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config.json
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config.json
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{
"console": {
"folders": [],
"files": {
"main.py": [
"print('Hello, World!')"
]
},
"lib": [],
"module": "main",
"args": []
},
"api": {
"folders": [
"api"
],
"files": {
".env": [
"SECRET_KEY='secret_key'",
"API_VERSION=1.0.0",
"DEBUG=false"
],
"main.py": [
"from fastapi import FastAPI",
"",
"",
"app = FastAPI()",
"",
"",
"@app.get('/')",
"def root():",
" pass"
],
"reset.py": [
"from faker import Faker",
"from sqlalchemy import create_engine",
"from sqlalchemy.orm import sessionmaker",
"",
"# Insert code to generate dummy data here"
],
"api/config.py": [
"from pydantic import BaseSettings",
"",
"",
"class Settings(BaseSettings):",
" secret_key: str",
" api_version: str",
" debug: bool",
"",
" class Config:",
" env_file = '.env'"
],
"api/crud.py": [
"from sqlalchemy.orm import Session",
"",
"",
"# Define CRUD operations here"
],
"api/database.py": [
"from sqlalchemy import create_engine",
"from sqlalchemy.ext.declarative import declarative_base",
"from sqlalchemy.orm import sessionmaker",
"",
"from .config import Settings",
"",
"",
"settings = Settings()",
"engine = create_engine(",
" url=DB_URL,",
" connect_args={'check_same_thread': False},",
" echo=settings.debug,",
")",
"",
"SessionLocal = sessionmaker(",
" bind=engine,",
" autocommit=False,",
" autoflush=False",
")",
"",
"Base = declarative_base()"
],
"api/deps.py": [
"from functools import lru_cache",
"",
"from .config import Settings",
"from .database import SessionLocal",
"",
"",
"def get_db():",
" session = SessionLocal()",
" try:",
" yield session",
" finally:",
" session.close()",
"",
"",
"@lru_cache",
"def get_settings():",
" return Settings()"
],
"api/models.py": [
"from sqlalchemy import Column, ForeignKey, Integer, String",
"from sqlalchemy.orm import relationship",
"",
"from .database import Base",
"",
"",
"# Define DB models here"
],
"api/schemas.py": [
"from pydantic import BaseModel",
"",
"",
"# Define Pydantic schemas here"
],
"api/__init__.py": []
},
"lib": [
"fastapi",
"uvicorn",
"httpie",
"pydantic",
"python-dotenv",
"sqlalchemy",
"faker",
"pyjwt"
],
"module": "uvicorn",
"args": [
"main:app",
"--reload"
]
},
"db": {
"folders": [],
"files": {
"main.py": [
"from sqlalchemy import create_engine",
"from sqlalchemy.orm import sessionmaker",
"",
"",
"DB_URL = 'sqlite:///database.db'",
"engine = create_engine(url=DB_URL)",
"Session = sessionmaker(bind=engine)"
],
"models.py": [
"from sqlalchemy import Column, Integer, ForeignKey, Unicode",
"from sqlalchemy.ext.declarative import declarative_base",
"from sqlalchemy.orm import relationship",
"",
"",
"Base = declarative_base()",
"",
"Base.metadata.create_all()"
]
},
"lib": [
"sqlalchemy",
"faker"
],
"module": "main",
"args": []
},
"http": {
"folders": [],
"files": {
"main.py": [
"import requests",
"from bs4 import BeautifulSoup",
"",
"",
"# Make some requests here..."
]
},
"lib": [
"requests",
"beautifulsoup4"
],
"module": "main",
"args": []
},
"jupyter": {
"folders": [],
"files": {
"dataprep.ipynb": [
"{",
" \"cells\": [",
" {",
" \"cell_type\": \"code\",",
" \"execution_count\": null,",
" \"metadata\": {},",
" \"outputs\": [],",
" \"source\": []",
" }",
" ],",
" \"metadata\": {},",
" \"nbformat\": 4,",
" \"nbformat_minor\": 1",
"}"
],
"analysis.ipynb": [
"{",
" \"cells\": [",
" {",
" \"cell_type\": \"code\",",
" \"execution_count\": null,",
" \"metadata\": {},",
" \"outputs\": [],",
" \"source\": []",
" }",
" ],",
" \"metadata\": {},",
" \"nbformat\": 4,",
" \"nbformat_minor\": 1",
"}"
]
},
"lib": [
"jupyter",
"jupyterlab",
"numpy",
"pandas",
"matplotlib",
"faker",
"arrow"
],
"module": "jupyter",
"args": [
"notebook",
"analysis.ipynb"
]
}
}