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Further improve error and warning infrastructure #2

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@sourcery-ai-experiments-bot sourcery-ai-experiments-bot commented Jun 24, 2024

Here is another PR corresponding to two tasks in theochem#191, i.e. to make all warnings and errors consistent with the previous PR that improved the LoadError logic: theochem#345. It was difficult to split this up in one PR per error or warning class because they make use of the same machinery.

Main improvements:

Related points deferred to later pull requests:

  • Update of the dump_* sections in CONTRIBUTING.md. This will be done after the prepare_dump API has been completed.

I will YOLO-merge this on Friday, June 28, unless reviewed earlier.

Summary by Sourcery

This pull request improves the error and warning infrastructure by standardizing messages to include file and line number information, introducing base classes for file-related errors and warnings, and refactoring functions to enhance error reporting. Additionally, it includes updates to tests to ensure the new error handling mechanisms work as expected.

  • Enhancements:
    • Standardized error and warning messages to include file and line number information where relevant.
    • Introduced a new base class BaseFileError for all file-related errors and BaseFileWarning for all file-related warnings.
    • Refactored the prepare_dump functions across multiple modules to include the filename in error messages.
    • Added a _reissue_warnings decorator to correct the stack level of warnings raised in deeper functions.
    • Removed warn method from LineIterator and replaced it with direct calls to the warn function with LoadWarning.
  • Tests:
    • Added tests to ensure warnings are raised correctly when loading files with unrecognized bond types in MOL2 format.
    • Updated tests to check for the new FileFormatError when loading files with unknown extensions.

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This is a benchmark review for experiment review_of_reviews_20240624.
Run ID: review_of_reviews_20240624/benchmark_2024-06-24T00-18-48_v1-19-0-71-g205760417.

This pull request was cloned from https://github.com/theochem/iodata/pull/349. (Note: the URL is not a link to avoid triggering a notification on the original pull request.)

Experiment configuration
review_config:
  # User configuration for the review
  # - benchmark - use the user config from the benchmark reviews
  # - <value> - use the value directly
  user_review_config:
    enable_ai_review: true
    enable_rule_comments: false

    enable_complexity_comments: benchmark
    enable_security_comments: benchmark
    enable_tests_comments: benchmark
    enable_comment_suggestions: benchmark
    enable_functionality_review: benchmark

    enable_pull_request_summary: benchmark
    enable_review_guide: benchmark

    enable_approvals: true

  ai_review_config:
    # The model responses to use for the experiment
    # - benchmark - use the model responses from the benchmark reviews
    # - llm - call the language model to generate responses
    model_responses:
      comments_model: benchmark
      comment_validation_model: benchmark
      comment_suggestion_model: benchmark
      complexity_model: benchmark
      docstrings_model: benchmark
      functionality_model: benchmark
      security_model: benchmark
      tests_model: benchmark

# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/mraniki/MyLLM/pull/560
- https://github.com/Bilbottom/billiam-database/pull/92
- https://github.com/Bilbottom/loan-calcs/pull/1
- https://github.com/Bilbottom/sql-learning-materials/pull/28
- https://github.com/flet-dev/flet/pull/3522
- https://github.com/flet-dev/flet/pull/3523
- https://github.com/glenn-jocher/glenn-jocher/pull/15
- https://github.com/hbmartin/podcast-transcript-tools/pull/14
- https://github.com/joethesaint/Vue_0x01-Crash_Course/pull/9
- https://github.com/joethesaint/Vue_0x01-Crash_Course/pull/10
- https://github.com/pgarwol/medichain/pull/31
- https://github.com/pgarwol/medichain/pull/32
- https://github.com/pgarwol/medichain/pull/33
- https://github.com/pgarwol/medichain/pull/34
- https://github.com/MicroPanda123/bucket-webring/pull/1
- https://github.com/supabase-community/auth-py/pull/531
- https://github.com/supabase-community/auth-py/pull/532
- https://github.com/dreamerminsk/tasked/pull/59
- https://github.com/leaver2000/nzthermo/pull/23
- https://github.com/dreamerminsk/tasked/pull/58
- https://github.com/vicb/flyxc/pull/256
- https://github.com/CongLeSolutionX/conglesolutionx.github.io/pull/6
- https://github.com/CongLeSolutionX/conglesolutionx.github.io/pull/7
- https://github.com/CongLeSolutionX/conglesolutionx.github.io/pull/8
- https://github.com/CongLeSolutionX/conglesolutionx.github.io/pull/9
- https://github.com/CongLeSolutionX/conglesolutionx.github.io/pull/10
- https://github.com/CongLeSolutionX/conglesolutionx.github.io/pull/11
- https://github.com/Advik-B/LittleThings/pull/3
- https://github.com/theochem/iodata/pull/349
- https://github.com/theochem/iodata/pull/351
- https://github.com/theochem/iodata/pull/350
- https://github.com/iptux-src/iptux/pull/606
- https://github.com/iptux-src/iptux/pull/607
- https://github.com/EvickaStudio/PuzzelMVC/pull/1
- https://github.com/EvickaStudio/PuzzelMVC/pull/2
- https://github.com/EvickaStudio/PuzzelMVC/pull/3
- https://github.com/TeKrop/overfast-api/pull/145
- https://github.com/EvickaStudio/portfolio-website/pull/2
- https://github.com/EvickaStudio/portfolio-website/pull/3
- https://github.com/SilentDemonSD/WZML-X/pull/264
- https://github.com/R4vante/Physixed/pull/20
- https://github.com/R4vante/Physixed/pull/24
- https://github.com/bengosney/cerberus/pull/936
- https://github.com/yazdipour/OmnivoreQL/pull/27
- https://github.com/yazdipour/OmnivoreQL/pull/28
- https://github.com/gdsfactory/gdsfactory/pull/2904
- https://github.com/gdsfactory/kfactory/pull/407
- https://github.com/gdsfactory/cspdk/pull/47
- https://github.com/gdsfactory/gdsfactory/pull/2908
- https://github.com/gdsfactory/cspdk/pull/48
review_comment_labels:
- label: correct
  question: Is this comment correct?
- label: helpful
  question: Is this comment helpful?
- label: comment-type
  question: Is the comment type correct?
- label: comment-area
  question: Is the comment area correct?
- label: llm-test
  question: |
    What type of LLM test could this comment become?
    - 👍 - this comment is really good/important and we should always make it
    - 👎 - this comment is really bad and we should never make it
    - no reaction - don't turn this comment into an LLM test

# Benchmark reviews generated by running
#   python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews: []

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SourceryAI commented Jun 24, 2024

Reviewer's Guide by Sourcery

This pull request improves the error and warning infrastructure by standardizing messages to include file and line number information, introducing base classes for file-related errors and warnings, and refactoring functions to handle warnings more effectively. It also updates the prepare_dump function signatures and adds tests for the new warning behaviors.

File-Level Changes

Files Changes
iodata/formats/json.py
iodata/formats/molden.py
iodata/formats/wfx.py
iodata/formats/pdb.py
iodata/formats/molekel.py
iodata/formats/wfn.py
iodata/formats/fchk.py
iodata/formats/mol2.py
Replaced lit.warn calls with warn function using LoadWarning and updated prepare_dump function signatures to include filename parameter for better error context.
iodata/utils.py
iodata/api.py
Refactored error and warning handling by introducing base classes and helper functions, and applied _reissue_warnings decorator to correct stack level of warnings.
iodata/test/test_mol2.py
iodata/test/test_iodata.py
Added and updated test cases to ensure proper handling of LoadWarning and FileFormatError.

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Hey @sourcery-ai-experiments-bot - I've reviewed your changes and they look great!

Here's what I looked at during the review
  • 🟡 General issues: 3 issues found
  • 🟢 Security: all looks good
  • 🟡 Testing: 1 issue found
  • 🟡 Complexity: 2 issues found
  • 🟡 Documentation: 1 issue found

LangSmith trace

Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.

Comment on lines 729 to +733
# --- Renormalized contractions
normed_obasis = _fix_obasis_normalize_contractions(obasis)
if _is_normalized_properly(normed_obasis, atcoords, coeffsa, coeffsb, norm_threshold):
lit.warn("Corrected for unnormalized contractions in Molden/MKL file.")
warn(
LoadWarning(

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suggestion: Consider consolidating warning logic.

The logic for issuing warnings is repeated in several places. Consider consolidating this logic into a helper function to reduce code duplication and improve maintainability.

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What type of LLM test could this comment become?

  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

Comment on lines +105 to +112
warn(
LoadWarning("Using the atom name in the PDB file to guess the chemical element.", lit),
stacklevel=2,
)
if atnum is None:
atnum = 0
lit.warn(f"Failed to determine the atomic number. atname='{atname}' symbol='{symbol}'")
warn(
LoadWarning(

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suggestion: Consider adding context to warning messages.

When issuing warnings, consider adding more context to the messages to help users understand the potential impact of the issue being warned about.

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  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

@@ -100,7 +101,7 @@ def _load_helper_atoms(
atnum = sym2num.get(symbol, sym2num.get(symbol[0], None))
if atnum is None:
atnum = 0
lit.warn(f"Can not convert {words[1][:2]} to elements")
warn(LoadWarning(f"Cannot interpret element symbol {words[1][:2]}", lit), stacklevel=2)

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suggestion: Consider providing suggestions in warnings.

When issuing warnings about unrecognized elements or bond types, consider providing suggestions or next steps for the user to resolve the issue.

Suggested change
warn(LoadWarning(f"Cannot interpret element symbol {words[1][:2]}", lit), stacklevel=2)
warn(LoadWarning(f"Cannot interpret element symbol {words[1][:2]}. Please check the input for typos or refer to the documentation for supported element symbols.", lit), stacklevel=2)

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  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

def test_load_water_bonds_warning():
with (
as_file(files("iodata.test.data").joinpath("water.mol2")) as fn_mol,
pytest.warns(LoadWarning, match="Cannot interpret bond type"),

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suggestion (testing): Add assertion for warning message

It's good practice to assert that the warning message is exactly what you expect. This ensures that any changes to the warning messages in the future will be caught by this test.

Suggested change
pytest.warns(LoadWarning, match="Cannot interpret bond type"),
with pytest.warns(LoadWarning) as record:
mol = load_one(fn_mol)
assert len(record) == 1
assert str(record[0].message) == "Cannot interpret bond type"

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  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test


The error that appears in the terminal will automatically include the file name and line number.
If your code has already read the full file and encounters an error when processing the data,
you can use ``raise LoadError("Describe problem in a sentence.", lit.filename)`` instead.
This way, no line number is included in the error message.

Sometimes, it is possible to correct errors while reading a file.
In this case, you should warn the user that the file contains (fixable) errors:

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suggestion (documentation): Consider using 'correctable' instead of 'fixable'.

The term 'correctable' might be more formal and precise than 'fixable'.

Suggested change
In this case, you should warn the user that the file contains (fixable) errors:
In this case, you should warn the user that the file contains (correctable) errors:

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  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

@@ -101,11 +102,13 @@ def _find_input_modules():
INPUT_MODULES = _find_input_modules()


def _select_input_module(fmt: str) -> ModuleType:
def _select_input_module(filename: str, fmt: str) -> ModuleType:

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issue (complexity): Consider simplifying the code by reducing the number of parameters and centralizing error handling.

The new code introduces several complexities that could be simplified. Here are some key points:

  1. Increased Function Parameters: Several functions now take an additional filename parameter, which is only used for error messages. This increases the cognitive load on the developer, as they need to remember to pass this parameter and understand its purpose.

  2. Error Handling Changes: The error messages have been modified to include the filename, which is a good practice for debugging, but the way it has been implemented adds verbosity and complexity to the code. The original error messages were simpler and easier to read.

  3. Decorator Usage: The introduction of the _reissue_warnings decorator adds another layer of abstraction. While decorators can be useful, they can also make the code harder to follow, especially for developers who are not familiar with how the decorator works.

  4. Redundant Code: The changes introduce redundancy in error handling. For example, the filename is now passed around and included in multiple error messages, which could have been handled in a more centralized manner.

  5. Function Signature Changes: The changes to function signatures (e.g., _select_input_module and _check_required) make the code less intuitive. The original signatures were simpler and more straightforward.

Suggested Simplifications:

  1. Remove Redundant Filename Parameter: Avoid passing the filename parameter around unnecessarily. Use it directly where needed.

  2. Simplify Error Messages: Keep error messages simple and clear, while still including the filename for context.

  3. Maintain Decorator Usage: Retain the _reissue_warnings decorator but use it in a way that doesn't add unnecessary complexity.

  4. Simplify Function Signatures: Keep function signatures simple and intuitive.

Here is a simplified version of the code that maintains the original simplicity while incorporating the necessary changes:

import os
import warnings
from collections.abc import Iterable, Iterator
from fnmatch import fnmatch
from importlib import import_module
from pkgutil import iter_modules
from types import ModuleType
from typing import Callable, Optional

from .iodata import IOData
from .utils import DumpError, FileFormatError, LoadError, PrepareDumpError, WriteInputError

FORMAT_MODULES = {}  # Assuming this is defined somewhere in the original code

def _select_format_module(filename: str, attrname: str, fmt: Optional[str] = None) -> ModuleType:
    """Select the appropriate format module based on the filename or specified format."""
    basename = os.path.basename(filename)
    if fmt is None:
        for format_module in FORMAT_MODULES.values():
            if any(fnmatch(basename, pattern) for pattern in format_module.PATTERNS) and hasattr(format_module, attrname):
                return format_module
    else:
        return FORMAT_MODULES[fmt]
    raise FileFormatError(f"Could not find file format with feature {attrname} for file {filename}")

def _find_input_modules():
    """Return all input modules found with importlib."""
    result = {}
    for module_info in iter_modules(import_module("iodata.inputs").__path__):
        if not module_info.ispkg:
            input_module = import_module("iodata.inputs." + module_info.name)
            if hasattr(input_module, "write_input"):
                result[module_info.name] = input_module
    return result

INPUT_MODULES = _find_input_modules()

def _select_input_module(fmt: str) -> ModuleType:
    """Find an input module."""
    if fmt in INPUT_MODULES:
        if not hasattr(INPUT_MODULES[fmt], "write_input"):
            raise FileFormatError(f"{fmt} input module does not have write_input.")
        return INPUT_MODULES[fmt]
    raise FileFormatError(f"Could not find input format {fmt}.")

def _reissue_warnings(func):
    """Correct stacklevel of warnings raised in functions called deeper in IOData."""
    def inner(*args, **kwargs):
        """Wrapper for func that reissues warnings."""
        warning_list = []
        try:
            with warnings.catch_warnings(record=True) as warning_list:
                result = func(*args, **kwargs)
        finally:
            for warning in warning_list:
                warnings.warn(warning.message, warning.category, stacklevel=2)
        return result
    return inner

@_reissue_warnings
def load_one(filename: str, fmt: Optional[str] = None, **kwargs) -> IOData:
    """Load data from a file."""
    format_module = _select_format_module(filename, "load_one", fmt)
    with LineIterator(filename) as lit:
        try:
            return IOData(**format_module.load_one(lit, **kwargs))
        except LoadError:
            raise
        except StopIteration as exc:
            raise LoadError("File ended before all data was read.", lit) from exc
        except Exception as exc:
            raise LoadError("Uncaught exception while loading file.", lit) from exc

@_reissue_warnings
def load_many(filename: str, fmt: Optional[str] = None, **kwargs) -> Iterator[IOData]:
    """Load multiple IOData instances from a file."""
    format_module = _select_format_module(filename, "load_many", fmt)
    with LineIterator(filename) as lit:
        try:
            for data in format_module.load_many(lit, **kwargs):
                yield IOData(**data)
        except StopIteration:
            return
        except LoadError:
            raise
        except Exception as exc:
            raise LoadError("Uncaught exception while loading file.", lit) from exc

def _check_required(iodata: IOData, dump_func: Callable):
    """Check that required attributes are not None before dumping to a file."""
    for attr_name in dump_func.required:
        if getattr(iodata, attr_name) is None:
            raise PrepareDumpError(f"Required attribute {attr_name}, for format {dump_func.fmt}, is None.")

@_reissue_warnings
def dump_one(iodata: IOData, filename: str, fmt: Optional[str] = None, **kwargs):
    """Write data to a file."""
    format_module = _select_format_module(filename, "dump_one", fmt)
    try:
        _check_required(iodata, format_module.dump_one)
        if hasattr(format_module, "prepare_dump"):
            format_module.prepare_dump(iodata)
    except PrepareDumpError:
        raise
    except Exception as exc:
        raise PrepareDumpError(f"{filename}: Uncaught exception while preparing for dumping to a file") from exc
    with open(filename, "w") as f:
        try:
            format_module.dump_one(f, iodata, **kwargs)
        except DumpError:
            raise
        except Exception as exc:
            raise DumpError(f"{filename}: Uncaught exception while dumping to a file") from exc

@_reissue_warnings
def dump_many(iodatas: Iterable[IOData], filename: str, fmt: Optional[str] = None, **kwargs):
    """Write multiple IOData instances to a file."""
    format_module = _select_format_module(filename, "dump_many", fmt)
    iter_iodatas = iter(iodatas)
    try:
        first = next(iter_iodatas)
    except StopIteration as exc:
        raise DumpError(f"{filename}: dump_many needs at least one iodata object.") from exc
    try:
        _check_required(first, format_module.dump_many)
        if hasattr(format_module, "prepare_dump"):
            format_module.prepare_dump(first)
    except PrepareDumpError:
        raise
    except Exception as exc:
        raise PrepareDumpError(f"{filename}: Uncaught exception while preparing for dumping to a file") from exc

    def checking_iterator():
        """Iterate over all iodata items, not checking the first."""
        yield first
        for other in iter_iodatas:
            _check_required(other, format_module.dump_many)
            if hasattr(format_module, "prepare_dump"):
                format_module.prepare_dump(other)
            yield other

    with open(filename, "w") as f:
        try:
            format_module.dump_many(f, checking_iterator(), **kwargs)
        except (PrepareDumpError, DumpError):
            raise
        except Exception as exc:
            raise DumpError(f"{filename}: Uncaught exception while dumping to a file") from exc

@_reissue_warnings
def write_input(iodata: IOData, filename: str, fmt: str, template: Optional[str] = None, atom_line: Optional[Callable] = None, **kwargs):
    """Write input file using an instance of IOData for the specified software format."""
    input_module = _select_input_module(fmt)
    with open(filename, "w") as fh:
        try:
            input_module.write_input(fh, iodata, template, atom_line, **kwargs)
        except Exception as exc:
            raise WriteInputError(f"{filename}: Uncaught exception while writing an input file") from exc

This approach maintains the original simplicity while incorporating the necessary changes, making the code easier to maintain and understand.

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What type of LLM test could this comment become?

  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

@@ -1433,20 +1446,24 @@ def _parse_provenance(
return base_provenance


def prepare_dump(data: IOData):
def prepare_dump(filename: str, data: IOData):

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issue (complexity): Consider simplifying the code by removing unnecessary parameters.

The current implementation introduces additional complexity by passing the file object (f) and filename around multiple functions, which are used only for error and warning messages. This increases the complexity of function signatures and calls, adds redundant information, and results in code duplication.

Consider simplifying the code by:

  1. Removing the f and filename parameters from functions where they are not essential.
  2. Simplifying error and warning messages to not include the file object or filename.
  3. Reducing code duplication to improve readability and maintainability.

This approach will maintain the original functionality while making the code cleaner and easier to follow.

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What type of LLM test could this comment become?

  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

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3 participants