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# ParkAPI v3 | ||
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ParkAPI v3 is a web service which collects and provides access to parking data. It uses | ||
[ParkAPI-sources](https://github.com/ParkenDD/ParkAPI2-sources) as a | ||
[Git Submodule](https://git-scm.com/book/en/v2/Git-Tools-Submodules) at `webapp/converter` to collect data in different data structures. | ||
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## Data model | ||
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The data model is rather simple (for now): we have data sources and parking sites in an 1:n relation. | ||
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The data model is documented using an OpenAPI documentation: | ||
- [public endpoints](https://dev-ipl.mobidata-bw.de/park-api/documentation/public.html) for public data access | ||
- [admin endpoints](https://dev-ipl.mobidata-bw.de/park-api/documentation/admin.html) for pushing or managing data | ||
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### Source | ||
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The source object represents a specific data source. Every data source has a unique identifier called `source.uid` in | ||
the new data model and `PoolInfo.id` in legacy data sources. The `uid` is the central identifier which defines the | ||
data handling and, at push endpoints, even the user for basic authorization. | ||
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Additionally, every source has a human-readable name and a public URL where the user gets more information. | ||
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There are a few other fields at source, mostly related to import status including error counters and licence | ||
information. For a complete overview, please have a look at the | ||
[OpenAPI documentation](webapp/models/source.py). | ||
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If, until now, you used the ParkAPI v1 model, you might recognize that there is a change of perspective: at v1, the | ||
main object for collecting data was city, not source. This turned out not to be very realistic, because often there are | ||
multiple operators per city. ParkAPI v2 changed this to a source-based approach, and added geo-based queries to | ||
searches in order not to rely on a city as a query parameter. | ||
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### Parking Site | ||
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`ParkingSite` represents a location where multiple parking spaces are located as a defined area or building. Every | ||
parking site has a data source where it comes from. It also has all the relevant data which describes the parking site: | ||
a name, an address, a url and other meta information. Additionally, it has static and, if the data source provides it, | ||
realtime data for capacities. It also has opening times in OSM format and also, if available, a realtime opening status. | ||
For a complete overview, please have a look at the | ||
[OpenAPI documentation](webapp/models/parking_site.py). | ||
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This data model has it's limits for on-street parking, where there is no user-visible area which creates the | ||
borders of a specific parking site. Usually, there are definitions for areas like parts of streets, which also apply | ||
on fees or rules for this area, so it's a good idea to stick to them instead of importing every single parking space as | ||
a whole parking site. | ||
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There is a limit if it comes to attributes of parking spots: it's simple to define capacities for a single defined | ||
attribute, like family parking or parking with a charge station. The difficulty begins if there are parking spaces with | ||
multiple attributes at once, for example one parking spot which is for families and has a charge station at the same | ||
time. A possible solution would be to extend the data model to a parking space perspective, where every single parking | ||
space has a representation in the data model. Most data sources are not able to provide such in-detail information, so | ||
in order to provide data in a more consistent way, we decided against this (in the first place). | ||
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## Input: push and pull | ||
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There are two ways to get data in the system: pulling data from other servers using ParkAPI-source directly, and pushing | ||
data to endpoints of this service which is also handled by ParkAPI-sources. In both cases, ParkAPI v3 stores the data: | ||
ParkAPI-sources "just" transforms the data to a unified model. | ||
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### Pull data | ||
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Source UIDs which should be pulled have to be in `PARK_API_CONVERTER` as described in `config_dist_dev.yaml`. The UIDs | ||
need to correspond to an implementation in ParkAPI-sources which actually does the data pulling. ParkAPI-sources supports JSON data | ||
handling as well as HTML scraping, so almost every data format can be converted. Pulling data is done by the old | ||
ParkAPI v1 and v2 converters (so far). | ||
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Data pulling is done every five minutes. It uses | ||
[Celery's beat system](https://docs.celeryq.dev/en/stable/userguide/periodic-tasks.html) which creates tasks per source | ||
regularly, the Celery workers actually do the work then. If you decide to run a subset of ParkAPIv3s services or | ||
build your own infrastructure (eg run ParkAPIv3 per systemd services), please keep in mind that both, heartbeat and | ||
worker, are required to run. | ||
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If you want to create new data sources, please have a look at | ||
[ParkAPI-sources' README.md](https://github.com/ParkenDD/ParkAPI2-sources#polling--scraping-data-1). | ||
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## Push services | ||
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Push services are ParkAPIv3 endpoints which other clients send data to. This is the recommended way of | ||
publishing realtime data, because if the client knows best when it gets an update, and therefore you will experience the | ||
best realtime experience using push services. Push-services can also be used for pushing data which comes by other | ||
data transport channels, eg per mail client. | ||
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Each source uid used for pushing requires an entry in config value `SERVER_AUTH_USERS`, mapping the uid to the basic auth credentials that clients must provide to push to this source. | ||
have basic auth credentials. Other auth methods are not supported so far. The `hash` is a `sha256` hash. You can create | ||
such a hash by | ||
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```python | ||
from hashlib import sha256 | ||
sha256(b'your-very-long-random-generated-password').hexdigest() | ||
``` | ||
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You can create sha256 hashes by other tools, too, but keep in mind not to hash newlines at the end of the string (this | ||
happens at bash quite easy). | ||
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Additionally, there should be a suitable ParkAPI v3 converter at ParkAPI-sources to convert pushed data in ParkAPI v3's | ||
internal format. It has to have the same source UID as the one configured in the `SERVER_AUTH_USERS` config. | ||
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Push services have four different entrypoints for common data formats: XML, JSON, CSV and XLSX which are all different endpoints. The | ||
endpoints do some basic file loading and then hand it over to ParkAPI-sources. | ||
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If you want to create new data sources, please have a look at | ||
[ParkAPI-sources' README.md](https://github.com/ParkenDD/ParkAPI2-sources#pushed-data-1). | ||
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### Using the push command line interface | ||
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In order to test push tasks or to upload files you got per e-mail, there is an upload script included in this | ||
repository. It's located at `/push-client/push-client.py`. It requires python requests, so either, you have that | ||
installed at your system, or you create a virtual environment for that: | ||
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```bash | ||
cd push-client | ||
virtalenv venv | ||
pip install "requests~=2.31.0" | ||
source venv/bin/activate | ||
python push-client.py | ||
``` | ||
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If you have requests, you can run the script with two arguments: | ||
- the source uid which should be registered as user at `config.yaml` and should have a representation at ParkAPI-sources | ||
- the path to the file to push | ||
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Afterward, the password will be asked in a secure way, then the upload progress begins. | ||
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## Configuration | ||
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Besides `PARK_API_CONVERTER` and `SERVER_AUTH_USERS`, there are a few other configuration options to set, you will find | ||
valid config keys in `config_dist_dev.yaml`. You can set config values by two different approaches (or even mix them): | ||
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1) You can create a config file called `config.yaml` in your root folder. | ||
2) You can set any config value by env var, but you have to prefix the config name with `PARKAPI_` then. For example, | ||
you can configure `SECRET_KEY` using the env var `$PARKAPI_SECRET_KEY`. ENV vars overwrite | ||
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## Monitoring: Loki and Prometheus | ||
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ParkAPI v3 provides a Prometheus endpoint at `/metrics` which helps to monitor the status of all data sources. It also | ||
provides a Loki integration to send properly tagged log messages to a Loki instance. This is enabled by the | ||
configuration value `LOKI_ENABLED` to true. The url is set by `LOKI_URL`, additionall tags are injected by `LOKI_TAGS`, | ||
and BasicAuth is set by `LOKI_USER` and `LOKI_PASSWORD` (if required). | ||
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## Extending and fixing ParkAPI | ||
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Merge requests are very welcome. Please keep in mind that ParkAPI v3 is an open source project under MIT licence, so any | ||
code you add should be compatible with this licence. Bug reports are welcome, too, of course. |
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