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Copy ingest #13
Copy ingest #13
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I had to install ncbi-datasets-cli
to run this (missing datasets
command) - it's listed in our conda recipe but it's not listed in the "ambient" section of our install docs. I'd suggest it's added to those docs, or detailed in the README here; even better would be to catch the error and explain what piece of software is missing to the user.
Using ncbi-datasets-cli version 15.23.0 I encountered the following error: Error: Internal error (invalid zip archive). Please try again
as part of rule fetch_ncbi_dataset_package
. Perhaps I'm missing some env variables? Perhaps it's transient (although it happened multiple times)?
(I don't have a view on whether copy-and-pasting the mpx ingest is the right approach; I'll defer to @joverlee521 here.)
Ah I see what happened. It appears we switched from NCBI Virus to NCBI Datasets on Sept 11, 2023 and the ingest README here and in Monkeypox need to be updated. I'll ensure that the ingest README for Monkeypox is updated first, followed by a rebase of this PR. Additionally, I'll submit a PR to update the ambient documentation.
I've encountered this error during testing in the Monkeypox repository as well. It seems to be a known intermittent issue with ncbi datasets . To mitigate this, we have a (For documentation: |
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Thanks for breaking down dengue/ingest changes into smaller focused PRs @j23414, this is much easier to review!
I don't have a view on whether copy-and-pasting the mpx ingest is the right approach; I'll defer to @joverlee521 here.
I think it's fine to copy monkeypox/ingest here since it's based on previous work that Jennifer had done. I've made comments on some changes that would be small improvements upon the monkeypox workflow.
This does bring the question to mind of whether it's easier for the team to copy/paste an existing ingest workflow rather than start from scratch with the pathogen-repo-template.
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This field map was added to keep the monkeypox NDJSON backwards compatible with field names that we used from NCBI Virus. I don't think we need to maintain it here and just directly use the NCBI Dataset field names.
My reasoning for using the default NCBI Dataset field names is to centralize all field/data transformations to the curation pipeline that start from the NDJSON.
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I somewhat appreciate the renaming because I'm not a fan of the spaces and capitalization in the NCBI Dataset field names (e.g. "Isolate Lineage" is being renamed to "strain" and "Geographic Region" to "region").
Do you prefer "Isolate Lineage" or would find "isolate_lineage" also acceptable?
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Hmm, I'd rather keep the fields exactly as NCBI has them. This way we can point users to the NCBI Dataset docs for a description of each field. I think it would help us avoid things like the submitted/released field mix up in the NDJSON.
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I really like the idea of pointing users to the NCBI Dataset field documentation! However, it is worth noting that the field Geographic Region
is documented as geographicRegion
and Region
. I guess that would be NCBI's responsibility to keep their documentation up-to-date.
Spaces in column names can require special handling (e.g. properly quoting column names) which I think our code has been made to handle. However, such spaces may post challenges in other languages, scripts, or projects. Replacing spaces with underscores in the NCBI Dataset fields, would still enable us to point to NCBI's documentation.
Nevertheless, I'm open to using dengue as a test pipeline to assess how our code handles columns with spaces. If needed, we can later reintroduce modifications to column titles.
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However, it is worth noting that the field Geographic Region is documented as geographicRegion and Region.
Oh right, I forgot that the NCBI reference docs have a nonintuitive set up. They have a top level "Geographic" column name that gets prepended to the VirusAssembly.CollectionLocation fields. The dataformat tsv virus-genome
docs for the available fields is a better place to see the full field names.
So I guess there's no that much benefit from keeping the space matching for the column names...Welp, maybe we should transform the names back to the mnemonics so that we only have to maintain one set of column mappings.
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I might be a bit uncertain on desired names for the final metadata, so any feedback is welcome.
I've been looking around for any documentation for standard Nextstrain metadata fields and found a page in the ncov workflow docs. I think we can use these standard metadata fields across all pathogens.
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I revised the metadata fields in 116f363 The fields do not exactly match the docs since we are not pulling in gisaid data, but I tried to adhere to the stylistic choices (e.g. underscores preferred, lowercase). I am open to discussing any of the field names on a call if that would be helpful. Just let me know.
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Looks like auspice requires accession
instead of genbank_accession
to render the link. Unless there's a workaround that I'm not seeing.
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Just documenting that this PR is on hold until we resolve following questions:
@@ -0,0 +1,87 @@ | |||
from snakemake.utils import min_version | |||
|
|||
min_version( |
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Minimum might actually be higher now that we use a default profile - something like 7.30
Below one might possibly need to pass in extra cli flags
"sra-accs", | ||
"submitter-names", | ||
"submitter-affiliation", | ||
] |
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There's a lot of duplication of these mappings here - it might be nice to deduplicate
Nested configs for s3 URLs are challenging to override by the Snakemake `--config` option, as discussed in the following comment: nextstrain/dengue#13 (comment) This moves the url to the top level, and propagate those changes to the relevant Snakefiles.
Recently learned that Snakemake no longer overwrites the entire config when providing nested config values via the `--config` option.¹ This allows us to remove the set-branch-ingest-config script and directly set branch config values via the command line option in our GitHub Action workflows. I've opted to use `jq` to interpolate the branch name into the S3_DST because I didn't want to fiddle with escaping quotes in the JSON string. ¹ nextstrain/dengue#13 (comment)
Recently learned that Snakemake no longer overwrites the entire config when providing nested config values via the `--config` option.¹ This allows us to remove the set-branch-ingest-config script and directly set branch config values via the command line option in our GitHub Action workflows. I've opted to use `jq` to interpolate the branch name into the S3_DST because I didn't want to fiddle with escaping quotes in the JSON string. ¹ nextstrain/dengue#13 (comment)
This is a copy of the ingest directory from the mpox repo: https://github.com/nextstrain/mpox/tree/c9b8282e2d56056c8b3c45fa860d931b320acd63 However, `ingest/vendored` subdirectory is not copied over since that folder should be added with `git subtree`. https://github.com/nextstrain/mpox/tree/c9b8282e2d56056c8b3c45fa860d931b320acd63/ingest/vendored#ingest Future commits will change this to work with Dengue data.
…/vendored subrepo: subdir: "ingest/vendored" merged: "a0faef5" upstream: origin: "https://github.com/nextstrain/ingest" branch: "main" commit: "a0faef5" git-subrepo: version: "0.4.6" origin: "https://github.com/ingydotnet/git-subrepo" commit: "110b9eb"
Temporary removal of Nextclade-related rules, pending the compilation of a Nextclade dengue dataset and potential v3 changes. May be added back in later.
Co-authored-by: Cornelius Roemer <[email protected]>
Originally the field map was created to keep mpox NDJSON backward compatible with field names used from NCBI Virus. However, this constraint is not applicable to dengue. This commit organizes field renaming into two parts. 1. Rename the NCBI output columns to match the NCBI mnemonics (see `source-data/ncbi-dataset-field-map.tsv`) 2. Where necessary, rename the NCBI mnemonics to match Nextstrain expected column names (see "transform: fieldmap:" in `config/config.yaml`) For context and discussion, see #13 (comment)
Originally the field map was created to keep mpox NDJSON backward compatible with field names used from NCBI Virus. However, this constraint is not applicable to dengue. This commit organizes field renaming into two parts. 1. Rename the NCBI output columns to match the NCBI mnemonics (see `source-data/ncbi-dataset-field-map.tsv`) 2. Where necessary, rename the NCBI mnemonics to match Nextstrain expected column names (see "transform: fieldmap:" in `config/config.yaml`) For context and discussion, see #13 (comment)
Originally the field map was created to keep mpox NDJSON backward compatible with field names used from NCBI Virus. However, this constraint is not applicable to dengue.¹ This commit organizes field renaming into two parts. 1. Rename the NCBI output columns to match the NCBI mnemonics² (see `source-data/ncbi-dataset-field-map.tsv`) 2. Where necessary, rename the NCBI mnemonics to match Nextstrain expected column names³ (see "transform: fieldmap:" in `config/config.yaml`) ¹ #13 (comment) ² https://www.ncbi.nlm.nih.gov/datasets/docs/v2/reference-docs/command-line/dataformat/tsv/dataformat_tsv_virus-genome/#fields ³ https://docs.nextstrain.org/projects/ncov/en/latest/reference/metadata-fields.html
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As I stated on Slack, if the workflow in this PR is producing the public files on data.nextstrain.org, then I think it's fine to merge into the main branch now.
We can tackle unresolved questions in subsequent PRs.
Originally the field map was created to keep mpox NDJSON backward compatible with field names used from NCBI Virus. However, this constraint is not applicable to dengue.¹ This commit organizes field renaming into two parts. 1. Rename the NCBI output columns to match the NCBI mnemonics² (see "ncbi_field_map:" in `config/config.yaml`) 2. Where necessary, rename the NCBI mnemonics to match Nextstrain expected column names³ (see "transform: fieldmap:" in `config/config.yaml`) ¹ #13 (comment) ² https://www.ncbi.nlm.nih.gov/datasets/docs/v2/reference-docs/command-line/dataformat/tsv/dataformat_tsv_virus-genome/#fields ³ https://docs.nextstrain.org/projects/ncov/en/latest/reference/metadata-fields.html
Description of proposed changes
Splitting out dengue ingest changes PR#6 into smaller, more focused pull requests. Especially since there have been significant improvements to linking reusable pathogen ingest scripts.
The primary scope of this PR includes:
ingest/vendored
subdirectory.To ease development and review, tasks that are not part of this PR but will be submitted as future PRs include:
Related issue(s)
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