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11e7313 59062aa 11e7313 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 | import os
from flask import Flask,request,jsonify,make_response
from flask_bcrypt import Bcrypt
from functools import wraps
from flask_jwt_extended import JWTManager, create_access_token,unset_jwt_cookies, jwt_required, get_jwt_identity,decode_token
from dotenv import load_dotenv
from flask_cors import CORS
from qdrant_client import QdrantClient
from qdrant_client.http import models
from datetime import datetime, timedelta
from qdrant_client.models import PayloadSchemaType
from supabase import create_client
load_dotenv()
app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"] = os.getenv("DATABASE_URL")
db = create_client(os.getenv("DATABASE_URL"),os.getenv("SUPABASE_KEY"))
qdrant=QdrantClient(
url=os.getenv("Qdrant_url"),
api_key=os.getenv("Qdrant_api_key"),
)
qdrant.create_payload_index(
collection_name="found_items",
field_name="status",
field_schema=PayloadSchemaType.KEYWORD
)
DEFAULT_MIN_AGE_MINUTES = 60
DEFAULT_CONFIDENCE = 0.78
DEFAULT_TOP_K = 5
CORS(app, supports_credentials=True, origins=[os.getenv("CLIENT")])
print('Qdrant connected')
print("Posgres Connected")
def iso_now_minus(minutes):
return (datetime.utcnow() - timedelta(minutes=minutes)).isoformat()
@app.route("/admin/match-active-lost", methods=["POST"])
def match_active_lost():
body = request.get_json(silent=True) or {}
min_age_minutes = int(body.get("min_age_minutes", DEFAULT_MIN_AGE_MINUTES))
confidence_threshold = float(body.get("confidence_threshold", DEFAULT_CONFIDENCE))
top_k = int(body.get("top_k", DEFAULT_TOP_K))
cutoff = iso_now_minus(min_age_minutes)
lost_rows = (db.table("lostItem").select("*").eq("status","active").execute())
lost_items = [
{
"id": r.get("id"),
"user_id": r.get("user_id"),
"created_at": r.get("created_at")
}
for r in lost_rows.data
]
if not lost_items:
return jsonify({"message": "No eligible lost items found", "checked": 0}), 200
created_matches = []
errors = []
for lost in lost_items:
lost_id=int(lost["id"])
lost_user_id=str(lost["user_id"])
try:
point=qdrant.retrieve(collection_name="lost_items", ids=[lost_id], with_vectors=True)
if not point:
errors.append({"lost_id": lost_id, "error": "No vector found in Qdrant for this lost item"})
continue
lost_vector = point[0].vector
except Exception as e:
errors.append({"lost_id": lost_id, "error": f"Qdrant get_point failed: {str(e)}"})
continue
qfilter = models.Filter(
must=[models.FieldCondition(key="status", match=models.MatchValue(value="active"))]
)
try:
results = qdrant.search(
collection_name="found_items",
query_vector=lost_vector,
limit=top_k,
with_payload=True,
with_vectors=False,
query_filter=qfilter
)
except Exception as e:
errors.append({"lost_id": lost_id, "error": f"Qdrant search failed: {str(e)}"})
continue
for r in results:
score = float(r.score) if r.score is not None else None
if score is None:
continue
if score < confidence_threshold:
continue
found_point_payload = r.payload or {}
found_supabase_id = found_point_payload.get("id") or r.id
if lost_user_id == str(found_point_payload.get("user_id")):
continue
try:
existing_match=db.table("matches").select("lost_item_id","found_item_id").eq("found_item_id", found_supabase_id).eq("lost_item_id", lost_id).limit(1).execute()
if existing_match:
continue
except Exception as e:
errors.append({"lost_id": lost_id, "error": f"Database query failed: {str(e)}"})
continue
try:
match_record = db.table("matches").insert({
"lost_item_id": lost_id,
"found_item_id": found_supabase_id,
"confidence_score": score
}).execute()
created_matches.append({"lost_id": lost_id, "found_id": found_supabase_id, "similarity": score})
except Exception as e:
errors.append({"lost_id": lost_id, "found_id": found_supabase_id, "error": f"Supabase insert failed: {str(e)}"})
matches=(db.table("matches").select("id","lost_item_id","found_item_id","confidence_score").execute())
match_items = [
{
"id": r.get("id"),
"lost_id": int(r.get("lost_item_id")),
"found_id": int(r.get("found_item_id")),
"confidence_score": r.get("confidence_score")
}
for r in matches.data
]
for match in match_items:
already_exist_found=(db.table("lostItem").select("*").eq("user_id", match["lost_id"]).contains("found_items", [str(match["found_id"])]).limit(1).execute()
)
if already_exist_found:
continue
else:
res=(db.table("lostItem").select("*").eq("id", match["lost_id"]).limit(1).execute()
)
if not res.data:
found_item = None
else:
found_item = res.data[0]
current_lost_items = found_item.get("found_items") or []
if match["found_id"] not in current_lost_items:
current_lost_items.append(match["found_id"])
db.table("lostItem").update({"found_items": current_lost_items }).eq("id", match["lost_id"]).execute()
already_exist_found=( db.table("foundItem").select("*").eq("user_id", match["found_id"]).contains("lost_items", [str(match["lost_id"])]).limit(1).execute()
)
if already_exist_found:
continue
else:
res=(db.table("foundItem").select("lost_items").eq("id", match["found_id"]).limit(1).execute()
)
if not res.data:
found_item = None
else:
found_item = res.data[0]
current_lost_items = found_item.get("lost_items") or []
if match["lost_id"] not in current_lost_items:
current_lost_items.append(match["lost_id"])
db.table("foundItem").update({"lost_items": current_lost_items }).eq("id", match["found_id"]).execute()
return jsonify({
"checked_lost_count": len(lost_rows.data),
"created_matches_count": len(created_matches),
"created_matches": created_matches,
"errors": errors
}), 200
if __name__ == "__main__":
app.run(host="0.0.0.0",port=5000) |