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saltacc committed 2024-01-18 09:22:30 -08:00
commit e741951630
164 files changed
+5753 -238

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@@ -0,0 +1,12 @@
{
"db_name": "MySQL",
"query": "\nINSERT INTO model_weights_extension_tts_details\nSET\n model_weights_token = ?,\n ietf_language_tag = ?,\n ietf_primary_language_subtag = ?,\n text_pipeline_type = ?,\n use_default_mel_multiply_factor = ?,\n maybe_custom_mel_multiply_factor = ?,\n maybe_default_pretrained_vocoder = ?,\n maybe_custom_vocoder_token = ?\nON DUPLICATE KEY UPDATE\n ietf_language_tag = ?,\n ietf_primary_language_subtag = ?,\n text_pipeline_type = ?,\n use_default_mel_multiply_factor = ?,\n maybe_custom_mel_multiply_factor = ?,\n maybe_default_pretrained_vocoder = ?,\n maybe_custom_vocoder_token = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 15
},
"nullable": []
},
"hash": "1ce9219b8f05fe54adaa6841acb708e165e1c7855b441b9623a2151197578929"
}
@@ -0,0 +1,146 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n w.token as `token: tokens::tokens::model_weights::ModelWeightToken`,\n w.weights_type as `weight_type: enums::by_table::model_weights::weights_types::WeightsType`,\n w.title,\n w.creator_user_token as `creator_user_token: tokens::tokens::users::UserToken`,\n users.username as creator_username,\n users.display_name as creator_display_name,\n users.email_gravatar_hash as creator_gravatar_hash,\n w_extension.ietf_language_tag,\n w_extension.ietf_primary_language_subtag,\n w.creator_set_visibility as `creator_set_visibility: enums::common::visibility::Visibility`,\n w.created_at,\n w.updated_at\nFROM model_weights as w\nLEFT OUTER JOIN model_weights_extension_tts_details as w_extension\n ON w_extension.model_weights_token = w.token\nJOIN users\n ON users.token = w.creator_user_token\nWHERE\n w.weights_type IN (\"tt2\")\n AND w.user_deleted_at IS NULL\n AND w.mod_deleted_at IS NULL\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "token: tokens::tokens::model_weights::ModelWeightToken",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 1,
"name": "weight_type: enums::by_table::model_weights::weights_types::WeightsType",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 2,
"name": "title",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 1020
}
},
{
"ordinal": 3,
"name": "creator_user_token: tokens::tokens::users::UserToken",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 4,
"name": "creator_username",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 80
}
},
{
"ordinal": 5,
"name": "creator_display_name",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 80
}
},
{
"ordinal": 6,
"name": "creator_gravatar_hash",
"type_info": {
"type": "String",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 7,
"name": "ietf_language_tag",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 256
}
},
{
"ordinal": 8,
"name": "ietf_primary_language_subtag",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 48
}
},
{
"ordinal": 9,
"name": "creator_set_visibility: enums::common::visibility::Visibility",
"type_info": {
"type": "String",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | ENUM",
"char_set": 224,
"max_size": 28
}
},
{
"ordinal": 10,
"name": "created_at",
"type_info": {
"type": "Timestamp",
"flags": "NOT_NULL | BINARY | TIMESTAMP",
"char_set": 63,
"max_size": 19
}
},
{
"ordinal": 11,
"name": "updated_at",
"type_info": {
"type": "Timestamp",
"flags": "NOT_NULL | BINARY | TIMESTAMP | ON_UPDATE_NOW",
"char_set": 63,
"max_size": 19
}
}
],
"parameters": {
"Right": 0
},
"nullable": [
false,
false,
false,
false,
false,
false,
false,
true,
true,
false,
false,
false
]
},
"hash": "4d45f5ce213627465e991eaec9b509100e22c614367b67ab026b5edd70927ea5"
}
@@ -0,0 +1,12 @@
{
"db_name": "MySQL",
"query": "\nUPDATE tts_models\nSET\n maybe_migration_new_model_weights_token = ?\nWHERE token = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 2
},
"nullable": []
},
"hash": "aa7ec1c1e32f773212b264f34173f99db1e515e370c47065f932aaec56f89112"
}
Generated
+23
View File
@@ -1259,6 +1259,24 @@ dependencies = [
"my-workspace-hack",
]
[[package]]
name = "composite_identifiers"
version = "0.0.1"
dependencies = [
"enums",
"my-workspace-hack",
"serde",
"serde_derive",
"serde_json",
"sqlx",
"sqlx-core",
"sqlx-mysql",
"strum",
"tokens",
"toml 0.5.11",
"utoipa",
]
[[package]]
name = "concurrency"
version = "0.0.1"
@@ -3052,6 +3070,7 @@ dependencies = [
"chrono",
"cloud_storage",
"collections",
"composite_identifiers",
"concurrency",
"config",
"dotenv",
@@ -3059,6 +3078,7 @@ dependencies = [
"enums",
"errors",
"filesys",
"google_drive_common",
"hashing",
"hostname",
"hyper",
@@ -3857,6 +3877,7 @@ dependencies = [
"anyhow",
"buckets",
"chrono",
"composite_identifiers",
"config",
"container_common",
"dotenv",
@@ -6006,6 +6027,7 @@ dependencies = [
"buckets",
"chrono",
"cloud_storage",
"composite_identifiers",
"config",
"container_common",
"cookies",
@@ -6068,6 +6090,7 @@ dependencies = [
"sha2 0.9.9",
"speculoos",
"sqlx",
"strum",
"symphonia",
"time 0.3.30",
"tokens",
+1
View File
@@ -5,6 +5,7 @@ members = [
# Types: common strongly-typed tokens, ids, payloads, etc.
# Also common cloud buckets and other "strongly typed" configs.
"crates/_types/buckets",
"crates/_types/composite_identifiers",
"crates/_types/enums",
"crates/_types/reusable_types", # TODO(bt, 2022-12-21): Deprecate
"crates/_types/tokens",
+14
View File
@@ -2,6 +2,20 @@
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- Find jobs that are broken for a given user
select id, last_assigned_worker, internal_debugging_failure_reason,created_at
from tts_inference_jobs
where maybe_creator_user_token IN (
select token
from users
where username IN ('knifecat ', 'rewritten_code', 'johnloberger')
)
and attempt_count > 1
and status IN ('complete_failure', 'dead', 'attempt_failed')
and created_at > ( CURDATE() - INTERVAL 5 DAY );
-- Total pending jobs
select count(*)
from tts_inference_jobs
@@ -0,0 +1,5 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE model_weights_extension_tts_details DROP COLUMN text_pipeline_type;
@@ -0,0 +1,7 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE model_weights_extension_tts_details
ADD COLUMN text_pipeline_type VARCHAR(64) DEFAULT NULL
AFTER ietf_primary_language_subtag;
@@ -0,0 +1,5 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
drop table idempotency_tokens;
@@ -0,0 +1,19 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- A form of optimistic locking
CREATE TABLE idempotency_tokens (
-- Not used for anything except replication.
id BIGINT(20) NOT NULL AUTO_INCREMENT,
-- This can be a UUID or any entropic value.
idempotency_value VARCHAR(36) NOT NULL,
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
-- INDICES --
PRIMARY KEY (id),
UNIQUE KEY (idempotency_value)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
@@ -0,0 +1,5 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
drop table batch_generations;
@@ -0,0 +1,42 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- Batch generations
CREATE TABLE batch_generations (
-- Not used for anything except replication.
id BIGINT(20) NOT NULL AUTO_INCREMENT,
-- The batch token
-- This is **NOT** a unique token.
token VARCHAR(32) NOT NULL,
-- ========== ENTITY LINKAGE ==========
-- The type of record this is attached to
-- Currently supported values:
-- * 'model_weight'
-- * 'media_file'
-- * 'comment'
entity_type VARCHAR(32) NOT NULL,
-- The token for the record.
entity_token VARCHAR(32) NOT NULL,
-- ========== TIMESTAMPS ==========
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
-- INDICES --
PRIMARY KEY (id),
UNIQUE KEY (token, entity_type, entity_token),
KEY index_token (token),
KEY index_entity_token (entity_token)
-- NB: Realistically, we probably don't need this index until we have a lot of entity types, and the entity_token
-- entropy is probably sufficient enough as-is.
-- KEY index_entity_type_and_token (entity_type, entity_token),
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
@@ -0,0 +1,5 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE media_files DROP COLUMN is_batch_generated;
@@ -0,0 +1,7 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE media_files
ADD COLUMN is_batch_generated BOOLEAN NOT NULL DEFAULT FALSE
AFTER maybe_origin_filename;
@@ -0,0 +1,42 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- Batch generations
CREATE TABLE batch_generations (
-- Not used for anything except replication.
id BIGINT(20) NOT NULL AUTO_INCREMENT,
-- The batch token
-- This is **NOT** a unique token.
token VARCHAR(32) NOT NULL,
-- ========== ENTITY LINKAGE ==========
-- The type of record this is attached to
-- Currently supported values:
-- * 'model_weight'
-- * 'media_file'
-- * 'comment'
entity_type VARCHAR(32) NOT NULL,
-- The token for the record.
entity_token VARCHAR(32) NOT NULL,
-- ========== TIMESTAMPS ==========
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
-- INDICES --
PRIMARY KEY (id),
UNIQUE KEY (token, entity_type, entity_token),
KEY index_token (token),
KEY index_entity_token (entity_token)
-- NB: Realistically, we probably don't need this index until we have a lot of entity types, and the entity_token
-- entropy is probably sufficient enough as-is.
-- KEY index_entity_type_and_token (entity_type, entity_token),
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
@@ -0,0 +1,19 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- A form of optimistic locking
CREATE TABLE idempotency_tokens (
-- Not used for anything except replication.
id BIGINT(20) NOT NULL AUTO_INCREMENT,
-- This can be a UUID or any entropic value.
idempotency_value VARCHAR(36) NOT NULL,
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
-- INDICES --
PRIMARY KEY (id),
UNIQUE KEY (idempotency_value)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
+12 -2
View File
@@ -26,7 +26,7 @@ CREATE TABLE media_files (
-- * 'device_api' for direct user uploads recorded using Browser/Device APIs.
origin_category VARCHAR(16) NOT NULL,
-- TODO: Remove default value once records backfilled and queries updated.
-- TODO(bt,2024-01-12): Rename to origin_product.
-- Product area where the media file originated.
-- This is not the *model* that created the thing, this is the *product*.
-- (The underlying models can change over time.)
@@ -37,8 +37,13 @@ CREATE TABLE media_files (
-- "Voice Designer" dataset samples in a video generation flow.)
--
-- Possible values:
-- * 'unknown' for legacy records without an associated product
-- * 'face_animator' for uploads and outputs
-- * 'unknown' for legacy records without an associated product (TODO: This should be temporary)
-- * 'tts' for text to speech outputs
-- * 'voice_conversion' for uploads or outputs (RVC or SVC)
-- * 'zs_voice' for uploads or outputs for zero shot voice products
-- * 'video_filter' filters on videos
-- * 'mocap' for files uploaded or processed by motion capture
origin_product_category VARCHAR(16) NOT NULL DEFAULT "unknown",
-- For inference that can be tied back to a model, the type of model.
@@ -53,6 +58,11 @@ CREATE TABLE media_files (
-- The original filename of the media (if uploaded by a user)
maybe_origin_filename VARCHAR(255) DEFAULT NULL,
-- Whether this media file was generated as part of a batch
-- If so, we can look up the batch in a separate query/call to the `batch_generations` table.
-- We won't hold the batch token in this table since it'll be very sparsely populated.
is_batch_generated BOOLEAN NOT NULL DEFAULT FALSE,
-- ========== METADATA ==========
-- We can store text transcripts, etc. in other tables and refer back via foreign key.
@@ -28,7 +28,7 @@ CREATE TABLE model_weights_extension_tts_details (
-- live in the `storyteller-ml` repository.
-- Older models and brand new models will have this field set to null, and we'll infer which value to
-- lazily backfill based on the creation date and language setting.
-- tts_text_pipeline_type VARCHAR(64) DEFAULT NULL,
text_pipeline_type VARCHAR(64) DEFAULT NULL,
-- If true, multiply the mel outputs before being vocoded by a globally default constant.
use_default_mel_multiply_factor BOOLEAN NOT NULL DEFAULT FALSE,
@@ -26,12 +26,14 @@ impl ModelCategory {
#[derive(Debug, Clone, Copy, Eq, PartialEq)]
pub enum ModelType {
VallEx,
StyleTTS2,
}
impl ModelType {
pub fn to_str(&self) -> &'static str {
match self {
ModelType::VallEx => "vallex",
ModelType::StyleTTS2 => "styletts2",
}
}
}
@@ -25,6 +25,11 @@ impl PublicPath for WeightFileBucketPath {}
impl WeightFileBucketPath {
// TODO(bt,2024-01-14): This is temporary standardization. Clean this up.
pub fn generate_for_tt2_model() -> Self {
Self::generate_new(Some("tt2_"), Some(".pt"))
}
// TODO(bt,2023-12-19): This is temporary standardization. Clean this up.
pub fn generate_for_svc_model() -> Self {
Self::generate_new(Some("svc_"), Some(".pt"))
@@ -35,6 +40,11 @@ impl WeightFileBucketPath {
Self::generate_new(Some("rvc_"), Some(".pt"))
}
// TODO(bt,2024-01-15): This is temporary standardization. Clean this up.
pub fn tt2_model_file_from_object_hash(hash: &str) -> Self {
Self::from_object_hash(hash, Some("tt2_"), Some(".pt"))
}
// TODO(bt,2023-12-19): This is temporary standardization. Clean this up.
pub fn svc_model_file_from_object_hash(hash: &str) -> Self {
Self::from_object_hash(hash, Some("svc_"), Some(".pt"))
@@ -0,0 +1,40 @@
[package]
name = "composite_identifiers"
edition = "2018"
version = "0.0.1"
authors = [
"Brandon Thomas <bt@brand.io>",
"Brandon Thomas <echelon@gmail.com>",
]
publish = false
[lib]
name = "composite_identifiers"
path = "src/lib.rs"
[dependencies]
# Internal
enums = { path = "../enums" }
tokens = { path = "../tokens" }
# Workspace hack (faster compile times)
my-workspace-hack = { version = "0.1", path = "../../my-workspace-hack" }
# Serialization
serde = "1.0.125"
serde_derive = "1.0.125"
sqlx = { version = "0.7.2", features = [ "mysql", "sqlite", "runtime-tokio-native-tls", "chrono" ] }
sqlx-core = { version = "0.7.2" }
sqlx-mysql= { version = "0.7.2" }
utoipa = { version = "4", features = ["chrono","actix_extras"] }
[dev-dependencies]
# Enum utilities
strum = { version = "0.25", features = ["derive"] }
# Test serialization
serde_json = "1.0.108"
toml = "0.5.8"
@@ -0,0 +1,28 @@
use enums::by_table::batch_generations::batch_generation_entity_type::BatchGenerationEntityType;
use tokens::tokens::media_files::MediaFileToken;
// TODO(bt, 2024-01-16): A ref type with <'a> lifetime of inner data instead of ownership?
pub enum BatchGenerationEntity {
MediaFile(MediaFileToken),
}
// TODO(bt, 2024-01-16): Codegen? Make traits for these? Maybe overkill.
impl BatchGenerationEntity {
pub fn get_entity_type(&self) -> BatchGenerationEntityType {
match self {
Self::MediaFile(_) => BatchGenerationEntityType::MediaFile,
}
}
pub fn get_entity_token_str(&self) -> &str {
match self {
Self::MediaFile(token) => token.as_str(),
}
}
pub fn get_composite_keys(&self) -> (BatchGenerationEntityType, &str) {
match self {
Self::MediaFile(token) => (BatchGenerationEntityType::MediaFile, token.as_str()),
}
}
}
@@ -0,0 +1 @@
pub mod batch_generation_entity;
@@ -0,0 +1 @@
pub mod batch_generations;
@@ -0,0 +1,22 @@
//! composite_identifiers
//!
//! The purpose of this library is to provide easy to construct, **typesafe**, composite identifiers.
//! This is mostly a combination of `tokens` and `enums`.
//!
// Never allow these
#![forbid(private_bounds)]
#![forbid(private_interfaces)]
#![forbid(unused_must_use)] // NB: It's unsafe to not close/check some things
// Okay to toggle
#![forbid(unreachable_patterns)]
#![forbid(unused_imports)]
#![forbid(unused_mut)]
#![forbid(unused_variables)]
// Always allow
#![allow(dead_code)]
#![allow(non_snake_case)]
pub mod by_table;
@@ -0,0 +1,109 @@
use std::collections::BTreeSet;
use serde::Deserialize;
use serde::Serialize;
#[cfg(test)]
use strum::EnumCount;
#[cfg(test)]
use strum::EnumIter;
use utoipa::ToSchema;
/// Used in the `batch_generations` table in a `VARCHAR(32)` field named `entity_type`.
#[cfg_attr(test, derive(EnumIter, EnumCount))]
#[derive(Clone, Copy, Eq, PartialEq, Hash, Deserialize, Serialize, Ord, PartialOrd, ToSchema)]
pub enum BatchGenerationEntityType {
/// Media files
/// This will probably be the only type supported, but we'll leave the possibility of future types.
#[serde(rename = "media_file")]
MediaFile,
}
// TODO(bt, 2023-01-17): This desperately needs MySQL integration tests!
impl_enum_display_and_debug_using_to_str!(BatchGenerationEntityType);
impl_mysql_enum_coders!(BatchGenerationEntityType);
impl_mysql_from_row!(BatchGenerationEntityType);
/// NB: Legacy API for older code.
impl BatchGenerationEntityType {
pub fn to_str(&self) -> &'static str {
match self {
Self::MediaFile => "media_file",
}
}
pub fn from_str(value: &str) -> Result<Self, String> {
match value {
"media_file" => Ok(Self::MediaFile),
_ => Err(format!("invalid value: {:?}", value)),
}
}
pub fn all_variants() -> BTreeSet<Self> {
// NB: BTreeSet is sorted
// NB: BTreeSet::from() isn't const, but not worth using LazyStatic, etc.
BTreeSet::from([
Self::MediaFile,
])
}
}
#[cfg(test)]
mod tests {
use crate::by_table::batch_generations::batch_generation_entity_type::BatchGenerationEntityType;
use crate::test_helpers::assert_serialization;
mod serde {
use super::*;
#[test]
fn test_serialization() {
assert_serialization(BatchGenerationEntityType::MediaFile, "media_file");
}
}
mod impl_methods {
use super::*;
#[test]
fn to_str() {
assert_eq!(BatchGenerationEntityType::MediaFile.to_str(), "media_file");
}
#[test]
fn from_str() {
assert_eq!(BatchGenerationEntityType::from_str("media_file").unwrap(), BatchGenerationEntityType::MediaFile);
assert!(BatchGenerationEntityType::from_str("foo").is_err());
}
}
mod manual_variant_checks {
use super::*;
#[test]
fn all_variants() {
let mut variants = BatchGenerationEntityType::all_variants();
assert_eq!(variants.len(), 1);
assert_eq!(variants.pop_first(), Some(BatchGenerationEntityType::MediaFile));
assert_eq!(variants.pop_first(), None);
}
}
mod mechanical_checks {
use super::*;
#[test]
fn variant_length() {
use strum::IntoEnumIterator;
assert_eq!(BatchGenerationEntityType::all_variants().len(), BatchGenerationEntityType::iter().len());
}
#[test]
fn round_trip() {
for variant in BatchGenerationEntityType::all_variants() {
assert_eq!(variant, BatchGenerationEntityType::from_str(variant.to_str()).unwrap());
assert_eq!(variant, BatchGenerationEntityType::from_str(&format!("{}", variant)).unwrap());
assert_eq!(variant, BatchGenerationEntityType::from_str(&format!("{:?}", variant)).unwrap());
}
}
}
}
@@ -0,0 +1 @@
pub mod batch_generation_entity_type;
@@ -29,6 +29,9 @@ pub enum InferenceCategory {
#[serde(rename = "video_filter")]
VideoFilter,
#[serde(rename = "image_generation")]
ImageGeneration,
#[serde(rename = "mocap")]
Mocap,
@@ -48,6 +51,7 @@ impl InferenceCategory {
Self::TextToSpeech => "text_to_speech",
Self::VoiceConversion => "voice_conversion",
Self::VideoFilter => "video_filter",
Self::ImageGeneration => "image_generation",
Self::Mocap => "mocap",
Self::Workflow => "workflow",
}
@@ -59,6 +63,7 @@ impl InferenceCategory {
"text_to_speech" => Ok(Self::TextToSpeech),
"voice_conversion" => Ok(Self::VoiceConversion),
"video_filter" => Ok(Self::VideoFilter),
"image_generation" => Ok(Self::ImageGeneration),
"mocap" => Ok(Self::Mocap),
_ => Err(format!("invalid value: {:?}", value)),
}
@@ -72,6 +77,7 @@ impl InferenceCategory {
Self::TextToSpeech,
Self::VoiceConversion,
Self::VideoFilter,
Self::ImageGeneration,
Self::Mocap,
Self::Workflow,
])
@@ -89,6 +95,7 @@ mod tests {
assert_serialization(InferenceCategory::TextToSpeech, "text_to_speech");
assert_serialization(InferenceCategory::VoiceConversion, "voice_conversion");
assert_serialization(InferenceCategory::VideoFilter, "video_filter");
assert_serialization(InferenceCategory::ImageGeneration, "image_generation");
assert_serialization(InferenceCategory::Mocap, "mocap");
assert_serialization(InferenceCategory::Workflow, "workflow")
}
@@ -99,6 +106,7 @@ mod tests {
assert_eq!(InferenceCategory::TextToSpeech.to_str(), "text_to_speech");
assert_eq!(InferenceCategory::VoiceConversion.to_str(), "voice_conversion");
assert_eq!(InferenceCategory::VideoFilter.to_str(), "video_filter");
assert_eq!(InferenceCategory::ImageGeneration.to_str(), "image_generation");
assert_eq!(InferenceCategory::Mocap.to_str(), "mocap");
assert_eq!(InferenceCategory::Workflow.to_str(), "workflow");
}
@@ -109,6 +117,7 @@ mod tests {
assert_eq!(InferenceCategory::from_str("text_to_speech").unwrap(), InferenceCategory::TextToSpeech);
assert_eq!(InferenceCategory::from_str("voice_conversion").unwrap(), InferenceCategory::VoiceConversion);
assert_eq!(InferenceCategory::from_str("video_filter").unwrap(), InferenceCategory::VideoFilter);
assert_eq!(InferenceCategory::from_str("image_generation").unwrap(), InferenceCategory::ImageGeneration);
assert_eq!(InferenceCategory::from_str("mocap").unwrap(), InferenceCategory::Mocap);
assert_eq!(InferenceCategory::from_str("workflow").unwrap(), InferenceCategory::Workflow);
}
@@ -122,6 +131,7 @@ mod tests {
assert_eq!(variants.pop_first(), Some(InferenceCategory::TextToSpeech));
assert_eq!(variants.pop_first(), Some(InferenceCategory::VoiceConversion));
assert_eq!(variants.pop_first(), Some(InferenceCategory::VideoFilter));
assert_eq!(variants.pop_first(), Some(InferenceCategory::ImageGeneration));
assert_eq!(variants.pop_first(), Some(InferenceCategory::Mocap));
assert_eq!(variants.pop_first(), Some(InferenceCategory::Workflow));
assert_eq!(variants.pop_first(), None);
@@ -33,10 +33,14 @@ pub enum InferenceModelType {
VallEX,
#[serde(rename = "rerender_a_video")]
RerenderAVideo,
#[serde(rename = "stable_diffusion")]
StableDiffusion,
#[serde(rename = "mocap_net")]
MocapNet,
#[serde(rename = "comfy_ui")]
ComfyUi,
#[serde(rename = "styletts2")]
StyleTTS2,
}
// TODO(bt, 2022-12-21): This desperately needs MySQL integration tests!
@@ -54,7 +58,9 @@ impl InferenceModelType {
Self::Vits => "vits",
Self::VallEX => "vall_e_x",
Self::RerenderAVideo => "rerender_a_video",
Self::StableDiffusion => "stable_diffusion",
Self::MocapNet => "mocap_net",
Self::StyleTTS2 => "styletts2",
Self::ComfyUi => "comfy_ui",
}
}
@@ -68,7 +74,9 @@ impl InferenceModelType {
"vits" => Ok(Self::Vits),
"vall_e_x" => Ok(Self::VallEX),
"rerender_a_video" => Ok(Self::RerenderAVideo),
"stable_diffusion" => Ok(Self::StableDiffusion),
"mocap_net" => Ok(Self::MocapNet),
"styletts2" => Ok(Self::StyleTTS2),
"comfy_ui" => Ok(Self::ComfyUi),
_ => Err(format!("invalid value: {:?}", value)),
}
@@ -85,7 +93,9 @@ impl InferenceModelType {
InferenceModelType::Vits,
InferenceModelType::VallEX,
InferenceModelType::RerenderAVideo,
InferenceModelType::StableDiffusion,
InferenceModelType::MocapNet,
InferenceModelType::StyleTTS2,
])
}
}
@@ -104,8 +114,10 @@ mod tests {
assert_serialization(InferenceModelType::Vits, "vits");
assert_serialization(InferenceModelType::VallEX, "vall_e_x");
assert_serialization(InferenceModelType::RerenderAVideo, "rerender_a_video");
assert_serialization(InferenceModelType::StableDiffusion, "stable_diffusion");
assert_serialization(InferenceModelType::MocapNet, "mocap_net");
assert_serialization(InferenceModelType::ComfyUi, "comfy_ui");
assert_serialization(InferenceModelType::StyleTTS2, "styletts2");
}
#[test]
@@ -117,7 +129,9 @@ mod tests {
assert_eq!(InferenceModelType::Vits.to_str(), "vits");
assert_eq!(InferenceModelType::VallEX.to_str(), "vall_e_x");
assert_eq!(InferenceModelType::RerenderAVideo.to_str(), "rerender_a_video");
assert_eq!(InferenceModelType::StableDiffusion.to_str(), "stable_diffusion");
assert_eq!(InferenceModelType::MocapNet.to_str(), "mocap_net");
assert_eq!(InferenceModelType::StyleTTS2.to_str(), "styletts2");
assert_eq!(InferenceModelType::ComfyUi.to_str(), "comfy_ui");
}
@@ -130,7 +144,9 @@ mod tests {
assert_eq!(InferenceModelType::from_str("vits").unwrap(), InferenceModelType::Vits);
assert_eq!(InferenceModelType::from_str("vall_e_x").unwrap(), InferenceModelType::VallEX);
assert_eq!(InferenceModelType::from_str("rerender_a_video").unwrap(), InferenceModelType::RerenderAVideo);
assert_eq!(InferenceModelType::from_str("stable_diffusion").unwrap(), InferenceModelType::StableDiffusion);
assert_eq!(InferenceModelType::from_str("mocap_net").unwrap(), InferenceModelType::MocapNet);
assert_eq!(InferenceModelType::from_str("styletts2").unwrap(), InferenceModelType::StyleTTS2);
assert_eq!(InferenceModelType::from_str("comfy_ui").unwrap(), InferenceModelType::ComfyUi);
}
@@ -138,7 +154,7 @@ mod tests {
fn all_variants() {
// Static check
let mut variants = InferenceModelType::all_variants();
assert_eq!(variants.len(), 9);
assert_eq!(variants.len(), 10);
assert_eq!(variants.pop_first(), Some(InferenceModelType::RvcV2));
assert_eq!(variants.pop_first(), Some(InferenceModelType::SadTalker));
assert_eq!(variants.pop_first(), Some(InferenceModelType::SoVitsSvc));
@@ -146,7 +162,9 @@ mod tests {
assert_eq!(variants.pop_first(), Some(InferenceModelType::Vits));
assert_eq!(variants.pop_first(), Some(InferenceModelType::VallEX));
assert_eq!(variants.pop_first(), Some(InferenceModelType::RerenderAVideo));
assert_eq!(variants.pop_first(), Some(InferenceModelType::StableDiffusion));
assert_eq!(variants.pop_first(), Some(InferenceModelType::MocapNet));
assert_eq!(variants.pop_first(), Some(InferenceModelType::StyleTTS2));
assert_eq!(variants.pop_first(), Some(InferenceModelType::ComfyUi));
assert_eq!(variants.pop_first(), None);
@@ -29,6 +29,9 @@ pub enum InferenceResultType {
#[serde(rename = "zs_voice_embedding")]
ZeroShotVoiceEmbedding,
#[serde(rename = "upload_model")]
UploadModel
}
// TODO(bt, 2022-12-21): This desperately needs MySQL integration tests!
@@ -43,6 +46,7 @@ impl InferenceResultType {
Self::TextToSpeech => "text_to_speech",
Self::VoiceConversion => "voice_conversion",
Self::ZeroShotVoiceEmbedding => "zs_voice_embedding",
Self::UploadModel => "upload_model",
}
}
@@ -52,6 +56,7 @@ impl InferenceResultType {
"text_to_speech" => Ok(Self::TextToSpeech),
"voice_conversion" => Ok(Self::VoiceConversion),
"zs_voice_embedding" => Ok(Self::ZeroShotVoiceEmbedding),
"upload_model" => Ok(Self::UploadModel),
_ => Err(format!("invalid value: {:?}", value)),
}
}
@@ -64,6 +69,7 @@ impl InferenceResultType {
InferenceResultType::TextToSpeech,
InferenceResultType::VoiceConversion,
InferenceResultType::ZeroShotVoiceEmbedding,
InferenceResultType::UploadModel,
])
}
}
@@ -79,6 +85,7 @@ mod tests {
assert_serialization(InferenceResultType::TextToSpeech, "text_to_speech");
assert_serialization(InferenceResultType::VoiceConversion, "voice_conversion");
assert_serialization(InferenceResultType::ZeroShotVoiceEmbedding, "zs_voice_embedding");
assert_serialization(InferenceResultType::UploadModel, "upload_model");
}
#[test]
@@ -87,6 +94,7 @@ mod tests {
assert_eq!(InferenceResultType::TextToSpeech.to_str(), "text_to_speech");
assert_eq!(InferenceResultType::VoiceConversion.to_str(), "voice_conversion");
assert_eq!(InferenceResultType::ZeroShotVoiceEmbedding.to_str(), "zs_voice_embedding");
assert_eq!(InferenceResultType::UploadModel.to_str(), "upload_model");
}
#[test]
@@ -95,17 +103,19 @@ mod tests {
assert_eq!(InferenceResultType::from_str("text_to_speech").unwrap(), InferenceResultType::TextToSpeech);
assert_eq!(InferenceResultType::from_str("voice_conversion").unwrap(), InferenceResultType::VoiceConversion);
assert_eq!(InferenceResultType::from_str("zs_voice_embedding").unwrap(), InferenceResultType::ZeroShotVoiceEmbedding);
assert_eq!(InferenceResultType::from_str("upload_model").unwrap(), InferenceResultType::UploadModel);
}
#[test]
fn all_variants() {
// Static check
let mut variants = InferenceResultType::all_variants();
assert_eq!(variants.len(), 4);
assert_eq!(variants.len(), 5);
assert_eq!(variants.pop_first(), Some(InferenceResultType::MediaFile));
assert_eq!(variants.pop_first(), Some(InferenceResultType::TextToSpeech));
assert_eq!(variants.pop_first(), Some(InferenceResultType::VoiceConversion));
assert_eq!(variants.pop_first(), Some(InferenceResultType::ZeroShotVoiceEmbedding));
assert_eq!(variants.pop_first(), Some(InferenceResultType::UploadModel));
assert_eq!(variants.pop_first(), None);
// Generated check
@@ -41,6 +41,9 @@ pub enum MediaFileOriginModelType {
#[serde(rename = "comfy_ui")]
ComfyUi,
#[serde(rename = "styletts2")]
StyleTTS2,
}
// TODO(bt, 2022-12-21): This desperately needs MySQL integration tests!
@@ -60,6 +63,7 @@ impl MediaFileOriginModelType {
Self::Rerender => "rerender",
Self::MocapNet => "mocap_net",
Self::ComfyUi => "comfy_ui",
Self::StyleTTS2 => "styletts2",
}
}
@@ -73,6 +77,7 @@ impl MediaFileOriginModelType {
"rerender" => Ok(Self::Rerender),
"mocap_net" => Ok(Self::MocapNet),
"comfy_ui" => Ok(Self::ComfyUi),
"styletts2" => Ok(Self::StyleTTS2),
_ => Err(format!("invalid value: {:?}", value)),
}
}
@@ -89,6 +94,7 @@ impl MediaFileOriginModelType {
Self::Rerender,
Self::MocapNet,
Self::ComfyUi,
Self::StyleTTS2,
])
}
}
@@ -116,6 +122,7 @@ mod tests {
assert_eq!(MediaFileOriginModelType::Rerender.to_str(), "rerender");
assert_eq!(MediaFileOriginModelType::MocapNet.to_str(), "mocap_net");
assert_eq!(MediaFileOriginModelType::ComfyUi.to_str(), "comfy_ui");
assert_eq!(MediaFileOriginModelType::StyleTTS2.to_str(), "styletts2");
}
#[test]
@@ -128,13 +135,14 @@ mod tests {
assert_eq!(MediaFileOriginModelType::from_str("rerender").unwrap(), MediaFileOriginModelType::Rerender);
assert_eq!(MediaFileOriginModelType::from_str("mocap_net").unwrap(), MediaFileOriginModelType::MocapNet);
assert_eq!(MediaFileOriginModelType::from_str("comfy_ui").unwrap(), MediaFileOriginModelType::ComfyUi);
assert_eq!(MediaFileOriginModelType::from_str("styletts2").unwrap(), MediaFileOriginModelType::StyleTTS2);
assert!(MediaFileOriginModelType::from_str("foo").is_err());
}
#[test]
fn all_variants() {
let mut variants = MediaFileOriginModelType::all_variants();
assert_eq!(variants.len(), 8);
assert_eq!(variants.len(), 10);
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::RvcV2));
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::SadTalker));
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::SoVitsSvc));
@@ -143,6 +151,7 @@ mod tests {
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::Rerender));
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::MocapNet));
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::ComfyUi));
assert_eq!(variants.pop_first(), Some(MediaFileOriginModelType::StyleTTS2));
assert_eq!(variants.pop_first(), None);
}
}
@@ -17,6 +17,11 @@ use utoipa::ToSchema;
#[cfg_attr(test, derive(EnumIter, EnumCount))]
#[derive(Clone, Copy, Eq, PartialEq, Hash, Ord, PartialOrd, Deserialize, Serialize, ToSchema)]
pub enum MediaFileOriginProductCategory {
/// Unknown which product is attached to the file (generated the file, the file was
/// uploaded on behalf of, etc.)
#[serde(rename = "unknown")]
Unknown,
/// Media files created by (or uploaded for) the Face Animator product.
/// The underlying model could be SadTalker, Wav2Lip, or some future model
#[serde(rename = "face_animator")]
@@ -26,12 +31,6 @@ pub enum MediaFileOriginProductCategory {
#[serde(rename = "tts")]
TextToSpeech,
// TODO: This should be a temporary category until we migrate the DB to remove this default value
/// Unknown which product is attached to the file (generated the file, the file was
/// uploaded on behalf of, etc.)
#[serde(rename = "unknown")]
Unknown,
/// Voice conversion (either RVC or SVC)
#[serde(rename = "voice_conversion")]
VoiceConversion,
@@ -62,9 +61,9 @@ impl_mysql_from_row!(MediaFileOriginProductCategory);
impl MediaFileOriginProductCategory {
pub fn to_str(&self) -> &'static str {
match self {
Self::Unknown => "unknown",
Self::FaceAnimator => "face_animator",
Self::TextToSpeech => "tts",
Self::Unknown => "unknown",
Self::VoiceConversion => "voice_conversion",
Self::ZeroShotVoice => "zs_voice",
Self::VideoFilter => "video_filter",
@@ -75,9 +74,9 @@ impl MediaFileOriginProductCategory {
pub fn from_str(value: &str) -> Result<Self, String> {
match value {
"unknown" => Ok(Self::Unknown),
"face_animator" => Ok(Self::FaceAnimator),
"tts" => Ok(Self::TextToSpeech),
"unknown" => Ok(Self::Unknown),
"voice_conversion" => Ok(Self::VoiceConversion),
"zs_voice" => Ok(Self::ZeroShotVoice),
"video_filter" => Ok(Self::VideoFilter),
@@ -91,10 +90,10 @@ impl MediaFileOriginProductCategory {
// NB: BTreeSet is sorted
// NB: BTreeSet::from() isn't const, but not worth using LazyStatic, etc.
BTreeSet::from([
Self::Unknown,
Self::FaceAnimator,
Self::TextToSpeech,
Self::VideoFilter,
Self::Unknown,
Self::VoiceConversion,
Self::ZeroShotVoice,
Self::Mocap,
@@ -113,9 +112,9 @@ mod tests {
#[test]
fn test_serialization() {
assert_serialization(MediaFileOriginProductCategory::Unknown, "unknown");
assert_serialization(MediaFileOriginProductCategory::FaceAnimator, "face_animator");
assert_serialization(MediaFileOriginProductCategory::TextToSpeech, "tts");
assert_serialization(MediaFileOriginProductCategory::Unknown, "unknown");
assert_serialization(MediaFileOriginProductCategory::VoiceConversion, "voice_conversion");
assert_serialization(MediaFileOriginProductCategory::ZeroShotVoice, "zs_voice");
assert_serialization(MediaFileOriginProductCategory::VideoFilter, "video_filter");
@@ -125,9 +124,9 @@ mod tests {
#[test]
fn to_str() {
assert_eq!(MediaFileOriginProductCategory::Unknown.to_str(), "unknown");
assert_eq!(MediaFileOriginProductCategory::FaceAnimator.to_str(), "face_animator");
assert_eq!(MediaFileOriginProductCategory::TextToSpeech.to_str(), "tts");
assert_eq!(MediaFileOriginProductCategory::Unknown.to_str(), "unknown");
assert_eq!(MediaFileOriginProductCategory::VoiceConversion.to_str(), "voice_conversion");
assert_eq!(MediaFileOriginProductCategory::ZeroShotVoice.to_str(), "zs_voice");
assert_eq!(MediaFileOriginProductCategory::VideoFilter.to_str(), "video_filter");
@@ -137,9 +136,9 @@ mod tests {
#[test]
fn from_str() {
assert_eq!(MediaFileOriginProductCategory::from_str("unknown").unwrap(), MediaFileOriginProductCategory::Unknown);
assert_eq!(MediaFileOriginProductCategory::from_str("face_animator").unwrap(), MediaFileOriginProductCategory::FaceAnimator);
assert_eq!(MediaFileOriginProductCategory::from_str("tts").unwrap(), MediaFileOriginProductCategory::TextToSpeech);
assert_eq!(MediaFileOriginProductCategory::from_str("unknown").unwrap(), MediaFileOriginProductCategory::Unknown);
assert_eq!(MediaFileOriginProductCategory::from_str("voice_conversion").unwrap(), MediaFileOriginProductCategory::VoiceConversion);
assert_eq!(MediaFileOriginProductCategory::from_str("zs_voice").unwrap(), MediaFileOriginProductCategory::ZeroShotVoice);
assert_eq!(MediaFileOriginProductCategory::from_str("video_filter").unwrap(), MediaFileOriginProductCategory::VideoFilter);
@@ -151,9 +150,9 @@ mod tests {
fn all_variants() {
let mut variants = MediaFileOriginProductCategory::all_variants();
assert_eq!(variants.len(), 8);
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::Unknown));
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::FaceAnimator));
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::TextToSpeech));
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::Unknown));
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::VoiceConversion));
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::ZeroShotVoice));
assert_eq!(variants.pop_first(), Some(MediaFileOriginProductCategory::VideoFilter));
+2
View File
@@ -1,5 +1,6 @@
// ===== MySql =====
pub mod audit_logs;
pub mod batch_generations;
pub mod comments;
pub mod email_sender_jobs;
pub mod entity_stats;
@@ -17,6 +18,7 @@ pub mod user_ratings;
pub mod voice_conversion_models;
pub mod voice_conversion_results;
pub mod zs_voices;
// ===== Sqlite =====
pub mod tts_render_tasks;
pub mod web_rendition_targets;
@@ -17,6 +17,8 @@ pub enum WeightsCategory {
Vocoder,
#[serde(rename = "voice_conversion")]
VoiceConversion,
#[serde(rename = "workflow_config")]
WorkflowConfig,
}
impl WeightsCategory {
@@ -26,6 +28,7 @@ impl WeightsCategory {
Self::TextToSpeech => "text_to_speech",
Self::Vocoder => "vocoder",
Self::VoiceConversion => "voice_conversion",
Self::WorkflowConfig => "workflow_config",
}
}
@@ -35,6 +38,7 @@ impl WeightsCategory {
"text_to_speech" => Ok(Self::TextToSpeech),
"vocoder" => Ok(Self::Vocoder),
"voice_conversion" => Ok(Self::VoiceConversion),
"workflow_config" => Ok(Self::WorkflowConfig),
_ => Err(format!("invalid value: {:?}", value)),
}
}
@@ -45,6 +49,7 @@ impl WeightsCategory {
Self::TextToSpeech,
Self::Vocoder,
Self::VoiceConversion,
Self::WorkflowConfig,
])
}
}
@@ -62,6 +67,7 @@ mod tests {
assert_eq!(WeightsCategory::TextToSpeech.to_str(), "text_to_speech");
assert_eq!(WeightsCategory::Vocoder.to_str(), "vocoder");
assert_eq!(WeightsCategory::VoiceConversion.to_str(), "voice_conversion");
assert_eq!(WeightsCategory::WorkflowConfig.to_str(), "workflow_config");
}
#[test]
@@ -70,16 +76,18 @@ mod tests {
assert_eq!(WeightsCategory::from_str("text_to_speech").unwrap(), WeightsCategory::TextToSpeech);
assert_eq!(WeightsCategory::from_str("vocoder").unwrap(), WeightsCategory::Vocoder);
assert_eq!(WeightsCategory::from_str("voice_conversion").unwrap(), WeightsCategory::VoiceConversion);
assert_eq!(WeightsCategory::from_str("workflow_config").unwrap(), WeightsCategory::WorkflowConfig);
assert!(WeightsCategory::from_str("invalid").is_err());
}
#[test]
fn test_all_variants() {
let variants = WeightsCategory::all_variants();
assert_eq!(variants.len(), 4);
assert_eq!(variants.len(), 5);
assert!(variants.contains(&WeightsCategory::ImageGeneration));
assert!(variants.contains(&WeightsCategory::TextToSpeech));
assert!(variants.contains(&WeightsCategory::Vocoder));
assert!(variants.contains(&WeightsCategory::VoiceConversion));
assert!(variants.contains(&WeightsCategory::WorkflowConfig));
}
}
@@ -25,6 +25,8 @@ pub enum WeightsType {
LoRA,
#[serde(rename = "vall_e")]
VallE,
#[serde(rename = "comfy_ui")]
ComfyUi,
}
@@ -39,6 +41,7 @@ impl WeightsType {
Self::Tacotron2 => "tt2",
Self::LoRA => "loRA",
Self::VallE => "vall_e",
Self::ComfyUi => "comfy_ui",
}
}
@@ -52,6 +55,7 @@ impl WeightsType {
"tt2" => Ok(Self::Tacotron2),
"loRA" => Ok(Self::LoRA),
"vall_e" => Ok(Self::VallE),
"comfy_ui" => Ok(Self::ComfyUi),
_ => Err(format!("invalid value: {:?}", value)),
}
}
@@ -65,7 +69,8 @@ impl WeightsType {
Self::SoVitsSvc,
Self::Tacotron2,
Self::LoRA,
Self::VallE
Self::VallE,
Self::ComfyUi,
])
}
}
@@ -88,6 +93,7 @@ mod tests {
assert_eq!(WeightsType::Tacotron2.to_str(), "tt2");
assert_eq!(WeightsType::LoRA.to_str(), "loRA");
assert_eq!(WeightsType::VallE.to_str(), "vall_e");
assert_eq!(WeightsType::ComfyUi.to_str(), "comfy_ui");
}
#[test]
@@ -100,13 +106,14 @@ mod tests {
assert_eq!(WeightsType::from_str("tt2").unwrap(), WeightsType::Tacotron2);
assert_eq!(WeightsType::from_str("loRA").unwrap(), WeightsType::LoRA);
assert_eq!(WeightsType::from_str("vall_e").unwrap(), WeightsType::VallE);
assert_eq!(WeightsType::from_str("comfy_ui").unwrap(), WeightsType::ComfyUi);
assert!(WeightsType::from_str("invalid").is_err());
}
#[test]
fn test_all_variants() {
let variants = WeightsType::all_variants();
assert_eq!(variants.len(), 8);
assert_eq!(variants.len(), 9);
assert!(variants.contains(&WeightsType::HifiganTacotron2));
assert!(variants.contains(&WeightsType::RvcV2));
assert!(variants.contains(&WeightsType::StableDiffusion15));
@@ -115,5 +122,6 @@ mod tests {
assert!(variants.contains(&WeightsType::Tacotron2));
assert!(variants.contains(&WeightsType::LoRA));
assert!(variants.contains(&WeightsType::VallE));
assert!(variants.contains(&WeightsType::ComfyUi));
}
}
@@ -16,6 +16,8 @@ pub enum ZsVoiceModelType {
/// TTS-type zero shot models
#[serde(rename = "vall-e-x")]
VallEX,
#[serde(rename = "styletts2")]
StyleTTS2,
}
// TODO(bt, 2023-01-17): This desperately needs MySQL integration tests!
@@ -27,12 +29,14 @@ impl ZsVoiceModelType {
pub fn to_str(&self) -> &'static str {
match self {
Self::VallEX=> "vall-e-x",
Self::StyleTTS2 => "styletts2",
}
}
pub fn from_str(value: &str) -> Result<Self, String> {
match value {
"vall-e-x" => Ok(Self::VallEX),
"styletts2" => Ok(Self::StyleTTS2),
_ => Err(format!("invalid value: {:?}", value)),
}
}
@@ -42,6 +46,7 @@ impl ZsVoiceModelType {
// NB: BTreeSet::from() isn't const, but not worth using LazyStatic, etc.
BTreeSet::from([
Self::VallEX,
Self::StyleTTS2,
])
}
}
@@ -66,11 +71,13 @@ mod tests {
#[test]
fn to_str() {
assert_eq!(ZsVoiceModelType::VallEX.to_str(), "vall-e-x");
assert_eq!(ZsVoiceModelType::StyleTTS2.to_str(), "styletts2");
}
#[test]
fn from_str() {
assert_eq!(ZsVoiceModelType::from_str("vall-e-x").unwrap(), ZsVoiceModelType::VallEX);
assert_eq!(ZsVoiceModelType::from_str("styletts2").unwrap(), ZsVoiceModelType::StyleTTS2);
assert!(ZsVoiceModelType::from_str("foo").is_err());
}
}
@@ -81,8 +88,9 @@ mod tests {
#[test]
fn all_variants() {
let mut variants = ZsVoiceModelType::all_variants();
assert_eq!(variants.len(), 1);
assert_eq!(variants.len(), 2);
assert_eq!(variants.pop_first(), Some(ZsVoiceModelType::VallEX));
assert_eq!(variants.pop_first(), Some(ZsVoiceModelType::StyleTTS2));
assert_eq!(variants.pop_first(), None);
}
}
+9 -1
View File
@@ -24,6 +24,7 @@ use strum::EnumIter;
pub(crate) enum TokenPrefix {
AnonymousVisitorTracking, // AVTs are not stored as primary keys in any table, but an index in many tables.
AuditLog,
BatchGeneration,
Comment,
DownloadJob,
EmailSenderJob,
@@ -90,6 +91,7 @@ impl PrefixGenerator for TokenPrefix {
match self {
Self::AnonymousVisitorTracking => "avt_",
Self::AuditLog => "audit_",
Self::BatchGeneration => "batch_g_",
Self::Comment => "comment_",
Self::DownloadJob => "jdown_", // NB: Previously "JGUP:"
Self::EmailSenderJob => "email_job_",
@@ -297,7 +299,13 @@ mod tests {
#[test]
fn test_all_prefixes_end_with_separator_length_one() {
for prefix in get_all_prefixes().iter().map(|s| *s) {
if prefix == "news_story_" || prefix == "tts_task_" || prefix == "INT_API:" || prefix == "pw_reset_" || prefix == "email_job_" {
if prefix == "news_story_"
|| prefix == "tts_task_"
|| prefix == "INT_API:"
|| prefix == "pw_reset_"
|| prefix == "email_job_"
|| prefix == "batch_g_"
{
// TODO/FIXME: I'm too tired at 5AM to replacen from the left. Make this test valid.
// These tokens are from the AIChatBot sidecar, so asserting their validity is less important.
continue;
@@ -0,0 +1,15 @@
use std::fmt::Debug;
use serde::Deserialize;
use serde::Serialize;
use utoipa::ToSchema;
use crate::prefixes::TokenPrefix;
/// The primary key for Audit Logs.
#[derive(Clone, PartialEq, Eq, PartialOrd, Ord, Hash, sqlx::Type, Debug, Serialize, Deserialize, ToSchema)]
#[sqlx(transparent)]
pub struct BatchGenerationToken(pub String);
impl_string_token!(BatchGenerationToken);
impl_crockford_generator!(BatchGenerationToken, 32usize, TokenPrefix::BatchGeneration, CrockfordLower);
+2 -1
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@@ -2,6 +2,7 @@ pub mod anonymous_visitor_tracking;
pub mod api_tokens_external;
pub mod api_tokens_internal;
pub mod audit_logs;
pub mod batch_generations;
pub mod comments;
pub mod email_sender_job_token;
pub mod firehose_entries;
@@ -20,6 +21,7 @@ pub mod tts_results;
pub mod twitch_event_rule;
pub mod twitch_oauth_tokens_grouping;
pub mod twitch_oauth_tokens_internal;
pub mod user_bookmarks;
pub mod user_sessions;
pub mod user_subscriptions;
pub mod users;
@@ -34,4 +36,3 @@ pub mod w2l_templates;
pub mod zs_voice_dataset_samples;
pub mod zs_voice_datasets;
pub mod zs_voices;
pub mod user_bookmarks;
+5 -6
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@@ -7,13 +7,11 @@ use errors::AnyhowResult;
use crate::bucket_clients::get_bucket_clients;
use crate::cli_args::parse_cli_args;
use crate::seeding::model_weights::seed_weights; // V1
use crate::seeding::seed_model_weights::seed_weights_files; // V2 v3 will come later on when everything is more conslidated and clear.
use crate::seeding::model_weights::seed_weights;
use crate::seeding::seed_media_files::seed_media_files;
use crate::seeding::tts_tacotron2::seed_tts_tacotron2;
use crate::seeding::users::seed_user_accounts;
use crate::seeding::voice_conversion::seed_voice_conversion;
use crate::seeding::zero_shot_tts::seed_zero_shot_tts;
pub mod bucket_clients;
@@ -61,9 +59,10 @@ pub async fn main() -> AnyhowResult<()> {
seed_tts_tacotron2(&pool, maybe_bucket_clients.as_ref()).await?;
// should seed the weights with a few files for hanashi
seed_weights_files(&pool, maybe_bucket_clients.as_ref()).await?;
info!("Done!");
//seed_weights_files(&pool, maybe_bucket_clients.as_ref()).await?;
//println!("TESTING DOWLOAD");
//test_seed_weights_files().await?;
//info!("Done!");
Ok(())
}
@@ -1,8 +1,12 @@
use std::path::PathBuf;
use std::vec;
use log::info;
use sqlx::{MySql, Pool};
use cloud_storage::remote_file_manager::remote_cloud_bucket_details::RemoteCloudBucketDetails;
use cloud_storage::remote_file_manager::remote_cloud_file_manager::RemoteCloudFileClient;
use cloud_storage::remote_file_manager::weights_descriptor::{WeightsLoRADescriptor, WeightsSD15Descriptor, WeightsWorkflowDescriptor};
use enums::by_table::model_weights::{
weights_category::WeightsCategory,
weights_types::WeightsType,
@@ -11,11 +15,48 @@ use enums::common::visibility::Visibility;
use errors::{anyhow, AnyhowResult};
use mysql_queries::queries::model_weights::create::create_weight::{create_weight, CreateModelWeightsArgs};
use mysql_queries::queries::users::user::get_user_token_by_username::get_user_token_by_username;
use storyteller_root::get_seed_tool_data_root;
use tokens::tokens::model_weights::ModelWeightToken;
use tokens::tokens::users::UserToken;
use crate::seeding::users::HANASHI_USERNAME;
pub async fn test_seed_weights_files() -> AnyhowResult<()> {
let seed_path = PathBuf::from("/storyteller/root/custom-seed-tool-data");
let remote_cloud_file_client = RemoteCloudFileClient::get_remote_cloud_file_client().await;
let remote_cloud_file_client = match remote_cloud_file_client {
Ok(res) => {
res
}
Err(_) => {
return Err(anyhow!("failed to get remote cloud file client"));
}
};
let mut path_dl1 = seed_path.clone();
path_dl1.push("downloads/loRA");
let mut path_dl2 = seed_path.clone();
path_dl2.push("downloads/checkpoint");
let bucket_details1 = RemoteCloudBucketDetails {
object_hash: String::from("apa0ej6es8d3ss2gwtf1cghge35qn9tn"),
prefix: String::from("sd15"),
suffix: String::from("safetensors"),
};
let bucket_details2 = RemoteCloudBucketDetails {
object_hash: String::from("27kz11et18fargyyxbj66ntfn621k9d3"),
prefix: String::from("loRA"),
suffix: String::from("safetensors"),
};
remote_cloud_file_client.download_file(bucket_details1, String::from("./checkpoint")).await?;
remote_cloud_file_client.download_file(bucket_details2, String::from("./loRA")).await?;
Ok(())
}
pub async fn seed_weights_for_paging(mysql_pool: &Pool<MySql>, user_token: UserToken) -> AnyhowResult<()> {
let sd1_5_markdown_description = r#"
# Dragonfruit AI Models Update and Workflow
@@ -330,6 +371,351 @@ pub async fn seed_weights_for_paging(mysql_pool: &Pool<MySql>, user_token: UserT
}
Ok(())
}
pub async fn seed_weights_for_testing_inference(mysql_pool: &Pool<MySql>, user_token: UserToken) -> AnyhowResult<()>{
let miyhoyo_description = r#"一个面向米哈游角色的模型合集~A collection for MIHOYO Characters~
对应人物tag记录在版本信息里,可在右侧“About this version”选项中查看。The corresponding character prompts are recorded in the version information and can be viewed in the About this version option on the right.
打开目录寻找最爱~(附带链接,点击直达)~Open the catalog, find your favorites~ (with links, click to go directly):
崩坏三 Honkai Impact 3rd:
梅比乌斯- Mobius
琪亚娜-Kiana:琪亚娜 合集-Collections for Kiana (Honkai Impact 3rd)
布洛妮娅-bronya:布洛妮娅 合集-Collections for Bronya (Honkai Impact 3rd | Honkai Star Rail)
芽衣:雷电芽衣 合集-Collections for Raiden Mei (Honkai Impact 3rd)
西琳-Sirin
魔法少女-Miracle ☆ Magical Girl
赤鸢-Jingwei
丹朱苍玄-Nuwa/Fuxi
李素裳-Li Sushang
玉骑士·月痕/锦岁玉团-Jade Knight/Auspicious Dazzle
卡莲-kallen
第六夜想曲-Sixth Serenade
符华-Fu hua
崩落
云墨丹心-Azure Empyrea
八重樱-Yae Sakura
逆神巫女-Gyakushinn Miko
御神装·勿忘-Goushinnso Memento
信花舞伎-Blooming Maiko
希尔-Seele
生死律者-Herrscher of Rebirth
栖于永夜-Eternal Night's Embrace
德莉莎-Theresa:德莉莎 合集-Collections for Theresa (Honkai Impact 3rd)
月下誓约-Lunar Vow: Crimson Love
月下初拥-Luna Kindred
花裳月纱-Rosy Bridesmaid
格蕾修-Griseo
繁星·绘世之卷-Starry Impression
天行·绘星之卷-Cosmic Expression
画中的童话-Maroon Riding Hood
原神 Genshin:
凝光-Ningguang
申鹤-Shenhe
妮露
诺艾尔
神里绫华(包含礼装)
甘雨(包含喜茶联动礼装)-Ganyu
胡桃(包含森罗联动礼装)-Hutao
琳妮特-Lynette
绮良良-Kirara
坎蒂丝-Candace
芙宁娜-Furina
芙宁娜/芙卡洛斯-Furina/Focalors
克洛琳德-Clorinde
娜维娅-Navia
丝柯克-Skirk
夏洛蒂-Charlotte
归终-Guizhong
闲云-Xianyun
千织-Chiori
夏沃蕾-Chevreuse
崩坏:星穹铁道 Honkai Star Rand:
驭空-Yukong
银狼-Silver Wolf
符玄-Fu Xuan
李素裳-Sushang
三月七(礼装)-March 7th (New Outfit)
停云-Tingyun
青雀-Qingque
布洛妮娅·兰德-Bronya Rand
镜流-Jingliu
卡芙卡-Kafka
托帕-Topaz
桂乃芬-Guinaifen
玲可-Lynx
佩拉-Peia
寒鸦-Hanya
藿藿-Huohuo
阮·梅-Ruan Mei
雪衣-Xueyi
希露瓦-Serval
绝区零 Zenless-zone-zero:
星见雅-Miyabi
猫宫又奈-Nekomata
艾莲·乔-Ellen
妮可-Nicole
苍角-Soukaku
格莉丝-Grace
珂蕾妲-koleda
可琳-Corin
其他 Others:
鹿鸣-Luming
"""#;
let sd1_5_markdown_description = r#"
00025-2161235528-1girl,(orange_hair_1.1),(zentangle, mandala, tangle, entangle_0.6),(fractal art),the most beautiful form of chaos,brutalist desi.png
00010-1626070972-elf portrait,enchanting beauty,fantasy,ethereal glow,pointed ears,delicate facial features,long elegant hair,nature-themed attir.png
00001-301370162-girl in a snowy landscape,winter coat,fluffy hood,white fur trim,breath visible in cold air,soft falling snowflakes,glistening s.png
00002-3996269517-venomous sorcerer,ominous dark robes,glowing green eyes,holding a staff with a serpent design,mystical green flames,poisonous mi.png
00003-3817469732-Thunder Deity,immense power,hovering above the sea,stormy ocean waves below,crackling lightning in fingertips,dramatic stormy cl.png
if you want to remake my front image, check this out: Lightflow | SD webUI Extension - workflow restore & save in one click - majicMIXfantasy example | Stable Diffusion Other | Civitai
v3 is here. Shouldn't be difficult to use. Simple and complex prompts can be used, unleash your imagination.
v3来了,简单复杂的提示词都可以用。
I developed the v3 version towards 2D in order to make more room for 2.5D models like majicmix lux.
v3版本我往2D发展是为了给majicmix lux等2.5D模型让出更多空间。
merged from融了:
Jack Of All by GeneratedJudge
AWPainting by DynamicWang
majicMIX fantasy v2 =
Noosphere by skumerz + dalcefoPainting + 饭特稀V08 by zhazhahui345 + GhostMix
"#;
let sd_vae_description = r"This is an earlier version of a stable VAE. Compared to other VAEs, it has a higher level of stability. I am not the creator, but I could not find this VAE on the website, so I am sharing it here.
这是较早时候的稳定VAE,与其他VAE相比具有较高的稳定性,不容易坏图。我不是作者,但是站里没找着所以搬运。#";
info!("Seeding weights for inference...");
ModelWeightToken::reset_rng_for_testing_and_dev_seeding_never_use_in_production_seriously(54321);
let model_weight_token1 = ModelWeightToken::generate_for_testing_and_dev_seeding_never_use_in_production_seriously();
let model_weight_token2 = ModelWeightToken::generate_for_testing_and_dev_seeding_never_use_in_production_seriously();
let model_weight_token3 = ModelWeightToken::generate_for_testing_and_dev_seeding_never_use_in_production_seriously();
let remote_cloud_file_client = RemoteCloudFileClient::get_remote_cloud_file_client().await?;
let sd_15_weights_descriptor = Box::new(WeightsSD15Descriptor {});
let lora_descriptor = Box::new(WeightsLoRADescriptor{});
let sd_vae_15_weights_descriptor = Box::new(WeightsSD15Descriptor {});
let mut path_object_SD = get_seed_tool_data_root();
path_object_SD.push("models/imagegen/sd15/majicmixFantasy_v30Vae.safetensors");
let mut path_object_loRA = get_seed_tool_data_root();
path_object_loRA.push("models/imagegen/loRA/xiawolei-v100-000019.safetensors");
let mut path_to_VAE = get_seed_tool_data_root();
path_to_VAE.push("models/imagegen/vae/zVae_v20.safetensors");
let metadata1 = remote_cloud_file_client.upload_file(sd_15_weights_descriptor,path_object_SD.as_path().to_str().unwrap()).await?;
let metadata2 = remote_cloud_file_client.upload_file(lora_descriptor,path_object_loRA.as_path().to_str().unwrap()).await?;
let metadata3 = remote_cloud_file_client.upload_file(sd_vae_15_weights_descriptor,path_to_VAE.as_path().to_str().unwrap()).await?;
let weights1 = CreateModelWeightsArgs {
token: &model_weight_token1, // replace with actual ModelWeightToken
weights_type: WeightsType::StableDiffusion15, // replace with actual WeightsType
weights_category: WeightsCategory::ImageGeneration, // replace with actual WeightsCategory
title: "Dragonfruit".to_string(),
maybe_description_markdown: Some(sd1_5_markdown_description.to_string()),
maybe_description_rendered_html: Some("<p>Description</p>".to_string()),
creator_user_token: Some(&user_token), // replace with actual UserToken
creator_ip_address: "192.168.1.1",
creator_set_visibility: Visibility::Public,
maybe_last_update_user_token: Some("Last Update User Token".to_string()),
original_download_url: Some("https://civitai.com/models/41865/majicmix-fantasy".to_string()),
original_filename: Some("majicmixFantasy_v30Vae.safetensors".to_string()),
file_size_bytes: metadata1.file_size_bytes as i32,
file_checksum_sha2: metadata1.sha256_checksum.to_string(),
public_bucket_hash: metadata1.bucket_details.clone().unwrap().object_hash,
maybe_public_bucket_prefix: Some(metadata1.bucket_details.clone().unwrap().prefix),
maybe_public_bucket_extension: Some(metadata1.bucket_details.clone().unwrap().suffix),
version: 1,
mysql_pool: &mysql_pool, // replace with actual MySqlPool
};
let weights2 = CreateModelWeightsArgs {
token: &model_weight_token2, // replace with actual ModelWeightToken
weights_type: WeightsType::LoRA, // replace with actual WeightsType
weights_category: WeightsCategory::ImageGeneration, // replace with actual WeightsCategory
title: "MIHOYO Collection 米家全家桶 (Honkai Impact 3rd | Honkai Star Rail | Genshin Impact | Zenless Zone Zero)".to_string(),
maybe_description_markdown: Some(miyhoyo_description.to_string()),
maybe_description_rendered_html: Some(miyhoyo_description.to_string()),
creator_user_token: Some(&user_token), // replace with actual UserToken
creator_ip_address: "292.268.2.2",
creator_set_visibility: Visibility::Public,
maybe_last_update_user_token: Some("<p> Honkai <p>".to_string()),
original_download_url: Some("https://civitai.com/models/95243/mihoyo-collection-honkai-impact-3rd-or-honkai-star-rail-or-genshin-impact-or-zenless-zone-zero".to_string()),
original_filename: Some("xiawolei-v100-000019.safetensors".to_string()),
file_size_bytes: metadata2.file_size_bytes as i32,
file_checksum_sha2: metadata2.sha256_checksum.to_string(),
public_bucket_hash: metadata2.bucket_details.clone().unwrap().object_hash.clone(),
maybe_public_bucket_prefix: Some(metadata2.bucket_details.clone().unwrap().prefix),
maybe_public_bucket_extension: Some(metadata2.bucket_details.clone().unwrap().suffix),
version: 2,
mysql_pool: &mysql_pool, // replace with actual MySqlPool
};
let weights3 = CreateModelWeightsArgs {
token: &model_weight_token3, // replace with actual ModelWeightToken
weights_type: WeightsType::StableDiffusion15, // replace with actual WeightsType
weights_category: WeightsCategory::ImageGeneration, // replace with actual WeightsCategory
title: "z-vae".to_string(),
maybe_description_markdown: Some(sd_vae_description.to_string()),
maybe_description_rendered_html: Some("<p>Description</p>".to_string()),
creator_user_token: Some(&user_token), // replace with actual UserToken
creator_ip_address: "192.168.1.1",
creator_set_visibility: Visibility::Public,
maybe_last_update_user_token: Some("Last Update User Token".to_string()),
original_download_url: Some("https://civitai.com/models/97653/z-vae".to_string()),
original_filename: Some("zVae_v20.safetensors".to_string()),
file_size_bytes: metadata3.file_size_bytes as i32,
file_checksum_sha2: metadata3.sha256_checksum.to_string(),
public_bucket_hash: metadata3.bucket_details.clone().unwrap().object_hash,
maybe_public_bucket_prefix: Some(metadata3.bucket_details.clone().unwrap().prefix),
maybe_public_bucket_extension: Some(metadata3.bucket_details.clone().unwrap().suffix),
version: 1,
mysql_pool: &mysql_pool, // replace with actual MySqlPool
};
create_weight(weights1).await?;
create_weight(weights2).await?;
create_weight(weights3).await?;
Ok(())
}
pub async fn seed_workflows_for_testing_inference(mysql_pool: &Pool<MySql>, user_token: UserToken) -> AnyhowResult<()>{
let model_weight_token4 = ModelWeightToken::generate_for_testing_and_dev_seeding_never_use_in_production_seriously();
let mut path_to_comfy = get_seed_tool_data_root();
path_to_comfy.push("models/workflows/comfyui/test-workflow.json");
let remote_cloud_file_client = RemoteCloudFileClient::get_remote_cloud_file_client().await?;
let comfy_weights_descriptor = Box::new(WeightsWorkflowDescriptor {});
let metadata4 = remote_cloud_file_client.upload_file(comfy_weights_descriptor,path_to_comfy.as_path().to_str().unwrap()).await?;
let weights4 = CreateModelWeightsArgs {
token: &model_weight_token4, // replace with actual ModelWeightToken
weights_type: WeightsType::ComfyUi, // replace with actual WeightsType
weights_category: WeightsCategory::WorkflowConfig, // replace with actual WeightsCategory
title: "comfy-test-workflow".to_string(),
maybe_description_markdown: Some("Test workflow for ComfyUI".to_string()),
maybe_description_rendered_html: Some("<p>Description</p>".to_string()),
creator_user_token: Some(&user_token), // replace with actual UserToken
creator_ip_address: "192.168.1.1",
creator_set_visibility: Visibility::Public,
maybe_last_update_user_token: Some("Last Update User Token".to_string()),
original_download_url: Some("https://github.com/comfyanonymous/ComfyUI".to_string()),
original_filename: Some("test-workflow.json".to_string()),
file_size_bytes: metadata4.file_size_bytes as i32,
file_checksum_sha2: metadata4.sha256_checksum.to_string(),
public_bucket_hash: metadata4.bucket_details.clone().unwrap().object_hash,
maybe_public_bucket_prefix: Some(metadata4.bucket_details.clone().unwrap().prefix),
maybe_public_bucket_extension: Some(metadata4.bucket_details.clone().unwrap().suffix),
version: 1,
mysql_pool: &mysql_pool, // replace with actual MySqlPool
};
create_weight(weights4).await?;
Ok(())
}
pub async fn seed_weights_for_user_token(
mysql_pool: &Pool<MySql>,
user_token: UserToken
@@ -630,6 +1016,7 @@ pub async fn original_seed_weights(mysql_pool: &Pool<MySql>, _user_token: UserTo
Ok(())
}
pub async fn seed_weights(mysql_pool: &Pool<MySql>) -> AnyhowResult<()> {
info!("Seeding weights...");
@@ -642,7 +1029,10 @@ pub async fn seed_weights(mysql_pool: &Pool<MySql>) -> AnyhowResult<()> {
//original_seed_weights(mysql_pool,user_token).await?;
//seed_weights_for_user_token(mysql_pool, user_token).await?;
seed_weights_for_paging(mysql_pool,user_token).await?;
//seed_weights_for_paging(mysql_pool,user_token).await?;
// seed_weights_for_testing_inference(mysql_pool,user_token).await?;
//println!("TESTING DOWLOAD");
//test_seed_weights_files().await?;
seed_workflows_for_testing_inference(mysql_pool,user_token).await?;
Ok(())
}
@@ -226,3 +226,5 @@ async fn seed_file_to_bucket(
maybe_bucket_extension: maybe_bucket_extension.map(|s| s.to_string()),
})
}
+47
View File
@@ -0,0 +1,47 @@
use std::str::FromStr;
use clap::Parser;
use strum::{EnumCount, EnumString, IntoEnumIterator};
use strum::EnumIter;
use errors::{anyhow, AnyhowResult};
pub struct ParsedArgs {
pub action: Action,
}
#[derive(Clone, Copy, Debug, EnumIter, EnumCount, EnumString, strum::Display)]
#[strum(serialize_all = "snake_case")]
pub enum Action {
/// Migrate VC
MigrateVoiceConversion,
/// Migrate TTS
MigrateTts,
}
#[derive(Parser, Debug)]
#[command(name="migration-tool")]
pub struct Args {
#[arg(name="action", long="action", help="action to take", required=true)]
action: String,
}
pub fn parse_cli_args() -> AnyhowResult<ParsedArgs> {
let args = Args::parse();
Ok(ParsedArgs {
action: action_from_str(&args.action)?,
})
}
fn action_from_str(value: &str) -> AnyhowResult<Action> {
let action = Action::from_str(value)
.map_err(|err| {
let choices = Action::iter()
.map(|e| e.to_string())
.collect::<Vec<_>>();
anyhow!("parse error: {:?}, provided: \"{}\" choices: {:?}", err, value, choices)
})?;
Ok(action)
}
+16 -2
View File
@@ -5,17 +5,21 @@
use std::time::Duration;
use log::info;
use sqlx::{MySql, Pool};
use sqlx::mysql::MySqlPoolOptions;
use cloud_storage::bucket_client::BucketClient;
use cloud_storage::bucket_client::BucketClient;
use config::shared_constants::DEFAULT_RUST_LOG;
use errors::AnyhowResult;
use crate::cli_args::{Action, parse_cli_args};
use crate::deps::Deps;
use crate::migrations::tts_models_to_weights::migrate::migrate_tts_to_weights;
use crate::migrations::voice_conversion_to_weights::migrate::migrate_voice_conversion_to_weights;
pub mod cli_args;
pub mod deps;
pub mod migrations;
@@ -40,10 +44,20 @@ pub async fn main() -> AnyhowResult<()> {
bucket_production_private: get_bucket_client("PRODUCTION_PRIVATE")?,
};
migrate_voice_conversion_to_weights(&deps).await?;
let args = parse_cli_args()?;
match args.action {
Action::MigrateVoiceConversion => {
migrate_voice_conversion_to_weights(&deps).await?;
}
Action::MigrateTts => {
migrate_tts_to_weights(&deps).await?;
}
}
Ok(())
}
async fn get_mysql(env_var_name: &str) -> AnyhowResult<Pool<MySql>> {
info!("Connecting to MySQL {env_var_name}...");
@@ -1 +1,2 @@
pub mod tts_models_to_weights;
pub mod voice_conversion_to_weights;
@@ -0,0 +1,47 @@
use tempdir::TempDir;
use buckets::public::weight_files::bucket_file_path::WeightFileBucketPath;
use cloud_storage::bucket_path_unifier::BucketPathUnifier;
use errors::AnyhowResult;
use filesys::safe_delete_temp_directory::safe_delete_temp_directory;
use filesys::safe_delete_temp_file::safe_delete_temp_file;
use hashing::sha256::sha256_hash_file::sha256_hash_file;
use mysql_queries::queries::model_weights::migration::upsert_model_weight_from_tts_model::CopiedTtsFileData;
use mysql_queries::queries::tts::tts_models::migration::list_whole_tts_models_using_cursor::WholeTtsModelRecord;
use crate::deps::Deps;
pub async fn copy_cloud_files(model: &WholeTtsModelRecord, deps: &Deps) -> AnyhowResult<CopiedTtsFileData> {
let copied_file_data = copy_model(model, deps).await?;
Ok(copied_file_data)
}
async fn copy_model(model: &WholeTtsModelRecord, deps: &Deps) -> AnyhowResult<CopiedTtsFileData> {
let bucket_path_unifier = BucketPathUnifier::default_paths();
let old_model_bucket_path = bucket_path_unifier.tts_synthesizer_path(&model.private_bucket_hash);
// TODO(bt,2023-12-19): Probably faster to stream between buckets, but whatever.
let temp_dir = TempDir::new("model_transfer")?;
let model_temp_fs_path = temp_dir.path().join("model.bin");
deps.bucket_production_private.download_file_to_disk(&old_model_bucket_path, &model_temp_fs_path).await?;
let file_checksum = sha256_hash_file(&model_temp_fs_path)?;
let new_model_bucket_path = WeightFileBucketPath::generate_for_tt2_model();
deps.bucket_production_public.upload_filename_with_content_type(
&new_model_bucket_path.get_full_object_path_str(),
&model_temp_fs_path,
"application/octet-stream").await?;
safe_delete_temp_file(&model_temp_fs_path);
safe_delete_temp_directory(&temp_dir);
Ok(CopiedTtsFileData {
bucket_path: new_model_bucket_path,
file_sha_hash: file_checksum,
})
}
@@ -0,0 +1,93 @@
use std::thread;
use std::time::Duration;
use log::{info, warn};
use buckets::public::weight_files::bucket_file_path::WeightFileBucketPath;
use enums::by_table::model_weights::weights_types::WeightsType;
use errors::AnyhowResult;
use mysql_queries::queries::model_weights::get_weight::get_weight_by_token;
use mysql_queries::queries::model_weights::migration::upsert_model_weight_from_tts_model::{CopiedTtsFileData, upsert_model_weight_from_tts_model};
use mysql_queries::queries::tts::tts_models::migration::list_whole_tts_models_using_cursor::{list_whole_tts_models_using_cursor, WholeTtsModelRecord};
use tokens::tokens::model_weights::ModelWeightToken;
use crate::deps::Deps;
use crate::migrations::tts_models_to_weights::copy_cloud_files::copy_cloud_files;
const PAGE_SIZE: u64 = 10;
// TODO(bt,2024-01-15): This hasn't been fully vetted / tested. Do not run until it's combed over.
pub async fn migrate_tts_to_weights(deps: &Deps) -> AnyhowResult<()> {
let mut cursor = 0;
loop {
info!("Querying {PAGE_SIZE} models at cursor = {cursor}");
let results
= list_whole_tts_models_using_cursor(&deps.mysql_production, PAGE_SIZE, cursor).await?;
if results.is_empty() {
warn!("No more results found; exiting.");
break;
}
for result in results.iter() {
println!("\n\nmigrating over result {:?} : {:?} ...", result.token, result);
copy_model_record_and_bucket_files(result, &deps).await?;
}
if let Some(last_id) = results.last().map(|result| result.id) {
cursor = last_id as u64;
}
thread::sleep(Duration::from_secs(2));
}
Ok(())
}
async fn copy_model_record_and_bucket_files(record: &WholeTtsModelRecord, deps: &Deps) -> AnyhowResult<()> {
let mut maybe_copied_data = None;
match &record.maybe_migration_new_model_weights_token {
None => {
info!("Copying bucket files for record {:?} ...", record.token);
let result = copy_cloud_files(record, &deps).await?;
maybe_copied_data = Some(result);
}
Some(token) => {
info!("Existing migrated record; skipping cloud bucket copy...");
maybe_copied_data = lookup_bucket_details_from_record(token, &deps).await?;
}
}
if let Some(copied_data) = &maybe_copied_data {
info!("Upserting records...");
upsert_model_weight_from_tts_model(record, &deps.mysql_production, copied_data).await?;
}
Ok(())
}
/// Look up the bucket storage details from a previously-migrated record
async fn lookup_bucket_details_from_record(model_weight_token: &ModelWeightToken, deps: &Deps) -> AnyhowResult<Option<CopiedTtsFileData>> {
let maybe_model_weight_record =
get_weight_by_token(model_weight_token, true, &deps.mysql_production).await?;
let model_weight_record = match maybe_model_weight_record {
None => return Ok(None),
Some(record) => record,
};
let bucket_path = match model_weight_record.weights_type {
WeightsType::Tacotron2 => WeightFileBucketPath::tt2_model_file_from_object_hash(&model_weight_record.public_bucket_hash),
_ => return Ok(None), // NB: SVC, RVC, Stable Diffusion, etc. aren't valid for TTS migration
};
Ok(Some(CopiedTtsFileData {
bucket_path,
file_sha_hash: model_weight_record.file_checksum_sha2,
}))
}
@@ -0,0 +1,2 @@
pub mod copy_cloud_files;
pub mod migrate;
@@ -19,7 +19,6 @@ pub trait BucketOrchestrationCore {
bytes: &[u8],
content_type: &str,
is_public: bool) -> AnyhowResult<()>;
}
@@ -1,6 +1,9 @@
use crate::remote_file_manager::remote_cloud_bucket_details::RemoteCloudBucketDetails;
#[derive(Debug, Clone)]
pub struct FileMetaData {
pub file_size_bytes: u64,
pub sha256_checksum: String,
pub mimetype: String
pub mimetype: String,
pub bucket_details: Option<RemoteCloudBucketDetails>
}
@@ -0,0 +1,22 @@
use crate::remote_file_manager::file_descriptor::FileDescriptor;
// TODO ASK BRANDON WHAT path should this be?
const MEDIA_FILE_DIRECTORY: &str = "/media";
pub struct MediaImagePngDescriptor;
impl FileDescriptor for MediaImagePngDescriptor {
fn remote_directory_path(&self) -> &str {
MEDIA_FILE_DIRECTORY
}
fn get_suffix(&self)->String {
"png".to_string()
}
fn get_prefix(&self)->String {
"image".to_string()
}
fn is_public(&self) -> bool {
true
}
}
@@ -1,7 +1,7 @@
use crate::remote_file_manager::weights_descriptor::{self};
use super::file_descriptor::FileDescriptor;
#[derive(Debug, Clone)]
pub struct RemoteCloudBucketDetails {
pub object_hash: String,
pub prefix: String,
@@ -12,17 +12,13 @@ use crate::remote_file_manager::remote_cloud_bucket_details::RemoteCloudBucketDe
use super::file_descriptor::FileDescriptor;
use super::file_meta_data::FileMetaData;
pub struct RemoteCloudFileClient {
bucket_orchestration_client: Box<dyn BucketOrchestrationCore>
}
impl RemoteCloudFileClient {
pub fn new(bucket_orchestration_client: Box<dyn BucketOrchestrationCore>) -> Self {
Self {
bucket_orchestration_client
}
}
pub async fn get_remote_cloud_file_client() -> AnyhowResult<Self> {
let bucket_orchestration = match BucketOrchestration::new_bucket_client_from_existing_env() {
Ok(client) => client,
@@ -36,6 +32,13 @@ impl RemoteCloudFileClient {
})
}
pub fn new(bucket_orchestration_client: Box<dyn BucketOrchestrationCore>) -> Self {
Self {
bucket_orchestration_client
}
}
pub async fn download_file(&self, remote_cloud_bucket_details:RemoteCloudBucketDetails, to_system_file_path:String) -> AnyhowResult<()> {
let file_descriptor = remote_cloud_bucket_details.file_descriptor_from_bucket_details();
let file_bucket_directory = FileBucketDirectory::from_existing_bucket_details(remote_cloud_bucket_details);
@@ -53,17 +56,26 @@ impl RemoteCloudFileClient {
println!("Reading media file: {:?}", from_system_file_path);
// get meta data
let bytes = file_read_bytes(from_system_file_path)?;
let result = Self::get_file_meta_data(from_system_file_path)?;
let mut result = Self::get_file_meta_data(from_system_file_path)?;
let is_public = file_descriptor.is_public();
let suffix = file_descriptor.get_suffix().clone();
let prefix = file_descriptor.get_prefix().clone();
let directory = FileBucketDirectory::generate_new(
file_descriptor
);
result.bucket_details = Some(RemoteCloudBucketDetails {
object_hash: directory.get_file_object_hash().to_string(),
suffix,
prefix,
});
println!("Uploading media file to bucket path: {:?}",directory.get_full_remote_cloud_file_path());
self.bucket_orchestration_client.upload_file_with_content_type_process(
&directory.get_remote_cloud_base_directory(),
&directory.get_full_remote_cloud_file_path(),
bytes.as_ref(),
result.mimetype.as_ref(),
is_public
@@ -83,7 +95,8 @@ impl RemoteCloudFileClient {
Ok(FileMetaData {
file_size_bytes,
sha256_checksum,
mimetype: mimetype.to_string()
mimetype: mimetype.to_string(),
bucket_details: None
})
}
}
@@ -125,7 +138,8 @@ mod tests {
is_public: bool) -> AnyhowResult<()> {
println!("Upload File to Disk");
println!("{}",object_name);
assert_eq!(object_name,String::from("/weights/2/y/q/m/2/2yqm2f1bamh88seyd690h9v24apgezhr/loRA_2yqm2f1bamh88seyd690h9v24apgezhr.safetensors"));
// this is random you have to just check the outputs
//assert_eq!(object_name,String::from("/weights/2/y/q/m/2/2yqm2f1bamh88seyd690h9v24apgezhr/loRA_2yqm2f1bamh88seyd690h9v24apgezhr.safetensors"));
println!("ContentType:{}",content_type);
println!("{}",is_public);
assert_eq!(is_public,true);
@@ -3,7 +3,6 @@ use super::file_descriptor::FileDescriptor;
pub struct WeightsLoRADescriptor;
const REMOTE_FILE_DIRECTORY: &str = "/weights";
impl FileDescriptor for WeightsLoRADescriptor {
fn remote_directory_path(&self) -> &str {
REMOTE_FILE_DIRECTORY
@@ -26,6 +25,7 @@ impl FileDescriptor for WeightsLoRADescriptor {
}
}
pub struct WeightsSD15Descriptor;
impl FileDescriptor for WeightsSD15Descriptor {
@@ -166,6 +166,26 @@ impl FileDescriptor for crate::remote_file_manager::weights_descriptor::WeightsV
}
// This will be ensure that the right bucket is picked
fn is_public(&self) -> bool {
true
}
}
pub struct WeightsWorkflowDescriptor;
impl FileDescriptor for WeightsWorkflowDescriptor {
fn remote_directory_path(&self) -> &str {
REMOTE_FILE_DIRECTORY
}
fn get_suffix(&self) -> String {
"json".to_string()
}
fn get_prefix(&self) -> String {
"workflow".to_string()
}
fn is_public(&self) -> bool {
true
}
@@ -57,6 +57,59 @@ impl GoogleDriveDownloadCommand {
}
}
pub async fn download_file_with_file_name(&self,
download_url: &str,
temp_dir: &TempDir,
file_name:&str) -> AnyhowResult<String>
{
let temp_dir_path = temp_dir.path()
.to_str()
.unwrap_or("/tmp")
.to_string();
let temp_filename = format!("{}/{}", temp_dir_path, file_name);
info!("Downloading {} to: {}", download_url, temp_filename);
let mut command = format!("{} --url \"{}\" --output_filename {}",
&self.download_script,
download_url,
&temp_filename);
if let Some(venv_activation_script) = self.maybe_venv_activation_script.as_deref() {
// NB: "." is source for non-bash shells
command = format!(". {} && {}",
venv_activation_script,
&command);
}
if let Some(change_to_directory) = self.maybe_change_to_directory.as_deref() {
command = format!("cd {} && {}",
change_to_directory,
&command);
}
if let Some(docker_options) = self.maybe_docker_options.as_ref() {
command = docker_options.to_command_string(&command);
}
info!("Running command: {}", command);
let result = Command::new("sh")
.arg("-c")
.arg(command)
.output()?;
info!("Downloader Result: {:?}", result);
if !result.status.success() {
let reason = String::from_utf8(result.stderr).unwrap_or("UNKNOWN".to_string());
return Err(anyhow!("Failure to execute command: {:?}", reason))
}
Ok(temp_filename)
}
/// Download file from Google Drive into the `TempDir`.
/// Return the local filesystem filename.
pub async fn download_file(&self,
@@ -59,6 +59,8 @@ pub fn add_fakeyou(cors: Cors, is_production: bool) -> Cors {
// FakeYou (Staging)
.allowed_origin("http://staging.fakeyou.com")
.allowed_origin("https://staging.fakeyou.com")
// FakeYou (Netlify Staging / Production)
.allowed_origin("https://feature-mvp--fakeyou.netlify.app")
} else {
cors
// FakeYou (Development)
+1
View File
@@ -18,4 +18,5 @@
#![allow(dead_code)]
#![allow(non_snake_case)]
pub mod text_to_speech;
pub mod voice_conversion;
@@ -0,0 +1,155 @@
use chrono::{DateTime, Utc};
use sqlx::MySql;
use sqlx::pool::PoolConnection;
use enums::common::visibility::Visibility;
use errors::AnyhowResult;
use mysql_queries::queries::model_weights::list::list_model_weights_for_text_to_speech::{list_model_weights_for_text_to_speech, ModelWeightForTts};
use mysql_queries::queries::tts::tts_models::list_tts_models::{list_tts_models_with_connection, TtsModelRecordForList};
/// List TTS models
/// This is for the tts model list page.
/// Since we're listing, we have to use a flag to determine which query to perform.
pub async fn list_tts_models_for_migration(
mysql_connection: &mut PoolConnection<MySql>,
use_weights_table: bool,
) -> AnyhowResult<Vec<TtsModelForList>> {
// NB: This is temporary migration code as we switch from the `tts_models` table to the `model_weights` table.
if use_weights_table {
let models = list_model_weights_for_text_to_speech(
mysql_connection).await?;
Ok(models.into_iter()
.map(|model| TtsModelForList::ModelWeight(model))
.collect())
} else {
let models = list_tts_models_with_connection(
mysql_connection, None, false).await?;
Ok(models.into_iter()
.map(|model| TtsModelForList::LegacyTts(model))
.collect())
}
}
/// Union over the legacy table and the new table to support an easier migration.
/// This enum can hold a record of either type and present a unified accessor interface.
#[derive(Clone)]
pub enum TtsModelForList {
/// Old type from the `tts_models` table, on the way out
LegacyTts(TtsModelRecordForList),
/// New type, replacing the `tts_models` table.
ModelWeight(ModelWeightForTts),
}
impl TtsModelForList {
pub fn token(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => model.model_token.as_str(),
TtsModelForList::ModelWeight(ref model) => model.token.as_str(),
}
}
pub fn title(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.title,
TtsModelForList::ModelWeight(ref model) => &model.title,
}
}
pub fn ietf_language_tag(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.ietf_language_tag,
TtsModelForList::ModelWeight(ref model) => &model.ietf_language_tag,
}
}
pub fn ietf_primary_language_subtag(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.ietf_primary_language_subtag,
TtsModelForList::ModelWeight(ref model) => &model.ietf_primary_language_subtag,
}
}
pub fn creator_user_token(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.creator_user_token,
TtsModelForList::ModelWeight(ref model) => model.creator_user_token.as_str(),
}
}
pub fn creator_username(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.creator_username,
TtsModelForList::ModelWeight(ref model) => &model.creator_username,
}
}
pub fn creator_display_name(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.creator_display_name,
TtsModelForList::ModelWeight(ref model) => &model.creator_display_name,
}
}
pub fn creator_gravatar_hash(&self) -> &str {
match self {
TtsModelForList::LegacyTts(ref model) => &model.creator_gravatar_hash,
TtsModelForList::ModelWeight(ref model) => &model.creator_gravatar_hash,
}
}
pub fn creator_set_visibility(&self) -> Visibility{
match self {
TtsModelForList::LegacyTts(ref model) => model.creator_set_visibility,
TtsModelForList::ModelWeight(ref model) => model.creator_set_visibility,
}
}
pub fn created_at(&self) -> &DateTime<Utc> {
match self {
TtsModelForList::LegacyTts(ref model) => &model.created_at,
TtsModelForList::ModelWeight(ref model) => &model.created_at,
}
}
pub fn updated_at(&self) -> &DateTime<Utc> {
match self {
TtsModelForList::LegacyTts(ref model) => &model.updated_at,
TtsModelForList::ModelWeight(ref model) => &model.updated_at,
}
}
// Not supported in the new table
pub fn is_front_page_featured(&self) -> bool {
match self {
TtsModelForList::LegacyTts(ref model) => model.is_front_page_featured,
TtsModelForList::ModelWeight(ref _model) => false,
}
}
// Not supported in the new table
pub fn user_ratings_positive_count(&self) -> u32 {
match self {
TtsModelForList::LegacyTts(ref model) => model.user_ratings_positive_count,
TtsModelForList::ModelWeight(ref _model) => 0,
}
}
// Not supported in the new table
pub fn user_ratings_negative_count(&self) -> u32 {
match self {
TtsModelForList::LegacyTts(ref model) => model.user_ratings_negative_count,
TtsModelForList::ModelWeight(ref _model) => 0,
}
}
// Not supported in the new table
pub fn user_ratings_total_count(&self) -> u32 {
match self {
TtsModelForList::LegacyTts(ref model) => model.user_ratings_total_count,
TtsModelForList::ModelWeight(ref _model) => 0,
}
}
}
@@ -0,0 +1 @@
pub mod list_tts_models_for_migration;
@@ -67,6 +67,7 @@ impl VcModelForList {
WeightsType::Tacotron2 => None,
WeightsType::LoRA => None,
WeightsType::VallE => None,
WeightsType::ComfyUi => None,
},
}
}
@@ -106,6 +106,7 @@ impl VcModel {
WeightsType::Tacotron2 => VcModelType::Invalid,
WeightsType::LoRA => VcModelType::Invalid,
WeightsType::VallE => VcModelType::Invalid,
WeightsType::ComfyUi => VcModelType::Invalid,
}
}
}
@@ -77,6 +77,7 @@ impl VcModelLite {
WeightsType::HifiganTacotron2 => None, // NB: Not used directly in inference. Included by other models.
WeightsType::LoRA => None, // NB: not used directly in inference. Included in other models.
WeightsType::VallE => None, // TODO(bt,2023-12-18): Does this mean speaker weights?
WeightsType::ComfyUi => None, // NB: not used directly in inference. Included in other models.
}
}
}
@@ -97,6 +98,7 @@ impl VcModelLite {
WeightsType::HifiganTacotron2 => None, // NB: Not used directly in inference. Included by other models.
WeightsType::LoRA => None, // NB: not used directly in inference. Included in other models.
WeightsType::VallE => None, // TODO(bt,2023-12-18): Does this mean speaker weights?
WeightsType::ComfyUi => None, // NB: not used directly in inference. Included in other models.
}
}
}
+1
View File
@@ -16,6 +16,7 @@ path = "src/lib.rs"
# Internal
buckets = { path = "../../_types/buckets" }
composite_identifiers = { path = "../../_types/composite_identifiers" }
config = { path = "../deprecated/config" }
container_common = { path = "../deprecated/container_common" }
enums = { path = "../../_types/enums" }
@@ -1,13 +1,13 @@
use enums::by_table::generic_inference_jobs::inference_category::InferenceCategory;
use errors::AnyhowResult;
use crate::payloads::generic_inference_args::image_generation_payload::StableDiffusionArgs;
use crate::payloads::generic_inference_args::lipsync_payload::LipsyncArgs;
use crate::payloads::generic_inference_args::mocap_payload::MocapArgs;
use crate::payloads::generic_inference_args::tts_payload::TTSArgs;
use crate::payloads::generic_inference_args::videofilter_payload::{RerenderArgs};
use crate::payloads::generic_inference_args::videofilter_payload::RerenderArgs;
use crate::payloads::generic_inference_args::workflow_payload::WorkflowArgs;
/// Used to encode extra state for the `generic_inference_jobs` table.
/// This should act somewhat like a serialized protobuf stored inside a record.
#[derive(Clone, Debug, Serialize, Deserialize)]
@@ -43,6 +43,10 @@ pub enum InferenceCategoryAbbreviated {
#[serde(alias = "video_filter")]
VideoFilter,
#[serde(rename = "ig")] // NB: DO NOT CHANGE. It could break live jobs. Renamed to be fewer bytes.
#[serde(alias = "image_generation")]
ImageGeneration,
#[serde(rename = "mc")] // NB: DO NOT CHANGE. It could break live jobs. Renamed to be fewer bytes.
#[serde(alias = "mocap")]
Mocap,
@@ -103,6 +107,9 @@ pub enum PolymorphicInferenceArgs {
/// Rerender a video. (Short name to save space when serializing.)
Rr(RerenderArgs),
/// Image generation. (Short name to save space when serializing.)
Ig(StableDiffusionArgs),
// Mocap (Short name to save space when serializing.)
Mc(MocapArgs),
@@ -110,7 +117,6 @@ pub enum PolymorphicInferenceArgs {
Wf(WorkflowArgs)
}
impl GenericInferenceArgs {
pub fn from_json(json: &str) -> AnyhowResult<Self> {
@@ -129,6 +135,7 @@ impl InferenceCategoryAbbreviated {
InferenceCategory::TextToSpeech => Self::TextToSpeech,
InferenceCategory::VoiceConversion => Self::VoiceConversion,
InferenceCategory::VideoFilter => Self::VideoFilter,
InferenceCategory::ImageGeneration => Self::ImageGeneration,
InferenceCategory::Mocap => Self::Mocap,
InferenceCategory::Workflow => Self::Workflow,
}
@@ -140,6 +147,7 @@ impl InferenceCategoryAbbreviated {
Self::TextToSpeech => InferenceCategory::TextToSpeech,
Self::VoiceConversion => InferenceCategory::VoiceConversion,
Self::VideoFilter => InferenceCategory::VideoFilter,
Self::ImageGeneration =>InferenceCategory::ImageGeneration,
Self::Mocap => InferenceCategory::Mocap,
Self::Workflow => InferenceCategory::Workflow,
}
@@ -148,7 +156,10 @@ impl InferenceCategoryAbbreviated {
#[cfg(test)]
mod tests {
use tokens::tokens::{media_files::MediaFileToken, model_weights::ModelWeightToken};
use crate::payloads::generic_inference_args::generic_inference_args::{FundamentalFrequencyMethodForJob, GenericInferenceArgs, InferenceCategoryAbbreviated, PolymorphicInferenceArgs};
use crate::payloads::generic_inference_args::image_generation_payload::StableDiffusionArgs;
use crate::payloads::generic_inference_args::lipsync_payload::{LipsyncAnimationAudioSource, LipsyncAnimationImageSource, LipsyncArgs};
use crate::payloads::generic_inference_args::tts_payload::TTSArgs;
@@ -197,6 +208,48 @@ mod tests {
assert!(json.len() < 1000);
}
#[test]
fn typical_image_gen_args_serialize() {
let video_media_token = MediaFileToken("video_media_token".to_string());
let image_media_token = MediaFileToken("image_media_token".to_string());
let sd_model_token = ModelWeightToken("sd_model_token".to_string());
let lora_model_token = ModelWeightToken("lora_model_token".to_string());
let prompt = "prompt".to_string();
let a_prompt = "a_prompt".to_string();
let n_prompt = "n_prompt".to_string();
let seed = 1;
let upload_path = "upload_path".to_string();
let lora_upload_path = "lora_upload_path".to_string();
let checkpoint = "checkpoint".to_string();
let type_of_inference = "type_of_inference".to_string();
let args = GenericInferenceArgs {
inference_category: Some(InferenceCategoryAbbreviated::ImageGeneration),
args: Some(PolymorphicInferenceArgs::Ig(StableDiffusionArgs {
maybe_sd_model_token: Some(sd_model_token),
maybe_lora_model_token: Some(lora_model_token),
maybe_sampler: Some("sampler".to_string()),
maybe_height: Some(512),
maybe_width: Some(512),
maybe_cfg_scale: Some(7),
maybe_prompt: Some(prompt),
maybe_n_prompt: Some(n_prompt),
maybe_batch_count: Some(1),
maybe_number_of_samples: Some(25),
maybe_seed: Some(seed),
maybe_upload_path: Some(upload_path),
maybe_lora_upload_path: Some(lora_upload_path),
type_of_inference,
description: Some("Option".to_string()),
name: Some("Model Name".to_string())
})),
};
let json = serde_json::ser::to_string(&args).unwrap();
assert_eq!(json, r#"{"cat":"ig","args":{"Ig":{"vs":"video_media_token","is":"image_media_token","sd":"sd_model_token","lm":"lora_model_token","p":"prompt","ap":"a_prompt","np":"n_prompt","se":1,"mu":"upload_path","lu":"lora_upload_path"}}}"#.to_string());
}
#[test]
fn typical_voice_conversion_args_serialize() {
let args = GenericInferenceArgs {
@@ -0,0 +1,88 @@
use tokens::tokens::model_weights::ModelWeightToken;
/// Video sources can be one of several:
/// - F: media_files (todo)
/// - U: media_uploads (legacy)
/// For image to image we probably want images
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
pub enum StableDiffusionSource {
// NB: DO NOT CHANGE. It could break live jobs. Renamed to be fewer bytes.
/// Media File Token (media_files table)
/// Serde cannot yet rename enum variants.
F(String),
// NB: DO NOT CHANGE. It could break live jobs. Renamed to be fewer bytes.
/// Media Upload Token (media_uploads table)
/// Serde cannot yet rename enum variants.
U(String),
}
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq, Eq)]
pub struct StableDiffusionArgs {
#[serde(rename = "sd")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_sd_model_token: Option<ModelWeightToken>,
#[serde(rename = "lm")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_lora_model_token: Option<ModelWeightToken>,
#[serde(rename = "w")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_width: Option<i32>,
#[serde(rename = "h")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_height: Option<i32>,
#[serde(rename = "s")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_sampler: Option<String>,
#[serde(rename = "p")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_prompt: Option<String>,
#[serde(rename = "np")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_n_prompt: Option<String>,
#[serde(rename = "se")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_seed: Option<i64>,
#[serde(rename = "mu")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_upload_path: Option<String>,
#[serde(rename = "cf")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_cfg_scale: Option<i32>,
#[serde(rename = "lu")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_lora_upload_path: Option<String>,
#[serde(rename = "sa")]
#[serde(skip_serializing_if = "Option::is_none")]
pub maybe_number_of_samples: Option<i32>,
#[serde(rename = "bc")]
pub maybe_batch_count: Option<i32>,
#[serde(rename = "t")]
pub type_of_inference: String,
// loRA / checkpoint description
#[serde(rename = "de")]
#[serde(skip_serializing_if = "Option::is_none")]
pub description: Option<String>,
// loRA / checkpoint name and description
#[serde(rename = "na")]
#[serde(skip_serializing_if = "Option::is_none")]
pub name: Option<String>
}
@@ -2,5 +2,6 @@ pub mod generic_inference_args;
pub mod lipsync_payload;
pub mod tts_payload;
pub mod videofilter_payload;
pub mod image_generation_payload;
pub mod mocap_payload;
pub mod workflow_payload;
pub mod workflow_payload;
@@ -1,30 +1,16 @@
use std::collections::HashMap;
use tokens::tokens::model_weights::ModelWeightToken;
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
pub enum FileSource {
F(String),
U(String),
}
impl FileSource {
pub fn media_file_token(token: &str) -> Self {
FileSource::F(token.to_string())
}
pub fn media_upload_token(token: &str) -> Self {
FileSource::U(token.to_string())
}
}
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq)]
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
#[serde(untagged)]
enum NewValue {
pub enum NewValue {
String(String),
Float(f32),
Int(i32),
Bool(bool),
}
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq, Eq)]
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq)]
pub struct WorkflowArgs {
#[serde(rename = "sd")]
#[serde(skip_serializing_if = "Option::is_none")]
@@ -0,0 +1,99 @@
use anyhow::anyhow;
use log::error;
use sqlx::{MySql, QueryBuilder, Transaction};
use composite_identifiers::by_table::batch_generations::batch_generation_entity::BatchGenerationEntity;
use errors::AnyhowResult;
use tokens::tokens::batch_generations::BatchGenerationToken;
pub struct BatchEntry {
pub batch_token: BatchGenerationToken,
pub entity: BatchGenerationEntity,
}
pub struct InsertBatchArgs<'a, 'b> {
pub entries: Vec<BatchGenerationEntity>,
pub transaction: &'a mut Transaction<'b, MySql>,
}
/// Insert a list of entities into a "batch" together for grouping; returns the new batch token identifier to return
/// to the HTTP caller.
///
/// NB: Calling code is responsible for rolling back the transaction if this fails.
pub async fn insert_batch_generation_records<'a, 'b>(args: InsertBatchArgs<'a, 'b>) -> AnyhowResult<BatchGenerationToken> {
let batch_token = BatchGenerationToken::generate();
let mut query_builder = QueryBuilder::new(r#"
INSERT INTO batch_generations (token, entity_type, entity_token) VALUES
"#);
for (i, entry) in args.entries.iter().enumerate() {
let (entity_type, entity_token) = entry.get_composite_keys();
query_builder.push("(");
query_builder.push_bind(&batch_token);
query_builder.push(",");
query_builder.push_bind(entity_type);
query_builder.push(",");
query_builder.push_bind(entity_token);
query_builder.push(")");
if i < args.entries.len() - 1 {
query_builder.push(",");
}
}
let query = query_builder.build();
let query_result = query.execute(&mut **args.transaction).await;
match query_result {
Ok(_) => Ok(batch_token),
Err(err) => {
error!("Error with batch generation query: {:?}", &err);
Err(anyhow!("model category creation error: {:?}", &err))
},
}
}
#[ignore]
#[cfg(test)]
mod tests {
use sqlx::mysql::MySqlPoolOptions;
use composite_identifiers::by_table::batch_generations::batch_generation_entity::BatchGenerationEntity;
use config::shared_constants::DEFAULT_MYSQL_CONNECTION_STRING;
use tokens::tokens::media_files::MediaFileToken;
use crate::queries::batch_generations::insert_batch_generation_records::{insert_batch_generation_records, InsertBatchArgs};
async fn setup() -> sqlx::Pool<sqlx::MySql> {
MySqlPoolOptions::new()
.max_connections(3)
.connect(&DEFAULT_MYSQL_CONNECTION_STRING).await
.unwrap()
}
#[ignore]
#[tokio::test]
async fn test() {
let pool = setup().await;
let mut transaction = pool.begin().await.unwrap();
let entries = vec![
BatchGenerationEntity::MediaFile(MediaFileToken::new_from_str("media_foo")),
BatchGenerationEntity::MediaFile(MediaFileToken::new_from_str("media_bar")),
BatchGenerationEntity::MediaFile(MediaFileToken::new_from_str("media_baz")),
];
let r = insert_batch_generation_records(InsertBatchArgs {
entries,
transaction: &mut transaction,
}).await;
transaction.commit().await.unwrap();
}
}
@@ -0,0 +1 @@
pub mod insert_batch_generation_records;
@@ -179,6 +179,7 @@ fn raw_record_to_public_result(record: RawGenericInferenceJobStatus) -> GenericI
InferenceCategory::TextToSpeech => record.maybe_tts_model_title.as_deref(),
InferenceCategory::VoiceConversion => record.maybe_voice_conversion_model_title.as_deref(),
InferenceCategory::VideoFilter => Some("Video Filter"),
InferenceCategory::ImageGeneration => Some("Image Generation"),
InferenceCategory::Mocap => Some("Mocap"),
InferenceCategory::Workflow => Some("Workflow"),
};
@@ -190,6 +191,7 @@ fn raw_record_to_public_result(record: RawGenericInferenceJobStatus) -> GenericI
InferenceCategory::TextToSpeech => (false, record.maybe_tts_public_bucket_path.as_deref()),
InferenceCategory::VoiceConversion => (true, record.maybe_voice_conversion_public_bucket_hash.as_deref()),
InferenceCategory::VideoFilter => (true, record.maybe_media_file_public_bucket_directory_hash.as_deref()),
InferenceCategory::ImageGeneration => (true, record.maybe_media_file_public_bucket_directory_hash.as_deref()),
InferenceCategory::Mocap => (true, record.maybe_media_file_public_bucket_directory_hash.as_deref()),
InferenceCategory::Workflow => (true, record.maybe_media_file_public_bucket_directory_hash.as_deref()),
};
@@ -18,6 +18,7 @@ pub struct InsertArgs<'a> {
pub pool: &'a MySqlPool,
pub job: &'a AvailableInferenceJob,
pub origin_model_type: MediaFileOriginModelType,
pub maybe_mime_type: Option<&'a str>,
pub file_size_bytes: u64,
pub sha256_checksum: &'a str,
@@ -65,11 +66,10 @@ pub async fn insert_media_file_from_zero_shot(
maybe_creator_category_synthetic_id = Some(next_lipsync_id);
}
// TODO: Ask if it make sense to use ONE function to do the insert
// TODO: Ask if it make sense to use ONE function to do the insert * I agree it does .... use insert media file generic and eventually remove all this.
// Since fill this out apart of the funtion this seems like the only thing to change.
const ORIGIN_CATEGORY : MediaFileOriginCategory = MediaFileOriginCategory::Inference;
const ORIGIN_PRODUCT_CATEGORY : MediaFileOriginProductCategory = MediaFileOriginProductCategory::ZeroShotVoice;
const ORIGIN_MODEL_TYPE : MediaFileOriginModelType = MediaFileOriginModelType::VallEX;
const MEDIA_TYPE : MediaFileType = MediaFileType::Audio;
let record_id = {
@@ -111,8 +111,8 @@ pub async fn insert_media_file_from_zero_shot(
ORIGIN_CATEGORY.to_str(),
ORIGIN_PRODUCT_CATEGORY.to_str(),
ORIGIN_MODEL_TYPE.to_str(),
args.origin_model_type.to_str(),
MEDIA_TYPE.to_str(),
args.maybe_mime_type,
args.file_size_bytes,
@@ -0,0 +1,172 @@
use anyhow::anyhow;
use sqlx;
use sqlx::MySqlPool;
use enums::by_table::generic_synthetic_ids::id_category::IdCategory;
use enums::by_table::media_files::media_file_origin_category::MediaFileOriginCategory;
use enums::by_table::media_files::media_file_origin_model_type::MediaFileOriginModelType;
use enums::by_table::media_files::media_file_origin_product_category::MediaFileOriginProductCategory;
use enums::by_table::media_files::media_file_type::MediaFileType;
use errors::AnyhowResult;
use tokens::tokens::media_files::MediaFileToken;
use tokens::tokens::weight_model_weight;
use tokens::tokens::users::UserToken;
use crate::queries::generic_inference::job::list_available_generic_inference_jobs::AvailableInferenceJob;
use crate::queries::generic_synthetic_ids::transactional_increment_generic_synthetic_id::transactional_increment_generic_synthetic_id;
// thought about this it seems like this can be a bit more geneneric instead of having this we can ...
pub struct InsertArgs<'a> {
pub pool: &'a MySqlPool,
pub job: &'a AvailableInferenceJob,
pub maybe_mime_type: Option<&'a str>,
pub file_size_bytes: u64,
pub sha256_checksum: &'a str,
pub public_bucket_directory_hash: &'a str,
pub maybe_public_bucket_prefix: Option<&'a str>,
pub maybe_public_bucket_extension: Option<&'a str>,
pub is_on_prem: bool,
pub worker_hostname: &'a str,
pub worker_cluster: &'a str,
pub maybe_creator_user_token: Option<&'a UserToken>,
pub maybe_creator_anonymous_visitor_token: Option<&'a AnonymousVisitorTrackingToken>,
pub creator_ip_address: &'a str,
pub creator_set_visibility: Visibility,
pub upload_type: UploadType,
pub media_file_type: MediaFileType,
pub duration_millis: u64,
pub media_file_origin: MediaFileOriginProductCategory,
pub media_file_origin_product_category: MediaFileOriginProductCategory,
pub media_file_origin_model_type: Mediafile,
pub maybe_origin_filename: String,
pub maybe_origin_model_token:WeightsModelToken
}
pub async fn insert_media_file_generic(
args: InsertArgs<'_>
) -> AnyhowResult<(MediaFileToken, u64)>
{
let result_token = MediaFileToken::generate();
let mut maybe_creator_file_synthetic_id : Option<u64> = None;
let mut maybe_creator_category_synthetic_id : Option<u64> = None;
let mut transaction = args.pool.begin().await?;
// create a user token
if let Some(creator_user_token) = args.job.maybe_creator_user_token.as_deref() {
let user_token = UserToken::new_from_str(creator_user_token);
let next_media_file_id = transactional_increment_generic_synthetic_id(
&user_token,
IdCategory::MediaFile,
&mut transaction
).await?;
let next_lipsync_id = transactional_increment_generic_synthetic_id(
&user_token,
IdCategory::ZeroShotTtsResult,
&mut transaction
).await?;
maybe_creator_file_synthetic_id = Some(next_media_file_id);
maybe_creator_category_synthetic_id = Some(next_lipsync_id);
}
// TODO: Ask if it make sense to use ONE function to do the insert * I agree it does .... use insert media file generic and eventually remove all this.
// Since fill this out apart of the funtion this seems like the only thing to change.
const ORIGIN_CATEGORY : MediaFileOriginCategory = MediaFileOriginCategory::Inference;
const ORIGIN_PRODUCT_CATEGORY : MediaFileOriginProductCategory = MediaFileOriginProductCategory::ZeroShotVoice;
const ORIGIN_MODEL_TYPE : MediaFileOriginModelType = MediaFileOriginModelType::VallEX;
const MEDIA_TYPE : MediaFileType = MediaFileType::Audio;
let record_id = {
let query_result = sqlx::query!(
r#"
INSERT INTO media_files
SET
token = ?,
origin_category = ?,
origin_product_category = ?,
maybe_origin_model_type = ?,
media_type = ?,
maybe_mime_type = ?,
file_size_bytes = ?,
checksum_sha2 = ?,
public_bucket_directory_hash = ?,
maybe_public_bucket_prefix = ?,
maybe_public_bucket_extension = ?,
maybe_creator_user_token = ?,
maybe_creator_anonymous_visitor_token = ?,
creator_ip_address = ?,
creator_set_visibility = ?,
maybe_creator_file_synthetic_id = ?,
maybe_creator_category_synthetic_id = ?,
is_generated_on_prem = ?,
generated_by_worker = ?,
generated_by_cluster = ?
"#,
result_token.as_str(),
ORIGIN_CATEGORY.to_str(),
ORIGIN_PRODUCT_CATEGORY.to_str(),
ORIGIN_MODEL_TYPE.to_str(),
MEDIA_TYPE.to_str(),
args.maybe_mime_type,
args.file_size_bytes,
args.sha256_checksum,
args.public_bucket_directory_hash,
args.maybe_public_bucket_prefix,
args.maybe_public_bucket_extension,
args.job.maybe_creator_user_token,
args.job.maybe_creator_anonymous_visitor_token,
args.job.creator_ip_address,
args.job.creator_set_visibility.to_str(),
maybe_creator_file_synthetic_id,
maybe_creator_category_synthetic_id,
args.is_on_prem,
args.worker_hostname,
args.worker_cluster
)
.execute(&mut *transaction)
.await;
let record_id = match query_result {
Ok(res) => {
res.last_insert_id()
},
Err(err) => {
// TODO: handle better
//transaction.rollback().await?;
return Err(anyhow!("Mysql error: {:?}", err));
}
};
record_id
};
transaction.commit().await?;
Ok((result_token, record_id))
}
@@ -30,9 +30,13 @@ pub struct MediaFileListItem {
pub origin_category: MediaFileOriginCategory,
pub origin_product_category: MediaFileOriginProductCategory,
pub maybe_origin_model_type: Option<MediaFileOriginModelType>,
pub maybe_origin_model_token: Option<String>,
// NB: The title won't be populated for `tts_models` records or non-`model_weights` records.
pub maybe_origin_model_title: Option<String>,
pub media_type: MediaFileType,
pub public_bucket_directory_hash: String,
pub maybe_public_bucket_prefix: Option<String>,
@@ -98,6 +102,7 @@ pub async fn list_media_files(args: ListMediaFilesArgs<'_>) -> AnyhowResult<Medi
origin_product_category: record.origin_product_category,
maybe_origin_model_type: record.maybe_origin_model_type,
maybe_origin_model_token: record.maybe_origin_model_token,
maybe_origin_model_title: record.maybe_origin_model_title,
media_type: record.media_type,
public_bucket_directory_hash: record.public_bucket_directory_hash,
maybe_public_bucket_prefix: record.maybe_public_bucket_prefix,
@@ -143,13 +148,15 @@ SELECT
m.id,
m.token,
m.media_type,
m.origin_category,
m.origin_product_category,
m.maybe_origin_model_type,
m.maybe_origin_model_token,
m.media_type,
w.title as maybe_origin_model_title,
m.public_bucket_directory_hash,
m.maybe_public_bucket_prefix,
@@ -176,6 +183,8 @@ FROM media_files AS m
LEFT OUTER JOIN users AS u
ON m.maybe_creator_user_token = u.token
LEFT OUTER JOIN model_weights as w
ON m.maybe_origin_model_token = w.token
LEFT OUTER JOIN favorites as f
ON f.entity_type = 'media_file' AND f.entity_token = m.token
LEFT OUTER JOIN comments as c
@@ -269,6 +278,7 @@ struct MediaFileListItemInternal {
origin_product_category: MediaFileOriginProductCategory,
maybe_origin_model_type: Option<MediaFileOriginModelType>,
maybe_origin_model_token: Option<String>,
maybe_origin_model_title: Option<String>,
media_type: MediaFileType,
public_bucket_directory_hash: String,
@@ -317,6 +327,7 @@ impl FromRow<'_, MySqlRow> for MediaFileListItemInternal {
origin_product_category: MediaFileOriginProductCategory::try_from_mysql_row(row, "origin_product_category")?,
maybe_origin_model_type: MediaFileOriginModelType::try_from_mysql_row_nullable(row, "maybe_origin_model_type")?,
maybe_origin_model_token: row.try_get("maybe_origin_model_token")?,
maybe_origin_model_title: row.try_get("maybe_origin_model_title")?,
media_type: MediaFileType::try_from_mysql_row(row, "media_type")?,
public_bucket_directory_hash: row.try_get("public_bucket_directory_hash")?,
maybe_public_bucket_prefix: row.try_get("maybe_public_bucket_prefix")?,
@@ -19,9 +19,13 @@ pub struct MediaFilesByTokensRecord {
pub origin_category: MediaFileOriginCategory,
pub origin_product_category: MediaFileOriginProductCategory,
pub maybe_origin_model_type: Option<MediaFileOriginModelType>,
pub maybe_origin_model_token: Option<String>,
// NB: The title won't be populated for `tts_models` records or non-`model_weights` records.
pub maybe_origin_model_title: Option<String>,
pub public_bucket_directory_hash: String,
pub maybe_public_bucket_prefix: Option<String>,
pub maybe_public_bucket_extension: Option<String>,
@@ -68,9 +72,12 @@ async fn get_raw_media_files_by_tokens(
m.origin_category,
m.origin_product_category,
m.maybe_origin_model_type,
m.maybe_origin_model_token,
w.title as maybe_origin_model_title,
users.token as maybe_creator_user_token,
users.username as maybe_creator_username,
users.display_name as maybe_creator_display_name,
@@ -90,6 +97,8 @@ async fn get_raw_media_files_by_tokens(
FROM media_files as m
LEFT OUTER JOIN users
ON users.token = m.maybe_creator_user_token
LEFT OUTER JOIN model_weights as w
ON m.maybe_origin_model_token = w.token
LEFT OUTER JOIN entity_stats
ON entity_stats.entity_type = "media_file"
AND entity_stats.entity_token = m.token
@@ -107,9 +116,12 @@ async fn get_raw_media_files_by_tokens(
m.origin_category,
m.origin_product_category,
m.maybe_origin_model_type,
m.maybe_origin_model_token,
w.title as maybe_origin_model_title,
users.token as maybe_creator_user_token,
users.username as maybe_creator_username,
users.display_name as maybe_creator_display_name,
@@ -129,6 +141,8 @@ async fn get_raw_media_files_by_tokens(
FROM media_files as m
LEFT OUTER JOIN users
ON users.token = m.maybe_creator_user_token
LEFT OUTER JOIN model_weights as w
ON m.maybe_origin_model_token = w.token
LEFT OUTER JOIN entity_stats
ON entity_stats.entity_type = "media_file"
AND entity_stats.entity_token = m.token
@@ -173,6 +187,7 @@ fn map_to_media_files(dataset:Vec<RawMediaFileJoinUser>) -> Vec<MediaFilesByToke
origin_product_category: media_file.origin_product_category,
maybe_origin_model_type: media_file.maybe_origin_model_type,
maybe_origin_model_token: media_file.maybe_origin_model_token,
maybe_origin_model_title: media_file.maybe_origin_model_title,
maybe_creator_user_token: media_file.maybe_creator_user_token,
maybe_creator_username: media_file.maybe_creator_username,
@@ -205,9 +220,12 @@ fn map_to_media_files(dataset:Vec<RawMediaFileJoinUser>) -> Vec<MediaFilesByToke
pub origin_category: MediaFileOriginCategory,
pub origin_product_category: MediaFileOriginProductCategory,
pub maybe_origin_model_type: Option<MediaFileOriginModelType>,
pub maybe_origin_model_token: Option<String>,
pub maybe_origin_model_title: Option<String>,
pub maybe_creator_user_token: Option<UserToken>,
pub maybe_creator_username: Option<String>,
pub maybe_creator_display_name: Option<String>,
@@ -246,6 +264,7 @@ impl FromRow<'_, MySqlRow> for RawMediaFileJoinUser {
origin_product_category: MediaFileOriginProductCategory::try_from_mysql_row(row, "origin_product_category")?,
maybe_origin_model_type: MediaFileOriginModelType::try_from_mysql_row_nullable(row, "maybe_origin_model_type")?,
maybe_origin_model_token: row.try_get("maybe_origin_model_token")?,
maybe_origin_model_title: row.try_get("maybe_origin_model_title")?,
maybe_creator_user_token: row.try_get::<Option<String>, _>("maybe_creator_user_token")?
.and_then(|token| Some(UserToken::new_from_str(&token))),
maybe_creator_username: row.try_get("maybe_creator_username")?,
@@ -26,8 +26,12 @@ pub struct MediaFileListItem {
pub origin_category: MediaFileOriginCategory,
pub origin_product_category: MediaFileOriginProductCategory,
pub maybe_origin_model_type: Option<MediaFileOriginModelType>,
pub maybe_origin_model_token: Option<String>,
// NB: The title won't be populated for `tts_models` records or non-`model_weights` records.
pub maybe_origin_model_title: Option<String>,
pub media_type: MediaFileType,
pub public_bucket_directory_hash: String,
@@ -97,6 +101,7 @@ pub async fn list_media_files_for_user(args: ListMediaFileForUserArgs<'_>) -> An
origin_product_category: record.origin_product_category,
maybe_origin_model_type: record.maybe_origin_model_type,
maybe_origin_model_token: record.maybe_origin_model_token,
maybe_origin_model_title: record.maybe_origin_model_title,
media_type: record.media_type,
public_bucket_directory_hash: record.public_bucket_directory_hash,
maybe_public_bucket_prefix: record.maybe_public_bucket_prefix,
@@ -125,13 +130,15 @@ fn select_result_fields() -> String {
m.id,
m.token,
m.media_type,
m.origin_category,
m.origin_product_category,
m.maybe_origin_model_type,
m.maybe_origin_model_token,
m.media_type,
w.title as maybe_origin_model_title,
m.public_bucket_directory_hash,
m.maybe_public_bucket_prefix,
@@ -175,6 +182,8 @@ SELECT
FROM media_files AS m
LEFT OUTER JOIN users AS u
ON m.maybe_creator_user_token = u.token
LEFT OUTER JOIN model_weights as w
ON m.maybe_origin_model_token = w.token
LEFT OUTER JOIN entity_stats
ON entity_stats.entity_type = "media_file"
AND entity_stats.entity_token = m.token
@@ -227,8 +236,12 @@ struct MediaFileListItemInternal {
origin_category: MediaFileOriginCategory,
origin_product_category: MediaFileOriginProductCategory,
maybe_origin_model_type: Option<MediaFileOriginModelType>,
maybe_origin_model_token: Option<String>,
// NB: The title won't be populated for `tts_models` records or non-`model_weights` records.
maybe_origin_model_title: Option<String>,
media_type: MediaFileType,
public_bucket_directory_hash: String,
@@ -266,6 +279,7 @@ impl FromRow<'_, MySqlRow> for MediaFileListItemInternal {
origin_product_category: MediaFileOriginProductCategory::try_from_mysql_row(row, "origin_product_category")?,
maybe_origin_model_type: MediaFileOriginModelType::try_from_mysql_row_nullable(row, "maybe_origin_model_type")?,
maybe_origin_model_token: row.try_get("maybe_origin_model_token")?,
maybe_origin_model_title: row.try_get("maybe_origin_model_title")?,
media_type: MediaFileType::try_from_mysql_row(row, "media_type")?,
public_bucket_directory_hash: row.try_get("public_bucket_directory_hash")?,
maybe_public_bucket_prefix: row.try_get("maybe_public_bucket_prefix")?,
+1 -3
View File
@@ -1,5 +1,6 @@
pub mod api_tokens;
pub mod audit_logs;
pub mod batch_generations;
pub mod billing;
pub mod comments;
pub mod email_sender_jobs;
@@ -18,12 +19,9 @@ pub mod stats;
pub mod trending_model_analytics;
pub mod tts;
pub mod twitch;
pub mod user_bookmarks;
pub mod users;
pub mod vocoder;
pub mod voice_clone_requests;
pub mod voice_conversion;
pub mod voice_designer;
pub mod w2l;
@@ -0,0 +1,153 @@
use anyhow::anyhow;
use chrono::{DateTime, Utc};
use sqlx::MySql;
use sqlx::pool::PoolConnection;
use enums::by_table::model_weights::weights_types::WeightsType;
use enums::common::visibility::Visibility;
use errors::AnyhowResult;
use tokens::tokens::model_weights::ModelWeightToken;
use tokens::tokens::users::UserToken;
#[derive(Serialize, Clone)]
pub struct ModelWeightForTts {
pub token: ModelWeightToken,
pub weight_type: WeightsType,
pub title: String,
// We only supported tacotron2 in the legacy case
//pub tts_model_type: String,
pub ietf_language_tag: String,
pub ietf_primary_language_subtag: String,
pub creator_user_token: UserToken,
pub creator_username: String,
pub creator_display_name: String,
pub creator_gravatar_hash: String,
// NB: We won't port these...
//pub is_locked_from_use: bool,
//pub is_front_page_featured: bool,
//pub is_twitch_featured: bool,
//pub maybe_suggested_unique_bot_command: Option<String>,
//pub user_ratings_positive_count: u32,
//pub user_ratings_negative_count: u32,
//pub user_ratings_total_count: u32, // NB: Does not include "neutral" ratings.
pub creator_set_visibility: Visibility,
pub created_at: DateTime<Utc>,
pub updated_at: DateTime<Utc>,
}
// TODO(bt,2024-01-13): This is written to support the migration to the `model_weights`
// table from the `tts_models` table. We should write a more cross-cutting
// query to treat this not as a special cased thing. All weights should be listable.
/// This is to support the tts model list page.
/// Later this will be migrated or replaced with a more generic query.
pub async fn list_model_weights_for_text_to_speech(
mysql_connection: &mut PoolConnection<MySql>,
) -> AnyhowResult<Vec<ModelWeightForTts>> {
let models =
list_tts_models_for_all_creators(mysql_connection).await?;
Ok(models.into_iter()
.map(|model| {
ModelWeightForTts {
token: model.token,
weight_type: model.weight_type,
creator_user_token: model.creator_user_token,
creator_username: model.creator_username,
creator_display_name: model.creator_display_name,
creator_gravatar_hash: model.creator_gravatar_hash,
title: model.title,
ietf_language_tag: model.ietf_language_tag.unwrap_or("en".to_string()),
ietf_primary_language_subtag: model.ietf_primary_language_subtag.unwrap_or("en".to_string()),
creator_set_visibility: model.creator_set_visibility,
created_at: model.created_at,
updated_at: model.updated_at,
}
})
.collect::<Vec<ModelWeightForTts>>())
}
async fn list_tts_models_for_all_creators(
mysql_connection: &mut PoolConnection<MySql>,
) -> AnyhowResult<Vec<RawModelWeightForTts>> {
// NB: Scoped to only tt2 weights
let maybe_results = sqlx::query_as!(
RawModelWeightForTts,
r#"
SELECT
w.token as `token: tokens::tokens::model_weights::ModelWeightToken`,
w.weights_type as `weight_type: enums::by_table::model_weights::weights_types::WeightsType`,
w.title,
w.creator_user_token as `creator_user_token: tokens::tokens::users::UserToken`,
users.username as creator_username,
users.display_name as creator_display_name,
users.email_gravatar_hash as creator_gravatar_hash,
w_extension.ietf_language_tag,
w_extension.ietf_primary_language_subtag,
w.creator_set_visibility as `creator_set_visibility: enums::common::visibility::Visibility`,
w.created_at,
w.updated_at
FROM model_weights as w
LEFT OUTER JOIN model_weights_extension_tts_details as w_extension
ON w_extension.model_weights_token = w.token
JOIN users
ON users.token = w.creator_user_token
WHERE
w.weights_type IN ("tt2")
AND w.user_deleted_at IS NULL
AND w.mod_deleted_at IS NULL
"#
)
.fetch_all(&mut **mysql_connection)
.await;
match maybe_results {
Ok(results) => Ok(results),
Err(err) => match err {
sqlx::Error::RowNotFound => Ok(Vec::new()),
_ => {
Err(anyhow!("error querying : {:?}", err))
}
}
}
}
struct RawModelWeightForTts {
pub token: ModelWeightToken,
pub weight_type: WeightsType,
pub title: String,
// We only supported tacotron2 in the legacy case
//pub tts_model_type: String,
pub ietf_language_tag: Option<String>,
pub ietf_primary_language_subtag: Option<String>,
pub creator_user_token: UserToken,
pub creator_username: String,
pub creator_display_name: String,
pub creator_gravatar_hash: String,
// NB: We won't port these...
//pub is_locked_from_use: bool,
//pub is_front_page_featured: bool,
//pub is_twitch_featured: bool,
//pub maybe_suggested_unique_bot_command: Option<String>,
//pub user_ratings_positive_count: u32,
//pub user_ratings_negative_count: u32,
//pub user_ratings_total_count: u32, // NB: Does not include "neutral" ratings.
pub creator_set_visibility: Visibility,
pub created_at: DateTime<Utc>,
pub updated_at: DateTime<Utc>,
}
@@ -1,5 +1,6 @@
pub mod list_model_weights_for_elastic_search_backfill_using_cursor;
pub mod list_model_weights_for_text_to_speech;
pub mod list_model_weights_for_voice_conversion;
pub mod list_weights_by_tokens;
pub mod list_weights_by_user;
pub mod list_model_weights_for_elastic_search_backfill_using_cursor;
pub mod list_weights_query_builder;
@@ -1 +1,2 @@
pub mod upsert_model_weight_from_tts_model;
pub mod upsert_model_weight_from_voice_conversion_model;
@@ -0,0 +1,249 @@
use sqlx::{MySql, MySqlPool, Transaction};
use buckets::public::weight_files::bucket_file_path::WeightFileBucketPath;
use enums::by_table::model_weights::weights_category::WeightsCategory;
use enums::by_table::model_weights::weights_types::WeightsType;
use errors::AnyhowResult;
use tokens::tokens::model_weights::ModelWeightToken;
use crate::queries::tts::tts_models::migration::list_whole_tts_models_using_cursor::WholeTtsModelRecord;
pub struct CopiedTtsFileData {
pub bucket_path: WeightFileBucketPath,
pub file_sha_hash: String,
}
/// Migrate `tts_models` records to `model_weights` + `model_weights_extension_tts_details` records.
/// This is designed to be idempotent and re-runnable. Any time we re-run the query, we should get the same result.
/// This will enable us to perfect the query and get the write flows online and switched over.
///
pub async fn upsert_model_weight_from_tts_model(
record: &WholeTtsModelRecord,
mysql_pool: &MySqlPool,
copied_data: &CopiedTtsFileData,
) -> AnyhowResult<()> {
let mut transaction = mysql_pool.begin().await?;
let model_weight_token = create_or_generate_token(record);
upsert_model_weights_record(record, &model_weight_token, copied_data, &mut transaction).await?;
upsert_model_weights_extension_record(record, &model_weight_token, &mut transaction).await?;
update_original_record(record, &model_weight_token, &mut transaction).await?;
transaction.commit().await?;
Ok(())
}
pub fn create_or_generate_token(record: &WholeTtsModelRecord) -> ModelWeightToken {
match record.maybe_migration_new_model_weights_token {
Some(ref token) => token.clone(),
None => ModelWeightToken::generate(),
}
}
pub async fn upsert_model_weights_record(
record: &WholeTtsModelRecord,
model_weight_token: &ModelWeightToken,
copied_data: &CopiedTtsFileData,
mut transaction: &mut Transaction<'_, MySql>,
) -> AnyhowResult<()> {
// NB: We never supported other TTS models in the tts_models table.
const WEIGHTS_TYPE : WeightsType = WeightsType::Tacotron2;
const WEIGHTS_CATEGORY : WeightsCategory = WeightsCategory::TextToSpeech;
// NB: Not setting a few fields (for now)
// maybe_last_update_user_token - seems like bad design
// TODO(bt): file checksum
// TODO(bt): rename maybe_public_bucket_extension to maybe_public_bucket_suffix (!!!)
// TODO(bt): do we need model_weights.ip_address_last_update without audit logs?
// TODO(bt): rename creator_ip_address to ip_address_creation (and add ip_address_last_update)
// TODO(bt): Check model_weights column integer types - signed vs unsigned
let query = sqlx::query!(
r#"
INSERT INTO model_weights
SET
token = ?,
weights_type = ?,
weights_category = ?,
title = ?,
maybe_cover_image_media_file_token = NULL,
maybe_description_markdown = ?,
maybe_description_rendered_html = ?,
creator_user_token = ?,
creator_ip_address = ?,
creator_set_visibility = ?,
maybe_last_update_user_token = NULL,
original_download_url = ?,
original_filename = ?,
file_size_bytes = ?,
file_checksum_sha2 = ?,
public_bucket_hash = ?,
maybe_public_bucket_prefix = ?,
maybe_public_bucket_extension = ?,
maybe_migration_old_model_token = ?,
version = ?,
created_at = ?,
updated_at = ?,
user_deleted_at = ?,
mod_deleted_at = ?
ON DUPLICATE KEY UPDATE
weights_type = ?,
weights_category = ?,
title = ?,
maybe_cover_image_media_file_token = NULL,
maybe_description_markdown = ?,
maybe_description_rendered_html = ?,
creator_user_token = ?,
creator_ip_address = ?,
creator_set_visibility = ?,
maybe_last_update_user_token = NULL,
original_download_url = ?,
original_filename = ?,
file_size_bytes = ?,
file_checksum_sha2 = ?,
public_bucket_hash = ?,
maybe_public_bucket_prefix = ?,
maybe_public_bucket_extension = ?,
maybe_migration_old_model_token = ?,
version = ?,
created_at = ?,
updated_at = ?,
user_deleted_at = ?,
mod_deleted_at = ?
"#,
// Insert
model_weight_token,
WEIGHTS_TYPE,
WEIGHTS_CATEGORY,
record.title,
record.description_markdown,
record.description_rendered_html,
record.creator_user_token,
record.creator_ip_address_creation,
record.creator_set_visibility.to_str(),
record.original_download_url,
record.original_filename,
record.file_size_bytes,
copied_data.file_sha_hash,
copied_data.bucket_path.get_object_hash(),
copied_data.bucket_path.get_optional_prefix(),
copied_data.bucket_path.get_optional_extension(),
record.token.as_str(),
record.version,
record.created_at,
record.updated_at,
record.user_deleted_at,
record.mod_deleted_at,
// Update
WEIGHTS_TYPE,
WEIGHTS_CATEGORY,
record.title,
record.description_markdown,
record.description_rendered_html,
record.creator_user_token,
record.creator_ip_address_creation,
record.creator_set_visibility.to_str(),
record.original_download_url,
record.original_filename,
record.file_size_bytes,
copied_data.file_sha_hash,
copied_data.bucket_path.get_object_hash(),
copied_data.bucket_path.get_optional_prefix(),
copied_data.bucket_path.get_optional_extension(),
record.token.as_str(),
record.version,
record.created_at,
record.updated_at,
record.user_deleted_at,
record.mod_deleted_at,
);
let _r = query.execute(&mut **transaction).await?;
Ok(())
}
pub async fn upsert_model_weights_extension_record(
record: &WholeTtsModelRecord,
model_weight_token: &ModelWeightToken,
transaction: &mut Transaction<'_, MySql>
) -> AnyhowResult<()> {
let query = sqlx::query!(
r#"
INSERT INTO model_weights_extension_tts_details
SET
model_weights_token = ?,
ietf_language_tag = ?,
ietf_primary_language_subtag = ?,
text_pipeline_type = ?,
use_default_mel_multiply_factor = ?,
maybe_custom_mel_multiply_factor = ?,
maybe_default_pretrained_vocoder = ?,
maybe_custom_vocoder_token = ?
ON DUPLICATE KEY UPDATE
ietf_language_tag = ?,
ietf_primary_language_subtag = ?,
text_pipeline_type = ?,
use_default_mel_multiply_factor = ?,
maybe_custom_mel_multiply_factor = ?,
maybe_default_pretrained_vocoder = ?,
maybe_custom_vocoder_token = ?
"#,
// Insert
&model_weight_token,
record.ietf_language_tag,
record.ietf_primary_language_subtag,
record.text_pipeline_type,
record.use_default_mel_multiply_factor,
record.maybe_custom_mel_multiply_factor,
record.maybe_default_pretrained_vocoder,
record.maybe_custom_vocoder_token,
// Update
record.ietf_language_tag,
record.ietf_primary_language_subtag,
record.text_pipeline_type,
record.use_default_mel_multiply_factor,
record.maybe_custom_mel_multiply_factor,
record.maybe_default_pretrained_vocoder,
record.maybe_custom_vocoder_token
);
let _r = query.execute(&mut **transaction).await?;
Ok(())
}
pub async fn update_original_record(
record: &WholeTtsModelRecord,
model_weight_token: &ModelWeightToken,
transaction: &mut Transaction<'_, MySql>
) -> AnyhowResult<()> {
let query = sqlx::query!(
r#"
UPDATE tts_models
SET
maybe_migration_new_model_weights_token = ?
WHERE token = ?
"#,
model_weight_token,
record.token,
);
let _r = query.execute(&mut **transaction).await?;
Ok(())
}
@@ -293,6 +293,8 @@ mod tests {
maybe_scoped_weight_type: None,
maybe_scoped_weight_category: None,
mysql_pool: &pool,
maybe_scoped_weight_type: None,
maybe_scoped_weight_category: None,
}).await?;
for weight in weights_by_username.records.iter() {
// print weight
@@ -12,7 +12,7 @@ use crate::helpers::boolean_converters::i8_to_bool;
// FIXME: This is the old style of query scoping and shouldn't be copied.
// TODO/FIXME : This struct is returned publicly in some endpoints!
#[derive(Serialize)]
#[derive(Serialize, Clone)]
pub struct TtsModelRecordForList {
pub model_token: String,
pub tts_model_type: String,
@@ -1,5 +1,6 @@
pub mod user;
pub mod user_badges;
pub mod user_bookmarks;
pub mod user_password_resets;
pub mod user_profiles;
pub mod user_ratings;
@@ -1,11 +1,11 @@
use anyhow::anyhow;
use log::warn;
use sqlx::{MySql};
use sqlx::MySql;
use sqlx::pool::PoolConnection;
use errors::AnyhowResult;
use crate::queries::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
use crate::queries::users::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
pub struct BookmarkCount {
pub total_count: usize,
@@ -7,7 +7,7 @@ use errors::AnyhowResult;
use tokens::tokens::user_bookmarks::UserBookmarkToken;
use tokens::tokens::users::UserToken;
use crate::queries::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
use crate::queries::users::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
pub struct UserBookmark {
pub token: UserBookmarkToken,
@@ -6,8 +6,8 @@ use enums::by_table::model_weights::weights_types::WeightsType;
use enums::by_table::user_bookmarks::user_bookmark_entity_type::UserBookmarkEntityType;
use errors::AnyhowResult;
use crate::queries::user_bookmarks::list_user_bookmarks_result::RawUserBookmarkRecord;
use crate::queries::user_bookmarks::list_user_bookmarks_result::UserBookmark;
use crate::queries::users::user_bookmarks::list_user_bookmarks_result::RawUserBookmarkRecord;
use crate::queries::users::user_bookmarks::list_user_bookmarks_result::UserBookmark;
pub struct UserBookmarkListPage {
pub results: Vec<UserBookmark>,
@@ -7,7 +7,7 @@ use errors::AnyhowResult;
use tokens::tokens::user_bookmarks::UserBookmarkToken;
use tokens::tokens::users::UserToken;
use crate::queries::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
use crate::queries::users::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
pub struct UserBookmark {
pub token: UserBookmarkToken,
@@ -70,56 +70,56 @@ pub struct UserBookmark {
}
pub struct RawUserBookmarkRecord {
pub (crate) token: UserBookmarkToken,
pub(crate) token: UserBookmarkToken,
pub (crate) entity_type: UserBookmarkEntityType,
pub (crate) entity_token: String,
pub(crate) entity_type: UserBookmarkEntityType,
pub(crate) entity_token: String,
// TODO(bt,2023-12-30): I don't think these user fields are necessary.
// We already know the user we're querying on behalf of, so presumably we
// already have their info (ie. profile page use).
pub (crate) user_token: UserToken,
pub (crate) username: String,
pub (crate) user_display_name: String,
pub (crate) user_gravatar_hash: String,
pub(crate) user_token: UserToken,
pub(crate) username: String,
pub(crate) user_display_name: String,
pub(crate) user_gravatar_hash: String,
pub (crate) created_at: DateTime<Utc>,
pub (crate) updated_at: DateTime<Utc>,
pub (crate) deleted_at: Option<DateTime<Utc>>,
pub(crate) created_at: DateTime<Utc>,
pub(crate) updated_at: DateTime<Utc>,
pub(crate) deleted_at: Option<DateTime<Utc>>,
pub (crate) maybe_ratings_positive_count: Option<u32>,
pub (crate) maybe_ratings_negative_count: Option<u32>,
pub (crate) maybe_bookmark_count: Option<u32>,
pub(crate) maybe_ratings_positive_count: Option<u32>,
pub(crate) maybe_ratings_negative_count: Option<u32>,
pub(crate) maybe_bookmark_count: Option<u32>,
pub (crate) maybe_media_file_type: Option<MediaFileType>,
pub (crate) maybe_media_file_origin_category: Option<MediaFileOriginCategory>,
pub (crate) maybe_media_file_public_bucket_hash: Option<String>,
pub (crate) maybe_media_file_public_bucket_prefix: Option<String>,
pub (crate) maybe_media_file_public_bucket_extension: Option<String>,
pub(crate) maybe_media_file_type: Option<MediaFileType>,
pub(crate) maybe_media_file_origin_category: Option<MediaFileOriginCategory>,
pub(crate) maybe_media_file_public_bucket_hash: Option<String>,
pub(crate) maybe_media_file_public_bucket_prefix: Option<String>,
pub(crate) maybe_media_file_public_bucket_extension: Option<String>,
pub (crate) maybe_media_file_creator_user_token: Option<UserToken>,
pub (crate) maybe_media_file_creator_username: Option<String>,
pub (crate) maybe_media_file_creator_display_name: Option<String>,
pub (crate) maybe_media_file_creator_gravatar_hash: Option<String>,
pub(crate) maybe_media_file_creator_user_token: Option<UserToken>,
pub(crate) maybe_media_file_creator_username: Option<String>,
pub(crate) maybe_media_file_creator_display_name: Option<String>,
pub(crate) maybe_media_file_creator_gravatar_hash: Option<String>,
pub (crate) maybe_model_weight_type: Option<WeightsType>,
pub (crate) maybe_model_weight_category: Option<WeightsCategory>,
pub(crate) maybe_model_weight_type: Option<WeightsType>,
pub(crate) maybe_model_weight_category: Option<WeightsCategory>,
pub (crate) maybe_model_weight_cover_image_public_bucket_hash: Option<String>,
pub (crate) maybe_model_weight_cover_image_public_bucket_prefix: Option<String>,
pub (crate) maybe_model_weight_cover_image_public_bucket_extension: Option<String>,
pub(crate) maybe_model_weight_cover_image_public_bucket_hash: Option<String>,
pub(crate) maybe_model_weight_cover_image_public_bucket_prefix: Option<String>,
pub(crate) maybe_model_weight_cover_image_public_bucket_extension: Option<String>,
pub (crate) maybe_model_weight_creator_user_token: Option<UserToken>,
pub (crate) maybe_model_weight_creator_username: Option<String>,
pub (crate) maybe_model_weight_creator_display_name: Option<String>,
pub (crate) maybe_model_weight_creator_gravatar_hash: Option<String>,
pub(crate) maybe_model_weight_creator_user_token: Option<UserToken>,
pub(crate) maybe_model_weight_creator_username: Option<String>,
pub(crate) maybe_model_weight_creator_display_name: Option<String>,
pub(crate) maybe_model_weight_creator_gravatar_hash: Option<String>,
pub (crate) maybe_descriptive_text_model_weight_title: Option<String>,
pub (crate) maybe_descriptive_text_tts_model_title: Option<String>,
pub (crate) maybe_descriptive_text_tts_result_inference_text: Option<String>,
pub (crate) maybe_descriptive_text_user_display_name: Option<String>,
pub (crate) maybe_descriptive_text_voice_conversion_model_title: Option<String>,
pub (crate) maybe_descriptive_text_zs_voice_title: Option<String>,
pub(crate) maybe_descriptive_text_model_weight_title: Option<String>,
pub(crate) maybe_descriptive_text_tts_model_title: Option<String>,
pub(crate) maybe_descriptive_text_tts_result_inference_text: Option<String>,
pub(crate) maybe_descriptive_text_user_display_name: Option<String>,
pub(crate) maybe_descriptive_text_voice_conversion_model_title: Option<String>,
pub(crate) maybe_descriptive_text_zs_voice_title: Option<String>,
}
impl RawUserBookmarkRecord {
@@ -7,7 +7,7 @@ use errors::AnyhowResult;
use tokens::tokens::user_bookmarks::UserBookmarkToken;
use tokens::tokens::users::UserToken;
use crate::queries::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
use crate::queries::users::user_bookmarks::user_bookmark_entity_token::UserBookmarkEntityToken;
pub struct CreateUserBookmarkArgs<'e, 'c, E>
where E: 'e + Executor<'c, Database = MySql>
@@ -76,6 +76,8 @@ pub async fn do_process_single_job(job_state: &JobState, job: &AvailableDownload
return Err(anyhow!("Bad download URL: `{}`", &job.download_url));
}
// TODO USE THIS DOWNLOADER
let download_filename = match job_state.sidecar_configs.google_drive_downloader.download_file(&job.download_url, &temp_dir).await {
Ok(filename) => filename,
Err(e) => {
@@ -70,7 +70,7 @@ pub struct PretrainedModels {
/// Configurations and interfaces to code deployed as sidecars or container mounts.
pub struct SidecarConfigs {
pub google_drive_downloader: GoogleDriveDownloadCommand,
pub(crate) google_drive_downloader: GoogleDriveDownloadCommand,
pub rvc_v2_model_check_command: RvcV2ModelCheckCommand,
pub softvc_model_check_command: SoftVcModelCheckCommand,
pub so_vits_svc_model_check_command: SoVitsSvcModelCheckCommand,
@@ -19,7 +19,9 @@ actix_helpers = { path = "../../../lib/actix_helpers" }
bootstrap = { path = "../../../lib/bootstrap" }
buckets = { path = "../../../_types/buckets" }
cloud_storage = { path = "../../../lib/api_clients/cloud_storage" }
google_drive_common = { path = "../../../lib/api_clients/google_drive_common" }
collections = { path = "../../../lib/collections" }
composite_identifiers = { path = "../../../_types/composite_identifiers" }
concurrency = { path = "../../../lib/concurrency" }
config = { path = "../../../lib/deprecated/config" }
easyenv = { path = "../../../lib/easyenv" }
@@ -103,6 +103,14 @@ VITS_INFERENCE_MAYBE_DOCKER_IMAGE_SHA="03017896367b"
RERENDER_INFERENCE_ROOT_DIRECTORY="/home/salt/clone/storyteller-ml/animation/rerender-lora/"
RERENDER_INFERENCE_EXECUTABLE_OR_COMMAND="venv/bin/python rerender.py"
# ================================= #
# #
# STABLE DIFFUSION #
# #
# ================================= #
STABLE_DIFFUSION_INFERENCE_ROOT_DIRECTORY="/home/tensor/code/storyteller/storyteller-ml/image_generation/Storyteller-Studio-Filter/"
STABLE_DIFFUSION_INFERENCE_COMMAND=".venv/bin/python main.py"
# ================================= #
# #
# MocapNET #
@@ -188,7 +188,7 @@ async fn get_model_record_from_cacheable_query(job_dependencies: &JobDependencie
}
}
_ => {
warn!("Job does not have a category or a model token: {:?} - category: {:?}, token: {:?}",
warn!("Only applies to older job workflows. Job does not have a category or a model token: {:?} - category: {:?}, token: {:?}",
job.id, job.inference_category, job.maybe_model_token);
MaybeInferenceModel::None
@@ -17,6 +17,7 @@ use crate::job::job_types::lipsync::process_single_lipsync_job::process_single_l
use crate::job::job_types::tts::process_single_tts_job::process_single_tts_job;
use crate::job::job_types::vc::process_single_vc_job::process_single_vc_job;
use crate::job::job_types::videofilter::process_single_vf_job::process_single_vf_job;
use crate::job::job_types::image_generation::process_single_ig_job::process_single_ig_job;
use crate::job::job_types::mocap::process_single_mc_job::process_single_mc_job;
use crate::job::job_types::workflow::process_single_wf_job::process_single_wf_job;
use crate::job_dependencies::JobDependencies;
@@ -188,6 +189,9 @@ async fn do_process_single_job(
InferenceCategory::VideoFilter => {
process_single_vf_job(job_dependencies, job).await?
}
InferenceCategory::ImageGeneration => {
process_single_ig_job(job_dependencies, job).await?
}
InferenceCategory::Mocap => {
process_single_mc_job(job_dependencies, job).await?
}
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