This tool parse and extract information from HDFC Bank credit card statements in .csv format. The extracted information can be used for personal finance management or analytics purposes.
- Extracts transaction details such as date, description, points, amount
- Multiple pdfs can be parsed and collated into 1 CSV.
- Rust
- HDFC credit card statements
- Clone this repository:
git clone https://github.com/joeirimpan/hdfc-cc-parser-rs.git - Navigate to the repository directory: cd hdfc-cc-parser-rs
- Build the project:
cargo build --release - Run the binary:
./target/release/hdfc-cc-parser-rs --dir <optional statements directory> --file <optional file path> --password <optional password> --sortformat="optional format eg., %d-%m-%Y"
A similar python implementation which uses tabula-py took 70s+ to generate a csv with 8 pdfs. With this implementation, it took only 0.02s to generate the same.
Assuming clickhouse-local is installed
- Get the points accumulated
cat output.csv | clickhouse-local --structure "tx_date Datetime, tx String, points Int32, amount Float32" --query "SELECT SUM(points) FROM table" --input-format CSV- Get the debits
cat output.csv | clickhouse-local --structure "tx_date Datetime, tx String, points Int32, amount Float32" --query "SELECT SUM(amount) FROM table WHERE amount < 0" --input-format CSV