From 97ccf628e568bf9f4951c33ffae820ae3c78d30d Mon Sep 17 00:00:00 2001
From: syntron <syntron@web.de>
Date: Fri, 6 Mar 2026 20:13:57 +0100
Subject: [PATCH 1/2] [ModelicaSystemABC] define setInputCSV() - function to
 define input based on the content of a CSV file

---
 OMPython/modelica_system_abc.py | 39 +++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/OMPython/modelica_system_abc.py b/OMPython/modelica_system_abc.py
index ea0a90a8..72665fd4 100644
--- a/OMPython/modelica_system_abc.py
+++ b/OMPython/modelica_system_abc.py
@@ -5,6 +5,7 @@
 
 import abc
 import ast
+import csv
 from dataclasses import dataclass
 import logging
 import numbers
@@ -998,6 +999,44 @@ def setInputs(
 
         return True
 
+    def setInputsCSV(
+            self,
+            csvfile: os.PathLike,
+    ) -> None:
+        """
+        Read content from a CSV file and use it to define the time based input data.
+        """
+
+        # real type is 'dict[str, list[tuple[float, float]]]' - 'dict[str, Any]' is used to make setInputs() happy
+        inputs: dict[str, Any] = {}
+        try:
+            with open(csvfile, newline='') as csvfh:
+                dialect = csv.Sniffer().sniff(csvfh.read(1024))
+                csvfh.seek(0)
+                reader = csv.DictReader(csvfh, dialect=dialect)
+
+                keys: list[str] = []
+                for idx, line in enumerate(reader):
+                    if not keys:
+                        keys = list(line.keys())
+                        for var in keys[1:]:
+                            if var in inputs:
+                                raise ModelicaSystemError(f"Error reading {csvfile}: duplicated column {var}!")
+                            inputs[var] = []
+                    try:
+                        # use key[0] as time; all other columns use the header as name
+                        for var in keys[1:]:
+                            inputs[var].append((float(line[keys[0]]), float(line[var])))
+                    except (ValueError, TypeError) as exc2:
+                        raise ModelicaSystemError(f"Invalid value reading {csvfile} line {idx}/{var}: "
+                                                  f"{line}!") from exc2
+
+        except IOError as exc1:
+            raise ModelicaSystemError(f"Error reading {csvfile}: {exc1}") from exc1
+
+        if inputs:
+            self.setInputs(**inputs)
+
     def _createCSVData(self, csvfile: Optional[OMPathABC] = None) -> OMPathABC:
         """
         Create a csv file with inputs for the simulation/optimization of the model. If csvfile is provided as argument,

From 3531b587f8c35078ab67756ff08c94bfc81e40e2 Mon Sep 17 00:00:00 2001
From: syntron <syntron@web.de>
Date: Wed, 1 Apr 2026 22:55:31 +0200
Subject: [PATCH 2/2] add toInputs() - convert pandas
 DataFrame.to_dict(orient='list') output to OMPython input

based on code written by joewa (see https://github.com/OpenModelica/OMPython/pull/447#issuecomment-4101449288)
---
 OMPython/modelica_system_abc.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)

diff --git a/OMPython/modelica_system_abc.py b/OMPython/modelica_system_abc.py
index 72665fd4..15261141 100644
--- a/OMPython/modelica_system_abc.py
+++ b/OMPython/modelica_system_abc.py
@@ -937,6 +937,29 @@ def setOptimizationOptions(
             datatype="optimization-option",
             overridedata=None)
 
+    @staticmethod
+    def toInputs(data: dict[str, list[float]]) -> dict[str, list[tuple[float, float]]]:
+        """
+        Converts a dictionary of lists (from pandas DataFrame.to_dict(orient='list'))
+        into the OMPython setInputs input format.
+
+        Example: mod.setInputs(**toInputs(pdf.to_dict(orient='list')))
+
+        Assumes the dictionary contains a key named 'time'.
+        """
+        if "time" not in data:
+            raise ValueError("The provided data must contain a 'time' key.")
+
+        time_series = data["time"]
+
+        inputs = {
+            var_name: list(zip(time_series, values))
+            for var_name, values in data.items()
+            if var_name != "time"
+        }
+
+        return inputs
+
     def setInputs(
             self,
             *args: Any,