* perf: binary-search EPG programme lookup
Replaces the linear position() scan with a binary search via partition_point for EPG programmes. Reduces complexity to O(log p).
* perf: cache interned PlaylistItemType label
Avoids repetitive hash-map lookups during sorting and filtering. The five fixed labels are now interned once via OnceLock and returned as a cheap Arc clone.
* perf: avoid per-event String allocation in web-UI XMLTV parser
Uses borrowed Cow types instead of allocating a new String for every element name. Tracks the active text state using a small TextTag enum.
* perf: throttle per-chunk download control poll
Throttles the control_signal lock polling to a 200ms interval on multi-GB downloads to prevent CPU thrashing. Immediate actions (pause/cancel) remain guaranteed via control_notify.
* perf: pre-size filtered channel buffers in apply_filter_to_playlist
Pre-allocates the filtered channel vector based on the source group length. Eliminates step-by-step reallocations on large playlists.
* fix: surface playlist cache load failures instead of silent empty fallback
Replaces silent error swallowing with real error logging (distinguishing missing files from corruption) while preserving the empty fallback behavior.
* perf: remove redundant first drain loop in get_remote_content_as_file
Removes a dead, redundant loop. The stream body is now consumed only once, allowing the idle timeout to protect the transfer correctly.
* perf: back off instead of busy-spinning on empty client-stream chunks
Introduces a short Sleep backoff (Poll::Pending) when a provider sends continuous empty keep-alive chunks. Prevents the CPU from spinning hot.
* perf: make library orphan cleanup linear instead of O(n^2)
Reduces the complexity of cleaning up orphaned entries from O(n^2) to linear O(n). Loads the metadata library only once and pre-computes partitions.
* perf: indexed batched merge for series expansion instead of O(n^2) scans
Replaces expensive O(n^2) scans during series expansion with index-based batch processing. Builds temporary lookup indexes and merges groups linearly.
* perf: pre-size group flatten buffers to reduce reallocation churn
Pre-allocates target merge vectors and category indexes to eliminate repeated memory reallocations when flattening large target playlists.
* perf: stream custom provider playlist endpoint instead of materializing it
Switches from full in-memory materialization to lazy conversion and streaming of JSON/binary responses. Massively reduces the memory footprint.
* refactor: centralize InputType batch/family checks behind enum helpers
Moves scattered matches! checks for M3u/Xtream types into centralized enum helpers (is_batch(), etc.) to prevent logic drift.
* refactor: centralize XMLTV tag/attribute literals into named constants
Replaces hardcoded inline strings in the XMLTV parser with named constants (EPG_TAG_TITLE, etc.) as a single source of truth.
* refactor: derive GeoIpUpdateError Display/Error via thiserror
Replaces manual Display and Error implementations with the thiserror macro, allowing new error variants to self-document their formatting.
* refactor: attach per-cluster facts to XtreamCluster instead of scattered matches
Centralizes redundant API actions and collection name mappings directly onto the XtreamCluster struct instead of using scattered match blocks.
* refactor: centralize PlaylistItemType video/series classification
Introduces is_video() / is_series() on the enum to unify duplicate matches! checks across filters, probes, and tracking modules.
* feat: add per-stage summary logs to VOD/series resolve queueing
Adds a concise debug summary per processing stage (total counters and elapsed time) to make hot-path diagnostics easier without raising the log level.
* refactor: generate ItemField get/set from a single direct-field list
Uses a callback macro to synchronously generate both getter and setter blocks for directly-bound fields (Name, Url, etc.) from a single master list.
* refactor: derive input-type routing from a single capability descriptor
Bundles InputType behaviors (backends, connection rules) into a single capabilities() descriptor to prevent bugs when adding new variants.
* refactor: derive output-format routing from a single capability descriptor
Centralizes output format features (filter, EPG, and cache support) into a single TargetCapabilities descriptor instead of spreading logic across no-op match arms.
* No template file not found error message
* Setup wizard improvmenets
* path improvements
* staged input fix
* path improvements
* Provider dns resolved ips now writing to a file instead of source.yml
* Playlist update hard kill after 1h
* matadata update tmdb fix
* Web UI fixes
* GeoIp update schedule
* batch:// prefix for aliases
- Add Makefile to simplify installing required tools
- Add CONTRIBUTING.md welcome new contributors
- Add fmt, lint, test tasks to makefile and update CONTRIBUTING.md
- Add CI workflow
- Log with local date
* Fixed series sort issues
* Playlist explorer copy to clipboard functons implemented
* Epg time fix
* grace period hold stream option added.
* Fixed group and mapper normalization
* Image cache validity for browsers set to 4 hours. Responding now last modified and cache header.
* New Features
Added for_each DSL construct for iterating over playlist item fields, with split() function support.
Added "genre" as a queryable and editable playlist item field.
Bug Fixes
Improved short EPG request handling with automatic default limits.
Fixed EPG timestamp formatting to use UTC consistently.
* New Features
Added series information display with episodes, cast, and metadata in playlist explorer
Introduced multi-cluster playlist endpoints (live, VOD, series) for flexible content retrieval
Added series info lookup and filtering capabilities
Implemented sidebar navigation for source editor with dedicated pages (Main, Options, Staged, Advanced, Alias)
Added filter state controls (All, Selected, Deselected) for playlist category management
Enabled Trakt configuration toggle to control integration
Performance Improvements
Optimized B+Tree indexing for faster queries
Reduced startup latency with disk-based operations and optional memory caching
Improved string memory handling through efficient reference-counted strings
UI Enhancements
Enhanced playlist explorer with series details and episode grouping by season
Added new UI icons (Options, Advanced, Staging, Alias, Trakt)
Improved form layouts with toolbar controls
Enhanced radio button group styling for better visual hierarchy
* New Features
Added series information display with episodes, cast, and metadata in playlist explorer
Introduced multi-cluster playlist endpoints (live, VOD, series) for flexible content retrieval
Added series info lookup and filtering capabilities
Implemented sidebar navigation for source editor with dedicated pages (Main, Options, Staged, Advanced, Alias)
Added filter state controls (All, Selected, Deselected) for playlist category management
Enabled Trakt configuration toggle to control integration
Performance Improvements
Optimized B+Tree indexing for faster queries
Reduced startup latency with disk-based operations and optional memory caching
Improved string memory handling through efficient reference-counted strings
UI Enhancements
Enhanced playlist explorer with series details and episode grouping by season
Added new UI icons (Options, Advanced, Staging, Alias, Trakt)
Improved form layouts with toolbar controls
Enhanced radio button group styling for better visual hierarchy
* New Features
Added series information display with episodes, cast, and metadata in playlist explorer
Introduced multi-cluster playlist endpoints (live, VOD, series) for flexible content retrieval
Added series info lookup and filtering capabilities
Implemented sidebar navigation for source editor with dedicated pages (Main, Options, Staged, Advanced, Alias)
Added filter state controls (All, Selected, Deselected) for playlist category management
Enabled Trakt configuration toggle to control integration
Performance Improvements
Optimized B+Tree indexing for faster queries
Reduced startup latency with disk-based operations and optional memory caching
Improved string memory handling through efficient reference-counted strings
UI Enhancements
Enhanced playlist explorer with series details and episode grouping by season
Added new UI icons (Options, Advanced, Staging, Alias, Trakt)
Improved form layouts with toolbar controls
Enhanced radio button group styling for better visual hierarchy
* New Features
Added series information display with episodes, cast, and metadata in playlist explorer
Introduced multi-cluster playlist endpoints (live, VOD, series) for flexible content retrieval
Added series info lookup and filtering capabilities
Implemented sidebar navigation for source editor with dedicated pages (Main, Options, Staged, Advanced, Alias)
Added filter state controls (All, Selected, Deselected) for playlist category management
Enabled Trakt configuration toggle to control integration
Performance Improvements
Optimized B+Tree indexing for faster queries
Reduced startup latency with disk-based operations and optional memory caching
Improved string memory handling through efficient reference-counted strings
UI Enhancements
Enhanced playlist explorer with series details and episode grouping by season
Added new UI icons (Options, Advanced, Staging, Alias, Trakt)
Improved form layouts with toolbar controls
Enhanced radio button group styling for better visual hierarchy
An optimization has been introduced to reduce memory consumption during playlist updates.
Overview
Previously, provider playlists were fully loaded into memory during the update process. For large playlists (e.g. hundreds of thousands of entries or multiple providers), this could result in significant RAM usage.
With the new implementation, it is now possible to optionally read provider playlists directly from disk instead of keeping them entirely in memory.
How It Works
- users can configure whether:
- Provider playlists are loaded into memory (previous behavior), or
- Provider playlists are streamed to/from disk to minimize RAM usage.
Processing remains sequential and batch-based, ensuring identical functional behavior.
This approach significantly lowers peak memory usage, especially on systems with limited resources.
Benefits
- Reduced peak RAM consumption during playlist updates
- Better scalability for large playlists and multiple providers
- Full backward compatibility
Trade-offs / Drawbacks
- Increased processing time due to reduced in-memory caching
- Higher disk I/O usage, especially for large or fragmented playlists
- Performance depends more strongly on disk speed (Nvme SSD, HDD)
- Slightly increased CPU overhead due to repeated parsing and deserialization
- Not optimal for environments where fast updates are more important than memory usage
Recommendation
- Use in-memory mode for systems with sufficient RAM and a focus on update speed
- Use disk-based mode for large playlists, multiple providers, or memory-constrained environments
An optimization has been introduced to reduce memory consumption during playlist updates.
Overview
Previously, provider playlists were fully loaded into memory during the update process. For large playlists (e.g. hundreds of thousands of entries or multiple providers), this could result in significant RAM usage.
With the new implementation, it is now possible to optionally read provider playlists directly from disk instead of keeping them entirely in memory.
How It Works
- users can configure whether:
- Provider playlists are loaded into memory (previous behavior), or
- Provider playlists are streamed to/from disk to minimize RAM usage.
Processing remains sequential and batch-based, ensuring identical functional behavior.
This approach significantly lowers peak memory usage, especially on systems with limited resources.
Benefits
- Reduced peak RAM consumption during playlist updates
- Better scalability for large playlists and multiple providers
- Full backward compatibility
Trade-offs / Drawbacks
- Increased processing time due to reduced in-memory caching
- Higher disk I/O usage, especially for large or fragmented playlists
- Performance depends more strongly on disk speed (Nvme SSD, HDD)
- Slightly increased CPU overhead due to repeated parsing and deserialization
- Not optimal for environments where fast updates are more important than memory usage
Recommendation
- Use in-memory mode for systems with sufficient RAM and a focus on update speed
- Use disk-based mode for large playlists, multiple providers, or memory-constrained environments
- Added new mapper function `pad(text | number, number, char, optional position: "<" | ">" | "^")`
- Added new mapper function `format`, it is very simple and only supports in text replacement like `format("Hello {}! Hello {}!", "Bob", "World")`
- Added new mapper function `pad(text | number, number, char, optional position: "<" | ">" | "^")`
- Added new mapper function `format`, it is very simple and only supports in text replacement like `format("Hello {}! Hello {}!", "Bob", "World")`
