├── .gitignore ├── LICENSE ├── Procfile ├── README.md ├── app.py ├── config.py ├── covid19-cuba.json ├── cubadata.jpg ├── datamodel.py ├── font.ttf ├── imagemark.py ├── mdb.py ├── requirements.txt └── restart.sh /.gitignore: -------------------------------------------------------------------------------- 1 | .vscode 2 | *.png 3 | *.pyc 4 | env.sh -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published 637 | by the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /Procfile: -------------------------------------------------------------------------------- 1 | web: gunicorn app:app --log-file - 2 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # covid19cuba_api 2 | 3 | API for Covid19CubaData 4 | 5 | ## Example endpoints 6 | 7 | - https://covid19cuba-api.herokuapp.com/summary 8 | - https://covid19cuba-api.herokuapp.com/summary_graph1 9 | - https://covid19cuba-api.herokuapp.com/summary_graph2 10 | - https://covid19cuba-api.herokuapp.com/evolution 11 | - https://covid19cuba-api.herokuapp.com/evolution_recuperados 12 | - https://covid19cuba-api.herokuapp.com/evolution_fallecidos 13 | - https://covid19cuba-api.herokuapp.com/evolution_text 14 | - https://covid19cuba-api.herokuapp.com/sexo 15 | - https://covid19cuba-api.herokuapp.com/sexo_text 16 | - https://covid19cuba-api.herokuapp.com/modo 17 | - https://covid19cuba-api.herokuapp.com/modo_text 18 | - https://covid19cuba-api.herokuapp.com/casos_extranjeros 19 | - https://covid19cuba-api.herokuapp.com/casos_extranjeros_text 20 | - https://covid19cuba-api.herokuapp.com/nacionalidad 21 | - https://covid19cuba-api.herokuapp.com/nacionalidad_text 22 | - https://covid19cuba-api.herokuapp.com/edad 23 | - https://covid19cuba-api.herokuapp.com/edad_text 24 | - https://covid19cuba-api.herokuapp.com/test 25 | - https://covid19cuba-api.herokuapp.com/test_text 26 | - https://covid19cuba-api.herokuapp.com/provincias 27 | - https://covid19cuba-api.herokuapp.com/provincias_text 28 | - https://covid19cuba-api.herokuapp.com/municipios 29 | - https://covid19cuba-api.herokuapp.com/municipios_text 30 | 31 | 32 | -------------------------------------------------------------------------------- /app.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | from flask import Flask, jsonify, send_file, request 4 | from flask_cors import CORS 5 | 6 | # Graphics 7 | import seaborn as sns 8 | sns.set_style('darkgrid') 9 | 10 | from imagemark import watermark_text 11 | 12 | from matplotlib.backends.backend_agg import FigureCanvasAgg 13 | from matplotlib.figure import Figure 14 | 15 | ### COLOR 16 | red = '#f44336' 17 | blue = '#2196f3' 18 | yellow = '#ffeb3b' 19 | green = '#4caf50' 20 | cyan = '#00577b' 21 | black='#1c1340' 22 | 23 | # Data model 24 | import datamodel 25 | 26 | data = datamodel.DataModel() 27 | 28 | # Setting api 29 | app = Flask(__name__, 30 | static_url_path='', 31 | static_folder='.' 32 | ) 33 | 34 | CORS(app) 35 | 36 | @app.route('/', methods=['GET']) 37 | def index(): 38 | return jsonify({ 39 | 'message': 'COVID19 Cuba Data API', 40 | }) 41 | 42 | 43 | 44 | @app.route('/summary', methods=['GET']) 45 | def resume(): 46 | datamodel.updater(data) # Call to update 47 | 48 | increment = data.diagnosticados[-1] - data.diagnosticados[-2] 49 | 50 | if increment > 0: 51 | increment = '🔺{}'.format(str(increment)) 52 | else: 53 | increment = '🔻{}'.format(str(increment*-1)) 54 | 55 | return jsonify({ 56 | 'Diagnosticados': data.total_diagnosticados, 57 | 'DiagnosticadosDay': str(data.diagnosticados[-1]) + ' ({})'.format(increment), 58 | 'Activos': data.total_activos, 59 | 'Recuperados': data.total_recuperados, 60 | 'Recuperacion': round(data.total_recuperados * 100 / data.total_activos, 1), 61 | 'Evacuados': data.total_evacuados, 62 | 'Muertes': data.total_muertes, 63 | 'Ingresados': data.total_ingresados, 64 | 'Mortalidad': round(data.total_muertes * 100 / data.total_diagnosticados, 1), 65 | 'Updated': data.fecha 66 | }) 67 | 68 | @app.route('/summary_graph1', methods=['GET']) 69 | def summary_graph1(): 70 | datamodel.updater(data) # Call to update 71 | 72 | fig = Figure(figsize=(9, 6)) 73 | 74 | ax = fig.add_subplot(1, 1, 1) 75 | 76 | total = data.total_diagnosticados + data.total_recuperados + data.total_evacuados + data.total_muertes 77 | 78 | wedges, _, _ = ax.pie([data.total_diagnosticados, data.total_recuperados, data.total_evacuados, data.total_muertes], autopct='%1.1f%%', startangle=90, wedgeprops=dict(width=0.95), colors=[red, blue, yellow, green]) 79 | ax.legend(wedges, [ 80 | 'Diagnosticados ' + str(round(data.total_diagnosticados/total*100, 1)) + '%', 81 | 'Recuperados ' + str(round(data.total_recuperados/total*100, 1)) + '%', 82 | 'Evacuados ' + str(round(data.total_evacuados/total*100, 1)) + '%', 83 | 'Fallecidos ' + str(round(data.total_muertes/total*100, 1)) + '%', 84 | ], loc='lower center', bbox_to_anchor=(0.9,0,0.5,1)) 85 | 86 | ax.set_title('Resumen', fontsize=20) 87 | 88 | FigureCanvasAgg(fig).print_png('summary1.png') 89 | 90 | apiurl = config.SERVER_URI + '/summary_graph1' 91 | watermark_text('summary1.png', 'summary1.png', apiurl, (0,0)) 92 | 93 | return send_file( 94 | 'summary1.png' 95 | ) 96 | 97 | @app.route('/summary_graph2', methods=['GET']) 98 | def summary_graph2(): 99 | datamodel.updater(data) # Call to update 100 | 101 | fig = Figure(figsize=(9, 6)) 102 | 103 | ax = fig.add_subplot(1, 1, 1) 104 | 105 | total = data.total_ingresados + data.total_activos 106 | 107 | wedges, _, _ = ax.pie([data.total_ingresados, data.total_activos], autopct='%1.1f%%', startangle=90, wedgeprops=dict(width=0.95), colors=[blue, red]) 108 | ax.legend(wedges, [ 109 | 'Ingresados ' + str(round(data.total_ingresados/total*100, 1)) + '%', 110 | 'Activos ' + str(round(data.total_activos/total*100, 1)) + '%', 111 | ], loc='lower center', bbox_to_anchor=(0.9,0,0.5,1)) 112 | 113 | ax.set_title('Activos | Ingresados', fontsize=20) 114 | 115 | FigureCanvasAgg(fig).print_png('summary2.png') 116 | 117 | apiurl = config.SERVER_URI + '/summary_graph2' 118 | watermark_text('summary2.png', 'summary2.png', apiurl, (0,0)) 119 | 120 | return send_file( 121 | 'summary2.png' 122 | ) 123 | 124 | @app.route('/evolution', methods=['GET']) 125 | def evolution(): 126 | datamodel.updater(data) # Call to update 127 | 128 | fig = Figure(figsize=(12, 8)) 129 | 130 | ax = fig.add_subplot(1, 1, 1) 131 | 132 | xss = [str(i) for i in range(1,len(data.diagnosticados_acc)+1)] 133 | xs = range(0,len(data.diagnosticados_acc)) 134 | 135 | ax.plot(xss, data.diagnosticados_acc, 'o-', label='Casos acumulados', color=red, alpha=0.5) 136 | ax.plot(xss, data.activos_acc, 'o-', label='Casos activos', color=red) 137 | ax.plot(xss, data.diagnosticados, 'o-', label='Casos en el día', color=cyan) 138 | 139 | for x, y in zip(xs, data.diagnosticados_acc): 140 | label = "{}".format(y) 141 | 142 | ax.annotate(label, 143 | (x,y), 144 | textcoords='offset points', 145 | xytext=(0,10), 146 | ha='center') 147 | 148 | for x, y in zip(xs, data.activos_acc): 149 | label = "{}".format(y) 150 | 151 | ax.annotate(label, 152 | (x,y), 153 | textcoords='offset points', 154 | xytext=(0,10), 155 | ha='center') 156 | 157 | for x, y in zip(xs, data.diagnosticados): 158 | label = "{}".format(y) 159 | 160 | ax.annotate(label, 161 | (x,y), 162 | textcoords='offset points', 163 | xytext=(0,-17), 164 | ha='center') 165 | 166 | ax.set_title('Evolución de casos por días', fontsize=20) 167 | fig.legend(frameon=True, fontsize=12) 168 | 169 | FigureCanvasAgg(fig).print_png('evolution.png') 170 | 171 | apiurl = config.SERVER_URI + '/evolution' 172 | watermark_text('evolution.png', 'evolution.png', apiurl, (0,0)) 173 | 174 | return send_file( 175 | 'evolution.png' 176 | ) 177 | 178 | @app.route('/evolution_recuperados', methods=['GET']) 179 | def evolution_recuperados(): 180 | datamodel.updater(data) # Call to update 181 | 182 | fig = Figure(figsize=(12, 7)) 183 | 184 | ax = fig.add_subplot(1, 1, 1) 185 | 186 | xss = [str(i) for i in range(1,len(data.muertes_acc)+1)] 187 | xs = range(0,len(data.muertes_acc)) 188 | 189 | ax.plot(xss, data.recuperados_acc, 'o-',label='Altas acumuladas', color=blue) 190 | ax.plot(xss, data.recuperados, 'o-',label='Altas en el día', color=cyan) 191 | 192 | for x, y in zip(xs, data.recuperados_acc): 193 | label = "{}".format(y) 194 | 195 | ax.annotate(label, 196 | (x,y), 197 | textcoords='offset points', 198 | xytext=(0,10), 199 | ha='center') 200 | 201 | for x, y in zip(xs, data.recuperados): 202 | label = "{}".format(y) 203 | 204 | ax.annotate(label, 205 | (x,y), 206 | textcoords='offset points', 207 | xytext=(0,-15), 208 | ha='center') 209 | 210 | ax.set_title('Evolución de altas por días', fontsize=15) 211 | fig.legend(frameon=True, fontsize=12) 212 | 213 | FigureCanvasAgg(fig).print_png('recuperados.png') 214 | 215 | apiurl = config.SERVER_URI + '/evolution_recuperados' 216 | watermark_text('recuperados.png', 'recuperados.png', apiurl, (0,0)) 217 | 218 | return send_file( 219 | 'recuperados.png' 220 | ) 221 | 222 | 223 | @app.route('/evolution_fallecidos', methods=['GET']) 224 | def evolution_fallecidos(): 225 | datamodel.updater(data) # Call to update 226 | 227 | fig = Figure(figsize=(12, 7)) 228 | 229 | ax = fig.add_subplot(1, 1, 1) 230 | 231 | xss = [str(i) for i in range(1,len(data.muertes_acc)+1)] 232 | xs = range(0,len(data.muertes_acc)) 233 | 234 | ax.plot(xss, data.muertes_acc, 'o-',label='Muertes acumuladas', color=black) 235 | ax.plot(xss, data.muertes, 'o-',label='Muertes en el día', color=cyan) 236 | 237 | for x, y in zip(xs, data.muertes_acc): 238 | label = "{}".format(y) 239 | 240 | ax.annotate(label, 241 | (x,y), 242 | textcoords='offset points', 243 | xytext=(0,10), 244 | ha='center') 245 | 246 | for x, y in zip(xs, data.muertes): 247 | label = "{}".format(y) 248 | 249 | ax.annotate(label, 250 | (x,y), 251 | textcoords='offset points', 252 | xytext=(0,-15), 253 | ha='center') 254 | 255 | ax.set_title('Evolución de muertes por días', fontsize=15) 256 | fig.legend(frameon=True, fontsize=12) 257 | 258 | FigureCanvasAgg(fig).print_png('fallecidos.png') 259 | 260 | apiurl = config.SERVER_URI + '/evolution_fallecidos' 261 | watermark_text('fallecidos.png', 'fallecidos.png', apiurl, (0,0)) 262 | 263 | return send_file( 264 | 'fallecidos.png' 265 | ) 266 | 267 | @app.route('/evolution_text', methods=['GET']) 268 | def evolution_text(): 269 | datamodel.updater(data) # Call to update 270 | 271 | return jsonify({ 272 | 'diagnosticados': data.diagnosticados, 273 | 'diagnosticados_acc': data.diagnosticados_acc, 274 | 'fallecidos': data.muertes, 275 | 'fallecidos_acc': data.muertes_acc, 276 | 'recuperados': data.recuperados, 277 | 'recuperados_acc': data.recuperados_acc 278 | }) 279 | 280 | @app.route('/sexo', methods=['GET']) 281 | def sexo(): 282 | datamodel.updater(data) # Call to update 283 | 284 | fig = Figure(figsize=(8, 6)) 285 | 286 | ax = fig.add_subplot(1, 1, 1) 287 | 288 | wedges, _, _ = ax.pie([data.mujeres, data.hombres, data.non_sex], autopct='%1.1f%%', startangle=90, wedgeprops=dict(width=0.95), colors=[red, blue, yellow]) 289 | 290 | ax.set_title('Casos por sexo', fontsize=20) 291 | ax.legend(wedges, data.sex_labels, loc='lower center', bbox_to_anchor=(0.9,0,0.5,0.5)) 292 | 293 | FigureCanvasAgg(fig).print_png('sexo.png') 294 | 295 | apiurl = config.SERVER_URI + '/sexo' 296 | watermark_text('sexo.png', 'sexo.png', apiurl, (0,0)) 297 | 298 | return send_file( 299 | 'sexo.png' 300 | ) 301 | 302 | @app.route('/sexo_text', methods=['GET']) 303 | def sexo_text(): 304 | datamodel.updater(data) # Call to update 305 | 306 | return jsonify({ 307 | 'mujeres': data.mujeres, 308 | 'hombres': data.hombres, 309 | 'no determinado': data.non_sex 310 | }) 311 | 312 | @app.route('/modo', methods=['GET']) 313 | def modo(): 314 | datamodel.updater(data) # Call to update 315 | 316 | fig = Figure(figsize=(8, 6)) 317 | 318 | ax = fig.add_subplot(1, 1, 1) 319 | 320 | wedges, _, _ = ax.pie(data.modos_values, autopct='%1.1f%%', startangle=90, wedgeprops=dict(width=0.95), colors=[blue, red, yellow, green]) 321 | 322 | ax.set_title('Casos por modo de contagio', fontsize=20) 323 | ax.legend(wedges, data.modos_labels, loc='lower center', bbox_to_anchor=(0.9,0,0.5,0.5)) 324 | 325 | FigureCanvasAgg(fig).print_png('modo.png') 326 | 327 | apiurl = config.SERVER_URI + '/modo' 328 | watermark_text('modo.png', 'modo.png', apiurl, (0,0)) 329 | 330 | return send_file( 331 | 'modo.png' 332 | ) 333 | 334 | @app.route('/modo_text', methods=['GET']) 335 | def modo_text(): 336 | datamodel.updater(data) # Call to update 337 | 338 | return jsonify({ 339 | 'labels': data.modos_labels, 340 | 'values': data.modos_values, 341 | }) 342 | 343 | @app.route('/casos_extranjeros', methods=['GET']) 344 | def casos_extranjeros(): 345 | datamodel.updater(data) # Call to update 346 | 347 | fig = Figure(figsize=(8, 6)) 348 | 349 | ax = fig.add_subplot(1, 1, 1) 350 | 351 | ax.bar([str(k) for k in data.paises.keys()], [v for v in data.paises.values()], color=red) 352 | 353 | ax.set_title('Distribución por nacionalidad casos extranjeros', fontsize=20) 354 | 355 | FigureCanvasAgg(fig).print_png('paises.png') 356 | 357 | apiurl = config.SERVER_URI + '/casos_extranjeros' 358 | watermark_text('paises.png', 'paises.png', apiurl, (0,0)) 359 | 360 | return send_file( 361 | 'paises.png' 362 | ) 363 | 364 | @app.route('/casos_extranjeros_text', methods=['GET']) 365 | def casos_extranjeros_text(): 366 | datamodel.updater(data) # Call to update 367 | 368 | return jsonify(dict(data.paises)) 369 | 370 | @app.route('/nacionalidad', methods=['GET']) 371 | def nacionalidad(): 372 | datamodel.updater(data) # Call to update 373 | 374 | fig = Figure(figsize=(8, 6)) 375 | 376 | ax = fig.add_subplot(1, 1, 1) 377 | 378 | wedges, _, _ = ax.pie([data.cubanos, data.extranjeros], autopct='%1.1f%%', startangle=90, wedgeprops=dict(width=0.95), colors=[blue, red]) 379 | ax.legend(wedges, ['Cubanos', 'Extranjeros'], loc='lower center', bbox_to_anchor=(0.9,0,0.5,1)) 380 | 381 | ax.set_title('Casos por nacionalidad', fontsize=20) 382 | 383 | FigureCanvasAgg(fig).print_png('nacionalidad.png') 384 | 385 | apiurl = config.SERVER_URI + '/nacionalidad' 386 | watermark_text('nacionalidad.png', 'nacionalidad.png', apiurl, (0,0)) 387 | 388 | return send_file( 389 | 'nacionalidad.png' 390 | ) 391 | 392 | @app.route('/nacionalidad_text', methods=['GET']) 393 | def nacionalidad_text(): 394 | datamodel.updater(data) # Call to update 395 | 396 | return jsonify({ 397 | 'Cubanos': data.cubanos, 398 | 'Extranjeros': data.extranjeros, 399 | }) 400 | 401 | @app.route('/edad', methods=['GET']) 402 | def edad(): 403 | datamodel.updater(data) # Call to update 404 | 405 | fig = Figure(figsize=(8, 6)) 406 | 407 | ax = fig.add_subplot(1, 1, 1) 408 | 409 | ax.bar([str(k) for k in data.edades.keys()], [v for v in data.edades.values()], color=red) 410 | 411 | for x, y in enumerate(data.edades.values()): 412 | label = "{}".format(y) 413 | 414 | ax.annotate(label, 415 | (x,y), 416 | textcoords='offset points', 417 | xytext=(0,4), 418 | ha='center') 419 | 420 | ax.set_title('Distribución por grupos etarios', fontsize=20) 421 | 422 | FigureCanvasAgg(fig).print_png('edades.png') 423 | 424 | apiurl = config.SERVER_URI + '/edad' 425 | watermark_text('edades.png', 'edades.png', apiurl, (0,0)) 426 | 427 | return send_file( 428 | 'edades.png' 429 | ) 430 | 431 | @app.route('/edad_text', methods=['GET']) 432 | def edad_text(): 433 | datamodel.updater(data) # Call to update 434 | 435 | return jsonify(data.edades) 436 | 437 | @app.route('/test', methods=['GET']) 438 | def test(): 439 | datamodel.updater(data) # Call to update 440 | 441 | fig = Figure(figsize=(15, 6)) 442 | 443 | (ax1, ax2) = fig.subplots(1, 2) 444 | 445 | # Test realizados 446 | xss = [str(k) for k in range(12, data.cant_days+1)] 447 | xs = range(0, data.cant_days+1 - 12) 448 | 449 | ax1.bar(xss, data.cant_tests, color=red) 450 | ax1.bar(xss, data.detected_acc, color=yellow) 451 | 452 | for x, y in zip(xs, data.cant_tests): 453 | label = "{}".format(y) 454 | 455 | ax1.annotate(label, 456 | (x,y), 457 | textcoords='offset points', 458 | xytext=(0,4), 459 | ha='center') 460 | 461 | ax1.set_title('Tests acumulados por día') 462 | 463 | # Proporción entre casos confirmados y test realizados 464 | ax2.bar([str(k) for k in range(12, data.cant_days+1)], data.prop_test_vs_detected, color=red) 465 | 466 | ax2.set_title('Proporción detectados/tests realizados') 467 | 468 | FigureCanvasAgg(fig).print_png('tests.png') 469 | 470 | apiurl = config.SERVER_URI + '/test' 471 | watermark_text('tests.png', 'tests.png', apiurl, (0,0)) 472 | 473 | return send_file( 474 | 'tests.png' 475 | ) 476 | 477 | @app.route('/test_text', methods=['GET']) 478 | def test_text(): 479 | datamodel.updater(data) # Call to update 480 | 481 | return jsonify({ 482 | 'cant_tests': data.cant_tests, 483 | 'detected_acc': data.detected_acc, 484 | 'prop': data.prop_test_vs_detected, 485 | }) 486 | 487 | @app.route('/provincias', methods=['GET']) 488 | def provincia(): 489 | datamodel.updater(data) # Call to update 490 | 491 | fig = Figure(figsize=(15, 6)) 492 | 493 | ax = fig.add_subplot(1, 1, 1) 494 | 495 | provs = [] 496 | 497 | provs_values = [] 498 | 499 | for i, v in enumerate(data.locations): 500 | if v[0] != None: 501 | provs.append(str(v[0])) 502 | else: 503 | provs.append('Desconocido') 504 | 505 | provs_values.append(v[1]) 506 | 507 | label = "{} ({}%)".format(v[1], round(v[1]*100/data.total_diagnosticados, 2)) 508 | 509 | ax.annotate(label, 510 | (v[1],i), 511 | textcoords='offset points', 512 | xytext=(2,-3), 513 | ha='left') 514 | 515 | ax.barh(provs, provs_values, color=red) 516 | 517 | ax.set_title('Casos detectados por provincias',fontsize = 20) 518 | 519 | FigureCanvasAgg(fig).print_png('provincias.png') 520 | 521 | apiurl = config.SERVER_URI + '/provincias' 522 | watermark_text('provincias.png', 'provincias.png', apiurl, (0,0)) 523 | 524 | return send_file( 525 | 'provincias.png' 526 | ) 527 | 528 | @app.route('/municipios', methods=['GET']) 529 | def municipio(): 530 | datamodel.updater(data) # Call to update 531 | 532 | fig = Figure(figsize=(15, 6)) 533 | 534 | ax = fig.add_subplot(1, 1, 1) 535 | 536 | muns = [] 537 | muns_values = [] 538 | 539 | for i, v in enumerate(data.municipios_top10): 540 | if v[0] != None: 541 | muns.append(str(v[0])) 542 | else: 543 | muns.append('Desconocido') 544 | 545 | muns_values.append(v[1]) 546 | 547 | label = "{} ({}%)".format(v[1], round(v[1]*100/data.total_diagnosticados, 2)) 548 | 549 | ax.annotate(label, 550 | (v[1],i), 551 | textcoords='offset points', 552 | xytext=(2,-3), 553 | ha='left') 554 | 555 | ax.barh(muns, muns_values, color=red) 556 | 557 | ax.set_title('Casos detectados por municipios (Top 10)',fontsize = 20) 558 | 559 | FigureCanvasAgg(fig).print_png('municipios.png') 560 | 561 | apiurl = config.SERVER_URI + '/municipios' 562 | watermark_text('municipios.png', 'municipios.png', apiurl, (0,0)) 563 | 564 | return send_file( 565 | 'municipios.png' 566 | ) 567 | 568 | @app.route('/provincias_text', methods=['GET']) 569 | def provincia_text(): 570 | datamodel.updater(data) # Call to update 571 | 572 | return jsonify({ 573 | 'provincias': data.locations, 574 | }) 575 | 576 | @app.route('/municipios_text', methods=['GET']) 577 | def municipio_text(): 578 | datamodel.updater(data) # Call to update 579 | 580 | return jsonify({ 581 | 'municipios': data.mlocations, 582 | }) 583 | 584 | import config 585 | import requests 586 | 587 | @app.route('/reload', methods=['POST']) 588 | def reload(): 589 | dat = request.get_json() 590 | 591 | if dat['token'] != config.TOKEN: 592 | return jsonify({ 593 | 'message': 'updated data' 594 | }) 595 | 596 | datamodel.updater(data) 597 | 598 | token = {'token': config.TOKEN} 599 | requests.post(config.BOT_URI, json=token) 600 | 601 | return jsonify({ 602 | 'message': 'Updated Data' 603 | }) 604 | 605 | if __name__ == '__main__': 606 | app.run(host='0.0.0.0',port=9990) 607 | -------------------------------------------------------------------------------- /config.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | import os 4 | 5 | MONGO_URI = os.environ.get('MONGO_URI') 6 | BOT_URI = os.environ.get('BOT_URI') 7 | TOKEN = os.environ.get('STOKEN') 8 | SERVER_URI = os.environ.get('SERVER_URI') 9 | -------------------------------------------------------------------------------- /cubadata.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/luiscib3r/covid19cuba_api/2eec995f0bc05b41ec68109bc713c5c237463807/cubadata.jpg -------------------------------------------------------------------------------- /datamodel.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | import mdb 4 | 5 | from collections import defaultdict 6 | import config 7 | 8 | class DataModel: 9 | def update(self, data): 10 | self.__dict__ = data 11 | 12 | ### START UPDATE FUNCTION 13 | 14 | def updater(datamodel: DataModel): 15 | info = {} 16 | 17 | # Getting DATA 18 | data = mdb.getdata() 19 | 20 | # Cantidad diagnosticados por dia 21 | diagnosticados = [] 22 | 23 | for k in range(1, len(data['casos']['dias'].keys())+1): 24 | try: 25 | diagnosticados.append(len(data['casos']['dias'][str(k)]['diagnosticados'])) 26 | except: 27 | diagnosticados.append(0) 28 | 29 | info['diagnosticados'] = diagnosticados 30 | 31 | # Diagnosticados acumulados 32 | diagnosticados_acc = [] 33 | 34 | for i, _ in enumerate(diagnosticados): 35 | diagnosticados_acc.append(sum(diagnosticados[:i+1])) 36 | 37 | info['diagnosticados_acc'] = diagnosticados_acc 38 | 39 | # Cantidad recuperados por dia 40 | recuperados = [] 41 | 42 | for k in range(1, len(data['casos']['dias'].keys())+1): 43 | try: 44 | recuperados.append(data['casos']['dias'][str(k)]['recuperados_numero']) 45 | except: 46 | recuperados.append(0) 47 | 48 | info['recuperados'] = recuperados 49 | 50 | recuperados_acc = [] 51 | 52 | for i, _ in enumerate(recuperados): 53 | recuperados_acc.append(sum(recuperados[:i+1])) 54 | 55 | info['recuperados_acc'] = recuperados_acc 56 | 57 | # Cantidad evacuados por dia 58 | evacuados = [] 59 | 60 | for k in range(1, len(data['casos']['dias'].keys())+1): 61 | try: 62 | evacuados.append(data['casos']['dias'][str(k)]['evacuados_numero']) 63 | except: 64 | evacuados.append(0) 65 | 66 | info['evacuados'] = evacuados 67 | 68 | # Muertes 69 | muertes = [] 70 | 71 | for k in range(1, len(data['casos']['dias'].keys())+1): 72 | try: 73 | muertes.append(data['casos']['dias'][str(k)]['muertes_numero']) 74 | except: 75 | muertes.append(0) 76 | 77 | info['muertes'] = muertes 78 | 79 | # Fallecidos acumulados 80 | muertes_acc = [] 81 | 82 | for i, _ in enumerate(muertes): 83 | muertes_acc.append(sum(muertes[:i+1])) 84 | 85 | info['muertes_acc'] = muertes_acc 86 | 87 | # activos 88 | 89 | activos_acc = [] 90 | 91 | for i, _ in enumerate(diagnosticados): 92 | activos_acc.append(sum(diagnosticados[:i+1]) - (sum(recuperados[:i+1]) + sum(evacuados[:i+1]) + sum(muertes[:i+1]))) 93 | 94 | info['activos_acc'] = activos_acc 95 | 96 | # Total diagnosticados 97 | total_diagnosticados = sum(diagnosticados) 98 | info['total_diagnosticados'] = total_diagnosticados 99 | 100 | # Total recuperados 101 | total_recuperados = sum(recuperados) 102 | info['total_recuperados'] = total_recuperados 103 | 104 | # Total evacuados 105 | total_evacuados = sum(evacuados) 106 | info['total_evacuados'] = total_evacuados 107 | 108 | # Total muertes 109 | total_muertes = sum(muertes) 110 | info['total_muertes'] = total_muertes 111 | 112 | # Total activos 113 | total_activos = total_diagnosticados - (total_recuperados + total_evacuados + total_muertes) 114 | info['total_activos'] = total_activos 115 | 116 | # Fecha 117 | last_day = [k for k in data['casos']['dias'].keys()][-1] 118 | fecha = data['casos']['dias'][last_day]['fecha'] 119 | info['fecha'] = fecha 120 | 121 | # Ingresados 122 | total_ingresados = data['casos']['dias'][last_day]['sujetos_riesgo'] 123 | info['total_ingresados'] = total_ingresados 124 | 125 | # Casos por sexo 126 | sex_labels = 'Mujeres', 'Hombres', 'No reportado' 127 | hombres = 0 128 | mujeres = 0 129 | non_sex = 0 130 | 131 | for k in range(1, len(data['casos']['dias'].keys())+1): 132 | try: 133 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 134 | if caso['sexo'] == 'hombre': 135 | hombres += 1 136 | elif caso['sexo'] == 'mujer': 137 | mujeres += 1 138 | else: 139 | non_sex += 1 140 | except: 141 | pass 142 | 143 | info['sex_labels'] = sex_labels 144 | info['hombres'] = hombres 145 | info['mujeres'] = mujeres 146 | info['non_sex'] = non_sex 147 | 148 | # Modos de contagio 149 | modos = defaultdict(int) 150 | 151 | for k in range(1, len(data['casos']['dias'].keys())+1): 152 | try: 153 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 154 | mod = str(caso['contagio']).title() 155 | 156 | if mod != 'None': 157 | modos[mod] += 1 158 | else: 159 | modos['Desconocido'] += 1 160 | except: 161 | pass 162 | 163 | modos_labels = [str(k) for k in modos.keys()] 164 | modos_values = [v for v in modos.values()] 165 | 166 | info['modos_labels'] = modos_labels 167 | info['modos_values'] = modos_values 168 | 169 | # Casos extranjeros 170 | paises = defaultdict(int) 171 | 172 | for k in range(1, len(data['casos']['dias'].keys())+1): 173 | try: 174 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 175 | if caso['pais'] != 'cu': 176 | paises[caso['pais']] += 1 177 | except: 178 | pass 179 | 180 | info['paises'] = paises 181 | 182 | # Casos por nacionalidad 183 | cubanos = 0 184 | extranjeros = 0 185 | 186 | for k in range(1, len(data['casos']['dias'].keys())+1): 187 | try: 188 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 189 | if caso['pais'] == 'cu': 190 | cubanos += 1 191 | else: 192 | extranjeros += 1 193 | except: 194 | pass 195 | 196 | info['cubanos'] = cubanos 197 | info['extranjeros'] = extranjeros 198 | 199 | # Distribución por grupos etarios 200 | edades = {'0-4': 0, '5-9': 0, '10-18': 0, '19-40': 0, '41-60': 0, '61-80': 0, '+81': 0, 'Desconocido': 0} 201 | 202 | for k in range(1, len(data['casos']['dias'].keys())+1): 203 | try: 204 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 205 | try: 206 | edad = int(caso['edad']) 207 | except TypeError: 208 | edades['Desconocido'] += 1 209 | continue 210 | 211 | if edad <= 4 : 212 | edades['0-4'] += 1 213 | elif edad >= 5 and edad <= 9: 214 | edades['5-9'] += 1 215 | elif edad >= 10 and edad <= 18: 216 | edades['10-18'] += 1 217 | elif edad >= 19 and edad <= 40: 218 | edades['19-40'] += 1 219 | elif edad >= 41 and edad <= 60: 220 | edades['41-60'] += 1 221 | elif edad >= 61 and edad <= 80: 222 | edades['61-80'] += 1 223 | else: 224 | edades['+81'] += 1 225 | except: 226 | pass 227 | 228 | info['edades'] = edades 229 | 230 | # Test realizados y acumulados 231 | cant_tests = [] 232 | 233 | for k in range(12, len(data['casos']['dias'].keys())+1): 234 | cant_tests.append(data['casos']['dias'][str(k)]['tests_total']) 235 | 236 | info['cant_tests'] = cant_tests 237 | 238 | prop_test_vs_detected = [] 239 | detected_acc = [] 240 | 241 | for i, c in enumerate(cant_tests): 242 | detected_acc.append(sum(diagnosticados[:11+i])) 243 | prop_test_vs_detected.append(round(detected_acc[-1] / c, 2)*100) 244 | 245 | info['prop_test_vs_detected'] = prop_test_vs_detected 246 | info['detected_acc'] = detected_acc 247 | 248 | # Casos detectados por provincias 249 | locations = defaultdict(int) 250 | 251 | for k in range(1, len(data['casos']['dias'].keys())+1): 252 | try: 253 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 254 | locations[caso['provincia_detección']] += 1 255 | except: 256 | pass 257 | 258 | locations = sorted(dict(locations).items(), key=lambda kv: kv[1]) 259 | 260 | info['locations'] = locations 261 | 262 | # Casos detectados por municipios 263 | mlocations = defaultdict(int) 264 | 265 | for k in range(1, len(data['casos']['dias'].keys())+1): 266 | try: 267 | for caso in data['casos']['dias'][str(k)]['diagnosticados']: 268 | mun = caso['municipio_detección'] 269 | prov = caso['provincia_detección'] 270 | 271 | mkey = mun + '\n' + '('+prov+')' 272 | 273 | mlocations[mkey] += 1 274 | except: 275 | pass 276 | 277 | mlocations = sorted(dict(mlocations).items(), key=lambda kv: kv[1]) 278 | 279 | municipios_top10 = mlocations[-10:] 280 | 281 | info['mlocations'] = mlocations 282 | info['municipios_top10'] = municipios_top10 283 | 284 | # cantidad de días 285 | info['cant_days'] = len(data['casos']['dias'].keys()) 286 | 287 | datamodel.update(info) 288 | 289 | ### END UPDATE FUNCTION 290 | -------------------------------------------------------------------------------- /font.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/luiscib3r/covid19cuba_api/2eec995f0bc05b41ec68109bc713c5c237463807/font.ttf -------------------------------------------------------------------------------- /imagemark.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | from PIL import Image 4 | from PIL import ImageDraw 5 | from PIL import ImageFont 6 | 7 | def watermark_text(input_image_path, 8 | output_image_path, 9 | text, pos): 10 | photo = Image.open(input_image_path) 11 | logo = Image.open('cubadata.jpg') 12 | W, H = photo.size 13 | 14 | wl, hl = logo.size 15 | 16 | photo.paste(logo, (5,H-hl-7)) 17 | 18 | # make the image editable 19 | drawing = ImageDraw.Draw(photo) 20 | black = (112, 128, 144) 21 | font = ImageFont.truetype("./font.ttf", 15) 22 | w, h = drawing.textsize(text) 23 | drawing.text((wl+10,H-h-12), text, fill=black, font=font) 24 | #photo.show() 25 | photo.save(output_image_path) 26 | -------------------------------------------------------------------------------- /mdb.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | import config 4 | 5 | from pymongo import MongoClient 6 | 7 | try: 8 | client = MongoClient(config.MONGO_URI) 9 | except: 10 | print("Failed to connect to server {}".format(config.MONGO_URI)) 11 | 12 | db = client.tbot 13 | 14 | import json 15 | 16 | def savedata(datahash, data): 17 | hashdoc = {'datahash': datahash} 18 | datadoc = {'data': data} 19 | 20 | lasthash = db.lasthash 21 | 22 | try: 23 | lastcode = [l for l in lasthash.find()][-1]['datahash'] 24 | except: 25 | lastdata = db.lastdata 26 | lastdata.drop() 27 | lastdata.insert(datadoc) 28 | lasthash.drop() 29 | lasthash.insert(hashdoc) 30 | 31 | return 32 | 33 | if datahash != lastcode: 34 | lastdata = db.lastdata 35 | lastdata.drop() 36 | lastdata.insert(datadoc) 37 | lasthash.drop() 38 | lasthash.insert(hashdoc) 39 | 40 | def getdata(): 41 | col = db.lastdata 42 | 43 | doc = [d for d in col.find()][-1] 44 | 45 | data = json.loads(doc['data'].decode('utf-8')) 46 | 47 | return data 48 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | gunicorn 2 | flask 3 | flask-cors 4 | matplotlib 5 | seaborn 6 | pymongo 7 | dnspython 8 | requests 9 | pillow -------------------------------------------------------------------------------- /restart.sh: -------------------------------------------------------------------------------- 1 | #!/bin/sh 2 | 3 | # Set up the Heroku scheduler to run this command every hour. See example setup at https://goo.gl/nMCSH3 4 | # 5 | # Requires env vars to be set in Heroku with `heroku config:set`: 6 | # - HEROKU_APP_NAME: this is just the app name in Heroku, i.e. `heroku apps` will list all apps you have access to 7 | # - HEROKU_CLI_USER: Once Heroku CLI is authenticated (https://goo.gl/Qypr4x), check `cat .netrc` (or `_netrc` on Windows), 8 | # look for `login` under `machine api.heroku.com` 9 | # - HEROKU_CLI_TOKEN: As above, but use the `password` field 10 | # 11 | # It helps if this file has execute privileges `chmod +x restart.sh` 12 | # 13 | # Test this script works by running `heroku run "~/restart.sh"` 14 | # 15 | # Heroku API: Restart all Dynos, see https://devcenter.heroku.com/articles/platform-api-reference#dyno-restart-all 16 | curl -X DELETE "https://api.heroku.com/apps/${HEROKU_APP_NAME}/dynos" \ 17 | --user "${HEROKU_CLI_USER}:${HEROKU_CLI_TOKEN}" \ 18 | -H "Content-Type: application/json" \ 19 | -H "Accept: application/vnd.heroku+json; version=3" --------------------------------------------------------------------------------