Reorganize project structure

This commit is contained in:
Markus Zimmerberger
2024-11-19 09:22:39 +01:00
parent 48d06341ef
commit 7d76e217f1
13 changed files with 142 additions and 68 deletions
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+2 -2
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@@ -5,8 +5,8 @@
'spread': 1.0},
'visualize_params': {'median_threshold': 6},
'spreadsheet_name': 'Zeiterfassung alle Projekte',
'worksheet_name': 'Juni 2024',
'week': [23],
'worksheet_name': 'November 2024',
'week': [45,46],
'name': 'Markus Zimmerberger',
'username': 'ZIM9003',
'ansprechpartner_username': 'GRM0003',
+15
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@@ -0,0 +1,15 @@
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, declarative_base
DATABASE_URL = 'postgresql://zisco:ELcowUwryNy0PUf3Jr7z@192.168.1.202:5432/zisco'
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()
+92
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@@ -0,0 +1,92 @@
from dataclasses import dataclass
import gspread
import csv
import locale
import datetime
import yaml
import os
#TODO: Upload automatically!
@dataclass
class Export: # all necessary fields for ELSAP-importfiles
sum_col: str
desc_col: str
week: str
bestellnummer: str
bestellposition: str
leistungszeilennummer: str
kurztext: str
leistungszeilentext: str
username: str
name: str
kontierung: str
ansprechpartner_username: str
ansprechpartner_name: str
def export_timesheet(csvexport_filename, ex: Export):
with open(f"{csvexport_filename}.csv", 'w') as file:
writer = csv.writer(file, delimiter=';', lineterminator="\n")
writer.writerow(["Bestellnummer","Bestellpositionsnr","Leistungszeilennummer","Kurztext","Leistungszeilentext","Username","Name","Arbeitstag","Stunden","Beschreibung","Kontierung","Ansprechpartner Username","Ansprechpartner","Status"])
# iterate
for time_entry in list_of_dicts:
if time_entry.get(ex.sum_col) and time_entry.get(ex.desc_col) and time_entry.get("week"):
if (int(time_entry.get("week")) in week) or week is None:
#if week == int(time_entry.get("week")) or week is None:
date_str_de_de = time_entry.get("date")
datetime_object = datetime.datetime.strptime(date_str_de_de, '%a., %d. %B %Y')
if ex.kontierung == '':
sub_kontierung = time_entry.get("pos_service").split("-")[1]
writer.writerow([ex.bestellnummer,ex.bestellposition,ex.leistungszeilennummer,ex.kurztext,ex.leistungszeilentext,ex.username,ex.name,datetime_object.strftime('%d.%m.%Y'),time_entry.get(ex.sum_col),time_entry.get(ex.desc_col),sub_kontierung,ex.ansprechpartner_username,ex.ansprechpartner_name,"OFFEN"])
else:
writer.writerow([ex.bestellnummer,ex.bestellposition,ex.leistungszeilennummer,ex.kurztext,ex.leistungszeilentext,ex.username,ex.name,datetime_object.strftime('%d.%m.%Y'),time_entry.get(ex.sum_col),time_entry.get(ex.desc_col),ex.kontierung,ex.ansprechpartner_username,ex.ansprechpartner_name,"OFFEN"])
# Check if the file size is small (indicating only the header)
file_path = f"{csvexport_filename}.csv"
# Use os.path.getsize to get the file size
if os.path.getsize(file_path) <= 190: # Adjust this size threshold based on your expected header size
os.remove(file_path)
print(f"File {file_path} was deleted because it only contained the header.")
else:
print(f"File {file_path} contains data and was not deleted.")
locale.setlocale(locale.LC_ALL, 'de_DE')
with open("./app/config.yaml", encoding='utf8') as f:
cfg = yaml.load(f, Loader=yaml.FullLoader)
gc = gspread.service_account()
sh = gc.open(cfg['spreadsheet_name'])
worksheet = sh.worksheet(cfg['worksheet_name'])
week = cfg['week'] # 10, 11, 12 or None
username = cfg['username']
name = cfg['name']
ansprechpartner_username = cfg['ansprechpartner_username']
ansprechpartner_name = cfg['ansprechpartner_name']
# read the whole sheet
list_of_dicts = worksheet.get_all_records(numericise_ignore=['all'])
for key in ["wgwr3", "wgwr_service", "dkarb", "bauwb", "service"]:
elsap_id = list_of_dicts[2].get(f"sum_{key}")
if elsap_id != "":
csvexport_filename = f"{datetime.date.today().strftime('%Y_%m')}_01_{elsap_id}_{username}"
ex1 = Export(sum_col=f"sum_{key}",
desc_col=f"desc_{key}",
week=week,
bestellnummer=elsap_id.split('_')[0],
bestellposition=elsap_id.split('_')[1],
leistungszeilennummer=elsap_id.split('_')[2],
kurztext=list_of_dicts[1].get(f"sum_{key}"),
leistungszeilentext=list_of_dicts[3].get(f"sum_{key}"),
username=username,
name=name,
kontierung=list_of_dicts[4].get(f"sum_{key}"),
ansprechpartner_username=ansprechpartner_username,
ansprechpartner_name=ansprechpartner_name)
export_timesheet(csvexport_filename=csvexport_filename, ex=ex1)
+2 -2
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@@ -19,7 +19,7 @@ class InvoiceMaker(object):
#----------------------------------------------------------------------
def createDocument(self):
def create_document(self):
""""""
voffset = 65
@@ -84,5 +84,5 @@ class InvoiceMaker(object):
#----------------------------------------------------------------------
if __name__ == "__main__":
doc = InvoiceMaker("example.pdf", "The MVP", 10)
doc.createDocument()
doc.create_document()
doc.savePDF()
+14
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@@ -0,0 +1,14 @@
from fastapi import FastAPI, Depends
from sqlalchemy.orm import Session
from . import models, database
app = FastAPI()
@app.on_event("startup")
def startup():
models.Base.metadata.create_all(bind=database.engine)
@app.get("/users/")
def read_users(db: Session = Depends(database.get_db)):
users = db.query(models.User).all()
return users
+9
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@@ -0,0 +1,9 @@
from sqlalchemy import Column, Integer, String
from .database import Base
class User(Base):
__tablename__ = 'time_recordings'
id = Column(Integer, primary_key=True, index=True)
project_id = Column(String(255), index=True)
#email = Column(String(255), unique=True, index=True)
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-64
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@@ -1,64 +0,0 @@
import gspread
import csv
import locale
import datetime
import yaml
#TODO: Upload automatically!
def export_timesheet(Csvexport_filename,Sum_col,Desc_col,Week,Bestellnummer,Bestellposition,Leistungszeilennummer,Kurztext,Leistungszeilentext,Username,Name,Kontierung,Ansprechpartner_username,Ansprechpartner_name):
with open(f"{Csvexport_filename}.csv", 'w') as file:
writer = csv.writer(file, delimiter=';', lineterminator="\n")
writer.writerow(["Bestellnummer","Bestellpositionsnr","Leistungszeilennummer","Kurztext","Leistungszeilentext","Username","Name","Arbeitstag","Stunden","Beschreibung","Kontierung","Ansprechpartner Username","Ansprechpartner","Status"])
# iterate
for time_entry in list_of_dicts:
if time_entry.get(Sum_col) and time_entry.get(Desc_col) and time_entry.get("week"):
if (int(time_entry.get("week")) in week) or week is None:
#if week == int(time_entry.get("week")) or week is None:
date_str_de_DE = time_entry.get("date")
datetime_object = datetime.datetime.strptime(date_str_de_DE, '%a., %d. %B %Y')
if Kontierung == '':
SubKontierung = time_entry.get("pos_service").split("-")[1]
writer.writerow([Bestellnummer,Bestellposition,Leistungszeilennummer,Kurztext,Leistungszeilentext,Username,Name,datetime_object.strftime('%d.%m.%Y'),time_entry.get(Sum_col),time_entry.get(Desc_col),SubKontierung,Ansprechpartner_username,Ansprechpartner_name,"OFFEN"])
else:
writer.writerow([Bestellnummer,Bestellposition,Leistungszeilennummer,Kurztext,Leistungszeilentext,Username,Name,datetime_object.strftime('%d.%m.%Y'),time_entry.get(Sum_col),time_entry.get(Desc_col),Kontierung,Ansprechpartner_username,Ansprechpartner_name,"OFFEN"])
locale.setlocale(locale.LC_ALL, 'de_DE')
with open("config.yaml", encoding='utf8') as f:
cfg = yaml.load(f, Loader=yaml.FullLoader)
gc = gspread.service_account()
sh = gc.open(cfg['spreadsheet_name'])
worksheet = sh.worksheet(cfg['worksheet_name'])
week = cfg['week'] # 10, 11, 12 or None
username = cfg['username']
name = cfg['name']
ansprechpartner_username = cfg['ansprechpartner_username']
ansprechpartner_name = cfg['ansprechpartner_name']
# read the whole sheet
list_of_dicts = worksheet.get_all_records(numericise_ignore=['all'])
for key in ["wgwr3", "wgwr_service", "dkarb", "bauwb", "service"]:
elsap_id = list_of_dicts[2].get(f"sum_{key}")
if elsap_id != "":
# elsap_id = worksheet.acell('H3').value #'2061818_00030_0000000020'
csvexport_filename = f"{datetime.date.today().strftime('%Y_%m')}_01_{elsap_id}_{username}"
export_timesheet(Csvexport_filename=csvexport_filename,
Sum_col=f"sum_{key}",
Desc_col=f"desc_{key}",
Week=week,
Bestellnummer=elsap_id.split('_')[0],
Bestellposition=elsap_id.split('_')[1],
Leistungszeilennummer=elsap_id.split('_')[2],
Kurztext=list_of_dicts[1].get(f"sum_{key}"),
Leistungszeilentext=list_of_dicts[3].get(f"sum_{key}"),
Username=username,
Name=name,
Kontierung=list_of_dicts[4].get(f"sum_{key}"),
Ansprechpartner_username=ansprechpartner_username,
Ansprechpartner_name=ansprechpartner_name)
+4
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@@ -0,0 +1,4 @@
flyway.url=jdbc:postgresql://postgresql.home:5432/zisco
flyway.user=zisco
flyway.password=ELcowUwryNy0PUf3Jr7z
flyway.locations=filesystem:./sql
+4
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@@ -0,0 +1,4 @@
CREATE TABLE zisco.time_recordings (
id INT AUTO_INCREMENT PRIMARY KEY,
project_id INT
);