ccfx 1.0.5

This package simplifies regular common actions for quick prototyping in a user friendly way

ccfx

ccfx is a comprehensive Python package designed to streamline file and data management, geospatial analysis, NetCDF file processing, database interactions, document generation, and multimedia handling for rapid prototyping and development workflows.

Features

1. File Management:

   • List, delete, move, copy, and count files/directories.
   • Monitor file count over time.
   • Save, load, and manage Python variables via pickle serialization.
   • Compress directories to .7z archives.
   • Read/write text files with encoding support.
   • Download files from URLs with resume and multi-connection support.

2. Geospatial Data Processing:

   • Read, write, clip (by extent/feature), resample, reproject, merge, and rasterize raster data (GeoTIFF, NetCDF).
   • Read, write, and clip vector data (Shapefile, GeoPackage).
   • Create grids of polygons based on shapefile boundaries.
   • Convert coordinates between Coordinate Reference Systems (CRS).
   • Extract raster values at specific coordinates.
   • Convert point lists to GeoDataFrames.
   • Get vector layer bounds.

3. NetCDF File Handling:

   • List variables and dimensions.
   • Export NetCDF variables to GeoTIFF format (single or multiple bands).
   • Calculate sum and average maps from NetCDF data across multiple files.
   • Rename variables using CDO (if available).

4. Database Connectivity:

   • MS SQL Server: Connect, list databases/tables, read tables (including spatial data into GeoDataFrames), write DataFrames/GeoDataFrames to tables, drop tables.
   • SQLite: Connect, create/rename/drop tables, read tables (as dict, specific columns), insert data (rows, dicts, partial dicts), update values, dump tables to CSV.

5. Document & Spreadsheet Handling:

   • Excel: Create .xlsx files, add sheets, write data (including dates), set column widths, add scatter plot charts.
   • Word: Create .docx files, add headings, paragraphs (with alignment), list items, formatted text (bold/italic), images, page breaks, set margins.

6. Multimedia & Web:

   • Read and write MP3 metadata (ID3 tags), including album art.
   • Download videos/audio from YouTube using yt-dlp.

7. Data Analysis & Utilities:

   • Calculate timeseries statistics (NSE, KGE, PBIAS, LNSE, R2, RMSE, MAE, MSE, MAPE, alpha, beta) with resampling options.
   • Display dynamic progress bars.
   • Check system platform information.
   • Enable or disable warnings programmatically.
   • Set the working directory.

Installation

Install ccfx via pip:

pip install ccfx

Dependencies

ccfx relies on the following libraries:

• gdal: For geospatial raster and vector data manipulation.
• numpy: For array processing and numerical operations.
• pandas: For data manipulation and analysis.
• geopandas: Extends pandas to handle geospatial vector data.
• shapely: Provides geometric objects and operations.
• netCDF4: For working with NetCDF files.
• xlsxwriter: For creating and writing Excel .xlsx files.
• python-docx: Enables creation and manipulation of Word .docx documents.
• pyodbc: Enables connectivity to databases through ODBC (e.g., MS SQL Server).
• sqlalchemy: Provides SQL toolkit and ORM features for database access (used with MS SQL).
• py7zr: For creating .7z archives.
• mutagen: For reading and writing MP3 metadata (ID3 tags).
• requests: For downloading files via HTTP.
• tqdm: For displaying progress bars.
• yt-dlp: For downloading YouTube content.
• matplotlib (Optional, often used with geospatial/data analysis): For plotting.

These dependencies should be installed automatically when ccfx is installed via pip, but GDAL might require manual installation steps depending on your OS.

API Reference (Selected Functions)

File Management (ccfx.py)

• listFiles(path: str, ext: str = None) -> list: Lists files in a directory, optionally filtering by extension.
• deleteFile(filePath: str, v: bool = False) -> bool: Deletes a specified file.
• deletePath(path: str, v: bool = False) -> bool: Deletes a directory and its contents.
• createPath(pathName, v = False): Creates a directory path if it doesn't exist.
• copyFile(source: str, destination: str, v: bool = True): Copies a single file.
• copyDirectory(source: str, destination: str, recursive=True, v=True, filter=[]): Copies a directory's contents.
• moveDirectoryFiles(srcDir: str, destDir: str, v: bool = False) -> bool: Moves files and subdirectories from source to destination.
• pythonVariable(filename, option, variable=None): Saves ('dump') or loads ('load') Python variables using pickle.
• compressTo7z(input_dir: str, output_file: str): Compresses a directory into a .7z file.
• downloadFile(url, save_path, exists_action='resume', num_connections=5, v=False): Downloads a file from a URL with advanced options.
• listAllFiles(folder, extension="*"): Recursively lists all files in a folder and its subfolders.

Geospatial (ccfx.py)

• createGrid(shapefile_path: str, resolution: float, useDegree: bool = True) -> tuple: Generates a grid of polygons based on a shapefile extent.
• clipRasterByExtent(inFile: str, outFile: str, bounds: tuple) -> str: Clips a raster using bounding box coordinates.
• clipVectorByExtent(inFile: str, outFile: str, bounds: tuple) -> str: Clips a vector file using bounding box coordinates.
• clipFeatures(inputFeaturePath:str, boundaryFeature:str, outputFeature:str, keepOnlyTypes = None, v = False) -> geopandas.GeoDataFrame: Clips input features by a boundary feature.
• resampleRaster(inFile:str, outFile:str, resolution:float, dstSRS = None, resamplingMethod = 'bilinear', replaceOutput:bool = True, v:bool = True) -> str: Resamples a raster to a new resolution and optionally CRS.
• reprojectRaster(inFile: str, outFile: str, dstProjection: str, resamplingMethod: str = 'mode') -> str: Reprojects a raster to a new CRS.
• mergeRasterTiles(tileList:list, outFile:str) -> str: Merges multiple raster files into one.
• rasterizeRaster(inFile: str, outFile: str, targetField: str, targetResolution: float) -> str: Rasterizes a vector layer based on an attribute field.
• extractRasterValue(rasterPath: str, lat: float, lon: float, coordProj: str = 'EPSG:4326') -> float: Extracts the raster value at a specific point.
• convertCoordinates(lon, lat, srcEPSG, dstCRS) -> tuple: Converts coordinates between CRSs.
• tiffWriteArray(array: numpy.ndarray, outputFile: str, geoTransform: tuple, projection: str, noData:float = None, v:bool = False) -> gdal.Dataset: Writes a NumPy array to a GeoTIFF file.
• pointsToGeodataframe(point_pairs_list, columns = ['latitude', 'longitude'], auth = "EPSG", code = '4326', out_shape = '', format = 'gpkg', v = False, get_geometry_only = False): Converts a list of point coordinates to a GeoDataFrame.

NetCDF (ccfx.py)

• netcdfVariablesList(ncFile: str) -> list: Lists variables in a NetCDF file.
• netcdfVariableDimensions(ncFile: str, variable: str) -> dict: Gets dimensions and their sizes for a NetCDF variable.
• netcdfExportTif(ncFile: str, variable: str, outputFile: str = None, band: int = None, v:bool = True) -> gdal.Dataset: Exports a NetCDF variable (optionally a specific band) to GeoTIFF.
• netcdfAverageMap(ncFiles:list, variable:str, band:int = 1) -> numpy.ndarray: Calculates the average map from a variable across multiple NetCDF files.
• netcdfSumMaps(ncFiles:list, variable:str, band:int = 1) -> numpy.ndarray: Calculates the sum map from a variable across multiple NetCDF files.
• renameNetCDFvariable(input_file: str, output_file: str, old_var_name: str, new_var_name: str, v = False): Renames a variable in a NetCDF file using CDO.

Database (mssqlConnection.py, sqliteConnection.py)

• mssql_connection(server, username, password, driver, ...): Class for MS SQL Server interactions.
  • connect(), listDatabases(), listTables(), readTable(), connectDB(), dataframeToSql(), dropTable(), close()
• sqliteConnection(sqlite_database, connect=False): Class for SQLite interactions.
  • connect(), createTable(), renameTable(), deleteTable(), readTableAsDict(), insertDict(), insertRow(), updateValue(), dumpCSV(), commitChanges(), closeConnection()

Document/Spreadsheet (word.py, excel.py)

• word_document(path): Class for creating Word documents.
  • addHeading(), addParagraph(), addListItem(), addText(), addImage(), addPageBreak(), setMargins(), save()
• excel(path): Class for creating Excel spreadsheets.
  • create(), addSheet(), write(), writeDate(), setColumnWidth(), addFigure(), writeColumn(), save(), open()

Multimedia & Web (ccfx.py)

• getMp3Metadata(fn, imagePath=None): Extracts ID3 metadata from an MP3 file.
• setMp3Metadata(fn, metadata, imagePath=None): Writes ID3 metadata (including album art) to an MP3 file.
• downloadYoutubeVideo(url: str, dstDir: str, audioOnly: bool = False, dstFileName: Optional[str] = None ) -> str: Downloads video or audio from a YouTube URL.

Data Analysis & Utilities (ccfx.py)

• calculateTimeseriesStats(data:pandas.DataFrame, observed:str = None, simulated:str = None, resample:str = None ) -> dict: Calculates various statistics between observed and simulated timeseries. (Wrappers like getNSE, getKGE, etc., are also available).
• progressBar(count, total, message=""): Displays a simple console progress bar.
• showProgress(count: int, end: int, message: str, barLength: int = 100): Displays a more detailed console progress bar.
• ignoreWarnings(ignore:bool = True, v:bool = False): Suppresses or enables Python warnings.

Contributing

Contributions are welcome! Please fork the repository, make your changes, and submit a pull request. Ensure code is well-documented and includes tests where applicable.

License

This project is licensed under the MIT License. See the LICENSE file for details.