Commit 1

database/data_coach.csv

@@ -1,5 +1,5 @@
-Coach_Id,Name,Experience
-1,df,20
-2,vb,3
-3,ui,56
-4,qw,7
+id,Name,Experience
+1,Gani,20
+2,Tadi,3
+3,Uper,56
+4,Shub,7

database/data_comp.csv

@@ -1,6 +1,6 @@
-Competition_Id,Name,Date,Duration
-1,ew,12.03.2020,23
-2,op,04.02.2020,12
-3,as,03.01.2020,4
-4,bn,27.01.2020,5
-5,we,23.03.2020,89
+id,Name,Date,Duration
+1,Comp1,20200312,23
+2,Comp12,20200204,12
+3,Comp13,20200103,4
+4Comp69,20200127,5
+5,Comp141,20200327,89

database/data_fan.csv

@@ -1,10 +1,10 @@
-Fan_Id,Name,Club,Sportsman_Id
-2,Bob,Mom,3
-3,Mary,MNB,4
-4,Tom,Mom,1
-5,Max,TRY,2
-6,Jim,Mom,3
-7,Lola,Mom,3
-8,Tim,WEW,4
-9,Sima,Mom,1
-10,Roz,Mom,1
+id,Name,Club,Sportsman_id
+2,Bob,Mom,3
+3,Mary,MNB,4
+4,Tom,Mom,1
+5,Max,TRY,2
+6,Jim,Mom,3
+7,Lola,Mom,3
+8,Tim,WEW,4
+9,Sima,Mom,1
+10,Roz,Mom,1

database/data_m_competition.csv

@@ -1,5 +1,5 @@
-id_sportsman,id_competition
-1,3
-2,3
-3,2
-4,3
+Sportsman_id,Competition_id
+1,3
+2,3
+3,2
+4,3

database/data_m_prize.csv

@@ -0,0 +1,8 @@
+Sportsman_id,Prize_id
+1,1
+2,3
+3,3
+4,1
+1,2
+2,2
+3,4

database/data_m_training.csv

@@ -1,5 +1,8 @@
-id_sportsman,id_traning
-1,5
-2,3
-3,3
-4,1
+Sportsman_id,Training_id
+1,5
+2,3
+3,3
+4,1
+1,6
+2,6
+3,6

database/data_prize.csv

@@ -1,5 +1,5 @@
-Prize_Id,Name,Title
-1,df,er
-2,as,er
-3,qw,yu
-4,gh,yu
+id,Name,Title
+1,dick&butter,champ
+2,cake,looser
+3,sweet,like_a_dog
+4,bone,goodboy

database/data_sportsman.csv

@@ -1,5 +1,5 @@
-Sportsman_Id,Name,Sport_Name,Coach_Id
-1,cv,df,4
-2,bn,df,3
-3,qw,gh,3
-4,zx,ui,1
+id,Name,Sport_Name,Coach_id
+1,Jesha,football,4
+2,Izya,football,3
+3,Jakob,rustling,3
+4,Bruno,chess,1

database/data_traning.csv

@@ -1,5 +1,6 @@
-Training_Id,Target,Date
-2,yt,12.12.2019
-3,er,14.02.2020
-4,sd,25.02.2020
-5,vb,24.12.2010
+id,Target,Date
+2,faster,20191212
+3,stronger,20200214
+4,better,20200225
+5,nothing,20101224
+6,stronger,20200215

database/main.py

@@ -2,63 +2,61 @@
 import pandas
 import sqlite3
 
-DATABASE = 'base.db'
-
-database = sqlite3.connect(DATABASE)
 
+database = SqliteDatabase(
+    'db_name'
+)
 
 class BaseModel(Model):
     class Meta:
         database = database
 
 
 class Training(BaseModel):
-    Training_Id = IntegerField(primary_key=True)
     Target = CharField()
-    Date = DateTimeField()
+    Date = IntegerField()
 
 
 class Competition(BaseModel):
-    Competition_Id = IntegerField(primary_key=True)
     Name = CharField()
-    Date = DateTimeField()
+    Date = IntegerField()
     Duration = IntegerField()
 
 
 class Coach(BaseModel):
-    Coach_Id = IntegerField(primary_key=True)
     Name = CharField()
     Experience = IntegerField()
 
 
 class Prize(BaseModel):
-    Prize_Id = IntegerField(primary_key=True)
     Name = CharField()
     Title = CharField()
 
 
 class Sportsman(BaseModel):
-    Sportsman_Id = IntegerField(primary_key=True)
     Name = CharField()
     Sport_Name = CharField()
-    Coach_Id = ForeignKeyField(Coach)
+    Coach_id = ForeignKeyField(Coach)
 
 
 class Fan(BaseModel):
-    Fan_Id = IntegerField(primary_key=True)
     Name = CharField()
     Club = CharField()
-    Sportsman_Id = ForeignKeyField(Sportsman)
+    Sportsman_id = ForeignKeyField(Sportsman)
 
 
 class M_Competition(BaseModel):
-    id_sportsman = ForeignKeyField(Sportsman)
-    id_competition = ForeignKeyField(Competition)
+    Sportsman_id = ForeignKeyField(Sportsman)
+    Competition_id = ForeignKeyField(Competition)
 
 
-class M_Traning(BaseModel):
-    id_sportsman = ForeignKeyField(Sportsman)
-    id_traning = ForeignKeyField(Training)
+class M_Training(BaseModel):
+    Sportsman_id = ForeignKeyField(Sportsman)
+    Training_id = ForeignKeyField(Training)
+
+class M_Prize(BaseModel):
+    Sportsman_id = ForeignKeyField(Sportsman)
+    Prize_id = ForeignKeyField(Prize)
 
 
 csv_path_fan = 'data_fan.csv'
@@ -69,11 +67,24 @@ class M_Traning(BaseModel):
 csv_path_prize = 'data_prize.csv'
 csv_path_sportsman = 'data_sportsman.csv'
 csv_path_traning = 'data_traning.csv'
+csv_path_m_prize = 'data_m_prize.csv'
 pandas.read_csv(csv_path_traning).to_sql("Training", database, if_exists='append', index=False)
 pandas.read_csv(csv_path_comp).to_sql("Competition", database, if_exists='append', index=False)
 pandas.read_csv(csv_path_coach).to_sql("Coach", database, if_exists='append', index=False)
 pandas.read_csv(csv_path_prize).to_sql("Prize", database, if_exists='append', index=False)
+pandas.read_csv(csv_path_m_prize).to_sql("M_Prize", database, if_exists='append', index=False)
 pandas.read_csv(csv_path_sportsman).to_sql("Sportsman", database, if_exists='append', index=False)
 pandas.read_csv(csv_path_fan).to_sql("Fan", database, if_exists='append', index=False)
 pandas.read_csv(csv_path_m_competition).to_sql("M_Competition", database, if_exists='append', index=False)
-pandas.read_csv(csv_path_m_training).to_sql("M_Traning", database, if_exists='append', index=False)
+pandas.read_csv(csv_path_m_training).to_sql("M_Training", database, if_exists='append', index=False)
+
+MODELS = [Coach,
+ Competition,
+ Fan,
+ M_Competition,
+ M_Training,
+ Prize,
+ Sportsman,
+ Training]
+
+database.create_tables(MODELS)

database/queries.py

@@ -0,0 +1,44 @@
+def query_1(sportX):
+    ans = []
+    query = (Sportsman.select(Coach.Name).join(Coach).filter(Sportsman.Sport_Name == sportX).group_by('Coach.Name'))
+    for x in database.execute(query):
+        ans.append(list(x))
+    return ans
+
+def query_2(substrX):
+    ans = []
+    query = (Training
+         .select(Training.Target,
+                 Training.Date,
+                 Sportsman.Name,
+                 Competition.Name)
+         .join(M_Training)
+         .join(Sportsman)
+         .join(M_Competition)
+         .join(Competition)
+         .where(Competition.Name ** f'%{substrX}%')
+         .order_by(Training.Date.desc()))
+    for x in database.execute(query):
+        ans.append(list(x))
+    return ans
+
+def query_3(duratX, titleY):
+    ans = []
+    query = (Fan
+         .select(Fan.Club,
+                 Sportsman.Name,
+                 Competition.Date,
+                 Competition.Name)
+         .join(Sportsman)
+         .join(M_Competition)
+         .join(Competition)
+         .switch(Sportsman)
+         .join(M_Prize)
+         .join(Prize)
+         .where(Competition.Duration > duratX,
+                Prize.Title == titleY)
+         .group_by(Fan.Club)
+         )
+    for x in database.execute(query):
+        ans.append(list(x))
+    return ans