feat: manually mirror opencoze's code from bytedance

Change-Id: I09a73aadda978ad9511264a756b2ce51f5761adf
This commit is contained in:
fanlv
2025-07-20 17:36:12 +08:00
commit 890153324f
14811 changed files with 1923430 additions and 0 deletions

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/*
* Copyright 2025 coze-dev Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package builtin
import (
"context"
"encoding/json"
"errors"
"fmt"
"strings"
"github.com/cloudwego/eino/components/prompt"
"github.com/cloudwego/eino/compose"
"github.com/cloudwego/eino/schema"
"github.com/coze-dev/coze-studio/backend/infra/contract/chatmodel"
"github.com/coze-dev/coze-studio/backend/infra/contract/document"
"github.com/coze-dev/coze-studio/backend/infra/contract/document/nl2sql"
"github.com/coze-dev/coze-studio/backend/pkg/logs"
)
const (
defaultTableFmt = "table name: %s.\ntable describe: %s.\n\n| field name | description | field type | is required |\n"
defaultColumnFmt = "| %s | %s | %s | %t |\n\n"
)
func NewNL2SQL(_ context.Context, cm chatmodel.BaseChatModel, tpl prompt.ChatTemplate) (nl2sql.NL2SQL, error) {
return &n2s{cm: cm, tpl: tpl}, nil
}
type n2s struct {
ch *compose.Chain[*nl2sqlInput, string]
runnable compose.Runnable[*nl2sqlInput, string]
cm chatmodel.BaseChatModel
tpl prompt.ChatTemplate
}
func (n *n2s) NL2SQL(ctx context.Context, messages []*schema.Message, tables []*document.TableSchema, opts ...nl2sql.Option) (sql string, err error) {
o := &nl2sql.Options{ChatModel: n.cm}
for _, opt := range opts {
opt(o)
}
if o.ChatModel == nil {
return "", fmt.Errorf("[NL2SQL] chat model not configured")
}
c := compose.NewChain[*nl2sqlInput, string]().
AppendLambda(compose.InvokableLambda(func(ctx context.Context, input *nl2sqlInput) (output map[string]any, err error) {
if len(input.tables) == 0 {
return nil, errors.New("table meta is empty")
}
tableDesc := strings.Builder{}
for _, table := range input.tables {
tableDesc.WriteString(fmt.Sprintf(defaultTableFmt, table.Name, table.Comment))
for _, column := range table.Columns {
tableDesc.WriteString(fmt.Sprintf(defaultColumnFmt, column.Name, column.Description, column.Type.String(), !column.Nullable))
}
}
//logs.CtxInfof(ctx, "table schema: %s", tableDesc.String())
return map[string]interface{}{
"messages": input.messages,
"table_schema": tableDesc.String(),
}, nil
})).
AppendChatTemplate(n.tpl).
AppendChatModel(o.ChatModel).
AppendLambda(compose.InvokableLambda(func(ctx context.Context, msg *schema.Message) (sql string, err error) {
var promptResp *promptResponse
if err := json.Unmarshal([]byte(msg.Content), &promptResp); err != nil {
logs.CtxWarnf(ctx, "unmarshal failed: %v", err)
return "", err
}
if promptResp.SQL == "" {
logs.CtxInfof(ctx, "no sql generated, err_code: %v, err_msg: %v", promptResp.ErrCode, promptResp.ErrMsg)
return "", errors.New(promptResp.ErrMsg)
}
return promptResp.SQL, nil
}))
r, err := c.Compile(ctx)
if err != nil {
return "", err
}
input := &nl2sqlInput{
messages: messages,
tables: tables,
}
return r.Invoke(ctx, input)
}
type nl2sqlInput struct {
messages []*schema.Message
tables []*document.TableSchema
}
type promptResponse struct {
SQL string `json:"sql"`
ErrCode int `json:"err_code"`
ErrMsg string `json:"err_msg"`
}

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/*
* Copyright 2025 coze-dev Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package builtin
import (
"context"
"testing"
"github.com/cloudwego/eino/components/model"
"github.com/cloudwego/eino/components/prompt"
"github.com/cloudwego/eino/schema"
"github.com/stretchr/testify/assert"
"github.com/coze-dev/coze-studio/backend/infra/contract/document"
)
func TestNL2SQL(t *testing.T) {
ctx := context.Background()
t.Run("test table meta not provided", func(t *testing.T) {
impl, err := NewNL2SQL(ctx, &mockChatModel{"mock resp"}, prompt.FromMessages(schema.Jinja2,
schema.SystemMessage("system message 123"),
schema.UserMessage("{{messages}}, {{table_meta}}"),
))
assert.NoError(t, err)
sql, err := impl.NL2SQL(ctx, []*schema.Message{schema.UserMessage("hello")}, nil)
assert.Error(t, err)
assert.Equal(t, "", sql)
})
t.Run("test parse failed", func(t *testing.T) {
impl, err := NewNL2SQL(ctx, &mockChatModel{"mock resp"}, prompt.FromMessages(schema.Jinja2,
schema.SystemMessage("system message 123"),
schema.UserMessage("{{messages}}, {{table_meta}}"),
))
assert.NoError(t, err)
sql, err := impl.NL2SQL(ctx, []*schema.Message{schema.UserMessage("hello")}, []*document.TableSchema{
{
Name: "mock_table_1",
Comment: "hello",
Columns: []*document.Column{
{
ID: 121,
Name: "id",
Type: document.TableColumnTypeInteger,
Description: "test",
Nullable: false,
IsPrimary: true,
Sequence: 0,
},
{
ID: 123,
Name: "col_1",
Type: document.TableColumnTypeString,
Description: "column_1",
Nullable: true,
IsPrimary: false,
Sequence: 1,
},
},
},
})
assert.Error(t, err)
assert.Equal(t, "", sql)
})
t.Run("test success", func(t *testing.T) {
impl, err := NewNL2SQL(ctx, &mockChatModel{`{"sql":"mock sql","err_code":0,"err_msg":""}`}, prompt.FromMessages(schema.Jinja2,
schema.SystemMessage("system message 123"),
schema.UserMessage("{{messages}}, {{table_meta}}"),
))
assert.NoError(t, err)
sql, err := impl.NL2SQL(ctx, []*schema.Message{schema.UserMessage("hello")}, []*document.TableSchema{
{
Name: "mock_table_1",
Comment: "hello",
Columns: []*document.Column{
{
ID: 121,
Name: "id",
Type: document.TableColumnTypeInteger,
Description: "test",
Nullable: false,
IsPrimary: true,
Sequence: 0,
},
{
ID: 123,
Name: "col_1",
Type: document.TableColumnTypeString,
Description: "column_1",
Nullable: true,
IsPrimary: false,
Sequence: 1,
},
},
},
})
assert.NoError(t, err)
assert.Equal(t, "mock sql", sql)
})
}
type mockChatModel struct {
content string
}
func (m mockChatModel) Generate(ctx context.Context, input []*schema.Message, opts ...model.Option) (*schema.Message, error) {
return schema.AssistantMessage(m.content, nil), nil
}
func (m mockChatModel) Stream(ctx context.Context, input []*schema.Message, opts ...model.Option) (*schema.StreamReader[*schema.Message], error) {
return nil, nil
}
func (m mockChatModel) BindTools(tools []*schema.ToolInfo) error {
return nil
}
const sys = "# Role: NL2SQL Consultant\n\n## Goals\nTranslate natural language statements into SQL queries in MySQL standard. Follow the Constraints and return only a JSON always.\n\n## Format\n- JSON format only. JSON contains field \"sql\" for generated SQL, filed \"err_code\" for reason type, field \"err_msg\" for detail reason (prefer more than 10 words)\n- Don't use \"```json\" markdown format\n\n## Skills\n- Good at Translate natural language statements into SQL queries in MySQL standard.\n\n## Define\n\"err_code\" Reason Type Define:\n- 0 means you generated a SQL\n- 3002 means you cannot generate a SQL because of timeout\n- 3003 means you cannot generate a SQL because of table schema missing\n- 3005 means you cannot generate a SQL because of some term is ambiguous\n\n## Example\nQ: Help me implement NL2SQL.\n.table schema description: CREATE TABLE `sales_records` (\\n `sales_id` bigint(20) unsigned NOT NULL COMMENT 'id of sales person',\\n `product_id` bigint(64) COMMENT 'id of product',\\n `sale_date` datetime(3) COMMENT 'sold date and time',\\n `quantity_sold` int(11) COMMENT 'sold amount',\\n PRIMARY KEY (`sales_id`)\\n) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='销售记录表';\n.natural language description of the SQL requirement: ​​​​查询上月的销量总额第一名的销售员和他的销售总额\nA: {\n \"sql\":\"SELECT sales_id, SUM(quantity_sold) AS total_sales FROM sales_records WHERE MONTH(sale_date) = MONTH(CURRENT_DATE - INTERVAL 1 MONTH) AND YEAR(sale_date) = YEAR(CURRENT_DATE - INTERVAL 1 MONTH) GROUP BY sales_id ORDER BY total_sales DESC LIMIT 1\",\n \"err_code\":0,\n \"err_msg\":\"SQL query generated successfully\"\n}"
const usr = "help me implement NL2SQL.\ntable schema description:{{tableSchema}}\nnatural language description of the SQL requirement: {{chat_history}}."