Query Tool
Query Tool - a powerful and user-friendly streamlit component designed to simplify your data analysis. With its intuitive interface, you can easily select the desired databases, columns, and tables, and apply filters, dimensions, and measures to analyze your data. Whether you're a beginner or an experienced analyst, "query_tool" is the perfect tool for your data analysis needs.
Installation
You can install the Data Grid package from PyPI using pip:
pip install bp-query-tool
Usage
To use the Query Tool component in your Streamlit application, follow these steps:
- Import the necessary modules:
import query_tool as qt
- Add the Query Tool component to your application:
qt.query_tool(
query=query,
title="Query Tool",
databases=databases,
tables=tables,
columns=columns,
on_database_change=on_database_change,
on_table_change=on_table_change,
on_generate_query=on_generate_query,
on_copy_query=on_copy_query,
on_execute_query=on_execute_query,
key="query_builder",
)
- Run your Streamlit application:
streamlit run your_app.py
Example
import query_tool as qt
databases = ['COMPANY_DB', 'SALES_DB']
tables = [
{
'database': 'COMPANY_DB',
'tables': ['EMPLOYEES', 'DEPARTMENTS']
},
{
'database': 'SALES_DB',
'tables': ['CUSTOMERS', 'ORDERS']
}
]
columns = [
{
'fqtn': 'COMPANY_DB.EMPLOYEES',
'columns': ['ID', 'NAME', 'EMAIL', 'POSITION']
},
{
'fqtn': 'COMPANY_DB.DEPARTMENTS',
'columns': ['ID', 'NAME', 'LOCATION', 'MANAGER']
},
{
'fqtn': 'SALES_DB.CUSTOMERS',
'columns': ['ID', 'NAME', 'EMAIL', 'PHONE']
},
{
'fqtn': 'SALES_DB.ORDERS',
'columns': ['ID', 'PRODUCT', 'QUANTITY', 'DATE']
}
]
def on_database_change(database):
print(database)
def on_table_change(database, table):
print(database, table)
def on_generate_query(selection, query):
print(selection, query)
def on_copy_query(query):
print(query)
def on_execute_query(query):
print(query)
qt.query_tool(
query=query,
title="Query Tool",
databases=databases,
tables=tables,
columns=columns,
on_database_change=on_database_change,
on_table_change=on_table_change,
on_generate_query=on_generate_query,
on_copy_query=on_copy_query,
on_execute_query=on_execute_query,
key="query_builder",
)
Screenshot
Metadata
Release files for bp-query-tool 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bp_query_tool-1.0.3.tar.gz | 314.4 kB | Without provenance | Details for bp_query_tool-1.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bp_query_tool-1.0.3-py3-none-any.whl | Python 3 | none | any | Details for bp_query_tool-1.0.3-py3-none-any.whl |
Total release size: 631.9 kB
Release files / bp_query_tool-1.0.3.tar.gz
| Download URL | bp_query_tool-1.0.3.tar.gz |
|---|---|
| Size | 314.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4793bba8b741b207f41060ad63f58482078aa290e4aa8276426a4d35ed91f9db
|
|
BLAKE2b-256 checksum How to use checksums |
d87363066146558e17ec49f786888f1ab7a88b2ecd36f16d393a81b1cb1826fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / bp_query_tool-1.0.3-py3-none-any.whl
| Download URL | bp_query_tool-1.0.3-py3-none-any.whl |
|---|---|
| Size | 317.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f2e62573631a71aa08ac5056767e061e8d2aafbaa402de2fc1aedcf48d0252f9
|
|
BLAKE2b-256 checksum How to use checksums |
1104a8f848861390f41b434563290893b7b02382645c69f7e916a2102385ded4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Security for bp-query-tool 1.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.