commit 342776500281cca64a5438bed0391e2df557697c Author: Debarghya Das <debarghya1108@gmail.com> Date: Sat, 28 Feb 2026 03:30:00 +0000 initial commit Diffstat:
28 files changed, 1117 insertions(+), 0 deletions(-)
diff --git a/.gitignore b/.gitignore @@ -0,0 +1,4 @@ +/.venv +.env +node_modules/ +/web/node_modules diff --git a/Qdrant/Client.py b/Qdrant/Client.py @@ -0,0 +1,7 @@ +from qdrant_client import QdrantClient + +def get_client(): + return QdrantClient( + url="http://localhost:6333" # change if using cloud + # api_key="YOUR_API_KEY" + ) diff --git a/Qdrant/Search.py b/Qdrant/Search.py diff --git a/Qdrant/Setup.py b/Qdrant/Setup.py @@ -0,0 +1,17 @@ +from qdrant_client import models +from Qdrant.Client import QdrantClient # <--- FIXED IMPORT + +VECTOR_SIZE = 516 +COLLECTION_NAME = "farm_memory" + +client = QdrantClient(url="http://localhost:6333") + +client.recreate_collection( + collection_name=COLLECTION_NAME, + vectors_config=models.VectorParams( + size=VECTOR_SIZE, + distance=models.Distance.COSINE + ) +) + +print("Collection created:", COLLECTION_NAME) +\ No newline at end of file diff --git a/Qdrant/Store.py b/Qdrant/Store.py @@ -0,0 +1,20 @@ +from Qdrant.Client import QdrantClient # <--- FIXED IMPORT +from qdrant_client.models import PointStruct + +COLLECTION_NAME = "farm_memory" + +client = QdrantClient(url="http://localhost:6333") + +def store_fmu(fmu): + point = PointStruct( + id=fmu.id, + vector=fmu.vector, + payload=fmu.metadata + ) + + client.upsert( + collection_name=COLLECTION_NAME, + points=[point] + ) + + print("Stored FMU:", fmu.id) +\ No newline at end of file diff --git a/Qdrant/__pycache__/Client.cpython-311.pyc b/Qdrant/__pycache__/Client.cpython-311.pyc Binary files differ. diff --git a/Qdrant/__pycache__/Client.cpython-313.pyc b/Qdrant/__pycache__/Client.cpython-313.pyc Binary files differ. diff --git a/Qdrant/__pycache__/Setup.cpython-313.pyc b/Qdrant/__pycache__/Setup.cpython-313.pyc Binary files differ. diff --git a/Qdrant/__pycache__/Store.cpython-311.pyc b/Qdrant/__pycache__/Store.cpython-311.pyc Binary files differ. diff --git a/Qdrant/__pycache__/Store.cpython-313.pyc b/Qdrant/__pycache__/Store.cpython-313.pyc Binary files differ. diff --git a/Sentinel/Encoders/TimeSeries.py b/Sentinel/Encoders/TimeSeries.py @@ -0,0 +1,21 @@ +# encoders/sensor_encoder.py +import numpy as np + +class SensorEncoder: + def encode(self, sensors: dict): + """ + sensors = { + "pH": 5.9, + "EC": 1.3, + "temp": 25.0, + "humidity": 72.0 + } + """ + vec = np.array(list(sensors.values()), dtype=np.float32) + + # Normalize roughly into 0–1 range (hackathon-safe) + min_vals = np.array([4.0, 0.5, 10.0, 30.0]) + max_vals = np.array([7.0, 3.0, 40.0, 100.0]) + + norm_vec = (vec - min_vals) / (max_vals - min_vals) + return np.clip(norm_vec, 0.0, 1.0) diff --git a/Sentinel/Encoders/Vision.py b/Sentinel/Encoders/Vision.py @@ -0,0 +1,20 @@ +# encoders/clip_encoder.py +import torch +import clip +from PIL import Image + +class VisionEncoder: + def __init__(self, model_name="ViT-B/32"): + self.device = "cuda" if torch.cuda.is_available() else "cpu" + self.model, self.preprocess = clip.load(model_name, device=self.device) + self.model.eval() + + def encode(self, image_path: str): + image = self.preprocess(Image.open(image_path).convert("RGB")) \ + .unsqueeze(0).to(self.device) + + with torch.no_grad(): + vec = self.model.encode_image(image) + vec = vec / vec.norm(dim=-1, keepdim=True) + + return vec.cpu().numpy().flatten() +\ No newline at end of file diff --git a/Sentinel/Encoders/__pycache__/TimeSeries.cpython-311.pyc b/Sentinel/Encoders/__pycache__/TimeSeries.cpython-311.pyc Binary files differ. diff --git a/Sentinel/Encoders/__pycache__/TimeSeries.cpython-313.pyc b/Sentinel/Encoders/__pycache__/TimeSeries.cpython-313.pyc Binary files differ. diff --git a/Sentinel/Encoders/__pycache__/Vision.cpython-311.pyc b/Sentinel/Encoders/__pycache__/Vision.cpython-311.pyc Binary files differ. diff --git a/Sentinel/Encoders/__pycache__/Vision.cpython-313.pyc b/Sentinel/Encoders/__pycache__/Vision.cpython-313.pyc Binary files differ. diff --git a/Sentinel/Sample.png b/Sentinel/Sample.png Binary files differ. diff --git a/Sentinel/Test.py b/Sentinel/Test.py @@ -0,0 +1,24 @@ +# sentinel/test_sentinel.py +from agent import SentinelAgent + +agent = SentinelAgent() + +sensor_window = { + "pH": [5.8, 5.9, 6.0], + "EC": [1.2, 1.3, 1.25], + "temp": [24, 25, 24.5], + "humidity": [70, 72, 71] +} + +metadata = { + "crop": "lettuce", + "stage": "vegetative", + "rack": "A3" +} + +fmu = agent.create_fmu("sample_plant.jpg", sensor_window, metadata) + +print("FMU ID:", fmu.id) +print("Vector length:", len(fmu.vector)) +print("Quality:", fmu.quality) +print("Metadata:", fmu.metadata) diff --git a/Sentinel/__pycache__/agent.cpython-311.pyc b/Sentinel/__pycache__/agent.cpython-311.pyc Binary files differ. diff --git a/Sentinel/__pycache__/agent.cpython-313.pyc b/Sentinel/__pycache__/agent.cpython-313.pyc Binary files differ. diff --git a/Sentinel/__pycache__/fmu.cpython-311.pyc b/Sentinel/__pycache__/fmu.cpython-311.pyc Binary files differ. diff --git a/Sentinel/__pycache__/fmu.cpython-313.pyc b/Sentinel/__pycache__/fmu.cpython-313.pyc Binary files differ. diff --git a/Sentinel/agent.py b/Sentinel/agent.py @@ -0,0 +1,49 @@ +import uuid +from datetime import datetime +import numpy as np + +from Sentinel.Encoders.Vision import VisionEncoder +from Sentinel.Encoders.TimeSeries import SensorEncoder +from Sentinel.fmu import FMU +from Qdrant.Store import store_fmu + +class FMUBuilder: + def __init__(self): + self.vision = VisionEncoder() + self.sensors = SensorEncoder() + + def create_fmu(self, image_path, sensor_data, metadata=None): + img_vec = self.vision.encode(image_path) + sensor_vec = self.sensors.encode(sensor_data) + + fmu_vector = np.concatenate([img_vec, sensor_vec]).tolist() + + return FMU( + id=str(uuid.uuid4()), + vector=fmu_vector, + metadata={ + **(metadata or {}), + "timestamp": datetime.utcnow().isoformat() + } + ) + +if __name__ == "__main__": + builder = FMUBuilder() + + sensors = { + "pH": 5.9, + "EC": 1.3, + "temp": 25.0, + "humidity": 72.0 + } + + fmu = builder.create_fmu("Sentinel/Sample.png", sensors, { + "crop": "lettuce", + "stage": "vegetative" + }) + + print("FMU ID:", fmu.id) + print("Vector length:", len(fmu.vector)) + print("Metadata:", fmu.metadata) + + store_fmu(fmu) +\ No newline at end of file diff --git a/Sentinel/fmu.py b/Sentinel/fmu.py @@ -0,0 +1,9 @@ +# fmu.py +from dataclasses import dataclass +from typing import Dict, Any, List + +@dataclass +class FMU: + id: str + vector: List[float] + metadata: Dict[str, Any] diff --git a/backend/server b/backend/server @@ -0,0 +1 @@ +Subproject commit 8bbd3a84167c59eb61476a7e62e302a56ae85b7e diff --git a/package-lock.json b/package-lock.json @@ -0,0 +1,934 @@ +{ + "name": "Code", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "dependencies": { + "fastapi": "^0.0.8", + "lucide-react": "^0.562.0" + } + }, + "node_modules/accepts": { + "version": "1.3.8", + "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz", + "integrity": 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