Add data source ids to copilot request

This commit is contained in:
akhisud3195 2025-05-12 20:40:02 +05:30
parent 9c712250fb
commit 462a2fb651
5 changed files with 70 additions and 13 deletions

View file

@ -1,5 +1,5 @@
from flask import Flask, request, jsonify, Response, stream_with_context
from pydantic import BaseModel, ValidationError
from pydantic import BaseModel, ValidationError, Field
from typing import List, Optional
from copilot import UserMessage, AssistantMessage, get_response
from streaming import get_streaming_response
@ -10,6 +10,7 @@ from copilot import copilot_instructions_edit_agent
import json
class DataSource(BaseModel):
id: str = Field(alias='_id')
name: str
description: Optional[str] = None
active: bool = True
@ -17,6 +18,9 @@ class DataSource(BaseModel):
error: Optional[str] = None
data: dict # The discriminated union based on type
class Config:
populate_by_name = True
class ApiRequest(BaseModel):
messages: List[UserMessage | AssistantMessage]
workflow_schema: str
@ -61,7 +65,10 @@ def health():
@require_api_key
def chat_stream():
try:
request_data = ApiRequest(**request.json)
raw_data = request.json
print(f"Raw request JSON: {json.dumps(raw_data)}")
request_data = ApiRequest(**raw_data)
print(f"received /chat_stream request: {request_data}")
validate_request(request_data)

View file

@ -16,6 +16,7 @@ class AssistantMessage(BaseModel):
content: str
class DataSource(BaseModel):
_id: str
name: str
description: Optional[str] = None
active: bool = True

View file

@ -1,6 +1,6 @@
from openai import OpenAI
from flask import Flask, request, jsonify, Response, stream_with_context
from pydantic import BaseModel, ValidationError
from pydantic import BaseModel, ValidationError, Field
from typing import List, Dict, Any, Literal, Optional
import json
from lib import AgentContext, PromptContext, ToolContext, ChatContext
@ -16,6 +16,7 @@ class AssistantMessage(BaseModel):
content: str
class DataSource(BaseModel):
id: str = Field(alias='_id')
name: str
description: Optional[str] = None
active: bool = True
@ -23,6 +24,9 @@ class DataSource(BaseModel):
error: Optional[str] = None
data: dict # The discriminated union based on type
class Config:
populate_by_name = True
with open('copilot_multi_agent.md', 'r', encoding='utf-8') as file:
copilot_instructions_multi_agent = file.read()
@ -81,6 +85,7 @@ def get_streaming_response(
data_sources_prompt = ""
if dataSources:
print(f"Data sources found at project level: {dataSources}")
print(f"Data source IDs: {[ds.id for ds in dataSources]}")
data_sources_prompt = f"""
**NOTE**: The following data sources are available:
```json
@ -136,6 +141,8 @@ def create_app():
if not request_data or 'messages' not in request_data:
return jsonify({'error': 'No messages provided'}), 400
print(f"Raw request data: {request_data}")
messages = [
UserMessage(**msg) if msg['role'] == 'user' else AssistantMessage(**msg)
for msg in request_data['messages']
@ -144,13 +151,19 @@ def create_app():
workflow_schema = request_data.get('workflow_schema', '')
current_workflow_config = request_data.get('current_workflow_config', '')
context = None # You can add context handling if needed
dataSources = None
if 'dataSources' in request_data and request_data['dataSources']:
print(f"Raw dataSources from request: {request_data['dataSources']}")
dataSources = [DataSource(**ds) for ds in request_data['dataSources']]
print(f"Parsed dataSources: {dataSources}")
def generate():
stream = get_streaming_response(
messages=messages,
workflow_schema=workflow_schema,
current_workflow_config=current_workflow_config,
context=context
context=context,
dataSources=dataSources
)
for chunk in stream:

View file

@ -38,7 +38,24 @@ export async function getCopilotResponse(
workflow_schema: JSON.stringify(zodToJsonSchema(CopilotWorkflow)),
current_workflow_config: JSON.stringify(convertToCopilotWorkflow(current_workflow_config)),
context: context ? convertToCopilotApiChatContext(context) : null,
dataSources: dataSources ? dataSources.map(ds => CopilotDataSource.parse(ds)) : undefined,
dataSources: dataSources ? dataSources.map(ds => {
console.log('Original data source:', JSON.stringify(ds));
// First parse to validate, then ensure _id is included
CopilotDataSource.parse(ds); // validate but don't use the result
// Cast to any to handle the WithStringId type
const withId = ds as any;
const result = {
_id: withId._id,
name: withId.name,
description: withId.description,
active: withId.active,
status: withId.status,
error: withId.error,
data: withId.data
};
console.log('Processed data source:', JSON.stringify(result));
return result;
}) : undefined,
};
console.log(`sending copilot request`, JSON.stringify(request));

View file

@ -6,14 +6,33 @@ import { convertToAgenticAPIChatMessages } from "./agents_api_types";
import { DataSource } from "./datasource_types";
// Create a filtered version of DataSource for copilot
export const CopilotDataSource = DataSource.omit({
projectId: true,
version: true,
attempts: true,
createdAt: true,
lastUpdatedAt: true,
pendingRefresh: true,
});
export const CopilotDataSource = z.object({
_id: z.string(),
name: z.string(),
description: z.string().optional(),
active: z.boolean().default(true),
status: z.union([
z.literal('pending'),
z.literal('ready'),
z.literal('error'),
z.literal('deleted'),
]),
error: z.string().optional(),
data: z.discriminatedUnion('type', [
z.object({
type: z.literal('urls'),
}),
z.object({
type: z.literal('files_local'),
}),
z.object({
type: z.literal('files_s3'),
}),
z.object({
type: z.literal('text'),
})
]),
}).passthrough();
export const CopilotWorkflow = Workflow.omit({
lastUpdatedAt: true,