issue #1083 duplicate wells (#1086)

Fixes #1083 

# Description
When importing wells, we now make sure that when the ipf file defines 2
or more wells with the same x, y , filter_top, filter_bottom and id,
then the ID of the second well is appended with "_1", and so on for
successive findings of a well with the same characteristics (_2, _3
etc).

# Checklist

- [X] Links to correct issue
- [ ] Update changelog, if changes affect users
- [X] PR title starts with ``Issue #nr``, e.g. ``Issue #737``
- [X] Unit tests were added
- [ ] **If feature added**: Added/extended example

imod/formats/prj/prj.py

@@ -3,6 +3,7 @@
 """
 
 import shlex
+import textwrap
 from collections import defaultdict
 from datetime import datetime
 from itertools import chain
@@ -15,6 +16,8 @@
 import xarray as xr
 
 import imod
+import imod.logging
+from imod.logging.loglevel import LogLevel
 
 FilePath = Union[str, "PathLike[str]"]
 
@@ -784,6 +787,11 @@ def _read_package_ipf(
 ) -> Tuple[List[Dict[str, Any]], List[datetime]]:
     out = []
     repeats = []
+
+    # we will store in this set the tuples of (x, y, id, well_top, well_bot)
+    # which should be unique for each well
+    imported_wells = {}
+
     for entry in block_content["ipf"]:
         timestring = entry["time"]
         layer = entry["layer"]
@@ -822,6 +830,34 @@ def _read_package_ipf(
                 if "filt_top" in row._fields and "filt_bot" in row._fields:
                     df_assoc["filt_top"] = row.filt_top
                     df_assoc["filt_bot"] = row.filt_bot
+
+                well_characteristics = (
+                    row[1],
+                    row[2],
+                    path_assoc.stem,
+                    row.filt_top,
+                    row.filt_bot,
+                )
+                if well_characteristics not in imported_wells.keys():
+                    imported_wells[well_characteristics] = 0
+                else:
+                    suffix = imported_wells[well_characteristics] + 1
+                    imported_wells[well_characteristics] = suffix
+                    df_assoc["id"] = df_assoc["id"] + f"_{suffix}"
+
+                    log_message = textwrap.dedent(
+                        f"""A well with the same x, y, id, filter_top and filter_bot was already imported.
+                    This happened at x  = {row[1]}, y = { row[2]}, id = {path_assoc.stem}
+                    Now the ID for this new well was appended with the suffix  _{suffix})
+                    """
+                    )
+
+                    imod.logging.logger.log(
+                        loglevel=LogLevel.WARNING,
+                        message=log_message,
+                        additional_depth=2,
+                    )
+
                 dfs.append(df_assoc)
             df = pd.concat(dfs, ignore_index=True, sort=False)
         df["rate"] = df["rate"] * factor + addition

imod/tests/test_mf6/test_import_prj.py

@@ -1,11 +1,15 @@
+import sys
 from textwrap import dedent
 from zipfile import ZipFile
 
 import numpy as np
 from numpy.testing import assert_allclose
 
+import imod
 from imod.data.sample_data import create_pooch_registry, load_pooch_registry
 from imod.formats.prj import open_projectfile_data
+from imod.logging.config import LoggerType
+from imod.logging.loglevel import LogLevel
 
 registry = create_pooch_registry()
 registry = load_pooch_registry(registry)
@@ -200,6 +204,55 @@ def test_import_ipf(tmp_path):
     assert np.all(result_snippet_1[0]["wel-3"]["dataframe"]["filt_bot"] == 6.0)
 
 
+def test_import_ipf_unique_id_and_logging(tmp_path):
+    with ZipFile(fname_model) as archive:
+        archive.extractall(tmp_path)
+
+    logfile_path = tmp_path / "logfile.txt"
+
+    try:
+        with open(logfile_path, "w") as sys.stdout:
+            # start logging
+            imod.logging.configure(
+                LoggerType.PYTHON,
+                log_level=LogLevel.WARNING,
+                add_default_file_handler=False,
+                add_default_stream_handler=True,
+            )
+            projects_file = tmp_path / "iMOD5_model_pooch" / "iMOD5_model.prj"
+
+            file1 = open(projects_file, "w")
+            file1.write(
+                snippet_gen_import_ipf(
+                    factor1=2.0, addition1=1.3, factor2=-1.0, addition2=0.0
+                )
+            )
+            file1.close()
+
+            # Act
+            result_snippet_1 = open_projectfile_data(projects_file)
+    finally:
+        # turn the logger off again
+        imod.logging.configure(
+            LoggerType.NULL,
+            log_level=LogLevel.WARNING,
+            add_default_file_handler=False,
+            add_default_stream_handler=False,
+        )
+
+    # test that id's were made unique
+    # Assert
+    assert np.all(result_snippet_1[0]["wel-1"]["dataframe"]["id"] == "extractions")
+    assert np.all(result_snippet_1[0]["wel-2"]["dataframe"]["id"] == "extractions_1")
+    assert np.all(result_snippet_1[0]["wel-3"]["dataframe"]["id"] == "extractions_2")
+
+    with open(logfile_path, "r") as log_file:
+        log = log_file.read()
+        assert "This happened at x  = 197910, y = 362860, id = extractions" in log
+        assert "appended with the suffix  _1" in log
+        assert "appended with the suffix  _2" in log
+
+
 def snippet_boundary_condition(factor: float, addition: float):
     return dedent(f"""\
         0001,(CHD),1, Constant Head