From 57f432a239db65f920e507007ca4e56ea4a0205c Mon Sep 17 00:00:00 2001 From: "spaceBearAmadeus (Alex)" Date: Wed, 31 Jul 2024 13:21:29 -0400 Subject: [PATCH] refactor demo again --- .../bio_check_demo.ipynb | 8 +- tests/__init__.py | 0 tests/test_api.ipynb | 170 - tests/test_service.ipynb | 11352 ---------------- tests/test_storage.ipynb | 265 - tests/test_worker.ipynb | 33 - 6 files changed, 4 insertions(+), 11824 deletions(-) rename bio_check_demo.ipynb => demos/bio_check_demo.ipynb (99%) delete mode 100644 tests/__init__.py delete mode 100644 tests/test_api.ipynb delete mode 100644 tests/test_service.ipynb delete mode 100644 tests/test_storage.ipynb delete mode 100644 tests/test_worker.ipynb diff --git a/bio_check_demo.ipynb b/demos/bio_check_demo.ipynb similarity index 99% rename from bio_check_demo.ipynb rename to demos/bio_check_demo.ipynb index bc87fcf13..ce2880880 100644 --- a/bio_check_demo.ipynb +++ b/demos/bio_check_demo.ipynb @@ -3,8 +3,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T17:20:09.723411Z", - "start_time": "2024-07-31T17:20:09.717892Z" + "end_time": "2024-07-31T17:21:18.539794Z", + "start_time": "2024-07-31T17:21:18.534606Z" } }, "cell_type": "code", @@ -24,8 +24,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2024-07-31T17:20:10.491759Z", - "start_time": "2024-07-31T17:20:10.450040Z" + "end_time": "2024-07-31T17:21:19.278526Z", + "start_time": "2024-07-31T17:21:19.235578Z" } }, "source": [ diff --git a/tests/__init__.py b/tests/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/tests/test_api.ipynb b/tests/test_api.ipynb deleted file mode 100644 index 3fb08a45b..000000000 --- a/tests/test_api.ipynb +++ /dev/null @@ -1,170 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "initial_id", - "metadata": { - "ExecuteTime": { - "end_time": "2024-06-24T20:19:24.386952Z", - "start_time": "2024-06-24T20:19:21.924048Z" - }, - "collapsed": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Smoldyn is not properly installed in this environment and thus its process implementation cannot be registered. Please consult smoldyn documentation.\n", - "Cannot register SimpleNeuron. Error:\n", - "**\n", - "No module named 'pyneuroml'\n", - "**\n" - ] - } - ], - "source": [ - "import sys\n", - "\n", - "sys.path.insert(0, '..')\n", - "\n", - "import shutil\n", - "import os\n", - "import uuid\n", - "from biosimulator_processes.execute import exec_utc_comparison\n", - "from bio_check.worker.compare import generate_biosimulators_utc_comparison\n", - "from bio_check.storage.database import MongoDbConnector\n", - "from pymongo.mongo_client import MongoClient\n", - "from dotenv import load_dotenv\n", - "import os \n", - "\n", - "_outs = './test_outputs'\n", - "if os.path.exists(_outs):\n", - " shutil.rmtree(_outs)\n", - "\n", - "\n", - "def jobid(): return str(uuid.uuid4())\n", - "\n", - "\n", - "load_dotenv(\"../.env\")\n", - "uri = os.getenv(\"MONGO_DB_URI\")\n", - "omex_source_dir = './examples/sbml-core'\n", - "omex_name = 'Elowitz-Nature-2000-Repressilator.omex'\n", - "omex_fp = os.path.join(omex_source_dir, omex_name)\n", - "out_dir = './test_outputs'\n", - "simulators = ['amici', 'copasi', 'tellurium']\n", - "spec_name = 'cI mRNA'\n", - "job_id = jobid()\n", - "db_connector = MongoDbConnector(connection_uri=uri, database_id=\"service_requests\")" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33b6115c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Collection(Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'service_requests'), 'pending_jobs')" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "db_connector.db.pending_jobs" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "2f5aafbbc866df77", - "metadata": { - "ExecuteTime": { - "end_time": "2024-06-22T16:39:00.807727Z", - "start_time": "2024-06-22T16:39:00.287838Z" - } - }, - "outputs": [], - "source": [ - "completed_job_ids = [job['job_id'] for job in db_connector.db.completed_jobs.find()]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e1c4c896d5bff824", - "metadata": { - "ExecuteTime": { - "end_time": "2024-06-22T16:39:03.047841Z", - "start_time": "2024-06-22T16:39:03.045069Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "['fc0a387c-460d-4e39-a37f-2fde2956995b',\n", - " 'cc354a90-3e2c-413a-8b14-1649a3889f3b',\n", - " '32039414-12e0-4d45-92a2-b4b767b538c1',\n", - " 'b217408e-93dc-4f78-b782-559e2e96bdc6',\n", - " 'c03953a4-0d7d-43d9-99aa-8a76a44ab648',\n", - " '07bf43cc-b22a-4b43-b0b2-4e62cb3bfeb6',\n", - " '72ac9c44-da31-4e2c-8370-3fd04156a9a2',\n", - " 'e147074e-ec55-4e42-9b5c-d17a43ffc77e',\n", - " '814ff7d4-3a8e-4756-b620-379da494a4eb',\n", - " '4d16c302-dc3b-4303-8985-b84f082fe678',\n", - " 'abeffefc-a99e-43d8-bc5d-5220775cb5fb',\n", - " '818de448-fb75-4182-ac16-81093bbd590e',\n", - " 'ede41e9c-4bf2-4827-bcc7-b1b54f921b6e',\n", - " 'c23bfc3c-5823-46d0-af36-0312e51f735d',\n", - " '478842ba-3b3c-4740-993a-8fa5c87edbb1',\n", - " 'e94adec8-550d-4eb5-9771-25e14724a971',\n", - " '68a75e03-193e-4734-bc59-704a27314080']" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "completed_job_ids" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f02cdcdc158003a5", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/tests/test_service.ipynb b/tests/test_service.ipynb deleted file mode 100644 index 5eee255c3..000000000 --- a/tests/test_service.ipynb +++ /dev/null @@ -1,11352 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "bceb26e8b8d518e4", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:00:05.252170Z", - "start_time": "2024-07-28T02:00:05.247176Z" - } - }, - "outputs": [], - "source": [ - "import sys \n", - "import os \n", - "sys.path.insert(0, '..')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "initial_id", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:00:06.618860Z", - "start_time": "2024-07-28T02:00:06.217986Z" - }, - "collapsed": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'bio-check-message': 'Hello from the Verification Service API!'}\n" - ] - } - ], - "source": [ - "from bio_check import Verifier \n", - "\n", - "Verifier = Verifier()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "8165ec47aec1c290", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:00:08.807578Z", - "start_time": "2024-07-28T02:00:08.801226Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(True, True)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "omex_dir = \"../model-examples/sbml-core/Elowitz-Nature-2000-Repressilator\"\n", - "omex_fp = omex_dir + \".omex\"\n", - "report_fp = os.path.join(omex_dir, \"reports.h5\")\n", - "simulators = ['amici', 'copasi', 'tellurium']\n", - "\n", - "os.path.exists(omex_fp), os.path.exists(report_fp)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "8493a97bc035e21a", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T01:39:01.747006Z", - "start_time": "2024-07-28T01:39:00.729852Z" - } - }, - "outputs": [], - "source": [ - "# upload a new comparison\n", - "submission = service.submit(omex_filepath=omex_fp, simulators=simulators, ground_truth_report_path=report_fp)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "5ed7600dc139d189", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T01:39:02.336702Z", - "start_time": "2024-07-28T01:39:02.333192Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'job_id': 'feb3c913-1932-4372-a5e6-abc2121e7c97',\n", - " 'status': 'PENDING',\n", - " 'timestamp': '2024-07-28 01:39:01.264194',\n", - " 'comparison_id': 'uniform-time-course-comparison-feb3c913-1932-4372-a5e6-abc2121e7c97',\n", - " 'omex_path': 'uploads/feb3c913-1932-4372-a5e6-abc2121e7c97/Elowitz-Nature-2000-Repressilator.omex',\n", - " 'simulators': ['amici', 'copasi', 'tellurium'],\n", - " 'ground_truth_report_path': 'uploads/feb3c913-1932-4372-a5e6-abc2121e7c97/reports.h5',\n", - " 'include_output': True}" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "submission" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "876c5280397f4947", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "beee490b58eba44", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T01:21:23.048418Z", - "start_time": "2024-07-28T01:21:23.045149Z" - } - }, - "outputs": [], - "source": [ - "from time import sleep \n", - "\n", - "\n", - "def fetch_result(comparison_id: str, polling_timer: int = 5, timeout_thresh: int = 10):\n", - " n_tries = 0\n", - " output = None\n", - " while n_tries < timeout_thresh + 1:\n", - " result = service.fetch(comparison_id)\n", - " \n", - " status = result.get('status', 'ERROR')\n", - " if status == 'IN_PROGRESS':\n", - " n_tries += 1\n", - " sleep(polling_timer)\n", - " else:\n", - " output = result\n", - " break\n", - " \n", - " return output" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a962dcd0fa25b071", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:00:35.070551Z", - "start_time": "2024-07-28T02:00:34.801051Z" - } - }, - "outputs": [], - "source": [ - "# comparison_id = submission['comparison_id']\n", - "comparison_id = \"test0\"\n", - "\n", - "\n", - "result = service.fetch(comparison_id)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "5857d0817ddb5887", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:00:35.731767Z", - "start_time": "2024-07-28T02:00:35.728082Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'content': {'_id': '66a5a5f8d59d85379d9a3d3f',\n", - " 'job_id': '16963c3f-bcbc-4bcb-bb1b-9f10da4ea114',\n", - " 'status': 'IN_PROGRESS',\n", - " 'timestamp': '2024-07-28 01:59:20.758092',\n", - " 'comparison_id': 'test0',\n", - " 'worker_id': 'b6ac8dd4-2508-4661-9bac-58fd5bb02c30'}}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "2b450911faa79930", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T01:24:16.338988Z", - "start_time": "2024-07-28T01:24:16.042139Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'content': {'job_id': '5ae6f22f-38d8-4402-b491-b8faae84adda',\n", - " 'status': 'PENDING'}}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "service.fetch(comparison_id=comparison_id)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "4972334d64273ad7", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:01:32.270774Z", - "start_time": "2024-07-28T02:01:31.990678Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'content': {'_id': '66a5a5f8d59d85379d9a3d3f',\n", - " 'job_id': '16963c3f-bcbc-4bcb-bb1b-9f10da4ea114',\n", - " 'status': 'IN_PROGRESS',\n", - " 'timestamp': '2024-07-28 01:59:20.758092',\n", - " 'comparison_id': 'test0',\n", - " 'worker_id': 'b6ac8dd4-2508-4661-9bac-58fd5bb02c30'}}" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "service.fetch(comparison_id=comparison_id)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "f34a3f45bb91097", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-28T02:02:16.175660Z", - "start_time": "2024-07-28T02:02:15.638762Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'content': {'_id': '66a5a68dd59d85379d9a3d40',\n", - " 'job_id': 'e70a0939-b0f4-464a-abdd-90262ea2e7ca',\n", - " 'status': 'COMPLETED',\n", - " 'timestamp': '2024-07-28 02:01:49.542160',\n", - " 'comparison_id': 'test0',\n", - " 'results': {'results': [{'species_name': 'LacI protein',\n", - " 'mse': {'amici': {'amici': 0.0,\n", - " 'copasi': 1030480.1429617752,\n", - " 'tellurium': 0.00044158302559360634,\n", - " 'ground_truth': 5.938111278270121e-05},\n", - " 'copasi': {'amici': 1030480.1429617752,\n", - " 'copasi': 0.0,\n", - " 'tellurium': 1030471.1741705163,\n", - " 'ground_truth': 1030483.314052364},\n", - " 'tellurium': {'amici': 0.00044158302559360634,\n", - " 'copasi': 1030471.1741705163,\n", - " 'tellurium': 0.0,\n", - " 'ground_truth': 0.000819744293110187},\n", - " 'ground_truth': {'amici': 5.938111278270121e-05,\n", - " 'copasi': 1030483.314052364,\n", - " 'tellurium': 0.000819744293110187,\n", - " 'ground_truth': 0.0}},\n", - " 'proximity': {'amici': {'amici': True,\n", - " 'copasi': False,\n", - " 'tellurium': True,\n", - " 'ground_truth': True},\n", - " 'copasi': {'amici': False,\n", - " 'copasi': True,\n", - " 'tellurium': False,\n", - " 'ground_truth': False},\n", - " 'tellurium': {'amici': True,\n", - " 'copasi': False,\n", - " 'tellurium': True,\n", - " 'ground_truth': True},\n", - " 'ground_truth': {'amici': True,\n", - " 'copasi': False,\n", - " 'tellurium': True,\n", - " 'ground_truth': True}},\n", - " 'output_data': {'amici': [1971.2685725983274,\n", - " 2056.478842725034,\n", - " 2133.4750014522638,\n", - " 2200.7609953341134,\n", - " 2256.9624325043765,\n", - " 2300.8927338252797,\n", - " 2331.620371915326,\n", - " 2348.529840962409,\n", - " 2351.3691135019226,\n", - " 2340.2747840510365,\n", - " 2315.7701406961232,\n", - " 2278.7345405500023,\n", - " 2230.3473385123825,\n", - " 2172.013172285068,\n", - " 2105.2783300699116,\n", - " 2031.7473982228832,\n", - " 1953.0082558072259,\n", - " 1870.5706180577708,\n", - 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" 3.0299385776195917,\n", - " 3.423986808326521,\n", - " 3.8663082281848915,\n", - " 4.361617903655451]}}],\n", - " 'id': 'test0',\n", - " 'simulators': ['amici', 'copasi', 'tellurium']}}}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "service.fetch(comparison_id=comparison_id)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7e619d5427460a18", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/tests/test_storage.ipynb b/tests/test_storage.ipynb deleted file mode 100644 index 38e308c17..000000000 --- a/tests/test_storage.ipynb +++ /dev/null @@ -1,265 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "id": "initial_id", - "metadata": { - "collapsed": true, - "ExecuteTime": { - "end_time": "2024-06-22T16:34:12.106062Z", - "start_time": "2024-06-22T16:34:11.940631Z" - } - }, - "source": [ - "import sys\n", - "\n", - "sys.path.insert(0, '..')\n", - "\n", - "import shutil\n", - "import os\n", - "import uuid\n", - "from bio_check.data_model import MongoDbConnector\n", - "from pymongo.mongo_client import MongoClient\n", - "from dotenv import load_dotenv\n", - "import os \n", - "\n", - "_outs = './test_outputs'\n", - "if os.path.exists(_outs):\n", - " shutil.rmtree(_outs)\n", - "\n", - "\n", - "def jobid(): return str(uuid.uuid4())\n", - "\n", - "\n", - "load_dotenv(\"../bio_check/.env\")\n", - "uri = os.getenv(\"MONGO_DB_URI\")\n", - "omex_source_dir = './examples/sbml-core'\n", - "omex_name = 'Elowitz-Nature-2000-Repressilator.omex'\n", - "omex_fp = os.path.join(omex_source_dir, omex_name)\n", - "out_dir = './test_outputs'\n", - "simulators = ['amici', 'copasi', 'tellurium']\n", - "spec_name = 'cI mRNA'\n", - "job_id = jobid()\n", - "db_connector = MongoDbConnector(client=MongoClient(uri), database_id=\"service_requests\")" - ], - "outputs": [], - "execution_count": 1 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from scipy.fft import fft, fftfreq\n", - "\n", - "def generate_audio_waveform(frequencies, amplitudes, duration, sampling_rate, noise_level):\n", - " \"\"\"\n", - " Generate a complex noisy waveform that resembles audio.\n", - "\n", - " Parameters:\n", - " - frequencies (list of float): List of frequencies for the sine waves in Hz.\n", - " - amplitudes (list of float): List of amplitudes for the sine waves.\n", - " - duration (float): Duration of the wave in seconds.\n", - " - sampling_rate (float): Sampling rate in samples per second (Hz).\n", - " - noise_level (float): Standard deviation of the Gaussian noise to be added.\n", - "\n", - " Returns:\n", - " - np.ndarray: Noisy waveform as a NumPy array.\n", - " \"\"\"\n", - " t = np.linspace(0, duration, int(sampling_rate * duration), endpoint=False)\n", - " waveform = np.zeros_like(t)\n", - " \n", - " for freq, amp in zip(frequencies, amplitudes):\n", - " waveform += amp * np.sin(2 * np.pi * freq * t)\n", - " \n", - " noise = noise_level * np.random.normal(size=t.shape)\n", - " noisy_waveform = waveform + noise\n", - " \n", - " return noisy_waveform\n", - "\n", - "def perform_fft_and_display_frequencies(signal, sampling_rate, threshold=0.1):\n", - " \"\"\"\n", - " Perform FFT on the signal and display the fundamental frequencies.\n", - "\n", - " Parameters:\n", - " - signal (np.ndarray): Input signal.\n", - " - sampling_rate (float): Sampling rate of the signal.\n", - " - threshold (float): Threshold for determining significant frequencies.\n", - " \"\"\"\n", - " N = len(signal)\n", - " yf = fft(signal)\n", - " xf = fftfreq(N, 1 / sampling_rate)[:N//2]\n", - "\n", - " plt.figure(figsize=(12, 6))\n", - " plt.plot(xf, 2.0/N * np.abs(yf[:N//2]))\n", - " plt.title(\"Frequency Spectrum\")\n", - " plt.xlabel(\"Frequency (Hz)\")\n", - " plt.ylabel(\"Amplitude\")\n", - " plt.grid()\n", - " plt.show()\n", - "\n", - " # Identify significant frequencies\n", - " amplitudes = 2.0/N * np.abs(yf[:N//2])\n", - " significant_frequencies = xf[amplitudes > threshold]\n", - " significant_amplitudes = amplitudes[amplitudes > threshold]\n", - "\n", - " print(\"Significant Frequencies:\")\n", - " for freq, amp in zip(significant_frequencies, significant_amplitudes):\n", - " print(f\"Frequency: {freq:.2f} Hz, Amplitude: {amp:.2f}\")\n", - "\n", - "# Example usage\n", - "if __name__ == \"__main__\":\n", - " frequencies = [100, 200, 300, 400] # Frequencies in Hz\n", - " amplitudes = [1.0, 0.5, 0.25, 0.125] # Amplitudes of the waves\n", - " duration = 2.0 # Duration in seconds\n", - " sampling_rate = 44100 # Sampling rate in Hz\n", - " noise_level = 0.05 # Noise level (standard deviation of the noise)\n", - "\n", - " wave = generate_audio_waveform(frequencies, amplitudes, duration, sampling_rate, noise_level)\n", - " \n", - " # Perform FFT and display frequencies\n", - " perform_fft_and_display_frequencies(wave, sampling_rate)\n" - ], - "id": "e92fffec1a8194df" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-09T16:44:10.343508Z", - "start_time": "2024-07-09T16:44:07.544890Z" - } - }, - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import Jetson.GPIO as GPIO\n", - "import time\n", - "\n", - "class FunctionGenerator:\n", - " def __init__(self, amplitude=1.0, frequency=1.0, phase=0.0, sample_rate=1000):\n", - " self.amplitude = amplitude\n", - " self.frequency = frequency\n", - " self.phase = phase\n", - " self.sample_rate = sample_rate\n", - " \n", - " def generate_time_array(self, duration):\n", - " return np.linspace(0, duration, int(self.sample_rate * duration), endpoint=False)\n", - " \n", - " def sine_wave(self, duration):\n", - " t = self.generate_time_array(duration)\n", - " return t, self.amplitude * np.sin(2 * np.pi * self.frequency * t + self.phase)\n", - " \n", - " def square_wave(self, duration):\n", - " t = self.generate_time_array(duration)\n", - " return t, self.amplitude * np.sign(np.sin(2 * np.pi * self.frequency * t + self.phase))\n", - " \n", - " def triangle_wave(self, duration):\n", - " t = self.generate_time_array(duration)\n", - " return t, self.amplitude * (2 * np.arcsin(np.sin(2 * np.pi * self.frequency * t + self.phase)) / np.pi)\n", - " \n", - " def sawtooth_wave(self, duration):\n", - " t = self.generate_time_array(duration)\n", - " return t, self.amplitude * (2 * (t * self.frequency - np.floor(t * self.frequency + 0.5)))\n", - "\n", - " def pwm_output(self, duration, waveform, pin=12):\n", - " GPIO.setmode(GPIO.BOARD)\n", - " GPIO.setup(pin, GPIO.OUT)\n", - " pwm = GPIO.PWM(pin, self.sample_rate)\n", - " pwm.start(0)\n", - " \n", - " t, data = waveform(duration)\n", - " \n", - " for i in range(len(data)):\n", - " duty_cycle = (data[i] + self.amplitude) / (2 * self.amplitude) * 100\n", - " pwm.ChangeDutyCycle(duty_cycle)\n", - " time.sleep(1 / self.sample_rate)\n", - " \n", - " pwm.stop()\n", - " GPIO.cleanup()\n", - "\n", - "# Example usage\n", - "if __name__ == \"__main__\":\n", - " fg = FunctionGenerator(amplitude=1.0, frequency=5.0, sample_rate=5000)\n", - " duration = 1.0 # seconds\n", - " \n", - " # Generate and output waveforms\n", - " fg.pwm_output(duration, fg.sine_wave, pin=12)\n", - " \n", - " # Optional: Generate waveforms and plot them\n", - " t_sine, sine_wave = fg.sine_wave(duration)\n", - " t_square, square_wave = fg.square_wave(duration)\n", - " t_triangle, triangle_wave = fg.triangle_wave(duration)\n", - " t_sawtooth, sawtooth_wave = fg.sawtooth_wave(duration)\n", - " \n", - " # Plot waveforms\n", - " plt.figure(figsize=(12, 8))\n", - " \n", - " plt.subplot(2, 2, 1)\n", - " plt.plot(t_sine, sine_wave)\n", - " plt.title(\"Sine Wave\")\n", - " \n", - " plt.subplot(2, 2, 2)\n", - " plt.plot(t_square, square_wave)\n", - " plt.title(\"Square Wave\")\n", - " \n", - " plt.subplot(2, 2, 3)\n", - " plt.plot(t_triangle, triangle_wave)\n", - " plt.title(\"Triangle Wave\")\n", - " \n", - " plt.subplot(2, 2, 4)\n", - " plt.plot(t_sawtooth, sawtooth_wave)\n", - " plt.title(\"Sawtooth Wave\")\n", - " \n", - " plt.tight_layout()\n", - " plt.show()\n" - ], - "id": "6e610e77b005ba4c", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" 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