yujunjun/unstructured
1
0
Fork 0
mirror of https://github.com/Unstructured-IO/unstructured.git synced 2025-08-28 02:36:40 +00:00
Code Issues Packages Projects Releases Wiki Activity
929 Commits 211 Branches 202 Tags
Commit Graph

9 Commits

Author SHA1 Message Date
Amanda Cameron
0584e1d031
chore: fix infer_table bug (#1833) 
Carrying `skip_infer_table_types` to `infer_table_structure` in
partition flow. Now PPT/X, DOC/X, etc. Table elements should not have a
`text_as_html` field.

Note: I've continued to exclude this var from partitioners that go
through html flow, I think if we've already got the html it doesn't make
sense to carry the infer variable along, since we're not 'infer-ing' the
html table in these cases.


TODO:
✅  add unit tests

---------

Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: amanda103 <amanda103@users.noreply.github.com>
 2023-10-24 00:11:53 +00:00
John
9500d04791
detect document language across all partitioners (#1627) 
### Summary
Closes #1534 and #1535
Detects document language using `langdetect` package. 
Creates new kwargs for user to set the document language (`languages`)
or detect the language at the element level instead of the default
document level (`detect_language_per_element`)

---------

Co-authored-by: shreyanid <42684285+shreyanid@users.noreply.github.com>
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: Coniferish <Coniferish@users.noreply.github.com>
Co-authored-by: cragwolfe <crag@unstructured.io>
Co-authored-by: Austin Walker <austin@unstructured.io>
 2023-10-11 01:47:56 +00:00
Klaijan
0a65fc2134
feat: xlsx subtable extraction (#1585) 
**Executive Summary**
Unstructured is now able to capture subtables, along with other text
element types within the `.xlsx` sheet.

**Technical Details**
- The function now reads the excel *without* header as default
- Leverages the connected components search to find subtables within the
sheet. This search is based on dfs search
- It also handle the overlapping table or text cases
- Row with only single cell of data is considered not a table, and
therefore passed on the determine the element type as text
- In connected elements, it is possible to have table title, header, or
footer. We run the count for the first non-single empty rows from top
and bottom to determine those text

**Result**
This table now reads as:
<img width="747" alt="image"
src="https://github.com/Unstructured-IO/unstructured/assets/2177850/6b8e6d01-4ca5-43f4-ae88-6104b0174ed2">

```
[
    {
        "type": "Title",
        "element_id": "3315afd97f7f2ebcd450e7c939878429",
        "metadata": {
            "filename": "vodafone.xlsx",
            "file_directory": "example-docs",
            "last_modified": "2023-10-03T17:51:34",
            "filetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            "parent_id": "3315afd97f7f2ebcd450e7c939878429",
            "languages": [
                "spa",
                "ita"
            ],
            "page_number": 1,
            "page_name": "Index",
            "text_as_html": "<table border=\"1\" class=\"dataframe\">\n  <tbody>\n    <tr>\n      <td>Topic</td>\n      <td>Period</td>\n      <td></td>\n      <td></td>\n      <td>Page</td>\n    </tr>\n    <tr>\n      <td>Quarterly revenue</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <td>Group financial performance</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <td>Segmental results</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <td>Segmental analysis</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <td>Cash flow</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>5</td>\n    </tr>\n  </tbody>\n</table>"
        },
        "text": "Financial performance"
    },
    {
        "type": "Table",
        "element_id": "17f5d512705be6f8812e5dbb801ba727",
        "metadata": {
            "filename": "vodafone.xlsx",
            "file_directory": "example-docs",
            "last_modified": "2023-10-03T17:51:34",
            "filetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            "parent_id": "3315afd97f7f2ebcd450e7c939878429",
            "languages": [
                "spa",
                "ita"
            ],
            "page_number": 1,
            "page_name": "Index",
            "text_as_html": "<table border=\"1\" class=\"dataframe\">\n  <tbody>\n    <tr>\n      <td>Topic</td>\n      <td>Period</td>\n      <td></td>\n      <td></td>\n      <td>Page</td>\n    </tr>\n    <tr>\n      <td>Quarterly revenue</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <td>Group financial performance</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <td>Segmental results</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <td>Segmental analysis</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <td>Cash flow</td>\n      <td>FY 22</td>\n      <td>FY 23</td>\n      <td></td>\n      <td>5</td>\n    </tr>\n  </tbody>\n</table>"
        },
        "text": "\n\n\nTopic\nPeriod\n\n\nPage\n\n\nQuarterly revenue\nNine quarters to 30 June 2023\n\n\n1\n\n\nGroup financial performance\nFY 22\nFY 23\n\n2\n\n\nSegmental results\nFY 22\nFY 23\n\n3\n\n\nSegmental analysis\nFY 22\nFY 23\n\n4\n\n\nCash flow\nFY 22\nFY 23\n\n5\n\n\n"
    },
    {
        "type": "Title",
        "element_id": "8a9db7161a02b427f8fda883656036e1",
        "metadata": {
            "filename": "vodafone.xlsx",
            "file_directory": "example-docs",
            "last_modified": "2023-10-03T17:51:34",
            "filetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            "parent_id": "8a9db7161a02b427f8fda883656036e1",
            "languages": [
                "spa",
                "ita"
            ],
            "page_number": 1,
            "page_name": "Index",
            "text_as_html": "<table border=\"1\" class=\"dataframe\">\n  <tbody>\n    <tr>\n      <td>Topic</td>\n      <td>Period</td>\n      <td></td>\n      <td></td>\n      <td>Page</td>\n    </tr>\n    <tr>\n      <td>Mobile customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <td>Fixed broadband customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <td>Marketable homes passed</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <td>TV customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <td>Converged customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <td>Mobile churn</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <td>Mobile data usage</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <td>Mobile ARPU</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>13</td>\n    </tr>\n  </tbody>\n</table>"
        },
        "text": "Operational metrics"
    },
    {
        "type": "Table",
        "element_id": "d5d16f7bf9c7950cd45fae06e12e5847",
        "metadata": {
            "filename": "vodafone.xlsx",
            "file_directory": "example-docs",
            "last_modified": "2023-10-03T17:51:34",
            "filetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            "parent_id": "8a9db7161a02b427f8fda883656036e1",
            "languages": [
                "spa",
                "ita"
            ],
            "page_number": 1,
            "page_name": "Index",
            "text_as_html": "<table border=\"1\" class=\"dataframe\">\n  <tbody>\n    <tr>\n      <td>Topic</td>\n      <td>Period</td>\n      <td></td>\n      <td></td>\n      <td>Page</td>\n    </tr>\n    <tr>\n      <td>Mobile customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <td>Fixed broadband customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <td>Marketable homes passed</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <td>TV customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <td>Converged customers</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <td>Mobile churn</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <td>Mobile data usage</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <td>Mobile ARPU</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>13</td>\n    </tr>\n  </tbody>\n</table>"
        },
        "text": "\n\n\nTopic\nPeriod\n\n\nPage\n\n\nMobile customers\nNine quarters to 30 June 2023\n\n\n6\n\n\nFixed broadband customers\nNine quarters to 30 June 2023\n\n\n7\n\n\nMarketable homes passed\nNine quarters to 30 June 2023\n\n\n8\n\n\nTV customers\nNine quarters to 30 June 2023\n\n\n9\n\n\nConverged customers\nNine quarters to 30 June 2023\n\n\n10\n\n\nMobile churn\nNine quarters to 30 June 2023\n\n\n11\n\n\nMobile data usage\nNine quarters to 30 June 2023\n\n\n12\n\n\nMobile ARPU\nNine quarters to 30 June 2023\n\n\n13\n\n\n"
    },
    {
        "type": "Title",
        "element_id": "f97e9da0e3b879f0a9df979ae260a5f7",
        "metadata": {
            "filename": "vodafone.xlsx",
            "file_directory": "example-docs",
            "last_modified": "2023-10-03T17:51:34",
            "filetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            "parent_id": "f97e9da0e3b879f0a9df979ae260a5f7",
            "languages": [
                "spa",
                "ita"
            ],
            "page_number": 1,
            "page_name": "Index",
            "text_as_html": "<table border=\"1\" class=\"dataframe\">\n  <tbody>\n    <tr>\n      <td>Topic</td>\n      <td>Period</td>\n      <td></td>\n      <td></td>\n      <td>Page</td>\n    </tr>\n    <tr>\n      <td>Average foreign exchange rates</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <td>Guidance rates</td>\n      <td>FY 23/24</td>\n      <td></td>\n      <td></td>\n      <td>14</td>\n    </tr>\n  </tbody>\n</table>"
        },
        "text": "Other"
    },
    {
        "type": "Table",
        "element_id": "080e1a745a2a3f2df22b6a08d33d59bb",
        "metadata": {
            "filename": "vodafone.xlsx",
            "file_directory": "example-docs",
            "last_modified": "2023-10-03T17:51:34",
            "filetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
            "parent_id": "f97e9da0e3b879f0a9df979ae260a5f7",
            "languages": [
                "spa",
                "ita"
            ],
            "page_number": 1,
            "page_name": "Index",
            "text_as_html": "<table border=\"1\" class=\"dataframe\">\n  <tbody>\n    <tr>\n      <td>Topic</td>\n      <td>Period</td>\n      <td></td>\n      <td></td>\n      <td>Page</td>\n    </tr>\n    <tr>\n      <td>Average foreign exchange rates</td>\n      <td>Nine quarters to 30 June 2023</td>\n      <td></td>\n      <td></td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <td>Guidance rates</td>\n      <td>FY 23/24</td>\n      <td></td>\n      <td></td>\n      <td>14</td>\n    </tr>\n  </tbody>\n</table>"
        },
        "text": "\n\n\nTopic\nPeriod\n\n\nPage\n\n\nAverage foreign exchange rates\nNine quarters to 30 June 2023\n\n\n14\n\n\nGuidance rates\nFY 23/24\n\n\n14\n\n\n"
    }
]
```
 2023-10-04 13:30:23 -04:00
shreyanid
32bfebccf7
feat: introduce language detection function for text partitioning function (#1453) 
### Summary
Uses `langdetect` to detect all languages present in the input document.

### Details
- Converts all language codes (whether user inputted or detected using
`langdetect`) to a standard ISO 639-3 code.
- Adds `languages` field to the metadata
- Will revisit how to nonstandardly represent simplified vs traditional
Chinese scripts internally (separate PR).
- Update ingest test results to add `languages` field to documents. Some
other side effects are changes in order of some elements and changes in
element categorization

### Test
You can test the detect_languages function individually by importing the
function and inputting a text sample and optionally a language:
```
text = "My lubimy mleko i chleb."
doc_langs = detect_languages(text)
print(doc_langs)
```
-> ['ces', 'pol', 'slk']

---------

Co-authored-by: Newel H <37004249+newelh@users.noreply.github.com>
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>
Co-authored-by: Ronny H <138828701+ron-unstructured@users.noreply.github.com>
 2023-09-26 18:09:27 +00:00
ryannikolaidis
955efac935
fix: SharePoint connector fails if any document has an unsupported filetype (#1493) 2023-09-22 18:47:28 +00:00
rvztz
2f52df180f
Adds data source properties to onedrive, reddit and slack (#1281) 2023-09-20 04:26:36 +00:00
John
9f7bd6127b
enhancement: Add include_header kwarg for xlsx, default True(#1125) 
Closes Github issue #1121

Adds include_header kwarg to partition_xlsx and change default behavior to True.
 2023-08-17 04:16:23 +00:00
Christine Straub
b76d2ee745
feat: track emphasized text msword (#1048) 
* feat: add functionality to track emphasized text (`bold/italic` formatting) from paragraph

* chore: add docstring

* chore: fix lint errors

* feat: ignore spaces when extracting emphasized texts from a paragraph

* feat: add functionality to track emphasized text (`bold/italic` formatting) from table

* test: add test case for grabbing emphasized texts from element metadata

* chore: fix lint errors

* chore: update changelog & version

* Update ingest test fixtures (#1047)
 2023-08-04 17:04:12 -04:00
rvztz
ce20c3f2bc
feat: add OneDrive connector (#834) 2023-07-13 20:57:54 +00:00