Metadata-Version: 2.1
Name: ibm-watson
Version: 6.1.0
Summary: Client library to use the IBM Watson Services
Home-page: https://github.com/watson-developer-cloud/python-sdk
Author: IBM Watson
Author-email: watdevex@us.ibm.com
License: Apache 2.0
Description: # Watson Developer Cloud Python SDK
        
        [![Build and Test](https://github.com/watson-developer-cloud/python-sdk/workflows/Build%20and%20Test/badge.svg?branch=master)](https://github.com/watson-developer-cloud/python-sdk/actions?query=workflow%3A"Build+and+Test")
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        [![Slack](https://wdc-slack-inviter.mybluemix.net/badge.svg)](https://wdc-slack-inviter.mybluemix.net)
        [![Latest Stable Version](https://img.shields.io/pypi/v/ibm-watson.svg)](https://pypi.python.org/pypi/ibm-watson)
        [![CLA assistant](https://cla-assistant.io/readme/badge/watson-developer-cloud/python-sdk)](https://cla-assistant.io/watson-developer-cloud/python-sdk)
        
        ## Deprecated builds
        
        [![Build Status](https://travis-ci.org/watson-developer-cloud/python-sdk.svg?branch=master)](https://travis-ci.org/watson-developer-cloud/python-sdk)
        
        Python client library to quickly get started with the various [Watson APIs][wdc] services.
        
        ## Announcements
        
        ### Tone Analyzer Deprecation
        
        As of this major release, 6.0.0, the Tone Analyzer api has been removed in preparation for deprecation. If you wish to continue using this sdk to make calls to Tone Analyzer until its final deprecation, you will have to use a previous version.
        
        On 24 February 2022, IBM announced the deprecation of the Tone Analyzer service. The service will no longer be available as of 24 February 2023. As of 24 February 2022, you will not be able to create new instances. Existing instances will be supported until 24 February 2023.
        
        As an alternative, we encourage you to consider migrating to the Natural Language Understanding service on IBM Cloud. With Natural Language Understanding, tone analysis is done by using a pre-built classifications model, which provides an easy way to detect language tones in written text. For more information, see [Migrating from Watson Tone Analyzer Customer Engagement endpoint to Natural Language Understanding](https://cloud.ibm.com/docs/natural-language-understanding?topic=natural-language-understanding-tone_analytics).
        
        ### Natural Language Classifier Deprecation
        
        As of this major release, 6.0.0, the NLC api has been removed in preparation for deprecation. If you wish to continue using this sdk to make calls to NLC until its final deprecation, you will have to use a previous version.
        
        On 9 August 2021, IBM announced the deprecation of the Natural Language Classifier service. The service will no longer be available from 8 August 2022. As of 9 September 2021, you will not be able to create new instances. Existing instances will be supported until 8 August 2022. Any instance that still exists on that date will be deleted.
        
        As an alternative, we encourage you to consider migrating to the Natural Language Understanding service on IBM Cloud that uses deep learning to extract data and insights from text such as keywords, categories, sentiment, emotion, and syntax, along with advanced multi-label text classification capabilities, to provide even richer insights for your business or industry. For more information, see [Migrating to Natural Language Understanding](https://cloud.ibm.com/docs/natural-language-classifier?topic=natural-language-classifier-migrating).
        
        ## Before you begin
        
        - You need an [IBM Cloud][ibm-cloud-onboarding] account. We now only support `python 3.5` and above
        
        ## Installation
        
        To install, use `pip` or `easy_install`:
        
        ```bash
        pip install --upgrade ibm-watson
        ```
        
        or
        
        ```bash
        easy_install --upgrade ibm-watson
        ```
        
        Note the following:
        a) Versions prior to 3.0.0 can be installed using:
        
        ```bash
        pip install --upgrade watson-developer-cloud
        ```
        
        b) If you run into permission issues try:
        
        ```bash
        sudo -H pip install --ignore-installed six ibm-watson
        ```
        
        For more details see [#225](https://github.com/watson-developer-cloud/python-sdk/issues/225)
        
        c) In case you run into problems installing the SDK in DSX, try
        
        ```
        !pip install --upgrade pip
        ```
        
        Restarting the kernel
        
        For more details see [#405](https://github.com/watson-developer-cloud/python-sdk/issues/405)
        
        ## Examples
        
        The [examples][examples] folder has basic and advanced examples. The examples within each service assume that you already have [service credentials](#getting-credentials).
        
        ## Running in IBM Cloud
        
        If you run your app in IBM Cloud, the SDK gets credentials from the [`VCAP_SERVICES`][vcap_services] environment variable.
        
        ## Authentication
        
        Watson services are migrating to token-based Identity and Access Management (IAM) authentication.
        
        - With some service instances, you authenticate to the API by using **[IAM](#iam)**.
        - In other instances, you authenticate by providing the **[username and password](#username-and-password)** for the service instance.
        
        ### Getting credentials
        
        To find out which authentication to use, view the service credentials. You find the service credentials for authentication the same way for all Watson services:
        
        1. Go to the IBM Cloud [Dashboard](https://cloud.ibm.com/) page.
        1. Either click an existing Watson service instance in your [resource list](https://cloud.ibm.com/resources) or click [**Create resource > AI**](https://cloud.ibm.com/catalog?category=ai) and create a service instance.
        1. Click on the **Manage** item in the left nav bar of your service instance.
        
        On this page, you should be able to see your credentials for accessing your service instance.
        
        ### Supplying credentials
        
        There are three ways to supply the credentials you found above to the SDK for authentication.
        
        #### Credential file
        
        With a credential file, you just need to put the file in the right place and the SDK will do the work of parsing and authenticating. You can get this file by clicking the **Download** button for the credentials in the **Manage** tab of your service instance.
        
        The file downloaded will be called `ibm-credentials.env`. This is the name the SDK will search for and **must** be preserved unless you want to configure the file path (more on that later). The SDK will look for your `ibm-credentials.env` file in the following places (in order):
        
        - The top-level directory of the project you're using the SDK in
        - Your system's home directory
        
        As long as you set that up correctly, you don't have to worry about setting any authentication options in your code. So, for example, if you created and downloaded the credential file for your Discovery instance, you just need to do the following:
        
        ```python
        discovery = DiscoveryV1(version='2019-04-30')
        ```
        
        And that's it!
        
        If you're using more than one service at a time in your code and get two different `ibm-credentials.env` files, just put the contents together in one `ibm-credentials.env` file and the SDK will handle assigning credentials to their appropriate services.
        
        If you would like to configure the location/name of your credential file, you can set an environment variable called `IBM_CREDENTIALS_FILE`. **This will take precedence over the locations specified above.** Here's how you can do that:
        
        ```bash
        export IBM_CREDENTIALS_FILE="<path>"
        ```
        
        where `<path>` is something like `/home/user/Downloads/<file_name>.env`.
        
        #### Environment Variables
        
        Simply set the environment variables using <service name>\_<variable name> syntax. For example, using your favourite terminal, you can set environment variables for Assistant service instance:
        
        ```bash
        export ASSISTANT_APIKEY="<your apikey>"
        export ASSISTANT_AUTH_TYPE="iam"
        ```
        
        The credentials will be loaded from the environment automatically
        
        ```python
        assistant = AssistantV1(version='2018-08-01')
        ```
        
        #### Manually
        
        If you'd prefer to set authentication values manually in your code, the SDK supports that as well. The way you'll do this depends on what type of credentials your service instance gives you.
        
        ### IAM
        
        IBM Cloud has migrated to token-based Identity and Access Management (IAM) authentication. IAM authentication uses a service API key to get an access token that is passed with the call. Access tokens are valid for approximately one hour and must be regenerated.
        
        You supply either an IAM service **API key** or a **bearer token**:
        
        - Use the API key to have the SDK manage the lifecycle of the access token. The SDK requests an access token, ensures that the access token is valid, and refreshes it if necessary.
        - Use the access token if you want to manage the lifecycle yourself. For details, see [Authenticating with IAM tokens](https://cloud.ibm.com/docs/watson?topic=watson-iam).
        - Use a server-side to generate access tokens using your IAM API key for untrusted environments like client-side scripts. The generated access tokens will be valid for one hour and can be refreshed.
        
        #### Supplying the API key
        
        ```python
        from ibm_watson import DiscoveryV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        # In the constructor, letting the SDK manage the token
        authenticator = IAMAuthenticator('apikey',
                                         url='<iam_url>') # optional - the default value is https://iam.cloud.ibm.com/identity/token
        discovery = DiscoveryV1(version='2019-04-30',
                                authenticator=authenticator)
        discovery.set_service_url('<url_as_per_region>')
        ```
        
        #### Generating bearer tokens using API key
        
        ```python
        from ibm_watson import IAMTokenManager
        
        # In your API endpoint use this to generate new bearer tokens
        iam_token_manager = IAMTokenManager(apikey='<apikey>')
        token = iam_token_manager.get_token()
        ```
        
        ##### Supplying the bearer token
        
        ```python
        from ibm_watson import DiscoveryV1
        from ibm_cloud_sdk_core.authenticators import BearerTokenAuthenticator
        
        # in the constructor, assuming control of managing the token
        authenticator = BearerTokenAuthenticator('your bearer token')
        discovery = DiscoveryV1(version='2019-04-30',
                                authenticator=authenticator)
        discovery.set_service_url('<url_as_per_region>')
        ```
        
        ### Username and password
        
        ```python
        from ibm_watson import DiscoveryV1
        from ibm_cloud_sdk_core.authenticators import BasicAuthenticator
        
        authenticator = BasicAuthenticator('username', 'password')
        discovery = DiscoveryV1(version='2019-04-30', authenticator=authenticator)
        discovery.set_service_url('<url_as_per_region>')
        ```
        
        ### No Authentication
        
        ```python
        from ibm_watson import DiscoveryV1
        from ibm_cloud_sdk_core.authenticators import NoAuthAuthenticator
        
        authenticator = NoAuthAuthenticator()
        discovery = DiscoveryV1(version='2019-04-30', authenticator=authenticator)
        discovery.set_service_url('<url_as_per_region>')
        ```
        
        ## Python version
        
        Tested on Python 3.5, 3.6, and 3.7.
        
        ## Questions
        
        If you have issues with the APIs or have a question about the Watson services, see [Stack Overflow](https://stackoverflow.com/questions/tagged/ibm-watson+python).
        
        ## Changes for v1.0
        
        Version 1.0 focuses on the move to programmatically-generated code for many of the services. See the [changelog](https://github.com/watson-developer-cloud/python-sdk/wiki/Changelog) for the details.
        
        ## Changes for v2.0
        
        `DetailedResponse` which contains the result, headers and HTTP status code is now the default response for all methods.
        
        ```python
        from ibm_watson import AssistantV1
        
        assistant = AssistantV1(
            username='xxx',
            password='yyy',
            url='<url_as_per_region>',
            version='2018-07-10')
        
        response = assistant.list_workspaces(headers={'Custom-Header': 'custom_value'})
        print(response.get_result())
        print(response.get_headers())
        print(response.get_status_code())
        ```
        
        See the [changelog](https://github.com/watson-developer-cloud/python-sdk/wiki/Changelog) for the details.
        
        ## Changes for v3.0
        
        The SDK is generated using OpenAPI Specification(OAS3). Changes are basic reordering of parameters in function calls.
        
        The package is renamed to ibm_watson. See the [changelog](https://github.com/watson-developer-cloud/python-sdk/wiki/Changelog) for the details.
        
        ## Changes for v4.0
        
        Authenticator variable indicates the type of authentication to be used.
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        authenticator = IAMAuthenticator('your apikey')
        assistant = AssistantV1(
            version='2018-07-10',
            authenticator=authenticator)
        assistant.set_service_url('<url as per region>')
        ```
        
        For more information, follow the [MIGRATION-V4](https://github.com/watson-developer-cloud/python-sdk/blob/master/MIGRATION-V4.md)
        
        ## Migration
        
        To move from v3.x to v4.0, refer to the [MIGRATION-V4](https://github.com/watson-developer-cloud/python-sdk/blob/master/MIGRATION-V4.md).
        
        ## Configuring the http client (Supported from v1.1.0)
        
        To set client configs like timeout use the `set_http_config()` function and pass it a dictionary of configs. See this [documentation](https://2.python-requests.org/en/master/api/#requests.request) for more information about the options. All options shown except `method`, `url`, `headers`, `params`, `data`, and `auth` are configurable via `set_http_config()`. For example for a Assistant service instance
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        authenticator = IAMAuthenticator('your apikey')
        assistant = AssistantV1(
            version='2021-11-27',
            authenticator=authenticator)
        assistant.set_service_url('https://api.us-south.assistant.watson.cloud.ibm.com')
        
        assistant.set_http_config({'timeout': 100})
        response = assistant.message(workspace_id=workspace_id, input={
            'text': 'What\'s the weather like?'}).get_result()
        print(json.dumps(response, indent=2))
        ```
        
        ### Use behind a corporate proxy
        
        To use the SDK with any proxies you may have they can be set as shown below. For documentation on proxies see [here](https://2.python-requests.org/en/latest/user/advanced/#proxies)
        
        See this example configuration:
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        authenticator = IAMAuthenticator('your apikey')
        assistant = AssistantV1(
            version='2021-11-27',
            authenticator=authenticator)
        assistant.set_service_url('https://api.us-south.assistant.watson.cloud.ibm.com')
        
        assistant.set_http_config({'proxies': {
          'http': 'http://10.10.1.10:3128',
          'https': 'http://10.10.1.10:1080',
        }})
        ```
        
        ### Sending custom certificates
        
        To send custom certificates as a security measure in your request, use the cert property of the HTTPS Agent.
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        authenticator = IAMAuthenticator('your apikey')
        assistant = AssistantV1(
            version='2021-11-27',
            authenticator=authenticator)
        assistant.set_service_url('https://api.us-south.assistant.watson.cloud.ibm.com')
        
        assistant.set_http_config({'cert': ('path_to_cert_file','path_to_key_file')})
        ```
        
        ## Disable SSL certificate verification
        
        For ICP(IBM Cloud Private), you can disable the SSL certificate verification by:
        
        ```python
        service.set_disable_ssl_verification(True)
        ```
        
        Or can set it from extrernal sources. For example set in the environment variable.
        
        ```
        export <service name>_DISABLE_SSL=True
        ```
        
        ## Setting the service url
        
        To set the base service to be used when contacting the service
        
        ```python
        service.set_service_url('my_new_service_url')
        ```
        
        Or can set it from extrernal sources. For example set in the environment variable.
        
        ```
        export <service name>_URL="<your url>"
        ```
        
        ## Sending request headers
        
        Custom headers can be passed in any request in the form of a `dict` as:
        
        ```python
        headers = {
            'Custom-Header': 'custom_value'
        }
        ```
        
        For example, to send a header called `Custom-Header` to a call in Watson Assistant, pass
        the headers parameter as:
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        authenticator = IAMAuthenticator('your apikey')
        assistant = AssistantV1(
            version='2018-07-10',
            authenticator=authenticator)
        assistant.set_service_url('https://gateway.watsonplatform.net/assistant/api')
        
        response = assistant.list_workspaces(headers={'Custom-Header': 'custom_value'}).get_result()
        ```
        
        ## Parsing HTTP response information
        
        If you would like access to some HTTP response information along with the response model, you can set the `set_detailed_response()` to `True`. Since Python SDK `v2.0`, it is set to `True`
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
        
        authenticator = IAMAuthenticator('your apikey')
        assistant = AssistantV1(
            version='2018-07-10',
            authenticator=authenticator)
        assistant.set_service_url('https://gateway.watsonplatform.net/assistant/api')
        
        assistant.set_detailed_response(True)
        response = assistant.list_workspaces(headers={'Custom-Header': 'custom_value'}).get_result()
        print(response)
        ```
        
        This would give an output of `DetailedResponse` having the structure:
        
        ```python
        {
            'result': <response returned by service>,
            'headers': { <http response headers> },
            'status_code': <http status code>
        }
        ```
        
        You can use the `get_result()`, `get_headers()` and get_status_code() to return the result, headers and status code respectively.
        
        ## Getting the transaction ID
        
        Every SDK call returns a response with a transaction ID in the `X-Global-Transaction-Id` header. Together the service instance region, this ID helps support teams troubleshoot issues from relevant logs.
        
        ### Suceess
        
        ```python
        from ibm_watson import AssistantV1
        
        service = AssistantV1(authenticator={my_authenticator})
        response_headers = service.my_service_call().get_headers()
        print(response_headers.get('X-Global-Transaction-Id'))
        ```
        
        ### Failure
        
        ```python
        from ibm_watson import AssistantV1, ApiException
        
        try:
            service = AssistantV1(authenticator={my_authenticator})
            service.my_service_call()
        except ApiException as e:
            print(e.global_transaction_id)
            # OR
            print(e.http_response.headers.get('X-Global-Transaction-Id'))
        ```
        
        However, the transaction ID isn't available when the API doesn't return a response for some reason. In that case, you can set your own transaction ID in the request. For example, replace `<my-unique-transaction-id>` in the following example with a unique transaction ID.
        
        ```python
        from ibm_watson import AssistantV1
        
        service = AssistantV1(authenticator={my_authenticator})
        service.my_service_call(headers={'X-Global-Transaction-Id': '<my-unique-transaction-id>'})
        ```
        
        ## Using Websockets
        
        The Text to Speech service supports synthesizing text to spoken audio using web sockets with the `synthesize_using_websocket`. The Speech to Text service supports recognizing speech to text using web sockets with the `recognize_using_websocket`. These methods need a custom callback class to listen to events. Below is an example of `synthesize_using_websocket`. Note: The service accepts one request per connection.
        
        ```py
        from ibm_watson.websocket import SynthesizeCallback
        
        class MySynthesizeCallback(SynthesizeCallback):
            def __init__(self):
                SynthesizeCallback.__init__(self)
        
            def on_audio_stream(self, audio_stream):
                return audio_stream
        
            def on_data(self, data):
                return data
        
        my_callback = MySynthesizeCallback()
        service.synthesize_using_websocket('I like to pet dogs',
                                           my_callback,
                                           accept='audio/wav',
                                           voice='en-US_AllisonVoice'
                                          )
        ```
        
        ## Cloud Pak for Data
        
        If your service instance is of CP4D, below are two ways of initializing the assistant service.
        
        ### 1) Supplying the username, password and authentication url
        
        The SDK will manage the token for the user
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import CloudPakForDataAuthenticator
        
        authenticator = CloudPakForDataAuthenticator(
            '<your username>',
            '<your password>',
            '<authentication url>', # should be of the form https://{icp_cluster_host}{instance-id}/api
            disable_ssl_verification=True) # Disable ssl verification for authenticator
        
        assistant = AssistantV1(
            version='<version>',
            authenticator=authenticator)
        assistant.set_service_url('<service url>') # should be of the form https://{icp_cluster_host}/{deployment}/assistant/{instance-id}/api
        assistant.set_disable_ssl_verification(True) # MAKE SURE SSL VERIFICATION IS DISABLED
        ```
        
        ### 2) Supplying the access token
        
        ```python
        from ibm_watson import AssistantV1
        from ibm_cloud_sdk_core.authenticators import BearerTokenAuthenticator
        
        authenticator = BearerTokenAuthenticator('your managed access token')
        assistant = AssistantV1(version='<version>',
                                authenticator=authenticator)
        assistant.set_service_url('<service url>') # should be of the form https://{icp_cluster_host}/{deployment}/assistant/{instance-id}/api
        assistant.set_disable_ssl_verification(True) # MAKE SURE SSL VERIFICATION IS DISABLED
        ```
        
        ## Logging
        
        ### Enable logging
        
        ```python
        import logging
        logging.basicConfig(level=logging.DEBUG)
        ```
        
        This would show output of the form:
        
        ```
        DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): iam.cloud.ibm.com:443
        DEBUG:urllib3.connectionpool:https://iam.cloud.ibm.com:443 "POST /identity/token HTTP/1.1" 200 1809
        DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): gateway.watsonplatform.net:443
        DEBUG:urllib3.connectionpool:https://gateway.watsonplatform.net:443 "POST /assistant/api/v1/workspaces?version=2018-07-10 HTTP/1.1" 201 None
        DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): gateway.watsonplatform.net:443
        DEBUG:urllib3.connectionpool:https://gateway.watsonplatform.net:443 "GET /assistant/api/v1/workspaces/883a2a44-eb5f-4b1a-96b0-32a90b475ea8?version=2018-07-10&export=true HTTP/1.1" 200 None
        DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): gateway.watsonplatform.net:443
        DEBUG:urllib3.connectionpool:https://gateway.watsonplatform.net:443 "DELETE /assistant/api/v1/workspaces/883a2a44-eb5f-4b1a-96b0-32a90b475ea8?version=2018-07-10 HTTP/1.1" 200 28
        ```
        
        ### Low level request and response dump
        
        To get low level information of the requests/ responses:
        
        ```python
        from http.client import HTTPConnection
        HTTPConnection.debuglevel = 1
        ```
        
        ## Dependencies
        
        - [requests]
        - `python_dateutil` >= 2.5.3
        - [responses] for testing
        - Following for web sockets support in speech to text
          - `websocket-client` 0.48.0
        - `ibm_cloud_sdk_core` == 1.0.0
        
        ## Contributing
        
        See [CONTRIBUTING.md][contributing].
        
        ## Featured Projects
        
        Here are some projects that have been using the SDK:
        
        - [NLC ICD-10 Classifier](https://github.com/IBM/nlc-icd10-classifier)
        - [Cognitive Moderator Service](https://github.com/IBM/cognitive-moderator-service)
        
        We'd love to highlight cool open-source projects that use this SDK! If you'd like to get your project added to the list, feel free to make an issue linking us to it.
        
        ## License
        
        This library is licensed under the [Apache 2.0 license][license].
        
        [wdc]: http://www.ibm.com/watson/developercloud/
        [ibm_cloud]: https://cloud.ibm.com/
        [watson-dashboard]: https://cloud.ibm.com/catalog?category=ai
        [responses]: https://github.com/getsentry/responses
        [requests]: http://docs.python-requests.org/en/latest/
        [examples]: https://github.com/watson-developer-cloud/python-sdk/tree/master/examples
        [contributing]: https://github.com/watson-developer-cloud/python-sdk/blob/master/CONTRIBUTING.md
        [license]: http://www.apache.org/licenses/LICENSE-2.0
        [vcap_services]: https://cloud.ibm.com/docs/watson?topic=watson-vcapServices
        [ibm-cloud-onboarding]: https://cloud.ibm.com/registration?target=/developer/watson&cm_sp=WatsonPlatform-WatsonServices-_-OnPageNavLink-IBMWatson_SDKs-_-Python
        
Keywords: language,vision,question and answer tone_analyzer,natural language classifier,text to speech,language translation,language identification,concept expansion,machine translation,personality insights,message resonance,watson developer cloud,wdc,watson,ibm,dialog,user modeling,tone analyzer,speech to text,visual recognition
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