AI/dify
1
0
Fork 0
mirror of https://git.mirrors.martin98.com/https://github.com/langgenius/dify.git synced 2025-08-12 08:28:57 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix customer spliter character (#1915)

Browse Source 
Co-authored-by: jyong <jyong@dify.ai>
This commit is contained in:
Jyong 2024-01-04 16:21:48 +08:00 committed by GitHub
parent a798dcfae9
commit 4a3d15b6de
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 12 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
api/core/data_loader/file_extractor.py
View File

@ -65,7 +65,8 @@ class FileExtractor:
elif file_extension == '.pdf':
loader = PdfLoader(file_path, upload_file=upload_file)
elif file_extension in ['.md', '.markdown']:
loader = UnstructuredMarkdownLoader(file_path, unstructured_api_url)
loader = UnstructuredMarkdownLoader(file_path, unstructured_api_url) if is_automatic \
else MarkdownLoader(file_path, autodetect_encoding=True)
elif file_extension in ['.htm', '.html']:
loader = HTMLLoader(file_path)
elif file_extension == '.docx':
@ -84,7 +85,8 @@ class FileExtractor:
loader = UnstructuredXmlLoader(file_path, unstructured_api_url)
else:
# txt
loader = UnstructuredTextLoader(file_path, unstructured_api_url)
loader = UnstructuredTextLoader(file_path, unstructured_api_url) if is_automatic \
else TextLoader(file_path, autodetect_encoding=True)
else:
if file_extension == '.xlsx':
loader = ExcelLoader(file_path)

16
api/core/indexing_runner.py
View File

@ -59,7 +59,7 @@ class IndexingRunner:
first()
# load file
text_docs = self._load_data(dataset_document)
text_docs = self._load_data(dataset_document, processing_rule.mode == 'automatic')
# get splitter
splitter = self._get_splitter(processing_rule)
@ -113,15 +113,14 @@ class IndexingRunner:
for document_segment in document_segments:
db.session.delete(document_segment)
db.session.commit()
# load file
text_docs = self._load_data(dataset_document)
# get the process rule
processing_rule = db.session.query(DatasetProcessRule). \
filter(DatasetProcessRule.id == dataset_document.dataset_process_rule_id). \
first()
# load file
text_docs = self._load_data(dataset_document, processing_rule.mode == 'automatic')
# get splitter
splitter = self._get_splitter(processing_rule)
@ -238,14 +237,15 @@ class IndexingRunner:
preview_texts = []
total_segments = 0
for file_detail in file_details:
# load data from file
text_docs = FileExtractor.load(file_detail)
processing_rule = DatasetProcessRule(
mode=tmp_processing_rule["mode"],
rules=json.dumps(tmp_processing_rule["rules"])
)
# load data from file
text_docs = FileExtractor.load(file_detail, is_automatic=processing_rule.mode == 'automatic')
# get splitter
splitter = self._get_splitter(processing_rule)
@ -459,7 +459,7 @@ class IndexingRunner:
one_or_none()
if file_detail:
text_docs = FileExtractor.load(file_detail, is_automatic=True)
text_docs = FileExtractor.load(file_detail, is_automatic=automatic)
elif dataset_document.data_source_type == 'notion_import':
loader = NotionLoader.from_document(dataset_document)
text_docs = loader.load()