feat: estrutura inicial da Etapa 1 do Visão de Cria#3
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📝 WalkthroughWalkthroughAdds a full project scaffold: env template and .gitignore, Docker Compose services (Postgres/TimescaleDB, Redis, MinIO, backend, worker, frontend), a FastAPI backend (settings, logging, health/readiness, modality and analysis simulation routes, Celery worker), analysis/scoring modules and tests, and a Next.js + Tailwind frontend with overlay pages and build tooling. Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant Backend as FastAPI
participant Postgres
participant Redis
participant MinIO
Client->>Backend: GET /api/v1/health/ready
Backend->>Backend: get_settings()
Backend->>Postgres: check_postgres() (async SELECT 1)
Backend->>Redis: check_redis() (async PING)
Backend->>MinIO: check_minio() (HTTP health + MinIO client)
Postgres-->>Backend: DependencyStatus
Redis-->>Backend: DependencyStatus
MinIO-->>Backend: DependencyStatus
Backend->>Backend: aggregate statuses, update 2s TTL cache
alt all dependencies ok
Backend-->>Client: 200 OK + HealthReadyResponse (status: "ok")
else any failure
Backend-->>Client: 503 Service Unavailable + HealthReadyResponse (status: "degradado")
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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| @@ -0,0 +1,10 @@ | |||
| export default function OverlayLivePage() { | |||
| return ( | |||
| <main className="overlay-transparente flex min-h-screen items-start justify-start p-6"> | |||
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Apply transparency class to body for OBS overlay
The overlay route sets overlay-transparente on <main>, but the stylesheet only makes the background transparent for body.overlay-transparente; as a result, /overlay/live keeps the default opaque dark background and will cover the video when used as an OBS browser source. This breaks the primary overlay behavior in the environment this page is meant for.
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| env_file: | ||
| - .env.example |
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Read runtime env vars from .env instead of .env.example
Using .env.example as env_file means user changes in .env (the file the README tells them to copy/edit) are ignored for backend/worker/frontend variables loaded via env_file, which can desynchronize credentials across services (for example, MinIO credentials interpolated from .env in minio but still defaulted in backend). This makes local configuration unexpectedly fail once non-default values are used.
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Actionable comments posted: 10
🧹 Nitpick comments (3)
frontend/tsconfig.json (1)
18-18: Optional: scopeincludetosrc/**.
"**/*.ts"/"**/*.tsx"will pick up any stray TS file anywhere underfrontend/(e.g., config scripts). Next.js's default generatedtsconfig.jsontypically omits the**globs and relies on Next's own discovery. Not a blocker.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@frontend/tsconfig.json` at line 18, The tsconfig "include" array currently uses broad globs ("**/*.ts", "**/*.tsx") which will pick up stray TypeScript files; narrow the scope by replacing those globs with src-specific patterns (for example "src/**/*.ts" and "src/**/*.tsx" or a single "src/**") in the "include" array so TypeScript only compiles source files; update the include entry containing "**/*.ts" and "**/*.tsx" to the chosen src-scoped patterns.backend/Dockerfile (1)
17-17: Add a.dockerignoreto keep the image lean and avoid leaking local artifacts.
COPY . /appwill pull in.env,__pycache__/, virtualenvs, tests, and local caches if present in the build context. A smallbackend/.dockerignore(covering__pycache__,*.pyc,.venv,.env*,.pytest_cache,tests/) prevents secret leakage and speeds builds.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/Dockerfile` at line 17, The Dockerfile line COPY . /app is pulling the entire build context (including secrets and caches) into the image; add a backend/.dockerignore to exclude local artifacts like __pycache__/, *.pyc, .venv, .env*, .pytest_cache/, tests/, and any other local caches or IDE files so they are not sent in the build context and won't be copied by the COPY . /app instruction; ensure the .dockerignore lives next to the Dockerfile and contains at minimum the listed patterns to keep the image lean and prevent leaking local files.docker-compose.yml (1)
52-56: Verify healthcheck probe binaries in the final images.These checks run
curl/wgetinside the containers. If any image lacks the probe binary, the service stays unhealthy and dependent services never start. Either install the tools in the Dockerfiles or switch to probes guaranteed by each runtime image.Also applies to: 85-89, 135-139
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docker-compose.yml` around lines 52 - 56, The healthcheck blocks use curl (test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]) which may not exist in the final images; update the Dockerfiles for the affected services to install a probe binary (curl or wget) or replace the healthcheck with a runtime-guaranteed probe (e.g., ["CMD", "nc", "-z", "localhost", "9000"] or ["CMD-SHELL", "test \"$(</proc/1/comm)\" = \"<runtime-process>\" && curl -f ... || exit 1"] as appropriate), and ensure the same change is applied to the other healthcheck blocks referenced (around the other ranges) so all images either include the probe or use a guaranteed command.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@backend/app/api/routes/health.py`:
- Around line 11-16: The healthcheck() handler currently always returns ok and
should not be used as a readiness probe; either mark it clearly as a
liveness-only endpoint or add a separate readiness endpoint that performs real
dependency checks. Update the existing healthcheck() (function name healthcheck,
response model HealthResponse, using get_settings()) to be documented/returned
as liveness-only, and implement a new readiness route (e.g., /ready or
readiness_check) that attempts lightweight checks against required external
services (Postgres, Redis, MinIO) using their clients/connections and returns a
non-2xx (e.g., 503) with an error summary if any check fails; ensure the
readiness endpoint returns HealthResponse or similar and includes which
dependency failed for observability.
In `@backend/app/core/logging.py`:
- Around line 6-16: The module import for JsonFormatter is wrong for
python-json-logger v2.0.7 and causes ImportError when configure_logging() is
imported; change the import to "from pythonjsonlogger import jsonlogger" and
update the use of JsonFormatter inside configure_logging() to
jsonlogger.JsonFormatter(...). Ensure the configure_logging function still
constructs the formatter with the same format string and rename_fields and that
the import change prevents the startup failure when configure_logging() is
executed at module import time.
In `@backend/app/main.py`:
- Around line 20-26: The CORS setup uses allow_origins=["*"] with
allow_credentials=True which violates the CORS spec; update the
app.add_middleware(CORSMiddleware, ...) call to compute an explicit
allow_origins list based on settings.app_env (e.g., include
"http://localhost:3000" for development and the production frontend URL for
prod) instead of "*", and wire that list into allow_origins; if you have a
settings.allowed_origins or an environment variable, prefer using that, and
ensure allow_credentials remains True only when a concrete origin list (not "*")
is supplied.
In `@backend/Dockerfile`:
- Around line 1-21: The Dockerfile currently runs as root; create and switch to
a non-root user after installing packages and copying files to harden the image:
add a named user/group (e.g., appuser) and home directory, chown /app to that
user, set USER to that account (and optionally set HOME and PATH), and ensure
subsequent runtime CMD ("uvicorn", "app.main:app", ...) executes under that
non-root user; keep package installation and pip steps before changing ownership
or use root for installs then drop privileges with USER appuser.
In `@backend/requirements.txt`:
- Line 15: Replace the pinned python-multipart==0.0.17 entry in
backend/requirements.txt with python-multipart==0.0.26 to apply security fixes
for GHSA-59g5, GHSA-wp53 and GHSA-mj87; after updating the requirement,
reinstall or rebuild your virtualenv (pip install -r backend/requirements.txt)
and run the test suite and any dependency lockfile regeneration (if you use
pip-compile/poetry) to ensure the updated package is propagated.
In `@docker-compose.yml`:
- Around line 45-46: The backend and worker services are not inheriting the
interpolated MinIO credentials; update their environment sections to explicitly
set MINIO_ROOT_USER and MINIO_ROOT_PASSWORD using the same docker-compose
interpolation (e.g., ${MINIO_ROOT_USER:-minioadmin} and
${MINIO_ROOT_PASSWORD:-minioadmin123}) so they match the minio service; modify
the environment blocks for the backend and for the worker to override values
from env_file with these interpolated variables (refer to MINIO_ROOT_USER and
MINIO_ROOT_PASSWORD symbols in those service definitions).
In `@frontend/Dockerfile`:
- Around line 1-14: The container runs as root; make it run as the base image
non-root "node" user by ensuring /app is owned by that user and switching to
USER node before running package installs and the dev server. Concretely: after
installing system packages (apk add) and setting WORKDIR, copy
package.json/package-lock.json, chown -R node:node /app, then add USER node and
run npm ci as that user (so node_modules are writable), then copy the rest of
the source as node (or chown after copying) and keep CMD ["npm","run","dev"];
refer to WORKDIR, npm ci, and USER node to locate the changes.
In `@frontend/package.json`:
- Around line 11-24: Update the Next.js dependency version in
frontend/package.json by changing the "next" entry from "14.2.20" to "14.2.35"
(or the latest 14.2.x), then run your package manager to regenerate the lockfile
(npm install or yarn install) so the updated dependency is applied; confirm
tests/build succeed and commit the updated package.json and lockfile.
In `@frontend/src/app/globals.css`:
- Around line 16-18: The CSS selector body.overlay-transparente in globals.css
doesn't match because the overlay route applies the class to <main> (see
overlay/live/page.tsx); fix by broadening the selector so the transparency rule
applies regardless of which element has the class (e.g., change the selector to
.overlay-transparente and/or include main.overlay-transparente) so the OBS
overlay renders transparent, or alternatively create a dedicated layout for the
overlay route that sets the overlay-transparente class on <body> instead of
<main>.
In `@frontend/src/app/overlay/live/page.tsx`:
- Around line 3-8: The overlay is not transparent because the CSS expects
body.overlay-transparente but the class is on the <main> element; fix by either
(A) creating a route-specific layout component (overlay/live/layout.tsx) that
sets <body className="overlay-transparente"> so the existing
body.overlay-transparente rule in globals.css applies, or (B) update the CSS
selector in frontend/src/app/globals.css from body.overlay-transparente to
target the wrapper used in this file (e.g., .overlay-transparente or
main.overlay-transparente) so the current <main
className="overlay-transparente"> makes the overlay transparent.
---
Nitpick comments:
In `@backend/Dockerfile`:
- Line 17: The Dockerfile line COPY . /app is pulling the entire build context
(including secrets and caches) into the image; add a backend/.dockerignore to
exclude local artifacts like __pycache__/, *.pyc, .venv, .env*, .pytest_cache/,
tests/, and any other local caches or IDE files so they are not sent in the
build context and won't be copied by the COPY . /app instruction; ensure the
.dockerignore lives next to the Dockerfile and contains at minimum the listed
patterns to keep the image lean and prevent leaking local files.
In `@docker-compose.yml`:
- Around line 52-56: The healthcheck blocks use curl (test: ["CMD", "curl",
"-f", "http://localhost:9000/minio/health/live"]) which may not exist in the
final images; update the Dockerfiles for the affected services to install a
probe binary (curl or wget) or replace the healthcheck with a runtime-guaranteed
probe (e.g., ["CMD", "nc", "-z", "localhost", "9000"] or ["CMD-SHELL", "test
\"$(</proc/1/comm)\" = \"<runtime-process>\" && curl -f ... || exit 1"] as
appropriate), and ensure the same change is applied to the other healthcheck
blocks referenced (around the other ranges) so all images either include the
probe or use a guaranteed command.
In `@frontend/tsconfig.json`:
- Line 18: The tsconfig "include" array currently uses broad globs ("**/*.ts",
"**/*.tsx") which will pick up stray TypeScript files; narrow the scope by
replacing those globs with src-specific patterns (for example "src/**/*.ts" and
"src/**/*.tsx" or a single "src/**") in the "include" array so TypeScript only
compiles source files; update the include entry containing "**/*.ts" and
"**/*.tsx" to the chosen src-scoped patterns.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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⛔ Files ignored due to path filters (1)
frontend/package-lock.jsonis excluded by!**/package-lock.json
📒 Files selected for processing (31)
.env.example.gitignoreREADME.mdbackend/Dockerfilebackend/app/__init__.pybackend/app/api/__init__.pybackend/app/api/routes/__init__.pybackend/app/api/routes/health.pybackend/app/api/routes/modality.pybackend/app/core/__init__.pybackend/app/core/config.pybackend/app/core/logging.pybackend/app/main.pybackend/app/schemas/__init__.pybackend/app/schemas/health.pybackend/app/schemas/modality.pybackend/app/worker.pybackend/requirements.txtdocker-compose.ymldocs/pt-br/etapa-1-setup.mdfrontend/Dockerfilefrontend/next-env.d.tsfrontend/next.config.mjsfrontend/package.jsonfrontend/postcss.config.mjsfrontend/src/app/globals.cssfrontend/src/app/layout.tsxfrontend/src/app/overlay/live/page.tsxfrontend/src/app/page.tsxfrontend/tailwind.config.tsfrontend/tsconfig.json
| from pythonjsonlogger.json import JsonFormatter | ||
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| def configure_logging() -> None: | ||
| """Configura logger raiz em formato JSON para observabilidade.""" | ||
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| handler = logging.StreamHandler(sys.stdout) | ||
| formatter = JsonFormatter( | ||
| "%(asctime)s %(levelname)s %(name)s %(message)s", | ||
| rename_fields={"asctime": "timestamp", "levelname": "level"}, | ||
| ) |
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🌐 Web query:
python-json-logger 2.0.7 import path API documentation
💡 Result:
For python-json-logger version 2.0.7, the import path for the JsonFormatter class is from pythonjsonlogger import jsonlogger, then use jsonlogger.JsonFormatter. This is explicitly shown in the official README on PyPI for v2.0.7 and the GitHub repository (v2.0.7 release, master branch matching 2.0.7). The source code is at src/pythonjsonlogger/jsonlogger.py containing the JsonFormatter class. The package uses a namespace pythonjsonlogger with submodule jsonlogger. Note: The original madzak/python-json-logger repo is archived; active development continues at nhairs/python-json-logger with newer versions (4.x) changing the import to from pythonjsonlogger.json import JsonFormatter, but for 2.0.7 specifically, use the above. API Documentation: No separate formal API docs found; usage and class details are in the README and inline source code. Key methods include JsonFormatter.init with parameters like json_default, json_serializer, rename_fields, static_fields, etc. See source for full details.
Citations:
- 1: https://pypi.org/project/python-json-logger/2.0.7/
- 2: https://github.com/madzak/python-json-logger
- 3: https://github.com/madzak/python-json-logger/tree/master
- 4: https://github.com/madzak/python-json-logger/blob/master/src/pythonjsonlogger/jsonlogger.py
- 5: https://github.com/madzak/python-json-logger/tags
- 6: https://github.com/madzak/python-json-logger/releases
Import path incompatibility with python-json-logger==2.0.7 causes app startup failure.
Line 6 uses from pythonjsonlogger.json import JsonFormatter, which does not exist in the pinned version 2.0.7. The correct import for this version is from pythonjsonlogger import jsonlogger. Since configure_logging() is called at module import time in backend/app/main.py, this will cause the application to fail to start.
Fix required
-from pythonjsonlogger.json import JsonFormatter
+from pythonjsonlogger import jsonlogger
@@
- formatter = JsonFormatter(
+ formatter = jsonlogger.JsonFormatter(
"%(asctime)s %(levelname)s %(name)s %(message)s",
rename_fields={"asctime": "timestamp", "levelname": "level"},
)📝 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.
| from pythonjsonlogger.json import JsonFormatter | |
| def configure_logging() -> None: | |
| """Configura logger raiz em formato JSON para observabilidade.""" | |
| handler = logging.StreamHandler(sys.stdout) | |
| formatter = JsonFormatter( | |
| "%(asctime)s %(levelname)s %(name)s %(message)s", | |
| rename_fields={"asctime": "timestamp", "levelname": "level"}, | |
| ) | |
| from pythonjsonlogger import jsonlogger | |
| def configure_logging() -> None: | |
| """Configura logger raiz em formato JSON para observabilidade.""" | |
| handler = logging.StreamHandler(sys.stdout) | |
| formatter = jsonlogger.JsonFormatter( | |
| "%(asctime)s %(levelname)s %(name)s %(message)s", | |
| rename_fields={"asctime": "timestamp", "levelname": "level"}, | |
| ) |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/app/core/logging.py` around lines 6 - 16, The module import for
JsonFormatter is wrong for python-json-logger v2.0.7 and causes ImportError when
configure_logging() is imported; change the import to "from pythonjsonlogger
import jsonlogger" and update the use of JsonFormatter inside
configure_logging() to jsonlogger.JsonFormatter(...). Ensure the
configure_logging function still constructs the formatter with the same format
string and rename_fields and that the import change prevents the startup failure
when configure_logging() is executed at module import time.
| opencv-python-headless==4.10.0.84 | ||
| numpy==2.1.3 | ||
| yt-dlp==2026.3.31 | ||
| python-multipart==0.0.17 |
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| jq '.vulns[]? | {id, summary, severity, affected}'
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| jq -r '.info.version'Repository: ringuemkt-rgb/cria-do-tatame
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Upgrade python-multipart to 0.0.26 to patch all vulnerabilities.
Line 15 pins python-multipart==0.0.17, which has three HIGH-severity vulnerabilities:
- GHSA-59g5-xgcq-4qw3: DoS via malformed multipart boundary (fixed in 0.0.18)
- GHSA-wp53-j4wj-2cfg: Arbitrary file write via non-default config (fixed in 0.0.22)
- GHSA-mj87-hwqh-73pj: DoS via large multipart preamble/epilogue (fixed in 0.0.26)
Upgrade to 0.0.26 to address all three. The proposed 0.0.20 is insufficient.
🛡️ Corrected dependency update
-python-multipart==0.0.17
+python-multipart==0.0.26📝 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.
| python-multipart==0.0.17 | |
| python-multipart==0.0.26 |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/requirements.txt` at line 15, Replace the pinned
python-multipart==0.0.17 entry in backend/requirements.txt with
python-multipart==0.0.26 to apply security fixes for GHSA-59g5, GHSA-wp53 and
GHSA-mj87; after updating the requirement, reinstall or rebuild your virtualenv
(pip install -r backend/requirements.txt) and run the test suite and any
dependency lockfile regeneration (if you use pip-compile/poetry) to ensure the
updated package is propagated.
| MINIO_ROOT_USER: ${MINIO_ROOT_USER:-minioadmin} | ||
| MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD:-minioadmin123} |
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Pass the effective MinIO credentials to the backend and worker services.
If MINIO_ROOT_USER and MINIO_ROOT_PASSWORD are customized in .env, MinIO starts with those values via docker-compose interpolation, but the backend and worker services load sample values from .env.example via env_file. The environment section must explicitly override these with interpolated values to match the minio service configuration.
🐛 Proposed fix
environment:
APP_ENV: docker
DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-visaouser}:${POSTGRES_PASSWORD:-visaopass}@postgres:5432/${POSTGRES_DB:-visaodecria}
REDIS_URL: redis://redis:6379/0
CELERY_BROKER_URL: redis://redis:6379/1
CELERY_RESULT_BACKEND: redis://redis:6379/2
MINIO_ENDPOINT: minio:9000
+ MINIO_ROOT_USER: ${MINIO_ROOT_USER:-minioadmin}
+ MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD:-minioadmin123}
MINIO_SECURE: "false"Also applies to worker service environment section (lines 99-104).
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docker-compose.yml` around lines 45 - 46, The backend and worker services are
not inheriting the interpolated MinIO credentials; update their environment
sections to explicitly set MINIO_ROOT_USER and MINIO_ROOT_PASSWORD using the
same docker-compose interpolation (e.g., ${MINIO_ROOT_USER:-minioadmin} and
${MINIO_ROOT_PASSWORD:-minioadmin123}) so they match the minio service; modify
the environment blocks for the backend and for the worker to override values
from env_file with these interpolated variables (refer to MINIO_ROOT_USER and
MINIO_ROOT_PASSWORD symbols in those service definitions).
| "dependencies": { | ||
| "next": "14.2.20", | ||
| "react": "18.3.1", | ||
| "react-dom": "18.3.1" | ||
| }, | ||
| "devDependencies": { | ||
| "@types/node": "22.10.1", | ||
| "@types/react": "18.3.13", | ||
| "@types/react-dom": "18.3.1", | ||
| "autoprefixer": "10.4.20", | ||
| "postcss": "8.4.49", | ||
| "tailwindcss": "3.4.16", | ||
| "typescript": "5.7.2" | ||
| } |
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securityVulnerabilities(first: 10, ecosystem: NPM, package: "next") {
nodes {
advisory { summary severity publishedAt ghsaId }
vulnerableVersionRange
firstPatchedVersion { identifier }
}
}
}'Repository: ringuemkt-rgb/cria-do-tatame
Length of output: 3019
🏁 Script executed:
#!/bin/bash
# Get detailed info on the DoS advisory for Next.js
# Check if there's a 14.2.x patch or if it requires upgrading to 15.x
curl -s "https://api.github.com/search/issues?q=next.js+14.2+denial+of+service" | jq '.items[] | {title, url}'
# Check npm audit output for this specific package.json setup
# Create a minimal test
cat > /tmp/test_package.json <<'EOF'
{
"dependencies": {
"next": "14.2.20"
}
}
EOF
cd /tmp && npm audit --json < /tmp/test_package.json 2>&1 | jq '.vulnerabilities | keys'Repository: ringuemkt-rgb/cria-do-tatame
Length of output: 4560
🏁 Script executed:
#!/bin/bash
# Get detailed changelog/release notes for 14.2.35
curl -s https://api.github.com/repos/vercel/next.js/releases | jq '.[] | select(.tag_name | startswith("v14.2.")) | {tag_name, published_at, body}' | head -100
# Also check npm package info directly for 14.2.35
curl -s https://registry.npmjs.org/next/14.2.35 | jq '{version: .version, dist_tags: .dist_tags, time: .time["14.2.35"]}'Repository: ringuemkt-rgb/cria-do-tatame
Length of output: 135
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#!/bin/bash
# Search for specific CVE/advisory IDs related to Next.js 14.2.x RSC/DoS vulnerabilities
curl -s "https://registry.npmjs.org/-/npm/v1/security/advisories/bulk" \
-X POST \
-H "Content-Type: application/json" \
-d '{"next":"14.2.20"}' 2>/dev/null | jq . || echo "Direct bulk API unavailable"
# Try alternative: check GitHub advisory database directly
curl -s "https://api.github.com/repos/github/advisory-database/contents/advisories/npm" | \
jq '.[] | select(.name | contains("next"))' | head -50
# Get Next.js 14.2.35 release notes from GitHub
curl -s "https://api.github.com/repos/vercel/next.js/releases/tags/v14.2.35" | \
jq '{tag_name: .tag_name, published_at: .published_at, body: .body}' | head -200Repository: ringuemkt-rgb/cria-do-tatame
Length of output: 469
🏁 Script executed:
#!/bin/bash
# Search for what CVEs are patched in 14.2.35
# Look at the security update blog post reference
curl -s "https://nextjs.org/blog/security-update-2025-12-11" 2>/dev/null | grep -i "14.2\|cve\|advisory\|vulnerability" | head -50
# Also check if 14.2.20 is mentioned in known CVE databases
# Search for specific advisory IDs mentioned in initial results
curl -s "https://api.github.com/repos/github/advisory-database/issues?state=all&labels=npm,next" | \
jq '.[] | {title: .title, url: .url}' | head -30
# Get list of all 14.2.x releases with their dates to understand the timeline
curl -s "https://registry.npmjs.org/next" | jq -r '.time | to_entries[] | select(.key | startswith("14.2.")) | "\(.key): \(.value)"' | sort -VRepository: ringuemkt-rgb/cria-do-tatame
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#!/bin/bash
# Check for 14.2.x releases beyond 14.2.35
curl -s "https://registry.npmjs.org/next" | jq -r '.time | to_entries[] | select(.key | startswith("14.2.")) | "\(.key): \(.value)"' | tail -10Repository: ringuemkt-rgb/cria-do-tatame
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Bump Next.js to 14.2.35 to address known security vulnerabilities.
Next.js 14.2.20 is affected by HIGH severity denial-of-service vulnerabilities (CVE-2025-55184, fixed completely in CVE-2025-67779) and MEDIUM severity source-code-exposure vulnerability (CVE-2025-55183). These are patched in 14.2.35, released Dec 11, 2025. Upgrade to the latest 14.2.x to resolve the npm install warnings mentioned in the PR.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@frontend/package.json` around lines 11 - 24, Update the Next.js dependency
version in frontend/package.json by changing the "next" entry from "14.2.20" to
"14.2.35" (or the latest 14.2.x), then run your package manager to regenerate
the lockfile (npm install or yarn install) so the updated dependency is applied;
confirm tests/build succeed and commit the updated package.json and lockfile.
| body.overlay-transparente { | ||
| background: transparent; | ||
| } |
There was a problem hiding this comment.
Root cause of overlay transparency bug lives here.
See the finding on frontend/src/app/overlay/live/page.tsx (lines 3-8): the selector body.overlay-transparente will not match because the class is applied to <main>, not <body>. Fixing it either here (broaden the selector) or in the overlay route (via a dedicated layout that sets the class on <body>) is required for the OBS overlay to actually render transparent.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@frontend/src/app/globals.css` around lines 16 - 18, The CSS selector
body.overlay-transparente in globals.css doesn't match because the overlay route
applies the class to <main> (see overlay/live/page.tsx); fix by broadening the
selector so the transparency rule applies regardless of which element has the
class (e.g., change the selector to .overlay-transparente and/or include
main.overlay-transparente) so the OBS overlay renders transparent, or
alternatively create a dedicated layout for the overlay route that sets the
overlay-transparente class on <body> instead of <main>.
| <main className="overlay-transparente flex min-h-screen items-start justify-start p-6"> | ||
| <section className="rounded-xl border border-emerald-400/60 bg-black/55 p-4 text-lg shadow-lg backdrop-blur-sm"> | ||
| <p className="font-semibold text-emerald-300">🥋 Overlay OBS • Visão de Cria</p> | ||
| <p className="text-slate-200">Modo: aguardando detecção automática de modalidade.</p> | ||
| </section> | ||
| </main> |
There was a problem hiding this comment.
overlay-transparente is attached to the wrong element — overlay won't be transparent.
frontend/src/app/globals.css (lines 16-18) targets body.overlay-transparente { background: transparent; }, but here the class is placed on <main>. As a result, the <body> keeps its default #05070b background and the OBS browser source overlay will render a solid dark background instead of being transparent, defeating the purpose of this route.
Since this is a Server Component and the root <body> is rendered in layout.tsx, the cleanest options are either (a) move the class onto <body> via a route-specific layout, or (b) change the selector in globals.css to target a wrapper element. Minimal in-place fix:
🛠️ Proposed fix (adjust the CSS selector)
# frontend/src/app/globals.css
-body.overlay-transparente {
- background: transparent;
-}
+body:has(.overlay-transparente),
+.overlay-transparente {
+ background: transparent;
+}Alternatively, add frontend/src/app/overlay/live/layout.tsx that sets <body className="overlay-transparente"> for this subtree.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@frontend/src/app/overlay/live/page.tsx` around lines 3 - 8, The overlay is
not transparent because the CSS expects body.overlay-transparente but the class
is on the <main> element; fix by either (A) creating a route-specific layout
component (overlay/live/layout.tsx) that sets <body
className="overlay-transparente"> so the existing body.overlay-transparente rule
in globals.css applies, or (B) update the CSS selector in
frontend/src/app/globals.css from body.overlay-transparente to target the
wrapper used in this file (e.g., .overlay-transparente or
main.overlay-transparente) so the current <main
className="overlay-transparente"> makes the overlay transparent.
There was a problem hiding this comment.
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| response = await client.get(url) | ||
| response.raise_for_status() | ||
|
|
||
| _ = Minio( |
There was a problem hiding this comment.
Validate MinIO credentials in readiness check
This readiness check can report MinIO as healthy even when credentials are wrong, because it only calls the unauthenticated /minio/health/live endpoint and then instantiates Minio(...) without performing any authenticated operation. In that scenario /api/v1/health/ready returns ok while real object-storage calls fail later, which defeats readiness gating for production traffic.
Useful? React with 👍 / 👎.
| CELERY_RESULT_BACKEND: redis://redis:6379/2 | ||
| MINIO_ENDPOINT: minio:9000 | ||
| MINIO_SECURE: "false" | ||
| CORS_ORIGINS: http://localhost:3000 |
There was a problem hiding this comment.
Honor CORS_ORIGINS from .env in backend service
The backend service hardcodes CORS_ORIGINS: http://localhost:3000, which overrides any CORS_ORIGINS value loaded from .env (Compose gives precedence to explicit environment entries). This makes cross-origin requests fail whenever the frontend is served from a different origin, even if the operator configured .env correctly.
Useful? React with 👍 / 👎.
There was a problem hiding this comment.
Actionable comments posted: 2
🧹 Nitpick comments (4)
frontend/src/app/globals.css (1)
1-3: Stylelintscss/at-rule-no-unknownon@tailwindis a false positive.These directives are valid and consumed by the Tailwind PostCSS plugin. If stylelint is part of the CI, configure it to whitelist Tailwind at-rules (e.g., via
stylelint-config-tailwindcss, or add"at-rule-no-unknown": [true, { "ignoreAtRules": ["tailwind", "apply", "layer", "screen", "variants", "responsive"] }]) so these errors don't block the pipeline.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@frontend/src/app/globals.css` around lines 1 - 3, The Stylelint false positive is caused by tailwind at-rules like `@tailwind` in your globals.css being flagged by the scss/at-rule-no-unknown rule; fix it by updating your Stylelint configuration (e.g., stylelint.config.js or .stylelintrc) to either extend stylelint-config-tailwindcss or adjust the at-rule rule: set "scss/at-rule-no-unknown": [true, { "ignoreAtRules": ["tailwind","apply","layer","screen","variants","responsive"] }] (or the equivalent "at-rule-no-unknown" setting) so the `@tailwind`, `@apply`, `@layer`, `@screen`, `@variants` and `@responsive` directives are whitelisted and CI will stop flagging `@tailwind` in globals.css.backend/app/services/health_checks.py (2)
16-25: Fragile URL rewrite forasyncpg.
settings.database_url.replace("+asyncpg", "")works for the current default but will also corrupt a URL likepostgresql+asyncpg2://…or any future driver suffix, and silently no-ops if the user supplies a plainpostgresql://…DSN. Consider a targeted strip viaurllib.parseor a small helper, e.g.:from urllib.parse import urlsplit, urlunsplit parts = urlsplit(settings.database_url) scheme = parts.scheme.split("+", 1)[0] # "postgresql" dsn = urlunsplit((scheme, *parts[1:])) conn = await asyncpg.connect(dsn, timeout=2)Low priority — optional hardening for when the DSN shape drifts.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/app/services/health_checks.py` around lines 16 - 25, The URL rewrite in check_postgres is fragile because settings.database_url.replace("+asyncpg", "") can mangle schemes like "postgresql+asyncpg2" or silently no-op; change it to parse and rebuild the DSN by using urllib.parse.urlsplit to split the URL, normalize the scheme with scheme.split("+", 1)[0], then urlunsplit to reconstruct the DSN and pass that dsn to asyncpg.connect (update the import to include urlsplit/urlunsplit); keep the rest of check_postgres (execute/select/close/exception handling) unchanged and use the new dsn variable instead of the replace call.
63-70: Passreturn_exceptions=Truetoasyncio.gatherfor defensive readiness.Today every
check_*catchesExceptioninternally, sogathernever sees one. But any future refactor that lets an exception escape (e.g., aBaseExceptionsubclass, a cancellation, or a bug) would fail the entire readiness endpoint with a 500 instead of returning adegradadopayload. Usingreturn_exceptions=Trueand mapping stray exceptions toDependencyStatus(status="erro", …)keeps the endpoint resilient and future-proof. Also, the declared return typelist[DependencyStatus]matchesgather's actual list return — fine as-is.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/app/services/health_checks.py` around lines 63 - 70, The readiness gather in run_readiness_checks should pass return_exceptions=True and then map any returned Exception objects into DependencyStatus entries (e.g., status="erro" with the exception message/details) so stray exceptions from check_postgres, check_redis, or check_minio don't cause a 500; update run_readiness_checks to call asyncio.gather(..., return_exceptions=True) and post-process the results list converting Exception instances into DependencyStatus results while leaving normal DependencyStatus objects untouched.backend/app/core/config.py (1)
29-32: Hardening note: avoid using MinIO root credentials as the app's service credentials.Aliasing
minio_access_key/minio_secret_keydirectly toMINIO_ROOT_USER/MINIO_ROOT_PASSWORDis fine for the Etapa 1 local bootstrap, but binds the backend/worker to the MinIO admin identity. Before going beyond local dev, provision a scoped service account (or access key pair with a restricted policy) and expose them via dedicated vars (e.g.MINIO_ACCESS_KEY/MINIO_SECRET_KEY) so root credentials can stay out of long-lived service configs. Worth tracking as a follow-up in the Etapa 1 roadmap rather than a blocker here.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/app/core/config.py` around lines 29 - 32, The config currently binds service credentials to MinIO root vars by aliasing minio_access_key/minio_secret_key to MINIO_ROOT_USER/MINIO_ROOT_PASSWORD; change the aliases on the Config fields minio_access_key and minio_secret_key to use dedicated service variable names (e.g., MINIO_ACCESS_KEY and MINIO_SECRET_KEY) and, if desired for backwards compatibility, accept MINIO_ROOT_USER/MINIO_ROOT_PASSWORD as deprecated fallbacks (log or document deprecation) so the app no longer requires embedding root credentials in long-lived service config.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@backend/app/services/health_checks.py`:
- Around line 47-58: The Minio constructor is lazy so creating a Minio(...) and
assigning to _ doesn't validate credentials; either remove that instantiation
altogether (keep the httpx.AsyncClient probe only) or actually exercise the
client to verify auth: create the Minio client (Minio(...)) then call a blocking
SDK operation via asyncio.to_thread (e.g., list_buckets) and catch exceptions to
return DependencyStatus(nome="minio", status="error", message=...) on failure
and "ok" on success; update the health check where httpx.AsyncClient and Minio
are used so failures from Minio.list_buckets are propagated and handled.
In `@docker-compose.yml`:
- Around line 84-89: The frontend container healthcheck is failing because the
Alpine-based frontend image (node:20.18.0-alpine) does not have wget installed;
update the frontend Dockerfile to install wget (e.g., add an apk add --no-cache
wget) so the docker-compose healthcheck test (the healthcheck test that calls
wget/curl) can succeed, or alternatively change the docker-compose healthcheck
for the frontend to use a Node-native endpoint check instead of wget/curl;
modify the Dockerfile that builds the frontend image (the one referencing
node:20.18.0-alpine) to include the package installation before the container
runtime and re-run docker-compose.
---
Nitpick comments:
In `@backend/app/core/config.py`:
- Around line 29-32: The config currently binds service credentials to MinIO
root vars by aliasing minio_access_key/minio_secret_key to
MINIO_ROOT_USER/MINIO_ROOT_PASSWORD; change the aliases on the Config fields
minio_access_key and minio_secret_key to use dedicated service variable names
(e.g., MINIO_ACCESS_KEY and MINIO_SECRET_KEY) and, if desired for backwards
compatibility, accept MINIO_ROOT_USER/MINIO_ROOT_PASSWORD as deprecated
fallbacks (log or document deprecation) so the app no longer requires embedding
root credentials in long-lived service config.
In `@backend/app/services/health_checks.py`:
- Around line 16-25: The URL rewrite in check_postgres is fragile because
settings.database_url.replace("+asyncpg", "") can mangle schemes like
"postgresql+asyncpg2" or silently no-op; change it to parse and rebuild the DSN
by using urllib.parse.urlsplit to split the URL, normalize the scheme with
scheme.split("+", 1)[0], then urlunsplit to reconstruct the DSN and pass that
dsn to asyncpg.connect (update the import to include urlsplit/urlunsplit); keep
the rest of check_postgres (execute/select/close/exception handling) unchanged
and use the new dsn variable instead of the replace call.
- Around line 63-70: The readiness gather in run_readiness_checks should pass
return_exceptions=True and then map any returned Exception objects into
DependencyStatus entries (e.g., status="erro" with the exception
message/details) so stray exceptions from check_postgres, check_redis, or
check_minio don't cause a 500; update run_readiness_checks to call
asyncio.gather(..., return_exceptions=True) and post-process the results list
converting Exception instances into DependencyStatus results while leaving
normal DependencyStatus objects untouched.
In `@frontend/src/app/globals.css`:
- Around line 1-3: The Stylelint false positive is caused by tailwind at-rules
like `@tailwind` in your globals.css being flagged by the scss/at-rule-no-unknown
rule; fix it by updating your Stylelint configuration (e.g., stylelint.config.js
or .stylelintrc) to either extend stylelint-config-tailwindcss or adjust the
at-rule rule: set "scss/at-rule-no-unknown": [true, { "ignoreAtRules":
["tailwind","apply","layer","screen","variants","responsive"] }] (or the
equivalent "at-rule-no-unknown" setting) so the `@tailwind`, `@apply`, `@layer`,
`@screen`, `@variants` and `@responsive` directives are whitelisted and CI will stop
flagging `@tailwind` in globals.css.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: 15cddfa0-4fcc-4ac8-a4be-05e158b9fe36
⛔ Files ignored due to path filters (1)
frontend/package-lock.jsonis excluded by!**/package-lock.json
📒 Files selected for processing (22)
.env.exampleREADME.mdbackend/Dockerfilebackend/app/api/routes/health.pybackend/app/api/routes/modality.pybackend/app/core/config.pybackend/app/main.pybackend/app/schemas/health.pybackend/app/schemas/modality.pybackend/app/services/__init__.pybackend/app/services/health_checks.pydocker-compose.ymldocs/pt-br/etapa-1-setup.mdfrontend/.eslintrc.jsonfrontend/Dockerfilefrontend/package.jsonfrontend/src/app/globals.cssfrontend/src/app/overlay/live/layout.tsxfrontend/src/app/overlay/live/page.tsxfrontend/src/app/page.tsxfrontend/src/components/status-card.tsxfrontend/tsconfig.json
✅ Files skipped from review due to trivial changes (8)
- frontend/.eslintrc.json
- frontend/src/app/overlay/live/page.tsx
- frontend/tsconfig.json
- frontend/Dockerfile
- frontend/package.json
- backend/Dockerfile
- docs/pt-br/etapa-1-setup.md
- README.md
🚧 Files skipped from review as they are similar to previous changes (5)
- backend/app/main.py
- frontend/src/app/page.tsx
- backend/app/schemas/modality.py
- backend/app/api/routes/health.py
- backend/app/api/routes/modality.py
| try: | ||
| async with httpx.AsyncClient(timeout=2) as client: | ||
| response = await client.get(url) | ||
| response.raise_for_status() | ||
|
|
||
| _ = Minio( | ||
| endpoint=settings.minio_endpoint, | ||
| access_key=settings.minio_access_key, | ||
| secret_key=settings.minio_secret_key, | ||
| secure=settings.minio_secure, | ||
| ) | ||
| return DependencyStatus(nome="minio", status="ok") |
There was a problem hiding this comment.
Instantiating Minio(...) without calling anything doesn't validate credentials.
The minio SDK constructor is lazy — it just stores configuration and does not contact the server or verify the keys. Assigning to _ and returning ok makes the check look stronger than it is: the readiness endpoint will report minio: ok even with invalid access_key/secret_key as long as the public /minio/health/live endpoint responds.
Either remove the dead instantiation (the HTTP probe is already sufficient for liveness), or actually exercise the client (e.g., await asyncio.to_thread(client.list_buckets)) so auth is really covered.
🛡️ Option A — drop the misleading instantiation
try:
async with httpx.AsyncClient(timeout=2) as client:
response = await client.get(url)
response.raise_for_status()
-
- _ = Minio(
- endpoint=settings.minio_endpoint,
- access_key=settings.minio_access_key,
- secret_key=settings.minio_secret_key,
- secure=settings.minio_secure,
- )
return DependencyStatus(nome="minio", status="ok")
except Exception as exc: # pragma: no cover
return DependencyStatus(nome="minio", status="erro", detalhe=str(exc))🛡️ Option B — actually exercise credentials
- _ = Minio(
+ client_minio = Minio(
endpoint=settings.minio_endpoint,
access_key=settings.minio_access_key,
secret_key=settings.minio_secret_key,
secure=settings.minio_secure,
)
+ await asyncio.to_thread(client_minio.list_buckets)
return DependencyStatus(nome="minio", status="ok")📝 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.
| try: | |
| async with httpx.AsyncClient(timeout=2) as client: | |
| response = await client.get(url) | |
| response.raise_for_status() | |
| _ = Minio( | |
| endpoint=settings.minio_endpoint, | |
| access_key=settings.minio_access_key, | |
| secret_key=settings.minio_secret_key, | |
| secure=settings.minio_secure, | |
| ) | |
| return DependencyStatus(nome="minio", status="ok") | |
| try: | |
| async with httpx.AsyncClient(timeout=2) as client: | |
| response = await client.get(url) | |
| response.raise_for_status() | |
| return DependencyStatus(nome="minio", status="ok") | |
| except Exception as exc: # pragma: no cover | |
| return DependencyStatus(nome="minio", status="erro", detalhe=str(exc)) |
| try: | |
| async with httpx.AsyncClient(timeout=2) as client: | |
| response = await client.get(url) | |
| response.raise_for_status() | |
| _ = Minio( | |
| endpoint=settings.minio_endpoint, | |
| access_key=settings.minio_access_key, | |
| secret_key=settings.minio_secret_key, | |
| secure=settings.minio_secure, | |
| ) | |
| return DependencyStatus(nome="minio", status="ok") | |
| try: | |
| async with httpx.AsyncClient(timeout=2) as client: | |
| response = await client.get(url) | |
| response.raise_for_status() | |
| client_minio = Minio( | |
| endpoint=settings.minio_endpoint, | |
| access_key=settings.minio_access_key, | |
| secret_key=settings.minio_secret_key, | |
| secure=settings.minio_secure, | |
| ) | |
| await asyncio.to_thread(client_minio.list_buckets) | |
| return DependencyStatus(nome="minio", status="ok") | |
| except Exception as exc: # pragma: no cover | |
| return DependencyStatus(nome="minio", status="erro", detalhe=str(exc)) |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/app/services/health_checks.py` around lines 47 - 58, The Minio
constructor is lazy so creating a Minio(...) and assigning to _ doesn't validate
credentials; either remove that instantiation altogether (keep the
httpx.AsyncClient probe only) or actually exercise the client to verify auth:
create the Minio client (Minio(...)) then call a blocking SDK operation via
asyncio.to_thread (e.g., list_buckets) and catch exceptions to return
DependencyStatus(nome="minio", status="error", message=...) on failure and "ok"
on success; update the health check where httpx.AsyncClient and Minio are used
so failures from Minio.list_buckets are propagated and handled.
| healthcheck: | ||
| test: ["CMD", "curl", "-f", "http://localhost:8000/api/v1/health/live"] | ||
| interval: 15s | ||
| timeout: 5s | ||
| retries: 8 | ||
| restart: unless-stopped |
There was a problem hiding this comment.
🧩 Analysis chain
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#!/bin/bash
# Inspect backend and frontend Dockerfiles for curl/wget availability.
fd -HI -t f 'Dockerfile' backend frontend 2>/dev/null | while read -r f; do
echo "=== $f ==="
cat -n "$f"
doneRepository: ringuemkt-rgb/cria-do-tatame
Length of output: 1817
🏁 Script executed:
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# Attempt to access the repository and check Dockerfiles and docker-compose.yml
# Try to locate and examine the relevant files
# First, check if we can access the repo via a web search or alternative method
# Let's look for the structure
find . -name "docker-compose.yml" -o -name "Dockerfile*" 2>/dev/null | head -20Repository: ringuemkt-rgb/cria-do-tatame
Length of output: 135
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python slim image curl availability base image
💡 Result:
The official Python slim Docker images (e.g., python:3.12-slim, python:slim) are based on debian:bookworm-slim (or similar Debian slim variants). These minimal base images do not include the curl binary by default. To verify and add curl if needed: 1. Run a container and check: docker run --rm python:slim which curl # Returns empty (not found) docker run --rm python:slim dpkg -l | grep curl # No curl package listed 2. Install curl in your Dockerfile: FROM python:slim RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/* Official docs confirm slim variants contain only minimal packages for running Python, lacking common utilities like curl, gcc, etc. (Docker Hub python page, GitHub docker-library/python issues #1352, #882). Debian bookworm-slim package list (from repo-info) includes base essentials (bash, coreutils, etc.) but no curl. Use non-slim python images if you need curl pre-installed, or add it explicitly to slim for smaller size.
Citations:
- 1: https://hub.docker.com/_/python
- 2: https://hub.docker.com/_/python/?name=3.10-slim&tab=description
- 3: https://github.com/docker-library/python
- 4: Docker: for python based images, use the -slim version nginx/unit#1352
- 5: https://stackoverflow.com/questions/34571711/cant-run-curl-command-inside-my-docker-container
- 6: gcc is missing in slim images for Python 3.10 docker-library/python#882
- 7: https://github.com/docker-library/python/tree/master/3.11/slim-bookworm
- 8: https://github.com/docker-library/python/blob/master/3.12/slim-bookworm/Dockerfile
- 9: https://github.com/docker-library/python/blob/master/3.11/slim-bookworm/Dockerfile
- 10: https://github.com/docker-library/python/blob/master/Dockerfile-linux.template
- 11: https://github.com/docker-library/repo-info/blob/master/repos/debian/local/bookworm-slim.md
🌐 Web query:
node slim image wget availability nodejs base image
💡 Result:
No, wget is not available in the official Node.js slim Docker images (e.g., node:20-bookworm-slim, node:lts-slim). These images are based on Debian slim variants and intentionally exclude common utilities like wget and curl to minimize size and attack surface, containing only the minimal packages needed to run Node.js. The Dockerfiles install wget, curl, ca-certificates, gnupg, etc., temporarily during the build process to download Node.js binaries, but then purge unnecessary packages with apt-get purge -y --auto-remove. This results in final images without wget. Older versions (pre-2020) had wget due to build side-effects, but changes in PR #1182 and issues #1185/#1186 removed them explicitly. Docker Hub docs confirm: "This image does not contain the common packages contained in the default tag and only contains the minimal packages needed to run node." To use wget, add to your Dockerfile: RUN apt-get update && apt-get install -y wget && rm -rf /var/lib/apt/lists/* Prefer curl (also absent) or Node.js modules like node-fetch/axios for downloads. Use multi-stage builds for production to avoid adding tools to final images. Note: node:*-alpine images also lack wget (uses apk add if needed).
Citations:
- 1: https://github.com/nodejs/docker-node/blob/main/20/bookworm-slim/Dockerfile
- 2: https://github.com/nodejs/docker-node/blob/main/Dockerfile-slim.template
- 3: https://hub.docker.com/_/node
- 4: curl no longer shipped with node:slim nodejs/docker-node#1185
- 5: curl no longer shipped with node:slim nodejs/docker-node#1185
🏁 Script executed:
#!/bin/bash
# Read the Dockerfiles and docker-compose.yml
echo "=== Backend Dockerfile ==="
cat -n ./backend/Dockerfile
echo -e "\n=== Frontend Dockerfile ==="
cat -n ./frontend/Dockerfile
echo -e "\n=== docker-compose.yml (focusing on health checks) ==="
cat -n ./docker-compose.ymlRepository: ringuemkt-rgb/cria-do-tatame
Length of output: 6086
Frontend health check will fail: wget is not available in Alpine images.
The backend health check is properly configured—curl is explicitly installed in the backend Dockerfile (line 11). However, the frontend Dockerfile uses node:20.18.0-alpine but does not install wget, which the health check requires (docker-compose.yml line 129). Alpine images do not include wget by default, causing the frontend container to report unhealthy indefinitely and blocking service startup.
Add wget to the frontend Dockerfile:
RUN apk add --no-cache wget
Alternatively, use a Node.js native health check instead of relying on external tools.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docker-compose.yml` around lines 84 - 89, The frontend container healthcheck
is failing because the Alpine-based frontend image (node:20.18.0-alpine) does
not have wget installed; update the frontend Dockerfile to install wget (e.g.,
add an apk add --no-cache wget) so the docker-compose healthcheck test (the
healthcheck test that calls wget/curl) can succeed, or alternatively change the
docker-compose healthcheck for the frontend to use a Node-native endpoint check
instead of wget/curl; modify the Dockerfile that builds the frontend image (the
one referencing node:20.18.0-alpine) to include the package installation before
the container runtime and re-run docker-compose.
There was a problem hiding this comment.
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| for evento in payload.eventos: | ||
| scoring.process_event(evento) | ||
|
|
||
| tipo = "submission_attempt" if "mount" in evento.acao else "sweep_success" |
There was a problem hiding this comment.
Map insight type from action instead of mount substring
The simulation endpoint currently derives FightEvent.tipo with "submission_attempt" if "mount" in evento.acao else "sweep_success", so every non-mount action (including stalling, illegal_grip, takedown, and guard_pass) is forced into the sweep_success template. This produces systematically incorrect technical insights (for example, penalized stalling events can emit positive sweep feedback), which makes /api/v1/analysis/simulate outputs unreliable for validating the analysis pipeline.
Useful? React with 👍 / 👎.
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Actionable comments posted: 4
🧹 Nitpick comments (4)
backend/app/analysis/grappling_classifier.py (1)
5-19: AnnotatetaxonomyasClassVarto silence RUF012 and document intent.The dict is a read-only lookup, so mutability isn't a real bug, but adding a
ClassVarannotation clarifies the contract and addresses Ruff's RUF012 warning.♻️ Proposed refactor
-"""Classificador leve de ações de grappling (baseline de produção).""" +"""Classificador leve de ações de grappling (baseline de produção).""" + +from typing import ClassVar class GrapplingClassifier: - taxonomy = { + taxonomy: ClassVar[dict[str, str]] = { "takedown_attempt": "Tentativa de queda",🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/app/analysis/grappling_classifier.py` around lines 5 - 19, The module-level variable taxonomy is a read-only lookup causing Ruff RUF012; annotate it as a ClassVar to document intent and silence the warning by importing ClassVar (and Dict or Mapping) from typing and changing the declaration of taxonomy to taxonomy: ClassVar[Dict[str, str]] = {...} (or ClassVar[Mapping[str, str]] if you prefer immutability semantics), keeping the existing keys/values intact; ensure the import statement for ClassVar is added at the top of grappling_classifier.py.backend/app/analysis/scoring_engine.py (1)
19-31: Minor: advantage is counted regardless ofresultado["valid"].Points are gated by
resultado["valid"](line 27) but advantage at line 30 is not. GivenBJJRulesEnginecurrently only raises an advantage on whitelisted near-* actions withvalid=True, this isn't a live bug — but tying both tovalidwould be more defensive against future rule-engine changes.♻️ Suggested guard
- if resultado["valid"] and int(resultado["points"]) > 0: - self.placar[atleta] += int(resultado["points"]) - - if bool(resultado["advantage"]): - self.vantagens[atleta] += 1 + if resultado["valid"]: + if int(resultado["points"]) > 0: + self.placar[atleta] += int(resultado["points"]) + if bool(resultado["advantage"]): + self.vantagens[atleta] += 1🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/app/analysis/scoring_engine.py` around lines 19 - 31, The process_event method increments vantagens based on resultado["advantage"] without checking resultado["valid"], so update process_event (the method handling GrapplingAction) to only increment self.vantagens[atleta] when resultado["valid"] is truthy and resultado["advantage"] is truthy (i.e., combine the existing valid check used for points with the advantage check), keeping the existing penalidades and placar logic unchanged; reference the variables/methods resultado, self.vantagens, self.placar, self.penalidades and the process_event function when making the change.backend/app/analysis/insight_generator.py (1)
28-34: Biomech override silently hides the low-confidence cue.When both
event.confianca < 0.6andevent.biomecanica_flagsare true,indicejumps from 1 to 2 and the user never sees the cautionary variant. If that’s intentional (biomec always wins), consider documenting it; otherwise surface both concerns, e.g. by compositing a prefix:♻️ Optional composition
- indice = 0 - if event.confianca < 0.6 and len(opcoes) > 1: - indice = 1 - if event.biomecanica_flags and len(opcoes) > 2: - indice = 2 - - base_msg = opcoes[indice] + if event.biomecanica_flags and len(opcoes) > 2: + base_msg = opcoes[2] + elif event.confianca < 0.6 and len(opcoes) > 1: + base_msg = opcoes[1] + else: + base_msg = opcoes[0] + if event.confianca < 0.6: + base_msg = "⚠️ Baixa confiança — " + base_msg🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/app/analysis/insight_generator.py` around lines 28 - 34, The current selection logic in insight_generator.py uses a single index variable (indice) to pick base_msg from opcoes so event.biomecanica_flags (setting indice=2) silently overrides a low-confidence cue (event.confianca < 0.6, indice=1); update the logic in the block around event.confianca, event.biomecanica_flags, opcoes and base_msg to surface both concerns instead of clobbering one: either document that biomecanica wins (if intended) or change selection to composite the messages when both conditions are true (e.g., prepend the low-confidence caution from opcoes[1] to the biomechanical message from opcoes[2] or merge their text), ensuring you no longer rely on a single indice overwrite and that base_msg reflects the composed result.backend/requirements.txt (1)
8-10: Verifysqlalchemyandpsycopg2-binaryare actually used.The only DB client referenced in the provided context is
asyncpg(used inbackend/app/services/health_checks.py). If no SQLAlchemy ORM or sync psycopg2 code paths exist yet, dropping these reduces image size and CVE surface.#!/bin/bash # Find actual imports/usages of sqlalchemy and psycopg2 across the backend. rg -nP --type=py -C2 '\b(from|import)\s+(sqlalchemy|psycopg2)\b' backend || echo "No direct usages found." rg -nP --type=py -C2 '\bcreate_async_engine|declarative_base|sessionmaker\b' backend || true🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@backend/requirements.txt` around lines 8 - 10, Check whether sqlalchemy and psycopg2-binary are actually used anywhere in the backend by searching for imports and ORM/engine/session symbols (look for "import sqlalchemy", "from sqlalchemy", "import psycopg2", "from psycopg2", and ORM symbols like "create_async_engine", "declarative_base", "sessionmaker"); if those searches return no usages, remove the "sqlalchemy==2.0.36" and "psycopg2-binary==2.9.10" entries from backend/requirements.txt to reduce image size and CVE surface, and update any build/CI manifests (Dockerfile, constraints files) that reference them; if you find code using sqlalchemy or psycopg2 (e.g., functions/classes that call create_async_engine, declarative_base, sessionmaker, or psycopg2 connections), keep the packages and document where they are used.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@backend/app/analysis/insight_generator.py`:
- Around line 18-22: The "submission_attempt" template array is ordered
incorrectly so that index 2 is the positive message while other tipos treat
index 1 as the low-confidence caution and index 2 as the biomechanical warning;
fix this by reordering the strings in the submission_attempt list to match the
convention used by guard_pass_complete and sweep_success (index 0 = default,
index 1 = low-confidence cautionary, index 2 = biomechanical warning) so
biomechanical flags produce the warning message (also consider migrating these
positional lists to a keyed dict like {"default", "low_confidence",
"biomech_warning"} in the future to prevent this class of bug).
In `@backend/app/analysis/rules/bjj_rules_engine.py`:
- Around line 26-34: The current branch only treats illegal_grip as a penalty
for nogi and lets it fall through as a valid zero-point action for gi; update
the logic that checks action.acao == "illegal_grip" (in the same method using
self.modality, action.acao, points_config and calculate_advantage) so that any
action flagged "illegal_grip" is returned as invalid and emits an appropriate
penalty string for both modalities (e.g., return {"valid": False, "points": 0,
"advantage": False, "penalty": <penalty_text>}), and if you need
modality-specific wording choose the penalty text based on self.modality before
returning.
In `@backend/app/api/routes/analysis.py`:
- Around line 28-33: The code incorrectly derives tipo using a substring check
("mount" in evento.acao) and a lossy default of "sweep_success", causing many
actions to be misclassified; replace that logic by mapping evento.acao exactly
to a well-defined tipo via an explicit mapping (e.g., a dict of action -> tipo)
and use exact equality/key lookup rather than substring tests, then pass the
mapped tipo into FightEvent in the call to insight_engine.generate (keep
existing references to FightEvent, evento.acao, payload.modalidade,
insight_engine.generate, and insights.append to locate where to change the
logic).
In `@backend/requirements.txt`:
- Around line 1-19: The requirements.txt pins FastAPI at "fastapi==0.115.5"
which pulls a vulnerable Starlette; update that entry to "fastapi>=0.136.0" (or
a specific newer version >=0.136.0) so a patched Starlette is used, then
regenerate any lock or frozen requirements (e.g., pip-compile or pip freeze) and
run the test suite and dependency checks to ensure compatibility with the
updated FastAPI.
---
Nitpick comments:
In `@backend/app/analysis/grappling_classifier.py`:
- Around line 5-19: The module-level variable taxonomy is a read-only lookup
causing Ruff RUF012; annotate it as a ClassVar to document intent and silence
the warning by importing ClassVar (and Dict or Mapping) from typing and changing
the declaration of taxonomy to taxonomy: ClassVar[Dict[str, str]] = {...} (or
ClassVar[Mapping[str, str]] if you prefer immutability semantics), keeping the
existing keys/values intact; ensure the import statement for ClassVar is added
at the top of grappling_classifier.py.
In `@backend/app/analysis/insight_generator.py`:
- Around line 28-34: The current selection logic in insight_generator.py uses a
single index variable (indice) to pick base_msg from opcoes so
event.biomecanica_flags (setting indice=2) silently overrides a low-confidence
cue (event.confianca < 0.6, indice=1); update the logic in the block around
event.confianca, event.biomecanica_flags, opcoes and base_msg to surface both
concerns instead of clobbering one: either document that biomecanica wins (if
intended) or change selection to composite the messages when both conditions are
true (e.g., prepend the low-confidence caution from opcoes[1] to the
biomechanical message from opcoes[2] or merge their text), ensuring you no
longer rely on a single indice overwrite and that base_msg reflects the composed
result.
In `@backend/app/analysis/scoring_engine.py`:
- Around line 19-31: The process_event method increments vantagens based on
resultado["advantage"] without checking resultado["valid"], so update
process_event (the method handling GrapplingAction) to only increment
self.vantagens[atleta] when resultado["valid"] is truthy and
resultado["advantage"] is truthy (i.e., combine the existing valid check used
for points with the advantage check), keeping the existing penalidades and
placar logic unchanged; reference the variables/methods resultado,
self.vantagens, self.placar, self.penalidades and the process_event function
when making the change.
In `@backend/requirements.txt`:
- Around line 8-10: Check whether sqlalchemy and psycopg2-binary are actually
used anywhere in the backend by searching for imports and ORM/engine/session
symbols (look for "import sqlalchemy", "from sqlalchemy", "import psycopg2",
"from psycopg2", and ORM symbols like "create_async_engine", "declarative_base",
"sessionmaker"); if those searches return no usages, remove the
"sqlalchemy==2.0.36" and "psycopg2-binary==2.9.10" entries from
backend/requirements.txt to reduce image size and CVE surface, and update any
build/CI manifests (Dockerfile, constraints files) that reference them; if you
find code using sqlalchemy or psycopg2 (e.g., functions/classes that call
create_async_engine, declarative_base, sessionmaker, or psycopg2 connections),
keep the packages and document where they are used.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
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📒 Files selected for processing (18)
README.mdbackend/app/analysis/__init__.pybackend/app/analysis/grappling_classifier.pybackend/app/analysis/insight_generator.pybackend/app/analysis/modality_detector.pybackend/app/analysis/rules/__init__.pybackend/app/analysis/rules/bjj_rules_engine.pybackend/app/analysis/scoring_engine.pybackend/app/api/routes/analysis.pybackend/app/api/routes/health.pybackend/app/main.pybackend/app/schemas/__init__.pybackend/app/schemas/analysis.pybackend/requirements.txtbackend/tests/test_bjj_rules_engine.pybackend/tests/test_insight_generator.pybackend/tests/test_scoring_engine.pydocs/pt-br/etapa-1-setup.md
✅ Files skipped from review due to trivial changes (3)
- backend/app/analysis/init.py
- backend/app/schemas/init.py
- backend/app/analysis/rules/init.py
🚧 Files skipped from review as they are similar to previous changes (3)
- docs/pt-br/etapa-1-setup.md
- backend/app/api/routes/health.py
- README.md
| "submission_attempt": [ | ||
| "🔍 Finalização bem montada: isolamento de membro + controle de postura.", | ||
| "⚠️ Falta de pressão contínua. Defesa adversária recuperando espaço.", | ||
| "✅ Sequência de transição impecável: guarda → costas → mata-leão.", | ||
| ], |
There was a problem hiding this comment.
Template ordering for submission_attempt is inverted vs. the other tipos.
The selection logic at lines 29–32 treats index 1 as "low-confidence cautionary" and index 2 as "biomechanical warning". That holds for guard_pass_complete and sweep_success, but for submission_attempt the array is reversed — index 2 is the ✅ Sequência de transição impecável... (positive) message. So an athlete with biomechanical flags on a submission attempt gets a celebratory message instead of a warning. The biomec appendix (line 38) still fires, but the primary line contradicts the cue.
🐛 Proposed reorder to match siblings
"submission_attempt": [
- "🔍 Finalização bem montada: isolamento de membro + controle de postura.",
- "⚠️ Falta de pressão contínua. Defesa adversária recuperando espaço.",
"✅ Sequência de transição impecável: guarda → costas → mata-leão.",
+ "🔍 Finalização bem montada: isolamento de membro + controle de postura.",
+ "⚠️ Falta de pressão contínua. Defesa adversária recuperando espaço.",
],Longer term, consider replacing the positional index with explicit categories (e.g. {"default": ..., "low_confidence": ..., "biomech_warning": ...}) so this class of bug cannot recur.
📝 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.
| "submission_attempt": [ | |
| "🔍 Finalização bem montada: isolamento de membro + controle de postura.", | |
| "⚠️ Falta de pressão contínua. Defesa adversária recuperando espaço.", | |
| "✅ Sequência de transição impecável: guarda → costas → mata-leão.", | |
| ], | |
| "submission_attempt": [ | |
| "✅ Sequência de transição impecável: guarda → costas → mata-leão.", | |
| "🔍 Finalização bem montada: isolamento de membro + controle de postura.", | |
| "⚠️ Falta de pressão contínua. Defesa adversária recuperando espaço.", | |
| ], |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/app/analysis/insight_generator.py` around lines 18 - 22, The
"submission_attempt" template array is ordered incorrectly so that index 2 is
the positive message while other tipos treat index 1 as the low-confidence
caution and index 2 as the biomechanical warning; fix this by reordering the
strings in the submission_attempt list to match the convention used by
guard_pass_complete and sweep_success (index 0 = default, index 1 =
low-confidence cautionary, index 2 = biomechanical warning) so biomechanical
flags produce the warning message (also consider migrating these positional
lists to a keyed dict like {"default", "low_confidence", "biomech_warning"} in
the future to prevent this class of bug).
| if action.acao == "illegal_grip" and self.modality == "nogi": | ||
| return {"valid": False, "points": 0, "advantage": False, "penalty": "pegada irregular"} | ||
|
|
||
| if action.acao == "stalling": | ||
| return {"valid": False, "points": 0, "advantage": False, "penalty": "evitação de combate"} | ||
|
|
||
| points = self.points_config.get(action.acao, 0) | ||
| advantage = self.calculate_advantage(action.acao, action.duracao_ms) | ||
| return {"valid": True, "points": points, "advantage": advantage, "penalty": None} |
There was a problem hiding this comment.
illegal_grip silently treated as a valid, zero-point action in GI.
When modality == "gi" and acao == "illegal_grip", the branch at line 26 is skipped and execution falls through to line 32, returning {"valid": True, "points": 0, "advantage": False, "penalty": None}. If the upstream pipeline has already labeled the action as an illegal grip, the rules engine should still emit a penalty (or at least valid=False) in GI — definitions differ between GI/NoGi, but an event flagged as illegal should never score as a valid neutral action. This will cause ScoringEngine to skip incrementing the penalty counter for GI illegal grips.
🛡️ Suggested fix
- if action.acao == "illegal_grip" and self.modality == "nogi":
- return {"valid": False, "points": 0, "advantage": False, "penalty": "pegada irregular"}
+ if action.acao == "illegal_grip":
+ return {"valid": False, "points": 0, "advantage": False, "penalty": "pegada irregular"}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/app/analysis/rules/bjj_rules_engine.py` around lines 26 - 34, The
current branch only treats illegal_grip as a penalty for nogi and lets it fall
through as a valid zero-point action for gi; update the logic that checks
action.acao == "illegal_grip" (in the same method using self.modality,
action.acao, points_config and calculate_advantage) so that any action flagged
"illegal_grip" is returned as invalid and emits an appropriate penalty string
for both modalities (e.g., return {"valid": False, "points": 0, "advantage":
False, "penalty": <penalty_text>}), and if you need modality-specific wording
choose the penalty text based on self.modality before returning.
| tipo = "submission_attempt" if "mount" in evento.acao else "sweep_success" | ||
| insight = insight_engine.generate( | ||
| FightEvent(tipo=tipo, confianca=evento.confianca, atleta=evento.atleta), | ||
| MatchContext(modalidade=payload.modalidade), | ||
| ) | ||
| insights.append(insight) |
There was a problem hiding this comment.
Incorrect tipo derivation: substring match and lossy default.
Two problems on line 28:
"mount" in evento.acaois a substring match, sonear_mountalso resolves to"submission_attempt"— butnear_mountis a positional/advantage cue, not a submission attempt.- Every other
acaovalue (takedown,sweep,guard_pass,knee_on_belly,back_control,near_pass,near_back,illegal_grip,stalling) falls into the"sweep_success"default, which is semantically wrong — atakedownisn't a sweep, andstallingis certainly not a "success" event. The generated insights will be misleading for 9 of the 11 possible actions.
Use equality and an explicit mapping so each action maps to a meaningful tipo.
🔧 Suggested fix
+ACAO_TO_TIPO: dict[str, str] = {
+ "mount": "submission_attempt",
+ "back_control": "submission_attempt",
+ "sweep": "sweep_success",
+ "guard_pass": "pass_success",
+ "takedown": "takedown_success",
+ "knee_on_belly": "control_success",
+ "near_pass": "pass_attempt",
+ "near_back": "back_attempt",
+ "near_mount": "mount_attempt",
+ "illegal_grip": "foul",
+ "stalling": "foul",
+}
+
`@router.post`("/simulate", response_model=SimulateAnalysisResponse)
async def simulate_analysis(payload: SimulateAnalysisRequest) -> SimulateAnalysisResponse:
@@
for evento in payload.eventos:
scoring.process_event(evento)
- tipo = "submission_attempt" if "mount" in evento.acao else "sweep_success"
+ tipo = ACAO_TO_TIPO.get(evento.acao, "generic_event")
insight = insight_engine.generate(🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/app/api/routes/analysis.py` around lines 28 - 33, The code
incorrectly derives tipo using a substring check ("mount" in evento.acao) and a
lossy default of "sweep_success", causing many actions to be misclassified;
replace that logic by mapping evento.acao exactly to a well-defined tipo via an
explicit mapping (e.g., a dict of action -> tipo) and use exact equality/key
lookup rather than substring tests, then pass the mapped tipo into FightEvent in
the call to insight_engine.generate (keep existing references to FightEvent,
evento.acao, payload.modalidade, insight_engine.generate, and insights.append to
locate where to change the logic).
| fastapi==0.115.5 | ||
| uvicorn[standard]==0.32.1 | ||
| pydantic==2.10.3 | ||
| pydantic-settings==2.6.1 | ||
| python-json-logger==2.0.7 | ||
| celery==5.4.0 | ||
| redis==5.2.0 | ||
| sqlalchemy==2.0.36 | ||
| asyncpg==0.30.0 | ||
| psycopg2-binary==2.9.10 | ||
| minio==7.2.12 | ||
| opencv-python-headless==4.10.0.84 | ||
| numpy==2.1.3 | ||
| yt-dlp==2026.3.17 | ||
| python-multipart==0.0.17 | ||
| websockets==13.1 | ||
| httpx==0.27.2 | ||
| prometheus-client==0.21.1 | ||
| pytest==8.3.4 |
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🧩 Analysis chain
🌐 Web query:
Which FastAPI release first pins Starlette >= 0.47.2 to fix GHSA-2c2j-9gv5-cj73 and GHSA-7f5h-v6xp-fcq8?
💡 Result:
FastAPI release: 0.116.0 FastAPI 0.116.0 is the first FastAPI version whose dependency metadata pins Starlette to versions that exclude the advisory-affected ranges for both GHSA-2c2j-9gv5-cj73 and GHSA-7f5h-v6xp-fcq8 (i.e., it first includes Starlette >= 0.47.2, and thus also avoids the <= 0.49.0 Range-header DoS affected window once the pin advances past the vulnerable cutoff).
Citations:
- 1: FastAPI dependency range still allows Starlette versions with published 2025 security advisories fastapi/fastapi#15193
- 2: ⬆ Bump starlette from 0.46.2 to 0.49.1 fastapi/full-stack-fastapi-template#2204
- 3: GHSA-2c2j-9gv5-cj73
- 4: GHSA-7f5h-v6xp-fcq8
🌐 Web query:
What version of Starlette does FastAPI 0.115.5 depend on?
💡 Result:
FastAPI 0.115.5 depends on Starlette >=0.40.0,<0.47.0.
Citations:
- 1: ./setup.sh fails: fastapi and starlette version mismatch srbhr/Resume-Matcher#543
- 2: https://github.com/fastapi/fastapi/releases/tag/0.115.10
🌐 Web query:
Is Starlette 0.41.3 affected by GHSA-2c2j-9gv5-cj73 and GHSA-7f5h-v6xp-fcq8?
💡 Result:
Yes, Starlette 0.41.3 is affected by both GHSA-2c2j-9gv5-cj73 and GHSA-7f5h-v6xp-fcq8. GHSA-2c2j-9gv5-cj73 (CVE-2025-54121): Affects versions up to 0.47.1 (fixed in 0.47.2). Starlette 0.41.3 < 0.47.2, so affected. GHSA-7f5h-v6xp-fcq8 (CVE-2025-62727): Affects versions >=0.39.0 and <=0.49.0 (fixed in 0.49.1). Starlette 0.41.3 is within this range, so affected. Starlette 0.41.3 release notes mention minor fixes but no security patches for these issues, confirming vulnerability.
Citations:
- 1: GHSA-2c2j-9gv5-cj73
- 2: https://nvd.nist.gov/vuln/detail/CVE-2025-54121
- 3: GHSA-7f5h-v6xp-fcq8
- 4: https://osv.dev/GHSA-7f5h-v6xp-fcq8
- 5: GHSA-7f5h-v6xp-fcq8
- 6: https://advisories.ecosyste.ms/advisories/GSA_kwCzR0hTQS03ZjVoLXY2eHAtZmNxOM4ABN8a
- 7: https://cve.circl.lu/vuln/ghsa-2c2j-9gv5-cj73
- 8: https://nvd.nist.gov/vuln/detail/cve-2025-62727
🌐 Web query:
What is the latest stable FastAPI version available as of 2026?
💡 Result:
As of 2026-04-23, the latest stable FastAPI version is 0.136.0. This is supported by the FastAPI release notes page showing 0.136.0 (dated 2026-04-16) as the latest entry, and by the PyPI package page listing the current version as 0.136.0.
Citations:
Upgrade fastapi to a current version to resolve high-severity DoS vulnerabilities in Starlette.
FastAPI 0.115.5 pulls Starlette 0.41.3, which is affected by two HIGH-severity DoS vulnerabilities:
- GHSA-2c2j-9gv5-cj73 (multipart handling, fixed in Starlette 0.47.2)
- GHSA-7f5h-v6xp-fcq8 (Range header in FileResponse, fixed in Starlette 0.49.1)
Upgrade to FastAPI 0.136.0 or later to pull a patched Starlette version that resolves both issues.
🧰 Tools
🪛 OSV Scanner (2.3.5)
[HIGH] 1-1: python-multipart 0.0.17: Denial of service (DoS) via deformation multipart/form-data boundary
[HIGH] 1-1: python-multipart 0.0.17: python-multipart affected by Denial of Service via large multipart preamble or epilogue data
[HIGH] 1-1: python-multipart 0.0.17: Python-Multipart has Arbitrary File Write via Non-Default Configuration
[HIGH] 1-1: pycryptodome 3.9.9: PyCryptodome and pycryptodomex side-channel leakage for OAEP decryption
[HIGH] 1-1: starlette 0.41.3: Starlette has possible denial-of-service vector when parsing large files in multipart forms
[HIGH] 1-1: starlette 0.41.3: Starlette vulnerable to O(n^2) DoS via Range header merging in starlette.responses.FileResponse
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@backend/requirements.txt` around lines 1 - 19, The requirements.txt pins
FastAPI at "fastapi==0.115.5" which pulls a vulnerable Starlette; update that
entry to "fastapi>=0.136.0" (or a specific newer version >=0.136.0) so a patched
Starlette is used, then regenerate any lock or frozen requirements (e.g.,
pip-compile or pip freeze) and run the test suite and dependency checks to
ensure compatibility with the updated FastAPI.
Motivation
Description
docker-compose.ymlorquestrandopostgres(TimescaleDB),redis,minio,backend,workerefrontendcom healthchecks e volumes; inclui./.env.examplecom variáveis padrão.backend/app/core/config.py), logging JSON (backend/app/core/logging.py), endpoint de healthGET /api/v1/healthe fallback de modalidadePOST /api/v1/modality/overrideusando Pydantic schemas; incluibackend/Dockerfileebackend/requirements.txt./e/overlay/live, configuração TypeScript/Tailwind mínima,frontend/Dockerfile,package.jsonepackage-lock.jsonpara desenvolvimento e overlay OBS.README.mdedocs/pt-br/etapa-1-setup.mdcom comandos de validação e próximos passos para a Etapa 2.Testing
python -m compileall backend/appe a compilação dos módulos Python foi bem-sucedida.cd frontend && npm installque concluiu com sucesso porém apresentou aviso(s) de vulnerabilidade (relatório donpm audit) e dependências instaladas; em seguidacd frontend && npm run buildcompilou e gerou o build estático com sucesso.cd frontend && npm run lintque abriu o assistente interativo do ESLint em ambiente não interativo, portanto não foi finalizado automaticamente; status: interativo/pendente de configuração.docker compose configfalhou no ambiente de execução por ausência do bináriodocker, portanto verificação de orquestração local não pôde ser concluída neste runner.Codex Task
Summary by CodeRabbit
New Features
Documentation
Chores
Tests