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GEOCODER

Package created by safe | Official | 4 | 8164 | Updated on Jun 4, 2024

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Convert addresses to coordinates, or vice versa.

TELEGRAMCONNECTOR

Transformer created by genegis-gi | Community | 1 | 3 | Updated on Jun 4, 2024

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Telegram Message sender: this transformer sends messages (attribute text or
images) to chats. Previously you need to create a Telegram Bot and get the
Token. Developed by Genegis GI s.r.l.

GOOGLEGEMINICONNECTOR

Transformer created by safe-sandbox | Community | 0 | 18 | Updated on May 30,
2024

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Google Gemini Service Connector Overview The Google Gemini Service Connector is
a Custom Transformer for FME that facilitates interaction with Google's Vertex
AI Gemini Model via REST API. This transformer allows users to leverage the
advanced capabilities of Gemini, Google's large language model, to generate
text-based outputs by providing specific prompts and configuring various
parameters. This enables a broad range of applications, from content generation
to data enrichment across different industries. For more information, please see
the Gemini API documentation. Note: by default, this transformer is configured
to use the Auto Updated Gemini model.

DATABRICKS WRITER

Package created by safe | Official | 0 | 155 | Updated on May 30, 2024

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Databricks Writer for Delta tables using the REST API

COLORSURFACE

Transformer created by kevs-2021 | Community | 0 | 4 | Updated on May 25, 2024

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Colors surfaces, 3D objects and faces from a RGB or RGBA value. It is an
improved version of the SurfaceColorSetter.

RESOLVEDDOMAINPOPULATOR

Transformer created by geospatialize | Community | 0 | 3 | Updated on May 21,
2024

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Overview Custom transformer designed to address a common issue when working with
resolved domain columns in FME. When a reader is set to resolve domains, but the
coded value is not found in the corresponding domain, the "_resolved" field is
populated as null or an empty string. This can lead to inconsistencies and
require manual intervention to handle the null or empty values. The
ResolvedDomainPopulator automatically populates these null or empty values in
the "_resolved" columns with the corresponding values from the original columns.
If both the original and resolved values are null or empty, it populates the
"_resolved" column with the string "". It ensures data consistency and
eliminates the need for additional transformers or manual effort to handle the
null or empty values. However, it is important to note that this transformer
assumes that all resolvable domains have been properly resolved before its
application. It does not perform the actual resolution process itself. To
maintain data integrity, ensure that the domain resolution process is completed
using appropriate transformers or methods before applying the
ResolvedDomainPopulator. It's important to note that the ResolvedDomainPopulator
transformer does not add or remove any attributes or features. It only modifies
the existing "_resolved" columns based on the corresponding original column
values. Output The ResolvedDomainPopulator transformer modifies the input
features and outputs the modified features with the following changes
dynamically: Null or empty values in the "_resolved" columns are populated with
the corresponding values from the original columns. If the original column value
is not null or empty, it will be used to populate the null or empty value in the
corresponding "_resolved" column. If both the original column value and the
"_resolved" column value are null or empty, the "_resolved" column will be
populated with the string "". Features without "_resolved" columns or features
where the "_resolved" columns already have non-null and non-empty values are
passed through unchanged. The output features will have the same schema as the
input features, with the updated values in the "_resolved" columns where
applicable. All other attributes and geometry of the features remain unmodified.
Usage Add the ResolvedDomainPopulator custom transformer to your FME workspace.
In the reader settings for the Esri ArcGIS Portal Feature Service data, make
sure to enable the resolution of domain values. This can typically be done by
setting the "Resolve Domains" or "Resolve Coded Values" option to "Yes" or
checking the corresponding checkbox. Connect the reader feature type containing
the Esri ArcGIS Portal Feature Service data to a transformer that resolves the
assetgroup and other important domain values. For example: Use an
AttributeRenamer transformer to rename the "arcgisonline_subtype_name" attribute
to "assetgroup" to resolve the asset group domain values. Connect the output of
the transformer used in step 3 to the ResolvedDomainPopulator custom
transformer. Connect the output of the ResolvedDomainPopulator custom
transformer to the desired writer (e.g., file geodatabase or ArcSDE
geodatabase). Run the workspace.

GOOGLEGEMINIVISIONCONNECTOR

Transformer created by tensing | Verified | 0 | 5 | Updated on May 20, 2024

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Overview This transformer works with the Google AI and its Gemini multi-modal
models the support image analysis. This enables FME to pass images to the Gemini
models and respond with text. An API Key is required via
https://aistudio.google.com/app/apikey, currently Google is not charging for API
calls to the two models! More information about the model, including
limitations: https://ai.google.dev/gemini-api/docs Currently this transformer
supports JPG, JPEG and PNG file formats of up to 5MB in size but of any
dimensions. This is a ‘no cost’ Publisher Tensing License: It has no license
restrictions. If you have any questions regarding this transformer please email
uk@avineon-tensing.com Tensing is a partner of Safe Software and a Value Added
Reseller, with over 80 FME Certified Professionals and FME Certified Trainers in
the Netherlands, UK, France, Belgium, US and India. Tensing provides bespoke
training services, consultancy and technical support for both FME Form and FME
Flow. To find out more about our FME capability visit www.tensing.com or email
info@tensing.com.

OPENAICHATGPTCONNECTOR

Transformer created by safe-lab | Community | 2 | 1033 | Updated on May 15, 2024

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Overview This transformer works with either the OpenAI Service or the Azure
OpenAI service. OpenAI is an AI research and deployment company. Our mission is
to ensure that artificial general intelligence benefits all of humanity. An API
Key is required - sign up here. After signing up, you can create and access your
OpenAI API key here. Chat Given a chat conversation, the model will return a
chat completion response. See the OpenAI Chat API reference for more details.
This transformer uses the gpt-4 model by default but users can manually type in
model names. Output The output feature(s) will provide the raw JSON in the
_response_body attribute along with the flattened response in the MessageContent
attribute. See the Getting Started with JSON tutorials for more information on
flattening/fragmenting JSON attributes.

OPENAICOMPLETIONSCONNECTOR

Transformer created by safe-lab | Community | 2 | 681 | Updated on May 15, 2024

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Overview This transformer works with either the OpenAI Service or the Azure
OpenAI service. OpenAI is an AI research and deployment company. Our mission is
to ensure that artificial general intelligence benefits all of humanity. An API
Key is required - sign up here. After signing up, you can create and access your
OpenAI API key here. Click here to see an example of the
OpenAICompletionsConnector in action. Completions Given a prompt, the model will
return one or more predicted completions, and can also return the probabilities
of alternative tokens at each position. See the OpenAI Completions API reference
for more details. Output The output feature(s) will provide the raw JSON in the
response_body attribute. The OpenAICompletionsConnector will also expose the
_choices array (i.e. choices{}.text) as list elements. If the model does not
provide a choices array, you will need to flatten/fragment the raw JSON and
expose attributes. See the Getting Started with JSON tutorials for more
information.

STAC

Package created by safe | Official | 1 | 108 | Updated on May 14, 2024

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Integration with STAC.
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