diff --git a/api/apps/chunk_app.py b/api/apps/chunk_app.py
index 1ead64545b772014efbbea4717992d5ce614baf9..2d8aeb006e03ec86562c1ea3f7cbdd9dc3b1529e 100644
--- a/api/apps/chunk_app.py
+++ b/api/apps/chunk_app.py
@@ -51,7 +51,7 @@ def list():
if not e:
return get_data_error_result(retmsg="Document not found!")
query = {
- "doc_ids": [doc_id], "page": page, "size": size, "question": question
+ "doc_ids": [doc_id], "page": page, "size": size, "question": question, "sort": True
}
if "available_int" in req:
query["available_int"] = int(req["available_int"])
@@ -66,7 +66,12 @@ def list():
"important_kwd": sres.field[id].get("important_kwd", []),
"img_id": sres.field[id].get("img_id", ""),
"available_int": sres.field[id].get("available_int", 1),
+ "positions": sres.field[id].get("position_int", "").split("\t")
}
+ poss = []
+ for i in range(0, len(d["positions"]), 5):
+ poss.append([float(d["positions"][i]), float(d["positions"][i+1]), float(d["positions"][i+2]), float(d["positions"][i+3]), float(d["positions"][i+4])])
+ d["positions"] = poss
res["chunks"].append(d)
return get_json_result(data=res)
except Exception as e:
diff --git a/api/settings.py b/api/settings.py
index 4fa73707863a1b0e338d19dc47f88937f8fab0f5..3200763cbd38d481f7542a5f10b45f9c808ff6b2 100644
--- a/api/settings.py
+++ b/api/settings.py
@@ -21,9 +21,14 @@ from api.utils import get_base_config,decrypt_database_config
from api.utils.file_utils import get_project_base_directory
from api.utils.log_utils import LoggerFactory, getLogger
-from rag.nlp import search
-from rag.utils import ELASTICSEARCH
+# Logger
+LoggerFactory.set_directory(os.path.join(get_project_base_directory(), "logs", "api"))
+# {CRITICAL: 50, FATAL:50, ERROR:40, WARNING:30, WARN:30, INFO:20, DEBUG:10, NOTSET:0}
+LoggerFactory.LEVEL = 10
+stat_logger = getLogger("stat")
+access_logger = getLogger("access")
+database_logger = getLogger("database")
API_VERSION = "v1"
RAG_FLOW_SERVICE_NAME = "ragflow"
@@ -133,16 +138,10 @@ AUTHENTICATION_DEFAULT_TIMEOUT = 30 * 24 * 60 * 60 # s
PRIVILEGE_COMMAND_WHITELIST = []
CHECK_NODES_IDENTITY = False
+from rag.nlp import search
+from rag.utils import ELASTICSEARCH
retrievaler = search.Dealer(ELASTICSEARCH)
-# Logger
-LoggerFactory.set_directory(os.path.join(get_project_base_directory(), "logs", "api"))
-# {CRITICAL: 50, FATAL:50, ERROR:40, WARNING:30, WARN:30, INFO:20, DEBUG:10, NOTSET:0}
-LoggerFactory.LEVEL = 10
-
-stat_logger = getLogger("stat")
-access_logger = getLogger("access")
-database_logger = getLogger("database")
class CustomEnum(Enum):
@classmethod
diff --git a/deepdoc/parser/pdf_parser.py b/deepdoc/parser/pdf_parser.py
index 5ed59b545883ddde55c73c12f52e6e8868643c68..92928c47450b4f6d6ce937b57d5ccec0e8d09d83 100644
--- a/deepdoc/parser/pdf_parser.py
+++ b/deepdoc/parser/pdf_parser.py
@@ -545,7 +545,7 @@ class HuParser:
b_["top"] = b["top"]
self.boxes.pop(i)
- def _extract_table_figure(self, need_image, ZM, return_html):
+ def _extract_table_figure(self, need_image, ZM, return_html, need_position):
tables = {}
figures = {}
# extract figure and table boxes
@@ -658,8 +658,9 @@ class HuParser:
self.boxes.pop(i)
res = []
+ positions = []
- def cropout(bxs, ltype):
+ def cropout(bxs, ltype, poss):
nonlocal ZM
pn = set([b["page_number"] - 1 for b in bxs])
if len(pn) < 2:
@@ -682,6 +683,7 @@ class HuParser:
"layoutno", "")))
left, top, right, bott = b["x0"], b["top"], b["x1"], b["bottom"]
+ poss.append((pn, left, right, top, bott))
return self.page_images[pn] \
.crop((left * ZM, top * ZM,
right * ZM, bott * ZM))
@@ -692,7 +694,7 @@ class HuParser:
pn[p] = []
pn[p].append(b)
pn = sorted(pn.items(), key=lambda x: x[0])
- imgs = [cropout(arr, ltype) for p, arr in pn]
+ imgs = [cropout(arr, ltype, poss) for p, arr in pn]
pic = Image.new("RGB",
(int(np.max([i.size[0] for i in imgs])),
int(np.sum([m.size[1] for m in imgs]))),
@@ -714,18 +716,26 @@ class HuParser:
if not txt:
continue
+ poss = []
res.append(
(cropout(
bxs,
- "figure"),
+ "figure", poss),
[txt] if not return_html else [f"<p>{txt}</p>"]))
+ positions.append(poss)
for k, bxs in tables.items():
if not bxs:
continue
- res.append((cropout(bxs, "table"),
+ bxs = Recognizer.sort_Y_firstly(bxs, np.mean([(b["bottom"]-b["top"])/2 for b in bxs]))
+ poss = []
+ res.append((cropout(bxs, "table", poss),
self.tbl_det.construct_table(bxs, html=return_html, is_english=self.is_english)))
+ positions.append(poss)
+ assert len(positions) == len(res)
+
+ if need_position: return list(zip(res, positions))
return res
def proj_match(self, line):
@@ -922,13 +932,13 @@ class HuParser:
self._text_merge()
self._concat_downward()
self._filter_forpages()
- tbls = self._extract_table_figure(need_image, zoomin, return_html)
+ tbls = self._extract_table_figure(need_image, zoomin, return_html, False)
return self.__filterout_scraps(deepcopy(self.boxes), zoomin), tbls
def remove_tag(self, txt):
return re.sub(r"@@[\t0-9.-]+?##", "", txt)
- def crop(self, text, ZM=3):
+ def crop(self, text, ZM=3, need_position=False):
imgs = []
poss = []
for tag in re.findall(r"@@[0-9-]+\t[0-9.\t]+##", text):
@@ -946,6 +956,7 @@ class HuParser:
pos = poss[-1]
poss.append(([pos[0][-1]], pos[1], pos[2], min(self.page_images[pos[0][-1]].size[1]/ZM, pos[4]+GAP), min(self.page_images[pos[0][-1]].size[1]/ZM, pos[4]+120)))
+ positions = []
for ii, (pns, left, right, top, bottom) in enumerate(poss):
right = left + max_width
bottom *= ZM
@@ -958,6 +969,8 @@ class HuParser:
bottom, self.page_images[pns[0]].size[1])
))
)
+ positions.append((pns[0], left, right, top, min(
+ bottom, self.page_images[pns[0]].size[1])/ZM))
bottom -= self.page_images[pns[0]].size[1]
for pn in pns[1:]:
imgs.append(
@@ -967,9 +980,12 @@ class HuParser:
self.page_images[pn].size[1])
))
)
+ positions.append((pn, left, right, 0, min(
+ bottom, self.page_images[pn].size[1]) / ZM))
bottom -= self.page_images[pn].size[1]
if not imgs:
+ if need_position: return None, None
return
height = 0
for img in imgs:
@@ -988,6 +1004,9 @@ class HuParser:
img = Image.alpha_composite(img, overlay).convert("RGB")
pic.paste(img, (0, int(height)))
height += img.size[1] + GAP
+
+ if need_position:
+ return pic, positions
return pic
diff --git a/deepdoc/vision/recognizer.py b/deepdoc/vision/recognizer.py
index b0b7aeaaaa748aa13b8361229dab964a12cf61fa..3aac0086faddd636bf32591577872e9fa6d14f44 100644
--- a/deepdoc/vision/recognizer.py
+++ b/deepdoc/vision/recognizer.py
@@ -265,6 +265,7 @@ class Recognizer(object):
return
min_dis, min_i = 1000000, None
for i,b in enumerate(boxes):
+ if box.get("layoutno", "0") != b.get("layoutno", "0"): continue
dis = min(abs(box["x0"] - b["x0"]), abs(box["x1"] - b["x1"]), abs(box["x0"]+box["x1"] - b["x1"] - b["x0"])/2)
if dis < min_dis:
min_i = i
diff --git a/rag/app/book.py b/rag/app/book.py
index e79ee5f709e3f6600b71c2cde75bef2ced5c258a..4a5ce626bf2354985839e2d375ccd881536ed874 100644
--- a/rag/app/book.py
+++ b/rag/app/book.py
@@ -13,7 +13,7 @@
import copy
import re
from rag.nlp import bullets_category, is_english, tokenize, remove_contents_table, \
- hierarchical_merge, make_colon_as_title, naive_merge, random_choices, tokenize_table
+ hierarchical_merge, make_colon_as_title, naive_merge, random_choices, tokenize_table, add_positions
from rag.nlp import huqie
from deepdoc.parser import PdfParser, DocxParser
@@ -21,6 +21,7 @@ from deepdoc.parser import PdfParser, DocxParser
class Pdf(PdfParser):
def __call__(self, filename, binary=None, from_page=0,
to_page=100000, zoomin=3, callback=None):
+ callback(msg="OCR is running...")
self.__images__(
filename if not binary else binary,
zoomin,
@@ -40,11 +41,11 @@ class Pdf(PdfParser):
self._filter_forpages()
self._merge_with_same_bullet()
callback(0.75, "Text merging finished.")
- tbls = self._extract_table_figure(True, zoomin, False)
+ tbls = self._extract_table_figure(True, zoomin, False, True)
callback(0.8, "Text extraction finished")
- return [(b["text"] + self._line_tag(b, zoomin), b.get("layoutno","")) for b in self.boxes], tbls
+ return [(b["text"] + self._line_tag(b, zoomin), b.get("layoutno","")) for b in self.boxes], tbls, tbl_poss
def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", callback=None, **kwargs):
@@ -69,7 +70,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
callback(0.8, "Finish parsing.")
elif re.search(r"\.pdf$", filename, re.IGNORECASE):
pdf_parser = Pdf()
- sections,tbls = pdf_parser(filename if not binary else binary,
+ sections, tbls = pdf_parser(filename if not binary else binary,
from_page=from_page, to_page=to_page, callback=callback)
elif re.search(r"\.txt$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
@@ -105,7 +106,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
d = copy.deepcopy(doc)
ck = "\n".join(ck)
if pdf_parser:
- d["image"] = pdf_parser.crop(ck)
+ d["image"], poss = pdf_parser.crop(ck, need_position=True)
+ add_positions(d, poss)
ck = pdf_parser.remove_tag(ck)
tokenize(d, ck, eng)
res.append(d)
diff --git a/rag/app/laws.py b/rag/app/laws.py
index 0f2066d5cb4aac96a819582371473e1748fe22c4..256c02a48bb937952e50eb140b3b5e8a7d7361e3 100644
--- a/rag/app/laws.py
+++ b/rag/app/laws.py
@@ -15,7 +15,7 @@ import re
from io import BytesIO
from docx import Document
from rag.nlp import bullets_category, is_english, tokenize, remove_contents_table, hierarchical_merge, \
- make_colon_as_title
+ make_colon_as_title, add_positions
from rag.nlp import huqie
from deepdoc.parser import PdfParser, DocxParser
from rag.settings import cron_logger
@@ -49,6 +49,7 @@ class Docx(DocxParser):
class Pdf(PdfParser):
def __call__(self, filename, binary=None, from_page=0,
to_page=100000, zoomin=3, callback=None):
+ callback(msg="OCR is running...")
self.__images__(
filename if not binary else binary,
zoomin,
@@ -122,7 +123,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
ck = "\n".join(ck)
d = copy.deepcopy(doc)
if pdf_parser:
- d["image"] = pdf_parser.crop(ck)
+ d["image"], poss = pdf_parser.crop(ck, need_position=True)
+ add_positions(d, poss)
ck = pdf_parser.remove_tag(ck)
tokenize(d, ck, eng)
res.append(d)
diff --git a/rag/app/manual.py b/rag/app/manual.py
index 91a102c60c4788c81769b174ec0d6b200fcc997b..98f52af3c9a4680af96a803e759bcffad9c63160 100644
--- a/rag/app/manual.py
+++ b/rag/app/manual.py
@@ -2,7 +2,7 @@ import copy
import re
from api.db import ParserType
-from rag.nlp import huqie, tokenize, tokenize_table
+from rag.nlp import huqie, tokenize, tokenize_table, add_positions
from deepdoc.parser import PdfParser
from rag.utils import num_tokens_from_string
@@ -14,6 +14,7 @@ class Pdf(PdfParser):
def __call__(self, filename, binary=None, from_page=0,
to_page=100000, zoomin=3, callback=None):
+ callback(msg="OCR is running...")
self.__images__(
filename if not binary else binary,
zoomin,
@@ -32,7 +33,7 @@ class Pdf(PdfParser):
self._concat_downward(concat_between_pages=False)
self._filter_forpages()
callback(0.77, "Text merging finished")
- tbls = self._extract_table_figure(True, zoomin, False)
+ tbls = self._extract_table_figure(True, zoomin, False, True)
# clean mess
for b in self.boxes:
@@ -91,7 +92,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
d = copy.deepcopy(doc)
ck = "\n".join(chunk)
tokenize(d, pdf_parser.remove_tag(ck), pdf_parser.is_english)
- d["image"] = pdf_parser.crop(ck)
+ d["image"], poss = pdf_parser.crop(ck, need_position=True)
+ add_positions(d, poss)
res.append(d)
chunk = []
tk_cnt = 0
diff --git a/rag/app/naive.py b/rag/app/naive.py
index 71d3d350d14218d96e45bb6e992298abd3880e74..b80d600b3db2a45f009d2534aeaaeadd00f44895 100644
--- a/rag/app/naive.py
+++ b/rag/app/naive.py
@@ -13,7 +13,7 @@
import copy
import re
from rag.app import laws
-from rag.nlp import huqie, is_english, tokenize, naive_merge, tokenize_table
+from rag.nlp import huqie, is_english, tokenize, naive_merge, tokenize_table, add_positions
from deepdoc.parser import PdfParser
from rag.settings import cron_logger
@@ -21,6 +21,7 @@ from rag.settings import cron_logger
class Pdf(PdfParser):
def __call__(self, filename, binary=None, from_page=0,
to_page=100000, zoomin=3, callback=None):
+ callback(msg="OCR is running...")
self.__images__(
filename if not binary else binary,
zoomin,
@@ -39,7 +40,7 @@ class Pdf(PdfParser):
self._concat_downward(concat_between_pages=False)
self._filter_forpages()
callback(0.77, "Text merging finished")
- tbls = self._extract_table_figure(True, zoomin, False)
+ tbls = self._extract_table_figure(True, zoomin, False, True)
cron_logger.info("paddle layouts:".format((timer() - start) / (self.total_page + 0.1)))
#self._naive_vertical_merge()
@@ -95,11 +96,12 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
# wrap up to es documents
for ck in cks:
+ if len(ck.strip()) == 0:continue
print("--", ck)
- if not ck:continue
d = copy.deepcopy(doc)
if pdf_parser:
- d["image"] = pdf_parser.crop(ck)
+ d["image"], poss = pdf_parser.crop(ck, need_position=True)
+ add_positions(d, poss)
ck = pdf_parser.remove_tag(ck)
tokenize(d, ck, eng)
res.append(d)
diff --git a/rag/app/paper.py b/rag/app/paper.py
index df7a28fb9dc3dda71520d527035d11b775f1867e..a34afd235d8dac6947a7b54938092719cfe7b90a 100644
--- a/rag/app/paper.py
+++ b/rag/app/paper.py
@@ -15,7 +15,7 @@ import re
from collections import Counter
from api.db import ParserType
-from rag.nlp import huqie, tokenize, tokenize_table
+from rag.nlp import huqie, tokenize, tokenize_table, add_positions
from deepdoc.parser import PdfParser
import numpy as np
from rag.utils import num_tokens_from_string
@@ -28,6 +28,7 @@ class Pdf(PdfParser):
def __call__(self, filename, binary=None, from_page=0,
to_page=100000, zoomin=3, callback=None):
+ callback(msg="OCR is running...")
self.__images__(
filename if not binary else binary,
zoomin,
@@ -47,7 +48,7 @@ class Pdf(PdfParser):
self._concat_downward(concat_between_pages=False)
self._filter_forpages()
callback(0.75, "Text merging finished.")
- tbls = self._extract_table_figure(True, zoomin, False)
+ tbls = self._extract_table_figure(True, zoomin, False, True)
# clean mess
if column_width < self.page_images[0].size[0] / zoomin / 2:
@@ -165,7 +166,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
txt = pdf_parser.remove_tag(paper["abstract"])
d["important_kwd"] = ["abstract", "总结", "概括", "summary", "summarize"]
d["important_tks"] = " ".join(d["important_kwd"])
- d["image"] = pdf_parser.crop(paper["abstract"])
+ d["image"], poss = pdf_parser.crop(paper["abstract"], need_position=True)
+ add_positions(d, poss)
tokenize(d, txt, eng)
res.append(d)
@@ -198,8 +200,9 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
for p in proj:
d = copy.deepcopy(doc)
txt += "\n" + pdf_parser.remove_tag(p)
- d["image"] = pdf_parser.crop(p)
- tokenize(d, txt)
+ d["image"], poss = pdf_parser.crop(p, need_position=True)
+ add_positions(d, poss)
+ tokenize(d, txt, eng)
res.append(d)
i = 0
@@ -210,7 +213,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
d = copy.deepcopy(doc)
ck = "\n".join(chunk)
tokenize(d, pdf_parser.remove_tag(ck), pdf_parser.is_english)
- d["image"] = pdf_parser.crop(ck)
+ d["image"], poss = pdf_parser.crop(ck, need_position=True)
+ add_positions(d, poss)
res.append(d)
chunk = []
tk_cnt = 0
diff --git a/rag/app/presentation.py b/rag/app/presentation.py
index 0a041ee0445d6e47556105759e37ca94a54a4b25..dd18e720cc87a6902938c57b06d330d5a185fc6a 100644
--- a/rag/app/presentation.py
+++ b/rag/app/presentation.py
@@ -48,6 +48,7 @@ class Pdf(PdfParser):
return False
def __call__(self, filename, binary=None, from_page=0, to_page=100000, zoomin=3, callback=None):
+ callback(msg="OCR is running...")
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)))
assert len(self.boxes) == len(self.page_images), "{} vs. {}".format(len(self.boxes), len(self.page_images))
@@ -94,9 +95,10 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **k
return res
elif re.search(r"\.pdf$", filename, re.IGNORECASE):
pdf_parser = Pdf()
- for txt,img in pdf_parser(filename if not binary else binary, from_page=from_page, to_page=to_page, callback=callback):
+ for pn, (txt,img) in enumerate(pdf_parser(filename if not binary else binary, from_page=from_page, to_page=to_page, callback=callback)):
d = copy.deepcopy(doc)
d["image"] = img
+ d["page_num_obj"] = [pn+1]
tokenize(d, txt, pdf_parser.is_english)
res.append(d)
return res
diff --git a/rag/nlp/__init__.py b/rag/nlp/__init__.py
index a3c8dc7dd82b31892992644ccfd170339a956152..6a571df7e796c5f03b5400b722f7eefdc1ba2150 100644
--- a/rag/nlp/__init__.py
+++ b/rag/nlp/__init__.py
@@ -83,17 +83,39 @@ def tokenize(d, t, eng):
def tokenize_table(tbls, doc, eng, batch_size=10):
res = []
# add tables
- for img, rows in tbls:
+ for (img, rows), poss in tbls:
+ if not rows:continue
+ if isinstance(rows, str):
+ d = copy.deepcopy(doc)
+ r = re.sub(r"<[^<>]{,12}>", "", rows)
+ tokenize(d, r, eng)
+ d["content_with_weight"] = rows
+ d["image"] = img
+ add_positions(d, poss)
+ res.append(d)
+ continue
de = "; " if eng else "； "
for i in range(0, len(rows), batch_size):
d = copy.deepcopy(doc)
r = de.join(rows[i:i + batch_size])
tokenize(d, r, eng)
d["image"] = img
+ add_positions(d, poss)
res.append(d)
return res
+def add_positions(d, poss):
+ if not poss:return
+ d["page_num_int"] = []
+ d["position_int"] = []
+ d["top_int"] = []
+ for pn, left, right, top, bottom in poss:
+ d["page_num_int"].append(pn+1)
+ d["top_int"].append(top)
+ d["position_int"].append((pn+1, left, right, top, bottom))
+
+
def remove_contents_table(sections, eng=False):
i = 0
while i < len(sections):
diff --git a/rag/nlp/search.py b/rag/nlp/search.py
index 7e9a24a1777129a4968b4e5e407eec588434734b..8be50c1397a31bed45dc198e67fdd22ce18a0f62 100644
--- a/rag/nlp/search.py
+++ b/rag/nlp/search.py
@@ -68,17 +68,25 @@ class Dealer:
pg = int(req.get("page", 1)) - 1
ps = int(req.get("size", 1000))
src = req.get("fields", ["docnm_kwd", "content_ltks", "kb_id", "img_id",
- "image_id", "doc_id", "q_512_vec", "q_768_vec",
+ "image_id", "doc_id", "q_512_vec", "q_768_vec", "position_int",
"q_1024_vec", "q_1536_vec", "available_int", "content_with_weight"])
s = s.query(bqry)[pg * ps:(pg + 1) * ps]
s = s.highlight("content_ltks")
s = s.highlight("title_ltks")
if not qst:
- s = s.sort(
- {"create_time": {"order": "desc", "unmapped_type": "date"}},
- {"create_timestamp_flt": {"order": "desc", "unmapped_type": "float"}}
- )
+ if not req.get("sort"):
+ s = s.sort(
+ {"create_time": {"order": "desc", "unmapped_type": "date"}},
+ {"create_timestamp_flt": {"order": "desc", "unmapped_type": "float"}}
+ )
+ else:
+ s = s.sort(
+ {"page_num_int": {"order": "asc", "unmapped_type": "float"}},
+ {"top_int": {"order": "asc", "unmapped_type": "float"}},
+ {"create_time": {"order": "desc", "unmapped_type": "date"}},
+ {"create_timestamp_flt": {"order": "desc", "unmapped_type": "float"}}
+ )
if qst:
s = s.highlight_options(
@@ -169,7 +177,7 @@ class Dealer:
m = {n: d.get(n) for n in flds if d.get(n) is not None}
for n, v in m.items():
if isinstance(v, type([])):
- m[n] = "\t".join([str(vv) for vv in v])
+ m[n] = "\t".join([str(vv) if not isinstance(vv, list) else "\t".join([str(vvv) for vvv in vv]) for vv in v])
continue
if not isinstance(v, type("")):
m[n] = str(m[n])
diff --git a/rag/svr/task_executor.py b/rag/svr/task_executor.py
index 8d39aaa9bf2360173fe8237adbbb7806fba0bd3e..67cc0fb8a5373e697537d6e39cd0fe32d7ace17b 100644
--- a/rag/svr/task_executor.py
+++ b/rag/svr/task_executor.py
@@ -48,6 +48,7 @@ from api.utils.file_utils import get_project_base_directory
BATCH_SIZE = 64
FACTORY = {
+ "general": naive,
ParserType.NAIVE.value: naive,
ParserType.PAPER.value: paper,
ParserType.BOOK.value: book,
@@ -228,6 +229,8 @@ def main(comm, mod):
es_r = ELASTICSEARCH.bulk(cks, search.index_name(r["tenant_id"]))
if es_r:
callback(-1, "Index failure!")
+ ELASTICSEARCH.deleteByQuery(
+ Q("match", doc_id=r["doc_id"]), idxnm=search.index_name(r["tenant_id"]))
cron_logger.error(str(es_r))
else:
if TaskService.do_cancel(r["id"]):