From 48a629b144bfc369adeb54f48de86a929a68068e Mon Sep 17 00:00:00 2001
From: fabia <fabian.manske@student.jade-hs.de>
Date: Thu, 11 Dec 2025 14:05:24 +0100
Subject: [PATCH] Import Tachymeter fertig

---
 Campusnetz.db    | Bin 98304 -> 106496 bytes
 Campusnetz.ipynb |  72 ++++++++++++++------
 Import.py        | 166 ++++++++++++++++++++++++++++++++++++++++++++++-
 3 files changed, 216 insertions(+), 22 deletions(-)

diff --git a/Campusnetz.db b/Campusnetz.db
index 813c474644d92826b52a2e609d0360cb50ef8b0d..d4d8628bee87248d0f9554a9e2c15284b307b692 100644
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diff --git a/Campusnetz.ipynb b/Campusnetz.ipynb
index 506c4d3..3265393 100644
--- a/Campusnetz.ipynb
+++ b/Campusnetz.ipynb
@@ -6,8 +6,8 @@
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:08.191585Z",
-     "start_time": "2025-12-10T17:56:07.832678Z"
+     "end_time": "2025-12-11T12:48:02.991066Z",
+     "start_time": "2025-12-11T12:48:02.590922Z"
     }
    },
    "source": [
@@ -16,7 +16,8 @@
     "import Import\n",
     "import importlib\n",
     "import Koordinatentransformationen\n",
-    "import sqlite3"
+    "import sqlite3\n",
+    "from pathlib import Path"
    ],
    "outputs": [],
    "execution_count": 1
@@ -24,8 +25,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:08.274538Z",
-     "start_time": "2025-12-10T17:56:08.235850Z"
+     "end_time": "2025-12-11T12:48:03.094896Z",
+     "start_time": "2025-12-11T12:48:03.010452Z"
     }
    },
    "cell_type": "code",
@@ -47,8 +48,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:08.297943Z",
-     "start_time": "2025-12-10T17:56:08.279765Z"
+     "end_time": "2025-12-11T12:48:03.117333Z",
+     "start_time": "2025-12-11T12:48:03.099737Z"
     }
    },
    "cell_type": "code",
@@ -72,8 +73,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:08.314677Z",
-     "start_time": "2025-12-10T17:56:08.304360Z"
+     "end_time": "2025-12-11T12:48:03.133119Z",
+     "start_time": "2025-12-11T12:48:03.123298Z"
     }
    },
    "cell_type": "code",
@@ -275,8 +276,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:08.325087Z",
-     "start_time": "2025-12-10T17:56:08.319929Z"
+     "end_time": "2025-12-11T12:48:03.144627Z",
+     "start_time": "2025-12-11T12:48:03.140303Z"
     }
    },
    "cell_type": "code",
@@ -301,8 +302,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:08.355544Z",
-     "start_time": "2025-12-10T17:56:08.333320Z"
+     "end_time": "2025-12-11T12:48:03.173134Z",
+     "start_time": "2025-12-11T12:48:03.154035Z"
     }
    },
    "cell_type": "code",
@@ -362,8 +363,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:10.662819Z",
-     "start_time": "2025-12-10T17:56:08.361074Z"
+     "end_time": "2025-12-11T12:48:05.283580Z",
+     "start_time": "2025-12-11T12:48:03.178151Z"
     }
    },
    "cell_type": "code",
@@ -535,8 +536,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:10.844846Z",
-     "start_time": "2025-12-10T17:56:10.809175Z"
+     "end_time": "2025-12-11T12:48:05.460533Z",
+     "start_time": "2025-12-11T12:48:05.427340Z"
     }
    },
    "cell_type": "code",
@@ -727,8 +728,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:10.872837Z",
-     "start_time": "2025-12-10T17:56:10.853910Z"
+     "end_time": "2025-12-11T12:48:05.493950Z",
+     "start_time": "2025-12-11T12:48:05.476525Z"
     }
    },
    "cell_type": "code",
@@ -745,8 +746,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-12-10T17:56:10.904556Z",
-     "start_time": "2025-12-10T17:56:10.882418Z"
+     "end_time": "2025-12-11T12:48:05.525108Z",
+     "start_time": "2025-12-11T12:48:05.503651Z"
     }
    },
    "cell_type": "code",
@@ -780,6 +781,35 @@
     }
    ],
    "execution_count": 10
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-12-11T12:48:09.112399Z",
+     "start_time": "2025-12-11T12:48:09.106481Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Importieren der tachymetrischen Beobachtungen\n",
+    "importlib.reload(Import)\n",
+    "imp = Import.Import(pfad_datenbank)\n",
+    "\n",
+    "pfad_datei_tachymeterbeobachtungen = r\"Daten\\campsnetz_beobachtungen_bereinigt.csv\"\n",
+    "\n",
+    "imp.import_beobachtungen_tachymeter(pfad_datei_tachymeterbeobachtungen, 1)"
+   ],
+   "id": "509e462917e98145",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Der Import wurde abgebrochen, weil die Beobachtungen aus der Datei Daten\\campsnetz_beobachtungen_bereinigt.csv bereits in der Datenbank vorhanden sind.\n"
+     ]
+    }
+   ],
+   "execution_count": 12
   }
  ],
  "metadata": {
diff --git a/Import.py b/Import.py
index 1a33a7c..9cbb567 100644
--- a/Import.py
+++ b/Import.py
@@ -1,5 +1,6 @@
 import csv
 import sqlite3
+from decimal import Decimal
 
 class Import:
     def __init__(self, pfad_datenbank):
@@ -10,6 +11,10 @@ class Import:
         zahl = zahl.replace(',', '.')
         return float(zahl)
 
+    def string_to_decimal(self, zahl):
+        zahl = zahl.replace(',', '.')
+        return Decimal(zahl)
+
     def import_koordinaten_lh_tachymeter(self, pfad_datei):
         liste_punktnummern = []
         liste_punktnummern_vorher = []
@@ -54,4 +59,163 @@ class Import:
             con.commit()
             cursor.close()
             con.close()
-            print("Der Import der Näherungskoordinaten wurde erfolgreich abgeschlossen")
\ No newline at end of file
+            print("Der Import der Näherungskoordinaten wurde erfolgreich abgeschlossen")
+
+    def import_beobachtungen_tachymeter(self, pfad_datei, instrumentenID):
+        # Prüfen, ob Bereits Daten aus der Datei in der Datenbank vorhanden sind
+        con = sqlite3.connect(self.pfad_datenbank)
+        cursor = con.cursor()
+        liste_dateinamen_in_db = [r[0] for r in cursor.execute(
+            "SELECT DISTINCT dateiname FROM Beobachtungen"
+        ).fetchall()]
+        liste_beobachtungsgruppeID = [r[0] for r in cursor.execute("""SELECT DISTINCT beobachtungsgruppeID
+                                                                      FROM Beobachtungen""").fetchall()]
+        liste_instrumentenid = [r[0] for r in cursor.execute("SELECT instrumenteID FROM Instrumente").fetchall()]
+
+        con.close()
+        cursor.close
+
+        Import_fortsetzen = True
+
+        if pfad_datei in liste_dateinamen_in_db:
+            Import_fortsetzen = False
+
+        if Import_fortsetzen:
+            nummer_zielpunkt = 0
+            try:
+                nummer_beobachtungsgruppeID = max(liste_beobachtungsgruppeID)
+            except:
+                nummer_beobachtungsgruppeID = 0
+
+            with (open(pfad_datei, "r", encoding="utf-8") as f):
+                liste_fehlerhafte_zeile = []
+                liste_beobachtungen_vorbereitung = []
+
+                for i, zeile in enumerate(f):
+                    if i < 3:
+                        continue
+                    zeile = zeile.strip().split(";")
+                    if zeile[1] == "" and zeile[2] == "" and zeile[3] == "":
+                        nummer_beobachtungsgruppeID += 1
+                        # print("Standpunkt: ",nummer_beobachtungsgruppeID ,zeile[0])
+                        standpunkt = zeile[0]
+
+                        if nummer_zielpunkt % 6 != 0:
+                            liste_fehlerhafte_zeile.append(i)
+
+                        nummer_zielpunkt = 0
+                        liste_zielpunkte_hs = []
+                        liste_zielpunkte_vs2 = []
+                        liste_zielpunkte_vs3 = []
+                    else:
+                        nummer_zielpunkt += 1
+                        if zeile[0] not in liste_zielpunkte_hs:
+                            liste_zielpunkte_hs.append(zeile[0])
+                            if zeile[0] in liste_zielpunkte_vs3:
+                                # print(f"{nummer_zielpunkt} VS3 HS1 {zeile}")
+                                liste_beobachtungen_vorbereitung.append(
+                                    [nummer_beobachtungsgruppeID, "VS3", "HS1", standpunkt, zeile[0], zeile[1],
+                                     zeile[2], zeile[3]])
+                            elif zeile[0] in liste_zielpunkte_vs2:
+                                # print(f"{nummer_zielpunkt} VS2 HS1 {zeile}")
+                                liste_beobachtungen_vorbereitung.append(
+                                    [nummer_beobachtungsgruppeID, "VS2", "HS1", standpunkt, zeile[0], zeile[1],
+                                     zeile[2], zeile[3]])
+                            else:
+                                # print(f"{nummer_zielpunkt} VS1 HS1 {zeile}")
+                                liste_beobachtungen_vorbereitung.append(
+                                    [nummer_beobachtungsgruppeID, "VS1", "HS1", standpunkt, zeile[0], zeile[1],
+                                     zeile[2],
+                                     zeile[3]])
+
+                        else:
+                            liste_zielpunkte_hs.remove(zeile[0])
+                            if zeile[0] in liste_zielpunkte_vs3:
+                                # print(f"{nummer_zielpunkt} VS3 HS2 {zeile}")
+                                liste_beobachtungen_vorbereitung.append(
+                                    [nummer_beobachtungsgruppeID, "VS3", "HS2", standpunkt, zeile[0], zeile[1],
+                                     zeile[2],
+                                     zeile[3]])
+
+                            elif zeile[0] in liste_zielpunkte_vs2:
+                                if zeile[0] not in liste_zielpunkte_vs3:
+                                    liste_zielpunkte_vs3.append(zeile[0])
+                                # print(f"{nummer_zielpunkt} VS2 HS2 {zeile}")
+                                liste_beobachtungen_vorbereitung.append(
+                                    [nummer_beobachtungsgruppeID, "VS2", "HS2", standpunkt, zeile[0], zeile[1],
+                                     zeile[2],
+                                     zeile[3]])
+                            else:
+                                if zeile[0] not in liste_zielpunkte_vs2:
+                                    liste_zielpunkte_vs2.append(zeile[0])
+                                # print(f"{nummer_zielpunkt} VS1 HS2 {zeile}")
+                                liste_beobachtungen_vorbereitung.append(
+                                    [nummer_beobachtungsgruppeID, "VS1", "HS2", standpunkt, zeile[0], zeile[1],
+                                     zeile[2],
+                                     zeile[3]])
+
+            if liste_fehlerhafte_zeile == []:
+                # print(f"Einlesen der Datei {pfad_datei} erfolgreich beendet.")
+                pass
+            else:
+                print(
+                    f"Das Einlesen der Datei {pfad_datei} wurde abgebrochen.\nBitte bearbeiten Sie die Zeilen rund um: {", ".join(map(str, liste_fehlerhafte_zeile))} in der csv-Datei und wiederholen Sie den Import.")
+                Import_fortsetzen = False
+
+        else:
+            print(
+                f"Der Import wurde abgebrochen, weil die Beobachtungen aus der Datei {pfad_datei} bereits in der Datenbank vorhanden sind.")
+
+        if Import_fortsetzen:
+            liste_beobachtungen_import = []
+
+            while len(liste_beobachtungen_vorbereitung) > 0:
+                liste_aktueller_zielpunkt = liste_beobachtungen_vorbereitung[0]
+                aktueller_zielpunkt = liste_aktueller_zielpunkt[4]
+                # print(liste_beobachtungen_vorbereitung[0])
+
+                for index in range(1, len(liste_beobachtungen_vorbereitung)):
+                    liste = liste_beobachtungen_vorbereitung[index]
+
+                    if liste[4] == aktueller_zielpunkt:
+                        # print(liste)
+                        richtung1 = self.string_to_decimal(liste_aktueller_zielpunkt[5])
+                        richtung2 = self.string_to_decimal(liste[5]) - Decimal(200)
+                        zenitwinkel_vollsatz = (self.string_to_decimal(liste_aktueller_zielpunkt[6]) - self.string_to_decimal(
+                            liste[6]) + 400) / 2
+                        distanz_vollsatz = (self.string_to_decimal(liste_aktueller_zielpunkt[7]) + self.string_to_decimal(
+                            liste[7])) / 2
+                        if richtung2 < 0:
+                            richtung2 += Decimal(400)
+                        elif richtung2 > 400:
+                            richtung2 -= Decimal(400)
+                        richtung_vollsatz = (richtung1 + richtung2) / 2
+
+                        # print(richtung_vollsatz)
+                        # print(zenitwinkel_vollsatz)
+                        # print(distanz_vollsatz)
+                        liste_beobachtungen_import.append(
+                            [liste[0], liste[3], liste[4], richtung_vollsatz, zenitwinkel_vollsatz, distanz_vollsatz])
+
+                        del liste_beobachtungen_vorbereitung[index]
+                        del liste_beobachtungen_vorbereitung[0]
+                        break
+
+        if instrumentenID not in liste_instrumentenid:
+            Import_fortsetzen = False
+            print(
+                "Der Import wurde abgebrochen. Bitte eine gültige InstrumentenID eingeben. Bei Bedarf ist das Instrument neu anzulegen.")
+
+        if Import_fortsetzen:
+            con = sqlite3.connect(self.pfad_datenbank)
+            cursor = con.cursor()
+            for beobachtung_import in liste_beobachtungen_import:
+                cursor.execute(
+                    "INSERT INTO Beobachtungen (punktnummer_sp, punktnummer_zp, instrumenteID, beobachtungsgruppeID, tachymeter_richtung, tachymeter_zenitwinkel, tachymeter_distanz, dateiname) VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
+                    (beobachtung_import[1], beobachtung_import[2], instrumentenID, beobachtung_import[0],
+                     float(beobachtung_import[3]), float(beobachtung_import[4]), float(beobachtung_import[5]),
+                     pfad_datei))
+            con.commit()
+            cursor.close()
+            con.close()
+            print(f"Der Import der Datei {pfad_datei} wurde erfolgreich abgeschlossen.")
\ No newline at end of file