Skip to main content

Python integration with Crystal Reports

Project description

crystalpy-barno

Python Integration with Crystal Report for Dynamic Output

Features

  • Connect Crystal Report with Python for dynamic output

Installation

To install this project, run the following command:

pip install crystalpy-barno

Usage

Example Code

import os
from datetime import datetime

from crystalpy_barno.helpers.report_loader_helper import CrystalReportsLoader
from crystalpy_barno.config.database_config import DatabaseConfig
from crystalpy_barno.entry_point import generate_report

# Set database connection details externally
DatabaseConnectionHelper.set_connection_details(
    server_name="SERVER_NAME",
    database_name="DB_NAME",
    user_id="USER",
    password="PASS"
)

voucher_no = "VOUCHER_NO"
pdf_dir = os.path.join(cwd, 'pdf')
pdf_dir_sales = os.path.join(pdf_dir, 'sales')
pdf_filepath_sale = os.path.join(pdf_dir_sales, f"{voucher_no}.pdf")

# Generate a report
generate_report(
    report_type="sale_memo",
    filename='rpt/Sale_Memo_IncludeMaking.rpt',
    output_path=pdf_filepath_sale,
    parameters={
        "@pvSourcerecNo": '2425SOEBAR02135',
        "@pvVoucherNo": "2425SOPBAR00778",
        "@pvLeCode": "NJ",
        "@pvUserCode": "NIM",
        "@pvReportID": 1,
        "@pvIncludingMaking": "1",
    },
    formulas={
        "EmployeeName": "John Doe",
        "ReportCaption": "Sales Report"
    },
    sp_name="spSale_Memo",
    file_type="pdf"
)

Report Generation

This code generates a sales memo report using the SaleMemo function from the SaleSnippet module. The report is generated based on the provided parameters and saved as a PDF file in the specified output path.

Database Connection

The database connection details are set externally using the DatabaseConnectionHelper class. You need to replace the placeholders with your actual database connection details.

Report Templates

The report template used in this example is Sale_Memo_IncludeMaking.rpt. You can modify this template or use a different one to suit your reporting needs.

Output Directory

The output directory for the generated report is specified using the pdf_dir variable. You can modify this to change the output directory.

Contributing

Contributions are welcome! Please submit a pull request with your changes and a brief description of what you've added or fixed.

License

This project is licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

crystalpy_barno-1.1.22.tar.gz (460.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

crystalpy_barno-1.1.22-py3-none-any.whl (460.3 kB view details)

Uploaded Python 3

File details

Details for the file crystalpy_barno-1.1.22.tar.gz.

File metadata

  • Download URL: crystalpy_barno-1.1.22.tar.gz
  • Upload date:
  • Size: 460.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for crystalpy_barno-1.1.22.tar.gz
Algorithm Hash digest
SHA256 af36d8a537f4428230781e2d53abd3af3164ae73164890d36c55ee091cbb644d
MD5 6662ef82e5618b7e658c99aa5af878fc
BLAKE2b-256 bcd75df5aa7bfc2bbd319661691052d574da6c69d1755351af4b203224ff4844

See more details on using hashes here.

File details

Details for the file crystalpy_barno-1.1.22-py3-none-any.whl.

File metadata

File hashes

Hashes for crystalpy_barno-1.1.22-py3-none-any.whl
Algorithm Hash digest
SHA256 f0d8b9c9de3c0e6efaf89e55ec26d26c4f25061ac020b60eaa32004d8c495632
MD5 0fb1fd3236493b5d36a6787620f4b76e
BLAKE2b-256 078d98449ccf412128d45180d5a8fc91d9c15af53c8fe21d08e81ee7c44be0ac

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page