feat!: migrate to OpenAI native tool calls and fix circular deps (#fuck-gemini)

- Fix circular dependencies in agent/tools
- Migrate from custom JSON to OpenAI tool calls format
- Add async streaming (step_stream, complete_stream)
- Simplify prompt system and remove token counting
- Add 5 new API endpoints (/health, /v1/models, /api/memory/*)
- Add 3 new tools (get_torrent_by_index, add_torrent_by_index, set_language)
- Fix all 500 tests and add coverage config (80% threshold)
- Add comprehensive docs (README, pytest guide)

BREAKING: LLM interface changed, memory injection via get_memory()
This commit is contained in:
2025-12-06 19:11:05 +01:00
parent 2c8cdd3ab1
commit 9ca31e45e0
92 changed files with 7897 additions and 1786 deletions
@@ -1,11 +1,14 @@
"""JSON-based movie repository implementation."""
from typing import List, Optional, Dict, Any
import logging
from domain.movies.repositories import MovieRepository
import logging
from datetime import datetime
from typing import Any
from domain.movies.entities import Movie
from domain.shared.value_objects import ImdbId
from ..memory import Memory
from domain.movies.repositories import MovieRepository
from domain.movies.value_objects import MovieTitle, Quality, ReleaseYear
from domain.shared.value_objects import FilePath, FileSize, ImdbId
from infrastructure.persistence import get_memory
logger = logging.getLogger(__name__)
@@ -13,103 +16,129 @@ logger = logging.getLogger(__name__)
class JsonMovieRepository(MovieRepository):
"""
JSON-based implementation of MovieRepository.
Stores movies in the memory.json file.
Stores movies in the LTM library using the memory context.
"""
def __init__(self, memory: Memory):
"""
Initialize repository.
Args:
memory: Memory instance for persistence
"""
self.memory = memory
def save(self, movie: Movie) -> None:
"""Save a movie to the repository."""
movies = self._load_all()
"""
Save a movie to the repository.
Updates existing movie if IMDb ID matches.
Args:
movie: Movie entity to save.
"""
memory = get_memory()
movies = memory.ltm.library.get("movies", [])
# Remove existing movie with same IMDb ID
movies = [m for m in movies if m.get('imdb_id') != str(movie.imdb_id)]
# Add new movie
movies = [m for m in movies if m.get("imdb_id") != str(movie.imdb_id)]
movies.append(self._to_dict(movie))
# Save to memory
self.memory.set('movies', movies)
memory.ltm.library["movies"] = movies
memory.save()
logger.debug(f"Saved movie: {movie.imdb_id}")
def find_by_imdb_id(self, imdb_id: ImdbId) -> Optional[Movie]:
"""Find a movie by its IMDb ID."""
movies = self._load_all()
def find_by_imdb_id(self, imdb_id: ImdbId) -> Movie | None:
"""
Find a movie by its IMDb ID.
Args:
imdb_id: IMDb ID to search for.
Returns:
Movie if found, None otherwise.
"""
memory = get_memory()
movies = memory.ltm.library.get("movies", [])
for movie_dict in movies:
if movie_dict.get('imdb_id') == str(imdb_id):
if movie_dict.get("imdb_id") == str(imdb_id):
return self._from_dict(movie_dict)
return None
def find_all(self) -> List[Movie]:
"""Get all movies in the repository."""
movies_dict = self._load_all()
def find_all(self) -> list[Movie]:
"""
Get all movies in the repository.
Returns:
List of all Movie entities.
"""
memory = get_memory()
movies_dict = memory.ltm.library.get("movies", [])
return [self._from_dict(m) for m in movies_dict]
def delete(self, imdb_id: ImdbId) -> bool:
"""Delete a movie from the repository."""
movies = self._load_all()
"""
Delete a movie from the repository.
Args:
imdb_id: IMDb ID of movie to delete.
Returns:
True if deleted, False if not found.
"""
memory = get_memory()
movies = memory.ltm.library.get("movies", [])
initial_count = len(movies)
# Filter out the movie
movies = [m for m in movies if m.get('imdb_id') != str(imdb_id)]
movies = [m for m in movies if m.get("imdb_id") != str(imdb_id)]
if len(movies) < initial_count:
self.memory.set('movies', movies)
memory.ltm.library["movies"] = movies
memory.save()
logger.debug(f"Deleted movie: {imdb_id}")
return True
return False
def exists(self, imdb_id: ImdbId) -> bool:
"""Check if a movie exists in the repository."""
"""
Check if a movie exists in the repository.
Args:
imdb_id: IMDb ID to check.
Returns:
True if exists, False otherwise.
"""
return self.find_by_imdb_id(imdb_id) is not None
def _load_all(self) -> List[Dict[str, Any]]:
"""Load all movies from memory."""
return self.memory.get('movies', [])
def _to_dict(self, movie: Movie) -> Dict[str, Any]:
def _to_dict(self, movie: Movie) -> dict[str, Any]:
"""Convert Movie entity to dict for storage."""
return {
'imdb_id': str(movie.imdb_id),
'title': movie.title.value,
'release_year': movie.release_year.value if movie.release_year else None,
'quality': movie.quality.value,
'file_path': str(movie.file_path) if movie.file_path else None,
'file_size': movie.file_size.bytes if movie.file_size else None,
'tmdb_id': movie.tmdb_id,
'overview': movie.overview,
'poster_path': movie.poster_path,
'vote_average': movie.vote_average,
'added_at': movie.added_at.isoformat(),
"imdb_id": str(movie.imdb_id),
"title": movie.title.value,
"release_year": movie.release_year.value if movie.release_year else None,
"quality": movie.quality.value,
"file_path": str(movie.file_path) if movie.file_path else None,
"file_size": movie.file_size.bytes if movie.file_size else None,
"tmdb_id": movie.tmdb_id,
"added_at": movie.added_at.isoformat(),
}
def _from_dict(self, data: Dict[str, Any]) -> Movie:
def _from_dict(self, data: dict[str, Any]) -> Movie:
"""Convert dict from storage to Movie entity."""
from domain.movies.value_objects import MovieTitle, ReleaseYear, Quality
from domain.shared.value_objects import FilePath, FileSize
from datetime import datetime
# Parse quality string to enum
quality_str = data.get("quality", "unknown")
quality = Quality.from_string(quality_str)
return Movie(
imdb_id=ImdbId(data['imdb_id']),
title=MovieTitle(data['title']),
release_year=ReleaseYear(data['release_year']) if data.get('release_year') else None,
quality=Quality(data.get('quality', 'unknown')),
file_path=FilePath(data['file_path']) if data.get('file_path') else None,
file_size=FileSize(data['file_size']) if data.get('file_size') else None,
tmdb_id=data.get('tmdb_id'),
overview=data.get('overview'),
poster_path=data.get('poster_path'),
vote_average=data.get('vote_average'),
added_at=datetime.fromisoformat(data['added_at']) if data.get('added_at') else datetime.now(),
imdb_id=ImdbId(data["imdb_id"]),
title=MovieTitle(data["title"]),
release_year=(
ReleaseYear(data["release_year"]) if data.get("release_year") else None
),
quality=quality,
file_path=FilePath(data["file_path"]) if data.get("file_path") else None,
file_size=FileSize(data["file_size"]) if data.get("file_size") else None,
tmdb_id=data.get("tmdb_id"),
added_at=(
datetime.fromisoformat(data["added_at"])
if data.get("added_at")
else datetime.now()
),
)