Fixed TipoCategoria select and url importar in menu

.env.sample

@@ -1,3 +1,4 @@
+COMPOSE_PROFILES=
 MYSQL_HOST=
 MYSQL_ROOT_PASSWORD=
 MYSQL_DATABASE=

api/common/Controller/Base.php

@@ -24,4 +24,11 @@ class Base {
     $key = urlencode(base64_encode($signature));
     return $this->withJson($response, ['key' => $key]);
   }
+  public function info(Request $request, Response $response): Response {
+      ob_start();
+      phpinfo();
+      $data = ob_get_clean();
+      $response->getBody()->write($data);
+      return $response;
+  }
 }

api/common/Controller/Categorias.php

@@ -13,11 +13,14 @@ class Categorias {
 
   public function __invoke(Request $request, Response $response, Factory $factory, Service $service): Response {
     $categorias = $factory->find(Categoria::class)->many();
+    if ($categorias !== null) {
         array_walk($categorias, function(&$item) use ($service) {
             $arr = $item->toArray();
+            if ($item->cuentas()) {
                 $arr['cuentas'] = array_map(function($item) {
                     return $item->toArray();
                 }, $item->cuentas());
+            }
             $maps = ['activo', 'pasivo', 'ganancia', 'perdida'];
             foreach ($maps as $m) {
                 $p = $m . 's';
@@ -33,7 +36,6 @@ class Categorias {
             }
             $item = $arr;
         });
-    if ($categorias) {
         usort($categorias, function($a, $b) {
             return strcmp($a['nombre'], $b['nombre']);
         });

api/common/Controller/Cuentas.php

@@ -12,8 +12,13 @@ class Cuentas {
   use Json;
 
   public function __invoke(Request $request, Response $response, Factory $factory): Response {
-    $cuentas = $factory->find(Cuenta::class)->array();
+    $cuentas = $factory->find(Cuenta::class)->many();
     if ($cuentas) {
+        array_walk($cuentas, function (&$item) {
+           $arr = $item->toArray();
+           $arr['categoria'] = $item->categoria()->toArray();
+           $item = $arr;
+        });
       usort($cuentas, function($a, $b) {
           $t = strcmp($a['tipo']['descripcion'], $b['tipo']['descripcion']);
           if ($t != 0) {

api/common/Controller/Import.php

@@ -3,16 +3,44 @@ namespace Contabilidad\Common\Controller;
 
 use Psr\Http\Message\ServerRequestInterface as Request;
 use Psr\Http\Message\ResponseInterface as Response;
+use Psr\Container\ContainerInterface as Container;
 use ProVM\Common\Define\Controller\Json;
 use ProVM\Common\Factory\Model as Factory;
 use Contabilidad\Common\Service\DocumentHandler as Handler;
+use Contabilidad\Cuenta;
 
 class Import {
     use Json;
 
-    public function __invoke(Request $request, Response $response, Factory $factory): Response {
+    public function __invoke(Request $request, Response $response, Factory $factory, Container $container): Response {
         $post =$request->getParsedBody();
-      return $this->withJson($response, $post);
+        $cuenta = $factory->find(Cuenta::class)->one($post['cuenta']);
+        $file = $request->getUploadedFiles()['archivo'];
+        $valid_media = [
+            'text/csv' => 'csvs',
+            'application/pdf' => 'pdfs',
+            'application/vnd.ms-excel' => 'xlss',
+            'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' => 'xlss',
+            'application/json' => 'jsons'
+        ];
+        if ($file->getError() === 0 and in_array($file->getClientMediaType(), array_keys($valid_media))) {
+            $filenfo = new \SplFileInfo($file->getClientFilename());
+            $new_name = implode('.', [implode(' - ', [$cuenta->nombre, $cuenta->categoria()->nombre, $post['fecha']]), $filenfo->getExtension()]);
+            $to = implode(DIRECTORY_SEPARATOR, [$container->get('folders')->uploads, $valid_media[$file->getClientMediaType()], $new_name]);
+            $file->moveTo($to);
+            $status = file_exists($to);
+        }
+        $output = [
+            'input' => [
+                'name' => $file->getClientFilename(),
+                'type' => $file->getClientMediaType(),
+                'size' => $file->getSize(),
+                'error' => $file->getError()
+            ],
+            'new_name' => $new_name,
+            'uploaded' => $status
+        ];
+        return $this->withJson($response, $output);
     }
     public function uploads(Request $request, Response $response, Handler $handler): Response {
         $output = $handler->handle();

api/common/Controller/TiposCategorias.php

@@ -13,11 +13,15 @@ class TiposCategorias {
 
     public function __invoke(Request $request, Response $response, Factory $factory, Service $service): Response {
         $tipos = $factory->find(TipoCategoria::class)->many();
+        if ($tipos !== null) {
             array_walk($tipos, function(&$item) use ($service) {
                 $arr = $item->toArray();
+                $arr['categorias'] = $item->categorias();
+                if ($arr['categorias'] !== null) {
                     $arr['categorias'] = array_map(function($item) {
                         return $item->toArray();
                     }, $item->categorias());
+                }
                 $arr['saldo'] = abs($item->saldo($service));
                 $maps = ['activo', 'pasivo', 'ganancia', 'perdida'];
                 foreach ($maps as $m) {
@@ -34,7 +38,6 @@ class TiposCategorias {
                 }
                 $item = $arr;
             });
-        if ($tipos) {
             usort($tipos, function($a, $b) {
                 return strcmp($a['descripcion'], $b['descripcion']);
             });

api/db/migrations/20211029150754_tipo_cuenta.php

@@ -20,7 +20,7 @@ final class TipoCuenta extends AbstractMigration
     {
         $this->table('tipos_cuenta')
             ->addColumn('descripcion', 'string')
-            ->addColumn('color', 'string', ['length' => 6])
+            ->addColumn('color', 'string', ['length' => 6, 'default' => 'ffffff'])
             ->create();
     }
 }

api/nginx.conf

@@ -5,6 +5,8 @@ server {
   access_log /var/log/nginx/access.log;
   root /app/public;
 
+  client_max_body_size 50M;
+
   location / {
     try_files $uri $uri/ /index.php?$query_string;
   }

api/php.ini

@@ -1,2 +1,4 @@
 log_errors = true
 error_log = /var/log/php/error.log
+upload_max_filesize = 50M
+max_input_vars = 5000

api/resources/routes/base.php

@@ -3,4 +3,5 @@ use Contabilidad\Common\Controller\Base;
 
 $app->get('/key/generate[/]', [Base::class, 'generate_key']);
 $app->get('/balance[/]', [Contabilidad\Common\Controller\TiposCategorias::class, 'balance']);
+$app->get('/info', [Base::class, 'info']);
 $app->get('/', Base::class);

api/src/Categoria.php

@@ -89,4 +89,10 @@ class Categoria extends Model {
     }
     return $this->saldo;
   }
+
+  public function toArray(): array {
+      $arr = parent::toArray();
+      $arr['tipo'] = $this->tipo()->toArray();
+      return $arr;
+  }
 }

api/src/TipoCategoria.php

@@ -23,7 +23,7 @@ class TipoCategoria extends Model {
 
     public function getCuentasOf($tipo) {
         return $this->factory->find(Cuenta::class)
-            ->select([['cuentas', '*']])
+            ->select('cuentas.*')
             ->join([
                 ['tipos_cuenta', 'tipos_cuenta.id', 'cuentas.tipo_id'],
                 ['categorias', 'categorias.id', 'cuentas.categoria_id']
@@ -37,7 +37,7 @@ class TipoCategoria extends Model {
   protected $saldo;
   public function saldo(Service $service = null) {
       if ($this->saldo === null) {
-          $this->saldo = array_reduce($this->categorias(), function($sum, $item) use ($service) {
+          $this->saldo = array_reduce($this->categorias() ?? [], function($sum, $item) use ($service) {
              return $sum + $item->saldo($service);
           });
       }

docker-compose.yml

@@ -50,6 +50,7 @@ services:
     image: php-ui
     env_file:
       - .api.env
+      - .env
     build:
       context: ui
     volumes:

python/Dockerfile

@@ -2,7 +2,7 @@ FROM python
 
 RUN apt-get update -y && apt-get install -y ghostscript python3-tk libgl-dev
 
-RUN pip install flask pyyaml pypdf4 gunicorn camelot-py[cv] pikepdf httpx
+RUN pip install flask pyyaml pypdf4 gunicorn camelot-py[cv] pikepdf
 
 WORKDIR /app
 
@@ -12,5 +12,4 @@ EXPOSE 5000
 
 WORKDIR /app/src
 
-CMD ["python", "app.py"]
+CMD ["gunicorn", "-b 0.0.0.0:5000", "app:app"]
-#CMD ["gunicorn", "-b 0.0.0.0:5000", "app:app"]

python/config/.passwords.yml

@@ -1,4 +1,3 @@
 passwords:
   - 0839
   - 159608395
-  - 15960839

python/src/ai/dictionary.py

@@ -1,285 +0,0 @@
-import json
-import os
-
-import numpy as np
-import sklearn
-import enlighten
-from sklearn.preprocessing import LabelEncoder
-
-import src.contabilidad.pdf as pdf
-import src.contabilidad.text_handler as th
-from src.ai.models import Phrase, phrase_factory, Word, word_factory
-from src.contabilidad.log import LOG_LEVEL
-
-
-class Dictionary:
-    def __init__(self, filename, logger):
-        self.filename = filename
-        self._logger = logger
-        self.__processed = []
-        self.__phrases = None
-        self.__words = None
-        self.load()
-
-    def load(self):
-        if not os.path.isfile(self.filename):
-            return
-        with open(self.filename, 'r') as file:
-            data = json.load(file)
-            if 'words' in data.keys():
-                self.__words = []
-                [self.__words.append(word_factory(w)) for w in data['words']]
-            if 'phrases' in data.keys():
-                self.__phrases = []
-                [self.__phrases.append(phrase_factory(ph)) for ph in data['phrases']]
-            if 'processed' in data.keys():
-                self.__processed = []
-                self.__processed = data['processed']
-
-    def save(self):
-        self.sort_words()
-        self.sort_phrases()
-        with open(self.filename, 'w') as file:
-            json.dump(self.to_json(), file, indent=2)
-
-    def to_data(self):
-        encoder = LabelEncoder()
-        data = encoder.fit_transform([w.get_word() for w in self.get_words()])
-        [self.__words[i].set_fit(f) for i, f in enumerate(data)]
-        print(data)
-        # return [ph.to_data() for ph in self.get_phrases()]
-
-    def to_json(self):
-        output = {
-            'processed': [],
-            'words': [],
-            'phrases': []
-        }
-        if self.__processed is not None and len(self.__processed) > 0:
-            output['processed'] = self.__processed
-        if self.__words is not None and len(self.__words) > 0:
-            output['words'] = [w.to_json() for w in self.__words]
-        if self.__phrases is not None and len(self.__phrases) > 0:
-            output['phrases'] = [p.to_json() for p in self.__phrases]
-        return output
-
-    def find_phrase(self, phrase: Phrase = None, phrase_dict: dict = None, phrase_list: list = None):
-        if not self.__phrases:
-            return -1
-        if phrase is not None:
-            phrase_list = [w.get_word() for w in phrase.get_words()]
-        elif phrase_dict is not None:
-            phrase_list = phrase_dict['words']
-        elif phrase_list is not None:
-            pass
-        else:
-            return -1
-        return find_phrase(self.__phrases, phrase_list)
-
-    def add_phrase(self, phrase: Phrase = None, phrase_dict: dict = None, phrase_list: list = None):
-        if self.__phrases is None:
-            self.__phrases = []
-        if phrase is not None:
-            pass
-        elif phrase_dict is not None:
-            phrase = phrase_factory(phrase_dict)
-        elif phrase_list is not None:
-            phrase = phrase_factory({'words': phrase_list})
-        else:
-            return self
-        i = self.find_phrase(phrase)
-        if i > -1:
-            self.__phrases[i].add_freq()
-            return self
-        self.__phrases.append(phrase)
-        return self
-
-    def add_phrases(self, phrase_list: list):
-        if self.__phrases is None:
-            self.__phrases = []
-        phs = [sorted(w.get_word() for w in p) for p in self.__phrases]
-        with enlighten.get_manager() as manager:
-            with manager.counter(total=len(phrase_list), desc='Phrases', unit='phrases', color='green') as bar1:
-                for i, phrase in enumerate(phrase_list):
-                    # print(f'Adding phrase {i}.')
-                    p2 = sorted([w.get_word() for w in phrase])
-                    if p2 in phs:
-                        k = phs.index(p2)
-                        self.__phrases[k].add_freq()
-                        continue
-                    ph = phrase_factory({'words': phrase})
-                    self.__phrases.append(ph)
-                    phs.append(p2)
-                    bar1.update()
-
-    def get_phrases(self):
-        return self.__phrases
-
-    def sort_phrases(self):
-        if self.__phrases is None:
-            return
-        try:
-            def sort_phrase(p):
-                if p is None:
-                    return 0
-                if isinstance(p, Phrase):
-                    return p.get_freq(), p.get_type().get_desc(), len(p.get_words())
-                return p['frequency'], p['type']['description'], len(p['words'])
-            self.__phrases = sorted(self.__phrases,
-                                    key=sort_phrase)
-        except Exception as e:
-            self._logger.log(repr(self.__phrases), LOG_LEVEL.ERROR)
-            self._logger.log(e)
-        return self
-
-    def sort_words(self):
-        if self.__words is None:
-            return
-        try:
-            def sort_word(w):
-                if w is None:
-                    return 0
-                if isinstance(w, Word):
-                    return w.get_freq(), w.get_type().get_desc(), w.get_word()
-                return w['frequency'], w['type']['description'], w['word']
-            self.__words = sorted(self.__words, key=sort_word, reverse=True)
-        except Exception as e:
-            self._logger.log(repr(self.__words))
-            self._logger.log(e)
-        return self
-
-    def find_word(self, word: Word = None, word_dict: dict = None, word_str: str = None):
-        if not self.__words:
-            return -1
-        if word is not None:
-            word_str = word.get_word()
-        elif word_dict is not None:
-            word_str = word_dict['word']
-        elif word_str is not None:
-            pass
-        else:
-            return -1
-
-        return find_word(self.__words, word_str)
-
-    def add_word(self, word: Word = None, word_dict: dict = None, word_str: str = None):
-        if self.__words is None:
-            self.__words = []
-        if word is not None:
-            pass
-        elif word_dict is not None:
-            word = word_factory(word_dict)
-        elif word_str is not None:
-            word = word_factory({'word': word_str})
-        else:
-            return self
-        i = self.find_word(word)
-        if i > -1:
-            self.__words[i].add_freq()
-            return self
-        self.__words.append(word)
-        return self
-
-    def add_words(self, words: list):
-        [self.add_word(word=w) for w in words if isinstance(w, Word)]
-        [self.add_word(word_dict=w) for w in words if isinstance(w, dict)]
-        [self.add_word(word_str=w) for w in words if isinstance(w, str)]
-        return self
-
-    def get_words(self):
-        return filter_unique_words(self.__words)
-
-    def match_words(self, word_list: list):
-        new_list = []
-        for w in word_list:
-            wi = self.find_word(word_str=w)
-            new_list.append(self.__words[wi])
-        return new_list
-
-    def append_to_phrase(self, seed: list = None, length: int = 1):
-        if seed is None:
-            return [self.__words[0]]
-        max_index = max(seed) + length
-        if max_index > len(self.__words):
-            if length == 1:
-                return False
-            return self.append_to_phrase(seed, length - 1)
-        return seed + self.__words[max_index]
-
-    def get_possible_phrases(self, word_list):
-        print('Adding words.')
-        self.add_words(word_list)
-
-        print('Creating phrases.')
-        with enlighten.get_manager() as manager:
-            with manager.counter(total=len(word_list)**2, desc='Phrases', unit='words', color='red') as bar1:
-                phrases = []
-                for length in range(1, len(word_list) + 1):
-                    bar2 = bar1.add_subcounter(color='green')
-                    for start in range(0, len(word_list)):
-                        phrase = build_phrase(word_list, start, start + length)
-                        phrase = self.match_words(phrase)
-                        phrases.append(phrase)
-                        start += length
-                        bar2.update()
-                    bar1.update()
-
-        print(f'Created {len(phrases)} phrases.')
-        phrases = sorted(phrases, key=lambda e: len(e))
-
-        print('Adding phrases.')
-        # Really slow (~115000 phrases in one pdf)
-        self.add_phrases(phrases)
-        return self.__phrases
-
-    def is_processed(self, filename: str):
-        return os.path.basename(filename) in self.__processed
-
-    def process(self, filename: str, password: str = None):
-        if self.is_processed(filename):
-            print('Already processed.')
-            return
-        t = filename.split('.')
-        temp = os.path.realpath(os.path.join(os.path.dirname(filename), t[0] + '-temp.pdf'))
-        print('Removing PDF encryption.')
-        pdf.remove_encryption(filename, password, temp)
-        print('Getting text')
-        obj = pdf.get_text(temp)
-        os.remove(temp)
-        print('Getting possible phrases.')
-        phrases = self.get_possible_phrases(th.split_words(obj))
-        self.__processed.append(os.path.basename(filename))
-        return phrases
-
-
-def build_phrase(word_list, start: int, end: int = None):
-    if end is None:
-        return word_list[start:]
-    return word_list[start:end]
-
-
-def filter_unique_words(words):
-    new_list = []
-    for w in words:
-        if w not in new_list:
-            new_list.append(w)
-    return new_list
-
-
-def validate_phrase(phrase):
-    return True
-
-
-def find_phrase(phrases: list, phrase: list):
-    phrase_list = [sorted([w.get_word() for w in p.get_words()]) for p in phrases]
-    sphrase = sorted(phrase)
-    if sphrase in phrase_list:
-        return phrase_list.index(sphrase)
-    return -1
-
-
-def find_word(words: list, word: str):
-    word_list = [w.get_word() for w in words]
-    if word in word_list:
-        return word_list.index(word)
-    return -1

python/src/ai/models.py

@@ -1,243 +0,0 @@
-import json
-
-
-class Type:
-    def __init__(self, _id, _description):
-        self.__id = _id
-        self.__description = _description
-
-    def get_id(self):
-        return self.__id
-
-    def get_desc(self):
-        return self.__description
-
-    def to_json(self):
-        return self.get_id()
-
-    def __repr__(self):
-        return json.dumps({
-            'id': self.get_id(),
-            'description': self.get_desc()
-        })
-
-
-def type_factory(_type: str, _id: int):
-    if _type == 'Word' or _type == 'WordType':
-        t = WordType()
-    elif _type == 'Phrase' or _type == 'PhraseType':
-        t = PhraseType()
-    else:
-        return None
-    t.load(_id)
-    return t
-
-
-class WordType(Type):
-    STRING = 0
-    NUMERIC = 1
-    CURRENCY = 2
-    DATE = 4
-
-    def __init__(self):
-        super().__init__(0, 'string')
-
-    def load(self, word_type: int):
-        if word_type == self.STRING:
-            self.__description = 'string'
-        elif word_type == self.NUMERIC:
-            self.__description = 'numeric'
-        elif word_type == self.CURRENCY:
-            self.__description = 'currency'
-        elif word_type == self.DATE:
-            self.__description = 'date'
-        return self
-
-
-class PhraseType(Type):
-    TEXT = 0
-    TITLE = 1
-    HEADER = 2
-    MOVEMENT = 4
-    INVALID = 99
-
-    def __init__(self):
-        super(PhraseType, self).__init__(0, 'text')
-
-    def load(self, phrase_type: int):
-        if phrase_type == self.TEXT:
-            self.__description = 'text'
-        elif phrase_type == self.TITLE:
-            self.__description = 'title'
-        elif phrase_type == self.HEADER:
-            self.__description = 'header'
-
-
-class Word:
-    def __init__(self):
-        self.__id = 0
-        self.__word = None
-        self.__type_id = 0
-        self.__type = None
-        self.__frequency = 1
-
-    def set_id(self, idx: int):
-        self.__id = idx
-        return self
-
-    def set_word(self, word: str):
-        self.__word = word
-        return self
-
-    def set_type(self, word_type):
-        if isinstance(word_type, WordType):
-            self.__type_id = word_type.get_id()
-            # self.__type = word_type
-        if isinstance(word_type, int):
-            self.__type_id = word_type
-            # self.__type = type_factory('Word', word_type)
-        return self
-
-    def add_freq(self, amount: int = 1):
-        self.__frequency += amount
-        return self
-
-    def get_id(self) -> int:
-        return self.__id
-
-    def get_word(self) -> str:
-        return self.__word
-
-    def get_type_id(self) -> int:
-        return self.__type_id
-
-    def get_type(self) -> WordType:
-        if self.__type is None:
-            self.__type = type_factory('Word', self.__type_id)
-        return self.__type
-
-    def get_freq(self) -> int:
-        return self.__frequency
-
-    def to_json(self) -> dict:
-        output = {
-            'id': self.get_id(),
-            'word': self.get_word(),
-            'type': self.get_type_id(),
-            'freq': self.get_freq()
-        }
-        return output
-
-    def __repr__(self):
-        return json.dumps(self.to_json())
-
-
-def word_factory(word: dict) -> Word:
-    w = Word()
-    w.set_id(word['id'])
-    w.set_word(word['word'])
-    if 'type' in word:
-        w.set_type(word['type'])
-    if 'freq' in word:
-        w.add_freq(word['freq'] - 1)
-    return w
-
-
-class Phrase:
-    def __init__(self):
-        self.__id = 0
-        self.__words = None
-        self.__type_id = 0
-        self.__type = None
-        self.__frequency = 1
-
-    def set_id(self, idx: int):
-        self.__id = idx
-        return self
-
-    def add_word(self, word):
-        if isinstance(word, Word):
-            self.__words.append(word.get_id())
-        if isinstance(word, dict):
-            if 'id' in word:
-                self.__words.append(word['id'])
-        if isinstance(word, int):
-            self.__words.append(word)
-        return self
-
-    def set_words(self, words: list):
-        if self.__words is None:
-            self.__words = []
-        for w in words:
-            if isinstance(w, Word):
-                self.add_word(w)
-            if isinstance(w, dict):
-                self.add_word(w)
-            if isinstance(w, int):
-                self.add_word(w)
-        return self
-
-    def set_type(self, phrase_type):
-        if isinstance(phrase_type, PhraseType):
-            self.__type_id = phrase_type.get_id()
-            # self.__type = phrase_type
-        if isinstance(phrase_type, int):
-            self.__type_id = phrase_type
-            # self.__type = type_factory('Phrase', phrase_type)
-        return self
-
-    def add_freq(self, amount: int = 1):
-        self.__frequency += amount
-        return self
-
-    def get_id(self) -> int:
-        return self.__id
-
-    def get_words(self) -> list:
-        return self.__words
-
-    def get_type_id(self) -> int:
-        return self.__type_id
-
-    def get_type(self) -> PhraseType:
-        if self.__type is None:
-            self.__type = type_factory('Phrase', self.__type_id)
-        return self.__type
-
-    def get_freq(self) -> int:
-        return self.__frequency
-
-    def match(self, word_list: list):
-        if len(word_list) != len(self.__words):
-            return False
-        new_words = sorted(self.__words)
-        new_list = sorted(word_list)
-        if new_words == new_list:
-            return True
-        return False
-
-    def to_json(self):
-        output = {
-            'id': self.get_id(),
-            'words': self.get_words(),
-            'type': self.get_type_id(),
-            'freq': self.get_freq()
-        }
-        return output
-
-    def __repr__(self):
-        return json.dumps(self.to_json())
-
-    def __len__(self):
-        return len(self.get_words())
-
-
-def phrase_factory(phrase: dict) -> Phrase:
-    ph = Phrase()
-    ph.set_id(phrase['id'])
-    ph.set_words(phrase['words'])
-    if 'type' in phrase:
-        ph.set_type(phrase['type'])
-    if 'freq' in phrase:
-        ph.add_freq(phrase['freq'] - 1)
-    return ph

python/src/ai/network.py

@@ -1,126 +0,0 @@
-import json
-import os
-import time
-import timeit
-
-import tensorflow as tf
-import sklearn
-import numpy as np
-from sklearn.preprocessing import LabelEncoder
-
-import src.contabilidad.pdf as pdf
-import src.contabilidad.text_handler as th
-
-
-class Layer:
-    def __init__(self):
-        self.__weights = None
-        self.__bias = None
-
-    def set_size(self, inputs: int, size: int):
-        self.__weights = [[0 for j in range(0, inputs)] for i in range(0, size)]
-        self.__bias = [0 for i in range(0, size)]
-
-    def add_weight(self, vector: list, idx: int = None):
-        if idx is None:
-            self.__weights.append(vector)
-            return self
-        self.__weights = self.__weights[:idx] + [vector] + self.__weights[idx:]
-        return self
-
-    def set_weight(self, value: float, weight_index: int, input_index: int):
-        self.__weights[weight_index][input_index] = value
-
-    def set_bias(self, value: list):
-        self.__bias = value
-
-    def train(self, input_values: list, output_values: list):
-        output = self.get_output(input_values)
-        errors = []
-        for i, v in enumerate(output):
-            error = (output_values[i] - v) / output_values[i]
-            new_value = v * error
-
-    def to_json(self):
-        return {
-            'bias': self.__bias,
-            'weights': self.__weights
-        }
-
-    def get_output(self, vector: list):
-        output = []
-        for i, weight in enumerate(self.__weights):
-            val = 0
-            for j, v in enumerate(weight):
-                val += v * vector[j]
-            output[i] = val + self.__bias[i]
-        return output
-
-
-def layer_factory(layer_dict: dict):
-    layer = Layer()
-    layer.set_bias(layer_dict['bias'])
-    [layer.add_weight(w) for w in layer_dict['weights']]
-    return layer
-
-
-class Network:
-    def __init__(self, filename: str):
-        self._filename = filename
-        self.__layers = None
-
-    def load(self):
-        with open(self._filename) as f:
-            data = json.load(f)
-            if 'layers' in data.keys():
-                self.add_layers(data['layers'])
-
-    def add_layers(self, layers: list):
-        for lr in layers:
-            layer = layer_factory(lr)
-            self.__layers.append(layer)
-
-
-class AI:
-    def __init__(self, dictionary_filename, logger):
-        self.__dict = None
-        self.__network = None
-        self.__sources = None
-        self._phrases = None
-        self.filename = ''
-
-    def add_source(self, text):
-        if self.__sources is None:
-            self.__sources = []
-        self.__sources.append(text)
-        return self
-
-    def set_filename(self, filename: str):
-        self.filename = filename
-        return self
-
-    def process_sources(self):
-        for source in self.__sources:
-            self.process(**source)
-
-    def process(self, filename, password):
-        encoder = LabelEncoder()
-        t = filename.split('.')
-        temp = os.path.realpath(os.path.join(os.path.dirname(filename), t[0] + '-temp.pdf'))
-        pdf.remove_encryption(filename, password, temp)
-        obj = pdf.get_text(temp)
-        os.remove(temp)
-        word_list = th.split_words(obj)
-        fits = encoder.fit_transform(word_list)
-        phrases = []
-        for length in range(1, len(word_list) + 1):
-            for start in range(0, len(word_list)):
-                phrase = word_list[start:(start + length)]
-                phrase = np.append(np.array([fits[word_list.index(w)] for w in phrase]),
-                                   np.zeros([len(word_list) - len(phrase)]))
-                phrases.append(phrase)
-        phrases = np.array(phrases)
-        self._phrases = phrases
-
-    def active_train(self):
-        pass

python/src/app.py

@@ -1,40 +1,22 @@
+import io
 import json
 import os
 import sys
 
-import httpx
+from flask import Flask, request
-from flask import Flask, request, jsonify
 
 import contabilidad.pdf as pdf
 import contabilidad.passwords as passwords
+import contabilidad.log as log
 import contabilidad.text_handler as th
-from contabilidad.log import Log
 
 
 app = Flask(__name__)
-log = Log('/var/log/python/contabilidad.log')
+log.logging['filename'] = '/var/log/python/contabilidad.log'
-api_key = os.environ.get('PYTHON_KEY')
-
-
-def validate_key(request_obj):
-    if 'Authorization' in request_obj.headers:
-        auth = request_obj.headers.get('Authorization')
-        if isinstance(auth, list):
-            auth = auth[0]
-        if 'Bearer' in auth:
-            auth = auth.split(' ')[1]
-        return auth == api_key
-    if 'API_KEY' in request_obj.values:
-        return request_obj.values.get('API_KEY') == api_key
-    if 'api_key' in request_obj.values:
-        return request_obj.values.get('api_key') == api_key
-    return False
 
 
 @app.route('/pdf/parse', methods=['POST'])
 def pdf_parse():
-    if not validate_key(request):
-        return jsonify({'message': 'Not Authorized'})
     data = request.get_json()
     if not isinstance(data['files'], list):
         data['files'] = [data['files']]
@@ -50,11 +32,6 @@ def pdf_parse():
                 continue
             pdf.remove_encryption(filename, p, temp)
         obj = pdf.get_data(temp)
-        try:
-            text = th.text_cleanup(pdf.get_text(temp))
-        except IndexError as ie:
-            print(ie, file=sys.stderr)
-            continue
         outputs = []
         for o in obj:
             out = json.loads(o.df.to_json(orient='records'))
@@ -71,35 +48,8 @@ def pdf_parse():
                     out[i] = line
             outputs.append(out)
         os.remove(temp)
-        output.append({'bank': text['bank'], 'filename': file['filename'], 'tables': outputs, 'text': text['text']})
+        output.append({'filename': file['filename'], 'text': outputs})
-    return jsonify(output)
+    return json.dumps(output)
-
-
-@app.route('/cambio/get', methods=['POST'])
-def cambios():
-    if not validate_key(request):
-        return jsonify({'message': 'Not Authorized'})
-    data = request.get_json()
-    valid = {
-        "CLF": "uf",
-        "IVP": "ivp",
-        "USD": "dolar",
-        "USDo": "dolar_intercambio",
-        "EUR": "euro",
-        "IPC": "ipc",
-        "UTM": "utm",
-        "IMACEC": "imacec",
-        "TPM": "tpm",
-        "CUP": "libra_cobre",
-        "TZD": "tasa_desempleo",
-        "BTC": "bitcoin"
-    }
-    base_url = 'https://mindicador.cl/api/'
-    url = f"{base_url}{valid[data['desde']]}/{'-'.join(list(reversed(data['fecha'].split('-'))))}"
-    res = httpx.get(url)
-    if res.status_code != httpx.codes.OK:
-        return jsonify({'error': 'Valor no encontrado.'})
-    return jsonify(res.json())
 
 
 if __name__ == '__main__':

python/src/contabilidad/log.py

@@ -1,65 +1,19 @@
-import os.path
 import time
-import traceback
+
+
+logging = {
+    'filename': '/var/log/python/error.log'
+}
 
 
 class LOG_LEVEL:
-    INFO = 0
+    INFO = 'INFO'
-    WARNING = 1
+    WARNING = 'WARNING'
-    DEBUG = 2
+    DEBUG = 'DEBUG'
-    ERROR = 4
+    ERROR = 'ERROR'
-
-    @staticmethod
-    def desc(level):
-        mapping = {
-            LOG_LEVEL.INFO: 'INFO',
-            LOG_LEVEL.WARNING: 'WARNING',
-            LOG_LEVEL.DEBUG: 'DEBUG',
-            LOG_LEVEL.ERROR: 'ERROR'
-        }
-        return mapping[level]
 
 
-class Logger:
+def log(message, level=LOG_LEVEL.INFO):
-    def __init__(self):
+    filename = logging['filename']
-        self._logs = []
+    with open(filename, 'a') as f:
-
+        f.write(time.strftime('[%Y-%m-%d %H:%M:%S] ') + ' - ' + level + ': ' + message)
-    def add_log(self, filename: str, min_level: int = LOG_LEVEL.INFO):
-        self._logs.append({'log': Log(filename), 'level': min_level})
-        self._logs.sort(key=lambda e: e['level'])
-        return self
-
-    def log(self, message, level: int = LOG_LEVEL.INFO):
-        for log in self._logs:
-            if log['level'] >= level:
-                log['log'].log(message, level)
-
-
-class Log:
-    MAX_SIZE = 10 * 1024 * 1024
-
-    def __init__(self, filename: str = '/var/log/python/error.log'):
-        self._filename = filename
-
-    def log(self, message, level: int = LOG_LEVEL.INFO):
-        if isinstance(message, Exception):
-            message = traceback.format_exc()
-            if level < LOG_LEVEL.ERROR:
-                level = LOG_LEVEL.ERROR
-        self.rotate_file()
-        with open(self._filename, 'a') as f:
-            f.write(time.strftime('[%Y-%m-%d %H:%M:%S] ') + ' - ' + LOG_LEVEL.desc(level=level) + ': ' + message + "\n")
-
-    def rotate_file(self):
-        if not os.path.isfile(self._filename):
-            return
-        file_size = os.path.getsize(self._filename)
-        if file_size > self.MAX_SIZE:
-            self.next_file()
-
-    def next_file(self):
-        name = self._filename.split('.')
-        n = 1
-        if name[-2].isnumeric():
-            n = int(name[-2]) + 1
-        self._filename = '.'.join([name[0], str(n), name[-1]])

python/src/contabilidad/text_handler.py

@@ -1,112 +1,48 @@
-def text_cleanup(text: str):
+def text_cleanup(text, filename: str = None):
     if isinstance(text, list):
-        text = "\n\n\n".join(text)
+        output = []
-    if 'bice' in text.lower():
+        for t in text:
-        return {'bank': 'BICE', 'text': bice(text)}
+            output.append(text_cleanup(t, filename=filename))
-    if 'scotiabank' in text.lower():
+        return output
-        return {'bank': 'Scotiabank', 'text': scotiabank(text)}
+    if filename is None:
-    if 'TARJETA' in text:
+        return text
-        return {'bank': 'Scotiabank', 'text': tarjeta(text)}
+    if 'bice' in filename.lower():
-    return {'bank': 'unknown', 'text': basic(text)}
+        return bice(text)
+    if 'scotiabank' in filename.lower():
+        return scotiabank(text)
+    return text
 
 
 def bice(text):
-    lines = [t2.strip() for t in text.split("\n\n\n")
+    lines = text.split("\n\n\n")
-             for t1 in t.split("\n\n") for t2 in t1.split("\n") if t2.strip() != '']
+    print(lines)
-    output = []
+    return text
-    output += extract_from_to(lines, 'NOMBRE DEL CLIENTE', end='LAS CONDES', line_length=3)
-    ti = [t for t in lines if 'MOVIMIENTOS DE LA CUENTA CORRIENTE' in t][0]
-    output += extract_from_to(lines, 'LAS CONDES', end=ti, line_length=3)
-    output += [ti]
-    ti = [i for i, t in enumerate(lines) if 'FECHA' in t]
-    output += extract_from_to(lines, ti[0], end=ti[1], line_length=4)
-    output += extract_from_to(lines, 'RESUMEN DEL PERIODO', end='SALDO INICIAL', line_length=1)
-    output += extract_from_to(lines, 'SALDO INICIAL', end='LINEA SOBREGIRO AUTORIZADA', line_length=4)
-    output += extract_from_to(lines, 'LINEA SOBREGIRO AUTORIZADA', end='OBSERVACIONES', line_length=3)
-    output += extract_from_to(lines, 'OBSERVACIONES', line_length=1)
-    return output
 
 
 def scotiabank(text):
-    words = split_words(text)
+    words = text.split("\n")
     output = [words[0]]
-    output += extract_from_to(words, 'No. CTA.', end='VENCIMIENTO LINEA DE CREDITO', line_length=3)
+    output = output + extract_from_to(words, 'No. CTA.', end='VENCIMIENTO LINEA DE CREDITO', line_length=3)
-    output += extract_from_to(words, 'VENCIMIENTO LINEA DE CREDITO',
+    output = output + extract_from_to(words, 'VENCIMIENTO LINEA DE CREDITO',
                                       end='NOMBRE EJECUTIVO: LILIAN AVILA MANRIQUEZ', line_length=2)
-    output += extract_from_to(words, 'NOMBRE EJECUTIVO: LILIAN AVILA MANRIQUEZ', end='SALDO ANTERIOR',
+    output = output + extract_from_to(words, 'NOMBRE EJECUTIVO: LILIAN AVILA MANRIQUEZ', end='SALDO ANTERIOR',
                                       line_length=1)
-    output += extract_from_to(words, 'SALDO ANTERIOR', end='FECHA', line_length=4)
+    output = output + extract_from_to(words, 'SALDO ANTERIOR', end='FECHA', line_length=4)
-    output += extract_data(words, 'FECHA', end='ACTUALICE SIEMPRE ANTECEDENTES LEGALES, ', line_length=6,
+    output = output + extract_data(words, 'FECHA', end='ACTUALICE SIEMPRE ANTECEDENTES LEGALES, ', line_length=6,
                                    merge_list=[['DOCTO', 'No.'], ['SALDO', 'DIARIO']])
-    output += extract_from_to(words, 'ACTUALICE SIEMPRE ANTECEDENTES LEGALES, ', 1)
+    [print(li) for li in output]
-    return output
+    return text
 
 
-def tarjeta(text):
+def extract_from_to(word_list, start, line_length, end: str = None, merge_list=None):
-    words = split_words(text)
-    output = ['ESTADO DE CUENTA NACIONAL DE TARJETA DE CRÉDITO']
-    i = [i for i, w in enumerate(words) if 'FECHA ESTADO DE CUENTA' in w][0] + 2
-    output += extract_from_to(words, 'NOMBRE DEL TITULAR', end=i, line_length=2)
-    output += ['I. INFORMACIóN GENERAL']
-    i = [i for i, w in enumerate(words) if 'CUPO TOTAL' in w][1]
-    output += extract_from_to(words, 'CUPO TOTAL', end=i, line_length=3)
-    output += extract_from_to(words, i, end='ROTATIVO', line_length=4)
-    output += extract_from_to(words, 'ROTATIVO', end='TASA INTERÉS VIGENTE', line_length=3)
-    output += extract_from_to(words, 'TASA INTERÉS VIGENTE',
-                              end='CAE se calcula sobre un supuesto de gasto mensual de UF 20 y pagadero en 12 cuotas.',
-                              line_length=4)
-    output += extract_from_to(words, 'DESDE', end='PERÍODO FACTURADO', line_length=2)
-    output += extract_from_to(words, 'PERÍODO FACTURADO', end='II.', line_length=3)
-    output += ['II. DETALLE']
-    output += extract_from_to(words, '1. PERÍODO ANTERIOR', end='SALDO ADEUDADO INICIO PERÍODO ANTERIOR', line_length=3)
-    i = words.index('2. PERÍODO ACTUAL')
-    output += extract_from_to(words, 'SALDO ADEUDADO INICIO PERÍODO ANTERIOR', end=i - 1, line_length=2,
-                              merge_list=[['MONTO FACTURADO A PAGAR (PERÍODO ANTERIOR)', '(A)']], merge_character=" ")
-    output += ['2. PERÍODO ACTUAL']
-    output += extract_from_to(words, 'LUGAR DE', end='1.TOTAL OPERACIONES', line_length=7,
-                              merge_list=[['OPERACIÓN', 'O COBRO'], ['TOTAL A', 'PAGAR'], ['VALOR CUOTA', 'MENSUAL']])
-    i = words.index('1.TOTAL OPERACIONES') + 3
-    output += extract_from_to(words, '1.TOTAL OPERACIONES', end=i, line_length=3)
-    output += extract_from_to(words, i, end='TOTAL PAGOS A LA CUENTA', line_length=7)
-    i = words.index('TOTAL PAGOS A LA CUENTA') + 2
-    output += extract_from_to(words, 'TOTAL PAGOS A LA CUENTA', end=i, line_length=2)
-    output += extract_from_to(words, i, end='TOTAL PAT A LA CUENTA', line_length=8)
-    i = words.index('TOTAL PAT A LA CUENTA') + 2
-    output += extract_from_to(words, 'TOTAL PAT A LA CUENTA', end=i, line_length=2)
-    output += extract_from_to(words, i, end=i + 3, line_length=2,
-                              merge_list=[
-                                  ['2.PRODUCTOS O SERVICIOS VOLUNTARIAMENTE CONTRATADOS SIN MOVIMIENTOS', '(C)']],
-                              merge_character=" ")
-    if '3.CARGOS, COMISIONES, IMPUESTOS Y ABONOS' in words:
-        i = words.index('3.CARGOS, COMISIONES, IMPUESTOS Y ABONOS') + 3
-        output += extract_from_to(words, '3.CARGOS, COMISIONES, IMPUESTOS Y ABONOS', end=i, line_length=3)
-    return output
-
-
-def basic(text):
-    return split_words(text)
-
-
-def split_words(text):
-    if isinstance(text, list):
-        text = "\n\n\n".join(text)
-    words = [t.strip() for t in text.split("\n") if t.strip() != '']
-    return words
-
-
-def extract_from_to(word_list, start, line_length, end=None, merge_list=None, merge_character="\n"):
-    if not isinstance(start, int):
-        start = word_list.index(start)
     if end is not None:
-        if not isinstance(end, int):
+        return extract_by_line(word_list[word_list.index(start):word_list.index(end)], line_length, merge_list)
-            end = word_list.index(end)
+    return extract_by_line(word_list[word_list.index(start):], line_length, merge_list)
-        return extract_by_line(word_list[start:end], line_length, merge_list, merge_character)
-    return extract_by_line(word_list[start:], line_length, merge_list, merge_character)
 
 
-def extract_by_line(word_list, line_length, merge_list=None, merge_character="\n"):
+def extract_by_line(word_list, line_length, merge_list=None):
     if merge_list is not None:
-        word_list = merge_words(word_list, merge_list, merge_character)
+        word_list = merge_words(word_list, merge_list)
     output = []
     line = []
     for k, w in enumerate(word_list):
@@ -118,39 +54,22 @@ def extract_by_line(word_list, line_length, merge_list=None, merge_character="\n
     return output
 
 
-def merge_words(word_list, merge_list, merge_character):
+def merge_words(word_list, merge_list):
     for m in merge_list:
-        ixs = find_words(word_list, m)
+        i = word_list.index(m[0])
-        if ixs is None:
+        word_list = word_list[:i] + ["\n".join(m)] + word_list[i+len(m):]
-            continue
-        for i in ixs:
-            word_list = word_list[:i] + [merge_character.join(m)] + word_list[i + len(m):]
     return word_list
 
 
-def find_words(word_list, find_list):
+def extract_data(word_list, start, line_length, end=None, merge_list=None, date_sep='/'):
-    ixs = [i for i, w in enumerate(word_list) if find_list[0] == w]
-    output = []
-    for i in ixs:
-        mistake = False
-        for k, m in enumerate(find_list):
-            if m != word_list[i + k]:
-                mistake = True
-                break
-        if mistake:
-            continue
-        output.append(i)
-    return output
-
-
-def extract_data(word_list, start, line_length, end=None, merge_list=None, merge_character="\n", date_sep='/'):
     word_list = word_list[word_list.index(start):]
     if end is not None:
         word_list = word_list[:word_list.index(end)]
     if merge_list is not None:
-        word_list = merge_words(word_list, merge_list, merge_character)
+        word_list = merge_words(word_list, merge_list)
     output = []
     line = []
+    line_num = 0
     col = 0
     for k, w in enumerate(word_list):
         if col > 0 and col % line_length == 0:
@@ -168,5 +87,4 @@ def extract_data(word_list, start, line_length, end=None, merge_list=None, merge
             continue
         line.append(w)
         col += 1
-    output.append(line)
     return output

python/src/main.py

@@ -3,51 +3,22 @@ import os
 
 import contabilidad.pdf as pdf
 import contabilidad.text_handler as th
-from contabilidad.log import Logger, LOG_LEVEL
-import ai.dictionary as dictionary
-from ai.network import AI
-
-
-def parse_settings(args):
-    output = {'filename': args.filename}
-    if not os.path.isfile(output['filename']):
-        output['filename'] = os.path.realpath(os.path.join(os.path.dirname(__file__), '..', 'data', args.filename))
-    t = args.filename.split('.')
-    output['temp'] = os.path.realpath(os.path.join(os.path.dirname(output['filename']), t[0] + '-temp.pdf'))
-    output['dictionary'] = os.path.join(os.path.dirname(output['filename']), 'dictionary.json')
-    output['network'] = os.path.join(os.path.dirname(output['filename']), 'network.json')
-    output['log_file'] = args.log_file
-    if not os.path.isfile(output['log_file']):
-        output['log_file'] = os.path.join(os.path.dirname(os.path.dirname(output['filename'])), output['log_file'])
-    output['error_log_file'] = os.path.join(os.path.dirname(output['log_file']), 'error.log')
-    output['logger'] = Logger()
-    output['logger'].add_log(output['log_file']).add_log(output['error_log_file'], LOG_LEVEL.ERROR)
-    return output
 
 
 def main(args):
-    settings = parse_settings(args)
+    filename = os.path.realpath(os.path.join(os.path.dirname(__file__), '..', 'data', args.filename))
-
+    temp = os.path.realpath(os.path.join(os.path.dirname(__file__), '..', 'data', args.temp_filename))
-    print('Loading AI')
+    pdf.remove_encryption(filename, args.password, temp)
-    network = AI(settings['dictionary'], settings['logger'])
+    obj = pdf.get_data(temp)
-    network.set_filename(settings['network'])
+    obj = pdf.get_text(filename, args.password)
-    network.add_source({'filename': settings['filename'], 'password': args.password})
+    text = th.text_cleanup(obj, filename=str(args.filename))
-    network.process_sources()
+    os.remove(temp)
-    exit()
-
-    print('Loading dictionary.')
-    dictio = dictionary.Dictionary(settings['dictionary'], settings['logger'])
-    print('Getting possible phrases.')
-    dictio.process(settings['filename'], args.password)
-    dictio.to_data()
-    # print('Saving dictionary.')
-    # dictio.save()
 
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument('-f', '--filename', type=str)
     parser.add_argument('-p', '--password', type=str, default='')
-    parser.add_argument('-l', '--log_file', type=str, default=None)
+    parser.add_argument('-t', '--temp_filename', type=str)
     _args = parser.parse_args()
     main(_args)

ui/Dockerfile

@@ -1,3 +1,5 @@
 FROM php:8-fpm
 
+COPY --from=composer /usr/bin/composer /usr/bin/composer
+
 WORKDIR /app

ui/common/Controller/Importar.php

@@ -0,0 +1,12 @@
+<?php
+namespace Contabilidad\Common\Controller;
+
+use Psr\Http\Message\ServerRequestInterface as Request;
+use Psr\Http\Message\ResponseInterface as Response;
+use Slim\Views\Blade as View;
+
+class Importar {
+    public function __invoke(Request $request, Response $response, View $view): Response {
+        return $view->render($response, 'importar');
+    }
+}

ui/resources/routes/importar.php

@@ -0,0 +1,4 @@
+<?php
+use Contabilidad\Common\Controller\Importar;
+
+$app->get('/importar[/]', Importar::class);

ui/resources/views/importar.blade.php

@@ -0,0 +1,92 @@
+@extends('layout.base')
+
+@section('page_title')
+    Importar
+@endsection
+
+@section('page_content')
+    <h1>Importar</h1>
+    <form class="ui form" action="#" method="post" id="importar_form" enctype="multipart/form-data">
+        <div class="two wide field">
+            <label>Fecha</label>
+            <div class="ui date calendar">
+                <div class="ui icon input">
+                    <input type="text" name="fecha" />
+                    <i class="calendar outline icon"></i>
+                </div>
+            </div>
+        </div>
+        <div class="six wide field">
+            <label>Cuenta</label>
+            <select name="cuenta"></select>
+        </div>
+        <div class="inline field">
+            <input type="file" name="archivo" style="display: none;" />
+            <div class="ui labeled icon input" id="archivo_btn">
+                <div class="ui label">Archivo</div>
+                <input type="text" readonly="" />
+                <i class="search icon"></i>
+            </div>
+        </div>
+        <button class="ui button">Importar</button>
+    </form>
+@endsection
+
+@push('scripts')
+    <script type="text/javascript">
+        function getCuentas() {
+            sendGet(_urls.api + '/cuentas').then((data) => {
+                if (data.cuentas === null || data.cuentas.length === 0) {
+                    return
+                }
+                const select = $("select[name='cuenta']")
+                let values = []
+                $.each(data.cuentas, (i, el) => {
+                    const nombre = [el.nombre, el.categoria.nombre].join(' - ')
+                    values.push({
+                        name: nombre,
+                        value: el.id,
+                        text: nombre
+                    })
+                })
+                select.dropdown({values})
+            })
+        }
+        $(document).ready(() => {
+            getCuentas()
+            const today = new Date()
+            const start = new Date(today.getFullYear(), today.getMonth() - 1)
+            $('.ui.calendar').calendar({
+                type: 'month',
+                initialDate: start,
+                maxDate: start,
+                months: ['Enero', 'Febrero', 'Marzo', 'Abril', 'Mayo', 'Junio', 'Julio', 'Agosto', 'Septiembre', 'Octubre', 'Noviembre', 'Diciembre'],
+                monthsShort: ['Ene', 'Feb', 'Mar', 'Abr', 'May', 'Jun', 'Jul', 'Ago', 'Sep', 'Oct', 'Nov', 'Dic'],
+                formatter: {
+                    date: function(date, settings) {
+                        if (!date) return ''
+                        const year = date.getFullYear()
+                        const month = date.getMonth() + 1
+                        return [year, month].join('-')
+                    }
+                }
+            })
+            $('#archivo_btn').css('cursor', 'pointer').click(() => {
+                $("[name='archivo']").trigger('click')
+            })
+            $("[name='archivo']").change((e) => {
+                const arch = $(e.currentTarget)
+                const filename = arch[0].files[0].name
+                $('#archivo_btn').find('input').val(filename)
+            })
+            $('#importar_form').submit((e) => {
+                e.preventDefault()
+                const data = new FormData(e.currentTarget)
+                sendPost(_urls.api + '/import', data, true).then((resp) => {
+                    console.debug(resp)
+                })
+                return false
+            })
+        })
+    </script>
+@endpush

ui/resources/views/layout/body/menu.blade.php

@@ -2,6 +2,7 @@
   <a class="item" href="{{$urls->base}}">Inicio</a>
   @include('layout.body.menu.cuentas')
   @include('layout.body.menu.categorias')
+  <a class="item" href="{{$urls->base}}importar">Importar</a>
   <div class="right menu">
     <a class="item" href="{{$urls->base}}config">Config</a>
   </div>

ui/resources/views/layout/body/scripts.blade.php

@@ -7,7 +7,18 @@
     base: '{{$urls->base}}',
     api: '{{$urls->api}}'
   }
-  function buildAjax(url, method) {
+  function buildAjax(url, method, files=false) {
+      if (files) {
+          return {
+              url: url,
+              headers: {
+                  'Authorization': 'Bearer ' + API_KEY
+              },
+              method: method,
+              processData: false,
+              contentType: false
+          }
+      }
     return {
       url: url,
       headers: {
@@ -21,8 +32,8 @@
     let ajax_obj = buildAjax(url, 'GET')
     return $.ajax(ajax_obj)
   }
-  function sendPost(url, data) {
+  function sendPost(url, data, files=false) {
-    let ajax_obj = buildAjax(url, 'POST')
+    let ajax_obj = buildAjax(url, 'POST', files)
     ajax_obj['data'] = data
     return $.ajax(ajax_obj)
   }