The test for nested tables added a few PRs ago indirectly relies on the
padding added to table-HTML by `tabulate`. The length of that padding
turns out to be non-deterministic, perhaps related to M1 vs. Intel
hardware.
Remove padding from tabulate output in the test so only actual content
is compared.
Usage: ./unstructured-get-json.sh [options] <file>"
Options:
--api-key KEY Specify the API key for authentication. Set the env var $UNST_API_KEY to skip providing this option.
--hi-res hi_res strategy: Enable high-resolution processing, with layout segmentation and OCR
--fast fast strategy: No OCR, just extract embedded text
--ocr-only ocr_only strategy: Perform OCR (Optical Character Recognition) only. No layout segmentation.
--tables Enable table extraction: tables are represented as html in metadata
--coordinates Include coordinates in the output
--trace Enable trace logging for debugging, useful to cut and paste the executed curl call
--verbose Enable verbose logging including printing first 8 elements to stdout
--s3 Write the resulting output to s3 (like a pastebin)
--help Display this help and exit.
Arguments:
<file> File to send to the API.
The script requires a <file>, the document to post to the Unstructured API.
The .json result is written to ~/tmp/unst-outputs/ -- this path is echoed and copied to your clipboard.
When testing ingest tests, one often wants to keep the .json output or
generated metrics files around for inspection after the fact. This
updates the bash condition to actually honor the comment that mentions
# export UNSTRUCTURED_CLEANUP_DEV_FIXTURES=1
** Test Instructions **
Run:
export UNSTRUCTURED_CLEANUP_DEV_FIXTURES=1
./test_unstructured_ingest/src/s3.sh
./test_unstructured_ingest/evaluation-metrics.sh text-extraction
and witness test directories/files do not get cleaned up. E.g.,
`test_unstructured_ingest/metrics-tmp/`. One can also add a `set -x` at
the top of test_unstructured_ingest/cleanup.sh to see what is getting
skipped (it's a lot!).
- Copy script only went through one layer of subdirectory so it did not
found the match between manifest file and structured output. Now edited
to search all subdirectories.
- `set -e` causes the script to exit at any exit rather than `exit 0`,
fix all scripts that needs to run the copy script to be `set +e` right
before the check diff, then back to `set -e` after
- Edit the default evaluation metrics output from `metrics` to
`metrics-tmp` to account for diff check
- Add a script that checks the differences between old eval metric
output (metrics) and new eval metrics output (metrics-tmp)
- allow the overwrite destination to be set to the `OUTPUT_ROOT` instead
of default to script dir.
## test
run
```bash
OVERWRITE_FIXTURES=true OUTPUT_ROOT=/tmp ./test_unstructured_ingest/src/s3.sh
```
with this change we should find new files generated under
`/tmp/expected-structured-output/s3`.
Without this change there will be no such new files.
### Executive Summary
The structure of element metadata is currently static, meaning only
predefined fields can appear in the metadata. We would like the
flexibility for end-users, at their own discretion, to define and use
additional metadata fields that make sense for their particular
use-case.
### Concepts
A key concept for dynamic metadata is _known field_. A known-field is
one of those explicitly defined on `ElementMetadata`. Each of these has
a type and can be specified when _constructing_ a new `ElementMetadata`
instance. This is in contrast to an _end-user defined_ (or _ad-hoc_)
metadata field, one not known at "compile" time and added at the
discretion of an end-user to suit the purposes of their application.
An ad-hoc field can only be added by _assignment_ on an already
constructed instance.
### End-user ad-hoc metadata field behaviors
An ad-hoc field can be added to an `ElementMetadata` instance by
assignment:
```python
>>> metadata = ElementMetadata()
>>> metadata.coefficient = 0.536
```
A field added in this way can be accessed by name:
```python
>>> metadata.coefficient
0.536
```
and that field will appear in the JSON/dict for that instance:
```python
>>> metadata = ElementMetadata()
>>> metadata.coefficient = 0.536
>>> metadata.to_dict()
{"coefficient": 0.536}
```
However, accessing a "user-defined" value that has _not_ been assigned
on that instance raises `AttributeError`:
```python
>>> metadata.coeffcient # -- misspelled "coefficient" --
AttributeError: 'ElementMetadata' object has no attribute 'coeffcient'
```
This makes "tagging" a metadata item with a value very convenient, but
entails the proviso that if an end-user wants to add a metadata field to
_some_ elements and not others (sparse population), AND they want to
access that field by name on ANY element and receive `None` where it has
not been assigned, they will need to use an expression like this:
```python
coefficient = metadata.coefficient if hasattr(metadata, "coefficient") else None
```
### Implementation Notes
- **ad-hoc metadata fields** are discarded during consolidation (for
chunking) because we don't have a consolidation strategy defined for
those. We could consider using a default consolidation strategy like
`FIRST` or possibly allow a user to register a strategy (although that
gets hairy in non-private and multiple-memory-space situations.)
- ad-hoc metadata fields **cannot start with an underscore**.
- We have no way to distinguish an ad-hoc field from any "noise" fields
that might appear in a JSON/dict loaded using `.from_dict()`, so unlike
the original (which only loaded known-fields), we'll rehydrate anything
that we find there.
- No real type-safety is possible on ad-hoc fields but the type-checker
does not complain because the type of all ad-hoc fields is `Any` (which
is the best available behavior in my view).
- We may want to consider whether end-users should be able to add ad-hoc
fields to "sub" metadata objects too, like `DataSourceMetadata` and
conceivably `CoordinatesMetadata` (although I'm not immediately seeing a
use-case for the second one).
Canonicalize JSON produced for ingest tests such that incidental changes
is _form_ of the JSON objects (keys moving around) that does not change
the _content_ of that JSON object does not trigger an ingest-test
failure.
Closes#2059.
We've found some pdfs that throw an error in pdfminer. These files use a
ICCBased color profile but do not include an expected value `N`. As a
workaround, we can wrap pdfminer and drop any colorspace info, since we
don't need to render the document.
To verify, try to partition the document in the linked issue.
```
elements = partition(filename="google-2023-environmental-report_condensed.pdf", strategy="fast")
```
---------
Co-authored-by: cragwolfe <crag@unstructured.io>
Closes#2038.
### Summary
The `fast` strategy should not fall back to a more expensive strategy.
### Testing
For
[9493801-p17.pdf](https://github.com/Unstructured-IO/unstructured/files/13292884/9493801-p17.pdf),
the following code should return an empty list.
```
elements = partition(filename=filename, strategy="fast")
```
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: christinestraub <christinestraub@users.noreply.github.com>
Fixes a bug where `TypeError: 'NoneType' object is not iterable` raises
due to variable `res` returning as None
Checks the existence of `res` before iteration
- parametrize the output folder paths and expected output folder paths
in comparison scripts
- now allow user to use env `OUTPUT_ROOT` to control where the output
and expected output is
- currently assumes output from test and expected output are in the same
directory; this may need separation later
## test
run
```bash
OUTPUT_ROOT=/tmp ./test_unstructured_ingest/test-ingest-src.sh
```
and it should show files changed but not able to show diff since there
is no expected output content at `OUTPUT_ROOT`.
Then run
```bash
cp -R test_unstructured_ingest/expected-* /tmp/
OUTPUT_ROOT=/tmp ./test_unstructured_ingest/test-ingest-src.sh
```
we can see (due to CI and local instance producing different results)
actual line by line diff
### Summary
Closes#2011
`languages` was missing from the metadata when partitioning pdfs via
`hi_res` and `fast` strategies and missing from image partitions via
`hi_res`. This PR adds `languages` to the relevant function calls so it
is included in the resulting elements.
### Testing
On the main branch, `partition_image` will include `languages` when
`strategy='ocr_only'`, but not when `strategy='hi_res'`:
```
filename = "example-docs/english-and-korean.png"
from unstructured.partition.image import partition_image
elements = partition_image(filename, strategy="ocr_only", languages=['eng', 'kor'])
elements[0].metadata.languages
elements = partition_image(filename, strategy="hi_res", languages=['eng', 'kor'])
elements[0].metadata.languages
```
For `partition_pdf`, `'ocr_only'` will include `languages` in the
metadata, but `'fast'` and `'hi_res'` will not.
```
filename = "example-docs/korean-text-with-tables.pdf"
from unstructured.partition.pdf import partition_pdf
elements = partition_pdf(filename, strategy="ocr_only", languages=['kor'])
elements[0].metadata.languages
elements = partition_pdf(filename, strategy="fast", languages=['kor'])
elements[0].metadata.languages
elements = partition_pdf(filename, strategy="hi_res", languages=['kor'])
elements[0].metadata.languages
```
On this branch, `languages` is included in the metadata regardless of
strategy
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: Coniferish <Coniferish@users.noreply.github.com>
Closes#2050.
### Summary
- set zoom to `1` if zoom is less than `0` when parsing Tesseract OCR
data
- update `determine_pdf_auto_strategy` to return the `hi_res` strategy
if either `infer_table_structure` or `extract_images_in_pdf` is true
### Testing
PDF:
[getty_62-62.pdf](https://github.com/Unstructured-IO/unstructured/files/13322169/getty_62-62.pdf)
Run the following code in both the `main` branch and the `current`
branch.
```
from unstructured.partition.pdf import partition_pdf
elements = partition_pdf(
filename="getty_62-62.pdf",
extract_images_in_pdf=True,
infer_table_structure=True,
chunking_strategy="by_title",
max_characters=4000,
new_after_n_chars=3800,
combine_text_under_n_chars=2000,
image_output_dir_path=path,
)
```
Closes#2027
Tables or pages that contain only numbers are returned as floats in a
pandas.DataFrame when the image or page is converted from
`.image_to_data()`. An AttributeError was raised downstream when trying
to `.strip()` the floats. This update converts those floats if needed
and otherwise strips the text.
Testing (note: the document used for testing is new, so you will have to
copy it to the main branch in order to see that this snippet raises an
AttributeError on the main branch, but works on this branch)
```
from unstructured.partition.pdf import partition_pdf
filename = "example-docs/all-number-table.pdf"
partition_pdf(filename, strategy="ocr_only")
```
---------
Co-authored-by: cragwolfe <crag@unstructured.io>
Fixes the Makefile `ingest-` targets were broken in
https://github.com/Unstructured-IO/unstructured/pull/1799/files.
**Test Instructions**
for maketarget in $(grep .PHONY Makefile | grep install-ingest | perl -p
-e 's/.PHONY://' | tr -d '\n'); do
echo $maketarget; make $maketarget
done
Page breaks are reliably indicated by `w:lastRenderedPageBreak` elements
present in the document XML. Page breaks are NOT reliably indicated by
"hard" page-breaks inserted by the author and when present are redundant
to a `w:lastRenderedPageBreak` element so cause over-counting if used.
Use rendered page-breaks only.
### Summary
- add constants for element type
- replace the `TYPE_TO_TEXT_ELEMENT_MAP` dictionary using the
`ElementType` constants
- replace element type strings using the constants
### Testing
CI should pass.
This metadata field is assumedly vestigial and is unused by any code in
the repo. `max_characters` is an optional argument to `chunk_by_title()`
and has meaning in that context, but is not written to the metadata.
Remove this unused field.
A DOCX document that has no sections can still contain one or more
tables. Such files are never created by Word but Word can open them just
fine. These can be and are generated by other applications.
Use the newly-added `Document.iter_inner_content()` method added
upstream in `python-docx` to capture both paragraphs and tables from a
section-less DOCX document.
This generalizes the fix for MS Teams chat-transcripts (an example of
sectionless-docx) implemented in #1825.
### Summary
Previously, the holistic evaluation script was a copy of the ingest
evaluation function with some modifications to aggregate the data by
doctype. This refactor instead takes the result of the
`measure_text_edit_distance` function (used by ingest) and aggregates
the results by doctype. This pattern can also be followed by future
aggregations we may want to perform.
### Test
Confirm the doctype aggregation functionality of the
`aggregate_cct_data_by_doctype` function by calling it on the ingest
metrics result sheet:
(from the top level unstructured folder)
```
python -c 'from unstructured.metrics.doctype_aggregation import *; aggregate_cct_data_by_doctype("./test_unstructured_ingest/metrics")'
```
The aggregated result will be written to the same metrics folder.
<img width="680" alt="Screenshot 2023-11-03 at 2 56 20 PM"
src="https://github.com/Unstructured-IO/unstructured/assets/42684285/7250191b-bdf7-4e9f-99ca-ddbe7ee74ac5">
Closes#1064
When using the `--partition-by-api` flag via unstructured-ingest, none
of the partition arguments are forwarded, meaning that these options are
disregarded. With this change, we now pass through all of the relevant
partition arguments to the api.
## Changes
* parse and pass relevant partition arguments to the api in
unstructured-ingest
* bonus: leverage an existing `partition.api` function to call out to
the api rather than including duplicative request logic in unstructured
ingest
* bonus: --pdf-infer-table-structure is now a flag not an arg (it
defaults false anyways, this is more succinct and consistent with
similar parameters)
* bonus: adds `hi_res_model_name` so a user can specify the model to
leverage when using a hi_res strategy.
## Testing
* update against_api.sh source test script to specify a partition
argument and validates that the response from the api respected the
argument
* manually ran a request and validated that it was processed with
chipper as specified (not sure if we want to bake a chipper request into
the ci tests) (validated that the response leveraged the chipper model):
```
PYTHONPATH=. ./unstructured/ingest/main.py \
local \
--output-dir /tmp/ingest-requests/chipper \
--verbose \
--reprocess \
--strategy hi_res \
--partition-by-api \
--hi-res-model-name chipper \
--api-key "$API_KEY" \
--input-path 'example-docs/layout-parser-paper-with-table.pdf'
```
### Description
Add a `check_connection` method to each connector to easily be able to
check it without running the full ingest process. As part of this PR,
some refactoring done to allow clients to be shared and populated across
the `check_connection` method and the `initialize` method, allowing for
the `check_connection` method to be called without having to rely on the
`initialize` one to be called first.
* bonus: fix the changelog
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Courtesy @cdpierse.
Adds a test to PR #1529 in accordance with feedback.
Description from original PR:
In python the default behaviour of `requests.get` without a `timeout`
being set is to hang indefinitely. We have a production use case where
the desired behaviour would be to raise a timeout error rather than have
the application just hang.
This PR adds a new optional keyword parameter `request_timeout` to
`partition` which is passed to `file_and_type_from_url` in the case
where we are fetching from a URL. This is then passed to `requests.get`
---------
Co-authored-by: Charles Pierse <charlespierse@gmail.com>
In DOCX, like HTML, a table cell can itself contain a table. This is not
uncommon and is typically used for formatting purposes.
When a DOCX table is nested, create nested HTML tables to reflect that
structure and create a plain-text table with captures all the text in
nested tables, formatting it as a reasonable facsimile of a table.
This implements the solution described and spiked in PR #1952.
---------
Co-authored-by: Bruno Bornsztein <bruno.bornsztein@gmail.com>
Intermittently the various destination test will fail with:
```
{noformat}--- Cleanup done ---
gs://utic-test-ingest-fixtures-output/1699377964/example-docs/
deleting gs://utic-test-ingest-fixtures-output/1699377964
Removing objects:
ERROR: (gcloud.storage.rm) The following URLs matched no objects or files:
-gs://utic-test-ingest-fixtures-output/1699377964
Last ran script: gcs.sh
Error: Process completed with exit code 1.{noformat}
```
Reference trace
[here](https://github.com/Unstructured-IO/unstructured/actions/runs/6787927424/job/18452240764?pr=2020)
After some investigation it looks like this error is due to collisions
that occur because we’re assuming 1s date accuracy is sufficient when
generating (and deleting) "unique" test destination location names. The
likelihood is actually pretty high given that we run these tests against
a test matrix.
Instead we should just use a uuid for these unique destinations.
## Changes
- Use uuidgen instead of `date +%s` for unique destinations
### Summary
Click decorated functions cannot (properly) be called outside of the
click interface. This makes it difficult to reuse the setup
functionality in measure_text_edit_distance or
measure_element_type_accuracy. This PR removes the click decoration and
separates it into a wrapper function purely to execute the command.
### Technical Details
- Changed as suggested in [this StackOverflow
post](https://stackoverflow.com/questions/40091347/call-another-click-command-from-a-click-command)
response
- The locations of these now distinct functions are separate: the
`_command` click-decorated functions stay in ingest/evaluate.py, and the
core functions measure_text_edit_distance and
measure_element_type_accuracy are moved into the unstructured/metrics/
folder (which is a more logical location for them).
- Initial test added for measure_text_edit_distance
### Test
`sh ./test_unstructured_ingest/evaluation-metrics.sh text-extraction`
functionality is unchanged.
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: shreyanid <shreyanid@users.noreply.github.com>
Co-authored-by: Trevor Bossert <37596773+tabossert@users.noreply.github.com>
Summary:
Close: https://github.com/Unstructured-IO/unstructured/issues/1920
* stop passing in empty string from `languages` to tesseract, which will
result in passing empty string to language config `-l` for the tesseract
CLI
* also stop passing in duplicate language code from `languages` to
tesseract OCR
* if we failed to convert any iso languages from the `languages`
parameter, proceed OCR with `eng` as default
### Test
* First confirm the tesseract error `Estimating resolution as X` before
this:
* on the `unstructured-api` repo with main branch, run `make
run-web-app`
* curl to test error from empty string, or just any wrong input like `-F
'languages="eng,de"'`:
```
curl -X 'POST' 'http://0.0.0.0:8000/general/v0/general' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-F 'files=@sample-docs/layout-parser-paper-with-table.jpg' \
-F 'languages=""' \
-F 'strategy=hi_res' \
-F 'pdf_infer_table_structure=True' \
| jq -C . | less -R
```
* after this change:
* in your unstructured API env, cd to unstructured repo and install it locally with `pip install -e .`
* check out to this branch
* run `make run-web-app` again in api repo
* the curl command return output and see warning in log
---------
Co-authored-by: qued <64741807+qued@users.noreply.github.com>
Per @tabossert we're now using a link shortener behind which we can
rotate the link to keep it current. That way we (🤞 ) never have to
update this here again.
#### Testing:
Links should work. No more links should exist in the documentation
except this one.
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>
We currently have a method to trigger the ingest fixture workflow by
commit message in addition to workflow dispatch (the trigger in gha
gui). The former requires that the workflow run on every push. Because
nobody uses the former, let's scrap it and save the time in CI.
### Description
* A full schema was introduced to map the type of all output content
from the json partition output and mapped to a flattened table structure
to leverage table-based destination connectors. The delta table
destination connector was updated at the moment to take advantage of
this.
* Existing method to convert to a dataframe was updated because it had a
bug in it. Object content in the metadata would have the key name
changed when flattened but then this would be omitted since it didn't
exist in the `_get_metadata_table_fieldnames` response.
* Unit test was added to make sure we handle all values possible in an
Element when converting to a table
* Delta table ingest test was split into a source and destination test
(looking ahead to split these up in CI)
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: rbiseck3 <rbiseck3@users.noreply.github.com>
### Description
Update all destination tests to match pattern:
* Don't omit any metadata to check full schema
* Move azure cognitive dest test from src to dest
* Split delta table test into seperate src and dest tests
* Fix azure cognitive search and add to dest tests being run (wasn't
being run originally)
Remove bullets not related to end-user consumption of the unstructured
library.
Co-authored-by: shreyanid <42684285+shreyanid@users.noreply.github.com>
This PR resolves
[CORE-2453](https://unstructured-ai.atlassian.net/browse/CORE-2453):
- parametrizes the output folder so that ingest output files can be
saved other than the same place where the scripts are; this is set by
env `OUTPUT_ROOT`
- parametrize the python path `PYTHONPATH` to first check existing
definition before default to `.`, the current folder
- parametrize the run script that carries out ingest using `RUN_SCRIPT`,
default is still `./unstructured/ingest/main.py`
These changes allows us to run ingest test with more control. To test:
- run `OUTPUT_ROOT=/tmp
./test_unstructured_ingest/src/local-single-file.sh`: the output now
should be in `/tmp` instead of in the ingest test folder
- run `RUN_SCRIPT=/hope/you/do/not/have/this/folder
./test_unstructured_ingest/src/local-single-file.sh` would raise an
error because system can't find `/hope/you/do/not/have/this/folder`
- run `RUN_SCRIPT=./unstructured/ingest/main.py
./test_unstructured_ingest/src/local-single-file.sh` should run as
normal
- do the following
```bash
cp ./unstructured/ingest/main.py /tmp/main.py
OUTPUT_ROOT=/tmp PYTHONPATH=$(pwd) RUN_SCRIPT=./unstructured/ingest/main.py ./test_unstructured_ingest/src/local-single-file.sh
```
This will run and generate output at `/tmp`
[CORE-2453]:
https://unstructured-ai.atlassian.net/browse/CORE-2453?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ
