RememberTheMilk client API and command line client
mekk.rtm provides both RememberTheMilk client library (which you can use to write client programs/libraries using relatively simple API) and a few command-line utilities (which you can use to manage your data, for example import, export, massively tag, move between lists etc).
- Using mekk.rtm as client library
- Using mekk.rtm as command-line tool
- Source, bugs, patches
Using mekk.rtm as client library
Contrary to two other python RememberTheMilk clients (RtmAPI and pyrtm), mekk.rtm tries to provide elaborate API with enumerated explicit parameters and structured results. It is also tested with some unittests.
For detailed documentation see inline docs of mekk.rtm.RtmClient. Here is simple example (see also longer sample/sample_client.py in package sources, to get api key and shared secret visit this page):
from mekk.rtm import RtmClient, create_and_authorize_connector_prompting_for_api_key APP_NAME = "mekk.rtm sample" connector = create_and_authorize_connector_prompting_for_api_key(APP_NAME) # # Function above interactively prompts for api key and shared secret and # preserves acquired data in keyring. This is useful for testing, but in # normal case you are more likely to do: # # connector = create_and_authorize_connector(APP_NAME, API_KEY, SHARED_SECRET) client = RtmClient(connector) print "Normal lists: " for l in client.known_lists(): if not l.archived: print u"%s (%s)" % (l.id, l.name) print "Smart lists: " for l in client.known_smart_lists(): if not l.archived: print u"%s (%s, %s)" % (l.id, l.name, l.filter) test_list = client.find_or_create_list(u"The testing list") print "Test list: ", test_list another_list = client.find_or_create_list(u"The testing list") print "Another list: ", another_list task1 = client.create_task( u"Write some unit tests", list_id = test_list.id, tags = ["testy", "@dom"], priority = 3, due_date = "2010-11-30", estimate = "1 day 10 hours", repeat = "after 3 days", url = "http://en.wikipedia.org/wiki/Unit_testing", completed = False, notes = [ (u"Runner", u"Use nose to run them all\nIt is simplest"), (u"Helper", u"And mock can help to wrap backend apis\nwithout calling them") ]) print "Created task", task1 task2 = client.create_task( u"Less serious one", list_id = test_list.id) print "Created task", task2 task3 = client.create_task( u"Less serious one", list_id = another_list.id, tags = ["testy"]) print "Created task", task3 print "All incomplete tasks with notes on first list:" for t in client.find_tasks(list_id = test_list.id, filter = "status:incomplete and hasNotes:true"): print t task2 = client.update_task( task2.key, completed = True) print "Updated task", task2 print "All incomplete tasks tagged 'testy':" for t in client.find_tasks(filter = "tag:testy and status:incomplete"): print t
Using mekk.rtm as command-line tool
mekk.rtm offers a few command-line helpers (mostly related to the things original web interface fails to provide).
Moving many tasks to another list (rtmmove)
Moves all tasks fitting given query to list of specified name (which will be created if is not present).
rtmmove --list='Language learning' \ --filter='list:"English Course" or tag:"French" or tag:German"
To verify what the command is to do without actually performing it one can add –dry-run and –verbose. For example:
rtmmove --list=Family \ --filter='(tag:paul or tag:jane) and status:"incomplete"' \ --dry-run --verbose
Exporting RememberTheMilk data (rtmexport)
Not yet implemented (but planned soon)
Importing exported data back (rtmimport)
Not yet implemented (but planned soon)
Importing data from Nozbe to RememberTheMilk (rtmimport)
For obvious reasons (I already imported my data) I don’t test this module on every release. Make dry run before actually running the import and report bugs if they happen.
Exporting the data from Nozbe
nozbetool export --user=MyNozbeName --json=mynozbedata.json
Importing data to RememberTheMilk
First make a test run:
rtmimport --nozbe-json=mynozbedata.json --verbose --dry-run
(it does not store anything, just prints what it is to do) and verify whether everything seems correct.
Then make actual import:
rtmimport --nozbe-json=mynozbedata.json --verbose
(or omit –verbose if you don’t want to track progress, but I recommend you keep it)
Note: import can take some time. In case of my big list over not-so-good network it has been running for almost an hour.
How the data is converted
Nozbe projects are saved as RememberTheMilk lists.
Nozbe contexts are converted to RememberTheMilk tags. @ is prepended to their names and non-alphanumeric characters are replaced with dashes (so for example My home/kitchen becomes @My-home-kitchen).
Next actions are tagged as Next.
Actions are saved as tasks. Name, due date, recurrence, estimated cost and completion status are all saved.
In case of recurrence, RTM every mode is used (so the task marked on Nozbe as recurring every week will be spawned 52 times a year by RTM, whether user completes it, or not). If you prefer alternative way (spawning new incarnation whenever previous is completed), edit tasks after import, patch the code (and replace every with after), or ask me for a commandline flag).
As notes are bound to projects on Nozbe, and to tasks on RememberTheMilk, I save notes by creating artificial tasks named “Save this note” (one per every list for which appropriate project had notes) and binding notes to those tasks. This must be handled afterwards using RTM interface, to make sure it happens I mark those tasks as due immediately. Those task are also tagged as Note.
Only main context is copied, additional contexts are lost. I don’t know how to grab them from Nozbe (in case somebody knows how to patch mekk.nozbe to grab all contexts, I can extend this importer easily to handle them all).
Uploads are not copied at all. I neither now how to export them from Nozbe, nor how could I handle them afterwards (RTM has no uploads).
Action name formatting is not available on RememberTheMilk, so if you used constructs like Visit “the website”:http://google.com, they will show up as is.
Sharing information (= information about delegations to other users) is lost. I haven’t used this feature so I don’t know how do the underlying data look like.
Some contexts could probably be converted to locations, not tags, but I don’t have an idea how to decide which way to go.
Problems and workarounds
If import process is interrupted, re-running it would make duplicate tasks (there is no duplicate checking, it would be costly). The best way to resolve it is to open .json file in text editor (after making a backup copy of it) and simply cut all actions which are already saved (they are saved in order, so it is just a matter of locating the last action saved before the process was interrupted and cutting all actions up to this one).
I borrowed many ideas (especially how to handle authorization and construct requests) from RtmAPI by Michael Grünewald. Great thanks for sharing the code.
Source, bugs, patches
Development is tracked on BitBucket. Clone from there, report bugs there, offer patches there.
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