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from mistralai import Mistral
import os
import orjson
import time
MISTRAL_API_KEY = os.getenv("MISTRAL_API_KEY")
class ScoringService:
def __init__(self: "ScoringService"):
self.client = Mistral(api_key=MISTRAL_API_KEY)
self.model = "mistral-small-2409"
self.max_retries = 3
def is_similar(
self: "ScoringService", password: str, guess: str, theme: str
) -> bool:
messages = [
{
"role": "system",
"content": """
Return a similarity score between the two given words, relatively to a theme. Return the score in the range [0, 1] in a JSON format with the key 'score'
""",
},
{
"role": "user",
"content": f"Answer: {password}\nGuess: {guess}\nTheme: {theme}",
},
]
for attempt in range(self.max_retries):
try:
response = self.client.chat.complete(
model=self.model,
messages=messages,
temperature=0.0,
response_format={
"type": "json_object",
},
)
# Parse the response with orjson
parsed_response = orjson.loads(response.choices[0].message.content)
return parsed_response["score"]
except orjson.JSONDecodeError as e:
if attempt < self.max_retries - 1:
time.sleep(1)
else:
raise e
return 0.5
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