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A Python library for collecting Met/Ocean metadata from various services

Project description

metadown
========

A programatic collector/downloader for IOOS like 19115-2 metadata written in Python.

Services supported:

* [THREDDS](http://www.unidata.ucar.edu/projects/THREDDS/) (ISO service must be enabled)
* [GeoNetwork](http://geonetwork-opensource.org/)

## Installation

metadown is available on pypi and is easiest installed using `pip`.

```bash
pip install metadown
```
`lxml`, `requests`, and `thredds_crawler` will be installed automatically

## Usage

### THREDDS

The ThreddsCollector can take two optional arguments. Both are strongly suggested so you don't crawl an
entire THREDDS server (unless that is what you want to do).

* `selects` (list) - Select datasets based on their THREDDS ID. Python regex is supported.
* `skips` (list) - Skip datasets based on their name and catalogRefs based on their xlink:title. By default, the crawler uses four regular expressions to skip lists of thousands upon thousands of individual files that are part of aggregations or FMRCs (they are below.) Setting the `skip` parameter to anything other than a superset of the defaults below runs the risk of having some angry system admins after you.

* `.\*files/`
* `.\*Individual Files.\*`
* `.\*File_Access.\*`
* `.\*Forecast Model Run.\*`

```python
from metadown.collectors.thredds import ThreddsCollector

selects = [".*SST-Agg"]
tc = ThreddsCollector("http://tds.glos.us:8080/thredds/mtri/aoc.html", selects=selects)
metadata_urls = tc.run()
print metadata_urls
[
'http://tds.glos.us:8080/thredds/iso/SST/LakeErieSST-Agg',
'http://tds.glos.us:8080/thredds/iso/SST/LakeHuronSST-Agg',
'http://tds.glos.us:8080/thredds/iso/SST/LakeMichiganSST-Agg',
'http://tds.glos.us:8080/thredds/iso/SST/LakeOntarioSST-Agg',
'http://tds.glos.us:8080/thredds/iso/SST/LakeSuperiorSST-Agg'
]
```

### GeoNetwork

```python
from metadown.collectors.geonetwork import GeoNetworkCollector

gnc = GeoNetworkCollector("http://data.glos.us/metadata")
metadata_urls = gnc.run()
print metadata_urls
[
...
'http://data.glos.us/metadata/srv/en/iso19139.xml?id=39848',
'http://data.glos.us/metadata/srv/en/iso19139.xml?id=39846',
'http://data.glos.us/metadata/srv/en/iso19139.xml?id=39845'
]
```


### Downloading resulting ISO files

Once you have the metadata urls for the data you want, do whatever you want!
If you would like to rename or modify the metadata files, there is a helper class called `XmlDownloader`

XmlDownloader takes in three parameters:

* `url_list` (required) - a list of URLs
* `download_path` (required) - folder to download files to on your local machine
* `namer` (optional) - a python function for renaming the metadata files before saving them to your local machine. It should take in a single url and return a string filename for the url to be saved as.

Example `namer` function that renames GeoNetwork URLs
```python
from urlparse import urlsplit
def geonetwork_renamer(url, **kwargs):
uid = urlsplit(url).query
uid = uid[uid.index("=")+1:]
return "GeoNetwork-" + uid + ".xml"
```

* `modifier` (optional) - a python function for full control over the metadata content. It should take in a single url and return a `str` representation of ISO19115-2.

Example `modifier` function that translates GeoNetwork's ISO19139 to ISO19115-2
```python
from metadown.utils.etree import etree
def geonetwork_modifier(url, **kwargs):
gmi_ns = "http://www.isotc211.org/2005/gmi"
etree.register_namespace("gmi",gmi_ns)
new_root = etree.Element("{%s}MI_Metadata" % gmi_ns)
old_root = etree.parse(url).getroot()
# carry over an attributes we need
[new_root.set(k,v) for k,v in old_root.attrib.items()]
# carry over children
[new_root.append(e) for e in old_root]
return etree.tostring(new_root, encoding="UTF-8", pretty_print=True, xml_declaration=True)
```

```python
from metadown.downloader import XmlDownloader
XmlDownloader.run(metadata_urls, download_directory, namer=geonetwork_renamer, modifier=geonetwork_modifier)
```

Project details


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