54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
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# datetime.strptime(end_time, "%Y-%m-%d %H:%M:%S")
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import firebase_admin
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from firebase_admin import credentials, firestore
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import os
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from google.cloud.firestore_v1.base_query import FieldFilter
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from datetime import datetime
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key_path = os.getcwd() + '/keys/hpos-qa-firebase-adminsdk.json'
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cred = credentials.Certificate(key_path)
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firebase_admin.initialize_app(cred)
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def classify(calculatedRatio):
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if calculatedRatio < 0.05:
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return "Inconclusive. Very low Absorbance - Repeat test with Higher Blood Volume"
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if calculatedRatio > 0.05 and calculatedRatio < 0.155:
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return "Normal"
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if calculatedRatio > 0.155 and calculatedRatio < 0.175:
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return "Negative Borderline. Repeat Test"
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if calculatedRatio > 0.175 and calculatedRatio < 0.22:
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return "Sickle Cell Trait"
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if calculatedRatio > 0.22 and calculatedRatio < 0.25:
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return "Positive for Sickle Cell. HPLC for Confirmation"
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if calculatedRatio > 0.25 and calculatedRatio < 0.35:
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return "Sickle Cell Disease"
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if calculatedRatio > 0.35:
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return "Inconclusive. Repeat with test with lower volume of blood"
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def update_coefficent(source_collection):
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db = firestore.client()
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docs = db.collection(source_collection).where(filter = FieldFilter("deviceId", "==", "HC-V1-003")).stream()
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for doc in docs:
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doc_id = doc.id #doc.to_dict()["_id"]
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print(doc_id)
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slope = 0.5453
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intercept = 0.0099
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calculatedRatio = slope * doc.to_dict()["deviceRatio"] + intercept
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try:
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db.collection(source_collection).document(doc_id).update({
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"coefficients": [slope, intercept],
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"calculatedRatio": calculatedRatio,
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"classificationResult": classify(calculatedRatio)
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})
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print(f"Document with ID '{doc_id}' updated")
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except Exception as e:
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print(f"Error updating document with ID '{doc_id}' from the source collection: {e}")
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if __name__ == "__main__":
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update_coefficent("testData")
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