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#
# Copyright 2024 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 os
import random
from api.db.db_utils import bulk_insert_into_db
from deepdoc.parser import PdfParser
from peewee import JOIN
from api.db.db_models import DB, File2Document, File
from api.db import StatusEnum, FileType, TaskStatus
from api.db.db_models import Task, Document, Knowledgebase, Tenant
from api.db.services.common_service import CommonService
from api.db.services.document_service import DocumentService
from api.utils import current_timestamp, get_uuid
from deepdoc.parser.excel_parser import RAGFlowExcelParser
from rag.settings import SVR_QUEUE_NAME
from rag.utils.minio_conn import MINIO
from rag.utils.redis_conn import REDIS_CONN
class TaskService(CommonService):
model = Task
@classmethod
@DB.connection_context()
def get_tasks(cls, task_id):
fields = [
cls.model.id,
cls.model.doc_id,
cls.model.from_page,
cls.model.to_page,
Document.kb_id,
Document.parser_id,
Document.parser_config,
Document.name,
Document.type,
Document.location,
Document.size,
Knowledgebase.tenant_id,
Knowledgebase.language,
Knowledgebase.embd_id,
Tenant.img2txt_id,
Tenant.asr_id,
Tenant.llm_id,
cls.model.update_time]
docs = cls.model.select(*fields) \
.join(Document, on=(cls.model.doc_id == Document.id)) \
.join(Knowledgebase, on=(Document.kb_id == Knowledgebase.id)) \
.join(Tenant, on=(Knowledgebase.tenant_id == Tenant.id)) \
.where(cls.model.id == task_id)
docs = list(docs.dicts())
if not docs: return []
cls.model.update(progress_msg=cls.model.progress_msg + "\n" + "Task has been received.",
progress=random.random() / 10.).where(
cls.model.id == docs[0]["id"]).execute()
return docs
@classmethod
@DB.connection_context()
def get_ongoing_doc_name(cls):
with DB.lock("get_task", -1):
docs = cls.model.select(*[Document.id, Document.kb_id, Document.location, File.parent_id]) \
.join(Document, on=(cls.model.doc_id == Document.id)) \
.join(File2Document, on=(File2Document.document_id == Document.id), join_type=JOIN.LEFT_OUTER) \
.join(File, on=(File2Document.file_id == File.id), join_type=JOIN.LEFT_OUTER) \
.where(
Document.status == StatusEnum.VALID.value,
Document.run == TaskStatus.RUNNING.value,
~(Document.type == FileType.VIRTUAL.value),
cls.model.progress < 1,
cls.model.create_time >= current_timestamp() - 1000 * 600
)
docs = list(docs.dicts())
if not docs: return []
return list(set([(d["parent_id"] if d["parent_id"] else d["kb_id"], d["location"]) for d in docs]))
@classmethod
@DB.connection_context()
def do_cancel(cls, id):
try:
task = cls.model.get_by_id(id)
_, doc = DocumentService.get_by_id(task.doc_id)
return doc.run == TaskStatus.CANCEL.value or doc.progress < 0
except Exception as e:
pass
return False
@classmethod
@DB.connection_context()
def update_progress(cls, id, info):
if os.environ.get("MACOS"):
if info["progress_msg"]:
cls.model.update(progress_msg=cls.model.progress_msg + "\n" + info["progress_msg"]).where(
cls.model.id == id).execute()
if "progress" in info:
cls.model.update(progress=info["progress"]).where(
cls.model.id == id).execute()
return
with DB.lock("update_progress", -1):
if info["progress_msg"]:
cls.model.update(progress_msg=cls.model.progress_msg + "\n" + info["progress_msg"]).where(
cls.model.id == id).execute()
if "progress" in info:
cls.model.update(progress=info["progress"]).where(
cls.model.id == id).execute()
def queue_tasks(doc, bucket, name):
def new_task():
nonlocal doc
return {
"id": get_uuid(),
"doc_id": doc["id"]
}
tsks = []
if doc["type"] == FileType.PDF.value:
file_bin = MINIO.get(bucket, name)
do_layout = doc["parser_config"].get("layout_recognize", True)
pages = PdfParser.total_page_number(doc["name"], file_bin)
page_size = doc["parser_config"].get("task_page_size", 12)
if doc["parser_id"] == "paper":
page_size = doc["parser_config"].get("task_page_size", 22)
if doc["parser_id"] == "one":
page_size = 1000000000
if doc["parser_id"] == "knowledge_graph":
page_size = 1000000000
if not do_layout:
page_size = 1000000000
page_ranges = doc["parser_config"].get("pages")
if not page_ranges:
page_ranges = [(1, 100000)]
for s, e in page_ranges:
s -= 1
s = max(0, s)
e = min(e - 1, pages)
for p in range(s, e, page_size):
task = new_task()
task["from_page"] = p
task["to_page"] = min(p + page_size, e)
tsks.append(task)
elif doc["parser_id"] == "table":
file_bin = MINIO.get(bucket, name)
rn = RAGFlowExcelParser.row_number(
doc["name"], file_bin)
for i in range(0, rn, 3000):
task = new_task()
task["from_page"] = i
task["to_page"] = min(i + 3000, rn)
tsks.append(task)
else:
tsks.append(new_task())
bulk_insert_into_db(Task, tsks, True)
DocumentService.begin2parse(doc["id"])
for t in tsks:
assert REDIS_CONN.queue_product(SVR_QUEUE_NAME, message=t), "Can't access Redis. Please check the Redis' status."
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