pydracor 3.0.0

Python package which wraps methods from pydracor-base to interact with the DraCor API.

pydracor

pydracor is a Python package which provides access to the DraCor API. It is based on pydracor-base which was automatically generated using OpenAPITools.

Acknowledgment:

The development of this package was supported by Computational Literary Studies Infrastructure (CLS INFRA). CLS INFRA has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004984.

Installation

pip install pydracor

Classes

• DraCorAPI

  Base class used to represent the Drama Corpus entity with which Corpus and Play are created.

• Corpus

  A class with which the corpora/{corpusname} endpoints can be requested

• Play

  A class with which the corpora/{corpusname}/plays/{playname} endpoint can be requested

• DTS

  A class with which the dts endpoints can be requested

• Wikidata

  A class with which the wikidata endpoints can be requested

Code examples

Import all classes

from pydracor import DraCorAPI, Corpus, Play, Wikidata, DTS

Dracor

• Initialize a DraCor instance

  dracor = DraCorAPI()
  

• Initialize a local DraCor instance by setting the host

  dracor = DraCor(host="http://localhost:8088/api/v1")
  

• Get summary as an Info object (/info)

  dracor.get_info()
  

• Get the list of available corpora in DraCor (/info/copora) and get names

  corpora = dracor.get_corpora()
  corpora_metrics = dracor.get_corpora(include='metrics')
  corpora_names = [corpus.name for corpus in corpora]
  

• Get the resolved id for a play (/id/{id})

  dracor.get_resolve_play_id("als000001")
  

• Get the plays with characters by wikidata id

  dracor.get_plays_with_character_by_id("Q131412")
  

Corpus

• Initialize a Corpus instance with the DraCor class (/corpora/{corpusname})

  corpus = dracor.get_corpus('rus')
  

• Corpus info as dictionary

  corpus.to_dict()
  

• Access corpus attributes, plays as a list of PlayInCorpus objects

  corpus.name
  corpus.plays
  

• Extract all play ids from the corpus

  play_ids = [play.id for play in corpus.plays]
  

• Filter plays: normalized year after 1800

  plays_after_1800 = [play for play in corpus.plays if play.year_normalized > 1800]
  

• Get list of metadata for all plays in a corpus (/corpora/{corpusname}/metadata)

  metadata = corpus.metadata()
  

• Filter plays: Number of Acts more than five

  plays_more_than_five_acts = [play for play in metadata if play.num_of_acts > 5]
  

• Convert metadata to DataFrame

  import pandas as pd
  play_metadata_df = pd.DataFrame([play_metadata.to_dict() for play_metadata in metadata])
  

• Get metadata as csv (/corpora/{corpus}/metadata/csv)

  metadata_csv = corpus.get_metadata_csv()
  

• Create Play in corpus (corpora/{corpusname}/plays/{playname})

  play = corpus.get_play("gogol-revizor")
  

Play

• Initialize a Play instance by corpus name and play name (corpora/{corpusname}/plays/{playname})

  play = dracor.get_play("ger","gengenbach-der-nollhart")
  

• Extract summary in a dictionary

  play.to_dict()
  

• Access Play attributes

  play.normalized_genre
  play.characters
  

• Get and access network metrics for a single play (corpora/{corpusname}/plays/{playname}/metrics)

  metrics = play.get_metrics()
  metrics.average_degree
  

• Get a list of characters of a play (corpora/{corpusname}/plays/{playname}/characters)

  characters = play.get_characters()
  

• Convert character list to DataFrame

  import pandas as pd
  df = pd.DataFrame([character.to_dict() for character in characters])
  

• Get a list of characters of a play as csv (corpora/{corpusname}/plays/{playname}/characters/csv)

  play.get_characters_csv()
  

• Get networkdata of a play in different formats (corpora/{corpusname}/plays/{playname}/networkdata/{graphml, gexf, csv})

  play.get_networkdata("graphml")
  play.get_networkdata("gexf")
  play.get_networkdata("csv")
  

• Get relations of a play in different formats (corpora/{corpusname}/plays/{playname}/relations/{graphml, gexf, csv})

  play.get_relations("graphml")
  play.get_relations("gexf")
  play.get_relations("csv")
  

• Get spoken text of a play (excluding stage directions) (corpora/{corpusname}/plays/{playname}/spoken-text)

  play.get_spoken_text()
  play.get_spoken_text(sex='MALE')
  play.get_spoken_text(relation='siblings')
  

• Get spoken text for each character of a play (corpora/{corpusname}/plays/{playname}/spoken-text-by-character)

  play.get_spoken_text_by_character()
  

• Get stage directions of a play (corpora/{corpusname}/plays/{playname}/stage-directions)

  play.get_stage_directions()
  

• Get stage directions and speaker text of a play (corpora/{corpusname}/plays/{playname}/stage-directions-with-speakers)

  play.get_stage_directions_with_speakers()
  

DTS (Distributed Text Services)

• Initialize a DTS instance

  dts = DTS()
  

• Get Entrypoint of the DraCor DTS implementation (/dts)

  dts.get_dts()
  

• Get the list of the available collections of a corpus (/dts/collection)

  dts.get_collection("rus")
  

• Use navigation endpoint of DTS (/dts/navigation)

  dts.get_navigation("rus000160", "body/div[1]")
  dts.get_navigation("rus000160", start="body/div[2]/div[1]", end="body/div[2]/div[2]")
  

• Use document endpoint of DTS (/dts/document)

  dts.get_document("rus000160", "body/div[1]")
  dts.get_document("rus000160", start="body/div[2]/div[1]", end="body/div[2]/div[2]")
  

Wikidata

• Initialize a Wikidata instance

  wikidata = Wikidata()
  

• Get author information by WikidataID

  author_info = wikidata.get_author_info("Q34628")
  

• Get Wikidata Mix'n'match information as CSV

  wikidata_mixnmatch = wikidata.get_mixnmatch()
  

License

MIT