wip rewrite

BudaPortaXmlConvert.py

@@ -205,7 +205,7 @@ xmlString = ET.tostring(data, encoding="utf-8", xml_declaration=True)
 
 # -------------------------------- Format xml -------------------------------- #
 
-formatter = xmlformatter.Formatter(indent="2", indent_char=" ")
+formatter = xmlformatter.Formatter(indent=2, indent_char=" ")
 formattedXml = formatter.format_string(xmlString)
 
 # print(formattedXml)

BudaportaFvmConvert/__init__.py

@@ -4,6 +4,7 @@ import argparse
 from importlib.metadata import metadata
 from pathlib import Path
 import csv
+import datetime
 
 REQUIRED_CSV_COLUMNS = ['Notes', 'Meter n°', 'Reading', 'Reading data']
 
@@ -11,6 +12,7 @@ REQUIRED_CSV_COLUMNS = ['Notes', 'Meter n°', 'Reading', 'Reading data']
 METADATA = metadata("BudaportaFvmConvert")
 __version__ = METADATA["Version"]
 
+
 def run():
     parser = argparse.ArgumentParser(
         prog=METADATA["Name"],
@@ -23,26 +25,26 @@ def run():
                         )
 
     parser.add_argument("source",
-                    type=Path,
+                        type=Path,
-                    help="Path to a csv file or a folder",
+                        help="Path to a csv file or a folder",
-                    nargs="+"
+                        nargs="+"
-                    )
+                        )
 
     args = parser.parse_args()
 
     csvpaths = []
+    readings = []
 
     for path in args.source:
         if path.is_dir():
             csvpaths.extend(get_csv_paths(path))
         elif path.suffix == ".csv":
-                csvpaths.append(path)
+            csvpaths.append(path)
 
     for csvpath in csvpaths:
-        CsvFile(csvpath)
+        readings.extend(CsvFile(csvpath).get_readings())
-        
+
-            
+
-        
 def get_csv_paths(dp: Path):
     paths = []
     if dp.is_dir():
@@ -54,12 +56,42 @@ def get_csv_paths(dp: Path):
 
 class CsvFile:
     def __init__(self, filepath: Path) -> None:
-        with open(filepath, newline='') as csvfile:
+        self.header_numbers = {}
-            incsv = csv.reader(csvfile, delimiter=';')
+        self.readings = []
-            # csvArrs.append([])
+        with open(filepath, newline='', encoding="cp1252") as csvfile:
-            # for row in incsv:
+            incsv = list(csv.reader(csvfile, delimiter=';'))
-            #     csvArrs[0].append(row)
+            header_row = incsv.pop(0)
+            for i, col_name in enumerate(header_row):
+                if col_name in REQUIRED_CSV_COLUMNS:
+                    self.header_numbers[col_name] = i
+            for csv_row in incsv:
+                self.readings.append(Reading(csv_row, self.header_numbers))
 
-class CsvRow:
+    def get_readings(self) -> list["Reading"]:
-    def __init__(self, ) -> None:
+        return self.readings
-        pass
+
+class Reading:
+    def __init__(self, csv_row: list, header_numbers: dict) -> None:
+        self.data_dict = {
+            "KeszulekAzon": "",
+            "Gyariszam": "",
+            "MeroAllas": "",
+            "MertekEgyseg": "m3",
+            "LeoMod": "20",
+            "LeoMegjegyzes": "06",
+            "TenyLeoDatum": "",
+            "TenyLeoIdo": ""
+        }
+        for col_name, col_num in header_numbers.items():
+            if col_name == "Notes":
+                self.data_dict["KeszulekAzon"] = csv_row[col_num]
+            elif col_name == "Meter n°":
+                self.data_dict["Gyariszam"] = csv_row[col_num]
+            elif col_name == "Reading":
+                self.data_dict["MeroAllas"] = csv_row[col_num]\
+                    .replace(',', '.').replace(' ', '')
+            elif col_name == "Reading data":
+                reading_date = datetime.datetime.strptime(
+                    csv_row[col_num], '%d. %m. %Y %H:%M:%S')
+                self.data_dict["TenyLeoDatum"] = reading_date.strftime('%Y%m%d')
+                self.data_dict["TenyLeoIdo"] = reading_date.strftime('%H%M%S')