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- anki._backend stores the protobuf files and rsbackend.py code - pylib modules import protobuf messages directly from the _pb2 files, and explicitly export any will be returned or consumed by public pylib functions, so that calling code can import from pylib - the "rsbackend" no longer imports and re-exports protobuf messages - pylib can just consume them directly. - move errors to errors.py Still todo: - rsbridge - finishing the work on rsbackend, and check what we need to add back to the original file location to avoid breaking add-ons
153 lines
4.8 KiB
Python
153 lines
4.8 KiB
Python
# Copyright: Ankitects Pty Ltd and contributors
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# License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
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import csv
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import re
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from typing import Any, List, Optional, TextIO, Union
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from anki.collection import Collection
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from anki.importing.noteimp import ForeignNote, NoteImporter
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from anki.lang import TR
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class TextImporter(NoteImporter):
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needDelimiter = True
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patterns = "\t|,;:"
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def __init__(self, col: Collection, file: str) -> None:
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NoteImporter.__init__(self, col, file)
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self.lines = None
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self.fileobj: Optional[TextIO] = None
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self.delimiter: Optional[str] = None
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self.tagsToAdd: List[str] = []
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self.numFields = 0
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self.dialect: Optional[Any]
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self.data: Optional[Union[str, List[str]]]
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def foreignNotes(self) -> List[ForeignNote]:
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self.open()
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# process all lines
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log = []
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notes = []
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lineNum = 0
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ignored = 0
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if self.delimiter:
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reader = csv.reader(self.data, delimiter=self.delimiter, doublequote=True)
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else:
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reader = csv.reader(self.data, self.dialect, doublequote=True)
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try:
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for row in reader:
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if len(row) != self.numFields:
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if row:
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log.append(
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self.col.tr(
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TR.IMPORTING_ROWS_HAD_NUM1D_FIELDS_EXPECTED_NUM2D,
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row=" ".join(row),
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found=len(row),
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expected=self.numFields,
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)
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)
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ignored += 1
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continue
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note = self.noteFromFields(row)
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notes.append(note)
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except (csv.Error) as e:
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log.append(self.col.tr(TR.IMPORTING_ABORTED, val=str(e)))
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self.log = log
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self.ignored = ignored
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self.close()
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return notes
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def open(self) -> None:
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"Parse the top line and determine the pattern and number of fields."
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# load & look for the right pattern
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self.cacheFile()
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def cacheFile(self) -> None:
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"Read file into self.lines if not already there."
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if not self.fileobj:
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self.openFile()
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def openFile(self) -> None:
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self.dialect = None
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self.fileobj = open(self.file, "r", encoding="utf-8-sig")
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self.data = self.fileobj.read()
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def sub(s):
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return re.sub(r"^\#.*$", "__comment", s)
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self.data = [
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sub(x) + "\n" for x in self.data.split("\n") if sub(x) != "__comment"
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]
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if self.data:
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if self.data[0].startswith("tags:"):
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tags = str(self.data[0][5:]).strip()
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self.tagsToAdd = tags.split(" ")
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del self.data[0]
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self.updateDelimiter()
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if not self.dialect and not self.delimiter:
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raise Exception("unknownFormat")
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def updateDelimiter(self) -> None:
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def err():
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raise Exception("unknownFormat")
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self.dialect = None
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sniffer = csv.Sniffer()
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if not self.delimiter:
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try:
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self.dialect = sniffer.sniff("\n".join(self.data[:10]), self.patterns)
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except:
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try:
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self.dialect = sniffer.sniff(self.data[0], self.patterns)
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except:
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pass
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if self.dialect:
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try:
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reader = csv.reader(self.data, self.dialect, doublequote=True)
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except:
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err()
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else:
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if not self.delimiter:
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if "\t" in self.data[0]:
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self.delimiter = "\t"
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elif ";" in self.data[0]:
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self.delimiter = ";"
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elif "," in self.data[0]:
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self.delimiter = ","
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else:
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self.delimiter = " "
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reader = csv.reader(self.data, delimiter=self.delimiter, doublequote=True)
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try:
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while True:
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row = next(reader)
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if row:
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self.numFields = len(row)
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break
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except:
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err()
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self.initMapping()
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def fields(self) -> int:
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"Number of fields."
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self.open()
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return self.numFields
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def close(self):
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if self.fileobj:
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self.fileobj.close()
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self.fileobj = None
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def __del__(self):
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self.close()
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zuper = super()
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if hasattr(zuper, "__del__"):
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# pylint: disable=no-member
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zuper.__del__(self) # type: ignore
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def noteFromFields(self, fields: List[str]) -> ForeignNote:
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note = ForeignNote()
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note.fields.extend([x for x in fields])
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note.tags.extend(self.tagsToAdd)
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return note
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