| Group name | Andrew ID | |
|---|---|---|
| Yuanli Gu | Content Cell | |
| Yuou Lei | Content Cell | |
| Xinrui Zheng | Content Cell | |
| Shanyue Wan | shanyuew | shanyuew@andrew.cmu.edu |
| Rhea-Luz Valbuena | Content Cell |
Python Trip Project is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system
- Service, service instance, endpoint metrics analysis
- Root cause analysis
- Service topology map analysis
- Service, service instance and endpoint dependency analysis
- Slow services and endpoints detected
- Performance optimization
- Distributed tracing and context propagation
- Database access metrics. Detect slow database access statements(including SQL statements).
- Alarm
| Library | Version |
|---|---|
| pandas | 0.25.1 |
| numpy | 1.16.4 |
| matplotlib | 3.1.0 |
| folium | 0.10.0 |
| wordcloud | 1.5.0 |
| prettytable | 0.7.2 |
| jieba | 0.39 |
main.py
graph_generator.py
map_generator.py
filter_suitable_service.py
weather_analysis.py
NLP
nlp_analytics.py
dataset
AdelaideMetroStops_GDA2020.json
AdelaideMetroStops_GDA94.json
airline_data.xlsx
ctrip_cleaned_data.csv
hotel_data.xlsx
weather_data.xlsx
pip install -r requirements.txt
Running the main modle.
Input City: Adelaide
Input Beginning Time: 2015-01-01
Input Ending Time: 2015-04-01
Input Down-Bound Hotel Price: 50
Input Up-Bound Hotel Price: 500
