def load_mods():
import json
import glob
import os
import sys
from sagas.conf import resource_files, resource_path
mod_files=[resource_path(f) for f in resource_files('mod_*.json')]
# load custom rulesets
if os.path.exists('./assets'):
mod_files.extend(glob.glob('./assets/mod_*.json'))
sys.path.append(os.path.abspath('.'))
lang_mods={}
for mod_file in mod_files:
logger.info(f'.. load mod {mod_file}')
with open(mod_file) as f:
cfg=json.load(f)
for k,v in cfg.items():
if k in lang_mods:
lang_mods[k].extend(v)
else:
lang_mods[k]=v
lang_mod_classes={}
for k,v in lang_mods.items():
lang_mod_classes[k]=[class_from_module_path(c) for c in v]
return lang_mod_classes
def user_dict():
from sagas.conf import resource_path
dictf = resource_path('dict_zh.txt')
jieba.load_userdict(dictf)
seg_list = jieba.cut("列出所有的采购订单") # 默认是精确模式
print(", ".join(seg_list))
def __init__(self, lang: Text):
from sagas.conf import resource_path
import json_utils
from os import path
file = resource_path(f'analspa_{lang}.json')
self.root = json_utils.read_json_file(file) if path.exists(
file) else {}
def test_dict():
# self.segmentor.load(os.path.join(MODELDIR, "cws.model"))
dictf = resource_path('dict_zh.txt')
segmentor = Segmentor() # 初始化实例
segmentor.load_with_lexicon(os.path.join(MODELDIR, "cws.model"), dictf)
# segmentor.load(os.path.join(MODELDIR, "cws.model"))
words = segmentor.segment('列出派工单') # fail: '列出所有的采购订单'
print('\t'.join(words))
segmentor.release()
def __init__(self):
from sagas.conf import resource_path
self.type_defs = load_schema_from_path(resource_path('schemas.graphql'))
query = QueryType()
bucket = ObjectType('Bucket')
behave = ObjectType('Behave')
desc = ObjectType('Desc')
query.set_field('bucket_behaves', bucket_behaves)
bucket.set_field('behaves', resolve_behaves)
self.schema = make_executable_schema(self.type_defs, [behave, bucket, query])
def __init__(self):
import glob
import json_utils
from sagas.conf import resource_files, resource_path
self.intents = []
files = [resource_path(f) for f in resource_files('ruleset_*.json')]
# for f in glob.glob(f'{cf.conf_dir}/stack/conf/ruleset_*.json'):
for f in files:
rules = json_utils.read_json_file(f)
# for rule in rules:
# self.intents.append({rule['intent']: {'triggers': rule['action']}})
self.intents.extend(rules)
def __init__(self):
from sagas.conf import resource_path
MODELDIR = f'{cf.conf_dir}/ai/ltp/ltp_data_v3.4.0'
self.segmentor = Segmentor()
# self.segmentor.load(os.path.join(MODELDIR, "cws.model"))
dictf = resource_path('dict_zh.txt')
self.segmentor.load_with_lexicon(os.path.join(MODELDIR, "cws.model"),
dictf)
self.postagger = Postagger()
self.postagger.load(os.path.join(MODELDIR, "pos.model"))
self.parser = Parser()
self.parser.load(os.path.join(MODELDIR, "parser.model"))
self.recognizer = NamedEntityRecognizer()
self.recognizer.load(os.path.join(MODELDIR, "ner.model"))
self.labeller = SementicRoleLabeller()
self.labeller.load(os.path.join(MODELDIR, "pisrl.model"))
def start(self):
import json
import glob
import os
import sys
from sagas.conf import resource_files, resource_path
mod_files = [
resource_path(f) for f in resource_files('startups_default*.json')
]
if os.path.exists('./assets'):
mod_files.extend(glob.glob('./assets/startups_*.json'))
sys.path.append(os.path.abspath('.'))
for mod_file in mod_files:
logger.info(f'.. load startup {mod_file}')
with open(mod_file) as f:
cfg = json.load(f)
classes = [class_from_module_path(c) for c in cfg]
for c in classes:
ci = c()
self.mods.append(ci)
ci.start()
def init_logger():
from sagas.conf import resource_path
file=resource_path('logger.yml')
with open(file, 'r') as f:
config = yaml.safe_load(f.read())
logging.config.dictConfig(config)
