{
"info": {
"author": "Anthony Reinette",
"author_email": "anthony.reinette@snips.ai",
"bugtrack_url": null,
"classifiers": [
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.5"
],
"description": "Hermes Python\n*************\n\n.. image:: https://travis-ci.org/snipsco/hermes-protocol.svg\n :target: https://travis-ci.org/snipsco/hermes-protocol\n\n.. image:: https://badge.fury.io/py/hermes-python.svg\n :target: https://badge.fury.io/py/hermes-python\n\n\nAbout\n*****\n\nThe ``hermes-python`` library provides python bindings for the Hermes\nprotocol that snips components use to communicate together over MQTT.\n``hermes-python`` allows you to interface seamlessly with the Snips\nplatform and kickstart development of Voice applications.\n\n``hermes-python`` abstracts away the connection to the MQTT bus and\nthe parsing of incoming and outcoming messages from and to the\ncomponents of the snips platform.\n\n\nRequirements\n************\n\nPre-compiled wheels are available for Python 2.7+ and Python 3.5\n\nThe pre-compiled wheels supports the following platform tags :\n\n* ``manylinux1_x86_64``\n\n* ``armv7l``, ``armv6``\n\n* ``macos``\n\nIf you want to install ``hermes-python`` on another platform, you have\nto build it from source.\n\n\nInstallation\n************\n\nThe library is packaged as a pre-compiled platform wheel, available on\n`PyPi `_.\n\nIt can be installed with : ``pip install hermes-python``.\n\nOr you can add it to your *requirements.txt* file.\n\n\nBuilding from source\n********************\n\nIf you want to use ``hermes-python`` on platforms that are not\nsupported, you have to manually compile the wheel.\n\nYou need to have ``rust`` and ``cargo`` installed :\n\n``curl https://sh.rustup.rs -sSf``\n\nClone, the ``hermes-protocol`` repository :\n\n::\n\n git clone git@github.com:snipsco/hermes-protocol.git\n cd hermes-protocol/platforms/hermes-python\n\nYou can then build the wheel :\n\n::\n\n virtualenv env\n source env/bin/activate\n python setup.py bdist_wheel\n\nThe built wheels should be in ``platforms/hermes-python/dist``\n\nYou can install those with pip : ``pip install\nplatforms/hermes-python/dist/.whl``\n\n\nAdvanced wheel building\n***********************\n\nWe define a new API for including pre-compiled shared objects when\nbuilding a platform wheel.\n\n::\n\n python setup.py bdist_wheel\n\nThis command will compile the ``hermes-mqtt-ffi`` Rust extension, copy\nthem to an appropriate location, and include them in the wheel.\n\nWe introduce a new command-line argument : ``include-extension`` which\nis a way to include an already compiled (in previous steps)\n``hermes-mqtt-ffi`` extension in the wheel.\n\nIts usage is the following : ``include-extension=``\n\nFor instance :\n\n::\n\n python setup.py bdist_wheel --include-extension=default\n\nThe default value for ``include-extension`` will look up for\npre-compiled extension in the default paths (in\n``hermes-protocol/target/release/libhermes_mqtt_ffi.[dylib|so]`` and\n``hermes-protocol/platforms/hermes-python/hermes_python/dylib``).\n\n::\n\n python setup.py bdist_wheel --include-extension=\n\nWhen doing x-compilation, you can also specify the target platform :\n\n::\n\n python setup.py bdist_wheel --include-extension= --plat-name=\n\n\nTutorial\n********\n\nThe lifecycle of a script using ``hermes-python`` has the following\nsteps :\n\n* Initiating a connection to the MQTT broker\n\n* Registering callback functions to handle incoming intent parsed by\n the snips platform\n\n* Listening to incoming intents\n\n* Closing the connection\n\nLet\u2019s quickly dive into an example :\n\nLet\u2019s write an app for a Weather Assistant ! This code implies that\nyou created a weather assistant using the `Snips Console\n`_, and that it has a\n``searchWeatherForecast`` intent. Or you could download `this weather\nAssistant\n`_\n.\n\n::\n\n from hermes_python.hermes import Hermes\n\n MQTT_ADDR = \"localhost:1883\" # Specify host and port for the MQTT broker\n\n def subscribe_weather_forecast_callback(hermes, intent_message): # Defining callback functions to handle an intent that asks for the weather.\n print(\"Parsed intent : {}\".format(intent_message.intent.intent_name))\n\n with Hermes(MQTT_ADDR) as h: # Initialization of a connection to the MQTT broker\n h.subscribe_intent(\"searchWeatherForecast\", subscribe_weather_forecast_callback) \\ # Registering callback functions to handle the searchWeatherForecast intent\n .start()\n # We get out of the with block, which closes and releases the connection.\n\nThis app is a bit limited as it only prints out which intent was\ndetected by our assistant. Let\u2019s add more features.\n\n\nHandling the ``IntentMessage`` object\n=====================================\n\nIn the previous example, we registered a callback that had this\nsignature.\n\n::\n\n subscribe_intent_callback(hermes, intent_message)\n\nThe ``intent_message`` object contains information that was extracted\nfrom the spoken sentence.\n\nFor instance, in the previous code snippet, we extracted the name of\nthe recognized intent with\n\n::\n\n intent_message.intent.intent_name\n\nWe could also retrieve the associated confidence score the NLU engine\nhad when classifying this intent with\n\n::\n\n intent_message.intent.confidence_score\n\n\nExtracting slots\n----------------\n\nHere are some best practices when dealing with slots. The\n``IntentMessage`` object has a ``slots`` attribute.\n\nThis ``slots`` attributes is a **container** that is empty when the\nintent message doesn\u2019t have slots :\n\n::\n\n assert len(intent_message.slots) == 0\n\nThis container is a dictionary where the key is the name of the slot,\nand the value is a list of all the slot values for this slot name.\n\nYou can access these values in two ways :\n\n::\n\n assert len(intent_message.slots.slot1) == 0\n assert len(intent_message.slots[\"slot1\"]) == 0\n\nThe slot values are of type ``NluSlot`` which is a deeply nested\nobject, we offer convenience methods to rapidly access the\n*slot_value* attribute of the *NluSlot*.\n\nTo access the first ``slot_value`` of a slot called ``myslot``, you\ncan use :\n\n::\n\n intent_message.slots.myslot.first()\n\nYou can also access all the ``slot_value`` of a slot called ``myslot``\n:\n\n::\n\n intent_message.slots.myslot.all()\n\nLet\u2019s add to our Weather assistant example.\n\nWe assume that the ``searchWeatherForecast`` has one slot called\n``forecast_location``, that indicates which location the user would\nlike to know the weather at.\n\nLet\u2019s print all the ``forecast_location`` slots :\n\n::\n\n for slot in intent_message.slots.forecast_location:\n name = slot.slot_name\n confidence = slot.confidence_score\n print(\"For slot : {}, the confidence is : {}\".format(name, confidence))\n\nThe *dot* notation was used, but we can also use the dictionary\nnotation :\n\n::\n\n for slot in intent_message.slots.forecast_location:\n name = slot[\"slot_name\"]\n print(name)\n\nSome convenience methods are available to easily retrieve slot values\n:\n\n*Retrieving the first slot value for a given slot name*\n\n::\n\n slot_value = intent_message.slots.forecast_location.first()\n\n*Retrieving all slot values for a given slot name*\n\n::\n\n slot_values = intent_message.slots.forecast_location.all()\n\nComing back to our example, we can now have the app print the\n``forecast_location`` slot value back to the user :\n\n::\n\n def subscribe_weather_forecast_callback(hermes, intent_message):\n slot_value = intent_message.slots.forecast_location.first().value\n print(\"The slot was : {}\".format(slot_value)\n\n\nManaging sessions\n=================\n\nThe Snips platform includes support for conversations with back and\nforth communication between the Dialogue Manager and the client code.\nWithin the Snips platform, a conversation happening between a user and\nher assistant is called a session.\n\nIn this document, we will go through the details of how to start,\ncontinue and end a session.\n\nIn its default setup, you initiate a conversation with your assistant\nby pronouncing the defined wake-word. You say your request out-loud,\nan intent is extracted from your request, and triggers the portion of\nthe action code you registered to react to this intent. Under the\nhood, the Dialogue Manager starts a new **session** when the wake-word\nis detected. The session is then ended by the action code.\n\n\nStarting a session\n------------------\n\nA session can be also be started programmatically. When you initiate a\nnew session, the Dialogue Manager will start the session by asking the\nTTS to say the text (if any) and wait for the answer of the end user.\n\nYou can start a session in two manners :\n\n* with an action\n\n* with a notification\n\nWhen initiating a new session with an action, it means the action code\nwill expect a response from the end user.\n\nFor instance: You could have an assistant that books concerts tickets\nfor you. The action code would start a session with an action, having\nthe assistant asking for what band you would like to see live.\n\nWhen initiating a new session with a notification, it means the action\ncode only inform the user of something without expecting a response.\n\nFor instance: Instead of pronouncing your defined wake-word, you could\nprogram a button to initiate a new session.\n\nLet\u2019s build up on our previous example of an assistant that book\nconcerts tickets for you. Here, we are going to initiate a new session\nwith an **action**, filtering on the intent the end-user can respond\nwith.\n\n::\n\n from hermes_python.hermes import Hermes, MqttOptions\n\n with Hermes(mqtt_options=MqttOptions()) as h:\n h.publish_start_session_action(None,\n \"What band would you like to see live ?\",\n [\"findLiveBands\"],\n True, False, None)\n\nLet\u2019s say that we added a physical button to initiate a conversation\nwith our concert tickets booking assistant. We could use this button\nto initiate a new session and start talking immediately after pressing\nthe button instead of relying on triggering a wake-word.\n\nWhen the button is pressed, the following code could be ran :\n\n::\n\n hermes.publish_start_session_notification(\"office\", None, None)\n\nThis would initiate a new session on the ``office`` site id.\n\n\nEnding a session\n----------------\n\nTo put an end to the current interaction the action code can terminate\na started session. You can optionally terminate a session with a\nsession with a message that should be said out loud by the TTS.\n\nLet\u2019s get back to our concert tickets booking assistant, we would end\na session like this :\n\n::\n\n from hermes_python.hermes import Hermes, MqttOptions\n\n\n def find_shows(band):\n pass\n\n\n def findLiveBandHandler(hermes, intent_message):\n band = intent_message.slots.band.first().value\n shows = find_shows(band)\n hermes.publish_end_session(intent_message.session_id, \"I found {} shows for this band !\".format(len(shows)))\n\n\n with Hermes(mqtt_options=MqttOptions()) as h:\n h\\\n .subscribe_intent(\"findLiveBand\", findLiveBandHandler)\\\n .start()\n\n\nContinuing a session\n--------------------\n\nYou can programmatically extend the lifespan of a dialogue session,\nexpecting interactions from the end users. The typical use of\ncontinuing a session is for your assistant to ask additional\ninformation to the end user.\n\nLet\u2019s continue with our concert tickets booking assistant, after\nstarting a session, we will continue a session, expecting the user to\ntell us how many tickets the assistant should buy.\n\n::\n\n import json\n from hermes_python.hermes import Hermes, MqttOptions\n\n required_slots = { # We are expecting these slots.\n \"band\": None,\n \"number_of_tickets\": None\n }\n\n def ticketShoppingHandler(hermes, intent_message):\n available_slots = json.loads(intent_message.custom_data)\n\n band_slot = intent_message.slots.band.first().value or available_slots[\"band\"]\n number_of_tickets = intent_message.slots.number_of_tickets.first().value or available_slots[\"number_of_tickets\"]\n\n available_slots[\"band\"] = band_slot\n available_slots[\"number_of_tickets\"] = number_of_tickets\n\n if not band_slot:\n return hermes.publish_continue_session(intent_message.session_id,\n \"What band would you like to see live ?\",\n [\"ticketShopping\"],\n custom_data=json.dumps(available_slots))\n\n if not number_of_tickets:\n return hermes.publish_continue_session(intent_message.session_id,\n \"How many tickets should I buy ?\",\n [\"ticketShopping\"],\n custom_data=json.dumps(available_slots))\n\n return hermes.publish_end_session(intent_message.session_id, \"Ok ! Consider it booked !\")\n\n\n with Hermes(mqtt_options=MqttOptions(\"raspi-anthal-support.local\")) as h:\n h\\\n .subscribe_intent(\"ticketShopping\", ticketShoppingHandler)\\\n .start()\n\n\nSlot filling\n------------\n\nYou can programmatically continue a session, and asking for a specific\nslot. If we build on our previous example, we could continue a dialog\nsession by specifying which slot the assistant expects from the\nend-user.\n\n::\n\n import json\n from hermes_python.hermes import Hermes, MqttOptions\n\n required_slots_questions = {\n \"band\": \"What band would you like to see live ?\",\n \"number_of_tickets\": \"How many tickets should I buy ?\"\n }\n\n def ticketShoppingHandler(hermes, intent_message):\n available_slots = json.loads(intent_message.custom_data)\n\n band_slot = intent_message.slots.band.first().value or available_slots[\"band\"]\n number_of_tickets = intent_message.slots.number_of_tickets.first().value or available_slots[\"number_of_tickets\"]\n\n available_slots[\"band\"] = band_slot\n available_slots[\"number_of_tickets\"] = number_of_tickets\n\n missing_slots = filter(lambda slot: slot is None, [band_slot, number_of_tickets])\n\n if len(missing_slots):\n missing_slot = missing_slots.pop()\n return hermes.publish_continue_session(intent_message.session_id,\n required_slots_questions[missing_slot],\n custom_data=json.dumps(available_slots),\n slot_to_fill=missing_slot)\n else:\n return hermes.publish_end_session(intent_message.session_id, \"Ok ! Consider it booked !\")\n\n\n with Hermes(mqtt_options=MqttOptions(\"raspi-anthal-support.local\")) as h:\n h\\\n .subscribe_intent(\"ticketShopping\", ticketShoppingHandler)\\\n .start()\n\n\nDynamic Vocabulary using Entities Injection\n===========================================\n\nPlease refer to the `official documentation\n`_ for\nfurther information.\n\nSometimes, you want to extend your voice assistant with new vocabulary\nit hasn\u2019t seen when it was trained. For instance, let\u2019s say that you\nhave a bookstore voice assistant, that you update every week with new\nbook titles that came out.\n\nThe snips platform comes with the **Entities Injection** feature,\nwhich allows you to update both the ASR and the NLU models directly on\nthe device to understand new vocabulary.\n\nEach intent within an assistant may contain some slots, and each slot\nhas a specific type that we call an entity. If you have a book_title\nentity that contains a list of book titles in the inventory of your\nbook store, Entities Injection lets you add new titles to this list.\n\nTo inject new entity values, you have multiple operations at your\ndisposal :\n\n* ``add`` adds the list of values that you provide to the existing\n entity values.\n\n* ``addFromVanilla`` removes all the previously injected values to\n the entity, and then, adds the list of values provided. Note that\n the entity values coming from the console will be kept.\n\nLet\u2019s see how an injection would be performed by the action code :\n\n::\n\n from hermes_python.hermes import Hermes\n from hermes_python.ontology.injection import InjectionRequestMessage, AddInjectionRequest, AddFromVanillaInjectionRequest\n\n def retrieve_new_book_releases():\n return [\"The Half-Blood Prince\", \"The Deathly Hallows\"]\n\n\n def retrieve_book_inventory():\n return [\"The Philosopher's Stone\", \"The Chamber of Secrets\", \"The Prisoner of Azkaban\", \"The Goblet of Fire\",\n \"The Order of the Phoenix\", \"The Half-Blood Prince\", \"The Deathly Hallows\"]\n\n\n # First example : We just add weekly releases\n\n operations = [\n AddInjectionRequest({\"book_titles\" : retrieve_new_book_releases() }),\n ]\n\n request1 = InjectionRequestMessage(operations)\n\n with Hermes(\"localhost:1883\") as h:\n h.request_injection(request1)\n\n\n # Second example : We reset all the previously injected values of the book_title entity, and then, adds the list of values provided\n\n operations = [\n AddInjectionRequest({\"book_titles\" : retrieve_book_inventory() }),\n ]\n\n request2 = InjectionRequestMessage(operations)\n\n with Hermes(\"localhost:1883\") as h:\n h.request_injection(request2)\n\n**Careful**, performing an entity injection is a CPU and memory\nintensive task. You should not trigger multiple injection tasks at the\nsame time on devices with limited computing power.\n\nYou can register a callback so that your code knows when an injection\nprocess is completed :\n\n::\n\n def injection_completed(hermes, injection_complete_message):\n print(\"The injection operation with id {} completed !\".format(injection_complete_message.request_id))\n\n with Hermes(\"localhost:1883\") as h:\n h.subscribe_injection_complete(injection_completed).request_injection(injection_request)\n\nYou can monitor the progress of your injection request with\n``snips-watch -vvv``.\n\nYou can also reset the injected vocabulary of your assistant to its\nfactory settings using the ``request_injection_reset` method of\n``hermes``. Since the operation of resetting the injection is\nasynchronous, you can register a callback to know when the injection\nreset process is completed :\n\n::\n\n def injection_reset_completed(hermes, injection_reset_complete_message):\n print(\"The injection reset operation with id {} completed !\".format(injection_reset_complete_message.request_id))\n\n with Hermes(\"localhost:1883\") as h:\n h.subscribe_injection_reset_complete(injection_reset_completed).request_injection_reset(request)\n\n\nConfiguring MQTT options\n========================\n\nThe connection to your MQTT broker can be configured with the\n``hermes_python.ffi.utils.MqttOptions`` class.\n\nThe ``Hermes`` client uses the options specified in the\n``MqttOptions`` class when establishing the connection to the MQTT\nbroker.\n\nHere is a code example :\n\n::\n\n from hermes_python.hermes import Hermes\n from hermes_python.ffi.utils import MqttOptions\n\n mqtt_opts = MqttOptions()\n\n def simple_intent_callback(hermes, intent_message):\n print(\"I received an intent !\")\n\n with Hermes(mqtt_options=mqtt_opts) as h:\n h.subscribe_intents().loop_forever()\n\nHere are the options you can specify in the MqttOptions class :\n\n* ``broker_address``: The address of the MQTT broker. It should be\n formatted as ``ip:port``.\n\n* ``username``: Username to use on the broker. Nullable\n\n* ``password``: Password to use on the broker. Nullable\n\n* ``tls_hostname``: Hostname to use for the TLS configuration.\n Nullable, setting a value enables TLS\n\n* ``tls_ca_file``: CA files to use if TLS is enabled. Nullable\n\n* ``tls_ca_path``: CA path to use if TLS is enabled. Nullable\n\n* ``tls_client_key``: Client key to use if TLS is enabled. Nullable\n\n* ``tls_client_cert``: Client cert to use if TLS is enabled. Nullable\n\n* ``tls_disable_root_store``: Boolean indicating if the root store\n should be disabled if TLS is enabled.\n\nLet\u2019s connect to an external MQTT broker that requires a username and\na password :\n\n::\n\n from hermes_python.hermes import Hermes\n from hermes_python.ffi.utils import MqttOptions\n\n mqtt_opts = MqttOptions(username=\"user1\", password=\"password\", broker_address=\"my-mqtt-broker.com:18852\")\n\n def simple_intent_callback(hermes, intent_message):\n print(\"I received an intent !\")\n\n with Hermes(mqtt_options=mqtt_opts) as h:\n h.subscribe_intents().loop_forever()\n\n\nConfiguring Dialogue\n====================\n\n``hermes-python`` offers the possibility to configure different\naspects of the Dialogue system.\n\n\nEnabling and disabling intents on the fly\n-----------------------------------------\n\nIt is possible to enable and disable intents of your assistant on the\nfly. Once an intent is disabled, it will not be recognized by the NLU.\n\nNote that intents in the intent filters of started or continued\nsession will take precedence over intents that are enabled/disabled in\nthe configuration of the Dialogue.\n\nYou can disable/enable intents with the following methods :\n\n::\n\n from hermes_python.ontology.dialogue import DialogueConfiguration\n\n dialogue_conf = DialogueConfiguration() \\\n .disable_intent(\"intent1\") \\\n .enable_intent(\"intent2\") \\\n .enable_intents([\"intent1\", \"intent2\"]) \\\n .disable_intents([\"intent2\", \"intent1\"])\n\n hermes.configure_dialogue(dialogue_conf)\n\n\nConfiguring Sound Feedback\n==========================\n\n\nEnabling and disabling sound feedback\n-------------------------------------\n\nBy default, the snips platform notify the user of different events of\nits lifecycle with sound. It emits a sound when the wakeword is\ndetected, or when the NLU engine (natural understanding engine) has\nsuccessfuly extracted an intent from a spoken sentence.\n\n``hermes-python`` allows to disable this sound feedback\nprogrammatically, by sending a message to the snips platform,\nspecifying the ``siteId`` where the sound feedback should be disabled.\n\n::\n\n from hermes_python.hermes import Hermes\n from hermes_python.ontology.feedback import SiteMessage\n\n with Hermes(\"localhost:1883\") as h:\n h.disable_sound_feedback(SiteMessage(\"kitchen\"))\n h.start()\n\n\nMaking the TTS play custom sounds\n---------------------------------\n\nThe snips-platform allows you to register custom sounds which can be\nplayed later by the TTS engine.\n\n``hermes-python`` allows you to register sounds on the fly, by\nspecifying a string identifier for the sound, and providing a ``wav``\nfile.\n\nFor instance, let\u2019s say that your assistant tells a bad joke and that\nyou want to play a *ba dum tss* sound at the end of the punchline.\n\n::\n\n from builtins import bytearray\n from hermes_python.hermes import Hermes\n from hermes_python.ontology.tts import RegisterSoundMessage\n\n # Step 1 : We read a wav file\n def read_wav_data():\n with open('ba_dum_tss.wav', 'rb') as f:\n read_data = f.read()\n return bytearray(read_data)\n\n\n # Step 2 : We register a sound that will be named \"bad_joke\"\n sound = RegisterSoundMessage(\"bad_joke\", read_wav_data())\n\n def callback(hermes, intent_message):\n hermes.publish_end_session(intent_message.session_id, \"A very bad joke ... [[sound:bad_joke]]\") # Step 4 : You play your registered sound\n\n with Hermes(\"localhost:1883\") as h:\n h.connect()\\\n .register_sound(sound)\\ # Step 3 : You register your custom sound\n .subscribe_intents(callback)\\\n .start()\n\nIn the TTS string, when you specify the sound you want to play, you\nneed to follow the syntax : ``[[sound:]]``\n\n\nEnabling Debugging\n==================\n\nYou can debug ``hermes-python`` if you encounter an issue and get a\nbetter stacktrace that you can send us.\n\nTo do so, you have to set the ``rust_logs_enabled`` flag to True when\nyou create an instance of the ``Hermes`` class :\n\n::\n\n from hermes_python.hermes import Hermes\n\n def callback(hermes, intent_message):\n pass\n\n with Hermes(\"localhost:1883\", rust_logs_enabled=True) as h:\n h.subscribe_intent(\"...\", callback)\n h.start()\n\nYou should then execute your script with the ``RUST_LOG`` environment\nvariable : ``RUST_LOG=TRACE python your_script.py``.\n\n\nRelease Checklist\n*****************\n\nEverytime you need to perform a release, do the following steps :\n\n* [ ] Commit all changes to the project for said release\n\n* [ ] Write all the changes introduced in the Changelog\n (source/HISTORY.rst file) and commit it\n\n* [ ] Run tests\n\n* [ ] Build the documentation and commit the README.rst\n\n* [ ] Bump the version and commit it\n\n* [ ] Upload to PyPI\n\n\nBuild details\n*************\n\n\nCreating macOS wheels\n=====================\n\nThe build script : ``build_scripts/build_macos_wheels.sh`` uses\n``pyenv`` to generate ``hermes-python`` wheels for different versions\nof python.\n\nTo be able to run it, you need to :\n\n* install pyenv : brew install pyenv. 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