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{
"cells": [
{
"cell_type": "markdown",
"id": "8d8da681",
"metadata": {},
"source": [
"# Teleagriculture API Tests\n",
"\n",
"This notebook tests API endpoints to find the board with the most data points."
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "45dc5eca",
"metadata": {},
"outputs": [],
"source": [
"# Import required libraries\n",
"import requests\n",
"import json\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from typing import List, Dict, Optional\n",
"from datetime import datetime"
]
},
{
"cell_type": "markdown",
"id": "f61e398c",
"metadata": {},
"source": [
"## API Configuration\n",
"\n",
"Based on the teleagriculture project documentation, these are IoT hardware boards that send data to cloud platforms. This notebook demonstrates how to query a data platform that collects data from multiple teleagriculture boards."
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "0f5ac5fe",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"API: https://kits.teleagriculture.org/api\n",
"Auth: none\n"
]
}
],
"source": [
"# API Configuration for Teleagriculture Kits API (minimal)\n",
"BASE_URL = \"https://kits.teleagriculture.org/api\" # official kits API base\n",
"\n",
"# Optional: put KIT_API_KEY in env to POST; GETs are public per docs (but docs also mention bearer header; we support both)\n",
"import os\n",
"KIT_API_KEY = os.getenv(\"KIT_API_KEY\")\n",
"\n",
"HEADERS = {\n",
" \"Accept\": \"application/json\",\n",
"}\n",
"if KIT_API_KEY:\n",
" HEADERS[\"Authorization\"] = f\"Bearer {KIT_API_KEY}\"\n",
"\n",
"print(\"API:\", BASE_URL)\n",
"print(\"Auth:\", \"Bearer set\" if \"Authorization\" in HEADERS else \"none\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "9e43c541",
"metadata": {},
"outputs": [],
"source": [
"# Minimal helpers per official docs\n",
"from typing import Tuple, Optional\n",
"\n",
"def get_kit_info(kit_id: int) -> Optional[dict]:\n",
" url = f\"{BASE_URL}/kits/{kit_id}\"\n",
" try:\n",
" r = requests.get(url, headers=HEADERS, timeout=30)\n",
" if r.status_code == 200:\n",
" return r.json().get(\"data\")\n",
" return None\n",
" except requests.RequestException:\n",
" return None\n",
"\n",
"\n",
"def count_sensor_measurements(kit_id: int, sensor_name: str, page_size: int = 50, max_pages: int = 200) -> int:\n",
" \"\"\"Count all measurements for a kit sensor using cursor pagination.\n",
" Limits pages to avoid unbounded runs.\n",
" \"\"\"\n",
" total = 0\n",
" cursor = None\n",
" pages = 0\n",
" while pages < max_pages:\n",
" params = {\"page[size]\": str(page_size)}\n",
" if cursor:\n",
" params[\"page[cursor]\"] = cursor\n",
" url = f\"{BASE_URL}/kits/{kit_id}/{sensor_name}/measurements\"\n",
" try:\n",
" r = requests.get(url, headers=HEADERS, params=params, timeout=30)\n",
" except requests.RequestException:\n",
" break\n",
" if r.status_code == 404:\n",
" break\n",
" if r.status_code != 200:\n",
" break\n",
" try:\n",
" body = r.json()\n",
" except Exception:\n",
" break\n",
" data = body.get(\"data\")\n",
" if isinstance(data, list):\n",
" total += len(data)\n",
" else:\n",
" break\n",
" meta = body.get(\"meta\", {})\n",
" cursor = meta.get(\"next_cursor\")\n",
" pages += 1\n",
" if not cursor:\n",
" break\n",
" return total"
]
},
{
"cell_type": "markdown",
"id": "3b944747",
"metadata": {},
"source": [
"## Fetch Boards Function\n",
"\n",
"Function to retrieve all registered teleagriculture boards from the data platform API. Each \"board\" represents a deployed IoT device collecting agricultural data."
]
},
{
"cell_type": "markdown",
"id": "43460b20",
"metadata": {},
"source": [
"## Fetch all sensors for a kit and count in parallel\n",
"\n",
"Minimal helpers to grab all sensors from one kit and count each sensor’s datapoints concurrently."
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "bde9a436",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"KIT 1001 BEST {'sensor': 'NH3', 'count': 1221}\n"
]
}
],
"source": [
"from concurrent.futures import ThreadPoolExecutor, as_completed\n",
"\n",
"\n",
"def get_kit_sensors(kit_id: int) -> list[dict]:\n",
" kit = get_kit_info(kit_id)\n",
" if not kit:\n",
" return []\n",
" sensors = kit.get(\"sensors\") or []\n",
" # normalize: keep only id and name if present\n",
" out = []\n",
" for s in sensors:\n",
" if isinstance(s, dict) and s.get(\"name\"):\n",
" out.append({\"id\": s.get(\"id\"), \"name\": s.get(\"name\")})\n",
" return out\n",
"\n",
"\n",
"def count_all_sensors_for_kit(kit_id: int, page_size: int = 50, max_workers: int = 8) -> dict:\n",
" sensors = get_kit_sensors(kit_id)\n",
" if not sensors:\n",
" return {\"kit_id\": kit_id, \"counts\": {}, \"best\": None}\n",
"\n",
" counts: dict[str, int] = {}\n",
" best = {\"sensor\": None, \"count\": -1}\n",
"\n",
" def _worker(sname: str) -> tuple[str, int]:\n",
" c = count_sensor_measurements(kit_id, sname, page_size=page_size)\n",
" return sname, c\n",
"\n",
" with ThreadPoolExecutor(max_workers=max_workers) as ex:\n",
" futures = {ex.submit(_worker, s[\"name\"]): s[\"name\"] for s in sensors}\n",
" for fut in as_completed(futures):\n",
" sname = futures[fut]\n",
" try:\n",
" sname, c = fut.result()\n",
" counts[sname] = c\n",
" if c > best[\"count\"]:\n",
" best = {\"sensor\": sname, \"count\": c}\n",
" except Exception:\n",
" counts[sname] = 0\n",
" return {\"kit_id\": kit_id, \"counts\": counts, \"best\": best}\n",
"\n",
"# minimal run example (change the kit id here)\n",
"one_kit_result = count_all_sensors_for_kit(1001, page_size=50)\n",
"print(\"KIT\", one_kit_result[\"kit_id\"], \"BEST\", one_kit_result[\"best\"])"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "76457d0a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"📡 Board fetching function defined successfully!\n",
"🌿 Ready to query teleagriculture board data from platform API.\n"
]
}
],
"source": [
"def fetch_all_boards() -> List[Dict]:\n",
" \"\"\"\n",
" Fetch all registered teleagriculture boards from the data platform.\n",
" \n",
" Returns:\n",
" List[Dict]: List of board objects with metadata, or empty list if error occurs\n",
" \"\"\"\n",
" try:\n",
" # Common API endpoints for IoT platforms that might host teleagriculture data\n",
" possible_endpoints = [\n",
" \"/devices\", # Common IoT platform endpoint\n",
" \"/boards\", # Board-specific endpoint\n",
" \"/nodes\", # LoRaWAN nodes\n",
" \"/sensors\", # Sensor networks\n",
" \"/stations\" # Weather/agri stations\n",
" ]\n",
" \n",
" for endpoint in possible_endpoints:\n",
" try:\n",
" url = f\"{BASE_URL}{endpoint}\"\n",
" response = requests.get(url, headers=HEADERS, timeout=30)\n",
" \n",
" if response.status_code == 200:\n",
" data = response.json()\n",
" \n",
" # Handle different response formats\n",
" if isinstance(data, list):\n",
" boards = data\n",
" elif isinstance(data, dict):\n",
" # Try common keys for device arrays\n",
" for key in ['devices', 'boards', 'nodes', 'sensors', 'stations', 'data', 'results']:\n",
" if key in data and isinstance(data[key], list):\n",
" boards = data[key]\n",
" break\n",
" else:\n",
" boards = []\n",
" else:\n",
" boards = []\n",
" \n",
" if boards:\n",
" print(f\"✅ Successfully fetched {len(boards)} boards from {endpoint}\")\n",
" return boards\n",
" \n",
" except Exception as e:\n",
" continue # Try next endpoint\n",
" \n",
" print(\"❌ Could not find boards at any common endpoint\")\n",
" return []\n",
" \n",
" except requests.exceptions.RequestException as e:\n",
" print(f\"❌ Network error: {e}\")\n",
" return []\n",
" except json.JSONDecodeError as e:\n",
" print(f\"❌ JSON decode error: {e}\")\n",
" return []\n",
" except Exception as e:\n",
" print(f\"❌ Unexpected error: {e}\")\n",
" return []\n",
"\n",
"# Test the function (will be used later)\n",
"print(\"📡 Board fetching function defined successfully!\")\n",
"print(\"🌿 Ready to query teleagriculture board data from platform API.\")"
]
},
{
"cell_type": "markdown",
"id": "ec646dfe",
"metadata": {},
"source": [
"## Data Point Counting Function\n",
"\n",
"Function to count sensor data points collected by each teleagriculture board. This could include temperature readings, soil moisture, humidity, light levels, etc."
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "875bf5fc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"📡 Sensor data counting functions defined successfully!\n",
"🌱 Ready to analyze agricultural sensor data from teleagriculture boards.\n"
]
}
],
"source": [
"def count_board_data_points(board_id: str) -> int:\n",
" \"\"\"\n",
" Count sensor data points collected by a specific teleagriculture board.\n",
" \n",
" Args:\n",
" board_id (str): The ID of the teleagriculture board\n",
" \n",
" Returns:\n",
" int: Number of data points (sensor readings) collected by the board\n",
" \"\"\"\n",
" try:\n",
" # Teleagriculture boards typically send sensor data to these types of endpoints\n",
" possible_endpoints = [\n",
" f\"/devices/{board_id}/data\", # Device data endpoint\n",
" f\"/devices/{board_id}/measurements\", # Measurement endpoint \n",
" f\"/devices/{board_id}/sensors\", # Sensor readings\n",
" f\"/boards/{board_id}/readings\", # Board readings\n",
" f\"/nodes/{board_id}/uplinks\", # LoRaWAN uplink messages\n",
" f\"/stations/{board_id}/observations\" # Weather station observations\n",
" ]\n",
" \n",
" for endpoint in possible_endpoints:\n",
" try:\n",
" url = f\"{BASE_URL}{endpoint}\"\n",
" response = requests.get(url, headers=HEADERS, timeout=30)\n",
" \n",
" if response.status_code == 200:\n",
" data = response.json()\n",
" \n",
" # Handle different data formats from IoT platforms\n",
" if isinstance(data, list):\n",
" count = len(data)\n",
" elif isinstance(data, dict):\n",
" # Try common keys for sensor data arrays\n",
" for key in ['measurements', 'readings', 'data', 'sensors', 'uplinks', 'observations', 'records']:\n",
" if key in data and isinstance(data[key], list):\n",
" count = len(data[key])\n",
" break\n",
" else:\n",
" # Count sensor types if structured differently\n",
" sensor_keys = ['temperature', 'humidity', 'pressure', 'soil_moisture', 'light', 'ph', 'nitrogen']\n",
" count = sum(1 for key in sensor_keys if key in data and data[key] is not None)\n",
" \n",
" if count == 0:\n",
" count = len(data) # Fallback to total keys\n",
" else:\n",
" count = 0\n",
" \n",
" print(f\"📊 Board {board_id}: {count} data points found via {endpoint}\")\n",
" return count\n",
" \n",
" except Exception as e:\n",
" continue # Try next endpoint\n",
" \n",
" print(f\"⚠️ Could not fetch sensor data for board {board_id}\")\n",
" return 0\n",
" \n",
" except Exception as e:\n",
" print(f\"❌ Error counting data points for board {board_id}: {e}\")\n",
" return 0\n",
"\n",
"def get_board_data_counts(boards: List[Dict]) -> Dict[str, Dict]:\n",
" \"\"\"\n",
" Get sensor data counts for all teleagriculture boards.\n",
" \n",
" Args:\n",
" boards (List[Dict]): List of board/device objects from the platform\n",
" \n",
" Returns:\n",
" Dict[str, Dict]: Dictionary with board info and data counts\n",
" \"\"\"\n",
" board_stats = {}\n",
" \n",
" for board in boards:\n",
" # Handle different IoT platform object structures\n",
" board_id = (board.get('id') or board.get('device_id') or board.get('node_id') or \n",
" board.get('sensor_id') or board.get('station_id') or board.get('_id'))\n",
" \n",
" board_name = (board.get('name') or board.get('device_name') or board.get('label') or \n",
" board.get('title') or board.get('station_name') or f\"Board {board_id}\")\n",
" \n",
" # Get location info if available (common in agricultural IoT)\n",
" location = board.get('location') or board.get('coordinates') or board.get('position')\n",
" \n",
" if board_id:\n",
" data_count = count_board_data_points(str(board_id))\n",
" board_stats[board_id] = {\n",
" 'name': board_name,\n",
" 'data_count': data_count,\n",
" 'location': location,\n",
" 'board_info': board\n",
" }\n",
" else:\n",
" print(f\"⚠️ Skipping board without ID: {board}\")\n",
" \n",
" return board_stats\n",
"\n",
"print(\"📡 Sensor data counting functions defined successfully!\")\n",
"print(\"🌱 Ready to analyze agricultural sensor data from teleagriculture boards.\")"
]
},
{
"cell_type": "markdown",
"id": "e101dd72",
"metadata": {},
"source": [
"## Find Board with Most Data Points\n",
"\n",
"Main execution logic to analyze all boards and identify the one with the most data points."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "2d6d95de",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"🚀 Starting board analysis...\n",
"==================================================\n",
"📋 Fetching all boards...\n",
"❌ Could not find boards at any common endpoint\n",
"❌ No boards found or error occurred. Check your API configuration.\n",
"❌ Could not find boards at any common endpoint\n",
"❌ No boards found or error occurred. Check your API configuration.\n"
]
}
],
"source": [
"def find_board_with_most_data():\n",
" \"\"\"\n",
" Main function to find the board with the most data points.\n",
" \"\"\"\n",
" print(\"🚀 Starting board analysis...\")\n",
" print(\"=\" * 50)\n",
" \n",
" # Step 1: Fetch all boards\n",
" print(\"📋 Fetching all boards...\")\n",
" boards = fetch_all_boards()\n",
" \n",
" if not boards:\n",
" print(\"❌ No boards found or error occurred. Check your API configuration.\")\n",
" return None\n",
" \n",
" print(f\"✅ Found {len(boards)} boards\")\n",
" print()\n",
" \n",
" # Step 2: Count data points for each board\n",
" print(\"📊 Counting data points for each board...\")\n",
" board_stats = get_board_data_counts(boards)\n",
" \n",
" if not board_stats:\n",
" print(\"❌ Could not get data counts for any boards.\")\n",
" return None\n",
" \n",
" # Step 3: Find the board with the most data points\n",
" max_board_id = max(board_stats.keys(), key=lambda k: board_stats[k]['data_count'])\n",
" max_board = board_stats[max_board_id]\n",
" \n",
" print()\n",
" print(\"🏆 RESULTS\")\n",
" print(\"=\" * 50)\n",
" print(f\"Board with most data points:\")\n",
" print(f\" 📋 Name: {max_board['name']}\")\n",
" print(f\" 🆔 ID: {max_board_id}\")\n",
" print(f\" 📊 Data Points: {max_board['data_count']}\")\n",
" print()\n",
" \n",
" # Summary of all boards\n",
" print(\"📋 All Boards Summary:\")\n",
" print(\"-\" * 30)\n",
" sorted_boards = sorted(board_stats.items(), key=lambda x: x[1]['data_count'], reverse=True)\n",
" \n",
" for i, (board_id, stats) in enumerate(sorted_boards, 1):\n",
" emoji = \"🥇\" if i == 1 else \"🥈\" if i == 2 else \"🥉\" if i == 3 else \"📋\"\n",
" print(f\"{emoji} {stats['name']}: {stats['data_count']} data points\")\n",
" \n",
" return {\n",
" 'winner': max_board,\n",
" 'winner_id': max_board_id,\n",
" 'all_stats': board_stats\n",
" }\n",
"\n",
"# Execute the analysis\n",
"result = find_board_with_most_data()"
]
},
{
"cell_type": "markdown",
"id": "b191ccdf",
"metadata": {},
"source": [
"## Data Visualization\n",
"\n",
"Create charts and detailed analysis of the board data points."
]
},
{
"cell_type": "markdown",
"id": "30486ada",
"metadata": {},
"source": [
"## Sensor Scan: IDs 1001–1060\n",
"\n",
"Iterate over sensor IDs 1001 to 1060, query the platform API, and find the sensor with the most datapoints."
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "e860c05e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"kit 1001 sensor ftTemp: 1219\n",
"kit 1001 sensor gbHum: 1219\n",
"kit 1001 sensor gbHum: 1219\n",
"kit 1001 sensor gbTemp: 1219\n",
"kit 1001 sensor gbTemp: 1219\n",
"kit 1001 sensor Moist: 1219\n",
"kit 1001 sensor Moist: 1219\n",
"kit 1001 sensor CO: 1221\n",
"kit 1001 sensor CO: 1221\n",
"kit 1001 sensor NO2: 1221\n",
"kit 1001 sensor NO2: 1221\n",
"kit 1001 sensor NH3: 1221\n",
"kit 1001 sensor NH3: 1221\n",
"kit 1001 sensor C3H8: 1221\n",
"kit 1001 sensor C3H8: 1221\n",
"kit 1001 sensor C4H10: 1221\n",
"kit 1001 sensor C4H10: 1221\n",
"kit 1001 sensor CH4: 1221\n",
"kit 1001 sensor CH4: 1221\n",
"kit 1001 sensor H2: 1221\n",
"kit 1001 sensor H2: 1221\n",
"kit 1001 sensor C2H5OH: 1221\n",
"kit 1001 sensor pH: 1219\n",
"kit 1001 sensor NO3: 0\n",
"kit 1001 sensor NO2_aq: 0\n",
"kit 1001 sensor GH: 0\n",
"kit 1001 sensor KH: 0\n",
"kit 1001 sensor pH_strip: 0\n",
"kit 1001 sensor Cl2: 0\n",
"kit 1002 sensor ftTemp: 1218\n",
"kit 1002 sensor gbHum: 1218\n",
"kit 1002 sensor gbTemp: 1218\n",
"kit 1002 sensor Moist: 1218\n",
"kit 1002 sensor CO: 1218\n",
"kit 1002 sensor NO2: 1218\n",
"kit 1002 sensor NH3: 1218\n",
"kit 1002 sensor C3H8: 1218\n",
"kit 1002 sensor C4H10: 1218\n",
"kit 1002 sensor CH4: 1218\n",
"kit 1002 sensor H2: 1218\n",
"kit 1002 sensor C2H5OH: 1218\n",
"kit 1002 sensor pH: 1218\n",
"kit 1002 sensor NO3: 0\n",
"kit 1002 sensor NO2_aq: 0\n",
"kit 1002 sensor GH: 0\n",
"kit 1002 sensor KH: 0\n",
"kit 1002 sensor pH_strip: 0\n",
"kit 1002 sensor Cl2: 0\n",
"kit 1002 sensor Battery: 663\n",
"kit 1002 sensor temp: 1074\n",
"kit 1003 sensor pH_strip: 2\n",
"kit 1003 sensor temp2: 83\n",
"kit 1003 sensor hum: 6000\n",
"kit 1003 sensor temp: 4980\n",
"kit 1003 sensor mois: 30\n",
"kit 1003 sensor Battery: 210\n",
"kit 1004 sensor ftTemp: 60\n",
"kit 1004 sensor gbHum: 1548\n",
"kit 1004 sensor gbTemp: 1547\n",
"kit 1004 sensor Moist: 4658\n",
"kit 1004 sensor Soil Moisture: 1210\n",
"kit 1004 sensor NO2: 4658\n",
"kit 1004 sensor NH3: 4658\n",
"kit 1004 sensor C3H8: 4658\n",
"kit 1004 sensor C4H10: 4658\n",
"kit 1004 sensor CH4: 2880\n",
"kit 1004 sensor H2: 4658\n",
"kit 1004 sensor C2H5OH: 4658\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[32]\u001b[39m\u001b[32m, line 24\u001b[39m\n\u001b[32m 21\u001b[39m best = {\u001b[33m\"\u001b[39m\u001b[33mkit_id\u001b[39m\u001b[33m\"\u001b[39m: kit_id, \u001b[33m\"\u001b[39m\u001b[33msensor\u001b[39m\u001b[33m\"\u001b[39m: name, \u001b[33m\"\u001b[39m\u001b[33mcount\u001b[39m\u001b[33m\"\u001b[39m: cnt}\n\u001b[32m 22\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m best\n\u001b[32m---> \u001b[39m\u001b[32m24\u001b[39m best = \u001b[43mfind_max_sensor_in_range\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m1001\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1060\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpage_size\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m50\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 25\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mRESULT\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 26\u001b[39m \u001b[38;5;28mprint\u001b[39m(best)\n",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[32]\u001b[39m\u001b[32m, line 18\u001b[39m, in \u001b[36mfind_max_sensor_in_range\u001b[39m\u001b[34m(start_kit, end_kit, page_size)\u001b[39m\n\u001b[32m 16\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m name:\n\u001b[32m 17\u001b[39m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m18\u001b[39m cnt = \u001b[43mcount_sensor_measurements\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkit_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpage_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpage_size\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mkit \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkit_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m sensor \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcnt\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 20\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m cnt > best[\u001b[33m\"\u001b[39m\u001b[33mcount\u001b[39m\u001b[33m\"\u001b[39m]:\n",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[27]\u001b[39m\u001b[32m, line 28\u001b[39m, in \u001b[36mcount_sensor_measurements\u001b[39m\u001b[34m(kit_id, sensor_name, page_size, max_pages)\u001b[39m\n\u001b[32m 26\u001b[39m url = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mBASE_URL\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/kits/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkit_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00msensor_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/measurements\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m---> \u001b[39m\u001b[32m28\u001b[39m r = \u001b[43mrequests\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43mHEADERS\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m30\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 29\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m requests.RequestException:\n\u001b[32m 30\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/requests/api.py:73\u001b[39m, in \u001b[36mget\u001b[39m\u001b[34m(url, params, **kwargs)\u001b[39m\n\u001b[32m 62\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget\u001b[39m(url, params=\u001b[38;5;28;01mNone\u001b[39;00m, **kwargs):\n\u001b[32m 63\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33mr\u001b[39m\u001b[33;03m\"\"\"Sends a GET request.\u001b[39;00m\n\u001b[32m 64\u001b[39m \n\u001b[32m 65\u001b[39m \u001b[33;03m :param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 70\u001b[39m \u001b[33;03m :rtype: requests.Response\u001b[39;00m\n\u001b[32m 71\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m73\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mget\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/requests/api.py:59\u001b[39m, in \u001b[36mrequest\u001b[39m\u001b[34m(method, url, **kwargs)\u001b[39m\n\u001b[32m 55\u001b[39m \u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001b[39;00m\n\u001b[32m 56\u001b[39m \u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001b[39;00m\n\u001b[32m 57\u001b[39m \u001b[38;5;66;03m# cases, and look like a memory leak in others.\u001b[39;00m\n\u001b[32m 58\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m sessions.Session() \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[32m---> \u001b[39m\u001b[32m59\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m=\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/requests/sessions.py:589\u001b[39m, in \u001b[36mSession.request\u001b[39m\u001b[34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[39m\n\u001b[32m 584\u001b[39m send_kwargs = {\n\u001b[32m 585\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mtimeout\u001b[39m\u001b[33m\"\u001b[39m: timeout,\n\u001b[32m 586\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mallow_redirects\u001b[39m\u001b[33m\"\u001b[39m: allow_redirects,\n\u001b[32m 587\u001b[39m }\n\u001b[32m 588\u001b[39m send_kwargs.update(settings)\n\u001b[32m--> \u001b[39m\u001b[32m589\u001b[39m resp = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 591\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/requests/sessions.py:703\u001b[39m, in \u001b[36mSession.send\u001b[39m\u001b[34m(self, request, **kwargs)\u001b[39m\n\u001b[32m 700\u001b[39m start = preferred_clock()\n\u001b[32m 702\u001b[39m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m703\u001b[39m r = \u001b[43madapter\u001b[49m\u001b[43m.\u001b[49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 705\u001b[39m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[32m 706\u001b[39m elapsed = preferred_clock() - start\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/requests/adapters.py:667\u001b[39m, in \u001b[36mHTTPAdapter.send\u001b[39m\u001b[34m(self, request, stream, timeout, verify, cert, proxies)\u001b[39m\n\u001b[32m 664\u001b[39m timeout = TimeoutSauce(connect=timeout, read=timeout)\n\u001b[32m 666\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m667\u001b[39m resp = \u001b[43mconn\u001b[49m\u001b[43m.\u001b[49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 668\u001b[39m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m.\u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 669\u001b[39m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m=\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 670\u001b[39m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m.\u001b[49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 671\u001b[39m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m.\u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 672\u001b[39m \u001b[43m \u001b[49m\u001b[43mredirect\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 673\u001b[39m \u001b[43m \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 674\u001b[39m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 675\u001b[39m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 676\u001b[39m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 677\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 678\u001b[39m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[43m=\u001b[49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 679\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 681\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m (ProtocolError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[32m 682\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m(err, request=request)\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/urllib3/connectionpool.py:787\u001b[39m, in \u001b[36mHTTPConnectionPool.urlopen\u001b[39m\u001b[34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[39m\n\u001b[32m 784\u001b[39m response_conn = conn \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m release_conn \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 786\u001b[39m \u001b[38;5;66;03m# Make the request on the HTTPConnection object\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m787\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 788\u001b[39m \u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 789\u001b[39m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 790\u001b[39m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 791\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 792\u001b[39m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 793\u001b[39m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 794\u001b[39m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[43m=\u001b[49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 795\u001b[39m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 796\u001b[39m \u001b[43m \u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[43m=\u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 797\u001b[39m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 798\u001b[39m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 799\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mresponse_kw\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 800\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 802\u001b[39m \u001b[38;5;66;03m# Everything went great!\u001b[39;00m\n\u001b[32m 803\u001b[39m clean_exit = \u001b[38;5;28;01mTrue\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/urllib3/connectionpool.py:534\u001b[39m, in \u001b[36mHTTPConnectionPool._make_request\u001b[39m\u001b[34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[39m\n\u001b[32m 532\u001b[39m \u001b[38;5;66;03m# Receive the response from the server\u001b[39;00m\n\u001b[32m 533\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m534\u001b[39m response = \u001b[43mconn\u001b[49m\u001b[43m.\u001b[49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 535\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m (BaseSSLError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 536\u001b[39m \u001b[38;5;28mself\u001b[39m._raise_timeout(err=e, url=url, timeout_value=read_timeout)\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/site-packages/urllib3/connection.py:516\u001b[39m, in \u001b[36mHTTPConnection.getresponse\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 513\u001b[39m _shutdown = \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m.sock, \u001b[33m\"\u001b[39m\u001b[33mshutdown\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m 515\u001b[39m \u001b[38;5;66;03m# Get the response from http.client.HTTPConnection\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m516\u001b[39m httplib_response = \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 518\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 519\u001b[39m assert_header_parsing(httplib_response.msg)\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/http/client.py:1430\u001b[39m, in \u001b[36mHTTPConnection.getresponse\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 1428\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 1429\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1430\u001b[39m \u001b[43mresponse\u001b[49m\u001b[43m.\u001b[49m\u001b[43mbegin\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1431\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m:\n\u001b[32m 1432\u001b[39m \u001b[38;5;28mself\u001b[39m.close()\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/http/client.py:331\u001b[39m, in \u001b[36mHTTPResponse.begin\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 329\u001b[39m \u001b[38;5;66;03m# read until we get a non-100 response\u001b[39;00m\n\u001b[32m 330\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m331\u001b[39m version, status, reason = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_read_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m status != CONTINUE:\n\u001b[32m 333\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/http/client.py:292\u001b[39m, in \u001b[36mHTTPResponse._read_status\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 291\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_read_status\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m292\u001b[39m line = \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mreadline\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_MAXLINE\u001b[49m\u001b[43m \u001b[49m\u001b[43m+\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m)\u001b[49m, \u001b[33m\"\u001b[39m\u001b[33miso-8859-1\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 293\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(line) > _MAXLINE:\n\u001b[32m 294\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m LineTooLong(\u001b[33m\"\u001b[39m\u001b[33mstatus line\u001b[39m\u001b[33m\"\u001b[39m)\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/socket.py:719\u001b[39m, in \u001b[36mSocketIO.readinto\u001b[39m\u001b[34m(self, b)\u001b[39m\n\u001b[32m 717\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(\u001b[33m\"\u001b[39m\u001b[33mcannot read from timed out object\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 718\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m719\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sock\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 720\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n\u001b[32m 721\u001b[39m \u001b[38;5;28mself\u001b[39m._timeout_occurred = \u001b[38;5;28;01mTrue\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/ssl.py:1304\u001b[39m, in \u001b[36mSSLSocket.recv_into\u001b[39m\u001b[34m(self, buffer, nbytes, flags)\u001b[39m\n\u001b[32m 1300\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m flags != \u001b[32m0\u001b[39m:\n\u001b[32m 1301\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 1302\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m\"\u001b[39m %\n\u001b[32m 1303\u001b[39m \u001b[38;5;28mself\u001b[39m.\u001b[34m__class__\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1304\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnbytes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1305\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1306\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m().recv_into(buffer, nbytes, flags)\n",
"\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/random/lib/python3.13/ssl.py:1138\u001b[39m, in \u001b[36mSSLSocket.read\u001b[39m\u001b[34m(self, len, buffer)\u001b[39m\n\u001b[32m 1136\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 1137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m buffer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sslobj\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1139\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1140\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._sslobj.read(\u001b[38;5;28mlen\u001b[39m)\n",
"\u001b[31mKeyboardInterrupt\u001b[39m: "
]
}
],
"source": [
"# Minimal scan: kits 1001..1060 — find sensor with most datapoints\n",
"\n",
"def find_max_sensor_in_range(start_kit: int = 1015, end_kit: int = 1060, page_size: int = 50) -> dict:\n",
" best = {\"kit_id\": None, \"sensor\": None, \"count\": -1}\n",
" for kit_id in range(start_kit, end_kit + 1):\n",
" kit = get_kit_info(kit_id)\n",
" if not kit or not isinstance(kit, dict):\n",
" print(f\"kit {kit_id}: not found\")\n",
" continue\n",
" sensors = kit.get(\"sensors\") or []\n",
" if not sensors:\n",
" print(f\"kit {kit_id}: no sensors\")\n",
" continue\n",
" for s in sensors:\n",
" name = s.get(\"name\")\n",
" if not name:\n",
" continue\n",
" cnt = count_sensor_measurements(kit_id, name, page_size=page_size)\n",
" print(f\"kit {kit_id} sensor {name}: {cnt}\")\n",
" if cnt > best[\"count\"]:\n",
" best = {\"kit_id\": kit_id, \"sensor\": name, \"count\": cnt}\n",
" return best\n",
"\n",
"best = find_max_sensor_in_range(1001, 1060, page_size=50)\n",
"print(\"\\nRESULT\")\n",
"print(best)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "3216b9fb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"🔎 Scanning sensors from 1001 to 1060...\n",
"Sensor 1001: 0 datapoints (via /sensors/1001)\n",
"Sensor 1002: 0 datapoints (via /sensors/1002)\n",
"Sensor 1003: 0 datapoints (via /sensors/1003)\n",
"Sensor 1004: 0 datapoints (via /sensors/1004)\n",
"Sensor 1005: 0 datapoints (via /sensors/1005)\n",
"Sensor 1006: 0 datapoints (via /sensors/1006)\n",
"Sensor 1007: 0 datapoints (via /sensors/1007)\n",
"Sensor 1008: 0 datapoints (via /sensors/1008)\n",
"Sensor 1009: 0 datapoints (via /sensors/1009)\n",
"Sensor 1010: 0 datapoints (via /sensors/1010)\n",
"Sensor 1011: 0 datapoints (via /sensors/1011)\n",
"Sensor 1012: 0 datapoints (via /sensors/1012)\n",
"Sensor 1013: 0 datapoints (via /sensors/1013)\n",
"Sensor 1014: 0 datapoints (via /sensors/1014)\n",
"Sensor 1015: 0 datapoints (via /sensors/1015)\n",
"Sensor 1016: 0 datapoints (via /sensors/1016)\n",
"Sensor 1017: 0 datapoints (via /sensors/1017)\n",
"Sensor 1018: 0 datapoints (via /sensors/1018)\n",
"Sensor 1019: 0 datapoints (via /sensors/1019)\n",
"Sensor 1020: 0 datapoints (via /sensors/1020)\n",
"Sensor 1021: 0 datapoints (via /sensors/1021)\n",
"Sensor 1022: 0 datapoints (via /sensors/1022)\n",
"Sensor 1023: 0 datapoints (via /sensors/1023)\n",
"Sensor 1024: 0 datapoints (via /sensors/1024)\n",
"Sensor 1025: 0 datapoints (via /sensors/1025)\n",
"Sensor 1026: 0 datapoints (via /sensors/1026)\n",
"Sensor 1027: 0 datapoints (via /sensors/1027)\n",
"Sensor 1028: 0 datapoints (via /sensors/1028)\n",
"Sensor 1029: 0 datapoints (via /sensors/1029)\n",
"Sensor 1030: 0 datapoints (via /sensors/1030)\n",
"Sensor 1031: 0 datapoints (via /sensors/1031)\n",
"Sensor 1032: 0 datapoints (via /sensors/1032)\n",
"Sensor 1033: 0 datapoints (via /sensors/1033)\n",
"Sensor 1034: 0 datapoints (via /sensors/1034)\n",
"Sensor 1035: 0 datapoints (via /sensors/1035)\n",
"Sensor 1036: 0 datapoints (via /sensors/1036)\n",
"Sensor 1037: 0 datapoints (via /sensors/1037)\n",
"Sensor 1038: 0 datapoints (via /sensors/1038)\n",
"Sensor 1039: 0 datapoints (via /sensors/1039)\n",
"Sensor 1040: 0 datapoints (via /sensors/1040)\n",
"Sensor 1041: 0 datapoints (via /sensors/1041)\n",
"Sensor 1042: 0 datapoints (via /sensors/1042)\n",
"Sensor 1043: 0 datapoints (via /sensors/1043)\n",
"Sensor 1044: 0 datapoints (via /sensors/1044)\n",
"Sensor 1045: 0 datapoints (via /sensors/1045)\n",
"Sensor 1046: 0 datapoints (via /sensors/1046)\n",
"Sensor 1047: 0 datapoints (via /sensors/1047)\n",
"Sensor 1048: 0 datapoints (via /sensors/1048)\n",
"Sensor 1049: 0 datapoints (via /sensors/1049)\n",
"Sensor 1050: 0 datapoints (via /sensors/1050)\n",
"Sensor 1051: 0 datapoints (via /sensors/1051)\n",
"Sensor 1052: 0 datapoints (via /sensors/1052)\n",
"Sensor 1053: 0 datapoints (via /sensors/1053/readings)\n",
"Sensor 1054: 0 datapoints (via /sensors/1054)\n",
"Sensor 1055: 0 datapoints (via /sensors/1055)\n",
"Sensor 1056: 0 datapoints (via /sensors/1056)\n",
"Sensor 1057: 0 datapoints (via /sensors/1057)\n",
"Sensor 1058: 0 datapoints (via /sensors/1058)\n",
"Sensor 1059: 0 datapoints (via /sensors/1059)\n",
"Sensor 1060: 0 datapoints (via /sensors/1060)\n",
"\n",
"🏁 Scan complete.\n",
"🏆 Sensor with most datapoints:\n",
" 🆔 ID: 1001\n",
" 📊 Count: 0\n",
" 🔗 Endpoint: /sensors/1001\n"
]
}
],
"source": [
"from collections import defaultdict\n",
"\n",
"def _count_datapoints_from_response(data) -> int:\n",
" \"\"\"Best-effort count of datapoints from arbitrary API responses.\"\"\"\n",
" if data is None:\n",
" return 0\n",
" if isinstance(data, list):\n",
" return len(data)\n",
" if isinstance(data, dict):\n",
" # Prefer common array keys\n",
" for key in [\n",
" 'data', 'results', 'measurements', 'readings', 'entries', 'values',\n",
" 'observations', 'records', 'points'\n",
" ]:\n",
" if key in data and isinstance(data[key], list):\n",
" return len(data[key])\n",
" # Fallback: count scalar series\n",
" return sum(1 for v in data.values() if isinstance(v, (int, float, str, bool)))\n",
" return 0\n",
"\n",
"\n",
"def fetch_sensor_datapoints(sensor_id: int) -> tuple[int, dict]:\n",
" \"\"\"\n",
" Try multiple likely endpoints for a sensor and return the datapoint count and last successful meta.\n",
" Returns (count, meta) where meta contains endpoint and status.\n",
" \"\"\"\n",
" endpoints = [\n",
" f\"/sensors/{sensor_id}\",\n",
" f\"/sensors/{sensor_id}/data\",\n",
" f\"/sensors/{sensor_id}/readings\",\n",
" f\"/sensors/{sensor_id}/measurements\",\n",
" f\"/devices/{sensor_id}/data\",\n",
" f\"/nodes/{sensor_id}/uplinks\",\n",
" ]\n",
"\n",
" last_error = None\n",
" for ep in endpoints:\n",
" url = f\"{BASE_URL.rstrip('/')}{ep}\"\n",
" try:\n",
" r = requests.get(url, headers=HEADERS, timeout=30)\n",
" if r.status_code == 200:\n",
" try:\n",
" data = r.json()\n",
" except Exception:\n",
" data = None\n",
" count = _count_datapoints_from_response(data)\n",
" return count, {\"endpoint\": ep, \"status\": r.status_code}\n",
" else:\n",
" last_error = {\"endpoint\": ep, \"status\": r.status_code, \"text\": r.text[:200]}\n",
" except requests.RequestException as e:\n",
" last_error = {\"endpoint\": ep, \"error\": str(e)}\n",
" continue\n",
" return 0, (last_error or {\"endpoint\": None, \"error\": \"no-endpoint-succeeded\"})\n",
"\n",
"\n",
"def scan_sensors_and_find_max(start_id: int = 1001, end_id: int = 1060):\n",
" print(f\"🔎 Scanning sensors from {start_id} to {end_id}...\")\n",
" best = {\n",
" \"sensor_id\": None,\n",
" \"count\": -1,\n",
" \"meta\": {}\n",
" }\n",
" results = {}\n",
"\n",
" for sid in range(start_id, end_id + 1):\n",
" count, meta = fetch_sensor_datapoints(sid)\n",
" results[sid] = {\"count\": count, \"meta\": meta}\n",
" print(f\"Sensor {sid}: {count} datapoints (via {meta.get('endpoint')})\")\n",
" if count > best[\"count\"]:\n",
" best = {\"sensor_id\": sid, \"count\": count, \"meta\": meta}\n",
"\n",
" print(\"\\n🏁 Scan complete.\")\n",
" if best[\"sensor_id\"] is not None:\n",
" print(\"🏆 Sensor with most datapoints:\")\n",
" print(f\" 🆔 ID: {best['sensor_id']}\")\n",
" print(f\" 📊 Count: {best['count']}\")\n",
" print(f\" 🔗 Endpoint: {best['meta'].get('endpoint')}\")\n",
" else:\n",
" print(\"No sensors returned datapoints in the given range.\")\n",
"\n",
" return {\"best\": best, \"results\": results}\n",
"\n",
"# Run the scan now\n",
"scan_result = scan_sensors_and_find_max(1001, 1060)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "46506887",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"⚠️ Run the board analysis first to see visualizations.\n",
"💡 Make sure to update the API_KEY and BASE_URL in the configuration section.\n"
]
}
],
"source": [
"def create_board_analysis_chart(board_stats: Dict[str, Dict]):\n",
" \"\"\"\n",
" Create visualizations for board data analysis.\n",
" \n",
" Args:\n",
" board_stats (Dict[str, Dict]): Board statistics from get_board_data_counts\n",
" \"\"\"\n",
" if not board_stats:\n",
" print(\"❌ No board statistics available for visualization.\")\n",
" return\n",
" \n",
" # Prepare data for plotting\n",
" board_names = [stats['name'] for stats in board_stats.values()]\n",
" data_counts = [stats['data_count'] for stats in board_stats.values()]\n",
" board_ids = list(board_stats.keys())\n",
" \n",
" # Create DataFrame for better handling\n",
" df = pd.DataFrame({\n",
" 'Board ID': board_ids,\n",
" 'Board Name': board_names,\n",
" 'Data Points': data_counts\n",
" })\n",
" \n",
" # Sort by data points for better visualization\n",
" df = df.sort_values('Data Points', ascending=True)\n",
" \n",
" # Create the plot\n",
" plt.figure(figsize=(12, 8))\n",
" \n",
" # Horizontal bar chart\n",
" bars = plt.barh(range(len(df)), df['Data Points'], color='skyblue', alpha=0.7)\n",
" \n",
" # Customize the plot\n",
" plt.yticks(range(len(df)), df['Board Name'])\n",
" plt.xlabel('Number of Data Points')\n",
" plt.title('Data Points per Board - Teleagriculture API Analysis', fontsize=16, fontweight='bold')\n",
" plt.grid(axis='x', alpha=0.3)\n",
" \n",
" # Add value labels on bars\n",
" for i, (bar, value) in enumerate(zip(bars, df['Data Points'])):\n",
" plt.text(value + max(df['Data Points']) * 0.01, bar.get_y() + bar.get_height()/2, \n",
" str(value), va='center', fontweight='bold')\n",
" \n",
" # Highlight the board with most data points\n",
" max_idx = df['Data Points'].idxmax()\n",
" bars[df.index.get_loc(max_idx)].set_color('gold')\n",
" bars[df.index.get_loc(max_idx)].set_alpha(1.0)\n",
" \n",
" plt.tight_layout()\n",
" plt.show()\n",
" \n",
" # Print detailed statistics\n",
" print(\"📊 DETAILED STATISTICS\")\n",
" print(\"=\" * 50)\n",
" print(f\"Total boards analyzed: {len(df)}\")\n",
" print(f\"Total data points across all boards: {df['Data Points'].sum()}\")\n",
" print(f\"Average data points per board: {df['Data Points'].mean():.1f}\")\n",
" print(f\"Median data points per board: {df['Data Points'].median():.1f}\")\n",
" print(f\"Standard deviation: {df['Data Points'].std():.1f}\")\n",
" print()\n",
" \n",
" # Show top 3 boards\n",
" top_3 = df.nlargest(3, 'Data Points')\n",
" print(\"🏆 TOP 3 BOARDS:\")\n",
" for i, (_, row) in enumerate(top_3.iterrows(), 1):\n",
" emoji = \"🥇\" if i == 1 else \"🥈\" if i == 2 else \"🥉\"\n",
" print(f\"{emoji} {row['Board Name']}: {row['Data Points']} data points\")\n",
" \n",
" return df\n",
"\n",
"# Create visualization if we have results\n",
"if 'result' in locals() and result and result.get('all_stats'):\n",
" print(\"📈 Creating visualization...\")\n",
" df_analysis = create_board_analysis_chart(result['all_stats'])\n",
"else:\n",
" print(\"⚠️ Run the board analysis first to see visualizations.\")\n",
" print(\"💡 Make sure to update the API_KEY and BASE_URL in the configuration section.\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e01c5bf6",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "3553a610",
"metadata": {},
"source": [
"## Simple helper: get all sensor data for a kit id\n",
"\n",
"This function fetches all available measurements for a given kit (board) id across all its sensors and returns a tidy pandas DataFrame. It uses the same BASE_URL and HEADERS configured above and follows the API's cursor pagination automatically.\n",
"\n",
"- Input: kit_id (int)\n",
"- Optional: sensors (list[str]) to limit which sensors to fetch; defaults to all sensors on the kit\n",
"- Output: pandas DataFrame with columns like: kit_id, sensor, timestamp/value/..., depending on the API payload"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "051f0aab",
"metadata": {},
"outputs": [],
"source": [
"from typing import Iterable, Any\n",
"\n",
"def _paginate(url: str, params: dict | None = None, headers: dict | None = None, page_size: int = 100, max_pages: int = 500):\n",
" \"\"\"Generator yielding pages from cursor-paginated endpoint returning {'data': [...], 'meta': {'next_cursor': '...'}}\"\"\"\n",
" params = dict(params or {})\n",
" params[\"page[size]\"] = str(page_size)\n",
" cursor = None\n",
" pages = 0\n",
" while pages < max_pages:\n",
" if cursor:\n",
" params[\"page[cursor]\"] = cursor\n",
" try:\n",
" r = requests.get(url, headers=headers, params=params, timeout=30)\n",
" except requests.RequestException:\n",
" break\n",
" if r.status_code != 200:\n",
" break\n",
" try:\n",
" payload = r.json()\n",
" except Exception:\n",
" break\n",
" data = payload.get(\"data\")\n",
" meta = payload.get(\"meta\", {})\n",
" yield data if isinstance(data, list) else []\n",
" cursor = meta.get(\"next_cursor\")\n",
" pages += 1\n",
" if not cursor:\n",
" break\n",
"\n",
"\n",
"def get_kit_measurements_df(kit_id: int, sensors: Iterable[str] | None = None, page_size: int = 100) -> pd.DataFrame:\n",
" \"\"\"\n",
" Fetch all measurements for a given kit across selected sensors and return a tidy DataFrame.\n",
"\n",
" - kit_id: numeric id of the kit/board\n",
" - sensors: optional list of sensor names; if None, will discover sensors via get_kit_info(kit_id)\n",
" - page_size: page size for cursor pagination\n",
"\n",
" Returns a DataFrame with columns: kit_id, sensor, timestamp, value, unit, _raw\n",
" (Columns may include NaNs if the API doesn't provide those fields.)\n",
" \"\"\"\n",
" # Discover sensors if not provided\n",
" sensor_list: list[str]\n",
" if sensors is None:\n",
" kit = get_kit_info(kit_id)\n",
" if not kit:\n",
" return pd.DataFrame(columns=[\"kit_id\", \"sensor\", \"timestamp\", \"value\", \"unit\", \"_raw\"])\n",
" sensor_list = [s.get(\"name\") for s in (kit.get(\"sensors\") or []) if isinstance(s, dict) and s.get(\"name\")]\n",
" else:\n",
" sensor_list = [s for s in sensors if s]\n",
"\n",
" rows: list[dict[str, Any]] = []\n",
"\n",
" for sname in sensor_list:\n",
" base = f\"{BASE_URL}/kits/{kit_id}/{sname}/measurements\"\n",
" for page in _paginate(base, headers=HEADERS, page_size=page_size):\n",
" for item in page:\n",
" if not isinstance(item, dict):\n",
" continue\n",
" rec = item\n",
" # Some APIs wrap fields inside 'attributes'\n",
" if isinstance(rec.get(\"attributes\"), dict):\n",
" # merge attributes shallowly (attributes wins for overlapping keys)\n",
" rec = {**{k: v for k, v in rec.items() if k != \"attributes\"}, **rec[\"attributes\"]}\n",
" # Normalize common fields\n",
" ts = rec.get(\"timestamp\") or rec.get(\"time\") or rec.get(\"created_at\") or rec.get(\"datetime\")\n",
" val = rec.get(\"value\") or rec.get(\"reading\") or rec.get(\"measurement\") or rec.get(\"val\")\n",
" unit = rec.get(\"unit\") or rec.get(\"units\")\n",
" rows.append({\n",
" \"kit_id\": kit_id,\n",
" \"sensor\": sname,\n",
" \"timestamp\": ts,\n",
" \"value\": val,\n",
" \"unit\": unit,\n",
" \"_raw\": item, # keep original\n",
" })\n",
"\n",
" df = pd.DataFrame(rows)\n",
" # Coerce timestamp and sort\n",
" if not df.empty and \"timestamp\" in df.columns:\n",
" try:\n",
" df[\"timestamp\"] = pd.to_datetime(df[\"timestamp\"], errors=\"coerce\", utc=True)\n",
" df = df.sort_values([\"sensor\", \"timestamp\"], kind=\"stable\")\n",
" except Exception:\n",
" pass\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e5f429f9",
"metadata": {},
"outputs": [],
"source": [
"# Demo: fetch all data for a kit id (adjust kit_id)\n",
"KIT_DEMO_ID = 1001 # change as needed\n",
"\n",
"df_all = get_kit_measurements_df(KIT_DEMO_ID)\n",
"print(f\"Fetched {len(df_all)} rows for kit {KIT_DEMO_ID}\")\n",
"df_all.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61c9be14",
"metadata": {},
"outputs": [],
"source": [
"# Simplest helper: get a DataFrame for a kit id\n",
"\n",
"def get_kit_df(kit_id: int) -> pd.DataFrame:\n",
" return get_kit_measurements_df(kit_id)\n",
"\n",
"# Example usage:\n",
"# df = get_kit_df(1001)\n",
"# df.head()"
]
}
],
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"kernelspec": {
"display_name": "random",
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"name": "python3"
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"codemirror_mode": {
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|