Skip to main content

Excel Comment Orm

Project description

Exco

Build Sonarqube Quality Gate Status CodeQL codecov PyPI version

Excel Comment ORM. Declare ORM Spec descriptively right on the excel file.

What it does

The package allows you to declare orm mapping right in the excel file in the comments then use it to extract data from other similar files.

An example of a template is shown below.

Template

Dynamic Location, Validation, Assumptions, custom Parser are also supported.

Installation

pip install exco

Simple Usage

import exco
processor = exco.from_excel('./quickstart_template.xlsx')
result = processor.process_excel('./quickstart_data_file.xlsx')
print(result.to_dict())

See Also Quick Start Notebook

Exco Block

Exco relies on yml blocks inside excel comment to build a spec. Each comment can contain multiple blocks. There are three types of echo block: a cell block, a table block, and a column block.

Cell Block

A cellblock is a block of yml that is surrounded by {{-- and --}}

{{--
key: some_int
parser: int
--}}

This means that parse this cell as int and put it in the result with key some_int.

Other advance features like, fallback, locator, assumptions, validator are optional. The full specification is shown below.

{{--
key: some_value
# Optional default at_comment_cell
locator: {name: at_comment_cell} 
assumptions: # Optional
    - {key: right_of, name: right_of, label: marker}
parser: int
# Optional
fallback: 7 
# Optional. Dict[name, value].
params: {} 
validators: # Optional
    - {key: between, name: between, low: 5, high: 10 }
metadata: {unit: km}
--}}

Processing Flow.

The cell processing flow is

  1. Locating the Cell
  2. Check Assumption
  3. Parse
  4. Validation

Features

key

Key where the result will be put. This is required.

fallback

This is the most useful one where if the cell is failed locating, testing assumption, parsing. The fallback value is assumed. If it is not specified, the value None is used. (yml's none is null).

locator

Locator is a dictionary. The key name is the class name to be used to locate the cell. Other parameters can be flattened and put in the same dictionary. These parameters will be pass through the constructor of such class.

If the locator is left out, it is assumed to be at_comment_cell which locate the cell with exactly the same coordinate as the commented cell in the template.

assumptions

List of dictionaries. The key is the name of the check. name is the name of the class to be used in testing an assumption. Other parameters can be flattened and included in the same dictionary.

parser

Required. Name of the parser class.

params

Optional. Dictionary of the parameter name to its value. The spread values are passed through the parser constructor.

validations

Optional. List of Dictionary. Each dictionary must have key for the validation key and name, validator's class name, specified. Other parameters to be passed to the validator constructor can be flattened and specified in this dictionary as well.

metadata

Optional. Metadata. Dictionary of any object can be put here. The object will be parsed on to the result.

Table Block

A table block is for specifying the properties of the table. The table block is surrounded by {{--table and --}}. The simplest table block is

{{--table
key: some_table
--}}

This is typically what you need. A more complicated example is shown below:

{{--table
key: some_table
# optional. default at_comment_cell
locator: {name: at_comment_cell}
# optional. default downward
item_direction: downward
end_conditions:
    - {name: all_blank}
    - {name: max_row, n: 10, inclusive: true}
--}}

Features

key

where the table will be put in the result. The output for the table is a list of dictionaries where the key in the dictionaries is the column name specified in column blocks.

locator

Optional. Default at_comment_cell. Locator for the table anchor cell. Same as a cell block.

item_direction

Optional Direction for items in the table. Default downward. (rightward or downward)

end_conditions

A list of dictionary specifying each termination condition. The dictionary contains name and flattened parameters.

If any of the end condition is met then the parsing for the table terminates. Depending on the end condition's class, it may or may not include the matching row.

Column Block

Column block specifications are very similar to the cell block. The simplest example is shown below.

{{--col
table_key: some_table
key: some_col
parser: int
}}

The column block is very similar to the cell block. It is the cell block with table_key and without locator. The table_key tells which table it belongs to. It must match one of the table's key defined in the table block.

The position of the column cell when extracting value is computed from the relative position to the table block in the template.

All other features like fallback, assumptions, validations are also supported in the same fashion as the cell block.

Built-in Functions

Locator

at_comment_cell

Locate the cell right at the comment cell's coordinate in the template.

right_of

Locate the cell to the right of the cell or merged cell with the given label. In the case of a merged cell, right_of will pick the rightmost column and topmost row of the merged cell togo to the right of.

Parameters:

  • label label to match.
  • n Optional. Default value is 1. Indicates the number of columns to move from label cell to located cell.

search_right_of

Searches for non-empty cell right of the cell with the given value.

Parameters:

  • label label to match.
  • max_empty_col_search Indicates the maximum number of columns to search for non-empty cell right of label.

right_of_regex

Locate the cell to the right of the cell with a regex match. Similarly, in the case of a merged cell, right_of_regex will pick the rightmost column and topmost row of the merged cell togo to the right of.

Parameters:

  • regex string for the regular expression.
  • n Optional. Default value is 1. Indicates the number of columns to move from regex matched cell to located cell.

below_of

Locate the cell below of the cell with the given label. In the case of a merged cell, below_of will pick the bottommost row and leftmost column of the merged cell togo to the bottom of.

Parameters:

  • label label to match.
  • n Optional. Default value is 1. Indicates the number of rows to skip from label cell to located cell.

search_below_of

Searches for non-empty cell below of the cell with the given label.

Parameters:

  • label label to match.
  • max_empty_row_search Indicates the maximum number of rows to search for non-empty cell below of label.

below_of_regex

Locate the cell below of the cell with a regex match. Similarly, in the case of a merged cell, below_of_regex will pick the bottommost row and leftmost row of the merged cell togo to the bottom of.

Parameters:

  • regex string for the regular expression.
  • n Optional. Default value is 1. Indicates the number of rows to move from regex matched cell to located cell.

within

Locate the cell between a cell with the given label. This function searches to the right of or below of the cell with the given label. If it is to the right of, the function searches row by row while staying in between the column ranges of the cell with the given label. If it is below of, similarly, we search row by row while staying in between the row ranges of the cell with the given label. On top of this you have the option on how to pick your data (to the right of or beneath of) once you have found your desired key within the cell range.

Parameters:

  • label label of cell you want to search in between
  • find the name of the cell you want to find in between the cell with that label's range
  • direction direction you want to search for your value, choices are:
    • right_of this will search the right of the cell between the columns row wise
    • below_of this will search the beneath the cell between the rows row wise
  • perform the action you want to perform to fetch your data, your options are:
    • right_of fetch the value to the right of the cell labeled in find
    • below_of fetch the value to beneath of the cell labeled in find
  • n pick the value n values away in the specified perform direction (right_of or below_of)

Assumption

left_cell_match

This is useful in batch processing allowing us to check that we have the correct label to the left.

Parameters:

  • label string to check that it matches.

Parser

string

parse value as string.

int

parse the value as an integer.

float

parse the value as float

date

parser the value as a date.

Validator

between

valid if the value is between(inclusively) high and low

Parameters

  • high upper bound value.
  • low lower bound value

TableEndCondition

all_blank

Evaluate to true if all columns are blank.

max_row

Evaluate to true if the row number(start from 1) including the parsing row is greater than or equal to n.

Parameters

  • n number of row
  • inclusive Optional. Default True. Whether to include the row in which it evaluates to true.

cell_value

Evaluate to true if any column in row contains matching cell_value. Table terminates the row before.

Parameters

  • cell_value cell value to match.

Dereferencing

There are two types of dereferencing

  • Spec Creation time dereferencing. The string similar to <<A1>> will be resolved to the value at A1 of the template file.
  • Extraction time dereferencing. This string similar to ==A1== will be resolved to the value at A1 of the extracted file.

Here is an example

{{--
key: ==D2==
assumptions: # Optional
    - {key: right_of, name: right_of, label: <<A1>>}
parser: int
fallback: ==D3== 
--}}

Handle Identical Sheet with Different Names

When an excel file to be extracted has a different sheet name than the one in the template file, use sheet_name_checkers parameter in exco.from_excel() to create ExcelProcessor with sheet name alias checker.

For example, when the sheet name in the template file is 'Test 1/1/2021', but sheet names can be varied in the extracting files, i.e., 'Test 2/2/2022, 'Test 3/3/2023', etc.

import exco

SheetName = str
SheetNameAliasChecker = Callable[[SheetName], bool]
test_sheet_checker: SheetNameAliasChecker = lambda sheetname: 'Test' in sheetname
checkers: Dict[SheetName, SheetNameAliasChecker] = {'Test 1/1/2021': test_sheet_checker}
processor = exco.from_excel(template_excel_path, sheet_name_checkers=checkers)

In the case where there are hidden sheets that might have information that you dont want to extract, make sure to set the accept_only_visible_sheets parameter to True

processor = exco.from_excel(template_excel_path, sheet_name_checkers=checkers, accept_only_visible_sheets=True)

Custom Locator/Parser Etc.

See Advance Features Notebook. But, in essence,

processor = exco.from_excel('./custom_locator/custom_locator_template.xlsx',
                            extra_locators={'diagonal_of': DiagonalOfLocator})

Working with .xls files.

Exco will not read Excel 97-2003 workbook (.xls) files. Use XLS2XLSX to convert .xls files to the supported .xlsx format.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

exco-0.2.9.tar.gz (37.4 kB view details)

Uploaded Source

Built Distribution

exco-0.2.9-py3-none-any.whl (57.9 kB view details)

Uploaded Python 3

File details

Details for the file exco-0.2.9.tar.gz.

File metadata

  • Download URL: exco-0.2.9.tar.gz
  • Upload date:
  • Size: 37.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.16

File hashes

Hashes for exco-0.2.9.tar.gz
Algorithm Hash digest
SHA256 be840d67f2a9d848f221fee055b4383afc809347a2d86bc552a48f9d0cfe8c53
MD5 76fe00a470d9ded9af2c741b142c3bb6
BLAKE2b-256 0629e56c6c75edbe1881e9ed4ecd6688dafe1365809e2a53d5f7c1c302b812ea

See more details on using hashes here.

File details

Details for the file exco-0.2.9-py3-none-any.whl.

File metadata

  • Download URL: exco-0.2.9-py3-none-any.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.16

File hashes

Hashes for exco-0.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a7ce89831b7c38510488534bac3490ac9ee8590b17076b5a8b4e35f0dcdb9d13
MD5 d30d7686e98a9b49727c09a462c0e70a
BLAKE2b-256 afb8c3e8c5f3a8423cc4abce5936bb1ec6625db62d00307ba2bb27e8aedb7499

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page