| 1 | import os |
| 2 | import json |
| 3 | |
| 4 | from dotenv import load_dotenv |
| 5 | from google import genai |
| 6 | |
| 7 | |
| 8 | load_dotenv() |
| 9 | |
| 10 | API_KEY = os.getenv("GOOGLE_API_KEY") |
| 11 | client = genai.Client(api_key=API_KEY) |
| 12 | |
| 13 | class AIRequest: |
| 14 | def __init__(self): |
| 15 | self.genai_client = client |
| 16 | |
| 17 | def ai_request(self,data_string: str) -> dict: |
| 18 | """ |
| 19 | Function to get an AI request for a book recommendation |
| 20 | :param data_string: |
| 21 | :return: movie_recommendation |
| 22 | """ |
| 23 | response = self.genai_client.models.generate_content( |
| 24 | model="gemini-2.0-flash", |
| 25 | contents="""Can you recommend a movie for me based on my ratings of the given dataset, |
| 26 | with personal ratings form 0 to 10 as float values, please?: |
| 27 | "dataset":"""+data_string+""" |
| 28 | Please answer in the python dictionary format , so I can load the request into python. |
| 29 | Here an example: |
| 30 | {"movie": |
| 31 | {"title": "some title", |
| 32 | "director": "some director", |
| 33 | "year": "some year", |
| 34 | "poster": "movies's poster" as a string to load as link in html img tag, |
| 35 | "imdb": "some imdb id with only numbers please", |
| 36 | "country": "the country of the movie, |
| 37 | "genre": "the genre of the movie", |
| 38 | "plot": "the plot of the movie",}, |
| 39 | "reasoning": "your reasoning text"} |
| 40 | Please only answer with the above format and nothing else. |
| 41 | """ |
| 42 | ) |
| 43 | json_string = response.text.replace("```python", "") |
| 44 | movie_recommendation = json_string.replace("```", "") |
| 45 | movie_recommendation = json.loads(movie_recommendation) |
| 46 | return movie_recommendation |
| 47 | |
| 48 | |
| 49 | def ai_excluded_movie_request(self,data_string: str, excluded_movie: str) -> dict: |
| 50 | """ |
| 51 | Function to get an AI request for a movie recommendation excluding a ceratain movie |
| 52 | :param data_string: |
| 53 | :param excluded_movie: |
| 54 | :return: movie_recommendation |
| 55 | """ |
| 56 | response = self.genai_client.models.generate_content( |
| 57 | model="gemini-2.0-flash", |
| 58 | contents="""Can you recommend a movie for me based on my ratings of the given dataset, |
| 59 | with personal ratings form 0 to 10 as float values, please?: |
| 60 | "dataset":"""+data_string+""" and excluding the movie: """+excluded_movie+""" |
| 61 | Please answer in the python dictionary format , so I can load the request into python. |
| 62 | Here an example: |
| 63 | {"movie": |
| 64 | {"title": "some title", |
| 65 | "director": "some director", |
| 66 | "year": "some year", |
| 67 | "poster": "movies's poster" as a string to load as link in html img tag, |
| 68 | "imdb": "some imdb id with only numbers please", |
| 69 | "country": "the country of the movie, |
| 70 | "genre": "the genre of the movie", |
| 71 | "plot": "the plot of the movie",}, |
| 72 | "reasoning": "your reasoning text"} |
| 73 | Please only answer with the above format and nothing else. |
| 74 | """ |
| 75 | ) |
| 76 | json_string = response.text.replace("```python", "").replace("```", "") |
| 77 | movie_recommendation = json.loads(json_string) |
| 78 | return movie_recommendation |