Feature/new api for model database

[ryan-kipawa]

A new fluent-like API is introduced in this PR for working with the MIKE+ database.

Main changes:

• DataTableAccess will be replaced by Database. It's a cleaner implementation with more thorough testing. DataTableAccess would become legacy, but kept around for a while since others are using it.
• Table classes are autogenerated for each table in the database, which are accessed though a table collection on Database.tables
• Each table class has a flexible, fluent-like API with select, insert, update, and delete (with various conditions).
• Each table class has a columns attribute for get an enum of possible column values
• Conversion logic between .NET pythonnet objects and python has been centralized a bit more

I think this structure will also allow for future extension in an easy way, since it loosely follows the MIKE+ design.

Closes:
#90
#35
#44
#27
#17

Here's a brief comparison of the old vs new API:

Opening database

Old API

data_access = DataTableAccess("model.sqlite")
data_access.open_database()

# Close when done
data_access.close_database()

New API

# Initialize with auto_open=True (the default)
db = Database("model.sqlite")
# Close when done
db.close()

# Or use context manager for automatic open/close
with Database("model.sqlite") as db:
    # Work with database
    pass

Querying Data

Old API

# Get all MUIDs in a table
muids = data_access.get_muid_where("msm_Link")

# Get specific fields for a single record
fields = ["Diameter", "Length", "FromNode"]
values = data_access.get_field_values("msm_Link", "Link_2", fields)

# Get values for all records with a condition
result = data_access.get_muid_field_values("msm_Link", fields, "Diameter > 1.0")

New API

# Access a table through the tables collection
link_table = db.tables.msm_Link

# Get all MUIDs with optional ordering
muids = link_table.get_muids(order_by="Diameter", descending=False)

# Query with chainable methods
result = link_table.select(["Diameter", "Length", "FromNode"]) \
                  .where("Diameter > 1.0") \
                  .order_by("MUID") \
                  .execute()

# Convert to pandas DataFrame
df = link_table.select(["Diameter", "Length"]) \
              .to_pandas()

# Parameterized where statements
min_diameter = 0.5
result = link_table.select() \
                  .where("Diameter > :min_diameter", {"min_dimaeter" : min_diameter}) \
                  .to_pandas()

Inserting Data

Old API

# Insert a new record
values = {
    'Diameter': 2.0, 
    'Description': 'New pipe', 
    'geometry': "LINESTRING (3 4, 10 50, 20 25)"
}
data_access.insert("msm_Link", "new_link_1", values)

New API

# Insert using chainable methods
db.tables.msm_Link.insert({
    "MUID" : "new_link_1",
   "Diameter" : 2.0,
    "Description" : "New pipe",
    "geometry" : "LINESTRING (3 4, 10 50, 20 25)"
})

# Or auto-generate the MUID
db.tables.msm_Link.insert({
    "Diameter" : 2.0,
    "Description" : "New pipe",
    "geometry" : "LINESTRING (3 4, 10 50, 20 25)"
})

Deleting Data

Old API

# Delete a record
data_access.delete("msm_Link", "Link_2")

New API

# Delete using chainable methods
db.tables.msm_Link.delete() \
    .where("MUID = 'Link_2'") \
    .execute()

# Safety feature - to delete all records, must explicitly call all()
db.tables.msm_Link.delete() \
    .all() \
    .execute()