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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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158 lines
4.8 KiB
158 lines
4.8 KiB
import abc
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import csv
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import itertools
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import json
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import os
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import uuid
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import zipfile
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from collections import defaultdict
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from typing import Dict, Iterable, Iterator, List
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from .data import Record
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class BaseWriter:
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def __init__(self, tmpdir: str):
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self.tmpdir = tmpdir
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@abc.abstractmethod
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def write(self, records: Iterator[Record]) -> str:
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raise NotImplementedError()
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def write_zip(self, filenames: Iterable):
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save_file = "{}.zip".format(os.path.join(self.tmpdir, str(uuid.uuid4())))
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with zipfile.ZipFile(save_file, "w", compression=zipfile.ZIP_DEFLATED) as zf:
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for file in filenames:
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zf.write(filename=file, arcname=os.path.basename(file))
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return save_file
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class LineWriter(BaseWriter):
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extension = "txt"
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def write(self, records: Iterator[Record]) -> str:
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files = {}
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for record in records:
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filename = os.path.join(self.tmpdir, f"{record.user}.{self.extension}")
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if filename not in files:
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f = open(filename, mode="a")
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files[filename] = f
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f = files[filename]
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line = self.create_line(record)
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f.write(f"{line}\n")
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for f in files.values():
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f.close()
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save_file = self.write_zip(files)
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for file in files:
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os.remove(file)
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return save_file
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@abc.abstractmethod
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def create_line(self, record) -> str:
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raise NotImplementedError()
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class CsvWriter(BaseWriter):
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extension = "csv"
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def write(self, records: Iterator[Record]) -> str:
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writers = {}
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file_handlers = set()
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record_list = list(records)
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header = self.create_header(record_list)
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for record in record_list:
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filename = os.path.join(self.tmpdir, f"{record.user}.{self.extension}")
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if filename not in writers:
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f = open(filename, mode="a", encoding="utf-8")
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writer = csv.DictWriter(f, header)
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writer.writeheader()
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writers[filename] = writer
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file_handlers.add(f)
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writer = writers[filename]
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line = self.create_line(record)
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writer.writerow(line)
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for f in file_handlers:
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f.close()
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save_file = self.write_zip(writers)
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for file in writers:
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os.remove(file)
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return save_file
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def create_line(self, record) -> Dict:
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return {"id": record.id, "data": record.data, "label": "#".join(sorted(record.label)), **record.metadata}
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def create_header(self, records: List[Record]) -> List[str]:
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header = ["id", "data", "label"]
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header += sorted(set(itertools.chain(*[r.metadata.keys() for r in records])))
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return header
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class JSONWriter(BaseWriter):
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extension = "json"
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def write(self, records: Iterator[Record]) -> str:
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writers = {}
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contents = defaultdict(list)
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for record in records:
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filename = os.path.join(self.tmpdir, f"{record.user}.{self.extension}")
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if filename not in writers:
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f = open(filename, mode="a", encoding="utf-8")
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writers[filename] = f
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line = self.create_line(record)
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contents[filename].append(line)
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for filename, f in writers.items():
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content = contents[filename]
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json.dump(content, f, ensure_ascii=False)
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f.close()
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save_file = self.write_zip(writers)
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for file in writers:
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os.remove(file)
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return save_file
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def create_line(self, record) -> Dict:
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return {"id": record.id, "data": record.data, "label": record.label, **record.metadata}
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class JSONLWriter(LineWriter):
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extension = "jsonl"
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def create_line(self, record):
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return json.dumps(
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{"id": record.id, "data": record.data, "label": record.label, **record.metadata}, ensure_ascii=False
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)
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class FastTextWriter(LineWriter):
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extension = "txt"
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def create_line(self, record):
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line = [f"__label__{label}" for label in record.label]
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line.sort()
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line.append(record.data)
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line = " ".join(line)
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return line
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class IntentAndSlotWriter(LineWriter):
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extension = "jsonl"
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def create_line(self, record):
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if isinstance(record.label, dict):
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return json.dumps(
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{
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"id": record.id,
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"text": record.data,
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"cats": record.label.get("cats", []),
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"entities": record.label.get("entities", []),
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**record.metadata,
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},
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ensure_ascii=False,
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)
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else:
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return json.dumps(
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{"id": record.id, "text": record.data, "cats": [], "entities": [], **record.metadata},
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ensure_ascii=False,
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)
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