16871375955

Committed 11 Aug 2025 05:06AM UTC coverage: 72.561% (-1.9%) from 74.431%

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mborsetti

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Version 3.31.1rc0

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/webchanges/differs.py

"""Differs."""

# The code below is subject to the license contained in the LICENSE file, which is part of the source code.

from __future__ import annotations

import base64
import difflib
import html
import logging
import math
import os
import re
import shlex
import subprocess
import sys
import tempfile
import traceback
import urllib.parse
import warnings
from base64 import b64encode
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime
from io import BytesIO
from pathlib import Path
from typing import TYPE_CHECKING, Any, Iterator, Literal, TypedDict
from xml.parsers.expat import ExpatError
from zoneinfo import ZoneInfo

import html2text
import yaml

from webchanges.jobs import JobBase
from webchanges.util import TrackSubClasses, linkify, mark_to_html

try:
    from deepdiff import DeepDiff
    from deepdiff.model import DiffLevel
except ImportError as e:  # pragma: no cover
    DeepDiff = str(e)  # type: ignore[assignment,misc]

try:
    import httpx
except ImportError:  # pragma: no cover
    httpx = None  # type: ignore[assignment]
if httpx is not None:
    try:
        import h2
    except ImportError:  # pragma: no cover
        h2 = None  # type: ignore[assignment]

try:
    import numpy as np
except ImportError as e:  # pragma: no cover
    np = str(e)  # type: ignore[assignment]

try:
    from PIL import Image, ImageChops, ImageEnhance, ImageStat
except ImportError as e:  # pragma: no cover
    Image = str(e)  # type: ignore[assignment]

# https://stackoverflow.com/questions/712791
try:
    import simplejson as jsonlib
except ImportError:  # pragma: no cover
    import json as jsonlib  # type: ignore[no-redef]

try:
    import xmltodict
except ImportError as e:  # pragma: no cover
    xmltodict = str(e)  # type: ignore[assignment]

# https://stackoverflow.com/questions/39740632
if TYPE_CHECKING:
    from webchanges.handler import JobState
    from webchanges.storage import _ConfigDifferDefaults


logger = logging.getLogger(__name__)

AiGoogleDirectives = TypedDict(
    'AiGoogleDirectives',
    {
        'model': str,
        'additions_only': str,
        'system_instructions': str,
        'prompt': str,
        'prompt_ud_context_lines': int,
        'timeout': int,
        'max_output_tokens': int | None,
        'temperature': float | None,
        'top_p': float | None,
        'top_k': float | None,
        'thinking_budget': float | None,
        'tools': list[Any],
    },
    total=False,
)


class DifferBase(metaclass=TrackSubClasses):
    """The base class for differs."""

    __subclasses__: dict[str, type[DifferBase]] = {}
    __anonymous_subclasses__: list[type[DifferBase]] = []

    __kind__: str = ''

    __supported_directives__: dict[str, str] = {}  # this must be present, even if empty

    css_added_style = 'background-color:#d1ffd1;color:#082b08;'
    css_deltd_style = 'background-color:#fff0f0;color:#9c1c1c;text-decoration:line-through;'
    css_remvd_style = 'text-decoration:line-through;'

    def __init__(self, state: JobState) -> None:
        """

        :param state: the JobState.
        """
        self.job = state.job
        self.state = state

    @classmethod
    def differ_documentation(cls) -> str:
        """Generates simple differ documentation for use in the --features command line argument.

        :returns: A string to display.
        """
        result: list[str] = []
        for sc in TrackSubClasses.sorted_by_kind(cls):
            # default_directive = getattr(sc, '__default_directive__', None)
            result.extend((f'  * {sc.__kind__} - {sc.__doc__}',))
            if hasattr(sc, '__supported_directives__'):
                for key, doc in sc.__supported_directives__.items():
                    result.append(f'      {key} ... {doc}')
        result.append('\n[] ... Parameter can be supplied as unnamed value\n')
        return '\n'.join(result)

    @staticmethod
    def debugger_attached() -> bool:
        """Checks if the code is currently running within an external debugger (e.g. IDE).

        :returns: True if an external debugger is attached, False otherwise.
        """
        return sys.breakpointhook.__module__ != 'sys'

    @classmethod
    def normalize_differ(
        cls,
        differ_spec: dict[str, Any] | None,
        job_index_number: int | None = None,
        differ_defaults: _ConfigDifferDefaults | None = None,
    ) -> tuple[str, dict[str, Any]]:
        """Checks the differ_spec for its validity and applies default values.

        :param differ_spec: The differ as entered by the user; use "unified" if empty.
        :param job_index_number: The job index number.
        :returns: A validated differ_kind, directives tuple.
        """

        def directives_with_defaults(
            differ_spec: str, directives: dict[str, Any], differ_defaults: _ConfigDifferDefaults | None = None
        ) -> dict[str, Any]:
            """Obtain differ subdirectives that also contains defaults from the configuration.

            :param differ_spec: The differ as entered by the user; use "unified" if empty.
            :param directives: The differ directives as stated in the job.
            :param config: The configuration.
            :returns: directives inclusive of configuration defaults.
            """
            if differ_defaults is None:
                logger.info('No configuration object found to look for differ defaults')
                return directives

            differ_default = differ_defaults.get(differ_spec, {})
            if isinstance(differ_default, dict):
                # merge defaults from configuration (including dicts) into differ directives without overwriting them
                for key, value in differ_default.items():
                    if key in directives:
                        if directives[key] is None:  # for speed
                            directives[key] = value
                        elif isinstance(differ_default[key], dict) and isinstance(
                            directives[key],
                            dict,
                        ):
                            for subkey, subvalue in differ_default[key].items():
                                if key in directives and subkey not in directives[key]:
                                    directives[key][subkey] = subvalue
                        # elif isinstance(differ_default[key], list) and isinstance(directives[key], list):
                        #     directives[key] = list(set(directives[key] + differ_default[key]))
                    else:
                        directives[key] = value

            return directives

        differ_spec = differ_spec or {'name': 'unified'}
        directives = differ_spec.copy()
        differ_kind = directives.pop('name', '')
        if not differ_kind:
            if list(directives.keys()) == ['command']:
                differ_kind = 'command'
            else:
                raise ValueError(
                    f"Job {job_index_number}: Differ directive must have a 'name' sub-directive: {differ_spec}."
                )

        differcls: DifferBase | None = cls.__subclasses__.get(differ_kind, None)  # type: ignore[assignment]
        if not differcls:
            raise ValueError(f'Job {job_index_number}: No differ named {differ_kind}.')

        directives = directives_with_defaults(differ_kind, directives, differ_defaults)

        if hasattr(differcls, '__supported_directives__'):
            provided_keys = set(directives.keys())
            allowed_keys = set(differcls.__supported_directives__.keys())
            unknown_keys = provided_keys.difference(allowed_keys)
            if unknown_keys and '<any>' not in allowed_keys:
                raise ValueError(
                    f'Job {job_index_number}: Differ {differ_kind} does not support sub-directive(s) '
                    f'{", ".join(unknown_keys)} (supported: {", ".join(sorted(allowed_keys))}).'
                )

        return differ_kind, directives

    @classmethod
    def process(
        cls,
        differ_kind: str,
        directives: dict[str, Any],
        job_state: JobState,
        report_kind: Literal['text', 'markdown', 'html'] = 'text',
        tz: ZoneInfo | None = None,
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        """Process the differ.

        :param differ_kind: The name of the differ.
        :param directives: The directives.
        :param job_state: The JobState.
        :param report_kind: The report kind required.
        :param tz: The timezone of the report.
        :param _unfiltered_diff: Any previous diffs generated by the same filter, who can be used to generate a diff
           for a different report_kind.
        :returns: The output of the differ or an error message with traceback if it fails.
        """
        logger.info(f'Job {job_state.job.index_number}: Applying differ {differ_kind}, directives {directives}')
        differcls: type[DifferBase] | None = cls.__subclasses__.get(differ_kind)  # type: ignore[assignment]
        if differcls:
            try:
                return differcls(job_state).differ(directives, report_kind, _unfiltered_diff, tz)
            except Exception as e:
                # Differ failed
                if cls.debugger_attached():
                    raise
                logger.info(
                    f'Job {job_state.job.index_number}: Differ {differ_kind} with {directives=} encountered error {e}'
                )
                # Undo saving of new data since user won't see the diff
                job_state.delete_latest()

                job_state.exception = e
                job_state.traceback = job_state.job.format_error(e, traceback.format_exc())
                directives_text = (
                    ', '.join(f'{key}={value}' for key, value in directives.items()) if directives else 'None'
                )
                return {
                    'text': (
                        f'Differ {differ_kind} with directive(s) {directives_text} encountered an '
                        f'error:\n\n{job_state.traceback}'
                    ),
                    'markdown': (
                        f'## Differ {differ_kind} with directive(s) {directives_text} '
                        f'encountered an error:\n```\n{job_state.traceback}\n```\n'
                    ),
                    'html': (
                        f'<span style="color:red;font-weight:bold">Differ {differ_kind} with directive(s) '
                        f'{directives_text} encountered an error:<br>\n<br>\n'
                        f'<span style="font-family:monospace;white-space:pre-wrap;">{job_state.traceback}'
                        f'</span></span>'
                    ),
                }
        else:
            return {}

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        """Generate a formatted diff representation of data changes.

        Creates a diff representation in one or more output formats (text, markdown, or HTML).
        At minimum, this function must return output in the format specified by 'report_kind'.
        As results are memoized for performance optimization, it can generate up to all three formats simultaneously.

        :param state: The JobState.

        :param directives: The directives.
        :param report_kind: The report_kind for which a diff must be generated (at a minimum).
        :param _unfiltered_diff: Any previous diffs generated by the same filter, who can be used to generate a diff
           for a different report_kind.
        :param tz: The timezone of the report.
        :returns: An empty dict if there is no change, otherwise a dict with report_kind as key and diff as value
           (as a minimum for the report_kind requested).
        :raises RuntimeError: If the external diff tool returns an error.
        """
        raise NotImplementedError()

    @staticmethod
    def make_timestamp(
        timestamp: float,
        tz: ZoneInfo | None = None,
    ) -> str:
        """Format a timestamp as an RFC 5322 compliant datetime string.

        Converts a numeric timestamp to a formatted datetime string following the RFC 5322 (email) standard. When a
        timezone is provided, its full name, if known, is appended.

        :param timestamp: The timestamp.
        :param tz: The IANA timezone of the report.
        :returns: A datetime string in RFC 5322 (email) format or 'NEW' if timestamp is 0.
        """
        if timestamp:
            dt = datetime.fromtimestamp(timestamp).astimezone(tz=tz)
            # add timezone name if known
            if dt.strftime('%Z') != dt.strftime('%z')[:3]:
                cfws = f' ({dt.strftime("%Z")})'
            else:
                cfws = ''
            return dt.strftime('%a, %d %b %Y %H:%M:%S %z') + cfws
        else:
            return 'NEW'

    @staticmethod
    def html2text(data: str) -> str:
        """Converts html to text.

        :param data: the string in html format.
        :returns: the string in text format.
        """
        parser = html2text.HTML2Text()
        parser.unicode_snob = True
        parser.body_width = 0
        parser.ignore_images = True
        parser.single_line_break = True
        parser.wrap_links = False
        return '\n'.join(line.rstrip() for line in parser.handle(data).splitlines())

    def raise_import_error(self, package_name: str, error_message: str) -> None:
        """Raise ImportError for missing package.

        :param package_name: The name of the module/package that could not be imported.
        :param error_message: The error message from ImportError.

        :raises: ImportError.
        """
        raise ImportError(
            f"Job {self.job.index_number}: Python package '{package_name}' is not installed; cannot use "
            f"'differ: {self.__kind__}' ({self.job.get_location()})\n{error_message}"
        )


class UnifiedDiffer(DifferBase):
    """(Default) Generates a unified diff."""

    __kind__ = 'unified'

    __supported_directives__: dict[str, str] = {
        'context_lines': 'the number of context lines (default: 3)',
        'range_info': 'include range information lines (default: true)',
        'additions_only': 'keep only addition lines (default: false)',
        'deletions_only': 'keep only deletion lines (default: false)',
    }

    def unified_diff_to_html(self, diff: str) -> Iterator[str]:
        """
        Generates a colorized HTML table from unified diff, applying styles and processing based on job values.

        :param diff: the unified diff
        """

        def process_line(line: str, line_num: int, is_markdown: bool, monospace_style: str) -> str:
            """
            Processes each line for HTML output, handling special cases and styles.

            :param line: The line to analyze.
            :param line_num: The line number in the document.
            :param monospace_style: Additional style string for monospace text.

            :returns: The line processed into an HTML table row string.
            """
            # The style= string (or empty string) to add to an HTML tag.
            if line_num == 0:
                style = 'font-family:monospace;color:darkred;'
            elif line_num == 1:
                style = 'font-family:monospace;color:darkgreen;'
            elif line[0] == '+':  # addition
                style = f'{monospace_style}{self.css_added_style}'
            elif line[0] == '-':  # deletion
                style = f'{monospace_style}{self.css_deltd_style}'
            elif line[0] == ' ':  # context line
                style = monospace_style
            elif line[0] == '@':  # range information
                style = 'font-family:monospace;background-color:#fbfbfb;'
            elif line[0] == '/':  # informational header added by additions_only or deletions_only filters
                style = 'background-color:lightyellow;'
            else:
                raise RuntimeError('Unified Diff does not comform to standard!')
            style = f' style="{style}"' if style else ''

            if line_num > 1 and line[0] != '@':  # don't apply to headers or range information
                if is_markdown or line[0] == '/':  # our informational header
                    line = mark_to_html(line[1:], self.job.markdown_padded_tables)
                else:
                    line = linkify(line[1:])
            return f'<tr><td{style}>{line}</td></tr>'

        table_style = (
            ' style="border-collapse:collapse;font-family:monospace;white-space:pre-wrap;"'
            if self.job.monospace
            else ' style="border-collapse:collapse;"'
        )
        yield f'<table{table_style}>'
        is_markdown = self.state.is_markdown()
        monospace_style = 'font-family:monospace;' if self.job.monospace else ''
        for i, line in enumerate(diff.splitlines()):
            yield process_line(line, i, is_markdown, monospace_style)
        yield '</table>'

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        additions_only = directives.get('additions_only') or self.job.additions_only
        deletions_only = directives.get('deletions_only') or self.job.deletions_only
        out_diff: dict[Literal['text', 'markdown', 'html'], str] = {}
        if report_kind == 'html' and _unfiltered_diff is not None and 'text' in _unfiltered_diff:
            diff_text = _unfiltered_diff['text']
        else:
            empty_return: dict[Literal['text', 'markdown', 'html'], str] = {'text': '', 'markdown': '', 'html': ''}
            contextlines = directives.get('context_lines', self.job.contextlines)
            if contextlines is None:
                if additions_only or deletions_only:
                    contextlines = 0
                else:
                    contextlines = 3
            diff = list(
                difflib.unified_diff(
                    str(self.state.old_data).splitlines(),
                    str(self.state.new_data).splitlines(),
                    '@',
                    '@',
                    self.make_timestamp(self.state.old_timestamp, tz),
                    self.make_timestamp(self.state.new_timestamp, tz),
                    contextlines,
                    lineterm='',
                )
            )
            if not diff:
                self.state.verb = 'changed,no_report'
                return empty_return
            # replace tabs in header lines
            diff[0] = diff[0].replace('\t', ' ')
            diff[1] = diff[1].replace('\t', ' ')

            if additions_only:
                if len(self.state.old_data) and len(self.state.new_data) / len(self.state.old_data) <= 0.25:
                    diff = [
                        *diff[:2],
                        '/**Comparison type: Additions only**',
                        '/**Deletions are being shown as 75% or more of the content has been deleted**',
                        *diff[2:],
                    ]
                else:
                    head = '---' + diff[0][3:]
                    diff = [line for line in diff if line.startswith('+') or line.startswith('@')]
                    diff = [
                        line1
                        for line1, line2 in zip(['', *diff], [*diff, ''], strict=False)
                        if not (line1.startswith('@') and line2.startswith('@'))
                    ][1:]
                    diff = diff[:-1] if diff[-1].startswith('@') else diff
                    if len(diff) == 1 or len([line for line in diff if line.removeprefix('+').rstrip()]) == 2:
                        self.state.verb = 'changed,no_report'
                        return empty_return
                    diff = [head, diff[0], '/**Comparison type: Additions only**', *diff[1:]]
            elif deletions_only:
                head = '--- @' + diff[1][3:]
                diff = [line for line in diff if line.startswith('-') or line.startswith('@')]
                diff = [
                    line1
                    for line1, line2 in zip(['', *diff], [*diff, ''], strict=False)
                    if not (line1.startswith('@') and line2.startswith('@'))
                ][1:]
                diff = diff[:-1] if diff[-1].startswith('@') else diff
                if len(diff) == 1 or len([line for line in diff if line.removeprefix('-').rstrip()]) == 2:
                    self.state.verb = 'changed,no_report'
                    return empty_return
                diff = [diff[0], head, '/**Comparison type: Deletions only**', *diff[1:]]

            # remove range info lines if needed
            if directives.get('range_info') is False or (
                directives.get('range_info') is None and additions_only and (len(diff) < 4 or diff[3][0] != '/')
            ):
                diff = [line for line in diff if not line.startswith('@@ ')]

            diff_text = '\n'.join(diff)

            out_diff.update(
                {
                    'text': diff_text,
                    'markdown': diff_text,
                }
            )

        if report_kind == 'html':
            out_diff['html'] = '\n'.join(self.unified_diff_to_html(diff_text))

        return out_diff


class TableDiffer(DifferBase):
    """Generates a Python HTML table diff."""

    __kind__ = 'table'

    __supported_directives__: dict[str, str] = {
        'tabsize': 'tab stop spacing (default: 8)',
    }

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        out_diff: dict[Literal['text', 'markdown', 'html'], str] = {}
        if report_kind in {'text', 'markdown'} and _unfiltered_diff is not None and 'html' in _unfiltered_diff:
            table = _unfiltered_diff['html']
        else:
            tabsize = int(directives.get('tabsize', 8))
            html_diff = difflib.HtmlDiff(tabsize=tabsize)
            table = html_diff.make_table(
                str(self.state.old_data).splitlines(keepends=True),
                str(self.state.new_data).splitlines(keepends=True),
                self.make_timestamp(self.state.old_timestamp, tz),
                self.make_timestamp(self.state.new_timestamp, tz),
                True,
                3,
            )
            # fix table formatting
            table = table.replace('<th ', '<th style="font-family:monospace" ')
            table = table.replace('<td ', '<td style="font-family:monospace" ')
            table = table.replace(' nowrap="nowrap"', '')
            table = table.replace('<a ', '<a style="font-family:monospace;color:inherit" ')
            table = table.replace('<span class="diff_add"', '<span style="color:green;background-color:lightgreen"')
            table = table.replace('<span class="diff_sub"', '<span style="color:red;background-color:lightred"')
            table = table.replace('<span class="diff_chg"', '<span style="color:orange;background-color:lightyellow"')
            out_diff['html'] = table

        if report_kind in {'text', 'markdown'}:
            diff_text = self.html2text(table)
            out_diff.update(
                {
                    'text': diff_text,
                    'markdown': diff_text,
                }
            )

        return out_diff


class CommandDiffer(DifferBase):
    """Runs an external command to generate the diff."""

    __kind__ = 'command'

    __supported_directives__: dict[str, str] = {
        'command': 'The command to execute',
        'is_html': 'Whether the output of the command is HTML',
    }

    re_ptags = re.compile(r'^<p>|</p>$')
    re_htags = re.compile(r'<(/?)h\d>')
    re_tagend = re.compile(r'<(?!.*<).*>+$')

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        if self.job.monospace:
            head_html = '\n'.join(
                [
                    '<span style="font-family:monospace;white-space:pre-wrap;">',
                    # f"Using command differ: {directives['command']}",
                    f'<span style="color:darkred;">--- @ {self.make_timestamp(self.state.old_timestamp, tz)}</span>',
                    f'<span style="color:darkgreen;">+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}</span>',
                ]
            )
        else:
            head_html = '<br>\n'.join(
                [
                    '<span style="font-family:monospace;">',
                    # f"Using command differ: {directives['command']}",
                    f'<span style="color:darkred;">--- @ {self.make_timestamp(self.state.old_timestamp, tz)}</span>',
                    f'<span style="color:darkgreen;">+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}</span>',
                    '</span>',
                ]
            )

        out_diff: dict[Literal['text', 'markdown', 'html'], str] = {}
        command = directives['command']
        if report_kind == 'html' and _unfiltered_diff is not None and 'text' in _unfiltered_diff:
            diff_text = ''.join(_unfiltered_diff['text'].splitlines(keepends=True)[2:])
        else:
            old_data = self.state.old_data
            new_data = self.state.new_data
            if self.state.is_markdown():
                # protect the link anchor from being split (won't work)
                markdown_links_re = re.compile(r'\[(.*?)][(](.*?)[)]')
                old_data = markdown_links_re.sub(
                    lambda x: f'[{urllib.parse.quote(x.group(1))}]({x.group(2)})', str(old_data)
                )
                new_data = markdown_links_re.sub(
                    lambda x: f'[{urllib.parse.quote(x.group(1))}]({x.group(2)})', str(new_data)
                )

            # External diff tool
            with tempfile.TemporaryDirectory() as tmp_dir:
                tmp_path = Path(tmp_dir)
                old_file_path = tmp_path.joinpath('old_file')
                new_file_path = tmp_path.joinpath('new_file')
                if isinstance(old_data, str):
                    old_file_path.write_text(old_data)
                else:
                    old_file_path.write_bytes(old_data)
                if isinstance(new_data, str):
                    new_file_path.write_text(new_data)
                else:
                    new_file_path.write_bytes(new_data)
                cmdline = [*shlex.split(command), str(old_file_path), str(new_file_path)]
                proc = subprocess.run(cmdline, capture_output=True, text=True)  # noqa: S603 subprocess call
            if proc.stderr or proc.returncode > 1:
                raise RuntimeError(
                    f"Job {self.job.index_number}: External differ '{directives}' returned '{proc.stderr.strip()}' "
                    f'({self.job.get_location()})'
                ) from subprocess.CalledProcessError(proc.returncode, cmdline)
            if proc.returncode == 0:
                self.state.verb = 'changed,no_report'
                logger.info(
                    f"Job {self.job.index_number}: Command in differ 'command' returned 0 (no report) "
                    f'({self.job.get_location()})'
                )
                return {'text': '', 'markdown': '', 'html': ''}
            head_text = '\n'.join(
                [
                    # f"Using command differ: {directives['command']}",
                    f'\033[91m--- @ {self.make_timestamp(self.state.old_timestamp, tz)}\033[0m',
                    f'\033[92m+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}\033[0m',
                    '',
                ]
            )
            diff = proc.stdout
            if self.state.is_markdown():
                # undo the protection of the link anchor from being split
                diff = markdown_links_re.sub(lambda x: f'[{urllib.parse.unquote(x.group(1))}]({x.group(2)})', diff)
            if command.startswith('wdiff') and self.job.contextlines == 0:
                # remove lines that don't have any changes
                keeplines = []
                for line in diff.splitlines(keepends=True):
                    if any(x in line for x in {'{+', '+}', '[-', '-]'}):
                        keeplines.append(line)
                diff = ''.join(keeplines)
            if directives.get('is_html'):
                diff_text = self.html2text(diff)
                out_diff.update(
                    {
                        'text': head_text + diff_text,
                        'markdown': head_text + diff_text,
                        'html': head_html + diff,
                    }
                )
            else:
                diff_text = diff
                out_diff.update(
                    {
                        'text': head_text + diff_text,
                        'markdown': head_text + diff_text,
                    }
                )

        if report_kind == 'html' and 'html' not in out_diff:
            if command.startswith('wdiff'):
                # colorize output of wdiff
                out_diff['html'] = head_html + self.wdiff_to_html(diff_text)
            else:
                out_diff['html'] = head_html + html.escape(diff_text)

        if self.job.monospace and 'html' in out_diff:
            out_diff['html'] += '</span>'

        return out_diff

    def wdiff_to_html(self, diff: str) -> str:
        """
        Colorize output of wdiff.

        :param diff: The output of the wdiff command.
        :returns: The colorized HTML output.
        """
        html_diff = html.escape(diff)
        if self.state.is_markdown():
            # detect and fix multiline additions or deletions
            is_add = False
            is_del = False
            new_diff = []
            for line in html_diff.splitlines():
                if is_add:
                    line = '{+' + line
                    is_add = False
                elif is_del:
                    line = '[-' + line
                    is_del = False
                for match in re.findall(r'\[-|-]|{\+|\+}', line):
                    if match == '[-':
                        is_del = True
                    if match == '-]':
                        is_del = False
                    if match == '{+':
                        is_add = True
                    if match == '+}':
                        is_add = False
                if is_add:
                    line += '+}'
                elif is_del:
                    line += '-]'
                new_diff.append(line)
            html_diff = '<br>\n'.join(new_diff)

        # wdiff colorization (cannot be done with global CSS class as Gmail overrides it)
        html_diff = re.sub(
            r'\{\+(.*?)\+}',
            lambda x: f'<span style="{self.css_added_style}">{x.group(1)}</span>',
            html_diff,
            flags=re.DOTALL,
        )
        html_diff = re.sub(
            r'\[-(.*?)-]',
            lambda x: f'<span style="{self.css_deltd_style}">{x.group(1)}</span>',
            html_diff,
            flags=re.DOTALL,
        )
        if self.job.monospace:
            return f'<span style="font-family:monospace;white-space:pre-wrap">{html_diff}</span>'
        else:
            return html_diff


class DeepdiffDiffer(DifferBase):
    __kind__ = 'deepdiff'

    __supported_directives__: dict[str, str] = {
        'data_type': "either 'json' (default), 'yaml', or 'xml'",
        'ignore_order': 'Whether to ignore the order in which the items have appeared (default: false)',
        'ignore_string_case': 'Whether to be case-sensitive or not when comparing strings (default: false)',
        'significant_digits': (
            'The number of digits AFTER the decimal point to be used in the comparis: ston (default: no limit)'
        ),
        'compact': 'Whether to output a compact representation that also ignores changes of types (default: false)',
    }

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        if isinstance(DeepDiff, str):  # pragma: no cover
            self.raise_import_error('deepdiff', DeepDiff)
            raise RuntimeError()  # for type checker

        span_added = f'<span style="{self.css_added_style}">'
        span_deltd = f'<span style="{self.css_deltd_style}">'
        span_remvd = f'<span style="{self.css_remvd_style}">'

        def _pretty_deepdiff(
            ddiff: DeepDiff,
            report_kind: Literal['text', 'markdown', 'html'],
            compact: bool,
        ) -> str:
            """
            Customized version of deepdiff.serialization.SerializationMixin.pretty method, edited to include the
            values deleted or added and an option for colorized HTML output. The pretty human-readable string
            output for the diff object regardless of what view was used to generate the diff.
            """
            # Edited strings originally in deepdiff.serialization._get_pretty_form_text
            # See https://github.com/seperman/deepdiff/blob/master/deepdiff/serialization.py
            if compact:
                root = '⊤'  # noqa: RUF001 DOWN TACK
                if report_kind == 'html':
                    pretty_form_texts = {
                        'type_changes': (
                            f'{{diff_path}}: {span_deltd}{{val_t1}}</span> ⮕ {span_added}{{val_t2}}</span>'
                        ),
                        'values_changed': (
                            f'{{diff_path}}: {span_deltd}{{val_t1}}</span> ⮕ {span_added}{{val_t2}}</span>'
                        ),
                        'dictionary_item_added': f'{{diff_path}}: {span_added}{{val_t2}}</span>',
                        'dictionary_item_removed': f'{span_deltd}{{diff_path}}: {{val_t1}}</span>',
                        'iterable_item_added': f'{{diff_path}}: {span_added}{{val_t2}}</span>',
                        'iterable_item_removed': f'{span_deltd}{{diff_path}}: {{val_t1}}</span>',
                        'attribute_added': f'{{diff_path}}: {span_added}{{val_t2}}</span>',
                        'attribute_removed': f'{span_remvd}{{diff_path}}</span>: {span_deltd}{{val_t1}}</span>',
                        'set_item_added': f'⊤[{{val_t2}}]: {span_added}{{val_t1}}</span>',  # noqa: RUF001 DOWN TACK
                        'set_item_removed': (
                            f'{span_remvd}⊤[{{val_t1}}]</span>: {span_deltd}{{val_t2}}</span>'  # noqa: RUF001
                        ),
                        'repetition_change': (
                            f'{{diff_path}}: repetition change {span_deltd}{{val_t1}}</span> ⮕ '
                            f'{span_added}{{val_t2}}</span>'
                        ),
                    }
                else:
                    pretty_form_texts = {
                        'type_changes': '{diff_path}: {val_t1} → {val_t2}',
                        'values_changed': '{diff_path}: {val_t1} → {val_t2}',
                        'dictionary_item_added': '{diff_path}: new {val_t2}',
                        'dictionary_item_removed': '{diff_path}: removed {val_t1}',
                        'iterable_item_added': '{diff_path}: new {val_t2}',
                        'iterable_item_removed': '{diff_path}: removed {val_t1}',
                        'attribute_added': '{diff_path}: new {val_t2}',
                        'attribute_removed': '{diff_path}: removed {val_t1}',
                        'set_item_added': '⊤[{val_t2}]: new {val_t1}',  # noqa: RUF001 DOWN TACK
                        'set_item_removed': '⊤[{val_t1}]: removed {val_t2}',  # noqa: RUF001 DOWN TACK
                        'repetition_change': '{diff_path}: repetition change {val_t1} → {val_t2}',
                    }
            else:  # not compact
                root = 'root'
                if report_kind == 'html':
                    pretty_form_texts = {
                        'type_changes': (
                            'Type of {diff_path} changed from {type_t1} to {type_t2} and value changed '
                            f'from {span_deltd}{{val_t1}}</span> to {span_added}{{val_t2}}</span>.'
                        ),
                        'values_changed': (
                            f'Value of {{diff_path}} changed from {span_deltd}{{val_t1}}</span> to {span_added}'
                            '{val_t2}</span>.'
                        ),
                        'dictionary_item_added': (
                            f'Item {{diff_path}} added to dictionary as {span_added}{{val_t2}}</span>.'
                        ),
                        'dictionary_item_removed': (
                            f'Item {{diff_path}} removed from dictionary (was {span_deltd}{{val_t1}}</span>).'
                        ),
                        'iterable_item_added': (
                            f'Item {{diff_path}} added to iterable as {span_added}{{val_t2}}</span>.'
                        ),
                        'iterable_item_removed': (
                            f'Item {{diff_path}} removed from iterable (was {span_deltd}{{val_t1}}</span>).'
                        ),
                        'attribute_added': f'Attribute {{diff_path}} added as {span_added}{{val_t2}}</span>.',
                        'attribute_removed': f'Attribute {{diff_path}} removed (was {span_deltd}{{val_t1}}</span>).',
                        'set_item_added': f'Item root[{{val_t2}}] added to set as {span_added}{{val_t1}}</span>.',
                        'set_item_removed': (
                            f'Item root[{{val_t1}}] removed from set (was {span_deltd}{{val_t2}}</span>).'
                        ),
                        'repetition_change': (
                            f'Repetition change for item {{diff_path}} ({span_deltd}{{val_t2}}</span>).'
                        ),
                    }
                else:
                    pretty_form_texts = {
                        'type_changes': (
                            'Type of {diff_path} changed from {type_t1} to {type_t2} and value changed '
                            'from {val_t1} to {val_t2}.'
                        ),
                        'values_changed': 'Value of {diff_path} changed from {val_t1} to {val_t2}.',
                        'dictionary_item_added': 'Item {diff_path} added to dictionary as {val_t2}.',
                        'dictionary_item_removed': 'Item {diff_path} removed from dictionary (was {val_t1}).',
                        'iterable_item_added': 'Item {diff_path} added to iterable as {val_t2}.',
                        'iterable_item_removed': 'Item {diff_path} removed from iterable (was {val_t1}).',
                        'attribute_added': 'Attribute {diff_path} added as {val_t2}.',
                        'attribute_removed': 'Attribute {diff_path} removed (was {val_t1}).',
                        'set_item_added': 'Item root[{val_t2}] added to set as {val_t1}.',
                        'set_item_removed': 'Item root[{val_t1}] removed from set (was {val_t2}).',
                        'repetition_change': 'Repetition change for item {diff_path} ({val_t2}).',
                    }

            def indent_except_first(text: str, indent: str = '  ') -> str:
                """
                Indents all lines of a string except the first line.

                :param text: The input string (potentially multi-line).
                :param indent: The string to use for indentation (defaults to two spaces).

                :returns: The modified string with subsequent lines indented.
                """
                if not text:
                    return text
                lines = text.splitlines(keepends=True)
                return indent.join(lines)

            def _pretty_print_diff(ddiff: DiffLevel) -> str:
                """
                Customized version of deepdiff.serialization.pretty_print_diff() function, edited to include the
                values deleted or added.
                """

                def stringify_value(value: Any, type: str) -> str:
                    if compact:
                        if type in {'str', 'int', 'float'}:
                            return f"'{value}'"
                        elif type in {'dict', 'list'}:
                            value_string = yaml.safe_dump(
                                value,
                                default_flow_style=False,
                                width=999,
                                allow_unicode=True,
                                sort_keys=False,
                            )
                            value_list = value_string.splitlines(keepends=True)
                            if len(value_list) < 2:
                                return value_string
                            value_string = '\n    ' + '    '.join(value_list)
                            return value_string.rstrip()

                        else:
                            return str(value)
                    else:
                        if type in {'str', 'int', 'float'}:
                            return f'"{value}"'
                        elif type in {'dict', 'list'}:
                            return jsonlib.dumps(value, ensure_ascii=False, indent=2)
                        else:
                            return str(value)

                type_t1 = type(ddiff.t1).__name__
                val_t1 = stringify_value(ddiff.t1, type_t1)
                type_t2 = type(ddiff.t2).__name__
                val_t2 = stringify_value(ddiff.t2, type_t2)

                diff_path = ddiff.path(root=root)  # type: ignore[no-untyped-call]
                return '• ' + pretty_form_texts.get(
                    ddiff.report_type,
                    '',
                ).format(
                    diff_path=diff_path,
                    type_t1=type_t1,
                    type_t2=type_t2,
                    val_t1=val_t1,
                    val_t2=val_t2,
                )

            result = []
            for tree_item in ddiff.tree.values():
                for item_key in tree_item:
                    result.append(_pretty_print_diff(item_key))

            return '\n'.join(result)

        def deserialize_data(
            data: str | bytes, mime_type: str | None, data_type: str | None, data_label: Literal['Old', 'New']
        ) -> tuple[Any, dict | None]:
            """Deserializes the stored data.

            :param data: The stored data.
            :param mime_type: The MIME type of the data.
            :param data_type: The value of the data_type sub-parameter (overrides MIME type)
            :param data_label: Either old or new, used for error reporting

            :returns: The deserialized data, any errors
            """
            if not data:
                return data, None
            if data_type is None:
                if mime_type:
                    media_subtype = mime_type.split('/')[-1].split('+')[-1].split('x-')[-1]
                    if media_subtype in ('yaml', 'yml'):
                        data_type = 'yaml'
                    elif media_subtype == 'xml':
                        data_type = 'xml'
                    elif media_subtype == 'json':
                        data_type = 'json'
                    else:
                        logger.info(
                            f'Differ {self.__kind__} could not determine data type of {data_label} data from media '
                            f"type {mime_type}; defaulting to 'json'"
                        )
                        data_type = 'json'
                else:
                    logger.info(
                        f"Differ {self.__kind__} data_type for {data_label} data defaulted to 'json' as media type is "
                        'missing'
                    )
                    data_type = 'json'
            parsed_data: Any = ''
            if data_type == 'json':
                try:
                    parsed_data = jsonlib.loads(data)
                except jsonlib.JSONDecodeError as e:
                    self.state.exception = e
                    self.state.traceback = self.job.format_error(e, traceback.format_exc())
                    logger.error(
                        f'Job {self.job.index_number}: {data_label} data is invalid JSON: {e} '
                        f'({self.job.get_location()})'
                    )
                    logger.info(f'Job {self.job.index_number}: {data!r}')
                    return None, {
                        'text': f'Differ {self.__kind__} ERROR: {data_label} data is invalid JSON\n{e}',
                        'markdown': f'Differ {self.__kind__} **ERROR: {data_label} data is invalid JSON**\n{e}',
                        'html': f'Differ {self.__kind__} <b>ERROR: {data_label} data is invalid JSON</b>\n{e}',
                    }
            elif data_type == 'yaml':
                try:
                    parsed_data = yaml.safe_load(data)
                except yaml.YAMLError as e:
                    self.state.exception = e
                    self.state.traceback = self.job.format_error(e, traceback.format_exc())
                    logger.error(
                        f'Job {self.job.index_number}: {data_label} data is invalid YAML: {e} '
                        f'({self.job.get_location()})'
                    )
                    logger.info(f'Job {self.job.index_number}: {data!r}')
                    return None, {
                        'text': f'Differ {self.__kind__} ERROR: {data_label} data is invalid YAML\n{e}',
                        'markdown': f'Differ {self.__kind__} **ERROR: {data_label} data is invalid YAML**\n{e}',
                        'html': f'Differ {self.__kind__} <b>ERROR: {data_label} data is invalid YAML</b>\n{e}',
                    }
            elif data_type == 'xml':
                if isinstance(xmltodict, str):  # pragma: no cover
                    self.raise_import_error('xmltodict', xmltodict)
                    raise RuntimeError()  # for type checker
                try:
                    parsed_data = xmltodict.parse(data)
                except ExpatError as e:
                    self.state.exception = e
                    self.state.traceback = self.job.format_error(e, traceback.format_exc())
                    logger.error(
                        f'Job {self.job.index_number}: {data_label} data is invalid XML: {e} '
                        f'({self.job.get_location()})'
                    )
                    logger.info(f'Job {self.job.index_number}: {data!r}')
                    return None, {
                        'text': f'Differ {self.__kind__} ERROR: {data_label} data is invalid XML\n{e}',
                        'markdown': f'Differ {self.__kind__} **ERROR: {data_label} data is invalid XML**\n{e}',
                        'html': f'Differ {self.__kind__} <b>ERROR: {data_label} data is invalid XML</b>\n{e}',
                    }
            return parsed_data, None

        old_data, err = deserialize_data(
            self.state.old_data,
            self.state.old_mime_type,
            directives.get('data_type'),
            'Old',
        )
        if err:
            return err
        new_data, err = deserialize_data(
            self.state.new_data,
            self.state.new_mime_type,
            directives.get('data_type'),
            'New',
        )
        if err:
            return err
        ignore_order = bool(directives.get('ignore_order'))
        ignore_string_case = bool(directives.get('ignore_string_case'))
        significant_digits = directives.get('significant_digits')
        compact = bool(directives.get('compact'))
        ddiff = DeepDiff(
            old_data,
            new_data,
            cache_size=500,
            cache_purge_level=0,
            cache_tuning_sample_size=500,
            default_timezone=tz,
            ignore_order=ignore_order,
            ignore_string_type_changes=True,
            ignore_numeric_type_changes=True,
            ignore_string_case=ignore_string_case,
            significant_digits=significant_digits,
            verbose_level=min(2, max(0, math.ceil(3 - logger.getEffectiveLevel() / 10))),
        )
        diff_text = _pretty_deepdiff(ddiff, report_kind, compact)
        if not diff_text:
            self.state.verb = 'changed,no_report'
            return {'text': '', 'markdown': '', 'html': ''}

        self.job.set_to_monospace()
        if report_kind == 'html':
            html_diff = (
                f'<span style="font-family:monospace;white-space:pre-wrap;">'
                # f'Differ: {self.__kind__} for {data_type}\n'
                f'<span style="color:darkred;">--- @ {self.make_timestamp(self.state.old_timestamp, tz)}</span>\n'
                f'<span style="color:darkgreen;">+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}</span>\n'
                + diff_text.replace('][', ']<wbr>[')
                + '</span>'
            )
            return {'html': html_diff}
        else:
            text_diff = (
                # f'Differ: {self.__kind__} for {data_type}\n'
                f'--- @ {self.make_timestamp(self.state.old_timestamp, tz)}\n'
                f'+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}\n'
                f'{diff_text}'
            )
            return {'text': text_diff, 'markdown': text_diff}


class ImageDiffer(DifferBase):
    """Compares two images providing an image outlining areas that have changed."""

    __kind__ = 'image'

    __supported_directives__: dict[str, str] = {
        'data_type': (
            "'url' (to retrieve an image), 'ascii85' (Ascii85 data), 'base64' (Base64 data) or 'filename' (the path "
            "to an image file) (default: 'url')"
        ),
        'mse_threshold': (
            'the minimum mean squared error (MSE) between two images to consider them changed, if numpy in installed '
            '(default: 2.5)'
        ),
        'ai_google': 'Generative AI summary of changes (BETA)',
    }

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        warnings.warn(
            f'Job {self.job.index_number}: Using differ {self.__kind__}, which is BETA, may have bugs, and may '
            f'change in the future. Please report any problems or suggestions at '
            f'https://github.com/mborsetti/webchanges/discussions.',
            RuntimeWarning,
            stacklevel=1,
        )
        if isinstance(Image, str):  # pragma: no cover
            self.raise_import_error('pillow', Image)
            raise RuntimeError()  # for type checker
        if isinstance(httpx, str):  # pragma: no cover
            self.raise_import_error('httpx', httpx)
            raise RuntimeError()  # for type checker

        def load_image_from_web(url: str) -> Image.Image:
            """Fetches the image from an url."""
            logging.debug(f'Retrieving image from {url}')
            with httpx.stream('GET', url, timeout=10) as response:
                response.raise_for_status()
                return Image.open(BytesIO(b''.join(response.iter_bytes())))

        def load_image_from_file(filename: str) -> Image.Image:
            """Load an image from a file."""
            logging.debug(f'Reading image from {filename}')
            return Image.open(filename)

        def load_image_from_base64(base_64: str) -> Image.Image:
            """Load an image from an encoded bytes object."""
            logging.debug('Retrieving image from a base64 string')
            return Image.open(BytesIO(base64.b64decode(base_64)))

        def load_image_from_ascii85(ascii85: str) -> Image.Image:
            """Load an image from an encoded bytes object."""
            logging.debug('Retrieving image from an ascii85 string')
            return Image.open(BytesIO(base64.a85decode(ascii85)))

        def compute_diff_image(img1: Image.Image, img2: Image.Image) -> tuple[Image.Image, np.float64]:
            """Compute the difference between two images."""
            # Compute the absolute value of the pixel-by-pixel difference between the two images.
            diff_image = ImageChops.difference(img1, img2)

            # Compute the mean squared error between the images
            if not isinstance(np, str):
                diff_array = np.array(diff_image)
                mse_value = np.mean(np.square(diff_array))
            else:  # pragma: no cover
                mse_value = None

            # Create the diff image by overlaying this difference on a darkened greyscale background
            back_image = img1.convert('L')
            back_image_brightness = ImageStat.Stat(back_image).rms[0]
            back_image = ImageEnhance.Brightness(back_image).enhance(back_image_brightness / 225)

            # Convert the 'L' image to 'RGB' using a matrix that applies to yellow tint
            # The matrix has 12 elements: 4 for Red, 4 for Green, and 4 for Blue.
            # For yellow, we want Red and Green to copy the L values (1.0) and Blue to be zero.
            # The matrix is: [R, G, B, A] for each of the three output channels
            yellow_tint_matrix = (
                1.0,
                0.0,
                0.0,
                0.0,  # Red = 100% of the grayscale value
                1.0,
                0.0,
                0.0,
                0.0,  # Green = 100% of the grayscale value
                0.0,
                0.0,
                0.0,
                0.0,  # Blue = 0% of the grayscale value
            )

            # Apply the conversion
            diff_colored = diff_image.convert('RGB').convert('RGB', matrix=yellow_tint_matrix)

            final_img = ImageChops.add(back_image.convert('RGB'), diff_colored)
            final_img.format = img2.format

            return final_img, mse_value

        def ai_google(
            old_image: Image.Image,
            new_image: Image.Image,
            diff_image: Image.Image,
            directives: AiGoogleDirectives,
        ) -> tuple[str, str]:
            """Summarize changes in image using Generative AI (ALPHA).  Returns summary and model name."""
            logger.info(f'Job {self.job.index_number}: Running ai_google for {self.__kind__} differ')
            warnings.warn(
                f'Job {self.job.index_number}: Using differ {self.__kind__} with ai_google, which is ALPHA, '
                f'may have bugs, and may change in the future. Please report any problems or suggestions at '
                f'https://github.com/mborsetti/webchanges/discussions.',
                RuntimeWarning,
                stacklevel=1,
            )

            api_version = '1beta'
            # GOOGLE_AI_API_KEY deprecated end of 2025
            gemini_api_key = os.environ.get('GEMINI_API_KEY', '').rstrip()
            if not gemini_api_key:
                gemini_api_key = os.environ.get('GOOGLE_AI_API_KEY', '').rstrip()
                if gemini_api_key:
                    warnings.warn(
                        'The environment variable GOOGLE_AI_API_KEY is deprecated; please use GEMINI_API_KEY instead.',
                        DeprecationWarning,
                        stacklevel=1,
                    )
            if len(gemini_api_key) != 39:
                logger.error(
                    f'Job {self.job.index_number}: Environment variable GEMINI_API_KEY not found or is of the '
                    f'incorrect length {len(gemini_api_key)} ({self.job.get_location()})'
                )
                return (
                    f'## ERROR in summarizing changes using Google AI:\n'
                    f'Environment variable GEMINI_API_KEY not found or is of the incorrect length '
                    f'{len(gemini_api_key)}.\n',
                    '',
                )
            client = httpx.Client(http2=True, timeout=self.job.timeout)

            def _load_image(img_data: tuple[str, Image.Image]) -> dict[str, dict[str, str] | Exception | str]:
                img_name, image = img_data
                # Convert image to bytes
                img_byte_arr = BytesIO()
                image.save(img_byte_arr, format=image.format)
                image_data = img_byte_arr.getvalue()
                mime_type = f'image/{image.format.lower()}'  # type: ignore[union-attr]

                logger.info(
                    f'Job {self.job.index_number}: Loading {img_name} ({image.format}) to Google AI '
                    f'({len(image_data) / 1024:,.0f} kbytes)'
                )

                # Initial resumable upload request
                headers = {
                    'X-Goog-Upload-Protocol': 'resumable',
                    'X-Goog-Upload-Command': 'start',
                    'X-Goog-Upload-Header-Content-Length': str(len(image_data)),
                    'X-Goog-Upload-Header-Content-Type': mime_type,
                    'Content-Type': 'application/json',
                }
                data = {'file': {'display_name': 'TEXT'}}

                try:
                    response = client.post(
                        f'https://generativelanguage.googleapis.com/upload/v{api_version}/files?key={gemini_api_key}',
                        headers=headers,
                        json=data,
                    )
                except httpx.HTTPError as e:
                    return {'error': e, 'img_name': img_name}
                upload_url = response.headers['X-Goog-Upload-Url']

                # Upload the image data
                headers = {
                    'Content-Length': str(len(image_data)),
                    'X-Goog-Upload-Offset': '0',
                    'X-Goog-Upload-Command': 'upload, finalize',
                }
                try:
                    response = client.post(upload_url, headers=headers, content=image_data)
                except httpx.HTTPError as e:
                    return {'error': e, 'img_name': img_name}

                # Extract file URI from response
                file_info = response.json()
                file_uri = file_info['file']['uri']
                logger.info(f'Job {self.job.index_number}: {img_name.capitalize()} loaded to {file_uri}')

                return {
                    'file_data': {
                        'mime_type': mime_type,
                        'file_uri': file_uri,
                    }
                }

            # upload to Google
            additional_parts: list[dict[str, dict[str, str]]] = []
            executor = ThreadPoolExecutor()
            for additional_part in executor.map(
                _load_image,
                (
                    ('old image', old_image),
                    ('new image', new_image),
                    # ('differences image', diff_image),
                ),
            ):
                if 'error' not in additional_part:
                    additional_parts.append(additional_part)  # type: ignore[arg-type]
                else:
                    logger.error(
                        f'Job {self.job.index_number}: ai_google for {self.__kind__} HTTP Client error '
                        f'{type(additional_part["error"])} when loading {additional_part["img_name"]} to Google AI: '
                        f'{additional_part["error"]}'
                    )
                    return (
                        f'HTTP Client error {type(additional_part["error"])} when loading '
                        f'{additional_part["img_name"]} to Google AI: {additional_part["error"]}',
                        '',
                    )

            # system_instructions = (
            #     'You are a skilled journalist tasked with summarizing the key differences between two versions '
            #     'of the same image. The audience for your summary is already familiar with the image, so you can'
            #     'focus on the most significant changes.'
            # )
            # model_prompt = (
            #     'You are a skilled visual analyst tasked with analyzing two versions of an image and summarizing the '
            #     'key differences between them. The audience for your summary is already familiar with the '
            #     "image's content, so you should focus only on the most significant differences.\n\n"
            #     '**Instructions:**\n\n'
            #     # '1. Carefully examine the yellow areas in the image '
            #     f"{additional_parts[2]['file_data']['file_uri']}, identify the differences, and describe them.\n"
            #     f"2. Refer to the old version of the image {additional_parts[0]['file_data']['file_uri']} and the "
            #     f"new version {additional_parts[1]['file_data']['file_uri']}.\n"
            #     '3. You are only interested in those differences, such as additions, removals, or alterations, that '
            #     'modify the intended message or interpretation.\n'
            #     '4. Summarize the identified differences, except those ignored, in a clear and concise manner, '
            #     'explaining how the meaning has shifted or evolved in the new version compared to the old version '
            #     'only when necessary. Be specific and provide examples to illustrate your points when needed.\n'
            #     '5. If there are only additions to the image, then summarize the additions.\n'
            #     '6. Use Markdown formatting to structure your summary effectively. Use headings, bullet points, '
            #     'and other Markdown elements as needed to enhance readability.\n'
            #     '7. Restrict your analysis and summary to the information provided within these images. Do '
            #     'not introduce external information or assumptions.\n'
            # )
            system_instructions = (
                'You are a meticulous visual comparison agent. Your task is to analyze two images: an "old '
                'version" and a "new version". Your entire focus is on identifying and listing the concrete, '
                'factual differences between them.'
            )
            model_prompt = (
                '**Instructions:**\n'
                '\n'
                f'1.  **Identify Changes:** Directly compare the "new version" '
                f'{additional_parts[0]["file_data"]["file_uri"]} to the "old version" '
                f'{additional_parts[1]["file_data"]["file_uri"]} and identify all additions, removals, and alterations '
                'of visual elements.\n'
                '\n'
                '2.  **Filter for Significance:** From your initial list of changes, you must filter out any that '
                'are minor or cosmetic. A difference is only significant if it alters the core subject matter or '
                'the main message of the image.\n'
                '    *   **IGNORE:** Minor shifts in layout, small changes in color saturation or brightness, or '
                'other cosmetic adjustments that do not change what the image is depicting.\n'
                '    *   **FOCUS ON:** Tangible changes such as added objects, removed people, or altered text.\n'
                '\n'
                '3.  **Summarize the Differences:**\n'
                '    *   Present the significant differences as a bulleted list under the heading "Summary of '
                'Changes".\n'
                '    *   For each point, state the difference factually and concisely (e.g., "An apple was added '
                "to the table,\" \"The text on the sign was changed from 'Open' to 'Closed'\").\n"
                '    *   Only if a change directly and clearly alters the primary message or interpretation of the '
                'image, you may add a brief, one-sentence explanation of this shift. Do not speculate on deeper '
                'meanings.\n'
                '\n'
                '4.  **No Differences Found:** If you analyze both images and find no significant differences '
                'according to the criteria above, you must respond with only the phrase: "No significant '
                'differences were found between the two images." Do not attempt to find minor differences to report.\n'
                '\n'
                '5.  **Grounding:** Your entire analysis must be based solely on the visual information present in '
                'the two images. Do not make assumptions or introduce any external information.'
            )
            directives['thinking_budget'] = directives.get('thinking_budget', 24576)
            summary, model_version = AIGoogleDiffer._send_to_model(
                self.job,
                system_instructions,
                model_prompt,
                additional_parts=additional_parts,  # type: ignore[arg-type]
                directives=directives,
            )

            return summary, model_version

        data_type = directives.get('data_type', 'url')
        mse_threshold = directives.get('mse_threshold', 2.5)
        if not isinstance(self.state.old_data, str):
            raise ValueError('old_data is not a string')
        if not isinstance(self.state.new_data, str):
            raise ValueError('new_data is not a string')
        if data_type == 'url':
            old_image = load_image_from_web(self.state.old_data)
            new_image = load_image_from_web(self.state.new_data)
            old_data = f' (<a href="{self.state.old_data}" target="_blank">Old image</a>)'
            new_data = f' (<a href="{self.state.new_data}" target="_blank">New image</a>)'
        elif data_type == 'ascii85':
            old_image = load_image_from_ascii85(self.state.old_data)
            new_image = load_image_from_ascii85(self.state.new_data)
            old_data = ''
            new_data = ''
        elif data_type == 'base64':
            old_image = load_image_from_base64(self.state.old_data)
            new_image = load_image_from_base64(self.state.new_data)
            old_data = ''
            new_data = ''
        else:  # 'filename'
            old_image = load_image_from_file(self.state.old_data)
            new_image = load_image_from_file(self.state.new_data)
            old_data = f' (<a href="file://{self.state.old_data}" target="_blank">Old image</a>)'
            new_data = f' (<a href="file://{self.state.new_data}" target="_blank">New image</a>)'

        # Check formats  TODO: is it needed? under which circumstances?
        # if new_image.format != old_image.format:
        #     logger.info(f'Image formats do not match: {old_image.format} vs {new_image.format}')
        # else:
        #     logger.debug(f'image format is {old_image.format}')

        # Convert the images to a base64 object for HTML (before shrinking etc.)
        output_stream = BytesIO()
        old_image.save(output_stream, format=old_image.format)
        encoded_old = b64encode(output_stream.getvalue()).decode()
        if data_type == 'url':
            encoded_new = ''
        else:
            output_stream = BytesIO()
            new_image.save(output_stream, format=new_image.format)
            encoded_new = b64encode(output_stream.getvalue()).decode()

        # If needed, shrink the larger image
        if new_image.size != old_image.size:
            if new_image.size > old_image.size:
                logging.debug(f'Job {self.job.index_number}: Shrinking the new image')
                img_format = new_image.format
                new_image = new_image.resize(old_image.size, Image.Resampling.LANCZOS)
                new_image.format = img_format

            else:
                logging.debug(f'Job {self.job.index_number}: Shrinking the old image')
                img_format = old_image.format
                old_image = old_image.resize(new_image.size, Image.Resampling.LANCZOS)
                old_image.format = img_format

        if old_image == new_image:
            logger.info(f'Job {self.job.index_number}: New image is identical to the old one')
            self.state.verb = 'unchanged'
            return {'text': '', 'markdown': '', 'html': ''}

        diff_image, mse_value = compute_diff_image(old_image, new_image)
        if mse_value:
            logger.debug(f'Job {self.job.index_number}: MSE value {mse_value:.2f}')

        if mse_value and mse_value < mse_threshold:
            logger.info(
                f'Job {self.job.index_number}: MSE value {mse_value:.2f} below the threshold of {mse_threshold}; '
                f'considering changes not worthy of a report'
            )
            self.state.verb = 'changed,no_report'
            return {'text': '', 'markdown': '', 'html': ''}

        # prepare AI summary
        summary = ''
        model_version = ''
        if 'ai_google' in directives:
            summary, model_version = ai_google(old_image, new_image, diff_image, directives.get('ai_google', {}))

        # Prepare HTML output
        htm = [
            f'<span style="font-family:monospace">'
            # f'Differ: {self.__kind__} for {data_type}',
            f'<span style="color:darkred;">--- @ {self.make_timestamp(self.state.old_timestamp, tz)}{old_data}</span>',
            f'<span style="color:darkgreen;">+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}{new_data}'
            '</span>',
            '</span>',
            'New image:',
        ]
        if data_type == 'url':
            htm.append(f'<img src="{self.state.new_data}" style="max-width: 100%; display: block;">')
        else:
            htm.append(
                f'<img src="data:image/{(new_image.format or "").lower()};base64,{encoded_new}" '
                'style="max-width: 100%; display: block;">'
            )
        # Convert the difference image to a base64 object
        output_stream = BytesIO()
        diff_image.save(output_stream, format=diff_image.format)
        encoded_diff = b64encode(output_stream.getvalue()).decode()
        htm.extend(
            [
                'Differences from old (in yellow):',
                f'<img src="data:image/{(diff_image.format or "").lower()};base64,{encoded_diff}" '
                'style="max-width: 100%; display: block;">',
                'Old image:',
                f'<img src="data:image/{(old_image.format or "").lower()};base64,{encoded_old}" '
                'style="max-width: 100%; display: block;">',
            ]
        )
        changed_text = 'The image has changed; please see an HTML report for the visualization.'
        if not summary:
            return {
                'text': changed_text,
                'markdown': changed_text,
                'html': '<br>\n'.join(htm),
            }

        newline = '\n'  # For Python < 3.12 f-string {} compatibility
        back_n = '\\n'  # For Python < 3.12 f-string {} compatibility
        directives_for_str = {key: value for key, value in directives.items() if key != 'model'}
        if 'prompt' in directives_for_str:
            directives_for_str['prompt'] = '«custom»'
        directives_text = (
            (
                ' (ai_google directive(s): '
                + ', '.join(f'{key}={str(value).replace(newline, back_n)}' for key, value in directives_for_str.items())
                + ')'
            )
            if directives_for_str
            else ''
        )
        footer = f"Summary by Google Generative AI's model {model_version}{directives_text}."
        return {
            'text': (
                f'{summary}\n\n\nA visualization of differences is available in {__package__} HTML reports.'
                f'\n------------\n{footer}'
            ),
            'markdown': (
                f'{summary}\n\n\nA visualization of differences is available in {__package__} HTML reports.'
                f'\n* * *\n{footer}'
            ),
            'html': '<br>\n'.join(
                [
                    mark_to_html(summary, extras={'tables'}).replace('<h2>', '<h3>').replace('</h2>', '</h3>'),
                    '',
                    *htm,
                    '-----',
                    f'<i><small>{footer}</small></i>',
                ]
            ),
        }


class AIGoogleDiffer(DifferBase):
    """(Default) Generates a summary using Google Generative AI (Gemini models).

    Calls Google Gemini APIs; documentation at https://ai.google.dev/api/rest and tutorial at
    https://ai.google.dev/tutorials/rest_quickstart

    """

    __kind__ = 'ai_google'

    __supported_directives__: dict[str, str] = {
        'model': ('model name from https://ai.google.dev/gemini-api/docs/models/gemini (default: gemini-2.0-flash)'),
        'system_instructions': (
            'Optional tone and style instructions for the model (default: see documentation at'
            'https://webchanges.readthedocs.io/en/stable/differs.html#ai-google-diff)'
        ),
        'prompt': 'a custom prompt - {unified_diff}, {unified_diff_new}, {old_text} and {new_text} will be replaced',
        'additions_only': 'summarizes only added lines (including as a result of a change)',
        'prompt_ud_context_lines': 'the number of context lines for {unified_diff} (default: 9999)',
        'timeout': 'the number of seconds before timing out the API call (default: 300)',
        'max_output_tokens': "the maximum number of tokens returned by the model (default: None, i.e. model's default)",
        'temperature': "the model's Temperature parameter (default: 0.0)",
        'top_p': "the model's TopP parameter (default: None, i.e. model's default",
        'top_k': "the model's TopK parameter (default: None, i.e. model's default",
        'tools': "data passed on to the API's 'tools' field (default: None)",
        'unified': 'directives passed to the unified differ (default: None)',
    }
    __default_directive__ = 'model'

    @staticmethod
    def _send_to_model(
        job: JobBase,
        system_instructions: str,
        model_prompt: str,
        additional_parts: list[dict[str, str | dict[str, str]]] | None = None,
        directives: AiGoogleDirectives | None = None,
    ) -> tuple[str, str]:
        """Creates the summary request to the model; returns the summary and the version of the actual model used."""
        api_version = '1beta'
        if directives is None:
            directives = {}
        model = directives.get('model', 'gemini-2.0-flash')
        timeout = directives.get('timeout', 300)
        max_output_tokens = directives.get('max_output_tokens')
        temperature = directives.get('temperature', 0.0)
        top_p = directives.get('top_p', 1.0 if temperature == 0.0 else None)
        top_k = directives.get('top_k')
        # GOOGLE_AI_API_KEY deprecated end of 2025
        gemini_api_key = os.environ.get('GEMINI_API_KEY', '').rstrip()
        if not gemini_api_key:
            gemini_api_key = os.environ.get('GOOGLE_AI_API_KEY', '').rstrip()
            if gemini_api_key:
                warnings.warn(
                    'The environment variable GOOGLE_AI_API_KEY is deprecated; please use GEMINI_API_KEY instead.',
                    DeprecationWarning,
                    stacklevel=1,
                )
        if len(gemini_api_key) != 39:
            logger.error(
                f'Job {job.index_number}: Environment variable GEMINI_API_KEY not found or is of the '
                f'incorrect length {len(gemini_api_key)} ({job.get_location()})'
            )
            return (
                f'## ERROR in summarizing changes using Google AI:\n'
                f'Environment variable GEMINI_API_KEY not found or is of the incorrect length '
                f'{len(gemini_api_key)}.',
                '',
            )

        data: dict[str, Any] = {
            'system_instruction': {'parts': [{'text': system_instructions}]},
            'contents': [{'parts': [{'text': model_prompt}]}],
            'generationConfig': {
                'maxOutputTokens': max_output_tokens,
                'temperature': temperature,
                'topP': top_p,
                'topK': top_k,
            },
        }
        if additional_parts:
            data['contents'][0]['parts'].extend(additional_parts)
        if directives.get('tools'):
            data['tools'] = directives['tools']
        if directives.get('thinking_budget'):
            data['generationConfig'].update({'thinkingConfig': {'thinkingBudget': directives['thinking_budget']}})
        logger.info(f'Job {job.index_number}: Making the content generation request to Google AI model {model}')
        model_version = model  # default
        try:
            r = httpx.Client(http2=True).post(
                f'https://generativelanguage.googleapis.com/v{api_version}/models/{model}:generateContent?'
                f'key={gemini_api_key}',
                json=data,
                headers={'Content-Type': 'application/json'},
                timeout=timeout,
            )
            if r.is_success:
                result = r.json()
                candidate = result['candidates'][0]
                finish_reason = candidate['finishReason']
                model_version = result['modelVersion']
                logger.info(f'Job {job.index_number}: AI generation finished by {finish_reason} using {model_version}')
                logger.debug(
                    f'Job {job.index_number}: Used {result["usageMetadata"]["totalTokenCount"]:,} tokens, '
                    f'{result["usageMetadata"]["totalTokenCount"]:,} of which for the prompt.'
                )
                if 'content' in candidate:
                    if 'parts' in candidate['content']:
                        summary: str = candidate['content']['parts'][0]['text'].rstrip()
                    else:
                        summary = (
                            f'## ERROR in summarizing changes using Google AI:\n'
                            f'Model did not return any candidate output:\n'
                            f'finishReason={finish_reason}'
                            f'{jsonlib.dumps(result["usageMetadata"], ensure_ascii=True, indent=2)}'
                        )
                else:
                    summary = (
                        f'## ERROR in summarizing changes using Google AI:\n'
                        f'Model did not return any candidate output:\n'
                        f'{jsonlib.dumps(result, ensure_ascii=True, indent=2)}'
                    )

            elif r.status_code == 400:
                summary = (
                    f'## ERROR in summarizing changes using Google AI:\n'
                    f'Received error from {r.url.host}: '
                    f'{r.json().get("error", {}).get("message") or ""}'
                )
            else:
                summary = (
                    f'## ERROR in summarizing changes using Google AI:\n'
                    f'Received error {r.status_code} {r.reason_phrase} from '
                    f'{r.url.host}'
                )
                if r.content:
                    summary += f': {r.json().get("error", {}).get("message") or ""}'

        except httpx.HTTPError as e:
            summary = (
                f'## ERROR in summarizing changes using Google AI:\n'
                f'HTTP client error: {e} when requesting data from '
                f'{e.request.url.host}'
            )

        return summary, model_version

    def differ(
        self,
        directives: AiGoogleDirectives,  # type: ignore[override]
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        logger.info(f'Job {self.job.index_number}: Running the {self.__kind__} differ from hooks.py')
        warnings.warn(
            f'Job {self.job.index_number}: Using differ {self.__kind__}, which is BETA, may have bugs, and may '
            f'change in the future. Please report any problems or suggestions at '
            f'https://github.com/mborsetti/webchanges/discussions.',
            RuntimeWarning,
            stacklevel=1,
        )

        def get_ai_summary(prompt: str, system_instructions: str) -> tuple[str, str]:
            """Generate AI summary from unified diff, or an error message, plus the model version."""
            # GOOGLE_AI_API_KEY deprecated end of 2025
            gemini_api_key = os.environ.get('GEMINI_API_KEY', '').rstrip()
            if not gemini_api_key:
                gemini_api_key = os.environ.get('GOOGLE_AI_API_KEY', '').rstrip()
                if gemini_api_key:
                    warnings.warn(
                        'The environment variable GOOGLE_AI_API_KEY is deprecated; please use GEMINI_API_KEY instead.',
                        DeprecationWarning,
                        stacklevel=1,
                    )
            if len(gemini_api_key) != 39:
                logger.error(
                    f'Job {self.job.index_number}: Environment variable GEMINI_API_KEY not found or is of the '
                    f'incorrect length {len(gemini_api_key)} ({self.job.get_location()})'
                )
                return (
                    f'## ERROR in summarizing changes using Google AI:\n'
                    f'Environment variable GEMINI_API_KEY not found or is of the incorrect length '
                    f'{len(gemini_api_key)}.\n',
                    '',
                )

            if '{unified_diff' in prompt:  # matches unified_diff or unified_diff_new
                default_context_lines = 9999 if '{unified_diff}' in prompt else 0  # none if only unified_diff_new
                context_lines = directives.get('prompt_ud_context_lines', default_context_lines)
                unified_diff = '\n'.join(
                    difflib.unified_diff(
                        str(self.state.old_data).splitlines(),
                        str(self.state.new_data).splitlines(),
                        # '@',
                        # '@',
                        # self.make_timestamp(self.state.old_timestamp, tz),
                        # self.make_timestamp(self.state.new_timestamp, tz),
                        n=context_lines,
                    )
                )
                if not unified_diff:
                    # no changes
                    return '', ''
            else:
                unified_diff = ''

            if '{unified_diff_new}' in prompt:
                unified_diff_new_lines = []
                for line in unified_diff.splitlines():
                    if line.startswith('+'):
                        unified_diff_new_lines.append(line[1:])
                unified_diff_new = '\n'.join(unified_diff_new_lines)
            else:
                unified_diff_new = ''

            # check if data is different (same data is sent during testing)
            if '{old_text}' in prompt and '{new_text}' in prompt and self.state.old_data == self.state.new_data:
                return '', ''

            model_prompt = prompt.format(
                unified_diff=unified_diff,
                unified_diff_new=unified_diff_new,
                old_text=self.state.old_data,
                new_text=self.state.new_data,
            )

            summary, model_version = self._send_to_model(
                self.job,
                system_instructions,
                model_prompt,
                directives=directives,
            )

            return summary, model_version

        default_system_instructions = ''
        if directives.get('additions_only') or self.job.additions_only:
            default_prompt = '\n'.join(
                (
                    'You are an expert analyst AI, specializing in the meticulous summarization of change documents. '
                    'Your task is to summarize the provided unified diff in a clear and concise manner with 100% '
                    'fidelity. Restrict your analysis and summary *only* to the diff provided. Do not introduce any '
                    'external information or assumptions.',
                    '',
                    'Format your summary using Markdown. Use headings, bullet points, and other Markdown elements '
                    'where appropriate to create a well-structured and easily readable summary.',
                    '',
                    '{unified_diff_new}',
                )
            )
        else:
            default_prompt = '\n'.join(
                (
                    'You are an expert analyst AI, specializing in the meticulous comparison of documents. Your task '
                    'is to identify and summarize only the substantive differences between two versions of a text. '
                    'Your audience is already familiar with the original document and needs a concise summary of the '
                    'most significant changes in meaning or information.',
                    '',
                    '**Instructions:**',
                    '',
                    '1.  **Analyze the Texts:** Carefully review the document provided in the `<old_version>` and '
                    '`</old_version>` tags and the one in the `<new_version>` and `</new_version>` tags.',
                    '',
                    '2.  **Identify Substantive Changes:** Compare the two versions to identify all substantive '
                    'changes. A "substantive change" is defined as any modification that alters the core meaning, '
                    'intent, instructions, or factual information presented in the text. This includes, but is not '
                    'limited to:',
                    '*   Additions of new concepts, data, or requirements.',
                    '*   Deletions of existing information, arguments, or clauses.',
                    '*   Alterations to definitions, conclusions, instructions, or key takeaways.',
                    '',
                    '3.  **Exclude Non-Substantive Changes:** You must disregard any changes that are purely cosmetic, '
                    'typographical, or structural and do not alter the substantive meaning of the document. Explicitly '
                    'ignore the following:',
                    '*   Changes in page numbers, section/chapter numbering, or paragraph numbering.',
                    '*   Corrections of spelling, punctuation, or grammatical errors.',
                    '*   Modifications in formatting, layout, or font.',
                    '*   Rewording or rephrasing that does not change the underlying meaning or intent.',
                    '',
                    '4.  **Summarize Material Differences:** Create a summary of the identified substantive changes '
                    'with 100% fidelity. For each change, provide:',
                    '*   A clear heading identifying the relevant section (e.g., "Section 4: User Guidelines" or '
                    '"Chapteron Methodology").',
                    '*   A concise description of the modification, explaining whether it is an addition, deletion, or '
                    'alteration.',
                    '*   A brief analysis of how the change impacts the overall message or instructions, if not '
                    'immediately obvious.',
                    '',
                    '5.  **Output Format:**',
                    '*   Use Markdown for clear and structured presentation (e.g., headings and bullet points).',
                    '*   If no substantive changes are found, state this clearly.',
                    '*   If the changes consist only of additions, summarize the new content.',
                    '',
                    '6.  **Scope Limitation:** Base your analysis strictly on the provided text excerpts. Do not '
                    'infer or introduce any external context or information.',
                    '',
                    '<old_version>',
                    '{old_text}',
                    '</old_version>',
                    '',
                    '<new_version>',
                    '{new_text}',
                    '</new_version>',
                )
            )

        system_instructions = directives.get('system_instructions', default_system_instructions)
        prompt = directives.get('prompt', default_prompt).replace('\\n', '\n')
        summary, model_version = get_ai_summary(prompt, system_instructions)
        if not summary:
            self.state.verb = 'changed,no_report'
            return {'text': '', 'markdown': '', 'html': ''}
        newline = '\n'  # For Python < 3.12 f-string {} compatibility
        back_n = '\\n'  # For Python < 3.12 f-string {} compatibility
        directives_for_str = {key: value for key, value in directives.items() if key != 'model'}
        if 'prompt' in directives_for_str:
            directives_for_str['prompt'] = '«custom»'
        directives_text = (
            (
                ' (differ directive(s): '
                + ', '.join(f'{key}={str(value).replace(newline, back_n)}' for key, value in directives_for_str.items())
                + ')'
            )
            if directives_for_str
            else ''
        )
        footer = (
            f"Summary by Google Generative AI's model {model_version}{directives_text}."
            if model_version or directives_text
            else ''
        )
        temp_unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] = {}
        for rep_kind in ['text', 'html']:  # markdown is same as text
            unified_report = DifferBase.process(
                'unified',
                directives.get('unified') or {},  # type: ignore[arg-type]
                self.state,
                rep_kind,  # type: ignore[arg-type]
                tz,
                temp_unfiltered_diff,
            )
        return {
            'text': (f'{summary}\n\n{unified_report["text"]}' + (f'\n------------\n{footer}' if footer else '')),
            'markdown': (f'{summary}\n\n{unified_report["markdown"]}' + (f'\n* * *\n{footer}' if footer else '')),
            'html': '\n'.join(
                [
                    mark_to_html(summary, extras={'tables'}).replace('<h2>', '<h3>').replace('</h2>', '</h3>'),
                    '<br>',
                    '<br>',
                    unified_report['html'],
                ]
                + (['-----<br>', f'<i><small>{footer}</small></i>'] if footer else [])
            ),
        }


class WdiffDiffer(DifferBase):
    __kind__ = 'wdiff'

    __supported_directives__: dict[str, str] = {
        'context_lines': 'the number of context lines (default: 3)',
        'range_info': 'include range information lines (default: true)',
    }

    def differ(
        self,
        directives: dict[str, Any],
        report_kind: Literal['text', 'markdown', 'html'],
        _unfiltered_diff: dict[Literal['text', 'markdown', 'html'], str] | None = None,
        tz: ZoneInfo | None = None,
    ) -> dict[Literal['text', 'markdown', 'html'], str]:
        warnings.warn(
            f'Job {self.job.index_number}: Differ {self.__kind__} is WORK IN PROGRESS and has KNOWN bugs which '
            "are being worked on. DO NOT USE AS THE RESULTS WON'T BE CORRECT.",
            RuntimeWarning,
            stacklevel=1,
        )
        if not isinstance(self.state.old_data, str):
            raise ValueError
        if not isinstance(self.state.new_data, str):
            raise ValueError

        # Split the texts into words tokenizing newline
        if self.state.is_markdown():
            # Don't split spaces in link text, tokenize space as </s>
            old_data = re.sub(r'\[(.*?)\]', lambda x: '[' + x.group(1).replace(' ', '</s>') + ']', self.state.old_data)
            words1 = old_data.replace('\n', ' <\\n> ').split(' ')
            new_data = re.sub(r'\[(.*?)\]', lambda x: '[' + x.group(1).replace(' ', '</s>') + ']', self.state.new_data)
            words2 = new_data.replace('\n', ' <\\n> ').split(' ')
        else:
            words1 = self.state.old_data.replace('\n', ' <\\n> ').split(' ')
            words2 = self.state.new_data.replace('\n', ' <\\n> ').split(' ')

        # Create a Differ object
        import difflib

        d = difflib.Differ()

        # Generate a difference list
        diff = list(d.compare(words1, words2))

        add_html = '<span style="background-color:#d1ffd1;color:#082b08;">'
        rem_html = '<span style="background-color:#fff0f0;color:#9c1c1c;text-decoration:line-through;">'

        head_text = '\n'.join(
            [
                # f'Differ: wdiff',
                f'\033[91m--- @ {self.make_timestamp(self.state.old_timestamp, tz)}\033[0m',
                f'\033[92m+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}\033[0m',
                '',
            ]
        )
        head_html = '<br>\n'.join(
            [
                '<span style="font-family:monospace;">'
                # 'Differ: wdiff',
                f'<span style="color:darkred;">--- @ {self.make_timestamp(self.state.old_timestamp, tz)}</span>',
                f'<span style="color:darkgreen;">+++ @ {self.make_timestamp(self.state.new_timestamp, tz)}</span>'
                f'</span>',
                '',
            ]
        )
        # Process the diff output to make it more wdiff-like
        result_text = []
        result_html = []
        prev_word_text = ''
        prev_word_html = ''
        next_text = ''
        next_html = ''
        add = False
        rem = False

        for word_text in [*diff, '  ']:
            if word_text[0] == '?':  # additional context line
                continue
            word_html = word_text
            pre_text = [next_text] if next_text else []
            pre_html = [next_html] if next_html else []
            next_text = ''
            next_html = ''

            if word_text[0] == '+' and not add:  # Beginning of additions
                if rem:
                    prev_word_html += '</span>'
                    rem = False
                if word_text[2:] == '<\\n>':
                    next_text = '\033[92m'
                    next_html = add_html
                else:
                    pre_text.append('\033[92m')
                    pre_html.append(add_html)
                add = True
            elif word_text[0] == '-' and not rem:  # Beginning of deletions
                if add:
                    prev_word_html += '</span>'
                    add = False
                if word_text[2:] == '<\\n>':
                    next_text = '\033[91m'
                    next_html = rem_html
                else:
                    pre_text.append('\033[91m')
                    pre_html.append(rem_html)
                rem = True
            elif word_text[0] == ' ' and (add or rem):  # Unchanged word
                if prev_word_text == '<\\n>':
                    prev_word_text = '\033[0m<\\n>'
                    prev_word_html = '</span><\\n>'
                else:
                    prev_word_text += '\033[0m'
                    prev_word_html += '</span>'
                add = False
                rem = False
            elif word_text[2:] == '<\\n>':  # New line
                if add:
                    word_text = '  \033[0m<\\n>'
                    word_html = '  </span><\\n>'
                    add = False
                elif rem:
                    word_text = '  \033[0m<\\n>'
                    word_html = '  </span><\\n>'
                    rem = False

            result_text.append(prev_word_text)
            result_html.append(prev_word_html)
            pre_text.append(word_text[2:])
            pre_html.append(word_html[2:])
            prev_word_text = ''.join(pre_text)
            prev_word_html = ''.join(pre_html)
        if add or rem:
            result_text[-1] += '\033[0m'
            result_html[-1] += '</span>'

        # rebuild the text from words, replacing the newline token
        diff_text = ' '.join(result_text[1:]).replace('<\\n> ', '\n').replace('<\\n>', '\n')
        diff_html = ' '.join(result_html[1:]).replace('<\\n> ', '\n').replace('<\\n>', '\n')

        # build contextlines
        contextlines = directives.get('context_lines', self.job.contextlines)
        # contextlines = 999
        if contextlines is None:
            contextlines = 3
        range_info = directives.get('range_info', True)
        if contextlines < len(diff_text.splitlines()):
            lines_with_changes = []
            for i, line in enumerate(diff_text.splitlines()):
                if '\033[9' in line:
                    lines_with_changes.append(i)
            if contextlines:
                lines_to_keep: set[int] = set()
                for i in lines_with_changes:
                    lines_to_keep.update(r for r in range(i - contextlines, i + contextlines + 1))
            else:
                lines_to_keep = set(lines_with_changes)
            new_diff_text = []
            new_diff_html = []
            last_line = 0
            skip = False
            i = 0
            for i, (line_text, line_html) in enumerate(
                zip(diff_text.splitlines(), diff_html.splitlines(), strict=False)
            ):
                if i in lines_to_keep:
                    if range_info and skip:
                        new_diff_text.append(f'@@ {last_line + 1}...{i} @@')
                        new_diff_html.append(f'@@ {last_line + 1}...{i} @@')
                        skip = False
                    new_diff_text.append(line_text)
                    new_diff_html.append(line_html)
                    last_line = i + 1
                else:
                    skip = True
            if (i + 1) != last_line:
                if range_info and skip:
                    new_diff_text.append(f'@@ {last_line + 1}...{i + 1} @@')
                    new_diff_html.append(f'@@ {last_line + 1}...{i + 1} @@')
            diff_text = '\n'.join(new_diff_text)
            diff_html = '\n'.join(new_diff_html)

        if self.state.is_markdown():
            diff_text = diff_text.replace('</s>', ' ')
            diff_html = diff_html.replace('</s>', ' ')
            diff_html = mark_to_html(diff_html, self.job.markdown_padded_tables).replace('<p>', '').replace('</p>', '')

        if self.job.monospace:
            diff_html = f'<span style="font-family:monospace;white-space:pre-wrap">{diff_html}</span>'
        else:
            diff_html = diff_html.replace('\n', '<br>\n')

        return {
            'text': head_text + diff_text,
            'markdown': head_text + diff_text,
            'html': head_html + diff_html,
        }

mborsetti / webchanges / 16871375955

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