From 9af7136d190164bd8798d8565eb33e4810f98b69 Mon Sep 17 00:00:00 2001 From: foefl Date: Mon, 15 Jun 2026 16:32:58 +0200 Subject: [PATCH] working connection to Wittenbecher's external database --- database/create.sql | 26 ++ pdm.lock | 291 ++++++++++++++++++++- prototpyes/01_connect.py | 160 +++++++++++ pyproject.toml | 2 +- src/{py311 => kmi_wb_postgres}/__init__.py | 0 5 files changed, 473 insertions(+), 6 deletions(-) create mode 100644 database/create.sql create mode 100644 prototpyes/01_connect.py rename src/{py311 => kmi_wb_postgres}/__init__.py (100%) diff --git a/database/create.sql b/database/create.sql new file mode 100644 index 0000000..dca07fa --- /dev/null +++ b/database/create.sql @@ -0,0 +1,26 @@ +CREATE TABLE IF NOT EXISTS ls.production_order ( + "Suchschluessel" TEXT PRIMARY KEY, -- ERP, eindeutiger key für einen Auftrag + "Grund der Ausloesung Beschreibung" TEXT, -- ERP, nicht relevant + "Produktionsplan Name" TEXT, -- ERP, nicht relevant + "Produktionsplan Suchschluessel" TEXT, -- ERP, nicht relevant "Suchschluessel" im Frontend + "Status" TEXT, -- ERP, entweder "CL", oder "OR". Zur zeit wollen wir bei uns nur Aufträge mit Status "OR" anschauen + "Freigabe" TEXT, -- ERP, "N" oder "Y", wir schauen nur Aufträge mit "Y" an + "Startdatum" TEXT, -- ERP + "Enddatum" TEXT, -- ERP + "Arbeitsgang_Arbeitsanweisung" TEXT, -- ERP, nicht relevant + "Arbeitsgang_Artikelname" TEXT, -- ERP, das zeigen wir im Frontend unter "Artikelname" an + "Arbeitsgang_Artikelnummer" TEXT, -- ERP, das zeigen wir im Frontend unter "Artikelnummer" an + "Arbeitsgang_Menge" TEXT, -- ERP, das zeigen wir im Frontend unter "Menge" an + "Arbeitsgang_Rohmaterial" TEXT, -- ERP, Json, Liste mit Rohmaterialien. Wir klassifizieren das mittels regex und zeigen die Klassen für Material und Form an (siehe ret_materials und ret_forms). Außerdem steht hier manchmal noch ein größe mit dabei (siehe ret_dim_1) + "ret_forms" TEXT, -- KMI, Form des Rohmaterials, das zeigen wir im Frontend unter "Form" an + "ret_materials" TEXT, -- KMI, Rohmaterial, das zeigen wir im Frontend unter "Material" an + "ret_dim_1" INTEGER, -- KMI, Länge des Rohmaterials, das zeigen wir im Frontend unter "Dim1 an + "Bestelldatum" TEXT, -- ERP + "Kunden-ID" TEXT, -- ERP + "Kundenprioritaet" INTEGER, -- ERP + "order" INTEGER, -- KMI, Reihenfolge die durch unsere Heuristik berechnet wurde + "clusters" INTEGER, -- KMI, wir clustern die Aufträge nach material und form + "chunk_id" INTEGER, -- KMI Aufträge mit ähnlicher "prio" werden in chunks zusammengefasst, sodass man innerhalb dieser chunks nach cluster sortieren kann (siehe chunk 7 im bild unten). So werden Rüstzeiten minimiert. + "prio" FLOAT, -- KMI prioritäts score für den Auftrag auf Basis von Kundenprioritaet und Enddatum + "erfassungspunkt" TEXT +); \ No newline at end of file diff --git a/pdm.lock b/pdm.lock index b51eab3..a318d77 100644 --- a/pdm.lock +++ b/pdm.lock @@ -5,7 +5,7 @@ groups = ["default", "dev", "lint", "nb", "tests"] strategy = ["inherit_metadata"] lock_version = "4.5.0" -content_hash = "sha256:3a107981dc4305f031f87c89e3a57a6bb823954d397a52d074fef1c72ac639d0" +content_hash = "sha256:e2ae321e3a1a60b798f31e8215052031fd4d08c5175ebe6b87a6391df86214ae" [[metadata.targets]] requires_python = ">=3.11" @@ -820,6 +820,85 @@ files = [ {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, ] +[[package]] +name = "greenlet" +version = "3.5.1" +requires_python = ">=3.10" +summary = "Lightweight in-process concurrent programming" +groups = ["default"] +files = [ + {file = 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--git a/prototpyes/01_connect.py b/prototpyes/01_connect.py new file mode 100644 index 0000000..8047b63 --- /dev/null +++ b/prototpyes/01_connect.py @@ -0,0 +1,160 @@ +# %% +import dataclasses as dc +import datetime +import os +import random +from pprint import pprint + +import dotenv +import psycopg +import sqlalchemy as sql + +dotenv.load_dotenv() + +# %% +DB_HOST = os.getenv("POSTGRES_HOST", None) +DB_PORT = os.getenv("POSTGRES_PORT", None) +DB_USER = os.getenv("POSTGRES_USER", None) +DB_PASS = os.getenv("POSTGRESS_PASS", None) +assert DB_HOST +assert DB_PORT +assert DB_USER +assert DB_PASS + +RNG = random.Random(42) +CONN_STRING = f"postgresql+psycopg://{DB_USER}:{DB_PASS}@{DB_HOST}:{DB_PORT}/ls" +# conn_info = "dbname=deine_db user=postgres password=dein_passwort host=localhost port=5432" + +# %% +metadata = sql.MetaData() +prod_order_t = sql.Table( + "production_order", + metadata, + sql.Column("Suchschluessel", sql.Text, primary_key=True), + sql.Column("Grund_der_Ausloesung_Beschreibung", sql.Text), + sql.Column("Produktionsplan_Name", sql.Text), + sql.Column("Produktionsplan_Suchschluessel", sql.Text), + sql.Column("Status", sql.Text), + sql.Column("Freigabe", sql.Text), + sql.Column("Startdatum", sql.Text), + sql.Column("Enddatum", sql.Text), + sql.Column("Arbeitsgang_Arbeitsanweisung", sql.Text), + sql.Column("Arbeitsgang_Artikelname", sql.Text), + sql.Column("Arbeitsgang_Artikelnummer", sql.Text), + sql.Column("Arbeitsgang_Menge", sql.Text), + sql.Column("Arbeitsgang_Rohmaterial", sql.Text), + sql.Column("ret_forms", sql.Text), + sql.Column("ret_materials", sql.Text), + sql.Column("ret_dim_1", sql.Integer), + sql.Column("Bestelldatum", sql.Text), + sql.Column("Kunden_ID", sql.Text), + sql.Column("Kundenprioritaet", sql.Integer), + sql.Column("order", sql.Integer), + sql.Column("clusters", sql.Integer), + sql.Column("chunk_id", sql.Integer), + sql.Column("prio", sql.Float), + sql.Column("erfassungspunkt", sql.Text), + schema="ls", +) + + +# %% +@dc.dataclass(slots=True, kw_only=True) +class DbEntry: + Suchschluessel: str + Grund_der_Ausloesung_Beschreibung: str + Produktionsplan_Name: str + Produktionsplan_Suchschluessel: str + Status: str + Freigabe: str + Startdatum: str + Enddatum: str + Arbeitsgang_Arbeitsanweisung: str + Arbeitsgang_Artikelname: str + Arbeitsgang_Artikelnummer: str + Arbeitsgang_Menge: str + Arbeitsgang_Rohmaterial: str + ret_forms: str + ret_materials: str + ret_dim_1: int + Bestelldatum: str + Kunden_ID: str + Kundenprioritaet: int + order: int + clusters: int + chunk_id: int + prio: float + erfassungspunkt: str + + +def random_prod_no() -> str: + num = RNG.randint(100000, 9999999) + return f"PRO{num}WS" + + +def random_entry() -> DbEntry: + _prod_no = random_prod_no() + prod_no = f"random__{_prod_no}" + dummy = "DUMMY" + datestr = datetime.datetime.now().date().isoformat() + rand_prio = RNG.randint(1, 10) / 10 + + return DbEntry( + Suchschluessel=prod_no, + Grund_der_Ausloesung_Beschreibung=dummy, + Produktionsplan_Name=prod_no, + Produktionsplan_Suchschluessel=prod_no, + Status="test", + Freigabe="N", + Startdatum=datestr, + Enddatum=datestr, + Arbeitsgang_Arbeitsanweisung="TEST", + Arbeitsgang_Artikelname="TEST", + Arbeitsgang_Artikelnummer="TEST_ARTIKEL", + Arbeitsgang_Menge="TEST_MENGE", + Arbeitsgang_Rohmaterial="ROHMATERIAL_XYZ", + ret_forms="FORMS", + ret_materials="MATERIALS", + ret_dim_1=1200, + Bestelldatum=datestr, + Kunden_ID=f"KUNDE_{prod_no}", + Kundenprioritaet=2, + order=2, + clusters=3, + chunk_id=4, + prio=rand_prio, + erfassungspunkt="erfassungspunkt_xyz_dummy", + ) + + +# %% +engine = sql.create_engine(CONN_STRING, echo=True) +# %% +stmt = sql.text("SELECT * FROM ls.production_order") +with engine.connect() as conn: + res = conn.execute(stmt) + +results = res.all() +# %% +pprint(list(res.keys())) +# for entry in list(res.keys()): +# print(f"{entry}: str") +# %% +NUM_DATAPOINTS = 100 +_insert_data = [random_entry() for _ in range(NUM_DATAPOINTS)] +insert_data = [dc.asdict(x) for x in _insert_data] + +stmt = sql.insert(prod_order_t) + +with engine.begin() as conn: + res = conn.execute(stmt, insert_data) + +# %% +stmt = sql.text("TRUNCATE ls.production_order;") + +with engine.begin() as conn: + conn.execute(stmt) + +# %% +engine.dispose() +# %% diff --git a/pyproject.toml b/pyproject.toml index 4798b10..a357971 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,7 +5,7 @@ description = "PLEASE ADD PROJECT DESCRIPTION" authors = [ {name = "PLEASE ADD AUTHOR", email = "PLEASE ADD EMAIL ADDRESS"}, ] -dependencies = [] +dependencies = ["psycopg[binary,pool]>=3.3.4", "python-dotenv>=1.2.2", "sqlalchemy[asyncio]>=2.0.50"] requires-python = ">=3.11" readme = "README.md" license = {text = "LicenseRef-Proprietary"} diff --git a/src/py311/__init__.py b/src/kmi_wb_postgres/__init__.py similarity index 100% rename from src/py311/__init__.py rename to src/kmi_wb_postgres/__init__.py