BNF Mets/Alto importer

This importer extends the generic Mets/Alto importer, and it was developed to handle OCR newspaper data provided by the BNF.

BNF Custom classes

This module contains the definition of BNF importer classes.

The classes define newspaper Issues and Pages objects which convert OCR data in the BNF version of the Mets/Alto format to a unified canoncial format. Theses classes are subclasses of generic Mets/Alto importer classes.

class text_importer.importers.bnf.classes.BnfNewspaperIssue(issue_dir: IssueDir)

Newspaper Issue in BNF (Mets/Alto) format.

All functions defined in this child class are specific to parsing BNF Mets/Alto format.

Parameters:: issue_dir (IssueDir) – Identifying information about the issue.

id

Canonical Issue ID (e.g. GDL-1900-01-02-a).

Type:: str

edition

Lower case letter ordering issues of the same day.

Type:: str

journal

Newspaper unique identifier or name.

Type:: str

path

Path to directory containing the issue’s OCR data.

Type:: str

date

Publication date of issue.

Type:: datetime.date

issue_data

Issue data according to canonical format.

Type:: dict[str, Any]

pages

list of NewspaperPage instances from this issue.

Type:: list

rights

Access rights applicable to this issue.

Type:: str

image_properties

metadata allowing to convert region OCR/OLR coordinates to iiif format compliant ones.

Type:: dict[str, Any]

ark_id

Issue ARK identifier, for the issue’s pages’ iiif links.

Type:: int

issue_uid

Basename of the Mets XML file of this issue.

Type:: str

secondary_date

Potential secondary date of issue.

Type:: datetime.date

property xml: BeautifulSoup

Read Mets XML file of the issue and create a BeautifulSoup object.

Returns:: BeautifulSoup object with Mets XML of the issue.
Return type:: BeautifulSoup

class text_importer.importers.bnf.classes.BnfNewspaperPage(_id: str, number: int, filename: str, basedir: str)

Newspaper page in BNF (Mets/Alto) format.

Parameters:

_id (str) – Canonical page ID.
number (int) – Page number.
filename (str) – Name of the Alto XML page file.
basedir (str) – Base directory where Alto files are located.

id

Canonical Page ID (e.g. GDL-1900-01-02-a-p0004).

Type:: str

number

Page number.

Type:: int

page_data

Page data according to canonical format.

Type:: dict[str, Any]

issue

Issue this page is from.

Type:: NewspaperIssue

filename

Name of the Alto XML page file.

Type:: str

basedir

Base directory where Alto files are located.

Type:: str

encoding

Encoding of XML file. Defaults to ‘utf-8’.

Type:: str, optional

is_gzip

Whether the page’s corresponding file is in .gzip.

Type:: bool

ark_link

IIIF Ark identifier for this page.

Type:: str

add_issue(issue: MetsAltoNewspaperIssue) → None

Add to a page object its parent, i.e. the newspaper issue.

This allows each page to preserve contextual information coming from the newspaper issue.

Parameters:: issue (NewspaperIssue) – Newspaper issue containing this page.

parse() → None: Process the page XML file and transform into canonical Page format.

Note

This lazy behavior means that the page contents are not processed upon creation of the page object, but only once the parse() method is called.

property xml: BeautifulSoup

Read Alto XML file of the page and create a BeautifulSoup object.

Redefined function as for some issues, the pages are in gz format.

Returns:: BeautifulSoup object with Alto XML of the page.
Return type:: BeautifulSoup

BNF Detect functions

This module contains helper functions to find BNF OCR data to import.

text_importer.importers.bnf.detect.BnfIssueDir

A light-weight data structure to represent a newspaper issue.

This named tuple contains basic metadata about a newspaper issue. They can then be used to locate the relevant data in the filesystem or to create canonical identifiers for the issue and its pages.

Note

In case of newspaper published multiple times per day, a lowercase letter is used to indicate the edition number: ‘a’ for the first, ‘b’ for the second, etc.

Note

In BNF data, dates can be given in two different formats (separated with - or /). Also, an issue can have two dates, separated by either - or /.

Parameters:

journal (str) – Newspaper ID.
date (datetime.date) – Publication date or issue.
edition (str) – Edition of the newspaper issue (‘a’, ‘b’, ‘c’, etc.).
path (str) – Path to the directory containing the issue’s OCR data.
rights (str) – Access rights on the data (open, closed, etc.).
secondary_date (datetime.date) – Secondary publication date or issue.

>>> from datetime import date
>>> i = BnfIssueDir(
    journal='Marie-Claire',
    date=datetime.date(1938, 3, 11),
    edition='a',
    path='./BNF/files/4701034.zip',
    rights='open_public',
    secondary_date = None
)

text_importer.importers.bnf.detect.assign_editions(issues: list[IssueDirectory]) → list[IssueDirectory]

Assign updated edition numbers to each issue of a given day.

TFor BNF, the issues are not organized by date or edition in the file system. Hence, when multiple issues exist for a given day, an indexing must be applied to assign edition numbers.

Parameters:: issues (list[BnfIssueDir]) – List of issues for a given day.
Returns:: List of issues with updated editions.
Return type:: list[BnfIssueDir]

text_importer.importers.bnf.detect.detect_issues(base_dir: str, access_rights: str = None) → list[IssueDirectory]

Detect BNF issues to import within the filesystem

This function the directory structure used by BNF (one subdir by journal).

Parameters:

base_dir (str) – Path to the base directory of newspaper data.
access_rights (str, optional) – Not used for this importer, but argument is kept for normality. Defaults to None.

Returns:

List of BnfIssueDir instances, to be imported.

Return type:

list[BnfIssueDir]

text_importer.importers.bnf.detect.dir2issue(issue_path: str, access_rights_dict: dict) → IssueDirectory

Create a BnfIssueDir object from an archive path.

Note

This function is called internally by detect_issues

Parameters:

issue_path (str) – The path of the issue within the archive.
access_rights_dict (dict) – Access rights for this issue.

Returns:

New BnfIssueDir object

Return type:

BnfIssueDir

text_importer.importers.bnf.detect.get_id(issue: IssueDirectory) → str

Return an issue’s canonical ID given its IssueDir.

Parameters:: issue (BnfIssueDir) – IssueDir of issue.
Returns:: Canonical ID of issue.
Return type:: str

text_importer.importers.bnf.detect.get_number(issue: IssueDirectory) → str

Return an issue’s original identifying number given its IssueDir.

Parameters:: issue (BnfIssueDir) – IssueDir of issue.
Returns:: Identifying number in BNF’s original file structure.
Return type:: str

text_importer.importers.bnf.detect.select_issues(base_dir: str, config: dict, access_rights: str) → List[IssueDirectory] | None

Detect selectively newspaper issues to import.

The behavior is very similar to detect_issues() with the only difference that config specifies some rules to filter the data to import. See this section for further details on how to configure filtering.

Parameters:

base_dir (str) – Path to the base directory of newspaper data.
config (dict) – Config dictionary for filtering.
access_rights (str) – Not used for this imported, but argument is kept for normality.

Returns:

List of BnfIssueDir instances, to be imported.

Return type:

Optional[List[BnfIssueDir]]

BNF Helper and Parser methods

Set of helper functions for BNF importer

text_importer.importers.bnf.helpers.SECTION = 'section': Content types as defined in BNF Mets flavour. These are the ones we are interested in parsing. The SECTION type should be flattened, and shouldn’t be part of content items, but it is needed to parse what’s inside.

text_importer.importers.bnf.helpers.add_div(_dict: dict[str, tuple[str, str]], _type: str, div_id: str, label: str) → dict[str, tuple[str, str]]

Adds a div item to the given dictionary (sorted by type).

The types used as keys should be in BNF_CONTENT_TYPES or SECTION.

Parameters:

_dict (dict[str, tuple[str, str]]) – The dictionary where to add the div
_type (str) – The type of the new div to add.
div_id (str) – The div ID to add.
label (str) – The label of the div to add.

Returns:

The updated dictionary.

Return type:

dict[str, tuple[str, str]]

text_importer.importers.bnf.helpers.get_dates(date_string: str, separators: list[str]) → list[str | None]

Extract date from given string using list of possible separators.

Assumes that the given date string represents exactly 2 dates. Tries to separate them using the given separators, and return when two date were found, otherwise list of None is returned.

Parameters:

date_string (str) – The date string to separate.
separators (list[str]) – The list of potential separators.

Returns:

Separated date or pair of None.

Return type:

list[Optional[str]]

text_importer.importers.bnf.helpers.get_journal_name(archive_path: str) → str

Return the Journal name from the path of the issue.

It assumes the journal name is one directory above the issue.

Parameters:: archive_path (str) – Path to the issue’s archive
Returns:: Extracted journal name in lowercase.
Return type:: str

text_importer.importers.bnf.helpers.is_multi_date(date_string: str) → bool

Check whether a given date string is composed of more than one date.

This check is based on the assumption that a full date is 10 chars long.

Parameters:: date_string (str) – Date to check for
Returns:: True if the string represents multiple dates
Return type:: bool

text_importer.importers.bnf.helpers.parse_date(date_string: str, formats: list[str], separators: list[str]) → tuple[~.datetime.date, ~.datetime.date | None]

Parse a date given a list of formats.

The input string can sometimes represent a pair of dates, in which case they are both parsed if possible.

Parameters:

date_string (str) – Date string to parse.
formats (list[str]) – Possible dates formats.
separators (list[str]) – List of possible date separators.

Raises:

ValueError – The input date string is too short to be a full date.
ValueError – The string contains two dates that could not be split correctly.
ValueError – The (first) date could not be parsed correctly.

Returns:

Parsed date, potentially: parsed pair of dates.

Return type:

tuple[datetime.date, Optional[datetime.date]]

Utility functions to parse BNF ALTO files.

text_importer.importers.bnf.parsers.parse_div_parts(div: Tag) → list[dict[str, str | int]]

Parse the parts of a given div element.

Typically, any div of type in BNF_CONTENT_TYPES is composed of child divs. This is what this function parses. Each element of the output contains keys {‘comp_role’, ‘comp_id’, ‘comp_fileid’, ‘comp_page_no’}.

Parameters:: div (Tag) – Child div to parse.
Returns:: The list of parts of this Tag.
Return type:: list[dict[str, str | int]]

text_importer.importers.bnf.parsers.parse_embedded_cis(div: Tag, label: str, issue_id: str, parent_id: str | None, counter: int) → tuple[list[dict], int]

Parse the div Tags embedded in the given one.

The input div should be of type in BNF_CONTENT_TYPES and should have children of types also in that category. Each child tag represents separate content items, which should thus be processed separately.

Parameters:

div (Tag) – The parent tag.
label (str) – The label of the parent tag.
issue_id (str) – The ID of the issue.
parent_id (str | None) – The ID of the parent tag (to put into pOf).
counter (int) – Counter for content items.

Returns:

The embedded CIs and resulting updated counter.

Return type:

tuple[list[dict], int]

text_importer.importers.bnf.parsers.parse_printspace(element: Tag, mappings: dict[str, str]) → tuple[list[dict], list[str] | None]

Parse the <PrintSpace> element of an ALTO XML document for BNF.

Parameters:

element (Tag) – Input XML element (<PrintSpace>).
mappings (Dict[str, str]) – Description of parameter mappings.

Returns:

Parsed regions and paragraphs, and: potential notes on issues encountered during the parsing.

Return type:

tuple[list[dict], list[str] | None]