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42
CHANGELOG.md
42
CHANGELOG.md
@@ -1,3 +1,45 @@
|
||||
# (2025-12-21) Version 1.12.0
|
||||
|
||||
- (**Improvement**) Upgrade [async-openai](https://crates.io/crates/async-openai) (0.31.1 -> 0.32.2) and add support for OpenAI's `gpt-image-1.5` model ([08c689a](https://github.com/etkecc/baibot/commit/08c689a), [f7bf3d7](https://github.com/etkecc/baibot/commit/f7bf3d7))
|
||||
|
||||
- (**Internal Improvement**) Dependency updates
|
||||
|
||||
|
||||
# (2025-12-15) Version 1.11.0
|
||||
|
||||
- (**Feature**) Add support for custom avatars via file path and for keeping the already-set avatar (for those who wish to manage it by themselves via other means). See the [sample config](./etc/app/config.yml.dist) for details. ([062fbbb](https://github.com/etkecc/baibot/commit/062fbbb8ef9ad600db483a431c5c782402191023))
|
||||
|
||||
- (**Internal Improvement**) Dependency updates ([99bde53](https://github.com/etkecc/baibot/commit/99bde53ef648a5a9086a96778fde4a9dbc1ede58))
|
||||
|
||||
- (**Internal Improvement**) Documentation updates ([b3fd8e5](https://github.com/etkecc/baibot/commit/b3fd8e548f83fe46398ced4760d7e2bb7588c24d))
|
||||
|
||||
- (**Internal Improvement**) Upgrade Rust compiler (1.91.1 -> 1.92.0) ([22906aa](https://github.com/etkecc/baibot/commit/22906aa2d3cae51815fad2560a545eaa69c247b6))
|
||||
|
||||
|
||||
# (2025-12-06) Version 1.10.0
|
||||
|
||||
- (**Internal Improvement**) Dependency updates. This version is based on [mxlink](https://crates.io/crates/mxlink)@1.11.0 (which is based on the newly released [matrix-sdk](https://crates.io/crates/matrix-sdk)@[0.16.0](https://github.com/matrix-org/matrix-rust-sdk/releases/tag/matrix-sdk-0.16.0).
|
||||
|
||||
# (2025-11-30) Version 1.9.0
|
||||
|
||||
- (**Internal Improvement**) Upgrade [async-openai](https://crates.io/crates/async-openai) from our own etkecc fork (0.28.1-patched) to the official upstream version 0.31.1. This upgrade required some code adaptations to the new module structure, etc. While tested, regressions are possible.
|
||||
|
||||
# (2025-11-28) Version 1.8.3
|
||||
|
||||
- (**Improvement**) Add support for the `BAIBOT_PERSISTENCE_SESSION_ENCRYPTION_KEY` environment variable for configuring `persistence.session_encryption_key`
|
||||
|
||||
- (**Improvement**) Add support for the `BAIBOT_USER_ENCRYPTION_RECOVERY_RESET_ALLOWED` environment variable for configuring `user.encryption.recovery_reset_allowed`
|
||||
|
||||
- (**Internal Improvement**) Dependency updates.
|
||||
|
||||
# (2025-11-20) Version 1.8.2
|
||||
|
||||
- (**Internal Improvement**) Dependency and compiler updates (Rust 1.89.0 -> 1.91.1).
|
||||
|
||||
# (2025-09-12) Version 1.8.1
|
||||
|
||||
- (**Internal Improvement**) Dependency updates.
|
||||
|
||||
# (2025-09-08) Version 1.8.0
|
||||
|
||||
- (**Internal Improvement**) Upgrade [mxlink](https://crates.io/crates/mxlink) (1.9.0 -> 1.10.0) and [matrix-sdk](https://crates.io/crates/matrix-sdk) (0.13.0 -> 0.14.0)
|
||||
|
||||
1853
Cargo.lock
generated
1853
Cargo.lock
generated
File diff suppressed because it is too large
Load Diff
17
Cargo.toml
17
Cargo.toml
@@ -7,7 +7,7 @@ license = "AGPL-3.0-or-later"
|
||||
readme = "README.md"
|
||||
keywords = ["matrix", "chat", "bot", "AI", "LLM"]
|
||||
include = ["/etc/assets/baibot-torso-768.png", "/src", "/README.md", "/CHANGELOG.md", "/LICENSE"]
|
||||
version = "1.8.0"
|
||||
version = "1.12.0"
|
||||
edition = "2024"
|
||||
|
||||
[lib]
|
||||
@@ -17,23 +17,24 @@ path = "src/lib.rs"
|
||||
[dependencies]
|
||||
anthropic = { git = "https://github.com/etkecc/anthropic-rs.git", branch = "fix-content-block-image" }
|
||||
anyhow = "1.0.*"
|
||||
async-openai = { git = "https://github.com/etkecc/async-openai", branch = "async-openai-v0.28.1-patched" }
|
||||
async-openai = { version = "0.32.2", features = ["audio", "chat-completion", "image"] }
|
||||
base64 = "0.22.*"
|
||||
chrono = { version = "0.4.*", default-features = false, features = ["std", "now"] }
|
||||
# We'd rather not depend on this, but we cannot use the ruma-events EventContent macro without it.
|
||||
# We add the `native-tls` feature, because of https://github.com/etkecc/rust-mxlink/issues/1
|
||||
matrix-sdk = { version = "0.14.0", default-features = false, features = ["native-tls"] }
|
||||
matrix-sdk = { version = "0.16.0", default-features = false, features = ["native-tls"] }
|
||||
mime_guess = "2.0.*"
|
||||
mxidwc = "1.0.*"
|
||||
mxlink = ">=1.10.0"
|
||||
mxlink = ">=1.11.0"
|
||||
etke_openai_api_rust = "0.1.*"
|
||||
quick_cache = "0.6.*"
|
||||
regex = "1.11.*"
|
||||
regex = "1.12.*"
|
||||
serde = { version = "1.0.*", features = ["derive"], default-features = false }
|
||||
serde_json = "1.0.*"
|
||||
serde_yaml = "0.9.*"
|
||||
tempfile = "3.21.*"
|
||||
tiktoken-rs = { version = "0.7.*", default-features = false }
|
||||
tokio = { version = "1.47.*", features = ["rt", "rt-multi-thread", "macros"] }
|
||||
tempfile = "3.23.*"
|
||||
tiktoken-rs = { version = "0.9.*", default-features = false }
|
||||
tokio = { version = "1.48.*", features = ["rt", "rt-multi-thread", "macros"] }
|
||||
tracing = "0.1.*"
|
||||
tracing-subscriber = { version = "0.3.*", features = ["env-filter"] }
|
||||
url = "2.5.*"
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
# #
|
||||
#######################################
|
||||
|
||||
FROM docker.io/rust:1.89.0-slim-trixie AS build
|
||||
FROM docker.io/rust:1.92.0-slim-trixie AS build
|
||||
|
||||
RUN apt-get update && apt-get install -y build-essential pkg-config libssl-dev libsqlite3-dev
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
# #
|
||||
#######################################
|
||||
|
||||
FROM docker.io/rust:1.89.0-slim-trixie AS build
|
||||
FROM docker.io/rust:1.92.0-slim-trixie AS build
|
||||
|
||||
RUN apt-get update && apt-get install -y build-essential pkg-config libssl-dev libsqlite3-dev
|
||||
|
||||
|
||||
@@ -43,7 +43,8 @@ Administrators cannot be changed without adjusting the bot's configuration on th
|
||||
|
||||
Room-local agent managers are users privileged to **create their own [agents](./agents.md)** (see `!bai agent`) in rooms.
|
||||
|
||||
**⚠️ WARNING**: Letting regular users create agents which contact arbitrary network services **may be a security issue**.
|
||||
> [!WARNING]
|
||||
> Letting regular users create agents which contact arbitrary network services **may be a security issue**.
|
||||
|
||||
The following commands are available:
|
||||
- **Show** the currently allowed users: `!bai access room-local-agent-managers`
|
||||
|
||||
@@ -12,12 +12,15 @@ This file is created from the template found in [etc/app/config.yml.dist](../../
|
||||
|
||||
Certain keys can be left unset, in which case [📝 hardcoded defaults](../../src/entity/cfg/defaults.rs) would be used.
|
||||
|
||||
Each configuration key found in the YAML configuration can be overridden by setting an environment variable (dots should be replaced with `_`). Example:
|
||||
Some configuration keys found in the YAML configuration can be overridden by setting an environment variable (dots should be replaced with `_`). Example:
|
||||
|
||||
- to override `command_prefix`, set an environment variable `BAIBOT_COMMAND_PREFIX`
|
||||
- to override `homeserver.server_name`, set an environment variable `BAIBOT_HOMESERVER_SERVER_NAME`
|
||||
|
||||
The static configuration contains an `initial_global_config` key, which is used to populate the bot's global configuration (stored as [dynamic configuration](#dynamic-configuration)) the first time the bot starts. Modifying this subsequently will not have any effect. After initial global configuration creation, it's expected to be managed dynamically via chat commands.
|
||||
You can see the list of supported environment variables in the [🦀 src/entity/cfg/env.rs](../../src/entity/cfg/env.rs) file.
|
||||
|
||||
> [!WARNING]
|
||||
> The static configuration contains an `initial_global_config` key, which is used to populate the bot's global configuration (stored as [dynamic configuration](#dynamic-configuration)) the first time the bot starts. Modifying this subsequently will not have any effect. After initial global configuration creation, it's expected to be managed dynamically via chat commands.
|
||||
|
||||
|
||||
### Dynamic configuration
|
||||
|
||||
@@ -125,10 +125,7 @@ For services which are not fully compatible with the OpenAI API, consider using
|
||||
- create a room-local agent: `!bai agent create-room-local openai my-openai-agent`
|
||||
- create a global agent: `!bai agent create-global openai my-openai-agent`
|
||||
|
||||
💡 When creating an agent, the bot will show you an up-to-date sample configuration for this provider which:
|
||||
|
||||
- in the general case looks [like this](./sample-provider-configs/openai.yml)
|
||||
- for the [o1](https://platform.openai.com/docs/models/o1) models needs to look [like this](./sample-provider-configs/openai-o1.yml)
|
||||
💡 When creating an agent, the bot will show you an up-to-date sample configuration for this provider which looks [like this](./sample-provider-configs/openai.yml).
|
||||
|
||||
|
||||
### OpenAI Compatible
|
||||
|
||||
@@ -1,24 +0,0 @@
|
||||
base_url: https://api.openai.com/v1
|
||||
api_key: YOUR_API_KEY_HERE
|
||||
text_generation:
|
||||
model_id: o1-mini
|
||||
# o1 models do not support a system prompt
|
||||
prompt: null
|
||||
temperature: 1.0
|
||||
# o1 models do not support max_response_tokens.
|
||||
# They use `max_completion_tokens` as an alternative
|
||||
max_response_tokens: null
|
||||
max_completion_tokens: 16384
|
||||
max_context_tokens: 128000
|
||||
speech_to_text:
|
||||
model_id: whisper-1
|
||||
text_to_speech:
|
||||
model_id: tts-1-hd
|
||||
voice: onyx
|
||||
speed: 1.0
|
||||
response_format: opus
|
||||
image_generation:
|
||||
model_id: gpt-image-1
|
||||
style: null
|
||||
size: null
|
||||
quality: null
|
||||
@@ -1,11 +1,14 @@
|
||||
base_url: https://api.openai.com/v1
|
||||
api_key: YOUR_API_KEY_HERE
|
||||
text_generation:
|
||||
model_id: gpt-5
|
||||
model_id: gpt-5.2
|
||||
prompt: "You are a brief, but helpful bot called {{ baibot_name }} powered by the {{ baibot_model_id }} model. The date/time of this conversation's start is: {{ baibot_conversation_start_time_utc }}."
|
||||
temperature: 1.0
|
||||
max_response_tokens: 16384
|
||||
max_context_tokens: 128000
|
||||
# Reasoning models need to use `max_completion_tokens` instead of `max_response_tokens`.
|
||||
# If you're dealing with a non-reasoning model, specify `max_response_tokens` and unset `max_completion_tokens`.
|
||||
max_response_tokens: null
|
||||
max_completion_tokens: 128000
|
||||
max_context_tokens: 400000
|
||||
speech_to_text:
|
||||
model_id: whisper-1
|
||||
text_to_speech:
|
||||
@@ -14,7 +17,7 @@ text_to_speech:
|
||||
speed: 1.0
|
||||
response_format: opus
|
||||
image_generation:
|
||||
model_id: gpt-image-1
|
||||
model_id: gpt-image-1.5
|
||||
style: null
|
||||
size: null
|
||||
quality: null
|
||||
|
||||
@@ -11,6 +11,12 @@ user:
|
||||
# Leave empty to use the default (baibot).
|
||||
name: baibot
|
||||
|
||||
# An optional path to an image file to be used as a custom avatar image.
|
||||
# - null or empty string: use the default avatar
|
||||
# - "keep": don't touch the avatar, keep whatever is already set
|
||||
# - any other value: path to a custom avatar image file
|
||||
avatar: null
|
||||
|
||||
encryption:
|
||||
# An optional passphrase to use for backing up and recovering the bot's encryption keys.
|
||||
# You can use any string here.
|
||||
@@ -76,11 +82,12 @@ agents:
|
||||
# base_url: https://api.openai.com/v1
|
||||
# api_key: ""
|
||||
# text_generation:
|
||||
# model_id: gpt-5
|
||||
# model_id: gpt-5.2
|
||||
# prompt: "You are a brief, but helpful bot called {{ baibot_name }} powered by the {{ baibot_model_id }} model. The date/time of this conversation's start is: {{ baibot_conversation_start_time_utc }}."
|
||||
# temperature: 1.0
|
||||
# max_response_tokens: ~
|
||||
# # Reasoning models need to use `max_completion_tokens` instead of `max_response_tokens`.
|
||||
# # If you're dealing with a non-reasoning model, specify `max_response_tokens` and unset `max_completion_tokens`.
|
||||
# max_response_tokens: null
|
||||
# max_completion_tokens: 128000
|
||||
# max_context_tokens: 400000
|
||||
# speech_to_text:
|
||||
@@ -91,7 +98,7 @@ agents:
|
||||
# speed: 1.0
|
||||
# response_format: opus
|
||||
# image_generation:
|
||||
# model_id: gpt-image-1
|
||||
# model_id: gpt-image-1.5
|
||||
# style: null
|
||||
# size: null
|
||||
# quality: null
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
services:
|
||||
postgres:
|
||||
image: docker.io/postgres:17.6-alpine
|
||||
image: docker.io/postgres:18.1-alpine
|
||||
user: ${UID}:${GID}
|
||||
restart: unless-stopped
|
||||
environment:
|
||||
@@ -8,12 +8,13 @@ services:
|
||||
POSTGRES_PASSWORD: synapse-password
|
||||
POSTGRES_DB: homeserver
|
||||
POSTGRES_INITDB_ARGS: --lc-collate C --lc-ctype C --encoding UTF8
|
||||
PGDATA: /data
|
||||
volumes:
|
||||
- ./postgres:/var/lib/postgresql/data
|
||||
- ./postgres:/data
|
||||
- /etc/passwd:/etc/passwd:ro
|
||||
|
||||
synapse:
|
||||
image: ghcr.io/element-hq/synapse:v1.137.0
|
||||
image: ghcr.io/element-hq/synapse:v1.144.0
|
||||
user: "${UID}:${GID}"
|
||||
restart: unless-stopped
|
||||
entrypoint: python
|
||||
@@ -26,7 +27,7 @@ services:
|
||||
- ./synapse/media-store:/media-store
|
||||
|
||||
element-web:
|
||||
image: ghcr.io/element-hq/element-web:v1.11.110
|
||||
image: ghcr.io/element-hq/element-web:v1.12.7
|
||||
user: "${UID}:${GID}"
|
||||
restart: unless-stopped
|
||||
environment:
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
services:
|
||||
ollama:
|
||||
image: docker.io/ollama/ollama:0.11.10
|
||||
image: docker.io/ollama/ollama:0.13.5
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "${SERVICE_OLLAMA_BIND_PORT_HTTP}:11434"
|
||||
|
||||
@@ -56,12 +56,8 @@ impl ImageSource {
|
||||
}
|
||||
}
|
||||
|
||||
impl From<ImageSource> for async_openai::types::ImageInput {
|
||||
impl From<ImageSource> for async_openai::types::images::ImageInput {
|
||||
fn from(value: ImageSource) -> Self {
|
||||
async_openai::types::ImageInput::from_vec_u8(
|
||||
value.filename,
|
||||
value.bytes,
|
||||
value.mime_type.to_string(),
|
||||
)
|
||||
async_openai::types::images::ImageInput::from_vec_u8(value.filename, value.bytes)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
use super::OPENAI_IMAGE_MODEL_GPT_IMAGE_1;
|
||||
use super::OPENAI_IMAGE_MODEL_GPT_IMAGE_1_DOT_5;
|
||||
use crate::agent::{default_prompt, provider::ConfigTrait};
|
||||
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
@@ -80,7 +80,7 @@ impl Default for TextGenerationConfig {
|
||||
}
|
||||
|
||||
fn default_text_model_id() -> String {
|
||||
"gpt-5".to_owned()
|
||||
"gpt-5.2".to_owned()
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
@@ -104,16 +104,16 @@ fn default_speech_to_text_model_id() -> String {
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct TextToSpeechConfig {
|
||||
#[serde(default = "default_text_to_speech_model_id")]
|
||||
pub model_id: async_openai::types::SpeechModel,
|
||||
pub model_id: async_openai::types::audio::SpeechModel,
|
||||
|
||||
#[serde(default = "default_text_to_speech_voice")]
|
||||
pub voice: async_openai::types::Voice,
|
||||
pub voice: async_openai::types::audio::Voice,
|
||||
|
||||
#[serde(default = "default_text_to_speech_speed")]
|
||||
pub speed: f32,
|
||||
|
||||
#[serde(default = "default_text_to_speech_response_format")]
|
||||
pub response_format: async_openai::types::SpeechResponseFormat,
|
||||
pub response_format: async_openai::types::audio::SpeechResponseFormat,
|
||||
}
|
||||
|
||||
impl Default for TextToSpeechConfig {
|
||||
@@ -127,22 +127,22 @@ impl Default for TextToSpeechConfig {
|
||||
}
|
||||
}
|
||||
|
||||
fn default_text_to_speech_model_id() -> async_openai::types::SpeechModel {
|
||||
async_openai::types::SpeechModel::Tts1Hd
|
||||
fn default_text_to_speech_model_id() -> async_openai::types::audio::SpeechModel {
|
||||
async_openai::types::audio::SpeechModel::Tts1Hd
|
||||
}
|
||||
|
||||
fn default_text_to_speech_voice() -> async_openai::types::Voice {
|
||||
async_openai::types::Voice::Onyx
|
||||
fn default_text_to_speech_voice() -> async_openai::types::audio::Voice {
|
||||
async_openai::types::audio::Voice::Onyx
|
||||
}
|
||||
|
||||
fn default_text_to_speech_speed() -> f32 {
|
||||
1.0
|
||||
}
|
||||
|
||||
fn default_text_to_speech_response_format() -> async_openai::types::SpeechResponseFormat {
|
||||
fn default_text_to_speech_response_format() -> async_openai::types::audio::SpeechResponseFormat {
|
||||
// The API defaults to mp3, but we prefer Opus because it's smaller.
|
||||
// Our clients should all have support for it.
|
||||
async_openai::types::SpeechResponseFormat::Opus
|
||||
async_openai::types::audio::SpeechResponseFormat::Opus
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
@@ -150,19 +150,19 @@ pub struct ImageGenerationConfig {
|
||||
pub model_id: String,
|
||||
|
||||
#[serde(default = "default_image_style")]
|
||||
pub style: Option<async_openai::types::ImageStyle>,
|
||||
pub style: Option<async_openai::types::images::ImageStyle>,
|
||||
|
||||
#[serde(default = "default_image_size")]
|
||||
pub size: Option<async_openai::types::ImageSize>,
|
||||
pub size: Option<async_openai::types::images::ImageSize>,
|
||||
|
||||
#[serde(default = "default_image_quality")]
|
||||
pub quality: Option<async_openai::types::ImageQuality>,
|
||||
pub quality: Option<async_openai::types::images::ImageQuality>,
|
||||
}
|
||||
|
||||
impl Default for ImageGenerationConfig {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
model_id: OPENAI_IMAGE_MODEL_GPT_IMAGE_1.to_owned(),
|
||||
model_id: OPENAI_IMAGE_MODEL_GPT_IMAGE_1_DOT_5.to_owned(),
|
||||
style: default_image_style(),
|
||||
size: default_image_size(),
|
||||
quality: default_image_quality(),
|
||||
@@ -173,23 +173,28 @@ impl Default for ImageGenerationConfig {
|
||||
impl ImageGenerationConfig {
|
||||
pub fn model_id_as_openai_image_model(
|
||||
&self,
|
||||
) -> Result<async_openai::types::ImageModel, String> {
|
||||
) -> Result<async_openai::types::images::ImageModel, String> {
|
||||
match self.model_id.as_str() {
|
||||
"dall-e-2" => Ok(async_openai::types::ImageModel::DallE2),
|
||||
"dall-e-3" => Ok(async_openai::types::ImageModel::DallE3),
|
||||
other => Ok(async_openai::types::ImageModel::Other(other.to_owned())),
|
||||
"dall-e-2" => Ok(async_openai::types::images::ImageModel::DallE2),
|
||||
"dall-e-3" => Ok(async_openai::types::images::ImageModel::DallE3),
|
||||
"gpt-image-1" => Ok(async_openai::types::images::ImageModel::GptImage1),
|
||||
"gpt-image-1.5" => Ok(async_openai::types::images::ImageModel::GptImage1dot5),
|
||||
"gpt-image-1-mini" => Ok(async_openai::types::images::ImageModel::GptImage1Mini),
|
||||
other => Ok(async_openai::types::images::ImageModel::Other(
|
||||
other.to_owned(),
|
||||
)),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn default_image_style() -> Option<async_openai::types::ImageStyle> {
|
||||
fn default_image_style() -> Option<async_openai::types::images::ImageStyle> {
|
||||
None
|
||||
}
|
||||
|
||||
fn default_image_size() -> Option<async_openai::types::ImageSize> {
|
||||
fn default_image_size() -> Option<async_openai::types::images::ImageSize> {
|
||||
None
|
||||
}
|
||||
|
||||
fn default_image_quality() -> Option<async_openai::types::ImageQuality> {
|
||||
fn default_image_quality() -> Option<async_openai::types::images::ImageQuality> {
|
||||
None
|
||||
}
|
||||
|
||||
@@ -4,9 +4,12 @@ use async_openai::{
|
||||
Client as OpenAIClient,
|
||||
config::OpenAIConfig,
|
||||
types::{
|
||||
ChatCompletionRequestMessage, CreateChatCompletionRequestArgs, CreateImageEditRequestArgs,
|
||||
CreateImageRequestArgs, CreateSpeechRequestArgs, CreateTranscriptionRequestArgs,
|
||||
DallE2ImageSize, Image, ImageModel, ImageResponseFormat,
|
||||
audio::{AudioInput, CreateSpeechRequestArgs, CreateTranscriptionRequestArgs},
|
||||
chat::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
|
||||
images::{
|
||||
CreateImageEditRequestArgs, CreateImageRequestArgs,
|
||||
Image, ImageInput, ImageModel, ImageResponseFormat,
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
@@ -38,8 +41,6 @@ use crate::{
|
||||
|
||||
use super::config::Config;
|
||||
|
||||
use super::OPENAI_IMAGE_MODEL_GPT_IMAGE_1;
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct Controller {
|
||||
config: Config,
|
||||
@@ -209,11 +210,7 @@ impl ControllerTrait for Controller {
|
||||
|
||||
let request = CreateTranscriptionRequestArgs::default()
|
||||
.model(&speech_to_text_config.model_id)
|
||||
.file(async_openai::types::AudioInput::from_vec_u8(
|
||||
filename,
|
||||
media,
|
||||
mime_type.to_string(),
|
||||
))
|
||||
.file(AudioInput::from_vec_u8(filename, media))
|
||||
.language(language.clone())
|
||||
.build()?;
|
||||
|
||||
@@ -223,7 +220,7 @@ impl ControllerTrait for Controller {
|
||||
"Sending OpenAI speech-to-text API request"
|
||||
);
|
||||
|
||||
let response = self.client.audio().transcribe(request).await?;
|
||||
let response = self.client.audio().transcription().create(request).await?;
|
||||
|
||||
tracing::trace!(
|
||||
?response,
|
||||
@@ -255,11 +252,12 @@ impl ControllerTrait for Controller {
|
||||
let model = if params.cheaper_model_switching_allowed {
|
||||
// Switch to a cheaper model
|
||||
match original_model {
|
||||
async_openai::types::ImageModel::DallE2 => async_openai::types::ImageModel::DallE2,
|
||||
async_openai::types::ImageModel::DallE3 => async_openai::types::ImageModel::DallE2,
|
||||
async_openai::types::ImageModel::Other(_) => {
|
||||
async_openai::types::ImageModel::DallE2
|
||||
ImageModel::DallE2 => ImageModel::DallE2,
|
||||
ImageModel::DallE3 => ImageModel::DallE2,
|
||||
ImageModel::Other(_) => {
|
||||
ImageModel::DallE2
|
||||
}
|
||||
_ => original_model.clone(),
|
||||
}
|
||||
} else {
|
||||
original_model
|
||||
@@ -269,11 +267,24 @@ impl ControllerTrait for Controller {
|
||||
// Switch to a cheaper quality
|
||||
match &image_generation_config.quality {
|
||||
Some(quality) => match quality {
|
||||
async_openai::types::ImageQuality::Standard => {
|
||||
Some(async_openai::types::ImageQuality::Standard)
|
||||
async_openai::types::images::ImageQuality::Standard => {
|
||||
Some(async_openai::types::images::ImageQuality::Standard)
|
||||
}
|
||||
async_openai::types::ImageQuality::HD => {
|
||||
Some(async_openai::types::ImageQuality::Standard)
|
||||
async_openai::types::images::ImageQuality::HD => {
|
||||
Some(async_openai::types::images::ImageQuality::Standard)
|
||||
}
|
||||
// New quality levels - keep as-is or downgrade to Standard
|
||||
async_openai::types::images::ImageQuality::High => {
|
||||
Some(async_openai::types::images::ImageQuality::Standard)
|
||||
}
|
||||
async_openai::types::images::ImageQuality::Medium => {
|
||||
Some(async_openai::types::images::ImageQuality::Medium)
|
||||
}
|
||||
async_openai::types::images::ImageQuality::Low => {
|
||||
Some(async_openai::types::images::ImageQuality::Low)
|
||||
}
|
||||
async_openai::types::images::ImageQuality::Auto => {
|
||||
Some(async_openai::types::images::ImageQuality::Auto)
|
||||
}
|
||||
},
|
||||
None => None,
|
||||
@@ -284,18 +295,18 @@ impl ControllerTrait for Controller {
|
||||
|
||||
let size = params
|
||||
.size_override
|
||||
.map(|s| convert_string_to_enum::<async_openai::types::ImageSize>(&s).unwrap())
|
||||
.map(|s| convert_string_to_enum::<async_openai::types::images::ImageSize>(&s).unwrap())
|
||||
.or(image_generation_config.size);
|
||||
|
||||
let response_format = match model.clone() {
|
||||
ImageModel::DallE2 => Some(ImageResponseFormat::B64Json),
|
||||
ImageModel::DallE3 => Some(ImageResponseFormat::B64Json),
|
||||
ImageModel::Other(model_str) => match model_str.as_str() {
|
||||
// gpt-image-1 only outputs base64 and we don't need to specify the response format.
|
||||
// In fact, specifying the response format results in an error.
|
||||
OPENAI_IMAGE_MODEL_GPT_IMAGE_1 => None,
|
||||
_ => Some(ImageResponseFormat::B64Json),
|
||||
},
|
||||
// gpt-image-1 only outputs base64 and we don't need to specify the response format.
|
||||
// In fact, specifying the response format results in an error.
|
||||
ImageModel::GptImage1 => None,
|
||||
ImageModel::GptImage1Mini => None,
|
||||
ImageModel::GptImage1dot5 => None,
|
||||
ImageModel::Other(_) => Some(ImageResponseFormat::B64Json),
|
||||
};
|
||||
|
||||
let mut request_builder = CreateImageRequestArgs::default();
|
||||
@@ -329,15 +340,15 @@ impl ControllerTrait for Controller {
|
||||
"Sending OpenAI image generation API request"
|
||||
);
|
||||
|
||||
let response = self.client.images().create(request).await?;
|
||||
let response = self.client.images().generate(request).await?;
|
||||
|
||||
if let Some(image) = response.data.into_iter().next() {
|
||||
match image.deref() {
|
||||
async_openai::types::Image::B64Json {
|
||||
Image::B64Json {
|
||||
b64_json,
|
||||
revised_prompt,
|
||||
} => {
|
||||
let bytes = base64_decode(b64_json)?;
|
||||
let bytes = base64_decode(b64_json.as_ref())?;
|
||||
|
||||
return Ok(ImageGenerationResult {
|
||||
bytes,
|
||||
@@ -374,15 +385,15 @@ impl ControllerTrait for Controller {
|
||||
return Err(anyhow::anyhow!("No image sources provided"));
|
||||
}
|
||||
|
||||
let mut image_inputs = Vec::new();
|
||||
let mut image_inputs: Vec<ImageInput> = Vec::new();
|
||||
for image in images {
|
||||
image_inputs.push(image.into());
|
||||
}
|
||||
|
||||
let dalle2_size = match image_generation_config.size {
|
||||
Some(async_openai::types::ImageSize::S256x256) => Some(DallE2ImageSize::S256x256),
|
||||
Some(async_openai::types::ImageSize::S512x512) => Some(DallE2ImageSize::S512x512),
|
||||
Some(async_openai::types::ImageSize::S1024x1024) => Some(DallE2ImageSize::S1024x1024),
|
||||
Some(async_openai::types::images::ImageSize::S256x256) => Some(async_openai::types::images::ImageSize::S256x256),
|
||||
Some(async_openai::types::images::ImageSize::S512x512) => Some(async_openai::types::images::ImageSize::S512x512),
|
||||
Some(async_openai::types::images::ImageSize::S1024x1024) => Some(async_openai::types::images::ImageSize::S1024x1024),
|
||||
_ => None,
|
||||
};
|
||||
|
||||
@@ -391,16 +402,18 @@ impl ControllerTrait for Controller {
|
||||
.map_err(|err| anyhow::anyhow!(err))?;
|
||||
|
||||
let response_format = match model.clone() {
|
||||
async_openai::types::ImageModel::DallE2 => {
|
||||
Some(async_openai::types::ImageResponseFormat::B64Json)
|
||||
ImageModel::DallE2 => {
|
||||
Some(ImageResponseFormat::B64Json)
|
||||
}
|
||||
async_openai::types::ImageModel::DallE3 => {
|
||||
Some(async_openai::types::ImageResponseFormat::B64Json)
|
||||
ImageModel::DallE3 => {
|
||||
Some(ImageResponseFormat::B64Json)
|
||||
}
|
||||
async_openai::types::ImageModel::Other(model_str) => match model_str.as_str() {
|
||||
OPENAI_IMAGE_MODEL_GPT_IMAGE_1 => None,
|
||||
_ => Some(async_openai::types::ImageResponseFormat::B64Json),
|
||||
},
|
||||
// gpt-image-1 only outputs base64 and we don't need to specify the response format.
|
||||
// In fact, specifying the response format results in an error.
|
||||
ImageModel::GptImage1 => None,
|
||||
ImageModel::GptImage1Mini => None,
|
||||
ImageModel::GptImage1dot5 => None,
|
||||
ImageModel::Other(_) => Some(ImageResponseFormat::B64Json),
|
||||
};
|
||||
|
||||
let mut request_builder = CreateImageEditRequestArgs::default();
|
||||
@@ -429,12 +442,12 @@ impl ControllerTrait for Controller {
|
||||
"Sending OpenAI image edit API request"
|
||||
);
|
||||
|
||||
let response = self.client.images().create_edit(request).await?;
|
||||
let response = self.client.images().edit(request).await?;
|
||||
|
||||
if let Some(image_data) = response.data.into_iter().next() {
|
||||
match image_data.deref() {
|
||||
Image::B64Json { b64_json, .. } => {
|
||||
let bytes = base64_decode(b64_json)?;
|
||||
let bytes = base64_decode(b64_json.as_ref())?;
|
||||
return Ok(ImageEditResult {
|
||||
bytes,
|
||||
mime_type: mxlink::mime::IMAGE_PNG,
|
||||
@@ -471,7 +484,7 @@ impl ControllerTrait for Controller {
|
||||
|
||||
let voice = if let Some(voice_string) = params.voice_override {
|
||||
// This is a hacky way to construct a Voice enum from the string we have.
|
||||
let voice: serde_json::Result<async_openai::types::Voice> =
|
||||
let voice: serde_json::Result<async_openai::types::audio::Voice> =
|
||||
serde_json::from_str(&format!("\"{}\"", voice_string));
|
||||
match voice {
|
||||
Ok(voice) => voice,
|
||||
@@ -511,7 +524,7 @@ impl ControllerTrait for Controller {
|
||||
"Sending OpenAI text-to-speech API request"
|
||||
);
|
||||
|
||||
let result = self.client.audio().speech(request).await?;
|
||||
let result = self.client.audio().speech().create(request).await?;
|
||||
|
||||
Ok(TextToSpeechResult {
|
||||
bytes: result.bytes.into(),
|
||||
@@ -570,15 +583,15 @@ impl ControllerTrait for Controller {
|
||||
}
|
||||
|
||||
fn response_format_to_mime_type(
|
||||
response_format: &async_openai::types::SpeechResponseFormat,
|
||||
response_format: &async_openai::types::audio::SpeechResponseFormat,
|
||||
) -> Option<mxlink::mime::Mime> {
|
||||
let content_type = match response_format {
|
||||
async_openai::types::SpeechResponseFormat::Mp3 => "audio/mp3".to_owned(),
|
||||
async_openai::types::SpeechResponseFormat::Wav => "audio/wav".to_owned(),
|
||||
async_openai::types::SpeechResponseFormat::Opus => "audio/ogg".to_owned(),
|
||||
async_openai::types::SpeechResponseFormat::Aac => "audio/aac".to_owned(),
|
||||
async_openai::types::SpeechResponseFormat::Flac => "audio/flac".to_owned(),
|
||||
async_openai::types::SpeechResponseFormat::Pcm => "audio/L8".to_owned(),
|
||||
async_openai::types::audio::SpeechResponseFormat::Mp3 => "audio/mp3".to_owned(),
|
||||
async_openai::types::audio::SpeechResponseFormat::Wav => "audio/wav".to_owned(),
|
||||
async_openai::types::audio::SpeechResponseFormat::Opus => "audio/ogg".to_owned(),
|
||||
async_openai::types::audio::SpeechResponseFormat::Aac => "audio/aac".to_owned(),
|
||||
async_openai::types::audio::SpeechResponseFormat::Flac => "audio/flac".to_owned(),
|
||||
async_openai::types::audio::SpeechResponseFormat::Pcm => "audio/L8".to_owned(),
|
||||
};
|
||||
|
||||
match content_type.parse() {
|
||||
|
||||
@@ -16,7 +16,7 @@ use super::super::AgentInstantiationResult;
|
||||
use super::ConfigTrait;
|
||||
use super::controller::ControllerType;
|
||||
|
||||
pub const OPENAI_IMAGE_MODEL_GPT_IMAGE_1: &str = "gpt-image-1";
|
||||
pub const OPENAI_IMAGE_MODEL_GPT_IMAGE_1_DOT_5: &str = "gpt-image-1.5";
|
||||
|
||||
pub fn create_controller_from_yaml_value_config(
|
||||
agent_id: &str,
|
||||
|
||||
@@ -1,8 +1,12 @@
|
||||
use async_openai::types::{
|
||||
ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestMessage,
|
||||
ChatCompletionRequestMessageContentPartImage, ChatCompletionRequestSystemMessageArgs,
|
||||
ChatCompletionRequestUserMessageArgs, ChatCompletionRequestUserMessageContent,
|
||||
ChatCompletionRequestUserMessageContentPart, ImageUrlArgs,
|
||||
chat::{
|
||||
ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestMessage,
|
||||
ChatCompletionRequestMessageContentPartImage,
|
||||
ChatCompletionRequestSystemMessageArgs,
|
||||
ChatCompletionRequestUserMessageArgs, ChatCompletionRequestUserMessageContent,
|
||||
ChatCompletionRequestUserMessageContentPart,
|
||||
ImageUrlArgs,
|
||||
},
|
||||
};
|
||||
|
||||
use crate::conversation::llm::{
|
||||
|
||||
@@ -161,11 +161,11 @@ impl TryInto<OpenAITextToSpeechConfig> for TextToSpeechConfig {
|
||||
type Error = String;
|
||||
|
||||
fn try_into(self) -> Result<OpenAITextToSpeechConfig, Self::Error> {
|
||||
let model_id = convert_string_to_enum::<async_openai::types::SpeechModel>(&self.model_id)?;
|
||||
let model_id = convert_string_to_enum::<async_openai::types::audio::SpeechModel>(&self.model_id)?;
|
||||
|
||||
let voice = convert_string_to_enum::<async_openai::types::Voice>(&self.voice)?;
|
||||
let voice = convert_string_to_enum::<async_openai::types::audio::Voice>(&self.voice)?;
|
||||
|
||||
let response_format = convert_string_to_enum::<async_openai::types::SpeechResponseFormat>(
|
||||
let response_format = convert_string_to_enum::<async_openai::types::audio::SpeechResponseFormat>(
|
||||
&self.response_format,
|
||||
)?;
|
||||
|
||||
@@ -224,7 +224,7 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
|
||||
|
||||
fn try_into(self) -> Result<OpenAIImageGenerationConfig, Self::Error> {
|
||||
let size = if let Some(size) = &self.size {
|
||||
Some(convert_string_to_enum::<async_openai::types::ImageSize>(
|
||||
Some(convert_string_to_enum::<async_openai::types::images::ImageSize>(
|
||||
size,
|
||||
)?)
|
||||
} else {
|
||||
@@ -232,7 +232,7 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
|
||||
};
|
||||
|
||||
let style = if let Some(style) = &self.style {
|
||||
Some(convert_string_to_enum::<async_openai::types::ImageStyle>(
|
||||
Some(convert_string_to_enum::<async_openai::types::images::ImageStyle>(
|
||||
style,
|
||||
)?)
|
||||
} else {
|
||||
@@ -240,7 +240,7 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
|
||||
};
|
||||
|
||||
let quality = if let Some(quality) = &self.quality {
|
||||
Some(convert_string_to_enum::<async_openai::types::ImageQuality>(
|
||||
Some(convert_string_to_enum::<async_openai::types::images::ImageQuality>(
|
||||
quality,
|
||||
)?)
|
||||
} else {
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
use std::fs;
|
||||
use std::sync::Arc;
|
||||
use std::{future::Future, pin::Pin};
|
||||
|
||||
@@ -18,12 +19,13 @@ use mxlink::helpers::account_data_config::{
|
||||
RoomConfigManager as AccountDataRoomConfigManager,
|
||||
};
|
||||
use mxlink::helpers::encryption::Manager as EncryptionManager;
|
||||
use mxlink::mime::Mime;
|
||||
|
||||
use crate::agent::Manager as AgentManager;
|
||||
use crate::entity::catch_up_marker::{
|
||||
CatchUpMarker, CatchUpMarkerManager, DelayedCatchUpMarkerManager,
|
||||
};
|
||||
use crate::entity::cfg::Config;
|
||||
use crate::entity::cfg::{Avatar, Config};
|
||||
use crate::entity::globalconfig::{GlobalConfig, GlobalConfigurationManager};
|
||||
use crate::entity::roomconfig::{RoomConfig, RoomConfigurationManager};
|
||||
|
||||
@@ -316,34 +318,72 @@ impl Bot {
|
||||
}
|
||||
}
|
||||
|
||||
let should_update_avatar = match ¤t_avatar_url {
|
||||
Some(avatar_url) => {
|
||||
let request = MediaRequestParameters {
|
||||
source: MediaSource::Plain(avatar_url.to_owned()),
|
||||
format: MediaFormat::File,
|
||||
};
|
||||
|
||||
let content = media
|
||||
.get_media_content(&request, true)
|
||||
.await
|
||||
.map_err(|e| anyhow::anyhow!("Failed fetching existing avatar: {:?}", e))?;
|
||||
|
||||
content.as_slice() != LOGO_BYTES
|
||||
let desired_avatar: Option<(Vec<u8>, Mime)> = match &self.inner.config.user.avatar {
|
||||
Avatar::Keep => {
|
||||
tracing::info!("Avatar configured to keep current, skipping avatar management");
|
||||
None
|
||||
}
|
||||
Avatar::Default => {
|
||||
tracing::info!("Avatar configured to use default");
|
||||
Some((
|
||||
LOGO_BYTES.to_vec(),
|
||||
LOGO_MIME_TYPE
|
||||
.parse()
|
||||
.expect("Failed parsing mime type for logo"),
|
||||
))
|
||||
}
|
||||
Avatar::Custom(avatar_path) => {
|
||||
tracing::info!(?avatar_path, "Avatar configured to use custom path");
|
||||
let bytes = fs::read(avatar_path).map_err(|e| {
|
||||
anyhow::anyhow!("Failed reading avatar from {:?}: {:?}", avatar_path, e)
|
||||
})?;
|
||||
let mime = mime_guess::from_path(avatar_path).first_or_octet_stream();
|
||||
tracing::debug!(?mime, bytes_len = bytes.len(), "Loaded custom avatar");
|
||||
Some((bytes, mime))
|
||||
}
|
||||
None => true,
|
||||
};
|
||||
|
||||
if should_update_avatar {
|
||||
tracing::info!("Updating avatar..");
|
||||
if let Some((desired_bytes, mime_type)) = desired_avatar {
|
||||
let should_update_avatar = match ¤t_avatar_url {
|
||||
Some(avatar_url) => {
|
||||
tracing::debug!(?avatar_url, "Fetching current avatar to compare");
|
||||
let request = MediaRequestParameters {
|
||||
source: MediaSource::Plain(avatar_url.to_owned()),
|
||||
format: MediaFormat::File,
|
||||
};
|
||||
|
||||
let mime_type = LOGO_MIME_TYPE
|
||||
.parse()
|
||||
.expect("Failed parsing mime type for logo");
|
||||
let content = media
|
||||
.get_media_content(&request, true)
|
||||
.await
|
||||
.map_err(|e| anyhow::anyhow!("Failed fetching existing avatar: {:?}", e))?;
|
||||
|
||||
account
|
||||
.upload_avatar(&mime_type, LOGO_BYTES.to_vec())
|
||||
.await
|
||||
.map_err(|e| anyhow::anyhow!("Failed uploading avatar: {:?}", e))?;
|
||||
let needs_update = content.as_slice() != desired_bytes;
|
||||
|
||||
tracing::debug!(
|
||||
current_bytes_len = content.len(),
|
||||
desired_bytes_len = desired_bytes.len(),
|
||||
?needs_update,
|
||||
"Compared current and desired avatar"
|
||||
);
|
||||
|
||||
needs_update
|
||||
}
|
||||
None => {
|
||||
tracing::debug!("No current avatar set, will upload");
|
||||
true
|
||||
}
|
||||
};
|
||||
|
||||
if should_update_avatar {
|
||||
tracing::info!("Updating avatar..");
|
||||
account
|
||||
.upload_avatar(&mime_type, desired_bytes)
|
||||
.await
|
||||
.map_err(|e| anyhow::anyhow!("Failed uploading avatar: {:?}", e))?;
|
||||
tracing::info!("Avatar updated successfully");
|
||||
} else {
|
||||
tracing::debug!("Avatar already up to date, skipping upload");
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
|
||||
@@ -5,7 +5,7 @@ use anyhow::anyhow;
|
||||
|
||||
use crate::agent::AgentPurpose;
|
||||
|
||||
pub use crate::entity::cfg::{Config, defaults as cfg_defaults, env as cfg_env};
|
||||
pub use crate::entity::cfg::{Avatar, Config, defaults as cfg_defaults, env as cfg_env};
|
||||
|
||||
pub fn load() -> anyhow::Result<Config> {
|
||||
let config_file_path = env::var(cfg_env::BAIBOT_CONFIG_FILE_PATH)
|
||||
@@ -33,7 +33,13 @@ pub fn load() -> anyhow::Result<Config> {
|
||||
cfg_env::BAIBOT_USER_ENCRYPTION_RECOVERY_PASSPHRASE => {
|
||||
config.user.encryption.recovery_passphrase = Some(value);
|
||||
}
|
||||
cfg_env::BAIBOT_USER_ENCRYPTION_RECOVERY_RESET_ALLOWED => {
|
||||
config.user.encryption.recovery_reset_allowed = value.parse::<bool>()?;
|
||||
}
|
||||
cfg_env::BAIBOT_USER_NAME => config.user.name = value,
|
||||
cfg_env::BAIBOT_USER_AVATAR => {
|
||||
config.user.avatar = Avatar::from_string(value);
|
||||
}
|
||||
cfg_env::BAIBOT_COMMAND_PREFIX => config.command_prefix = value,
|
||||
cfg_env::BAIBOT_ROOM_POST_JOIN_SELF_INTRODUCTION_ENABLED => {
|
||||
config.room.post_join_self_introduction_enabled = value.parse::<bool>()?;
|
||||
@@ -51,6 +57,9 @@ pub fn load() -> anyhow::Result<Config> {
|
||||
cfg_env::BAIBOT_PERSISTENCE_DATA_DIR_PATH => {
|
||||
config.persistence.data_dir_path = Some(value);
|
||||
}
|
||||
cfg_env::BAIBOT_PERSISTENCE_SESSION_ENCRYPTION_KEY => {
|
||||
config.persistence.session_encryption_key = Some(value);
|
||||
}
|
||||
cfg_env::BAIBOT_PERSISTENCE_CONFIG_ENCRYPTION_KEY => {
|
||||
config.persistence.config_encryption_key = Some(value);
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
use std::path::PathBuf;
|
||||
|
||||
use mxlink::helpers::encryption::EncryptionKey;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use serde::{Deserialize, Deserializer, Serialize};
|
||||
|
||||
use crate::{
|
||||
agent::{AgentDefinition, AgentPurpose, PublicIdentifier},
|
||||
@@ -83,6 +83,52 @@ impl ConfigHomeserver {
|
||||
}
|
||||
}
|
||||
|
||||
/// Configuration for the bot's avatar.
|
||||
///
|
||||
/// - `Default`: Use the built-in default avatar (null, empty string, or missing in config)
|
||||
/// - `Keep`: Don't touch the avatar, keep whatever is already set ("keep" in config)
|
||||
/// - `Custom(String)`: Use a custom avatar from the specified file path
|
||||
#[derive(Debug, Clone, PartialEq, Serialize)]
|
||||
pub enum Avatar {
|
||||
/// Use the built-in default avatar
|
||||
Default,
|
||||
/// Keep the current avatar, don't change it
|
||||
Keep,
|
||||
/// Use a custom avatar from the specified file path
|
||||
Custom(String),
|
||||
}
|
||||
|
||||
impl Default for Avatar {
|
||||
fn default() -> Self {
|
||||
Avatar::Default
|
||||
}
|
||||
}
|
||||
|
||||
impl<'de> Deserialize<'de> for Avatar {
|
||||
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
|
||||
where
|
||||
D: Deserializer<'de>,
|
||||
{
|
||||
let value: Option<String> = Option::deserialize(deserializer)?;
|
||||
Ok(match value {
|
||||
None => Avatar::Default,
|
||||
Some(s) => Avatar::from_string(s),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
impl Avatar {
|
||||
pub fn from_string(value: String) -> Self {
|
||||
if value.is_empty() {
|
||||
Avatar::Default
|
||||
} else if value.eq_ignore_ascii_case("keep") {
|
||||
Avatar::Keep
|
||||
} else {
|
||||
Avatar::Custom(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Serialize, Deserialize)]
|
||||
pub struct ConfigUser {
|
||||
pub mxid_localpart: String,
|
||||
@@ -93,6 +139,9 @@ pub struct ConfigUser {
|
||||
|
||||
#[serde(default)]
|
||||
pub encryption: ConfigUserEncryption,
|
||||
|
||||
#[serde(default)]
|
||||
pub avatar: Avatar,
|
||||
}
|
||||
|
||||
impl ConfigUser {
|
||||
|
||||
@@ -6,8 +6,11 @@ pub const BAIBOT_HOMESERVER_URL: &str = "BAIBOT_HOMESERVER_URL";
|
||||
pub const BAIBOT_USER_MXID_LOCALPART: &str = "BAIBOT_USER_MXID_LOCALPART";
|
||||
pub const BAIBOT_USER_PASSWORD: &str = "BAIBOT_USER_PASSWORD";
|
||||
pub const BAIBOT_USER_NAME: &str = "BAIBOT_USER_NAME";
|
||||
pub const BAIBOT_USER_AVATAR: &str = "BAIBOT_USER_AVATAR";
|
||||
pub const BAIBOT_USER_ENCRYPTION_RECOVERY_PASSPHRASE: &str =
|
||||
"BAIBOT_USER_ENCRYPTION_RECOVERY_PASSPHRASE";
|
||||
pub const BAIBOT_USER_ENCRYPTION_RECOVERY_RESET_ALLOWED: &str =
|
||||
"BAIBOT_USER_ENCRYPTION_RECOVERY_RESET_ALLOWED";
|
||||
|
||||
pub const BAIBOT_COMMAND_PREFIX: &str = "BAIBOT_COMMAND_PREFIX";
|
||||
|
||||
|
||||
@@ -2,4 +2,4 @@ mod config;
|
||||
pub mod defaults;
|
||||
pub mod env;
|
||||
|
||||
pub use config::Config;
|
||||
pub use config::{Avatar, Config};
|
||||
|
||||
Reference in New Issue
Block a user