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I had ChatGPT come up with a strategy for including perio.do data into XRONOS, here is the result:
This strategy integrates Perio.do periods into XRONOS by matching Typo entries to Perio.do periods (PeriodoItem) based on name and country (derived from site via context).
1. Add a PeriodoItem Model
Introduce a PeriodoItem model to store Perio.do periods.
name (string): Name of the historical period (e.g., “Bronze Age”).
period_id (string): Unique identifier for the period.
countries (array or text): List of associated countries (names or Wikidata Q entities).
2. Synchronize Perio.do Data
Create a rake task to fetch and populate the PeriodoItem model with data from Perio.do.
Example task:
namespace:periodododesc"Sync Perio.do data with XRONOS"tasksync: :environmentdorequire'open-uri'require'json'url='https://data.perio.do/dataset/'periodo_data=JSON.parse(URI.open(url).read)periodo_data['authorities'].eachdo |authority|
authority['definitions'].eachdo |key,period|
PeriodoItem.find_or_create_by(name: period['label'].strip,period_id: key,countries: period['spatialCoverage']&.map{ |place| place['label']})endendendend
Data Structure: The Perio.do dataset organizes periods within authorities, with each period containing a label and spatialCoverage (countries).
3. Match Logic in Models
a) Matching Periods to a Typo
Add a method in the Typo model to find matching periods.
Example method:
classTypo < ApplicationRecorddefmatch_to_periodsPeriodoItem.where("name ILIKE ? AND countries @> ARRAY[?]::varchar[]",self.name,self.site&.country_name)endend
Key Points:
self.name: Matches the Typo name to the PeriodoItem name.
self.site&.country_name: Fetches the associated site’s country via context.
Usage:
typo=Typo.find(1)matching_periods=typo.match_to_periodsmatching_periods.eachdo |period|
puts"Typo '#{typo.name}' matches Period '#{period.name}' (#{period.period_id})"end
b) Matching Typos to a PeriodoItem
Add a method in the PeriodoItem model to find matching Typo entries.
Example method:
classPeriodoItem < ApplicationRecorddefmatch_typosTypo.joins(:sample).joins("INNER JOIN contexts ON contexts.id = samples.context_id").joins("INNER JOIN sites ON sites.id = contexts.site_id").where("typos.name ILIKE ? AND sites.country_name = ANY(?)",self.name,self.countries).distinctendend
Key Points:
Joins Sample, Context, and Site to access country_name from the associated site.
Matches Typo names and country data with PeriodoItem.
I had ChatGPT come up with a strategy for including perio.do data into XRONOS, here is the result:
This strategy integrates Perio.do periods into XRONOS by matching Typo entries to Perio.do periods (PeriodoItem) based on name and country (derived from site via context).
1. Add a PeriodoItem Model
Introduce a PeriodoItem model to store Perio.do periods.
Example schema:
Attributes:
2. Synchronize Perio.do Data
Create a rake task to fetch and populate the PeriodoItem model with data from Perio.do.
Example task:
Data Structure: The Perio.do dataset organizes periods within authorities, with each period containing a label and spatialCoverage (countries).
3. Match Logic in Models
a) Matching Periods to a Typo
Add a method in the Typo model to find matching periods.
Example method:
Key Points:
Usage:
b) Matching Typos to a PeriodoItem
Add a method in the PeriodoItem model to find matching Typo entries.
Example method:
Key Points:
Usage:
4. Further Tasks
Benefits
Potential Issues
Related issues:
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