Commit Graph

6 Commits

Author SHA1 Message Date
Dennis Heimbigner
591e6b2f6d Fix DAP4 remotetest server
Warning: This PR is a follow on to PR https://github.com/Unidata/netcdf-c/pull/2555 and should not be merged until that prior PR has been merged. The changeset for this PR is a delta on the PR https://github.com/Unidata/netcdf-c/pull/2555.

This PR re-enables the use of the server *remotetest.unidata.ucar.edu/d4ts*
to test several features:
1. Show that access over the Internet to servers using the DAP4 protocol works.
2. Test that DAP4 support in the [Thredds Data Server](https://github.com/Unidata/tds) is operating correctly.
4. Test that the DAP4 support in the [netcdf-java library](https://github.com/Unidata/netcdf-java) library and the DAP4 support in the netcdf-c library are consistent and are interoperable.

The test inputs (primarily *\*.nc* files) provided in the netcdf-c library
are also used by the DAP4 Test Server (aka d4ts) to present web access to a
collection of data files accessible via the DAP4 protocol and which can be
used for testing Internet access to a working server.

To be precise, this version of d4ts is currently in unmerged branches
of the *netcdf-java* and *tds* Github repositories and so are not actually
in the main repositories *yet*. However, the *d4ts.war* file was created
from that branch and used to populate the *remotetest.unidata.ucar.edu*
server

The two other remote servers that were used in the past are *Hyrax* (OPenDAP.org)
and *thredds-test*. These will continue to remain disabled until
those servers can be fixed.

## Primary Changes

* Rebuild the *baselineremote* directory. This directory contains the validation data needed to test the remote servers.
* Re-enable using remotetest.unidata.ucar.edu as part of the DAP4 testing process.
* Fix the *dap4_test/test_remote.sh* test script to match the current available test data.
* Make some changes to libdap4 to improve the ability to catch malformed data streams [affects a lot of files in libdap4].

## Misc. Unrelated Changes

* Remove a raft of warnings, especially in nc_test4/tst_quantize.c.
* Add some additional explanatory information to the NCZarr documentation.
* Cleanup some Doxygen errors in the docs file and reorder some files.
2022-11-15 20:29:21 -07:00
Dennis Heimbigner
835b81a285 Cleanup DAP4 testing
NOTE: This PR should not be included in 4.9.1 since additional
DAP4 related PRs will be forthcoming.

This PR makes major changes to libdap4 and dap4_test driven by changes to TDS.

* Enable DAP4
* Clean up the test input files and the test baseline comparison files. This entails:
    * Remove a multitude of unused test input and baseline data files; among them are dap4_test/: daptestfiles, dmrtestfiles, nctestfiles, and misctestfiles.
    * Define a canonical set of test input files and record in dap4_test/cdltestfiles.
    * Use the cdltestfiles to generate the .nc test inputs. This set of .nc files is then moved to the d4ts (DAP4 test server) war file in the tds repository. This set then becomes the canonical set of DAP4 test sources.
    * Scrape d4ts to obtain copies of the raw streams of DAP4 encoded data. The .dmr and .dap streams are then stored in dap4_test/rawtestfiles.
    * Disable some remote server tests until those servers are fixed.
* Add an option to ncdump (-XF) that forces the type of the _FillValue attribute; this is primarily to simplify testing of fill mismatch.
* Minor bug fixes to ncgen.
* Changes to libdap4:
    * Replace old checksum hack with the dap4.checksum flag.
    * Support the dap4.XXX controls.
    * Cleanup _FillValue handling, especially var-attribute type mismatches.
    * Fix enum handling based on changes to netcdf-java.
* Changes to dap4_test:
    * Add getopt support to various test support programs.
    * Remove unneeded shell scripts.
    * Add new scripts: test_curlopt.sh
2022-11-13 13:15:11 -07:00
Ward Fisher
0d17edf2ea
Merge branch 'main' into bloscfix.dmh 2022-09-06 13:49:18 -06:00
Dennis Heimbigner
231ae96c4b Add support for Zarr string type to NCZarr
* re: https://github.com/Unidata/netcdf-c/pull/2278
* re: https://github.com/Unidata/netcdf-c/issues/2485
* re: https://github.com/Unidata/netcdf-c/issues/2474

This PR subsumes PR https://github.com/Unidata/netcdf-c/pull/2278.
Actually is a bit an omnibus covering several issues.

## PR https://github.com/Unidata/netcdf-c/pull/2278
Add support for the Zarr string type.
Zarr strings are restricted currently to be of fixed size.
The primary issue to be addressed is to provide a way for user to
specify the size of the fixed length strings. This is handled by providing
the following new attributes special:
1. **_nczarr_default_maxstrlen** —
This is an attribute of the root group. It specifies the default
maximum string length for string types. If not specified, then
it has the value of 64 characters.
2. **_nczarr_maxstrlen** —
This is a per-variable attribute. It specifies the maximum
string length for the string type associated with the variable.
If not specified, then it is assigned the value of
**_nczarr_default_maxstrlen**.

This PR also requires some hacking to handle the existing netcdf-c NC_CHAR
type, which does not exist in zarr. The goal was to choose numpy types for
both the netcdf-c NC_STRING type and the netcdf-c NC_CHAR type such that
if a pure zarr implementation read them, it would still work and an
NC_CHAR type would be handled by zarr as a string of length 1.

For writing variables and NCZarr attributes, the type mapping is as follows:
* "|S1" for NC_CHAR.
* ">S1" for NC_STRING && MAXSTRLEN==1
* ">Sn" for NC_STRING && MAXSTRLEN==n

Note that it is a bit of a hack to use endianness, but it should be ok since for
string/char, the endianness has no meaning.

For reading attributes with pure zarr (i.e. with no nczarr
atribute types defined), they will always be interpreted as of
type NC_CHAR.

## Issue: https://github.com/Unidata/netcdf-c/issues/2474
This PR partly fixes this issue because it provided more
comprehensive support for Zarr attributes that are JSON valued expressions.
This PR still does not address the problem in that issue where the
_ARRAY_DIMENSION attribute is incorrectly set. Than can only be
fixed by the creator of the datasets.

## Issue: https://github.com/Unidata/netcdf-c/issues/2485
This PR also fixes the scalar failure shown in this issue.
It generally cleans up scalar handling.
It also adds a note to the documentation describing that
NCZarr supports scalars while Zarr does not and also how
scalar interoperability is achieved.

## Misc. Other Changes
1. Convert the nczarr special attributes and keys to be all lower case. So "_NCZARR_ATTR" now used "_nczarr_attr. Support back compatibility for the upper case names.
2. Cleanup my too-clever-by-half handling of scalars in libnczarr.
2022-08-27 20:21:13 -06:00
Dennis Heimbigner
3623e17920 Fix some bugs in the blosc filter wrapper
re: Issue https://github.com/Unidata/netcdf-c/issues/2458

The above Github Issue revealed some bugs in the file netcdf-c/plugins/H5Zblosc.c. Fixed and added a testcase. Also discovered that the Blosc LZ sub-compressors do not work well with small datasets.

Misc. Other Change(s): I noticed that the file "dap4_test/baselinethredds/GOES16_CONUS_20170821_020218_0.47_1km_33.3N_91.4W.nc4.thredds" is still causing tar errors during "make distcheck", so I made some changes to do rename at test-time.
2022-07-12 15:19:07 -06:00
Dennis Heimbigner
8ceafa62d4 Improve operation of the DAP4 code and fix bugs
re: e-support EOT-483791

* Add a new set of remote tests based on using the thredds-test server.
* Improve error reporting when server requests fail.
* Fix handing of _NCProperties attribute
2021-05-21 20:46:56 -06:00