feat:Supports adding charts to the DataEase canvas.

Author: ziyujiahao

backend/alembic/versions/048_update_chat_record.py

@@ -0,0 +1,29 @@
+"""empty message
+
+Revision ID: cd23f594ac05
+Revises: c1b794a961ce
+Create Date: 2025-11-06 14:12:40.384804
+
+"""
+from alembic import op
+import sqlalchemy as sa
+import sqlmodel.sql.sqltypes
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = 'cd23f594ac05'
+down_revision = 'c1b794a961ce'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column('chat_record', sa.Column('sql_prase', sa.Text(), nullable=True))
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column('chat_record', 'sql_prase')
+    # ### end Alembic commands ###

backend/apps/chat/api/chat.py

@@ -172,14 +172,14 @@ async def analysis_or_predict(session: SessionDep, current_user: CurrentUser, ch
 
         stmt = select(ChatRecord.id, ChatRecord.question, ChatRecord.chat_id, ChatRecord.datasource,
                       ChatRecord.engine_type,
-                      ChatRecord.ai_modal_id, ChatRecord.create_by, ChatRecord.chart, ChatRecord.data).where(
+                      ChatRecord.ai_modal_id, ChatRecord.create_by, ChatRecord.chart, ChatRecord.data,ChatRecord.sql_prase).where(
             and_(ChatRecord.id == chat_record_id))
         result = session.execute(stmt)
         for r in result:
             record = ChatRecord(id=r.id, question=r.question, chat_id=r.chat_id, datasource=r.datasource,
                                 engine_type=r.engine_type, ai_modal_id=r.ai_modal_id, create_by=r.create_by,
                                 chart=r.chart,
-                                data=r.data)
+                                data=r.data,sql_prase=r.sql_prase)
 
         if not record:
             raise Exception(f"Chat record with id {chat_record_id} not found")

backend/apps/chat/curd/chat.py

@@ -644,17 +644,19 @@ def save_chart_answer(session: SessionDep, record_id: int, answer: str) -> ChatR
     return record
 
 
-def save_chart(session: SessionDep, record_id: int, chart: str) -> ChatRecord:
+def save_chart(session: SessionDep, record_id: int, chart: str, sql_prase: str) -> ChatRecord:
     if not record_id:
         raise Exception("Record id cannot be None")
     record = get_chat_record_by_id(session, record_id)
 
     record.chart = chart
+    record.sql_prase = sql_prase
 
     result = ChatRecord(**record.model_dump())
 
     stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
-        chart=record.chart
+        chart=record.chart,
+        sql_prase=record.sql_prase
     )
 
     session.execute(stmt)

backend/apps/chat/models/chat_model.py

@@ -17,6 +17,7 @@
 from apps.template.generate_guess_question.generator import get_guess_question_template
 from apps.template.generate_predict.generator import get_predict_template
 from apps.template.generate_sql.generator import get_sql_template, get_sql_example_template
+from apps.template.prase_sql.generator import get_prase_sql_template
 from apps.template.select_datasource.generator import get_datasource_template
 
 
@@ -40,6 +41,7 @@ class OperationEnum(Enum):
     GENERATE_SQL_WITH_PERMISSIONS = '5'
     CHOOSE_DATASOURCE = '6'
     GENERATE_DYNAMIC_SQL = '7'
+    PRASE_SQL = '8'
 
 
 class ChatFinishStep(Enum):
@@ -109,6 +111,7 @@ class ChatRecord(SQLModel, table=True):
     error: str = Field(sa_column=Column(Text, nullable=True))
     analysis_record_id: int = Field(sa_column=Column(BigInteger, nullable=True))
     predict_record_id: int = Field(sa_column=Column(BigInteger, nullable=True))
+    sql_prase: str = Field(sa_column=Column(Text, nullable=True))
 
 
 class ChatRecordResult(BaseModel):
@@ -229,6 +232,12 @@ def predict_sys_question(self):
     def predict_user_question(self):
         return get_predict_template()['user'].format(fields=self.fields, data=self.data)
 
+    def prase_sql_sys_question(self):
+        return get_prase_sql_template()['system'].format(lang=self.lang)
+
+    def prase_sql_user_question(self,sql='',chart=''):
+        return get_prase_sql_template()['user'].format(sql=sql,chart=chart)
+
     def datasource_sys_question(self):
         return get_datasource_template()['system'].format(lang=self.lang)
 

backend/apps/chat/task/llm.py

@@ -774,7 +774,7 @@ def check_save_sql(self, session: Session, res: str) -> str:
 
         return sql
 
-    def check_save_chart(self, session: Session, res: str) -> Dict[str, Any]:
+    def check_save_chart(self, session: Session, res: str, sql_prase: str) -> Dict[str, Any]:
 
         json_str = extract_nested_json(res)
         if json_str is None:
@@ -814,7 +814,7 @@ def check_save_chart(self, session: Session, res: str) -> Dict[str, Any]:
         if error:
             raise SingleMessageError(message)
 
-        save_chart(session=session, chart=orjson.dumps(chart).decode(), record_id=self.record.id)
+        save_chart(session=session, chart=orjson.dumps(chart).decode(), record_id=self.record.id,sql_prase=sql_prase)
 
         return chart
 
@@ -989,6 +989,7 @@ def run_task(self, in_chat: bool = True, stream: bool = True,
 
             use_dynamic_ds: bool = self.current_assistant and self.current_assistant.type in dynamic_ds_types
             is_page_embedded: bool = self.current_assistant and self.current_assistant.type == 4
+            is_assistant_embedded: bool = self.current_assistant and self.current_assistant.type == 1
             dynamic_sql_result = None
             sqlbot_temp_sql_text = None
             assistant_dynamic_sql = None
@@ -1092,7 +1093,16 @@ def run_task(self, in_chat: bool = True, stream: bool = True,
 
             # filter chart
             SQLBotLogUtil.info(full_chart_text)
-            chart = self.check_save_chart(session=_session, res=full_chart_text)
+
+            # sql prase
+            if is_assistant_embedded:
+                sql_prase = self.generate_sql_paras(_session,real_execute_sql,full_chart_text)
+                if in_chat:
+                    yield 'data:' + orjson.dumps(
+                        {'content': sql_prase,
+                         'type': 'sql_prase'}).decode() + '\n\n'
+
+                chart = self.check_save_chart(session=_session, res=full_chart_text,sql_prase=sql_prase)
             SQLBotLogUtil.info(chart)
 
             if not stream:
@@ -1283,6 +1293,49 @@ def validate_history_ds(self, session: Session):
             except Exception as e:
                 raise SingleMessageError(f"ds is invalid [{str(e)}]")
 
+    def generate_sql_paras(self, _session: Session, real_execute_sql: Optional[str] = '',chart: Optional[str] = ''):
+        # prase sql
+        prase_sql_msg: List[Union[BaseMessage, dict[str, Any]]] = []
+        prase_sql_msg.append(SystemMessage(self.chat_question.prase_sql_sys_question()))
+        prase_sql_msg.append(HumanMessage(self.chat_question.prase_sql_user_question(real_execute_sql,chart)))
+        self.current_logs[OperationEnum.PRASE_SQL] = start_log(session=_session,
+                                                               ai_modal_id=self.chat_question.ai_modal_id,
+                                                               ai_modal_name=self.chat_question.ai_modal_name,
+                                                               operate=OperationEnum.PRASE_SQL,
+                                                               record_id=self.record.id,
+                                                               full_message=[{'type': msg.type,
+                                                                              'content': msg.content}
+                                                                             for
+                                                                             msg in prase_sql_msg])
+
+        token_usage = {}
+        prase_res = process_stream(self.llm.stream(prase_sql_msg), token_usage)
+        prase_full_thinking_text = ''
+        prase_full_text = ''
+        for chunk in prase_res:
+            if chunk.get('content'):
+                prase_full_text += chunk.get('content')
+            if chunk.get('reasoning_content'):
+                prase_full_thinking_text += chunk.get('reasoning_content')
+        prase_sql_msg.append(AIMessage(prase_full_text))
+
+        self.current_logs[OperationEnum.PRASE_SQL] = end_log(session=_session,
+                                                             log=self.current_logs[
+                                                                 OperationEnum.PRASE_SQL],
+                                                             full_message=[
+                                                                 {'type': msg.type,
+                                                                  'content': msg.content}
+                                                                 for msg in prase_sql_msg],
+                                                             reasoning_content=prase_full_thinking_text,
+                                                             token_usage=token_usage)
+
+        prase_json_str = extract_nested_json(prase_full_text)
+        return prase_json_str
+        # if prase_json_str is None:
+        #     raise SingleMessageError(f'Cannot parse datasource from answer: {prase_full_text}')
+        # ds = orjson.loads(prase_json_str)
+        # return ds['info']
+
 
 def execute_sql_with_db(db: SQLDatabase, sql: str) -> str:
     """Execute SQL query using SQLDatabase
@@ -1455,7 +1508,6 @@ def process_stream(res: Iterator[BaseMessageChunk],
         }
         get_token_usage(chunk, token_usage)
 
-
 def get_lang_name(lang: str):
     if not lang:
         return '简体中文'

backend/apps/template/generate_sql/generator.py

@@ -12,3 +12,4 @@ def get_sql_template():
 def get_sql_example_template(db_type: Union[str, DB]):
     template = get_base_sql_template(db_type)
     return template['template']
+

backend/apps/template/prase_sql/__init__.py

@@ -0,0 +1,10 @@
+from typing import Union
+
+from apps.db.constant import DB
+from apps.template.template import get_base_template, get_sql_template as get_base_sql_template
+
+
+def get_prase_sql_template():
+    template = get_base_template()
+    return template['template']['prase_sql']
+

backend/apps/template/prase_sql/generator.py

@@ -517,3 +517,42 @@ template:
       
       ### 子查询映射表:
       {sub_query}
+  prase_sql:
+    system: |
+      ### 请使用语言：{lang} 回答
+      
+      ### 说明：
+      提供给你一句SQL和根据这个SQL已经生成的图表信息，你需要解析出sql所有的原始字段名称和sql字段别名，并把他们归类为维度、指标，如果是指标需要给出他的聚合函数是什么，同时提取图表标题，图表类型。
+      图表信息在chart字段内，SQL在sql字段内。
+      图表对应字段显示名称为name，图表原始字段名称为value,可以在chart.axis,chart.columns等字段内找到对应关系。
+
+      你必须遵守以下规则:
+      - 生成的数据使用JSON格式返回：
+      {{"success":true,"info":{{"type":"图表类型","title":"图表标题","limit":"sql限制条数","xAxisSource":[{{"sourceName":"sql维度原始字段名称","showName":"图表对应字段显示name"}}],"yAxisSource":[{{"sourceName":"sql指标原始字段名称","showName":"图表对应字段显示name","summary":"聚合函数"}}]}}}}
+      - 如果不能生成数据，回答：
+      {{"success":false,"message":"无法生成结果的原因"}}
+      - 如何SQL存在聚合字段且聚合字段是经过多个sql原始字段运算得到的 如： sum(a*b) as c,则只取第一个原始字段a，同时原始字段a对应的sql字段别名为c
+
+      ### 以下<example>帮助你理解问题及返回格式的例子，不要将<example>内的表结构用来回答用户的问题
+      <example>
+        <chat-examples>
+          <example>
+            <input>
+              <chart>{{"type":"pie","title":"门店销售数量分布","axis":{{"y":{{"name":"销售数量","value":"total_sales"}},"series":{{"name":"门店","value":"shop_name"}}}}}}</chart>
+              <sql>SELECT `t1`.`shop` AS `shop_name`, COUNT(`t1`.`id`) AS `order_count` FROM `demo_tea_order` `t1` GROUP BY `t1`.`shop` LIMIT 1000</sql>
+            </input>
+            <output>
+              {{"success":true,"info":{{"type":"pie","title":"门店订单分布","limit":1000,"xAxisSource":[{{"sourceName":"shop","showName":"门店"}}],"yAxisSource":[{{"sourceName":"id","showName":"订单数量","summary":"count"}}]}}}}
+            </output>
+          </example>
+        </chat-examples>
+      <example>
+
+      ### 响应, 请直接返回JSON结果:
+      ```json
+
+    user: |
+      ### chart:
+      {chart}
+      ### sql:
+      {sql}

backend/templates/template.yaml

@@ -51,6 +51,7 @@ export class ChatRecord {
   recommended_question?: string
   analysis_record_id?: number
   predict_record_id?: number
+  sql_prase?: string
 
   constructor()
   constructor(