ver Dec26th
evaluation metric checking result file according to rules
This commit is contained in:
@@ -1 +1,2 @@
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from .file import get_cloud_file, get_vm_file
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from .file import get_cloud_file, get_vm_file
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from .misc import get_rule
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8
desktop_env/evaluators/getters/misc.py
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8
desktop_env/evaluators/getters/misc.py
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from typing import TypeVar
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R = TypeVar("Rule")
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def get_rule(env, config: R) -> R:
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"""
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Returns the rule as-is.
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"""
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return config
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@@ -1 +1,2 @@
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from .table import compare_table, compare_with_sparklines
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from .table import compare_table, compare_with_sparklines
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from .table import check_sheet_list, check_xlsx_freeze
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@@ -5,9 +5,12 @@ import lxml.cssselect
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from lxml.etree import _Element
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from lxml.etree import _Element
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import xmltodict
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import xmltodict
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#import pylightxl
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#import pylightxl
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import openpyxl
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#from openpyxl import Workbook
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from openpyxl.worksheet.worksheet import Worksheet
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from typing import Dict, List
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from typing import Dict, List
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#from typing import Any
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from typing import Any
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def compare_table(actual, expected):
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def compare_table(actual, expected):
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df1 = pd.read_excel(expected)
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df1 = pd.read_excel(expected)
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@@ -57,18 +60,89 @@ def compare_with_sparklines(actual: str, expected: str) -> float:
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df1 = pd.read_excel(actual)
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df1 = pd.read_excel(actual)
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df2 = pd.read_excel(expected)
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df2 = pd.read_excel(expected)
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normal_content_metric: bool = df1.equals(df2)
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normal_content_metric: bool = df1.equals(df2)
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print("Normal Contents Metric: {:}".format(normal_content_metric))
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sp1 = _load_sparklines(actual)
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sp1 = _load_sparklines(actual)
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sp2 = _load_sparklines(expected)
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sp2 = _load_sparklines(expected)
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sparkline_metric: bool = sp1 == sp2
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sparkline_metric: bool = sp1 == sp2
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print("Sparkline Metric: {:}".format(sparkline_metric))
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return float(normal_content_metric and sparkline_metric)
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return float(normal_content_metric and sparkline_metric)
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def check_sheet_list(result: str, rules: List[Dict[str, Any]]) -> float:
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#workbook: Workbook = openpyxl.load_workbook(filename=result)
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workbook = pd.ExcelFile(result)
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worksheet_names: List[str] = workbook.sheet_names
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passes = True
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for r in rules:
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if r["type"]=="sheet_name":
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expected_name: str = worksheet_names[r["sheet_idx"]]
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actual_name: str = r["sheet_name"]
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metric: bool = expected_name==actual_name
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print("Assertion: {:d}.{:} is {:} - {:}".format(r["sheet_idx"], actual_name, expected_name, metric))
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passes = passes and metric
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elif r["type"]=="sheet_data":
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if isinstance(r["sheet_idx0"], int):
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df1: pd.DataFrame = pd.read_excel(workbook, r["sheet_idx0"])
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else:
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file_name: str
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sheet_idx: str
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file_name, sheet_idx = r["sheet_idx0"].rsplit("@", maxsplit=1)
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sheet_idx: int = int(sheet_idx)
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df1: pd.DataFrame = pd.read_excel(file_name, sheet_idx)
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if isinstance(r["sheet_idx1"], int):
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df2: pd.DataFrame = pd.read_excel(workbook, r["sheet_idx1"])
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else:
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file_name: str
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sheet_idx: str
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file_name, sheet_idx = r["sheet_idx1"].rsplit("@", maxsplit=1)
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sheet_idx: int = int(sheet_idx)
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df2: pd.DataFrame = pd.read_excel(file_name, sheet_idx)
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metric: bool = df1.equals(df2)
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print("Assertion: {:} == {:} - {:}".format(r["sheet_idx0"], r["sheet_idx1"], metric))
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passes = passes and metric
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else:
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raise NotImplementedError("Unimplemented sheet check: {:}".format(r["type"]))
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return float(passes)
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def check_xlsx_freeze(result: str, rules: Dict[str, str]) -> float:
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worksheet: Worksheet = openpyxl.load_workbook(filename=result).active
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return float(worksheet.freeze_panes==rules["position"])
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if __name__ == '__main__':
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if __name__ == '__main__':
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#path1 = ""
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#path1 = ""
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#path2 = ""
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#path2 = ""
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#print(compare_table(path1, path2))
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#print(compare_table(path1, path2))
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path1 = "../../../../../任务数据/LibreOffice Calc/OrderId_Month_Chart_gold.xlsx"
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#path1 = "../../../../../任务数据/LibreOffice Calc/OrderId_Month_Chart_gold.xlsx"
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path2 = "../../../../../任务数据/LibreOffice Calc/OrderId_Month_Chart.xlsx"
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#path2 = "../../../../../任务数据/LibreOffice Calc/OrderId_Month_Chart.xlsx"
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print(compare_with_sparklines(path1, path2))
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#print(compare_with_sparklines(path1, path2))
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#path1 = "../../../../../任务数据/LibreOffice Calc/Freeze_row_column_gold.xlsx"
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#path2 = "../../../../../任务数据/LibreOffice Calc/Freeze_row_column.xlsx"
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#workbook1: Workbook = openpyxl.load_workbook(filename=path1)
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#worksheet1: Worksheet = workbook1.active
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#print(worksheet1.freeze_panes)
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#workbook2: Workbook = openpyxl.load_workbook(filename=path2)
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#worksheet2: Worksheet = workbook2.active
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#print(worksheet2.freeze_panes)
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#rule = {"position": "C6"}
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#print(check_xlsx_freeze(path1, rule))
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path1 = "../../../../../任务数据/LibreOffice Calc/copy_sheet_insert_gold.xlsx"
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rule = [ { "type": "sheet_name"
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, "sheet_idx": 0
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, "sheet_name": "Sheet1"
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}
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, { "type": "sheet_data"
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, "sheet_idx0": "../../../../../任务数据/LibreOffice Calc/copy_sheet_insert.xlsx@0"
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, "sheet_idx1": 1
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}
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, { "type": "sheet_name"
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, "sheet_idx": 2
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, "sheet_name": "Sheet2"
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}
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]
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print(check_sheet_list(path1, rule))
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@@ -0,0 +1,43 @@
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{
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"id": "4188d3a4-077d-46b7-9c86-23e1a036f6c1",
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"snapshot": "libreoffice_calc",
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"instruction": "Help me freeze the range A1:B5 on this sheet",
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"source": "https://www.libreofficehelp.com/freeze-unfreeze-rows-columns-ranges-calc/",
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"config": [
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{
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"type": "download",
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"parameters": {
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"files": [
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{
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"url": "https://101.43.24.67/s/H7k3zLNaNcMWyLB/download/Freeze_row_column.xlsx",
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"path": "/home/david/Freeze_row_column.xlsx"
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}
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]
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}
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},
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{
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"type": "open",
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"parameters": {
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"path": "/home/david/Freeze_row_column.xlsx"
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}
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}
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],
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"trajectory": "trajectories/4188d3a4-077d-46b7-9c86-23e1a036f6c1",
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"related_apps": [
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"libreoffice_calc"
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],
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"evaluators": {
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"func": "check_xlsx_freeze",
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"result": {
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"type": "vm_file",
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"path": "/home/david/Freeze_row_column.xlsx",
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"dest": "Freeze_row_column.xlsx"
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},
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"expected": {
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"type": "rule",
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"rules": {
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"position": "C6"
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}
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}
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}
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}
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@@ -18,3 +18,4 @@ requests-toolbelt~=1.0.0
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lxml
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lxml
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cssselect
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cssselect
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xmltodict
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xmltodict
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openpyxl
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