Working version

This commit is contained in:
2025-06-03 13:12:58 -04:00
parent e991862a01
commit 24dbe252de
3 changed files with 71 additions and 38 deletions

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@ -11,7 +11,7 @@ load_dotenv()
openai.api_key = OPENAI_API_KEY
MediaType = Literal["movie", "show"]
MediaType = Literal["movie", "tv"]
class Recommender:
def __init__(self):
@ -21,34 +21,39 @@ class Recommender:
if not watched_titles:
raise ValueError("No watched titles provided.")
prompt = self.build_prompt(watched_titles, media_type, max_recs)
available_titles = [item["title"] for item in self.cache.data if item["type"] == media_type]
prompt = self.build_prompt(watched_titles, available_titles, media_type, max_recs)
response = self.query_openai(prompt)
print("🧠 Prompt:", prompt)
print("📥 Raw response:", response)
all_titles = self.parse_titles(response)
print("📦 Parsed titles:", all_titles)
all_titles = self.parse_titles(response) # ✅ Bring this back
# Re-verify locally
available = [title for title in all_titles if self.cache.search(title, media_type)]
requestable = [title for title in all_titles if title not in available]
for title in all_titles:
match = self.cache.search(title, media_type)
print(f"{'' if match else ''} {title}")
return {
"available": available,
"requestable": requestable
"available": available[:max_recs],
"requestable": requestable[:max_recs]
}
def build_prompt(self, watched: List[str], media_type: str, max_recs: int) -> str:
def build_prompt(self, watched: List[str], available_titles: List[str], media_type: str, max_recs: int) -> str:
type_text = "movies" if media_type == "movie" else "TV shows"
# You could optionally summarize genres here
genre_summary = self.extract_common_genres(watched, media_type)
return (
f"A user has watched the following {type_text}: {', '.join(watched[:20])}. "
f"These shows are mostly {genre_summary}. "
f"Recommend {max_recs} similar {type_text} based on theme and tone. "
f"Return only a plain comma-separated list of titles — no numbers, no explanations."
f"""
The user has recently watched the following {type_text}: {', '.join(watched[:10])}.
Here is a list of {type_text} available on the Plex server: {', '.join(available_titles[:200])}.
Recommend 10 similar {type_text}. Select 5 that the user would like that are available on the server and 5 that are not available.
Return only a plain comma-separated list of titles.
"""
)
def extract_common_genres(self, watched: List[str], media_type: str) -> str:
@ -61,7 +66,6 @@ class Recommender:
top_genres = [g for g, _ in sorted_genres[:3]]
return ", ".join(top_genres) if top_genres else "varied genres"
def query_openai(self, prompt: str) -> str:
try:
response = openai.ChatCompletion.create(
@ -71,13 +75,12 @@ class Recommender:
{"role": "user", "content": prompt}
],
temperature=0.4,
max_tokens=150
max_tokens=300
)
return response.choices[0].message.content
except Exception as e:
print("⚠️ OpenAI API error:", e)
return ""
def parse_titles(self, response: str) -> List[str]:
lines = response.replace("\n", ",").split(",")
cleaned = []
@ -87,3 +90,13 @@ class Recommender:
if item:
cleaned.append(item)
return cleaned
def parse_split_titles(self, response: str) -> (List[str], List[str]):
available = []
requestable = []
for line in response.splitlines():
if line.lower().startswith("on plex:"):
available = [t.strip() for t in line.split(":", 1)[1].split(",") if t.strip()]
elif line.lower().startswith("not on plex:"):
requestable = [t.strip() for t in line.split(":", 1)[1].split(",") if t.strip()]
return available, requestable