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Feat: add splitter (#10161)
### What problem does this PR solve? ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Lynn <lynn_inf@hotmail.com> Co-authored-by: chanx <1243304602@qq.com> Co-authored-by: balibabu <cike8899@users.noreply.github.com> Co-authored-by: 纷繁下的无奈 <zhileihuang@126.com> Co-authored-by: huangzl <huangzl@shinemo.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Wilmer <33392318@qq.com> Co-authored-by: Adrian Weidig <adrianweidig@gmx.net> Co-authored-by: Zhichang Yu <yuzhichang@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: Liu An <asiro@qq.com> Co-authored-by: buua436 <66937541+buua436@users.noreply.github.com> Co-authored-by: BadwomanCraZY <511528396@qq.com> Co-authored-by: cucusenok <31804608+cucusenok@users.noreply.github.com> Co-authored-by: Russell Valentine <russ@coldstonelabs.org> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Billy Bao <newyorkupperbay@gmail.com> Co-authored-by: Zhedong Cen <cenzhedong2@126.com> Co-authored-by: TensorNull <129579691+TensorNull@users.noreply.github.com> Co-authored-by: TensorNull <tensor.null@gmail.com>
This commit is contained in:
@ -646,6 +646,7 @@ class Knowledgebase(DataBaseModel):
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vector_similarity_weight = FloatField(default=0.3, index=True)
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parser_id = CharField(max_length=32, null=False, help_text="default parser ID", default=ParserType.NAIVE.value, index=True)
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pipeline_id = CharField(max_length=32, null=True, help_text="Pipeline ID", index=True)
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parser_config = JSONField(null=False, default={"pages": [[1, 1000000]]})
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pagerank = IntegerField(default=0, index=False)
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status = CharField(max_length=1, null=True, help_text="is it validate(0: wasted, 1: validate)", default="1", index=True)
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@ -662,6 +663,7 @@ class Document(DataBaseModel):
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thumbnail = TextField(null=True, help_text="thumbnail base64 string")
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kb_id = CharField(max_length=256, null=False, index=True)
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parser_id = CharField(max_length=32, null=False, help_text="default parser ID", index=True)
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pipeline_id = CharField(max_length=32, null=True, help_text="pipleline ID", index=True)
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parser_config = JSONField(null=False, default={"pages": [[1, 1000000]]})
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source_type = CharField(max_length=128, null=False, default="local", help_text="where dose this document come from", index=True)
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type = CharField(max_length=32, null=False, help_text="file extension", index=True)
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@ -1020,7 +1022,6 @@ def migrate_db():
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migrate(migrator.add_column("dialog", "meta_data_filter", JSONField(null=True, default={})))
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except Exception:
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pass
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try:
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migrate(migrator.alter_column_type("canvas_template", "title", JSONField(null=True, default=dict, help_text="Canvas title")))
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except Exception:
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@ -1037,4 +1038,12 @@ def migrate_db():
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migrate(migrator.add_column("canvas_template", "canvas_category", CharField(max_length=32, null=False, default="agent_canvas", help_text="agent_canvas|dataflow_canvas", index=True)))
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except Exception:
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pass
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try:
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migrate(migrator.add_column("knowledgebase", "pipeline_id", CharField(max_length=32, null=True, help_text="default parser ID", index=True)))
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except Exception:
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pass
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try:
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migrate(migrator.add_column("document", "pipeline_id", CharField(max_length=32, null=True, help_text="default parser ID", index=True)))
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except Exception:
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pass
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logging.disable(logging.NOTSET)
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@ -95,7 +95,7 @@ class UserCanvasService(CommonService):
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@DB.connection_context()
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def get_by_tenant_ids(cls, joined_tenant_ids, user_id,
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page_number, items_per_page,
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orderby, desc, keywords, canvas_category=CanvasCategory.Agent,
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orderby, desc, keywords, canvas_category=None
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):
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fields = [
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cls.model.id,
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@ -122,7 +122,8 @@ class UserCanvasService(CommonService):
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TenantPermission.TEAM.value)) | (
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cls.model.user_id == user_id))
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)
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agents = agents.where(cls.model.canvas_category == canvas_category)
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if canvas_category:
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agents = agents.where(cls.model.canvas_category == canvas_category)
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if desc:
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agents = agents.order_by(cls.model.getter_by(orderby).desc())
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else:
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@ -24,7 +24,7 @@ from io import BytesIO
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import trio
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import xxhash
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from peewee import fn
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from peewee import fn, Case
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from api import settings
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from api.constants import IMG_BASE64_PREFIX, FILE_NAME_LEN_LIMIT
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@ -674,6 +674,53 @@ class DocumentService(CommonService):
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return False
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@classmethod
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@DB.connection_context()
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def knowledgebase_basic_info(cls, kb_id: str) -> dict[str, int]:
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# cancelled: run == "2" but progress can vary
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cancelled = (
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cls.model.select(fn.COUNT(1))
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.where((cls.model.kb_id == kb_id) & (cls.model.run == TaskStatus.CANCEL))
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.scalar()
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)
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row = (
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cls.model.select(
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# finished: progress == 1
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fn.COALESCE(fn.SUM(Case(None, [(cls.model.progress == 1, 1)], 0)), 0).alias("finished"),
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# failed: progress == -1
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fn.COALESCE(fn.SUM(Case(None, [(cls.model.progress == -1, 1)], 0)), 0).alias("failed"),
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# processing: 0 <= progress < 1
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fn.COALESCE(
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fn.SUM(
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Case(
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None,
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[
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(((cls.model.progress == 0) | ((cls.model.progress > 0) & (cls.model.progress < 1))), 1),
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],
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0,
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)
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),
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0,
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).alias("processing"),
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)
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.where(
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(cls.model.kb_id == kb_id)
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& ((cls.model.run.is_null(True)) | (cls.model.run != TaskStatus.CANCEL))
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)
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.dicts()
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.get()
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)
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return {
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"processing": int(row["processing"]),
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"finished": int(row["finished"]),
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"failed": int(row["failed"]),
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"cancelled": int(cancelled),
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}
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def queue_raptor_o_graphrag_tasks(doc, ty, priority):
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chunking_config = DocumentService.get_chunking_config(doc["id"])
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hasher = xxhash.xxh64()
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@ -702,6 +749,8 @@ def queue_raptor_o_graphrag_tasks(doc, ty, priority):
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def get_queue_length(priority):
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group_info = REDIS_CONN.queue_info(get_svr_queue_name(priority), SVR_CONSUMER_GROUP_NAME)
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if not group_info:
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return 0
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return int(group_info.get("lag", 0) or 0)
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@ -847,3 +896,4 @@ def doc_upload_and_parse(conversation_id, file_objs, user_id):
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doc_id, kb.id, token_counts[doc_id], chunk_counts[doc_id], 0)
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return [d["id"] for d, _ in files]
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@ -440,6 +440,7 @@ class FileService(CommonService):
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"id": doc_id,
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"kb_id": kb.id,
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"parser_id": self.get_parser(filetype, filename, kb.parser_id),
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"pipeline_id": kb.pipeline_id,
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"parser_config": kb.parser_config,
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"created_by": user_id,
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"type": filetype,
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@ -472,19 +472,19 @@ def has_canceled(task_id):
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return False
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def queue_dataflow(dsl:str, tenant_id:str, doc_id:str, task_id:str, flow_id:str, priority: int, callback=None) -> tuple[bool, str]:
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def queue_dataflow(dsl:str, tenant_id:str, task_id:str, flow_id:str=None, doc_id:str=None, file:dict=None, priority: int=0, callback=None) -> tuple[bool, str]:
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"""
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Returns a tuple (success: bool, error_message: str).
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"""
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_ = callback
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task = dict(
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id=get_uuid() if not task_id else task_id,
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doc_id=doc_id,
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from_page=0,
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to_page=100000000,
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task_type="dataflow",
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priority=priority,
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id=get_uuid() if not task_id else task_id,
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doc_id=doc_id,
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from_page=0,
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to_page=100000000,
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task_type="dataflow",
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priority=priority,
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)
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TaskService.model.delete().where(TaskService.model.id == task["id"]).execute()
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@ -499,6 +499,7 @@ def queue_dataflow(dsl:str, tenant_id:str, doc_id:str, task_id:str, flow_id:str,
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task["task_type"] = "dataflow"
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task["dsl"] = dsl
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task["dataflow_id"] = get_uuid() if not flow_id else flow_id
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task["file"] = file
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if not REDIS_CONN.queue_product(
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get_svr_queue_name(priority), message=task
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