            <span className="font-bold text-slate-600">{row.days_since_sent} 天</span>
+                                        </td>
+                                        <td className="px-6 py-4 text-center">
+                                            <span className="inline-flex items-center px-2 py-1 rounded-full text-xs font-bold bg-violet-100 text-violet-700">
+                                                高投入無回報
+                                            </span>
+                                        </td>
+                                    </tr>
+                                ))
                             ) : (
                                 orphans.map((row, i) => {
                                     const groupKey = `${row.customer?.trim()?.toUpperCase()}|${row.pn?.trim()?.toUpperCase()}`;
@@ -529,6 +595,13 @@ export const LabView: React.FC = () => {
                                     </td>
                                 </tr>
                             )}
+                            {viewMode === 'high_qty_no_order' && highQtyNoOrderSamples.length === 0 && (
+                                <tr>
+                                    <td colSpan={6} className="px-6 py-10 text-center text-slate-400">
+                                        目前沒有 1000pcs 以上且未轉換成訂單的樣品。
+                                    </td>
+                                </tr>
+                            )}
                             {viewMode === 'no_dit' && noDitSamples.length === 0 && (
                                 <tr>
                                     <td colSpan={5} className="px-6 py-10 text-center text-slate-400">

frontend/src/services/api.ts

@@ -14,12 +14,13 @@ import type {
   ScatterPoint,
   OrphanSample,
   ConversionRecord,
-  NoDitSample
+  NoDitSample,
+  HighQtyNoOrderSample
 } from '../types';
 
 const api = axios.create({
   baseURL: '/api',
-  timeout: 15000,
+  timeout: 900000,
   headers: {
     'Content-Type': 'application/json',
   },
@@ -171,18 +172,23 @@ export const labApi = {
     return response.data;
   },
 
-  getOrphans: async (): Promise<OrphanSample[]> => {
-    const response = await api.get<OrphanSample[]>('/lab/orphans');
+  getOrphans: async (params?: { start_date?: string; end_date?: string }): Promise<OrphanSample[]> => {
+    const response = await api.get<OrphanSample[]>('/lab/orphans', { params });
     return response.data;
   },
 
-  getConversions: async (): Promise<ConversionRecord[]> => {
-    const response = await api.get<ConversionRecord[]>('/lab/conversions');
+  getConversions: async (params?: { start_date?: string; end_date?: string }): Promise<ConversionRecord[]> => {
+    const response = await api.get<ConversionRecord[]>('/lab/conversions', { params });
     return response.data;
   },
 
-  getNoDitSamples: async (): Promise<NoDitSample[]> => {
-    const response = await api.get<NoDitSample[]>('/lab/no_dit_samples');
+  getNoDitSamples: async (params?: { start_date?: string; end_date?: string }): Promise<NoDitSample[]> => {
+    const response = await api.get<NoDitSample[]>('/lab/no_dit_samples', { params });
+    return response.data;
+  },
+
+  getHighQtyNoOrderSamples: async (params?: { start_date?: string; end_date?: string }): Promise<HighQtyNoOrderSample[]> => {
+    const response = await api.get<HighQtyNoOrderSample[]>('/lab/high_qty_no_order_samples', { params });
     return response.data;
   },
 };

frontend/src/types/index.ts

@@ -123,6 +123,7 @@ export interface LabKPI {
   conversion_rate: number;
   orphan_count: number;
   no_dit_count: number;
+  high_qty_no_order_count: number;
 }
 
 export interface ScatterPoint {
@@ -150,6 +151,16 @@ export interface NoDitSample {
   qty: number;
 }
 
+export interface HighQtyNoOrderSample {
+  sample_id: string;
+  customer: string;
+  pn: string;
+  order_no: string;
+  date: string;
+  qty: number;
+  days_since_sent: number;
+}
+
 export interface ConversionRecord {
   customer: string;
   pn: string;