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README.md

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# DELTA - FastAPI based WebApp to Test Database Latency (NEW, 2025)
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This project is a secure, lightweight SaaS-like database latency testing GUI and API, built with FastAPI.
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This project is a secure, lightweight SaaS-like database latency testing tool with a Mobile GUI, along with REST API.
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https://github.com/user-attachments/assets/e3eaf179-914b-4c17-bc47-35f17e86aee0
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Built with ❤️ using FastAPI.
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## Clone Repository ##
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![Screenshot 2025-07-03 at 11 26 30 PM](https://github.com/user-attachments/assets/f1b17fb8-f637-4b86-95c9-52dd0b6e2067)
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### 5. API Usage via Curl/CLI Example:
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### 5. Default SQL : API Usage via Curl/CLI MySQL Example
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```bash
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curl -u admin:change_this -X POST http://localhost:8000/api/test-latency -d dbtype=mysql -d host=localhost -d port=3390 -d username=testuser -d password="YOurP@ssword#12" -d database=testdb -d interval=1 -d period=10 | jq .
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```
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curl -u admin:change_this -X POST http://localhost:8000/api/test-latency \
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-d dbtype=mysql \
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-d host=localhost \
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-d port=3390 \
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-d username=testuser \
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-d password="YourPassword1##" \
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-d database=testdb \
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-d interval=1 \
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-d period=10 \
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| jq .
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```
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% Total % Received % Xferd Average Speed Time Time Time Current
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Dload Upload Total Spent Left Speed
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100 1260 100 1145 100 115 107 10 0:00:11 0:00:10 0:00:01 259
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{
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"success": true,
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"error": null,
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"latency_stats": {
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"p99": 65.00130997534143,
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"p90": 64.45847470022272,
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"avg": 59.44308740145061,
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"stddev": 3.661004661748353,
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"mean": 59.44308740145061,
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"runs": 10
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},
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"details": [
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{
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"timestamp": "2025-07-04 01:18:22",
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"latency_ms": 61.802583004464395,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:23",
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"latency_ms": 61.06654200993944,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:24",
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"latency_ms": 64.39145799959078,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:25",
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"latency_ms": 53.58212499413639,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:26",
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"latency_ms": 65.06162500591017,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:27",
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"latency_ms": 57.83200000587385,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:29",
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"latency_ms": 54.59125000925269,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:30",
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"latency_ms": 57.854083002894185,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:31",
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"latency_ms": 60.93537498963997,
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"success": true,
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"error": null
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},
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{
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"timestamp": "2025-07-04 01:18:32",
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"latency_ms": 57.31383299280424,
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"success": true,
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"error": null
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}
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]
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}
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### 6. Custom User SQL : API Usage via Curl/CLI MySQL Example
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To test with a custom SQL query from the command line, simply add a -d custom_sql="YOUR SQL HERE" parameter to your curl command, like this:
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```bash
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curl -u admin:change_this -X POST http://localhost:8000/api/test-latency \
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-d dbtype=mysql \
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-d host=localhost \
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-d port=3390 \
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-d username=testuser \
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-d password="YourPassword1##" \
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-d database=testdb \
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-d interval=1 \
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-d period=10 \
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-d custom_sql="SELECT * FROM mytable WHERE status='ACTIVE' LIMIT 10" \
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| jq .
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```
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## Command-Line (delta.py) Usage — Secure, No Stored Credentials
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- If `custom_sql` is included (and not empty), that query is used for measuring latency (instead of `SELECT 1`).
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The original `delta.py` script remains available for CLI power users and can test Oracle, PostgreSQL, MySQL, and URLs. **No credentials are stored in this file**; you must supply all values as arguments or interactively via a prompt.
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- All other parameters stay the same as before.
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- You can enter multi-line SQL in the terminal by wrapping it in quotes, or you can pipe in a file with `-d custom_sql="$(cat myquery.sql)"`.
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## Databases Supported 🔌 :
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