Initial commit

f6a58f54 · David Huss · f6a58f54 · f6a58f54 · f6a58f54 · f6a58f54
Commit f6a58f54 authored 4 months ago by David Huss
--- a/.ipynb_checkpoints/Untitled-checkpoint.ipynb
+++ b/.ipynb_checkpoints/Untitled-checkpoint.ipynb
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c44042ce-0838-4bde-a521-72c7e7d196d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "\n",
+    "data = []\n",
+    "\n",
+    "with open('data/open-meteo-53.53N9.98E11m (3) (2).csv') as csvfile:\n",
+    "    reader = csv.DictReader(csvfile, delimiter=',')\n",
+    "    for row in reader:\n",
+    "        datum = row['rain_sum']\n",
+    "        data.append(float(datum))\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "c70207fe-f427-4e92-813c-698cf94855b6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "maximum = max(data)\n",
+    "normalized_data = [d/maximum for d in data]\n",
+    "\n",
+    "with open(\"data.h\", \"w\") as file:\n",
+    "    file.write(\"#pragma once\\n\\n\")\n",
+    "    file.write(f\"#define DATA_LENGTH {len(normalized_data)}\\n\\n\")\n",
+    "    file.write(f\"float data[{len(normalized_data)}] = {{\\n\")\n",
+    "    for d in normalized_data:\n",
+    "        file.write(f\"    {d},\\n\")\n",
+    "    file.write(\"};\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "1fa46b19-0698-47bb-9f6d-e45ab7f2c96f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3 days, 0:00:02.160000\n"
+     ]
+    }
+   ],
+   "source": [
+    "from datetime import timedelta, datetime\n",
+    "t = 9.48 * 3\n",
+    "\n",
+    "duration = timedelta(seconds=(len(normalized_data)*t))\n",
+    "print(duration)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "20be4f8c-56b4-45c4-a7f5-8885a1345ea1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "28.44"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "t"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "35be51de-976f-4f2a-a707-5dca0e213e18",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
+%% Cell type:code id:c44042ce-0838-4bde-a521-72c7e7d196d6 tags:
+
+``` python
+import csv
+
+data = []
+
+with open('data/open-meteo-53.53N9.98E11m (3) (2).csv') as csvfile:
+    reader = csv.DictReader(csvfile, delimiter=',')
+    for row in reader:
+        datum = row['rain_sum']
+        data.append(float(datum))
+
+
+```
+
+%% Cell type:code id:c70207fe-f427-4e92-813c-698cf94855b6 tags:
+
+``` python
+maximum = max(data)
+normalized_data = [d/maximum for d in data]
+
+with open("data.h", "w") as file:
+    file.write("#pragma once\n\n")
+    file.write(f"#define DATA_LENGTH {len(normalized_data)}\n\n")
+    file.write(f"float data[{len(normalized_data)}] = {{\n")
+    for d in normalized_data:
+        file.write(f"    {d},\n")
+    file.write("};\n")
+```
+
+%% Cell type:code id:1fa46b19-0698-47bb-9f6d-e45ab7f2c96f tags:
+
+``` python
+from datetime import timedelta, datetime
+t = 9.48 * 3
+
+duration = timedelta(seconds=(len(normalized_data)*t))
+print(duration)
+```
+
+%% Output
+
+    3 days, 0:00:02.160000
+
+%% Cell type:code id:20be4f8c-56b4-45c4-a7f5-8885a1345ea1 tags:
+
+``` python
+t
+```
+
+%% Output
+
+    28.44
+
+%% Cell type:code id:35be51de-976f-4f2a-a707-5dca0e213e18 tags:
+
+``` python
+```
--- a/.jupyter/desktop-workspaces/default-37a8.jupyterlab-workspace
+++ b/.jupyter/desktop-workspaces/default-37a8.jupyterlab-workspace
+{"data":{"layout-restorer:data":{"main":{"dock":{"type":"tab-area","currentIndex":0,"widgets":[]}},"down":{"size":0,"widgets":[]},"left":{"collapsed":false,"visible":true,"current":"filebrowser","widgets":["filebrowser","running-sessions","@jupyterlab/toc:plugin","extensionmanager.main-view"],"widgetStates":{"jp-running-sessions":{"sizes":[0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666],"expansionStates":[false,false,false,false,false,false]},"extensionmanager.main-view":{"sizes":[0.3333333333333333,0.3333333333333333,0.3333333333333333],"expansionStates":[false,false,false]}}},"right":{"collapsed":true,"visible":true,"widgets":["jp-property-inspector","debugger-sidebar"],"widgetStates":{"jp-debugger-sidebar":{"sizes":[0.2,0.2,0.2,0.2,0.2],"expansionStates":[false,false,false,false,false]}}},"relativeSizes":[0.26227795193312436,0.7377220480668757,0],"top":{"simpleVisibility":true}},"docmanager:recents":{"opened":[{"path":"","contentType":"directory","root":"~/Arduino/precipitationctl"},{"path":"Untitled.ipynb","contentType":"notebook","factory":"Notebook","root":"~/Arduino/precipitationctl"}],"closed":[{"path":"Untitled.ipynb","contentType":"notebook","factory":"Notebook","root":"~/Arduino/precipitationctl"}]}},"metadata":{"id":"default"}}
\ No newline at end of file
--- a/ESP32-DEV-KIT-DevKitC-v4-pinout-mischianti.jpg
+++ b/ESP32-DEV-KIT-DevKitC-v4-pinout-mischianti.jpg
--- a/README.md
+++ b/README.md
--- a/data-processing.ipynb
+++ b/data-processing.ipynb
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c44042ce-0838-4bde-a521-72c7e7d196d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "\n",
+    "data = []\n",
+    "\n",
+    "with open('data/open-meteo-53.53N9.98E11m (3) (2).csv') as csvfile:\n",
+    "    reader = csv.DictReader(csvfile, delimiter=',')\n",
+    "    for row in reader:\n",
+    "        datum = row['rain_sum']\n",
+    "        data.append(float(datum))\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "c70207fe-f427-4e92-813c-698cf94855b6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "maximum = max(data)\n",
+    "normalized_data = [d/maximum for d in data]\n",
+    "\n",
+    "with open(\"data.h\", \"w\") as file:\n",
+    "    file.write(\"#pragma once\\n\\n\")\n",
+    "    file.write(f\"#define DATA_LENGTH {len(normalized_data)}\\n\\n\")\n",
+    "    file.write(f\"float data[{len(normalized_data)}] = {{\\n\")\n",
+    "    for d in normalized_data:\n",
+    "        file.write(f\"    {d},\\n\")\n",
+    "    file.write(\"};\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "1fa46b19-0698-47bb-9f6d-e45ab7f2c96f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3 days, 0:00:02.160000\n"
+     ]
+    }
+   ],
+   "source": [
+    "from datetime import timedelta, datetime\n",
+    "t = 9.48 * 3\n",
+    "\n",
+    "duration = timedelta(seconds=(len(normalized_data)*t))\n",
+    "print(duration)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "20be4f8c-56b4-45c4-a7f5-8885a1345ea1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "28.44"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "t"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "35be51de-976f-4f2a-a707-5dca0e213e18",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
+%% Cell type:code id:c44042ce-0838-4bde-a521-72c7e7d196d6 tags:
+
+``` python
+import csv
+
+data = []
+
+with open('data/open-meteo-53.53N9.98E11m (3) (2).csv') as csvfile:
+    reader = csv.DictReader(csvfile, delimiter=',')
+    for row in reader:
+        datum = row['rain_sum']
+        data.append(float(datum))
+
+
+```
+
+%% Cell type:code id:c70207fe-f427-4e92-813c-698cf94855b6 tags:
+
+``` python
+maximum = max(data)
+normalized_data = [d/maximum for d in data]
+
+with open("data.h", "w") as file:
+    file.write("#pragma once\n\n")
+    file.write(f"#define DATA_LENGTH {len(normalized_data)}\n\n")
+    file.write(f"float data[{len(normalized_data)}] = {{\n")
+    for d in normalized_data:
+        file.write(f"    {d},\n")
+    file.write("};\n")
+```
+
+%% Cell type:code id:1fa46b19-0698-47bb-9f6d-e45ab7f2c96f tags:
+
+``` python
+from datetime import timedelta, datetime
+t = 9.48 * 3
+
+duration = timedelta(seconds=(len(normalized_data)*t))
+print(duration)
+```
+
+%% Output
+
+    3 days, 0:00:02.160000
+
+%% Cell type:code id:20be4f8c-56b4-45c4-a7f5-8885a1345ea1 tags:
+
+``` python
+t
+```
+
+%% Output
+
+    28.44
+
+%% Cell type:code id:35be51de-976f-4f2a-a707-5dca0e213e18 tags:
+
+``` python
+```
--- a/data.h
+++ b/data.h
--- a/data/open-meteo-53.53N9.98E11m (3) (2).csv
+++ b/data/open-meteo-53.53N9.98E11m (3) (2).csv
--- a/precipitationctl.ino
+++ b/precipitationctl.ino
+#include "data.h"
+
+#define SERVO_MIN 30
+#define SERVO_MAX 480
+int servoPin = 23;
+int pos = SERVO_MIN;
+
+
+int data_index = 0;
+
+void setServoNormalized(float pos) {
+  pos = min(1.0f, max(0.0f, pos));
+  int span = SERVO_MAX - SERVO_MIN;
+  int servo_pos = SERVO_MIN + span * pos;
+  analogWrite(servoPin, servo_pos);
+}
+
+void setup() {
+  Serial.begin(115200);
+  // put your setup code here, to run once:
+  pinMode(servoPin, OUTPUT);
+  analogWriteFrequency(servoPin, 50);
+  analogWriteResolution(servoPin, 12);
+}
+
+void loop() {
+  // put your main code here, to run repeatedly:
+  float datum = data[data_index];
+  setServoNormalized(datum);
+  Serial.print("Aktueller Wert ");
+  Serial.print(datum * 67.2);
+  Serial.print(" mm  --> ");
+  Serial.println(datum);
+  data_index++;
+
+  if ( data_index >= DATA_LENGTH) {
+    data_index = 0;
+    Serial.println("Die daten sind durch, wir fangen wieder vorne an...");
+  }
+  delay(28.44*1000);
+}