add nuclio components (to build/deploy, delete, invoke functions) (#1295

)

* add support for flexible config (via env var) for the pipline service and UI, fix broken links (pointed to API vs UI service)

* add namespace and change address to endpoint

components/nuclio/README.md

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+# Nuclio (Serverless) Components
+
+[Nuclio](https://nuclio.io/) is a native and high performance serverless platform over Kubernetes
+which automate the process of build, deployment, monitoring, and auto-scaling of micro-services.
+Nuclio support variety of data and data-science related features (e.g. stream processing, 
+GPUs, volume/DB mounts, high concurrency, etc.)
+
+To install Nuclio over Kubernetes follow the [instruction in Github](https://github.com/nuclio/nuclio), 
+or this [interactive tutorial](https://www.katacoda.com/javajon/courses/kubernetes-serverless/nuclio).
+
+Nuclio functions can be used in the following ML pipline tasks:
+* Data collectors, ETL, stream processing
+* Data preparation and analysis
+* Hyper parameter model training
+* Real-time model serving
+* Feature vector assembly (real-time data preparation)
+
+Read more on the use of Nuclio in [data-science here](https://towardsdatascience.com/serverless-can-it-simplify-data-science-projects-8821369bf3bd).
+Nuclio functions can be generated automatically from 8 code languages, from Jupyter Notebooks, Zip, Git, Docker, etc.
+The [nuclio-jupyter repo](https://github.com/nuclio/nuclio-jupyter) provide guidance and many examples.
+
+## Components 
+
+There are currently 3 components in this package:
+* [deploy](deploy/component.yaml) - Automatically build and deploy/re-deploy functions
+  from code/zip/notebooks/git/.. and/or override various deployment configurations such as
+  setting cpu/mem/gpu resources, scaling, environment variables, triggers, etc.
+* [delete](delete/component.yaml) - Delete a function
+* [invoker](invoker/component.yaml) - invoke a function and return the results/logs
+
+Additional components and examples will be added soon for parallel batch/stream processing    
+
+## Examples
+
+**Deploy a function (from Github)**
+
+```python
+nuclio_dep = kfp.components.load_component_from_file('deploy/component.yaml')
+
+def my_pipeline():
+    new_func = nuclio_dep(url='git://github.com/nuclio/nuclio#master:/hack/examples/python/helloworld', name='myfunc', project='myproj', tag='0.11') 
+
+    ...
+```

components/nuclio/delete/component.yaml

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+name: nuclio delete
+description: delete a nuclio function.
+inputs:
+  - {name: Name, type: String, description: 'function name'}
+  - {name: Namespace, type: String, description: 'Kubernetes namespace', default: ''}
+  - {name: Dashboard, type: String, description: 'nuclio dashboard service url', default: 'http://nuclio-dashboard.nuclio:8070'}
+implementation:
+  container:
+    image: nuclio/pydeploy
+    command: [
+      python, -m, nuclio, del, {inputValue: Name},
+      --dashboard-url, {inputValue: Dashboard},
+      --namespace, {inputValue: Namespace},
+    ]

components/nuclio/deploy/component.yaml

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+name: nuclio deploy
+description: auto build and deploy nuclio function.
+inputs:
+  - {name: Url, type: String, description: 'url/path to source code, zip archive, git path, or notebook'}
+  - {name: Name, type: String, description: 'function name'}
+  - {name: Project, type: String, description: 'project name', default: 'default'}
+  - {name: Tag, type: String, description: 'function version tag', default: ''}
+  - {name: Dashboard, type: String, description: 'nuclio dashboard service url', default: 'http://nuclio-dashboard.nuclio:8070'}
+  - {name: Spec, type: String, description: 'override function spec, Json {key: value, ..}', default: ''}
+  - {name: Env, type: String, description: 'override function env var, Json {key: value, ..}', default: ''}
+  - {name: Mount, type: String, description: 'volume mount, [vol-type:]<vol-url>:<dst-path>', default: ''}
+outputs:
+  - {name: Endpoint, type: String, description: 'function endpoint url'}
+implementation:
+  container:
+    image: nuclio/pydeploy
+    command: [
+      python, -m, nuclio, deploy, {inputValue: Url},
+      --dashboard-url, {inputValue: Dashboard},
+      --name, {inputValue: Name},
+      --project, {inputValue: Project},
+      --tag, {inputValue: Tag},
+      --env-json, {inputValue: Env},
+      --spec-json, {inputValue: Spec},
+      --mount, {inputValue: Mount},
+    ]
+    fileOutputs:
+      Endpoint: /tmp/output

components/nuclio/invoker/component.yaml

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+name: nuclio invoker
+description: invoke nuclio function.
+inputs:
+  - {name: Url, type: String, description: 'function URL/endpoint'}
+  - {name: Body, type: String, description: 'request body', default: ''}
+  - {name: Log level, type: String, description: 'log level', default: 'info'}
+  - {name: Method, type: String, description: 'HTTP method GET|POST|..', default: ''}
+outputs:
+  - {name: output, type: String, description: 'function output'}
+implementation:
+  container:
+    image: nuclio/invoker
+    command: [
+      invoke,
+      -a, {inputValue: Url},
+      -b, {inputValue: Body},
+      -m, {inputValue: Method},
+      -l, {inputValue: Log level},
+    ]
+    fileOutputs:
+      output: /tmp/output