Add single python script for translating third party information into SQL

third_party/README.md

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+Import Third parties into Chill from the canvas
+===============================================
+
+This folder contains a single Python script that reads a csv file with Third party and print to the console some SQL to execute on the database.
+
+The csv file should be simply exported from the sheet "Tiers" from the xls canvas.
+
+Then, you can run the python script with adapting the following:
+
+- name of the csv file to open
+- change the mapping of third party categories, civilities and third party kinds according to your Chill database
+
+
+So far, the addresses are not treated.

third_party/import_third_party_to_sql.py

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+import csv
+
+print_to_screen = "INSERT INTO chill_3party.third_party (id, civility_id, name, firstname, name_company, acronym, kind, parent_id, profession, email, telephone, comment, contact_data_anonymous, active, created_at) VALUES"
+
+
+def get_parent_id(arg):
+    return int(arg) + 1000 if arg else "NULL"
+
+
+def get_third_party_civility(arg):
+    if arg == "Madame":
+        return 1
+    elif arg == "Monsieur":
+        return 2
+    elif arg == "Docteur":
+        return 3
+    else:
+        return "NULL"
+
+
+def get_third_party_kind(arg):
+    if arg == "Tiers institutionnel":
+        return "company"
+    elif arg == "Personne de contact":
+        return "child"
+    elif arg == "Personne morale":
+        return "contact"
+    else:
+        return "company"
+
+
+def make_bool_with_default_false(arg):
+    if arg == "oui":
+        return True
+    else:
+        return False
+
+
+def make_telephone(arg):
+    if arg:
+        return f"'+32{arg}'"
+    else:
+        return "NULL"
+
+
+with open("HalleDeHan_tiers.csv", newline="") as csv_file:
+    csv_reader = csv.reader(csv_file)
+
+    for skip in range(7):
+        next(csv_file)
+
+    for row in csv_reader:
+        third_party_id = int(row[0]) + 1000
+        civility = get_third_party_civility(row[1])
+        name = row[2]
+        firstname = row[3]
+        name_company = row[4]
+        acronym = row[5]
+        kind = get_third_party_kind(row[6])
+        parent_id = get_parent_id(row[7])
+        # row[8] is the name of the parent in the csv
+        profession = row[9]
+        # category = row[10]  # category -> see below
+        email = row[11]
+        telephone = make_telephone(row[12])
+        # street = row[13]  # TODO address
+        # extra = row[14]
+        # streetnumber = row[15]
+        # postcode = row[16]
+        # country = row[17]
+        # validfrom = row[18]
+        comment = row[19]
+        contact_data_anonymous = make_bool_with_default_false(row[20])
+        print_to_screen += f"({third_party_id}, {civility}, '{name}', '{firstname}', '{name_company}', '{acronym}', '{kind}', {parent_id}, '{profession}', '{email}', {telephone}, '{comment}', {contact_data_anonymous}, True, NOW()),"
+
+print_to_screen = print_to_screen[:-1]
+
+print(print_to_screen)
+
+## categories
+
+print_to_screen_cat = (
+    "INSERT INTO chill_3party.thirdparty_category (thirdparty_id, category_id) VALUES"
+)
+
+
+def get_third_party_category(arg):
+    if arg == "Stage vente":
+        return 2
+    elif arg == "Stage reassort":
+        return 8
+    elif arg == "Stage social / educ":
+        return 9
+    elif arg == "Stage logistique":
+        return 10
+    elif arg == "Stage bureautique":
+        return 11
+    else:
+        return None
+
+
+with open("HalleDeHan_tiers.csv", newline="") as csv_file:
+    csv_reader = csv.reader(csv_file)
+
+    for skip in range(7):
+        next(csv_file)
+
+    for row in csv_reader:
+        third_party_id = int(row[0]) + 1000
+        category_id = get_third_party_category(row[10])
+        if category_id:
+            print_to_screen_cat += f"({third_party_id}, {category_id}),"
+
+print_to_screen_cat = print_to_screen_cat[:-1]
+
+print(print_to_screen_cat)
+
+# TODO addresses