You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@nifi.apache.org by ex...@apache.org on 2024/01/20 16:19:49 UTC

(nifi) 01/03: NIFI-12646 Set Python Processor version to 2.0.0-M2

This is an automated email from the ASF dual-hosted git repository.

exceptionfactory pushed a commit to branch NIFI-12646-RC1
in repository https://gitbox.apache.org/repos/asf/nifi.git

commit 7c0fae9877d055bcee6e9c4f091becc1a4def2ed
Author: exceptionfactory <ex...@apache.org>
AuthorDate: Fri Jan 19 19:12:04 2024 -0600

    NIFI-12646 Set Python Processor version to 2.0.0-M2
    
    Signed-off-by: David Handermann <ex...@apache.org>
---
 .../nifi-openai-module/src/main/python/PromptChatGPT.py                 | 2 +-
 .../nifi-text-embeddings-module/src/main/python/ChunkDocument.py        | 2 +-
 .../nifi-text-embeddings-module/src/main/python/ParseDocument.py        | 2 +-
 .../src/main/python/vectorstores/PutChroma.py                           | 2 +-
 .../src/main/python/vectorstores/PutPinecone.py                         | 2 +-
 .../src/main/python/vectorstores/QueryChroma.py                         | 2 +-
 .../src/main/python/vectorstores/QueryPinecone.py                       | 2 +-
 7 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py b/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py
index 5b8e3738fe..24bbd1f48e 100644
--- a/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py
+++ b/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py
@@ -30,7 +30,7 @@ class PromptChatGPT(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-SNAPSHOT'
+        version = '2.0.0-M2'
         description = "Submits a prompt to ChatGPT, writing the results either to a FlowFile attribute or to the contents of the FlowFile"
         tags = ["text", "chatgpt", "gpt", "machine learning", "ML", "artificial intelligence", "ai", "document", "langchain"]
         dependencies = ['langchain==0.0.331', 'openai==0.28.1', 'jsonpath-ng']
diff --git a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
index 9b6f38e69f..a5fde8622d 100644
--- a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
+++ b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
@@ -104,7 +104,7 @@ class ChunkDocument(FlowFileTransform):
     class Java:
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
     class ProcessorDetails:
-        version = '2.0.0-SNAPSHOT'
+        version = '2.0.0-M2'
         description = """Chunks incoming documents that are formatted as JSON Lines into chunks that are appropriately sized for creating Text Embeddings.
             The input is expected to be in "json-lines" format, with each line having a 'text' and a 'metadata' element.
             Each line will then be split into one or more lines in the output."""
diff --git a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
index 777f80e402..de646781b6 100644
--- a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
+++ b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
@@ -45,7 +45,7 @@ class ParseDocument(FlowFileTransform):
         implements = ["org.apache.nifi.python.processor.FlowFileTransform"]
 
     class ProcessorDetails:
-        version = "2.0.0-SNAPSHOT"
+        version = "2.0.0-M2"
         description = """Parses incoming unstructured text documents and performs optical character recognition (OCR) in order to extract text from PDF and image files.
             The output is formatted as "json-lines" with two keys: 'text' and 'metadata'.
             Note that use of this Processor may require significant storage space and RAM utilization due to third-party dependencies necessary for processing PDF and image files.
diff --git a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
index 4b792284f8..38208b52c1 100644
--- a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
+++ b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
@@ -26,7 +26,7 @@ class PutChroma(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-SNAPSHOT'
+        version = '2.0.0-M2'
         description = """Publishes JSON data to a Chroma VectorDB. The Incoming data must be in single JSON per Line format, each with two keys: 'text' and 'metadata'.
                        The text must be a string, while metadata must be a map with strings for values. Any additional fields will be ignored. If the collection name specified
                        does not exist, the Processor will automatically create the collection."""
diff --git a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
index 67abfa6b09..576865283f 100644
--- a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
+++ b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
@@ -52,7 +52,7 @@ class PutPinecone(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-SNAPSHOT'
+        version = '2.0.0-M2'
         description = """Publishes JSON data to Pinecone. The Incoming data must be in single JSON per Line format, each with two keys: 'text' and 'metadata'.
                        The text must be a string, while metadata must be a map with strings for values. Any additional fields will be ignored."""
         tags = ["pinecone", "vector", "vectordb", "vectorstore", "embeddings", "ai", "artificial intelligence", "ml", "machine learning", "text", "LLM"]
diff --git a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
index ee0b62ebe4..49446a4185 100644
--- a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
+++ b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
@@ -27,7 +27,7 @@ class QueryChroma(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-SNAPSHOT'
+        version = '2.0.0-M2'
         description = "Queries a Chroma Vector Database in order to gather a specified number of documents that are most closely related to the given query."
         tags = ["chroma", "vector", "vectordb", "embeddings", "enrich", "enrichment", "ai", "artificial intelligence", "ml", "machine learning", "text", "LLM"]
 
diff --git a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
index 28f6756fb8..0f1dcdc27a 100644
--- a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
+++ b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
@@ -27,7 +27,7 @@ class QueryPinecone(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-SNAPSHOT'
+        version = '2.0.0-M2'
         description = "Queries Pinecone in order to gather a specified number of documents that are most closely related to the given query."
         tags = ["pinecone", "vector", "vectordb", "vectorstore", "embeddings", "ai", "artificial intelligence", "ml", "machine learning", "text", "LLM"]