When passed an absolute file path for the input document path, the local
connector incorrectly writes the output file to the wrong directory.
Also, in the single file input path cases we are currently including
parent path as part of the destination writing, instead when a single
file is specified as input the output file should be located directly in
the specified outputs directory. Note: this change meant that we needed
to bump the file path of some expected results. This fixes such that the
output in this case is written to `output-dir/input-filename.json`.
## Changes
- Fix for incorrect output path of files partitioned via the local
connector when the input path is a file path (rather than directory)
- Updated single-local-file test to validate the flow where we specify
an absolute file path (since this was particularly broken)
## Testing
Note: running the updated `local-single-file` test without the changes
to the local connector will result in a final output copy of:
```
Copying /Users/ryannikolaidis/Development/unstructured/unstructured/test_unstructured_ingest/workdir/local-single-file/partitioned/a48c2abec07a9a31860429f94e5a6ade.json -> /Users/ryannikolaidis/Development/unstructured/unstructured/test_unstructured_ingest/../example-docs/language-docs/UDHR_first_article_all.txt.json
```
where the output path is the input path and not the expected
`output-dir/input-filename.json`
Running with this change we can now expect the file at that directory.
---------
Co-authored-by: ryannikolaidis <ryannikolaidis@users.noreply.github.com>
Closes#1782
This PR:
- Extends ingest pipeline so that it is possible to select an embedding
provider from a range of providers
- Modifies the ingest embedding test to be a diff test, since the
embedding vectors are reproducible after supporting multiple providers
Additional info on the chosen provider for the test:
- Found `langchain.embeddings.HuggingFaceEmbeddings` to be deterministic
even when there's no seed set
- Took 6.84s to pass a unit test with the provider (without cache,
including model download)
- `langchain.embeddings.HuggingFaceEmbeddings` runs in local, making it
zero cost
For all these reasons, testing embedding modules with the Huggingface
model seems to be making sense
---------
Co-authored-by: cragwolfe <crag@unstructured.io>
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: ahmetmeleq <ahmetmeleq@users.noreply.github.com>
