文件列表:

Installer/ (0, 2023-11-21)
Installer/installer.bat (31, 2023-11-21)
Installer/requirements.txt (32, 2023-11-21)
OFChecker.py (4816, 2023-11-21)
Templates/ (0, 2023-11-21)
Templates/IMG_0505.png (71191, 2023-11-21)
Templates/c1.PNG (34984, 2023-11-21)
Templates/c2.PNG (52144, 2023-11-21)
Templates/index.html (33342, 2023-11-21)
Templates/logo.png (18853, 2023-11-21)
Templates/logo_ldcs-removebg-preview.ico (7886, 2023-11-21)
Templates/style.css (1927, 2023-11-21)
patterns.txt (200, 2023-11-21)

# LDCS - OpenFields Checker  LDCS - OpenFields Checker is a Python web application built with Flask that allows you to check the similarity of elements in a CSV file to a specific pattern using the Jaro-Winkler similarity metric. This documentation provides information on how to install and use the program. ## Installation ### Requirements Before installing the program, make sure you have the following prerequisites: - Python 3.10 or higher installed on your system. - `pip` (Python package manager) installed. ### Installation Steps / Windows With Git : 1. **Clone the Repository**: ```bash git clone https://github.com/Nickyyrl/LDCS---OFChecker ``` Or > download last version : [LDCS-OFChecker](https://github.com/Nickyyrl/LDCS---OFChecker) 2. Unzip Folder 3. install requierements.txt by clicking on installer.bat ## Usage / Utilisation ### Dashboard The main dashboard of the application allows you to perform the following actions: - **Load Patterns / Charger des motifs**: - Load predefined patterns from the patterns.txt file. - **Set Pattern / Définir un motif**: - Set a new pattern or select an existing one. - **Set Tolerance / Définir une tolérance**: - Set a similarity tolerance level for pattern matching. - **Upload a CSV File / Télécharger un fichier CSV**: - Upload a CSV file for similarity analysis. - **Reset Tool / Réinitialiser l'outil**: - Reset the tool's statistics and results. ### Results After uploading a CSV file and initiating the analysis, you will see the following information on the dashboard: - **Elements Tested / léments testés**: - The total number of elements in the CSV file that were analyzed. - **Last Element / Dernier élément**: - The most recent element that was analyzed. - **Last Score / Dernier score**: - The Jaro-Winkler similarity score of the last analyzed element. - **Average Score / Score moyen**: - The average Jaro-Winkler similarity score of all analyzed elements. - **Valid Count / Compteur valide**: - The number of elements with a similarity score higher than or equal to the set tolerance. - **Invalid Count / Compteur invalide**: - The number of elements with a similarity score lower than the set tolerance. ### Export Results You can export the analysis results to a CSV file by clicking the "Export Results" button. The exported CSV file will contain a list of all elements and their similarity scores. ## Patterns Patterns are used for similarity analysis. You can load predefined patterns from the patterns.txt file or set new patterns through the application. ## Saving Patterns If you want to save patterns for future use, you can manually add them to the patterns.txt file in the following format: ```plaintext Pattern Name 1 : Pattern Pattern Name 2 : Pattern Pattern Name 3 : Pattern ... ``` Each pattern should be on a separate line. ### Conclusion LDCS - OpenFields Checker is a powerful tool for analyzing the similarity of elements in a CSV file to specific patterns. It can be useful for various data analysis and validation tasks. ### Next Features : - Pattern Addition Inside the tool - Sorting By Name and Score : OK - Confettis ### Screenshots : #### Global View :  #### Settings View :  #### DarkMode View :  wb

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