Implement complete app scaffolding with Next.js 15 frontend and FastAPI backend#5
Implement complete app scaffolding with Next.js 15 frontend and FastAPI backend#5
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Important Review skippedBot user detected. To trigger a single review, invoke the You can disable this status message by setting the Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. WalkthroughInitial project scaffolding adds a FastAPI backend with SQLite via SQLAlchemy, CRUD endpoints for notes and bookmarks, a Next.js 15 frontend with basic pages and layout, deployment config for Vercel routing between frontend and Python backend, development scripts, and comprehensive ignores and docs. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant C as Client (Frontend/HTTP)
participant A as FastAPI App
participant D as DB Session
participant S as SQLite
Note over C,A: Notes CRUD (create/read/update/delete)
C->>A: HTTP request (e.g., POST /notes)
A->>D: Depends(get_db) open session
A->>S: SQL via SQLAlchemy (INSERT/SELECT/UPDATE/DELETE)
S-->>A: Result / row(s)
A-->>C: JSON response (Pydantic models)
A->>D: Close session (finally)
sequenceDiagram
autonumber
participant U as User
participant V as Vercel Router
participant F as Next.js Frontend
participant P as Python Backend (ASGI)
participant A as FastAPI
participant DB as SQLite
U->>V: HTTP request
alt Path starts with /api/
V->>P: Route to backend/app/main.py
P->>A: ASGI call
A->>DB: SQLAlchemy ORM ops
DB-->>A: Data
A-->>U: JSON response
else All other paths
V->>F: Serve Next.js page/assets
F-->>U: HTML/JS/CSS
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Poem
Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
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| app.add_middleware( | ||
| CORSMiddleware, | ||
| allow_origins=["*"], | ||
| allow_credentials=True, | ||
| allow_methods=["*"], |
There was a problem hiding this comment.
Initializing CORSMiddleware with allow_origins=["*"] while allow_credentials=True causes Starlette to raise ValueError at startup (“Cannot use allow_credentials True when allow_origins=['*']”). As written, the minimal API under api/ cannot even start, so any deployment that imports this module will crash before serving requests. Consider either listing specific origins or disabling credentials.
Useful? React with 👍 / 👎.
| app.add_middleware( | ||
| CORSMiddleware, | ||
| allow_origins=["http://localhost:3000", "https://*.vercel.app"], | ||
| allow_credentials=True, | ||
| allow_methods=["*"], | ||
| allow_headers=["*"], |
There was a problem hiding this comment.
The backend CORS setup lists "https://*.vercel.app" in allow_origins, but Starlette treats entries as literal strings, not glob patterns. As a result, an origin such as https://myapp.vercel.app will not match and browsers will reject cross‑origin requests, preventing the deployed Next.js frontend from calling the API. Use allow_origin_regex=r"https://.*\.vercel\.app" or enumerate allowed origins instead of a wildcard string.
Useful? React with 👍 / 👎.
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Actionable comments posted: 22
🧹 Nitpick comments (9)
frontend/app/notes/page.tsx (1)
31-36: Consider state management for future integration.The static placeholder is appropriate for scaffolding. When integrating with the backend API (
/api/notes), consider using React state (e.g.,useState,useEffect) or a data-fetching library to display actual notes.backend/app/models.py (1)
9-13: Consider longer varchar limits for book metadata.
String(255)may be restrictive forbook_titleandchapterfields. Some books have lengthy titles or chapter names that could exceed 255 characters.Consider these alternatives:
- Increase to
String(500)for better coverage- Use
Texttype if unbounded length is acceptable- title = Column(String(255), nullable=False, index=True) + title = Column(String(500), nullable=False, index=True) - book_title = Column(String(255), nullable=False) + book_title = Column(String(500), nullable=False) - chapter = Column(String(255), nullable=True) + chapter = Column(String(500), nullable=True)frontend/app/page.tsx (1)
3-30: LGTM with accessibility enhancement suggestion.The home page is well-structured with responsive design and proper Next.js routing. The gradient background and card layout create an appealing UI.
Consider adding ARIA labels for better accessibility:
- <Link href="/notes" className="bg-white p-6 rounded-lg shadow-md hover:shadow-lg transition-shadow"> + <Link + href="/notes" + className="bg-white p-6 rounded-lg shadow-md hover:shadow-lg transition-shadow" + aria-label="Navigate to Smart Notes section" + > <h3 className="text-lg font-semibold mb-2">📝 Smart Notes</h3> <p className="text-gray-600">Take AI-powered notes while reading</p> </Link> - <Link href="/bookmarks" className="bg-white p-6 rounded-lg shadow-md hover:shadow-lg transition-shadow"> + <Link + href="/bookmarks" + className="bg-white p-6 rounded-lg shadow-md hover:shadow-lg transition-shadow" + aria-label="Navigate to Bookmarks section" + >frontend/eslint.config.mjs (1)
12-25: LGTM with optional modernization suggestion.The ESLint configuration properly extends Next.js presets and ignores build artifacts. The use of FlatCompat provides backward compatibility with the Next.js preset format.
Based on learnings: Consider using the
globalIgnores()helper from ESLint 9 for clearer semantics:import { dirname } from "path"; import { fileURLToPath } from "url"; import { FlatCompat } from "@eslint/eslintrc"; +import { globalIgnores } from "eslint/config"; const __filename = fileURLToPath(import.meta.url); const __dirname = dirname(__filename); const compat = new FlatCompat({ baseDirectory: __dirname, }); const eslintConfig = [ ...compat.extends("next/core-web-vitals", "next/typescript"), { - ignores: [ + ignores: globalIgnores([ "node_modules/**", ".next/**", "out/**", "build/**", "next-env.d.ts", - ], + ]), }, ];Based on learnings
frontend/app/layout.tsx (1)
5-8: Consider adding viewport metadata for mobile optimization.The metadata is minimal but functional. For better mobile experience and responsive design, consider adding viewport configuration.
export const metadata: Metadata = { title: "AI Book Reader", description: "AI assisted book reader", + viewport: { + width: "device-width", + initialScale: 1, + }, };frontend/app/bookmarks/page.tsx (1)
1-45: Reminder: Implement form state and API integration.This page is presentational scaffolding without functionality. Before this can be used:
- Add state management for form inputs
- Implement form submission handler
- Connect to backend API endpoints
- Add input validation
- Implement bookmark list fetching and display
Do you want me to generate the state management and API integration code, or open a new issue to track this task?
backend/app/main.py (3)
45-47: Validate pagination parameters.Negative values for
skiporlimitcould cause unexpected behavior or database errors. Add validation to ensure sensible defaults and ranges.-def read_notes(skip: int = 0, limit: int = 100, db: Session = Depends(get_db)): +from fastapi import Query + +def read_notes( + skip: int = Query(0, ge=0), + limit: int = Query(100, ge=1, le=1000), + db: Session = Depends(get_db) +): notes = db.query(models.Note).offset(skip).limit(limit).all() return notes
89-91: Validate pagination parameters.Same validation issue as notes endpoint: add bounds checking for
skipandlimitparameters.-def read_bookmarks(skip: int = 0, limit: int = 100, db: Session = Depends(get_db)): +from fastapi import Query + +def read_bookmarks( + skip: int = Query(0, ge=0), + limit: int = Query(100, ge=1, le=1000), + db: Session = Depends(get_db) +): bookmarks = db.query(models.Bookmark).offset(skip).limit(limit).all() return bookmarks
79-108: Consider adding an update endpoint for consistency.The notes API includes a
PUT /notes/{note_id}update endpoint, but bookmarks only support create, read, and delete. If bookmarks should be immutable by design, this is fine. Otherwise, consider adding an update endpoint for API consistency.If bookmarks should be updatable, add:
@app.put("/bookmarks/{bookmark_id}", response_model=schemas.Bookmark) def update_bookmark( bookmark_id: int, bookmark: schemas.BookmarkUpdate, db: Session = Depends(get_db) ): db_bookmark = db.query(models.Bookmark).filter( models.Bookmark.id == bookmark_id ).first() if db_bookmark is None: raise HTTPException(status_code=404, detail="Bookmark not found") try: for key, value in bookmark.model_dump(exclude_unset=True).items(): setattr(db_bookmark, key, value) db.commit() db.refresh(db_bookmark) return db_bookmark except IntegrityError: db.rollback() raise HTTPException(status_code=400, detail="Database constraint violation")You'll also need to add
BookmarkUpdateschema toschemas.py.
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⛔ Files ignored due to path filters (7)
frontend/app/favicon.icois excluded by!**/*.icofrontend/package-lock.jsonis excluded by!**/package-lock.jsonfrontend/public/file.svgis excluded by!**/*.svgfrontend/public/globe.svgis excluded by!**/*.svgfrontend/public/next.svgis excluded by!**/*.svgfrontend/public/vercel.svgis excluded by!**/*.svgfrontend/public/window.svgis excluded by!**/*.svg
📒 Files selected for processing (25)
.gitignore(1 hunks)README.md(1 hunks)api/index.py(1 hunks)backend/__init__.py(1 hunks)backend/api/main.py(1 hunks)backend/app/__init__.py(1 hunks)backend/app/database.py(1 hunks)backend/app/main.py(1 hunks)backend/app/models.py(1 hunks)backend/app/schemas.py(1 hunks)backend/requirements.txt(1 hunks)frontend/.gitignore(1 hunks)frontend/README.md(1 hunks)frontend/app/bookmarks/page.tsx(1 hunks)frontend/app/globals.css(1 hunks)frontend/app/layout.tsx(1 hunks)frontend/app/notes/page.tsx(1 hunks)frontend/app/page.tsx(1 hunks)frontend/eslint.config.mjs(1 hunks)frontend/next.config.ts(1 hunks)frontend/package.json(1 hunks)frontend/postcss.config.mjs(1 hunks)frontend/tsconfig.json(1 hunks)start.sh(1 hunks)vercel.json(1 hunks)
🧰 Additional context used
🪛 OSV Scanner (2.2.2)
backend/requirements.txt
[HIGH] 1-1: fastapi 0.104.1: undefined
(PYSEC-2024-38)
[HIGH] 1-1: python-multipart 0.0.6: python-multipart vulnerable to Content-Type Header ReDoS
[HIGH] 1-1: python-multipart 0.0.6: Denial of service (DoS) via deformation multipart/form-data boundary
[HIGH] 1-1: starlette 0.27.0: Starlette has possible denial-of-service vector when parsing large files in multipart forms
[HIGH] 1-1: starlette 0.27.0: Starlette Denial of service (DoS) via multipart/form-data
🪛 Ruff (0.13.2)
backend/app/main.py
37-37: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
45-45: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
50-50: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
57-57: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
70-70: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
81-81: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
89-89: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
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94-94: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
101-101: Do not perform function call Depends in argument defaults; instead, perform the call within the function, or read the default from a module-level singleton variable
(B008)
🔇 Additional comments (19)
backend/__init__.py (1)
1-1: LGTM!Standard Python package initializer.
frontend/postcss.config.mjs (1)
1-6: LGTM!The PostCSS configuration correctly uses Tailwind CSS v4's new
@tailwindcss/postcssplugin, which aligns with the CSS-first configuration approach introduced in Tailwind v4.Based on learnings.
.gitignore (1)
1-44: LGTM!Comprehensive ignore patterns covering both backend (Python) and frontend (Node.js/Next.js) artifacts, along with standard IDE, OS, and build outputs.
frontend/.gitignore (1)
1-42: LGTM!Standard Next.js ignore patterns with appropriate coverage for Yarn PnP, build outputs, Vercel deployment metadata, and environment files.
backend/app/__init__.py (1)
1-1: LGTM!Standard Python package initializer.
README.md (1)
99-110: All documented API endpoints are implemented
Backend routes in backend/app/main.py cover the full CRUD surface for/notes(GET /, POST /, GET /{note_id}, PUT /{note_id}, DELETE /{note_id}) and the documented/bookmarksendpoints (GET /, POST /, GET /{bookmark_id}, DELETE /{bookmark_id}).frontend/package.json (1)
11-26: Dependencies look good.The dependency versions align with the latest stable releases and retrieved learnings (Next.js 15.5.4, React 19.1.0, Tailwind CSS v4, ESLint v9). The use of
--turbopackin scripts is correct for the opt-in Turbopack production builds introduced in Next.js 15.5.4.Based on learnings
frontend/next.config.ts (1)
1-7: LGTM!The Next.js configuration is correctly typed and follows the recommended pattern for Next.js 15. The empty config object is appropriate for initial scaffolding.
frontend/tsconfig.json (1)
1-27: LGTM!The TypeScript configuration follows Next.js best practices. The ES2017 target is conservative but ensures broad compatibility. The path alias
@/*and Next.js plugin are correctly configured.frontend/app/globals.css (1)
15-26: LGTM!The dark mode implementation using
prefers-color-schemeand CSS variables follows Tailwind CSS v4 best practices. The fallback font stack ensures text renders even if custom fonts fail to load.Based on learnings
backend/app/models.py (2)
5-16: LGTM with minor suggestions above.The Note model is well-structured with appropriate indexes on searchable fields (id, title) and proper timestamp handling. The nullable/non-nullable field choices align with the domain requirements.
17-27: LGTM!The Bookmark model is well-designed with:
- Appropriate indexes on commonly queried fields
- Sensible nullable/non-nullable constraints
- Boolean flag for favorites
frontend/app/layout.tsx (1)
10-41: LGTM!The layout implementation is solid with:
- Proper semantic HTML structure
- Accessible navigation with clear link text
- Consistent styling with Tailwind classes
- Responsive layout container
backend/app/database.py (1)
19-24: LGTM!The
get_dbgenerator properly implements the dependency injection pattern with proper cleanup viafinallyblock.backend/app/schemas.py (1)
5-30: LGTM!The Note schemas are well-designed with:
- Clear separation between base, create, update, and response models
- Proper optional field handling in NoteUpdate for partial updates
- ORM compatibility via
from_attributes = Truebackend/app/main.py (4)
1-7: LGTM!The imports are well-organized and appropriate for a FastAPI application with SQLAlchemy integration.
12-16: LGTM!Good practice to include comprehensive metadata for API documentation. The title, description, and version will be displayed in the auto-generated OpenAPI docs.
27-33: LGTM!Root and health check endpoints are correctly implemented. The health endpoint is particularly useful for monitoring and load balancer checks.
57-67: Replace deprecated.dict()with.model_dump()- for key, value in note.dict(exclude_unset=True).items(): + for key, value in note.model_dump(exclude_unset=True).items(): setattr(db_note, key, value)The
updated_atcolumn usesonupdate=func.now(), so timestamps are updated automatically.
| from fastapi import FastAPI | ||
| from fastapi.middleware.cors import CORSMiddleware | ||
|
|
||
| app = FastAPI( | ||
| title="AI Book Reader API", | ||
| description="API for managing notes and bookmarks in the AI Book Reader", | ||
| version="1.0.0" | ||
| ) |
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🛠️ Refactor suggestion | 🟠 Major
🧩 Analysis chain
Verify consistency with backend/app/main.py.
This file creates a separate FastAPI app instance, but the PR context indicates that backend/app/main.py contains the full CRUD API. Ensure these are not duplicate/conflicting app instances.
Run the following script to check for duplicate FastAPI app instances:
🏁 Script executed:
#!/bin/bash
# Description: Find all FastAPI app instance declarations
rg -n "app = FastAPI\(" --type=pyLength of output: 67
🏁 Script executed:
#!/bin/bash
sed -n '1,200p' api/index.py
echo "---"
sed -n '1,200p' backend/app/main.pyLength of output: 4384
Consolidate FastAPI app definition
Remove the duplicate app = FastAPI(...) in api/index.py and instead import or include the existing app (or its routers) from backend/app/main.py to avoid conflicting FastAPI instances.
🤖 Prompt for AI Agents
In api/index.py around lines 1 to 8 you are creating a second FastAPI instance
which conflicts with the existing app in backend/app/main.py; remove the
FastAPI(...) instantiation here and instead import the existing app (from
backend.app.main import app) or import and include the routers from
backend.app.main (from backend.app.main import router;
app.include_router(router)) so this module re-uses the main application rather
than creating a duplicate instance.
| app.add_middleware( | ||
| CORSMiddleware, | ||
| allow_origins=["*"], | ||
| allow_credentials=True, | ||
| allow_methods=["*"], | ||
| allow_headers=["*"], | ||
| ) |
There was a problem hiding this comment.
Critical security issue: Overly permissive CORS configuration.
The CORS configuration allows all origins (["*"]) with allow_credentials=True, which is a security vulnerability. This configuration:
- Exposes the API to CSRF attacks from any origin
- Violates the CORS specification (browsers reject
Access-Control-Allow-Origin: *when credentials are included) - Should be restricted to specific, trusted origins in production
Apply this diff to fix the security issue:
app.add_middleware(
CORSMiddleware,
- allow_origins=["*"],
+ allow_origins=[
+ "http://localhost:3000", # Local development
+ # Add production frontend URLs here
+ ],
allow_credentials=True,
- allow_methods=["*"],
- allow_headers=["*"],
+ allow_methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
+ allow_headers=["Content-Type", "Authorization"],
)📝 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.
| app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=["*"], | |
| allow_credentials=True, | |
| allow_methods=["*"], | |
| allow_headers=["*"], | |
| ) | |
| app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=[ | |
| "http://localhost:3000", # Local development | |
| # Add production frontend URLs here | |
| ], | |
| allow_credentials=True, | |
| allow_methods=["GET", "POST", "PUT", "DELETE", "PATCH"], | |
| allow_headers=["Content-Type", "Authorization"], | |
| ) |
🤖 Prompt for AI Agents
In api/index.py around lines 11 to 17 the CORS setup is overly permissive
(allow_origins=["*"] with allow_credentials=True). Replace the wildcard origin
with a restricted list of trusted origins loaded from configuration or an
environment variable (e.g., ALLOWED_ORIGINS or config.ALLOWED_ORIGINS), ensure
allow_credentials remains True only when specific origins are provided (never
use "*" with credentials), and if running in non-production allow a development
fallback (e.g., localhost origins) while enforcing strict origins in production;
update tests/config docs accordingly.
| from app.main import app | ||
|
|
||
| # This is the Vercel serverless function handler | ||
| def handler(request, response): | ||
| return app(request, response) No newline at end of file |
There was a problem hiding this comment.
Critical: Incorrect serverless handler implementation for FastAPI.
This handler implementation has two critical issues:
-
Incorrect ASGI invocation: FastAPI is an ASGI application and cannot be invoked directly as
app(request, response). ASGI apps require an ASGI server (like Uvicorn) or proper ASGI-to-HTTP adapter. -
Import path assumption: The relative import
from app.main import appassumes execution from thebackend/directory, but Vercel serverless functions execute from the project root, which will cause import failures.
For Vercel deployment of FastAPI, use the Mangum adapter which properly bridges ASGI to AWS Lambda/Vercel's handler signature:
-from app.main import app
+from mangum import Mangum
+from backend.app.main import app
-# This is the Vercel serverless function handler
-def handler(request, response):
- return app(request, response)
+# Vercel serverless function handler using Mangum adapter
+handler = Mangum(app, lifespan="off")Add mangum to backend/requirements.txt:
fastapi>=0.115.0
uvicorn[standard]>=0.32.0
sqlalchemy>=2.0.36
pydantic>=2.10.0
python-multipart>=0.0.17
httpx>=0.28.0
+mangum>=0.19.0Verify the Vercel configuration routes to this handler correctly:
#!/bin/bash
# Description: Check Vercel configuration for API routing
echo "=== Checking vercel.json for API routing configuration ==="
if [ -f "vercel.json" ]; then
cat vercel.json | jq '.routes, .rewrites, .builds' 2>/dev/null || cat vercel.json
else
echo "vercel.json not found"
fi🤖 Prompt for AI Agents
In backend/api/main.py lines 1-5, the handler incorrectly calls the FastAPI app
directly and uses a relative import that will fail from the project root;
replace this with the Mangum ASGI adapter and an absolute import: import the
FastAPI app using its package-absolute path (matching the project layout) and
create a Mangum adapter instance (e.g., handler = Mangum(app)) to expose as the
serverless entrypoint; also add mangum to backend/requirements.txt and verify
vercel.json routes/rewrites point to backend/api/main.py as the API entry so
Vercel invokes the correct handler.
| from sqlalchemy import create_engine | ||
| from sqlalchemy.ext.declarative import declarative_base | ||
| from sqlalchemy.orm import sessionmaker | ||
| import os |
There was a problem hiding this comment.
Remove unused import.
The os module is imported but never used.
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
-import os📝 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.
| import os | |
| from sqlalchemy import create_engine | |
| from sqlalchemy.ext.declarative import declarative_base | |
| from sqlalchemy.orm import sessionmaker |
🤖 Prompt for AI Agents
In backend/app/database.py around line 4, the os module is imported but never
used; remove the unused import line "import os" from the top of the file to
eliminate the unused dependency and any related linter warnings.
| # SQLite database URL | ||
| SQLALCHEMY_DATABASE_URL = "sqlite:///./ai_book_reader.db" | ||
|
|
||
| # Create SQLite engine | ||
| engine = create_engine( | ||
| SQLALCHEMY_DATABASE_URL, | ||
| connect_args={"check_same_thread": False} | ||
| ) |
There was a problem hiding this comment.
🛠️ Refactor suggestion | 🟠 Major
Make database URL configurable via environment variables.
The database URL is hardcoded, which prevents using different databases for development, testing, and production environments.
+import os
+
# SQLite database URL
-SQLALCHEMY_DATABASE_URL = "sqlite:///./ai_book_reader.db"
+SQLALCHEMY_DATABASE_URL = os.getenv(
+ "DATABASE_URL",
+ "sqlite:///./ai_book_reader.db"
+)
# Create SQLite engine
engine = create_engine(
- SQLALCHEMY_DATABASE_URL,
- connect_args={"check_same_thread": False}
+ SQLALCHEMY_DATABASE_URL,
+ connect_args={"check_same_thread": False} if SQLALCHEMY_DATABASE_URL.startswith("sqlite") else {}
)📝 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.
| # SQLite database URL | |
| SQLALCHEMY_DATABASE_URL = "sqlite:///./ai_book_reader.db" | |
| # Create SQLite engine | |
| engine = create_engine( | |
| SQLALCHEMY_DATABASE_URL, | |
| connect_args={"check_same_thread": False} | |
| ) | |
| import os | |
| # SQLite database URL | |
| SQLALCHEMY_DATABASE_URL = os.getenv( | |
| "DATABASE_URL", | |
| "sqlite:///./ai_book_reader.db" | |
| ) | |
| # Create SQLite engine | |
| engine = create_engine( | |
| SQLALCHEMY_DATABASE_URL, | |
| connect_args={"check_same_thread": False} if SQLALCHEMY_DATABASE_URL.startswith("sqlite") else {} | |
| ) |
🤖 Prompt for AI Agents
In backend/app/database.py around lines 6 to 13, the database URL is hardcoded;
update the file to read the database URL from an environment variable (e.g.,
DATABASE_URL) with the current sqlite value as a safe default, and use that
value when building the SQLAlchemy engine; ensure
connect_args={"check_same_thread": False} is only passed for SQLite (detect by
checking if the URL starts with "sqlite://") so other DBs (Postgres, MySQL) are
created without SQLite-specific args.
| - Node.js 20+ | ||
| - Python 3.12+ | ||
| - npm or yarn |
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🛠️ Refactor suggestion | 🟠 Major
🧩 Analysis chain
Verify Python version requirement.
The README specifies Python 3.12+ as a prerequisite. Ensure this matches the actual Python version used in development and any version constraints in the backend code or deployment configuration.
🏁 Script executed:
#!/bin/bash
# Description: Check for Python version specifications in backend config files
# Search for Python version specifications in backend files
rg -n "python_requires|python-version|python_version" backend/
# Check for Python version in vercel.json or other deployment configs
rg -n "python|runtime" vercel.json 2>/dev/null || echo "vercel.json not found in context"Length of output: 32
🏁 Script executed:
#!/bin/bash
# Locate and preview Python version declarations in project config files
# Find relevant config files in backend/
config_files=$(find backend -maxdepth 2 -type f \( -name 'pyproject.toml' -o -name 'Pipfile' -o -name 'setup.py' -o -name 'setup.cfg' \))
if [ -z "$config_files" ]; then
echo "No pyproject.toml, Pipfile, setup.py, or setup.cfg found in backend/"
else
for file in $config_files; do
echo "---- $file ----"
sed -n '1,200p' "$file"
done
fiLength of output: 68
Enforce or align the Python 3.12+ requirement
No Python version constraint is declared in your configs. Add a pythonVersion: "3.12" entry under the Python builder in vercel.json (or include a runtime.txt/CI setting) to enforce 3.12+, or adjust the README to reflect the actual supported version.
🤖 Prompt for AI Agents
In README.md around lines 51 to 53, the README claims "Python 3.12+" but no
project configs enforce that; add a pythonVersion: "3.12" entry under the Python
builder in vercel.json (or add runtime.txt with "python-3.12" or update CI
config) to enforce Python 3.12+, or alternatively update the README to reflect
the actual supported Python version if you cannot or do not want to require
3.12.
| #!/bin/bash | ||
| echo "Starting AI Book Reader application..." | ||
|
|
||
| # Start backend server | ||
| echo "Starting backend server on port 8000..." | ||
| cd backend && python3 -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 & | ||
| BACKEND_PID=$! |
There was a problem hiding this comment.
Add error handling and directory checks.
The script changes directories and starts background processes without verifying success or handling failures. If backend/ doesn't exist or uvicorn fails to start, the script continues silently, potentially leaving the user with a partially running app or orphaned processes.
Apply this diff to add basic error handling:
#!/bin/bash
+set -e # Exit on error
+
echo "Starting AI Book Reader application..."
# Start backend server
echo "Starting backend server on port 8000..."
+if [ ! -d "backend" ]; then
+ echo "Error: backend directory not found"
+ exit 1
+fi
cd backend && python3 -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 &
BACKEND_PID=$!
+if ! kill -0 $BACKEND_PID 2>/dev/null; then
+ echo "Error: Failed to start backend server"
+ exit 1
+fi🤖 Prompt for AI Agents
In start.sh around lines 1-7, the script cd's into backend and launches uvicorn
without checking that the directory exists, that cd succeeded, or that uvicorn
actually started; add checks to validate the backend/ directory exists before
cd, perform the cd with a failure branch that prints an error and exits
non‑zero, start uvicorn in the background but capture its PID and verify it is
running (e.g., short sleep then test with kill -0 $BACKEND_PID) and if the
server fails to start print the uvicorn stderr/stdout reference and exit
non‑zero, and add a trap to clean up background processes on script exit so
orphaned processes are not left running.
| # Wait a moment for backend to start | ||
| sleep 3 | ||
|
|
||
| # Start frontend server | ||
| echo "Starting frontend server on port 3000..." | ||
| cd ../frontend && npm run dev & | ||
| FRONTEND_PID=$! |
There was a problem hiding this comment.
Improve frontend startup reliability.
The script uses a fixed 3-second sleep and relative path navigation without verification. This can cause timing issues on slower systems and silent failures if frontend/ is missing or npm is unavailable.
Apply this diff to improve reliability:
# Wait a moment for backend to start
-sleep 3
+echo "Waiting for backend to be ready..."
+sleep 2
+timeout 10 bash -c 'until curl -s http://localhost:8000/health > /dev/null 2>&1; do sleep 1; done' || {
+ echo "Warning: Backend health check timed out"
+}
# Start frontend server
echo "Starting frontend server on port 3000..."
+if [ ! -d "../frontend" ]; then
+ echo "Error: frontend directory not found"
+ kill $BACKEND_PID
+ exit 1
+fi
+if ! command -v npm &> /dev/null; then
+ echo "Error: npm not found"
+ kill $BACKEND_PID
+ exit 1
+fi
cd ../frontend && npm run dev &
FRONTEND_PID=$!Note: This assumes the backend exposes a /health endpoint (confirm in backend/app/main.py).
📝 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.
| # Wait a moment for backend to start | |
| sleep 3 | |
| # Start frontend server | |
| echo "Starting frontend server on port 3000..." | |
| cd ../frontend && npm run dev & | |
| FRONTEND_PID=$! | |
| # Wait a moment for backend to start | |
| echo "Waiting for backend to be ready..." | |
| sleep 2 | |
| timeout 10 bash -c 'until curl -s http://localhost:8000/health > /dev/null 2>&1; do sleep 1; done' || { | |
| echo "Warning: Backend health check timed out" | |
| } | |
| # Start frontend server | |
| echo "Starting frontend server on port 3000..." | |
| if [ ! -d "../frontend" ]; then | |
| echo "Error: frontend directory not found" | |
| kill $BACKEND_PID | |
| exit 1 | |
| fi | |
| if ! command -v npm &> /dev/null; then | |
| echo "Error: npm not found" | |
| kill $BACKEND_PID | |
| exit 1 | |
| fi | |
| cd ../frontend && npm run dev & | |
| FRONTEND_PID=$! |
🤖 Prompt for AI Agents
In start.sh around lines 9 to 15, replace the fixed sleep and blind cd with
robust checks: poll the backend's /health endpoint in a short loop (with timeout
and interval) instead of sleeping 3s to ensure the backend is ready; before
starting the frontend, verify the frontend directory exists and is accessible
(fail fast with a clear message if missing); check that npm is on PATH and
executable (error if not); then cd to the frontend directory using a resolved
path and start npm run dev in background, capturing its PID as before. Ensure
sensible timeouts, retries, and clear error messages for each failure case.
| echo "✅ Application started!" | ||
| echo "📍 Frontend: http://localhost:3000" | ||
| echo "📍 Backend API: http://localhost:8000" | ||
| echo "📍 API Documentation: http://localhost:8000/docs" | ||
| echo "" | ||
| echo "Press Ctrl+C to stop both servers" | ||
|
|
||
| # Wait for user to stop | ||
| wait $FRONTEND_PID $BACKEND_PID No newline at end of file |
There was a problem hiding this comment.
Add signal trap for clean shutdown.
The script waits for both processes but doesn't handle signals (Ctrl+C) gracefully. When the user presses Ctrl+C, the parent script exits but the background uvicorn and npm processes may continue running as orphans.
Apply this diff to add a cleanup trap:
+# Cleanup function
+cleanup() {
+ echo ""
+ echo "Shutting down servers..."
+ kill $BACKEND_PID $FRONTEND_PID 2>/dev/null
+ wait $BACKEND_PID $FRONTEND_PID 2>/dev/null
+ echo "✅ Servers stopped"
+ exit 0
+}
+
+trap cleanup SIGINT SIGTERM
+
echo "✅ Application started!"
echo "📍 Frontend: http://localhost:3000"
echo "📍 Backend API: http://localhost:8000"
echo "📍 API Documentation: http://localhost:8000/docs"
echo ""
echo "Press Ctrl+C to stop both servers"
# Wait for user to stop
wait $FRONTEND_PID $BACKEND_PID📝 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.
| echo "✅ Application started!" | |
| echo "📍 Frontend: http://localhost:3000" | |
| echo "📍 Backend API: http://localhost:8000" | |
| echo "📍 API Documentation: http://localhost:8000/docs" | |
| echo "" | |
| echo "Press Ctrl+C to stop both servers" | |
| # Wait for user to stop | |
| wait $FRONTEND_PID $BACKEND_PID | |
| # Cleanup function | |
| cleanup() { | |
| echo "" | |
| echo "Shutting down servers..." | |
| kill $BACKEND_PID $FRONTEND_PID 2>/dev/null | |
| wait $BACKEND_PID $FRONTEND_PID 2>/dev/null | |
| echo "✅ Servers stopped" | |
| exit 0 | |
| } | |
| trap cleanup SIGINT SIGTERM | |
| echo "✅ Application started!" | |
| echo "📍 Frontend: http://localhost:3000" | |
| echo "📍 Backend API: http://localhost:8000" | |
| echo "📍 API Documentation: http://localhost:8000/docs" | |
| echo "" | |
| echo "Press Ctrl+C to stop both servers" | |
| # Wait for user to stop | |
| wait $FRONTEND_PID $BACKEND_PID |
🤖 Prompt for AI Agents
In start.sh around lines 17 to 25, the script currently waits on FRONTEND_PID
and BACKEND_PID but does not trap signals, so Ctrl+C can leave background
processes running; add a trap for SIGINT and SIGTERM that kills the frontend and
backend PIDs (if set), waits for them to exit, and then exits the script with
the trapped signal status; ensure the trap handler ignores errors for
already-exited processes and that the main script registers the trap before
starting/waiting on the background processes so cleanup runs reliably.
| "src": "backend/app/main.py", | ||
| "use": "@vercel/python" | ||
| } | ||
| ], | ||
| "routes": [ | ||
| { | ||
| "src": "/api/(.*)", | ||
| "dest": "backend/app/main.py" |
There was a problem hiding this comment.
🧩 Analysis chain
Verify Python serverless entrypoint path.
The build and route configuration points to backend/app/main.py, but Vercel's Python runtime typically expects a handler in a path like backend/api/index.py or api/index.py. The AI summary mentions that backend/api/main.py acts as a wrapper forwarding requests to the FastAPI app in backend/app/main.py.
If backend/api/main.py exists and is the actual serverless handler, update the configuration to point to it. Otherwise, confirm that backend/app/main.py exports a Vercel-compatible handler (usually named app or handler).
Run this script to check the serverless entrypoint structure:
If backend/api/main.py is the wrapper, apply this diff:
{
- "src": "backend/app/main.py",
+ "src": "backend/api/main.py",
"use": "@vercel/python"
}
],
"routes": [
{
"src": "/api/(.*)",
- "dest": "backend/app/main.py"
+ "dest": "backend/api/main.py"
},🏁 Script executed:
#!/bin/bash
# Description: Verify Python serverless entrypoint and handler export
# Check if backend/api/main.py exists (typical Vercel wrapper)
if [ -f "backend/api/main.py" ]; then
echo "✓ backend/api/main.py exists"
echo "Contents:"
cat backend/api/main.py
else
echo "✗ backend/api/main.py not found"
fi
echo ""
echo "Checking backend/app/main.py for handler export:"
rg -n "^(app|handler)\s*=" backend/app/main.py || echo "No handler export found"Length of output: 246
Use the Vercel handler wrapper in vercel.json
Your serverless function’s handler is defined in backend/api/main.py, so both src and dest must point there:
{
- "src": "backend/app/main.py",
+ "src": "backend/api/main.py",
"use": "@vercel/python"
}
],
"routes": [
{
"src": "/api/(.*)",
- "dest": "backend/app/main.py"
+ "dest": "backend/api/main.py"
},📝 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.
| "src": "backend/app/main.py", | |
| "use": "@vercel/python" | |
| } | |
| ], | |
| "routes": [ | |
| { | |
| "src": "/api/(.*)", | |
| "dest": "backend/app/main.py" | |
| { | |
| "src": "backend/api/main.py", | |
| "use": "@vercel/python" | |
| } | |
| ], | |
| "routes": [ | |
| { | |
| "src": "/api/(.*)", | |
| "dest": "backend/api/main.py" | |
| }, |
🤖 Prompt for AI Agents
In vercel.json around lines 9 to 16, the current function entry points reference
backend/app/main.py but your handler lives at backend/api/main.py; update both
the build definition ("src") and the routes mapping ("dest") to
backend/api/main.py so the Vercel Python handler wrapper points to the correct
file.
This PR implements the complete application scaffolding for the AI Book Reader project, providing a full-stack foundation with modern React frontend and Python backend.
What's Implemented
Frontend (Next.js 15 + React 19)
Backend (FastAPI + SQLite)
Database Schema
API Endpoints
GET/POST /notes/- Notes CRUD operationsGET/POST /bookmarks/- Bookmarks CRUD operationsGET /- API health checkGET /docs- Interactive API documentationDeveloper Experience
Quick Start
Manual Setup
Deployment Ready
The project includes
vercel.jsonconfiguration for seamless deployment of both frontend and backend as serverless functions on Vercel.Screenshots
Homepage with feature overview:
Notes management interface:
The application provides a solid foundation for the AI Book Reader with beautiful UI, robust backend architecture, and comprehensive documentation for future development.
Fixes #1
Warning
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I tried to connect to the following addresses, but was blocked by firewall rules:
fonts.googleapis.comIf you need me to access, download, or install something from one of these locations, you can either:
Original prompt
✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.
Summary by CodeRabbit