* Add support for configuring and using multiple OPDS servers, replacing
the previous single-server limitation. Closes
https://github.com/crosspoint-reader/crosspoint-reader/issues/1178
* New OpdsServerStore singleton (modeled after WifiCredentialStore) that
persists up to 8 OPDS servers to /.crosspoint/opds.json with MAC-based
password obfuscation.
* One-time migration from legacy single-server fields in
CrossPointSettings to the new store on first boot.
* New OpdsServerListActivity for the device UI — works in two modes: a
settings list (add/edit/delete servers) and a picker (select which
server to browse). When only one server is configured, the picker is
skipped automatically.
* Renamed CalibreSettingsActivity → OpdsSettingsActivity for clarity. It
now edits individual OpdsServer entries (name, URL, username, password,
delete).
* OpdsBookBrowserActivity now receives an OpdsServer at construction and
uses its credentials for all fetches/downloads, and shows the server
name in the header.
* HttpDownloader::fetchUrl and downloadToFile accept optional per-call
username/password parameters instead of reading from global settings.
* REST API endpoints on CrossPointWebServer: GET /api/opds, POST
/api/opds, POST /api/opds/delete — passwords are never exposed over the
API (only a hasPassword flag), and omitting the password field on update
preserves the existing one.
* Web UI (SettingsPage.html) with dynamic OPDS server management cards —
add, edit, save, and delete servers from the browser.
<img width="932" height="906" alt="SCR-20260416-stvu"
src="https://github.com/user-attachments/assets/a8f18d84-4204-46a0-bb31-b73d24b3255f"
/>
* The OpdsServerStore JSON format and obfuscation scheme are identical
to WifiCredentialStore, so the same JsonSettingsIO infrastructure
handles both.
* The web API uses POST /api/opds/delete instead of DELETE /api/opds
because the ESP32 WebServer doesn't support the DELETE method with a
request body.
* Existing single-server configurations are migrated automatically — no
user action required. After migration the legacy CrossPointSettings
fields are cleared so it only runs once.
* The HttpDownloader changes are backward-compatible: the credential
parameters default to empty strings, so existing callers are unaffected.
---
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? _**< YES >**_
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
## Problem
Many e-ink readers have limited image decoder support natively.
EPUBs with images in other formats than **baseline JPEG** frequently
cause:
- **Broken images**: pages render as blank, corrupted noise, or never
load
- **Slow rendering**: unoptimized images cause severe delays on e-ink
hardware, up to 7 seconds per page turn, with cover images taking up to
59 seconds to render
- **Broken covers**: the book thumbnail never generates
Fixing this today requires external tools before uploading.
---
## What this PR does
Adds an **optional, on-demand EPUB optimizer** to the file upload flow.
When enabled,
it converts all images to baseline JPEG directly in the browser — no
server, no internet,
no external tools needed.
**Conversion is opt-in. The standard upload flow is unchanged.**
---
## Real-world impact
The optimizer was applied in batch to **61 EPUBs**:
- 60 standard EPUBs: 198 MB → 55 MB (**−72.2%**, 143 MB saved)
- Text-dominant books: 8–46% smaller (covers and inline images
converted)
- Image-heavy / illustrated books: 65–93% smaller
- 1 Large manga volume (594 MB): 594 MB → 72 MB (**−87.8%**, 522 MB
saved)
- EPUB structural integrity fully maintained — zero new validation
issues introduced across all 61 books
*Size and integrity analysis:
[epub-comparator](https://github.com/pablohc/epub-comparator)*
From that set, **17 books were selected** as a representative sample
covering different content
types: image-heavy novels, pure manga, light novels with broken images,
and text-dominant books.
Each was benchmarked on two devices running in parallel, one on `master`
and one
on `PR#1224` — measuring render time across ~30 pages per book on
average.
### Rendering bugs fixed
| Book | Problem (original) | After optimization |
|------|--------------------|--------------------|
| Fairy Tale — Stephen King | Cover took **59.7 s** to render | 2.1 s
(−96%) |
| Cycle of the Werewolf — Stephen King | Cover took **23.3 s** to render
| 1.7 s (−93%) |
| Tomie: Complete Deluxe Ed. — Junji Ito | Cover took **18.3 s** to
render | 2.0 s (−89%) |
| Joel Dicker — El tigre (Ed. Ilustrada) | Cover took **14.5 s** to
render | 1.4 s (−90%) |
| Jackson, Holly — Asesinato para principiantes | Cover failed
completely (blank) | 2.0 s ✓ |
| Sentenced to Be a Hero — Yen Press | Cover failed, **8 images failed
to load** | All fixed ✓ |
| Flynn, Gillian — Perdida | Cover failed completely (blank) | 1.6 s ✓ |
| Chandler, Raymond — Asesino en la lluvia | Cover failed completely
(blank) | 2.0 s ✓ |
### Page render times — image-heavy EPUBs (avg per page)
| Book | Pages | Avg original | Avg optimized | Improvement | File size
|
|------|-------|-------------|---------------|-------------|-----------|
| Fairy Tale — Stephen King | 30 | 3,028 ms | 1,066 ms | **−64.8%** |
32.4 MB → 9.1 MB (−72%) |
| Cycle of the Werewolf — Stephen King | 33 | 3,026 ms | 1,558 ms |
**−48.5%** | 35.1 MB → 2.9 MB (−92%) |
| Joel Dicker — El tigre (Ed. Ilustrada) | 16 | 1,846 ms | 1,051 ms |
**−43.1%** | 5.3 MB → 0.4 MB (−93%) |
| Tomie: Complete Deluxe Ed. — Junji Ito | 30 | 4,817 ms | 2,802 ms |
**−41.8%** | 593.8 MB → 72.2 MB (−87.8%) |
| Sentenced to Be a Hero — Yen Press | 30 | 1,719 ms | 1,388 ms |
**−19.2%** | 15.2 MB → 1.6 MB (−90%) |
### Text-heavy EPUBs — no regression
| Book | Pages | Avg original | Avg optimized | Delta |
|------|-------|-------------|---------------|-------|
| Christie — Asesinato en el Orient Express | 30 | 1,672 ms | 1,646 ms |
−1.6% |
| Flynn — Perdida | 30 | 1,327 ms | 1,291 ms | −2.7% |
| Dicker — La verdad sobre el caso Harry Quebert | 30 | 1,132 ms | 1,084
ms | −4.2% |
| Hammett — El halcón maltés | 30 | 1,009 ms | 966 ms | −4.3% |
| Chandler — Asesino en la lluvia | 30 | 989 ms | 1,007 ms | +1.8% |
*Differences within ±5% — consistent with device measurement noise.*
*Render time benchmark:
[epub-optimization-benchmark](https://github.com/pablohc/epub-optimization-benchmark)*
---
## How to use it
**Single file:**
1. Click **Upload** (top of the page) — a modal opens. Use **Choose
files** to select one EPUB from your device.
2. Check **Optimize**.
- *(Optional)* Expand **Advanced Mode** — adjust quality, rotation, or
overlap; set individual images to H-Split / V-Split / Rotate.
3. Click **Optimize & Upload**.
**Batch (2+ files):**
1. Click **Upload** (top of the page) — a modal opens. Use **Choose
files** to select multiple EPUBs from your device.
2. Check **Optimize**.
- *(Optional)* Expand **Advanced Mode** — adjust quality.
3. Click **Upload** — all files are converted and uploaded sequentially.
Upload a batch of files, without optimization:
<img width="810" height="671" alt="image"
src="https://github.com/user-attachments/assets/d892ae13-0b87-4ea4-b6b8-340d56efc763"
/>
Batch file upload, with standard optimization:
<img width="809" height="707" alt="image"
src="https://github.com/user-attachments/assets/d32dbc88-1208-4555-bfcf-330ab91d2174"
/>
Optimization Phase (1/2):
<img width="807" height="1055" alt="image"
src="https://github.com/user-attachments/assets/fd4cd5f9-e56e-4ca1-9777-6926b9baf2bb"
/>
Upload Phase (2/2):
<img width="805" height="1065" alt="image"
src="https://github.com/user-attachments/assets/483294f0-02f0-4569-ae11-c10b3581d747"
/>
Batch upload successfully confirmed:
<img width="812" height="1043" alt="image"
src="https://github.com/user-attachments/assets/80c135bf-05c3-4c80-8755-2a04c68235bc"
/>
---
## Options
**Always active when the converter is enabled:**
- Converts PNG, WebP, BMP, GIF → baseline JPEG
- Smart downscaling to 480×800 px max (preserves aspect ratio)
- True grayscale for e-ink (BT.709 luminance, always on)
- SVG cover fix + OPF/NCX compliance repairs
**Advanced Mode (opt-in) — single file:**
- JPEG quality presets: 30% / 45% / 60% / 75% / **85%** (default) / 95%
- Rotation direction for split images: CW (default) / CCW
- Min overlap when splitting: 5% (default) / 10% / 15%
- Auto-download conversion log toggle (detailed stats per image)
- Per-image picker: set Normal / H-Split / V-Split / Rotate per image
individually,
with "Apply to all" for bulk assignment
**Advanced Mode (opt-in) — batch (2+ files):**
- JPEG quality presets: 30% / 45% / 60% / 75% / **85%** (default) / 95%
- Auto-download conversion log toggle (aggregated stats for all files)
---
## ⚠️ Known limitations
**KoReader hash-based sync will break** for converted files. The file
content changes,
so the hash no longer matches the original. Filename-based sync is
unaffected.
If you rely on KoReader hash sync, use the Calibre plugin or the web
tool instead.
---
## Build size impact
| Metric | master (a01bb29) | PR #1224 (a2ba5db) | Delta |
|---------------|------------------|--------------------|----------------|
| Flash used | 5,557 KB | 5,616 KB | +59 KB (+1.1%) |
| Flash free | 843 KB | 784 KB | −59 KB |
| Flash usage | 86.8% | 87.7% | +0.9 pp |
| RAM used | 95,156 B | 95,156 B | no change |
> Both builds compiled with `gh_release` environment in release mode
(ESP32-C3, 6,400 KB Flash).
> The +59 KB increase is entirely due to `jszip.min.js` embedded as a
> gzipped static asset served from Flash. RAM usage is identical,
> confirming no runtime overhead — the library runs in the browser,
> not on the ESP32. ~784 KB of Flash remain available.
---
## Alternatives considered
| Approach | Friction |
|----------|---------|
| **This PR** — integrated in upload flow | Zero: convert + upload in
one step, offline, any browser |
| Calibre plugin (in parallel development) | Requires a computer with
Calibre installed, same network |
| Web converters | Requires extra upload / download / transfer steps |
---
## Credits
Based on the converter algorithm developed by @zgredex.
Co-authored-by: @zgredex
---
### AI Usage
Did you use AI tools to help write this code? **PARTIALLY**
---------
Co-authored-by: zgredex <zgredex@users.noreply.github.com>
## Summary
* **What is the goal of this PR?** Add setting to display hidden files /
directories in filebrowser / web file browser
* **What changes are included?**
## Additional Context
-
---
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? _**< NO >**_
## Summary
**What is the goal of this PR?**
This change avoids the pattern of creating a `std::string` using
`.substr` in order to compare against a file extension literal.
```c++
std::string path;
if (path.length() >= 4 && path.substr(path.length() - 4) == ".ext")
```
The `checkFileExtension` utility has moved from StringUtils to
FsHelpers, to be available to code in lib/. The signature now accepts a
`std::string_view` instead of `std::string`, which makes the single
implementation reusable for Arduino `String`.
Added utility functions for commonly repeated extensions.
These changes **save about 2 KB of flash (5,999,427 to 5,997,343)**.
---
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? _**NO**_
## Summary
* **What is the goal of this PR?** Eliminate the 3-file / 4-location
overhead for adding a new setting. Previously, every new setting
required manually editing JsonSettingsIO.cpp in two places (save +
load), duplicating knowledge already present in SettingsList.h. After
this PR, JsonSettingsIO.cpp never needs to be touched again for standard
settings.
* **What changes are included?**
* `SettingInfo` (in `SettingsActivity.h`) gains one new field: `bool
obfuscated` (base64 save/load for passwords), with a fluent builder
method `.withObfuscated()`. The previously proposed
`defaultValue`/`withDefault()` approach was dropped in favour of reading
the struct field's own initializer value as the fallback (see below).
* `SettingsList.h` entries are annotated with `.withObfuscated()` on the
OPDS password entry. The list is now returned as a `static const`
singleton (`const std::vector<SettingInfo>&`), so it is constructed
exactly once. A missing `key`/`category` on the
`statusBarProgressBarThickness` entry was also fixed — it was previously
skipped by the generic save loop, so changes were silently lost on
restart.
* `JsonSettingsIO::saveSettings` and `loadSettings` replace their ~90
lines of manual per-field code with a single generic loop over
`getSettingsList()`. The loop uses `info.key`,
`info.valuePtr`/`info.stringOffset`+`info.stringMaxLen` (for char-array
string fields), `info.enumValues.size()` (for enum clamping), and
`info.obfuscated`.
* **Default values**: instead of a duplicated `defaultValue` field in
`SettingInfo`, `loadSettings` reads `s.*(info.valuePtr)` *before*
overwriting it. Because `CrossPointSettings` is default-constructed
before `loadSettings` is called, this captures each field's struct
initializer value as the JSON-absent fallback. The single source of
truth for defaults is `CrossPointSettings.h`.
* One post-loop special case remains explicitly: the four `frontButton*`
remap fields (managed by the RemapFrontButtons sub-activity, not in
SettingsList) and `validateFrontButtonMapping()`.
* One pre-loop migration guard handles legacy settings files that
predate the status bar refactor: if `statusBarChapterPageCount` is
absent from the JSON, `applyLegacyStatusBarSettings()` is called first
so the generic loop picks up the migrated values as defaults and applies
its normal clamping.
* OPDS password backward-compat migration (plain `opdsPassword` →
obfuscated `opdsPassword_obf`) is preserved inside the generic
obfuscated-string path.
## Additional Context
Say we want to add a new `bookmarkStyle` enum setting with options
`DOT`, `LINE`, `NONE` and a default of `DOT`:
1. `src/CrossPointSettings.h` — add enum and member:
```cpp
enum BOOKMARK_STYLE { BOOKMARK_DOT = 0, BOOKMARK_LINE = 1, BOOKMARK_NONE = 2 };
uint8_t bookmarkStyle = BOOKMARK_DOT;
```
2. `lib/I18n/translations/english.yaml` — add display strings:
```yaml
STR_BOOKMARK_STYLE: "Bookmark Style"
STR_BOOKMARK_DOT: "Dot"
STR_BOOKMARK_LINE: "Line"
```
(Other language files will fall back to English if not translated. Run
`gen_i18n.py` to regenerate `I18nKeys.h`.)
3. `src/SettingsList.h` — add one entry in the appropriate category:
```cpp
SettingInfo::Enum(StrId::STR_BOOKMARK_STYLE, &CrossPointSettings::bookmarkStyle,
{StrId::STR_BOOKMARK_DOT, StrId::STR_BOOKMARK_LINE, StrId::STR_NONE_OPT},
"bookmarkStyle", StrId::STR_CAT_READER),
```
That's it — no default annotation needed anywhere, because
`bookmarkStyle = BOOKMARK_DOT` in the struct already provides the
fallback. The setting will automatically persist to JSON on save, load
with clamping on boot, appear in the device settings UI under the Reader
category, and be exposed via the web API — all with no further changes.
---
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? _**< PARTIALLY>**_
## Summary
Ref:
https://github.com/crosspoint-reader/crosspoint-reader/pull/1047#discussion_r2838439305
To reproduce:
1. Open file transfer
2. Join a network
3. Once it's connected, press (hold) back
---
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? **NO**
## Summary
- Upgrade platform from espressif32 6.12.0 (Arduino Core 2.0.17) to
pioarduino 55.03.37 (Arduino Core 3.3.7, ESP-IDF 5.5.2)
- Add WebDAV Class 1 server (RFC 4918) - SD card can be mounted as a
network drive
- I also slightly fixed the SDK and also made a [pull request
](https://github.com/open-x4-epaper/community-sdk/pull/21)
First PR #1030 (was closed because the implementation was based on an
old version of the libraries)
Issue #439
---------
Co-authored-by: Dave Allie <dave@daveallie.com>
## Summary
* **What is the goal of this PR?** Enhances the file manager with
multi-select deletion functionality and improved UI formatting.
* **What changes are included?**
* Added multi-select capability for file deletion in the web interface
* Fixed formatting issues in file table for folder rows
* Updated [.gitignore] to exclude additional build artifacts and cache
files
* Refactored CrossPointWebServer.cpp to support batch file deletion
* Enhanced FilesPage.html with improved UI for file selection and
deletion
## Additional Context
* The file deletion endpoint now handles multiple files in a single
request, improving efficiency when removing multiple files
* Changes are focused on the web file manager component only
---
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? _**PARTIALLY**_
---------
Co-authored-by: Jessica Harrison <jessica.harrison@entelect.co.za>
Co-authored-by: Dave Allie <dave@daveallie.com>
## Summary
**What is the goal of this PR?**
This PR introduces Internationalization (i18n) support, enabling users
to switch the UI language dynamically.
**What changes are included?**
- Core Logic: Added I18n class (`lib/I18n/I18n.h/cpp`) to manage
language state and string retrieval.
- Data Structures:
- `lib/I18n/I18nStrings.h/cpp`: Static string arrays for each supported
language.
- `lib/I18n/I18nKeys.h`: Enum definitions for type-safe string access.
- `lib/I18n/translations.csv`: single source of truth.
- Documentation: Added `docs/i18n.md` detailing the workflow for
developers and translators.
- New Settings activity:
`src/activities/settings/LanguageSelectActivity.h/cpp`
## Additional Context
This implementation (building on concepts from #505) prioritizes
performance and memory efficiency.
The core approach is to store all localized strings for each language in
dedicated arrays and access them via enums. This provides O(1) access
with zero runtime overhead, and avoids the heap allocations, hashing,
and collision handling required by `std::map` or `std::unordered_map`.
The main trade-off is that enums and string arrays must remain perfectly
synchronized—any mismatch would result in incorrect strings being
displayed in the UI.
To eliminate this risk, I added a Python script that automatically
generates `I18nStrings.h/.cpp` and `I18nKeys.h` from a CSV file, which
will serve as the single source of truth for all translations. The full
design and workflow are documented in `docs/i18n.md`.
### Next Steps
- [x] Python script `generate_i18n.py` to auto-generate C++ files from
CSV
- [x] Populate translations.csv with initial translations.
Currently available translations: English, Español, Français, Deutsch,
Čeština, Português (Brasil), Русский, Svenska.
Thanks, community!
**Status:** EDIT: ready to be merged.
As a proof of concept, the SPANISH strings currently mirror the English
ones, but are fully uppercased.
---
### AI Usage
Did you use AI tools to help write this code? _**< PARTIALLY >**_
I used AI for the black work of replacing strings with I18n references
across the project, and for generating the documentation. EDIT: also
some help with merging changes from master.
---------
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: yeyeto2788 <juanernestobiondi@gmail.com>
## Summary
Pre-compress the HTML file to save flash space. I'm using `gzip` because
it's supported everywhere (indeed, we are using the same optimization on
[llama.cpp server](https://github.com/ggml-org/llama.cpp), our HTML page
is huge 😅 ).
This free up ~40KB flash space.
Some users suggested using `brotli` which is known to further reduce 20%
in size, but it doesn't supported by firefox (only supports if served
via HTTPS), and some reverse proxy like nginx doesn't support it out of
the box (unrelated in this context, but just mention for completeness)
```
PR:
RAM: [=== ] 31.0% (used 101700 bytes from 327680 bytes)
Flash: [==========] 95.5% (used 6259244 bytes from 6553600 bytes)
master:
RAM: [=== ] 31.0% (used 101700 bytes from 327680 bytes)
Flash: [==========] 96.2% (used 6302416 bytes from 6553600 bytes)
```
---
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? **PARTIALLY**, only the
python part
## Summary
* Definition and use of a central LOG function, that can later be
extended or completely be removed (for public use where debugging
information may not be required) to save flash by suppressing the
-DENABLE_SERIAL_LOG like in the slim branch
* **What changes are included?**
## Additional Context
* By using the central logger the usual:
```
#include <HardwareSerial.h>
...
Serial.printf("[%lu] [WCS] Obfuscating/deobfuscating %zu bytes\n", millis(), data.size());
```
would then become
```
#include <Logging.h>
...
LOG_DBG("WCS", "Obfuscating/deobfuscating %zu bytes", data.size());
```
You do have ``LOG_DBG`` for debug messages, ``LOG_ERR`` for error
messages and ``LOG_INF`` for informational messages. Depending on the
verbosity level defined (see below) soe of these message types will be
suppressed/not-compiled.
* The normal compilation (default) will create a firmware.elf file of
42.194.356 bytes, the same code via slim will create 42.024.048 bytes -
170.308 bytes less
* Firmware.bin : 6.469.984 bytes for default, 6.418.672 bytes for slim -
51.312 bytes less
### AI Usage
While CrossPoint doesn't have restrictions on AI tools in contributing,
please be transparent about their usage as it
helps set the right context for reviewers.
Did you use AI tools to help write this code? _NO_
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
jpirnay