feat: move main API to python
This commit is contained in:
484
src/backend/.gitignore
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484
src/backend/.gitignore
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@@ -1,484 +0,0 @@
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@@ -1,34 +0,0 @@
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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio Version 17
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VisualStudioVersion = 17.0.31903.59
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MinimumVisualStudioVersion = 10.0.40219.1
|
||||
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "KwisatzHaderach", "KwisatzHaderach\KwisatzHaderach.csproj", "{231D4FDD-27E9-4D73-B94B-48B9F9F97860}"
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EndProject
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Global
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Debug|Any CPU = Debug|Any CPU
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Debug|x86 = Debug|x86
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Release|Any CPU = Release|Any CPU
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Release|x64 = Release|x64
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||||
Release|x86 = Release|x86
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EndGlobalSection
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||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||
{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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||||
{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Debug|x64.ActiveCfg = Debug|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Debug|x64.Build.0 = Debug|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Debug|x86.ActiveCfg = Debug|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Debug|x86.Build.0 = Debug|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Release|Any CPU.Build.0 = Release|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Release|x64.ActiveCfg = Release|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Release|x64.Build.0 = Release|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Release|x86.ActiveCfg = Release|Any CPU
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{231D4FDD-27E9-4D73-B94B-48B9F9F97860}.Release|x86.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
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EndGlobalSection
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EndGlobal
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||||
@@ -1,6 +0,0 @@
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||||
namespace KwisatzHaderach.Configuration;
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||||
|
||||
public record AIOptions
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||||
{
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||||
public required string Host { get; init; }
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||||
}
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||||
@@ -1,71 +0,0 @@
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||||
using KwisatzHaderach.Infrastructure.Api;
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||||
using KwisatzHaderach.Models;
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||||
using Microsoft.AspNetCore.Mvc;
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||||
using System.Runtime.CompilerServices;
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||||
using System.Text.Json;
|
||||
|
||||
namespace KwisatzHaderach.Controllers;
|
||||
|
||||
[ApiController]
|
||||
[Route("[controller]")]
|
||||
public class PromptController : ControllerBase
|
||||
{
|
||||
public record StreamChunk(string? Content);
|
||||
|
||||
[HttpPost("ask")]
|
||||
public async IAsyncEnumerable<StreamChunk> GetPromptResponseAsync([FromBody] PromptRequest req,
|
||||
ILLMClient llmClient,
|
||||
[EnumeratorCancellation] CancellationToken cancellationToken)
|
||||
{
|
||||
|
||||
var jsonSerializerOptions = new JsonSerializerOptions { PropertyNameCaseInsensitive = true };
|
||||
HttpResponseMessage? llmResponse = null;
|
||||
|
||||
StreamChunk? errorChunk = null;
|
||||
Exception? capturedException = null;
|
||||
try
|
||||
{
|
||||
llmResponse = await llmClient.GetPromptResponseAsync(req, cancellationToken);
|
||||
llmResponse.EnsureSuccessStatusCode();
|
||||
}
|
||||
catch (OperationCanceledException opEx)
|
||||
{
|
||||
capturedException = opEx;
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
errorChunk = new($"[ERROR] Error reading LLM response: {ex.Message}");
|
||||
capturedException = ex;
|
||||
}
|
||||
|
||||
if (capturedException != null || llmResponse == null)
|
||||
{
|
||||
if (errorChunk != null)
|
||||
{
|
||||
yield return errorChunk;
|
||||
}
|
||||
yield break;
|
||||
}
|
||||
|
||||
|
||||
using (llmResponse)
|
||||
{
|
||||
await using var responseStream = await llmResponse.Content.ReadAsStreamAsync(cancellationToken);
|
||||
|
||||
using var reader = new StreamReader(responseStream);
|
||||
|
||||
// Read the stream chunk by chunk until the server closes the connection.
|
||||
char[] buffer = new char[1024]; // Read in chunks of 1KB
|
||||
int bytesRead;
|
||||
while ((bytesRead = await reader.ReadAsync(buffer, 0, buffer.Length)) > 0)
|
||||
{
|
||||
// Get the string content that was just read.
|
||||
string textChunk = new string(buffer, 0, bytesRead);
|
||||
// Wrap the raw string into the StreamChunk object that the React client expects.
|
||||
yield return new StreamChunk(textChunk);
|
||||
}
|
||||
}
|
||||
|
||||
yield break;
|
||||
}
|
||||
}
|
||||
@@ -1,10 +0,0 @@
|
||||
using KwisatzHaderach.Models;
|
||||
using Refit;
|
||||
|
||||
namespace KwisatzHaderach.Infrastructure.Api;
|
||||
|
||||
public interface ILLMClient
|
||||
{
|
||||
[Post("/ask-stream")]
|
||||
Task<HttpResponseMessage> GetPromptResponseAsync([Body]PromptRequest req, CancellationToken cancellationToken);
|
||||
}
|
||||
@@ -1,14 +0,0 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk.Web">
|
||||
|
||||
<PropertyGroup>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
<Nullable>enable</Nullable>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Microsoft.AspNetCore.OpenApi" Version="9.0.9" />
|
||||
<PackageReference Include="Refit.HttpClientFactory" Version="8.0.0" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
@@ -1,7 +0,0 @@
|
||||
using System.Text.Json.Serialization;
|
||||
|
||||
namespace KwisatzHaderach.Models;
|
||||
|
||||
public record PromptRequest(
|
||||
[property: JsonPropertyName("question")]string Question
|
||||
);
|
||||
@@ -1,38 +0,0 @@
|
||||
using KwisatzHaderach.Configuration;
|
||||
using KwisatzHaderach.Infrastructure.Api;
|
||||
using Microsoft.Extensions.Options;
|
||||
using Refit;
|
||||
|
||||
var builder = WebApplication.CreateBuilder(args);
|
||||
|
||||
// Add services to the container.
|
||||
|
||||
builder.Services.AddControllers();
|
||||
builder.Services.AddOpenApi();
|
||||
|
||||
builder.Services.Configure<AIOptions>(
|
||||
builder.Configuration.GetSection("AI")
|
||||
);
|
||||
|
||||
builder.Services.AddRefitClient<ILLMClient>()
|
||||
.ConfigureHttpClient((provider, client) =>
|
||||
{
|
||||
IOptions<AIOptions> aiOptions = provider.GetRequiredService<IOptions<AIOptions>>();
|
||||
client.BaseAddress = new(aiOptions.Value.Host);
|
||||
});
|
||||
|
||||
var app = builder.Build();
|
||||
|
||||
// Configure the HTTP request pipeline.
|
||||
if (app.Environment.IsDevelopment())
|
||||
{
|
||||
app.MapOpenApi();
|
||||
}
|
||||
|
||||
app.UseHttpsRedirection();
|
||||
|
||||
app.UseAuthorization();
|
||||
|
||||
app.MapControllers();
|
||||
|
||||
app.Run();
|
||||
@@ -1,23 +0,0 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/launchsettings.json",
|
||||
"profiles": {
|
||||
"http": {
|
||||
"commandName": "Project",
|
||||
"dotnetRunMessages": true,
|
||||
"launchBrowser": false,
|
||||
"applicationUrl": "http://localhost:5187",
|
||||
"environmentVariables": {
|
||||
"ASPNETCORE_ENVIRONMENT": "Development"
|
||||
}
|
||||
},
|
||||
"https": {
|
||||
"commandName": "Project",
|
||||
"dotnetRunMessages": true,
|
||||
"launchBrowser": false,
|
||||
"applicationUrl": "https://localhost:7056;http://localhost:5187",
|
||||
"environmentVariables": {
|
||||
"ASPNETCORE_ENVIRONMENT": "Development"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,11 +0,0 @@
|
||||
{
|
||||
"Logging": {
|
||||
"LogLevel": {
|
||||
"Default": "Information",
|
||||
"Microsoft.AspNetCore": "Warning"
|
||||
}
|
||||
},
|
||||
"AI": {
|
||||
"Host": "http://127.0.0.1:8000"
|
||||
}
|
||||
}
|
||||
@@ -1,9 +0,0 @@
|
||||
{
|
||||
"Logging": {
|
||||
"LogLevel": {
|
||||
"Default": "Information",
|
||||
"Microsoft.AspNetCore": "Warning"
|
||||
}
|
||||
},
|
||||
"AllowedHosts": "*"
|
||||
}
|
||||
24
src/frontend/.gitignore
vendored
Normal file
24
src/frontend/.gitignore
vendored
Normal file
@@ -0,0 +1,24 @@
|
||||
# Logs
|
||||
logs
|
||||
*.log
|
||||
npm-debug.log*
|
||||
yarn-debug.log*
|
||||
yarn-error.log*
|
||||
pnpm-debug.log*
|
||||
lerna-debug.log*
|
||||
|
||||
node_modules
|
||||
dist
|
||||
dist-ssr
|
||||
*.local
|
||||
|
||||
# Editor directories and files
|
||||
.vscode/*
|
||||
!.vscode/extensions.json
|
||||
.idea
|
||||
.DS_Store
|
||||
*.suo
|
||||
*.ntvs*
|
||||
*.njsproj
|
||||
*.sln
|
||||
*.sw?
|
||||
69
src/frontend/README.md
Normal file
69
src/frontend/README.md
Normal file
@@ -0,0 +1,69 @@
|
||||
# React + TypeScript + Vite
|
||||
|
||||
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
|
||||
|
||||
Currently, two official plugins are available:
|
||||
|
||||
- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) for Fast Refresh
|
||||
- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
|
||||
|
||||
## Expanding the ESLint configuration
|
||||
|
||||
If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules:
|
||||
|
||||
```js
|
||||
export default defineConfig([
|
||||
globalIgnores(['dist']),
|
||||
{
|
||||
files: ['**/*.{ts,tsx}'],
|
||||
extends: [
|
||||
// Other configs...
|
||||
|
||||
// Remove tseslint.configs.recommended and replace with this
|
||||
tseslint.configs.recommendedTypeChecked,
|
||||
// Alternatively, use this for stricter rules
|
||||
tseslint.configs.strictTypeChecked,
|
||||
// Optionally, add this for stylistic rules
|
||||
tseslint.configs.stylisticTypeChecked,
|
||||
|
||||
// Other configs...
|
||||
],
|
||||
languageOptions: {
|
||||
parserOptions: {
|
||||
project: ['./tsconfig.node.json', './tsconfig.app.json'],
|
||||
tsconfigRootDir: import.meta.dirname,
|
||||
},
|
||||
// other options...
|
||||
},
|
||||
},
|
||||
])
|
||||
```
|
||||
|
||||
You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules:
|
||||
|
||||
```js
|
||||
// eslint.config.js
|
||||
import reactX from 'eslint-plugin-react-x'
|
||||
import reactDom from 'eslint-plugin-react-dom'
|
||||
|
||||
export default defineConfig([
|
||||
globalIgnores(['dist']),
|
||||
{
|
||||
files: ['**/*.{ts,tsx}'],
|
||||
extends: [
|
||||
// Other configs...
|
||||
// Enable lint rules for React
|
||||
reactX.configs['recommended-typescript'],
|
||||
// Enable lint rules for React DOM
|
||||
reactDom.configs.recommended,
|
||||
],
|
||||
languageOptions: {
|
||||
parserOptions: {
|
||||
project: ['./tsconfig.node.json', './tsconfig.app.json'],
|
||||
tsconfigRootDir: import.meta.dirname,
|
||||
},
|
||||
// other options...
|
||||
},
|
||||
},
|
||||
])
|
||||
```
|
||||
23
src/frontend/eslint.config.js
Normal file
23
src/frontend/eslint.config.js
Normal file
@@ -0,0 +1,23 @@
|
||||
import js from '@eslint/js'
|
||||
import globals from 'globals'
|
||||
import reactHooks from 'eslint-plugin-react-hooks'
|
||||
import reactRefresh from 'eslint-plugin-react-refresh'
|
||||
import tseslint from 'typescript-eslint'
|
||||
import { defineConfig, globalIgnores } from 'eslint/config'
|
||||
|
||||
export default defineConfig([
|
||||
globalIgnores(['dist']),
|
||||
{
|
||||
files: ['**/*.{ts,tsx}'],
|
||||
extends: [
|
||||
js.configs.recommended,
|
||||
tseslint.configs.recommended,
|
||||
reactHooks.configs['recommended-latest'],
|
||||
reactRefresh.configs.vite,
|
||||
],
|
||||
languageOptions: {
|
||||
ecmaVersion: 2020,
|
||||
globals: globals.browser,
|
||||
},
|
||||
},
|
||||
])
|
||||
13
src/frontend/index.html
Normal file
13
src/frontend/index.html
Normal file
@@ -0,0 +1,13 @@
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>Vite + React + TS</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="root"></div>
|
||||
<script type="module" src="/src/main.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
3405
src/frontend/package-lock.json
generated
Normal file
3405
src/frontend/package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
29
src/frontend/package.json
Normal file
29
src/frontend/package.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"name": "kwisatz-haderach",
|
||||
"private": true,
|
||||
"version": "0.0.0",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "vite",
|
||||
"build": "tsc -b && vite build",
|
||||
"lint": "eslint .",
|
||||
"preview": "vite preview"
|
||||
},
|
||||
"dependencies": {
|
||||
"react": "^19.1.1",
|
||||
"react-dom": "^19.1.1"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@eslint/js": "^9.35.0",
|
||||
"@types/react": "^19.1.13",
|
||||
"@types/react-dom": "^19.1.9",
|
||||
"@vitejs/plugin-react": "^5.0.2",
|
||||
"eslint": "^9.35.0",
|
||||
"eslint-plugin-react-hooks": "^5.2.0",
|
||||
"eslint-plugin-react-refresh": "^0.4.20",
|
||||
"globals": "^16.4.0",
|
||||
"typescript": "~5.8.3",
|
||||
"typescript-eslint": "^8.43.0",
|
||||
"vite": "^7.1.6"
|
||||
}
|
||||
}
|
||||
1
src/frontend/public/vite.svg
Normal file
1
src/frontend/public/vite.svg
Normal file
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="31.88" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 257"><defs><linearGradient id="IconifyId1813088fe1fbc01fb466" x1="-.828%" x2="57.636%" y1="7.652%" y2="78.411%"><stop offset="0%" stop-color="#41D1FF"></stop><stop offset="100%" stop-color="#BD34FE"></stop></linearGradient><linearGradient id="IconifyId1813088fe1fbc01fb467" x1="43.376%" x2="50.316%" y1="2.242%" y2="89.03%"><stop offset="0%" stop-color="#FFEA83"></stop><stop offset="8.333%" stop-color="#FFDD35"></stop><stop offset="100%" stop-color="#FFA800"></stop></linearGradient></defs><path fill="url(#IconifyId1813088fe1fbc01fb466)" d="M255.153 37.938L134.897 252.976c-2.483 4.44-8.862 4.466-11.382.048L.875 37.958c-2.746-4.814 1.371-10.646 6.827-9.67l120.385 21.517a6.537 6.537 0 0 0 2.322-.004l117.867-21.483c5.438-.991 9.574 4.796 6.877 9.62Z"></path><path fill="url(#IconifyId1813088fe1fbc01fb467)" d="M185.432.063L96.44 17.501a3.268 3.268 0 0 0-2.634 3.014l-5.474 92.456a3.268 3.268 0 0 0 3.997 3.378l24.777-5.718c2.318-.535 4.413 1.507 3.936 3.838l-7.361 36.047c-.495 2.426 1.782 4.5 4.151 3.78l15.304-4.649c2.372-.72 4.652 1.36 4.15 3.788l-11.698 56.621c-.732 3.542 3.979 5.473 5.943 2.437l1.313-2.028l72.516-144.72c1.215-2.423-.88-5.186-3.54-4.672l-25.505 4.922c-2.396.462-4.435-1.77-3.759-4.114l16.646-57.705c.677-2.35-1.37-4.583-3.769-4.113Z"></path></svg>
|
||||
|
After Width: | Height: | Size: 1.5 KiB |
42
src/frontend/src/App.css
Normal file
42
src/frontend/src/App.css
Normal file
@@ -0,0 +1,42 @@
|
||||
#root {
|
||||
max-width: 1280px;
|
||||
margin: 0 auto;
|
||||
padding: 2rem;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.logo {
|
||||
height: 6em;
|
||||
padding: 1.5em;
|
||||
will-change: filter;
|
||||
transition: filter 300ms;
|
||||
}
|
||||
.logo:hover {
|
||||
filter: drop-shadow(0 0 2em #646cffaa);
|
||||
}
|
||||
.logo.react:hover {
|
||||
filter: drop-shadow(0 0 2em #61dafbaa);
|
||||
}
|
||||
|
||||
@keyframes logo-spin {
|
||||
from {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
|
||||
@media (prefers-reduced-motion: no-preference) {
|
||||
a:nth-of-type(2) .logo {
|
||||
animation: logo-spin infinite 20s linear;
|
||||
}
|
||||
}
|
||||
|
||||
.card {
|
||||
padding: 2em;
|
||||
}
|
||||
|
||||
.read-the-docs {
|
||||
color: #888;
|
||||
}
|
||||
35
src/frontend/src/App.tsx
Normal file
35
src/frontend/src/App.tsx
Normal file
@@ -0,0 +1,35 @@
|
||||
import { useState } from 'react'
|
||||
import reactLogo from './assets/react.svg'
|
||||
import viteLogo from '/vite.svg'
|
||||
import './App.css'
|
||||
|
||||
function App() {
|
||||
const [count, setCount] = useState(0)
|
||||
|
||||
return (
|
||||
<>
|
||||
<div>
|
||||
<a href="https://vite.dev" target="_blank">
|
||||
<img src={viteLogo} className="logo" alt="Vite logo" />
|
||||
</a>
|
||||
<a href="https://react.dev" target="_blank">
|
||||
<img src={reactLogo} className="logo react" alt="React logo" />
|
||||
</a>
|
||||
</div>
|
||||
<h1>Vite + React</h1>
|
||||
<div className="card">
|
||||
<button onClick={() => setCount((count) => count + 1)}>
|
||||
count is {count}
|
||||
</button>
|
||||
<p>
|
||||
Edit <code>src/App.tsx</code> and save to test HMR
|
||||
</p>
|
||||
</div>
|
||||
<p className="read-the-docs">
|
||||
Click on the Vite and React logos to learn more
|
||||
</p>
|
||||
</>
|
||||
)
|
||||
}
|
||||
|
||||
export default App
|
||||
1
src/frontend/src/assets/react.svg
Normal file
1
src/frontend/src/assets/react.svg
Normal file
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="35.93" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 228"><path fill="#00D8FF" d="M210.483 73.824a171.49 171.49 0 0 0-8.24-2.597c.465-1.9.893-3.777 1.273-5.621c6.238-30.281 2.16-54.676-11.769-62.708c-13.355-7.7-35.196.329-57.254 19.526a171.23 171.23 0 0 0-6.375 5.848a155.866 155.866 0 0 0-4.241-3.917C100.759 3.829 77.587-4.822 63.673 3.233C50.33 10.957 46.379 33.89 51.995 62.588a170.974 170.974 0 0 0 1.892 8.48c-3.28.932-6.445 1.924-9.474 2.98C17.309 83.498 0 98.307 0 113.668c0 15.865 18.582 31.778 46.812 41.427a145.52 145.52 0 0 0 6.921 2.165a167.467 167.467 0 0 0-2.01 9.138c-5.354 28.2-1.173 50.591 12.134 58.266c13.744 7.926 36.812-.22 59.273-19.855a145.567 145.567 0 0 0 5.342-4.923a168.064 168.064 0 0 0 6.92 6.314c21.758 18.722 43.246 26.282 56.54 18.586c13.731-7.949 18.194-32.003 12.4-61.268a145.016 145.016 0 0 0-1.535-6.842c1.62-.48 3.21-.974 4.76-1.488c29.348-9.723 48.443-25.443 48.443-41.52c0-15.417-17.868-30.326-45.517-39.844Zm-6.365 70.984c-1.4.463-2.836.91-4.3 1.345c-3.24-10.257-7.612-21.163-12.963-32.432c5.106-11 9.31-21.767 12.459-31.957c2.619.758 5.16 1.557 7.61 2.4c23.69 8.156 38.14 20.213 38.14 29.504c0 9.896-15.606 22.743-40.946 31.14Zm-10.514 20.834c2.562 12.94 2.927 24.64 1.23 33.787c-1.524 8.219-4.59 13.698-8.382 15.893c-8.067 4.67-25.32-1.4-43.927-17.412a156.726 156.726 0 0 1-6.437-5.87c7.214-7.889 14.423-17.06 21.459-27.246c12.376-1.098 24.068-2.894 34.671-5.345a134.17 134.17 0 0 1 1.386 6.193ZM87.276 214.515c-7.882 2.783-14.16 2.863-17.955.675c-8.075-4.657-11.432-22.636-6.853-46.752a156.923 156.923 0 0 1 1.869-8.499c10.486 2.32 22.093 3.988 34.498 4.994c7.084 9.967 14.501 19.128 21.976 27.15a134.668 134.668 0 0 1-4.877 4.492c-9.933 8.682-19.886 14.842-28.658 17.94ZM50.35 144.747c-12.483-4.267-22.792-9.812-29.858-15.863c-6.35-5.437-9.555-10.836-9.555-15.216c0-9.322 13.897-21.212 37.076-29.293c2.813-.98 5.757-1.905 8.812-2.773c3.204 10.42 7.406 21.315 12.477 32.332c-5.137 11.18-9.399 22.249-12.634 32.792a134.718 134.718 0 0 1-6.318-1.979Zm12.378-84.26c-4.811-24.587-1.616-43.134 6.425-47.789c8.564-4.958 27.502 2.111 47.463 19.835a144.318 144.318 0 0 1 3.841 3.545c-7.438 7.987-14.787 17.08-21.808 26.988c-12.04 1.116-23.565 2.908-34.161 5.309a160.342 160.342 0 0 1-1.76-7.887Zm110.427 27.268a347.8 347.8 0 0 0-7.785-12.803c8.168 1.033 15.994 2.404 23.343 4.08c-2.206 7.072-4.956 14.465-8.193 22.045a381.151 381.151 0 0 0-7.365-13.322Zm-45.032-43.861c5.044 5.465 10.096 11.566 15.065 18.186a322.04 322.04 0 0 0-30.257-.006c4.974-6.559 10.069-12.652 15.192-18.18ZM82.802 87.83a323.167 323.167 0 0 0-7.227 13.238c-3.184-7.553-5.909-14.98-8.134-22.152c7.304-1.634 15.093-2.97 23.209-3.984a321.524 321.524 0 0 0-7.848 12.897Zm8.081 65.352c-8.385-.936-16.291-2.203-23.593-3.793c2.26-7.3 5.045-14.885 8.298-22.6a321.187 321.187 0 0 0 7.257 13.246c2.594 4.48 5.28 8.868 8.038 13.147Zm37.542 31.03c-5.184-5.592-10.354-11.779-15.403-18.433c4.902.192 9.899.29 14.978.29c5.218 0 10.376-.117 15.453-.343c-4.985 6.774-10.018 12.97-15.028 18.486Zm52.198-57.817c3.422 7.8 6.306 15.345 8.596 22.52c-7.422 1.694-15.436 3.058-23.88 4.071a382.417 382.417 0 0 0 7.859-13.026a347.403 347.403 0 0 0 7.425-13.565Zm-16.898 8.101a358.557 358.557 0 0 1-12.281 19.815a329.4 329.4 0 0 1-23.444.823c-7.967 0-15.716-.248-23.178-.732a310.202 310.202 0 0 1-12.513-19.846h.001a307.41 307.41 0 0 1-10.923-20.627a310.278 310.278 0 0 1 10.89-20.637l-.001.001a307.318 307.318 0 0 1 12.413-19.761c7.613-.576 15.42-.876 23.31-.876H128c7.926 0 15.743.303 23.354.883a329.357 329.357 0 0 1 12.335 19.695a358.489 358.489 0 0 1 11.036 20.54a329.472 329.472 0 0 1-11 20.722Zm22.56-122.124c8.572 4.944 11.906 24.881 6.52 51.026c-.344 1.668-.73 3.367-1.15 5.09c-10.622-2.452-22.155-4.275-34.23-5.408c-7.034-10.017-14.323-19.124-21.64-27.008a160.789 160.789 0 0 1 5.888-5.4c18.9-16.447 36.564-22.941 44.612-18.3ZM128 90.808c12.625 0 22.86 10.235 22.86 22.86s-10.235 22.86-22.86 22.86s-22.86-10.235-22.86-22.86s10.235-22.86 22.86-22.86Z"></path></svg>
|
||||
|
After Width: | Height: | Size: 4.0 KiB |
68
src/frontend/src/index.css
Normal file
68
src/frontend/src/index.css
Normal file
@@ -0,0 +1,68 @@
|
||||
:root {
|
||||
font-family: system-ui, Avenir, Helvetica, Arial, sans-serif;
|
||||
line-height: 1.5;
|
||||
font-weight: 400;
|
||||
|
||||
color-scheme: light dark;
|
||||
color: rgba(255, 255, 255, 0.87);
|
||||
background-color: #242424;
|
||||
|
||||
font-synthesis: none;
|
||||
text-rendering: optimizeLegibility;
|
||||
-webkit-font-smoothing: antialiased;
|
||||
-moz-osx-font-smoothing: grayscale;
|
||||
}
|
||||
|
||||
a {
|
||||
font-weight: 500;
|
||||
color: #646cff;
|
||||
text-decoration: inherit;
|
||||
}
|
||||
a:hover {
|
||||
color: #535bf2;
|
||||
}
|
||||
|
||||
body {
|
||||
margin: 0;
|
||||
display: flex;
|
||||
place-items: center;
|
||||
min-width: 320px;
|
||||
min-height: 100vh;
|
||||
}
|
||||
|
||||
h1 {
|
||||
font-size: 3.2em;
|
||||
line-height: 1.1;
|
||||
}
|
||||
|
||||
button {
|
||||
border-radius: 8px;
|
||||
border: 1px solid transparent;
|
||||
padding: 0.6em 1.2em;
|
||||
font-size: 1em;
|
||||
font-weight: 500;
|
||||
font-family: inherit;
|
||||
background-color: #1a1a1a;
|
||||
cursor: pointer;
|
||||
transition: border-color 0.25s;
|
||||
}
|
||||
button:hover {
|
||||
border-color: #646cff;
|
||||
}
|
||||
button:focus,
|
||||
button:focus-visible {
|
||||
outline: 4px auto -webkit-focus-ring-color;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: light) {
|
||||
:root {
|
||||
color: #213547;
|
||||
background-color: #ffffff;
|
||||
}
|
||||
a:hover {
|
||||
color: #747bff;
|
||||
}
|
||||
button {
|
||||
background-color: #f9f9f9;
|
||||
}
|
||||
}
|
||||
10
src/frontend/src/main.tsx
Normal file
10
src/frontend/src/main.tsx
Normal file
@@ -0,0 +1,10 @@
|
||||
import { StrictMode } from 'react'
|
||||
import { createRoot } from 'react-dom/client'
|
||||
import './index.css'
|
||||
import App from './App.tsx'
|
||||
|
||||
createRoot(document.getElementById('root')!).render(
|
||||
<StrictMode>
|
||||
<App />
|
||||
</StrictMode>,
|
||||
)
|
||||
1
src/frontend/src/vite-env.d.ts
vendored
Normal file
1
src/frontend/src/vite-env.d.ts
vendored
Normal file
@@ -0,0 +1 @@
|
||||
/// <reference types="vite/client" />
|
||||
27
src/frontend/tsconfig.app.json
Normal file
27
src/frontend/tsconfig.app.json
Normal file
@@ -0,0 +1,27 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
|
||||
"target": "ES2022",
|
||||
"useDefineForClassFields": true,
|
||||
"lib": ["ES2022", "DOM", "DOM.Iterable"],
|
||||
"module": "ESNext",
|
||||
"skipLibCheck": true,
|
||||
|
||||
/* Bundler mode */
|
||||
"moduleResolution": "bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"verbatimModuleSyntax": true,
|
||||
"moduleDetection": "force",
|
||||
"noEmit": true,
|
||||
"jsx": "react-jsx",
|
||||
|
||||
/* Linting */
|
||||
"strict": true,
|
||||
"noUnusedLocals": true,
|
||||
"noUnusedParameters": true,
|
||||
"erasableSyntaxOnly": true,
|
||||
"noFallthroughCasesInSwitch": true,
|
||||
"noUncheckedSideEffectImports": true
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
7
src/frontend/tsconfig.json
Normal file
7
src/frontend/tsconfig.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"files": [],
|
||||
"references": [
|
||||
{ "path": "./tsconfig.app.json" },
|
||||
{ "path": "./tsconfig.node.json" }
|
||||
]
|
||||
}
|
||||
25
src/frontend/tsconfig.node.json
Normal file
25
src/frontend/tsconfig.node.json
Normal file
@@ -0,0 +1,25 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
|
||||
"target": "ES2023",
|
||||
"lib": ["ES2023"],
|
||||
"module": "ESNext",
|
||||
"skipLibCheck": true,
|
||||
|
||||
/* Bundler mode */
|
||||
"moduleResolution": "bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"verbatimModuleSyntax": true,
|
||||
"moduleDetection": "force",
|
||||
"noEmit": true,
|
||||
|
||||
/* Linting */
|
||||
"strict": true,
|
||||
"noUnusedLocals": true,
|
||||
"noUnusedParameters": true,
|
||||
"erasableSyntaxOnly": true,
|
||||
"noFallthroughCasesInSwitch": true,
|
||||
"noUncheckedSideEffectImports": true
|
||||
},
|
||||
"include": ["vite.config.ts"]
|
||||
}
|
||||
7
src/frontend/vite.config.ts
Normal file
7
src/frontend/vite.config.ts
Normal file
@@ -0,0 +1,7 @@
|
||||
import { defineConfig } from 'vite'
|
||||
import react from '@vitejs/plugin-react'
|
||||
|
||||
// https://vite.dev/config/
|
||||
export default defineConfig({
|
||||
plugins: [react()],
|
||||
})
|
||||
259
src/llm/main.py
259
src/llm/main.py
@@ -3,6 +3,10 @@ from fastapi.responses import StreamingResponse
|
||||
from pydantic import BaseModel
|
||||
import requests
|
||||
import json
|
||||
import logging
|
||||
from datetime import datetime
|
||||
import uuid
|
||||
from typing import Optional
|
||||
|
||||
from langchain_community.vectorstores import Chroma
|
||||
from langchain_community.embeddings import HuggingFaceEmbeddings
|
||||
@@ -19,6 +23,7 @@ If you don't know the answer from the context provided, just say that you don't
|
||||
|
||||
Combine all the relevant information from the context below into a single, cohesive, and comprehensive answer.
|
||||
Do not break the answer into sections based on the source texts. Synthesize them.
|
||||
Do not start with "based on the context provided".
|
||||
The answer should be thorough and well-explained.
|
||||
|
||||
CONTEXT:
|
||||
@@ -30,25 +35,95 @@ QUESTION:
|
||||
ANSWER:
|
||||
"""
|
||||
|
||||
# --- Pydantic Models (Same as before) ---
|
||||
# --- Logging setup to match uvicorn format ---
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(levelname)s: %(name)s: %(message)s'
|
||||
)
|
||||
logger = logging.getLogger("dune_api")
|
||||
|
||||
# --- Conversation storage (in-memory for simplicity) ---
|
||||
conversations = {} # session_id -> list of {question, answer} pairs
|
||||
|
||||
# --- Pydantic Models ---
|
||||
class AskRequest(BaseModel):
|
||||
question: str
|
||||
|
||||
class ConversationRequest(BaseModel):
|
||||
question: str
|
||||
session_id: Optional[str] = None
|
||||
|
||||
# --- Initialize FastAPI and load resources (Same as before) ---
|
||||
app = FastAPI()
|
||||
embeddings = HuggingFaceEmbeddings(model_name=EMBEDDING_MODEL_NAME, model_kwargs={'trust_remote_code': True})
|
||||
vector_store = Chroma(persist_directory=DB_PATH, embedding_function=embeddings)
|
||||
retriever = vector_store.as_retriever(search_kwargs={"k": 8})
|
||||
app = FastAPI(
|
||||
title="Dune Expert API",
|
||||
description="Ask questions about the Dune universe and get expert answers",
|
||||
version="1.0.0"
|
||||
)
|
||||
|
||||
logger.info("Initializing Dune Expert API...")
|
||||
|
||||
try:
|
||||
embeddings = HuggingFaceEmbeddings(model_name=EMBEDDING_MODEL_NAME, model_kwargs={'trust_remote_code': True})
|
||||
vector_store = Chroma(persist_directory=DB_PATH, embedding_function=embeddings)
|
||||
retriever = vector_store.as_retriever(search_kwargs={"k": 8})
|
||||
logger.info("Successfully loaded embeddings and vector store")
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to initialize vector store: {e}")
|
||||
raise RuntimeError(f"Could not initialize vector store: {e}")
|
||||
|
||||
# --- Health check endpoint ---
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
return {"status": "healthy", "service": "dune-expert-api", "timestamp": datetime.now().isoformat()}
|
||||
|
||||
# --- Conversation management endpoints ---
|
||||
@app.post("/conversation/start")
|
||||
async def start_conversation():
|
||||
"""Start a new conversation and return a session ID"""
|
||||
session_id = str(uuid.uuid4())
|
||||
conversations[session_id] = []
|
||||
logger.info(f"Started new conversation: {session_id}")
|
||||
return {"session_id": session_id}
|
||||
|
||||
@app.get("/conversation/{session_id}/history")
|
||||
async def get_conversation_history(session_id: str):
|
||||
"""Get the history of a conversation"""
|
||||
if session_id not in conversations:
|
||||
raise HTTPException(status_code=404, detail="Conversation not found")
|
||||
return {"session_id": session_id, "history": conversations[session_id]}
|
||||
|
||||
@app.delete("/conversation/{session_id}")
|
||||
async def clear_conversation(session_id: str):
|
||||
"""Clear a conversation's history"""
|
||||
if session_id not in conversations:
|
||||
raise HTTPException(status_code=404, detail="Conversation not found")
|
||||
conversations[session_id] = []
|
||||
logger.info(f"Cleared conversation: {session_id}")
|
||||
return {"message": "Conversation cleared"}
|
||||
|
||||
# --- NEW: The Streaming Endpoint ---
|
||||
@app.post("/ask-stream")
|
||||
async def ask_question_stream(request: AskRequest):
|
||||
print(f"🔍 Streaming request for: {request.question}")
|
||||
# Basic input validation
|
||||
if not request.question.strip():
|
||||
logger.warning("Empty question received")
|
||||
raise HTTPException(status_code=400, detail="Question cannot be empty")
|
||||
|
||||
if len(request.question) > 1000:
|
||||
logger.warning(f"Question too long: {len(request.question)} characters")
|
||||
raise HTTPException(status_code=400, detail="Question too long (max 1000 chars)")
|
||||
|
||||
logger.info(f"🔍 Streaming request for: {request.question[:50]}{'...' if len(request.question) > 50 else ''}")
|
||||
|
||||
# 1. Retrieve context (this part is still blocking)
|
||||
retrieved_docs = retriever.invoke(request.question)
|
||||
context = "\n\n---\n\n".join([doc.page_content for doc in retrieved_docs])
|
||||
prompt = PROMPT_TEMPLATE.format(context=context, question=request.question)
|
||||
try:
|
||||
retrieved_docs = retriever.invoke(request.question)
|
||||
context = "\n\n---\n\n".join([doc.page_content for doc in retrieved_docs])
|
||||
prompt = PROMPT_TEMPLATE.format(context=context, question=request.question)
|
||||
logger.info(f"Retrieved {len(retrieved_docs)} documents for context")
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to retrieve context: {e}")
|
||||
raise HTTPException(status_code=500, detail="Failed to retrieve context from knowledge base")
|
||||
|
||||
# 2. Define the generator for the streaming response
|
||||
async def stream_generator():
|
||||
@@ -58,21 +133,169 @@ async def ask_question_stream(request: AskRequest):
|
||||
"prompt": prompt,
|
||||
"stream": True # <-- The key change to enable streaming from Ollama
|
||||
}
|
||||
logger.info(f"Sending request to Ollama with model: {OLLAMA_MODEL}")
|
||||
|
||||
# Use stream=True to get a streaming response from requests
|
||||
with requests.post(OLLAMA_API_URL, json=ollama_payload, stream=True) as response:
|
||||
with requests.post(OLLAMA_API_URL, json=ollama_payload, stream=True, timeout=30) as response:
|
||||
response.raise_for_status()
|
||||
# Ollama streams JSON objects separated by newlines
|
||||
for line in response.iter_lines():
|
||||
if line:
|
||||
chunk = json.loads(line)
|
||||
# Yield the actual text part of the token
|
||||
yield chunk.get("response", "")
|
||||
try:
|
||||
chunk = json.loads(line)
|
||||
# Yield the actual text part of the token
|
||||
llm_response = chunk.get("response", "")
|
||||
if llm_response: # Only log non-empty responses
|
||||
logger.debug(f"LLM response chunk: {llm_response[:20]}...")
|
||||
yield llm_response
|
||||
except json.JSONDecodeError:
|
||||
logger.warning(f"Failed to parse JSON chunk: {line}")
|
||||
continue
|
||||
|
||||
except requests.exceptions.Timeout:
|
||||
error_msg = "Request to language model timed out"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
except requests.exceptions.ConnectionError:
|
||||
error_msg = "Could not connect to the language model. Is Ollama running?"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
except requests.RequestException as e:
|
||||
print(f"❌ Error communicating with Ollama: {e}")
|
||||
yield "Error: Could not connect to the language model."
|
||||
error_msg = f"Error communicating with Ollama: {e}"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
except Exception as e:
|
||||
print(f"❌ An unexpected error occurred: {e}")
|
||||
yield "Error: An unexpected error occurred while generating the answer."
|
||||
error_msg = f"An unexpected error occurred: {e}"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
|
||||
# 3. Return the generator wrapped in a StreamingResponse
|
||||
return StreamingResponse(stream_generator(), media_type="text/plain")
|
||||
return StreamingResponse(stream_generator(), media_type="text/plain")
|
||||
|
||||
# --- Conversation-enabled streaming endpoint ---
|
||||
@app.post("/ask-conversation")
|
||||
async def ask_question_with_conversation(request: ConversationRequest):
|
||||
# Basic input validation
|
||||
if not request.question.strip():
|
||||
logger.warning("Empty question received")
|
||||
raise HTTPException(status_code=400, detail="Question cannot be empty")
|
||||
|
||||
if len(request.question) > 1000:
|
||||
logger.warning(f"Question too long: {len(request.question)} characters")
|
||||
raise HTTPException(status_code=400, detail="Question too long (max 1000 chars)")
|
||||
|
||||
# Handle session
|
||||
session_id = request.session_id
|
||||
if session_id and session_id not in conversations:
|
||||
logger.warning(f"Unknown session ID: {session_id}")
|
||||
raise HTTPException(status_code=404, detail="Conversation session not found")
|
||||
elif not session_id:
|
||||
# Create new session if none provided
|
||||
session_id = str(uuid.uuid4())
|
||||
conversations[session_id] = []
|
||||
logger.info(f"Created new conversation session: {session_id}")
|
||||
|
||||
logger.info(f"🔍 Conversation request [{session_id[:8]}...]: {request.question[:50]}{'...' if len(request.question) > 50 else ''}")
|
||||
|
||||
# 1. Retrieve context from vector store
|
||||
try:
|
||||
retrieved_docs = retriever.invoke(request.question)
|
||||
context = "\n\n---\n\n".join([doc.page_content for doc in retrieved_docs])
|
||||
logger.info(f"Retrieved {len(retrieved_docs)} documents for context")
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to retrieve context: {e}")
|
||||
raise HTTPException(status_code=500, detail="Failed to retrieve context from knowledge base")
|
||||
|
||||
# 2. Build conversation context from history
|
||||
conversation_history = conversations[session_id]
|
||||
conversation_context = ""
|
||||
if conversation_history:
|
||||
conversation_context = "\n\nPREVIOUS CONVERSATION:\n"
|
||||
# Include last 3 exchanges to keep context manageable
|
||||
for exchange in conversation_history[-3:]:
|
||||
conversation_context += f"Human: {exchange['question']}\nAssistant: {exchange['answer'][:200]}{'...' if len(exchange['answer']) > 200 else ''}\n\n"
|
||||
conversation_context += "CURRENT QUESTION:\n"
|
||||
|
||||
# 3. Create enhanced prompt with conversation context
|
||||
enhanced_prompt = f"""
|
||||
You are an expert lore master for the Dune universe.
|
||||
Your task is to answer the user's question with as much detail and context as possible, based *only* on the provided text excerpts.
|
||||
If you don't know the answer from the context provided, just say that you don't know, don't try to make up an answer.
|
||||
|
||||
Pay attention to the conversation history if provided - the user might be asking follow-up questions or referring to previous topics.
|
||||
|
||||
Combine all the relevant information from the context below into a single, cohesive, and comprehensive answer.
|
||||
Do not break the answer into sections based on the source texts. Synthesize them.
|
||||
Do not start with "based on the context provided".
|
||||
The answer should be thorough and well-explained.
|
||||
|
||||
CONTEXT FROM DUNE BOOKS:
|
||||
{context}
|
||||
{conversation_context}
|
||||
QUESTION:
|
||||
{request.question}
|
||||
|
||||
ANSWER:
|
||||
"""
|
||||
|
||||
# 4. Collect the full response for conversation storage
|
||||
full_response = ""
|
||||
|
||||
# 5. Define the generator for the streaming response
|
||||
async def stream_generator():
|
||||
nonlocal full_response
|
||||
try:
|
||||
ollama_payload = {
|
||||
"model": OLLAMA_MODEL,
|
||||
"prompt": enhanced_prompt,
|
||||
"stream": True
|
||||
}
|
||||
logger.info(f"Sending request to Ollama with model: {OLLAMA_MODEL}")
|
||||
|
||||
with requests.post(OLLAMA_API_URL, json=ollama_payload, stream=True, timeout=30) as response:
|
||||
response.raise_for_status()
|
||||
|
||||
for line in response.iter_lines():
|
||||
if line:
|
||||
try:
|
||||
chunk = json.loads(line)
|
||||
llm_response = chunk.get("response", "")
|
||||
if llm_response:
|
||||
full_response += llm_response
|
||||
yield llm_response
|
||||
except json.JSONDecodeError:
|
||||
logger.warning(f"Failed to parse JSON chunk: {line}")
|
||||
continue
|
||||
|
||||
# Store the complete exchange in conversation history
|
||||
conversations[session_id].append({
|
||||
"question": request.question,
|
||||
"answer": full_response
|
||||
})
|
||||
logger.info(f"Stored exchange in conversation {session_id[:8]}... (total: {len(conversations[session_id])} exchanges)")
|
||||
|
||||
# Keep conversation history manageable (max 10 exchanges)
|
||||
if len(conversations[session_id]) > 10:
|
||||
conversations[session_id] = conversations[session_id][-10:]
|
||||
|
||||
except requests.exceptions.Timeout:
|
||||
error_msg = "Request to language model timed out"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
except requests.exceptions.ConnectionError:
|
||||
error_msg = "Could not connect to the language model. Is Ollama running?"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
except requests.RequestException as e:
|
||||
error_msg = f"Error communicating with Ollama: {e}"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
except Exception as e:
|
||||
error_msg = f"An unexpected error occurred: {e}"
|
||||
logger.error(error_msg)
|
||||
yield f"Error: {error_msg}"
|
||||
|
||||
# 6. Return the response with session info in headers
|
||||
response = StreamingResponse(stream_generator(), media_type="text/plain")
|
||||
response.headers["X-Session-ID"] = session_id
|
||||
return response
|
||||
Reference in New Issue
Block a user