diff --git a/fastanime/cli/interactive/menu/media/provider_search.py b/fastanime/cli/interactive/menu/media/provider_search.py index 26ab5aa..876f183 100644 --- a/fastanime/cli/interactive/menu/media/provider_search.py +++ b/fastanime/cli/interactive/menu/media/provider_search.py @@ -1,5 +1,5 @@ from rich.progress import Progress -from thefuzz import fuzz +from .....core.utils.fuzzy import fuzz from .....libs.provider.anime.params import SearchParams from .....libs.provider.anime.types import SearchResult diff --git a/fastanime/cli/utils/completion.py b/fastanime/cli/utils/completion.py index 4bd00d8..cab0d0f 100644 --- a/fastanime/cli/utils/completion.py +++ b/fastanime/cli/utils/completion.py @@ -34,7 +34,7 @@ def get_anime_titles(query: str, variables: dict = {}): Returns: a boolean indicating success and none or an anilist object depending on success """ - from requests import post + from httpx import post try: response = post( diff --git a/fastanime/cli/utils/update.py b/fastanime/cli/utils/update.py index 547f888..06dcf92 100644 --- a/fastanime/cli/utils/update.py +++ b/fastanime/cli/utils/update.py @@ -6,7 +6,7 @@ import shutil import subprocess import sys -import requests +from httpx import get from rich import print from ...core.constants import AUTHOR, GIT_REPO, PROJECT_NAME_LOWER, __version__ @@ -17,7 +17,7 @@ API_URL = f"https://api.{GIT_REPO}/repos/{AUTHOR}/{PROJECT_NAME_LOWER}/releases/ def check_for_updates(): USER_AGENT = f"{PROJECT_NAME_LOWER} user" try: - request = requests.get( + response = get( API_URL, headers={ "User-Agent": USER_AGENT, @@ -29,8 +29,8 @@ def check_for_updates(): print("You are not connected to the internet") return True, {} - if request.status_code == 200: - release_json = request.json() + if response.status_code == 200: + release_json = response.json() remote_tag = list( map(int, release_json["tag_name"].replace("v", "").split(".")) ) @@ -51,7 +51,7 @@ def check_for_updates(): return (is_latest, release_json) else: print("Failed to check for updates") - print(request.text) + print(response.text) return (True, {}) diff --git a/fastanime/core/utils/fuzzy.py b/fastanime/core/utils/fuzzy.py new file mode 100644 index 0000000..cd00781 --- /dev/null +++ b/fastanime/core/utils/fuzzy.py @@ -0,0 +1,480 @@ +""" +Fuzzy string matching utilities with fallback implementation. + +This module provides a fuzzy matching class that uses thefuzz if available, +otherwise falls back to a pure Python implementation with the same API. + +Usage: + Basic usage with the convenience functions: + + >>> from fastanime.core.utils.fuzzy import fuzz + >>> fuzz.ratio("hello world", "hello") + 62 + >>> fuzz.partial_ratio("hello world", "hello") + 100 + + Using the FuzzyMatcher class directly: + + >>> from fastanime.core.utils.fuzzy import FuzzyMatcher + >>> matcher = FuzzyMatcher() + >>> matcher.backend + 'thefuzz' # or 'pure_python' if thefuzz is not available + >>> matcher.token_sort_ratio("fuzzy wuzzy", "wuzzy fuzzy") + 100 + + For drop-in replacement of thefuzz.fuzz: + + >>> from fastanime.core.utils.fuzzy import ratio, partial_ratio + >>> ratio("test", "best") + 75 +""" + +import logging +from typing import Any, Optional, Union + +logger = logging.getLogger(__name__) + +# Try to import thefuzz, fall back to pure Python implementation +try: + from thefuzz import fuzz as _fuzz_impl + THEFUZZ_AVAILABLE = True + logger.debug("Using thefuzz for fuzzy matching") +except ImportError: + _fuzz_impl = None + THEFUZZ_AVAILABLE = False + logger.debug("thefuzz not available, using fallback implementation") + + +class _PurePythonFuzz: + """ + Pure Python implementation of fuzzy string matching algorithms. + + This provides the same API as thefuzz.fuzz but with pure Python implementations + of the core algorithms. + """ + + @staticmethod + def _levenshtein_distance(s1: str, s2: str) -> int: + """ + Calculate the Levenshtein distance between two strings. + + Args: + s1: First string + s2: Second string + + Returns: + The Levenshtein distance as an integer + """ + if len(s1) < len(s2): + return _PurePythonFuzz._levenshtein_distance(s2, s1) + + if len(s2) == 0: + return len(s1) + + previous_row = list(range(len(s2) + 1)) + for i, c1 in enumerate(s1): + current_row = [i + 1] + for j, c2 in enumerate(s2): + # Cost of insertions, deletions and substitutions + insertions = previous_row[j + 1] + 1 + deletions = current_row[j] + 1 + substitutions = previous_row[j] + (c1 != c2) + current_row.append(min(insertions, deletions, substitutions)) + previous_row = current_row + + return previous_row[-1] + + @staticmethod + def _longest_common_subsequence(s1: str, s2: str) -> int: + """ + Calculate the length of the longest common subsequence. + + Args: + s1: First string + s2: Second string + + Returns: + Length of the longest common subsequence + """ + m, n = len(s1), len(s2) + dp = [[0] * (n + 1) for _ in range(m + 1)] + + for i in range(1, m + 1): + for j in range(1, n + 1): + if s1[i - 1] == s2[j - 1]: + dp[i][j] = dp[i - 1][j - 1] + 1 + else: + dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]) + + return dp[m][n] + + @staticmethod + def _normalize_string(s: str) -> str: + """ + Normalize a string for comparison by converting to lowercase and stripping whitespace. + + Args: + s: String to normalize + + Returns: + Normalized string + """ + return s.lower().strip() + + @staticmethod + def ratio(s1: str, s2: str) -> int: + """ + Calculate the similarity ratio between two strings using Levenshtein distance. + + Args: + s1: First string + s2: Second string + + Returns: + Similarity ratio as an integer from 0 to 100 + """ + if not s1 and not s2: + return 100 + if not s1 or not s2: + return 0 + + distance = _PurePythonFuzz._levenshtein_distance(s1, s2) + max_len = max(len(s1), len(s2)) + + if max_len == 0: + return 100 + + similarity = (max_len - distance) / max_len + return int(similarity * 100) + + @staticmethod + def partial_ratio(s1: str, s2: str) -> int: + """ + Calculate the partial similarity ratio between two strings. + + This finds the best matching substring and calculates the ratio for that. + + Args: + s1: First string + s2: Second string + + Returns: + Partial similarity ratio as an integer from 0 to 100 + """ + if not s1 or not s2: + return 0 + + if len(s1) <= len(s2): + shorter, longer = s1, s2 + else: + shorter, longer = s2, s1 + + best_ratio = 0 + for i in range(len(longer) - len(shorter) + 1): + substring = longer[i:i + len(shorter)] + ratio = _PurePythonFuzz.ratio(shorter, substring) + best_ratio = max(best_ratio, ratio) + + return best_ratio + + @staticmethod + def token_sort_ratio(s1: str, s2: str) -> int: + """ + Calculate similarity after sorting tokens in both strings. + + Args: + s1: First string + s2: Second string + + Returns: + Token sort ratio as an integer from 0 to 100 + """ + if not s1 or not s2: + return 0 + + # Normalize and split into tokens + tokens1 = sorted(_PurePythonFuzz._normalize_string(s1).split()) + tokens2 = sorted(_PurePythonFuzz._normalize_string(s2).split()) + + # Rejoin sorted tokens + sorted_s1 = ' '.join(tokens1) + sorted_s2 = ' '.join(tokens2) + + return _PurePythonFuzz.ratio(sorted_s1, sorted_s2) + + @staticmethod + def token_set_ratio(s1: str, s2: str) -> int: + """ + Calculate similarity using set operations on tokens. + + Args: + s1: First string + s2: Second string + + Returns: + Token set ratio as an integer from 0 to 100 + """ + if not s1 or not s2: + return 0 + + # Normalize and split into tokens + tokens1 = set(_PurePythonFuzz._normalize_string(s1).split()) + tokens2 = set(_PurePythonFuzz._normalize_string(s2).split()) + + # Find intersection and differences + intersection = tokens1 & tokens2 + diff1 = tokens1 - tokens2 + diff2 = tokens2 - tokens1 + + # Create sorted strings for comparison + sorted_intersection = ' '.join(sorted(intersection)) + sorted_diff1 = ' '.join(sorted(diff1)) + sorted_diff2 = ' '.join(sorted(diff2)) + + # Combine strings for comparison + combined1 = f"{sorted_intersection} {sorted_diff1}".strip() + combined2 = f"{sorted_intersection} {sorted_diff2}".strip() + + if not combined1 and not combined2: + return 100 + if not combined1 or not combined2: + return 0 + + return _PurePythonFuzz.ratio(combined1, combined2) + + @staticmethod + def partial_token_sort_ratio(s1: str, s2: str) -> int: + """ + Calculate partial similarity after sorting tokens. + + Args: + s1: First string + s2: Second string + + Returns: + Partial token sort ratio as an integer from 0 to 100 + """ + if not s1 or not s2: + return 0 + + # Normalize and split into tokens + tokens1 = sorted(_PurePythonFuzz._normalize_string(s1).split()) + tokens2 = sorted(_PurePythonFuzz._normalize_string(s2).split()) + + # Rejoin sorted tokens + sorted_s1 = ' '.join(tokens1) + sorted_s2 = ' '.join(tokens2) + + return _PurePythonFuzz.partial_ratio(sorted_s1, sorted_s2) + + @staticmethod + def partial_token_set_ratio(s1: str, s2: str) -> int: + """ + Calculate partial similarity using set operations on tokens. + + Args: + s1: First string + s2: Second string + + Returns: + Partial token set ratio as an integer from 0 to 100 + """ + if not s1 or not s2: + return 0 + + # Normalize and split into tokens + tokens1 = set(_PurePythonFuzz._normalize_string(s1).split()) + tokens2 = set(_PurePythonFuzz._normalize_string(s2).split()) + + # Find intersection and differences + intersection = tokens1 & tokens2 + diff1 = tokens1 - tokens2 + diff2 = tokens2 - tokens1 + + # Create sorted strings for comparison + sorted_intersection = ' '.join(sorted(intersection)) + sorted_diff1 = ' '.join(sorted(diff1)) + sorted_diff2 = ' '.join(sorted(diff2)) + + # Combine strings for comparison + combined1 = f"{sorted_intersection} {sorted_diff1}".strip() + combined2 = f"{sorted_intersection} {sorted_diff2}".strip() + + if not combined1 and not combined2: + return 100 + if not combined1 or not combined2: + return 0 + + return _PurePythonFuzz.partial_ratio(combined1, combined2) + + +class FuzzyMatcher: + """ + Fuzzy string matching class with the same API as thefuzz.fuzz. + + This class automatically uses thefuzz if available, otherwise falls back + to a pure Python implementation. + """ + + def __init__(self): + """Initialize the fuzzy matcher with the appropriate backend.""" + if THEFUZZ_AVAILABLE and _fuzz_impl is not None: + self._impl = _fuzz_impl + self._backend = "thefuzz" + else: + self._impl = _PurePythonFuzz + self._backend = "pure_python" + + logger.debug(f"FuzzyMatcher initialized with backend: {self._backend}") + + @property + def backend(self) -> str: + """Get the name of the backend being used.""" + return self._backend + + def ratio(self, s1: str, s2: str) -> int: + """ + Calculate the similarity ratio between two strings. + + Args: + s1: First string + s2: Second string + + Returns: + Similarity ratio as an integer from 0 to 100 + """ + try: + return self._impl.ratio(s1, s2) + except Exception as e: + logger.warning(f"Error in ratio calculation: {e}") + return 0 + + def partial_ratio(self, s1: str, s2: str) -> int: + """ + Calculate the partial similarity ratio between two strings. + + Args: + s1: First string + s2: Second string + + Returns: + Partial similarity ratio as an integer from 0 to 100 + """ + try: + return self._impl.partial_ratio(s1, s2) + except Exception as e: + logger.warning(f"Error in partial_ratio calculation: {e}") + return 0 + + def token_sort_ratio(self, s1: str, s2: str) -> int: + """ + Calculate similarity after sorting tokens in both strings. + + Args: + s1: First string + s2: Second string + + Returns: + Token sort ratio as an integer from 0 to 100 + """ + try: + return self._impl.token_sort_ratio(s1, s2) + except Exception as e: + logger.warning(f"Error in token_sort_ratio calculation: {e}") + return 0 + + def token_set_ratio(self, s1: str, s2: str) -> int: + """ + Calculate similarity using set operations on tokens. + + Args: + s1: First string + s2: Second string + + Returns: + Token set ratio as an integer from 0 to 100 + """ + try: + return self._impl.token_set_ratio(s1, s2) + except Exception as e: + logger.warning(f"Error in token_set_ratio calculation: {e}") + return 0 + + def partial_token_sort_ratio(self, s1: str, s2: str) -> int: + """ + Calculate partial similarity after sorting tokens. + + Args: + s1: First string + s2: Second string + + Returns: + Partial token sort ratio as an integer from 0 to 100 + """ + try: + return self._impl.partial_token_sort_ratio(s1, s2) + except Exception as e: + logger.warning(f"Error in partial_token_sort_ratio calculation: {e}") + return 0 + + def partial_token_set_ratio(self, s1: str, s2: str) -> int: + """ + Calculate partial similarity using set operations on tokens. + + Args: + s1: First string + s2: Second string + + Returns: + Partial token set ratio as an integer from 0 to 100 + """ + try: + return self._impl.partial_token_set_ratio(s1, s2) + except Exception as e: + logger.warning(f"Error in partial_token_set_ratio calculation: {e}") + return 0 + + def best_ratio(self, s1: str, s2: str) -> int: + """ + Get the best ratio from all available methods. + + Args: + s1: First string + s2: Second string + + Returns: + Best similarity ratio as an integer from 0 to 100 + """ + ratios = [ + self.ratio(s1, s2), + self.partial_ratio(s1, s2), + self.token_sort_ratio(s1, s2), + self.token_set_ratio(s1, s2), + self.partial_token_sort_ratio(s1, s2), + self.partial_token_set_ratio(s1, s2), + ] + return max(ratios) + + +# Create a default instance for convenience +fuzz = FuzzyMatcher() + +# Export the functions for drop-in replacement of thefuzz.fuzz +ratio = fuzz.ratio +partial_ratio = fuzz.partial_ratio +token_sort_ratio = fuzz.token_sort_ratio +token_set_ratio = fuzz.token_set_ratio +partial_token_sort_ratio = fuzz.partial_token_sort_ratio +partial_token_set_ratio = fuzz.partial_token_set_ratio + +__all__ = [ + 'FuzzyMatcher', + 'fuzz', + 'ratio', + 'partial_ratio', + 'token_sort_ratio', + 'token_set_ratio', + 'partial_token_sort_ratio', + 'partial_token_set_ratio', + 'THEFUZZ_AVAILABLE', +] diff --git a/fastanime/libs/aniskip/api.py b/fastanime/libs/aniskip/api.py index 6958ed0..7eb5faa 100644 --- a/fastanime/libs/aniskip/api.py +++ b/fastanime/libs/aniskip/api.py @@ -1,4 +1,4 @@ -import requests +from httpx import get ANISKIP_ENDPOINT = "https://api.aniskip.com/v1/skip-times" @@ -10,7 +10,7 @@ class AniSkip: cls, mal_id: int, episode_number: float | int, types=["op", "ed"] ): url = f"{ANISKIP_ENDPOINT}/{mal_id}/{episode_number}?types=op&types=ed" - response = requests.get(url) + response = get(url) print(response.text) return response.json() diff --git a/fastanime/libs/provider/manga/base.py b/fastanime/libs/provider/manga/base.py index 59c6bce..a4920ea 100644 --- a/fastanime/libs/provider/manga/base.py +++ b/fastanime/libs/provider/manga/base.py @@ -1,13 +1,18 @@ -import requests -from yt_dlp.utils.networking import random_user_agent +from httpx import Client +from ....core.utils.networking import random_user_agent class MangaProvider: - session: requests.Session + session: Client USER_AGENT = random_user_agent() HEADERS = {} def __init__(self) -> None: - self.session = requests.session() - self.session.headers.update({"User-Agent": self.USER_AGENT, **self.HEADERS}) + self.session = Client( + headers={ + "User-Agent": self.USER_AGENT, + **self.HEADERS, + }, + timeout=10, + ) diff --git a/fastanime/libs/provider/manga/common.py b/fastanime/libs/provider/manga/common.py index 43d780a..424ca4c 100644 --- a/fastanime/libs/provider/manga/common.py +++ b/fastanime/libs/provider/manga/common.py @@ -1,6 +1,6 @@ import logging -from requests import get +from httpx import get logger = logging.getLogger(__name__) diff --git a/fastanime/libs/provider/scraping/html_parser.py b/fastanime/libs/provider/scraping/html_parser.py index c6f9434..ed66f2a 100644 --- a/fastanime/libs/provider/scraping/html_parser.py +++ b/fastanime/libs/provider/scraping/html_parser.py @@ -9,7 +9,10 @@ Python's built-in html.parser or lxml for better performance when available. import logging import re from html.parser import HTMLParser as BaseHTMLParser -from typing import Dict, List, Optional, Tuple, Union +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union + +if TYPE_CHECKING: + from lxml import etree logger = logging.getLogger(__name__) @@ -54,7 +57,7 @@ class HTMLParser: """Initialize the HTML parser with configuration.""" self.config = config or HTMLParserConfig() - def parse(self, html_content: str) -> Union[etree._Element, 'ParsedHTML']: + def parse(self, html_content: str) -> Union[Any, 'ParsedHTML']: """ Parse HTML content and return a parsed tree. @@ -69,7 +72,7 @@ class HTMLParser: else: return self._parse_with_builtin(html_content) - def _parse_with_lxml(self, html_content: str) -> etree._Element: + def _parse_with_lxml(self, html_content: str) -> Any: """Parse HTML using lxml.""" try: # Use lxml's HTML parser which is more lenient @@ -230,7 +233,7 @@ def get_element_by_id(element_id: str, html_content: str) -> Optional[str]: """ parsed = _default_parser.parse(html_content) - if _default_parser.config.use_lxml: + if _default_parser.config.use_lxml and HAS_LXML: try: element = parsed.xpath(f'//*[@id="{element_id}"]') if element: @@ -259,7 +262,7 @@ def get_element_by_tag(tag_name: str, html_content: str) -> Optional[str]: """ parsed = _default_parser.parse(html_content) - if _default_parser.config.use_lxml: + if _default_parser.config.use_lxml and HAS_LXML: try: elements = parsed.xpath(f'//{tag_name}') if elements: @@ -288,7 +291,7 @@ def get_element_by_class(class_name: str, html_content: str) -> Optional[str]: """ parsed = _default_parser.parse(html_content) - if _default_parser.config.use_lxml: + if _default_parser.config.use_lxml and HAS_LXML: try: elements = parsed.xpath(f'//*[contains(@class, "{class_name}")]') if elements: @@ -318,7 +321,7 @@ def get_elements_by_tag(tag_name: str, html_content: str) -> List[str]: parsed = _default_parser.parse(html_content) results = [] - if _default_parser.config.use_lxml: + if _default_parser.config.use_lxml and HAS_LXML: try: elements = parsed.xpath(f'//{tag_name}') for element in elements: @@ -347,7 +350,7 @@ def get_elements_by_class(class_name: str, html_content: str) -> List[str]: parsed = _default_parser.parse(html_content) results = [] - if _default_parser.config.use_lxml: + if _default_parser.config.use_lxml and HAS_LXML: try: elements = parsed.xpath(f'//*[contains(@class, "{class_name}")]') for element in elements: @@ -396,7 +399,7 @@ def get_element_text_and_html_by_tag(tag_name: str, html_content: str) -> Tuple[ """ parsed = _default_parser.parse(html_content) - if _default_parser.config.use_lxml: + if _default_parser.config.use_lxml and HAS_LXML: try: elements = parsed.xpath(f'//{tag_name}') if elements: diff --git a/pyproject.toml b/pyproject.toml index 3602660..b9aa841 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,29 +6,30 @@ license = "UNLICENSE" readme = "README.md" requires-python = ">=3.10" dependencies = [ - "beautifulsoup4>=4.13.4", "click>=8.1.7", "httpx>=0.28.1", "inquirerpy>=0.3.4", - "libtorrent>=2.0.11", - "lxml>=6.0.0", - "pycryptodome>=3.21.0", "pydantic>=2.11.7", - "pypresence>=4.3.0", - "requests>=2.32.3", "rich>=13.9.2", - "thefuzz>=0.22.1", - "yt-dlp[default]>=2024.10.7", ] [project.scripts] fastanime = 'fastanime:Cli' [project.optional-dependencies] -standard = ["fastapi[standard]>=0.115.0", "mpv>=1.0.7", "plyer>=2.1.0"] -api = ["fastapi[standard]>=0.115.0"] +standard = [ + "mpv>=1.0.7", + "plyer>=2.1.0", + "libtorrent>=2.0.11", + "lxml>=6.0.0", + "pypresence>=4.3.0", + "thefuzz>=0.22.1", +] notifications = ["plyer>=2.1.0"] mpv = ["mpv>=1.0.7"] +torrent = ["libtorrent>=2.0.11"] +lxml = ["lxml>=6.0.0"] +discord = ["pypresence>=4.3.0"] [build-system] requires = ["hatchling"] diff --git a/uv.lock b/uv.lock index 5660a4a..69eb380 100644 --- a/uv.lock +++ b/uv.lock @@ -35,111 +35,6 @@ wheels = 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