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Refactor integration tests to remove random collection sampling #749
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413b086
Extract duplicated function
mfisher87 0ffc1b4
Add popular collection script proof of concept
mfisher87 8123e3a
Use union type instead of union operator
mfisher87 7e4c0f9
Remove logic which accepts up to 10% integration test failure
mfisher87 ef7bc0a
Enable import of sampling test utility function
mfisher87 a371dc2
Adjust test logging/docstrings for consistent & correct language
mfisher87 668c18e
Update generate script to fail if paging
mfisher87 1b09388
Add helper function to sample from collection list file
mfisher87 022613d
Fix granule sampling bug that can result in dupes
mfisher87 cc1c932
Update test parameter schema (WIP)
mfisher87 b1d39ea
Make granules hashable, fix granule sampling logic
mfisher87 e1f635b
Remove random collection sampling from test module
mfisher87 3f13536
loop through all providers while generating collection lists
danielfromearth fae144a
add collection text files for all currently listed providers
danielfromearth 3a09c11
Re-enable temporarily commented test parameters
mfisher87 e5aef6b
Update uv pre-commit hook
mfisher87 6e0ca0b
Extract test parameter type
mfisher87 85c4bb9
Run integration tests on the main branch
mfisher87 b26e7f3
Skip failing Kerchunk tests
mfisher87 bbe4878
Re-add LPDAAC on-prem open tests
mfisher87 1b9de98
Remove random collection sampling from all tests
mfisher87 ebfad63
Fix typechecker error
mfisher87 5b40af6
Fix incorrect annotation
mfisher87 b063347
HACK: Ignore unexpected mypy error
mfisher87 1d3df25
Update uv lock file
mfisher87 670b0f1
Cleanup unused import
mfisher87 ffc1fec
Add documentation on integration tests
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Original file line number | Diff line number | Diff line change |
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# Integration tests | ||
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## Testing most popular datasets | ||
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Some integration tests operate on the most popular collections for each provider in CMR. | ||
Those collections are cached as static data in `tests/integration/popular_collections/` | ||
to give our test suite more stability. The list of most popular collections can be | ||
updated by running a script in the same directory. | ||
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Sometimes, we find collections with unexpected conditions, like 0 granules, and | ||
therefore "comment" those collections from the list by prefixing the line with a `#`. | ||
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!!! note | ||
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Let's consider a CSV format for this data; we may want to, for example, allow | ||
skipping collections with a EULA by representing that as a column. |
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I felt this needed simplification as I added more.
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Original file line number | Diff line number | Diff line change |
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from typing import TypedDict | ||
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class TestParam(TypedDict): | ||
provider_name: str | ||
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# How many of the top collections we will test, e.g. top 3 collections | ||
n_for_top_collections: int | ||
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# How many granules we will query | ||
granules_count: int | ||
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# How many granules we will randomly select from the query | ||
granules_sample_size: int | ||
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# The maximum allowed granule size; if larger we'll try to find another one | ||
granules_max_size_mb: int |
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@betolink @chuckwondo This seems reasonable to me, but please validate me :)
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Thinking about it for like 5 minutes, this is obviously a bad idea. This class is subclassing
dict
. We'd need to implement like afrozendict
.