easywaze

Project to get metrics from Waze CCP platform and genarate a set of metrics and alerts.

Developer mode

This mode allow the development of EasyWaze.

# Build Docker images
make build

# Start all containers and prepare directories
make prepare

# Enter into shell mode inside the EasyWaze container
make shell

# Install dependencies
pip install -r requirements.txt

# Run main file
python main.py

Exporting data

Its super easy to export captured data. You can do it by command line and tweak the date range and table to be exported.

---

Make sure that

• you did the steps above
• you are in the root cd / tabl

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Format	Command	Notes
Json	PYTHONPATH=. python app/exporters/export.py to_json	set the output path with --output_path <path>
Postgis	PYTHONPATH=. python app/exporters/export.py to_postgis	It loads a tables on the waze schema based on the WazeCCPProcessor

modifiers

Name	Modifier	Arguments	Description
Tables	--tables	list of tables ['alerts', 'jams']	Default is all tables ['alerts', 'jams', 'irregularities]`
Time Range	--time_range	int	It is the number of days backwards given a final date. If the final date is not given, the final date is today. Default is 30
Final Date	--final_date	string as date 2018-07-30	The last day to be computed. Default is None.
Initial Date	--initial_date	string as date 2018-07-30	The first day to be computed. Default is None
Chunksize	--chunksize	int	Number of files to be processed at time
Output Path	--output_path	str path app/dumps	Where to store loggingthe raw data
Logging	--logging	Bollean True or False	Activate INFO logging
Force Export	--force-export	Bollean True or False	Reload database and export

Adding new city

The src/new_city.py adds a city to config file.

python new_city.py --city_name Campinas --country_name Brasil --waze_url ...

It also supports interactive mode:

python new_city.py --interactive

which asks for the necessary data.

Developer mode

This mode allow the development of EasyWaze.

# Build Docker images
make build

# Start all containers and prepare directories
make prepare

# Destroy all container and clean environment
make destroy

# Enter into shell mode inside the EasyWaze container
make shell

# Install dependencies
pip install -r requirements.txt

# Run main file
python main.py