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| from fastapi.old_util import get_doc_paths | |
| from zipfile import ZipFile | |
| import numpy as np | |
| import time | |
| def html_response(thoughts): | |
| html = '<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">' | |
| html += '<link rel="stylesheet" type="text/css" href="/assets/style.css" media="screen" />' | |
| html += '<script src="//code.jquery.com/jquery-1.10.2.js"></script>' | |
| html += '<script> $(function(){$("#header").load("/assets/header.html");}); </script>' | |
| html += '<div id="header""></div><div class="board">' | |
| for thought in thoughts: | |
| html += '<div class="card">' | |
| if thought.modality == 'language': | |
| content = open(thought.filename, 'r').read() | |
| html += '<div class="card-body">' + content + '</div>' | |
| else: | |
| html += '<img class="card-img" src=\"/' + \ | |
| thought.filename + '\">' | |
| html += '</div><br/>' | |
| html += '</div>' | |
| return html | |
| def save_success_response(): | |
| return open('assets/success.html').read() | |
| def save_lang_form_response(): | |
| return open('assets/save_lang.html').read() | |
| def save_imag_form_response(): | |
| return open('assets/save_imag.html').read() | |
| def find_lang_form_response(): | |
| return open('assets/find_lang.html').read() | |
| def find_imag_form_response(): | |
| return open('assets/find_imag.html').read() | |
| def archive_response(): | |
| paths = get_doc_paths('conceptarium') | |
| with ZipFile('conceptarium.zip', 'w') as zip: | |
| for path in paths: | |
| zip.write(path) | |
| return 'conceptarium.zip' | |
| def plaintext_response(thoughts): | |
| plaintext = '' | |
| for thought in thoughts: | |
| if thought.modality == 'language': | |
| content = open(thought.filename, 'r').read() | |
| plaintext += '\"' + content + '\"\n' | |
| return plaintext | |
| def file_response(thoughts): | |
| for thought in thoughts: | |
| if thought.modality == 'imagery': | |
| return thought.filename | |
| def json_response(thoughts): | |
| response_json = [] | |
| for thought in thoughts: | |
| thought_json = { | |
| 'timestamp': thought.timestamp, | |
| 'interest': thought.interest, | |
| 'activation': np.log(thought.interest / (1 - 0.9)) - 0.9 * np.log((time.time() - thought.timestamp) / (3600 * 24) + 0.1), | |
| 'modality': thought.modality, | |
| 'embedding': thought.embedding.tolist(), | |
| } | |
| if thought.modality == 'language': | |
| thought_json['content'] = open(thought.filename, 'r').read() | |
| else: | |
| thought_json['filename'] = '/' + thought.filename | |
| response_json += [thought_json] | |
| return response_json | |