Usando spaCy para NLP que permite diferenciar entidades en el texto

This commit is contained in:
2020-11-17 18:44:32 -03:00
parent 2d157f6989
commit e2fd9b7daa
6 changed files with 85 additions and 10 deletions

View File

@ -2,10 +2,43 @@ import os
import json
class Command:
def __init__(self):
self.command = ''
class Commands:
def __init__(self, data_folder):
self.filename = os.path.join(data_folder, 'commands.json')
data = []
try:
with open(self.filename, 'r') as f:
data = json.load(f)
except FileNotFoundError:
pass
self.commands = []
for c in data:
cmd = Command()
cmd.command = c
self.commands.append(cmd)
def get(self, command):
for i, c in enumerate(self.commands):
if command == c.command:
return i
return None
def find(self, command):
return self.commands[self.get(command=command)]
class Instruccion:
def __init__(self):
self.instruccion = ''
self.aliases = []
self.command = None
self.params = {}
class Instrucciones:
@ -18,12 +51,20 @@ class Instrucciones:
except FileNotFoundError:
pass
self.commands = Commands(data_folder)
self.instrucciones = []
for d in data:
i = Instruccion()
i.instruccion = d['instruccion']
for a in d['aliases']:
i.aliases.append(a)
i.instruccion = d['name']
if 'aliases' in d:
for a in d['aliases']:
i.aliases.append(a)
if 'params' in d:
for param, val in d['params'].items():
i.params[param] = val
if 'command' in d:
i.command = self.commands.find(d['command'])
self.instrucciones.append(i)
def get(self, instruccion):
@ -35,6 +76,11 @@ class Instrucciones:
if instruccion in ins.aliases:
return i
def find(self, instruccion):
if not self.is_valid(instruccion):
return None
return self.instrucciones[self.get(instruccion)]
def is_valid(self, instruccion):
for i in self.instrucciones:
if instruccion == i.instruccion: