Create different DBs for each table

code/database/constants.py

@@ -1,3 +1,4 @@
 DB_NAME = "igdb"
 DB_USER = "igdb"
 DB_PW = "agentorange"
+ADMIN_PW = "fuckmonsanto"

code/database/db_setup.py

@@ -76,10 +76,14 @@ class Annual_Change(db.Model):
 class User(db.Model):
     uid = db.Column(db.Integer, primary_key=True)
     registration_date = db.Column(db.DateTime, nullable=False)
+    username = db.Column(db.String(20), nullable=False, unique=True)
+    password = db.Column(db.String(60))
 
-    def __init__(self, uid):
+    def __init__(self, uid, username, password):
         self.uid = uid
         self.registration_date = datetime.today()
+        self.username = username
+        self.password = password
 
 
 def create_tables():

code/database/parser.py

@@ -1,6 +1,7 @@
 from iso3166 import countries as co
 from pandas import DataFrame, concat, read_csv
 from csv import QUOTE_NONNUMERIC
+from constants import ADMIN_PW
 
 
 def country_conversion(political_unit) -> str:
@@ -12,6 +13,7 @@ def select_columns() -> DataFrame:
     min_year = 2010
     fields = [
         "POLITICAL_UNIT",
+        "NAME",
         "WGMS_ID",
         "YEAR",
         "AREA_SURVEY_YEAR",
@@ -31,10 +33,29 @@ def select_columns() -> DataFrame:
     return data
 
 
+def create_databases(df):
+    users = {"UID": [7843], "USERNAME": ["admin"], "PASSWORD": [ADMIN_PW]}
+    files = {
+        "glacier": "../data/glacier.csv",
+        "annual_data": "../data/annual_data.csv",
+        "annual_change": "../data/annual_change.csv",
+        "users": "../data/users.csv",
+    }
+    dataframes = {
+        "glacier": df[["POLITICAL_UNIT", "NAME", "WGMS_ID"]].drop_duplicates(),
+        "annual_data": df[["WGMS_ID", "YEAR", "AREA_SURVEY_YEAR"]],
+        "annual_change": df[
+            ["WGMS_ID", "YEAR", "AREA_CHANGE", "THICKNESS_CHG", "VOLUME_CHANGE"]
+        ],
+        "users": DataFrame(users),
+    }
+    for key, val in dataframes.items():
+        val.to_csv(files[key], index=False, quoting=QUOTE_NONNUMERIC)
+
+
 def main():
     df = select_columns()
-    database = "../data/igdb.csv"
-    df.to_csv(database, index=False, quoting=QUOTE_NONNUMERIC)
+    create_databases(df)
 
 
 if __name__ == "__main__":

code/database/storage.py

@@ -0,0 +1,22 @@
+from db_setup import create_connection
+from pandas import DataFrame, read_csv, to_sql
+
+
+def create_dataframe() -> DataFrame:
+    csv_file = "../data/igdb.csv"
+    df = read_csv(csv_file)
+    return df
+
+
+def insert_data(df, conn):
+    df.to_sql("glacier", con=conn, if_exists="replace", index=False)
+
+
+def main():
+    conn = create_connection()
+    df = create_dataframe()
+    insert_data(df, conn)
+
+
+if __name__ == "__main__":
+    main()

data/users.csv

@@ -0,0 +1,2 @@
+"UID","USERNAME","PASSWORD"
+7843,"admin","fuckmonsanto"

docs/Project.org

@@ -39,6 +39,8 @@ datos relevantes para estudios acerca del cambio climático, y acotando éstos a
 4. *RD4*: Datos del administrador
    - ID - /Entero de 4 dígitos/
    - Fecha de alta - /Fecha en formato dd-mm-yyyy/
+   - Nombre de usuario - /Cadena de 20 caracteres máximo/
+   - Contraseña - /Cadena de 60 caracteres máximo/
 
 *** Funcionales