# conda activate webservicep2plending webservicep2plending # uvicorn main:app --reload from typing import Union from fastapi import FastAPI,Response,Request,HTTPException from fastapi.middleware.cors import CORSMiddleware import sqlite3 app = FastAPI() app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/mahasiswa/{nim}") def ambil_mhs(nim:str): return {"nama": "Budi Martami"} @app.get("/mahasiswa2/") def ambil_mhs2(nim:str): return {"nama": "Budi Martami 2"} @app.get("/daftar_mhs/") def daftar_mhs(id_prov:str,angkatan:str): return {"query":" idprov: {} ; angkatan: {} ".format(id_prov,angkatan),"data":[{"nim":"1234"},{"nim":"1235"}]} # panggil sekali saja @app.get("/init/") def init_db(): try: DB_NAME = "upi.db" con = sqlite3.connect(DB_NAME) cur = con.cursor() create_table = """ CREATE TABLE mahasiswa( ID INTEGER PRIMARY KEY AUTOINCREMENT, nim TEXT NOT NULL, nama TEXT NOT NULL, id_prov TEXT NOT NULL, angkatan TEXT NOT NULL, tinggi_badan INTEGER ) """ cur.execute(create_table) con.commit except: return ({"status":"terjadi error"}) finally: con.close() return ({"status":"ok, db dan tabel berhasil dicreate"}) from pydantic import BaseModel from typing import Optional class Mhs(BaseModel): nim: str nama: str id_prov: str angkatan: str tinggi_badan: Optional[int] | None = None # yang boleh null hanya ini #status code 201 standard return creation #return objek yang baru dicreate (response_model tipenya Mhs) @app.post("/tambah_mhs/", response_model=Mhs,status_code=201) def tambah_mhs(m: Mhs,response: Response, request: Request): try: DB_NAME = "upi.db" con = sqlite3.connect(DB_NAME) cur = con.cursor() # hanya untuk test, rawal sql injecttion, gunakan spt SQLAlchemy cur.execute("""insert into mahasiswa (nim,nama,id_prov,angkatan,tinggi_badan) values ( "{}","{}","{}","{}",{})""".format(m.nim,m.nama,m.id_prov,m.angkatan,m.tinggi_badan)) con.commit() except: print("oioi error") return ({"status":"terjadi error"}) finally: con.close() response.headers["Location"] = "/mahasiswa/{}".format(m.nim) print(m.nim) print(m.nama) print(m.angkatan) return m @app.get("/tampilkan_semua_mhs/") def tampil_semua_mhs(): try: DB_NAME = "upi.db" con = sqlite3.connect(DB_NAME) cur = con.cursor() recs = [] for row in cur.execute("select * from mahasiswa"): recs.append(row) except: return ({"status":"terjadi error"}) finally: con.close() return {"data":recs} from fastapi.encoders import jsonable_encoder @app.put("/update_mhs_put/{nim}",response_model=Mhs) def update_mhs_put(response: Response,nim: str, m: Mhs ): #update keseluruhan #karena key, nim tidak diupdape try: DB_NAME = "upi.db" con = sqlite3.connect(DB_NAME) cur = con.cursor() cur.execute("select * from mahasiswa where nim = ?", (nim,) ) #tambah koma untuk menandakan tupple existing_item = cur.fetchone() except Exception as e: raise HTTPException(status_code=500, detail="Terjadi exception: {}".format(str(e))) if existing_item: #data ada print(m.tinggi_badan) cur.execute("update mahasiswa set nama = ?, id_prov = ?, angkatan=?, tinggi_badan=? where nim=?", (m.nama,m.id_prov,m.angkatan,m.tinggi_badan,nim)) con.commit() response.headers["location"] = "/mahasiswa/{}".format(m.nim) else: # data tidak ada print("item not foud") raise HTTPException(status_code=404, detail="Item Not Found") con.close() return m # khusus untuk patch, jadi boleh tidak ada # menggunakan "kosong" dan -9999 supaya bisa membedakan apakah tdk diupdate ("kosong") atau mau # diupdate dengan dengan None atau 0 class MhsPatch(BaseModel): nama: str | None = "kosong" id_prov: str | None = "kosong" angkatan: str | None = "kosong" tinggi_badan: Optional[int] | None = -9999 # yang boleh null hanya ini @app.patch("/update_mhs_patch/{nim}",response_model = MhsPatch) def update_mhs_patch(response: Response, nim: str, m: MhsPatch ): try: print(str(m)) DB_NAME = "upi.db" con = sqlite3.connect(DB_NAME) cur = con.cursor() cur.execute("select * from mahasiswa where nim = ?", (nim,) ) #tambah koma untuk menandakan tupple existing_item = cur.fetchone() except Exception as e: raise HTTPException(status_code=500, detail="Terjadi exception: {}".format(str(e))) # misal database down if existing_item: #data ada, lakukan update sqlstr = "update mahasiswa set " #asumsi minimal ada satu field update # todo: bisa direfaktor dan dirapikan if m.nama!="kosong": if m.nama!=None: sqlstr = sqlstr + " nama = '{}' ,".format(m.nama) else: sqlstr = sqlstr + " nama = null ," if m.angkatan!="kosong": if m.angkatan!=None: sqlstr = sqlstr + " angkatan = '{}' ,".format(m.angkatan) else: sqlstr = sqlstr + " angkatan = null ," if m.id_prov!="kosong": if m.id_prov!=None: sqlstr = sqlstr + " id_prov = '{}' ,".format(m.id_prov) else: sqlstr = sqlstr + " id_prov = null, " if m.tinggi_badan!=-9999: if m.tinggi_badan!=None: sqlstr = sqlstr + " tinggi_badan = {} ,".format(m.tinggi_badan) else: sqlstr = sqlstr + " tinggi_badan = null ," sqlstr = sqlstr[:-1] + " where nim='{}' ".format(nim) #buang koma yang trakhir print(sqlstr) try: cur.execute(sqlstr) con.commit() response.headers["location"] = "/mahasixswa/{}".format(nim) except Exception as e: raise HTTPException(status_code=500, detail="Terjadi exception: {}".format(str(e))) else: # data tidak ada 404, item not found raise HTTPException(status_code=404, detail="Item Not Found") con.close() return m @app.delete("/delete_mhs/{nim}") def delete_mhs(nim: str): try: DB_NAME = "upi.db" con = sqlite3.connect(DB_NAME) cur = con.cursor() sqlstr = "delete from mahasiswa where nim='{}'".format(nim) print(sqlstr) # debug cur.execute(sqlstr) con.commit() except: return ({"status":"terjadi error"}) finally: con.close() return {"status":"ok"}
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |