Add Q&A and Book, fix task running bugs (#50)

api/apps/chunk_app.py

@@ -18,10 +18,12 @@ import datetime
 from flask import request
 from flask_login import login_required, current_user
 from elasticsearch_dsl import Q
+
+from rag.app.qa import rmPrefix, beAdoc
 from rag.nlp import search, huqie, retrievaler
 from rag.utils import ELASTICSEARCH, rmSpace
-from api.db import LLMType
-from api.db.services.kb_service import KnowledgebaseService
+from api.db import LLMType, ParserType
+from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db.services.llm_service import TenantLLMService
 from api.db.services.user_service import UserTenantService
 from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
@@ -89,10 +91,8 @@ def get():
         res["chunk_id"] = id
         k = []
         for n in res.keys():
-            if re.search(r"(_vec$|_sm_)", n):
+            if re.search(r"(_vec$|_sm_|_tks|_ltks)", n):
                 k.append(n)
-            if re.search(r"(_tks|_ltks)", n):
-                res[n] = rmSpace(res[n])
         for n in k:
             del res[n]
 
@@ -106,12 +106,12 @@ def get():
 
 @manager.route('/set', methods=['POST'])
 @login_required
-@validate_request("doc_id", "chunk_id", "content_ltks",
+@validate_request("doc_id", "chunk_id", "content_with_weight",
                   "important_kwd")
 def set():
     req = request.json
     d = {"id": req["chunk_id"]}
-    d["content_ltks"] = huqie.qie(req["content_ltks"])
+    d["content_ltks"] = huqie.qie(req["content_with_weight"])
     d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
     d["important_kwd"] = req["important_kwd"]
     d["important_tks"] = huqie.qie(" ".join(req["important_kwd"]))
@@ -127,8 +127,15 @@ def set():
         e, doc = DocumentService.get_by_id(req["doc_id"])
         if not e:
             return get_data_error_result(retmsg="Document not found!")
+
+        if doc.parser_id == ParserType.QA:
+            arr = [t for t in re.split(r"[\n\t]", req["content_with_weight"]) if len(t)>1]
+            if len(arr) != 2: return get_data_error_result(retmsg="Q&A must be separated by TAB/ENTER key.")
+            q, a = rmPrefix(arr[0]), rmPrefix[arr[1]]
+            d = beAdoc(d, arr[0], arr[1], not any([huqie.is_chinese(t) for t in q+a]))
+
         v, c = embd_mdl.encode([doc.name, req["content_ltks"]])
-        v = 0.1 * v[0] + 0.9 * v[1]
+        v = 0.1 * v[0] + 0.9 * v[1] if doc.parser_id != ParserType.QA else v[1]
         d["q_%d_vec" % len(v)] = v.tolist()
         ELASTICSEARCH.upsert([d], search.index_name(tenant_id))
         return get_json_result(data=True)

api/apps/dialog_app.py

@@ -18,7 +18,7 @@ from flask import request
 from flask_login import login_required, current_user
 from api.db.services.dialog_service import DialogService
 from api.db import StatusEnum
-from api.db.services.kb_service import KnowledgebaseService
+from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db.services.user_service import TenantService
 from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
 from api.utils import get_uuid

api/apps/document_app.py

@@ -27,10 +27,10 @@ from api.db.services.task_service import TaskService
 from rag.nlp import search
 from rag.utils import ELASTICSEARCH
 from api.db.services import duplicate_name
-from api.db.services.kb_service import KnowledgebaseService
+from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
 from api.utils import get_uuid
-from api.db import FileType
+from api.db import FileType, TaskStatus
 from api.db.services.document_service import DocumentService
 from api.settings import RetCode
 from api.utils.api_utils import get_json_result
@@ -210,13 +210,12 @@ def rm():
 @manager.route('/run', methods=['POST'])
 @login_required
 @validate_request("doc_ids", "run")
-def rm():
+def run():
     req = request.json
     try:
         for id in req["doc_ids"]:
-            DocumentService.update_by_id(id, {"run": str(req["run"])})
-            if req["run"] == "2":
-                TaskService.filter_delete([Task.doc_id == id])
+            DocumentService.update_by_id(id, {"run": str(req["run"]), "progress": 0})
+            if str(req["run"]) == TaskStatus.CANCEL.value:
                 tenant_id = DocumentService.get_tenant_id(id)
                 if not tenant_id:
                     return get_data_error_result(retmsg="Tenant not found!")
@@ -284,9 +283,10 @@ def change_parser():
         if doc.parser_id.lower() == req["parser_id"].lower():
             return get_json_result(data=True)
 
-        e = DocumentService.update_by_id(doc.id, {"parser_id": req["parser_id"], "progress":0, "progress_msg": "", "run": 1})
+        e = DocumentService.update_by_id(doc.id, {"parser_id": req["parser_id"], "progress":0, "progress_msg": ""})
         if not e:
             return get_data_error_result(retmsg="Document not found!")
+        if doc.token_num>0:
             e = DocumentService.increment_chunk_num(doc.id, doc.kb_id, doc.token_num*-1, doc.chunk_num*-1, doc.process_duation*-1)
             if not e:
                 return get_data_error_result(retmsg="Document not found!")

api/apps/kb_app.py

@@ -21,7 +21,7 @@ from api.db.services.user_service import TenantService, UserTenantService
 from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
 from api.utils import get_uuid, get_format_time
 from api.db import StatusEnum, UserTenantRole
-from api.db.services.kb_service import KnowledgebaseService
+from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db.db_models import Knowledgebase
 from api.settings import stat_logger, RetCode
 from api.utils.api_utils import get_json_result

api/apps/llm_app.py

@@ -22,7 +22,7 @@ from api.db.services.user_service import TenantService, UserTenantService
 from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
 from api.utils import get_uuid, get_format_time
 from api.db import StatusEnum, UserTenantRole
-from api.db.services.kb_service import KnowledgebaseService
+from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db.db_models import Knowledgebase, TenantLLM
 from api.settings import stat_logger, RetCode
 from api.utils.api_utils import get_json_result

api/db/__init__.py

@@ -61,12 +61,19 @@ class ChatStyle(StrEnum):
     CUSTOM = 'Custom'
 
 
+class TaskStatus(StrEnum):
+    RUNNING = "1"
+    CANCEL = "2"
+    DONE = "3"
+    FAIL = "4"
+
+
 class ParserType(StrEnum):
     GENERAL = "general"
     PRESENTATION = "presentation"
     LAWS = "laws"
     MANUAL = "manual"
     PAPER = "paper"
-    RESUME = ""
-    BOOK = ""
-    QA = ""
+    RESUME = "resume"
+    BOOK = "book"
+    QA = "qa"

api/db/db_utils.py

@@ -33,8 +33,8 @@ def bulk_insert_into_db(model, data_source, replace_on_conflict=False):
     DB.create_tables([model])
 
 
-    for data in data_source:
-        current_time = current_timestamp()
+    for i,data in enumerate(data_source):
+        current_time = current_timestamp() + i
         current_date = timestamp_to_date(current_time)
         if 'create_time' not in data:
             data['create_time'] = current_time

api/db/services/document_service.py

@@ -15,11 +15,11 @@
 #
 from peewee import Expression
 
-from api.db import TenantPermission, FileType
+from api.db import TenantPermission, FileType, TaskStatus
 from api.db.db_models import DB, Knowledgebase, Tenant
 from api.db.db_models import Document
 from api.db.services.common_service import CommonService
-from api.db.services.kb_service import KnowledgebaseService
+from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db import StatusEnum
 
 
@@ -71,6 +71,7 @@ class DocumentService(CommonService):
                 ~(cls.model.type == FileType.VIRTUAL.value),
                 cls.model.progress == 0,
                 cls.model.update_time >= tm,
+                cls.model.run == TaskStatus.RUNNING.value,
                 (Expression(cls.model.create_time, "%%", comm) == mod))\
             .order_by(cls.model.update_time.asc())\
             .paginate(1, items_per_page)

api/db/services/knowledgebase_service.py

@@ -13,13 +13,52 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
-from api.db.db_models import Knowledgebase, Document
+from api.db import StatusEnum, TenantPermission
+from api.db.db_models import Knowledgebase, DB, Tenant
 from api.db.services.common_service import CommonService
 
 
 class KnowledgebaseService(CommonService):
     model = Knowledgebase
 
+    @classmethod
+    @DB.connection_context()
+    def get_by_tenant_ids(cls, joined_tenant_ids, user_id,
+                          page_number, items_per_page, orderby, desc):
+        kbs = cls.model.select().where(
+            ((cls.model.tenant_id.in_(joined_tenant_ids) & (cls.model.permission ==
+             TenantPermission.TEAM.value)) | (cls.model.tenant_id == user_id))
+            & (cls.model.status == StatusEnum.VALID.value)
+        )
+        if desc:
+            kbs = kbs.order_by(cls.model.getter_by(orderby).desc())
+        else:
+            kbs = kbs.order_by(cls.model.getter_by(orderby).asc())
 
-class DocumentService(CommonService):
-    model = Document
+        kbs = kbs.paginate(page_number, items_per_page)
+
+        return list(kbs.dicts())
+
+    @classmethod
+    @DB.connection_context()
+    def get_detail(cls, kb_id):
+        fields = [
+            cls.model.id,
+            Tenant.embd_id,
+            cls.model.avatar,
+            cls.model.name,
+            cls.model.description,
+            cls.model.permission,
+            cls.model.doc_num,
+            cls.model.token_num,
+            cls.model.chunk_num,
+            cls.model.parser_id]
+        kbs = cls.model.select(*fields).join(Tenant, on=((Tenant.id == cls.model.tenant_id)&(Tenant.status== StatusEnum.VALID.value))).where(
+            (cls.model.id == kb_id),
+            (cls.model.status == StatusEnum.VALID.value)
+        )
+        if not kbs:
+            return
+        d = kbs[0].to_dict()
+        d["embd_id"] = kbs[0].tenant.embd_id
+        return d

api/db/services/task_service.py

@@ -15,9 +15,10 @@
 #
 from peewee import Expression
 from api.db.db_models import DB
-from api.db import StatusEnum, FileType
+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
 
 
 class TaskService(CommonService):
@@ -46,8 +47,9 @@ class TaskService(CommonService):
     @DB.connection_context()
     def do_cancel(cls, id):
         try:
-            cls.model.get_by_id(id)
-            return False
+            task = cls.model.get_by_id(id)
+            _, doc = DocumentService.get_by_id(task.doc_id)
+            return doc.run == TaskStatus.CANCEL.value
         except Exception as e:
             pass
         return True

api/utils/file_utils.py

@@ -143,7 +143,7 @@ def filename_type(filename):
     if re.match(r".*\.pdf$", filename):
         return FileType.PDF.value
 
-    if re.match(r".*\.(docx|doc|ppt|pptx|yml|xml|htm|json|csv|txt|ini|xsl|wps|rtf|hlp|pages|numbers|key|md)$", filename):
+    if re.match(r".*\.(docx|doc|ppt|pptx|yml|xml|htm|json|csv|txt|ini|xls|xlsx|wps|rtf|hlp|pages|numbers|key|md)$", filename):
         return FileType.DOC.value
 
     if re.match(r".*\.(wav|flac|ape|alac|wavpack|wv|mp3|aac|ogg|vorbis|opus|mp3)$", filename):

rag/app/__init__.py

@@ -4,14 +4,8 @@ from nltk import word_tokenize
 
 from rag.nlp import stemmer, huqie
 
-
-def callback__(progress, msg, func):
-    if not func :return
-    func(progress, msg)
-
-
 BULLET_PATTERN = [[
-        r"第[零一二三四五六七八九十百]+编",
+        r"第[零一二三四五六七八九十百]+(编|部分)",
         r"第[零一二三四五六七八九十百]+章",
         r"第[零一二三四五六七八九十百]+节",
         r"第[零一二三四五六七八九十百]+条",
@@ -22,6 +16,8 @@ BULLET_PATTERN = [[
         r"[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}",
         r"[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}",
     ], [
+        r"第[零一二三四五六七八九十百]+章",
+        r"第[零一二三四五六七八九十百]+节",
         r"[零一二三四五六七八九十百]+[ 、]",
         r"[\(（][零一二三四五六七八九十百]+[\)）]",
         r"[\(（][0-9]{,2}[\)）]",
@@ -54,7 +50,7 @@ def bullets_category(sections):
 def is_english(texts):
     eng = 0
     for t in texts:
-        if re.match(r"[a-zA-Z]", t.strip()):
+        if re.match(r"[a-zA-Z]{2,}", t.strip()):
             eng += 1
     if eng / len(texts) > 0.8:
         return True
@@ -70,3 +66,26 @@ def tokenize(d, t, eng):
         d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
 
 
+def remove_contents_table(sections, eng=False):
+    i = 0
+    while i < len(sections):
+        def get(i):
+            nonlocal sections
+            return (sections[i] if type(sections[i]) == type("") else sections[i][0]).strip()
+        if not re.match(r"(contents|目录|目次|table of contents|致谢|acknowledge)$", re.sub(r"( | |\u3000)+", "", get(i).split("@@")[0], re.IGNORECASE)):
+            i += 1
+            continue
+        sections.pop(i)
+        if i >= len(sections): break
+        prefix = get(i)[:3] if not eng else " ".join(get(i).split(" ")[:2])
+        while not prefix:
+            sections.pop(i)
+            if i >= len(sections): break
+            prefix = get(i)[:3] if not eng else " ".join(get(i).split(" ")[:2])
+        sections.pop(i)
+        if i >= len(sections) or not prefix: break
+        for j in range(i, min(i+128, len(sections))):
+            if not re.match(prefix, get(j)):
+                continue
+            for _ in range(i, j):sections.pop(i)
+            break

rag/app/book.py

@@ -0,0 +1,156 @@
+import copy
+import random
+import re
+from io import BytesIO
+from docx import Document
+import numpy as np
+from rag.app import bullets_category, BULLET_PATTERN, is_english, tokenize, remove_contents_table
+from rag.nlp import huqie
+from rag.parser.docx_parser import HuDocxParser
+from rag.parser.pdf_parser import HuParser
+
+
+class Pdf(HuParser):
+    def __call__(self, filename, binary=None, from_page=0,
+                 to_page=100000, zoomin=3, callback=None):
+        self.__images__(
+            filename if not binary else binary,
+            zoomin,
+            from_page,
+            to_page)
+        callback(0.1, "OCR finished")
+
+        from timeit import default_timer as timer
+        start = timer()
+        self._layouts_paddle(zoomin)
+        callback(0.47, "Layout analysis finished")
+        print("paddle layouts:", timer() - start)
+        self._table_transformer_job(zoomin)
+        callback(0.68, "Table analysis finished")
+        self._text_merge()
+        column_width = np.median([b["x1"] - b["x0"] for b in self.boxes])
+        self._concat_downward(concat_between_pages=False)
+        self._filter_forpages()
+        self._merge_with_same_bullet()
+        callback(0.75, "Text merging finished.")
+        tbls = self._extract_table_figure(True, zoomin, False)
+
+        callback(0.8, "Text extraction finished")
+
+        return [(b["text"] + self._line_tag(b, zoomin), b.get("layoutno","")) for b in self.boxes]
+
+
+def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
+    doc = {
+        "docnm_kwd": filename,
+        "title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
+    }
+    doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
+    pdf_parser = None
+    sections,tbls = [], []
+    if re.search(r"\.docx?$", filename, re.IGNORECASE):
+        callback(0.1, "Start to parse.")
+        doc_parser = HuDocxParser()
+        # TODO: table of contents need to be removed
+        sections, tbls = doc_parser(binary if binary else filename)
+        remove_contents_table(sections, eng = is_english(random.choices([t for t,_ in sections], k=200)))
+        callback(0.8, "Finish parsing.")
+    elif re.search(r"\.pdf$", filename, re.IGNORECASE):
+        pdf_parser = Pdf()
+        sections,tbls = pdf_parser(filename if not binary else binary,
+                         from_page=from_page, to_page=to_page, callback=callback)
+    elif re.search(r"\.txt$", filename, re.IGNORECASE):
+        callback(0.1, "Start to parse.")
+        txt = ""
+        if binary:txt = binary.decode("utf-8")
+        else:
+            with open(filename, "r") as f:
+                while True:
+                    l = f.readline()
+                    if not l:break
+                    txt += l
+            sections = txt.split("\n")
+        sections = [(l,"") for l in sections if l]
+        remove_contents_table(sections, eng = is_english(random.choices([t for t,_ in sections], k=200)))
+        callback(0.8, "Finish parsing.")
+    else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
+
+    bull = bullets_category([b["text"] for b in random.choices([t for t,_ in sections], k=100)])
+    projs = [len(BULLET_PATTERN[bull]) + 1] * len(sections)
+    levels = [[]] * len(BULLET_PATTERN[bull]) + 2
+    for i, (txt, layout) in enumerate(sections):
+        for j, p in enumerate(BULLET_PATTERN[bull]):
+            if re.match(p, txt.strip()):
+                projs[i] = j
+                levels[j].append(i)
+                break
+        else:
+            if re.search(r"(title|head)", layout):
+                projs[i] = BULLET_PATTERN[bull]
+                levels[BULLET_PATTERN[bull]].append(i)
+            else:
+                levels[BULLET_PATTERN[bull] + 1].append(i)
+    sections = [t for t,_ in sections]
+
+    def binary_search(arr, target):
+        if target > arr[-1]: return len(arr) - 1
+        if target > arr[0]: return -1
+        s, e = 0, len(arr)
+        while e - s > 1:
+            i = (e + s) // 2
+            if target > arr[i]:
+                s = i
+                continue
+            elif target < arr[i]:
+                e = i
+                continue
+            else:
+                assert False
+        return s
+
+    cks = []
+    readed = [False] * len(sections)
+    levels = levels[::-1]
+    for i, arr in enumerate(levels):
+        for j in arr:
+            if readed[j]: continue
+            readed[j] = True
+            cks.append([j])
+            if i + 1 == len(levels) - 1: continue
+            for ii in range(i + 1, len(levels)):
+                jj = binary_search(levels[ii], j)
+                if jj < 0: break
+                if jj > cks[-1][-1]: cks[-1].pop(-1)
+                cks[-1].append(levels[ii][jj])
+
+    # is it English
+    eng = is_english(random.choices(sections, k=218))
+
+    res = []
+    # add tables
+    for img, rows in tbls:
+        bs = 10
+        de = ";" if eng else "；"
+        for i in range(0, len(rows), bs):
+            d = copy.deepcopy(doc)
+            r = de.join(rows[i:i + bs])
+            r = re.sub(r"\t——(来自| in ).*”%s" % de, "", r)
+            tokenize(d, r, eng)
+            d["image"] = img
+            res.append(d)
+    # wrap up to es documents
+    for ck in cks:
+        print("\n-".join(ck[::-1]))
+        ck = "\n".join(ck[::-1])
+        d = copy.deepcopy(doc)
+        if pdf_parser:
+            d["image"] = pdf_parser.crop(ck)
+            ck = pdf_parser.remove_tag(ck)
+        tokenize(d, ck, eng)
+        res.append(d)
+    return res
+
+
+if __name__ == "__main__":
+    import sys
+    chunk(sys.argv[1])

rag/app/laws.py

@@ -3,7 +3,7 @@ import re
 from io import BytesIO
 from docx import Document
 import numpy as np
-from rag.app import callback__, bullets_category, BULLET_PATTERN, is_english, tokenize
+from rag.app import bullets_category, BULLET_PATTERN, is_english, tokenize
 from rag.nlp import huqie
 from rag.parser.docx_parser import HuDocxParser
 from rag.parser.pdf_parser import HuParser
@@ -32,12 +32,12 @@ class Pdf(HuParser):
             zoomin,
             from_page,
             to_page)
-        callback__(0.1, "OCR finished", callback)
+        callback(0.1, "OCR finished")
 
         from timeit import default_timer as timer
         start = timer()
         self._layouts_paddle(zoomin)
-        callback__(0.77, "Layout analysis finished", callback)
+        callback(0.77, "Layout analysis finished")
         print("paddle layouts:", timer()-start)
         bxs = self.sort_Y_firstly(self.boxes, np.median(self.mean_height) / 3)
         # is it English
@@ -75,7 +75,7 @@ class Pdf(HuParser):
             b["x1"] = max(b["x1"], b_["x1"])
             bxs.pop(i + 1)
 
-        callback__(0.8, "Text extraction finished", callback)
+        callback(0.8, "Text extraction finished")
 
         return [b["text"] + self._line_tag(b, zoomin) for b in bxs]
 
@@ -89,17 +89,17 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
     pdf_parser = None
     sections = []
     if re.search(r"\.docx?$", filename, re.IGNORECASE):
-        callback__(0.1, "Start to parse.", callback)
+        callback(0.1, "Start to parse.")
         for txt in Docx()(filename, binary):
             sections.append(txt)
-        callback__(0.8, "Finish parsing.", callback)
+        callback(0.8, "Finish parsing.")
     elif re.search(r"\.pdf$", filename, re.IGNORECASE):
         pdf_parser = Pdf()
         for txt in pdf_parser(filename if not binary else binary,
                          from_page=from_page, to_page=to_page, callback=callback):
             sections.append(txt)
     elif re.search(r"\.txt$", filename, re.IGNORECASE):
-        callback__(0.1, "Start to parse.", callback)
+        callback(0.1, "Start to parse.")
         txt = ""
         if binary:txt = binary.decode("utf-8")
         else:
@@ -110,7 +110,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
                     txt += l
             sections = txt.split("\n")
         sections = [l for l in sections if l]
-        callback__(0.8, "Finish parsing.", callback)
+        callback(0.8, "Finish parsing.")
     else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
 
     # is it English
@@ -118,7 +118,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
     # Remove 'Contents' part
     i = 0
     while i < len(sections):
-        if not re.match(r"(Contents|目录|目次)$", re.sub(r"( | |\u3000)+", "", sections[i].split("@@")[0])):
+        if not re.match(r"(contents|目录|目次|table of contents)$", re.sub(r"( | |\u3000)+", "", sections[i].split("@@")[0], re.IGNORECASE)):
             i += 1
             continue
         sections.pop(i)
@@ -133,7 +133,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
         for j in range(i, min(i+128, len(sections))):
             if not re.match(prefix, sections[j]):
                 continue
-            for k in range(i, j):sections.pop(i)
+            for _ in range(i, j):sections.pop(i)
             break
 
     bull = bullets_category(sections)

rag/app/manual.py

@@ -1,6 +1,6 @@
 import copy
 import re
-from rag.app import callback__, tokenize
+from rag.app import tokenize
 from rag.nlp import huqie
 from rag.parser.pdf_parser import HuParser
 from rag.utils import num_tokens_from_string
@@ -14,19 +14,19 @@ class Pdf(HuParser):
             zoomin,
             from_page,
             to_page)
-        callback__(0.2, "OCR finished.", callback)
+        callback(0.2, "OCR finished.")
 
         from timeit import default_timer as timer
         start = timer()
         self._layouts_paddle(zoomin)
-        callback__(0.5, "Layout analysis finished.", callback)
+        callback(0.5, "Layout analysis finished.")
         print("paddle layouts:", timer() - start)
         self._table_transformer_job(zoomin)
-        callback__(0.7, "Table analysis finished.", callback)
+        callback(0.7, "Table analysis finished.")
         self._text_merge()
         self._concat_downward(concat_between_pages=False)
         self._filter_forpages()
-        callback__(0.77, "Text merging finished", callback)
+        callback(0.77, "Text merging finished")
         tbls = self._extract_table_figure(True, zoomin, False)
 
         # clean mess
@@ -34,20 +34,8 @@ class Pdf(HuParser):
             b["text"] = re.sub(r"([\t 　]|\u3000){2,}", " ", b["text"].strip())
 
         # merge chunks with the same bullets
-        i = 0
-        while i + 1 < len(self.boxes):
-            b = self.boxes[i]
-            b_ = self.boxes[i + 1]
-            if b["text"].strip()[0] != b_["text"].strip()[0] \
-                    or b["page_number"]!=b_["page_number"] \
-                    or b["top"] > b_["bottom"]:
-                i += 1
-                continue
-            b_["text"] = b["text"] + "\n" + b_["text"]
-            b_["x0"] = min(b["x0"], b_["x0"])
-            b_["x1"] = max(b["x1"], b_["x1"])
-            b_["top"] = b["top"]
-            self.boxes.pop(i)
+        self._merge_with_same_bullet()
+
         # merge title with decent chunk
         i = 0
         while i + 1 < len(self.boxes):
@@ -62,7 +50,7 @@ class Pdf(HuParser):
             b_["top"] = b["top"]
             self.boxes.pop(i)
 
-        callback__(0.8, "Parsing finished", callback)
+        callback(0.8, "Parsing finished")
         for b in self.boxes: print(b["text"], b.get("layoutno"))
 
         print(tbls)

rag/app/paper.py

@@ -1,11 +1,9 @@
 import copy
 import re
 from collections import Counter
-from rag.app import callback__, bullets_category, BULLET_PATTERN, is_english, tokenize
-from rag.nlp import huqie, stemmer
-from rag.parser.docx_parser import HuDocxParser
+from rag.app import tokenize
+from rag.nlp import huqie
 from rag.parser.pdf_parser import HuParser
-from nltk.tokenize import word_tokenize
 import numpy as np
 from rag.utils import num_tokens_from_string
 
@@ -18,20 +16,20 @@ class Pdf(HuParser):
             zoomin,
             from_page,
             to_page)
-        callback__(0.2, "OCR finished.", callback)
+        callback(0.2, "OCR finished.")
 
         from timeit import default_timer as timer
         start = timer()
         self._layouts_paddle(zoomin)
-        callback__(0.47, "Layout analysis finished", callback)
+        callback(0.47, "Layout analysis finished")
         print("paddle layouts:", timer() - start)
         self._table_transformer_job(zoomin)
-        callback__(0.68, "Table analysis finished", callback)
+        callback(0.68, "Table analysis finished")
         self._text_merge()
         column_width = np.median([b["x1"] - b["x0"] for b in self.boxes])
         self._concat_downward(concat_between_pages=False)
         self._filter_forpages()
-        callback__(0.75, "Text merging finished.", callback)
+        callback(0.75, "Text merging finished.")
         tbls = self._extract_table_figure(True, zoomin, False)
 
         # clean mess
@@ -101,7 +99,7 @@ class Pdf(HuParser):
                 break
         if not abstr: i = 0
 
-        callback__(0.8, "Page {}~{}: Text merging finished".format(from_page, min(to_page, self.total_page)), callback)
+        callback(0.8, "Page {}~{}: Text merging finished".format(from_page, min(to_page, self.total_page)))
         for b in self.boxes: print(b["text"], b.get("layoutno"))
         print(tbls)
 

rag/app/presentation.py

@@ -3,7 +3,7 @@ import re
 from io import BytesIO
 from pptx import Presentation
 
-from rag.app import callback__, tokenize, is_english
+from rag.app import tokenize, is_english
 from rag.nlp import huqie
 from rag.parser.pdf_parser import HuParser
 
@@ -43,7 +43,7 @@ class Ppt(object):
                 if txt: texts.append(txt)
             txts.append("\n".join(texts))
 
-        callback__(0.5, "Text extraction finished.", callback)
+        callback(0.5, "Text extraction finished.")
         import aspose.slides as slides
         import aspose.pydrawing as drawing
         imgs = []
@@ -53,7 +53,7 @@ class Ppt(object):
                 slide.get_thumbnail(0.5, 0.5).save(buffered, drawing.imaging.ImageFormat.jpeg)
                 imgs.append(buffered.getvalue())
         assert len(imgs) == len(txts), "Slides text and image do not match: {} vs. {}".format(len(imgs), len(txts))
-        callback__(0.9, "Image extraction finished", callback)
+        callback(0.9, "Image extraction finished")
         self.is_english = is_english(txts)
         return [(txts[i], imgs[i]) for i in range(len(txts))]
 
@@ -70,7 +70,7 @@ class Pdf(HuParser):
 
     def __call__(self, filename, binary=None, from_page=0, to_page=100000, zoomin=3, callback=None):
         self.__images__(filename if not binary else binary, zoomin, from_page, to_page)
-        callback__(0.8, "Page {}~{}: OCR finished".format(from_page, min(to_page, self.total_page)), callback)
+        callback(0.8, "Page {}~{}: OCR finished".format(from_page, min(to_page, self.total_page)))
         assert len(self.boxes) == len(self.page_images), "{} vs. {}".format(len(self.boxes), len(self.page_images))
         res = []
         #################### More precisely ###################
@@ -89,7 +89,7 @@ class Pdf(HuParser):
         for i in range(len(self.boxes)):
             lines = "\n".join([b["text"] for b in self.boxes[i] if not self.__garbage(b["text"])])
             res.append((lines, self.page_images[i]))
-        callback__(0.9, "Page {}~{}: Parsing finished".format(from_page, min(to_page, self.total_page)), callback)
+        callback(0.9, "Page {}~{}: Parsing finished".format(from_page, min(to_page, self.total_page)))
         return res
 
 

rag/app/qa.py

@@ -0,0 +1,104 @@
+import random
+import re
+from io import BytesIO
+from nltk import word_tokenize
+from openpyxl import load_workbook
+from rag.app import is_english
+from rag.nlp import huqie, stemmer
+
+
+class Excel(object):
+    def __call__(self, fnm, binary=None, callback=None):
+        if not binary:
+            wb = load_workbook(fnm)
+        else:
+            wb = load_workbook(BytesIO(binary))
+        total = 0
+        for sheetname in wb.sheetnames:
+            total += len(list(wb[sheetname].rows))
+
+        res, fails = [], []
+        for sheetname in wb.sheetnames:
+            ws = wb[sheetname]
+            rows = list(ws.rows)
+            for i, r in enumerate(rows):
+                q, a = "", ""
+                for cell in r:
+                    if not cell.value: continue
+                    if not q: q = str(cell.value)
+                    elif not a: a = str(cell.value)
+                    else: break
+                if q and a: res.append((q, a))
+                else: fails.append(str(i+1))
+                if len(res) % 999 == 0:
+                    callback(len(res)*0.6/total, ("Extract Q&A: {}".format(len(res)) + (f"{len(fails)} failure, line: %s..."%(",".join(fails[:3])) if fails else "")))
+
+        callback(0.6, ("Extract Q&A: {}".format(len(res)) + (
+            f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
+        self.is_english = is_english([rmPrefix(q) for q, _ in random.choices(res, k=30) if len(q)>1])
+        return res
+
+
+def rmPrefix(txt):
+    return re.sub(r"^(问题|答案|回答|user|assistant|Q|A|Question|Answer|问|答)[\t:： ]+", "", txt.strip(), flags=re.IGNORECASE)
+
+
+def beAdoc(d, q, a, eng):
+    qprefix = "Question: " if eng else "问题："
+    aprefix = "Answer: " if eng else "回答："
+    d["content_with_weight"] = "\t".join([qprefix+rmPrefix(q), aprefix+rmPrefix(a)])
+    if eng:
+        d["content_ltks"] = " ".join([stemmer.stem(w) for w in word_tokenize(q)])
+    else:
+        d["content_ltks"] = huqie.qie(q)
+        d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
+    return d
+
+
+def chunk(filename, binary=None,  from_page=0, to_page=100000, callback=None):
+
+    res = []
+    if re.search(r"\.xlsx?$", filename, re.IGNORECASE):
+        callback(0.1, "Start to parse.")
+        excel_parser = Excel()
+        for q,a in excel_parser(filename, binary, callback):
+            res.append(beAdoc({}, q, a, excel_parser.is_english))
+        return res
+    elif re.search(r"\.(txt|csv)$", filename, re.IGNORECASE):
+        callback(0.1, "Start to parse.")
+        txt = ""
+        if binary:
+            txt = binary.decode("utf-8")
+        else:
+            with open(filename, "r") as f:
+                while True:
+                    l = f.readline()
+                    if not l: break
+                    txt += l
+        lines = txt.split("\n")
+        eng = is_english([rmPrefix(l) for l in lines[:100]])
+        fails = []
+        for i, line in enumerate(lines):
+            arr = [l for l in line.split("\t") if len(l) > 1]
+            if len(arr) != 2:
+                fails.append(str(i))
+                continue
+            res.append(beAdoc({}, arr[0], arr[1], eng))
+            if len(res) % 999 == 0:
+                callback(len(res) * 0.6 / len(lines), ("Extract Q&A: {}".format(len(res)) + (
+                    f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
+
+        callback(0.6, ("Extract Q&A: {}".format(len(res)) + (
+            f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
+
+        return res
+
+    raise NotImplementedError("file type not supported yet(pptx, pdf supported)")
+
+
+if __name__== "__main__":
+    import sys
+    def kk(rat, ss):
+        pass
+    print(chunk(sys.argv[1], callback=kk))
+

rag/parser/pdf_parser.py

@@ -763,7 +763,7 @@ class HuParser:
             return
         i = 0
         while i < len(self.boxes):
-            if not re.match(r"(contents|目录|目次|table of contents)$", re.sub(r"( | |\u3000)+", "", self.boxes[i]["text"].lower())):
+            if not re.match(r"(contents|目录|目次|table of contents|致谢|acknowledge)$", re.sub(r"( | |\u3000)+", "", self.boxes[i]["text"].lower())):
                 i += 1
                 continue
             eng = re.match(r"[0-9a-zA-Z :'.-]{5,}", self.boxes[i]["text"].strip())
@@ -782,6 +782,22 @@ class HuParser:
                 for k in range(i, j): self.boxes.pop(i)
                 break
 
+    def _merge_with_same_bullet(self):
+        i = 0
+        while i + 1 < len(self.boxes):
+            b = self.boxes[i]
+            b_ = self.boxes[i + 1]
+            if b["text"].strip()[0] != b_["text"].strip()[0] \
+                    or b["text"].strip()[0].lower() in set("qwertyuopasdfghjklzxcvbnm") \
+                    or b["top"] > b_["bottom"]:
+                i += 1
+                continue
+            b_["text"] = b["text"] + "\n" + b_["text"]
+            b_["x0"] = min(b["x0"], b_["x0"])
+            b_["x1"] = max(b["x1"], b_["x1"])
+            b_["top"] = b["top"]
+            self.boxes.pop(i)
+
     def _blockType(self, b):
         patt = [
             ("^(20|19)[0-9]{2}[年/-][0-9]{1,2}[月/-][0-9]{1,2}日*$", "Dt"),

rag/svr/task_broker.py

@@ -17,7 +17,7 @@ import logging
 import os
 import time
 import random
-from timeit import default_timer as timer
+from datetime import datetime
 from api.db.db_models import Task
 from api.db.db_utils import bulk_insert_into_db
 from api.db.services.task_service import TaskService
@@ -26,7 +26,7 @@ from rag.settings import cron_logger
 from rag.utils import MINIO
 from rag.utils import findMaxTm
 import pandas as pd
-from api.db import FileType
+from api.db import FileType, TaskStatus
 from api.db.services.document_service import DocumentService
 from api.settings import database_logger
 from api.utils import get_format_time, get_uuid
@@ -105,15 +105,23 @@ def update_progress():
             prg = 0
             finished = True
             bad = 0
+            status = TaskStatus.RUNNING.value
             for t in tsks:
                 if 0 <= t.progress < 1: finished = False
                 prg += t.progress if t.progress >= 0 else 0
                 msg.append(t.progress_msg)
                 if t.progress == -1: bad += 1
             prg /= len(tsks)
-            if finished and bad: prg = -1
+            if finished and bad:
+                prg = -1
+                status = TaskStatus.FAIL.value
+            elif finished: status = TaskStatus.DONE.value
+
             msg = "\n".join(msg)
-            DocumentService.update_by_id(d["id"], {"progress": prg, "progress_msg": msg, "process_duation": timer()-d["process_begin_at"].timestamp()})
+            info = {"process_duation": datetime.timestamp(datetime.now())-d["process_begin_at"].timestamp(), "run": status}
+            if prg !=0 : info["progress"] = prg
+            if msg: info["progress_msg"] = msg
+            DocumentService.update_by_id(d["id"], info)
         except Exception as e:
             cron_logger.error("fetch task exception:" + str(e))
 

rag/svr/task_executor.py

@@ -24,8 +24,9 @@ import sys
 from functools import partial
 from timeit import default_timer as timer
 
+from elasticsearch_dsl import Q
+
 from api.db.services.task_service import TaskService
-from rag.llm import EmbeddingModel, CvModel
 from rag.settings import cron_logger, DOC_MAXIMUM_SIZE
 from rag.utils import ELASTICSEARCH
 from rag.utils import MINIO
@@ -35,7 +36,7 @@ from rag.nlp import search
 from io import BytesIO
 import pandas as pd
 
-from rag.app import laws, paper, presentation, manual
+from rag.app import laws, paper, presentation, manual, qa
 
 from api.db import LLMType, ParserType
 from api.db.services.document_service import DocumentService
@@ -51,13 +52,14 @@ FACTORY = {
     ParserType.PRESENTATION.value: presentation,
     ParserType.MANUAL.value: manual,
     ParserType.LAWS.value: laws,
+    ParserType.QA.value: qa,
 }
 
 
 def set_progress(task_id, from_page, to_page, prog=None, msg="Processing..."):
     cancel = TaskService.do_cancel(task_id)
     if cancel:
-        msg = "Canceled."
+        msg += " [Canceled]"
         prog = -1
 
     if to_page > 0: msg = f"Page({from_page}~{to_page}): " + msg
@@ -166,13 +168,16 @@ def init_kb(row):
 
 
 def embedding(docs, mdl):
-    tts, cnts = [d["docnm_kwd"] for d in docs], [d["content_with_weight"] for d in docs]
+    tts, cnts = [d["docnm_kwd"] for d in docs if d.get("docnm_kwd")], [d["content_with_weight"] for d in docs]
     tk_count = 0
+    if len(tts) == len(cnts):
         tts, c = mdl.encode(tts)
         tk_count += c
+
     cnts, c = mdl.encode(cnts)
     tk_count += c
-    vects = 0.1 * tts + 0.9 * cnts
+    vects = (0.1 * tts + 0.9 * cnts) if len(tts) == len(cnts) else cnts
+
     assert len(vects) == len(docs)
     for i, d in enumerate(docs):
         v = vects[i].tolist()
@@ -215,12 +220,14 @@ def main(comm, mod):
         callback(msg="Finished embedding! Start to build index!")
         init_kb(r)
         chunk_count = len(set([c["_id"] for c in cks]))
-        callback(1., "Done!")
         es_r = ELASTICSEARCH.bulk(cks, search.index_name(r["tenant_id"]))
         if es_r:
             callback(-1, "Index failure!")
             cron_logger.error(str(es_r))
         else:
+            if TaskService.do_cancel(r["id"]):
+                ELASTICSEARCH.deleteByQuery(Q("match", doc_id=r["doc_id"]), idxnm=search.index_name(r["tenant_id"]))
+            callback(1., "Done!")
             DocumentService.increment_chunk_num(r["doc_id"], r["kb_id"], tk_count, chunk_count, 0)
             cron_logger.info("Chunk doc({}), token({}), chunks({})".format(r["id"], tk_count, len(cks)))