|
| 1 | +from flask_wtf import FlaskForm |
| 2 | +from marshmallow import Schema, fields, pre_dump |
| 3 | +from wtforms import StringField, BooleanField |
| 4 | +from wtforms.validators import Optional, ValidationError, DataRequired |
| 5 | + |
| 6 | +from internal.lib.helper import datetime_to_timestamp |
| 7 | +from internal.model import Segment |
| 8 | +from pkg.paginator import PaginatorReq |
| 9 | +from .schema import ListField |
| 10 | + |
| 11 | + |
| 12 | +class GetSegmentsWithPageReq(PaginatorReq): |
| 13 | + """获取文档片段列表请求""" |
| 14 | + |
| 15 | + search_word = StringField("search_word", default="", validators=[Optional()]) |
| 16 | + |
| 17 | + |
| 18 | +class GetSegmentsWithPageResp(Schema): |
| 19 | + """获取文档片段列表响应结构""" |
| 20 | + |
| 21 | + id = fields.UUID(dump_default="") |
| 22 | + document_id = fields.UUID(dump_default="") |
| 23 | + dataset_id = fields.UUID(dump_default="") |
| 24 | + position = fields.Integer(dump_default=0) |
| 25 | + content = fields.String(dump_default="") |
| 26 | + keywords = fields.List(fields.String, dump_default=[]) |
| 27 | + character_count = fields.Integer(dump_default=0) |
| 28 | + token_count = fields.Integer(dump_default=0) |
| 29 | + hit_count = fields.Integer(dump_default=0) |
| 30 | + enabled = fields.Boolean(dump_default=False) |
| 31 | + disabled_at = fields.Integer(dump_default=0) |
| 32 | + status = fields.String(dump_default="") |
| 33 | + error = fields.String(dump_default="") |
| 34 | + updated_at = fields.Integer(dump_default=0) |
| 35 | + created_at = fields.Integer(dump_default=0) |
| 36 | + |
| 37 | + @pre_dump |
| 38 | + def process_data(self, data: Segment, **kwargs): |
| 39 | + return { |
| 40 | + "id": data.id, |
| 41 | + "document_id": data.document_id, |
| 42 | + "dataset_id": data.dataset_id, |
| 43 | + "position": data.position, |
| 44 | + "content": data.content, |
| 45 | + "keywords": data.keywords, |
| 46 | + "character_count": data.character_count, |
| 47 | + "token_count": data.token_count, |
| 48 | + "hit_count": data.hit_count, |
| 49 | + "enabled": data.enabled, |
| 50 | + "disabled_at": datetime_to_timestamp(data.disabled_at), |
| 51 | + "status": data.status, |
| 52 | + "error": data.error, |
| 53 | + "updated_at": datetime_to_timestamp(data.updated_at), |
| 54 | + "created_at": datetime_to_timestamp(data.created_at), |
| 55 | + } |
| 56 | + |
| 57 | + |
| 58 | +class GetSegmentResp(Schema): |
| 59 | + """获取文档详情响应结构""" |
| 60 | + |
| 61 | + id = fields.UUID(dump_default="") |
| 62 | + document_id = fields.UUID(dump_default="") |
| 63 | + dataset_id = fields.UUID(dump_default="") |
| 64 | + position = fields.Integer(dump_default=0) |
| 65 | + content = fields.String(dump_default="") |
| 66 | + keywords = fields.List(fields.String, dump_default=[]) |
| 67 | + character_count = fields.Integer(dump_default=0) |
| 68 | + token_count = fields.Integer(dump_default=0) |
| 69 | + hit_count = fields.Integer(dump_default=0) |
| 70 | + hash = fields.String(dump_default="") |
| 71 | + enabled = fields.Boolean(dump_default=False) |
| 72 | + disabled_at = fields.Integer(dump_default=0) |
| 73 | + status = fields.String(dump_default="") |
| 74 | + error = fields.String(dump_default="") |
| 75 | + updated_at = fields.Integer(dump_default=0) |
| 76 | + created_at = fields.Integer(dump_default=0) |
| 77 | + |
| 78 | + @pre_dump |
| 79 | + def process_data(self, data: Segment, **kwargs): |
| 80 | + return { |
| 81 | + "id": data.id, |
| 82 | + "document_id": data.document_id, |
| 83 | + "dataset_id": data.dataset_id, |
| 84 | + "position": data.position, |
| 85 | + "content": data.content, |
| 86 | + "keywords": data.keywords, |
| 87 | + "character_count": data.character_count, |
| 88 | + "token_count": data.token_count, |
| 89 | + "hit_count": data.hit_count, |
| 90 | + "hash": data.hash, |
| 91 | + "enabled": data.enabled, |
| 92 | + "disabled_at": datetime_to_timestamp(data.disabled_at), |
| 93 | + "status": data.status, |
| 94 | + "error": data.error, |
| 95 | + "updated_at": datetime_to_timestamp(data.updated_at), |
| 96 | + "created_at": datetime_to_timestamp(data.created_at), |
| 97 | + } |
| 98 | + |
| 99 | + |
| 100 | +class UpdateSegmentEnabledReq(FlaskForm): |
| 101 | + """更新文档片段启用状态请求""" |
| 102 | + |
| 103 | + enabled = BooleanField("enabled") |
| 104 | + |
| 105 | + def validate_enabled(self, field: BooleanField) -> None: |
| 106 | + """校验文档启用状态enabled""" |
| 107 | + if not isinstance(field.data, bool): |
| 108 | + raise ValidationError("enabled状态不能为空且必须为布尔值") |
| 109 | + |
| 110 | + |
| 111 | +class CreateSegmentReq(FlaskForm): |
| 112 | + """创建文档片段请求结构""" |
| 113 | + |
| 114 | + content = StringField("content", validators=[DataRequired("片段内容不能为空")]) |
| 115 | + keywords = ListField("keywords") |
| 116 | + |
| 117 | + def validate_keywords(self, field: ListField): |
| 118 | + """校验关键词列表,涵盖长度不能为空,默认为值为空列表""" |
| 119 | + # 1.校验数据类型+非空 |
| 120 | + if field.data is None: |
| 121 | + field.data = [] |
| 122 | + if not isinstance(field.data, list): |
| 123 | + raise ValidationError("关键词列表格式必须是数组") |
| 124 | + |
| 125 | + # 2.校验数据的长度,最长不能超过10个关键词 |
| 126 | + if len(field.data) > 10: |
| 127 | + raise ValidationError("关键词长度范围数量在1-10") |
| 128 | + |
| 129 | + # 3.循环校验关键词信息,关键词必须是字符串 |
| 130 | + for keyword in field.data: |
| 131 | + if not isinstance(keyword, str): |
| 132 | + raise ValidationError("关键词必须是字符串") |
| 133 | + |
| 134 | + # 4.删除重复数据并更新 |
| 135 | + field.data = list(dict.fromkeys(field.data)) |
| 136 | + |
| 137 | + |
| 138 | +class UpdateSegmentReq(FlaskForm): |
| 139 | + """更新文档片段请求""" |
| 140 | + |
| 141 | + content = StringField("content", validators=[DataRequired("片段内容不能为空")]) |
| 142 | + keywords = ListField("keywords") |
| 143 | + |
| 144 | + def validate_keywords(self, field: ListField): |
| 145 | + """校验关键词列表,涵盖长度不能为空,默认为值为空列表""" |
| 146 | + # 1.校验数据类型+非空 |
| 147 | + if field.data is None: |
| 148 | + field.data = [] |
| 149 | + if not isinstance(field.data, list): |
| 150 | + raise ValidationError("关键词列表格式必须是数组") |
| 151 | + |
| 152 | + # 2.校验数据的长度,最长不能超过10个关键词 |
| 153 | + if len(field.data) > 10: |
| 154 | + raise ValidationError("关键词长度范围数量在1-10") |
| 155 | + |
| 156 | + # 3.循环校验关键词信息,关键词必须是字符串 |
| 157 | + for keyword in field.data: |
| 158 | + if not isinstance(keyword, str): |
| 159 | + raise ValidationError("关键词必须是字符串") |
| 160 | + |
| 161 | + # 4.删除重复数据并更新 |
| 162 | + field.data = list(dict.fromkeys(field.data)) |
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