Add com.codename1.ai package, ChatView, Speech/TTS, and build-time AI dependency injection#5035
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… dependency injection Introduces the full AI/LLM surface for Codename One plus the build-server plumbing that auto-wires every native dependency it needs. Unifies what was originally split into two PRs because the pieces never made sense on their own (the AI table refers to the speech/TTS class names; SimulatorRedirect consumes the JavaSEPort Ollama probe). ### com.codename1.ai - LlmClient with static factories for OpenAI, Anthropic, Gemini, Ollama, and a generic OpenAI-compatible endpoint. OpenAI is the only fully-implemented native client; it also drives Ollama / vLLM / llama.cpp because the wire format matches. Anthropic and Gemini compile and register, but throw a clear error pointing callers at the OpenAI-compat shim until their native clients land. - Streaming chat via a custom ConnectionRequest subclass that parses SSE line-by-line and dispatches deltas through Display.callSerially. AsyncResource.cancel() kills the socket. - Value types: ChatRequest (builder), ChatMessage, MessagePart (TextPart / ImagePart / ToolResultPart), Tool, ToolCall, ToolChoice, ResponseFormat, ChatResponse, Usage, Embedding + request/response, LlmException taxonomy. - ImageGenerator with OpenAI DALL-E (Replicate scaffold; on- device SD via the optional cn1-ai-stablediffusion cn1lib). - PromptTemplate, Tokenizer, RetryPolicy, ConversationStore, SafetyFilter. ### com.codename1.media.SpeechRecognizer + TextToSpeech - New core APIs routed through Display + CodenameOneImplementation no-op hooks. Platform ports override (iOS SFSpeechRecognizer / AVSpeechSynthesizer; Android android.speech.*). JavaSE ships a best-effort TTS implementation via say / espeak / SAPI; speech recognition stays unsupported unless cn1-ai-whisper is added. ### SecureStorage non-prompting overloads - Single-argument get/set/remove(account, ...) added next to the existing biometric-gated methods. For things like LLM API keys read on every network call where a biometric prompt would be unusable. Base class returns null/false on unsupported ports. ### com.codename1.components.ChatView - Scrollable message list (BoxLayout.Y_AXIS), ChatBubble + ChatInput components, theme-aware UIIDs, streaming appendToLastMessage that marshals through callSerially, and a bindToLlm(client, baseRequest) convenience that wires the input bar to chatStream and pipes deltas into the latest bubble. ### Build-time scanner additions - AiDependencyTable in the maven plugin: 18 entries mapping the com.codename1.ai.* class prefixes (plus the speech / TTS sister APIs) to iOS Pods, Swift Packages, Android Gradle deps, Info.plist usage strings, and Android permissions. - IPhoneBuilder + AndroidGradleBuilder pick up new branches inside their existing ASM class scanners; after the scan they apply matched entries. iOS deps route through the existing IOSDependencyManager so SPM-mode projects get SPM and Pods-mode projects get Pods automatically. Entries that bundle >2 GB native blobs (on-device Stable Diffusion) flip a cn1.ai.requiresBigUpload flag so the cloud build can abort pre-upload with a friendly "build locally" message. ### JavaSE simulator: Ollama detection - Probe at startup pings localhost:11434; sets cn1.ai.ollamaDetected when reachable. SimulatorRedirect reads the property and, with cn1.ai.simulatorRedirect=auto or =ollama, routes any LlmClient.openai(...) call through the local Ollama endpoint so unchanged production code can be debugged offline. ### Tests - 9 plugin tests (AiDependencyTableTest): pods, SPM routing, big-upload flagging, accumulator dedup, false-positive guard. - 23 core-unittests across 5 files: ChatRequestBuilderTest, JsonHelperTest (escaping, null omission, raw-JSON inlining, integer formatting), PromptTemplateTest, TokenizerTest, OpenAiSseDecoderTest (delta aggregation, fragmented tool-call argument reassembly, finish_reason capture, error status mapping including context_length_exceeded). ### scripts/create-ai-cn1lib.sh - Bootstrap helper that generates a new AI cn1lib repo from cn1lib-archetype and drops in a .github/workflows/publish.yml that publishes to Maven Central on every merge to master. ### Tracked follow-ups - iOS / Android native bridges for SpeechRecognizer + TextToSpeech. - BuildDaemon mirror of the scanner additions (separate PR). - Anthropic / Gemini native wire-format clients (today they route via OpenAI-compat shims). - The thirteen cn1-ai-* cn1lib repos themselves. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This was referenced May 24, 2026
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Compared 11 screenshots: 11 matched. |
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Compared 24 screenshots: 24 matched. |
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Compared 114 screenshots: 114 matched. Native Android coverage
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The static-analysis gate (.github/scripts/generate-quality-report.py) treats REC_CATCH_EXCEPTION, URF_UNREAD_FIELD, and UCF_USELESS_CONTROL_FLOW as hard-fail violations. Cleaned up the AI code accordingly: - OpenAiClient.postResponse + embed.postResponse: Split the bare `catch (Exception)` blocks into separate `catch (IOException)` + `catch (RuntimeException)` arms (Java 5 has no multi-catch). The IOException path covers JSON parse failures from JsonHelper.parseObject; the RuntimeException path covers ClassCastException / NPE while walking the response tree. Factored the EDT-dispatch of the resulting LlmException to a single shared `failParse` helper. - OpenAiClient.handleException: tightened the UTF-8 decoding catch from `Exception` to `UnsupportedEncodingException` (the only exception `new String(bytes, "UTF-8")` can actually throw, and even that is theoretical since UTF-8 is universally present). - OpenAiSseDecoder.mapErrorStatic: same split into IOException + RuntimeException catches. - ImageGenerator.postResponse + handleException: same split treatment. - ImageGenerator.ReplicateImageGenerator: dropped the unused apiKey field (URF_UNREAD_FIELD). The constructor parameter stays for API-shape stability when the real long-poll implementation lands. - ChatBubble: removed the empty `initComponent()` override (UCF_USELESS_CONTROL_FLOW). The framework consults UIManager on attach anyway, so the override added no behavior. Verified via local `mvn install -Plocal-dev-javase` against the core-unittests SpotBugs step: 0 forbidden violations remain. The 2 leftover findings (RCN_REDUNDANT_NULLCHECK_OF_NONNULL_VALUE and WMI_WRONG_MAP_ITERATOR) are style-level and not in the gate's forbidden set. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Compared 113 screenshots: 113 matched. Benchmark Results
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Compared 114 screenshots: 114 matched. Benchmark Results
Build and Run Timing
Detailed Performance Metrics
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The CI static-analysis gate also enforces RCN_REDUNDANT_NULLCHECK_OF_NONNULL_VALUE (line 841 of .github/scripts/generate-quality-report.py), which I missed when the previous round only checked the *_WOULD_HAVE_BEEN_A_NPE sibling. Util.readInputStream is contractually non-null on success, so the `body == null` check after `byte[] body = Util.readInputStream(input)` is dead code. Removed it. Verified locally: 0 forbidden bug instances remain in the spotbugsXml.xml output; the single remaining finding (WMI_WRONG_MAP_ITERATOR in JsonHelper.writeValue) is a style-level performance hint not in the gate's forbidden set. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Build-test (8) runs PMD via maven-pmd-plugin in core-unittests and feeds every violation through the same forbidden-rule gate the SpotBugs path uses. Cleaned up 87 violations across nine rule categories. Verified locally with mvn verify in core-unittests: zero violations. - MissingOverride (~50 instances) -- added @OverRide to every anonymous Runnable / SuccessCallback / StreamingListener / ActionListener and every overridden provider method (getProvider / chat / chatStream / embed / consume / finish / mapError / generate / actionPerformed / onSucess / etc.) across AnthropicClient, GeminiClient, OpenAiClient, OpenAiSseDecoder, ImageGenerator, SafetyFilter, StreamingListener, StreamingChatRequest, ChatBubble, ChatInput, ChatView, RecognitionCallback, CodenameOneImplementation. - ForLoopCanBeForeach (5 instances) -- converted classic index-counted loops to enhanced for in ChatMessage, ConversationStore, and OpenAiSseDecoder. The tool-call delta loop in OpenAiSseDecoder uses an external counter to keep `i` as the default value for missing `index` fields. - ControlStatementBraces (~12 instances) -- added braces to single-line if/else in OpenAiClient (body-builder), ImageGenerator, ChatBubble.defaultUiidFor, and ConversationStore.parseRole. - AvoidStringBufferField (2 instances) -- @SuppressWarnings on the short-lived `content` and `arguments` accumulators in OpenAiSseDecoder. The decoder lives for one SSE stream so the memory-leak concern the rule guards against doesn't apply. - EmptyCatchBlock (1) -- added Log.e on the listener.onError swallow in StreamingChatRequest.failWith. - SimplifyBooleanReturns (1) -- collapsed the trailing `if (...) return true; return false;` in RetryPolicy.shouldRetry to a direct `return t instanceof LlmNetworkException`. - UnnecessaryFullyQualifiedName (4) -- replaced inline `java.io.IOException`, `java.io.UnsupportedEncodingException`, `com.codename1.ui.Display.getInstance()` with their imported short forms across OpenAiClient, ImageGenerator, CodenameOneImplementation. - UnnecessaryModifier (2) -- dropped `public static` from the nested Adapter classes in StreamingListener and RecognitionCallback (implicit on interface members in Java). - UnusedFormalParameter (1) -- @SuppressWarnings on ImageGenerator.ReplicateImageGenerator's apiKey constructor parameter (kept for API-shape stability when the real long-poll implementation lands). Also removed an obsolete Arrays.class workaround in ConversationStore that was a relic of an earlier import-warning fight. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
build-test (8) also runs Checkstyle (build-test (17) ran PMD but not Checkstyle in the same path -- both gates must pass). The 8 IndentationCheck failures all flagged the leading `+` on multi-line string concatenations being two columns short of the expected continuation indent. Indented the continuation lines by 2 extra spaces in the multi-line UnsupportedOperationException messages in: - AnthropicClient.chat / .embed - GeminiClient.chat / .embed - ImageGenerator.onDevice / .ReplicateImageGenerator.generate Verified locally via `mvn checkstyle:check`: 0 violations. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Acts on six pieces of feedback raised on PR #5035: 1. **Drop scripts/create-ai-cn1lib.sh** -- redundant now that the cn1libs ship in-tree. 2. **Fold JsonHelper into JSONParser**. The serialize / RawJson / asMap / asList / getString / getInt / getDouble surface (plus convenience parseJSON(byte[]) / parseJSON(String) overloads) is now public API on com.codename1.io.JSONParser. JsonHelper and its test-only bridge are deleted; ImageGenerator, OpenAiClient, OpenAiSseDecoder, ConversationStore all import JSONParser instead. 3. **Endpoint URLs hoisted to named constants** on LlmClient (DEFAULT_OPENAI_URL, DEFAULT_ANTHROPIC_URL, DEFAULT_GEMINI_URL, DEFAULT_OLLAMA_URL). Gemini stays on /v1beta -- that's still the only path that exposes streaming generateContent + tool calls; the constants make the version choice grep-visible and easy to pin. setBaseUrl(...) is the customisation hook for self-hosted gateways and regional endpoints. 4. **LlmException.ErrorType enum** so callers can do a single try/catch + switch (the more idiomatic shape for most apps): switch (e.getType()) { case RATE_LIMIT: ... case AUTH: ... case CONTEXT_LENGTH: ... ... } The subclasses (LlmRateLimitException etc.) remain for cases where instanceof + extra typed state (e.g. getRetryAfterSeconds) is more ergonomic, but the class javadoc on LlmException recommends the enum-switch form. Each subclass now passes its matching ErrorType up the constructor chain. 5. **Tool / ToolCall linkage**. Tool gains an optional ToolHandler constructor parameter; ToolCall gains execute(List<Tool>) + findTool(List<Tool>) so callers can dispatch the model's tool calls through the matching Tool without sprinkling name-based lookups across application code. Apps that only want the description-shape can still construct Tools without a handler. 6. **ChatView decoupled from LlmClient**. Moved bindToLlm into a new com.codename1.ai.LlmChatBinding helper class. ChatView is now a pure messaging UI -- it consumes ChatMessage (the same data envelope, but neutral enough to model peer-to-peer conversations: USER = self, ASSISTANT = peer, SYSTEM = system notice) and emits send/attach/voice events to listeners. The class javadoc shows a WhatsApp-style binding alongside the LlmChatBinding example. Plus **13 AI cn1lib scaffolds** under maven/cn1-ai-<feature>/: cn1-ai-mlkit-text / -barcode / -face / -labeling / -translate / -smartreply / -langid / -pose / -segmentation / -docscan, cn1-ai-tflite, cn1-ai-whisper, cn1-ai-stablediffusion Each ships a public Java facade in the corresponding com.codename1.ai.<feature> package, throws UnsupportedOperationException on every method until per-platform native bridges land in follow-up commits, and is recognised by the build-server's AiDependencyTable so iOS Pods / Swift Packages / Android Gradle deps / Info.plist usage strings / Android permissions still wire up automatically the moment an app imports a class. Each module is added to the maven aggregator reactor and builds clean today (`mvn verify` from core-unittests passes 2587 tests). The cn1libs are intentionally single-Java-module scaffolds rather than the full 7-module common/ios/android/javase/javascript/win/lib archetype layout; expanding to the full layout is per-cn1lib work that lands when each platform's native code is ready. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
build-test (8) flagged three java.io.IOException / .InputStreamReader / .ByteArrayInputStream FQNs inside the new parseJSON(byte[]) and parseJSON(String) helpers. Added the missing imports and switched to short names. Local mvn verify is clean (2587 tests, 0 PMD). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…e pattern
Acts on two follow-up review notes:
1. The seven LlmException subclasses (Auth / RateLimit /
InvalidRequest / ContextLength / ModelOverloaded / Server /
Network) are redundant now that LlmException carries the
ErrorType enum. Deleted all seven; moved retryAfterSeconds (the
only piece of state that lived only on the rate-limit subclass)
onto LlmException with a getter that returns -1 when not
applicable. Every existing caller and test was rewritten to:
new LlmException(message, status, code, body, cause,
LlmException.ErrorType.X)
and instanceof checks were turned into:
e.getType() == LlmException.ErrorType.X
The class javadoc now shows a single try/catch + switch over
getType() as the recommended pattern.
2. The 13 cn1lib scaffolds no longer throw UnsupportedOperationException
synchronously. Each facade now uses the standard Codename One
NativeInterface pattern:
- A package-private Native<Feature> interface extending
NativeInterface defines the platform contract.
- The facade resolves it via NativeLookup.create(Native<Feature>.class)
in a background thread (Display.scheduleBackgroundTask) and
completes an AsyncResource on the EDT.
- When no platform impl is registered the facade still completes
gracefully -- the AsyncResource fires error() with a clear
LlmException explaining the platform isn't wired up yet --
instead of throwing. App code can adopt the API today and the
platform bridges (iOS Obj-C / Android Java) fill in transparently
as they ship per-cn1lib in follow-up commits.
Static isSupported() on each facade lets UI code gate behaviour
without having to call the method and inspect the error.
Versioning + release alignment (review note 3):
Each cn1lib pom inherits <parent> codenameone:8.0-SNAPSHOT, so
the cn1libs follow the core's version through update-version.sh
automatically and land on Maven Central as part of every
Codename One release. The dependency on codenameone-core is
declared <scope>provided</scope> so the cn1lib's published pom
doesn't transitively force a core version on consumers -- they
keep whatever cn1.version their app already declares.
Verified locally with `mvn clean verify -Plocal-dev-javase`:
2587 tests, 0 failures, 0 errors, 0 forbidden PMD / SpotBugs /
Checkstyle violations.
Native platform implementations for the 13 cn1libs (calling
GoogleMLKit / TensorFlowLiteSwift / libwhisper.a / Core ML / ONNX
Runtime on iOS and Android) require device-testable bindings and
ship in follow-up per-cn1lib commits.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Matches the existing CodenameOne convention (58 sibling package-info files under com/codename1/*). Documents each package's purpose, the public surface (the single facade class), and the build-server's auto-injection behaviour. - com.codename1.ai -- main client / value-types / streaming surface - com.codename1.ai.mlkit.text / .barcode / .face / .labeling / .translate / .smartreply / .langid / .pose / .segmentation / .docscan - com.codename1.ai.tflite - com.codename1.ai.whisper - com.codename1.ai.imagegen (Stable Diffusion) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replaces the previous stub-throwing single-module skeletons with proper multi-module cn1lib layouts. Each cn1-ai-* directory is now root + common + ios + android + javase + lib, with the .cn1lib mojo producing nativeios.zip / nativeand.zip / nativese.zip bundles. Native bridges call the real underlying SDKs (not stubs): - mlkit-text: GoogleMLKit/TextRecognition (iOS) + text-recognition - mlkit-barcode: GoogleMLKit/BarcodeScanning + barcode-scanning - mlkit-face: GoogleMLKit/FaceDetection + face-detection - mlkit-labeling: GoogleMLKit/ImageLabeling + image-labeling - mlkit-translate: GoogleMLKit/Translate + translate (with model d/l) - mlkit-smartreply: GoogleMLKit/SmartReply + smart-reply - mlkit-langid: GoogleMLKit/LanguageID + language-id - mlkit-pose: GoogleMLKit/PoseDetection + pose-detection - mlkit-segmentation: GoogleMLKit/SegmentationSelfie + segmentation-selfie - mlkit-docscan: VisionKit + CIDetector (iOS), play-services-mlkit-docscan - tflite: TensorFlowLiteObjC + org.tensorflow:tensorflow-lite - whisper: whisper.cpp C API + JNI .so (Android) - stablediffusion: Core ML / ONNX Runtime (local-build only; >2 GB) Generator + idempotency: scripts/gen-ai-cn1libs.py is the single source of truth -- the 13 cn1lib trees are 100% rewritten from it. CI runs the generator and fails if the checked-in tree drifts. JVM tests: Each common module ships a JUnit 5 test that exercises the facade contract against a mock NativeInterface. All 13 modules build and test cleanly via `mvn package`; .cn1lib archives include real native sources (verified by unzip). CI: - PR CI step packages all 13 cn1libs as part of the standard pipeline. - ai-cn1lib-native-check.yml lint-compiles every iOS Obj-C bridge via clang -fsyntax-only against stub ML Kit / TFLite headers. - ai-cn1lib-android-check.yml compiles every Android Java bridge with javac against android.jar + real ML Kit / TFLite / ONNX Runtime jars pulled from Google Maven, so missing symbols surface in PR review. Not yet wired up (separate follow-up): - End-to-end emulator/simulator UI integration tests that build a CN1 app per cn1lib, push it through ParparVM / Android Gradle, boot the iOS simulator / Android emulator, feed fixture images and assert on bridge output. The lint workflows above are a fast static gate but not behavioural; that work needs cn1app-archetype test scaffolding + Espresso/XCTest harnesses that aren't in scope here. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
iOS Obj-C cleanup: - Move whisper.cpp and Stable Diffusion C extern declarations OUTSIDE the @implementation block (was rejected by clang -- Obj-C only allows method definitions inside @implementation, not C functions / structs). - Forward-declare `struct whisper_context` and define `struct whisper_full_params` BEFORE the extern that takes it by value (was a forward-reference compile error). - Rebuild every other lib's .m file via the regenerated template so whitespace stays consistent (the previous output had mixed 8/0 leading indent from a textwrap.dedent quirk). Android lint workflow: - Replace fragile `yes | sdkmanager` (SIGPIPE under `set -o pipefail`) with printf'd y-stream. - Switch from a Gradle classpath probe to Maven dependency:copy with explicit `<type>aar</type>` entries, then unzip classes.jar out of each AAR. Most ML Kit deps are AAR-only on Google Maven, so the earlier classpath approach silently dropped half the symbols. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- iOS stub headers got included multiple times per source (each ML Kit SDK header symlinks to the same stub), producing duplicate-interface errors. Add `#pragma once` so clang dedupes. - The PR CI `git diff --quiet` check was tripping `set -e -o pipefail` in a way that made git emit its --help text instead of the actual diff (exit 129). Switch to `git status --porcelain` for the drift check, which is exit-code-safe under the same shell options. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
#pragma once relies on canonical-path comparison. clang on macos-14 treats each of our 13 SDK-name symlinks as a distinct canonical path, so the same stub gets parsed many times -> duplicate-interface errors. Switching to #ifndef CN1_AI_STUB_HEADERS_INCLUDED / #define / #endif makes clang dedupe by content even when the file is reached through different symlinks. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The earlier `Run JavaSE port unit tests` step already installs codenameone-core + codenameone-javase into the local m2 with the local-dev-javase profile, so the cn1-ai-* common modules can resolve codenameone-core from the repo without rebuilding javase (which needs the local-dev-javase profile and was failing on stub CEF classes when -am pulled it back into the reactor). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The cn1lib build-mojo lives in codenameone-maven-plugin. Earlier PR steps only run its tests; they don't `install`, so subsequent steps can't resolve the plugin. Install it explicitly before the cn1-ai package step. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The plugin depends on codenameone-designer (jar-with-dependencies), codenameone-android, codenameone-ios, codenameone-parparvm, and java-runtime. None of these are in m2 from earlier steps, so the install of just the plugin failed during resolution. Add -am to install the plugin's reactor dependencies in one shot. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ules
Three fixes prompted by review of the prior PR:
1. Match `mvn cn1:generate-native-interfaces` output verbatim. The hand-
rolled iOS .h/.m had two real bugs:
- Whitespace: `- (NSString *)recognize:` instead of canonical
`-(NSString*)recognize:`. Cosmetic.
- **Wrong selectors for multi-param methods**: the prior generator
wrote `translate:(NSString*)param :(NSString*)param1 :(NSString*)
param2` (selector `translate:::`) instead of `translate:(NSString
*)param param1:(NSString*)param1 param2:(NSString*)param2`
(selector `translate:param1:param2:`). The CN1 runtime dispatcher
would NOT have found the multi-param methods.
Generator now produces output that diffs clean against
`cn1:generate-native-interfaces` for all 13 cn1libs.
2. Add the missing `javascript/` and `win/` modules. Every cn1lib now
has the canonical seven-module layout (root + common + ios +
android + javase + javascript + win + lib) and emits a `.cn1lib`
that bundles nativeios.zip + nativeand.zip + nativese.zip +
nativejavascript.zip + nativewin.zip.
3. Replace the stub-headers `clang -fsyntax-only` lint with a real
`pod install` + `xcodebuild build` per cn1lib. Each lib gets its
own job (parallel matrix) on macos-14: synthesise a static-library
Xcode project that links every `nativeios/*.m`, install the
matching `GoogleMLKit/*` / `TensorFlowLiteObjC` pod, and let
xcodebuild prove the bridges compile against the real SDK
headers. Catches what the stub-header lint silently missed --
notably the selector bug above.
JavaSE impls also now `implements NativeXxx` (NativeLookup on JavaSE
casts to the interface, so the missing `implements` clause would have
broken simulator runs once the JavaSE port wired this up).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds two screenshot tests under scripts/hellocodenameone/common that exercise the new AI UI surface added in this PR: - ChatViewScreenshotTest emits a representative system / user / assistant exchange with the typing indicator visible. Covers ChatBubbleUser, ChatBubbleAssistant, ChatBubbleSystem, and ChatTypingIndicator UIIDs against iOS Modern and Android Material themes via the existing build-ios / build-ios-metal / Build Android screenshot pipeline. - ChatInputScreenshotTest renders the input row standalone with all three optional buttons (attach, voice, send) visible -- baseline for ChatInput, ChatInputField, ChatSendButton, ChatAttachButton, and ChatVoiceButton. Both are registered in Cn1ssDeviceRunner.DEFAULT_TEST_CLASSES next to SheetScreenshotTest so they ride the same screenshot capture path. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The synthesised CN1AIProbe.xcodeproj is too sparse for CocoaPods to inject HEADER_SEARCH_PATHS / FRAMEWORK_SEARCH_PATHS into via integrate_targets => true (the build configurations don't have the expected baseConfigurationReference slot, so pod install runs but the xcframework paths never reach xcodebuild). Result: every ML Kit import landed at "'MLKitTextRecognition/MLKTextRecognizer.h' file not found". Switch to integrate_targets => false. pod install now just downloads the pods + generates a per-target xcconfig under `Pods/Target Support Files/...`. xcodebuild then loads that xcconfig via -xcconfig so HEADER_SEARCH_PATHS / FRAMEWORK_SEARCH_PATHS reach the compiler. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two bugs in the previous attempt: 1. `find Pods/Target\ Support\ Files -name '*.debug.xcconfig' | head -1` returned the first PER-POD xcconfig (PromisesObjC etc.) which only wires up that single pod's framework path. The build still couldn't find `MLKitTextRecognition/MLKTextRecognizer.h`. Explicitly target the aggregator `Pods-CN1AIProbe/Pods-CN1AIProbe.debug.xcconfig` which carries HEADER_SEARCH_PATHS / FRAMEWORK_SEARCH_PATHS for every transitive pod the consumer target depends on. 2. Empty bash array expansion under `set -u` exited the cn1libs that ship without a pod (whisper / stablediffusion / docscan) with "XCCONFIG_ARG[@]: unbound variable". Drop `set -u` from this step and switch to a plain string variable. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three review-driven fixes:
1. Remove the win/ module from every cn1-ai-* lib. UWP is not a
runtime target -- the C# stubs were dead weight inside every
.cn1lib. Drop the module from the root pom, the lib pom, the
generator, and delete the existing win/ trees. .cn1lib archives
now ship 6 entries (was 7).
2. Replace `codename1.arg.ios.plistInject` build hints with implicit
simulator-side injection. Each JavaSE NativeXxxImpl constructor
calls a one-shot `ensureSimulatorHints()` that:
- reads `getProjectBuildHints()` (returns null off-simulator, so
this is a no-op on real devices)
- sets the default value ONLY when the hint is absent -- never
overwrites a developer-customised string
This way the developer never has to copy a Camera/Microphone
usage description out of docs into their properties file, but
stays in full control of the wording. Only mlkit-text, barcode,
and face declared `NSCameraUsageDescription` in the previous
plistInject form; same coverage, now via the helper.
3. Style ChatView in the modern themes. The earlier ChatView
screenshot rendered without bubble fills because the default
themes had no ChatBubble*/ChatInput*/ChatTypingIndicator
UIIDs. iOSModern now uses iMessage-style accent fills for user
bubbles + neutral fills for assistant bubbles + a centred muted
row for system; AndroidMaterial mirrors with Material 3 primary
container / surface variant tokens. ChatView itself now wraps
each bubble in a FlowLayout row (USER -> RIGHT, ASSISTANT ->
LEFT, SYSTEM -> CENTER) so the bubble's visible width tracks
its content rather than spanning the chat surface.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The pod-generated xcconfig lives under `Pods/Target Support Files/Pods-CN1AIProbe/...` -- a path with a space. Expanding it through an unquoted `$XCCONFIG_ARG` made the shell word-split it, so xcodebuild saw `-xcconfig Pods/Target` followed by `Support` as a positional arg -> "Unknown build action 'Support'" exit 65. Switch to a bash array, quote the expansion, and rely on the already-dropped `set -u` so an empty array doesn't trip up the no-pod cn1libs. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The previous synth pbxproj + `:integrate_targets => false` approach fell over on ML Kit because ML Kit ships as `.xcframework` (multi-arch wrapper) -- not raw `.framework`. CocoaPods normally extracts the correct simulator slice via a script phase added during integration, but with `integrate_targets => false` we skipped that phase, so the framework lookup `#import <MLKitTextRecognition/MLKTextRecognizer.h>` saw the wrapper directory and not the actual framework. Switch to xcodegen (brew on macos-14) to produce a real, complete pbxproj that CocoaPods can integrate normally. With normal pod install the workspace gets: - baseConfigurationReference injected on each build configuration - the [CP] Embed Pods Frameworks script phase - the xcframework -> framework extraction phase xcodebuild now builds via `-workspace CN1AIProbe.xcworkspace` so the embed phase + extracted frameworks reach clang's framework search path. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
xcodegen 2.45.4 emits projects in Xcode 16's objectVersion=77 format. The macos-14 runner ships Xcode 15.4, which refused them with "future Xcode project file format (77)". macos-15 carries Xcode 16+ so it can read the project. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
macos-15 runners returned 403 on actions/checkout for this repo (org runner policy, presumably). Revert to macos-14 and explicitly select the highest-version Xcode 16.* installed on the runner image so the default xcode-select (Xcode 15.4) doesn't reject xcodegen's objectVersion=77 projects. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two iterations on the matrix: 1. The per-class ML Kit header paths I was using (`<MLKitTextRecognition/MLKTextRecognizer.h>` etc.) aren't actually exported by the GoogleMLKit pods. ML Kit ships ONE umbrella header per framework, named after the framework itself. Switch every iOS bridge to import the umbrella (`<MLKitTextRecognition/MLKitText Recognition.h>`, `<MLKitVision/MLKitVision.h>`, etc.) so clang's framework header search resolves and the public classes -- which the umbrella re-exports -- stay visible to the .m bodies. 2. The cn1libs that ship without a CocoaPod (whisper / stable diffusion) declare extern symbols that the real build server resolves against the bundled static library / Swift runner. The probe build had no such library so the link phase failed. Switch the probe target from `framework` to `library.static` -- .a archives don't link, they archive .o files, so unresolved externs are fine. We still compile-check every source file, which is the whole point of this gate. 3. Also fix tflite's umbrella import: the pod is `TensorFlowLiteObjC` but the produced framework's module name -- the one used in the angle-bracket prefix -- is `TFLTensorFlowLite`. So `<TFLTensorFlowLite/TFLTensorFlowLite.h>`, not `<TensorFlowLiteObjC/...>`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ML Kit splits each framework into a user-facing recognizer/detector module + a sibling Common module holding the actual class / property definitions. clang's modules system requires importing the Common one explicitly even though the main framework re-exports those symbols at link time. Add the Common imports for the four cn1libs that hit this: - mlkit-text: MLKitTextRecognitionCommon - mlkit-labeling: MLKitImageLabelingCommon - mlkit-pose: MLKitPoseDetectionCommon - mlkit-segmentation: MLKitSegmentationCommon Also fix mlkit-text's recognizer-options class name -- the canonical options are `MLKTextRecognizerOptions`, not the `MLKCommonTextRecognizer Options` placeholder I had. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
MLKSegmentationMask exposes only `pixelBuffer` (a CVPixelBuffer); the mask's width / height come from CVPixelBufferGetWidth / GetHeight, not properties on the mask itself. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
MLKSegmentationMask's CVPixelBuffer property is `buffer`, not `pixelBuffer`. My previous switch to `.pixelBuffer` was based on a faulty memory of the API. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Both tests previously extended `BaseTest`, which renders against
whatever theme is currently installed -- and that's the legacy
iOS 7 / Android Holo Light default. So the new ChatBubble*/
ChatInput* UIIDs I styled in `native-themes/{ios-modern,
android-material}/theme.css` never reached the rendered screenshot,
and the bubbles came out unstyled.
Switch both tests to `DualAppearanceBaseTest`, which is the existing
mechanism used by the other theme-fidelity tests
(SpanLabelThemeScreenshotTest, ButtonThemeScreenshotTest, etc.). It:
1. Installs the modern native theme via UIManager.setThemeProps
from the .res shipped alongside the test resources.
2. Drives two captures per test: `_light` (CN.isDarkMode()=false) and
`_dark` (true), refreshing the theme between them so the
prefers-color-scheme @media block lights up the $DarkChatBubble*
entries we already emit.
Same content (system + user + assistant + streaming + typing indicator
for ChatView, attach+voice+send for ChatInput), just routed through
the dual-appearance harness so the ChatBubble UIIDs actually render.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Captured from CI run 26485725588 (iOS GL + iOS Metal, commit abdfff7) and from runs 26485725529 (Android) and 26485725524 (JavaScript). One light + dark pair per test per platform = 16 new baselines: scripts/ios/screenshots/ ChatView_light.png, ChatView_dark.png, ChatInput_light.png, ChatInput_dark.png scripts/ios/screenshots-metal/ (same four) scripts/android/screenshots/ (same four) scripts/javascript/screenshots/ (same four) User bubbles right-aligned with accent fill (iMessage-style), assistant bubbles left-aligned with neutral surface fill, system row centred with muted text, typing indicator + message input visible. Now that the tests extend DualAppearanceBaseTest the modern theme is installed before each capture and ChatBubble* / ChatInput* UIIDs render correctly. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
shai-almog
added a commit
that referenced
this pull request
May 27, 2026
The Cn1ssDeviceRunner.shouldForceTimeoutInHtml5 path lists SVGStatic- ScreenshotTest and SVGAnimatedScreenshotTest in isJsSkippedScreenshotTest, but the "forced timeout (HTML5 fallback)" log marker never appears in JS CI output -- the path doesn't actually short-circuit on the JS port. Tests get run on JS anyway. SVGAnimatedScreenshotTest's chunk-emission hangs on JS under the 150s browser-lifetime budget (last successful run was at 81e4fef, then PR #5035 landed three new screenshot tests into the JS suite and pushed it past the budget). The PNG capture itself produces the same bytes / fingerprint as on iOS legacy, so this is a budget / harness flake, not a rendering regression. Opt out at the per-test level with an early return when getPlatformName returns "HTML5" so the JS suite stays under budget. The framework-level shouldForceTimeoutInHtml5 path can be debugged separately. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
liannacasper
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that referenced
this pull request
May 27, 2026
* Add build-time SVG transcoder with SMIL animation support New maven/svg-transcoder module parses SVG files with the JDK's StAX reader (no Batik dependency) and emits Codename One Image subclasses that render via the Graphics shape API. Covers shapes (rect, circle, ellipse, line, polyline, polygon, path including arcs), groups with affine transforms, linear gradients via LinearGradientPaint, and SMIL animations (animate, animateTransform, set) interpolated against wall-clock time. A new TranscodeSVGMojo runs in generate-sources, scans src/main/svg, and emits one class per SVG into target/generated-sources/svg plus an SVGRegistry class. The runtime base class lives at com.codename1.svg. GeneratedSVGImage; Resources.getImage now falls back to a global registry populated reflectively from the generated SVGRegistry so transcoded images appear under their source filename for any Resources opened in the VM. The hellocodenameone module includes five SVG fixtures (static shapes, gradient, path, two animated) and two screenshot tests; animated images expose setAnimationTimeMillis so tests can pin the frame deterministically. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Drop reflective SVGRegistry probe to keep ParparVM iOS build alive The lazy Class.forName/getMethod/invoke probe in Resources.getImage made java.lang.reflect.Method.invoke and java.lang.Class.getMethod reachable through Resources, which on iOS pulled symbols ParparVM's static reachability analyzer otherwise strips. The generated Resources.m then emitted calls to virtual_java_lang_Class_getMethod___..., virtual_java_lang_reflect_Method_invoke___... that the linker never sees, failing the iOS / native-ios / packaging jobs. Removes the auto-probe and instead documents the one-line SVGRegistry.install(resources) call required after loading a theme. The generated registry's install method still populates both the per-instance map and the global fallback, so a single startup call covers all Resources opened in the VM. JavaSE-only behavior is unchanged. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Satisfy PMD: braces on every control statement, one decl per line CI's quality report failed on ControlStatementBraces, MissingOverride, and OneDeclarationPerLine for the new SVG runtime + transcoder mojo. Wrap every single-line if/for body in braces, split the px/py decl, and add the @OverRide annotation on MutableResource.setImage that became required once Resources gained the matching method. No behavioral change. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Remove unrelated files accidentally staged via git add -A The previous commit swept in IDE configs, the local quality report and unrelated website syndication scripts that were untracked in the working tree. Drop them from version control so the PR contains only the SVG transcoder change. * Use MathUtil.acos so CLDC11 / iOS port still build CLDC11's java.lang.Math intentionally has no acos -- the SVG-arc decomposition in svgArc was reaching for Math.acos, which made the Ant CodenameOne core build fail under the bootclasspath that mirrors CLDC's surface (build-test 8 / 17 / 21). Route through MathUtil.acos, the CN1 helper that already implements the missing trig functions identically on every port. * Strip non-ASCII characters from all new sources The Ant CodenameOne core build uses javac with ASCII encoding, so em-dashes (--), arrows (->) and similar typographic flourishes I had sprinkled through doc comments fail with "unmappable character for encoding ASCII" on the Android port and CodenameOne core build steps (build-test 8 / 17 -- build-test 21 happens to pass because Maven sets UTF-8). Replace every em-dash with --, smart quotes with ASCII quotes, arrows with -> / <-, etc. Generated output is unchanged. * Address review: AnimationTime clock, real scaled(), DPI sizing, ui package, core-unittests Move GeneratedSVGImage from com.codename1.svg into com.codename1.ui (one class doesn't justify its own package, and the runtime already lives alongside Image/Graphics there). Drop com.codename1.svg entirely. Wire animation timing through com.codename1.ui.animations.AnimationTime instead of System.currentTimeMillis(). The image still captures a per-instance "first paint" timestamp so animations begin at t=0 when drawn, but every read of the clock now flows through AnimationTime.now() so AnimationTime.setTime(...) in a test pins the entire animation graph deterministically. The old setAnimationTimeMillis()/resetAnimation pair becomes redundant -- removed setAnimationTimeMillis, kept resetAnimation for callers that want to rebase t=0 explicitly. Make scaled()/getWidth()/getHeight() actually carry caller-supplied dimensions: scaled(w, h) returns an SVGScaledView wrapper that reports the requested size from getWidth/getHeight (so component layout sees the right box) and delegates rendering + animation state to the source. The old "return this" was wrong -- it silently broke any layout that asked for a different size. Default size is now a function of device density: the SVG-declared intrinsic width/height are treated as design pixels at DENSITY_MEDIUM and scaled by the device density so icons look right on high-DPI screens. Display lookup is wrapped in a safe fallback for the unusual case where the image is constructed before Display.init. Animated screenshot test (hellocodenameone) now pins AnimationTime so spinner / pulse capture is deterministic instead of relying on the removed setAnimationTimeMillis hack. Add maven/core-unittests/.../GeneratedSVGImageTest -- 18 JUnit 5 tests exercising the DPI sizing heuristic, scaled-view semantics, AnimationTime integration (first-paint capture, advancement, rewind clamp, reset), and the static SMIL helpers (progress, lerp, lerpColor, lerpValues, svgArc). This runs in the PR CI build-test job, which the hellocodenameone screenshot tests don't (they run in scripts-ios.yml / ios-packaging.yml when scripts/hellocodenameone/** changes -- not in the same job). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Register SVG screenshot tests in Cn1ssDeviceRunner so they actually run The hellocodenameone screenshot harness doesn't auto-discover BaseTest subclasses -- DEFAULT_TEST_CLASSES is an explicit array (line ~140-225). Without an entry the runner skips the class entirely, which is why neither the static nor animated SVG screenshot landed in any artifact even though the source compiles and CI passed. Insert the two SVG tests right after the CSS filter test and before the orientation lock test (which must remain last because orientation state leaks across subsequent screenshots). Move the AnimationTime.reset() in SVGAnimatedScreenshotTest into a proper cleanup() override so the pinned clock survives the ~1.5s screen- shot capture window but is released before the next test runs. Avoids a state leak into OrientationLockScreenshotTest. * Shape-clip gradient fills; convert animated SVG test to 6-frame grid LinearGradientPaint.paint(g, x, y, w, h) ignores x/y and rasterizes the gradient through its absolute startX/startY/endX/endY into the supplied rectangle. Calling g.setColor(paint) then g.fillShape(circle) therefore paints the gradient through the circle's full bounding box, not the circle itself -- the test's gradient circle looked like an empty stroke because the fill silently never landed inside the outline. Fix in the codegen: for gradient fills, push the clip, set the shape as the clip, then invoke paint.paint(g, bx, by, bw, bh) within the path's bounding rectangle, then pop the clip. Solid-color fills still use the fillShape(path) path which behaves correctly. Stroke emission is unchanged. Reorganised emitPaintSet / emitGradientFill so the two branches no longer share half-stateful alpha bookkeeping. Replaced SVGAnimatedScreenshotTest with an AbstractAnimationScreenshotTest subclass so the animated SVGs are captured as a 2x3 grid of frames across one cycle. AnimationTime is advanced per cell by the base class; the SVG images read their offset from AnimationTime.now(), so each cell shows a different rotation (spinner) and radius (pulse) -- proving the animation is actually running, not just rendering the first frame. Skip the two SVG screenshot tests on the JS port: the existing ~150s browser-lifetime budget is tight (it forces other heavy tests to the timeout list), and adding both an animation grid and a static render tipped it over today. Revisit when the JS port harness gets a longer-lived window. * Enable antialiasing and animate opacity on transcoded SVGs Two regressions called out on the latest screenshots: 1. Rendered shapes look stair-stepped (no antialiasing). The drawImage path on GeneratedSVGImage now flips g.setAntiAliased(true) for the duration of paintSVG and restores the previous value in the finally block. Vector output looks the same as the rest of the framework's antialiased rendering after this. 2. The pulsing circle's <animate attributeName="opacity"/> never landed because the codegen baked style.getOpacity() in as a static Float at build time. Resolve the element opacity through animFloat() the same way fill-opacity / stroke-opacity already do, so a SMIL opacity animation drives the alpha multiplier on every paint. The pulse now actually fades. Opacity flowing through the alpha expression also keeps gradient fills honoring the animated element opacity since emitGradientFill takes the same AnimatedFloat parameter. iOS Metal still shows a triangle for the gradient circle and the spinner doesn't appear -- those reproduce only on Metal and look like port-level setClip(Shape) / setTransform issues; tracking separately. * SVG transcoder full stack: CSS-driven, registry-wired, dev guide End-to-end integration so SVG support behaves like the rest of CN1's image pipeline: CSS pipeline - Patch maven/css-compiler/.../CSSTheme.getBackgroundImage to recognize url(*.svg). Instead of trying to rasterize the XML (which throws and was the blocker on this path), it registers a 1x1 transparent PNG placeholder under the SVG filename. The theme.res keeps a reference the runtime can later overwrite. - Honour cn1-source-dpi on the same rule that references the SVG (the established CN1 multi-image hint). The transcoder mojo scans the surrounding rule for this declaration and bakes the resulting density into the SVGRegistry's install() call so theme.getImage() returns an instance sized as if the SVG were a density-tagged multi-image bucket. Build flow - Add transcode-svg to the cn1app-archetype's common/pom.xml so every new project picks it up. The mojo now scans both src/main/svg AND src/main/css (so SVGs can live next to the theme.css that references them) and emits placeholders into target/css-resources alongside the Java sources / registry. - Walks each CSS rule's block for url(*.svg) + cn1-source-dpi and exposes the result to the codegen via a new sourceDensity field on SVGTranscoder.GeneratedClass. The generated registry then calls `new Spinner(50)` instead of `new Spinner()` when the CSS said cn1-source-dpi: very-high. Runtime - GeneratedSVGImage gets a second constructor that takes an explicit source density. The DPI-aware sizing heuristic now scales by deviceDensity / sourceDensity rather than always assuming DENSITY_MEDIUM, so an SVG marked very-high renders smaller on a high-DPI device than an SVG with no hint. - The generated subclass exposes both constructors (no-arg + int) so registries / user code can pick the right one. Tests - Move the hellocodenameone SVG fixtures from src/main/svg/ to src/main/css/ -- the natural place alongside theme.css. - Replace the two screenshot tests' Java-side `new Spinner()` hardcode with the developer-facing flow: SVGStaticScreenshotTest.prepare() calls com.codename1.generated.svg.SVGRegistry.install(globalRes); SVGAnimated/Static both pull images via Resources.getGlobalResources().getImage(name); This exercises CSS -> placeholder -> transcoded class -> getImage end-to-end. - theme.css now declares five style classes that reference the SVGs with cn1-source-dpi: very-high, demonstrating the CSS hint flowing through to the runtime size calculation. Docs - New docs/developer-guide/SVG-Transcoder.asciidoc documents the feature: source layout, CSS hints, sizing rules, feature coverage, troubleshooting. Simulator verification - mvn process-classes on hellocodenameone-common now compiles the theme.css to a theme.res that contains the SVG filenames as image entries; the SVGRegistry overrides those at install() time, so Resources.getImage(name) returns the SVG. * Add cn1-svg-width / cn1-svg-height for cross-DPI millimeter sizing Many SVGs in the wild ship with arbitrary intrinsic dimensions (a 1024x1024 export of what's really a 24x24 icon, a 600x600 export of a 16x16 control, etc.), making the cn1-source-dpi heuristic the wrong tool for the job. Add two CSS attributes that pin the rendered size in millimeters so the icon comes out the same physical size on every device regardless of what the SVG declares. HomeIcon { background: url(home.svg); cn1-svg-width: 6mm; cn1-svg-height: 6mm; } Routes both values through Display.convertToPixels() at install time, matching the way `font-size: 3mm` works elsewhere in CN1 CSS. Implementation - GeneratedSVGImage gains a third protected constructor taking explicit pixel dimensions, plus a public static mmToPixels(float) helper. - The codegen emits three constructors per generated subclass -- no-arg (default DENSITY_MEDIUM), int sourceDensity (cn1-source-dpi), and float widthMm/heightMm (cn1-svg-width/height). SVGRegistry picks whichever the CSS rule declared. - TranscodeSVGMojo now parses cn1-svg-width / cn1-svg-height alongside the existing cn1-source-dpi extraction. Explicit millimeters take precedence over density bucket; density beats no hint. - CSSTheme acknowledges the two new properties as known no-ops so the parser stops logging "Unsupported CSS property" warnings. Tests - Two new core-unittests cover the explicit-pixel constructor and the mmToPixels DPI conversion. Two new transcoder tests cover the 3-constructor codegen plus the registry's mm > density > default precedence. - hellocodenameone's theme.css switches the two animated SVGs to use cn1-svg-width / cn1-svg-height: 12mm so the demo proves the new path -- generated registry now emits `new SpinnerAnimated(12.0f, 12.0f)`. Docs - Developer guide reorganized around the three sizing mechanisms in precedence order. Recommends millimeter dimensions for any SVG with non-standard declared width/height (which is most of them). * SVG: seamless install, fail-fast dimensions, text rendering, accurate docs Seamless installation - Resources gains a tiny OpenHook API. Generated SVGRegistry registers itself in a static initializer that fires the first time any Resources opens (Resources.probeSVGRegistry does Class.forName on the literal class name). ParparVM treats the literal class reference as a reachability root, so iOS / Android builds include the generated class without any reflective getMethod / invoke. The registry then registers an OpenHook that fires on the same load, replacing the CSS-compiler placeholder PNGs with the transcoded SVG instances. - Drops the explicit SVGStaticScreenshotTest.installSVGRegistry() call from both screenshot tests -- the registry is now seamless for app code; calling install() by hand defeats the test. Fail-fast dimensions - GeneratedSVGImage's pixel-dimensions constructor now throws IllegalArgumentException for width/height < 1 instead of clamping to 1. Same for SVGScaledView's scaled(w, h). mmToPixels also throws if the requested mm value resolves to 0 pixels (a 0.something mm cn1-svg-width hint that rounds away) -- silently producing a 1px result was always a debugging trap. SVG text rendering - Add SVGText model + parser path: <text> with x, y, font-family, font-size, font-weight (including numeric 700+ = bold), font-style, text-anchor (start/middle/end). <tspan> children are flattened into the parent text's content (single style per <text>; per-run styling is a follow-up). - Codegen emits g.drawStringBaseline through a Font.derive of the default font sized in user units, with anchor-aware x positioning via Font.stringWidth. Fill / opacity / animation flow through the same paths as shape fills. Docs - Strip "introduced in 8.0" and v1 language from the developer guide per project convention. Replace the inaccurate "Codename One has historically supported SVG" claim (it only ever worked on J2ME and the JavaSE simulator) with an accurate reference to the legacy flamingo-svg-transcoder. Document the seamless install path so the guide stops telling users to write SVGRegistry.install() manually. - Note text and clip-path coverage in the feature matrix. Tests - Two new parser tests for text + numeric font-weight. - New CompileGeneratedSourceTest case ensures the text codegen produces a class that compiles against the real CN1 Font / Graphics surface. * SVG: broader hellocodenameone fixtures + initializr skill update Hellocodenameone test coverage - logo_text.svg exercises the new <text> path -- anchored middle/end rendering, font-weight bold, font-style italic, multi-color fills, on top of a rounded-rect frame. Catches regressions in font derivation, anchor positioning, and styled text in the same SVG. - wave_path.svg targets the path mini-language: S smooth-cubic reflection, T smooth-quadratic reflection, and dashed stroke rendering on a non-trivial composite path. - color_morph.svg combines animateTransform (rotate) with two parallel <animate> elements driving rx and ry on the same rect, so the screenshot grid proves multi-attribute animations on one element actually compose. All three are referenced from theme.css with cn1-svg-width / cn1-svg-height (mm) so the rendered size carries across DPI. The static screenshot test now also includes logo_text + wave_path; the animated grid adds color_morph alongside spinner + pulse. Initializr agent skill - New "SVG icons -- build-time transcoder" section in scripts/initializr/common/src/main/resources/skill/references/css.md documenting the recommended sizing keys (mm > source-dpi > implicit), feature coverage, and the seamless `Resources.getImage(name)` path. Pointed at the developer-guide chapter for full detail. Future agents recommending CN1 icons will steer users to SVG by default. * SVG: clip-path / mask support via shape clipping - New SVGClipPath model and parser path for <clipPath> (in <defs> or top-level). <mask> is treated as a clip alias -- alpha masking falls back to opaque, but the geometric clip outline still applies, which is the right answer for badge-style usage where the mask is just an alternate way of expressing a rounded outline. - StyleParser now reads clip-path="url(#id)" via the same url() parser that resolves gradient refs. SVGStyle gets a clipPathRef field; inherit() does NOT propagate it (matches SVG spec). - emitNode wraps the shape paint in pushClip / setClip(clipShape) / popClip when the resolved style has a clip ref. emitClipShape re-emits the first child shape of the clipPath as a fresh GeneralPath (rect / rounded-rect / circle / ellipse / polyline / polygon / path including arcs). Multi-shape clipPaths and nested clip-on-clip references are flattened to the first shape -- the common case for icons. Tests + fixtures - New CompileGeneratedSourceTest case (rect + circle clipPath against two filled rects) -- catches codegen regressions against the real CN1 Graphics surface. - clipped_badge.svg fixture exercises a rounded-rect clip masking a linear-gradient fill plus clipped text, all in one file. Added to theme.css and the static screenshot test so the iOS / Android / JavaSE screenshots prove the end-to-end clip path works. * Add clipped_badge.svg fixture + SVGClipPath model file * Fix Vale lints in SVG transcoder dev guide CI's docs/developer-guide quality gate flagged five Vale errors: - Replace ASCII 'x' dimensions (1x1, 24x24, 1024x1024) with proper multiplication signs so proselint.Typography stops complaining. - Reword 'it is' to drop the Microsoft.Contractions violation. Doc content is otherwise unchanged. * Install transcoded SVGs from the per-platform Stub before init() Replaces the previous Class.forName / OpenHook wiring with the simpler arrangement: each platform's Stub registers transcoded SVGs with the global Resources image table BEFORE the user's init(Object) runs. Resources stays minimal -- it already exposes the static registerGeneratedImage(name, Image) method; getImage now prefers the generated registry over the local resources map so SVGs override the CSS-compiler placeholder PNGs that share the same name in theme.res. The transcode-svg mojo always emits SVGRegistry.installGlobal() now (even with zero SVGs it's a no-op), so callers can reference it unconditionally: * iOS -- IPhoneBuilder detects the generated SVGRegistry.class in the user's compile output and weaves its installGlobal() into the stub right before i.init(this) in the generated Stub.java. * Android -- AndroidGradleBuilder does the same in its generated Stub's run() before i.init(this). * JavaSE desktop -- the cn1app-archetype Stub template calls installGlobal() unconditionally; the codenameone-svg-transcoder always produces the class so the reference always compiles. (The hellocodenameone JavaSE Stub gets the same change manually.) * JavaSE simulator -- the Executor (which dynamically loads the user's main class) does a Class.forName + getMethod dance for the registry right before invoking init(), matching the existing reflection-heavy app-launching style of that class. This is per-port code, not framework code, so it doesn't cross the ParparVM reachability bar. The generated SVGRegistry shrinks to a single installGlobal() method (no static initializer, no install(Resources) variant) -- there is no hidden wiring anywhere; whoever wants the SVGs installed calls that method explicitly. Mirrored to BuildDaemon's IPhoneBuilder / AndroidGradleBuilder copies per the project's mirror requirement. The screenshot tests now read transcoded SVGs through the regular Resources.getGlobalResources().getImage(name) path; no glue code in test land either. * Broaden SVG transcoder unit coverage Expands the test surface to catch regressions in the less-trodden paths: - multiStopGradientCompiles -- 5-stop linear gradient (red -> yellow -> lime -> aqua -> blue). Confirms the codegen handles >2 gradient stops through the LinearGradientPaint constructor's fractions/colors arrays. - deeplyNestedGroupsCompile -- five-deep <g transform="..."> nesting. Catches local-variable shadowing regressions in the per-block __tsave / __tnew naming when many transform blocks stack. - skewTransformsCompile -- skewX and skewY composed with translate. Skew used to drop on the floor in emitApplyMatrix; covered now. - valuesAnimationCompiles -- two parallel <animate values="..."> on the same circle (r driving size, opacity driving fade). Covers the values-list flow distinct from the from/to two-keyframe shape. Path data: - smoothQuadraticReflectsControlPoint -- T after Q uses the reflection of the prior control point. - smoothCurveFallsBackToCurrentPoint -- S without a prior C uses the current point as its implicit first control (spec rule). - closeFollowedByImplicitMoveRebasesStart -- the current point after Z is the subpath start, so a relative m thereafter is relative to that start, not the close target. Dev guide: short note flagging that hellocodenameone publishes the SVG-rendered grid as a CI artifact and the source SVG fixtures live under scripts/hellocodenameone/common/src/main/css/. Resolves the "screenshot in dev guide" follow-up without committing a binary that would drift -- the reader can pull the latest from CI. 73 tests passing (up from 66, +7 from this commit). * PMD LogicInversion: use mm <= 0f || NaN instead of !(mm > 0f) PMD's LogicInversion rule complained about the negated-greater-than check in GeneratedSVGImage.mmToPixels. The original form deliberately caught NaN (since `NaN > 0` is false, `!(NaN > 0)` is true) but PMD can't see the intent. Spell it out explicitly with `mm <= 0f || Float.isNaN(mm)` so the NaN guard survives and the rule is happy. * Fix SVG screenshot test: grid layout + drawString for Metal Two regressions called out: 1. clipped_badge.svg never appeared in the static screenshot capture. Root cause: BoxLayout.y stacked the six SVG labels off the bottom of the iOS / Android viewport, so the screenshot framework only captured the first three. Switch the test form to GridLayout(3, 2) so every transcoded SVG fits in a single capture (star + gradient_circle row, path_arrow + logo_text row, wave_path + clipped_badge row). 2. logo_text.svg rendered as nothing on iOS Metal. The Graphics.drawStringBaseline path misrenders text under a non-identity transform on the Metal port (the entire SVG paint happens inside the viewport setTransform). Switch the codegen to plain Graphics.drawString and convert SVG's baseline y to drawString's top-left by subtracting Font.getAscent() (fall back to getHeight when ascent <= 0, which happens on a couple of font paths). drawString is the more widely-supported entry point on every CN1 port. * Fix SVG text + gradient rendering on iOS Metal and Android Text was painted with `Font.getDefaultFont().derive(size, weight)` which throws on Android (default font is a bitmap system font, not TTF) and that hung SVGStaticScreenshotTest for the entire instrumentation run. Switch to `Font.createTrueTypeFont("native:MainRegular" / ...)` based on the SVG `font-weight` / `font-style` and derive the requested pixel size from the resulting TTF. Never use `createSystemFont`. Text also needs to render in parent-transform space because iOS Metal does not pick up the active Graphics transform for `drawString`. The runtime now exposes `drawSvgText` on `GeneratedSVGImage`: it restores the pre-SVG transform, scales the font by the SVG->screen factor, and translates the SVG baseline coords to screen pixels. Gradient fills had the same Metal problem -- `setClip(non-rect Shape) + LinearGradientPaint.paint` rendered as a triangle for arc-decomposed paths because Metal substitutes a degenerate polygon. The new `fillSvgGradient` helper renders the gradient and a path-shaped alpha mask to off-screen images at screen resolution, masks the gradient and blits the result in parent-transform space, sidestepping the clip. Generator updated to emit `drawSvgText(...)` / `fillSvgGradient(...)` in place of the inline recipes, and to drop the now-unused `LinearGradientPaint` / `MultipleGradientPaint` / `Font` imports. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Revert SVG Metal workarounds; document Metal bugs in test + dev guide The previous commit added drawSvgText / fillSvgGradient helpers that restored the parent transform to bypass two iOS Metal renderer bugs. That belongs in a Metal-focused PR, not here -- the transcoder should emit the straightforward CN1 graphics recipe and let the port fix the bugs at the rendering layer. Reverted those helpers and the inline emission they replaced. Kept the GeneratedSVGImage.svgTextFont helper: that one is not a Metal workaround. It loads a TrueType face via the native: scheme so we can derive arbitrary pixel sizes -- otherwise Android's bitmap default font makes Font.derive throw and hangs the screenshot suite mid-paint. Documented the two known Metal bugs (drawString under transform, setClip on non-rect Shape) in docs/developer-guide/SVG-Transcoder.asciidoc and in the SVGStaticScreenshotTest javadoc so the next reviewer knows the Metal goldens are intentionally capturing the broken behavior. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Fix stale Quick Start + Troubleshooting copy in SVG dev guide App code no longer calls SVGRegistry.install(theme) -- the per-platform Stub generated by the cn1 builder emits installGlobal() before init(Object) so the registry is wired automatically. Reflect that in the Quick Start, drop the manual call from the troubleshooting section, and update the limitations bullet that still described the install as "explicit". Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Add SVG screenshot goldens for Android, iOS legacy, iOS Metal Captured from CI run 26469559178 (Android) and 26469560225 (iOS) on commit f8e1b4e. SVGStaticScreenshotTest + SVGAnimatedScreenshotTest now have stable baselines for every port that runs the hellocodenameone device-runner suite. The goldens deliberately encode current per-port rendering bugs so the follow-up port-side PRs can replace each baseline with the corrected output: - iOS (legacy + Metal): setClip(non-rect GeneralPath) draws a triangle for gradient_circle.svg and clipped_badge.svg. - iOS (legacy + Metal): <animate> on fill color does not tick, so color_morph.svg's red diamonds vanish on legacy and freeze on Metal. - Android: gradient_circle.svg paints the fill plus an outline of the same circle stacked. Doc + test javadoc updated to accurately describe what each golden is recording. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Fix Vale lint warnings in SVG-Transcoder.asciidoc Vale's Microsoft style guide flags contractions ("does not" -> "doesn't", "did not" -> "didn't"), discouraged Latinisms ("e.g." -> "for example"), and a couple of weak adverbs ("deliberately", "separately"). The developer-guide quality gate treats these as build-breaking, so the golden-bearing commit failed the docs build. Reworded the affected sentences without changing meaning. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Skip SVGRegistry emission when project has no SVGs; load it generically Two follow-ups on the SVG transcoder: 1. The transcode-svg mojo no longer emits a SVGRegistry class when the project has zero SVGs. The Stub-side injection in IPhoneBuilder / AndroidGradleBuilder already checked for the class file, so a project without SVGs now also has no registry reference in the generated Stub. A leftover SVGRegistry.java from a previous build (e.g. after an SVG is removed) is swept on the next run so the `.isFile()` check stays honest. 2. JavaSE-side, the registry now loads from JavaSEPort.init() via a reflective Class.forName + installGlobal() invocation, idempotent across multiple Display.init() calls. The cn1app archetype Stub template and the hellocodenameone JavaSE Stub no longer hard-code SVGRegistry.installGlobal() -- a project with no SVGs no longer pulls in a reference that wouldn't compile, and the same code path covers both the simulator and a desktop run. Dropped the older reflective load from Executor.java since JavaSEPort.init() runs in both code paths. Developer guide rewritten to lead with cn1-svg-width / cn1-svg-height millimeter sizing as the recommended path; dropped the public "Limitations and notes" section that exposed port-side rendering bugs to readers who shouldn't care about them. The current per-port rendering bugs the screenshot goldens encode now live only in SVGStaticScreenshotTest's javadoc so the next maintainer who refreshes the goldens still has the context. Resources / CSSTheme / SVGTranscoder javadoc references to the old `install(theme)` entry point updated. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Drop 'silently' adverb flagged by Vale in SVG dev guide Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Skip SVG screenshot tests on JS port at the per-test level The Cn1ssDeviceRunner.shouldForceTimeoutInHtml5 path lists SVGStatic- ScreenshotTest and SVGAnimatedScreenshotTest in isJsSkippedScreenshotTest, but the "forced timeout (HTML5 fallback)" log marker never appears in JS CI output -- the path doesn't actually short-circuit on the JS port. Tests get run on JS anyway. SVGAnimatedScreenshotTest's chunk-emission hangs on JS under the 150s browser-lifetime budget (last successful run was at 81e4fef, then PR #5035 landed three new screenshot tests into the JS suite and pushed it past the budget). The PNG capture itself produces the same bytes / fingerprint as on iOS legacy, so this is a budget / harness flake, not a rendering regression. Opt out at the per-test level with an early return when getPlatformName returns "HTML5" so the JS suite stays under budget. The framework-level shouldForceTimeoutInHtml5 path can be debugged separately. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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…5057) * Document AI/LLM, ChatView, speech, and ML Kit cn1libs from PR #5035 PR #5035 introduced com.codename1.ai (LlmClient, ChatRequest, streaming SSE, tool calls, embeddings, image generation, conversation persistence, retries, simulator Ollama redirect), the com.codename1.components.ChatView component, com.codename1.media.SpeechRecognizer / TextToSpeech, the non-prompting SecureStorage overloads, and the cn1-ai-mlkit-{barcode, docscan,face} cn1libs. The PR shipped the framework code but left both the developer guide and the initializr authoring skill silent on every new API. Adds a new "AI, Chat UI, and Speech" chapter to the developer guide: provider factories, streaming, tool calling, structured output, multi- modal messages, embeddings, image generation, conversation store, prompt templates, retry policy, simulator redirect, SecureStorage key handling, ChatView wiring and theming UIIDs, SpeechRecognizer / TextToSpeech, the three ML Kit cn1libs, and a capture-photo -> describe -> speak example. Includes an SVG mockup of the ChatView surface. Adds references/ai-and-speech.md to the bundled initializr authoring skill, indexed from SKILL.md and exercised from GeneratorModelMatrixTest, so Claude Code (and any agent that respects the skills convention) inside a generated project picks up the new APIs automatically. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Reword three LanguageTool snags in the new AI chapter Local reproduction with language-tool-python==2.9.4 (the CI-pinned version) flagged three matches in Ai-And-Speech.asciidoc: - PCT_SINGULAR_NOUN_PLURAL_VERB_AGREEMENT on "the simulator, the cloud build, and your CI pipeline route everything" -- the rule wanted the singular-vs-plural agreement reworded. Rephrased to ": the simulator, the cloud builder, and your CI pipeline all run the same code." - MORFOLOGIK_RULE_EN_US on "thread-safe mutators" -- the en_US dictionary doesn't recognise "mutators". Spelled the methods out ("addMessage, appendToLastMessage, and setTypingIndicatorVisible"). - MORFOLOGIK_RULE_EN_US on "SAPI on Windows" -- the flagged span was the two-word phrase, so the accept-list entry for "SAPI" alone did not match it. Wrapped SAPI in a code span so the HTML extractor replaces it with the inline placeholder before LanguageTool sees the surrounding prose. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Replace ChatView SVG mockup with a real simulator screenshot The first revision shipped a hand-authored SVG sketch of the ChatView component. Swap it for an actual PNG produced by the JavaSE simulator running the component under the iOS Modern theme so the developer guide shows the real rendering, not a wireframe. - Adds ChatViewDevGuideScreenshotTest in scripts/hellocodenameone (under common/src/test/java, where cn1:test discovers AbstractTest implementers). The test installs iOSModernTheme.res, builds a Form with a populated ChatView, paints it to a PNG, and writes it to Storage as chat-view.png. Running it via mvn -pl javase -am test (with the test profile activator) drops ~/.cn1/chat-view.png. - Adds docs/developer-guide/img/chat-view.png, captured from a local simulator run via the test above. - Drops docs/developer-guide/img/chat-view-mockup.svg. - Points the chapter's image:: at the new PNG with caption "ChatView rendered in the JavaSE simulator under the iOS Modern theme". Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Wire Anthropic and Gemini through their OpenAI-compatible endpoints The original AnthropicClient and GeminiClient were scaffolds that threw UnsupportedOperationException on every call, with documentation telling callers to route through LlmClient.localOpenAiCompatible manually. Both providers now publish first-party OpenAI-compatible endpoints that speak the canonical /chat/completions wire format: - https://api.anthropic.com/v1/chat/completions - https://generativelanguage.googleapis.com/v1beta/openai/chat/completions That is the same shape OpenAiClient already implements end-to-end -- streaming, tool calls, multi-modal image parts, structured JSON output, the entire StreamingChatRequest plumbing. So both subclasses now extend OpenAiClient and only override the provider name and the default model: - LlmClient.anthropic(key) -> claude-sonnet-4-5 - LlmClient.gemini(key) -> gemini-2.0-flash LlmClient.DEFAULT_GEMINI_URL is bumped to the OpenAI-compat path (`/v1beta/openai`). AnthropicClient still overrides embed() with the helpful "Anthropic doesn't publish embeddings; use Voyage AI" error because that part remains true. Documentation updated: the AI chapter and the initializr authoring skill no longer hedge with "throws an LlmException until native clients land"; both providers work out of the box, with a default- model table per provider added to the skill. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Reframe the API-key storage section as a WARNING admonition The previous wording explained two SecureStorage code paths (biometric-gated vs non-prompting) and ended with "remain the right choice for credentials a human user authenticates against," which read more like an API tour than safety guidance. The actual risk that needs surfacing is that hard-coded keys in a mobile binary are extractable. Replace the prose block with an asciidoc WARNING admonition that spells out the rule (no key in source / resource / git, fetch from a server the user authenticates against, then cache locally with the non-prompting overloads) and keeps just the short SecureStorage code sample. Mirror the same simplification in the initializr authoring skill. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This was referenced May 29, 2026
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Consolidated follow-up to the May 29 weekly index. Covers the four surfaces that moved from "you need a cn1lib for this" to "it is in the framework" this release: - Connectivity (PR #5021): com.codename1.io.{wifi,bonjour,usb} + NetworkManager.addNetworkTypeListener with the per-platform implementations and the three new CN1_INCLUDE_* defines that keep unused entitlements out of Apple's API-usage scan. - Identity (PRs #5018, #5039): OIDC client backed by ASWebAuthenticationSession / Custom Tabs with PKCE; Sign in with Apple in core; refreshed Google/Facebook/Microsoft/Auth0/Firebase wrappers; WebAuthn / passkey client in W3C JSON wire format with iOS 16 and Android API 28 native bindings; Auth0/Firebase passkey helpers; legacy Oauth2 deprecated. - Sharing (PR #5036): ShareResult callbacks (SHARED_TO/DISMISSED/FAILED) on iOS and Android via UIActivityViewController.completionWithItemsHandler and Intent.createChooser with IntentSender; IOSShareExtensionBuilder in the Maven plugin generates a complete .ios.appext bundle. - AI (PRs #5035, #5057): com.codename1.ai with LlmClient for OpenAI/Anthropic/Gemini/Ollama, streaming SSE, ChatView, SpeechRecognizer/TextToSpeech, SecureStorage non-prompting overloads, simulator Ollama redirect, AiDependencyTable build-time injection, and the cn1-ai-mlkit-{barcode,docscan,face} cn1libs. Closes with the structural element common to all four (scanner-driven gating that mirrors the NFC/biometrics pattern from two weeks ago).
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Consolidated follow-up to the May 29 weekly index. Covers the four surfaces that moved from "you need a cn1lib for this" to "it is in the framework" this release: - Connectivity (PR #5021): com.codename1.io.{wifi,bonjour,usb} + NetworkManager.addNetworkTypeListener with the per-platform implementations and the three new CN1_INCLUDE_* defines that keep unused entitlements out of Apple's API-usage scan. - Identity (PRs #5018, #5039): OIDC client backed by ASWebAuthenticationSession / Custom Tabs with PKCE; Sign in with Apple in core; refreshed Google/Facebook/Microsoft/Auth0/Firebase wrappers; WebAuthn / passkey client in W3C JSON wire format with iOS 16 and Android API 28 native bindings; Auth0/Firebase passkey helpers; legacy Oauth2 deprecated. - Sharing (PR #5036): ShareResult callbacks (SHARED_TO/DISMISSED/FAILED) on iOS and Android via UIActivityViewController.completionWithItemsHandler and Intent.createChooser with IntentSender; IOSShareExtensionBuilder in the Maven plugin generates a complete .ios.appext bundle. - AI (PRs #5035, #5057): com.codename1.ai with LlmClient for OpenAI/Anthropic/Gemini/Ollama, streaming SSE, ChatView, SpeechRecognizer/TextToSpeech, SecureStorage non-prompting overloads, simulator Ollama redirect, AiDependencyTable build-time injection, and the cn1-ai-mlkit-{barcode,docscan,face} cn1libs. Closes with the structural element common to all four (scanner-driven gating that mirrors the NFC/biometrics pattern from two weeks ago).
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May 29, 2026
Consolidated follow-up to the May 29 weekly index. Covers the four surfaces that moved from "you need a cn1lib for this" to "it is in the framework" this release: - Connectivity (PR #5021): com.codename1.io.{wifi,bonjour,usb} + NetworkManager.addNetworkTypeListener with the per-platform implementations and the three new CN1_INCLUDE_* defines that keep unused entitlements out of Apple's API-usage scan. - Identity (PRs #5018, #5039): OIDC client backed by ASWebAuthenticationSession / Custom Tabs with PKCE; Sign in with Apple in core; refreshed Google/Facebook/Microsoft/Auth0/Firebase wrappers; WebAuthn / passkey client in W3C JSON wire format with iOS 16 and Android API 28 native bindings; Auth0/Firebase passkey helpers; legacy Oauth2 deprecated. - Sharing (PR #5036): ShareResult callbacks (SHARED_TO/DISMISSED/FAILED) on iOS and Android via UIActivityViewController.completionWithItemsHandler and Intent.createChooser with IntentSender; IOSShareExtensionBuilder in the Maven plugin generates a complete .ios.appext bundle. - AI (PRs #5035, #5057): com.codename1.ai with LlmClient for OpenAI/Anthropic/Gemini/Ollama, streaming SSE, ChatView, SpeechRecognizer/TextToSpeech, SecureStorage non-prompting overloads, simulator Ollama redirect, AiDependencyTable build-time injection, and the cn1-ai-mlkit-{barcode,docscan,face} cn1libs. Closes with the structural element common to all four (scanner-driven gating that mirrors the NFC/biometrics pattern from two weeks ago).
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May 29, 2026
Consolidated follow-up to the May 29 weekly index. Covers the four surfaces that moved from "you need a cn1lib for this" to "it is in the framework" this release: - Connectivity (PR #5021): com.codename1.io.{wifi,bonjour,usb} + NetworkManager.addNetworkTypeListener with the per-platform implementations and the three new CN1_INCLUDE_* defines that keep unused entitlements out of Apple's API-usage scan. - Identity (PRs #5018, #5039): OIDC client backed by ASWebAuthenticationSession / Custom Tabs with PKCE; Sign in with Apple in core; refreshed Google/Facebook/Microsoft/Auth0/Firebase wrappers; WebAuthn / passkey client in W3C JSON wire format with iOS 16 and Android API 28 native bindings; Auth0/Firebase passkey helpers; legacy Oauth2 deprecated. - Sharing (PR #5036): ShareResult callbacks (SHARED_TO/DISMISSED/FAILED) on iOS and Android via UIActivityViewController.completionWithItemsHandler and Intent.createChooser with IntentSender; IOSShareExtensionBuilder in the Maven plugin generates a complete .ios.appext bundle. - AI (PRs #5035, #5057): com.codename1.ai with LlmClient for OpenAI/Anthropic/Gemini/Ollama, streaming SSE, ChatView, SpeechRecognizer/TextToSpeech, SecureStorage non-prompting overloads, simulator Ollama redirect, AiDependencyTable build-time injection, and the cn1-ai-mlkit-{barcode,docscan,face} cn1libs. Closes with the structural element common to all four (scanner-driven gating that mirrors the NFC/biometrics pattern from two weeks ago).
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- Opening description rewritten so it does not read as a comma list. - Dropped the "AI first, OAuth second" meta-paragraph. - Anthropic and Gemini are no longer described as "still in flight"; both are fully implemented in this release. - Replaced the SecureStorage "small thing that matters more than it sounds" framing with a proper "How to handle API keys" section that opens with the security rule (never check in, never embed, never hardcode), explains the proper shape (fetch from your backend over an authenticated request, cache to the platform keychain via SecureStorage), and gives a concrete getOpenAiKey example. - ChatView ASCII mockup replaced with a screenshot reference and a richer code example that drives the chat manually (ConversationStore + per-message lifecycle + error path). - Removed the Speech / TTS subsection entirely. The native iOS / Android bridges are still tracked follow-ups in PR #5035 and are not shipping in this release. - iOS Share Extension paragraph expanded into a real "how your app appears in other apps' share menus" section with a pom.xml configuration block, the cn1:generate-ios-share-extension Mojo invocation, and a host-side payload-read example. - AI cn1libs rewritten. The 13 cn1libs land in a feature table with a one-line "what it gives you" column each, followed by a "how to add and use them" paragraph and three short worked examples (barcode, text recognition, translation). The "why these are cn1libs and not core" answer follows the concrete list rather than appearing without context. - "What ties this together" section removed.
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Consolidated follow-up to the May 29 weekly index. Covers the four surfaces that moved from "you need a cn1lib for this" to "it is in the framework" this release: - Connectivity (PR #5021): com.codename1.io.{wifi,bonjour,usb} + NetworkManager.addNetworkTypeListener with the per-platform implementations and the three new CN1_INCLUDE_* defines that keep unused entitlements out of Apple's API-usage scan. - Identity (PRs #5018, #5039): OIDC client backed by ASWebAuthenticationSession / Custom Tabs with PKCE; Sign in with Apple in core; refreshed Google/Facebook/Microsoft/Auth0/Firebase wrappers; WebAuthn / passkey client in W3C JSON wire format with iOS 16 and Android API 28 native bindings; Auth0/Firebase passkey helpers; legacy Oauth2 deprecated. - Sharing (PR #5036): ShareResult callbacks (SHARED_TO/DISMISSED/FAILED) on iOS and Android via UIActivityViewController.completionWithItemsHandler and Intent.createChooser with IntentSender; IOSShareExtensionBuilder in the Maven plugin generates a complete .ios.appext bundle. - AI (PRs #5035, #5057): com.codename1.ai with LlmClient for OpenAI/Anthropic/Gemini/Ollama, streaming SSE, ChatView, SpeechRecognizer/TextToSpeech, SecureStorage non-prompting overloads, simulator Ollama redirect, AiDependencyTable build-time injection, and the cn1-ai-mlkit-{barcode,docscan,face} cn1libs. Closes with the structural element common to all four (scanner-driven gating that mirrors the NFC/biometrics pattern from two weeks ago).
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- Opening description rewritten so it does not read as a comma list. - Dropped the "AI first, OAuth second" meta-paragraph. - Anthropic and Gemini are no longer described as "still in flight"; both are fully implemented in this release. - Replaced the SecureStorage "small thing that matters more than it sounds" framing with a proper "How to handle API keys" section that opens with the security rule (never check in, never embed, never hardcode), explains the proper shape (fetch from your backend over an authenticated request, cache to the platform keychain via SecureStorage), and gives a concrete getOpenAiKey example. - ChatView ASCII mockup replaced with a screenshot reference and a richer code example that drives the chat manually (ConversationStore + per-message lifecycle + error path). - Removed the Speech / TTS subsection entirely. The native iOS / Android bridges are still tracked follow-ups in PR #5035 and are not shipping in this release. - iOS Share Extension paragraph expanded into a real "how your app appears in other apps' share menus" section with a pom.xml configuration block, the cn1:generate-ios-share-extension Mojo invocation, and a host-side payload-read example. - AI cn1libs rewritten. The 13 cn1libs land in a feature table with a one-line "what it gives you" column each, followed by a "how to add and use them" paragraph and three short worked examples (barcode, text recognition, translation). The "why these are cn1libs and not core" answer follows the concrete list rather than appearing without context. - "What ties this together" section removed.
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…AI) (#5087) * Blog: platform APIs in the core (connectivity + identity + sharing + AI) Consolidated follow-up to the May 29 weekly index. Covers the four surfaces that moved from "you need a cn1lib for this" to "it is in the framework" this release: - Connectivity (PR #5021): com.codename1.io.{wifi,bonjour,usb} + NetworkManager.addNetworkTypeListener with the per-platform implementations and the three new CN1_INCLUDE_* defines that keep unused entitlements out of Apple's API-usage scan. - Identity (PRs #5018, #5039): OIDC client backed by ASWebAuthenticationSession / Custom Tabs with PKCE; Sign in with Apple in core; refreshed Google/Facebook/Microsoft/Auth0/Firebase wrappers; WebAuthn / passkey client in W3C JSON wire format with iOS 16 and Android API 28 native bindings; Auth0/Firebase passkey helpers; legacy Oauth2 deprecated. - Sharing (PR #5036): ShareResult callbacks (SHARED_TO/DISMISSED/FAILED) on iOS and Android via UIActivityViewController.completionWithItemsHandler and Intent.createChooser with IntentSender; IOSShareExtensionBuilder in the Maven plugin generates a complete .ios.appext bundle. - AI (PRs #5035, #5057): com.codename1.ai with LlmClient for OpenAI/Anthropic/Gemini/Ollama, streaming SSE, ChatView, SpeechRecognizer/TextToSpeech, SecureStorage non-prompting overloads, simulator Ollama redirect, AiDependencyTable build-time injection, and the cn1-ai-mlkit-{barcode,docscan,face} cn1libs. Closes with the structural element common to all four (scanner-driven gating that mirrors the NFC/biometrics pattern from two weeks ago). * Platform-APIs post: rewrite around AI + OAuth headline - Retitled "AI, OAuth, And Other Platform APIs In The Core". - Reordered sections so the two headline pieces come first: AI (with deep tutorials) and OAuth / OIDC (with provider walk- throughs and a migration). WiFi / connectivity and share-sheet callbacks land at the end. - Opener no longer runs together; the NFC / biometrics / crypto call-back is linked to the previous post explicitly. - AI section expanded with concrete examples for streaming, tool calls, embeddings, image generation, the simulator Ollama redirect, the SecureStorage non-prompting overloads, the ChatView binding, and an ASCII mockup of the ChatView surface for readers who haven't seen it. - New subsection explaining why the ML Kit AI features stay in cn1libs even though the LlmClient surface lives in core (core carries the plumbing every AI app wants; specialised verticals with large native dependencies stay opt-in; the cloud-build big- upload guard rules out the multi-gigabyte models). - OAuth section now walks through OIDC discovery, the four provider wrappers (Google, Microsoft, Auth0, Facebook), Sign in with Apple, an Oauth2-to-OidcClient migration example, and the WebAuthn / passkey client. - Dev-guide references go to the HTML version on the website. - Hero image lands at /blog/platform-apis-in-the-core.jpg. - Wrap-up has the link back to the intro and forward to the Wednesday post. Also updates the developer-workflow post (rebased on top) to add the forward link to this post in its wrap-up. * Platform-APIs post: review fixes - Opening description rewritten so it does not read as a comma list. - Dropped the "AI first, OAuth second" meta-paragraph. - Anthropic and Gemini are no longer described as "still in flight"; both are fully implemented in this release. - Replaced the SecureStorage "small thing that matters more than it sounds" framing with a proper "How to handle API keys" section that opens with the security rule (never check in, never embed, never hardcode), explains the proper shape (fetch from your backend over an authenticated request, cache to the platform keychain via SecureStorage), and gives a concrete getOpenAiKey example. - ChatView ASCII mockup replaced with a screenshot reference and a richer code example that drives the chat manually (ConversationStore + per-message lifecycle + error path). - Removed the Speech / TTS subsection entirely. The native iOS / Android bridges are still tracked follow-ups in PR #5035 and are not shipping in this release. - iOS Share Extension paragraph expanded into a real "how your app appears in other apps' share menus" section with a pom.xml configuration block, the cn1:generate-ios-share-extension Mojo invocation, and a host-side payload-read example. - AI cn1libs rewritten. The 13 cn1libs land in a feature table with a one-line "what it gives you" column each, followed by a "how to add and use them" paragraph and three short worked examples (barcode, text recognition, translation). The "why these are cn1libs and not core" answer follows the concrete list rather than appearing without context. - "What ties this together" section removed. * Platform-APIs post: real ChatView screenshot + per-cn1lib subsections - Replaced the placeholder ChatView image reference with a real screenshot pulled from the ChatViewDevGuideScreenshotTest output (scripts/ios/screenshots-metal/ChatView_light.png), cropped to remove the test-harness caption and downscaled for web payload. - Replaced the AI cn1lib quick-table and the "Why are these cn1libs" paragraph with thirteen per-cn1lib subsections (cn1-ai-mlkit-{ text, barcode, face, labeling, translate, smartreply, langid, pose, segmentation, docscan}, cn1-ai-tflite, cn1-ai-whisper, cn1-ai-stablediffusion). Each subsection covers TL;DR, per- platform native bridge, use cases, and a real working code sample using the actual facade signature (TextRecognizer. recognize / BarcodeScanner.scan / FaceDetector.detect / ... PoseDetector.detect / SelfieSegmenter.segment / ... etc). - Up front: the cn1libs aren't in the CN1 Preferences picker yet, so the manual pom.xml dependency snippet is the supported path; the shared pattern is given once with just the artifactId changing per cn1lib. - Dropped the mention of scripts/create-ai-cn1lib.sh as an implementation detail. * Platform-APIs post: shift to 2026-05-31, retime forward links Tighter daily cadence: the platform-APIs post moves from Monday 2026-06-01 to Sunday 2026-05-31, and the codegen post (PR #5088) moves from Wednesday 2026-06-03 to Monday 2026-06-01. - Front-matter date: 2026-06-01 -> 2026-05-31. - Wrap-up: "The next post is on Wednesday" -> "Tomorrow's post" with the link to /blog/build-time-codegen/. - In-text reference: "Wednesday's post" (in the embeddings paragraph that mentions the upcoming ORM) -> "tomorrow's post". - Developer-workflow post forward link (added on top of the merged base by this PR): "Monday's post" -> "Tomorrow's post" to match the new platform-APIs date.
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Summary
Introduces the full AI/LLM surface for Codename One plus the
build-server plumbing that auto-wires every native dependency it
needs. Unifies what was originally split into two PRs (#5033, #5034)
because the pieces never made sense on their own (the AI table
refers to the speech/TTS class names;
SimulatorRedirectconsumesthe
JavaSEPortOllama probe). Rebased on current master.com.codename1.aiLlmClientstatic factories for OpenAI, Anthropic, Gemini,Ollama, and a generic OpenAI-compatible endpoint. OpenAI is the
only fully-implemented native client; it also drives Ollama /
vLLM / llama.cpp because the wire format matches. Anthropic and
Gemini compile and register, but throw a clear error pointing
callers at the OpenAI-compat shim until their native clients
land.
ConnectionRequestsubclassthat parses SSE line-by-line and dispatches deltas through
Display.callSerially.AsyncResource.cancel()kills thesocket.
ChatRequest(builder),ChatMessage,MessageParthierarchy,Tool,ToolCall,ToolChoice,ResponseFormat,ChatResponse,Usage,Embedding+request/response, full
LlmExceptiontaxonomy.ImageGeneratorwith OpenAI DALL-E (Replicate scaffold;on-device SD via the optional
cn1-ai-stablediffusioncn1lib).PromptTemplate,Tokenizer,RetryPolicy,ConversationStore,SafetyFilter.com.codename1.media.SpeechRecognizer+TextToSpeechNew core APIs routed through
Displayand no-opCodenameOneImplementationhooks. Platform ports will override(iOS
SFSpeechRecognizer/AVSpeechSynthesizer; Androidandroid.speech.*).JavaSEPortships a best-effort TTS viasay/espeak/ SAPI; speech recognition stays unsupportedunless
cn1-ai-whisperis added.SecureStoragenon-prompting overloadsSingle-arg
get/set/remove(account, ...)added next to theexisting biometric-gated methods. For things like LLM API keys
read on every network call where a biometric prompt would be
unusable. Base class returns
null/falseon unsupported ports.com.codename1.components.ChatViewScrollable message list,
ChatBubble+ChatInput, theme-awareUIIDs, streaming
appendToLastMessagethat marshals throughcallSerially, and abindToLlm(client, baseRequest)convenience that wires the input bar directly to
chatStream.Build-time scanner additions
AiDependencyTablein the maven plugin: 18 entries mappingcom/codename1/ai/*(plus the speech/TTS sister APIs) to iOSPods, Swift Packages, Android Gradle deps,
Info.plistusagestrings, and Android permissions.
IPhoneBuilder+AndroidGradleBuilderpick up newbranches inside their existing ASM class scanners. After the
scan they apply matched entries; iOS deps route through the
existing
IOSDependencyManagerso SPM-mode projects get SPMand Pods-mode projects get Pods automatically. Entries
bundling >2 GB native blobs (on-device Stable Diffusion) flip
a
cn1.ai.requiresBigUploadflag so the cloud build can abortpre-upload with a friendly "build locally" message.
JavaSE simulator: Ollama detection
probeOllamaAsync()pingslocalhost:11434at startup; setscn1.ai.ollamaDetectedwhen reachable.SimulatorRedirectreads that property and, with
cn1.ai.simulatorRedirect=autoor
=ollama, routes anyLlmClient.openai(...)call throughthe local Ollama endpoint so unchanged production code can be
debugged offline without API charges.
Tests
AiDependencyTableTest): pods, SPMrouting, big-upload flagging, accumulator dedup,
false-positive guard.
ChatRequestBuilderTest,JsonHelperTest(escaping, null omission, raw-JSON inlining,integer formatting),
PromptTemplateTest,TokenizerTest,OpenAiSseDecoderTest(delta aggregation, fragmentedtool-call argument reassembly, terminal
finish_reasoncapture, error status mapping including
context_length_exceeded).mvn install -pl core,codenameone-maven-plugin,javase -am -Plocal-dev-javase -DskipTests -Dspotbugs.skip=truebuilds clean.scripts/create-ai-cn1lib.shBootstrap helper that generates a new AI cn1lib repo from
cn1lib-archetypeand drops in a.github/workflows/publish.ymlthat publishes to Maven Central on every merge to master.
Tracked follow-ups (not blocking)
SpeechRecognizer+TextToSpeech(need device testing).cn1-ai-*cn1lib repos themselves (bootstrap via the new script).Speech.framework/AVFAudio/CoreMLetc. — most arrive via their accompanying pods; standalone framework injection pending.Test plan
cd maven && mvn install -pl core,codenameone-maven-plugin,javase -am -Plocal-dev-javase -DskipTests -Dspotbugs.skip=truebuilds cleancd maven/codenameone-maven-plugin && mvn test -Dtest=AiDependencyTableTest-- 9/9 passcd maven/core-unittests && mvn test -Dtest="ChatRequestBuilderTest,JsonHelperTest,PromptTemplateTest,TokenizerTest,OpenAiSseDecoderTest"-- 23/23 passLlmClient.openai(System.getenv("OPENAI_API_KEY")).chatStream(req, listener)streams tokenscn1.ai.simulatorRedirect=ollamaroutesLlmClient.openai("sk-fake")calls tolocalhost:11434TextToSpeech.speak("hello")works on the simulator (macOS viasay)android.xpermissionswith CAMERA + using a (future)com.codename1.ai.mlkit.barcode.*class does not produce duplicate<uses-permission>lines in the final manifestGenerated with Claude Code