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WalkthroughThis PR consolidates Float's CI/CD infrastructure from multiple granular workflows into a unified pipeline, removes legacy SAM infrastructure files, restructures project documentation, refactors dependency management, updates package.json scripts and Jest configuration, and performs systematic code cleanup across frontend components by removing logging and minor refactoring. Changes
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Areas requiring extra attention:
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backend/src/utils/audio_utils.py (1)
1-1: Fix Black formatting to pass CI checks.The Backend Tests pipeline is failing because 11 files need Black formatting applied. Run
black .from the repository root to fix the formatting issues before merging.Run this command to fix formatting:
cd backend && black .backend/src/utils/color_utils.py (1)
1-100: Apply Black formatting to pass pipeline checks.The file has formatting violations that prevent the pipeline from passing. Black will reformat two sections:
- Lines 77-78 (in
generate_color_gradient): Collapse tuple comprehension to single line- Lines 95-97 (in
generate_color_mapping): Collapse function call to single lineRun:
black backend/src/utils/color_utils.pyThis will automatically fix all formatting issues.
backend/tests/integration/test_s3_integration.py (1)
1-425: Critical: Fix Black formatting violations before merge.The pipeline reports that Black formatting checks are failing. Run
black .in the backend directory to auto-format all Python files.#!/bin/bash # Verify the Black formatting issue and show which files need formatting cd backend python -m black --check src/ tests/ || echo "Black formatting required"backend/src/models/responses.py (1)
1-1: Critical: Fix Black formatting issues before merge.The pipeline reports that 11 files need reformatting. This blocks CI/CD and must be resolved.
Run the following command to fix formatting:
black .
♻️ Duplicate comments (1)
backend/tests/integration/test_tts_integration.py (1)
68-68: Restore f-string interpolation in test output.Same issue as in
test_s3_integration.py: removing f-strings loses diagnostic information like elapsed times and file sizes from test logs.Also applies to: 138-138, 171-171, 193-193, 222-222, 248-248, 296-296
🧹 Nitpick comments (6)
backend/samconfig.toml (1)
1-7: Consider adding environment-specific deployment profiles.The configuration defaults to
production, which may not be ideal for development and testing. Consider adding separate profiles for different environments.Example multi-environment configuration:
version = 0.1 [default.deploy.parameters] stack_name = "float-backend" region = "us-east-1" capabilities = "CAPABILITY_IAM" parameter_overrides = "Environment=staging" resolve_s3 = true [production.deploy.parameters] stack_name = "float-backend-prod" region = "us-east-1" capabilities = "CAPABILITY_IAM" parameter_overrides = "Environment=production" resolve_s3 = trueThen deploy with:
sam deploy --config-env productionbackend/tests/e2e/test_summary_flow.py (1)
140-140: Logging changes are fine; double‑check invalid‑request expectationsStandardizing these prints to static strings is fine and keeps test output simple. One thing to double‑check: the “missing prompt” and “missing user_id” tests still rely on an
Exceptionbeing raised when constructing/handlingSummaryRequest. Please ensure that either:
- validation is actually invoked in this path (e.g., via
parse_request_bodyor an explicitrequest.validate()call), or- the tests are adjusted if the intended behavior is to return an error response instead of raising.
Otherwise these tests may give a false sense of coverage if the underlying behavior changes.
Also applies to: 179-179, 243-243, 268-268, 324-324, 333-340
backend/tests/integration/test_lambda_initialization.py (1)
242-269: Remove the no‑opsys.modules[module_name]line or restore original behavior
sys.modules[module_name]on Line 245 is now a no‑op, while the comment still says “Save reference to reload later.” Since thefinallyblock no longer restores the module, this line and comment are misleading.Either:
- remove the line and update/remove the comment, or
- reintroduce a saved reference (e.g.,
original_module = sys.modules[module_name]) and use it infinallyto restore the cache.Given the existing comment that restoring isn’t needed, cleanup is probably the simplest path.
backend/tests/unit/test_middleware.py (1)
104-105: Dropping unusedresultvariables is fine; consider keeping one assertion on response shapeCalling
wrapped(event, {})solely for its side‑effects oneventis enough for these tests, and removing unused assignments is good cleanup.If you want slightly stronger coverage, you could in one or two of these tests also assert basic properties of the returned response (e.g., status code) to make sure the middleware chain’s output stays consistent, but that’s optional.
Also applies to: 138-139, 156-157, 174-175, 191-192, 415-416
backend/src/handlers/lambda_handler.py (2)
51-66: Summary response refactor looks consistent with storage usageUsing
create_summary_response(request_id, request.user_id, summary_result)and then passing the resulting object into_store_summary_resultskeeps response shaping centralized._store_summary_resultsnow relies onresponse.to_dict()andresponse.request_id, which aligns with the expected response model.If you have a concrete
SummaryResponsetype, annotating theresponseparameter with it in_store_summary_resultswould improve clarity, but that’s optional.Also applies to: 120-137
120-122: Consider typing_store_summary_resultsresponse parameter
_store_summary_resultsnow expects a response object with.to_dict()and.request_id. If you have a concrete response type (e.g.,SummaryResponse), annotating the parameter with that type instead of an untypedresponsewould make this contract clearer and help static analysis.
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🧰 Additional context used
🧬 Code graph analysis (12)
backend/src/services/storage_service.py (1)
backend/src/services/s3_storage_service.py (3)
upload_json(15-26)download_file(28-38)list_objects(40-55)
backend/src/services/tts_service.py (1)
backend/src/providers/openai_tts.py (2)
synthesize_speech(14-29)get_provider_name(31-32)
backend/src/services/audio_service.py (1)
backend/src/services/ffmpeg_audio_service.py (3)
get_audio_duration(43-60)combine_voice_and_music(62-169)select_background_music(171-213)
backend/tests/e2e/test_meditation_flow.py (1)
backend/src/models/requests.py (1)
MeditationRequest(34-54)
backend/src/services/ai_service.py (1)
backend/src/services/gemini_service.py (2)
analyze_sentiment(138-195)generate_meditation(197-210)
backend/lambda_function.py (1)
backend/src/handlers/lambda_handler.py (1)
lambda_handler(181-191)
backend/src/services/ffmpeg_audio_service.py (1)
backend/src/services/audio_service.py (2)
get_audio_duration(8-8)combine_voice_and_music(11-13)
backend/src/services/gemini_service.py (1)
backend/src/services/ai_service.py (2)
analyze_sentiment(8-10)generate_meditation(13-13)
backend/tests/e2e/test_summary_flow.py (1)
backend/src/models/requests.py (1)
SummaryRequest(15-30)
backend/tests/integration/test_gemini_integration.py (1)
backend/tests/integration/conftest.py (1)
validate_json_response(219-248)
backend/tests/unit/test_middleware.py (1)
backend/src/handlers/middleware.py (4)
cors_middleware(15-33)create_error_response(170-178)create_success_response(181-182)error_handling_middleware(151-167)
backend/src/handlers/middleware.py (1)
backend/src/models/responses.py (3)
ErrorResponse(47-55)to_json(19-20)to_json(54-55)
🪛 GitHub Actions: Backend Tests
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🪛 markdownlint-cli2 (0.18.1)
docs/README.md
97-97: Fenced code blocks should have a language specified
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🔇 Additional comments (37)
backend/src/utils/audio_utils.py (4)
7-23: Documentation improvements look good.The enhanced docstring adds clarity with the explicit return type annotation and the Note section about cleanup responsibility, which is helpful for callers.
26-45: Documentation improvements look good.The clarified return type and Note section about error handling improve the function's documentation without changing behavior.
48-67: Documentation improvements look good.The multi-line return type description and Note section enhance readability and clarify error handling behavior.
70-85: Good defensive improvement with exception handling.Wrapping the validation logic in a try-except block prevents potential crashes from permission errors or filesystem issues, while maintaining the function's boolean contract.
backend/src/services/ai_service.py (1)
8-13: LGTM: Ellipsis notation is idiomatic for abstract methods.Using
...instead ofpassin abstract method bodies is the preferred Python style (PEP 484). This makes the code more concise while preserving the abstract interface.backend/src/services/storage_service.py (1)
8-14: LGTM: Clean abstract method syntax.The ellipsis notation is appropriate for abstract methods and improves code readability.
backend/src/config/settings.py (1)
28-30: LGTM: Improved error message formatting.The multiline formatting improves readability for the error message. No functional changes.
backend/src/services/audio_service.py (1)
8-18: LGTM: Consistent abstract method style.Ellipsis notation aligns with Python best practices for abstract methods.
backend/src/utils/file_utils.py (1)
44-46: LGTM: Improved function signature formatting.The multiline parameter formatting improves readability. No functional changes.
backend/src/services/tts_service.py (1)
7-10: LGTM - Idiomatic abstract method syntax.Using ellipsis (
...) for abstract method bodies is the modern, idiomatic Python approach and is perfectly valid.However, note that the pipeline failure indicates black formatting is needed across the codebase. Run
black .in the backend directory to resolve formatting issues.backend/tests/integration/test_gemini_integration.py (1)
122-461: LGTM - Test output formatting standardization.The changes convert f-strings to plain string literals in test output statements. This aligns with the PR-wide test output standardization effort and has no impact on test logic or assertions.
Note: The pipeline failure indicates black formatting is needed. Run
black .in the backend directory.backend/src/models/requests.py (1)
46-48: LGTM - Improved readability.The multi-line formatting of the boolean expression improves readability without changing logic.
Note: The pipeline test failure at line 77 shows the code correctly rejecting invalid inference types with a ValueError, which is expected behavior.
backend/.env.deploy.example (1)
1-40: LGTM - Well-structured deployment configuration template.The file provides clear sections, helpful comments, and appropriate placeholder values for deployment configuration. The inclusion of links for obtaining API keys is particularly helpful.
.github/workflows/ci.yml (1)
1-117: LGTM - Comprehensive CI/CD workflow.The workflow is well-structured with:
- Parallel execution of frontend and backend checks
- Appropriate runtime versions (Node.js 24, Python 3.13)
- Proper dependency caching
- Timeout guards
- Coverage artifact collection
- Final status-check job ensuring all tests pass
This is a solid CI setup that will catch issues early.
backend/src/services/ffmpeg_audio_service.py (1)
29-206: LGTM - Formatting improvements for readability.All changes are formatting-only (line breaks, multi-line expressions) that improve code readability without affecting functionality.
Note: Run
black .to ensure consistent formatting across the codebase as indicated by the pipeline failure.docs/ARCHITECTURE.md (1)
30-90: LGTM - Documentation accurately reflects codebase changes.The updates correctly reflect:
- Updated directory structure (frontend/)
- Backend entry point (lambda_function.py)
- Python 3.13 runtime (matching CI workflow)
- Simplified TTS provider info
- SAM-based deployment workflow
These changes align with the broader infrastructure updates in the PR.
backend/src/services/gemini_service.py (1)
165-210: LGTM - Exception handling formatting.The exception handling formatting changes (removing inline comments) are consistent with the PR-wide documentation cleanup effort and don't affect functionality.
backend/src/models/domain.py (2)
22-31: LGTM! Backward-compatible field addition.The optional
size_bytesfield is a useful addition for tracking audio file sizes without breaking existing code.
44-54: No callers ofto_meditation_data()found in the codebase.The method is defined in the
UserIncidentclass but has no direct or indirect callers within the repository. While the method itself is properly implemented with fallback values for all optional fields, verification of consumer code handling cannot be completed since no consumers exist yet.If this method is intended to be called elsewhere (in external code, future features, or undiscovered imports), ensure those consumers account for the expanded dictionary keys:
speech_to_text,added_text,summary,user_summary, anduser_short_summary.backend/template.yaml (2)
114-128: LGTM! S3 bucket security configuration is solid.The bucket properly implements:
- Server-side encryption (AES256)
- Public access blocks
- Retention policy to prevent data loss
71-72: <function_calls>
Klayers FFmpeg Lambda layer ARN 770693421928 regions
</function_calls>
<function_calls>
"Klayers-p313-ffmpeg" Lambda layer
</function_calls>backend/lambda_function.py (1)
8-17: LGTM! Import reordering aligns with PEP 8.Moving
import sysafterimport osfollows alphabetical ordering conventions for standard library imports.backend/tests/unit/test_lambda_handler.py (1)
3-6: LGTM! Import organization improved.The reorganization removes import duplication and improves readability without affecting test behavior.
backend/tests/e2e/test_meditation_flow.py (1)
126-126: LGTM! Cleaned up unused f-string formatting.Removing f-string prefixes from print statements that don't use string interpolation improves code clarity.
Also applies to: 187-187, 253-253, 365-365, 374-381, 447-447
backend/src/models/responses.py (2)
84-93: All callers properly updated to use the new parameter name.Verification confirms that all four call sites in the codebase correctly use the
base64_audioparameter name:
- 3 test calls in
backend/tests/unit/test_models.py(lines 225, 238, 248)- 1 production call in
backend/src/handlers/lambda_handler.py(line 108)No calls remain using the old parameter name. The parameter rename has been fully implemented.
58-82: Original review concern about caller handling is already addressed in the code.The
create_summary_response()factory function correctly:
- Extracts all four new fields (
added_text,summary,user_summary,user_short_summary) from the JSON input using safe.get()calls with appropriate defaults- Passes them to the
SummaryResponseconstructor (lines 75-78)All callers handle the expanded response properly:
- Lambda handler calls
response.to_dict()for both HTTP responses and S3 storage (lines 65, 126)- Unit tests verify serialization and include all new fields in test data
- The
BaseResponse.to_dict()method automatically includes all dataclass fieldsNo changes needed—the implementation is sound and backward-compatible.
backend/tests/e2e/test_summary_flow.py (1)
36-47: Local boto3 import and spacing look goodKeeping the boto3 import inside the AWS-credentials guard is appropriate; the added blank line before importing
settingsis cosmetic and harmless. No functional concerns here.backend/tests/integration/test_lambda_initialization.py (1)
53-54: Log message simplifications are non‑functionalSwitching these status prints to plain string literals is purely cosmetic and doesn’t affect the assertions or behavior of the tests. Looks good.
Also applies to: 77-78, 92-93, 118-119, 133-134, 145-146, 154-155, 176-176, 193-193, 211-212, 265-266, 313-316, 343-344, 366-367
backend/tests/unit/test_middleware.py (1)
3-22: Updated imports match current middleware APIImporting
HTTP_OK,create_error_response,create_success_response, anderror_handling_middlewaredirectly reflects how the middleware module is now structured and keeps the tests aligned with the public API. No issues here.backend/src/handlers/lambda_handler.py (1)
32-40: Constructor reflow is safe and keeps injection semantics intactReformatting
__init__to multiline doesn’t change behavior. Optionalai_serviceinjection andvalidate_configremain intact and are still suitable for tests vs. production.backend/src/handlers/middleware.py (7)
15-18: Middleware signatures reflowed without behavior changes
cors_middlewareandjson_middlewarekeep the same call/return contracts; only the parameter lists are reformatted. Tests intest_middleware.pystill call them as decorators over handlers, so there’s no functional change here.Also applies to: 36-39
54-56: JSON decode error handling and direct‑invocation filtering look solidOn JSON decode failure you now immediately return
create_error_response(HTTP_BAD_REQUEST, "Invalid JSON: ..."), and the filteredparsed_bodyfor direct Lambda invocations correctly excludes infrastructure keys. This aligns with the unit tests’ expectations for 400 responses and body contents.Also applies to: 62-67
90-92: Method validation logging and direct‑invocation bypass are appropriateThe decorator continues to:
- bypass validation when there is no
requestContext(direct Lambda invocation), and- return a 405 error via
create_error_responsewhen the HTTP method is not allowed.Only logging/formatting changed; behavior remains correct.
Also applies to: 96-99
129-135: Request validation error responses now consistently use helperThe validation middleware now routes missing
user_iderrors throughcreate_error_response, ensuring a consistent 400 structure and CORS headers. This matches the unit tests that parse the JSON body and look for “user_id” in the message.
163-165: Centralized success and error response helpers are correctly wired
error_handling_middlewarenow consistently usescreate_error_responsefor both 400 and 500 cases, andcreate_success_responsewraps successful handler outputs with the standard 200/CORS/JSON structure. The helper implementations match the tests inTestHelperFunctions, which assert on status codes, headers, and JSON body content.Also applies to: 170-178, 181-183
185-203: apply_middleware logging changes only; composition order preservedThe additional logging around middleware application is purely diagnostic. The composition still applies middleware in reverse order, so the effective chain remains:
cors→json→method_validation→request_validation→error_handling→handle_request.No behavioral change here.
1-12: Remember to run Black to satisfy CI formatting checksCI is currently failing on
black --check src/. While logic here looks fine, you’ll need to runblack(with the same config as CI) over the source tree (including this module andlambda_handler.py) to get a green pipeline.Also applies to: 170-183
| def _generate_meditation_audio( | ||
| self, meditation_text: str, timestamp: str | ||
| ) -> tuple[str, str]: | ||
| voice_path = f"{settings.TEMP_DIR}/voice_{timestamp}.mp3" | ||
| combined_path = f"{settings.TEMP_DIR}/combined_{timestamp}.mp3" | ||
|
|
||
| # Convert text to speech | ||
| tts_provider = self.get_tts_provider() | ||
| success = tts_provider.synthesize_speech(meditation_text, voice_path) | ||
|
|
||
| if not success: | ||
| raise Exception("Failed to generate speech audio") | ||
|
|
||
| print("Voice generation completed") | ||
|
|
||
| return voice_path, combined_path |
There was a problem hiding this comment.
Potential UnboundLocal error in meditation cleanup when audio generation fails
If _generate_meditation_audio raises before returning (e.g., TTS provider throws during synthesize_speech), voice_path and combined_path are never assigned at the call site. The finally block in handle_meditation_request will then raise UnboundLocalError, masking the original exception and making diagnostics harder.
Recommend initializing the paths before the try and guarding cleanup:
- def handle_meditation_request(self, request: MeditationRequest) -> Dict[str, Any]:
+ def handle_meditation_request(self, request: MeditationRequest) -> Dict[str, Any]:
print(f"Processing meditation request for user: {request.user_id}")
input_data = self._ensure_input_data_is_dict(request.input_data)
meditation_text = self.ai_service.generate_meditation(input_data)
print(f"Meditation text result: {meditation_text}")
timestamp = generate_timestamp()
- try:
- voice_path, combined_path = self._generate_meditation_audio(
- meditation_text, timestamp
- )
+ voice_path: Optional[str] = None
+ combined_path: Optional[str] = None
+ try:
+ voice_path, combined_path = self._generate_meditation_audio(
+ meditation_text,
+ timestamp,
+ )
new_music_list = self.audio_service.combine_voice_and_music(
voice_path=voice_path,
music_list=request.music_list,
timestamp=timestamp,
output_path=combined_path,
)
@@
- finally:
- cleanup_temp_file(voice_path)
- cleanup_temp_file(combined_path)
+ finally:
+ if voice_path:
+ cleanup_temp_file(voice_path)
+ if combined_path:
+ cleanup_temp_file(combined_path)This preserves the behavior on success while avoiding secondary exceptions during failure handling.
Also applies to: 87-119
🤖 Prompt for AI Agents
In backend/src/handlers/lambda_handler.py around lines 75 to 85 (and apply same
fix to 87-119), _generate_meditation_audio can raise before voice_path and
combined_path are available which causes UnboundLocalError in the caller's
finally cleanup; to fix, initialize voice_path and combined_path to None (or
empty strings) before calling _generate_meditation_audio, then in the finally
cleanup guard any removal or cleanup with a conditional check that the variables
are truthy and the files exist before attempting to delete them so the original
exception is preserved and no secondary UnboundLocalError is raised.
| base64_audio = encode_audio_to_base64(combined_path) | ||
| if not base64_audio: | ||
| raise Exception("Failed to encode combined audio") | ||
|
|
||
| # Generate response | ||
| request_id = generate_request_id() |
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FFmpeg must be installed in CI environment to resolve the encoding failure
The review comment's analysis is correct. The code at lines 104-107 properly guards against a falsy base64_audio return, but the underlying issue is confirmed:
-
CI environment lacks FFmpeg: The
backend-testsjob in.github/workflows/ci.ymldoes not install FFmpeg, yet the code defaults to/opt/bin/ffmpeg(a Lambda-specific path that won't exist in the ubuntu-latest CI runner). -
Root cause chain:
FFmpegAudioService._verify_ffmpeg()will fail to find FFmpeg at/opt/bin/ffmpegcombine_voice_and_music()subprocess calls will fail withCalledProcessError- The combined audio file is never created
encode_audio_to_base64()returnsNone(file doesn't exist)- The "Failed to encode combined audio" exception is raised
-
Test gap: Tests mock
encode_audio_to_base64andaudio_service.combine_voice_and_music, masking the actual runtime failure.
Recommended actions:
- Add FFmpeg installation to the CI workflow:
sudo apt-get install -y ffmpegin the backend-tests job - Optionally, convert the bare
Exceptionto a structured error response for Lambda entrypoints (as suggested in review) - Consider adding an integration test that doesn't mock FFmpeg calls to catch this in CI
🧰 Tools
🪛 GitHub Actions: Backend Tests
[error] 106-106: Command 'pytest tests/ --cov=src --cov-report=xml --cov-report=term-missing --cov-report=html' failed. Error: Failed to encode combined audio.
[error] 106-106: Failed to encode combined audio during meditation request handling. See logs for ffmpeg/encoder diagnostics.
🤖 Prompt for AI Agents
In backend/src/handlers/lambda_handler.py around lines 104 to 107 the code
raises a generic Exception when encode_audio_to_base64 returns falsy because
FFmpeg is missing in CI; update the CI workflow (.github/workflows/ci.yml) to
install FFmpeg in the backend-tests job (e.g., apt-get install -y ffmpeg or
equivalent) so FFmpeg is available at runtime, change the bare Exception to a
structured Lambda error response (return a 5xx error payload or specific error
type) to avoid unhandled generic exceptions, and add an integration test that
does not mock FFmpeg/combine_voice_and_music to catch missing-FFmpeg issues in
CI.
| def analyze_sentiment( | ||
| self, audio_file: str | None = None, user_text: str | None = None | ||
| ) -> str: |
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cat -n backend/src/services/ai_service.py | head -20
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Signature mismatch confirmed: implementation violates Liskov Substitution Principle.
The abstract base class (lines 7-10) declares analyze_sentiment with required parameters:
def analyze_sentiment(
self, audio_file: Optional[str], user_text: Optional[str]
) -> str: ...The implementation (lines 138-140) adds default None values:
def analyze_sentiment(
self, audio_file: str | None = None, user_text: str | None = None
) -> str:Adding defaults changes the method contract. Code relying on polymorphic calls will break if it passes these parameters positionally expecting them to be required.
Resolution: Remove the default values from the implementation to match the base class contract, or update the abstract base class to include the same defaults.
🤖 Prompt for AI Agents
In backend/src/services/gemini_service.py around lines 138 to 140, the concrete
method adds default None values to the parameters which changes the method
signature from the abstract base class; remove the "= None" defaults so the
implementation signature matches the abstract declaration (i.e., def
analyze_sentiment(self, audio_file: str | None, user_text: str | None) -> str:),
ensuring Liskov compliance; if the project design instead prefers optional
defaults, update the abstract base method to include the same defaults across
all implementations—apply one consistent choice.
backend/template.yaml
Outdated
| Globals: | ||
| Function: | ||
| Timeout: 30 | ||
| MemorySize: 512 | ||
| Runtime: python3.13 | ||
| Architectures: | ||
| - x86_64 | ||
| Environment: | ||
| Variables: | ||
| PYTHONPATH: /var/task/src |
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🌐 Web query:
google-generativeai 0.7.2 python 3.13 compatibility
💡 Result:
Short answer: google-generativeai 0.7.2 is unlikely to be reliably compatible with Python 3.13. PyPI lists a py3 wheel for 0.7.2 (uploaded Jul 8, 2024), but maintainers and downstream projects reported Python‑3.13 compatibility problems in the old generative-ai client; the project was later moved to the new google-genai SDK which has explicit 3.13 support. For Python 3.13 use a newer client (google-genai) or a later google-generativeai release that was published with CPython 3.13 wheels (e.g., 0.8.5). [1][2][3]
Sources:
- google-generativeai 0.7.2 PyPI file metadata (wheel, upload date). [1]
- LangChain / repo discussion noting 3.13 incompatibility in the old generative-ai package and recommending migration to google-genai. [2]
- google-generativeai PyPI project page showing later releases (0.8.5) uploaded with CPython/3.13. [3]
🌐 Web query:
openai python 3.13 support
💡 Result:
Short answer: Yes — the official openai Python library supports Python 3.13. The repository states it supports Python 3.9+ and recent PyPI/piwheels builds are published as py3 wheels (including files for Python 3.13). [1][2]
Sources:
[1] openai/openai-python (README: "Python 3.9+").
[2] openai on PyPI / piwheels (recent py3 wheels, files for Python 3.13).
🌐 Web query:
boto3 python 3.13 support
💡 Result:
Yes — boto3 supports Python 3.13. The current PyPI release (boto3 1.41.5, released Nov 26, 2025) lists "Requires: Python >=3.9" and includes classifiers for Python 3.13. [1]
Sources:
- boto3 on PyPI (project page, classifiers & requires). [1]
Upgrade google-generativeai to 0.8.5+ or migrate to google-genai SDK for Python 3.13 support.
The template specifies Python 3.13 as the runtime, but google-generativeai==0.7.2 does not support Python 3.13. Maintainers recommend either upgrading to google-generativeai 0.8.5+ (which includes CPython 3.13 wheels) or migrating to the newer google-genai SDK. The openai and boto3 dependencies are compatible with Python 3.13.
Additionally, update the tool configurations in pyproject.toml (ruff, black, mypy) from py312/3.12 to py313/3.13 to ensure code quality tools validate against the actual runtime version.
🤖 Prompt for AI Agents
In backend/template.yaml around lines 5 to 14 the SAM template sets Runtime:
python3.13 but the project depends on google-generativeai==0.7.2 which lacks
CPython 3.13 support; update the dependency to google-generativeai>=0.8.5 (or
replace it with the new google-genai SDK) in your dependency files and ensure
any import changes required by migrating to google-genai are applied;
additionally update pyproject.toml tool target versions (ruff, black, mypy) from
py312 or 3.12 to py313 or 3.13 so linters/formatters/type-checkers match the
runtime.
| assert result is True, "Sentiment result upload should succeed" | ||
|
|
||
| print(f"\n✓ Sentiment result uploaded successfully") | ||
| print("\n✓ Sentiment result uploaded successfully") |
There was a problem hiding this comment.
Restore f-string interpolation in test output.
Replacing f-strings with plain strings removes valuable diagnostic information from test logs (elapsed times, file sizes, object counts, etc.). This degrades the usefulness of test output for debugging failures.
For example, at line 86, restore the interpolated values:
- print("\n✓ Sentiment result uploaded successfully")
+ print(f"\n✓ Sentiment result uploaded successfully to {key}")Apply similar fixes to all affected print statements to preserve runtime diagnostic data.
Also applies to: 116-116, 139-139, 167-167, 212-212, 237-237, 315-315, 336-336, 359-359
🤖 Prompt for AI Agents
In backend/tests/integration/test_s3_integration.py around line 86 (and
similarly at lines 116, 139, 167, 212, 237, 315, 336, 359), print statements
were changed from f-strings to plain strings, removing interpolated diagnostic
values; restore f-string interpolation so each print includes its runtime
variables (elapsed times, file sizes, object counts, etc.) by converting the
affected plain-string prints back into f-strings that reference the appropriate
variables in scope.
There was a problem hiding this comment.
Actionable comments posted: 3
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
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- .github/workflows/deploy-backend-production.yml
- .github/workflows/frontend-tests.yml
- .github/workflows/backend-tests.yml
- .github/workflows/deploy-backend-staging.yml
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- docs/README.md
- .github/workflows/ci.yml
🔇 Additional comments (11)
.gitignore (2)
1-48: Well-organized and comprehensive ignore patterns.The updated
.gitignorealigns well with the PR's scope (removing docs, refactoring backend, adding frontend/mobile scaffolding). Coverage is solid: modern build outputs (web-build/, dist/, ios/), Python hygiene (.venv*/, .pytest_cache/, .ruff_cache/, .egg-info/), secrets (.env, .env.deploy), and development artifacts (node_modules/, npm-debug., coverage/, *.log).Organization is clear, and patterns correctly distinguish directories (trailing /) from file globs. No duplication detected.
18-19: Clarify intent of*.env.deploypattern.Verify that
*.env.deployis intended to ignore all deployment environment files. If some non-secret deployment configs should be committed (e.g., non-sensitive environment templates or deployment scripts), consider refining this pattern to be more specific (e.g.,.env.deploy.localor.env.*.deploy).README.md (4)
1-15: Header and badge styling look good.The new header is cleaner and more readable with the centered layout and curated badge set. The project description and call-to-action are clear.
56-56: Internal documentation link is valid and up-to-date.The
docs/README.mdfile exists and contains current project documentation with an Overview section, links to API and Architecture documentation, and Development setup instructions. The reference on line 56 is accurate.
33-40: All npm scripts are properly defined and match documented behavior.The verification confirms that all three npm scripts referenced in the README Quick Start section are correctly defined in
package.json:
npm startruns the Expo dev server as documentednpm run deploybuilds and deploys the backend using SAM as documentednpm run checkruns lint checks and tests as documentedThe review comment's concern is unfounded—no issues found.
48-54: Documentation is accurate but potentially misleading about samconfig.toml.Verification confirms all three parameters (GeminiApiKey, OpenAIApiKey, ProductionOrigins) are correctly defined in
backend/template.yamlwith matching descriptions. However, the README's reference to "Configuration inbackend/samconfig.toml" is imprecise: samconfig.toml contains deployment settings (stack name, region, capabilities), while the actual application parameters are defined inbackend/template.yaml. The documentation itself is factually correct, but clarity could be improved by noting that CloudFormation parameters are defined in template.yaml.backend/requirements.txt (1)
10-10: google-generativeai upgrade fixes Python 3.13 compatibility.The update to >=0.8.5 resolves the Python 3.13 incompatibility issue flagged in prior reviews. This version includes CPython 3.13 wheels and aligns with the python3.13 runtime specified in template.yaml.
backend/template.yaml (4)
34-81: CORS security: Conditional logic is improved, but dev mode still risky.The CORS configuration now uses conditional logic (IsDevMode, HasProductionOrigins) instead of the hardcoded "*" flagged in prior reviews—a significant improvement. However, when
IncludeDevOrigins=true, the API still allows requests from any origin (line 68–69). This setting should never be enabled in production deployments. Recommend adding documentation or a stack policy to prevent accidental production deployment withIncludeDevOrigins=true.Verify that:
- Default parameter values (IncludeDevOrigins: 'false', ProductionOrigins: '') are correct for production deployments.
- CI/CD pipelines enforce these safe defaults and reject unsafe parameter combinations.
- Deployment runbooks clearly warn against enabling dev origins in production.
48-48: Clarify S3 resource behavior for non-production environments.The
CreateDataBucketcondition (line 48) only creates the S3 data bucket whenEnvironment=production. However, theFloatFunctionpolicies (lines 103–106) unconditionally grant S3 access, and theS3DataBucketparameter defaults to'float-cust-data'even for staging deployments. This mismatch could cause runtime errors:
- In staging (Environment ≠ production), no bucket is created, but the Lambda function still attempts to access
'float-cust-data'.- If that bucket doesn't exist or is in a different account, the function will fail.
Clarify the intended behavior:
- Should staging environments also create S3 buckets (remove or adjust the condition)?
- Should S3 policies be conditional on
CreateDataBucket?- Are pre-existing buckets required for non-production environments?
Document your approach in the template comments or deployment guide.
Also applies to: 103-106, 135-149
151-173: Stack outputs are well-structured and appropriately exported.The outputs correctly expose API endpoints and resource references for downstream tooling while protecting sensitive data (API keys remain unexported). Export names using
${AWS::StackName}prefix prevent cross-stack collisions.
50-59: LGTM: Globals and function-level resource configuration is appropriate.The global defaults (512 MB, 30s timeout, Python 3.13) are reasonable, and the FloatFunction's overrides (1 GB, 60s timeout) are explicit and justified for the meditation/analysis workload. PYTHONPATH configuration correctly targets the src directory.
backend/requirements.txt
Outdated
| idna==3.7 | ||
| proto-plus==1.24.0 | ||
| protobuf==4.25.4 | ||
| protobuf>=5.29.3 |
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echo "=== Checking google-generativeai version ==="
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echo -e "\n=== Searching for protobuf imports in backend code ==="
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🌐 Web query:
google-generativeai 0.8.5 protobuf 5.x compatibility
💡 Result:
Short answer: Unknown officially — google-generativeai 0.8.5 does not declare a specific protobuf major version on PyPI, but community reports and protobuf 5.x API changes can break older Google client code, so treat protobuf 5.x as potentially incompatible. Recommend pinning protobuf to 4.x (e.g. protobuf<5) until upstream confirms support or you verify in a safe environment. [1][2][3]
Sources
- google-generativeai PyPI metadata (0.8.5) — lists "protobuf" as a dependency but no strict version pin. [1]
- google-ai-generativelanguage changelog / deps (related Google client libraries require proto-plus/protobuf compatibility). [2]
- Known protobuf-5-related import/runtime breakages and fixes (examples of Runtime_Version / import errors when protobuf API changes). [3]
References
[1] PyPI: google-generativeai (0.8.5).
[2] google-ai-generativelanguage changelog / requirements.
[3] Reported protobuf 5 import/runtime incompatibility discussion.
Protobuf 5.x compatibility is not explicitly declared by google-generativeai 0.8.5+.
Web search confirms that google-generativeai 0.8.5 lists protobuf as a dependency without a strict version constraint. Protobuf 5.x introduced API changes that can break older Google client code. While backend code does not directly import protobuf (verified via codebase search), the risk remains in transitive dependencies at runtime.
Recommend reverting to protobuf<5 or pinning to a specific 4.x version (e.g., protobuf==4.25.4) until google-generativeai explicitly declares protobuf 5.x support. Using >=5.29.3 without testing this version combination risks runtime failures in production.
🤖 Prompt for AI Agents
In backend/requirements.txt around line 17, the protobuf dependency is set to
protobuf>=5.29.3 which may be incompatible with google-generativeai >=0.8.5;
change the requirement to pin protobuf to a 4.x version (for example
protobuf==4.25.4) or use protobuf<5 to avoid pulling in Protobuf 5.x at runtime.
Update the requirements line accordingly and run dependency resolution / tests
to verify no conflicts with other packages before committing.
| ## Prerequisites | ||
|
|
||
| See [infrastructure/README.md](infrastructure/README.md) and [infrastructure/DEPLOYMENT.md](infrastructure/DEPLOYMENT.md) for detailed deployment instructions. | ||
| - **Node.js** v24 LTS | ||
| - **Python** 3.13+ | ||
| - **AWS CLI** configured (`aws configure`) | ||
| - **AWS SAM CLI** for deployment |
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Update the Python version requirement from 3.13+ to >=3.12 in README.md and add explicit Node.js version constraint to package.json if v24 LTS is required.
The project configuration shows discrepancies:
- Python:
backend/pyproject.tomlspecifiesrequires-python = ">=3.12"(not 3.13+), with ruff and mypy also configured for Python 3.12. Whiletemplate.yamlspecifiespython3.13as the Lambda runtime, the project's actual minimum Python requirement is 3.12. - Node.js:
package.jsonhas noenginesfield defined, so v24 LTS is not enforced. Add an engines constraint if v24 LTS is genuinely required.
🤖 Prompt for AI Agents
In README.md around lines 26 to 31, the Python version note is incorrect (shows
3.13+) and there is no Node.js engine constraint in package.json; update the
README to state "Python >=3.12" to match backend/pyproject.toml, and if you
truly require Node v24 LTS add an "engines" entry to package.json (e.g. "node":
">=24 <25") to enforce it; also double-check and, if intended, reconcile
template.yaml's Lambda runtime (python3.13) with the project's minimum Python
(>=3.12) and update either the template or the pyproject/README so they agree.
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🔇 Additional comments (3)
.github/workflows/ci.yml (3)
67-76: LGTM!The backend test configuration with ruff linting and pytest is well-structured. The environment variables (AWS_DEFAULT_REGION, S3_BUCKET) and PYTHONPATH are appropriately set for backend tests, and the pip cache is correctly configured.
78-91: LGTM!The status-check job correctly aggregates results from all workflow jobs and provides clear success/failure messaging. The use of
if: always()ensures it runs regardless of prior failures, allowing proper reporting.
18-18: Both Node.js 24 and Python 3.13 are now stable and production-ready.Node.js 24 was promoted to Active LTS in October 2025 and is supported through April 30, 2028. Python 3.13 has been stable since October 2024 with ongoing maintenance releases. Both versions are suitable for production CI/CD pipelines.
| on: | ||
| push: | ||
| pull_request: |
There was a problem hiding this comment.
Add branch filtering to the workflow trigger.
The trigger is not restricted to specific branches, so the workflow will execute on every push to any branch and every pull request. According to the PR summary, it should only run on main and develop branches. This will waste CI resources.
Apply this diff to restrict the trigger to specific branches:
on:
- push:
- pull_request:
+ push:
+ branches: [main, develop]
+ pull_request:
+ branches: [main, develop]📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| on: | |
| push: | |
| pull_request: | |
| on: | |
| push: | |
| branches: [main, develop] | |
| pull_request: | |
| branches: [main, develop] |
🤖 Prompt for AI Agents
.github/workflows/ci.yml lines 3-5: the workflow trigger currently fires on
every push and every pull request; restrict it to only the main and develop
branches by adding branch filters for both push and pull_request (i.e., set
push.branches to ["main","develop"] and pull_request.branches to
["main","develop"]) so the workflow runs only for those branches.
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Actionable comments posted: 0
🧹 Nitpick comments (1)
backend/requirements.txt (1)
4-4: Unpinned transitive dependencies introduce version volatility.Lines 4 (boto3), 5 (openai), and 10 (jinja2) are listed without version constraints. This allows major version changes to be installed during future dependency updates, potentially introducing breaking changes.
Consider pinning these to minimum versions (e.g.,
boto3>=1.x.y) to maintain consistency with the pinned dev tools and reduce runtime surprises.Also applies to: 5-5, 10-10
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backend/requirements-dev.txt (1)
2-8: ✓ Dev dependency pinning strategy is sound.Exact version pins for dev tools (pytest, pytest-mock, requests-mock, moto, ruff) ensure reproducible CI builds and consistent linting/testing behavior across environments. This is a good practice.
However, verify that the removed dependencies (per AI summary: wide-ranging tooling like pytest with version ranges, pytest-cov, typing stubs, core libs) are not critical for CI, particularly if pytest-cov was previously used for coverage reporting.
backend/requirements.txt (1)
2-10: protobuf compatibility concern is not substantiated for google-generativeai>=0.8.5.The requirements.txt file does not explicitly pin protobuf, allowing transitive dependency resolution from google-generativeai. Web search indicates that recent google-generativeai client libraries (as of early 2025) have added explicit support for Protobuf 6.x and declare their supported protobuf versions within their package metadata. The claimed incompatibility between protobuf>=5.29.3 and google-generativeai>=0.8.5 is not reflected in current library documentation, suggesting this concern may have been resolved upstream or is not applicable to this specific version.
No action required on protobuf constraints at this time; google-generativeai's declared dependencies will handle transitive protobuf resolution appropriately.
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Actionable comments posted: 5
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (4)
frontend/components/AudioRecording.tsx (1)
4-35: NormalizeStartRecordingreturn type to avoidundefinedIn the permission-denied branch you
return;(Line 9), while other failure paths fall through toreturn null;(Line 34). This means the function can resolve toundefinedin one path andnullin others, which weakens typings and can be surprising for callers expecting a consistentAudio.Recording | null.Consider making the return type explicit and always returning
nullon failure:-export async function StartRecording() { +export async function StartRecording(): Promise<Audio.Recording | null> { @@ - if (status !== 'granted') { - console.error('Permission to access microphone is required!'); - return; - } + if (status !== 'granted') { + console.error('Permission to access microphone is required!'); + return null; + }This keeps the runtime behavior clear and the type surface predictable for consumers of
StartRecording.backend/tests/unit/test_lambda_handler.py (1)
117-123: Add localLambdaHandlerimports to six test functions to resolve F821/NameError.The following test functions construct
LambdaHandlerwithout importing it, which Ruff flags as F821 and would raiseNameErrorat runtime:
- Line 117:
test_summary_request_routes_to_handle_summary_request- Line 213:
test_meditation_request_routes_to_handle_meditation_request- Line 244:
test_meditation_request_with_all_required_fields- Line 285:
test_meditation_request_with_music_list_processes_correctly- Line 372:
test_handler_catches_and_formats_exceptions- Line 454:
test_handler_uses_default_ai_service_when_not_injectedAdd
from src.handlers.lambda_handler import LambdaHandlerat the start of each function body, following the pattern already established in other tests in this file (e.g.,test_handler_accepts_injected_ai_service).frontend/app/(tabs)/explore.tsx (1)
86-104: Move deletion logic into the handler and removeanyannotations to resolve lint warningsThe
useEffectlogic is sound, but the code has two lint issues:
@typescript-eslint/no-explicit-anywarns onprevIncidents: any[], the filter's_: any, andincident: anyin the mapreact-hooks/recommendedflagssetIncidentListandsetRenderKeybeing called inside effects with dependencies they affectRefactor
useIncidentDeletionto perform deletion in the event handler directly:-function useIncidentDeletion() { - const [asyncDeleteIncident, setAsyncDeleteIncident] = useState<number | null>(null); - const { incidentList, setIncidentList } = useIncident(); - const cancelScheduledNotification = useCallback(async (notificationId: string) => { - await Notifications.cancelScheduledNotificationAsync(notificationId); - }, []); - - useEffect(() => { - if (asyncDeleteIncident !== null) { - setIncidentList((prevIncidents: any[]) => - prevIncidents.filter((_: any, i: number) => i !== asyncDeleteIncident) - ); - if (Platform.OS !== 'web' && incidentList[asyncDeleteIncident]?.notificationId) { - cancelScheduledNotification( - (incidentList[asyncDeleteIncident].notificationId ?? '') as string - ); - } - setAsyncDeleteIncident(null); - } - }, [asyncDeleteIncident, incidentList, setIncidentList, cancelScheduledNotification]); - const handleDeleteIncident = useCallback((index: number) => { - setAsyncDeleteIncident(index); - }, []); +import { Incident } from '@/frontend/context/IncidentContext'; + +function useIncidentDeletion() { + const { incidentList, setIncidentList } = useIncident(); + const cancelScheduledNotification = useCallback(async (notificationId: string) => { + await Notifications.cancelScheduledNotificationAsync(notificationId); + }, []); + + const handleDeleteIncident = useCallback( + async (index: number) => { + const incidentToDelete = incidentList[index]; + if (Platform.OS !== 'web' && incidentToDelete?.notificationId) { + await cancelScheduledNotification(incidentToDelete.notificationId as string); + } + setIncidentList((prevIncidents) => prevIncidents.filter((_, i) => i !== index)); + }, + [incidentList, setIncidentList, cancelScheduledNotification] + ); return { - handleDeleteIncident, - setAsyncDeleteIncident, + handleDeleteIncident, }; }Replace the map callback:
- {incidentList.map((incident: any, index: number) => { + {incidentList.map((incident: Incident | null, index: number) => {For the second lint issue, replace the
renderKeystate with a derived value (e.g., a hash or counter based oncolorChangeArrayOfArrays) to eliminate thesetRenderKeyeffect entirely.frontend/components/BackendMeditationCall.tsx (1)
42-54: Add runtime validation for lambdaUrl.The comment claims runtime validation, but the function doesn't validate that
lambdaUrlis non-empty before callingfetch. IfEXPO_PUBLIC_LAMBDA_FUNCTION_URLis not set and no override is provided, the fetch call will fail with an empty URL.Apply this diff to add validation:
export async function BackendMeditationCall( selectedIndexes: number[], resolvedIncidents: IncidentData[], musicList: string[], userId: string, lambdaUrl: string = LAMBDA_FUNCTION_URL ): Promise<MeditationResponse> { + if (!lambdaUrl) { + throw new Error('Lambda function URL is not configured. Please set EXPO_PUBLIC_LAMBDA_FUNCTION_URL.'); + } const dict = getTransformedDict(resolvedIncidents, selectedIndexes);
🧹 Nitpick comments (9)
tests/frontend/integration/test-utils.tsx (1)
191-239: ScopemockAsyncStorage.resetto storage-only and avoid redundant globaljest.clearAllMocksThe shared
asyncStorageStoreMap and the async CRUD/multi-* methods look good and match AsyncStorage’s Promise API.One concern:
mockAsyncStorage.resetnow callsjest.clearAllMocks(), which:
- Clears all Jest mocks globally, not just AsyncStorage-related ones, which is broader than the comment “Helper to reset the mock store” suggests.
- Is redundant with
resetAllMocks(), which already callsjest.clearAllMocks()beforemockAsyncStorage.reset().This can surprise tests that call
mockAsyncStorage.reset()intending only to clear storage, and it double‑clears mocks whenresetAllMocks()is used.Recommend making
resetstorage‑scoped and lettingresetAllMocks()remain the global hammer:// Helper to reset the mock store reset: () => { - asyncStorageStore.clear(); - jest.clearAllMocks(); + asyncStorageStore.clear(); },This keeps behavior intuitive (AsyncStorage reset vs. global reset) and removes the unnecessary double
jest.clearAllMocks()call.tests/frontend/unit/Guidance-test.tsx (1)
8-22: Typed MockCollapsible props look good; consider reusing the interface in the mock factory
MockCollapsiblePropsand the inline type in theCollapsiblemock both describe the same shape. To keep things DRY and easier to evolve, you can reuseMockCollapsiblePropsin the mock factory instead of redefining the props type inline.backend/tests/unit/test_lambda_handler.py (1)
408-415:test_unsupported_request_type_raises_errorduplicates existing invalid-type test; consider parametrizing.This test exercises
parse_request_bodywith an unsupportedinference_typevalue and asserts the sameValueErrorpattern astest_request_with_invalid_type_valueabove. To keep the suite DRY, you could parametrize a single test over multiple invalid values instead of maintaining two nearly identical tests.Example:
@pytest.mark.parametrize("inference_type", ["invalid_type", "unsupported"]) def test_request_with_invalid_type_value_parametrized(inference_type): from src.models.requests import parse_request_body body = { "user_id": "user-123", "inference_type": inference_type, "prompt": "Test prompt", } with pytest.raises(ValueError, match="Invalid inference_type"): parse_request_body(body)Optional, but would reduce duplication and keep intent clear.
frontend/app/(tabs)/explore.tsx (1)
18-31: InlinehandlePressclosure is fine but slightly harder to scanThe new single‑line
(index) => () => { ... }form is functionally identical, but it’s a bit dense; consider restoring line breaks around the innersetSelectedIndexescallback for readability, especially as the selection logic grows.frontend/context/IncidentContext.tsx (1)
15-22: ExportingIncidentContextTypeis a good improvementMaking
IncidentContextTypepublic lets consumers typeuseIncidentand context props cleanly, without changing runtime behavior.frontend/components/Notifications.tsx (1)
5-22: Notification side‑effects removed; flow preservedSwapping console logs for no‑op callbacks and adding the TODO keeps registration and listeners wired up while quieting runtime output. When you implement the notification UI, consider also adding basic error handling around
registerForPushNotificationsAsync()so rejections don’t bubble as unhandled promises.tests/frontend/unit/Notifications-test.tsx (1)
161-196: Tests correctly match the new non‑logging notification behaviorRenaming the tests and switching assertions to “callback does not throw” cleanly align them with the component’s new no‑log behavior while still validating that listeners are wired up via the mocks.
frontend/components/ScreenComponents/MeditationControls.tsx (1)
26-47: Playback finish cleanup is solid; consider revoking blob URLs on webThe updated logic (toggling
isPausing, unloadingnewSound, clearingsoundandmeditationURIwhendidJustFinishis true) makes the playback lifecycle much cleaner. On web, you might also want to revoke theblobUrlyou create withURL.createObjectURLto avoid leaking object URLs:- const blobUrl = URL.createObjectURL(blob); - uri = blobUrl; + const blobUrl = URL.createObjectURL(blob); + uri = blobUrl; + // Later, after playback finishes: + URL.revokeObjectURL(blobUrl);(Guard this with a platform check if needed.)
package.json (1)
10-10: Consider removing the --forceExit flag.The
--forceExitflag forces Jest to exit after tests complete, which can hide issues like:
- Async operations not properly cleaned up
- Open handles (timers, connections, file handles)
- Resource leaks
This flag should only be used as a last resort. Consider identifying and fixing the root cause of why Jest isn't exiting cleanly.
To identify open handles, temporarily run:
jest --detectOpenHandlesIf
--forceExitis necessary for now, add a comment explaining why and track it as technical debt.
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backend/template.yaml(0 hunks)backend/tests/integration/test_gemini_integration.py(3 hunks)backend/tests/unit/test_lambda_handler.py(5 hunks)frontend/app.config.js(0 hunks)frontend/app/(tabs)/explore.tsx(2 hunks)frontend/app/(tabs)/index.tsx(2 hunks)frontend/app/+not-found.tsx(1 hunks)frontend/components/AudioRecording.tsx(1 hunks)frontend/components/AuthScreen.tsx(2 hunks)frontend/components/BackendMeditationCall.tsx(3 hunks)frontend/components/BackendSummaryCall.tsx(1 hunks)frontend/components/LocalFileLoadAndSave.tsx(3 hunks)frontend/components/Notifications.tsx(1 hunks)frontend/components/ScreenComponents/MeditationControls.tsx(2 hunks)frontend/context/IncidentContext.tsx(1 hunks)package.json(1 hunks)tests/frontend/integration/test-utils.tsx(1 hunks)tests/frontend/unit/Guidance-test.tsx(2 hunks)tests/frontend/unit/IncidentItem-test.tsx(4 hunks)tests/frontend/unit/Notifications-test.tsx(1 hunks)
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🧬 Code graph analysis (4)
tests/frontend/integration/test-utils.tsx (1)
tests/frontend/unit/utils/testUtils.tsx (1)
mockAsyncStorage(149-158)
tests/frontend/unit/Notifications-test.tsx (1)
frontend/components/Notifications.tsx (1)
FloatNotifications(5-33)
frontend/components/BackendSummaryCall.tsx (1)
backend/src/models/responses.py (1)
SummaryResponse(24-34)
backend/tests/unit/test_lambda_handler.py (6)
backend/src/config/constants.py (1)
InferenceType(4-6)backend/src/models/requests.py (3)
MeditationRequest(34-54)SummaryRequest(15-30)parse_request_body(81-104)backend/src/handlers/lambda_handler.py (1)
handle_meditation_request(87-118)backend/tests/conftest.py (1)
mock_ai_service(19-37)backend/src/services/ai_service.py (1)
generate_meditation(13-13)backend/src/services/gemini_service.py (1)
generate_meditation(197-210)
🪛 GitHub Actions: CI
frontend/app/+not-found.tsx
[warning] 11-11: Unexpected any. Specify a different type
frontend/app/(tabs)/explore.tsx
[error] 102-102: Calling setState synchronously within an effect can trigger cascading renders. Avoid calling setState directly within an effect.
[error] 128-128: Calling setState synchronously within an effect can trigger cascading renders. Avoid calling setState directly within an effect.
[warning] 47-47: Unexpected any. Specify a different type
[warning] 47-47: Unexpected any. Specify a different type
[warning] 94-94: Unexpected any. Specify a different type
[warning] 95-95: Unexpected any. Specify a different type
[warning] 155-155: Unexpected any. Specify a different type
backend/tests/unit/test_lambda_handler.py
[error] 3-3: Ruff check: Import block is unsorted or un-formatted.
[error] 6-6: F811: Redefinition of unused pytest from line 6.
[error] 121-121: F821 Undefined name LambdaHandler.
[error] 221-221: F821 Undefined name LambdaHandler.
[error] 253-253: F821 Undefined name LambdaHandler.
[error] 294-294: F821 Undefined name LambdaHandler.
[error] 377-377: F821 Undefined name LambdaHandler.
[error] 458-458: F821 Undefined name LambdaHandler.
frontend/app/(tabs)/index.tsx
[warning] 84-84: Unexpected any. Specify a different type
[warning] 100-100: Unexpected any. Specify a different type
🪛 GitHub Check: Frontend Linting & Type Check
frontend/app/+not-found.tsx
[warning] 11-11:
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frontend/app/(tabs)/index.tsx
[warning] 100-100:
Unexpected any. Specify a different type
🔇 Additional comments (11)
tests/frontend/unit/IncidentItem-test.tsx (4)
18-35: Solid, flexible typing for MockCollapsible
MockCollapsiblePropsplus the[key: string]: unknownindex signature and spreading...propsinto theViewgive you a type-safe mock that can still accept arbitrary view/test props. Implementation matches the interface cleanly.
79-81: Regex-based text assertion is a reasonable way to ignore time detailsUsing
/Short summary - 12\/20\/2023,/focuses the assertion on the stable date prefix and avoids depending on the exact time formatting. This is a pragmatic way to make the test less brittle.
113-118: Regex-based target for fireEvent keeps the click selector in sync with the assertionReusing the same regex for
getByTextin thefireEvent.presscall keeps the selector tolerant of formatting changes while still precise enough to hit the intended element.
38-44: The jest.mock paths are actually correct; the issue is with the import paths in the test fileThe tsconfig.json path mapping
"@/*": ["./frontend/*"]means that@/context/IncidentContextcorrectly resolves to./frontend/context/IncidentContext, and@/components/Collapsiblecorrectly resolves to./frontend/components/Collapsible. These are the actual file locations and the mocks target them properly.The test file's imports use
@/frontend/context/IncidentContextand@/frontend/components/Collapsible, which would incorrectly resolve to./frontend/frontend/context/IncidentContextand./frontend/frontend/components/Collapsible(paths that don't exist). Fix the imports to use@/context/IncidentContextand@/components/Collapsibleinstead to match the jest.mock paths and the alias mapping.Likely an incorrect or invalid review comment.
backend/tests/unit/test_lambda_handler.py (1)
13-14: ffmpeg availability flag for audio tests looks appropriate.Using
FFMPEG_AVAILABLE = shutil.which("ffmpeg") is not Noneto gate ffmpeg‑dependent tests is a reasonable approach for making these tests conditional on the environment.frontend/components/AuthScreen.tsx (1)
43-52: Google sign‑in flow: log removal looks safeYou’ve only removed console logging; the construction of
googleUser, AsyncStorage writes, andsetUsercalls remain unchanged for both web and native flows, so behavior is preserved.Also applies to: 64-70
frontend/app/(tabs)/index.tsx (1)
76-101: Summary submission logic is fine; tighten types and avoidas anyThe control flow looks correct, but the new
anytypes are causing lint warnings:
let response: any;in the try blockrouter.push('/explore' as any);in finallyBoth can be removed without changing behavior. TypeScript will infer the return type from
BackendSummaryCall, androuter.push()accepts string literals without type assertion. The refactored version consolidates the branching logic:- try { - let response: any; - if (recording) { - const base64_file = await StopRecording(recording); - response = await BackendSummaryCall( - base64_file ?? '', - separateTextPrompt, - user?.id ?? '' - ); - } else { - response = await BackendSummaryCall(URI, separateTextPrompt, user?.id ?? ''); - } - setIncidentList((prevList) => [response, ...prevList]); + try { + const audioSource = + recording ? (await StopRecording(recording)) ?? '' : URI; + const response = await BackendSummaryCall( + audioSource, + separateTextPrompt, + user?.id ?? '' + ); + setIncidentList((prevList) => [response, ...prevList]); onSubmitSuccess(); } catch (error) { console.error('Failed to call summary lambda:', error); } finally { setSubmitActivity(false); - router.push('/explore' as any); + router.push('/explore'); }frontend/components/BackendMeditationCall.tsx (3)
56-64: LGTM!The payload structure correctly includes the new
music_list,transformed_dict, anduser_idfields, aligning with the extended API.
73-91: LGTM!Error handling is comprehensive with appropriate checks for HTTP errors, invalid response structure, and general exceptions.
49-54: All callers have been properly updated. Theexplore.tsxusage provides all required parameters (selectedIndexes,incidentList,musicList, anduser?.id), and all test cases comprehensively cover the new parameters. The fifth parameterlambdaUrlhas a default value, so its omission is valid.package.json (1)
2-2: LGTM!Package name updated to match the project name.
| import shutil | ||
| from unittest.mock import MagicMock, patch | ||
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Fix duplicate pytest import and import block ordering.
Lines 6 and 8 both import pytest, and the import block is unsorted. Ruff enforces standard grouping: stdlib imports first (shutil, unittest.mock), then third-party imports (pytest), then local imports (src.*).
Remove the duplicate and reorder:
import shutil
from unittest.mock import MagicMock, patch
import pytest
-
-import pytest
from src.config.constants import InferenceType📝 Committable suggestion
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| import shutil | |
| from unittest.mock import MagicMock, patch | |
| import pytest | |
| import pytest | |
| import shutil | |
| from unittest.mock import MagicMock, patch | |
| import pytest |
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[error] 6-6: F811: Redefinition of unused pytest from line 6.
🤖 Prompt for AI Agents
In backend/tests/unit/test_lambda_handler.py around lines 3 to 8, the test file
currently imports pytest twice and has unsorted import groups; remove the
duplicate pytest import and reorder imports to follow standard grouping:
standard library imports first (shutil, unittest.mock), then third-party
(pytest), then local/project imports. Ensure there's a single pytest import and
format the import block accordingly.
| <ThemedView style={styles.container}> | ||
| <ThemedText type="title">This screen doesn't exist.</ThemedText> | ||
| <Link href="/" style={styles.link}> | ||
| <Link href={'/' as any} style={styles.link}> |
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🌐 Web query:
expo-router 3.5.21 Link href prop type documentation
💡 Result:
The Link component's href prop accepts either a string or an object (HrefObject) with a pathname and optional params — i.e. href: string | { pathname: string, params?: Record<string, any> }. See Expo Router docs. [1][2]
Sources:
[1] expo-router v3.5.21 on npm (package/version).
[2] Expo Router Link href documentation (href type and HrefObject examples).
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Remove the unnecessary as any type cast from the Link href prop.
In expo-router 3.5.21, the Link component's href prop accepts string | { pathname: string, params?: Record<string, any> }. The string '/' is a valid href value and does not require the as any cast. The cast bypasses TypeScript's type checking and causes linting warnings.
Change line 11 from:
<Link href={'/' as any} style={styles.link}>
to:
<Link href="/" style={styles.link}>
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[warning] 11-11: Unexpected any. Specify a different type
🪛 GitHub Check: Frontend Linting & Type Check
[warning] 11-11:
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🤖 Prompt for AI Agents
In frontend/app/+not-found.tsx around line 11, remove the unnecessary and unsafe
TypeScript cast on the Link href prop; replace the current href expression that
uses "as any" with a plain string literal "/" so Link href prop is typed
correctly and linter warnings are removed.
| const httpResponse = await fetch(lambdaUrl, { | ||
| method: 'POST', | ||
| headers: { | ||
| 'Content-Type': 'application/json', | ||
| }, | ||
| body: serializedData, | ||
| }); | ||
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| if (!httpResponse.ok) { | ||
| const errorText = await httpResponse.text(); | ||
| const errorMessage = `Request to Summary Lambda URL failed with status ${httpResponse.status}: ${errorText}`; | ||
| console.error(errorMessage); | ||
| throw new Error(errorMessage); | ||
| } | ||
|
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| const lambdaPrimaryResponse = await httpResponse.json(); | ||
| if (!lambdaPrimaryResponse || typeof lambdaPrimaryResponse !== 'object') { | ||
| const errorMessage = `Invalid response structure from Lambda. Expected a 'body' string. Received: ${JSON.stringify(lambdaPrimaryResponse)}`; | ||
| console.error(errorMessage); | ||
| throw new Error(errorMessage); | ||
| } | ||
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| const finalResponsePayload: SummaryResponse = lambdaPrimaryResponse; | ||
| // Apply post-processing logic | ||
| if (Platform.OS !== 'web') { | ||
| if (finalResponsePayload.sentiment_label && finalResponsePayload.intensity !== undefined) { | ||
| finalResponsePayload.notification_id = await schedulePushNotification( | ||
| finalResponsePayload.sentiment_label, | ||
| finalResponsePayload.intensity | ||
| ); | ||
| } | ||
| finalResponsePayload.timestamp = new Date().toISOString(); | ||
| finalResponsePayload.color_key = 0; | ||
| return finalResponsePayload; | ||
| } catch (error) { | ||
| const errorMessage = error instanceof Error ? error.message : String(error); | ||
| console.log(`Error in BackendSummaryCall: ${errorMessage}`); | ||
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| } | ||
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Intensity type mismatch requires defensive normalization; error message needs updating
The backend sends intensity as a string (1–5 scale from Gemini), but the frontend SummaryResponse interface and schedulePushNotification function both expect it as a number. Passing a string to the arithmetic calculation in schedulePushNotification would cause unexpected type coercion:
+ if (Platform.OS !== 'web') {
+ const { sentiment_label, intensity } = finalResponsePayload;
+ const numericIntensity =
+ typeof intensity === 'string' ? Number(intensity) : intensity;
+ if (sentiment_label && Number.isFinite(numericIntensity)) {
+ finalResponsePayload.notification_id = await schedulePushNotification(
+ sentiment_label,
+ numericIntensity as number
+ );
+ }
+ }Also, the error message on line 72 says "Expected a 'body' string" but you no longer extract a body field—the JSON object itself is the payload. Update it to match the actual contract:
- const errorMessage = `Invalid response structure from Lambda. Expected a 'body' string. Received: ${JSON.stringify(lambdaPrimaryResponse)}`;
+ const errorMessage = `Invalid response structure from Lambda. Expected an object with sentiment data. Received: ${JSON.stringify(lambdaPrimaryResponse)}`;📝 Committable suggestion
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| const httpResponse = await fetch(lambdaUrl, { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| }, | |
| body: serializedData, | |
| }); | |
| if (!httpResponse.ok) { | |
| const errorText = await httpResponse.text(); | |
| const errorMessage = `Request to Summary Lambda URL failed with status ${httpResponse.status}: ${errorText}`; | |
| console.error(errorMessage); | |
| throw new Error(errorMessage); | |
| } | |
| const lambdaPrimaryResponse = await httpResponse.json(); | |
| if (!lambdaPrimaryResponse || typeof lambdaPrimaryResponse !== 'object') { | |
| const errorMessage = `Invalid response structure from Lambda. Expected a 'body' string. Received: ${JSON.stringify(lambdaPrimaryResponse)}`; | |
| console.error(errorMessage); | |
| throw new Error(errorMessage); | |
| } | |
| const finalResponsePayload: SummaryResponse = lambdaPrimaryResponse; | |
| // Apply post-processing logic | |
| if (Platform.OS !== 'web') { | |
| if (finalResponsePayload.sentiment_label && finalResponsePayload.intensity !== undefined) { | |
| finalResponsePayload.notification_id = await schedulePushNotification( | |
| finalResponsePayload.sentiment_label, | |
| finalResponsePayload.intensity | |
| ); | |
| } | |
| finalResponsePayload.timestamp = new Date().toISOString(); | |
| finalResponsePayload.color_key = 0; | |
| return finalResponsePayload; | |
| } catch (error) { | |
| const errorMessage = error instanceof Error ? error.message : String(error); | |
| console.log(`Error in BackendSummaryCall: ${errorMessage}`); | |
| throw error; | |
| } | |
| finalResponsePayload.timestamp = new Date().toISOString(); | |
| finalResponsePayload.color_key = 0; | |
| return finalResponsePayload; | |
| } | |
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| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| }, | |
| body: serializedData, | |
| }); | |
| if (!httpResponse.ok) { | |
| const errorText = await httpResponse.text(); | |
| const errorMessage = `Request to Summary Lambda URL failed with status ${httpResponse.status}: ${errorText}`; | |
| console.error(errorMessage); | |
| throw new Error(errorMessage); | |
| } | |
| const lambdaPrimaryResponse = await httpResponse.json(); | |
| if (!lambdaPrimaryResponse || typeof lambdaPrimaryResponse !== 'object') { | |
| const errorMessage = `Invalid response structure from Lambda. Expected an object with sentiment data. Received: ${JSON.stringify(lambdaPrimaryResponse)}`; | |
| console.error(errorMessage); | |
| throw new Error(errorMessage); | |
| } | |
| const finalResponsePayload: SummaryResponse = lambdaPrimaryResponse; | |
| // Apply post-processing logic | |
| if (Platform.OS !== 'web') { | |
| if (finalResponsePayload.sentiment_label && finalResponsePayload.intensity !== undefined) { | |
| finalResponsePayload.notification_id = await schedulePushNotification( | |
| finalResponsePayload.sentiment_label, | |
| finalResponsePayload.intensity | |
| ); | |
| } | |
| } | |
| finalResponsePayload.timestamp = new Date().toISOString(); | |
| finalResponsePayload.color_key = 0; | |
| return finalResponsePayload; | |
| } |
| "rootDir": ".", | ||
| "roots": [ | ||
| "<rootDir>/tests/frontend", | ||
| "<rootDir>/frontend" | ||
| ], | ||
| "testMatch": [ | ||
| "**/*-test.tsx", | ||
| "**/*-test.ts" | ||
| ], | ||
| "setupFiles": [ | ||
| "./jest.setup.js" | ||
| ], | ||
| "setupFilesAfterEnv": [ | ||
| "./tests/unit/components/utils/setup.ts" | ||
| "./tests/frontend/unit/utils/setup.ts" | ||
| ], | ||
| "testPathIgnorePatterns": [ | ||
| "/node_modules/", | ||
| "/tests/unit/components/utils/", | ||
| "/tests/integration/setup.ts", | ||
| "/tests/integration/test-utils.tsx" | ||
| ] | ||
| "/tests/frontend/unit/utils/", | ||
| "/tests/frontend/integration/setup.ts", | ||
| "/tests/frontend/integration/test-utils.tsx" | ||
| ], | ||
| "moduleNameMapper": { | ||
| "^@/(.*)$": "<rootDir>/frontend/$1" | ||
| } |
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echo -e "\n=== Do the double-frontend paths exist? ==="
[ -f "frontend/frontend/context/AuthContext.tsx" ] && echo "✓ EXISTS" || echo "✗ NOT found at frontend/frontend/"
[ -f "frontend/context/AuthContext.tsx" ] && echo "✓ EXISTS at frontend/context/" || echo "✗ NOT found"
echo -e "\n=== Check if @/frontend/* imports resolve to @/* imports ==="
# Sample a file using @/frontend/ imports
echo "Content from a file with @/frontend/ imports:"
head -30 frontend/app/+not-found.tsx | grep -E "^import|^export"
echo -e "\n=== Compare with a file using @/ imports ==="
echo "Content from a file with @/ imports:"
head -30 tests/frontend/integration/meditation-flow-test.tsx | grep -E "^import|^export"Repository: HatmanStack/float
Length of output: 1359
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#!/bin/bash
# Check for other configs
echo "=== Checking tsconfig.json ==="
if [ -f "tsconfig.json" ]; then
cat tsconfig.json | grep -A 20 "paths"
else
echo "tsconfig.json not found"
fi
echo -e "\n=== Checking tsconfig in frontend ==="
if [ -f "frontend/tsconfig.json" ]; then
cat frontend/tsconfig.json | grep -A 20 "paths"
else
echo "frontend/tsconfig.json not found"
fi
echo -e "\n=== Checking babel.config.js ==="
if [ -f "babel.config.js" ]; then
cat babel.config.js
fi
echo -e "\n=== Checking if tests actually run and pass ==="
echo "Looking for test output or CI config:"
[ -f ".github/workflows/test.yml" ] && echo "Found test workflow"
[ -f ".github/workflows/ci.yml" ] && echo "Found CI workflow"
ls .github/workflows/ 2>/dev/null || echo "No workflows found"Repository: HatmanStack/float
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# Check CI test execution
echo "=== CI Workflow ==="
cat .github/workflows/ci.yml | grep -A 50 "test\|jest" | head -40
echo -e "\n=== Count files with @/frontend/* imports ==="
rg "from ['\"]@/frontend/" -g "*.tsx" -g "*.ts" . 2>/dev/null | wc -l
echo -e "\n=== Count files with @/ imports (non-frontend) ==="
rg "from ['\"]@/[^f]" -g "*.tsx" -g "*.ts" . 2>/dev/null | wc -l
echo -e "\n=== Show summary ==="
echo "Total imports using @/frontend/*:"
rg "from ['\"]@/frontend/" -g "*.tsx" -g "*.ts" . 2>/dev/null | wc -l
echo "Total imports using @/context/* or @/components/* etc:"
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Jest moduleNameMapper is misconfigured for actual import patterns used in the codebase.
The module alias configuration in Jest expects imports like @/context/AuthContext, but 99 files use @/frontend/context/AuthContext. The current moduleNameMapper "^@/(.*)$": "<rootDir>/frontend/$1" would incorrectly resolve @/frontend/* imports to frontend/frontend/*, creating broken paths.
The imports work because TypeScript's tsconfig.json paths ("@/*": ["./frontend/*"]) handles resolution, making the Jest moduleNameMapper redundant and misleading. Either:
- Standardize imports to use
@/context/*,@/components/*pattern consistently, or - Update Jest's moduleNameMapper to
"^@/frontend/(.*)$": "<rootDir>/frontend/$1"to reflect actual usage
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Actionable comments posted: 5
♻️ Duplicate comments (1)
frontend/app/+not-found.tsx (1)
11-11: Remove unnecessaryas anycast onLinkhrefThe
Linkcomponent accepts astringhref, so"/"is valid without casting. Theas anyweakens type safety and triggers the@typescript-eslint/no-explicit-anywarning surfaced by CI.You can simplify line 11 to satisfy linting and keep proper typing:
- <Link href={'/' as any} style={styles.link}> + <Link href="/" style={styles.link}>
🧹 Nitpick comments (2)
tests/frontend/integration/meditation-flow-test.tsx (2)
168-175: Incident typing alignment is correct; cast is optionalUsing a typed updater for
setIncidentListaligns with theIncident[]shape:setIncidentList((prev: Incident[]) => [ ...prev, { ...summary, meditation: data.meditation_text, timestamp: new Date(), } as Incident, ]);Given
Incident’s index signature andtimestamptype, this object is structurally compatible; theas Incidentcast is safe but likely redundant. You could drop the cast and let structural typing handle it, but it’s fine to keep if you prefer explicitness.
300-307:pause/stoptest no longer exercises controlsThe test is named
'should pause and stop playback'and the comment says “verify the controls work”, but the body now only checks the initial'Stopped'state and never presses thePauseorStopbuttons:const { getByTestId } = renderWithIncidentContext(<MeditationPlayerComponent />); // ... expect(getByTestId('playback-status')).toHaveTextContent('Stopped');Consider either:
- Firing
pressevents onpause-buttonandstop-buttonand asserting the status stays/returns to'Stopped', or- Renaming the test to reflect that it only verifies the default state.
This keeps test intent aligned with behavior.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (14)
backend/template.yaml(0 hunks)frontend/app.config.js(0 hunks)frontend/app/+not-found.tsx(1 hunks)frontend/components/AudioRecording.tsx(1 hunks)frontend/components/AuthScreen.tsx(2 hunks)frontend/components/LocalFileLoadAndSave.tsx(3 hunks)frontend/components/ScreenComponents/MeditationControls.tsx(2 hunks)tests/frontend/e2e/error-scenarios.e2e.ts(10 hunks)tests/frontend/integration/meditation-flow-test.tsx(5 hunks)tests/frontend/integration/test-utils.tsx(1 hunks)tests/frontend/unit/Guidance-test.tsx(2 hunks)tests/frontend/unit/IncidentColoring-test.tsx(3 hunks)tests/frontend/unit/IncidentItem-test.tsx(4 hunks)tests/frontend/unit/Notifications-test.tsx(1 hunks)
💤 Files with no reviewable changes (2)
- backend/template.yaml
- frontend/app.config.js
🚧 Files skipped from review as they are similar to previous changes (5)
- frontend/components/LocalFileLoadAndSave.tsx
- tests/frontend/unit/Notifications-test.tsx
- frontend/components/ScreenComponents/MeditationControls.tsx
- tests/frontend/unit/Guidance-test.tsx
- frontend/components/AuthScreen.tsx
🧰 Additional context used
🧬 Code graph analysis (2)
tests/frontend/integration/meditation-flow-test.tsx (2)
frontend/context/IncidentContext.tsx (1)
Incident(3-14)tests/frontend/integration/test-utils.tsx (1)
renderWithIncidentContext(160-165)
tests/frontend/unit/IncidentColoring-test.tsx (2)
frontend/components/IncidentColoring.tsx (1)
IncidentColoring(5-71)frontend/context/IncidentContext.tsx (3)
IncidentProvider(27-48)IncidentContextType(16-23)IncidentContext(25-25)
🪛 Biome (2.1.2)
tests/frontend/integration/test-utils.tsx
[error] 219-220: Expected a statement but instead found '<<<<<<<< HEAD:tests/frontend/integration/test-utils.tsx'.
Expected a statement here.
(parse)
[error] 223-224: Expected a statement but instead found '========'.
Expected a statement here.
(parse)
[error] 225-226: Expected a statement but instead found '>>>>>>>> origin/main:tests/integration/test-utils.tsx'.
Expected a statement here.
(parse)
tests/frontend/e2e/error-scenarios.e2e.ts
[error] 49-51: Expected a statement but instead found '========
await detoxExpect(element(by.id('error-message'))).toHaveText(/network|timeout|connection/i)'.
Expected a statement here.
(parse)
tests/frontend/integration/meditation-flow-test.tsx
[error] 25-26: Expected a statement but instead found '<<<<<<<< HEAD:tests/frontend/integration/meditation-flow-test.tsx'.
Expected a statement here.
(parse)
[error] 27-28: Expected a statement but instead found '========'.
Expected a statement here.
(parse)
[error] 28-28: Shouldn't redeclare 'useIncident'. Consider to delete it or rename it.
'useIncident' is defined here:
(lint/suspicious/noRedeclare)
tests/frontend/unit/IncidentColoring-test.tsx
[error] 5-6: Expected a statement but instead found '========'.
Expected a statement here.
(parse)
[error] 9-10: Expected a statement but instead found '>>>>>>>> origin/main:tests/unit/components/IncidentColoring-test.tsx'.
Expected a statement here.
(parse)
[error] 7-7: Shouldn't redeclare 'IncidentColoring'. Consider to delete it or rename it.
'IncidentColoring' is defined here:
(lint/suspicious/noRedeclare)
[error] 8-8: Shouldn't redeclare 'getCurrentTime'. Consider to delete it or rename it.
'getCurrentTime' is defined here:
(lint/suspicious/noRedeclare)
[error] 9-9: Shouldn't redeclare 'IncidentContext'. Consider to delete it or rename it.
'IncidentContext' is defined here:
(lint/suspicious/noRedeclare)
[error] 9-9: Shouldn't redeclare 'IncidentProvider'. Consider to delete it or rename it.
'IncidentProvider' is defined here:
(lint/suspicious/noRedeclare)
🪛 GitHub Actions: CI
tests/frontend/unit/IncidentItem-test.tsx
[error] 4-4: Module not found: Could not locate module mapped as '@/frontend/components/ScreenComponents/IncidentItem'. Check Jest moduleNameMapper/aliases configuration.
tests/frontend/integration/test-utils.tsx
[error] 220-220: Jest parsing error. Unexpected token '<< HEAD' likely due to unresolved merge conflict markers in the file.
[error] 218-223: SyntaxError detected while parsing. Unexpected token sequence near conflict markers.
tests/frontend/integration/meditation-flow-test.tsx
[error] 25-25: Jest parsing error. Unexpected token '<< HEAD' likely due to unresolved merge conflict markers in the file.
tests/frontend/unit/IncidentColoring-test.tsx
[error] 2-2: Jest parsing error. Unexpected token at start of file. Possible merge conflict markers present.
[error] 2-2: Syntax error encountered while importing modules due to unresolved alias '@/components/IncidentColoring' or conflicting test setup.
frontend/app/+not-found.tsx
[warning] 11-11: Unexpected any. Specify a different type @typescript-eslint/no-explicit-any
🪛 GitHub Check: Frontend Linting & Type Check
frontend/app/+not-found.tsx
[warning] 11-11:
Unexpected any. Specify a different type
🔇 Additional comments (8)
frontend/components/AudioRecording.tsx (1)
30-30: LGTM! Console logging cleanup.Removing the debug log and consolidating the return statement aligns with the broader cleanup effort across the PR.
tests/frontend/unit/IncidentItem-test.tsx (2)
18-23: LGTM! Strong typing for mock component.The
MockCollapsiblePropsinterface properly types the mock Collapsible component, improving type safety in tests.
79-80: LGTM! Robust date matching.Using regex patterns instead of exact text matching makes the tests resilient to timezone differences and locale formatting variations.
Also applies to: 113-114
tests/frontend/integration/test-utils.tsx (2)
191-194: Good refactor: Shared storage instance.Introducing a shared
asyncStorageStoreimproves consistency across all mock AsyncStorage methods. This is a solid improvement to the test infrastructure.
196-243: Storage method refactoring looks good (pending conflict resolution).Once the merge conflict is resolved, the refactoring of all storage methods to consistently use the shared
asyncStorageStorewill be a clean improvement.tests/frontend/integration/meditation-flow-test.tsx (3)
72-72: Typedef forsetMusicListupdater looks goodAnnotating
prevasstring[]in the music list updater is consistent with its intended shape and keeps the test code explicit:setMusicList((prev: string[]) => [...prev, data.audio_url]);No functional issues here.
132-132: Explicit typing formusicList.mapis acceptableThe explicit
(track: string, index: number)annotation is compatible withmusicList: string[]and can help keep the test code self-documenting. This is purely stylistic and does not introduce issues.
177-177: SecondsetMusicListupdater typing is consistentThis annotation mirrors the earlier usage and is consistent with
string[]:setMusicList((prev: string[]) => [...prev, data.audio_url]);All good here.
| <<<<<<<< HEAD:tests/frontend/e2e/error-scenarios.e2e.ts | ||
| await detoxExpect(element(by.id('error-message'))).toHaveText( | ||
| /network|timeout|connection/i as any | ||
| ); | ||
| ======== | ||
| await detoxExpect(element(by.id('error-message'))).toHaveText(/network|timeout|connection/i); | ||
| >>>>>>>> origin/main:tests/e2e/error-scenarios.e2e.ts |
There was a problem hiding this comment.
CRITICAL: Remove unresolved merge conflict markers.
The file contains unresolved merge conflict markers that will cause a parse error and prevent the test suite from running.
Apply this diff to resolve the conflict by keeping the HEAD version:
-<<<<<<<< HEAD:tests/frontend/e2e/error-scenarios.e2e.ts
await detoxExpect(element(by.id('error-message'))).toHaveText(
/network|timeout|connection/i as any
);
-========
- await detoxExpect(element(by.id('error-message'))).toHaveText(/network|timeout|connection/i);
->>>>>>>> origin/main:tests/e2e/error-scenarios.e2e.ts📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| <<<<<<<< HEAD:tests/frontend/e2e/error-scenarios.e2e.ts | |
| await detoxExpect(element(by.id('error-message'))).toHaveText( | |
| /network|timeout|connection/i as any | |
| ); | |
| ======== | |
| await detoxExpect(element(by.id('error-message'))).toHaveText(/network|timeout|connection/i); | |
| >>>>>>>> origin/main:tests/e2e/error-scenarios.e2e.ts | |
| await detoxExpect(element(by.id('error-message'))).toHaveText( | |
| /network|timeout|connection/i as any | |
| ); |
🧰 Tools
🪛 Biome (2.1.2)
[error] 49-51: Expected a statement but instead found '========
await detoxExpect(element(by.id('error-message'))).toHaveText(/network|timeout|connection/i)'.
Expected a statement here.
(parse)
🤖 Prompt for AI Agents
In tests/frontend/e2e/error-scenarios.e2e.ts around lines 46 to 52 there are
unresolved Git merge conflict markers (<<<<<<<, =======, >>>>>>>) that will
break parsing; remove the conflict markers and keep the HEAD version of the
assertion (the multi-line call that casts the regex to any) so the code becomes
the single valid assertion without conflict markers.
| // Verify error message | ||
| <<<<<<<< HEAD:tests/frontend/e2e/error-scenarios.e2e.ts | ||
| await detoxExpect(element(by.id('error-message'))).toHaveText( | ||
| /network|timeout|connection/i as any |
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
cat package.json | grep -A 2 -B 2 "detox"Repository: HatmanStack/float
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head -300 tests/frontend/e2e/error-scenarios.e2e.ts | tail -100Repository: HatmanStack/float
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🌐 Web query:
Detox TypeScript type definitions isVisible toHaveText compatibility 2024 2025
💡 Result:
Short answer: Detox’s official TypeScript docs and API (v19.x and v20.x) include typings for expect matchers like toBeVisible/toHaveText, but you may still see TypeScript conflicts with Jest’s global expect — the recommended workaround is to import Detox’s expect (or add proper ambient types). See Detox docs and the TypeScript guide. [1][2][3]
Details + links:
- Detox API (expect) lists .toBeVisible() and .toHaveText() in both 19.x and 20.x docs (2024–2025 releases). Use those versions’ docs to confirm behavior for your Detox version. [1][2]
- Detox “Using TypeScript” guide documents the Jest vs Detox expect type clash and recommends importing Detox’s expect explicitly (or adjusting your types) to avoid TS errors like “Property 'toBeVisible' does not exist on type 'JestMatchers…'”. [3]
- If you still get matcher-typing errors, community issues for other matcher libraries (e.g., jest-native / testing-library) show the same pattern — the fix is to extend the Jest matchers ambient types or import the library-specific expect. That approach applies to Detox as well. [4]
If you want, tell me: (a) which Detox version you use (npm package or commit), and (b) an example TS error — I’ll give the exact tsconfig/typings or code snippet to fix it.
Sources:
[1] Detox expect API (v20.x) — Wix Detox docs.
[2] Detox expect API (v19.x) — Wix Detox docs.
[3] Using TypeScript — Detox guide.
[4] Example matcher-typing issue (testing-library/jest-native) showing same TypeScript matcher conflicts.
🏁 Script executed:
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Remove as any casts—Detox v20.0.0 type definitions have fixable gaps.
Despite correctly importing expect as detoxExpect from 'detox', the code contains unnecessary as any casts that defeat TypeScript's type safety. Detox v20.0.0 has official TypeScript support, so these casts indicate gaps in the library's type definitions rather than version incompatibility.
The casts appear in patterns suggesting incomplete type coverage:
- Regex patterns in
.toHaveText()(lines 48, 100, 167, 187, 296, 317): Should acceptRegExpwithout casting - Element query methods (lines 78, 79, 237, 238, 273, 274, 358):
.isVisible()and.getAttributes()should be properly typed on element results - Attribute access (lines 242–243): Result properties should have proper types
Actions:
- Update Detox to the latest v20.x patch release (may include type definition fixes)
- Check Detox's GitHub issues for known type definition gaps with v20.0.0
- If gaps persist, consider opening an issue or PR with Detox to improve type coverage
- As a temporary measure only if updates don't resolve it, add stricter type definitions locally via declaration files rather than broad
as anycasts
Also applies to: 78-79, 100-100, 167-167, 187-187, 237-243, 273-274, 296-296, 317-317, 358-358
🤖 Prompt for AI Agents
In tests/frontend/e2e/error-scenarios.e2e.ts around lines 48 (and also
references at 78-79,100,167,187,237-243,273-274,296,317,358), remove the
unnecessary `as any` casts and restore proper types (e.g., pass RegExp directly
to .toHaveText and use correct element return types for
.isVisible()/.getAttributes()); first upgrade Detox to the latest v20.x patch to
pick up type fixes, search Detox GH issues for remaining typing gaps, and if the
problems persist add targeted local .d.ts augmentation declarations for the
specific missing types instead of `as any` so type safety is preserved and only
use temporary casts as an absolute last resort.
| <<<<<<<< HEAD:tests/frontend/integration/meditation-flow-test.tsx | ||
| import { useIncident, Incident } from '@/context/IncidentContext'; | ||
| ======== | ||
| import { useIncident } from '@/frontend/context/IncidentContext'; | ||
| >>>>>>>> origin/main:tests/integration/meditation-flow-test.tsx |
There was a problem hiding this comment.
Unresolved merge conflict + broken imports must be fixed
There are unresolved merge markers and duplicate/conflicting imports here, which break parsing and CI.
You should resolve the conflict and consolidate to a single import that also brings in the Incident type from the correct path, e.g.:
-<<<<<<<< HEAD:tests/frontend/integration/meditation-flow-test.tsx
-import { useIncident, Incident } from '@/context/IncidentContext';
-========
-import { useIncident } from '@/frontend/context/IncidentContext';
->>>>>>>> origin/main:tests/integration/meditation-flow-test.tsx
+import { useIncident, Incident } from '@/frontend/context/IncidentContext';This removes the merge markers, avoids redeclaration of useIncident, and aligns with the frontend/context/IncidentContext.tsx location.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| <<<<<<<< HEAD:tests/frontend/integration/meditation-flow-test.tsx | |
| import { useIncident, Incident } from '@/context/IncidentContext'; | |
| ======== | |
| import { useIncident } from '@/frontend/context/IncidentContext'; | |
| >>>>>>>> origin/main:tests/integration/meditation-flow-test.tsx | |
| import { useIncident, Incident } from '@/frontend/context/IncidentContext'; |
🧰 Tools
🪛 Biome (2.1.2)
[error] 25-26: Expected a statement but instead found '<<<<<<<< HEAD:tests/frontend/integration/meditation-flow-test.tsx'.
Expected a statement here.
(parse)
[error] 27-28: Expected a statement but instead found '========'.
Expected a statement here.
(parse)
[error] 28-28: Shouldn't redeclare 'useIncident'. Consider to delete it or rename it.
'useIncident' is defined here:
(lint/suspicious/noRedeclare)
🪛 GitHub Actions: CI
[error] 25-25: Jest parsing error. Unexpected token '<< HEAD' likely due to unresolved merge conflict markers in the file.
🤖 Prompt for AI Agents
In tests/frontend/integration/meditation-flow-test.tsx around lines 25-29, there
are unresolved merge markers and duplicate/conflicting imports; remove the
conflict markers (<<<<<<<, =======, >>>>>>>) and consolidate to a single import
from the frontend context path: import { useIncident, Incident } from
'@/frontend/context/IncidentContext'; ensure only that single import remains and
update any code that referenced the old path so the Incident type and
useIncident hook are imported from '@/frontend/context/IncidentContext'.
| <<<<<<<< HEAD:tests/frontend/integration/test-utils.tsx | ||
| return Promise.resolve( | ||
| keys.map((key) => [key, asyncStorageStore.get(key) || null]) | ||
| ); | ||
| ======== | ||
| return Promise.resolve(keys.map((key) => [key, mockAsyncStorage.store.get(key) || null])); | ||
| >>>>>>>> origin/main:tests/integration/test-utils.tsx |
There was a problem hiding this comment.
Critical: Unresolved merge conflict in multiGet.
This file contains unresolved merge conflict markers in the multiGet method implementation. The conflict shows two different approaches to accessing the store.
You must resolve this merge conflict before the PR can be merged. Based on the refactoring pattern in the rest of the file, the HEAD version (lines 221-223) using asyncStorageStore directly appears to be the correct choice.
🧰 Tools
🪛 Biome (2.1.2)
[error] 223-224: Expected a statement but instead found '========'.
Expected a statement here.
(parse)
[error] 225-226: Expected a statement but instead found '>>>>>>>> origin/main:tests/integration/test-utils.tsx'.
Expected a statement here.
(parse)
🪛 GitHub Actions: CI
[error] 220-220: Jest parsing error. Unexpected token '<< HEAD' likely due to unresolved merge conflict markers in the file.
🤖 Prompt for AI Agents
In tests/frontend/integration/test-utils.tsx around lines 220 to 226 there are
unresolved Git merge conflict markers in the multiGet implementation; remove the
conflict markers (<<<<<<<< HEAD, ========, >>>>>>) and restore the HEAD variant
that uses asyncStorageStore (i.e., return Promise.resolve(keys.map((key) =>
[key, asyncStorageStore.get(key) || null]))); ensure no leftover markers remain
and the file compiles.
| <<<<<<<< HEAD:tests/frontend/unit/IncidentColoring-test.tsx | ||
| import { IncidentColoring } from '@/components/IncidentColoring'; | ||
| import { getCurrentTime } from '@/constants/util'; | ||
| import { IncidentContext, IncidentProvider, IncidentContextType } from '@/context/IncidentContext'; | ||
| ======== | ||
| import { IncidentColoring } from '@/frontend/components/IncidentColoring'; | ||
| import { getCurrentTime } from '@/frontend/constants/StylesConstants'; | ||
| import { IncidentContext, IncidentProvider } from '@/frontend/context/IncidentContext'; | ||
| >>>>>>>> origin/main:tests/unit/components/IncidentColoring-test.tsx |
There was a problem hiding this comment.
Critical: Unresolved merge conflict.
This file contains unresolved merge conflict markers that are causing build failures. The conflict appears to be between different import path conventions (@/components/... vs @/frontend/components/...).
You must resolve this merge conflict before the PR can be merged. Choose the correct import paths based on your project structure and remove the conflict markers.
🧰 Tools
🪛 Biome (2.1.2)
[error] 5-6: Expected a statement but instead found '========'.
Expected a statement here.
(parse)
[error] 9-10: Expected a statement but instead found '>>>>>>>> origin/main:tests/unit/components/IncidentColoring-test.tsx'.
Expected a statement here.
(parse)
[error] 7-7: Shouldn't redeclare 'IncidentColoring'. Consider to delete it or rename it.
'IncidentColoring' is defined here:
(lint/suspicious/noRedeclare)
[error] 8-8: Shouldn't redeclare 'getCurrentTime'. Consider to delete it or rename it.
'getCurrentTime' is defined here:
(lint/suspicious/noRedeclare)
[error] 9-9: Shouldn't redeclare 'IncidentContext'. Consider to delete it or rename it.
'IncidentContext' is defined here:
(lint/suspicious/noRedeclare)
[error] 9-9: Shouldn't redeclare 'IncidentProvider'. Consider to delete it or rename it.
'IncidentProvider' is defined here:
(lint/suspicious/noRedeclare)
🪛 GitHub Actions: CI
[error] 2-2: Jest parsing error. Unexpected token at start of file. Possible merge conflict markers present.
[error] 2-2: Syntax error encountered while importing modules due to unresolved alias '@/components/IncidentColoring' or conflicting test setup.
🤖 Prompt for AI Agents
In tests/frontend/unit/IncidentColoring-test.tsx lines 2–10, there are
unresolved git merge conflict markers (<<<<<<<, =======, >>>>>>>) around
competing import blocks; remove the conflict markers and keep the correct,
project-consistent import statements (use the '@/frontend/...' paths if the
codebase uses that alias, or '@/components/...' if that's the canonical alias)
and include any needed named imports (e.g., IncidentContextType if used). Ensure
the final file has a single import block with consistent aliases, no conflict
markers, and run the test suite to verify imports resolve.
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7357d67
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