Add converters to load dataframes from files

.pre-commit-config.yaml

@@ -20,16 +20,17 @@ repos:
     -   id: pyupgrade
         args: [--py38-plus]
 
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.4.9
-    hooks:
-      - id: ruff
-
   - repo: https://github.com/psf/black
     rev: 24.4.2
     hooks:
       - id: black
 
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.4.9
+    hooks:
+      - id: ruff
+        args: ["--fix"]
+
   - repo: https://github.com/nbQA-dev/nbQA
     rev: 1.8.5
     hooks:

README.md

@@ -17,12 +17,14 @@
 
 `dataframes-haystack` is an extension for [Haystack 2](https://docs.haystack.deepset.ai/docs/intro) that enables integration with dataframe libraries.
 
-The library offers custom [Converters](https://docs.haystack.deepset.ai/docs/converters) components that convert data stored in dataframes into Haystack [`Document`](https://docs.haystack.deepset.ai/docs/data-classes#document) objects.
-
 The dataframe libraries currently supported are:
 - [pandas](https://pandas.pydata.org/)
 - [Polars](https://pola.rs)
 
+The library offers various custom [Converters](https://docs.haystack.deepset.ai/docs/converters) components to transform dataframes into Haystack [`Document`](https://docs.haystack.deepset.ai/docs/data-classes#document) objects:
+- `FileToPandasDataFrame` and `FileToPolarsDataFrame` read files and convert them into dataframes.
+- `PandasDataFrameConverter` or `PolarsDataFrameConverter` convert data stored in dataframes into Haystack `Document`objects.
+
 ## 🛠️ Installation
 
 ```sh
@@ -40,6 +42,26 @@ pip install "dataframes-haystack[polars]"
 
 ### Pandas
 
+#### FileToPandasDataFrame
+
+```python
+from dataframes_haystack.components.converters.pandas import FileToPandasDataFrame
+
+converter = FileToPandasDataFrame(file_format="csv")
+
+output_dataframe = converter.run(
+    file_paths=["data/doc1.csv", "data/doc2.csv"]
+)
+```
+
+Result:
+```python
+>>> output_dataframe
+{'dataframe': <pandas.DataFrame>}
+```
+
+#### PandasDataFrameConverter
+
 ```python
 import pandas as pd
 
@@ -65,6 +87,26 @@ Result:
 
 ### Polars
 
+#### FileToPolarsDataFrame
+
+```python
+from dataframes_haystack.components.converters.polars import FileToPolarsDataFrame
+
+converter = FileToPolarsDataFrame(file_format="csv")
+
+output_dataframe = converter.run(
+    file_paths=["data/doc1.csv", "data/doc2.csv"]
+)
+```
+
+Result:
+```python
+>>> output_dataframe
+{'dataframe': <polars.DataFrame>}
+```
+
+#### PolarsDataFrameConverter
+
 ```python
 import polars as pl