WIP generic-download-job

This commit is contained in:
Brandon Thomas committed 2022-08-09 22:06:36 -04:00
1 parent 740ba1b2e4
commit dbd7e949b7
14 files changed
+674 -253

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@@ -12,7 +12,7 @@ pub enum UserBadge {
// Granted for early vocodes users.
EarlyUser,
// Granted for uploading models
// Granted for uploading tts models
TtsModelUploader1,
TtsModelUploader5,
TtsModelUploader10,
@@ -23,6 +23,17 @@ pub enum UserBadge {
TtsModelUploader200,
TtsModelUploader250,
// Granted for vocoder models
VocoderModelUploader1,
VocoderModelUploader5,
VocoderModelUploader10,
VocoderModelUploader20,
VocoderModelUploader50,
VocoderModelUploader100,
VocoderModelUploader150,
VocoderModelUploader200,
VocoderModelUploader250,
// Granted for uploading templates
W2lTemplateUploader1,
W2lTemplateUploader10,
@@ -63,6 +74,15 @@ impl UserBadge {
UserBadge::TtsModelUploader150 => "tts_model_uploader_150",
UserBadge::TtsModelUploader200 => "tts_model_uploader_200",
UserBadge::TtsModelUploader250 => "tts_model_uploader_250",
UserBadge::VocoderModelUploader1 => "vocoder_model_uploader_1",
UserBadge::VocoderModelUploader5 => "vocoder_model_uploader_5",
UserBadge::VocoderModelUploader10 => "vocoder_model_uploader_10",
UserBadge::VocoderModelUploader20 => "vocoder_model_uploader_20",
UserBadge::VocoderModelUploader50 => "vocoder_model_uploader_50",
UserBadge::VocoderModelUploader100 => "vocoder_model_uploader_100",
UserBadge::VocoderModelUploader150 => "vocoder_model_uploader_150",
UserBadge::VocoderModelUploader200 => "vocoder_model_uploader_200",
UserBadge::VocoderModelUploader250 => "vocoder_model_uploader_250",
UserBadge::W2lTemplateUploader1 => "w2l_template_uploader_1",
UserBadge::W2lTemplateUploader10 => "w2l_template_uploader_10",
UserBadge::W2lTemplateUploader50 => "w2l_template_uploader_50",
@@ -206,6 +226,51 @@ impl BadgeGranter {
Ok(())
}
/// This needs to be called *after* successful upload.
pub async fn maybe_grant_vocoder_model_uploads_badge(&self, user_token: &str) -> AnyhowResult<()> {
let count = self.count_vocoder_models_uploaded(user_token).await?;
let mut maybe_badge = None;
if count >= 250 {
maybe_badge = Some(UserBadge::VocoderModelUploader250);
} else if count >= 200 {
maybe_badge = Some(UserBadge::VocoderModelUploader200);
} else if count >= 150 {
maybe_badge = Some(UserBadge::VocoderModelUploader150);
} else if count >= 100 {
maybe_badge = Some(UserBadge::VocoderModelUploader100);
} else if count >= 50 {
maybe_badge = Some(UserBadge::VocoderModelUploader50);
} else if count >= 20 {
maybe_badge = Some(UserBadge::VocoderModelUploader20);
} else if count >= 10 {
maybe_badge = Some(UserBadge::VocoderModelUploader10);
} else if count >= 5 {
maybe_badge = Some(UserBadge::VocoderModelUploader5);
} else if count >= 1 {
maybe_badge = Some(UserBadge::VocoderModelUploader1);
}
let badge = match maybe_badge {
Some(badge) => badge,
None => return Ok(()),
};
if self.has_badge(user_token, badge).await? {
return Ok(())
}
let _record_id = self.insert(
badge,
user_token,
).await?;
self.firehose_publisher.publish_user_badge_granted(user_token, badge.to_db_value())
.await?;
Ok(())
}
// =======================================================================
@@ -267,6 +332,28 @@ LIMIT 1
self.handle_count_query(maybe_result)
}
async fn count_vocoder_models_uploaded(
&self,
user_token: &str,
) -> AnyhowResult<u64> {
// NB: This could get expensive!
let maybe_result = sqlx::query_as!(
CountRecord,
r#"
SELECT count(*) as count
FROM vocoder_models
WHERE
creator_user_token = ?
LIMIT 1
"#,
user_token
)
.fetch_one(&self.mysql_pool)
.await;
self.handle_count_query(maybe_result)
}
async fn count_w2l_templates_uploaded(
&self,
user_token: &str,
@@ -0,0 +1,5 @@
//! Primary and foreign keys
/// Since jobs are internal, we'll use IDs as primary keys.
#[derive(Clone, Copy, PartialOrd, PartialEq, Eq, Ord, Debug)]
pub struct GenericDownloadJobId(pub i64);
@@ -0,0 +1,123 @@
use anyhow::anyhow;
use chrono::Utc;
use container_common::anyhow_result::AnyhowResult;
use crate::column_types::job_status::JobStatus;
use crate::queries::generic_download::job::_keys::GenericDownloadJobId;
use crate::tokens::Tokens;
use reusable_types::entity_visibility::EntityVisibility;
use reusable_types::generic_download_type::GenericDownloadType;
use sqlx::MySqlPool;
use std::path::Path;
/// table: generic_download_jobs
#[derive(Debug)]
pub struct AvailableDownloadJob {
pub id: GenericDownloadJobId,
pub download_job_token: String,
pub creator_user_token: String,
pub creator_ip_address: String,
pub creator_set_visibility: EntityVisibility,
pub download_type: GenericDownloadType,
pub download_url: Option<String>,
pub title: String,
pub status: JobStatus,
pub attempt_count: i32,
pub failure_reason: Option<String>,
pub created_at: chrono::DateTime<Utc>,
pub updated_at: chrono::DateTime<Utc>,
pub retry_at: Option<chrono::DateTime<Utc>>,
}
pub async fn list_available_generic_download_jobs(pool: &MySqlPool, num_records: u32)
-> AnyhowResult<Vec<AvailableDownloadJob>>
{
let job_records = sqlx::query_as!(
AvailableDownloadJobRawInternal,
r#"
SELECT
id,
token AS download_job_token,
creator_user_token,
creator_ip_address,
creator_set_visibility as `creator_set_visibility: reusable_types::entity_visibility::EntityVisibility`,
download_type as `download_type: reusable_types::generic_download_type::GenericDownloadType`,
download_url,
title,
status as `status: crate::column_types::job_status::JobStatus`,
attempt_count,
failure_reason,
created_at,
updated_at,
retry_at
FROM generic_download_jobs
WHERE
(
status IN ("pending", "attempt_failed")
)
AND
(
retry_at IS NULL
OR
retry_at < CURRENT_TIMESTAMP
)
ORDER BY id ASC
LIMIT ?
"#,
num_records,
)
.fetch_all(pool)
.await?;
let job_records = job_records.into_iter()
.map(|record : AvailableDownloadJobRawInternal| {
AvailableDownloadJob {
id: GenericDownloadJobId(record.id),
download_job_token: record.download_job_token,
creator_ip_address: record.creator_ip_address,
creator_user_token: record.creator_user_token,
creator_set_visibility: record.creator_set_visibility,
download_type: record.download_type,
download_url: record.download_url,
title: record.title,
status: record.status,
attempt_count: record.attempt_count,
failure_reason: record.failure_reason,
created_at: record.created_at,
updated_at: record.updated_at,
retry_at: record.retry_at,
}
})
.collect::<Vec<AvailableDownloadJob>>();
Ok(job_records)
}
#[derive(Debug)]
struct AvailableDownloadJobRawInternal {
pub id: i64,
pub download_job_token: String,
pub creator_user_token: String,
pub creator_ip_address: String,
pub creator_set_visibility: EntityVisibility,
pub download_type: GenericDownloadType,
pub download_url: Option<String>,
pub title: String,
pub status: JobStatus,
pub attempt_count: i32,
pub failure_reason: Option<String>,
pub created_at: chrono::DateTime<Utc>,
pub updated_at: chrono::DateTime<Utc>,
pub retry_at: Option<chrono::DateTime<Utc>>,
}
@@ -0,0 +1,39 @@
use anyhow::anyhow;
use container_common::anyhow_result::AnyhowResult;
use crate::queries::generic_download::job::list_available_generic_download_jobs::AvailableDownloadJob;
use sqlx::MySqlPool;
pub async fn mark_generic_download_job_done(
pool: &MySqlPool,
job: &AvailableDownloadJob,
success: bool,
maybe_entity_token: Option<&str>,
maybe_entity_type: Option<&str>,
) -> AnyhowResult<()>
{
let status = if success { "complete_success" } else { "complete_failure" };
let query_result = sqlx::query!(
r#"
UPDATE generic_download_jobs
SET
status = ?,
on_success_downloaded_entity_token = ?,
on_success_downloaded_entity_type = ?,
failure_reason = NULL,
retry_at = NULL
WHERE id = ?
"#,
status,
maybe_entity_token,
maybe_entity_type,
job.id.0,
)
.execute(pool)
.await;
match query_result {
Err(err) => Err(anyhow!("error with query: {:?}", err)),
Ok(_r) => Ok(()),
}
}
@@ -0,0 +1,45 @@
use anyhow::anyhow;
use container_common::anyhow_result::AnyhowResult;
use crate::queries::generic_download::job::list_available_generic_download_jobs::AvailableDownloadJob;
use sqlx::MySqlPool;
use sqlx;
/// Mark a single download job failure. The job may be re-run.
pub async fn mark_generic_download_job_failure(
pool: &MySqlPool,
job: &AvailableDownloadJob,
failure_reason: &str,
max_attempts: i32
) -> AnyhowResult<()> {
// statuses: "attempt_failed", "complete_failure", "dead"
let mut next_status = "attempt_failed";
if job.attempt_count >= max_attempts {
// NB: Job attempt count is incremented at start
next_status = "dead";
}
let query_result = sqlx::query!(
r#"
UPDATE generic_download_jobs
SET
status = ?,
failure_reason = ?,
retry_at = NOW() + interval 2 minute
WHERE id = ?
"#,
next_status,
failure_reason.to_string(),
job.id.0,
)
.execute(pool)
.await;
match query_result {
Err(err) => {
Err(anyhow!("error with query: {:?}", err))
},
Ok(_r) => Ok(()),
}
}
@@ -0,0 +1,84 @@
use anyhow::anyhow;
use container_common::anyhow_result::AnyhowResult;
use sqlx::MySqlPool;
use sqlx;
use crate::queries::generic_download::job::_keys::GenericDownloadJobId;
// TODO(2022-02-09): It's unclear how stuck "pending" jobs don't become perma-dead
// I think this logic is flawed and the job system needs to pick up stuck "pending" jobs.
pub struct GenericDownloadJobLockRecord {
id: i64,
status: String,
}
pub async fn mark_generic_download_job_pending_and_grab_lock(
pool: &MySqlPool,
job_id: GenericDownloadJobId
) -> AnyhowResult<bool> {
// NB: We use transactions and "SELECT ... FOR UPDATE" to simulate mutexes.
let mut transaction = pool.begin().await?;
let maybe_record = sqlx::query_as!(
TtsInferenceLockRecord,
r#"
SELECT
id,
status
FROM generic_download_jobs
WHERE id = ?
FOR UPDATE
"#,
job_id.0,
)
.fetch_one(&mut transaction)
.await;
let record : GenericDownloadJobLockRecord = match maybe_record {
Ok(record) => record,
Err(err) => {
match err {
sqlx::Error::RowNotFound => {
return Err(anyhow!("could not job"));
},
_ => {
return Err(anyhow!("query error"));
}
}
}
};
let can_transact = match record.status.as_ref() {
"pending" => true, // It's okay for us to take the lock.
"attempt_failed" => true, // We can retry.
"started" => false, // Job in progress (another job beat us, and we can't take the lock)
"complete_success" => false, // Job already complete
"complete_failure" => false, // Job already complete (permanently dead; no need to retry)
"dead" => false, // Job already complete (permanently dead; retries exhausted)
_ => false, // Future-proof
};
if !can_transact {
transaction.rollback().await?;
return Ok(false);
}
let _acquire_lock = sqlx::query!(
r#"
UPDATE generic_download_jobs
SET
status = 'started',
attempt_count = attempt_count + 1,
retry_at = NOW() + interval 2 minute
WHERE id = ?
"#,
job_id.0,
)
.execute(&mut transaction)
.await?;
transaction.commit().await?;
Ok(true)
}
@@ -0,0 +1,5 @@
pub mod _keys;
pub mod list_available_generic_download_jobs;
pub mod mark_generic_download_job_done;
pub mod mark_generic_download_job_failure;
pub mod mark_generic_download_job_pending_and_grab_lock;
@@ -1,2 +1,3 @@
pub mod get_generic_download_job_status;
pub mod insert_generic_download_job;
pub mod job;
@@ -1,7 +1,3 @@
//! NB: This seems required for sqlx to generate the cached queries.
//! Sqlx's prepare needs a *single* binary to work against, so we need to
//! include these in the main binary to generate all the queries.
use anyhow::anyhow;
use chrono::Utc;
use container_common::anyhow_result::AnyhowResult;
@@ -0,0 +1,41 @@
use crate::HifiGanModelCheckCommand;
use database_queries::mediators::badge_granter::BadgeGranter;
use database_queries::mediators::firehose_publisher::FirehosePublisher;
use google_drive_common::google_drive_download_command::GoogleDriveDownloadCommand;
use r2d2_redis::RedisConnectionManager;
use r2d2_redis::r2d2;
use sqlx::MySqlPool;
use std::path::PathBuf;
use storage_buckets_common::bucket_client::BucketClient;
use storage_buckets_common::bucket_path_unifier::BucketPathUnifier;
pub struct JobState {
pub download_temp_directory: PathBuf,
pub mysql_pool: MySqlPool,
pub redis_pool: r2d2::Pool<RedisConnectionManager>,
pub bucket_client: BucketClient,
pub firehose_publisher: FirehosePublisher,
pub badge_granter: BadgeGranter,
pub google_drive_downloader: GoogleDriveDownloadCommand,
pub bucket_path_unifier: BucketPathUnifier,
pub hifigan_model_check_command: HifiGanModelCheckCommand,
// Command to run
pub download_script: String,
// Root to store TTS results
pub bucket_root_tts_model_uploads: String,
// Sleep between batches
pub job_batch_wait_millis: u64,
// How long to wait between log lines
pub no_op_logger_millis: u64,
// Max job attempts before failure.
// NB: This is an i32 so we don't need to convert to db column type.
pub job_max_attempts: i32,
}
@@ -0,0 +1,2 @@
pub mod process_single_job;
pub mod process_hifigan_vocoder;
@@ -0,0 +1,118 @@
use std::path::PathBuf;
use log::info;
use tempdir::TempDir;
use container_common::anyhow_result::AnyhowResult;
use database_queries::queries::generic_download::job::list_available_generic_download_jobs::AvailableDownloadJob;
use crate::JobState;
pub async fn process_hifigan_vocoder(
job_state: &JobState,
job: &AvailableDownloadJob,
temp_dir: &TempDir
) -> AnyhowResult<()> {
// ==================== RUN MODEL CHECK ==================== //
info!("Checking that model is valid...");
redis_logger.log_status("checking model")?;
let file_path = PathBuf::from(download_filename.clone());
let output_metadata_fs_path = temp_dir.path().join("metadata.json");
match model_type {
TtsModelType::Tacotron2 => {
let result = job_state.tacotron_tts_check.execute(
&file_path,
&output_metadata_fs_path,
false,
);
if let Err(e) = result {
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
}
},
TtsModelType::Talknet => {
let result = job_state.talknet_tts_check.execute(
&file_path,
&output_metadata_fs_path,
false,
);
if let Err(e) = result {
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
}
},
}
// ==================== CHECK ALL FILES EXIST AND GET METADATA ==================== //
info!("Checking that metadata output file exists...");
check_file_exists(&output_metadata_fs_path)?;
let file_metadata = match read_metadata_file(&output_metadata_fs_path) {
Ok(metadata) => metadata,
Err(e) => {
safe_delete_temp_file(&file_path);
safe_delete_temp_file(&output_metadata_fs_path);
safe_delete_temp_directory(&temp_dir);
return Err(e);
}
};
// ==================== UPLOAD MODEL FILE ==================== //
info!("Uploading model to GCS...");
let private_bucket_hash = hash_file_sha2(&download_filename)?;
info!("File hash: {}", private_bucket_hash);
let synthesizer_model_bucket_path = match model_type {
TtsModelType::Tacotron2 => job_state.bucket_path_unifier.tts_synthesizer_path(&private_bucket_hash),
TtsModelType::Talknet => job_state.bucket_path_unifier.tts_zipped_synthesizer_path(&private_bucket_hash),
};
info!("Destination bucket path: {:?}", &synthesizer_model_bucket_path);
redis_logger.log_status("uploading model")?;
if let Err(e) = job_state.bucket_client.upload_filename(&synthesizer_model_bucket_path, &file_path).await {
safe_delete_temp_file(&output_metadata_fs_path);
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
return Err(e);
}
// ==================== DELETE DOWNLOADED FILE ==================== //
// NB: We should be using a tempdir, but to make absolutely certain we don't overflow the disk...
safe_delete_temp_file(&output_metadata_fs_path);
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
// ==================== SAVE RECORDS ==================== //
info!("Saving model record...");
let (id, model_token) = insert_tts_model(
&job_state.mysql_pool,
job,
&private_bucket_hash,
synthesizer_model_bucket_path,
file_metadata.file_size_bytes)
.await?;
job_state.badge_granter.maybe_grant_tts_model_uploads_badge(&job.creator_user_token)
.await
.map_err(|e| {
warn!("error maybe awarding badge: {:?}", e);
anyhow!("error maybe awarding badge")
})?;
Ok(())
}
@@ -0,0 +1,94 @@
use anyhow::anyhow;
use config::bad_urls::is_bad_tts_model_download_url;
use container_common::anyhow_result::AnyhowResult;
use container_common::filesystem::check_file_exists::check_file_exists;
use container_common::filesystem::safe_delete_temp_directory::safe_delete_temp_directory;
use container_common::filesystem::safe_delete_temp_file::safe_delete_temp_file;
use container_common::hashing::hash_file_sha2::hash_file_sha2;
use crate::JobState;
use database_queries::queries::generic_download::job::list_available_generic_download_jobs::AvailableDownloadJob;
use database_queries::queries::generic_download::job::mark_generic_download_job_pending_and_grab_lock::mark_generic_download_job_pending_and_grab_lock;
use jobs_common::redis_job_status_logger::RedisJobStatusLogger;
use log::{info, warn};
use std::path::PathBuf;
use tempdir::TempDir;
use database_queries::queries::generic_download::job::mark_generic_download_job_done::mark_generic_download_job_done;
use crate::job_steps::process_hifigan_vocoder::process_hifigan_vocoder;
pub async fn process_single_job(job_state: &JobState, job: &AvailableDownloadJob) -> AnyhowResult<()> {
let mut redis = job_state.redis_pool.get()?;
let mut redis_logger = RedisJobStatusLogger::new_tts_download(
&mut redis,
&job.token);
// ==================== ATTEMPT TO GRAB JOB LOCK ==================== //
let lock_acquired = mark_generic_download_job_pending_and_grab_lock(&job_state.mysql_pool, job.id).await?;
if !lock_acquired {
warn!("Could not acquire job lock for: {}", &job.id.0);
return Ok(())
}
// ==================== SETUP TEMP DIRS ==================== //
let temp_dir = format!("temp_{}", job.id.0);
let temp_dir = TempDir::new(&temp_dir)?;
// ==================== DOWNLOAD MODEL FILE ==================== //
info!("Calling downloader...");
redis_logger.log_status("downloading model")?;
let download_url = job.download_url.as_ref()
.map(|c| c.to_string())
.unwrap_or("".to_string());
if is_bad_tts_model_download_url(&download_url)? {
warn!("Bad download URL: `{}`", &download_url);
return Err(anyhow!("Bad download URL: `{}`", &download_url));
}
let download_filename = match job_state.google_drive_downloader.download_file(&download_url, &temp_dir).await {
Ok(filename) => filename,
Err(e) => {
safe_delete_temp_directory(&temp_dir);
return Err(e);
}
};
// ==================== HANDLE DIFFERENT DOWNLOAD TYPES ==================== //
match job.download_type {
GenericDownloadType::HifiGan => {
process_hifigan_vocoder(job_state, job, &temp_dir).await?;
}
}
// =====================================================
info!("Marking job complete...");
mark_generic_download_job_done(
&job_state.mysql_pool,
job,
true,
Some(&entity_token),
Some(&entity_type),
).await?;
info!("Saved model record: {}", id);
job_state.firehose_publisher.publish_generic_download_finished(&job.creator_user_token, &model_token)
.await
.map_err(|e| {
warn!("error publishing event: {:?}", e);
anyhow!("error publishing event")
})?;
redis_logger.log_status("done")?;
info!("Job done: {}", job.id.0);
Ok(())
}
+29 -248
View File
@@ -10,6 +10,8 @@
#[macro_use] extern crate serde_derive;
pub mod job_state;
pub mod job_steps;
pub mod script_execution;
use anyhow::anyhow;
@@ -24,16 +26,20 @@ use container_common::filesystem::check_file_exists::check_file_exists;
use container_common::filesystem::safe_delete_temp_directory::safe_delete_temp_directory;
use container_common::filesystem::safe_delete_temp_file::safe_delete_temp_file;
use container_common::hashing::hash_file_sha2::hash_file_sha2;
use crate::job_state::JobState;
use crate::job_steps::process_single_job::process_single_job;
use crate::script_execution::hifigan_model_check_command::HifiGanModelCheckCommand;
use crate::script_execution::tacotron_model_check_command::TacotronModelCheckCommand;
use crate::script_execution::talknet_model_check_command::TalknetModelCheckCommand;
use database_queries::column_types::tts_model_type::TtsModelType;
use database_queries::mediators::badge_granter::BadgeGranter;
use database_queries::mediators::firehose_publisher::FirehosePublisher;
use database_queries::queries::generic_download::job::list_available_generic_download_jobs::{AvailableDownloadJob, list_available_generic_download_jobs};
use database_queries::queries::generic_download::job::mark_generic_download_job_failure::mark_generic_download_job_failure;
use database_queries::queries::tts::tts_download_jobs::tts_download_job_queries::TtsUploadJobRecord;
use database_queries::queries::tts::tts_download_jobs::tts_download_job_queries::grab_job_lock_and_mark_pending;
use database_queries::queries::tts::tts_download_jobs::tts_download_job_queries::insert_tts_model;
use database_queries::queries::tts::tts_download_jobs::tts_download_job_queries::mark_tts_upload_job_done;
use database_queries::queries::tts::tts_download_jobs::tts_download_job_queries::mark_tts_upload_job_failure;
use database_queries::queries::tts::tts_download_jobs::tts_download_job_queries::query_tts_upload_job_records;
use google_drive_common::google_drive_download_command::GoogleDriveDownloadCommand;
use jobs_common::noop_logger::NoOpLogger;
@@ -53,7 +59,6 @@ use std::time::Duration;
use storage_buckets_common::bucket_client::BucketClient;
use storage_buckets_common::bucket_path_unifier::BucketPathUnifier;
use tempdir::TempDir;
use crate::script_execution::hifigan_model_check_command::HifiGanModelCheckCommand;
// Buckets
const ENV_ACCESS_KEY : &'static str = "ACCESS_KEY";
@@ -64,37 +69,6 @@ const ENV_BUCKET_ROOT : &'static str = "TTS_DOWNLOAD_BUCKET_ROOT";
const DEFAULT_TEMP_DIR: &'static str = "/tmp";
struct Downloader {
pub download_temp_directory: PathBuf,
pub mysql_pool: MySqlPool,
pub redis_pool: r2d2::Pool<RedisConnectionManager>,
pub bucket_client: BucketClient,
pub firehose_publisher: FirehosePublisher,
pub badge_granter: BadgeGranter,
pub google_drive_downloader: GoogleDriveDownloadCommand,
pub bucket_path_unifier: BucketPathUnifier,
pub hifigan_model_check_command: HifiGanModelCheckCommand,
// Command to run
pub download_script: String,
// Root to store TTS results
pub bucket_root_tts_model_uploads: String,
// Sleep between batches
pub job_batch_wait_millis: u64,
// How long to wait between log lines
pub no_op_logger_millis: u64,
// Max job attempts before failure.
// NB: This is an i32 so we don't need to convert to db column type.
pub job_max_attempts: i32,
}
#[tokio::main]
async fn main() -> AnyhowResult<()> {
easyenv::init_all_with_default_logging(Some(DEFAULT_RUST_LOG));
@@ -106,7 +80,7 @@ async fn main() -> AnyhowResult<()> {
let server_hostname = hostname::get()
.ok()
.and_then(|h| h.into_string().ok())
.unwrap_or("tts-download-job".to_string());
.unwrap_or("generic-download-job".to_string());
info!("Hostname: {}", &server_hostname);
@@ -170,22 +144,17 @@ async fn main() -> AnyhowResult<()> {
firehose_publisher: firehose_publisher.clone(), // NB: Also safe
};
let hifigan_root_code_directory = easyenv::get_env_string_required("HIFIGAN_ROOT_CODE_DIRECTORY")?;
let hifigan_virtual_env_activation_command = easyenv::get_env_string_or_default(
"HIFIGAN_VIRTUAL_ENV_ACTIVATION_COMMAND",
"source python-tacotron/bin/activate");
let hifigan_model_check_script_name = easyenv::get_env_string_or_default(
"HIFIGAN_MODEL_CHECK_SCRIPT_NAME",
"vocodes_model_check_hifigan.py");
let hifigan_model_check_command= HifiGanModelCheckCommand::new(
&hifigan_root_code_directory,
&hifigan_virtual_env_activation_command,
&hifigan_model_check_script_name,
&easyenv::get_env_string_required("HIFIGAN_ROOT_CODE_DIRECTORY")?,
&easyenv::get_env_string_or_default(
"HIFIGAN_VIRTUAL_ENV_ACTIVATION_COMMAND",
"source python-tacotron/bin/activate"),
&easyenv::get_env_string_or_default(
"HIFIGAN_MODEL_CHECK_SCRIPT_NAME",
"vocodes_model_check_hifigan.py"),
);
let downloader = Downloader {
let job_state = JobState {
download_temp_directory: temp_directory,
mysql_pool,
redis_pool,
@@ -202,7 +171,7 @@ async fn main() -> AnyhowResult<()> {
no_op_logger_millis: common_env.no_op_logger_millis,
};
main_loop(downloader).await;
main_loop(job_state).await;
Ok(())
}
@@ -210,16 +179,16 @@ async fn main() -> AnyhowResult<()> {
const START_TIMEOUT_MILLIS : u64 = 500;
const INCREASE_TIMEOUT_MILLIS : u64 = 1000;
async fn main_loop(downloader: Downloader) {
async fn main_loop(job_state: JobState) {
let mut error_timeout_millis = START_TIMEOUT_MILLIS;
let mut noop_logger = NoOpLogger::new(downloader.no_op_logger_millis as i64);
let mut noop_logger = NoOpLogger::new(job_state.no_op_logger_millis as i64);
loop {
let num_records = 1;
let query_result = query_tts_upload_job_records(&downloader.mysql_pool, num_records).await;
let maybe_available_jobs = list_available_generic_download_jobs(&job_state.mysql_pool, num_records).await;
let jobs = match query_result {
let jobs = match maybe_available_jobs {
Ok(jobs) => jobs,
Err(e) => {
warn!("Error querying jobs: {:?}", e);
@@ -232,11 +201,11 @@ async fn main_loop(downloader: Downloader) {
if jobs.is_empty() {
noop_logger.log_after_awhile();
std::thread::sleep(Duration::from_millis(downloader.job_batch_wait_millis));
std::thread::sleep(Duration::from_millis(job_state.job_batch_wait_millis));
continue;
}
let result = process_jobs(&downloader, jobs).await;
let result = process_jobs(&job_state, jobs).await;
match result {
Ok(_) => {},
@@ -250,23 +219,23 @@ async fn main_loop(downloader: Downloader) {
error_timeout_millis = START_TIMEOUT_MILLIS; // reset
std::thread::sleep(Duration::from_millis(downloader.job_batch_wait_millis));
std::thread::sleep(Duration::from_millis(job_state.job_batch_wait_millis));
}
}
async fn process_jobs(downloader: &Downloader, jobs: Vec<TtsUploadJobRecord>) -> AnyhowResult<()> {
async fn process_jobs(job_state: &JobState, jobs: Vec<AvailableDownloadJob>) -> AnyhowResult<()> {
for job in jobs.into_iter() {
let result = process_job(downloader, &job).await;
let result = process_single_job(job_state, &job).await;
match result {
Ok(_) => {},
Err(e) => {
warn!("Failure to process job: {:?}", e);
let failure_reason = "";
let _r = mark_tts_upload_job_failure(
&downloader.mysql_pool,
let _r = mark_generic_download_job_failure(
&job_state.mysql_pool,
&job,
failure_reason,
downloader.job_max_attempts
job_state.job_max_attempts
).await;
}
}
@@ -287,191 +256,3 @@ fn read_metadata_file(filename: &PathBuf) -> AnyhowResult<FileMetadata> {
Ok(serde_json::from_str(&buffer)?)
}
async fn process_job(downloader: &Downloader, job: &TtsUploadJobRecord) -> AnyhowResult<()> {
// TODO: 1. Mark processing. (DONE)
// TODO: 2. Download. (DONE)
// TODO: 3. Upload. (DONE)
// TODO: 4. Save record. (DONE)
// TODO: 5. Mark job done. (DONE)
let mut redis = downloader.redis_pool.get()?;
let mut redis_logger = RedisJobStatusLogger::new_tts_download(
&mut redis,
&job.token);
// ==================== ATTEMPT TO GRAB JOB LOCK ==================== //
let lock_acquired = grab_job_lock_and_mark_pending(&downloader.mysql_pool, job).await?;
if !lock_acquired {
warn!("Could not acquire job lock for: {}", &job.id);
return Ok(())
}
// ==================== SETUP TEMP DIRS ==================== //
let temp_dir = format!("temp_{}", job.id);
let temp_dir = TempDir::new(&temp_dir)?;
// ==================== DOWNLOAD MODEL FILE ==================== //
info!("Calling downloader...");
redis_logger.log_status("downloading model")?;
let download_url = job.download_url.as_ref()
.map(|c| c.to_string())
.unwrap_or("".to_string());
if is_bad_tts_model_download_url(&download_url)? {
warn!("Bad download URL: `{}`", &download_url);
return Err(anyhow!("Bad download URL: `{}`", &download_url));
}
let download_filename = match downloader.google_drive_downloader.download_file(&download_url, &temp_dir).await {
Ok(filename) => filename,
Err(e) => {
safe_delete_temp_directory(&temp_dir);
return Err(e);
}
};
let model_type = if download_filename.to_lowercase().ends_with("zip") {
TtsModelType::Talknet
} else {
TtsModelType::Tacotron2
};
info!("Uploaded model type: {:?}", model_type);
if model_type == TtsModelType::Talknet {
// TODO: Finish supporting TalkNet
warn!("Unsupported model type");
return Err(anyhow!("unsupported model type"));
}
// ==================== RUN MODEL CHECK ==================== //
info!("Checking that model is valid...");
redis_logger.log_status("checking model")?;
let file_path = PathBuf::from(download_filename.clone());
let output_metadata_fs_path = temp_dir.path().join("metadata.json");
match model_type {
TtsModelType::Tacotron2 => {
let result = downloader.tacotron_tts_check.execute(
&file_path,
&output_metadata_fs_path,
false,
);
if let Err(e) = result {
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
}
},
TtsModelType::Talknet => {
let result = downloader.talknet_tts_check.execute(
&file_path,
&output_metadata_fs_path,
false,
);
if let Err(e) = result {
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
}
},
}
// ==================== CHECK ALL FILES EXIST AND GET METADATA ==================== //
info!("Checking that metadata output file exists...");
check_file_exists(&output_metadata_fs_path)?;
let file_metadata = match read_metadata_file(&output_metadata_fs_path) {
Ok(metadata) => metadata,
Err(e) => {
safe_delete_temp_file(&file_path);
safe_delete_temp_file(&output_metadata_fs_path);
safe_delete_temp_directory(&temp_dir);
return Err(e);
}
};
// ==================== UPLOAD MODEL FILE ==================== //
info!("Uploading model to GCS...");
let private_bucket_hash = hash_file_sha2(&download_filename)?;
info!("File hash: {}", private_bucket_hash);
let synthesizer_model_bucket_path = match model_type {
TtsModelType::Tacotron2 => downloader.bucket_path_unifier.tts_synthesizer_path(&private_bucket_hash),
TtsModelType::Talknet => downloader.bucket_path_unifier.tts_zipped_synthesizer_path(&private_bucket_hash),
};
info!("Destination bucket path: {:?}", &synthesizer_model_bucket_path);
redis_logger.log_status("uploading model")?;
if let Err(e) = downloader.bucket_client.upload_filename(&synthesizer_model_bucket_path, &file_path).await {
safe_delete_temp_file(&output_metadata_fs_path);
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
return Err(e);
}
// ==================== DELETE DOWNLOADED FILE ==================== //
// NB: We should be using a tempdir, but to make absolutely certain we don't overflow the disk...
safe_delete_temp_file(&output_metadata_fs_path);
safe_delete_temp_file(&file_path);
safe_delete_temp_directory(&temp_dir);
// ==================== SAVE RECORDS ==================== //
info!("Saving model record...");
let (id, model_token) = insert_tts_model(
&downloader.mysql_pool,
job,
&private_bucket_hash,
synthesizer_model_bucket_path,
file_metadata.file_size_bytes)
.await?;
info!("Marking job complete...");
mark_tts_upload_job_done(
&downloader.mysql_pool,
job,
true,
Some(&model_token)
).await?;
info!("Saved model record: {}", id);
downloader.firehose_publisher.publish_tts_model_upload_finished(&job.creator_user_token, &model_token)
.await
.map_err(|e| {
warn!("error publishing event: {:?}", e);
anyhow!("error publishing event")
})?;
downloader.badge_granter.maybe_grant_tts_model_uploads_badge(&job.creator_user_token)
.await
.map_err(|e| {
warn!("error maybe awarding badge: {:?}", e);
anyhow!("error maybe awarding badge")
})?;
redis_logger.log_status("done")?;
info!("Job done: {}", job.id);
Ok(())
}