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WalkthroughThe changes across multiple modules update empty and None checks for internal data structures to use more Pythonic and defensive patterns. Explicit length comparisons are replaced with truthiness checks, and length calculations are guarded to return zero when the underlying attribute is None. Some assertion constants in metadata field properties are updated to reflect new expected values. No new features or major logic changes are introduced. Changes
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Actionable comments posted: 0
🧹 Nitpick comments (3)
src/pump/_db.py (2)
333-338: Consider simplifying the complex logging expression.While the None safety is good, the logging statement has become quite complex and hard to read.
Consider refactoring for better readability:
- _logger.info( - f"Table [{table_name}]: v5:[{len(vals5) if vals5 is not None else 0}], " - f"v7:[{len(vals7) if vals7 is not None else 0}]\n" - f" {too_many_5 or ''}only in v5:[{(only_in_5[:LIMIT] if only_in_5 else [])}]\n" - f" {too_many_7 or ''}only in v7:[{(only_in_7[:LIMIT] if only_in_7 else [])}]" - ) + vals5_len = len(vals5) if vals5 is not None else 0 + vals7_len = len(vals7) if vals7 is not None else 0 + only_in_5_display = only_in_5[:LIMIT] if only_in_5 else [] + only_in_7_display = only_in_7[:LIMIT] if only_in_7 else [] + + _logger.info( + f"Table [{table_name}]: v5:[{vals5_len}], v7:[{vals7_len}]\n" + f" {too_many_5 or ''}only in v5:[{only_in_5_display}]\n" + f" {too_many_7 or ''}only in v7:[{only_in_7_display}]" + )
351-351: Consider simplifying the complex conditional expression.The conditional expression is difficult to read and understand.
Consider breaking it down for better readability:
- if (only_in_5 and len(only_in_5) or 0) + (only_in_7 and len(only_in_7) or 0) == 0: + len_only_in_5 = len(only_in_5) if only_in_5 else 0 + len_only_in_7 = len(only_in_7) if only_in_7 else 0 + if len_only_in_5 + len_only_in_7 == 0:src/pump/_bitstreamformatregistry.py (1)
38-40: Consider applying the same pattern as other files.Other files in this PR changed from
len(self._collection) == 0tonot self._collectionfor consistency and better None handling. Consider applying the same pattern here.- if len(self) == 0: + if not self._reg:This would be more consistent with the changes in other files and would handle the case where
self._regis None more gracefully.
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📒 Files selected for processing (17)
src/pump/_bitstream.py(4 hunks)src/pump/_bitstreamformatregistry.py(1 hunks)src/pump/_bundle.py(2 hunks)src/pump/_collection.py(2 hunks)src/pump/_community.py(2 hunks)src/pump/_db.py(7 hunks)src/pump/_eperson.py(3 hunks)src/pump/_group.py(3 hunks)src/pump/_handle.py(4 hunks)src/pump/_item.py(12 hunks)src/pump/_license.py(3 hunks)src/pump/_metadata.py(1 hunks)src/pump/_registrationdata.py(1 hunks)src/pump/_resourcepolicy.py(4 hunks)src/pump/_tasklistitem.py(1 hunks)src/pump/_usermetadata.py(3 hunks)src/pump/_userregistration.py(1 hunks)
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🧬 Code Graph Analysis (2)
src/pump/_handle.py (1)
src/pump/_item.py (1)
items(7-619)
src/pump/_item.py (1)
src/pump/_utils.py (1)
read_json(11-20)
🔇 Additional comments (52)
src/pump/_db.py (6)
77-78: LGTM - Good defensive programming.The addition of
(sql_text or "")prevents potential AttributeError ifsql_textis None.
188-192: LGTM - Improved robustness.The new implementation of
get_list_valis much safer, handling both None input and index bounds checking properly.
322-325: LGTM - Good None safety.The None checks prevent potential AttributeError when accessing the length of
only_in_5andonly_in_7.
362-363: LGTM - Good approach to pre-calculate lengths.Storing the lengths in variables with None-safe defaults improves both readability and performance.
374-377: LGTM - Good defensive programming.The None-safe defaults (
vals5 or [],cols5 or []) prevent potential TypeError when the collections are None.
432-432: LGTM - More Pythonic style.The change from
len(defin) == 0tonot definis more idiomatic Python and handles both empty collections and None values.src/pump/_tasklistitem.py (2)
20-20: LGTM - More Pythonic empty check.The change from
len(self._tasks) == 0tonot self._tasksis more idiomatic and handles both empty collections and None values safely.
25-25: LGTM - Good defensive programming.The None check prevents potential TypeError if
self._tasksis None and provides a sensible default of 0.src/pump/_userregistration.py (2)
23-23: LGTM - Consistent defensive programming.The change to
not self._urfollows the same pattern as other files and is more Pythonic.
28-28: LGTM - Good None safety.The None check in
__len__prevents potential TypeError and maintains consistency with other similar classes.src/pump/_registrationdata.py (2)
26-26: LGTM - Consistent pattern.The change to
not self._rdmaintains consistency with the defensive programming improvements across the codebase.
31-31: LGTM - Good defensive programming.The None safety in
__len__prevents potential errors and follows the established pattern.src/pump/_bitstreamformatregistry.py (1)
43-43: LGTM - Consistent defensive programming.The None safety in
__len__follows the same pattern as other files and prevents potential TypeError.src/pump/_collection.py (2)
40-46: LGTM: Improved Pythonic checks for empty collections.The changes from explicit length checks to truthiness checks are more idiomatic Python and handle both empty collections and None values gracefully.
61-61: LGTM: Added defensive programming to len method.The conditional check prevents potential AttributeError when
_colis None, improving code robustness.src/pump/_bundle.py (2)
26-28: LGTM: Improved Pythonic check for empty bundles.The truthiness check is more idiomatic and handles both empty collections and None values.
41-41: LGTM: Added defensive programming to len method.The conditional check prevents potential AttributeError when
_bundlesis None.src/pump/_license.py (3)
53-59: LGTM: Improved Pythonic checks for empty collections.The truthiness checks are more idiomatic and handle both empty collections and None values gracefully across all three attributes.
61-61: LGTM: Added defensive programming to len method.The conditional check prevents potential AttributeError when
_labelsis None.
80-80: LGTM: Added defensive programming to expected count calculations.The conditional checks prevent potential AttributeError when
_labelsor_licensesare None, ensuring the expected count is always a valid integer.Also applies to: 126-126
src/pump/_group.py (2)
88-92: LGTM: Improved Pythonic checks for empty collections.The truthiness checks are more idiomatic and handle both empty collections and None values gracefully.
152-152: LGTM: Added defensive programming to expected count calculations.The conditional checks prevent potential AttributeError when
_epersonor_g2gare None, ensuring the expected count is always a valid integer.Also applies to: 204-204
src/pump/_resourcepolicy.py (4)
40-41: LGTM: Improved Pythonic check for empty resource policies.The truthiness check is more idiomatic and handles both empty collections and None values.
50-50: LGTM: Added defensive programming to len method.The conditional check prevents potential AttributeError when
_respolis None.
92-92: LGTM: Added defensive programming to validation check.The conditional check prevents potential AttributeError when
dspace_actionsis None, ensuring the validation doesn't fail unexpectedly.
124-125: LGTM: Improved Pythonic check for empty group list.The truthiness check is more idiomatic and handles both empty collections and None values.
src/pump/_handle.py (2)
32-32: Excellent defensive programming improvement.The
__len__method now safely handles the case where_handlesmight beNone, preventing potentialTypeErrorexceptions.
63-63: Good defensive fallbacks for safe iteration.Adding
or []fallbacks ensures that iteration over the results ofget_handles_by_typewill always work, even if the method returnsNone. This prevents potentialTypeErrorexceptions during iteration.Also applies to: 72-72, 86-86
src/pump/_community.py (3)
37-37: Defensive programming improvement for length calculation.The
__len__method now safely handles the case where_commight beNone, preventing potential runtime errors.
82-82: Enhanced validation with explicit None check.The condition now properly handles the case where
arrmight beNonebefore checking its length, making the validation more robust.
90-90: More robust loop condition.Adding an explicit check for
comsbeing truthy before checking its length prevents potential issues ifcomsbecomesNoneduring execution.src/pump/_usermetadata.py (3)
22-22: Excellent use of Pythonic truthiness checks.Replacing explicit length checks with
if not collectionis more idiomatic Python and handles both empty collections andNonevalues gracefully.Also applies to: 25-25, 28-28
47-47: Defensive programming improvement for length calculation.The
__len__method now safely handles the case where_umetamight beNone, preventing potentialTypeErrorexceptions.
59-60: Safe length calculation prevents runtime errors.Using a ternary operator to handle the case where
_umeta_transid2umsmight beNoneis a good defensive programming practice.src/pump/_item.py (8)
58-58: Excellent use of Pythonic truthiness checks.Replacing explicit length checks with
if not collectionis more idiomatic Python and handles both empty collections andNonevalues gracefully.Also applies to: 62-62, 66-66, 70-70
97-97: Defensive programming improvement for length calculation.The
__len__method now safely handles the case where_itemsmight beNone, preventing potentialTypeErrorexceptions.
225-225: Safe length calculations prevent runtime errors.Using ternary operators to handle cases where collections might be
Noneis excellent defensive programming that prevents potential runtime errors.Also applies to: 239-239, 268-268
348-349: Robust list comprehension with None safety.The nested ternary operator ensures safe handling when
_col_id2uuidmight beNone, preventing potential runtime errors during list comprehension.
465-468: Minor SQL formatting improvement.The alignment of the SQL query improves readability without changing functionality.
548-548: More Pythonic boolean logic.Using
if not newer_versions and not previous_versionsis more readable and Pythonic than explicit length comparisons.
597-597: Improved conditional checks using truthiness.Using truthiness checks instead of explicit length comparisons is more Pythonic and handles edge cases better.
Also applies to: 615-615
409-410: Safe length calculations in logging statements.Adding None checks in logging statements prevents potential runtime errors and ensures logging always works correctly.
Also applies to: 478-479, 599-599
src/pump/_eperson.py (2)
58-58: Excellent use of Pythonic truthiness checks.Replacing explicit length checks with
if not collectionis more idiomatic Python and handles both empty collections andNonevalues gracefully.Also applies to: 163-163
69-69: Defensive programming improvements for length calculations.Both
__len__methods now safely handle cases where the underlying data structures might beNone, preventing potentialTypeErrorexceptions.Also applies to: 168-168
src/pump/_bitstream.py (4)
51-53: LGTM: More Pythonic empty/None checkThe change from explicit length comparison to truthiness check is a good improvement. This pattern handles both empty collections and None values more elegantly.
61-61: LGTM: Defensive None-safe length calculationThe None-safe
__len__implementation prevents potential AttributeError exceptions and aligns with the defensive programming pattern adopted throughout the codebase.
106-106: Note: Redundant but harmless None checkThe None check is technically redundant since line 102 already returns early if
collections.logosis falsy. However, this defensive approach is consistent with the overall pattern and doesn't hurt performance.
137-137: Note: Redundant but harmless None checkSimilar to line 106, this None check is redundant given the early return at line 133, but it follows the defensive programming pattern applied throughout the codebase.
src/pump/_metadata.py (4)
266-267: Verify the metadata field ID mapping for 'relation.isreplacedby'The assertion constant has been updated from 51 to 53. Ensure this matches the actual metadata field ID in the target database schema.
272-273: Verify the metadata field ID mapping for 'identifier.uri'The assertion constant has been updated from 25 to 27. This field is used for item handle mapping (line 238), so accuracy is critical.
278-279: Verify the metadata field ID mapping for 'date.issued'The assertion constant has been updated from 15 to 17. This field is used in metadata processing logic (lines 33, 38), so ensure the new ID is correct.
260-261: Confirm ‘relation.replaces’ ID matches the database schemaThe assertion in
src/pump/_metadata.pylines 259–261 checks that:from_map = self.get_field_id_by_name_v5('relation.replaces') assert 52 == from_mapThis value comes from the
_v5_fields_name2idmapping loaded from your field registry JSON. Please verify that:
- The JSON file passed as
field_file_strindeed maps"relation.replaces"→52- Your target DSpace database’s
metadatafieldregistrytable definesrelation.replaceswith ID 52File needing attention:
- src/pump/_metadata.py:259–261
| def V5_DC_RELATION_REPLACES_ID(self): | ||
| from_map = self.get_field_id_by_name_v5('relation.replaces') | ||
| assert 50 == from_map | ||
| assert 52 == from_map |
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@Paurikova2 @milanmajchrak why the asserts at all? aren't the fields identifier uniquely with schema, element, qualifier?
select metadata_field_id from metadatafieldregistry NATURAL JOIN metadataschemaregistry where short_id = 'dc' and element = 'relation' and qualifier = 'replaces';
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@kosarko Yes, this is something we want to fix in the new PR.
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