Code clean

desktop_env/evaluators/metrics/docs.py

@@ -284,18 +284,6 @@ def compare_contains_image(docx_file1, docx_file2):
     return 1
 
 
-# file1 = 'path/to/file1.docx'
-# file2 = 'path/to/file2.docx'
-
-# print(are_docx_files_same(file1, file2))
-# Replace 'your_document.docx' with the path to your document
-# result = contains_page_break('your_document.docx')
-# print(result)
-
-# config_path = "/home/[username]/.config/libreoffice/4/user/registrymodifications.xcu"
-# print(find_default_font("Ani", config_path))
-
-
 def evaluate_colored_words_in_tables(file_path1, file_path2, **kwargs):
     if not compare_docx_files(file_path1, file_path2):
         return 0
@@ -538,12 +526,3 @@ def compare_highlighted_text(file1, file2):
         return 1
     else:
         return 0
-
-if __name__ == '__main__':
-    print(
-        compare_docx_files(
-            r"C:\Users\tianbaox\Desktop\DesktopEnv\cache\88fe4b2d-3040-4c70-9a70-546a47764b48\CCCH9003_Tutorial_guidelines.docx",
-            r"C:\Users\tianbaox\Desktop\DesktopEnv\cache\88fe4b2d-3040-4c70-9a70-546a47764b48\CCCH9003_Tutorial_guidelines_Gold.docx",
-            ignore_blanks=False
-        )
-    )

desktop_env/evaluators/metrics/utils.py

@@ -1,46 +1,47 @@
+import builtins
+import functools
+import itertools
 import logging
+import operator
+import re
 import zipfile
 from typing import Any, TypeVar, Union, Iterable, Optional, Callable
 from typing import Dict, List, Set, Match, Tuple, Pattern
 from urllib.parse import urlparse, urlunparse
-import re
-import functools
-import operator
-import builtins
-import itertools
 
+import formulas
 import lxml.cssselect
 import lxml.etree
-import openpyxl
 import xmltodict
 from lxml.etree import _Element
 from openpyxl import Workbook
+from openpyxl.cell.cell import Cell
 from openpyxl.chart._chart import ChartBase
-from openpyxl.worksheet.worksheet import Worksheet
-from openpyxl.worksheet.filters import AutoFilter, SortState
+from openpyxl.formatting.formatting import ConditionalFormattingList
+from openpyxl.pivot.cache import CacheSource as PivotCacheSource
+from openpyxl.pivot.table import TableDefinition as PivotTableDefinition
+from openpyxl.styles.differential import DifferentialStyle
+from openpyxl.utils import coordinate_to_tuple, get_column_letter
 from openpyxl.worksheet.cell_range import MultiCellRange, CellRange
 from openpyxl.worksheet.dimensions import DimensionHolder
-from openpyxl.formatting.formatting import ConditionalFormattingList
-from openpyxl.utils import coordinate_to_tuple, get_column_letter
-from openpyxl.cell.cell import Cell
-from openpyxl.styles.differential import DifferentialStyle
-from openpyxl.pivot.table import TableDefinition as PivotTableDefinition
-from openpyxl.pivot.cache import CacheSource as PivotCacheSource
-import formulas
+from openpyxl.worksheet.filters import AutoFilter, SortState
+from openpyxl.worksheet.worksheet import Worksheet
 
 V = TypeVar("Value")
 
 logger = logging.getLogger("desktopenv.metrics.utils")
 
-_xlsx_namespaces = [ ("oo", "http://schemas.openxmlformats.org/spreadsheetml/2006/main")
-                   , ("x14", "http://schemas.microsoft.com/office/spreadsheetml/2009/9/main")
-                   , ("xm", "http://schemas.microsoft.com/office/excel/2006/main")
-                   ]
+_xlsx_namespaces = [("oo", "http://schemas.openxmlformats.org/spreadsheetml/2006/main")
+    , ("x14", "http://schemas.microsoft.com/office/spreadsheetml/2009/9/main")
+    , ("xm", "http://schemas.microsoft.com/office/excel/2006/main")
+                    ]
 _xlsx_ns_mapping = dict(_xlsx_namespaces)
 _xlsx_ns_imapping = dict(map(lambda itm: (itm[1], itm[0]), _xlsx_namespaces))
 _xlsx_ns_imapping["http://schemas.openxmlformats.org/spreadsheetml/2006/main"] = None
 _sheet_name_selector = lxml.cssselect.CSSSelector("oo|sheets>oo|sheet", namespaces=_xlsx_ns_mapping)
 _sparklines_selector = lxml.cssselect.CSSSelector("x14|sparkline", namespaces=_xlsx_ns_mapping)
+
+
 def load_sparklines(xlsx_file: str, sheet_name: str) -> Dict[str, str]:
     #  function load_sparklines {{{ # 
     """
@@ -174,6 +175,7 @@ def load_charts(xlsx_file: Workbook, sheet_name: str, **options) -> Dict[str, An
     return chart_set
     #  }}} function load_charts # 
 
+
 # Available Pivot Properties:
 # name: str
 # show_total, show_empty_row, show_empty_col, show_headers: bool
@@ -210,23 +212,26 @@ def load_pivot_tables(xlsx_file: Workbook, sheet_name: str, **options) -> Dict[s
     pivot_set: Dict[str, Any] = {}
     pivot_props: Set[str] = set(options.get("pivot_props", []))
     for pvt in pivots:
-        raw_selection: List[List[tuple[Optional[bool], int]]] =\
-                [ [(itm.h, itm.x) for itm in f.items if itm.x is not None]\
-                  for f in pvt.pivotFields
-                ]
-        raw__selection: List[List[tuple[Optional[bool], int]]] = list(itertools.dropwhile(lambda r: len(r)==0, raw_selection))
-        left_bias = len(raw_selection)-len(raw__selection)
-        selection: List[List[tuple[Optional[bool], int]]] = list((itertools.dropwhile(lambda r: len(r)==0, reversed(raw__selection))))[::-1]
-        right_bias = len(raw__selection)-len(selection)
+        raw_selection: List[List[tuple[Optional[bool], int]]] = \
+            [[(itm.h, itm.x) for itm in f.items if itm.x is not None] \
+             for f in pvt.pivotFields
+             ]
+        raw__selection: List[List[tuple[Optional[bool], int]]] = list(
+            itertools.dropwhile(lambda r: len(r) == 0, raw_selection))
+        left_bias = len(raw_selection) - len(raw__selection)
+        selection: List[List[tuple[Optional[bool], int]]] = list(
+            (itertools.dropwhile(lambda r: len(r) == 0, reversed(raw__selection))))[::-1]
+        right_bias = len(raw__selection) - len(selection)
         cache_source: PivotCacheSource = pvt.cache.cacheSource
         cell_range1: str
         cell_range2: str
         cell_range1, cell_range2 = cache_source.worksheetSource.ref.split(":")
         cell_range1: Tuple[int, int] = coordinate_to_tuple(cell_range1)
-        cell_range1 = (cell_range1[0], cell_range1[1]+left_bias)
+        cell_range1 = (cell_range1[0], cell_range1[1] + left_bias)
         cell_range2: Tuple[int, int] = coordinate_to_tuple(cell_range2)
-        cell_range2 = (cell_range2[0], cell_range2[1]-right_bias)
-        source: str = "{:};{:}:{:};{:}".format(cache_source.type, cell_range1, cell_range2, cache_source.worksheetSource.sheet)
+        cell_range2 = (cell_range2[0], cell_range2[1] - right_bias)
+        source: str = "{:};{:}:{:};{:}".format(cache_source.type, cell_range1, cell_range2,
+                                               cache_source.worksheetSource.sheet)
 
         info: Dict[str, Any] = {}
         if "name" in pivot_props:
@@ -248,22 +253,26 @@ def load_pivot_tables(xlsx_file: Workbook, sheet_name: str, **options) -> Dict[s
         if "filter" in pivot_props:
             info["filter_fields"] = set(f.fld for f in pvt.pageFields)
         if "col_fields" in pivot_props:
-            info["col_fields"] = [f.x-left_bias for f in pvt.colFields]
+            info["col_fields"] = [f.x - left_bias for f in pvt.colFields]
         if "row_fields" in pivot_props:
-            info["row_fields"] = [f.x-left_bias for f in pvt.rowFields]
+            info["row_fields"] = [f.x - left_bias for f in pvt.rowFields]
         if "data_fields" in pivot_props:
-            info["data_fields"] = [ "{:d};{:};{:};{:}".format( f.fld-left_bias, f.name if "data_fields_name" in pivot_props else ""
-                                                             , f.subtotal, f.showDataAs
-                                                             )\
-                                    for f in pvt.dataFields
-                                  ]
+            info["data_fields"] = [
+                "{:d};{:};{:};{:}".format(f.fld - left_bias, f.name if "data_fields_name" in pivot_props else ""
+                                          , f.subtotal, f.showDataAs
+                                          ) \
+                for f in pvt.dataFields
+                ]
 
         pivot_set[source] = info
     logger.debug(".[%s].pivots: %s", sheet_name, repr(pivot_set))
     return pivot_set
     #  }}} function load_pivot_tables # 
 
+
 _shared_str_selector = lxml.cssselect.CSSSelector("oo|sst>oo|si>oo|t", namespaces=_xlsx_ns_mapping)
+
+
 def read_cell_value(xlsx_file: str, sheet_name: str, coordinate: str) -> Any:
     #  read_cell_value {{{ # 
     try:
@@ -283,20 +292,20 @@ def read_cell_value(xlsx_file: str, sheet_name: str, coordinate: str) -> Any:
 
             with z_f.open("xl/worksheets/sheet{:}.xml".format(sheet_names[sheet_name])) as f:
                 sheet: _Element = lxml.etree.fromstring(f.read())
-                cells: List[_Element] =\
-                        lxml.cssselect.CSSSelector( 'oo|row>oo|c[r="{:}"]'.format(coordinate)
-                                                  , namespaces=_xlsx_ns_mapping
-                                                  )(sheet)
-                if len(cells)==0:
+                cells: List[_Element] = \
+                    lxml.cssselect.CSSSelector('oo|row>oo|c[r="{:}"]'.format(coordinate)
+                                               , namespaces=_xlsx_ns_mapping
+                                               )(sheet)
+                if len(cells) == 0:
                     return None
                 cell: _Element = cells[0]
     except zipfile.BadZipFile:
         return None
 
-    cell: Dict[str, str] = xmltodict.parse( lxml.etree.tostring(cell, encoding="unicode")
-                                          , process_namespaces=True
-                                          , namespaces=_xlsx_ns_imapping
-                                          )
+    cell: Dict[str, str] = xmltodict.parse(lxml.etree.tostring(cell, encoding="unicode")
+                                           , process_namespaces=True
+                                           , namespaces=_xlsx_ns_imapping
+                                           )
     logger.debug("%s.%s[%s]: %s", xlsx_file, sheet_name, coordinate, repr(cell))
     if "@t" not in cell["c"]:
         return None
@@ -308,6 +317,7 @@ def read_cell_value(xlsx_file: str, sheet_name: str, coordinate: str) -> Any:
         return cell["c"]["v"]
     #  }}} read_cell_value # 
 
+
 # Supported Styles:
 # number_format
 # font_name - str
@@ -322,50 +332,53 @@ def read_cell_value(xlsx_file: str, sheet_name: str, coordinate: str) -> Any:
 # fgcolor - in aRGB, e.g., FF00FFFF is yellow
 # hyperlink - str
 def _read_cell_style(style_name: str, cell: Cell, diff_style: Optional[DifferentialStyle] = None) -> Any:
-    if style_name=="number_format":
-        return (cell.number_format if diff_style is None else diff_style.numFmt.formatCode)\
-               if cell.value is not None and cell.data_type=="n" else None
-    elif style_name=="font_name":
+    if style_name == "number_format":
+        return (cell.number_format if diff_style is None else diff_style.numFmt.formatCode) \
+            if cell.value is not None and cell.data_type == "n" else None
+    elif style_name == "font_name":
         return (diff_style or cell).font.name if cell.value is not None else None
-    elif style_name=="font_family":
+    elif style_name == "font_family":
         return (diff_style or cell).font.family if cell.value is not None else None
-    elif style_name=="font_color":
+    elif style_name == "font_color":
         return (diff_style or cell).font.color.rgb if cell.value is not None else None
-    elif style_name=="font_bold":
+    elif style_name == "font_bold":
         return (diff_style or cell).font.bold if cell.value is not None else None
-    elif style_name=="font_italic":
+    elif style_name == "font_italic":
         return (diff_style or cell).font.italic if cell.value is not None else None
-    elif style_name=="font_underline":
+    elif style_name == "font_underline":
         return (diff_style or cell).font.underline if cell.value is not None else None
-    elif style_name=="font_size":
+    elif style_name == "font_size":
         return (diff_style or cell).font.size if cell.value is not None else None
-    elif style_name=="fill_type":
+    elif style_name == "fill_type":
         try:
             return (diff_style or cell).fill.tagname
         except:
             return None
-    elif style_name=="bgcolor":
+    elif style_name == "bgcolor":
         try:
             return (diff_style or cell).fill.bgColor.rgb
         except:
             return None
-    elif style_name=="fgcolor":
+    elif style_name == "fgcolor":
         try:
             return (diff_style or cell).fill.fgColor.rgb
         except:
             return None
-    elif style_name=="hyperlink":
+    elif style_name == "hyperlink":
         return cell.hyperlink or "" if cell.value is not None else None
     else:
         raise NotImplementedError("Unsupported Style: {:}".format(style_name))
 
-_absolute_range_pattern: Pattern[str] = re.compile( r"""\$(?P<col1>[A-Z]{1,3})\$(?P<row1>\d+) # coord1
+
+_absolute_range_pattern: Pattern[str] = re.compile(r"""\$(?P<col1>[A-Z]{1,3})\$(?P<row1>\d+) # coord1
                                                         (?::
                                                           \$(?P<col2>[A-Z]{1,3})\$(?P<row2>\d+) # coord2
                                                         )?
                                                      """
-                                                  , re.X
-                                                  )
+                                                   , re.X
+                                                   )
+
+
 def load_xlsx_styles(xlsx_file: Workbook, sheet_name: str, book_name: str, **options) -> Dict[str, List[Any]]:
     #  function load_xlsx_styles {{{ # 
     """
@@ -417,24 +430,24 @@ def load_xlsx_styles(xlsx_file: Workbook, sheet_name: str, book_name: str, **opt
                     if m[2] is None and m[3] is None:
                         arguments.append(read_cell_value(book_name, sheet_name, coordinate="{:}{:}".format(m[0], m[1])))
                     else:
-                        arguments.append( [ read_cell_value( book_name, sheet_name
-                                                           , coordinate="{:}{:}".format( get_column_letter(c[1])
+                        arguments.append([read_cell_value(book_name, sheet_name
+                                                          , coordinate="{:}{:}".format(get_column_letter(c[1])
                                                                                        , c[0]
                                                                                        )
-                                                           )\
-                                            for c in CellRange("{:}{:}:{:}{:}".format(m[0], m[1], m[2], m[3])).cells\
+                                                          ) \
+                                          for c in CellRange("{:}{:}:{:}{:}".format(m[0], m[1], m[2], m[3])).cells \
                                           ]
-                                        )
+                                         )
                 logger.debug("Absolute range arguments: %s", repr(arguments))
 
                 for rge in fmt.cells:
                     for c in rge.cells:
                         cell: Cell = worksheet.cell(row=c[0], column=c[1])
-                        cell_value = read_cell_value( book_name, sheet_name
-                                                    , coordinate="{:}{:d}".format( get_column_letter(c[1])
-                                                                                 , c[0]
-                                                                                 )
-                                                    )
+                        cell_value = read_cell_value(book_name, sheet_name
+                                                     , coordinate="{:}{:d}".format(get_column_letter(c[1])
+                                                                                   , c[0]
+                                                                                   )
+                                                     )
                         if condition(cell_value, *arguments):
                             logger.debug("Active Cell %s(%s) for %s", repr(cell), str(cell_value), r.formula[0])
                             active_cells.append(cell)
@@ -448,6 +461,7 @@ def load_xlsx_styles(xlsx_file: Workbook, sheet_name: str, book_name: str, **opt
     return style_dict
     #  }}} function load_xlsx_styles # 
 
+
 # Available Row Properties:
 # hidden
 # collapsed
@@ -460,7 +474,7 @@ def load_xlsx_styles(xlsx_file: Workbook, sheet_name: str, book_name: str, **opt
 # collapsed
 # min
 # max
-def load_rows_or_cols(xlsx_file: Workbook, sheet_name: str, **options)\
+def load_rows_or_cols(xlsx_file: Workbook, sheet_name: str, **options) \
         -> Dict[Union[int, str], Dict[str, Any]]:
     #  function load_rows_or_cols {{{ # 
     """
@@ -491,6 +505,7 @@ def load_rows_or_cols(xlsx_file: Workbook, sheet_name: str, **options)\
     return obj_set
     #  }}} function load_rows_or_cols # 
 
+
 def load_filters(xlsx_file: Workbook, sheet_name: str, **options) -> Dict[str, Any]:
     #  function load_filters {{{ # 
     try:
@@ -514,16 +529,16 @@ def load_filters(xlsx_file: Workbook, sheet_name: str, **options) -> Dict[str, A
             filter_column["filters"] = set(flt_clm.filters.filter)
         if flt_clm.customFilters is not None:
             filter_column["custom_filters_op"] = flt_clm.customFilters._and
-            filter_column["custom_filters"] = set( ( flt.operator
+            filter_column["custom_filters"] = set((flt.operator
                                                    , flt.val
-                                                   )\
-                                                   for flt in flt_clm.customFilters.customFilter
-                                                 )
+                                                   ) \
+                                                  for flt in flt_clm.customFilters.customFilter
+                                                  )
         filter_column_set.append(filter_column)
-    filter_column_set = list( sorted( filter_column_set
+    filter_column_set = list(sorted(filter_column_set
                                     , key=(lambda d: d["col_id"])
                                     )
-                            )
+                             )
     filter_dict["filter_column"] = filter_column_set
 
     # sortState
@@ -534,26 +549,30 @@ def load_filters(xlsx_file: Workbook, sheet_name: str, **options) -> Dict[str, A
         sort_state_dict["case"] = sort_state.caseSensitive
         sort_state_dict["method"] = sort_state.sortMethod
         sort_state_dict["ref"] = sort_state.ref
-        sort_state_dict["condition"] = list( { "descending": cdt.descending
-                                             , "key": cdt.sortBy
-                                             , "ref": cdt.ref
-                                             , "custom_list": cdt.customList
-                                             , "dxf_id": cdt.dxfId
-                                             , "icon": cdt.iconSet
-                                             , "iconid": cdt.iconId
-                                             }\
-                                             for cdt in sort_state.sortCondition
-                                           )
+        sort_state_dict["condition"] = list({"descending": cdt.descending
+                                                , "key": cdt.sortBy
+                                                , "ref": cdt.ref
+                                                , "custom_list": cdt.customList
+                                                , "dxf_id": cdt.dxfId
+                                                , "icon": cdt.iconSet
+                                                , "iconid": cdt.iconId
+                                             } \
+                                            for cdt in sort_state.sortCondition
+                                            )
         filter_dict["sort_state"] = sort_state_dict
 
     return filter_dict
     #  }}} function load_filters # 
 
+
 def _match_record(pattern: Dict[str, Any], item: Dict[str, Any]) -> bool:
     return all(k in item and item[k] == val for k, val in pattern.items())
 
+
 def _multicellrange_containsby(subset_candidate: MultiCellRange, superset_candidate: MultiCellRange) -> bool:
     return all(r in superset_candidate for r in subset_candidate)
+
+
 def _match_value_to_rule(value: V, rule: Dict[str, Union[str, V]]) -> bool:
     """
     Args:
@@ -576,10 +595,10 @@ def _match_value_to_rule(value: V, rule: Dict[str, Union[str, V]]) -> bool:
 
         match_: Optional[Match[str]] = re.search(rule["ref"], value, flag)
         return match_ is not None
-    if rule["method"] in { "eq", "ne"
-                         , "le", "lt"
-                         , "ge", "gt"
-                         }:
+    if rule["method"] in {"eq", "ne"
+        , "le", "lt"
+        , "ge", "gt"
+                          }:
         return getattr(operator, rule["method"])(value, rule["ref"])
     if rule["method"].startswith("approx"):
         threshold: float = float(rule["method"].split(":")[1])
@@ -589,26 +608,27 @@ def _match_value_to_rule(value: V, rule: Dict[str, Union[str, V]]) -> bool:
         except (ValueError, TypeError):
             return False
         else:
-            return abs(value-rule["ref"])<=threshold
+            return abs(value - rule["ref"]) <= threshold
     if rule["method"] == "spreadsheet_range":
         subset_limit = MultiCellRange(rule["ref"][0])
         superset_limit = MultiCellRange(rule["ref"][1])
-        return _multicellrange_containsby(subset_limit, value)\
-           and _multicellrange_containsby(value, superset_limit)
-    if rule["method"].startswith("range."): # e.g., range.te [0, 2] -> 0 < x <= 2
+        return _multicellrange_containsby(subset_limit, value) \
+            and _multicellrange_containsby(value, superset_limit)
+    if rule["method"].startswith("range."):  # e.g., range.te [0, 2] -> 0 < x <= 2
         left_et = rule["method"][6]
         right_et = rule["method"][7]
-        return getattr(operator, "l" + left_et)(rule["ref"][0], value)\
-           and getattr(operator, "l" + right_et)(value, rule["ref"][1])
+        return getattr(operator, "l" + left_et)(rule["ref"][0], value) \
+            and getattr(operator, "l" + right_et)(value, rule["ref"][1])
     if rule["method"] in {"str_list_eq", "str_set_eq"}:
         container_type_str: str = rule["method"][4:-3]
         container_type = getattr(builtins, container_type_str)
 
         value: container_type = container_type(value.strip("\"'").split(","))
         ref: container_type = container_type(rule["ref"])
-        return value==ref
+        return value == ref
     raise NotImplementedError()
 
+
 def are_lists_equal(list1, list2, comparison_func):
     # First check if both lists have the same length
     if len(list1) != len(list2):
@@ -652,114 +672,3 @@ def compare_urls(url1, url2):
 
     # Compare the normalized URLs
     return norm_url1 == norm_url2
-
-
-if __name__ == "__main__":
-    path1 = "test.xlsx"
-    #path1 = "../../任务数据/LibreOffice Calc/Create_column_charts_using_statistics_gold.xlsx"
-    path1 = "../../任务集/SheetCopilot/dataset/task_sheet_answers_v2/BoomerangSales/2_BoomerangSales/2_BoomerangSales_gt1.xlsx"
-    workbook1: Workbook = openpyxl.load_workbook(filename=path1)
-    worksheet1: Worksheet = workbook1.active
-    #charts: List[ChartBase] = worksheet1._charts
-    # print(len(charts))
-    # print(type(charts[0]))
-    #
-    # print(len(charts[0].series))
-    # print(type(charts[0].series[0]))
-    # print(type(charts[0].series[0].val))
-    ##print(charts[0].series[0].val)
-    # print(charts[0].series[0].val.numRef.f)
-    #
-    # print(type(charts[0].series[0].cat))
-    ##print(charts[0].series[0].cat)
-    # print(charts[0].series[0].cat.numRef)
-    # print(charts[0].series[0].cat.strRef)
-    # print(charts[0].series[0].cat.strRef.f)
-
-    # print(type(charts[0].title.tx.strRef))
-    # print(type(charts[0].title.tx.rich))
-    # print(type(charts[0].title.txPr))
-    # print(len(charts[0].title.tx.rich.p))
-    # print(len(charts[0].title.tx.rich.p[0].r))
-    # print(type(charts[0].title.tx.rich.p[0].r[0]))
-    # print(type(charts[0].title.tx.rich.p[0].r[0].t))
-    # print(charts[0].title.tx.rich.p[0].r[0].t)
-
-    # print(type(charts[0].anchor))
-    # print(charts[0].anchor.editAs)
-    # print(charts[0].anchor._from.col, charts[0].anchor.to.row)
-    # print(charts[0].anchor.to.col, charts[0].anchor.to.row)
-
-    # df1 = pd.read_excel(path1)
-    # print(df1)
-    #print(load_charts(path1, chart_props=["title", "xtitle", "ytitle", "type"]))
-    #print(type(worksheet1["A1"].hyperlink))
-    #print(worksheet1["A1"].hyperlink)
-    #print(worksheet1._charts[0].legend)
-            #print(worksheet1._charts[0].legend.position)
-    #for entr in worksheet1._charts[0].legend.legendEntry:
-            #print("Entr", entr.txPr.p[0].r[0].t)
-    #print(load_filters(workbook1, "工作表1"))
-    #print(worksheet1.auto_filter)
-    #for pvt in worksheet1._pivots:
-        ##print(type(pvt))
-        ##print(pvt)
-        #print(type(pvt.cache))
-                      ##print(pvt.cache)
-        #print(pvt.cache.cacheSource.type)
-        #print(pvt.cache.cacheSource.worksheetSource.ref)
-        #print(pvt.cache.cacheSource.worksheetSource.sheet)
-#
-        #print(type(pvt.location))
-        #print(pvt.location)
-        #for f in pvt.pivotFields:
-            #print(type(f))
-            #print([(itm.h, itm.x) for itm in f.items])
-                                       ##for f_itm in f.items:
-                ##print(f_itm.n)
-                ##print(f_itm.t)
-                ##print(f_itm.h)
-           ##print(f_itm.s)
-           ##print(f_itm.sd)
-           ##print(f_itm.f)
-           ##print(f_itm.m)
-                                    ##print(f_itm.c)
-                                    ##print(f_itm.x)
-                                            ##print(f_itm.d)
-                        ##print(f_itm.e)
-           ##print(f.countASubtotal)
-            ##print(f.countSubtotal)
-            ##for f in pvt.dataFields:
-                       ##print(f.name)
-                       ##print(f.fld)
-                                    ###print(f.baseField)
-                                    ##print(f.subtotal)
-                       ##print(f.showDataAs)
-                  ##for f in pvt.rowFields:
-                  ##print(1, f.x)
-           ##for f in pvt.rowItems:
-                    ##print(2, f.t, f.r, f.i, f.x)
-           ##for f in pvt.colFields:
-           ##print(3, f.x)
-                  ##for f in pvt.colItems:
-        ##print(4, f.t, f.r, f.i, f.x)
-        #for f in pvt.pageFields:
-            #print(5, f.fld)
-        #for flt in pvt.filters:
-        #print(5, flt.fld)
-                                            #print(6, flt.mpFld)
-                              #print(7, flt.type)
-                              #print(8, flt.evalOrder)
-                              #print(9, flt.id)
-                                            #print(10, flt.stringValue1)
-                              #print(11, flt.stringValue2)
-   #print(load_charts(workbook1, "Sheet2", chart_props=["title", "type", "legend"]))
-    #print(load_filters(workbook1, "透视表_工作表1_1"))
-    #workbook1.save("test2.xlsx")
-    print( load_pivot_tables( workbook1, "Sheet2", pivot_props=[ "col_fields"
-                                                               , "filter"
-                                                               , "row_fields"
-                                                               , "data_fields"
-                                                               ]
-                            )
-         )