def update_rule_to_redis(doc_type_id: int) -> None:
rule_mapper = {}
rule_and_terms = ClassifyRuleModel().get_rule_with_term(doc_type_id)
for doc_rule, doc_term in rule_and_terms:
rule_mapper[doc_term.doc_term_id] = doc_rule.rule_content
r.set(f'queue:rule:{doc_type_id}', json.dumps(rule_mapper))
r.set(f'queue:time:{doc_type_id}',
time.strftime("%Y%m%d%H%M%S", time.localtime()))
logger.info(rule_mapper) # 开发调试
def create_status():
from app.entity import Status
from app.model import StatusModel
if len(StatusModel().get_all()) == 0:
init_status = []
for i in StatusEnum:
init_status.append(
Status(app_id=1,
created_by=1,
status_id=int(i),
status_name=i.name))
StatusModel().bulk_create(init_status)
session.commit()
logger.info(" [x] Seeds status has been created. ")
def create_nlp_task():
from app.entity import NlpTask
from app.model import NlpTaskModel
if len(NlpTaskModel().get_all()) == 0:
init_nlp_tasks = []
for i in NlpTaskEnum:
init_nlp_tasks.append(
NlpTask(app_id=1,
created_by=1,
nlp_task_id=int(i),
nlp_task_name=i.name))
NlpTaskModel().bulk_create(init_nlp_tasks)
session.commit()
logger.info(" [x] Seeds nlp_task has been created. ")
def generate_classify_data(mark_job_ids):
results = []
for mark_task, doc in MarkTaskModel(
).get_mark_task_and_doc_by_mark_job_ids(mark_job_ids):
uuid = doc.doc_unique_name.split('.')[0]
if mark_task.mark_task_result and len(mark_task.mark_task_result) > 0:
marked_label = next(
filter(lambda x: x['marked'] == 1, mark_task.mark_task_result))
label = marked_label['label_id']
else:
label = ""
row = ["", label, uuid]
results.append(row)
file_path = upload_fileset.export_to_csv(results=results,
header=["text", "label", "uuid"])
logger.info(f'save classify csv file to {file_path}')
return file_path
def post(self: Resource, args: typing.Dict) -> typing.Tuple[typing.Dict, int]:
"""
message queue回调统一入口
"""
message = args['message']
logger.info(f"receive callback info from mq. response is: {json.dumps(args)}")
if message['business'] in [
'label', # 实体预标注
'classify_label', # 分类预标注
'relation_label', # 实体关系预标注
'wordseg_label' # 分词预标注
]:
update_params = {}
if args.get("task_state"):
if args['task_state'] == 'success': # 如果mq预标注返回成功，则初试状态是unlabel
update_params.update(mark_task_status=int(StatusEnum.unlabel))
else: # 如果mq预标注返回失败，则初试状态是fail
update_params.update(mark_task_status=int(StatusEnum.fail))
if args.get("task_result"):
update_params.update(mark_task_result=args["task_result"])
mark_task, user_task_list = MarkJobService()\
.update_mark_task_and_user_task_by_mark_task_id(mark_task_id=message["task_id"], args=update_params)
MarkJobService().update_mark_job_status_by_mark_task(mark_task=mark_task)
result = UserTaskSchema(many=True).dump(user_task_list)
return {
"message": "更新成功",
"result": result,
}, 201
elif message['business'] in [
'extract', # 实体抽取
'classify_extract', # 分类抽取
'relation_extract', # 实体关系抽取
'wordseg_extract' # 分词抽取
]:
update_params = {}
if args.get("task_state"):
update_params.update(predict_task_status=status_str2int_mapper()[args["task_state"]])
if args.get("task_result"):
update_params.update(predict_task_result=args["task_result"])
predict_task = PredictService().update_predict_task_by_id(predict_task_id=message["task_id"], args=update_params)
result = PredictTaskSchema().dump(predict_task)
return {
"message": "更新成功",
"result": result,
}, 201
def do_ok(self):
try:
self.root.withdraw()
self.data_processor.field_input_file = self.entry_open_file.get()
if not self.crops_selected:
self.get_default_crops()
self.data_processor.crops_selected = self.crops_selected
# self.data_processor.field_input_file = r'C:\Users\mayn\Desktop\权重计算测试基础数据.xlsx'
logger.info(f'开始处理文件:{self.data_processor.field_input_file}')
self.data_processor.process()
logger.info('处理完成')
except Exception as e:
logger.error("运行出错，请确定选择了正确的文件和数据")
logger.error(e)
logger.error(traceback.format_exc())
finally:
self.root.deiconify()
def before_request() -> None:
s = base64.b64decode(request.headers.get('User-Info', '')).decode('utf-8')
if s:
user_info = json.loads(s)
else:
user_info = {}
g.app_id = request.args.get('app_id') or user_info.get('app_id', 0)
g.user_id = request.args.get('user_id') or user_info.get('id', 0)
g.user_name = request.args.get('username') or user_info.get('username', '')
g.user_roles = request.args.getlist('user_roles') or [r.get('name') for r in user_info.get('roles', [])]
try:
g.user_groups = request.args.getlist('groups') or [r.get('id') for r in user_info.get('groups', [1])]
except:
g.user_groups = [-1]
logger.info({
"app_id": g.app_id,
"user_id": g.user_id,
"user_name": g.user_name,
"user_roles": g.user_roles,
})
bind_request_id_to_g()
def add_user_tags():
logger.debug("function add_user_tags __enter__")
#print (request.args)
if request.method == 'POST' or request.method == 'GET':
user_tags = UserTags()
user_tags.user_id = request.values.get("user_id", '',
type=str) # user_id
user_tags.tags = request.values.get("tags", '',
type=str).replace(',', '|') # tags
user_tags.create_time = timestamp()
user_tags.update_time = timestamp()
ut = UserTags.query.filter(
UserTags.user_id == user_tags.user_id).first()
if ut:
logger.info("user exist, update. user_id: " + str(ut.user_id))
ut.user_id = user_tags.user_id
ut.tags = user_tags.tags.replace(',', '|')
ut.update_time = user_tags.update_time
if 'user_tags_update_times' in session:
session['user_tags_update_times'] = session[
'user_tags_update_times'] + 1
else:
session['user_tags_update_times'] = 1
ut.modify_times = session['user_tags_update_times']
#ut.session.add()
db.session.commit()
end = '{"code": 1000, "msg": "%s" }' % ("用户标签已更新。")
return json.loads(json.dumps(end))
else:
db.session.add(user_tags)
db.session.commit()
logger.info("user tags added, user_id: " + str(user_tags.user_id))
end = '{"code": 1000, "msg": "%s" }' % ("用户标签已添加。")
return json.loads(json.dumps(end))
logger.warning("error, GET/POST wrong. ")
end = '{"code": 1003, "msg": "%s" }' % ("请求方法不正确。")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
def get_simi_ids():
logger.debug("function get_simi_ids __enter__")
if request.method == 'POST' or request.method == 'GET':
#logger.debug(str(request.args)+ str(request.values) + str(request.data)+ str(request.get_json())+ str(request.json))
logger.debug(request.args)
item_id = request.values.get('article_id')
page_size = request.values.get('page_size', 10, type=int)
page = request.args.get('page', 1, type=int)
page = page - 1
# check if session cache articles exist
session.clear()
article_simi_articles = item_id + "_simi_articles"
if article_simi_articles in session:
#logger.debug(session[article_simi_articles])
article_ids = session[article_simi_articles][page *
page_size:(page + 1) *
page_size]
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(article_ids), json.dumps(article_ids))
logger.debug(
'simi_articles in session: article %s got articles page %d' %
(item_id, page))
logger.debug(end)
logger.debug("function get_simi_ids __exit__ 0")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
else:
session[article_simi_articles] = []
item = ArticlesSimi.query.filter(
ArticlesSimi.article_id == item_id).first()
#article = ArticlesSimi()
#article.username = "******"
if not item:
logger.warning("article not exist, item_id: " + str(item_id))
end = '{"code": 1006, "msg": "%s" }' % ("请求的文章不存在")
retstr = json.loads(json.dumps(end.encode('utf-8')))
logger.debug(retstr)
logger.debug("function get_simi_ids __exit__ 1")
return retstr
#lastids = []
for article in item.simi_ids.split('|'):
if article not in session[article_simi_articles]:
session[article_simi_articles].append(article.encode('utf-8'))
lastids = session[article_simi_articles][page * page_size:(page + 1) *
page_size]
#logger.debug(session)
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(lastids), json.dumps(lastids))
retstr = json.loads(json.dumps(end.encode('utf-8')))
logger.debug('similarity article: ' + str(lastids).encode('utf-8'))
logger.debug(end)
logger.debug("function get_simi_ids __exit__ 2")
return retstr
#return render_template('private.html', form=form)
end = '{"code": 1003, "msg": "%s" }' % ("请求方法错误")
logger.info(end)
logger.debug("function get_simi_ids __exit__ 3")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
def get_user_recomm_articles():
logger.debug("function get_user_recomm_articles __enter__")
if request.method == 'POST' or request.method == 'GET':
logger.debug(
str(request.args) + '\n' + str(request.values) + '\n' +
str(request.data) + '\n' + str(request.get_json()) + '\n' +
str(request.json))
user_id = request.values.get('user_id', '', type=str)
page_size = request.values.get('page_size', 10, type=int)
page = request.values.get('page', 1, type=int)
#if not page_size or not str(page_size).isdigit():
# page_size = 10
#if not page or not str(page).isdigit():
# page = 1
page = page - 1 # page start with 1, mysql db offset start with 0
logger.debug(request.values)
#session.clear()
# check if session cache articles exist
session.clear()
user_recomm_articles = user_id + "_recomm_articles"
if user_recomm_articles in session:
#logger.debug(session)
article_ids = session[user_recomm_articles][page *
page_size:(page + 1) *
page_size]
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(article_ids), json.dumps(article_ids))
logger.debug(
'recomm_articles in session: user %s got articles page %d' %
(user_id, page))
logger.debug("function get_user_recomm_articles __exit__ 0")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
else:
session[user_recomm_articles] = []
# get user's tags
utag = UserTags.query.filter(UserTags.user_id == user_id).first()
if not utag:
logger.warning("user-tags not exist, user_id: " + str(user_id))
article_ids = _get_default_recomm_articles(page)
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(article_ids), json.dumps(article_ids))
logger.debug(end)
logger.debug("function get_user_recomm_articles __exit__ 1")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
articles = {}
tags = utag.tags
logger.debug('User tags found for ' + str(user_id) + ': ' + tags)
empty_num = 0
tags_arr = tags.split('|')
for tag in tags_arr:
if not tag:
empty_num += 1
logger.debug('Empty tag ' + str(tag))
if empty_num == tags_arr.len:
article_ids = _get_default_recomm_articles(page)
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(article_ids), json.dumps(article_ids))
logger.debug(end)
logger.debug(
"function get_user_recomm_articles __exit__ 2")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
continue
tagarticle = TagArticles.query.filter(
TagArticles.tag == tag).first()
if not tagarticle:
empty_num += 1
logger.debug('No article found for tag ' + str(tag))
if empty_num == tags_arr.len:
article_ids = _get_default_recomm_articles(page)
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(article_ids), json.dumps(article_ids))
logger.debug(end)
logger.debug(
"function get_user_recomm_articles __exit__ 2")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr
continue
for article_id in tagarticle.article_ids.split('|'):
artids = article_id.split(':')
uid = artids[0].encode('utf-8')
uval = float(artids[1])
#if not set([uid]).issubset(session['hit_articles']):
# session['hit_articles'].add(uid)
articles[uid] = uval
#logger.debug(articles)
articles = sorted(articles.items(),
key=lambda x: float(x[1]),
reverse=True)
logger.debug(articles)
for article in articles:
if article[0] not in session[user_recomm_articles]:
session[user_recomm_articles].append(article[0])
lastids = session[user_recomm_articles][page * page_size:(page + 1) *
page_size]
end = '{"code": 1000, "article_num": %d, "article_ids": %s }' % (
len(lastids), json.dumps(lastids))
retstr = json.loads(json.dumps(end.encode('utf-8')))
logger.debug('user ' + user_id + ' request article: ' + str(lastids))
logger.debug(retstr)
logger.debug("function get_user_recomm_articles __exit__ 3")
return retstr
#return render_template('private.html', form=form)
end = '{"code": 1003, "msg": "%s" }' % ("请求方法错误")
logger.info(end)
logger.debug("function get_user_recomm_articles __exit__ 4")
retstr = json.loads(json.dumps(end.encode('utf-8')))
return retstr