From 9febef052365c50edb38523ab1e6df39fb21f2b4 Mon Sep 17 00:00:00 2001
From: dusvyat <13661123+dusvyat@users.noreply.github.com>
Date: Thu, 13 Jul 2023 13:06:20 +0100
Subject: [PATCH] adding module for embeddings dataprocessing

---
 dataprep_ml/embeddings.py |   92 +++
 poetry.lock               | 1182 ++++++++++++++++++++++++++++++++++---
 pyproject.toml            |    4 +-
 3 files changed, 1190 insertions(+), 88 deletions(-)
 create mode 100644 dataprep_ml/embeddings.py

diff --git a/dataprep_ml/embeddings.py b/dataprep_ml/embeddings.py
new file mode 100644
index 0000000..649deac
--- /dev/null
+++ b/dataprep_ml/embeddings.py
@@ -0,0 +1,92 @@
+from functools import lru_cache
+from typing import List, Union
+
+import pandas as pd
+import torch
+from langchain.document_loaders import DataFrameLoader
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.schema import Document
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+
+from dataprep_ml.helpers import log
+
+class DfLoader(DataFrameLoader):
+
+    """
+    override the load method of langchain.document_loaders.DataFrameLoaders to ignore rows with 'None' values
+    """
+
+    def __init__(self, data_frame: pd.DataFrame, page_content_column: str):
+        super().__init__(data_frame=data_frame, page_content_column=page_content_column)
+        self._data_frame = data_frame
+        self._page_content_column = page_content_column
+
+    def load(self) -> List[Document]:
+        """Loads the dataframe as a list of documents"""
+        documents = []
+        for n_row, frame in self._data_frame[self._page_content_column].iteritems():
+            if pd.notnull(frame):
+                # ignore rows with None values
+                column_name = self._page_content_column
+
+                document_contents = frame
+
+                documents.append(
+                    Document(
+                        page_content=document_contents,
+                        metadata={
+                            "source": "dataframe",
+                            "row": n_row,
+                            "column": column_name,
+                        },
+                    )
+                )
+        return documents
+
+
+def df_to_documents(
+    df: pd.DataFrame, page_content_columns: Union[List[str], str]
+) -> List[Document]:
+    """Converts a given dataframe to a list of documents"""
+    documents = []
+
+    if isinstance(page_content_columns, str):
+        page_content_columns = [page_content_columns]
+
+    for _, page_content_column in enumerate(page_content_columns):
+        if page_content_column not in df.columns.tolist():
+            raise ValueError(
+                f"page_content_column {page_content_column} not in dataframe columns"
+            )
+
+        loader = DfLoader(data_frame=df, page_content_column=page_content_column)
+        documents.extend(loader.load())
+
+    return documents
+
+
+def split_documents(df, columns):
+    # Load documents and split in chunks
+    log.info(f"Loading documents from input data")
+
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=50)
+    documents = df_to_documents(df=df, page_content_columns=columns)
+    texts = text_splitter.split_documents(documents)
+    log.info(f"Loaded {len(documents)} documents from input data")
+    log.info(f"Split into {len(texts)} chunks of text (max. 500 tokens each)")
+
+    return texts
+
+
+@lru_cache()
+def load_embeddings_model(embeddings_model_name):
+    try:
+        model_kwargs = {"device": "gpu" if torch.cuda.is_available() else "cpu"}
+        embedding_model = HuggingFaceEmbeddings(
+            model_name=embeddings_model_name, model_kwargs=model_kwargs
+        )
+    except ValueError:
+        raise ValueError(
+            f"The {embeddings_model_name}  is not supported, please select a valid option from Hugging Face Hub!"
+        )
+    return embedding_model
diff --git a/poetry.lock b/poetry.lock
index 5339e4c..04a29a6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,15 +1,260 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.8.4"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.6"
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+]
 
 [[package]]
 name = "click"
-version = "8.1.3"
+version = "8.1.4"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
+    {file = "click-8.1.4-py3-none-any.whl", hash = "sha256:2739815aaa5d2c986a88f1e9230c55e17f0caad3d958a5e13ad0797c166db9e3"},
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 ]
 
 [package.dependencies]
@@ -19,7 +264,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -31,7 +275,6 @@ files = [
 name = "colorlog"
 version = "6.7.0"
 description = "Add colours to the output of Python's logging module."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -47,14 +290,13 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.5.8"
+version = "0.5.9"
 description = "Easily serialize dataclasses to and from JSON"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -63,28 +305,195 @@ marshmallow-enum = ">=1.5.1,<2.0.0"
 typing-inspect = ">=0.4.0"
 
 [package.extras]
-dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=7.2.0)", "simplejson", "types-dataclasses"]
+dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=7.2.0)", "setuptools", "simplejson", "twine", "types-dataclasses", "wheel"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.1"
+version = "1.1.2"
 description = "Backport of PEP 654 (exception groups)"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
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+version = "3.12.2"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.7"
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+testing = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
+
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+version = "1.4.0"
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+optional = false
+python-versions = ">=3.8"
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 python-versions = "*"
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 optional = false
 python-versions = ">=3.7"
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 version = "1.5.1"
 description = "Enum field for Marshmallow"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -154,11 +690,110 @@ files = [
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 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
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 description = "Fundamental package for array computing in Python"
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 optional = false
 python-versions = ">=3.8"
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 version = "23.1"
 description = "Core utilities for Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 description = "Powerful data structures for data analysis, time series, and statistics"
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 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -387,7 +1089,6 @@ email = ["email-validator (>=1.0.3)"]
 name = "pydateinfer"
 version = "0.3.0"
 description = "Infers date format from examples"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -401,7 +1102,6 @@ pytz = "*"
 name = "pytest"
 version = "7.4.0"
 description = "pytest: simple powerful testing with Python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -424,7 +1124,6 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 name = "python-dateutil"
 version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
@@ -439,7 +1138,6 @@ six = ">=1.5"
 name = "pytz"
 version = "2023.3"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -447,11 +1145,59 @@ files = [
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 ]
 
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+optional = false
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+]
+
 [[package]]
 name = "regex"
 version = "2023.6.3"
 description = "Alternative regular expression module, to replace re."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -545,11 +1291,31 @@ files = [
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 ]
 
+[[package]]
+name = "requests"
+version = "2.31.0"
+description = "Python HTTP for Humans."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<3"
+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
 [[package]]
 name = "scipy"
 version = "1.10.1"
 description = "Fundamental algorithms for scientific computing in Python"
-category = "main"
 optional = false
 python-versions = "<3.12,>=3.8"
 files = [
@@ -588,7 +1354,6 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo
 name = "six"
 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -596,11 +1361,116 @@ files = [
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 ]
 
+[[package]]
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+python-versions = ">=3.7"
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 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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 python-versions = ">=3.7"
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 description = "Fast, Extensible Progress Meter"
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 python-versions = ">=3.7"
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 python-versions = ">=3.7,<3.10"
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@@ -667,21 +1573,19 @@ toml = ">=0.10.2,<0.11.0"
 
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 python-versions = "*"
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 typing-extensions = ">=3.7.4"
 
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+    {file = "yarl-1.9.2.tar.gz", hash = "sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.8,<3.10"
-content-hash = "cb959b3461cddad18c2fc15cc0b482fd484adeda2850007da61eaa5b86accdcd"
+python-versions = ">=3.8.1,<3.10"
+content-hash = "239b3970f0bafc8e76a6e484e2886c71b937f6fb5752bf77446387ac5283fc3b"
diff --git a/pyproject.toml b/pyproject.toml
index cfc1194..71ab848 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ readme = "README.md"
 packages = [{include = "dataprep_ml"}]
 
 [tool.poetry.dependencies]
-python = ">=3.7,<3.10"
+python = ">=3.8.1,<3.10"
 numpy = "^1"
 pandas = "^1"
 pydateinfer = "0.3.0"
@@ -18,6 +18,8 @@ type-infer = ">=0.0.7"
 dataclasses-json = "^0.5.4"
 colorlog = "^6.5.0"
 pydantic = "^1.10.9"
+langchain = "^0.0.231"
+torch = "^2.0.1"
 
 [tool.poetry.dev-dependencies]
 pytest = "^7.4.0"