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https://github.com/StefBuwalda/ProjectIOT.git
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__pycache__/models.cpython-312.pyc
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__pycache__/server.cpython-312.pyc
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application/__pycache__/__init__.cpython-312.pyc
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migrations/__pycache__/env.cpython-312.pyc
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migrations/versions/__pycache__/dcedd32468e2_.cpython-312.pyc
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@@ -1,8 +1,8 @@
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"""empty message
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Revision ID: ac8b1871be3d
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Revision ID: dcedd32468e2
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Revises:
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Create Date: 2025-04-22 22:32:26.012696
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Create Date: 2025-04-23 09:48:54.655874
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"""
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from alembic import op
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@@ -10,7 +10,7 @@ import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = 'ac8b1871be3d'
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revision = 'dcedd32468e2'
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down_revision = None
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branch_labels = None
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depends_on = None
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@@ -1,5 +1,5 @@
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port = 2222
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server = "192.168.137.1"
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data_path = "upload"
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ssid = "STEF"
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password = "TEST123123"
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data_path = "api"
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ssid = "stef"
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password = "test123123"
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@@ -1,44 +1,38 @@
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import urequests as requests
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import urequests
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import config
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from connection import connection
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from machine import Pin
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from time import sleep
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import random
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# Path to the image
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image_path = "car2.jpg"
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pin = Pin(15, Pin.OUT)
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wait_pin = Pin(13, Pin.OUT)
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good_pin = Pin(15, Pin.OUT)
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bad_pin = Pin(14, Pin.OUT)
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# Send the POST request with the raw image data as the body
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url = f"http://{config.server}:{config.port}/{config.data_path}"
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def send_image(image_file_path):
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with open(image_file_path, "rb") as f:
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image_data = f.read()
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headers = {"Content-Type": "image/jpeg"}
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response = urequests.post(url, headers=headers, data=image_data)
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return response.json()
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# Prepare the image for sending (open as binary)
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with open(image_path, "rb") as image_file:
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img_data = image_file.read()
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while connection.isconnected():
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# Send as multipart/form-data
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boundary = "----WebKitFormBoundary7MA4YWxkTrZu0gW"
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headers = {"Content-Type": "multipart/form-data; boundary=" + boundary}
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body = (
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(
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"--"
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+ boundary
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+ "\r\n"
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+ 'Content-Disposition: form-data; name="image"; filename="image.jpg"\r\n'
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+ "Content-Type: image/jpeg\r\n\r\n"
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).encode("utf-8")
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+ img_data
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+ ("\r\n--" + boundary + "--\r\n").encode("utf-8")
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)
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# Send the POST request with the raw image data as the body
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url = f"http://{config.server}:{config.port}/{config.data_path}"
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print(url)
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response = requests.post(url, headers=headers, data=body)
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good_pin.low()
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bad_pin.low()
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wait_pin.high()
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if random.choice([True, False]):
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response = send_image("1234.jpg")
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else:
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response = send_image("car2.jpg")
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print(response)
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print(response.status_code)
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print(response.text)
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if response.json()["status"]:
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pin.high()
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sleep(0.5)
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pin.low()
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response.close()
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sleep(2)
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wait_pin.low()
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if response["status"]:
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good_pin.high()
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else:
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bad_pin.high()
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sleep(1)
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13
server.py
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server.py
@@ -24,21 +24,15 @@ def home():
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return "Hello, World!"
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i = 0
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# API to process vehicle
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@app.route("/api", methods=["POST"])
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def data():
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data = request.data
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global i
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with open(f"image{i}.jpg", "wb") as f:
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with open("image.jpg", "wb") as f:
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f.write(data)
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status = asyncio.run(process_image(f"image{i}.jpg"))
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i += 1
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status = asyncio.run(process_image("image.jpg"))
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return jsonify(
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{
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"message": "Image sent succesfully",
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@@ -48,8 +42,9 @@ def data():
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async def process_image(file: str) -> bool:
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print("Processing image")
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anpr = ANPR()
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anpr_info: ... = await anpr.detect(file) # type: ignore
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anpr_info = await anpr.detect(file) # type: ignore
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number_plate = anpr_info["plate_number"]
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if number_plate:
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allowed = (
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