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Create app.py
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app.py
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from fastapi import FastAPI
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import json
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import difflib
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from flair.models import SequenceTagger
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from flair.data import Sentence
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app = FastAPI()
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# Ladda Flair NER-modell för svenska
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tagger = SequenceTagger.load("flair/ner-swedish")
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# Ladda entiteter från entities.json
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with open("entities.json") as f:
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entities = json.load(f)
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ITEMS = set(entities["items"])
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COLORS = set(entities["colors"])
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PRICES = set(entities["prices"])
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def correct_spelling(word, valid_words, threshold=0.7):
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"""Korrigera stavfel."""
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normalized = word.rstrip("etn")
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matches = difflib.get_close_matches(normalized, valid_words, n=1, cutoff=threshold)
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return matches[0] if matches else word
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@app.post("/parse")
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async def parse_user_request(request: str):
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if not request or len(request) > 200:
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return {"error": "Ogiltig eller för lång begäran"}
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try:
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# Skapa Flair Sentence
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sentence = Sentence(request)
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# Prediktera NER-taggar
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tagger.predict(sentence)
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# Extrahera entiteter
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result_entities = {}
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# Först, kolla färger och priser i hela meningen
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words = request.lower().split()
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for word in words:
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if word in COLORS:
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result_entities["FÄRG"] = word
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elif word in PRICES:
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result_entities["PRIS"] = word
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# Extrahera varor från NER
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for entity in sentence.get_spans("ner"):
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if entity.tag in ["OBJ", "MISC", "PER"]: # Objekt, diverse, eller potentiella produkter
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corrected = correct_spelling(entity.text.lower(), ITEMS)
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if corrected in ITEMS:
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result_entities["VARA"] = corrected
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elif not result_entities.get("VARA"): # Fallback om ingen match i ITEMS
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result_entities["VARA"] = entity.text.lower()
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# Om ingen vara hittades
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if "VARA" not in result_entities:
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return {"result": "error:ingen vara"}
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# Skapa strukturerad sträng
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result_parts = [f"vara:{result_entities['VARA']}"]
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if "FÄRG" in result_entities:
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result_parts.append(f"färg:{result_entities['FÄRG']}")
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if "PRIS" in result_entities:
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result_parts.append(f"pris:{result_entities['PRIS']}")
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return {"result": ",".join(result_parts)}
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except Exception as e:
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return {"error": f"Fel vid parsning: {str(e)}"}
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@app.get("/")
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async def root():
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return {"message": "Request Parser API is running!"}
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