Further improvements to exception messages

Author: turukawa

CHANGELOG

@@ -1,3 +1,8 @@
+- 1.1.3: Improving exception error messages to be more helpful.
+- 1.1.2: Fixes for `CATEGORY` parser for ambiguous term names.
+- 1.1.1: Fixes for action parser where field names contain ambiguous characters.
+- 1.1.0: Fixes to tests
+- 1.0.9: New `COLLATE` action, and a tutorial to demonstrate it.
 - 1.0.8: CategoryModel terms now use StrictBool to avoid Pydantic's liberal interpretation of booleans.
 - 1.0.7: Minor fix.
 - 1.0.6: Minor fix.

docs/changelog.md

@@ -8,10 +8,14 @@ tags: wrangling, crosswalks, versions
 ---
 # Change log
 
+## Version 1.1.3 (2024-03-08)
+
+- Continuing to improve exception error messages to be more helpful.
+
 ## Version 1.1.2 (2024-03-08)
 
-- Improved CATEGORISE action parser to handle greater variety of text edge cases (especially comma-separated terms).
-- More helpful error messages for TypeError coercision problems where a specified type mismatch occurs.
+- Improved `CATEGORISE` action parser to handle greater variety of text edge cases (especially comma-separated terms).
+- More helpful error messages for `TypeError` coercion problems where a specified type mismatch occurs.
 
 ## Version 1.1.1 (2024-02-12)
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "whyqd"
-version = "1.1.2"
+version = "1.1.3"
 description = "data wrangling simplicity, complete audit transparency, and at speed"
 authors = ["Gavin Chait <gchait@whythawk.com>"]
 license = "BSD-3-Clause"

whyqd/VERSION

@@ -1 +1 @@
-1.1.2
+1.1.3

whyqd/parsers/datasource.py

@@ -247,7 +247,7 @@ def coerce_to_schema(self, *, df: pd.DataFrame, schema: Type[SchemaDefinition])
                         df[c.name] = self.coerce_column_to_dtype(column=_pd.Series(df[c.name].to_numpy()), coerce=prospect.dtype)
                         validate["coerced"].append(c.name)
                     df[c.name] = _pd.Series(df[c.name].to_numpy()).astype(FieldType(prospect.dtype).astype)
-                except TypeError:
+                except (TypeError, SyntaxError, ValueError):
                     from_type = c.dtype
                     if isinstance(df[c.name][0], list):
                         from_type = "array"