show train logs when loading model (#273)

* path

* config path for log

* config path for log .

* model log endpoint

* model log in reducer

* no print

* oops dont forget about kaldi

elpis/endpoints/model.py

@@ -67,7 +67,8 @@ def load():
     app.config['CURRENT_PRON_DICT'] = model.pron_dict
     app.config['CURRENT_MODEL'] = model
     data = {
-        "config": model.config._load()
+        "config": model.config._load(),
+        "log": model.log
     }
     return jsonify({
         "status": 200,

elpis/engines/hft/objects/model.py

@@ -116,6 +116,7 @@ def __init__(self, **kwargs):
 
         # Prepare logging
         self.run_log_path = self.path.joinpath('train.log')
+        self.config['run_log_path'] = self.run_log_path.as_posix()
         if not Path(self.run_log_path).is_file():
             run(f'touch {self.run_log_path};')
         sys.stdout = open(self.run_log_path, 'w')
@@ -129,7 +130,7 @@ def load(cls, base_path: Path):
 
     @property
     def log(self):
-        with open(self.run_log_path) as logs:
+        with open(self.config['run_log_path']) as logs:
             return logs.read()
 
     def _set_finished_training(self, has_finished: bool) -> None:

elpis/engines/kaldi/objects/model.py

@@ -39,6 +39,7 @@ def __init__(self, **kwargs):
         self.settings = {'ngram': 1}
         print("model default settings", self.settings)
         self.run_log_path = self.path.joinpath('train.log')
+        self.config['run_log_path'] = self.run_log_path.as_posix()
         if not Path(self.run_log_path).is_file():
             run(f"touch {self.run_log_path};")
 
@@ -51,7 +52,7 @@ def load(cls, base_path: Path):
 
     @property
     def log(self):
-        with open(self.run_log_path) as logs:
+        with open(self.config['run_log_path']) as logs:
             return logs.read()
 
     def link_pron_dict(self, pron_dict: PronDict):
@@ -259,9 +260,7 @@ def background_train_task():
 
     def get_train_results(self):
         results = {}
-        # self.run_log_path isn't available...
-        run_log_path = self.path.joinpath('train.log')
-        with run_log_path.open() as log_file:
+        with self.config['run_log_path'].open() as log_file:
             wer_lines = []
             for line in reversed(list(log_file)):
                 line = line.rstrip()

elpis/gui/src/redux/reducers/modelReducer.js

@@ -39,6 +39,7 @@ const model = (state = initState, action) => {
         case actionTypes.MODEL_LOAD_SUCCESS: {
             var {name, dataset_name, engine_name, pron_dict_name, settings, results} = action.response.data.data.config;
             let model_status = action.response.data.data.config;
+            let log = action.response.data.data.log;
 
             console.log("model reducer load success");
             console.log(settings);
@@ -48,6 +49,7 @@ const model = (state = initState, action) => {
                 ...state,
                 name,
                 results,
+                log,
                 status: model_status,
                 datasetName: dataset_name,
                 engineName: engine_name,