Merge pull request #355 from hellohaptik/postman-tests-framework

Postman tests framework

.gitignore

@@ -105,3 +105,5 @@ sftp-config.json
 logs/
 
 .vscode
+newman_reports/
+dev.json

.pylintrc

@@ -62,7 +62,7 @@ disable=invalid-name,
         import-error,
         too-few-public-methods
 
-enable=
+enable=unused-import
 
 
 [REPORTS]

chatbot_ner/config.py

@@ -1,4 +1,5 @@
 from __future__ import absolute_import
+
 import logging.handlers
 import os
 
@@ -51,80 +52,69 @@
 nlp_logger.addHandler(handler_stdout)
 
 ENGINE = os.environ.get('ENGINE')
-if ENGINE:
-    ENGINE = ENGINE.lower()
-else:
-    ner_logger.warning("`ENGINE` variable is not set, Text type entities won't work without it")
-
 # ES settings (Mandatory to use Text type entities)
+ES_SCHEME = os.environ.get('ES_SCHEME', 'http')
 ES_URL = os.environ.get('ES_URL')
 ES_HOST = os.environ.get('ES_HOST')
 ES_PORT = os.environ.get('ES_PORT')
-ES_INDEX_NAME = os.environ.get('ES_INDEX_NAME')
+ES_ALIAS = os.environ.get('ES_ALIAS')
+ES_INDEX_1 = os.environ.get('ES_INDEX_1')
 ES_DOC_TYPE = os.environ.get('ES_DOC_TYPE', 'data_dictionary')
 ES_AUTH_NAME = os.environ.get('ES_AUTH_NAME')
 ES_AUTH_PASSWORD = os.environ.get('ES_AUTH_PASSWORD')
 ES_BULK_MSG_SIZE = os.environ.get('ES_BULK_MSG_SIZE', '10000')
 ES_SEARCH_SIZE = os.environ.get('ES_SEARCH_SIZE', '10000')
 
-# Crf Model Specific (Mandatory to use CRF Model)
-CRF_MODELS_PATH = os.environ.get('MODELS_PATH')
-CRF_EMBEDDINGS_PATH_VOCAB = os.environ.get('EMBEDDINGS_PATH_VOCAB')
-CRF_EMBEDDINGS_PATH_VECTORS = os.environ.get('EMBEDDINGS_PATH_VECTORS')
-
 try:
     ES_BULK_MSG_SIZE = int(ES_BULK_MSG_SIZE)
     ES_SEARCH_SIZE = int(ES_SEARCH_SIZE)
 except ValueError:
     ES_BULK_MSG_SIZE = 1000
     ES_SEARCH_SIZE = 1000
 
+ELASTICSEARCH_CRF_DATA_INDEX_NAME = os.environ.get('ELASTICSEARCH_CRF_DATA_INDEX_NAME')
+ELASTICSEARCH_CRF_DATA_DOC_TYPE = os.environ.get('ELASTICSEARCH_CRF_DATA_DOC_TYPE')
+
 # Optional Vars
-ES_INDEX_1 = os.environ.get('ES_INDEX_1')
 ES_INDEX_2 = os.environ.get('ES_INDEX_2')
 DESTINATION_ES_SCHEME = os.environ.get('DESTINATION_ES_SCHEME', 'http')
 DESTINATION_HOST = os.environ.get('DESTINATION_HOST')
 DESTINATION_PORT = os.environ.get('DESTINATION_PORT')
 DESTINATION_URL = '{scheme}://{host}:{port}'.format(**{'scheme': DESTINATION_ES_SCHEME,
                                                        'host': DESTINATION_HOST,
                                                        'port': DESTINATION_PORT})
-ES_ALIAS = os.environ.get('ES_ALIAS')
-ES_SCHEME = os.environ.get('ES_SCHEME')
-ELASTICSEARCH_CRF_DATA_INDEX_NAME = os.environ.get('ELASTICSEARCH_CRF_DATA_INDEX_NAME')
-ELASTICSEARCH_CRF_DATA_DOC_TYPE = os.environ.get('ELASTICSEARCH_CRF_DATA_DOC_TYPE')
 
-# Crf Model Specific with additional AWS storage (optional)
-CRF_MODEL_S3_BUCKET_NAME = os.environ.get('CRF_MODEL_S3_BUCKET_NAME')
-CRF_MODEL_S3_BUCKET_REGION = os.environ.get('CRF_MODEL_S3_BUCKET_REGION')
-WORD_EMBEDDING_REMOTE_URL = os.environ.get('WORD_EMBEDDING_REMOTE_URL')
-GOOGLE_TRANSLATE_API_KEY = os.environ.get('GOOGLE_TRANSLATE_API_KEY')
-
-if not GOOGLE_TRANSLATE_API_KEY:
-    ner_logger.warning('Google Translate API key is null or not set')
-    GOOGLE_TRANSLATE_API_KEY = ''
+if ENGINE:
+    ENGINE = ENGINE.lower()
+    if ENGINE == 'elasticsearch':
+        if not all(key is not None and key.strip() for key in (ES_ALIAS, ES_INDEX_1, ES_DOC_TYPE)):
+            raise Exception(
+                'Invalid configuration for datastore (engine=elasticsearch). One or more of following keys: '
+                '`ES_ALIAS`, `ES_INDEX_1`, `ES_DOC_TYPE` is null in env')
+else:
+    ner_logger.warning("`ENGINE` variable is not set, Text type entities won't work without it")
 
 CHATBOT_NER_DATASTORE = {
     'engine': ENGINE,
     'elasticsearch': {
         'connection_url': ES_URL,  # Elastic Search URL
-        'name': ES_INDEX_NAME,  # Index name used
-        'doc_type': ES_DOC_TYPE,  # Index's doc type
+        'es_scheme': ES_SCHEME,  # The scheme used in ES default value is http://
         'host': ES_HOST,  # Elastic Search Host
         'port': ES_PORT,  # Port of elastic search
         'user': ES_AUTH_NAME,
         'password': ES_AUTH_PASSWORD,
+        'es_alias': ES_ALIAS,  # Elastic search alias used in transfer
+        'es_index_1': ES_INDEX_1,
+        'doc_type': ES_DOC_TYPE,  # Index's doc type
         'retry_on_timeout': False,
         'max_retries': 1,
         'timeout': 20,
         'request_timeout': 20,
 
         # Transfer Specific constants (ignore if only one elasticsearch is setup)
         # For detailed explanation datastore.elastic_search.transfer.py
-        'es_index_1': ES_INDEX_1,  # Index 1 used for transfer
         'es_index_2': ES_INDEX_2,  # Index 2 used for transfer
         'destination_url': DESTINATION_URL,  # Elastic search destination  URL
-        'es_alias': ES_ALIAS,  # Elastic search alias used in transfer
-        'es_scheme': ES_SCHEME,  # The scheme used in ES default value is http://
 
         # Training Data ES constants
         'elasticsearch_crf_data_index_name': ELASTICSEARCH_CRF_DATA_INDEX_NAME,
@@ -150,7 +140,13 @@
     ner_logger.warning('`ES_AWS_SERVICE` and `ES_AWS_REGION` are not set. '
                        'This is not a problem if you are using self hosted ES')
 
+# TODO: Remove non functional crf code and cleanup
 # Model Vars
+# Crf Model Specific (Mandatory to use CRF Model)
+CRF_MODELS_PATH = os.environ.get('MODELS_PATH')
+CRF_EMBEDDINGS_PATH_VOCAB = os.environ.get('EMBEDDINGS_PATH_VOCAB')
+CRF_EMBEDDINGS_PATH_VECTORS = os.environ.get('EMBEDDINGS_PATH_VECTORS')
+
 if os.path.exists(MODEL_CONFIG_PATH):
     dotenv.read_dotenv(MODEL_CONFIG_PATH)
 else:
@@ -165,3 +161,13 @@
     CITY_MODEL_PATH = os.path.join(BASE_DIR, 'data', 'models', 'crf', 'city', 'model_13062017.crf')
 if not DATE_MODEL_PATH:
     DATE_MODEL_PATH = os.path.join(BASE_DIR, 'data', 'models', 'crf', 'date', 'model_date.crf')
+
+# Crf Model Specific with additional AWS storage (optional)
+CRF_MODEL_S3_BUCKET_NAME = os.environ.get('CRF_MODEL_S3_BUCKET_NAME')
+CRF_MODEL_S3_BUCKET_REGION = os.environ.get('CRF_MODEL_S3_BUCKET_REGION')
+WORD_EMBEDDING_REMOTE_URL = os.environ.get('WORD_EMBEDDING_REMOTE_URL')
+GOOGLE_TRANSLATE_API_KEY = os.environ.get('GOOGLE_TRANSLATE_API_KEY')
+
+if not GOOGLE_TRANSLATE_API_KEY:
+    ner_logger.warning('Google Translate API key is null or not set')
+    GOOGLE_TRANSLATE_API_KEY = ''

chatbot_ner/settings.py

@@ -102,13 +102,14 @@ def __getitem__(self, item):
     '--ignore-files=urls.py',
     '--ignore-files=wsgi.py',
     '--ignore-files=manage.py',
-    '--ignore-files=initial_setup.py',
+    '--ignore-files=nltk_setup.py',
     '--ignore-files=__init__.py',
     '--ignore-files=const.py',
     '--ignore-files=constant.py',
     '--ignore-files=constants.py',
     '--ignore-files=start_server.sh',
     '--ignore-files=settings.py',
+    '--ignore-files=run_postman_tests.py',
     '--exclude-dir=docs/',
     '--exclude-dir=docker/',
     '--exclude-dir=data/',

config.example

@@ -1,47 +1,67 @@
 # This is config.example file for chatbot_ner module similar to .env.example file to hold settings
-# Copy it to a file named config and fill in all the values.
+# Copy it to a docker/.env and fill in all the values.
 # Never push your personal keys and passwords to any public repository!
 # Please don't add spaces around '='
 
-# This is the primary engine to use. Valid values are one of the following: ['elasticsearch']
+NAME=chatbot_ner
+DJANGODIR=/app
+DJANGO_DEBUG=False
+DJANGO_LOG_LEVEL=DEBUG
+DJANGO_SETTINGS_MODULE=chatbot_ner.settings
+DJANGO_WSGI_MODULE=chatbot_ner/wsgi.py
+# Important: Change the value of SECRET_KEY to something else and keep it secret
+SECRET_KEY=!yqqcz-v@(s@kpygpvomcuu3il0q1&qtpz)e_g0ulo-sdv%c0c
 
+NUM_WORKERS=1
+MAX_REQUESTS=1000
+PORT=8081
+TIMEOUT=600
+
+# This is the primary engine to use for datastore. Valid values are one of the following: ['elasticsearch']
 ENGINE=elasticsearch
 
 # ES prefixed variables correspond to settings for elasticsearch.
 # ES_URL is the complete url with auth name and password required to connect. If provided, this will override ES_HOST,
 # ES_PORT, ES_AUTH_NAME, ES_AUTH_PASSWORD
-# ES_HOST by default is host for ES that comes up with compose
+# ES_HOST and ES_PORT by default is host for ES that comes up with compose
 
+ES_URL=
 ES_AUTH_NAME=
 ES_AUTH_PASSWORD=
+ES_SCHEME=http
 ES_HOST=elasticsearch
-ES_URL=
 ES_PORT=9200
-ES_INDEX_NAME=entity_data
+ES_ALIAS=entity_data
+ES_INDEX_1=entity_data_v1
+ES_INDEX_2=
 ES_DOC_TYPE=data_dictionary
-# ES_BULK_MSG_SIZE is an integer value
+ELASTICSEARCH_CRF_DATA_DOC_TYPE=training_dictionary
+ELASTICSEARCH_CRF_DATA_INDEX_NAME=entity_examples_data
+
 ES_BULK_MSG_SIZE=1000
-# ES_SEARCH_SIZE is an integer value
 ES_SEARCH_SIZE=10000
-# Provide the following values if you need AWS authentication
-ES_AWS_SERVICE=
-ES_AWS_REGION=
+
+# Auth variables if ES is hosted on AWS
 ES_AWS_ACCESS_KEY_ID=
+ES_AWS_REGION=
 ES_AWS_SECRET_ACCESS_KEY=
+ES_AWS_SERVICE=
+
+DESTINATION_ES_SCHEME=
+DESTINATION_HOST=
+DESTINATION_PORT=
 
-NAME=chatbot_ner
-DJANGODIR=/app
-NUM_WORKERS=1
-MAX_REQUESTS=1000
-DJANGO_SETTINGS_MODULE=chatbot_ner.settings
-DJANGO_WSGI_MODULE=chatbot_ner/wsgi.py
-DJANGO_LOG_LEVEL=debug
-DJANGO_DEBUG=False
-# Important: Change the value of SECRET_KEY to something else and keep it secret
-SECRET_KEY=!yqqcz-v@(s@kpygpvomcuu3il0q1&qtpz)e_g0ulo-sdv%c0c
-PORT=8081
-TIMEOUT=600
-CITY_MODEL_TYPE=crf
-CITY_MODEL_PATH=
 # In order to enable entity detection for multiple languages, we use google translate. Please enter the key(optional)
 GOOGLE_TRANSLATE_API_KEY=
+
+# Deprecated CRF models configuration
+MODELS_PATH=
+WORD_EMBEDDING_REMOTE_URL=
+EMBEDDINGS_PATH_VECTORS=
+EMBEDDINGS_PATH_VOCAB=
+CITY_MODEL_PATH=
+CITY_MODEL_TYPE=crf
+CRF_MODEL_S3_BUCKET_NAME=
+CRF_MODEL_S3_BUCKET_REGION=
+DATE_MODEL_PATH=
+DATE_MODEL_TYPE=

datastore/constants.py

@@ -11,8 +11,11 @@
 ELASTICSEARCH_VALUES_SEARCH_SIZE = 300000
 
 # settings dictionary key constants
+# TODO: these should not be here, two different sources of literals
 ENGINE = 'engine'
-ELASTICSEARCH_INDEX_NAME = 'name'
+ELASTICSEARCH_ALIAS = 'es_alias'
+ELASTICSEARCH_INDEX_1 = 'es_index_1'
+ELASTICSEARCH_INDEX_2 = 'es_index_2'
 ELASTICSEARCH_DOC_TYPE = 'doc_type'
 ELASTICSEARCH_VERSION_MAJOR, ELASTICSEARCH_VERSION_MINOR, ELASTICSEARCH_VERSION_OTHER = elasticsearch.VERSION
 ELASTICSEARCH_CRF_DATA_INDEX_NAME = 'elasticsearch_crf_data_index_name'