def start_to_connect(self):
buffsize = 2048
if self.ui.pushButton.text() == '已上线':
return 0
try:
print("Connection from :", self.add)
self._signal_text.emit("Connection from :" + self.add[0])
while True:
try:
readable, [], exceptional = select.select([self.tctimeClient], [], [self.tctimeClient], 0)
if self.tctimeClient in readable:
data = self.tctimeClient.recv(buffsize)
data = Comm.makestr(str(binascii.b2a_hex(data))[2:-1])
if data is not None and data != '':
print('Received message:', data)
self._signal_text.emit('Received message:' + data)
message = core.analysis(data.replace(' ', ''))
print('adssss', message)
if message is None:
continue
if message[0] == 0:
print('Send message:', Comm.makestr(message[1]))
self._signal_text.emit('Send message:' + Comm.makestr(message[1]))
self._signal_warm.emit((1, '登录/心跳'))
self.ui.pushButton.setText('已上线')
self.ui.menubar.setDisabled(0)
self.ui.lineEdit_2.setDisabled(1)
self.tctimeClient.send(binascii.a2b_hex(message[1]))
elif message[0] == 1:
self._signal_warm.emit((1, message[1]))
elif message[0] == 3:
self._signal_warm.emit((3, message[1]))
if self.tctimeClient in exceptional:
break
except:
traceback.print_exc(file=open('bug.txt', 'a+'))
break
except:
self._signal_warm.emit((0, '端口被占用'))
traceback.print_exc(file=open('bug.txt', 'a+'))
def on_loop(project_id):
# docresponse = get_documenttask(projid=project_id)
# docdata = pd.DataFrame(docresponse)
docdata = get_new_doc_task_db(project_id, 'docx')
if len(docdata) == 0:
return
# docdata = docdata[(docdata['step'] == 1) & (docdata['fileType'] == 'dwg')]
docdata = docdata.tail(config.n_for_project_in_loop)
docdata.columns = [s[0].lower() + s[1:] for s in docdata.columns]
docdata = (docdata.dropna(subset=['fileUrl', 'step']).reset_index())
# docdata = (docdata.sort_values('name')
# .dropna(subset=['fileUrl', 'step'])
# .reset_index()
# )
# basepath = os.path.join(config.root_dir, str(project_id))
basepath = config.root_dir
imgdir = os.path.join(config.root_dir, 'images')
for indx, dt in docdata.iterrows():
dt['createTime'] = str(dt['createTime'].asm8)
print(datetime.now())
info_log_obj = {'id': dt['fileId'], 'name': dt['name']}
# analysis_log('开始', info_log_obj)
if not dt['fileUrl'].startswith('http'):
dt['step'] = 6
change_step(dt['id'], dt.to_dict(), projid=project_id)
analysis_log('无文件', info_log_obj)
continue
# 不分析一些类型
no_analysis = False
for tp in config.skip_file_types:
if not dt['fileType'] or tp in dt['fileType']:
dt['step'] = 5
change_step(dt['id'], dt.to_dict(), projid=project_id)
info_log_obj['type'] = dt['fileType']
analysis_log('跳过类型', info_log_obj)
no_analysis = True
break
if no_analysis:
continue
try:
# 下载文件到本地文件夹
curpath = os.path.join(basepath, dt['name'])
download_doc(dt['fileUrl'], curpath)
except:
analysis_log('下载文件', info_log_obj)
continue
# 转换文件
try:
# 很大的
if os.path.getsize(curpath) > 300 * 1000 * 1000:
analysis_log('文件过大', info_log_obj)
dt['step'] = 4
change_step(dt['id'], dt.to_dict(), projid=project_id)
analysis_log('完成', info_log_obj)
continue
ext_tuple = os.path.splitext(dt['name'])
fname = ext_tuple[0]
extname = ext_tuple[1]
transformed = core.transform(curpath, basepath, extname)
except:
analysis_log('转换文件', info_log_obj)
continue
# 分析成字段
try:
kwords, kwfreq, pharr, nwarr, sumarr, attaimges, *drawing_none = core.analysis(
curpath, extname, imgdir=imgdir, do_drawings=True)
kwords_arr = kwords.split(',')
real_kwords = []
for kw in kwords_arr:
if is_real_kw(kw):
real_kwords.append(kw)
if len(real_kwords) > 5:
low_kw = real_kwords[5:]
else:
low_kw = []
except Exception as e:
dt['step'] = 7
change_step(dt['id'], dt.to_dict(), projid=project_id)
analysis_log('分析成字段', info_log_obj)
print(e)
continue
# 图片附件
try:
# 上传oss
upload_result = core.upload_images(attaimges)
# 写入附件表
for atta in upload_result:
atta_obj = {
"name": atta['name'],
"remark": "",
"keyword": "",
"abstract": utils.remove_blank(atta['abstract']),
"url": atta['url'],
"fileSize": atta['fileSize'],
"fileType": atta['fileType'],
"newWords": "",
"wordFrequency": "",
"phrases": "",
"linkType": "文件关联图片",
"fileId": dt['fileId']
}
add_attachment(atta_obj, projid=project_id)
except Exception as e:
print(e)
analysis_log('图片附件', info_log_obj)
continue
# 文件表写入字段
file_table_write_success = False
try:
doc_record = get_docs_byid(dt['fileId'], projid=project_id)
# choose summary
real_summary = []
for su in sumarr:
if is_real_summary(su):
real_summary.append(su)
summarylimit = 3
if len(real_summary) > summarylimit:
real_summary = sorted(real_summary,
key=lambda x: len(x),
reverse=True)[:summarylimit]
nwlimit = 900
nwarr = utils.remove_blank(nwarr)
if len(nwarr) > nwlimit:
nwarr = nwarr[:nwlimit]
updated = {
# "keyWord": kwords,
"keyWord": ','.join(low_kw),
"abstract": ','.join(real_summary),
"newWords": nwarr,
"wordFrequency": kwfreq,
"phrases": pharr
}
doc_record.update(updated)
# print(doc_record)
fill_docinfo(doc_record['id'], doc_record, projid=project_id)
file_table_write_success = True
except Exception as e:
analysis_log('文件表填入', info_log_obj)
print(e)
continue
# 创建新标签并关联
try:
if not real_kwords:
analysis_log('无内容', info_log_obj)
else:
alltags = get_doctag(projid=project_id)
if len(real_kwords) >= config.web_keywords_num:
curtags = real_kwords[:config.web_keywords_num]
else:
curtags = real_kwords
dtrels = []
for curtag in curtags:
existq = False
for t in alltags:
if str(t['name']).upper() == str(curtag).upper():
dtrels.append((dt['fileId'], t['id']))
existq = True
break
if not existq:
tagid = create_doctag(curtag, projid=project_id)
dtrels.append((dt['fileId'], tagid))
# 写入关联文件和标签
create_doctagrel(dtrels, projid=project_id)
except Exception as e:
analysis_log('标签', info_log_obj)
print(e)
continue
# 更改task的阶段为已完成
if file_table_write_success:
dt['step'] = 2
change_step(dt['id'], dt.to_dict(), projid=project_id)
# 删除本地下载文件
pass
analysis_log('完成', info_log_obj)
# delete_doctagrel(13, projid=project_id)
print('end proj')
if not transformed:
shutil.copy(fpath, filedir)
reanalysis = False
if reanalysis:
print('analysis')
result = []
imgresult = []
drawingresult = []
for indx, fullname in enumerate(fname_arr):
print(fullname)
ext_tuple = os.path.splitext(fullname)
fname = ext_tuple[0]
extname = ext_tuple[1]
fpath = os.path.join(filedir, fullname)
kwords, kwfreq, pharr, nwarr, sumarr, curimg, curdrawing = core.analysis(
fpath, extname, imgdir)
fid = indx + 100
result.append({
'id': fid,
'fname': fname,
'extname': extname,
'username': username,
'keywords': kwords,
'kwfreq': kwfreq,
'phrase': pharr,
'newwords': nwarr,
'summary': sumarr
})
imgresult += curimg
for d in curdrawing:
d['drawing_id'] = fid
def on_loop(project_id):
docresponse = get_documenttask(projid=project_id)
docdata = pd.DataFrame(docresponse)
if len(docdata) == 0:
return
docdata = docdata[docdata['step'] == 1]
docdata = docdata.tail(config.n_for_project_in_loop)
docdata = (docdata
# .sort_values('name')
.dropna(subset=['fileUrl', 'step'])
.reset_index()
)
# basepath = os.path.join(config.root_dir, str(project_id))
basepath = r'E:\file-local-analysis'
for indx, dt in docdata.iterrows():
info_log_obj = {'id': dt['fileId'], 'name': dt['name']}
print()
analysis_log('开始', info_log_obj)
# if not dt['fileUrl'].startswith('http'):
# analysis_log('无文件', info_log_obj)
# continue
try:
# curpath = os.path.join(basepath, dt['name'])
curpath = dt['fileUrl']
# transformed = core.transform(curpath, basepath, extname)
ext_tuple = os.path.splitext(dt['name'])
extname = ext_tuple[1]
# 补写
# if extname != '.dwg' and extname != '.rar':
# continue
# analysis_log('开始', info_log_obj)
# 补写
if extname == '.doc':
transdoc.doc2docx(curpath, basepath, remove=False)
curpath = os.path.join(basepath, dt['name'])
if extname == '.ppt':
transppt.ppt2pptx(curpath, basepath, remove=False)
curpath = os.path.join(basepath, dt['name'])
# dwg rar本地转移 在线分析不用
if extname == '.dwg':
shutil.copy(curpath, basepath)
curpath = os.path.join(basepath, dt['name'])
if extname == '.rar' or extname == '.zip':
shutil.copy(curpath, basepath)
curpath = os.path.join(basepath, dt['name'])
# 很大的
if os.path.getsize(dt['fileUrl']) > 100 * 1000 * 1000:
analysis_log('文件过大', info_log_obj)
dt['step'] = 2
change_step(dt['id'], dt.to_dict(), projid=project_id)
continue
except Exception as e:
analysis_log('下载和转换文件', info_log_obj)
continue
# 分析成字段
try:
kwords, kwfreq, pharr, nwarr, sumarr, *img_none = core.analysis(
curpath, extname, imgdir=None, do_drawings=True)
kwords_arr = kwords.split(',')
real_kwords = []
for kw in kwords_arr:
if is_real_kw(kw):
real_kwords.append(kw)
if len(real_kwords) > 5:
low_kw = real_kwords[5:]
else:
low_kw = []
except Exception as e:
analysis_log('分析成字段', info_log_obj)
print(e)
# avoid always fail
dt['step'] = 2
change_step(dt['id'], dt.to_dict(), projid=project_id)
# avoid always fail
continue
# 文件表写入字段
file_table_write_success = False
try:
doc_record = get_docs_byid(dt['fileId'], projid=project_id)
# choose summary
real_summary = []
for su in sumarr:
if is_real_summary(su):
real_summary.append(su)
summarylimit = 3
if len(real_summary) > summarylimit:
real_summary = sorted(real_summary,
key=lambda x: len(x),
reverse=True)[:summarylimit]
nwlimit = 900
nwarr = utils.remove_blank(nwarr)
if len(nwarr) > nwlimit:
nwarr = nwarr[:nwlimit]
updated = {
# "keyWord": kwords,
"keyWord": ','.join(low_kw),
"abstract": ','.join(real_summary),
"newWords": nwarr,
"wordFrequency": kwfreq,
"phrases": pharr
}
doc_record.update(updated)
# print(doc_record)
fill_docinfo(doc_record['id'], doc_record, projid=project_id)
file_table_write_success = True
except Exception as e:
analysis_log('文件表填入', info_log_obj)
continue
# 创建新标签并关联
try:
if not real_kwords:
analysis_log('无内容', info_log_obj)
else:
alltags = get_doctag(projid=project_id)
if len(real_kwords) >= config.web_keywords_num:
curtags = real_kwords[:config.web_keywords_num]
else:
curtags = real_kwords
dtrels = []
for curtag in curtags:
existq = False
for t in alltags:
if str(t['name']).upper() == str(curtag).upper():
dtrels.append((dt['fileId'], t['id']))
existq = True
break
if not existq:
tagid = create_doctag(curtag, projid=project_id)
dtrels.append((dt['fileId'], tagid))
# 写入关联文件和标签
create_doctagrel(dtrels, projid=project_id)
except:
analysis_log('标签', info_log_obj)
continue
# 更改task的阶段为已完成
if file_table_write_success:
dt['step'] = 2
change_step(dt['id'], dt.to_dict(), projid=project_id)
# 删除本地下载文件
pass
analysis_log('完成', info_log_obj)
# delete_doctagrel(13, projid=project_id)
print('end proj')
