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
@@ -1,12 +1,14 @@
"""JSON-based TV show repository implementation."""
from typing import List, Optional, Dict, Any
import logging
from domain.tv_shows.repositories import TVShowRepository
from domain.tv_shows.entities import TVShow
from domain.tv_shows.value_objects import ShowStatus
import logging
from datetime import datetime
from typing import Any
from domain.shared.value_objects import ImdbId
from ..memory import Memory
from domain.tv_shows.entities import TVShow
from domain.tv_shows.repositories import TVShowRepository
from domain.tv_shows.value_objects import ShowStatus
from infrastructure.persistence import get_memory
logger = logging.getLogger(__name__)
@@ -14,99 +16,121 @@ logger = logging.getLogger(__name__)
class JsonTVShowRepository(TVShowRepository):
"""
JSON-based implementation of TVShowRepository.
Stores TV shows in the memory.json file (compatible with existing tv_shows structure).
Stores TV shows 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, show: TVShow) -> None:
"""Save a TV show to the repository."""
shows = self._load_all()
"""
Save a TV show to the repository.
Updates existing show if IMDb ID matches.
Args:
show: TVShow entity to save.
"""
memory = get_memory()
shows = memory.ltm.library.get("tv_shows", [])
# Remove existing show with same IMDb ID
shows = [s for s in shows if s.get('imdb_id') != str(show.imdb_id)]
# Add new show
shows = [s for s in shows if s.get("imdb_id") != str(show.imdb_id)]
shows.append(self._to_dict(show))
# Save to memory
self.memory.set('tv_shows', shows)
memory.ltm.library["tv_shows"] = shows
memory.save()
logger.debug(f"Saved TV show: {show.imdb_id}")
def find_by_imdb_id(self, imdb_id: ImdbId) -> Optional[TVShow]:
"""Find a TV show by its IMDb ID."""
shows = self._load_all()
def find_by_imdb_id(self, imdb_id: ImdbId) -> TVShow | None:
"""
Find a TV show by its IMDb ID.
Args:
imdb_id: IMDb ID to search for.
Returns:
TVShow if found, None otherwise.
"""
memory = get_memory()
shows = memory.ltm.library.get("tv_shows", [])
for show_dict in shows:
if show_dict.get('imdb_id') == str(imdb_id):
if show_dict.get("imdb_id") == str(imdb_id):
return self._from_dict(show_dict)
return None
def find_all(self) -> List[TVShow]:
"""Get all TV shows in the repository."""
shows_dict = self._load_all()
def find_all(self) -> list[TVShow]:
"""
Get all TV shows in the repository.
Returns:
List of all TVShow entities.
"""
memory = get_memory()
shows_dict = memory.ltm.library.get("tv_shows", [])
return [self._from_dict(s) for s in shows_dict]
def delete(self, imdb_id: ImdbId) -> bool:
"""Delete a TV show from the repository."""
shows = self._load_all()
"""
Delete a TV show from the repository.
Args:
imdb_id: IMDb ID of show to delete.
Returns:
True if deleted, False if not found.
"""
memory = get_memory()
shows = memory.ltm.library.get("tv_shows", [])
initial_count = len(shows)
# Filter out the show
shows = [s for s in shows if s.get('imdb_id') != str(imdb_id)]
shows = [s for s in shows if s.get("imdb_id") != str(imdb_id)]
if len(shows) < initial_count:
self.memory.set('tv_shows', shows)
memory.ltm.library["tv_shows"] = shows
memory.save()
logger.debug(f"Deleted TV show: {imdb_id}")
return True
return False
def exists(self, imdb_id: ImdbId) -> bool:
"""Check if a TV show exists in the repository."""
"""
Check if a TV show 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 TV shows from memory."""
return self.memory.get('tv_shows', [])
def _to_dict(self, show: TVShow) -> Dict[str, Any]:
def _to_dict(self, show: TVShow) -> dict[str, Any]:
"""Convert TVShow entity to dict for storage."""
return {
'imdb_id': str(show.imdb_id),
'title': show.title,
'seasons_count': show.seasons_count,
'status': show.status.value,
'tmdb_id': show.tmdb_id,
'overview': show.overview,
'poster_path': show.poster_path,
'first_air_date': show.first_air_date,
'vote_average': show.vote_average,
'added_at': show.added_at.isoformat(),
"imdb_id": str(show.imdb_id),
"title": show.title,
"seasons_count": show.seasons_count,
"status": show.status.value,
"tmdb_id": show.tmdb_id,
"first_air_date": show.first_air_date,
"added_at": show.added_at.isoformat(),
}
def _from_dict(self, data: Dict[str, Any]) -> TVShow:
def _from_dict(self, data: dict[str, Any]) -> TVShow:
"""Convert dict from storage to TVShow entity."""
from datetime import datetime
return TVShow(
imdb_id=ImdbId(data['imdb_id']),
title=data['title'],
seasons_count=data['seasons_count'],
status=ShowStatus.from_string(data['status']),
tmdb_id=data.get('tmdb_id'),
overview=data.get('overview'),
poster_path=data.get('poster_path'),
first_air_date=data.get('first_air_date'),
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=data["title"],
seasons_count=data["seasons_count"],
status=ShowStatus.from_string(data["status"]),
tmdb_id=data.get("tmdb_id"),
first_air_date=data.get("first_air_date"),
added_at=(
datetime.fromisoformat(data["added_at"])
if data.get("added_at")
else datetime.now()
),
)