56 Commits

Author SHA1 Message Date
b5a8eec445 Added reranker exploration setup 2026-03-08 10:49:27 +01:00
LD50
6f6ded1d90 Merge pull request #130 from LD-Reborn/129-post-entity-only-does-upserting
129 post entity only does upserting
2026-02-22 20:00:08 +01:00
cda028f213 Fixed naming convention issues 2026-02-22 19:59:49 +01:00
0582ff9a6c Fixed Putting entities only upserts entities instead of also deleting non-existant ones 2026-02-22 19:48:26 +01:00
LD50
51d34cb06c Merge pull request #128 from LD-Reborn/104-embedding-cache-store-exception-on-shutdown
104 embedding cache store exception on shutdown
2026-02-21 22:23:31 +01:00
dbc5e9e6e8 Fixed UNIQUE constraint failed exception 2026-02-21 22:23:11 +01:00
820ecbc83b Fixed embeddings generation errors not propagating to response model in a user-friendly way, Fixed non-awaited SQL actions, Fixed connection pool filling up, fixed newly created searchdomain not found 2026-02-19 03:00:46 +01:00
LD50
cda8c61429 Merge pull request #127 from LD-Reborn/124-cannot-delete-large-searchdomains
Fixed entityCache not multithreading safe, Reduced expensive table jo…
2026-02-18 13:42:23 +01:00
f537912e4e Fixed entityCache not multithreading safe, Reduced expensive table joins for embedding, Fixed timeouts on large deletes, fixed possible unclosed readers, Improved EntityFromJSON speed, Added connection pool control for fault tolerance, Fixed modelsInUse multithreading safety 2026-02-18 13:41:55 +01:00
LD50
7a0363a470 Merge pull request #125 from LD-Reborn/118-searchdomainhelper-fix-non-bulk-queries
118 searchdomainhelper fix non bulk queries
2026-02-14 17:45:03 +01:00
4aabc3bae0 Fixed DatabaseInsertEmbeddingBulk, Added attributes bulk edit and delete, Fixed entityCache not multithreading safe, fixed EntityFromJSON missing bulk inserts, Added retry logic for BulkExecuteNonQuery, added MaxRequestBodySize configuration 2026-02-12 20:57:01 +01:00
41fd8a067e Added configurable request body size limit 2026-02-12 18:32:17 +01:00
LD50
047526dc3c Merge pull request #120 from LD-Reborn/117-add-bulk-datapoint-insert
Added datapoint bulk insert
2026-01-28 22:22:13 +01:00
329af1c103 Added datapoint bulk insert 2026-01-28 22:21:51 +01:00
LD50
5869eeabd6 Merge pull request #119 from LD-Reborn/116-add-bulk-attributes-insert
116 add bulk attributes insert
2026-01-25 16:35:26 +01:00
7fffd74f26 Changed list conversion for entityCache 2026-01-25 16:35:02 +01:00
a9dada01c0 Added missing BulkExecuteNonQuery 2026-01-25 16:34:18 +01:00
01b0934d6e Removed unused using statements, added early return for GetEmbeddings 2026-01-25 16:33:49 +01:00
c0189016e8 Improved logging in EntityController 2026-01-25 16:32:54 +01:00
7d16f90c71 Added bulk attributes insert 2026-01-25 16:32:37 +01:00
LD50
d7c248945d Merge pull request #115 from LD-Reborn/52-fix-documentation-to-show-that-we-have-a-front-end
52 fix documentation to show that we have a front end
2026-01-24 19:32:18 +01:00
LD50
059bf147dc Updated README logo layout 2026-01-24 19:31:59 +01:00
ffe15e211b Improved README introduction layout 2026-01-24 18:23:47 +01:00
255395b582 Moved logo to heading in README.md 2026-01-24 18:11:40 +01:00
6390dbc9ab Moved logo to docs, fixed logo not visible in light mode 2026-01-24 18:10:18 +01:00
7f2a14609f Updated documentation to reflect current status, fixed broken Dockerfile and Docker configuration, updated to python3.13 2026-01-24 17:48:06 +01:00
LD50
6d39540e8d Merge pull request #107 from LD-Reborn/86-add-embeddingsearch-logo-and-improve-navbar
Added logo to navbar, reworked navbar layout
2026-01-22 19:43:49 +01:00
328615be97 Added logo to navbar, reworked navbar layout 2026-01-22 19:43:28 +01:00
LD50
20cbbfd06c Merge pull request #106 from LD-Reborn/18-update-to-dotnet-10
18 update to dotnet 10
2026-01-22 16:48:22 +01:00
cfeefa385a Removed magic number from SearchdomainHelper float-bytes converter methods 2026-01-22 16:47:48 +01:00
49ecb06fb0 Updated packages 2026-01-22 16:47:11 +01:00
LD50
a15548ea77 Update issue templates 2026-01-22 14:35:52 +01:00
e2cfe56b49 Updated projects to dotnet 10 2026-01-22 00:46:56 +01:00
LD50
9c306a0917 Merge pull request #102 from LD-Reborn/91-add-persistent-embedding-cache
Added persistent embedding cache
2026-01-21 23:58:29 +01:00
5f05aac909 Added persistent embedding cache 2026-01-21 23:54:08 +01:00
LD50
76c9913485 Merge pull request #101 from LD-Reborn/78-query-results-edit-modal-missing-options-to-rename-and-add
Added renaming and adding query results , fixed missing localization
2026-01-19 13:15:36 +01:00
4f257a745b Added renaming and adding query results , fixed missing localization 2026-01-19 13:14:04 +01:00
LD50
59945cb523 Merge pull request #100 from LD-Reborn/87-migrations-currently-only-fire-once-searchdomainmanager-gets-injected-by-an-endpoint
Fixed migrations not running on startup
2026-01-19 03:52:17 +01:00
c13214c4e9 Fixed migrations not running on startup 2026-01-19 03:52:00 +01:00
LD50
6e9e795a16 Merge pull request #99 from LD-Reborn/85-add-database-size-to-stats
Added database size to stats, added total ram size to stats
2026-01-19 03:40:25 +01:00
337782661e Added database size to stats, added total ram size to stats 2026-01-19 03:40:03 +01:00
LD50
b6692770c1 Merge pull request #98 from LD-Reborn/95-add-parallel-embeddings-pre-fetching-setting
Added entity index embeddings prefetching, fixed zero-searchdomain fr…
2026-01-19 02:18:48 +01:00
141a567927 Added entity index embeddings prefetching, fixed zero-searchdomain front-end bug 2026-01-19 02:18:00 +01:00
LD50
ba41c1cd82 Merge pull request #97 from LD-Reborn/90-fix-migration-does-not-support-database-initial-creation
Fixed database initial creation missing
2026-01-16 14:02:28 +01:00
b6b812f458 Fixed database initial creation missing 2026-01-16 14:01:59 +01:00
LD50
9d5f53c5f4 Merge pull request #96 from LD-Reborn/94-implement-datapoint-embeddings-generation-reordering
Added embeddings prefetching for entities ingest
2026-01-16 12:52:37 +01:00
a9a5ee4cb6 Added embeddings prefetching for entities ingest 2026-01-16 12:52:15 +01:00
LD50
17cc8f41d5 Merge pull request #93 from LD-Reborn/92-datapointgenerateembeddings-does-not-feed-embedding-cache
Moved embeddingCache to EnumerableLruCache, fixed GenerateEmbeddings …
2026-01-16 10:36:10 +01:00
a01985d1b8 Moved embeddingCache to EnumerableLruCache, fixed GenerateEmbeddings not feeding embeddingCache 2026-01-16 10:35:46 +01:00
LD50
4c1f0305fc Merge pull request #89 from LD-Reborn/65-add-number-of-cached-queries-to-front-end
65 add number of cached queries to front end
2026-01-07 01:52:38 +01:00
e49a7c83ba Improved sql connection pool resiliency 2026-01-07 01:52:12 +01:00
e83ce61877 Added query cache entry count and capacity to front-end, Fixed ServerGetStatsResult field naming 2026-01-07 01:15:55 +01:00
LD50
c09514c657 Merge pull request #88 from LD-Reborn/66-add-query-cache-size-limit
66 add query cache size limit
2026-01-05 01:04:57 +01:00
3dfcaa19e6 Implemented query cache size limit in front-end and in logic, Reworked LRUCache for performance, Fixed updating entities from front-end not working 2026-01-05 01:04:26 +01:00
88d1b27394 Fixed LRUCache TryGetValue not updating the list 2026-01-03 18:22:30 +01:00
027a9244ad Added query cache size limiting, added custom enumerable LRUCache, renamed search to query in various places, fixed client GetEmbeddingsCacheSize endpoint 2026-01-03 17:57:18 +01:00
65 changed files with 3404 additions and 953 deletions

38
.github/ISSUE_TEMPLATE/bug_report.md vendored Normal file
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---
name: Bug report
about: Create a report to help us improve
title: ''
labels: bug
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
**Expected behavior**
A clear and concise description of what you expected to happen.
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Desktop (please complete the following information):**
- OS: [e.g. iOS]
- Browser [e.g. chrome, safari]
- Version / Commit ID [e.g. 22]
**Smartphone (please complete the following information):**
- Device: [e.g. iPhone6]
- OS: [e.g. iOS8.1]
- Browser [e.g. stock browser, safari]
- Version [e.g. 22]
**Additional context**
Add any other context about the problem here.

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---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: enhancement
assignees: ''
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.
**Additional context**
Add any other context or screenshots about the feature request here.

1
.gitignore vendored
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@@ -20,3 +20,4 @@ src/Shared/obj
src/Server/wwwroot/logs/*
src/Server/Tools/CriticalCSS/node_modules
src/Server/Tools/CriticalCSS/package*.json
*.db*

117
README.md
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@@ -1,92 +1,59 @@
# embeddingsearch
<img src="https://github.com/LD-Reborn/embeddingsearch/blob/main/logo.png" alt="Logo" width="100">
# embeddingsearch<img src="docs/logo.png" alt="Logo" width="50" align="left">
embeddingsearch is a self-hosted semantic search server built on vector embeddings.<br/>It lets you index and semantically search text using modern embedding models.
<br/><br/>
It's designed to be flexible, extensible, and easy to use.
embeddingsearch is a search server that uses Embedding Similarity Search (similiarly to [Magna](https://github.com/yousef-rafat/Magna/tree/main)) to semantically compare a given input to a database of indexed entries.
# Project outline
<img src="docs/ProjectOutline/ProjectOutlineDiagram.excalidraw.svg" alt="Logo">
embeddingsearch offers:
- Privacy and flexibility through self-hosted solutions like:
- ollama
## What embeddingsearch offers:
- Privacy and flexibility by allowing one to self-host everything, including:
- Ollama
- OpenAI-compatible APIs (like LocalAI)
- Great flexibility through deep control over
- the amount of datapoints per entity (i.e. the thing you're trying to find)
- which models are used (multiple per datapoint possible to improve accuracy)
- which models are sourced from where (multiple Ollama/OpenAI-compatible sources possible)
- similarity calculation methods
- aggregation of results (when multiple models are used per datapoint)
- Astonishing accuracy when using multiple models for single indices
- Ease-of-use and ease-of-implementation
- The server offers a front-end for management and status information, as well as a decorated swagger back-end
- The indexer can also be self-hosted and serves as a host for executing indexing scripts
- The client library can be used to develop your own client software that posts queries or creates indices
- Caching & persistency
- Generating embeddings is expensive. So why not cache AND store them?
- Query results can also be cached.
- "Doesn't that eat a lot of precious RAM?" - My own testing showed: embeddings take up around 4200-5200 bytes each depending on the request string size. So around 4-5 GB per million cached embeddings.
This repository comes with a
- server (accessible via API calls & swagger)
- clientside library (C#)
- scripting based indexer service that supports the use of
This repository comes with a:
- Server
- Client library (C#)
- Scripting based indexer service that supports the use of
- Python
- CSharp (Roslyn)
- Golang (Planned)
- CSharp (Roslyn - at-runtime evaluation)
- CSharp (Reflection - compiled)
- Lua (Planned)
- Javascript (Planned)
# How to set up / use
# How to set up
## Server
(Docker now available! See [Docker installation](docs/Server.md#docker-installation))
1. Install [ollama](https://ollama.com/download)
2. Pull a few models using ollama (e.g. `paraphrase-multilingual`, `bge-m3`, `mxbai-embed-large`, `nomic-embed-text`)
3. [Install the depencencies](docs/Server.md#installing-the-dependencies)
4. [Set up a local mysql database](docs/Server.md#mysql-database-setup)
5. [Set up the configuration](docs/Server.md#setup)
6. In `src/server` execute `dotnet build && dotnet run` to start the server
7. (optional) [Create a searchdomain using the web interface](docs/Server.md#accessing-the-api)
## Client
1. Download the package and add it to your project (TODO: NuGet)
2. Create a new client by either:
1. By injecting IConfiguration (e.g. `services.AddSingleton<Client>();`)
2. By specifying the baseUri, apiKey, and searchdomain (e.g. `new Client.Client(baseUri, apiKey, searchdomain)`)
(Docker also available! See [Docker installation](docs/Server.md#docker-installation))
1. Install the inferencing tool of your choice, (e.g. [ollama](https://ollama.com/download)) and pull a few models that support generating embeddings.
2. [Install the depencencies](docs/Server.md#installing-the-dependencies)
3. [Set up a mysql database](docs/Server.md#mysql-database-setup)
4. [Set up the configuration](docs/Server.md#configuration)
5. In `src/Server` execute `dotnet build && dotnet run` to start the server
6. (optional) Create a searchdomain using the web interface
## Indexer
(Docker now available! See [Docker installation](docs/Indexer.md#docker-installation))
1. [Install the dependencies](docs/Indexer.md#installing-the-dependencies)
2. [Set up the server](#server)
3. [Configure the indexer](docs/Indexer.md#configuration)
4. [Set up your indexing script(s)](docs/Indexer.md#scripting)
5. Run with `dotnet build && dotnet run` (Or `/usr/bin/dotnet build && /usr/bin/dotnet run`)
2. [Configure the indexer](docs/Indexer.md#configuration)
3. [Set up your indexing script(s)](docs/Indexer.md#scripting)
4. In `src/Indexer` execute `dotnet build && dotnet run` to start the indexer
# Known issues
| Issue | Solution |
| --- | --- |
| Unhandled exception. MySql.Data.MySqlClient.MySqlException (0x80004005): Invalid attempt to access a field before calling Read() | The searchdomain you entered does not exist |
| Unhandled exception. MySql.Data.MySqlClient.MySqlException (0x80004005): Authentication to host 'localhost' for user 'embeddingsearch' using method 'caching_sha2_password' failed with message: Access denied for user 'embeddingsearch'@'localhost' (using password: YES) | TBD |
| System.DllNotFoundException: Could not load libpython3.12.so with flags RTLD_NOW \| RTLD_GLOBAL: libpython3.12.so: cannot open shared object file: No such file or directory | Install python3.12-dev via apt. Also: try running the indexer using `/usr/bin/dotnet` instead of `dotnet` (make sure dotnet is installed via apt) |
# To-do
- (High priority) Add default indexer
- Library
- Processing:
- Text / Markdown documents: file name, full text, paragraphs
- Documents
- PDF: file name, full text, headline?, paragraphs, images?
- odt/docx: file name, full text, headline?, images?
- msg/eml: file name, title, recipients, cc, text
- Images: file name, OCR, image description?
- Videos?
- Presentations (Impress/Powerpoint): file name, full text, first slide title, titles, slide texts
- Tables (Calc / Excel): file name, tab/page names?, full text (per tab/page)
- Other? (TBD)
- Server
- ~~Scripting capability (Python; perhaps also lua)~~ (Done with the latest commits)
- ~~Intended sourcing possibilities:~~
- ~~Local/Remote files (CIFS, SMB, FTP)~~
- ~~Database contents (MySQL, MSSQL)~~
- ~~Web requests (E.g. manual crawling)~~
- ~~Script call management (interval based & event based)~~
- Implement [ReaderWriterLock](https://learn.microsoft.com/en-us/dotnet/api/system.threading.readerwriterlockslim?view=net-9.0&redirectedfrom=MSDN) for entityCache to allow for multithreaded read access while retaining single-threaded write access.
- NuGet packaging and corresponding README documentation
- Add option for query result detail levels. e.g.:
- Level 0: `{"Name": "...", "Value": 0.53}`
- Level 1: `{"Name": "...", "Value": 0.53, "Datapoints": [{"Name": "title", "Value": 0.65}, {...}]}`
- Level 2: `{"Name": "...", "Value": 0.53, "Datapoints": [{"Name": "title", "Value": 0.65, "Embeddings": [{"Model": "bge-m3", "Value": 0.87}, {...}]}, {...}]}`
- Add "Click-Through" result evaluation (For each entity: store a list of queries that led to the entity being chosen by the user. Then at query-time choose the best-fitting entry and maybe use it as another datapoint? Or use a separate weight function?)
- Reranker/Crossencoder/RAG (or anything else beyond initial retrieval) support
- Remove the `id` collumns from the database tables where the table is actually identified (and should be unique by) the name, which should become the new primary key.
- Improve performance & latency (Create ready-to-go processes where each contain an n'th share of the entity cache, ready to perform a query. Prepare it after creating the entity cache.)
- Implement dynamic invocation based database migrations
# Future features
- Support for other database types (MSSQL, SQLite)
| System.DllNotFoundException: Could not load libpython3.13.so with flags RTLD_NOW \| RTLD_GLOBAL: libpython3.12.so: cannot open shared object file: No such file or directory | Install python3.13-dev via apt. Also: try running the indexer using `/usr/bin/dotnet` instead of `dotnet` (to make sure dotnet is not running as a snap) |
# Planned features and support
- Document processor with automatic chunking (e.g.: .md, .pdf, .docx, .xlsx, .png, .mp4)
- Indexer front-end
- Support for other database types (MSSQL, SQLite, PostgreSQL, MongoDB, Redis)
# Community
<a href="https://discord.gg/MUKeZM3k"><img src="https://img.shields.io/badge/Join%20Discord-7289DA?style=flat&logo=discord&logoColor=whiteServer" alt="Discord"></img></a>
<a href="https://discord.gg/MUKeZM3k"><img src="https://img.shields.io/badge/Join%20Discord-7289DA?style=flat&logo=discord&logoColor=whiteServer" alt="Discord"></img></a>

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@@ -8,15 +8,18 @@ The indexer by default
- Uses HealthChecks (endpoint: `/healthz`)
## Docker installation
(On Linux you might need root privileges, thus use `sudo` where necessary)
1. Navigate to the `src` directory
2. Build the docker container: `docker build -t embeddingsearch-indexer -f Indexer/Dockerfile .`
3. Run the docker container: `docker run --net=host -t embeddingsearch-indexer` (the `-t` is optional, but you get more meaningful output. Or use `-d` to run it in the background)
1. [Configure the indexer](docs/Indexer.md#configuration)
2. [Set up your indexing script(s)](docs/Indexer.md#scripting)
3. Navigate to the `src` directory
4. Build the docker container: `docker build -t embeddingsearch-indexer -f Indexer/Dockerfile .`
5. Run the docker container: `docker run --net=host -t embeddingsearch-indexer` (the `-t` is optional, but you get more meaningful output. Or use `-d` to run it in the background)
## Installing the dependencies
## Ubuntu 24.04
1. Install the .NET SDK: `sudo apt update && sudo apt install dotnet-sdk-8.0 -y`
2. Install the python SDK: `sudo apt install python3 python3.12 python3.12-dev`
1. Install the .NET SDK: `sudo apt update && sudo apt install dotnet-sdk-10.0 -y`
2. Install the python SDK: `sudo apt install python3 python3.13 python3.13-dev`
- Note: Python 3.14 is not supported yet
## Windows
Download the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow these steps to use WSL:
Download and install the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow these steps to use WSL:
1. Install Ubuntu in WSL (`wsl --install` and `wsl --install -d Ubuntu`)
2. Enter your WSL environment `wsl.exe` and configure it
3. Update via `sudo apt update && sudo apt upgrade -y && sudo snap refresh`
@@ -26,15 +29,15 @@ The configuration is located in `src/Indexer` and conforms to the [ASP.NET confi
If you plan to use multiple environments, create any `appsettings.{YourEnvironment}.json` (e.g. `Development`, `Staging`, `Prod`) and set the environment variable `DOTNET_ENVIRONMENT` accordingly on the target machine.
## Setup
If you just installed the server and want to configure it:
1. Open `src/Server/appsettings.Development.json`
If you just installed the indexer and want to configure it:
1. Open `src/Indexer/appsettings.Development.json`
2. If your search server is not on the same machine as the indexer, update "BaseUri" to reflect the URL to the server.
3. If your search server requires API keys, (i.e. it's operating outside of the "Development" environment) set `"ApiKey": "<your key here>"` beneath `"BaseUri"` in the `"Embeddingsearch"` section.
4. Create your own indexing script(s) in `src/Indexer/Scripts/` and configure their use as
3. If you configured API keys for the search server, set `"ApiKey": "<your key here>"` beneath `"BaseUri"` in the `"Server"` section.
4. Create your own indexing script(s) in `src/Indexer/Scripts/` and configure them as shown below
## Structure
```json
"EmbeddingsearchIndexer": {
"Worker":
"Indexer": {
"Workers":
[ // This is a list; you can have as many "workers" as you want
{
"Name": "example",
@@ -50,7 +53,12 @@ If you just installed the server and want to configure it:
"Name": "secondWorker",
/* ... */
}
]
],
"ApiKeys": ["YourApiKeysHereForTheIndexer"], // API Keys for if you want to protect the indexer's API
"Server": {
"BaseUri": "http://localhost:5000", // URL to the embeddingsearch server
"ApiKey": "ServerApiKeyHere" // API Key set in the server
}
}
```
## Call types
@@ -71,6 +79,13 @@ If you just installed the server and want to configure it:
- Parameters:
- Path (e.g. "Scripts/example_content")
# Scripting
Scripts should be put in `src/Indexer/Scripts/`. If you look there, by default you will find some example scripts that can be taken as reference when building your own.
For configuration of the scripts see: [Structure](#structure)
The next few sections explain some core concepts/patterns. If you want to skip to explicit code examples, look here:
- [Python](#python)
- [Roslyn](#c-roslyn)
## General
Scripts need to define the following functions:
- `init()`
@@ -186,7 +201,7 @@ from tools import * # Import all tools that are provided for ease of scripting
def init(toolset: Toolset): # defining an init() function with 1 parameter is required.
pass # Your code would go here.
# DO NOT put a main loop here! Why?
# Don't put a main loop here! Why?
# This function prevents the application from initializing and maintains exclusive control over the GIL
def update(toolset: Toolset): # defining an update() function with 1 parameter is required.
@@ -261,7 +276,7 @@ public class ExampleScript : Indexer.Models.IScript
// Required: return an instance of your IScript-extending class
return new ExampleScript();
```
## Golang
## Lua
TODO
## Javascript
TODO

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---
excalidraw-plugin: parsed
tags: [excalidraw]
---
==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving'
# Excalidraw Data
## Text Elements
Server ^TJzgO4nS
Indexer ^rgrd8gyy
embeddingsearch ^jB1B7xr7
Client ^ZttcBOXC
embeddings
provider ^mEIPhpn1
✔️ Ollama
✔️ OpenAI-compatible
(e.g. LocalAI) ^o6rED2fi
uses ^QkKnkGvS
Database ^yaSaChsK
✔️ MySQL
⚒️ SQLite
⚒️ MSSQL
⚒️ PostgreSQL
⚒️ MongoDB
⚒️ Redis ^LHP4PU6V
Stores
data in ^FP2xPhxz
Listens on port 5146
^CJG2peC6
Listens on port 5210 ^iLZT5hca
Workers ^33rXJfFb
- example.py
- example.csx
- ... ^e1BVqXa2
✔️ Front-end
✔️ Swagger
✔️ Elmah ^6UTNDntp
⚒️ Front-end
✔️ Swagger
✔️ Elmah ^tlLF3R27
✔️ Caches embeddings
✔️ Caches queries ^I2lN1U82
✔️ C# library
⚒️ NuGet
✔️ Searchdomain CRUD
✔️ Entity CRUD
✔️ Management operations ^4Ab3XHhK
Uses ^KvuBRV2K
Accesses ^ikhSH5rs
✔️ Multiple provider
configuration ^ipkoadg8
%%
## Drawing
```compressed-json
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```
%%

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@@ -1,21 +1,21 @@
# Overview
The server by default
- runs on port 5146
- Uses Swagger UI in development mode (`/swagger/index.html`)
- Ignores API keys when in development mode
- Uses Swagger UI (`/swagger/index.html`)
- Uses Elmah error logging (endpoint: `/elmah`, local files: `~/logs`)
- Uses serilog logging (local files: `~/logs`)
- Uses HealthChecks (endpoint: `/healthz`)
## Docker installation
(On Linux you might need root privileges, thus use `sudo` where necessary)
1. Navigate to the `src/server` directory
2. Build the docker container: `docker build -t embeddingsearch-server -f /Dockerfile .`
3. Run the docker container: `docker run --net=host -t embeddingsearch-server` (the `-t` is optional, but you get more meaningful output. Or use `-d` to run it in the background)
(On Linux you might need root privileges. Use `sudo` where necessary)
1. [Set up the configuration](docs/Server.md#setup)
2. Navigate to the `src` directory
3. Build the docker container: `docker build -t embeddingsearch-server -f Server/Dockerfile .`
4. Run the docker container: `docker run --net=host -t embeddingsearch-server` (the `-t` is optional, but you get more meaningful output. Or use `-d` to run it in the background)
# Installing the dependencies
## Ubuntu 24.04
1. Install the .NET SDK: `sudo apt update && sudo apt install dotnet-sdk-8.0 -y`
1. Install the .NET SDK: `sudo apt update && sudo apt install dotnet-sdk-10.0 -y`
## Windows
Download the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow these steps to use WSL:
Download and install the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow these steps to use WSL:
1. Install Ubuntu in WSL (`wsl --install` and `wsl --install -d Ubuntu`)
2. Enter your WSL environment `wsl.exe` and configure it
3. Update via `sudo apt update && sudo apt upgrade -y && sudo snap refresh`
@@ -30,6 +30,9 @@ Download the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow t
`CREATE DATABASE embeddingsearch; use embeddingsearch;`
4. Create the user (replace "somepassword! with a secure password):
`CREATE USER 'embeddingsearch'@'%' identified by "somepassword!"; GRANT ALL ON embeddingsearch.* TO embeddingsearch; FLUSH PRIVILEGES;`
- Caution: The symbol "%" in the command means that this user can be logged into from outside of the machine.
- Replace `'%'` with `'localhost'` or with the IP of your embeddingsearch server machine if that is a concern.
5. Exit mysql: `exit`
# Configuration
## Environments
@@ -43,34 +46,39 @@ If you just installed the server and want to configure it:
3. Check the "AiProviders" section. If your Ollama/LocalAI/etc. instance does not run locally, update the "baseURL" to point to the correct URL.
4. If you plan on using the server in production:
1. Set the environment variable `DOTNET_ENVIRONMENT` to something that is not "Development". (e.g. "Prod")
2. Rename the `appsettings.Development.json` - replace "Development" with whatever you chose. (e.g. "Prod")
2. Rename the `appsettings.Development.json` - replace "Development" with what you chose for `DOTNET_ENVIRONMENT`
3. Set API keys in the "ApiKeys" section (generate keys using the `uuid` command on Linux)
## Structure
```json
"Embeddingsearch": {
"ConnectionStrings": {
"SQL": "server=localhost;database=embeddingsearch;uid=embeddingsearch;pwd=somepassword!;"
"SQL": "server=localhost;database=embeddingsearch;uid=embeddingsearch;pwd=somepassword!;",
"Cache": "Data Source=embeddings.db;Mode=ReadWriteCreate;Cache=Shared" // Name of the sqlite cache file
},
"Elmah": {
"AllowedHosts": [ // Specify which IP addresses can access /elmah
"127.0.0.1",
"::1",
"172.17.0.1"
]
"LogPath": "~/logs" // Where the logs are stored
},
"AiProviders": {
"ollama": { // Name of the provider. Used when defining models for a datapoint, e.g. "ollama:mxbai-embed-large"
"ollama": { // Name for the provider. Used when defining models for a datapoint, e.g. "ollama:mxbai-embed-large"
"handler": "ollama", // The type of API located at baseURL
"baseURL": "http://localhost:11434" // Location of the API
"baseURL": "http://localhost:11434", // Location of the API
"Allowlist": [".*"], // Allow- and Denylist. Filter out non-embeddings models using regular expressions
"Denylist": ["qwen3-coder:latest", "qwen3:0.6b", "deepseek-v3.1:671b-cloud", "qwen3-vl", "deepseek-ocr"]
},
"localAI": {
"localAI": { // e.g. model name: "localAI:bert-embeddings"
"handler": "openai",
"baseURL": "http://localhost:8080",
"ApiKey": "Some API key here"
"ApiKey": "Some API key here",
"Allowlist": [".*"],
"Denylist": ["cross-encoder", "..."]
}
},
"ApiKeys": ["Some UUID here", "Another UUID here"], // Restrict access in non-development environments to the server's API using your own generated API keys
"UseHttpsRedirection": true // tbh I don't even know why this is still here. // TODO implement HttpsRedirection or remove this line
"ApiKeys": ["Some UUID here", "Another UUID here"], // (optional) Restrict access using API keys
"Cache": {
"CacheTopN": 10000, // Only cache this number of queries. (Eviction policy: LRU)
"StoreEmbeddingCache": true, // If set to true, the SQLite database will be used to store the embeddings
"StoreTopN": 10000 // Only write the top n number of queries to the SQLite database
}
}
```
## AiProviders
@@ -91,9 +99,9 @@ One can even specify multiple Ollama instances and name them however one pleases
```
### handler
Currently two handlers are implemented for embeddings generation:
- ollama
- `ollama`
- requests embeddings from `/api/embed`
- localai
- `openai`
- requests embeddings from `/v1/embeddings`
### baseURL
Specified by `scheme://host:port`. E.g.: `"baseUrl": "http://localhost:11434"`
@@ -105,7 +113,7 @@ Any specified absolute path will be disregarded. (e.g. "http://x.x.x.x/any/subro
# API
## Accessing the api
Once started, the server's API can be comfortably be viewed and manipulated via swagger.
Once started, the server's API can be viewed and manipulated via swagger.
By default it is accessible under: `http://localhost:5146/swagger/index.html`
@@ -114,7 +122,7 @@ To make an API request from within swagger:
2. Click the "Try it out" button. The input fields (if there are any for your action) should now be editable.
3. Fill in the necessary information
4. Click "Execute"
## Restricting access
API keys do **not** get checked in Development environment!
## Authorization
Being logged in has priority over API Key requirement (if api keys are set).
Set up a non-development environment as described in [Configuration>Setup](#setup) to enable API key authentication.
So being logged in automatically authorizes endpoint usage.

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@@ -47,15 +47,27 @@ public class Client
return await FetchUrlAndProcessJson<EntityListResults>(HttpMethod.Get, url);
}
public async Task<EntityIndexResult> EntityIndexAsync(List<JSONEntity> jsonEntity)
public async Task<EntityIndexResult> EntityIndexAsync(List<JSONEntity> jsonEntity, string? sessionId = null, bool? sessionComplete = null)
{
return await EntityIndexAsync(JsonSerializer.Serialize(jsonEntity));
return await EntityIndexAsync(JsonSerializer.Serialize(jsonEntity), sessionId, sessionComplete);
}
public async Task<EntityIndexResult> EntityIndexAsync(string jsonEntity)
public async Task<EntityIndexResult> EntityIndexAsync(string jsonEntity, string? sessionId = null, bool? sessionComplete = null)
{
var content = new StringContent(jsonEntity, Encoding.UTF8, "application/json");
return await FetchUrlAndProcessJson<EntityIndexResult>(HttpMethod.Put, GetUrl($"{baseUri}", "Entities", []), content);
Dictionary<string, string> parameters = [];
if (sessionId is not null) parameters.Add("sessionId", sessionId);
if (sessionComplete is not null) parameters.Add("sessionComplete", ((bool)sessionComplete).ToString());
return await FetchUrlAndProcessJson<EntityIndexResult>(
HttpMethod.Put,
GetUrl(
$"{baseUri}",
$"Entities",
parameters
),
content
);
}
public async Task<EntityDeleteResults> EntityDeleteAsync(string entityName)
@@ -121,13 +133,13 @@ public class Client
}), new StringContent(settings, Encoding.UTF8, "application/json"));
}
public async Task<SearchdomainSearchesResults> SearchdomainGetQueriesAsync(string searchdomain)
public async Task<SearchdomainQueriesResults> SearchdomainGetQueriesAsync(string searchdomain)
{
Dictionary<string, string> parameters = new()
{
{"searchdomain", searchdomain}
};
return await FetchUrlAndProcessJson<SearchdomainSearchesResults>(HttpMethod.Get, GetUrl($"{baseUri}/Searchdomain", "Queries", parameters));
return await FetchUrlAndProcessJson<SearchdomainQueriesResults>(HttpMethod.Get, GetUrl($"{baseUri}/Searchdomain", "Queries", parameters));
}
public async Task<EntityQueryResults> SearchdomainQueryAsync(string query)
@@ -148,6 +160,21 @@ public class Client
return await FetchUrlAndProcessJson<EntityQueryResults>(HttpMethod.Post, GetUrl($"{baseUri}/Searchdomain", "Query", parameters), null);
}
public async Task<EntityQueryResults> SearchdomainQueryRerankedAsync(string searchdomain, string query, string rerankerModel, int topN, int topNRetrieval, bool returnAttributes = false)
{
Dictionary<string, string> parameters = new()
{
{ "searchdomain", searchdomain },
{ "query", query },
{ "rerankerModel", (rerankerModel).ToString() },
{ "topN", (topN).ToString() },
{ "topNRetrieval", (topNRetrieval).ToString() }
};
if (returnAttributes) parameters.Add("returnAttributes", returnAttributes.ToString());
return await FetchUrlAndProcessJson<EntityQueryResults>(HttpMethod.Post, GetUrl($"{baseUri}/Searchdomain", "QueryReranked", parameters), null);
}
public async Task<SearchdomainDeleteSearchResult> SearchdomainDeleteQueryAsync(string searchdomain, string query)
{
Dictionary<string, string> parameters = new()
@@ -190,13 +217,13 @@ public class Client
return await FetchUrlAndProcessJson<SearchdomainUpdateResults>(HttpMethod.Put, GetUrl($"{baseUri}/Searchdomain", "Settings", parameters), content);
}
public async Task<SearchdomainSearchCacheSizeResults> SearchdomainGetQueryCacheSizeAsync(string searchdomain)
public async Task<SearchdomainQueryCacheSizeResults> SearchdomainGetQueryCacheSizeAsync(string searchdomain)
{
Dictionary<string, string> parameters = new()
{
{"searchdomain", searchdomain}
};
return await FetchUrlAndProcessJson<SearchdomainSearchCacheSizeResults>(HttpMethod.Get, GetUrl($"{baseUri}/Searchdomain/QueryCache", "Size", parameters));
return await FetchUrlAndProcessJson<SearchdomainQueryCacheSizeResults>(HttpMethod.Get, GetUrl($"{baseUri}/Searchdomain/QueryCache", "Size", parameters));
}
public async Task<SearchdomainInvalidateCacheResults> SearchdomainClearQueryCache(string searchdomain)
@@ -222,9 +249,9 @@ public class Client
return await FetchUrlAndProcessJson<ServerGetModelsResult>(HttpMethod.Get, GetUrl($"{baseUri}/Server", "Models", []));
}
public async Task<ServerGetEmbeddingCacheSizeResult> ServerGetEmbeddingCacheSizeAsync()
public async Task<ServerGetStatsResult> ServerGetStatsAsync()
{
return await FetchUrlAndProcessJson<ServerGetEmbeddingCacheSizeResult>(HttpMethod.Get, GetUrl($"{baseUri}/Server/EmbeddingCache", "Size", []));
return await FetchUrlAndProcessJson<ServerGetStatsResult>(HttpMethod.Get, GetUrl($"{baseUri}/Server/Stats", "Size", []));
}
private async Task<T> FetchUrlAndProcessJson<T>(HttpMethod httpMethod, string url, HttpContent? content = null)

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@@ -5,7 +5,7 @@
</ItemGroup>
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<TargetFramework>net10.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
</PropertyGroup>

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@@ -1,7 +1,7 @@
FROM ubuntu:24.04 AS ubuntu
FROM ubuntu:25.10 AS ubuntu
WORKDIR /app
RUN apt-get update
RUN apt-get install -y python3.12 python3.12-venv python3.12-dev dotnet-sdk-8.0
RUN apt-get install -y python3.13 python3.13-venv python3.13-dev dotnet-sdk-10.0
RUN apt-get clean
COPY . /src/
ENV ASPNETCORE_ENVIRONMENT Docker

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@@ -1,22 +1,22 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="ElmahCore" Version="2.1.2" />
<PackageReference Include="Microsoft.AspNetCore.OpenApi" Version="8.0.14" />
<PackageReference Include="Microsoft.CodeAnalysis.CSharp.Scripting" Version="4.14.0" />
<PackageReference Include="Microsoft.Extensions.Hosting" Version="9.0.8" />
<PackageReference Include="Quartz.Extensions.Hosting" Version="3.15.0" />
<PackageReference Include="Serilog.AspNetCore" Version="9.0.0" />
<PackageReference Include="Microsoft.AspNetCore.OpenApi" Version="10.0.2" />
<PackageReference Include="Microsoft.CodeAnalysis.CSharp.Scripting" Version="5.0.0" />
<PackageReference Include="Microsoft.Extensions.Hosting" Version="10.0.2" />
<PackageReference Include="Quartz.Extensions.Hosting" Version="3.15.1" />
<PackageReference Include="Serilog.AspNetCore" Version="10.0.0" />
<PackageReference Include="Serilog.Sinks.File" Version="7.0.0" />
<PackageReference Include="Swashbuckle.AspNetCore" Version="6.6.2" />
<PackageReference Include="System.Configuration.ConfigurationManager" Version="9.0.3" />
<PackageReference Include="Python" Version="3.13.3" />
<PackageReference Include="Swashbuckle.AspNetCore" Version="10.1.0" />
<PackageReference Include="System.Configuration.ConfigurationManager" Version="10.0.2" />
<PackageReference Include="Python" Version="3.14.2" />
<PackageReference Include="Pythonnet" Version="3.0.5" />
</ItemGroup>
<ItemGroup>

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@@ -80,8 +80,6 @@ else
app.UseMiddleware<Shared.ApiKeyMiddleware>();
}
// app.UseHttpsRedirection();
app.MapControllers();
app.Run();

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@@ -65,6 +65,7 @@ def index_files(toolset: Toolset):
jsonEntities.append(jsonEntity)
jsonstring = json.dumps(jsonEntities)
timer_start = time.time()
# Index all entities in one go. If you need to split it into chunks, use the session attributes! See example_chunked.py
result:EntityIndexResult = toolset.Client.EntityIndexAsync(jsonstring).Result
timer_end = time.time()
toolset.Logger.LogInformation(f"Update was successful: {result.Success} - and was done in {timer_end - timer_start} seconds.")

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@@ -0,0 +1,85 @@
import math
import os
from tools import *
import json
from dataclasses import asdict
import time
import uuid
example_content = "./Scripts/example_content"
probmethod = "HVEWAvg"
similarityMethod = "Cosine"
example_searchdomain = "example_" + probmethod
example_counter = 0
models = ["ollama:bge-m3", "ollama:mxbai-embed-large"]
probmethod_datapoint = probmethod
probmethod_entity = probmethod
# Example for a dictionary based weighted average:
# probmethod_datapoint = "DictionaryWeightedAverage:{\"ollama:bge-m3\": 4, \"ollama:mxbai-embed-large\": 1}"
# probmethod_entity = "DictionaryWeightedAverage:{\"title\": 2, \"filename\": 0.1, \"text\": 0.25}"
def init(toolset: Toolset):
global example_counter
toolset.Logger.LogInformation("{toolset.Name} - init", toolset.Name)
toolset.Logger.LogInformation("This is the init function from the python example script")
toolset.Logger.LogInformation(f"example_counter: {example_counter}")
searchdomainlist:SearchdomainListResults = toolset.Client.SearchdomainListAsync().Result
if example_searchdomain not in searchdomainlist.Searchdomains:
toolset.Client.SearchdomainCreateAsync(example_searchdomain).Result
searchdomainlist = toolset.Client.SearchdomainListAsync().Result
output = "Currently these searchdomains exist:\n"
for searchdomain in searchdomainlist.Searchdomains:
output += f" - {searchdomain}\n"
toolset.Logger.LogInformation(output)
def update(toolset: Toolset):
global example_counter
toolset.Logger.LogInformation("{toolset.Name} - update", toolset.Name)
toolset.Logger.LogInformation("This is the update function from the python example script")
callbackInfos:ICallbackInfos = toolset.CallbackInfos
if (str(callbackInfos) == "Indexer.Models.RunOnceCallbackInfos"):
toolset.Logger.LogInformation("It was triggered by a runonce call")
elif (str(callbackInfos) == "Indexer.Models.IntervalCallbackInfos"):
toolset.Logger.LogInformation("It was triggered by an interval call")
elif (str(callbackInfos) == "Indexer.Models.ScheduleCallbackInfos"):
toolset.Logger.LogInformation("It was triggered by a schedule call")
elif (str(callbackInfos) == "Indexer.Models.FileUpdateCallbackInfos"):
toolset.Logger.LogInformation("It was triggered by a fileupdate call")
else:
toolset.Logger.LogInformation("It was triggered, but the origin of the call could not be determined")
example_counter += 1
toolset.Logger.LogInformation(f"example_counter: {example_counter}")
index_files(toolset)
def index_files(toolset: Toolset):
jsonEntities:list = []
for filename in os.listdir(example_content):
qualified_filepath = example_content + "/" + filename
with open(qualified_filepath, "r", encoding='utf-8', errors="replace") as file:
title = file.readline()
text = file.read()
datapoints:list = [
JSONDatapoint("filename", qualified_filepath, probmethod_datapoint, similarityMethod, models),
JSONDatapoint("title", title, probmethod_datapoint, similarityMethod, models),
JSONDatapoint("text", text, probmethod_datapoint, similarityMethod, models)
]
jsonEntity:dict = asdict(JSONEntity(qualified_filepath, probmethod_entity, example_searchdomain, {}, datapoints))
jsonEntities.append(jsonEntity)
timer_start = time.time()
chunkSize = 5
chunkList = chunk_list(jsonEntities, chunkSize)
chunkCount = math.ceil(len(jsonEntities) / chunkSize)
sessionId = uuid.uuid4().hex
print(f"indexing {len(jsonEntities)} entities")
for i, entities in enumerate(chunkList):
isLast = i == chunkCount
print(f'Processing chunk {i} / {len(jsonEntities) / chunkSize}')
jsonstring = json.dumps(entities)
result:EntityIndexResult = toolset.Client.EntityIndexAsync(jsonstring, sessionId, isLast).Result
timer_end = time.time()
toolset.Logger.LogInformation(f"Update was successful: {result.Success} - and was done in {timer_end - timer_start} seconds.")
def chunk_list(lst, chunk_size):
for i in range(0, len(lst), chunk_size):
yield lst[i: i + chunk_size]

View File

@@ -107,6 +107,8 @@ class Client:
# pass
async def EntityIndexAsync(jsonEntity:str) -> EntityIndexResult:
pass
async def EntityIndexAsync(jsonEntity:str, sessionId:str, sessionComplete:bool) -> EntityIndexResult:
pass
async def EntityIndexAsync(searchdomain:str, jsonEntity:str) -> EntityIndexResult:
pass
async def EntityListAsync(returnEmbeddings:bool = False) -> EntityListResults:

View File

@@ -21,7 +21,8 @@
"ApiKeys": ["xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"],
"Server": {
"BaseUri": "http://localhost:5146",
"ApiKey": "yyyyyyyy-yyyy-yyyy-yyyy-yyyyyyyyyyyy"
}
"ApiKey": "APIKeyForTheServer"
},
"PythonRuntime": "libpython3.13.so"
}
}

View File

@@ -5,26 +5,8 @@
"Microsoft.AspNetCore": "Warning"
}
},
"Kestrel":{
"Endpoints": {
"http":{
"Url": "http://0.0.0.0:5120"
}
}
},
"Embeddingsearch": {
"BaseUri": "http://172.17.0.1:5146",
"ApiKeys": ["b54ea868-496e-11f0-9cc7-f79f06b160e5", "bbdeedf0-496e-11f0-9744-97e28c221f67"]
},
"EmbeddingsearchIndexer": {
"Elmah": {
"AllowedHosts": [
"127.0.0.1",
"::1",
"172.17.0.1"
]
},
"Worker":
"Indexer": {
"Workers":
[
{
"Name": "pythonExample",
@@ -36,6 +18,12 @@
}
]
}
]
],
"ApiKeys": ["APIKeyOfYourChoice", "AnotherOneIfYouLike"],
"Server": {
"BaseUri": "http://172.17.0.1:5146",
"ApiKey": "APIKeyForTheServer"
},
"PythonRuntime": "libpython3.13.so"
}
}

View File

@@ -13,7 +13,7 @@ public class AIProvider
{
private readonly ILogger<AIProvider> _logger;
private readonly EmbeddingSearchOptions _configuration;
public Dictionary<string, AiProvider> aIProvidersConfiguration;
public Dictionary<string, AiProvider> AiProvidersConfiguration;
public AIProvider(ILogger<AIProvider> logger, IOptions<EmbeddingSearchOptions> configuration)
{
@@ -27,16 +27,21 @@ public class AIProvider
}
else
{
aIProvidersConfiguration = retrievedAiProvidersConfiguration;
AiProvidersConfiguration = retrievedAiProvidersConfiguration;
}
}
public float[] GenerateEmbeddings(string modelUri, string[] input)
public float[] GenerateEmbeddings(string modelUri, string input)
{
return [.. GenerateEmbeddings(modelUri, [input]).First()];
}
public IEnumerable<float[]> GenerateEmbeddings(string modelUri, string[] input)
{
Uri uri = new(modelUri);
string provider = uri.Scheme;
string model = uri.AbsolutePath;
AiProvider? aIProvider = aIProvidersConfiguration
AiProvider? aIProvider = AiProvidersConfiguration
.FirstOrDefault(x => string.Equals(x.Key.ToLower(), provider.ToLower()))
.Value;
if (aIProvider is null)
@@ -103,13 +108,123 @@ public class AIProvider
try
{
JObject responseContentJson = JObject.Parse(responseContent);
JToken? responseContentTokens = responseContentJson.SelectToken(embeddingsJsonPath);
if (responseContentTokens is null)
List<JToken>? responseContentTokens = [.. responseContentJson.SelectTokens(embeddingsJsonPath)];
if (responseContentTokens is null || responseContentTokens.Count == 0)
{
_logger.LogError("Unable to select tokens using JSONPath {embeddingsJsonPath} for string: {responseContent}.", [embeddingsJsonPath, responseContent]);
throw new JSONPathSelectionException(embeddingsJsonPath, responseContent);
if (responseContentJson.TryGetValue("error", out JToken? errorMessageJson) && errorMessageJson is not null)
{
string errorMessage = errorMessageJson.Value<string>() ?? "";
_logger.LogError("Unable to retrieve embeddings due to error: {errorMessage}", [errorMessage]);
throw new Exception($"Unable to retrieve embeddings due to error: {errorMessage}");
} else
{
_logger.LogError("Unable to select tokens using JSONPath {embeddingsJsonPath} for string: {responseContent}.", [embeddingsJsonPath, responseContent]);
throw new JSONPathSelectionException(embeddingsJsonPath, responseContent);
}
}
return [.. responseContentTokens.Values<float>()];
return [.. responseContentTokens.Select(token => token.ToObject<float[]>() ?? throw new Exception("Unable to cast embeddings response to float[]"))];
}
catch (Exception ex)
{
_logger.LogError("Unable to parse the response to valid embeddings. {ex.Message}", [ex.Message]);
throw;
}
}
public IEnumerable<(int index, float score)> Rerank(string modelUri, string input, string[] documents, int topN)
{
Uri uri = new(modelUri);
string provider = uri.Scheme;
string model = uri.AbsolutePath;
AiProvider? aIProvider = AiProvidersConfiguration
.FirstOrDefault(x => string.Equals(x.Key.ToLower(), provider.ToLower()))
.Value;
if (aIProvider is null)
{
_logger.LogError("Model provider {provider} not found in configuration. Requested model: {modelUri}", [provider, modelUri]);
throw new ServerConfigurationException($"Model provider {provider} not found in configuration. Requested model: {modelUri}");
}
using var httpClient = new HttpClient();
httpClient.Timeout = TimeSpan.FromMinutes(150);
string indexJsonPath = "";
string scoreJsonPath = "";
IEnumerable<(string, float)> values = [];
Uri baseUri = new(aIProvider.BaseURL);
Uri requestUri;
IRerankRequestBody rerankRequestBody;
string[][] requestHeaders = [];
switch (aIProvider.Handler)
{
case "openai":
indexJsonPath = "$.results[*].index";
scoreJsonPath = "$.results[*].relevance_score";
requestUri = new Uri(baseUri, "/v1/rerank");
rerankRequestBody = new OpenAIRerankRequestBody()
{
model = model,
query = input,
documents = documents,
top_n = topN
};
if (aIProvider.ApiKey is not null)
{
requestHeaders = [
["Authorization", $"Bearer {aIProvider.ApiKey}"]
];
}
break;
default:
_logger.LogError("Invalid reranking handler {aIProvider.Handler} in AiProvider {provider}.", [aIProvider.Handler, provider]);
throw new ServerConfigurationException($"Unknown handler {aIProvider.Handler} in AiProvider {provider}.");
}
var requestContent = new StringContent(
JsonConvert.SerializeObject(rerankRequestBody),
Encoding.UTF8,
"application/json"
);
var request = new HttpRequestMessage()
{
RequestUri = requestUri,
Method = HttpMethod.Post,
Content = requestContent
};
foreach (var header in requestHeaders)
{
request.Headers.Add(header[0], header[1]);
}
HttpResponseMessage response = httpClient.PostAsync(requestUri, requestContent).Result;
string responseContent = response.Content.ReadAsStringAsync().Result;
try
{
JObject responseContentJson = JObject.Parse(responseContent);
List<JToken>? responseContentIndexTokens = [.. responseContentJson.SelectTokens(indexJsonPath)];
List<JToken>? responseContentScoreTokens = [.. responseContentJson.SelectTokens(scoreJsonPath)];
if (responseContentIndexTokens is null || responseContentIndexTokens.Count == 0
|| responseContentScoreTokens is null || responseContentScoreTokens.Count == 0)
{
if (responseContentJson.TryGetValue("error", out JToken? errorMessageJson) && errorMessageJson is not null)
{
string errorMessage = (string?)errorMessageJson.Value<string>("message") ?? "";
string errorCode = (string?)errorMessageJson.Value<string>("code") ?? "";
string errorType = (string?)errorMessageJson.Value<string>("type") ?? "";
_logger.LogError("Unable to retrieve reranking results due to error: {errorCode} - {errorMessage} - {errorType}", [errorCode, errorMessage, errorType]);
throw new Exception($"Unable to retrieve reranking results due to error: {errorMessage}");
} else
{
_logger.LogError("Unable to select tokens using JSONPath {indexJsonPath} for string: {responseContent}.", [indexJsonPath, responseContent]);
throw new JSONPathSelectionException(indexJsonPath, responseContent);
}
}
IEnumerable<int> indices = responseContentIndexTokens.Select(token => token.ToObject<int>());
IEnumerable<float> scores = responseContentScoreTokens.Select(token => token.ToObject<float>());
IEnumerable<(int index, float score)> zipped = indices.Zip(scores, (index, score) => (index, score));
return zipped;
}
catch (Exception ex)
{
@@ -120,7 +235,7 @@ public class AIProvider
public string[] GetModels()
{
var aIProviders = aIProvidersConfiguration;
var aIProviders = AiProvidersConfiguration;
List<string> results = [];
foreach (KeyValuePair<string, AiProvider> aIProviderKV in aIProviders)
{
@@ -225,4 +340,16 @@ public class OpenAIEmbedRequestBody : IEmbedRequestBody
{
public required string model { get; set; }
public required string[] input { get; set; }
}
public interface IRerankRequestBody { }
public class OpenAIRerankRequestBody : IRerankRequestBody
{
public required string model { get; set; }
public required string query { get; set; }
public required int top_n { get; set; }
public required string[] documents { get; set; }
}

View File

@@ -14,6 +14,9 @@ public class EntityController : ControllerBase
private SearchdomainManager _domainManager;
private readonly SearchdomainHelper _searchdomainHelper;
private readonly DatabaseHelper _databaseHelper;
private readonly Dictionary<string, EntityIndexSessionData> _sessions = [];
private readonly object _sessionLock = new();
private const int SessionTimeoutMinutes = 60; // TODO: remove magic number; add an optional configuration option
public EntityController(ILogger<EntityController> logger, IConfiguration config, SearchdomainManager domainManager, SearchdomainHelper searchdomainHelper, DatabaseHelper databaseHelper)
{
@@ -46,34 +49,34 @@ public class EntityController : ControllerBase
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
EntityListResults entityListResults = new() {Results = [], Success = true};
foreach (Entity entity in searchdomain_.entityCache)
foreach ((string _, Entity entity) in searchdomain_.EntityCache)
{
List<AttributeResult> attributeResults = [];
foreach (KeyValuePair<string, string> attribute in entity.attributes)
foreach (KeyValuePair<string, string> attribute in entity.Attributes)
{
attributeResults.Add(new AttributeResult() {Name = attribute.Key, Value = attribute.Value});
}
List<DatapointResult> datapointResults = [];
foreach (Datapoint datapoint in entity.datapoints)
foreach (Datapoint datapoint in entity.Datapoints)
{
if (returnModels)
{
List<EmbeddingResult> embeddingResults = [];
foreach ((string, float[]) embedding in datapoint.embeddings)
foreach ((string, float[]) embedding in datapoint.Embeddings)
{
embeddingResults.Add(new EmbeddingResult() {Model = embedding.Item1, Embeddings = returnEmbeddings ? embedding.Item2 : []});
}
datapointResults.Add(new DatapointResult() {Name = datapoint.name, ProbMethod = datapoint.probMethod.name, SimilarityMethod = datapoint.similarityMethod.name, Embeddings = embeddingResults});
datapointResults.Add(new DatapointResult() {Name = datapoint.Name, ProbMethod = datapoint.ProbMethod.Name, SimilarityMethod = datapoint.SimilarityMethod.Name, Embeddings = embeddingResults});
}
else
{
datapointResults.Add(new DatapointResult() {Name = datapoint.name, ProbMethod = datapoint.probMethod.name, SimilarityMethod = datapoint.similarityMethod.name, Embeddings = null});
datapointResults.Add(new DatapointResult() {Name = datapoint.Name, ProbMethod = datapoint.ProbMethod.Name, SimilarityMethod = datapoint.SimilarityMethod.Name, Embeddings = null});
}
}
EntityListResult entityListResult = new()
{
Name = entity.name,
ProbMethod = entity.probMethodName,
Name = entity.Name,
ProbMethod = entity.ProbMethodName,
Attributes = attributeResults,
Datapoints = datapointResults
};
@@ -86,67 +89,182 @@ public class EntityController : ControllerBase
/// Index entities
/// </summary>
/// <remarks>
/// Behavior: Creates new entities, but overwrites existing entities that have the same name
/// Behavior: Updates the index using the provided entities. Creates new entities, overwrites existing entities with the same name, and deletes entities that are not part of the index anymore.
///
/// Can be executed in a single request or in multiple chunks using a (self-defined) session UUID string.
///
/// For session-based chunk uploads:
/// - Provide sessionId to accumulate entities across multiple requests
/// - Set sessionComplete=true on the final request to finalize and delete entities that are not in the accumulated list
/// - Without sessionId: Missing entities will be deleted from the searchdomain.
/// - Sessions expire after 60 minutes of inactivity (or as otherwise configured in the appsettings)
/// </remarks>
/// <param name="jsonEntities">Entities to index</param>
/// <param name="sessionId">Optional session ID for batch uploads across multiple requests</param>
/// <param name="sessionComplete">If true, finalizes the session and deletes entities not in the accumulated list</param>
[HttpPut("/Entities")]
public ActionResult<EntityIndexResult> Index([FromBody] List<JSONEntity>? jsonEntities)
public async Task<ActionResult<EntityIndexResult>> Index(
[FromBody] List<JSONEntity>? jsonEntities,
string? sessionId = null,
bool sessionComplete = false)
{
try
{
List<Entity>? entities = _searchdomainHelper.EntitiesFromJSON(
if (sessionId is null || string.IsNullOrWhiteSpace(sessionId))
{
sessionId = Guid.NewGuid().ToString(); // Create a short-lived session
sessionComplete = true; // If no sessionId was set, there is no trackable session. The pseudo-session ends here.
}
// Periodic cleanup of expired sessions
CleanupExpiredEntityIndexSessions();
EntityIndexSessionData session = GetOrCreateEntityIndexSession(sessionId);
if (jsonEntities is null && !sessionComplete)
{
return BadRequest(new EntityIndexResult() { Success = false, Message = "jsonEntities can only be null for a complete session" });
} else if (jsonEntities is null && sessionComplete)
{
await EntityIndexSessionDeleteUnindexedEntities(session);
return Ok(new EntityIndexResult() { Success = true });
}
// Standard entity indexing (upsert behavior)
List<Entity>? entities = await _searchdomainHelper.EntitiesFromJSON(
_domainManager,
_logger,
JsonSerializer.Serialize(jsonEntities));
if (entities is not null && jsonEntities is not null)
{
List<string> invalidatedSearchdomains = [];
foreach (var jsonEntity in jsonEntities)
session.AccumulatedEntities.AddRange(entities);
if (sessionComplete)
{
string jsonEntityName = jsonEntity.Name;
string jsonEntitySearchdomainName = jsonEntity.Searchdomain;
if (entities.Select(x => x.name == jsonEntityName).Any()
&& !invalidatedSearchdomains.Contains(jsonEntitySearchdomainName))
{
invalidatedSearchdomains.Add(jsonEntitySearchdomainName);
}
await EntityIndexSessionDeleteUnindexedEntities(session);
}
return Ok(new EntityIndexResult() { Success = true });
}
else
{
_logger.LogError("Unable to deserialize an entity");
ElmahCore.ElmahExtensions.RaiseError(new Exception("Unable to deserialize an entity"));
return Ok(new EntityIndexResult() { Success = false, Message = "Unable to deserialize an entity"});
}
} catch (Exception ex)
{
if (ex.InnerException is not null) ex = ex.InnerException;
_logger.LogError("Unable to index the provided entities. {ex.Message} - {ex.StackTrace}", [ex.Message, ex.StackTrace]);
ElmahCore.ElmahExtensions.RaiseError(ex);
return Ok(new EntityIndexResult() { Success = false, Message = ex.Message });
}
}
private async Task EntityIndexSessionDeleteUnindexedEntities(EntityIndexSessionData session)
{
var entityGroupsBySearchdomain = session.AccumulatedEntities.GroupBy(e => e.Searchdomain);
foreach (var entityGroup in entityGroupsBySearchdomain)
{
string searchdomainName = entityGroup.Key;
var entityNamesInRequest = entityGroup.Select(e => e.Name).ToHashSet();
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) =
SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomainName, _logger);
if (searchdomain_ is not null && httpStatusCode is null) // If getting searchdomain was successful
{
var entitiesToDelete = searchdomain_.EntityCache
.Where(kvp => !entityNamesInRequest.Contains(kvp.Value.Name))
.Select(kvp => kvp.Value)
.ToList();
foreach (var entity in entitiesToDelete)
{
searchdomain_.ReconciliateOrInvalidateCacheForDeletedEntity(entity);
await _databaseHelper.RemoveEntity(
[],
_domainManager.Helper,
entity.Name,
searchdomainName);
searchdomain_.EntityCache.TryRemove(entity.Name, out _);
_logger.LogInformation("Deleted entity {entityName} from {searchdomain}", entity.Name, searchdomainName);
}
}
else
{
_logger.LogWarning("Unable to delete entities for searchdomain {searchdomain}", searchdomainName);
}
}
}
/// <summary>
/// Deletes an entity
/// </summary>
/// <param name="searchdomain">Name of the searchdomain</param>
/// <param name="entityName">Name of the entity</param>
[HttpDelete]
public ActionResult<EntityDeleteResults> Delete(string searchdomain, string entityName)
public async Task<ActionResult<EntityDeleteResults>> Delete(string searchdomain, string entityName)
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
Entity? entity_ = SearchdomainHelper.CacheGetEntity(searchdomain_.entityCache, entityName);
Entity? entity_ = SearchdomainHelper.CacheGetEntity(searchdomain_.EntityCache, entityName);
if (entity_ is null)
{
_logger.LogError("Unable to delete the entity {entityName} in {searchdomain} - it was not found under the specified name", [entityName, searchdomain]);
ElmahCore.ElmahExtensions.RaiseError(
new Exception(
$"Unable to delete the entity {entityName} in {searchdomain} - it was not found under the specified name"
)
);
return Ok(new EntityDeleteResults() {Success = false, Message = "Entity not found"});
}
searchdomain_.ReconciliateOrInvalidateCacheForDeletedEntity(entity_);
_databaseHelper.RemoveEntity([], _domainManager.helper, entityName, searchdomain);
searchdomain_.entityCache.RemoveAll(entity => entity.name == entityName);
return Ok(new EntityDeleteResults() {Success = true});
await _databaseHelper.RemoveEntity([], _domainManager.Helper, entityName, searchdomain);
bool success = searchdomain_.EntityCache.TryRemove(entityName, out Entity? _);
return Ok(new EntityDeleteResults() {Success = success});
}
private void CleanupExpiredEntityIndexSessions()
{
lock (_sessionLock)
{
var expiredSessions = _sessions
.Where(kvp => (DateTime.UtcNow - kvp.Value.LastInteractionAt).TotalMinutes > SessionTimeoutMinutes)
.Select(kvp => kvp.Key)
.ToList();
foreach (var sessionId in expiredSessions)
{
_sessions.Remove(sessionId);
_logger.LogWarning("Removed expired, non-closed session {sessionId}", sessionId);
}
}
}
private EntityIndexSessionData GetOrCreateEntityIndexSession(string sessionId)
{
lock (_sessionLock)
{
if (!_sessions.TryGetValue(sessionId, out var session))
{
session = new EntityIndexSessionData();
_sessions[sessionId] = session;
} else
{
session.LastInteractionAt = DateTime.UtcNow;
}
return session;
}
}
}
public class EntityIndexSessionData
{
public List<Entity> AccumulatedEntities { get; set; } = [];
public DateTime LastInteractionAt { get; set; } = DateTime.UtcNow;
}

View File

@@ -35,11 +35,11 @@ public class HomeController : Controller
[Authorize]
[HttpGet("Searchdomains")]
public IActionResult Searchdomains()
public async Task<ActionResult> Searchdomains()
{
HomeIndexViewModel viewModel = new()
{
Searchdomains = _domainManager.ListSearchdomains()
Searchdomains = await _domainManager.ListSearchdomainsAsync()
};
return View(viewModel);
}

View File

@@ -5,6 +5,7 @@ using Microsoft.AspNetCore.Http.HttpResults;
using Microsoft.AspNetCore.Mvc;
using Server.Exceptions;
using Server.Helper;
using Shared;
using Shared.Models;
namespace Server.Controllers;
@@ -28,12 +29,12 @@ public class SearchdomainController : ControllerBase
/// Lists all searchdomains
/// </summary>
[HttpGet("/Searchdomains")]
public ActionResult<SearchdomainListResults> List()
public async Task<ActionResult<SearchdomainListResults>> List()
{
List<string> results;
try
{
results = _domainManager.ListSearchdomains();
results = await _domainManager.ListSearchdomainsAsync();
}
catch (Exception)
{
@@ -50,11 +51,15 @@ public class SearchdomainController : ControllerBase
/// <param name="searchdomain">Name of the searchdomain</param>
/// <param name="settings">Optional initial settings</param>
[HttpPost]
public ActionResult<SearchdomainCreateResults> Create([Required]string searchdomain, [FromBody]SearchdomainSettings settings = new())
public async Task<ActionResult<SearchdomainCreateResults>> Create([Required]string searchdomain, [FromBody]SearchdomainSettings settings = new())
{
try
{
int id = _domainManager.CreateSearchdomain(searchdomain, settings);
if (settings.QueryCacheSize <= 0)
{
settings.QueryCacheSize = 1_000_000; // TODO get rid of this magic number
}
int id = await _domainManager.CreateSearchdomain(searchdomain, settings);
return Ok(new SearchdomainCreateResults(){Id = id, Success = true});
} catch (Exception)
{
@@ -68,7 +73,7 @@ public class SearchdomainController : ControllerBase
/// </summary>
/// <param name="searchdomain">Name of the searchdomain</param>
[HttpDelete]
public ActionResult<SearchdomainDeleteResults> Delete([Required]string searchdomain)
public async Task<ActionResult<SearchdomainDeleteResults>> Delete([Required]string searchdomain)
{
bool success;
int deletedEntries;
@@ -76,7 +81,7 @@ public class SearchdomainController : ControllerBase
try
{
success = true;
deletedEntries = _domainManager.DeleteSearchdomain(searchdomain);
deletedEntries = await _domainManager.DeleteSearchdomain(searchdomain);
}
catch (SearchdomainNotFoundException ex)
{
@@ -104,7 +109,7 @@ public class SearchdomainController : ControllerBase
/// <param name="newName">Updated name of the searchdomain</param>
/// <param name="settings">Updated settings of searchdomain</param>
[HttpPut]
public ActionResult<SearchdomainUpdateResults> Update([Required]string searchdomain, string newName, [FromBody]SearchdomainSettings? settings)
public async Task<ActionResult<SearchdomainUpdateResults>> Update([Required]string searchdomain, string newName, [FromBody]SearchdomainSettings? settings)
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
@@ -113,18 +118,18 @@ public class SearchdomainController : ControllerBase
Dictionary<string, dynamic> parameters = new()
{
{"name", newName},
{"id", searchdomain_.id}
{"id", searchdomain_.Id}
};
searchdomain_.helper.ExecuteSQLNonQuery("UPDATE searchdomain set name = @name WHERE id = @id", parameters);
await searchdomain_.Helper.ExecuteSQLNonQuery("UPDATE searchdomain set name = @name WHERE id = @id", parameters);
} else
{
Dictionary<string, dynamic> parameters = new()
{
{"name", newName},
{"settings", settings},
{"id", searchdomain_.id}
{"id", searchdomain_.Id}
};
searchdomain_.helper.ExecuteSQLNonQuery("UPDATE searchdomain set name = @name, settings = @settings WHERE id = @id", parameters);
await searchdomain_.Helper.ExecuteSQLNonQuery("UPDATE searchdomain set name = @name, settings = @settings WHERE id = @id", parameters);
}
return Ok(new SearchdomainUpdateResults(){Success = true});
}
@@ -134,13 +139,85 @@ public class SearchdomainController : ControllerBase
/// </summary>
/// <param name="searchdomain">Name of the searchdomain</param>
[HttpGet("Queries")]
public ActionResult<SearchdomainSearchesResults> GetQueries([Required]string searchdomain)
public ActionResult<SearchdomainQueriesResults> GetQueries([Required]string searchdomain)
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
Dictionary<string, DateTimedSearchResult> searchCache = searchdomain_.searchCache;
Dictionary<string, DateTimedSearchResult> searchCache = searchdomain_.QueryCache.AsDictionary();
return Ok(new SearchdomainSearchesResults() { Searches = searchCache, Success = true });
return Ok(new SearchdomainQueriesResults() { Searches = searchCache, Success = true });
}
/// <summary>
/// Executes a query in the searchdomain and reranks the result using a specified reranker
/// </summary>
/// <param name="searchdomain">Name of the searchdomain</param>
/// <param name="query">Query to execute</param>
/// <param name="topN">Return only the top N results</param>
/// <param name="returnAttributes">Return the attributes of the object</param>
[HttpPost("QueryReranked")]
public ActionResult<EntityRerankResults> QueryReranked([Required]string searchdomain, [Required]string query, [Required]string rerankerModel, int topN, int topNRetrieval, ProbMethodEnum probMethod = ProbMethodEnum.HVEWAvg, bool returnAttributes = false)
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
List<(float, string)> results = searchdomain_.Search(query, topNRetrieval);
List<(string Name, Dictionary<string, string> Attributes)> queryResults = [.. results.Select(r => (
Name: r.Item2,
Attributes: searchdomain_.EntityCache[r.Item2]?.Attributes ?? []
))];
// Key: Attribute name
Dictionary<string, List<(string EntityName, string AttributeValue)>> resultsByAttribute = [];
queryResults.ForEach(r =>
{
foreach (var kv in r.Attributes)
{
if (!resultsByAttribute.TryGetValue(kv.Key, out List<(string EntityName, string AttributeValue)>? values) || values is null)
{
values = [];
resultsByAttribute[kv.Key] = values;
}
values.Add((r.Name, kv.Value));
}
});
// Key: EntityName
Dictionary<string, List<(string attribute, float score)>> scoresByEntity = [];
foreach (var kv in resultsByAttribute)
{
string attributeName = kv.Key;
List<(string EntityName, string AttributeValue)> nameValuePairs = kv.Value;
List<string> documents = [.. nameValuePairs.Select(r => r.AttributeValue)];
List<(int index, float score)> rerankResults = [.. searchdomain_.AiProvider.Rerank(rerankerModel, query, [.. documents], topN)];
List<(string entityName, float score)> rerankedScores = [.. rerankResults.Select(r => (nameValuePairs.ElementAt(r.index).EntityName, r.score))];
foreach ((string entityName, float score) in rerankedScores)
{
if (!scoresByEntity.TryGetValue(entityName, out List<(string attribute, float score)>? values) || values is null)
{
values = [];
scoresByEntity[entityName] = values;
}
values.Add((attributeName, score));
}
}
List<EntityRerankResult> entityRerankResults = [.. scoresByEntity.Select(scoreKV =>
{
string entityName = scoreKV.Key;
float score = new ProbMethod(probMethod).Method(scoreKV.Value);
return new EntityRerankResult()
{
Name = entityName,
Value = score,
Attributes = returnAttributes ? (searchdomain_.EntityCache[entityName]?.Attributes ?? []) : null
};
})];
return Ok(new EntityRerankResults(){Results = entityRerankResults, Success = true });
}
/// <summary>
@@ -160,7 +237,7 @@ public class SearchdomainController : ControllerBase
{
Name = r.Item2,
Value = r.Item1,
Attributes = returnAttributes ? (searchdomain_.entityCache.FirstOrDefault(x => x.name == r.Item2)?.attributes ?? null) : null
Attributes = returnAttributes ? (searchdomain_.EntityCache[r.Item2]?.Attributes ?? null) : null
})];
return Ok(new EntityQueryResults(){Results = queryResults, Success = true });
}
@@ -175,7 +252,7 @@ public class SearchdomainController : ControllerBase
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
Dictionary<string, DateTimedSearchResult> searchCache = searchdomain_.searchCache;
EnumerableLruCache<string, DateTimedSearchResult> searchCache = searchdomain_.QueryCache;
bool containsKey = searchCache.ContainsKey(query);
if (containsKey)
{
@@ -196,7 +273,7 @@ public class SearchdomainController : ControllerBase
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
Dictionary<string, DateTimedSearchResult> searchCache = searchdomain_.searchCache;
EnumerableLruCache<string, DateTimedSearchResult> searchCache = searchdomain_.QueryCache;
bool containsKey = searchCache.ContainsKey(query);
if (containsKey)
{
@@ -217,7 +294,7 @@ public class SearchdomainController : ControllerBase
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
SearchdomainSettings settings = searchdomain_.settings;
SearchdomainSettings settings = searchdomain_.Settings;
return Ok(new SearchdomainSettingsResults() { Settings = settings, Success = true });
}
@@ -225,18 +302,20 @@ public class SearchdomainController : ControllerBase
/// Update the settings of a searchdomain
/// </summary>
/// <param name="searchdomain">Name of the searchdomain</param>
/// <param name="request">Settings to apply to the searchdomain</param>
[HttpPut("Settings")]
public ActionResult<SearchdomainUpdateResults> UpdateSettings([Required]string searchdomain, [Required][FromBody] SearchdomainSettings request)
public async Task<ActionResult<SearchdomainUpdateResults>> UpdateSettings([Required]string searchdomain, [Required][FromBody] SearchdomainSettings request)
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
Dictionary<string, dynamic> parameters = new()
{
{"settings", JsonSerializer.Serialize(request)},
{"id", searchdomain_.id}
{"id", searchdomain_.Id}
};
searchdomain_.helper.ExecuteSQLNonQuery("UPDATE searchdomain set settings = @settings WHERE id = @id", parameters);
searchdomain_.settings = request;
await searchdomain_.Helper.ExecuteSQLNonQuery("UPDATE searchdomain set settings = @settings WHERE id = @id", parameters);
searchdomain_.Settings = request;
searchdomain_.QueryCache.Capacity = request.QueryCacheSize;
return Ok(new SearchdomainUpdateResults(){Success = true});
}
@@ -245,15 +324,17 @@ public class SearchdomainController : ControllerBase
/// </summary>
/// <param name="searchdomain">Name of the searchdomain</param>
[HttpGet("QueryCache/Size")]
public ActionResult<SearchdomainSearchCacheSizeResults> GetSearchCacheSize([Required]string searchdomain)
public ActionResult<SearchdomainQueryCacheSizeResults> GetQueryCacheSize([Required]string searchdomain)
{
if (!SearchdomainHelper.IsSearchdomainLoaded(_domainManager, searchdomain))
{
return Ok(new SearchdomainSearchCacheSizeResults() { QueryCacheSizeBytes = 0, Success = true });
return Ok(new SearchdomainQueryCacheSizeResults() { SizeBytes = 0, ElementCount = 0, ElementMaxCount = 0, Success = true });
}
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
return Ok(new SearchdomainSearchCacheSizeResults() { QueryCacheSizeBytes = searchdomain_.GetSearchCacheSize(), Success = true });
int elementCount = searchdomain_.QueryCache.Count;
int ElementMaxCount = searchdomain_.Settings.QueryCacheSize;
return Ok(new SearchdomainQueryCacheSizeResults() { SizeBytes = searchdomain_.GetSearchCacheSize(), ElementCount = elementCount, ElementMaxCount = ElementMaxCount, Success = true });
}
/// <summary>
@@ -278,7 +359,7 @@ public class SearchdomainController : ControllerBase
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_domainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new SearchdomainUpdateResults(){Success = false, Message = message});
long sizeInBytes = DatabaseHelper.GetSearchdomainDatabaseSize(searchdomain_.helper, searchdomain);
return Ok(new SearchdomainGetDatabaseSizeResult() { SearchdomainDatabaseSizeBytes = sizeInBytes, Success = true });
long EmbeddingCacheUtilization = DatabaseHelper.GetSearchdomainDatabaseSize(searchdomain_.Helper, searchdomain);
return Ok(new SearchdomainGetDatabaseSizeResult() { SearchdomainDatabaseSizeBytes = EmbeddingCacheUtilization, Success = true });
}
}

View File

@@ -1,14 +1,11 @@
namespace Server.Controllers;
using System.Reflection;
using System.Text.Json;
using AdaptiveExpressions;
using ElmahCore;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Extensions.Options;
using Server.Exceptions;
using Server.Helper;
using Server.Models;
using Shared;
using Shared.Models;
[ApiController]
@@ -61,36 +58,59 @@ public class ServerController : ControllerBase
long size = 0;
long elementCount = 0;
long embeddingsCount = 0;
LRUCache<string, Dictionary<string, float[]>> embeddingCache = _searchdomainManager.embeddingCache;
var cacheListField = embeddingCache.GetType()
.GetField("_cacheList", BindingFlags.Instance | BindingFlags.NonPublic) ?? throw new InvalidOperationException("_cacheList field not found"); // TODO Remove this unsafe reflection atrocity
LinkedList<string> cacheListOriginal = (LinkedList<string>)cacheListField.GetValue(embeddingCache)!;
LinkedList<string> cacheList = new(cacheListOriginal);
EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache = _searchdomainManager.EmbeddingCache;
foreach (string key in cacheList)
foreach (KeyValuePair<string, Dictionary<string, float[]>> kv in embeddingCache)
{
if (!embeddingCache.TryGet(key, out var entry))
continue;
// estimate size
string key = kv.Key;
Dictionary<string, float[]> entry = kv.Value;
size += EstimateEntrySize(key, entry);
elementCount++;
embeddingsCount += entry.Keys.Count;
}
var sqlHelper = DatabaseHelper.GetSQLHelper(_options.Value);
var sqlHelper = _searchdomainManager.Helper;
var databaseTotalSize = DatabaseHelper.GetTotalDatabaseSize(sqlHelper);
Task<long> entityCountTask = DatabaseHelper.CountEntities(sqlHelper);
long queryCacheUtilization = 0;
foreach (string searchdomain in _searchdomainManager.ListSearchdomains())
long queryCacheElementCount = 0;
long queryCacheMaxElementCountAll = 0;
long queryCacheMaxElementCountLoadedSearchdomainsOnly = 0;
foreach (string searchdomain in await _searchdomainManager.ListSearchdomainsAsync())
{
if (SearchdomainHelper.IsSearchdomainLoaded(_searchdomainManager, searchdomain))
{
(Searchdomain? searchdomain_, int? httpStatusCode, string? message) = SearchdomainHelper.TryGetSearchdomain(_searchdomainManager, searchdomain, _logger);
if (searchdomain_ is null || httpStatusCode is not null) return StatusCode(httpStatusCode ?? 500, new ServerGetStatsResult(){Success = false, Message = message});
queryCacheUtilization += searchdomain_.GetSearchCacheSize();
queryCacheElementCount += searchdomain_.QueryCache.Count;
queryCacheMaxElementCountAll += searchdomain_.QueryCache.Capacity;
queryCacheMaxElementCountLoadedSearchdomainsOnly += searchdomain_.QueryCache.Capacity;
} else
{
var searchdomainSettings = DatabaseHelper.GetSearchdomainSettings(sqlHelper, searchdomain);
queryCacheMaxElementCountAll += searchdomainSettings.QueryCacheSize;
}
};
long entityCount = await entityCountTask;
return new ServerGetStatsResult() { Success = true, EntityCount = entityCount, QueryCacheUtilization = queryCacheUtilization, SizeInBytes = size, MaxElementCount = _searchdomainManager.EmbeddingCacheMaxCount, ElementCount = elementCount, EmbeddingsCount = embeddingsCount};
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
long ramTotalSize = GC.GetTotalMemory(false);
return new ServerGetStatsResult() {
Success = true,
EntityCount = entityCount,
QueryCacheUtilization = queryCacheUtilization,
QueryCacheElementCount = queryCacheElementCount,
QueryCacheMaxElementCountAll = queryCacheMaxElementCountAll,
QueryCacheMaxElementCountLoadedSearchdomainsOnly = queryCacheMaxElementCountLoadedSearchdomainsOnly,
EmbeddingCacheUtilization = size,
EmbeddingCacheMaxElementCount = _searchdomainManager.EmbeddingCacheMaxCount,
EmbeddingCacheElementCount = elementCount,
EmbeddingsCount = embeddingsCount,
DatabaseTotalSize = databaseTotalSize,
RamTotalSize = ramTotalSize
};
} catch (Exception ex)
{
ElmahExtensions.RaiseError(ex);

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

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View File

@@ -1,61 +1,141 @@
using AdaptiveExpressions;
using OllamaSharp;
using OllamaSharp.Models;
using System.Collections.Concurrent;
using Shared;
using Shared.Models;
namespace Server;
public class Datapoint
{
public string name;
public ProbMethod probMethod;
public SimilarityMethod similarityMethod;
public List<(string, float[])> embeddings;
public string hash;
public string Name;
public ProbMethod ProbMethod;
public SimilarityMethod SimilarityMethod;
public List<(string, float[])> Embeddings;
public string Hash;
public int Id;
public Datapoint(string name, ProbMethod probMethod, SimilarityMethod similarityMethod, string hash, List<(string, float[])> embeddings)
public Datapoint(string name, ProbMethodEnum probMethod, SimilarityMethodEnum similarityMethod, string hash, List<(string, float[])> embeddings, int id)
{
this.name = name;
this.probMethod = probMethod;
this.similarityMethod = similarityMethod;
this.hash = hash;
this.embeddings = embeddings;
Name = name;
ProbMethod = new ProbMethod(probMethod);
SimilarityMethod = new SimilarityMethod(similarityMethod);
Hash = hash;
Embeddings = embeddings;
Id = id;
}
public Datapoint(string name, ProbMethod probMethod, SimilarityMethod similarityMethod, string hash, List<(string, float[])> embeddings, int id)
{
Name = name;
ProbMethod = probMethod;
SimilarityMethod = similarityMethod;
Hash = hash;
Embeddings = embeddings;
Id = id;
}
public float CalcProbability(List<(string, float)> probabilities)
{
return probMethod.method(probabilities);
return ProbMethod.Method(probabilities);
}
public static Dictionary<string, float[]> GenerateEmbeddings(string content, List<string> models, AIProvider aIProvider)
public static Dictionary<string, float[]> GetEmbeddings(string content, ConcurrentBag<string> models, AIProvider aIProvider, EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache)
{
return GenerateEmbeddings(content, models, aIProvider, new());
}
public static Dictionary<string, float[]> GenerateEmbeddings(string content, List<string> models, AIProvider aIProvider, LRUCache<string, Dictionary<string, float[]>> embeddingCache)
{
Dictionary<string, float[]> retVal = [];
Dictionary<string, float[]> embeddings = [];
bool embeddingCacheHasContent = embeddingCache.TryGetValue(content, out var embeddingCacheForContent);
if (!embeddingCacheHasContent || embeddingCacheForContent is null)
{
foreach (string model in models)
{
embeddings[model] = GenerateEmbeddings(content, model, aIProvider, embeddingCache);
}
return embeddings;
}
foreach (string model in models)
{
bool embeddingCacheHasModel = embeddingCache.TryGet(model, out var embeddingCacheForModel);
if (embeddingCacheHasModel && embeddingCacheForModel.ContainsKey(content))
bool embeddingCacheHasModel = embeddingCacheForContent.TryGetValue(model, out float[]? embeddingCacheForModel);
if (embeddingCacheHasModel && embeddingCacheForModel is not null)
{
retVal[model] = embeddingCacheForModel[content];
continue;
}
var response = aIProvider.GenerateEmbeddings(model, [content]);
if (response is not null)
embeddings[model] = embeddingCacheForModel;
} else
{
retVal[model] = response;
if (!embeddingCacheHasModel)
{
embeddingCacheForModel = [];
}
if (!embeddingCacheForModel.ContainsKey(content))
{
embeddingCacheForModel[content] = response;
}
embeddings[model] = GenerateEmbeddings(content, model, aIProvider, embeddingCache);
}
}
return retVal;
return embeddings;
}
public static Dictionary<string, Dictionary<string, float[]>> GetEmbeddings(string[] content, List<string> models, AIProvider aIProvider, EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache)
{
Dictionary<string, Dictionary<string, float[]>> embeddings = [];
foreach (string model in models)
{
List<string> toBeGenerated = [];
embeddings[model] = [];
foreach (string value in content)
{
bool generateThisEntry = true;
bool embeddingCacheHasContent = embeddingCache.TryGetValue(value, out var embeddingCacheForContent);
if (embeddingCacheHasContent && embeddingCacheForContent is not null)
{
bool embeddingCacheHasModel = embeddingCacheForContent.TryGetValue(model, out float[]? embedding);
if (embeddingCacheHasModel && embedding is not null)
{
embeddings[model][value] = embedding;
generateThisEntry = false;
}
}
if (generateThisEntry)
{
if (!toBeGenerated.Contains(value))
{
toBeGenerated.Add(value);
}
}
}
if (toBeGenerated.Count == 0)
{
continue;
}
IEnumerable<float[]> generatedEmbeddings = GenerateEmbeddings([.. toBeGenerated], model, aIProvider, embeddingCache);
if (generatedEmbeddings.Count() != toBeGenerated.Count)
{
throw new Exception("Requested embeddings count and generated embeddings count mismatched!");
}
for (int i = 0; i < toBeGenerated.Count; i++)
{
embeddings[model][toBeGenerated.ElementAt(i)] = generatedEmbeddings.ElementAt(i);
}
}
return embeddings;
}
public static IEnumerable<float[]> GenerateEmbeddings(string[] content, string model, AIProvider aIProvider, EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache)
{
IEnumerable<float[]> embeddings = aIProvider.GenerateEmbeddings(model, content);
if (embeddings.Count() != content.Length)
{
throw new Exception("Resulting embeddings count does not match up with request count");
}
for (int i = 0; i < content.Length; i++)
{
if (!embeddingCache.ContainsKey(content[i]))
{
embeddingCache[content[i]] = [];
}
embeddingCache[content[i]][model] = embeddings.ElementAt(i);
}
return embeddings;
}
public static float[] GenerateEmbeddings(string content, string model, AIProvider aIProvider, EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache)
{
float[] embeddings = aIProvider.GenerateEmbeddings(model, content);
if (!embeddingCache.ContainsKey(content))
{
embeddingCache[content] = [];
}
embeddingCache[content][model] = embeddings;
return embeddings;
}
}

View File

@@ -1,10 +1,10 @@
FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
WORKDIR /build
COPY . .
RUN dotnet restore ./Server.csproj
RUN dotnet publish ./Server.csproj -c Release -o /output
RUN dotnet restore Server/Server.csproj
RUN dotnet publish Server/Server.csproj -c Release -o /output
FROM mcr.microsoft.com/dotnet/aspnet:8.0 AS final
FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS final
WORKDIR /app
COPY --from=build /output .
ENV ASPNETCORE_ENVIRONMENT Docker

View File

@@ -1,11 +1,14 @@
using System.Collections.Concurrent;
namespace Server;
public class Entity(Dictionary<string, string> attributes, Probmethods.probMethodDelegate probMethod, string probMethodName, List<Datapoint> datapoints, string name)
public class Entity(Dictionary<string, string> attributes, Probmethods.ProbMethodDelegate probMethod, string probMethodName, ConcurrentBag<Datapoint> datapoints, string name, string searchdomain)
{
public Dictionary<string, string> attributes = attributes;
public Probmethods.probMethodDelegate probMethod = probMethod;
public string probMethodName = probMethodName;
public List<Datapoint> datapoints = datapoints;
public int id;
public string name = name;
public Dictionary<string, string> Attributes = attributes;
public Probmethods.ProbMethodDelegate ProbMethod = probMethod;
public string ProbMethodName = probMethodName;
public ConcurrentBag<Datapoint> Datapoints = datapoints;
public int Id;
public string Name = name;
public string Searchdomain = searchdomain;
}

View File

@@ -12,33 +12,33 @@ public class DatabaseHealthCheck : IHealthCheck
_searchdomainManager = searchdomainManager;
_logger = logger;
}
public Task<HealthCheckResult> CheckHealthAsync(
public async Task<HealthCheckResult> CheckHealthAsync(
HealthCheckContext context, CancellationToken cancellationToken = default)
{
try
{
DatabaseMigrations.DatabaseGetVersion(_searchdomainManager.helper);
DatabaseMigrations.DatabaseGetVersion(_searchdomainManager.Helper);
}
catch (Exception ex)
{
_logger.LogCritical("DatabaseHealthCheck - Exception occurred when retrieving and parsing database version: {ex}", ex.Message);
return Task.FromResult(
return await Task.FromResult(
HealthCheckResult.Unhealthy());
}
try
{
_searchdomainManager.helper.ExecuteSQLNonQuery("INSERT INTO settings (name, value) VALUES ('test', 'x');", []);
_searchdomainManager.helper.ExecuteSQLNonQuery("DELETE FROM settings WHERE name = 'test';", []);
await _searchdomainManager.Helper.ExecuteSQLNonQuery("INSERT INTO settings (name, value) VALUES ('test', 'x');", []);
await _searchdomainManager.Helper.ExecuteSQLNonQuery("DELETE FROM settings WHERE name = 'test';", []);
}
catch (Exception ex)
{
_logger.LogCritical("DatabaseHealthCheck - Exception occurred when executing INSERT/DELETE query: {ex}", ex.Message);
return Task.FromResult(
return await Task.FromResult(
HealthCheckResult.Unhealthy());
}
return Task.FromResult(
return await Task.FromResult(
HealthCheckResult.Healthy());
}
}

View File

@@ -0,0 +1,241 @@
using System.Configuration;
using Microsoft.Data.Sqlite;
using Microsoft.Extensions.Options;
using OllamaSharp.Models;
using Server.Models;
using Shared;
namespace Server.Helper;
public static class CacheHelper
{
public static EnumerableLruCache<string, Dictionary<string, float[]>> GetEmbeddingStore(EmbeddingSearchOptions options)
{
SQLiteHelper helper = new(options);
EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache = new((int)(options.Cache.StoreTopN ?? options.Cache.CacheTopN));
helper.ExecuteQuery(
"SELECT cache_key, model_key, embedding, idx FROM embedding_cache ORDER BY idx ASC", [], r =>
{
int embeddingOrdinal = r.GetOrdinal("embedding");
int length = (int)r.GetBytes(embeddingOrdinal, 0, null, 0, 0);
byte[] buffer = new byte[length];
r.GetBytes(embeddingOrdinal, 0, buffer, 0, length);
var cache_key = r.GetString(r.GetOrdinal("cache_key"));
var model_key = r.GetString(r.GetOrdinal("model_key"));
var embedding = SearchdomainHelper.FloatArrayFromBytes(buffer);
var index = r.GetInt32(r.GetOrdinal("idx"));
if (cache_key is null || model_key is null || embedding is null)
{
throw new Exception("Unable to get the embedding store due to a returned element being null");
}
if (!embeddingCache.TryGetValue(cache_key, out Dictionary<string, float[]>? keyElement) || keyElement is null)
{
keyElement = [];
embeddingCache[cache_key] = keyElement;
}
keyElement[model_key] = embedding;
return 0;
}
);
embeddingCache.Capacity = (int)options.Cache.CacheTopN;
return embeddingCache;
}
public static async Task UpdateEmbeddingStore(EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache, EmbeddingSearchOptions options)
{
if (options.Cache.StoreTopN is not null)
{
embeddingCache.Capacity = (int)options.Cache.StoreTopN;
}
SQLiteHelper helper = new(options);
EnumerableLruCache<string, Dictionary<string, float[]>> embeddingStore = GetEmbeddingStore(options);
var embeddingCacheMappings = GetCacheMappings(embeddingCache);
var embeddingCacheIndexMap = embeddingCacheMappings.positionToEntry;
var embeddingCacheObjectMap = embeddingCacheMappings.entryToPosition;
var embeddingStoreMappings = GetCacheMappings(embeddingStore);
var embeddingStoreIndexMap = embeddingStoreMappings.positionToEntry;
var embeddingStoreObjectMap = embeddingStoreMappings.entryToPosition;
List<int> deletedEntries = [];
foreach (KeyValuePair<int, KeyValuePair<string, Dictionary<string, float[]>>> kv in embeddingStoreIndexMap)
{
int storeEntryIndex = kv.Key;
string storeEntryString = kv.Value.Key;
bool cacheEntryExists = embeddingCacheObjectMap.TryGetValue(storeEntryString, out int cacheEntryIndex);
if (!cacheEntryExists) // Deleted
{
deletedEntries.Add(storeEntryIndex);
}
}
await RemoveEntriesFromStore(helper, deletedEntries);
List<(int Index, KeyValuePair<string, Dictionary<string, float[]>> Entry)> createdEntries = [];
List<(int Index, int NewIndex)> changedEntries = [];
List<(int Index, string Model, string Key, float[] Embedding)> AddedModels = [];
List<(int Index, string Model)> RemovedModels = [];
foreach (KeyValuePair<int, KeyValuePair<string, Dictionary<string, float[]>>> kv in embeddingCacheIndexMap)
{
int cacheEntryIndex = kv.Key;
string cacheEntryString = kv.Value.Key;
bool storeEntryExists = embeddingStoreObjectMap.TryGetValue(cacheEntryString, out int storeEntryIndex);
if (!storeEntryExists) // Created
{
createdEntries.Add((
Index: cacheEntryIndex,
Entry: kv.Value
));
continue;
}
if (cacheEntryIndex != storeEntryIndex) // Changed
{
changedEntries.Add((
Index: cacheEntryIndex,
NewIndex: storeEntryIndex
));
}
// Check for new/removed models
var storeModels = embeddingStoreIndexMap[storeEntryIndex].Value;
var cacheModels = kv.Value.Value;
// New models
foreach (var model in storeModels.Keys.Except(cacheModels.Keys))
{
RemovedModels.Add((
Index: cacheEntryIndex,
Model: model
));
}
// Removed models
foreach (var model in cacheModels.Keys.Except(storeModels.Keys))
{
AddedModels.Add((
Index: cacheEntryIndex,
Model: model,
Key: cacheEntryString,
Embedding: cacheModels[model]
));
}
}
var taskSet = new List<Task>
{
CreateEntriesInStore(helper, createdEntries),
UpdateEntryIndicesInStore(helper, changedEntries),
AddModelsToIndices(helper, AddedModels),
RemoveModelsFromIndices(helper, RemovedModels)
};
await Task.WhenAll(taskSet);
}
private static async Task CreateEntriesInStore(
SQLiteHelper helper,
List<(int Index, KeyValuePair<string, Dictionary<string, float[]>> Entry)> createdEntries)
{
helper.BulkExecuteNonQuery(
"INSERT INTO embedding_cache (cache_key, model_key, embedding, idx) VALUES (@cache_key, @model_key, @embedding, @index)",
createdEntries.SelectMany(element => {
return element.Entry.Value.Select(model => new object[]
{
new SqliteParameter("@cache_key", element.Entry.Key),
new SqliteParameter("@model_key", model.Key),
new SqliteParameter("@embedding", SearchdomainHelper.BytesFromFloatArray(model.Value)),
new SqliteParameter("@index", element.Index)
});
})
);
}
private static async Task UpdateEntryIndicesInStore(
SQLiteHelper helper,
List<(int Index, int NewIndex)> changedEntries)
{
helper.BulkExecuteNonQuery(
"UPDATE embedding_cache SET idx = @newIndex WHERE idx = @index",
changedEntries.Select(element => new object[]
{
new SqliteParameter("@index", element.Index),
new SqliteParameter("@newIndex", -element.NewIndex) // The "-" prevents in-place update collisions
})
);
helper.BulkExecuteNonQuery(
"UPDATE embedding_cache SET idx = @newIndex WHERE idx = @index",
changedEntries.Select(element => new object[]
{
new SqliteParameter("@index", -element.NewIndex),
new SqliteParameter("@newIndex", element.NewIndex) // Flip the negative prefix
})
);
}
private static async Task RemoveEntriesFromStore(
SQLiteHelper helper,
List<int> deletedEntries)
{
helper.BulkExecuteNonQuery(
"DELETE FROM embedding_cache WHERE idx = @index",
deletedEntries.Select(index => new object[]
{
new SqliteParameter("@index", index)
})
);
}
private static async Task AddModelsToIndices(
SQLiteHelper helper,
List<(int Index, string Model, string Key, float[] Embedding)> addedModels)
{
helper.BulkExecuteNonQuery(
"INSERT INTO embedding_cache (cache_key, model_key, embedding, idx) VALUES (@cache_key, @model_key, @embedding, @index)",
addedModels.Select(element => new object[]
{
new SqliteParameter("@cache_key", element.Key),
new SqliteParameter("@model_key", element.Model),
new SqliteParameter("@embedding", SearchdomainHelper.BytesFromFloatArray(element.Embedding)),
new SqliteParameter("@index", element.Index)
})
);
}
private static async Task RemoveModelsFromIndices(
SQLiteHelper helper,
List<(int Index, string Model)> removedModels)
{
helper.BulkExecuteNonQuery(
"DELETE FROM embedding_cache WHERE idx = @index AND model_key = @model",
removedModels.Select(element => new object[]
{
new SqliteParameter("@index", element.Index),
new SqliteParameter("@model", element.Model)
})
);
}
private static (Dictionary<int, KeyValuePair<string, Dictionary<string, float[]>>> positionToEntry,
Dictionary<string, int> entryToPosition)
GetCacheMappings(EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache)
{
var positionToEntry = new Dictionary<int, KeyValuePair<string, Dictionary<string, float[]>>>();
var entryToPosition = new Dictionary<string, int>();
int position = 0;
foreach (var entry in embeddingCache)
{
positionToEntry[position] = entry;
entryToPosition[entry.Key] = position;
position++;
}
return (positionToEntry, entryToPosition);
}
}

View File

@@ -1,6 +1,6 @@
using System.Configuration;
using System.Data.Common;
using System.Text;
using System.Text.Json;
using MySql.Data.MySqlClient;
using Server.Exceptions;
using Server.Models;
@@ -20,11 +20,13 @@ public class DatabaseHelper(ILogger<DatabaseHelper> logger)
return new SQLHelper(connection, connectionString);
}
public static void DatabaseInsertEmbeddingBulk(SQLHelper helper, int id_datapoint, List<(string model, byte[] embedding)> data)
public static async Task DatabaseInsertEmbeddingBulk(SQLHelper helper, int id_datapoint, List<(string model, byte[] embedding)> data, int id_entity, int id_searchdomain)
{
Dictionary<string, object> parameters = [];
parameters["id_datapoint"] = id_datapoint;
var query = new StringBuilder("INSERT INTO embedding (id_datapoint, model, embedding) VALUES ");
parameters["id_entity"] = id_entity;
parameters["id_searchdomain"] = id_searchdomain;
var query = new StringBuilder("INSERT INTO embedding (id_datapoint, model, embedding, id_embedding, id_searchdomain) VALUES ");
foreach (var (model, embedding) in data)
{
string modelParam = $"model_{Guid.NewGuid()}".Replace("-", "");
@@ -32,24 +34,39 @@ public class DatabaseHelper(ILogger<DatabaseHelper> logger)
parameters[modelParam] = model;
parameters[embeddingParam] = embedding;
query.Append($"(@id_datapoint, @{modelParam}, @{embeddingParam}), ");
query.Append($"(@id_datapoint, @{modelParam}, @{embeddingParam}, @id_entity), ");
}
query.Length -= 2; // remove trailing comma
helper.ExecuteSQLNonQuery(query.ToString(), parameters);
await helper.ExecuteSQLNonQuery(query.ToString(), parameters);
}
public static int DatabaseInsertSearchdomain(SQLHelper helper, string name, SearchdomainSettings settings = new())
public static async Task<int> DatabaseInsertEmbeddingBulk(SQLHelper helper, List<(int id_datapoint, string model, byte[] embedding)> data, int id_entity, int id_searchdomain)
{
return await helper.BulkExecuteNonQuery(
"INSERT INTO embedding (id_datapoint, model, embedding, id_entity, id_searchdomain) VALUES (@id_datapoint, @model, @embedding, @id_entity, @id_searchdomain);",
data.Select(element => new object[] {
new MySqlParameter("@model", element.model),
new MySqlParameter("@embedding", element.embedding),
new MySqlParameter("@id_datapoint", element.id_datapoint),
new MySqlParameter("@id_entity", id_entity),
new MySqlParameter("@id_searchdomain", id_searchdomain)
})
);
}
public static async Task<int> DatabaseInsertSearchdomain(SQLHelper helper, string name, SearchdomainSettings settings = new())
{
Dictionary<string, dynamic> parameters = new()
{
{ "name", name },
{ "settings", settings}
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO searchdomain (name, settings) VALUES (@name, @settings)", parameters);
return await helper.ExecuteSQLCommandGetInsertedID("INSERT INTO searchdomain (name, settings) VALUES (@name, @settings)", parameters);
}
public static int DatabaseInsertEntity(SQLHelper helper, string name, ProbMethodEnum probmethod, int id_searchdomain)
public static async Task<int> DatabaseInsertEntity(SQLHelper helper, string name, ProbMethodEnum probmethod, int id_searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
@@ -57,21 +74,59 @@ public class DatabaseHelper(ILogger<DatabaseHelper> logger)
{ "probmethod", probmethod.ToString() },
{ "id_searchdomain", id_searchdomain }
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO entity (name, probmethod, id_searchdomain) VALUES (@name, @probmethod, @id_searchdomain)", parameters);
return await helper.ExecuteSQLCommandGetInsertedID("INSERT INTO entity (name, probmethod, id_searchdomain) VALUES (@name, @probmethod, @id_searchdomain);", parameters);
}
public static int DatabaseInsertAttribute(SQLHelper helper, string attribute, string value, int id_entity)
public static async Task<int> DatabaseInsertAttributes(SQLHelper helper, List<(string attribute, string value, int id_entity)> values) //string[] attribute, string value, int id_entity)
{
Dictionary<string, dynamic> parameters = new()
{
{ "attribute", attribute },
{ "value", value },
{ "id_entity", id_entity }
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO attribute (attribute, value, id_entity) VALUES (@attribute, @value, @id_entity)", parameters);
return await helper.BulkExecuteNonQuery(
"INSERT INTO attribute (attribute, value, id_entity) VALUES (@attribute, @value, @id_entity);",
values.Select(element => new object[] {
new MySqlParameter("@attribute", element.attribute),
new MySqlParameter("@value", element.value),
new MySqlParameter("@id_entity", element.id_entity)
})
);
}
public static int DatabaseInsertDatapoint(SQLHelper helper, string name, ProbMethodEnum probmethod_embedding, SimilarityMethodEnum similarityMethod, string hash, int id_entity)
public static async Task<int> DatabaseUpdateAttributes(SQLHelper helper, List<(string attribute, string value, int id_entity)> values)
{
return await helper.BulkExecuteNonQuery(
"UPDATE attribute SET value=@value WHERE id_entity=@id_entity AND attribute=@attribute",
values.Select(element => new object[] {
new MySqlParameter("@attribute", element.attribute),
new MySqlParameter("@value", element.value),
new MySqlParameter("@id_entity", element.id_entity)
})
);
}
public static async Task<int> DatabaseDeleteAttributes(SQLHelper helper, List<(string attribute, int id_entity)> values)
{
return await helper.BulkExecuteNonQuery(
"DELETE FROM attribute WHERE id_entity=@id_entity AND attribute=@attribute",
values.Select(element => new object[] {
new MySqlParameter("@attribute", element.attribute),
new MySqlParameter("@id_entity", element.id_entity)
})
);
}
public static async Task<int> DatabaseInsertDatapoints(SQLHelper helper, List<(string name, ProbMethodEnum probmethod_embedding, SimilarityMethodEnum similarityMethod, string hash)> values, int id_entity)
{
return await helper.BulkExecuteNonQuery(
"INSERT INTO datapoint (name, probmethod_embedding, similaritymethod, hash, id_entity) VALUES (@name, @probmethod_embedding, @similaritymethod, @hash, @id_entity);",
values.Select(element => new object[] {
new MySqlParameter("@name", element.name),
new MySqlParameter("@probmethod_embedding", element.probmethod_embedding),
new MySqlParameter("@similaritymethod", element.similarityMethod),
new MySqlParameter("@hash", element.hash),
new MySqlParameter("@id_entity", id_entity)
})
);
}
public static async Task<int> DatabaseInsertDatapoint(SQLHelper helper, string name, ProbMethodEnum probmethod_embedding, SimilarityMethodEnum similarityMethod, string hash, int id_entity)
{
Dictionary<string, dynamic> parameters = new()
{
@@ -81,111 +136,155 @@ public class DatabaseHelper(ILogger<DatabaseHelper> logger)
{ "hash", hash },
{ "id_entity", id_entity }
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO datapoint (name, probmethod_embedding, similaritymethod, hash, id_entity) VALUES (@name, @probmethod_embedding, @similaritymethod, @hash, @id_entity)", parameters);
return await helper.ExecuteSQLCommandGetInsertedID("INSERT INTO datapoint (name, probmethod_embedding, similaritymethod, hash, id_entity) VALUES (@name, @probmethod_embedding, @similaritymethod, @hash, @id_entity)", parameters);
}
public static int DatabaseInsertEmbedding(SQLHelper helper, int id_datapoint, string model, byte[] embedding)
public static async Task<(int datapoints, int embeddings)> DatabaseDeleteEmbeddingsAndDatapoints(SQLHelper helper, List<string> values, int id_entity)
{
int embeddings = await helper.BulkExecuteNonQuery(
"DELETE e FROM embedding e WHERE id_entity = @entityId",
values.Select(element => new object[] {
new MySqlParameter("@datapointName", element),
new MySqlParameter("@entityId", id_entity)
})
);
int datapoints = await helper.BulkExecuteNonQuery(
"DELETE FROM datapoint WHERE name=@datapointName AND id_entity=@entityId",
values.Select(element => new object[] {
new MySqlParameter("@datapointName", element),
new MySqlParameter("@entityId", id_entity)
})
);
return (datapoints: datapoints, embeddings: embeddings);
}
public static async Task<int> DatabaseUpdateDatapoint(SQLHelper helper, List<(string name, string probmethod_embedding, string similarityMethod)> values, int id_entity)
{
return await helper.BulkExecuteNonQuery(
"UPDATE datapoint SET probmethod_embedding=@probmethod, similaritymethod=@similaritymethod WHERE id_entity=@entityId AND name=@datapointName",
values.Select(element => new object[] {
new MySqlParameter("@probmethod", element.probmethod_embedding),
new MySqlParameter("@similaritymethod", element.similarityMethod),
new MySqlParameter("@entityId", id_entity),
new MySqlParameter("@datapointName", element.name)
})
);
}
public static async Task<int> DatabaseInsertEmbedding(SQLHelper helper, int id_datapoint, string model, byte[] embedding, int id_entity, int id_searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
{ "id_datapoint", id_datapoint },
{ "model", model },
{ "embedding", embedding }
{ "embedding", embedding },
{ "id_entity", id_entity },
{ "id_searchdomain", id_searchdomain }
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO embedding (id_datapoint, model, embedding) VALUES (@id_datapoint, @model, @embedding)", parameters);
return await helper.ExecuteSQLCommandGetInsertedID("INSERT INTO embedding (id_datapoint, model, embedding, id_entity, id_searchdomain) VALUES (@id_datapoint, @model, @embedding, @id_entity, @id_searchdomain)", parameters);
}
public int GetSearchdomainID(SQLHelper helper, string searchdomain)
public async Task<int> GetSearchdomainID(SQLHelper helper, string searchdomain)
{
Dictionary<string, dynamic> parameters = new()
Dictionary<string, object?> parameters = new()
{
{ "searchdomain", searchdomain}
};
lock (helper.connection)
{
DbDataReader reader = helper.ExecuteSQLCommand("SELECT id FROM searchdomain WHERE name = @searchdomain", parameters);
bool success = reader.Read();
int result = success ? reader.GetInt32(0) : 0;
reader.Close();
if (success)
{
return result;
}
else
{
_logger.LogError("Unable to retrieve searchdomain ID for {searchdomain}", [searchdomain]);
throw new SearchdomainNotFoundException(searchdomain);
}
}
return (await helper.ExecuteQueryAsync("SELECT id FROM searchdomain WHERE name = @searchdomain", parameters, x => x.GetInt32(0))).First();
}
public void RemoveEntity(List<Entity> entityCache, SQLHelper helper, string name, string searchdomain)
public async Task RemoveEntity(List<Entity> entityCache, SQLHelper helper, string name, string searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
{ "name", name },
{ "searchdomain", GetSearchdomainID(helper, searchdomain)}
{ "searchdomain", await GetSearchdomainID(helper, searchdomain)}
};
helper.ExecuteSQLNonQuery("DELETE embedding.* FROM embedding JOIN datapoint dp ON id_datapoint = dp.id JOIN entity ON id_entity = entity.id WHERE entity.name = @name AND entity.id_searchdomain = @searchdomain", parameters);
helper.ExecuteSQLNonQuery("DELETE datapoint.* FROM datapoint JOIN entity ON id_entity = entity.id WHERE entity.name = @name AND entity.id_searchdomain = @searchdomain", parameters);
helper.ExecuteSQLNonQuery("DELETE attribute.* FROM attribute JOIN entity ON id_entity = entity.id WHERE entity.name = @name AND entity.id_searchdomain = @searchdomain", parameters);
helper.ExecuteSQLNonQuery("DELETE FROM entity WHERE name = @name AND entity.id_searchdomain = @searchdomain", parameters);
entityCache.RemoveAll(entity => entity.name == name);
await helper.ExecuteSQLNonQuery("DELETE embedding.* FROM embedding JOIN entity ON id_entity = entity.id WHERE entity.name = @name AND entity.id_searchdomain = @searchdomain", parameters);
await helper.ExecuteSQLNonQuery("DELETE datapoint.* FROM datapoint JOIN entity ON id_entity = entity.id WHERE entity.name = @name AND entity.id_searchdomain = @searchdomain", parameters);
await helper.ExecuteSQLNonQuery("DELETE attribute.* FROM attribute JOIN entity ON id_entity = entity.id WHERE entity.name = @name AND entity.id_searchdomain = @searchdomain", parameters);
await helper.ExecuteSQLNonQuery("DELETE FROM entity WHERE name = @name AND entity.id_searchdomain = @searchdomain", parameters);
entityCache.RemoveAll(entity => entity.Name == name);
}
public int RemoveAllEntities(SQLHelper helper, string searchdomain)
public async Task<int> RemoveAllEntities(SQLHelper helper, string searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
{ "searchdomain", GetSearchdomainID(helper, searchdomain)}
{ "searchdomain", await GetSearchdomainID(helper, searchdomain)}
};
helper.ExecuteSQLNonQuery("DELETE embedding.* FROM embedding JOIN datapoint dp ON id_datapoint = dp.id JOIN entity ON id_entity = entity.id WHERE entity.id_searchdomain = @searchdomain", parameters);
helper.ExecuteSQLNonQuery("DELETE datapoint.* FROM datapoint JOIN entity ON id_entity = entity.id WHERE entity.id_searchdomain = @searchdomain", parameters);
helper.ExecuteSQLNonQuery("DELETE attribute.* FROM attribute JOIN entity ON id_entity = entity.id WHERE entity.id_searchdomain = @searchdomain", parameters);
return helper.ExecuteSQLNonQuery("DELETE FROM entity WHERE entity.id_searchdomain = @searchdomain", parameters);
int count;
do
{
count = await helper.ExecuteSQLNonQuery("DELETE FROM embedding WHERE id_searchdomain = @searchdomain LIMIT 10000", parameters);
} while (count == 10000);
do
{
count = await helper.ExecuteSQLNonQuery("DELETE FROM datapoint WHERE id_entity IN (SELECT id FROM entity WHERE id_searchdomain = @searchdomain) LIMIT 10000", parameters);
} while (count == 10000);
do
{
count = await helper.ExecuteSQLNonQuery("DELETE FROM attribute WHERE id_entity IN (SELECT id FROM entity WHERE id_searchdomain = @searchdomain) LIMIT 10000", parameters);
} while (count == 10000);
int total = 0;
do
{
count = await helper.ExecuteSQLNonQuery("DELETE FROM entity WHERE id_searchdomain = @searchdomain LIMIT 10000", parameters);
total += count;
} while (count == 10000);
return total;
}
public bool HasEntity(SQLHelper helper, string name, string searchdomain)
public async Task<bool> HasEntity(SQLHelper helper, string name, string searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
{ "name", name },
{ "searchdomain", GetSearchdomainID(helper, searchdomain)}
{ "searchdomain", await GetSearchdomainID(helper, searchdomain)}
};
lock (helper.connection)
lock (helper.Connection)
{
DbDataReader reader = helper.ExecuteSQLCommand("SELECT COUNT(*) FROM entity WHERE name = @name AND id_searchdomain = @searchdomain", parameters);
bool success = reader.Read();
bool result = success && reader.GetInt32(0) > 0;
reader.Close();
if (success)
try
{
return result;
}
else
bool success = reader.Read();
bool result = success && reader.GetInt32(0) > 0;
if (success)
{
return result;
}
else
{
_logger.LogError("Unable to determine whether an entity named {name} exists for {searchdomain}", [name, searchdomain]);
throw new Exception($"Unable to determine whether an entity named {name} exists for {searchdomain}");
}
} finally
{
_logger.LogError("Unable to determine whether an entity named {name} exists for {searchdomain}", [name, searchdomain]);
throw new Exception($"Unable to determine whether an entity named {name} exists for {searchdomain}");
reader.Close();
}
}
}
public int? GetEntityID(SQLHelper helper, string name, string searchdomain)
public async Task<int?> GetEntityID(SQLHelper helper, string name, string searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
{ "name", name },
{ "searchdomain", GetSearchdomainID(helper, searchdomain)}
{ "searchdomain", await GetSearchdomainID(helper, searchdomain)}
};
lock (helper.connection)
lock (helper.Connection)
{
DbDataReader reader = helper.ExecuteSQLCommand("SELECT id FROM entity WHERE name = @name AND id_searchdomain = @searchdomain", parameters);
bool success = reader.Read();
int? result = success ? reader.GetInt32(0) : 0;
reader.Close();
return result;
try
{
bool success = reader.Read();
int? result = success ? reader.GetInt32(0) : 0;
return result;
} finally
{
reader.Close();
}
}
}
@@ -196,40 +295,87 @@ public class DatabaseHelper(ILogger<DatabaseHelper> logger)
{ "searchdomain", searchdomain}
};
DbDataReader searchdomainSumReader = helper.ExecuteSQLCommand("SELECT SUM(LENGTH(id) + LENGTH(name) + LENGTH(settings)) AS total_bytes FROM embeddingsearch.searchdomain WHERE name=@searchdomain", parameters);
bool success = searchdomainSumReader.Read();
long result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
searchdomainSumReader.Close();
bool success;
long result;
try
{
success = searchdomainSumReader.Read();
result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
} finally
{
searchdomainSumReader.Close();
}
DbDataReader entitySumReader = helper.ExecuteSQLCommand("SELECT SUM(LENGTH(e.id) + LENGTH(e.name) + LENGTH(e.probmethod) + LENGTH(e.id_searchdomain)) AS total_bytes FROM embeddingsearch.entity e JOIN embeddingsearch.searchdomain s ON e.id_searchdomain = s.id WHERE s.name=@searchdomain", parameters);
success = entitySumReader.Read();
result += success && !entitySumReader.IsDBNull(0) ? entitySumReader.GetInt64(0) : 0;
entitySumReader.Close();
try
{
success = entitySumReader.Read();
result += success && !entitySumReader.IsDBNull(0) ? entitySumReader.GetInt64(0) : 0;
} finally
{
entitySumReader.Close();
}
DbDataReader datapointSumReader = helper.ExecuteSQLCommand("SELECT SUM(LENGTH(d.id) + LENGTH(d.name) + LENGTH(d.probmethod_embedding) + LENGTH(d.similaritymethod) + LENGTH(d.id_entity) + LENGTH(d.hash)) AS total_bytes FROM embeddingsearch.datapoint d JOIN embeddingsearch.entity e ON d.id_entity = e.id JOIN embeddingsearch.searchdomain s ON e.id_searchdomain = s.id WHERE s.name=@searchdomain", parameters);
success = datapointSumReader.Read();
result += success && !datapointSumReader.IsDBNull(0) ? datapointSumReader.GetInt64(0) : 0;
datapointSumReader.Close();
try
{
success = datapointSumReader.Read();
result += success && !datapointSumReader.IsDBNull(0) ? datapointSumReader.GetInt64(0) : 0;
} finally
{
datapointSumReader.Close();
}
DbDataReader embeddingSumReader = helper.ExecuteSQLCommand("SELECT SUM(LENGTH(em.id) + LENGTH(em.id_datapoint) + LENGTH(em.model) + LENGTH(em.embedding)) AS total_bytes FROM embeddingsearch.embedding em JOIN embeddingsearch.datapoint d ON em.id_datapoint = d.id JOIN embeddingsearch.entity e ON d.id_entity = e.id JOIN embeddingsearch.searchdomain s ON e.id_searchdomain = s.id WHERE s.name=@searchdomain", parameters);
success = embeddingSumReader.Read();
result += success && !embeddingSumReader.IsDBNull(0) ? embeddingSumReader.GetInt64(0) : 0;
embeddingSumReader.Close();
try
{
success = embeddingSumReader.Read();
result += success && !embeddingSumReader.IsDBNull(0) ? embeddingSumReader.GetInt64(0) : 0;
} finally
{
embeddingSumReader.Close();
}
DbDataReader attributeSumReader = helper.ExecuteSQLCommand("SELECT SUM(LENGTH(a.id) + LENGTH(a.id_entity) + LENGTH(a.attribute) + LENGTH(a.value)) AS total_bytes FROM embeddingsearch.attribute a JOIN embeddingsearch.entity e ON a.id_entity = e.id JOIN embeddingsearch.searchdomain s ON e.id_searchdomain = s.id WHERE s.name=@searchdomain", parameters);
success = attributeSumReader.Read();
result += success && !attributeSumReader.IsDBNull(0) ? attributeSumReader.GetInt64(0) : 0;
attributeSumReader.Close();
try
{
success = attributeSumReader.Read();
result += success && !attributeSumReader.IsDBNull(0) ? attributeSumReader.GetInt64(0) : 0;
} finally
{
attributeSumReader.Close();
}
return result;
}
public static long GetTotalDatabaseSize(SQLHelper helper)
{
Dictionary<string, dynamic> parameters = [];
DbDataReader searchdomainSumReader = helper.ExecuteSQLCommand("SELECT SUM(Data_length) FROM information_schema.tables", parameters);
try
{
bool success = searchdomainSumReader.Read();
long result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
return result;
} finally
{
searchdomainSumReader.Close();
}
}
public static async Task<long> CountEntities(SQLHelper helper)
{
DbDataReader searchdomainSumReader = helper.ExecuteSQLCommand("SELECT COUNT(*) FROM entity;", []);
bool success = searchdomainSumReader.Read();
long result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
searchdomainSumReader.Close();
return result;
try
{
bool success = searchdomainSumReader.Read();
long result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
return result;
} finally
{
searchdomainSumReader.Close();
}
}
public static long CountEntitiesForSearchdomain(SQLHelper helper, string searchdomain)
@@ -239,9 +385,32 @@ public class DatabaseHelper(ILogger<DatabaseHelper> logger)
{ "searchdomain", searchdomain}
};
DbDataReader searchdomainSumReader = helper.ExecuteSQLCommand("SELECT COUNT(*) FROM entity e JOIN searchdomain s on e.id_searchdomain = s.id WHERE e.id_searchdomain = s.id AND s.name = @searchdomain;", parameters);
bool success = searchdomainSumReader.Read();
long result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
searchdomainSumReader.Close();
return result;
try
{
bool success = searchdomainSumReader.Read();
long result = success && !searchdomainSumReader.IsDBNull(0) ? searchdomainSumReader.GetInt64(0) : 0;
return result;
} finally
{
searchdomainSumReader.Close();
}
}
public static SearchdomainSettings GetSearchdomainSettings(SQLHelper helper, string searchdomain)
{
Dictionary<string, dynamic> parameters = new()
{
["name"] = searchdomain
};
DbDataReader reader = helper.ExecuteSQLCommand("SELECT settings from searchdomain WHERE name = @name", parameters);
try
{
reader.Read();
string settingsString = reader.GetString(0);
return JsonSerializer.Deserialize<SearchdomainSettings>(settingsString);
} finally
{
reader.Close();
}
}
}

View File

@@ -1,3 +1,4 @@
using System.Data;
using System.Data.Common;
using MySql.Data.MySqlClient;
@@ -5,46 +6,86 @@ namespace Server.Helper;
public class SQLHelper:IDisposable
{
public MySqlConnection connection;
public string connectionString;
public MySqlConnection Connection;
public DbDataReader? DbDataReader;
public MySqlConnectionPoolElement[] ConnectionPool;
public string ConnectionString;
public SQLHelper(MySqlConnection connection, string connectionString)
{
this.connection = connection;
this.connectionString = connectionString;
Connection = connection;
ConnectionString = connectionString;
ConnectionPool = new MySqlConnectionPoolElement[50];
for (int i = 0; i < ConnectionPool.Length; i++)
{
ConnectionPool[i] = new MySqlConnectionPoolElement(new MySqlConnection(connectionString), new(1, 1));
}
}
public SQLHelper DuplicateConnection()
public SQLHelper DuplicateConnection() // TODO remove this
{
MySqlConnection newConnection = new(connectionString);
return new SQLHelper(newConnection, connectionString);
return this;
}
public void Dispose()
{
connection.Close();
Connection.Close();
GC.SuppressFinalize(this);
}
public DbDataReader ExecuteSQLCommand(string query, Dictionary<string, dynamic> parameters)
{
lock (connection)
lock (Connection)
{
EnsureConnected();
using MySqlCommand command = connection.CreateCommand();
EnsureDbReaderIsClosed();
using MySqlCommand command = Connection.CreateCommand();
command.CommandText = query;
foreach (KeyValuePair<string, dynamic> parameter in parameters)
{
command.Parameters.AddWithValue($"@{parameter.Key}", parameter.Value);
}
return command.ExecuteReader();
DbDataReader = command.ExecuteReader();
return DbDataReader;
}
}
public int ExecuteSQLNonQuery(string query, Dictionary<string, dynamic> parameters)
public async Task<List<T>> ExecuteQueryAsync<T>(
string sql,
Dictionary<string, object?> parameters,
Func<DbDataReader, T> map)
{
lock (connection)
var poolElement = await GetMySqlConnectionPoolElement();
var connection = poolElement.Connection;
try
{
await using var command = connection.CreateCommand();
command.CommandText = sql;
foreach (var p in parameters)
command.Parameters.AddWithValue($"@{p.Key}", p.Value);
await using var reader = await command.ExecuteReaderAsync();
var result = new List<T>();
while (await reader.ReadAsync())
{
result.Add(map(reader));
}
return result;
} finally
{
poolElement.Semaphore.Release();
}
}
public async Task<int> ExecuteSQLNonQuery(string query, Dictionary<string, dynamic> parameters)
{
var poolElement = await GetMySqlConnectionPoolElement();
var connection = poolElement.Connection;
try
{
EnsureConnected();
using MySqlCommand command = connection.CreateCommand();
command.CommandText = query;
@@ -53,14 +94,18 @@ public class SQLHelper:IDisposable
command.Parameters.AddWithValue($"@{parameter.Key}", parameter.Value);
}
return command.ExecuteNonQuery();
} finally
{
poolElement.Semaphore.Release();
}
}
public int ExecuteSQLCommandGetInsertedID(string query, Dictionary<string, dynamic> parameters)
public async Task<int> ExecuteSQLCommandGetInsertedID(string query, Dictionary<string, dynamic> parameters)
{
lock (connection)
var poolElement = await GetMySqlConnectionPoolElement();
var connection = poolElement.Connection;
try
{
EnsureConnected();
using MySqlCommand command = connection.CreateCommand();
command.CommandText = query;
@@ -71,23 +116,126 @@ public class SQLHelper:IDisposable
command.ExecuteNonQuery();
command.CommandText = "SELECT LAST_INSERT_ID();";
return Convert.ToInt32(command.ExecuteScalar());
} finally
{
poolElement.Semaphore.Release();
}
}
public async Task<int> BulkExecuteNonQuery(string sql, IEnumerable<object[]> parameterSets)
{
var poolElement = await GetMySqlConnectionPoolElement();
var connection = poolElement.Connection;
try
{
int affectedRows = 0;
int retries = 0;
while (retries <= 3)
{
try
{
using var transaction = connection.BeginTransaction();
using var command = connection.CreateCommand();
command.CommandText = sql;
command.Transaction = transaction;
foreach (var parameters in parameterSets)
{
command.Parameters.Clear();
command.Parameters.AddRange(parameters);
affectedRows += command.ExecuteNonQuery();
}
transaction.Commit();
break;
}
catch (Exception)
{
retries++;
if (retries > 3)
throw;
Thread.Sleep(10);
}
}
return affectedRows;
} finally
{
poolElement.Semaphore.Release();
}
}
public async Task<MySqlConnectionPoolElement> GetMySqlConnectionPoolElement()
{
int counter = 0;
int sleepTime = 10;
do
{
foreach (var element in ConnectionPool)
{
if (element.Semaphore.Wait(0))
{
if (element.Connection.State == ConnectionState.Closed)
{
await element.Connection.CloseAsync();
await element.Connection.OpenAsync();
}
return element;
}
}
Thread.Sleep(sleepTime);
} while (++counter <= 50);
TimeoutException ex = new("Unable to get MySqlConnection");
ElmahCore.ElmahExtensions.RaiseError(ex);
throw ex;
}
public bool EnsureConnected()
{
if (connection.State != System.Data.ConnectionState.Open)
if (Connection.State != System.Data.ConnectionState.Open)
{
try
{
connection.Close();
connection.Open();
Connection.Close();
Connection.Open();
}
catch (Exception)
catch (Exception ex)
{
throw; // TODO add logging here
ElmahCore.ElmahExtensions.RaiseError(ex);
throw;
}
}
return true;
}
public void EnsureDbReaderIsClosed()
{
int counter = 0;
int sleepTime = 10;
int timeout = 5000;
while (!(DbDataReader?.IsClosed ?? true))
{
if (counter > timeout / sleepTime)
{
TimeoutException ex = new("Unable to ensure dbDataReader is closed");
ElmahCore.ElmahExtensions.RaiseError(ex);
throw ex;
}
Thread.Sleep(sleepTime);
}
}
}
public struct MySqlConnectionPoolElement
{
public MySqlConnection Connection;
public SemaphoreSlim Semaphore;
public MySqlConnectionPoolElement(MySqlConnection connection, SemaphoreSlim semaphore)
{
Connection = connection;
Semaphore = semaphore;
}
}

View File

@@ -0,0 +1,76 @@
using System.Data;
using System.Data.Common;
using Microsoft.Data.Sqlite;
using Server.Models;
using MySql.Data.MySqlClient;
using System.Configuration;
namespace Server.Helper;
public class SQLiteHelper : SqlHelper, IDisposable
{
public SQLiteHelper(DbConnection connection, string connectionString) : base(connection, connectionString)
{
Connection = connection;
ConnectionString = connectionString;
}
public SQLiteHelper(EmbeddingSearchOptions options) : base(new SqliteConnection(options.ConnectionStrings.Cache), options.ConnectionStrings.Cache ?? "")
{
if (options.ConnectionStrings.Cache is null)
{
throw new ConfigurationErrorsException("Cache options must not be null when instantiating SQLiteHelper");
}
ConnectionString = options.ConnectionStrings.Cache;
Connection = new SqliteConnection(ConnectionString);
}
public override SQLiteHelper DuplicateConnection()
{
SqliteConnection newConnection = new(ConnectionString);
return new SQLiteHelper(newConnection, ConnectionString);
}
public override int ExecuteSQLCommandGetInsertedID(string query, object[] parameters)
{
lock (Connection)
{
EnsureConnected();
EnsureDbReaderIsClosed();
using DbCommand command = Connection.CreateCommand();
command.CommandText = query;
command.Parameters.AddRange(parameters);
command.ExecuteNonQuery();
command.CommandText = "SELECT last_insert_rowid();";
return Convert.ToInt32(command.ExecuteScalar());
}
}
public int BulkExecuteNonQuery(string sql, IEnumerable<object[]> parameterSets)
{
lock (Connection)
{
EnsureConnected();
EnsureDbReaderIsClosed();
using var transaction = Connection.BeginTransaction();
using var command = Connection.CreateCommand();
command.CommandText = sql;
command.Transaction = transaction;
int affectedRows = 0;
foreach (var parameters in parameterSets)
{
command.Parameters.Clear();
command.Parameters.AddRange(parameters);
affectedRows += command.ExecuteNonQuery();
}
transaction.Commit();
return affectedRows;
}
}
}

View File

@@ -1,9 +1,11 @@
using System.Collections.Concurrent;
using System.Diagnostics;
using System.Security.Cryptography;
using System.Text;
using System.Text.Json;
using AdaptiveExpressions;
using Server.Exceptions;
using Shared;
using Shared.Models;
namespace Server.Helper;
@@ -15,7 +17,7 @@ public class SearchdomainHelper(ILogger<SearchdomainHelper> logger, DatabaseHelp
public static byte[] BytesFromFloatArray(float[] floats)
{
var byteArray = new byte[floats.Length * 4];
var byteArray = new byte[floats.Length * sizeof(float)];
var floatArray = floats.ToArray();
Buffer.BlockCopy(floatArray, 0, byteArray, 0, byteArray.Length);
return byteArray;
@@ -23,21 +25,21 @@ public class SearchdomainHelper(ILogger<SearchdomainHelper> logger, DatabaseHelp
public static float[] FloatArrayFromBytes(byte[] bytes)
{
var floatArray = new float[bytes.Length / 4];
var floatArray = new float[bytes.Length / sizeof(float)];
Buffer.BlockCopy(bytes, 0, floatArray, 0, bytes.Length);
return floatArray;
}
public static bool CacheHasEntity(List<Entity> entityCache, string name)
public static bool CacheHasEntity(ConcurrentDictionary<string, Entity> entityCache, string name)
{
return CacheGetEntity(entityCache, name) is not null;
}
public static Entity? CacheGetEntity(List<Entity> entityCache, string name)
public static Entity? CacheGetEntity(ConcurrentDictionary<string, Entity> entityCache, string name)
{
foreach (Entity entity in entityCache)
foreach ((string _, Entity entity) in entityCache)
{
if (entity.name == name)
if (entity.Name == name)
{
return entity;
}
@@ -45,11 +47,11 @@ public class SearchdomainHelper(ILogger<SearchdomainHelper> logger, DatabaseHelp
return null;
}
public List<Entity>? EntitiesFromJSON(SearchdomainManager searchdomainManager, ILogger logger, string json)
public async Task<List<Entity>?> EntitiesFromJSON(SearchdomainManager searchdomainManager, ILogger logger, string json)
{
LRUCache<string, Dictionary<string, float[]>> embeddingCache = searchdomainManager.embeddingCache;
AIProvider aIProvider = searchdomainManager.aIProvider;
SQLHelper helper = searchdomainManager.helper;
EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache = searchdomainManager.EmbeddingCache;
AIProvider aIProvider = searchdomainManager.AiProvider;
SQLHelper helper = searchdomainManager.Helper;
List<JSONEntity>? jsonEntities = JsonSerializer.Deserialize<List<JSONEntity>>(json);
if (jsonEntities is null)
@@ -57,230 +59,418 @@ public class SearchdomainHelper(ILogger<SearchdomainHelper> logger, DatabaseHelp
return null;
}
// toBeCached: model -> [datapoint.text * n]
// Prefetch embeddings
Dictionary<string, List<string>> toBeCached = [];
Dictionary<string, List<string>> toBeCachedParallel = [];
foreach (JSONEntity jSONEntity in jsonEntities)
{
Dictionary<string, List<string>> targetDictionary = toBeCached;
if (searchdomainManager.GetSearchdomain(jSONEntity.Searchdomain).Settings.ParallelEmbeddingsPrefetch)
{
targetDictionary = toBeCachedParallel;
}
foreach (JSONDatapoint datapoint in jSONEntity.Datapoints)
{
foreach (string model in datapoint.Model)
{
if (!toBeCached.ContainsKey(model))
if (!targetDictionary.ContainsKey(model))
{
toBeCached[model] = [];
targetDictionary[model] = [];
}
toBeCached[model].Add(datapoint.Text);
targetDictionary[model].Add(datapoint.Text);
}
}
}
foreach (var toBeCachedKV in toBeCached)
{
string model = toBeCachedKV.Key;
List<string> uniqueStrings = [.. toBeCachedKV.Value.Distinct()];
Datapoint.GetEmbeddings([.. uniqueStrings], [model], aIProvider, embeddingCache);
}
Parallel.ForEach(toBeCachedParallel, toBeCachedParallelKV =>
{
string model = toBeCachedParallelKV.Key;
List<string> uniqueStrings = [.. toBeCachedParallelKV.Value.Distinct()];
Datapoint.GetEmbeddings([.. uniqueStrings], [model], aIProvider, embeddingCache);
});
// Index/parse the entities
ConcurrentQueue<Entity> retVal = [];
ParallelOptions parallelOptions = new() { MaxDegreeOfParallelism = 16 }; // <-- This is needed! Otherwise if we try to index 100+ entities at once, it spawns 100 threads, exploding the SQL pool
Parallel.ForEach(jsonEntities, parallelOptions, jSONEntity =>
List<Task> entityTasks = [];
foreach (JSONEntity jSONEntity in jsonEntities)
{
var entity = EntityFromJSON(searchdomainManager, logger, jSONEntity);
if (entity is not null)
entityTasks.Add(Task.Run(async () =>
{
retVal.Enqueue(entity);
var entity = await EntityFromJSON(searchdomainManager, logger, jSONEntity);
if (entity is not null)
{
retVal.Enqueue(entity);
}
}));
if (entityTasks.Count >= parallelOptions.MaxDegreeOfParallelism)
{
await Task.WhenAny(entityTasks);
entityTasks.RemoveAll(t => t.IsCompleted);
}
});
}
await Task.WhenAll(entityTasks);
return [.. retVal];
}
public Entity? EntityFromJSON(SearchdomainManager searchdomainManager, ILogger logger, JSONEntity jsonEntity) //string json)
public async Task<Entity?> EntityFromJSON(SearchdomainManager searchdomainManager, ILogger logger, JSONEntity jsonEntity)
{
SQLHelper helper = searchdomainManager.helper.DuplicateConnection();
var stopwatch = Stopwatch.StartNew();
SQLHelper helper = searchdomainManager.Helper;
Searchdomain searchdomain = searchdomainManager.GetSearchdomain(jsonEntity.Searchdomain);
List<Entity> entityCache = searchdomain.entityCache;
AIProvider aIProvider = searchdomain.aIProvider;
LRUCache<string, Dictionary<string, float[]>> embeddingCache = searchdomain.embeddingCache;
Entity? preexistingEntity = entityCache.FirstOrDefault(entity => entity.name == jsonEntity.Name);
int id_searchdomain = searchdomain.Id;
ConcurrentDictionary<string, Entity> entityCache = searchdomain.EntityCache;
AIProvider aIProvider = searchdomain.AiProvider;
EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache = searchdomain.EmbeddingCache;
bool invalidateSearchCache = false;
if (preexistingEntity is not null)
bool hasEntity = entityCache.TryGetValue(jsonEntity.Name, out Entity? preexistingEntity);
if (hasEntity && preexistingEntity is not null)
{
int? preexistingEntityID = _databaseHelper.GetEntityID(helper, jsonEntity.Name, jsonEntity.Searchdomain);
if (preexistingEntityID is null)
{
_logger.LogCritical("Unable to index entity {jsonEntity.Name} because it already exists in the searchdomain but not in the database.", [jsonEntity.Name]);
throw new Exception($"Unable to index entity {jsonEntity.Name} because it already exists in the searchdomain but not in the database.");
}
int preexistingEntityID = preexistingEntity.Id;
Dictionary<string, string> attributes = jsonEntity.Attributes;
// Attribute
foreach (KeyValuePair<string, string> attributesKV in preexistingEntity.attributes.ToList())
// Attribute - get changes
List<(string attribute, string newValue, int entityId)> updatedAttributes = new(preexistingEntity.Attributes.Count);
List<(string attribute, int entityId)> deletedAttributes = new(preexistingEntity.Attributes.Count);
List<(string attributeKey, string attribute, int entityId)> addedAttributes = new(jsonEntity.Attributes.Count);
foreach (KeyValuePair<string, string> attributesKV in preexistingEntity.Attributes) //.ToList())
{
string oldAttributeKey = attributesKV.Key;
string oldAttribute = attributesKV.Value;
bool newHasAttribute = jsonEntity.Attributes.TryGetValue(oldAttributeKey, out string? newAttribute);
if (newHasAttribute && newAttribute is not null && newAttribute != oldAttribute)
{
// Attribute - Updated
Dictionary<string, dynamic> parameters = new()
{
{ "newValue", newAttribute },
{ "entityId", preexistingEntityID },
{ "attribute", oldAttributeKey}
};
helper.ExecuteSQLNonQuery("UPDATE attribute SET value=@newValue WHERE id_entity=@entityId AND attribute=@attribute", parameters);
preexistingEntity.attributes[oldAttributeKey] = newAttribute;
updatedAttributes.Add((attribute: oldAttributeKey, newValue: newAttribute, entityId: (int)preexistingEntityID));
} else if (!newHasAttribute)
{
// Attribute - Deleted
Dictionary<string, dynamic> parameters = new()
{
{ "entityId", preexistingEntityID },
{ "attribute", oldAttributeKey}
};
helper.ExecuteSQLNonQuery("DELETE FROM attribute WHERE id_entity=@entityId AND attribute=@attribute", parameters);
preexistingEntity.attributes.Remove(oldAttributeKey);
deletedAttributes.Add((attribute: oldAttributeKey, entityId: (int)preexistingEntityID));
}
}
foreach (var attributesKV in jsonEntity.Attributes)
{
string newAttributeKey = attributesKV.Key;
string newAttribute = attributesKV.Value;
bool preexistingHasAttribute = preexistingEntity.attributes.TryGetValue(newAttributeKey, out string? preexistingAttribute);
bool preexistingHasAttribute = preexistingEntity.Attributes.TryGetValue(newAttributeKey, out string? preexistingAttribute);
if (!preexistingHasAttribute)
{
// Attribute - New
DatabaseHelper.DatabaseInsertAttribute(helper, newAttributeKey, newAttribute, (int)preexistingEntityID);
preexistingEntity.attributes.Add(newAttributeKey, newAttribute);
addedAttributes.Add((attributeKey: newAttributeKey, attribute: newAttribute, entityId: (int)preexistingEntityID));
}
}
// Datapoint
foreach (Datapoint datapoint_ in preexistingEntity.datapoints.ToList())
if (updatedAttributes.Count != 0 || deletedAttributes.Count != 0 || addedAttributes.Count != 0)
_logger.LogDebug("EntityFromJSON - Updating existing entity. name: {name}, updatedAttributes: {updatedAttributes}, deletedAttributes: {deletedAttributes}, addedAttributes: {addedAttributes}", [preexistingEntity.Name, updatedAttributes.Count, deletedAttributes.Count, addedAttributes.Count]);
// Attribute - apply changes
if (updatedAttributes.Count != 0)
{
// Update
await DatabaseHelper.DatabaseUpdateAttributes(helper, updatedAttributes);
lock (preexistingEntity.Attributes)
{
updatedAttributes.ForEach(attribute => preexistingEntity.Attributes[attribute.attribute] = attribute.newValue);
}
}
if (deletedAttributes.Count != 0)
{
// Delete
await DatabaseHelper.DatabaseDeleteAttributes(helper, deletedAttributes);
lock (preexistingEntity.Attributes)
{
deletedAttributes.ForEach(attribute => preexistingEntity.Attributes.Remove(attribute.attribute));
}
}
if (addedAttributes.Count != 0)
{
// Insert
await DatabaseHelper.DatabaseInsertAttributes(helper, addedAttributes);
lock (preexistingEntity.Attributes)
{
addedAttributes.ForEach(attribute => preexistingEntity.Attributes.Add(attribute.attributeKey, attribute.attribute));
}
}
// Datapoint - get changes
List<Datapoint> deletedDatapointInstances = new(preexistingEntity.Datapoints.Count);
List<string> deletedDatapoints = new(preexistingEntity.Datapoints.Count);
List<(string datapointName, int entityId, JSONDatapoint jsonDatapoint, string hash)> updatedDatapointsText = new(preexistingEntity.Datapoints.Count);
List<(string datapointName, string probMethod, string similarityMethod, int entityId, JSONDatapoint jsonDatapoint)> updatedDatapointsNonText = new(preexistingEntity.Datapoints.Count);
List<Datapoint> createdDatapointInstances = [];
List<(string name, ProbMethodEnum probmethod_embedding, SimilarityMethodEnum similarityMethod, string hash, Dictionary<string, float[]> embeddings, JSONDatapoint datapoint)> createdDatapoints = new(jsonEntity.Datapoints.Length);
foreach (Datapoint datapoint_ in preexistingEntity.Datapoints.ToList())
{
Datapoint datapoint = datapoint_; // To enable replacing the datapoint reference as foreach iterators cannot be overwritten
bool newEntityHasDatapoint = jsonEntity.Datapoints.Any(x => x.Name == datapoint.name);
JSONDatapoint? newEntityDatapoint = jsonEntity.Datapoints.FirstOrDefault(x => x.Name == datapoint.Name);
bool newEntityHasDatapoint = newEntityDatapoint is not null;
if (!newEntityHasDatapoint)
{
// Datapoint - Deleted
Dictionary<string, dynamic> parameters = new()
{
{ "datapointName", datapoint.name },
{ "entityId", preexistingEntityID}
};
helper.ExecuteSQLNonQuery("DELETE e FROM embedding e JOIN datapoint d ON e.id_datapoint=d.id WHERE d.name=@datapointName AND d.id_entity=@entityId", parameters);
helper.ExecuteSQLNonQuery("DELETE FROM datapoint WHERE id_entity=@entityId AND name=@datapointName", parameters);
preexistingEntity.datapoints.Remove(datapoint);
deletedDatapointInstances.Add(datapoint);
deletedDatapoints.Add(datapoint.Name);
invalidateSearchCache = true;
} else
{
JSONDatapoint? newEntityDatapoint = jsonEntity.Datapoints.FirstOrDefault(x => x.Name == datapoint.name);
if (newEntityDatapoint is not null && newEntityDatapoint.Text is not null)
string? hash = newEntityDatapoint?.Text is not null ? GetHash(newEntityDatapoint) : null;
if (
newEntityDatapoint is not null
&& newEntityDatapoint.Text is not null
&& hash is not null
&& hash != datapoint.Hash)
{
// Datapoint - Updated (text)
Dictionary<string, dynamic> parameters = new()
updatedDatapointsText.Add(new()
{
{ "datapointName", datapoint.name },
{ "entityId", preexistingEntityID}
};
helper.ExecuteSQLNonQuery("DELETE e FROM embedding e JOIN datapoint d ON e.id_datapoint=d.id WHERE d.name=@datapointName AND d.id_entity=@entityId", parameters);
helper.ExecuteSQLNonQuery("DELETE FROM datapoint WHERE id_entity=@entityId AND name=@datapointName", parameters);
preexistingEntity.datapoints.Remove(datapoint);
Datapoint newDatapoint = DatabaseInsertDatapointWithEmbeddings(helper, searchdomain, newEntityDatapoint, (int)preexistingEntityID);
preexistingEntity.datapoints.Add(newDatapoint);
datapoint = newDatapoint;
datapointName = newEntityDatapoint.Name,
entityId = (int)preexistingEntityID,
jsonDatapoint = newEntityDatapoint,
hash = hash
});
invalidateSearchCache = true;
}
if (newEntityDatapoint is not null && (newEntityDatapoint.Probmethod_embedding != datapoint.probMethod.probMethodEnum || newEntityDatapoint.SimilarityMethod != datapoint.similarityMethod.similarityMethodEnum))
if (
newEntityDatapoint is not null
&& (newEntityDatapoint.Probmethod_embedding != datapoint.ProbMethod.ProbMethodEnum
|| newEntityDatapoint.SimilarityMethod != datapoint.SimilarityMethod.SimilarityMethodEnum))
{
// Datapoint - Updated (probmethod or similaritymethod)
Dictionary<string, dynamic> parameters = new()
updatedDatapointsNonText.Add(new()
{
{ "probmethod", newEntityDatapoint.Probmethod_embedding.ToString() },
{ "similaritymethod", newEntityDatapoint.SimilarityMethod.ToString() },
{ "datapointName", datapoint.name },
{ "entityId", preexistingEntityID}
};
helper.ExecuteSQLNonQuery("UPDATE datapoint SET probmethod_embedding=@probmethod, similaritymethod=@similaritymethod WHERE id_entity=@entityId AND name=@datapointName", parameters);
Datapoint preexistingDatapoint = preexistingEntity.datapoints.First(x => x == datapoint); // The for loop is a copy. This retrieves the original such that it can be updated.
preexistingDatapoint.probMethod = new(newEntityDatapoint.Probmethod_embedding, _logger);
preexistingDatapoint.similarityMethod = new(newEntityDatapoint.SimilarityMethod, _logger);
datapointName = newEntityDatapoint.Name,
entityId = (int)preexistingEntityID,
probMethod = newEntityDatapoint.Probmethod_embedding.ToString(),
similarityMethod = newEntityDatapoint.SimilarityMethod.ToString(),
jsonDatapoint = newEntityDatapoint
});
invalidateSearchCache = true;
}
}
}
foreach (JSONDatapoint jsonDatapoint in jsonEntity.Datapoints)
{
bool oldEntityHasDatapoint = preexistingEntity.datapoints.Any(x => x.name == jsonDatapoint.Name);
bool oldEntityHasDatapoint = preexistingEntity.Datapoints.Any(x => x.Name == jsonDatapoint.Name);
if (!oldEntityHasDatapoint)
{
// Datapoint - New
Datapoint datapoint = DatabaseInsertDatapointWithEmbeddings(helper, searchdomain, jsonDatapoint, (int)preexistingEntityID);
preexistingEntity.datapoints.Add(datapoint);
createdDatapoints.Add(new()
{
name = jsonDatapoint.Name,
probmethod_embedding = jsonDatapoint.Probmethod_embedding,
similarityMethod = jsonDatapoint.SimilarityMethod,
hash = GetHash(jsonDatapoint),
embeddings = Datapoint.GetEmbeddings(
jsonDatapoint.Text ?? throw new Exception("jsonDatapoint.Text must not be null when retrieving embeddings"),
[.. jsonDatapoint.Model],
aIProvider,
embeddingCache
),
datapoint = jsonDatapoint
});
invalidateSearchCache = true;
}
}
if (deletedDatapointInstances.Count != 0 || createdDatapoints.Count != 0 || addedAttributes.Count != 0 || updatedDatapointsNonText.Count != 0)
_logger.LogDebug(
"EntityFromJSON - Updating existing entity. name: {name}, deletedDatapointInstances: {deletedDatapointInstances}, createdDatapoints: {createdDatapoints}, addedAttributes: {addedAttributes}, updatedDatapointsNonText: {updatedDatapointsNonText}",
[preexistingEntity.Name, deletedDatapointInstances.Count, createdDatapoints.Count, addedAttributes.Count, updatedDatapointsNonText.Count]);
// Datapoint - apply changes
// Deleted
if (deletedDatapointInstances.Count != 0)
{
await DatabaseHelper.DatabaseDeleteEmbeddingsAndDatapoints(helper, deletedDatapoints, (int)preexistingEntityID);
preexistingEntity.Datapoints = [.. preexistingEntity.Datapoints
.Where(x =>
!deletedDatapointInstances.Contains(x)
)
];
}
// Created
if (createdDatapoints.Count != 0)
{
List<Datapoint> datapoint = await DatabaseInsertDatapointsWithEmbeddings(helper, searchdomain, [.. createdDatapoints.Select(element => (element.datapoint, element.hash))], (int)preexistingEntityID, id_searchdomain);
datapoint.ForEach(x => preexistingEntity.Datapoints.Add(x));
}
// Datapoint - Updated (text)
if (updatedDatapointsText.Count != 0)
{
await DatabaseHelper.DatabaseDeleteEmbeddingsAndDatapoints(helper, [.. updatedDatapointsText.Select(datapoint => datapoint.datapointName)], (int)preexistingEntityID);
// Remove from datapoints
var namesToRemove = updatedDatapointsText
.Select(d => d.datapointName)
.ToHashSet();
var newBag = new ConcurrentBag<Datapoint>(
preexistingEntity.Datapoints
.Where(x => !namesToRemove.Contains(x.Name))
);
preexistingEntity.Datapoints = newBag;
// Insert into database
List<Datapoint> datapoints = await DatabaseInsertDatapointsWithEmbeddings(helper, searchdomain, [.. updatedDatapointsText.Select(element => (datapoint: element.jsonDatapoint, hash: element.hash))], (int)preexistingEntityID, id_searchdomain);
// Insert into datapoints
datapoints.ForEach(datapoint => preexistingEntity.Datapoints.Add(datapoint));
}
// Datapoint - Updated (probmethod or similaritymethod)
if (updatedDatapointsNonText.Count != 0)
{
await DatabaseHelper.DatabaseUpdateDatapoint(
helper,
[.. updatedDatapointsNonText.Select(element => (element.datapointName, element.probMethod, element.similarityMethod))],
(int)preexistingEntityID
);
updatedDatapointsNonText.ForEach(element =>
{
Datapoint preexistingDatapoint = preexistingEntity.Datapoints.First(x => x.Name == element.datapointName);
preexistingDatapoint.ProbMethod = new(element.jsonDatapoint.Probmethod_embedding);
preexistingDatapoint.SimilarityMethod = new(element.jsonDatapoint.SimilarityMethod);
});
}
if (invalidateSearchCache)
{
searchdomain.ReconciliateOrInvalidateCacheForNewOrUpdatedEntity(preexistingEntity);
searchdomain.UpdateModelsInUse();
}
searchdomain.UpdateModelsInUse();
return preexistingEntity;
}
else
{
int id_entity = DatabaseHelper.DatabaseInsertEntity(helper, jsonEntity.Name, jsonEntity.Probmethod, _databaseHelper.GetSearchdomainID(helper, jsonEntity.Searchdomain));
int id_entity = await DatabaseHelper.DatabaseInsertEntity(helper, jsonEntity.Name, jsonEntity.Probmethod, id_searchdomain);
List<(string attribute, string value, int id_entity)> toBeInsertedAttributes = [];
foreach (KeyValuePair<string, string> attribute in jsonEntity.Attributes)
{
DatabaseHelper.DatabaseInsertAttribute(helper, attribute.Key, attribute.Value, id_entity); // TODO implement bulk insert to reduce number of queries
toBeInsertedAttributes.Add(new() {
attribute = attribute.Key,
value = attribute.Value,
id_entity = id_entity
});
}
List<Datapoint> datapoints = [];
var insertAttributesTask = DatabaseHelper.DatabaseInsertAttributes(helper, toBeInsertedAttributes);
List<(JSONDatapoint datapoint, string hash)> toBeInsertedDatapoints = [];
ConcurrentBag<string> usedModels = searchdomain.ModelsInUse;
foreach (JSONDatapoint jsonDatapoint in jsonEntity.Datapoints)
{
string hash = Convert.ToBase64String(SHA256.HashData(Encoding.UTF8.GetBytes(jsonDatapoint.Text)));
Datapoint datapoint = DatabaseInsertDatapointWithEmbeddings(helper, searchdomain, jsonDatapoint, id_entity, hash);
datapoints.Add(datapoint);
toBeInsertedDatapoints.Add(new()
{
datapoint = jsonDatapoint,
hash = hash
});
foreach (string model in jsonDatapoint.Model)
{
if (!usedModels.Contains(model))
{
usedModels.Add(model);
}
}
}
List<Datapoint> datapoints = await DatabaseInsertDatapointsWithEmbeddings(helper, searchdomain, toBeInsertedDatapoints, id_entity, id_searchdomain);
var probMethod = Probmethods.GetMethod(jsonEntity.Probmethod) ?? throw new ProbMethodNotFoundException(jsonEntity.Probmethod);
Entity entity = new(jsonEntity.Attributes, probMethod, jsonEntity.Probmethod.ToString(), datapoints, jsonEntity.Name)
Entity entity = new(jsonEntity.Attributes, probMethod, jsonEntity.Probmethod.ToString(), [.. datapoints], jsonEntity.Name, jsonEntity.Searchdomain)
{
id = id_entity
Id = id_entity
};
entityCache.Add(entity);
entityCache[jsonEntity.Name] = entity;
searchdomain.ReconciliateOrInvalidateCacheForNewOrUpdatedEntity(entity);
searchdomain.UpdateModelsInUse();
await insertAttributesTask;
return entity;
}
}
public Datapoint DatabaseInsertDatapointWithEmbeddings(SQLHelper helper, Searchdomain searchdomain, JSONDatapoint jsonDatapoint, int id_entity, string? hash = null)
public async Task<List<Datapoint>> DatabaseInsertDatapointsWithEmbeddings(SQLHelper helper, Searchdomain searchdomain, List<(JSONDatapoint datapoint, string hash)> values, int id_entity, int id_searchdomain)
{
List<Datapoint> result = [];
List<(string name, ProbMethodEnum probmethod_embedding, SimilarityMethodEnum similarityMethod, string hash)> toBeInsertedDatapoints = [];
List<(int id_datapoint, string model, byte[] embedding)> toBeInsertedEmbeddings = [];
foreach ((JSONDatapoint datapoint, string hash) value in values)
{
Datapoint datapoint = await BuildDatapointFromJsonDatapoint(value.datapoint, id_entity, searchdomain, value.hash);
toBeInsertedDatapoints.Add(new()
{
name = datapoint.Name,
probmethod_embedding = datapoint.ProbMethod.ProbMethodEnum,
similarityMethod = datapoint.SimilarityMethod.SimilarityMethodEnum,
hash = value.hash
});
foreach ((string, float[]) embedding in datapoint.Embeddings)
{
toBeInsertedEmbeddings.Add(new()
{
id_datapoint = datapoint.Id,
model = embedding.Item1,
embedding = BytesFromFloatArray(embedding.Item2)
});
}
result.Add(datapoint);
}
await DatabaseHelper.DatabaseInsertEmbeddingBulk(helper, toBeInsertedEmbeddings, id_entity, id_searchdomain);
return result;
}
public async Task<Datapoint> DatabaseInsertDatapointWithEmbeddings(SQLHelper helper, Searchdomain searchdomain, JSONDatapoint jsonDatapoint, int id_entity, int id_searchdomain, string? hash = null)
{
if (jsonDatapoint.Text is null)
{
throw new Exception("jsonDatapoint.Text must not be null at this point");
}
hash ??= Convert.ToBase64String(SHA256.HashData(Encoding.UTF8.GetBytes(jsonDatapoint.Text)));
Datapoint datapoint = BuildDatapointFromJsonDatapoint(jsonDatapoint, id_entity, searchdomain, hash);
int id_datapoint = DatabaseHelper.DatabaseInsertDatapoint(helper, jsonDatapoint.Name, jsonDatapoint.Probmethod_embedding, jsonDatapoint.SimilarityMethod, hash, id_entity); // TODO make this a bulk add action to reduce number of queries
hash ??= GetHash(jsonDatapoint);
Datapoint datapoint = await BuildDatapointFromJsonDatapoint(jsonDatapoint, id_entity, searchdomain, hash);
int id_datapoint = await DatabaseHelper.DatabaseInsertDatapoint(helper, jsonDatapoint.Name, jsonDatapoint.Probmethod_embedding, jsonDatapoint.SimilarityMethod, hash, id_entity); // TODO make this a bulk add action to reduce number of queries
List<(string model, byte[] embedding)> data = [];
foreach ((string, float[]) embedding in datapoint.embeddings)
foreach ((string, float[]) embedding in datapoint.Embeddings)
{
data.Add((embedding.Item1, BytesFromFloatArray(embedding.Item2)));
}
DatabaseHelper.DatabaseInsertEmbeddingBulk(helper, id_datapoint, data);
await DatabaseHelper.DatabaseInsertEmbeddingBulk(helper, id_datapoint, data, id_entity, id_searchdomain);
return datapoint;
}
public Datapoint BuildDatapointFromJsonDatapoint(JSONDatapoint jsonDatapoint, int entityId, Searchdomain searchdomain, string? hash = null)
public string GetHash(JSONDatapoint jsonDatapoint)
{
return Convert.ToBase64String(SHA256.HashData(Encoding.UTF8.GetBytes(jsonDatapoint.Text ?? throw new Exception("jsonDatapoint.Text must not be null to compute hash"))));
}
public async Task<Datapoint> BuildDatapointFromJsonDatapoint(JSONDatapoint jsonDatapoint, int entityId, Searchdomain searchdomain, string? hash = null)
{
if (jsonDatapoint.Text is null)
{
throw new Exception("jsonDatapoint.Text must not be null at this point");
}
using SQLHelper helper = searchdomain.helper.DuplicateConnection();
LRUCache<string, Dictionary<string, float[]>> embeddingCache = searchdomain.embeddingCache;
SQLHelper helper = searchdomain.Helper;
EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache = searchdomain.EmbeddingCache;
hash ??= Convert.ToBase64String(SHA256.HashData(Encoding.UTF8.GetBytes(jsonDatapoint.Text)));
DatabaseHelper.DatabaseInsertDatapoint(helper, jsonDatapoint.Name, jsonDatapoint.Probmethod_embedding, jsonDatapoint.SimilarityMethod, hash, entityId);
Dictionary<string, float[]> embeddings = Datapoint.GenerateEmbeddings(jsonDatapoint.Text, [.. jsonDatapoint.Model], searchdomain.aIProvider, embeddingCache);
var probMethod_embedding = new ProbMethod(jsonDatapoint.Probmethod_embedding, logger) ?? throw new ProbMethodNotFoundException(jsonDatapoint.Probmethod_embedding);
var similarityMethod = new SimilarityMethod(jsonDatapoint.SimilarityMethod, logger) ?? throw new SimilarityMethodNotFoundException(jsonDatapoint.SimilarityMethod);
return new Datapoint(jsonDatapoint.Name, probMethod_embedding, similarityMethod, hash, [.. embeddings.Select(kv => (kv.Key, kv.Value))]);
int id = await DatabaseHelper.DatabaseInsertDatapoint(helper, jsonDatapoint.Name, jsonDatapoint.Probmethod_embedding, jsonDatapoint.SimilarityMethod, hash, entityId);
Dictionary<string, float[]> embeddings = Datapoint.GetEmbeddings(jsonDatapoint.Text, [.. jsonDatapoint.Model], searchdomain.AiProvider, embeddingCache);
var probMethod_embedding = new ProbMethod(jsonDatapoint.Probmethod_embedding) ?? throw new ProbMethodNotFoundException(jsonDatapoint.Probmethod_embedding);
var similarityMethod = new SimilarityMethod(jsonDatapoint.SimilarityMethod) ?? throw new SimilarityMethodNotFoundException(jsonDatapoint.SimilarityMethod);
return new Datapoint(jsonDatapoint.Name, probMethod_embedding, similarityMethod, hash, [.. embeddings.Select(kv => (kv.Key, kv.Value))], id);
}
public static (Searchdomain?, int?, string?) TryGetSearchdomain(SearchdomainManager searchdomainManager, string searchdomain, ILogger logger)

View File

@@ -12,6 +12,11 @@ public static class DatabaseMigrations
int initialDatabaseVersion = DatabaseGetVersion(helper);
int databaseVersion = initialDatabaseVersion;
if (databaseVersion == 0)
{
databaseVersion = Create(helper);
}
var updateMethods = typeof(DatabaseMigrations)
.GetMethods(BindingFlags.Public | BindingFlags.Static)
.Where(m => m.Name.StartsWith("UpdateFrom") && m.ReturnType == typeof(int))
@@ -29,66 +34,113 @@ public static class DatabaseMigrations
if (databaseVersion != initialDatabaseVersion)
{
helper.ExecuteSQLNonQuery("UPDATE settings SET value = @databaseVersion", new() { ["databaseVersion"] = databaseVersion.ToString() });
var _ = helper.ExecuteSQLNonQuery("UPDATE settings SET value = @databaseVersion", new() { ["databaseVersion"] = databaseVersion.ToString() }).Result;
}
}
public static int DatabaseGetVersion(SQLHelper helper)
{
DbDataReader reader = helper.ExecuteSQLCommand("show tables", []);
bool hasTables = reader.Read();
reader.Close();
if (!hasTables)
try
{
return 0;
bool hasTables = reader.Read();
if (!hasTables)
{
return 0;
}
} finally
{
reader.Close();
}
reader = helper.ExecuteSQLCommand("show tables like '%settings%'", []);
bool hasSystemTable = reader.Read();
reader.Close();
if (!hasSystemTable)
try
{
return 1;
bool hasSystemTable = reader.Read();
if (!hasSystemTable)
{
return 1;
}
} finally
{
reader.Close();
}
reader = helper.ExecuteSQLCommand("SELECT value FROM settings WHERE name=\"DatabaseVersion\"", []);
reader.Read();
string rawVersion = reader.GetString(0);
reader.Close();
bool success = int.TryParse(rawVersion, out int version);
if (!success)
try
{
throw new DatabaseVersionException();
reader.Read();
string rawVersion = reader.GetString(0);
bool success = int.TryParse(rawVersion, out int version);
if (!success)
{
throw new DatabaseVersionException();
}
return version;
} finally
{
reader.Close();
}
return version;
}
public static int Create(SQLHelper helper)
{
helper.ExecuteSQLNonQuery("CREATE TABLE searchdomain (id int PRIMARY KEY auto_increment, name varchar(512), settings JSON);", []);
helper.ExecuteSQLNonQuery("CREATE TABLE entity (id int PRIMARY KEY auto_increment, name varchar(512), probmethod varchar(128), id_searchdomain int, FOREIGN KEY (id_searchdomain) REFERENCES searchdomain(id));", []);
helper.ExecuteSQLNonQuery("CREATE TABLE attribute (id int PRIMARY KEY auto_increment, id_entity int, attribute varchar(512), value longtext, FOREIGN KEY (id_entity) REFERENCES entity(id));", []);
helper.ExecuteSQLNonQuery("CREATE TABLE datapoint (id int PRIMARY KEY auto_increment, name varchar(512), probmethod_embedding varchar(512), id_entity int, FOREIGN KEY (id_entity) REFERENCES entity(id));", []);
helper.ExecuteSQLNonQuery("CREATE TABLE embedding (id int PRIMARY KEY auto_increment, id_datapoint int, model varchar(512), embedding blob, FOREIGN KEY (id_datapoint) REFERENCES datapoint(id));", []);
var _ = helper.ExecuteSQLNonQuery("CREATE TABLE searchdomain (id int PRIMARY KEY auto_increment, name varchar(512), settings JSON);", []).Result;
_ = helper.ExecuteSQLNonQuery("CREATE TABLE entity (id int PRIMARY KEY auto_increment, name varchar(512), probmethod varchar(128), id_searchdomain int, FOREIGN KEY (id_searchdomain) REFERENCES searchdomain(id));", []).Result;
_ = helper.ExecuteSQLNonQuery("CREATE TABLE attribute (id int PRIMARY KEY auto_increment, id_entity int, attribute varchar(512), value longtext, FOREIGN KEY (id_entity) REFERENCES entity(id));", []).Result;
_ = helper.ExecuteSQLNonQuery("CREATE TABLE datapoint (id int PRIMARY KEY auto_increment, name varchar(512), probmethod_embedding varchar(512), id_entity int, FOREIGN KEY (id_entity) REFERENCES entity(id));", []).Result;
_ = helper.ExecuteSQLNonQuery("CREATE TABLE embedding (id int PRIMARY KEY auto_increment, id_datapoint int, model varchar(512), embedding blob, FOREIGN KEY (id_datapoint) REFERENCES datapoint(id));", []).Result;
return 1;
}
public static int UpdateFrom1(SQLHelper helper)
{
helper.ExecuteSQLNonQuery("CREATE TABLE settings (name varchar(512), value varchar(8192));", []);
helper.ExecuteSQLNonQuery("INSERT INTO settings (name, value) VALUES (\"DatabaseVersion\", \"2\");", []);
var _ = helper.ExecuteSQLNonQuery("CREATE TABLE settings (name varchar(512), value varchar(8192));", []).Result;
_ = helper.ExecuteSQLNonQuery("INSERT INTO settings (name, value) VALUES (\"DatabaseVersion\", \"2\");", []).Result;
return 2;
}
public static int UpdateFrom2(SQLHelper helper)
{
helper.ExecuteSQLNonQuery("ALTER TABLE datapoint ADD hash VARCHAR(44);", []);
helper.ExecuteSQLNonQuery("UPDATE datapoint SET hash='';", []);
var _ = helper.ExecuteSQLNonQuery("ALTER TABLE datapoint ADD hash VARCHAR(44);", []).Result;
_ = helper.ExecuteSQLNonQuery("UPDATE datapoint SET hash='';", []).Result;
return 3;
}
public static int UpdateFrom3(SQLHelper helper)
{
helper.ExecuteSQLNonQuery("ALTER TABLE datapoint ADD COLUMN similaritymethod VARCHAR(512) NULL DEFAULT 'Cosine' AFTER probmethod_embedding", []);
var _ = helper.ExecuteSQLNonQuery("ALTER TABLE datapoint ADD COLUMN similaritymethod VARCHAR(512) NULL DEFAULT 'Cosine' AFTER probmethod_embedding", []).Result;
return 4;
}
public static int UpdateFrom4(SQLHelper helper)
{
var _ = helper.ExecuteSQLNonQuery("UPDATE searchdomain SET settings = JSON_SET(settings, '$.QueryCacheSize', 1000000) WHERE JSON_EXTRACT(settings, '$.QueryCacheSize') is NULL;", []).Result; // Set QueryCacheSize to a default of 1000000
return 5;
}
public static int UpdateFrom5(SQLHelper helper)
{
// Add id_entity to embedding
var _ = helper.ExecuteSQLNonQuery("ALTER TABLE embedding ADD COLUMN id_entity INT NULL", []).Result;
int count;
do
{
count = helper.ExecuteSQLNonQuery("UPDATE embedding e JOIN datapoint d ON d.id = e.id_datapoint JOIN (SELECT id FROM embedding WHERE id_entity IS NULL LIMIT 10000) x on x.id = e.id SET e.id_entity = d.id_entity;", []).Result;
} while (count == 10000);
_ = helper.ExecuteSQLNonQuery("ALTER TABLE embedding MODIFY id_entity INT NOT NULL;", []).Result;
_ = helper.ExecuteSQLNonQuery("CREATE INDEX idx_embedding_entity_model ON embedding (id_entity, model)", []).Result;
// Add id_searchdomain to embedding
_ = helper.ExecuteSQLNonQuery("ALTER TABLE embedding ADD COLUMN id_searchdomain INT NULL", []).Result;
do
{
count = helper.ExecuteSQLNonQuery("UPDATE embedding e JOIN entity en ON en.id = e.id_datapoint JOIN (SELECT id FROM embedding WHERE id_searchdomain IS NULL LIMIT 10000) x on x.id = e.id SET e.id_searchdomain = en.id_searchdomain;", []).Result;
} while (count == 10000);
_ = helper.ExecuteSQLNonQuery("ALTER TABLE embedding MODIFY id_searchdomain INT NOT NULL;", []).Result;
_ = helper.ExecuteSQLNonQuery("CREATE INDEX idx_embedding_searchdomain_model ON embedding (id_searchdomain)", []).Result;
return 6;
}
}

View File

@@ -0,0 +1,65 @@
using System.Data.Common;
public static class SQLiteMigrations
{
public static void Migrate(DbConnection conn)
{
EnableWal(conn);
using var cmd = conn.CreateCommand();
cmd.CommandText = "PRAGMA user_version;";
var version = Convert.ToInt32(cmd.ExecuteScalar());
if (version == 0)
{
CreateV1(conn);
SetVersion(conn, 1);
version = 1;
}
if (version == 1)
{
// future migration
// UpdateFrom1To2(conn);
// SetVersion(conn, 2);
}
}
private static void EnableWal(DbConnection conn)
{
using var cmd = conn.CreateCommand();
cmd.CommandText = "PRAGMA journal_mode = WAL;";
cmd.ExecuteNonQuery();
}
private static void CreateV1(DbConnection conn)
{
using var tx = conn.BeginTransaction();
using var cmd = conn.CreateCommand();
cmd.CommandText = """
CREATE TABLE embedding_cache (
cache_key TEXT NOT NULL,
model_key TEXT NOT NULL,
embedding BLOB NOT NULL,
idx INTEGER NOT NULL,
PRIMARY KEY (cache_key, model_key)
);
CREATE INDEX idx_index
ON embedding_cache(idx);
""";
cmd.ExecuteNonQuery();
tx.Commit();
}
private static void SetVersion(DbConnection conn, int version)
{
using var cmd = conn.CreateCommand();
cmd.CommandText = $"PRAGMA user_version = {version};";
cmd.ExecuteNonQuery();
}
}

View File

@@ -8,10 +8,11 @@ public class EmbeddingSearchOptions : ApiKeyOptions
{
public required ConnectionStringsOptions ConnectionStrings { get; set; }
public ElmahOptions? Elmah { get; set; }
public required long EmbeddingCacheMaxCount { get; set; }
public required Dictionary<string, AiProvider> AiProviders { get; set; }
public required SimpleAuthOptions SimpleAuth { get; set; }
public required CacheOptions Cache { get; set; }
public required bool UseHttpsRedirection { get; set; }
public int? MaxRequestBodySize { get; set; }
}
public class AiProvider
@@ -38,4 +39,12 @@ public class SimpleUser
public class ConnectionStringsOptions
{
public required string SQL { get; set; }
public string? Cache { get; set; }
}
public class CacheOptions
{
public required long CacheTopN { get; set; }
public bool StoreEmbeddingCache { get; set; } = false;
public int? StoreTopN { get; set; }
}

View File

@@ -0,0 +1,109 @@
namespace Server.Models;
using System.Data.Common;
public abstract partial class SqlHelper : IDisposable
{
public DbConnection Connection { get; set; }
public DbDataReader? DbDataReader { get; set; }
public string ConnectionString { get; set; }
public SqlHelper(DbConnection connection, string connectionString)
{
Connection = connection;
ConnectionString = connectionString;
}
public abstract SqlHelper DuplicateConnection();
public void Dispose()
{
Connection.Close();
GC.SuppressFinalize(this);
}
public DbDataReader ExecuteSQLCommand(string query, object[] parameters)
{
lock (Connection)
{
EnsureConnected();
EnsureDbReaderIsClosed();
using DbCommand command = Connection.CreateCommand();
command.CommandText = query;
command.Parameters.AddRange(parameters);
DbDataReader = command.ExecuteReader();
return DbDataReader;
}
}
public void ExecuteQuery<T>(string query, object[] parameters, Func<DbDataReader, T> map)
{
lock (Connection)
{
EnsureConnected();
EnsureDbReaderIsClosed();
using var command = Connection.CreateCommand();
command.CommandText = query;
command.Parameters.AddRange(parameters);
using var reader = command.ExecuteReader();
while (reader.Read())
{
map(reader);
}
return;
}
}
public int ExecuteSQLNonQuery(string query, object[] parameters)
{
lock (Connection)
{
EnsureConnected();
EnsureDbReaderIsClosed();
using DbCommand command = Connection.CreateCommand();
command.CommandText = query;
command.Parameters.AddRange(parameters);
return command.ExecuteNonQuery();
}
}
public abstract int ExecuteSQLCommandGetInsertedID(string query, object[] parameters);
public bool EnsureConnected()
{
if (Connection.State != System.Data.ConnectionState.Open)
{
try
{
Connection.Close();
Connection.Open();
}
catch (Exception ex)
{
ElmahCore.ElmahExtensions.RaiseError(ex);
throw;
}
}
return true;
}
public void EnsureDbReaderIsClosed()
{
int counter = 0;
int sleepTime = 10;
int timeout = 5000;
while (!(DbDataReader?.IsClosed ?? true))
{
if (counter > timeout / sleepTime)
{
TimeoutException ex = new("Unable to ensure dbDataReader is closed");
ElmahCore.ElmahExtensions.RaiseError(ex);
throw ex;
}
Thread.Sleep(sleepTime);
}
}
}

View File

@@ -6,34 +6,29 @@ namespace Server;
public class ProbMethod
{
public Probmethods.probMethodDelegate method;
public ProbMethodEnum probMethodEnum;
public string name;
public Probmethods.ProbMethodDelegate Method;
public ProbMethodEnum ProbMethodEnum;
public string Name;
public ProbMethod(ProbMethodEnum probMethodEnum, ILogger logger)
public ProbMethod(ProbMethodEnum probMethodEnum)
{
this.probMethodEnum = probMethodEnum;
this.name = probMethodEnum.ToString();
Probmethods.probMethodDelegate? probMethod = Probmethods.GetMethod(name);
if (probMethod is null)
{
logger.LogError("Unable to retrieve probMethod {name}", [name]);
throw new ProbMethodNotFoundException(probMethodEnum);
}
method = probMethod;
this.ProbMethodEnum = probMethodEnum;
this.Name = probMethodEnum.ToString();
Probmethods.ProbMethodDelegate? probMethod = Probmethods.GetMethod(Name) ?? throw new ProbMethodNotFoundException(probMethodEnum);
Method = probMethod;
}
}
public static class Probmethods
{
public delegate float probMethodProtoDelegate(List<(string, float)> list, string parameters);
public delegate float probMethodDelegate(List<(string, float)> list);
public static readonly Dictionary<ProbMethodEnum, probMethodProtoDelegate> probMethods;
public delegate float ProbMethodProtoDelegate(List<(string, float)> list, string parameters);
public delegate float ProbMethodDelegate(List<(string, float)> list);
public static readonly Dictionary<ProbMethodEnum, ProbMethodProtoDelegate> ProbMethods;
static Probmethods()
{
probMethods = new Dictionary<ProbMethodEnum, probMethodProtoDelegate>
ProbMethods = new Dictionary<ProbMethodEnum, ProbMethodProtoDelegate>
{
[ProbMethodEnum.Mean] = Mean,
[ProbMethodEnum.HarmonicMean] = HarmonicMean,
@@ -46,12 +41,12 @@ public static class Probmethods
};
}
public static probMethodDelegate? GetMethod(ProbMethodEnum probMethodEnum)
public static ProbMethodDelegate? GetMethod(ProbMethodEnum probMethodEnum)
{
return GetMethod(probMethodEnum.ToString());
}
public static probMethodDelegate? GetMethod(string name)
public static ProbMethodDelegate? GetMethod(string name)
{
string methodName = name;
string? jsonArg = "";
@@ -68,7 +63,7 @@ public static class Probmethods
methodName
);
if (!probMethods.TryGetValue(probMethodEnum, out probMethodProtoDelegate? method))
if (!ProbMethods.TryGetValue(probMethodEnum, out ProbMethodProtoDelegate? method))
{
return null;
}

View File

@@ -9,13 +9,14 @@ using Server.Helper;
using Server.Models;
using Server.Services;
using System.Text.Json.Serialization;
using System.Reflection;
using System.Configuration;
using Microsoft.OpenApi.Models;
using Microsoft.OpenApi;
using Shared.Models;
using Microsoft.AspNetCore.ResponseCompression;
using System.Net;
using System.Text;
using Server.Migrations;
using Microsoft.Data.Sqlite;
var builder = WebApplication.CreateBuilder(args);
@@ -31,10 +32,28 @@ builder.Services.AddControllersWithViews()
// Add Configuration
IConfigurationSection configurationSection = builder.Configuration.GetSection("Embeddingsearch");
EmbeddingSearchOptions configuration = configurationSection.Get<EmbeddingSearchOptions>() ?? throw new ConfigurationErrorsException("Unable to start server due to an invalid configration");
builder.Services.Configure<EmbeddingSearchOptions>(configurationSection);
builder.Services.Configure<ApiKeyOptions>(configurationSection);
// Configure Kestrel
builder.WebHost.ConfigureKestrel(options =>
{
options.Limits.MaxRequestBodySize = configuration.MaxRequestBodySize ?? 50 * 1024 * 1024;
});
// Migrate database
SQLHelper helper = new(new MySql.Data.MySqlClient.MySqlConnection(configuration.ConnectionStrings.SQL), configuration.ConnectionStrings.SQL);
DatabaseMigrations.Migrate(helper);
// Migrate SQLite cache
if (configuration.ConnectionStrings.Cache is not null)
{
var SqliteConnection = new SqliteConnection(configuration.ConnectionStrings.Cache);
SqliteConnection.Open();
SQLiteMigrations.Migrate(SqliteConnection);
}
// Add Localization
builder.Services.AddLocalization(options => options.ResourcesPath = "Resources");
builder.Services.Configure<RequestLocalizationOptions>(options =>
@@ -50,36 +69,37 @@ builder.Services.AddScoped<LocalizationService>();
// Learn more about configuring Swagger/OpenAPI at https://aka.ms/aspnetcore/swashbuckle
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen(c =>
builder.Services.AddOpenApi(options =>
{
var xmlFile = $"{Assembly.GetExecutingAssembly().GetName().Name}.xml";
var xmlPath = Path.Combine(AppContext.BaseDirectory, xmlFile);
c.IncludeXmlComments(xmlPath);
if (configuration.ApiKeys is not null)
options.AddDocumentTransformer((document, context, _) =>
{
c.AddSecurityDefinition("ApiKey", new OpenApiSecurityScheme
{
Description = "ApiKey must appear in header",
Type = SecuritySchemeType.ApiKey,
Name = "X-API-KEY",
In = ParameterLocation.Header,
Scheme = "ApiKeyScheme"
});
var key = new OpenApiSecurityScheme()
{
Reference = new OpenApiReference
if (configuration.ApiKeys is null)
return Task.CompletedTask;
document.Components ??= new();
document.Components.SecuritySchemes ??= new Dictionary<string, IOpenApiSecurityScheme>();
document.Components.SecuritySchemes["ApiKey"] =
new OpenApiSecurityScheme
{
Type = ReferenceType.SecurityScheme,
Id = "ApiKey"
},
In = ParameterLocation.Header
};
var requirement = new OpenApiSecurityRequirement
{
{ key, []}
};
c.AddSecurityRequirement(requirement);
}
Type = SecuritySchemeType.ApiKey,
Name = "X-API-KEY",
In = ParameterLocation.Header,
Description = "ApiKey must appear in header"
};
document.Security ??= [];
// Apply globally
document.Security?.Add(
new OpenApiSecurityRequirement
{
[new OpenApiSecuritySchemeReference("ApiKey", document)] = []
}
);
return Task.CompletedTask;
});
});
Log.Logger = new LoggerConfiguration()
.ReadFrom.Configuration(builder.Configuration)
@@ -228,13 +248,16 @@ app.Use(async (context, next) =>
await next();
});
app.UseSwagger();
app.UseSwaggerUI(options =>
{
options.SwaggerEndpoint("/openapi/v1.json", "API v1");
options.RoutePrefix = "swagger";
options.EnablePersistAuthorization();
options.InjectStylesheet("/swagger-ui/custom.css");
options.InjectJavascript("/swagger-ui/custom.js");
});
app.MapOpenApi("/openapi/v1.json");
//app.UseElmahExceptionPage(); // Messes with JSON response for API calls. Leaving this here so I don't accidentally put this in again later on.
if (configuration.ApiKeys is not null)

View File

@@ -300,4 +300,40 @@
<data name="Unable to fetch searchdomain database utilization" xml:space="preserve">
<value>Searchdomain Datenbank-Auslastung konnte nicht abgerufen werden</value>
</data>
<data name="Query cache entry count" xml:space="preserve">
<value>Query-Cache Einträge</value>
</data>
<data name="Query cache capacity (all)" xml:space="preserve">
<value>Query-Cache Kapazität (alle)</value>
</data>
<data name="queryCacheEntryCountAllInfo" xml:space="preserve">
<value>Anzahl der Einträge, die insgesamt in den Query-Cache passen. Ungeladene Searchdomains werden berücksichtigt.</value>
</data>
<data name="Query cache capacity (loaded)" xml:space="preserve">
<value>Query-Cache Kapazität (geladen)</value>
</data>
<data name="queryCacheEntryCountLoadedInfo" xml:space="preserve">
<value>Anzahl der Einträge, die insgesamt in den Query-Cache der geladenen Searchdomains passen.</value>
</data>
<data name="Query cache size" xml:space="preserve">
<value>Query Cache Größe</value>
</data>
<data name="Embeddings parallel prefetching" xml:space="preserve">
<value>Embeddings parallel prefetchen</value>
</data>
<data name="parallelEmbeddingsPrefetchInfo" xml:space="preserve">
<value>Wenn diese Einstellung aktiv ist, wird das Abrufen von Embeddings beim Indizieren von Entities parallelisiert. Deaktiviere diese Einstellung, falls Model-unloading ein Problem ist.</value>
</data>
<data name="Add result" xml:space="preserve">
<value>Ergebnis hinzufügen</value>
</data>
<data name="Search query was updated successfully" xml:space="preserve">
<value>Suchanfrage wurde erfolgreich angepasst</value>
</data>
<data name="Total RAM usage" xml:space="preserve">
<value>RAM Verwendung insgesamt</value>
</data>
<data name="Total Database size" xml:space="preserve">
<value>Datenbankgröße insgesamt</value>
</data>
</root>

View File

@@ -300,4 +300,40 @@
<data name="Unable to fetch searchdomain database utilization" xml:space="preserve">
<value>Unable to fetch searchdomain database utilization</value>
</data>
<data name="Query cache entry count" xml:space="preserve">
<value>Query cache entry count</value>
</data>
<data name="Query cache capacity (all)" xml:space="preserve">
<value>Query cache capacity (all)</value>
</data>
<data name="queryCacheEntryCountAllInfo" xml:space="preserve">
<value>Number of query cache entries that can be stored in the query cache, including searchdomains that are currently not loaded.</value>
</data>
<data name="Query cache capacity (loaded)" xml:space="preserve">
<value>Query cache capacity (loaded)</value>
</data>
<data name="queryCacheEntryCountLoadedInfo" xml:space="preserve">
<value>Number of query cache entries that can be stored in the query cache of all loaded searchdomains.</value>
</data>
<data name="Query cache size" xml:space="preserve">
<value>Query Cache size</value>
</data>
<data name="Embeddings parallel prefetching" xml:space="preserve">
<value>Embeddings parallel prefetching</value>
</data>
<data name="parallelEmbeddingsPrefetchInfo" xml:space="preserve">
<value>With this setting activated the embeddings retrieval will be parallelized when indexing entities. Disable this setting if model unloading is an issue.</value>
</data>
<data name="Add result" xml:space="preserve">
<value>Add result</value>
</data>
<data name="Search query was updated successfully" xml:space="preserve">
<value>Search query was updated successfully</value>
</data>
<data name="Total RAM usage" xml:space="preserve">
<value>Total RAM usage</value>
</data>
<data name="Total Database size" xml:space="preserve">
<value>Total Database size</value>
</data>
</root>

View File

@@ -4,8 +4,10 @@ using System.Text.Json;
using ElmahCore.Mvc.Logger;
using MySql.Data.MySqlClient;
using Server.Helper;
using Shared;
using Shared.Models;
using AdaptiveExpressions;
using System.Collections.Concurrent;
namespace Server;
@@ -13,36 +15,33 @@ public class Searchdomain
{
private readonly string _connectionString;
private readonly string _provider;
public AIProvider aIProvider;
public string searchdomain;
public int id;
public SearchdomainSettings settings;
public Dictionary<string, DateTimedSearchResult> searchCache; // Key: query, Value: Search results for that query (with timestamp)
public List<Entity> entityCache;
public List<string> modelsInUse;
public LRUCache<string, Dictionary<string, float[]>> embeddingCache;
private readonly MySqlConnection connection;
public SQLHelper helper;
public AIProvider AiProvider;
public string SearchdomainName;
public int Id;
public SearchdomainSettings Settings;
public EnumerableLruCache<string, DateTimedSearchResult> QueryCache; // Key: query, Value: Search results for that query (with timestamp)
public ConcurrentDictionary<string, Entity> EntityCache;
public ConcurrentBag<string> ModelsInUse;
public EnumerableLruCache<string, Dictionary<string, float[]>> EmbeddingCache;
public SQLHelper Helper;
private readonly ILogger _logger;
public Searchdomain(string searchdomain, string connectionString, AIProvider aIProvider, LRUCache<string, Dictionary<string, float[]>> embeddingCache, ILogger logger, string provider = "sqlserver", bool runEmpty = false)
public Searchdomain(string searchdomain, string connectionString, SQLHelper sqlHelper, AIProvider aIProvider, EnumerableLruCache<string, Dictionary<string, float[]>> embeddingCache, ILogger logger, string provider = "sqlserver", bool runEmpty = false)
{
_connectionString = connectionString;
_provider = provider.ToLower();
this.searchdomain = searchdomain;
this.aIProvider = aIProvider;
this.embeddingCache = embeddingCache;
this.SearchdomainName = searchdomain;
this.AiProvider = aIProvider;
this.EmbeddingCache = embeddingCache;
this._logger = logger;
searchCache = [];
entityCache = [];
connection = new MySqlConnection(connectionString);
connection.Open();
helper = new SQLHelper(connection, connectionString);
settings = GetSettings();
modelsInUse = []; // To make the compiler shut up - it is set in UpdateSearchDomain() don't worry // yeah, about that...
EntityCache = [];
Helper = sqlHelper;
Settings = GetSettings();
QueryCache = new(Settings.QueryCacheSize);
ModelsInUse = []; // To make the compiler shut up - it is set in UpdateSearchDomain() don't worry // yeah, about that...
if (!runEmpty)
{
GetID();
Id = GetID().Result;
UpdateEntityCache();
}
}
@@ -52,118 +51,138 @@ public class Searchdomain
InvalidateSearchCache();
Dictionary<string, dynamic> parametersIDSearchdomain = new()
{
["id"] = this.id
["id"] = this.Id
};
DbDataReader embeddingReader = helper.ExecuteSQLCommand("SELECT e.id, e.id_datapoint, e.model, e.embedding FROM embedding e JOIN datapoint d ON e.id_datapoint = d.id JOIN entity ent ON d.id_entity = ent.id JOIN searchdomain s ON ent.id_searchdomain = s.id WHERE s.id = @id", parametersIDSearchdomain);
DbDataReader embeddingReader = Helper.ExecuteSQLCommand("SELECT id, id_datapoint, model, embedding FROM embedding WHERE id_searchdomain = @id", parametersIDSearchdomain);
Dictionary<int, Dictionary<string, float[]>> embedding_unassigned = [];
while (embeddingReader.Read())
try
{
int? id_datapoint_debug = null;
try
while (embeddingReader.Read())
{
int id_datapoint = embeddingReader.GetInt32(1);
id_datapoint_debug = id_datapoint;
string model = embeddingReader.GetString(2);
long length = embeddingReader.GetBytes(3, 0, null, 0, 0);
byte[] embedding = new byte[length];
embeddingReader.GetBytes(3, 0, embedding, 0, (int) length);
if (embedding_unassigned.TryGetValue(id_datapoint, out Dictionary<string, float[]>? embedding_unassigned_id_datapoint))
int? id_datapoint_debug = null;
try
{
embedding_unassigned[id_datapoint][model] = SearchdomainHelper.FloatArrayFromBytes(embedding);
}
else
{
embedding_unassigned[id_datapoint] = new()
int id_datapoint = embeddingReader.GetInt32(1);
id_datapoint_debug = id_datapoint;
string model = embeddingReader.GetString(2);
long length = embeddingReader.GetBytes(3, 0, null, 0, 0);
byte[] embedding = new byte[length];
embeddingReader.GetBytes(3, 0, embedding, 0, (int) length);
if (embedding_unassigned.TryGetValue(id_datapoint, out Dictionary<string, float[]>? embedding_unassigned_id_datapoint))
{
[model] = SearchdomainHelper.FloatArrayFromBytes(embedding)
};
}
} catch (Exception e)
{
_logger.LogError("Error reading embedding (id: {id_datapoint}) from database: {e.Message} - {e.StackTrace}", [id_datapoint_debug, e.Message, e.StackTrace]);
ElmahCore.ElmahExtensions.RaiseError(e);
}
}
embeddingReader.Close();
DbDataReader datapointReader = helper.ExecuteSQLCommand("SELECT d.id, d.id_entity, d.name, d.probmethod_embedding, d.similaritymethod, d.hash FROM datapoint d JOIN entity ent ON d.id_entity = ent.id JOIN searchdomain s ON ent.id_searchdomain = s.id WHERE s.id = @id", parametersIDSearchdomain);
Dictionary<int, List<Datapoint>> datapoint_unassigned = [];
while (datapointReader.Read())
{
int id = datapointReader.GetInt32(0);
int id_entity = datapointReader.GetInt32(1);
string name = datapointReader.GetString(2);
string probmethodString = datapointReader.GetString(3);
string similarityMethodString = datapointReader.GetString(4);
string hash = datapointReader.GetString(5);
ProbMethodEnum probmethodEnum = (ProbMethodEnum)Enum.Parse(
typeof(ProbMethodEnum),
probmethodString
);
SimilarityMethodEnum similairtyMethodEnum = (SimilarityMethodEnum)Enum.Parse(
typeof(SimilarityMethodEnum),
similarityMethodString
);
ProbMethod probmethod = new(probmethodEnum, _logger);
SimilarityMethod similarityMethod = new(similairtyMethodEnum, _logger);
if (embedding_unassigned.TryGetValue(id, out Dictionary<string, float[]>? embeddings) && probmethod is not null)
{
embedding_unassigned.Remove(id);
if (!datapoint_unassigned.ContainsKey(id_entity))
embedding_unassigned[id_datapoint][model] = SearchdomainHelper.FloatArrayFromBytes(embedding);
}
else
{
embedding_unassigned[id_datapoint] = new()
{
[model] = SearchdomainHelper.FloatArrayFromBytes(embedding)
};
}
} catch (Exception e)
{
datapoint_unassigned[id_entity] = [];
_logger.LogError("Error reading embedding (id: {id_datapoint}) from database: {e.Message} - {e.StackTrace}", [id_datapoint_debug, e.Message, e.StackTrace]);
ElmahCore.ElmahExtensions.RaiseError(e);
}
datapoint_unassigned[id_entity].Add(new Datapoint(name, probmethod, similarityMethod, hash, [.. embeddings.Select(kv => (kv.Key, kv.Value))]));
}
} finally
{
embeddingReader.Close();
}
datapointReader.Close();
DbDataReader attributeReader = helper.ExecuteSQLCommand("SELECT a.id, a.id_entity, a.attribute, a.value FROM attribute a JOIN entity ent ON a.id_entity = ent.id JOIN searchdomain s ON ent.id_searchdomain = s.id WHERE s.id = @id", parametersIDSearchdomain);
DbDataReader datapointReader = Helper.ExecuteSQLCommand("SELECT d.id, d.id_entity, d.name, d.probmethod_embedding, d.similaritymethod, d.hash FROM datapoint d JOIN entity ent ON d.id_entity = ent.id JOIN searchdomain s ON ent.id_searchdomain = s.id WHERE s.id = @id", parametersIDSearchdomain);
Dictionary<int, ConcurrentBag<Datapoint>> datapoint_unassigned = [];
try
{
while (datapointReader.Read())
{
int id = datapointReader.GetInt32(0);
int id_entity = datapointReader.GetInt32(1);
string name = datapointReader.GetString(2);
string probmethodString = datapointReader.GetString(3);
string similarityMethodString = datapointReader.GetString(4);
string hash = datapointReader.GetString(5);
ProbMethodEnum probmethodEnum = (ProbMethodEnum)Enum.Parse(
typeof(ProbMethodEnum),
probmethodString
);
SimilarityMethodEnum similairtyMethodEnum = (SimilarityMethodEnum)Enum.Parse(
typeof(SimilarityMethodEnum),
similarityMethodString
);
ProbMethod probmethod = new(probmethodEnum);
SimilarityMethod similarityMethod = new(similairtyMethodEnum);
if (embedding_unassigned.TryGetValue(id, out Dictionary<string, float[]>? embeddings) && probmethod is not null)
{
embedding_unassigned.Remove(id);
if (!datapoint_unassigned.ContainsKey(id_entity))
{
datapoint_unassigned[id_entity] = [];
}
datapoint_unassigned[id_entity].Add(new Datapoint(name, probmethod, similarityMethod, hash, [.. embeddings.Select(kv => (kv.Key, kv.Value))], id));
}
}
} finally
{
datapointReader.Close();
}
DbDataReader attributeReader = Helper.ExecuteSQLCommand("SELECT a.id, a.id_entity, a.attribute, a.value FROM attribute a JOIN entity ent ON a.id_entity = ent.id JOIN searchdomain s ON ent.id_searchdomain = s.id WHERE s.id = @id", parametersIDSearchdomain);
Dictionary<int, Dictionary<string, string>> attributes_unassigned = [];
while (attributeReader.Read())
try
{
//"SELECT id, id_entity, attribute, value FROM attribute JOIN entity on attribute.id_entity as en JOIN searchdomain on en.id_searchdomain as sd WHERE sd=@id"
int id = attributeReader.GetInt32(0);
int id_entity = attributeReader.GetInt32(1);
string attribute = attributeReader.GetString(2);
string value = attributeReader.GetString(3);
if (!attributes_unassigned.ContainsKey(id_entity))
while (attributeReader.Read())
{
attributes_unassigned[id_entity] = [];
}
attributes_unassigned[id_entity].Add(attribute, value);
}
attributeReader.Close();
entityCache = [];
DbDataReader entityReader = helper.ExecuteSQLCommand("SELECT entity.id, name, probmethod FROM entity WHERE id_searchdomain=@id", parametersIDSearchdomain);
while (entityReader.Read())
{
//SELECT id, name, probmethod FROM entity WHERE id_searchdomain=@id
int id = entityReader.GetInt32(0);
string name = entityReader.GetString(1);
string probmethodString = entityReader.GetString(2);
if (!attributes_unassigned.TryGetValue(id, out Dictionary<string, string>? attributes))
{
attributes = [];
}
Probmethods.probMethodDelegate? probmethod = Probmethods.GetMethod(probmethodString);
if (datapoint_unassigned.TryGetValue(id, out List<Datapoint>? datapoints) && probmethod is not null)
{
Entity entity = new(attributes, probmethod, probmethodString, datapoints, name)
//"SELECT id, id_entity, attribute, value FROM attribute JOIN entity on attribute.id_entity as en JOIN searchdomain on en.id_searchdomain as sd WHERE sd=@id"
int id = attributeReader.GetInt32(0);
int id_entity = attributeReader.GetInt32(1);
string attribute = attributeReader.GetString(2);
string value = attributeReader.GetString(3);
if (!attributes_unassigned.ContainsKey(id_entity))
{
id = id
};
entityCache.Add(entity);
attributes_unassigned[id_entity] = [];
}
attributes_unassigned[id_entity].Add(attribute, value);
}
} finally
{
attributeReader.Close();
}
entityReader.Close();
modelsInUse = GetModels(entityCache);
EntityCache = [];
DbDataReader entityReader = Helper.ExecuteSQLCommand("SELECT entity.id, name, probmethod FROM entity WHERE id_searchdomain=@id", parametersIDSearchdomain);
try
{
while (entityReader.Read())
{
//SELECT id, name, probmethod FROM entity WHERE id_searchdomain=@id
int id = entityReader.GetInt32(0);
string name = entityReader.GetString(1);
string probmethodString = entityReader.GetString(2);
if (!attributes_unassigned.TryGetValue(id, out Dictionary<string, string>? attributes))
{
attributes = [];
}
Probmethods.ProbMethodDelegate? probmethod = Probmethods.GetMethod(probmethodString);
if (datapoint_unassigned.TryGetValue(id, out ConcurrentBag<Datapoint>? datapoints) && probmethod is not null)
{
Entity entity = new(attributes, probmethod, probmethodString, datapoints, name, SearchdomainName)
{
Id = id
};
EntityCache[name] = entity;
}
}
} finally
{
entityReader.Close();
}
ModelsInUse = GetModels(EntityCache);
}
public List<(float, string)> Search(string query, int? topN = null)
{
if (searchCache.TryGetValue(query, out DateTimedSearchResult cachedResult))
if (QueryCache.TryGetValue(query, out DateTimedSearchResult cachedResult))
{
cachedResult.AccessDateTimes.Add(DateTime.Now);
return [.. cachedResult.Results.Select(r => (r.Score, r.Name))];
@@ -172,10 +191,9 @@ public class Searchdomain
Dictionary<string, float[]> queryEmbeddings = GetQueryEmbeddings(query);
List<(float, string)> result = [];
foreach (Entity entity in entityCache)
foreach ((string name, Entity entity) in EntityCache)
{
result.Add((EvaluateEntityAgainstQueryEmbeddings(entity, queryEmbeddings), entity.name));
result.Add((EvaluateEntityAgainstQueryEmbeddings(entity, queryEmbeddings), entity.Name));
}
IEnumerable<(float, string)> sortedResults = result.OrderByDescending(s => s.Item1);
if (topN is not null)
@@ -187,26 +205,26 @@ public class Searchdomain
[.. sortedResults.Select(r =>
new ResultItem(r.Item1, r.Item2 ))]
);
searchCache[query] = new DateTimedSearchResult(DateTime.Now, searchResult);
QueryCache.Set(query, new DateTimedSearchResult(DateTime.Now, searchResult));
return results;
}
public Dictionary<string, float[]> GetQueryEmbeddings(string query)
{
bool hasQuery = embeddingCache.TryGet(query, out Dictionary<string, float[]> queryEmbeddings);
bool allModelsInQuery = queryEmbeddings is not null && modelsInUse.All(model => queryEmbeddings.ContainsKey(model));
bool hasQuery = EmbeddingCache.TryGetValue(query, out Dictionary<string, float[]>? queryEmbeddings);
bool allModelsInQuery = queryEmbeddings is not null && ModelsInUse.All(model => queryEmbeddings.ContainsKey(model));
if (!(hasQuery && allModelsInQuery) || queryEmbeddings is null)
{
queryEmbeddings = Datapoint.GenerateEmbeddings(query, modelsInUse, aIProvider, embeddingCache);
if (!embeddingCache.TryGet(query, out var embeddingCacheForCurrentQuery))
queryEmbeddings = Datapoint.GetEmbeddings(query, ModelsInUse, AiProvider, EmbeddingCache);
if (!EmbeddingCache.TryGetValue(query, out var embeddingCacheForCurrentQuery))
{
embeddingCache.Set(query, queryEmbeddings);
EmbeddingCache.Set(query, queryEmbeddings);
}
else // embeddingCache already has an entry for this query, so the missing model-embedding pairs have to be filled in
{
foreach (KeyValuePair<string, float[]> kvp in queryEmbeddings) // kvp.Key = model, kvp.Value = embedding
{
if (!embeddingCache.TryGet(kvp.Key, out var _))
if (!EmbeddingCache.TryGetValue(kvp.Key, out var _))
{
embeddingCacheForCurrentQuery[kvp.Key] = kvp.Value;
}
@@ -218,37 +236,38 @@ public class Searchdomain
public void UpdateModelsInUse()
{
modelsInUse = GetModels([.. entityCache]);
ModelsInUse = GetModels(EntityCache);
}
private static float EvaluateEntityAgainstQueryEmbeddings(Entity entity, Dictionary<string, float[]> queryEmbeddings)
{
List<(string, float)> datapointProbs = [];
foreach (Datapoint datapoint in entity.datapoints)
foreach (Datapoint datapoint in entity.Datapoints)
{
SimilarityMethod similarityMethod = datapoint.similarityMethod;
SimilarityMethod similarityMethod = datapoint.SimilarityMethod;
List<(string, float)> list = [];
foreach ((string, float[]) embedding in datapoint.embeddings)
foreach ((string, float[]) embedding in datapoint.Embeddings)
{
string key = embedding.Item1;
float value = similarityMethod.method(queryEmbeddings[embedding.Item1], embedding.Item2);
float value = similarityMethod.Method(queryEmbeddings[embedding.Item1], embedding.Item2);
list.Add((key, value));
}
datapointProbs.Add((datapoint.name, datapoint.probMethod.method(list)));
datapointProbs.Add((datapoint.Name, datapoint.ProbMethod.Method(list)));
}
return entity.probMethod(datapointProbs);
return entity.ProbMethod(datapointProbs);
}
public static List<string> GetModels(List<Entity> entities)
public static ConcurrentBag<string> GetModels(ConcurrentDictionary<string, Entity> entities)
{
List<string> result = [];
lock (entities)
ConcurrentBag<string> result = [];
foreach (KeyValuePair<string, Entity> element in entities)
{
foreach (Entity entity in entities)
Entity entity = element.Value;
lock (entity)
{
foreach (Datapoint datapoint in entity.datapoints)
foreach (Datapoint datapoint in entity.Datapoints)
{
foreach ((string, float[]) tuple in datapoint.embeddings)
foreach ((string, float[]) tuple in datapoint.Embeddings)
{
string model = tuple.Item1;
if (!result.Contains(model))
@@ -262,37 +281,25 @@ public class Searchdomain
return result;
}
public int GetID()
public async Task<int> GetID()
{
Dictionary<string, dynamic> parameters = new()
Dictionary<string, object?> parameters = new()
{
["name"] = this.searchdomain
{ "name", this.SearchdomainName }
};
DbDataReader reader = helper.ExecuteSQLCommand("SELECT id from searchdomain WHERE name = @name", parameters);
reader.Read();
this.id = reader.GetInt32(0);
reader.Close();
return this.id;
return (await Helper.ExecuteQueryAsync("SELECT id from searchdomain WHERE name = @name", parameters, x => x.GetInt32(0))).First();
}
public SearchdomainSettings GetSettings()
{
Dictionary<string, dynamic> parameters = new()
{
["name"] = searchdomain
};
DbDataReader reader = helper.ExecuteSQLCommand("SELECT settings from searchdomain WHERE name = @name", parameters);
reader.Read();
string settingsString = reader.GetString(0);
reader.Close();
return JsonSerializer.Deserialize<SearchdomainSettings>(settingsString);
return DatabaseHelper.GetSearchdomainSettings(Helper, SearchdomainName);
}
public void ReconciliateOrInvalidateCacheForNewOrUpdatedEntity(Entity entity)
{
if (settings.CacheReconciliation)
if (Settings.CacheReconciliation)
{
foreach (KeyValuePair<string, DateTimedSearchResult> element in searchCache)
foreach (var element in QueryCache)
{
string query = element.Key;
DateTimedSearchResult searchResult = element.Value;
@@ -300,9 +307,9 @@ public class Searchdomain
Dictionary<string, float[]> queryEmbeddings = GetQueryEmbeddings(query);
float evaluationResult = EvaluateEntityAgainstQueryEmbeddings(entity, queryEmbeddings);
searchResult.Results.RemoveAll(x => x.Name == entity.name); // If entity already exists in that results list: remove it.
searchResult.Results.RemoveAll(x => x.Name == entity.Name); // If entity already exists in that results list: remove it.
ResultItem newItem = new(evaluationResult, entity.name);
ResultItem newItem = new(evaluationResult, entity.Name);
int index = searchResult.Results.BinarySearch(
newItem,
Comparer<ResultItem>.Create((a, b) => b.Score.CompareTo(a.Score)) // Invert searching order
@@ -320,13 +327,13 @@ public class Searchdomain
public void ReconciliateOrInvalidateCacheForDeletedEntity(Entity entity)
{
if (settings.CacheReconciliation)
if (Settings.CacheReconciliation)
{
foreach (KeyValuePair<string, DateTimedSearchResult> element in searchCache)
foreach (KeyValuePair<string, DateTimedSearchResult> element in QueryCache)
{
string query = element.Key;
DateTimedSearchResult searchResult = element.Value;
searchResult.Results.RemoveAll(x => x.Name == entity.name);
searchResult.Results.RemoveAll(x => x.Name == entity.Name);
}
}
else
@@ -337,18 +344,18 @@ public class Searchdomain
public void InvalidateSearchCache()
{
searchCache = [];
QueryCache = new(Settings.QueryCacheSize);
}
public long GetSearchCacheSize()
{
long sizeInBytes = 0;
foreach (var entry in searchCache)
long EmbeddingCacheUtilization = 0;
foreach (var entry in QueryCache)
{
sizeInBytes += sizeof(int); // string length prefix
sizeInBytes += entry.Key.Length * sizeof(char); // string characters
sizeInBytes += entry.Value.EstimateSize();
EmbeddingCacheUtilization += sizeof(int); // string length prefix
EmbeddingCacheUtilization += entry.Key.Length * sizeof(char); // string characters
EmbeddingCacheUtilization += entry.Value.EstimateSize();
}
return sizeInBytes;
return EmbeddingCacheUtilization;
}
}

View File

@@ -8,54 +8,57 @@ using Shared.Models;
using System.Text.Json;
using Microsoft.Extensions.Options;
using Server.Models;
using Shared;
using System.Diagnostics;
namespace Server;
public class SearchdomainManager
public class SearchdomainManager : IDisposable
{
private Dictionary<string, Searchdomain> searchdomains = [];
private Dictionary<string, Searchdomain> _searchdomains = [];
private readonly ILogger<SearchdomainManager> _logger;
private readonly EmbeddingSearchOptions _options;
public readonly AIProvider aIProvider;
public readonly AIProvider AiProvider;
private readonly DatabaseHelper _databaseHelper;
private readonly string connectionString;
private MySqlConnection connection;
public SQLHelper helper;
public LRUCache<string, Dictionary<string, float[]>> embeddingCache;
private MySqlConnection _connection;
public SQLHelper Helper;
public EnumerableLruCache<string, Dictionary<string, float[]>> EmbeddingCache;
public long EmbeddingCacheMaxCount;
private bool _disposed = false;
public SearchdomainManager(ILogger<SearchdomainManager> logger, IOptions<EmbeddingSearchOptions> options, AIProvider aIProvider, DatabaseHelper databaseHelper)
{
_logger = logger;
_options = options.Value;
this.aIProvider = aIProvider;
this.AiProvider = aIProvider;
_databaseHelper = databaseHelper;
EmbeddingCacheMaxCount = _options.EmbeddingCacheMaxCount;
embeddingCache = new((int)EmbeddingCacheMaxCount);
EmbeddingCacheMaxCount = _options.Cache.CacheTopN;
if (options.Value.Cache.StoreEmbeddingCache)
{
var stopwatch = Stopwatch.StartNew();
EmbeddingCache = CacheHelper.GetEmbeddingStore(options.Value);
stopwatch.Stop();
_logger.LogInformation("GetEmbeddingStore completed in {ElapsedMilliseconds} ms", stopwatch.ElapsedMilliseconds);
} else
{
EmbeddingCache = new((int)EmbeddingCacheMaxCount);
}
connectionString = _options.ConnectionStrings.SQL;
connection = new MySqlConnection(connectionString);
connection.Open();
helper = new SQLHelper(connection, connectionString);
try
{
DatabaseMigrations.Migrate(helper);
}
catch (Exception ex)
{
_logger.LogCritical("Unable to migrate the database due to the exception: {ex}", [ex.Message]);
throw;
}
_connection = new MySqlConnection(connectionString);
_connection.Open();
Helper = new SQLHelper(_connection, connectionString);
}
public Searchdomain GetSearchdomain(string searchdomain)
{
if (searchdomains.TryGetValue(searchdomain, out Searchdomain? value))
if (_searchdomains.TryGetValue(searchdomain, out Searchdomain? value))
{
return value;
}
try
{
return SetSearchdomain(searchdomain, new Searchdomain(searchdomain, connectionString, aIProvider, embeddingCache, _logger));
return SetSearchdomain(searchdomain, new Searchdomain(searchdomain, connectionString, Helper, AiProvider, EmbeddingCache, _logger));
}
catch (MySqlException)
{
@@ -76,28 +79,19 @@ public class SearchdomainManager
searchdomain.InvalidateSearchCache();
}
public List<string> ListSearchdomains()
public async Task<List<string>> ListSearchdomainsAsync()
{
lock (helper.connection)
{
DbDataReader reader = helper.ExecuteSQLCommand("SELECT name FROM searchdomain", []);
List<string> results = [];
while (reader.Read())
{
results.Add(reader.GetString(0));
}
reader.Close();
return results;
}
return await Helper.ExecuteQueryAsync("SELECT name FROM searchdomain", [], x => x.GetString(0));
}
public int CreateSearchdomain(string searchdomain, SearchdomainSettings settings)
public async Task<int> CreateSearchdomain(string searchdomain, SearchdomainSettings settings)
{
return CreateSearchdomain(searchdomain, JsonSerializer.Serialize(settings));
return await CreateSearchdomain(searchdomain, JsonSerializer.Serialize(settings));
}
public int CreateSearchdomain(string searchdomain, string settings = "{}")
public async Task<int> CreateSearchdomain(string searchdomain, string settings = "{}")
{
if (searchdomains.TryGetValue(searchdomain, out Searchdomain? value))
if (_searchdomains.TryGetValue(searchdomain, out Searchdomain? value))
{
_logger.LogError("Searchdomain {searchdomain} could not be created, as it already exists", [searchdomain]);
throw new SearchdomainAlreadyExistsException(searchdomain);
@@ -107,26 +101,64 @@ public class SearchdomainManager
{ "name", searchdomain },
{ "settings", settings}
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO searchdomain (name, settings) VALUES (@name, @settings)", parameters);
int id = await Helper.ExecuteSQLCommandGetInsertedID("INSERT INTO searchdomain (name, settings) VALUES (@name, @settings)", parameters);
_searchdomains.Add(searchdomain, new(searchdomain, connectionString, Helper, AiProvider, EmbeddingCache, _logger));
return id;
}
public int DeleteSearchdomain(string searchdomain)
public async Task<int> DeleteSearchdomain(string searchdomain)
{
int counter = _databaseHelper.RemoveAllEntities(helper, searchdomain);
int counter = await _databaseHelper.RemoveAllEntities(Helper, searchdomain);
_logger.LogDebug($"Number of entities deleted as part of deleting the searchdomain \"{searchdomain}\": {counter}");
helper.ExecuteSQLNonQuery("DELETE FROM searchdomain WHERE name = @name", new() {{"name", searchdomain}});
searchdomains.Remove(searchdomain);
await Helper.ExecuteSQLNonQuery("DELETE FROM searchdomain WHERE name = @name", new() {{"name", searchdomain}});
_searchdomains.Remove(searchdomain);
_logger.LogDebug($"Searchdomain has been successfully removed");
return counter;
}
private Searchdomain SetSearchdomain(string name, Searchdomain searchdomain)
{
searchdomains[name] = searchdomain;
_searchdomains[name] = searchdomain;
return searchdomain;
}
public bool IsSearchdomainLoaded(string name)
{
return searchdomains.ContainsKey(name);
return _searchdomains.ContainsKey(name);
}
// Cleanup procedure
private async Task Cleanup()
{
try
{
if (_options.Cache.StoreEmbeddingCache)
{
var stopwatch = Stopwatch.StartNew();
await CacheHelper.UpdateEmbeddingStore(EmbeddingCache, _options);
stopwatch.Stop();
_logger.LogInformation("UpdateEmbeddingStore completed in {ElapsedMilliseconds} ms", stopwatch.ElapsedMilliseconds);
}
_logger.LogInformation("SearchdomainManager cleanup completed");
}
catch (Exception ex)
{
_logger.LogError(ex, "Error during SearchdomainManager cleanup");
}
}
public void Dispose()
{
Dispose(true).Wait();
GC.SuppressFinalize(this);
}
protected virtual async Task Dispose(bool disposing)
{
if (!_disposed && disposing)
{
await Cleanup();
_disposed = true;
}
}
}

View File

@@ -1,7 +1,7 @@
<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
@@ -12,21 +12,22 @@
</PropertyGroup>
<ItemGroup>
<PackageReference Include="AdaptiveExpressions" Version="4.23.0" />
<PackageReference Include="ElmahCore" Version="2.1.2" />
<PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
<PackageReference Include="Serilog.AspNetCore" Version="9.0.0" />
<PackageReference Include="Serilog.Sinks.File" Version="7.0.0" />
<PackageReference Include="Swashbuckle.AspNetCore" Version="6.6.2" />
<PackageReference Include="Microsoft.Data.SqlClient" Version="6.0.1" />
<PackageReference Include="Microsoft.Data.Sqlite" Version="9.0.3" />
<PackageReference Include="MySql.Data" Version="9.2.0" />
<PackageReference Include="Npgsql" Version="9.0.3" />
<PackageReference Include="AdaptiveExpressions" Version="4.23.1" />
<PackageReference Include="ElmahCore" Version="2.1.2" />
<PackageReference Include="Microsoft.AspNetCore.OpenApi" Version="10.0.2" />
<PackageReference Include="Newtonsoft.Json" Version="13.0.4" />
<PackageReference Include="Serilog.AspNetCore" Version="10.0.0" />
<PackageReference Include="Serilog.Sinks.File" Version="7.0.0" />
<PackageReference Include="Swashbuckle.AspNetCore" Version="10.1.0" />
<PackageReference Include="Microsoft.Data.SqlClient" Version="6.1.4" />
<PackageReference Include="Microsoft.Data.Sqlite" Version="10.0.2" />
<PackageReference Include="MySql.Data" Version="9.6.0" />
<PackageReference Include="Npgsql" Version="10.0.1" />
<PackageReference Include="OllamaSharp" Version="5.2.2" />
<PackageReference Include="System.Configuration.ConfigurationManager" Version="9.0.3" />
<PackageReference Include="System.Configuration.ConfigurationManager" Version="10.0.2" />
<PackageReference Include="System.Data.SqlClient" Version="4.9.0" />
<PackageReference Include="System.Data.Sqlite" Version="1.0.119" />
<PackageReference Include="System.Numerics.Tensors" Version="9.0.3" />
<PackageReference Include="System.Data.Sqlite" Version="2.0.2" />
<PackageReference Include="System.Numerics.Tensors" Version="10.0.2" />
</ItemGroup>
<ItemGroup>

View File

@@ -5,21 +5,16 @@ namespace Server;
public class SimilarityMethod
{
public SimilarityMethods.similarityMethodDelegate method;
public SimilarityMethodEnum similarityMethodEnum;
public string name;
public SimilarityMethods.similarityMethodDelegate Method;
public SimilarityMethodEnum SimilarityMethodEnum;
public string Name;
public SimilarityMethod(SimilarityMethodEnum similarityMethodEnum, ILogger logger)
public SimilarityMethod(SimilarityMethodEnum similarityMethodEnum)
{
this.similarityMethodEnum = similarityMethodEnum;
this.name = similarityMethodEnum.ToString();
SimilarityMethods.similarityMethodDelegate? probMethod = SimilarityMethods.GetMethod(name);
if (probMethod is null)
{
logger.LogError("Unable to retrieve similarityMethod {name}", [name]);
throw new Exception("Unable to retrieve similarityMethod");
}
method = probMethod;
SimilarityMethodEnum = similarityMethodEnum;
Name = similarityMethodEnum.ToString();
SimilarityMethods.similarityMethodDelegate? probMethod = SimilarityMethods.GetMethod(Name) ?? throw new Exception($"Unable to retrieve similarityMethod {Name}");
Method = probMethod;
}
}
@@ -27,11 +22,11 @@ public static class SimilarityMethods
{
public delegate float similarityMethodProtoDelegate(float[] vector1, float[] vector2);
public delegate float similarityMethodDelegate(float[] vector1, float[] vector2);
public static readonly Dictionary<SimilarityMethodEnum, similarityMethodProtoDelegate> probMethods;
public static readonly Dictionary<SimilarityMethodEnum, similarityMethodProtoDelegate> ProbMethods;
static SimilarityMethods()
{
probMethods = new Dictionary<SimilarityMethodEnum, similarityMethodProtoDelegate>
ProbMethods = new Dictionary<SimilarityMethodEnum, similarityMethodProtoDelegate>
{
[SimilarityMethodEnum.Cosine] = CosineSimilarity,
[SimilarityMethodEnum.Euclidian] = EuclidianDistance,
@@ -49,7 +44,7 @@ public static class SimilarityMethods
methodName
);
if (!probMethods.TryGetValue(probMethodEnum, out similarityMethodProtoDelegate? method))
if (!ProbMethods.TryGetValue(probMethodEnum, out similarityMethodProtoDelegate? method))
{
return null;
}

View File

@@ -91,8 +91,8 @@ async function generateCriticalCSSForViews() {
forceExclude: ['.btn'], // Otherwise buttons end up colorless and .btn overrides other classes like .btn-warning, etc. - so it has to be force-excluded here and re-added later
forceInclude: [
'[data-bs-theme="dark"]', '[data-bs-theme="dark"] body', '[data-bs-theme="dark"] .navbar', '[data-bs-theme="dark"] .card', '[data-bs-theme="dark"] .btn',
'.navbar',
'.col-md-4',
'.navbar', '.ms-auto', '.dropdown', '.dropdown-menu',
'.visually-hidden', // visually hidden headings
'.bi-info-circle-fill', '.text-info', // info icon
'.container', '.col-md-6', '.row', '.g-4', '.row>*',

View File

@@ -1,5 +1,5 @@
# How to use CriticalCSS
1. Install it here
1. Install the dependencies from here
```bash
npm i -D critical
npm install puppeteer
@@ -7,5 +7,4 @@ npm install puppeteer
2. Run the css generator:
```bash
node CriticalCSSGenerator.js
```
3. Move the `.css` files from the current directory to the `CriticalCSS/` folder (overwrite existing files)
```

View File

@@ -24,6 +24,24 @@
<div class="row g-4">
<!-- Server -->
<div class="col-md-6">
<div class="card shadow-sm h-100">
<div class="card-body">
<h2 class="card-title fs-5">@T["Server"]</h2>
<div class="d-flex justify-content-between mt-2">
<span>@T["Total RAM usage"]</span>
<strong id="serverMemorySize"></strong>
</div>
<div class="d-flex justify-content-between mt-2">
<span>@T["Total Database size"]</span>
<strong id="serverDatabaseSize"></strong>
</div>
</div>
</div>
</div>
<!-- Embedding Cache -->
<div class="col-md-6">
<div class="card shadow-sm h-100">
@@ -104,6 +122,43 @@
<span>@T["Total query cache utilization"]</span>
<strong id="totalQuerycacheUtilization"></strong>
</div>
<!-- Query cache -->
<div class="d-flex justify-content-between mt-2">
<span>@T["Query cache entry count"]</span>
<strong id="querycacheCount"></strong>
</div>
<div class="d-flex justify-content-between mt-2">
<span>
@T["Query cache capacity (loaded)"]
<i class="bi bi-info-circle-fill text-info"
data-bs-toggle="tooltip"
title="@T["queryCacheEntryCountLoadedInfo"]"></i>
</span>
<strong id="querycacheLoadedMaxElementCount"></strong>
</div>
<div class="progress mt-3" style="height: 8px;">
<div id="querycacheLoadedMaxElementCountProgressBar" class="progress-bar"
style="width: 0.00%"></div>
</div>
<div class="d-flex justify-content-between mt-2">
<span>
@T["Query cache capacity (all)"]
<i class="bi bi-info-circle-fill text-info"
data-bs-toggle="tooltip"
title="@T["queryCacheEntryCountAllInfo"]"></i>
</span>
<strong id="querycacheMaxElementCount"></strong>
</div>
<div class="progress mt-3" style="height: 8px;">
<div id="querycacheMaxElementCountProgressBar" class="progress-bar"
style="width: 0.00%"></div>
</div>
</div>
</div>
</div>
@@ -115,13 +170,6 @@
var searchdomains = null;
document.addEventListener('DOMContentLoaded', async () => {
// Initialize all tooltips
var tooltipTriggerList = [].slice.call(document.querySelectorAll('[data-bs-toggle="tooltip"]'))
var tooltipList = tooltipTriggerList.map(function (tooltipTriggerEl) {
return new bootstrap.Tooltip(tooltipTriggerEl)
});
let searchdomainCount = document.getElementById("searchdomainCount");
showThrobber(searchdomainCount);
let searchdomainEntityCount = document.getElementById("searchdomainEntityCount");
@@ -135,6 +183,21 @@
let embeddingcacheEmbeddingCount = document.getElementById("embeddingcacheEmbeddingCount");
showThrobber(embeddingcacheEmbeddingCount);
let embeddingcacheElementCountProgressBar = document.getElementById("embeddingcacheElementCountProgressBar");
let querycacheCount = document.getElementById("querycacheCount");
showThrobber(querycacheCount);
let querycacheMaxElementCount = document.getElementById("querycacheMaxElementCount");
showThrobber(querycacheMaxElementCount);
let querycacheMaxElementCountProgressBar = document.getElementById("querycacheMaxElementCountProgressBar");
let querycacheLoadedMaxElementCount = document.getElementById("querycacheLoadedMaxElementCount");
showThrobber(querycacheLoadedMaxElementCount);
let querycacheLoadedElementCountProgressBar = document.getElementById("querycacheLoadedElementCountProgressBar");
let serverMemorySize = document.getElementById("serverMemorySize");
showThrobber(serverMemorySize);
let serverDatabaseSize = document.getElementById("serverDatabaseSize");
showThrobber(serverDatabaseSize);
let healthchecksServer = document.getElementById("healthchecksServer");
let healthchecksAiProvider = document.getElementById("healthchecksAiProvider");
@@ -145,23 +208,38 @@
searchdomainCount.textContent = searchdomains.length;
});
getServerStats().then(result => {
let utilization = result.SizeInBytes;
let maxElementCount = result.MaxElementCount;
let elementCount = result.ElementCount;
let utilization = result.EmbeddingCacheUtilization;
let embeddingCacheMaxElementCount = result.EmbeddingCacheMaxElementCount;
let embeddingCacheElementCount = result.ElementCount;
let embeddingCount = result.EmbeddingsCount;
let entityCount = result.EntityCount;
let queryCacheUtilization = result.QueryCacheUtilization;
let queryCacheElementCount = result.QueryCacheElementCount;
let queryCacheMaxElementCountAll = result.QueryCacheMaxElementCountAll;
let queryCacheMaxElementCountLoadedSearchdomainsOnly = result.QueryCacheMaxElementCountLoadedSearchdomainsOnly;
hideThrobber(embeddingcacheSize);
embeddingcacheSize.textContent = NumberOfBytesAsHumanReadable(utilization);
hideThrobber(embeddingcacheElementCount);
embeddingcacheElementCount.textContent = `${elementCount.toLocaleString()} / ${maxElementCount.toLocaleString()}`;
embeddingcacheElementCount.textContent = `${embeddingCacheElementCount.toLocaleString()} / ${embeddingCacheMaxElementCount.toLocaleString()}`;
hideThrobber(embeddingcacheEmbeddingCount);
embeddingcacheEmbeddingCount.textContent = embeddingCount;
embeddingcacheElementCountProgressBar.style.width = `${elementCount / maxElementCount * 100}%`;
embeddingcacheElementCountProgressBar.style.width = `${embeddingCacheElementCount / embeddingCacheMaxElementCount * 100}%`;
hideThrobber(searchdomainEntityCount);
searchdomainEntityCount.textContent = entityCount;
hideThrobber(totalQuerycacheUtilization);
totalQuerycacheUtilization.textContent = NumberOfBytesAsHumanReadable(queryCacheUtilization);
hideThrobber(querycacheMaxElementCount);
querycacheCount.textContent = queryCacheElementCount;
hideThrobber(querycacheCount);
querycacheMaxElementCount.textContent = queryCacheMaxElementCountAll.toLocaleString();
querycacheMaxElementCountProgressBar.style.width = `${queryCacheElementCount / queryCacheMaxElementCountAll * 100}%`;
hideThrobber(querycacheLoadedMaxElementCount);
querycacheLoadedMaxElementCount.textContent = queryCacheMaxElementCountLoadedSearchdomainsOnly.toLocaleString();
querycacheLoadedMaxElementCountProgressBar.style.width = `${queryCacheElementCount / queryCacheMaxElementCountLoadedSearchdomainsOnly * 100}%`;
serverMemorySize.textContent = NumberOfBytesAsHumanReadable(result.RamTotalSize);
hideThrobber(serverMemorySize);
serverDatabaseSize.textContent = NumberOfBytesAsHumanReadable(result.DatabaseTotalSize);
hideThrobber(serverDatabaseSize);
});
getHealthCheckStatusAndApply(healthchecksServer, "/healthz/Database");
getHealthCheckStatusAndApply(healthchecksAiProvider, "/healthz/AIProvider");

View File

@@ -62,11 +62,24 @@
<!-- Settings -->
<div class="row align-items-center mb-3">
<h3>@T["Settings"]</h3>
<div class="col-md-6">
<div class="col-md-3">
<label class="form-check-label" for="searchdomainConfigQueryCacheSize">@T["Query cache size"]:</label>
<input type="number" class="form-control" id="searchdomainConfigQueryCacheSize" />
</div>
<div class="col-md-6 mt-3">
<input type="checkbox" class="form-check-input" id="searchdomainConfigCacheReconciliation" />
<label class="form-check-label" for="searchdomainConfigCacheReconciliation">@T["Cache reconciliation"]</label>
</div>
<div class="col-md-2 mt-3 mt-md-0">
<div class="col-md-6 mt-3">
<input type="checkbox" class="form-check-input" id="searchdomainConfigParallelEmbeddingsPrefetch" />
<label class="form-check-label" for="searchdomainConfigParallelEmbeddingsPrefetch">@T["Embeddings parallel prefetching"]</label>
<i class="bi bi-info-circle-fill text-info"
data-bs-toggle="tooltip"
title="@T["parallelEmbeddingsPrefetchInfo"]"></i>
</div>
</div>
<div class="row align-items-center mb-3">
<div class="col-md-2 mt-md-0">
<button class="btn btn-warning w-100" id="searchdomainConfigUpdate">@T["Update"]</button>
</div>
</div>
@@ -252,12 +265,13 @@
<!-- Results -->
<h3>@T["Results"]</h3>
<button class="btn btn-primary btn-sm" onclick="queryUpdateAddResult('', '', null, true)">@T["Add result"]</button>
<table class="table table-sm table-striped">
<thead>
<tr>
<th style="width: 85px;">@T["Score"]</th>
<th>@T["Name"]</th>
<th>@T["Action"]</th>
<th class="text-center">@T["Action"]</th>
</tr>
</thead>
<tbody id="queryUpdateResultsBody"></tbody>
@@ -347,10 +361,24 @@
</div>
<div class="modal-body">
<label for="createSearchdomainName" class="form-label">@T["Searchdomain name"]</label>
<input type="text" class="form-control mb-3" id="createSearchdomainName" placeholder="@T["Searchdomain name"]" />
<input type="checkbox" class="form-check-input" id="createSearchdomainWithCacheReconciliation" />
<label class="form-check-label" for="createSearchdomainWithCacheReconciliation">@T["Enable cache reconciliation"]</label>
<div class="row align-items-center mb-3">
<div class="col-md-12">
<label for="createSearchdomainName" class="form-label">@T["Searchdomain name"]</label>
<input type="text" class="form-control mb-3" id="createSearchdomainName" placeholder="@T["Searchdomain name"]" />
</div>
<div class="col-md-5">
<label class="form-check-label mb-2" for="createSearchdomainQueryCacheSize">@T["Query cache size"]:</label>
<input type="number" class="form-control" id="createSearchdomainQueryCacheSize" />
</div>
<div class="col-md-7 mt-3">
<input type="checkbox" class="form-check-input" id="createSearchdomainWithCacheReconciliation" />
<label class="form-check-label" for="createSearchdomainWithCacheReconciliation">@T["Enable cache reconciliation"]</label>
</div>
<div class="col-md-6 mt-3">
<input type="checkbox" class="form-check-input" id="createSearchdomainConfigParallelEmbeddingsPrefetch" />
<label class="form-check-label" for="createSearchdomainConfigParallelEmbeddingsPrefetch">@T["Embeddings parallel prefetching"]</label>
</div>
</div>
</div>
<div class="modal-footer">
@@ -656,7 +684,10 @@
queriesFilter.addEventListener('input', () => {
populateQueriesTable(queriesFilter.value);
});
selectDomain(0);
try
{
selectDomain(0);
} catch (error) {}
document
.getElementById('searchdomainRename')
@@ -694,7 +725,9 @@
.addEventListener('click', () => {
const domainKey = getSelectedDomainKey();
const cacheReconciliation = document.getElementById('searchdomainConfigCacheReconciliation').checked;
updateSearchdomainConfig(domainKey, { CacheReconciliation: cacheReconciliation});
const queryCacheSize = document.getElementById('searchdomainConfigQueryCacheSize').value;
const parallelEmbeddingsPrefetch = document.getElementById('searchdomainConfigParallelEmbeddingsPrefetch').checked;
updateSearchdomainConfig(domainKey, { CacheReconciliation: cacheReconciliation, QueryCacheSize: queryCacheSize, ParallelEmbeddingsPrefetch: parallelEmbeddingsPrefetch});
});
document
@@ -775,9 +808,10 @@
document.getElementById('createSearchdomainModal')
);
const name = document.getElementById('createSearchdomainName').value;
const queryCacheSize = document.getElementById('createSearchdomainQueryCacheSize').value;
const cacheReconciliation = document.getElementById('createSearchdomainWithCacheReconciliation').checked;
const settings = { CacheReconciliation: cacheReconciliation };
// Implement create logic here
const parallelEmbeddingsPrefetch = document.getElementById('createSearchdomainConfigParallelEmbeddingsPrefetch').checked;
const settings = { CacheReconciliation: cacheReconciliation, QueryCacheSize: queryCacheSize, ParallelEmbeddingsPrefetch: parallelEmbeddingsPrefetch };
fetch(`/Searchdomain?searchdomain=${encodeURIComponent(name)}`, {
method: 'POST',
headers: {
@@ -869,12 +903,12 @@
var data = [{
"name": name,
"probmethod": probMethod,
"searchdomain": encodeURIComponent(domains[getSelectedDomainKey()]),
"searchdomain": domains[getSelectedDomainKey()],
"attributes": attributes,
"datapoints": datapoints
}];
showToast("@T["Updating entity"]", "primary");
fetch(`/Entity`, {
fetch(`/Entities`, {
method: 'PUT',
headers: {
'Content-Type': 'application/json'
@@ -937,7 +971,7 @@
}).then(async response => {
result = await response.json();
if (response.ok && result.Success) {
showToast("@T["Searchdomain was created successfully"]", "success");
showToast("@T["Search query was updated successfully"]", "success");
console.log('Search query was updated successfully');
selectDomain(getSelectedDomainKey());
} else {
@@ -1053,7 +1087,12 @@
let searchdomainConfigPromise = getSearchdomainConfig(getSelectedDomainKey());
let configElementCachereconciliation = document.getElementById('searchdomainConfigCacheReconciliation');
let configElementCacheSize = document.getElementById('searchdomainConfigQueryCacheSize');
let configElementParallelEmbeddingsPrefetch = document.getElementById('searchdomainConfigParallelEmbeddingsPrefetch');
showThrobber(document.querySelector('#searchdomainConfigQueryCacheSize'), true);
showThrobber(document.querySelector('#searchdomainConfigCacheReconciliation'), true);
showThrobber(document.querySelector('#searchdomainConfigParallelEmbeddingsPrefetch'), true);
let cacheUtilizationPromise = getSearchdomainCacheUtilization(getSelectedDomainKey());
let databaseUtilizationPromise = getSearchdomainDatabaseUtilization(getSelectedDomainKey());
@@ -1095,10 +1134,15 @@
});
searchdomainConfigPromise.then(searchdomainConfig => {
hideThrobber(document.querySelector('#searchdomainConfigCacheReconciliation'), true);
hideThrobber(document.querySelector('#searchdomainConfigParallelEmbeddingsPrefetch'), true);
if (searchdomainConfig != null && searchdomainConfig.Settings != null)
{
configElementCacheSize.value = searchdomainConfig.Settings.QueryCacheSize;
configElementCachereconciliation.checked = searchdomainConfig.Settings.CacheReconciliation;
configElementCachereconciliation.disabled = false;
configElementParallelEmbeddingsPrefetch.checked = searchdomainConfig.Settings.ParallelEmbeddingsPrefetch;
} else {
configElementCachereconciliation.disabled = true;
showToast("@T["Unable to fetch searchdomain config"]", "danger");
@@ -1106,10 +1150,11 @@
}
});
cacheUtilizationPromise.then(cacheUtilization => {
if (cacheUtilization != null && cacheUtilization.QueryCacheSizeBytes != null)
hideThrobber(document.querySelector('#searchdomainConfigQueryCacheSize'), true);
if (cacheUtilization != null && cacheUtilization.SizeBytes != null)
{
document.querySelector('#cacheUtilization').innerText =
`${NumberOfBytesAsHumanReadable(cacheUtilization.QueryCacheSizeBytes)}`;
`${NumberOfBytesAsHumanReadable(cacheUtilization.SizeBytes)}`;
} else {
showToast("@T["Unable to fetch searchdomain cache utilization"]", "danger");
console.error('Failed to fetch searchdomain cache utilization');
@@ -1289,14 +1334,30 @@
domainItem.classList.add('list-group-item-danger');
}
function showThrobber(element = null) {
function showThrobber(element = null, direct = false) {
if (element == null) element = document;
element.querySelector('.spinner').classList.remove('d-none');
if (direct) {
let spinner = document.createElement('div');
spinner.classList.add('spinner');
spinner.style.position = "absolute";
spinner.style.marginTop = "0.5rem";
spinner.style.marginLeft = "0.5rem";
element.style.opacity = "0.25";
element.parentElement.insertBefore(spinner, element);
} else {
element.querySelector('.spinner').classList.remove('d-none');
}
}
function hideThrobber(element = null) {
function hideThrobber(element = null, direct = false) {
if (element == null) element = document;
element.querySelector('.spinner').classList.add('d-none');
if (direct) {
element.previousElementSibling.remove()
element.style.opacity = "1";
} else {
element.querySelector('.spinner').classList.add('d-none');
}
}
function showEntityDetails(entity) {
@@ -1434,28 +1495,7 @@
</tr>`;
} else {
query.Results.forEach(r => {
const row = document.createElement('tr');
row.setAttribute("draggable", true);
const tdScore = document.createElement('td');
const scoreInput = document.createElement('input');
scoreInput.classList.add('form-control');
scoreInput.value = r.Score.toFixed(4);
tdScore.append(scoreInput);
const tdName = document.createElement('td');
tdName.classList.add("text-break");
tdName.innerText = r.Name;
const tdAction = document.createElement('td');
const deleteButton = document.createElement('button');
deleteButton.classList.add('btn', 'btn-danger', 'btn-sm');
deleteButton.innerText = '@Html.Raw(T["Delete"])';
deleteButton.onclick = function() {
row.remove();
};
tdAction.append(deleteButton);
row.append(tdScore);
row.append(tdName);
row.append(tdAction);
resultsBody.appendChild(row);
queryUpdateAddResult(r.Score.toFixed(4), r.Name, resultsBody);
});
}
@@ -1466,6 +1506,66 @@
modal.show();
}
function queryUpdateAddResult(score, name, target=null, insertAtTop=false) {
target = target ?? document.getElementById('queryUpdateResultsBody');
const row = document.createElement('tr');
row.setAttribute("draggable", true);
const tdScore = document.createElement('td');
const scoreInput = document.createElement('input');
scoreInput.classList.add('form-control');
scoreInput.value = score;
scoreInput.ariaLabel = "@T["Score"]";
tdScore.append(scoreInput);
const tdName = document.createElement('td');
const tdNameInput = document.createElement('input');
tdNameInput.classList.add("form-control");
tdNameInput.value = name;
tdNameInput.ariaLabel = "@T["Name"]";
tdName.append(tdNameInput);
const tdAction = document.createElement('td');
tdAction.classList.add('text-center');
const upButton = document.createElement('button');
upButton.classList.add('btn', 'btn-primary', 'btn-sm');
upButton.innerText = '↑';
upButton.onclick = function() {
const currentRow = this.closest('tr');
const previousRow = currentRow.previousElementSibling;
if (previousRow) {
target.insertBefore(currentRow, previousRow);
}
};
const downButton = document.createElement('button');
downButton.classList.add('btn', 'btn-primary', 'btn-sm', 'mx-1');
downButton.innerText = '↓';
downButton.onclick = function() {
const currentRow = this.closest('tr');
const nextRow = currentRow.nextElementSibling;
if (nextRow) {
target.insertBefore(nextRow, currentRow);
}
};
const deleteButton = document.createElement('button');
deleteButton.classList.add('btn', 'btn-danger', 'btn-sm', 'mx-2');
deleteButton.innerText = '@Html.Raw(T["Delete"])';
deleteButton.onclick = function() {
row.remove();
};
tdAction.append(upButton);
tdAction.append(downButton);
tdAction.append(deleteButton);
row.append(tdScore);
row.append(tdName);
row.append(tdAction);
if (!insertAtTop) {
target.appendChild(row);
} else {
target.insertBefore(row, target.firstChild);
}
}
function NumberOfBytesAsHumanReadable(bytes, decimals = 2) {
if (bytes === 0) return '0 B';
if (bytes > 1.20892581961*(10**27)) return "∞ B";
@@ -1672,7 +1772,7 @@
// Get the text content from the second cell (index 1) which contains the path
const score = parseFloat(cells[0].firstChild.value);
const name = cells[1].textContent.trim();
const name = cells[1].firstChild.value;
result.push({
"Score": score,

View File

@@ -12,6 +12,7 @@
<meta name="description" content="Embeddingsearch server" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>@ViewData["Title"] - embeddingsearch</title>
<link rel="preload" href="~/fonts/bootstrap-icons.woff2" as="font" type="font/woff2" crossorigin="anonymous"/>
@if (!Context.Request.Query.ContainsKey("renderRaw") && !Context.Request.Query.ContainsKey("noCriticalCSS"))
{
<link rel="preload" href="~/lib/bootstrap/dist/css/bootstrap.min.css" as="style"/>
@@ -51,7 +52,9 @@
<header>
<nav class="navbar navbar-expand-sm navbar-toggleable-sm navbar-light border-bottom box-shadow mb-3">
<div class="container-fluid">
<a class="navbar-brand" asp-area="" asp-controller="Home" asp-action="Index">embeddingsearch</a>
<a class="navbar-brand" asp-area="" asp-controller="Home" asp-action="Index">
<img fetchpriority="high" alt="Logo" src="/logo.png" width="40" height="40" style="width: 40px; height: 40px;">
</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target=".navbar-collapse" aria-controls="navbarSupportedContent"
aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
@@ -68,17 +71,20 @@
</li>
@if (User.IsInRole("Admin") || User.IsInRole("Swagger"))
{
<li class="nav-item">
<a class="nav-link text" href="/swagger/index.html?ReturnUrl=@(currentUrl)">@T["Swagger"]</a>
<li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="#" id="navbarDropdownMenuLink" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
@T["Tools"]
</a>
<div class="dropdown-menu" aria-labelledby="navbarDropdownMenuLink">
<a class="dropdown-item" href="/swagger/index.html?ReturnUrl=@(currentUrl)">@T["Swagger"]</a>
@if (User.IsInRole("Admin"))
{
<a class="dropdown-item" href="/elmah?ReturnUrl=@(currentUrl)">@T["Elmah"]</a>
}
</div>
</li>
}
@if (User.IsInRole("Admin"))
{
<li class="nav-item">
<a class="nav-link text" href="/elmah?ReturnUrl=@(currentUrl)">@T["Elmah"]</a>
</li>
}
<li class="nav-item">
<li class="nav-item ms-auto">
<a class="nav-link text" asp-area="" asp-controller="Account" asp-action="Logout">@T["Logout"]</a>
</li>
}

View File

@@ -15,12 +15,12 @@
"Embeddingsearch": {
"ConnectionStrings": {
"SQL": "server=localhost;database=embeddingsearch;uid=embeddingsearch;pwd=somepassword!;"
"SQL": "server=localhost;database=embeddingsearch;uid=embeddingsearch;pwd=somepassword!;",
"Cache": "Data Source=embeddings.db;Mode=ReadWriteCreate;Cache=Shared"
},
"Elmah": {
"LogPath": "~/logs"
},
"EmbeddingCacheMaxCount": 10000000,
"AiProviders": {
"ollama": {
"handler": "ollama",
@@ -46,6 +46,11 @@
]
},
"ApiKeys": ["Some UUID here", "Another UUID here"],
"UseHttpsRedirection": true
"UseHttpsRedirection": true,
"Cache": {
"CacheTopN": 100000,
"StoreEmbeddingCache": true,
"StoreTopN": 20000
}
}
}

View File

@@ -15,27 +15,41 @@
"UseSwagger": true,
"Embeddingsearch": {
"ConnectionStrings": {
"SQL": "server=localhost;database=embeddingsearch;uid=embeddingsearch;pwd=somepassword!;"
"SQL": "server=localhost;database=embeddingsearch;uid=embeddingsearch;pwd=somepassword!;",
"Cache": "Data Source=embeddings.db;Mode=ReadWriteCreate;Cache=Shared"
},
"Elmah": {
"AllowedHosts": [
"127.0.0.1",
"::1",
"172.17.0.1"
]
"LogPath": "~/logs"
},
"AiProviders": {
"ollama": {
"handler": "ollama",
"baseURL": "http://localhost:11434"
"baseURL": "http://localhost:11434",
"Allowlist": [".*"],
"Denylist": ["qwen3-coder:latest", "qwen3:0.6b", "qwen3-vl", "deepseek-ocr"]
},
"localAI": {
"handler": "openai",
"baseURL": "http://localhost:8080",
"ApiKey": "Some API key here"
"ApiKey": "Some API key here",
"Allowlist": [".*"],
"Denylist": ["cross-encoder", "jina-reranker-v1-tiny-en", "whisper-small"]
}
},
"ApiKeys": ["Some UUID here", "Another UUID here"],
"UseHttpsRedirection": true
"SimpleAuth": {
"Users": [
{
"Username": "admin",
"Password": "UnsafePractice.67",
"Roles": ["Admin"]
}
]
},
"ApiKeys": ["APIKeyOfYourChoice", "AnotherOneIfYouLike"],
"Cache": {
"CacheTopN": 10000,
"StoreEmbeddingCache": true,
"StoreTopN": 10000
}
}
}

View File

@@ -16,5 +16,8 @@
"Application": "Embeddingsearch.Server"
}
},
"Embeddingsearch": {
"MaxRequestBodySize": 524288000
},
"AllowedHosts": "*"
}

View File

@@ -79,4 +79,8 @@ url("/fonts/bootstrap-icons.woff") format("woff");
td.btn-group {
display: revert;
min-width: 15rem;
}
[data-bs-theme="light"] img[alt="Logo"] {
filter: invert(100%);
}

View File

@@ -48,4 +48,14 @@ function showToast(message, type) {
const bsToast = new bootstrap.Toast(toast, { delay: 10000 });
bsToast.show();
toast.addEventListener('hidden.bs.toast', () => toast.remove());
}
}
document.addEventListener('DOMContentLoaded', async () => {
// Initialize all tooltips
var tooltipTriggerList = [].slice.call(document.querySelectorAll('[data-bs-toggle="tooltip"]'))
var tooltipList = tooltipTriggerList.map(function (tooltipTriggerEl) {
let retVal = new bootstrap.Tooltip(tooltipTriggerEl);
tooltipTriggerEl.role = "tooltip";
return retVal;
});
});

View File

Before

Width:  |  Height:  |  Size: 9.1 KiB

After

Width:  |  Height:  |  Size: 9.1 KiB

240
src/Shared/LRUCache.cs Normal file
View File

@@ -0,0 +1,240 @@
namespace Shared;
public sealed class EnumerableLruCache<TKey, TValue> where TKey : notnull
{
private sealed record CacheItem(TKey Key, TValue Value);
private readonly Dictionary<TKey, LinkedListNode<CacheItem>> _map;
private readonly LinkedList<CacheItem> _lruList;
private readonly ReaderWriterLockSlim _lock = new();
private int _capacity;
public EnumerableLruCache(int capacity)
{
if (capacity <= 0)
throw new ArgumentOutOfRangeException(nameof(capacity));
_capacity = capacity;
_map = new Dictionary<TKey, LinkedListNode<CacheItem>>(capacity);
_lruList = new LinkedList<CacheItem>();
}
public int Capacity
{
get
{
_lock.EnterReadLock();
try
{
return _capacity;
}
finally
{
_lock.ExitReadLock();
}
}
set
{
ArgumentOutOfRangeException.ThrowIfNegativeOrZero(value);
_lock.EnterWriteLock();
try
{
_capacity = value;
TrimIfNeeded();
}
finally
{
_lock.ExitWriteLock();
}
}
}
public int Count
{
get
{
_lock.EnterReadLock();
try
{
return _map.Count;
}
finally
{
_lock.ExitReadLock();
}
}
}
public TValue this[TKey key]
{
get
{
if (!TryGetValue(key, out var value))
throw new KeyNotFoundException();
return value!;
}
set => Set(key, value);
}
public bool TryGetValue(TKey key, out TValue? value)
{
_lock.EnterUpgradeableReadLock();
try
{
if (!_map.TryGetValue(key, out var node))
{
value = default;
return false;
}
value = node.Value.Value;
// LRU aktualisieren
_lock.EnterWriteLock();
try
{
_lruList.Remove(node);
_lruList.AddFirst(node);
}
finally
{
_lock.ExitWriteLock();
}
return true;
}
finally
{
_lock.ExitUpgradeableReadLock();
}
}
public void Set(TKey key, TValue value)
{
_lock.EnterWriteLock();
try
{
if (_map.TryGetValue(key, out var existing))
{
// Update + nach vorne
existing.Value = existing.Value with { Value = value };
_lruList.Remove(existing);
_lruList.AddFirst(existing);
return;
}
var item = new CacheItem(key, value);
var node = new LinkedListNode<CacheItem>(item);
_lruList.AddFirst(node);
_map[key] = node;
TrimIfNeeded();
}
finally
{
_lock.ExitWriteLock();
}
}
public bool Remove(TKey key)
{
_lock.EnterWriteLock();
try
{
if (!_map.TryGetValue(key, out var node))
return false;
_lruList.Remove(node);
_map.Remove(key);
return true;
}
finally
{
_lock.ExitWriteLock();
}
}
public bool ContainsKey(TKey key)
{
_lock.EnterReadLock();
try
{
return _map.ContainsKey(key);
}
finally
{
_lock.ExitReadLock();
}
}
public Dictionary<TKey, TValue> AsDictionary()
{
_lock.EnterReadLock();
try
{
return _map.Values.ToDictionary(
n => n.Value.Key,
n => n.Value.Value
);
}
finally
{
_lock.ExitReadLock();
}
}
public IEnumerable<KeyValuePair<TKey, TValue>> Items()
{
_lock.EnterReadLock();
try
{
foreach (var item in _lruList)
{
yield return new KeyValuePair<TKey, TValue>(item.Key, item.Value);
}
}
finally
{
_lock.ExitReadLock();
}
}
public IEnumerator<KeyValuePair<TKey, TValue>> GetEnumerator()
{
List<KeyValuePair<TKey, TValue>> snapshot;
_lock.EnterReadLock();
try
{
snapshot = new List<KeyValuePair<TKey, TValue>>(_map.Count);
foreach (var item in _lruList)
{
snapshot.Add(new KeyValuePair<TKey, TValue>(
item.Key,
item.Value
));
}
}
finally
{
_lock.ExitReadLock();
}
return snapshot.GetEnumerator();
}
private void TrimIfNeeded()
{
while (_map.Count > _capacity)
{
var lruNode = _lruList.Last!;
_lruList.RemoveLast();
_map.Remove(lruNode.Value.Key);
}
}
}

View File

@@ -20,6 +20,23 @@ public class EntityQueryResult
public Dictionary<string, string>? Attributes { get; set; }
}
public class EntityRerankResults : SuccesMessageBaseModel
{
[JsonPropertyName("Results")]
public required List<EntityRerankResult> Results { get; set; }
}
public class EntityRerankResult
{
[JsonPropertyName("Name")]
public required string Name { get; set; }
[JsonPropertyName("Value")]
public float Value { get; set; }
[JsonPropertyName("Attributes")]
[JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)]
public Dictionary<string, string>? Attributes { get; set; }
}
public class EntityIndexResult : SuccesMessageBaseModel {}
public class EntityListResults

View File

@@ -95,10 +95,14 @@ public struct DateTimedSearchResult(DateTime dateTime, List<ResultItem> results)
}
}
public struct SearchdomainSettings(bool cacheReconciliation = false)
public struct SearchdomainSettings(bool cacheReconciliation = false, int queryCacheSize = 1_000_000, bool parallelEmbeddingsPrefetch = false)
{
[JsonPropertyName("CacheReconciliation")]
public bool CacheReconciliation { get; set; } = cacheReconciliation;
[JsonPropertyName("QueryCacheSize")]
public int QueryCacheSize { get; set; } = queryCacheSize;
[JsonPropertyName("ParallelEmbeddingsPrefetch")]
public bool ParallelEmbeddingsPrefetch { get; set; } = parallelEmbeddingsPrefetch;
}
public static class MemorySizes

View File

@@ -1,4 +1,5 @@
using System.Text.Json.Serialization;
using Shared;
namespace Shared.Models;
@@ -25,7 +26,7 @@ public class SearchdomainDeleteResults : SuccesMessageBaseModel
public required int DeletedEntities { get; set; }
}
public class SearchdomainSearchesResults : SuccesMessageBaseModel
public class SearchdomainQueriesResults : SuccesMessageBaseModel
{
[JsonPropertyName("Searches")]
public required Dictionary<string, DateTimedSearchResult> Searches { get; set; }
@@ -41,10 +42,14 @@ public class SearchdomainSettingsResults : SuccesMessageBaseModel
public required SearchdomainSettings? Settings { get; set; }
}
public class SearchdomainSearchCacheSizeResults : SuccesMessageBaseModel
public class SearchdomainQueryCacheSizeResults : SuccesMessageBaseModel
{
[JsonPropertyName("QueryCacheSizeBytes")]
public required long? QueryCacheSizeBytes { get; set; }
[JsonPropertyName("ElementCount")]
public required int? ElementCount { get; set; }
[JsonPropertyName("ElementMaxCount")]
public required int? ElementMaxCount { get; set; }
[JsonPropertyName("SizeBytes")]
public required long? SizeBytes { get; set; }
}
public class SearchdomainInvalidateCacheResults : SuccesMessageBaseModel {}

View File

@@ -10,16 +10,26 @@ public class ServerGetModelsResult : SuccesMessageBaseModel
public class ServerGetStatsResult : SuccesMessageBaseModel
{
[JsonPropertyName("SizeInBytes")]
public long? SizeInBytes { get; set; }
[JsonPropertyName("MaxElementCount")]
public long? MaxElementCount { get; set; }
[JsonPropertyName("EmbeddingCacheUtilization")]
public long? EmbeddingCacheUtilization { get; set; }
[JsonPropertyName("EmbeddingCacheMaxElementCount")]
public long? EmbeddingCacheMaxElementCount { get; set; }
[JsonPropertyName("ElementCount")]
public long? ElementCount { get; set; }
public long? EmbeddingCacheElementCount { get; set; }
[JsonPropertyName("EmbeddingsCount")]
public long? EmbeddingsCount { get; set; }
[JsonPropertyName("EntityCount")]
public long? EntityCount { get; set; }
[JsonPropertyName("QueryCacheElementCount")]
public long? QueryCacheElementCount { get; set; }
[JsonPropertyName("QueryCacheMaxElementCountAll")]
public long? QueryCacheMaxElementCountAll { get; set; }
[JsonPropertyName("QueryCacheMaxElementCountLoadedSearchdomainsOnly")]
public long? QueryCacheMaxElementCountLoadedSearchdomainsOnly { get; set; }
[JsonPropertyName("QueryCacheUtilization")]
public long? QueryCacheUtilization { get; set; }
[JsonPropertyName("DatabaseTotalSize")]
public long? DatabaseTotalSize { get; set; }
[JsonPropertyName("RamTotalSize")]
public long? RamTotalSize { get; set; }
}

View File

@@ -1,7 +1,7 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<TargetFramework>net10.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
</PropertyGroup>