Age | Commit message (Collapse) | Author |
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Due to the way the azure boot works, where we identify the hostname to the
fabric, we were inadvertently overwriting hostname that the user had set.
LP: #1375252
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handling of cloud-config-archive input would fail in fully_decoded_payload.
part.get_charset() would return a Charset object, but
get_charset.input_codec is a string suitable for passing to decode.
This handles that correctly, and is more careful about binary data inside
input.
The test added verifies that cloud-config inside a cloud-config-archive
is handled correctly and also that binary data there is ignored without
exceptions raised.
LP: #1445143
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Cloud-init crashed when received multipart userdata object with
'application/octet-stream' part or some other 'application/*' part
except archived ones (x-gzip and friends). These parts are not
processed by cloud-init and result only in a message in the log.
We used some non-python3-friendly techniques while generating
this log message which was a reason for the crash.
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explicitly test compressed user-data.
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to be behind trunk.
`tox -e py27` passes full test suite. Now to work on replacing mocker.
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make pyflakes now passes.
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vendordata.
Vendordata is a datasource provided userdata-like blob that is parsed
similiarly to userdata, execept at the user's pleasure.
cloudinit/config/cc_scripts_vendor.py: added vendor script cloud config
cloudinit/config/cc_vendor_scripts_per_boot.py: added vendor per boot
cloud config
cloudinit/config/cc_vendor_scripts_per_instance.py: added vendor per
instance vendor cloud config
cloudinit/config/cc_vendor_scripts_per_once.py: added per once vendor
cloud config script
doc/examples/cloud-config-vendor-data.txt: documentation of vendor-data
examples
doc/vendordata.txt: documentation of vendordata for vendors
(RENAMED) tests/unittests/test_userdata.py => tests/unittests/test_userdata.py
TO: tests/unittests/test_userdata.py => tests/unittests/test_data.py:
userdata test cases are not expanded to confirm superiority over vendor
data.
bin/cloud-init: change instances of 'consume_userdata' to 'consume_data'
cloudinit/handlers/cloud_config.py: Added vendor script handling to default
cloud-config modules
cloudinit/handlers/shell_script.py: Added ability to change the path key to
support vendor provided 'vendor-scripts'. Defaults to 'script'.
cloudinit/helpers.py:
- Changed ConfigMerger to include handling of vendordata.
- Changed helpers to include paths for vendordata.
cloudinit/sources/__init__.py: Added functions for helping vendordata
- get_vendordata_raw(): returns vendordata unprocessed
- get_vendordata(): returns vendordata through userdata processor
- has_vendordata(): indicator if vendordata is present
- consume_vendordata(): datasource directive for indicating explict
user approval of vendordata consumption. Defaults to 'false'
cloudinit/stages.py: Re-jiggered for handling of vendordata
- _initial_subdirs(): added vendor script definition
- update(): added self._store_vendordata()
- [ADDED] _store_vendordata(): store vendordata
- _get_default_handlers(): modified to allow for filtering
which handlers will run against vendordata
- [ADDED] _do_handlers(): moved logic from consume_userdata
to _do_handlers(). This allows _consume_vendordata() and
_consume_userdata() to use the same code path.
- [RENAMED] consume_userdata() to _consume_userdata()
- [ADDED] _consume_vendordata() for handling vendordata
- run after userdata to get user cloud-config
- uses ConfigMerger to get the configuration from the
instance perspective about whether or not to use
vendordata
- [ADDED] consume_data() to call _consume_{user,vendor}data
cloudinit/util.py:
- [ADDED] get_nested_option_as_list() used by cc_vendor* for
getting a nested value from a dict and returned as a list
- runparts(): added 'exe_prefix' for running exe with a prefix,
used by cc_vendor*
config/cloud.cfg: Added vendor script execution as default
tests/unittests/test_runs/test_merge_run.py: changed consume_userdata() to
consume_data()
tests/unittests/test_runs/test_simple_run.py: changed consume_userdata() to
consume_data()
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