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[improvement]Use QueryWrapper in place of hard-coded SQLs (#1944)
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Browse Source 
* [improvement][launcher]Use API to get element ID avoiding hard-code.

* [fix][launcher]Fix mysql scripts.

* [improvement][launcher]Support DuckDB database and refactor translator code structure.

* [improvement][headless-fe] Revamped the interaction for semantic modeling routing and successfully implemented the switching between dimension and dataset management.

* [improvement][Headless] Add table ddl in Dbschema

* [improvement][Headless] Add get database by type

* [improvement][Headless] Supports automatic batch creation of models based on db table names.

* [improvement][Headless] Supports getting domain by bizName

* [improvement][launcher]Refactor unit tests and demo data.

* [fix][launcher]Change default vector dimension to 512.

* [improvement](Dict) add dimValueAliasMap info for KnowledgeBaseService

* [improvement][headless]Use QueryWrapper to replace hard-code SQL in mapper xml.

* [improvement][chat]Introduce ChatMemory to delegate ChatMemoryDO.

* [fix][common]Fix embedding store sys configs.

* [fix][common]Fix postgres schema, using varchar instead of char.

* [improvement][launcher]Change supersonic docker deployment from mysql to postgres.

* [Fix][launcher]Fix a number of issues related to semantic modeling.

* [Fix][headless]Fix the evaluation logic of agg type.

* [fix][assembly]Fix Dockerfile and add docker compose run script.

* [fix][chat]Fix "multiple assignments to same column "similar_queries".

* [improvement][headless]Use LamdaQueryWrapper to avoid hard-coded column names.

* [improvement][headless]Refactor headless infra to support advanced semantic modelling.

* [improvement][headless]Change class name `Dim` to `Dimension`.

* [improvement][chat]Introduce `TimeFieldMapper` to always map time field.

* [fix][headless]Remove unnecessary dimension existence check.

* [fix][chat]Fix adjusted filters don't take effect.

---------
This commit is contained in:
Jun Zhang
2024-12-08 13:32:29 +08:00
committed by GitHub
parent 0fc29304a8
commit e55f43c737
120 changed files with 844 additions and 5810 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
launchers/standalone/src/main/resources/META-INF/spring.factories
View File

@@ -4,6 +4,7 @@ com.tencent.supersonic.headless.chat.mapper.SchemaMapper=\
com.tencent.supersonic.headless.chat.mapper.EmbeddingMapper, \
com.tencent.supersonic.headless.chat.mapper.KeywordMapper, \
com.tencent.supersonic.headless.chat.mapper.QueryFilterMapper, \
com.tencent.supersonic.headless.chat.mapper.TimeFieldMapper,\
com.tencent.supersonic.headless.chat.mapper.TermDescMapper
com.tencent.supersonic.headless.chat.parser.SemanticParser=\
@@ -27,9 +28,9 @@ com.tencent.supersonic.headless.chat.parser.llm.DataSetResolver=\
com.tencent.supersonic.headless.core.translator.converter.QueryConverter=\
com.tencent.supersonic.headless.core.translator.converter.DefaultDimValueConverter,\
com.tencent.supersonic.headless.core.translator.converter.SqlVariableConverter,\
com.tencent.supersonic.headless.core.translator.converter.MetricRatioConverter,\
com.tencent.supersonic.headless.core.translator.converter.SqlQueryConverter,\
com.tencent.supersonic.headless.core.translator.converter.StructQueryConverter
com.tencent.supersonic.headless.core.translator.converter.StructQueryConverter,\
com.tencent.supersonic.headless.core.translator.converter.MetricRatioConverter
com.tencent.supersonic.headless.core.translator.optimizer.QueryOptimizer=\
com.tencent.supersonic.headless.core.translator.optimizer.DetailQueryOptimizer,\

26
launchers/standalone/src/main/resources/application-docker.yaml Normal file
View File

@@ -0,0 +1,26 @@
spring:
datasource:
url: jdbc:postgresql://${DB_HOST}:${DB_PORT:5432}/${DB_NAME}?stringtype=unspecified
username: ${DB_USERNAME}
password: ${DB_PASSWORD}
driver-class-name: org.postgresql.Driver
sql:
init:
enabled: false
mode: always
username: ${DB_USERNAME}
password: ${DB_PASSWORD}
schema-locations: classpath:db/schema-postgres.sql,classpath:db/schema-postgres-demo.sql
data-locations: classpath:db/data-postgres.sql,classpath:db/data-postgres-demo.sql
s2:
embedding:
store:
provider: PGVECTOR
base:
url: ${DB_HOST}
port: ${DB_PORT:5432}
databaseName: ${DB_NAME}
user: ${DB_USERNAME}
password: ${DB_PASSWORD}
dimension: 512

14
launchers/standalone/src/main/resources/application-postgres.yaml
View File

@@ -11,4 +11,16 @@ spring:
username: postgres
password: postgres
schema-locations: classpath:db/schema-postgres.sql,classpath:db/schema-postgres-demo.sql
data-locations: classpath:db/data-postgres.sql,classpath:db/data-postgres-demo.sql
data-locations: classpath:db/data-postgres.sql,classpath:db/data-postgres-demo.sql
#s2:
# embedding:
# store:
# provider: PGVECTOR
# base:
# url: 127.0.0.1
# port: 5432
# databaseName: postgres
# user: postgres
# password: postgres
# dimension: 512

6
launchers/standalone/src/main/resources/data/dictionary/custom/dic_value_1_DIMENSION_2.txt
View File

@@ -1,6 +0,0 @@
tom _1_2 1
alice _1_2 1
lucy _1_2 1
dean _1_2 1
john _1_2 1
jack _1_2 1

4
launchers/standalone/src/main/resources/data/dictionary/custom/dic_value_3_DIMENSION_4.txt
View File

@@ -1,4 +0,0 @@
p1 _3_4 3
p3 _3_4 4
p4 _3_4 4
p5 _3_4 2

3
launchers/standalone/src/main/resources/data/dictionary/custom/dic_value_4_DIMENSION_5.txt
View File

@@ -1,3 +0,0 @@
欧美 _4_5 1
港台 _4_5 3
内地 _4_5 2

6
launchers/standalone/src/main/resources/data/dictionary/custom/dic_value_4_DIMENSION_6.txt
View File

@@ -1,6 +0,0 @@
美人鱼 _4_6 1
青花瓷 _4_6 1
Love#Story _4_6 1
爱情转移 _4_6 1
人间烟火 _4_6 1
光的方向 _4_6 1

2
launchers/standalone/src/main/resources/data/dictionary/custom/dic_value_4_DIMENSION_7.txt
View File

@@ -1,2 +0,0 @@
国风 _4_7 2
流行 _4_7 4

6
launchers/standalone/src/main/resources/data/dictionary/custom/dic_value_4_DIMENSION_8.txt
View File

@@ -1,6 +0,0 @@
张碧晨 _4_8 1
周杰伦 _4_8 1
Taylor#Swift _4_8 1
程响 _4_8 1
林俊杰 _4_8 1
陈奕迅 _4_8 1

106
launchers/standalone/src/main/resources/db/data-mysql-demo.sql
View File

@@ -1,10 +1,10 @@
-- S2VisitsDemo
MERGE into s2_user_department (user_name, department) values ('jack','HR');
MERGE into s2_user_department (user_name, department) values ('tom','sales');
MERGE into s2_user_department (user_name, department) values ('lucy','marketing');
MERGE into s2_user_department (user_name, department) values ('john','strategy');
MERGE into s2_user_department (user_name, department) values ('alice','sales');
MERGE into s2_user_department (user_name, department) values ('dean','marketing');
INSERT INTO s2_user_department (user_name, department) values ('jack','HR');
INSERT INTO s2_user_department (user_name, department) values ('tom','sales');
INSERT INTO s2_user_department (user_name, department) values ('lucy','marketing');
INSERT INTO s2_user_department (user_name, department) values ('john','strategy');
INSERT INTO s2_user_department (user_name, department) values ('alice','sales');
INSERT INTO s2_user_department (user_name, department) values ('dean','marketing');
INSERT INTO s2_pv_uv_statis (imp_date, user_name, page) VALUES (CURRENT_DATE(), 'lucy', 'p1');
INSERT INTO s2_pv_uv_statis (imp_date, user_name, page) VALUES (CURRENT_DATE(), 'jack', 'p1');
@@ -1020,61 +1020,61 @@ INSERT INTO s2_stay_time_statis (imp_date, user_name, stay_hours, page) VALUES (
INSERT INTO s2_stay_time_statis (imp_date, user_name, stay_hours, page) VALUES (DATE_SUB(CURRENT_DATE(), INTERVAL 8 DAY), 'lucy', '0.039935860913407284', 'p2');
-- S2ArtistDemo
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('周杰伦', '港台', '青花瓷', '国风', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('陈奕迅', '港台', '爱情转移', '流行', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('林俊杰', '港台', '美人鱼', '流行', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('张碧晨', '内地', '光的方向', '流行', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('程响', '内地', '人间烟火', '国风', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('Taylor Swift', '欧美', 'Love Story', '流行', 1000000, 1000000, 1000000);
MERGE into genre(g_name,rating,most_popular_in) VALUES ('tagore',8,'孟加拉国');
MERGE into genre(g_name,rating,most_popular_in) VALUES ('nazrul',7,'孟加拉国');
MERGE into genre(g_name,rating,most_popular_in) VALUES ('民间',9,'锡尔赫特、吉大港、库斯蒂亚');
MERGE into genre(g_name,rating,most_popular_in) VALUES ('现代',8,'孟加拉国');
MERGE into genre(g_name,rating,most_popular_in) VALUES ('蓝调',7,'加拿大');
MERGE into genre(g_name,rating,most_popular_in) VALUES ('流行',9,'美国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('tagore',8,'孟加拉国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('nazrul',7,'孟加拉国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('民间',9,'锡尔赫特、吉大港、库斯蒂亚');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('现代',8,'孟加拉国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('蓝调',7,'加拿大');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('流行',9,'美国');
-- S2CompanyDemo
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_131','微软','西雅图','1975','盖茨','纳德拉',102300000000,210000);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_132','特斯拉','加州','2003','艾伯哈德','马斯克',376800000000,140473);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_133','谷歌','加州','1998','拉里佩奇','劈柴',321600000000,182503);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_134','亚马逊','加州','1994','贝索斯','贝索斯',28800000000,950000);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_135','英伟达','杭州','1993','黄仁勋','黄仁勋',67500000000,29000);
INSERT INTO company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_131','微软','西雅图','1975','盖茨','纳德拉',102300000000,210000);
INSERT INTO company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_132','特斯拉','加州','2003','艾伯哈德','马斯克',376800000000,140473);
INSERT INTO company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_133','谷歌','加州','1998','拉里佩奇','劈柴',321600000000,182503);
INSERT INTO company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_134','亚马逊','加州','1994','贝索斯','贝索斯',28800000000,950000);
INSERT INTO company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_135','英伟达','杭州','1993','黄仁勋','黄仁勋',67500000000,29000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_131','Office','1990','item_enterprise_13_131','盖茨',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_132','Windows','1991','item_enterprise_13_131','盖茨',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_133','Model 3','2017','item_enterprise_13_132','马斯克',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_134','Model Y','2020','item_enterprise_13_132','马斯克',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_135','Google','2003','item_enterprise_13_133','拉里佩奇',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_136','Android','2007','item_enterprise_13_133','拉里佩奇',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_137','aws','2004','item_enterprise_13_134','贝索斯',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_138','kindle','2007','item_enterprise_13_134','贝索斯',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_139','H100','2022','item_enterprise_13_135','黄仁勋',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_140','A100','2021','item_enterprise_13_135','黄仁勋',100000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_131','Office','1990','item_enterprise_13_131','盖茨',50000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_132','Windows','1991','item_enterprise_13_131','盖茨',50000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_133','Model 3','2017','item_enterprise_13_132','马斯克',100000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_134','Model Y','2020','item_enterprise_13_132','马斯克',100000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_135','Google','2003','item_enterprise_13_133','拉里佩奇',50000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_136','Android','2007','item_enterprise_13_133','拉里佩奇',50000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_137','aws','2004','item_enterprise_13_134','贝索斯',100000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_138','kindle','2007','item_enterprise_13_134','贝索斯',100000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_139','H100','2022','item_enterprise_13_135','黄仁勋',100000000);
INSERT INTO brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_140','A100','2021','item_enterprise_13_135','黄仁勋',100000000);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_131',12100000000, 2100000000,10,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_132',12200000000, 2200000000,20,20);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_133',12300000000, 2300000000,30,30);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_134',12400000000, 2400000000,10,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_135',12500000000, 2500000000,30,30);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_136',12600000000, 2600000000,40,40);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_137',12700000000, 2700000000,50,50);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_138',12800000000, 2800000000,20,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_139',12900000000, 2900000000,60,70);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_140',13000000000, 3000000000,80,100);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_131',13100000000,3100000000, 10,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_132',13200000000, 3200000000,20,20);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_133',13300000000, 3300000000,30,30);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_134',13400000000, 3400000000,10,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_135',13500000000, 3500000000,30,30);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_136',13600000000, 3600000000,40,40);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_137',13700000000, 3700000000,50,50);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_138',13800000000, 3800000000,20,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_139',13900000000, 3900000000,60,70);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_140',14000000000, 4000000000,80,100);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_131',12100000000, 2100000000,10,10);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_132',12200000000, 2200000000,20,20);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_133',12300000000, 2300000000,30,30);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_134',12400000000, 2400000000,10,10);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_135',12500000000, 2500000000,30,30);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_136',12600000000, 2600000000,40,40);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_137',12700000000, 2700000000,50,50);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_138',12800000000, 2800000000,20,10);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_139',12900000000, 2900000000,60,70);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_140',13000000000, 3000000000,80,100);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_131',13100000000,3100000000, 10,10);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_132',13200000000, 3200000000,20,20);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_133',13300000000, 3300000000,30,30);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_134',13400000000, 3400000000,10,10);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_135',13500000000, 3500000000,30,30);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_136',13600000000, 3600000000,40,40);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_137',13700000000, 3700000000,50,50);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_138',13800000000, 3800000000,20,10);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_139',13900000000, 3900000000,60,70);
INSERT INTO brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2024','item_brand_13_140',14000000000, 4000000000,80,100);

66
launchers/standalone/src/main/resources/db/data-postgres-demo.sql
View File

@@ -1,10 +1,10 @@
-- S2VisitsDemo
MERGE into s2_user_department (user_name, department) values ('jack','HR');
MERGE into s2_user_department (user_name, department) values ('tom','sales');
MERGE into s2_user_department (user_name, department) values ('lucy','marketing');
MERGE into s2_user_department (user_name, department) values ('john','strategy');
MERGE into s2_user_department (user_name, department) values ('alice','sales');
MERGE into s2_user_department (user_name, department) values ('dean','marketing');
INSERT into s2_user_department (user_name, department) values ('jack','HR');
INSERT into s2_user_department (user_name, department) values ('tom','sales');
INSERT into s2_user_department (user_name, department) values ('lucy','marketing');
INSERT into s2_user_department (user_name, department) values ('john','strategy');
INSERT into s2_user_department (user_name, department) values ('alice','sales');
INSERT into s2_user_department (user_name, department) values ('dean','marketing');
INSERT INTO s2_pv_uv_statis (imp_date, user_name, page) VALUES (CURRENT_DATE, 'lucy', 'p1');
INSERT INTO s2_pv_uv_statis (imp_date, user_name, page) VALUES (CURRENT_DATE, 'jack', 'p1');
@@ -1016,43 +1016,43 @@ INSERT INTO s2_stay_time_statis (imp_date, user_name, stay_hours, page) VALUES (
INSERT INTO s2_stay_time_statis (imp_date, user_name, stay_hours, page) VALUES (CURRENT_DATE - INTERVAL '8 DAY', 'lucy', '0.039935860913407284', 'p2');
-- S2ArtistDemo
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('周杰伦', '港台', '青花瓷', '国风', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('陈奕迅', '港台', '爱情转移', '流行', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('林俊杰', '港台', '美人鱼', '流行', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('张碧晨', '内地', '光的方向', '流行', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('程响', '内地', '人间烟火', '国风', 1000000, 1000000, 1000000);
MERGE INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
INSERT INTO singer (singer_name, act_area, song_name, genre, js_play_cnt, down_cnt, favor_cnt)
VALUES ('Taylor Swift', '欧美', 'Love Story', '流行', 1000000, 1000000, 1000000);
MERGE INTO genre(g_name,rating,most_popular_in) VALUES ('tagore',8,'孟加拉国');
MERGE INTO genre(g_name,rating,most_popular_in) VALUES ('nazrul',7,'孟加拉国');
MERGE INTO genre(g_name,rating,most_popular_in) VALUES ('民间',9,'锡尔赫特、吉大港、库斯蒂亚');
MERGE INTO genre(g_name,rating,most_popular_in) VALUES ('现代',8,'孟加拉国');
MERGE INTO genre(g_name,rating,most_popular_in) VALUES ('蓝调',7,'加拿大');
MERGE INTO genre(g_name,rating,most_popular_in) VALUES ('流行',9,'美国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('tagore',8,'孟加拉国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('nazrul',7,'孟加拉国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('民间',9,'锡尔赫特、吉大港、库斯蒂亚');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('现代',8,'孟加拉国');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('蓝调',7,'加拿大');
INSERT INTO genre(g_name,rating,most_popular_in) VALUES ('流行',9,'美国');
-- S2CompanyDemo
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_131','微软','西雅图','1975','盖茨','纳德拉',102300000000,210000);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_132','特斯拉','加州','2003','艾伯哈德','马斯克',376800000000,140473);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_133','谷歌','加州','1998','拉里佩奇','劈柴',321600000000,182503);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_134','亚马逊','加州','1994','贝索斯','贝索斯',28800000000,950000);
MERGE into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_135','英伟达','杭州','1993','黄仁勋','黄仁勋',67500000000,29000);
INSERT into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_131','微软','西雅图','1975','盖茨','纳德拉',102300000000,210000);
INSERT into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_132','特斯拉','加州','2003','艾伯哈德','马斯克',376800000000,140473);
INSERT into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_133','谷歌','加州','1998','拉里佩奇','劈柴',321600000000,182503);
INSERT into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_134','亚马逊','加州','1994','贝索斯','贝索斯',28800000000,950000);
INSERT into company(company_id,company_name,headquarter_address,company_established_time,founder,ceo,annual_turnover,employee_count) VALUES ('item_enterprise_13_135','英伟达','杭州','1993','黄仁勋','黄仁勋',67500000000,29000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_131','Office','1990','item_enterprise_13_131','盖茨',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_132','Windows','1991','item_enterprise_13_131','盖茨',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_133','Model 3','2017','item_enterprise_13_132','马斯克',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_134','Model Y','2020','item_enterprise_13_132','马斯克',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_135','Google','2003','item_enterprise_13_133','拉里佩奇',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_136','Android','2007','item_enterprise_13_133','拉里佩奇',50000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_137','aws','2004','item_enterprise_13_134','贝索斯',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_138','kindle','2007','item_enterprise_13_134','贝索斯',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_139','H100','2022','item_enterprise_13_135','黄仁勋',100000000);
MERGE into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_140','A100','2021','item_enterprise_13_135','黄仁勋',100000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_131','Office','1990','item_enterprise_13_131','盖茨',50000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_132','Windows','1991','item_enterprise_13_131','盖茨',50000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_133','Model 3','2017','item_enterprise_13_132','马斯克',100000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_134','Model Y','2020','item_enterprise_13_132','马斯克',100000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_135','Google','2003','item_enterprise_13_133','拉里佩奇',50000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_136','Android','2007','item_enterprise_13_133','拉里佩奇',50000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_137','aws','2004','item_enterprise_13_134','贝索斯',100000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_138','kindle','2007','item_enterprise_13_134','贝索斯',100000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_139','H100','2022','item_enterprise_13_135','黄仁勋',100000000);
INSERT into brand(brand_id,brand_name,brand_established_time,company_id,legal_representative,registered_capital) VALUES ('item_brand_13_140','A100','2021','item_enterprise_13_135','黄仁勋',100000000);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_131',12100000000, 2100000000,10,10);
insert into brand_revenue(year_time,brand_id,revenue,profit,revenue_growth_year_on_year,profit_growth_year_on_year) VALUES ('2023','item_brand_13_132',12200000000, 2200000000,20,20);

6
launchers/standalone/src/main/resources/db/schema-postgres.sql
View File

@@ -73,10 +73,10 @@ CREATE TABLE IF NOT EXISTS s2_chat_memory (
agent_id INTEGER,
db_schema TEXT,
s2_sql TEXT,
status char(10),
llm_review char(10),
status varchar(20),
llm_review varchar(20),
llm_comment TEXT,
human_review char(10),
human_review varchar(20),
human_comment TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,