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import json
from gm_types.mimas import QUALITY_QUESTION_CLASSIFY_TYPE
from gm_upload.utils.image_utils import Picture
from qa.models import QualityClassfyQuestion, QualityQuestionClassifyRelation, QualityUserQuestion, QualityAuthorAnswer, \
QualityAuthorAnswerImage, QualityQuestion, Answer, QualityQuestionPool
from talos.rpc import bind_context
@bind_context('mimas/question_quality_get')
def get_question_quality(ctx, question_quality_id):
try:
quality_classify_question = QualityClassfyQuestion.objects.get(id=question_quality_id)
except QualityClassfyQuestion.DoesNotExist:
return {}
result = {
'classify_type': quality_classify_question.classify_type,
'tag_id': quality_classify_question.tag_id,
'tag_group_id': quality_classify_question.tag_group_id,
'is_online': quality_classify_question.is_online,
'questions': [],
}
# 查询时保证一下顺序
related_questions = list(QualityQuestionClassifyRelation.objects.filter(
quality_classify_id=quality_classify_question.id
).order_by('id').values_list('question_id', flat=True))
if not related_questions:
return result
result['questions'] = related_questions
return result
@bind_context('mimas/question_quality_edit')
def question_quality_edit(ctx, data=None, question_quality_id=None):
result = {
'classify_type': int(data.get('classify_type')),
'tag_id': data.get('tag_id'),
'tag_group_id': data.get('tag_group_id'),
'is_online': data.get('is_online'),
}
question_ids = data.get('question_ids', [])
if not question_quality_id:
quality_classify_question = QualityClassfyQuestion.objects.create(**result)
for _id in question_ids:
QualityQuestionClassifyRelation.objects.create(
quality_classify_id=quality_classify_question.id, question_id=_id
)
else:
quality_classify_question = QualityClassfyQuestion.objects.get(id=question_quality_id)
if result['classify_type'] == QUALITY_QUESTION_CLASSIFY_TYPE.COMMON:
result['tag_id'] = None
result['tag_group_id'] = None
elif result['classify_type'] == QUALITY_QUESTION_CLASSIFY_TYPE.TAG:
result['tag_group_id'] = None
elif result['classify_type'] == QUALITY_QUESTION_CLASSIFY_TYPE.TAG_GROUP:
result['tag_id'] = None
for k, v in result.items():
setattr(quality_classify_question, k, v)
quality_classify_question.save()
QualityQuestionClassifyRelation.objects.filter(
quality_classify_id=quality_classify_question.id
).delete()
for _id in question_ids:
QualityQuestionClassifyRelation.objects.create(
quality_classify_id=quality_classify_question.id, question_id=_id
)
return {
'data': quality_classify_question.id
}
@bind_context('mimas/get_author_comments')
def get_author_comments(ctx, answer_id, question_id):
"""
获取回答下 指定追问问题下的 所有作者回复
:param ctx:
:param answer_id: table api_answer
:param question_id: table api_quality_question_pool
:return:
"""
if not all([answer_id, question_id]):
return {}
try:
question = QualityQuestionPool.objects.get(id=question_id)
question_title = question.title
except QualityQuestionPool.DoesNotExist:
question_title = ''
quality_question_ids = list(QualityUserQuestion.objects.filter(
answer_id=answer_id, question_id=question_id
).values_list('quality_question_id', flat=True))
if not quality_question_ids:
return {}
author_replies = QualityAuthorAnswer.objects.filter(
quality_question_id__in=quality_question_ids
).values('id', 'content', 'is_online')
result = []
for reply in author_replies:
_id = reply['id']
images = list(QualityAuthorAnswerImage.objects.filter(
quality_answer_id=_id
).values_list('url', flat=True))
result.append({
'content': reply['content'],
'images': images,
'is_online': reply['is_online'],
'id': reply['id'],
})
return {
'quality_questions': result,
'question_title': question_title,
}
@bind_context('mimas/quality_question/author_reply')
def hera_fake_author_comment(ctx, answer_id, question_id, data):
"""
hera 给提问创建回复
:param ctx:
:param data:
:param answer_id: table api_answer
:param question_id: table api_quality_question_pool
:return:
"""
result = {
'data': '',
'error': 0,
'message': ''
}
content = data.get('content', '')
images = json.loads(data.get('images', '[]'))
if not all([answer_id, question_id, content]):
return result
try:
answer = Answer.objects.get(id=answer_id)
except Answer.DoesNotExist:
return result
quality_question = QualityQuestion.objects.filter(
answer_id=answer_id, question_id=question_id
).first()
if not quality_question:
return result
author_reply = QualityAuthorAnswer.objects.create(
quality_question_id=quality_question.id,
content=content,
user_id=answer.user_id,
is_online=True,
)
image_objects = []
for image in images:
image_info = Picture.get_image_base_info(image)
q = QualityAuthorAnswerImage(
quality_answer_id=author_reply.id,
url=image,
width=image_info.get('width'),
height=image_info.get('height'),
)
image_objects.append(q)
QualityAuthorAnswerImage.objects.bulk_create(image_objects)
return result