Files
ragflow/rag/app/email.py
Rodger Blom d8cefcf052 feat: add native Dutch language support for BM25 tokenization (#14140)
## Summary
- Add language-aware Snowball stemmer to `RagTokenizer` supporting 16
languages (Dutch, German, French, Spanish, etc.)
- Thread the KB `language` parameter through the full tokenization
pipeline (14 parser modules + task executor)
- Add Dutch to the frontend language lists and cross-language form

## Problem
RAGFlow uses the English Porter stemmer + WordNet lemmatizer for **all**
BM25 tokenization, regardless of the knowledge base language setting.
This produces incorrect stems for non-English text. For example:

| Dutch word | Dutch stemmer | English Porter |
|---|---|---|
| documenten | document | documenten (unchanged!) |
| gebruikers | gebruiker | gebruik (over-stemmed) |
| instellingen | instell | instellingen (unchanged!) |

This degrades BM25 recall for any non-English knowledge base.

## Solution
NLTK already ships Snowball stemmers for 16 languages. This PR:

1. **`rag/nlp/rag_tokenizer.py`**: Overrides `tokenize()` with
`set_language()` and `_normalize_token()` that selects the correct NLTK
Snowball stemmer. Falls back to Porter for unmapped languages (Chinese,
Japanese, Korean, etc. — these use character-based tokenization anyway).
2. **`rag/nlp/__init__.py`** + **14 `rag/app/*.py` parsers** +
**`rag/svr/task_executor.py`**: Threads the `language` parameter through
`tokenize()`, `tokenize_chunks()`, `tokenize_table()`, and all callers.
3. **Frontend**: Adds Dutch (`Nederlands`) to `LanguageList`,
`LanguageMap`, `LanguageAbbreviationMap`, `LanguageTranslationMap`,
cross-language form field, and `en.ts` locale.

## Backward Compatibility
- Default language is `"English"`, preserving existing behavior for all
current users
- Languages without a Snowball stemmer mapping fall back to Porter (no
change)
- No new dependencies — NLTK Snowball is already bundled
2026-07-06 23:39:56 +08:00

130 lines
4.5 KiB
Python

#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
from email import policy
from email.parser import BytesParser
from rag.app.naive import chunk as naive_chunk
from common.constants import MAXIMUM_PAGE_NUMBER
import re
from rag.nlp import rag_tokenizer, naive_merge, tokenize_chunks
from deepdoc.parser import HtmlParser, TxtParser
from timeit import default_timer as timer
import io
def chunk(
filename,
binary=None,
from_page=0,
to_page=MAXIMUM_PAGE_NUMBER,
lang="Chinese",
callback=None,
**kwargs,
):
"""
Only eml is supported
"""
eng = lang.lower() == "english" # is_english(cks)
parser_config = kwargs.get(
"parser_config",
{"chunk_token_num": 512, "delimiter": "\n!?。;!?", "layout_recognize": "DeepDOC"},
)
doc = {
"docnm_kwd": filename,
"title_tks": rag_tokenizer.tokenize(re.sub(r"\.[a-zA-Z]+$", "", filename)),
}
doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"])
main_res = []
attachment_res = []
if binary:
with io.BytesIO(binary) as buffer:
msg = BytesParser(policy=policy.default).parse(buffer)
else:
with open(filename, "rb") as buffer:
msg = BytesParser(policy=policy.default).parse(buffer)
text_txt, html_txt = [], []
# get the email header info
for header, value in msg.items():
text_txt.append(f"{header}: {value}")
# get the email main info
def _add_content(msg, content_type):
def _decode_payload(payload, charset, target_list):
try:
target_list.append(payload.decode(charset))
except (UnicodeDecodeError, LookupError):
for enc in ["utf-8", "gb2312", "gbk", "gb18030", "latin1"]:
try:
target_list.append(payload.decode(enc))
break
except UnicodeDecodeError:
continue
else:
target_list.append(payload.decode("utf-8", errors="ignore"))
if content_type == "text/plain":
payload = msg.get_payload(decode=True)
charset = msg.get_content_charset() or "utf-8"
_decode_payload(payload, charset, text_txt)
elif content_type == "text/html":
payload = msg.get_payload(decode=True)
charset = msg.get_content_charset() or "utf-8"
_decode_payload(payload, charset, html_txt)
elif "multipart" in content_type:
if msg.is_multipart():
for part in msg.iter_parts():
_add_content(part, part.get_content_type())
_add_content(msg, msg.get_content_type())
sections = TxtParser.parser_txt("\n".join(text_txt)) + [(line, "") for line in HtmlParser.parser_txt("\n".join(html_txt), chunk_token_num=parser_config["chunk_token_num"]) if line]
st = timer()
chunks = naive_merge(
sections,
int(parser_config.get("chunk_token_num", 128)),
parser_config.get("delimiter", "\n!?。;!?"),
)
main_res.extend(tokenize_chunks(chunks, doc, eng, None, language=lang))
logging.debug("naive_merge({}): {}".format(filename, timer() - st))
# get the attachment info
for part in msg.iter_attachments():
content_disposition = part.get("Content-Disposition")
if content_disposition:
dispositions = content_disposition.strip().split(";")
if dispositions[0].lower() == "attachment":
filename = part.get_filename()
payload = part.get_payload(decode=True)
try:
attachment_res.extend(naive_chunk(filename, payload, callback=callback, **kwargs))
except Exception:
pass
return main_res + attachment_res
if __name__ == "__main__":
import sys
def dummy(prog=None, msg=""):
pass
chunk(sys.argv[1], callback=dummy)