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Author SHA1 Message Date
Brandon Thomas 2f767ef655 update download links 2025-07-17 21:53:54 -04:00
1062 changed files with 48339 additions and 23771 deletions
+3 -14
View File
@@ -26,23 +26,14 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: install Rust stable
uses: dtolnay/rust-toolchain@stable
- name: install wreq dependencies
run: |
choco install cmake -y
choco install strawberryperl -y
choco install pkgconfiglite -y
choco install llvm -y
choco install nasm -y
shell: cmd
- name: setup node
uses: actions/setup-node@v4
with:
node-version: lts/*
- name: install Rust stable
uses: dtolnay/rust-toolchain@stable
- name: install frontend dependencies
run: |
# Navigate to the frontend directory to install dependencies
@@ -92,8 +83,6 @@ jobs:
- name: build and publish
uses: tauri-apps/tauri-action@v0
env:
# NB(bt): This is needed by wreq. Hopefully it doesn't kill Tauri
RUSTFLAGS: "-C target-feature=+crt-static"
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# Use the SQLx query cache for SQLite
SQLX_OFFLINE: true
@@ -1,12 +0,0 @@
{
"db_name": "SQLite",
"query": "\n INSERT INTO tasks (\n id,\n task_status,\n task_type,\n model_type,\n provider,\n provider_job_id,\n frontend_caller,\n frontend_subscriber_id,\n frontend_subscriber_payload\n )\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 9
},
"nullable": []
},
"hash": "01a0bf33e8331c19dc73f064c54eaa863bec158ef7713450a06c75e246f5f08c"
}
@@ -1,12 +0,0 @@
{
"db_name": "MySQL",
"query": "\nINSERT INTO prompts\nSET\n token = ?,\n prompt_type = ?,\n\n maybe_creator_user_token = ?,\n \n maybe_model_type = ?,\n maybe_generation_provider = ?,\n\n maybe_positive_prompt = ?,\n maybe_negative_prompt = ?,\n \n maybe_other_args = ?,\n\n creator_ip_address = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 9
},
"nullable": []
},
"hash": "08f52f15acf6afc7091a525e3dc88f706c71c3579e5e81aa9903807d85f469ef"
}
@@ -1,69 +0,0 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n pci.media_token as `media_token: tokens::tokens::media_files::MediaFileToken`,\n pci.context_semantic_type as `context_semantic_type: enums::by_table::prompt_context_items::prompt_context_semantic_type::PromptContextSemanticType`,\n\n m.public_bucket_directory_hash,\n m.maybe_public_bucket_prefix,\n m.maybe_public_bucket_extension\n\nFROM prompt_context_items pci\nJOIN media_files m\nON\n pci.media_token = m.token\nWHERE\n pci.prompt_token = ?\nORDER BY pci.id ASC\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "media_token: tokens::tokens::media_files::MediaFileToken",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 1,
"name": "context_semantic_type: enums::by_table::prompt_context_items::prompt_context_semantic_type::PromptContextSemanticType",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 2,
"name": "public_bucket_directory_hash",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 3,
"name": "maybe_public_bucket_prefix",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 4,
"name": "maybe_public_bucket_extension",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
}
],
"parameters": {
"Right": 1
},
"nullable": [
false,
false,
false,
true,
true
]
},
"hash": "094eb099cde85835db0662c2700c6b82644b51bf9b3609391ed4d2945fe5e98f"
}
@@ -1,12 +1,12 @@
{
"db_name": "MySQL",
"query": "\nINSERT INTO generic_inference_jobs\nSET\n token = ?,\n uuid_idempotency_token = ?,\n\n job_type = ?,\n\n maybe_external_third_party = ?,\n maybe_external_third_party_id = ?,\n\n product_category = ?,\n inference_category = ?,\n\n maybe_model_type = NULL,\n maybe_model_token = NULL,\n\n maybe_input_source_token = NULL,\n maybe_input_source_token_type = NULL,\n\n maybe_download_url = NULL,\n maybe_cover_image_media_file_token = NULL,\n \n maybe_prompt_token = ?,\n\n maybe_raw_inference_text = NULL,\n\n maybe_inference_args = ?,\n\n maybe_creator_user_token = ?,\n maybe_creator_anonymous_visitor_token = ?,\n creator_ip_address = ?,\n creator_set_visibility = ?,\n\n priority_level = 0,\n is_keepalive_required = FALSE,\n max_duration_seconds = 0,\n\n is_debug_request = FALSE,\n maybe_routing_tag = NULL,\n\n status = ?\n ",
"query": "\nINSERT INTO generic_inference_jobs\nSET\n token = ?,\n uuid_idempotency_token = ?,\n\n job_type = ?,\n\n maybe_external_third_party = ?,\n maybe_external_third_party_id = ?,\n\n product_category = ?,\n inference_category = ?,\n\n maybe_model_type = NULL,\n maybe_model_token = NULL,\n\n maybe_input_source_token = NULL,\n maybe_input_source_token_type = NULL,\n\n maybe_download_url = NULL,\n maybe_cover_image_media_file_token = NULL,\n\n maybe_raw_inference_text = NULL,\n\n maybe_inference_args = ?,\n\n maybe_creator_user_token = ?,\n maybe_creator_anonymous_visitor_token = ?,\n creator_ip_address = ?,\n creator_set_visibility = ?,\n\n priority_level = 0,\n is_keepalive_required = FALSE,\n max_duration_seconds = 0,\n\n is_debug_request = FALSE,\n maybe_routing_tag = NULL,\n\n status = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 14
"Right": 13
},
"nullable": []
},
"hash": "002cdb3d086f3b4181e2997befa54bd8516cb1d3d3bb6e389862695318d5c299"
"hash": "0fa824822cd94024dce21243f41e69e4a3e8685c4de676834a7c0ee14982c976"
}
@@ -0,0 +1,12 @@
{
"db_name": "MySQL",
"query": "\nINSERT INTO prompts\nSET\n token = ?,\n prompt_type = ?,\n\n maybe_creator_user_token = ?,\n\n maybe_positive_prompt = ?,\n maybe_negative_prompt = ?,\n maybe_other_args = ?,\n\n creator_ip_address = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 7
},
"nullable": []
},
"hash": "13ca06bcbb4a576f8a2229a8554b7488d379baa381d8d5cb60972750e81b2173"
}
@@ -1,12 +0,0 @@
{
"db_name": "MySQL",
"query": "\nUPDATE generic_inference_jobs\nSET\n status = 'cancelled_by_system',\n retry_at = NULL,\n internal_debugging_failure_reason = 'reap_stale_fakeyou_jobs'\nWHERE\n job_type != 'fal_queue'\n AND status IN (\n 'pending',\n 'started',\n 'attempt_failed'\n )\n AND created_at > NOW() - INTERVAL 30 MINUTE\nLIMIT 5000\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 0
},
"nullable": []
},
"hash": "19708db99f2b3c6283d2115a511e0eb1c99fab396ad0effd9eb2dd79926e9c93"
}
@@ -0,0 +1,12 @@
{
"db_name": "SQLite",
"query": "\n INSERT INTO tasks (\n id,\n task_status,\n task_type,\n model_type,\n provider,\n provider_job_id,\n frontend_subscriber_id,\n frontend_subscriber_payload\n )\n VALUES (?, ?, ?, ?, ?, ?, ?, ?)\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 8
},
"nullable": []
},
"hash": "22b91a21cbb88abc9bc17b338cf2f9418e08e414667d44476623eb141ab17b87"
}
@@ -0,0 +1,12 @@
{
"db_name": "MySQL",
"query": "\nINSERT INTO media_files\nSET\n token = ?,\n\n media_class = ?,\n media_type = ?,\n\n origin_category = ?,\n origin_product_category = ?,\n\n maybe_engine_category = ?,\n maybe_animation_type = ?,\n\n maybe_mime_type = ?,\n file_size_bytes = ?,\n\n checksum_sha2 = ?,\n\n maybe_title = ?,\n maybe_duration_millis = ?,\n\n public_bucket_directory_hash = ?,\n maybe_public_bucket_prefix = ?,\n maybe_public_bucket_extension = ?,\n\n maybe_creator_user_token = ?,\n maybe_creator_anonymous_visitor_token = ?,\n creator_ip_address = ?,\n\n creator_set_visibility = ?,\n\n maybe_scene_source_media_file_token = ?,\n is_intermediate_system_file = ?,\n\n maybe_creator_file_synthetic_id = ?,\n maybe_creator_category_synthetic_id = ?,\n\n is_user_upload = TRUE,\n\n maybe_origin_model_type = NULL,\n maybe_origin_model_token = NULL\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 23
},
"nullable": []
},
"hash": "28cac5883464613d29bedbf7308a71c258f1bf4abb8f5ca3ae320db34c137955"
}
@@ -1,6 +1,6 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n p.token as `token: tokens::tokens::prompts::PromptToken`,\n\n p.prompt_type as `prompt_type: enums::by_table::prompts::prompt_type::PromptType`,\n\n p.maybe_model_type as `maybe_model_type: enums::common::model_type::ModelType`,\n p.maybe_generation_provider as `maybe_generation_provider: enums::common::generation_provider::GenerationProvider`,\n\n p.maybe_creator_user_token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n\n p.maybe_positive_prompt,\n p.maybe_negative_prompt,\n p.maybe_other_args,\n\n p.creator_ip_address,\n p.created_at\n\nFROM prompts as p\nWHERE\n p.token = ?\n ",
"query": "\nSELECT\n p.token as `token: tokens::tokens::prompts::PromptToken`,\n\n p.prompt_type as `prompt_type: enums::by_table::prompts::prompt_type::PromptType`,\n\n p.maybe_creator_user_token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n\n p.maybe_positive_prompt,\n p.maybe_negative_prompt,\n p.maybe_other_args,\n\n p.creator_ip_address,\n p.created_at\n\nFROM prompts as p\nWHERE\n p.token = ?\n ",
"describe": {
"columns": [
{
@@ -25,26 +25,6 @@
},
{
"ordinal": 2,
"name": "maybe_model_type: enums::common::model_type::ModelType",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 3,
"name": "maybe_generation_provider: enums::common::generation_provider::GenerationProvider",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 4,
"name": "maybe_creator_user_token: tokens::tokens::users::UserToken",
"type_info": {
"type": "VarString",
@@ -54,7 +34,7 @@
}
},
{
"ordinal": 5,
"ordinal": 3,
"name": "maybe_positive_prompt",
"type_info": {
"type": "Blob",
@@ -64,7 +44,7 @@
}
},
{
"ordinal": 6,
"ordinal": 4,
"name": "maybe_negative_prompt",
"type_info": {
"type": "Blob",
@@ -74,7 +54,7 @@
}
},
{
"ordinal": 7,
"ordinal": 5,
"name": "maybe_other_args",
"type_info": {
"type": "Blob",
@@ -84,7 +64,7 @@
}
},
{
"ordinal": 8,
"ordinal": 6,
"name": "creator_ip_address",
"type_info": {
"type": "VarString",
@@ -94,7 +74,7 @@
}
},
{
"ordinal": 9,
"ordinal": 7,
"name": "created_at",
"type_info": {
"type": "Timestamp",
@@ -114,11 +94,9 @@
true,
true,
true,
true,
true,
false,
false
]
},
"hash": "b46b0d022790f4e10f6e47126df0fdc55172bf8cda77d4e0b2afac9e6ebd1630"
"hash": "61744bbf83f7cf00348bcc21e868d9c506fec46da4a33ac50d63c6d9e00c0cec"
}
@@ -1,6 +1,6 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n jobs.token as `job_token: tokens::tokens::generic_inference_jobs::InferenceJobToken`,\n\n jobs.status as `status: enums::common::job_status_plus::JobStatusPlus`,\n \n jobs.maybe_external_third_party as `external_third_party: enums::by_table::generic_inference_jobs::inference_job_external_third_party::InferenceJobExternalThirdParty`,\n jobs.maybe_external_third_party_id as `external_third_party_id`,\n\n jobs.maybe_creator_user_token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n jobs.maybe_creator_anonymous_visitor_token as `maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken`,\n jobs.creator_ip_address,\n \n jobs.maybe_prompt_token as `maybe_prompt_token: tokens::tokens::prompts::PromptToken`,\n\n jobs.created_at,\n jobs.updated_at\n\nFROM generic_inference_jobs as jobs\n\nWHERE jobs.maybe_external_third_party = ?\nAND jobs.maybe_external_third_party_id = ?\n ",
"query": "\nSELECT\n jobs.token as `job_token: tokens::tokens::generic_inference_jobs::InferenceJobToken`,\n\n jobs.status as `status: enums::common::job_status_plus::JobStatusPlus`,\n \n jobs.maybe_external_third_party as `external_third_party: enums::by_table::generic_inference_jobs::inference_job_external_third_party::InferenceJobExternalThirdParty`,\n jobs.maybe_external_third_party_id as `external_third_party_id`,\n\n jobs.maybe_creator_user_token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n jobs.maybe_creator_anonymous_visitor_token as `maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken`,\n jobs.creator_ip_address,\n\n jobs.created_at,\n jobs.updated_at\n\nFROM generic_inference_jobs as jobs\n\nWHERE jobs.maybe_external_third_party = ?\nAND jobs.maybe_external_third_party_id = ?\n ",
"describe": {
"columns": [
{
@@ -75,16 +75,6 @@
},
{
"ordinal": 7,
"name": "maybe_prompt_token: tokens::tokens::prompts::PromptToken",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 8,
"name": "created_at",
"type_info": {
"type": "Timestamp",
@@ -94,7 +84,7 @@
}
},
{
"ordinal": 9,
"ordinal": 8,
"name": "updated_at",
"type_info": {
"type": "Timestamp",
@@ -115,10 +105,9 @@
true,
true,
false,
true,
false,
false
]
},
"hash": "fbe482c8987231c3b5d75f2e792d0fdd033de8a7eb821428fa034752c73edfb7"
"hash": "64dfacc1f0552d539f009fea91e902a2fe296c06ad539808596bbf2c8fc9eaa0"
}
@@ -1,12 +0,0 @@
{
"db_name": "MySQL",
"query": "\nUPDATE generic_inference_jobs\nSET\n status = ?,\n on_success_result_entity_type = ?,\n on_success_result_entity_token = ?,\n on_success_result_batch_token = ?,\n failure_reason = NULL,\n internal_debugging_failure_reason = NULL,\n success_execution_millis = NULL,\n success_inference_execution_millis = NULL,\n retry_at = NULL,\n successfully_completed_at = NOW()\nWHERE token = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 5
},
"nullable": []
},
"hash": "7e223e284b992b6eaf31bec057bae00fc4e085d68b064e370f0e3d92b82049b2"
}
@@ -1,6 +1,6 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n jobs.token as `job_token: tokens::tokens::generic_inference_jobs::InferenceJobToken`,\n\n jobs.status as `status: enums::common::job_status_plus::JobStatusPlus`,\n jobs.attempt_count,\n\n jobs.maybe_creator_user_token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n jobs.maybe_creator_anonymous_visitor_token as `maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken`,\n jobs.creator_ip_address,\n\n jobs.product_category as `product_category: enums::by_table::generic_inference_jobs::inference_job_product_category::InferenceJobProductCategory`,\n jobs.inference_category as `inference_category: enums::by_table::generic_inference_jobs::inference_category::InferenceCategory`,\n jobs.maybe_model_type,\n jobs.maybe_model_token,\n jobs.maybe_raw_inference_text,\n jobs.maybe_inference_args,\n\n jobs.frontend_failure_category as `maybe_frontend_failure_category: enums::by_table::generic_inference_jobs::frontend_failure_category::FrontendFailureCategory`,\n\n jobs.on_success_result_entity_type as maybe_result_entity_type,\n jobs.on_success_result_entity_token as maybe_result_entity_token,\n jobs.on_success_result_batch_token as maybe_result_batch_token,\n\n model_weights.title as maybe_model_weights_title,\n tts_models.title as maybe_tts_model_title,\n voice_conversion_models.title as maybe_voice_conversion_model_title,\n\n tts_results.public_bucket_wav_audio_path as maybe_tts_public_bucket_path,\n voice_conversion_results.public_bucket_hash as maybe_voice_conversion_public_bucket_hash,\n\n media_files.public_bucket_directory_hash as maybe_media_file_public_bucket_directory_hash,\n media_files.maybe_public_bucket_prefix as maybe_media_file_public_bucket_prefix,\n media_files.maybe_public_bucket_extension as maybe_media_file_public_bucket_extension,\n\n jobs.assigned_worker as maybe_assigned_worker,\n jobs.assigned_cluster as maybe_assigned_cluster,\n\n jobs.is_keepalive_required,\n\n jobs.created_at,\n jobs.updated_at,\n\n jobs.first_started_at as maybe_first_started_at,\n jobs.successfully_completed_at as maybe_successfully_completed_at,\n\n NOW() as database_clock\n\nFROM generic_inference_jobs as jobs\n\nLEFT OUTER JOIN model_weights ON jobs.maybe_model_token = model_weights.token\nLEFT OUTER JOIN tts_models ON jobs.maybe_model_token = tts_models.token\nLEFT OUTER JOIN voice_conversion_models ON jobs.maybe_model_token = voice_conversion_models.token\n\nLEFT OUTER JOIN tts_results ON jobs.on_success_result_entity_token = tts_results.token\nLEFT OUTER JOIN voice_conversion_results ON jobs.on_success_result_entity_token = voice_conversion_results.token\nLEFT OUTER JOIN media_files ON jobs.on_success_result_entity_token = media_files.token\n\nWHERE jobs.token = ?\n ",
"query": "\nSELECT\n jobs.token as `job_token: tokens::tokens::generic_inference_jobs::InferenceJobToken`,\n\n jobs.status as `status: enums::common::job_status_plus::JobStatusPlus`,\n jobs.attempt_count,\n\n jobs.maybe_creator_user_token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n jobs.maybe_creator_anonymous_visitor_token as `maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken`,\n jobs.creator_ip_address,\n\n jobs.product_category as `product_category: enums::by_table::generic_inference_jobs::inference_job_product_category::InferenceJobProductCategory`,\n jobs.inference_category as `inference_category: enums::by_table::generic_inference_jobs::inference_category::InferenceCategory`,\n jobs.maybe_model_type,\n jobs.maybe_model_token,\n jobs.maybe_raw_inference_text,\n jobs.maybe_inference_args,\n\n jobs.frontend_failure_category as `maybe_frontend_failure_category: enums::by_table::generic_inference_jobs::frontend_failure_category::FrontendFailureCategory`,\n\n jobs.on_success_result_entity_type as maybe_result_entity_type,\n jobs.on_success_result_entity_token as maybe_result_entity_token,\n\n model_weights.title as maybe_model_weights_title,\n tts_models.title as maybe_tts_model_title,\n voice_conversion_models.title as maybe_voice_conversion_model_title,\n\n tts_results.public_bucket_wav_audio_path as maybe_tts_public_bucket_path,\n voice_conversion_results.public_bucket_hash as maybe_voice_conversion_public_bucket_hash,\n\n media_files.public_bucket_directory_hash as maybe_media_file_public_bucket_directory_hash,\n media_files.maybe_public_bucket_prefix as maybe_media_file_public_bucket_prefix,\n media_files.maybe_public_bucket_extension as maybe_media_file_public_bucket_extension,\n\n jobs.assigned_worker as maybe_assigned_worker,\n jobs.assigned_cluster as maybe_assigned_cluster,\n\n jobs.is_keepalive_required,\n\n jobs.created_at,\n jobs.updated_at,\n\n jobs.first_started_at as maybe_first_started_at,\n jobs.successfully_completed_at as maybe_successfully_completed_at,\n\n NOW() as database_clock\n\nFROM generic_inference_jobs as jobs\n\nLEFT OUTER JOIN model_weights ON jobs.maybe_model_token = model_weights.token\nLEFT OUTER JOIN tts_models ON jobs.maybe_model_token = tts_models.token\nLEFT OUTER JOIN voice_conversion_models ON jobs.maybe_model_token = voice_conversion_models.token\n\nLEFT OUTER JOIN tts_results ON jobs.on_success_result_entity_token = tts_results.token\nLEFT OUTER JOIN voice_conversion_results ON jobs.on_success_result_entity_token = voice_conversion_results.token\nLEFT OUTER JOIN media_files ON jobs.on_success_result_entity_token = media_files.token\n\nWHERE jobs.token = ?\n ",
"describe": {
"columns": [
{
@@ -155,16 +155,6 @@
},
{
"ordinal": 15,
"name": "maybe_result_batch_token",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 16,
"name": "maybe_model_weights_title",
"type_info": {
"type": "VarString",
@@ -174,7 +164,7 @@
}
},
{
"ordinal": 17,
"ordinal": 16,
"name": "maybe_tts_model_title",
"type_info": {
"type": "VarString",
@@ -184,7 +174,7 @@
}
},
{
"ordinal": 18,
"ordinal": 17,
"name": "maybe_voice_conversion_model_title",
"type_info": {
"type": "VarString",
@@ -194,7 +184,7 @@
}
},
{
"ordinal": 19,
"ordinal": 18,
"name": "maybe_tts_public_bucket_path",
"type_info": {
"type": "VarString",
@@ -204,7 +194,7 @@
}
},
{
"ordinal": 20,
"ordinal": 19,
"name": "maybe_voice_conversion_public_bucket_hash",
"type_info": {
"type": "VarString",
@@ -214,7 +204,7 @@
}
},
{
"ordinal": 21,
"ordinal": 20,
"name": "maybe_media_file_public_bucket_directory_hash",
"type_info": {
"type": "VarString",
@@ -224,7 +214,7 @@
}
},
{
"ordinal": 22,
"ordinal": 21,
"name": "maybe_media_file_public_bucket_prefix",
"type_info": {
"type": "VarString",
@@ -234,7 +224,7 @@
}
},
{
"ordinal": 23,
"ordinal": 22,
"name": "maybe_media_file_public_bucket_extension",
"type_info": {
"type": "VarString",
@@ -244,7 +234,7 @@
}
},
{
"ordinal": 24,
"ordinal": 23,
"name": "maybe_assigned_worker",
"type_info": {
"type": "VarString",
@@ -254,7 +244,7 @@
}
},
{
"ordinal": 25,
"ordinal": 24,
"name": "maybe_assigned_cluster",
"type_info": {
"type": "VarString",
@@ -264,7 +254,7 @@
}
},
{
"ordinal": 26,
"ordinal": 25,
"name": "is_keepalive_required",
"type_info": {
"type": "Tiny",
@@ -274,7 +264,7 @@
}
},
{
"ordinal": 27,
"ordinal": 26,
"name": "created_at",
"type_info": {
"type": "Timestamp",
@@ -284,7 +274,7 @@
}
},
{
"ordinal": 28,
"ordinal": 27,
"name": "updated_at",
"type_info": {
"type": "Timestamp",
@@ -294,7 +284,7 @@
}
},
{
"ordinal": 29,
"ordinal": 28,
"name": "maybe_first_started_at",
"type_info": {
"type": "Timestamp",
@@ -304,7 +294,7 @@
}
},
{
"ordinal": 30,
"ordinal": 29,
"name": "maybe_successfully_completed_at",
"type_info": {
"type": "Timestamp",
@@ -314,7 +304,7 @@
}
},
{
"ordinal": 31,
"ordinal": 30,
"name": "database_clock",
"type_info": {
"type": "Datetime",
@@ -353,7 +343,6 @@
true,
true,
true,
true,
false,
false,
false,
@@ -362,5 +351,5 @@
false
]
},
"hash": "243afe0bc574f9f233c7797add9faf96440e2bafd52032e07951272fb1ec78b1"
"hash": "90366e1705a0343bdfe4fc472d701b8e1dbd3a2dabedaadb633ac3542de72fa7"
}
@@ -1,311 +0,0 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n m.token as `token: tokens::tokens::media_files::MediaFileToken`,\n\n m.media_class as `media_class: enums::by_table::media_files::media_file_class::MediaFileClass`,\n m.media_type as `media_type: enums::by_table::media_files::media_file_type::MediaFileType`,\n\n m.maybe_mime_type,\n\n users.token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n users.username as maybe_creator_username,\n users.display_name as maybe_creator_display_name,\n users.email_gravatar_hash as maybe_creator_gravatar_hash,\n\n m.maybe_creator_anonymous_visitor_token as `maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken`,\n\n m.maybe_batch_token as `maybe_batch_token: tokens::tokens::batch_generations::BatchGenerationToken`,\n\n m.maybe_title,\n m.maybe_text_transcript,\n\n m.maybe_origin_filename,\n\n m.maybe_duration_millis,\n\n m.maybe_prompt_token as `maybe_prompt_token: tokens::tokens::prompts::PromptToken`,\n prompts.maybe_other_args as maybe_other_prompt_args,\n\n media_file_cover_image.public_bucket_directory_hash as maybe_file_cover_image_public_bucket_hash,\n media_file_cover_image.maybe_public_bucket_prefix as maybe_file_cover_image_public_bucket_prefix,\n media_file_cover_image.maybe_public_bucket_extension as maybe_file_cover_image_public_bucket_extension,\n\n m.creator_set_visibility as `creator_set_visibility: enums::common::visibility::Visibility`,\n\n m.is_user_upload,\n m.is_intermediate_system_file,\n\n m.public_bucket_directory_hash,\n m.maybe_public_bucket_prefix,\n m.maybe_public_bucket_extension,\n\n m.created_at,\n m.updated_at\n\nFROM media_files AS m\nLEFT OUTER JOIN users\n ON m.maybe_creator_user_token = users.token\nLEFT OUTER JOIN media_files as media_file_cover_image\n ON media_file_cover_image.token = m.maybe_cover_image_media_file_token\nLEFT OUTER JOIN prompts\n ON prompts.token = m.maybe_prompt_token\nWHERE\n m.maybe_batch_token = ?\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "token: tokens::tokens::media_files::MediaFileToken",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 1,
"name": "media_class: enums::by_table::media_files::media_file_class::MediaFileClass",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 2,
"name": "media_type: enums::by_table::media_files::media_file_type::MediaFileType",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 3,
"name": "maybe_mime_type",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 4,
"name": "maybe_creator_user_token: tokens::tokens::users::UserToken",
"type_info": {
"type": "VarString",
"flags": "UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 5,
"name": "maybe_creator_username",
"type_info": {
"type": "VarString",
"flags": "UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 80
}
},
{
"ordinal": 6,
"name": "maybe_creator_display_name",
"type_info": {
"type": "VarString",
"flags": "BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 80
}
},
{
"ordinal": 7,
"name": "maybe_creator_gravatar_hash",
"type_info": {
"type": "String",
"flags": "BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 8,
"name": "maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 9,
"name": "maybe_batch_token: tokens::tokens::batch_generations::BatchGenerationToken",
"type_info": {
"type": "VarString",
"flags": "MULTIPLE_KEY | BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 10,
"name": "maybe_title",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 1020
}
},
{
"ordinal": 11,
"name": "maybe_text_transcript",
"type_info": {
"type": "Blob",
"flags": "BLOB | BINARY",
"char_set": 224,
"max_size": 262140
}
},
{
"ordinal": 12,
"name": "maybe_origin_filename",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 1020
}
},
{
"ordinal": 13,
"name": "maybe_duration_millis",
"type_info": {
"type": "Long",
"flags": "",
"char_set": 63,
"max_size": 10
}
},
{
"ordinal": 14,
"name": "maybe_prompt_token: tokens::tokens::prompts::PromptToken",
"type_info": {
"type": "VarString",
"flags": "MULTIPLE_KEY | BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 15,
"name": "maybe_other_prompt_args",
"type_info": {
"type": "Blob",
"flags": "BLOB | BINARY",
"char_set": 224,
"max_size": 262140
}
},
{
"ordinal": 16,
"name": "maybe_file_cover_image_public_bucket_hash",
"type_info": {
"type": "VarString",
"flags": "BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 17,
"name": "maybe_file_cover_image_public_bucket_prefix",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 18,
"name": "maybe_file_cover_image_public_bucket_extension",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 19,
"name": "creator_set_visibility: enums::common::visibility::Visibility",
"type_info": {
"type": "String",
"flags": "NOT_NULL | BINARY | ENUM",
"char_set": 224,
"max_size": 28
}
},
{
"ordinal": 20,
"name": "is_user_upload",
"type_info": {
"type": "Tiny",
"flags": "NOT_NULL | MULTIPLE_KEY",
"char_set": 63,
"max_size": 1
}
},
{
"ordinal": 21,
"name": "is_intermediate_system_file",
"type_info": {
"type": "Tiny",
"flags": "NOT_NULL | MULTIPLE_KEY",
"char_set": 63,
"max_size": 1
}
},
{
"ordinal": 22,
"name": "public_bucket_directory_hash",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 23,
"name": "maybe_public_bucket_prefix",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 24,
"name": "maybe_public_bucket_extension",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 25,
"name": "created_at",
"type_info": {
"type": "Timestamp",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | TIMESTAMP",
"char_set": 63,
"max_size": 19
}
},
{
"ordinal": 26,
"name": "updated_at",
"type_info": {
"type": "Timestamp",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | TIMESTAMP | ON_UPDATE_NOW",
"char_set": 63,
"max_size": 19
}
}
],
"parameters": {
"Right": 1
},
"nullable": [
false,
false,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
true,
true,
false,
false
]
},
"hash": "971471f349bcd22364b16b5d6c68e807ed897101eec1e8a62a7b8fab3359fa0c"
}
@@ -1,12 +0,0 @@
{
"db_name": "MySQL",
"query": "\nINSERT INTO media_files\nSET\n token = ?,\n\n media_class = ?,\n media_type = ?,\n\n origin_category = ?,\n origin_product_category = ?,\n\n maybe_engine_category = ?,\n maybe_animation_type = ?,\n\n maybe_mime_type = ?,\n file_size_bytes = ?,\n\n checksum_sha2 = ?,\n\n maybe_prompt_token = ?,\n\n maybe_title = ?,\n maybe_duration_millis = ?,\n\n public_bucket_directory_hash = ?,\n maybe_public_bucket_prefix = ?,\n maybe_public_bucket_extension = ?,\n\n maybe_creator_user_token = ?,\n maybe_creator_anonymous_visitor_token = ?,\n creator_ip_address = ?,\n\n creator_set_visibility = ?,\n\n maybe_scene_source_media_file_token = ?,\n is_intermediate_system_file = ?,\n\n maybe_creator_file_synthetic_id = ?,\n maybe_creator_category_synthetic_id = ?,\n\n is_user_upload = TRUE,\n\n maybe_origin_model_type = NULL,\n maybe_origin_model_token = NULL\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 24
},
"nullable": []
},
"hash": "e86494c0a53247903aa58009e2a26c4db90a89e9f6ea805ffb3929faf69a431d"
}
@@ -0,0 +1,12 @@
{
"db_name": "MySQL",
"query": "\nUPDATE generic_inference_jobs\nSET\n status = ?,\n on_success_result_entity_type = ?,\n on_success_result_entity_token = ?,\n failure_reason = NULL,\n internal_debugging_failure_reason = NULL,\n success_execution_millis = NULL,\n success_inference_execution_millis = NULL,\n retry_at = NULL,\n successfully_completed_at = NOW()\nWHERE token = ?\n ",
"describe": {
"columns": [],
"parameters": {
"Right": 4
},
"nullable": []
},
"hash": "f68a8917e639418a0bb952bef606c96299001e143c745ee30df99b72d1235d35"
}
@@ -1,311 +0,0 @@
{
"db_name": "MySQL",
"query": "\nSELECT\n m.token as `token: tokens::tokens::media_files::MediaFileToken`,\n\n m.media_class as `media_class: enums::by_table::media_files::media_file_class::MediaFileClass`,\n m.media_type as `media_type: enums::by_table::media_files::media_file_type::MediaFileType`,\n\n m.maybe_mime_type,\n\n users.token as `maybe_creator_user_token: tokens::tokens::users::UserToken`,\n users.username as maybe_creator_username,\n users.display_name as maybe_creator_display_name,\n users.email_gravatar_hash as maybe_creator_gravatar_hash,\n\n m.maybe_creator_anonymous_visitor_token as `maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken`,\n\n m.maybe_batch_token as `maybe_batch_token: tokens::tokens::batch_generations::BatchGenerationToken`,\n\n m.maybe_title,\n m.maybe_text_transcript,\n\n m.maybe_origin_filename,\n\n m.maybe_duration_millis,\n\n m.maybe_prompt_token as `maybe_prompt_token: tokens::tokens::prompts::PromptToken`,\n prompts.maybe_other_args as maybe_other_prompt_args,\n\n media_file_cover_image.public_bucket_directory_hash as maybe_file_cover_image_public_bucket_hash,\n media_file_cover_image.maybe_public_bucket_prefix as maybe_file_cover_image_public_bucket_prefix,\n media_file_cover_image.maybe_public_bucket_extension as maybe_file_cover_image_public_bucket_extension,\n\n m.creator_set_visibility as `creator_set_visibility: enums::common::visibility::Visibility`,\n\n m.is_user_upload,\n m.is_intermediate_system_file,\n\n m.public_bucket_directory_hash,\n m.maybe_public_bucket_prefix,\n m.maybe_public_bucket_extension,\n\n m.created_at,\n m.updated_at\n\nFROM media_files AS m\nLEFT OUTER JOIN users\n ON m.maybe_creator_user_token = users.token\nLEFT OUTER JOIN media_files as media_file_cover_image\n ON media_file_cover_image.token = m.maybe_cover_image_media_file_token\nLEFT OUTER JOIN prompts\n ON prompts.token = m.maybe_prompt_token\nWHERE\n m.maybe_batch_token = ?\n AND m.user_deleted_at IS NULL\n AND m.mod_deleted_at IS NULL\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "token: tokens::tokens::media_files::MediaFileToken",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 1,
"name": "media_class: enums::by_table::media_files::media_file_class::MediaFileClass",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 2,
"name": "media_type: enums::by_table::media_files::media_file_type::MediaFileType",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 3,
"name": "maybe_mime_type",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 4,
"name": "maybe_creator_user_token: tokens::tokens::users::UserToken",
"type_info": {
"type": "VarString",
"flags": "UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 5,
"name": "maybe_creator_username",
"type_info": {
"type": "VarString",
"flags": "UNIQUE_KEY | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 80
}
},
{
"ordinal": 6,
"name": "maybe_creator_display_name",
"type_info": {
"type": "VarString",
"flags": "BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 80
}
},
{
"ordinal": 7,
"name": "maybe_creator_gravatar_hash",
"type_info": {
"type": "String",
"flags": "BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 8,
"name": "maybe_creator_anonymous_visitor_token: tokens::tokens::anonymous_visitor_tracking::AnonymousVisitorTrackingToken",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 9,
"name": "maybe_batch_token: tokens::tokens::batch_generations::BatchGenerationToken",
"type_info": {
"type": "VarString",
"flags": "MULTIPLE_KEY | BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 10,
"name": "maybe_title",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 1020
}
},
{
"ordinal": 11,
"name": "maybe_text_transcript",
"type_info": {
"type": "Blob",
"flags": "BLOB | BINARY",
"char_set": 224,
"max_size": 262140
}
},
{
"ordinal": 12,
"name": "maybe_origin_filename",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 1020
}
},
{
"ordinal": 13,
"name": "maybe_duration_millis",
"type_info": {
"type": "Long",
"flags": "",
"char_set": 63,
"max_size": 10
}
},
{
"ordinal": 14,
"name": "maybe_prompt_token: tokens::tokens::prompts::PromptToken",
"type_info": {
"type": "VarString",
"flags": "MULTIPLE_KEY | BINARY",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 15,
"name": "maybe_other_prompt_args",
"type_info": {
"type": "Blob",
"flags": "BLOB | BINARY",
"char_set": 224,
"max_size": 262140
}
},
{
"ordinal": 16,
"name": "maybe_file_cover_image_public_bucket_hash",
"type_info": {
"type": "VarString",
"flags": "BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 17,
"name": "maybe_file_cover_image_public_bucket_prefix",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 18,
"name": "maybe_file_cover_image_public_bucket_extension",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 19,
"name": "creator_set_visibility: enums::common::visibility::Visibility",
"type_info": {
"type": "String",
"flags": "NOT_NULL | BINARY | ENUM",
"char_set": 224,
"max_size": 28
}
},
{
"ordinal": 20,
"name": "is_user_upload",
"type_info": {
"type": "Tiny",
"flags": "NOT_NULL | MULTIPLE_KEY",
"char_set": 63,
"max_size": 1
}
},
{
"ordinal": 21,
"name": "is_intermediate_system_file",
"type_info": {
"type": "Tiny",
"flags": "NOT_NULL | MULTIPLE_KEY",
"char_set": 63,
"max_size": 1
}
},
{
"ordinal": 22,
"name": "public_bucket_directory_hash",
"type_info": {
"type": "VarString",
"flags": "NOT_NULL | BINARY | NO_DEFAULT_VALUE",
"char_set": 224,
"max_size": 128
}
},
{
"ordinal": 23,
"name": "maybe_public_bucket_prefix",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 24,
"name": "maybe_public_bucket_extension",
"type_info": {
"type": "VarString",
"flags": "BINARY",
"char_set": 224,
"max_size": 64
}
},
{
"ordinal": 25,
"name": "created_at",
"type_info": {
"type": "Timestamp",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | TIMESTAMP",
"char_set": 63,
"max_size": 19
}
},
{
"ordinal": 26,
"name": "updated_at",
"type_info": {
"type": "Timestamp",
"flags": "NOT_NULL | MULTIPLE_KEY | BINARY | TIMESTAMP | ON_UPDATE_NOW",
"char_set": 63,
"max_size": 19
}
}
],
"parameters": {
"Right": 1
},
"nullable": [
false,
false,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
true,
true,
false,
false
]
},
"hash": "f75fedb86a93ac2542315ddb7ef0d46aa42ecc25a3cf9856219114064183337a"
}
Generated
+107 -580
View File
File diff suppressed because it is too large Load Diff
+1 -7
View File
@@ -10,7 +10,6 @@ members = [
"crates/api_clients/fal_client",
"crates/api_clients/google_drive_common",
"crates/api_clients/google_sign_in",
"crates/api_clients/midjourney_client",
"crates/api_clients/openai_sora_client",
"crates/api_clients/openart_client",
"crates/api_clients/runwayml_client",
@@ -43,7 +42,6 @@ members = [
"crates/lib/caching/redis_caching",
"crates/lib/cloudflare_errors",
"crates/lib/concurrency",
"crates/lib/cookie_store",
"crates/lib/cookies",
"crates/lib/data/collections",
"crates/lib/data/crockford",
@@ -201,8 +199,7 @@ log = "0.4.27"
once_cell = "1.21.3"
rand = "0.9.1"
regex = "1.11.1"
reqwest = { version = "0.12.22", features = ["json", "cookies"] }
reqwest-websocket = { version = "0.5.0" }
reqwest = { version = "0.12.15", features = ["json", "cookies"] }
serde = { version = "1.0.219", features = ["derive"] }
serde_derive = "1.0.219"
serde_json = "1.0.140"
@@ -221,7 +218,6 @@ artcraft_api_defs = { path = "crates/schema/public/api/artcraft_api_defs" }
build_metadata = { path = "crates/lib/build_metadata" }
cloud_storage = { path = "crates/api_clients/cloud_storage" }
cloudflare_errors = { path = "crates/lib/cloudflare_errors" }
cookie_store = { path = "crates/lib/cookie_store" }
crockford = { path = "crates/lib/data/crockford" }
enums = { path = "crates/schema/public/enums" }
enums_public = { path = "crates/schema/public/enums_public" }
@@ -234,7 +230,6 @@ images = { path = "crates/lib/files/images" }
jwt_light = { path = "crates/lib/jwt_light" }
memory_caching = { path = "crates/lib/caching/memory_caching" }
memory_store = { path = "crates/lib/caching/memory_store" }
midjourney_client = { path = "crates/api_clients/midjourney_client" }
mimetypes = { path = "crates/lib/files/mimetypes" }
openai_sora_client = { path = "crates/api_clients/openai_sora_client" }
primitives = { path = "crates/lib/data/primitives" }
@@ -243,6 +238,5 @@ sqlite_tasks = { path = "crates/schema/database/sqlite_tasks" }
storyteller_client = { path = "crates/api_clients/storyteller_client" }
subprocess_common = { path = "crates/lib/subprocess_common" }
test_data = { path = "crates/lib/test_data" }
testing = { path = "crates/lib/testing" }
tokens = { path = "crates/schema/public/tokens" }
web_base64 = { path = "crates/lib/data/web_base64" }
@@ -1,53 +1,20 @@
-- noinspection SqlDialectInspectionForFile
--
-- NB: This version needs to be bumped even if just adding or changing comments!
-- Failure to do so will cause Windows to segfault at start. (This is horrible!)
--
-- NB: `app_state_dir.rs` contains the file version number.
--
-- Migration history:
-- tasks_v1.sqlite - initial version
-- tasks_v2.sqlite - added model_type (nullable)
-- tasks_v3.sqlite - added frontend_caller, comments
CREATE TABLE tasks (
-- Task auto-incrementing primary key.
-- We don't use this.
id TEXT NOT NULL PRIMARY KEY,
-- TaskStatus enum
-- This is how the job system manages job states.
-- e.g. pending, started, complete_success, dead, etc.
task_status TEXT NOT NULL,
-- TaskType enum
-- e.g. image_generation, video_generation, etc.
task_type TEXT NOT NULL,
-- TaskModelType enum
-- e.g. flux_1_dev, veo_2, etc.
model_type TEXT,
-- GenerationProvider enum
-- Together with `provider_job_id`, this creates a foreign key lookup to the job.
-- e.g. 'artcraft', 'fal', 'sora', etc.
provider TEXT,
-- The primary key for the job in the provider's system.
provider_job_id TEXT,
-- OPTIONAL.
-- Tell the job system which caller initiated the task.
-- e.g. 'canvas'
frontend_caller TEXT,
-- OPTIONAL.
-- An arbitrary opaque identifier that frontend can set.
frontend_subscriber_id TEXT,
-- OPTIONAL.
-- An opaque JSON payload set by the frontend subscriber that
-- will be re-emitted back to the frontend.
frontend_subscriber_payload TEXT,
created_at INTEGER NOT NULL DEFAULT (unixepoch('now')),
@@ -1,5 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE prompts DROP COLUMN maybe_model_type;
@@ -1,6 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE prompts
ADD COLUMN maybe_model_type VARCHAR(32) DEFAULT NULL;
@@ -1,5 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE prompts DROP COLUMN maybe_generation_provider;
@@ -1,6 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE prompts
ADD COLUMN maybe_generation_provider VARCHAR(16) DEFAULT NULL;
@@ -1,5 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE prompts DROP COLUMN maybe_anonymous_visitor_token;
@@ -1,6 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE prompts
ADD COLUMN maybe_anonymous_visitor_token VARCHAR(32) DEFAULT NULL;
@@ -1,5 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
DROP TABLE prompt_context_items;
@@ -1,30 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- An n:m join table between prompts and media_files.
-- This associates mostly image media files with prompts, though we could conceivably
-- also store 3D sets, etc.
CREATE TABLE prompt_context_items (
-- Not used for anything except replication.
id BIGINT(20) NOT NULL AUTO_INCREMENT,
-- The semantic type of context.
context_semantic_type VARCHAR(16) NOT NULL,
-- Foreign key, many-to-many
-- There is no uniqueness constraint for (prompt_token, media_token) because a user
-- might attach many duplicate images to the same prompt.
prompt_token VARCHAR(32) NOT NULL,
-- Foreign key to the media token
-- There is no uniqueness constraint for (prompt_token, media_token) because a user
-- might attach many duplicate images to the same prompt.
media_token VARCHAR(32) NOT NULL,
-- INDICES --
PRIMARY KEY (id),
KEY index_prompt_token (prompt_token),
KEY index_media_token (media_token)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
@@ -1,5 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE generic_inference_jobs DROP COLUMN maybe_prompt_token;
@@ -1,6 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE generic_inference_jobs
ADD COLUMN maybe_prompt_token VARCHAR(32) DEFAULT NULL;
@@ -1,5 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE media_files DROP COLUMN maybe_generation_provider;
@@ -1,6 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
ALTER TABLE media_files
ADD COLUMN maybe_generation_provider VARCHAR(16) DEFAULT NULL;
@@ -15,9 +15,9 @@ CREATE TABLE batch_generations (
-- The type of record this is attached to
-- Currently supported values:
-- * 'model_weight' (deprecated)
-- * 'comment' (deprecated)
-- * 'model_weight'
-- * 'media_file'
-- * 'comment'
entity_type VARCHAR(32) NOT NULL,
-- The token for the record.
@@ -37,4 +37,6 @@ CREATE TABLE batch_generations (
-- 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;
@@ -21,8 +21,6 @@ CREATE TABLE generic_inference_jobs (
-- The new enum for the type of job, which will eventually replace `inference_category` and `maybe_model_type`.
-- This isn't fully supported yet in the inference-job, but we'll start populating it and adding logic around it.
-- We'll start this out as nullable, then migrate the old rows with a default column value.
--
-- Fal jobs have the type `fal_queue`.
job_type VARCHAR(32) DEFAULT NULL,
-- There is an index on this column.
@@ -105,11 +103,6 @@ CREATE TABLE generic_inference_jobs (
-- And furthermore, not all download URLs have a cover image.
maybe_cover_image_media_file_token VARCHAR(32) DEFAULT NULL,
-- If we pre-constructed a prompt, this will be copied to the resultant media generated.
-- This is especially important for Fal-related jobs and endpoints. We need this for keeping
-- track of all the prompt details, context images, etc.
maybe_prompt_token VARCHAR(30) DEFAULT NULL,
-- A migration flag we can control from the backend API service which will tell
-- the worker where to store the results. If false, GCP. If true, AWS.
store_in_aws BOOLEAN NOT NULL DEFAULT FALSE,
-3
View File
@@ -61,9 +61,6 @@ CREATE TABLE media_files (
-- * 'workflow' (DEPRECATED)
origin_product_category VARCHAR(16) NOT NULL DEFAULT "unknown",
-- What service provided the generation (if any).
maybe_generation_provider VARCHAR(16) DEFAULT NULL,
-- For inference that can be tied back to a model, the type of model.
-- There are multiple indices on this column!
-- DO NOT EXPOSE THIS TO USERS VIA THE API, as we may leak secrets in doing so.
@@ -19,25 +19,13 @@ CREATE TABLE prompts (
-- Original product to which the prompt applied.
-- Prompts may or may not be compatible across products.
-- Possible values:
-- * 'artcraft_app'
-- * 'stable_diffusion' (legacy)
-- * 'comfy_ui' (legacy)
-- * 'stable_diffusion'
-- * 'comfy_ui'
prompt_type VARCHAR(16) NOT NULL,
-- What type of model was used to generate the result.
-- NB: We're conflating prompts with outputs, but in a
-- sense the model is inextricably part of the prompt.
maybe_model_type VARCHAR(32) DEFAULT NULL,
-- What service provided the generation.
maybe_generation_provider VARCHAR(16) NOT NULL,
-- Whoever created the prompt
-- Whomever created the prompt
maybe_creator_user_token VARCHAR(32) DEFAULT NULL,
-- Whoever created the prompt (anonymous user tracking)
maybe_anonymous_visitor_token VARCHAR(32) DEFAULT NULL,
-- ========== PROMPT DETAILS ==========
-- The positive prompt (optional)
@@ -1,30 +0,0 @@
-- noinspection SqlDialectInspectionForFile
-- noinspection SqlNoDataSourceInspectionForFile
-- noinspection SqlResolveForFile
-- An n:m join table between prompts and media_files.
-- This associates mostly image media files with prompts, though we could conceivably
-- also store 3D sets, etc.
CREATE TABLE prompt_context_items (
-- Not used for anything except replication.
id BIGINT(20) NOT NULL AUTO_INCREMENT,
-- Foreign key, many-to-many
-- There is no uniqueness constraint for (prompt_token, media_token) because a user
-- might attach many duplicate images to the same prompt.
prompt_token VARCHAR(32) NOT NULL,
-- Foreign key to the media token
-- There is no uniqueness constraint for (prompt_token, media_token) because a user
-- might attach many duplicate images to the same prompt.
media_token VARCHAR(32) NOT NULL,
-- The semantic type of context.
context_semantic_type VARCHAR(16) NOT NULL,
-- INDICES --
PRIMARY KEY (id),
KEY index_prompt_token (prompt_token),
KEY index_media_token (media_token)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
@@ -1,89 +0,0 @@
use crate::creds::fal_api_key::FalApiKey;
use crate::error::classify_fal_error::classify_fal_error;
use crate::error::fal_error_plus::FalErrorPlus;
use fal::prelude::fal_ai::flux_pro::kontext::max::{max, FluxProKontextMaxInput};
use fal::webhook::WebhookResponse;
use reqwest::IntoUrl;
pub struct FluxProKontextMaxArgs<'a, U: IntoUrl, R: IntoUrl> {
// Request
pub prompt: &'a str,
pub image_url: U,
pub num_images: FluxProKontextMaxNumImages,
// Fulfillment
pub webhook_url: R,
pub api_key: &'a FalApiKey,
}
#[derive(Copy, Clone, Debug)]
pub enum FluxProKontextMaxNumImages {
One, // Default
Two,
Three,
Four,
}
pub async fn enqueue_flux_pro_kontext_max_edit_webhook<U: IntoUrl, R: IntoUrl>(
args: FluxProKontextMaxArgs<'_, U, R>
) -> Result<WebhookResponse, FalErrorPlus> {
let num_images = match args.num_images {
FluxProKontextMaxNumImages::One => 1,
FluxProKontextMaxNumImages::Two => 2,
FluxProKontextMaxNumImages::Three => 3,
FluxProKontextMaxNumImages::Four => 4,
};
let request = FluxProKontextMaxInput {
prompt: args.prompt.to_string(),
image_url: args.image_url.as_str().to_string(),
num_images: Some(num_images),
// Maybe expose
aspect_ratio: None,
safety_tolerance: Some("5".to_string()), // NB: 5 is most tolerant
output_format: Some("png".to_string()), // png or jpeg
seed: None,
// Constants
sync_mode: None, // Synchronous / slow
};
let result = max(request)
.with_api_key(&args.api_key.0)
.queue_webhook(args.webhook_url)
.await;
result.map_err(|err| classify_fal_error(err))
}
#[cfg(test)]
mod tests {
use crate::creds::fal_api_key::FalApiKey;
use crate::requests::webhook::image::edit::enqueue_flux_pro_kontext_max_edit_webhook::{enqueue_flux_pro_kontext_max_edit_webhook, FluxProKontextMaxArgs, FluxProKontextMaxNumImages};
use errors::AnyhowResult;
use std::fs::read_to_string;
use test_data::web::image_urls::TALL_MOCHI_WITH_GLASSES_IMAGE_URL;
#[tokio::test]
#[ignore]
async fn test() -> AnyhowResult<()> {
// XXX: Don't commit secrets!
let secret = read_to_string("/Users/bt/Artcraft/credentials/fal_api_key.txt")?;
let api_key = FalApiKey::from_str(&secret);
let args = FluxProKontextMaxArgs {
image_url: TALL_MOCHI_WITH_GLASSES_IMAGE_URL,
prompt: "turn the glasses into sunglasses, make them sleek sunglasses with black rims, square shaped",
api_key: &api_key,
webhook_url: "https://example.com/webhook",
num_images: FluxProKontextMaxNumImages::One,
};
let result = enqueue_flux_pro_kontext_max_edit_webhook(args).await?;
Ok(())
}
}
@@ -1 +0,0 @@
pub mod enqueue_flux_pro_kontext_max_edit_webhook;
@@ -1,123 +0,0 @@
use crate::creds::fal_api_key::FalApiKey;
use crate::creds::open_ai_api_key::OpenAiApiKey;
use crate::error::classify_fal_error::classify_fal_error;
use crate::error::fal_error_plus::FalErrorPlus;
use fal::prelude::fal_ai::gpt_image_1::edit_image::byok::{gpt_text_to_image, GptTextToImageRequest};
use fal::webhook::WebhookResponse;
use reqwest::IntoUrl;
pub struct GptTextToImageByokArgs<'a, V: IntoUrl> {
// Request
pub prompt: &'a str,
pub image_size: GptTextToImageSize,
pub num_images: GptTextToImageNumImages,
pub quality: GptTextToImageQuality,
// Fulfillment
pub api_key: &'a FalApiKey,
pub openai_api_key: &'a OpenAiApiKey,
pub webhook_url: V,
}
#[derive(Copy, Clone, Debug)]
pub enum GptTextToImageSize{
Auto,
Square,
Horizontal,
Vertical,
}
#[derive(Copy, Clone, Debug)]
pub enum GptTextToImageQuality {
Auto,
Low,
Medium,
High,
}
#[derive(Copy, Clone, Debug)]
pub enum GptTextToImageNumImages{
One,
Two,
Three,
Four,
}
pub async fn enqueue_gpt_image_1_text_to_image_webhook<V: IntoUrl>(
args: GptTextToImageByokArgs<'_, V>
) -> Result<WebhookResponse, FalErrorPlus> {
// auto, 1024x1024, 1536x1024, 1024x1536
let image_size = match args.image_size {
GptTextToImageSize::Auto => "auto",
GptTextToImageSize::Square => "1024x1024",
GptTextToImageSize::Horizontal => "1536x1024",
GptTextToImageSize::Vertical => "1024x1536",
};
let quality = match args.quality {
GptTextToImageQuality::Auto => "auto",
GptTextToImageQuality::Low => "low",
GptTextToImageQuality::Medium => "medium",
GptTextToImageQuality::High => "high",
};
let num_images = match args.num_images {
GptTextToImageNumImages::One => 1,
GptTextToImageNumImages::Two => 2,
GptTextToImageNumImages::Three => 3,
GptTextToImageNumImages::Four => 4,
};
let request = GptTextToImageRequest {
prompt: args.prompt.to_string(),
image_size: image_size.to_string(),
num_images,
quality: quality.to_string(),
openai_api_key: args.openai_api_key.0.to_string(),
};
let result = gpt_text_to_image(request)
.with_api_key(&args.api_key.0)
.queue_webhook(args.webhook_url)
.await;
result.map_err(|err| classify_fal_error(err))
}
#[cfg(test)]
mod tests {
use crate::creds::fal_api_key::FalApiKey;
use crate::creds::open_ai_api_key::OpenAiApiKey;
use crate::requests::webhook::image::enqueue_gpt_image_1_text_to_image_webhook::{enqueue_gpt_image_1_text_to_image_webhook, GptTextToImageByokArgs, GptTextToImageNumImages, GptTextToImageQuality, GptTextToImageSize};
use errors::AnyhowResult;
use std::fs::read_to_string;
#[tokio::test]
#[ignore]
async fn test_gpt_image_1_edit_image() -> AnyhowResult<()> {
// XXX: Don't commit secrets!
let secret = read_to_string("/Users/bt/Artcraft/credentials/fal_api_key.txt")?;
let fal_api_key = FalApiKey::from_str(&secret);
let secret = read_to_string("/Users/bt/Artcraft/credentials/openai_api_key.txt")?;
let open_ai_api_key = OpenAiApiKey::from_str(&secret);
let args = GptTextToImageByokArgs {
prompt: "put the man and the ghost on the grassy hill. the man is scared of the friendly ghost.",
api_key: &fal_api_key,
openai_api_key: &open_ai_api_key,
webhook_url: "https://example.com/webhook",
image_size: GptTextToImageSize::Horizontal,
num_images: GptTextToImageNumImages::One,
quality: GptTextToImageQuality::High,
};
let result = enqueue_gpt_image_1_text_to_image_webhook(args).await?;
Ok(())
}
}
@@ -1,96 +0,0 @@
use crate::creds::fal_api_key::FalApiKey;
use crate::error::classify_fal_error::classify_fal_error;
use crate::error::fal_error_plus::FalErrorPlus;
use fal::prelude::rundiffusion_fal::juggernaut_flux_lora::inpainting::{inpainting, InpaintInput};
use fal::webhook::WebhookResponse;
use reqwest::IntoUrl;
pub struct FluxDevJuggernautInfillArgs<'a, U: IntoUrl, R: IntoUrl, L: IntoUrl> {
// Request
pub prompt: &'a str,
pub image_url: U,
pub mask_url: R,
pub num_images: FluxDevJuggernautInfillNumImages,
// Fulfillment
pub webhook_url: L,
pub api_key: &'a FalApiKey,
}
#[derive(Copy, Clone, Debug)]
pub enum FluxDevJuggernautInfillNumImages {
One, // Default
Two,
Three,
Four,
}
pub async fn enqueue_flux_dev_juggernaut_infill_webhook<U: IntoUrl, R: IntoUrl, L: IntoUrl>(
args: FluxDevJuggernautInfillArgs<'_, U, R, L>
) -> Result<WebhookResponse, FalErrorPlus> {
let num_images = match args.num_images {
FluxDevJuggernautInfillNumImages::One => 1,
FluxDevJuggernautInfillNumImages::Two => 2,
FluxDevJuggernautInfillNumImages::Three => 3,
FluxDevJuggernautInfillNumImages::Four => 4,
};
let request = InpaintInput {
prompt: args.prompt.to_string(),
image_url: args.image_url.as_str().to_string(),
mask_url: args.mask_url.as_str().to_string(),
num_images: Some(num_images),
// Maybe expose
output_format: Some("png".to_string()), // png or jpeg
seed: None,
strength: None,
loras: None,
num_inference_steps: None,
image_size: None,
enable_safety_checker: None,
guidance_scale: None,
// Constants
sync_mode: None, // Synchronous / slow
};
let result = inpainting(request)
.with_api_key(&args.api_key.0)
.queue_webhook(args.webhook_url)
.await;
result.map_err(|err| classify_fal_error(err))
}
#[cfg(test)]
mod tests {
use crate::creds::fal_api_key::FalApiKey;
use crate::requests::webhook::image::infill::enqueue_flux_dev_juggernaut_infill_webhook::{enqueue_flux_dev_juggernaut_infill_webhook, FluxDevJuggernautInfillArgs, FluxDevJuggernautInfillNumImages};
use errors::AnyhowResult;
use std::fs::read_to_string;
use test_data::web::image_urls::{TALL_MOCHI_WITH_GLASSES_GLASSES_MASK_IMAGE_URL, TALL_MOCHI_WITH_GLASSES_IMAGE_URL};
#[tokio::test]
#[ignore]
async fn test() -> AnyhowResult<()> {
// XXX: Don't commit secrets!
let secret = read_to_string("/Users/bt/Artcraft/credentials/fal_api_key.txt")?;
let api_key = FalApiKey::from_str(&secret);
let args = FluxDevJuggernautInfillArgs {
image_url: TALL_MOCHI_WITH_GLASSES_IMAGE_URL,
mask_url: TALL_MOCHI_WITH_GLASSES_GLASSES_MASK_IMAGE_URL,
prompt: "slick sunglasses, cool glasses, reflection in glasses lenses",
api_key: &api_key,
webhook_url: "https://example.com/webhook",
num_images: FluxDevJuggernautInfillNumImages::Two,
};
let result = enqueue_flux_dev_juggernaut_infill_webhook(args).await?;
Ok(())
}
}
@@ -1,92 +0,0 @@
use crate::creds::fal_api_key::FalApiKey;
use crate::error::classify_fal_error::classify_fal_error;
use crate::error::fal_error_plus::FalErrorPlus;
use fal::prelude::fal_ai::flux_pro::v1::fill::fill;
use fal::prelude::fal_ai::flux_pro::v1::fill::FluxProFillInput;
use fal::webhook::WebhookResponse;
use reqwest::IntoUrl;
pub struct FluxPro1InfillArgs<'a, U: IntoUrl, R: IntoUrl, L: IntoUrl> {
// Request
pub prompt: &'a str,
pub image_url: U,
pub mask_url: R,
pub num_images: FluxPro1InfillNumImages,
// Fulfillment
pub webhook_url: L,
pub api_key: &'a FalApiKey,
}
#[derive(Copy, Clone, Debug)]
pub enum FluxPro1InfillNumImages {
One, // Default
Two,
Three,
Four,
}
pub async fn enqueue_flux_pro_1_infill_webhook<U: IntoUrl, R: IntoUrl, L: IntoUrl>(
args: FluxPro1InfillArgs<'_, U, R, L>
) -> Result<WebhookResponse, FalErrorPlus> {
let num_images = match args.num_images {
FluxPro1InfillNumImages::One => 1,
FluxPro1InfillNumImages::Two => 2,
FluxPro1InfillNumImages::Three => 3,
FluxPro1InfillNumImages::Four => 4,
};
let request = FluxProFillInput {
prompt: args.prompt.to_string(),
image_url: args.image_url.as_str().to_string(),
mask_url: args.mask_url.as_str().to_string(),
num_images: Some(num_images),
// Maybe expose
safety_tolerance: Some("5".to_string()), // NB: 5 is most tolerant
output_format: Some("png".to_string()), // png or jpeg
seed: None,
// Constants
sync_mode: None, // Synchronous / slow
};
let result = fill(request)
.with_api_key(&args.api_key.0)
.queue_webhook(args.webhook_url)
.await;
result.map_err(|err| classify_fal_error(err))
}
#[cfg(test)]
mod tests {
use crate::creds::fal_api_key::FalApiKey;
use crate::requests::webhook::image::infill::enqueue_flux_pro_1_infill_webhook::{enqueue_flux_pro_1_infill_webhook, FluxPro1InfillArgs, FluxPro1InfillNumImages};
use errors::AnyhowResult;
use std::fs::read_to_string;
use test_data::web::image_urls::{TALL_MOCHI_WITH_GLASSES_GLASSES_MASK_IMAGE_URL, TALL_MOCHI_WITH_GLASSES_IMAGE_URL};
#[tokio::test]
#[ignore]
async fn test() -> AnyhowResult<()> {
// XXX: Don't commit secrets!
let secret = read_to_string("/Users/bt/Artcraft/credentials/fal_api_key.txt")?;
let api_key = FalApiKey::from_str(&secret);
let args = FluxPro1InfillArgs {
image_url: TALL_MOCHI_WITH_GLASSES_IMAGE_URL,
mask_url: TALL_MOCHI_WITH_GLASSES_GLASSES_MASK_IMAGE_URL,
prompt: "slick sunglasses, cool glasses, reflection in glasses lenses",
api_key: &api_key,
webhook_url: "https://example.com/webhook",
num_images: FluxPro1InfillNumImages::One,
};
let result = enqueue_flux_pro_1_infill_webhook(args).await?;
Ok(())
}
}
@@ -1,2 +0,0 @@
pub mod enqueue_flux_dev_juggernaut_infill_webhook;
pub mod enqueue_flux_pro_1_infill_webhook;
@@ -1,9 +1,6 @@
pub mod edit;
pub mod enqueue_flux_1_dev_text_to_image_webhook;
pub mod enqueue_flux_1_schnell_text_to_image_webhook;
pub mod enqueue_flux_pro_11_text_to_image_webhook;
pub mod enqueue_flux_pro_11_ultra_text_to_image_webhook;
pub mod enqueue_gpt_image_1_edit_image_webhook;
pub mod enqueue_gpt_image_1_text_to_image_webhook;
pub mod infill;
pub mod remove_background_rembg_webhook;
@@ -1,55 +0,0 @@
[package]
name = "midjourney_client"
edition = "2024"
version = "0.0.1"
publish = false
[package.metadata.cargo-udeps.ignore]
normal = ["workspace-build-acceleration"]
[lib]
name = "midjourney_client"
path = "src/lib.rs"
[dependencies]
# Workspace hack (faster compile times)
workspace-build-acceleration.workspace = true
# Internal
cloudflare_errors.workspace = true
cookie_store.workspace = true
errors.workspace = true
# External
anyhow.workspace = true
futures.workspace = true
log.workspace = true
#reqwest-websocket.workspace = true
#reqwest.workspace = true
#reqwest-impersonate = { version = "0", features = ["websocket"] }
serde.workspace = true
serde_json.workspace = true
#tokio.workspace = true
url.workspace = true
# NB: wreq gets past fingerprinting, but we have to deal with platform-specific build issues.
#
# Mac:
# brew install --formula cmake pkg-config llvm
# Windows:
# choco install cmake -y
# choco install strawberryperl -y
# choco install pkgconfiglite -y
# choco install llvm -y
# choco install nasm -y
wreq = { version = "5", features = ["json"] }
wreq-util = "2"
tokio = { version = "1", features = ["full"] }
# NB: We need to parse HTML to get out the websocket token
dom_query = "0.20.2"
[dev-dependencies]
filesys.workspace = true
test_data.workspace = true
testing.workspace = true
@@ -1,17 +0,0 @@
/// Multiple third party Midjourney clients make this configurable.
/// Not sure why, I'm just cargo culting it.
#[derive(Clone)]
pub enum MidjourneyHostname {
Standard,
Custom(String),
}
impl MidjourneyHostname {
pub fn as_str(&self) -> &str {
match self {
Self::Standard => "www.midjourney.com",
Self::Custom(domain) => domain,
}
}
}
@@ -1,2 +0,0 @@
pub mod midjourney_hostname;
pub mod midjourney_websocket_client;
@@ -1,6 +0,0 @@
/// One of the apparent authentication cookies used by Midjourney.
pub (crate) const AUTH_COOKIE_NAME_R : &str = "__Host-Midjourney.AuthUserTokenV3_r";
/// One of the apparent authentication cookies used by Midjourney.
pub (crate) const AUTH_COOKIE_NAME_I : &str = "__Host-Midjourney.AuthUserTokenV3_i";
@@ -1,8 +0,0 @@
use crate::credentials::cookie_names::{AUTH_COOKIE_NAME_I, AUTH_COOKIE_NAME_R};
use cookie_store::cookie_store::CookieStore;
/// Returns true if the given cookie store has the necessary authentication cookies.
pub fn cookie_store_has_auth_cookies(cookie_store: &CookieStore) -> bool {
cookie_store.has_cookie(AUTH_COOKIE_NAME_I)
&& cookie_store.has_cookie(AUTH_COOKIE_NAME_R)
}
@@ -1,31 +0,0 @@
/*
{
"name": "u3869671173",
"picture": "https://lh3.googleusercontent.com/a/ACg8ocKw0aaXKYSqy-Xkkn69ydIJFGnJA37S13XvjNY4d9xCzUzKUw=s96-c",
"midjourney_id": "f8a57ac3-e416-4dd4-9be8-2c4223691b01",
"iss": "https://securetoken.google.com/authjourney",
"aud": "authjourney",
"auth_time": 1754970849,
"user_id": "bS9idl73DlSbE61KnCyKpDfazCX2",
"sub": "bS9idl73DlSbE61KnCyKpDfazCX2",
"iat": 1754970849,
"exp": 1754974449,
"email": "victorvoice89@gmail.com",
"email_verified": true,
"firebase": {
"identities": {
"google.com": [
"116459300198619888836"
],
"email": [
"victorvoice89@gmail.com"
]
},
"sign_in_provider": "google.com"
}
}
*/
/*
*/
@@ -1,22 +0,0 @@
/// The user ID used for several midjourney requests.
#[derive(Clone, Debug, Eq, PartialEq, Hash)]
pub struct MidjourneyUserId(pub String);
impl MidjourneyUserId {
pub fn from_str(user_id: &str) -> Self {
Self(user_id.to_string())
}
pub fn from_string(user_id: String) -> Self {
Self(user_id)
}
pub fn as_str(&self) -> &str {
&self.0
}
pub fn to_string(&self) -> String {
self.0.to_string()
}
}
@@ -1,4 +0,0 @@
pub mod cookie_names;
pub mod cookie_store_has_auth_cookies;
pub mod jwt_decode;
pub mod midjourney_user_id;
@@ -1,95 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
use cloudflare_errors::filter_cloudflare_errors::filter_cloudflare_errors;
use log::error;
use serde::Deserialize;
use wreq::Client;
use wreq_util::Emulation;
/// This grabs the pre-rendered HTML page, which contains the websocket token and other details.
pub struct GetIndexPageRequest {
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
pub async fn get_index_page_html(req: GetIndexPageRequest) -> Result<String, MidjourneyError> {
let url = format!("https://{}/", req.hostname.as_str());
let client = Client::builder()
.emulation(Emulation::Firefox139)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let cookie_header = req.cookie_header.trim();
if cookie_header.len() < 20 {
error!("Cookie header is too short (len: {}): {}", cookie_header.len(), cookie_header);
return Err(MidjourneyClientError::CookieTooShort.into());
}
// NB: missing headers that were in the browser request:
// -H 'sec-ch-ua-platform: "macOS"' \
// -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
let mut http_request = client.get(url)
.header("cookie", cookie_header)
.header("Referrer-Policy", "origin-when-cross-origin")
.header("accept", "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7")
.header("accept-language", "en-US,en;q=0.8")
.header("content-type", "application/json")
.header("priority", "u=0, i")
.header("sec-ch-ua-mobile", "?0")
.header("sec-fetch-dest", "document")
.header("sec-fetch-mode", "navigate")
.header("sec-fetch-site", "none")
.header("sec-fetch-user", "?1")
.header("upgrade-insecure-requests", "1");
let http_request = http_request
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let response = client.execute(http_request)
.await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
let status = response.status();
let response_body = response.text().await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
if !status.is_success() {
if let Err(err) = filter_cloudflare_errors(status.as_u16(), &response_body) {
return Err(MidjourneyApiError::CloudflareError(err).into());
}
}
Ok(response_body)
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
use crate::endpoints::get_index_page_html::{get_index_page_html, GetIndexPageRequest};
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let result = get_index_page_html(GetIndexPageRequest {
cookie_header,
hostname: MidjourneyHostname::Standard,
}).await?;
println!("Response: {:?}\n\n", result);
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,251 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::credentials::midjourney_user_id::MidjourneyUserId;
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
use cloudflare_errors::filter_cloudflare_errors::filter_cloudflare_errors;
use log::error;
use serde::Deserialize;
use wreq::Client;
use wreq_util::Emulation;
const DEFAULT_PAGE_SIZE : u64 = 1000;
/// This returns Midjourney's job/media list
pub struct ImagineRequest<'a> {
pub hostname: MidjourneyHostname,
pub cookie_header: String,
pub user_id: &'a MidjourneyUserId,
pub page_size: Option<u64>,
}
#[derive(Debug, Clone)]
pub struct ImagineResponse {
pub items: Vec<ImagineItem>,
pub cursor: Option<String>,
}
#[derive(Debug, Clone)]
pub struct ImagineItem {
pub id: Option<String>,
/// This is the prompt, e.g.
/// `cute puppy wearing a polar bear suit --ar 4:3 --raw --v 7.0`
pub full_command: Option<String>,
pub job_type: Option<MidjourneyJobType>,
}
#[derive(Debug, Clone)]
pub enum MidjourneyJobType {
V6Diffusion,
V6p1Diffusion,
V6p1RawDiffusion,
V7Diffusion,
V7DraftDiffusion,
V7DraftRawDiffusion,
V7RawDiffusion,
Vid11I2vRenderAJointVideo,
Vid11I2vRenderBJointVideo,
Vid11I2vStartEndAVideo,
Vid11I2vStartEndBVideo,
Other(String),
}
impl MidjourneyJobType {
pub fn from_str(s: &str) -> MidjourneyJobType {
match s {
"v6_diffusion" => MidjourneyJobType::V6Diffusion,
"v6-1_diffusion" => MidjourneyJobType::V6p1Diffusion,
"v6-1_raw_diffusion" => MidjourneyJobType::V6p1RawDiffusion,
"v7_diffusion" => MidjourneyJobType::V7Diffusion,
"v7_draft_diffusion" => MidjourneyJobType::V7DraftDiffusion,
"v7_draft_raw_diffusion" => MidjourneyJobType::V7DraftRawDiffusion,
"v7_raw_diffusion" => MidjourneyJobType::V7RawDiffusion,
"vid_1.1_i2v_render_a_joint_video" => MidjourneyJobType::Vid11I2vRenderAJointVideo,
"vid_1.1_i2v_render_b_joint_video" => MidjourneyJobType::Vid11I2vRenderBJointVideo,
"vid_1.1_i2v_start_end_a_video" => MidjourneyJobType::Vid11I2vStartEndAVideo,
"vid_1.1_i2v_start_end_b_video" => MidjourneyJobType::Vid11I2vStartEndBVideo,
other => MidjourneyJobType::Other(other.to_string()),
}
}
}
pub async fn imagine(req: ImagineRequest<'_>) -> Result<ImagineResponse, MidjourneyError> {
let cookie_header = req.cookie_header.trim();
if cookie_header.len() < 20 {
error!("Cookie header is too short (len: {}): {}", cookie_header.len(), cookie_header);
return Err(MidjourneyClientError::CookieTooShort.into());
}
let page_size = req.page_size.unwrap_or(DEFAULT_PAGE_SIZE);
let referer = format!("https://{}/imagine", req.hostname.as_str());
let url = format!("https://{}/api/imagine?user_id={}&page_size={}",
req.hostname.as_str(),
req.user_id.as_str(),
page_size,
);
let client = Client::builder()
.emulation(Emulation::Firefox139)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
// NB: missing headers that were in the browser request:
// -H 'sec-ch-ua-platform: "macOS"' \
// -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
let mut http_request = client.get(url)
.header("cookie", cookie_header)
.header("Referer", &referer)
.header("Referrer-Policy", "origin-when-cross-origin")
.header("accept", "*/*")
.header("accept-encoding", "gzip, deflate, br, zstd")
.header("accept-language", "en-US,en;q=0.8")
.header("content-type", "application/json")
.header("priority", "u=1, i")
.header("sec-ch-ua-mobile", "?0")
.header("sec-fetch-dest", "empty")
.header("sec-fetch-mode", "cors")
.header("sec-fetch-site", "same-origin")
.header("x-csrf-protection", "1");
let http_request = http_request
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let response = client.execute(http_request)
.await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
let status = response.status();
let response_body = response.text().await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
if !status.is_success() {
if let Err(err) = filter_cloudflare_errors(status.as_u16(), &response_body) {
return Err(MidjourneyApiError::CloudflareError(err).into());
}
}
/*
{
"data": [
{
"id": "a2339f14-ff71-43e4-a69f-8da15e7ba871",
"enqueue_time": "2025-08-14T17:21:28.403560+00:00",
"parent_id": null,
"video_segments": null,
"rating": null,
"job_type": "v7_diffusion",
"event_type": "diffusion",
"parent_grid": null,
"full_command": "a modern n64 console",
"batch_size": 4,
"width": 1024,
"height": 1024,
"published": true,
"shown": true,
"user_hidden": false,
"template": null,
"vid_framecount": null
},
],
"cursor": "encrypted cursor",
"checkpoint": "encrypted something ???"
}
*/
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawImagineResponse {
data: Vec<RawImagineItem>,
cursor: Option<String>,
//pub checkpoint: Option<String>,
}
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawImagineItem {
// The job id
id: Option<String>,
// The prompt plus `--` args.
full_command: Option<String>,
// Number of images, typically 4
batch_size: Option<u8>,
// Some possible values:
// "v6_diffusion"
// "v7_diffusion"
// "v7_draft_raw_diffusion"
// "v7_raw_diffusion"
// "vid_1.1_i2v_render_b_joint_video",
// "vid_1.1_i2v_start_end_a_video"
// "vid_1.1_i2v_start_end_b_video"
job_type: Option<String>,
// Some possible values:
// "diffusion"
// "draft"
// "variation"
// "video_diffusion"
// "video_start_end"
event_type: Option<String>,
}
let response : RawImagineResponse = serde_json::from_str(&response_body)
.map_err(|err| MidjourneyApiError::DeserializationError(err))?;
Ok(ImagineResponse {
cursor: response.cursor.clone(),
items: response.data
.into_iter()
.map(|item| {
ImagineItem {
id: item.id,
full_command: item.full_command,
job_type: item.job_type.as_ref()
.map(|jt| MidjourneyJobType::from_str(jt))
}
}).collect(),
})
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::credentials::midjourney_user_id::MidjourneyUserId;
use crate::endpoints::imagine::{imagine, ImagineRequest};
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let user_id = read_to_trimmed_string("/Users/bt/secrets/midjourney/user_id.txt")?;
let user_id = MidjourneyUserId::from_string(user_id);
let result = imagine(ImagineRequest {
cookie_header,
hostname: MidjourneyHostname::Standard,
user_id: &user_id,
page_size: None,
}).await?;
println!("Response: {:?}\n\n", result);
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,5 +0,0 @@
pub mod get_index_page_html;
pub mod imagine;
pub mod storage_list;
pub mod submit_job;
pub mod user_connections;
@@ -1,147 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
use cloudflare_errors::filter_cloudflare_errors::filter_cloudflare_errors;
use log::error;
use serde::Deserialize;
use wreq::Client;
use wreq_util::Emulation;
/// This endpoint returns the user id
pub struct GetStorageListRequest {
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
#[derive(Debug)]
pub struct StorageItem {
// NB: The path contains the user ID.
pub bucket_pathname: Option<String>,
// NB: Other fields aren't necessary for us right now.
}
pub async fn storage_list(req: GetStorageListRequest) -> Result<Vec<StorageItem>, MidjourneyError> {
let referer = format!("https://{}", req.hostname.as_str());
let url = format!("https://{}/api/storage-list", req.hostname.as_str());
let client = Client::builder()
.emulation(Emulation::Firefox139)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let cookie_header = req.cookie_header.trim();
if cookie_header.len() < 20 {
error!("Cookie header is too short (len: {}): {}", cookie_header.len(), cookie_header);
return Err(MidjourneyClientError::CookieTooShort.into());
}
// NB: missing headers that were in the browser request:
// -H 'sec-ch-ua-platform: "macOS"' \
// -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
let mut http_request = client.get(url)
.header("cookie", cookie_header)
.header("Referer", &referer)
.header("Referrer-Policy", "origin-when-cross-origin")
.header("accept", "*/*")
.header("accept-language", "en-US,en;q=0.8")
.header("content-type", "application/json")
.header("priority", "u=1, i")
.header("sec-ch-ua-mobile", "?0")
.header("sec-fetch-dest", "empty")
.header("sec-fetch-mode", "cors")
.header("sec-fetch-site", "same-origin")
.header("x-csrf-protection", "1");
let http_request = http_request
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let response = client.execute(http_request)
.await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
let status = response.status();
// if status == 301 {
// for (name, value) in response.headers().iter() {
// println!("- {}: {}", name.as_str(), value.to_str().unwrap());
// }
// }
let response_body = &response.text().await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
if !status.is_success() {
if let Err(err) = filter_cloudflare_errors(status.as_u16(), &response_body) {
return Err(MidjourneyApiError::CloudflareError(err).into());
}
}
/*
[
{
"bucketPathname": "UUID/OTHER_HEX_ENTROPY.png",
"shortUrl": null,
"type": "image-prompt",
"origin": "web",
"timeCreated": TIMESTAMP,
"hidden": false,
"contentType": "image/png",
"state": "loaded"
}
]
*/
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawStorageItem {
bucketPathname: Option<String>,
}
let response : Vec<RawStorageItem> = serde_json::from_str(response_body)
.map_err(|err| MidjourneyApiError::DeserializationError(err))?;
let items = response
.into_iter()
.map(|r| StorageItem {
bucket_pathname: r.bucketPathname,
})
.collect::<Vec<_>>();
Ok(items)
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
use crate::endpoints::storage_list::{storage_list, GetStorageListRequest};
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let result = storage_list(GetStorageListRequest {
cookie_header,
hostname: MidjourneyHostname::Standard,
}).await?;
println!("Response: {:?}\n\n", result);
for provider in result {
println!("Provider: {:?}", provider);
}
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,230 +0,0 @@
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
use log::{error, warn};
use serde::{Deserialize, Serialize};
use crate::client::midjourney_hostname::MidjourneyHostname;
use cloudflare_errors::filter_cloudflare_errors::filter_cloudflare_errors;
use wreq::Client;
use wreq_util::Emulation;
pub struct SubmitJobRequest<'a> {
pub prompt: &'a str,
pub channel_id: &'a str,
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
#[derive(Debug, Clone)]
pub struct SubmitJobResponse {
/// On success, the job ID is returned.
pub maybe_job_id: Option<String>,
/// On error, we have a list of error messages.
pub maybe_errors: Option<Vec<SubmitJobError>>,
}
#[derive(Debug, Clone)]
pub struct SubmitJobError {
pub error_type: Option<String>,
pub message: Option<String>,
}
pub async fn submit_job(req: SubmitJobRequest<'_>) -> Result<SubmitJobResponse, MidjourneyError> {
let client = Client::builder()
.emulation(Emulation::Firefox139)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let referer = format!("https://{}", req.hostname.as_str());
// NB: Other recent clients use /api/app/submit-jobs, but this appears invalid.
let url = format!("https://{}/api/submit-jobs", req.hostname.as_str());
let cookie_header = req.cookie_header.trim();
if cookie_header.len() < 20 {
error!("Cookie header is too short (len: {}): {}", cookie_header.len(), cookie_header);
return Err(MidjourneyClientError::CookieTooShort.into());
}
let mut http_request = client.post(url)
.header("cookie", cookie_header)
.header("Referer", &referer)
.header("Referrer-Policy", "origin-when-cross-origin")
.header("accept", "*/*")
.header("accept-language", "en-US,en;q=0.8")
.header("content-type", "application/json")
.header("priority", "u=1, i")
.header("sec-ch-ua-mobile", "?0")
.header("sec-fetch-dest", "empty")
.header("sec-fetch-mode", "cors")
.header("sec-fetch-site", "same-origin")
.header("x-csrf-protection", "1");
#[derive(Serialize)]
struct F {
mode: String,
private: bool,
}
#[derive(Serialize)]
#[allow(non_snake_case)]
struct Metadata {
imagePrompts: u8,
imageReferences: u8,
characterReferences: u8,
depthReferences: u8,
lightboxOpen: String,
}
#[derive(Serialize)]
#[allow(non_snake_case)]
struct RawRequest {
f: F,
channelId: String,
metadata: Metadata,
t: String,
prompt: String,
}
let body = RawRequest {
f: F {
mode: "fast".to_string(),
private: false,
},
channelId: req.channel_id.to_string(),
metadata: Metadata {
imagePrompts: 0,
imageReferences: 0,
characterReferences: 0,
depthReferences: 0,
lightboxOpen: "".to_string(),
},
t: "imagine".to_string(),
prompt: req.prompt.to_string(),
};
let http_request = http_request
.json(&body)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let response = client.execute(http_request)
.await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
let status = response.status();
// if status == 301 {
// for (name, value) in response.headers().iter() {
// println!("- {}: {}", name.as_str(), value.to_str().unwrap());
// }
// }
let response_body = &response.text().await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
if !status.is_success() {
if let Err(err) = filter_cloudflare_errors(status.as_u16(), &response_body) {
return Err(MidjourneyApiError::CloudflareError(err).into());
}
}
/*
{"success":[
{
"job_id":"UUID-like-string",
"prompt":"prompt",
"is_queued":false,
"event_type":"diffusion",
"flags":{
"mode":"fast","visibility":"public"
},
"meta":{
"height":1024,"width":1024,"batch_size":4,"parent_id":null,"parent_grid":null
},
"optimisticJobIndex":0,
"personalization_codes":null
}],
"failure":[]}
*/
#[derive(Deserialize)]
struct SuccessPayload {
job_id: String,
}
#[derive(Deserialize)]
struct FailurePayload {
r#type: String,
message: String,
}
#[derive(Deserialize)]
#[allow(non_snake_case)]
struct RawResponse {
success: Vec<SuccessPayload>,
failure: Option<Vec<FailurePayload>>,
}
let response = serde_json::from_str::<RawResponse>(response_body)
.map_err(|err| MidjourneyApiError::DeserializationError(err))?;
let maybe_job_id = response.success
.get(0)
.map(|s| s.job_id.clone());
if maybe_job_id.is_none() {
warn!("No job id found in body: {:?}", response_body);
}
let mut maybe_errors = None;
if let Some(failures) = response.failure.as_ref() {
if !failures.is_empty() {
maybe_errors = Some(failures.iter()
.map(|f| SubmitJobError {
error_type: Some(f.r#type.clone()),
message: Some(f.message.clone()),
}).collect());
}
}
Ok(SubmitJobResponse {
maybe_job_id,
maybe_errors,
})
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::endpoints::submit_job::{submit_job, SubmitJobRequest};
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
// Get channel id via:
// https://identitytoolkit.googleapis.com/v1/accounts:lookup?key=[TOKEN]
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let channel_id = read_to_trimmed_string("/Users/bt/secrets/midjourney/channel_id.txt")?;
let result = submit_job(SubmitJobRequest {
prompt: "a modern n64 console",
channel_id: &channel_id,
cookie_header,
hostname: MidjourneyHostname::Standard,
}).await?;
println!("Response: {:?}", result);
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,178 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
use cloudflare_errors::filter_cloudflare_errors::filter_cloudflare_errors;
use log::error;
use serde::Deserialize;
use wreq::Client;
use wreq_util::Emulation;
const USER_CONNECTIONS_URL :&str = "https://www.midjourney.com/api/user-connections";
pub struct GetUserConnectionsRequest {
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
#[derive(Debug)]
pub struct UserData {
pub provider_id: String,
pub display_name: Option<String>,
pub email: Option<String>,
pub user_id: Option<String>,
}
#[derive(Debug)]
pub struct Provider {
pub provider_id: String,
pub user_data: Option<UserData>,
pub is_linked: bool,
}
pub async fn user_connections(req: GetUserConnectionsRequest) -> Result<Vec<Provider>, MidjourneyError> {
let referer = format!("https://{}", req.hostname.as_str());
let url = format!("https://{}/api/user-connections", req.hostname.as_str());
let client = Client::builder()
.emulation(Emulation::Firefox139)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let cookie_header = req.cookie_header.trim();
if cookie_header.len() < 20 {
error!("Cookie header is too short (len: {}): {}", cookie_header.len(), cookie_header);
return Err(MidjourneyClientError::CookieTooShort.into());
}
// NB: missing headers that were in the browser request:
// -H 'sec-ch-ua-platform: "macOS"' \
// -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
let mut http_request = client.get(url)
.header("cookie", cookie_header)
.header("Referer", &referer)
.header("Referrer-Policy", "origin-when-cross-origin")
.header("accept", "*/*")
.header("accept-language", "en-US,en;q=0.8")
.header("content-type", "application/json")
.header("priority", "u=1, i")
.header("sec-ch-ua-mobile", "?0")
.header("sec-fetch-dest", "empty")
.header("sec-fetch-mode", "cors")
.header("sec-fetch-site", "same-origin")
.header("x-csrf-protection", "1");
let http_request = http_request
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let response = client.execute(http_request)
.await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
let status = response.status();
// if status == 301 {
// for (name, value) in response.headers().iter() {
// println!("- {}: {}", name.as_str(), value.to_str().unwrap());
// }
// }
let response_body = &response.text().await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
if !status.is_success() {
if let Err(err) = filter_cloudflare_errors(status.as_u16(), &response_body) {
return Err(MidjourneyApiError::CloudflareError(err).into());
}
}
/*
[
{
"providerId": "google.com",
"userData": {
"providerId": "google.com",
"displayName": "John Doe",
"email": "john.doe@gmail.com",
"userId": "123456789000000001",
},
"isLinked": true
},
{
"providerId": "discord.com",
"isLinked": false
}
]
*/
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawProviderUserData {
providerId: String,
displayName: Option<String>,
email: Option<String>,
userId: Option<String>,
}
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawProvider {
providerId: String,
userData: Option<RawProviderUserData>,
isLinked: bool,
}
let response : Vec<RawProvider> = serde_json::from_str(response_body)
.map_err(|err| MidjourneyApiError::DeserializationError(err))?;
let providers = response
.into_iter()
.map(|r| Provider {
provider_id: r.providerId,
user_data: r.userData.map(|u| UserData {
provider_id: u.providerId,
display_name: u.displayName,
email: u.email,
user_id: u.userId,
}),
is_linked: r.isLinked,
})
.collect::<Vec<_>>();
Ok(providers)
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::endpoints::user_connections::{user_connections, GetUserConnectionsRequest};
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let result = user_connections(GetUserConnectionsRequest {
cookie_header,
hostname: MidjourneyHostname::Standard,
}).await?;
println!("Response: {:?}\n\n", result);
for provider in result {
println!("Provider: {:?}", provider);
}
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,117 +0,0 @@
use cloudflare_errors::cloudflare_error::CloudflareError;
use errors::AnyhowError;
use std::error::Error;
use std::fmt::{Display, Formatter};
use std::io;
#[derive(Debug)]
pub enum MidjourneyApiError {
/// There was no user ID in an otherwise valid-looking response.
NoUserId,
/// No user props in index HTML payload.
/// We need this for the user ID and the websocket token.
NoUserProps,
/// No initialAuthUser in the index HTML payload.
/// We need this for the user ID and the websocket token.
NoInitialAuthUser,
/// 400. The request was invalid.
InvalidRequest(String),
/// 401. The request was not authorized.
Unauthorized(String),
/// 403. The request was forbidden.
Forbidden(String),
/// 404. The requested resource was not found.
NotFound(String),
/// 429. Too many requests.
TooManyRequests(String),
/// 500. An internal server error occurred.
InternalServerError {
body: String,
backend_hostname: Option<String>,
},
/// Eg. when downloading images
UnknownHttpFailure {
status_code: u16,
body: String,
},
/// Cloudflare errors.
CloudflareError(CloudflareError),
/// A deserialization error with the response.
DeserializationError(serde_json::Error),
/// The request timed out.
Timeout(String),
/// A network error occurred.
NetworkError(String),
/// An error doing file I/O (on our side)
IoError(io::Error),
/// Another type of error.
Other(AnyhowError),
}
impl Error for MidjourneyApiError {}
impl Display for MidjourneyApiError {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
match self {
// Response body errors
Self::NoUserId => write!(f, "No user ID found in the response body."),
Self::NoUserProps => write!(f, "No user properties found in the index HTML payload."),
Self::NoInitialAuthUser => write!(f, "No initialAuthUser in the index HTML payload."),
// Server response code errors
Self::InvalidRequest(msg) => write!(f, "Invalid request: {}", msg),
Self::Unauthorized(msg) => write!(f, "Unauthorized: {}", msg),
Self::Forbidden(msg) => write!(f, "Forbidden: {}", msg),
Self::NotFound(msg) => write!(f, "Not found: {}", msg),
Self::TooManyRequests(msg) => write!(f, "Too many requests: {}", msg),
Self::InternalServerError {body, backend_hostname} =>
write!(f, "Internal Server Error; backend hostname: {:?} ; body: {}; ", backend_hostname, body),
Self::UnknownHttpFailure {status_code, body} =>
write!(f, "Unknown HTTP failure; status code: {}; body: {}", status_code, body),
// Deserialization errors
// Server response handling errors
Self::DeserializationError(error) => write!(f, "Deserialization error: {}", error),
// Network errors
Self::Timeout(msg) => write!(f, "Timeout: {}", msg),
Self::NetworkError(msg) => write!(f, "Network error: {}", msg),
// Cloudflare errors
Self::CloudflareError(error) => write!(f, "Cloudflare Error: {}", error),
// I/O errors
Self::IoError(error) => write!(f, "IO error: {}", error),
// Other
Self::Other(error) => write!(f, "Other error: {}", error),
}
}
}
impl From<serde_json::Error> for MidjourneyApiError {
fn from(error: serde_json::Error) -> Self {
Self::DeserializationError(error)
}
}
impl From<io::Error> for MidjourneyApiError {
fn from(error: io::Error) -> Self {
Self::IoError(error)
}
}
impl From<CloudflareError> for MidjourneyApiError {
fn from(error: CloudflareError) -> Self {
Self::CloudflareError(error)
}
}
@@ -1,71 +0,0 @@
use std::error::Error;
use std::fmt::{Display, Formatter};
use std::io;
use std::path::PathBuf;
/// An error arising from the client, either before or after the request is sent.
#[derive(Debug)]
pub enum MidjourneyClientError {
/// The cookie was too short to be valid.
CookieTooShort,
/// Tried to look up an image out of range [0,4)
InvalidImageIndex,
/// Could not determine the filetype for the file.
FileTypeNotKnown(PathBuf),
/// Could not handle the file type.
FileTypeNotHandled(PathBuf),
/// An error doing file I/O (on our side)
IoError(io::Error),
// /// An error setting up the client
// ReqwestError(reqwest::Error),
WreqError(wreq::Error),
/// A serialization error with the request.
SerializationError(serde_json::Error),
}
impl Error for MidjourneyClientError {}
impl Display for MidjourneyClientError {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
match self {
Self::CookieTooShort => write!(f, "The cookie header is too short to be valid."),
Self::InvalidImageIndex => write!(f, "The image index is out of range. Valid range is [0, 4)."),
Self::FileTypeNotKnown(path) => write!(f, "Could not determine the filetype for the file: {:?}", path),
Self::FileTypeNotHandled(path) => write!(f, "Could not handle the file type for the file: {:?}", path),
Self::IoError(err) => write!(f, "IO error: {}", err),
//Self::ReqwestError(err) => write!(f, "Reqwest client error: {}", err),
Self::WreqError(err) => write!(f, "Wreq client error: {}", err),
Self::SerializationError(err) => write!(f, "Request serialization error: {}", err),
}
}
}
impl From<io::Error> for MidjourneyClientError {
fn from(error: io::Error) -> Self {
Self::IoError(error)
}
}
impl From<serde_json::Error> for MidjourneyClientError {
fn from(error: serde_json::Error) -> Self {
Self::SerializationError(error)
}
}
/*impl From<reqwest::Error> for MidjourneyClientError {
fn from(error: reqwest::Error) -> Self {
Self::ReqwestError(error)
}
}*/
impl From<wreq::Error> for MidjourneyClientError {
fn from(error: wreq::Error) -> Self {
Self::WreqError(error)
}
}
@@ -1,32 +0,0 @@
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use std::error::Error;
#[derive(Debug)]
pub enum MidjourneyError {
Api(MidjourneyApiError),
Client(MidjourneyClientError),
}
impl Error for MidjourneyError {}
impl std::fmt::Display for MidjourneyError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
Self::Api(e) => write!(f, "Midjourney API error: {:?}", e),
Self::Client(e) => write!(f, "Midjourney Client error: {:?}", e),
}
}
}
impl From<MidjourneyApiError> for MidjourneyError {
fn from(error: MidjourneyApiError) -> Self {
Self::Api(error)
}
}
impl From<MidjourneyClientError> for MidjourneyError {
fn from(error: MidjourneyClientError) -> Self {
Self::Client(error)
}
}
@@ -1,3 +0,0 @@
pub mod midjourney_error;
pub mod midjourney_api_error;
pub mod midjourney_client_error;
@@ -1,8 +0,0 @@
//! A midjourney API client.
pub mod client;
pub mod credentials;
pub mod endpoints;
pub mod error;
pub mod recipes;
pub mod utils;
@@ -1,20 +0,0 @@
use crate::credentials::midjourney_user_id::MidjourneyUserId;
#[derive(Debug, Clone)]
pub enum ChannelId {
/// Channel based on the user ID.
/// This is what Midjourney uses by default.
UserId(MidjourneyUserId),
// Bare string ID
Raw(String),
}
impl ChannelId {
pub fn to_string(&self) -> String {
match self {
Self::UserId(user_id) => format!("singleplayer_{}", user_id.0),
Self::Raw(id) => id.clone(),
}
}
}
@@ -1,52 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::credentials::midjourney_user_id::MidjourneyUserId;
use crate::endpoints::storage_list::{storage_list, GetStorageListRequest};
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_error::MidjourneyError;
pub struct GetMidjourneyUserIdRequest {
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
pub async fn get_midjourney_user_id_from_storage(req: GetMidjourneyUserIdRequest) -> Result<MidjourneyUserId, MidjourneyError> {
let items = storage_list(GetStorageListRequest {
hostname: req.hostname,
cookie_header: req.cookie_header,
}).await?;
let user_id = items
.into_iter()
.find_map(|item| item.bucket_pathname)
.and_then(|path| path.split('/').next().map(|id| id.to_owned()))
.map(|id| MidjourneyUserId(id.to_string()))
.ok_or(MidjourneyApiError::NoUserId)?;
Ok(user_id)
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::recipes::get_midjourney_user_id_from_storage::{get_midjourney_user_id_from_storage, GetMidjourneyUserIdRequest};
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let result = get_midjourney_user_id_from_storage(GetMidjourneyUserIdRequest {
cookie_header,
hostname: MidjourneyHostname::Standard,
}).await?;
println!("Response: {:?}\n\n", result);
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,153 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::credentials::midjourney_user_id::MidjourneyUserId;
use crate::endpoints::get_index_page_html::{get_index_page_html, GetIndexPageRequest};
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_error::MidjourneyError;
use dom_query::Document;
use serde::Deserialize;
pub struct GetUserInfoRequest {
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
#[derive(Debug, Clone)]
pub struct GetUserInfoResponse {
pub user_id: Option<MidjourneyUserId>,
pub email: Option<String>,
pub websocket_token: Option<String>,
}
pub async fn get_user_info(req: GetUserInfoRequest) -> Result<GetUserInfoResponse, MidjourneyError> {
let index_html = get_index_page_html(GetIndexPageRequest {
hostname: req.hostname,
cookie_header: req.cookie_header,
}).await?;
/*
<script id="initialProps" type="application/json">
{
"initialAuthUser": {
"idpID": "ENTROPY",
"id": "UUID",
"displayName": "uNUMBER",
"email": "USER@gmail.com",
"emailVerified": true,
"photoURL": "https://lh3.googleusercontent.com/a/ENTROPY",
"abilities": {
"admin": false,
"developer": false,
"accepted_tos": true,
"moderator": false,
"guide": false,
"vip": false,
"employee": false,
"content_moderator": false,
"gdpr_preferences_set": false,
"gdpr_allow_advertising": false,
"gdpr_allow_analytics": false,
"editor_whitelist": false,
"allow_nsfw": false,
"cooldowns_removed": false,
"blocked": false,
"community": false,
"billing": false,
"system_verified": false,
"simplified_flow": false,
"total_jobs": 57,
"is_sub_at_least_one_year_old": false,
"can_private": false,
"can_relax": false,
"has_discord": false,
"delete_at": null,
"subscription": {
"type": "subscription",
"plan_type": "basic",
"recurring": "month"
},
"relax_video_job_concurrency": 0
},
"websocketToken": "WEBSOCKET_TOKEN_ENTROPY",
"providers": [
"google.com"
],
"system": "firebase",
"streamToken": "STREAM_TOKEN_ENTROPY"
},
"urlFromInitialServerRequest": "/"
}
</script>
*/
let document = Document::from(index_html);
let maybe_nodes = document.select("script[id=initialProps]");
let node = match maybe_nodes.get(0) {
Some(node) => node,
None => {
return Err(MidjourneyApiError::NoUserProps.into());
}
};
let inner_json = node.inner_html().to_string();
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawAuthUser {
// NB: The Midjourney user id.
id: Option<String>,
email: Option<String>,
websocketToken: Option<String>,
}
#[derive(Deserialize, Debug)]
#[allow(non_snake_case)]
struct RawBody {
initialAuthUser: Option<RawAuthUser>,
}
let response : RawBody = serde_json::from_str(&inner_json)
.map_err(|err| MidjourneyApiError::DeserializationError(err))?;
let props = match response.initialAuthUser {
Some(props) => props,
None => {
return Err(MidjourneyApiError::NoInitialAuthUser.into());
}
};
Ok(GetUserInfoResponse {
user_id: props.id
.map(|id| MidjourneyUserId::from_string(id)),
email: props.email
.map(|email| email.to_string()),
websocket_token: props.websocketToken
.map(|email| email.to_string()),
})
}
#[cfg(test)]
mod tests {
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::recipes::get_user_info::{get_user_info, GetUserInfoRequest};
use errors::AnyhowResult;
use filesys::read_to_trimmed_string::read_to_trimmed_string;
#[ignore]
#[tokio::test]
async fn test() -> AnyhowResult<()> {
let cookie_header = read_to_trimmed_string("/Users/bt/secrets/midjourney/cookie.txt")?;
let result = get_user_info(GetUserInfoRequest {
cookie_header,
hostname: MidjourneyHostname::Standard,
}).await?;
println!("Response: {:?}\n\n", result);
assert_eq!(1, 2);
Ok(())
}
}
@@ -1,4 +0,0 @@
mod get_midjourney_user_id_from_storage;
pub mod channel_id;
pub mod get_user_info;
pub mod text_to_image;
@@ -1,49 +0,0 @@
use crate::client::midjourney_hostname::MidjourneyHostname;
use crate::endpoints::submit_job::{submit_job, SubmitJobRequest};
use crate::error::midjourney_error::MidjourneyError;
use crate::recipes::channel_id::ChannelId;
pub struct TextToImageRequest<'a> {
pub prompt: &'a str,
pub channel_id: &'a ChannelId,
pub hostname: MidjourneyHostname,
pub cookie_header: String,
}
#[derive(Debug, Clone)]
pub struct TextToImageResponse {
/// On success, the job ID is returned.
pub maybe_job_id: Option<String>,
/// On error, we have a list of error messages.
pub maybe_errors: Option<Vec<TextToImageError>>,
}
#[derive(Debug, Clone)]
pub struct TextToImageError {
pub error_type: Option<String>,
pub message: Option<String>,
}
/// Slightly more ergonomic text-to-image API.
/// As we add more `submit_job()` cases, we'll keep this simple.
pub async fn text_to_image(req: TextToImageRequest<'_>) -> Result<TextToImageResponse, MidjourneyError> {
let channel_id = req.channel_id.to_string();
let response = submit_job(SubmitJobRequest {
prompt: req.prompt,
channel_id: &channel_id,
hostname: req.hostname,
cookie_header: req.cookie_header,
}).await?;
Ok(TextToImageResponse {
maybe_job_id: response.maybe_job_id,
maybe_errors: response.maybe_errors.map(|errs| {
errs.into_iter().map(|e| TextToImageError {
error_type: e.error_type,
message: e.message,
}).collect()
}),
})
}
@@ -1,9 +0,0 @@
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
pub fn get_image_url(job_id: &str, image_index: u8) -> Result<String, MidjourneyError> {
if image_index > 3 {
return Err(MidjourneyClientError::InvalidImageIndex.into())
}
Ok(format!("https://cdn.midjourney.com/{}/0_{}.png", job_id, image_index))
}
@@ -1,70 +0,0 @@
use crate::error::midjourney_api_error::MidjourneyApiError;
use crate::error::midjourney_client_error::MidjourneyClientError;
use crate::error::midjourney_error::MidjourneyError;
use crate::utils::get_image_url::get_image_url;
use cloudflare_errors::filter_cloudflare_errors::filter_cloudflare_errors;
use wreq::Client;
use wreq_util::Emulation;
#[derive(Clone)]
pub struct ImageDownloaderClient {
client: Client,
}
impl ImageDownloaderClient {
pub fn create() -> Result<Self, MidjourneyClientError> {
Ok(Self {
client: Client::builder()
.emulation(Emulation::Firefox139)
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?
})
}
pub async fn download_image(&self, job_id: &str, image_index: u8) -> anyhow::Result<Vec<u8>, MidjourneyError> {
let url = get_image_url(job_id, image_index)?;
// TODO: Cookies
// TODO: Cache control headers?
let mut http_request = self.client.get(url)
//.header("Referrer-Policy", "origin-when-cross-origin")
//.header("content-type", "application/json")
//.header("sec-fetch-user", "?1")
//.header("upgrade-insecure-requests", "1");
.header("Referrer", "https://www.midjourney.com/")
.header("accept", "image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8")
.header("accept-language", "en-US,en;q=0.8")
.header("priority", "i")
.header("sec-ch-ua-mobile", "?0")
.header("sec-fetch-dest", "image")
.header("sec-fetch-mode", "no-cors")
.header("sec-fetch-site", "same-site");
let http_request = http_request
.build()
.map_err(|err| MidjourneyClientError::WreqError(err))?;
let response = self.client.execute(http_request)
.await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
let status = response.status();
let response_bytes = response.bytes().await
.map_err(|e| MidjourneyApiError::NetworkError(e.to_string()))?;
if !status.is_success() {
let response_body = String::from_utf8_lossy(&response_bytes).to_string();
if let Err(err) = filter_cloudflare_errors(status.as_u16(), &response_body) {
return Err(MidjourneyApiError::CloudflareError(err).into());
}
return Err(MidjourneyApiError::UnknownHttpFailure {
status_code: status.as_u16(),
body: response_body,
}.into());
}
Ok(response_bytes.to_vec())
}
}
@@ -1,2 +0,0 @@
pub mod get_image_url;
pub mod image_downloader_client;
@@ -59,7 +59,7 @@ impl Display for ApiError {
ApiError::Unauthorized(msg) => write!(f, "Unauthorized: {}", msg),
ApiError::Forbidden(msg) => write!(f, "Forbidden: {}", msg),
ApiError::NotFound(msg) => write!(f, "Not found: {}", msg),
ApiError::TooManyRequests(msg) => write!(f, "Too many requests to Storyteller backend: {}", msg),
ApiError::TooManyRequests(msg) => write!(f, "Too many requests: {}", msg),
ApiError::InternalServerError {body, backend_hostname} =>
write!(f, "Internal Server Error; backend hostname: {:?} ; body: {}; ", backend_hostname, body),
// Server response handling errors
@@ -7,9 +7,6 @@ use crate::error::api_error::ApiError;
/// An error arising from the client, either before or after the request is sent.
#[derive(Debug)]
pub enum ClientError {
/// An invalid request was detected before it was sent.
InvalidPreflightRequest(String),
/// Could not determine the filetype for the file.
FileTypeNotKnown(PathBuf),
@@ -31,7 +28,6 @@ impl Error for ClientError {}
impl Display for ClientError {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
match self {
Self::InvalidPreflightRequest(msg) => write!(f, "Invalid preflight request: {}", msg),
Self::FileTypeNotKnown(path) => write!(f, "Could not determine the filetype for the file: {:?}", path),
Self::FileTypeNotHandled(path) => write!(f, "Could not handle the file type for the file: {:?}", path),
Self::IoError(err) => write!(f, "IO error: {}", err),
@@ -13,8 +13,8 @@ impl Error for StorytellerError {}
impl std::fmt::Display for StorytellerError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
StorytellerError::Api(e) => write!(f, "Storyteller API error: {:?}", e),
StorytellerError::Client(e) => write!(f, "Storyteller Client error: {:?}", e),
StorytellerError::Api(e) => write!(f, "API error: {:?}", e),
StorytellerError::Client(e) => write!(f, "Client error: {:?}", e),
}
}
}
@@ -1,19 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::basic_json_post_request::basic_json_post_request;
use artcraft_api_defs::generate::image::edit::flux_pro_kontext_max_edit_image::{FluxProKontextMaxEditImageRequest, FluxProKontextMaxEditImageResponse, FLUX_PRO_KONTEXT_MAX_EDIT_IMAGE_PATH};
pub async fn flux_pro_kontext_max_edit_image(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
request: FluxProKontextMaxEditImageRequest,
) -> Result<FluxProKontextMaxEditImageResponse, StorytellerError> {
Ok(basic_json_post_request(
api_host,
FLUX_PRO_KONTEXT_MAX_EDIT_IMAGE_PATH,
maybe_creds,
request,
).await?)
}
@@ -1,2 +1 @@
pub mod flux_pro_kontext_max_edit_image;
pub mod gpt_image_1_edit_image;
@@ -1,19 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::basic_json_post_request::basic_json_post_request;
use artcraft_api_defs::generate::image::generate_gpt_image_1_text_to_image::{GenerateGptImage1TextToImageRequest, GenerateGptImage1TextToImageResponse, GPT_IMAGE_1_TEXT_TO_IMAGE_PATH};
pub async fn generate_gpt_image_1_text_to_image(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
request: GenerateGptImage1TextToImageRequest,
) -> Result<GenerateGptImage1TextToImageResponse, StorytellerError> {
Ok(basic_json_post_request(
api_host,
GPT_IMAGE_1_TEXT_TO_IMAGE_PATH,
maybe_creds,
request,
).await?)
}
@@ -1,18 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::basic_json_post_request::basic_json_post_request;
use artcraft_api_defs::generate::image::inpaint::flux_dev_juggernaut_inpaint_image::{FluxDevJuggernautInpaintImageRequest, FluxDevJuggernautInpaintImageResponse, FLUX_DEV_JUGGERNAUT_INPAINT_PATH};
pub async fn flux_dev_juggernaut_inpaint_image(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
request: FluxDevJuggernautInpaintImageRequest,
) -> Result<FluxDevJuggernautInpaintImageResponse, StorytellerError> {
Ok(basic_json_post_request(
api_host,
FLUX_DEV_JUGGERNAUT_INPAINT_PATH,
maybe_creds,
request,
).await?)
}
@@ -1,18 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::basic_json_post_request::basic_json_post_request;
use artcraft_api_defs::generate::image::inpaint::flux_pro_1_inpaint_image::{FluxPro1InpaintImageRequest, FluxPro1InpaintImageResponse, FLUX_PRO_1_INPAINT_PATH};
pub async fn flux_pro_1_inpaint_image(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
request: FluxPro1InpaintImageRequest,
) -> Result<FluxPro1InpaintImageResponse, StorytellerError> {
Ok(basic_json_post_request(
api_host,
FLUX_PRO_1_INPAINT_PATH,
maybe_creds,
request,
).await?)
}
@@ -1,2 +0,0 @@
pub mod flux_pro_1_inpaint_image;
pub mod flux_dev_juggernaut_inpaint_image;
@@ -3,6 +3,4 @@ pub mod generate_flux_1_dev_text_to_image;
pub mod generate_flux_1_schnell_text_to_image;
pub mod generate_flux_pro_11_text_to_image;
pub mod generate_flux_pro_11_ultra_text_to_image;
pub mod generate_gpt_image_1_text_to_image;
pub mod inpaint;
pub mod remove_image_background;
@@ -5,6 +5,6 @@ pub mod error;
pub mod generate;
pub mod jobs;
pub mod media_files;
pub mod prompts;
pub mod recipes;
pub mod shared_response_types;
pub mod utils;
@@ -1,12 +1,12 @@
use crate::error::api_error::ApiError;
use crate::error::storyteller_error::StorytellerError;
use crate::shared_response_types::media_file_cover_image_details::MediaFileCoverImageDetails;
use crate::shared_response_types::media_links::MediaLinks;
use crate::shared_response_types::simple_entity_stats::SimpleEntityStats;
use crate::shared_response_types::user_details_light::UserDetailsLight;
use crate::utils::api_host::ApiHost;
use crate::utils::filter_bad_response::filter_bad_response;
use crate::utils::http_get_anonymous::http_get_anonymous;
use artcraft_api_defs::common::responses::media_file_cover_image_details::MediaFileCoverImageDetails;
use artcraft_api_defs::common::responses::media_links::MediaLinks;
use artcraft_api_defs::common::responses::simple_entity_stats::SimpleEntityStats;
use artcraft_api_defs::common::responses::user_details_light::UserDetailsLight;
use chrono::{DateTime, Utc};
use enums::by_table::media_files::media_file_animation_type::MediaFileAnimationType;
use enums::by_table::media_files::media_file_class::MediaFileClass;
@@ -1,19 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::basic_json_get_request::basic_json_get_request;
use artcraft_api_defs::media_file::list_batch_generated_media_files::{ListBatchGeneratedReduxMediaFilesSuccessResponse, LIST_BATCH_GENERATED_REDUX_MEDIA_FILES_URL_PATH};
use tokens::tokens::batch_generations::BatchGenerationToken;
pub async fn list_batch_generated_redux_media_files(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
batch_token: &BatchGenerationToken,
) -> Result<ListBatchGeneratedReduxMediaFilesSuccessResponse, StorytellerError> {
let url = format!("{}/{}", LIST_BATCH_GENERATED_REDUX_MEDIA_FILES_URL_PATH, batch_token.to_string());
Ok(basic_json_get_request(
api_host,
&url,
maybe_creds,
).await?)
}
@@ -1,6 +1,4 @@
pub mod get_media_file;
pub mod list_batch_generated_redux_media_files;
pub mod upload_image_media_file_from_bytes;
pub mod upload_image_media_file_from_file;
pub mod upload_new_engine_asset_from_file;
pub mod upload_video_media_file_from_file;
@@ -1,134 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::api_error::ApiError;
use crate::error::client_error::ClientError;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::constants::{APPLICATION_JSON, USER_AGENT};
use crate::utils::filter_bad_response::filter_bad_response;
use crate::utils::http_get_anonymous::http_get_anonymous;
use chrono::{DateTime, Utc};
use enums::by_table::media_files::media_file_animation_type::MediaFileAnimationType;
use enums::by_table::media_files::media_file_class::MediaFileClass;
use enums::by_table::media_files::media_file_engine_category::MediaFileEngineCategory;
use enums::by_table::media_files::media_file_type::MediaFileType;
use enums::by_table::model_weights::weights_category::WeightsCategory;
use enums::common::visibility::Visibility;
use enums::no_table::style_transfer::style_transfer_name::StyleTransferName;
use enums_public::by_table::model_weights::public_weights_types::PublicWeightsType;
use idempotency::uuid::generate_random_uuid;
use log::debug;
use reqwest::multipart::{Form, Part};
use reqwest::Client;
use serde_derive::{Deserialize, Serialize};
use std::fs::File;
use std::io::Read;
use std::path::Path;
use tokens::tokens::batch_generations::BatchGenerationToken;
use tokens::tokens::media_files::MediaFileToken;
use tokens::tokens::model_weights::ModelWeightToken;
use tokens::tokens::prompts::PromptToken;
use uuid::uuid;
pub struct UploadImageBytesArgs<'a> {
pub api_host: &'a ApiHost,
pub maybe_creds: Option<&'a StorytellerCredentialSet>,
// NB: Bytes need to be owned for the request.
pub image_bytes: Vec<u8>,
pub image_type: ImageType,
/// If true, we should hide the image from the user's gallery.
pub is_intermediate_system_file: bool,
}
#[derive(Clone, Copy, Debug)]
pub enum ImageType {
Png,
Jpeg,
Gif,
}
impl ImageType {
pub fn mime_type(&self) -> &str {
match self {
ImageType::Png => "image/png",
ImageType::Jpeg => "image/jpeg",
ImageType::Gif => "image/gif",
}
}
pub fn file_extension(&self) -> &str {
match self {
ImageType::Png => "png",
ImageType::Jpeg => "jpg",
ImageType::Gif => "gif",
}
}
}
/// Upload an image media file from a file.
/// NB: File type is not checked, so caller needs to enforce.
/// NB: We need owned bytes for the request.
pub async fn upload_image_media_file_from_bytes(
args: UploadImageBytesArgs<'_>
) -> Result<UploadImageMediaFileSuccessResponse, StorytellerError> {
let url = get_route(args.api_host);
debug!("Requesting {:?}", &url);
let client = Client::builder()
.gzip(true)
.build()
.map_err(|err| StorytellerError::Client(ClientError::from(err)))?;
let part = Part::bytes(args.image_bytes)
.file_name(format!("image.{}", args.image_type.file_extension()))
.mime_str(args.image_type.mime_type())
.map_err(|err| StorytellerError::Client(ClientError::from(err)))?;
let mut form = Form::new()
.text("uuid_idempotency_token", generate_random_uuid())
.part("file", part);
if args.is_intermediate_system_file {
form = form.text("is_intermediate_system_file", "true");
}
let mut request_builder = client.post(url)
.header("User-Agent", USER_AGENT)
.header("Accept", APPLICATION_JSON);
if let Some(creds) = args.maybe_creds {
if let Some(header) = &creds.maybe_as_cookie_header() {
request_builder = request_builder.header("Cookie", header);
}
}
let response = request_builder
.multipart(form)
.send()
.await
.map_err(|err| StorytellerError::Api(ApiError::from(err)))?;
let response = filter_bad_response(response).await?;
let response_body = &response.text().await
.map_err(|err| StorytellerError::Api(ApiError::from(err)))?;
let media_file = serde_json::from_str(&response_body)
.map_err(|err| StorytellerError::Api(ApiError::from(err)))?;
Ok(media_file)
}
fn get_route(api_host: &ApiHost) -> String {
let api_hostname_and_scheme = api_host.to_api_hostname_and_scheme();
format!("{}/v1/media_files/upload/image", api_hostname_and_scheme)
}
// TODO(bt,2025-04-22): Share API definitions between client and server in common crate.
#[derive(Deserialize, Debug)]
pub struct UploadImageMediaFileSuccessResponse {
pub success: bool,
pub media_file_token: MediaFileToken,
}
@@ -2,6 +2,10 @@ use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::api_error::ApiError;
use crate::error::client_error::ClientError;
use crate::error::storyteller_error::StorytellerError;
use crate::shared_response_types::media_file_cover_image_details::MediaFileCoverImageDetails;
use crate::shared_response_types::media_links::MediaLinks;
use crate::shared_response_types::simple_entity_stats::SimpleEntityStats;
use crate::shared_response_types::user_details_light::UserDetailsLight;
use crate::utils::api_host::ApiHost;
use crate::utils::constants::{APPLICATION_JSON, USER_AGENT};
use crate::utils::filter_bad_response::filter_bad_response;
@@ -12,7 +16,6 @@ use enums::by_table::media_files::media_file_class::MediaFileClass;
use enums::by_table::media_files::media_file_engine_category::MediaFileEngineCategory;
use enums::by_table::media_files::media_file_type::MediaFileType;
use enums::by_table::model_weights::weights_category::WeightsCategory;
use enums::common::generation_provider::GenerationProvider;
use enums::common::visibility::Visibility;
use enums::no_table::style_transfer::style_transfer_name::StyleTransferName;
use enums_public::by_table::model_weights::public_weights_types::PublicWeightsType;
@@ -30,34 +33,14 @@ use tokens::tokens::model_weights::ModelWeightToken;
use tokens::tokens::prompts::PromptToken;
use uuid::uuid;
pub struct UploadImageFromFileArgs<'a, P: AsRef<Path>> {
pub api_host: &'a ApiHost,
pub maybe_creds: Option<&'a StorytellerCredentialSet>,
// NB: Path needs to be owned for the request.
pub path: P,
/// If true, we should hide the image from the user's gallery.
pub is_intermediate_system_file: bool,
/// If provided, this is the prompt that this image is associated with.
/// NOTE: Cannot set `is_intermediate_system_file = true` if this is set.
pub maybe_prompt_token: Option<&'a PromptToken>,
// /// If provided, this is the service provider that created the image.
// /// NOTE: Cannot set `is_intermediate_system_file = true` if this is set.
// pub maybe_generation_provider: Option<GenerationProvider>,
}
/// Upload an image media file from a file.
pub async fn upload_image_media_file_from_file<P: AsRef<Path>>(
args: UploadImageFromFileArgs<'_, P>,
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
path: P,
) -> Result<UploadImageMediaFileSuccessResponse, StorytellerError> {
validate_args(&args)?;
let url = get_route(args.api_host);
let url = get_route(api_host);
debug!("Requesting {:?}", &url);
@@ -68,25 +51,17 @@ pub async fn upload_image_media_file_from_file<P: AsRef<Path>>(
.build()
.map_err(|err| StorytellerError::Client(ClientError::from(err)))?;
let mut form = Form::new()
let form = Form::new()
.text("uuid_idempotency_token", generate_random_uuid())
.file("file", args.path)
.file("file", path)
.await
.map_err(|err| StorytellerError::Client(ClientError::from(err)))?;
if args.is_intermediate_system_file {
form = form.text("is_intermediate_system_file", "true");
}
if let Some(prompt_token) = &args.maybe_prompt_token {
form = form.text("maybe_prompt_token", prompt_token.to_string());
}
let mut request_builder = client.post(url)
.header("User-Agent", USER_AGENT)
.header("Accept", APPLICATION_JSON);
if let Some(creds) = args.maybe_creds {
if let Some(creds) = maybe_creds {
if let Some(header) = &creds.maybe_as_cookie_header() {
request_builder = request_builder.header("Cookie", header);
}
@@ -120,15 +95,3 @@ pub struct UploadImageMediaFileSuccessResponse {
pub success: bool,
pub media_file_token: MediaFileToken,
}
fn validate_args<P: AsRef<Path>>(
args: &UploadImageFromFileArgs<'_, P>,
) -> Result<(), StorytellerError> {
if args.is_intermediate_system_file && args.maybe_prompt_token.is_some() {
return Err(StorytellerError::Client(ClientError::InvalidPreflightRequest(
"Cannot set `is_intermediate_system_file` to true if `maybe_prompt_token` is provided."
.to_string())));
}
Ok(())
}
@@ -1,5 +1,9 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::api_error::ApiError;
use crate::shared_response_types::media_file_cover_image_details::MediaFileCoverImageDetails;
use crate::shared_response_types::media_links::MediaLinks;
use crate::shared_response_types::simple_entity_stats::SimpleEntityStats;
use crate::shared_response_types::user_details_light::UserDetailsLight;
use crate::utils::api_host::ApiHost;
use crate::utils::constants::{APPLICATION_JSON, USER_AGENT};
use crate::utils::filter_bad_response::filter_bad_response;
@@ -1,5 +1,9 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::api_error::ApiError;
use crate::shared_response_types::media_file_cover_image_details::MediaFileCoverImageDetails;
use crate::shared_response_types::media_links::MediaLinks;
use crate::shared_response_types::simple_entity_stats::SimpleEntityStats;
use crate::shared_response_types::user_details_light::UserDetailsLight;
use crate::utils::api_host::ApiHost;
use crate::utils::constants::{APPLICATION_JSON, USER_AGENT};
use crate::utils::filter_bad_response::filter_bad_response;
@@ -1,18 +0,0 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::storyteller_error::StorytellerError;
use crate::utils::api_host::ApiHost;
use crate::utils::basic_json_post_request::basic_json_post_request;
use artcraft_api_defs::prompts::create_prompt::{CreatePromptRequest, CreatePromptResponse, CREATE_PROMPT_PATH};
pub async fn create_prompt(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
request: CreatePromptRequest,
) -> Result<CreatePromptResponse, StorytellerError> {
Ok(basic_json_post_request(
api_host,
CREATE_PROMPT_PATH,
maybe_creds,
request,
).await?)
}
@@ -1 +0,0 @@
pub mod create_prompt;
@@ -1,7 +1,7 @@
use crate::credentials::storyteller_credential_set::StorytellerCredentialSet;
use crate::error::client_error::ClientError;
use crate::error::storyteller_error::StorytellerError;
use crate::media_files::upload_image_media_file_from_file::{upload_image_media_file_from_file, UploadImageFromFileArgs};
use crate::media_files::upload_image_media_file_from_file::upload_image_media_file_from_file;
use crate::media_files::upload_new_engine_asset_from_file::upload_new_engine_asset_from_file;
use crate::media_files::upload_video_media_file_from_file::upload_video_media_file_from_file;
use crate::utils::api_host::ApiHost;
@@ -10,7 +10,6 @@ use mimetypes::mimetype_info::mimetype_info::MimetypeInfo;
use serde_derive::Deserialize;
use std::path::Path;
use tokens::tokens::media_files::MediaFileToken;
use tokens::tokens::prompts::PromptToken;
#[derive(Deserialize, Debug)]
pub struct UploadMediaFileSuccessResponse {
@@ -23,7 +22,6 @@ pub async fn upload_media_file_from_file<P: AsRef<Path>>(
api_host: &ApiHost,
maybe_creds: Option<&StorytellerCredentialSet>,
path: P,
maybe_prompt_token: Option<&PromptToken>,
) -> Result<UploadMediaFileSuccessResponse, StorytellerError> {
let maybe_type = MimetypeInfo::get_for_path(path.as_ref())
@@ -51,14 +49,7 @@ pub async fn upload_media_file_from_file<P: AsRef<Path>>(
}
}
Some(FileExtension::Png) | Some(FileExtension::Jpg) | Some(FileExtension::Gif) | Some(FileExtension::Webp) => {
let result = upload_image_media_file_from_file(UploadImageFromFileArgs {
api_host,
maybe_creds,
path,
is_intermediate_system_file: false,
maybe_prompt_token,
}).await;
match result {
match upload_image_media_file_from_file(api_host, maybe_creds, path).await {
Ok(result) => Ok(UploadMediaFileSuccessResponse {
success: result.success,
media_file_token: result.media_file_token,
@@ -1,11 +1,8 @@
use serde_derive::{Deserialize, Serialize};
use serde_derive::Deserialize;
use url::Url;
// TODO(bt,2025-08-20): Replace the storyteller-web version of this.
// All it needs is the impl ported into a builder.
/// Cover image links can only be jpg, png, etc. No videos.
#[derive(Serialize, Deserialize, Debug)]
#[derive(Deserialize, Debug)]
pub struct CoverImageLinks {
/// Primary link to the cover image via the CDN.
pub cdn_url: Url,
@@ -1,22 +1,19 @@
use crate::common::responses::cover_image_links::CoverImageLinks;
use serde_derive::{Deserialize, Serialize};
// TODO(bt,2025-08-20): Replace the storyteller-web version of this.
// We can't drop the old version just yet due to the `impl` (easy)
// and a few differing fields.
use serde_derive::{Deserialize};
use url::Url;
use crate::shared_response_types::cover_image_links::CoverImageLinks;
/// Everything we need to create a cover image.
/// Cover images are small descriptive images that can be set for any media file.
/// If a cover image is set, this is the path to the asset.
#[derive(Serialize, Deserialize, Debug)]
#[derive(Deserialize, Debug)]
pub struct MediaFileCoverImageDetails {
// /// (DEPRECATED) URL path to the media file
// #[deprecated(note="This field doesn't point to the full URL. Use media_links instead to leverage the CDN.")]
// pub maybe_cover_image_public_bucket_path: Option<String>,
// /// (DEPRECATED) URL path to the media file
// #[deprecated(note="This field doesn't point to the full URL. Use media_links instead to leverage the CDN.")]
// pub maybe_cover_image_public_bucket_path: Option<String>,
// /// (DEPRECATED) Full URL to the media file
// #[deprecated(note="This points to the bucket. Use media_links instead to leverage the CDN.")]
// pub maybe_cover_image_public_bucket_url: Option<Url>,
// /// (DEPRECATED) Full URL to the media file
// #[deprecated(note="This points to the bucket. Use media_links instead to leverage the CDN.")]
// pub maybe_cover_image_public_bucket_url: Option<Url>,
// NB(bt,2024-09-19): I accidentally rolled this field out to production.
// I don't think this field is in use, but maybe ...
@@ -36,7 +33,7 @@ pub struct MediaFileCoverImageDetails {
/// The default cover is composed of an image and color pair that are
/// predefined by the frontend.
#[derive(Serialize, Deserialize, Debug)]
#[derive(Deserialize, Debug)]
pub struct MediaFileDefaultCover {
pub image_index: u8,
pub color_index: u8,
@@ -0,0 +1,34 @@
use serde_derive::Deserialize;
use url::Url;
/// Links to media file locations (bucket, CDN, etc.)
#[derive(Deserialize, Debug)]
pub struct MediaLinks {
/// Primary link to the asset via the CDN.
pub cdn_url: Url,
/// Template to construct thumbnail URLs.
/// Replace the string `{WIDTH}` with the desired width.
/// Only relevant for image media files. (Video media files instead have
/// video previews, which, in turn, have their own thumbnail templates.)
pub maybe_thumbnail_template: Option<String>,
/// Video preview images (still and animated gif) for mp4 video files.
/// These are only set for video media files.
/// These are not set for "cover images" that are gif or webms, but rather video files.
pub maybe_video_previews: Option<VideoPreviews>,
}
#[derive(Deserialize, Debug)]
pub struct VideoPreviews {
/// A static single frame preview image of the video.
pub still: Url,
/// An animated gif preview of the video.
pub animated: Url,
/// A template used to construct the still thumbnail URL.
/// Replace the string `{WIDTH}` with the desired width.
pub still_thumbnail_template: String,
/// A template used to construct the animated thumbnail URL.
/// Replace the string `{WIDTH}` with the desired width.
pub animated_thumbnail_template: String,
}
@@ -0,0 +1,5 @@
pub mod cover_image_links;
pub mod media_file_cover_image_details;
pub mod media_links;
pub mod simple_entity_stats;
pub mod user_details_light;
@@ -1,9 +1,7 @@
use serde_derive::{Deserialize, Serialize};
// TODO(bt,2025-08-20): Replace the storyteller-web version of this.
use serde_derive::Deserialize;
/// Simple stats that can be attached to any entity
#[derive(Serialize, Deserialize, Debug)]
#[derive(Deserialize, Debug)]
pub struct SimpleEntityStats {
/// Number of positive ratings (or "likes") for this item
pub positive_rating_count: u32,
@@ -1,8 +1,8 @@
use serde_derive::{Deserialize, Serialize};
use serde_derive::Deserialize;
use tokens::tokens::users::UserToken;
/// Everything we need to refer to a user on the public web interface.
#[derive(Serialize, Deserialize, Debug)]
#[derive(Deserialize, Debug)]
pub struct UserDetailsLight {
/// The token for the user
pub user_token: UserToken,
@@ -26,7 +26,7 @@ pub struct UserDetailsLight {
// In the future, we'll also support user-uploaded avatars that we store on our servers.
}
#[derive(Serialize, Deserialize, Debug)]
#[derive(Deserialize, Debug)]
pub struct UserDefaultAvatarInfo {
pub image_index: u8,
pub color_index: u8,
+15 -18
View File
@@ -23,27 +23,24 @@ tauri-build = { version = "2.1.1", features = [] }
[dependencies]
# Workspace hack (faster compile times)
workspace-build-acceleration.workspace = true
workspace-build-acceleration = { workspace = true }
# Internal
artcraft_api_defs.workspace = true
build_metadata.workspace = true
cookie_store.workspace = true
enums.workspace = true
errors.workspace = true
fal_client.workspace = true
filesys.workspace = true
idempotency.workspace = true
images.workspace = true
memory_store.workspace = true
midjourney_client.workspace = true
mimetypes.workspace = true
openai_sora_client.workspace = true
primitives.workspace = true
artcraft_api_defs = { workspace = true }
build_metadata = { workspace = true }
enums = { workspace = true }
errors = { workspace = true }
fal_client = { workspace = true }
filesys = { workspace = true }
idempotency = { workspace = true }
memory_store = { workspace = true }
mimetypes = { workspace = true }
openai_sora_client = { workspace = true }
primitives = { workspace = true }
sqlite_tasks.workspace = true
storyteller_client.workspace = true
tokens.workspace = true
web_base64.workspace = true
storyteller_client = { workspace = true }
tokens = { workspace = true }
web_base64 = { workspace = true }
# External
anyhow = { workspace = true }

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