Async crawler and parsing service for data.gouv.fr
Project description
udata-hydra 🦀
udata-hydra is an async metadata crawler for data.gouv.fr.
URLs are crawled via aiohttp, catalog and crawled metadata are stored in a PostgreSQL database.
Since it's called hydra, it also has mythical powers embedded:
- analyse remote resource metadata over time to detect changes in the smartest way possible
- if the remote resource is a CSV, convert it to a PostgreSQL table, ready for APIfication
- send crawl and analysis info to a udata instance
Architecture schema
The architecture for the full workflow is the following:
The hydra crawler is one of the components of the architecture. It will check if resource is available, analyze the type of file if the resource has been modified, and analyze the CSV content. It will also convert CSV resources to database tables and send the data to a udata instance.
CLI
Create database structure
Install udata-hydra dependencies and cli.
poetry install
poetry run udata-hydra migrate
Load (UPSERT) latest catalog version from data.gouv.fr
poetry run udata-hydra load-catalog
Crawler
poetry run udata-hydra-crawl
It will crawl (forever) the catalog according to config set in udata_hydra/config.toml, with a default config in udata_hydra/config_default.toml.
BATCH_SIZE URLs are queued at each loop run.
The crawler will start with URLs never checked and then proceed with URLs crawled before SINCE interval. It will then wait until something changes (catalog or time).
There's a by-domain backoff mecanism. The crawler will wait when, for a given domain in a given batch, BACKOFF_NB_REQ is exceeded in a period of BACKOFF_PERIOD seconds. It will retry until the backoff is lifted.
If an URL matches one of the EXCLUDED_PATTERNS, it will never be checked.
Worker
A job queuing system is used to process long-running tasks. Launch the worker with the following command:
poetry run rq worker -c udata_hydra.worker
Monitor worker status:
poetry run rq info -c udata_hydra.worker --interval 1
CSV conversion to database
Converted CSV tables will be stored in the database specified via config.DATABASE_URL_CSV. For tests it's same database as for the catalog. Locally, docker compose will launch two distinct database containers.
Tests
To run the tests, you need to launch the database, the test database, and the Redis broker with docker-compose -f docker-compose.yml -f docker-compose.test.yml up -f docker-compose.broker.yml up -d.
Then you can run the tests with poetry run pytest.
If you would like to see print statements as they are executed, you can pass the -s flag to pytest (poetry run pytest -s). However, note that this can sometimes be difficult to parse.
Tests coverage
Pytest automatically uses the coverage package to generate a coverage report, which is displayed at the end of the test run in the terminal.
The coverage is configured in the pypoject.toml file, in the [tool.pytest.ini_options] section.
You can also override the coverage report configuration when running the tests by passing some flags like --cov-report to pytest. See the pytest-cov documentation for more information.
API
Run
poetry install
poetry run adev runserver udata_hydra/app.py
Get latest check
Works with ?url={url} and ?resource_id={resource_id}.
$ curl -s "http://localhost:8000/api/checks/latest/?url=http://opendata-sig.saintdenis.re/datasets/661e19974bcc48849bbff7c9637c5c28_1.csv" | json_pp
{
"status" : 200,
"catalog_id" : 64148,
"deleted" : false,
"error" : null,
"created_at" : "2021-02-06T12:19:08.203055",
"response_time" : 0.830198049545288,
"url" : "http://opendata-sig.saintdenis.re/datasets/661e19974bcc48849bbff7c9637c5c28_1.csv",
"domain" : "opendata-sig.saintdenis.re",
"timeout" : false,
"id" : 114750,
"dataset_id" : "5c34944606e3e73d4a551889",
"resource_id" : "b3678c59-5b35-43ad-9379-fce29e5b56fe",
"headers" : {
"content-disposition" : "attachment; filename=\"xn--Dlimitation_des_cantons-bcc.csv\"",
"server" : "openresty",
"x-amz-meta-cachetime" : "191",
"last-modified" : "Wed, 29 Apr 2020 02:19:04 GMT",
"content-encoding" : "gzip",
"content-type" : "text/csv",
"cache-control" : "must-revalidate",
"etag" : "\"20415964703d9ccc4815d7126aa3a6d8\"",
"content-length" : "207",
"date" : "Sat, 06 Feb 2021 12:19:08 GMT",
"x-amz-meta-contentlastmodified" : "2018-11-19T09:38:28.490Z",
"connection" : "keep-alive",
"vary" : "Accept-Encoding"
}
}
Get all checks for an URL or resource
Works with ?url={url} and ?resource_id={resource_id}.
$ curl -s "http://localhost:8000/api/checks/all/?url=http://www.drees.sante.gouv.fr/IMG/xls/er864.xls" | json_pp
[
{
"domain" : "www.drees.sante.gouv.fr",
"dataset_id" : "53d6eadba3a72954d9dd62f5",
"timeout" : false,
"deleted" : false,
"response_time" : null,
"error" : "Cannot connect to host www.drees.sante.gouv.fr:443 ssl:True [SSLCertVerificationError: (1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'www.drees.sante.gouv.fr'. (_ssl.c:1122)\")]",
"catalog_id" : 232112,
"url" : "http://www.drees.sante.gouv.fr/IMG/xls/er864.xls",
"headers" : {},
"id" : 165107,
"created_at" : "2021-02-06T14:32:47.675854",
"resource_id" : "93dfd449-9d26-4bb0-a6a9-ee49b1b8a4d7",
"status" : null
},
{
"timeout" : false,
"deleted" : false,
"response_time" : null,
"error" : "Cannot connect to host www.drees.sante.gouv.fr:443 ssl:True [SSLCertVerificationError: (1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'www.drees.sante.gouv.fr'. (_ssl.c:1122)\")]",
"domain" : "www.drees.sante.gouv.fr",
"dataset_id" : "53d6eadba3a72954d9dd62f5",
"created_at" : "2020-12-24T17:06:58.158125",
"resource_id" : "93dfd449-9d26-4bb0-a6a9-ee49b1b8a4d7",
"status" : null,
"catalog_id" : 232112,
"url" : "http://www.drees.sante.gouv.fr/IMG/xls/er864.xls",
"headers" : {},
"id" : 65092
}
]
Get crawling status
$ curl -s "http://localhost:8000/api/status/crawler/" | json_pp
{
"fresh_checks_percentage" : 0.4,
"pending_checks" : 142153,
"total" : 142687,
"fresh_checks" : 534,
"checks_percentage" : 0.4
}
Get worker status
$ curl -s "http://localhost:8000/api/status/worker/" | json_pp
{
"queued" : {
"default" : 0,
"high" : 825,
"low" : 655
}
}
Get crawling stats
$ curl -s "http://localhost:8000/api/stats/" | json_pp
{
"status" : [
{
"count" : 525,
"percentage" : 98.3,
"label" : "ok"
},
{
"label" : "error",
"percentage" : 1.3,
"count" : 7
},
{
"label" : "timeout",
"percentage" : 0.4,
"count" : 2
}
],
"status_codes" : [
{
"code" : 200,
"count" : 413,
"percentage" : 78.7
},
{
"code" : 501,
"percentage" : 12.4,
"count" : 65
},
{
"percentage" : 6.1,
"count" : 32,
"code" : 404
},
{
"code" : 500,
"percentage" : 2.7,
"count" : 14
},
{
"code" : 502,
"count" : 1,
"percentage" : 0.2
}
]
}
Using Webhook integration
** Set the config values**
Create a config.toml where your service and commands are launched, or specify a path to a TOML file via the HYDRA_SETTINGS environment variable. config.toml or equivalent will override values from udata_hydra/config_default.toml, lookup there for values that can/need to be defined.
UDATA_URI = "https://dev.local:7000/api/2"
UDATA_URI_API_KEY = "example.api.key"
SENTRY_DSN = "https://{my-sentry-dsn}"
The webhook integration sends HTTP messages to udata when resources are analyzed or checked to fill resources extras.
Regarding analysis, there is a phase called "change detection". It will try to guess if a resource has been modified based on different criterions:
- harvest modified date in catalog
- content-length and last-modified headers
- checksum comparison over time
The payload should look something like:
{
"analysis:content-length": 91661,
"analysis:mime-type": "application/zip",
"analysis:checksum": "bef1de04601dedaf2d127418759b16915ba083be",
"analysis:last-modified-at": "2022-11-27T23:00:54.762000",
"analysis:last-modified-detection": "harvest-resource-metadata",
}
Development
docker-compose
Multiple docker-compose files are provided:
- a minimal
docker-compose.ymlwith two PostgreSQL containers (one for catalog and metadata, the other for converted CSV to database) docker-compose.broker.ymladds a Redis brokerdocker-compose.test.ymllaunches a test DB, needed to run tests
NB: you can launch compose from multiple files like this: docker-compose -f docker-compose.yml -f docker-compose.test.yml up
Logging & Debugging
The log level can be adjusted using the environment variable LOG_LEVEL.
For example, to set the log level to DEBUG when initializing the database, use LOG_LEVEL="DEBUG" udata-hydra init_db .
Writing a migration
- Add a file named
migrations/{YYYYMMDD}_{description}.sqland write the SQL you need to perform migration. udata-hydra migratewill migrate the database as needeed.
Deployment
3 services need to be deployed for the full stack to run:
- worker
- api / app
- crawler
Refer to each section to learn how to launch them. The only differences from dev to prod are:
- use
HYDRA_SETTINGSenv var to point to your customconfig.toml - use
HYDRA_APP_SOCKET_PATHto configure where aiohttp should listen to a reverse proxy connection (eg nginx) and useudata-hydra-appto launch the app server
Contributing
Before contributing to the repository and making any PR, it is necessary to initialize the pre-commit hooks:
pre-commit install
Once this is done, code formatting and linting, as well as import sorting, will be automatically checked before each commit.
If you cannot use pre-commit, it is necessary to format, lint, and sort imports with Ruff before committing:
ruff check --fix --select I .
ruff format .
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