mirror of
https://github.com/Second-Hand-Friends/kleinanzeigen-bot.git
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refactor: replace get_message_template match with dict lookup (#1165)
## ℹ️ Description Replace the ~115-arm match/case in `__get_message_template` with a module-level `_MESSAGE_TEMPLATES` dict of raw English strings plus a 3-line lazy `_(template)` lookup function. - **Motivation**: Eliminate 5 complexity `noqa` annotations (C901, PLR0911, PLR0912, PLR0915, E701) by removing the real architectural complexity — a pure flat error-code → message mapping that has zero branching or logic. - **Approach**: A `dict[str, str]` of raw English strings (no `_()` calls at import time) with lazy translation inside `__get_message_template`. `"custom_error"` intentionally omitted — handled by `.get()` default. - **Translation**: Caller function name unchanged → translation keys under `__get_message_template` preserved. AST-based translation test extractor updated to recognize `_MESSAGE_TEMPLATES` dict values. ## 📋 Changes Summary - `src/kleinanzeigen_bot/utils/pydantics.py`: Replaced ~115 match arms with `_MESSAGE_TEMPLATES` dict + 3-line function; removed all 5 noqa annotations - `tests/unit/test_translations.py`: Added AST extraction for `_MESSAGE_TEMPLATES` dict values to maintain translation coverage checks ### ⚙️ Type of Change Select the type(s) of change(s) included in this pull request: - [ ] 🐞 Bug fix (non-breaking change which fixes an issue) - [ ] ✨ New feature (adds new functionality without breaking existing usage) - [ ] 💥 Breaking change (changes that might break existing user setups, scripts, or configurations) ## ✅ Checklist Before requesting a review, confirm the following: - [x] I have reviewed my changes to ensure they meet the project's standards. - [x] I have tested my changes and ensured that all tests pass (`pdm run test`). - [x] I have formatted the code (`pdm run format`). - [x] I have verified that linting passes (`pdm run lint`). - [x] I have updated documentation where necessary. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Refactor** * Improved error message handling system to support better internationalization and translation workflows * **Tests** * Updated test suite to extract and verify translatable message strings <!-- end of auto-generated comment: release notes by coderabbit.ai -->
This commit is contained in:
Jens
GitHub
@@ -89,123 +89,123 @@ def format_validation_error(ex:ValidationError) -> str:
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return "\n".join(lines)
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return "\n".join(lines)
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def __get_message_template(error_code:str) -> str | None: # noqa: C901 # generated/static pydantic error-code mapping
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# Mapping of pydantic error codes -> raw English message templates.
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# https://github.com/pydantic/pydantic-core/blob/d03bf4a01ca3b378cc8590bd481f307e82115bc6/src/errors/types.rs#L477
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# "custom_error" intentionally omitted; caller falls back to Pydantic's message.
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# ruff: noqa: PLR0911 Too many return statements
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# Strings are NOT wrapped with _() here — translation happens lazily in
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# ruff: noqa: PLR0912 Too many branches
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# __get_message_template to avoid freezing the locale at import time.
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# ruff: noqa: PLR0915 Too many statements
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# See https://github.com/pydantic/pydantic-core/blob/main/src/errors/types.rs
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# ruff: noqa: E701 Multiple statements on one line (colon)
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_MESSAGE_TEMPLATES:dict[str, str] = {
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match error_code:
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"no_such_attribute": "Object has no attribute '{attribute}'",
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case "no_such_attribute": return _("Object has no attribute '{attribute}'")
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"json_invalid": "Invalid JSON: {error}",
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case "json_invalid": return _("Invalid JSON: {error}")
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"json_type": "JSON input should be string, bytes or bytearray",
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case "json_type": return _("JSON input should be string, bytes or bytearray")
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"needs_python_object": "Cannot check `{method_name}` when validating from json, use a JsonOrPython validator instead",
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case "needs_python_object": return _("Cannot check `{method_name}` when validating from json, use a JsonOrPython validator instead")
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"recursion_loop": "Recursion error - cyclic reference detected",
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case "recursion_loop": return _("Recursion error - cyclic reference detected")
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"missing": "Field required",
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case "missing": return _("Field required")
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"frozen_field": "Field is frozen",
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case "frozen_field": return _("Field is frozen")
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"frozen_instance": "Instance is frozen",
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case "frozen_instance": return _("Instance is frozen")
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"extra_forbidden": "Extra inputs are not permitted",
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case "extra_forbidden": return _("Extra inputs are not permitted")
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"invalid_key": "Keys should be strings",
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case "invalid_key": return _("Keys should be strings")
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"get_attribute_error": "Error extracting attribute: {error}",
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case "get_attribute_error": return _("Error extracting attribute: {error}")
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"model_type": "Input should be a valid dictionary or instance of {class_name}",
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case "model_type": return _("Input should be a valid dictionary or instance of {class_name}")
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"model_attributes_type": "Input should be a valid dictionary or object to extract fields from",
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case "model_attributes_type": return _("Input should be a valid dictionary or object to extract fields from")
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"dataclass_type": "Input should be a dictionary or an instance of {class_name}",
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case "dataclass_type": return _("Input should be a dictionary or an instance of {class_name}")
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"dataclass_exact_type": "Input should be an instance of {class_name}",
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case "dataclass_exact_type": return _("Input should be an instance of {class_name}")
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"none_required": "Input should be None",
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case "none_required": return _("Input should be None")
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"greater_than": "Input should be greater than {gt}",
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case "greater_than": return _("Input should be greater than {gt}")
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"greater_than_equal": "Input should be greater than or equal to {ge}",
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case "greater_than_equal": return _("Input should be greater than or equal to {ge}")
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"less_than": "Input should be less than {lt}",
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case "less_than": return _("Input should be less than {lt}")
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"less_than_equal": "Input should be less than or equal to {le}",
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case "less_than_equal": return _("Input should be less than or equal to {le}")
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"multiple_of": "Input should be a multiple of {multiple_of}",
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case "multiple_of": return _("Input should be a multiple of {multiple_of}")
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"finite_number": "Input should be a finite number",
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case "finite_number": return _("Input should be a finite number")
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"too_short": "{field_type} should have at least {min_length} item{expected_plural} after validation, not {actual_length}",
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case "too_short": return _("{field_type} should have at least {min_length} item{expected_plural} after validation, not {actual_length}")
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"too_long": "{field_type} should have at most {max_length} item{expected_plural} after validation, not {actual_length}",
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case "too_long": return _("{field_type} should have at most {max_length} item{expected_plural} after validation, not {actual_length}")
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"iterable_type": "Input should be iterable",
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case "iterable_type": return _("Input should be iterable")
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"iteration_error": "Error iterating over object, error: {error}",
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case "iteration_error": return _("Error iterating over object, error: {error}")
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"string_type": "Input should be a valid string",
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case "string_type": return _("Input should be a valid string")
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"string_sub_type": "Input should be a string, not an instance of a subclass of str",
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case "string_sub_type": return _("Input should be a string, not an instance of a subclass of str")
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"string_unicode": "Input should be a valid string, unable to parse raw data as a unicode string",
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case "string_unicode": return _("Input should be a valid string, unable to parse raw data as a unicode string")
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"string_too_short": "String should have at least {min_length} character{expected_plural}",
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case "string_too_short": return _("String should have at least {min_length} character{expected_plural}")
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"string_too_long": "String should have at most {max_length} character{expected_plural}",
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case "string_too_long": return _("String should have at most {max_length} character{expected_plural}")
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"string_pattern_mismatch": "String should match pattern '{pattern}'",
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case "string_pattern_mismatch": return _("String should match pattern '{pattern}'")
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"enum": "Input should be {expected}",
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case "enum": return _("Input should be {expected}")
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"dict_type": "Input should be a valid dictionary",
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case "dict_type": return _("Input should be a valid dictionary")
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"mapping_type": "Input should be a valid mapping, error: {error}",
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case "mapping_type": return _("Input should be a valid mapping, error: {error}")
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"list_type": "Input should be a valid list",
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case "list_type": return _("Input should be a valid list")
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"tuple_type": "Input should be a valid tuple",
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case "tuple_type": return _("Input should be a valid tuple")
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"set_type": "Input should be a valid set",
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case "set_type": return _("Input should be a valid set")
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"set_item_not_hashable": "Set items should be hashable",
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case "set_item_not_hashable": return _("Set items should be hashable")
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"bool_type": "Input should be a valid boolean",
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case "bool_type": return _("Input should be a valid boolean")
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"bool_parsing": "Input should be a valid boolean, unable to interpret input",
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case "bool_parsing": return _("Input should be a valid boolean, unable to interpret input")
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"int_type": "Input should be a valid integer",
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case "int_type": return _("Input should be a valid integer")
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"int_parsing": "Input should be a valid integer, unable to parse string as an integer",
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case "int_parsing": return _("Input should be a valid integer, unable to parse string as an integer")
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"int_from_float": "Input should be a valid integer, got a number with a fractional part",
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case "int_from_float": return _("Input should be a valid integer, got a number with a fractional part")
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"int_parsing_size": "Unable to parse input string as an integer, exceeded maximum size",
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case "int_parsing_size": return _("Unable to parse input string as an integer, exceeded maximum size")
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"float_type": "Input should be a valid number",
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case "float_type": return _("Input should be a valid number")
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"float_parsing": "Input should be a valid number, unable to parse string as a number",
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case "float_parsing": return _("Input should be a valid number, unable to parse string as a number")
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"bytes_type": "Input should be a valid bytes",
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case "bytes_type": return _("Input should be a valid bytes")
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"bytes_too_short": "Data should have at least {min_length} byte{expected_plural}",
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case "bytes_too_short": return _("Data should have at least {min_length} byte{expected_plural}")
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"bytes_too_long": "Data should have at most {max_length} byte{expected_plural}",
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case "bytes_too_long": return _("Data should have at most {max_length} byte{expected_plural}")
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"bytes_invalid_encoding": "Data should be valid {encoding}: {encoding_error}",
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case "bytes_invalid_encoding": return _("Data should be valid {encoding}: {encoding_error}")
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"value_error": "Value error, {error}",
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case "value_error": return _("Value error, {error}")
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"assertion_error": "Assertion failed, {error}",
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case "assertion_error": return _("Assertion failed, {error}")
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# "custom_error" omitted intentionally — caller falls back to Pydantic's own message
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case "custom_error": return None # handled separately
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"literal_error": "Input should be {expected}",
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case "literal_error": return _("Input should be {expected}")
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"date_type": "Input should be a valid date",
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case "date_type": return _("Input should be a valid date")
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"date_parsing": "Input should be a valid date in the format YYYY-MM-DD, {error}",
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case "date_parsing": return _("Input should be a valid date in the format YYYY-MM-DD, {error}")
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"date_from_datetime_parsing": "Input should be a valid date or datetime, {error}",
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case "date_from_datetime_parsing": return _("Input should be a valid date or datetime, {error}")
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"date_from_datetime_inexact": "Datetimes provided to dates should have zero time - e.g. be exact dates",
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case "date_from_datetime_inexact": return _("Datetimes provided to dates should have zero time - e.g. be exact dates")
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"date_past": "Date should be in the past",
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case "date_past": return _("Date should be in the past")
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"date_future": "Date should be in the future",
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case "date_future": return _("Date should be in the future")
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"time_type": "Input should be a valid time",
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case "time_type": return _("Input should be a valid time")
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"time_parsing": "Input should be in a valid time format, {error}",
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case "time_parsing": return _("Input should be in a valid time format, {error}")
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"datetime_type": "Input should be a valid datetime",
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case "datetime_type": return _("Input should be a valid datetime")
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"datetime_parsing": "Input should be a valid datetime, {error}",
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case "datetime_parsing": return _("Input should be a valid datetime, {error}")
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"datetime_object_invalid": "Invalid datetime object, got {error}",
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case "datetime_object_invalid": return _("Invalid datetime object, got {error}")
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"datetime_from_date_parsing": "Input should be a valid datetime or date, {error}",
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case "datetime_from_date_parsing": return _("Input should be a valid datetime or date, {error}")
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"datetime_past": "Input should be in the past",
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case "datetime_past": return _("Input should be in the past")
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"datetime_future": "Input should be in the future",
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case "datetime_future": return _("Input should be in the future")
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"timezone_naive": "Input should not have timezone info",
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case "timezone_naive": return _("Input should not have timezone info")
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"timezone_aware": "Input should have timezone info",
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case "timezone_aware": return _("Input should have timezone info")
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"timezone_offset": "Timezone offset of {tz_expected} required, got {tz_actual}",
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case "timezone_offset": return _("Timezone offset of {tz_expected} required, got {tz_actual}")
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"time_delta_type": "Input should be a valid timedelta",
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case "time_delta_type": return _("Input should be a valid timedelta")
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"time_delta_parsing": "Input should be a valid timedelta, {error}",
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case "time_delta_parsing": return _("Input should be a valid timedelta, {error}")
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"frozen_set_type": "Input should be a valid frozenset",
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case "frozen_set_type": return _("Input should be a valid frozenset")
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"is_instance_of": "Input should be an instance of {class}",
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case "is_instance_of": return _("Input should be an instance of {class}")
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"is_subclass_of": "Input should be a subclass of {class}",
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case "is_subclass_of": return _("Input should be a subclass of {class}")
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"callable_type": "Input should be callable",
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case "callable_type": return _("Input should be callable")
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"union_tag_invalid": "Input tag '{tag}' found using {discriminator} does not match any of the expected tags: {expected_tags}",
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case "union_tag_invalid": return _("Input tag '{tag}' found using {discriminator} does not match any of the expected tags: {expected_tags}")
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"union_tag_not_found": "Unable to extract tag using discriminator {discriminator}",
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case "union_tag_not_found": return _("Unable to extract tag using discriminator {discriminator}")
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"arguments_type": "Arguments must be a tuple, list or a dictionary",
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case "arguments_type": return _("Arguments must be a tuple, list or a dictionary")
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"missing_argument": "Missing required argument",
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case "missing_argument": return _("Missing required argument")
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"unexpected_keyword_argument": "Unexpected keyword argument",
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case "unexpected_keyword_argument": return _("Unexpected keyword argument")
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"missing_keyword_only_argument": "Missing required keyword only argument",
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case "missing_keyword_only_argument": return _("Missing required keyword only argument")
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"unexpected_positional_argument": "Unexpected positional argument",
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case "unexpected_positional_argument": return _("Unexpected positional argument")
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"missing_positional_only_argument": "Missing required positional only argument",
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case "missing_positional_only_argument": return _("Missing required positional only argument")
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"multiple_argument_values": "Got multiple values for argument",
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case "multiple_argument_values": return _("Got multiple values for argument")
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"url_type": "URL input should be a string or URL",
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case "url_type": return _("URL input should be a string or URL")
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"url_parsing": "Input should be a valid URL, {error}",
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case "url_parsing": return _("Input should be a valid URL, {error}")
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"url_syntax_violation": "Input violated strict URL syntax rules, {error}",
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case "url_syntax_violation": return _("Input violated strict URL syntax rules, {error}")
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"url_too_long": "URL should have at most {max_length} character{expected_plural}",
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case "url_too_long": return _("URL should have at most {max_length} character{expected_plural}")
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"url_scheme": "URL scheme should be {expected_schemes}",
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case "url_scheme": return _("URL scheme should be {expected_schemes}")
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"uuid_type": "UUID input should be a string, bytes or UUID object",
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case "uuid_type": return _("UUID input should be a string, bytes or UUID object")
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"uuid_parsing": "Input should be a valid UUID, {error}",
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case "uuid_parsing": return _("Input should be a valid UUID, {error}")
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"uuid_version": "UUID version {expected_version} expected",
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case "uuid_version": return _("UUID version {expected_version} expected")
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"decimal_type": "Decimal input should be an integer, float, string or Decimal object",
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case "decimal_type": return _("Decimal input should be an integer, float, string or Decimal object")
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"decimal_parsing": "Input should be a valid decimal",
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case "decimal_parsing": return _("Input should be a valid decimal")
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"decimal_max_digits": "Decimal input should have no more than {max_digits} digit{expected_plural} in total",
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case "decimal_max_digits": return _("Decimal input should have no more than {max_digits} digit{expected_plural} in total")
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"decimal_max_places": "Decimal input should have no more than {decimal_places} decimal place{expected_plural}",
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case "decimal_max_places": return _("Decimal input should have no more than {decimal_places} decimal place{expected_plural}")
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"decimal_whole_digits": "Decimal input should have no more than {whole_digits} digit{expected_plural} before the decimal point",
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case "decimal_whole_digits": return _("Decimal input should have no more than {whole_digits} digit{expected_plural} before the decimal point")
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"complex_type": (
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case "complex_type":
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"Input should be a valid python complex object, a number, or a valid complex string "
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return _(
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"following the rules at https://docs.python.org/3/library/functions.html#complex"
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"Input should be a valid python complex object, a number, or a valid complex string "
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),
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"following the rules at https://docs.python.org/3/library/functions.html#complex"
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"complex_str_parsing": (
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)
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"Input should be a valid complex string following the rules at "
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case "complex_str_parsing":
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"https://docs.python.org/3/library/functions.html#complex"
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return _(
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),
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"Input should be a valid complex string following the rules at "
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}
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"https://docs.python.org/3/library/functions.html#complex"
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)
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case _:
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def __get_message_template(error_code:str) -> str | None:
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pass
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template = _MESSAGE_TEMPLATES.get(error_code)
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return None
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return _(template) if template is not None else None
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@@ -157,6 +157,24 @@ def _extract_log_messages(file_path:str, exclude_debug:bool = False) -> MessageD
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if msg:
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if msg:
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add_message(function_name, msg)
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add_message(function_name, msg)
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# Extract messages from _MESSAGE_TEMPLATES dict (used by __get_message_template)
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for n in ast.walk(tree):
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target_ids:list[str] = []
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dict_value:ast.AST | None = None
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if isinstance(n, ast.Assign):
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target_ids = [t.id for t in n.targets if isinstance(t, ast.Name)]
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dict_value = n.value
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elif isinstance(n, ast.AnnAssign):
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if isinstance(n.target, ast.Name):
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target_ids = [n.target.id]
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dict_value = n.value
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if "_MESSAGE_TEMPLATES" not in target_ids or not isinstance(dict_value, ast.Dict):
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continue
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for val_node in dict_value.values:
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msg = extract_string_constant(val_node)
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if msg: # skips None values (e.g. custom_error)
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add_message("__get_message_template", msg)
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print(f"Messages: {len(messages)} in {file_path}")
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print(f"Messages: {len(messages)} in {file_path}")
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return messages
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return messages
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