feat(src): replace convert.py to src/data_preprocessing.py and fix some functions prefix parameter

code/src/data_preprocessing.py

@@ -25,18 +25,18 @@ class DamageFilesIndices(TypedDict):
     damage_index: int
     files: List[str]
 
-def complement_pairs(n):
+def complement_pairs(n, prefix, extension):
     """
     Return the four complement tuples for zzzBD<n>.TXT
     """
-    filename = f"zzzAD{n}.TXT" # TODO: shouldnt be hardcoded
+    filename = f"{prefix}{n}.{extension}" # TODO: shouldnt be hardcoded
     orig_a   = (n - 1) % 5 + 1                # 1 … 5
     for a in range(1, 6):              # a = 1 … 5
         if a != orig_a:                # skip original a
             yield (filename, [a, a + 25]) # use yield instead of return to return a generator of tuples
 
-def generate_df_tuples(total_dfs=30, group_size=5, prefix="zzzAD", extension="TXT", first_col_start=1, last_col_offset=25, 
-                      special_groups=None, group=True):
+def generate_df_tuples(total_dfs, prefix, extension, first_col_start, last_col_offset, 
+                      group_size=5, special_groups=None, group=True):
     """
     Generate a structured list of tuples containing DataFrame references and column indices.
     
@@ -46,7 +46,7 @@ def generate_df_tuples(total_dfs=30, group_size=5, prefix="zzzAD", extension="TX
         Total number of DataFrames to include in the tuples
     group_size : int, default 5
         Number of DataFrames in each group (determines the pattern repeat)
-    prefix : str, default "df"
+    prefix : str
         Prefix for DataFrame variable names
     first_col_start : int, default 1
         Starting value for the first column index (1-indexed)
@@ -70,7 +70,7 @@ def generate_df_tuples(total_dfs=30, group_size=5, prefix="zzzAD", extension="TX
             group = []
             for i in range(1, 6):         # TODO: shouldnt be hardcoded
                 n = g * 5 + i
-                bottom_end = i                     # 1, 2, 3, 4, 5
+                bottom_end = i                           # 1, 2, 3, 4, 5
                 top_end = bottom_end + 25                # 26, 27, 28, 29, 30 # TODO: shouldnt be hardcoded
                 group.append((f"{prefix}{n}.{extension}", [bottom_end, top_end]))
             result.append(group)