This commit refactors the logging mechanism across the application by replacing direct logger calls with a centralized logging approach using the `common` package. Key changes include:
- Replaced instances of `logger.SysLog` and `logger.FatalLog` with `common.SysLog` and `common.FatalLog` for consistent logging practices.
- Updated resource initialization error handling to utilize the new logging structure, enhancing maintainability and readability.
- Minor adjustments to improve code clarity and organization throughout various modules.
This change aims to streamline logging and improve the overall architecture of the codebase.
This commit introduces a major architectural refactoring to improve quota management, centralize logging, and streamline the relay handling logic.
Key changes:
- **Pre-consume Quota:** Implements a new mechanism to check and reserve user quota *before* making the request to the upstream provider. This ensures more accurate quota deduction and prevents users from exceeding their limits due to concurrent requests.
- **Unified Relay Handlers:** Refactors the relay logic to use generic handlers (e.g., `ChatHandler`, `ImageHandler`) instead of provider-specific implementations. This significantly reduces code duplication and simplifies adding new channels.
- **Centralized Logger:** A new dedicated `logger` package is introduced, and all system logging calls are migrated to use it, moving this responsibility out of the `common` package.
- **Code Reorganization:** DTOs are generalized (e.g., `dalle.go` -> `openai_image.go`) and utility code is moved to more appropriate packages (e.g., `common/http.go` -> `service/http.go`) for better code structure.
Front-end enhancements around “Add custom models”:
• EditChannel.js / EditTagModal.js
– Skip models that already exist instead of blocking the action.
– Collect actually inserted items and display:
• Success toast: “Added N models: model1, model2 …”
• Info toast when no new model detected.
– Keeps UX smooth while preserving deduplication logic.
• i18n
– en.json: added keys
• "已新增 {{count}} 个模型：{{list}}"
• "未发现新增模型"
– Fixed a broken JSON string containing smart quotes to maintain valid syntax.
Result:
Users can bulk-paste model names; duplicates are silently ignored and the UI clearly lists what was incrementally appended. All messages are fully internationalised.
Closes#1218
The previous patch lower-cased `group` and `model` when building the
temporary `abilitySet` used to prevent duplicate inserts.
This merged models that differ only by letter case, e.g.
`GPT-3.5-turbo` vs `gpt-3.5-turbo`, causing them to disappear from the
user’s available-models list and pricing page.
Change:
• ability.go – removed all `strings.ToLower` calls when composing the
deduplication key (`group|model`), so duplicates are checked in a
case-sensitive manner while preserving the original data.
Result:
• `GPT-3.5-turbo` and `gpt-3.5-turbo` are now treated as distinct
models throughout the system.
When importing large model lists (≈700+) an attempt to save a channel
could fail with:
Error 1062 (23000): Duplicate entry 'default-DeepSeek-1' for key 'abilities.PRIMARY'
Root cause: AddAbilities / UpdateAbilities inserted the same
(group, model) pair multiple times if the input list contained
duplicates or case-variants (e.g. `default` vs `Default`).
Changes:
• ability.go
– AddAbilities: introduced `abilitySet` to deduplicate by
lower-cased `group|model` key before batch-inserting.
– UpdateAbilities: applied the same deduplication logic when
rebuilding abilities inside a transaction.
Notes:
• The lower-casing is only for set comparison; the original
`group` and `model` values are preserved when persisting to DB,
so case sensitivity of stored data is unchanged.
• Batch chunking logic (lo.Chunk) and performance characteristics
remain unaffected.
Fixes#1215
- Added a new endpoint to batch set tags for multiple channels, allowing users to update tags efficiently.
- Introduced a new `BatchSetChannelTag` function in the controller to handle incoming requests and validate parameters.
- Updated the `BatchSetChannelTag` method in the model to manage database transactions and ensure data integrity during tag updates.
- Enhanced the ChannelsTable component in the frontend to support batch tag setting, including UI elements for user interaction.
- Updated localization files to include new translation keys related to batch operations and tag settings.
