Upload to snapcraft store (#5)

* Add snapcraft.yaml and update .gitignore

Added a new snapcraft.yaml file to enable Snap packaging of the CC2P tool. The .gitignore file has been updated to ignore snap packaging artifact files (*.snap). This allows for efficient conversion of CSV files to parquet format with the added utility of Snap packaging.

* Change strip setting and make functions public

This commit changes debug info stripping configuration to true in Cargo.toml, for optimized binary size. Simultaneously, it also changes the functions `delete_if_exist` and `remove_deduplicate_columns` to be publicly accessible, for external use. Lastly, the argument name for `clean_column_name` function has been changed from 's' to 'column_name' for clarity.

* Update package version and add snap support

The package version was updated to '0.2.5' in both Cargo.toml and snapcraft.yaml files. In addition, the snap package's confinement mode has been changed from 'devmode' to 'strict' and the grade from 'devel' to 'stable', indicating that the package has moved to a stable release.

* Update .gitignore and snapcraft.yaml files

Updated the .gitignore to ignore certain txt files and added the project website and architecture details in the snapcraft.yaml file. This will help avoid unnecessary tracked files in git and provides more information about the project and its build in the snapcraft file.

* Update .gitignore and snapcraft.yaml files

Updated the .gitignore to ignore certain txt files and added the project website and architecture details in the snapcraft.yaml file. This will help avoid unnecessary tracked files in git and provides more information about the project and its build in the snapcraft file.

.gitignore

@@ -8,3 +8,5 @@ tmp/
 target/
 .DS_Store
 testdata/*.parquet
+*.snap
+cc2p_amd64-*.txt

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "cc2p"
-version = "0.2.4"
+version = "0.2.5"
 edition = "2021"
 description = "Convert a CSV to parquet file format"
 authors = ["rayyildiz"]
@@ -27,5 +27,5 @@ codegen-units = 1
 lto = true
 panic = "abort"
 debug = false
-strip = "debuginfo"
+strip = true
 opt-level = 3

snapcraft.yaml

@@ -0,0 +1,25 @@
+name: cc2p
+base: core22
+website: https://rayyildiz.com/projects/cc2p/
+version: '0.2.5'
+summary: CC2P is a tool for efficient conversion of CSV files to parquet format.
+description: |
+  (CC2P) is a Rust-based project that converts CSV files in a selected
+  folder into parquet format. This tool provides a simple and efficient
+  way of handling and converting your CSV data files.
+
+architectures:
+  - build-on: amd64
+
+grade: stable
+confinement: strict
+
+parts:
+  apps:
+    plugin: rust
+    source: .
+
+
+apps:
+  apps:
+    command: bin/cc2p

src/lib.rs

@@ -97,7 +97,7 @@ pub fn convert_to_parquet(
 ///
 /// Returns `Err` if there is an error accessing the file or deleting it.
 ///
-fn delete_if_exist(filename: &str) -> Result<(), Box<dyn std::error::Error>> {
+pub fn delete_if_exist(filename: &str) -> Result<(), Box<dyn std::error::Error>> {
     if fs::metadata(filename).is_ok() {
         fs::remove_file(filename)?;
     }
@@ -116,7 +116,7 @@ struct Empty {}
 /// # Returns
 ///
 /// Returns an `Arc` containing the deduplicated schema.
-fn remove_deduplicate_columns(sc: arrow_schema::Schema) -> Arc<arrow_schema::Schema> {
+pub fn remove_deduplicate_columns(sc: arrow_schema::Schema) -> Arc<arrow_schema::Schema> {
     let mut index = 1;
     let mut deduplicated_fields = Vec::new();
     let mut names = HashMap::new();
@@ -207,7 +207,7 @@ pub fn find_files(pattern: &str) -> Vec<PathBuf> {
 ///
 /// # Arguments
 ///
-/// * `s` - The string to be cleaned.
+/// * `column_name` - The string to be cleaned.
 ///
 /// # Examples
 ///
@@ -224,8 +224,8 @@ pub fn find_files(pattern: &str) -> Vec<PathBuf> {
 /// # Returns
 ///
 /// A `String` containing the cleaned string, with all non-alphanumeric characters removed.
-pub fn clean_column_name(s: &str) -> String {
-    let cleaned = regex::Regex::new(r"[^a-zA-Z0-9_\-\s]").unwrap().replace_all(s, "");
+pub fn clean_column_name(column_name: &str) -> String {
+    let cleaned = regex::Regex::new(r"[^a-zA-Z0-9_\-\s]").unwrap().replace_all(column_name, "");
 
     cleaned.to_string()
 }