Introduces src/core/errors.py with a small structured error hierarchy
that every public entry point now uses. Each error carries the
context a user needs to fix it and the context a maintainer needs to
trace it.
The hierarchy:
DataToolsError (base — formats path, column, operation, suggestion)
InputValidationError (extends ValueError — bad arg / wrong type)
ConfigError (extends ValueError — bad config / options)
FileFormatError (extends ValueError — file is not what we expected)
FileAccessError (extends OSError — file I/O failure)
Subclassing the stdlib bases means existing `except OSError` /
`except ValueError` handlers still catch them — no breaking change.
Helpers:
- ensure_dataframe(value, function=...) — uniform DataFrame guard
- ensure_choice(value, name=, choices=) — uniform enum/literal guard
- wrap_file_read(path, op, exc) — tag OSError with hint + path
- wrap_file_write(path, op, exc) — same, with Windows-aware tip
- format_for_user(exc, context=) — user-facing string for st.error / stderr
Library hardening:
- io.read_file: missing files surface FileAccessError listing whether
the parent directory exists, and the suggestion to check the path.
- io.read_file: chunk_size <= 0 now raises InputValidationError with
a positive-integer suggestion.
- io._read_excel: openpyxl BadZipFile / InvalidFileException / pandas
ValueError ("sheet not found") wrapped as FileFormatError listing
the path and a "list sheets with list_sheets()" hint.
- io._detect_excel_header_row: bare except narrowed to specific
openpyxl exceptions; falls back gracefully and logs at debug so
the real error surfaces from pd.read_excel.
- io.write_file: OSError / PermissionError on to_csv/to_excel wrapped
with file path and Windows-aware "file may be open in another
program" hint.
- dedup._parse_date: bare `except Exception` narrowed to
(TypeError, ValueError, OutOfBoundsDatetime); failed values
logged at debug for survivor-selection forensics.
- dedup._select_survivor: KEEP_MOST_RECENT now raises
InputValidationError instead of silently falling back to keep_first.
- dedup.deduplicate: input validation errors are InputValidationError
with operation/column/suggestion fields.
- format_standardize.from_dict: invalid FieldType for a column raises
ConfigError naming the column AND the bad value AND listing valid
values; same for date_order / phone_format / etc.
- format_standardize.from_file: OSError / JSON decode wrapped with
path AND line/column where parsing failed.
- format_standardize.to_file: TypeError on json.dumps wrapped as
ConfigError with the suspected source (extra_abbreviations).
- format_standardize._apply_field_type: dispatcher's "unknown field
type" branch now raises AssertionError (it's an internal invariant,
not user error — a new enum value was added without a branch).
- format_standardize._resolve_column_types: missing-column error now
InputValidationError with a "check for typos / unparsed header"
suggestion.
- format_standardize.standardize_dataframe: ensure_dataframe at entry.
- text_clean.clean_dataframe: ensure_dataframe at entry.
- config.to_strategies: invalid Algorithm/NormalizerType wrapped as
ConfigError naming the strategy index AND the column.
- config.to_survivor_rule: invalid SurvivorRule wrapped as ConfigError
listing valid values.
- config.from_file: OSError / JSON decode wrapped (mirror of
StandardizeOptions.from_file).
- fixes.repair_mojibake: ImportError on ftfy now logged at info level
with the underlying ImportError so a corrupt-package vs not-installed
distinction is visible in the logs.
- normalizers.normalize_phone: phonenumbers.NumberParseException now
logged at debug when the digits-only fallback drops extension /
country-code information — gives a trail when matching results
look wrong.
GUI / CLI surfaces:
- All 9 page handlers (`except Exception as e: st.error(...)`) now
use format_for_user(), which renders DataToolsError fields nicely
and falls back to "ClassName: message" for unrecognized errors.
- 2_Text_Cleaner and 3_Format_Standardizer additionally distinguish
UnicodeDecodeError with an "re-save as UTF-8" suggestion before
the generic handler.
- cli.py's "Error reading file" handler now uses format_for_user()
and includes the input path in the prefix.
Tests:
- tests/test_errors.py — 22 new tests covering: base class formatting,
stdlib inheritance, ensure_dataframe / ensure_choice helpers,
wrap_file_read / wrap_file_write, format_for_user behavior, and
end-to-end integration (missing file, missing dir, bad JSON, bad
algorithm, bad enum, missing column).
- tests/test_audit_fixes.py + tests/test_io.py — updated 4 tests for
the new exception types (InputValidationError replaces TypeError,
FileAccessError extends OSError).
Full project suite: 1230 passed, 4 skipped, 17 xfailed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
186 lines
6.0 KiB
Python
186 lines
6.0 KiB
Python
"""Shared error-formatting helpers.
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These keep error messages uniform across modules: same "what failed,
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where, and what to try next" structure regardless of which layer
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raises. Public CLIs / GUIs can rely on the message format being
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consistent enough to surface to end users without further wrapping.
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Usage patterns:
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raise DataToolsError(
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"Could not read input file",
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path=path,
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suggestion="Check that the file exists and is readable.",
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)
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# Wrapping a library error:
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try:
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wb = load_workbook(path)
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except (BadZipFile, InvalidFileException) as e:
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raise FileFormatError(
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"Excel file is corrupted or not a valid .xlsx",
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path=path,
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cause=e,
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) from e
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"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any, Iterable, Optional
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class DataToolsError(Exception):
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"""Base class for all DataTools-raised errors.
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Carries optional structured fields so GUIs / logs can render them
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consistently rather than re-parsing free-form messages.
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"""
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def __init__(
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self,
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message: str,
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*,
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path: Optional[Path | str] = None,
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column: Optional[str] = None,
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operation: Optional[str] = None,
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suggestion: Optional[str] = None,
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cause: Optional[BaseException] = None,
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):
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self.message = message
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self.path = Path(path) if path is not None else None
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self.column = column
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self.operation = operation
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self.suggestion = suggestion
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self.cause = cause
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super().__init__(self.format())
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def format(self) -> str:
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"""Render a human-friendly multi-line message."""
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lines = [self.message]
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if self.operation:
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lines.append(f" while: {self.operation}")
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if self.path:
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lines.append(f" file: {self.path}")
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if self.column:
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lines.append(f" column: {self.column!r}")
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if self.cause:
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lines.append(f" underlying: {type(self.cause).__name__}: {self.cause}")
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if self.suggestion:
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lines.append(f" suggestion: {self.suggestion}")
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return "\n".join(lines)
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class InputValidationError(DataToolsError, ValueError):
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"""Caller passed a bad argument — e.g., non-DataFrame, bad enum value."""
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class ConfigError(DataToolsError, ValueError):
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"""Configuration file or options object is invalid."""
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class FileFormatError(DataToolsError, ValueError):
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"""File exists but is not in the expected format (corrupted, wrong schema)."""
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class FileAccessError(DataToolsError, OSError):
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"""File could not be read or written — permissions, missing parent, full disk."""
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# ---------------------------------------------------------------------------
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# Convenience constructors
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# ---------------------------------------------------------------------------
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def ensure_dataframe(value: Any, *, function: str, parameter: str = "df") -> None:
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"""Raise InputValidationError if *value* isn't a pandas DataFrame.
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Centralizes the repetitive guard so every public entry point gives
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the same message shape.
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"""
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import pandas as pd # lazy — keeps this module dependency-light
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if not isinstance(value, pd.DataFrame):
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raise InputValidationError(
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f"{function}() requires a pandas DataFrame for {parameter!r}",
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operation=function,
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suggestion=(
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f"Got {type(value).__name__}. "
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"Pass a DataFrame loaded via src.core.io.read_file() "
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"or constructed with pd.DataFrame(...)."
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),
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)
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def ensure_choice(
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value: Any,
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*,
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name: str,
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choices: Iterable[Any],
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function: Optional[str] = None,
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) -> None:
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"""Raise InputValidationError if *value* isn't in *choices*."""
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choices = list(choices)
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if value in choices:
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return
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raise InputValidationError(
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f"Invalid {name}={value!r}",
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operation=function,
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suggestion=f"Valid: {sorted(map(str, choices))}",
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)
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def wrap_file_read(path: Path | str, operation: str, exc: BaseException) -> FileAccessError:
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"""Build a FileAccessError describing a read failure with helpful context."""
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return FileAccessError(
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f"Could not read file ({type(exc).__name__})",
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path=path,
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operation=operation,
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cause=exc,
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suggestion=(
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"Check that the file exists, you have read permission, and the "
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"path isn't on a network mount that may have disconnected."
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),
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)
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def wrap_file_write(path: Path | str, operation: str, exc: BaseException) -> FileAccessError:
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"""Build a FileAccessError describing a write failure with helpful context."""
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suggestion = (
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"Check that the parent directory exists, you have write permission, "
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"and there is enough free disk space."
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)
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if isinstance(exc, PermissionError):
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suggestion = (
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"Check write permissions on the parent directory. "
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"On Windows, also ensure the file is not open in another program."
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)
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return FileAccessError(
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f"Could not write file ({type(exc).__name__})",
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path=path,
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operation=operation,
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cause=exc,
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suggestion=suggestion,
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)
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# ---------------------------------------------------------------------------
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# Friendly formatter for end-user surfaces (CLI stderr, GUI st.error)
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# ---------------------------------------------------------------------------
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def format_for_user(exc: BaseException, *, context: Optional[str] = None) -> str:
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"""Render an exception for end-user display.
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Recognizes :class:`DataToolsError` and uses its structured fields;
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falls back to a generic message + class name for unrecognized
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exceptions. ``context`` is an optional one-line prefix describing
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what the user was trying to do (e.g., ``"Failed to read upload"``).
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"""
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if isinstance(exc, DataToolsError):
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body = exc.format()
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else:
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body = f"{type(exc).__name__}: {exc}"
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if context:
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return f"{context}\n\n{body}"
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return body
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