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61 lines
2.4 KiB
61 lines
2.4 KiB
# MIT License |
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# |
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# Copyright (c) 2024 Eugenio Parodi <ceccopierangiolieugenio AT googlemail DOT com> |
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# |
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# Permission is hereby granted, free of charge, to any person obtaining a copy |
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# of this software and associated documentation files (the "Software"), to deal |
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# in the Software without restriction, including without limitation the rights |
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
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# copies of the Software, and to permit persons to whom the Software is |
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# furnished to do so, subject to the following conditions: |
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# |
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# The above copyright notice and this permission notice shall be included in all |
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# copies or substantial portions of the Software. |
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# |
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
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# SOFTWARE. |
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__all__=['TTkTableModelCSV'] |
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import csv |
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from TermTk.TTkCore.constant import TTkK |
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from TermTk.TTkWidgets.TTkModelView.tablemodellist import TTkTableModelList |
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class TTkTableModelCSV(TTkTableModelList): |
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def __init__(self, *, filename='', fd=None): |
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ml, head, idx = [[]], [], [] |
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if filename: |
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with open(filename, "r") as fd: |
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ml, head, idx = self._csvImport(fd) |
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elif fd: |
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ml, head, idx = self._csvImport(fd) |
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super().__init__(list=ml,header=head,indexes=idx) |
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def _csvImport(self, fd) -> tuple[list,list,list[list]]: |
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ml, head, idx = [], [], [] |
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sniffer = csv.Sniffer() |
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has_header = sniffer.has_header(fd.read(2048)) |
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fd.seek(0) |
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csvreader = csv.reader(fd) |
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for row in csvreader: |
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ml.append(row) |
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if has_header: |
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head = ml.pop(0) |
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# check if the first column include an index: |
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if self._checkIndexColumn(ml): |
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head.pop(0) |
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for l in ml: |
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idx.append(l.pop(0)) |
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return ml, head, idx |
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def _checkIndexColumn(self, ml:list[list]) -> bool: |
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if all(l[0].isdigit() for l in ml): |
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num = int(ml[0][0]) |
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return all(num+i==int(l[0]) for i,l in enumerate(ml)) |
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return False
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