reallignment

.gitignore

@@ -14,6 +14,7 @@ dist/
 *.egg-info/
 *.egg
 MANIFEST
+*.python-version
 
 docs/build/
 docs/source/_templates/
@@ -31,6 +32,5 @@ examples/graph_examples/ScrapeGraphAI_generated_graph
 examples/**/result.csv
 examples/**/result.json
 main.py
-*.python-version
-*.lock
+
 

CHANGELOG.md

@@ -1,3 +1,38 @@
+## [1.2.4](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.2.3...v1.2.4) (2024-05-17)
+
+
+### Bug Fixes
+
+* **deepcopy:** switch whether we have obj in the config ([d4d913c](https://github.com/VinciGit00/Scrapegraph-ai/commit/d4d913c8a360b907ebe1fbf3764e00b69783afe8))
+
+## [1.2.3](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.2.2...v1.2.3) (2024-05-15)
+
+
+### Bug Fixes
+
+* **deepcopy:** reaplced to shallow copy ([999c930](https://github.com/VinciGit00/Scrapegraph-ai/commit/999c930f424430a3d3d7ff604afbd2bf6d27c7ad))
+
+## [1.2.2](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.2.1...v1.2.2) (2024-05-15)
+
+
+### Bug Fixes
+
+* come back to the old version ([cc5adef](https://github.com/VinciGit00/Scrapegraph-ai/commit/cc5adefd29eb2d0d7127515c4a4a72eabbc7eaa8))
+
+## [1.2.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.2.0...v1.2.1) (2024-05-15)
+
+
+### Bug Fixes
+
+* removed unused ([5587a64](https://github.com/VinciGit00/Scrapegraph-ai/commit/5587a64d23451a6a216000fe83b2ce1cc8f7141b))
+
+## [1.2.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.1.0...v1.2.0) (2024-05-15)
+
+
+### Features
+
+* add finalize_node() ([6e7283e](https://github.com/VinciGit00/Scrapegraph-ai/commit/6e7283ed8fc42408d718e8776f9fd3856960ffdb))
+
 ## [1.1.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.0.1...v1.1.0) (2024-05-15)
 
 

README.md

@@ -7,7 +7,6 @@
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 [![](https://dcbadge.vercel.app/api/server/gkxQDAjfeX)](https://discord.gg/gkxQDAjfeX)
 
-
 ScrapeGraphAI is a *web scraping* python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, etc.).
 
 Just say which information you want to extract and the library will do it for you!

docs/source/getting_started/installation.rst

@@ -25,13 +25,11 @@ The library is available on PyPI, so it can be installed using the following com
 
    It is higly recommended to install the library in a virtual environment (conda, venv, etc.)
 
-If you clone the repository, you can install the library using `rye <https://rye-up.com/>`_. Follow the installation instruction from the website and then run:
+If your clone the repository, you can install the library using `poetry <https://python-poetry.org/docs/>`_:
 
 .. code-block:: bash
 
-   rye pin 3.10
-   rye sync
-   rye build
+   poetry install
 
 Additionally on Windows when using WSL
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^