We provide a web-services API that uses JSON to encode the parameters and results.
We have code-as-documentation in the client.py file, but will try to keep this documentation up to date as well.
JSON encoding¶The first message you send to the server will be to log in using your API key. The formatting steps are:
Form the JSON object:
Form the x-www-form-encoded string:
request-json={"apikey": "XXXXXX"}which becomes:
request-json=%7B%22apikey%22%3A+%22XXXXXX%22%7DSend that to the “login” API URL as a POST request:
Using the requests library, this looks like:
import requests
import json
R = requests.post('http://nova.astrometry.net/api/login', data={'request-json': json.dumps({"apikey": "XXXXXXXX"})})
print(R.text)
>> u'{"status": "success", "message": "authenticated user: ", "session": "0ps9ztf2kmplhc2gupfne2em5qfn0joy"}'
Note the request-json=VALUE: we’re not sending raw JSON, we’re sending the JSON-encoded string as though it were a text field called request-json.
All the other API calls use this same pattern. It may be more complicated on the client side, but it makes testing and the server side easier.
This form demonstrates how the request must be encoded, and what the result looks like.
Session key¶After logging in with your API key, you will get back a “session key”:
{"status": "success", "message": "authenticated user: ", "session": "575d80cf44c0aba5491645a6818589c6"}
You have to include that “session” value in all subsequent requests. The session will remain alive for some period of time, or until you log out.
Submitting a URL¶API URL:
Arguments:
session: string, requried. Your session key, required in all requestsurl: string, required. The URL you want to submit to be solvedallow_commercial_use: string: “d” (default), “y”, “n”: licensing termsallow_modifications: string: “d” (default), “y”, “n”, “sa” (share-alike): licensing termspublicly_visible: string: “y”, “n”scale_units: string: “degwidth” (default), “arcminwidth”, “arcsecperpix”. The units for the “scale_lower” and “scale_upper” arguments; becomes the “–scale-units” argument to “solve-field” on the server side.scale_type: string, “ul” (default) or “ev”. Set “ul” if you are going to provide “scale_lower” and “scale_upper” arguments, or “ev” if you are going to provide “scale_est” (estimate) and “scale_err” (error percentage) arguments.scale_lower: float. The lower-bound of the scale of the image.scale_upper: float. The upper-bound of the scale of the image.scale_est: float. The estimated scale of the image.scale_err: float, 0 to 100. The error (percentage) on the estimated scale of the image.center_ra: float, 0 to 360, in degrees. The position of the center of the image.center_dec: float, -90 to 90, in degrees. The position of the center of the image.radius: float, in degrees. Used withcenter_ra,``center_dec`` to specify that you know roughly where your image is on the sky.downsample_factor: float, >1. Downsample (bin) your image by this factor before performing source detection. This often helps with saturated images, noisy images, and large images. 2 and 4 are commonly-useful values.tweak_order: int. Polynomial degree (order) for distortion correction. Default is 2. Higher orders may produce totally bogus results (high-order polynomials are strange beasts).use_sextractor: boolean. Use the SourceExtractor program to detect stars, not our built-in program.crpix_center: boolean. Set the WCS reference position to be the center pixel in the image? By default the center is the center of the quadrangle of stars used to identify the image.parity: int, 0, 1 or 2. Default 2 means “try both”. 0 means that the sign of the determinant of the WCS CD matrix is positive, 1 means negative. The short answer is, “try both and see which one works” if you are interested in using this option. It results in searching half as many matches so can be helpful speed-wise.image_width: int, only necessary if you are submitting an “x,y list” of source positions.image_height: int, ditto.positional_error: float, expected error on the positions of stars in your image. Default is 1.
Example:
And you will get back a response such as:
{"status": "success", "subid": 16714, "hash": "6024b45a16bfb5af7a73735cbabdf2b462c11214"}
The subid is the Submission number. The hash is the sha-1 hash of the contents of the URL you specified.
Submitting a file is somewhat complicated, because it has to be formatted as a multipart/form-data form. This is exactly the same way an HTML form with text fields and a file upload field would do it. If you are working in python, it will probably be helpful to look at the client.py code.
Specifically, the multipart/form-data data you send must have two parts:
- The first contains a text field, request-json, just like the rest of the API calls. The value of this field is the JSON-encoded string. It should have MIME type text/plain, and Content-disposition: form-data; name=”request-json”
- The second part contains the file data, and should have MIME type octet-stream, with Content-disposition: form-data; name=”file”; *filename=”XXX” where XXX* is a filename of your choice.
For example, uploading a file containing the text “Hello World”, the data sent in the POST would look like this:
--===============2521702492343980833==
Content-Type: text/plain
MIME-Version: 1.0
Content-disposition: form-data; name="request-json"
{"publicly_visible": "y", "allow_modifications": "d", "session": "XXXXXX", "allow_commercial_use": "d"}
--===============2521702492343980833==
Content-Type: application/octet-stream
MIME-Version: 1.0
Content-disposition: form-data; name="file"; filename="myfile.txt"
Hello World
--===============2521702492343980833==--
API URL:
Arguments:
Getting submission status¶Same as URL upload, above.
When you submit a URL or file, you will get back a subid submission identifier. You can use this to query the status of your submission as it gets queued and run. Each submission can have 0 or more “jobs” associated with it; a job corresponds to a run of the solve-field program on your data.
API URL:
Example:
Arguments:
None required.
Returns (example):
{"processing_started": "2016-03-29 11:02:11.967627", "job_calibrations": [[1493115, 785516]],
"jobs": [1493115], "processing_finished": "2016-03-29 11:02:13.010625",
"user": 1, "user_images": [1051223]}
If the job has not started yet, the jobs array may be empty. If the job_calibrations array is not empty, then we solved your image.
Getting job status¶API URL:
Example:
Arguments:
Returns (example):
Getting job results: calibration¶{“status”: “success”}
API URL:
Example:
Arguments:
Returns (example):
{"parity": 1.0, "orientation": 105.74942079091929,
"pixscale": 1.0906710701159739, "radius": 0.8106715896625917,
"ra": 169.96633791366915, "dec": 13.221011585315143}
Getting job results: known objects in your image¶
API URL:
Example:
Arguments:
Returns (example):
{"objects_in_field": ["NGC 3628", "M 66", "NGC 3627", "M 65", "NGC 3623"]}
Getting job results: known objects in your image, with coordinates¶
API URL:
Example:
Arguments:
Returns (example, cut):
{"annotations": [
{"radius": 0.0, "type": "ic", "names": ["IC 2728"],
"pixelx": 1604.1727638846828, "pixely": 1344.045125738614},
{"radius": 0.0, "type": "hd", "names": ["HD 98388"],
"pixelx": 1930.2719762446786, "pixely": 625.1110603737037}
]}
Returns a list of objects in your image, including NGC/IC galaxies, Henry Draper catalog stars, etc. These should be the same list of objects annotated in our plots.
Getting job results¶API URL:
Example:
Arguments:
Returns (example, cut):
{"status": "success",
"machine_tags": ["NGC 3628", "M 66", "NGC 3627", "M 65", "NGC 3623"],
"calibration": {"parity": 1.0, "orientation": 105.74942079091929,
"pixscale": 1.0906710701159739, "radius": 0.8106715896625917,
"ra": 169.96633791366915, "dec": 13.221011585315143},
"tags": ["NGC 3628", "M 66", "NGC 3627", "M 65", "NGC 3623"],
"original_filename": "Leo Triplet-1.jpg",
"objects_in_field": ["NGC 3628", "M 66", "NGC 3627", "M 65", "NGC 3623"]}
Misc Notes¶
The API and other URLs are defined here:
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