Jupyter Notebook

Einbau Rating¶

Erweitern Sie das imdb-Rating iin der Datenbank moviesDB mit den Anzahl votes (Stimmen). Erweitern Sie das JSON-Dokument mit dem Tomatometer (tomatoes), welches - Benutzer (viewer) mit Rating (Decimal) und Anzahl Stimmen (Integer) beinhaltet - Kritiker (critics) mit Rating (Decimal) und Anzahl Stimmen (Integer) beinhaltet - Ein "frische"-Rating (fresh) beinhaltet (ganze Zahl) - Ein "verrottet"-Rating (rotten) beinhaltet (ganze Zahl)

In [15]:

import pymongo

myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["moviesDB"]
mycol = mydb["movies"]

movielist = [{
  "id": 14253,
  "title": "Beauty and the Beast",
  "year": 2016,
  "language": "English",
  "imdb_rating": {
    "rating": 7.1,
    "votes" : 341312
  },
  "tomatoes": {
    "viewer": {
      "rating": 3.9,
      "votes": 238
    },
    "criticer": {
      "rating": 4.2,
      "votes": 238
    },
    "fresh": 9,
    "rotten": 2

  },
  "genre": "Romance",
  "director": "Christophe Gans",
  "runtime": 112
}]

movies = mycol.insert_many(movielist)

import pymongo myclient = pymongo.MongoClient("mongodb://localhost:27017/") mydb = myclient["moviesDB"] mycol = mydb["movies"] movielist = [{ "id": 14253, "title": "Beauty and the Beast", "year": 2016, "language": "English", "imdb_rating": { "rating": 7.1, "votes" : 341312 }, "tomatoes": { "viewer": { "rating": 3.9, "votes": 238 }, "criticer": { "rating": 4.2, "votes": 238 }, "fresh": 9, "rotten": 2 }, "genre": "Romance", "director": "Christophe Gans", "runtime": 112 }] movies = mycol.insert_many(movielist)

Check if insert method succeeded¶

Ausgabe der kompletten Documente mit der find methode in einer einfachen Schleife

In [16]:

print(movies.inserted_ids)

print(movies.inserted_ids)

[ObjectId('67581c3fedd26fb5227e4233')]

Check if DB exits¶

In [17]:

# Liste aller existierenden Datenbanken abrufen
dblist = myclient.list_database_names()

# Überprüfen, ob die Datenbank existiert
if "moviesDB" in dblist:
    print("Datenbank existiert.")
else:
    print("Datenbank existiert nicht.")

# Liste aller existierenden Datenbanken abrufen dblist = myclient.list_database_names() # Überprüfen, ob die Datenbank existiert if "moviesDB" in dblist: print("Datenbank existiert.") else: print("Datenbank existiert nicht.")

Datenbank existiert.

Check if DB exits¶

In [18]:

# Liste aller Sammlungen in der Datenbank abrufen
collist = mydb.list_collection_names()

# Überprüfen, ob die Sammlung existiert
if "movies" in collist:
    print("Sammlung existiert.")
else:
    print("Sammlung existiert nicht.")

# Liste aller Sammlungen in der Datenbank abrufen collist = mydb.list_collection_names() # Überprüfen, ob die Sammlung existiert if "movies" in collist: print("Sammlung existiert.") else: print("Sammlung existiert nicht.")

Sammlung existiert.

Create a Collection¶

In [19]:

# Erstellung der Sammlung "good"
mydb.create_collection("good")# python code

# Erstellung der Sammlung "good" mydb.create_collection("good")# python code

Out[19]:

Collection(Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'moviesDB'), 'good')

Check if collection exits¶

In [20]:

# Check if the 'good' collection exists in the database
if "good" in mydb.list_collection_names():
    print("Collection 'good' exists.")
else:
    print("Collection 'good' does not exist.")

# Check if the 'good' collection exists in the database if "good" in mydb.list_collection_names(): print("Collection 'good' exists.") else: print("Collection 'good' does not exist.")

Collection 'good' exists.

Insert Into Collection¶

In [21]:

# Inserting a single document into the 'good' collection
movie = {
    "title": "Inception",
    "year": 2010,
    "genre": "Science Fiction",
    "director": "Christopher Nolan",
    "imdb_rating": {
        "rating": 8.8,
        "votes": 1600000
    }
}

# Insert the document
result = mycol.insert_one(movie)

# Inserting a single document into the 'good' collection movie = { "title": "Inception", "year": 2010, "genre": "Science Fiction", "director": "Christopher Nolan", "imdb_rating": { "rating": 8.8, "votes": 1600000 } } # Insert the document result = mycol.insert_one(movie)

Check if insert method succeeded¶

In [22]:

print(movies.inserted_ids)

for movies in mycol.find():
  print(movies)

print(movies.inserted_ids) for movies in mycol.find(): print(movies)

[ObjectId('67581c3fedd26fb5227e4233')]
{'_id': ObjectId('67581c36edd26fb5227e422f'), 'id': 14253, 'title': 'Beauty and the Beast', 'year': 2016, 'language': 'English', 'imdb_rating': {'rating': 7.1, 'votes': 341312}, 'tomatoes': {'viewer': {'rating': 3.9, 'votes': 238}, 'criticer': {'rating': 4.2, 'votes': 238}, 'fresh': 9, 'rotten': 2}, 'genre': 'Romance', 'director': 'Christophe Gans', 'runtime': 112}
{'_id': ObjectId('67581c3eedd26fb5227e4231'), 'id': 14253, 'title': 'Beauty and the Beast', 'year': 2016, 'language': 'English', 'imdb_rating': {'rating': 7.1, 'votes': 341312}, 'tomatoes': {'viewer': {'rating': 3.9, 'votes': 238}, 'criticer': {'rating': 4.2, 'votes': 238}, 'fresh': 9, 'rotten': 2}, 'genre': 'Romance', 'director': 'Christophe Gans', 'runtime': 112}
{'_id': ObjectId('67581c3fedd26fb5227e4233'), 'id': 14253, 'title': 'Beauty and the Beast', 'year': 2016, 'language': 'English', 'imdb_rating': {'rating': 7.1, 'votes': 341312}, 'tomatoes': {'viewer': {'rating': 3.9, 'votes': 238}, 'criticer': {'rating': 4.2, 'votes': 238}, 'fresh': 9, 'rotten': 2}, 'genre': 'Romance', 'director': 'Christophe Gans', 'runtime': 112}
{'_id': ObjectId('67581c4cedd26fb5227e4234'), 'title': 'Inception', 'year': 2010, 'genre': 'Science Fiction', 'director': 'Christopher Nolan', 'imdb_rating': {'rating': 8.8, 'votes': 1600000}}

Insert another collection¶

In [23]:

mydb.create_collection("collection")

mydb.create_collection("collection")

Out[23]:

Collection(Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'moviesDB'), 'collection')

Check if insert method suceeded¶

In [24]:

if "collection" in mydb.list_collection_names():
    print("Collection exists.")
else:
    print("Collection does not exist.")

if "collection" in mydb.list_collection_names(): print("Collection exists.") else: print("Collection does not exist.")

Collection exists.

Delete Collections¶

In [25]:

mycol.drop()

mycol.drop()

In [ ]:

## Um gezielte Kollektion zu löschen:
mycol = mydb["collection"]
mycol.drop()

## Um gezielte Kollektion zu löschen: mycol = mydb["collection"] mycol.drop()

Delete Database¶

In [26]:

myclient.drop_database("moviesDB")

myclient.drop_database("moviesDB")