This module's script had three parts: create a new file geodatabase, copy an existing set of shapefiles into it, then use search cursors to extract and reorganize data from one of those feature classes. First as a filtered printout, then as a populated dictionary.
The first part used CreateFileGDB_management() to create the geodatabase, then looped through every feature class in the source workspace with CopyFeatures_management(), printing a success message and elapsed time for each copy, which is useful for confirming nothing silently failed partway through a batch operation.
The second part used a SearchCursor with an embedded SQL where-clause to pull only the "County Seat" features out of a cities shapefile, printing each city's name, feature type, and circa-2000 population. One thing I noticed working with the data: a few cities show a population of -99999, which is a placeholder for missing/unavailable data rather than an actual value, which is worth flagging if this feature class were used downstream, since a naive average or sum would be badly skewed by it.
This part of the script uses SQL within the SearchCursor to only search for County Seat feature types within the cities attribute table. Using row.getValue() and defined variables, I was able to print each set of data. Below is a summarized flowchart of this section of the script.
The third part is where I hit the most interesting bug of the module. I needed to populate a dictionary (county_seats) using the same cursor logic, but it kept returning an empty dictionary. My first guess was a workspace path issue, which I fixed, but the dictionary still only returned a single entry ({'Carlsbad': 25625}) instead of the full set. I'd assumed that deleting the cursor's current row (del row) was sufficient cleanup between cursor uses, but the real issue was that I hadn't deleted the cursor object itself. Python was holding onto the exhausted cursor from the previous step, so the new loop had nothing left to iterate over. Once I deleted the cursor properly and re-created a fresh one for this step, the dictionary populated correctly with all city entries.
I ended up using the <dictionary_variable>[key] = value method to populate the county_seats dictionary. This final part of the script has a similar flowchart as part B does.
I also split one long print statement across multiple concatenated lines (city name / feature type / population) for readability. It was a small style choice, but one that made the script easier to scan when I came back to it later.
